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diff --git a/alex/alex-baybe-inhibitor.ipynb b/alex/alex-baybe-inhibitor.ipynb
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@@ -0,0 +1,3831 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           Time_h          pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+      "count  515.000000  515.000000          515.000000         515.000000   \n",
+      "mean   157.151456    6.613592            0.006934           0.113476   \n",
+      "std    212.312862    2.270734            0.012923           0.159137   \n",
+      "min      0.500000    0.000000            0.000010           0.000000   \n",
+      "25%     24.000000    4.400000            0.001000           0.050000   \n",
+      "50%     24.000000    7.000000            0.001000           0.100000   \n",
+      "75%    240.000000    7.000000            0.003000           0.100000   \n",
+      "max    672.000000   10.000000            0.100000           0.600000   \n",
+      "\n",
+      "        Efficiency  \n",
+      "count   515.000000  \n",
+      "mean     18.439395  \n",
+      "std     313.671188  \n",
+      "min   -4834.000000  \n",
+      "25%      25.625000  \n",
+      "50%      50.000000  \n",
+      "75%      85.475000  \n",
+      "max     100.000000  \n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "df_AA2024 = pd.read_excel('/data/averaged_filtered_AA2024.xlsx')\n",
+    "print(df_AA2024.describe())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                  SMILES  Time_h    pH  Inhib_Concentrat_M  \\\n",
+      "0                   C(=O)(C(=O)[O-])[O-]    24.0   4.0              0.0010   \n",
+      "1                   C(=O)(C(=O)[O-])[O-]    24.0   7.0              0.0005   \n",
+      "2                   C(=O)(C(=O)[O-])[O-]    24.0  10.0              0.0010   \n",
+      "3  C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O    24.0   4.0              0.0010   \n",
+      "4  C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O    24.0   7.0              0.0005   \n",
+      "\n",
+      "   Salt_Concentrat_M  Efficiency  \n",
+      "0               0.10       20.00  \n",
+      "1               0.05       12.35  \n",
+      "2               0.10       20.00  \n",
+      "3               0.10       30.00  \n",
+      "4               0.05      -23.95  \n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df_AA2024.head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           Time_h          pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+      "count  333.000000  333.000000        3.330000e+02         333.000000   \n",
+      "mean    79.969970    0.440733        1.510580e-01           0.051051   \n",
+      "std    143.826377    1.913196        5.784776e-01           0.301263   \n",
+      "min      0.000000   -0.600000        1.000000e-07           0.000000   \n",
+      "25%      2.000000   -0.136721        2.000000e-04           0.000000   \n",
+      "50%      5.500000    0.000000        1.800000e-03           0.000000   \n",
+      "75%     96.000000    1.000000        4.279601e-03           0.000000   \n",
+      "max    720.000000   13.000000        3.280000e+00           2.000000   \n",
+      "\n",
+      "       Efficiency  \n",
+      "count  333.000000  \n",
+      "mean    60.781498  \n",
+      "std     22.139768  \n",
+      "min    -49.170000  \n",
+      "25%     47.066667  \n",
+      "50%     66.000000  \n",
+      "75%     77.220000  \n",
+      "max     96.200000  \n"
+     ]
+    }
+   ],
+   "source": [
+    "df_AA1000 = pd.read_excel('/workspaces/project-project-surface-science-syndicate/data/averaged_filtered_AA1000.xlsx')\n",
+    "print(df_AA1000.describe())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Construct dataframe to work with"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df_AA2024\n",
+    "df_transfer = df_AA1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_combined = pd.concat([df, df_transfer], axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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></th>\n",
+       "      <th>Time_h</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>Inhib_Concentrat_M</th>\n",
+       "      <th>Salt_Concentrat_M</th>\n",
+       "      <th>Efficiency</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>848.000000</td>\n",
+       "      <td>848.000000</td>\n",
+       "      <td>8.480000e+02</td>\n",
+       "      <td>848.000000</td>\n",
+       "      <td>848.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>126.843160</td>\n",
+       "      <td>4.189580</td>\n",
+       "      <td>6.352976e-02</td>\n",
+       "      <td>0.088962</td>\n",
+       "      <td>35.066659</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>192.055676</td>\n",
+       "      <td>3.696183</td>\n",
+       "      <td>3.690920e-01</td>\n",
+       "      <td>0.227758</td>\n",
+       "      <td>245.617010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.600000</td>\n",
+       "      <td>1.000000e-07</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-4834.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.000000e-04</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>35.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.010000</td>\n",
+       "      <td>60.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>144.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>4.200000e-03</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>80.507500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>720.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>3.280000e+00</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Time_h          pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+       "count  848.000000  848.000000        8.480000e+02         848.000000   \n",
+       "mean   126.843160    4.189580        6.352976e-02           0.088962   \n",
+       "std    192.055676    3.696183        3.690920e-01           0.227758   \n",
+       "min      0.000000   -0.600000        1.000000e-07           0.000000   \n",
+       "25%      6.000000    0.000000        5.000000e-04           0.000000   \n",
+       "50%     24.000000    4.000000        1.000000e-03           0.010000   \n",
+       "75%    144.000000    7.000000        4.200000e-03           0.100000   \n",
+       "max    720.000000   13.000000        3.280000e+00           2.000000   \n",
+       "\n",
+       "        Efficiency  \n",
+       "count   848.000000  \n",
+       "mean     35.066659  \n",
+       "std     245.617010  \n",
+       "min   -4834.000000  \n",
+       "25%      35.000000  \n",
+       "50%      60.000000  \n",
+       "75%      80.507500  \n",
+       "max     100.000000  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_combined.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "for i, column in enumerate(df.columns, 1):\n",
+    "    sns.histplot(df[column])\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Set targets/objectives = efficiency for now"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vscode/.local/lib/python3.10/site-packages/baybe/telemetry.py:222: UserWarning: WARNING: BayBE Telemetry endpoint https://public.telemetry.baybe.p.uptimize.merckgroup.com:4317 cannot be reached. Disabling telemetry. The exception encountered was: ConnectionError, HTTPConnectionPool(host='verkehrsnachrichten.merck.de', port=80): Max retries exceeded with url: / (Caused by NameResolutionError(\"<urllib3.connection.HTTPConnection object at 0x7f86955630a0>: Failed to resolve 'verkehrsnachrichten.merck.de' ([Errno -2] Name or service not known)\"))\n",
+      "  warnings.warn(\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "from baybe.targets import NumericalTarget\n",
+    "from baybe.objective import Objective\n",
+    "\n",
+    "target = NumericalTarget(\n",
+    "    name=\"Efficiency\",\n",
+    "    mode=\"MAX\",\n",
+    ")\n",
+    "objective = Objective(mode=\"SINGLE\", targets=[target])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Search Space"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.parameters import NumericalContinuousParameter, CategoricalParameter, NumericalDiscreteParameter\n",
+    "from baybe.searchspace import SearchSpace\n",
+    "\n",
+    "basic_parameters=[\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Time_h\",\n",
+    "    values=df_combined[\"Time_h\"].unique(),\n",
+    "    tolerance=5/60,\n",
+    "),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"pH\",\n",
+    "    values=df_combined[\"pH\"].unique(),\n",
+    "    ),  \n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Inhib_Concentrat_M\",\n",
+    "    values=df_combined[\"Inhib_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Salt_Concentrat_M\",\n",
+    "    values=df_combined[\"Salt_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Substance parameter**\n",
+    "\n",
+    "Instead of values, this parameter accepts data in form of a dictionary. The items correspond to pairs of labels and SMILES. SMILES are string-based representations of molecular structures. Based on these, BayBE can assign each label a set of molecular descriptors as encoding."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'C(=O)(C(=O)[O-])[O-]': 'C(=O)(C(=O)[O-])[O-]', 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O': 'C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Fe+2]', 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]': 'C(C(C(C(C(C(=O)[O-])O)O)O)O)O.C(C(C(C(C(C(=O)[O-])O)O)O)O)O.[Zn+2]', 'C1=CC(=C(C=C1O)O)C=NNC(=S)N': 'C1=CC(=C(C=C1O)O)C=NNC(=S)N', 'C1=CC(=C(C=C1SSC2=CC(=C(C=C2)[N+](=O)[O-])C(=O)O)C(=O)O)[N+](=O)[O-]': 'C1=CC(=C(C=C1SSC2=CC(=C(C=C2)[N+](=O)[O-])C(=O)O)C(=O)O)[N+](=O)[O-]', 'C1=CC(=CC(=C1)S)C(=O)O': 'C1=CC(=CC(=C1)S)C(=O)O', 'C1=CC2=NNN=C2C=C1Cl': 'C1=CC2=NNN=C2C=C1Cl', 'C1=CC=C(C(=C1)C=NNC(=S)N)O': 'C1=CC=C(C(=C1)C=NNC(=S)N)O', 'C1COCCN1CCCS(=O)(=O)O': 'C1COCCN1CCCS(=O)(=O)O', 'C1N2CN3CN1CN(C2)C3': 'C1N2CN3CN1CN(C2)C3', 'C=CC(=O)OCCOC(=O)OCCSc1ncccn1': 'C=CC(=O)OCCOC(=O)OCCSc1ncccn1', 'CC(=O)O': 'CC(=O)O', 'CC(=O)SSC(=O)C': 'CC(=O)SSC(=O)C', 'CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=C(C=C3)O)N)C(=O)O)C': 'CC1(C(N2C(S1)C(C2=O)NC(=O)C(C3=CC=C(C=C3)O)N)C(=O)O)C', 'CCCCCCCC/C=C\\\\CCCCCCCC(=O)O': 'CCCCCCCC/C=C\\\\CCCCCCCC(=O)O', 'CCCCCCCCCCCCCCCCCC(=O)O': 'CCCCCCCCCCCCCCCCCC(=O)O', 'CCCCCCCCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]': 'CCCCCCCCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]', 'CCCCCCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]': 'CCCCCCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]', 'CCCCCCCCCCCCOS(=O)(=O)O': 'CCCCCCCCCCCCOS(=O)(=O)O', 'CCCCCCCCCCCCc1ccccc1S([O])([O])O': 'CCCCCCCCCCCCc1ccccc1S([O])([O])O', 'CCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]': 'CCCCCCCCN(CC(=O)O[Na])CC(=O)O[Na]', 'CCCCN(CCCC)C1=NC(=NC(=N1)NC(CCSC)C(=O)O)NC(CCSC)C(=O)O': 'CCCCN(CCCC)C1=NC(=NC(=N1)NC(CCSC)C(=O)O)NC(CCSC)C(=O)O', 'CCCCOP(=O)(OCCCC)O': 'CCCCOP(=O)(OCCCC)O', 'CCN(C(=S)S)CC': 'CCN(C(=S)S)CC', 'CCOc1ccc2c(c1)nc([nH]2)S': 'CCOc1ccc2c(c1)nc([nH]2)S', 'CCSc1nnc(s1)N': 'CCSc1nnc(s1)N', 'CN1C=NC2=C1C(=O)N(C(=O)N2C)C': 'CN1C=NC2=C1C(=O)N(C(=O)N2C)C', 'CNCC(C1=CC(=CC=C1)O)O': 'CNCC(C1=CC(=CC=C1)O)O', 'COC(=O)CCCC1=CNC2=CC=CC=C21': 'COC(=O)CCCC1=CNC2=CC=CC=C21', 'COC(=O)n1nnc2ccccc12': 'COC(=O)n1nnc2ccccc12', 'COCCOC(=O)OCSc1nc2c(s1)cccc2': 'COCCOC(=O)OCSc1nc2c(s1)cccc2', 'COc1ccc2c(c1)[nH]c(=S)[nH]2': 'COc1ccc2c(c1)[nH]c(=S)[nH]2', 'COc1cccc(c1)c1n[nH]c(=S)[nH]1': 'COc1cccc(c1)c1n[nH]c(=S)[nH]1', 'CS[C]1N[N]C(=N1)N': 'CS[C]1N[N]C(=N1)N', 'CSc1[nH]c2c(n1)cc(c(c2)C)C': 'CSc1[nH]c2c(n1)cc(c(c2)C)C', 'CSc1nnc(s1)N': 'CSc1nnc(s1)N', 'Cc1cc(C)nc(n1)S': 'Cc1cc(C)nc(n1)S', 'Cc1ccc(c(c1)n1nc2c(n1)cccc2)O': 'Cc1ccc(c(c1)n1nc2c(n1)cccc2)O', 'Cc1ccc2c(c1)nc([nH]2)S': 'Cc1ccc2c(c1)nc([nH]2)S', 'Cc1n[nH]c(=S)s1': 'Cc1n[nH]c(=S)s1', 'Cc1nsc(c1)N': 'Cc1nsc(c1)N', 'ClC([C]1N[N]C=N1)(Cl)Cl': 'ClC([C]1N[N]C=N1)(Cl)Cl', 'Clc1cc2[nH]c(=S)[nH]c2cc1Cl': 'Clc1cc2[nH]c(=S)[nH]c2cc1Cl', 'Clc1ccc(cc1)CC[C@](C(C)(C)C)(Cn1cncn1)O': 'Clc1ccc(cc1)CC[C@](C(C)(C)C)(Cn1cncn1)O', 'Clc1ccc(cc1Cl)c1n[nH]c(=S)[nH]1': 'Clc1ccc(cc1Cl)c1n[nH]c(=S)[nH]1', 'Clc1ccc2c(c1)[nH]c(n2)S': 'Clc1ccc2c(c1)[nH]c(n2)S', 'Clc1cccc(c1)c1n[nH]c(=S)[nH]1': 'Clc1cccc(c1)c1n[nH]c(=S)[nH]1', 'Cn1cnnc1S': 'Cn1cnnc1S', 'Cn1nnnc1S': 'Cn1nnnc1S', 'N.N.[N+](=O)(O)[O-].[N+](=O)(O)[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].O.O.O.O.[Ce+3]': 'N.N.[N+](=O)(O)[O-].[N+](=O)(O)[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].O.O.O.O.[Ce+3]', 'NC(=S)NN=CC1=C(C(=C(C=C1)O)O)O': 'NC(=S)NN=CC1=C(C(=C(C=C1)O)O)O', 'NCC(=O)O': 'NCC(=O)O', 'NO': 'NO', 'Nc1cc(N)nc(n1)S': 'Nc1cc(N)nc(n1)S', 'Nc1cc(S)nc(n1)N': 'Nc1cc(S)nc(n1)N', 'Nc1ccc2c(c1)sc(=S)[nH]2': 'Nc1ccc2c(c1)sc(=S)[nH]2', 'Nc1ccnc(n1)S': 'Nc1ccnc(n1)S', 'Nc1n[nH]c(=S)s1': 'Nc1n[nH]c(=S)s1', 'Nc1n[nH]c(n1)S': 'Nc1n[nH]c(n1)S', 'Nc1n[nH]cn1': 'Nc1n[nH]cn1', 'Nc1nc([nH]n1)C(=O)O': 'Nc1nc([nH]n1)C(=O)O', 'Nc1ncncc1N': 'Nc1ncncc1N', 'Nn1c(NN)nnc1S': 'Nn1c(NN)nnc1S', 'Nn1c(S)nnc1c1ccccc1': 'Nn1c(S)nnc1c1ccccc1', 'Nn1cnnc1': 'Nn1cnnc1', 'O/N=C(/C(=N/O)/C)\\\\C': 'O/N=C(/C(=N/O)/C)\\\\C', 'O/N=C(\\\\C(=N/O)\\\\c1ccco1)/c1ccco1': 'O/N=C(\\\\C(=N/O)\\\\c1ccco1)/c1ccco1', 'O=C([O-])C(O)C(O)C(O)C(O)CO.[Na+]': 'O=C([O-])C(O)C(O)C(O)C(O)CO.[Na+]', 'OC(=O)/C=C/c1ccccc1': 'OC(=O)/C=C/c1ccccc1', 'OC(=O)CCCCC(=O)O': 'OC(=O)CCCCC(=O)O', 'OC(=O)CCCCCCCCCCCCCCC(=O)O': 'OC(=O)CCCCCCCCCCCCCCC(=O)O', 'OC(=O)CCS': 'OC(=O)CCS', 'OC(=O)CN(CC(=O)O)CCN(CC(=O)O)CC(=O)O': 'OC(=O)CN(CC(=O)O)CCN(CC(=O)O)CC(=O)O', 'OC(=O)CS': 'OC(=O)CS', 'OC(=O)Cn1nnnc1S': 'OC(=O)Cn1nnnc1S', 'OC(=O)c1ccc(=S)[nH]c1': 'OC(=O)c1ccc(=S)[nH]c1', 'OC(=O)c1ccc(cc1)N': 'OC(=O)c1ccc(cc1)N', 'OC(=O)c1ccc(cc1)S': 'OC(=O)c1ccc(cc1)S', 'OC(=O)c1ccc(cc1)c1ccccc1': 'OC(=O)c1ccc(cc1)c1ccccc1', 'OC(=O)c1ccccc1': 'OC(=O)c1ccccc1', 'OC(=O)c1ccccc1O': 'OC(=O)c1ccccc1O', 'OC(=O)c1ccccc1S': 'OC(=O)c1ccccc1S', 'OC(=O)c1ccccn1': 'OC(=O)c1ccccn1', 'OC(=O)c1cccnc1': 'OC(=O)c1cccnc1', 'OC(=O)c1cccnc1S': 'OC(=O)c1cccnc1S', 'OC(=O)c1ccncc1': 'OC(=O)c1ccncc1', 'OC(=O)c1n[nH]c(n1)N': 'OC(=O)c1n[nH]c(n1)N', 'OCC(CO)O': 'OCC(CO)O', 'OC[C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O': 'OC[C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O', 'OC[C@H]([C@H]([C@@H]([C@H](C(=O)O)O)O)O)O': 'OC[C@H]([C@H]([C@@H]([C@H](C(=O)O)O)O)O)O', 'OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O': 'OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O', 'O[C@H]1C(=O)OCC1(C)C': 'O[C@H]1C(=O)OCC1(C)C', 'Oc1ccc(cc1)C(=O)O': 'Oc1ccc(cc1)C(=O)O', 'Oc1ccc(cc1)S([O])([O])O': 'Oc1ccc(cc1)S([O])([O])O', 'Oc1cccc2c1nccc2': 'Oc1cccc2c1nccc2', 'Oc1ccccc1c1nnc([nH]1)S': 'Oc1ccccc1c1nnc([nH]1)S', 'On1nnc2c1cccc2': 'On1nnc2c1cccc2', 'S=c1[nH]c2c([nH]1)c(=O)n(cn2)C': 'S=c1[nH]c2c([nH]1)c(=O)n(cn2)C', 'S=c1[nH]c2c([nH]1)cncn2': 'S=c1[nH]c2c([nH]1)cncn2', 'S=c1[nH]c2c([nH]1)nccn2': 'S=c1[nH]c2c([nH]1)nccn2', 'S=c1[nH]nc([nH]1)c1cccnc1': 'S=c1[nH]nc([nH]1)c1cccnc1', 'S=c1[nH]nc([nH]1)c1ccco1': 'S=c1[nH]nc([nH]1)c1ccco1', 'S=c1[nH]nc([nH]1)c1ccncc1': 'S=c1[nH]nc([nH]1)c1ccncc1', 'S=c1sc2c([nH]1)cccc2': 'S=c1sc2c([nH]1)cccc2', 'SC#N': 'SC#N', 'S[C]1NC2=C[CH]C=NC2=N1': 'S[C]1NC2=C[CH]C=NC2=N1', 'Sc1n[nH]cn1': 'Sc1n[nH]cn1', 'Sc1nc(N)c(c(n1)S)N': 'Sc1nc(N)c(c(n1)S)N', 'Sc1nc(N)c2c(n1)[nH]nc2': 'Sc1nc(N)c2c(n1)[nH]nc2', 'Sc1nc2c([nH]1)cccc2': 'Sc1nc2c([nH]1)cccc2', 'Sc1ncc[nH]1': 'Sc1ncc[nH]1', 'Sc1ncccn1': 'Sc1ncccn1', 'Sc1nnc(s1)S': 'Sc1nnc(s1)S', '[Cl-].