townhall-public-comment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "70da313a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "from datetime import datetime\n",
    "import os\n",
    "import time\n",
    "import unicodedata\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9e0c6ec7",
   "metadata": {},
   "outputs": [],
   "source": [
    "main_url=\"https://townhall.virginia.gov/L/Comments.cfm?GdocForumID=1953\"\n",
    "\n",
    "orig_url=\"https://townhall.virginia.gov/L/GDocForum.cfm?GDocForumID=452\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d499be5",
   "metadata": {},
   "source": [
    "## Alt method - full comments page, paginated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "451ed439",
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = \"https://townhall.virginia.gov/L/ViewComments.cfm?GdocForumID=1953\"\n",
    "params = {\"vPage\": 1,\n",
    "  \"vPerPage\": 999,\n",
    "  \"sub1\": \"go\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32e99d20",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    }
   ],
   "source": [
    "pagecount = 99\n",
    "params['vPage'] = 1\n",
    "\n",
    "dfc = pd.DataFrame()\n",
    "\n",
    "while params['vPage'] <= pagecount:\n",
    "    r = requests.post(base_url, data=params)\n",
    "    soup = BeautifulSoup(r.text, \"lxml\")\n",
    "    try:\n",
    "        pagecount = int(soup.find(id=\"page\").div.a.text)\n",
    "    except:\n",
    "        pagecount = 0\n",
    "    print(f\"page {params['vPage']}/{pagecount}\")\n",
    "    params['vPage'] += 1\n",
    "    boxes = soup.find_all(attrs={\"class\": \"Cbox\"})\n",
    "    for box in boxes:\n",
    "        comment = {\"Date\": unicodedata.normalize(\"NFKD\", box.contents[1].div.get_text(strip=True)),\n",
    "           \"Commenter\": box.contents[3].contents[2].strip(),\n",
    "           \"Comment Title\": box.contents[3].find_all('strong')[1].get_text(strip=True),\n",
    "           \"Comment\": box.find(attrs={\"class\":\"divComment\"}).get_text(strip=True),\n",
    "           \"CommentID\": int(box.find(attrs={\"class\":\"linklight\"}).get_text(strip=True))}\n",
    "        dfc = dfc.append(comment, ignore_index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "566cccde",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(71298, 5)\n",
      "71260\n"
     ]
    }
   ],
   "source": [
    "print(dfc.shape)\n",
    "print(len(dfc['CommentID'].unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cc932df7",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfc.to_csv('all_comments.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd06ac2d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "268b9cbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read back from csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "66fa1f43",
   "metadata": {},
   "outputs": [],
   "source": [
    "# feature eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c1117782",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfc['Date'] = pd.to_datetime(dfc['Date'], errors='coerce') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3de769c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfc['alltext'] = (dfc['Comment Title'] + ' ' + dfc['Comment']).str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b23b412d",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfc['support'] = dfc['Comment Title'].str.lower().str.contains('support')\n",
    "dfc['oppose'] = dfc['Comment Title'].str.lower().str.contains('oppose')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d916ed6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total: 71298 comments\n",
      "Using title alone...\n",
      "Support policy: 15077 comments, avg length 275\n",
      "Oppose policy: 23065 comments, avg length 314\n",
      "Unclear: 33513 comments, avg length 317\n",
      "Intersect: 357\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(f\"Total: {dfc.shape[0]} comments\")\n",
    "print(\"Using title alone...\")\n",
    "print(f\"Support policy: {dfc['support'].sum()} comments, avg length {dfc.loc[dfc['support']]['Comment'].str.len().mean():.0f}\")\n",
    "print(f\"Oppose policy: {dfc['oppose'].sum()} comments, avg length {dfc.loc[dfc['oppose']]['Comment'].str.len().mean():.0f}\")\n",
    "print(f\"Unclear: {(~dfc['support'] & ~dfc['oppose']).sum()} comments, avg length {dfc.loc[(~dfc['support'] & ~dfc['oppose'])]['Comment'].str.len().mean():.0f}\")\n",
    "print(f\"Intersect: {(dfc['support'] & dfc['oppose']).sum()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "0c433d99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6047139636096691"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "23065/(23065+15077)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c680fd27",
   "metadata": {},
   "outputs": [],
   "source": [
    "# process text field\n",
    "cleantext = []\n",
    "\n",
    "for sentence in dfc['alltext']:\n",
    "    # Remove all the special characters\n",
    "    processed_feature = re.sub(r'\\W', ' ', str(sentence))\n",
    "\n",
    "    # remove all single characters\n",
    "    processed_feature= re.sub(r'\\s+[a-zA-Z]\\s+', ' ', processed_feature)\n",
    "\n",
    "    # Remove single characters from the start\n",
    "    processed_feature = re.sub(r'\\^[a-zA-Z]\\s+', ' ', processed_feature) \n",
    "\n",
    "    # Substituting multiple spaces with single space\n",
    "    processed_feature = re.sub(r'\\s+', ' ', processed_feature, flags=re.I)\n",
    "\n",
    "    # Removing prefixed 'b'\n",
    "    processed_feature = re.sub(r'^b\\s+', '', processed_feature)\n",
    "\n",
    "    # Converting to Lowercase\n",
    "    processed_feature = processed_feature.lower()\n",
    "\n",
    "    cleantext.append(processed_feature)\n",
    "    \n",
    "dfc['cleantext'] = cleantext"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f141d30c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# segment training data from unknown data\n",
    "\n",
    "dfc['label'] = 'Unknown'\n",
    "dfc.loc[dfc['support'],'label'] = 'Support'\n",
    "dfc.loc[dfc['oppose'],'label'] = 'Oppose'\n",
    "dfc.loc[(dfc['support'] & dfc['oppose']), 'label'] = 'Unknown'\n",
    "\n",
    "train = dfc.loc[dfc['label'] != 'Unknown',:]\n",
    "unk = dfc.loc[dfc['label'] == 'Unknown']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "10a679ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "vectorizer = TfidfVectorizer(max_features=2500, min_df=7, max_df=0.8, stop_words=stopwords.words('english'))\n",
    "processed_features = vectorizer.fit_transform(train['cleantext']).toarray()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4eeeb2bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(processed_features, train['label'], test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c4a5dbdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(n_estimators=200, random_state=0)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "text_classifier = RandomForestClassifier(n_estimators=200, random_state=0)\n",
    "text_classifier.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca138e77",
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = text_classifier.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ecbcb70c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[4513    4]\n",
      " [  73 2896]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "      Oppose       0.98      1.00      0.99      4517\n",
      "     Support       1.00      0.98      0.99      2969\n",
      "\n",
      "    accuracy                           0.99      7486\n",
      "   macro avg       0.99      0.99      0.99      7486\n",
      "weighted avg       0.99      0.99      0.99      7486\n",
      "\n",
      "0.989714133048357\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "print(confusion_matrix(y_test,predictions))\n",
    "print(classification_report(y_test,predictions))\n",
    "print(accuracy_score(y_test, predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "613cfc7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-21-d550d6c9a0ca>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  unk['pred'] = real_preds\n"
     ]
    }
   ],
   "source": [
    "unk_input = vectorizer.transform(unk['cleantext']).toarray() # don't re-fit the vectorizer!\n",
    "real_preds = text_classifier.predict(unk_input)\n",
    "unk['pred'] = real_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2ed743b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>Comment</th>\n",
       "      <th>Comment Title</th>\n",
       "      <th>CommentID</th>\n",
       "      <th>Commenter</th>\n",
       "      <th>Date</th>\n",
       "      <th>alltext</th>\n",
       "      <th>support</th>\n",
       "      <th>oppose</th>\n",
       "      <th>cleantext</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pred</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Oppose</th>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "      <td>26770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Support</th>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "      <td>7100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Comment  Comment Title  CommentID  Commenter   Date  alltext  \\\n",
