notebooks/03_news_authors_lstm_infer.ipynb

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pd.read_csv(\"/content/drive/MyDrive/Colab/ethnicolor/data/all_authors_lnfn.csv\")"],"metadata":{"id":"O6H6DaUD4NfF","executionInfo":{"status":"ok","timestamp":1688414683883,"user_tz":420,"elapsed":1805,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["df['full_name'] = df['full_name'].str.strip()\n","df.dropna(inplace=True)\n","df.reset_index(drop=True, inplace=True)"],"metadata":{"id":"0DCotK_s5cbT","executionInfo":{"status":"ok","timestamp":1688414683884,"user_tz":420,"elapsed":11,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"9qvGqvI06Eqo","executionInfo":{"status":"ok","timestamp":1688414683885,"user_tz":420,"elapsed":10,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"78c69625-08c5-4375-9c57-7a68e363c85f"},"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["             full_name channel\n","0    Schiller Benjamin     cnn\n","1  Moshtaghian Artemis     cnn\n","2    Collinson Stephen     cnn\n","3        Willingham Aj     cnn\n","4         Raine Andrew     cnn"],"text/html":["\n","  <div id=\"df-38baa9c5-4d48-4f2c-acb9-464e6995ea4a\">\n","    <div class=\"colab-df-container\">\n","      <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>full_name</th>\n","      <th>channel</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Schiller Benjamin</td>\n","      <td>cnn</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Moshtaghian Artemis</td>\n","      <td>cnn</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Collinson Stephen</td>\n","      <td>cnn</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Willingham Aj</td>\n","      <td>cnn</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Raine Andrew</td>\n","      <td>cnn</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-38baa9c5-4d48-4f2c-acb9-464e6995ea4a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 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Chintalapati","userId":"03596288833202137831"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["max_name = 47\n","all_categories =  ['asian', 'hispanic', 'nh_black', 'nh_white', 'other']\n","n_categories = len(all_categories)\n","\n","vocab = list(vectorizer.get_feature_names_out())\n","all_letters = ''.join(vocab)\n","n_letters = len(vocab)\n","oob = n_letters + 1\n","vocab_size = oob + 1"],"metadata":{"id":"2ytlXs8hvcj9","executionInfo":{"status":"ok","timestamp":1688414695876,"user_tz":420,"elapsed":259,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":7,"outputs":[]},{"cell_type":"code","source":["# A custom Dataset class must implement three functions: __init__, __len__, and __getitem__\n","\n","class EthniColorDataset(Dataset):\n","  def __init__(self, data_df, transform=None):\n","    self.df = data_df\n","    self.transform = transform\n","\n","  def __len__(self):\n","    return len(self.df)\n","\n","  def __getitem__(self, idx):\n","    if torch.is_tensor(idx):\n","      idx = idx.tolist()\n","    name = self.df.iloc[idx, df.columns.get_loc('full_name')]\n","    if self.transform:\n","      name_ids = self.transform(name)\n","    return name, name_ids"],"metadata":{"id":"hevLv4U95ncQ","executionInfo":{"status":"ok","timestamp":1688414696940,"user_tz":420,"elapsed":3,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["def letterToIndex(letter):\n","    return all_letters.find(letter)\n","\n","def lineToTensor(line):\n","    # if name is more than max_name\n","    try:\n","      if len(line) > max_name:\n","        line = line[:max_name]\n","      tensor = torch.ones(max_name) * oob\n","      for li, letter in enumerate(line):\n","          tensor[li] = letterToIndex(letter)\n","    except:\n","      print(line)\n","      raise\n","    return tensor"],"metadata":{"id":"5LDvGC6VxcfS","executionInfo":{"status":"ok","timestamp":1688414697481,"user_tz":420,"elapsed":2,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["dataset = EthniColorDataset(df, lineToTensor)"],"metadata":{"id":"wO4Gslie6Wam","executionInfo":{"status":"ok","timestamp":1688414699306,"user_tz":420,"elapsed":2,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["for i in range(3):\n","  name, ids  = dataset[i]\n","  print(i, name, ids)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BiEhA5NH7E3m","executionInfo":{"status":"ok","timestamp":1688414699792,"user_tz":420,"elapsed":253,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"8a39d363-cd59-49db-a14c-253ad4bb36da"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["0 Schiller Benjamin tensor([21., 31., 36., 37., 40., 40., 33., 46.,  0.,  4., 33., 42., 38., 29.,\n","        41., 37., 42., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56.])\n","1 Moshtaghian Artemis tensor([15., 43., 47., 36., 48., 29., 35., 36., 37., 29., 42.,  0.,  3., 46.,\n","        48., 33., 41., 37., 47., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56.])\n","2 Collinson Stephen tensor([ 5., 43., 40., 40., 37., 42., 47., 43., 42.,  0., 21., 48., 33., 44.,\n","        36., 33., 42., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56., 56.,\n","        56., 56., 56., 56., 56.])\n"]}]},{"cell_type":"code","source":["import os\n","\n","batch_size=1024\n","\n","dataloader = DataLoader(dataset, batch_size=batch_size, shuffle=True, drop_last=True, num_workers=os.cpu_count())"],"metadata":{"id":"ER3pn4fw76IQ","executionInfo":{"status":"ok","timestamp":1688414701428,"user_tz":420,"elapsed":2,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["for i_batch, sample_batched in enumerate(dataloader):\n","    print(i_batch, len(sample_batched[0]), sample_batched[1].size())\n","    if i_batch == 2:\n","        break"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bME3Zbmr8ISu","executionInfo":{"status":"ok","timestamp":1688414702483,"user_tz":420,"elapsed":802,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"f23c392c-d01c-422c-bf8a-514540108c20"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["0 1024 torch.Size([1024, 47])\n","1 1024 torch.Size([1024, 47])\n","2 1024 torch.Size([1024, 47])\n"]}]},{"cell_type":"code","source":["# Set the random seed for reproducible results\n","torch.manual_seed(42)\n","device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n","\n","class LSTM(nn.Module):\n","    def __init__(self, input_size, hidden_size, output_size, num_layers=1):\n","        super(LSTM, self).__init__()\n","        self.hidden_size = hidden_size\n","        self.num_layers = num_layers\n","\n","        # The nn.Embedding layer returns a new tensor with dimension (sequence_length, 1, hidden_size)\n","        self.embedding = nn.Embedding(input_size, hidden_size)\n","        # LSTM layer expects a tensor of dimension (batch_size, sequence_length, hidden_size).