[Cl-].[Cl-].[Ce+3]': '[Cl-].[Cl-].[Cl-].[Ce+3]', '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]': '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]', '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]': '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]', '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]': '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]', '[O-]S(=O)[O-].[Na+].[Na+]': '[O-]S(=O)[O-].[Na+].[Na+]', 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]': 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]', 'c1ccc(nc1)c1ccccn1': 'c1ccc(nc1)c1ccccn1', 'c1ccc2c(c1)[nH]nn2': 'c1ccc2c(c1)[nH]nn2', 'c1ncn[nH]1': 'c1ncn[nH]1', 'C(C(CO)([N+](=O)[O-])Br)O': 'C(C(CO)([N+](=O)[O-])Br)O', 'C(CC=O)CC=O': 'C(CC=O)CC=O', 'C1=CC(=C(C=C1F)F)C(CN2C=NC=N2)(CN3C=NC=N3)O': 'C1=CC(=C(C=C1F)F)C(CN2C=NC=N2)(CN3C=NC=N3)O', 'C1=CC(=CN=C1)C=NNC(=S)N': 'C1=CC(=CN=C1)C=NNC(=S)N', 'C1=CC(=NC(=C1)N)N': 'C1=CC(=NC(=C1)N)N', 'C1=CC=C(C=C1)C(C2=CC=CC=C2)(C3=CC=CC=C3Cl)N4C=CN=C4': 'C1=CC=C(C=C1)C(C2=CC=CC=C2)(C3=CC=CC=C3Cl)N4C=CN=C4', 'C1=CC=NC(=C1)C=NNC(=S)N': 'C1=CC=NC(=C1)C=NNC(=S)N', 'C1=CN=C(C=N1)C(=O)N': 'C1=CN=C(C=N1)C(=O)N', 'C1=CN=C(N=C1)N': 'C1=CN=C(N=C1)N', 'C1=CN=CC=C1C=NNC(=S)N': 'C1=CN=CC=C1C=NNC(=S)N', 'C1CCC(=NO)CC1': 'C1CCC(=NO)CC1', 'C=CC1=C(N2C(C(C2=O)NC(=O)C(=NOCC(=O)O)C3=CSC(=N3)N)SC1)C(=O)O': 'C=CC1=C(N2C(C(C2=O)NC(=O)C(=NOCC(=O)O)C3=CSC(=N3)N)SC1)C(=O)O', 'CC(=NO)C': 'CC(=NO)C', 'CC(C)(C)NCC(COC1=CC=CC2=C1CC(C(C2)O)O)O': 'CC(C)(C)NCC(COC1=CC=CC2=C1CC(C(C2)O)O)O', 'CC(C)(C)NCC(COC1=NSN=C1N2CCOCC2)O': 'CC(C)(C)NCC(COC1=NSN=C1N2CCOCC2)O', 'CC(C)NCC(COC1=CC=C(C=C1)CC(=O)N)O': 'CC(C)NCC(COC1=CC=C(C=C1)CC(=O)N)O', 'CC(C)NCC(COC1=CC=CC2=CC=CC=C21)O': 'CC(C)NCC(COC1=CC=CC2=CC=CC=C21)O', 'CC(OC(=O)C)OC(=O)C1=C(CSC2N1C(=O)C2NC(=O)C(=NOC)C3=CC=CO3)COC(=O)N': 'CC(OC(=O)C)OC(=O)C1=C(CSC2N1C(=O)C2NC(=O)C(=NOC)C3=CC=CO3)COC(=O)N', 'CC1=CC=C(C=C1)[N]2N=NC=C2O': 'CC1=CC=C(C=C1)[N]2N=NC=C2O', 'CC1=CN=C(C=N1)C(=O)N': 'CC1=CN=C(C=N1)C(=O)N', 'CC1=NC(=CC=C1)C': 'CC1=NC(=CC=C1)C', 'CCC(=NO)C': 'CCC(=NO)C', 'CCOC(=O)C1=C(C)N=C(S)NC1C2=CC=C(C=C2)Cl': 'CCOC(=O)C1=C(C)N=C(S)NC1C2=CC=C(C=C2)Cl', 'CN(C)CC1CCCCC1(C2=CC(=CC=C2)OC)O': 'CN(C)CC1CCCCC1(C2=CC(=CC=C2)OC)O', 'COC(=O)C1=CC=C(C=C1)[N]2N=NC=C2O': 'COC(=O)C1=CC=C(C=C1)[N]2N=NC=C2O', 'COC1=NC=C(N=C1)C(=O)N': 'COC1=NC=C(N=C1)C(=O)N', 'NC(N)=S': 'NC(N)=S', 'NC1=CCNC(=S)N1': 'NC1=CCNC(=S)N1', 'OC1=C(C=CC=C1)C=NC2=CC=C(C=C2)N=NC3=C(C=CC=C3)N=CC4=C(C=CC=C4)O': 'OC1=C(C=CC=C1)C=NC2=CC=C(C=C2)N=NC3=C(C=CC=C3)N=CC4=C(C=CC=C4)O', 'OC1=CN=N[N]1C2=CC=C(C=C2)Cl': 'OC1=CN=N[N]1C2=CC=C(C=C2)Cl'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Create a dictionary of unique SMILES representations found in the dataframe\n",
+    "\n",
+    "unique_SMILES = df_combined[\"SMILES\"].unique()\n",
+    "\n",
+    "dic_SMILES = dict(zip(unique_SMILES, unique_SMILES))\n",
+    "\n",
+    "print(dic_SMILES)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.parameters import SubstanceParameter\n",
+    "\n",
+    "mordred_parameters = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=dic_SMILES,\n",
+    "        encoding=\"MORDRED\",\n",
+    "    )\n",
+    "]\n",
+    "\n",
+    "rdkit_parameters = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=dic_SMILES,\n",
+    "        encoding=\"RDKIT\",\n",
+    "    )\n",
+    "]\n",
+    "\n",
+    "morganfp_parameters = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=dic_SMILES,\n",
+    "        encoding=\"MORGAN_FP\",\n",
+    "    )\n",
+    "]\n",
+    "\n",
+    "ohe_parameters = basic_parameters + [\n",
+    "    CategoricalParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        values=unique_SMILES,\n",
+    "        encoding=\"OHE\",\n",
+    "    )\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "searchspace_mordred = SearchSpace.from_dataframe(df.drop(\"Efficiency\", axis = 1), mordred_parameters)\n",
+    "searchspace_rdkit = SearchSpace.from_dataframe(df.drop(\"Efficiency\", axis = 1), rdkit_parameters)\n",
+    "searchspace_morganfp = SearchSpace.from_dataframe(df.drop(\"Efficiency\", axis = 1), morganfp_parameters)\n",
+    "searchspace_ohe = SearchSpace.from_dataframe(df.drop(\"Efficiency\", axis = 1), ohe_parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Recommenders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The **SequentialGreedyRecommender** is a powerful recommender that leverages BoTorch optimization functions to perform sequential Greedy optimization. It can be applied for discrete, continuous and hybrid sarch spaces. It is an implementation of the BoTorch optimization functions for discrete, continuous and mixed spaces. **It is important to note that this recommender performs a brute-force search when applied in hybrid search spaces, as it optimizes the continuous part of the space while exhaustively searching choices in the discrete subspace.** You can customize this behavior to only sample a certain percentage of the discrete subspace via the sample_percentage attribute and to choose different sampling strategies via the hybrid_sampler attribute. \n",
+    "\n",
+    "e.g.\n",
+    "strategy = TwoPhaseStrategy(recommender=SequentialGreedyRecommender(hybrid_sampler=\"Farthest\", sampling_percentage=0.3))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For implementing fully customized surrogate models e.g. from sklearn or PyTorch, see:\n",
+    "https://emdgroup.github.io/baybe/examples/Custom_Surrogates/Custom_Surrogates.html\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.recommenders import (\n",
+    "    SequentialGreedyRecommender,\n",
+    "    FPSRecommender,\n",
+    "    TwoPhaseMetaRecommender,\n",
+    ")\n",
+    "\n",
+    "recommender = TwoPhaseMetaRecommender(\n",
+    "    initial_recommender=FPSRecommender(),  # farthest point sampling\n",
+    "    recommender=SequentialGreedyRecommender(),  # Bayesian model-based optimization\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Campaign Strategy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.strategies import TwoPhaseStrategy\n",
+    "from baybe import Campaign\n",
+    "\n",
+    "campaign_rdkit = Campaign(searchspace_rdkit, objective)\n",
+    "campaign_mordred = Campaign(searchspace_mordred, objective)\n",
+    "campaign_morganfp = Campaign(searchspace_morganfp, objective)\n",
+    "campaign_ohe = Campaign(searchspace_ohe, objective)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Start simulation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scenarios = {\n",
+    "    \"OHE\" : campaign_ohe,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/10 [00:00<?, ?it/s]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      " 10%|#         | 1/10 [00:09<01:24,  9.35s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 20%|##        | 2/10 [00:17<01:10,  8.82s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 30%|###       | 3/10 [00:26<01:00,  8.68s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 40%|####      | 4/10 [00:35<00:52,  8.75s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 50%|#####     | 5/10 [00:43<00:43,  8.68s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 60%|######    | 6/10 [00:52<00:35,  8.77s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 70%|#######   | 7/10 [01:00<00:25,  8.65s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 80%|########  | 8/10 [01:09<00:17,  8.71s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 90%|######### | 9/10 [01:18<00:08,  8.74s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "100%|##########| 10/10 [01:26<00:00,  8.67s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from baybe.simulation import simulate_scenarios\n",
+    "\n",
+    "N_MC_ITERATIONS = 10\n",
+    "N_DOE_ITERATIONS = 50\n",
+    "BATCH_SIZE = 1\n",
+    "\n",
+    "results = simulate_scenarios(\n",
+    "    scenarios,\n",
+    "    df,\n",
+    "    batch_size=BATCH_SIZE,\n",
+    "    n_doe_iterations=N_DOE_ITERATIONS,\n",
+    "    n_mc_iterations=N_MC_ITERATIONS,\n",
+    "    impute_mode=\"best\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+X9fc+ZYrtDmQnmDGkZIqlFW5Idd0D8qKQILZgO4Z3qb8kkoXkmNM6N0+AbuPl+OMrym/5l/MvdolYM8JG0orXUiKMeHidvHqa5+6x0sqner7fqwzPiop2oRe7RPwY81nJkbXdBPU/CtbrX9MFPpkegc8l1W7kRTtDbD7T9lqBih7v2trtKmmhaOiThioaRmpE2KsFgO6pcUjr8D7fmu0Ed3T4rG/wNagZaXu8cRoY837vNfz3WOrxb81JKHea5+6x23VHlhjjOiSEoufiu2ocnofpPEWIzITo3GqrAoOj3egvV4nIdpkgDXa6G0lUgCzSVcTgSQYdBKCGV7Q2N+MvkO+y/muG8j4Bd9fuXWvL0nhGQNBLZ8sy3C7G/5jgBpnNBqh1+vPep6BKMxaQyASQqDY7sLR0kqU1AwgjjLoYDHpYTbqoavzl7FRLyEzKRofbDuOm/q1w9S3d+DL/UUNrukbt/L25mO4ZVDDga06CWgTG4XreqXh0eu6Y9vRMxjUMQnfHy6BrAgkx5hg1HtbOMxGPTq1jcGeEzYUVzq9XQXtE7DrmPfhL4T3oZFUpzWgtCaY9GlvrQkJteMWvMcT1fCQHGOseX2mJkxIdcpZa7oMXGgTY0KfTCv2nrCh3OGumelkQpeUWBw/UwW3LCBJ3oeZxahDujUaJ8uqUOmSEW3Uo11iNI6fqUKl06PWJSbKgPaJFhw/U41Kp6fBa/9y0ThxxttK1C4xGifKqlDtkmvui7cVrk1sFM5UuyDLAlE1/8qudskQNd+5rqY7w6jXwa0ogPC+1usk78w7ydte4vs/vk7ydlX5Xut1UoPZfpIEGHQSPDUz/Oq/9pWRUPs5AlC7VhRRGyLqXrN+KPC7FgMCXUCEECgoKEBZWVmkq6I5VqsVaWlpjf6dwEAUZhd6ICqvduNYaRUKyh2QJG+Lgv4sTdN7T9mw8H8HMHFIx7N2NRl0EqIMOpgMOvz52m64/bIsfLrzJL7MK0JqvBlp8WakJZjRNjYK1miT2o1md3pgNuqQ3SYG+07aUFjhhCy8wahvphUHCirgkhWYjXroJSDGbEBavAXFdm9Te5RB5w0DVS41mADeJv+EaCPKq9xwyQqi9DrERxthq3ntY6o57ivne59v3IhOBxh0OkQZdIg26eGu6abQ6yQ+nIkoJKdOnUJZWRlSUlIQHR3Nv1POgxACVVVVKCoqgtVq9Ztx7hPO53eLnWVGoat2yThRVoXjpdVwyQqSY6JgMjS+kqdbVvDmpqP4YPtxDO3cBuMu7YCdx8pw59BsDOqYBLvTgyiDDlEGvRqmfN1ppyucuK53Gnqmx6Os2q0OfjboJLRPsmDnUW/rC+BdL8jpkdEjIx7W8uqasRMmeGSBbmlxMOgb1i813uz3Ojm24ZIJAJAYY/J7ba33+mzlks5SzmQ4ezMtEdH5kmVZDUPJyQ0nE9DZWSwWAEBRURFSUlLO2X0WKgaiC5BbVlBQ7sCR0irYHd5B0MmmxkMEAOQXV+L5tXn4uaQKV3RpgyW3D8DRkiq4PIo6SyyvoAKllS443AoUIWC1GNE+0YIdR8vUMTV921thO1kOh0eGQSchMcaEk2XVSIwxITXBDJNBB7NRD7NBD4Neh8ykmGb8VoiIIsM3Zig6OjrCNdEm3/fmdrsZiFo778rMwjs25ByzMBRFoNjuxJHSKpRWOhFjMiIjwYK28VFwuBTY64xX8V131/EyFNgc+LmkCtddnIaF4/rhVJkDp8odkCQBh0eGrHhbbw6ftqPapSDBYkCH5BgU2hxIifN2j5n0Ojg8MvpmWuGWFRg4Y4SIyA+7yYLTXN8bA1ELZ3O4se+kDR5FQAfvqFW9zjtw1hs6vGN69DoJDreCogoHDDodUuMsateWw6X4jeMBgFPl1Vh/4DQeHtkNf3prOwZnJ+HR67rhVJkDpyucUCDQJyMBCdFG6GvG0XRL8++fzbBaGq0zu5qIiEhrGIhaMEUR+Lm4EmVVbsRbjN51WBTAI4uabSa84ca36JokSUiOiYKx3jgcu9ODYyXV6vT597YdR15BBf72u7748zs7cUmHRFzdPQV2pwwhBEqrnOjUJhZt46L4LxoiIgrIlVdeiX79+mHhwoWRrkpAGIhasKIKJwrKHWgb1zDkBMru9OBocRVSE8xIsBjxt9/1xfOfH8Btl3ZASp1By2eq3LBaTOiQzFkQRESRcvr0acyaNQv/+c9/UFhYiMTERPTt2xezZs3C0KFDI129c/rggw9gNGpv1XAGohbK4Zbxc0klogz6kMOQz9tbjiEpxrsNxPeHizF2QHu/9Ye8iy7K6JYWB7OR3V5ERJEyduxYuFwurFixAp06dUJhYSHWrVuHkpKG2w+1FC6XCyaTCUlJSb9cuAUKz5OWwu74mSqUVblgjQ5Pyt5zshz7Cypwy6BMfH+oGJdmJyG+3r4/p+0OZFgtSIk7+4w0IiJqWmVlZfjmm2/w3HPP4aqrrkJWVhYuvfRSzJgxAzfddJNa5t5770VqairMZjN69eqFTz/9VL3Gt99+iyuuuAIWiwWZmZl44IEHUFlZqZ7v2LEj5syZg0mTJiEuLg4dOnTAq6++6lePRx99FF27dkV0dDQ6deqEmTNn+q2y/eSTT6Jfv35YunQpsrOzYTZ7exuuvPJKTJ06VS135swZ3HHHHUhMTER0dDRGjRqFgwcPNsVXFxIGohboTKULx0qrkBht8mvBCVaJ3Yn1eafx93H98OrXPyE2yqCOKYqN8jYSlle7ERNlQMc2MZwdRkQUQbGxsYiNjcWHH34Ip9PZ4LyiKBg1ahS+++47/Pvf/8bevXsxb948dUr64cOHcd1112Hs2LHYtWsX3n77bXz77beYMmWK33X+9re/YeDAgdi+fTv++Mc/4v7770deXp56Pi4uDsuXL8fevXvx97//Ha+99hoWLFjgd41Dhw7h/fffxwcffIAdO3Y0+vtMnDgRW7Zswccff4wNGzZACIHrr7++xW1hwpWq0bJWqvbICn48UY5iu6vBgoTBcMsK3t1yHI+O6oZn/rMXtwzsoHaH+RZW/Pl0JQ6drsTFGfHITOI6GURE4eRwOJCfn+/XivJL3n//fdx9992orq7GJZdcguHDh2PcuHHo06cPPv/8c4waNQr79u3z2+zc5w9/+AP0ej1eeeUV9di3336L4cOHo7KyEmazGR07dsQVV1yB119/HYB3Yk5aWhqeeuop3HfffY3W6a9//StWrlyJLVu2APC2EM2ZMwcnTpxA27Zt1XJ1B1UfPHgQXbt2xXfffYchQ4YAAEpKSpCZmYkVK1bgt7/9bUjfH1eqvoAV2BwosDmRGqZuq1e+/gnZbaLxyHu78NsBmX5jg3yzzwSAtPgopCeEHsCIiCh0Y8eOxQ033IBvvvkGGzduxOrVqzF//nwsXboURUVFaN++faNhCAB27tyJXbt24Y033lCPeWcpK8jPz0ePHj0AAH369FHPS5KEtLQ0FBXV7lv59ttvY9GiRTh8+DDsdjs8Hk+D0JGVleUXhurbt28fDAYDBg8erB5LTk5Gt27dsG/fvsC+lCbGLrMWpMrlwc8lVYiNMjS6hUWgPttTgM/2FOCV9T9hyEVtkNZI4Cm0OXDiTDU6tokJy2cSEVF4mM1mXHPNNZg5cya+//57TJw4EbNnz1a3szgbu92Oe++9Fzt27FB/du7ciYMHD+Kiiy5Sy9WfCSZJEhTFu//jhg0bMH78eFx//fX49NNPsX37djz++ONwuVx+74mJuXB2HGALUQshhMCRkkrYHR5khKGlJq+gAkvWHwYA3H5ZFgZkJTYoIysCZdVudEmJhTW68f28iIioZejZsyc+/PBD9OnTB8ePH8eBAwcabSW65JJLsHfvXnTu3Dnoz/r++++RlZWFxx9/XD125MiRgK/To0cPeDwebNq0ya/LLC8vDz179gy6fk2BTQItRLHdhRNnHEiOMYW8/s+ZKhfmrt4HjyKQ0ykZvx3QvtFypZUuJMeaOG6IiKgFKSkpwYgRI/Dvf/8bu3btQn5+Pt59913Mnz8fo0ePxvDhwzFs2DCMHTsWa9euRX5+PlavXo01a9YA8M4O+/777zFlyhTs2LEDBw8exEcffdRgUPW5dOnSBUePHsXKlStx+PBhLFq0CKtWrQr4d+nSpQtGjx6Nu+++G99++y127tyJ22+/He3atcPo0aMDvl5TYiBqAVweBT+XVEInSTAb9WgTZ1Jnf9UXG2VAmzhva05j5TyygufW7EfPjHg8el03TM3t0mjAcrhlKEKgY3IMTAb+Z0BE1FLExsZi8ODBWLBgAYYNG4ZevXph5syZuPvuu/Hiiy8C8A66HjRoEG699Vb07NkTjzzyCGRZBuAdG7R+/XocOHAAV1xxBfr3749Zs2YhIyPjvOtw0003Ydq0aZgyZQr69euH77//HjNnzgzq91m2bBkGDBiAX/3qV8jJyYEQAv/9739b3OKNnGWGyM8y+7nYjv0FFUiL9+4/5pv9VXfvMQANjjdW7tWvD6Os2o0Xb+2PA4UVMBsbBishBE6WeccNdUuL44rURERNKJhZZlSruWaZsWkgwmwON46UViHebFQ3Y62795ivBaix8FO/3Bf7i1BW7cYLt/bH94dLGg1DAFBW5UZCtBFZyTEMQ0REROCg6ohSFIEjxVVwuBUkJfhPs/eFnfZJFnx3qBid2sbg1fU/Ia+gosF1uqXFYcKQjoiJ0uOFW/vjva3HMTg7udHPdMsKHB4ZXdISYDFxew4iIiKAgSiiiiqcOFVejbaxja85ZHd68OX+Ilx7cRpeWX8Y8z/La7QcdgJ6nYR7h1+Ej3acwKCOZ99H5nSFE+0SLUiNY7MtERGRDwNRE1IUAZeswC0rcMsCbllRN1Ctcskor3afc/PW2CgDLuuUjFfWH8b4y7IgAThQaG9QrmtqLG6/LAvfHy7GDb3TcazUf+yRT3m1GxaTHlnJ0dyeg4iIqA4GojATQuDw6UrYHC44XQJuRYFHUeCRBQABAUAn6WDUSTDodUiMPvtssvZJFkxavhnfHizGFZ3bYtIV2eccaB0XZcSx0upGB2R7ZAV2pxsXZ8QjztyyRvYTERFFGgNRmDk9Ck6UVcEjC5gNekQZdIjVG2DQSec9gNkXctbsLsA3B4vRMTkashDqAOpzzTKrO9C67vGSShfS4s1ITzj3CqdEREStEQNRmDk93u6x5GhT0FthmE06HCupxmd7CgAAF2ckAKgNO2aTDnZnbbn63WP1y1U6PTDoJG7PQUREdBYMRGHm9MiQFRFS8Ciu8O4Vs+eUDQBwcUbt2gp2pwd2p3+5xvjKKYLbcxAREf0SNheEmdOtAGFY6rLS6UH+6UoAtS1EwSixu5AUY0T7JHaVERERnQ0DUZhVu+SwzODad8oGASA9wYykmOBadnzbc2S3iUWUgWsOERERnQ0DUZjZXW6YwjBOZ8/Jht1lgRBCoMTuRPtEC9rEsquMiIiCc+zYMUyaNAkZGRkwmUzIysrCgw8+iJKSErXMlVdeialTpzZ47/Lly2G1Wv1eS5LU4KclbGnCMURh5JEVVLuUMAWicgDBd5eVVbkRb+H2HEREFLyffvoJOTk56Nq1K9566y1kZ2djz549ePjhh7F69Wps3LgRSUlnXwy4MfHx8cjL819ouCU8pxiIwsjpUeD2KIg1h/a1Oj0yDhZ5F2DsFUQg8m3P0ZvbcxARUQgmT54Mk8mEzz//HBaLdyxqhw4d0L9/f1x00UV4/PHH8fLLLwd0TUmSkJaW1hTVDQkDURi5aqbcn23l6fN1oKACHkUgKcaE1PjGt/U4l9MVTqRbzdyeg4ioBRJCoNotB/QenSQhyqCD06NAEaLB6/NlMerPuzWmtLQUn332GZ599lk1DPmkpaVh/PjxePvtt/HSSy8F9Lu0VAxEYeT0KBDw/ocaCt90+14Z8QE3I9pqtufIbhPD7TmIiFqgareMnrM+C/h9V3Rpgxdu7Y+3Nx/DLYMycfe/tuCbg8UBXWPv0yMRbTq/R//BgwchhECPHj0aPd+jRw+cOXMGp0+fBgC89NJLWLp0qV8Zj8fTYHxQeXk5YmNj/Y5dccUVWL169fn+Gk2CgSiMnB45HDPu1QHVPQPsLpMVAbvLjR5p3J6DiOhC883BYry9+RjuHX4RXll/OOAwFCxxni1Q48ePx+OPP+537IMPPsCcOXP8jsXFxWHbtm1+x+q3QEUCA1EY2R3eFaFD4ZEV7C+obSEKRLHdiZQ4MzKskf8Pi4iIGmcx6rH36ZEBv8/XTeaWFdwzrBMmDOkYUHeZ77PPV+fOnSFJEvbt24ebb765wfl9+/YhMTERbdu2BQAkJCSgc+fOfmVSUlIa/h46XYNyLQEDUZgIIWB3ekKeYfZTcSUcbsW7T1lSNNyyggKbA/rzyFlmkx4dk7k9BxFRSyZJ0nl3WzXGWPNAMAcQboKRnJyMa665Bi+99BKmTZvm14pTUFCAN954A3fccUeLmCEWDgxEYeKSFbhkBSZDaGHkxxO+6fbx0EkSqjwy4i1GdE2N/cWxSUadDgnR7CojIqLwePHFFzFkyBCMHDkSzzzzjN+0+3bt2uHZZ58N+JpCCBQUFDQ4npKSAp0ucv+gZyAKE6fHG4hiQkj9ALC3ZkB1z3Rvd5mnJmSlcMYYERE1sy5dumDLli2YPXs2fve736G0tBRpaWkYM2YMZs+eHfAaRABgs9mQnp7e4PipU6ciOh1fEuc7WuoCZrPZkJCQgPLycsTHB7cydLHdiW1HziA9IfjxO4oQGL90E+xOD/72277omhqHYrsTybEm9GlvDfq6REQUOQ6HA/n5+cjOzm4RKzJrzbm+v3A8v3042CRMfFPuQ3GstAp2pwdmow6d2sQAADyyQDQXVyQiImpSDERhUu3yQBfi1/ljzXT77mnx6sBoRQhuzEpERNTEGIjCxO6Q1ZH/wdp7snZAtY8kiZAHahMREdG58UkbBooiUO2SQ9qyQwihthBdXDOg2ju8Swp5KxAiIiI6Nz5pw8A7w0wOqSWn0OZEaaULBp2ErmlxAACPImDQSyG3PBERUeRxDlNwmut7YyAKA6dHDnlT1x9rusu6pMSqY4Y8soBBp2MLERGRhhmN3vXhqqqqIlwTbfJ9b77vsalwHaIwcHkUyEKBPoRtO/ao44dq9y/zKAqMOl3Iq18TEVHk6PV6WK1WFBUVAQCio6MvmNWdm5IQAlVVVSgqKoLVaoVe37QTjBiIwsDpUUK+hm9D17oDqj2yQKxFx13riYg0zrfgoC8U0fmzWq3NsmAjA1EY2J0eGKTgW3FKK104Ve6ABKBHem0gcisKzIaoMNSQiIgiSZIkpKenIyUlBW63O9LV0Qyj0djkLUM+DERhYHd6YAxhQLWvuyy7bQxiompviaxwUUYioguJXq9vtgc8BYaDU0LklhU4PUpIA5/31Jtu7yMgQgpaREREdH74tA2R06PA7ZFDGvjc2IBqL065JyIiag4MRCFyun1T7oMLLhUON46UeKcU9qwzoFpWBPSSxBlmREREzYBP2xA5PQqEQNBTKPedskEAaGe1IDHapB73KAoMOq5STURE1Bz4tA2R0y0jlOUkGptuD9QsyqhnICIiImoOfNqGqMLpCc+A6nrjh7zbdug4hoiIiKgZMBCFQAiBSmfwm7o63DIOnbYDaKyFSIHFqOdqpkRERM2AgSgETo8Ct6wE3YqTV1ABWRFoExuFlDj/BRg9XIOIiIio2TAQhcC7y70S9Eyw2un28Q1agmRFwGxkICIiImoODEQhcHpkyDVjfdrEmRAb1fjC37FRBrSJ884gq1uu/oDquuUggQOqiYiImgmfuCFwuhVAeP/scCnITLY0CEWxUQZkJlvgcCl+5cxGHfYXVgAAemUkNCgHAAYOqCYiImoW3MssBA63rO5Eb3d6cKykGpnJFhwrqYbN4YbZqEP7JAv2HLehwOZQt/k4UlKJwZ2SMTg7CTuPlaF7Wpz6PrvTA4+sQM81iIiIiJoNA1EIKpxuv/FDdqcHW/LPoEdGPD7fW4BbBmVi0vLN+OZgcYP3XtGlDV64tT++OViMDm2i1TAEeAdUG3VcpZqIiKi5MBAFySMrqHY1HFD9VV4Rdh4vw73DL8Ir6w/jm4PF0NeEG5Oh5kevw/Ez1Vi3rwhjB7TH6QqnGoa81+YaRERERM2pRQciWZbx5JNP4t///jcKCgqQkZGBiRMn4oknnlBnZQkhMHv2bLz22msoKyvD0KFD8fLLL6NLly5NWjeX7J1yX3/MUGZSNG7ok45Pd57EXZdnI7dHKqpccoP3+8YMna5wIjHGCLvDo4Yit6LAYtLDwBYiIiKiZtGin7jPPfccXn75Zbz44ovYt28fnnvuOcyfPx8vvPCCWmb+/PlYtGgRlixZgk2bNiEmJgYjR46Ew+Fo0ro53QrcHuE3zic2yoCbL2mHP721Hau2n8Cx0mpktYk+60DrYyXVKCh3qGOPfOU8soDF2KJvDRER0QWlRT91v//+e4wePRo33HADOnbsiN/85je49tpr8cMPPwDwtg4tXLgQTzzxBEaPHo0+ffrgX//6F06ePIkPP/ywSevm9CgQENDVtFT5Qs47m4/hm4PFMOh1fgOtfWGnbhjytQjVL+dRFESbWnTjHRER0QWlRQeiIUOGYN26dThw4AAAYOfOnfj2228xatQoAEB+fj4KCgqQm5urvichIQGDBw/Ghg0bznpdp9MJm83m9xMop0f2zbgHAJhNOhwrqca+Au9UemO92Wdmk86vXN0xQ/XLCQGYDC361hAREV1QWnQzxGOPPQabzYbu3btDr9dDlmU8++yzGD9+PACgoKAAAJCamur3vtTUVPVcY+bOnYunnnoqpLpVOj0w6GoHPRdXuAB4u7sA/zWE7E4P7E7/co3xlZMkwRlmREREzahFP3XfeecdvPHGG3jzzTexbds2rFixAn/961+xYsWKkK47Y8YMlJeXqz/Hjh0L6P1CCFQ4PI2GFo/sXVhRrwvuqxVCAOAaRERERM2pRbcQPfzww3jssccwbtw4AEDv3r1x5MgRzJ07FxMmTEBaWhoAoLCwEOnp6er7CgsL0a9fv7NeNyoqClFRUWc9/0tccs0eZo10a8lKwxaiQHgUAYNegpFdZkRERM2mRT91q6qqoKvX0qLX66Eo3laY7OxspKWlYd26dep5m82GTZs2IScnp8nq5VJ3uW/49blrApFRF1wgcssKDDquQURERNScWnQL0Y033ohnn30WHTp0wMUXX4zt27fj+eefx6RJkwAAkiRh6tSpeOaZZ9ClSxdkZ2dj5syZyMjIwJgxY5qsXk6PAo8sGg1EoXaZeWQBo04HY5DvJyIiosC16ED0wgsvYObMmfjjH/+IoqIiZGRk4N5778WsWbPUMo888ggqKytxzz33oKysDJdffjnWrFkDs9ncZPXyTblvTDi6zOIsOnWPNCIiImp6kvCO4m3VbDYbEhISUF5ejvj4+F8sf6ioAvmnq5CW0DB0zVuzH98dKsZ9wzrhhj4ZAdelyOZARqIFPdJ/uR5EREStWaDP73Nhv0wQKp3yWcf4+LrMgt12wyMEok36oOtGREREgWMgCpCiCFQ55bNOi/d1melD6PLilHsiIqLmxSdvgJweBS5ZPutK0h7fGKJgA5FofLA2ERERNR0+eQPk9Mhwn2WGGeCdNg8E18ojKwJ6nY6rVBMRETUzPnkD5PIokIU4a5eYb+uOYLrMPIoCg06C0cAZZkRERM2JgShATo8CnGXKPRDatHuPXLNKNVuIiIiImhWfvAGyOz0wSGf/2jw1q2gHs7Cid9sOXfDjj4iIiCgoDEQBqnR6zrnPmLuR3e7Pl0dWYDHqIUkMRERERM2JgSgAblmBw9P4HmY+oUy7dytcg4iIiCgSGIgC4PQocHvkc84C83WZGYLoMlOEArORgYiIiKi5MRAFwOn2Tbk/e+uPb5ZZMLvVS+CAaiIiokjg0zcALlmBAM45xset+Ha7DywQ+baUCyZIERERUWgYiALgcMn4pbhSO+0+sK9WVgT0eumcA7aJiIioafDpG4AKp+cXu7TULrMAW4g8ioBBJ3GVaiIiogjg0zcA1S75nGsECSHUvcwC7TLzyAJGnY5jiIiIiCKAT98A/NL4IV93GRB4l5lbUWAy6IKark9EREShYSAKI0/dQBREC5GFaxARERFFBANRGPnGDwGB73bvURREcw0iIiKiiGAgCiPflHsACLTnSwCcYUZERBQhfAKHkTrlXicFtR8ZZ5gRERFFBp/AYVS7SnVgX6siBHRcpZqIiChi+AQOo2BXqfbIAgY9u8yIiIgihU/gMJJl3yrVgS7KqMCg13HbDiIioghhIAojjzqGKMAZZrKAQafjGCIiIqII4RM4jDyyt8ss0JYejyJgMeqDGohNREREoWMgCiN30Nt2KLCYeCuIiIgihU/hMKo77T4QHiFgMRqaokpERER0HhiIwsjXZRboPmYAYDSwu4yIiChSGIjCyB1kCxGE4BpEREREEcSncBgF02UmKwJ6nQ7GAGemERERUfjwKRxGwXSZuWUFBr3ELjMiIqIIYiAKI9/WHYG0EHkUUbMoI28FERFRpPApHEa+rTsCWanaIysw6riPGRERUSTxKRxGchArVXsUAYtJ31RVIiIiovPAQBRGniD2MvPIAtEMRERERBHFQBRGapdZAGOIFCiIMjAQERERRRIDURgF02UmQYLJwNtAREQUSXwSh1GgXWZCCAgBDqgmIiKKMD6Jw8gTYJeZRxEwGCQYAxhzREREROEXdCCaNGkSKioqGhyvrKzEpEmTQqqUVrnlwLrMPLKAgVPuiYiIIi7oJ/GKFStQXV3d4Hh1dTX+9a9/hVQprVLHEJ1ni49HUWDUcVFGIiKiSDME+gabzVYz9kWgoqICZrNZPSfLMv773/8iJSUlrJXUikC37vDIAtFReugD3QyWiIiIwirgQGS1WiFJEiRJQteuXRuclyQJTz31VFgqpzWB7nbvVhREm0xNWSUiIiI6DwEHoi+//BJCCIwYMQLvv/8+kpKS1HMmkwlZWVnIyMgIayW1ItDd7mVFwGLkGkRERESRFnAgGj58OAAgPz8fHTp0gCSxu8cn0C4zAQETAxEREVHEBT2ad9++ffjuu+/U14sXL0a/fv1w22234cyZM2GpnNZ4alqIJABuWYEQ4hfewSn3RERELUHQgejhhx+GzWYDAOzevRvTp0/H9ddfj/z8fEyfPj1sFdQS37T7SqcbZ6pdKLQ5cbK8GqfKq3GyvAoF5Q4UVThQWulCebUbOkgwcYYZERFRxAXcZeaTn5+Pnj17AgDef/993HjjjZgzZw62bduG66+/PmwV1BK5ZmHGKKMeF6cnIMqgg1tRICsCHlnALStwuGW4PAIOjwxrjAFmdpkRERFFXNCByGQyoaqqCgDwv//9D3fccQcAICkpSW05am086jpEOlhMeiRYjOcsrygCOk65JyIiirigA9Hll1+O6dOnY+jQofjhhx/w9ttvAwAOHDiA9u3bh62CWuLby0wvSTifseYMQ0RERC1D0ANYXnzxRRgMBrz33nt4+eWX0a5dOwDA6tWrcd1114Wtglqi7mXGgdJERESaEnQLUYcOHfDpp582OL5gwYKQKqRldXe7ZyQiIiLSjpCmOB0+fBhPPPEEbr31VhQVFQHwthDt2bMnLJXTGt8YIm7FQUREpC1BB6L169ejd+/e2LRpEz744APY7XYAwM6dOzF79uywVVBL3L6FGRmIiIiINCXoQPTYY4/hmWeewdq1a2Gqsx/XiBEjsHHjxrBUTmtqt+7QcQVvIiIiDQk6EO3evRs333xzg+MpKSkoLi4OqVJa5esyM7KFiIiISFOCDkRWqxWnTp1qcHz79u3qjLPWxreXmV7HQdVERERaEnQgGjduHB599FEUFBRAkiQoioLvvvsODz30kLpIY2vjqdNlRkRERNoR9JN7zpw56N69OzIzM2G329GzZ08MGzYMQ4YMwRNPPBHOOmpG7UrV57cwIxEREbUMIW3d8dprr2HWrFnYvXs37HY7+vfvjy5duoSzfpohhFAHVXPaPRERkbYEHYh8MjMzkZmZGY66aJqvdQjwLczIUERERKQVQXWZHTx4EO+//z7y8/MBAP/5z38wbNgwDBo0CM8++yyEEL9whQuPb5VqgGOIiIiItCbgFqJVq1bhd7/7HXQ1a+28+uqruPfee3HllVciPj4eTz75JAwGAx599NGmqG+L5dvHDODCjERERFoTcFPGs88+i0ceeQQOhwMvv/wy7rvvPsydOxerV6/Gp59+isWLF2P58uVhq+CJEydw++23Izk5GRaLBb1798aWLVvU80IIzJo1C+np6bBYLMjNzcXBgwfD9vnny9dCJAHQSeCgaiIiIg0JOBDl5eVh0qRJkCQJEyZMgMvlQm5urnr+2muvxZEjR8JSuTNnzmDo0KEwGo1YvXo19u7di7/97W9ITExUy8yfPx+LFi3CkiVLsGnTJsTExGDkyJFwOBxhqcP58pthxhYiIiIiTQm4y6yyshJxcXEAAJ1OB4vFgujoaPW8xWKB0+kMS+Wee+45ZGZmYtmyZeqx7Oxs9c9CCCxcuBBPPPEERo8eDQD417/+hdTUVHz44YcYN25cWOpxPnxdZhw/REREpD0BP70lSfLbp6v+63D6+OOPMXDgQPz2t79FSkoK+vfvj9dee009n5+fj4KCAr8WqoSEBAwePBgbNmw463WdTidsNpvfT6h8XWbeVarZQkRERKQlAQciIQS6du2KpKQkJCUlqesP+V537949bJX76aef8PLLL6NLly747LPPcP/99+OBBx7AihUrAAAFBQUAgNTUVL/3paamqucaM3fuXCQkJKg/4Vg2oHaVam8Y4hgiIiIi7Qi4y6xu91VTUxQFAwcOxJw5cwAA/fv3x48//oglS5ZgwoQJQV93xowZmD59uvraZrOFHIp8+5gZ9ExCREREWhNwIAoliAQqPT0dPXv29DvWo0cPvP/++wCAtLQ0AEBhYSHS09PVMoWFhejXr99ZrxsVFYWoqKiw1tVTZ5VqSQK7zYiIiDQkLCOA7XZ72MfkAMDQoUORl5fnd+zAgQPIysoC4B1gnZaWhnXr1qnnbTYbNm3ahJycnLDU4XypLUQcVE1ERKQ5QT+98/PzccMNNyAmJgYJCQlITExEYmIirFar37T4UEybNg0bN27EnDlzcOjQIbz55pt49dVXMXnyZADeAd1Tp07FM888g48//hi7d+/GHXfcgYyMDIwZMyYsdThfftPum/WTiYiIKFRB72V2++23QwiBf/7zn0hNTW2SmWaDBg3CqlWrMGPGDDz99NPIzs7GwoULMX78eLXMI488gsrKStxzzz0oKyvD5ZdfjjVr1sBsNoe9PufCQdVERETaJYkgNx6LjY3F1q1b0a1bt3DXqdnZbDYkJCSgvLwc8fHxZy238acSeGSBBIuxwbkNh4sxZ/V+dE2NxawbL8bg7CQY9ew+IyIiairn+/w+H0E/sQcNGoRjx46F9OEXktoWIu9XygYiIiIi7Qi6y2zp0qW47777cOLECfTq1QtGo3+rSZ8+fUKunJbU7TJjGCIiItKWoAPR6dOncfjwYdx5553qMUmSIISAJEmQZTksFdQK3ywzvTqGiLGIiIhIK4IORJMmTUL//v3x1ltvNdmgai2pP6iaiIiItCPoQHTkyBF8/PHH6Ny5czjro1nqXmY10+4Zi4iIiLQj6EHVI0aMwM6dO8NZF02r3e2eUYiIiEhrgm4huvHGGzFt2jTs3r0bvXv3bjCo+qabbgq5clriayEy6HTctoOIiEhjgg5E9913HwDg6aefbnCuVQ6qrrOXGcCFGYmIiLQk6ECk1HQRkZffoGqGISIiIk3hUsphwmn3RERE2hV0C1FjXWV1zZo1K9hLa5LaZabXsbuMiIhIY4IORKtWrfJ77Xa7kZ+fD4PBgIsuuqjVBiLOMiMiItKeoAPR9u3bGxyz2WyYOHEibr755pAqpUW+LjMGIiIiIu0J6xii+Ph4PPXUU5g5c2Y4L6sJ6sKM3MuMiIhIc8I+qLq8vBzl5eXhvmyL57e5KxMRERGRpgTdZbZo0SK/10IInDp1Cq+//jpGjRoVcsW0xrdStV4ncYYZERGRxgQdiBYsWOD3WqfToW3btpgwYQJmzJgRcsW0hl1mRERE2hV0IMrPzw9nPTSvdi8zLu1ERESkNQE/vWVZxq5du1BdXd3gXHV1NXbt2tUqV7HmGCIiIiLtCjgQvf7665g0aRJMJlODc0ajEZMmTcKbb74ZlsppiV+XGQMRERGRpgQciP7xj3/goYcegl6vb3DOYDDgkUcewauvvhqWymlJ3UHVREREpC0BB6K8vDxcdtllZz0/aNAg7Nu3L6RKaZHaZaaXwGHVRERE2hJwIKqsrITNZjvr+YqKClRVVYVUKS1Su8wkBiIiIiKtCTgQdenSBd9///1Zz3/77bfo0qVLSJXSorq73XMMERERkbYEHIhuu+02PPHEE9i1a1eDczt37sSsWbNw2223haVyWsLNXYmIiLQr4HWIpk2bhtWrV2PAgAHIzc1F9+7dAQD79+/H//73PwwdOhTTpk0Le0VbOl8g0ut0bCEiIiLSmIADkdFoxOeff44FCxbgzTffxNdffw0hBLp27Ypnn30WU6dOhdFobIq6tmjc7Z6IiEi7glqp2mg04pFHHsEjjzzyi2Xfeust3HTTTYiJiQnmozTD10Kk03NINRERkdY0+T4T9957LwoLC5v6YyKOK1UTERFpV5MHIiFEU39Ei+DrMtMxDREREWkOdyINA1kRqGkgqmkhYigiIiLSEgaiMJCV2lYwvY5jiIiIiLSGgSgMfPuYAd6tO8BIREREpCkMRGHg27YDqNm6g3mIiIhIU5o8EGVlZV3w6xKpU+4l76BqBiIiIiJtCToQTZgwAV9//fUvlvvxxx+RmZkZ7Mdogq/LzKDzfp3MQ0RERNoSdCAqLy9Hbm4uunTpgjlz5uDEiRPhrJemqDvd6yQIMBARERFpTdCB6MMPP8SJEydw//334+2330bHjh0xatQovPfee3C73eGsY4unLsqo90YhTrsnIiLSlpDGELVt2xbTp0/Hzp07sWnTJnTu3Bm///3vkZGRgWnTpuHgwYPhqmeL5luU0ajToXUsQ0lERHRhCcug6lOnTmHt2rVYu3Yt9Ho9rr/+euzevRs9e/bEggULwvERLVrDFqJI1oaIiIgCFXQgcrvdeP/99/GrX/0KWVlZePfddzF16lScPHkSK1aswP/+9z+88847ePrpp8NZ3xbJF4j03OmeiIhIk4La7R4A0tPToSgKbr31Vvzwww/o169fgzJXXXUVrFZrCNXTBl+XmUGvAwTAtaqJiIi0JehAtGDBAvz2t7+F2Ww+axmr1Yr8/PxgP0IzfC1ERh27zIiIiLQo6C6zm266CVVVVQ2Ol5aWwmazhVQprfGfdi/YPkRERKQxQQeicePGYeXKlQ2Ov/POOxg3blxIldIadWFGfc3CjGwiIiIi0pSgA9GmTZtw1VVXNTh+5ZVXYtOmTSFVSmvkOl1mQrDLjIiISGuCDkROpxMej6fBcbfbjerq6pAqpTVu2X/aPREREWlL0IHo0ksvxauvvtrg+JIlSzBgwICQKqU1vi4zvU7ivh1EREQaFPQss2eeeQa5ubnYuXMnrr76agDAunXrsHnzZnz++edhq6AW+AZV127uylRERESkJUG3EA0dOhQbNmxAZmYm3nnnHXzyySfo3Lkzdu3ahSuuuCKcdWzx1Gn37DIjIiLSpKBbiACgX79+eOONN8JVF83yLcyo10nehRmZi4iIiDQlpECkKAoOHTqEoqIiKDXjaHyGDRsWUsW0pHYvMx3DEBERkQYFHYg2btyI2267DUeOHIEQ/nu8S5IEWZZDrpxW+KbdG2oWZiQiIiJtCToQ3XfffRg4cCD+85//ID09vVUvRuj27WXGzV2JiIg0KehAdPDgQbz33nvo3LlzOOujSXW7zCAkdpsRERFpTNCzzAYPHoxDhw6Fsy6a5WELERERkaYF3UL0pz/9CX/+859RUFCA3r17w2g0+p3v06dPyJXTitpp9zouzEhERKRBQQeisWPHAgAmTZqkHpMkCUKIVjeo2heI9DUtRK15PBUREZEWBR2I8vPzw1kPTavbZcYsREREpD1BB6KsrKxw1kPT5DqDqoUQ7DUjIiLSmKAHVQPA66+/jqFDhyIjIwNHjhwBACxcuBAfffRRWCqnFepu9zqJ+5gRERFpUNCB6OWXX8b06dNx/fXXo6ysTB0zZLVasXDhwnDVTxN8u90b9BIEuHUHERGR1gQdiF544QW89tprePzxx6HX69XjAwcOxO7du8NSOa2ov9s9ERERaUvQT/D8/Hz079+/wfGoqChUVlaGVKmzmTdvHiRJwtSpU9VjDocDkydPRnJyMmJjYzF27FgUFhY2yeefjczd7omIiDQt6ECUnZ2NHTt2NDi+Zs0a9OjRI5Q6NWrz5s145ZVXGqxvNG3aNHzyySd49913sX79epw8eRK//vWvw/755+KuP+2e44iIiIg0JehZZtOnT8fkyZPhcDgghMAPP/yAt956C3PnzsXSpUvDWUfY7XaMHz8er732Gp555hn1eHl5Of7xj3/gzTffxIgRIwAAy5YtQ48ePbBx40ZcdtllYa3H2dROu9cxChEREWlQ0IHoD3/4AywWC5544glUVVXhtttuQ0ZGBv7+979j3Lhx4awjJk+ejBtuuAG5ubl+gWjr1q1wu93Izc1Vj3Xv3h0dOnTAhg0bzhqInE4nnE6n+tpms4VUv9pp976FGUO6HBERETWzoAMRAIwfPx7jx49HVVUV7HY7UlJSwlUv1cqVK7Ft2zZs3ry5wbmCggKYTCZYrVa/46mpqSgoKDjrNefOnYunnnoqbHX0dZlxLzMiIiJtCsu0qOjo6CYJQ8eOHcODDz6IN954A2azOWzXnTFjBsrLy9WfY8eOhXQ9tctMrwPAhRmJiIi0JqAWoksuuQTr1q1DYmIi+vfvf849u7Zt2xZy5bZu3YqioiJccskl6jFZlvH111/jxRdfxGeffQaXy4WysjK/VqLCwkKkpaWd9bpRUVGIiooKuX4+Hr8WIsYhIiIirQkoEI0ePVoNEmPGjGmK+vi5+uqrG6xpdOedd6J79+549NFHkZmZCaPRiHXr1qmbzebl5eHo0aPIyclp8vr5yHLttHsBMBMRERFpTECBaPbs2Y3+uanExcWhV69efsdiYmKQnJysHr/rrrswffp0JCUlIT4+Hn/605+Qk5PTbDPMAMBds1K1ngszEhERaVLQg6o3b94MRVEwePBgv+ObNm2CXq/HwIEDQ67c+ViwYAF0Oh3Gjh0Lp9OJkSNH4qWXXmqWz/bxyBxUTUREpGVBN2lMnjy50cHIJ06cwOTJk0Oq1Ll89dVXfnulmc1mLF68GKWlpaisrMQHH3xwzvFDTaHBtHv2mREREWlK0IFo7969foOdffr374+9e/eGVCmtUTd31ekAISJcGyIiIgpU0IEoKiqq0T3DTp06BYMhpOWNNEVWBGoaiNQuMy7MSEREpC1BB6Jrr71WXc/Hp6ysDP/v//0/XHPNNWGpnBb4WocAb5fZuZYiICIiopYp6Kacv/71rxg2bBiysrLUXe937NiB1NRUvP7662GrYEvnGz8EeLvMBDjrnoiISGuCDkTt2rXDrl278MYbb2Dnzp2wWCy48847ceutt8JoNIazji2aW64NRHodh1MTERFpUUiDfWJiYnDPPfeEqy6a5Nu2Qyd5A5EQYLcZERGRxgQUiD7++GOMGjUKRqMRH3/88TnL3nTTTSFVTCtqp9xzUUYiIiKtCigQjRkzBgUFBUhJSTnn1h2SJEGW5VDrpgmeejvds3GIiIhIewIKREqdGVV1/9yauX073eskiJo1iJiJiIiItCWgfp6kpCQUFxcDACZNmoSKioomqZSWeOp1mXFYNRERkfYEFIhcLhdsNhsAYMWKFXA4HE1SKS2R63SZ+eabsduMiIhIWwLqMsvJycGYMWMwYMAACCHwwAMPwGKxNFr2n//8Z1gq2NLV7TIDGIaIiIi0KKBA9O9//xsLFizA4cOHAQDl5eWtvpWobpeZbxszdpsRERFpS0CBKDU1FfPmzQMAZGdn4/XXX0dycnKTVEwrZNl/p3siIiLSnqAHVV911VUwmUxNUiktqd3pvk4gYjYiIiLSFA6qDpFv6w6DjgszEhERaRUHVYeodgxRTbMQW4eIiIg0J+hB1ZIkcVA1AFlpZGFGhiIiIiJN4aDqENXvMmMYIiIi0p6AB75cf/31KC8vR35+PpKTkzFv3jyUlZWp50tKStCzZ89w1rFFq9tlpi7MGLnqEBERURACDkRr1qyB0+lUX8+ZMwelpaXqa4/Hg7y8vPDUTgNqu8x8W3cQERGR1oQ8Nco3bqa18sj+u90DgMR+MyIiIk3hXPEQuevNMmMUIiIi0p6AA5EkSQ1aQFpzi4jHt5eZ39YdREREpCUBzTIDvF1kEydORFRUFADA4XDgvvvuQ0xMDAD4jS9qDerudk9ERETaFHAgmjBhgt/r22+/vUGZO+64I/gaaYy73hgibuxKRESkPQEHomXLljVFPTRL3ctMr4MAF2YkIiLSIg6qDlGDLjOGISIiIs1hIApR3Wn3tYOqmYqIiIi0hIEoRG61y4zT7omIiLSKgShEtV1mtV8lxxARERFpCwNRiNQuMz3HEBEREWkVA1GI3L6FGeuMISIiIiJtYSAKUe1u9/wqiYiItIpP8RDVn3bPGWZERETaw0AUIk/dLjMuzEhERKRJDEQhctfrMmMYIiIi0h4GohA1trkru82IiIi0hYEoRHW7zADOuiciItIiBqIQ1Z1lpm7dwVRERESkKQxEIXLL9Td3ZRoiIiLSGgaiEMl19jLzrcvISERERKQtDEQhqt3tnl8lERGRVvEpHqLaMUQcVE1ERKRVDEQh8vi6zHQ6QB1UzVhERESkJQxEIRBC1OkyYwsRERGRVjEQhUARaqNQzaDqmq07IlclIiIiCgIDUQjcNYsyArWDqrlKNRERkfYwEIXAt20HUNNCxIUZiYiINImBKASeOoFIry7MGKHKEBERUdAYiELg28dMr5Ogk+oszMgmIiIiIk1hIAqBr4VIr2MAIiIi0jIGohD4ptwb6wQiNg4RERFpDwNRCNRFGfX8GomIiLSMT/IQNNjpHhxTTUREpEUMRCGQ640hEkKwy4yIiEiDGIhC4OsyM9bpMuMMMyIiIu1hIApB/X3MxLkKExERUYvFQBQCddq9nmOIiIiItIyBKARql1nNPmZsIiIiItImBqIQqF1meq5DREREpGUMRCHw7XZv4MKMREREmsZAFILaaffer1EAkDiKiIiISHNafCCaO3cuBg0ahLi4OKSkpGDMmDHIy8vzK+NwODB58mQkJycjNjYWY8eORWFhYZPXzTeo2ug3qJqBiIiISGtafCBav349Jk+ejI0bN2Lt2rVwu9249tprUVlZqZaZNm0aPvnkE7z77rtYv349Tp48iV//+tdNXjdPvS4zLsxIRESkTYZIV+CXrFmzxu/18uXLkZKSgq1bt2LYsGEoLy/HP/7xD7z55psYMWIEAGDZsmXo0aMHNm7ciMsuu6zJ6uap12VGRERE2qS5J3l5eTkAICkpCQCwdetWuN1u5ObmqmW6d++ODh06YMOGDY1ew+l0wmaz+f0EwxeI6s4yIyIiIu3RVCBSFAVTp07F0KFD0atXLwBAQUEBTCYTrFarX9nU1FQUFBQ0ep25c+ciISFB/cnMzAyqPr4uMyNnmREREWmapgLR5MmT8eOPP2LlypUhXWfGjBkoLy9Xf44dOxbUddxqC1HtLDMiIiLSnhY/hshnypQp+PTTT/H111+jffv26vG0tDS4XC6UlZX5tRIVFhYiLS2t0WtFRUUhKioq5DrJsv9u9wC37iAiItKiFt9CJITAlClTsGrVKnzxxRfIzs72Oz9gwAAYjUasW7dOPZaXl4ejR48iJyenSetWu9s9u8yIiIi0rMW3EE2ePBlvvvkmPvroI8TFxanjghISEmCxWJCQkIC77roL06dPR1JSEuLj4/GnP/0JOTk5TTrDDKi7231Nl5kAJCYiIiIizWnxgejll18GAFx55ZV+x5ctW4aJEycCABYsWACdToexY8fC6XRi5MiReOmll5q8brXT7tllRkREpGUtPhAJ8ctDlc1mMxYvXozFixc3Q41q+brMfNPuRc3mHURERKQtLX4MUUvm6zIz1lmYkT1mRERE2sNAFAJ3/S4zzrsnIiLSJAaiEMj1uswAQMcWIiIiIs1hIApB/S4zNhARERFpEwNRCBrby4wNRERERNrDQBQC315mftPuOaqaiIhIcxiIQuBpZC8z5iEiIiLtYSAKQe0YIqYgIiIiLWMgCoFvYca60+4ljiIiIiLSHAaiENTvMgPYZUZERKRFDEQhqN9lJjjxnoiISJMYiEJQu5dZnRaiSFWGiIiIgsZAFIL6u90LwWn3REREWsRAFAJfl5nfwozMQ0RERJrDQBQCX5eZb+sOhiEiIiJtYiAKga+FSO0yA6fdExERaREDUZCEEI3uZUZERETaw0AUJFmpnWLv6zKDYLcZERGRFjEQBclTJxCxhYiIiEjbGIiCVDcQqVt3SFyYkYiISIsYiILkkRX1zwZu7kpERKRpDERBUgdU66TaxRgFgxEREZEWMRAFqf4q1T4cVE1ERKQ9DERB8nWZcZVqIiIi7WMgClLtTve1X6EA9zIjIiLSIgaiIDXWZcYsREREpE0MREHy7WNWt8tMCMGNO4iIiDSIgShI6k73On6FREREWseneZB8XWZGv1Wq2T5ERESkRQxEQfJ1mXHaPRERkfYxEAWJXWZEREQXDj7Ng6SuVF1vY1eJ3WZERESaw0AUJHVhxrrT7iNVGSIiIgoJA1GQaluI/L9CjiEiIiLSHgaiINWOIWICIiIi0joGoiDVLsxY9yvkwoxERERaxEAUJLXLjC1EREREmsdAFKTGuszYPkRERKRNDERBarzLDJxqRkREpEEMREHioGoiIqILBwNRkM42hogLMxIREWkPA1GQ1IUZ63SZMQoRERFpEwNRkBrbukMIwYUZiYiINIiBKEicdk9ERHThYCAKUu1eZnW+QokjiIiIiLSIgShIZ9vtnoiIiLSHgShIje12DxGhyhAREVFIGIiCVDuGqP5u92wxIiIi0hoGoiA11mXGLERERKRNDERBqt9lJoQ3IDETERERaQ8DUZBqW4jqLszIOERERKRFDERBqr+XmW88NbvNiIiItIeBKEi1u90zAREREWkdA1GQaluIvF+hEGwdIiIi0ioGoiBxt3siIqILBwNRkNhlRkREdOFgIApS/S4zFfMRERGR5jAQBUlurMuMYYiIiEiTGIiC5K7XZaYuzMhQREREpDkMREFSu8zqLszIMERERKRJDERBqj/LTF2YMUL1ISIiouAxEAVBCNH4GCIiIiLSJAaiIPhah4D6e5kRERGRFl0wgWjx4sXo2LEjzGYzBg8ejB9++KHJPss3fghoZGFGDiQiIiLSnAsiEL399tuYPn06Zs+ejW3btqFv374YOXIkioqKmuTzZKXxQMQoREREpE0XRCB6/vnncffdd+POO+9Ez549sWTJEkRHR+Of//xnk3yeb8o9AOh9g6prMhJDERERkfYYIl2BULlcLmzduhUzZsxQj+l0OuTm5mLDhg2NvsfpdMLpdKqvy8vLAQA2m+2cn1VZUQGPIuDyKFCcVTDoJFTaK7z18CiocnpgsxkhR2n+ayUiImrxfM9t31qAodD8k7u4uBiyLCM1NdXveGpqKvbv39/oe+bOnYunnnqqwfHMzMyAP3/I8wG/hYiIiMKopKQECQkJIV1D84EoGDNmzMD06dPV12VlZcjKysLRo0dD/kIpNDabDZmZmTh27Bji4+MjXZ1Wjfei5eC9aFl4P1qO8vJydOjQAUlJSSFfS/OBqE2bNtDr9SgsLPQ7XlhYiLS0tEbfExUVhaioqAbHExIS+B93CxEfH8970ULwXrQcvBctC+9Hy6Grv9F6MNcIQz0iymQyYcCAAVi3bp16TFEUrFu3Djk5ORGsGREREWmF5luIAGD69OmYMGECBg4ciEsvvRQLFy5EZWUl7rzzzkhXjYiIiDTggghEt9xyC06fPo1Zs2ahoKAA/fr1w5o1axoMtD6bqKgozJ49u9FuNGpevBctB+9Fy8F70bLwfrQc4bwXkgjHXDUiIiIiDdP8GCIiIiKiUDEQERERUavHQEREREStHgMRERERtXqtPhAtXrwYHTt2hNlsxuDBg/HDDz9Eukqtwtdff40bb7wRGRkZkCQJH374od95IQRmzZqF9PR0WCwW5Obm4uDBg5Gp7AVs7ty5GDRoEOLi4pCSkoIxY8YgLy/Pr4zD4cDkyZORnJyM2NhYjB07tsFCqBQeL7/8Mvr06aMu+JeTk4PVq1er53kvImfevHmQJAlTp05Vj/F+NI8nn3wSkiT5/XTv3l09H6770KoD0dtvv43p06dj9uzZ2LZtG/r27YuRI0eiqKgo0lW74FVWVqJv375YvHhxo+fnz5+PRYsWYcmSJdi0aRNiYmIwcuRIOByOZq7phW39+vWYPHkyNm7ciLVr18LtduPaa69FZWWlWmbatGn45JNP8O6772L9+vU4efIkfv3rX0ew1heu9u3bY968edi6dSu2bNmCESNGYPTo0dizZw8A3otI2bx5M1555RX06dPH7zjvR/O5+OKLcerUKfXn22+/Vc+F7T6IVuzSSy8VkydPVl/LsiwyMjLE3LlzI1ir1geAWLVqlfpaURSRlpYm/u///k89VlZWJqKiosRbb70VgRq2HkVFRQKAWL9+vRDC+70bjUbx7rvvqmX27dsnAIgNGzZEqpqtSmJioli6dCnvRYRUVFSILl26iLVr14rhw4eLBx98UAjB/280p9mzZ4u+ffs2ei6c96HVthC5XC5s3boVubm56jGdTofc3Fxs2LAhgjWj/Px8FBQU+N2bhIQEDB48mPemiZWXlwOAulHi1q1b4Xa7/e5F9+7d0aFDB96LJibLMlauXInKykrk5OTwXkTI5MmTccMNN/h97wD/v9HcDh48iIyMDHTq1Anjx4/H0aNHAYT3PlwQK1UHo7i4GLIsN1jNOjU1Ffv3749QrQgACgoKAKDRe+M7R+GnKAqmTp2KoUOHolevXgC898JkMsFqtfqV5b1oOrt370ZOTg4cDgdiY2OxatUq9OzZEzt27OC9aGYrV67Etm3bsHnz5gbn+P+N5jN48GAsX74c3bp1w6lTp/DUU0/hiiuuwI8//hjW+9BqAxER+Zs8eTJ+/PFHv755an7dunXDjh07UF5ejvfeew8TJkzA+vXrI12tVufYsWN48MEHsXbtWpjN5khXp1UbNWqU+uc+ffpg8ODByMrKwjvvvAOLxRK2z2m1XWZt2rSBXq9vMBK9sLAQaWlpEaoVAVC/f96b5jNlyhR8+umn+PLLL9G+fXv1eFpaGlwuF8rKyvzK8140HZPJhM6dO2PAgAGYO3cu+vbti7///e+8F81s69atKCoqwiWXXAKDwQCDwYD169dj0aJFMBgMSE1N5f2IEKvViq5du+LQoUNh/f9Fqw1EJpMJAwYMwLp169RjiqJg3bp1yMnJiWDNKDs7G2lpaX73xmazYdOmTbw3YSaEwJQpU7Bq1Sp88cUXyM7O9js/YMAAGI1Gv3uRl5eHo0eP8l40E0VR4HQ6eS+a2dVXX43du3djx44d6s/AgQMxfvx49c+8H5Fht9tx+PBhpKenh/f/FyEM/Na8lStXiqioKLF8+XKxd+9ecc899wir1SoKCgoiXbULXkVFhdi+fbvYvn27ACCef/55sX37dnHkyBEhhBDz5s0TVqtVfPTRR2LXrl1i9OjRIjs7W1RXV0e45heW+++/XyQkJIivvvpKnDp1Sv2pqqpSy9x3332iQ4cO4osvvhBbtmwROTk5IicnJ4K1vnA99thjYv369SI/P1/s2rVLPPbYY0KSJPH5558LIXgvIq3uLDMheD+ay5///Gfx1Vdfifz8fPHdd9+J3Nxc0aZNG1FUVCSECN99aNWBSAghXnjhBdGhQwdhMpnEpZdeKjZu3BjpKrUKX375pQDQ4GfChAlCCO/U+5kzZ4rU1FQRFRUlrr76apGXlxfZSl+AGrsHAMSyZcvUMtXV1eKPf/yjSExMFNHR0eLmm28Wp06dilylL2CTJk0SWVlZwmQyibZt24qrr75aDUNC8F5EWv1AxPvRPG655RaRnp4uTCaTaNeunbjlllvEoUOH1PPhug+SEEKEoQWLiIiISLNa7RgiIiIiIh8GIiIiImr1GIiIiIio1WMgIiIiolaPgYiIiIhaPQYiIiIiavUYiIiIiKjVYyAiIiKiVo+BiIjoPEiShA8//DDS1SCiJsJARNSKTJw4EZIkYd68eX7HP/zwQ0iSFKFaeUmS1OjPypUrI1ovn1OnTmHUqFGRrgaWL18Oq9Ua6WoQXXAYiIhaGbPZjOeeew5nzpyJdFUaWLZsGU6dOuX3M2bMmIjWyeVyAQDS0tIQFRUV0boQUdNhICJqZXJzc5GWloa5c+c2ev7JJ59Ev379/I4tXLgQHTt2VF9PnDgRY8aMwZw5c5Camgqr1Yqnn34aHo8HDz/8MJKSktC+fXssW7YsoLpZrVakpaX5/ZjNZgDApEmT0KdPHzidTgDeoNK/f3/ccccdAICff/5ZbVEaMmQIzGYzevXqhfXr1/t9xo8//ohRo0YhNjYWqamp+P3vf4/i4mL1/JVXXokpU6Zg6tSpaNOmDUaOHAnAv8vM91nvvPMOrrjiClgsFgwaNAgHDhzA5s2bMXDgQMTGxmLUqFE4ffq03+cvXboUPXr0gNlsRvfu3fHSSy+p53zX/eCDD3DVVVchOjoaffv2xYYNGwAAX331Fe68806Ul5erLWhPPvkkAOCll15Cly5dYDabkZqait/85jcBffdErR0DEVEro9frMWfOHLzwwgs4fvx40Nf54osvcPLkSXz99dd4/vnnMXv2bPzqV79CYmIiNm3ahPvuuw/33ntvSJ9R16JFi1BZWYnHHnsMAPD444+jrKwML774ol+5hx9+GH/+85+xfft25OTk4MYbb0RJSQkAoKysDCNGjED//v2xZcsWrFmzBoWFhfjd737nd40VK1bAZDLhu+++w5IlS85ap9mzZ+OJJ57Atm3bYDAYcNttt+GRRx7B3//+d3zzzTc4dOgQZs2apZZ/4403MGvWLDz77LPYt28f5syZg5kzZ2LFihV+13388cfx0EMPYceOHejatStuvfVWeDweDBkyBAsXLkR8fLzagvbQQw9hy5YteOCBB/D0008jLy8Pa9aswbBhw0L6volaHUFErcaECRPE6NGjhRBCXHbZZWLSpElCCCFWrVolfH8dzJ49W/Tt29fvfQsWLBBZWVl+18nKyhKyLKvHunXrJq644gr1tcfjETExMeKtt946r7oBEGazWcTExPj9HDlyRC3z/fffC6PRKGbOnCkMBoP45ptv1HP5+fkCgJg3b556zO12i/bt24vnnntOCCHEX/7yF3Httdf6fe6xY8cEAJGXlyeEEGL48OGif//+jdZv1apVfp+1dOlS9fxbb70lAIh169apx+bOnSu6deumvr7ooovEm2++6Xfdv/zlLyInJ+es192zZ48AIPbt2yeEEGLZsmUiISHB7xrvv/++iI+PFzabrUG9iej8GCKWxIgoop577jmMGDECDz30UFDvv/jii6HT1TYyp6amolevXuprvV6P5ORkFBUVnfc1FyxYgNzcXL9jGRkZ6p9zcnLw0EMP4S9/+QseffRRXH755Q2ukZOTo/7ZYDBg4MCB2LdvHwBg586d+PLLLxEbG9vgfYcPH0bXrl0BAAMGDDiv+vbp00f9c2pqKgCgd+/efsd8v39lZSUOHz6Mu+66C3fffbdaxuPxICEh4azXTU9PBwAUFRWhe/fujdbjmmuuQVZWFjp16oTrrrsO1113HW6++WZER0ef1+9BRAADEVErNWzYMIwcORIzZszAxIkT1eM6nQ5CCL+ybre7wfuNRqPfa0mSGj2mKMp51yktLQ2dO3c+63lFUfDdd99Br9fj0KFD531dH7vdjhtvvBHPPfdcg3O+4AEAMTEx53W9ur+vb5Ze/WO+399utwMAXnvtNQwePNjvOnq9/heve67vMS4uDtu2bcNXX32Fzz//HLNmzcKTTz6JzZs3c0Ya0XniGCKiVmzevHn45JNP1EG7ANC2bVsUFBT4haIdO3ZEoHYN/d///R/279+P9evXY82aNY0O2t64caP6Z4/Hg61bt6JHjx4AgEsuuQR79uxBx44d0blzZ7+f8w1BwUpNTUVGRgZ++umnBp+dnZ193tcxmUyQZbnBcYPBgNzcXMyfPx+7du3Czz//jC+++CKcvwLRBY0tREStWO/evTF+/HgsWrRIPXbllVfi9OnTmD9/Pn7zm99gzZo1WL16NeLj45u8PmVlZSgoKPA7FhcXh5iYGGzfvh2zZs3Ce++9h6FDh+L555/Hgw8+iOHDh6NTp05q+cWLF6NLly7o0aMHFixYgDNnzmDSpEkAgMmTJ+O1117DrbfeikceeQRJSUk4dOgQVq5ciaVLlzZoqQm3p556Cg888AASEhJw3XXXwel0YsuWLThz5gymT59+Xtfo2LEj7HY71q1bh759+yI6OhpffPEFfvrpJwwbNgyJiYn473//C0VR0K1btyb9fYguJGwhImrlnn76ab/umB49euCll17C4sWL0bdvX/zwww9BjzMK1J133on09HS/nxdeeAEOhwO33347Jk6ciBtvvBEAcM899+Cqq67C73//e78Wk3nz5mHevHno27cvvv32W3z88cdo06YNAO94pO+++w6yLOPaa69F7969MXXqVFitVr/xUE3lD3/4A5YuXYply5ahd+/eGD58OJYvXx5QC9GQIUNw33334ZZbbkHbtm0xf/58WK1WfPDBBxgxYgR69OiBJUuW4K233sLFF1/chL8N0YVFEvUHCxARadDPP/+M7OxsbN++vcE6SkREv4QtRERERNTqMRARUZObM2cOYmNjG/1pCfuDERGxy4yImlxpaSlKS0sbPWexWNCuXbtmrhERkT8GIiIiImr12GVGRERErR4DEREREbV6DERERETU6jEQERERUavHQEREREStHgMRERERtXoMRERERNTq/X+x2T6L9PsrvQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lineplot(\n",
+    "    data=results,\n",
+    "    x=\"Num_Experiments\",\n",
+    "    y=\"Efficiency_CumBest\",\n",
+    "    hue=\"Scenario\",\n",
+    "    marker=\"x\",\n",
+    ")\n",
+    "\n",
+    "plt.xlim(0, N_DOE_ITERATIONS)\n",
+    "plt.ylim(0, 100)\n",
+    "\n",
+    "plt.savefig(\"Scenarios\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Evalute best results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['Scenario', 'Random_Seed', 'Iteration', 'Num_Experiments',\n",
+      "       'Efficiency_Measurements', 'Efficiency_IterBest', 'Efficiency_CumBest'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(results.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Use transfer learning on other metals"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Define the training function (i.e. the previously investigated larger data set) and the yet to be optimized data sets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.parameters import TaskParameter\n",
+    "\n",
+    "taskparam = TaskParameter(\n",
+    "    name=\"Al_alloys\",\n",
+    "    values=[\"AA1000\", \"AA2024\"],\n",
+    "    active_values=[\"AA2024\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "unique_SMILES_transfer = df_transfer[\"SMILES\"].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from baybe.parameters import NumericalContinuousParameter, CategoricalParameter, NumericalDiscreteParameter\n",
+    "from baybe.searchspace import SearchSpace\n",
+    "\n",
+    "transfer_parameters=[\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Time_h\",\n",
+    "    values=df_combined[\"Time_h\"].unique(),\n",
+    "    tolerance=5/60,\n",
+    "),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"pH\",\n",
+    "    values=df_combined[\"pH\"].unique(),\n",
+    "    ),  \n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Inhib_Concentrat_M\",\n",
+    "    values=df_combined[\"Inhib_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Salt_Concentrat_M\",\n",
+    "    values=df_combined[\"Salt_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "CategoricalParameter(\n",
+    "    name=\"SMILES\",\n",
+    "    values=unique_SMILES,\n",
+    "    encoding=\"OHE\",\n",
+    "    )\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "searchspace_transfer = SearchSpace.from_dataframe(df_transfer.drop(\"Efficiency\", axis = 1), transfer_parameters)\n",
+    "\n",
+    "campaign_transfer = Campaign(searchspace_transfer, objective)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_features = df.drop(\"Efficiency\", axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/1 [00:00<?, ?it/s]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|##########| 1/1 [00:06<00:00,  6.61s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "results_transfer: list[pd.DataFrame] = []\n",
+    "fractions = (0.01, 0.2)\n",
+    "\n",
+    "\n",
+    "result_fresh_start = simulate_scenarios(\n",
+    "    {\"Fresh\": campaign_transfer},\n",
+    "    df_transfer,\n",
+    "    batch_size=BATCH_SIZE,\n",
+    "    n_doe_iterations=N_DOE_ITERATIONS,\n",
+    "    n_mc_iterations=N_MC_ITERATIONS,\n",
+    "    impute_mode=\"best\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/10 [00:00<?, ?it/s]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 10%|#         | 1/10 [00:25<03:51, 25.67s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 20%|##        | 2/10 [00:50<03:23, 25.49s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 30%|###       | 3/10 [01:18<03:02, 26.13s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 40%|####      | 4/10 [01:43<02:34, 25.77s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 50%|#####     | 5/10 [02:08<02:08, 25.61s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 60%|######    | 6/10 [02:32<01:41, 25.44s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 70%|#######   | 7/10 [02:57<01:16, 25.40s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 80%|########  | 8/10 [03:23<00:50, 25.39s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      " 90%|######### | 9/10 [03:48<00:25, 25.36s/it]Input row with index 350 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 304 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 256 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 167 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 339 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 317 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 181 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 345 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 24 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 399 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 180 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 443 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 67 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 173 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 380 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 95 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 47 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 335 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 315 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 273 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 15 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 27 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 460 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 12 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 213 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 278 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 512 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 240 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 432 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 445 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 114 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 34 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 223 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 69 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 383 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 125 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 503 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 13 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 302 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 279 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 218 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 9 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 11 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 323 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 244 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 136 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 71 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 96 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 3 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 405 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 106 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 219 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 49 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 100 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 468 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 319 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 210 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 391 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 406 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 157 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 417 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 229 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 83 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 91 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 455 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 374 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 89 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 411 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 195 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 248 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 102 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 430 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 23 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 482 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 408 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 500 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 332 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 46 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 17 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 505 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 209 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 176 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 56 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 387 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 22 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 320 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 480 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 419 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 151 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 465 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 509 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 226 