       "pred                                                                    \n",
       "Oppose     26770          26770      26770      26770  26770    26770   \n",
       "Support     7100           7100       7100       7100   7100     7100   \n",
       "\n",
       "         support  oppose  cleantext  label  \n",
       "pred                                        \n",
       "Oppose     26770   26770      26770  26770  \n",
       "Support     7100    7100       7100   7100  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unk.groupby(['pred']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bb9b796d",
   "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>Comment</th>\n",
       "      <th>Comment Title</th>\n",
       "      <th>CommentID</th>\n",
       "      <th>Commenter</th>\n",
       "      <th>Date</th>\n",
       "      <th>alltext</th>\n",
       "      <th>support</th>\n",
       "      <th>oppose</th>\n",
       "      <th>cleantext</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Oppose</th>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "      <td>22708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Support</th>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "      <td>14720</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Comment  Comment Title  CommentID  Commenter   Date  alltext  \\\n",
       "label                                                                   \n",
       "Oppose     22708          22708      22708      22708  22708    22708   \n",
       "Support    14720          14720      14720      14720  14720    14720   \n",
       "\n",
       "         support  oppose  cleantext  \n",
       "label                                \n",
       "Oppose     22708   22708      22708  \n",
       "Support    14720   14720      14720  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.groupby(['label']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3a7ac537",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-24-d4fb34fd6823>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  train['pred'] = ''\n"
     ]
    }
   ],
   "source": [
    "train['pred'] = ''\n",
    "output_df = train.loc[:,['CommentID','Commenter','Comment Title','Comment','Date','label','pred']]\n",
    "output_df = output_df.append(unk.loc[:,['CommentID','Commenter','Comment Title','Comment','Date','label','pred']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3040bccb",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_df.to_csv('output.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b37f1232",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-26-4c0ba5a8c74c>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  anon['merged'] = anon['pred'].replace('',np.NaN).fillna(anon['label'])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "merged\n",
       "Oppose     26289\n",
       "Support    11605\n",
       "Name: CommentID, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon = output_df.loc[output_df['Commenter'].str.lower().str.strip() == 'anonymous']\n",
    "anon['merged'] = anon['pred'].replace('',np.NaN).fillna(anon['label'])\n",
    "anon.groupby('merged')['CommentID'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5e13cf74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32030, 8)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c00baff",
   "metadata": {},
   "source": [
    "## Timeseries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8f55d3ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anon_ts = anon.set_index('Date').groupby([pd.Grouper(freq='1h'), 'merged']).count().loc[:,['Comment']].reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "sns.lineplot(x = 'Date', y = 'Comment', data = anon_ts, hue = 'merged', ax=ax)\n",
    "ax.set_title('Anonymous comments on Youngkin school trans policy', fontsize=14)\n",
    "plt.savefig(\"images/anon_ts.png\", facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8b5ba5a0",
   "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></th>\n",
       "      <th>count</th>\n",
       "      <th>min_date</th>\n",
       "      <th>max_date</th>\n",
       "      <th>range</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comment Title</th>\n",
       "      <th>Comment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Leave Trans Kids Alone</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>4420</td>\n",
       "      <td>2022-09-28 20:01:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strongly Oppose</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>4224</td>\n",
       "      <td>2022-09-28 19:42:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Youngkin Hates</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>2633</td>\n",
       "      <td>2022-09-28 20:01:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glenn Youngkin Is A Bot</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>1363</td>\n",
       "      <td>2022-09-28 20:08:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>This Policy Makes The Baby Jesus Cry</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>1070</td>\n",
       "      <td>2022-09-28 20:11:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glenn Youngkin Wears A Hairpiece</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>1065</td>\n",
       "      <td>2022-09-28 20:11:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:14:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glenn Youngkin Smells Like Stale Farts</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>812</td>\n",
       "      <td>2022-09-28 20:12:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOCK YOUNGKIN UP</th>\n",
       "      <th>As anti american as you can get!</th>\n",
       "      <td>577</td>\n",
       "      <td>2022-09-28 10:18:00</td>\n",
       "      <td>2022-09-28 10:22:00</td>\n",
       "      <td>0 days 00:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VOTE HIM OUT</th>\n",
       "      <th>This is cruel to our children</th>\n",
       "      <td>432</td>\n",
       "      <td>2022-09-28 10:12:00</td>\n",
       "      <td>2022-09-28 10:16:00</td>\n",
       "      <td>0 days 00:04:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CRUELTY TO OUR CHILDREN</th>\n",
       "      <th>This is as mean as you can get.</th>\n",
       "      <td>316</td>\n",
       "      <td>2022-09-28 10:25:00</td>\n",
       "      <td>2022-09-28 10:28:00</td>\n",
       "      <td>0 days 00:03:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                       count  \\\n",
       "Comment Title                          Comment                                                 \n",
       "Leave Trans Kids Alone                 This will hurt kids.  Don't be mean, Youngkin!   4420   \n",
       "Strongly Oppose                        This will hurt kids.  Don't be mean, Youngkin!   4224   \n",
       "Youngkin Hates                         This will hurt kids.  Don't be mean, Youngkin!   2633   \n",
       "Glenn Youngkin Is A Bot                This will hurt kids.  Don't be mean, Youngkin!   1363   \n",
       "This Policy Makes The Baby Jesus Cry   This will hurt kids.  Don't be mean, Youngkin!   1070   \n",
       "Glenn Youngkin Wears A Hairpiece       This will hurt kids.  Don't be mean, Youngkin!   1065   \n",
       "Glenn Youngkin Smells Like Stale Farts This will hurt kids.  Don't be mean, Youngkin!    812   \n",
       "LOCK YOUNGKIN UP                       As anti american as you can get!                  577   \n",
       "VOTE HIM OUT                           This is cruel to our children                     432   \n",
       "CRUELTY TO OUR CHILDREN                This is as mean as you can get.                   316   \n",
       "\n",
       "                                                                                                 min_date  \\\n",
       "Comment Title                          Comment                                                              \n",
       "Leave Trans Kids Alone                 This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:01:00   \n",
       "Strongly Oppose                        This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 19:42:00   \n",
       "Youngkin Hates                         This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:01:00   \n",
       "Glenn Youngkin Is A Bot                This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:08:00   \n",
       "This Policy Makes The Baby Jesus Cry   This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:11:00   \n",
       "Glenn Youngkin Wears A Hairpiece       This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:11:00   \n",
       "Glenn Youngkin Smells Like Stale Farts This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:12:00   \n",
       "LOCK YOUNGKIN UP                       As anti american as you can get!               2022-09-28 10:18:00   \n",
       "VOTE HIM OUT                           This is cruel to our children                  2022-09-28 10:12:00   \n",
       "CRUELTY TO OUR CHILDREN                This is as mean as you can get.                2022-09-28 10:25:00   \n",
