diff --git a/author.json b/author.json
index 3d4a531ce..f8d05727f 100644
--- a/author.json
+++ b/author.json
@@ -1,4 +1,8 @@
 {
-  "name": "",
-  "entry_number": ""
+  "name": "Aditya Saxena",
+  "entry_number": "2022AM11218",
+  "discord_id" : "adityaaa2511",
+  "phone no": "9711366368",
+  "email id": "am1221218@iitd.ac.in",
+  "email id": "aditya.saxena2511@gmail.com",
 }
diff --git a/machine-learning/week1/FINAL.ipynb b/machine-learning/week1/FINAL.ipynb
new file mode 100644
index 000000000..4aa8a58c5
--- /dev/null
+++ b/machine-learning/week1/FINAL.ipynb
@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"18OKK3KafYn158Y8sChWQ3xeY9U8QMx8E","timestamp":1688217248266},{"file_id":"1j-Pa7MK6Vt9UY7t_OA403w_sXVn0zPrU","timestamp":1688134402435},{"file_id":"1ggLWLtMhhmbUOU_VtGmJagGqZW2yccTZ","timestamp":1688106038296}],"authorship_tag":"ABX9TyOteBJ9ImvHg0G3VqsqH81L"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["### IMPORTING LIBRARIES"],"metadata":{"id":"Q2Bi-d-fJJIn"}},{"cell_type":"code","source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sb\n","import numpy as np\n","import copy,math\n","import matplotlib.pyplot as plt"],"metadata":{"id":"NvocX13DAE87"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["laptop=pd.read_csv('laptopPrice.csv')"],"metadata":{"id":"Xk29AsVXKZTN"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["laptop.columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f-f7-kgSzh4e","executionInfo":{"status":"ok","timestamp":1688563800913,"user_tz":-330,"elapsed":4,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"546cbe42-60a7-403c-8125-fa0f440f7635"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['brand', 'processor_brand', 'processor_name', 'processor_gnrtn',\n","       'ram_gb', 'ram_type', 'ssd', 'hdd', 'os', 'os_bit', 'graphic_card_gb',\n","       'weight', 'warranty', 'Touchscreen', 'msoffice', 'Price', 'rating',\n","       'Number of Ratings', 'Number of Reviews'],\n","      dtype='object')"]},"metadata":{},"execution_count":77}]},{"cell_type":"markdown","source":["### DATA CLEANING"],"metadata":{"id":"XOAI3qOZJSfa"}},{"cell_type":"code","source":["laptop[\"ram_gb\"] = laptop[\"ram_gb\"].str.replace('GB', '')\n","laptop[\"ssd\"] = laptop[\"ssd\"].str.replace('GB', '')\n","laptop[\"hdd\"] = laptop[\"hdd\"].str.replace('GB', '')\n","laptop[\"graphic_card_gb\"] = laptop[\"graphic_card_gb\"].str.replace('GB', '')"],"metadata":{"id":"Q1Pz3U25zUgc"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["laptopprice=laptop[['brand', 'processor_name', 'processor_gnrtn',\n","       'ram_gb', 'ssd', 'hdd', 'graphic_card_gb','Price',]]\n","laptopprice"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"7JzkNCcK5IKP","executionInfo":{"status":"ok","timestamp":1688563804802,"user_tz":-330,"elapsed":392,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"5065c166-4698-4fa1-ac17-59db638c6054"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      brand processor_name processor_gnrtn ram_gb    ssd    hdd  \\\n","0      ASUS        Core i3            10th     4      0   1024    \n","1    Lenovo        Core i3            10th     4      0   1024    \n","2    Lenovo        Core i3            10th     4      0   1024    \n","3      ASUS        Core i5            10th     8    512      0    \n","4      ASUS   Celeron Dual   Not Available     4      0    512    \n","..      ...            ...             ...    ...    ...    ...   \n","813    ASUS        Ryzen 9   Not Available     4   1024      0    \n","814    ASUS        Ryzen 9   Not Available     4   1024      0    \n","815    ASUS        Ryzen 9   Not Available     4   1024      0    \n","816    ASUS        Ryzen 9   Not Available     4   1024      0    \n","817  Lenovo        Ryzen 5            10th     8    512      0    \n","\n","    graphic_card_gb   Price  \n","0                0    34649  \n","1                0    38999  \n","2                0    39999  \n","3                2    69990  \n","4                0    26990  \n","..              ...     ...  \n","813              0   135990  \n","814              0   144990  \n","815              4   149990  \n","816              4   142990  \n","817              0    57490  \n","\n","[818 rows x 8 columns]"],"text/html":["\n","  <div id=\"df-bb3f3fd7-ddf6-49ce-9bc0-3b45117a9090\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>brand</th>\n","      <th>processor_name</th>\n","      <th>processor_gnrtn</th>\n","      <th>ram_gb</th>\n","      <th>ssd</th>\n","      <th>hdd</th>\n","      <th>graphic_card_gb</th>\n","      <th>Price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>ASUS</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>34649</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Lenovo</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>38999</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Lenovo</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>39999</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ASUS</td>\n","      <td>Core i5</td>\n","      <td>10th</td>\n","      <td>8</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>69990</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ASUS</td>\n","      <td>Celeron Dual</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>26990</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>813</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>135990</td>\n","    </tr>\n","    <tr>\n","      <th>814</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>144990</td>\n","    </tr>\n","    <tr>\n","      <th>815</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>149990</td>\n","    </tr>\n","    <tr>\n","      <th>816</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>142990</td>\n","    </tr>\n","    <tr>\n","      <th>817</th>\n","      <td>Lenovo</td>\n","      <td>Ryzen 5</td>\n","      <td>10th</td>\n","      <td>8</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>57490</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>818 rows × 8 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bb3f3fd7-ddf6-49ce-9bc0-3b45117a9090')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    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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","  </div>\n","  "]},"metadata":{},"execution_count":79}]},{"cell_type":"markdown","source":["### BONUS TASK(DATA ANALYSIS)"],"metadata":{"id":"CWc94GHrJkON"}},{"cell_type":"code","source":["laptopprice.describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"RdEV2YSn5jW_","executionInfo":{"status":"ok","timestamp":1688563824764,"user_tz":-330,"elapsed":9,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"ed00f51d-0392-4f2c-9d6e-aefdf45416d0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["               Price\n","count     818.000000\n","mean    77030.700489\n","std     45090.184043\n","min     16990.000000\n","25%     46840.000000\n","50%     64990.000000\n","75%     89918.000000\n","max    441990.000000"],"text/html":["\n","  <div id=\"df-be6be986-fbef-43fb-bee0-b1486593199d\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>818.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>77030.700489</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>45090.184043</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>16990.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>46840.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>64990.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>89918.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>441990.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-be6be986-fbef-43fb-bee0-b1486593199d')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\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","    [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-be6be986-fbef-43fb-bee0-b1486593199d button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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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","  </div>\n","  "]},"metadata":{},"execution_count":80}]},{"cell_type":"markdown","source":["## HISTOGRAMs"],"metadata":{"id":"z6ggPrPxJrTb"}},{"cell_type":"code","source":["laptopprice['brand'].value_counts()\n","fig_dims = (20, 8)\n","fig, ax = plt.subplots(figsize=fig_dims)\n","sb.countplot(x=\"brand\", data=laptopprice, ax=ax)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":546},"id":"OY0OkuSs5-No","executionInfo":{"status":"ok","timestamp":1688563834876,"user_tz":-330,"elapsed":1866,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"94ae051b-9906-4c54-971b-50d7f863dfe4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='brand', ylabel='count'>"]},"metadata":{},"execution_count":81},{"output_type":"display_data","data":{"text/plain":["<Figure size 2000x800 with 1 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Histogram of distribution of prices between different price ranges\n","features = laptopprice.drop( columns = [\"Price\"])\n","price = laptopprice[\"Price\"]\n","\n","plt.hist( price, bins = 20, edgecolor='orange' )\n","plt.title(\"Prices\")\n","plt.xlabel(\"Price range\")\n","plt.ylabel(\"No of products\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"X83KHfhISLrz","executionInfo":{"status":"ok","timestamp":1688564683875,"user_tz":-330,"elapsed":459,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"3768dbc7-6e02-4faf-9c09-a7d09fb7d4ac"},"execution_count":null,"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":["laptopprice= laptopprice[laptopprice['Price'] <= 250000]\n","features = laptopprice.drop( columns = [\"Price\"])\n","price = laptopprice[\"Price\"]\n","\n","plt.hist( price , bins = 20 , edgecolor='orange' )\n","plt.title(\"Prices\")\n","plt.xlabel(\"Price range\")\n","plt.ylabel(\"No of products\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"bSkAfmM-Sb0a","executionInfo":{"status":"ok","timestamp":1688564712595,"user_tz":-330,"elapsed":477,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"62f31c4f-0b43-4554-bbd4-aecbef400585"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkkAAAHHCAYAAACr0swBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA+80lEQVR4nO3deVhV5f7//9cGZIMoIA4gBYriVA45R5pZckIrRzqpx8rMtEHUpCytzOHk0czMMtNGtcGmb2ppZcdwNjI1qRwi9dCBSjAzwCG3DPfvD3/uT/uwLMi93Rt8Pq5rXRdr3fe6eW9Wwqu17rWWzRhjBAAAABd+3i4AAADAFxGSAAAALBCSAAAALBCSAAAALBCSAAAALBCSAAAALBCSAAAALBCSAAAALBCSAAAALBCSAFQJt912mxo2bOjtMgBUIYQkAD5h8eLFstlsziUoKEhNmzZVSkqK8vLyvF0egAtQgLcLAIDfmzZtmuLi4nTy5Elt3rxZCxYs0EcffaRdu3apevXqZ93vxRdfVGlp6XmsFEBVR0gC4FN69eqlDh06SJLuuOMO1a5dW3PmzNH777+vwYMHl+l//PhxhYSEqFq1aue7VABVHJfbAPi0a665RpKUlZWl2267TTVq1NCBAwd03XXXqWbNmhoyZIgk6zlJpaWlevrpp9WqVSsFBQWpbt266tmzp7Zv3+7S7/XXX1f79u0VHBysiIgIDRo0SDk5OS599u3bp+TkZEVFRSkoKEgXX3yxBg0apIKCAs99eABexZkkAD7twIEDkqTatWtLkoqLi5WUlKSuXbtq9uzZf3gJbvjw4Vq8eLF69eqlO+64Q8XFxdq0aZM+//xz59mq6dOna9KkSbrpppt0xx136Oeff9a8efPUrVs37dy5U+Hh4Tp16pSSkpLkcDg0evRoRUVF6ccff9SqVauUn5+vsLAwz/8gAJx/BgB8wKJFi4wk8+mnn5qff/7Z5OTkmLfeesvUrl3bBAcHmx9++MEMHTrUSDITJkwos//QoUNNgwYNnOtr1641ksyYMWPK9C0tLTXGGPP9998bf39/M336dJf2b775xgQEBDi379y500gy7777rhs/MQBfx+U2AD4lMTFRdevWVUxMjAYNGqQaNWpo+fLluuiii5x97r777j8d57333pPNZtPkyZPLtNlsNknSsmXLVFpaqptuukmHDx92LlFRUWrSpInWrVsnSc4zRZ988olOnDjhjo8JoBLgchsAnzJ//nw1bdpUAQEBioyMVLNmzeTn93//PxcQEKCLL774T8c5cOCAoqOjFRERcdY++/btkzFGTZo0sWw/Mxk8Li5OqampmjNnjt544w1deeWV6tOnj26++WYutQFVGCEJgE/p1KmTc76QFbvd7hKazkVpaalsNps+/vhj+fv7l2mvUaOG8+snn3xSt912m95//339+9//1pgxYzRjxgx9/vnn5QptACofQhKAKqlx48b65JNPdOTIkbOeTWrcuLGMMYqLi1PTpk3/dMxWrVqpVatWeuSRR/TZZ5+pS5cuWrhwoR577DF3lw/ABzAnCUCVlJycLGOMpk6dWqbNGCNJGjBggPz9/TV16lTntt/3+eWXXyRJhYWFKi4udmlv1aqV/Pz85HA4PPQJAHgbZ5IAVElXX321brnlFj3zzDPat2+fevbsqdLSUm3atElXX321UlJS1LhxYz322GOaOHGivv/+e/Xr1081a9ZUVlaWli9frpEjR+r+++/X2rVrlZKSor///e9q2rSpiouL9dprr8nf31/Jycne/qgAPISQBKDKWrRokVq3bq2XX35Z48ePV1hYmDp06KArrrjC2WfChAlq2rSpnnrqKedZp5iYGF177bXq06ePJKlNmzZKSkrSypUr9eOPP6p69epq06aNPv74Y11++eVe+WwAPM9m/vccMwAAAJiTBAAAYIWQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYIHnJOn0+5t++ukn1axZ0/l2cAAA4NuMMTp69Kiio6Pd9k7H3yMkSfrpp58UExPj7TIAAMBfkJOT45EXTROSJNWsWVPS6R9yaGiol6sBAADlUVhYqJiYGOffcXcjJEnOS2yhoaGEJAAAKhlPTZVh4jYAAIAFQhIAAIAFQhIAAIAFQhIAAIAFr4akjRs3qnfv3oqOjpbNZtOKFSvK9Nm7d6/69OmjsLAwhYSEqGPHjsrOzna2nzx5UqNGjVLt2rVVo0YNJScnKy8v7zx+CgAAUBV5NSQdP35cbdq00fz58y3bDxw4oK5du6p58+Zav369vv76a02aNElBQUHOPuPGjdPKlSv17rvvasOGDfrpp580YMCA8/URAABAFWUzxhhvFyGdvn1v+fLl6tevn3PboEGDVK1aNb322muW+xQUFKhu3bpaunSpbrzxRknSt99+qxYtWig9PV2XX355ub53YWGhwsLCVFBQwCMAAACoJDz999tn5ySVlpbqww8/VNOmTZWUlKR69eqpc+fOLpfkduzYoaKiIiUmJjq3NW/eXLGxsUpPTz/r2A6HQ4WFhS4LAADA7/lsSDp06JCOHTummTNnqmfPnvr3v/+t/v37a8CAAdqwYYMkKTc3V4GBgQoPD3fZNzIyUrm5uWcde8aMGQoLC3MuvJIEAAD8L58NSaWlpZKkvn37aty4cbrssss0YcIE3XDDDVq4cOE5jT1x4kQVFBQ4l5ycHHeUDAAAqhCffS1JnTp1FBAQoEsuucRle4sWLbR582ZJUlRUlE6dOqX8/HyXs0l5eXmKioo669h2u112u90jdQMAgKrBZ88kBQYGqmPHjsrMzHTZ/t1336lBgwaSpPbt26tatWpKS0tztmdmZio7O1sJCQnntV4AAFC1ePVM0rFjx7R//37nelZWljIyMhQREaHY2FiNHz9eAwcOVLdu3XT11Vdr9erVWrlypdavXy9JCgsL0/Dhw5WamqqIiAiFhoZq9OjRSkhIKPedbQAAAFa8+giA9evX6+qrry6zfejQoVq8eLEk6ZVXXtGMGTP0ww8/qFmzZpo6dar69u3r7Hvy5Endd999evPNN+VwOJSUlKTnnnvuDy+3/S8eAQAAQOXj6b/fPvOcJG8iJP2P49mS47BnxrbXkUJiPTM2AOCC4um/3z47cRtecjxbJStbyL/0hEeGL/GrLv/eewlKAACfR0iCK8dh+Zee0Njs+7Tf4d7nR8Xbc/R07JOnz1IRkgAAPo6QBEv7HTHa/Vu8t8sAAMBrfPYRAAAAAN5ESAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALBASAIAALAQ4O0CcAEq2OuZce11pJBYz4wNALjgEJJw3tQN+FUlxib/9Js9Mn6JX3X5995LUAIAuIVXQ9LGjRv1xBNPaMeOHTp48KCWL1+ufv36Wfa966679Pzzz+upp57Svffe69x+5MgRjR49WitXrpSfn5+Sk5P19NNPq0aNGufnQ6DcQv2Pyd9mNDb7Pu13xLh17Hh7jp6OfVJyHCYkAQDcwqsh6fjx42rTpo1uv/12DRgw4Kz9li9frs8//1zR0dFl2oYMGaKDBw9qzZo1Kioq0rBhwzRy5EgtXbrUk6XjHOx3xGj3b/HeLgMAgD/k1ZDUq1cv9erV6w/7/Pjjjxo9erQ++eQTXX/99S5te/fu1erVq7Vt2zZ16NBBkjRv3jxdd911mj17tmWoAgAAKA+fvruttLRUt9xyi8aPH69LL720THt6errCw8OdAUmSEhMT5efnp61bt551XIfDocLCQpcFAADg93w6JD3++OMKCAjQmDFjLNtzc3NVr149l20BAQGKiIhQbm7uWcedMWOGwsLCnEtMjHvnxwAAgMrPZ0PSjh079PTTT2vx4sWy2WxuHXvixIkqKChwLjk5OW4dHwAAVH4+G5I2bdqkQ4cOKTY2VgEBAQoICNB///tf3XfffWrYsKEkKSoqSocOHXLZr7i4WEeOHFFUVNRZx7bb7QoNDXVZAAAAfs9nn5N0yy23KDEx0WVbUlKSbrnlFg0bNkySlJCQoPz8fO3YsUPt27eXJK1du1alpaXq3Lnzea8ZAABUHV4NSceOHdP+/fud61lZWcrIyFBERIRiY2NVu3Ztl/7VqlVTVFSUmjVrJklq0aKFevbsqREjRmjhwoUqKipSSkqKBg0axJ1tAADgnHj1ctv27dvVtm1btW3bVpKUmpqqtm3b6tFHHy33GG+88YaaN2+uHj166LrrrlPXrl31wgsveKpkAABwgfDqmaTu3bvLGFPu/t9//32ZbRERETw4EgAAuJ3PTtwGAADwJkISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABUISAACABa+GpI0bN6p3796Kjo6WzWbTihUrnG1FRUV68MEH1apVK4WEhCg6Olq33nqrfvrpJ5cxjhw5oiFDhig0NFTh4eEaPny4jh07dp4/CQAAqGq8GpKOHz+uNm3aaP78+WXaTpw4oS+//FKTJk3Sl19+qWXLlikzM1N9+vRx6TdkyBDt3r1ba9as0apVq7Rx40aNHDnyfH0EAABQRQV485v36tVLvXr1smwLCwvTmjVrXLY9++yz6tSpk7KzsxUbG6u9e/dq9erV2rZtmzp06CBJmjdvnq677jrNnj1b0dHRHv8MAACgaqpUc5IKCgpks9kUHh4uSUpPT1d4eLgzIElSYmKi/Pz8tHXrVi9VCQAAqgKvnkmqiJMnT+rBBx/U4MGDFRoaKknKzc1VvXr1XPoFBAQoIiJCubm5Zx3L4XDI4XA41wsLCz1TNAAAqLQqxZmkoqIi3XTTTTLGaMGCBec83owZMxQWFuZcYmJi3FAlAACoSnw+JJ0JSP/973+1Zs0a51kkSYqKitKhQ4dc+hcXF+vIkSOKioo665gTJ05UQUGBc8nJyfFY/QAAoHLy6cttZwLSvn37tG7dOtWuXdulPSEhQfn5+dqxY4fat28vSVq7dq1KS0vVuXPns45rt9tlt9s9WjsAAKjcvBqSjh07pv379zvXs7KylJGRoYiICNWvX1833nijvvzyS61atUolJSXOeUYREREKDAxUixYt1LNnT40YMUILFy5UUVGRUlJSNGjQIO5sAwAA58SrIWn79u26+uqrneupqamSpKFDh2rKlCn64IMPJEmXXXaZy37r1q1T9+7dJUlvvPGGUlJS1KNHD/n5+Sk5OVnPPPPMeakfAABUXV4NSd27d5cx5qztf9R2RkREhJYuXerOsgAAAHx/4jYAAIA3EJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsnHNIKikpUUZGhn799Vd31AMAAOATKhyS7r33Xr388suSTgekq666Su3atVNMTIzWr1/v7voAAAC8osIh6f/9v/+nNm3aSJJWrlyprKwsffvttxo3bpwefvhhtxcIAADgDRUOSYcPH1ZUVJQk6aOPPtLf//53NW3aVLfffru++eYbtxcIAADgDRUOSZGRkdqzZ49KSkq0evVq/e1vf5MknThxQv7+/m4vEAAAwBsCKrrDsGHDdNNNN6l+/fqy2WxKTEyUJG3dulXNmzd3e4EAAADeUOEzSVOmTNFLL72kkSNHasuWLbLb7ZIkf39/TZgwoUJjbdy4Ub1791Z0dLRsNptWrFjh0m6M0aOPPqr69esrODhYiYmJ2rdvn0ufI0eOaMiQIQoNDVV4eLiGDx+uY8eOVfRjAQAAuKjwmaRXX31VAwcOdIajMwYPHqy33nqrQmMdP35cbdq00e23364BAwaUaZ81a5aeeeYZLVmyRHFxcZo0aZKSkpK0Z88eBQUFSZKGDBmigwcPas2aNSoqKtKwYcM0cuRILV26tKIfDVVBwV73j1nikPztf97vr7DXkUJiPTM2AOCc/KXLbT179lS9evVcth89elTDhg3TrbfeWu6xevXqpV69elm2GWM0d+5cPfLII+rbt6+k0wEtMjJSK1as0KBBg7R3716tXr1a27ZtU4cOHSRJ8+bN03XXXafZs2crOjq6oh8PlVTdgF9VYmzyT7/Z7WOXGD/520rdPq4klfhVl3/vvQQlAPBBFQ5JxhjZbLYy23/44QeFhYW5pShJysrKUm5urnPOkySFhYWpc+fOSk9P16BBg5Senq7w8HBnQJKkxMRE+fn5aevWrerfv7/b6oFvC/U/Jn+b0djs+7TfEeO2cbvX2K7x9V93+7iSFG/P0dOxT0qOw4QkAPBB5Q5Jbdu2lc1mk81mU48ePRQQ8H+7lpSUKCsrSz179nRbYbm5uZJO3033e5GRkc623NzcMme0AgICFBER4exjxeFwyOFwONcLCwvdVTa8bL8jRrt/i3fbeI3tOR4ZFwDg+8odkvr16ydJysjIUFJSkmrUqOFsCwwMVMOGDZWcnOz2Aj1hxowZmjp1qrfLAAAAPqzcIWny5MmSpIYNG2rQoEFlJm6725kHVubl5al+/frO7Xl5ebrsssucfQ4dOuSyX3FxsY4cOeLc38rEiROVmprqXC8sLFRMjHsvpQAAgMqtwo8AuOSSS5SRkVFm+9atW7V9+3Z31CRJiouLU1RUlNLS0pzbCgsLtXXrViUkJEiSEhISlJ+frx07djj7rF27VqWlpercufNZx7bb7QoNDXVZAAAAfq/CIWnUqFHKyckps/3HH3/UqFGjKjTWsWPHlJGR4QxdWVlZysjIUHZ2tmw2m+6991499thj+uCDD/TNN9/o1ltvVXR0tPPSX4sWLdSzZ0+NGDFCX3zxhbZs2aKUlBQNGjSIO9sAAMA5qfDdbXv27FG7du3KbG/btq327NlTobG2b9+uq6++2rl+5hLY0KFDtXjxYj3wwAM6fvy4Ro4cqfz8fHXt2lWrV692PiNJkt544w2lpKSoR48e8vPzU3Jysp555pmKfiwAAAAXFQ5JdrtdeXl5atSokcv2gwcPutzxVh7du3eXMeas7TabTdOmTdO0adPO2iciIoIHRwIAALer8OW2a6+9VhMnTlRBQYFzW35+vh566CHny24BAAAquwqfSZo9e7a6deumBg0aqG3btpJOPxYgMjJSr732mtsLBAAA8IYKh6SLLrpIX3/9td544w199dVXCg4O1rBhwzR48GBVq1bNEzUCAACcdxUOSZIUEhKikSNHursWAAAAn1HhkPTqq6/+YXtFXnALAADgqyocksaOHeuyXlRUpBMnTigwMFDVq1cnJAEAgCqhwne3/frrry7LsWPHlJmZqa5du+rNN9/0RI0AAADnXYVDkpUmTZpo5syZZc4yAQAAVFZuCUmSFBAQoJ9++sldwwEAAHhVheckffDBBy7rxhgdPHhQzz77rLp06eK2wgAAALypwiHpzMtlz7DZbKpbt66uueYaPfnkk+6qCwAAwKsqHJJKS0s9UQcAAIBPcducJAAAgKqkXGeSUlNTyz3gnDlz/nIxAAAAvqJcIWnnzp0u619++aWKi4vVrFkzSdJ3330nf39/tW/f3v0VAgAAeEG5QtK6deucX8+ZM0c1a9bUkiVLVKtWLUmnHzA5bNgwXXnllZ6pEgAA4Dyr8JykJ598UjNmzHAGJEmqVauWHnvsMe5uAwAAVUaFQ1JhYaF+/vnnMtt//vlnHT161C1FAQAAeFuFQ1L//v01bNgwLVu2TD/88IN++OEHvffeexo+fLgGDBjgiRoBAADOuwo/J2nhwoW6//779Y9//ENFRUWnBwkI0PDhw/XEE0+4vUAAAABvqHBIql69up577jk98cQTOnDggCSpcePGCgkJcXtxAAAA3lLhkHRGSEiIIiIinF8DAABUJRWek1RaWqpp06YpLCxMDRo0UIMGDRQeHq5//vOfvLIEAABUGRU+k/Twww/r5Zdf1syZM9WlSxdJ0ubNmzVlyhSdPHlS06dPd3uRAAAA51uFQ9KSJUv00ksvqU+fPs5trVu31kUXXaR77rmHkAQAAKqECl9uO3LkiJo3b15me/PmzXXkyBG3FAUAAOBtFQ5Jbdq00bPPPltm+7PPPqs2bdq4pSgAAABvq/DltlmzZun666/Xp59+qoSEBElSenq6cnJy9NFHH7m9QAAAAG+o8Jmkq666St9995369++v/Px85efna8CAAcrMzOQFtwAAoMqo0JmkoqIi9ezZUwsXLmSCNgAAqNIqdCapWrVq+vrrrz1VCwAAgM+o8OW2m2++WS+//LInagEAAPAZFZ64XVxcrFdeeUWffvqp2rdvX+aVJHPmzHFbcQAAAN5S4ZC0a9cutWvXTpL03XffubTZbDb3VAUAAOBlFQ5J69at80QdlkpKSjRlyhS9/vrrys3NVXR0tG677TY98sgjzkBmjNHkyZP14osvKj8/X126dNGCBQvUpEmT81YnAACoeio8J+n3cnJylJOT465aynj88ce1YMECPfvss9q7d68ef/xxzZo1S/PmzXP2mTVrlp555hktXLhQW7duVUhIiJKSknTy5EmP1QUAAKq+Coek4uJiTZo0SWFhYWrYsKEaNmyosLAwPfLIIyoqKnJrcZ999pn69u2r66+/Xg0bNtSNN96oa6+9Vl988YWk02eR5s6dq0ceeUR9+/ZV69at9eqrr+qnn37SihUr3FoLAAC4sFQ4JI0ePVovvPCCZs2apZ07d2rnzp2aNWuWXn75ZY0ZM8atxV1xxRVKS0tzzn366quvtHnzZvXq1UuSlJWVpdzcXCUmJjr3CQsLU+fOnZWenn7WcR0OhwoLC10WAACA36vwnKSlS5fqrbfecgYVSWrdurViYmI0ePBgLViwwG3FTZgwQYWFhWrevLn8/f1VUlKi6dOna8iQIZKk3NxcSVJkZKTLfpGRkc42KzNmzNDUqVPdVicAAKh6KnwmyW63q2HDhmW2x8XFKTAw0B01Ob3zzjt64403tHTpUn355ZdasmSJZs+erSVLlpzTuBMnTlRBQYFz8eS8KgAAUDlVOCSlpKTon//8pxwOh3Obw+HQ9OnTlZKS4tbixo8frwkTJmjQoEFq1aqVbrnlFo0bN04zZsyQJEVFRUmS8vLyXPbLy8tztlmx2+0KDQ11WQAAAH6vwpfbdu7cqbS0NF188cVq06aNpNNzhU6dOqUePXpowIABzr7Lli07p+JOnDghPz/XHOfv76/S0lJJp89eRUVFKS0tTZdddpkkqbCwUFu3btXdd999Tt8bAABc2CocksLDw5WcnOyyLSYmxm0F/V7v3r01ffp0xcbG6tJLL9XOnTs1Z84c3X777ZJOP7zy3nvv1WOPPaYmTZooLi5OkyZNUnR0tPr16+eRmgAAwIWhwiFp0aJFnqjD0rx58zRp0iTdc889OnTokKKjo3XnnXfq0UcfdfZ54IEHdPz4cY0cOVL5+fnq2rWrVq9eraCgoPNWJwAAqHoqHJLOp5o1a2ru3LmaO3fuWfvYbDZNmzZN06ZNO3+FAQCAKu+cnrgNAABQVRGSAAAALBCSAAAALJQrJEVEROjw4cOSpNtvv11Hjx71aFEAAADeVq6QdOrUKef7zZYsWaKTJ096tCgAAABvK9fdbQkJCerXr5/at28vY4zGjBmj4OBgy76vvPKKWwsEAADwhnKFpNdff11PPfWUDhw4IJvNpoKCAs4mAQCAKq1cISkyMlIzZ86UdPpVIK+99ppq167t0cIAAAC8qcIPk8zKyvJEHQAAAD7lLz0CYMOGDerdu7fi4+MVHx+vPn36aNOmTe6uDQAAwGsqHJJef/11JSYmqnr16hozZoxzEnePHj20dOlST9QIAABw3lX4ctv06dM1a9YsjRs3zrltzJgxmjNnjv75z3/qH//4h1sLBAAA8IYKn0n6z3/+o969e5fZ3qdPH+YrAQCAKqPCISkmJkZpaWlltn/66aeKiYlxS1EAAADeVuHLbffdd5/GjBmjjIwMXXHFFZKkLVu2aPHixXr66afdXiAAAIA3VDgk3X333YqKitKTTz6pd955R5LUokULvf322+rbt6/bC8QfOJ4tOQ67d8yCve4dDwCASqrCIUmS+vfvr/79+7u7FlTE8WyVrGwh/9IT3q4EAIAq6S+FJPgAx2H5l57Q2Oz7tN/hvrlg3Wts1/j6r7ttPAAAKitCUiW33xGj3b/Fu228xvYct40FAEBl9peeuA0AAFDVEZIAAAAsnFNIMsbIGOOuWgAAAHzGXwpJr776qlq1aqXg4GAFBwerdevWeu2119xdGwAAgNdUeOL2nDlzNGnSJKWkpKhLly6SpM2bN+uuu+7S4cOHXd7pBgAAUFlVOCTNmzdPCxYs0K233urc1qdPH1166aWaMmUKIQkAAFQJFb7cdvDgQefrSH7viiuu0MGDB91SFAAAgLdVOCTFx8c7X0fye2+//baaNGnilqIAAAC8rcKX26ZOnaqBAwdq48aNzjlJW7ZsUVpammV4AgAAqIwqfCYpOTlZW7duVZ06dbRixQqtWLFCderU0RdffMH73AAAQJXxl15L0r59e73+Ou/3AgAAVRdP3AYAALBQ7jNJfn5+stlsf9jHZrOpuLj4nIsCAADwtnKHpOXLl5+1LT09Xc8884xKS0vdUhQAAIC3lTsk9e3bt8y2zMxMTZgwQStXrtSQIUM0bdo0txYHAADgLX9pTtJPP/2kESNGqFWrViouLlZGRoaWLFmiBg0auLs+/fjjj7r55ptVu3ZtBQcHq1WrVtq+fbuz3RijRx99VPXr11dwcLASExO1b98+t9cBAAAuLBUKSQUFBXrwwQcVHx+v3bt3Ky0tTStXrlTLli09Utyvv/6qLl26qFq1avr444+1Z88ePfnkk6pVq5azz6xZs/TMM89o4cKF2rp1q0JCQpSUlKSTJ096pCYAAHBhKPfltlmzZunxxx9XVFSU3nzzTcvLb+72+OOPKyYmRosWLXJui4uLc35tjNHcuXP1yCOPOOt59dVXFRkZqRUrVmjQoEEerxEAAFRN5Q5JEyZMUHBwsOLj47VkyRItWbLEst+yZcvcVtwHH3ygpKQk/f3vf9eGDRt00UUX6Z577tGIESMkSVlZWcrNzVViYqJzn7CwMHXu3Fnp6elnDUkOh0MOh8O5XlhY6LaaAQBA1VDukHTrrbf+6SMA3O0///mPFixYoNTUVD300EPatm2bxowZo8DAQA0dOlS5ubmSpMjISJf9IiMjnW1WZsyYoalTp3q0dgAAULmVOyQtXrzYg2VYKy0tVYcOHfSvf/1LktS2bVvt2rVLCxcu1NChQ//yuBMnTlRqaqpzvbCwUDExMedcLwAAqDp8+onb9evX1yWXXOKyrUWLFsrOzpYkRUVFSZLy8vJc+uTl5TnbrNjtdoWGhrosAAAAv+fTIalLly7KzMx02fbdd985HzUQFxenqKgopaWlOdsLCwu1detWJSQknNdaAQBA1fKXXnB7vowbN05XXHGF/vWvf+mmm27SF198oRdeeEEvvPCCpNOvQbn33nv12GOPqUmTJoqLi9OkSZMUHR2tfv36ebd4AABQqfl0SOrYsaOWL1+uiRMnatq0aYqLi9PcuXM1ZMgQZ58HHnhAx48f18iRI5Wfn6+uXbtq9erVCgoK8mLlAACgsvPpkCRJN9xwg2644YaztttsNk2bNo1XogAAALfy6TlJAAAA3kJIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsBDg7QKAC17BXvePaa8jhcS6f1wAuIAQkgAvqRvwq0qMTf7pN7t97BK/6vLvvZegBADngJAEeEmo/zH524zGZt+n/Y4Yt40bb8/R07FPSo7DhCQAOAeEJMDL9jtitPu3eG+XAQD4H0zcBgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsFCpQtLMmTNls9l07733OredPHlSo0aNUu3atVWjRg0lJycrLy/Pe0UCAIAqodKEpG3btun5559X69atXbaPGzdOK1eu1LvvvqsNGzbop59+0oABA7xUJQAAqCoqRUg6duyYhgwZohdffFG1atVybi8oKNDLL7+sOXPm6JprrlH79u21aNEiffbZZ/r888+9WDEAAKjsKsULbkeNGqXrr79eiYmJeuyxx5zbd+zYoaKiIiUmJjq3NW/eXLGxsUpPT9fll19uOZ7D4ZDD4XCuFxYWeq54wFsK9npmXHsdKSTWM2MDgA/x+ZD01ltv6csvv9S2bdvKtOXm5iowMFDh4eEu2yMjI5Wbm3vWMWfMmKGpU6e6u1TAJ9QN+FUlxib/9Js9Mn6JX3X5995LUAJQ5fl0SMrJydHYsWO1Zs0aBQUFuW3ciRMnKjU11bleWFiomJgYt40PeFOo/zH524zGZt+n/Q73/ncdb8/R07FPSo7DhCQAVZ5Ph6QdO3bo0KFDateunXNbSUmJNm7cqGeffVaffPKJTp06pfz8fJezSXl5eYqKijrruHa7XXa73ZOlA1633xGj3b/Fe7sMAKi0fDok9ejRQ998843LtmHDhql58+Z68MEHFRMTo2rVqiktLU3JycmSpMzMTGVnZyshIcEbJQMAgCrCp0NSzZo11bJlS5dtISEhql27tnP78OHDlZqaqoiICIWGhmr06NFKSEg466RtAACA8vDpkFQeTz31lPz8/JScnCyHw6GkpCQ999xz3i4LAABUcpUuJK1fv95lPSgoSPPnz9f8+fO9UxAAAKiSKsXDJAEAAM43QhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAIAFQhIAAICFAG8XAKASKtjr/jFLHJK/3f3jSpK9jhQS65mxAVRZhCQA5VY34FeVGJv80292+9glxk/+tlK3jytJJX7V5d97L0EJQIUQkgCUW6j/MfnbjMZm36f9jhi3jdu9xnaNr/+628eVpHh7jp6OfVJyHCYkAagQQhKACtvviNHu3+LdNl5je45HxgWAc8HEbQAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAs+H5JmzJihjh07qmbNmqpXr5769eunzMxMlz4nT57UqFGjVLt2bdWoUUPJycnKy8vzUsUAAKAq8PkX3G7YsEGjRo1Sx44dVVxcrIceekjXXnut9uzZo5CQEEnSuHHj9OGHH+rdd99VWFiYUlJSNGDAAG3ZssXL1Us6nn367ePuVrDX/WMCAAAnnw9Jq1evdllfvHix6tWrpx07dqhbt24qKCjQyy+/rKVLl+qaa66RJC1atEgtWrTQ559/rssvv9wbZZ92PFslK1vIv/SE92oAAAB/ic+HpP9VUFAgSYqIiJAk7dixQ0VFRUpMTHT2ad68uWJjY5Wenm4ZkhwOhxwOh3O9sLDQM8U6Dsu/9ITGZt+n/Y4Ytw7dvcZ2ja//ulvHBAAA/6dShaTS0lLde++96tKli1q2bClJys3NVWBgoMLDw136RkZGKjc313KcGTNmaOrUqZ4u12m/I0a7f4t365iN7TluHQ8AALiqVCFp1KhR2rVrlzZv3nxO40ycOFGpqanO9cLCQsXEuPdMDwAf44l5fPY6Ukis+8cF4BMqTUhKSUnRqlWrtHHjRl188cXO7VFRUTp16pTy8/Ndzibl5eUpKirKciy73S673e7pkgH4gLoBv6rE2OSffrPbxy7xqy7/3nsJSkAV5fMhyRij0aNHa/ny5Vq/fr3i4uJc2tu3b69q1aopLS1NycnJkqTMzExlZ2crISHBGyUD8CGh/sfkbzNunxsYb8/R07FPnr57lZAEVEk+H5JGjRqlpUuX6v3331fNmjWd84zCwsIUHByssLAwDR8+XKmpqYqIiFBoaKhGjx6thIQE797ZBsCneGJuIICqzedD0oIFCyRJ3bt3d9m+aNEi3XbbbZKkp556Sn5+fkpOTpbD4VBSUpKee+6581wpAACoSnw+JBlj/rRPUFCQ5s+fr/nz55+HigAAwIXA519LAgAA4A2EJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAs+f3cbAPg0T7zuRJJKHJK/B94MwKtUgHIjJAHAX+DJ151IUonxk7+t1P3j8ioVoNwISQDwF3jqdSeS1L3Gdo2v/zqvUgG8jJAEAOfAE687aWzP8djYAMqPidsAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWCEkAAAAWeMEtAFxoCvZ6Zlx7HSkk1jNj4/w4ni05Drt/3Er63wYhCQAuEHUDflWJsck//WaPjF/iV13+vfdWyj+GkHQ8WyUrW8i/9ITbh66s/20QkgDgAhHqf0z+NqOx2fdpvyPGrWPH23P0dOyTp89CVLI/hPj/OQ7Lv/SE2//7qMz/bRCSAOACs98Ro92/xXu7DPgo/vv4P0zcBgAAsMCZJACA+zAp3PM8NbnaU8euEiMkAQDOGZPCzxMPTq5GWYQkAMA5Y1L4eeKhydWS1L3Gdo2v/7pbx6zsCEkAALdh0u/54Ymfc2N7jlvHqwqYuA0AAGCBkAQAAGCBy20AgMrBE3dflTgkf7v7x5W4I68KqDIhaf78+XriiSeUm5urNm3aaN68eerUqZO3ywIAnCNP3jlXYvzkbyt1+7gSd+RVBVUiJL399ttKTU3VwoUL1blzZ82dO1dJSUnKzMxUvXr1vF0eAOAceOrOuTN3c3n0jrxDm6SwFu4bmGcZnVdVIiTNmTNHI0aM0LBhwyRJCxcu1IcffqhXXnlFEyZM8HJ1AAB3cPcdXWfu5vLEnWKefm4Uzo9KH5JOnTqlHTt2aOLEic5tfn5+SkxMVHp6uhcrAwBcqDx99gvnR6UPSYcPH1ZJSYkiIyNdtkdGRurbb7+13MfhcMjhcDjXCwoKJEmFhYXuLa7wmHRCijH7VWQ76dah65bkqNADY3tq3Mo6NjWfn7Gp+fyMXRlr9uTY56Nmx0mHihzuG/tkwKlK93OOMT+o8IRO/00McO/f2TN/t40xbh3XyVRyP/74o5FkPvvsM5ft48ePN506dbLcZ/LkyUYSCwsLCwsLSxVYcnJyPJIxKv2ZpDp16sjf3195eXku2/Py8hQVFWW5z8SJE5WamupcLy0t1ZEjR1S7dm3ZbDaP1nshKiwsVExMjHJychQaGurtci5oHAvfwbHwHRwL31HRY2GM0dGjRxUdHe2Reip9SAoMDFT79u2Vlpamfv36STodetLS0pSSkmK5j91ul93u+lyM8PBwD1eK0NBQfgH5CI6F7+BY+A6Ohe+oyLEICwvzWB2VPiRJUmpqqoYOHaoOHTqoU6dOmjt3ro4fP+682w0AAKCiqkRIGjhwoH7++Wc9+uijys3N1WWXXabVq1eXmcwNAABQXlUiJElSSkrKWS+vwbvsdrsmT55c5hInzj+Ohe/gWPgOjoXv8LVjYTPGU/fNAQAAVF5+3i4AAADAFxGSAAAALBCSAAAALBCSAAAALBCSUMaUKVNks9lclubNmzvbT548qVGjRql27dqqUaOGkpOTyzzxPDs7W9dff72qV6+uevXqafz48SouLnbps379erVr1052u13x8fFavHhxmVrmz5+vhg0bKigoSJ07d9YXX3zhkc/sKzZu3KjevXsrOjpaNptNK1ascGk3xujRRx9V/fr1FRwcrMTERO3bt8+lz5EjRzRkyBCFhoYqPDxcw4cP17Fjx1z6fP3117ryyisVFBSkmJgYzZo1q0wt7777rpo3b66goCC1atVKH330UYVrqcz+7FjcdtttZf6d9OzZ06UPx+LczZgxQx07dlTNmjVVr1499evXT5mZmS59fOl3UnlqqazKcyy6d+9e5t/FXXfd5dKnUh0Lj7zsBJXa5MmTzaWXXmoOHjzoXH7++Wdn+1133WViYmJMWlqa2b59u7n88svNFVdc4WwvLi42LVu2NImJiWbnzp3mo48+MnXq1DETJ0509vnPf/5jqlevblJTU82ePXvMvHnzjL+/v1m9erWzz1tvvWUCAwPNK6+8Ynbv3m1GjBhhwsPDTV5e3vn5QXjBRx99ZB5++GGzbNkyI8ksX77cpX3mzJkmLCzMrFixwnz11VemT58+Ji4uzvz222/OPj179jRt2rQxn3/+udm0aZOJj483gwcPdrYXFBSYyMhIM2TIELNr1y7z5ptvmuDgYPP88887+2zZssX4+/ubWbNmmT179phHHnnEVKtWzXzzzTcVqqUy+7NjMXToUNOzZ0+XfydHjhxx6cOxOHdJSUlm0aJFZteuXSYjI8Ncd911JjY21hw7dszZx5d+J/1ZLZVZeY7FVVddZUaMGOHy76KgoMDZXtmOBSEJZUyePNm0adPGsi0/P99Uq1bNvPvuu85te/fuNZJMenq6Meb0Hxc/Pz+Tm5vr7LNgwQITGhpqHA6HMcaYBx54wFx66aUuYw8cONAkJSU51zt16mRGjRrlXC8pKTHR0dFmxowZ5/wZK4P//cNcWlpqoqKizBNPPOHclp+fb+x2u3nzzTeNMcbs2bPHSDLbtm1z9vn444+NzWYzP/74ozHGmOeee87UqlXLeSyMMebBBx80zZo1c67fdNNN5vrrr3epp3PnzubOO+8sdy1VydlCUt++fc+6D8fCMw4dOmQkmQ0bNhhjfOt3UnlqqUr+91gYczokjR079qz7VLZjweU2WNq3b5+io6PVqFEjDRkyRNnZ2ZKkHTt2qKioSImJic6+zZs3V2xsrNLT0yVJ6enpatWqlcsTz5OSklRYWKjdu3c7+/x+jDN9zoxx6tQp7dixw6WPn5+fEhMTnX0uNFlZWcrNzXX5mYSFhalz584uP/vw8HB16NDB2ScxMVF+fn7aunWrs0+3bt0UGBjo7JOUlKTMzEz9+uuvzj5/dHzKU8uFYP369apXr56aNWumu+++W7/88ouzjWPhGQUFBZKkiIgISb71O6k8tVQl/3ssznjjjTdUp04dtWzZUhMnTtSJEyecbZXtWFSZJ27DfTp37qzFixerWbNmOnjwoKZOnaorr7xSu3btUm5urgIDA8u8EDgyMlK5ubmSpNzc3DKvhDmz/md9CgsL9dtvv+nXX39VSUmJZZ9vv/3WnR+30jjzs7P6mfz+51qvXj2X9oCAAEVERLj0iYuLKzPGmbZatWqd9fj8fow/q6Wq69mzpwYMGKC4uDgdOHBADz30kHr16qX09HT5+/tzLDygtLRU9957r7p06aKWLVtKkk/9TipPLVWF1bGQpH/84x9q0KCBoqOj9fXXX+vBBx9UZmamli1bJqnyHQtCEsro1auX8+vWrVurc+fOatCggd555x0FBwd7sTLAdwwaNMj5datWrdS6dWs1btxY69evV48ePbxYWdU1atQo7dq1S5s3b/Z2KRe8sx2LkSNHOr9u1aqV6tevrx49eujAgQNq3Ljx+S7znHG5DX8qPDxcTZs21f79+xUVFaVTp04pPz/fpU9eXp6ioqIkSVFRUWXuIDiz/md9QkNDFRwcrDp16sjf39+yz5kxLjRnPvcf/UyioqJ06NAhl/bi4mIdOXLELcfn9+1/VsuFplGjRqpTp472798viWPhbikpKVq1apXWrVuniy++2Lndl34nlaeWquBsx8JK586dJcnl30VlOhaEJPypY8eO6cCBA6pfv77at2+vatWqKS0tzdmemZmp7OxsJSQkSJISEhL0zTffuPyBWLNmjUJDQ3XJJZc4+/x+jDN9zowRGBio9u3bu/QpLS1VWlqas8+FJi4uTlFRUS4/k8LCQm3dutXlZ5+fn68dO3Y4+6xdu1alpaXOX1YJCQnauHGjioqKnH3WrFmjZs2aqVatWs4+f3R8ylPLheaHH37QL7/8ovr160viWLiLMUYpKSlavny51q5dW+bypC/9TipPLZXZnx0LKxkZGZLk8u+iUh2Lck/xxgXjvvvuM+vXrzdZWVlmy5YtJjEx0dSpU8ccOnTIGHP6tsrY2Fizdu1as337dpOQkGASEhKc+5+5xfPaa681GRkZZvXq1aZu3bqWt3iOHz/e7N2718yfP9/yFk+73W4WL15s9uzZY0aOHGnCw8Nd7oqoao4ePWp27txpdu7caSSZOXPmmJ07d5r//ve/xpjTt3qHh4eb999/33z99demb9++lo8AaNu2rdm6davZvHmzadKkictt5/n5+SYyMtLccsstZteuXeatt94y1atXL3PbeUBAgJk9e7bZu3evmTx5suVt539WS2X2R8fi6NGj5v777zfp6ekmKyvLfPrpp6Zdu3amSZMm5uTJk84xOBbn7u677zZhYWFm/fr1LreVnzhxwtnHl34n/VktldmfHYv9+/ebadOmme3bt5usrCzz/vvvm0aNGplu3bo5x6hsx4KQhDIGDhxo6tevbwIDA81FF11kBg4caPbv3+9s/+2338w999xjatWqZapXr2769+9vDh486DLG999/b3r16mWCg4NNnTp1zH333WeKiopc+qxbt85cdtllJjAw0DRq1MgsWrSoTC3z5s0zsbGxJjAw0HTq1Ml8/vnnHvnMvmLdunVGUpll6NChxpjTt3tPmjTJREZGGrvdbnr06GEyMzNdxvjll1/M4MGDTY0aNUxoaKgZNmyYOXr0qEufr776ynTt2tXY7XZz0UUXmZkzZ5ap5Z133jFNmzY1gYGB5tJLLzUffvihS3t5aqnM/uhYnDhxwlx77bWmbt26plq1aqZBgwZmxIgRZQI8x+LcWR0DSS6/L3zpd1J5aqms/uxYZGdnm27dupmIiAhjt9tNfHy8GT9+vMtzkoypXMfC9v9/cAAAAPwOc5IAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAAAAsEJIAeFXDhg01d+5cb5cBAGUQkgC4xW233SabzSabzabAwEDFx8dr2rRpKi4u/sP9tm3b5vLmcADwFQHeLgBA1dGzZ08tWrRIDodDH330kUaNGqVq1app4sSJZfqeOnVKgYGBqlu37nmt8cz3BYA/w5kkAG5jt9sVFRWlBg0a6O6771ZiYqI++OADSafPNPXr10/Tp09XdHS0mjVrJqns5bb8/HzdeeedioyMVFBQkFq2bKlVq1Y52zdv3qwrr7xSwcHBiomJ0ZgxY3T8+PGz1jRlyhRddtlleumllxQXF6egoCBJ0urVq9W1a1eFh4erdu3auuGGG3TgwAHnft9//71sNpuWLVumq6++WtWrV1ebNm2Unp7uMv6LL76omJgYVa9eXf3799ecOXMUHh7u0uf9999Xu3btFBQUpEaNGmnq1Kl/eoYNgPcRkgB4THBwsE6dOuVcT0tLU2ZmptasWeMSfM4oLS1Vr169tGXLFr3++uvas2ePZs6cKX9/f0nSgQMH1LNnTyUnJ+vrr7/W22+/rc2bNyslJeUP69i/f7/ee+89LVu2TBkZGZKk48ePKzU1Vdu3b1daWpr8/PzUv39/lZaWuuz78MMP6/7771dGRoaaNm2qwYMHOwPOli1bdNddd2ns2LHKyMjQ3/72N02fPt1l/02bNunWW2/V2LFjtWfPHj3//PNavHhxmX4AfFCFXocLAGcxdOhQ07dvX2PM6bfSr1mzxtjtdnP//fc72yMjI43D4XDZr0GDBuapp54yxhjzySefGD8/v7O+wX748OFm5MiRLts2bdpk/Pz8zG+//Wa5z+TJk021atXMoUOH/rD+n3/+2Ugy33zzjTHGmKysLCPJvPTSS84+u3fvNpLM3r17jTHGDBw40Fx//fUu4wwZMsSEhYU513v06GH+9a9/ufR57bXXTP369f+wHgDex5kkAG6zatUq1ahRQ0FBQerVq5cGDhyoKVOmONtbtWr1h/OBMjIydPHFF6tp06aW7V999ZUWL16sGjVqOJekpCSVlpYqKyvrrOM2aNCgzNynffv2afDgwWrUqJFCQ0PVsGFDSVJ2drZLv9atWzu/rl+/viTp0KFDkqTMzEx16tTJpf//rn/11VeaNm2aS80jRozQwYMHdeLEibPWDMD7mLgNwG2uvvpqLViwQIGBgYqOjlZAgOuvmJCQkD/cPzg4+A/bjx07pjvvvFNjxowp0xYbG3vW/ay+b+/evdWgQQO9+OKLio6OVmlpqVq2bOlyeVCSqlWr5vzaZrNJUplLcn9W89SpUzVgwIAybWfmRwHwTYQkAG4TEhKi+Pj4v7x/69at9cMPP+i7776zPJvUrl077dmz55y+hyT98ssvyszM1Isvvqgrr7xS0ukJ4RXVrFkzbdu2zWXb/663a9dOmZmZ51wzgPOPkATAZ1x11VXq1q2bkpOTNWfOHMXHx+vbb7+VzWZTz5499eCDD+ryyy9XSkqK7rjjDoWEhGjPnj1as2aNnn322XJ/n1q1aql27dp64YUXVL9+fWVnZ2vChAkVrnf06NHq1q2b5syZo969e2vt2rX6+OOPnWecJOnRRx/VDTfcoNjYWN14443y8/PTV199pV27dumxxx6r8PcEcP4wJwmAT3nvvffUsWNHDR48WJdccokeeOABlZSUSDp9pmnDhg367rvvdOWVV6pt27Z69NFHFR0dXaHv4efnp7feeks7duxQy5YtNW7cOD3xxBMVrrVLly5auHCh5syZozZt2mj16tUaN26cy2W0pKQkrVq1Sv/+97/VsWNHXX755XrqqafUoEGDCn8/AOeXzRhjvF0EAFQVI0aM0LfffqtNmzZ5uxQA54jLbQBwDmbPnq2//e1vCgkJ0ccff6wlS5boueee83ZZANyAM0kAcA5uuukmrV+/XkePHlWjRo00evRo3XXXXd4uC4AbEJIAAAAsMHEbAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAwv8HI5JHXRZkKFkAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Scatterplots"],"metadata":{"id":"TJgBJNSPUdoX"}},{"cell_type":"code","source":["features_list = laptopprice.columns\n","prices_column_index = 7\n","\n","fig, axes = plt.subplots(nrows=len(features_list) , figsize=(8, 6 * len(features_list)))\n","\n","for i, feature in enumerate(features_list):\n","    axes[i].scatter(laptopprice[feature], laptopprice.iloc[:, prices_column_index])\n","    axes[i].set_xlabel(feature)\n","    axes[i].set_ylabel(laptopprice.columns[prices_column_index])\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"cnN5knPHTWRG","executionInfo":{"status":"ok","timestamp":1688564985493,"user_tz":-330,"elapsed":4205,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"14164c50-d57d-4e07-e21e-66381ae296a3"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x4800 with 8 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAxQAABK2CAYAAACw/kYOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeXhU5fn/8c8kkA2SgYBhgmwBqzAGURAwKlQtSwRxbavUrUqxUrAqfl1oVaC2Yu2itloXtG7oV7pYBaWx/FABaxAlgsQgKgZQSQgSSNhCljm/P/KdkUOSycnkzHbyfl1XrsvM3EyeHCdnzn2e57lvl2EYhgAAAAAgBAnRHgAAAACA+EVCAQAAACBkJBQAAAAAQkZCAQAAACBkJBQAAAAAQkZCAQAAACBkJBQAAAAAQkZCAQAAACBknaI9gI7E5/Npx44dSk9Pl8vlivZwAAAA0AEZhqF9+/apd+/eSkho//wCCUUE7dixQ3379o32MAAAAAB9+eWX6tOnT7tfh4QigtLT0yU1/s/LyMiI8mgAAADQEVVXV6tv376Ba9P2IqGIIP8yp4yMDBIKAAAARJVdS/DZlA0AAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEIW1YRiwYIFGjlypNLT05WVlaULL7xQmzdvNsWcddZZcrlcpq/rr7/eFLN9+3ZNnjxZaWlpysrK0q233qr6+npTzNtvv63hw4crOTlZxx13nJ555pkm43nkkUc0YMAApaSkaPTo0Vq7dq3p+ZqaGs2cOVM9evRQ165ddckll2jnzp32HAwAAAAgDkU1oVi5cqVmzpypNWvWaPny5aqrq9OECRN04MABU9z06dNVVlYW+Lr//vsDzzU0NGjy5Mmqra3Vu+++q2effVbPPPOM7r777kBMaWmpJk+erLPPPlvr16/XTTfdpJ/85Cd64403AjGLFy/W7NmzNXfuXBUVFWnYsGGaOHGiKioqAjE333yzli5dqr///e9auXKlduzYoYsvvjiMRwgAAACIbS7DMIxoD8Jv165dysrK0sqVKzV27FhJjTMUJ598sh588MFm/82///1vnXfeedqxY4d69eolSXrsscd0++23a9euXUpKStLtt9+u119/XcXFxYF/d9lll2nv3r0qKCiQJI0ePVojR47Uww8/LEny+Xzq27evbrjhBt1xxx2qqqrSMcccoxdffFHf//73JUmffPKJhgwZosLCQp122mmt/n7V1dVyu92qqqqisR0AAACiwu5r0pjaQ1FVVSVJyszMND3+wgsvqGfPnsrNzdWcOXN08ODBwHOFhYUaOnRoIJmQpIkTJ6q6uloff/xxIGbcuHGm15w4caIKCwslSbW1tVq3bp0pJiEhQePGjQvErFu3TnV1daaYwYMHq1+/foGYox0+fFjV1dWmLwAAAMBJOkV7AH4+n0833XSTzjjjDOXm5gYe/9GPfqT+/furd+/e+uijj3T77bdr8+bNevnllyVJ5eXlpmRCUuD78vLyoDHV1dU6dOiQ9uzZo4aGhmZjPvnkk8BrJCUlqVu3bk1i/D/naAsWLND8+fPbeCQAAACA+BEzCcXMmTNVXFysd955x/T4ddddF/jvoUOHKjs7W9/73ve0ZcsWDRo0KNLDbJM5c+Zo9uzZge+rq6vVt2/fKI4IAAAAsFdMLHmaNWuWXnvtNb311lvq06dP0NjRo0dLkj7//HNJksfjaVJpyf+9x+MJGpORkaHU1FT17NlTiYmJzcYc+Rq1tbXau3dvizFHS05OVkZGhukLAAAAcJKoJhSGYWjWrFn617/+pTfffFM5OTmt/pv169dLkrKzsyVJeXl52rhxo6ka0/Lly5WRkSGv1xuIWbFihel1li9frry8PElSUlKSRowYYYrx+XxasWJFIGbEiBHq3LmzKWbz5s3avn17IAYAAADoaKK65GnmzJl68cUX9eqrryo9PT2wF8Htdis1NVVbtmzRiy++qEmTJqlHjx766KOPdPPNN2vs2LE66aSTJEkTJkyQ1+vVlVdeqfvvv1/l5eW68847NXPmTCUnJ0uSrr/+ej388MO67bbbdO211+rNN9/U3/72N73++uuBscyePVtXX321Tj31VI0aNUoPPvigDhw4oGuuuSYwpmnTpmn27NnKzMxURkaGbrjhBuXl5Vmq8AQAAAA4khFFkpr9evrppw3DMIzt27cbY8eONTIzM43k5GTjuOOOM2699VajqqrK9Dpbt241zj33XCM1NdXo2bOnccsttxh1dXWmmLfeess4+eSTjaSkJGPgwIGBn3GkP//5z0a/fv2MpKQkY9SoUcaaNWtMzx86dMj42c9+ZnTv3t1IS0szLrroIqOsrMzy71tVVWVIajJ+AAAAIFLsviaNqT4UTkcfCgAAAESb3dekMVPlCYhXDT5Da0srVbGvRlnpKRqVk6nEBFe0hwUAABARJBRAOxQUl2n+0hKVVdUEHst2p2juFK/yc7OjODIAABCrnHYzkoQCCFFBcZlmLCrS0WsGy6tqNGNRkR69YjhJBQAAMHHizciY6EMBxJsGn6H5S0uaJBOSAo/NX1qiBh9blAAAQCP/zcgjkwnp25uRBcVlURpZ+5BQACFYW1rZ5GRwJENSWVWN1pZWRm5QAAAgZjn5ZiQJBRCCin0tJxOhxAEAAGdz8s1IEgogBFnpKbbGAQAAZ3PyzUgSCiAEo3Iyle1OUUv1GFxq3GA1KiczksMCAAAxysk3I0kogBAkJrg0d4pXkpokFf7v507xxnUJOAAAYB8n34wkoQBClJ+brUevGC6P23wnweNOoWQsAAAwcfLNSJdhGPG3lTxO2d3mHLHBac1pANiDcwOA5sRCHwq7r0lJKCKIhAIAOoZYuGAAELuifcOBhCKOkVAAgPP5G1cd/eHqv1RgSSSAaLP7mpQ9FAAA2MTJjasAoCUkFAAA2MTJjasAoCUkFAAA2MTJjasAoCUkFAAA2MTJjasAoCUkFAAA2MTJjasAoCUkFAAA2MTJjasAoCUkFAAA2Cg/N1uPXjFcHrd5WZPHnULJWACO1CnaAwAAwGnyc7M13uuhUzaADoGEogOorffp+cKt2lZ5UP0z03Rl3gAldWJyyi7R7nYJIDYlJriUN6hHtIcBAGFHQuFwC5aVaOHqUh3ZQ+k3yzZp+pgczZnkjd7AHKKguEzzl5aY6s5nu1M0d4qXZQ0AAKBD4Da1gy1YVqLHV5mTCUnyGdLjq0q1YFlJdAbmEAXFZZqxqKhJE6vyqhrNWFSkguKyKI0MAAAgckgoHKq23qeFq0uDxixcXarael+ERuQsDT5D85eWyGjmOf9j85eWqOHobA4AAMBhSCgc6vnCrU1mJo7mMxrj0HZrSyubzEwcyZBUVlWjtaWVkRsUAABAFJBQONTW3QdsjYNZxb6Wk4lQ4gAAAOIVCQUQgqz0lNaD2hAHAAAQr0goHOrkvt1tjYPZqJxMZbtTmnTC9XOpsdrTqJzMSA4LAAAg4kgoHKp3t1Rb42CWmODS3CmNZXePTir838+d4qUfBQAAcDwSCofy30EPhjvo7ZOfm61Hrxguz1HH2eNO0aNXDKcPBQAA6BBobOdQ/jvoMxYVNVva1CXuoNshPzdb470eOmUDAIAOixkKB/PfQT96piKbO+gAAACwCTMUDscd9PAqKC7T/KUlpp4U2e4UzZ3iJWEDAAAdgsswDFr5Rkh1dbXcbreqqqqUkZER7eGgnQqKy5pdUuZP1ZgFAgAAscjua1KWPAEhaPAZmr+0pNn9Kf7H5i8tUUNr7coBAADiHAkFEIK1pZWmZU5HMySVVdVobWll5AYFAAAQBSQUQAgq9rWcTIQSBwAAEK9IKIAQZKUH7/HR1jgAAIB4RUIBhMDfOLClWlku0TgQAAB0DCQUQAj8jQMlNUkq/N/TOBAAADTnUG2D7nplo6586j3d9cpGHaptiPaQ2oWysRFE2VjnoQ8FAABoi+nPva/lJRVNHh/vzdLCq0ZGZAx2X5OSUERQtBKKBp9BY7sw4vgCAAArWkom/CKVVNh9TUqnbIfjDnr4JSa4lDeoR7SHAQAAYtih2oagyYQkLS+p0KHaBqUmJUZoVPZgD4WD+Ts5H90vobyqRjMWFamguCxKIwMAAOhY7l1WYmtcLCGhcCg6OQMAAMSOrbsP2hoXS0goHIpOzgAAALFjQI80W+NiCQmFQ9HJGQAAIHb8YpLX1rhYQkLhUHRyBgAAiB2pSYka780KGjPemxV3G7IlEgrHopMzAABAbFl41cgWk4pI9qGwG2VjHcrfyXnGoiK5JNPmbDo5AwAARMfCq0bqUG2D7l1Woq27D2pAjzT9YpI3Lmcm/GhsF0HRaGxHHwoAAAAcicZ2aJP83GyN93ro5AwAAICwIKHoAOjkDAAAgHBhUzYAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkHWK9gCAeNfgM7S2tFIV+2qUlZ6iUTmZSkxwRXtYAAAAEUFCAbRDQXGZ5i8tUVlVTeCxbHeK5k7xKj83O4ojAwAAiAyWPAEhKigu04xFRaZkQpLKq2o0Y1GRCorLojQyAACAyCGhAELQ4DM0f2mJjGae8z82f2mJGnzNRQAAADgHCQUQgrWllU1mJo5kSCqrqtHa0srIDQoAACAKSCiAEFTsazmZCCUOAAAgXpFQACHISk+xNQ4AACBekVAAIRiVk6lsd4paKg7rUmO1p1E5mZEcFgAAQMSRUAAhSExwae4UryQ1SSr838+d4qUfBQAAcDwSCiBE+bnZevSK4fK4zcuaPO4UPXrFcPpQAADiVoPPUOGW3Xp1/dcq3LKbqoUIisZ2QDvk52ZrvNdDp2wAgGPQtBVt5TIMg5QzQqqrq+V2u1VVVaWMjIxoDwcAAMDE37T16ItD/20yZuCdwe5rUpY8AQAAgKatCBkJBQAAAGjaipCRUAAAAICmrQgZCQUAAABo2oqQkVAAAACApq0IGQkFAAAAaNqKkJFQAAAAQBJNWxEaGtsBAAAggKataCsSCgAAAJgkJriUN6hHtIeBOMGSJwAAAAAhI6EAAAAAEDISCgAAAAAhI6EAAAAAEDI2ZXcADT6DSg0AAAAIi6jOUCxYsEAjR45Uenq6srKydOGFF2rz5s2mmJqaGs2cOVM9evRQ165ddckll2jnzp2mmO3bt2vy5MlKS0tTVlaWbr31VtXX15ti3n77bQ0fPlzJyck67rjj9MwzzzQZzyOPPKIBAwYoJSVFo0eP1tq1a9s8llhTUFymM3/7pqYuXKMbX1qvqQvX6MzfvqmC4rJoDw0AAAAOENWEYuXKlZo5c6bWrFmj5cuXq66uThMmTNCBAwcCMTfffLOWLl2qv//971q5cqV27Nihiy++OPB8Q0ODJk+erNraWr377rt69tln9cwzz+juu+8OxJSWlmry5Mk6++yztX79et100036yU9+ojfeeCMQs3jxYs2ePVtz585VUVGRhg0bpokTJ6qiosLyWGJNQXGZZiwqUllVjenx8qoazVhURFIBAACAdnMZhmFEexB+u3btUlZWllauXKmxY8eqqqpKxxxzjF588UV9//vflyR98sknGjJkiAoLC3Xaaafp3//+t8477zzt2LFDvXr1kiQ99thjuv3227Vr1y4lJSXp9ttv1+uvv67i4uLAz7rsssu0d+9eFRQUSJJGjx6tkSNH6uGHH5Yk+Xw+9e3bVzfccIPuuOMOS2NpTXV1tdxut6qqqpSRkWHrsTtag8/Qmb99s0ky4edSY9fLd24/h+VPAAAAHYjd16QxtSm7qqpKkpSZmSlJWrdunerq6jRu3LhAzODBg9WvXz8VFhZKkgoLCzV06NBAMiFJEydOVHV1tT7++ONAzJGv4Y/xv0Ztba3WrVtniklISNC4ceMCMVbGcrTDhw+rurra9BUpa0srW0wmJMmQVFZVo7WllREbEwAAAJwnZhIKn8+nm266SWeccYZyc3MlSeXl5UpKSlK3bt1Msb169VJ5eXkg5shkwv+8/7lgMdXV1Tp06JC++eYbNTQ0NBtz5Gu0NpajLViwQG63O/DVt29fi0ej/Sr2tZxMhBIHAAAANCdmEoqZM2equLhYL730UrSHYps5c+aoqqoq8PXll19G7GdnpafYGgcAAAA0JyYSilmzZum1117TW2+9pT59+gQe93g8qq2t1d69e03xO3fulMfjCcQcXWnJ/31rMRkZGUpNTVXPnj2VmJjYbMyRr9HaWI6WnJysjIwM01ekjMrJVLY7RS3tjnBJynY3lpAFAAAAQhXVhMIwDM2aNUv/+te/9OabbyonJ8f0/IgRI9S5c2etWLEi8NjmzZu1fft25eXlSZLy8vK0ceNGUzWm5cuXKyMjQ16vNxBz5Gv4Y/yvkZSUpBEjRphifD6fVqxYEYixMpZYkpjg0twpjb//0UmF//u5U7xsyAYAAEC7RLXK089+9jO9+OKLevXVV3XCCScEHne73UpNTZUkzZgxQ8uWLdMzzzyjjIwM3XDDDZKkd999V1Jj2diTTz5ZvXv31v3336/y8nJdeeWV+slPfqJ7771XUmPZ2NzcXM2cOVPXXnut3nzzTf385z/X66+/rokTJ0pqLBt79dVX6/HHH9eoUaP04IMP6m9/+5s++eSTwN6K1sbSmkhWefIrKC7T/KUlpg3a2e4UzZ3iVX5udkTGAAAAgNhh+zWpEUVqLDbU5Ovpp58OxBw6dMj42c9+ZnTv3t1IS0szLrroIqOsrMz0Olu3bjXOPfdcIzU11ejZs6dxyy23GHV1daaYt956yzj55JONpKQkY+DAgaaf4ffnP//Z6Nevn5GUlGSMGjXKWLNmjel5K2MJpqqqypBkVFVVWf43dqhv8Bnvfv6N8cqHXxnvfv6NUd/gi+jPBwAAQOyw+5o0pvpQOF00Ziikxp4Ua0srVbGvRlnpjfsmWOoEAADQMdl9TdrJhjEhhrHkCQAAAOEUE1WeEB4FxWWasaioSYO78qoazVhUpILisiiNDAAAAE5BQuFQDT5D85eWqLn1bP7H5i8tUYOPFW8AAAAIHQmFQ60trWwyM3EkQ1JZVY3WllZGblAAACAuNPgMFW7ZrVfXf63CLbu5AYmg2EPhUBX7Wk4mQokDAAAdA/sv0VbMUDhUVnqKrXEAAMD52H+JUJBQONSonExlu1OadMn2c6nxbsOonMxIDgsAAMQo9l8iVCQUDpWY4NLcKV5JapJU+L+fO8VLPwoAACCJ/ZcIHQmFg+XnZuvRK4bL4zYva/K4U/ToFcNZBwkAAALYf4lQsSnb4fJzszXe66FTNgAACIr9lwgVCUUHkJjgUt6gHtEeBgAAiGH+/ZflVTXN7qNwqXGVA/svcTSWPAEAAID9lwgZCQUAAAAksf8SoWHJEwAAAALYf4m2IqEAAACACfsv0RYseQIAAAAQMhIKAAAAACEjoQAAAAAQMhIKAAAAACEjoQAAAAAQMqo8AQAAABHU4DMcVZaXhAIAAACIkILiMs1fWqKyqprAY9nuFM2d4o3bxoEseQIAAAAioKC4TDMWFZmSCUkqr6rRjEVFKigui9LI2oeEAgAAAAizBp+h+UtLZDTznP+x+UtL1OBrLiK2kVAAAAAAYba2tLLJzMSRDEllVTVaW1oZuUHZhIQCAAAACLOKfS0nE6HExRISCgAAACDMstJTbI2LJSQUAAAAQJiNyslUtjtFLRWHdamx2tOonMxIDssWJBQAAABAmCUmuDR3ileSmiQV/u/nTvHGZT8KEgoAAAAgAvJzs/XoFcPlcZuXNXncKXr0iuFx24eCxnYAAABAhOTnZmu810OnbAAAEFyDz3DUBQM6Ft6/4dXgM1Syo0rbKg+qf2aaRvTvHtfHl4QCAACbFRSXaf7SElPN+Wx3iuZO8cbtkgZ0HLx/w2vBshItXF2qI/vX/WbZJk0fk6M5k7zRG1g7sIcCAAAbFRSXacaioiYNrMqrajRjUZEKisuiNDKgdbx/w2vBshI9vsqcTEiSz5AeX1WqBctKojOwdiKhAADAJg0+Q/OXlsho5jn/Y/OXlqjh6KsJIAbw/g2v2nqfFq4uDRqzcHWpaut9ERqRfUgoAACwydrSyiZ3do9kSCqrqtHa0srIDQqwiPdveD1fuLXJzMTRfEZjXLwhoQAAwCYV+1q+GAslDogk3r/hta3yoK1xsYSEAgAAm2Slp7Qe1IY4IJJ4/4ZX/8w0W+NiCQkFAAA2GZWTqWx3SpMuuH4uNVbLGZWTGclhAZbw/g2vK/MGqLXKsAmuxrh4Q0IBAIBNEhNcmjulsezj0dcN/u/nTvHGdb15OBfv3/BK6pSg6WNygsZMH5OjpE7xd3kefyMGACCG5edm69ErhsvjNi8L8bhT9OgVw6njj5jG+ze85kzy6qdjc5rMVCS4pJ+Ojd8+FC7DMKj9FSHV1dVyu92qqqpSRkZGtIcDAAgjOg0jnvH+Da/aep+eL9wa6JR9Zd6AiM5M2H1NSkIRQSQUAAAAiDa7r0k72TAmoEPjLg4AAOjISCiAdigoLtP8pSWmRkDZ7hTNneJlnSkAAOgQ2JQNhKiguEwzFhU16SpaXlWjGYuKVFBcFqWRAQAARA4JBRCCBp+h+UtL1NwGJP9j85eWqMHHFiUAAOBsJBRACNaWVjaZmTiSIamsqkZrSysjNygAAIAoYA8FEIKKfS0nE6HEAXAeCjYAaInTzg8kFEAIstJTWg9qQxwAZ6FgA4CWOPH8wJInIASjcjKV7U5RS/cSXGo8OYzKyYzksADEAAo2AGiJU88PJBRACBITXJo7xStJTZIK//dzp3jjevoSQNtRsAFAS5x8fiChAEKUn5utR68YLo/bvKzJ407Ro1cMj9tpSwCho2ADgJY4+fzAHgqgHfJzszXe63HUxqpY47SNa3A2CjYAaImTzw8kFEA7JSa4lDeoR7SH4UhO3LgGZ6NgA4CWOPn8wJInADHJqRvX4GwUbADQklE5meqW1jloTLe0znF5fiChABBznLxxDc5GwQYA7RGvZwYSig6gwWeocMtuvbr+axVu2c1FGGKekzeuwfko2ACgOWtLK7X3YF3QmD0H6+Lys409FA7HGnTEIydvXEPHQMEGAEdz8mcbCYWD+degHz0f4V+Dzp0yxConb1xDx0HBBgBHcvJnG0ueHIo16IhnbGwFADiNkz/bSCgcijXoiGdsbAUAOI2TP9tIKBzKyev00DGwsRUA4DRO/WxjD4VDOXmdHjoONrYintHlHUBznPjZRkLhUCP6d1eCSwq2RSLB1RgHxDI2tiIeUWEPQDBO+2xjyZNDrdu2J2gyITUmG+u27YnMgACgg6DLO4COhoTCodhDAQCRR4U9AB0RCYVDsYcCACKPCnsAOiISCodycq1jAIhVzA4D6IhIKBzKX+u4pUl1Q/Fb6zjW1Nb79NTqL3T3q8V6avUXqq33RXtIAKKE2WEAHRFVnoB2WLCsRAtXl5o2wP9m2SZNH5OjOZO80RsYgKgYlZOpbmmdtfdgXYsx3dM6MzsMwFGYoXAo/8bAlrjExsD2WrCsRI+vKm1STctnSI+vKtWCZS0ffwAdF2ddAE5DQuFQbAwMr9p6nxauLg0as3B1KcufgA5mbWll0NkJSdp7sI5zLwBHIaFwKDYGhtfzhVst9fl4vnBrRMYDIDZw7gXQEbGHwqHYGBhe2yoP2hqHljX4DK0trVTFvhplpTdWJqOYAGIV5144Befe8HLa8SWhcCh/2djyqppm1+u6JHkoGxuy/plptsaheQXFZZq/tMS0fC/bnaK5U7zKz82O4siA5vnPvcGWnFKyG7GOc294OfH4suTJofxlYyU16UXh/56ysaG7Mm+AWjt0Ca7GOISmoLhMMxYVNbkwK6+q0YxFRSooLovSyICWJSa4dP6w4BcE5w/L5tyLmMW5N7ycenxJKBwsPzdbj14xXB63eWrd407Ro1cMj9ssOBYkdUrQ9DE5QWOmj8lRUif+xELhr1LW3Oya/zGqlCEWNfgMLdkQ/IJgyYYy3ruISZx7w8vJx5clTw6Xn5ut8V6Po9bpxQp/n4mj+1AkuEQfinZqS5WyvEE9IjcwoBWtvXcl3ruIXZx7w8vJx5eEogNITHDF3RszXsyZ5NUtEwbr+cKt2lZ5UP0z03Rl3gBmJtqJSjmIV7x3Ec94/4aXk48vCUUH4LRKArEmqVOCpo0ZGO1hOAqVchCveO8invH+DS8nH18SCodzYiUBOB9VyhCveO8invH+DS8nH1/WZTiYUysJwPmoUoZ4xXsX8Yz3b3g5+fiSUDiUkysJoGOgShniFe9dxDPev+Hl1OPrMgyDK8oIqa6ultvtVlVVlTIyMsL6swq37NbUhWtajfvf6aexYbud2KMSXhxfxCveu4hnvH/DK9rH1+5rUvZQOJSTKwnEEvaohB9VyhCveO8CaInTzg8kFA7l5EoCscK/R+XoKT7/HpV4nroEAHRc3CxDW7GHwqFG5WQqLSkxaExaUmJcVhKIBexRAQA4EQVdEAoSCodq8Bk6VNcQNOZQXQMXvCFqS7dLAADiATfLECoSCod6vnCrWttubxiNcWg79qgAAJyGm2UIFQmFQ22rPGhrHMzYowIAcBpuliFUJBQO1T8zzdY4mPm7XbZU4M2lxg1s7FEBAMQLbpYhVCQUDnVl3gC1Vs44wdUYh7ZzcrdLAEDHxM0yhIqEwqGSOiVo+picoDHTx+QoqRNvgVD5u132ykg2Pd4rI5mSsQCAuMPNMoSKq0kHmzPJq5+OzWkyU5Hgkn46NkdzJnmjMzDHaem0CwBAfPHfLPO4zcuaPO4UbpahRS7DaK0WEOxid5tzq2rrfXq+cKu2VR5U/8w0XZk3gJkJG7TU2M6fTnDiBQDEqwafobWllarYV6Os9MZlTsxMOIfd16RRvapctWqVpkyZot69e8vlcumVV14xPf/jH/9YLpfL9JWfn2+Kqays1OWXX66MjAx169ZN06ZN0/79+00xH330kcaMGaOUlBT17dtX999/f5Ox/P3vf9fgwYOVkpKioUOHatmyZabnDcPQ3XffrezsbKWmpmrcuHH67LPP7DkQYZaY4JK3t1sj+neXt7ebE4INqNUNoDUNPkOFW3br1fVfq3DLbs4HAAJq6316avUXuvvVYj21+gvV1vuiPaR26RTNH37gwAENGzZM1157rS6++OJmY/Lz8/X0008Hvk9ONq9Xv/zyy1VWVqbly5errq5O11xzja677jq9+OKLkhozsAkTJmjcuHF67LHHtHHjRl177bXq1q2brrvuOknSu+++q6lTp2rBggU677zz9OKLL+rCCy9UUVGRcnNzJUn333+//vSnP+nZZ59VTk6O7rrrLk2cOFElJSVKSYndagcFxWWav7TEVFc6252iuVO83D1vh7bU6s4b1CNyAwMQEzj3Ip7x/g2vBctKtHB1qY68x/CbZZs0fUz8LkePmSVPLpdL//rXv3ThhRcGHvvxj3+svXv3Npm58Nu0aZO8Xq/ef/99nXrqqZKkgoICTZo0SV999ZV69+6tRx99VL/85S9VXl6upKQkSdIdd9yhV155RZ988okk6dJLL9WBAwf02muvBV77tNNO08knn6zHHntMhmGod+/euuWWW/Q///M/kqSqqir16tVLzzzzjC677DJLv2OklzyxJCd8Xl3/tW58aX2rcQ9ddrIuOPnY8A8IQMzg3It4xvs3vBYsK9Hjq0pbfD5Se1wdteTJirfffltZWVk64YQTNGPGDO3evTvwXGFhobp16xZIJiRp3LhxSkhI0HvvvReIGTt2bCCZkKSJEydq8+bN2rNnTyBm3Lhxpp87ceJEFRYWSpJKS0tVXl5uinG73Ro9enQgJtawJCe8qNUNoDmcexHPeP+GV229TwtXt5xMSNLC1aVxufwpphOK/Px8Pffcc1qxYoV++9vfauXKlTr33HPV0NAgSSovL1dWVpbp33Tq1EmZmZkqLy8PxPTq1csU4/++tZgjnz/y3zUX05zDhw+rurra9BUpbVmSg7ajVjeA5nDuRTzj/RtezxduVWu5mM9ojIs3Ud1D0ZojlxINHTpUJ510kgYNGqS3335b3/ve96I4MmsWLFig+fPnR+VnV+xr+YQQShzM/LW6Zywqkksy3c2hVjfQcXHuRTzj/Rte2yoP2hoXS2J6huJoAwcOVM+ePfX5559LkjwejyoqKkwx9fX1qqyslMfjCcTs3LnTFOP/vrWYI58/8t81F9OcOXPmqKqqKvD15Zdftun3bQ+W5ITft43tqNUNoBHnXsQz3r/h1T8zzda4WBJXCcVXX32l3bt3Kzu78UItLy9Pe/fu1bp16wIxb775pnw+n0aPHh2IWbVqlerq6gIxy5cv1wknnKDu3bsHYlasWGH6WcuXL1deXp4kKScnRx6PxxRTXV2t9957LxDTnOTkZGVkZJi+IoUlOZFknr+MkToHAKKAcy/imf/9Gwzv39BdmTegSbPhoyW4GuPiTVQTiv3792v9+vVav369pMbNz+vXr9f27du1f/9+3XrrrVqzZo22bt2qFStW6IILLtBxxx2niRMnSpKGDBmi/Px8TZ8+XWvXrtV///tfzZo1S5dddpl69+4tSfrRj36kpKQkTZs2TR9//LEWL16shx56SLNnzw6M48Ybb1RBQYH+8Ic/6JNPPtG8efP0wQcfaNasWZIaK1DddNNN+vWvf60lS5Zo48aNuuqqq9S7d29TVapY4l+S09KlrSGW5LSXvxJGefVh0+M7qw9rxqIiFRSXRWlkAKLFf+6V1CSpYDkkYl1igkvnDws+u37+sGzevyFK6pSg6WNygsZMH5MTl82HozriDz74QKeccopOOeUUSdLs2bN1yimn6O6771ZiYqI++ugjnX/++Tr++OM1bdo0jRgxQqtXrzb1onjhhRc0ePBgfe9739OkSZN05pln6oknngg873a79Z///EelpaUaMWKEbrnlFt19992BHhSSdPrpp+vFF1/UE088oWHDhukf//iHXnnllUAPCkm67bbbdMMNN+i6667TyJEjtX//fhUUFMR0DwqED5UwALTEvxzS42Y5JOJLg8/Qkg3Bb4Yt2VDGZ1s7zJnk1U/H5jSZqUhwRa5kbDjETB+KjiCSfSgafIbO/O2bLVZrcKnxw+2d28/hTkMICrfs1tSFa1qN+9/pp9HYDuigGnyG1pZWqmJfjbLSG5eJcL5FLOOzLXJq6316vnCrtlUeVP/MNF2ZNyCiMxN2X5PGdJUnhI5OzuFFJQwAgNOUV1v7zLIah5YldUrQtDEDoz0M25BQOBQXvOFFJQwAwRQUl2n+0hLTjZ1sd4rmTvGy5Akxq3L/4daD2hCHjiP+dn3AEi54w4tKLgBa4i/YcPQscXlVDQUbENMyuyTZGoeOg4TCoUb0726pNNmI/t0jMyCHoZILgOZQsAHxzONOtTUOHQcJhUOt27bHUnv3ddv2RGZADkQlFwBHa8v+NSDW0IcCoWIPhUOxhyIy8nOzNd7roZILAEmcexHf/LPvMxYVNTvL5hKz72geCYVDsYcichITXFTKAiCJcy/in3/2naICaAsSCoc6uW83W+MAAK3zLxkJtuyJJSOIdcy+o63YQ+FQL763zdY4AEDrEhNcOn9Y8Du45w/L5sIMMc8/+37Byccqb1AP3rMIioTCobbuPmBrHACgdQ0+Q0s2BC8Lu2RDGVWeADgKS54AxLQGn8G0O+JGa1WepG+rPLH3qn04N4QXxxdtQULhUCf37a7n12y3FAfEKroNI95Q5SkyODeEF8cXbcWSJ4fq3c1a0xmrcUCk0W0Y8YgqT+HHuSG8OL4IBQmFQ9EpG/GMbsOIV/4qTy2dfl2iylN7cG4IL44vQkVC4VB0ykY8o9sw4pW/MZikJkmF/3sag4WOc0N4cXwRKhIKhyqvOmRrHBBJrENHPPM3BvO4zcuaPO4UPXrFcNagtwPnhvDi+CJUbMp2qMoDtbbGAZHEOnTEOxqDhQfnhvDi+CJUzFA4VGbXZFvjgEhiHTqA5nBuCC+OL0JFQuFQngxrdw+sxgGRxDp0xLuC4jKdcd+bmrpwjW58ab2mLlyjM+57kwo57cS5Ibw4vggVCYVD+e8yBMNdBsQy1qEjXhUUl+n6RUUqrz6q7GZ1ja6n7Ga7cW4IL44vQuEyDIPaXxFSXV0tt9utqqoqZWRkhP3n+T/UWvIYJwbEAbq1Ip40+AyN+PVy7T1Y12JM97TO+uDO8byP26m23qfnC7dqW+VB9c9M05V5A5TUifukduHc62x2X5O2a1N2bW2tSktLNWjQIHXqxP7uWPPh9uAlYT/cvoeEAjEvMcGlvEE9oj0MwJI1X+wOmkxI0p6DdVrzxW6dcVzPCI3KeZrr5PzkO6V0crYR5160RUip/MGDBzVt2jSlpaXpxBNP1Pbt2yVJN9xwg+677z5bB4jQ1Nb7tHB1adCYhatLVVvvi9CIAMD5CrfstjUOTdHJGYg9ISUUc+bM0YYNG/T2228rJeXbNXbjxo3T4sWLbRscQvd84VZLje2eL9wakfEAQMdgdRUxq41DQSdnIDaFlFC88sorevjhh3XmmWfK5fp2Pd2JJ56oLVu22DY4hO6Lbw7YGgcAaF3eQGvLmKzGwYxOzkBsCmnjw65du5SVldXk8QMHDpgSDERPRbXFbpcW4wAArTttUA91S+scdB9Ft7TOOo216SGhkzOcwmmb3kNKKE499VS9/vrruuGGGyQpkEQ8+eSTysvLs290CFlWhrWGdVbjAACtS0xw6b6LhwatsHffxUPj+sIhmujkDCdorqhAtjslrosKhJRQ3HvvvTr33HNVUlKi+vp6PfTQQyopKdG7776rlStX2j1GhGBgz662xgEArMnPzdZjVwzXvCUfq7z6cOBxT0ay5p1/YtxeMMQCf4+l8qqaZvdRuNTYL4EeS4hV/qICR79//UUF4rXXR8h9KLZs2aL77rtPGzZs0P79+zV8+HDdfvvtGjp0qN1jdIxI9qGorffphLv+rWD/d10uafM951K3GwDCwGlLGmKF/4JMMm9t9x/ZeL0gg/M1+Ayd+ds3W9wH5E+I37n9nLCfK2KmD8WgQYO0cOHCdg8A4ZGY4FJq50QdrG1oMSa1cyIfbgAQJtTxDw9/J+ejl4x44nzJCJyvLUUF4u3cEVJCsWzZMiUmJmrixImmx9944w35fD6de+65tgwOoVtbWhk0mZCkg7UNcfmmjTXchQSAyMrPzdZ4r4dzL+KKk4sKhJRQ3HHHHc02sDMMQ3fccQcJRQxw8ps2ljhxYxUAxANmgBBvenaxVgjHalwsCSmh+Oyzz+T1eps8PnjwYH3++eftHhTaz8lv2ljh1I1VsYYZIMQr3ruIZ7x/w8Dq4YvDwxxSQuF2u/XFF19owIABpsc///xzdenSxY5xob0c/KaNBa11a3WpsVvreK+HE3A7MAOEeMV7F/GM9294fLP/cOtBbYiLJSGV97ngggt00003mbpif/7557rlllt0/vnn2zY4hI7GduFFt9bw888AHX2c/TNABcVlURoZEBzvXcQz3r/h4+Q+KiElFPfff7+6dOmiwYMHKycnRzk5ORoyZIh69Oih3//+93aPESHYVW0tu7UaBzP2qIRXazNAUuMMUIMvpKrXQNjw3kU84/0bXv4+KsFkx2kflZCXPL377rtavny5NmzYoNTUVJ100kkaO3as3eNDiErKq22Ng5mT7zLEAieX1oOz8d5FPOP9G16JCS6dPyxbj68qbTHm/GHZcblUOuQ+FC6XSxMmTNCECRPsHA9s0lrJ2LbGwYxureHFDBDiFe9dxDPev+HV4DO0ZEPwJWNLNpTptvwhcZdUWE4o/vSnP+m6665TSkqK/vSnPwWN/fnPf97ugaF9Rg7orv+U7LQUh7ZLTHBp7hSvZiwqkkvNd2udO8UbdyeEWMEMEOIVFfYQzzj3hldrM0BS/M4AWU4oHnjgAV1++eVKSUnRAw880GKcy+UioYgBV5+eo3uXfdLs3XM/1//FITR0aw0fZoAQt6iwhzjGuTe8nDwDZDmhKC0tbfa/EZuSOiXourE5QdfpXTc2R0mdQtqXj/9Dt9bwYAYI8crJZSHhfJx7w8vJM0Btvpqsq6vToEGDtGnTpnCMBzaaM8mrn47NaXIjzCXpp2NzNGdS0+aEaDt/t9YLTj5WeYN6cKK1iX8GyHNURQyPO4WmgYhZTr5gQMfAuTd8qPJ0hM6dO6umJv6mYjqqOZO8umXCYD1fuFXbKg+qf2aarswbwMyEjegmGj7MACHejMrJVLe0ztp7sK7FmO5pnePyggEdB+fe8KDK01Fmzpyp3/72t3ryySfVqVPIhaIQIQ0+Q1t3H9DW3QdlGAb1o21EN9Hw888AAU7BGRjxgHOv/ajydJT3339fK1as0H/+8x8NHTpUXbp0MT3/8ssv2zI4tN/0597X8pKKwPerP5OeX7Nd471ZWnjVyCiOLP75u4kefXHg7ybK1DDQ8awtrQw6OyFJew/WxWUVFwDtQ5Wno3Tr1k2XXHKJ3WOBzY5OJo60vKRC0597n6QiRK11E3WpsZvoeK8n7u4yAAidk6u4AGgfJ58f2pRQ+Hw+/e53v9Onn36q2tpanXPOOZo3b55SU1PDNT6E6FBtQ4vJhN/ykgodqm1QalJihEblHHQTBdAcNmUDaImT+9S0aWfub37zG/3iF79Q165ddeyxx+pPf/qTZs6cGa6xoR3uXVZiaxzMnHyXAUDo/FVcWpqXdCl+q7gAaCcH96lpU0Lx3HPP6S9/+YveeOMNvfLKK1q6dKleeOEF+Xy+cI0PIdq6+6CtcTDjLiSA5vjr+EtNrwmo42+vBp+hwi279er6r1W4ZTcFRxDznNynpk1LnrZv365JkyYFvh83bpxcLpd27NihPn362D44hG5AjzSt/sxaHNrOSmnIbpSGBDokfx3/eUs+Vnn1txcGvTKSNe/8EynWYIOC4jLNW1Ki8upvZ4E9GSmadz4V9hC7nHwzsk0zFPX19UpJMf+SnTt3Vl1d8IoWiLxfWGxaZzUObcf9R6Cja2mOAu1RUFym6xcVmZIJSSqvrtH1i4pUUBy8LCcQLU5eEtmmGQrDMPTjH/9YycnfbhapqanR9ddfbyodS9nY6EtNStRJfTL00VfVLcac1CeDDdkhslIacg+lIYEOqaWS0jurKSndXg0+Q3e8vDFozJyXN1JhDzHJvyRyxqIiuWTuSRPvSyLbNENx9dVXKysrS263O/B1xRVXqHfv3qbHEH0NPkO79tUGjdm1r5Y1pyFiUzaA5rRWUlpqLCnNuTc0a77YbelmzpovdkdoREDb+JdEetzmFT8ed0pc32xo0wzF008/Ha5xwGZObp4SC5y8DjLWHKpt0L3LSrR190EN6JGmX0zyMrOGmEVJ6fAq3GItUSjcsltnHNczzKNxtgafobWllarYV6Os9MZlOPF45zwW5edma7zX46jjG1JjO8S+o9eWtjcOZv51kMEuHOJ1HWQsodM74g2zl+FmdWaHGaD2KCgu0/ylJabPuGx3iuZOYdO7XRITXI66qdCmJU+IH5UWS45ZjYNZYoJL5w8LflI9f1h2XN9tiDYrnd6BWMPsZXjlDbQ262A1Dk359wAdfcOsvKpxDxCb3tEcEgqH6paWZGsczBp8hpZsCH5SXbKhjHXSIWpLp3cglvhLSgfTnZLSITttUI9Wj2+3tM46zUF3fiOJPUAIFQmFQ+09GHxDdlvjYNaWPSpoOzq9w8m4FAtdYoJL9108NGjMfRcPZXY4RG3ZAwQciYTCoTK7WJt5sBoHM9ZJhxed3hGvrJSU3vt/JaURmvzcbD12xXB5MpJNj3sykvVYHFfJiQV8tiFUbMp2KI871dY4mLFOOrzo9I54xQVZZDixSk4s4LMNoWKGwqH8VYiCoQpR6Jzc7TIW0Okd8YoLssjxV8m54ORjlTeoB8mEDfhsQ6hIKBzK340xmHjtxhgLjjy+Rx/BeO92GQtSkxI13psVNGa8N4t+FIg53MxBPOOzDaEioQBC5NRul7Fi4VUjW0wq6EOBWJWY4FLusRlBY3KPzeCCDDGLzzaEwmUYBgUnIqS6ulput1tVVVXKyAj+gdNeDT5DZ/72zRarNbjUeHJ45/Zz+GBrJ7qJhhedshFPaut9GnzXvxWsqmaCS/rknnOV1Il7eohdfLY5m93XpGzKdqi2lH5zUqfGaHBat8tYk5qUqHsuDF4mEogVzxduDZpMSJLPaIybNmZgZAblUFzwhhefbWgLEgqHotIIAETetkprpYytxqF5BcVlmr+0xHTjLNudorlTvCzJAaKA+VaHotIIAERe/0xrpYytxqGpguIyzVhU1GQWvryqRjMWFamguCxKIwM6LhIKhzqhV7qtcWhZg89Q4ZbdenX91yrcslsNra13AOBYl47sZ2sczBp8huYvLWm227j/sflLSzgPAxHGkieHmv7c+5bj/vmzM8I8Gudi2h3AkRa/v91yHHso2o79gXCK2nqfni/cqm2VB9U/M01X5g2I60INJBQOtSPICTeUODTln3Y/+j6Yf9qd8npAx8MeivBifyCcYMGyEi1cXWoq4PCbZZs0fUyO5sRpw9b4TYUQVO9WGiu1NQ5mTLsDaA57KMKL/YGIdwuWlejxVaVNqsH5DOnxVaVasKwkOgNrJxIKh3rsilNtjYNZW6bdAXQcV+YNUGuVSxNcjXFoO38n8pYOsUt0Ikfsqq33aeHq0qAxC1eXqrbeF6ER2YeEwqGWbPja1jiYMe0OoDlJnRI0fUxO0JjpY3Lieq10NCUmuDR3irfZ2WGp8WbO3Cle+lEgJrWlT0284YzmUKzjDS+m3QG05JR+3dv1PABncvK1GQmFQ/Xtbm19rtU4mPmn3YNh2h3oePz7q1riEvur2oPji3jm5D1WJBQONdhifwmrcTBLTHDp/GHBKzidPyybaXcb0OcD8YT9VeHF8Y2c2nqfnlr9he5+tVhPrf4iLtf1xxon77GibKxDfXPgsK1xMGvwGVqyIXg31iUbynRb/hCSinagzwfiDfurwovjGxkLlpXoiVWlpr0qv359k64bG79lTWOBf4/V46ta3pgdr3us4m/EsKTyQK2tcTBr7S6ZxF2y9vL3+Tj6OPv7fBQUB0/ogGhgf1V4cXzDz1/W9Oi5YEPxXdY0VsyZ5NVPx+Y0malIcEk/jeOEjRkKh+qelmRrHMy4SxZerfX58K+THu/1MAOEmOLfXxXshgP7q0LH8Q2v2nqfnghy91ySnlhVqlsmDI7Lu+ixYs4kr26ZMNhRnbLjd+QIas9BazMPVuNgxl2y8GKdNOIV+6vCi+MbXs++23Rm4mjG/8WhfZI6JWjamIH61QW5mjZmYFwnExIJhWNldrE282A1DmY0VwovZoAQr6zur6K4QGg4vuH1/tY9tsah4yChcCiPO9XWOJj5mysFQ3Ol0DEDhHjF/qrw4viGV5ekRFvj0HGQUDgUfRLCLz83W9e1sLHqurE5VCFqB2aAEK+YXQsvjm94XTy8j61x6DhIKByKdabhV1BcpidWleromXXDaNy0RhWi0B05A3T0O9T/PTNAiEXMroUXxze8Tj+uZ6uzD12SE3X6cT0jNCLECxIKh2KdaXi1VoVIoltre+XnZuvRK4bLc9RMm8edokevGM4MEGLSqJxMdUvrHDSme1pnZtdCxOxleCUmuPSHHw4LGvOHHwzjZg6aoGysQ7VlnWneoB4RGpVztKUKEcc3dPm52Rrv9WhtaaUq9tUoK73xQoEPM8QzbjOEzj97OWNRkVwyH0tmL+2Rn5utx64YrnlLSlReTVNRWENC4VBHngTsiIMZ63gjJzHBRVKGuLG2tFJ7D9YFjdl7sI6bDe3gn72cv7TEdGPHwwWvbfJzs3XO4F6O6pMQa/bX1OvmxR9q+55D6tc9VQ9ceoq6psTvZXn8jhxB7WpldqKtcTBjHS+A5nCzITKYvQyvguKyJgnbk++UkrDZ5PyHV+ujr6oD328u36fceW/opD4ZWjJrTBRHFjpSTYf6uKzK1jiYsY4XQHO42RA5/tnLC04+VnmDepBM2KSguEwzFhU1WdZbXlWjGYuKKDjSTkcnE0f66Ktqnf/w6giPyB4kFA514HC9rXEwowoRgOZQshvxjIIj4bW/pr7FZMLvo6+qtb8m/q7NSCicymXxQtZqHJrwr+PtlUEVIgCNKNmNeNaWgiNou5sXf2hrXCwhoXAoT4a16XSrcQjGfKfGMLhzA3RUlOxGPGMPUHhtqzxoa1wsIaFwqJyeXWyNQ1P+dabl1YdNj++sPsw6U6CDakvJbiDWsAcovNKTrdVCshoXS0goHOrKvAFqbUY9wdUYh7ZjnSmA5lCyG/GMgiPhdenIvrbGxRISCodK6pSg6WNygsZMH5NDTekQsc4UQHO+2Xe49aA2xAGRRMGR8OqbaW1ViNW4WMLVpIPNmeTVT8fmNJmpSHBJPx2bozmTvNEZmAOwzhRAc/YcrLU1Dog0f8ERj5uCI3Yb0b+7pdUjI/p3j8yAbBR/i7TQJnMmeXXVaTk6908rdeBwg7okJ+rfP/+ujs1MjfbQ4hrrTCOnwWfQvApxw+pbk7dw+9XW++jkHCZ0yg6Pddv2qLWV0D6jMS5vUI/IDMomUX1nrFq1SlOmTFHv3r3lcrn0yiuvmJ43DEN33323srOzlZqaqnHjxumzzz4zxVRWVuryyy9XRkaGunXrpmnTpmn//v2mmI8++khjxoxRSkqK+vbtq/vvv7/JWP7+979r8ODBSklJ0dChQ7Vs2bI2jyUWnTTvDZ1x/5uqrmlQgyFV1zTojPvf1Enz3oj20OIateYjo6C4TGfc96amLlyjG19ar6kL1+iM+95kwzti1ugB1i4CrMaheQuWlWjwXf/WPa9v0nOF23TP65s0+K5/a8GykmgPzREKisv03d+9ZTq+3/3dW5x728nJqxuimlAcOHBAw4YN0yOPPNLs8/fff7/+9Kc/6bHHHtN7772nLl26aOLEiaqp+fZAX3755fr444+1fPlyvfbaa1q1apWuu+66wPPV1dWaMGGC+vfvr3Xr1ul3v/ud5s2bpyeeeCIQ8+6772rq1KmaNm2aPvzwQ1144YW68MILVVxc3KaxxJqT5r2h6haao1TX1JNUtENigku5x2YEjck9NoM76e1QUFym6xcVNdm8Wl5do+upooUYlZBo7W/eahyaWrCsRI+vKm1yp9dnSI+vKiWpaCc6ZYePk1c3RDWhOPfcc/XrX/9aF110UZPnDMPQgw8+qDvvvFMXXHCBTjrpJD333HPasWNHYCZj06ZNKigo0JNPPqnRo0frzDPP1J///Ge99NJL2rFjhyTphRdeUG1trf7617/qxBNP1GWXXaaf//zn+uMf/xj4WQ899JDy8/N16623asiQIbrnnns0fPhwPfzww5bHEmt2VR9uMZnwq66p165qNgaGorbepxWbKoLGrNhUodp6X4RG5CwNPkN3vLwxaMyclzdSRQsxp8Ji9SarcTCrrfdp4erSoDELV5dy7g0RFQzDy8lVtGJ2MVxpaanKy8s1bty4wGNut1ujR49WYWGhJKmwsFDdunXTqaeeGogZN26cEhIS9N577wVixo4dq6SkpEDMxIkTtXnzZu3ZsycQc+TP8cf4f46VsTTn8OHDqq6uNn1FykV/ecfWOJg9X7jV0jrI5wu3RmQ8TrPmi93ae7AuaMyeg3Va88XuCI0IsKbygLXN1lbjYMa5N7yoYBheTq6iFbMJRXl5uSSpV69epsd79eoVeK68vFxZWVmm5zt16qTMzExTTHOvceTPaCnmyOdbG0tzFixYILfbHfjq2zdydYUrDwS/GGtrHMyc3O0yFhRusZYoWI0DIiWza7KtcTDj3BteTl7jHyucWkWLKk9hNGfOHM2ePTvwfXV1dcSSim6pnXSwrsFSHNquf2aarXE4mtXpdKbdEVs8GdbWPluNg1nf7tYqFFqNg5mT1/jHkvzcbI33ehxVwTBmZyg8Ho8kaefOnabHd+7cGXjO4/GoosK8jr2+vl6VlZWmmOZe48if0VLMkc+3NpbmJCcnKyMjw/QVKT+02GXRahzM6EQeXnkDe9oaB0TKqJxMpSUlBo3pkpQYl2ukY8Fgj7XPUatxMHPyGv9Yk5jgUt6gHrrg5GOVN6hHXCcTUgwnFDk5OfJ4PFqxYkXgserqar333nvKy8uTJOXl5Wnv3r1at25dIObNN9+Uz+fT6NGjAzGrVq1SXd23S3uWL1+uE044Qd27dw/EHPlz/DH+n2NlLLGmspX1522NgxmdyMPrtEE91C2tc9CYbmmddVqc1emG8zX4DB1qZXb4YF0Dm1pDVGmxIaDVOJg5eY0/wiuqVzv79+/X+vXrtX79ekmNm5/Xr1+v7du3y+Vy6aabbtKvf/1rLVmyRBs3btRVV12l3r1768ILL5QkDRkyRPn5+Zo+fbrWrl2r//73v5o1a5Yuu+wy9e7dW5L0ox/9SElJSZo2bZo+/vhjLV68WA899JBpKdKNN96ogoIC/eEPf9Ann3yiefPm6YMPPtCsWbMkydJYYg1LcsKPTuThk5jg0n0XDw0ac9/FQ/lQQ8x5vnCrjFZyBYNNwyFjSU74OXWNP8LLZRitnfrC5+2339bZZ5/d5PGrr75azzzzjAzD0Ny5c/XEE09o7969OvPMM/WXv/xFxx9/fCC2srJSs2bN0tKlS5WQkKBLLrlEf/rTn9S1a9dAzEcffaSZM2fq/fffV8+ePXXDDTfo9ttvN/3Mv//977rzzju1detWfec739H999+vSZMmBZ63MpbWVFdXy+12q6qqKuzLn2rrfRp817+DVsNIcEmf3HMud9HbiW6t4VNQXKZ5Sz5W+RHljT0ZyZp3/ol8qCEm3f1qsZ4r3NZq3FV5/fWrC3IjMCJnafAZOvO3b6q8qqbZHVQuNV74vnP7OdxwaKcGn+GoNf4ws/uaNKoJRUcTyYRCkqY/976Wl7TcK2G8N0sLrxoZ9nEA7cGHGuLJU6u/0D2vb2o17q7JQzRtzMAIjMh5/I3XJHNZBv9Zgbvo9uDc62x2X5NS4sehGnyGir8O3vei+OtqNfgMThCIaf6Na0A8uDJvgH6zbFOrs8MUbAidf0nO/KUlpp4JHneK5k7xkkzYoKC4rMnxzeb4IggSCodqrTmN9G1zGi7WEMu4S4Z4ktQpQd8bkhV0dvh7Q7JYFtlO+bnZ+u7xWbp3WYm27j6oAT3S9ItJXqW2UmELrfPPAB2dE5dX1WjGoiJmgNAsEgqH+nqPtaY+jXEkFIhNjXsoSlRefcRdyIwUzTufu2SITcwOR8aCZSVauLo0MBO0+jPphfe2a/oYCmK0R4PP0PylJc3uTzHUuKxs/tISjfd6eP/ChFskDvXGxy138A4lDoi0guIyXb+oyJRMSFJ5dY2uX1SkguKyKI0MaFlbZocRmgXLSvT4qtImy8p8hvT4qlItWFYSnYE5QGvvX0O8f9E8EgqHOlhbb2scEEkNPkN3vLwxaMyclzdSyx8x5+gEuL1xMKut92nh6tKgMQtXl6q23hehETlLxT5r70urceg4SCgcKi3J2mo2q3FAJK35Yrf2ttJ0cc/BOq35YneERgRYU7n/cOtBbYiD2fOFW4NueJcaZyro8xEa+nwgVCQUDjXxRI+tcWhZg89Q4ZbdenX91yrcspu75jYo3GItUbAaB0RKt9TgHd7bGgezbZXW9gdajYPZqJxMZbtTmnTJ9nOpsdrTqJzMSA4LcYDb0w6V7U61NQ7No7ReePgMa8sVrMYBkVJ5sNbWOJj1z0yzNQ5miQkuzZ3i1YxFRXKp+T4fc6d42ZCNJpihcCqrf+ucE0LmL6139AY2f2k9Ng2Hrntasq1xQKTsPRR8qV5b42B2Zd4AtXYtS5+P9vH3+fC4zcuaPO4USsaiRcxQOFTFPmvrc63GwYzSeuHVM91aomA1DogYqyseWRkZkqROCZo+JkePr2p5Y/b0MTn0+Win/Nxsjfd66AEEy/iLcyg2BoYXpfXCy5NhbcOf1TggUrqlJdkah6bmTPLqp2NzmkywuyT9dCx9KIBoYIbCoTK7WPuwshoHM0rrhZd/Y2CwpI2NgYhFmWnWNltbjUPzTunXXcekf62Kfd/uRTkmPUmn9OsexVE5B/sD0VbMUDiUx+Jma6txMKO0XnglJrh0/rDgH1rnD8tm+h0xhz0U4edvenlkMiFJFftqaXppA/YHIhQkFA41on93SxvXRvTnbk4oOL7h1eAztGRD8A+tJRvKKNGLmNPd4lImq3Ewa/AZuvGl9UFjbnxpPeeGELW2P1Bq3B/I8cXRSCgcat22PZaa/6zbticyA3IYjm94tbZHRWKPCmLTHovlYK3GweydT3fpcCtdsA/X+/TOp7siNCJnYX8gQkVC4VDlVYdsjYMZeyjCi+OLeMX+tfB6YvUXtsbBjHMvQkVC4VCVByw2V7IYB7OeXSyWNbUYBzP2qCBesX8tvHa0MnPZ1jiYce5FqEgoHIrSheHlM6ytH7UaBzN/laeWtqm4RJUnxCb/ezcY3ruh651h7TPLahzMeP8iVCQUDrXX4vpcq3Ewe8/i+lGrcTBLTHBp7hRvi72/DElzp3ip8oSY43/vBkuGee+GbszxWbbGwSwxwaXcYzOCxuQem8H7F02QUDgUlUbCy7A482A1DoBz5Odm69Erhje505vtTtGjVwynjn879LK4VMxqHMxq631asakiaMyKTRWqbWVjPFpXW+/TU6u/0N2vFuup1V/E/TGlsZ1DUWkkvLpZbEplNQ5m/tKFLXGpsXTheK+HO2WISfm52Rrv9WhtaaUq9tUoK71xmQjv1/bxZFhbu281DmbPF261VMHw+cKtmjZmYGQG5UALlpVo4epS07H+zbJNmj4mfju9M0PhUFQaCa+eFjekWY2DGaULATSHNf7hta3yoK1xaGrBshI9vqq0SeLmM6THV5VqwbKWb6bFMmYoHKpnV4tViCzGwSwzxdrMg9U4mFG6EPGuoLhMc1/9WDv3HQ481is9WfMvOJElT+3g36MyY1GRJJn2WfnnftijErr+mWm2xsGstt6nhatLg8YsXF2qWyYMVlKn+LrnH1+jhWWflO+zNQ5myz/ZaWsczChdiHhWUFym6xcVmZIJSdq577CuX1SkguLgXeARnH+PiueomQoPe1Ta7cq8AXK1kou5XI1xaLu2LCmLN8xQONTmndW2xsGs9Jv9tsbBzL+sobyqptlKTy41XjywrAGxpsFnaPbfNgSNueVvG9j/007sUQmPxASXUjsn6mBtQ4sxaZ0TOc4hcvKSMmYoHGrZRztsjYNZTZ21agxW42DmX9YgqUn5TZY1IJa9+/k3QS/GJOlAbYPe/fybCI3IuWrrfVq2cYf+se4rLdu4I+6r5MSCtaWVlt6/7F8LjZOXlJFQOFRNnbVypVbjYHa8J93WODTFsgbEo38WfWVrHJo3/bn3NeTuAj2/ZrtWf/aNnl+zXUPuLtD0596P9tDiGvvXwuvKvAFq7T5YQpwuKSOhcKjkztb+11qNg1kni3fGrcahefm52XrzlrN05Wn9NOY7PXXlaf305i1nkUwgZh2srbc1Dk1Nf+59LS9pvlfC8pIKkop2YP9aeCV1StD0MTlBY6aPyYm7DdkSCYVjXTz8WFvjYHZSn262xqF5C5aV6MS55ruQJ84tiNuyenC+kQN62BoHs0O1DS0mE37LSyp0qJVlO2ief/9asE7vlOVtnzmTvPrp2JwmMxUJLumnY+lDgRhTXnXI1jiYVR+qszUOTTm1Vjec7erTB7R4Mebn+r84tN29Fv/urcbBjP1rkTFnklef3HOu7po8RFfl9dddk4fok3vOjdtkQiKhcKyy6sOtB7UhDmbdUi12yrYYBzOrtbrZhIlYk5jgUmpSYtCY1CSq5IRq625r1W+sxqEp9q9FRlKnBE0bM1C/uiBX08YMjMtlTkeibKxDHTxsbbrXahzMKg/W2hoHs7bU6p42ZmBkBgVYYKVKzsH/q5KTN4hlT201oEeaVn9mLQ6hoywv2iq+0yG0aGBPaydTq3Ew22txKZPVOJg5uVY3nI0qOeH1C4tLQqzGoWWU5UVbMEPhUL27pdoaBzPDYrVdq3Ewc3KtbjgbVXLCKzUpUeO9WUE3Zo/3ZrW67AzBHV1Ja/Vn0vNrtmu8N0sLrxoZxZEhVjFD4VDD+1mrwGA1Dmbd05JsjYOZk2t1w9lG9O9uaVP2iP7dIzEcR/p05752PY/gKMuLUJBQOFR3i5uBrcbBrEcXa4mC1TiYOblWN5zt/dJKtTYxafxfHNqu6mCdtu0OXp1w2+5DqjrIctNQUJYXoeLT2KFeeH+7rXEw22Nxs7XVODTl1FrdcLbCL76xNQ5m1zz9nq1xMKMsL0LFHgqH+tLiZlWrcTDLSLH2p2M1Ds2bM8mrWyYM1vOFW7Wt8qD6Z6bpyrwBzEwghlmtgkO1nFBQNja8OL4IFVc7DtU12dr/WqtxMPvo6yrLcT9g/1q7+Gt1A/Egb1APPfzW55bi0HadLd5MsBoHM8ryIlT8xTnUBaf0tjUOZvUN1srnWY0D4AzD+1nbbG01DmaThnpsjYMZZXkRKhIKh3r1wx22xsHs0537bY1Dyxp8hgq37Nar679W4Zbdamit4x0QRS++t83WOJjV1Vv7+7caB7PUpET17xG8nHz/HqmU5UUTrHdxqCqLm4GtxsEsubO1XNxqHJpXUFym+UtLVFb1bROwbHeK5k7xKj83O4ojA5q3dfcBW+Ng5rK49cRqHMxq6336sjJ4Fa0vKw+ptt7HXjaY8G5wqBqLHS2txsFsYM8utsahqYLiMs1YVGRKJiSpvKpGMxYVqaC4LEojAxAt/TKtnVOtxsHs+cKtam0S2Gc0xgFHIqFwqGO7WevCajUOZuOHWFufazUOZg0+Q/OXljRbz9//2PylJSx/QswZeqzb1jiYHZ/V1dY4mG2zWPnRahw6DhIKh9pjsamP1TiY7a2xdtysxsFsbWllk5mJIxmSyqpqtJbmYO1Wub9WE/74tk6e/x9N+OPbqtzPMsj22GixApzVOJi9t3W3rXEw659prXqT1Th0HOyhcKjMLkmSWl+jm0kn55Bkplk7blbjYFaxr+VkIpQ4NG/kr5dr1xEJxN5DdRr+6+U6pmuS3r9zfBRHBjRvx15rf/NW42B26ch+uuf1TZbigCMxQ+FQdQ0WK2FYjINZ8Q5rdxetxsEsK93aUjyrcWjq6GTiSLv212rkr5dHeETOwBr/8OrtDl6BqK1xMFv8/nZb49BxkFA41Hd6WVs/ajUOZis27bQ1DmajcjKV7U5psZewS43VnkblZEZyWI5Rub+2xWTCb9f+WpY/hYA1/uGVkWJtYYXVOJixhwKhIqFwqM6JFruJWowDIikxwaW5U7zNbsqWGvdQzJ3iVWICtSFDcdkT79oah2+9v83avh6rcTArKbM262s1DmbsoUCouJp0qGF9utkaB7NzBmfZGoemPty+p13Po2U79x22NQ5HsprkkgyHYkeQYg2hxMHsyrwBau0+TYKrMQ44EgmFQ1VUW9zUajEOZp0SrP3pWI2DWW29TwtXlwaNWbi6VLX0UQlJZ4szO1bj8K3RFpfhWY2D2bHdrN0ZtxoHs6ROCZo+JidozPQxOTS1QxO8IxzqtY922BoHs6/2Bu8k2tY4mNFcKby+O7inrXFApHh7Z9gah6bmTPLqp2NzmsxUJLikn47N0ZxJ3ugMDDGNXUsOVWFxqYLVOJixzjS82BgYXl5PN/1TrXca93q6hX8wDrPmC2v9D9Z8sVtjjj8mzKNxnnSLm62txqF5cyZ5dcuEwXq+cKu2VR5U/8w0XZk3gJkJtIh3hkNZrQZL1djQWF0/yjrT0JCwhRfrpMPna4uzklbjYPb0O8GXQrY1Di1L6pSgaWMG6lcX5GramIEkEwiKd4dDZbuTbY2DWUNr63HaGAczLnjDi3XS4dO7m8U+CRbjYLZrv7V9f1bjANiDTwuHOqVfd1vjYHbvshJb42DGBW/4sU46PM44ztq+E6txMLNah4F6DUBkscjQoeac69UL731pKQ5tt6Vin61xaMp/Qbtwdalpg3aCqzGZ4IK3/Vgnbb/TBvZQt7TO2nuwrsWY7mmdddrAHhEclXMc607W5orW904dy+w7EFEkFA618WtrTX02fl2lvEF8sLXVNxY7CFuNQ/O44A0//zpp2CMxwaVLT+2jx1e1vIb/h6f2oSljiBoszjxYjQNgDxIKhyqvsrbhz2oczDK7JksVB6zFoV244EU8afAZWvzBV0FjFn/wlW7LH0JSEYJ6i/vSrMYBsAe3+Ryq8oC1O+NW42BWW9dgaxwAZ1izZXfQ5U6StPdgndZssVZeFmZJnRNtjQNgDxIKh7J6Z5w76KFxp3W2NQ6AM7zz2S5b42B2/rBsW+PQsgafocItu/Xq+q9VuGU3VQsRFEueHMqTkWJrHMzqLDbwsBoHwBk++nqvrXEws7pMjOVk7VNQXKb5S0tUVvVt+d1sd4rmTvEqP5dkDU0xQ+FQo3Iy1a2Vu+Pd0jprVE5mhEbkLEOP7WZrHABnOFRnbTew1TiYfbjdWsERq3FoqqC4TDMWFZmSCUkqr6rRjEVFKigui9LIEMtIKDow7t+E7kyLNeStxgHRcqi2QXe9slFXPvWe7nplow7Vsu+nPVItViCzGgezLknW9kZYjYNZg8/Q/KUlam5u3f/Y/KUlLH9CEyx5cqi1pZWtbgzcc7BOa0srKRsbgpEWZ3asxqFlDT5Da0srVbGvRlnpKRqVk8lyBptMf+59LS+pCHy/+jPp+TXbNd6bpYVXjYziyOLXSf266b9fVFqKQ9tNGXas/rV+h6U4tN3a0somMxNHMiSVVdVw7YAmuEXiUGV7rZWDtRoHs8LPv7E1Ds0rKC7Tmb99U1MXrtGNL63X1IVrdOZv32TK3QZHJxNHWl5SoenPvR/hETnD6TnWZiWtxsHs053VtsbBrGJfy8lEKHHoOEgoHOrDL/fYGgezJ1Z/YWscmmIdb/gcqm1oMZnwW15SwfKnUFidPGOSLST/b9NOW+NglpVurVCL1Th0HCQUDnWovt7WOJhVHjhsaxzMWMcbXvcuK7E1Dt96d4u1WUmrcUAkDT3WbWscOg4SCof6yGKFC6txMNu1z1qiYDUOZm1Zx4u227r7oK1x+NZHX1k891qMg9l4r8fWOJj9tmCTrXHoOEgoHMpnWLtzazUOZq5m752HHgcz1vGG14AeabbG4VvJFqs3WY2D2VV5A2yNg1npNwdsjUPHwRnNoWos1ji3Ggez5M7WCqRZjYMZ63jD6xeTvLbG4Vt7DwWvrtfWOJit/3KvrXEwS+1srdyu1Th0HCQUDtW7u7ULLatxMDvDYn8Jq3EwozFjeCV1Smj1DnlypwQlcRe9zVI6WztmVuNgxuxleE040dpSMatx6Dg4ozlUfYO1pTZW42Bm9UKLC7LQ1dUHnz2ra2B2LVRrSyt1uJXje7jexx6VEAw6pqutcTDr2SXZ1jiY9elubZmj1Th0HFztOFS31CRb42B2Yu8MW+NgtuaL3TrQSsnSA4cbtOaL3REakbNwlzd8WE4WXrV11koZW42D2aicTGW7g69cyHanMDuMJkgoHKq2lbuPbY2D2YpNwWv4tzUOZu9abAhoNQ5m7FEJn9SkRJ3UJ/iNhJP6ZCg1iTXooXjyv6W2xsEsMcGluVO8LbZJcUmaO8WrxAQaqcCMhMKhTrRYI9pqHMz219TaGgezry12cLcaBzP/XchgFw3chQxNg8/Qrn3B/+537aulh0qI9h6ydk61Goem8nOz9egVw+XJMN9QyHan6NErhis/NztKI0MsI6FwqJ5drS1lshoHs90HrFVosRqHo1gtZ0zZ45D470JKTRs2+7/nLmRoWuuhItFDpT2SEy2W5bUYh2DM51eD8y2C4C/OoTLTrCUKVuNgdky6tQ1/VuNgdqzFDX9W49BU4C7kUeulPdyFbBf2p4RXty4W9wdajENTBcVlmrGoSOXV5sasO6sPa8aiIhUUl0VpZIhlFMl3qJ0WOzRbjYNZtjvV1jiYndqvu61xaF5+brbGez1aW1qpin01ykpvXObEzEToMpKsfaxajYNZerK142Y1DmYNPkPzl5Y025LVUOMM5vylJRrv9XCegAkzFA61bOMOW+Ng9t/PrG22thoHs/+3aaetcWhZYoJLeYN66IKTj1XeoB5cJLTTC+9vtzUOZsd70m2Ng1lrS/YMsWQPzSOhcKhvqq1tVrUaB7PKg/W2xsHsox1VtsYBkbK98qCtcTDbVFZtaxzMWLKHUJFQOFT1YWvlYK3GwYzGduGVkRK8S3Zb44BI6WpxqY3VOJit327tJoLVOJhRUhqh4mrHoawuW2B5Q2guHnGsrXEwuzZvgK1xQKQM7W1tqY3VOJglJlirNGQ1DmYj+ndXa5cFCa7GOOBIJBQOZbXGObXQQ3O4ztrMjtU4mH1hcTmI1TggUlZ+Zq17u9U4mHVOsHbZYjUOZuu27VFrlwU+ozEOOBJ/cQ51TFdrS0GsxsHs03Jr63OtxsFsW+UBW+OASKlvsHaTxmoczI5xW1tqYzUOZuyhQKhIKByqwbC2lMlqHMwq9llrWGc1Dkexeq3FNRlizGBPV1vjYHbcMdaOm9U4mNHDCqEioXCovpnWGn5ZjYPZMRY7jFuNgxkbWxGvfjCsj61xMLs9f4itcTArKbO2md1qHDoOEgqH4oIszKxO7DABFJKyKmvljK3GAZHy3AfW+ktYjYPZhxbX7luNg9n7W60dN6tx6DhIKBzquyf0tDUOZikWy8FajQPgDF/vsVYowGoczP5R9KWtcTAr22vtfWk1Dh0HVzsO9XLR17bGwazW4oZKq3Ew69Pd2lI8q3FApBysa7A1DmZf77W2GdhqHMz4bEOoSCgcqqK61tY4mB1vcUOl1TiYnX6ctZkzq3FApKR2TrQ1DmZ9uqfaGgczt8VmoVbj0HGQUDhUtzRrf+xW42CW08NaomA1DmYjB2TK1cr+E5erMQ6IJV0s7kuzGgezS4Zb28xuNQ5mE0702BqHjoOEwqEmeLNsjYMZVU3Da922PTJaOXgGzZUQgzJSrCUKVuNgdvpxPZXcyt605E4JzF6G6Mdn5Ngah46DhMKhPq/Yb2sczLZ+Y+24WY2DWXm1tfXPVuOASKmtt7Y3wmocmkpNCr5cLK2V59GyxARXq8evS1KiEhMoYQgzEgqH2lFl7ULLahzMNpfvszUOZpX7D9saB0RKisW9EVbjYLa2tFJ7DwZvGLrnYJ3WllZGaETOsra0Ugdrgye7B2obOL5ogoTCoY7tZq36jdU4mNU0+GyNg1lmF4vdWi3GAZFiWGw+YzUOZuUWe89YjYNZxT5rNxmtxqHjIKFwqCGedFvjYJZg8WLAahzMPG5rFVqsxgGRUltvseymxTiYVR6wVpnQahzMstJTbI1DxxHTCcW8efPkcrlMX4MHDw48X1NTo5kzZ6pHjx7q2rWrLrnkEu3cudP0Gtu3b9fkyZOVlpamrKws3XrrraqvrzfFvP322xo+fLiSk5N13HHH6ZlnnmkylkceeUQDBgxQSkqKRo8erbVr14bld7bL3hprJ1OrcTA70+KGP6txMBvRv7taW6Kb4GqMA2JJn+7WLrSsxsEss2uyrXEwG5WTqWx38PdmtjtFo3KosAezmE4oJOnEE09UWVlZ4Oudd94JPHfzzTdr6dKl+vvf/66VK1dqx44duvjiiwPPNzQ0aPLkyaqtrdW7776rZ599Vs8884zuvvvuQExpaakmT56ss88+W+vXr9dNN92kn/zkJ3rjjTcCMYsXL9bs2bM1d+5cFRUVadiwYZo4caIqKioicxBCUF5lbW251TiYjfnOMbbGwWzdtj3ytXID10eVJ8SgE7PdtsbBzJNhLRGzGgezxASXzh+WHTTm/GHZbMpGEzGfUHTq1Ekejyfw1bNn4x3fqqoqPfXUU/rjH/+oc845RyNGjNDTTz+td999V2vWrJEk/ec//1FJSYkWLVqkk08+Weeee67uuecePfLII6qtbbwz/9hjjyknJ0d/+MMfNGTIEM2aNUvf//739cADDwTG8Mc//lHTp0/XNddcI6/Xq8cee0xpaWn661//GvkDYlHPrtbWlluNg9lwi3fGrcbB7KvKA7bGAZHSw+I51WoczE7u283WOJg1+Awt2VAWNGbJhjI1tHbHBx1OzCcUn332mXr37q2BAwfq8ssv1/bt2yVJ69atU11dncaNGxeIHTx4sPr166fCwkJJUmFhoYYOHapevXoFYiZOnKjq6mp9/PHHgZgjX8Mf43+N2tparVu3zhSTkJCgcePGBWJacvjwYVVXV5u+IqXI4p1bq3EwW7Rmm61xMPtPyc7Wg9oQB0TK3kPBKxC1NQ5mi9ZstTUOZmtLK1XWSvXHsqoaqjyhiZhOKEaPHq1nnnlGBQUFevTRR1VaWqoxY8Zo3759Ki8vV1JSkrp162b6N7169VJ5ebkkqby83JRM+J/3Pxcsprq6WocOHdI333yjhoaGZmP8r9GSBQsWyO12B7769u3b5mMQqp37rC1lshoHs7Wl39gaB7NDddaqY1mNAyKlS7K1crBW42C25ovdtsbBjB5ACFVMJxTnnnuufvCDH+ikk07SxIkTtWzZMu3du1d/+9vfoj00S+bMmaOqqqrA15dffhmxn91aHem2xsGM4xteOT2tlTO2GgdEyt8+sHaetxoHsy27rC1ztBoHM3oAIVQxnVAcrVu3bjr++OP1+eefy+PxqLa2Vnv37jXF7Ny5Ux6PR5Lk8XiaVH3yf99aTEZGhlJTU9WzZ08lJiY2G+N/jZYkJycrIyPD9BUpaZ2srW+0Ggeznl2tbfizGgezX0zy2hoHREpFtbXKeVbjcDSrn1l8toWiW2pnW+PQccRVQrF//35t2bJF2dnZGjFihDp37qwVK1YEnt+8ebO2b9+uvLw8SVJeXp42btxoqsa0fPlyZWRkyOv1BmKOfA1/jP81kpKSNGLECFOMz+fTihUrAjGxqHMna3/sVuNg1ifTWv8Dq3EwS01K1HhvVtCY8d4spSaxbASxpVOiteo3VuNg1tti7xmrcTBjDxBCFdMJxf/8z/9o5cqV2rp1q959911ddNFFSkxM1NSpU+V2uzVt2jTNnj1bb731ltatW6drrrlGeXl5Ou200yRJEyZMkNfr1ZVXXqkNGzbojTfe0J133qmZM2cqObmxRvX111+vL774Qrfddps++eQT/eUvf9Hf/vY33XzzzYFxzJ49WwsXLtSzzz6rTZs2acaMGTpw4ICuueaaqBwXKwYdY61hndU4mJ0+0Fp/CatxaOqS4X3a9TwQDeOHBE+E2xoHs+lnDLQ1Dmb0+UCoOkV7AMF89dVXmjp1qnbv3q1jjjlGZ555ptasWaNjjmms7f/AAw8oISFBl1xyiQ4fPqyJEyfqL3/5S+DfJyYm6rXXXtOMGTOUl5enLl266Oqrr9avfvWrQExOTo5ef/113XzzzXrooYfUp08fPfnkk5o4cWIg5tJLL9WuXbt09913q7y8XCeffLIKCgqabNSOJaMGZmrF5tb7ZIwaSHOaUIzMyZRLwSfVXf8Xh7Zr8Bmav7SkxeddkuYvLdF4r4d66IgpY7+TpYXvbLUUh7br1NnafVCrcTCjzwdCFdMJxUsvvRT0+ZSUFD3yyCN65JFHWozp37+/li1bFvR1zjrrLH344YdBY2bNmqVZs2YFjYkl3mxr+zWsxsFs3bY9ra7QNf4vLm9Qj0gMyVFaK11o6NvShRzf9mnwGVpbWqmKfTXKSm/sgEuS1g5WDx2HOCRtqfI05ngai7aVv1N2sPMvnbLRnJhOKBC6nRZLulmNg1nFPmvHzWoczDi+kVFQXKb5S0tMFw/Z7hTNneJVfm7wbrloHhe84fVl5UFb42CWmODS3ClezVhUJMk8C+/PgedO8XLTAU0wJ+hQb3wcvEdGW+NglpVubbrXahzMOL7hV1BcphmLiprciSyvqtGMRUUqKA7eLRfN+2qPtQtZq3Ew27Xf2k0Eq3FoKj83W49eMVwet/n86nGn6NErhnOzAc1ihsKh9h22VoHBahzMRvTvrgSX5Auy7inB1RiHtuP4hpd/j0pzh9cQe1Taw7BYrdRqHMx2H7BWbtdqHJqXn5ut8V4PyyFhGTMUDlW539rJ1GoczNZt2xP0YldqvBhet21PZAbkMBzf8GrLHhW0za59h2yNg1myy2drHFqWmOBS3qAeuuDkY5U3qAfJBIIioXConhZLulmNg1l5lbWLAatxMCu3uLfHahzM2KMSPtsrrR0zq3EwK91jrUOz1TgA9iChcKhBWV1tjYNZpcXpdKtxMKvcb+1iwGoczNijEj71Pmt3xq3GwezAYWvHzWocAHuQUDjUz8853tY4mHVLS7I1DmaZXawdN6txMPOXhmxpAYNLlIYMVXInax+rVuNgZnXrCVtUgMjijOZQv/jXR7bGwWzvQWszD1bjYOZxp9oaBzN/aUipaTsESkO2T+dEax+rVuMAIB5wRnOobbutlSS0Ggez9JTOtsbBzH8HPRjuoLcPpSHD41Btva1xQLQ0+AwVbtmtV9d/rcItu9XQWqUMdGiUjXWohgZrH1ZW42C2vMRa/47lJeX64ci+YR6N8/jvoF//f82VmsMd9PajNCSA5tD0Em1FQuFULouTT1bjYHKorsHWOCBa/KUhYY8uKZ2l6taXOnZh9hIxyt/08uj5CH/TS2Yw0RyuJh3K6tQkU5ih6ZeZZmsczPyN11rib7zG+xex5hiLpbitxsHM6twZc2yhaa3ppcS5F80joXAoNgaGV99u1jYDW42DGY3XEK9IKMKra2drqYLVOJhx7kWouJp0qMyuFstuWoyD2dpt1k6mVuNgRuM1xKterRQTaGsczDLSrC0VsxoHM869CBUJhUPtsdhQzWoczNZ/WWVrHMxovIZ4tWXXflvjYLZ7f52tcTDj3ItQkVA4VPfURFvjYFZXZ+3DymoczEb0767WCg0luBrjgFiys9ranVurcTA73GBt7b7VOJhx7kWoSCgcqvKQtepCVuNgdshitV2rcTBbt22PWtvz5zMa44DYwrbhcLLaYJxG5KHh3ItQ8SfnUFbnHZifCI3VMv2U8w8N63gRr04/zloJXqtxMDstp5utcTDj3ItQkVA41FdBqjSEEgczqmiFF+t4Ea+o8hRePz59kK1xMOPci1BxteNQTAuH18QTj7E1DmYn9+1maxwQKT0tXmhZjYPZB9v32hoHs1E5mcp2p7S4IM+lxo7Zo3IyIzksxAEuJx2qS7K1knlW42DWJdlauV2rcTB78b1ttsYBkZKVbm3mwWoczDZ+vdfWOJglJrg0d4pXUtNdPv7v507xKpH1vDgKCYVDjezvtjUOZl0tJmJW42C2rfKgrXFAxFgtLkQRopB0TrR2IWs1Dk3l52br0SuGy3NUrxSPO0WPXjFc+bnZURoZYlmnaA8A4fHO59YaqlmNg1m5xZKPVuNg1j8zzdY4IFK+OXDY1jiYVR20Vorbahyal5+brfFej9aWVqpiX42y0huXOTEzgZaQUDjUoVpr5WCtxsHs6Ds37Y2D2Y9G99c9r2+yFAfEEja1hldqkrXLFqtxaFligkt5g6hGBmtY8uRQnS3utrYaB7MeXaytf7YaB7P1X+61NQ6IFDa1htfAY7rYGgfAHlxNOtTxx3S1NQ5mPS1uqLQaBzNqoSNeHbmptSVsag3dLyYFP7ZtjQNgDxIKh6ptsLaUyWoczDwZFpc8WYyDGctGEM/yc7M1tE9Gs88N7ZPBptZ2SE1K1HhvVtCY8d4spSbRthWIJBIKh9q255CtcTDzL2sIhmUNoWPZCOLZ9Ofe10dfVTf73EdfVWv6c+9HeETOsvCqkS0mFeO9WVp41cgIjwgAu5YcyvBZq0loNQ5m/mUNMxYVSTJXgKRWd/sdeXxd4vgifhyqbdDykoqgMctLKnSotoG76O2w8KqROlTboHuXlWjr7oMa0CNNv5jk5ZgCUcIMhUN1SrT2v9ZqHJqiVnd4+Y9vrwyOL+LHvctKbI1Dy1KTEnXPhUP1/LTRuufCoSQTQBQxQ+FQg7K66pvSPZbiEDpqdUeCeRbNMJhVQ+zauttas0WrcQAQD7g97VDH90q3NQ6ItILiMs1YVKTyanMDsJ3VhzVjUZEKisuiNDKgZQN6WGu2aDUOAOIBMxQOdXv+ED2/ZrulOISuoLhM85eWqKzq2/Kl2e4UzZ3iZUlOOzT4DM1fWqLm5iIMNe6jmL+0ROO9HmaDEFN+Mclr6dxLWVMATsIMhUNt/LrK1jg05b+DfmQyIUnlVTXcQW+ntaWVTY7rkQxJZVU1WltaGblBARZQ1hRAR0RC4VA0Bguv1u6gS4130BuoohUS3r+IZ5Q1BdDRsOTJoWgMFl5tuYOeN6hH5AbmELx/Ee8WXjVS+2vqdfPiD7V9zyH1656qBy49RV1T+NgF4DzMUDgUjdfCizvo4UVjO8S7guIyjX9gpZZvqtDm8n1avqlC4x9YyVJIAI5EQuFQiQkunT8s+Kbg84dls6E1RNxBDy9/YztJTZIKGtsh1rG/CkBHQ0LhUA0+Q0s2BP/QWrKhjDX+IeIOevjROBDxiP1VADoiFnM6VGtr/CXW+LeH/w76jEVFcsnceo076PahcSDiDfurAHREJBQOxRr/8PPfQZ+35GNT87VeGcmad/6J3EG3SWKCiwsvxA3OvQA6IpY8OVTPrsm2xiGYllb5A+ho2F8FoCMioXAqq8tzWcYbMv/Gy/LqozZeVrPxEuioRvTvrtZW5CW4GuMAwClIKByqvOqQrXEwC7bxUmrM09h4CXQ867btUWt/9j6jMQ4AnIKEwqHWf7XX1jiYtWXTO9qnwWeocMtuvbr+axVu2U2ShpjGHgoAHRGbsh3KsHjNZTUOZswARUZBcZnmLy0xJW/Z7hTNneJl0ztiEnsoAHREzFA4lMvivmCrcTCrPFBraxyaojkY4hE9agB0RCQUDnXSsW5b42CWabE6ltU4mNEcDPGKLu8AOiISCofae6je1jiYeTKsLVewGgeztjQHA2INXd4BdDTsoXCo3fsPtx7UhjiY+Zc1BLvoZVlD6NjYinhHl3cAHQkJhUMVf11laxzM/MsaZiwqkmRu58GyhvZjYyucgC7vADoKljw5VEpna/9rrcahKZY1hA8bWwEAiB/MUDjUMRnWNgNbjUPzWNYQHkfOALnEDBAAALGMhMKhuqVaSxSsxqFlLGsID/8M0NF9KDz0oQAAIKaQUDiU1Tu33OFFLGMGCACA2EdC4VCjczL18FvW4oBYxgwQAACxjR25DpVg8Q6u1TgAAACgOSQUDvWNxf4SVuMAAACA5rDkyaF6drG22dpqHABnavAZ7FEBALQLCYVTWb0e4Lqh3bggQ7wqKC5rUkUrmypaAIA2IqFwqIrqmtaD2hCH5nFBhnhVUFymGYuKTD0+JKm8qkYzFhXRnBEAYBl7KByq8kCtrXFoyn9BdmQyIX17QVZQXBalkQHBNfgMzV9a0iSZkL5tIjh/aYkafM1FAABgRkLhUJldre2NsBoHMy7IEM/WllY2SYSPZEgqq6rR2tLKyA0KABC3SCgcypORYmsczLggQzyr2GdxSaTFOABAx0ZC4VCjcjKV7Q6eLGS7GzcQo+24IEM8y0q3diPBahwAoGMjoXCoxASX5k7xyqWmhZz8j82d4qUaUYi4IEM8899waOmv3yVuOAAArCOhcLD83Gw9esVweY6aqfC4U6jg0k5ckCGe+W84SM3fcJC44QAAsM5lGAa7RiOkurpabrdbVVVVysjIiNjPpU9CePirPEkybc72H1mSNsQ6yh4DQMdk9zUpCUUERSuhQPhwQYZ4xw0HAOh4SCjiGAmFM3FBBgAA4ond16R0ygbaKTHBpbxBPaI9DAAAgKhgUzYAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkJFQAAAAAAgZCQUAAACAkHWK9gA6EsMwJEnV1dVRHgkAAAA6Kv+1qP/atL1IKCJo3759kqS+fftGeSQAAADo6Pbt2ye3293u13EZdqUmaJXP59OOHTuUnp4ul8sV0Z9dXV2tvn376ssvv1RGRkZEf3ZHwPENL45veHF8w4djG14c3/Di+IZXNI+vYRjat2+fevfurYSE9u+AYIYighISEtSnT5+ojiEjI4OTQhhxfMOL4xteHN/w4diGF8c3vDi+4RWt42vHzIQfm7IBAAAAhIyEAgAAAEDISCg6iOTkZM2dO1fJycnRHoojcXzDi+MbXhzf8OHYhhfHN7w4vuHlpOPLpmwAAAAAIWOGAgAAAEDISCgAAAAAhIyEAgA6uLPOOks33XRTtIcBAIhTJBRxpLCwUImJiZo8eXKT5/71r3/ptNNOk9vtVnp6uk488UTTBcK8efN08sknN/l3W7dulcvl0vr16wOPLVy4UMOGDVPXrl3VrVs3nXLKKVqwYEEYfqPI+vGPf6wLL7ww2sMAwibYOSKYl19+Wffcc0/g+wEDBujBBx+0eXTO1dK55e2335bL5dLevXsD/+3/6tWrly655BJ98cUXkR9wjPnxj38cOC6dO3dWr169NH78eP31r3+Vz+cLxA0YMMB0DP1f9913n6TmP8+O9Mwzz6hbt24R+I1in/+YX3/99U2emzlzplwul3784x9Lknbt2qUZM2aoX79+Sk5Olsfj0cSJE/Xf//438G864jmjpfOt/33o/+rRo4cmTJigDz/8MBBz1llnBZ5PSUmR1+vVX/7yl8Dzrb1Xj/ybOfIrPz/f9t/TKhKKOPLUU0/phhtu0KpVq7Rjx47A4ytWrNCll16qSy65RGvXrtW6dev0m9/8RnV1dW3+GX/9619100036ec//7nWr1+v//73v7rtttu0f/9+O38VIGJC+TuIVy2dI1qTmZmp9PT0MI4Mfps3b9aOHTv097//XR9//LGmTJmihoaGaA8r6vLz81VWVqatW7fq3//+t84++2zdeOONOu+881RfXx+I+9WvfqWysjLT1w033BDFkcevvn376qWXXtKhQ4cCj9XU1OjFF19Uv379Ao9dcskl+vDDD/Xss8/q008/1ZIlS3TWWWdp9+7d0Rh2zGjtfPv//t//U1lZmd544w3t379f5557rvbu3Rt4fvr06SorK1NJSYl++MMfaubMmfrf//1fyz/f/zdz5Fdb/r3dSCjixP79+7V48WLNmDFDkydP1jPPPBN4bunSpTrjjDN066236oQTTtDxxx+vCy+8UI888kibf86SJUv0wx/+UNOmTdNxxx2nE088UVOnTtVvfvMbG3+b2FNcXKxzzz1XXbt2Va9evXTllVfqm2++CTx/1lln6ec//7luu+02ZWZmyuPxaN68eabX2L59uy644AJ17dpVGRkZ+uEPf6idO3dKkj799FO5XC598sknpn/zwAMPaNCgQYHvV65cqVGjRik5OVnZ2dm64447TB+mTlBQUKAzzzxT3bp1U48ePXTeeedpy5Ytgee/+uorTZ06VZmZmerSpYtOPfVUvffee4HnX331VQ0fPlwpKSkaOHCg5s+fbzpGLpdLjz76qM4//3x16dLF8e9dv5bOET/60Y906aWXmmLr6urUs2dPPffcc5LMS57OOussbdu2TTfffHPgrpck7d69W1OnTtWxxx6rtLQ0DR06NKofXvEqKytL2dnZGjt2rO6++26VlJTo888/j/awos5/5/vYY4/V8OHD9Ytf/EKvvvqq/v3vf5s+79LT0+XxeExfXbp0id7A49jw4cPVt29fvfzyy4HHXn75ZfXr10+nnHKKJGnv3r1avXq1fvvb3+rss89W//79NWrUKM2ZM0fnn39+tIYedcGuyfx69Oghj8ejU089Vb///e+1c+dO02dZWlqaPB6PBg4cqHnz5uk73/mOlixZYnkM/r+ZI7+6d+9ux68XEhKKOPG3v/1NgwcP1gknnKArrrhCf/3rX+Wv+OvxePTxxx+ruLi43T/H4/FozZo12rZtW7tfK17s3btX55xzjk455RR98MEHKigo0M6dO/XDH/7QFPfss8+qS5cueu+993T//ffrV7/6lZYvXy5J8vl8uuCCC1RZWamVK1dq+fLl+uKLLwIXcscff7xOPfVUvfDCC6bXfOGFF/SjH/1IkvT1119r0qRJGjlypDZs2KBHH31UTz31lH79619H4ChEzoEDBzR79mx98MEHWrFihRISEnTRRRfJ5/Np//79+u53v6uvv/5aS5Ys0YYNG3TbbbcFlj2sXr1aV111lW688UaVlJTo8ccf1zPPPNMkaZg3b54uuugibdy4Uddee200fs2Ia+kccfnll2vp0qWmWcY33nhDBw8e1EUXXdTkdV5++WX16dPHdCdYarxzOWLECL3++usqLi7WddddpyuvvFJr166N2O/oNKmpqZKk2traKI8kNp1zzjkaNmyY6YIX9rr22mv19NNPB77/61//qmuuuSbwfdeuXdW1a1e98sorOnz4cDSGGJOCXZM1x8rfempqanyfCwzEhdNPP9148MEHDcMwjLq6OqNnz57GW2+9ZRiGYezfv9+YNGmSIcno37+/cemllxpPPfWUUVNTE/j3c+fONYYNG9bkdUtLSw1JxocffmgYhmHs2LHDOO200wxJxvHHH29cffXVxuLFi42GhoZw/4phd/XVVxsXXHBBk8fvueceY8KECabHvvzyS0OSsXnzZsMwDOO73/2uceaZZ5piRo4cadx+++2GYRjGf/7zHyMxMdHYvn174PmPP/7YkGSsXbvWMAzDeOCBB4xBgwYFnt+8ebMhydi0aZNhGIbxi1/8wjjhhBMMn88XiHnkkUeMrl27OuL4t2TXrl2GJGPjxo3G448/bqSnpxu7d+9uNvZ73/uece+995oee/75543s7OzA95KMm266KaxjjkUtnSP8//3cc88FYqdOnWpceumlge+/+93vGjfeeGPg+/79+xsPPPBAqz9z8uTJxi233GLb7xCvrr76aiMxMdHo0qWL6SslJcWQZOzZs8d46623Av9tGI3n2tNPP9049thjjcOHD0f3F4iyls7NhmEYl156qTFkyBDDMBrfl0lJSU2O86pVqwzDaPp5drSnn37acLvdYfgN4o//mFdUVBjJycnG1q1bja1btxopKSnGrl27jAsuuMC4+uqrDcMwjH/84x9G9+7djZSUFOP000835syZY2zYsMH0elbPGU4R7Jrs6Pfhnj17jIsuusjo2rWrUV5ebhiG+ZxbX19vPP/884Yk4+GHHzYMo/X3akvnnN/85jdh+X2tYIYiDmzevFlr167V1KlTJUmdOnXSpZdeqqeeekqS1KVLF73++uv6/PPPdeedd6pr16665ZZbNGrUKB08eLBNPys7O1uFhYXauHGjbrzxRtXX1+vqq69Wfn6+aXOck2zYsEFvvfVW4E5M165dNXjwYEkyLcU56aSTTP8uOztbFRUVkqRNmzapb9++6tu3b+B5r9erbt26adOmTZKkyy67TFu3btWaNWskNc5ODB8+PPCzNm3apLy8vMASE0k644wztH//fn311Vdh+M2j47PPPtPUqVM1cOBAZWRkaMCAAZIal4ytX79ep5xyijIzM5v9txs2bNCvfvUr0/8r/zrUI9/rp556aiR+lZgR7BzRqVMn/fCHPwzMjh04cECvvvqqLr/88jb9jIaGBt1zzz0aOnSoMjMz1bVrV73xxhvavn277b9PPDr77LO1fv1609eTTz7ZJK5Pnz7q0qWLevfurQMHDuif//ynkpKSojDi+GAYhumceOuttzY5zh3t791OxxxzTGDJztNPP63JkyerZ8+epphLLrlEO3bs0JIlS5Sfn6+3335bw4cPb3aZT0fQ2jWZ3+mnn66uXbuqe/fu2rBhgxYvXqxevXoFnv/LX/6irl27KjU1VdOnT9fNN9+sGTNmWB5Hc+ec5jbZR0qnqP1kWPbUU0+pvr5evXv3DjxmGIaSk5P18MMPy+12S5IGDRqkQYMG6Sc/+Yl++ctf6vjjj9fixYt1zTXXKCMjQ1VVVU1e279ByP8afrm5ucrNzdXPfvYzXX/99RozZoxWrlyps88+O3y/aJTs379fU6ZM0W9/+9smz2VnZwf+u3PnzqbnXC5Xm5Isj8ejc845Ry+++KJOO+00vfjii206eTjFlClT1L9/fy1cuFC9e/eWz+dTbm6uamtrA9PCLdm/f7/mz5+viy++uMlzKSkpgf/uaGuqWztHXH755frud7+riooKLV++XKmpqW2uBvK73/1ODz30kB588EENHTpUXbp00U033RTfU/Q26tKli4477jjTY83dCFi9erUyMjKUlZXFRngLNm3apJycnMD3PXv2bHKc0T7XXnutZs2aJUkt7r1MSUnR+PHjNX78eN111136yU9+orlz5wYqQXUkrZ1v/RYvXiyv16sePXo0W7Hp8ssv1y9/+UulpqYqOztbCQltu8ff3DknmkgoYlx9fb2ee+45/eEPf9CECRNMz1144YX63//932Yz0gEDBigtLU0HDhyQJJ1wwgn66quvtHPnTlOGXFRUpJSUFFNFh6N5vV5JCryW0wwfPlz//Oc/NWDAAHXqFNqfxJAhQ/Tll1/qyy+/DMxSlJSUaO/evYHjJzWeQG677TZNnTpVX3zxhS677DLTa/zzn/803ZH773//q/T0dPXp06cdv2Hs2L17tzZv3qyFCxdqzJgxkqR33nkn8PxJJ52kJ598UpWVlc3OUgwfPlybN2+OqZNotFk9R/Tt21eLFy/Wv//9b/3gBz9okiAfKSkpqUnlof/+97+64IILdMUVV0hq3Df06aefmt7faF1OTg6lSy168803tXHjRt18883RHoqj5efnq7a2Vi6XSxMnTrT0b7xer1555ZXwDiwGWTnf+m/W9O3b11R05Whut9tRn2UkFDHutdde0549ezRt2rQmswiXXHKJnnrqKZWXl+vgwYOaNGmS+vfvr7179+pPf/qT6urqNH78eEnSxIkTdcIJJ2jq1Kn69a9/LY/Ho6KiIt1555268cYblZiYKEmaMWOGevfurXPOOUd9+vRRWVmZfv3rX+uYY45RXl5exH9/u1VVVTWpUX7ddddp4cKFmjp1aqCK0+eff66XXnpJTz75ZODYBDNu3DgNHTpUl19+uR588EHV19frZz/7mb773e+apuMvvvhizZgxQzNmzNDZZ59tusPxs5/9TA8++KBuuOEGzZo1S5s3b9bcuXM1e/bsNt+5iFXdu3dXjx499MQTTyg7O1vbt2/XHXfcEXh+6tSpuvfee3XhhRdqwYIFys7O1ocffqjevXsrLy9Pd999t8477zz169dP3//+95WQkKANGzaouLjYcZvXrbJyjrj++uv1ox/9SI899pg+/fRTvfXWW0Ffc8CAAVq1apUuu+wyJScnq2fPnvrOd76jf/zjH3r33XfVvXt3/fGPf9TOnTtJKGCLw4cPq7y8XA0NDdq5c6cKCgq0YMECnXfeebrqqqsCcfv27VN5ebnp36alpSkjIyPw/ebNm5u8/oknniipcene0Z8BycnJGjJkiI2/TXxJTEwMLM09+vNu9+7d+sEPfqBrr71WJ510ktLT0/XBBx/o/vvv1wUXXBCN4UaVlfOtXb0gWnuv+v9mjtSpU6cmS9YiJmq7N2DJeeedZ0yaNKnZ59577z1DkvHggw8al1xyidG3b18jKSnJ6NWrl5Gfn2+sXr3aFP/1118bV199tdGvXz8jNTXV8Hq9xn333WfU1tYGYv7xj38YkyZNMrKzs42kpCSjd+/exiWXXGJ89NFHYf09I+Hqq682JDX5mjZtmvHpp58aF110kdGtWzcjNTXVGDx4sHHTTTcFNkgfvWnVMAzTpjXDMIxt27YZ559/vtGlSxcjPT3d+MEPfhDYgHWkH/7wh4Yk469//WuT595++21j5MiRRlJSkuHxeIzbb7/dqKurs/U4RNvy5cuNIUOGGMnJycZJJ51kvP3224Yk41//+pdhGIaxdetW45JLLjEyMjKMtLQ049RTTzXee++9wL8vKCgwTj/9dCM1NdXIyMgwRo0aZTzxxBOB5498rY7Ayjliw4YNRklJSaBww5Eb/w2j6fu7sLDQOOmkk4zk5GTD/zGxe/du44ILLjC6du1qZGVlGXfeeadx1VVXtbiZtiNpaVPxkRuxj96UjW8deW7u1KmTccwxxxjjxo0z/vrXv5oKUvTv37/Zc/hPf/pTwzC+3Qzb3NeXX35pPP30080+d2SxjI4i2EZ4w/j2862mpsa44447jOHDhxtut9tIS0szTjjhBOPOO+80Dh48GIjvKJuyrZ5vFaQ4gGE0f01xpNbeqy1dz5xwwgnt+fXaxWUYQepcAQAAAEAQzlhHAQAAACAqSCgAAAAAhIyEAgAAAEDISCgAAAAAhIyEAgAAAEDISCgAAAAAhIyEAgAAAEDISCgAAAAAhIyEAgAQdmeddZZuuummaA8jINbGAwDxjIQCAAAAQMhIKAAAMae2tjbaQwAAWERCAQCIiPr6es2aNUtut1s9e/bUXXfdJcMwJEkDBgzQPffco6uuukoZGRm67rrrJEm33367jj/+eKWlpWngwIG66667VFdXF3jNefPm6eSTT9bzzz+vAQMGyO1267LLLtO+ffsCMQcOHNBVV12lrl27Kjs7W3/4wx8i+4sDgMORUAAAIuLZZ59Vp06dtHbtWj300EP64x//qCeffDLw/O9//3sNGzZMH374oe666y5JUnp6up555hmVlJTooYce0sKFC/XAAw+YXnfLli165ZVX9Nprr+m1117TypUrdd999wWev/XWW7Vy5Uq9+uqr+s9//qO3335bRUVFkfmlAaADcBn+20MAAITJWWedpYqKCn388cdyuVySpDvuuENLlixRSUmJBgwYoFNOOUX/+te/gr7O73//e7300kv64IMPJDXOUPzud79TeXm50tPTJUm33XabVq1apTVr1mj//v3q0aOHFi1apB/84AeSpMrKSvXp00fXXXedHnzwwfD90gDQQTBDAQCIiNNOOy2QTEhSXl6ePvvsMzU0NEiSTj311Cb/ZvHixTrjjDPk8XjUtWtX3Xnnndq+fbspZsCAAYFkQpKys7NVUVEhqXH2ora2VqNHjw48n5mZqRNOOMHW3w0AOjISCgBATOjSpYvp+8LCQl1++eWaNGmSXnvtNX344Yf65S9/2WTDdufOnU3fu1wu+Xy+sI8XANCIhAIAEBHvvfee6fs1a9boO9/5jhITE5uNf/fdd9W/f3/98pe/1KmnnqrvfOc72rZtW5t+5qBBg9S5c2fTz96zZ48+/fTTtv8CAIBmdYr2AAAAHcP27ds1e/Zs/fSnP1VRUZH+/Oc/B6249J3vfEfbt2/XSy+9pJEjR+r1119vdY/F0bp27app06bp1ltvVY8ePZSVlaVf/vKXSkjgfhoA2IWEAgAQEVdddZUOHTqkUaNGKTExUTfeeGOgPGxzzj//fN18882aNWuWDh8+rMmTJ+uuu+7SvHnz2vRzf/e732n//v2aMmWK0tPTdcstt6iqqqqdvw0AwI8qTwAAAABCxpwvAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIGQkFAAAAgJCRUAAAAAAIWadoD6Aj8fl82rFjh9LT0+VyuaI9HAAAAHRAhmFo37596t27txIS2j+/QEIRQTt27FDfvn2jPQwAAABAX375pfr06dPu1yGhiKD09HRJjf/zMjIyojwaAAAAdETV1dXq27dv4Nq0vUgoIsi/zCkjI4OEAgAAAFFl1xJ8NmUDAAAACBkJBQAAAICQkVAAAAAACBkJBQAAAICQkVAAAAAACBkJBQAAAICQRTWhWLBggUaOHKn09HRlZWXpwgsv1ObNm00xZ511llwul+nr+uuvN8Vs375dkydPVlpamrKysnTrrbeqvr7eFPP2229r+PDhSk5O1nHHHadnnnmmyXgeeeQRDRgwQCkpKRo9erTWrl1rer6mpkYzZ85Ujx491LVrV11yySXauXOnPQcDAAAAiENRTShWrlypmTNnas2aNVq+fLnq6uo0YcIEHThwwBQ3ffp0lZWVBb7uv//+wHMNDQ2aPHmyamtr9e677+rZZ5/VM888o7vvvjsQU1paqsmTJ+vss8/W+vXrddNNN+knP/mJ3njjjUDM4sWLNXv2bM2dO1dFRUUaNmyYJk6cqIqKikDMzTffrKVLl+rvf/+7Vq5cqR07dujiiy8O4xECAAAAYpvLMAwj2oPw27Vrl7KysrRy5UqNHTtWUuMMxcknn6wHH3yw2X/z73//W+edd5527NihXr16SZIee+wx3X777dq1a5eSkpJ0++236/XXX1dxcXHg31122WXau3evCgoKJEmjR4/WyJEj9fDDD0uSfD6f+vbtqxtuuEF33HGHqqqqdMwxx+jFF1/U97//fUnSJ598oiFDhqiwsFCnnXZaq79fdXW13G63qqqqaGwHAACAqLD7mjSm9lBUVVVJkjIzM02Pv/DCC+rZs6dyc3M1Z84cHTx4MPBcYWGhhg4dGkgmJGnixImqrq7Wxx9/HIgZN26c6TUnTpyowsJCSVJtba3WrVtniklISNC4ceMCMevWrVNdXZ0pZvDgwerXr18g5miHDx9WdXW16QsAAABwkk7RHoCfz+fTTTfdpDPOOEO5ubmBx3/0ox+pf//+6t27tz766CPdfvvt2rx5s15++WVJUnl5uSmZkBT4vry8PGhMdXW1Dh06pD179qihoaHZmE8++STwGklJSerWrVuTGP/POdqCBQs0f/78Nh4JAAAAIH7ETEIxc+ZMFRcX65133jE9ft111wX+e+jQocrOztb3vvc9bdmyRYMGDYr0MNtkzpw5mj17duD76upq9e3bN4ojAgAAAOwVE0ueZs2apddee01vvfWW+vTpEzR29OjRkqTPP/9ckuTxeJpUWvJ/7/F4gsZkZGQoNTVVPXv2VGJiYrMxR75GbW2t9u7d22LM0ZKTk5WRkWH6AgAAAJwkqgmFYRiaNWuW/vWvf+nNN99UTk5Oq/9m/fr1kqTs7GxJUl5enjZu3GiqxrR8+XJlZGTI6/UGYlasWGF6neXLlysvL0+SlJSUpBEjRphifD6fVqxYEYgZMWKEOnfubIrZvHmztm/fHogBAAAAOpqoLnmaOXOmXnzxRb366qtKT08P7EVwu91KTU3Vli1b9OKLL2rSpEnq0aOHPvroI918880aO3asTjrpJEnShAkT5PV6deWVV+r+++9XeXm57rzzTs2cOVPJycmSpOuvv14PP/ywbrvtNl177bV688039be//U2vv/56YCyzZ8/W1VdfrVNPPVWjRo3Sgw8+qAMHDuiaa64JjGnatGmaPXu2MjMzlZGRoRtuuEF5eXmWKjwBAAAAjmREkaRmv55++mnDMAxj+/btxtixY43MzEwjOTnZOO6444xbb73VqKqqMr3O1q1bjXPPPddITU01evbsadxyyy1GXV2dKeatt94yTj75ZCMpKckYOHBg4Gcc6c9//rPRr18/IykpyRg1apSxZs0a0/OHDh0yfvaznxndu3c30tLSjIsuusgoKyuz/PtWVVUZkpqMHwAAAIgUu69JY6oPhdPRhwIAAADRZvc1acxUeQIAWNfgM7S2tFIV+2qUlZ6iUTmZSkxwRXtYAIAOiIQCAOJMQXGZ5i8tUVlVTeCxbHeK5k7xKj83O4ojQziQPAKIdSQUABBHCorLNGNRkY5eq1peVaMZi4r06BXDSSochOQRQDyIiT4UAIDWNfgMzV9a0iSZkBR4bP7SEjX42BrnBP7k8chkQvo2eSwoLovSyADAjIQCAOLE2tLKJheXRzIklVXVaG1pZeQGhbAgeQQQT0goACBOVOxrOZkIJQ6xi+QRQDwhoQCAOJGVnmJrHGIXySOAeEJCAQBxYlROprLdKWqpvo9LjRt2R+VkRnJYCAOSRwDxhIQCAOJEYoJLc6d4JalJUuH/fu4ULyVFHYDkEUA8IaEAgDiSn5utR68YLo/bfGfa406hZKyDkDwCiCcuwzAoEREhdrc5B9Bx0eysY6APBYBwsPualMZ2AADEqPzcbI33ekgeAcQ0EgoAiDPcte5YEhNcyhvUI9rDAIAWsYcCAOII3ZMBALGGhAIA4gTdkwEAsYiEAgDiBN2TAQCxiIQCAOIE3ZMBALGIhAIA4gTdkwEAsYiEAgDiBN2TAQCxiIQCAOIE3ZMBALGIhAIA4kh+brYevWK4PG7zsiaPO0WPXjGcPhQAgIijsR0AxJn83Gx99/gs3busRFt3H9SAHmn6xSSvUpMSoz00AIAFDT5Da0srVbGvRlnpjUtV43l2mYQCAOLMgmUlWri6VP52E6s/k154b7umj8nRnEne6A4OABBUQXGZ5i8tMZUBz3anaO4Ub9zOMrPkCQDiyIJlJXp81bfJhJ/PkB5fVaoFy0qiMzAAQKsKiss0Y1FRk55C5VU1mrGoSAXFZVEaWfuQUABAnKit92nh6tKgMQtXl6q23hehEQEArGrwGZq/tERGM8/5H5u/tEQNR98xigMkFAAQJ54v3NpkZuJoPqMxDgAQW9aWVjaZmTiSIamsqkZrSysjNyibkFAAQJwo3X3A1jgAQORU7Gs5mQglLpaQUABAnLBa/yN+64QAgHNlpae0HtSGuFhCQgEAceKUvt1tjQMARM6onExlu1NavOnjUmO1p1E5mZEcli1IKAAgTmR3S7U1DgAQOYkJLs2d0lja++ikwv/93CneuOxHQUIBAHHCf3crmHi9uwUAHUF+brYevWK4PEedyz3uFD16xfC47UNBYzsAiBP+u1szFhVJkqn0YLzf3QKAjiI/N1vjvR5Hdcp2GYYRf8Vu41R1dbXcbreqqqqUkZER7eEAiFMFxWWat6RE5dXO6bIKAIgcu69JWfIEAHHJfC+Ie0MAgGghoQCAOFJQXKYZi4pUXn3Y9PjO6sOasahIBcVlURoZAKCjIqEAgDjR4DM0f2mJmpuL8D82f2mJGlprpw0AgI1IKAAgTqwtrVRZVcsdVA1JZVU1WltaGblBAQA6PBIKAIgTFftaTiZCiQMAwA4kFAAQJ7LSg/egaGscAAB2IKEAgDjhb2zXUqVyl2hsBwCIPBIKAIgT/sZ2kpokFTS2c65DtQ2665WNuvKp93TXKxt1qLYh2kMCABMa20UQje0A2KGguEzzl5aYNmjT2M6Zpj/3vpaXVDR5fLw3SwuvGhmFEQFwAruvSUkoIoiEAoBdaut9er5wq7ZVHlT/zDRdmTdASZ2YdHaSlpIJP5IKAKGy+5q0kw1jAgBEUHMzFE++U8oMhYMcqm0ImkxI0vKSCh2qbVBqUmKERgUAzeN2FgDEEX+n7KP7UZRX1dAp20HuXVZiaxwAhBMJBQDECTpldxxbdx+0NQ4AwomEAgDiBJ2yO44BPdJsjQOAcCKhAIA4QafsjuMXk7y2xgFAOJFQAECcoFN2x5GalKjx3qygMeO9WWzIBhATSCgAIE7QKbtjWXjVyBaTCkrGAogllI0FgDjh75Q9Y1GRXJJpczadsp1p4VUjdai2QfcuK9HW3Qc1oEeafjHJy8wEgJhCY7sIorEdADvQKRsA0B40tgOADi4/N1vjvR6tLa1Uxb4aZaU3LnNiZgIAEA0kFAAQhxITXMob1CPawwAAgE3ZAAAAAEJHQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAEJGQgEAAAAgZCQUAAAAAELWKdoDAAC0XYPP0NrSSlXsq1FWeopG5WQqMcEV7WEBADogEgoAiDMFxWWav7REZVU1gcey3SmaO8Wr/NzsKI4MANARseQJAOJIQXGZZiwqMiUTklReVaMZi4pUUFwWpZEBADoqEgoAiBMNPkPzl5bIaOY5/2Pzl/5/9u48PKryfv/4PZOQDUggQEhQTCJUIQbZBIwKamWJUFzbuuEuVgSrohZRK6JVqq11qRaVWrAiVfsrLihGKciiBFAQNQZQMAGVxCCBhC0kZJ7fH/nOlCHbSZhk5px5v64r18XM3Jk8Jxlmzuc8W76qPXUlAABoGRQUAGATawpKa/VMHM5IKiqr0JqC0tZrFAAg7FFQAIBNlOypv5hoTg4AgECgoAAAm0hqHxPQHAAAgUBBAQA2MTg9USkJMapvcViXalZ7Gpye2JrNAgCEOQoKALCJCLdL08ZmSFKtosJ7e9rYDPajAAC0KgoKOFK1xyh3y069tf4H5W7Zyao3cIzszBTNHDdAyQn+w5qSE2I0c9wA9qEAALQ6NraD47DpF5wuOzNFIzKS2SkbABASXMYYLt22kvLyciUkJKisrEzx8fHBbo4jeTf9OvJF7T3N4gouAAAId4E+J2XIExyDTb8AAABaHwUFHINNvwAAAFofBQUcg02/AAAAWh8FBRyDTb8AAABaHwUFHINNvwAAAFofBQUcg02/AAAAWh8FBRyFTb8AAABaFxvbwXHY9AsAAKD1UFDAkSLcLmX16BTsZgAAADgeQ54AAAAANBsFBQAAAIBmo6AAAAAA0GwUFAAAAACajUnZAAAAQCuq9hhHrUYZ1B6KGTNmaNCgQWrfvr2SkpJ0wQUXaNOmTX6ZiooKTZw4UZ06dVK7du108cUX68cff/TLbNu2TWPGjFFcXJySkpJ011136dChQ36ZpUuXasCAAYqOjlbPnj01Z86cWu159tlnlZaWppiYGA0ZMkRr1qxpclsAAACA+uTkFemMR5foslmrdOur63XZrFU649ElyskrCnbTmi2oBcWyZcs0ceJErVq1SosWLVJVVZVGjhypffv2+TK33367FixYoH//+99atmyZtm/frosuusj3eHV1tcaMGaPKykqtXLlSL730kubMmaP777/flykoKNCYMWN09tlna/369brtttt0ww036P333/dlXnvtNU2ePFnTpk3TunXr1LdvX40aNUolJSWW2wIAAADUJyevSBPmrlNRWYXf/cVlFZowd51tiwqXMcYEuxFeO3bsUFJSkpYtW6Zhw4aprKxMXbp00bx58/TLX/5SkrRx40b17t1bubm5OvXUU/Xee+/pF7/4hbZv366uXbtKkp577jlNmTJFO3bsUFRUlKZMmaJ3331XeXl5vp916aWXavfu3crJyZEkDRkyRIMGDdIzzzwjSfJ4POrevbtuueUW3X333Zba0pjy8nIlJCSorKxM8fHxAf3dAQAAIHRVe4zOeHRJrWLCyyUpOSFGH035eYsPfwr0OWlITcouKyuTJCUmJkqS1q5dq6qqKg0fPtyX6dWrl4477jjl5uZKknJzc9WnTx9fMSFJo0aNUnl5ub766itf5vDn8Ga8z1FZWam1a9f6Zdxut4YPH+7LWGnLkQ4ePKjy8nK/LwAAAISfNQWl9RYTkmQkFZVVaE1Baes1KkBCpqDweDy67bbbdPrppyszM1OSVFxcrKioKHXo0MEv27VrVxUXF/syhxcT3se9jzWUKS8v14EDB/TTTz+purq6zszhz9FYW440Y8YMJSQk+L66d+9u8bcBAAAAJynZU38x0ZxcKAmZgmLixInKy8vTq6++GuymBMzUqVNVVlbm+/ruu++C3SQAAAAEQVL7mIDmQklIFBSTJk3SO++8ow8//FDHHnus7/7k5GRVVlZq9+7dfvkff/xRycnJvsyRKy15bzeWiY+PV2xsrDp37qyIiIg6M4c/R2NtOVJ0dLTi4+P9vgAAABB+BqcnKiUhRvXNjnBJSkmoWULWboJaUBhjNGnSJL3xxhtasmSJ0tPT/R4fOHCg2rRpo8WLF/vu27Rpk7Zt26asrCxJUlZWlr788ku/1ZgWLVqk+Ph4ZWRk+DKHP4c3432OqKgoDRw40C/j8Xi0ePFiX8ZKWwAAAIC6RLhdmja25tz0yKLCe3va2Axb7kcR1FWebr75Zs2bN09vvfWWTjzxRN/9CQkJio2NlSRNmDBBCxcu1Jw5cxQfH69bbrlFkrRy5UpJNcvG9uvXT926ddNjjz2m4uJiXXnllbrhhhv0yCOPSKpZNjYzM1MTJ07UddddpyVLlui3v/2t3n33XY0aNUpSzbKxV199tZ5//nkNHjxYTz75pF5//XVt3LjRN7eisbY0hlWeAAAAwltOXpGmL8j3m6CdkhCjaWMzlJ2Z0iptCPg5qQki1Uxor/U1e/ZsX+bAgQPm5ptvNh07djRxcXHmwgsvNEVFRX7PU1hYaM4991wTGxtrOnfubO644w5TVVXll/nwww9Nv379TFRUlDn++OP9fobXX//6V3PccceZqKgoM3jwYLNq1Sq/x620pSFlZWVGkikrK7P8PQAAAHCWQ9Ues3LzT+bNz743Kzf/ZA5Ve1r15wf6nDSk9qFwOnooAARKtcdoTUGpSvZUKKl9zZhbO3aTAwBaX6DPSSMD0CYAQCsKhe5yAAC8QmKVJwCANTl5RZowd12tzZGKyyo0Ye465eQVBallAIBwRUEBADZR7TGaviBfdY1T9d43fUG+qj2MZAUAtB4KCgCwiTUFpbV6Jg5nJBWVVWhNQWnrNaoVVXuMcrfs1Fvrf1Dulp0UTgAQIphDAQA2UbKn/mKiOTk7Yd4IAIQueigAwCaS2scENGcXzBsBgNBGQQEANjE4PVEpCTG1dlj1cqnmqv3g9MTWbFaLYt4IAIQ+CgoAsIkIt0vTxmZIUq2iwnt72tgMR+1HEe7zRgDADigoAMBGsjNTNHPcACUn+A9rSk6I0cxxAxw3nyCc540AgF0wKRsAbCY7M0UjMpLDYqfscJ03AgB2QkEBADYU4XYpq0enYDejxXnnjRSXVdQ5j8Klmt4ZJ80bAQC7YcgTACBkheO8EQCwGwoKAEBIC7d5IwBgNwx5AgCEvHCaNwIAdkNBAQCwhXCZNwIAdsOQJwAAAADNRkEBAAAAoNkoKAAAAAA0GwUFAAAAgGajoAAAAADQbKzyBABACKv2GJbLBRDSKCgAAAhROXlFmr4gX0VlFb77UhJiNG1sBhv6AQgZDHkCACAE5eQVacLcdX7FhCQVl1Vowtx1yskrClLLAMAfBQUAACGm2mM0fUG+TB2Pee+bviBf1Z66EgDQuigoAAAIMWsKSmv1TBzOSCoqq9CagtLWaxQA1IOCAgCAEFOyp/5iojk5AGhJFBQAAISYpPYxAc0BQEuioAAAIMQMTk9USkKM6lsc1qWa1Z4Gpye2ZrMAoE4UFAAAhJgIt0vTxmZIUq2iwnt72tgM9qMAEBIoKAAACEHZmSmaOW6AkhP8hzUlJ8Ro5rgB7EMBIGSwsR0AACEqOzNFIzKS2SkbQEijoIAjHais1iML81W4c7/SOsXpntEZio2KCHazgICp9hhOMsNEhNulrB6dgt0MAKgXBQUcZ/w/P9Gi/BLf7RXfSC+v2qYRGUmaddWgILYMCIycvCJNX5Dvt09BSkKMpo3NYBgMAKDVMYcCjnJkMXG4RfklGv/PT1q5RUBg5eQVacLcdbU2PSsuq9CEueuUk1cUpJYBAMIVBQUc40Bldb3FhNei/BIdqKxupRYBgVXtMZq+IF+mjse8901fkK9qT10JAABaBgUFHOORhfkBzQGhZk1Baa2eicMZSUVlFVpTUNp6jQIAhD0KCjhG4c79Ac0BoaZkT/3FRHNyAAAEAgUFHCOtU1xAc0CoSWof03ioCTkAAAKBggKOcc/ojIDmgFAzOD1RKQkxtXZO9nKpZrWnwemJrdksAECYo6CAY8RGRWhERlKDmREZSexHAduKcLs0bWxNQXxkUeG9PW1sBvtRAABaFQUFHGXWVYPqLSrYhwJOkJ2ZopnjBig5wX9YU3JCjGaOG8A+FACAVucyxrC+YCspLy9XQkKCysrKFB8fH+zmOBo7ZcPp2CkbANBcgT4npaBoRRQUAAAACLZAn5NGBqBNAIBWRg8FACBUUFAAgM3k5BVp+oJ8v03uUhJiNG1sBnMoAACtjknZAGAjOXlFmjB3Xa0ds4vLKjRh7jrl5BUFqWUAgHBFQQEANlHtMZq+IF91TXzz3jd9Qb6qPUyNAwC0HgoKALCJNQWltXomDmckFZVVaE1Baes1CgAQ9phDAUdiwiqcqGRP/cVEc3IAAAQCBQUchwmrcKqk9jGNh5qQAwAgEBjyBEdhwiqcbHB6ojrEtWkw0yGujQanJ7ZSiwAAoKCAgzBhFZAY2AcAaG0UFHAMJqzC6dYUlGr3/qoGM7v2V/EaBwC0KuZQwDGYsAqnC/fXeLguthCuxw3APigo4BhMWIXThfNrPFwXWwjX4wZgLwx5gmMMTk9USkJMvWPIXar5IGbCKuwqXF/j4brYQrgeNwD7oaCAY0S4XZo2NkNS7Ymp3tvTxmYwVAC2FY6v8XBdbCFcjxuAPVFQwFGyM1M0c9wAJSf4D/lITojRzHEDGCIA2/O+xrvGR/vd3zU+2pGv8XBdbCFcjxuAPTGHAo6TnZmiERnJTGKEw9XXR+Es4ToRPVyPG4A9UVDAkSLcLmX16BTsZgAB5x1Xf+RAlx/La8bVO62XIlwnoofrcQOwJ4Y8AYBNhOO4+nCdiB6uxw3AnigoAMAmwnFcfThORJfC97gB2BMFBQDYRLiOqw/XxRbC9bgB2A9zKADAJsJ5XH24LrYQrscNwF4oKADAJgamdpTbJTU0RcLtqsk5UbguthCuxw3APhjyBAA2sXbrrgaLCamm2Fi7dVfrNAgAAFFQAIBthOscCgBAaKOgAACb6Nw2uvFQE3IAAAQCcygAwC6szsNlvi4AhLRqj3HUYgsUFABgEz/tPRjQHACg9eXkFWn6gny/fYVSEmI0bWyGbZeDZsgTANhEOC8bCwBOkJNXpAlz19XapLS4rEIT5q5TTl5RkFp2dCgoAMAmBqZ2bHQ0k0vOXTYWAOys2mM0fUG+6lqsz3vf9AX5qm5sOb8QREEBADaxesvOOj+IDmf+LwcACC1rCkpr9UwczkgqKqvQmoLS1mtUgFBQAIBN/Oez7wOaAwC0Hicv/c2kbDiS01ZPACRpf2V1QHMAEArC5TPbyfPgKCjgOE5cPQGQpEFpifog/0dLOQCwg3D6zB6cnqiUhBgVl1XUOXzVJSk5oaagshuGPMFRnLp6AiBJV5+WFtAcAARTuH1mR7hdmjY2Q1Lt7YK8t6eNzbBl7wwFBRzDyasnAF5WVnkCgFAXrp/Z2ZkpmjlugJIT/Ic1JSfEaOa4AbbtlWHIExyjKasnZPXo1HoNAwLk5dxCS6s8vZxbqOuHHt8aTQKAZgnnz+zszBSNyEh21LwRCgo4hpNXTwAkaWvp/oDmACBYwv0zO8LtclShxJAnOIaTV08AJCk1MS6gOQAIFj6znYWCAo7hXT2hvg5Dl2pWjrDj6gmAJF2ZlabGesTdrpocAIQyPrOdhYICjuHk1RMASYqKdOuc3kkNZs7pnaSoSN7aAYQ2PrOdhU8dOIpTV08ApJpVUfJ+KG8wk/dDueNWRQHgTHxmOweTsuE42Zkp+nmvrno5t1BbS/crNTFOV2alcdUWttfYqiiSc1dFAeBMTlzxKBxRUMBx6tp18+8fFThy102El3BfFQWAMzltxSMrqj3GUUUUBQUcxbvr5pEDPry7btKFCjtjVRQAsL+6LnymJMTY+sInY0DgGOG66ybCx+D0RMVFRTSYaRsVwaooABCivBc+jxy+6r3wmZNXFKSWHR0KCjhGU3bdBOyo2mN0oKq6wcz+qmqKZgAIQU6+8ElBAcdgfDmc7uXcQplGPmeMqckBAEKLky98UlDAMRhfDqfbWro/oDkAQOtx8oVPCgo4BrtuwulSE+MCmgMAtB4nX/ikoIBjsOsmnO7KrDQ19vJ1u2pyAIDQ4uQLnxQUcBR23YSTRUW6NX5oeoOZ8UPT2cQRAEKQky98uoxpbIofAqW8vFwJCQkqKytTfHx8sJvjaE7bMAY43Ph/fqJF+SW17h+RkaRZVw0KQosAAFaFwj4UgT4nZWM7OFI47rqJ8JCTV6T/1lFMSNJ/80uUk1dETxwAhLDszBSNyEh21IXPoPaLL1++XGPHjlW3bt3kcrn05ptv+j1+zTXXyOVy+X1lZ2f7ZUpLS3XFFVcoPj5eHTp00PXXX6+9e/f6Zb744gsNHTpUMTEx6t69ux577LFabfn3v/+tXr16KSYmRn369NHChQv9HjfG6P7771dKSopiY2M1fPhwffPNN4H5RSDgqj1GuVt26q31Pyh3y05brukMHKmhNcy97LqGOepXecijF1d8q/vfytOLK75V5SFPsJsEAH6C2kOxb98+9e3bV9ddd50uuuiiOjPZ2dmaPXu273Z0dLTf41dccYWKioq0aNEiVVVV6dprr9WNN96oefPmSarp0hk5cqSGDx+u5557Tl9++aWuu+46dejQQTfeeKMkaeXKlbrssss0Y8YM/eIXv9C8efN0wQUXaN26dcrMzJQkPfbYY3r66af10ksvKT09Xb///e81atQo5efnKybGfrPxnSwUuhKBltCUNczpoXOGGQvzNWtFgQ6vER9euEHjh6Zr6uiM4DUMQLM58TwlZOZQuFwuvfHGG7rgggt8911zzTXavXt3rZ4Lrw0bNigjI0OffPKJTjnlFElSTk6ORo8ere+//17dunXTzJkzde+996q4uFhRUVGSpLvvvltvvvmmNm7cKEm65JJLtG/fPr3zzju+5z711FPVr18/PffcczLGqFu3brrjjjt05513SpLKysrUtWtXzZkzR5deeqmlY2QORcvzbml/5Iva24nIxGzY2Vvrf9Ctr65vNPfUpf10fr9jWr5BaFEzFubr+eUF9T7+m2EUFYDdhMp5SqDPSUN+KZClS5cqKSlJJ554oiZMmKCdO3f6HsvNzVWHDh18xYQkDR8+XG63W6tXr/Zlhg0b5ismJGnUqFHatGmTdu3a5csMHz7c7+eOGjVKubm5kqSCggIVFxf7ZRISEjRkyBBfBsHn5C3tAUnq3Da68VATcghdlYc8mrWi/mJCkmatKGD4E2AjTj5PCemCIjs7W//85z+1ePFiPfroo1q2bJnOPfdcVVdXS5KKi4uVlJTk9z2RkZFKTExUcXGxL9O1a1e/jPd2Y5nDHz/8++rK1OXgwYMqLy/3+0LLcfKW9oCk2usMHm0OIevl3EI1dk7hMTU5APbg5POUkF7l6fChRH369NHJJ5+sHj16aOnSpTrnnHOC2DJrZsyYoenTpwe7GWHDyVvaA5L0096DAc0hdG0t3R/QHIDgc/J5Skj3UBzp+OOPV+fOnbV582ZJUnJyskpK/JdPPHTokEpLS5WcnOzL/Pjjj34Z7+3GMoc/fvj31ZWpy9SpU1VWVub7+u6775p0vGgaJ29pD0i8xsNJamJcQHMAgs/J7+G2Kii+//577dy5UykpNZNVsrKytHv3bq1du9aXWbJkiTwej4YMGeLLLF++XFVVVb7MokWLdOKJJ6pjx46+zOLFi/1+1qJFi5SVlSVJSk9PV3Jysl+mvLxcq1ev9mXqEh0drfj4eL8vtBzvlvYNseuW9oD0v9d4fSOaXOI17hRXZqWpsSXp3a6aHAB7cPJ5SlALir1792r9+vVav369pJrJz+vXr9e2bdu0d+9e3XXXXVq1apUKCwu1ePFinX/++erZs6dGjRolSerdu7eys7M1fvx4rVmzRh9//LEmTZqkSy+9VN26dZMkXX755YqKitL111+vr776Sq+99pqeeuopTZ482deOW2+9VTk5OXr88ce1ceNGPfDAA/r00081adIkSTUrUN122236wx/+oLfffltffvmlrrrqKnXr1s1vVSoEV4TbpfP6Nrwywnl9U2y9cQzCW4TbpWljM+rdh8JImjY2g9e4A0RFujV+aHqDmfFD0xUVaavrgkBYc/J5SlDfiT799FP1799f/fv3lyRNnjxZ/fv31/3336+IiAh98cUXOu+883TCCSfo+uuv18CBA7VixQq/vSheeeUV9erVS+ecc45Gjx6tM844Qy+88ILv8YSEBH3wwQcqKCjQwIEDdccdd+j+++/37UEhSaeddprmzZunF154QX379tX/+3//T2+++aZvDwpJ+t3vfqdbbrlFN954owYNGqS9e/cqJyeHPShCSLXH6O3PixrMvP15kS1XTwAQfqaOztBvhqXX6qlwu1gyFrAjJ5+nhMw+FOGAfShaVu6Wnbps1qpGc/8afyqbfsGWqj1GZzy6pN5VQlySkhNi9NGUn9vyChfqVnnIo5dzC7W1dL9SE+N0ZVYaPROADYXSeUqgz0lDepUnoCmKyw4ENAeEGnbKDk9RkW5dP/T4YDcDwFFilSfABkr3VQY0B4QaJ38YAYDTscoTYAOJ7aztDmw1B4QaJ38YAYDTDU5PVIe4Ng1mOsS1YZUnIJiS462dRFnNAaFmYGpHS0uJDkzt2DoNAgAElF1nv1FQwDGcvL4zIElrt+5SY4t/eExNDgAQWtYUlGr3/qoGM7v2V2lNQWkrtShwKCjgGN41+l2qXeF772ONftgZcygAwL6c/B5OQQFHyc5M0cxxA5R8RE9FckKMZo4boOzMhjeUAUIZcygAwL6c/B7OsrFwnOzMFI3ISNaaglKV7KlQUvuaYU70TMDuvMP6issq6twt27sPBcP6ACD09OveIaC5UEIPBRwpwu1SVo9OOr/fMcrq0YliAo7gHdYn1T2sT2JYHwCEqnmrtwY0F0ooKADARhjWBwD29O1P+wKaCyUMeYIjVXsMQ57gWNmZKfp5r656ObdQW0v3KzUxTldmpSkq0tnXiCoPecLumAE4R0m5xUnZFnOhhIICjpOTV6TpC/JVVPa//5ApCTGaNjaDq7dwhLpe43//qMDRr/EZC/M1a0WB37K5Dy/coPFD0zV1dEbwGgYAFiXFW9tY12oulHBpB46Sk1ekCXPX+Z1oSVJxWYUmzF2nnLyiILUMCIxwfI3PWJiv55cX1NqDw2Ok55cXaMbC/OA0DACa4PjO7QKaCyUUFHCMao/R9AX5da5+471v+oJ8VTe2MxgQosLxNV55yKNZKwoazMxaUaDKQ55WahEANM+VWWlqbPS121WTsxsKCjjGmoLSWldtD2ckFZVV2HIHSkAKz9f4y7mFlnYHfzm3sFXaAwDNFRXp1vih6Q1mxg9Nt+XcMPu1GKiHk3egBKTwfI1vLd0f0BwABFP/4zoe1eOhioICjuHkHSgBKTxf46mJcQHNAUCweIet1scl+w5bpaCAY3h3Ea5veKJLNas9sYsw7CocX+NOHnMMILw4edgqBQUc4/BdhOvDLsKwM+9rvL5rV0bOe407ecwxgPDi5GGrvAPDUbIzU3TjsPRaVzTdLunGYemOXaMfcLKpozP0m3r+X/9mGPtQALAHJw9bZWM7OEpOXpFeWF5Q6wquMdILywvU/7iOFBWwLavjb0dkJDuql0KqKSruGNmLnbIB2JZ32GpDw57sOmz1qAqKyspKFRQUqEePHoqMpDZBcDW2Rr+TT7YQHpoy/jarR6fWa1griYp06/qhxwe7GQDQLBFulzKPiW/wfTzzmHhbnqM069LO/v37df311ysuLk4nnXSStm3bJkm65ZZb9Mc//jGgDQSscvJkJ0By9vhbAHC6ykMeLd5Q0mBm8YYSW27U2ayCYurUqfr888+1dOlSxcT8b5zX8OHD9dprrwWscUBTcLIFp3Py+FsAcDonb9TZrHFKb775pl577TWdeuqpcrn+1y1z0kknacuWLQFrHNAUnGzB6fp17xDQHACg9RTu3BfQXChpVg/Fjh07lJSUVOv+ffv2+RUYQGsKxzX6EV7mrd4a0BzsodpjlLtlp95a/4Nyt+y05aZXAJytWQXFKaeconfffdd321tE/P3vf1dWVlZgWgY0EftQwOm2lu4PaA6hLyevSGc8ukSXzVqlW19dr8tmrdIZjy5RTl5RsJsGoIn6de8Y0FwoadaQp0ceeUTnnnuu8vPzdejQIT311FPKz8/XypUrtWzZskC3EbDMuw/FrBUFfuMU3a6aza9YMhZ2lpoYF9AcQltOXpEmzF1Xa+W64rIKTZi7TjPHDeA9DbCRbh1iA5oLJc3qoTjjjDO0fv16HTp0SH369NEHH3ygpKQk5ebmauDAgYFuI2CZdx+KI0cEePeh4Koe7OzKrLRam7sdye2qycHeGlsGW6pZBpvhT4B9eIdmN8SuQ7ObvXlEjx49NGvWrEC2BTgq7EMBp4uKdGv80HQ9v7yg3sz4oels9uYA4b7nCOBE3qHZdfU8SjXnKXYdmt2sT52FCxfq/fffr3X/+++/r/fee++oGwU0B/tQIBxMHZ2hERm1F8WQpBEZSZo6uuF5RLAHlsFGOAmnhQeyM1M0c9yAWj0VKQkxth7G2KweirvvvrvODeyMMbr77rt17rnnHnXDgKbiAxjhICevSP/Nr70xkkvSf/NLlJNXZNsPJPxP57bRAc0BoSonr0jTF+T7XRBMSYjRtLEZjn0vy85M0c97ddXLuYXaWrpfqYlxujIrzda9y80qKL755htlZNS+CtarVy9t3rz5qBsFNAf7UMDpGNYXRqz++fgzw8bCdeGBnLwiPfB2vorL/1dEzVpRoAfOs28R1axSKCEhQd9++22t+zdv3qy2bdsedaOA5nDyZCdAYlhfOPlp78GA5oBQE64LD+TkFemmuev8iglJKi6v0E1z19l28ZhmFRTnn3++brvtNr9dsTdv3qw77rhD5513XsAaBzRFhNul8/o2XNmf1zeFK7ewLYb1hQ96XOF04XiBpNpjdMfrnzeYuePfn9uyiGpWQfHYY4+pbdu26tWrl9LT05Wenq7evXurU6dO+vOf/xzoNgKWVHuM3v684cr+7c+LbPkfFZCkxLiogOYQuuhxhdOF4wWSlZt/0r7K6gYz+w5Wa+Xmn1qpRYHTrDkUCQkJWrlypRYtWqTPP/9csbGxOvnkkzVs2LBAtw+wrLGrHRLLLMLeNhaXW84NPaFLC7cGLcnb49rQEsH0uMLOwrEXbv667y3n7PYe3ux9KFwul0aOHKmRI0cGsj1As4Xj1Q6El+92HQhoDqHLao/r77J7U1TAlry9cMVlFfXuyZDssF64xnonmpoLJZYLiqefflo33nijYmJi9PTTTzeY/e1vf3vUDQOaKhyvdiC8dO8YG9AcQhc9rnC6wzd5c0l+RYW3RLbrJm/1GZTWUR/k/2gpZzeWC4onnnhCV1xxhWJiYvTEE0/Um3O5XBQUCIpwvNqB8NIrOT6gOYQuelwRDrybvB25D0WyQ/ehuPq0dD2ycGOd5yherv/L2Y3lgqKgoKDOfwOhIhyvdiC8lO6vDGgOoYseV4SL7MwUjchI1pqCUpXsqVBS+5oLf078rI6KdOvGYekNzo26cVi6LTe4a3KLq6qq1KNHD23YsKEl2gMcFe/Vjq7x/h+yyTbf0h6QOMkMJ94e1/pOqVxilSc4R4TbpawenXR+v2OU1aOTI4sJr6mjM/SbYem1/m+7JP1mWLqmjq69cbQdNHlSdps2bVRRQRcrQpsxHr/bHo+nniRgHwzrCx/eHteb5q6r83EjelwBu5o6OkN3jOyll3MLtbV0v1IT43RlVpoteya8mtXyiRMn6tFHH9WhQ4cC3R7gqHh3oPxxj/+Qjx/3VNp6B0pA+t9JpqQ6r25JnGQCAFqfyxjT5F2+LrzwQi1evFjt2rVTnz591LZtW7/H58+fH7AGOkl5ebkSEhJUVlam+HgmTQZatcdo4B8Waff+qnozHeLaaO19Izjhgq3NWJivWSsKdPgejW6XNH6ofbvL4a/aY3TGo0saXOkpJSFGH035Oe9ngM2Ewnt4oM9Jm7UPRYcOHXTxxRcf9Q8HAmnVlp0NFhOStHt/lVZt2anTf9a5lVoFBFZOXpFeWF5Qa8iTx0gvLC9Q/+M6MlfIAVg2FnCmGQvz65yU7THy3W/HC0NNKig8Ho/+9Kc/6euvv1ZlZaV+/vOf64EHHlBsLGueI/hyv7W2VX3utz9RUMCWqj1G0xfkN7jk4PQF+RqRkcxVa5srLrO2OaHVHIDgqzzk0awVDa+UOmtFge4Y2ct28yma1NqHH35Y99xzj9q1a6djjjlGTz/9tCZOnNhSbQOayOoJFCdasKfGrlob/e+qNeytdJ/FJYIt5gAE38u5hX7DnOriMTU5u2lSQfHPf/5Tf/vb3/T+++/rzTff1IIFC/TKK6+wgg5CgtVuf4YHwK7Y7Cx8JLaLDmgOQPBtLd0f0FwoaVJBsW3bNo0ePdp3e/jw4XK5XNq+fXvAGwY01anHd1KHuDYNZjrGtdGpx1NQwJ7YhyJ8JMdb+xtazQEIvtTEuIDmQkmTCopDhw4pJsb/zatNmzaqqmp4IizQGiLcLv3xoj4NZmZc1Iex5bCtgakd5Wrk5ety1eRgb949RxrCxnaAvVyZlabGTkHcrpqc3TRpUrYxRtdcc42io//XxVpRUaGbbrrJb+lYlo1FsGRnpui5cQP0wNv5Ki7/37CPlIQYTRubweo3sLVPCkvV2ELfxtTkTu/JwgN25t1zZML/bWx3+J+dPUcAe4qKdOuc3klalF9Sb+ac3km2m5AtNbGguPrqq2vdN27cuIA1BgiE7MwUjchI1pqCUpXsqVBS+5qreHzwwu4+2rzDco6Cwv6yM1M0c9wATV+Q7zcZP5kLJIAtVXuM8n4obzCT90O5qj3GducsTSooZs+e3VLtAAA04ovvygKaQ+jjAgngHE7eX6ZZG9sBoSwnr6jWFT2GPMEJYttY6wa3moM9RLhdtju5AFCbk1fq41MHjpKTV6QJc9fVugJQXFahCXPXKSevKEgtA45ecoK1TUSt5gAArcfJK/VRUMAxGtpF2Hvf9AX5qm5sVxkgRPVKaR/QHACg9XhXb6tvwKJL9l29jYICjsEuwnC6l1YWBjQHAGg93tXbJNUqKuy+ehsFBRzDyWMTAUnaubcyoDkAQOvyrt6WfMQ+M8kJMZo5boBt53oyKRuO4eSxiYAkxce2Uen+xjcSjY9teMd4AEDwOHH1Nnoo4BhOHpsISNLvs3sHNAcAQCDQQwHHOHxnWZfYWRbOc9ZJXeV2SQ2tK+B21eQAAKHJicvb00MBR3Hq2ERAqimaz+md1GDmnN5JFM0AEKKcurw9PRRwHCeOTQQkqfKQR4s3lDSYWbyhRJWHPIqK5HoRAISSxpa3d6lmefsRGcm2O2fhEweOdKCyWv/46Fv9bekW/eOjb3WgsjrYTQKO2su5hQ0Od5JqhkO9nFvYKu0BgECo9hjlbtmpt9b/oNwtOx27X5STl7enhwKOc94zK/TF9+W+25uK9yjzgfd18rHxenvS0CC2DDg6W0v3BzQHAMHmxPkE9XHy8vb0UMBRjiwmDvfF9+U675kVrdwiIHBSE+MCmgOAYHLqfIL6OHl5ewoKOMbeikP1FhNeX3xfrr0Vh1qpRUBgXZmVpsaG1bpdNTkACGWNzSeQauYTOGn4U59jEgKaCyUUFHCM21/7LKA5INRERbo1fmh6g5nxQ9OZkA0g5Dl5PkF9Hs3ZENBcKGEOBRxj264DAc0BoWjq6AxJ0qwVBX4TtN2ummLC+zico/KQRy/nFmpr6X6lJsbpyqw0ikbYnpPnE9SncKe1+W1Wc6GEggKO0b1jjDYV77GUA+xs6ugM3TGyFyeZYWDGwvxaxePDCzdQPML2nDyfoD5pneK04htrObuhoIBjXDEoVf/dsMNSDrC7qEi3rh96fLCbgRY0Y2G+nl9eUOt+j5HvfooK2NXg9ETFRUVofwPLureNitDg9MRWbFXLumd0hl5etc1Szm64nAXHKK+0Ntnaag4AgqXykEezVtQuJg43a0WBKg95WqlFQGBVe4wOVDW8R9T+qmpHTcqOjYrQiIykBjMjMpIUGxXRSi0KHAoKOEY4dp8ifIXLRlDhik0M4XQv5xbKNPIaNw58jc+6alC9RcWIjCTNumpQK7coMBjyBMfo171DQHNAqAqnjaDCFZsYwumcPEG5MbOuGqQDldV6ZGG+CnfuV1qnON0zOsOWPRNeFBRwjHmrt1rOMfYcduXdCOrIC3vejaBmjhtAUeEAbGII57Paq+rM3tfYqAg9dEGfYDcjYBjyBMfgih6crrGNoIyctxFUuGITQzjdyRY3b7OaQ3BRUMAxuKIHp2tsIyjJeRtBhSs2MYTTlVdYXEjFYg7BxTsRHOOSQccFNAeEmqLd1jZltJpDaJs6OkO/GZZeq6fC7ZJ+M4x9KGBvie2iA5pDcDGHAo7xrzXW5lD8a81WjR/Wo4VbAwTeZ9/tspy7aOCxLdwatAY2MYRTJcdbW3HRag7BRUEBx/ik0NrJ1ieFuzR+WAs3BmgBnsbWWGxiDvbAJoZwooGpHeV2qcHlkd2umhxCH5c44BhtLS63ZjUHhBq3q5FZuk3MAUCwrN26y9JeK2u3WrtYiOCioIBjXDTA2hAPqzkg1PTrbu1KndUcAARLyZ6GF5hoag7BRUEBxzitZ+dGex/aRkfotJ6dW6lFQGB16xAb0BwABEtSe2tzI6zmEFwUFHCMCLdLj/+6b4OZx3/VVxGNLe4OhKjB6YlKSWj4wzUlIUaD0xNbqUUA0Dz9uncIaA7BRUEBR/lsW8NjLRt7HAhlEW6Xpo3NUH0lsUvStLEZFM0AQt681dZWZrSaQ3BRUMAxKg959PzyggYzzy8vUOUhTyu1CAi87MwUzRw3QF3bR/nd37V9lGaOG6DszJQgtQwtZW/FIY1/6RONenK5xr/0ifay0RccYGvp/oDm7KbaY5S7ZafeWv+DcrfsVHVjM9RDHMvGwjFmf9xwMXF47jdnsg8F7Ouzbbu0Y2+l33079lbqs227KCgc5rxnVuiL78t9tzcV71HmA+/r5GPj9fakoUFsGXB0UhPjApqzk5y8Ik1fkK+isv9NOE9JiNG0sRm2fQ+nhwKOsSi/OKA5IBTNWJiv55cX1Fpu0WNqeuBmLMwPTsMQcEcWE4f74vtynffMilZuERA4V2al1doF/khuV03OSXLyijRh7jq/YkKSissqNGHuOuXkFQWpZUeHggIAbKLykEezVjTcEzdrBcP6nGBvxaF6iwmvL74vZ/gTbCsq0q3xQ9MbzIwfmu6oXeGrPUbTF+SrrsFN3vumL8i35fAn5/yVEPZGZiQHNAeEmpdzCy1tBPVybmGrtAct5/bXPgtoDghFU0dn6DfD0mv1VLhd0m+GpWvq6IzgNKyFrCkordUzcTgjqaisQmsKSluvUQHCHAo4xjWnp2vGexvrrPy9XP+XA+yocKe1yYlWcwhd4T5hFeFj6ugM3TGyl17OLdTW0v1KTYzTlVlpjuqZ8HLyZn4UFHCMqEi3bhyW3uBKTzcOc1b3KcKN1W5w+3WXw1/7aGsfz1ZzQCiLinTr+qHHB7sZLc7Jm/lxZgVH6X9cx6N6HAhlmcckBDSH0HXJoO4BzQEIPu/mpA3tJWTXzUkpKOAY3slO9XHJvpOdAEnK+6EsoDmEru6JbQOaAxB83s1JJdUqKry37bo5KQUFHMPJk50AhJeBqR0tLak5MJVeV8BOvJuTJif4D2tKToix9eakDL6EYzh5shMgSWmdrF2NtppD6Fq7dZelFb3Wbt2lrB6dWqdRAAIiOzNFIzKStaagVCV7KpTUvmaYkx17JryC2kOxfPlyjR07Vt26dZPL5dKbb77p97gxRvfff79SUlIUGxur4cOH65tvvvHLlJaW6oorrlB8fLw6dOig66+/Xnv37vXLfPHFFxo6dKhiYmLUvXt3PfbYY7Xa8u9//1u9evVSTEyM+vTpo4ULFza5LQiuzm2jA5oDQk24bgQVjrhAgnBStr9KF//tY2XNWKyL//axyvZXBbtJLS7C7VJWj046v98xyurRydbFhBTkgmLfvn3q27evnn322Toff+yxx/T000/rueee0+rVq9W2bVuNGjVKFRX/ewO94oor9NVXX2nRokV65513tHz5ct14442+x8vLyzVy5EilpqZq7dq1+tOf/qQHHnhAL7zwgi+zcuVKXXbZZbr++uv12Wef6YILLtAFF1ygvLy8JrUFQWb1/6K9/88ijIXjRlDhysmrwQCHO/NPS9T3wQ+0dttuFZVVaO223er74Ac6809Lgt00NIHLGBMSM1RdLpfeeOMNXXDBBZJqegS6deumO+64Q3feeackqaysTF27dtWcOXN06aWXasOGDcrIyNAnn3yiU045RZKUk5Oj0aNH6/vvv1e3bt00c+ZM3XvvvSouLlZUVJQk6e6779abb76pjRs3SpIuueQS7du3T++8846vPaeeeqr69eun5557zlJbrCgvL1dCQoLKysoUHx8fkN8b/uet9T/o1lfXN5p76tJ+Or/fMS3fILSKao9xVLdxYwb9YZF27K2s9/Eu7aL0yX0jWrFFaAnVHqMzHl2i4rKKOhcBdqlmzPVHU37u6Nc7nO3MPy3R1p0H6n08tVOslt3181ZsUfgI9DlpyF7GKigoUHFxsYYPH+67LyEhQUOGDFFubq4kKTc3Vx06dPAVE5I0fPhwud1urV692pcZNmyYr5iQpFGjRmnTpk3atWuXL3P4z/FmvD/HSlsQfB1i2wQ0h9CXk1ekMx5dostmrdKtr67XZbNW6YxHlygnryjYTWsRpXsrGywmJGnH3kqVNpJB6HPyajCAVDPMqaFiQpK27jwQFsOfnCBkC4ri4mJJUteuXf3u79q1q++x4uJiJSUl+T0eGRmpxMREv0xdz3H4z6gvc/jjjbWlLgcPHlR5ebnfF1rO+1/V/7doTg6hLSevSBPmrqu1sldxWYUmzF3nyKLi0hdWBjSH0ObU1WAASbpuzpqA5hBcrPLUgmbMmKHp06cHuxlh40uLa+9bzSF0efccqWsoiPe+6QvyNSIj2VFXcIvLrc3ZsppD6HPiajCAJG1vYJn35uQQXCHbQ5GcnCxJ+vHHH/3u//HHH32PJScnq6SkxO/xQ4cOqbS01C9T13Mc/jPqyxz+eGNtqcvUqVNVVlbm+/ruu+8aOWocjfgYa0OZrOYQuhrbc0Ry5p4jURHW3rKt5mAPTlsNBpCkbgnWFhSwmkNwheynTnp6upKTk7V48WLffeXl5Vq9erWysrIkSVlZWdq9e7fWrl3ryyxZskQej0dDhgzxZZYvX66qqv+NwVu0aJFOPPFEdezY0Zc5/Od4M96fY6UtdYmOjlZ8fLzfF1rODac3vPpNU3MIXeF6pf6c3l0bDzUhBwDB8o9rBgc0h+AKakGxd+9erV+/XuvXr5dUM/l5/fr12rZtm1wul2677Tb94Q9/0Ntvv60vv/xSV111lbp16+ZbCap3797Kzs7W+PHjtWbNGn388ceaNGmSLr30UnXr1k2SdPnllysqKkrXX3+9vvrqK7322mt66qmnNHnyZF87br31VuXk5Ojxxx/Xxo0b9cADD+jTTz/VpEmTJMlSWxB8UW0iAppD6CrdezCgObs4oWv7gOYAIFgS4tootVNsg5nUTrFKiGNUgR0EtaD49NNP1b9/f/Xv31+SNHnyZPXv31/333+/JOl3v/udbrnlFt14440aNGiQ9u7dq5ycHMXE/K/765VXXlGvXr10zjnnaPTo0TrjjDP89phISEjQBx98oIKCAg0cOFB33HGH7r//fr+9Kk477TTNmzdPL7zwgvr27av/9//+n958801lZmb6MlbaguD6aZ+1k0erOYSuxLZRjYeakLMLNrYD4CTL7vq5urSr+326S7soloy1kZDZhyIcsA9Fy8rdslOXzVrVaO5f409VVo9OrdAitJRw/lvPWJiv55cX1Pv4b4ala+rojFZsEQA0j3e1vvr2WmE1s5YTNvtQAE01OD1RKQkx9W6E7ZKUklCzQgrszfu3bohT/9ZTR2coPqbuBfriYyIpJgDYQkOr9XlNX5Cvag/Xve2AggKOcfhGUPVhIyhn8P6tGyoenfq3PvNPS1RecajOx8orDunMPy1p5RYBQNM1tlqfkTNX63MqCgo4SnZmioZnJNX52PCMJLpOHcS36Ve8f09FioM3/WJnWQBOUbLH2ip8VnMILgoKOMqMhflalF9S52OL8ks0Y2F+K7cILc+/O9zJ08LYWRaAUyS1t7aojdUcgouCAo5RecijWSvqn6wqSbNWFKjykKeVWoSW5J3MV1zuv2rXj+UHNWHuOuXkFQWpZS3nh90N9040NQcAwTIwtaOlVesGpnZsnQbhqFBQwDFezi1UY3O3PKYmB3traDKf9z4nTuZrH133ZOzm5gAgWNZu3WXpM3vt1l2t0yAcFQoKOMbW0v0BzSF0hetkvjNPqHt+UHNzABAszKFwFgoKOEZqYlxAcwhd4fpBtGOvteOxmgOAYEmMtbhBqcUcgouCAo5xZVZavcuIernELsJOwGQ+ALC3jT/uCWgOwUVBAceIcLsUFxXRYCYuOsKRexOEm3CdzHdMB2u9a1ZzABAs3+2yNvzYag7BRUEBx1hTUKp9ldUNZvYdrHbcuPpwFK6T+Tq2tdb1bzUHAMHCMGVnoaCAY4TruPpwFK5/687trBUKVnMAECyXD0kNaA7BRUEBx2BcffgI1791ckJsQHMAECzrv9sd0ByCi4ICjtGve4eA5hC6BqcnKiUhpt5J+C5JKQkxGpye2JrNanG8xgE4xXaLcyOs5hBcFBRwjJdXFgY0h9AV4XZp2tgMSapVVHhvTxub4bgJ+PNWbw1oDgCC5bPvrM1xs5pDcFFQwDFyvioKaA6hLTszRTPHDVBygv+wpuSEGM0cN0DZmSlBalnLYfNGAE7x456DAc0huCKD3QAgUEr2WnvTsZpD6MvOTNGIjGStKShVyZ4KJbWvGebktJ4Jr+4dra12YjUHAMHSNsraKajVHIKLvxIco0vbaH2/q/FVfbq0jW6F1qC1RLhdyurRKdjNaBUnJLULaA4AguXiAcfqzfXbLeUQ+hjyBMfoZHGpTKs5INR8YnFfDas5AAiW03p2bnQz2rZRETqtZ+dWahGOBgUFHKNrvLUlQq3mgNDTyG5+Tc7BDioPefTiim91/1t5enHFt6o85Al2k4CjFuF26S+/7ttg5vFf93XsEFanYcgTHOOYDtbW3reaA0LNkLROekZbLOXgDDMW5mvWigK/neEfXrhB44ema+rojOA1DAiA7MwUPTdugKa99ZXf5Ovk+Gg9cN5Jjlxcw6koKOAYa7dZG+ZhNQeEGneEtSt1VnMIbTMW5uv55QW17vcY+e6nqIDdZWem6IyeXXT7a59p264DOq5jrJ64pL/axXCKaif8teAY3+86ENAcEGq+t7jBk9UcQlflIY9mrahdTBxu1ooC3TGyl6IiGb0M+xr/z0+0KL/Ed3tT8R5lPvC+RmQkadZVg4LYMjQF70JwjHbR1upjqznYQ7XHKHfLTr21/gflbtmpao9z5w+8/sl3Ac0hdL2cW6jGXsoeU5MD7OrIYuJwi/JLNP6fn7Ryi9BcnFnBMc7t01Vrt+22lIMz5OQVafqCfBWV/W+54JSEGE0bm+HIsbflFVUBzSF0sYkhnO5AZXW9xYTXovwSHaisVmwjq0Eh+OihgGPM/LDxyapNySG05eQVacLcdX7FhCQVl1Vowtx1yslz3o7oVmdGMIPC/lITrW1OaDUHhJpHFuYHNIfgoqCAY5QdOBTQHEJXtcdo+oL8OhdH9d43fUG+44Y/DUjtGNAcQteVWWlqbLVMt6smB9jRtz/tC2gOwUVBAcdoY3FiotUcQteagtJaPROHM5KKyiq0pqC09RrVCn6W1D6gOYSuqEi3xg9NbzAzfmg6E7JhW3FtrA1jsppDcPFOBMfo171DQHMIXSV76i8mmpOziyuz0hodzuQSV62dYuroDP1mWHqtngq3S/rNMPahgL2NyLA2n9FqDsHFpGw4xjc/7gloDqErqb213c6t5uwiwu1SVKRbBxvYKTkq0s3Osg4ydXSG7hjZSy/nFmpr6X6lJsbpyqw0eiZge3sqrA0/tppDcFFQwDEqqqy96VjNIXQNTO0ot0sNLqvpdtXknGTVtzsbLCYk6eAhj1Z9u1On9+zcSq1CS4uKdOv6occHuxlAQHWIbRPQHIKLSxxwDLfb2svZag6ha+3WXZbW6F+71Vm7oudu2RnQHAAES+l+a8tbW80huDizgmP0SrE2EdVqDqGruNza3AirOfuwumqVs1a3AuA8uw9UBjSH4KKggGOc2DU+oDmErtK9BwOas4us460NY7KaA4BgYV8dZ6GggGPcY3HFE6s5hK7EtlEBzdnFqT06KbqRybjRkW6d2qNTK7UIAJpnSJq19ymrOQQXBQUcY6/FlSCs5hC6wnWVp2qPUWUjk7IrD3kct6EfAOc5WN3we1lTcwguCgo4xvnPLA9oDiEsTPvKX84tbHR2hPm/HACEsif/+3VAcwguCgo4RskeaxO3rOYQun6yODfCas4uCnbuC2gOAIJl135rn8VWcwguCgo4RkSEtcvRVnMIXeE65ClMO2YAOFBcG2unoFZzCC7+SnCM09MTA5pD6OrXvUNAc3bR99gOAc0BQLD0t7jxqNUcgouCAo7xxfbygOYQuuat3hrQnF2UHbC2wZPVHAAES3RkREBzCC4KCjjGvsrqgOYQuraW7g9ozi46xLYJaA4AgqXPMR0CmkNwUVDAMRhfHj66d4wLaM4udlvsebCaA4Bg+fKH3QHNIbgoKOAYvZJiA5pD6OrZuW1Ac3aR2C46oDkACJYqj7X9JazmEFwUFHCMkn3WhjJZzSF0vfn5DwHN2UVyvLVVq6zmACBYdlpcwt1qDsFFQQHHiLK4HKzVHELX97uszY2wmrOLwemJSklouFhISYjRYFYyAxDiulq88GE1h+CioIBjhOtmZ+EoJjIyoDm7iHC7NG1sRoOZaWMzFOGmaAYQ2tItDkm1mkNwUVDAMQ4esjbO0moOoatze2tzBKzm7OT3b+Yd1eMAEAquzEpTY9c+3K6aHEIfBQUcw2XxqqzVHEJXtw7WJtZbzdlF6d5K7djb8HjiHXsrVdpIBgCCLSrSrcxj4hvMZB4Tr6hITlXtgL9SGKj2GOVu2am31v+g3C07Ve0xwW5Si+jSNiqgOYSuxLbW9lmwmrOLS19YGdAcAARL5SGPvvy+4Y1mv/y+XJWMKrAFZw0wRi05eUWaviBfRWUVvvtSEmI0bWyGsjNTgtiywIuQtULJag6hq2OctaLQas4uSiyudmI1BwDB8tLKgkY/jc3/5cYP69EaTcJRoIfCwXLyijRh7jq/YkKSissqNGHuOuXkFQWpZS3j+3JrJ1FWcwhdn3+/O6A5u0hqb61AspoDgGBZU7AroDkEFwWFQ1V7jKYvyK+z+vfeN31BvqOGP1nd+4Y9cuzP6qvWOa/uGq/eeFpAcwAQLPsrqwKaQ3BRUDjUmoLSWj0ThzOSisoqtKagtPUa1cLC9SQzHKV3srjcoMWcXSS2i1KXdg33PnRpF6XERjIAEHTG4qex1RyCioLCoUr21F9MNCdnB5EWF2+ymkPoCuflBj+5b0S9RUWXdlH65L4RrdwiAGi6uGhri2ZYzSG4KCgcKqm9tZ0lrebsoDrAOYSuqEi3zumd1GDmnN5Jjl1u8JP7RuiTe4br2A4ximsToWM7xOiTe4ZTTACwjcHpiQHNIbic+WkLDU5PVEpCw8VCSkKMo/6jWn0x86K3v2qPUd4PDS83mPdDuaPmCB0uJ69I5z37kb7fXaH9VdX6fneFznv2I8cttADAua4+LV2NDRhw/V8OoY9zK4eKcLt0Xt+Gl4U9r2+KIhy0yRtzKMJHY3OEJOfNEfIKt9XbADhTVKRbNw5ruFi4cVi6Y3uanYa/kkNVe4ze/rzhE4u3Py9y1BVcq+85vDfZXzjOEZLCc/U2AM7V/7iOR/U4QgenVg4Vjldw3S5rvS1WcwhdndtGBzRnF+G4ehsAZ/JeIKmPS1wgsRMKCocKxyu4J6W0D2gOoctjcRlBqzm7CMf/1wCciQskzkJB4VDhuMrTjn3WNr+xmkPoWm3xA8Zqzi7C8f81AGfiAomzUFA4lHeVp/oG97jkvFWerHaL0n1qf8bi1HqrObsYnJ6ouKiIBjNxURGO+n8NwJm4QOIsFBQOFeF2adrYDEmqVVR4b08bm+GoVZ66tLe2O7DVHEJXh1hrGx1ZzdlFtcfoQFXDO6kcqKqmaAYQ8sLxwqeTUVA4WHZmimaOG6DkI/ajSE6I0cxxA5Sd2fCysnYz4Fhrq0FYzSF0dW5ncVK2xZxdvJxbqMamhRhTkwOAUBaOFz6dLDLYDUDLys5M0YiMZK0pKFXJngolta+p9p34H/Tjb38KaA6hK1y7yreW7g9oDgCCKTszRTcOS9esFQV+F0tcLmn80HTHXfh0MgqKMBDhdimrR6dgN6PFff3jvoDmEMKs1sMOq5tTE+MCmgOAYMrJK9ILywtqzXbzGOmF5QXqf1xHigqbYMgTHMMT4BxCV3Eje6w0NWcXlw9JDWgOAIKloY06pZplY9mHwj4oKADYzvrvdgU0Zxfrv9sd0BwQyqo9Rrlbduqt9T8od8tOTiwdJhw34HUyhjwBsJ1D1db6mazm7KK47EBAc0Coyskr0vQF+X4nnCkJMZo2NoMhMA6xfZe1uV41OecP27Y7eigA2M5PeysDmrOL0n3WjsdqDghFOXlFmjB3Xa2r18VlFZowd51y8oqC1DIE0vrvdwc0h+CioIBjxDe831eTcwhdndtbXDbWYs4uOsZZ20PFag4INQ2Nq/fex7h6pwjT1TUcioICjpHUMTagOYSuCJe1DxirObvYtd9az4PVHBBqGhtXb8S4eqdI62RtNTqrOQQXBUUYCJeJbamd2wY0h9AVH2NtB2yrObvoYLHnwWoOCDUle6ytzGY1h9B1ZVaaGtsSy+2qySH0MSnb4cJpYtvH3+wMaA6hy23xUojVnF3sttjzYDUHhJpw3bQyHEVFujV+aLqeX15Qb2b80HRFRTrsjdyh+Cs5WLhNbKuy2PNiNYfQlXV854Dm7CKxrbWeB6s5INQMTk9USkJMvaPmXaq5KDY4PbE1m4UW0v+4jkf1OEIHBYVDhePEtgiLw+Wt5hC6BqUnNjpNz/V/OSdJTrA2/8dqDgg1EW6Xpo3NkFR7Kq739rSxGYpobKwMQp73PKUhTjtPcTIKCocKx4ltcVHWXs5Wcwhda7fuqnd3VS/zfzkn8V69bQhXb2F32ZkpmjlugJKPeK0nJ8Ro5rgBjhuuG67Y2M5ZmEPhUOE4sa2q2uKQJ4s5hK6tO/dazmX1cM6GSN6rtxPmrquzoHKJq7dwhuzMFI3ISNaaglKV7KlQUvuaQpnXtnOwUaezcKnWocJxYtu+KmuFgtUcQtffV9Q/ia85OTvxXr3tesQeG8nx0Vy9BWAbbNTpLPRQOJR3aERD3YkMjYBd/bBrf0BzdvPZtl3asfeg330lew7qs227KCjgCOG0QmG4SmxnbeNRqzkEFz0UDhXhdum8vg2/6Z7XN4XuY9hSOK/oNWNhvp5fXqAjD81jpOeXF2jGwoYnOQKhLtxWKAxXyfHWRkhYzSG4KCgcqtpj9PbnDb/pvv15EasnwJYSoiMCmrOLykMezWpkGNesFQWqPORppRYBgRWOKxSGq4GpHS1tbDcwlaVj7YCCwqFYPQFO1sHiPgtWc3bxcm5hrZ6JI3lMTQ6wo3BcoTBcrd26y9L7mdNW63MqCgqHCsdVnhA+oiKt9TxYzdnF1lJrc0Ks5oBQw2dX+Cgut/Y3tJpDcFFQOFRni5OYrObsgI3twkdFlbUhPVZzdpGaGBfQHBBqwnGFwnBVesTCEkebQ3BRUDiV1eGlDhqGGhdprVKwmkPoSu/SNqA5u7gyK83SmOMrs9JapT1AoHlXKKzvZe4SKxQ6RaLFIalWcwguCgqHCsdu4z0W95ewmkPoyjre2mZ1VnN2ERXp1vih6Q1mxg9NV1Qkb+2wJ+/mjZJqFRXe22ze6AzJCbEBzSG4+NRxqB3l1roIreaAUHJBv2MDmrOTqaMz9Jth6bV6Ktwu6TfD0jV1dEZwGgYEiHfzxuQE/2FNyQkxbN7oIN7eqIbQG2UfbGznUPnF5QHNAaHkN3M/sZybf/MZLdya1jd1dIbuGNlLL+cWamvpfqUmxunKrDR6JuAY2ZkpGpGRrDUFpSrZU6Gk9jUnlvRMOIe3N2rC3HV1jr52id4oO6GgcKh9B6sDmrMDtyQrU3A55bK/wp3WVjGymrOjqEi3rh96fLCbAbSYCLdLWT2cNWwR/ry9UeyKbn8UFA7VuV2bgObs4LjEGBWWNj4n5LhEVgexu/iYNirdV2UpBwB2Ue0xYdcrQ2+UM1BQONT+g4cCmrODLvHRlgqKLvHOWSo3XF3Uv5v+8t/NlnIAYAc5eUVhe6We3ij7Y/SHQx04ZG0lI6s5O9j6k8VNvyzmELr2VVoc0mcxBwDBlJNXpAlz19XaJby4rEIT5q5TTl5RkFoGWENB4VCD0joGNGcHu/c3PgSmKTmErrzvdwc0BwDBUu0xmr4gv86Jyd77pi/IV7XHORcA4TwUFA417tS0gObsIMLiFthWcwhdJXsqA5oDgGBZU1Baq2ficEZSUVmF1hSUtl6jgCaioHCodVt3BTRnB1Yn4DJR1/4OVFkbymQ1BwDBEo4b0cJ5QrqgeOCBB+Ryufy+evXq5Xu8oqJCEydOVKdOndSuXTtdfPHF+vHHH/2eY9u2bRozZozi4uKUlJSku+66S4cO+U9EXrp0qQYMGKDo6Gj17NlTc+bMqdWWZ599VmlpaYqJidGQIUO0Zs2aFjnmQPl4y46A5uxg9MnJAc0hdHW1OLHeag4AgiWpvbWVB63mgGAI6YJCkk466SQVFRX5vj766CPfY7fffrsWLFigf//731q2bJm2b9+uiy66yPd4dXW1xowZo8rKSq1cuVIvvfSS5syZo/vvv9+XKSgo0JgxY3T22Wdr/fr1uu2223TDDTfo/fff92Vee+01TZ48WdOmTdO6devUt29fjRo1SiUlJa3zS2iG7butXcmwmrODKosTzK3mELpGnWRtxROrOQAIFu+O0fUNxnWJHaMR+kK+oIiMjFRycrLvq3PnzpKksrIyvfjii/rLX/6in//85xo4cKBmz56tlStXatWqVZKkDz74QPn5+Zo7d6769eunc889Vw899JCeffZZVVbWjK1+7rnnlJ6erscff1y9e/fWpEmT9Mtf/lJPPPGErw1/+ctfNH78eF177bXKyMjQc889p7i4OP3jH/9o/V+IRd0SYgOas4OD1Va2tbOeQ+ga08facrBWcwAQLN4doyXVKiq8t9kxGqEu5AuKb775Rt26ddPxxx+vK664Qtu2bZMkrV27VlVVVRo+fLgv26tXLx133HHKzc2VJOXm5qpPnz7q2rWrLzNq1CiVl5frq6++8mUOfw5vxvsclZWVWrt2rV/G7XZr+PDhvkx9Dh48qPLycr+v1tKxbVRAc3aw8pudAc0hdP36+Y8DmgOAYPLuGJ2c4D+sKTkhRjPHDXD8PhSwv5De2G7IkCGaM2eOTjzxRBUVFWn69OkaOnSo8vLyVFxcrKioKHXo0MHve7p27ari4mJJUnFxsV8x4X3c+1hDmfLych04cEC7du1SdXV1nZmNGzc22P4ZM2Zo+vTpTT7uQLA679hJ85N3H7C2oo/VHELXjr3W/oZWcwAQbOwYDTsL6YLi3HPP9f375JNP1pAhQ5SamqrXX39dsbGhP1Rn6tSpmjx5su92eXm5unfv3io/+7kPv7WcuzLr+BZuTevwGGtzI6zmAABoTewYDbsK+SFPh+vQoYNOOOEEbd68WcnJyaqsrNTu3bv9Mj/++KOSk2tW8UlOTq616pP3dmOZ+Ph4xcbGqnPnzoqIiKgz432O+kRHRys+Pt7vq7WU7LO4Tr/FnB10jLXW3WI1h9B1fCdrFxSs5gAAQPPZqqDYu3evtmzZopSUFA0cOFBt2rTR4sWLfY9v2rRJ27ZtU1ZWliQpKytLX375pd9qTIsWLVJ8fLwyMjJ8mcOfw5vxPkdUVJQGDhzol/F4PFq8eLEvE4qsdpE6qSu1q8UJ5lZzCF0D0qxdwbOaAwAAzRfSBcWdd96pZcuWqbCwUCtXrtSFF16oiIgIXXbZZUpISND111+vyZMn68MPP9TatWt17bXXKisrS6eeeqokaeTIkcrIyNCVV16pzz//XO+//77uu+8+TZw4UdHRNevT33TTTfr222/1u9/9Ths3btTf/vY3vf7667r99tt97Zg8ebJmzZqll156SRs2bNCECRO0b98+XXvttUH5vVgxJDUhoDk7SLQ4wdxqDqFrRK+ujYeakAMQeqo9Rrlbduqt9T8od8tOVXsYrgqEqpCeQ/H999/rsssu086dO9WlSxedccYZWrVqlbp06SJJeuKJJ+R2u3XxxRfr4MGDGjVqlP72t7/5vj8iIkLvvPOOJkyYoKysLLVt21ZXX321HnzwQV8mPT1d7777rm6//XY99dRTOvbYY/X3v/9do0aN8mUuueQS7dixQ/fff7+Ki4vVr18/5eTk1JqoHUrG9D1WyzY3vgv2mL7HtkJrWkfHthaHPFnMIXSt/c7aDu9rv9ulszNC9/8pgLrl5BVp+oJ8FZX9b6+klIQYTRubwYpHQAhyGcMM1dZSXl6uhIQElZWVtfh8ilnLt+jhhQ2vQiVJ947upfHDerRoW1rLiL8s1Tcl+xrN/SyprRZNPqvlG4QW8+f3N+mZDzc3mpt0dk/dOerEVmgRgEDJySvShLnrdOTJiXeALsuoAkcv0OekIT3kCc1XssfaDthWc3ZwoNLahnVWcwhdVldBYbUUwF6qPUbTF+TXKiYk+e6bviDfscOfGOYFuwrpIU9ovg/yii3n7h1zUgu3pnV0iGuj73cfsJSDvZ16fCfFRUVof2V1vZm2URE69XgKCsBO1hSU+g1zOpKRVFRWoTUFpY67YJCTV6QH3v5KxeUHffclx0frgfNOokcGIY8eCodq6A25OTk7uP3snwU0h9BWVd1wT1NlI48DCD3h2Lsu1RQTN81d51dMSFJx+UHdNHedcvKKgtQywBoKCoeyOqrHSaN/oqIjAppD6Promx2qqm54KEBVtdFH3+xopRYBCISk9jEBzdlBtcfo7vlfNpi5e/6XDH9CSKOggGOsLtgZ0BxC1wvLtwQ0ByA0DE5PVEpCjOrbIcmlmtWeBqcntmazWtSqLTu1e39Vg5nd+6u0agufXQhdFBRwEKub9DlnM79wtd3iUD2rOQChIcLt0rSxNRvPHvlO7b09bWyGozZlXfntTwHNAcFAQQHHYOWf8NEtwdpwB6s5AKEjOzNFM8cNUPIR/3+TE2IcuWTs9l2NLybSlBwQDKzyBMc49fhO6hDXpsGu445xbVj5xwFuHNZDH28ptZQDYD/ZmSkakZGsNQWlKtlToaT2NcOcnNQz4dWtQ2xAc0Aw0EMBx4hwu/THi/o0mJlxUR9HfiCFm8Hp1opCqzkAoSfC7VJWj046v98xyurRybHv3YNTrc0HsZoDgoGCAo6SnZmi58YNUHK8f1d5SkKMnnNgV3m4mrd6a0BzABAsX+/YG9AcEAwMeYLjhFNXebjaWro/oDkACJZtFt+nrOaAYKCggCN5u8rhTKmJcQHNAUDwWN1fgn0oELoY8gTAdq7MSlNjHU5uV00OAEJZ5jEJAc0BwUBBAcB2oiLdGj80vcHM+KHpiorkLQ5AaPts266A5oBgYMgTAFuaOrpm86tZKwrkOWwkgNtVU0x4HweAULa20FqhYDUHBAMFBQDbmjo6Q3eM7KWXcwu1tXS/UhPjdGVWGj0TAGxj577KgOaAYKCgAGBrUZFuXT/0+GA3AwCapVO7KJU2sCHr4TkgVHEZDwAAIEjO79stoDkgGOihAAAAIafykCcshjNGRFg7Jqs5IBgoKAAAQEiZsTC/1oILDy/c4MgFF9ZuLQ1oDggGyl2HighwDgCA1jBjYb6eX+5fTEiSx0jPLy/QjIX5wWlYCykuOxjQHBAMFBQOFWWx78lqDgCAllZ5yKNZKwoazMxaUaDKQ55WalHLS2pvbbK11RwQDBQUDlVxKLA5AABa2su5hbV6Jo7kMTU5p3C7XAHNAcFAQeFQERbfd6zmAABoaVtL9wc0Zwdd42MCmgOCgYLCoRLbtgloDgCAlpaaGBfQnB0c16ltQHNAMFBQONSZPbsENAcAQEu7MitNjY3scblqck5hGhvj1cQcEAwUFA61c7+11SCs5gAAaGkRbpdi2zS8/mBsmwhFuJ0zXnftd7sCmgOCgYLCob7deSCgOQAAWtqaglLtr6xuMLO/slprCpyzJ8P+gw0fb1NzQDBQUDhUXCNXeJqaAwCgpW3fbe0il9WcHZx0TPuA5oBgoKBwqCqPtTW6reYAAGhp6y0O67Gas4Mu7WIDmgOCgYLCobq0s7YBjtUcAAAIvM7towOaA4KBgsKheiRZ6xq1moM9VHuMcrfs1Fvrf1Dulp2qZlUQADaSZnFpVKs5O0i2uL+E1RwQDJHBbgBaxj2jM/Tyqm2WcnCGnLwiTV+Qr6KyCt99KQkxmjY2Q9mZKUFsGQBYc/mQVD307gZLOacYnJ6olIQYv/fuI6UkxGhwemIrtgpoGnooHCo2KkIjMpIazIzISFJsFJOynSAnr0gT5q6r9YFUXFahCXPXKSevKEgtAwDr1m21NjfCas4OItwuTRubIZekIxfD9d43bWyGo5bKhfNQUDjYrKsG1VtUjMhI0qyrBrVyi9ASqj1G0xfkq67BTd77pi/IZ/gTgJCX++1PAc3ZRXZmimaOG6DkBP9hTckJMZo5bgC9zAh5DHlyuFlXDdKBymo9sjBfhTv3K61TnO4ZnUHPhIOsKShtsKvcSCoqq9CaglJl9ejUeg0DgCazehXeeVfrszNTNCIjWWsKSlWyp0JJ7WuGOdEzATugoAgDsVEReuiCPsFuBlpIyZ76i4nm5AAgWLJ6dNIzH262lHOiCLfLsccGZ2PIE2BzSe2trfxhNQcAwXLq8Z3UIa5Ng5mOcW106vGcdAOhhIICsLnB6YmWPoBZIQRAqItwu3TJKcc2mPn1KccyDAgIMRQUQBhgOjYAO6j2GL39ecOr0r39eRGLTAAhhoICsLk1BaXavb+qwczu/VVaU1DaSi0CgOZpbJEJ6X+LTAAIHRQUgM0Vl1ubbG01BwDBwiITgD1RUAA299OegwHNAUCwsMgEYE8UFIDN7dxn7Uqd1RwABEu/7h0CmgPQOigoAJsrLrPW82A1BwDBMm/11oDmALQOCgrA5pLjrXX9W80BQLBsLd0f0ByA1kFBAdjc3oOHApoDgGBJTYwLaA5A66CgAGzOY6ytx241BwDBcmVWmhrbs87tqskBCB0UFIDNlVhcvclqDgCCJSrSrfFD0xvMjB+arqhITl+AUBIZ7AYAODoeizvGWs0BQDBNHZ0hSZq1okCHv225XTXFhPdxAKGDggKwOXooADjN1NEZumNkL72cW6itpfuVmhinK7PS6JkAQhQFBWBzXeOjlbfdWg4A7CIq0q3rhx4f7GYAsIBSH7C5wemdApoDAABoCgoKwOZ6dW0f0BwAAEBTUFAANvfJ1tKA5gAAAJqCggKwOauLN7HIEwAAaAkUFIDNdYyLCmgOAACgKSgoAJvr3N7a6k1WcwAAAE1BQQHYXFI7a4WC1RwAAEBTUFAAducKcA4AAKAJKCgAmysprwhoDgAAoCkoKACb+2lvZUBzAAAATUFBAdhc6b6DAc0BAAA0BQUFYHNFZdaGMlnNAQAANAUFBWBzx3SIDWgOAACgKSgoAJs7rWfngOYAAACagoICsLlTj++kDnFtGsx0jGujU4/v1EotAgAA4YSCArC5CLdLf7yoT4OZGRf1UYSbjSgAAEDgUVAADpCdmaLnxg1QcnyM3/0pCTF6btwAZWemBKllAADA6SKD3QAAgZGdmaIRGclaU1Cqkj0VSmofo8HpifRMAACAFkVBAThIhNulrB7MlQAAAK2HIU8AAAAAmo2CAgAAAECzUVAAAAAAaDYKCgAAAADNRkEBAAAAoNkoKAAAAAA0GwUFAAAAgGajoAAAAADQbBQUAAAAAJqNggIAAABAs1FQAAAAAGg2CgoAAAAAzUZBAQAAAKDZKCgAAAAANBsFBQAAAIBmo6AAAAAA0GwUFAAAAACaLTLYDQgnxhhJUnl5eZBbAgAAgHDlPRf1npseLQqKVrRnzx5JUvfu3YPcEgAAAIS7PXv2KCEh4aifx2UCVZqgUR6PR9u3b1f79u3lcrla9WeXl5ere/fu+u677xQfH9+qPztYwvGYpfA87nA8Zik8jzscj1niuMPpuMPxmKXwPO5gHrMxRnv27FG3bt3kdh/9DAh6KFqR2+3WscceG9Q2xMfHh81/VK9wPGYpPI87HI9ZCs/jDsdjljjucBKOxyyF53EH65gD0TPhxaRsAAAAAM1GQQEAAACg2SgowkR0dLSmTZum6OjoYDel1YTjMUvhedzheMxSeB53OB6zxHGH03GH4zFL4XncTjpmJmUDAAAAaDZ6KAAAAAA0GwUFAAAAgGajoAAAAADQbBQUqFdhYaFcLpfWr18f7Ka0qpY87gceeED9+vUL+PPaVVpamp588slgNyOs8P96fbCbEhbC/fc9Z84cdejQIdjNAFoNBUWIKS4u1i233KLjjz9e0dHR6t69u8aOHavFixe3elu6d++uoqIiZWZmSpJ27typ7OxsdevWzde2SZMmqby8/Kh/VigftyS5XK5aX506dQpaG1tKWlqa7/hiY2OVlpamX//611qyZEmzn/Oaa67xPWebNm2Unp6u3/3ud6qoqAhgywNvzpw5tf7mMTExzXquUH5913Wc3q+SkpKj+lmhfNyStHjxYp122mlq3769kpOTNWXKFB06dKjV2yb97//JTTfdVOuxiRMnyuVy6ZprrpEkLV++XGPHjlW3bt3kcrn05ptvNvq8LpdLUVFR6tmzpx588MGAHuc111yjCy64wO++un7fram0tFS33XabUlNTFRUVpW7duum6667Ttm3bjup57fp+Nn/+fJ1yyinq0KGD2rZtq379+unll1+29L12Peazzjqrzve1MWPGWPp+ux53VVWVHnzwQfXo0UMxMTHq27evcnJyWvznslN2CCksLNTpp5+uDh066E9/+pP69Omjqqoqvf/++5o4caI2btzYrOetrKxUVFRUk78vIiJCycnJvttut1vnn3++/vCHP6hLly7avHmzJk6cqNLSUs2bN69ZbZNC/7i9OnTooKSkJN11113q3bu3YmNjtXTp0qNqY3NUVVWpTZs2Lfb8Dz74oMaPH6/KykoVFhZq7ty5Gj58uB566CHde++9zXrO7OxszZ49W1VVVVq7dq2uvvpquVyuALc88OLj47Vp0ybf7ea0OdRf35dccomys7P9Mtdcc40qKiqUlJTUrLZJoX/cn3/+uUaPHq17771X//znP/XDDz/opptuUnV1tf785z83q21Hq3v37nr11Vf1xBNPKDY2VpJUUVGhefPm6bjjjvPl9u3bp759++q6667TRRdd1Ojzev//HTx4UAsXLtTEiRPVpk0bTZ06tcWOpb730dZQWlqqU089VVFRUXruued00kknqbCwUPfdd58GDRqk3NxcHX/88c1+/vrezx599NEAHkVgJSYm6t5771WvXr0UFRWld955R9dee62SkpI0atSoRr/fjsc8f/58VVZW+m7v3LlTffv21a9+9SvLz2HH477vvvs0d+5czZo1S7169dL777+vCy+8UCtXrlT//v1b7gcbhIxzzz3XHHPMMWbv3r21Htu1a5fv31u3bjXnnXeeadu2rWnfvr351a9+ZYqLi32PT5s2zfTt29fMmjXLpKWlGZfL5XuO66+/3nTu3Nm0b9/enH322Wb9+vX1tqegoMBIMp999lm9maeeesoce+yxTT/Yw9jhuCWZTp06NdrGxn6Wt42HmzVrlunVq5eJjo42J554onn22WdrteXVV181w4YNM9HR0Wb27NmmurraTJ8+3RxzzDEmKirK9O3b17z33nu1vu8///mPOeuss0xsbKw5+eSTzcqVK+s9bmOMSU1NNU888USt+++//37jdrvNxo0bjTHGzJ492yQkJPhl3njjDXP4W8rmzZvNeeedZ2JiYkxERIQ55ZRTzKJFi4wxxlx00UWmf//+JjU11WRnZ5uTTjqp1s/s27evue+++4wxNb//I79SU1N92S+//NJkZ2ebtm3bmqSkJDNu3DizY8cO3+NnnnmmueWWW8xdd91lOnbsaLp27WqmTZvW4O+irmNsDju8vg9XUlJi2rRpY/75z38274D/T6gf99SpU80pp5zil3n77bdNTEyMKS8vP4ojb56rr77anH/++SYzM9PMnTvXd/8rr7xiTj75ZHP++eebq6++utb3STJvvPFGo897uBEjRphTTz3VGGNMRUWFueOOO0y3bt1MXFycGTx4sPnwww99We//g5ycHNOrVy/Ttm1bM2rUKLN9+3ZjTM3f58j/mx9++GGt37eV9wzv3/rFF1803bt3N23btjUTJkwwhw4dMo8++qjp2rWr6dKli/nDH/7Q4O/ypptuMm3btjVFRUV+9+/fv98cc8wxJjs723dfXe95ffv29Xt/ePzxx01mZqaJi4szcXFxJi0tzezZs8f3+EUXXWSOO+440717dxMZGWnat29v/vznP/sdb7Dfz+rSv39/X5saUtdryPsebowx06dPD8n38CM98cQTpn379nW+JznpuFNSUswzzzxTq91XXHGFpeNuLoY8hYjS0lLl5ORo4sSJatu2ba3HvWMxPR6Pzj//fJWWlmrZsmVatGiRvv32W11yySV++c2bN+s///mP5s+f7xvD+qtf/UolJSV67733tHbtWg0YMEDnnHOOSktLm9Xm7du3a/78+TrzzDOb9f2SPY7bm6usrFRqaqoGDx6sf/zjHzL/t4XL4eNkm/qzXnnlFd1///16+OGHtWHDBj3yyCP6/e9/r5deeskvd/fdd+vWW2/Vhg0bNGrUKD311FN6/PHH9ec//1lffPGFRo0apfPOO0/ffPON3/fde++9uvPOO7V+/XqdcMIJuuyyy5o11OHWW2+VMUZvvfWW5e/Zu3evRo8erZEjR+qss85Sdna2xo4dq0WLFmnlypW+q8xDhgzRhg0b9Mknn/i+97PPPtMXX3yha6+9VpJUVFTk+9q8ebN69uypYcOGSZJ2796tn//85+rfv78+/fRT5eTk6Mcff9Svf/1rv/a89NJLatu2rVavXq3HHntMDz74oBYtWtToMaSmpqp79+46//zz9dVXX1k+fsker+8j/fOf/1RcXJx++ctfNuv7JXsc98GDB2sNYYuNjVVFRYXWrl3b9IMOkOuuu06zZ8/23f7HP/7h+38QKLGxsb4rt5MmTVJubq5effVVffHFF/rVr36l7Oxsv/eS/fv3689//rNefvllLV++XNu2bdOdd94pSbrzzjv161//WtnZ2b7/o6eddlqz27Zlyxa99957ysnJ0b/+9S+9+OKLGjNmjL7//nstW7ZMjz76qO677z6tXr26zu/3eDx69dVXdcUVV9TqIYmNjdXNN9+s999/v0n/P9xut55++ml99dVXOuOMM/TTTz/pd7/7nSQpLy9Py5Yt07Zt2zRp0iQtXrxYe/fu1QMPPOD7/lB5P/Myxmjx4sXatGmT7+c2RV5ent97+HXXXRey7+GHe/HFF3XppZfW+Z7kpOOu773to48+atZxW9ai5QosW716tZFk5s+f32Dugw8+MBEREWbbtm2++7766isjyaxZs8YYU3OVp02bNqakpMSXWbFihYmPjzcVFRV+z9ejRw/z/PPP1/mz6ruSeemll5rY2FgjyYwdO9YcOHCgKYfqxw7H7W3jww8/bNatW2f++Mc/mujoaPPUU0/5fZ+Vn3VkD0WPHj3MvHnz/PIPPfSQycrK8mvLk08+6Zfp1q2befjhh/3uGzRokLn55pv9vu/vf/97rd/Xhg0b6jxuY+rvoTDGmK5du5oJEyYYY6xdbfS6+uqrTUREhGnbtq1xuVxGknG73eb//b//5/t55557ru+5jTHmlltuMWeddVat5/J4PObCCy80AwcONPv37zfG1Py+Ro4c6Zf77rvvjCSzadMmY0zNVZ4zzjjDLzNo0CAzZcqUen8XK1euNC+99JL57LPPzNKlS80vfvELEx8fb7777rt6v+dIdnh9H6l3795+f4vmsMNxv//++8btdpt58+aZQ4cOme+//94MHTrUSKr1f7I1eK+GlpSUmOjoaFNYWGgKCwtNTEyM2bFjR0B6KDwej1m0aJGJjo42d955p9m6dauJiIgwP/zwg9/3nHPOOWbq1KnGmJr/65LM5s2bfY8/++yzpmvXrnX+DK/m9lDExcX59RCNGjXKpKWlmerqat99J554opkxY0adx1tcXGwk1fs+Nn/+fCPJrF692hhjrYficFdffbVxu91GkomOjjaSjMvl8l21Nqamd65Hjx6+4w2F9zNjjNm9e7dp27atiYyMNNHR0ebFF19sMH/4MXvfw73H7H0PP/yYQ+09/HDe9yTv390Kux73ZZddZjIyMszXX39tqqurzQcffGBiY2NNVFSU5WNvDnooQoSxuGH5hg0b1L17d3Xv3t13X0ZGhjp06KANGzb47ktNTVWXLl18tz///HPt3btXnTp1Urt27XxfBQUF2rJlS5Pa+sQTT2jdunV66623tGXLFk2ePLlJ3384Oxy3t429e/dW//79NWXKFP3ud7/Tn/70J79cU3/Wvn37tGXLFl1//fV++T/84Q+18qeccorv3+Xl5dq+fbtOP/10v8zpp5/u97uQpJNPPtn375SUFElq9kRbY0yT5hDs3btXd955p9544w25XC55PB5J0kknnaRrr71WF198sS87fvx4/etf/1JFRYUqKys1b948XXfddbWe85577lFubq7eeust3xjzzz//XB9++KHf77BXr16S5Pd7PPx3IdX8Phr6XWRlZemqq65Sv379dOaZZ2r+/Pnq0qWLnn/+ecu/Azu8vg+Xm5urDRs26Prrr2/y9x7ODsc9cuRI/elPf9JNN92k6OhonXDCCRo9erSkmivSwdKlSxeNGTNGc+bM0ezZszVmzBh17tz5qJ7znXfeUbt27RQTE6Nzzz1Xl1xyiR544AF9+eWXqq6u1gknnOD3e1y2bJnf7zEuLk49evTw3W7s/87RSEtLU/v27X23u3btqoyMDL+/SdeuXRv9+Y29BpsyD+e///2vzjnnHB1zzDF65ZVXfPcvXbpUV199tTp27Og3KX38+PHavn27jDEh834mSe3bt9f69ev1ySef6OGHH9bkyZO1dOlSS7+Ds88+W+vXr9fq1at19dVX2+I9/HAvvvii+vTpo8GDB1vK2/m4n3rqKf3sZz/zzZeZNGmSrr322hZ/X2NSdoj42c9+JpfLFbDJvUd26e3du1cpKSl1vnk0dWm75ORkJScnq1evXkpMTNTQoUP1+9//3nfC2hR2OO662jhkyBA99NBDOnjwoKKjo5v1s/bu3StJmjVrloYMGeL3WEREhN/t5nbRHj5521sMeE/sm2Lnzp3asWOH0tPTJdWccB35gV1VVeV3+84779SiRYs0cOBASdILL7ygX/7ylzrzzDO1ZMkSvfjii77s2LFjFR0drTfeeENRUVGqqqqqNeRm7ty5euKJJ7R06VIdc8wxvvv37t2rsWPH1jlJ7vDX5JET2Q8vcqxo06aN+vfvr82bN1v+Hju8vg/397//Xf369fP9zZrLLsc9efJk3X777SoqKlLHjh1VWFioqVOnHtWE3UC47rrrNGnSJEnSs88+e9TPd/bZZ2vmzJm+1Y4iI2s++vfu3auIiAitXbu21ntOu3btfP+u6/+O1aLRy8p7Rn0/qyn/d7t06VKrID3chg0bFBkZafm9rLCwUL/4xS80YcIEPfzww3rsscdUUFCg9evXq1evXvrHP/6htm3b+g2TGzt2rCIjI1VVVaUFCxaEzPuZ2+1Wz549JUn9+vXThg0bNGPGDJ111lkNfp9U83/Q+73/+Mc/1LdvX7344ou+iw+h/B6+b98+vfrqq3rwwQcbzR7JjsfdpUsXvfnmm6qoqNDOnTvVrVs33X333S3+vkZBESISExM1atQoPfvss/rtb39b6wN09+7d6tChg3r37q3vvvtO3333ne+qXn5+vnbv3q2MjIx6n3/AgAEqLi5WZGSk0tLSAtZu74v64MGDzfp+Oxx3XW1cv369OnbsqOjoaF8bm/qzunbtqm7duunbb7/VFVdcYbk98fHx6tatmz7++GO/+Ssff/xxk6++WPXUU0/J7Xb7rsJ16dJFe/bs0b59+3x/syPXm//44491zTXXaMuWLdq9e7eSk5NVWFios846S/fcc48mT57se6OMjIzU1VdfrdmzZysqKkqXXnqp7yqOVHPl/IYbbtDzzz+vU0891e/nDBgwQP/5z3+UlpbmO1FqCdXV1fryyy99V7GtsMPr22vv3r16/fXXNWPGjKN6Hslex+1yudStWzdJ0r/+9S91795dAwYMOKrnPFrZ2dmqrKyUy+WytAJPYw4/KTpc//79VV1drZKSEg0dOrTZzx8VFaXq6uoGM1beMwLB7Xbr17/+tV555RU9+OCDfvMoDhw4oL/97W+68MILlZCQ4GtXUVGRL1NeXq6CggLf7bVr18rj8ejxxx+X2+1WfHy837Khbrdb/fv31/vvv68DBw4oNjZWkZGROuaYY7R582bNnj07JN/PpJrP7+Z8drvdbt97+OWXX+475lB9D//3v/+tgwcPaty4cUf1PHY77piYGB1zzDGqqqrSf/7zn1pzMwKNIU8h5Nlnn1V1dbUGDx6s//znP/rmm2+0YcMGPf3008rKypIkDR8+XH369NEVV1yhdevWac2aNbrqqqt05pln+g2LOdLw4cOVlZWlCy64QB988IEKCwu1cuVK3Xvvvfr0008ttW/hwoWaPXu28vLyVFhYqHfffVc33XSTTj/99KP6UA/1416wYIGGDRumgwcPql+/frrxxhv1hz/8QZdeggCEkgABAABJREFUemmtNjb1Z02fPl0zZszQ008/ra+//lpffvmlZs+erb/85S8Ntumuu+7So48+qtdee02bNm3S3XffrfXr1+vWW2+1dEwN2bNnj4qLi/Xdd99p+fLlvuN9+OGHfSclQ4YMUVxcnO655x5t2bJF8+bN05w5c/ye52c/+5nmz5+v0tJSlZWV6fLLL/cVoL/61a8UERGhPXv2+PI33HCDlixZopycHL8u4+LiYl144YW69NJLNWrUKBUXF6u4uFg7duyQJN/SxZdddpk++eQTbdmyRe+//76uvfbaRk9yGvLggw/qgw8+0Lfffqt169Zp3Lhx2rp1q2644YYmPU+ov769XnvtNR06dOioP3S97HDcf/rTn/Tll1/qq6++0kMPPaQ//vGPevrpp2tdrW9tERER2rBhg/Lz8+tsy969e7V+/XrfCbn3inlT91g44YQTdMUVV+iqq67S/PnzVVBQoDVr1mjGjBl69913LT9PWlqavvjiC23atEk//fRTnT0PVt4zAuXhhx9WcnKyRowYoffee8/3XjZq1Ci53W499dRTvuzPf/5zvfzyy1qxYoW+/PJLXX311X6/8549e6qqqkp//etf9e2332rLli0qLCz0+3mPPfaYDh48qF/96lf65ptv9Mwzz+iHH37QoUOHQub9bMaMGb5FDzZs2KDHH39cL7/8crP/v3vfww/vQQu193CvF198URdccIE6dep01M9lh+NevXq15s+fr2+//VYrVqxQdna2PB6PbyGBFtOiMzTQZNu3bzcTJ040qampJioqyhxzzDHmvPPO81vGz+oyi0cqLy83t9xyi+nWrZtp06aN6d69u7niiiv8JkQe7shJdUuWLDFZWVkmISHBxMTEmJ/97GdmypQpfktAOvG433vvPdOvXz8TFxdnIiMjTZs2bUxkZGSdbWzsZ9XVxldeecX069fPREVFmY4dO5phw4b5JrPWN4G2urraPPDAA+aYY44xbdq0qXfZ2MO/b9euXb4lHeuTmprqW9ouKirKHHfccebXv/61WbJkSa3sG2+8YXr27GliY2PNL37xC/PCCy/4TbAsKCgwZ599tomIiDCxsbHmmWeeMWeeeaa59dZbjTHGzJgxw7jdbvPHP/7R9z1Dhw6ttQzfhx9+2OjSe19//bW58MILTYcOHUxsbKzp1auXue2224zH4zHGGL+f61XfJFev2267zRx33HEmKirKdO3a1YwePdqsW7eu3nxDQvn17ZWVlWUuv/zyZh1ffUL9uM8++2zf+9mQIUPMwoULA3XoTVbXxObDHf56re//RF2v58aet7Ky0tx///0mLS3NtGnTxqSkpJgLL7zQfPHFF8YYa5OpS0pKzIgRI0y7du3qXTbW+30NvWfU9beuq/11/X8+0o4dO8wtt9xiunfvbiIiIowkc9ppp5mdO3f65crKyswll1xi4uPjTffu3c2cOXNqTcr+y1/+YlJSUkxsbKzp1q2bGTBggJHk99l38cUXG7fbbWJiYszYsWPNn//8ZxMREREy72f33nuv6dmzp4mJiTEdO3Y0WVlZ5tVXX23wd+hV32toxowZpkuXLn7LsIbSe7gxxmzcuNFIMh988IGlYz2cXY976dKlpnfv3iY6Otp06tTJXHnllbUWXmgJLmOaOBASAFqAMUY/+9nPdPPNNx/VRH8AONKLL76om2++Wa+99lqtXb1bQji+n4XjMUvhe9xHYg4FgKDbsWOHXn31VRUXFwd8zX0AuP7665WYmOjby+fwce6BFo7vZ+F4zFL4HnddKCgABF1SUpI6d+6sF154QR07dgx2cwA40IUXXtgqPycc38/C8Zil8D3uujDkCQAAAECzscoTAAAAgGajoAAAAADQbBQUAAAAAJqNggIAAABAs1FQAAAAAGg2CgoAAAAAzUZBAQBQZWVlsJsQcFVVVcFuAgCEBQoKAHCgs846S5MmTdKkSZOUkJCgzp076/e//728Ww+lpaXpoYce0lVXXaX4+HjdeOONkqT//Oc/OumkkxQdHa20tDQ9/vjjfs978OBBTZkyRd27d1d0dLR69uypF1980fd4Xl6ezj33XLVr105du3bVlVdeqZ9++sn3+P/7f/9Pffr0UWxsrDp16qThw4dr3759kqSlS5dq8ODBatu2rTp06KDTTz9dW7du9X3vzJkz1aNHD0VFRenEE0/Uyy+/7Nc2l8ulmTNn6rzzzlPbtm318MMPN/g7Wrp0qVwulxYvXqxTTjlFcXFxOu2007Rp0yZfZsuWLTr//PPVtWtXtWvXToMGDdJ///tfv+dJS0vTH/7wB1111VVq166dUlNT9fbbb2vHjh06//zz1a5dO5188sn69NNP/b7vo48+0tChQxUbG6vu3bvrt7/9re93AQC2YgAAjnPmmWeadu3amVtvvdVs3LjRzJ0718TFxZkXXnjBGGNMamqqiY+PN3/+85/N5s2bzebNm82nn35q3G63efDBB82mTZvM7NmzTWxsrJk9e7bveX/961+b7t27m/nz55stW7aY//73v+bVV181xhiza9cu06VLFzN16lSzYcMGs27dOjNixAhz9tlnG2OM2b59u4mMjDR/+ctfTEFBgfniiy/Ms88+a/bs2WOqqqpMQkKCufPOO83mzZtNfn6+mTNnjtm6dasxxpj58+ebNm3amGeffdZs2rTJPP744yYiIsIsWbLE1zZJJikpyfzjH/8wW7Zs8X1vfT788EMjyQwZMsQsXbrUfPXVV2bo0KHmtNNO82XWr19vnnvuOfPll1+ar7/+2tx3330mJibG77lTU1NNYmKiee6558zXX39tJkyYYOLj4012drZ5/fXXzaZNm8wFF1xgevfubTwejzHGmM2bN5u2bduaJ554wnz99dfm448/Nv379zfXXHPNUfzVASA4KCgAwIHOPPNMvxNYY4yZMmWK6d27tzGm5iT4ggsu8Pueyy+/3IwYMcLvvrvuustkZGQYY4zZtGmTkWQWLVpU58986KGHzMiRI/3u++6774wks2nTJrN27VojyRQWFtb63p07dxpJZunSpXU+92mnnWbGjx/vd9+vfvUrM3r0aN9tSea2226r8/vr4i0o/vvf//rue/fdd40kc+DAgXq/76STTjJ//etffbdTU1PNuHHjfLeLioqMJPP73//ed19ubq6RZIqKiowxxlx//fXmxhtv9HveFStWGLfb3eDPBoBQxJAnAHCoU089VS6Xy3c7KytL33zzjaqrqyVJp5xyil9+w4YNOv300/3uO/30033fs379ekVEROjMM8+s8+d9/vnn+vDDD9WuXTvfV69evSTVDB3q27evzjnnHPXp00e/+tWvNGvWLO3atUuSlJiYqGuuuUajRo3S2LFj9dRTT6moqKjRtm3YsMHvviOPyYqTTz7Z9++UlBRJUklJiSRp7969uvPOO9W7d2916NBB7dq104YNG7Rt27Z6n6Nr166SpD59+tS6z/u8n3/+uebMmeP3uxo1apQ8Ho8KCgqafAwAEEwUFAAQptq2bdukfGxsbIOP7927V2PHjtX69ev9vr755hsNGzZMERERWrRokd577z1lZGTor3/9q0488UTfCfTs2bOVm5ur0047Ta+99ppOOOEErVq1qkWPSZLatGnj+7e3APN4PJKkO++8U2+88YYeeeQRrVixQuvXr1efPn1qTWKv6zkaet69e/fqN7/5jd/v6fPPP9c333yjHj16NPkYACCYKCgAwKFWr17td3vVqlX62c9+poiIiDrzvXv31scff+x338cff6wTTjhBERER6tOnjzwej5YtW1bn9w8YMEBfffWV0tLS1LNnT78v74m+y+XS6aefrunTp+uzzz5TVFSU3njjDd9z9O/fX1OnTtXKlSuVmZmpefPmNdi2jIyMpv1Smujjjz/WNddcowsvvFB9+vRRcnKyCgsLj/p5BwwYoPz8/Fq/p549eyoqKuroGw4ArYiCAgAcatu2bZo8ebI2bdqkf/3rX/rrX/+qW2+9td78HXfcocWLF+uhhx7S119/rZdeeknPPPOM7rzzTkk1qxldffXVuu666/Tmm2+qoKBAS5cu1euvvy5JmjhxokpLS3XZZZfpk08+0ZYtW/T+++/r2muvVXV1tVavXq1HHnlEn376qbZt26b58+drx44d6t27twoKCjR16lTl5uZq69at+uCDD/TNN9+od+/ekqS77rpLc+bM0cyZM/XNN9/oL3/5i+bPn+9rW0v52c9+pvnz5/t6EC6//HJfL8PRmDJlilauXKlJkyb5enHeeustTZo0KQCtBoDWFRnsBgAAWsZVV12lAwcOaPDgwYqIiNCtt97qWx62LgMGDNDrr7+u+++/Xw899JBSUlL04IMP6pprrvFlZs6cqXvuuUc333yzdu7cqeOOO0733HOPJKlbt276+OOPNWXKFI0cOVIHDx5UamqqsrOz5Xa7FR8fr+XLl+vJJ59UeXm5UlNT9fjjj+vcc8/Vjz/+qI0bN+qll17Szp07lZKSookTJ+o3v/mNJOmCCy7QU089pT//+c+69dZblZ6ertmzZ+uss85qyV+h/vKXv+i6667Taaedps6dO2vKlCkqLy8/6uc9+eSTtWzZMt17770aOnSojDHq0aOHLrnkkgC0GgBal8uY/1uUHADgGGeddZb69eunJ598MthNAQA4HEOeAAAAADQbBQUAwJFuuukmv2VZD/+66aabgt08AHAMhjwBAByppKSk3vkO8fHxSkpKauUWAYAzUVAAAAAAaDaGPAEAAABoNgoKAAAAAM1GQQEAAACg2SgoAAAAADQbBQUAAACAZqOgAAAAANBsFBQAAAAAmo2CAgAAAECzUVAAAAAAaDYKCgAAAADNRkEBAAAAoNkoKAAAAAA0W2SwGxBOPB6Ptm/frvbt28vlcgW7OQAAAAhDxhjt2bNH3bp1k9t99P0LFBStaPv27erevXuwmwEAAADou+++07HHHnvUz0NB0Yrat28vqeaPFx8fH+TWAAAAIByVl5ere/fuvnPTo0VB0Yq8w5zi4+MpKAAAABBUgRqCz6RsAAAAAM1GQQEAAACg2SgoAAAAADQbBQUAAACAZqOgAAAAANBsFBQAAAAAmi2oBcWMGTM0aNAgtW/fXklJSbrgggu0adMmv8xZZ50ll8vl93XTTTf5ZbZt26YxY8YoLi5OSUlJuuuuu3To0CG/zNKlSzVgwABFR0erZ8+emjNnTq32PPvss0pLS1NMTIyGDBmiNWvW+D1eUVGhiRMnqlOnTmrXrp0uvvhi/fjjj4H5ZQAAAAA2FNSCYtmyZZo4caJWrVqlRYsWqaqqSiNHjtS+ffv8cuPHj1dRUZHv67HHHvM9Vl1drTFjxqiyslIrV67USy+9pDlz5uj+++/3ZQoKCjRmzBidffbZWr9+vW677TbdcMMNev/9932Z1157TZMnT9a0adO0bt069e3bV6NGjVJJSYkvc/vtt2vBggX697//rWXLlmn79u266KKLWvA3BAAAAIQ2lzHGBLsRXjt27FBSUpKWLVumYcOGSarpoejXr5+efPLJOr/nvffe0y9+8Qtt375dXbt2lSQ999xzmjJlinbs2KGoqChNmTJF7777rvLy8nzfd+mll2r37t3KycmRJA0ZMkSDBg3SM888I0nyeDzq3r27brnlFt19990qKytTly5dNG/ePP3yl7+UJG3cuFG9e/dWbm6uTj311EaPr7y8XAkJCSorK2NjOwAAAARFoM9JQ2oORVlZmSQpMTHR7/5XXnlFnTt3VmZmpqZOnar9+/f7HsvNzVWfPn18xYQkjRo1SuXl5frqq698meHDh/s956hRo5SbmytJqqys1Nq1a/0ybrdbw4cP92XWrl2rqqoqv0yvXr103HHH+TIAAABAuIkMdgO8PB6PbrvtNp1++unKzMz03X/55ZcrNTVV3bp10xdffKEpU6Zo06ZNmj9/viSpuLjYr5iQ5LtdXFzcYKa8vFwHDhzQrl27VF1dXWdm48aNvueIiopShw4damW8P+dIBw8e1MGDB323y8vLrf46AAAAAFsImYJi4sSJysvL00cffeR3/4033uj7d58+fZSSkqJzzjlHW7ZsUY8ePVq7mU0yY8YMTZ8+PdjNAAAAAFpMSAx5mjRpkt555x19+OGHOvbYYxvMDhkyRJK0efNmSVJycnKtlZa8t5OTkxvMxMfHKzY2Vp07d1ZERESdmcOfo7KyUrt37643c6SpU6eqrKzM9/Xdd981eGwAAACA3QS1oDDGaNKkSXrjjTe0ZMkSpaenN/o969evlySlpKRIkrKysvTll1/6rca0aNEixcfHKyMjw5dZvHix3/MsWrRIWVlZkqSoqCgNHDjQL+PxeLR48WJfZuDAgWrTpo1fZtOmTdq2bZsvc6To6GjFx8f7fQEAAABOEtQhTxMnTtS8efP01ltvqX379r65CAkJCYqNjdWWLVs0b948jR49Wp06ddIXX3yh22+/XcOGDdPJJ58sSRo5cqQyMjJ05ZVX6rHHHlNxcbHuu+8+TZw4UdHR0ZKkm266Sc8884x+97vf6brrrtOSJUv0+uuv69133/W1ZfLkybr66qt1yimnaPDgwXryySe1b98+XXvttb42XX/99Zo8ebISExMVHx+vW265RVlZWZZWeAIAAAAcyQSRpDq/Zs+ebYwxZtu2bWbYsGEmMTHRREdHm549e5q77rrLlJWV+T1PYWGhOffcc01sbKzp3LmzueOOO0xVVZVf5sMPPzT9+vUzUVFR5vjjj/f9jMP99a9/Nccdd5yJiooygwcPNqtWrfJ7/MCBA+bmm282HTt2NHFxcebCCy80RUVFlo+3rKzMSKrVfgAAAKC1BPqcNKT2oXA69qEAAABAsAX6nDRkVnkCAMBJqj1GawpKVbKnQkntYzQ4PVERblewmwUAAUdBAQBAgOXkFWn6gnwVlVX47ktJiNG0sRnKzkwJYssAIPBCYtlYtKxqj1Hulp16a/0Pyt2yU9UeRrkBQEvJySvShLnr/IoJSSouq9CEueuUk1cUpJYBQMugh8LhuEoGAK2n2mM0fUG+6rpsYyS5JE1fkK8RGckMfwLgGPRQOBhXyQCgda0pKK31nns4I6morEJrCkpbr1EA0MIoKByqsatkUs1VMoY/AUDglOypv5hoTg4A7ICCwqG4SgYArS+pfUxAcwBgBxQUDsVVMgBofYPTE5WSEKP6Zke4VDOPbXB6Yms2CwBaFAWFQ3GVDABaX4TbpWljMySpVlHhvT1tbAYTsgE4CgWFQ3GVDACCIzszRTPHDVBygv8Fm+SEGM0cN4AV9gA4DsvGOpT3KtmEuevkkvwmZ3OVDABaVnZmikZkJLNTNoCw4DLGsMxPKykvL1dCQoLKysoUHx/fKj8zJ69ID7ydr+Jy9qEAAABA4M9JGfIUFvxrRmpIAAAABAoFhYN5N7YrLj/od/+P5QfZ2A4AAAABQUHhUGxsBwAAgNZAQeFQbGwHAACA1kBB4VBsbAcAAIDWQEHhUGxsBwAAgNZAQeFQbGwHAACA1kBB4VDeje0k1Soq2NgOAAAAgUJB4WDZmSmaOW6AkhP8hzUlJ8Ro5rgBbGwHAACAoxYZ7AagZWVnpujME5L0yMJ8Fe7cr7ROcbpndIZioyKC3TTHqPYYrSkoVcmeCiW1rxlGRs8PAAAIFxQUDjdjYb5mrSiQd7uJFd9Ir6zepvFD0zV1dEZwG+cAOXlFmr4g32+J3pSEGE0bm0EPEAAACAsMeXKwGQvz9fzy/xUTXh4jPb+8QDMW5genYQ7h3Yn8yP0+issq2IkcAACEDQoKh6o85NGsFQUNZmatKFDlIU8rtchZ2IkcAACgBgWFQ72cW1irZ+JIHlOTQ9OxEzkAAEANCgqHKti5L6A5+GMncgAAgBoUFA5ldY0h1iJqHnYiBwAAqEFB4VD9u3cMaA7+2IkcAACgBgWFQ6V0iA1oDv7YiRwAAKAGBYVDea+gN4Qr6EeHncgBAADY2M6xvFfQJ8xdJ0l+y5tyBT1wsjNTNCIjmZ2yAQBA2HIZY1gov5WUl5crISFBZWVlio+Pb5WfyU7OAAAnqvYYLuYAzRToc1J6KByOK+gAAKfhYhkQWuihaEXB6KEAAMBJcvKKNGHuOh158uK9TMYcNqBxgT4nZVI2AACwhWqP0fQF+bWKCel/cwWnL8hXtYdrpUBroqAAAAC2sKag1G+Y05GMpKKyCq0pKG29RgGgoAAAAPZQsqf+YqI5OQCBQUEBAABsIal9w/srNTUHIDAoKAAAgC14N22tb51Cl9i0FQgGCoowcKCyWr9/80td+eJq/f7NL3WgsjrYTQIAoMm8m7ZKqlVUsGkrEDwsG9uKgrFs7Ph/fqJF+SW17h+RkaRZVw1qlTYAABBI7EMBHJ1An5NSULSi1i4o6ismvCgqAAB2xU7ZQPOxUzYsOVBZ3WAxIUmL8kt0oLJasVERrdQqAAACI8LtUlaPTsFuBgAxh8KxHlmYH9AcAAAAUBcKCocq+Gl/QHMAAABAXSgoHCq2jbU/rdUcAAAAUBfOJh1qZEbXgOYAAACAulBQONSxiW0DmgMAAADqQkHhUN7dRBvCbqIAAAA4WhQUDuXdTbS+FbldYjdRAAAAHD0KCgfLzkzRzHEDavVUpCTEaOa4AewmCgAAgKPGxnYOl52ZohEZyewmCgAAgBZBQREG2E0UAAAALYUhTwAAAACajYICAAAAQLNRUAAAAABoNgoKAAAAAM1GQQEAAACg2SgoAAAAADQbBQUAAACAZqOgAAAAANBsFBQAAAAAmo2CAgAAAECzUVAAAAAAaDYKCgAAAADNRkEBAAAAoNkoKAAAAAA0GwUFAAAAgGajoAAAAADQbBQUAAAAAJotMtgNQMur9hitKShVyZ4KJbWP0eD0REW4XcFuFgAAAByAgsLhcvKKNH1BvorKKnz3pSTEaNrYDGVnpgSxZQAAAHAChjw5WE5ekSbMXedXTEhScVmFJsxdp5y8oiC1DAAAAE5BQeFQ1R6j6QvyZep4zHvf9AX5qvbUlQAAAACsoaBwqDUFpbV6Jg5nJBWVVWhNQWnrNQoAAACOQ0HhUCV76i8mmpMDAAAA6kJB4VBJ7WMCmgMAAADqQkHhUIPTE5WSEKP6Fod1qWa1p8Hpia3ZLAAAADgMBYVDRbhdmjY2Q5JqFRXe29PGZrAfBQAAAI4KBYWDZWemaOa4AUpO8B/WlJwQo5njBrAPBQAAAI4aG9s5XHZmin7eq6tezi3U1tL9Sk2M05VZaYqKpJYEAADA0aOgcLi6dsr++0cF7JQNAACAgOAytYOxUzYAAABaGgWFQ7FTNgAAAFoDBYVDsVM2AAAAWgMFhUOxUzYAAABaAwWFQ7FTNgAAAFoDBYVDsVM2AAAAWgMFhUOxUzYAAABaAwWFg7FTNgAAAFoaG9s5XHZmikZkJGtNQalK9lQoqX3NMCd6JgAAABAIFBRhIMLtUlaPTsFuBgAAAByIIU8AAAAAmo2CAgAAAECzUVAAAAAAaDbmUABHqdpjmPQOAADCVlB7KGbMmKFBgwapffv2SkpK0gUXXKBNmzb5ZSoqKjRx4kR16tRJ7dq108UXX6wff/zRL7Nt2zaNGTNGcXFxSkpK0l133aVDhw75ZZYuXaoBAwYoOjpaPXv21Jw5c2q159lnn1VaWppiYmI0ZMgQrVmzpsltQXjJySvSGY8u0WWzVunWV9frslmrdMajS5STVxTspgEAALSKoBYUy5Yt08SJE7Vq1SotWrRIVVVVGjlypPbt2+fL3H777VqwYIH+/e9/a9myZdq+fbsuuugi3+PV1dUaM2aMKisrtXLlSr300kuaM2eO7r//fl+moKBAY8aM0dlnn63169frtttu0w033KD333/fl3nttdc0efJkTZs2TevWrVPfvn01atQolZSUWG4LwktOXpEmzF2norIKv/uLyyo0Ye46igoAABAWXMYYE+xGeO3YsUNJSUlatmyZhg0bprKyMnXp0kXz5s3TL3/5S0nSxo0b1bt3b+Xm5urUU0/Ve++9p1/84hfavn27unbtKkl67rnnNGXKFO3YsUNRUVGaMmWK3n33XeXl5fl+1qWXXqrdu3crJydHkjRkyBANGjRIzzzzjCTJ4/Goe/fuuuWWW3T33XdbaktjysvLlZCQoLKyMsXHxwf0d4fWVe0xOuPRJbWKCS+XajYQ/GjKzxn+BAAAQkqgz0lDalJ2WVmZJCkxMVGStHbtWlVVVWn48OG+TK9evXTccccpNzdXkpSbm6s+ffr4iglJGjVqlMrLy/XVV1/5Moc/hzfjfY7KykqtXbvWL+N2uzV8+HBfxkpbjnTw4EGVl5f7fcEZ1hSU1ltMSJKRVFRWoTUFpa3XKAAAgCAImYLC4/Hotttu0+mnn67MzExJUnFxsaKiotShQwe/bNeuXVVcXOzLHF5MeB/3PtZQpry8XAcOHNBPP/2k6urqOjOHP0djbTnSjBkzlJCQ4Pvq3r27xd8GQl3JnvqLiebkAAAA7CpkCoqJEycqLy9Pr776arCbEjBTp05VWVmZ7+u7774LdpMQIEntYwKaAwAAsKuQKCgmTZqkd955Rx9++KGOPfZY3/3JycmqrKzU7t27/fI//vijkpOTfZkjV1ry3m4sEx8fr9jYWHXu3FkRERF1Zg5/jsbacqTo6GjFx8f7fcEZBqcnKiUhRvXNjnBJSkmoWUIWAADAyYJaUBhjNGnSJL3xxhtasmSJ0tPT/R4fOHCg2rRpo8WLF/vu27Rpk7Zt26asrCxJUlZWlr788ku/1ZgWLVqk+Ph4ZWRk+DKHP4c3432OqKgoDRw40C/j8Xi0ePFiX8ZKWxA+ItwuTRtb8/o6sqjw3p42NoMJ2QAAwPGCusrTzTffrHnz5umtt97SiSee6Ls/ISFBsbGxkqQJEyZo4cKFmjNnjuLj43XLLbdIklauXCmpZtnYfv36qVu3bnrsscdUXFysK6+8UjfccIMeeeQRSTXLxmZmZmrixIm67rrrtGTJEv32t7/Vu+++q1GjRkmqWTb26quv1vPPP6/BgwfrySef1Ouvv66NGzf65lY01pbGsMqT8+TkFWn6gny/CdopCTGaNjZD2ZkpQWwZAABA3QJ+TmqCSDWL4dT6mj17ti9z4MABc/PNN5uOHTuauLg4c+GFF5qioiK/5yksLDTnnnuuiY2NNZ07dzZ33HGHqaqq8st8+OGHpl+/fiYqKsocf/zxfj/D669//as57rjjTFRUlBk8eLBZtWqV3+NW2tKQsrIyI8mUlZVZ/h6EvkPVHrNy80/mzc++Nys3/2QOVXuC3SQAAIB6BfqcNKT2oXA6eiiApqv2GK0pKFXJngolta+Zl8JQMgAAmi/Q56SRAWgTALQIhpQBABD6QmKVJwA4Uk5ekSbMXVdrA8HisgpNmLtOOXlFQWoZAAA4HAUFgJBT7TGaviBfdY3H9N43fUG+qj2M2AQAINgoKACEnDUFpbV6Jg5nJBWVVWhNQWnrNQoAANSJggJAyCnZU38x0ZwcAABoORQUAEJOUvuYgOYAAEDLoaAAEHIGpnZUYyvDul01OQAAEFwUFABCztqtu9TYfGuPqckBAIDgoqAAEHKYQwEAgH1QUAAIOcyhAADAPigoAIScwemJSkmIUX3TKFyq2TF7cHpiazYLAADUgYICQMiJcLs0bWyGJNUqKry3p43NUERjM7cBAECLo6AAEJKyM1M0c9wAJSf4D2tKTojRzHEDlJ2ZEqSWAQCAw0UGuwEAUJ/szBSNyEjWmoJSleypUFL7mmFO9EwAABA6KCgAhLQIt0tZPToFuxkAAKAeDHkCAAAA0GwUFAAAAACajYICAAAAQLNRUAAAAABoNgoKAAAAAM1GQQEAAACg2Vg2NgxUewzr+AMAAKBFUFA43P9n787Doyrv94/fk0A2IAMJhkwUSUAFxiCIssQF28oSsVFa27qh2FqsFPy5V2mrkdpK3Wprq2CpFRW1aL9qRWksooCFQBBEiQEEDKCSECVkYQmBmfP7I83IIduZySyZk/frunJdzpk7k4fjZHI+59kKiss0a1GJyqrrfMdczgTl57nZaRgAAADtxpAnGysoLtO0BetNxYQklVfXadqC9SooLotQywAAAGAXFBQ25fEamrWoREYzzzUem7WoRB5vcwkAAADAGgoKmyoqrWzSM3EsQ1JZdZ2KSivD1ygAAADYDgWFTVXUtlxMBJIDAAAAmkNBYVNpPRKCmgMAAACaQ0FhUyOzUuRyJqilxWEdaljtaWRWSjibBQAAAJuhoLCp2BiH8vPcktSkqGh8nJ/nZj8KAAAAtAsFhY3lZrs0Z/JwpTvNw5rSnQmaM3k4+1AAAACg3djYzuZys13K6d9bP5lfpN3VdcpwJujv142UM6lrpJsGAAAAG6CgsLlL/vK+Pv6ixve4rLpOQ3/zH51xUrLemHF+BFsGAAAAO2DIk40dX0wc6+MvanTJX94Pc4sAAABgNxQUNrW/7miLxUSjj7+o0f66o2FqEQAAAOyIgsKmbl34YVBzAAAAQHMoKGxq175DQc0BAAAAzaGgsKmTeyUGNQcAAAA0h4LCph67/Myg5gAAAIDmUFDYVPeELjrjpORWM2eclKzuCawcDAAAgMBRUNjYGzPOb7GoYB8KAAAABAO3p23ujRnna3/dUd268EPt2ndIJ/dK1GOXn0nPBAAAAIKCq8pOoHtCF82bMiLSzQAAAIANUVB0Ah6voaLSSlXU1imtR4JGZqUoNsYR6WYBAADABigobK6guEyzFpWorLrOd8zlTFB+nlu52a4ItgwAAAB2wKRsGysoLtO0BetNxYQklVfXadqC9SooLotQywAAAGAXFBQ25fEamrWoREYzzzUem7WoRB5vcwkAAADAGgoKmyoqrWzSM3EsQ1JZdZ2KSivD1ygAAADYDnMobKqituViIpAcAMA/LIgBoLOgoLCptB4JQc0BkcJFGaIRC2IA6EwoKGxqZFaKXM4ElVfXNTuPwiEp3dlwcQZ0VFyUIRo1Lohx/Gdv44IYcyYP5/0LwFaYQ2FTsTEO5ee5JTUUD8dqfJyf5+ZOLzosVilDNGJBDACdEQWFjeVmuzRn8nClO83DmtKdCdwhQ4fGRRmiFQtiAOiMGPJkc7nZLn1nUB89X7hDOysPql9Kkq7JyVRcF2pJdFz+XJTlDEgNX8OANrAgBoDOiILC5pobg/63/5YyBh0dGhdliFYsiAGgM+I2tY0xBh3RiosyRKvGBTFamp3mUMPCAiyIAcBOKChsijHoiGZn9eulttYLiHE05ICOhAUxAHRGFBQ2xcRARLN1O/eprVrXazTkgI6GBTEAdDbMobApxqAjmvH+RbTLzXZpnDudTRkBdAoUFDbFGHREM96/sIPYGAerkAHoFBjyZFOMQUc0Y2IrAADRg4LCphiDjmjGxFYAAKIHBYVNMQYd0Y6JrQAARAfmUNgUY9BhB0xsBQCg46OHwqZGZqWoZ1LXVjO9kroyBh0AAADtQg9FJ8aWdujoCorLNGtRiWlPFZczQfl5boY8AQDQQdBDYVNFpZWqOnik1UzVwSNsbIcOq6C4TNMWrG+yQWN5dZ2mLVivguKyCLUMAAAci4LCppiUjWjm8Rqataik2V60xmOzFpXI09ZSZgAAIOQoKGyKSdnh4/EaKty+V//a8KUKt+/lIjcIikorm/RMHMuQVFZdRw8bAAAdAHMobKpxY7DWLsrYGKz9GOMfGvSwAQAQPeihsKnYGIcuGdr6Be0lQ10sv9kOjPEPHXrYAACIHhQUNuXxGlr4wRetZhZ+8AXDcwLEGP/Qauxha6ncdYgeNgAAOgoKCptavX2vpVWeVm/fG6YW2Qtj/EMrNsah/Dy3JDUpKhof5+e56WEDAKADoKCwqVXbvw5qDmaM8Q+93GyX5kwernSneVhTujNBcyYPZ44KAAAdBJOybWp31aGg5mDGGP/wyM12aZw7XUWllaqorVNaj4ZhTvRMAADQcVBQ2FRGr8Sg5mDGKlrhExvjUM6A1Eg3AwAAtIAhTzZ1Tv/eQc3BjFW0AAAAGlBQ2NTQvj2DmoOZx2vojY9aXxb2jY/KWOUJAADYHgWFTT1YsCmoOZi1tcqTxCpPAACgc6CgsKkdew8GNQczVnkCAABoQEFhU5mpSUHNwYxVnsLH4zVUuH2v/rXhSxVu38swMgAAOhhWebKpX0506/nVuyzl4L/GVZ7Kq+ua3S3boYb9EljlqX0Kiss0a1GJaXiZy5mg/Dw3+1AAANBB0ENhU4lxsRrnTms1M86dpsS42DC1yF7YyTn0CorLNG3B+iZzVcqr6zRtwXoVFLc+KR4AAIQHBYWNzbt2RItFxTh3muZdOyLMLbIXdnIOHY/X0KxFJc32/jQem7WohOFPAAB0AAx5srl5147Q/rqjunXhh9q175BO7pWoxy4/U90T+F8fDOzkHBptraJl6JtVtNj0DgCAyKKHwuYKiss09g/LtGRThbaU12rJpgqN/cMyhougQ2MVLQAAoge3qW2soLhMNy5Y3+R4ec1h3bhgveYyLKfdmDQcGqyiBQBA9KCHwqY8XkN3v7qx1czdr25kDHo7MGk4dEZmpahnUtdWM72SurKKFgAAHQAFhU2t3r5XVQePtJqpOnhEq7fvDVOL7IVJw5HHmQUAoGOgoLCpws++DmoOZv5MGob/ikorLRXEnF8AACKPgsK2rK4yxGpEgWDScGhxfgEAiB4UFDZldSlNltwMDJOGQ4vzCwBA9KCgsKnR/VMtTWod3Z+CIhAjs1Lkcia02L/jUMNqT0waDgznFwCA6EFBYVOxMQ79/vtDWs3M/v4QNmALUGyMQ/l5bklNB401Ps7Pc3N+A8T5BQAgelBQ2FhutktzJw9XerJ5WIjLmcAeFEGQm+3SnMnDle40n990Z4LmcH7brfH89kmONx3vkxzP+QUAoANhYzuby812aZw7XUWllaqorVNaj4ZhItzZDQ7Obzi01EcBAAA6AnooOgGP11DJ7mqt27lPJbur2RsBUaFx48DymuM2Dqxh40BEB4/XUOH2vfrXhi9VuH0vn70AbCuiBcWKFSuUl5enjIwMORwOvf7666bnr7vuOjkcDtNXbm6uKVNZWamrr75aycnJ6tmzp66//nrt37/flPn44491/vnnKyEhQX379tVDDz3UpC2vvPKKBg0apISEBA0ZMkSLFy82PW8Yhu699165XC4lJiZq7Nix2rp1a3BORAjNXlyiQff8W/e/tUnPFe7U/W9t0qB7/q3Zi0si3TRbKCgu03kPvqsr563Wzf/YoCvnrdZ5D77LxW47tbZxoNSwzwcbB6Ij47MBQGcS0YLiwIEDGjp0qJ544okWM7m5uSorK/N9vfTSS6bnr776an3yySdasmSJ3nzzTa1YsUI33HCD7/mamhqNHz9e/fr107p16/Twww/rvvvu01//+ldfZtWqVbryyit1/fXX68MPP9SkSZM0adIkFRcX+zIPPfSQHn/8cc2dO1dr1qxRt27dNGHCBNXVddx18GcvLtFTK0p1/DWX15CeWlFKUdFOjXfQj9/grryaO+jt1dbGgRIbB6Lj4rMBQGfjMAyjQ9ziczgceu211zRp0iTfseuuu05VVVVNei4abdq0SW63W2vXrtXZZ58tSSooKNDEiRP1xRdfKCMjQ3PmzNGvfvUrlZeXKy4uTpJ099136/XXX9fmzZslSZdffrkOHDigN9980/fao0eP1rBhwzR37lwZhqGMjAzdfvvtuuOOOyRJ1dXV6tOnj+bPn68rrrjC0r+xpqZGTqdT1dXVSk5O9vcU+aX+qFeD7vl3k2LiWDEOafP9FymuCyPf/OXxGjrvwXdbvOh1qGFy9n/v+g7zKQLw2vovdOvLH7WZe+xHQ/W94SeFoUWANXw2AIgGwb4m7fBXksuWLVNaWpoGDhyoadOmae/evb7nCgsL1bNnT18xIUljx45VTEyM1qxZ48uMGTPGV0xI0oQJE7Rlyxbt27fPlxk7dqzp506YMEGFhYWSpNLSUpWXl5syTqdTo0aN8mWac/jwYdXU1Ji+wuX5wh2tFhNSQ0/F84U7wtIeu2nrDroh7qC3R+WB+qDmgHDhswFAZ9ShC4rc3Fw999xzWrp0qR588EEtX75cF110kTwejySpvLxcaWlppu/p0qWLUlJSVF5e7sv06dPHlGl83Fbm2OeP/b7mMs2ZPXu2nE6n76tv375+/fvbY2flwaDmYFZRa22om9UczFK6x7cd8iMHhAufDQA6ow69bOyxQ4mGDBmiM844QwMGDNCyZct04YUXRrBl1sycOVO33Xab73FNTU3Yiop+KUlBzcEsrUdC2yE/cjA7fu+U9uaAcOGzAUBn1KF7KI7Xv39/9e7dW9u2bZMkpaenq6KiwpQ5evSoKisrlZ6e7svs2bPHlGl83Fbm2OeP/b7mMs2Jj49XcnKy6StcrsnJVFvDc2McDTn4b2RWilzO1i8IXM6GPSngP84volXje7elj1+HeO8CsJ+oKii++OIL7d27Vy5Xww65OTk5qqqq0rp163yZd999V16vV6NGjfJlVqxYoSNHjvgyS5Ys0cCBA9WrVy9fZunSpaaftWTJEuXk5EiSsrKylJ6ebsrU1NRozZo1vkxHE9clRhcOTms1c+HgNCZkByg2xqFLhra+U/MlQ11MugxQbIxD+XluOdT8tnYOSfl5bs4vOpzG967U8paMvHcB2E1Eryb379+vDRs2aMOGDZIaJj9v2LBBu3bt0v79+3XnnXdq9erV2rFjh5YuXapLL71Up5xyiiZMmCBJGjx4sHJzczV16lQVFRVp5cqVmjFjhq644gplZGRIkq666irFxcXp+uuv1yeffKKFCxfqT3/6k2ko0s0336yCggI9+uij2rx5s+677z598MEHmjFjhqSGFahuueUW/fa3v9Ubb7yhjRs36tprr1VGRoZpVaqOxOM1VPxl65PAi7+sYR3/AHm8ht74qPWlH9/4qIzz2w652S7NmTxc6cf1VKQ7EzRn8nDlZrde0AGRwnsXQGcT0WVjly1bpm9/+9tNjk+ZMkVz5szRpEmT9OGHH6qqqkoZGRkaP3687r//ftPk6MrKSs2YMUOLFi1STEyMLrvsMj3++OPq3r27L/Pxxx9r+vTpWrt2rXr37q2bbrpJd911l+lnvvLKK/r1r3+tHTt26NRTT9VDDz2kiRMn+p43DEP5+fn661//qqqqKp133nl68sknddppp1n+94Zz2djC7Xt15bzVbeZemjpaOQNSQ9oWO+L8ho/Ha6iotFIVtXVK69EwVIS7u4gGvHcBdFTBvibtMPtQdAbhLChYxz+0/rXhS938jw1t5v50xTBdOuzE0DcIAADAok63DwUC8/V+a+vzW83BjJVcAAAAGlBQ2FTVIWuFgtUczEZmpahnUtdWMz2TurKSCwAAsD0KCruyOpCNAW8hw0hpAADQGVBQ2FRbd8/9zcGsqLRSVQePtJrZd/CIikorw9QiAACAyKCgsKneFsfuW83BrKK2Lqg5AACAaEVBYVPpydYKBas5mDEpGwAAoAEFhU2NzEqRy9n6xazLmcCk4QAN69szqDkAAIBoRUFhU7ExDuXnueVQ08nBjcfy89xsshSgF9fsDGoOAAAgWlFQ2FhutktzJg9X+nE9FenOBM2ZPFy52a4ItSz6ffb1gaDmAAAAolWXSDcAoZWb7dI4d7qKSitVUVuntB4Nw5zomWifihqLk7It5gAAAKIVBQUQgLTk+KDm0LL6o149X7hDOysPql9Kkq7JyVRcFzpXAQDRy+M1bHWzl4LC5gqKyzRrUYnKqr+5U+5yJig/z82Qp3bo37t7UHNo3uzFJZr3fqm8x2zA+LvFmzT1/CzNnOiOXMMAAAiQHa/NuM1nYwXFZZq2YL3pDStJ5dV1mrZgvQqKyyLUsuh3TU6m2rqREONoyCEwsxeX6KkV5mJCkryG9NSKUs1eXBKZhgEAECC7XptRUNiUx2to1qISGc0813hs1qISeY6/WoMlcV1iNPX8rFYzU8/PYmhOgOqPejXv/dJWM/PeL1X9UW+YWgQAQPvY+dqMqx2bKiqtbFL9HsuQVFZdp6LSyvA1ymbOPLlXu55Hy54v3NGkZ+J4XqMhBwBANLDztRkFhU1V1FpchchiDmaNdxla4lD03mXoCHZWHgxqDgCASLPztRkFhU2l9Wh9l2x/czCz812GjqBfSlJQcwAARJqdr80oKGxqZFaKXM6EJrtkN3KoYUWBkVkp4WyWbdj5LkNHwKR32IHHa6hw+179a8OXKty+lx5LoJOz87UZy8baVGyMQ/l5bk1bsF4OyTQBqPGNnJ/njuo1jyPJzncZOoK4LjG6cHCalpRUtJi5cHAak97RYdlxWUgA7WPnazP+GttYbrZLcyYPV7rTfFGb7kzQnMnD+aPWDo13GVoTrXcZOgKP11DxlzWtZoq/rOGOLzokuy4LCaD97Hpt1q4eivr6epWWlmrAgAHq0oXOjo4oN9ulce50W+3G2BHExjiUfWJyq/Mosk9M5jwHqK05KtI3c1RyBqSGqVVA29paFrJxwYZx7nQ+H4BOyo7XZgFVAQcPHtRNN92kZ599VpL06aefqn///rrpppt04okn6u677w5qI9E+sTEOLrqCrP6oV0s3tTwcR5KWbqpQ/VEvw3ICwBwVRCt/FmzgcxnovOx2bRbQlc7MmTP10UcfadmyZUpI+KbLZuzYsVq4cGHQGgd0VOyTEFrMUUG0ohgG0BkF1EPx+uuva+HChRo9erQcjm+6Z04//XRt3749aI0DOqodew8ENQezYX17BjUHhAvFMIDOKKAeiq+++kppaWlNjh84cMBUYABAIF5cszOoOSBc7LwsJAC0JKCC4uyzz9Zbb73le9xYRPztb39TTk5OcFqGoKk/6tXT73+me/9VrKff/0z1R72RblLUG9a3V1BzMGOnbESrxmUhJTUpKqJ9WUgAaElAQ54eeOABXXTRRSopKdHRo0f1pz/9SSUlJVq1apWWL18e7DaiHWYvLtG890tN4/1/t3iTpp6fpZkT3ZFrWJTL6JkY1BzM2Ckb0axxWcjj96FIZx8KADYVUEFx3nnnacOGDfr973+vIUOG6D//+Y+GDx+uwsJCDRkyJNhtRIBmLy7RUytKmxz3GvIdp6gITOOwhtZWc2FYQ+CuycnU7xZvanXiOztloyOz47KQANASh2EY7AwVJjU1NXI6naqurlZycnJIf1b9Ua8G3fPvNi/INt9/EcuaBqhx86rmTrFDiuoNajqClgriRj8bQy8bAACBCPY1aUBXkosXL9bbb7/d5Pjbb7+tf//73+1uFNqPZU1Dz7fbZbJ5tRZXlO922VHMnOjWOHfTxR8kaZw7jWICAIAOIqCC4u6775bH42ly3DAMNrXrIEotLldqNYeWGYZ5krvXy6T3YCgoLtM7JU03D3RIeqekQgXFZeFvFAAAaCKggmLr1q1yu5veHRw0aJC2bdvW7kah/ayO0mU0b+AKist044L12lNbbzq+p7ZeNy5YzwVvO3i8hmYtKml2OFnjsVmLSuRpqxsOAACEXEAFhdPp1Geffdbk+LZt29StW7d2Nwrtd6bF5Uqt5mDm8Rq6+9WNrWbufnUjF7wBKiqtbHXCuyGprLpORaWV4WsUAABoVkAFxaWXXqpbbrnFtCv2tm3bdPvtt+uSSy4JWuMQOJfF5Uqt5mC2evteVR080mqm6uARrd6+N0wtspeK2paLiUByAAAgdAIqKB566CF169ZNgwYNUlZWlrKysjR48GClpqbqkUceCXYbEYDGZU1bw7Kmgfvv1q+CmoNZz8SuQc0BAIDQCWgfCqfTqVWrVmnJkiX66KOPlJiYqDPOOENjxowJdvsQoNgYhy4Z6mp12c1LhrpYEz1AG3dXBzUHs/+UlFvOXTCw+ZWgAABAeARUUEiSw+HQ+PHjNX78+GC2B0Hi8Rp646PWJwW/8VGZfpE7mKIiAIldrf3qWM3BbFfloaDmAABA6Fi+2nn88cd1ww03KCEhQY8//nir2f/3//5fuxuG9mlrUqv0zaTWnAGpYWqVfYzM6qUlm/ZYysF/J6dYm9tjNQcAAELHckHx2GOP6eqrr1ZCQoIee+yxFnMOh4OCogNgUmtoTTknSw8s3tzssqaNHP/LwX/j3el6Yc3nlnIAACCyLBcUpaWlzf43Oqa0Hq1PyPY3B7O4LjG6YUxWq3NUbhiTpbguAa170OlVHWp9BS1/cwAAIHT8vto5cuSIBgwYoE2bNoWiPQiSxlWeWpod4RCrPLXXzIlu/WxMVpNz7JD0szFZmjmx6eaPsIaCGACA6OH3jNGuXbuqro5hMh1dbIxD+Xlu3bhgfbPPG5Ly89xMyG6nmRPdun38ID1fuEM7Kw+qX0qSrsnJpGeinRoL4vLqumaHlTkkpVMQAwDQIQR01TN9+nQ9+OCDOnr0aLDbgyD6cNe+dj0PREpjQSyp2R4giYIYAICOwmEYRmvzSpv1ve99T0uXLlX37t01ZMgQdevWzfT8q6++GrQG2klNTY2cTqeqq6uVnJwc0p9Vf9Srgff8W63933U4pC33X8Td9HaYvbhE894vlfeY8xzjkKaez5CnYCgoLtOsRSWmFctczgTl57mVm+2KYMsAAIhewb4mDWiR/J49e+qyyy5r9w9H6Dy7akerxYQkGUZDbuqY/uFplM3MXlzS7KRsryHfcYqK9snNdmmcO11FpZWqqK1TWo+GYU70TAAA0HH4VVB4vV49/PDD+vTTT1VfX6/vfOc7uu+++5SYyFrwHc2az762nKOg8F/9Ua/mvd/6amfz3i/V7eMH0QPUTrExDvZKAQCgA/PrSud3v/udfvnLX6p79+468cQT9fjjj2v69OmhahvaobzmcFBzMHu+cIdpmFNzvEZDDu3j8Roq3L5X/9rwpQq375WnrRMPAADCyq8eiueee05PPvmkfvazn0mS3nnnHV188cX629/+ppgY7sJ2JOnOBBXvrrGUg/92Vh4Mag7NKygu031vlKi85ps5FOnJCbrvEuZQAADQUfhVBezatUsTJ070PR47dqwcDod2794d