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 303 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 70 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 414 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 404 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 487 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 117 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 77 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 259 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 25 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 120 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 115 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 272 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 199 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 400 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 428 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 19 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 217 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 439 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 312 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 161 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 175 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 266 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 485 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 33 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 247 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 447 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 294 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 30 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 170 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 147 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 65 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 32 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 416 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 37 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 454 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 140 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 108 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 2 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 202 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 394 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 477 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 225 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 437 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 451 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 292 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 14 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 187 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 40 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 204 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 305 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 174 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 269 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 126 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 72 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 239 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 495 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 449 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 333 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 4 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 435 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 241 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 415 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 368 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 93 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 381 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 338 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 28 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 351 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 507 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 288 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 211 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 277 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 376 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 75 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 8 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 386 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 340 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 474 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 489 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 236 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 506 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 366 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 166 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 452 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 486 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 499 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 352 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 431 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 105 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 324 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 123 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 421 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 99 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 121 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 198 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 124 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 200 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 129 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 154 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 393 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 148 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 398 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 357 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 492 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 479 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 344 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 82 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 307 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 107 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 135 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 263 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 20 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 35 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 227 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 92 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 45 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 0 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 94 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 169 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 233 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 164 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 377 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 418 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 444 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 407 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 104 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 152 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 191 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 172 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 116 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 371 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 346 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 196 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 513 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 7 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 301 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 53 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 205 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 237 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 127 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 401 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 112 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 134 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 502 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 403 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 504 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 76 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 342 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 141 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 336 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 62 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 5 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 322 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 177 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 276 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 171 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 133 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 254 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 281 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 222 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 434 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 243 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 128 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 438 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 119 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "Input row with index 59 could not be matched to the search space. This could indicate that something went wrong.\n",
+      "100%|##########| 10/10 [04:13<00:00, 25.35s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "fraction_df = df.sample(frac=0.5)\n",
+    "training_lookup = [fraction_df for _ in range(N_MC_ITERATIONS)]\n",
+    "\n",
+    "result_transfer_learning = simulate_scenarios(\n",
+    "    {\"Transfer\": campaign_transfer},\n",
+    "    df_transfer,\n",
+    "    initial_data=training_lookup,\n",
+    "    batch_size=BATCH_SIZE,\n",
+    "    n_doe_iterations=N_DOE_ITERATIONS,\n",
+    "    impute_mode=\"best\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "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></th>\n",
+       "      <th>Time_h</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>Inhib_Concentrat_M</th>\n",
+       "      <th>Salt_Concentrat_M</th>\n",
+       "      <th>Efficiency</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>258.000000</td>\n",
+       "      <td>258.000000</td>\n",
+       "      <td>258.000000</td>\n",
+       "      <td>258.000000</td>\n",
+       "      <td>258.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>161.091085</td>\n",
+       "      <td>6.579845</td>\n",
+       "      <td>0.008103</td>\n",
+       "      <td>0.127403</td>\n",
+       "      <td>38.761628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>214.536317</td>\n",
+       "      <td>2.241608</td>\n",
+       "      <td>0.014335</td>\n",
+       "      <td>0.177444</td>\n",
+       "      <td>158.903313</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000010</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-1760.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>0.001000</td>\n",
+       "      <td>0.050000</td>\n",
+       "      <td>30.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>0.001000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>57.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>240.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>0.010000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>87.825000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>672.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.600000</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Time_h          pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+       "count  258.000000  258.000000          258.000000         258.000000   \n",
+       "mean   161.091085    6.579845            0.008103           0.127403   \n",
+       "std    214.536317    2.241608            0.014335           0.177444   \n",
+       "min      0.500000    0.000000            0.000010           0.000000   \n",
+       "25%     24.000000    5.400000            0.001000           0.050000   \n",
+       "50%     24.000000    7.000000            0.001000           0.100000   \n",
+       "75%    240.000000    7.000000            0.010000           0.100000   \n",
+       "max    672.000000   10.000000            0.100000           0.600000   \n",
+       "\n",
+       "        Efficiency  \n",
+       "count   258.000000  \n",
+       "mean     38.761628  \n",
+       "std     158.903313  \n",
+       "min   -1760.000000  \n",
+       "25%      30.000000  \n",
+       "50%      57.500000  \n",
+       "75%      87.825000  \n",
+       "max     100.000000  "
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fraction_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "No objects to concatenate",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[65], line 7\u001b[0m\n\u001b[1;32m      4\u001b[0m     df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mFraction\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fractions[i]\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# Concatenate the dataframes into a single dataframe\u001b[39;00m\n\u001b[0;32m----> 7\u001b[0m concatenated_df \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconcat\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults_transfer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mignore_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# Print the concatenated dataframe\u001b[39;00m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28mprint\u001b[39m(concatenated_df)\n",
+      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/concat.py:382\u001b[0m, in \u001b[0;36mconcat\u001b[0;34m(objs, axis, join, ignore_index, keys, levels, names, verify_integrity, sort, copy)\u001b[0m\n\u001b[1;32m    379\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m copy \u001b[38;5;129;01mand\u001b[39;00m using_copy_on_write():\n\u001b[1;32m    380\u001b[0m     copy \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 382\u001b[0m op \u001b[38;5;241m=\u001b[39m \u001b[43m_Concatenator\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    383\u001b[0m \u001b[43m    \u001b[49m\u001b[43mobjs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    384\u001b[0m \u001b[43m    \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    385\u001b[0m \u001b[43m    \u001b[49m\u001b[43mignore_index\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mignore_index\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    386\u001b[0m \u001b[43m    \u001b[49m\u001b[43mjoin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    387\u001b[0m \u001b[43m    \u001b[49m\u001b[43mkeys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    388\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlevels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlevels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    389\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnames\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnames\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    390\u001b[0m \u001b[43m    \u001b[49m\u001b[43mverify_integrity\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mverify_integrity\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    391\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    392\u001b[0m \u001b[43m    \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    393\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    395\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m op\u001b[38;5;241m.\u001b[39mget_result()\n",
+      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/concat.py:445\u001b[0m, in \u001b[0;36m_Concatenator.__init__\u001b[0;34m(self, objs, axis, join, keys, levels, names, ignore_index, verify_integrity, copy, sort)\u001b[0m\n\u001b[1;32m    442\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mverify_integrity \u001b[38;5;241m=\u001b[39m verify_integrity\n\u001b[1;32m    443\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcopy \u001b[38;5;241m=\u001b[39m copy\n\u001b[0;32m--> 445\u001b[0m objs, keys \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_clean_keys_and_objs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobjs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    447\u001b[0m \u001b[38;5;66;03m# figure out what our result ndim is going to be\u001b[39;00m\n\u001b[1;32m    448\u001b[0m ndims \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_ndims(objs)\n",
+      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/reshape/concat.py:507\u001b[0m, in \u001b[0;36m_Concatenator._clean_keys_and_objs\u001b[0;34m(self, objs, keys)\u001b[0m\n\u001b[1;32m    504\u001b[0m     objs_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(objs)\n\u001b[1;32m    506\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(objs_list) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 507\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo objects to concatenate\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    509\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m keys \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    510\u001b[0m     objs_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(com\u001b[38;5;241m.\u001b[39mnot_none(\u001b[38;5;241m*\u001b[39mobjs_list))\n",
+      "\u001b[0;31mValueError\u001b[0m: No objects to concatenate"
+     ]
+    }
+   ],
+   "source": [
+    "# Add an additional column to each dataframe\n",
+    "fractions = (0.01, 0.2)\n",
+    "for i, df in enumerate(results_transfer):\n",
+    "    df['Fraction'] = fractions[i]\n",
+    "\n",
+    "# Concatenate the dataframes into a single dataframe\n",
+    "concatenated_df = pd.concat(results_transfer, ignore_index=True)\n",
+    "\n",
+    "# Print the concatenated dataframe\n",
+    "print(concatenated_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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></th>\n",
+       "      <th>Random_Seed</th>\n",
+       "      <th>Iteration</th>\n",
+       "      <th>Num_Experiments</th>\n",
+       "      <th>Efficiency_IterBest</th>\n",
+       "      <th>Efficiency_CumBest</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>50.00000</td>\n",
+       "      <td>50.00000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>24.50000</td>\n",
+       "      <td>25.50000</td>\n",
+       "      <td>68.424718</td>\n",
+       "      <td>86.399133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14.57738</td>\n",
+       "      <td>14.57738</td>\n",
+       "      <td>23.775399</td>\n",
+       "      <td>11.036087</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>4.390000</td>\n",
+       "      <td>57.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>12.25000</td>\n",
+       "      <td>13.25000</td>\n",
+       "      <td>50.806000</td>\n",
+       "      <td>78.380000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>24.50000</td>\n",
+       "      <td>25.50000</td>\n",
+       "      <td>79.910000</td>\n",
+       "      <td>90.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>36.75000</td>\n",
+       "      <td>37.75000</td>\n",
+       "      <td>87.328214</td>\n",
+       "      <td>93.590000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1337.0</td>\n",
+       "      <td>49.00000</td>\n",
+       "      <td>50.00000</td>\n",
+       "      <td>96.200000</td>\n",
+       "      <td>96.200000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Random_Seed  Iteration  Num_Experiments  Efficiency_IterBest  \\\n",
+       "count         50.0   50.00000         50.00000            50.000000   \n",
+       "mean        1337.0   24.50000         25.50000            68.424718   \n",
+       "std            0.0   14.57738         14.57738            23.775399   \n",
+       "min         1337.0    0.00000          1.00000             4.390000   \n",
+       "25%         1337.0   12.25000         13.25000            50.806000   \n",
+       "50%         1337.0   24.50000         25.50000            79.910000   \n",
+       "75%         1337.0   36.75000         37.75000            87.328214   \n",
+       "max         1337.0   49.00000         50.00000            96.200000   \n",
+       "\n",
+       "       Efficiency_CumBest  \n",
+       "count           50.000000  \n",
+       "mean            86.399133  \n",
+       "std             11.036087  \n",
+       "min             57.000000  \n",
+       "25%             78.380000  \n",
+       "50%             90.000000  \n",
+       "75%             93.590000  \n",
+       "max             96.200000  "
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results = "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = sns.lineplot(\n",
+    "    data=result_fraction,\n",
+    "    marker=\"o\",\n",
+    "    markersize=10,\n",
+    "    x=\"Num_Experiments\",\n",
+    "    y=\"Efficiency_CumBest\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ax = sns.lineplot(\n",
+    "    data=result_transfer_learning,\n",
+    "    marker=\"o\",\n",
+    "    markersize=10,\n",
+    "    x=\"Num_Experiments\",\n",
+    "    y=\"Efficiency_CumBest\",\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/can_baybe-inhibitor.ipynb b/can_baybe-inhibitor.ipynb
new file mode 100644
index 0000000..4e98bce
--- /dev/null
+++ b/can_baybe-inhibitor.ipynb
@@ -0,0 +1,1146 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This project will focus on exploring the capabilities of Bayesian optimization, specifically employing BayBE, in the discovery of novel corrosion inhibitors for materials design. Initially, we will work with a randomly chosen subset from a comprehensive database of electrochemical responses of small organic molecules. Our goal is to assess how Bayesian optimization can speed up the screening process across the design space to identify promising compounds. We will compare different strategies for incorporating alloy information, while optimizing the experimental parameters with respect to the inhibitive performance of the screened compounds."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Initizalization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Loading libraries and data files:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "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></th>\n",
+       "      <th>SMILES</th>\n",
+       "      <th>Time_h</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>Inhib_Concentrat_M</th>\n",
+       "      <th>Salt_Concentrat_M</th>\n",
+       "      <th>Efficiency</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>C(=O)(C(=O)[O-])[O-]</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>15.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>C(=O)(C(=O)[O-])[O-]</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.000000e-04</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>12.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>C(=O)(C(=O)[O-])[O-]</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>30.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>5.000000e-07</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>53.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000e-06</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>58.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>986</th>\n",
+       "      <td>c1ccc2c(c1)[nH]nn2</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.000000e-04</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>97.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>987</th>\n",
+       "      <td>c1ccc2c(c1)[nH]nn2</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>60.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>988</th>\n",
+       "      <td>c1ccc2c(c1)[nH]nn2</td>\n",
+       "      <td>672.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>95.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>989</th>\n",
+       "      <td>c1ncn[nH]1</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>35.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>990</th>\n",
+       "      <td>c1ncn[nH]1</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.000000e-03</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>50.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>991 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    SMILES  Time_h    pH  Inhib_Concentrat_M  \\\n",
+       "0                     C(=O)(C(=O)[O-])[O-]    24.0   4.0        1.000000e-03   \n",
+       "1                     C(=O)(C(=O)[O-])[O-]    24.0   7.0        5.000000e-04   \n",
+       "2                     C(=O)(C(=O)[O-])[O-]    24.0  10.0        1.000000e-03   \n",
+       "3    C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O     0.0   2.0        5.000000e-07   \n",
+       "4    C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O     0.0   2.0        1.000000e-06   \n",
+       "..                                     ...     ...   ...                 ...   \n",
+       "986                     c1ccc2c(c1)[nH]nn2    24.0   7.0        5.000000e-04   \n",
+       "987                     c1ccc2c(c1)[nH]nn2    24.0  10.0        1.000000e-03   \n",
+       "988                     c1ccc2c(c1)[nH]nn2   672.0   7.0        1.000000e-03   \n",
+       "989                             c1ncn[nH]1    24.0   4.0        1.000000e-03   \n",
+       "990                             c1ncn[nH]1    24.0  10.0        1.000000e-03   \n",
+       "\n",
+       "     Salt_Concentrat_M  Efficiency  \n",
+       "0                 0.10       15.00  \n",
+       "1                 0.05       12.35  \n",
+       "2                 0.10       30.00  \n",
+       "3                 2.00       53.85  \n",
+       "4                 2.00       58.55  \n",
+       "..                 ...         ...  \n",
+       "986               0.05       97.95  \n",
+       "987               0.10       60.00  \n",
+       "988               0.10       95.00  \n",
+       "989               0.10       35.00  \n",
+       "990               0.10       50.00  \n",
+       "\n",
+       "[991 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 164,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import os\n",
+    "\n",
+    "from baybe import Campaign\n",
+    "from baybe.objective import Objective\n",
+    "from baybe.parameters import NumericalDiscreteParameter, SubstanceParameter, CategoricalParameter\n",
+    "from baybe.recommenders import RandomRecommender, TwoPhaseMetaRecommender\n",
+    "from baybe.searchspace import SearchSpace\n",
+    "from baybe.simulation import simulate_scenarios\n",
+    "from baybe.targets import NumericalTarget\n",
+    "\n",
+    "df_AA2024 = pd.read_excel('data/averaged_filtered_AA2024.xlsx')\n",
+    "df_AA5000 = pd.read_excel('data/averaged_filtered_AA5000.xlsx')\n",
+    "df_AA6000 = pd.read_excel('data/averaged_filtered_AA6000.xlsx')\n",
+    "df_AA7075 = pd.read_excel('data/averaged_filtered_AA7075.xlsx')\n",
+    "df_AA1000 = pd.read_excel('data/averaged_filtered_AA1000.xlsx')\n",
+    "df_Al = pd.read_excel('data/averaged_filtered_Al.xlsx')\n",
+    "\n",
+    "# change this for campaigns on different datasets\n",
+    "df_active = df_Al\n",
+    "\n",
+    "\n",
+    "if df_active is df_AA2024:\n",
+    "    exp_dataset_name = 'AA2024'\n",
+    "elif df_active is df_AA7075:\n",
+    "    exp_dataset_name = 'AA7075'\n",
+    "elif df_active is df_AA5000:\n",
+    "    exp_dataset_name = 'AA5000'\n",
+    "elif df_active is df_AA6000:\n",
+    "    exp_dataset_name = 'AA6000'\n",
+    "elif df_active is df_AA1000:\n",
+    "    exp_dataset_name = 'AA1000'\n",
+    "elif df_active is df_Al:\n",
+    "    exp_dataset_name = 'Al'\n",
+    "\n",
+    "df_active"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lookup = df_active"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# chemical space dictionary\n",
+    "unique_SMILES = df_active.SMILES.unique()\n",
+    "\n",
+    "def list_to_dict(input_list):\n",
+    "    return {item: item for item in input_list}\n",
+    "\n",
+    "smiles_dict =list_to_dict(unique_SMILES)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# parameters\n",
+    "\n",
+    "basic_parameters=[\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Time_h\",\n",
+    "    values=df_active[\"Time_h\"].unique(),\n",
+    "    # tolerance = 0.004, assume certain experimental noise for each parameter measurement?\n",
+    "),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"pH\",\n",
+    "    values=df_active[\"pH\"].unique(),\n",
+    "    ),  \n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Inhib_Concentrat_M\",\n",
+    "    values=df_active[\"Inhib_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "NumericalDiscreteParameter(\n",
+    "    name=\"Salt_Concentrat_M\",\n",
+    "    values=df_active[\"Salt_Concentrat_M\"].unique(),\n",
+    "    ),\n",
+    "]\n",
+    "\n",
+    "# mordred\n",
+    "parameters_mordred = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=smiles_dict,\n",
+    "        encoding=\"MORDRED\",  # optional\n",
+    "        decorrelate=0.7,  # optional\n",
+    "        )        \n",
+    "        ]\n",
+    "\n",
+    "# morgan fingerprints\n",
+    "parameters_morgan_fp = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=smiles_dict,\n",
+    "        encoding=\"MORGAN_FP\",  # optional\n",
+    "        decorrelate=0.7,  # optional\n",
+    "        )        \n",
+    "        ]\n",
+    "\n",
+    "# rdkit\n",
+    "parameters_rdkit = basic_parameters + [\n",
+    "    SubstanceParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        data=smiles_dict,\n",
+    "        encoding=\"RDKIT\",  # optional\n",
+    "        decorrelate=0.7,  # optional\n",
+    "        )        \n",
+    "        ]\n",
+    "\n",
+    "# one-hot encoding\n",
+    "parameters_ohe = basic_parameters + [\n",
