NPI_Cluster_Results_hicom.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "import re\n",
    "from plotfx import *\n",
    "import pickle\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "sims = ['beta006_multiNPI_0vax_hicom', 'beta006_multiNPI_20vax_hicom', 'beta006_multiNPI_40vax_hicom']\n",
    "partitions = np.arange(5)\n",
    "sim_names = [sim + '_' + str(part) + '.csv' for sim in sims for part in partitions]\n",
    "outfile = 'multiNPI_vax_hicom'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['beta006_multiNPI_0vax_hicom_0.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_1.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_2.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_3.csv',\n",
       " 'beta006_multiNPI_0vax_hicom_4.csv',\n",
       " 'beta006_multiNPI_20vax_hicom_0.csv',\n",
       " 'beta006_multiNPI_20vax_hicom_1.csv',\n",
       " 'beta006_multiNPI_20vax_hicom_2.csv',\n",
       " 'beta006_multiNPI_20vax_hicom_3.csv',\n",
       " 'beta006_multiNPI_20vax_hicom_4.csv',\n",
       " 'beta006_multiNPI_40vax_hicom_0.csv',\n",
       " 'beta006_multiNPI_40vax_hicom_1.csv',\n",
       " 'beta006_multiNPI_40vax_hicom_2.csv',\n",
       " 'beta006_multiNPI_40vax_hicom_3.csv',\n",
       " 'beta006_multiNPI_40vax_hicom_4.csv']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "for file in sim_names:\n",
    "    tmpdf = pd.read_csv(file, header = 0, dtype = {'rep': int, 'p_vax': float, 'test_freq': int})\n",
    "    part = int(file[-5])\n",
    "    tmpdf['partition'] = np.repeat(part, repeats = tmpdf.shape[0])\n",
    "    df = df.append(tmpdf, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Linspace adds trailing decimal places in some cases\n",
    "df['p_vax'] = df['p_vax'].round(decimals = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(181500, 8)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
       "      <th>ext_inf_ct</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>484</td>\n",
       "      <td>114</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>436</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>423</td>\n",
       "      <td>107</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>461</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>444</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "0    1          0   0.0   0.0    0.0           484         114          0\n",
       "1    2          0   0.0   0.0    0.0           436         115          0\n",
       "2    3          0   0.0   0.0    0.0           423         107          0\n",
       "3    4          0   0.0   0.0    0.0           461          87          0\n",
       "4    5          0   0.0   0.0    0.0           444          96          0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rep</th>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>cum_uniq_inf</th>\n",
       "      <th>ext_inf_ct</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181495</th>\n",
       "      <td>96</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>85</td>\n",
       "      <td>89</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181496</th>\n",
       "      <td>97</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181497</th>\n",
       "      <td>98</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>112</td>\n",
       "      <td>111</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181498</th>\n",
       "      <td>99</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>91</td>\n",
       "      <td>92</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181499</th>\n",
       "      <td>100</td>\n",
       "      <td>28</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>97</td>\n",
       "      <td>95</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        rep  test_freq  p_sd  p_fm  p_vax  cum_uniq_inf  ext_inf_ct  partition\n",
       "181495   96         28   1.0   1.0    0.4            85          89          4\n",
       "181496   97         28   1.0   1.0    0.4            82          82          4\n",
       "181497   98         28   1.0   1.0    0.4           112         111          4\n",
       "181498   99         28   1.0   1.0    0.4            91          92          4\n",
       "181499  100         28   1.0   1.0    0.4            97          95          4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Renumber reps to remove duplicates\n",
    "df['rep'] = df['rep'] + df['partition']*20\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Heatmaps by Immunization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>test_freq</th>\n",