       "\n",
       "                                                                                                 max_date  \\\n",
       "Comment Title                          Comment                                                              \n",
       "Leave Trans Kids Alone                 This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Strongly Oppose                        This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Youngkin Hates                         This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Glenn Youngkin Is A Bot                This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "This Policy Makes The Baby Jesus Cry   This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "Glenn Youngkin Wears A Hairpiece       This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "Glenn Youngkin Smells Like Stale Farts This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "LOCK YOUNGKIN UP                       As anti american as you can get!               2022-09-28 10:22:00   \n",
       "VOTE HIM OUT                           This is cruel to our children                  2022-09-28 10:16:00   \n",
       "CRUELTY TO OUR CHILDREN                This is as mean as you can get.                2022-09-28 10:28:00   \n",
       "\n",
       "                                                                                                range  \n",
       "Comment Title                          Comment                                                         \n",
       "Leave Trans Kids Alone                 This will hurt kids.  Don't be mean, Youngkin! 0 days 01:26:00  \n",
       "Strongly Oppose                        This will hurt kids.  Don't be mean, Youngkin! 0 days 01:45:00  \n",
       "Youngkin Hates                         This will hurt kids.  Don't be mean, Youngkin! 0 days 01:26:00  \n",
       "Glenn Youngkin Is A Bot                This will hurt kids.  Don't be mean, Youngkin! 0 days 00:17:00  \n",
       "This Policy Makes The Baby Jesus Cry   This will hurt kids.  Don't be mean, Youngkin! 0 days 00:14:00  \n",
       "Glenn Youngkin Wears A Hairpiece       This will hurt kids.  Don't be mean, Youngkin! 0 days 00:14:00  \n",
       "Glenn Youngkin Smells Like Stale Farts This will hurt kids.  Don't be mean, Youngkin! 0 days 00:13:00  \n",
       "LOCK YOUNGKIN UP                       As anti american as you can get!               0 days 00:04:00  \n",
       "VOTE HIM OUT                           This is cruel to our children                  0 days 00:04:00  \n",
       "CRUELTY TO OUR CHILDREN                This is as mean as you can get.                0 days 00:03:00  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon_dups = anon.groupby(['Comment Title','Comment']).agg({\"CommentID\":'count','Date':['min','max']})\n",
    "anon_dups.columns = ['count','min_date','max_date']\n",
    "anon_dups['range'] = (anon_dups['max_date'] - anon_dups['min_date'])\n",
    "anon_dups.sort_values('count', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "01f5f245",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anon_dups['count'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c50fec03",
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop dups with >5\n",
    "anon_dups.reset_index(inplace=True)\n",
    "anon_dups = anon_dups.loc[(anon_dups['count']>5)]\n",
    "anon_dups.set_index(['Comment Title','Comment'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9bf4e5d9",
   "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></th>\n",
       "      <th>count</th>\n",
       "      <th>min_date</th>\n",
       "      <th>max_date</th>\n",
       "      <th>range</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comment Title</th>\n",
       "      <th>Comment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Leave Trans Kids Alone</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>4420</td>\n",
       "      <td>2022-09-28 20:01:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strongly Oppose</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>4224</td>\n",
       "      <td>2022-09-28 19:42:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:45:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Youngkin Hates</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>2633</td>\n",
       "      <td>2022-09-28 20:01:00</td>\n",
       "      <td>2022-09-28 21:27:00</td>\n",
       "      <td>0 days 01:26:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Glenn Youngkin Is A Bot</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>1363</td>\n",
       "      <td>2022-09-28 20:08:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:17:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>This Policy Makes The Baby Jesus Cry</th>\n",
       "      <th>This will hurt kids.  Don't be mean, Youngkin!</th>\n",
       "      <td>1070</td>\n",
       "      <td>2022-09-28 20:11:00</td>\n",
       "      <td>2022-09-28 20:25:00</td>\n",
       "      <td>0 days 00:14:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                     count  \\\n",
       "Comment Title                        Comment                                                 \n",
       "Leave Trans Kids Alone               This will hurt kids.  Don't be mean, Youngkin!   4420   \n",
       "Strongly Oppose                      This will hurt kids.  Don't be mean, Youngkin!   4224   \n",
       "Youngkin Hates                       This will hurt kids.  Don't be mean, Youngkin!   2633   \n",
       "Glenn Youngkin Is A Bot              This will hurt kids.  Don't be mean, Youngkin!   1363   \n",
       "This Policy Makes The Baby Jesus Cry This will hurt kids.  Don't be mean, Youngkin!   1070   \n",
       "\n",
       "                                                                                               min_date  \\\n",
       "Comment Title                        Comment                                                              \n",
       "Leave Trans Kids Alone               This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:01:00   \n",
       "Strongly Oppose                      This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 19:42:00   \n",
       "Youngkin Hates                       This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:01:00   \n",
       "Glenn Youngkin Is A Bot              This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:08:00   \n",
       "This Policy Makes The Baby Jesus Cry This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:11:00   \n",
       "\n",
       "                                                                                               max_date  \\\n",
       "Comment Title                        Comment                                                              \n",
       "Leave Trans Kids Alone               This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Strongly Oppose                      This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Youngkin Hates                       This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 21:27:00   \n",
       "Glenn Youngkin Is A Bot              This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "This Policy Makes The Baby Jesus Cry This will hurt kids.  Don't be mean, Youngkin! 2022-09-28 20:25:00   \n",
       "\n",
       "                                                                                              range  \n",
       "Comment Title                        Comment                                                         \n",
       "Leave Trans Kids Alone               This will hurt kids.  Don't be mean, Youngkin! 0 days 01:26:00  \n",
       "Strongly Oppose                      This will hurt kids.  Don't be mean, Youngkin! 0 days 01:45:00  \n",
       "Youngkin Hates                       This will hurt kids.  Don't be mean, Youngkin! 0 days 01:26:00  \n",
       "Glenn Youngkin Is A Bot              This will hurt kids.  Don't be mean, Youngkin! 0 days 00:17:00  \n",
       "This Policy Makes The Baby Jesus Cry This will hurt kids.  Don't be mean, Youngkin! 0 days 00:14:00  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon_dups.sort_values('count', ascending=False).head(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9e432ed6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24986\n"
     ]
    }
   ],
   "source": [
    "# drop duplicates from Anon set\n",
    "anon.set_index(['Comment Title','Comment'], inplace=True)\n",
    "print(anon.loc[anon.index.isin(anon_dups.index)].shape[0]) # number of duplicates entered by bots ~18000\n",
    "anon = anon.loc[~anon.index.isin(anon_dups.index)]\n",
    "anon.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ff93fe1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2fca26e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anon_ts = anon.set_index('Date').groupby([pd.Grouper(freq='1h'), 'merged']).count().loc[:,['Comment']].reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "sns.lineplot(x = 'Date', y = 'Comment', data = anon_ts, hue = 'merged', ax=ax)\n",
    "fig.suptitle('Anonymous comments on Youngkin school trans policy', fontsize=14)\n",
    "ax.set_title('(bots removed)')\n",