\n","        self.lstm = nn.LSTM(hidden_size, hidden_size, num_layers, batch_first=True)\n","        self.fc = nn.Linear(hidden_size, output_size)\n","        self.softmax = nn.LogSoftmax(dim=1)\n","\n","    def forward(self, input):\n","        embedded = self.embedding(input.type(torch.IntTensor).to(input.device))\n","        # embedded = embedded.view(embedded.shape[0],-1,embedded.shape[3])\n","        h0 = torch.zeros(self.num_layers, embedded.size(0), self.hidden_size).to(input.device)\n","        c0 = torch.zeros(self.num_layers, embedded.size(0), self.hidden_size).to(input.device)\n","        out, _ = self.lstm(embedded, (h0, c0))\n","        out = out[:, -1, :]  # get the output of the last time step\n","        out = self.fc(out)\n","        out = self.softmax(out)\n","        return out\n","\n","\n","n_hidden = 256\n","seq_len = max_name\n","\n","model = LSTM(vocab_size, n_hidden, n_categories, num_layers=2)\n","model.load_state_dict(torch.load('/content/drive/MyDrive/Colab/ethnicolor/models_v2/lstm/lstm_fullname.pt', map_location=device))\n","model.to(device)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8fYsrHPzvF9D","executionInfo":{"status":"ok","timestamp":1688414707676,"user_tz":420,"elapsed":779,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"09c61b0e-e605-499b-ce40-037a09f27463"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LSTM(\n","  (embedding): Embedding(57, 256)\n","  (lstm): LSTM(256, 256, num_layers=2, batch_first=True)\n","  (fc): Linear(in_features=256, out_features=5, bias=True)\n","  (softmax): LogSoftmax(dim=1)\n",")"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["# Set the model to evaluation mode\n","model.eval()\n","\n","# Disable gradient calculations\n","with torch.no_grad():\n","    # List to hold the predictions\n","    predictions = []\n","    names = []\n","\n","    # Loop over the batches\n","    for batch in tqdm(dataloader):\n","        # Move the batch to the device the model is on\n","        nms = list(batch[0])\n","        tns = batch[1].to(device)\n","        # Compute the predictions\n","        outputs = model(tns)\n","        outputs = torch.argmax(outputs, dim=1)\n","        # Move the predictions to the CPU and convert to numpy arrays\n","        outputs = outputs.cpu().numpy()\n","        # Append the predictions to the list\n","        predictions.extend(list(outputs))\n","        names.extend(nms)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"U-MyDlVY91rr","executionInfo":{"status":"ok","timestamp":1688414775180,"user_tz":420,"elapsed":38589,"user":{"displayName":"Rajashekar 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results_df['preds'].value_counts().to_dict()"],"metadata":{"id":"5XjMWXjrelmC","executionInfo":{"status":"ok","timestamp":1688414823567,"user_tz":420,"elapsed":228,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":23,"outputs":[]},{"cell_type":"code","source":["results_df['preds'].value_counts().plot.bar(x='lab', y='val', rot=0)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":450},"id":"s4THjyMdeMbW","executionInfo":{"status":"ok","timestamp":1688414824713,"user_tz":420,"elapsed":311,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"c186b70b-6400-452d-c63c-32f2b9534f29"},"execution_count":24,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: >"]},"metadata":{},"execution_count":24},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["results_df.shape[0]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rdIQ_Rdme_5I","executionInfo":{"status":"ok","timestamp":1688414829645,"user_tz":420,"elapsed":222,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"e7e069c6-e893-4606-d75c-fa1def54592f"},"execution_count":25,"outputs":[{"output_type":"execute_result","data":{"text/plain":["12288"]},"metadata":{},"execution_count":25}]},{"cell_type":"code","source":["res_dict"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hAoEilvEfKFP","executionInfo":{"status":"ok","timestamp":1688414830436,"user_tz":420,"elapsed":4,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"146baaa8-dd38-4114-fd8f-aefc27db609c"},"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'nh_white': 9589,\n"," 'asian': 1050,\n"," 'hispanic': 895,\n"," 'nh_black': 705,\n"," 'other': 49}"]},"metadata":{},"execution_count":26}]},{"cell_type":"code","source":["for x in res_dict:\n","  print(f\"{x} - {round(res_dict[x]/results_df.shape[0], 3)}%\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0r8czBhMdqWZ","executionInfo":{"status":"ok","timestamp":1688414839731,"user_tz":420,"elapsed":318,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"d80dc2bb-1cab-4dbd-f010-4aba669dc8cc"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["nh_white - 0.78%\n","asian - 0.085%\n","hispanic - 0.073%\n","nh_black - 0.057%\n","other - 0.004%\n"]}]},{"cell_type":"code","source":["# prompt: merge df and results_df based on full_name and names\n","\n","df1 = pd.merge(df, results_df, left_on='full_name', right_on='names')\n","print(df1.head())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xu7B1rlqvL0p","executionInfo":{"status":"ok","timestamp":1688414841087,"user_tz":420,"elapsed":287,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"8a5520c5-5139-4438-b5f3-9501d48c1f60"},"execution_count":28,"outputs":[{"output_type":"stream","name":"stdout","text":["             full_name channel                names  predictions     preds\n","0  Moshtaghian Artemis     cnn  Moshtaghian Artemis            3  nh_white\n","1    Collinson Stephen     cnn    Collinson Stephen            3  nh_white\n","2        Willingham Aj     cnn        Willingham Aj            3  nh_white\n","3         Raine Andrew     cnn         Raine Andrew            3  nh_white\n","4     Magramo Kathleen     cnn     Magramo Kathleen            3  nh_white\n"]}]},{"cell_type":"code","source":["df1 = df1[['full_name', 'channel', 'preds', 'predictions']]"],"metadata":{"id":"J9zL4XG3vTnu","executionInfo":{"status":"ok","timestamp":1688414842504,"user_tz":420,"elapsed":4,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":29,"outputs":[]},{"cell_type":"code","source":["df1.groupby(['channel', 'preds']).size()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eO1HCOQ8yDUt","executionInfo":{"status":"ok","timestamp":1688414845071,"user_tz":420,"elapsed":233,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"39f1e1e4-618c-438a-c06b-7839642a92d0"},"execution_count":30,"outputs":[{"output_type":"execute_result","data":{"text/plain":["channel   preds   \n","abc       asian          1\n","          hispanic       1\n","          nh_black       1\n","          nh_white      10\n","cbs       asian         36\n","          hispanic      46\n","          nh_black      42\n","          nh_white     533\n","          other          8\n","cnn       asian        203\n","          hispanic     192\n","          nh_black     181\n","          nh_white    1955\n","          other         10\n","lat       asian         72\n","          hispanic      75\n","          nh_black      27\n","          nh_white     298\n","          other          1\n","nbc       asian        109\n","          hispanic      86\n","          nh_black      69\n","          nh_white     852\n","          other          6\n","npr       asian        138\n","          hispanic     135\n","          nh_black      84\n","          nh_white    1118\n","          other         14\n","nyt       asian        294\n","          hispanic     167\n","          nh_black     144\n","          nh_white    2488\n","          other         12\n","politico  asian          1\n","          hispanic       3\n","          nh_black       2\n","          nh_white      64\n","propub    asian         21\n","          hispanic      19\n","          nh_black      20\n","          nh_white     201\n","          other          2\n","usat      asian         75\n","          hispanic     119\n","          nh_black      93\n","          nh_white    1380\n","          other          9\n","wapo      asian        205\n","          hispanic     103\n","          nh_black      98\n","          nh_white    1533\n","          other          5\n","dtype: int64"]},"metadata":{},"execution_count":30}]},{"cell_type":"code","source":["df1.groupby(['channel', 'preds']).size().unstack(fill_value=0).plot(kind='bar', figsize=(15, 