       "      <th>p_vax</th>\n",
       "      <th>p_sd</th>\n",
       "      <th>p_fm</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.0</th>\n",
       "      <th>0.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>457.50</td>\n",
       "      <td>23.063154</td>\n",
       "      <td>404.0</td>\n",
       "      <td>439.50</td>\n",
       "      <td>461.0</td>\n",
       "      <td>476.25</td>\n",
       "      <td>503.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>410.17</td>\n",
       "      <td>22.284685</td>\n",
       "      <td>353.0</td>\n",
       "      <td>396.00</td>\n",
       "      <td>411.0</td>\n",
       "      <td>421.25</td>\n",
       "      <td>477.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>362.65</td>\n",
       "      <td>24.841060</td>\n",
       "      <td>309.0</td>\n",
       "      <td>347.25</td>\n",
       "      <td>362.5</td>\n",
       "      <td>379.25</td>\n",
       "      <td>419.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>317.55</td>\n",
       "      <td>29.252083</td>\n",
       "      <td>244.0</td>\n",
       "      <td>296.50</td>\n",
       "      <td>321.0</td>\n",
       "      <td>335.50</td>\n",
       "      <td>387.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>272.05</td>\n",
       "      <td>26.453075</td>\n",
       "      <td>191.0</td>\n",
       "      <td>255.00</td>\n",
       "      <td>274.5</td>\n",
       "      <td>289.50</td>\n",
       "      <td>330.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">28</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">0.4</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">1.0</th>\n",
       "      <th>0.6</th>\n",
       "      <td>100.0</td>\n",
       "      <td>95.54</td>\n",
       "      <td>9.400645</td>\n",
       "      <td>73.0</td>\n",
       "      <td>90.00</td>\n",
       "      <td>96.0</td>\n",
       "      <td>100.25</td>\n",
       "      <td>122.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>95.70</td>\n",
       "      <td>9.472448</td>\n",
       "      <td>76.0</td>\n",
       "      <td>89.75</td>\n",
       "      <td>96.0</td>\n",
       "      <td>102.00</td>\n",
       "      <td>119.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.8</th>\n",
       "      <td>100.0</td>\n",
       "      <td>94.43</td>\n",
       "      <td>9.488169</td>\n",
       "      <td>67.0</td>\n",
       "      <td>87.75</td>\n",
       "      <td>95.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.9</th>\n",
       "      <td>100.0</td>\n",
       "      <td>92.15</td>\n",
       "      <td>9.501063</td>\n",
       "      <td>68.0</td>\n",
       "      <td>86.75</td>\n",
       "      <td>93.0</td>\n",
       "      <td>98.00</td>\n",
       "      <td>117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>100.0</td>\n",
       "      <td>90.96</td>\n",
       "      <td>9.375360</td>\n",
       "      <td>70.0</td>\n",
       "      <td>84.00</td>\n",
       "      <td>91.0</td>\n",
       "      <td>97.25</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1815 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           count    mean        std    min     25%    50%  \\\n",
       "test_freq p_vax p_sd p_fm                                                   \n",
       "0         0.0   0.0  0.0   100.0  457.50  23.063154  404.0  439.50  461.0   \n",
       "                     0.1   100.0  410.17  22.284685  353.0  396.00  411.0   \n",
       "                     0.2   100.0  362.65  24.841060  309.0  347.25  362.5   \n",
       "                     0.3   100.0  317.55  29.252083  244.0  296.50  321.0   \n",
       "                     0.4   100.0  272.05  26.453075  191.0  255.00  274.5   \n",
       "...                          ...     ...        ...    ...     ...    ...   \n",
       "28        0.4   1.0  0.6   100.0   95.54   9.400645   73.0   90.00   96.0   \n",
       "                     0.7   100.0   95.70   9.472448   76.0   89.75   96.0   \n",
       "                     0.8   100.0   94.43   9.488169   67.0   87.75   95.0   \n",
       "                     0.9   100.0   92.15   9.501063   68.0   86.75   93.0   \n",
       "                     1.0   100.0   90.96   9.375360   70.0   84.00   91.0   \n",
       "\n",
       "                              75%    max  \n",
       "test_freq p_vax p_sd p_fm                 \n",
       "0         0.0   0.0  0.0   476.25  503.0  \n",
       "                     0.1   421.25  477.0  \n",