+    "    CategoricalParameter(\n",
+    "        name=\"SMILES\",\n",
+    "        values=unique_SMILES,\n",
+    "        encoding=\"OHE\",\n",
+    "        )\n",
+    "        ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('C1=CC(=C(C=C1C2=C(C(=O)C3=C(C=C(C=C3O2)O)O)O)O)O')\n",
+      "_______________________________________smiles_to_mordred_features - 0.3s, 0.0min\n",
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)N')\n",
+      "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n",
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)C')\n",
+      "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n",
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('C1=CC=C(C=C1)C(=O)SC(=N)NC2=CC=C(C=C2)OC')\n",
+      "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n",
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('N=C(NC1=CC=C(C=C1)Br)SC(O)C2=CC=CC=C2')\n",
+      "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n",
+      "________________________________________________________________________________\n",
+      "[Memory] Calling baybe.utils.chemistry._smiles_to_mordred_features...\n",
+      "_smiles_to_mordred_features('N=C(NC1=CC=C(C=C1)Cl)SC(O)C2=CC=CC=C2')\n",
+      "_______________________________________smiles_to_mordred_features - 0.1s, 0.0min\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_no_target = lookup.drop('Efficiency', axis=1)\n",
+    "\n",
+    "# searchspace = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters)\n",
+    "# print('Print test 1')\n",
+    "# objective = Objective(\n",
+    "#     mode=\"SINGLE\", targets=[NumericalTarget(name=\"Efficiency\", mode=\"MAX\")]\n",
+    "# )\n",
+    "\n",
+    "\n",
+    "searchspace_mordred = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_mordred)\n",
+    "\n",
+    "searchspace_morgan = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_morgan_fp)\n",
+    "\n",
+    "searchspace_rdkit = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_rdkit)\n",
+    "\n",
+    "searchspace_ohe = SearchSpace.from_dataframe(df = df_no_target, parameters=parameters_rdkit)\n",
+    "\n",
+    "\n",
+    "objective = Objective(\n",
+    "    mode=\"SINGLE\", targets=[NumericalTarget(name=\"Efficiency\", mode=\"MAX\")]\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SearchSpace(discrete=SubspaceDiscrete(parameters=[NumericalDiscreteParameter(name='Time_h', encoding=None, _values=[0.0, 0.25, 0.33, 0.5, 0.58, 0.67, 0.75, 1.0, 1.5, 1.67, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 8.0, 10.0, 24.0, 48.0, 72.0, 96.0, 120.0, 144.0, 168.0, 192.0, 240.0, 288.0, 336.0, 360.0, 384.0, 432.0, 480.0, 528.0, 576.0, 600.0, 624.0, 672.0, 720.0], tolerance=0.0), NumericalDiscreteParameter(name='pH', encoding=None, _values=[-0.6, -0.4771212547196624, -0.3979400086720376, -0.3010299956639812, -0.3, -0.1760912590556812, -0.1367205671564068, 0.0, 0.3, 0.45, 0.7, 1.0, 1.7, 2.0, 3.3, 4.0, 4.4, 4.6, 5.4, 5.5, 5.6, 7.0, 7.6, 10.0, 11.0, 13.0, 13.7, 14.30102999566398], tolerance=0.0), NumericalDiscreteParameter(name='Inhib_Concentrat_M', encoding=None, _values=[1e-07, 5e-07, 1e-06, 2e-06, 4e-06, 5e-06, 6e-06, 8e-06, 8.271845945141117e-06, 1e-05, 1.2e-05, 1.5e-05, 1.654369189028223e-05, 2e-05, 2.481553783542335e-05, 3e-05, 3.308738378056447e-05, 4e-05, 4.135922972570559e-05, 5e-05, 6e-05, 7e-05, 8e-05, 8.271845945141118e-05, 0.0001, 0.00015, 0.0001958863858961802, 0.0002, 0.00021, 0.0003, 0.0003566333808844508, 0.0003917727717923605, 0.0004, 0.00042, 0.0005, 0.0005876591576885406, 0.0006, 0.0007, 0.0007132667617689017, 0.0007835455435847209, 0.0008, 0.00084, 0.0009, 0.0009794319294809011, 0.001, 0.0011, 0.0012, 0.0013, 0.0014, 0.0015, 0.0016, 0.001783166904422254, 0.0018, 0.0019, 0.002, 0.002139800285306705, 0.0024, 0.0025, 0.0026, 0.003, 0.0032, 0.003566333808844508, 0.0039, 0.004, 0.0042, 0.00427960057061341, 0.0045, 0.005, 0.0053, 0.005706134094151214, 0.0065, 0.007, 0.0075, 0.0085, 0.009, 0.01, 0.011, 0.015, 0.02, 0.021, 0.022, 0.025, 0.031, 0.033, 0.04, 0.042, 0.044, 0.05, 0.06, 0.08, 0.1, 0.66, 1.32, 1.97, 2.63, 3.28], tolerance=0.0), NumericalDiscreteParameter(name='Salt_Concentrat_M', encoding=None, _values=[0.0, 0.01, 0.05, 0.1, 0.5, 0.6, 1.0, 2.0], tolerance=0.0), SubstanceParameter(name='SMILES', 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'Sc1n[nH]cn1': 'Sc1n[nH]cn1', 'Sc1nc(N)c(c(n1)S)N': 'Sc1nc(N)c(c(n1)S)N', 'Sc1nc(N)c2c(n1)[nH]nc2': 'Sc1nc(N)c2c(n1)[nH]nc2', 'Sc1nc2c([nH]1)cccc2': 'Sc1nc2c([nH]1)cccc2', 'Sc1ncc[nH]1': 'Sc1ncc[nH]1', 'Sc1ncccn1': 'Sc1ncccn1', 'Sc1nnc(s1)S': 'Sc1nnc(s1)S', '[Cl-].[Cl-].[Cl-].[Ce+3]': '[Cl-].[Cl-].[Cl-].[Ce+3]', '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]': '[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+3]', '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]': '[NH4+].[NH4+].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[N+](=O)([O-])[O-].[Ce+4]', '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]': '[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[O-]S(=O)(=O)[O-].[Ce+3].[Ce+3]', '[O-]S(=O)[O-].[Na+].[Na+]': '[O-]S(=O)[O-].[Na+].[Na+]', 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]': 'c1cc(ccc1c2[nH]c(nn2)S)[N+](=O)[O-]', 'c1ccc(nc1)c1ccccn1': 'c1ccc(nc1)c1ccccn1', 'c1ccc2c(c1)[nH]nn2': 'c1ccc2c(c1)[nH]nn2', 'c1ncn[nH]1': 'c1ncn[nH]1'}, decorrelate=0.7, encoding=<SubstanceEncoding.RDKIT: 'RDKIT'>)], exp_rep=     Time_h    pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+       "0      24.0   4.0        1.000000e-03               0.10   \n",
+       "1      24.0   7.0        5.000000e-04               0.05   \n",
+       "2      24.0  10.0        1.000000e-03               0.10   \n",
+       "3       0.0   2.0        5.000000e-07               2.00   \n",
+       "4       0.0   2.0        1.000000e-06               2.00   \n",
+       "..      ...   ...                 ...                ...   \n",
+       "986    24.0   7.0        5.000000e-04               0.05   \n",
+       "987    24.0  10.0        1.000000e-03               0.10   \n",
+       "988   672.0   7.0        1.000000e-03               0.10   \n",
+       "989    24.0   4.0        1.000000e-03               0.10   \n",
+       "990    24.0  10.0        1.000000e-03               0.10   \n",
+       "\n",
+       "                                    SMILES  \n",
+       "0                     C(=O)(C(=O)[O-])[O-]  \n",
+       "1                     C(=O)(C(=O)[O-])[O-]  \n",
+       "2                     C(=O)(C(=O)[O-])[O-]  \n",
+       "3    C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O  \n",
+       "4    C(C(=O)[O-])C(CC(=O)[O-])(C(=O)[O-])O  \n",
+       "..                                     ...  \n",
+       "986                     c1ccc2c(c1)[nH]nn2  \n",
+       "987                     c1ccc2c(c1)[nH]nn2  \n",
+       "988                     c1ccc2c(c1)[nH]nn2  \n",
+       "989                             c1ncn[nH]1  \n",
+       "990                             c1ncn[nH]1  \n",
+       "\n",
+       "[991 rows x 5 columns], metadata=     was_recommended  was_measured  dont_recommend\n",
+       "0              False         False           False\n",
+       "1              False         False           False\n",
+       "2              False         False           False\n",
+       "3              False         False           False\n",
+       "4              False         False           False\n",
+       "..               ...           ...             ...\n",
+       "986            False         False           False\n",
+       "987            False         False           False\n",
+       "988            False         False           False\n",
+       "989            False         False           False\n",
+       "990            False         False           False\n",
+       "\n",
+       "[991 rows x 3 columns], empty_encoding=False, constraints=[], comp_rep=     Time_h    pH  Inhib_Concentrat_M  Salt_Concentrat_M  \\\n",
+       "0      24.0   4.0        1.000000e-03               0.10   \n",
+       "1      24.0   7.0        5.000000e-04               0.05   \n",
+       "2      24.0  10.0        1.000000e-03               0.10   \n",
+       "3       0.0   2.0        5.000000e-07               2.00   \n",
+       "4       0.0   2.0        1.000000e-06               2.00   \n",
+       "..      ...   ...                 ...                ...   \n",
+       "986    24.0   7.0        5.000000e-04               0.05   \n",
+       "987    24.0  10.0        1.000000e-03               0.10   \n",
+       "988   672.0   7.0        1.000000e-03               0.10   \n",
+       "989    24.0   4.0        1.000000e-03               0.10   \n",
+       "990    24.0  10.0        1.000000e-03               0.10   \n",
+       "\n",
+       "     SMILES_RDKIT_MaxAbsEStateIndex  SMILES_RDKIT_MinAbsEStateIndex  \\\n",
+       "0                          8.925926                        2.185185   \n",
+       "1                          8.925926                        2.185185   \n",
+       "2                          8.925926                        2.185185   \n",
+       "3                         10.148889                        1.357824   \n",
+       "4                         10.148889                        1.357824   \n",
+       "..                              ...                             ...   \n",
+       "986                        3.813148                        0.914352   \n",
+       "987                        3.813148                        0.914352   \n",
+       "988                        3.813148                        0.914352   \n",
+       "989                        3.555556                        1.444444   \n",
+       "990                        3.555556                        1.444444   \n",
+       "\n",
+       "     SMILES_RDKIT_MinEStateIndex  SMILES_RDKIT_qed  SMILES_RDKIT_SPS  \\\n",
+       "0                      -2.185185          0.287408          7.333333   \n",
+       "1                      -2.185185          0.287408          7.333333   \n",
+       "2                      -2.185185          0.287408          7.333333   \n",
+       "3                      -2.974537          0.454904         10.846154   \n",
+       "4                      -2.974537          0.454904         10.846154   \n",
+       "..                           ...               ...               ...   \n",
+       "986                     0.914352          0.560736         10.222222   \n",
+       "987                     0.914352          0.560736         10.222222   \n",
+       "988                     0.914352          0.560736         10.222222   \n",
+       "989                     1.444444          0.458207          8.000000   \n",
+       "990                     1.444444          0.458207          8.000000   \n",
+       "\n",
+       "     SMILES_RDKIT_MolWt  ...  SMILES_RDKIT_fr_nitro_arom_nonortho  \\\n",
+       "0                88.018  ...                                    0   \n",
+       "1                88.018  ...                                    0   \n",
+       "2                88.018  ...                                    0   \n",
+       "3               189.099  ...                                    0   \n",
+       "4               189.099  ...                                    0   \n",
+       "..                  ...  ...                                  ...   \n",
+       "986             119.127  ...                                    0   \n",
+       "987             119.127  ...                                    0   \n",
+       "988             119.127  ...                                    0   \n",
+       "989              69.067  ...                                    0   \n",
+       "990              69.067  ...                                    0   \n",
+       "\n",
+       "     SMILES_RDKIT_fr_oxime  SMILES_RDKIT_fr_para_hydroxylation  \\\n",
+       "0                        0                                   0   \n",
+       "1                        0                                   0   \n",
+       "2                        0                                   0   \n",
+       "3                        0                                   0   \n",
+       "4                        0                                   0   \n",
+       "..                     ...                                 ...   \n",
+       "986                      0                                   1   \n",
+       "987                      0                                   1   \n",
+       "988                      0                                   1   \n",
+       "989                      0                                   0   \n",
+       "990                      0                                   0   \n",
+       "\n",
+       "     SMILES_RDKIT_fr_phos_acid  SMILES_RDKIT_fr_priamide  \\\n",
+       "0                            0                         0   \n",
+       "1                            0                         0   \n",
+       "2                            0                         0   \n",
+       "3                            0                         0   \n",
+       "4                            0                         0   \n",
+       "..                         ...                       ...   \n",
+       "986                          0                         0   \n",
+       "987                          0                         0   \n",
+       "988                          0                         0   \n",
+       "989                          0                         0   \n",
+       "990                          0                         0   \n",
+       "\n",
+       "     SMILES_RDKIT_fr_pyridine  SMILES_RDKIT_fr_quatN  SMILES_RDKIT_fr_sulfide  \\\n",
+       "0                           0                      0                        0   \n",
+       "1                           0                      0                        0   \n",
+       "2                           0                      0                        0   \n",
+       "3                           0                      0                        0   \n",
+       "4                           0                      0                        0   \n",
+       "..                        ...                    ...                      ...   \n",
+       "986                         0                      0                        0   \n",
+       "987                         0                      0                        0   \n",
+       "988                         0                      0                        0   \n",
+       "989                         0                      0                        0   \n",
+       "990                         0                      0                        0   \n",
+       "\n",
+       "     SMILES_RDKIT_fr_tetrazole  SMILES_RDKIT_fr_thiazole  \n",
+       "0                            0                         0  \n",
+       "1                            0                         0  \n",