    "plt.savefig(\"images/anon_ts_nobots.png\", facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "488002e6",
   "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>Comment Title</th>\n",
       "      <th>Comment</th>\n",
       "      <th>CommentID</th>\n",
       "      <th>Commenter</th>\n",
       "      <th>Date</th>\n",
       "      <th>label</th>\n",
       "      <th>pred</th>\n",
       "      <th>merged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7233</th>\n",
       "      <td>Support Trans and Non-Binary Kids</td>\n",
       "      <td>Life is difficult enough to navigate.  Imagine...</td>\n",
       "      <td>201595.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:02:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7235</th>\n",
       "      <td>Support!</td>\n",
       "      <td>The new policies honor the sacred role of pare...</td>\n",
       "      <td>201607.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:04:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7236</th>\n",
       "      <td>Support trans kids</td>\n",
       "      <td>Support policies like these and suicide/self-h...</td>\n",
       "      <td>201609.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:05:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7237</th>\n",
       "      <td>I support new pro-parent policies proposed by ...</td>\n",
       "      <td>The new policies honor the sacred role of pare...</td>\n",
       "      <td>201614.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:05:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7242</th>\n",
       "      <td>Strongly support Gov. Younkins policy</td>\n",
       "      <td>Students are minors and parents have rights. S...</td>\n",
       "      <td>201645.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:12:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7244</th>\n",
       "      <td>Support The model Policies 2022</td>\n",
       "      <td>Support The model Policies 2022</td>\n",
       "      <td>201649.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:13:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7245</th>\n",
       "      <td>Strongly support</td>\n",
       "      <td>Thank you for standing for the constitution an...</td>\n",
       "      <td>201653.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:14:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7246</th>\n",
       "      <td>Strongly support</td>\n",
       "      <td>The new policies honor the sacred role of pare...</td>\n",
       "      <td>201656.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:14:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7249</th>\n",
       "      <td>Support</td>\n",
       "      <td>I support parent’s rights until the child turn...</td>\n",
       "      <td>201675.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:18:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7251</th>\n",
       "      <td>SUPPORT 2022 Trans Gender Policy</td>\n",
       "      <td>I believe the parents have the right to be inf...</td>\n",
       "      <td>201682.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:19:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7252</th>\n",
       "      <td>Strongly Support Gov Youngkin's Policy on tran...</td>\n",
       "      <td>Need to recognize the distinct differences bet...</td>\n",
       "      <td>201684.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:19:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7255</th>\n",
       "      <td>Absolutely Support!!!</td>\n",
       "      <td>Of course the school should not force actions,...</td>\n",
       "      <td>201695.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:21:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7263</th>\n",
       "      <td>Support the framework of this policy</td>\n",
       "      <td>The policy is, at the core, fundamentally soun...</td>\n",
       "      <td>201735.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:27:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7266</th>\n",
       "      <td>Strongly support the guidance document</td>\n",
       "      <td>I support the guidance document, especially on...</td>\n",
       "      <td>201745.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:28:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7267</th>\n",
       "      <td>I Support 2022 Policy because people have forg...</td>\n",
       "      <td>I Support 2022 Policy because people have forg...</td>\n",
       "      <td>201748.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:28:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7268</th>\n",
       "      <td>Supported!</td>\n",
       "      <td>Strongly Support This!</td>\n",
       "      <td>201750.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:28:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7269</th>\n",
       "      <td>Strongly support Gov. Youngkin!</td>\n",
       "      <td>Parents are responsible for their children up ...</td>\n",
       "      <td>201753.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:29:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7271</th>\n",
       "      <td>Support Policy! Transgender athletes’ victorie...</td>\n",
       "      <td>I Support 2022 Policy because people have forg...</td>\n",
       "      <td>201757.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:29:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7272</th>\n",
       "      <td>Strongly support policy;</td>\n",
       "      <td>I strongly support this policy update; it corr...</td>\n",
       "      <td>201759.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:30:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7273</th>\n",
       "      <td>Support parental rights</td>\n",
       "      <td>Support</td>\n",
       "      <td>201760.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-10-26 20:30:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Comment Title  \\\n",
       "7233                  Support Trans and Non-Binary Kids   \n",
       "7235                                           Support!   \n",
       "7236                                 Support trans kids   \n",
       "7237  I support new pro-parent policies proposed by ...   \n",
       "7242              Strongly support Gov. Younkins policy   \n",
       "7244                    Support The model Policies 2022   \n",
       "7245                                   Strongly support   \n",
       "7246                                   Strongly support   \n",
       "7249                                            Support   \n",
       "7251                   SUPPORT 2022 Trans Gender Policy   \n",
       "7252  Strongly Support Gov Youngkin's Policy on tran...   \n",
       "7255                              Absolutely Support!!!   \n",
       "7263               Support the framework of this policy   \n",
       "7266             Strongly support the guidance document   \n",
       "7267  I Support 2022 Policy because people have forg...   \n",
       "7268                                         Supported!   \n",
       "7269                    Strongly support Gov. Youngkin!   \n",
       "7271  Support Policy! Transgender athletes’ victorie...   \n",
       "7272                           Strongly support policy;   \n",
       "7273                            Support parental rights   \n",
       "\n",
       "                                                Comment  CommentID  Commenter  \\\n",
       "7233  Life is difficult enough to navigate.  Imagine...   201595.0  Anonymous   \n",
       "7235  The new policies honor the sacred role of pare...   201607.0  Anonymous   \n",
       "7236  Support policies like these and suicide/self-h...   201609.0  Anonymous   \n",
       "7237  The new policies honor the sacred role of pare...   201614.0  Anonymous   \n",
       "7242  Students are minors and parents have rights. S...   201645.0  Anonymous   \n",
       "7244                    Support The model Policies 2022   201649.0  Anonymous   \n",
       "7245  Thank you for standing for the constitution an...   201653.0  Anonymous   \n",
       "7246  The new policies honor the sacred role of pare...   201656.0  Anonymous   \n",
       "7249  I support parent’s rights until the child turn...   201675.0  Anonymous   \n",
       "7251  I believe the parents have the right to be inf...   201682.0  Anonymous   \n",
       "7252  Need to recognize the distinct differences bet...   201684.0  Anonymous   \n",
       "7255  Of course the school should not force actions,...   201695.0  Anonymous   \n",
       "7263  The policy is, at the core, fundamentally soun...   201735.0  Anonymous   \n",
       "7266  I support the guidance document, especially on...   201745.0  Anonymous   \n",
       "7267  I Support 2022 Policy because people have forg...   201748.0  Anonymous   \n",
       "7268                             Strongly Support This!   201750.0  Anonymous   \n",
       "7269  Parents are responsible for their children up ...   201753.0  Anonymous   \n",
       "7271  I Support 2022 Policy because people have forg...   201757.0  Anonymous   \n",
