securityBERT.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xBWOKJGE5hjt","outputId":"ff0e39f4-c496-4692-b50e-b1349e353b15","executionInfo":{"status":"ok","timestamp":1709841371760,"user_tz":-60,"elapsed":20302,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/MyDrive\n"]}],"source":["from google.colab import drive\n","drive.mount(\"/content/MyDrive\")"]},{"cell_type":"markdown","source":["##Librairies"],"metadata":{"id":"qvYsBJgXGCow"}},{"cell_type":"code","execution_count":2,"metadata":{"id":"GxoyOBfr7FSg","executionInfo":{"status":"ok","timestamp":1709841382633,"user_tz":-60,"elapsed":10879,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import warnings\n","import hashlib\n","from tqdm.notebook import tqdm\n","import os\n","warnings.filterwarnings('ignore')\n","import psutil\n","import seaborn as sns\n","from sklearn.preprocessing import LabelEncoder\n","from transformers import RobertaTokenizer,AutoTokenizer,AutoConfig,AutoModel\n","import torch\n","import torch.nn as nn\n","from torch.utils.data import Dataset,DataLoader\n","import torch.nn.functional as F\n","from transformers import get_linear_schedule_with_warmup\n","from collections import defaultdict\n","from sklearn.model_selection import train_test_split\n"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"lUqHyjV8LFLv","executionInfo":{"status":"ok","timestamp":1709841382634,"user_tz":-60,"elapsed":6,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def memory_check():\n","  return round(psutil.virtual_memory().used/1024**3,3)"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"KJl-ugyhYcFr","executionInfo":{"status":"ok","timestamp":1709841382633,"user_tz":-60,"elapsed":7,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["os.chdir('/content/MyDrive/MyDrive/Colab Notebooks/securityBERT')"]},{"cell_type":"markdown","metadata":{"id":"dHEIppcXAnQO"},"source":["##PPFLE Algorithm"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"f1aNJt-3735h"},"outputs":[],"source":["def H(x):\n","  hasher = hashlib.sha1() #returns a hashed value of 256 bits\n","  hasher.update(x.encode('utf-8'))\n","  hashed = hasher.hexdigest()\n","\n","  return hashed\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dPuOYsOZ9A0e"},"outputs":[],"source":["def s(i,j):\n","  return str(i)+\"$\"+str(j) #To concatenate the column name with the cell value"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"tX_h4mtV9qvv"},"outputs":[],"source":["def PPFLE(M):\n","  columns = list(data.columns[:-2])\n","  # print(columns)\n","  # return 0\n","  DL = []\n","  for i,v in tqdm(M.iterrows(),desc=\"Processing...\",total=len(M)):\n","    L = []\n","    for j in columns:\n","      L.append(H(s(j,v.get(j))))\n","    DL.append(\" \".join(L))\n","  return DL\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NBfnQhzuLGCy"},"outputs":[],"source":["# features_to_remove = ['frame.time','ip.src_host', 'ip.dst_host','arp.dst.proto_ipv4','tcp.payload']\n","# print(data.shape)\n","# data = data.drop(columns=features_to_remove,axis=0)\n","# data.shape"]},{"cell_type":"code","source":["data = pd.read_csv('./ML-EdgeIIoT-dataset.csv')\n","data.head(5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":255},"id":"YhMoVQNV5qY_","executionInfo":{"status":"ok","timestamp":1709641514442,"user_tz":-60,"elapsed":2117,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"14c4d0c5-42e5-4bcd-8b5c-166d3a4dfdb8"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["  frame.time    ip.src_host ip.dst_host arp.dst.proto_ipv4  arp.opcode  \\\n","0        6.0  192.168.0.152         0.0                0.0         0.0   \n","1        6.0  192.168.0.101         0.0                0.0         0.0   \n","2        6.0  192.168.0.152         0.0                0.0         0.0   \n","3        6.0  192.168.0.101         0.0                0.0         0.0   \n","4        6.0  192.168.0.152         0.0                0.0         0.0   \n","\n","   arp.hw.size arp.src.proto_ipv4  icmp.checksum  icmp.seq_le  \\\n","0          0.0                0.0            0.0          0.0   \n","1          0.0                0.0            0.0          0.0   \n","2          0.0                0.0            0.0          0.0   \n","3          0.0                0.0            0.0          0.0   \n","4          0.0                0.0            0.0          0.0   \n","\n","   icmp.transmit_timestamp  ...  mqtt.proto_len mqtt.protoname  mqtt.topic  \\\n","0                      0.0  ...             0.0            0.0         0.0   \n","1                      0.0  ...             0.0            0.0         0.0   \n","2                      0.0  ...             0.0            0.0         0.0   \n","3                      0.0  ...             0.0            0.0         0.0   \n","4                      0.0  ...             0.0            0.0         0.0   \n","\n","  mqtt.topic_len mqtt.ver mbtcp.len mbtcp.trans_id mbtcp.unit_id  \\\n","0            0.0      0.0       0.0            0.0           0.0   \n","1            0.0      0.0       0.0            0.0           0.0   \n","2            0.0      0.0       0.0            0.0           0.0   \n","3            0.0      0.0       0.0            0.0           0.0   \n","4            0.0      0.0       0.0            0.0           0.0   \n","\n","   Attack_label  Attack_type  \n","0             1         MITM  \n","1             1         MITM  \n","2             1         MITM  \n","3             1         MITM  \n","4             1         MITM  \n","\n","[5 rows x 63 columns]"],"text/html":["\n","  <div id=\"df-3c20a276-7de5-4d70-8b8d-e28213676905\" 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>frame.time</th>\n","      <th>ip.src_host</th>\n","      <th>ip.dst_host</th>\n","      <th>arp.dst.proto_ipv4</th>\n","      <th>arp.opcode</th>\n","      <th>arp.hw.size</th>\n","      <th>arp.src.proto_ipv4</th>\n","      <th>icmp.checksum</th>\n","      <th>icmp.seq_le</th>\n","      <th>icmp.transmit_timestamp</th>\n","      <th>...</th>\n","      <th>mqtt.proto_len</th>\n","      <th>mqtt.protoname</th>\n","      <th>mqtt.topic</th>\n","      <th>mqtt.topic_len</th>\n","      <th>mqtt.ver</th>\n","      <th>mbtcp.len</th>\n","      <th>mbtcp.trans_id</th>\n","      <th>mbtcp.unit_id</th>\n","      <th>Attack_label</th>\n","      <th>Attack_type</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>6.0</td>\n","      <td>192.168.0.152</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>MITM</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>6.0</td>\n","      <td>192.168.0.101</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>MITM</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>6.0</td>\n","      <td>192.168.0.152</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>MITM</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>6.0</td>\n","      <td>192.168.0.101</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>MITM</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>6.0</td>\n","      <td>192.168.0.152</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>MITM</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 63 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3c20a276-7de5-4d70-8b8d-e28213676905')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-3c20a276-7de5-4d70-8b8d-e28213676905 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-3c20a276-7de5-4d70-8b8d-e28213676905');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-f580b640-eb7b-43e3-8744-c661b22e3150\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f580b640-eb7b-43e3-8744-c661b22e3150')\"\n","            title=\"Suggest charts\"\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","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-f580b640-eb7b-43e3-8744-c661b22e3150 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"data"}},"metadata":{},"execution_count":19}]},{"cell_type":"code","source":["data['Attack_type'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gIGFeckv57Ip","executionInfo":{"status":"ok","timestamp":1709641172258,"user_tz":-60,"elapsed":801,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"59325990-feb9-4d7d-f1e0-8e5042f9f361"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Normal                   24301\n","DDoS_UDP                 14498\n","DDoS_ICMP                14090\n","Ransomware               10925\n","DDoS_HTTP                10561\n","SQL_injection            10311\n","Uploading                10269\n","DDoS_TCP                 10247\n","Backdoor                 10195\n","Vulnerability_scanner    10076\n","Port_Scanning            10071\n","XSS                      10052\n","Password                  9989\n","MITM                      1214\n","Fingerprinting            1001\n","Name: Attack_type, dtype: int64"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["colonnes_objet = data.select_dtypes(include=['object']).columns\n","colonnes_objet = list(colonnes_objet[:-2])"],"metadata":{"id":"08Z0Rz6m6E4r"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["for column in tqdm(colonnes_objet):\n","  data[column] = data[column].astype(str)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49,"referenced_widgets":["8a20d5de31134cb1b24a87830d313200","3e1c9d6ed4704a318b9ede6eca66222c","1020e144088442c3a776916675b489ed","e287b6a6f5eb48668e25640020cf0d49","68e5bd24d1f3412ab61cee81de50325e","fe7281dad99e46f68ae204a130d7f033","0b8d6d95505b4d0883a8e6dc5c9317f8","c9f48ff91521408ead323f1db78f9ac6","30dd5c8f0e7b402b83b75562797edf7b","86d3c138101a42c49ad32d9a2dd5d2be","400b548664a64133a450e73ce18e7ef9"]},"id":"wF5kdZNh6jrD","executionInfo":{"status":"ok","timestamp":1709641520374,"user_tz":-60,"elapsed":513,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"2daf7ef5-7201-4ff6-b68a-8cb5c7eaeb06"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/18 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"8a20d5de31134cb1b24a87830d313200"}},"metadata":{}}]},{"cell_type":"code","source":["data.sample(5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":325},"id":"_p4xIjVRkEB4","executionInfo":{"status":"ok","timestamp":1709641338815,"user_tz":-60,"elapsed":12,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"f92e68f6-6875-4d35-ccf4-59e111bb86e7"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                       frame.time    ip.src_host    ip.dst_host  \\\n","114298   2021 19:47:09.366345000               0              0   \n","22135    2021 23:15:12.854352000   192.168.0.170  192.168.0.128   \n","14672    2021 23:10:32.051793000   192.168.0.170  192.168.0.128   \n","140367               27.236.68.22  192.168.0.128              0   \n","106184   2021 13:14:25.193340000   192.168.0.101  192.168.0.128   \n","\n","       arp.dst.proto_ipv4  arp.opcode  arp.hw.size arp.src.proto_ipv4  \\\n","114298                  0         0.0          0.0                  0   \n","22135                   0         0.0          0.0                  0   \n","14672                   0         0.0          0.0                  0   \n","140367                  0         0.0          0.0                0.0   \n","106184                  0         0.0          0.0                  0   \n","\n","        icmp.checksum  icmp.seq_le  icmp.transmit_timestamp  ...  \\\n","114298            0.0          0.0                      0.0  ...   \n","22135             0.0          0.0                      0.0  ...   \n","14672             0.0          0.0                      0.0  ...   \n","140367            0.0          0.0                      0.0  ...   \n","106184            0.0          0.0                      0.0  ...   \n","\n","        mqtt.proto_len mqtt.protoname                mqtt.topic  \\\n","114298             0.0              0                         0   \n","22135              0.0            0.0                       0.0   \n","14672              0.0            0.0                       0.0   \n","140367             0.0            0.0                       0.0   \n","106184             0.0              0  Temperature_and_Humidity   \n","\n","       mqtt.topic_len mqtt.ver mbtcp.len mbtcp.trans_id mbtcp.unit_id  \\\n","114298            0.0      0.0       0.0            0.0           0.0   \n","22135             0.0      0.0       0.0            0.0           0.0   \n","14672             0.0      0.0       0.0            0.0           0.0   \n","140367            0.0      0.0       0.0            0.0           0.0   \n","106184           24.0      0.0       0.0            0.0           0.0   \n","\n","        Attack_label  Attack_type  \n","114298             0       Normal  \n","22135              1    Uploading  \n","14672              1    Uploading  \n","140367             1     DDoS_UDP  \n","106184             0       Normal  \n","\n","[5 rows x 63 columns]"],"text/html":["\n","  <div id=\"df-9bec91bf-1bf3-46aa-b933-bf8b61e861aa\" 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>frame.time</th>\n","      <th>ip.src_host</th>\n","      <th>ip.dst_host</th>\n","      <th>arp.dst.proto_ipv4</th>\n","      <th>arp.opcode</th>\n","      <th>arp.hw.size</th>\n","      <th>arp.src.proto_ipv4</th>\n","      <th>icmp.checksum</th>\n","      <th>icmp.seq_le</th>\n","      <th>icmp.transmit_timestamp</th>\n","      <th>...</th>\n","      <th>mqtt.proto_len</th>\n","      <th>mqtt.protoname</th>\n","      <th>mqtt.topic</th>\n","      <th>mqtt.topic_len</th>\n","      <th>mqtt.ver</th>\n","      <th>mbtcp.len</th>\n","      <th>mbtcp.trans_id</th>\n","      <th>mbtcp.unit_id</th>\n","      <th>Attack_label</th>\n","      <th>Attack_type</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>114298</th>\n","      <td>2021 19:47:09.366345000</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>Normal</td>\n","    </tr>\n","    <tr>\n","      <th>22135</th>\n","      <td>2021 23:15:12.854352000</td>\n","      <td>192.168.0.170</td>\n","      <td>192.168.0.128</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>Uploading</td>\n","    </tr>\n","    <tr>\n","      <th>14672</th>\n","      <td>2021 23:10:32.051793000</td>\n","      <td>192.168.0.170</td>\n","      <td>192.168.0.128</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>Uploading</td>\n","    </tr>\n","    <tr>\n","      <th>140367</th>\n","      <td>27.236.68.22</td>\n","      <td>192.168.0.128</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1</td>\n","      <td>DDoS_UDP</td>\n","    </tr>\n","    <tr>\n","      <th>106184</th>\n","      <td>2021 13:14:25.193340000</td>\n","      <td>192.168.0.101</td>\n","      <td>192.168.0.128</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>Temperature_and_Humidity</td>\n","      <td>24.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0</td>\n","      <td>Normal</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 63 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9bec91bf-1bf3-46aa-b933-bf8b61e861aa')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-9bec91bf-1bf3-46aa-b933-bf8b61e861aa button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-9bec91bf-1bf3-46aa-b933-bf8b61e861aa');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-0fc79afb-368e-4d2b-86eb-58ee697aa982\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0fc79afb-368e-4d2b-86eb-58ee697aa982')\"\n","            title=\"Suggest charts\"\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","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-0fc79afb-368e-4d2b-86eb-58ee697aa982 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe"}},"metadata":{},"execution_count":15}]},{"cell_type":"code","source":["temp = PPFLE(data)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49,"referenced_widgets":["f2d30bb60b85408eb604e733d0b5bcdd","d447fcb72c9e465f93941d7accb728c6","c9907a1f6220435a993e700424db9d08","7ed64059835c48ffa503145344530bf9","e1dcd6d6acdc417ba7b5e8e03deea5f8","b1d4cd76da7444479e818c598ea873fb","42bb8dcbcca44fa5be8eb39549bfd2fd","ae957be12e16484fbce6ac90a61b5aa2","8aedad3dcfd34b3bad0bfb156b76bbc0","6b982e3ffd7546d7a07a4fe71e722ff6","3ebeb2efcf61473e927c44d70c9d101a"]},"id":"e24oqRSnksIV","executionInfo":{"status":"ok","timestamp":1709641599543,"user_tz":-60,"elapsed":57572,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"38d3b6f0-39ee-45f2-de95-a50b0b3b30b6"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["Processing...:   0%|          | 0/157800 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f2d30bb60b85408eb604e733d0b5bcdd"}},"metadata":{}}]},{"cell_type":"code","source":["data['encoded_PPFLE'] = temp\n","del temp"],"metadata":{"id":"1mPZlTo3lJaJ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["data = data[['encoded_PPFLE','Attack_type','Attack_label']]"],"metadata":{"id":"luI-TI63lR0F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["data.to_pickle('./saved_data/encoded_data.pck')"],"metadata":{"id":"Z_FLCPvVloEL"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"SrZ1CL6vVua8"},"source":["##Load saved data"]},{"cell_type":"code","execution_count":5,"metadata":{"id":"Lmk6oqM0ssfs","executionInfo":{"status":"ok","timestamp":1709841388312,"user_tz":-60,"elapsed":5683,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["data = pd.read_pickle('./saved_data/encoded_data.pck')"]},{"cell_type":"code","source":["le = LabelEncoder()\n","data['target'] = le.fit_transform(data['Attack_type'])"],"metadata":{"id":"zTWEW9OCFkzb","executionInfo":{"status":"ok","timestamp":1709841388314,"user_tz":-60,"elapsed":16,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["data.sample(3)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":143},"id":"nrAeDPtKm306","executionInfo":{"status":"ok","timestamp":1709841388314,"user_tz":-60,"elapsed":15,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"06231341-e367-41af-8baa-eaec47745b5b"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                           encoded_PPFLE  \\\n","53618  f332c2436be338e8f4ff7d5fa083138340c03dc2 0bc16...   \n","79840  3892218885173b96b86ab6f2ee2f85dc2fd8b7ac 0bc16...   \n","79961  de86ef273826334e4cd2757cb29ed2a8542d238f 6df8d...   \n","\n","                 Attack_type  Attack_label  target  \n","53618               DDoS_TCP             1       3  \n","79840  Vulnerability_scanner             1      13  \n","79961  Vulnerability_scanner             1      13  "],"text/html":["\n","  <div id=\"df-3547fa69-215f-407d-9270-5c4a7caf444d\" 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>encoded_PPFLE</th>\n","      <th>Attack_type</th>\n","      <th>Attack_label</th>\n","      <th>target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>53618</th>\n","      <td>f332c2436be338e8f4ff7d5fa083138340c03dc2 0bc16...</td>\n","      <td>DDoS_TCP</td>\n","      <td>1</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>79840</th>\n","      <td>3892218885173b96b86ab6f2ee2f85dc2fd8b7ac 0bc16...</td>\n","      <td>Vulnerability_scanner</td>\n","      <td>1</td>\n","      <td>13</td>\n","    </tr>\n","    <tr>\n","      <th>79961</th>\n","      <td>de86ef273826334e4cd2757cb29ed2a8542d238f 6df8d...</td>\n","      <td>Vulnerability_scanner</td>\n","      <td>1</td>\n","      <td>13</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3547fa69-215f-407d-9270-5c4a7caf444d')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-3547fa69-215f-407d-9270-5c4a7caf444d button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-3547fa69-215f-407d-9270-5c4a7caf444d');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-5122a1f4-04a9-493d-b3bd-2dbaaa81704e\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5122a1f4-04a9-493d-b3bd-2dbaaa81704e')\"\n","            title=\"Suggest charts\"\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","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-5122a1f4-04a9-493d-b3bd-2dbaaa81704e button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","summary":"{\n  \"name\": \"data\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"encoded_PPFLE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"f332c2436be338e8f4ff7d5fa083138340c03dc2 0bc168ee93821542b8ecc1c87f5df91c417d3b73 55ac76a1d17cc76b23da5ddc07fec73929c20033 afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b ceae604760aaa4fd8b60791ae1839b754c2dd9f1 23197a0ba8a217f2bc8711ec3c4be39dc19236d7 e2df55df19acd4423bafccbb0b8a385ec5e914eb f086df09fafdda401160bc766631e3d5785a6257 5329d5d159837e103352035068b3e14ce570d7eb 3eb6e4b9dd1c085a3ad0b18484d48482c935a4f7 99d786f0f3c118969047560d0a15c946845b83e5 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa 816ea4ae280d515654bacb1d6b76d0d77d81a688 759ded46f3a5f7fc8c05f20a1d212c7ef33fa7d1 a4e73c1c6e22afd4b3b03cd2dc4fcd50d829af0d 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 160378a98b7497218b91cd6266b674c689e286b4 cf09211f8fce92ebb8209ea5703c84c95adababf 527ff8dab3e2a9038784c4498898f385d37c8bbf 77c4c995a6121948abf1197d8b00bbfff69cfdf6 4e7fa1f42f33c9e34a96f0fe044ad0acfa0edd04 01896bd3329cb62ea6cce633bd9594a521c7eb00 e3773f9e7df4f1e1ac4a50cc8c7ad74dcfa5caea afb3c4e997ed979faa4be5b9acdfa907baf289bc 41006fccb6cf45957b0059205c52bc9e8eb2eac9 f5d1a0039a9ac41bff744af837f6e287b11ddbb1 c53bc452792ff0b44ef4342b1dfdcc5256e54544 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\",\n          \"3892218885173b96b86ab6f2ee2f85dc2fd8b7ac 0bc168ee93821542b8ecc1c87f5df91c417d3b73 83f24b2880d3a08533aab320c6e15f6fd46213bd afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b fad790cf5855b1b8628d92bef40199aab6d58870 1f0d8a02efb3d114158d02eee406bdddc8032c1a d95c4ea40294ab7cd7a19e25b05dc704081fa632 3fac672b481a82151142ba447742313e39ebd868 942c9f4e06180cc8c9ab840129d2b598980042ae acc804cb5c6ba13a0ed3626c8a9506084adc7d87 943315f7b6cb0fc45604f5cf2ac307894e59b990 98ac05af11c46f7f1a28255dabf1afc2aedc8f71 f91e2919e7494d796d1148066124d4b4939c86fa 3d3dba9c1533d3a06221d2f29e480ee36e259d51 3b3b42f67b8821c427aebb35d1fe88a099bee2cb e633a16e22afc49661da3f70667083f59f75ded6 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 128f4c3fdc8539ea887fc54fe41fb2654e61d21e cf09211f8fce92ebb8209ea5703c84c95adababf 527ff8dab3e2a9038784c4498898f385d37c8bbf 21c54acc5d36152bd1f330c8d48584fa3ff3c5fc c50715a9fcb37adf35c1535f715b14c71a52dad2 01896bd3329cb62ea6cce633bd9594a521c7eb00 2e69207e4bcc501eddf9cce9a00c33409a17f182 70ba236e9f9d84eac7fc540cb3c327c83c30e863 c9301261ddbcd97e919c635c6c269728112c76af 30352deefa596a279e990416e95e300608c0c711 c53bc452792ff0b44ef4342b1dfdcc5256e54544 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\",\n          \"de86ef273826334e4cd2757cb29ed2a8542d238f 6df8d9dc3610fb7a67c989a46fa0cf8bb0fc6605 478636294258fc0c9adb19fa5acc6f3384933d3e afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b c3e6b23dffce41686dca7c153cdd80c1ac7a1d20 09a01c0c81f5900f5437a170ef5c21022d91eaeb 818976c5f3b57f739d6b1e65833af44300944659 36b25a109554782fa13935ad20c1625cb7ac1dce 942c9f4e06180cc8c9ab840129d2b598980042ae 86e5a17afab2b8b1da24e51fa2a971ce76340b04 9943a5922bdb680ab8adff28cc0c6bf039dae3bf 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa 3d4418db9db3ec9015b08b18001735ab588ec713 b0ddaf3226e573f57f2ff4fcf03afbd78e1daa64 92454aa3e0a3244d0d9bfd3011747a1a001da326 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 128f4c3fdc8539ea887fc54fe41fb2654e61d21e cf09211f8fce92ebb8209ea5703c84c95adababf 527ff8dab3e2a9038784c4498898f385d37c8bbf 4689f60964d288f33c584267924f7ab97f7eda18 c50715a9fcb37adf35c1535f715b14c71a52dad2 01896bd3329cb62ea6cce633bd9594a521c7eb00 7b39bdfea0a6691496ef7f8447adb39e0310bed5 7dfd347de92debc5c147b71261fd5a62126bf7d3 869e37ff8100d5f78da10552095db8dcea9b4632 22186dede6f8d905a5dd313c51d07b4abb20ba21 51074af9bb32413e090dcca95ffa1e83262af9e4 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attack_type\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Vulnerability_scanner\",\n          \"DDoS_TCP\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attack_label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 3,\n        \"max\": 13,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          13\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["data['encoded_PPFLE'][0]"],"metadata":{"id":"FM_QMlRhpH8k","colab":{"base_uri":"https://localhost:8080/","height":123},"executionInfo":{"status":"ok","timestamp":1709841182663,"user_tz":-60,"elapsed":41,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"7bd9f411-68eb-48fe-fc4d-430988da78a1"},"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'689e1d00f39f485bd2da5098239199df85c39b4d 2ab932d3aadb7887eda7302e0b33df13dc5ca645 f2c86566785eaad29f5c4b244d058b0cb7deb97e 5ea155b76662c1b381a0526e87d733a2ae68bfce b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 c71f6d1e2daf2f598381088226df35ae68552f0b