+       "2                            0                         0  \n",
+       "3                            0                         0  \n",
+       "4                            0                         0  \n",
+       "..                         ...                       ...  \n",
+       "986                          0                         0  \n",
+       "987                          0                         0  \n",
+       "988                          0                         0  \n",
+       "989                          0                         0  \n",
+       "990                          0                         0  \n",
+       "\n",
+       "[991 rows x 99 columns]), continuous=SubspaceContinuous(parameters=[], constraints_lin_eq=[], constraints_lin_ineq=[]))"
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "searchspace_rdkit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "campaign_mordred = Campaign(searchspace=searchspace_mordred, objective=objective)\n",
+    "campaign_morgan = Campaign(searchspace=searchspace_morgan, objective=objective)\n",
+    "campaign_rdkit = Campaign(searchspace=searchspace_rdkit, objective=objective)\n",
+    "campaign_ohe = Campaign(searchspace=searchspace_ohe, objective=objective)\n",
+    "\n",
+    "campaign_rand_mordred = Campaign(\n",
+    "    searchspace=searchspace_mordred,\n",
+    "    recommender=TwoPhaseMetaRecommender(recommender=RandomRecommender()),\n",
+    "    objective=objective,\n",
+    ")\n",
+    "campaign_rand_morgan = Campaign(\n",
+    "    searchspace=searchspace_morgan,\n",
+    "    recommender=TwoPhaseMetaRecommender(recommender=RandomRecommender()),\n",
+    "    objective=objective,\n",
+    ")\n",
+    "campaign_rand_rdkit = Campaign(\n",
+    "    searchspace=searchspace_rdkit,\n",
+    "    recommender=TwoPhaseMetaRecommender(recommender=RandomRecommender()),\n",
+    "    objective=objective,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scenarios = {\"Mordred\": campaign_mordred, #\"Random\": campaign_rand_mordred,\n",
+    "             \"Morgan\": campaign_morgan, #\"Morgan Random\": campaign_rand_morgan,\n",
+    "             \"RDKIT\": campaign_rdkit,\n",
+    "             \"OHE\": campaign_ohe, \n",
+    "             \"Random\": campaign_rand_rdkit\n",
+    "             }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/50 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "  2%|2         | 1/50 [00:15<13:02, 15.97s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "  4%|4         | 2/50 [00:30<12:12, 15.27s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "  6%|6         | 3/50 [00:44<11:41, 14.93s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "  8%|8         | 4/50 [01:05<12:35, 16.42s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 10%|#         | 5/50 [01:23<12:28, 16.64s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 12%|#2        | 6/50 [01:39<12:12, 16.64s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 14%|#4        | 7/50 [01:54<11:40, 16.30s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 16%|#6        | 8/50 [02:08<11:15, 16.09s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/linear_operator/utils/cholesky.py:40: NumericalWarning: A not p.d., added jitter of 1.0e-08 to the diagonal\n",
+      "  warnings.warn(\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/linear_operator/utils/cholesky.py:40: NumericalWarning: A not p.d., added jitter of 1.0e-07 to the diagonal\n",
+      "  warnings.warn(\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/linear_operator/utils/cholesky.py:40: NumericalWarning: A not p.d., added jitter of 1.0e-06 to the diagonal\n",
+      "  warnings.warn(\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/linear_operator/utils/cholesky.py:40: NumericalWarning: A not p.d., added jitter of 1.0e-05 to the diagonal\n",
+      "  warnings.warn(\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/linear_operator/utils/cholesky.py:40: NumericalWarning: A not p.d., added jitter of 1.0e-04 to the diagonal\n",
+      "  warnings.warn(\n",
+      " 18%|#8        | 9/50 [02:22<10:48, 15.83s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 20%|##        | 10/50 [02:43<10:55, 16.38s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 22%|##2       | 11/50 [03:17<11:40, 17.97s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 24%|##4       | 12/50 [03:45<11:53, 18.77s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 26%|##6       | 13/50 [04:13<12:00, 19.46s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 28%|##8       | 14/50 [04:40<12:01, 20.03s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 30%|###       | 15/50 [05:08<11:58, 20.54s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 32%|###2      | 16/50 [05:35<11:52, 20.95s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 34%|###4      | 17/50 [06:02<11:43, 21.33s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 36%|###6      | 18/50 [06:29<11:33, 21.66s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 38%|###8      | 19/50 [06:57<11:20, 21.96s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 40%|####      | 20/50 [07:24<11:06, 22.21s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 42%|####2     | 21/50 [07:34<10:27, 21.64s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 44%|####4     | 22/50 [07:44<09:50, 21.11s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 46%|####6     | 23/50 [07:56<09:18, 20.70s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 48%|####8     | 24/50 [08:07<08:48, 20.32s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 50%|#####     | 25/50 [08:18<08:18, 19.95s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 52%|#####2    | 26/50 [08:31<07:52, 19.67s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 54%|#####4    | 27/50 [08:41<07:23, 19.30s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 56%|#####6    | 28/50 [08:53<06:59, 19.06s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 58%|#####8    | 29/50 [09:08<06:37, 18.91s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 60%|######    | 30/50 [09:18<06:12, 18.62s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 62%|######2   | 31/50 [09:29<05:48, 18.36s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 64%|######4   | 32/50 [09:39<05:25, 18.10s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 66%|######6   | 33/50 [09:50<05:04, 17.91s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 68%|######8   | 34/50 [10:02<04:43, 17.72s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 70%|#######   | 35/50 [10:13<04:22, 17.52s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 72%|#######2  | 36/50 [10:26<04:03, 17.39s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 74%|#######4  | 37/50 [10:36<03:43, 17.19s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 76%|#######6  | 38/50 [10:48<03:24, 17.07s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      " 78%|#######8  | 39/50 [11:03<03:07, 17.01s/it]/home/vscode/.local/lib/python3.10/site-packages/botorch/models/transforms/outcome.py:304: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  stdvs = Y.std(dim=-2, keepdim=True)\n",
+      "/home/vscode/.local/lib/python3.10/site-packages/botorch/models/utils/assorted.py:194: UserWarning: std(): degrees of freedom is <= 0. Correction should be strictly less than the reduction factor (input numel divided by output numel). (Triggered internally at ../aten/src/ATen/native/ReduceOps.cpp:1760.)\n",
+      "  Ymean, Ystd = torch.mean(Y, dim=-2), torch.std(Y, dim=-2)\n",
+      "100%|##########| 50/50 [11:19<00:00, 13.58s/it]\n"
+     ]
+    }
+   ],
+   "source": [
+    "N_MC_ITERATIONS = 10\n",
+    "N_DOE_ITERATIONS = 50\n",
+    "BATCH_SIZE = 1\n",
+    "\n",
+    "results = simulate_scenarios(\n",
+    "    scenarios,\n",
+    "    lookup,\n",
+    "    batch_size=BATCH_SIZE,\n",
+    "    n_doe_iterations=N_DOE_ITERATIONS,\n",
+    "    n_mc_iterations=N_MC_ITERATIONS,\n",
+    "    impute_mode=\"best\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results.to_excel(f\"./results/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "max_yield = lookup[\"Efficiency\"].max()\n",
+    "# plot_results = results[results['Scenario'].isin(['Mordred', 'Morgan', 'RDKIT'])]\n",
+    "\n",
+    "# until 10\n",
+    "limit = 10\n",
+    "sns.lineplot(\n",
+    "    data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n",
+    ")\n",
+    "plt.plot([0.5, limit+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n",
+    "plt.legend(loc=\"lower right\")\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.xlim(0, limit+1)\n",
+    "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first10.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# until 25\n",
+    "limit = 25\n",
+    "\n",
+    "sns.lineplot(\n",
+    "    data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n",
+    ")\n",
+    "plt.plot([0.5, N_DOE_ITERATIONS+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n",
+    "plt.legend(loc=\"lower right\")\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.xlim(0, limit+1)\n",
+    "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch_first25.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# all experiments\n",
+    "sns.lineplot(\n",
+    "    data=results, x=\"Num_Experiments\", y=\"Efficiency_CumBest\", hue=\"Scenario\", marker=\"x\"\n",
+    ")\n",
+    "plt.plot([0.5, N_DOE_ITERATIONS+0.5], [max_yield, max_yield], \"--r\", alpha=0.4)\n",
+    "plt.legend(loc=\"lower right\")\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.xlim(0, N_DOE_ITERATIONS+1)\n",
+    "plt.savefig(f\"./img/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "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></th>\n",
+       "      <th>Scenario</th>\n",
+       "      <th>Random_Seed</th>\n",
+       "      <th>Iteration</th>\n",
+       "      <th>Num_Experiments</th>\n",
+       "      <th>Efficiency_Measurements</th>\n",
+       "      <th>Efficiency_IterBest</th>\n",
+       "      <th>Efficiency_CumBest</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Mordred</td>\n",
+       "      <td>1337</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>[91.5]</td>\n",
+       "      <td>91.500000</td>\n",
+       "      <td>91.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Mordred</td>\n",
+       "      <td>1337</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>[66.66499999999999]</td>\n",
+       "      <td>66.665000</td>\n",
+       "      <td>91.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Mordred</td>\n",
+       "      <td>1337</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>[65.0]</td>\n",
+       "      <td>65.000000</td>\n",
+       "      <td>91.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Mordred</td>\n",
+       "      <td>1337</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>[96.43666666666667]</td>\n",
+       "      <td>96.436667</td>\n",
+       "      <td>96.436667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Mordred</td>\n",
+       "      <td>1337</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>[98.13333333333333]</td>\n",
+       "      <td>98.133333</td>\n",
+       "      <td>98.133333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2495</th>\n",
+       "      <td>Random</td>\n",
+       "      <td>1346</td>\n",
+       "      <td>45</td>\n",
+       "      <td>46</td>\n",
+       "      <td>[10.0]</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>99.900000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2496</th>\n",
+       "      <td>Random</td>\n",
+       "      <td>1346</td>\n",
+       "      <td>46</td>\n",
+       "      <td>47</td>\n",
+       "      <td>[65.0]</td>\n",
+       "      <td>65.000000</td>\n",
+       "      <td>99.900000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2497</th>\n",
+       "      <td>Random</td>\n",
+       "      <td>1346</td>\n",
+       "      <td>47</td>\n",
+       "      <td>48</td>\n",
+       "      <td>[53.85]</td>\n",
+       "      <td>53.850000</td>\n",
+       "      <td>99.900000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2498</th>\n",
+       "      <td>Random</td>\n",
+       "      <td>1346</td>\n",
+       "      <td>48</td>\n",
+       "      <td>49</td>\n",
+       "      <td>[64.0]</td>\n",
+       "      <td>64.000000</td>\n",
+       "      <td>99.900000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2499</th>\n",
+       "      <td>Random</td>\n",
+       "      <td>1346</td>\n",
+       "      <td>49</td>\n",
+       "      <td>50</td>\n",
+       "      <td>[72.378]</td>\n",
+       "      <td>72.378000</td>\n",
+       "      <td>99.900000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2500 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Scenario  Random_Seed  Iteration  Num_Experiments  \\\n",
+       "0     Mordred         1337          0                1   \n",
+       "1     Mordred         1337          1                2   \n",
+       "2     Mordred         1337          2                3   \n",
+       "3     Mordred         1337          3                4   \n",
+       "4     Mordred         1337          4                5   \n",
+       "...       ...          ...        ...              ...   \n",
+       "2495   Random         1346         45               46   \n",
+       "2496   Random         1346         46               47   \n",
+       "2497   Random         1346         47               48   \n",
+       "2498   Random         1346         48               49   \n",
+       "2499   Random         1346         49               50   \n",
+       "\n",
+       "     Efficiency_Measurements  Efficiency_IterBest  Efficiency_CumBest  \n",
+       "0                     [91.5]            91.500000           91.500000  \n",
+       "1        [66.66499999999999]            66.665000           91.500000  \n",
+       "2                     [65.0]            65.000000           91.500000  \n",
+       "3        [96.43666666666667]            96.436667           96.436667  \n",
+       "4        [98.13333333333333]            98.133333           98.133333  \n",
+       "...                      ...                  ...                 ...  \n",
+       "2495                  [10.0]            10.000000           99.900000  \n",
+       "2496                  [65.0]            65.000000           99.900000  \n",
+       "2497                 [53.85]            53.850000           99.900000  \n",
+       "2498                  [64.0]            64.000000           99.900000  \n",
+       "2499                [72.378]            72.378000           99.900000  \n",
+       "\n",
+       "[2500 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results.to_excel(f\"./results/{exp_dataset_name}_simulation_{N_MC_ITERATIONS}MC_{N_DOE_ITERATIONS}exp_{BATCH_SIZE}batch.xlsx\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Transfer Learning"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
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