       "7272  I strongly support this policy update; it corr...   201759.0  Anonymous   \n",
       "7273                                            Support   201760.0  Anonymous   \n",
       "\n",
       "                    Date    label pred   merged  \n",
       "7233 2022-10-26 20:02:00  Support       Support  \n",
       "7235 2022-10-26 20:04:00  Support       Support  \n",
       "7236 2022-10-26 20:05:00  Support       Support  \n",
       "7237 2022-10-26 20:05:00  Support       Support  \n",
       "7242 2022-10-26 20:12:00  Support       Support  \n",
       "7244 2022-10-26 20:13:00  Support       Support  \n",
       "7245 2022-10-26 20:14:00  Support       Support  \n",
       "7246 2022-10-26 20:14:00  Support       Support  \n",
       "7249 2022-10-26 20:18:00  Support       Support  \n",
       "7251 2022-10-26 20:19:00  Support       Support  \n",
       "7252 2022-10-26 20:19:00  Support       Support  \n",
       "7255 2022-10-26 20:21:00  Support       Support  \n",
       "7263 2022-10-26 20:27:00  Support       Support  \n",
       "7266 2022-10-26 20:28:00  Support       Support  \n",
       "7267 2022-10-26 20:28:00  Support       Support  \n",
       "7268 2022-10-26 20:28:00  Support       Support  \n",
       "7269 2022-10-26 20:29:00  Support       Support  \n",
       "7271 2022-10-26 20:29:00  Support       Support  \n",
       "7272 2022-10-26 20:30:00  Support       Support  \n",
       "7273 2022-10-26 20:30:00  Support       Support  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon.loc[(anon['merged']=='Support') & (anon['Date'] > datetime(2022, 10, 26, 20, 0)) ].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "ea562bc0",
   "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>Comment Title</th>\n",
       "      <th>Comment</th>\n",
       "      <th>CommentID</th>\n",
       "      <th>Commenter</th>\n",
       "      <th>Date</th>\n",
       "      <th>label</th>\n",
       "      <th>pred</th>\n",
       "      <th>merged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Support!</td>\n",
       "      <td>As a public school teacher, THANK YOU! I don't...</td>\n",
       "      <td>128971.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-26 07:31:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Strongly support all people being who they are</td>\n",
       "      <td>Everyone is different. Everyone deserves to be...</td>\n",
       "      <td>128976.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-26 07:38:00</td>\n",
       "      <td>Support</td>\n",
       "      <td></td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>This is about saving student lives - oppose th...</td>\n",
       "      <td>I strongly oppose these changes. Having worked...</td>\n",
       "      <td>128984.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-26 07:54:00</td>\n",
       "      <td>Oppose</td>\n",
       "      <td></td>\n",
       "      <td>Oppose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Strongly Oppose The Changes</td>\n",
       "      <td>Correct pronoun and name use is incredibly cri...</td>\n",
       "      <td>128992.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-26 08:12:00</td>\n",
       "      <td>Oppose</td>\n",
       "      <td></td>\n",
       "      <td>Oppose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Strongly Oppose</td>\n",
       "      <td>Leave the evangelists to do their Work outside...</td>\n",
       "      <td>128998.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-26 08:18:00</td>\n",
       "      <td>Oppose</td>\n",
       "      <td></td>\n",
       "      <td>Oppose</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7112</th>\n",
       "      <td>Trans people</td>\n",
       "      <td>I feel that trans people should be able to dec...</td>\n",
       "      <td>181340.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-29 19:49:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Oppose</td>\n",
       "      <td>Oppose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7113</th>\n",
       "      <td>Best practice</td>\n",
       "      <td>As a professional educator, this is a very sim...</td>\n",
       "      <td>181348.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-29 19:52:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7114</th>\n",
       "      <td>100% agree with Governor Youngkin‘s policies o...</td>\n",
       "      <td>Honest doctors know that gender dysphoria is s...</td>\n",
       "      <td>181382.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-29 20:13:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7115</th>\n",
       "      <td>Duh, repeat post much?</td>\n",
       "      <td>Free for all</td>\n",
       "      <td>181396.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-29 20:20:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Oppose</td>\n",
       "      <td>Oppose</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7116</th>\n",
       "      <td>Transgender and non-binary youth need to be pr...</td>\n",
       "      <td>Transgender and non-binary youth need to be pr...</td>\n",
       "      <td>181403.0</td>\n",
       "      <td>Anonymous</td>\n",
       "      <td>2022-09-29 20:27:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Oppose</td>\n",
       "      <td>Oppose</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7117 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Comment Title  \\\n",
       "0                                              Support!   \n",
       "1        Strongly support all people being who they are   \n",
       "2     This is about saving student lives - oppose th...   \n",
       "3                           Strongly Oppose The Changes   \n",
       "4                                       Strongly Oppose   \n",
       "...                                                 ...   \n",
       "7112                                       Trans people   \n",
       "7113                                      Best practice   \n",
       "7114  100% agree with Governor Youngkin‘s policies o...   \n",
       "7115                             Duh, repeat post much?   \n",
       "7116  Transgender and non-binary youth need to be pr...   \n",
       "\n",
       "                                                Comment  CommentID  Commenter  \\\n",
       "0     As a public school teacher, THANK YOU! I don't...   128971.0  Anonymous   \n",
       "1     Everyone is different. Everyone deserves to be...   128976.0  Anonymous   \n",
       "2     I strongly oppose these changes. Having worked...   128984.0  Anonymous   \n",
       "3     Correct pronoun and name use is incredibly cri...   128992.0  Anonymous   \n",
       "4     Leave the evangelists to do their Work outside...   128998.0  Anonymous   \n",
       "...                                                 ...        ...        ...   \n",
       "7112  I feel that trans people should be able to dec...   181340.0  Anonymous   \n",
       "7113  As a professional educator, this is a very sim...   181348.0  Anonymous   \n",
       "7114  Honest doctors know that gender dysphoria is s...   181382.0  Anonymous   \n",
       "7115                                       Free for all   181396.0  Anonymous   \n",
       "7116  Transgender and non-binary youth need to be pr...   181403.0  Anonymous   \n",
       "\n",
       "                    Date    label     pred   merged  \n",
       "0    2022-09-26 07:31:00  Support           Support  \n",
       "1    2022-09-26 07:38:00  Support           Support  \n",
       "2    2022-09-26 07:54:00   Oppose            Oppose  \n",
       "3    2022-09-26 08:12:00   Oppose            Oppose  \n",
       "4    2022-09-26 08:18:00   Oppose            Oppose  \n",
       "...                  ...      ...      ...      ...  \n",
       "7112 2022-09-29 19:49:00  Unknown   Oppose   Oppose  \n",
       "7113 2022-09-29 19:52:00  Unknown  Support  Support  \n",
       "7114 2022-09-29 20:13:00  Unknown  Support  Support  \n",
       "7115 2022-09-29 20:20:00  Unknown   Oppose   Oppose  \n",
       "7116 2022-09-29 20:27:00  Unknown   Oppose   Oppose  \n",
       "\n",
       "[7117 rows x 8 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9a35b9cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicates removed: 33304\n",
      "Remaining records: 37994\n"
     ]
    }
   ],
   "source": [
    "# drop duplicates from Output set\n",
    "dups = output_df.groupby(['Comment Title','Comment']).count().loc[:,['CommentID']]\n",
    "dups = dups.loc[dups['CommentID']>5] # 396 comments\n",
    "output_df.set_index(['Comment Title','Comment'], inplace=True)\n",
    "print(f\"Duplicates removed: {output_df.loc[output_df.index.isin(dups.index)].shape[0]}\") \n",
    "output_df = output_df.loc[~output_df.index.isin(dups.index)]\n",
    "output_df.reset_index(inplace=True)\n",
    "print(f\"Remaining records: {output_df.shape[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2bf389f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_df['merged'] = output_df['pred'].replace('',np.NaN).fillna(output_df['label'])\n",