       "                     0.2   379.25  419.0  \n",
       "                     0.3   335.50  387.0  \n",
       "                     0.4   289.50  330.0  \n",
       "...                           ...    ...  \n",
       "28        0.4   1.0  0.6   100.25  122.0  \n",
       "                     0.7   102.00  119.0  \n",
       "                     0.8   100.00  132.0  \n",
       "                     0.9    98.00  117.0  \n",
       "                     1.0    97.25  112.0  \n",
       "\n",
       "[1815 rows x 8 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aggdf = df.groupby(['test_freq','p_vax','p_sd','p_fm'])['cum_uniq_inf'].describe()\n",
    "aggdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Every 3 Days',\n",
       " 'Every 7 Days',\n",
       " 'Every 14 Days',\n",
       " 'Every 28 Days',\n",
       " 'Symptomatic Only']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "annotate = [\"0%\\nImmune\", \"20%\\nImmune\", \"40%\\nImmune\", \"60%\\nImmune\", \"80%\\nImmune\"]\n",
    "title = 'Every {freq} Days'\n",
    "titles = [title.format(freq = f) for f in [3,7,14,28]] + ['Symptomatic Only']\n",
    "titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1224 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['axes.titlesize'] = 'xx-large'\n",
    "mpl.rcParams['axes.labelsize'] = 'xx-large'\n",
    "\n",
    "f, axs = plt.subplots(3, 5, figsize = (25, 17), sharex = True, sharey = True)\n",
    "#f.suptitle('Testing Frequency', fontsize = 20, y = 0.93)\n",
    "f.subplots_adjust(wspace=0.03, hspace=0.05)\n",
    "\n",
    "# Loop through rows\n",
    "for (i, p_vax) in enumerate(df.p_vax.unique()):\n",
    "    \n",
    "    # Loop through testing values (columns)\n",
    "    for (j, tf) in enumerate(df.test_freq.unique()):\n",
    "        \n",
    "        if tf==0:\n",
    "            j = 4\n",
    "        else:\n",
    "            j = j-1\n",
    "        \n",
    "        # Format data\n",
    "        pltdf = df.loc[(df.test_freq == tf) & (df.p_vax == p_vax)]\n",
    "        xvals = pltdf.p_sd.unique()\n",
    "        yvals = pltdf.p_fm.unique()\n",
    "        pltx = [min(xvals)-0.05] + ((xvals[1:]+xvals[:-1])/2).tolist() + [max(xvals) + 0.05]\n",
    "        plty = [min(yvals)-0.05] + ((yvals[1:]+yvals[:-1])/2).tolist() + [max(yvals) + 0.05]\n",
    "        # Column index corresponds to x-coord, row corresponds to y-coord\n",
    "        vals = np.array(pltdf.groupby(['p_sd','p_fm'])['cum_uniq_inf'].mean()).reshape((11,11)).T/692\n",
    "\n",
    "        # Make plot\n",
    "        bounds = np.linspace(0, 0.65, 14)\n",
    "        norm = mpl.colors.BoundaryNorm(boundaries=bounds, ncolors=256)\n",
    "        im = axs[i,j].pcolormesh(pltx, plty, vals, norm = norm, cmap='RdYlGn_r')\n",
    "        if i==0:\n",
    "            axs[i,j].set_title(titles[j], fontsize = 20)\n",
    "        if j==0:\n",
    "            axs[i,j].set_ylabel('% Wearing Face Mask', fontsize = 20)\n",
    "        if (i+1)==df.p_vax.nunique():\n",
    "            axs[i,j].set_xlabel('% Social Distancing', fontsize = 20)\n",
    "            \n",
    "        # Adjust ticks and labels\n",
    "        axs[i,j].tick_params(axis = 'x', labelsize = 12)\n",
    "        axs[i,j].tick_params(axis = 'y', labelsize = 12)\n",
    "\n",
    "        # Annotate if last column\n",
    "        if (j+1)==df.test_freq.nunique():\n",
    "            axs[i,j].text(1.25, 0.5, annotate[i], fontsize = 20, ha='center', va='center')\n",
    "\n",
    "        # Add text annotations\n",
    "        for (k, x) in enumerate(xvals):\n",
    "            for (l, y) in enumerate(yvals):\n",
    "                if (vals[l,k]>=0.2) & (vals[l,k]<=0.45):\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"gray\", fontsize = 8)\n",
    "                else:\n",
    "                    text = axs[i,j].text(x, y, np.around(vals[l,k],2), ha=\"center\", va=\"center\", color = \"whitesmoke\", fontsize = 8)\n",
    "\n",
    "\n",
    "# Add colorbar\n",
    "cbar_ax = f.add_axes([0.05, 0.25, 0.01, 0.5])\n",
    "f.colorbar(im, ax=axs.ravel().tolist(), cax = cbar_ax, label = '% of Population Infected')\n",
    "cbar_ax.yaxis.set_ticks_position('right')\n",
    "cbar_ax.yaxis.set_label_position('left')\n",
    "cbar_ax.yaxis.label.set_size(20)\n",
    "cbar_ax.tick_params(labelsize=16)\n",
    "plt.savefig('Heatmap_hicom_vax_trans.eps', bbox_inches='tight', transparent=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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