b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b ceae604760aaa4fd8b60791ae1839b754c2dd9f1 23197a0ba8a217f2bc8711ec3c4be39dc19236d7 e2df55df19acd4423bafccbb0b8a385ec5e914eb f086df09fafdda401160bc766631e3d5785a6257 5329d5d159837e103352035068b3e14ce570d7eb 3eb6e4b9dd1c085a3ad0b18484d48482c935a4f7 943315f7b6cb0fc45604f5cf2ac307894e59b990 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa a5ce077c8900f85e073032ae975d95491645ddce effcfb2aa80217f507218ea88726c9325a0d68b9 bf12d74b6502b4fc1e29df164d3bf6f6ce51ffe3 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 128f4c3fdc8539ea887fc54fe41fb2654e61d21e cf09211f8fce92ebb8209ea5703c84c95adababf 527ff8dab3e2a9038784c4498898f385d37c8bbf 25228e41a07fb6337440bcd65bf610730baee1ad 2bb8fbd462d958539a98c45da70be02731b9c83d e08c348b0a504bcd8779123ba7fca91b068ab03c e3773f9e7df4f1e1ac4a50cc8c7ad74dcfa5caea afb3c4e997ed979faa4be5b9acdfa907baf289bc 8c013b2163fe03dbadcbebe166b14f5eaa7b696b 609efeabea8e6b3209a269279f8981c91e174f55 9d8f0cbe88bc5a9c776d85c62f93520e64171b87 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":8}]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gbx3rF_-xRVF","outputId":"756d9f4f-e438-454d-c2c4-20f930f05894","executionInfo":{"status":"ok","timestamp":1709841388315,"user_tz":-60,"elapsed":13,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]"]},"metadata":{},"execution_count":8}],"source":["sorted(data['target'].unique())"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"95kjLOpM2mPe"},"outputs":[],"source":["# data.to_pickle('./encoded_data.pickle')"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ckGvLXdzLUzx","outputId":"9fe18c75-b6b2-4628-c10f-dea45c29c437","executionInfo":{"status":"ok","timestamp":1709674853742,"user_tz":-60,"elapsed":200,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["1.913"]},"metadata":{},"execution_count":9}],"source":["memory_check()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49,"referenced_widgets":["696c9c5f52ba43cc84603075cf4ce84c","8740e542c238400da65d6035520b0a29","32f02aa3b18b4d918faa9b1ceaf89117","add81f2d8af2417da44ad5b8dce93144","72186737c75a4e3da15b00e0687963f5","4ed856be1f71437ba69bf13bd6f303e3","c7eaeffd5717441e8c2fa471b921862d","c25db8854b9341b2917b7064030fd2a4","ee52a6cfd101463ab4d7eb77f1c2bfd3","1b9a8d1d50eb4001999a48048f636c9a","91898ddf1de2441d8c8063cce8ec5790"]},"id":"vANg2T_bQWEM","outputId":"b812df7b-488d-46aa-95d5-c9be5a6a2bf9","executionInfo":{"status":"ok","timestamp":1709643146343,"user_tz":-60,"elapsed":2361,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/157800 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"696c9c5f52ba43cc84603075cf4ce84c"}},"metadata":{}}],"source":["with open(\"encoded_data.txt\",\"w\") as f:\n","  for value in tqdm(data['encoded_PPFLE']):\n","    f.write(str(value)+'\\n')\n"]},{"cell_type":"markdown","source":["##Data splitting"],"metadata":{"id":"iiSvEz3lGkX9"}},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kyzwUriRKgt1","outputId":"48865c75-1dc9-4435-c7da-162ec3defd37","executionInfo":{"status":"ok","timestamp":1709674857639,"user_tz":-60,"elapsed":215,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["(110460, 4) (23670, 4) (23670, 4)\n"]}],"source":["train_set = data.sample(frac=0.7,random_state=42).reset_index(drop=True)\n","\n","remaining = data.drop(train_set.index).reset_index(drop=True)\n","\n","test_set = remaining.sample(frac=0.5,random_state=42).reset_index(drop=True)\n","\n","val_set = remaining.drop(test_set.index).reset_index(drop=True)\n","\n","print(train_set.shape,val_set.shape,test_set.shape)"]},{"cell_type":"code","source":["train_ratio = 0.7\n","val_ratio = 0.15\n","test_ratio = 0.15"],"metadata":{"id":"2wOoLpD7U7gO","executionInfo":{"status":"ok","timestamp":1709841388315,"user_tz":-60,"elapsed":9,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["train_set, test_set = train_test_split(data, test_size=test_ratio,stratify=data.iloc[:,-1], random_state=42)\n","train_set, val_set = train_test_split(train_set, test_size=val_ratio/(val_ratio+train_ratio),stratify=train_set.iloc[:,-1], random_state=42)\n"],"metadata":{"id":"GlISBf4cURRr","executionInfo":{"status":"ok","timestamp":1709841388548,"user_tz":-60,"elapsed":242,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["train_set.shape,val_set.shape,test_set.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9K2LGl9lXMbr","executionInfo":{"status":"ok","timestamp":1709841388548,"user_tz":-60,"elapsed":6,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"fa1ded49-a716-4548-d3a0-f107dc072a11"},"execution_count":11,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((110460, 4), (23670, 4), (23670, 4))"]},"metadata":{},"execution_count":11}]},{"cell_type":"code","source":["sns.countplot(train_set,x='Attack_type');\n","plt.xticks(rotation=90)\n","plt.show();"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":585},"id":"Ht21sv25Xb2-","executionInfo":{"status":"ok","timestamp":1709841389877,"user_tz":-60,"elapsed":358,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"9cf61a8a-306c-4859-92e4-36a05a8e2191"},"execution_count":12,"outputs":[{"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":["sns.countplot(val_set,x='Attack_type');\n","plt.xticks(rotation=90)\n","plt.show();"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":585},"id":"1Wkkm4AIce6I","executionInfo":{"status":"ok","timestamp":1709841074276,"user_tz":-60,"elapsed":682,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"38daad2a-d4a1-4634-dc27-5c3da9942f80"},"execution_count":57,"outputs":[{"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":["sns.countplot(test_set,x='Attack_type');\n","plt.xticks(rotation=90)\n","plt.show();"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":585},"id":"xHyssa5seIh1","executionInfo":{"status":"ok","timestamp":1709841098073,"user_tz":-60,"elapsed":986,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"875bca64-5062-44a9-d54e-f7cc102ac9a2"},"execution_count":59,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","execution_count":13,"metadata":{"id":"GyuGagBfr_MV","executionInfo":{"status":"ok","timestamp":1709841395406,"user_tz":-60,"elapsed":186,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["TARGET_LIST = ['Backdoor', 'DDoS_HTTP', 'DDoS_ICMP', 'DDoS_TCP', 'DDoS_UDP',\n","                'Fingerprinting', 'MITM', 'Normal', 'Password', 'Port_Scanning',\n","                'Ransomware', 'SQL_injection', 'Uploading', 'Vulnerability_scanner',\n","                'XSS']"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"ekdEMMSbokC6","outputId":"e6730da7-28bb-4da9-e2f7-bbc94a3e84b9","executionInfo":{"status":"ok","timestamp":1709643171942,"user_tz":-60,"elapsed":406,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                           encoded_PPFLE Attack_type  \\\n","13140  05293357ba325a590027981a9b59eb748a968bb8 0bc16...   Uploading   \n","13141  da0992898db14d190c3b6f7c2c6c658259a2b3a4 0bc16...   Uploading   \n","13142  4d5b89f0a6797f41a5d0ee5b7b1cfe1327a291f4 0bc16...   Uploading   \n","13143  732fcefab7fb269fd8ae7bd4d3b3e28ec3310e1f 6df8d...   Uploading   \n","13144  9a7d459b7d8a0e5c070cb85c3b1bd0824a7b010f 0bc16...   Uploading   \n","\n","       Attack_label  target  \n","13140             1      12  \n","13141             1      12  \n","13142             1      12  \n","13143             1      12  \n","13144             1      12  "],"text/html":["\n","  <div id=\"df-4b3530dc-9482-4764-b455-466fbda7e266\" 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>encoded_PPFLE</th>\n","      <th>Attack_type</th>\n","      <th>Attack_label</th>\n","      <th>target</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>13140</th>\n","      <td>05293357ba325a590027981a9b59eb748a968bb8 0bc16...</td>\n","      <td>Uploading</td>\n","      <td>1</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>13141</th>\n","      <td>da0992898db14d190c3b6f7c2c6c658259a2b3a4 0bc16...</td>\n","      <td>Uploading</td>\n","      <td>1</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>13142</th>\n","      <td>4d5b89f0a6797f41a5d0ee5b7b1cfe1327a291f4 0bc16...</td>\n","      <td>Uploading</td>\n","      <td>1</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>13143</th>\n","      <td>732fcefab7fb269fd8ae7bd4d3b3e28ec3310e1f 6df8d...</td>\n","      <td>Uploading</td>\n","      <td>1</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>13144</th>\n","      <td>9a7d459b7d8a0e5c070cb85c3b1bd0824a7b010f 0bc16...</td>\n","      <td>Uploading</td>\n","      <td>1</td>\n","      <td>12</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4b3530dc-9482-4764-b455-466fbda7e266')\"\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 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-4b3530dc-9482-4764-b455-466fbda7e266 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-4b3530dc-9482-4764-b455-466fbda7e266');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-4c1565ec-e9b8-4bea-8cf4-517ddf9aba9a\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4c1565ec-e9b8-4bea-8cf4-517ddf9aba9a')\"\n","            title=\"Suggest charts\"\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","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-4c1565ec-e9b8-4bea-8cf4-517ddf9aba9a button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","summary":"{\n  \"name\": \"data[data['Attack_type']=='Uploading']\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"encoded_PPFLE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"da0992898db14d190c3b6f7c2c6c658259a2b3a4 0bc168ee93821542b8ecc1c87f5df91c417d3b73 83f24b2880d3a08533aab320c6e15f6fd46213bd afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b ceae604760aaa4fd8b60791ae1839b754c2dd9f1 23197a0ba8a217f2bc8711ec3c4be39dc19236d7 e2df55df19acd4423bafccbb0b8a385ec5e914eb 3fac672b481a82151142ba447742313e39ebd868 5329d5d159837e103352035068b3e14ce570d7eb acc804cb5c6ba13a0ed3626c8a9506084adc7d87 943315f7b6cb0fc45604f5cf2ac307894e59b990 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa 26a07f486e12eaf0b4dc70594733a3f5e1f5d29d ba7ad700d272ae89e16d18fbec468d3685600049 871666ebdde53c10fec7f018ae00f9ebdb84daa9 dee1859f4de11b2837a5dd3952fcfb1ec420c9bb 128f4c3fdc8539ea887fc54fe41fb2654e61d21e cf09211f8fce92ebb8209ea5703c84c95adababf 527ff8dab3e2a9038784c4498898f385d37c8bbf 630626beed529b6981afd93c61b77ff4d085e332 73301c554390652b814959caa9561f55196eedbf 01896bd3329cb62ea6cce633bd9594a521c7eb00 e3773f9e7df4f1e1ac4a50cc8c7ad74dcfa5caea ce4d9d5fb2c4a4d0d56b5ea4f2ba67e9878a74db 41006fccb6cf45957b0059205c52bc9e8eb2eac9 83a7e0881a9e1ea9de1b1180fb0c9b7fdcdfef14 c53bc452792ff0b44ef4342b1dfdcc5256e54544 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\",\n          \"9a7d459b7d8a0e5c070cb85c3b1bd0824a7b010f 0bc168ee93821542b8ecc1c87f5df91c417d3b73 83f24b2880d3a08533aab320c6e15f6fd46213bd afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b ceae604760aaa4fd8b60791ae1839b754c2dd9f1 23197a0ba8a217f2bc8711ec3c4be39dc19236d7 e2df55df19acd4423bafccbb0b8a385ec5e914eb 3fac672b481a82151142ba447742313e39ebd868 5329d5d159837e103352035068b3e14ce570d7eb acc804cb5c6ba13a0ed3626c8a9506084adc7d87 943315f7b6cb0fc45604f5cf2ac307894e59b990 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa a5ce077c8900f85e073032ae975d95491645ddce effcfb2aa80217f507218ea88726c9325a0d68b9 bebfaabc469caff963a39b75dd034af2177096ee 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 128f4c3fdc8539ea887fc54fe41fb2654e61d21e 08b8e5c2011a8c7f8fa871de2cef5df110f68e3a 527ff8dab3e2a9038784c4498898f385d37c8bbf 18fbef63777c8aafd60c5c0692b0de01e8c15ef2 24805aeb4061c1a11940abd0358ac4b5dd876dfc e08c348b0a504bcd8779123ba7fca91b068ab03c e3773f9e7df4f1e1ac4a50cc8c7ad74dcfa5caea 74b2b46973fe4cc0849ad5850049c22afa4dab1e 41006fccb6cf45957b0059205c52bc9e8eb2eac9 609efeabea8e6b3209a269279f8981c91e174f55 04cc0abf902fd1d4a46869ca18702bdd7c649de8 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\",\n          \"4d5b89f0a6797f41a5d0ee5b7b1cfe1327a291f4 0bc168ee93821542b8ecc1c87f5df91c417d3b73 83f24b2880d3a08533aab320c6e15f6fd46213bd afec4098ff7672773bc78d1ed6bee0fa194cd4b3 b3625a98258ceacc69889389baca3b048a4923e4 8d419a4b06c3bd95d00fe2ee5cf1146851cf9893 316fdbbdbe174b8656fb6f2a74d72461a304e472 b7036347f54fa5aef0dd3f66b4e44c56bbf54cf4 f97d947902327761a4b1472d76b71bf4406e4e18 79ae7b95cace51fb0079d9c5ef1641f4639ce3ed ea25a11eb9c83b7d70252710098ded6bc81eb62b ceae604760aaa4fd8b60791ae1839b754c2dd9f1 23197a0ba8a217f2bc8711ec3c4be39dc19236d7 e2df55df19acd4423bafccbb0b8a385ec5e914eb 3fac672b481a82151142ba447742313e39ebd868 5329d5d159837e103352035068b3e14ce570d7eb acc804cb5c6ba13a0ed3626c8a9506084adc7d87 943315f7b6cb0fc45604f5cf2ac307894e59b990 89b029338e8dd73f49369cd01c0052663c8c949e f91e2919e7494d796d1148066124d4b4939c86fa dfea720b528962d1af3c413fe56b15d102556089 2c43220b2ed7aa98f2230e7bd0aa782a8e06e86c 00354925173b9d829bebeb7418ab276b5321f316 7d69c36dbc4a37fc6643a32e914ea4e7ee0f0fc2 128f4c3fdc8539ea887fc54fe41fb2654e61d21e cf09211f8fce92ebb8209ea5703c84c95adababf 2173b9a446394ca5184fa3a39f910312f8262ae1 4a4d2d9184eecb47cb9b3b4ce997e1a1bd37515a 790d10062894a414ea7db85edbe433bbdd58554e 01896bd3329cb62ea6cce633bd9594a521c7eb00 e3773f9e7df4f1e1ac4a50cc8c7ad74dcfa5caea 0be9e22a6437a130a27d760a6044dfd741ba3e85 41006fccb6cf45957b0059205c52bc9e8eb2eac9 609efeabea8e6b3209a269279f8981c91e174f55 c53bc452792ff0b44ef4342b1dfdcc5256e54544 ac85af4c5313ae22e35f29e0ad4cc7d859d4b73a 471a1d5c286644db75306d1d9c9cbe5249f4e98e 10ded1179d3349c7594e5117de982d951d4de1fc 1aea5dc09556ef08f620c7b8d3a816e9a812e9c3 321d843de46a66adf2f508493b803187b9f3a488 2dadbb6a5bb73f1bc9a604a27ed3d9e47ab23299 20bf31a2b3be346947648c9c27876bc5f8b50de4 0e24afc14051165f920027d89f9f2185037c3654 15ba9de63999d8f46389024fc2f1c6ed7a3e51f1 fafed74d6fbd09b6f066aa83ba4a38e30e4379c5 094658d5fc003bad5c085219ff65122ddc885f1d 836658e7678c4b7410183ed50b0e263ebd6665bf df02b7c8b68f6ec003c80d1c814f037dfcd55b9f 14520d20adff40fb27695aae63868abe56dcaf25 d4ec9f131ac9b992101f89975d1aa9525f50faac c670faa4b0c2f337be3a5dd7023896927af82abb 5d4aa9cc3a38425b4861a39bf306f278c34c5915 33ff04f381603ec87b266a7f7d8ee63230d3ab4d 6c688e57ffaaa3e0f6b832b1698a0e0b4e166df9 fd64ac0598fbeb73ed97cf30b69998dcc1c7a55c 7ff6f594e600ece857707fa8b01534124647de42 7f7f4bd794be0a8e3ad16af50933b3725c30443a 1b3388c83b9ea78221c264bc4bd2b9ed163df9c5 4d2fc9148ddb9459165087751a8d0b6bb846681a afc155dfb40593981720bbd50f68eaf71891b9dd 4eb7e229a7ed9d2c82281d958731e5237b422651\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attack_type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Uploading\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attack_label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 12,\n        \"max\": 12,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":17}],"source":["data[data['Attack_type']=='Uploading'].head(5)"]},{"cell_type":"markdown","metadata":{"id":"-Vhl149jAuqf"},"source":["##BBPE algorithm"]},{"cell_type":"code","source":["device = torch.device(\"cuda\" if torch.cuda.is_available() else 'cpu')\n","device"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IoaPpjGNrMmE","executionInfo":{"status":"ok","timestamp":1709841397808,"user_tz":-60,"elapsed":6,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"459dd538-d0ab-40bd-f3f7-af89276c29a7"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["device(type='cuda')"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"4362V8YWnqGa"},"outputs":[],"source":["from tokenizers import ByteLevelBPETokenizer"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_doXCfbUPbXe"},"outputs":[],"source":["tokenizer = ByteLevelBPETokenizer()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"dosIywZJgCS7","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1709644399705,"user_tz":-60,"elapsed":374780,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"b81f3ae3-483d-494c-a152-e784a2f9ad52"},"outputs":[{"output_type":"stream","name":"stdout","text":["CPU times: user 10min 26s, sys: 3.02 s, total: 10min 29s\n","Wall time: 6min 14s\n"]}],"source":["%%time\n","tokenizer.train('./encoded_data.txt',vocab_size=30522,min_frequency=2,\n","                special_tokens=[\n","                    '<s>','<pad>','</s>','<unk>','<mask>'\n","\n","                ])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"M63B7ouCWzZ6"},"outputs":[],"source":["os.mkdir('tokenizer')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"VfNNLIVYjo9D","colab":{"base_uri":"https://localhost:8080/"},"outputId":"b7cdf8ad-e167-4666-e090-393041aa7727","executionInfo":{"status":"ok","timestamp":1709644497642,"user_tz":-60,"elapsed":393,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"execute_result","data":{"text/plain":["['./tokenizer/vocab.json', './tokenizer/merges.txt']"]},"metadata":{},"execution_count":20}],"source":["tokenizer.save_model(\"./tokenizer/\")"]},{"cell_type":"markdown","source":["##Model section"],"metadata":{"id":"L-AqsrKSGBAu"}},{"cell_type":"code","execution_count":15,"metadata":{"id":"qd8qdqeyWp00","executionInfo":{"status":"ok","timestamp":1709841401931,"user_tz":-60,"elapsed":573,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["tokenizer = RobertaTokenizer.from_pretrained('./tokenizer')"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"_Rp1ZEkRrZfH","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1709841403057,"user_tz":-60,"elapsed":297,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"7cc3d444-65be-4229-db95-d5f09fe0116d"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["7000"]},"metadata":{},"execution_count":16}],"source":["len(tokenizer.get_vocab())"]},{"cell_type":"markdown","metadata":{"id":"y-a-UghamAUV"},"source":["##Dataset and DataLoader"]},{"cell_type":"code","execution_count":17,"metadata":{"id":"2kPwFlnIl_UA","executionInfo":{"status":"ok","timestamp":1709841404161,"user_tz":-60,"elapsed":6,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["class CustomDataset(Dataset):\n","  def __init__(self,df,tokenizer,max_len):\n","    self.df = df\n","    self.tokenizer = tokenizer\n","    self.max_len=max_len\n","    self.sequence = self.df['encoded_PPFLE'].tolist()\n","    self.targets = self.df['target'].tolist()\n","\n","  def __len__(self):\n","    return len(self.df)\n","\n","  def __getitem__(self,idx):\n","    sequence = str(self.sequence[idx])\n","    target = self.targets[idx]\n","    encoding = self.tokenizer.encode_plus(\n","        sequence,\n","        add_special_tokens=True,\n","        max_length=self.max_len,\n","        padding='max_length',\n","        return_token_type_ids=False,\n","        truncation=True,\n","        return_attention_mask=True,\n","        return_tensors='pt'\n","    )\n","\n","    return {\n","        'input_ids':encoding['input_ids'].flatten(),\n","        'attention_mask':encoding['attention_mask'].flatten(),\n","        'targets':torch.tensor(target,dtype=torch.long)\n","    }\n"]},{"cell_type":"code","execution_count":18,"metadata":{"id":"J6SkqbXh1gei","executionInfo":{"status":"ok","timestamp":1709841409075,"user_tz":-60,"elapsed":309,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["MAX_LEN=512\n","BATCH_SIZE=32"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"-YCvzvjb3bJt","executionInfo":{"status":"ok","timestamp":1709841410671,"user_tz":-60,"elapsed":186,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["train_dataset = CustomDataset(train_set,tokenizer=tokenizer,max_len=MAX_LEN)\n","val_dataset = CustomDataset(val_set,tokenizer=tokenizer,max_len=MAX_LEN)\n","test_dataset = CustomDataset(test_set,tokenizer=tokenizer,max_len=MAX_LEN)"]},{"cell_type":"code","execution_count":20,"metadata":{"id":"ySdAebdS5MzM","executionInfo":{"status":"ok","timestamp":1709841412351,"user_tz":-60,"elapsed":198,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["train_loader = DataLoader(\n","    train_dataset,\n","    shuffle=True,\n","    batch_size=BATCH_SIZE,\n","    num_workers=0\n","\n",")\n","\n","val_loader = DataLoader(\n","    val_dataset,\n","    shuffle=False,\n","    batch_size=BATCH_SIZE,\n","    num_workers=0\n","\n",")\n","\n","test_loader = DataLoader(\n","    test_dataset,\n","    shuffle=False,\n","    batch_size=BATCH_SIZE,\n","    num_workers=0\n","\n",")"]},{"cell_type":"markdown","metadata":{"id":"fg4o5TSDT_mh"},"source":["#Fine tuning BERT"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":483,"referenced_widgets":["06e2b873bc16472c90bfa32ce28da7cb","f05497b3b295486f8e22eebadd99ce0a","bb81138f909643eaa4526f68508406d8","45501a8a73434dab9bd41aab461a17cd","b0cca18bf935490cbb8702084a695102","0241ed30d49142638058337dedd5cf7b","7f942c80f0a648418b08020b08ff03e2","62e5bc69dde24033bd9a45967a8160ae","129400eaf6ef4533b6e2e585376f38b0","9b23aaf31f444437b2ca8f12a881801a","054a2c4587ac4f00ae31fe703226120f"]},"id":"F4mZEjGFHGng","outputId":"ad79e1cd-fe6a-45c5-b722-e47cd973fc0f","executionInfo":{"status":"ok","timestamp":1709841417137,"user_tz":-60,"elapsed":1636,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["config.json:   0%|          | 0.00/570 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"06e2b873bc16472c90bfa32ce28da7cb"}},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["BertConfig {\n","  \"_name_or_path\": \"bert-base-uncased\",\n","  \"architectures\": [\n","    \"BertForMaskedLM\"\n","  ],\n","  \"attention_probs_dropout_prob\": 0.1,\n","  \"classifier_dropout\": null,\n","  \"gradient_checkpointing\": false,\n","  \"hidden_act\": \"gelu\",\n","  \"hidden_dropout_prob\": 0.1,\n","  \"hidden_size\": 768,\n","  \"initializer_range\": 0.02,\n","  \"intermediate_size\": 3072,\n","  \"layer_norm_eps\": 1e-12,\n","  \"max_position_embeddings\": 512,\n","  \"model_type\": \"bert\",\n","  \"num_attention_heads\": 12,\n","  \"num_hidden_layers\": 12,\n","  \"pad_token_id\": 0,\n","  \"position_embedding_type\": \"absolute\",\n","  \"transformers_version\": \"4.38.2\",\n","  \"type_vocab_size\": 2,\n","  \"use_cache\": true,\n","  \"vocab_size\": 30522\n","}"]},"metadata":{},"execution_count":21}],"source":["config = AutoConfig.from_pretrained(\"bert-base-uncased\")\n","config"]},{"cell_type":"code","execution_count":22,"metadata":{"id":"-oZf0G_9HrTK","executionInfo":{"status":"ok","timestamp":1709841417747,"user_tz":-60,"elapsed":4,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["config.hidden_size = 256\n","config.num_hidden_layers = 4\n","config.num_attention_heads = 16\n","config.intermediate_size = 512\n","config.vocab_size=7000\n"]},{"cell_type":"code","execution_count":23,"metadata":{"id":"iJT4QMoTGxhg","executionInfo":{"status":"ok","timestamp":1709841419828,"user_tz":-60,"elapsed":1117,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["finetunedBERT = AutoModel.from_config(config)"]},{"cell_type":"code","source":["finetunedBERT"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PwjfqBH4s58f","executionInfo":{"status":"ok","timestamp":1709841421334,"user_tz":-60,"elapsed":206,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"769dd300-ef6d-468d-9304-6ddddd23b333"},"execution_count":24,"outputs":[{"output_type":"execute_result","data":{"text/plain":["BertModel(\n","  (embeddings): BertEmbeddings(\n","    (word_embeddings): Embedding(7000, 256, padding_idx=0)\n","    (position_embeddings): Embedding(512, 256)\n","    (token_type_embeddings): Embedding(2, 256)\n","    (LayerNorm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)\n","    (dropout): Dropout(p=0.1, inplace=False)\n","  )\n","  (encoder): BertEncoder(\n","    (layer): ModuleList(\n","      (0-3): 4 x BertLayer(\n","        (attention): BertAttention(\n","          (self): BertSelfAttention(\n","            (query): Linear(in_features=256, out_features=256, bias=True)\n","            (key): Linear(in_features=256, out_features=256, bias=True)\n","            (value): Linear(in_features=256, out_features=256, bias=True)\n","            (dropout): Dropout(p=0.1, inplace=False)\n","          )\n","          (output): BertSelfOutput(\n","            (dense): Linear(in_features=256, out_features=256, bias=True)\n","            (LayerNorm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)\n","            (dropout): Dropout(p=0.1, inplace=False)\n","          )\n","        )\n","        (intermediate): BertIntermediate(\n","          (dense): Linear(in_features=256, out_features=512, bias=True)\n","          (intermediate_act_fn): GELUActivation()\n","        )\n","        (output): BertOutput(\n","          (dense): Linear(in_features=512, out_features=256, bias=True)\n","          (LayerNorm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)\n","          (dropout): Dropout(p=0.1, inplace=False)\n","        )\n","      )\n","    )\n","  )\n","  (pooler): BertPooler(\n","    (dense): Linear(in_features=256, out_features=256, bias=True)\n","    (activation): Tanh()\n","  )\n",")"]},"metadata":{},"execution_count":24}]},{"cell_type":"markdown","source":["###Model paramerters"],"metadata":{"id":"j1BinZU-HbRV"}},{"cell_type":"code","source":["sum(p.numel() for p in finetunedBERT.parameters())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jMmFblufsuY0","outputId":"6a170284-1cc4-44bd-de27-8dc3b4c45943","executionInfo":{"status":"ok","timestamp":1709841424788,"user_tz":-60,"elapsed":249,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":25,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4098304"]},"metadata":{},"execution_count":25}]},{"cell_type":"markdown","source":["##Model definition"],"metadata":{"id":"FkLQwTurHha8"}},{"cell_type":"code","execution_count":26,"metadata":{"id":"HDe95z9PgmlF","executionInfo":{"status":"ok","timestamp":1709841426161,"user_tz":-60,"elapsed":203,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["class SecurityBERT(nn.Module):\n","  def __init__(self,finetunedBERT,n_classes):\n","    super(SecurityBERT,self).