10), rot=0)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":721},"id":"yju5r5zm1Q5k","executionInfo":{"status":"ok","timestamp":1688414847805,"user_tz":420,"elapsed":545,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"ebf8f58e-ca7f-4ed9-9534-b02fa04f9ce3"},"execution_count":31,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='channel'>"]},"metadata":{},"execution_count":31},{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x1000 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAABMsAAANBCAYAAAD+4TmSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABd/klEQVR4nO3debxVdaH///dhHg+ICgcUARPlWCAqpnxTwREn0rJMM5VyyIJbaIp5c0C9pdcGhzIrU6EyhzK9hqURCU6I5hVHREWI/CniCGIKyFm/P1zu60nEg3I4DM/n43EeD/Zen732Z+3l2WxfrLV2VVEURQAAAACANGvqCQAAAADAmkIsAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACg1KKpJ9BY6urq8uyzz6Zjx46pqqpq6ukAAAAA0ESKoshrr72WHj16pFmzFR87ts7GsmeffTY9e/Zs6mkAAAAAsIb45z//mU033XSFY9bZWNaxY8ckb78I1dXVTTwbAAAAAJrKwoUL07Nnz0ovWpF1Npa9c+pldXW1WAYAAABAgy7V5QL/AAAAAFASywAAAACgJJYBAAAAQGmdvWYZAAAAwIdRFEXeeuutLFu2rKmnwkpo2bJlmjdv/pHXI5YBAAAAlJYsWZLnnnsu//rXv5p6KqykqqqqbLrppunQocNHWo9YBgAAAJCkrq4us2fPTvPmzdOjR4+0atWqQd+eSNMriiIvvPBCnnnmmfTt2/cjHWEmlgEAAADk7aPK6urq0rNnz7Rr166pp8NK2njjjTNnzpwsXbr0I8UyF/gHAAAAeJdmzeSStdGqOgrQ3gcAAACAklgGAAAAQEXv3r1z4YUXNvU0moxYBgAAAAAlsQwAAABgHbNkyZKmnsJaSywDAAAAWMMNHTo0o0aNyqhRo9KpU6dstNFGOf3001MURZK3T50855xzcuSRR6a6ujrHHXdckuTOO+/MLrvskrZt26Znz575xje+kddff72y3vnz52f48OFp27Zt+vTpk6uuuqre8xZFkbFjx2azzTZL69at06NHj3zjG99YfRveBMQyAAAAgLXA+PHj06JFi9x777256KKL8qMf/Si//OUvK8t/8IMfZJtttskDDzyQ008/PbNmzco+++yTgw8+OA899FCuvfba3HnnnRk1alTlMSNGjMg///nP3Hbbbfn973+fn/70p5k/f35l+fXXX58LLrggP//5z/Pkk0/mxhtvTP/+/Vfrdq9uLZp6AgAAAAB8sJ49e+aCCy5IVVVVttpqqzz88MO54IILcuyxxyZJdt9993zrW9+qjD/mmGNy+OGHZ/To0UmSvn375uKLL86QIUNy6aWXZu7cufnzn/+ce++9NzvssEOS5PLLL09tbW1lHXPnzk1NTU323HPPtGzZMptttlk++clPrr6NbgKOLAMAAABYC+y0006pqqqq3B48eHCefPLJLFu2LEkyaNCgeuMffPDBjBs3Lh06dKj8DBs2LHV1dZk9e3ZmzJiRFi1aZPvtt688pl+/funcuXPl9uc///m88cYb2XzzzXPsscfmhhtuyFtvvdW4G9rExDIAAACAdUD79u3r3V60aFG++tWvZvr06ZWfBx98ME8++WQ+9rGPNWidPXv2zMyZM/PTn/40bdu2zde//vXsuuuuWbp0aWNswhrBaZgAAAAAa4Fp06bVu33PPfekb9++ad68+XLHb7fddnnssceyxRZbLHd5v3798tZbb+X++++vnIY5c+bMvPrqq/XGtW3bNsOHD8/w4cMzcuTI9OvXLw8//HC22267j75RayCxDAAAAGAtMHfu3Jx44on56le/mv/93//Nj3/84/zwhz983/GnnHJKdtppp4waNSrHHHNM2rdvn8ceeywTJ07MT37yk2y11VbZZ5998tWvfjWXXnppWrRokdGjR6dt27aVdYwbNy7Lli3LjjvumHbt2uU3v/lN2rZtm169eq2OTW4STsMEAAAAWAsceeSReeONN/LJT34yI0eOzDe/+c0cd9xx7zt+wIABmTJlSp544onssssu2XbbbXPGGWekR48elTFXXnllevTokSFDhuSzn/1sjjvuuHTt2rWyvHPnzrnsssvyqU99KgMGDMhf//rX/PGPf8yGG27YqNvalKqKoiiaehKNYeHChenUqVMWLFiQ6urqpp4OAAAAsIZ78803M3v27PTp0ydt2rRp6unUM3To0AwcODAXXnhhU09ljbWi/bcynciRZQAAAABQEssAAAAAoOQC/wAAAABruMmTJzf1FNYbjiwDAAAAgJJYBgAAAACllYpl5557bnbYYYd07NgxXbt2zUEHHZSZM2fWGzN06NBUVVXV+zn++OPrjZk7d27233//tGvXLl27ds3JJ5+ct956q96YyZMnZ7vttkvr1q2zxRZbZNy4cR9uCwEAAACggVYqlk2ZMiUjR47MPffck4kTJ2bp0qXZe++98/rrr9cbd+yxx+a5556r/Jx//vmVZcuWLcv++++fJUuW5O6778748eMzbty4nHHGGZUxs2fPzv7775/ddtst06dPz+jRo3PMMcfk1ltv/YibCwAAAADvb6Uu8H/LLbfUuz1u3Lh07do1999/f3bdddfK/e3atUtNTc1y1/GXv/wljz32WP7617+mW7duGThwYM4555yccsopGTt2bFq1apWf/exn6dOnT374wx8mSWpra3PnnXfmggsuyLBhw1Z2GwEAAACgQT7SNcsWLFiQJOnSpUu9+6+66qpstNFG+cQnPpFTTz01//rXvyrLpk6dmv79+6dbt26V+4YNG5aFCxfm0UcfrYzZc889661z2LBhmTp16vvOZfHixVm4cGG9HwAAAABYGR86ltXV1WX06NH51Kc+lU984hOV+7/4xS/mN7/5TW677baceuqp+fWvf50vfelLleXz5s2rF8qSVG7PmzdvhWMWLlyYN954Y7nzOffcc9OpU6fKT8+ePT/spgEAAACsN6qqqnLjjTc29TTWGCt1Gua7jRw5Mo888kjuvPPOevcfd9xxlT/3798/3bt3zx577JFZs2blYx/72Ief6Qc49dRTc+KJJ1ZuL1y4UDADAAAAPrLe3755tT7fnPP2X63P99xzz2WDDTZYrc+5JvtQR5aNGjUqEyZMyG233ZZNN910hWN33HHHJMlTTz2VJKmpqcnzzz9fb8w7t9+5ztn7jamurk7btm2X+zytW7dOdXV1vR8AAAAAVqympiatW7du6mmsMVYqlhVFkVGjRuWGG27I3/72t/Tp0+cDHzN9+vQkSffu3ZMkgwcPzsMPP5z58+dXxkycODHV1dXZeuutK2MmTZpUbz0TJ07M4MGDV2a6AACwVpvRr7bBPwCs32655ZbsvPPO6dy5czbccMMccMABmTVrVpJkyZIlGTVqVLp37542bdqkV69eOffccyuP/ffTME855ZRsueWWadeuXTbffPOcfvrpWbp0aWX52LFjM3DgwPz6179O796906lTpxx66KF57bXXVtv2NqaVimUjR47Mb37zm/z2t79Nx44dM2/evMybN69yHbFZs2blnHPOyf333585c+bkpptuypFHHpldd901AwYMSJLsvffe2XrrrXPEEUfkwQcfzK233prTTjstI0eOrFTM448/Pk8//XTGjBmTxx9/PD/96U9z3XXX5YQTTljFmw8AAACw9nv99ddz4okn5u9//3smTZqUZs2a5TOf+Uzq6upy8cUX56abbsp1112XmTNn5qqrrkrv3r3fd10dO3bMuHHj8thjj+Wiiy7KZZddlgsuuKDemFmzZuXGG2/MhAkTMmHChEyZMiXnnXdeI2/l6rFS1yy79NJLkyRDhw6td/+VV16ZESNGpFWrVvnrX/+aCy+8MK+//np69uyZgw8+OKeddlplbPPmzTNhwoR87Wtfy+DBg9O+ffscddRROfvssytj+vTpk5tvvjknnHBCLrroomy66ab55S9/mWHDhn2ETQUAAABYNx188MH1bl9xxRXZeOON89hjj2Xu3Lnp27dvdt5551RVVaVXr14rXNe7O07v3r1z0kkn5ZprrsmYMWMq99fV1WXcuHHp2LFjkuSII47IpEmT8t3vfncVblXTWKlYVhTFCpf37NkzU6ZM+cD19OrVK3/6059WOGbo0KF54IEHVmZ6AAAAAOulJ598MmeccUamTZuWF198MXV1dUmSuXPnZsSIEdlrr72y1VZbZZ999skBBxyQvffe+33Xde211+biiy/OrFmzsmjRorz11lvvuTZ87969K6EsefvyW+++5Nba7ENd4B8AAACANcfw4cPz8ssv57LLLsu0adMybdq0JG9fr2y77bbL7Nmzc8455+SNN97IIYccks997nPLXc/UqVNz+OGHZ7/99suECRPywAMP5Dvf+U6WLFlSb1zLli3r3a6qqqoEurXdSh1ZBgAAAMCa5aWXXsrMmTNz2WWXZZdddkmS3HnnnfXGVFdX5wtf+EK+8IUv5HOf+1z22WefvPzyy+nSpUu9cXfffXd69eqV73znO5X7/vGPfzT+RqxBxDIAAACAtdgGG2yQDTfcML/4xS/SvXv3zJ07N9/+9rcry3/0ox+le/fu2XbbbdOsWbP87ne/S01NTTp37vyedfXt2zdz587NNddckx122CE333xzbrjhhtW4NU3PaZgAAAAAa7FmzZrlmmuuyf33359PfOITOeGEE/L973+/srxjx445//zzM2jQoOywww6ZM2dO/vSnP6VZs/dmoU9/+tM54YQTMmrUqAwcODB33313Tj/99NW5OU2uqvigq/avpRYuXJhOnTplwYIF77kIHQAArA1m9Ktt8Njax2c04kwA1g9vvvlmZs+enT59+qRNmzZNPR1W0or238p0IkeWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAABYyw0dOjSjR49+3+VVVVW58cYbV9t8GuKD5txUWjT1BAAAAADWaGM7rebnW7DKV/ncc89lgw02WOXr/Sj+8Ic/pGXLlk09jfcQywAAAADWcTU1NU09hffo0qVLU09huZyGCQAAALAOqKury5gxY9KlS5fU1NRk7NixlWXvPg1zyZIlGTVqVLp37542bdqkV69eOffcc+uNvfTSS7Pvvvumbdu22XzzzfP73/++3nOdcsop2XLLLdOuXbtsvvnmOf3007N06dLK8rFjx2bgwIH59a9/nd69e6dTp0459NBD89prr1XG/PtpmIsXL84pp5ySnj17pnXr1tliiy1y+eWXr9oXqQHEMgAAAIB1wPjx49O+fftMmzYt559/fs4+++xMnDjxPeMuvvji3HTTTbnuuusyc+bMXHXVVendu3e9MaeffnoOPvjgPPjggzn88MNz6KGHZsaMGZXlHTt2zLhx4/LYY4/loosuymWXXZYLLrig3jpmzZqVG2+8MRMmTMiECRMyZcqUnHfeee87/yOPPDJXX311Lr744syYMSM///nP06FDh4/2onwITsMEAAAAWAcMGDAgZ555ZpKkb9+++clPfpJJkyZlr732qjdu7ty56du3b3beeedUVVWlV69e71nX5z//+RxzzDFJknPOOScTJ07Mj3/84/z0pz9Nkpx22mmVsb17985JJ52Ua665JmPGjKncX1dXl3HjxqVjx45JkiOOOCKTJk3Kd7/73fc83xNPPJHrrrsuEydOzJ577pkk2XzzzT/Ky/GhiWUAAAAA64ABAwbUu929e/fMnz//PeNGjBiRvfbaK1tttVX22WefHHDAAdl7773rjRk8ePB7bk+fPr1y+9prr83FF1+cWbNmZdGiRXnrrbdSXV1d7zG9e/euhLIVzSdJpk+fnubNm2fIkCEN2tbG5DRMAAAAgHXAv3+zZFVVVerq6t4zbrvttsvs2bNzzjnn5I033sghhxySz33ucw1+nqlTp+bwww/PfvvtlwkTJuSBBx7Id77znSxZsuRDzSdJ2rZt2+Dnb2xiGQAAAMB6prq6Ol/4whdy2WWX5dprr83111+fl19+ubL8nnvuqTf+nnvuSW1tbZLk7rvvTq9evfKd73wngwYNSt++ffOPf/zjI82nf//+qaury5QpUz7SelYFp2ECAAAArEd+9KMfpXv37tl2223TrFmz/O53v0tNTU06d+5cGfO73/0ugwYNys4775yrrroq9957b+WbKfv27Zu5c+fmmmuuyQ477JCbb745N9xww0eaU+/evXPUUUflK1/5Si6++OJss802+cc//pH58+fnkEMO+UjrXlmOLAMAAABYj3Ts2DHnn39+Bg0alB122CFz5szJn/70pzRr9n+Z6Kyzzso111yTAQMG5Fe/+lWuvvrqbL311kmST3/60znhhBMyatSoDBw4MHfffXdOP/30jzyvSy+9NJ/73Ofy9a9/Pf369cuxxx6b119//SOvd2VVFUVRrPZnXQ0WLlyYTp06ZcGCBe+5wBwAAKwNZvSrbfDY2sdnNOJMANYPb775ZmbPnp0+ffqkTZs2TT2dJlNVVZUbbrghBx10UFNPZaWsaP+tTCdyZBkAAAAAlMQyAAAAACi5wD8AAAAAFevoFbsazJFlAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAMA6rqqqKjfeeOOHeuzkyZNTVVWVV1999X3HjBs3Lp07d/5Q6/+wz9lYWqz2ZwQAAABYi/Qf33+1Pt/DRz28Wp+P+hxZBgAAAAAlsQwAAABgLTd06NB84xvfyJgxY9KlS5fU1NRk7Nix9ca8+OKL+cxnPpN27dqlb9++uemmm1bqOe66664MGDAgbdq0yU477ZRHHnnkfcfOmjUrBx54YLp165YOHTpkhx12yF//+td6YxYvXpxTTjklPXv2TOvWrbPFFlvk8ssvX+76/vWvf2XffffNpz71qUY/NVMsAwAAAFgHjB8/Pu3bt8+0adNy/vnn5+yzz87EiRMry88666wccsgheeihh7Lffvvl8MMPz8svv9zg9Z988sn54Q9/mPvuuy8bb7xxhg8fnqVLly537KJFi7Lffvtl0qRJeeCBB7LPPvtk+PDhmTt3bmXMkUcemauvvjoXX3xxZsyYkZ///Ofp0KHDe9b16quvZq+99kpdXV0mTpy4Sq+NtjxiGQAAAMA6YMCAATnzzDPTt2/fHHnkkRk0aFAmTZpUWT5ixIgcdthh2WKLLfK9730vixYtyr333tvg9Z955pnZa6+90r9//4wfPz7PP/98brjhhuWO3WabbfLVr341n/jEJ9K3b9+cc845+djHPlY5mu2JJ57IddddlyuuuCKf+cxnsvnmm2ePPfbIF77whXrrmTdvXoYMGZLu3bvnj3/8Y9q1a/chXpmVI5YBAAAArAMGDBhQ73b37t0zf/785S5v3759qqur6y3/IIMHD678uUuXLtlqq60yY8aM5Y5dtGhRTjrppNTW1qZz587p0KFDZsyYUTmybPr06WnevHmGDBmywufca6+9ssUWW+Taa69Nq1atGjzXj0IsAwAAAFgHtGzZst7tqqqq1NXVNXj5qnTSSSflhhtuyPe+973ccccdmT59evr3758lS5YkSdq2bdug9ey///65/fbb89hjjzXKPJdHLAMAAADgA91zzz2VP7/yyit54oknUltbu9yxd911V0aMGJHPfOYz6d+/f2pqajJnzpzK8v79+6euri5TpkxZ4XOed955Oeqoo7LHHnustmDWYrU8CwAAAABrtbPPPjsbbrhhunXrlu985zvZaKONctBBBy13bN++ffOHP/whw4cPT1VVVU4//fR6R7H17t07Rx11VL7yla/k4osvzjbbbJN//OMfmT9/fg455JB66/rBD36QZcuWZffdd8/kyZPTr1+/xtxMR5YBAAAA8MHOO++8fPOb38z222+fefPm5Y9//OP7XkfsRz/6UTbYYIP8v//3/zJ8+PAMGzYs2223Xb0xl156aT73uc/l61//evr165djjz02r7/++nLXd8EFF+SQQw7J7rvvnieeeGKVb9u7VRVFUTTqMzSRhQsXplOnTlmwYEGqq6ubejoAALDSZvRb/qkty1P7+PIvsAxAw7355puZPXt2+vTpkzZt2jT1dFhJK9p/K9OJHFkGAAAAACWxDAAAAGA9dvzxx6dDhw7L/Tn++OObenqrnQv8AwAAAKzHzj777Jx00knLXbY+XtpKLAMAAABYj3Xt2jVdu3Zt6mmsMZyGCQAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKDUoqknAAAAALAmm9GvdrU+X+3jM1b5OquqqnLDDTfkoIMOWuXr/ne9e/fO6NGjM3r06OUunzNnTvr06ZMHHnggAwcObPT5rCxHlgEAAACw2vTs2TPPPfdcPvGJTyRJJk+enKqqqrz66qtNO7GSI8sAAAAAWG2aN2+empqapp7G+3JkGQAAAMBabujQofnGN76RMWPGpEuXLqmpqcnYsWPrjXnxxRfzmc98Ju3atUvfvn1z0003NWjdgwYNyg9+8IPK7YMOOigtW7bMokWLkiTPPPNMqqqq8tRTT1XG/Otf/8pXvvKVdOzYMZtttll+8YtfVJbNmTMnVVVVmT59eubMmZPddtstSbLBBhukqqoqI0aMSJLU1dXl3HPPTZ8+fdK2bdtss802+f3vf/9hXp6VIpYBAAAArAPGjx+f9u3bZ9q0aTn//PNz9tlnZ+LEiZXlZ511Vg455JA89NBD2W+//XL44Yfn5Zdf/sD1DhkyJJMnT06SFEWRO+64I507d86dd96ZJJkyZUo22WSTbLHFFpXH/PCHP8ygQYPywAMP5Otf/3q+9rWvZebMme9Zd8+ePXP99dcnSWbOnJnnnnsuF110UZLk3HPPza9+9av87Gc/y6OPPpoTTjghX/rSlzJlypQP/Ro1hFgGAAAAsA4YMGBAzjzzzPTt2zdHHnlkBg0alEmTJlWWjxgxIocddli22GKLfO9738uiRYty7733fuB6hw4dmjvvvDPLli3LQw89lFatWuXwww+vBLTJkydnyJAh9R6z33775etf/3q22GKLnHLKKdloo41y2223vWfdzZs3T5cuXZIkXbt2TU1NTTp16pTFixfne9/7Xq644ooMGzYsm2++eUaMGJEvfelL+fnPf/4RXqUP5pplAAAAAOuAAQMG1LvdvXv3zJ8/f7nL27dvn+rq6nrL388uu+yS1157LQ888EDuvvvuDBkyJEOHDs15552X5O0jy04++eT3nUtVVVVqamoa9FzveOqpp/Kvf/0re+21V737lyxZkm233bbB6/kwxDIAAACAdUDLli3r3a6qqkpdXV2Dl7+fzp07Z5tttsnkyZMzderU7LXXXtl1113zhS98IU888USefPLJ9xxZ9mGf6x3vXA/t5ptvziabbFJvWevWrRu8ng9DLAMAAABghYYMGZLbbrst9957b7773e+mS5cuqa2tzXe/+9107949W2655Yded6tWrZIky5Ytq9y39dZbp3Xr1pk7d+57Qlxjc80yAAAAAFZo6NChufXWW9OiRYv069evct9VV131kWNWr169UlVVlQkTJuSFF17IokWL0rFjx5x00kk54YQTMn78+MyaNSv/+7//mx//+McZP378qtik9+XIMgAAAIAVqH18RlNPocntsssuqaurqxfGhg4dmosuuihDhw79SOveZJNNctZZZ+Xb3/52vvzlL+fII4/MuHHjcs4552TjjTfOueeem6effjqdO3fOdtttl//8z//8iFuzYlVFURSN+gxNZOHChenUqVMWLFiQ6urqpp4OAACstBn9ahs81v/IAXx0b775ZmbPnp0+ffqkTZs2TT0dVtKK9t/KdCKnYQIAAABASSwDAAAAWI8df/zx6dChw3J/jj/++Kae3mrnmmUAAAAA67Gzzz47J5100nKXrY+XthLLAAAAANZjXbt2TdeuXZt6GmsMp2ECAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAACA9dDQoUMzevTopp7GGqdFU08AAAAAYE12yfF/W63PN/Jnu6/S9U2ePDm77bZbXnnllXTu3HmVrntd5MgyAAAAAFaJJUuWNPUUPjKxDAAAAGAtt3jx4nzjG99I165d06ZNm+y888657777MmfOnOy2225Jkg022CBVVVUZMWJE5XF1dXUZM2ZMunTpkpqamowdO7beel999dUcc8wx2XjjjVNdXZ3dd989Dz74YGX52LFjM3DgwPzyl79Mnz590qZNm9WxuY1KLAMAAABYy40ZMybXX399xo8fn//93//NFltskWHDhqVjx465/vrrkyQzZ87Mc889l4suuqjyuPHjx6d9+/aZNm1azj///Jx99tmZOHFiZfnnP//5zJ8/P3/+859z//33Z7vttssee+yRl19+uTLmqaeeyvXXX58//OEPmT59+mrb5sbimmUAAAAAa7HXX389l156acaNG5d99903SXLZZZdl4sSJueKKK7LDDjskSbp27fqea5YNGDAgZ555ZpKkb9+++clPfpJJkyZlr732yp133pl777038+fPT+vWrZMkP/jBD3LjjTfm97//fY477rgkb596+atf/Sobb7zxatrixiWWAQAAAKzFZs2alaVLl+ZTn/pU5b6WLVvmk5/8ZGbMmFGJZcszYMCAere7d++e+fPnJ0kefPDBLFq0KBtuuGG9MW+88UZmzZpVud2rV691JpQlYhkAAADAeqtly5b1bldVVaWuri5JsmjRonTv3j2TJ09+z+PefYRa+/btG3OKq51YBgAAALAW+9jHPpZWrVrlrrvuSq9evZIkS5cuzX333ZfRo0enVatWSZJly5at1Hq32267zJs3Ly1atEjv3r1X9bTXWC7wDwAAALAWa9++fb72ta/l5JNPzi233JLHHnssxx57bP71r3/l6KOPTq9evVJVVZUJEybkhRdeyKJFixq03j333DODBw/OQQcdlL/85S+ZM2dO7r777nznO9/J3//+90beqqbjyDIAAACAFRj5s92begof6LzzzktdXV2OOOKIvPbaaxk0aFBuvfXWbLDBBtlggw1y1lln5dvf/na+/OUv58gjj8y4ceM+cJ1VVVX505/+lO985zv58pe/nBdeeCE1NTXZdddd061bt8bfqCZSVRRF0dSTaAwLFy5Mp06dsmDBglRXVzf1dAAAYKXN6Ffb4LG1j89oxJkArB/efPPNzJ49O3369EmbNm2aejqspBXtv5XpRE7DBAAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAACAd1lHvwtxnbeq9ptYBgAAAJCkZcuWSZJ//etfTTwTPowlS5YkSZo3b/6R1tNiVUwGAAAAYG3XvHnzdO7cOfPnz0+StGvXLlVVVU08Kxqirq4uL7zwQtq1a5cWLT5a7hLLAAAAAEo1NTVJUglmrD2aNWuWzTbb7CMHTrEMAAAAoFRVVZXu3buna9euWbp0aVNPh5XQqlWrNGv20a84JpYBAAAA/JvmzZt/5GtfsXZygX8AAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQGmlYtm5556bHXbYIR07dkzXrl1z0EEHZebMmfXGvPnmmxk5cmQ23HDDdOjQIQcffHCef/75emPmzp2b/fffP+3atUvXrl1z8skn56233qo3ZvLkydluu+3SunXrbLHFFhk3btyH20IAAAAAaKCVimVTpkzJyJEjc88992TixIlZunRp9t5777z++uuVMSeccEL++Mc/5ne/+12mTJmSZ599Np/97Gcry5ctW5b9998/S5Ysyd13353x48dn3LhxOeOMMypjZs+enf333z+77bZbpk+fntGjR+eYY47Jrbfeugo2GQAAAACWr6ooiuLDPviFF15I165dM2XKlOy6665ZsGBBNt544/z2t7/N5z73uSTJ448/ntra2kydOjU77bRT/vznP+eAAw7Is88+m27duiVJfvazn+WUU07JCy+8kFatWuWUU07JzTffnEceeaTyXIceemheffXV3HLLLQ2a28KFC9OpU6csWLAg1dXVH3YTAQCgyczoV9vgsbWPz2jEmQDA2m1lOtFHumbZggULkiRdunRJktx///1ZunRp9txzz8qYfv36ZbPNNsvUqVOTJFOnTk3//v0roSxJhg0bloULF+bRRx+tjHn3Ot4Z8846lmfx4sVZuHBhvR8AAAAAWBkfOpbV1dVl9OjR+dSnPpVPfOITSZJ58+alVatW6dy5c72x3bp1y7x58ypj3h3K3ln+zrIVjVm4cGHeeOON5c7n3HPPTadOnSo/PXv2/LCbBgAAAMB66kPHspEjR+aRRx7JNddcsyrn86GdeuqpWbBgQeXnn//8Z1NPCQAAAIC1TIsP86BRo0ZlwoQJuf3227PppptW7q+pqcmSJUvy6quv1ju67Pnnn09NTU1lzL333ltvfe98W+a7x/z7N2g+//zzqa6uTtu2bZc7p9atW6d169YfZnMAAAAAIMlKHllWFEVGjRqVG264IX/729/Sp0+fesu33377tGzZMpMmTarcN3PmzMydOzeDBw9OkgwePDgPP/xw5s+fXxkzceLEVFdXZ+utt66Mefc63hnzzjoAAAAAoDGs1JFlI0eOzG9/+9v8z//8Tzp27Fi5xlinTp3Stm3bdOrUKUcffXROPPHEdOnSJdXV1fmP//iPDB48ODvttFOSZO+9987WW2+dI444Iueff37mzZuX0047LSNHjqwcGXb88cfnJz/5ScaMGZOvfOUr+dvf/pbrrrsuN9988yrefAAAAAD4P1VFURQNHlxVtdz7r7zyyowYMSJJ8uabb+Zb3/pWrr766ixevDjDhg3LT3/608oplknyj3/8I1/72tcyefLktG/fPkcddVTOO++8tGjxf+1u8uTJOeGEE/LYY49l0003zemnn155joZYma8EBQCANdGMfrUNHlv7+IxGnAkArN1WphOtVCxbm4hlAACs7cQyAFg1VqYTfehvwwQAAACAdY1YBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUGrR1BMAWFPM6Ffb4LG1j89oxJkAAADQVBxZBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAotWjqCQAAAACwdpjRr7ZB42ofn9HIM2k8jiwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJRWOpbdfvvtGT58eHr06JGqqqrceOON9ZaPGDEiVVVV9X722WefemNefvnlHH744amurk7nzp1z9NFHZ9GiRfXGPPTQQ9lll13Spk2b9OzZM+eff/7Kbx0AAAAArISVjmWvv/56ttlmm1xyySXvO2afffbJc889V/m5+uqr6y0//PDD8+ijj2bixImZMGFCbr/99hx33HGV5QsXLszee++dXr165f7778/3v//9jB07Nr/4xS9WdroAAAAA0GAtVvYB++67b/bdd98VjmndunVqamqWu2zGjBm55ZZbct9992XQoEFJkh//+MfZb7/98oMf/CA9evTIVVddlSVLluSKK65Iq1at8vGPfzzTp0/Pj370o3pRDQAAAABWpUa5ZtnkyZPTtWvXbLXVVvna176Wl156qbJs6tSp6dy5cyWUJcmee+6ZZs2aZdq0aZUxu+66a1q1alUZM2zYsMycOTOvvPJKY0wZAAAAAFb+yLIPss8+++Szn/1s+vTpk1mzZuU///M/s++++2bq1Klp3rx55s2bl65du9afRIsW6dKlS+bNm5ckmTdvXvr06VNvTLdu3SrLNthgg/c87+LFi7N48eLK7YULF67qTQMAAABgHbfKY9mhhx5a+XP//v0zYMCAfOxjH8vkyZOzxx57rOqnqzj33HNz1llnNdr6AQAAAFj3NcppmO+2+eabZ6ONNspTTz2VJKmpqcn8+fPrjXnrrbfy8ssvV65zVlNTk+eff77emHduv9+10E499dQsWLCg8vPPf/5zVW8KAAAAAOu4Ro9lzzzzTF566aV07949STJ48OC8+uqruf/++ytj/va3v6Wuri477rhjZcztt9+epUuXVsZMnDgxW2211XJPwUze/lKB6urqej8AAAAAsDJWOpYtWrQo06dPz/Tp05Mks2fPzvTp0zN37twsWrQoJ598cu65557MmTMnkyZNyoEHHpgtttgiw4YNS5LU1tZmn332ybHHHpt77703d911V0aNGpVDDz00PXr0SJJ88YtfTKtWrXL00Ufn0UcfzbXXXpuLLrooJ5544qrbcgAAAAD4Nysdy/7+979n2223zbbbbpskOfHEE7PtttvmjDPOSPPmzfPQQw/l05/+dLbccsscffTR2X777XPHHXekdevWlXVcddVV6devX/bYY4/st99+2XnnnfOLX/yisrxTp075y1/+ktmzZ2f77bfPt771rZxxxhk57rjjVsEmAwAAAMDyrfQF/ocOHZqiKN53+a233vqB6+jSpUt++9vfrnDMgAEDcscdd6zs9AAAAADgQ2v0a5YBAAAAwNpCLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlFo09QQAAAAAZvSrbfDY2sdnNOJMWN85sgwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAAAAAKAklgEAAABASSwDAAAAgJJYBgAAAAAlsQwAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUGrR1BMAAGD1m9GvtsFjax+f0YgzAQBYsziyDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBppWPZ7bffnuHDh6dHjx6pqqrKjTfeWG95URQ544wz0