    "out_ts = output_df.set_index('Date').groupby([pd.Grouper(freq='1h'), 'merged']).count().loc[:,['Comment']].reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "sns.lineplot(x = 'Date', y = 'Comment', data = out_ts, hue = 'merged', ax=ax)\n",
    "fig.suptitle('All comments on Youngkin school trans policy', fontsize=14)\n",
    "ax.set_title('(duplicates removed)')\n",
    "plt.savefig(\"images/all_ts.png\", facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b2233b3b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vEXVf8F2iU+adqm0TyZZFt5w7nujMw8UJhyOBEjIRkWT1JzpdeyhRh7nziRqa6/SF5Eq6w9i73P2RpIORiE5ZioiIiCRMjfpFREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREEqaETERERCRhSshEREREElaadAAHYujQoT5mzJikwxARERHp0JIlS7a5+7BMwwo6IRszZgyLFy9OOgwRERGRDpnZ+raG6ZSliIiISMKUkImIiIgkTAmZiIiISMIKug1ZJnV1dVRWVlJTU5N0KHmtoqKCUaNG0atXr6RDERERKXo9LiGrrKykf//+jBkzBjNLOpy85O5s376dyspKxo4dm3Q4IiIiRa/HnbKsqalhyJAhSsbaYWYMGTJEtYgiIiJ5osclZICSsSxoG4mIiOSPHpmQ9UTz58/nvPPOSzoMERERyQElZN2gvr4+6RBEREQkjykha8e6desYP348n/nMZ5g0aRKXX345TzzxBCeffDLjxo1j0aJFVFdX8+lPf5oTTjiBY489locffhiAu+++m4suuoiPfvSjnHnmmezZs4eLL76YKVOmcMkll3DiiSc23WXgscceY8aMGRx33HFcdNFFVFVVAfDoo48yfvx4TjnlFB588MHEtoOIiEhPsaxyJzuq9yUdxn563FWWXW3NmjX86le/Ys6cOZxwwgn84he/4Nlnn2XevHl885vfZMKECZx22mn89Kc/ZefOnUyfPp0Pf/jDACxYsIBly5YxePBgbr/9dgYNGsSyZct4+eWXmTp1KgDbtm3jG9/4Bk888QR9+/bltttu47vf/S5f+tKX+OxnP8tTTz3FkUceySWXXJLgVhAREekZrvjJQj518li+cMZRSYfSghKyDowdO5bJkycDMHHiRE4//XTMjMmTJ7Nu3ToqKyuZN28et99+OxBd5blhwwYAzjjjDAYPHgzAs88+y/XXXw/ApEmTmDJlCgDPPfccK1as4OSTTwZg3759zJgxg1WrVjF27FjGjRsHwBVXXMGcOXO6b8VFRER6oJq6RmrqGpIOYz9KyDpQXl7e9DqVSjW9T6VS1NfXU1JSwgMPPMDRRx/dYrqFCxfSt2/fpvfunnH+7s4ZZ5zBvffe26J86dKluhJSRESkizlOY2Pm3+QkqQ3ZATrrrLP4wQ9+0JRwvfjiixnHO+WUU7j//vsBWLFiBcuXLwfgpJNO4i9/+Qtr1qwBYM+ePaxevZrx48ezdu1aXn/9dYD9EjYRERHpPHfIw3xMCdmBuvnmm6mrq2PKlClMmjSJm2++OeN41157LVu3bmXKlCncdtttTJkyhYMOOohhw4Zx9913c9lllzFlyhROOukkVq1aRUVFBXPmzOHcc8/llFNOYfTo0d28ZiIiIj2PA41tnLVKkrV1Kq0QTJs2zdNXKqatXLmSY445JqGI2tbQ0EBdXR0VFRW8/vrrnH766axevZqysrLEYsrXbSUiIpIrh9/0CFecNJqvnz+p25dtZkvcfVqmYWpD1k327NnDrFmzqKurw9354Q9/mGgyJiIiUowaPT9ryJSQdZP+/fvTujZPREREup/akImIiIgkJN1MKx+ba+U0ITOzgWb2azNbZWYrzWyGmQ02s8fN7LXwPCg2/k1mtsbMXjWzs3IZm4iIiBSXdB7W2JhsHJnkuobse8Cj7j4eeD+wErgReNLdxwFPhveY2QTgUmAicDZwp5mV5Dg+ERERKRLperF8bEOWs4TMzAYApwJ3Abj7PnffCZwPzA2jzQUuCK/PB37p7rXuvhZYA0zPVXwiIiJSXNKnKoutDdnhwFbgZ2b2opn9xMz6Aoe4+yaA8HxwGH8k8GZs+spQVpBmz57NxIkTmTJlClOnTmXhwoWJxHHHHXewZ8+eRJYtIiKST4qyhozoCs7jgB+6+7FANeH0ZBsy3Sdovy1mZteY2WIzW7x169auibSLLViwgN/97ne88MILLFu2jCeeeIJDDz202+NoaGhQQiYiIhI0tSErsoSsEqh093TV0K+JErTNZjYcIDxviY0fz1pGARtbz9Td57j7NHefNmzYsJwFfyA2bdrE0KFDm+57OXToUEaMGMGYMWPYtm0bAIsXL2bmzJkA3HLLLVx55ZWcdtppjBs3jh//+McAzJ8/n1NPPZULL7yQCRMm8Pd///c0hpaI9957L5MnT2bSpEnccMMNTcvu168fX/nKVzjxxBOZPXs2GzduZNasWcyaNasbt4CIiEj+cYrwlKW7vw28aWbpu26fDqwA5gFXhbKrgIfD63nApWZWbmZjgXHAolzFl0tnnnkmb775JkcddRTXXnstzzzzTIfTLFu2jEceeYQFCxbw9a9/nY0bo1x00aJFfOc732H58uW8/vrrPPjgg2zcuJEbbriBp556iqVLl/L888/z0EMPAVBdXc2kSZNYuHAhX/nKVxgxYgRPP/00Tz/9dC5XWUREJO/lcw1ZrjuGvQ64x8zKgDeAvyNKAu83s6uBDcBFAO7+ipndT5S01QOfc/eGA1n41377Cis27jqQWexnwogBfPWjE9sdp1+/fixZsoQ///nPPP3001xyySXceuut7U5z/vnn07t3b3r37s2sWbNYtGgRAwcOZPr06Rx++OEAXHbZZTz77LP06tWLmTNnkq4hvPzyy/nTn/7EBRdcQElJCR//+Me7ZmVFRER6oHzshyynCZm7LwUy3bPp9DbGnw3MzmVM3aWkpISZM2cyc+ZMJk+ezNy5cyktLW065VhTU9NifDPL+D5TeXsHUkVFBSUl6i1ERESktXzuh6xH3zqpo5qsXHn11VdJpVKMGzcOgKVLlzJ69Gj27t3LkiVLOOecc3jggQdaTPPwww9z0003UV1dzfz587n11ltZvXo1ixYtYu3atYwePZr77ruPa665hhNPPJHrr7+ebdu2MWjQIO69916uu+66jLH079+f3bt3M3To0Jyvt4iISD5rbkNWZDVkxaqqqorrrruOnTt3UlpaypFHHsmcOXNYuXIlV199Nd/85jc58cQTW0wzffp0zj33XDZs2MDNN9/MiBEjWL16NTNmzODGG29k+fLlTQ38U6kU3/rWt5g1axbuzkc+8hHOP//8jLFcc801nHPOOQwfPlztyEREpKg1FnEbsqJ0/PHH89e//nW/8g9+8IOsXr064zRHHXUUc+bM2a+8T58+3HffffuVf/KTn+STn/zkfuVVVVUt3l933XVt1p6JiIgUk2LtGFZEREQkb+Rzx7CqIcsDt9xyS8by9EUBIiIicuCau71INo5MVEMmIiIixSEkYvnY7UWPTMjycUPnG20jEREpNvl8lWWPS8gqKirYvn27Eo52uDvbt2+noqIi6VBERES6jfoh60ajRo2isrKSfL3xeL6oqKhg1KhRSYchIiLSbdJVNQ15WGnT4xKyXr16MXbs2KTDEBERkTyTPnuWj2fRetwpSxEREZFMmru9SDSMjJSQiYiISFHwPO6pXwmZiIiIFIXmqywTDiQDJWQiIiJSHNQPmYiIiEiy8vnWSUrIREREpCikE7GGPOyHTAmZiIiIFAXXKUsRERGRZOmUpYiIiEjC0jVjuspSREREJCHqh0xEREQkT+RhPqaETERERIqDashEREREEpbuqb8hDxuRKSETERGRotDc7UWycWSihExERESKgrq9EBEREUlYc7cXSshEREREEtFcQ5ZoGBkpIRMREZGioFsniYiIiCRMPfWLiIiIJCydh6nbCxEREZGEFG3HsGa2zsyWm9lSM1scygab2eNm9lp4HhQb/yYzW2Nmr5rZWbmMTURERIpLumPYPMzHuqWGbJa7T3X3aeH9jcCT7j4OeDK8x8wmAJcCE4GzgTvNrKQb4hMREZEiULQ1ZG04H5gbXs8FLoiV/9Lda919LbAGmN794YmIiEhPVMwJmQOPmdkSM7smlB3i7psAwvPBoXwk8GZs2spQ1oKZXWNmi81s8datW3MYuoiIiPQk6VOWedimn9Icz/9kd99oZgcDj5vZqnbGtQxl+20yd58DzAGYNm1aHm5SERERyUdF2w+Zu28Mz1uA3xCdgtxsZsMBwvOWMHolcGhs8lHAxlzGJyIiIsWnqLq9MLO+ZtY//Ro4E3gZmAdcFUa7Cng4vJ4HXGpm5WY2FhgHLMpVfCIiIlJcmtuQJRtHJrk8ZXkI8BszSy/nF+7+qJk9D9xvZlcDG4CLANz9FTO7H1gB1AOfc/eGHMYnIiIiRcRjLaHcnZCj5IWcJWTu/gbw/gzl24HT25hmNjA7VzGJiIhI8Yo3HWt0KMmffEw99YuIiEhxiJ+pzLeuL5SQiYiISFGIX12phExEREQkAfHG/HmWjykhExERkWLRnIXlW9cXSshERESkKLRs1K+ETERERKTbtWzUn1gYGSkhExERkaLgLdqQ5VdGpoRMREREikLLqywTDCQDJWQiIiJSFNQPmYiIiEjCWjTqz7MqMiVkIiIiUhTi97LMs3xMCZmIiIgUCXV7ISIiIpIstSETERERSZjr1kkiIiIiyWrZhiy/MjIlZCIiIlIUGj3z63yghExERESKQrxjWN1cXERERCQB8RRMt04SERERSYJOWYqIiIgkS436RURERBLm6hhWREREJFnqh0xEREQkYeqpX0RERCRh6vZCREREJGEta8gSCyMjJWQiIiJSFFq2IcuvjEwJmYiIiBSJeLcXCYaRgRIyERERKQrq9kJEREQkYY1KyERERESSFe+pP8/ysdwnZGZWYmYvmtnvwvvBZva4mb0WngfFxr3JzNaY2atmdlauYxMREZHiEU/CirHbi+uBlbH3NwJPuvs44MnwHjObAFwKTATOBu40s5JuiE9ERESKQNF2DGtmo4BzgZ/Eis8H5obXc4ELYuW/dPdad18LrAGm5zI+ERERKR7xri7yLB/LeQ3ZHcCXgMZY2SHuvgkgPB8cykcCb8bGqwxlLZjZNWa22MwWb926NSdBi4iISM9WNDVkZnYesMXdl2Q7SYay/baWu89x92nuPm3YsGEHFKOIiIgUj5bdXiQXRyalOZz3ycDfmNlHgApggJn9P2CzmQ13901mNhzYEsavBA6NTT8K2JjD+ERERKSIeIuOYfMrI8tZDZm73+Tuo9x9DFFj/afc/QpgHnBVGO0q4OHweh5wqZmVm9lYYBywKFfxiYiISHHJ51sn5bKGrC23Aveb2dXABuAiAHd/xczuB1YA9cDn3L0hgfhERESkB2rZ7UVycWTSLQmZu88H5ofX24HT2xhvNjC7O2ISERGR4lK03V6IiIiI5Iv4aUolZCIiIiIJiKdgeZaPKSETERGRIqGbi4uIiIgkq7HFKcsEA8kgq4TMzE7OpkxEREQkX/WERv0/yLJMREREJC+16Kk/z6rI2u32wsxmAB8AhpnZF2KDBgAluQxMREREpCu17Kk/wUAy6KgfsjKgXxivf6x8F/CJXAUlIiIi0tU8jxv1t5uQufszwDNmdre7r++mmERERES6XMtuLwooIYspN7M5wJj4NO5+Wi6CEhEREelyeXyVZbYJ2a+AHwE/AXR/SRERESk4+XyVZbYJWb27/zCnkYiIiIjkUMs2ZMnFkUm23V781syuNbPhZjY4/chpZCIiIiJdqMW9LPMsI8u2huyq8PyvsTIHDu/acERERERyo+BPWbr72FwHIiIiIpJLBX/K0sz6mNmXw5WWmNk4Mzsvt6GJiIiIdJ18riHLtg3Zz4B9RL32A1QC38hJRCIiIiI5EG9Dlm/9kGWbkB3h7t8G6gDcfS9gOYtKREREpIsV/ClLYJ+Z9SbU9pnZEUBtzqISERER6WIt72WZXxlZtldZfhV4FDjUzO4BTgY+laugRERERLpaixqyPKsiy/Yqy8fN7AXgJKJTlde7+7acRiYiIiLShVo26k8sjIyyPWUJMBIoAcqAU83sY7kJSURERKTrtWxDll8ZWVY1ZGb2U2AK8ArQGIodeDBHcYmIiIh0qZZtyBIMJINs25Cd5O4TchqJiIiISA6lK8XMCrfbiwVmpoRMRERECl5pygrzlCUwlygpe5uouwsD3N2n5CwyERERkS6UrhVLmRXsKcufAlcCy2luQyYiIiJSMNKVYiUpoyHPMrJsE7IN7j4vp5GIiIiI5FA6BSsxy7s2ZNkmZKvM7BfAb4n10O/uuspSRERECkI6B0ulCveUZW+iROzMWJm6vRAREZGCke72oqRQG/W7+991dsZmVgH8CSgPy/m1u3/VzAYD9wFjgHXAxe6+I0xzE3A10AD8k7v/sbPLFREREckkXStWsI36zWwscB1REtU0jbv/TTuT1QKnuXuVmfUCnjWzPwAfA55091vN7EbgRuCG0K3GpcBEYATwhJkd5e4N72G9RERERFrydA1Z/vVDlu0py4eAu4jakGV1laVHa1oV3vYKDwfOB2aG8rnAfOCGUP5Ld68F1prZGmA6sCDLGEVERETa5ESdwpZYgZ6yBGrc/fudnbmZlQBLgCOB/3b3hWZ2iLtvAnD3TWZ2cBh9JPBcbPLKUCYiIiJywNyjjlTNjIY868Qr24Tse2b2VeAxWl5l+UJ7E4XTjVPNbCDwGzOb1M7olmkW+41kdg1wDcBhhx3WceQiIiIiRI36zYxUAZ+ynEzUMexptLy5+GnZTOzuO81sPnA2sNnMhofaseHAljBaJXBobLJRwMYM85oDzAGYNm1afm1NERERyVvpGrJUHp6yzPZelhcCh7v7h9x9Vni0m4yZ2bBQM4aZ9QY+DKwC5gFXhdGuAh4Or+cBl5pZebiIYBywqFNrIyIiItKGdBuygr3KEngJGEhzbVY2hgNzQzuyFHC/u//OzBYA95vZ1cAG4CIAd3/FzO4HVgD1wOd0haWIiIh0laiGzDAj72rIsk3IDiHqrf95WrYha7PbC3dfBhyboXw7cHob08wGZmcZk4iIiEjWnOicZcqMPMvHsk7IvprTKERERERyLbQhK9huL9z9GTM7BDghFC1y986cvhQRERFJVLoNmRk05Fkjsqwa9ZvZxUQN7C8CLgYWmtknchmYiIiISFdydwwr6Eb9/w6ckK4VM7NhwBPAr3MVmIiIiEhXcg9XWeZhP2TZdnuRanWKcnsnphURERFJXGMe90OWbQ3Zo2b2R+De8P4S4Pe5CUlERESk6zlOygwrtFOWZnYkcIi7/6uZfQw4hSi5XADc0w3xiYiIiHQJd0K3F/nXD1lHpx3vAHYDuPuD7v4Fd/9notqxO3IbmoiIiEjXSnd7kWf5WIcJ2ZjQwWsL7r4YGJOTiERERERywD3cXNys4Lq9qGhnWO+uDEREREQkl+L9kBXaKcvnzeyzrQvDfSiX5CYkERERka7nsass8ywf6/Aqy88DvzGzy2lOwKYBZcCFOYxLREREpEs54ZRlCuoa8isjazchc/fNwAfMbBYwKRQ/4u5P5TwyERERkS7khd4Pmbs/DTyd41hEREREcqa5DVn+9UOm3vZFRESkKESVYkaJFe6tk0REREQKnEf3sjSjQQmZiIiISPdLtyEzMxobk46mJSVkIiIiUhTcCTVkhdcPmYiIiEiP0OjRzcXzsR8yJWQiIiJSFMK9xUmlVEMmIiIikojolKWFbi+UkImIiIh0OydKwkp0ylJEREQkIbFG/er2QkRERCQB6Z768/HWSUrIREREpCi4O4apHzIRERGRpDTXkOnWSSIiIiKJSPfUn9LNxUVERESSEdWQmfohExEREUlK1IZMNWQiIiIiiXGAYrvK0swONbOnzWylmb1iZteH8sFm9riZvRaeB8WmucnM1pjZq2Z2Vq5iExERkSLU1IasuE5Z1gP/4u7HACcBnzOzCcCNwJPuPg54MrwnDLsUmAicDdxpZiU5jE9ERESKSPrm4lG3F0WSkLn7Jnd/IbzeDawERgLnA3PDaHOBC8Lr84Ffunutu68F1gDTcxWfiIiIFBf35o5h86yCrHvakJnZGOBYYCFwiLtvgihpAw4Oo40E3oxNVhnKRERERA6YE3UMW2ynLAEws37AA8Dn3X1Xe6NmKNtva5nZNWa22MwWb926tavCFBERkR6uqYYsVWRXWZpZL6Jk7B53fzAUbzaz4WH4cGBLKK8EDo1NPgrY2Hqe7j7H3ae5+7Rhw4blLngRERHpUdI5WLFdZWnAXcBKd/9ubNA84Krw+irg4Vj5pWZWbmZjgXHAolzFJyIiIsUlqiHLz1OWpTmc98nAlcByM1sayv4NuBW438yuBjYAFwG4+ytmdj+wgugKzc+5e0MO4xMREZGikr8dw+YsIXP3Z8ncLgzg9DammQ3MzlVMIiIiUryar7LMvxoy9dQvIiIiRSG6l2V02tI9upVSvlBCJiIiIkUhupelkTIL7xMOKEYJmYiIiBSFdA1ZKjSoyqfTlkrIREREpCh4+l6WISPLp4b9SshERESkKDiANZ+yVA2ZiIiISDeL2pDplKWIiIhIYtyjZKy5hizhgGKUkImIiEhRcBwzw1RDJiIiIpKMpkb96W4vGpONJ04JmYiIiBSFeE/9oBoyERERkW7nRB3DlqR0laWIiIhIItyBcOskgAYlZCIiIiLdK+RjunWSiIiISGLUhkxEREQkWek2ZOqHTERERCQh6assm/ohy6OMTAmZiIiIFAUnfcpSbchEREREEhHdy1LdXoiIiIgkJl1Dlj5lqW4vRERERLpZo0d9kDWfslRCJiIiItK93Fv0Q5ZHbfqVkImIiEhxaG7UH71XGzIRERGRbuYe9dSfvnVSY2Oy8cQpIRMREZGi4HhoQxa9Vw2ZiIiISDdL15Clu73Io3xMCZmIiIgUB/eWHcOq2wsRERGRbhalX9Z86yQlZCIiIiLdy91b3TpJCZmIiIhIt1M/ZCIiIiIJam5DFr1vzKOMLGcJmZn91My2mNnLsbLBZva4mb0WngfFht1kZmvM7FUzOytXcYmIiEhxcqKbi1uR1ZDdDZzdquxG4El3Hwc8Gd5jZhOAS4GJYZo7zawkh7GJiIhIkUnXkDV3e5E/GVnOEjJ3/xPwTqvi84G54fVc4IJY+S/dvdbd1wJrgOm5ik1ERESKjxO1H0ufsizmbi8OcfdNAOH54FA+EngzNl5lKBMRERHpEo2hZ9hiO2XZGZahLONmMrNrzGyxmS3eunVrjsMSERGRHsPTV1lGb4u5H7LNZjYcIDxvCeWVwKGx8UYBGzPNwN3nuPs0d582bNiwnAYrIiIiPYdDuJdlEbUha8M84Krw+irg4Vj5pWZWbmZjgXHAom6OTURERHowd2/ZD1ljsvHEleZqxmZ2LzATGGpmlcBXgVuB+83samADcBGAu79iZvcDK4B64HPu3pCr2ERERKT4RDVkkArVUfl0yjJnCZm7X9bGoNPbGH82MDtX8YiIiEhxc1dP/SIiIiKJcrxFG7J8qiFTQiYiIiJFwXWVpYiIiEiy3FE/ZCIiIiJJM5p76i/mbi9EREREEuHu0VWWakMmIiIikoxwxrLp5uL51A+ZEjIREREpCu5RP2SmRv0iIiIiyWh0J6VuL0RERESS09RTv66yFBEREUlGVCFm6odMREREJDke2pCphkxEREQkEa176lc/ZCIiIlJwFq97hweWVCYdxnuWbkPW3O2FEjIREREpMD94ag23Pboq6TDeM3fHsLw8ZVmadAAiIiKS/9ydZZU72VefR72pdlLzVZbR+3xq1K+ETERERDpUuWMvO/bUAdGpvlQ6qykgzW3I1A+ZiIiIFKDlb73b9HpPXUOCkbx30b0sTf2QiYiISGFaVtmckFXX1icYyXuXzr906yQREREpSMvf2tn0uqpAEzK8ZU/9eZSPKSETERGR9kUN+t/lfQMqgMKuITNM3V6IiIhI4Vm3fQ+7a+qZccQQoHBryNydVIurLJONJ04JmYiIiLRrWeVOAGYcHiVk1bWF2ai/MZyyTPdD1pBH5yyVkImIiEi7lle+S3lpimMPGwgU8ilLb0rGUqZbJ4mIiEgBWfbWu0wYMYCDevcCCvmUZdQPGUQN+3WVpYiIiBSEhkbnlbfeZcrIg+hbHvUnX7g1ZDRlZFFClmQ0LSkhExERkTat3VZF9b4GpowaSJ+yEswKNyHDo6ssIWpLphoyERERKQjpDmGnjDoIM6NvWSlVBdqoP2pDFr0uSZn6IRPpSgte384X7lvK7pq6pEMRkQJQ39DIKxvf5dGXN9GQT+es8tSyynfpU1bC4cP6AdC3vKRga8j2a0OWR/tfNxeXgrZzzz7+6ZcvsnV3LVt21/K/n55ekDe8FZHcead6Hy9u2MELG3bwwvqdvFS5kz37ohqeL555FBceN4oRB1U0XX0nLS2r3MmkEQc1dabat7yUqn0FmpDRfNsks/zq9kIJmRS0n/x5LdurarlqxmjmLljP/NVbOG38IUmHJSIJaWh0Vm/ezQsbdrBk/Q5e3LCTtduqgegU1YThA7jo+FEcN3oQjyzbxO2Preb2x1bz4WMO4XuXTm1qtC6RqDZxF1ecNLqprF95aQHXkHlTG7KU5dcpy7w78szsbOB7QAnwE3e/NeGQJI89sXIz08cO5svnTeCxFZu569m1nDb+ENydN9/Zy2FD+iQdoojk0M49+3hxw86o9mvDDl56892mLhmG9ivj2MMGcfG0QznusIFMGTWQ3mUlTdOecuRQhvQrp39FKT/+8xt8/6nXuOmcY5Jalbz02pYqausbmTLqoKayvmX5n5A1Njqvbt7N0Yf0b3HWJF5DlsqzRv15lZCZWQnw38AZQCXwvJnNc/cVScVUVVvPP937IpeccChnTXxfl83X3amtb6S6tp7SVIqD+vTqsnn3BH9avZW6hkZOPWoYvUoyN3V8a+deVr29m3/7yHh6laS46gNjuPUPq7jv+Q2s3lzFXc+uZc6Vx3PmxPexq6aOffWNTdMaMLhvGQC/XlLJ/Yvf5JxJw1n19i56laS44ZzxDKjYf5+4O3UNTllp5pjcnc27almx6V1eeWsXKzbtYsM7e7jo+FH0LS9lxhFDGDVISaLIe9HY6Ly2pYol63c0JWBvbG2u/Rr/vv5ceOxIjhs9kOMOG8Rhg/u0expySL9yvvWxyQBs3V3L3X9Zx+A+ZXz8+FEM7VfeLeuU75aHBv2TR8YSsvJS3tq5N2fL3FffiBltfve3p66hkd++tJEfPfM6qzdXceVJo/n6+RObjoN87ocsrxIyYDqwxt3fADCzXwLnA4klZN/6/UqeWrWFxeve4cmVm6ne10D/8lL6lpfSr7yU/hXRc7+KaFPurqlnd00dVTX17Kqpb3q/u6ae3bXhOZTVNTQfCMceNpCPHTeq6catHUknBtX76tlTW0/1vgb27KunuraB6tp69uxroLxXiplHH0zvXiUdzzA230aP/jU0NHrTc/Pr6Jx7Y2Or4U1l0fCGxkYaGskwfXyeZJjeeXdvHQvXvgNE/3DfP2ogg/uWMWHEAAb1KWNbVS1bd9ey/K3oi+K08QcD8OmTx/Ln17ZywwPLASgrSTH79yu5+6/r+Ovr2/db18OH9WVARS+WvrmTARWlPL9uR9OwexZuoF95KcP6lzOsXzmjBvVmwogBPP3qFl7ZuIsvnTWeYf2jL+yq2jpWbdrNik27eGXjLt6p3tc0nzFD+tC7rJRbfhsdwgMqSpk+djDlvUroX9587PSLvS4rSaktC9EX6449+9hRvY8de+rYUb2PXTX1pCz68U2ljNKUUWLNr1PhfUmq1SM2TknKSFl8fCgpSYXpoCSVoiRFGKf5tfZJMuobGln59m5e3LCDpRt2sjvUzAzuW8Zxhw3k48eN4rjDBvH+Qw+iT9l7/0n75w8fxRMrN/OtP6zioaUbuXbmEfz19W2MGtSHUYN6U13bQFVt9N2+u7aeqpp6qmrrOWRABf3KS1n/zh5GDuzNqEG9Gda/nFQXHS/uzt66BnbV1LNrbx27aurYtTd6XV6a4pjhAzhsSJ8uW15rj63YTP/yUsYM6dtU1q+8hG1VtTy+YnOXLafRnVff3s2C17fzwoYdpMyYNmYQJx0+hCMP7pfV+r35zh7uenYtb+3cy9GH9Oe8KcP5+XPrWbx+ByMHxn5bLd3thbHhnb1N6zGkXxnHHTaoy9apsyyfbhtgZp8Aznb3z4T3VwInuvs/Zhp/2rRpvnjx4pzFs357NbNun885k4fz1MotlJYYw/qXU1VTT3VIgtpiFp1nH1DRqylp619RSv/wvn+sfNfeOua9tJHXtlQdULwlKaNvWQl9y0vpU1bC9up97NyTzJWHzT+CNP0Yxn8Y0z+aLYZb84/lWRPfx4QRA3jwhUrWb9/D5l01bI8lOmWlKYb1K2famEHcccnUph/L6tp6Hlm2id5lJZSmjH+45wUOHdybC6eObEqgAGrqGpm/egu79tZzwbEjufDYkZx9x5846pD+fP7D43h+3Q627K5pulhg/fZqNu+qpaJXikMH9dlvX5WVpDjqff2YOPwgJowYwIQRAzhm+AD6lZfS2Og8s3or5b1S3PXntWx6t4aa+oamL/Q97RxHEulTVsKgPmX0D3984kl8fWNI5mPJf9PDncZGqG9szKsOIKVzUgZHv28Axx0W1XwdN3oQY4a0X/v1XjQ0On96bSufnbuY+kanb1nJft/zZtCvLPrz1Le8lA3v7KG+oZGRg3rz9rs1Lf5o50JZSYoBvXsxoHd02nDzrtqcLg9g5tHDuPvvpje9v/UPq/jRM693+XLMYMLwAZw4dgiN7jz3xnZWvb27U/M4fvQgrp15BLOOjv6o/2LRBua9tLHpFGtJyrjpnGOYccQQzvjuMy2+y1uvZy6Y2RJ3n5ZxWJ4lZBcBZ7VKyKa7+3Wxca4BrgE47LDDjl+/fn1OY1qyfgcThg+gqrae/hWlVMRqmxoaoxqq9A+rOyHZKqVvWWmnrvZzd97YVs3eTvw4l5ZE/cGkE7Dy0pY1K/vqG3lty+5ON1o0o43kqWWSFa+BSFnLhKuruTtbdteyu6aeYf3LGVBRmtWX8Vs79zJ8QEVWMe2qqaN3r5I2q8m3VdVSYka/ilJWb27eruWlKcYM7fueqteh5XG0u6aeuobGjicqAiUpY1CfMgb26dXic/depWt/6xsbaUzX5Da0SuRiSV66Nre+wfPqtEYxGjO0L/26sbH92+/WsK2qliMP7sc71fvYs6+efuW96FdRSp9eJS2+T3bV1FFX38iQfuU0NDpbdtewvWpfO3PvvIpeJQzoHf3Bb/1Z2FZVy9vv1nTp8lprvf331TeyenPnEqVsjBrUm4F9ylqUvVO9j41Znh7tXVbC4UP7Zp2ot553v/JSxgzt284UB66QErIZwC3uflZ4fxOAu38r0/i5riETERER6SrtJWT51jHs88A4MxtrZmXApcC8hGMSERERyam8atTv7vVm9o/AH4m6vfipu7+ScFgiIiIiOZVXCRmAu/8e+H3ScYiIiIh0l3w7ZSkiIiJSdJSQiYiIiCRMCZmIiIhIwpSQiYiIiCRMCZmIiIhIwpSQiYiIiCRMCZmIiIhIwvLq1kmdZWZbgdzezLK4DQW2JR2EANoX+Ub7I39oX+QP7YuOjXb3YZkGFHRCJrllZovbuueWdC/ti/yi/ZE/tC/yh/bFgdEpSxEREZGEKSETERERSZgSMmnPnKQDkCbaF/lF+yN/aF/kD+2LA6A2ZCIiIiIJUw2ZiIiISMKUkBUIMzvUzJ42s5Vm9oqZXR/KB5vZ42b2WngeFMrPMLMlZrY8PJ8WyvuY2SNmtirM59Z2ljnbzN40s6pW5eVmdp+ZrTGzhWY2po3p2xzPzG4zs5fD45ID30Ldq0D3x6lm9oKZ1ZvZJ2Llo0NMS0MMf98Fm6jb9LB9MSvsh/SjxswuOPCt1H0KdH98wcxWmNkyM3vSzEbHhj1qZjvN7HddsHm6VQ/cFw2xz8a8LthE+cXd9SiABzAcOC687g+sBiYA3wZuDOU3AreF18cCI8LrScBb4XUfYFZ4XQb8GTinjWWeFJZb1ar8WuBH4fWlwH1tTJ9xPOBc4HGgFOgLLAYGJL2Ni2B/jAGmAP8LfCJWXgaUh9f9gHXpWAvh0ZP2RatxBgPvAH2S3sZFsD9mpbcz8A/x8YDTgY8Cv0t622pftJxnT3skHoAe73HHwcPAGcCrwPBQNhx4NcO4Bmwn/Oi2GvY94LMdLKv1B+uPwIzwupSoI0DLMF3G8YB/Bb4cG+8u4OKkt2lP3x+x8e+m7SRgCLCBAkrIevC+uAa4J+ntWUz7I4x3LPCXVmUzKcCErKfti9bz7GkPnbIsQKGq91hgIXCIu28CCM8HZ5jk48CL7l7baj4Dif75PdnJEEYCb4Zl1gPvEv2QZzveS8A5oRp8KNE/okM7GUPeKKD90aZwamNZmM9t7r6xkzHkhZ6wL2IuBe59j9PmhQLdH1cDf+jkcvJeD9kXFWa22MyeK7RT+dkoTToA6Rwz6wc8AHze3XeZWUfjTwRuA85sVV5K9GX/fXd/o7NhZCjLdLluxvHc/TEzOwH4K7AVWADUdzKGvFBg+6NN7v4mMMXMRgAPmdmv3X1zJ+NIVE/ZFyGG4cBkolqFglSI+8PMrgCmAR/q5HLyWg/aF4e5+0YzOxx4ysyWu/vrnYwjb6mGrICYWS+iD9U97v5gKN4cvrzTX+JbYuOPAn4D/G2Gg3YO8Jq73xHGLYk1lvx6B6FUEmq0wgf0IOCd0JhzqZktbW88AHef7e5T3f0Mog/qa53bGskrwP3RoVAz9grwwWynyQc9cF9cDPzG3euyHD+vFOL+MLMPA/8O/E3rWqFC1pP2RbrmPiSD84lq/HqOpM+Z6pHdgyhp+V/gjlbl/0nLxpnfDq8HEp0a/HiGeX2D6AOaynLZrdsCfI6WjTPvb2O6jOMBJcCQ8HoK8DJQmvQ27un7Izb+3bRs1D8K6B1eDyJq+Ds56W1cjPsiVv4coRF1oT0KcX8Q/bC/DoxrY/hMCrANWU/aF+G7KX3x0VCiP/ETkt7GXbq/kg5Ajyx3FJxCVL27DFgaHh8hOgf/ZDg4nwQGh/G/DFTHxl1K1E5gVJjPylj5Z9pY5reJ/tU0hudbQnkF8CtgDbAIOLyN6TOOF8pXhMdzwNSkt2+R7I8TwnTVRI11XwnlZ4T1eCk8X5P09i3WfRGGjQHeIssfvnx7FOj+eALYHFvOvNiwPxM1rdgb5n1W0tu4GPcF8AFgOdH31HLg6qS3b1c/1FO/iIiISMLUhkxEREQkYUrIRERERBKmhExEREQkYUrIRERERBKmhExEREQkYUrIRKQomFlD6IDyFTN7ycy+YGbtfgea2Rgz+2R3xSgixUsJmYgUi70e3R1iIlHfax8BvtrBNGMAJWQiknPqh0xEioKZVbl7v9j7w4HniXr9Hg38HOgbBv+ju//VzJ4DjgHWAnOB7wO3EvXcXg78t7v/T7ethIj0WErIRKQotE7IQtkOYDywG2h09xozGwfc6+7TzGwm8EV3Py+Mfw1wsLt/w8zKgb8AF7n72u5cFxHpeUqTDkBEJEEWnnsB/2VmU4EG4Kg2xj8TmGJmnwjvDwLGEdWgiYi8Z0rIRKQohVOWDcAWorZkm4H3E7WtrWlrMuA6d/9jtwQpIkVDjfpFpOiY2TDgR8B/edRu4yBgk7s3AlcCJWHU3UD/2KR/BP7BzHqF+RxlZn0RETlAqiETkWLR28yWEp2erCdqxP/dMOxO4AEzuwh4GqgO5cuAejN7Cbgb+B7RlZcvmJkBW4ELuid8EenJ1KhfREREJGE6ZSkiIiKSMCVkIiIiIglTQiYiIiKSMCVkIiIiIglTQiYiIiKSMCVkIiIiIglTQiYiIiKSMCVkIiIiIgn7/5c9akrCvKlXAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# peak at 2022-10-26 17:00\n",
    "#output_df.loc[output_df['Date'].between(datetime(2022, 10, 26, 17, 0), datetime(2022, 10, 26, 18, 0)) & (output_df['merged']=='Support')]\n",
    "p2a = output_df.loc[output_df['Comment Title']=='Protect Emotionally Vulnerable Children and Parental Rights!']\n",
    "p2s_ts = p2a.set_index('Date').groupby([pd.Grouper(freq='1h'), 'merged']).count().loc[:,['Comment']].reset_index()\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "sns.lineplot(x = 'Date', y = 'Comment', data = p2s_ts, hue = 'merged', ax=ax)\n",
    "fig.suptitle('Phone2Action comments on Youngkin school trans policy', fontsize=14)\n",
    "#ax.set_title('(duplicates removed)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f96765e1",
   "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>Comment Title</th>\n",
       "      <th>Comment</th>\n",
       "      <th>CommentID</th>\n",
       "      <th>Commenter</th>\n",
       "      <th>Date</th>\n",
       "      <th>label</th>\n",
       "      <th>pred</th>\n",
       "      <th>merged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36470</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>200217.0</td>\n",
       "      <td>Susan Botkin</td>\n",
       "      <td>2022-10-26 17:11:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36471</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>200216.0</td>\n",
       "      <td>Michelle Lancaster</td>\n",
       "      <td>2022-10-26 17:11:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36472</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>200219.0</td>\n",
       "      <td>Charles Nancy Carver</td>\n",
       "      <td>2022-10-26 17:11:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36473</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>200218.0</td>\n",
       "      <td>Donna House</td>\n",
       "      <td>2022-10-26 17:11:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36474</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>200220.0</td>\n",
       "      <td>Debbie McKibbin</td>\n",
       "      <td>2022-10-26 17:11:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37164</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>201078.0</td>\n",