__init__()\n","    self.bert = finetunedBERT\n","    self.dropout = nn.Dropout(p=0.1)\n","    self.out = nn.Linear(self.bert.config.hidden_size,n_classes)\n","\n","  def forward(self,input_ids,attention_mask):\n","    pooled_output = self.bert(\n","        input_ids=input_ids,\n","        attention_mask=attention_mask\n","    ).pooler_output\n","\n","    output = self.dropout(pooled_output)\n","\n","    return self.out(output)\n"]},{"cell_type":"code","execution_count":27,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VwNtYmTwg50N","outputId":"44f25cb7-af18-41d4-b96a-b9ebd5cc24e9","executionInfo":{"status":"ok","timestamp":1709841429063,"user_tz":-60,"elapsed":298,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["torch.Size([32, 512])\n"]}],"source":["test_data = next(iter(train_loader))\n","\n","print(test_data['input_ids'].shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"AqNwdzVvinxA"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"_do3F3LKjATh"},"outputs":[],"source":["# input_ids = test_data['input_ids'].to(device)\n","# attention_mask = test_data['attention_mask'].to(device)\n","\n","# res = nn.functional.softmax(securityBert(input_ids,attention_mask),dim=1)\n"]},{"cell_type":"markdown","metadata":{"id":"kLag9NRmjwAd"},"source":["###Subsection of training\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"quK3PxJdkNvO"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":28,"metadata":{"id":"VLlteHOA77E8","executionInfo":{"status":"ok","timestamp":1709841431855,"user_tz":-60,"elapsed":199,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def load_chkpt(model,version):\n","  return model.load_state_dict(torch.load(f\"./saved_model/securityBert{version}.0.pt\",map_location=torch.device('cpu')))"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"iCob4-N577BT"},"outputs":[],"source":[]},{"cell_type":"markdown","metadata":{"id":"PNtoJhKN75DP"},"source":["##Training and Evaluation"]},{"cell_type":"code","execution_count":29,"metadata":{"id":"FY5CRSZzJsk5","executionInfo":{"status":"ok","timestamp":1709841432723,"user_tz":-60,"elapsed":4,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def train_model(model,data_loader,loss_fn,optimizer,device,scheduler,n_examples):\n","  model = model.train()\n","\n","  losses = []\n","  correct_predictions = 0\n","\n","  for d in data_loader:\n","    input_ids = d['input_ids'].to(device)\n","    attention_mask = d['attention_mask'].to(device)\n","    targets = d['targets'].to(device)\n","\n","    outputs = model(input_ids,attention_mask)\n","    _,preds = torch.max(outputs,dim=1)\n","    loss = loss_fn(outputs,targets)\n","\n","    correct_predictions+=torch.sum(preds==targets).cpu()\n","\n","    losses.append(loss.item())\n","\n","    loss.backward()\n","    nn.utils.clip_grad_norm(model.parameters(),max_norm=1.0)\n","\n","    optimizer.step()\n","    scheduler.step()\n","\n","    optimizer.zero_grad()\n","\n","  return correct_predictions/n_examples,np.mean(losses)\n","\n","\n"]},{"cell_type":"code","execution_count":30,"metadata":{"id":"pCNg97lzJshc","executionInfo":{"status":"ok","timestamp":1709841435403,"user_tz":-60,"elapsed":3,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def evaluation_model(model,data_loader,loss_fn,device,n_examples):\n","  model = model.train()\n","\n","  losses = []\n","  correct_predictions = 0\n","\n","  for d in data_loader:\n","    input_ids = d['input_ids'].to(device)\n","    attention_mask = d['attention_mask'].to(device)\n","    targets = d['targets'].to(device)\n","\n","    outputs = model(input_ids,attention_mask)\n","    _,preds = torch.max(outputs,dim=1)\n","\n","    loss = loss_fn(outputs,targets)\n","\n","    correct_predictions+=torch.sum(preds==targets).cpu()\n","\n","    losses.append(loss.item())\n","\n","  return correct_predictions/n_examples,np.mean(losses)"]},{"cell_type":"code","execution_count":31,"metadata":{"id":"9zuh4lObjt-s","executionInfo":{"status":"ok","timestamp":1709841438911,"user_tz":-60,"elapsed":1158,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["securityBert = SecurityBERT(finetunedBERT=finetunedBERT,n_classes=len(TARGET_LIST)).to(device)\n","EPOCHS=3\n","optimizer = torch.optim.AdamW(securityBert.parameters(),lr=1e-5)\n","total_steps = len(train_loader)*EPOCHS\n","\n","scheduler = get_linear_schedule_with_warmup(\n","    optimizer,\n","    num_warmup_steps= 0,\n","    num_training_steps=total_steps\n",")\n","loss_fn = nn.CrossEntropyLoss().to(device)"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":188,"referenced_widgets":["b71fad6ac35f42c7ae0e50b9f099cff4","4a90fc00bfcd44c78e9a976a7dc727c0","29ff2a0f21e54e27a2a0f0ec6982212a","1277655feaf448d4a85e6dfabc572e14","4092f9403bbf427a89e1620478dd1bc7","95cccefcc9514edc87c975b58d93d313","110a08aea6444b76be86e0075c593537","d93b85c922e445f5937327f134d8c024","9b22d3170f8946a38cd089d0b17275a3","cbb55edeaac64149b9e266dac2b87a4e","93277f5ee14e4e7080e51523cd967d99"]},"id":"kiCTjE7DnZoB","outputId":"56da6cd4-65d1-4abf-bd06-75c4894c92d7","executionInfo":{"status":"ok","timestamp":1709845805574,"user_tz":-60,"elapsed":4364606,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/3 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b71fad6ac35f42c7ae0e50b9f099cff4"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Epoch 1/3\n","Train Loss 1.8015600891993193 | Validation Loss 0.7148944401257747 |Training Accuracy 0.36794313788414 |Validation Accuracy 0.7830587029457092\n","Epoch 2/3\n","Train Loss 0.3706269864692231 | Validation Loss 0.2499143367784249 |Training Accuracy 0.8695093393325806 |Validation Accuracy 0.8863962888717651\n","Epoch 3/3\n","Train Loss 0.2289319256124187 | Validation Loss 0.21982287220858238 |Training Accuracy 0.8887742161750793 |Validation Accuracy 0.8899028301239014\n","CPU times: user 1h 11min 50s, sys: 11.2 s, total: 1h 12min 2s\n","Wall time: 1h 12min 44s\n"]}],"source":["%%time\n","history = defaultdict(list)\n","best_accuracy=0\n","for epoch in tqdm(range(EPOCHS)):\n","  print(f\"Epoch {epoch+1}/{EPOCHS}\")\n","  train_acc,train_loss = train_model(securityBert,train_loader,loss_fn,optimizer,device,scheduler,len(train_set))\n","  val_acc,val_loss = evaluation_model(securityBert,val_loader,loss_fn,device,len(val_set))\n","  history['train_acc'].append(train_acc)\n","  history['train_loss'].append(train_loss)\n","  history['val_acc'].append(val_acc)\n","  history['val_loss'].append(val_loss)\n","  print(f\"Train Loss {train_loss} | Validation Loss {val_loss} |Training Accuracy {train_acc} |Validation Accuracy {val_acc}\")\n","\n","  if val_acc>best_accuracy:\n","    torch.save(securityBert.state_dict(),f\"./saved_model/securityBert{epoch+1}.0.pt\")\n","    best_accuracy = val_acc\n"]},{"cell_type":"code","source":["\n","epochs = range(1, EPOCHS+1)\n","train_losses = history['train_loss']\n","val_losses = history['val_loss']\n","\n","# Création du graphique\n","plt.figure(figsize=(10, 6))\n","\n","# Tracé des courbes de training et de validation losses\n","sns.lineplot(x=epochs, y=train_losses, label='Training Loss',marker=\"o\")\n","sns.lineplot(x=epochs, y=val_losses, label='Validation Loss',marker=\"o\")\n","\n","# Ajout de titres et de légendes\n","plt.title('Training et Validation Losses')\n","plt.xlabel('Epochs')\n","plt.ylabel('Loss')\n","plt.legend()\n","plt.savefig('./training-validation-losses.png',dpi=780)\n","# Affichage du graphique\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":564},"id":"BGVksLcAFqxi","outputId":"2e11a39d-904b-468b-d0d0-b7c55a7fc5ff","executionInfo":{"status":"ok","timestamp":1709845808803,"user_tz":-60,"elapsed":2880,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":33,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["epochs = range(1, EPOCHS+1)\n","train_accuracies = [tens.item() for tens in history['train_acc']]\n","val_accuracies = [tens.item() for tens in history['val_acc']]\n","\n","# Création du graphique\n","plt.figure(figsize=(10, 6))\n","\n","# Tracé des courbes de training et de validation losses\n","sns.lineplot(x=epochs, y=train_accuracies, label='Training accuracy',marker='o')\n","sns.lineplot(x=epochs, y=val_accuracies, label='Validation accuracy',marker='o')\n","\n","# Ajout de titres et de légendes\n","plt.title('Courbes de Training et Validation Losses')\n","plt.xlabel('Epochs')\n","plt.ylabel('Accuracy')\n","plt.legend()\n","plt.savefig('./training-validation-accuracies.png',dpi=780)\n","# Affichage du graphique\n","plt.show()\n"],"metadata":{"id":"xudMijR9GOnx","colab":{"base_uri":"https://localhost:8080/","height":564},"executionInfo":{"status":"ok","timestamp":1709845812673,"user_tz":-60,"elapsed":3876,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"5bfbd072-fc72-4b56-f165-479aa93a3ca5"},"execution_count":34,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x600 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","execution_count":35,"metadata":{"id":"J5lqxFLLokDU","executionInfo":{"status":"ok","timestamp":1709845812674,"user_tz":-60,"elapsed":9,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def get_predictions(model,test_loader):\n","    model = model.eval()\n","\n","    predictions,predictions_probs,real_values = [],[],[]\n","\n","    with torch.no_grad():\n","        for data in tqdm(test_loader,desc=\"Predictions\"):\n","            input_ids = data['input_ids'].to(device)\n","            attention_mask = data['attention_mask'].to(device)\n","            targets = data['targets'].to(device)\n","\n","            outputs = model(input_ids,attention_mask)\n","            _,preds = torch.max(outputs,dim=1)\n","\n","            probs = F.softmax(outputs,dim=1)\n","\n","            predictions.extend(preds)\n","            predictions_probs.extend(probs)\n","            real_values.extend(targets)\n","\n","    predictions = torch.stack(predictions).cpu()\n","    predictions_probs = torch.stack(predictions_probs).cpu()\n","    real_values = torch.stack(real_values).cpu()\n","\n","    return predictions,predictions_probs,real_values\n","\n"]},{"cell_type":"code","execution_count":36,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49,"referenced_widgets":["f6869f5ea0d64209a2a74e0867517572","79763fffaa78413499409709932f6e8d","e04ab75395a7476d8ff30ebc8d6c4eda","0f72fe4629ad4f6488ba1d5ec16f5355","733a26b6134b42f7846455d0e84b82da","615f08ee003a40a39829d48491c3d2ee","ed9431f0534c4c10b84623d543edc634","29062113c9ff41d1a9e06b4af32e3667","be37fef4668b4cffa3994e2ba02dd306","f67f6029d10f47bd8ba30b1f21311bd8","f22bfddae0494c94bb410a2db5c452ac"]},"id":"fI0NrGNHokDU","outputId":"5c892e90-15a4-46f5-93f0-2140dafc6583","executionInfo":{"status":"ok","timestamp":1709845957873,"user_tz":-60,"elapsed":145207,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[{"output_type":"display_data","data":{"text/plain":["Predictions:   0%|          | 0/740 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f6869f5ea0d64209a2a74e0867517572"}},"metadata":{}}],"source":["predictions,predictions_probs,real_values = get_predictions(securityBert,test_loader)"]},{"cell_type":"code","source":["torch.save(predictions,\"./saved_model/predictions.pt\")\n","torch.save(predictions_probs,\"./saved_model/predictions_probs.pt\")\n","torch.save(real_values,\"./saved_model/real_values.pt\")"],"metadata":{"id":"s5Lbt_ri_N1_","executionInfo":{"status":"ok","timestamp":1709845957874,"user_tz":-60,"elapsed":28,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":37,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"jSreWryMokDU"},"outputs":[],"source":["from sklearn.metrics import confusion_matrix,classification_report"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3pipq-Q6okDV"},"outputs":[],"source":["target_names = ['Backdoor', 'DDoS_HTTP', 'DDoS_ICMP', 'DDoS_TCP', 'DDoS_UDP',\n","       'Fingerprinting', 'MITM', 'Normal', 'Password', 'Port_Scanning',\n","       'Ransomware', 'SQL_injection', 'Uploading', 'Vulnerability_scanner',\n","       'XSS']"]},{"cell_type":"code","source":["s = set()"],"metadata":{"id":"ywZedR3IAnOA","executionInfo":{"status":"ok","timestamp":1709845957875,"user_tz":-60,"elapsed":28,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":38,"outputs":[]},{"cell_type":"code","source":["for elt in predictions:\n","  s.add(elt.item())"],"metadata":{"id":"rTZmk-KZCF9p","executionInfo":{"status":"ok","timestamp":1709845958312,"user_tz":-60,"elapsed":464,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":39,"outputs":[]},{"cell_type":"code","source":["acutal_considered_classes = [TARGET_LIST[i] for i in s]\n","acutal_considered_classes"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vO8CjcvcCLCw","executionInfo":{"status":"ok","timestamp":1709845958312,"user_tz":-60,"elapsed":10,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"a56e0177-95b1-4f80-e877-571c49dfe805"},"execution_count":40,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['Backdoor',\n"," 'DDoS_HTTP',\n"," 'DDoS_ICMP',\n"," 'DDoS_TCP',\n"," 'DDoS_UDP',\n"," 'MITM',\n"," 'Normal',\n"," 'Password',\n"," 'Port_Scanning',\n"," 'Ransomware',\n"," 'SQL_injection',\n"," 'Uploading',\n"," 'Vulnerability_scanner',\n"," 'XSS']"]},"metadata":{},"execution_count":40}]},{"cell_type":"code","source":["data['Attack_type'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2y4mvaJMCvId","executionInfo":{"status":"ok","timestamp":1709565495077,"user_tz":-60,"elapsed":4,"user":{"displayName":"Frédéric ADJEWA","userId":"05399498987797075944"}},"outputId":"5c7eadd3-b407-4c09-aff4-29e7e871d834"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Normal                   24301\n","DDoS_UDP                 14498\n","DDoS_ICMP                14090\n","Ransomware               10925\n","DDoS_HTTP                10561\n","SQL_injection            10311\n","Uploading                10269\n","DDoS_TCP                 10247\n","Backdoor                 10195\n","Vulnerability_scanner    10076\n","Port_Scanning            10071\n","XSS                      10052\n","Password                  9989\n","MITM                      1214\n","Fingerprinting            1001\n","Name: Attack_type, dtype: int64"]},"metadata":{},"execution_count":73}]},{"cell_type":"code","source":[],"metadata":{"id":"K7R8liALw4Ov"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":65,"metadata":{"id":"c3bOLUuyokDV","executionInfo":{"status":"ok","timestamp":1709846835896,"user_tz":-60,"elapsed":288,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"outputs":[],"source":["def show_confusion_matrix(confusion_matrix):\n","\n","    plt.figure(figsize=(10, 8))\n","    sns.heatmap(confusion_matrix, annot=True, cmap='Blues', fmt='d')\n","    plt.xticks(rotation=90)\n","    plt.title(\"Matrice de confusion\")\n","    plt.ylabel('Real threats')\n","    plt.xlabel('Predicted threats')\n","    plt.savefig('./Matrice de confusion.png',dpi=780)\n","    plt.show()\n","\n","\n","\n","\n"]},{"cell_type":"code","source":["from sklearn.metrics import confusion_matrix,classification_report"],"metadata":{"id":"GlO1_cOgxMuv","executionInfo":{"status":"ok","timestamp":1709846114744,"user_tz":-60,"elapsed":194,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":43,"outputs":[]},{"cell_type":"code","source":["print(classification_report(real_values,predictions,target_names=TARGET_LIST))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3KdvUvTcxTf6","executionInfo":{"status":"ok","timestamp":1709846169687,"user_tz":-60,"elapsed":11,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"d01ecd70-a00c-40dd-fde3-c4a47258e9ad"},"execution_count":45,"outputs":[{"output_type":"stream","name":"stdout","text":["                       precision    recall  f1-score   support\n","\n","             Backdoor       0.69      0.86      0.76      1529\n","            DDoS_HTTP       0.54      0.98      0.70      1584\n","            DDoS_ICMP       0.99      0.99      0.99      2114\n","             DDoS_TCP       1.00      1.00      1.00      1537\n","             DDoS_UDP       0.99      1.00      1.00      2175\n","       Fingerprinting       0.00      0.00      0.00       150\n","                 MITM       1.00      1.00      1.00       182\n","               Normal       1.00      1.00      1.00      3645\n","             Password       0.87      0.11      0.19      1498\n","        Port_Scanning       0.92      0.95      0.93      1511\n","           Ransomware       0.71      0.59      0.64      1639\n","        SQL_injection       1.00      1.00      1.00      1547\n","            Uploading       1.00      1.00      1.00      1540\n","Vulnerability_scanner       1.00      1.00      1.00      1511\n","                  XSS       1.00      1.00      1.00      1508\n","\n","             accuracy                           0.89     23670\n","            macro avg       0.85      0.83      0.81     23670\n","         weighted avg       0.91      0.89      0.88     23670\n","\n"]}]},{"cell_type":"code","source":["cm = confusion_matrix(real_values,predictions)\n","df_cm = pd.DataFrame(cm,index=TARGET_LIST,columns=TARGET_LIST)\n","show_confusion_matrix(df_cm)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":853},"id":"JtrUqn2axiLV","executionInfo":{"status":"ok","timestamp":1709846845212,"user_tz":-60,"elapsed":5215,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}},"outputId":"fced79e3-de38-4e35-81d6-318f2cf967e5"},"execution_count":66,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA6QAAANECAYAAACn++JfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1QUV8MG8GfpvYjKIqAoKEUFuyAWsIG9xV6w924MYsGCijXWF7uCitFYYi+xYWKNGruIxoBGBUUElSJ1vz/42LgBBXRhdvD5nTPnuDN3Zp65o8jde+eORCaTyUBERERERERUzNSEDkBERERERETfJjZIiYiIiIiISBBskBIREREREZEg2CAlIiIiIiIiQbBBSkRERERERIJgg5SIiIiIiIgEwQYpERERERERCYINUiIiIiIiIhIEG6REREREREQkCDZIiYjomzdr1ixIJBKhYwAAgoODIZFIEBUVJXSUr3b8+HHUqFEDOjo6kEgkSEhIUOrxS1JdERF9q9ggJSKiYpPTgJBIJDh//nyu7TKZDNbW1pBIJGjbtu0XnWP+/PnYv3//VyalrxUXF4du3bpBV1cX//vf/7Bt2zbo6+sLHYuIiFQMG6RERFTsdHR0sGPHjlzrz507h2fPnkFbW/uLj/0lDdLp06cjJSXli89JuV29ehXv379HQEAABg0ahD59+kBTU1Op5+jbty9SUlJQoUIFpR6XiIiKDxukRERU7Fq3bo3du3cjIyNDYf2OHTtQu3ZtSKXSYsmRlJQEANDQ0ICOjk6xnPNb8erVKwCAiYlJkZ1DXV1dPhyYiIjEiQ1SIiIqdj179kRcXBxOnjwpX5eWloY9e/agV69eee6zZMkSNGjQAGZmZtDV1UXt2rWxZ88ehTISiQRJSUkICQmRDw3u378/gH+fE71//z569eoFU1NTNGzYUGHbf23fvh316tWDnp4eTE1N0bhxY/z6668KZY4dO4ZGjRpBX18fhoaGaNOmDe7du1egerh37x6aNm0KXV1dWFlZYe7cucjKysqz7NecJyEhARMmTICNjQ20tbVhZWWFfv364fXr1/Iyr169wqBBg2Bubg4dHR24uLggJCRE4ThRUVGQSCRYsmQJ1q9fD1tbW2hra6Nu3bq4evWqvJyHhwd8fHwAAHXr1lW4DzY2NvI/f8zDwwMeHh4K61atWoWqVavK679OnToKPeufeoY0KCgIVatWhba2NsqVK4dRo0blen7Vw8MD1apVw/379+Hp6Qk9PT1YWlpi0aJFBapTIiJSDg2hAxAR0bfHxsYGbm5u+Omnn9CqVSsA2Q2ut2/fokePHli5cmWufVasWIH27dujd+/eSEtLw86dO9G1a1ccPnwYbdq0AQBs27YNgwcPRr169TB06FAAgK2trcJxunbtisqVK2P+/PmQyWSfzDh79mzMmjULDRo0wJw5c6ClpYUrV67gzJkzaNmypfx8Pj4+8PLywsKFC5GcnIw1a9agYcOGuHHjBmxsbD55/JiYGHh6eiIjIwNTpkyBvr4+1q9fD11d3Vxlv+Y8iYmJaNSoEcLDwzFw4EDUqlULr1+/xsGDB/Hs2TOULl0aKSkp8PDwwF9//YXRo0ejYsWK2L17N/r374+EhASMGzdO4Zg7duzA+/fvMWzYMEgkEixatAidO3fG33//DU1NTUybNg329vZYv3495syZg4oVK+a6D/nZsGEDxo4di++++w7jxo3Dhw8fcPv2bVy5cuWTX1oA2V8uzJ49G82bN8eIESMQERGBNWvW4OrVq7hw4YLCsOH4+Hh4e3ujc+fO6NatG/bs2QNfX19Ur15d/veSiIiKmIyIiKiYbNmyRQZAdvXqVdnq1atlhoaGsuTkZJlMJpN17dpV5unpKZPJZLIKFSrI2rRpo7BvTrkcaWlpsmrVqsmaNm2qsF5fX1/m4+OT69wzZ86UAZD17Nnzk9tyPHr0SKampibr1KmTLDMzU6FsVlaWTCaTyd6/fy8zMTGRDRkyRGF7TEyMzNjYONf6/xo/frwMgOzKlSvyda9evZIZGxvLAMgiIyOVch5/f38ZANm+fftybcu5luXLl8sAyLZv3y7flpaWJnNzc5MZGBjI3r17J5PJZLLIyEgZAJmZmZnszZs38rIHDhyQAZAdOnRIvu7je/2xChUq5Hl/mjRpImvSpIn8c4cOHWRVq1b97LXlnCOnrl69eiXT0tKStWzZUuG+rV69WgZAtnnzZoXzAZBt3bpVvi41NVUmlUplXbp0+ex5iYhIeThkl4iIBNGtWzekpKTg8OHDeP/+PQ4fPvzZnq+Pew7j4+Px9u1bNGrUCH/++Wehzjt8+PB8y+zfvx9ZWVnw9/eHmprif5U5Q3tPnjyJhIQE9OzZE69fv5Yv6urqqF+/Ps6ePfvZcxw9ehSurq6oV6+efF2ZMmXQu3dvhXJfe569e/fCxcUFnTp1yrUt51qOHj0KqVSKnj17yrdpampi7NixSExMxLlz5xT26969O0xNTeWfGzVqBAD4+++/P5ulMExMTPDs2TOFocD5OXXqFNLS0jB+/HiF+zZkyBAYGRnhyJEjCuUNDAzQp08f+WctLS3Uq1dPqddBRESfxyG7REQkiDJlyqB58+bYsWMHkpOTkZmZie++++6T5Q8fPoy5c+fi5s2bSE1Nla8v7IQ2FStWzLfM48ePoaamBicnp0+WefToEQCgadOmeW43MjL67DmePHmC+vXr51pvb2+v1PM8fvwYXbp0yTdL5cqVczW+HR0d5ds/Vr58eYXPOY3T+Pj4z56nMHx9fXHq1CnUq1cPdnZ2aNmyJXr16gV3d/dP7pOT8791qKWlhUqVKuW6Disrq1x/f0xNTXH79m0lXQUREeWHDVIiIhJMr169MGTIEMTExKBVq1afnJH1999/R/v27dG4cWMEBQXBwsICmpqa2LJlS56vj/mcvJ7R/BI5kw9t27Ytz1mBNTSU819scZ2nMNTV1fNcL/vMM7k5PvUFQmZmpsJxHR0dERERgcOHD+P48ePYu3cvgoKC4O/vj9mzZ39Z8P/4musgIiLlYIOUiIgE06lTJwwbNgyXL1/Grl27Pllu79690NHRwYkTJxTeUbply5ZcZZXxChBbW1tkZWXh/v37qFGjxifLAEDZsmXRvHnzQp+jQoUK8t7Pj0VERCj1PLa2trh7926+WW7fvo2srCyFXtIHDx7ItyuLqalprhlvgezezUqVKims09fXR/fu3dG9e3ekpaWhc+fOmDdvHvz8/PJ8TU9OzoiICIVjpaWlITIy8ovqj4iIihafISUiIsEYGBhgzZo1mDVrFtq1a/fJcurq6pBIJMjMzJSvi4qKwv79+3OV1dfXz7PBUxgdO3aEmpoa5syZk+s1LDm9Z15eXjAyMsL8+fORnp6e6xixsbGfPUfr1q1x+fJl/PHHHwr7hIaGKpT72vN06dIFt27dwi+//JJrW861tG7dGjExMQpfCmRkZGDVqlUwMDBAkyZNPnuOwrC1tcXly5eRlpYmX3f48GH8888/CuXi4uIUPmtpacHJyQkymSzPegCA5s2bQ0tLCytXrlTo5dy0aRPevn0rn42ZiIhUB3tIiYhIUDnvq/ycNm3a4Mcff4S3tzd69eqFV69e4X//+x/s7OxyPe9Xu3ZtnDp1Cj/++CPKlSuHihUr5vms5ufY2dlh2rRpCAgIQKNGjdC5c2doa2vj6tWrKFeuHAIDA2FkZIQ1a9agb9++qFWrFnr06IEyZcrg6dOnOHLkCNzd3bF69epPnuOHH37Atm3b4O3tjXHjxslf+5LTW5nja88zefJk7NmzB127dsXAgQNRu3ZtvHnzBgcPHsTatWvh4uKCoUOHYt26dejfvz+uX78OGxsb7NmzBxcuXMDy5cthaGhYqPr7nMGDB2PPnj3w9vZGt27d8PjxY2zfvj3Xa2FatmwJqVQKd3d3mJubIzw8HKtXr0abNm0+madMmTLw8/PD7Nmz4e3tjfbt2yMiIgJBQUGoW7euwgRGRESkIoSc4peIiL4tn3oVyH/l9dqXTZs2ySpXrizT1taWOTg4yLZs2ZLrdS0ymUz24MEDWePGjWW6uroyAPJXjOSUjY2NzXW+vI4jk8lkmzdvltWsWVOmra0tMzU1lTVp0kR28uRJhTJnz56VeXl5yYyNjWU6OjoyW1tbWf/+/WXXrl3Ltz5u374ta9KkiUxHR0dmaWkpCwgIkG3atEnhVSbKOE9cXJxs9OjRMktLS5mWlpbMyspK5uPjI3v9+rW8zMuXL2UDBgyQlS5dWqalpSWrXr26bMuWLQrHyXnty+LFi3OdA4Bs5syZ8s+fu9dLly6VWVpayrS1tWXu7u6ya9eu5Xrty7p162SNGzeWmZmZybS1tWW2trayyZMny96+fZvrHP+tq9WrV8scHBxkmpqaMnNzc9mIESNk8fHxCmWaNGmS52tlfHx8ZBUqVMhdiUREVCQkMhmf3CciIiIiIqLix2dIiYiIiIiISBBskBIREREREZEg2CAlIiIiIiIiQbBBSkRERERERIJgg5SIiIiIiIgEwQYpERERERERCYINUiIiIiIiIhKEhtABiIrT9uvPhI5QIN+5WAkdgYhIpYnlLeopaZlCR8iXnra60BGIFOiocAtFt+Zowc6dcmO1YOcuSuwhJSIiIiIiIkGo8PcPREREREREKkTC/jxlY40SERERERGRINhDSkREREREVBASidAJShz2kBIREREREZEg2CAlIiIiIiIiQXDILhERERERUUFwUiOlY40SERERERGRINhDSkREREREVBCc1Ejp2ENKREREREREgmCDlIiIiIiIiATBIbtEREREREQFwUmNlI41SkRERERERIJgg5QKzMbGBsuXLy/UPh4eHhg/fnyR5CEiIiIiKlYSiXBLCcUGaQnRv39/SCQS+WJmZgZvb2/cvn1b6Ggq70n4bexcPA3LRnZDQK9meHD1vML2c3tCEDSpPxYMaIPFgztg+7zJeP5XuEKZlMR3+GX1fCwc1A6LBrfHofWLkfYhRaHMvcthWO83FIH9W2Pl2J64eGhXkV8bAOzcEYpWLZqibs3q6N2jK+6o2N+Jly9fws/3ezRuUB/1ajmjS8d2uHf3jtCx8qTqdQkwozKpes7r165izMjhaO7REC5V7XHm9CmhI+VJ1erx+rWrGDtqOFp4NkSNannX29+PH2Pc6OFo6FobrnVroFf3LoiOflFkmW5cv4bvx41Eu5ZN4FbLCefOKmZ6E/caATOnol3LJvBoUAvjRw3FP0+j5NujXzyHWy2nPJfTJ48XWe68qNr9/hQx5GRG+lawQVqCeHt7Izo6GtHR0Th9+jQ0NDTQtm1boWMVubS0tK/aPz01BeYVbNFqwNg8t5eysIJ3/zEYtmADfGatgHEZc4QG+iLpXYK8zC//m4/Y51Ho47cIPb6fh6fhd3B444/y7X/dvIL9/5uP2s3aYfjCjWg1YByuHNuLqyf2f1X2/Bw/dhRLFgVi2MhR2Ln7F9jbO2DEsEGIi4sr0vMW1Lu3b9G/T09oaGjif2s3YN/BI5g02RdGRsZCR8tF1esSYEZlEkPOlJRk2Nvbw2/6TKGjfJIq1mNKSjKq2NvDb1re9fbP06cY0K8XbCpWwsYt27B770EMHT4S2lraRZbpw4dkVK5ij0lTZuTaJpPJ4DtxDF48+wcLl61GyI69kFpYYOzwQUhJSQYAlDWX4vCv5xSWwcNHQ09PD27ujYos93+p4v3OixhyMqMKk6gJt5RQJffKvkHa2tqQSqWQSqWoUaMGpkyZgn/++QexsbEAAF9fX1SpUgV6enqoVKkSZsyYgfT0dIVjHDp0CHXr1oWOjg5Kly6NTp06ffJ8GzduhImJCU6fPg0ASEpKQr9+/WBgYAALCwssXbo01z7x8fHo168fTE1Noaenh1atWuHRo0cKZfbu3YuqVatCW1sbNjY2uY5jY2ODgIAA9OvXD0ZGRhg6dOgX1VcOuxr14dltIBzqNsxze3X3ZqhUvTZMzcuhrJUNWvYZgdSUJLx6+jcAIPb5Ezy+dRVth0yCpZ0jyjtUh1f/0bh36Szex78GANw+fwr2td1Ru3k7mJqXQ+WarnDv0BMXD+2ETCb7qvyfsy1kCzp/1w0dO3WBrZ0dps+cDR0dHezft7fIzlkYmzdtgLlUioB5gaju7AwrK2s0cG8I6/LlhY6Wi6rXJcCMyiSGnA0bNcHocRPQrHkLoaN8kirWY8NGTTB67AQ0/US9rV65DA0bNcaEST/AwdEJ1uXLw8OzGUqZmRVZJjf3xhg2ahw8mjbPte2fp09w984tTJ7qD6eq1VHBpiJ+mDoTqampOHn8KABAXV0dZqXLKCznzp5C0xbe0NPTL7Lc/6WK9zsvYsjJjPQtYYO0hEpMTMT27dthZ2cHs///T9TQ0BDBwcG4f/8+VqxYgQ0bNmDZsmXyfY4cOYJOnTqhdevWuHHjBk6fPo169erlefxFixZhypQp+PXXX9GsWTMAwOTJk3Hu3DkcOHAAv/76K8LCwvDnn38q7Ne/f39cu3YNBw8exKVLlyCTydC6dWt5w/j69evo1q0bevTogTt37mDWrFmYMWMGgoODFY6zZMkSuLi44MaNG5gxI/c3ykUlMyMdf545Am09fZiXtwUAPH90Hzp6BihXyV5erlK12pBIJHj+14Ps/dLToaGlpXAsTS0tvHsTi7evXxZJ1vS0NITfvwdXtwbydWpqanB1bYDbt24UyTkL69zZM6hatRq+nzAWHo3c0K1LR+zd/bPQsXIRQ10yo/KIJaeqE2M9ZmVl4fffwlDBxgYjhg6CZ2M39OnZVdDh0DmjgLQ+6qFVU1ODppYWbt38M899Hty/h0cRD9CuY5diyQiI536LISczkjKsWbMGzs7OMDIygpGREdzc3HDs2DH5dg8PD4XH/SQSCYYPH65wjKdPn6JNmzbQ09ND2bJlMXnyZGRkZCiUCQsLQ61ataCtrQ07O7tcv7MXBF/7UoIcPnwYBgYGALJ7Ky0sLHD48GGoqWV/7zB9+nR5WRsbG3z//ffYuXMnfvjhBwDAvHnz0KNHD8yePVtezsXFJdd5fH19sW3bNpw7dw5Vq1YFkN0A3rRpE7Zv3y5voIaEhMDKykq+36NHj3Dw4EFcuHABDRpk/wALDQ2FtbU19u/fj65du+LHH39Es2bN5I3MKlWq4P79+1i8eDH69+8vP1bTpk0xadKkz9ZHamoqUlNTFdalp6VC8wuGXT388xL2rZqL9LRUGJqUQh+/RdD7/2GliQlvoGdsolBeTV0dugZGSEx4AwCwda6DX7evQeTdP2HjVANvXj7HpSN7svePj4NJGWmhM+UnPiEemZmZ8i8kcpiZmSEy8m+ln+9LPHv2D37e9RP6+gzAoKHDce/OHSwMnAtNTU207/jp3vniJoa6ZEblEUtOVSfGenzzJg7JycnYvGkDRo0Zj3ETv8fF879j0vjR2LB5K+rUzftL2qJkY1MRUqkF1qxeBt9ps6Crq4udoVvx6mUM4v5/BNR/HTqwFzYVK8HZpWax5RTL/RZDTmZUcSKZXMjKygoLFixA5cqVIZPJEBISgg4dOuDGjRvy39+HDBmCOXPmyPfR09OT/zkzMxNt2rSBVCrFxYsXER0djX79+kFTUxPz588HAERGRqJNmzYYPnw4QkNDcfr0aQwePBgWFhbw8vIqcFY2SEsQT09PrFmzBkD20NigoCC0atUKf/zxBypUqIBdu3Zh5cqVePz4MRITE5GRkQEjIyP5/jdv3sSQIUM+e46lS5ciKSkJ165dQ6VKleTrHz9+jLS0NNSvX1++rlSpUrC3/7fXMDw8HBoaGgplzMzMYG9vj/DwcHmZDh06KJzT3d0dy5cvR2ZmJtTV1QEAderUybc+AgMDFRrXANBpyAR0HjYx333/y8apBoYGrkfy+7e4cfYI9q4MwMA5q6FvbFqg/Ws2bYM3r15g5+JpyMzMgLauPup5d8Zve0MgUft2BypkZclQtVo1jB2ffU8cHZ3w11+PsPvnnSrVICWib0NWVhYAwMOzGfr26w8AcHBwxK2bf2LPzzsFaZBqaGoicMlKzJ8zHV4eblBXV0edem5wc2+U5yMfHz58wK/HjmDAkOF5HI2IvhXt2rVT+Dxv3jysWbMGly9fljdI9fT0IJXm3Sny66+/4v79+zh16hTMzc1Ro0YNBAQEwNfXF7NmzYKWlhbWrl2LihUryh+vc3R0xPnz57Fs2bJCNUi/3d+ESyB9fX3Y2dnBzs4OdevWxcaNG5GUlIQNGzbg0qVL6N27N1q3bo3Dhw/jxo0bmDZtmsKEQLq6uvmeo1GjRsjMzMTPPws7rFJfP/9nYvz8/PD27VuFpd2AUV90Pi0dXZSSWsKqshPaDZ0MNTV13AjLHvZgYFIKyW8TFMpnZWYiJfEdDExKAQAkEgma9xwK3y2HMXblDkxcsxuWttmNdZOyFl+UKT+mJqZQV1fPNblAXFwcSpcuXSTnLKwyZcqgkq2twrpKlSoV6WyWX0IMdcmMyiOWnKpOjPVoamoKDQ0N2P7n51LFSraC/lxycKqKrTt/wclzV3Do13NY/r/1ePs2AeUsrXOVPXvqV3z4kIJWbTvkcaSiI5b7LYaczKjiBJzUKDU1Fe/evVNY/jsaMC+ZmZnYuXMnkpKS4ObmJl8fGhqK0qVLo1q1avDz80NycrJ826VLl1C9enWYm5vL13l5eeHdu3e4d++evEzz5orPvnt5eeHSpUuFqlI2SEswiUQCNTU1pKSk4OLFi6hQoQKmTZuGOnXqoHLlynjy5IlCeWdnZ/kERZ9Sr149HDt2DPPnz8eSJUvk621tbaGpqYkrV67I18XHx+Phw4fyz46OjsjIyFAoExcXh4iICDg5OcnLXLhwQeGcFy5cQJUqVeS9owWlra0tHzefs3zJcN28yGRZyPz/514tKzvhQ3Iiov/+91oj792ATCaDpZ2Dwn5qauowKlUG6hqauHvxLKwqO0HfyEQpmf5LU0sLjk5VceXyvz8UsrKycOXKpWIdxvU5NWrWQlRkpMK6J1FRKFfOUqBEeRNDXTKj8oglp6oTYz1qamrBqWr1PH8uWajAzyUDQ0OYmpbCP0+j8OD+PTT2aJqrzKEDe9GoSVOYmpYq1mxiud9iyMmM9CmBgYEwNjZWWAIDAz9Z/s6dOzAwMIC2tjaGDx+OX375Rf47d69evbB9+3acPXsWfn5+2LZtG/r06SPfNyYmRqExCkD+OSYm5rNl3r17h5QUxdcffg6H7JYgqamp8r8g8fHxWL16NRITE9GuXTu8e/cOT58+xc6dO1G3bl0cOXIEv/zyi8L+M2fORLNmzWBra4sePXogIyMDR48eha+vr0K5Bg0a4OjRo2jVqhU0NDQwfvx4GBgYYNCgQZg8eTLMzMxQtmxZTJs2Tf78KgBUrlwZHTp0wJAhQ7Bu3ToYGhpiypQpsLS0lA/TnTRpEurWrYuAgAB0794dly5dwurVqxEUFFRk9Zb2IQVvYp7LPyfExiAm6i/oGhhC18AI5/eHokrtBjAwMUPK+7e4evIA3sW/hqNrEwBAGcsKsHWpi8Mbl6L1wAnIyszA8eCVqOrmCUPT7G8Jk9+9Rfgfv6GCowsy0tNw69xxhF85h34zluWZSVn6+gzAjKm+qFq1GqpVd8b2bSFISUlBx06di/S8BdWnnw98+vTExvVr0dKrFe7euY09e36G/6w5+e9czFS9LgFmVCYx5ExOSsLTp0/ln58/e4YH4eEwNjaGRblyAib7lyrWY3Lyf+rt+TM8ePD/9WZRDv0HDMIP309ArTp1UbdefVw8/zt+O3cWG7dsLdJMz/75N9OL58/xMCIcRkbGkFqUw+mTx2FqWgrmUgs8/ushli0ORGOPZqjv5q5wnH+ePsHNP69h6cq1RZb1c1TxfudFDDmZkfLi5+eHiRMVHz3T1v50Z4u9vT1u3ryJt2/fYs+ePfDx8cG5c+fg5OSk8JaK6tWrw8LCAs2aNcPjx49zjRIpamyQliDHjx+HhUX28E9DQ0M4ODhg9+7d8PDwAABMmDABo0ePRmpqKtq0aYMZM2Zg1qxZ8v09PDywe/duBAQEYMGCBTAyMkLjxo3zPFfDhg1x5MgRtG7dGurq6hgzZgwWL14sbwAbGhpi0qRJePv2rcJ+W7Zswbhx49C2bVukpaWhcePGOHr0KDQ1NQEAtWrVws8//wx/f38EBATAwsICc+bMUZjQSNle/B2BbXP/nSDp5Pbs53CdG7dEm4ET8Dr6H9xePgvJ799B18AI5Wzt0d9/Ocpa2cj36TRqKo4Fr8L2+d9DIlGDQ71G8PYZrXCeW7+dwMnQ7F8SrOyc0G/Gj7l6UJXNu1VrxL95g6DVK/H6dSzsHRwRtG4jzFRkOE216s74ccVqrFz+I9at+R8srazwg+9UtGnbXuhouah6XQLMqExiyHnv3l0MHtBP/nnJouxvydt36ISA+QuEiqVAFevx3t27GDLw33pb+v/11q5DJwTMW4CmzVtguv8sbNq4HosC56KCTUUsWbYSNWvlP3fBl3pw/x5GDe0v/7zyx4UAgNbtOmLG7PmIex2LlT8uwpu41yhdugy823bAwDyeET18YB/KmpvnaqgWF1W833kRQ05mVGECTmqkra392Qbof2lpacHOzg4AULt2bVy9ehUrVqzAunXrcpXNmePlr7/+gq2tLaRSKf744w+FMi9fZr8ZIue5U6lUKl/3cRkjI6MCPQqYQyIrypcgEqmY7defCR2hQL5zscq/EBHRN0wsv72kpGUKHSFfetqFeySGqKjpqHCXma77NMHOnXJh3lft37RpU5QvXz7PV7NcuHABDRs2xK1bt+Ds7Ixjx46hbdu2iI6ORtmyZQEA69evx+TJk/Hq1Stoa2vD19cXR48exZ07d+TH6dWrF968eYPjx48XOJcK324iIiIiIiIVIhHHFDx+fn5o1aoVypcvj/fv32PHjh0ICwvDiRMn8PjxY+zYsQOtW7eGmZkZbt++jQkTJqBx48ZwdnYGALRs2RJOTk7o27cvFi1ahJiYGEyfPh2jRo2S99IOHz4cq1evxg8//ICBAwfizJkz+Pnnn3HkyJFCZWWDlIiIiIiIqAR59eoV+vXrh+joaBgbG8PZ2RknTpxAixYt8M8//+DUqVNYvnw5kpKSYG1tjS5dumD69Ony/dXV1XH48GGMGDECbm5u0NfXh4+Pj8J7SytWrIgjR45gwoQJWLFiBaysrLBx48ZCvfIF4JBd+sZwyC4RUckglt9eOGSXqPBUeshuI3/Bzp3yu+pN+qgM4uhzJiIiIiIiohKHDVIiIiIiIiIShAp3iBMREREREakQkUxqJCasUSIiIiIiIhIEe0iJiIiIiIgKgj2kSscaJSIiIiIiIkGwQUpERERERESC4JBdIiIiIiKiglCTCJ2gxGEPKREREREREQmCPaREREREREQFwUmNlI41SkRERERERIJgg5SIiIiIiIgEwSG79E35zsVK6AgFsvy3x0JHyNf4xrZCRyCiIiKTCZ0gfxKRzCuip60udAQiUiax/PAREfaQEhERERERkSDYQ0pERERERFQQnNRI6VijREREREREJAj2kBIRERERERUEnyFVOvaQEhERERERkSDYICUiIiIiIiJBcMguERERERFRQXBSI6VjjRIREREREZEg2ENKRERERERUEJzUSOnYQ0pERERERESCYIOUiIiIiIiIBMEhu0RERERERAXBSY2UjjVKREREREREgmAPKRERERERUUFwUiOlYw+pCunfvz8kEgkkEgk0NTVhbm6OFi1aYPPmzcjKypKXs7GxkZfT1dWFjY0NunXrhjNnzhT6nLGxsRgxYgTKly8PbW1tSKVSeHl54cKFCwXa38bGBsuXL8+1ftasWahRo0auvHktH193XouNjQ0AwMPDQ75OR0cHTk5OCAoKKvQ1K9POHaFo1aIp6tasjt49uuLO7dtFcp6YR3dwKmgWdk7pgy0jWuPJzYsK238P+RFbRrRWWH5dNSPXcf658wcOLRyPrWM7InRiN5xeO0dhe+KbVzj5v5nYOrYTfprcE1f3bkJWZmaRXNPHiqsev5YYcjKj8oghpypl3LRhHXp174IG9WrCs7Ebxo8diajIv/MsK5PJMGr4YNSoZo8zp08Vc9K8qVJdfgozKo8YcjIjfSvYIFUx3t7eiI6ORlRUFI4dOwZPT0+MGzcObdu2RUZGhrzcnDlzEB0djYiICGzduhUmJiZo3rw55s2bV6jzdenSBTdu3EBISAgePnyIgwcPwsPDA3FxcUq7pqtXryI6OhrR0dHYu3cvACAiIkK+bsWKFfI/R0dHAwC2bNki/3z16lX5sYYMGYLo6Gjcv38f3bp1w6hRo/DTTz8pLWthHD92FEsWBWLYyFHYufsX2Ns7YMSwQUqtuxwZqR9galkRbj1GfrKMpVNtdF+wXb40GfiDwvaoP8/jt+AlqOzWAh2mrUabyUtQqa6HfHtWViZO/m8msjLS0WbyEjTymYhHl0/ixqFtSr+ejxVnPX4NMeRkRuURQ05Vy3j92h/o3rM3tu74GWvXb0FGegZGDB2ElOTkXGW3bwtRqV4GVavLvDCj8oghJzOqMImacEsJVXKvTKRyeiktLS1Rq1YtTJ06FQcOHMCxY8cQHBwsL2doaAipVIry5cujcePGWL9+PWbMmAF/f39ERETIy507dw716tWDtrY2LCwsMGXKFHnDNiEhAb///jsWLlwIT09PVKhQAfXq1YOfnx/at2+vtGsqU6YMpFIppFIpSpUqBQAoW7asfJ2xsbH8z1KpFABgYmIi/1ymTBn5sfT09CCVSlGpUiXMmjULlStXxsGDB5WWtTC2hWxB5++6oWOnLrC1s8P0mbOho6OD/fv2Kv1cVtXqonYHH1So0eCTZdQ1NaFnXEq+aOsbyrdlZWbiyu51qNt5EBwat4GxuRVMLMqjYu3G8jIv7v+Jt9H/oPGAyTCztoVVtbqo1a4vws8dRmZGutKvKUdx1uPXEENOZlQeMeRUtYxB6zahQ8fOsLOrDHsHB8yZtwDR0S9w//49hXIPHoRjW8hmzA6YL0jOvKhaXeaFGZVHDDmZkb4lbJCKQNOmTeHi4oJ9+/Z9tty4ceMgk8lw4MABAMDz58/RunVr1K1bF7du3cKaNWuwadMmzJ07FwBgYGAAAwMD7N+/H6mpqUV+HUVBV1cXaWlpxX7e9LQ0hN+/B1e3fxuIampqcHVtgNu3bhR7HgCIeXgHP03uib0zh+DijtX4kPhOvi3un7+QnBAHiUSCA/NGY6dvb/y6agbin0fJy7yKfABTSxvoGpnK11k61Ub6h2QkRD8tksyqWI95EUNOZlQeMeQUQ8bExPcAAGNjY/m6lJQUTP1hEvym+aN06TKf2rVYiaEumVF5xJCTGelbwwapSDg4OCAqKuqzZUqVKoWyZcvKywUFBcHa2hqrV6+Gg4MDOnbsiNmzZ2Pp0qXIysqChoYGgoODERISAhMTE7i7u2Pq1Km4Xcjx/76+vvLGbc4yf37RfvOdmZmJ7du34/bt22jatGmeZVJTU/Hu3TuFRVkN7/iEeGRmZsLMzExhvZmZGV6/fq2UcxSGpVNtNPKZBK/x81Gn0wDEPLqDk6v9kZWV/fzn+9gYAMCNI6FwadUDzUfOgraeAY4tm4LUpOxfGlPexUPH0EThuLpG2Z9T3r4pktyqVo+fIoaczKg8Ysip6hmzsrKweMF81KhZC3aVq8jXL1kUCJcaNeHZtLmA6RSpel0CzKhMYsjJjCpOIhFuKaHYIBUJmUwGSQH+In5cLjw8HG5ubgr7ubu7IzExEc+ePQOQ/QzpixcvcPDgQXh7eyMsLAy1atVSGB6cn8mTJ+PmzZsKy/Dhwwt3gQUUFBQEAwMD6OrqYsiQIZgwYQJGjBiRZ9nAwEAYGxsrLIsXBhZJLqFVqtsE5V1cUcqyIirUaIAWI2fh9ZOHiHl4BwAgk2VPiuXi3QM2tRqidIXKaNhvIiABIv/8XcjoRFQCBc6djb/+eoSFi5fJ14WdPY0/rlzG5ClTBUxGRESqhq99EYnw8HBUrFjxs2Xi4uIQGxubb7n/0tHRQYsWLdCiRQvMmDEDgwcPxsyZM9G/f/8C7V+6dGnY2dkprMt5VlTZevfujWnTpkFXVxcWFhZQU/v0dyp+fn6YOHGiwjqZurZScpiamEJdXT3Xg/txcXEoXbq0Us7xNQzLWEDbwAjvYl+gnEMN6Bln3w8Ti/LyMuqamjAsLUXSm1gAgK6RKV5HPVQ4Tsq7hOxtxkVzP1W9HnOIISczKo8YcqpyxsB5c/DbuTBsDtkO8/+fFwAA/rhyGc/+eYpGbnUVyn8/YQxq1qqDTcFFO4Hap6hyXeZgRuURQ05mVHEleHIhobBGReDMmTO4c+cOunTp8tlyK1asgJqaGjp27AgAcHR0xKVLlyCTyeRlLly4AENDQ1hZWX3yOE5OTkhKSlJKdmUzNjaGnZ0dLC0tP9sYBbIniDIyMlJYtLWV0yDV1NKCo1NVXLl8Sb4uKysLV65cgrNLTaWc42skxb9GatJ76BllNyTNyleGuoYm3r58Ji+TlZmBxLhXMChVFgBQtqID4p9HyRuhAPAi/AY0dfRgIi2PoqDq9ZhDDDmZUXnEkFMVM8pkMgTOm4Mzp09i/eYQWFpZK2wfOHgodu87iF179ssXAPj+Bz/MmSvcBEeqWJf/xYzKI4aczEjfGvaQqpjU1FTExMQgMzMTL1++xPHjxxEYGIi2bduiX79+8nLv379HTEwM0tPTERkZie3bt2Pjxo0IDAyU91aOHDkSy5cvx5gxYzB69GhERERg5syZmDhxItTU1BAXF4euXbti4MCBcHZ2hqGhIa5du4ZFixahQ4cOQlWBaPT1GYAZU31RtWo1VKvujO3bQpCSkoKOnTor/VzpH1LwLvaF/HNi3EvE/fMY2vqG0NYzxM0jO1Chpjt0jU3xPjYa1/ZthlEZC1g61QYAaOnqwb5Ra9w4vB36pmVgUKos7pzcAwCwqdUQAFDOqRaMLazxW/AS1O08ECnv4vHnwa1wbNIW6pqaSr+mHMVZj19DDDmZUXnEkFPVMs6fOxvHjh7G8pVB0NfXx+vX2aMvDAwMoaOjg9Kly+Q5kZHUolyuxmtxU7W6zAszKo8YcjIjfUvYIFUxx48fh4WFBTQ0NGBqagoXFxesXLkSPj4+Cj2C/v7+8Pf3h5aWFqRSKVxdXXH69Gl4enrKy1haWuLo0aOYPHkyXFxcUKpUKQwaNAjTp08HkD3Lbv369bFs2TI8fvwY6enpsLa2xpAhQzB1Kp/xyY93q9aIf/MGQatX4vXrWNg7OCJo3UaYFcFQlddPH+H4sinyz3/s2QAAsHNtDreeo/DmeST+unwKaSlJ0DMuhXJOtVCrXV+FhmTdLoMgUVfHb8FLkJmeijI29vAeHyh/PYyamjpajJyFiz/9D4cXTYKGtjbsXJujZru+Sr+ejxVnPX4NMeRkRuURQ05Vy7h7V/Y7oQcPUPyZMXtuIDp0VO1fUFWtLvPCjMojhpzMqMI4ZFfpJLKPx3MSlXAfMoROUDDLf3ssdIR8jW9sK3QEIioiYvjNoARPOEn0zdNR4S4z3XZBgp075dBIwc5dlFT4dhMREREREakQfhumdOxzpk8KDQ3N9X7RnKVq1apCxyMiIiIiIpFjDyl9Uvv27VG/fv08t2kW4SQ3REREREQqic+QKh0bpPRJhoaGMDQ0FDoGERERERGVUGziExERERERkSDYQ0pERERERFQQnNRI6dhDSkRERERERIJgDykREREREVFBcFIjpWONEhERERERkSDYICUiIiIiIiJBcMguERERERFRQXBSI6VjDykREREREREJgj2kREREREREBSBhD6nSsYeUiIiIiIiIBMEeUiIiIiIiogJgD6nysUFKpILGN7YVOkK+em+9LnSEfIX2qy10hAKRyYROkD/+//tt4f0mIqLiwiG7REREREREJAj2kBIRERERERUER5AoHXtIiYiIiIiISBDsISUiIiIiIioATmqkfOwhJSIiIiIiIkGwQUpERERERESC4JBdIiIiIiKiAuCQXeVjDykREREREREJgj2kREREREREBcAeUuVjDykREREREREJgj2kREREREREBcAeUuVjDykREREREREJgg1SIiIiIiIiEgSH7BIRERERERUER+wqHXtIVUz//v0hkUggkUigqakJc3NztGjRAps3b0ZWVpa8nI2Njbycrq4ubGxs0K1bN5w5c6bQ54yNjcWIESNQvnx5aGtrQyqVwsvLCxcuXCjQ/jY2Nli+fLnCuhs3bqBr164wNzeHjo4OKleujCFDhuDhw4cAgKioKEgkEqirq+P58+cK+0ZHR0NDQwMSiQRRUVEK5XMWMzMztGzZEjdu3Cj09SrTzh2haNWiKerWrI7ePbrizu3bgubJS3Fl7OQsxcJ2DtjetwY293SGbzNblDPSViijqS7BYDdrBPdywfa+NTC5aSUY6yh+L1bdwhDz2thje98a2NjDGX3qWELtox/+3WpaYO/A2rmW0L41iuS6PqZK9/v6tasYO2o4Wng2RI1q9jhz+pTC9hnTpqBGNXuFZeSwQQKlVaRK9fg5YsjJjMqjyjk3bViHXt26wK1uTXg0csP4MSMRFfm30LHypMr1+DEx5GRG+lawQaqCvL29ER0djaioKBw7dgyenp4YN24c2rZti4yMDHm5OXPmIDo6GhEREdi6dStMTEzQvHlzzJs3r1Dn69KlC27cuIGQkBA8fPgQBw8ehIeHB+Li4r4o/+HDh+Hq6orU1FSEhoYiPDwc27dvh7GxMWbMmKFQ1tLSElu3blVYFxISAktLyzyPferUKURHR+PEiRNITExEq1atkJCQ8EU5v9bxY0exZFEgho0chZ27f4G9vQNGDBv0xfVWFIozY1WpAY6Hx8Lv0APMPvEI6moS+HtXhrbGvz9mBtSzRh1rEyw5+zf8jz6EqZ4mfmhmK99eoZQuprW0w83n7/D9/nD8GPY36pY3Rp86//59OHjnJQb9dEth+Sc+BZei4pV+TR9TtfudkpKMKvb28Js285Nl3Bs2wqmw8/JlwaIfizFh3lStHj9FDDmZUXlUPee1q3+ge8/e2PbTz1i3YQsyMjIwfMggJCcnCx1NgarXYw4x5GRG1fVxB0lxLyUVG6QqKKeX0tLSErVq1cLUqVNx4MABHDt2DMHBwfJyhoaGkEqlKF++PBo3boz169djxowZ8Pf3R0REhLzcuXPnUK9ePWhra8PCwgJTpkyRN2wTEhLw+++/Y+HChfD09ESFChVQr149+Pn5oX379oXOnpycjAEDBqB169Y4ePAgmjdvjooVK6J+/fpYsmQJ1q1bp1Dex8cHW7ZsUVi3ZcsW+Pj45Hl8MzMzSKVS1KlTB0uWLMHLly9x5cqVQudUhm0hW9D5u27o2KkLbO3sMH3mbOjo6GD/vr2C5MlLcWac++tfOPtXHP5J+IAnb1Kw+vcolDHQhq2ZHgBAT1MNTauYIfiPf3A3+j3+jkvG/36PgoO5ASqX0QcAuFc0xZM3Kdh9Mxox71NxPyYR264+h7djWej8f8P2Q0YWElIy5IuxriasTXVx+mHR/geoave7YaMmGD12Apo2b/HJMppaWihduox8MTI2LsaEeVO1evwUMeRkRuVR9Zxr1m9Ch06dYWdXGfYODpgzbwGio18g/P49oaMpUPV6zCGGnMxI3xI2SEWiadOmcHFxwb59+z5bbty4cZDJZDhw4AAA4Pnz52jdujXq1q2LW7duYc2aNdi0aRPmzp0LADAwMICBgQH279+P1NTUr8554sQJvH79Gj/88EOe201MTBQ+t2/fHvHx8Th//jwA4Pz584iPj0e7du3yPZeuri4AIC0t7etCf4H0tDSE378HV7cG8nVqampwdW2A27eEHUacQ+iMeprqAID3qdlfflQqrQ9NdTXcfvFeXub521TEJqbCvmx2g1RTXQ1pmVkKx0nLzIK2hhpsS+vleZ7mVUrj+dsPCH+ZWBSXAUD4uvxS167+Ac/GbujQ1gvz5sxEQkLR9iLnRyz1KIaczKg8Ysn5scT32T9HVeFLphxiqUcx5GRG+tawQSoiDg4O8mcqP6VUqVIoW7asvFxQUBCsra2xevVqODg4oGPHjpg9ezaWLl2KrKwsaGhoIDg4GCEhITAxMYG7uzumTp2K21/4DMCjR4/kWQtCU1MTffr0webNmwEAmzdvRp8+faCpqfnZ/RISEhAQEAADAwPUq1cvzzKpqal49+6dwqKMRjcAxCfEIzMzE2ZmZgrrzczM8Pr1a6Wc42sJmVECYEB9K4S/TMQ/CR8AACa6GkjPzEJyWqZC2YSUDJjoZt/vm8/ewr6sARpWMoWaBCilp4muNSwAAKZ6uf9OaKpL0Mi2FE4/LNrrEcP9/i9390aYO38h1m8MxrgJk3H92lWMGj4EmZmZ+e9cRMRSj2LIyYzKI5acObKysrBo4XzUqFkLlStXETqOnFjqUQw5mVG1cciu8rFBKiIymaxAfxk/LhceHg43NzeF/dzd3ZGYmIhnz54ByH6G9MWLFzh48CC8vb0RFhaGWrVqKQwPLkzGwho4cCB2796NmJgY7N69GwMHDvxk2QYNGsDAwACmpqa4desWdu3aBXNz8zzLBgYGwtjYWGFZvDCw0Pmo8Ia4lUd5U138eLZwk27cevEe264+w9AGFbDTpxZWdamKP5+9BQBk5fFXq34FE+hqqiPsUcl+XuVLeLduAw/PZqhcxR5NmzXHyv+tw727d3Dt6h9CRyOirzB/7mw8fvQIi5YsEzoKEZFSsEEqIuHh4ahYseJny8TFxSE2Njbfcv+lo6ODFi1aYMaMGbh48SL69++PmTM/PVnKp1Spkv1t7YMHDwq8T/Xq1eHg4ICePXvC0dER1apV+2TZXbt24datW4iPj8fjx4/RunXrT5b18/PD27dvFZbJvn4Fv5jPMDUxhbq6eq4H9+Pi4lC6dGmlnONrCZVxsKs1alsbY+axh3iTnC5fn5CSAU11NehpqSuUN9HVQELKv+UO3XuFfttvYtiuOxiw4xb+eJLdIH35PnfvdrMqpXH9nwS8/ZCRa5syieF+58fK2hqmpqb45+kTwTKIpR7FkJMZlUcsOQFg/tw5+O1cGDZsCYG5VCp0HAViqUcx5GRG1SaWHtI1a9bA2dkZRkZGMDIygpubG44dOybf/uHDB4waNQpmZmYwMDBAly5d8PLlS4VjPH36FG3atIGenh7Kli2LyZMnK0ywCkDekaWtrQ07O7sv6tBig1Qkzpw5gzt37qBLly6fLbdixQqoqamhY8eOAABHR0dcunRJoefywoULMDQ0hJWV1SeP4+TkhKSkpELnbNmyJUqXLo1Fixbluf1TM+IOHDgQYWFhn+0dBQBra2vY2trmehY1L9ra2vJ/hDmLtrZ2vvsVhKaWFhydquLK5UvydVlZWbhy5RKcXWoq5RxfS4iMg12tUa+CCWYdf4hXiYrP9v79OgnpmVlwtjCUrytnpI0yBtqIeJX771p8SjrSMmVoVMkUsYlpiIxTnE2yrIEWqlkYFvlkRoA47nd+XsbEICEhAaXLlBEsg1jqUQw5mVF5xJBTJpNh/tw5OHP6JDZsDoGVlbXQkXIRQz0C4sjJjKQMVlZWWLBgAa5fv45r166hadOm6NChA+7dy54MbcKECTh06BB2796Nc+fO4cWLF+jcubN8/8zMTLRp0wZpaWm4ePEiQkJCEBwcDH9/f3mZyMhItGnTBp6enrh58ybGjx+PwYMH48SJE4XKqpF/ESpuqampiImJQWZmJl6+fInjx48jMDAQbdu2Rb9+/eTl3r9/j5iYGKSnpyMyMhLbt2/Hxo0bERgYCDs7OwDAyJEjsXz5cowZMwajR49GREQEZs6ciYkTJ0JNTQ1xcXHo2rUrBg4cCGdnZxgaGuLatWtYtGgROnToUOjs+vr62LhxI7p27Yr27dtj7NixsLOzw+vXr/Hzzz/j6dOn2LlzZ679hgwZgq5duxaooakq+voMwIypvqhatRqqVXfG9m0hSElJQcdOnfPfuZgUZ8YhbtZoVKkUFpx+jJT0TJjoZv94SU7LRFqmDMnpWTjzMA7961shMTUDyelZGORqjQcvE/Eo9t8GaYdq5rjx/C1ksuwhuR2dpfjx7N+5huw2rVIa8cnpuPH/Q3qLmqrd7+TkJDx9+lT++fnzZ3jwIFw+PH1t0Go0b+EFs9Kl8eyff7D8x8WwLl8BDdwbCZI3h6rV46eIISczKo+q55wfMBvHjh7G8lVB0NfTx+vYWACAgaEhdHR0BE73L1WvxxxiyMmMqkssz3L+d4LQefPmYc2aNbh8+TKsrKywadMm7NixA02bNgWQ/ZYLR0dHXL58Ga6urvj1119x//59nDp1Cubm5qhRowYCAgLg6+uLWbNmQUtLC2vXrkXFihWxdOlSANkdYefPn8eyZcvg5eVV4KxskKqg48ePw8LCAhoaGjA1NYWLiwtWrlwJHx8fqKn926nt7+8Pf39/aGlpQSqVwtXVFadPn4anp6e8jKWlJY4ePYrJkyfDxcUFpUqVwqBBgzB9+nQA2bPs1q9fH8uWLcPjx4+Rnp4Oa2trDBkyBFOnTv2i/B06dMDFixcRGBiIXr164d27d7C2tkbTpk3ls/v+l4aGhuiGeHi3ao34N28QtHolXr+Ohb2DI4LWbYSZCl1HcWb0diwLAAhoba+wfvVvUTj7V3Yv5pY//kEWrPB9M1toqklw8/k7bLj0VKF8TSsjdHGRQkNdDU/eJGPh6ce48eydQhkJAE87M4T9FZfns6VFQdXu9727dzFk4L9fUC1dlP18dLsOnTBtxiw8evgQhw7ux/t371GmbFm4NXDHqNHjoKWlJUjeHKpWj58ihpzMqDyqnvPnXT8BAAb176uwfs7cQHRQoV/+Vb0ec4ghJzNSXlJTU3NN0KmtrZ3vCMDMzEzs3r0bSUlJcHNzw/Xr15Geno7mzZvLyzg4OKB8+fK4dOkSXF1dcenSJVSvXl1hrhYvLy+MGDEC9+7dQ82aNXHp0iWFY+SUGT9+fKGuSyL7klloiESqiB81/Kb03npd6Aj5Cu1XW+gIBSKGn8Ii+UKYiIhKAB0V7jIz6/eTYOceUykCs2fPVlg3c+ZMzJo1K8/yd+7cgZubGz58+AADAwPs2LEDrVu3xo4dOzBgwIBcjdt69erB09MTCxcuxNChQ/HkyROF4bfJycnQ19fH0aNH0apVK1SpUgUDBgyAn9+/c7QcPXoUbdq0QXJysvwVjflR4dtNRERERESkQgT8gtbPzw8TJ05UWPe53lF7e3vcvHkTb9++xZ49e+Dj44Nz584VdcxC46RG9FmhoaEwMDDIc6latarQ8YiIiIiIvgmFnbBTS0sLdnZ2qF27NgIDA+Hi4oIVK1ZAKpUiLS0t12SjL1++hPT/Z/CWSqW5Zt3N+ZxfGSMjowL3jgLsIaV8tG/fHvXr189zm6amZjGnISIiIiISjlgmNcpLVlYWUlNTUbt2bWhqauL06dPyN3hERETg6dOncHNzAwC4ublh3rx5ePXqFcqWzZ4n5OTJkzAyMoKTk5O8zNGjRxXOcfLkSfkxCooNUvosQ0NDGBoa5l+QiIiIiIhUgp+fH1q1aoXy5cvj/fv32LFjB8LCwnDixAkYGxtj0KBBmDhxIkqVKgUjIyOMGTMGbm5ucHV1BZD9KkcnJyf07dsXixYtQkxMDKZPn45Ro0bJe2WHDx+O1atX44cffsDAgQNx5swZ/Pzzzzhy5EihsrJBSkREREREVIK8evUK/fr1Q3R0NIyNjeHs7IwTJ06gRYsWAIBly5ZBTU0NXbp0QWpqKry8vBAUFCTfX11dHYcPH8aIESPg5uYGfX19+Pj4YM6cOfIyFStWxJEjRzBhwgSsWLECVlZW2LhxY6Fe+QJwll36xnCWXeXhLLvKI4afwiIeoURERCKjyrPslhmwS7Bzx27pLti5ixInNSIiIiIiIiJBqPD3D0RERERERKpDzJMaqSr2kBIREREREZEg2CAlIiIiIiIiQXDILhERERERUUFwxK7SsYeUiIiIiIiIBMEeUiIiIiIiogLgpEbKxx5SIiIiIiIiEgR7SImIiIiIiAqAPaTKxwYpEX2R0H61hY6Qr/9d+FvoCAUyyr2S0BGIiIiIBMEhu0RERERERCQI9pASEREREREVAIfsKh97SImIiIiIiEgQ7CElIiIiIiIqAPaQKh97SImIiIiIiEgQbJASERERERGRIDhkl4iIiIiIqCA4Ylfp2ENKREREREREgmAPKRERERERUQFwUiPlYw8pERERERERCYI9pERERERERAXAHlLlYw8pERERERERCYINUiIiIiIiIhIEh+wSEREREREVAIfsKh97SEWmf//+kEgkkEgk0NTUhLm5OVq0aIHNmzcjKytLXs7GxkZeTldXFzY2NujWrRvOnDlT6HPGxsZixIgRKF++PLS1tSGVSuHl5YULFy58dr+wsDB5hk8tYWFhAIC9e/fCw8MDxsbGMDAwgLOzM+bMmYM3b94AAIKDg+X7qKmpwcrKCgMGDMCrV68KfT3KtHNHKFq1aIq6Naujd4+uuHP7tqB58sKMiqIf3sHx1TOxfXJvrB/aClE3LipsD9uyFOuHtlJYjq6YrlDm+OpZCPXth00j22Pb971wZtNiJCXEybdnpKchbMtS7J41AhuGt8GJ/80psuv5L95v5RFLTgDYtGE9XKraY1HgPKGj5KLq9bhpwzr06tYFbnVrwqORG8aPGYmoyL+FjpUnVa9LQBwZAXHkZEb6VrBBKkLe3t6Ijo5GVFQUjh07Bk9PT4wbNw5t27ZFRkaGvNycOXMQHR2NiIgIbN26FSYmJmjevDnmzSvcLyxdunTBjRs3EBISgocPH+LgwYPw8PBAXFzcZ/dr0KABoqOj5Uu3bt3k2XOWBg0aYNq0aejevTvq1q2LY8eO4e7du1i6dClu3bqFbdu2yY9nZGSE6OhoPHv2DBs2bMCxY8fQt2/fwlWeEh0/dhRLFgVi2MhR2Ln7F9jbO2DEsEH51ktxYsbc0lM/wMyqEtx7jfxkGeuqddBncah8aTbYV2F7OXsXNB/mh24BG9BixHS8j43GqbX//ruSZWVBXUsL1Zq1h6VjzSK5jrzwfiuPWHICwN07t7Fn905UqWIvdJRcxFCP167+ge49e2PbTz9j3YYtyMjIwPAhg5CcnCx0NAViqEsxZATEkZMZVZhEwKWEYoNUhHJ6KS0tLVGrVi1MnToVBw4cwLFjxxAcHCwvZ2hoCKlUivLly6Nx48ZYv349ZsyYAX9/f0RERMjLnTt3DvXq1YO2tjYsLCwwZcoUecM2ISEBv//+OxYuXAhPT09UqFAB9erVg5+fH9q3b//ZnFpaWpBKpfJFV1dXnj1nuXnzJubPn4+lS5di8eLFaNCgAWxsbNCiRQvs3bsXPj4+8uNJJBJIpVKUK1cOrVq1wtixY3Hq1CmkpKQot4ILaFvIFnT+rhs6duoCWzs7TJ85Gzo6Oti/b68gefLCjLmVr14XdTv6oGJN90+WUdPQhJ5xKfmirW+osN25RSeYV3KEoZk5pLZOcPHuhpeRD5D1//9uNLV10Kj3GDg2agU9I9MiuY688H4rj1hyJiclwc93MmbOngsjY2Oh4+Qihnpcs34TOnTqDDu7yrB3cMCceQsQHf0C4ffvCR1NgRjqUgwZAXHkZEb6lrBBWkI0bdoULi4u2Ldv32fLjRs3DjKZDAcOHAAAPH/+HK1bt0bdunVx69YtrFmzBps2bcLcuXMBAAYGBjAwMMD+/fuRmpqq9NyhoaEwMDDAyJF591aZmJh8cl9dXV1kZWUp9AoXl/S0NITfvwdXtwbydWpqanB1bYDbt24Ue568MOOXi354G1sn9cCuGYPxe+gqfEh898myH5Le468/zsK8kiPUNIR7LF9V6/JjYsgIiCcnAMyfOweNGzdRyKoqxFSPH0t8/x4AVKqBL4a6FENGQBw5mZG+NZzUqARxcHDA7XzG7pcqVQply5ZFVFQUACAoKAjW1tZYvXo1JBIJHBwc8OLFC/j6+sLf3x8aGhoIDg7GkCFDsHbtWtSqVQtNmjRBjx494Ozs/NWZHz16hEqVKkFTU7PQ+61duxZ16tSBoaFhnmVSU1NzNaJl6trQ1tb+4rw54hPikZmZCTMzM4X1ZmZmiFSRZ4+Y8ctYVa0Nm5ruMCptjnex0fhjfzCOrZyBDlN+hJqaurzclb2bcO/sIWSkpaJsJQd4j54tSN4cqliX/yWGjIB4ch47egTh4fexY9ceoaPkSSz1+LGsrCwsWjgfNWrWQuXKVYSOIyeGuhRDRkAcOZlRtXFSI+VjD2kJIpPJCvSP5ONy4eHhcHNzU9jP3d0diYmJePbsGYDsZ0hfvHiBgwcPwtvbG2FhYahVq5bC8OCvyVxQb9++hYGBAfT09GBvbw9zc3OEhoZ+snxgYCCMjY0VlsULA786M5VsdvU8YFPDFaWsKsKmZgN4j56N2KiHiI5Q/LLHpeV36DxjNVqPnweJRA1nNy8p1N9noq8REx2NRQvmIXDhYqV8yUbZ5s+djcePHmHRkmVCRyEi+mawh7QECQ8PR8WKFT9bJi4uDrGxsfmW+y8dHR20aNECLVq0wIwZMzB48GDMnDkT/fv3/4rEQJUqVXD+/Hmkp6fn20tqaGiIP//8E2pqarCwsICuru5ny/v5+WHixIkK62TqyvnFzdTEFOrq6rke3I+Li0Pp0qWVco6vxYzKYVTGAjoGRnj7KlphgiIdQ2PoGBrDxNwKJhbW2OHbD6/+fgBzW0dBcoqhLsWQERBHzvv37+FNXBx6dO0sX5eZmYnr165i50+huHrjDtTV1T9zhKInhnr82Py5c/DbuTBsDtkOc6lU6DgKxFCXYsgIiCMnM6o29pAqH3tIS4gzZ87gzp076NKly2fLrVixAmpqaujYsSMAwNHREZcuXVLo2blw4QIMDQ1hZWX1yeM4OTkhKSnpq3P36tULiYmJCAoKynN7QkKC/M9qamqws7NDpUqV8m2MAtmTPxkZGSksyupJ0NTSgqNTVVy5fEm+LisrC1euXIKzS/HNqvo5zKgcifGx+JD0HnrGpT5dKCv7309mRnoxpcpNDHUphoyAOHLWd3XFnv2HsGvvfvlStWo1tG7bDrv27he8MQqIox6B7JE68+fOwZnTJ7FhcwisrKyFjpSLGOpSDBkBceRkRvrWsIdUhFJTUxETE4PMzEy8fPkSx48fR2BgINq2bYt+/frJy71//x4xMTFIT09HZGQktm/fjo0bNyIwMBB2dnYAgJEjR2L58uUYM2YMRo8ejYiICMycORMTJ06Empoa4uLi0LVrVwwcOBDOzs4wNDTEtWvXsGjRInTo0OGrr6V+/fr44YcfMGnSJDx//hydOnVCuXLl8Ndff2Ht2rVo2LAhxo0b99XnKQp9fQZgxlRfVK1aDdWqO2P7thCkpKSgY6fO+e9cTJgxt/QPKXgb+0L++d3rl3j9z2Po6BlCW98Q1w+HomItd+gZlcK72Be4snczjMuUg3XVWgCAV38/wKuoh5BWrgptPQO8i43GtQPbYFTGAuaVHOTHjX/xBJmZGfiQ9B7pH1Lw+p/HAIDS1rZFcl0A77cyqXpOfX2DXM846urpwcTYRKWefVT1egSA+QGzcezoYSxfFQR9PX28jo0FABgYGkJHR0fgdP8SQ12KISMgjpzMqLrYQ6p8bJCK0PHjx2FhYQENDQ2YmprCxcUFK1euhI+PD9TU/u309vf3h7+/v/z1K66urjh9+jQ8PT3lZSwtLXH06FFMnjwZLi4uKFWqFAYNGoTp06cDyJ5lt379+li2bBkeP36M9PR0WFtbY8iQIZg6dapSrmfhwoWoXbs2/ve//2Ht2rXIysqCra0tvvvuO4XXvqga71atEf/mDYJWr8Tr17Gwd3BE0LqNMFOhoSrMmFvsk0c4vPTf94pe3r0eAFDFrTka9h6NN88i8fDSKaQlJ0HPpBSsnGqhTod+UNfUAgBoaGkj6sZFXD+0HRmpH6BnXApW1WqjVms/eRkAOLbKH4lxr+Sf9wWMBgAMXX+sSK4L4P1WJrHkVHViqMefd/0EABjUX/G91nPmBqKDCv1iLYa6FENGQBw5mZG+JRIZZ+Ggb8iH4n9DDAnofxfEMdPfKPdKQkcgIiJSGToq3GVmM+6wYOeOWtFWsHMXJRW+3URERERERKqDQ3aVj5Ma0VcJDQ2FgYFBnkvVqlWFjkdERERERCqMPaT0Vdq3b4/69evnuS2/17gQEREREYkKO0iVjg1S+iqGhoYwNDQUOgYREREREYkQh+wSERERERGRINhDSkREREREVACc1Ej52ENKREREREREgmAPKRERERERUQGwh1T52ENKREREREREgmAPKRERERERUQGwg1T52ENKREREREREgmCDlIiIiIiIiATBIbtEREREREQFwEmNlI89pERERERERCQI9pASEREREREVADtIlY8NUiIqsUa5VxI6QoF02fSH0BHytXdQPaEjEBERUQnEIbtEREREREQkCPaQEhERERERFQAnNVI+9pASERERERGRINhDSkREREREVADsIFU+9pASERERERGRINhDSkREREREVABqauwiVTb2kBIREREREZEg2CAlIiIiIiIiQXDILhERERERUQFwUiPlYw8pERERERERCYI9pERERERERAUgYRep0rGHlIiIiIiIiATBBikREREREREJgkN2iYiIiIiICoAjdpWPPaQi0L9/f0gkEkgkEmhqasLc3BwtWrTA5s2bkZWVJS9nY2MjL6erqwsbGxt069YNZ86cKfQ5Y2NjMWLECJQvXx7a2tqQSqXw8vLChQsXCrS/RCLB/v3787yWjh07yj97eHjIM2tra8PS0hLt2rXDvn378jxmzmJsbAx3d/cvujZl2rkjFK1aNEXdmtXRu0dX3Ll9W9A8eWFG5SmunF1rWGBZJyfsHlAbof1qYnrLyrA01lEo4+1YBoHtHLB7QG0cGVYP+lrqCturWxjiyLB6eS6Vy+gDAMoaaOW53b6sfpFcVw7eb+VhRuURQ05mVB4x5GRG+lawQSoS3t7eiI6ORlRUFI4dOwZPT0+MGzcObdu2RUZGhrzcnDlzEB0djYiICGzduhUmJiZo3rw55s2bV6jzdenSBTdu3EBISAgePnyIgwcPwsPDA3Fxccq+NAwZMgTR0dF4/Pgx9u7dCycnJ/To0QNDhw7NVXbLli2Ijo7GhQsXULp0abRt2xZ///230jMVxPFjR7FkUSCGjRyFnbt/gb29A0YMG1QkdfSlmFF5ijNn9XKGOHLvFSbtv4/phx9AQ02CuW3soa3x749sbQ01/PnPW/x840Wexwh/mYg+W28oLMfDXyHm3Qc8ik1SKDv18AOFcn+9Tlb6NeXg/VYeZlQeMeRkRuURQ05mVF0fd5AU91JSsUEqEjm9lJaWlqhVqxamTp2KAwcO4NixYwgODpaXMzQ0hFQqRfny5dG4cWOsX78eM2bMgL+/PyIiIuTlzp07h3r16kFbWxsWFhaYMmWKvGGbkJCA33//HQsXLoSnpycqVKiAevXqwc/PD+3bt1f6tenp6UEqlcLKygqurq5YuHAh1q1bhw0bNuDUqVMKZU1MTCCVSlGtWjWsWbMGKSkpOHnypNIzFcS2kC3o/F03dOzUBbZ2dpg+czZ0dHSwf99eQfLkhRmVpzhz+h99iFMPX+NpfAoi36Tgx7C/UdZQG3Zl/u25PHDnJXbfjMaDl4l5HiMjS4b4lHT58i41A642pjgZ8TpX2fcfMhTKZmbJlH5NOXi/lYcZlUcMOZlRecSQkxnpW8IGqYg1bdoULi4ueQ5v/di4ceMgk8lw4MABAMDz58/RunVr1K1bF7du3cKaNWuwadMmzJ07FwBgYGAAAwMD7N+/H6mpqUV+HXnx8fGBqanpZ69NV1cXAJCWllZcseTS09IQfv8eXN0ayNepqanB1bUBbt+6Uex58sKMyiN0zpzhuIkfMvIp+Wn1K5jAUFsDJyNic22b4VUZof1qYlF7R9SvYPLF58iP0PVYUGLIyYzKI4aczKg8YsjJjKqNPaTKxwapyDk4OCAqKuqzZUqVKoWyZcvKywUFBcHa2hqrV6+Gg4MDOnbsiNmzZ2Pp0qXIysqChoYGgoODERISAhMTE7i7u2Pq1Km4XYzPBaipqaFKlSqfvLbk5GRMnz4d6urqaNKkSZ5lUlNT8e7dO4VFWQ3s+IR4ZGZmwszMTGG9mZkZXr/O3QMlBGZUHiFzSgAMbVAB96Lf40l8yhcfp6VDGfz57C3iktLl6z5kZGHDxadYcOovzDr2EPdj3mO6V+Uia5TyfisPMyqPGHIyo/KIIScz0reGDVKRk8lkBfrG5ONy4eHhcHNzU9jP3d0diYmJePbsGYDsZ0hfvHiBgwcPwtvbG2FhYahVq5bC8OCilte19ezZEwYGBjA0NMTevXuxadMmODs757l/YGAgjI2NFZbFCwOLIzqR0oxoWAEVSuli4em/vvgYZvqaqGVljF8fKPaOvvuQgf13YhDxKgmPYpMQ/McznH0Uh84uFl8bm4iIiKhA+NoXkQsPD0fFihU/WyYuLg6xsbH5lvsvHR0dtGjRAi1atMCMGTMwePBgzJw5E/379893X0NDQ7x9+zbX+oSEBBgbG+e7f2ZmJh49eoS6desqrF+2bBmaN28OY2NjlClT5rPH8PPzw8SJExXWydS18z13QZiamEJdXT3Xg/txcXEoXbq0Us7xtZhReYTKOdy9AupVMIHvwXCFns3CamFfBu9TM3DlSUK+ZSNeJaKmpdEXn+tzeL+VhxmVRww5mVF5xJCTGVVbCR45Kxj2kIrYmTNncOfOHXTp0uWz5VasWAE1NTX561YcHR1x6dIlyGT/Tlxy4cIFGBoawsrK6pPHcXJyQlJS0ie3f8ze3h7Xr19XWJeZmYlbt26hSpUq+e4fEhKC+Pj4XNcmlUphZ2eXb2MUyJ4IysjISGHR1lZOg1RTSwuOTlVx5fIl+bqsrCxcuXIJzi41lXKOr8WMyiNEzuHuFeBW0RRTDz3Ay/df95x0C/vSOPPwdYEmK6pkpoc3yV/e+P0c3m/lYUblEUNOZlQeMeRkRvrWsIdUJFJTUxETE4PMzEy8fPkSx48fR2BgINq2bYt+/frJy71//x4xMTFIT09HZGQktm/fjo0bNyIwMBB2dnYAgJEjR2L58uUYM2YMRo8ejYiICMycORMTJ06Empoa4uLi0LVrVwwcOBDOzs4wNDTEtWvXsGjRInTo0KFAeSdOnIhBgwbBwcEBLVq0QFJSElatWoX4+HgMHjxYoWxycjJiYmKQkZGBZ8+e4ZdffsGyZcswYsQIeHp6Kq8SlayvzwDMmOqLqlWroVp1Z2zfFoKUlBR07NRZ6GhyzKg8xZlzZMMKaGJnhoATj5CSngVTXU0AQFJaBtIysxuVprqaMNXThMX/v5/UppQuUtKz8CoxFYmpmfJjuVgaQWqkgxMPck9m1KxKaWRkZuFxXPZrXhpUNEUL+zJY+Vuk0q8pB++38jCj8oghJzMqjxhyMqPqKsmTCwmFDVKROH78OCwsLKChoQFTU1O4uLhg5cqV8PHxgZravx3d/v7+8Pf3h5aWFqRSKVxdXXH69GmFhp2lpSWOHj2KyZMnw8XFBaVKlcKgQYMwffp0ANmz7NavXx/Lli3D48ePkZ6eDmtrawwZMgRTp04tUN6ePXtCJpPhxx9/xJQpU6Cnp4fatWvjt99+g7m5uULZDRs2YMOGDdDS0oKZmRlq166NXbt2oVOnTkqouaLj3ao14t+8QdDqlXj9Ohb2Do4IWrcRZio0VIUZlac4c7apmv1vZGF7R4X1y87+jVMPsyeLaOVUFr3rWMq3LerglKsMALS0L4P7Me/xLOFDnufqUdsSZQ20kJklw7OED1h46i9ciIxX6vV8jPdbeZhRecSQkxmVRww5mZG+VmBgIPbt24cHDx5AV1cXDRo0wMKFC2Fvby8v4+HhgXPnzinsN2zYMKxdu1b++enTpxgxYgTOnj0LAwMD+Pj4IDAwEBoa/zYjw8LCMHHiRNy7dw/W1taYPn16gR7xyyGRfTxuk6iE+4q3ZhAVmS6b/hA6Qr72DqondAQiIvpG6Khwl1nN2WcEO/eNmU0LXNbb2xs9evRA3bp1kZGRgalTp+Lu3bu4f/8+9PWz32vu4eGBKlWqYM6cOfL99PT0YGSUPZdEZmYmatSoAalUisWLFyM6Ohr9+vXDkCFDMH/+fABAZGQkqlWrhuHDh2Pw4ME4ffo0xo8fjyNHjsDLy6tAWVX4dhMREREREakOIUfspqam5nqFoba2dp5zpBw/flzhc3BwMMqWLYvr16+jcePG8vV6enqQSqV5nu/XX3/F/fv3cerUKZibm6NGjRoICAiAr68vZs2aBS0tLaxduxYVK1bE0qVLAWTPVXP+/HksW7aswA1STmpEhRYaGgoDA4M8l6pVqwodj4iIiIioxMnrlYaBgQV7pWHO2y9KlSqlsD40NBSlS5dGtWrV4Ofnh+TkZPm2S5cuoXr16gqP23l5eeHdu3e4d++evEzz5s0Vjunl5YVLly6hoNhDSoXWvn171K9fP89tmpqaxZyGiIiIiKh4CDmpUV6vNCzIGySysrIwfvx4uLu7o1q1avL1vXr1QoUKFVCuXDncvn0bvr6+iIiIwL59+wAAMTExueZ+yfkcExPz2TLv3r1DSkoKdHV1883HBikVmqGhIQwNDYWOQURERET0zfjU8Nz8jBo1Cnfv3sX58+cV1g8dOlT+5+rVq8PCwgLNmjXD48ePYWtr+9V5C4pDdomIiIiIiEqg0aNH4/Dhwzh79iysrKw+WzZnBORff/0FAJBKpXj58qVCmZzPOc+dfqqMkZFRgXpHATZIiYiIiIiICkQiEW4pDJlMhtGjR+OXX37BmTNnULFixXz3uXnzJgDAwsICAODm5oY7d+7g1atX8jInT56EkZERnJyc5GVOnz6tcJyTJ0/Czc2twFnZICUiIiIiIipBRo0ahe3bt2PHjh0wNDRETEwMYmJikJKSAgB4/PgxAgICcP36dURFReHgwYPo168fGjduDGdnZwBAy5Yt4eTkhL59++LWrVs4ceIEpk+fjlGjRsmHDg8fPhx///03fvjhBzx48ABBQUH4+eefMWHChAJnZYOUiIiIiIioACQSiWBLYaxZswZv376Fh4cHLCws5MuuXbsAAFpaWjh16hRatmwJBwcHTJo0CV26dMGhQ4fkx1BXV8fhw4ehrq4ONzc39OnTB/369VN4b2nFihVx5MgRnDx5Ei4uLli6dCk2btxY4Fe+AJzUiIiIiIiIqESRyWSf3W5tbY1z587le5wKFSrg6NGjny3j4eGBGzduFCrfx9ggJSIiIiIiKgAB3/pSYnHILhEREREREQmCDVIiIiIiIiISBIfsEhERERERFUBhJxei/LGHlIiIiIiIiATBHlIiIiIiIqICYAep8rFBSkQksL2D6gkdgUh0svJ5pYGqyMhU/ZxaGhwwR0TC4U8gIiIiIiIiEgR7SImIiIiIiAqAkxopH3tIiYiIiIiISBDsISUiIiIiIioAdpAqH3tIiYiIiIiISBDsISUiIiIiIioAPkOqfOwhJSIiIiIiIkGwQUpERERERESC4JBdIiIiIiKiAuCIXeVjDykREREREREJgj2kREREREREBcBJjZSPPaREREREREQkCDZIiYiIiIiISBBskBYDDw8PjB8/XugYXy04OBgmJiZffZywsDBIJBIkJCR89bGIiIiIiIqLRCIRbCmp2CBVov79++f5l2fRokUICAgQOt5X6969Ox4+fFioffJqjDdo0ADR0dEwNjZWYjph7NwRilYtmqJuzero3aMr7ty+LXSkXFQ94/VrVzFm5HA092gIl6r2OHP6lNCRPknV6xJgRmUSQ05mLJyfd/6Ebp3ao2H92mhYvzb69e6O87//BgB4+zYBC+YHoGNbb7jWdkGr5p5YOH8u3r9/X+S5/rx+FRPGjECr5o1R18URYWcUfw6eOfUrRg8bhOaNXVHXxRERD8IVtr94/hx1XRzzXE79erzI839Mle7354ghJzPSt4INUiXz9vZGdHS0wlK7dm0YGhoKHQ1paWlfvG96ejp0dXVRtmzZr86hpaUFqVQq+m96jh87iiWLAjFs5Cjs3P0L7O0dMGLYIMTFxQkdTU4MGVNSkmFvbw+/6TOFjvJZYqhLZlQeMeRkxsIzl5pjzIRJCP15L0J37UG9eq6YMGYUHv/1CLGvXiH21StM+P4H7P7lEGbPC8TFC79jtv+0Is+VkpKCKvb2+MFvRp7bP6SkwKVmLYwePynP7eZSKY6d/k1hGTpiNPT09NCgYaOijK5A1e73p4ghJzOqLolEuKWkYoNUybS1tSGVShWWZs2aKfQS2tjYYP78+Rg4cCAMDQ1Rvnx5rF+/XuE4Fy9eRI0aNaCjo4M6depg//79kEgkuHnzprzM3bt30apVKxgYGMDc3Bx9+/bF69ev5ds9PDwwevRojB8/HqVLl4aXlxeA7KEGa9asQatWraCrq4tKlSphz5498v2ioqIgkUiwa9cuNGnSBDo6OggNDc01ZHfWrFmoUaMGtm3bBhsbGxgbG6NHjx7yb5P79++Pc+fOYcWKFfLe4qioqFxDdnOOe+LECTg6OsLAwEDesM+RkZGBsWPHwsTEBGZmZvD19YWPjw86duz4lXfsy20L2YLO33VDx05dYGtnh+kzZ0NHRwf79+0VLNN/iSFjw0ZNMHrcBDRr3kLoKJ8lhrpkRuURQ05mLLwmHk3RqHETVKhggwo2FTF63ATo6enh9q1bsKtcBUuXr0ITj6awLl8e9eq7YvTYCfgt7CwyMjKKNJd7w8YYMXo8PJvl/XOwdbsOGDJ8FOrVb5DndnV1dZQuXUZhCTtzGs1bekNPT78ooytQtfv9KWLIyYz0LWGDVCBLly5FnTp1cOPGDYwcORIjRoxAREQEAODdu3do164dqlevjj///BMBAQHw9fVV2D8hIQFNmzZFzZo1ce3aNRw/fhwvX75Et27dFMqFhIRAS0sLFy5cwNq1a+XrZ8yYgS5duuDWrVvo3bs3evTogfBwxSFAU6ZMwbhx4xAeHi5vzP7X48ePsX//fhw+fBiHDx/GuXPnsGDBAgDAihUr4ObmhiFDhsh7i62trfM8TnJyMpYsWYJt27bht99+w9OnT/H999/Lty9cuBChoaHYsmULLly4gHfv3mH//v0Fq+wikJ6WhvD79+Dq9u8vB2pqanB1bYDbt24IlutjYsgoFmKoS2ZUHjHkZMavl5mZieNHjyAlJRnONWrkWeb9+/fQNzCAhoa43pIXfv8eHkaEo32n74rtnKp+v3OIISczqjY+Q6p84voJKwKHDx+GgYGB/HOrVq3yLNe6dWuMHDkSAODr64tly5bh7NmzsLe3x44dOyCRSLBhwwbo6OjAyckJz58/x5AhQ+T7r169GjVr1sT8+fPl6zZv3gxra2s8fPgQVapUAQBUrlwZixYtynX+rl27YvDgwQCAgIAAnDx5EqtWrUJQUJC8zPjx49G5c+fPXm9WVhaCg4PlQ5L79u2L06dPY968eTA2NoaWlhb09PQglUo/e5z09HSsXbsWtra2AIDRo0djzpw58u2rVq2Cn58fOnXqJL/+o0ePfvaYqampSE1NVVgnU9eGtrb2Z/criPiEeGRmZsLMzExhvZmZGSIj//7q4yuDGDKKhRjqkhmVRww5mfHLPXoYAZ/ePZGWlgpdPT0sXbEatrZ2ucrFx8djw7o16PJdtzyOotoO/LIHFSvZwqVGzWI7p6re7/8SQ05mpG8Ne0iVzNPTEzdv3pQvK1euzLOcs7Oz/M8SiQRSqRSvXr0CAERERMDZ2Rk6OjryMvXq1VPY/9atWzh79iwMDAzki4ODA4DsXssctWvXzvP8bm5uuT7/t4e0Tp06+V0ubGxsFJ6PtbCwkF9HYejp6ckbo/89ztu3b/Hy5UuFOlBXV//kteUIDAyEsbGxwrJ4YWChsxERUclhU7Eidu79BVt37ELXbj3gP20KHj/+S6FMYmIixo4chkq2thg2crRASb/Mhw8fcOLYEbTv2EXoKEREBcIeUiXT19eHnV3ub1r/S1NTU+GzRCJBVlZWgc+TmJiIdu3aYeHChbm2WVhYKOT5UgXZ92uv43PHkclkhT7Ox/z8/DBx4kSFdTL1r+8dBQBTE1Ooq6vnenA/Li4OpUuXVso5vpYYMoqFGOqSGZVHDDmZ8ctpamqhfPkKAACnqtVw795d/LR9K6bPzB6Vk5SUiFHDBkNPXx8/rlid6/8nVXfm5Al8SPmANu06FOt5VfV+/5cYcjKjaivBI2cFwx5SFWRvb487d+4oDDe9evWqQplatWrh3r17sLGxgZ2dncJSkIbk5cuXc312dHRUzgV8REtLC5mZmV91DGNjY5ibmyvUQWZmJv7888/P7qetrQ0jIyOFRRnDdQFAU0sLjk5VceXyJfm6rKwsXLlyCc4uxTdE6nPEkFEsxFCXzKg8YsjJjMojy8qSz0KfmJiIEUMHQVNTE8tXBSnt/4zidGD/XjT28IRpqVLFel6x3G8x5GRG+tawh1QF9erVC9OmTcPQoUMxZcoUPH36FEuWLAEA+QPNo0aNwoYNG9CzZ0/88MMPKFWqFP766y/s3LkTGzduhLq6+mfPsXv3btSpUwcNGzZEaGgo/vjjD2zatEnp12JjY4MrV64gKioKBgYGKPWF/0GOGTMGgYGBsLOzg4ODA1atWoX4+HhBH/Du6zMAM6b6omrVaqhW3Rnbt4UgJSUFHTt9/rnb4iSGjMlJSXj69Kn88/Nnz/AgPBzGxsawKFdOwGSKxFCXzKg8YsjJjIW3ctlSuDdqDAsLCyQlJeHYkcO4dvUPBK3biMTERIwcOggfUlIwb8ViJCUlIikpEQBgaloq3/9Xv0ZychL++ejn4IvnzxDxIPvnoNSiHN6+TUBMdDRex2Y/yvIkKhIAYFa6NEqXLiPf75+nT3Dj+jUs/9+6Isv6Oap2vz9FDDmZUXWV5MmFhMIGqQoyMjLCoUOHMGLECNSoUQPVq1eHv78/evXqJX+utFy5crhw4QJ8fX3RsmVLpKamokKFCvD29oaaWv4d37Nnz8bOnTsxcuRIWFhY4KeffoKTk5PSr+X777+Hj48PnJyckJKSgsjIyC86jq+vL2JiYtCvXz+oq6tj6NCh8PLyKtJfEPLj3ao14t+8QdDqlXj9Ohb2Do4IWrcRZio0VEUMGe/du4vBA/rJPy9ZlP2cb/sOnRAwf4FQsXIRQ10yo/KIISczFt6bN28wY6ovXsfGwsDQEJWr2CNo3Ua4NnDHtT+u4M7tWwCA9q1bKux35MQplLO0KrJc4ffuYfhgH/nnZUuyH8dp074jZgUE4rews5jjP1W+fZpv9vtIhwwfhaEj/n3G9eD+fShrLoWrm3uRZf0cVbvfnyKGnMxI3xKJ7Gsf1KNiERoaigEDBuDt27fQ1dX9qmNJJBL88ssvgr7D82tlZWXB0dER3bp1Q0BAQIH3+1C0r5IjIqJikiWSX18yMlU/p5YGn+Ai1aKjwl1mTVdeyr9QETkz1i3/QiKkwrf727Z161ZUqlQJlpaWuHXrFnx9fdGtW7evboyK1ZMnT/Drr7+iSZMmSE1NxerVqxEZGYlevXoJHY2IiIiIvhEcsat8bJCqqJiYGPj7+yMmJgYWFhbo2rUr5s2bJ3QswaipqSE4OBjff/89ZDIZqlWrhlOnThXJRExERERERFQ8OGSXvikcsktEVDJwyK7ycMguqRpVHrLbYvXl/AsVkZOjXQU7d1HiTyAiIiIiIiIShAp//0BERERERKQ6+Ayp8rGHlIiIiIiIiATBBikREREREREJgkN2iYiIiIiICkDCMbtKxx5SIiIiIiIiEgR7SImIiIiIiApAjR2kSsceUiIiIiIiIhIEG6REREREREQkCA7ZJSIiIiIiKgBOaqR87CElIiIiIiIiQbCHlIiIiIiIqADYQap8bJASEVGJkJKWKXSEAtHVUhc6QomgJpLfCrU0xJGTiEgobJASEREREREVgAT8kknZ+AwpERERERERCYINUiIiIiIiIhIEh+wSEREREREVgBpH7Code0iJiIiIiIhIEOwhJSIiIiIiKgCJSGb4FhP2kBIREREREZEg2CAlIiIiIiIiQXDILhERERERUQFwxK7ysYeUiIiIiIiIBMEeUiIiIiIiogJQYxep0rGHlIiIiIiIiATBHlIiIiIiIqICYAep8rGHlIiIiIiIiATBBil9lf79+0MikWD48OG5to0aNQoSiQT9+/eXl+3YsSOA7JcKf26ZNWsWoqKiIJFIoK6ujufPnyscOzo6GhoaGpBIJIiKiiriq/y0nTtC0apFU9StWR29e3TFndu3BcvyKcyoPGLIyYyfd+P6NUwaNxJtWzSBa00nnDt7SmF7cnISliyYi3ZenmjiWhM9OrfFvt075dvfvk3AkgVz0a1jazRxrYkOrZpi6cJ5SHz/vtiu4WO838ojhpzMqDxiyMmM9K1gg5S+mrW1NXbu3ImUlBT5ug8fPmDHjh0oX758nvtER0fLl+XLl8PIyEhh3ffffy8va2lpia1btyrsHxISAktLy6K5oAI6fuwoliwKxLCRo7Bz9y+wt3fAiGGDEBcXJ2iujzGj8oghJzPmLyUlGZWr2ON7vxl5bl+xdBEuX/wds+YtxE/7DqNH735YunAefgs7AwB4HRuL17GxGDNhMkJ3H8CM2fNx+eJ5zJud9/GKktB1WRBiyAiIIyczKo8YcjKj6sqvU6Uol5KKDVL6arVq1YK1tTX27dsnX7dv3z6UL18eNWvWzHMfqVQqX4yNjSGRSBTWGRgYyMv6+Phgy5YtCvtv2bIFPj4+RXNBBbQtZAs6f9cNHTt1ga2dHabPnA0dHR3s37dX0FwfY0blEUNOZsxfg4aNMXzUOHg0bZ7n9ju3bqB1246oXaceypWzRMcu3WBXxR73790BANjaVcaCpSvQqIknrKzLo049VwwfPQ7nfzuLjIyMYrmGHELXZUGIISMgjpzMqDxiyMmM9C1hg5SUYuDAgQqNxs2bN2PAgAFKOXb79u0RHx+P8+fPAwDOnz+P+Ph4tGvXTinH/xLpaWkIv38Prm4N5OvU1NTg6toAt2/dECzXx5hRecSQkxmVo7pLTfx+7ixevXoJmUyG61ev4J8nUajv6v7JfRLfJ0Jf3wAaGsU3T6AY6lIMGQFx5GRG5RFDTmZUbRKJcEtJxQYpKUWfPn1w/vx5PHnyBE+ePMGFCxfQp08fpRxbU1MTffr0webNmwFkN3b79OkDTU1NpRz/S8QnxCMzMxNmZmYK683MzPD69WuBUiliRuURQ05mVI5JvtNQsZIt2nt5omE9F4wfNRTfT5mBmrXr5Fk+IT4eWzasQYcuXYs1pxjqUgwZAXHkZEblEUNOZqRvDV/7QkpRpkwZtGnTBsHBwZDJZGjTpg1Kly6ttOMPHDgQDRo0wPz587F7925cunQp3+FxqampSE1NVVgnU9eGtra20nIRUcmye+d23L1zC4uX/w9Si3K4+ec1LFkQgNJlyqCeawOFskmJiZg4djhsKtliyLBRAiUmIiISt6/uIc3MzMTNmzcRHx+vjDwkYgMHDkRwcDBCQkIwcOBApR67evXqcHBwQM+ePeHo6Ihq1arlu09gYCCMjY0VlsULA5WSx9TEFOrq6rke3I+Li1NqQ/xrMKPyiCEnM369Dx8+YM2q5Rg3yReNmniichV7dO3RG81atsKObcEKZZOSkjB+1FDo6elj4Y+roFHMIzZUvS4BcWQExJGTGZVHDDmZUbWpSSSCLSVVoRuk48ePx6ZNmwBkN0abNGkin9QmLCxM2flIRLy9vZGWlob09HR4eXkp/fgDBw5EWFhYgRu7fn5+ePv2rcIy2ddPKVk0tbTg6FQVVy5fkq/LysrClSuX4OyS90ROxY0ZlUcMOZnx62VmZCAjIyPXTIbq6mrIysqSf05KTMS4EYOhoamJJcv/J8ioC1WvS0AcGQFx5GRG5RFDTmakb02hh+zu2bNH/mzgoUOHEBkZiQcPHmDbtm2YNm0aLly4oPSQJA7q6uoIDw+X/1nZhgwZgq5du8LExKRA5bW1cw/P/aDESTD7+gzAjKm+qFq1GqpVd8b2bSFISUlBx06dlXeSr8SMyiOGnMyYv+TkJDz756n884vnz/EwIhxGRsaQWpRDzdp1sXr5Emjr6MDCohz+vH4Vxw4fxNiJvgCyG6NjRw7Ghw8fMGveQiQlJSIpKREAYGJaqkh+9n2K0HVZEGLICIgjJzMqjxhyMqPqKrn9lMIpdIP09evXkEqlAICjR4+ia9euqFKlCgYOHIgVK1YoPSCJi5GRUZEdW0NDQ6WGgXi3ao34N28QtHolXr+Ohb2DI4LWbYQZMxaKGDIC4sjJjPkLv38Po4b0l39esXQhAKB1u47wnzMfcxcsQdCqZZg19Qe8e/cWUotyGDZqHDp37Q4AePDgPu7dyX7x+3ftvRWOve/ISZQrV3zvRxa6LgtCDBkBceRkRuURQ05mpG+JRCaTyQqzQ4UKFbBhwwY0a9YMFStWxJo1a9CmTRvcu3cPDRs25LOkpNKU2UNKRKolJS1T6AgFoqtVfL2oRERipKPC0672CBHutTY7fUrmcOhCP0M6YMAAdOvWDdWqVYNEIkHz5tkvF79y5QocHByUHpCIiIiIiEgVSCQSwZbCCAwMRN26dWFoaIiyZcuiY8eOiIiIUCjz4cMHjBo1CmZmZjAwMECXLl3w8uVLhTJPnz5FmzZtoKenh7Jly2Ly5Mm53nQRFhaGWrVqQVtbG3Z2dggODi5U1kI3SGfNmoWNGzdi6NChuHDhgvwZPXV1dUyZMqWwhyMiIiIiIiIlOnfuHEaNGoXLly/j5MmTSE9PR8uWLZGUlCQvM2HCBBw6dAi7d+/GuXPn8OLFC3Tu/O8zwJmZmWjTpg3S0tJw8eJFhISEIDg4GP7+/vIykZGRaNOmDTw9PXHz5k2MHz8egwcPxokTJwqctdBDdrdu3Yru3bvnmiwmLS0NO3fuRL9+/QpzOKJixSG7RCUXh+wSEZUMqjxkt/e2m4KdO7RvjS/eNzY2FmXLlsW5c+fQuHFjvH37FmXKlMGOHTvw3XffAQAePHgAR0dHXLp0Ca6urjh27Bjatm2LFy9ewNzcHACwdu1a+Pr6IjY2FlpaWvD19cWRI0dw9+5d+bl69OiBhIQEHD9+vEDZvmjI7tu3b3Otf//+PQYMGFDYwxEREREREVE+UlNT8e7dO4UlNTW1QPvmtN9KlSoFALh+/TrS09Plj18CgIODA8qXL49Ll7Jf53Pp0iVUr15d3hgFAC8vL7x79w737t2Tl/n4GDllco5REIVukMpksjzHMD979gzGxsaFPRwREREREZEoCPkMaWBgIIyNjRWWwMDAfDNnZWVh/PjxcHd3R7Vq1QAAMTEx0NLSyvU6RXNzc8TExMjLfNwYzdmes+1zZd69e4eUlJQC1WmBO8Rr1qwpr4xmzZpBQ+PfXTMzMxEZGQlvb+/PHIGIiIiIiIi+hJ+fHyZOnKiw7r+PUeZl1KhRuHv3Ls6fP19U0b5KgRukHTt2BADcvHkTXl5eMDAwkG/T0tKCjY0NunTpovSARERERERE3zptbe0CNUA/Nnr0aBw+fBi//fYbrKys5OulUinS0tKQkJCg0Ev68uVLSKVSeZk//vhD4Xg5s/B+XOa/M/O+fPkSRkZG0NXVLVDGAjdIZ86cCQCwsbFB9+7doaOjU9BdiYiIiIiIRK+Qb18RjEwmw5gxY/DLL78gLCwMFStWVNheu3ZtaGpq4vTp0/JOxYiICDx9+hRubm4AADc3N8ybNw+vXr1C2bJlAQAnT56EkZERnJyc5GWOHj2qcOyTJ0/Kj1EQhZ5ll0jMOMsuUcnFWXaJiEoGVZ5lt2/oLcHOva23S4HLjhw5Ejt27MCBAwdgb28vX29sbCzvuRwxYgSOHj2K4OBgGBkZYcyYMQCAixcvAsh+LLNGjRooV64cFi1ahJiYGPTt2xeDBw/G/PnzAWS/9qVatWoYNWoUBg4ciDNnzmDs2LE4cuQIvLy8CpS10A3SzMxMLFu2DD///DOePn2KtLQ0he1v3rwpzOGIihUbpEQlFxukREQlgyo3SPvtuC3Yubf2ci5w2bwmoQWALVu2oH///gCADx8+YNKkSfjpp5+QmpoKLy8vBAUFyYfjAsCTJ08wYsQIhIWFQV9fHz4+PliwYIHCfEJhYWGYMGEC7t+/DysrK8yYMUN+jgJlLWyD1N/fHxs3bsSkSZMwffp0TJs2DVFRUdi/fz/8/f0xduzYwhyOqFixQUpUcrFBSkRUMrBBmrfCNEjFpNCvfQkNDcWGDRswadIkaGhooGfPnti4cSP8/f1x+fLloshIREREREREJVChG6QxMTGoXr06AMDAwED+ktW2bdviyJEjyk1HRERERESkItQkwi0lVaEbpFZWVoiOjgYA2Nra4tdffwUAXL16tdDTEBMREREREdG3q9AN0k6dOuH06dMAgDFjxmDGjBmoXLky+vXrh4EDByo9IBERERERkSqQSCSCLSXVV7/25dKlS7h06RIqV66Mdu3aKSsXUZHgpEZEJDTTuqOFjpCv+KurhY5ARN8wVZ7UaMDOO4Kde0uP6oKduyh99e12c3Mr1ItPiYiIiIiIxKjk9lMKp9BDdgFg27ZtcHd3R7ly5fDkyRMAwPLly3HgwAGlhiMiIiIiIqKSq9AN0jVr1mDixIlo3bo1EhISkJmZ/d43ExMTLF++XNn5iIiIiIiIqIQqdIN01apV2LBhA6ZNmwZ19X9f7l2nTh3cuSPcmGoiIiIiIqKipCaRCLaUVIVukEZGRqJmzZq51mtrayMpKUkpoYiIiIiIiKjkK3SDtGLFirh582au9cePH4ejo6MyMhEREREREakciUS4paQq9Cy7EydOxKhRo/DhwwfIZDL88ccf+OmnnxAYGIiNGzcWRUYiIiIiIiIqgQrdIB08eDB0dXUxffp0JCcno1evXihXrhxWrFiBHj16FEVGIiIiIiIiKoEK1SDNyMjAjh074OXlhd69eyM5ORmJiYkoW7ZsUeUjIiIiIiJSCZKSPHZWIIV6hlRDQwPDhw/Hhw8fAAB6enpsjBIREREREdEXKfSkRvXq1cONGzeKIgsREREREZHK4qRGylfoZ0hHjhyJSZMm4dmzZ6hduzb09fUVtjs7OystHBEREREREZVchW6Q5kxcNHbsWPk6iUQCmUwGiUSCzMxM5aUjIiIiIiJSEWoluatSIIVukEZGRhZFDqJCCwsLg6enJ+Lj42FiYiJ0HCIiIiIiKqRCP0NaoUKFzy4kTv3794dEIsGCBQsU1u/fv5+zieXh+rWrGDNyOJp7NIRLVXucOX1K6EiftHNHKFq1aIq6Naujd4+uuHP7ttCR5DZtWIde3brArW5NeDRyw/gxIxEV+bfQsT5JlesyBzMqT3HlHNK1If7Y5YeXvy/Gy98XIyxkElq6OymUqe9cEcfWjcHri0vx8vfFOLlpPHS0NeXbdy8fhodH5yD+8jL8/es8bAroB4syxgrHqFa5HE5tGo/4y8vw6FgAJvo0L5Lr+S+x3G8A2LRhPVyq2mNR4DyhoyjIzMzE6pXL0aplU9Sr5Yw23s2xbs3/IJPJhI6Wi1jutxhyMiN9KwrdIAWAR48eYf369Zg7dy7mzJmjsJB46ejoYOHChYiPj1faMdPS0pR2LFWSkpIMe3t7+E2fKXSUzzp+7CiWLArEsJGjsHP3L7C3d8CIYYMQFxcndDQAwLWrf6B7z97Y9tPPWLdhCzIyMjB8yCAkJycLHS0XVa9LgBmVqThzPn+ZgBmrDqBB70Vw770YYX88xO5lQ+FYSQoguzF6YPVInL78AI36LEbDPouxduc5ZGX92xj57epD9PHdDJdOc9Br8kZUsi6NHYsHybcb6uvgUNBoPI1+gwa9FmLq8v2YNqw1BnZ2V/r1fEws9xsA7t65jT27d6JKFXuho+SyZdMG7N71E/ym+eOXQ0cxfsL3CN68ETtCtwkdTYFY7rcYcjKj6uKkRspX6Abphg0b4OjoCH9/f+zZswe//PKLfNm/f38RRKTi0rx5c0ilUgQGBn6yzN69e1G1alVoa2vDxsYGS5cuVdhuY2ODgIAA9OvXD0ZGRhg6dCiCg4NhYmKCw4cPw97eHnp6evjuu++QnJyMkJAQ2NjYwNTUFGPHjlV4Bnnbtm2oU6cODA0NIZVK0atXL7x69arIrr8wGjZqgtHjJqBZ8xZCR/msbSFb0Pm7bujYqQts7ewwfeZs6OjoYP++vUJHAwCsWb8JHTp1hp1dZdg7OGDOvAWIjn6B8Pv3hI6Wi6rXJcCMylScOY/+dhcnzt/H46ex+OvpK8z63yEkJqeinnNFAMCiSZ0RtDMMS7acRPjfMXj05BX2nryBtPQM+TFWhZ7FH3ei8DQ6HpdvRWLJlpOoV90GGhrZ/833aF0HWprqGDYrFOF/x2D3iesI2hmGsX08lX49HxPL/U5OSoKf72TMnD0XRsbG+e9QzG7evAGPps3QuIkHLC2t0MLLG24NGuLuHdXqjRLL/RZDTmakb0mhG6Rz587FvHnzEBMTg5s3b+LGjRvy5c8//yyKjFRM1NXVMX/+fKxatQrPnj3Ltf369evo1q0bevTogTt37mDWrFmYMWMGgoODFcotWbIELi4uuHHjBmbMmAEASE5OxsqVK7Fz504cP34cYWFh6NSpE44ePYqjR49i27ZtWLduHfbs2SM/Tnp6OgICAnDr1i3s378fUVFR6N+/f1FWQYmSnpaG8Pv34OrWQL5OTU0Nrq4NcPuWar66KfH9ewBQuV8IxVCXzKg8QuZUU5Ogq1dt6Otq4crtSJQxNUA954qIfZOIs8ETEXVqPn7dOA4NalT65DFMjfTQo1UdXL4ViYyMLADZvawX/vwL6Rn/ful38mI47CtKYWKoWyTXIpb7DQDz585B48ZNFLKqkho1auKPy5cRFZU9j0fEgwe4ceM6GjZqLHCyf4nlfoshJzOqNolEIthSUhV6UqP4+Hh07dq1KLKQCujUqRNq1KiBmTNnYtOmTQrbfvzxRzRr1kzeyKxSpQru37+PxYsXKzQUmzZtikmTJsk///7770hPT8eaNWtga2sLAPjuu++wbds2vHz5EgYGBnBycoKnpyfOnj2L7t27AwAGDhwoP0alSpWwcuVK1K1bF4mJiTAwMCiqKigx4hPikZmZCTMzM4X1ZmZmiFTB5zSzsrKwaOF81KhZC5UrVxE6jgIx1CUzKo8QOavalUNYyCToaGkgMSUV3SdtwIO/Y1Cvug0AYNqw1vBb9gtuRzxD77b1cHTdGNTuOh+Pn8bKjzF3bAcM79EY+rrauHI7Ep3HrpVvMzczQtRzxWF0r95kfwFkXtoICe9TlH5NYrnfx44eQXj4fezYtSf/wgIZOHgoEhMT0bFtK6irqyMzMxNjxk1Am7bthY4mJ5b7LYaczEjfmkL3kHbt2hW//vprUWQhFbFw4UKEhIQgPDxcYX14eDjc3RWfN3J3d8ejR48UhtrWqVMn1zH19PTkjVEAMDc3h42NjULD0tzcXGFI7vXr19GuXTuUL18ehoaGaNKkCQDg6dOnBbqO1NRUvHv3TmFJTU0t0L5U/ObPnY3Hjx5h0ZJlQkchKnYPo16ifo9ANO63BBt2n8eGOX3hUEkKNbXsb8Q37T2PbQcv41bEM/ywdB8eRr2CTwc3hWMs23oKrj0Wos3w1cjMzMLGgL5CXIqoxERHY9GCeQhcuBja2tpCx/mkE8eP4eiRQwhctBQ7d+9DwPwFCNmyGQf3/yJ0NCKir1agHtKVK1fK/2xnZ4cZM2bg8uXLqF69OjQ1NRXKfvx+UhKnxo0bw8vLC35+fl80RFZfXz/Xuv/+PZFIJHmuy8rKHl6WlJQELy8veHl5ITQ0FGXKlMHTp0/h5eVV4ImSAgMDMXv2bIV102bMxHT/WYW4GvEyNTGFurp6rskF4uLiULp0aYFS5W3+3Dn47VwYNodsh7lUKnScXMRQl8yoPELkTM/IxN//vAYA3Aj/B7Wrlseonh5YsuUkACD87xiF8hGRMbCWmirmS0hCXEIS/nr6ChGRMfjrxFzUd66IK7cj8TLuHczNDBXKly2V/fnl63dFck1iuN/379/Dm7g49OjaWb4uMzMT169dxc6fQnH1xh2oq6sLmDDbsqWLMHDQULRq3QYAULmKPaJfvMCmjevQvmMngdNlE8P9BsSRkxlV2xfNCEufVaA6XbZsmXxZv349DAwMcO7cOaxevVph2/Lly4s4LhWXBQsW4NChQ7h06ZJ8naOjIy5cuKBQ7sKFC6hSpYrS/8N+8OAB4uLisGDBAjRq1AgODg6FntDIz88Pb9++VVgm+/opNacq09TSgqNTVVy5/O89zMrKwpUrl+DsUlPAZP+SyWSYP3cOzpw+iQ2bQ2BlZS10pDyJoS6ZUXlUIaeaRAJtLQ08eRGHF68SUMWmrMJ2uwpl8TT6zaf3//+eVS3N7O+dr9yOhHstO/kkRwDQzNUBEZExRTJcF1CNesxPfVdX7Nl/CLv27pcvVatWQ+u27bBr736VaIwCwIeUD/J7mkNdXV1hpmWhieF+A+LIyYz0rSlQD2lkZGRR5yAVU716dfTu3Vuhd3zSpEmoW7cuAgIC0L17d1y6dAmrV69GUFCQ0s9fvnx5aGlpYdWqVRg+fDju3r2LgICAQh1DW1s71xCsDxmfKFxIyUlJCkOHnz97hgfh4TA2NoZFuXLKOYkS9PUZgBlTfVG1ajVUq+6M7dtCkJKSgo6dOue/czGYHzAbx44exvJVQdDX08fr2Ozn4QwMDaGjoyNwOkWqXpcAMypTceacM6Y9Tly4h3+i42Gor4PureqgcZ3KaDcy+2frspBTmD68De48fI5bEc/Qp1192NuYo9fk7Of861argNpVK+DijcdIeJ+MilZlMHNkGzx+Gosrt7P//9517BqmDm2NtTN7Y+mWk6hqVw6jennghyX7lH49H1P1+62vb5DrmXVdPT2YGJuo1LPsTTw8sWH9WkgtysHWzg4PwsOxLWQLOnTqInQ0Bap+v3OIISczqq6SPLmQUAo9qdGcOXPw/fffQ09PT2F9SkoKFi9eDH9/f6WFI2HNmTMHu3btkn+uVasWfv75Z/j7+yMgIAAWFhaYM2dOkcx8W6ZMGQQHB2Pq1KlYuXIlatWqhSVLlqB9e9WYwOHevbsYPKCf/POSRdmvymnfoRMC5i8QKlYu3q1aI/7NGwStXonXr2Nh7+CIoHUbYaYiw2l+3vUTAGBQf8Vn3ebMDUQHFfsPTdXrEmBGZSrOnGVKGWBTQD9ISxvhbeIH3H30HO1GBuHMlQcAgNU7wqCjrYlFk7rA1FgPdx4+R9sRqxH5LHuIb/KHdHRo6oLpw9tAX1cLMa/f4teL4Vi4YbP81TDvEj+g3cjVWD6lGy7u8EVcQiIC1x/D5n0XPplLGcRyv1XdlGnT8b+VKzA/YDbevIlDmbJl8V3X7hg2YpTQ0RSI5X6LIScz0rfk/9i776gorgYK4HcB6R1UUFGkFwF7wd4iGI3YosaoKPZesBA1drH3HhWwJCYaCzHGhmJBxYoVFVuwoCCCSG/7/cHnxhVU0IHZxfvzzDnszJuZOzMr7Nv35o1EKpUWqb+HqqoqYmJiUK6cfPeh+Ph4lCtXTm5wGyJFI1QLKRHR5zKqM1zsCJ+UcGGV2BGI6CumWeQms5Izet9t0fa9rIODaPsuTkW+L1cqlRbYVH316lUYGxsLEoqIiIiIiIhKv0J//2BkZCR7KKudnZ1cpTQnJwfJyckYPHhwsYQkIiIiIiKi0qfQFdJly5ZBKpWiX79+mDFjBgwMDGTL1NXVYWlpiQYNGnxkC0RERERERMpLhWMaCa7QFdI+ffoAAKpWrYqGDRtCTU2BO3cTERERERGRwityrbJp06bFkYOIiIiIiEih8bEvwivyoEZEREREREREQmCFlIiIiIiIiETBG0GJiIiIiIgKgYMaCY8tpERERERERCSKQrWQdurUqdAb3L1792eHISIiIiIiUlQc00h4haqQvvvMUSIiIiIiIiIhFKpCGhAQUNw5iIiIiIiIFJoKm0gFx3tIiYiIiIiISBSfNcrurl278McffyA6OhqZmZlyyy5fvixIMCIiIiIiIirditxCumLFCvTt2xfly5fHlStXULduXZiYmODBgwfw9PQsjoxERERERESiUxFxKq2K3EK6Zs0abNiwAT169EBgYCAmTJgAKysr/Pzzz3j16lVxZCT66vwe8VjsCJ/UrbqF2BGIlFLChVViR/iktMwcsSN8kpa6qtgRiIhIAEWubEdHR8Pd3R0AoKWlhTdv3gAAevXqhd9++03YdERERERERApCIhFvKq2KXCE1MzOTtYRWrlwZ586dAwA8fPgQUqlU2HRERERERERUahW5QtqiRQsEBwcDAPr27YsxY8agdevW6NatGzp27Ch4QCIiIiIiIiqdinwP6YYNG5CbmwsAGDZsGExMTHDmzBl89913GDRokOABiYiIiIiIFAGfQyq8IldIVVRUoKLyX8Nq9+7d0b17d0FDERERERERUen3WSMInzp1Cj/++CMaNGiAp0+fAgC2bt2K06dPCxqOiIiIiIhIUXBQI+EVuUL6559/ok2bNtDS0sKVK1eQkZEBAHj9+jXmzp0reEAiIiIiIiIqnYpcIZ09ezbWrVuHX375BWXKlJHNb9iwIS5fvixoOCIiIiIiIkWhIhFvKq2KXCG9c+cOmjRpkm++gYEBEhMThchEREREREREX4HPeg7pvXv38s0/ffo0rKysBAlFREREREREpV+RR9kdMGAARo0ahc2bN0MikeDZs2c4e/YsfH19MXXq1OLISEREREREJDo+9kV4Ra6QTpo0Cbm5uWjZsiVSU1PRpEkTaGhowNfXFyNGjCiOjERERERERFQKFblCKpFIMHnyZIwfPx737t1DcnIynJycoKuri7S0NGhpaRVHTiIiIiIiIlGxgVR4n/UcUgBQV1eHk5MT6tatizJlymDJkiWoWrWqkNmIPqpZs2YYPXq02DGIiIiIiOgzFbpCmpGRAT8/P9SuXRvu7u7Yu3cvACAgIABVq1bF0qVLMWbMmOLKSYXg7e0NiUQCiUQCdXV12NjYYObMmcjOzhY7Wqm149ft8GzdAnVquKBn9664fu1asewnOvIa/lg0BSuGdcPcnq1w52KY3PKTfwZhnW9fLOzXDksGeOHXuePx9F5kgdvKzsrERr9BmNuzFV48kh+gLDb6AbbMHI353p5YOaIHzv71e7Ecz/tK6jx+KWXIyYzCUYacYma8cukixo0ainatm6J+DSecOH5UbvnMn39C/RpOctPoYQPlykT/+wjjRw9Dm+buaNGoDgb2/RGXLoSX2DG8i9dbGMqQEVCOnMxIX4tCV0h//vlnrF27FpaWlnj06BG6du2KgQMHYunSpViyZAkePXqEiRMnFmdWKgQPDw/ExMQgKioK48aNw/Tp07Fw4UKxY302qVSqsBXqg/8cwKIF/hg0dBh27NwDe3sHDBnkg/j4eMH3lZWRjnKVrdDGu+D7tE3MKqGN93D0n7cBvaYtg0FZM+yYNxEpSYn5yh777RfoGZnkm5+RmoLf5k2EgWl59Ju9Fi1+GIhTu7fgyrH9Qh+OnJI8j19CGXIyo3CUIafYGdPSUmFrZw9fvw8PaFjfvRH+PnJCNs30l/97NG7kEOTk5GDV+gAEbt8JWzt7jBs5FPEv44o7vhyxz2VhMKNwlCEnMyouPodUeIWukO7cuRNbtmzBrl27cPjwYeTk5CA7OxtXr15F9+7doaqqWpw5qZA0NDRgZmaGKlWqYMiQIWjVqhWCg4OxZMkSuLi4QEdHBxYWFhg6dCiSk5Nl6/37779o3749jIyMoKOjA2dnZxw4cAAAkJCQgJ49e6Js2bLQ0tKCra0tAgICAABdunTB8OHDZdsZPXo0JBIJbt++DQDIzMyEjo4Ojh7N++Y8IyMDI0eORLly5aCpqYlGjRrhwoULsvVDQ0MhkUjwzz//oFatWtDQ0MDp06eRkpKC3r17Q1dXF+bm5li8eHGxn8tP2RoUgE5dvodXx86wtrHBlGkzoKmpib27/xR8X9bV66LZ9/1gX6dRgcudG7ZE1Wq1YFSuAspWskSrnoORkZaK2OgHcuXuR5zHw+uX0OKHQfm2ceNMCHKys9FuoC/KVrKEc4PmqNPGC+EHhD+ed5XkefwSypCTGYWjDDnFzujeqAkGDxuFZi1afbCMuro6TEzLyiZ9fQPZssSEBDyO/he9+/aHrZ09KlexxNCRY5Genob796JK4hBkxD6XhcGMwlGGnMxIX5NCV0ifPHmCWrVqAQCqVasGDQ0NjBkzBhLe2avQtLS0kJmZCRUVFaxYsQI3b95EUFAQjh07hgkTJsjKDRs2DBkZGTh58iSuX7+O+fPnQ1dXFwAwdepU3Lp1C//88w8iIyOxdu1amJqaAgCaNm2K0NBQ2XZOnDgBU1NT2bwLFy4gKysL7u7uAIAJEybgzz//RFBQEC5fvgwbGxu0adMGr169kss9adIkzJs3D5GRkXB1dcX48eNx4sQJ7Nu3D4cPH0ZoaCguX75cjGfu47IyMxF56ybqN3CXzVNRUUH9+u64dvWKaLkAICc7C1eO/w0NbR2Ur2Itm5/8OgEHNi7Bd0MmooyGRr71nkbdQmUHF6iqlZHNq+pSB69iHiMt5U2xZFXk8/guZcjJjMJRhpzKkBEALl+8AM8WjfC9V1vMnzMDrxMTZcsMDA1RxbIqDuwPRlpaKrKzs7H3z99hZGwCByfnEsuoDOeSGYWjDDmZUbFJRPxXWhV6lN2cnByoq6v/t6KamqzCQopHKpUiJCQEhw4dwogRI+QG/7G0tMTs2bMxePBgrFmzBgAQHR2Nzp07w8XFBQBgZWUlKx8dHY0aNWqgdu3asvXfatasGUaNGoW4uDioqanh1q1bmDp1KkJDQzF48GCEhoaiTp060NbWRkpKCtauXYvAwEB4enoCAH755RccOXIEmzZtwvjx42XbnTlzJlq3bg0ASE5OxqZNm7Bt2za0bNkSABAUFIRKlSoJf+IKKSExATk5OTAxke/6amJigocPH3xgreIVdfkc9q6ajazMDOgaGqPHpPnQ1strjZBKpdi/bgFqtGwHcyt7JMY9z7d+SmICDMqZyc3TMTD6/7JX0NLREzyzIp7HgihDTmYUjjLkVIaMDdwboVmLVqhQsRKePonG2pXLMGb4IPwS9CtUVVUhkUiwct0mTBgzAi0a1oGKigqMjIyxbPV6uZbU4qYM55IZhaMMOZmRvjaFrpBKpVJ4e3tD4/8tK+np6Rg8eDB0dHTkyu3evVvYhFQk+/fvh66uLrKyspCbm4sffvgB06dPx9GjR+Hv74/bt28jKSkJ2dnZSE9PR2pqKrS1tTFy5EgMGTIEhw8fRqtWrdC5c2e4uroCAIYMGYLOnTvj8uXL+Oabb+Dl5SVr8axWrRqMjY1x4sQJqKuro0aNGmjXrh1Wr14NIK/FtFmzZgCA+/fvIysrCw0bNpTlLVOmDOrWrYvISPkBeN5Wft+ul5mZiXr16snmGRsbw97e/qPnIiMjAxkZGXLzpKoasvdwaVPFyQ0+c9cj7c1rRBw/gD0rZ8N7xkroGBjh4qG9yExPhXuHHmLHJKKvRGuPtrKfbWztYGNrj87t2+DyxfOoU68BpFIpFvrPgpGxMdZt3goNDU0E79kF31HDELDtD5iWLStieiIiKimF7rLbp08flCtXDgYGBjAwMMCPP/6IChUqyF6/nUhczZs3R0REBKKiopCWloagoCDExcWhXbt2cHV1xZ9//olLly7JKoyZmZkAgP79++PBgwfo1asXrl+/jtq1a2PlypUAAE9PT/z7778YM2YMnj17hpYtW8LX1xdA3nNpmzRpgtDQUFnl09XVFRkZGbhx4wbOnDmDpk2bFvk43v+i43P4+/vne38unO//xdsFACNDI6iqqua7cT8+Pl7WnbmkqWtqwdisIiraOuHbgb5QUVHF1dB/AAD/3rqCp1GRmN/HE/69vsHasb0BAJunDsVf6+YDAHQMjZD6OkFumyn/f61jaFwsmRXxPBZEGXIyo3CUIacyZHxfxUoWMDQ0wpPH0QCAi+fPIezUCcyetxhu1WvCwdEJE376GRoaGjjw194Sy6UM55IZhaMMOZlRsXFQI+EVukIaEBBQqInEpaOjAxsbG1SuXBlqankN4JcuXUJubi4WL16M+vXrw87ODs+ePcu3roWFBQYPHozdu3dj3Lhx+OWXX2TLypYtiz59+mDbtm1YtmwZNmzYIFv29j7S0NBQNGvWDCoqKmjSpAkWLlyIjIwMWYuotbU11NXVERb23yNLsrKycOHCBTg5OX3wmKytrVGmTBmEh//3KICEhATcvXv3o+fCz88Pr1+/lpvGT/T7xBksnDLq6nB0ckb4ubOyebm5uQgPPwtXtxqC7ONLSaW5yM7OAgC07j0MPv7r4TM3b+o2fi4AoOOIKWjatR8AoKKtE6JvX0fOO6MaP7pxCcbmFsXSXRdQjvMIKEdOZhSOMuRUhozvi33xHK9fJ8LENK/lMz09HQAgee9TloqKCnKluSWWSxnOJTMKRxlyMiN9bQrdZZeUl42NDbKysrBy5Uq0b98eYWFhWLdunVyZ0aNHw9PTE3Z2dkhISMDx48fh6OgIIO+RP7Vq1YKzszMyMjKwf/9+2TIg7z7SMWPGQF1dHY0aNZLN8/X1RZ06dWStnTo6OhgyZAjGjx8PY2NjVK5cGQsWLEBqaip8fHw+mF9XVxc+Pj4YP348TExMUK5cOUyePBkqKh//PkVDI3/33HQBnyDTq09fTP1pIpydq6Gaiyu2bQ1CWloavDp2Em4n/5eZnoaE509lr1/HxeDFo3vQ1NWDlq4+zuz7FbY1G0DX0ASpya9x6cg+vEl4Ccd6ea3TBqbl5banrqkFADAqVwH6JnkfDp3dW+D07q34+5dFaNC+O+IeP8SFQ3vQ6sfBgh/Pu0ryPH4JZcjJjMJRhpxiZ0xNTZG1dgLAs6dPcfdOJPT1DaBvYIBN69egectvYGxqiqePo7Fq+WJUsqiM+u55fydcXKtDT18fM6f+BJ+BQ6ChqYl9u3fi2dMnaNio6D1rvoTY57IwmFE4ypCTGRVXaW6pFAsrpF8BNzc3LFmyBPPnz4efnx+aNGkCf39/9O7dW1YmJycHw4YNw5MnT6Cvrw8PDw8sXboUQN6w/X5+fnj06BG0tLTQuHFj7NixQ7aui4sLDA0NYWdnJxvoqlmzZsjJyZHdP/rWvHnzkJubi169euHNmzeoXbs2Dh06BCMjo48ew8KFC5GcnIz27dtDT08P48aNw+vXrwU6Q5/Hw7MtEl69wppVK/DyZRzsHRyxZv1GmBRDV5WYB3ewfY6v7PXRbXlfKLg0/gae/Ubj5bPHuHbqMNLeJEFLVx/mVnboNXUpylayLPQ+NLV10WPSfBwMXIHNU4ZAW9cAjTr+iBot2gl9OHJK8jx+CWXIyYzCUYacYmeMvHUTwwZ4y14vX5zX/b9tey9M+Oln3Iu6iwN/7cObN0kwLVsO9Ro0xMChI2QDJBoaGWHZqg1Yt3o5hg3qi+zsbFhZ2WDB0lWwtXcokWN4S+xzWRjMKBxlyMmM9DWRSKVSqdghiEqKkC2kxen3iMdiR/ikbtUtxI5ARMUkLTNH7AifpKXO558TlVaaCtxktjBUvFGExzez+nQhJVToe0iJiIiIiIiIhMQKKREREREREYlCgRvEiYiIiIiIFAcHNRIeW0iJiIiIiIhKkZMnT6J9+/aoUKECJBIJ9u7dK7fc29sbEolEbvLw8JAr8+rVK/Ts2RP6+vowNDSEj48PkpOT5cpcu3YNjRs3hqamJiwsLLBgwYIiZ2WFlIiIiIiIqBAkEvGmokhJSYGbmxtWr179wTIeHh6IiYmRTb/99pvc8p49e+LmzZs4cuQI9u/fj5MnT2LgwIGy5UlJSfjmm29QpUoVXLp0CQsXLsT06dOxYcOGImVll10iIiIiIqJSxNPTE56enh8to6GhATMzswKXRUZG4uDBg7hw4QJq164NAFi5ciXatm2LRYsWoUKFCti+fTsyMzOxefNmqKurw9nZGREREViyZIlcxfVT2EJKRERERESk4DIyMpCUlCQ3ZWRkfPb2QkNDUa5cOdjb22PIkCGIj4+XLTt79iwMDQ1llVEAaNWqFVRUVBAeHi4r06RJE9nzpQGgTZs2uHPnDhISEgqdgxVSIiIiIiKiQlCRSESb/P39YWBgIDf5+/t/1nF4eHhgy5YtCAkJwfz583HixAl4enoiJyfvOdTPnz9HuXLl5NZRU1ODsbExnj9/LitTvnx5uTJvX78tUxjssktERERERKTg/Pz8MHbsWLl5Ghoan7Wt7t27y352cXGBq6srrK2tERoaipYtW35RzqJihZSIiIiIiKgQxHzsi4aGxmdXQD/FysoKpqamuHfvHlq2bAkzMzPExsbKlcnOzsarV69k952amZnhxYsXcmXevv7QvakFYZddIiIiIiKir9iTJ08QHx8Pc3NzAECDBg2QmJiIS5cuycocO3YMubm5qFevnqzMyZMnkZWVJStz5MgR2Nvbw8jIqND7ZoWUiIiIiIioEJTlsS/JycmIiIhAREQEAODhw4eIiIhAdHQ0kpOTMX78eJw7dw6PHj1CSEgIOnToABsbG7Rp0wYA4OjoCA8PDwwYMADnz59HWFgYhg8fju7du6NChQoAgB9++AHq6urw8fHBzZs38fvvv2P58uX5uhV/CiukREREREREpcjFixdRo0YN1KhRAwAwduxY1KhRAz///DNUVVVx7do1fPfdd7Czs4OPjw9q1aqFU6dOyXUJ3r59OxwcHNCyZUu0bdsWjRo1knvGqIGBAQ4fPoyHDx+iVq1aGDduHH7++eciPfIFACRSqVQqzGETKb70bLETFM7vEY/FjvBJ3apbiB2BiIpJWmaO2BE+SUtdVewIRFRMNBV4lJuVYQ9F2/eIhlVF23dxUuDLTUREREREpDhUIOKoRqUUK6RECoitj0QkJmVofdx8/pHYEQqld60qYkf4JDVVfsAmIvGwQkpERERERFQIRR1ciD6NgxoRERERERGRKFghJSIiIiIiIlGwyy4REREREVEhqLDLruDYQkpERERERESiYAspERERERFRIahwVCPBsYWUiIiIiIiIRMEWUiIiIiIiokJgA6nw2EJKREREREREomCFlIiIiIiIiETBLrtERERERESFwEGNhMcWUiIiIiIiIhIFW0iJiIiIiIgKgQ2kwmMLKREREREREYmCFVIqcd7e3vDy8hI7hiB2/Lodnq1boE4NF/Ts3hXXr10TO1I+zCgcZcjJjMJRhpzMKO/pnesIXvYzNo7pgeV92+D+5TMfLBsStBzL+7bBlcO75eYHL5+GTeN+xKoB7fDL6B44tGEBkhPiC9xG4ounWDPEC2uHdhL0ONp5tEAtV4d807w5M/Hs6ZMCl9VydcCRwwcFzfE5lOE9CShHTmakrwUrpALw9vaGRCKBRCKBuro6bGxsMHPmTGRnZ3/RNotaaTtx4gRatGgBY2NjaGtrw9bWFn369EFmZuZn5ygOy5cvR2BgoNgxvtjBfw5g0QJ/DBo6DDt27oG9vQOGDPJBfHzBH1zEwIzCUYaczCgcZcjJjPllZaTD1MIKzX4c/tFy9y6F4fn929AxNMm3rJKDG9oOnYze/pvw7bApeB37DAdWz8pXLic7G/+sm4cKttUEy//W1l934dCxU7JpzYbNAIBW37RBeTNzuWWHjp3CoKEjoK2tjYaNGguepSiU4T0JKEdOZlRcKiJOpVVpPrYS5eHhgZiYGERFRWHcuHGYPn06Fi5cWOTt5OTkIDc3t8jr3bp1Cx4eHqhduzZOnjyJ69evY+XKlVBXV0dOTk6Rt1ecDAwMYGhoKHaML7Y1KACdunwPr46dYW1jgynTZkBTUxN7d/8pdjQZZhSOMuRkRuEoQ05mzM/StQ7cO3vDplbDD5ZJTniJE9vXwGPQRKio5h9Ko2abTjC3doS+aXlUsHVG7W+7IebBbeS89yXz2d2BMDa3gF3dJoIfh5GxMUxNy8qmUydCUcmiMmrVrgtVVVW5ZaamZRF67Chat/GEtraO4FmKQhnek4By5GRG+pqwQioQDQ0NmJmZoUqVKhgyZAhatWqF4OBgJCQkoHfv3jAyMoK2tjY8PT0RFRUlWy8wMBCGhoYIDg6Gk5MTNDQ00K9fPwQFBWHfvn2yltfQ0NCP7v/w4cMwMzPDggULUK1aNVhbW8PDwwO//PILtLS0ZOXCwsLQrFkzaGtrw8jICG3atEFCQgIA4ODBg2jUqBEMDQ1hYmKCdu3a4f79+7J1Hz16BIlEgt27d6N58+bQ1taGm5sbzp49m+94Dh06BEdHR+jq6soq62+93/rbrFkzjBw5EhMmTICxsTHMzMwwffp0ueO7ffs2GjVqBE1NTTg5OeHo0aOQSCTYu3dvEa6ScLIyMxF56ybqN3CXzVNRUUH9+u64dvWKKJnex4zCUYaczCgcZcjJjJ9HmpuLQxsWoKZHF5hUtPxk+fTkJNw+ewzmNk5QVfuv8vr4VgSiLp5Cs17DijFtnqysTBz4OxgdvDpBUsBoKpG3buDO7Uh06Ni52LN8jCJe74IoQ05mVGxvP5uLMZVWrJAWEy0tLWRmZsLb2xsXL15EcHAwzp49C6lUirZt2yIrK0tWNjU1FfPnz8fGjRtx8+ZNrFixAt9//72sIhcTEwN3d/eP7A0wMzNDTEwMTp48+cEyERERaNmyJZycnHD27FmcPn0a7du3l7WgpqSkYOzYsbh48SJCQkKgoqKCjh075muxnTx5Mnx9fREREQE7Ozv06NFDrntyamoqFi1ahK1bt+LkyZOIjo6Gr6/vR/MHBQVBR0cH4eHhWLBgAWbOnIkjR44AyGs19vLygra2NsLDw7FhwwZMnjz5o9srbgmJCcjJyYGJiXx3LxMTE7x8+VKkVPKYUTjKkJMZhaMMOZnx81w88AdUVFVRvbXXR8ud/mMjVg/6DutHdMWbV3FoP3K6bFlachIOb1qEb3x8oaFV/C2Sx4+FIPnNG7Tv0LHA5Xt3/4mqVtZwq16z2LN8jCJe74IoQ05mpK8NH/siMKlUipCQEBw6dAienp7Yu3cvwsLCZBXK7du3w8LCAnv37kXXrl0