r1797Rt2zZ77rlnnnzyyXpjXn755Rx++OGprq5O586dc/TRR2fRokX1xjz00EPZZZdd0qZNm/Ts2TPnn3/+ym8dAAAAAKyElY5lr7/+erbZZptccskly11+/vnn5+KLL87PfvazTJs2Le3bt8+wYcPy5ptvVsYcfvjhefTRRzNx4sRMmDAht99+e4477rjK8oULF2bvvfdOr169cv/99+f73/9+xo4dm1/84hcfYhMBAAAAoGFarOwD9t133+y7777LXVYURS688MKcdtppOfDAA5Mkv/rVr9KtW7fceOONOfTQQzNjxozccsstue+++zJo0KAkyY9//OPst99++cEPfpAePXrkqquuypIlS3LFFVekVatW+fjHP57p06fnRz/6Ub2oBgAAAACr0iq9Ztns2bMzb9687LnnnpX7OnXqlB133DFTp05NkkydOjWdO3euhLIk2XPPPdOsWbNMmzatMmbXXXdNq1atKmOGDRuWmTNn5pVXXlnucy9evDgLFy6s9wMAAAAAK2OVxrJ58+YlSbp161bv/m7dulWWzZs3L127dq23vEWLFunSpUu9Mctbx7uf49+de+656dSpU+WnZ8+eH32DAAAAAFivrDPfhnnqqadmwYIFlZ9//vOfTT0lAAAAANYyqzSW1dTUJEmef/75evc///zzlWU1NTWZP39+veVvvfVWXn755XpjlreOdz/Hv2vdunWqq6vr/QAAAADAylilsaxPnz6pqanJpEmTKvctXLgw06ZNy+DBg5MkgwcPzquvvpr777+/MuZvf/tb6urqsuOOO1bG3H777Vm6dGllzMSJE7PVVltlgw02WJVTBgAAAICKlY5lixYtyvTp0zN9+vQkb1/Uf/r06Zk7d26qqqoyevTo/Nd//VduuummPPzwwznyyCPTo0ePHHTQQUmS2tra7LPPPjn22GNz77335q677sqoUaNy6KGHpkePHkmSL37xi2nVqlWOPvroPProo7n22mtz0UUX5cQTT1xlGw4AAAAA/67Fyj7g73//e3bbbbfK7XcC1lFHHZVx48ZlzJgxef3113Pcccfl1Vdfzc4775xbbrklbdq0qTzmqquuyqhRo7LHHnukWbNmOfjgg3PxxRdXlnfq1Cl/+ctfMnLkyGy//fbZaKONcsYZZ+S44477KNsKAAAAACtUVRRF0dSTaAwLFy5Mp06dsmDBAtcvAxpkRr/aBo+tfXxGI84EoPF5z1s72E/A+sR73tqhoftpTdtHK9OJ1plvwwQAAACAj0osAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUWjT1BACAdc+MfrUNGlf7+IxGngkAAKwcR5YBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUWjT1BGB9MaNfbYPG1T4+o5FnAgAAALwfR5YBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEqrPJaNHTs2VVVV9X769etXWf7mm29m5MiR2XDDDdOhQ4ccfPDBef755+utY+7cudl///3Trl27dO3aNSeffHLeeuutVT1VAAAAAKinUb4N8+Mf/3j++te//t+TtPi/pznhhBNy880353e/+106deqUUaNG5bOf/WzuuuuuJMmyZcuy//77p6amJnfffXeee+65HHnkkWnZsmW+973vNcZ0AQAAACBJI8WyFi1apKam5j33L1iwIJdffnl++9vfZvfdd0+SXHnllamtrc0999yTnXbaKX/5y1/y2GOP5a9//Wu6deuWgQMH5pxzzskpp5ySsWPHplWrVo0xZQAAAABonGuWPfnkk+nRo0c233zzHH744Zk7d26S5P7778/SpUuz5557Vsb269cvm222WaZOnZokmTp1avr3759u3bpVxgwbNiwLFy7Mo48++r7PuXjx4ixcuLDeDwAAAACsjFUey3bccceMGzcut9xySy699NLMnj07u+yyS1577bXMmzcvrVq1SufOnes9plu3bpk3b16SZN68efVC2TvL31n2fs4999x06tSp8tOzZ89Vu2EAAAAArPNW+WmY++67b+XPAwYMyI477phevXrluuuuS9u2bVf101WceuqpOfHEEyu3Fy5cKJgBAAAAsFIa5TTMd+vcuXO23HLLPPXUU6mpqcmSJUvy6quv1hvz/PPPV65xVlNT855vx3zn9vKug/aO1q1bp7q6ut4PAAAAAKyMRo9lixYtyqxZs9K9e/dsv/32admyZSZNmlRZPnPmzMydOzeDBw9OkgwePDgPP/xw5s+fXxkzceLEVFdXZ+utt27s6QIAAACwHlvlp2GedNJJGT58eHr16pVnn302Z555Zpo3b57DDjssnTp1ytFHH50TTzwxXbp0SXV1df7jP/4jgwcPzk477ZQk2XvvvbP11lvniCOOyPnnn5958+bltNNOy8iRI9O6detVPV0AAAAAqFjlseyZZ57JYYcdlpdeeikbb7xxdt5559xzzz3ZeOONkyQXXHBBmjVrloMPPjiLFy/OsGHD8tOf/rTy+ObNm2fChAn52te+lsGDB6d9+/Y56qijcvbZZ6/qqQIAAABAPas8ll1zzTUrXN6mTZtccsklueSSS953TK9evfKnP/1pVU8NAAAAAFao0a9ZBgAAAABrC7EMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFBq0dQTAICVMaNfbYPH1j4+oxFnAgAArIvEMgAAeB+9v31zg8fOOW//RpwJALC6OA0TAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEpiGQAAAACUxDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAAJbEMAAAAAEotmnoCAAAAADRM72/f3OCxc87bvxFnsu4Sy4A1SkPf+L3pAwDQUDP61TZ4bO3jMxpxJsDawGmYAAAAAFASywAAAACg5DRMYO00ttNKjF3QePMAAABgneLIMgAAAAAoiWUAAAAAUHIaJrDO6z++f4PGXdfI8wAAAGDN58gyAAAAACiJZQAAAABQEssAAAAAoOSaZQAAsCqM7dTAcQsadx4AwEfiyDIAAAAAKIllAAAAAFASywAAAACgJJYBAAAAQEksAwAAAICSWAYAAAAApRZNPQEAAFif9B/fv8Fjr2vEeQAAy+fIMgAAAAAoObIMAKCJ9P72zQ0aN+e8/Rt5JgAAvEMsAwBY043ttBJjFzTePAAA1gNOwwQAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlFzgHwAAAFg5vnyGdZgjywAAAACgJJYBAAAAQMlpmACwDur97ZsbPHbOefs34kwAAGDtIpYBAAAArIsaem0515Wrx2mYAAAAAFByZBkAAADAeqz/+P4NHntdI85jTSGWAQAAAI2moSFmfYgwrB2chgkAAAAAJUeWAcD6zoVfAQCgQiwDAFiHONUFAOCjcRomAAAAAJTEMgAAAAAoOQ0TgMbjWlgAAGuN3t++ucFj57RpxIlAExPLAFgpPkStvxp6LazE9bAAAFh7OQ0TAAAAAEqOLAMAAPgIZvSrbdC42sdnNPJMAFgVHFkGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACi5wD8sz9hODRy3oHHnAQAAAKxWYhl8BP3H92/w2OsacR4AAADAquE0TAAAAAAoObKM9Ubvb9/c4LFz2jTiRAAAAIA1liPLAAAAAKAklgEAAABAyWmYADQ5X5YBAACsKRxZBgAAAAAlR5YBAADQ6Br6hVtz2nyxwevs32ezBo1zZDqwMhxZBgAAAAClNfrIsksuuSTf//73M2/evGyzzTb58Y9/nE9+8pNNPS0AgPXKJcf/rcFjR/5s90acCSvS0P1kHwHAiq2xsezaa6/NiSeemJ/97GfZcccdc+GFF2bYsGGZOXNmunbt2tTTW6PM6Ffb4LG1j89oxJmwKvgfkrWD/yEBAICm4/M4jWmNjWU/+tGPcuyxx+bLX/5ykuRnP/tZbr755lxxxRX59re/3cSzAwBWBf9AAACwblqbP+etkbFsyZIluf/++3PqqadW7mvWrFn23HPPTJ06dbmPWbx4cRYvXly5vWDBgiTJwoULG3eyST5x5q0NHvtIm6MbNG6nXps2eJ3jly1r8NjV8XqsqeoW/6vBYxdWFQ0at+yNhr/2ixq4n95Y8nqD17ku7s+G7qeG7qOk4fupofsoafh+Wp/3UdK0v0tJ8oOv/LFB4467cEiD17m2WFv2k/e8des9L1n39tPa8ruUrN9/N60tn8fXxdd+Zawt73kN/fyQrHufIRrjPS/xeXxVW1v+blrTPj+88xxF8cGvSVXRkFGr2bPPPptNNtkkd999dwYPHly5f8yYMZkyZUqmTZv2nseMHTs2Z5111uqcJgAAAABrkX/+85/ZdNMV/4PIGnlk2Ydx6qmn5sQTT6zcrqury8svv5wNN9wwVVVVTTizVWfhwoXp2bNn/vnPf6a6urqpp8Ny2EdrB/tp7WA/rfnso7WD/bR2sJ/WfPbR2sF+WjvYT2uHdW0/FUWR1157LT169PjAsWtkLNtoo43SvHnzPP/88/Xuf/7551NTU7Pcx7Ru3TqtW7eud1/nzp0ba4pNqrq6ep34D3VdZh+tHeyntYP9tOazj9YO9tPawX5a89lHawf7ae1gP60d1qX91KlTpwaNa9bI8/hQWrVqle233z6TJk2q3FdXV5dJkybVOy0TAAAAAFalNfLIsiQ58cQTc9RRR2XQoEH55Cc/mQsvvDCvv/565dsxAQAAAGBVW2Nj2Re+8IW88MILOeOMMzJv3rwMHDgwt9xyS7p169bUU2syrVu3zplnnvme001Zc9hHawf7ae1gP6357KO1g/20drCf1nz20drBflo72E9rh/V5P62R34YJAAAAAE1hjbxmGQAAAAA0BbEMAAAAAEpiGQAAAACUxLI13Jw5c1JVVZXp06c39VR4H/YRfHhDhw7N6NGjm3oarKSqqqrceOONTT0NgFVu3Lhx6dy5c+X22LFjM3DgwBU+xmfBdc/kyZNTVVWVV199tamnAjQRsQyAtYIPrsD6yj8sNJ2TTjopkyZNqtweMWJEDjrooHpjevbsmeeeey6f+MQnVvPsYN3n8x9NRSwDAKBi6dKlTT0FWGN06NAhG2644QrHNG/ePDU1NWnRosVqmtX6acmSJU09BWA9IpatAW655ZbsvPPO6dy5czbccMMccMABmTVrVr0xjz/+eP7f//t/adOmTT7xiU9kypQp9ZY/+uijOeCAA1JdXZ2OHTtml112ec86+Gjq6upy/vnnZ4sttkjr1q2z2Wab5bvf/W5l+Yr20SuvvJLDDz88G2+8cdq2bZu+ffvmyiuvbIrNWKe93z565/SIP/zhD9ltt93Srl27bLPNNpk6dWrlse+cdnHrrbemtrY2HTp0yD777JPnnnuuCbdo/fLrX/86gwYNSseOHVNTU5MvfvGLmT9/fpK3T3HZbbfdkiQbbLBBqqqqMmLEiCac7bpt6NCh+cY3vpExY8akS5cuqampydixY+uNee6557Lvvvumbdu22XzzzfP73/++3vJnnnkmhx12WLp06ZL27dtn0KBBmTZt2mrcivXDB+2rqqqqXHrppe+7r955f7z22mszZMiQtGnTJldddVUTbMm6bUX76Stf+UoOOOCAeuOXLl2arl275vLLL8+IESMyZcqUXHTRRamqqkpVVVXmzJmz+jdiLTF06NCMGjUqo0aNSqdOnbLRRhvl9NNPT1EUSd7+THbkkUdmgw02SLt27bLvvvvmySeffN/1vfs0zLFjx2b8+PH5n//5n8q+mDx58nJPw1zRZ/O6urqcffbZ2XTTTdO6desMHDgwt9xyS6O9JmuqD9pXvXv3zjnnnJMjjzwy1dXVOe6445Ik119/fT7+8Y+ndevW6d27d374wx/WW+87jzvssMPSvn37bLLJJrnkkksqy5e3v1599dXK/ny3u+66KwMGDEibNm2y00475ZFHHmmcF2Mt17t371x44YX17hs4cGDGjh2boigyduzYbLbZZmndunV69OiRb3zjG5VxPv81jgkTJqRz585ZtmxZkmT69OmpqqrKt7/97cqYY445Jl/60pfy0ksv5bDDDssmm2ySdu3apX///rn66qvrre+Dfl+TlX9/XeMVNLnf//73xfXXX188+eSTxQMPPFAMHz686N+/f7Fs2bJi9uzZRZJi0003LX7/+98Xjz32WHHMMccUHTt2LF588cWiKIrimWeeKbp06VJ89rOfLe67775i5syZxRVXXFE8/vjjTbxl65YxY8YUG2ywQTFu3LjiqaeeKu64447isssua9A+GjlyZDFw4MDivvvuK2bPnl1MnDixuOmmm5p4i9Y9H7SP+vXrV0yYMKGYOXNm8bnPfa7o1atXsXTp0qIoiuLKK68sWrZsWey5557FfffdV9x///1FbW1t8cUvfrGJt2rdNmTIkOKb3/xmURRFcfnllxd/+tOfilmzZhVTp04tBg8eXOy7775FURTFW2+9VVx//fVFkmLmzJnFc889V7z66qtNOPN125AhQ4rq6upi7NixxRNPPFGMHz++qKqqKv7yl78URVEUSYoNN9ywuOyyy4qZM2cWp512WtG8efPiscceK4qiKF577bVi8803L3bZZZfijjvuKJ588sni2muvLe6+++6m3Kx10kfdV++8P/bu3bu4/vrri6effrp49tlnm3KT1kkr2k933XVX0bx583qv+x/+8Ieiffv2xWuvvVa8+uqrxeDBg4tjjz22eO6554rnnnuueOutt5pwa9ZsQ4YMKTp06FB885vfLB5//PHiN7/5TdGuXbviF7/4RVEURfHpT3+6qK2tLW6//fZi+vTpxbBhw4otttiiWLJkSVEUb38e6NSpU2V9Z555ZrHNNtsURfH2e9shhxxS7LPPPpV9sXjx4srv0QMPPFAUxQd/Nv/Rj35UVFdXF1dffXXx+OOPF2PGjClatmxZPPHEE6vtdVoTfNC+6tWrV1FdXV384Ac/KJ566qniqaeeKv7+978XzZo1K84+++xi5syZxZVXXlm0bdu2uPLKKyvr7dWrV9GxY8fi3HPPLWbOnFlcfPHFRfPmzSvvi/++v4qiKF555ZUiSXHbbbcVRVEUt912W5GkqK2tLf7yl78UDz30UHHAAQcUvXv3rvy3wv/p1atXccEFF9S7b5tttinOPPPM4ne/+11RXV1d/OlPfyr+8Y9/FNOmTavs46Lw+a+xvPrqq0WzZs2K++67ryiKorjwwguLjTbaqNhxxx0rY7bYYovisssuK5555pni+9//fvHAAw8Us2bNqvzOTJs2rTL2g35fi+KD31/XNmLZGuiFF14okhQPP/xw5c38vPPOqyxfunRpsemmmxb//d//XRRFUZx66qlFnz591tr/CNcGCxcuLFq3bl1cdtll71nWkH00fPjw4stf/vJqm+/6qCH76Je//GXlvkcffbRIUsyYMaMoirc/HCcpnnrqqcqYSy65pOjWrVvjT3499u5Y9u/uu+++Iknx2muvFUXxfx9cX3nlldU3wfXUkCFDip133rnefTvssENxyimnFEXxdoA5/vjj6y3fcccdi6997WtFURTFz3/+86Jjx47FSy+9tHomvB77qPvqnffHCy+8cPVMeD31Qftp6623rnxmKIq3PzeMGDGi3uPf772S+oYMGVLU1tYWdXV1lftOOeWUora2tnjiiSeKJMVdd91VWfbiiy8Wbdu2La677rqiKFYcy4qiKI466qjiwAMPrPec/x5fPuizeY8ePYrvfve79e7bYYcdiq9//esfYovXXivaV0XxdoA56KCD6j3mi1/8YrHXXnvVu+/kk08utt5668rtXr16Ffvss0+9MV/4whcqAWZlYtk111xTGfPSSy8Vbdu2La699toPv9HrqBXFsh/+8IfFlltu2eD/V/X5b9XZbrvtiu9///tFURTFQQcdVHz3u98tWrVqVbz22mvFM888UyR530i///77F9/61rcqtz/o97Uh769rG6dhrgGefPLJHHbYYdl8881TXV2d3r17J0nmzp1bGTN48ODKn1u0aJFBgwZlxowZSd4+pHKXXXZJy5YtV+u81yczZszI4sWLs8cee7zvmBXto6997Wu55pprMnDgwIwZMyZ33313o895fdOQfTRgwIDKn7t3754klcO8k6Rdu3b52Mc+Vm/Mu5fTuO6///4MHz48m222WTp27JghQ4Ykqf9eyOrz7t+X5L2/D+9+z3vn9rv/Xtp2223TpUuXxp8oH2lfvWPQoEGNN0GSrHg/HXPMMZXLMzz//PP585//nK985SurfY7rip122ilVVVWV24MHD86TTz6Zxx57LC1atMiOO+5YWbbhhhtmq622es/vxEexos/mCxcuzLPPPptPfepT9e7/1Kc+tUrnsLZ4v331zqlj//7eNGPGjOW+du9+zDvrebflve81xLvX06VLl1X+38r64POf/3zeeOONbL755jn22GNzww035K233qos9/mv8QwZMiSTJ09OURS544478tnPfja1tbW58847M2XKlPTo0SN9+/bNsmXLcs4556R///7p0qVLOnTokFtvvfU9+2BFv68zZsxYLe+vq5NYtgYYPnx4Xn755Vx22WWZNm1a5ZouDb2IZdu2bRtzeuSjv8b77rtv/vGPf+SEE07Is88+mz322CMnnXTSKpodScP20bs/tL7zRl9XV7fc5e+MKd51Hj6N5/XXX8+wYcNSXV2dq666Kvfdd19uuOGGJC7o21SW9/vw7t+XFfH30ur1UfbVO9q3b78qp8RyrGg/HXnkkXn66aczderU/OY3v0mfPn2yyy67NMU0WQW8B646jfHe1KzZ2/8L/O7PeL7Y5KNp1qzZez4zv/Oa9uzZMzNnzsxPf/rTtG3bNl//+tez6667ZunSpT7/NbKhQ4fmzjvvzIMPPpiWLVumX79+GTp0aCZPnpwpU6ZUwuT3v//9XHTRRTnllFNy2223Zfr06Rk2bNh6vw/Esib20ksvZebMmTnttNOyxx57pLa2Nq+88sp7xt1zzz2VP7/11lu5//77U1tbm+Ttf6m84447vMk3or59+6Zt27b1vjr8361oHyXJxhtvnKOOOiq/+c1vcuGFF+YXv/hFo855fdOQfcSa6/HHH89LL72U8847L7vsskv69ev3nqP6WrVqlST1/uWYpvPu97x3br/776Xp06fn5Zdfboqp8W9WtK9YM2y44YY56KCDcuWVV2bcuHH58pe/XG95q1atvPethH//MpF77rknffv2zdZbb5233nqr3vJ3PotvvfXWDVp3Q/bFij6bV1dXp0ePHrnrrrvq3X/XXXc1eA7rkvfbV82bN1/u+Nra2uW+dltuuWW9x6zofW/jjTdOknpf4vTui/3/++Pe8corr+SJJ57w/rkcG2+8cb3Xc+HChZk9e3bldtu2bTN8+PBcfPHFmTx5cqZOnZqHH37Y579Gtssuu+S1117LBRdcUAlj78SyyZMnZ+jQoUne/h068MAD86UvfSnbbLNNNt988zzxxBPvWd+Kfl9ra2s/8vvrmkYsa2IbbLBBNtxww/ziF7/IU089lb/97W858cQT3zPukksuyQ033JDHH388I0eOzCuvvFI5PH/UqFFZuHBhDj300Pz973/Pk08+mV//+teZOXPm6t6cdVabNm1yyimnZMyYMfnVr36VWbNm5Z577snll19eGbOifXTGGWfkf/7nf/LUU0/l0UcfzYQJE/xFu4o1ZB+x5tpss83SqlWr/PjHP87TTz+dm266Keecc069Mb169UpVVVUmTJiQF154IYsWLWqi2ZIkv/vd73LFFVfkiSeeyJlnnpl77703o0aNSpIcdthhqampyUEHHZS77rorTz/9dK6//vp630DL6rOifcWa45hjjsn48eMzY8aMHHXUUfWW9e7dO9OmTcucOXPy4osvrvSRg+ubuXPn5sQTT8zMmTNz9dVX58c//nG++c1vpm/fvjnwwANz7LHHVo62+NKXvpRNNtkkBx54YIPW3bt37zz00EOZOXNmXnzxxeUGsQ/6bH7yySfnv//7v3Pttddm5syZ+fa3v53p06fnm9/85ip9HdYG77ev3s+3vvWtTJo0Keecc06eeOKJjB8/Pj/5yU/ec8bGXXfdlfPPPz9PPPFELrnkkvzud7+rrLdt27bZaaedct5552XGjBmZMmVKTjvttOU+39lnn51JkyblkUceyYgRI7LRRhvloIMOWmXbv67Yfffd8+tf/zp33HFHHn744Rx11FGVeDlu3LhcfvnleeSRR/L000/nN7/5Tdq2bZtevXr5/NfINthggwwYMCBXXXVVJYztuuuu+d///d888cQTlYDWt2/fTJw4MXfffXdmzJiRr371q3n++effs74V/b6uivfXNU7TXjKNoiiKiRMnFrW1tUXr1q2LAQMGFJMnTy6SFDfccEPlApS//e1vi09+8pNFq1atiq233rr429/+Vm8dDz74YLH33nsX7dq1Kzp27FjssssuxaxZs5poi9ZNy5YtK/7rv/6r6NWrV9GyZctis802K773ve81aB+dc845RW1tbdG2bduiS5cuxYEHHlg8/fTTTbg166YP2kcrupDrv1/QtyiK4oYbbii8TTaud1+0+re//W3Ru3fvonXr1sXgwYOLm2666T377eyzzy5qamqKqqqq4qijjmqSOa8Plncx8QMPPLDymicpLrnkkmKvvfYqWrduXfTu3fs9FzyeM2dOcfDBBxfV1dVFu3btikGDBtX7ViVWjY+6r5b3/siq90H7qSiKoq6urujVq1ex3377vefxM2fOLHbaaaeibdu2RZJi9uzZjTvhtdiQIUOKr3/968Xxxx9fVFdXFxtssEHxn//5n5WLUr/88svFEUccUXTq1Klo27ZtMWzYsHoXuP6gC/zPnz+/2GuvvYoOHTpUPkcs7/doRZ/Nly1bVowdO7bYZJNNipYtWxbbbLNN8ec//7lRX5c10Qftq+VdNL4oiuL3v/99sfXWW1c+671zAfN39OrVqzjrrLOKz3/+80W7du2Kmpqa4qKLLqo35rHHHisGDx5ctG3bthg4cGDxl7/8ZbkX+P/jH/9YfPzjHy9atWpVfPKTnywefPDBRnkt1nYLFiwovvCFLxTV1dVFz549i3HjxlUu8H/DDTcUO+64Y1FdXV20b9++2GmnnYq//vWvlcf6/Ne4vvnNb9b7UrOiePvLF2pqaiq3X3rppeLAAw8sOnToUHTt2rU47bTTiiOPPLLel5l80O9rUXzw++vapqooXJAHAGBdVFVVlRtuuMGREGuBRYsWZZNNNsmVV16Zz372s009nbXW0KFDM3DgwFx44YVNPRU+QGPtq969e2f06NEZPXr0Kl0vrM/Wx/fWFk09AQAAWF/V1dXlxRdfzA9/+MN07tw5n/70p5t6SgCw3hPLAACgicydOzd9+vTJpptumnHjxqVFCx/PAaCpOQ0TAAAAAEq+DRMAAAAASmIZAAAAAJTEMgAAAAAoiWUAAAAAUBLLAADWMHPmzElVVVWmT5/e1FNpkKFDh2b06NFNPQ0AgFVCLAMAAACAklgGAAAAACWxDACgidTV1eX888/PFltskdatW2ezzTbLd7/73cryp59+OrvttlvatWuXbbbZJlOnTq0se+mll3LYYYdlk002Sbt27dK/f/9cffXV9dY/dOjQfOMb38iYMWPSpUuX1NTUZOzYsfXGVFVV5Ze//GU+85nPpF27dunbt29uuummemMeeeSR7LvvvunQoUO6deuWI444Ii+++OKqf0EAANYAYhkAQBM59dRTc9555+X000/PY489lt/+9rfp1q1bZfl3vvOdnHTSSZk+fXq23HLLHHbYYXnrrbeSJG+++Wa233773HzzzXnkkUdy3HHH5Ygjjsi9995b7znGjx+f9u3bZ9q0aTn//PNz9tlnZ+LEifXGnHXWWTnkkEPy0EMPZb/99svhhx+el19+OUny6quvZvfdd8+2226bv//977nlllvy/PPP55BDDmnkVwcAoGlUFUVRNPUkAADWN6+99lo23njj/OQnP8kxxxxTb9mcOXPSp0+f/PKXv8zRRx+dJHnsscfy8Y9/PDNmzEi/fv2Wu84DDjgg/fr1yw9+8IMkbx9ZtmzZstxxxx2VMZ/85Cez++6757zzzkvy9pFlp512Ws4555wkyeuvv54OHTrkz3/+c/bZZ5/813/9V+64447ceuutlXU888wz6dmzZ2bOnJktt9wyQ4cOzcCBA3PhhReustcHAKCptGjqCQAArI9mzJiRxYsXZ4899njfMQMGDKj8uXv37kmS+fPnp1+/flm2bFm+973v5brrrsv/9//9f1myZEkWL16cdu3ave863lnP/Pnz33dM+/btU11dXRnz4IMP5rbbbkuHDh3eM79Zs2Zlyy23bOAWAwCsHcQyAIAm0LZt2w8c07Jly8qfq6qqkrx9nbMk+f73v5+LLrooF154Yfr375/27dtn9OjRWbJkyfuu4531vLOOhoxZtGhRhg8fnv/+7/9+z/zeCXgAAOsSsQwAoAn07ds3bdu2zaRJk95zGmZD3HXXXTnwwAPzpS99KcnbEe2JJ57I1ltvvUrnud122+X6669P796906KFj44AwLrPBf4BAJpAmzZtcsopp2TMmDH51a9+lVmzZuWee+7J5Zdf3qDH9+3bNxMnTszdd9+dGTNm5Ktf/Wqef/75VT7PkSNH5uWXX85hhx2W++67L7Nmzcqtt96aL3/5y1m2bNkqfz4AgKbmnwcBAJrI6aefnhYtWuSMM87Is88+m+7du+f4449v0GNPO+20PP300xk2bFjatWuX4447LgcddFAWLFiwSufYo0eP3HXXXTnllFOy9957Z/HixenVq1f22WefNGvm310BgHWPb8MEAAAAgJJ/DgQAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlMQyAAAAACiJZQAAAABQEssAAAAAoCSWAQAAAEBJLAMAAACAklgGAAAAACWxDAAAAABKYhkAAAAAlP5/HHZJfgzdBPoAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":["def plot_by(channel):\n","  df1[df1['channel'] == channel].groupby(['channel', 'preds']).size().unstack(fill_value=0).plot(kind='bar', figsize=(10, 5), rot=0)\n"],"metadata":{"id":"f1fzkD2bwKhF","executionInfo":{"status":"ok","timestamp":1688414853663,"user_tz":420,"elapsed":306,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":32,"outputs":[]},{"cell_type":"code","source":["for channel in df1['channel'].unique():\n","  plot_by(channel)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"QtwMWFCMw6Vk","executionInfo":{"status":"ok","timestamp":1688414857655,"user_tz":420,"elapsed":2963,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"0be6aa09-7089-47d6-bfd7-d35c6968d397"},"execution_count":33,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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Wr16tZcuW2cyRk5OjrVu3KiUlRSkpKcrIyNDixYuv2P/IkSP12muvacWKFcrKytKLL74oLy+v2v1SaojL3gAAAIAGLCoqSnPnzpUkhYeH67nnnlNaWpr69OljU5eXl6fw8HB1795dJpNJISEhl8z1hz/8QY888ogkaeHChUpNTdWzzz6r559/XpI0a9Ysa21oaKimTp2qDRs2aNq0adbPKysrlZycLG9vb0nSiBEjlJaWpkWLFl1yvCNHjuj1119XamqqevfuLUlq0aJFbX4dtUL4AQAAABqwqKgom/3AwEAVFhZeUjd69Gj16dNHrVu3Vr9+/XTvvfeqb9++NjXR0dGX7B88eNC6v3HjRq1YsUI5OTkqKSnRhQsXZDabbb4TGhpqDT5X60eSDh48KEdHR/Xo0eO6zrW+cdkbAAAA0ID9+slpJpNJlZWVl9R17NhRubm5WrhwoX7++WcNGTJEDzzwwHUfJzMzU/Hx8RowYIBSUlJ04MABzZw5U2VlZTXqR5Lc3d2v+/g3AuEHAAAAuEmYzWYNHTpUq1ev1saNG7V582adPn3aOr5r1y6b+l27dikyMlKStHPnToWEhGjmzJnq3LmzwsPD9d1339Wqn7Zt26qyslIZGRm1mqeucNkbAAAAcBN4+umnFRgYqA4dOsjBwUGbNm2SxWKRr6+vtWbTpk3q3LmzunfvrnXr1mnPnj3WJ6+Fh4crLy9PGzZsUJcuXfT2229ry5YtteopNDRUo0aN0sMPP6wVK1aoXbt2+u6771RYWKghQ4bUau6aYOUHAAAAuAl4e3tryZIl6ty5s7p06aJjx47pnXfekYPD//8n//z587VhwwZFRUXp1Vdf1WuvvaY2bdpIkn73u99p8uTJSkxMVPv27bVz507Nnj271n2tWrVKDzzwgB577DFFRERo7NixOnfuXK3nrQlTVVVVlV2OXAvFxcXy8fFRUVHRJTdgAQDQEGRFRNq7hUYp8uusaxcBNXD+/Hnl5uYqLCxMbm5u9m7HLkwmk7Zs2aJBgwbZu5Vqu9qfX3WyASs/AAAAAAyB8AMAAADAEHjgAQAAAGAAjfBulzrHyg8AAAAAQyD8AAAAADAEwg8AAAAAQyD8AAAAADCEaoWfpKQkdenSRd7e3vL399egQYOUnZ1tUxMTEyOTyWSzjR8/3qYmLy9PAwcOlIeHh/z9/fX444/rwoULtT8bAAAAALiCaj3tLSMjQwkJCerSpYsuXLigv/71r+rbt68OHz4sT09Pa93YsWO1YMEC676Hh4f154qKCg0cOFAWi0U7d+7UyZMnNXLkSDk7O+vJJ5+sg1MCAAAAgEtVa+Vn+/btGj16tH7729+qXbt2Sk5OVl5envbv329T5+HhIYvFYt3+75tW33//fR0+fFj//ve/1b59e/Xv318LFy7UypUrVVZWVjdnBQAAABiAyWTS1q1ba/Td9PR0mUwmnTlz5oo1ycnJ8vX1rdH8NT1mfarVe36KiookSX5+fjafr1u3Tv/+979lsVgUFxen2bNnW1d/MjMz1bZtWwUEBFjrY2NjNWHCBH311Vfq0KHDJccpLS1VaWmpdb+4uLg2bQMAAACSpLZr297Q430x6osbejzYqnH4qays1KRJk3TnnXfq9ttvt37+xz/+USEhIQoKCtKhQ4c0ffp0ZWdn680335Qk5efn2wQfSdb9/Pz8yx4rKSlJ8+fPr2mrAAAAAFDzp70lJCToyy+/1IYNG2w+HzdunGJjY9W2bVvFx8fr1Vdf1ZYtW5STk1PjJmfMmKGioiLr9v3339d4LgAAAKCxiImJ0cSJEzVt2jT5+fnJYrFo3rx5NjU//PCD7rvvPnl4eCg8PFxvvfVWtY7x6aefKioqSm5uburWrZu+/PLLK9bm5OTo97//vQICAuTl5aUuXbrogw8+sKkpLS3V9OnTFRwcLFdXV7Vs2VJr1qy57Hw//fST+vfvrzvvvPOGXApXo/CTmJiolJQUffTRR7rtttuuWtu1a1dJ0tGjRyVJFotFBQUFNjUX9y0Wy2XncHV1ldlsttkAAAAAI1i7dq08PT21e/duLVmyRAsWLFBqaqp1fP78+RoyZIgOHTqkAQMGKD4+XqdPn77u+R9//HE99dRT2rt3r5o1a6a4uDiVl5dftrakpEQDBgxQWlqaDhw4oH79+ikuLk55eXnWmpEjR+q1117TihUrlJWVpRdffFFeXl6XzHXmzBn16dNHlZWVSk1NrdN7i66kWuGnqqpKiYmJ2rJliz788EOFhYVd8zsHDx6UJAUGBkqSoqOj9cUXX6iwsNBak5qaKrPZrDZt2lSnHQAAAOCmFxUVpblz5yo8PFwjR45U586dlZaWZh0fPXq0hg8frpYtW+rJJ59USUmJ9uzZc93zz507V3369FHbtm21du1aFRQUaMuWLZetbdeunR599FHdfvvtCg8P18KFC/Wb3/zGutp05MgRvf7663r55Zd13333qUWLFurVq5eGDh1qM09+fr569OihwMBAbdu2zebp0PWpWvf8JCQkaP369frPf/4jb29v6z06Pj4+cnd3V05OjtavX68BAwaoadOmOnTokCZPnqy7775bUVFRkqS+ffuqTZs2GjFihJYsWaL8/HzNmjVLCQkJcnV1rfszBAAAABqxi/+OvigwMNBmIeH/jnt6espsNtuMX0t0dLT1Zz8/P7Vu3VpZWVmXrS0pKdG8efP09ttv6+TJk7pw4YJ+/vln68rPwYMH5ejoqB49elz1mH369NEdd9yhjRs3ytHR8bp7ra1qrfysWrVKRUVFiomJUWBgoHXbuHGjJMnFxUUffPCB+vbtq4iICP3lL3/R4MGDtW3bNuscjo6OSklJkaOjo6Kjo/Xggw9q5MiRNu8FAgAAAPALZ2dnm32TyaTKysrrHq9LU6dO1ZYtW/Tkk0/qk08+0cGDB9W2bVvrK2vc3d2va56BAwfq448/1uHDh+ulzyup1spPVVXVVceDg4OVkZFxzXlCQkL0zjvvVOfQAAAAAOrBrl271Lx5c0nSf//7Xx05ckSRkZGXrf300081evRo3XfffZJ+WQk6duyYdbxt27aqrKxURkaGevfufcVjLl68WF5eXurVq5fS09Nv2O0vtXrPDwAAAIDGbcGCBWratKkCAgI0c+ZM3XLLLRo0aNBla8PDw/Xmm28qLi5OJpNJs2fPtlllCg0N1ahRo/Twww9rxYoVateunb777jsVFhZqyJAhNnMtXbpUFRUV6tmzp9LT0xUREVGfpympFo+6BgAAAND4LV68WH/+85/VqVMn5efna9u2bXJxcbls7dNPP60mTZrof/7nfxQXF6fY2Fh17NjRpmbVqlV64IEH9NhjjykiIkJjx47VuXPnLjvfsmXLNGTIEPXs2VNHjhyp83P7NVPVta5la4CKi4vl4+OjoqIiHnsNAGiQsiIuf8kIri7y68vfZA3U1vnz55Wbm6uwsDC5ubnZux1U09X+/KqTDVj5AQAAAGAIhB8AAADgJjR+/Hh5eXlddhs/fry927MLHngAAAAA3IQWLFigqVOnXnbMqLeOEH4AAACAm5C/v7/8/f3t3UaDwmVvAAAAAAyB8AMAAADAEAg/AAAAAAyB8AMAAADAEAg/AAAAAAyB8AMAAADAEHjUNQAAAAwrKyLyhh4v8uusOp3PZDJpy5YtGjRoUJ3OezmhoaGaNGmSJk2adNnxY8eOKSwsTAcOHFD79u3rvZ+aYOUHAAAAQK0FBwfr5MmTuv322yVJ6enpMplMOnPmjH0b+z9Y+QEAAABQa46OjrJYLPZu46pY+QEAAAAaqJiYGE2cOFHTpk2Tn5+fLBaL5s2bZ1Pzww8/6L777pOHh4fCw8P11ltvXdfcnTt31tKlS637gwYNkrOzs0pKSiRJx48fl8lk0tGjR601P/30kx5++GF5e3urefPm+uc//2kdO3bsmEwmkw4ePKhjx47pnnvukSQ1adJEJpNJo0ePliRVVlYqKSlJYWFhcnd3V7t27fTGG2/U5NdTbYQfAAAAoAFbu3atPD09tXv3bi1ZskQLFixQamqqdXz+/PkaMmSIDh06pAEDBig+Pl6nT5++5rw9evRQenq6JKmqqkqffPKJfH19tWPHDklSRkaGbr31VrVs2dL6naeeekqdO3fWgQMH9Nhjj2nChAnKzs6+ZO7g4GBt3rxZkpSdna2TJ09q+fLlkqSkpCS9+uqreuGFF/TVV19p8uTJevDBB5WRkVHj39H1IvwAAAAADVhUVJTmzp2r8PBwjRw5Up07d1ZaWpp1fPTo0Ro+fLhatmypJ598UiUlJdqzZ881542JidGOHTtUUVGhQ4cOycXFRfHx8dZAlJ6erh49eth8Z8CAAXrsscfUsmVLTZ8+Xbfccos++uijS+Z2dHSUn5+fJMnf318Wi0U+Pj4qLS3Vk08+qZdfflmxsbFq0aKFRo8erQcffFAvvvhiLX5L14d7fgAAAIAGLCoqymY/MDBQhYWFlx339PSU2Wy2Gb+Su+66S2fPntWBAwe0c+dO9ejRQzExMVq8eLGkX1Z+Hn/88Sv2YjKZZLFYrutYFx09elQ//fST+vTpY/N5WVmZOnTocN3z1BThBwAAAGjAnJ2dbfZNJpMqKyuve/xKfH191a5dO6WnpyszM1N9+vTR3XffraFDh+rIkSP65ptvLln5qemxLrp4P9Hbb7+tW2+91WbM1dX1uuepKcIPAAAAYFA9evTQRx99pD179mjRokXy8/NTZGSkFi1apMDAQLVq1arGc7u4uEiSKioqrJ+1adNGrq6uysvLuyRY3Qjc8wMAAAAYVExMjN577z05OTkpIiLC+tm6detqHU5CQkJkMpmUkpKiU6dOqaSkRN7e3po6daomT56stWvXKicnR5999pmeffZZrV27ti5O6apY+QEAAIBhRX6dZe8W7Oquu+5SZWWlTdCJiYnR8uXLFRMTU6u5b731Vs2fP19PPPGEHnroIY0cOVLJyclauHChmjVrpqSkJH377bfy9fVVx44d9de//rWWZ3Ntpqqqqqp6P0odKy4ulo+Pj4qKimQ2m+3dDgAAl8iKiLR3C42S0f8hivpz/vx55ebmKiwsTG5ubvZuB9V0tT+/6mQDLnsDAAAAYAiEHwAAAOAmNH78eHl5eV12Gz9+vL3bswvu+QEAAABuQgsWLNDUqVMvO2bUW0cIPwAAAMBNyN/fX/7+/vZuo0HhsjcAAAAAhkD4AQAAAGAIhB8AAAAAhkD4AQAAAGAIhB8AAAAAhkD4AQAAAG4yMTExmjRpkr3baHB41DUAAAAMa+X4D2/o8RJe6Fmn86Wnp+uee+7Rf//7X/n6+tbp3DcjVn4AAAAAXFNZWZm9W6g1wg8AAADQgJWWlmrixIny9/eXm5ubunfvrr179+rYsWO65557JElNmjSRyWTS6NGjrd+rrKzUtGnT5OfnJ4vFonnz5tnMe+bMGT3yyCNq1qyZzGazevbsqc8//9w6Pm/ePLVv314vvfSSwsLC5ObmdiNOt14RfgAAAIAGbNq0adq8ebPWrl2rzz77TC1btlRsbKy8vb21efNmSVJ2drZOnjyp5cuXW7+3du1aeXp6avfu3VqyZIkWLFig1NRU6/gf/vAHFRYW6t1339X+/fvVsWNH9erVS6dPn7bWHD16VJs3b9abb76pgwcP3rBzri/c8wMAAAA0UOfOndOqVauUnJys/v37S5JWr16t1NRUvfzyy+rSpYskyd/f/5J7fqKiojR37lxJUnh4uJ577jmlpaWpT58+2rFjh/bs2aPCwkK5urpKkpYuXaqtW7fqjTfe0Lhx4yT9cqnbq6++qmbNmt2gM65fhB8AAACggcrJyVF5ebnuvPNO62fOzs664447lJWVZQ0/lxMVFWWzHxgYqMLCQknS559/rpKSEjVt2tSm5ueff1ZOTo51PyQk5KYJPhLhBwAAALgpOTs72+ybTCZVVlZKkkpKShQYGKj09PRLvvd/V5A8PT3rs8UbjvADAAAANFC/+c1v5OLiok8//VQhISGSpPLycu3du1eTJk2Si4uLJKmioqJa83bs2FH5+flycnJSaGhoXbfdYPHAAwAAAKCB8vT01IQJE/T4449r+/btOnz4sMaOHauffvpJY8aMUUhIiEwmk1JSUnTq1CmVlJRc17y9e/dWdHS0Bg0apPfff1/Hjh3Tzp07NXPmTO3bt6+ez8p+WPkBAACAYdX1S0frw+LFi1VZWakRI0bo7Nmz6ty5s9577z01adJETZo00fz58/XEE0/ooYce0siRI5WcnHzNOU0mk9555x3NnDlTDz30kE6dOiWLxaK7775bAQEB9X9SdmKqqqqqsncT1VVcXCwfHx8VFRXJbDbbux0AAC6RFRFp7xYapcivs+zdAm5S58+fV25u7k3zvhqjudqfX3WyAZe9AQAAADAEwg8AAAAAQyD8AAAAADAEwg8AAAAAQ6hW+ElKSlKXLl3k7e0tf39/DRo0SNnZ2TY158+fV0JCgpo2bSovLy8NHjxYBQUFNjV5eXkaOHCgPDw85O/vr8cff1wXLlyo/dkAAAAAV9EIn/UF1d2fW7XCT0ZGhhISErRr1y6lpqaqvLxcffv21blz56w1kydP1rZt27Rp0yZlZGToxIkTuv/++63jFRUVGjhwoMrKyrRz506tXbtWycnJmjNnTp2cEAAAAPBrjo6OkqSysjI7d4Ka+OmnnyRJzs7OtZqnVo+6PnXqlPz9/ZWRkaG7775bRUVFatasmdavX68HHnhAkvT1118rMjJSmZmZ6tatm959913de++9OnHihPUZ4i+88IKmT5+uU6dOWd9SezU86hoA0NDxqOua4VHXqC9VVVXKy8tTeXm5goKC5ODA3R+NQVVVlX766ScVFhbK19dXgYGBl9RUJxvU6iWnRUVFkiQ/Pz9J0v79+1VeXq7evXtbayIiItS8eXNr+MnMzFTbtm1tXp4UGxurCRMm6KuvvlKHDh1q0xIAAABwCZPJpMDAQOXm5uq7776zdzuoJl9fX1ksllrPU+PwU1lZqUmTJunOO+/U7bffLknKz8+Xi4uLfH19bWoDAgKUn59vrfn1W2Mv7l+s+bXS0lKVlpZa94uLi2vaNgAAAAzKxcVF4eHhXPrWyDg7O1svW6ytGoefhIQEffnll9qxY0edNHI1SUlJmj9/fr0fBwAAADc3BwcHubm52bsN2EmNLnZMTExUSkqKPvroI912223Wzy0Wi8rKynTmzBmb+oKCAusylcViueTpbxf3r7SUNWPGDBUVFVm377//viZtAwAAADCwaoWfqqoqJSYmasuWLfrwww8VFhZmM96pUyc5OzsrLS3N+ll2drby8vIUHR0tSYqOjtYXX3yhwsJCa01qaqrMZrPatGlz2eO6urrKbDbbbAAAAABQHdW67C0hIUHr16/Xf/7zH3l7e1vv0fHx8ZG7u7t8fHw0ZswYTZkyRX5+fjKbzfrTn/6k6OhodevWTZLUt29ftWnTRiNGjNCSJUuUn5+vWbNmKSEhQa6urnV/hgAAAACgaoafVatWSZJiYmJsPn/llVc0evRoSdKyZcvk4OCgwYMHq7S0VLGxsXr++eettY6OjkpJSdGECRMUHR0tT09PjRo1SgsWLKjdmQAAAADAVdTqPT/2wnt+AAANHe/5qRne8wOguqqTDXi7EwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDIPwAAAAAMATCDwAAAABDqHb4+fjjjxUXF6egoCCZTCZt3brVZnz06NEymUw2W79+/WxqTp8+rfj4eJnNZvn6+mrMmDEqKSmp1YkAAAAAwNVUO/ycO3dO7dq108qVK69Y069fP508edK6vfbaazbj8fHx+uqrr5SamqqUlBR9/PHHGjduXPW7BwAAAIDr5FTdL/Tv31/9+/e/ao2rq6ssFstlx7KysrR9+3bt3btXnTt3liQ9++yzGjBggJYuXaqgoKDqtgQAAAAA11Qv9/ykp6fL399frVu31oQJE/Tjjz9axzIzM+Xr62sNPpLUu3dvOTg4aPfu3Zedr7S0VMXFxTYbAAAAAFRHnYeffv366dVXX1VaWpr+/ve/KyMjQ/3791dFRYUkKT8/X/7+/jbfcXJykp+fn/Lz8y87Z1JSknx8fKxbcHBwXbcNAAAA4CZX7cvermXYsGHWn9u2bauoqCj95je/UXp6unr16lWjOWfMmKEpU6ZY94uLiwlAAAAAAKql3h913aJFC91yyy06evSoJMlisaiwsNCm5sKFCzp9+vQV7xNydXWV2Wy22QAAAACgOuo9/Bw/flw//vijAgMDJUnR0dE6c+aM9u/fb6358MMPVVlZqa5du9Z3OwAAAAAMqtqXvZWUlFhXcSQpNzdXBw8elJ+fn/z8/DR//nwNHjxYFotFOTk5mjZtmlq2bKnY2FhJUmRkpPr166exY8fqhRdeUHl5uRITEzVs2DCe9AYAAACg3lR75Wffvn3q0KGDOnToIEmaMmWKOnTooDlz5sjR0VGHDh3S7373O7Vq1UpjxoxRp06d9Mknn8jV1dU6x7p16xQREaFevXppwIAB6t69u/75z3/W3VkBAAAAwK+YqqqqquzdRHUVFxfLx8dHRUVF3P8DAGiQsiIi7d1CoxT5dZa9WwDQyFQnG9T7PT8AAAAA0BAQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYQrXDz8cff6y4uDgFBQXJZDJp69atNuNVVVWaM2eOAgMD5e7urt69e+ubb76xqTl9+rTi4+NlNpvl6+urMWPGqKSkpFYnAgAAAABXU+3wc+7cObVr104rV6687PiSJUu0YsUKvfDCC9q9e7c8PT0VGxur8+fPW2vi4+P11VdfKTU1VSkpKfr44481bty4mp8FAAAAAFyDqaqqqqrGXzaZtGXLFg0aNEjSL6s+QUFB+stf/qKpU6dKkoqKihQQEKDk5GQNGzZMWVlZatOmjfbu3avOnTtLkrZv364BAwbo+PHjCgoKuuZxi4uL5ePjo6KiIpnN5pq2DwBAvcmKiLR3C41S5NdZ9m4BQCNTnWxQp/f85ObmKj8/X71797Z+5uPjo65duyozM1OSlJmZKV9fX2vwkaTevXvLwcFBu3fvrst2AAAAAMDKqS4ny8/PlyQFBATYfB4QEGAdy8/Pl7+/v20TTk7y8/Oz1vxaaWmpSktLrfvFxcV12TYAAAAAA2gUT3tLSkqSj4+PdQsODrZ3SwAAAAAamToNPxaLRZJUUFBg83lBQYF1zGKxqLCw0Gb8woULOn36tLXm12bMmKGioiLr9v3339dl2wAAAAAMoE7DT1hYmCwWi9LS0qyfFRcXa/fu3YqOjpYkRUdH68yZM9q/f7+15sMPP1RlZaW6du162XldXV1lNpttNgAAAACojmrf81NSUqKjR49a93Nzc3Xw4EH5+fmpefPmmjRpkv72t78pPDxcYWFhmj17toKCgqxPhIuMjFS/fv00duxYvfDCCyovL1diYqKGDRt2XU96AwAAAICaqHb42bdvn+655x7r/pQpUyRJo0aNUnJysqZNm6Zz585p3LhxOnPmjLp3767t27fLzc3N+p1169YpMTFRvXr1koODgwYPHqwVK1bUwekAAAAAwOXV6j0/9sJ7fgAADR3v+akZ3vMDoLrs9p4fAAAAAGioCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADIHwAwAAAMAQCD8AAAAADMHJ3g0AwA01z8feHTRO84rs3QEAALXGyg8AAAAAQyD8AAAAADAEwg8AAAAAQ+CeH6ARC33ibXu30Ogcc7N3BwAAwF5Y+QEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZA+AEAAABgCIQfAAAAAIZQ5+Fn3rx5MplMNltERIR1/Pz580pISFDTpk3l5eWlwYMHq6CgoK7bAAAAAAAb9bLy89vf/lYnT560bjt27LCOTZ48Wdu2bdOmTZuUkZGhEydO6P7776+PNgAAAADAyqleJnVyksViueTzoqIirVmzRuvXr1fPnj0lSa+88ooiIyO1a9cudevWrT7aAQAAAID6Wfn55ptvFBQUpBYtWig+Pl55eXmSpP3796u8vFy9e/e21kZERKh58+bKzMy84nylpaUqLi622QAAAACgOuo8/HTt2lXJycnavn27Vq1apdzcXN111106e/as8vPz5eLiIl9fX5vvBAQEKD8//4pzJiUlycfHx7oFBwfXddsAAAAAbnJ1ftlb//79rT9HRUWpa9euCgkJ0euvvy53d/cazTljxgxNmTLFul9cXEwAAgAAAFAt9f6oa19fX7Vq1UpHjx6VxWJRWVmZzpw5Y1NTUFBw2XuELnJ1dZXZbLbZAAAAAKA66j38lJSUKCcnR4GBgerUqZOcnZ2VlpZmHc/OzlZeXp6io6PruxUAAAAABlbnl71NnTpVcXFxCgkJ0YkTJzR37lw5Ojpq+PDh8vHx0ZgxYzRlyhT5+fnJbDbrT3/6k6Kjo3nSGwAAAIB6Vefh5/jx4xo+fLh+/PFHNWvWTN27d9euXbvUrFkzSdKyZcvk4OCgwYMHq7S0VLGxsXr++efrug0AAAAAsFHn4WfDhg1XHXdzc9PKlSu1cuXKuj40AAAAAFxRvd/zAwAAAAANAeEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCE42bsBAEDD13ZtW3u30Oi8bu8GAACXYOUHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCEQfgAAAAAYAuEHAAAAgCHYNfysXLlSoaGhcnNzU9euXbVnzx57tgMAAADgJma38LNx40ZNmTJFc+fO1WeffaZ27dopNjZWhYWF9moJAAAAwE3MbuHn6aef1tixY/XQQw+pTZs2euGFF+Th4aGXX37ZXi0BAAAAuIk52eOgZWVl2r9/v2bMmGH9zMHBQb1791ZmZqY9WgIAAA3AyvEf2ruFRifhhZ72bgFoNOwSfn744QdVVFQoICDA5vOAgAB9/fXXl9SXlpaqtLTUul9UVCRJKi4urt9GgQausvQne7fQ6BSbquzdQqNU8XOFvVtodEoq+J3VxM9l5+zdQqPDv4dgdBf/G6iquvbf8XYJP9WVlJSk+fPnX/J5cHCwHboB0Jj52LuBRivL3g00OnfYu4HG6ujv7N1Bo/P4K/buAGgYzp49Kx+fq/9Nb5fwc8stt8jR0VEFBQU2nxcUFMhisVxSP2PGDE2ZMsW6X1lZqdOnT6tp06YymUz13i8AoGEqLi5WcHCwvv/+e5nNZnu3AwCwg6qqKp09e1ZBQUHXrLVL+HFxcVGnTp2UlpamQYMGSfol0KSlpSkxMfGSeldXV7m6utp85uvrewM6BQA0BmazmfADAAZ2rRWfi+x22duUKVM0atQode7cWXfccYeeeeYZnTt3Tg899JC9WgIAAABwE7Nb+Bk6dKhOnTqlOXPmKD8/X+3bt9f27dsveQgCAAAAANQFU9X1PBYBAIAGqLS0VElJSZoxY8Yll0cDAPBrhB8AAAAAhuBg7wYAAAAA4EYg/AAAAAAwBMIPAAAAAEMg/AAAGrSYmBhNmjTJ3m0AAG4ChB8AwE0jPT1dJpNJZ86csXcrAIAGiPADAAAAwBAIPwCARuNf//qXOnfuLG9vb1ksFv3xj39UYWGhJOnYsWO65557JElNmjSRyWTS6NGj7dgtAKChIfwAABqN8vJyLVy4UJ9//rm2bt2qY8eOWQNOcHCwNm/eLEnKzs7WyZMntXz5cjt2CwBoaJzs3QAAANfr4Ycftv7cokULrVixQl26dFFJSYm8vLzk5+cnSfL395evr6+dugQANFSs/AAAGo39+/crLi5OzZs3l7e3t3r06CFJysvLs3NnAIDGgPADAGgUzp07p9jYWJnNZq1bt0579+7Vli1bJEllZWV27g4A0Bhw2RsAoFH4+uuv9eOPP2rx4sUKDg6WJO3bt8+mxsXFRZJUUVFxw/sDADR8rPwAABqF5s2by8XFRc8++6y+/fZbvfXWW1q4cKFNTUhIiEwmk1JSUnTq1CmVlJTYqVsAQENE+AEANArNmjVTcnKyNm3apDZt2mjx4sVaunSpTc2tt96q+fPn64knnlBAQIASExPt1C0AoCEyVVVVVdm7CQAAAACob6z8AAAAADAEwg8AAAAAQyD8AAAAADAEwg8AAAAAQyD8AAAAADAEwg8AAAAAQyD8AAAAADAEwg8A4IY6duyYTCaTDh48aO9WrktMTIwmTZpk7zYAAHWA8AMAAADAEAg/AAAAAAyB8AMAqBeVlZVasmSJWrZsKVdXVzVv3lyLFi2yjn/77be655575OHhoXbt2ikzM9M69uOPP2r48OG69dZb5eHhobZt2+q1116zmT8mJkYTJ07UtGnT5OfnJ4vFonnz5tnUmEwmvfTSS7rvvvvk4eGh8PBwvfXWWzY1X375pfr37y8vLy8FBARoxIgR+uGHH+r+FwIAsDvCDwCgXsyYMUOLFy/W7NmzdfjwYa1fv14BAQHW8ZkzZ2rq1Kk6ePCgWrVqpeHDh+vChQuSpPPnz6tTp056++239eWXX2rcuHEaMWKE9uzZY3OMtWvXytPTU7t379aSJUu0YMECpaam2tTMnz9fQ4YM0aFDhzRgwADFx8fr9OnTkqQzZ86oZ8+e6tChg/bt26ft27eroKBAQ4YMqeffDgDAHkxVVVVV9m4CAHBzOXv2rJo1a6bnnntOjzzyiM3YsWPHFBYWppdeekljxoyRJB0+fFi//e1vlZWVpYiIiMvOee+99yoiIkJLly6V9MvKT0VFhT755BNrzR133KGePXtq8eLFkn5Z+Zk1a5YWLlwoSTp37py8vLz07rvvql+/fvrb3/6mTz75RO+99551juPHjys4OFjZ2dlq1aqVYmJi1L59ez3zzDN19vsBANiHk70bAADcfLKyslRaWqpevXpdsSYqKsr6c2BgoCSpsLBQERERqqio0JNPPqnXX39d//u//6uysjKVlpbKw8PjinNcnKewsPCKNZ6enjKbzdaazz//XB999JG8vLwu6S8nJ0etWrW6zjMGADQGhB8AQJ1zd3e/Zo2zs7P1Z5PJJOmX+4Qk6R//+IeWL1+uZ555Rm3btpWnp6cmTZqksrKyK85xcZ6Lc1xPTUlJieLi4vT3v//9kv4uBjIAwM2D8AMAqHPh4eFyd3dXWlraJZe9XY9PP/1Uv//97/Xggw9K+iUUHTlyRG3atKnTPjt27KjNmzcrNDRUTk78lQgANzseeAAAqHNubm6aPn26pk2bpldffVU5OTnatWuX1qxZc13fDw8PV2pqqnbu3KmsrCw9+uijKigoqPM+ExISdPr0aQ0fPlx79+5VTk6O3nv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\n"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<Figure 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\n"},"metadata":{}}]},{"cell_type":"code","source":["df1.to_csv(\"/content/drive/MyDrive/Colab/ethnicolor/data/news_authors_results.csv\", index=False)"],"metadata":{"id":"FEUTRRWw2MPy","executionInfo":{"status":"ok","timestamp":1688414868664,"user_tz":420,"elapsed":838,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":34,"outputs":[]},{"cell_type":"code","source":["ch_pr = df1.groupby(['channel', 'preds']).size().to_dict()\n","\n","news = {}\n","totals = {}\n","for x in ch_pr:\n","  channel = x[0]\n","  preds = x[1]\n","  if channel not in news:\n","    news[channel] = {}\n","    totals[channel] = 0\n","  news[channel][preds] = ch_pr[x]\n","  totals[channel] += ch_pr[x]"],"metadata":{"id":"cJ3TQpYA7oIa","executionInfo":{"status":"ok","timestamp":1688414869606,"user_tz":420,"elapsed":3,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}}},"execution_count":35,"outputs":[]},{"cell_type":"code","source":["for channel in news:\n","  print(channel)\n","  for race in news[channel]:\n","    print(f\"{race} - {round(news[channel][race]/totals[channel], 3)}%\")\n","  print()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"CTzdtLo-8ifu","executionInfo":{"status":"ok","timestamp":1688414870216,"user_tz":420,"elapsed":3,"user":{"displayName":"Rajashekar Chintalapati","userId":"03596288833202137831"}},"outputId":"024c9a9e-d328-4784-fff2-ffc01d8ae958"},"execution_count":36,"outputs":[{"output_type":"stream","name":"stdout","text":["abc\n","asian - 0.077%\n","hispanic - 0.077%\n","nh_black - 0.077%\n","nh_white - 0.769%\n","\n","cbs\n","asian - 0.054%\n","hispanic - 0.069%\n","nh_black - 0.063%\n","nh_white - 0.802%\n","other - 0.012%\n","\n","cnn\n","asian - 0.08%\n","hispanic - 0.076%\n","nh_black - 0.071%\n","nh_white - 0.769%\n","other - 0.004%\n","\n","lat\n","asian - 0.152%\n","hispanic - 0.159%\n","nh_black - 0.057%\n","nh_white - 0.63%\n","other - 0.002%\n","\n","nbc\n","asian - 0.097%\n","hispanic - 0.077%\n","nh_black - 0.061%\n","nh_white - 0.759%\n","other - 0.005%\n","\n","npr\n","asian - 0.093%\n","hispanic - 0.091%\n","nh_black - 0.056%\n","nh_white - 0.751%\n","other - 0.009%\n","\n","nyt\n","asian - 0.095%\n","hispanic - 0.054%\n","nh_black - 0.046%\n","nh_white - 0.801%\n","other - 0.004%\n","\n","politico\n","asian - 0.014%\n","hispanic - 0.043%\n","nh_black - 0.029%\n","nh_white - 0.914%\n","\n","propub\n","asian - 0.08%\n","hispanic - 0.072%\n","nh_black - 0.076%\n","nh_white - 0.764%\n","other - 0.008%\n","\n","usat\n","asian - 0.045%\n","hispanic - 0.071%\n","nh_black - 0.055%\n","nh_white - 0.823%\n","other - 0.005%\n","\n","wapo\n","asian - 0.105%\n","hispanic - 0.053%\n","nh_black - 0.05%\n","nh_white - 0.789%\n","other - 0.003%\n","\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"FUFXcpI--fdh"},"execution_count":null,"outputs":[]}]}