       "      <td>Barbara Eller</td>\n",
       "      <td>2022-10-26 17:50:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37165</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>201079.0</td>\n",
       "      <td>E Marie Sobien</td>\n",
       "      <td>2022-10-26 17:51:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37166</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>201081.0</td>\n",
       "      <td>Richard Van Buskirk</td>\n",
       "      <td>2022-10-26 17:51:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37167</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>201082.0</td>\n",
       "      <td>Tony Key</td>\n",
       "      <td>2022-10-26 17:51:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37168</th>\n",
       "      <td>Protect Emotionally Vulnerable Children and Pa...</td>\n",
       "      <td>Dear Virginia Dept of Education,&lt;br /&gt;&lt;br /&gt;Sc...</td>\n",
       "      <td>201084.0</td>\n",
       "      <td>Kathleen Petz</td>\n",
       "      <td>2022-10-26 17:51:00</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>Support</td>\n",
       "      <td>Support</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>633 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Comment Title  \\\n",
       "36470  Protect Emotionally Vulnerable Children and Pa...   \n",
       "36471  Protect Emotionally Vulnerable Children and Pa...   \n",
       "36472  Protect Emotionally Vulnerable Children and Pa...   \n",
       "36473  Protect Emotionally Vulnerable Children and Pa...   \n",
       "36474  Protect Emotionally Vulnerable Children and Pa...   \n",
       "...                                                  ...   \n",
       "37164  Protect Emotionally Vulnerable Children and Pa...   \n",
       "37165  Protect Emotionally Vulnerable Children and Pa...   \n",
       "37166  Protect Emotionally Vulnerable Children and Pa...   \n",
       "37167  Protect Emotionally Vulnerable Children and Pa...   \n",
       "37168  Protect Emotionally Vulnerable Children and Pa...   \n",
       "\n",
       "                                                 Comment  CommentID  \\\n",
       "36470  Dear Virginia Dept of Education,<br /><br />Sc...   200217.0   \n",
       "36471  Dear Virginia Dept of Education,<br /><br />Sc...   200216.0   \n",
       "36472  Dear Virginia Dept of Education,<br /><br />Sc...   200219.0   \n",
       "36473  Dear Virginia Dept of Education,<br /><br />Sc...   200218.0   \n",
       "36474  Dear Virginia Dept of Education,<br /><br />Sc...   200220.0   \n",
       "...                                                  ...        ...   \n",
       "37164  Dear Virginia Dept of Education,<br /><br />Sc...   201078.0   \n",
       "37165  Dear Virginia Dept of Education,<br /><br />Sc...   201079.0   \n",
       "37166  Dear Virginia Dept of Education,<br /><br />Sc...   201081.0   \n",
       "37167  Dear Virginia Dept of Education,<br /><br />Sc...   201082.0   \n",
       "37168  Dear Virginia Dept of Education,<br /><br />Sc...   201084.0   \n",
       "\n",
       "                  Commenter                Date    label     pred   merged  \n",
       "36470          Susan Botkin 2022-10-26 17:11:00  Unknown  Support  Support  \n",
       "36471    Michelle Lancaster 2022-10-26 17:11:00  Unknown  Support  Support  \n",
       "36472  Charles Nancy Carver 2022-10-26 17:11:00  Unknown  Support  Support  \n",
       "36473           Donna House 2022-10-26 17:11:00  Unknown  Support  Support  \n",
       "36474       Debbie McKibbin 2022-10-26 17:11:00  Unknown  Support  Support  \n",
       "...                     ...                 ...      ...      ...      ...  \n",
       "37164         Barbara Eller 2022-10-26 17:50:00  Unknown  Support  Support  \n",
       "37165        E Marie Sobien 2022-10-26 17:51:00  Unknown  Support  Support  \n",
       "37166   Richard Van Buskirk 2022-10-26 17:51:00  Unknown  Support  Support  \n",
       "37167              Tony Key 2022-10-26 17:51:00  Unknown  Support  Support  \n",
       "37168         Kathleen Petz 2022-10-26 17:51:00  Unknown  Support  Support  \n",
       "\n",
       "[633 rows x 8 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2a.loc[p2a['Date'].between(datetime(2022, 10, 26, 17, 0), datetime(2022, 10, 26, 18, 0))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "6ec59392",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Dear Virginia Dept of Education,<br /><br />Schools should never secretly socially transition students and keep the child\\'s new name, pronouns and gender identities from parents. I am pleased and relieved that the Virginia Department of Education\\'s revised model policies support parental rights and ensure that school employees don\\'t cut parents out of critical decisions for their children.<br /><br />The Virginia Department of Education (VDOE) issued \"model policies\" in 2021 that encouraged every school district in Virginia to hide a child\\'s new gender identity from parents who choose to affirm the child\\'s biological sex. Under Governor Youngkin\\'s leadership, the VDOE\\'s revised policies make it clear that all children should be valued and parents\\' rights and beliefs should be respected. The 2022 Model Policies on the Privacy, Dignity, and Respect for all Students and Parents in Virginia\\'s Public Schools keep parents involved in major decisions in their children\\'s lives.<br /><br />The 2021 VDOE \"model policies\" encouraged schools to create \"a plan (that) may include addressing the student at school with their name and pronoun consistent with their gender identity while using the legal name and pronoun associated with the sex assigned at birth when communicating with parents or guardians.\"<br /><br />I strongly support the revised policies that end this practice. Virginia schools should not drive a wedge between parents and their emotionally vulnerable children. Virginia school districts, including those who have already communicated their plans to ignore the 2022 revised model policies, should put an end to secret Gender Support Plans now.<br /><br />Sincerely,<br />Michelle Lancaster<br />Dixons Mills, AL 36736<br /><img src=\"http://admin.phone2action.com/email/open/leg/657523/148815779\" width=\"1\" height=\"1\" />'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_df.iloc[36471]['Comment']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0f7baf72",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = output_df.groupby('merged')['CommentID'].count()\n",
    "data = counts.values\n",
    "labels = list(counts.index)\n",
    "\n",
    "\n",
    "output_orig = train.loc[:,['CommentID','Commenter','Comment Title','Comment','Date','label','pred']]\n",
    "output_orig = output_orig.append(unk.loc[:,['CommentID','Commenter','Comment Title','Comment','Date','label','pred']])\n",
    "output_orig['merged'] = output_orig['pred'].replace('',np.NaN).fillna(output_orig['label'])\n",
    "counts2 = output_orig.groupby('merged')['CommentID'].count()\n",
    "data2 = counts2.values\n",
    "labels2 = list(counts2.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e778b276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def make_autopct(values):\n",
    "    def my_autopct(pct):\n",
    "        total = sum(values)\n",
    "        val = int(round(pct*total/100.0))\n",
    "        return '{p:.0f}%  ({v:d})'.format(p=pct,v=val)\n",
    "    return my_autopct\n",
    "\n",
    "\n",
    "#define Seaborn color palette to use\n",
    "colors = sns.color_palette('pastel')[0:5]\n",
    "\n",
    "#create pie chart\n",
    "fig, (ax1,ax2) = plt.subplots(1,2, figsize=(10,5))\n",
    "fig.suptitle('Predicted comments on Youngkin school trans policy', fontsize=14)\n",
    "\n",
    "ax1.pie(data, labels = labels, colors = colors, autopct=make_autopct(data))\n",
    "ax1.set_title('Bots removed')\n",
    "\n",
    "ax2.pie(data2, labels = labels2, colors = colors, autopct=make_autopct(data2))\n",
    "ax2.set_title('With bots')\n",
    "\n",
    "plt.savefig(\"images/outcome_pie.png\", facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "731b0bec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(71298, 8)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_orig.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "844430b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "outbots_ts = output_orig.set_index('Date').groupby([pd.Grouper(freq='1h'), 'merged']).count().loc[:,['Comment']].reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5))\n",
    "sns.lineplot(x = 'Date', y = 'Comment', data = outbots_ts, hue = 'merged', ax=ax)\n",
    "fig.suptitle('All comments on Youngkin school trans policy', fontsize=14)\n",
    "ax.set_title('(duplicates included)')\n",
    "plt.savefig(\"images/all_ts_withbots.png\", facecolor='white')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "e00a237f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6247295563767256"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "32629 / (32629+19600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bc50ed48",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}