BAFlZWVizZg3c3Nxk29HS0kJGRgbMzMwKtd+uXbvi0KFDaNq0KczMzFC/fn20bNkSvXv3hr6+PgBgwYIFqF27NtasWSNbz9nZWfZz587y365u3rwZZcuWxa1bt1Ct2n/3yPj6+uLbb78FAMyYMQPOzs64d+8eHBwcZMezbt06WFtbAwCGDx+OmTNnfjS/q6srpk2bBgCwtbXFqlWrEBISgtatW+PIkSO4f/8+QkNDZedjzpw5aN269Ue3mZGRgYyMDLl5UlUNaGhofHQ9IiIqfV48ikLEkb3oMX31J1saanl2hXMTDyTFv0D4vu04/MtCfDd6JiQSCUIClsG+fnNUtHcpkdz79uyCe8PGKFuufL5l6enpOPjPfvQfOKREshARUHrbKcXDFlKB7N+/H7q6utDU1ISnpye6desGb29vqKmpoV69erJyJiYmsLe3R2RkpGyeuro6XF1dv2j/qqqqCAgIwJMnT7BgwQJUrFgRc+fOhbOzs6y77NsW0g+JiopCjx49YGVlBX19fVhaWgIAoqOj5cq9m9Xc3BwAEBsbK5unra0tq4y+LfPu8oK8f/zvrnPnzh1YWFjIVc7r1q370e0BgL+/PwwMDOSmhfP9P7leYRgZGkFVVTXfjfvx8fEwNTUVZB9fihmFoww5mVE4ypCTGYvu2d3rSH2TiM2+P2KFjydW+HjiTfwLnNrxCzb79pYrq6VnACOzSqjiXAueg/3w6Np5PL+f93f7cWQELh/cJdvG0c1LkZmWghU+nrh58pCgmWOePcX5c2fh1blrgctDjhxCelo62rX3EnS/n0PRrveHKENOZqSvDSukAmnevDkiIiIQFRWFtLQ0BAUFFbqvt5aWlmD9witWrIhevXph1apVuHnzJtLT07Fu3TrZfj6mffv2ePXqFX755ReEh4cjPDwcAPKN0lumTBnZz29zv9ut993lb8tIpdKP7rugdT5ncKd3+fn54fXr13LT+Il+X7TNt8qoq8PRyRnh5/67fzY3Nxfh4Wfh6lZDkH18KWYUjjLkZEbhKENOZiw6B/dW6DlzHX6YsVY26RiaoKZnF3QcN+eD6739+5WTnXerTbcpy+S2Ub9jL6hrauOHGWthXevjt9cUVfDe3TAyNkGjxk0LXL5vzy40bdYcRsbGgu73cyja9f4QZcjJjPS1YZddgejo6MDGxkZunqOjI7KzsxEeHi7rshsfH487d+7Aycnpo9sTYnRcIyMjmJubIyUlBUBeK2RISAhmzJiRr+zbXL/88gsaN84bNv706dNftH+h2Nvb4/Hjx3jx4gXKl8/rsnThwoVPrqehkb97bvrnP4knn159+mLqTxPh7FwN1VxcsW1rENLS0uDVUdjn0X0JZhSOMuRkRuEoQ05mzC8zPQ2vY5/JXr+Oe4646PvQ0NGDvkk5aOnqy5VXUVWDjoERjMwtAADP79/Gi4d3UMGuGjS0dfE6NgZn9wTBoJw5zKwdAQDGFSrLbSP20V1AIoFpJUtBjyU3NxfB+/ag3XdeUFPL/3HtcfS/uHzpIlas3iDofr+EMrwnAeXIyYyKS6UUDy4kFlZIi5GtrS06dOiAAQMGYP369dDT08OkSZNQsWJFdOjQ4aPrWlpa4tChQ7hz5w5MTExgYGCQrxXxXevXr0dERAQ6duwIa2trpKenY8uWLbh58yZWrlwJIK/F0MXFBUOHDsXgwYOhrq6O48ePo2vXrjA2NoaJiQk2bNgAc3NzREdHY9KkSYKej8/VunVrWFtbo0+fPliwYAHevHmDKVOmAICoI455eLZFwqtXWLNqBV6+jIO9gyPWrN8IEwXqqsKMwlGGnMwoHGXIyYz5xT66iz/nT5C9PrVjPQDAsWFrfNP/44PrAYCaugbuXQrDub1bkZWRDh1DY1RxqY267SdDrYx6sWT+kPBzZ/A85hk6eBX84X7fnj9RrrwZ6rt/+BE3JU0Z3pOAcuRkRvqaSKSf6ktJn+Tt7Y3ExMQCH0GSkJCAUaNGITg4GJmZmWjSpAlWrlwJW1tbAHmPSRk9ejQSExPl1ouLi0PPnj1x9uxZJCcn4/jx42jWrNkHM1y5cgVLlixBWFgYnj17Bl1dXTg7O8PX1xft27eXlTtx4gR++uknXLp0CVpaWqhXrx527NgBQ0NDHD16FCNHjsSDBw9gb2+PFStWoFmzZtizZw+8vLzw6NEjVK1aFVeuXEH16tUBAImJiTAyMpLlK+h49u7di44dO8q6Pb1/vpo1a4bq1atj2bJlsnW8vLxgaGiIwMBAAHmPfenfvz8uXLgAKysrLFy4EO3bt8fBgwfRpk2bQl0nQNgWUiIiEs/m84/EjlAovWtVETvCJ6mpssWHFIumAjeZbb/0RLR996xVSbR9FydWSEkphYWFoVGjRrh3757cAEqfwgopEVHpwAqpcFghJUXDCmnBSmuFVIEvN9F/9uzZA11dXdja2uLevXsYNWoUGjZsWKTKKBERERERKRaOsqsk5s6dC11d3QInT09PseMVuzdv3mDYsGFwcHCAt7c36tSpg3379okdi4iIiIi+IhKJeFNpxS67SuLVq1d49epVgcu0tLRQsWLFEk6knNhll4iodGCXXeGwyy4pGkXusvvrZfG67P5Qk112SUTGxsYwVoDnjBERERERfa3EfMJDacUuu0RERERERCQKtpASEREREREVAlvzhMdzSkRERERERKJghZSIiIiIiIhEwS67REREREREhcBBjYTHFlIiIiIiIiISBVtIiYiIiIiICoHto8JjCykRERERERGJghVSIiIiIiIiEgW77BIRERERERUCBzUSHiuk9FV5FJcqdoRCsSyrLXYEIiKF1rtWFbEjFMqVfxPFjvBJdayMxI5ARF8xVkiJiIiIiIgKgfc7Co/nlIiIiIiIiETBFlIiIiIiIqJC4D2kwmMLKREREREREYmCFVIiIiIiIiISBbvsEhERERERFQI77AqPLaREREREREQkCraQEhERERERFQLHNBIeW0iJiIiIiIhIFKyQEhERERERkSjYZZeIiIiIiKgQVDiskeDYQkpERERERESiYAspERERERFRIXBQI+GxhZSIiIiIiIhEwQopERERERERiYIV0hLi7e0NiUQCiUSCMmXKoGrVqpgwYQLS09PFjkbv+S1gHTo0qyE3De3VUbY85uljzJ0yFr06NEf3to2wYPoEJL6Kl9vGm6TXWDz7J3Rv2wg/fNsYKxdMR1pqakkfCgBgx6/b4dm6BerUcEHP7l1x/do1UXIUJCcnB6tWLIPnNy1Qt6YrvvVohfVrV0MqlYodrUCKfC7fYkbhKENOZiyadh4tUMvVId80b85MAMDjx9EYN3o4WjZtgCYNamGi72jEx78s9lzpqSnY8ctSTOjnhSGdm8J//AA8vHtLrsyzxw+xcpYvRnRriaFdmmH2mL6Ij30OAEh+8xq/rl+EyYO/x5DOTTGhbwf8un4xUlOSiz37+xTpen+MMuRkRsUkEfFfacUKaQny8PBATEwMHjx4gKVLl2L9+vWYNm2a2LEUXmZmZonvs7KlNQL/PCKb5q3cDABIT0vD9PFDIZFIMGvpBsxbFYDsrCzM/mkUcnNzZesvmf0THj+8jxmL1mKK/wrcvHoZaxbPKvHjOPjPASxa4I9BQ4dhx849sLd3wJBBPoiPj//0yiUgYNMv2Pn7b/Cb/DP2/HUAo8f4InDzRvy6favY0fJR9HMJMKOQlCEnMxbd1l934dCxU7JpzYa83+2tvmmDtNRUDBvkA4lEgnW/BGJT0K/IysrCmBFD5H6/F4fAlXNx68p59B87DdNXboNTjbpYMnUEEuJjAQCxMU8wf+IgmFWqgvFz12D6ym1o170vyqirAwBev3qJxPiX6NpvBGas2o6+o6fi5uVzCFoxp1hzv0/RrveHKENOZqSvCSukJUhDQwNmZmawsLCAl5cXWrVqhSNHjgAA4uPj0aNHD1SsWBHa2tpwcXHBb7/9Jrd+s2bNMHLkSEyYMAHGxsYwMzPD9OnTZculUimmT5+OypUrQ0NDAxUqVMDIkSNlyxMSEtC7d28YGRlBW1sbnp6eiIqKki0PDAyEoaEh9u/fD3t7e2hra6NLly5ITU1FUFAQLC0tYWRkhJEjRyInJwcAsGrVKlSrVk22jb179+b9MV+3TjavVatWmDJlCgDg/v376NChA8qXLw9dXV3UqVMHR48elTtOS0tLzJo1C71794a+vj4GDhwIADh9+jQaN24MLS0tWFhYYOTIkUhJSfmSS/JBqqqqMDIxlU36hkYAgMgbEYh9/gyjJs2ApZUtLK1sMcpvJu7duYVrl88DAB7/+wCXz5/BsPE/w97JBU6uNTBw5EScOnYI8S9jiyXvh2wNCkCnLt/Dq2NnWNvYYMq0GdDU1MTe3X+WaI4PiYi4gmYtWqJJ02aoWLESWrfxQAP3RrhxXfG+YVX0cwkwo5CUISczFp2RsTFMTcvKplMnQlHJojJq1a6LiIjLiHn2FNNn+cPWzh62dvaYMXsebt28gQvnzxVbpsyMdFw+E4oufYfDrloNlK9ggQ4/DEBZ80oIPbAbALBn6zq41HJH174jUNnaHuXMK6F6vSbQNzQGAFSsYo2hP81D9bqNUc68EhzdaqNjr8G4ev40cnKyiy37+xTten+IMuRkRsUlkYg3lVaskIrkxo0bOHPmDNT//+1meno6atWqhb///hs3btzAwIED0atXL5w/f15uvaCgIOjo6CA8PBwLFizAzJkzZZXaP//8U9byGhUVhb1798LFxUW2rre3Ny5evIjg4GCcPXsWUqkUbdu2RVZWlqxMamoqVqxYgR07duDgwYMIDQ1Fx44dceDAARw4cABbt27F+vXrsWvXLgBA06ZNcevWLcTFxQEATpw4AVNTU4SGhgIAsrKycPbsWTRr1gwAkJycjLZt2yIkJARXrlyBh4cH2rdvj+joaLnjXLRoEdzc3HDlyhVMnToV9+/fh4eHBzp37oxr167h999/x+nTpzF8+HDhLso7nj2Nhnfn1hjYox0Wz/4JcS9i/n88mQAkKFNGXVZWXV0DEokKIq9HAADu3LwGHV092Do4y8q41aoHiUQFdyNvFEvegmRlZiLy1k3Ub+Aum6eiooL69d1x7eqVEsvxMdWr18D5c+fw6NFDAMCd27dx5colNGrcRORk8pThXDKjcJQhJzN+uaysTBz4OxgdvDpBIpEgKzMTEolE9ncZyPsiWUVFBRGXLxVbjtycHOTm5shaO99SV9dA1K2ryM3NxbWLZ1C+YmUs/XkUxvzoiTnj+uHK2RMf3W5qSjI0tXWgqloyD1RQ9Ov9ljLkZEb62rBCWoL2798PXV1daGpqwsXFBbGxsRg/fjwAoGLFivD19UX16tVhZWWFESNGwMPDA3/88YfcNlxdXTFt2jTY2tqid+/eqF27NkJCQgAA0dHRMDMzQ6tWrVC5cmXUrVsXAwYMAABERUUhODgYGzduROPGjeHm5obt27fj6dOn2Lt3r2z7WVlZWLt2LWrUqIEmTZqgS5cuOH36NDZt2gQnJye0a9cOzZs3x/HjxwEA1apVg7GxMU6cyPvDGBoainHjxslenz9/HllZWXB3z/uF5ebmhkGDBqFatWqwtbXFrFmzYG1tjeDgYLnjbNGiBcaNGwdra2tYW1vD398fPXv2xOjRo2Frawt3d3esWLECW7Zs+eB9uBkZGUhKSpKbMjMyPnmd7JyqYdSkmZi+YDUGj/kJL2Kewm9kP6SmpsDeyQWaWloIWr8cGelpSE9LQ8DaJcjNzUHCq7z7jBJexcPAyFhum6pqatDT10fiq+K/F+mthMQE5OTkwMTERG6+iYkJXr4suRwf06//QLTxbAuvdp6o5eaMbl288GOvPvi23XdiR5OjDOeSGYWjDDmZ8csdPxaC5Ddv0L5D3hgBLq7VoamlhRVLFyEtLQ1pqalYtng+cnJy8PJlXLHl0NTWgbWDC/7asRmJ8XHIzcnB2eP/4P6dG3idEI83rxOQkZaKf3ZtgXPN+hgzczlq1G+GNf6TcOf65QK3+eZ1Ivb/HoAmbToUW+73Kfr1fksZcjKjYlOBRLSptGKFtAQ1b94cERERCA8PR58+fdC3b1907twZQN7gLrNmzYKLiwuMjY2hq6uLQ4cO5Ws5dHV1lXttbm6O2Ni8bqBdu3ZFWloarKysMGDAAOzZswfZ2XlddSIjI6GmpoZ69erJ1jUxMYG9vT0iIyNl87S1tWFtbS17Xb58eVhaWkJXV1du3tt9SiQSNGnSBKGhoUhMTMStW7cwdOhQZGRk4Pbt2zhx4gTq1KkDbW1tAHktpL6+vnB0dIShoSF0dXURGRmZ7zhr164t9/rq1asIDAyErq6ubGrTpg1yc3Px8OHDAs+3v78/DAwM5KYNKxd96PLI1KrXCA2btYaltR1q1nXHz/NWISU5GWHHD8PA0BgTpi/AhbMn0c2zIXp82xgpycmwtnOEpDT3pSgmhw7+gwN//wX/BYuxY+duzJo7D0EBmxG8d4/Y0YiolNu3ZxfcGzZG2XLlAeR1552/aBlOnjiOxvVromnDOnjz5g0cHJ0gkRTvxyWfsdMAKeDr3R6DOzVByF87UbdJa0gkEkj/f/9q9XpN8I1XD1S2skPbrr3hWqchThzM/7syLTUFK2aORQULS3z3w4BizU1EJISS6cdBAAAdHR3Y2NgAADZv3gw3Nzds2rQJPj4+WLhwIZYvX45ly5bBxcUFOjo6GD16dL4BfcqUKSP3WiKRyAZbsLCwwJ07d3D06FEcOXIEQ4cOxcKFC2WtlYVR0PY/tk8g797WDRs24NSpU6hRowb09fVlldQTJ06gadOmsrK+vr44cuQIFi1aBBsbG2hpaaFLly75jlNHR0fudXJyMgYNGiR3T+xblStXLvBY/Pz8MHbsWLl5j17lfOToC6arp4cKlSoj5uljAECNOg2w/te/kJSYABVVNejq6aFPx1Zo1KINAMDI2ASvE17JbSMnOxtvkpJgaGxa5P1/LiNDI6iqquYbXCA+Ph6mpiWX42OWLl6Afj4D4dn2WwCArZ09Yp49w6aN6/GdV8dPrF1ylOFcMqNwlCEnM36ZmGdPcf7cWSxculJufgP3Rgg+cAQJCQlQU1WFnr4+vmneCJUqWRRrnnLmlTBh3lpkpKchLTUFhsamWDd/MsqaVYSuviFUVVVRobKl3DrmFpaIunVVbl56agqWTRsNTS1tDJs8H2pqJfcxT5Gv97uUIScz0teGLaQiUVFRwU8//YQpU6YgLS0NYWFh6NChA3788Ue4ubnBysoKd+/eLfJ2tbS00L59e6xYsQKhoaE4e/Ysrl+/DkdHR2RnZyM8PFxWNj4+Hnfu3IGTk9MXHcvb+0h37twpu1e0WbNmOHr0KMLCwmTzACAsLAze3t7o2LEjXFxcYGZmhkePHn1yHzVr1sStW7dgY2OTb1J/776btzQ0NKCvry83qWtoFPn40lJT8fzZExiZyP+C1Tc0gq6eHq5dPo/Xia9Q1z2v4m3v7IqU5De4d+e/IfuvXbkAqTQXdo7VUFLKqKvD0ckZ4efOyubl5uYiPPwsXN1qlFiOj0lPS4eKinzLsqqqKnJzFeuxL8pwLplROMqQkxm/TPDe3TAyNkGjxk0LXG5kZAQ9fX2cDz+HV6/i0aRZ8xLJpaGpBUNjU6QkJ+HmlXBUr9cEamXKwNLWCc+fyPckevH0MUzKmstep6WmYMnPo6CqpobhUxahjHrR/959CUW+3u9ShpzMqNg4qJHw2EIqoq5du2L8+PFYvXo1bG1tsWvXLpw5cwZGRkZYsmQJXrx4UaTKYmBgIHJyclCvXj1oa2tj27Zt0NLSQpUqVWBiYoIOHTpgwIABWL9+PfT09DBp0iRUrFgRHTp82T0mrq6uMDIywq+//or9+/cDyKuQ+vr6QiKRoGHDhrKytra22L17N9q3bw+JRIKpU6cWajj9iRMnon79+hg+fDj69+8PHR0d3Lp1C0eOHMGqVau+KP/7AtYsQR33JihbvgJexcfit4B1UFFRQZOWHgCAo//sg0XlqtA3NMKdm9ewcdVCfNe1Jyr9/9triypWqFnXHasXzcKQsZORk52NDcvnoXGLNjAxLSdo1k/p1acvpv40Ec7O1VDNxRXbtgYhLS0NXh07lWiOD2narDl+2bAOZuYVYG1jg9uRkdgaFIAOHTuLHS0fRT+XADMKSRlyMuPnyc3NRfC+PWj3nVe+FsTgvX+ialVrGBob4/rVCCyaPwc/9OoDy6pWxZrpxuVzgFSK8hWrIDbmMXYFrIJ5pSpo2KodAKBNp55Yv2AK7KpVh71LLdy8fA5Xz5/G+LmrAeRVRpf+PBIZGenoP2460tNSkJ6WNwq9nr4hVFRVizX/W4p4vQuiDDmZkb4mrJCKSE1NDcOHD8eCBQtw5coVPHjwAG3atIG2tjYGDhwILy8vvH79utDbMzQ0xLx58zB27Fjk5OTAxcUFf/31l+yG84CAAIwaNQrt2rVDZmYmmjRpggMHDuTrkltUEokEjRs3xt9//41GjRoByKuk6uvrw97eXq777ZIlS9CvXz+4u7vD1NQUEydORFJS0if34erqihMnTmDy5Mlo3LgxpFIprK2t0a1bty/KXpCXcS+waJYf3iS9hoGBERxdqmPBmi0w+P/w+k+jH2HrhpVIfvMa5cwqoOuPPviu649y2xg7ZS42LJ+HqWMHQUVFBQ2atMSAERMEz/opHp5tkfDqFdasWoGXL+Ng7+CINes3wkRButNMmjwFq1csx9xZM/DqVTzKliuHLl27YdCQYWJHy0fRzyXAjEJShpzM+HnCz53B85hn6OCV/0Pzo0ePsGr5Urx+/RoVKlZAvwGD0bOXd7FnSktJxu4ta5HwMhY6evqo6d4cHXsNllWYazZohl5DJ+LAziD8tmEpzCpWxhA/f9g6VwcA/Hv/Nh7cuQkA+GlgF7ltz9u4G6blKxT7MQCKeb0Logw5mVFxleaWSrFIpFKpYvWNIypGt2NSxY5QKJZltcWOQESk0LJzlOPjy5V/E8WO8El1rIzEjkAkR1OBm8wORxbfqNuf8o1jWdH2XZx4DykRERERERGJQoG/fyAiIiIiIlIcklL8PFCxsIWUiIiIiIiIRMEWUiIiIiIiokJQYQOp4NhCSkRERERERKJghZSIiIiIiKgQJCL+K4qTJ0+iffv2qFChAiQSCfbu3Su3XCqV4ueff4a5uTm0tLTQqlUrREVFyZV59eoVevbsCX19fRgaGsLHxwfJyclyZa5du4bGjRtDU1MTFhYWWLBgQZHPKSukREREREREpUhKSgrc3NywevXqApcvWLAAK1aswLp16xAeHg4dHR20adMG6enpsjI9e/bEzZs3ceTIEezfvx8nT57EwIEDZcuTkpLwzTffoEqVKrh06RIWLlyI6dOnY8OGDUXKyueQ0leFzyElIiod+BxS4fA5pKRoFPk5pMdux4u27xYOJp+1nkQiwZ49e+Dl5QUgr3W0QoUKGDduHHx9fQEAr1+/Rvny5REYGIju3bsjMjISTk5OuHDhAmrXrg0AOHjwINq2bYsnT56gQoUKWLt2LSZPnoznz59DXV0dADBp0iTs3bsXt2/fLnQ+tpASEREREREVgkQi3pSRkYGkpCS5KSMjo8jH8PDhQzx//hytWrWSzTMwMEC9evVw9uxZAMDZs2dhaGgoq4wCQKtWraCiooLw8HBZmSZNmsgqowDQpk0b3LlzBwkJCYXOwwopERERERGRgvP394eBgYHc5O/vX+TtPH/+HABQvnx5ufnly5eXLXv+/DnKlSsnt1xNTQ3GxsZyZQraxrv7KAwFbhAnIiIiIiJSHEUdXEhIfn5+GDt2rNw8DQ0NkdIIhxVSIiIiIiIiBaehoSFIBdTMzAwA8OLFC5ibm8vmv3jxAtWrV5eViY2NlVsvOzsbr169kq1vZmaGFy9eyJV5+/ptmcJgl10iIiIiIqKvRNWqVWFmZoaQkBDZvKSkJISHh6NBgwYAgAYNGiAxMRGXLl2SlTl27Bhyc3NRr149WZmTJ08iKytLVubIkSOwt7eHkVHhB0tjhZSIiIiIiKgQVCTiTUWRnJyMiIgIREREAMgbyCgiIgLR0dGQSCQYPXo0Zs+ejeDgYFy/fh29e/dGhQoVZCPxOjo6wsPDAwMGDMD58+cRFhaG4cOHo3v37qhQoQIA4IcffoC6ujp8fHxw8+ZN/P7771i+fHm+bsWfwse+0FclPVvsBERERIplxan7Ykf4pJGNrcWOQCVIkR/7cvLuK9H23cTOuNBlQ0ND0bx583zz+/Tpg8DAQEilUkybNg0bNmxAYmIiGjVqhDVr1sDOzk5W9tWrVxg+fDj++usvqKiooHPnzlixYgV0dXVlZa5du4Zhw4bhwoULMDU1xYgRIzBx4sQiHRcrpPRVYYWUiIhIHiukpGgUuUJ66m7hH2citMZ2pfOZweyyS0RERERERKJQ4O8fiIiIiIiIFIdEvKe+lFpsISUiIiIiIiJRsEJKREREREREomCXXSIiIiIiokJgj13hsYWUiIiIiIiIRMEWUiIiIiIiokJQ4ahGgmMLKREREREREYmCFVIiIiIiIiISBbvsEhERERERFQI77AqPLaREREREREQkCraQEhERERERFQabSAXHFlIiIiIiIiISBSukpVxgYCAMDQ2LtI63tze8vLyKJc9bjx49gkQiQURERLHuh4iIiIhIKBIR/5VWrJAWo7i4OAwZMgSVK1eGhoYGzMzM0KZNG4SFhcnKnDlzBm3btoWRkRE0NTXh4uKCJUuWICcnR25bEokEe/fuLXKGbt264e7du0VaZ/ny5QgMDCzyvj6koAquhYUFYmJiUK1aNcH2I4Ydv26HZ+sWqFPDBT27d8X1a9fEjpQPMwpHGXIyo3CUISczCkfRc166eAEjhg5Gq2aN4OZsj2MhR4t1fzFR13F49XT8NvFHbBrcFo8izsgtPxm4BJsGt5WbDq6YWuC2crKysGf2cGwa3Bbxj+/LLZNKpbh++E/s/Lk/AoZ/h98m9kLEgR3FdlxvKfr1BpiRvh6skBajzp0748qVKwgKCsLdu3cRHByMZs2aIT4+HgCwZ88eNG3aFJUqVcLx48dx+/ZtjBo1CrNnz0b37t0hlUq/OIOWlhbKlStXpHUMDAyK3KpaVKqqqjAzM4OamvLexnzwnwNYtMAfg4YOw46de2Bv74Ahg3xk11cRMKNwlCEnMwpHGXIyo3CUIWdaWirs7e3hN2VaiewvOyMdxpWqokH3oR8sU8m5FnrM3yabmvtMKLDc+d2boG1gXOCyc3+sx52wQ6jbuT+6TN+A1kN/RllLO0GO4UOU4XozI31NWCEtJomJiTh16hTmz5+P5s2bo0qVKqhbty78/Pzw3XffISUlBQMGDMB3332HDRs2oHr16rC0tET//v0RFBSEXbt24Y8//vjiHO932Z0+fTqqV6+OrVu3wtLSEgYGBujevTvevHkjK/N+i2Zubi78/f1RtWpVaGlpwc3NDbt27ZLbz82bN9GuXTvo6+tDT08PjRs3xv379zF9+nQEBQVh3759kEgkkEgkCA0NLbDL7okTJ1C3bl1oaGjA3NwckyZNQnZ2tmx5s2bNMHLkSEyYMAHGxsYwMzPD9OnTv/gcfa6tQQHo1OV7eHXsDGsbG0yZNgOamprYu/tP0TK9jxmFoww5mVE4ypCTGYWjDDkbNW6K4aPGoGWr1iWyP4tqdVC7Qx9Y1nD/YBkVtTLQNjCWTRo6evnKPL5xAU8jr6Bu5/75liXGRCPyxN9oNeRnVHGrDz1TM5hWsUVFp5qCHsv7lOF6M6PikkjEm0orVkiLia6uLnR1dbF3715kZGTkW3748GHEx8fD19c337L27dvDzs4Ov/32W7Fku3//Pvbu3Yv9+/dj//79OHHiBObNm/fB8v7+/tiyZQvWrVuHmzdvYsyYMfjxxx9x4sQJAMDTp0/RpEkTaGho4NixY7h06RL69euH7Oxs+Pr64vvvv4eHhwdiYmIQExMDd/f8f9yePn2Ktm3bok6dOrh69SrWrl2LTZs2Yfbs2XLlgoKCoKOjg/DwcCxYsAAzZ87EkSNHhD1BhZCVmYnIWzdRv8F/x6KiooL69d1x7eqVEs9TEGYUjjLkZEbhKENOZhSOsuRURM/vXsf28T2wa9oAhP26CunJSXLL05IScHrbCjTtOw5q6hr51o++Fg79smZ4fP08fp/cF7//5I1TW5chI+VNvrJCUYbrzYz0tVHe/pIKTk1NDYGBgRgwYADWrVuHmjVromnTpujevTtcXV1l93U6OjoWuL6Dg0OR7/0srNzcXAQGBkJPL++bzF69eiEkJARz5szJVzYjIwNz587F0aNH0aBBAwCAlZUVTp8+jfXr16Np06ZYvXo1DAwMsGPHDpQpUwYAYGf3X3cbLS0tZGRkwMzM7IOZ1qxZAwsLC6xatQoSiQQODg549uwZJk6ciJ9//hkqKnnfnbi6umLatLzuSra2tli1ahVCQkLQunX+b4wzMjLyfRkgVdWAhkb+P4pFlZCYgJycHJiYmMjNNzExwcOHD754+0JgRuEoQ05mFI4y5GRG4ShLTkVT0bkWqtRwh55peSTFxeDS3iAcWvkz2k9cDBUVVUilUpwMWgKHJm1Rtood3rx8kW8bb14+R3J8LB5ePoWm3uMgzc3FuV0bELJhDtqO+fAX5V9CGa43Myq2UtxQKRq2kBajzp0749mzZwgODoaHhwdCQ0NRs2ZNuQGDPnafqLq6erHksrS0lFVGAcDc3ByxsbEFlr137x5SU1PRunVrWauvrq4utmzZgvv38wYmiIiIQOPGjWWV0c8RGRmJBg0aQPJOf4SGDRsiOTkZT548kc1zdXWVW+9j2f39/WFgYCA3LZzv/9kZiYiIKI91naao4lYfxhWrwrK6O1oPm46X/97F87vXAQC3jgcjKz0Nbh7ff3AbUqkUOdlZaOo9Dma21WBu74rGvUYj5s41JD5/8sH1iKh0YQtpMdPU1ETr1q3RunVrTJ06Ff3798e0adOwdOlSAHkVsYK6sEZGRqJ69erFkun9iqNEIkFubm6BZZOTkwEAf//9NypWrCi37G1Lo5aWVjGkLFhRsvv5+WHs2LFy86SqX946CgBGhkZQVVXNd+N+fHw8TE1NBdnHl2JG4ShDTmYUjjLkZEbhKEtORadf1hyauvpIin2GCg7V8ezOVcQ+uI3A4R3kyu3zHwXrus3R1HsctA2MIVFRhUH5SrLlhmYWAICUV7EwNKsEoSnD9WZG+tqwhbSEOTk5ISUlBW3atIGxsTEWL16cr0xwcDCioqLg7e1d8gHf4+TkBA0NDURHR8PGxkZusrDI+6Ph6uqKU6dOISsrq8BtqKur53uMzfscHR1x9uxZuRbjsLAw6OnpoVKlz/uDpKGhAX19fblJiO66AFBGXR2OTs4IP3dWNi83Nxfh4Wfh6lZDkH18KWYUjjLkZEbhKENOZhSOsuRUdCkJL5Ge8gZa/x9Nt0G3wfCasgpek/Omb4bPBAA07z8JtTv0AQCUs3aCNDcHSXExsu28jn0KANA1KdoTAgpLGa43Myo4iYhTKcUW0mISHx+Prl27ol+/fnB1dYWenh4uXryIBQsWoEOHDtDR0cH69evRvXt3DBw4EMOHD4e+vj5CQkIwfvx4DBgwAG3btpXb5sOHD+VGpQXy7qPU0dEptuPQ09ODr68vxowZg9zcXDRq1AivX79GWFgY9PX10adPHwwfPhwrV65E9+7d4efnBwMDA5w7dw5169aFvb09LC0tcejQIdy5cwcmJiYwMDDIt5+hQ4di2bJlGDFiBIYPH447d+5g2rRpGDt2rOz+UUXTq09fTP1pIpydq6Gaiyu2bQ1CWloavDp2EjuaDDMKRxlyMqNwlCEnMwpHGXKmpqQgOjpa9vrpkye4HRkJAwMDmFeoIPj+stLTkBT3TPY6+eULxD++Dw0dPWho6+HK37/CskZDaOkb4c3LGJzfvRn6Zc1RyakWAEDXWL5CWUYjrzeVfllz6BjltaBVdKgOk8o2OLVlKep1HQRIc3FmxxpUcKwh12oqNGW43sxIXxNWSIuJrq4u6tWrh6VLl+L+/fvIysqChYUFBgwYgJ9++gkA0KVLFxw/fhxz5sxB48aNkZSUNzrd/PnzMWFC/md5vd/9FABOnTqFRo0aFeuxzJo1C2XLloW/vz8ePHgAQ0ND1KxZU3YcJiYmOHbsGMaPH4+mTZtCVVUV1atXR8OGDQEAAwYMQGhoKGrXro3k5GQcP34clpaWcvuoWLEiDhw4gPHjx8PNzQ3Gxsbw8fHBlClTivXYvoSHZ1skvHqFNatW4OXLONg7OGLN+o0wUaCuKswoHGXIyYzCUYaczCgcZch58+YN9O/bW/Z60YK8MRG+69ARs+YKPwDQy3+jcGDpJNnr8F2/AABs67eC+w/D8OrpQ0SdO4rM1BRoGxijolNN1PquF1SLMJ6EREUFrYdOw7nf1+LA4glQ09BEJedaqNdlgODH8y5luN7MqLgkpbmpUiQS6cdG1aESlZ6ejg4dOuDx48c4ceIEypYtK0qOHj16QFVVFdu2bRNl/8UpPfvTZYiIiL4mK07dFzvCJ41sbC12BCpBmgrcZHbxYdKnCxWT2lX1Rdt3cVLMvpBfKU1NTezbtw+9e/fGyZMnS3z/2dnZuHXrFs6ePQtnZ+cS3z8RERERkSKTSMSbSitWSBWMpqYmJk2ahM6dOxeqvKenp9zjWN6d5s6dW6R937hxA7Vr14azszMGDx78OfGJiIiIiIgKTYEbxKkwNm7ciLS0tAKXGRsbF2lb1atXR2pqqhCxiIiIiIiIPokVUiX3/rNBiYiIiIioeJTinrOiYZddIiIiIiIiEgVbSImIiIiIiAqDTaSCYwspERERERERiYIVUiIiIiIiIhIFu+wSEREREREVgoR9dgXHFlIiIiIiIiISBVtIiYiIiIiICkHCBlLBsYWUiIiIiIiIRMEWUiIiIiIiokJgA6nw2EJKREREREREomALKREREdFXbGRja7EjfNLK0w/EjlAoIxpZiR2BSOmwQkpERERERFQY7LMrOHbZJSIiIiIiIlGwhZSIiIiIiKgQJGwiFRxbSImIiIiIiEgUrJASERERERGRKNhll4iIiIiIqBAk7LErOLaQEhERERERkSjYQkpERERERFQIbCAVHltIiYiIiIiISBSskBIREREREZEo2GWXiIiIiIioMNhnV3BsISUiIiIiIiJRsIWUiIiIiIioECRsIhUcW0iJiIiIiIhIFKyQfuWaNWuG0aNHl/h+LC0tsWzZsmLfLxERERGRUCQS8abSihVSJfWhimRgYCAMDQ1LPE9RXbhwAQMHDhQ7xhfb8et2eLZugTo1XNCze1dcv3ZN7Ej5MKNwlCEnMwpHGXIyo3CUIaeiZ7x08QJGDB2MVs0awc3ZHsdCjhbr/mLuXsehVdPw64Se2DjIE48izsgtPxG4GBsHecpNB5dPkStzePV0/DapNwKGfYft439A6OaFSEmMlyvz4OJJ7J41DAHDvbDDrw+uHdpVrMf1lqJfb0A5MpLiY4WURFG2bFloa2uLHeOLHPznABYt8MegocOwY+ce2Ns7YMggH8THx3965RLCjMJRhpzMKBxlyMmMwlGGnMqQMS0tFfb29vCbMq1E9pedmQ6TSlZw7zH0g2UqOdfGDwu2y6bm/SfKLTe3d0PLgX7oMvMXtBo8BUlxMQhZP0e2/PGNCzi+aQEcm7RF52lr4f7DMNwI2YObx4OL7bgA5bjeypCRlAMrpKWYt7c3vLy8MGPGDJQtWxb6+voYPHgwMjMzP7hOQkICevfuDSMjI2hra8PT0xNRUVGy5fHx8ejRowcqVqwIbW1tuLi44LfffpPbRkpKCnr37g1dXV2Ym5tj8eLF+fbzfpddiUSCjRs3omPHjtDW1oatrS2Cg+V/2QcHB8PW1haamppo3rw5goKCIJFIkJiY+Hkn6AttDQpApy7fw6tjZ1jb2GDKtBnQ1NTE3t1/ipKnIMwoHGXIyYzCUYaczCgcZcipDBkbNW6K4aPGoGWr1iWyP4tqdVDbqw8sazT8YBlVtTLQNjCWTRo6enLLXVp1RDkrR+iZlEd5aye4eXyP2Ie3kZuTDQC4d+4YLKs3gGPTb6Ff1hyVXerCzeN7XDu0E1KptNiOTRmutzJkLA4SEafSihXSUi4kJASRkZEIDQ3Fb7/9ht27d2PGjBkfLO/t7Y2LFy8iODgYZ8+ehVQqRdu2bZGVlQUASE9PR61atfD333/jxo0bGDhwIHr16oXz58/LtjF+/HicOHEC+/btw+HDhxEaGorLly9/MuuMGTPw/fff49q1a2jbti169uyJV69eAQAePnyILl26wMvLC1evXsWgQYMwefLkLzw7ny8rMxORt26ifgN32TwVFRXUr++Oa1eviJbrXcwoHGXIyYzCUYaczCgcZcipDBkVVczda9jm2x07f+6P09tXIj056YNl01Pe4F74cZS3coSKat6DKHKys6BaRl2unKq6BlISXiI5PrZYMivD9VaGjKQ8WCEt5dTV1bF582Y4Ozvj22+/xcyZM7FixQrk5ubmKxsVFYXg4GBs3LgRjRs3hpubG7Zv346nT59i7969AICKFSvC19cX1atXh5WVFUaMGAEPDw/88ccfAIDk5GRs2rQJixYtQsuWLeHi4oKgoCBkZ2d/Mqu3tzd69OgBGxsbzJ07F8nJybKK7vr162Fvb4+FCxfC3t4e3bt3h7e390e3l5GRgaSkJLkpIyOjaCfwAxISE5CTkwMTExO5+SYmJnj58qUg+/hSzCgcZcjJjMJRhpzMKBxlyKkMGRVRJedaaNrXF23H+KNOp354HnUdh1ZORW5ujly5839uQuAIL2wb+z1SXsWi9dD/uhxXcqqJR1fC8DTyCqS5uXj94gmuH9kNAEh9/apYcivD9VaGjMWGTaSCY4W0lHNzc5O7V7NBgwZITk7G48eP85WNjIyEmpoa6tWrJ5tnYmICe3t7REZGAgBycnIwa9YsuLi4wNjYGLq6ujh06BCio6MBAPfv30dmZqbcNoyNjWFvb//JrK6urrKfdXR0oK+vj9jYvG8f79y5gzp16siVr1u37ke35+/vDwMDA7lp4Xz/T+YgIiIi5WddpxmquNWHccWqsKzujm+GzUDco7uIuSM/8I5rmy7oOGUVPEbNgURFBScCFsm649o39oRTs/Y4vHo6Ng9rj+B5Y2BduykAQKJSimsIRCVITewA9Hn09fXx+vXrfPMTExNhYGBQbPtduHAhli9fjmXLlsHFxQU6OjoYPXr0R+9LLawyZcrIvZZIJAW25BaWn58fxo4dKzdPqqrx2dt7l5GhEVRVVfPduB8fHw9TU1NB9vGlmFE4ypCTGYWjDDmZUTjKkFMZMioD/bLm0NTVR1JcDCo61pDN19Q1gKauAQzKV4KRuQV+m9QbsQ9uo7y1IyQSCep29kHtjt5Ie50ATT0DPLsdAQDQMzUrlpzKcL2VISMpD7aQKil7e/sC78u8fPky7OzsZK+vXr2KtLQ02etz585BV1cXFhYW+dZ1dHREdnY2wsPDZfPi4+Nx584dODk5AQDCwsLQoUMH/Pjjj3Bzc4OVlRXu3r0rK29tbY0yZcrIbSMhIUGuzOce78WLF+XmXbhw4aPraGhoQF9fX27S0BCmQlpGXR2OTs4IP3dWNi83Nxfh4Wfh6lbjI2uWHGYUjjLkZEbhKENOZhSOMuRUhozKICUhDukpb6BtYPzBMm9bRnOys+Tmq6ioQsfIFKpqZXD/wgmUs3KElp5hseRUhuutDBmLi0TEf6UVW0iV1JAhQ7Bq1SqMHDkS/fv3h4aGBv7++2/89ttv+Ouvv2TlMjMz4ePjgylTpuDRo0eYNm0ahg8fDhWV/N9F2NraokOHDhgwYADWr18PPT09TJo0CRUrVkSHDh1kZXbt2oUzZ87AyMgIS5YswYsXL2QVVl1dXfj4+GD8+PEwMTFBuXLlMHny5AL3VxSDBg3CkiVLMHHiRPj4+CAiIgKBgYEA8lpSxdCrT19M/WkinJ2roZqLK7ZtDUJaWhq8OnYSJU9BmFE4ypCTGYWjDDmZUTjKkFMZMqampMhu4QGAp0+e4HZkJAwMDGBeoYLg+8tKT0NS3DPZ6zcvXyD+8X1o6OhBQ1sPl/dvR9WaDaGlb4ykuGc4v3sz9MtWQCWnmgCA2Ie3EffoLsxsnKGurYs3cTG4GLwV+mXNUd7KAQCQnvwaDy+dhrm9K3KyMnH3zBE8vHQK345bIPjxvEsZrrcyZCTlwAqpkrKyssLJkycxefJktGrVCpmZmXBwcMDOnTvh4eEhK9eyZUvY2tqiSZMmyMjIQI8ePTB9+vQPbjcgIACjRo1Cu3btkJmZiSZNmuDAgQOy7rRTpkzBgwcP0KZNG2hra2PgwIHw8vKS6z68cOFCJCcno3379tDT08O4ceMK7F5cFFWrVsWuXbswbtw4LF++HA0aNMDkyZMxZMgQwVo9i8rDsy0SXr3CmlUr8PJlHOwdHLFm/UaYKFBXFWYUjjLkZEbhKENOZhSOMuRUhow3b95A/769Za8XLcgbt+G7Dh0xa+48wfcX928UDiz577mi4Ts3AABsG7RCwx+G49XTh4g6dxSZqSnQNjRGRceaqNWht2zUXDV1DTy6cgaX/9qG7Ix0aBkYo5JzLdQY4Cc3sm7U2aMI/3MjIJWinJUjvh03H+WqfnpsjC+hDNdbGTIWB5HaQUo1ibQ4H6JEovL29kZiYqJshNzSZs6cOVi3bl2BAzR9SPqnB/slIiIiBbPy9AOxIxTKiEZWYkcoFTQVuMnszvNU0fZtb6b96UJKSIEvN5G8NWvWoE6dOjAxMUFYWBgWLlyI4cOHix2LiIiIiL4SbCAVHiukpDSioqIwe/ZsvHr1CpUrV8a4cePg5+cndiwiIiIiIvpM7LJLXxV22SUiIlI+7LL7dVHkLrt3Reyya8cuu0RERERERF8x9tkVHJ9DSkRERERERKJgCykREREREVEhSNhEKji2kBIREREREZEoWCElIiIiIiIiUbBCSkREREREVAgSiXhTUUyfPh0SiURucnBwkC1PT0/HsGHDYGJiAl1dXXTu3BkvXryQ20Z0dDS+/fZbaGtro1y5chg/fjyys4V/ZAXvISUiIiIiIiplnJ2dcfToUdlrNbX/qn5jxozB33//jZ07d8LAwADDhw9Hp06dEBYWBgDIycnBt99+CzMzM5w5cwYxMTHo3bs3ypQpg7lz5wqakxVSIiIiIiKiQlCmIY3U1NRgZmaWb/7r16+xadMm/Prrr2jRogUAICAgAI6Ojjh37hzq16+Pw4cP49atWzh69CjKly+P6tWrY9asWZg4cSKmT58OdXV1wXKyyy4REREREZGCy8jIQFJSktyUkZHxwfJRUVGoUKECrKys0LNnT0RHRwMALl26hKysLLRq1UpW1sHBAZUrV8bZs2cBAGfPnoWLiwvKly8vK9OmTRskJSXh5s2bgh4XK6RERERERESFIRFv8vf3h4GBgdzk7+9fYMx69eohMDAQBw8exNq1a/Hw4UM0btwYb968wfPnz6Gurg5DQ0O5dcqXL4/nz58DAJ4/fy5XGX27/O0yIbHLLhERERERkYLz8/PD2LFj5eZpaGgUWNbT01P2s6urK+rVq4cqVargjz/+gJaWVrHmLCpWSImIiIhIoY1oZCV2hEJZc+aB2BE+aai7cpxLyk9DQ+ODFdBPMTQ0hJ2dHe7du4fWrVsjMzMTiYmJcq2kL168kN1zamZmhvPnz8tt4+0ovAXdl/ol2GWXiIiIiIioECQi/vsSycnJuH//PszNzVGrVi2UKVMGISEhsuV37txBdHQ0GjRoAABo0KABrl+/jtjYWFmZI0eOQF9fH05OTl+U5X1sISUiIiIiIipFfH190b59e1SpUgXPnj3DtGnToKqqih49esDAwAA+Pj4YO3YsjI2Noa+vjxEjRqBBgwaoX78+AOCbb76Bk5MTevXqhQULFuD58+eYMmUKhg0b9tmttB/CCikREREREVEhSJTkuS9PnjxBjx49EB8fj7Jly6JRo0Y4d+4cypYtCwBYunQpVFRU0LlzZ2RkZKBNmzZYs2aNbH1VVVXs378fQ4YMQYMGDaCjo4M+ffpg5syZgmeVSKVSqeBbJVJQ6dliJyAiIqLSiveQCkNTgZvMHr5MF23fVU01Rdt3ceI9pERERERERCQKBf7+gYiIiIiISHEoSY9dpcIWUiIiIiIiIhIFW0iJiIiIiIgKg02kgmMLKREREREREYmCLaRERERERESFIGETqeDYQkpERERERESiYIWUiIiIiIiIRMEuu0RERERERIUgYY9dwbGFlIiIiIiIiESh1BXS6dOno3r16mLHkJFIJNi7d+8Hlz969AgSiQQREREAgNDQUEgkEiQmJgIAAgMDYWhoWOw5iYiIiIio6CQiTqWVaBXS9u3bw8PDo8Blp06dgkQiwbVr10o4VfGysLBATEwMqlWrVuDybt264e7du7LXilbhpvx2/Lodnq1boE4NF/Ts3hXXFfA9y4zCUYaczCgcZcjJjMJRhpyKnHHt6pVwc7aXmzq0K/hzniIoqXP57O51/LNyGrb69sT6AZ54eOWM3PLjmxdj/QBPuenvZVPkyqSnvEHIL/OxeUQnBIzsgtDApchKTytwf69jn2Hz8LxyxWnTL+vxw/ed0aBODTRr3ACjRwzFo4cPinWfVHqJViH18fHBkSNH8OTJk3zLAgICULt2bbi6uoqQTF5OTg5yc3MF2ZaqqirMzMygplbwrbtaWlooV66cIPv6mgh5jYri4D8HsGiBPwYNHYYdO/fA3t4BQwb5ID4+vsSzfAgzCkcZcjKjcJQhJzMKRxlyKkNGaxtbhISelk2BW38VO1KBSvJcZmekw6SSFRr9MPSDZSyq1UavRdtlU6sBE+WWH9u4AAnPovHtmLnwGDEdMVE3cHLrinzbycnORsiGeTCzdRb8ON538cJ5dOvRE1t/+wPrfwlAdnY2Bg/wQWpqarHvm0of0Sqk7dq1Q9myZREYGCg3Pzk5GTt37oSPj0++7qt79+6F5CN3Ent7e8PLywuLFi2Cubk5TExMMGzYMGRlZcnKZGRkwNfXFxUrVoSOjg7q1auH0NBQ2fK33WaDg4Ph5OQEDQ0NREdH48KFC2jdujVMTU1hYGCApk2b4vLly/kyxMTEwNPTE1paWrCyssKuXbtky97vsvu+d7vsBgYGYsaMGbh69SokEgkkEgkCAwPRr18/tGvXTm69rKwslCtXDps2bfrguXlr165dcHFxgZaWFkxMTNCqVSukpKTIlm/evBnOzs7Q0NCAubk5hg8fLlu2ZMkSuLi4QEdHBxYWFhg6dCiSk5Pz5T906BAcHR2hq6sLDw8PxMTEyMoU5zUqaVuDAtCpy/fw6tgZ1jY2mDJtBjQ1NbF3958lnuVDmFE4ypCTGYWjDDmZUTjKkFMZMqqpqsK0bFnZZGRkLHakApXkuazsUgd1O/ZB1ZoNP1hGVa0MtA2MZZOGjp5sWUJMNB7fuIimfUahvJUDzG2roWGPIbh34QRSEuUr0Bf2BsHQ3ALWtZsIfhzvW7thEzp07AQbG1vYOzhg5px5iIl5hshbN4t932KTSMSbSivRKqRqamro3bs3AgMDIZVKZfN37tyJnJwcZGRkfNZ2jx8/jvv37+P48eMICgpCYGCgXKV3+PDhOHv2LHbs2IFr166ha9eu8PDwQFRUlKxMamoq5s+fj40bN+LmzZsoV64c3rx5gz59+uD06dM4d+4cbG1t0bZtW7x580Zu/1OnTkXnzp1x9epV9OzZE927d0dkZGSRj6Nbt24YN24cnJ2dERMTg5iYGHTr1g39+/fHwYMH5Sp5+/fvR2pqKrp16/bRbcbExKBHjx7o168fIiMjERoaik6dOsnO/9q1azFs2DAMHDgQ169fR3BwMGxsbGTrq6ioYMWKFbh58yaCgoJw7NgxTJgwQW4fqampWLRoEbZu3YqTJ08iOjoavr6+cmWK6xqVpKzMTETeuon6Ddxl81RUVFC/vjuuXb1Solk+hBmFoww5mVE4ypCTGYWjDDmVISMA/Bv9L1o1a4S2bVrCb8I4xDx7JnakfBTxXD67cw1BY7tjx5T+OLVtJdKTk2TLXtyPhLq2Lspa2snmVXKsAYlEgtgHt2XznkZG4MGl0x9tiS1Oyf//PKxvYCDK/km5ifrYl379+mHhwoU4ceIEmjVrBiCvu27nzp1h8JlvaCMjI6xatQqqqqpwcHDAt99+i5CQEAwYMADR0dEICAhAdHQ0KlSoAADw9fXFwYMHERAQgLlz5wLIa3Fcs2YN3NzcZNtt0aKF3H42bNgAQ0NDnDhxQq7FsmvXrujfvz8AYNasWThy5AhWrlyJNWvWFOk4tLS0oKurCzU1NZiZmcnmu7u7w97eHlu3bpVVBgMCAtC1a1fo6up+dJsxMTHIzs5Gp06dUKVKFQCAi4uLbPns2bMxbtw4jBo1SjavTp06sp9Hjx4t+9nS0hKzZ8/G4MGD5Y4tKysL69atg7W1NYC8yuXMmTPlchTXNXpfRkZGvi82pKoa0NDQ+Oh5KoyExATk5OTAxMREbr6JiQkeKsg9FMwoHGXIyYzCUYaczCgcZcipDBldXF0xa44/LC2rIi4uDuvXrkbf3j3x576/oKPz8c8nJUnRzqVFtVqoWrMh9EzLIykuBuf3BOLA8qnw8lsCFRVVpL5OgJae/GdiFVVVaOjoITUpAQCQnpyE0MAlaO4zHupaOiV+DLm5uVgwfy6q16gJW1u7T6+g9EpxU6VIRB1l18HBAe7u7ti8eTMA4N69ezh16hR8fHw+e5vOzs5QVVWVvTY3N0dsbCwA4Pr168jJyYGdnR10dXVl04kTJ3D//n3ZOurq6vnuX33x4gUGDBgAW1tbGBgYQF9fH8nJyfm6ijZo0CDf689pIf2Y/v37IyAgQJbrn3/+Qb9+/T65npubG1q2bAkXFxd07doVv/zyCxIS8n6ZxcbG4tmzZ2jZsuUH1z969ChatmyJihUrQk9PD7169UJ8fLzc/QLa2tqyyiggf/7fKq5r9D5/f38YGBjITQvn+3/yPBEREVHRNGrcFN+08YSdvQMaNmqMVWs34M2bJBw6+I/Y0RSaTd1msKxeHyaVqqJqDXd4jpiBuEd38exO4QdZOrFlOWzqNkMFO5dPFy4Gc2fPwP2oKCxYtFSU/ZPyE7WFFMgb3GjEiBFYvXo1AgICYG1tjaZNmyI6OlquKy8AufsMP6RMmTJyryUSiWzAm+TkZKiqquLSpUtyFSIAcq2LWlpa+e5V7dOnD+Lj47F8+XJUqVIFGhoaaNCgATIzM4t0vELo3bs3Jk2ahLNnz+LMmTOoWrUqGjdu/Mn1VFVVceTIEZw5cwaHDx/GypUrMXnyZISHh8PU1PSj6z569Ajt2rXDkCFDMGfOHBgbG+P06dPw8fFBZmYmtLW1ARR8/t+/jsV1jd7n5+eHsWPHys2Tqn556ygAGBkaQVVVNd8ACPHx8Z88lyWFGYWjDDmZUTjKkJMZhaMMOZUh4/v09fVRpYolHoswxsPHKPq51C9rDk1dfSTFxgCONaBtYIS0N6/lyuTm5CAj5Q209Y0AAM9uX8W/V8/h6uH/3wMrBaTSXGwY9C2a9BoJh0Ztii3v3NkzcfJEKDYHbUP5d3r0lWal+V5OsYj+HNLvv/8eKioq+PXXX7Flyxb069cPEokEZcuWxZs3b+QG3PnQYECFVaNGDeTk5CA2NhY2NjZyk9kn/hOFhYVh5MiRaNu2rWzQn5cvX+Yrd+7cuXyvHR0dPyuvuro6cnJy8s03MTGBl5cXAgICEBgYiL59+xZ6mxKJBA0bNsSMGTNw5coVqKurY8+ePdDT04OlpSVCQkIKXO/SpUvIzc3F4sWLUb9+fdjZ2eFZMdwb8iXX6H0aGhrQ19eXm4TorgsAZdTV4ejkjPBzZ2XzcnNzER5+Fq5uNQTZx5diRuEoQ05mFI4y5GRG4ShDTmXI+L7UlBQ8fvwYpmXLih1FjqKfy+RXcUhPeQNtg7wBocpbOyIzNRlx//43jsbT2xGQSqUoZ+UAAPDyW4IuP6+WTbU7/Igymlro8vNqVK3hXuB+vpRUKsXc2TNxLOQIftkchEqVLIplP/R1EL2FVFdXF926dYOfnx+SkpLg7e0NAKhXrx60tbXx008/YeTIkQgPD883Im9R2dnZoWfPnujduzcWL16MGjVqIC4uDiEhIXB1dcW33377wXVtbW2xdetW1K5dG0lJSRg/fjy0tLTyldu5cydq166NRo0aYfv27Th//nyhRr8tiKWlJR4+fIiIiAhUqlQJenp6sgpV//790a5dO+Tk5KBPnz6F2l54eDhCQkLwzTffoFy5cggPD0dcXJyswjx9+nQMHjwY5cqVg6enJ968eYOwsDCMGDECNjY2yMrKwsqVK9G+fXuEhYVh3bp1n3VcH/Ml16ik9erTF1N/mghn52qo5uKKbVuDkJaWBq+OncSOJsOMwlGGnMwoHGXIyYzCUYacip5x8cL5aNqsOcwrVEBcbCzWrl4JVVUVeLZt9+mVS1hJnsus9DS8jv3vC/w3L1/gZfR9aOjoQVNHDxf/2g6rmg2hbWCM13HPEL5rMwzKVoCFc00AgJF5ZVhUq42TW5aj8Y8jkJuTjbBf18KmTlPoGJrIyrwr7lEUJBIVGFe0FPx43po7awb+ObAfy1augY62Dl7GxQEAdPX0oKmpWWz7pdJJ9AopkNdtd9OmTWjbtq1sIBtjY2Ns27YN48ePxy+//IKWLVti+vTpGDhw4BftKyAgQDZ4z9OnT2Fqaor69evne5TK+zZt2oSBAweiZs2asLCwwNy5c/ONHgsAM2bMwI4dOzB06FCYm5vjt99+g5OT02dl7dy5M3bv3o3mzZsjMTERAQEBsgp7q1atYG5uDmdnZ9k5+xR9fX2cPHkSy5YtQ1JSEqpUqYLFixfD09MTQF635PT0dCxduhS+vr4wNTVFly55D1Z2c3PDkiVLMH/+fPj5+aFJkybw9/dH7969P+vYPuZzr1FJ8/Bsi4RXr7Bm1Qq8fBkHewdHrFm/ESYK0OXnLWYUjjLkZEbhKENOZhSOMuRU9IwvXjzHpPFjkZiYCCNjY9SoWQtbf/0DxsaK9+iXkjyXcf9G4a9F/z1X9OwfGwAAdg1aofGPw/HqyUPcPXsUmakp0DY0RiWnmqjj1RuqZdRl67ToPwFhv67B/sV+kKhIULVmQzTsPkTwrEXxx++/AQB8vHvJzZ852x8dFORLkuLCHrvCk0jfv8GPlEJycjIqVqyIgIAAdOpUuv/jCyk9W+wEREREVFqtOaMYox5/zFB3K7EjfJKmQjSZFexZYsmPH/NWBUP1TxdSQgp8uakgubm5ePnyJRYvXgxDQ0N89913YkciIiIiIvoqcFAj4bFCqmSio6NRtWpVVKpUCYGBgVBTU5Nb9rHuwbdu3ULlypU/uJyIiIiIiKgksUKqZCwtLfM9RuWtChUqfHQk4sLea0pERERERFQSWCEtRdTU1GBjYyN2DCIiIiKiUknCYY0EJ/pzSImIiIiIiOjrxBZSIiIiIiKiwmADqeDYQkpERERERESiYAspERERERFRIbCBVHhsISUiIiIiIiJRsEJKREREREREomCXXSIiIiIiokKQsM+u4NhCSkRERERERKJgCykREREREVEhSDiskeDYQkpERERERESiYIWUiIiIiIiIRCGRSqVSsUMQlZT0bLETEBEREYlnzZkHYkf4pLFNrMSO8EFxyeJ9mCyrWzrvtmQLKREREREREYmidFaziYiIiIiIBMYhjYTHFlIiIiIiIiISBSukREREREREJAp22SUiIiIiIioECfvsCo4tpERERERERCQKtpASEREREREVgoTDGgmOLaREREREREQkCraQEhERERERFQLvIRUeW0iJiIiIiIhIFKyQEhERERERkShYISUiIiIiIiJRsEJKREREREREouCgRkRERERERIXAQY2ExxZSKlY5OTlwd3dHp06d5Oa/fv0aFhYWmDx5MgBgz549qF+/PgwMDKCnpwdnZ2eMHj1abjvz5s2Dg4MDtLS0YGxsjHr16mHjxo0leTj57Ph1Ozxbt0CdGi7o2b0rrl+7JmqegjCjcJQhJzMKRxlyMqNwlCEnMwpH0XNeungBI4YORqtmjeDmbI9jIUeLdX/P7l7HPyunYatvT6wf4ImHV87ILT++eTHWD/CUm/5eNkWuTHrKG4T8Mh+bR3RCwMguCA1ciqz0NNnyi8Hb8m1j/QBPbBrmVazHRoqPFVIqVqqqqggMDMTBgwexfft22fwRI0bA2NgY06ZNQ0hICLp164bOnTvj/PnzuHTpEubMmYOsrCxZ+RkzZmDp0qWYNWsWbt26hePHj2PgwIFITEwU4ajyHPznABYt8MegocOwY+ce2Ns7YMggH8THx4uW6X3MKBxlyMmMwlGGnMwoHGXIyYzCUYacaWmpsLe3h9+UaSWyv+yMdJhUskKjH4Z+sIxFtdrotWi7bGo1YKLc8mMbFyDhWTS+HTMXHiOmIybqBk5uXSFb7vZNZ7n1ey3aDiPzyrCq1bjYjouUAyukVOzs7Owwb948jBgxAjExMdi3bx927NiBLVu2QF1dHX/99RcaNmyI8ePHw97eHnZ2dvDy8sLq1atl2wgODsbQoUPRtWtXVK1aFW5ubvDx8YGvr69ox7U1KACdunwPr46dYW1jgynTZkBTUxN7d/8pWqb3MaNwlCEnMwpHGXIyo3CUISczCkcZcjZq3BTDR41By1atS2R/lV3qoG7HPqhas+EHy6iqlYG2gbFs0tDRky1LiInG4xsX0bTPKJS3coC5bTU07DEE9y6cQEpiXkW/jKaW3PppSYlIiImGQ6M2xX58QpKI+K+0YoWUSsSIESPg5uaGXr16YeDAgfj555/h5uYGADAzM8PNmzdx48aND65vZmaGY8eOIS4urqQif1RWZiYib91E/QbusnkqKiqoX98d165eETHZf5hROMqQkxmFoww5mVE4ypCTGYWjLDkV0bM71xA0tjt2TOmPU9tWIj05Sbbsxf1IqGvroqylnWxeJccakEgkiH1wu8DtRZ46CIPyFWFuV63Ys5NiY4WUSoREIsHatWsREhKC8uXLY9KkSbJlI0aMQJ06deDi4gJLS0t0794dmzdvRkZGhqzMkiVLEBcXBzMzM7i6umLw4MH4559/PrrPjIwMJCUlyU3vbvNLJCQmICcnByYmJnLzTUxM8PLlS0H28aWYUTjKkJMZhaMMOZlROMqQkxmFoyw5FY1FtVpo3s8X7cb6o17nfnh29zoOLJ+K3NwcAEDq6wRo6RnIraOiqgoNHT2kJiXk2152VibuhR9XutZRIG9QI7Gm0ooVUioxmzdvhra2Nh4+fIgnT57I5uvo6ODvv//GvXv3MGXKFOjq6mLcuHGoW7cuUlNTAQBOTk64ceMGzp07h379+iE2Nhbt27dH//79P7g/f39/GBgYyE0L5/sX+3ESERERlSY2dZvBsnp9mFSqiqo13OE5YgbiHt3FszufNxjUo8tnkJWRBjv3VgInJWXECimViDNnzmDp0qXYv38/6tatCx8fH0ilUrky1tbW6N+/PzZu3IjLly/j1q1b+P3332XLVVRUUKdOHYwePRq7d+9GYGAgNm3ahIcPHxa4Tz8/P7x+/VpuGj/RT5DjMTI0gqqqar4BEOLj42FqairIPr4UMwpHGXIyo3CUISczCkcZcjKjcJQlp6LTL2sOTV19JMXGAAC0DYyQ9ua1XJncnBxkpLyBtr5RvvUjTx9EZZe6BS5TdBIRp9KKFVIqdqmpqfD29saQIUPQvHlzbNq0CefPn8e6des+uI6lpSW0tbWRkpLywTJOTk4A8MEyGhoa0NfXl5s0NDS+7GD+r4y6OhydnBF+7qxsXm5uLsLDz8LVrYYg+/hSzCgcZcjJjMJRhpzMKBxlyMmMwlGWnIou+VUc0lPeQNvAGABQ3toRmanJiPs3Slbm6e0ISKVSlLNykFs3Ke45nt25ppTddal4qIkdgEo/Pz8/SKVSzJs3D0BeZXPRokXw9fWFp6cnAgMDkZqairZt26JKlSpITEzEihUrkJWVhdat80aX69KlCxo2bAh3d3eYmZnh4cOH8PPzg52dHRwcHD62+2LTq09fTP1pIpydq6Gaiyu2bQ1CWloavDp2+vTKJYQZhaMMOZlROMqQkxmFoww5mVE4ypAzNSUF0dHRstdPnzzB7chIGBgYwLxCBcH3l5Wehtexz2Sv37x8gZfR96GhowdNHT1c/Gs7rGo2hLaBMV7HPUP4rs0wKFsBFs41AQBG5pVhUa02Tm5ZjsY/jkBuTjbCfl0LmzpNoWMof7/unbDD0DYwhoVLbcGPg5QTK6RUrE6cOIHVq1cjNDQU2trasvmDBg3C7t274ePjgylTpmD16tXo3bs3Xrx4ASMjI9SoUQOHDx+Gvb09AKBNmzb47bff4O/vj9evX8PMzAwtWrTA9OnToaYmztvYw7MtEl69wppVK/DyZRzsHRyxZv1GmChQlx9mFI4y5GRG4ShDTmYUjjLkZEbhKEPOmzdvoH/f3rLXixbkjYHxXYeOmDV3nuD7i/s3Cn8t+u+5omf/2AAAsGvQCo1/HI5XTx7i7tmjyExNgbahMSo51UQdr95QLaMuW6dF/wkI+3UN9i/2g0RFgqo1G6Jh9yFy+5Hm5uLOmSOwd28FFRVVwY+jRJTmvrMikUjfv5GPqBRLzxY7AREREZF41px5IHaETxrbxErsCB/0JiNXtH3raZTOuy3ZQkpERERERFQIEjaRCq50VrOJiIiIiIhI4bFCSkRERERERKJgl10iIiIiIqJCkLDHruDYQkpERERERESiYAspERERERFRIbCBVHhsISUiIiIiIiJRsIWUiIiIiIioMNhEKji2kBIREREREZEoWCElIiIiIiIiUbDLLhERERERUSFI2GdXcGwhJSIiIiIiKoVWr14NS0tLaGpqol69ejh//rzYkfJhhZSIiIiIiKgQJBLxpqL6/fffMXbsWEybNg2XL1+Gm5sb2rRpg9jYWOFPzBdghZSIiIiIiKiUWbJkCQYMGIC+ffvCyckJ69atg7a2NjZv3ix2NDmskBIRERERESm4jIwMJCUlyU0ZGRkFls3MzMSlS5fQqlUr2TwVFRW0atUKZ8+eLanIhSMlos+Wnp4unTZtmjQ9PV3sKB+kDBmlUuXIyYzCUYaczCgcZcjJjMJRhpzMKBxlyVkaTJs2TQpAbpo2bVqBZZ8+fSoFID1z5ozc/PHjx0vr1q1bAmkLTyKVSqWi1oiJlFhSUhIMDAzw+vVr6Ovrix2nQMqQEVCOnMwoHGXIyYzCUYaczCgcZcjJjMJRlpylQUZGRr4WUQ0NDWhoaOQr++zZM1SsWBFnzpxBgwYNZPMnTJiAEydOIDw8vNjzFhYf+0JERERERKTgPlT5LIipqSlUVVXx4sULufkvXryAmZlZccT7bLyHlIiIiIiIqBRRV1dHrVq1EBISIpuXm5uLkJAQuRZTRcAWUiIiIiIiolJm7Nix6NOnD2rXro26deti2bJlSElJQd++fcWOJocVUqIvoKGhgWnTphW6+4QYlCEjoBw5mVE4ypCTGYWjDDmZUTjKkJMZhaMsOb9G3bp1Q1xcHH7++Wc8f/4c1atXx8GDB1G+fHmxo8nhoEZEREREREQkCt5DSkRERERERKJghZSIiIiIiIhEwQopERERERERiYIVUiIiIiIiIhIFK6RERERERCKTSqWIjo5Genq62FGIShQrpEREREREIpNKpbCxscHjx4/FjlIk//77L27duoXc3Fyxo5CS4nNIiYogKysLgwYNwtSpU1G1alWx43zQ77//juDgYGRmZqJly5YYPHiw2JHySUpKQnh4ODIzM1G3bl2ULVtW7EgFysjIQHZ2NnR0dMSO8kGPHj3CkSNHkJmZiaZNm6JatWpiR6JikJSUVOiy+vr6xZiExJKZmYmHDx/C2toaamqK9xEuJCQEISEhiI2NzVc52bx5s0ip/vOh/0MSiQQaGhpQV1cv4UTyVFRUYGtri/j4eNja2oqapSCbN29GYmIixo4dK5s3cOBAbNq0CQBgb2+PQ4cOwcLCQqyIpKT4HFKiIjIwMEBERITCVkjXrl2LYcOGwdbWFlpaWrh+/TrGjh2LhQsXih1NJiIiAm3btsWLFy8glUqhp6eHP/74A23atBE7mkxcXBx69+6No0ePIjc3F3Xq1MG2bdtgY2MjdjQ5x48fR7t27ZCWlgYAUFNTw+bNm/Hjjz+KnCy/jh07QiKR5JsvkUigqakJGxsb/PDDD7C3ty/xbNHR0YUqV7ly5WJO8mEqKioFnr93SaVSSCQS5OTklFAqee9+UP2UJUuWFGOSwgsODi5w/rvvS7F/36empmLEiBEICgoCANy9exdWVlYYMWIEKlasiEmTJomaDwBmzJiBmTNnonbt2jA3N8/3Xt2zZ49Iyf7zqf9DlSpVgre3N6ZNmwYVFXE6Ef71119YsGAB1q5dq3BfLtavXx+DBg1C3759AQAHDx5E+/btERgYCEdHRwwfPhxOTk7YuHGjyElJ2bBCSlREffr0QfXq1TFmzBixoxTI2dkZ33//PaZNmwYA2LZtGwYNGoSUlBSRk/2nTZs2SE5OxqJFi6CpqYlZs2bh+vXriIqKEjuaTL9+/fDPP/9g5MiR0NTUxPr162Fubo7jx4+LHU1Oo0aNYGpqirVr10JTUxNTpkzBnj178OzZM7Gj5ePt7Y29e/fC0NAQtWrVAgBcvnwZiYmJ+Oabb3D16lU8evQIISEhaNiwYYlmU1VVlf389s/iux9cxa7oAcCJEycKXbZp06bFmOTDmjdvLvf68uXLyM7Oln3JcPfuXaiqqqJWrVo4duyYGBHzeVtJef/j0Nt5EokEjRo1wt69e2FkZCRKxlGjRiEsLAzLli2Dh4cHrl27BisrK+zbtw/Tp0/HlStXRMn1LnNzcyxYsAC9evUSO8oHbdmyBZMnT4a3tzfq1q0LADh//jyCgoIwZcoUxMXFYdGiRRg/fjx++uknUTIaGRkhNTUV2dnZUFdXh5aWltzyV69eiZILAExMTBAaGgoXFxcAwJAhQxAXF4ddu3YBAEJDQ9G3b188fPhQtIyknFghJSqi2bNnY/HixWjZsiVq1aqVryvnyJEjRUqWR0tLC5GRkbC0tAQA5ObmQktLC48ePYK5ubmo2d4yNTXF4cOHUbNmTQBAYmIijI2NkZiYqDBdDS0sLLBx40ZZq21UVBQcHR2RkpICDQ0NkdP9x9DQEGfOnIGTkxOAvJYUfX19vHjxAiYmJiKnkzdp0iQkJSVh1apVstaH3NxcjBo1Cnp6epgzZw4GDx6Mmzdv4vTp0yWaTU1NTdY60r59+w92h3RzcyvRXMpsyZIlCA0NRVBQkKwil5CQgL59+6Jx48YYN26cyAnzhISEYPLkyZgzZ45cJWXq1KmYMmUKDAwMMGjQINSrV0/WNbGkValSBb///jvq168PPT09XL16FVZWVrh37x5q1qxZpO7cxcXExATnz5+HtbW12FE+qGXLlhg0aBC+//57ufl//PEH1q9fj5CQEGzduhVz5szB7du3Rcn4thX8Q/r06VNCSfLT1tZGZGQkqlSpAiDv96GPj4/sc090dDTs7e1lPXaICk1KREViaWn5walq1apix5NKJBJpbGys3DxdXV3p/fv3RUqUn0Qikb548UJunq6urvTBgwciJcpPRUVFGhMTIzdPW1tb+vDhQ3ECfcCHzqUiXe+3TE1NpXfu3Mk3/86dO1ITExOpVCqVXrt2TWpgYFDCyaTSmJgY6bx586T29vbS8uXLS8eNGye9detWiecoqpSUFGlkZKT06tWrcpMiqFChgvTGjRv55l+/fl1qbm4uQqKCOTs7S8PCwvLNP336tNTJyUkqlUqlR44ckVpYWJR0NBktLS3Z/+l3/39HRERI9fX1Rcv1rgkT7wiLJgAAVxFJREFUJkhnzpwpdoyP0tTUlN69ezff/Lt370q1tLSkUqlU+uDBA9nPJM/BwUH6559/SqVSqTQuLk6qqqoqvXjxomx5eHi4tHz58mLFIyWmeHfEEyk4ZeiKMnXqVGhra8teZ2ZmYs6cOTAwMJDNE/v+rVu3buH58+ey11KpFJGRkXjz5o1snqurqxjRZN7txvn2tVQBO5UcOnRI7trm5uYiJCQEN27ckM377rvvxIgmJzs7G7dv34adnZ3c/Nu3b8u6wmpqan7yPsniYGZmhokTJ2LixIk4ffo0AgICUK9ePTg5OcHHxwc+Pj6i3VNWkLi4OPTt2xf//PNPgcvF7Fr8VlJSEuLi4vLNj4uLk/t/Lrb79+8X2DNDX18fDx48AADY2tri5cuXJR1Npnbt2vj7778xYsQIAP91J9+4cSMaNGggWq53paenY8OGDTh69ChcXV1RpkwZueVi/80B8nq+bNq0CfPmzZObv2nTJtlAPPHx8aJ1zX7r/v37CAgIwP3797F8+XKUK1cO//zzDypXrgxnZ2fRcvXp0wfDhg3DzZs3cezYMTg4OMhuvwCAM2fOKNx9r6QcWCEl+gLSAu41E1uTJk1w584duXnu7u6yD1aAYuRt2bJlvspdu3bt5O7bEvNDtVQqhZ2dndy5Sk5ORo0aNeQqJmLez/NWQV24Bg0aJPtZ7HP5Vq9eveDj44OffvoJderUAQBcuHABc+fORe/evQHk3Scp5gcuIO++3EaNGmHu3Lno0aMHBg8ejM6dO8PY2FjUXO8aPXo0EhMTER4ejmbNmmHPnj148eKF7JYCRdCxY0f07dsXixcvlnWFDQ8Px/jx49GpUyeR0/2nVq1aGD9+PLZs2SIb7TsuLg4TJkyQvU+joqJEHTl07ty58PT0xK1bt5CdnY3ly5fj1q1bOHPmTJHuLS5O165dQ/Xq1QFA7sswQDH+5gDAokWL0LVrV/zzzz+ya3vx4kXcvn1bdh/khQsX0K1bN9EynjhxAp6enmjYsCFOnjyJOXPmoFy5crh69So2bdokyymGCRMmIDU1Fbt374aZmRl27twptzwsLAw9evQQKR0pM95DSvQZtmzZgoULF8oG4bGzs8P48eMVejAHRfLvv/8Wqtzb+1TE8Kn7eN4S834eZZOTk4N58+Zh1apVePHiBQCgfPnyGDFiBCZOnAhVVVVER0dDRUUFlSpVEi3nmTNnsHnzZuzcuRP29vbo168fBg4cqFAtpObm5ti3bx/q1q0LfX19XLx4EXZ2dggODsaCBQtK/B7cgqSmpsLX1xebN29GVlYWgLx7dX18fLBw4UKFeZTSnTt30KFDBzx8+FBW6Xz8+LFs0CA7Ozvs3bsXb968EfV3/IMHD+Dv74+rV68iOTkZNWvWxMSJE2UDzFDhPHz4EOvXr8fdu3cB5D2qZNCgQbJxF8TWoEEDdO3aFWPHjpW7X/j8+fPo1KkTnjx5InZEIsGxQkpUREuWLMHUqVMxfPhw2Uigp0+fxurVqzF79mzRR9+1srLChQsXFG5AG6J3vR2ERVEGsYqJicGWLVsQEBCAhIQE9OzZE/369VPY7mf6+vq4du0aLC0tUaVKFfz6669o2LAhHj58CGdnZ6SmpoqaLycnB2FhYXBxcYG6ujru378PALC2tlaYiui7cnNzcfjwYblKSuvWrRXiSwhlef71u95WmsT8YklZ6erq4vr166hatapchfTRo0dwcHBAenq62BHlpKen4/fff0dKSgq++eYbhXs0GikHVkiJiqhq1aqYMWOGrIvhW0FBQZg+fbro95iqqKjg+fPnKFeunKg5PkYZnvmYkJCAbdu2oU+fPvkqTa9fv8aWLVsKXCaWY8eOYffu3Xj06BEkEgmqVq2KLl26oEmTJmJHUwplypRBxYoV0adPH3z33Xf57n97S+z7mt+qU6cOZs+ejTZt2uC7776DoaEh/P39sWLFCuzatUtWARSTpqYmIiMjlaYSpcgU/fnXQF6l/m2X8eTkZACAnp4exo0bh8mTJytE5R7IG9X9/PnziI2NRW5urtyy9/+ui6FSpUr4448/4O7uLlch3bNnD3x9fUX9vz127FhkZWVh5cqVAPLGp6hXrx5u3rwJbW1tZGdn48iRIwpzXzMpD1ZIiYpIU1MTN27cyPctYFRUFFxcXET/9lIZKqTK8MzHWbNm4dq1a/nukXnr+++/h5ubGyZPnlzCyfIbPHgwNmzYACMjI9jZ2UEqlSIqKgqJiYkYOnSo7MOD2F68eAFfX1+EhIQgNjY23z3EYl7vdz8sv30vvp9P7Pfku7Zt24bs7Gx4e3vj0qVL8PDwwKtXr6Curo7AwEBR74F7q3bt2pg/fz5atmwpdpRPCgkJkb0v36+kbN68WaRU/1H0518DgJ+fHzZt2oQZM2bI9R6aPn06BgwYgDlz5oicEPjrr7/Qs2dPJCcnQ19fX+7vjkQiUYgxAXx9fREeHo6dO3fCzs4Oly9fxosXL9C7d2/07t1b9oxxMVSrVg1z586VDZIXEBCAcePG4cqVK6hcuTL69euH2NhY/P3336JlJOXECilREVWrVg0//PBDvodmz549G7///juuX78uUrI8KioqCAoKkht1tSBijrqqDM98rF69uux5swUJCQmBr6+v6A+k37NnD7p3747169ejT58+sg9Yubm5CAwMxJAhQ7Bz506FGGXX09MT0dHRGD58OMzNzfMNdNKhQweRkinHfc0fk5qaitu3b6Ny5cowNTUVOw4A4ODBg/Dz88OsWbMKfGazovQumDFjBmbOnInatWsX+L7cs2ePSMn+o+jPvwaAChUqYN26dfl+1+zbtw9Dhw7F06dPRUr2Hzs7O7Rt2xZz586VG4lekWRmZmLYsGEIDAxETk4O1NTUkJOTgx9++AGBgYH5Rn8vSfr6+rh8+bLsC/kePXpAT08PGzZsAABERESgbdu2ePbsmWgZSTmxQkpURH/++Se6deuGVq1ayb4FDgsLQ0hICP744w907NhR1HyF6RYldkvP8+fPERQUhICAACQmJuLHH3+Ej48PHB0dRcv0Pj09Pdy8efOD3Yajo6NRrVo10R9I/91338HZ2Rn+/v4FLp84cSJu376Nffv2lXCy/PT09HDq1CnZSJyKZObMmfD19VXYD6nKqKBWZ0AxekC8y9zcHAsWLFDoQek+1lVXIpHIjaIuFk1NTVy7di3fY53u3LmD6tWrIy0tTaRk/9HR0cH169dhZWUldpRPio6Oxo0bN2Sju9va2oodCYaGhrhw4YIsS9WqVTF16lT069cPAPDo0SM4OjoqxLUm5cLHvhAVUefOnREeHo6lS5di7969AABHR0ecP38eNWrUEDfc//2vvTuPqzH9/wf+OieV9iLZJmuhIYQx9mIMEtm+Y1eIxjbM2DL2bTB87BmMpWKM3WTfpey7ytoiyk6EStLp/v3Rr8NxKplR133yej4eHjPnvo/Oq+N0Ou/7uq73Jfcpu7qw56Oenh7u37+fbUF6//594RkB4OLFixg/fny25zt27IhOnTrlY6Ls2draynIfVyBjlGzAgAE6U5BKkoQtW7YgKCgoy2mm27ZtE5TsnaCgINERciU1NRUNGjQQHSNHonsT5EaNGjXg6+uLRYsWaRz39fUVOtvlfS1btsT58+d1oiAtU6aM0D4KWXFwcMDOnTsxfPhwXL16FbGxsWjatKn6/J07d1C8eHGBCUlXcYSUqIDR09PDgwcPZF2QZuXRo0fo1q0bgoOD8eTJE+F7PjZt2hTffvut1gbqmXx8fHD27FnhH7oLFy6MW7duoVSpUlmev3fvHuzs7GRxxfrAgQOYO3culi9fLpstFjLpwtrr9w0bNgzLly9H06ZNUbx4ca1ppn5+foKS6R4fHx+YmppiwoQJoqPotODgYLi5uaFMmTLqpjanTp1CXFwc9uzZg8aNGwtOCKxatQpTp05Fnz594OjoqNW8TA5LG1QqFfz9/bNd03zkyBFByd4tEWnUqBGuXr2Kb775Bjt37lSf9/Hxwa1bt7LtvUCUHY6QEv0LKpUKgYGBuH79OgCgatWqcHd3F7q2I5OuXWP6cM/HJUuWwNLSUnQsDBkyBF27dsVXX32FgQMHqv9tVSoV/vjjD8yfPx9///234JQZozvZdYQFMtbrpqam5mOi7HXp0gXJycmoWLEijI2NtXKLbijyYVEnZ2vXrsW2bdvQunVr0VFylJCQgFWrVmm8V/bt2/eja9zzU0pKCv78808cOnQI1atX13pdzps3T1AyTXfv3sWOHTsQGxur9TMth4zOzs6IiIjAkiVLcOPGDQAZMzQGDRqU7QWz/Na/f38AGVP0PySXaeTDhg2Dv78/3NzcUK1aNVm9L3Xo0AF79uzBrl270KJFC/z0008a542NjTFkyBBB6UiXcYSU6BNFRUXBzc0Nd+/eReXKlQFkrJGxtbXF7t27UbFiRaH5+vTpg0WLFsHMzExojpzoyp6P48aNw8yZM2FmZqae4nXr1i0kJiZi1KhR2Y6e5ielUglvb+9sp5omJydjxYoVsvigFRAQkON5T0/PfEqiTalUwsLC4qMf/kQXzZnKly+PvXv3okqVKqKjZOv8+fNo2bIljIyMULduXQDAuXPn8Pr1axw4cAC1atUSnDDD+1MOP6RQKISOSGU6fPgw3N3dUaFCBdy4cQPVqlXD7du3IUkSatWqJYuM9HlYW1tjzZo1srzYNGHCBEyaNCnbRoR37txBv379cPDgwXxORrqOBSnRJ2rdujUkScK6devU00rj4+PRs2dPKJVK4e3OdWHKri7s+RgSEoL69evj0qVLWLduHaKioiBJEipVqoTu3burP2CL5uLikqsr6KKnFsudUqnEggULPjpyJ7Jofl9AQAD27duH1atXw8jISHScLDVu3Bh2dnZYsWKF+gNsWloa+vXrh1u3biEkJERwQt1Rt25duLq6YsqUKeq9KW1sbNCjRw+0atUKAwcOFJIrLCwM1apVg1KpRFhYWI73lcsevnJXqlQpHD16VKs5lBxkdvFes2aN1gXk5cuXY/To0WjQoAH27t0rKCHpKhakRJ/IxMQEp0+fhqOjo8bx0NBQNGzYUL0huCi6sBZOF/Z81IXCXhe8fPlSvb3HxzoSi9wGRBd+bt73+vVrdOjQASdOnEC5cuW0LupcvHhRULJ3jIyMcOnSJa1R3GvXrqFOnTpITk4WlEz3mJmZ4fLly6hYsSKsrKxw/PhxVK1aFaGhoWjXrh1u374tJNf7PzdKpRIKhSLLZSMi388XLVoEb29vFC5cWKvh0ofksH3O3LlzcevWLfj6+spqui6Q8R4+ZMgQbNq0CZMmTYKPjw/u3r2Lvn374ty5c5gzZw68vb1FxyQdxDWkRJ/I0NAQr1690jqemJgIAwMDAYm0vXr1CoULF87xPiI//OtCx0heq/s8rKys1IW9paVllh+w5LANiNw++H2Mp6cnLly4gJ49e2bZ1EgOzM3NERsbq1WQxsXFCV9S0LFjR/j7+8Pc3BwdO3bM8b5y6FhsYmKiXjdasmRJREdHo2rVqgCAp0+fCssVExODYsWKqf9fjubPn48ePXqgcOHCmD9/frb3UygUsihIjx8/jqCgIOzduxdVq1bVutgk8vVobm6ONWvWoFOnTvjxxx+xceNGxMTEoG7duggLC5PtPs0kfyxIiT5RmzZt4O3tjVWrVqmnbZ45cwYDBgyQRYc+ADlO9ZHDh39d+aUlxw/5H8ruw7SFhQUqVaqEfv36qT8winDkyBH11HY5TxvWtQsQu3fvxv79+9GoUSPRUbLVpUsXeHl54X//+596W5UTJ05g1KhR6Natm9Bs768XllODpezUq1cPx48fh4ODA1q3bo0RI0YgPDwc27ZtQ7169YTlev+9/M6dO2jQoIHW+sK0tDScPHlS2Pv++4WyXIvm91laWgrfz/xj6tWrB0dHRxw+fBgmJiYYP368zvxeJ3nilF2iT5SQkABPT0/s3LlTfeUyLS0N7u7u8Pf3F/7hRqlUYuvWrR/dNsXZ2TmfEmmLjIzExIkTsXz5cq2R2hcvXmDgwIGYPn260L3ilEolXF1dYWhomOP9RI+e9OnTJ8vjCQkJCA0NRUJCAkJCQmTRMCo2Nha2trZahb4kSYiLi5PdnntyVqVKFWzatEnW6/JSU1MxatQoLFu2DGlpaQAy1o8PHDgQs2bN+ujPFr2T2UytevXqSEpKwogRI3Dy5EnY29tj3rx5sigGslvmEB8fDxsbG1k0VqP/bv369RgyZAhq1qyJP/74A6tWrcLChQsxaNAgzJw586Ozs4iywoKU6F+KjIxUt7Z3cHCAnZ2d4EQZdGEtnLe3NywtLTF79uwsz/v4+ODly5dYunRpPid7R6lUonPnzh9tGCPn/R7T09PRv39/PH78WGOvOFHk/IH1Y9M2M4m+AJFp9+7dWLx4MZYtWya7PV0/lJycjOjoaABQb/lDBY9SqcSjR4+0ZmRERESgTp06H11DnleGDx+e6/vKYfscOevUqRP279+PmTNnamz5cvLkSfXFUX9/f/U+tES5xSm7RP+Svb097O3tRcfQScHBwfjrr7+yPd+5c2d07949HxNlbdGiRbIu7D9GqVRi6NChcHV1FR0FwLvp4h9KTEwUflXd3NxcJ6ZoZ+rZs6es93QFMqZrN2jQAMbGxlpN4OTk0aNHGDlyJA4fPozHjx9rTd+Ww8jexIkT0bRpU9SvX1/4z8qHMi/mKBQK9O7dW2PkW6VSISwsTD1lW4RLly5p3L548SLS0tLU27ZFRERAT08PtWvXFhFPi5xfjw8fPsSlS5e0Pvs0aNAAly9fxpgxY+Ds7Cybva9Jd7AgJcoFXbrCWrZsWejp6QnN8DGxsbE5FnrW1taIi4vLx0TadKk4yYmJiYnwbqaZPz8KhQITJkzQGCFTqVQ4c+YMatasKShdBn9/f6GP/6kWLFggOsJHubu7Iy0tDd988w1cXFzg7OyMhg0bym6bmt69eyM2NhYTJkxAyZIlZfmzf+rUKcybN0/9fDo7O8PFxUUWz2fmMhVJkmBmZqaRx8DAAPXq1UP//v1FxdNYuz5v3jyYmZkhICAAVlZWAIDnz5+jT58+aNy4saiIGuT8ejx27JhGl/z3GRkZYeHChejUqVM+p6KCgAUpUS7o0hVWXWjaYGFhgejo6GzXPUVFRQntAgzoXpOb7Bw8eFD4fnaZPz+SJCE8PFyjG7WBgQFq1KiBkSNHiooHAOjbt+9H76NQKLBq1ap8SJOzt2/fIjg4GBMmTED58uVFx8nW8+fPcfbsWQQHByM4OBgLFixAamoq6tSpg6ZNm2L69OmiIwLI6Gp67Ngx4RdFcnLw4EGkpaXhzJkzCAkJQXBwMBYtWoQ3b97gm2++wfHjx4Vly1y2UK5cOYwaNUrWU7Lnzp2LAwcOqItRIKMT+PTp09GiRQuMGDFCYLoMcn49ZleMvq9Jkyb5kIQKGhakRLmgS1dYa9Wqlav7idynsEmTJli8eDGaNWuW5flFixYJfy6DgoI+2hjqfY6OjtizZw9sbW3zMJW2HTt2ZHn8xYsXuHDhAlauXImVK1fma6YPZf789OnTBwsXLhR+sSEr/v7+KFu2LJycnGR/MUJfXx9bt27FhAkTREfJkb6+Pho2bIiGDRti7NixuHr1KubMmYN169bh9OnTsilIbW1tZf9vDgCFChVCw4YNUaxYMRQpUgRmZmYIDAxU9zIQzcPDA/fu3dOazhkZGQl9fX1ZrHV++fIlnjx5onX8yZMnWW7nJoKuvB6JPic2NSL6RKVLl8aBAwfUe8BlunLlClq0aIH79+8LSpZhypQp6v+XJAkzZ87EgAEDtIqrSZMm5Xc0tUuXLqF+/fpo06YNRo8erR5pvnHjBmbPno3du3fj5MmTuS6u5cDMzAyhoaH53hk4uyvWZmZmqFy5MoYPH46uXbvmayZdNHjwYKxfvx5ly5ZFnz590LNnz0+6IJHfPD09UbNmTfzyyy+io2QrIiICR48exdGjRxEcHIw3b96gcePGcHFxgYuLC2rUqCE6IgDgwIEDmDt3LpYvXy6Loikrf/75Z7bPY/Xq1WUxrdPZ2Rl9+/aFp6enxvG//voLK1euxNGjR8UEe4+HhweOHTuGuXPnamzbNmrUKDRu3BgBAQGCE+rG65Hoc2NBSvSJzMzMsHPnTri4uGgcDwoKgru7u2yusmYSVSh9zK5du9C3b1/Ex8drHC9atChWrlwpmz1dc0uuz7OcJCUlYdasWepmHenp6Rrnb926JShZhjdv3mDbtm1YvXo1Tp48CTc3N3h5eaFFixay+MD/vunTp2Pu3Ln47rvvULt2bZiYmGicHzp0qKBk7yiVShQrVgzDhg1DmzZt4OjoKLvnEciYspmcnIy0tDTZNojKfC5HjBiBQYMGwdTUVHQkLebm5rh48aJWx/moqCjUqVMHCQkJYoK9Jzk5GSNHjsTq1avx9u1bABkjz15eXpgzZ47Wz5EIuvB6JPrcWJASfSJduML6PjkXSq9fv8a+ffsQFRUFSZJQqVIltGjRQtZrkLIj5+f5faKmFgNAt27dEBwcjF69emXZrGPYsGH5nik7d+7cgb+/P9asWYO0tDRcvXpVVkVATmtHFQqF8OIeAH7++WeEhITg2rVrqFWrlnpEr1GjRrL6Gf/Ye/aHI34iBAYGIiQkBEePHsX169fh5OQku+fTwsICR48ehZOTk8bxCxcuwMXFRVYXa5OSkjS2IpJDIZpJF16PRJ8bC1KiT6QLV1jfpyuFkq7TledZZE5LS0vs3r0bDRs2zPfH/lRxcXHw8/ODv78/UlNTcePGDVkVpLokISEBx44dUzc3unr1KpycnHDixAnR0XTSixcvcOzYMWzevBnr16+HUqlESkqK6Fho27YtjIyMsH79enWnd5VKhS5duiApKQl79+4VnJCI5IpNjYg+kbGxMf744w/MmTNHtldY5W7RokW5up8cph3S52NlZSXrdZnvT9k9fvw42rRpA19fX7Rq1SpX3SVFybyuLMfpsEBGUfL27Vu8efMGKSkpePPmDW7evCk6lob09HRERUVlOZVcLl1D4+PjERwcrF6Xe/XqVVhZWQlvAJfp999/R5MmTVC5cmV1pmPHjuHly5c4cuSI4HTvnD9/Hps2bUJsbKzWfpnbtm0TlCprKSkpWhnl2BSO6L/iCCnRJwoKCkLTpk2zPLdkyRIMHjw4nxNp+rDY8/HxwahRo2Btba1xXGSxl5utKuQy7TC3OEL6cX/99Re2b9+OgIAAWUwxfN+gQYOwYcMG2Nraom/fvujRo4fWz4zcrFmzBnPmzEFkZCQAoFKlShg1ahR69eolOFmGoUOH4ujRo7h27RqsrKzQpEkT9f6ZclpPevr0aXTv3h137tzR6m6qUCigUqkEJXvH0dER169fVz+Pmfu6Vq9eXXQ0Dffv34evry9CQ0NhZGSE6tWrY8iQIbK5ELVhwwZ4eHigZcuWOHDgAFq0aIGIiAg8evQIHTp0UG9hI1JSUhJ8fHywadMmrR4LAGTxeiT63FiQEn0iKysrHDp0SGvP0YULF2LChAl4+fKloGQZCmKxpwv+/vtvtGvXTvYj5SILUicnJ0RHR0OSJJQrV06rWYfIrYiUSiXKlCkDJyenHAsluYygzJs3DxMmTMCQIUPUU6CPHz+OJUuWYPr06bLovvvDDz+oC9Bq1aqJjpOtmjVrolKlSpgyZUqWa5stLCwEJXtnyZIlcHZ2lvXzqAuqV6+OH3/8EYMHD1a/F5YvXx4//vgjSpYsqdGlXpTBgwcjKCgI06ZNQ69evbBkyRLcu3cPy5cvx6xZs9CjRw/REYk+OxakRJ9o5cqVGDt2LEJCQlClShUAGZttT506Fbt27ZLN9KmCREQjnlOnTiE+Ph5t2rRRH1uzZg0mTZqEpKQktG/fHosXL4ahoWG+ZfocRBakH/uwJ3Irot69e+dqxE4OIyhAxoWnKVOmwMPDQ+N4QEAAJk+ejJiYGEHJdI+JiQlCQ0O1usPSpzt27BiWL1+OW7duYfPmzShdujTWrl2L8uXLo1GjRqLjwcTEBFevXkW5cuVQtGhRHD16VD363KxZMzx48EB0RJQpUwZr1qyBi4uLRufitWvXYv369dizZ4/oiESfHdeQEn2ifv364dmzZ2jevDmOHz+OjRs3YsaMGdizZ49ONGv5kMiuq7l1+/ZtdQOp/DJ16lS4uLioC9Lw8HB4eXmhd+/ecHBwwJw5c1CqVClMnjw5X3PpMpEF58f4+/uLjvBJHjx4gAYNGmgdb9CggSw+VAMZxbG1tTXc3NwAAKNHj8aff/6Jr7/+Wr3nqxx8++23iIqKknVBKkkStmzZgqCgoCzXucph5H7r1q3o1asXevTogYsXL+LNmzcAMpowZf6OFM3Kykrd7bd06dK4cuUKHB0dkZCQgOTkZMHpMjx79kx9wdDc3Fy9zUujRo0wcOBAkdGI8ox8uzQQydjo0aPRo0cP1KlTB7NmzcL+/ft1shgFxBR7uuDy5cv47rvv1Lc3bNiAb7/9FitWrMDw4cOxaNEibNq0SWDCf2f58uUoXry46Bj0H9nZ2WX5+tu4cSPs7e0FJNI2Y8YMGBkZAciYcbBkyRLMnj0b1tbWsphSnOmnn37CiBEj4O/vjwsXLiAsLEzjjxz8/PPP6NWrF2JiYmBqagoLCwuNP3Iwffp0LFu2DCtWrNCYjt+wYUOh0/Hf16RJExw8eBBAxpTyYcOGoX///ujWrZvG+71IFSpUUM9wqFKlivrnfOfOnbC0tBSYjCjvcISUKBey6gpbunRpGBsbo0mTJjh79izOnj0LgJ1hC4rnz59rFG7BwcFwdXVV3/7mm28QFxcnIpqGT51a3L1793zNV6RIEURERMDa2hpWVlY5Tovlhu+5N2XKFHTp0gUhISHqi2EnTpzA4cOHZXOhJC4uTj3qGBgYiE6dOsHb2xsNGzaEi4uL2HDv6dSpEwCgb9++6mMKhQKSJMmmqdHatWuxbds2tG7dWnSUbN28eTPLjsQWFhZISEjI/0BZ8PX1VW+RM27cOOjr6+PkyZPo1KkTxo8fLzhdhj59+iA0NBTOzs4YM2YM2rZtC19fX7x9+xbz5s0THY8oT7AgJcqF+fPnZ3lcT08PJ06cUO+np1AoWJAWEMWLF0dMTAxsbW2RmpqKixcvaqyBfPXqlVZTHhHkPrV4/vz5MDMzAwAsWLBASIaCqFOnTjhz5gzmzZuHwMBAAICDgwPOnj0LJycnseH+P1NTU8THx6NMmTI4cOAAhg8fDgAoXLgwXr9+LTjdO7qw3tbCwkL2HbxLlCiBqKgolCtXTuP48ePHZZP9/W6/SqUSY8aMEZgma+/PHmjevDlu3LiBCxcuwM7OTnZdlYk+FxakRLmgCx9Y6PNq3bo1xowZg99//x2BgYEwNjbWaFgVFhaGihUrCkyY4fLly5g2bZr69vtTiwHA1tYWkyZNElaQenp6AgDS0tKgUCjQsmVLThn+TGrXro1169aJjpGt77//Hv369YOTkxMiIiLUo3uZTWXkQi5rWXMyefJkTJkyBatXr1ZPg5ab/v37Y9iwYVi9ejUUCgXu37+PU6dOYeTIkZgwYYLoeGoqlQqBgYG4fv06AKBq1apwd3eHnp6e4GRZK1u2rE68Ron+CxakRERZmDZtGjp27AhnZ2eYmpoiICAABgYG6vOrV69GixYtBCbMoCtTiwsVKoQBAwaoPwTSv6NUKj/aDVihUCAtLS2fEmVvyZIlGD9+POLi4rB161YULVoUAHDhwgV069ZNcDpt165dQ2xsLFJTUzWOu7u7C0r0TufOnbF+/XrY2NjIbsukTGPGjEF6ejq+++47JCcno0mTJjA0NMTIkSPx008/iY4HAIiKioKbmxvu3r2LypUrAwBmzpwJW1tb7N69WxYXGYcOHQo7Ozut2Va+vr6IioriTBMqkLjtC9En6tSpE+rWrQsfHx+N47Nnz8a5c+ewefNmQcn+HZHbgOSWyD0+X7x4AVNTU62r58+ePYOpqalGkSpC2bJlsXbtWjRp0gSpqamwtLTEzp071Q06wsPD4ezsLIv1mS4uLvj555/Rvn170VF01vbt27M9d+rUKSxatAjp6enqdXL0cbdu3UKHDh0QHh6uXjsKQF34y2ENaefOnREUFIT/+7//Q/HixbUuSsipg3VqaiqioqKQmJiIr7/+GqampqIjqbVu3RqSJGHdunXq6bvx8fHo2bMnlEoldu/eLThhRn+KHTt2aO11fvHiRbi7u+Pu3buCkhHlIYmIPom1tbUUFhamdTwsLEyysbERkOi/WbdunZSYmJivj3ny5Elp586dGscCAgKkcuXKScWKFZP69+8vpaSk5Gum3IiLi5Pi4uJEx9AwYMAAqX79+lJISIg0fPhwqWjRotKbN2/U5//66y+pTp06AhO+s3HjRqlChQrS4sWLpZMnT0qhoaEaf+jfuXHjhtS+fXtJT09P8vDwkG7fvi06kiRJkrR3717p2LFj6tu+vr5SjRo1pG7duknPnj0TmExTmzZtpHbt2klPnjyRTE1NpWvXrknHjh2T6tatK4WEhIiOJ0mSJBkbG2s8l/TvGBsbZ/n7+/Lly5KJiYmARNoMDQ2lyMhIreORkZGSoaGhgEREeY/bvhB9osTExCxHxfT19fHy5UsBiTSdOnUKu3bt0ji2Zs0alC9fHjY2NvD29lbvDwdkdF3N75HHqVOn4urVq+rbmY14mjdvjjFjxmDnzp2YOXNmvmbKTnp6OqZOnQoLCwv1Wh5LS0tMmzZNay9AEaZNm4ZChQrB2dkZK1aswIoVK2Q5tRgAunbtipiYGAwdOhQNGzZEzZo14eTkpP4vfZr79++jf//+cHR0RFpaGi5fvoyAgADZrDcbNWqU+j0xPDwcI0aMQOvWrRETE6NucCQHp06dwtSpU2FtbQ2lUgmlUolGjRph5syZsmlSZ2trC3Nzc9ExtHTs2FH9b9yxY8cc/3h4eOD333/HixcvhOU1NDRU70P6vux+r4tgZ2eHffv2aR3fu3evrGcyEf0XXENK9IkcHR2xceNGTJw4UeP4hg0b8PXXXwtK9Y7cu64C8m/E875x48Zh1apVmDVrlnp7jePHj2Py5MlISUnBb7/9JjSftbU1QkJCsp1avHnzZtlMmWNzsM/jxYsXmDFjBhYvXoyaNWvi8OHDGg235CImJkb9nrh161a0adMGM2bMwMWLF2W1fYlKpVJ3gra2tsb9+/dRuXJllC1bFjdv3hScLsPcuXMxevRoLFu2TFYNoSwsLNTThz+2H+qbN2+wbNkynDhxAjt27MiPeFratGkDb29vrFq1CnXr1gUAnDlzBgMGDJDFWmEAGD58OIYMGYInT56gWbNmAIDDhw9j7ty5XD9KBZfoIVoiXbNjxw6pUKFCkoeHh+Tv7y/5+/tLvXr1kgoVKiT9888/ouNJJUqUkM6dO6e+PXbsWKlhw4bq25s2bZIcHBxERFMzNDSUYmNj1bcbNmwoTZ8+XX07JiZGMjU1FRFNS8mSJaXt27drHQ8MDJRKlSolINHHyXFqMX0ev//+u1SkSBHp66+/lgIDA0XHyZGVlZV09epVSZIyfsaXL18uSVLGz7eRkZHIaBoaNWqkfu/u1q2b1KpVK+n48eOSh4eHVLVqVbHh/j9LS0vJwMBAUiqVkqmpqWRlZaXxR1dcvXpVMjY2Fvb4z58/l9zd3SWFQiEZGBion9P27dtLCQkJwnJ96I8//pBKly4tKRQKSaFQSOXLl5cCAgJExyLKM2xqRPQv7N69GzNmzMDly5dhZGSE6tWrY9KkSXB2dhYdDYULF0ZkZCRsbW0BAI0aNYKrqyvGjRsHALh9+zYcHR2znLaUX3SpEU/hwoURFhaGSpUqaRy/efMmatasKZv9FNPT0zF9+nTMnTsXiYmJADIaVo0YMQLjxo2DUimPFRo3b97E4sWL1d12HRwc8NNPP6k7XlLOlEoljIyM0Lx58xy3qdi2bVs+psqau7s7UlNT0bBhQ0ybNg0xMTEoXbo0Dhw4gCFDhiAiIkJ0RADA/v37kZSUhI4dOyIqKgpt2rRBREQEihYtio0bN6pHqUQKCAjI8Xzm9kpyp1KpcOXKFdSoUUNojsjISNy4cQNAxnuQnZ2d0DzZefLkCYyMjGQzy4Uor3DKLtG/4ObmBjc3N9ExslS8eHHExMTA1tYWqampuHjxIqZMmaI+/+rVK60tA/KbruzxCQA1atSAr68vFi1apHHc19dX+Ieq98l9ajGQMW2za9euqFOnDurXrw8AOH36NKpVq4YNGzagU6dOghPKn4eHx0e3fZELX19fDBo0CFu2bMHSpUtRunRpABlr4Vq1aiU43TstW7ZU/7+dnR1u3LiBZ8+ewcrKSjbPtS4UnElJSZg1axYOHz6Mx48fa62xv3XrFvT09GTxvmlvbw97e3vRMbL0+vVrSJIEY2NjFCtWDHfu3MHKlSvx9ddfy6YfANHnxhFSogJm4MCBCA0NVRd7AQEBuH//vrphw7p167BgwQKcO3dOWManT5+iY8eOOH78uHqPzw4dOqjPf/fdd6hXr54siqjg4GC4ubmhTJky6iLq1KlTiIuLw549e2Szdq9UqVJYtmyZ1jqo7du3Y9CgQbh3756gZO9UrFgRPXr0wNSpUzWOT5o0CX/99Reio6MFJaMv2YsXL6BSqdTbgGR69uwZChUqJJtmQiqVCoGBgerZBVWrVoW7u3uOI+X5qVu3bggODkavXr1QsmRJrWJ+2LBhQnJ9SgOtefPm5WGS3GnRogU6duyIAQMGICEhAZUrV4aBgQGePn2KefPmYeDAgaIjEn12LEiJPpFKpcL8+fOxadOmLDdRFz3NVJeKPbnv8Znp3r17+OOPPzSmeA0aNAilSpUSnOwdXZhabGxsjLCwMK3pcZGRkahRowaSk5MFJaO8lpKSovVeKZdCz9XVFW3btsWgQYM0ji9btgw7duzAnj17BCV7JyoqCq1bt8a9e/fU09tv3rwJW1tb7N69WxYzSiwtLbF79271DA25aNq0aa7up1AocOTIkTxO83HW1tYIDg5G1apVsXLlSixevBiXLl3C1q1bMXHiRPUFCaKChAUp0SeaOHEiVq5ciREjRmD8+PEYN24cbt++jcDAQEycOFE22wToSrGXKXOz76+++kpwEt307bff4ttvv9WaWvzTTz/h3LlzOH36tKBk77Ru3Ro//PAD+vTpo3Hcz88PGzZswP79+wUlo7yQlJQEHx8fbNq0CfHx8VrnVSqVgFTaihQpghMnTsDBwUHj+I0bN9CwYcMss+e31q1bQ5IkrFu3Tj2SGx8fj549e0KpVGL37t2CEwLly5fHnj17tJ5H+jTGxsa4ceMGypQpg86dO6Nq1aqYNGkS4uLiULlyZV64owKJa0iJPtG6deuwYsUKuLm5YfLkyejWrRsqVqyI6tWr4/Tp07IpSN9vwf9+sffhtDSRdKERT2RkJLZv347bt29DoVCgQoUKaN++PcqXLy86mobZs2fDzc0Nhw4dynJqsRy4u7vDx8cHFy5cQL169QBkrCHdvHkzpkyZorEVhFy2YKB/b/To0QgKCsLSpUvRq1cvLFmyBPfu3cPy5csxa9Ys0fHU3rx5g7S0NK3jb9++lcXMAiBj6cDp06c13r+LFi2qsWZctGnTpmHixIkICAiAsbGx6DgfFRcXBwDqBoByYWdnh8DAQHTo0AH79+/HL7/8AgB4/PixbGYVEH12otr7EukqY2Nj6c6dO5IkZWyxcuHCBUmSJCk6OloyNzcXGU2DSqWSpkyZIpmbm0tKpVJSKpWShYWFNHXqVEmlUomOJ0mSJI0ZM0YqVqyY9Mcff0ihoaFSaGiotGTJEqlYsWLS2LFjRceTZsyYIRUqVEhSKpVSiRIlpOLFi0tKpVLS19eX5syZIzqelrt370pjx46VOnbsKHXs2FEaN26cdO/ePdGx1DK3MPjYH6VSKToqfQa2trZSUFCQJEmSZGZmJkVGRkqSJElr1qyRXF1dBSbT5OLiIg0ZMkTr+KBBg6RGjRoJSKTNyspKOnHihNbx48ePy2bbl5o1a0pmZmaSqampVK1aNcnJyUnjjxy8fftWGj9+vMbvRXNzc2ncuHFSamqq6HiSJEnS5s2bJX19fUmpVErff/+9+viMGTOkVq1aCUxGlHc4Qkr0ib766is8ePAAZcqUQcWKFXHgwAHUqlUL586dg6Ghoeh4arrQdTUgIAArV67UGA2rXr06SpcujUGDBgnNGBQUhPHjx2PChAkYNmwYrKysAGRMeV6wYAHGjBmDunXrokmTJsIyfqh06dKy+HfNzoddN6lge/bsGSpUqAAgY71o5vr6Ro0ayaoxy/Tp09G8eXOEhoaqt546fPgwzp07hwMHDghOl6FNmzbw9vbGqlWrULduXQDAmTNnMGDAANnMJmjfvr3oCB/1008/Ydu2bZg9e7bGTJLJkycjPj4eS5cuFZwQ+L//+z80atQIDx480OhI/N1332n0g7h79y5KlSoli5lERP+Z6IqYSNf4+PhIv/32myRJkrRhwwapUKFCkp2dnWRgYCD5+PgITvdOyZIlpe3bt2sdDwwMlEqVKiUgkTZDQ0Pp5s2bWsdv3LghFS5cWECidzp37ix5e3tne75///5S165d8zFRziIiIqQ5c+ZIgwcPloYMGSLNmzdPunXrluhYaqmpqVKzZs2kiIgI0VEonzg6OkpHjx6VJEmSvvvuO2nEiBGSJEnSwoULpdKlS4uMpuXSpUtS9+7dpa+//lqqXbu21KdPH1m9Vp8/fy65u7tLCoVCMjAwkAwMDCSlUim1b99eSkhIEB1PZ5ibm0t79uzROr57925ZzXDKDTMzMyk6Olp0DKLPgk2NiP6j06dP4+TJk7C3t0fbtm1Fx1HTha6rcm7EU758eaxduxaNGjXK8vyxY8fg4eGBmJiYfE6mbebMmZg4cSLS09NhY2MDSZLw5MkT6OnpYcaMGRg5cqToiACAYsWKqX9WqOCbP38+9PT0MHToUBw6dAht27aFJEl4+/Yt5s2bJ2wbEF0WFRWl7rLq4OCg1bGacmZjY4Pg4GCtxkvXr19HkyZN8OTJE0HJPp2ZmRlCQ0PVsxCIdBmn7BJ9ovj4eBQtWhQA1A1jXr9+jTp16ghOpqlGjRrw9fXVKvZ8fX1lsTE5IO9GPI8ePUK5cuWyPV++fHk8fPgw/wJlQ5emFvfs2VM9jZwKrvT0dMyZMwc7duxAamoq7t+/j0mTJuHGjRu4cOEC7OzsUL16ddExkZaWBpVKpbHU4tGjR1i2bBmSkpLg7u6e7QUpUezs7GBnZweVSoXw8HA8f/5c/TMvQpEiRRAREQFra2tYWVlp7T36PtFbogHAkCFDMG3aNPj5+an/3d+8eYPffvsNQ4YMEZyO6MvFEVKiXAoPD0fbtm0RFxcHe3t7bNiwAa1atUJSUhKUSiWSkpKwZcsW2ayjCQ4OhpubG8qUKZNlsde4cWPBCTPIdY9PpVKJhw8fwsbGJsvzjx49QqlSpYRvXdGlSxdYWlpi+fLlWZ739vbGq1evsH79+nxOpu2nn37CmjVrYG9vj9q1a8PExETjvBw2paf/btq0aZg8eTKaN28OIyMj7N+/H926dcPq1atFR9PQp08fGBgYqH92Xr16hapVqyIlJQUlS5bEtWvXsH37drRu3VpwUuDnn3+Go6MjvLy8oFKp4OzsjJMnT8LY2Bi7du2Ci4uLkFwBAQHo2rUrDA0NERAQkON9PT098ylV9jp06IDDhw/D0NBQfWE2NDQUqamp6vXDmbZt2yYiYq5xhJQKEhakRLnk6uqKQoUKYcyYMVi7di127dqFli1bYsWKFQAyPmxfuHBBFvs9ZpJrsacLlEolpk+fDlNT0yzPv3r1ChMnThRekOrS1OKcNqiXy6b09N/Z29tj5MiR+PHHHwEAhw4dgpubG16/fi2rBiyVKlWCr68vWrRoAQBYsmQJZsyYgWvXrsHCwgI+Pj44e/YsgoKCBCfNaKYXGBiIOnXqIDAwEIMGDcLRo0exdu1aHDlyBCdOnBAdMddmzZqFAQMGwNLSMt8f+8M9kHPi5+eXh0n+OxakVJCwICXKJWtraxw5cgTVq1dHYmIizM3Nce7cOdSuXRtAxibq9erVQ0JCgtigOkTOe3yWK1cux+lnmUQXesbGxoiIiMBXX32V5fm7d+/C3t5eFmuG6ctgaGiIqKgojf0dCxcujKioqGxfpyKYmJjgypUr6vebjh074quvvlIvc7h27RpcXFzw+PFjkTEBaD5/3t7eMDY2xoIFCxATE4MaNWrg5cuXoiPmmrm5OS5fvsxC6j/i80gFCdeQEuXSs2fPUKJECQCAqakpTExMNNbuWFlZ4dWrV6LiaZFzsQdk34jHx8dHFo14bt++LfTxcyslJQUGBgbZntfX10dqamo+Jvq4qKgoREdHo0mTJjAyMoIkSbkq/kk3pKWloXDhwhrH9PX18fbtW0GJsla4cGGNCzWnT5/GnDlzNM4nJiaKiKalePHiuHbtGkqWLIl9+/aptydJTk6Gnp6e4HSfRsQ4SHbrWy0sLFCpUiWMHDkS33//fb7n+i84nkQFCQtSok/w4S80uX6IlnuxpyuNeNLT0+Hv749t27ZpFPadOnVCr169ZPPvv3LlyhynFstFfHw8OnfujKCgICgUCkRGRqJChQrw8vKClZUV5s6dKzoifQaSJKF3794azYJSUlIwYMAAjXXDotfo1axZE2vXrsXMmTNx7NgxPHr0CM2aNVOfj46Ols3yhj59+qBz584oWbIkFAoFmjdvDiBjL9IqVaoITid/CxYsyPJ4QkICLly4gDZt2mDLli2y6JTv5+eHLl26wNjYOMf7Xbt2TTavT6L/ilN2iXJJqVTC1dVV/SFr586daNasmfoD1ps3b7Bv3z7hawqDgoLQvHnzbIu9GTNm4MiRI0KLPV1oxCNJEtq0aYO9e/eiRo0aqFKlCiRJwvXr1xEeHg53d3cEBgYKy5dJV6YWA4CHhwceP36MlStXwsHBQb3+af/+/Rg+fDiuXr0qOiJ9Brldpyd6jV5wcDBcXV1RsmRJPHjwAN26dcOqVavU5wcNGoSkpKSPNuvJL1u2bEFcXBx++OEH9dTngIAAWFpaol27doLT5Z4c1z7OmzcPW7ZswcmTJ0VHQfHixfH69Wv88MMP8PLyQoMGDURHIspzLEiJcklXPmTpQrGnC414/Pz8MGzYMGzfvl2rGc+RI0fQvn17+Pr6wsPDQ1BC3VOiRAns378fNWrU0PhQeuvWLfXabKL8dP36dRw4cAAlSpTADz/8oNF06c8//0TdunVRs2ZNcQELIDkWpBEREahXr54stqZJS0vDzp074e/vj71796JChQro06cPPD091cuGiAoaFqREBYwuFHu60IinRYsWaNasGcaMGZPl+RkzZiA4OBj79+/P52TadGVqsZmZGS5evAh7e3uND6Xnz59Hy5YtER8fLzoiUbbc3NywcuVKlCxZUsjjHz58GIcPH8bjx4+Rnp6ucU5uW+rkRI4FaXh4OL7//ntZ7C39vkePHuGvv/5CQEAAbty4gVatWsHLywtt27aVVcdqov+Kr2aiAubRo0coV65ctufLly8v/JeuLjTiCQsLQ6tWrbI97+rqitDQ0HxMlDVJktC2bVv069cP9+7dg6OjI6pWrYrbt2+jd+/e6NChg+iIao0bN8aaNWvUtxUKBdLT0zF79uwct4QhkoOQkBBhF8mmTJmCFi1a4PDhw3j69CmeP3+u8UfOkpOTNabCNm7cGEZGRgITaVu1apUsR8KLFy+ORo0aoX79+lAqlQgPD4enpycqVqyIo0ePio5H9NmwqRFRAaMLxR4g/0Y8z549Q/HixbM9X7x4cVl8EPT398exY8dw+PDhbKcWr1mzRhZTi2fPno3vvvsO58+fR2pqKkaPHo2rV6/i2bNnOrWPIlF+W7ZsGfz9/dGrVy/RUT5ZZGQkGjdurO6vsGfPnnzPMHz48CyPv3jxAhcvXkRERARCQkLyOVX2Hj16hLVr18LPzw+3bt1C+/btsWvXLjRv3hxJSUmYOnUqPD09cefOHdFRiT4LTtklKmCUSiWmT5+eY7E3ceJEoc2XdKERj56eHh4+fIhixYplef7Ro0coVaqU8CZWujS1GMj4AOjr64vQ0FAkJiaiVq1aGDx4sLBpkES5JXKqadGiRXH27FlUrFgx3x/7vwoNDUWtWrWEvldmNwPD3NwclStXxsCBA2WzJVrbtm2xf/9+VKpUCf369YOHhweKFCmicZ/Hjx+jRIkSWlO3iXQVC1KiAkYXij1d8GFX5Q/JpatyiRIlsG/fvmynm126dAmurq7Cp2kT6TqRBamPjw9MTU0xYcKEfH/s/0oOBaku8fLyQr9+/VC/fv1s7yNJEmJjY1G2bNl8TEaUdzhll6iAuX37tugIuSL3Rjyenp4fvY8cpsHqytRiIGNdblYUCgUKFy6MMmXKZHsBgOhLlpKSgj///BOHDh1C9erVoa+vr3F+3rx5gpLR5+bs7IxatWppHU9NTcWGDRvg4eEBhULBYpQKFI6QEhVAci/2dGWPT12gK1OLgYxR58zXXuavnvdfi/r6+ujSpQuWL1+OwoULC8lIlB2RI6Q5Nf1SKBQ4cuRIPqbRtGPHjhzPx8TEYPjw4bJ4D9IFenp6ePDgAWxsbDSOx8fHw8bGhs8jFUgcISUqYDK7rmYWe46Ojupir3fv3ti2bZvwYk+XGvHInSRJ6N27d45Ti+Xin3/+gY+PD0aNGoW6desCAM6ePYu5c+di0qRJSEtLw5gxYzB+/Hj873//E5yWvhQhISFo0KABChXS/EiUlpaGkydPokmTJgCAsWPHaq3lyy9BQUFCHjc32rdv/9H7iL4IqkskScry+bp79y4sLCwEJCLKexwhJSpg/Pz8MGzYMGzfvj3bYs/X11dosadrjXjkrE+fPrm6n5+fXx4n+bi6deti2rRpaNmypcbx/fv3Y8KECTh79iwCAwMxYsQIREdHC0pJXxqOSJEcODk5QaFQIDQ0FFWrVtW4QKJSqRATE4NWrVph06ZNAlMS5Q2OkBIVMOvXr8fYsWOznOKVWQSuW7dOaEEaFhaG2bNnZ3ve1dUVixYtysdEuksOhWZuhYeHZ7nuqWzZsggPDwcA1KxZEw8ePMjvaPQFy25EKj4+HiYmJgISZe38+fPYtGkTYmNjtbbu2rZtm6BU9LlkjjRfvnwZLVu21OiUb2BggHLlyqFTp06C0hHlLRakRAWMLhR7utSIhz6fKlWqYNasWfjzzz/Ve+W+ffsWs2bNQpUqVQAA9+7dy/G1QfS5dOzYEUDGdNIPp72rVCqEhYWhQYMGouJpyGxm07JlSxw4cAAtWrRAREQEHj16hA4dOoiOBwDYvHkz1q9fj4iICBgYGKBSpUro06eP1owIytqkSZMAZHTK79KlC9fR0xeFBSlRAaMLxZ5KpdJar/U+PT09pKWl5WMiyg9LliyBu7s7vvrqK1SvXh1AxqipSqXCrl27AAC3bt3CoEGDRMakL0TmejxJkmBmZgYjIyP1OQMDA9SrVw/9+/cXFU/DjBkzMH/+fAwePBhmZmZYuHAhypcvjx9//FH4Hr7p6eno1q0bNm/ejEqVKqkvLl26dAmbN2+Gt7c3li5divj4eISEhMimgJar3HR4JypoWJASFTC6UOzpUiMe+nwaNGiAmJgYrFu3DhEREQCAH374Ad27d4eZmRkAoFevXiIj0hfEz89P3e158eLFGlMk5SY6Ohpubm4AMorlpKQkKBQK/PLLL2jWrBmmTJkiLNvChQtx6NAh7NixA23atNE4t2PHDvTp0wcVK1aEv78/G9Vlo0iRIoiIiIC1tTWsrKxybAL17NmzfExGlD9YkBIVMLpQ7OnKHp/0+ZmZmWHAgAGiYxAByHi/XLduHcaOHQt7e3vRcbJlZWWFV69eAQBKly6NK1euwNHREQkJCUhOThaazc/PD3PmzNEqRgHA3d0ds2fPhre3N1q0aIGff/45/wPqgPnz56svys2fP59diemLwy67RAWMLnVdpS9PZGQkgoKC8PjxY6Snp2ucmzhxoqBU9CWrWrUqVq1ahXr16omOkq3u3bujTp06GD58OKZNm4bFixejXbt2OHjwIJycnPDPP/8Iy2ZkZISbN2+iTJkyWZ6/c+cOKlSogNevX6vXjhMRvY8FKRER5YsVK1Zg4MCBsLa2RokSJTRGARQKBS5evCgwHX2pdu7cidmzZ2Pp0qWoVq2a6DhZevbsGVJSUlCqVCmkp6dj9uzZOHnyJOzt7TFy5Eih60iLFCmCo0ePqteFfyg8PBxNmjQR3rtAzl6+fJnr+5qbm+dhEiIxWJASEVG+KFu2LAYNGgQfHx/RUYjUrKyskJycjLS0NBgYGGg0NwLku2YvJSUFS5YswZw5c/Dw4UNhOdzc3FCmTBksXbo0y/MDBgxAbGws9uzZk8/JdIdSqfzoNN3M7Ym4Ly4VRFxDSkRE+eL58+f44YcfRMcg0rBgwQLREbL15s0bTJ48GQcPHoSBgQFGjx6N9u3bw8/PD+PHj4eenh5++eUXoRnHjRsHFxcXxMfHY+TIkahSpQokScL169cxd+5cbN++HUFBQUIzyh2fH/rScYSUiIjyhZeXF7755hs2NSLKJR8fHyxfvhzNmzfHyZMn8eTJE/Tp0wenT5/G2LFj8cMPP0BPT090TPzzzz/w9vbWGE2WJAlFihTB8uXL0alTJ4HpiEjuOEJKRET5ws7ODhMmTMDp06fh6OgIfX19jfNDhw4VlIy+dCqVCoGBgbh+/TqAjEZH7u7uwou9zZs3Y82aNXB3d8eVK1dQvXp1pKWlITQ0VFadWDt06ICWLVti//79iIyMBABUqlQJLVu21JoCTdrCwsJQrVo1KJVKhIWF5Xjf7NbqEukyjpASEVG+KF++fLbnFAoFbt26lY9piDJERUWhdevWuHfvHipXrgwAuHnzJmxtbbF7925UrFhRWDYDAwPExMSgdOnSADI62p49exaOjo7CMn3o1KlTiI+P19j2JSAgAJMnT0ZSUhLat2+PxYsXZ7sVGWWsIX348CFsbGzU60mz+njONaRUULEgJSIioi9W69at1fuRFilSBAAQHx+Pnj17QqlUYvfu3cKy6enp4eHDhyhWrBiAjH18w8LCcry4k99cXV3h4uKiblYWHh6O2rVrw9PTEw4ODpgzZw5+/PFHTJ48WWxQGbtz5w7KlCkDhUKBO3fu5HjfsmXL5lMqovzDgpSIiIi+WCYmJupp5O8LDQ1Fw4YNkZiYKChZxsiZq6urenRx586daNasGUxMTDTut23bNhHxAAAlS5bEzp07UadOHQAZTY6Cg4Nx/PhxABnTjidNmoRr164Jy0hE8sY1pERElGeGDx+OadOmwcTEBMOHD8/xvvPmzcunVETvGBoa4tWrV1rHExMTYWBgICDRO56enhq3e/bsKShJ9p4/f47ixYurbwcHB8PV1VV9+5tvvkFcXJyIaDrr5s2bWLx4sXpNs4ODA3766Sf1lHKigoYFKRER5ZlLly7hxo0bcHJywqVLl7K9n5watNCXpU2bNvD29saqVatQt25dAMCZM2cwYMAAuLu7C83m5+cn9PFzo3jx4oiJiYGtrS1SU1Nx8eJFTJkyRX3+1atXWg3MKHtbt25F165dUadOHdSvXx8AcPr0aVSrVg0bNmxgx2IqkDhll4iI8pSenh4ePHgAGxsbAECXLl2waNEijVEVIlESEhLQu3dv7Ny5E4UKZVynT0tLg7u7O/z9/WFhYSE4obwNHDgQoaGh+P333xEYGIiAgADcv39fPbq8bt06LFiwAOfOnROcVDdUrFgRPXr0wNSpUzWOT5o0CX/99Reio6MFJSPKOyxIiYgoT73fQRIAzM3NcfnyZVSoUEFwMvqSpaenY86cOdixYwdSU1NRpkwZeHp6QqFQwMHBAXZ2dqIj6oSnT5+iY8eOOH78OExNTREQEIAOHTqoz3/33XeoV68efvvtN4EpdYexsTHCwsK0Xn+RkZGoUaMGkpOTBSUjyjucsktERPmK10FJDn777TdMnjwZzZs3h5GREfbs2QMLCwusXr1adDSdYm1tjZCQELx48QKmpqZae7du3rwZpqamgtLpHhcXFxw7dkyrID1+/DgaN24sKBVR3mJBSkREeUqhUGitEeWaURJtzZo1+OOPP/Djjz8CAA4dOgQ3NzesXLkSSqVScDrdk93U5sytdCh7O3bsUP+/u7s7fHx8cOHCBdSrVw9AxhrSzZs3a6zNJSpIOGWXiIjylC5sXUFfHkNDQ0RFRcHW1lZ9rHDhwoiKisJXX30lMBl9aXJ7AUShUEClUuVxGqL8xxFSIiLKU7qwdQV9edLS0lC4cGGNY/r6+nj79q2gRPSlSk9PFx2BSCiOkBIREdEX58OReyDr0XuO3BMR5S2OkBIREdEX58ORe4Cj9yQPSUlJCA4ORmxsLFJTUzXODR06VFAqorzDEVIiIiIiIhm4dOkSWrdujeTkZCQlJaFIkSJ4+vQpjI2NYWNjg1u3bomOSPTZsY0cEREREZEM/PLLL2jbti2eP38OIyMjnD59Gnfu3EHt2rXxv//9T3Q8ojzBEVIiIiIiIhmwtLTEmTNnULlyZVhaWuLUqVNwcHDAmTNn4OnpiRs3boiOSPTZcYSUiIiIiEgG9PX11dvA2NjYIDY2FkDGPq9xcXEioxHlGTY1IiIiIiKSAScnJ5w7dw729vZwdnbGxIkT8fTpU6xduxbVqlUTHY8oT3DKLhERERGRDJw/fx6vXr1C06ZN8fjxY3h4eODkyZOwt7fH6tWrUaNGDdERiT47FqRERERERIJJkoS4uDjY2NigcOHCouMQ5RuuISUiIiIiEkySJNjZ2XGtKH1xWJASEREREQmmVCphb2+P+Ph40VGI8hULUiIiIiIiGZg1axZGjRqFK1euiI5ClG+4hpSIiIiISAasrKyQnJyMtLQ0GBgYwMjISOP8s2fPBCUjyjvc9oWIiIiISAYWLFggOgJRvuMIKREREREREQnBNaRERERERDIRHR2N8ePHo1u3bnj8+DEAYO/evbh69argZER5gwUpEREREZEMBAcHw9HREWfOnMG2bduQmJgIAAgNDcWkSZMEpyPKGyxIiYiIiIhkYMyYMZg+fToOHjwIAwMD9fFmzZrh9OnTApMR5R0WpEREREREMhAeHo4OHTpoHbexscHTp08FJCLKeyxIiYiIiIhkwNLSEg8ePNA6funSJZQuXVpAIqK8x4KUiIiIiEgGunbtCh8fHzx8+BAKhQLp6ek4ceIERo4cCQ8PD9HxiPIEt30hIiIiIpKB1NRUDB48GP7+/lCpVChUqBBUKhW6d+8Of39/6OnpiY5I9NmxICUiIiIikpHY2FhcuXIFiYmJcHJygr29vehIRHmGBSkREREREREJUUh0ACIiIiIiAlQqFfz9/XH48GE8fvwY6enpGuePHDkiKBlR3mFBSkREREQkA8OGDYO/vz/c3NxQrVo1KBQK0ZGI8hyn7BIRERERyYC1tTXWrFmD1q1bi45ClG+47QsRERERkQwYGBjAzs5OdAyifMWClIiIiIhIBkaMGIGFCxeCExjpS8Ipu0REREREMtChQwcEBQWhSJEiqFq1KvT19TXOb9u2TVAyorzDpkZERERERDJgaWmJDh06iI5BlK84QkpERERERERCcA0pERERERERCcEpu0REREREgjg5OeV6v9GLFy/mcRqi/MeClIiIiIhIkPbt24uOQCQU15ASERERERGREFxDSkREREREREJwyi4RERERkQwolcoc15OqVKp8TEOUP1iQEhERERHJwD///KNx++3bt7h06RICAgIwZcoUQamI8hbXkBIRERERydjff/+NjRs3Yvv27aKjEH12LEiJiIiIiGTs1q1bqF69OhITE0VHIfrs2NSIiIiIiEimXr9+jUWLFqF06dKioxDlCa4hJSIiIiIS6MqVK6hWrRqsrKw0mhpJkoRXr17B2NgYf/31l8CERHmHU3aJiIiIiARSKpX45ptv4OXlhZSUFFhYWKiPFytWDN9++y2srKwEpyTKGyxIiYiIiIgEOnbsGPz8/LBlyxakp6ejU6dO8PLyQpMmTURHI8pzLEiJiIiIiGQgKSkJmzZtgr+/P44dOwY7Ozt4eXnB09MTJUqUEB2PKE+wICUiIiIikpmoqCj4+flh7dq1ePjwIVq1aoUdO3aIjkX02bEgJSIiIiKSoaSkJKxbtw6//vorEhISoFKpREci+uzYZZeIiIiISEZCQkKwevVqbN26FUqlEp07d4aXl5foWER5giOkRERERESC3b9/H/7+/vD390dUVBQaNGgALy8vdO7cGSYmJqLjEeUZjpASEREREQnk6uqKQ4cOwdraGh4eHujbty8qV64sOhZRvmBBSkREREQkkL6+PrZs2YI2bdpAT09PdByifMUpu0RERERERCSEUnQAIiIiIiIi+jKxICUiIiIiIiIhWJASERERERGRECxIiYiIiIiISAgWpERERP9R79690b59e/VtFxcX/Pzzz/me4+jRo1AoFEhISPikvzd58mTUrFkzTzIRERHlhAUpEREVSL1794ZCoYBCoYCBgQHs7OwwdepUpKWl5fljb9u2DdOmTcvVff9tEflvKRQKBAYG5stj5cbt27ehUChw+fJl0VGIiEgA7kNKREQFVqtWreDn54c3b95gz549GDx4MPT19fHrr79q3Tc1NRUGBgaf5XGLFCnyWb6OnH3O54uIiL5cHCElIqICy9DQECVKlEDZsmUxcOBANG/eHDt27ADwbprtb7/9hlKlSqFy5coAgLi4OHTu3BmWlpYoUqQI2rVrh9u3b6u/pkqlwvDhw2FpaYmiRYti9OjR+HBL7w+n7L558wY+Pj6wtbWFoaEh7OzssGrVKty+fRtNmzYFAFhZWUGhUKB3794AgPT0dMycORPly5eHkZERatSogS1btmg8zp49e1CpUiUYGRmhadOmGjmzUq5cOQBAhw4doFAo1LczrV27FuXKlYOFhQW6du2KV69eaXxPQ4YMwc8//wxra2u0bNkSAHDlyhW4urrC1NQUxYsXR69evfD06VP139u3bx8aNWqkfr7atGmD6Oho9fny5csDAJycnKBQKODi4gIgY+S4bt26MDExgaWlJRo2bIg7d+7k+P0REZHuYUFKRERfDCMjI6SmpqpvHz58GDdv3sTBgwexa9cuvH37Fi1btoSZmRmOHTuGEydOwNTUFK1atVL/vblz58Lf3x+rV6/G8ePH8ezZM/zzzz85Pq6HhwfWr1+PRYsW4fr161i+fDlMTU1ha2uLrVu3AgBu3ryJBw8eYOHChQCAmTNnYs2aNVi2bBmuXr2KX375BT179kRwcDCAjMK5Y8eOaNu2LS5fvox+/fphzJgxOeY4d+4cAMDPzw8PHjxQ3waA6OhoBAYGYteuXdi1axeCg4Mxa9Ysjb8fEBAAAwMDnDhxAsuWLUNCQgKaNWsGJycnnD9/Hvv27cOjR4/QuXNn9d9JSkrC8OHDcf78eRw+fBhKpRIdOnRAeno6AODs2bMAgEOHDuHBgwfYtm0b0tLS0L59ezg7OyMsLAynTp2Ct7c3FApFjt8fERHpIImIiKgA8vT0lNq1aydJkiSlp6dLBw8elAwNDaWRI0eqzxcvXlx68+aN+u+sXbtWqly5spSenq4+9ubNG8nIyEjav3+/JEmSVLJkSWn27Nnq82/fvpW++uor9WNJkiQ5OztLw4YNkyRJkm7evCkBkA4ePJhlzqCgIAmA9Pz5c/WxlJQUydjYWDp58qTGfb28vKRu3bpJkiRJv/76q/T1119rnPfx8dH6Wh8CIP3zzz8axyZNmiQZGxtLL1++VB8bNWqU9O2332p8T05OThp/b9q0aVKLFi00jsXFxUkApJs3b2b5+E+ePJEASOHh4ZIkSVJMTIwEQLp06ZL6PvHx8RIA6ejRo9l+H0REVDBwDSkRERVYu3btgqmpKd6+fYv09HR0794dkydPVp93dHTUWAcZGhqKqKgomJmZaXydlJQUREdH48WLF3jw4AG+/fZb9blChQqhTp06WtN2M12+fBl6enpwdnbOde6oqCgkJyfj+++/1ziempoKJycnAMD169c1cgBA/fr1c/0YHypXrpzG912yZEk8fvxY4z61a9fWuB0aGoqgoCCYmppqfb3o6GhUqlQJkZGRmDhxIs6cOYOnT5+qR0ZjY2NRrVq1LLMUKVIEvXv3RsuWLfH999+jefPm6Ny5M0qWLPmvvz8iIpInFqRERFRgNW3aFEuXLoWBgQFKlSqFQoU0f+2ZmJho3E5MTETt2rWxbt06ra9VrFixf5XByMjok/9OYmIiAGD37t0oXbq0xjlDQ8N/leNj9PX1NW4rFAp18Zgpq+erbdu2+P3337W+Xmbx2LZtW5QtWxYrVqxAqVKlkJ6ejmrVqmlMnc6Kn58fhg4din379mHjxo0YP348Dh48iHr16v2bb4+IiGSKBSkRERVYJiYmsLOzy/X9a9WqhY0bN8LGxgbm5uZZ3qdkyZI4c+YMmjRpAgBIS0vDhQsXUKtWrSzv7+joiPT0dAQHB6N58+Za5zNHaFUqlfrY119/DUNDQ8TGxmY7surg4KBu0JTp9OnTH/0e9fX1NR7rv6hVqxa2bt2KcuXKaRX7ABAfH4+bN29ixYoVaNy4MQDg+PHjGvfJ6vvP5OTkBCcnJ/z666+oX78+/v77bxakREQFDJsaERER/X89evSAtbU12rVrh2PHjiEmJgZHjx7F0KFDcffuXQDAsGHDMGvWLAQGBuLGjRsYNGhQjnuIlitXDp6enujbty8CAwPVX3PTpk0AgLJly0KhUGDXrl148uQJEhMTYWZmhpEjR+KXX35BQEAAoqOjcfHiRSxevBgBAQEAgAEDBiAyMhKjRo3CzZs38ffff8Pf3/+j32O5cuVw+PBhPHz4EM+fP/9Pz9fgwYPx7NkzdOvWDefOnUN0dDT279+PPn36QKVSwcrKCkWLFsWff/6JqKgoHDlyBMOHD9f4GjY2NjAyMlI3RHrx4gViYmLw66+/4tSpU7hz5w4OHDiAyMhIODg4/Ke8REQkPyxIiYiI/j9jY2OEhISgTJky6NixIxwcHODl5YWUlBT1iOmIESPQq1cveHp6on79+jAzM0OHDh1y/LpLly7F//3f/2HQoEGoUqUK+vfvj6SkJABA6dKlMWXKFIwZMwbFixfHkCFDAADTpk3DhAkTMHPmTDg4OKBVq1bYvXu3epuUMmXKYOvWrQgMDESNGjWwbNkyzJgx46Pf49y5c3Hw4EHY2tqq16P+W6VKlcKJEyegUqnQokULODo64ueff4alpSWUSiWUSiU2bNiACxcuoFq1avjll18wZ84cja9RqFAhLFq0CMuXL0epUqXQrl07GBsb48aNG+jUqRMqVaoEb29vDB48GD/++ON/yktERPKjkLLrwkBERERERESUhzhCSkREREREREKwICUiIiIiIiIhWJASERERERGRECxIiYiIiIiISAgWpERERERERCQEC1IiIiIiIiISggUpERERERERCcGClIiIiIiIiIRgQUpERERERERCsCAlIiIiIiIiIViQEhERERERkRD/D38hKiF31jyTAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"code","source":["y_true = real_values.cpu().numpy()\n","y_score = predictions.cpu().numpy()\n"],"metadata":{"id":"VqLA9Bbd0Rwq","executionInfo":{"status":"ok","timestamp":1709847186920,"user_tz":-60,"elapsed":212,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":71,"outputs":[]},{"cell_type":"code","source":["import sklearn.metrics as metrics"],"metadata":{"id":"DBQ03Nny1ZWI","executionInfo":{"status":"ok","timestamp":1709847279788,"user_tz":-60,"elapsed":200,"user":{"displayName":"frederic ADJEWA","userId":"10138573585753328398"}}},"execution_count":73,"outputs":[]}],"metadata":{"colab":{"provenance":[],"gpuType":"T4"},"kernelspec":{"display_name":"Python 3","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":"3.11.4"},"widgets":{"application/vnd.jupyter.widget-state+json":{"8a20d5de31134cb1b24a87830d313200":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_3e1c9d6ed4704a318b9ede6eca66222c","IPY_MODEL_1020e144088442c3a776916675b489ed","IPY_MODEL_e287b6a6f5eb48668e25640020cf0d49"],"layout":"IPY_MODEL_68e5bd24d1f3412ab61cee81de50325e"}},"3e1c9d6ed4704a318b9ede6eca66222c":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_fe7281dad99e46f68ae204a130d7f033","placeholder":"​","style":"IPY_MODEL_0b8d6d95505b4d0883a8e6dc5c9317f8","value":"100%"}},"1020e144088442c3a776916675b489ed":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_c9f48ff91521408ead323f1db78f9ac6","max":18,"min":0,"orientation":"horizontal","style":"IPY_MODEL_30dd5c8f0e7b402b83b75562797edf7b","value":18}},"e287b6a6f5eb48668e25640020cf0d49":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_86d3c138101a42c49ad32d9a2dd5d2be","placeholder":"​","style":"IPY_MODEL_400b548664a64133a450e73ce18e7ef9","value":" 18/18 [00:00&lt;00:00, 28.90it/s]"}},"68e5bd24d1f3412ab61cee81de50325e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"fe7281dad99e46f68ae204a130d7f033":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0b8d6d95505b4d0883a8e6dc5c9317f8":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"c9f48ff91521408ead323f1db78f9ac6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"30dd5c8f0e7b402b83b75562797edf7b":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"86d3c138101a42c49ad32d9a2dd5d2be":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"400b548664a64133a450e73ce18e7ef9":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"f2d30bb60b85408eb604e733d0b5bcdd":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_d447fcb72c9e465f93941d7accb728c6","IPY_MODEL_c9907a1f6220435a993e700424db9d08","IPY_MODEL_7ed64059835c48ffa503145344530bf9"],"layout":"IPY_MODEL_e1dcd6d6acdc417ba7b5e8e03deea5f8"}},"d447fcb72c9e465f93941d7accb728c6":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_b1d4cd76da7444479e818c598ea873fb","placeholder":"​","style":"IPY_MODEL_42bb8dcbcca44fa5be8eb39549bfd2fd","value":"Processing...: 100%"}},"c9907a1f6220435a993e700424db9d08":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_ae957be12e16484fbce6ac90a61b5aa2","max":157800,"min":0,"orientation":"horizontal","style":"IPY_MODEL_8aedad3dcfd34b3bad0bfb156b76bbc0","value":157800}},"7ed64059835c48ffa503145344530bf9":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_6b982e3ffd7546d7a07a4fe71e722ff6","placeholder":"​","style":"IPY_MODEL_3ebeb2efcf61473e927c44d70c9d101a","value":" 157800/157800 [00:57&lt;00:00, 3065.08it/s]"}},"e1dcd6d6acdc417ba7b5e8e03deea5f8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"b1d4cd76da7444479e818c598ea873fb":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"42bb8dcbcca44fa5be8eb39549bfd2fd":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"ae957be12e16484fbce6ac90a61b5aa2":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"8aedad3dcfd34b3bad0bfb156b76bbc0":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"6b982e3ffd7546d7a07a4fe71e722ff6":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"3ebeb2efcf61473e927c44d70c9d101a":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"696c9c5f52ba43cc84603075cf4ce84c":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_8740e542c238400da65d6035520b0a29","IPY_MODEL_32f02aa3b18b4d918faa9b1ceaf89117","IPY_MODEL_add81f2d8af2417da44ad5b8dce93144"],"layout":"IPY_MODEL_72186737c75a4e3da15b00e0687963f5"}},"8740e542c238400da65d6035520b0a29":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_4ed856be1f71437ba69bf13bd6f303e3","placeholder":"​","style":"IPY_MODEL_c7eaeffd5717441e8c2fa471b921862d","value":"100%"}},"32f02aa3b18b4d918faa9b1ceaf89117":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_c25db8854b9341b2917b7064030fd2a4","max":157800,"min":0,"orientation":"horizontal","style":"IPY_MODEL_ee52a6cfd101463ab4d7eb77f1c2bfd3","value":157800}},"add81f2d8af2417da44ad5b8dce93144":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_1b9a8d1d50eb4001999a48048f636c9a","placeholder":"​","style":"IPY_MODEL_91898ddf1de2441d8c8063cce8ec5790","value":" 157800/157800 [00:01&lt;00:00, 84825.64it/s]"}},"72186737c75a4e3da15b00e0687963f5":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"4ed856be1f71437ba69bf13bd6f303e3":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"c7eaeffd5717441e8c2fa471b921862d":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"c25db8854b9341b2917b7064030fd2a4":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"ee52a6cfd101463ab4d7eb77f1c2bfd3":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"1b9a8d1d50eb4001999a48048f636c9a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"91898ddf1de2441d8c8063cce8ec5790":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"06e2b873bc16472c90bfa32ce28da7cb":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_f05497b3b295486f8e22eebadd99ce0a","IPY_MODEL_bb81138f909643eaa4526f68508406d8","IPY_MODEL_45501a8a73434dab9bd41aab461a17cd"],"layout":"IPY_MODEL_b0cca18bf935490cbb8702084a695102"}},"f05497b3b295486f8e22eebadd99ce0a":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_0241ed30d49142638058337dedd5cf7b","placeholder":"​","style":"IPY_MODEL_7f942c80f0a648418b08020b08ff03e2","value":"config.json: 100%"}},"bb81138f909643eaa4526f68508406d8":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_62e5bc69dde24033bd9a45967a8160ae","max":570,"min":0,"orientation":"horizontal","style":"IPY_MODEL_129400eaf6ef4533b6e2e585376f38b0","value":570}},"45501a8a73434dab9bd41aab461a17cd":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_9b23aaf31f444437b2ca8f12a881801a","placeholder":"​","style":"IPY_MODEL_054a2c4587ac4f00ae31fe703226120f","value":" 570/570 [00:00&lt;00:00, 9.84kB/s]"}},"b0cca18bf935490cbb8702084a695102":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"0241ed30d49142638058337dedd5cf7b":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"7f942c80f0a648418b08020b08ff03e2":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"62e5bc69dde24033bd9a45967a8160ae":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"129400eaf6ef4533b6e2e585376f38b0":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"9b23aaf31f444437b2ca8f12a881801a":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"054a2c4587ac4f00ae31fe703226120f":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"b71fad6ac35f42c7ae0e50b9f099cff4":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_4a90fc00bfcd44c78e9a976a7dc727c0","IPY_MODEL_29ff2a0f21e54e27a2a0f0ec6982212a","IPY_MODEL_1277655feaf448d4a85e6dfabc572e14"],"layout":"IPY_MODEL_4092f9403bbf427a89e1620478dd1bc7"}},"4a90fc00bfcd44c78e9a976a7dc727c0":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_95cccefcc9514edc87c975b58d93d313","placeholder":"​","style":"IPY_MODEL_110a08aea6444b76be86e0075c593537","value":"100%"}},"29ff2a0f21e54e27a2a0f0ec6982212a":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_d93b85c922e445f5937327f134d8c024","max":3,"min":0,"orientation":"horizontal","style":"IPY_MODEL_9b22d3170f8946a38cd089d0b17275a3","value":3}},"1277655feaf448d4a85e6dfabc572e14":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_cbb55edeaac64149b9e266dac2b87a4e","placeholder":"​","style":"IPY_MODEL_93277f5ee14e4e7080e51523cd967d99","value":" 3/3 [1:12:44&lt;00:00, 1455.66s/it]"}},"4092f9403bbf427a89e1620478dd1bc7":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"95cccefcc9514edc87c975b58d93d313":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"110a08aea6444b76be86e0075c593537":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"d93b85c922e445f5937327f134d8c024":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"9b22d3170f8946a38cd089d0b17275a3":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"cbb55edeaac64149b9e266dac2b87a4e":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"93277f5ee14e4e7080e51523cd967d99":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"f6869f5ea0d64209a2a74e0867517572":{"model_module":"@jupyter-widgets/controls","model_name":"HBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HBoxView","box_style":"","children":["IPY_MODEL_79763fffaa78413499409709932f6e8d","IPY_MODEL_e04ab75395a7476d8ff30ebc8d6c4eda","IPY_MODEL_0f72fe4629ad4f6488ba1d5ec16f5355"],"layout":"IPY_MODEL_733a26b6134b42f7846455d0e84b82da"}},"79763fffaa78413499409709932f6e8d":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_615f08ee003a40a39829d48491c3d2ee","placeholder":"​","style":"IPY_MODEL_ed9431f0534c4c10b84623d543edc634","value":"Predictions: 100%"}},"e04ab75395a7476d8ff30ebc8d6c4eda":{"model_module":"@jupyter-widgets/controls","model_name":"FloatProgressModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"FloatProgressModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"ProgressView","bar_style":"success","description":"","description_tooltip":null,"layout":"IPY_MODEL_29062113c9ff41d1a9e06b4af32e3667","max":740,"min":0,"orientation":"horizontal","style":"IPY_MODEL_be37fef4668b4cffa3994e2ba02dd306","value":740}},"0f72fe4629ad4f6488ba1d5ec16f5355":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_f67f6029d10f47bd8ba30b1f21311bd8","placeholder":"​","style":"IPY_MODEL_f22bfddae0494c94bb410a2db5c452ac","value":" 740/740 [02:25&lt;00:00,  4.36it/s]"}},"733a26b6134b42f7846455d0e84b82da":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"615f08ee003a40a39829d48491c3d2ee":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"ed9431f0534c4c10b84623d543edc634":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}},"29062113c9ff41d1a9e06b4af32e3667":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"be37fef4668b4cffa3994e2ba02dd306":{"model_module":"@jupyter-widgets/controls","model_name":"ProgressStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"ProgressStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","bar_color":null,"description_width":""}},"f67f6029d10f47bd8ba30b1f21311bd8":{"model_module":"@jupyter-widgets/base","model_name":"LayoutModel","model_module_version":"1.2.0","state":{"_model_module":"@jupyter-widgets/base","_model_module_version":"1.2.0","_model_name":"LayoutModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"LayoutView","align_content":null,"align_items":null,"align_self":null,"border":null,"bottom":null,"display":null,"flex":null,"flex_flow":null,"grid_area":null,"grid_auto_columns":null,"grid_auto_flow":null,"grid_auto_rows":null,"grid_column":null,"grid_gap":null,"grid_row":null,"grid_template_areas":null,"grid_template_columns":null,"grid_template_rows":null,"height":null,"justify_content":null,"justify_items":null,"left":null,"margin":null,"max_height":null,"max_width":null,"min_height":null,"min_width":null,"object_fit":null,"object_position":null,"order":null,"overflow":null,"overflow_x":null,"overflow_y":null,"padding":null,"right":null,"top":null,"visibility":null,"width":null}},"f22bfddae0494c94bb410a2db5c452ac":{"model_module":"@jupyter-widgets/controls","model_name":"DescriptionStyleModel","model_module_version":"1.5.0","state":{"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"DescriptionStyleModel","_view_count":null,"_view_module":"@jupyter-widgets/base","_view_module_version":"1.2.0","_view_name":"StyleView","description_width":""}}}},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0}