9IahfUZlWRsiYjUHs34pSUHNoamC4jLduGC9qZiQpPKaOt24YL0Kissi1DIAAHAsvwqKo0ePKiHBfEe7a9euOnKE3Wo7minnZMrRxrxVh6MhB/9dk5OptuYFxzgacvCfx2vo7lc3tpqZ+epGhj+hQ2O4HoDOwq8hT4Zh6LrrrlN8fLzvWF1dnW688UbT0rEsGxt5cV1idMP5Wc2uQtTohvOzmDAcoLguMbpwcJqWlFS0mLlwcBrnN0CrP9urqoOt36jYd/CIVn+2V+ee0jtMrQKsY8ljAJ2JXwXFlClTmhybPHly0BqD4GpcspR9EoLP4zVU/GXrc1SKv6yRx2uwxGkAVm6ztkrZym1fU1CgwykoLtO0Beub7PJeXl2naQvWa87k4RQVAGzFr4LimWeeCVU7ECIzJ7p1+/hBer5wh3ZWHlS/lCRdk5PJnfN2KiqtNN15bE5ZdZ2KSitZ8jQAu6sOBTUHhIvHa2jWopImxYQkGWrY6X3WohKNc6dzswGAbXBVCQSgorb1YsLfHMxO7GltbxurOSBc2rrZYOibmw0AYBcB7ZSN6DF7cUmTIU+/W7yJIU/tlNbD2nK7VnMwG90/VU8s224pB3Qk3GwA0BnRQ2FjsxeX6KkVpU02YPMa0lMrSjV7cUlkGmYDI7NS1DOpa6uZXkldNTIrJUwtspcYi0NBrOaAcOFmA4DOiILCpuqPejXv/ZZXeJIaJmvXH/WGqUWdDwtEBu7LfdY2BLSaA8JlZFaKXM4EtVTqOtSw2hM3GwDYCQWFTT1fuKNJz8TxvEZDDv4rKq1sc1nTqoNHGCcdoIVrPw9qDgiX2BiH8vMahpMeX1Q0Ps7PczMhG4CtUFDY1M5Ka3dureZgxjjp0Np/+GhQc0A45Wa7NGfycKU7zcOa0p0JLBkLwJaYlG1T/VKSgpqDGeOkQ+vklCRt2bPfUg7oiHKzXfrOoD4s2Q2gU+CTzaauyclUWz3qMY6GHPzXOE66NYyTDtxjl58Z1BwQbgXFZbrg4fd0/1ub9FzhTt3/1iZd8PB7Kigui3TTACDoKChsKq5LjKaen9VqZur5WdwtC1BsjEOXDG192MIlQ12Mkw5Q94Qu6pfa+h4T/VIT1T2BTlZ0PI07ZR+/H0XjTtkUFQDshqtJG5s50a2fjclq0lMR45B+NoZ9KNrD4zX0xketXxS88VGZPG3NjEezPF5D9UdbP3f1Rw3OLzqctnbKlhp2yua9C8BOuL1nczMnunXL2IF6YHGJduw9qMzUJP1yoluJcbGRblpUa2s3XOmb3XBzBrD5mr84v4hW/uyUzXsXgF1QUNhcQXGZZi0q8f2Be3+r9M6mCuXnuVlppB1Y5Sm0OL+IVrx3AXRGDHmyMcbxhg6rPIUW5xfRivcugM6IgsKmGMcbWm5XclBzMBtyojOoOSBc2CkbQGdEQWFT/ozjhf/ueGVDUHMwe7BgU1BzQLiwUzaAzoiCwqYYxxtau/YdCmoOZjv2WtvB3WoOCCd2ygbQ2TAp26Z6d4sPag5mJ/dK1JbyWks5+C8zNUnvb7WWAzqi3GyXxrnTVVRaqYraOqX1aBjmRM8EADuih8KurP7N4m9bQNjJObR+aXGPFKs5IBJiYxzKGZCqS4edqJwBqRQTAGyLgsKmyqusDbWxmoOZ1R3G2Yk8MIlxsRrnTms1M86dxn4qAAB0AFzt2NSGL6qCmoPZ84U7gppDU5cNP6ldzwMAgPCgoLApw+JqsFZzMGPScGg1LnvcGpY9BgCgY6CgsCmHxaG6VnM4ntULWS54A9HWsscSyx4DANBRUFDY1LCTegY1B7MzLG6oZjUHs/Jqi3OALOYAAEDoUFDYVEYva8tpWs3BrKbuaFBzMKs8UB/UHAAACB0KCpsa1rdnUHMwS+lubf8OqzmYORO7BjUHAABCh4LCphas3hHUHMzSkxPaDvmRg9lHFlcfs5oDAAChQ0FhU1YnqzKpNTBn9eultvaoinE05OA/prwDABA9KChs6tART1BzMFu3c5/aWrHUazTk4L+s1G5BzQEAgNChoLCpISf2DGoOZhW1rS9p6m8OZtfkZFrqAbomJzMs7QEAAC2joLCp807pHdQczNJ6WJsbYTUHs7guMZp6flarmannZymuCx9hAABEGn+NbWr0gFT1TGp9BZyeSV01ekBqmFpkLyOzUpQUF9tqpltcrEZmpYSpRfYzc6JbPxuT1aSnIsYh/WxMlmZOdEemYQAAwISCwqZiYxwakdn6hOARmb0U29a4EjTL4zXanH9y8IhHnrYmWqBVZ57cSyd0jzMdO6F7nM48mcnuAAB0FBQUNlV/1Kt3SipazbxTUqH6o94wtcheni/cIaONWsEwGnIITEFxmaYtWK89tebN6/bU1mvagvUqKC6LUMsAAMCxKChs6tlVpW0uqWn8Lwf/7aw8GNQczDxeQ7MWlbT4HjYkzVpUQg8QAAAdAAWFTa3dYW25Uqs5mPVLSQpqDmZFpZUqq259hayy6jr2UQEAoAOgoLCpOIe1oUxWczC7alS/oOZgVl59KKg5AAAQOhQUNrWlwtpQG6s5mG34vCqoOZhVHqhvO+RHDgAAhA4FhU3VHj4a1BzM2NgutHolxbUd8iMHAABCh4LCppITugQ1BzM2tgutfQet9TxYzQEAgNChoLCpn5zX+i7D/uZgNjIrRS5nglraxcMhyeVMYGO7ACUntr4po785AAAQOhQUNtU3pVtQczCLjXEoP69hp+bji4rGx/l5bjYODNDHX1QFNQcAAEKHgsKmvB5r6/NbzaGp3GyX5kwernSneVhTujNBcyYPV262K0ItAwAACB8G0NvUmh17LefOH3hCiFtjX7nZLo1zp6uotFIVtXVK69EwzImeifbJTLXWc2Y1BwAAQieiPRQrVqxQXl6eMjIy5HA49Prrr5ueNwxD9957r1wulxITEzV27Fht3brVlKmsrNTVV1+t5ORk9ezZU9dff732799vynz88cc6//zzlZCQoL59++qhhx5q0pZXXnlFgwYNUkJCgoYMGaLFixf73ZaOxeoFLRe+7bW/7qgeeXuzfv/vzXrk7c3aX8fKWe11TU6mHG28NR2OhhzQUXm8hgq379W/Nnypwu172dkdgG1FtKA4cOCAhg4dqieeeKLZ5x966CE9/vjjmjt3rtasWaNu3bppwoQJqqv7ZinOq6++Wp988omWLFmiN998UytWrNANN9zge76mpkbjx49Xv379tG7dOj388MO677779Ne//tWXWbVqla688kpdf/31+vDDDzVp0iRNmjRJxcXFfrWlI8kZkBrUHJp3wcPvauhv/qN1u6pUVl2ndbuqNPQ3/9EFD78b6aZFtdgYhxK7xraaSewaS08QOqyC4jKd+/t3deW81br5Hxt05bzVOvf376qguCzSTQOAoHMYhtEhbpk4HA699tprmjRpkqSGHoGMjAzdfvvtuuOOOyRJ1dXV6tOnj+bPn68rrrhCmzZtktvt1tq1a3X22WdLkgoKCjRx4kR98cUXysjI0Jw5c/SrX/1K5eXliotrWLP+7rvv1uuvv67NmzdLki6//HIdOHBAb775pq89o0eP1rBhwzR37lxLbbGipqZGTqdT1dXVSk5ODsp5a4nHa+is3y5R1cEjLWZ6JXXVB78ex0VZgC54+F3t3NvyTs39UhO1/M7vhLFF9lG4fa+unLe6zdxLU0dTFKPDKSgu040L1rf4/FzmWAGIsGBfk3bYSdmlpaUqLy/X2LFjfcecTqdGjRqlwsJCSVJhYaF69uzpKyYkaezYsYqJidGaNWt8mTFjxviKCUmaMGGCtmzZon379vkyx/6cxkzjz7HSlo4mNsah339/SKuZ2d8fQjERoOqDR1otJiRp595Dqm6loEPLtlZUBzUHhIvHa+juVze2mpn56kaGPwGwlQ5bUJSXl0uS+vTpYzrep08f33Pl5eVKS0szPd+lSxelpKSYMs29xrE/o6XMsc+31ZbmHD58WDU1NaavcMrNdmnu5OFKTzavQuRyJnCHrJ1+Mr8oqDmYPfL2p0HNAeGy+rO9rfYMS9K+g0e0+jNrC2cAQDRglacQmj17tmbNmhXRNrAKUWjsrrI2d8ZqDmaH6j1BzQHhsnLb15Zz557SO8StAYDw6LA9FOnp6ZKkPXv2mI7v2bPH91x6eroqKipMzx89elSVlZWmTHOvcezPaClz7PNttaU5M2fOVHV1te/r888/b+NfHRqxMQ7lDEjVpcNOVM6AVIqJIOiR0PqEYX9zMEuMs3berOaAcNld1fpQSH9zABANOmxBkZWVpfT0dC1dutR3rKamRmvWrFFOTo4kKScnR1VVVVq3bp0v8+6778rr9WrUqFG+zIoVK3TkyDdd0EuWLNHAgQPVq1cvX+bYn9OYafw5VtrSnPj4eCUnJ5u+YA9Tzs0Mag5mt40bGNQcEC4n9kwMag4AokFEC4r9+/drw4YN2rBhg6SGyc8bNmzQrl275HA4dMstt+i3v/2t3njjDW3cuFHXXnutMjIyfCtBDR48WLm5uZo6daqKioq0cuVKzZgxQ1dccYUyMjIkSVdddZXi4uJ0/fXX65NPPtHChQv1pz/9SbfddpuvHTfffLMKCgr06KOPavPmzbrvvvv0wQcfaMaMGZJkqS3oXOrqvUHNwczqhFUmtqKjOcfiMCarOQCIBhGdQ/HBBx/o29/+tu9x40X+lClTNH/+fP3iF7/QgQMHdMMNN6iqqkrnnXeeCgoKlJDwzSTjF154QTNmzNCFF16omJgYXXbZZXr88cd9zzudTv3nP//R9OnTddZZZ6l379669957TXtVnHPOOXrxxRf161//Wr/85S916qmn6vXXX1d2drYvY6Ut6DxSusW1HfIjBzPOL6LV6P6p6pnUtc0lu0f3Z7ljAPbRYfah6AzCuQ8FQot9EkKL84toxj4UADq6TrMPBdCRndWvl9qa2x7jaMjBfyOzUuRytt7753I2rFgGdDQs2Q2gs2HZ2E7A4zVYNjbI1u3cp7aG73uNhhx30P0XG+PQUU/r80+Oery8j9FhsWQ3gM6EgsLmCorLlP+vT7Sn9rDvWJ8e8Zp16encJWuHilpr+0tYzcGs+uARfbW/vtXMV/vrVX3wiJxJXcPUKsA/jUt2A4DdMeTJxhrH8R5bTEjSntrDunHBehUUl0WoZdEvrYe1yfhWczBjJ3IAAKIHBYVNebyGbnv5o1Yzt7/8EctuBmhkVop6tnFnvFdSV8b4B2h3tcWdyC3mAABA6FBQ2NSqbV/rYL2n1cyBeo9Wbfs6TC3qfCjVAudKjg9qDgAAhA4FhU393/ovgpqDWVFpZavrzEtS1cEjKiqtDFOL7OXbp6UFNQcAAEKHgsKmDtYfDWoOZrv3HQxqDmYf764Kag4AAIQOBYVNjci0trKI1RzMNnxRFdQczA7Wt75krL85AAAQOhQUNjXlnEw52lju3OFoyMF/VveXZx/6wGRnWNu102oOAACEDgWFTcV1idEN52e1mrnh/CzFdeEtEIi2ijV/czA70MaCAv7mAABA6LCxnY3NnOiWJM17v9S0q3OMQ5p6fpbvefjvjBOdQc3hOFYLMQo2AAAijoLC5mZOdOv28YP0fOEO7aw8qH4pSbomJ5OeiXaqqbM2md1qDmZZqd2CmgMAAKFDQdEJxHWJ0fXn9490M2wlObH1Te38zcHse2eepPvf2mQpBwAAIovb1EAAPvp8X1BzMPvF/7W+y7u/OQAAEDr0UAAB2FN7OKg5mG0uqwlqDogEj9dQUWmlKmrrlNYjQSOzUhQbw8QfAPZDQQEEoFuctV8dqzmY7T9sbe6J1RwQbgXFZZq1qERl1XW+Yy5ngvLz3MrNdkWwZQAQfAx56gQO1Xt0z+sbdc3Ta3TP6xt1iKU22+2y4dbG7lvNwcyZEBvUHFrm8Roq3L5X/9rwpQq375XHy+Yp7VVQXKZpC9abiglJKq+u07QF61VQXBahlgFAaHD71OamPrdWS0oqfI/f3yo9v3qXxrnTNO/aERFsWXQ755TeSoqL1cFWirNucbE655TeYWyVfWT07Kad+9oeLpbRk1We2oO76MHn8RqatahEzZVlhhpWOp61qETj3OkMfwJgG/RQ2NjxxcSxlpRUaOpza8PcIvuIjXHoDz8a2mrm0R8N5YIhQJm9rRUKVnNoirvooVFUWtnknB7LkFRWXaei0srwNQoAQoyCwqYO1XtaLCYaLSmpYPhTO+RmuzR38nD16RFvOp6eHK+5k4dzh7cdHBY/mazmYNbWXXSp4S46w5/8V1HbcjERSA4AogF/jm3qgcUlQc2hebnZLi29/VsaNzhNA9N7aNzgNL1z27coJtop1mGtZ8dqDmbcRQ+dtB4JQc0BQDRgDoVNffbV/qDm0Lzjh5VtKa9V9n1vM0elnYac6AxqDmbcRQ8d3rsAOiN6KGyq7og3qDk0xRyV0Nn4ZXVQczDjLnroPFjQ9g7v/uQAIBpQUNjUqX16BDUHM+aohJbV88b5DczIrBS5nAlqacCYQw2rPY3MSglns2xhx96DQc0BQDSgoLCpvfut7dBsNQcz5qiE1n9KyoOag1lsjEP5eW5JalJUND7Oz3OzSlkAMlOTgpoDgGhAQWFTvXvEBTUHs8++OhDUHMwOHbbYQ2Exh6Zys12aM3m40p3mYU3pzgTNYZWygP1yojuoOQCIBkzKtqkuMdZqRas5mNUdsXYhazUHs4S4WB2xUCwkxLFTdnvkZrs0zp2uotJKVdTWKa1HwzAneiYClxgXq3HutFaHRI5zpymR9y4AG+Fq0qZYaSS0Tu3TPag5mF067MSg5tCy2BiHcgak6tJhJypnQCrFRBDMu3aETujefO/vCd3jWAEOgO1QUNgUq+SEVtdYa786VnMw++TLqqDmgHCa+txafbW/vtnnvtpfzwpwAGyHqx2bsrq/LfvgBuaMk3oGNQezli7GAs0B4cIKcAA6IwoKm8pK7RbUHMyqDh4Jag5m9AAhWrECHIDOiL/GNnVNTqbaGgod42jIwX/7Dli7M241B7Nxp/cJag4IF/ahANAZUVDYVFyXGE09P6vVzNTzsxTXhbdAIHZXHwpqDmYXnJoW1BwQLuxDAaAz4mrSxgo/29uu59Eyw+sNag5mowektriLcyPH/3JAR8I+FAA6IwoKm9pfd1Qff1HTaubjL2q0v+5omFpkL/UWCwWrOZjtrzva5oIBxv9yQEfSuA9Fa9iHAoDdUFDY1C0L1wc1B7MPd1pbbtdqDmY/fmZNUHNAOM27dkSLRcU4dxr7UACwHXbKtqkt5fuDmoPZYY+1ngerOZiV7j0Q1BwQbvOuHaFD9R49sLhEO/YeVGZqkn450U3PBABboqCwKWdiV32+r+0Jwc7ErmFojf0kdY3RPos5BMLqbs3s6oyOKzEuVvdPGhLpZgBAyHG1Y1M3f/uUoOZgZnUyMJOGAzPY1SOoOQAAEDr0UNjUDgu9E/7kYLbja4trzVvMwezT8tqg5oBI8HgNFZVWqqK2Tmk9EjQyK0WxbW0QBABRiILCpj7fZ+1C1moOZl27WLsosJqD2eEjnqDmgHArKC7TrEUlKquu8x1zOROUn+dWbrYrgi0DgOBjyJNN9UuxtmmS1RzM6o+2taipfzmYeSyeNqs5IJwKiss0bcF6UzEhSeXVdZq2YL0Kissi1DIACA0KCpu6fMTJQc3BLDnO2q+O1RzM0pPjg5oDwsXjNTRrUUmz+6g0Hpu1qEQeL9UwAPvgasemFq7dFdQczDZVWFtu12oOZr26WSsUrOaAcCkqrWzSM3EsQ1JZdZ2KSivD1ygACDEKCpvaWWltboTVHMw8FsfaWM3B7PIRfYOaA8KlorblYiKQHABEAwoKmzqxZ0JQczDrHm9t/w6rOZj1Sbb2vrSaA8Klt8VeM6s5AIgGFBQ25bC44ZfVHMyGnJgc1BzM3tq4O6g5IGzYkxFAJ0RBYVNfVFnbX8JqDmYnpXQLag5my7d8FdQcEC47vra2N4rVHABEAwoKm2LZ2NDqmWRtCxerOZgdqD8a1BwQLnOWfRbUHABEAwoKm7pqVL+g5mC2d399UHMwi4+NDWoOCJfaw9aKXKs5AIgGFBQ2teHzqqDmYLZq+9dBzcHMaHYV/8BzQLgcOeoNag4AogEFhU2xdGFo7a+zdnfRag5mVvsd6J9AR9Onh7WV3azmACAaUFDYVFoPa8tpWs0B4VRjsRCzmgPC5ZQ+zqDmACAaUFDY1MisFPVMav0OWM+krhqZlRKmFtnLgBO6BzUHM6uDQRg0go7mscvPDGoOAKIBBYWNtTVG94iHy7FAjR6QGtQczAyLUyOs5oBw6Z7QRWec1Pr+M2eclKzuCawAB8A+KChsavVne3Wg3tNq5sBhj1Z/tjdMLbKXyaMzg5qDWVwXa7t+Wc0B4fTGjPNbLCrOOClZb8w4P8wtAoDQ4haJTa3cZm11oZXbvta5p/QOcWvsx59VtHLopfAfXRSIcm/MOF/7647q1oUfate+Qzq5V6Ieu/xMeiYA2BKfbDb15b6DQc3BjFW0QqtrlxjJwrKaXbvQyYqOq3tCF82bMiLSzQCAkOOvsU05ZG0oiNUczFhFK7SsTu9hGhAAAJFHD4VNZfRMDGoOZkNOtLbko9UczJwJXbW//rClHIDOyeM1VFRaqYraOqX1SNDIrBTFxnCTDIgECgqb6tUtLqg5mD1YsMly7v5JQ0LcGvsZ2renvvxkj6UcgM6noLhMsxaVqKz6m2GlLmeC8vPcys12RbBlQOfEkCeb6t3dWqFgNQez0q+tzT2xmoPZoaOtr1Dmbw6AfRQUl2nagvWmYkKSyqvrNG3BehUUl0WoZUDnRQ+FTTHGP7QSu1qrxa3mYFZR0/ZwJ39yaNmheo8eWFyiHXsPKjM1Sb+c6FZiXGykmwU0y+M1NGtRiZpb382Q5JA0a1GJxrnTGf4EhBEFhU15LS6naTUHs/HuPlqyqcJSDgGweh3A9UK7TH1urZaUfPM+fn+r9PzqXRrnTtO8a1mdqL3qj3r1fOEO7aw8qH4pSbomJ1NxrEzWLkWllU16Jo5lSCqrrlNRaSVLdgNhREFhU4XbrW1YV7h9r84/7YQQt8Z+MnomBTUHsySLd8it5tDU8cXEsZaUVGjqc2spKtph9uISzXu/VN5j7tn8bvEmTT0/SzMnuiPXsCjHkt1Ax8StEpv66IuqoOZwHO6gh9Tm8tqg5mB2qN7TYjHRaElJhQ7VM0clELMXl+ipFeZiQpK8hvTUilLNXlwSmYbZAMN5gY6JgsKmGOMfWrurDgU1B7O6w9YuZK3mYPaAxQtaqzl8o/6oV/PeL201M+/9UtVb2LgRTY3MSpHLmdDivRqHGlZ7GpmVEs5mAZ0eV5M2le60tr+E1RzM/vNJeVBzMDticWqP1RzMduy1tvqY1Ry+8XzhjiY9E8fzGg05+C82xqH8vIYhY8cXFY2P8/PcTMgGwoyCwqbOOMnahmpWczCrOVQf1BzMGFEWWpmp1ub2WM3hGzsrrRVhVnNoKjfbpTmThyvdaR7WlO5M0JzJw9mHAogAJmXb1MYvqy3nfsS8S799WWVtwp/VHMxiHJLHQu8DNyED88uJbj2/epelHPzTL8VaEWY1h+blZrs0zp3OTtlAB0EPhU152+pz9zMHs4Su1lYXspqD2Yk9rJ03qzmYJcbFapw7rdXMOHca+1EE4JqczDYL3RhHQw7tExvjUM6AVF067ETlDEilmAAiiILCpmIsfrBazcHM6mnj9AYmNblbUHNoat61I1osKtiHInBxXWJ04eDWi7ULB6exHwUAW2HIk00N69vL0pCGYX17haE19jPs5J76tOKApRz8l9ErSR9+UWMph8DNu3YEO2UHmcdraNW21vcBWrV9rzxegzvq7eTxGgx5AjoICgqbOn6yWntzMIvvYu2Cy2oOZmUWl9u1mkPLEuNidf+kIZFuhm2s2va1DrSxf8eBwx6t2vY1m4q2Q0FxmWYtKjHtmu1yJig/z82kbCAC6HO1KeZQhJbVnh16gALzZZW1FXCs5oBweXX9F0HNoamC4jJNW7DeVExIUnl1naYtWK+C4rIItQzovCgobGpNaWVQczBL6x4f1BzM6o9a27DOag4Il7Z6J/zNwczjNTRrUYmauxVm/O9r1qISebhZBoQVBYVtWf0w5UM3EJv31AY1BzOr11pck6GjGZFprVfSag5mRaWVTXomjldWXacibpYBYUVBYVMj+qUENQezbV9ZKxSs5mDW1WGt0LWaA8LlypH9gpqDWXmNtb19rOYABAcFhU19WmHtQtZqDmbvf/p1UHMwqz5srVCwmkPLPF5Dhdv36l8bvlTh/1YfQuBeKmp7dT1/cjCr3H84qDkAwcEqTzb12ddtL2nqTw5mlQcs/lGzmIMZA/bCg5Vygm/tDmtDbdbuqNTUMf1D3Br7SekWF9QcgOCgh8KmPi232ENhMQezIxbv4lrNAeHGSjmhkWRxDw+rOZilOxODmgMQHBQUNtXV4t8qqzmYJXe1tnmS1RzMesRb+2iymoNZWyvlSKyUE6jLzjwpqDmYjcxKkauN/ZNczoZN7gCED3+Nberr/fVBzcEsJtZaJWY1B7MD9d6g5mDW1ko5hlgpJ1DnnNpbcV1a/9Ma1yVG55zaO0wtspfYGIfy89xq6VaNQ1J+npsds4Ewo6CwKYbkhFZsrLU/VlZzMLO6eBOLPAWmotbaCjhWczBrazhTN4Y7tUtutktzJg9v0lPhciZozuThzP8BIoBJ2TZ1xGPtzq3VHMy8Fk+b1RzMenXrqq8PHLGUg//SerQ+ZMTfHL5RVFqpqoOtv3f3HTyiotJK5QxIDVOr7Cc326Vx7nQVlVaqorZOaT0ahjnRMwFEBj0UNhVjWLt1azUHs1PSugc1B7MJg/sENQezxnHorQ0bYRx6YOj9AdAZ0UNhU1WHjgY1B7NT+/TQ6tJ9lnLw31uflFvO/e4HQ0PcGvtpHIc+bcF6OWRefrexyGAcemDo/QmPguIy3ffGJyqv+WZp7vTkeN13yekMeQIigB4Km4qxOHbfag5md+UODmoOZgcOWyt0rebQVOM49PTjxqGnMw69XViFKPQKist044L1pmJCksprDutGljwGIoIeCps6q28vvWdhl+az+vYKQ2vsZ81Waztgr9n6tS4ckh7i1tiP1ak9TAFqH8ahB19sjEOXDHXpqRWlLWYuGeriHAfI4zV096sbW83c/epGjXOnc46BMKKHwqauHZ0Z1BzM7i/YFNQcECmxMQ7lDEjVpcNOVM6AVC7C2snjNbTwgy9azSz84Av2+AjQ6u1725z0XnXwiFZv3xumFgGQKChsq6be2lAQqzmY1dS1vQKRPzmYOSxe01rNAeHCBW9oFX5mrXfYag4t83gNFW7fq39t+FKF2/dSBKNVDHmyKSYGhlZqUpwqLSxrmpoUF4bW2E9CrHTAQq2bwHL+6GD8ueA9l83tAmD1LgJ3G9qjoLhMsxaVmDbAdDkTlJ/nZn4VmkUPhU2d1a+X2hq5EONoyMF/55xqbUKl1RzMusVb+2iymgPChwveULK6dwd7fASuoLhM0xasNxUTklReXadpTHpHC/hrbFPrdu5TW72TXqMhB/9tLd8f1BzMauuDmwPChQve0BrdP1U9k1rf0LJXUleN7s/5DYTHa2jWohI1d/nQeGzWohKGP6EJCgqbYnOl0Nq592BQczCL72Lto8lqDggXLnhDKzbGod9/f0irmdnfH8LiAgEqKq1s0jNxLENSWXWdikorw9coRAX+GtsUcyhC6+ARa+uVWs3BLCnO2vQuqzkgXLjgDb3cbJfmTh6u9GTz3y+XM0Fz2UOlXbgZiUB16ILivvvuk8PhMH0NGjTI93xdXZ2mT5+u1NRUde/eXZdddpn27Nljeo1du3bp4osvVlJSktLS0nTnnXfq6FHzbM9ly5Zp+PDhio+P1ymnnKL58+c3acsTTzyhzMxMJSQkaNSoUSoqKgrJvzlY2FwptHp3a/0OpL85mJ1ygrVC12oOCCcueEMvN9ullXd/Ry9NHa0/XTFML00drf/e9R3ObTtxMxKB6vC3904//XS98847vsddunzT5FtvvVVvvfWWXnnlFTmdTs2YMUPf//73tXLlSkmSx+PRxRdfrPT0dK1atUplZWW69tpr1bVrVz3wwAOSpNLSUl188cW68cYb9cILL2jp0qX66U9/KpfLpQkTJkiSFi5cqNtuu01z587VqFGj9Mc//lETJkzQli1blJaWFsazYV1sjEMn9IhrtevyhB5x3CUL0NmZqdr6VdvDmc7OZFhDICoPWuvZsZpDyzxeg43tQoBNA0OvcQ8VBE/jzcjy6rpm51E4JKVzMxLN6PAFRZcuXZSe3nSn4erqaj399NN68cUX9Z3vfEeS9Mwzz2jw4MFavXq1Ro8erf/85z8qKSnRO++8oz59+mjYsGG6//77ddddd+m+++5TXFyc5s6dq6ysLD366KOSpMGDB+u///2vHnvsMV9B8Yc//EFTp07Vj3/8Y0nS3Llz9dZbb+nvf/+77r777jCdCf8cqvfo4y9qWs18/EWNDtV7lBjH2pv+GuTqFtQczE7obm25Xas5NI+lIUOLC15Em9gYh/Lz3Jq2YL0ckqmoaCyF8/PcFMZookMPeZKkrVu3KiMjQ/3799fVV1+tXbt2SZLWrVunI0eOaOzYsb7soEGDdPLJJ6uwsFCSVFhYqCFDhqhPnz6+zIQJE1RTU6NPPvnElzn2NRozja9RX1+vdevWmTIxMTEaO3asL9OSw4cPq6amxvQVLg8sLglqDmZPLS8Nag5mVYesbQhoNYemWBoSQHNys12aM3m40o8bNp3uTNAchuyhBR26h2LUqFGaP3++Bg4cqLKyMs2aNUvnn3++iouLVV5erri4OPXs2dP0PX369FF5ebkkqby83FRMND7f+FxrmZqaGh06dEj79u2Tx+NpNrN58+ZW2z979mzNmjXL7393MOywuLqQ1RzMrGxq508OZlUHrK0HazUHs7aWhnSoYWnIce507kQCnRBD9uCvDl1QXHTRRb7/PuOMMzRq1Cj169dPL7/8shITEyPYMmtmzpyp2267zfe4pqZGffv2DcvPPjnF2vmxmoNZXBeH6izs5BzXhQ/fQLA1WGj5szQkQ3aAzokhe/BHhx/ydKyePXvqtNNO07Zt25Senq76+npVVVWZMnv27PHNuUhPT2+y6lPj47YyycnJSkxMVO/evRUbG9tsprm5HceKj49XcnKy6StcLhzUetv8zcEsy2IhZjUHs901h4KagxlLQ4aHx2uocPte/WvDlyrcvpfNwADYVlQVFPv379f27dvlcrl01llnqWvXrlq6dKnv+S1btmjXrl3KycmRJOXk5Gjjxo2qqKjwZZYsWaLk5GS53W5f5tjXaMw0vkZcXJzOOussU8br9Wrp0qW+TEf0wQ5rm85YzcGsW4K15WCt5mB22ELvjz85mLE0ZOgVFJfpvAff1ZXzVuvmf2zQlfNW67wH32VuCgBb6tAFxR133KHly5drx44dWrVqlb73ve8pNjZWV155pZxOp66//nrddttteu+997Ru3Tr9+Mc/Vk5OjkaPHi1JGj9+vNxut6655hp99NFHevvtt/XrX/9a06dPV3x8vCTpxhtv1GeffaZf/OIX2rx5s5588km9/PLLuvXWW33tuO222zRv3jw9++yz2rRpk6ZNm6YDBw74Vn3qiD76oiqoOZglxVvceM1iDmZWN8Bmo+zANC4N2dKQMYfYp6Y9mPAOoLPp0H+Ov/jiC1155ZUaOHCgfvSjHyk1NVWrV6/WCSecIEl67LHH9N3vfleXXXaZxowZo/T0dL366qu+74+NjdWbb76p2NhY5eTkaPLkybr22mv1m9/8xpfJysrSW2+9pSVLlmjo0KF69NFH9be//c23ZKwkXX755XrkkUd07733atiwYdqwYYMKCgqaTNTuSBK6WhtdbjUHswEn9AhqDmbfOc3ahazVHMwal4ZsaQCOIZaGDFRbE96lhgnvDH8CYCcd+vbpP/7xj1afT0hI0BNPPKEnnniixUy/fv20ePHiVl/nW9/6lj788MNWMzNmzNCMGTNazXQsTGsNpa6x1mpxqzmYnZl5gt7e3PZwvDMzTwhDawDrmPAOoDPiaseuHBYLBas5mIyyOBTEag5mlbXWloO1moNZ4130ljQuG8tddP8x4R1AZ0RBYVM9LI7dt5qDWYzFQsxqDmZvl1gbY241BzN/7qLDP0x4B9AZUVDY1GCXtbH7VnMw4y5kaO2psXberOZgxvs3dM7q10ttTT2JcTTkAMAuKChsqne3+KDmYFa+z9r+B1ZzMKvzBDcHMz4fQmfdzn1qa6SY12jIAYBdUFDYVOVBi2PQLeZg9qbFZR+t5oCwYs2GkKH3B0BnREFhU1WHjgQ1B7PPLfY8WM0B4fT1/sNBzeEbzKEA0BlRUNiU1dVZWMUlMF1jrd26tZoDwomL3tBh00AAnREFhU1tq6gNag5mo/tbuxiwmgPCiYve0GncNFBqOmKs8TGbBgKwGwoKmzp42NpsVas5mP1o+MlBzQHhxEVvaOVmuzRn8nClO809POnOBM2ZPFy52a4ItQwAQoNNCGzqYP3RoOZg5jWsDRWzmgPCrfGid9aiEtOeFOnOBOXnubnobafcbJfGudNVVFqpito6pfVo6PGhSANgRxQUNrV73/6g5mD2t5WllnPfdvcJcWuAwHDRG1qxMQ7lDEiNdDMAIOQoKGxq30FvUHMw211tbfUmqzkgUrjoBQC0F3MobOqIxZE2VnMwS0+2tvqN1RzMrH4w8QEGAEDk8fcYCEBGT2s7CFvNwax/amJQcwAAIHQoKIAAfPx5TVBzMNt3yNoO7lZzAAAgdCgogADsPWDtQtZqDmYH6q3N7bGaAwAAoUNBAQQgtXtcUHMw81rcwd1qDgAAhA4FBRCAS4dmBDUHs6Su1pYttZoDAAChQ0FhU6ySE1pdu8QGNQezI4a1d6bVHAAACB3+GtvUCd2tbTFiNQezHXutbQhoNQezlG7W3pdWcwAAIHQoKGyqR0LXoOZg9mm5tULBag5m8RZ7dqzmAABA6FBQ2FSPBGuTga3mYJbQ1dqFrNUczNIsbghoNQcAAEKHgsKmvLK4So7FHMz6pljbUM1qDmZZqd2CmgMAAKFDQWFTX9Va2//Aag5me2oOBTUHs5MsFmJWcwAAIHQoKGzK47G24ZfVHMy+3FcX1BzMyqoPBzUHAABChyVSbKprF2u1otUczKwOFGNAWWD69koKag4t83gNFZVWqqK2Tmk9EjQyK0WxMezvAQCwjoLCpkZl9dIXH5ZZysF/J/VK0taKA5Zy8N+g9B5BzaF5BcVlmrWoRGXV3/SkuZwJys9zKzfbFcGWAQCiCbenbWrHXmtj963mYFZ/1NpQMas5mFUetDa3x2oOTRUUl2nagvWmYkKSyqvrNG3BehUUt31DAgAAiYLCtuIsDmWymoNZz0RrnXtWczBL62Fx2ViLOZh5vIZmLSppdkhe47FZi0rk8TJoDwDQNq4mbYo76KG1s/JgUHMwG5mVIpczQS2N5HeoYWjOyKyUcDbLNopKK5v0TBzLkFRWXaei0srwNQoAELUoKGzqNItjy63mcDyrk1aZ3BqI2BiH8vPckpqewcbH+XluJg8HqKLW2upjVnMAgM6NgsKmTjmhe1BzMBvW1xnUHJrKzXZpzuThSneahzWlOxM0Z/JwJg23A0PKAADBxABvm7omJ1O/W7xJrQ2BjnE05OC/uy9ya8Gazy3lELjcbJfGudNZ1jTIGoeUlVfXNTuPwqGGwo0hZQAAK+ihsKm4LjGaen5Wq5mp52cxKTtAH31eFdQcWhYb41DOgFRdOuxE5QxIpZgIAoaUAQCCiatJG5s50a2fjcnS8dcEMQ7pZ2OyNHMid88Dteqzr4OaA8KNIWUAgGBhyJPNzZzo1u3jB+n5wh3aWXlQ/VKSdE1OJj0T7bR7n7X9O6zmgEhgSBkAIBgoKDqBuC4xuv78/pFuhq1k9EwMag6IlMYhZQAABIrb1EAAzhnQO6g5AACAaEVBAQRg9IDUNoeNxXeJ0Wju/AIAAJujoAAC4PEaOuJpfZfxeo9XntbW7QUAALABCgogAM8X7pDRRq1gGA05AAAAO6OgAAKwY+/BoOYAAACiFQUFEACjre4JP3MAAADRioICCEBc1+DmAAAAohUFBRCAos+qgpoDAACIVhQUQACsDmRiwBMAALA7CgogAPFt7EHhbw4AACBacbUDBOCUtG5BzQEAAEQrCgogAJUHjgQ1BwAAEK0oKIBAWF0OlmVjAQCAzVFQAAHoFm9tPVirOQAAgGhFQQEEoFu8tV8dqzkAAIBoxdUOEACHwxHUHAAAQLSioAAAAAAQMAoKIADJCXFBzQEAAEQrCgogAFZHMjHiCQAA2B0FBRCAXknWeh6s5gAAAKIVBQUQgN494oOaAwAAiFYUFEAA0rpbKxSs5gAAAKIVBQUQCKtzI5hDAQAAbI6CAghARU1dUHMAAADRioICCMDX++uDmgMAAIhWFBRAACoPHA5qDgAAIFpRUAABKKu2NpTJag4AACBaUVAAATixZ2JQcwAAANGKggIIwDmn9A5qDgAAIFpRUAABGN0/VT2Turaa6ZXUVaP7p4apRQAAAJFBQQEEIDbGod9/f0irmdnfH6LYGDaiAAAA9kZBAQQoN9uluZOHKz05wXTc5UzQ3MnDlZvtilDLAAAAwqdLpBsARLPcbJfGudNVVFqpito6pfVI0MisFHomAABAp0FBAbRTbIxDOQOYKwEAADonhjwBAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACBgFBQAAAICAUVAAAAAACFiXSDegMzEMQ5JUU1MT4ZYAAACgs2q8Fm28Nm0vCoowqq2tlST17ds3wi0BAABAZ1dbWyun09nu13EYwSpN0Cav16vdu3erR48ecjgcYf3ZNTU16tu3rz7//HMlJyeH9Wd3Bpzf0OL8hhbnN3Q4t6HF+Q0tzm9oRfL8Goah2tpaZWRkKCam/TMg6KEIo5iYGJ100kkRbUNycjIfCiHE+Q0tzm9ocX5Dh3MbWpzf0OL8hlakzm8weiYaMSkbAAAAQMAoKAAAAAAEjIKik4iPj1d+fr7i4+Mj3RRb4vyGFuc3tDi/ocO5DS3Ob2hxfkPLTueXSdkAAAAAAkYPBQAAAICAUVAAAAAACBgFBQAAAICAUVBAknTddddp0qRJkW6G7c2fP189e/b0Pb7vvvs0bNgwv17D4XDo9ddfb/H5HTt2yOFwaMOGDQG1MRoFch7RPM5l6B3/OYDg4vyGFp8R4RUt12cUFFFmxYoVysvLU0ZGRrMXloZh6N5775XL5VJiYqLGjh2rrVu3+p6PlovN6667Tg6HQ7///e9Nx19//XW/dxnPzMzUH//4R8v52bNnKzY2Vg8//LBfP8eKyy+/XJ9++mnQXzdatPX+ffXVVzV+/Hilpqa2+D5tq6DCNzIzM+VwOJp8TZ8+XRLnsr08Ho/uueceZWVlKTExUQMGDND999+vY9c68ffzB2a1tbW65ZZb1K9fPyUmJuqcc87R2rVrfc9zfoPn97//vRwOh2655RbfMT4jrGvt79uRI0d01113aciQIerWrZsyMjJ07bXXavfu3b5MtFyftYSCIsocOHBAQ4cO1RNPPNHs8w899JAef/xxzZ07V2vWrFG3bt00YcIE1dXVhbml7ZeQkKAHH3xQ+/btC+vP/fvf/65f/OIX+vvf/x70105MTFRaWlrQXzdatPX+PXDggM477zw9+OCDYW6ZPa1du1ZlZWW+ryVLlkiSfvjDH0a4Zfbw4IMPas6cOfrLX/6iTZs26cEHH9RDDz2kP//5z5Fumm389Kc/1ZIlS/T8889r48aNGj9+vMaOHasvv/wy0k2zlbVr1+qpp57SGWecEemmRK3W/r4dPHhQ69ev1z333KP169fr1Vdf1ZYtW3TJJZdEoKUhYiBqSTJee+0132Ov12ukp6cbDz/8sO9YVVWVER8fb7z00ku+7zn264ILLjAMwzCmTJliXHrppcbDDz9spKenGykpKcbPf/5zo76+Ppz/JJ8pU6YY3/3ud41BgwYZd955p+/4a6+9Zhz/tv3nP/9puN1uIy4uzujXr5/xyCOP+J674IILmvybW7Ns2TLjxBNPNOrr642MjAxj5cqVhmEYhsfjMU488UTjySefNOXXr19vOBwOY8eOHYZhGMajjz5qZGdnG0lJScZJJ51kTJs2zaitrfXln3nmGcPpdPoe5+fnG0OHDvU9LioqMsaOHWukpqYaycnJxpgxY4x169aZfqYk48knnzRyc3ONhIQEIysry3jllVd8z5eWlhqSjA8//NB3bOPGjUZubq7RrVs3Iy0tzZg8ebLx1VdftXouQu349++xmvs3GIZh9OvXz/T/sl+/foZhfHMen3vuOaNfv35GcnKycfnllxs1NTWh/UdEmZtvvtkYMGCA4fV6OZdBcPHFFxs/+clPTMe+//3vG1dffbVhGC1//jR+DhQUFBiDBg0yunXrZkyYMMHYvXt32P8NHdnBgweN2NhY48033zQdHz58uPGrX/2K8xsktbW1xqmnnmosWbLEuOCCC4ybb77ZMAw+b9ujtb9vjYqKigxJxs6dO33fEw3XZy2hh8JGSktLVV5errFjx/qOOZ1OjRo1SoWFhZKkoqIiSdI777yjsrIyvfrqq77se++9p+3bt+u9997Ts88+q/nz52v+/Plh/TccKzY2Vg888ID+/Oc/64svvmg2s27dOv3oRz/SFVdcoY0bN+q+++7TPffc42v3q6++qpNOOkm/+c1vfHdpW/P000/ryiuvVNeuXXXllVfq6aefliTFxMToyiuv1IsvvmjKv/DCCzr33HPVr18/X+7xxx/XJ598omeffVbvvvuufvGLX1j+N9fW1mrKlCn673//q9WrV+vUU0/VxIkTVVtba8rdc889uuyyy/TRRx/p6quv1hVXXKFNmzY1+5pVVVX6zne+ozPPPFMffPCBCgoKtGfPHv3oRz+y3K6OonGowzPPPKOysjLT0Ift27fr9ddf15tvvqk333xTy5cvbzJkrjOrr6/XggUL9JOf/EQOh4NzGQTnnHOOli5d6hvG+NFHH+m///2vLrroIkmtf/4cPHhQjzzyiJ5//nmtWLFCu3bt0h133BGRf0dHdfToUXk8HiUkJJiOJyYm6r///S/nN0imT5+uiy++2HTtIPF5G2rV1dVyOBy++T7RdH3WrEhXNAicjquAV65caUhqchfmhz/8ofGjH/3IMIyW7/xOmTLF6Nevn3H06FHT911++eUha39rGitywzCM0aNH++4CHt9DcdVVVxnjxo0zfe+dd95puN1u3+N+/foZjz32WJs/s7q62khMTDQ2bNhgGIZhfPjhh0b37t19PQwffvih4XA4fHcTGnst5syZ0+JrvvLKK0ZqaqrvcVs9FMfzeDxGjx49jEWLFvmOSTJuvPFGU27UqFHGtGnTDMNo+v/4/vvvN8aPH2/Kf/7554YkY8uWLS3+7FA7/v17rJbepy19X35+vpGUlGS6Q3bnnXcao0aNCmKLo9vChQuN2NhY48svv/Qd41y2j8fjMe666y7D4XAYXbp0MRwOh/HAAw+YMs19/jzzzDOGJGPbtm2+Y0888YTRp0+fcDQ7quTk5BgXXHCB8eWXXxpHjx41nn/+eSMmJsY47bTTDMPg/LbXSy+9ZGRnZxuHDh0yDMMw9VAYBp8RgWrt75thGMahQ4eM4cOHG1dddZXvWLRcn7WEHgr4nH766YqNjfU9drlcqqioiGCLGjz44IN69tlnm70Dv2nTJp177rmmY+eee662bt0qj8fj18956aWXNGDAAA0dOlSSNGzYMPXr108LFy70PR48eLCvl2L58uWqqKgwjUd/5513dOGFF+rEE09Ujx49dM0112jv3r06ePCgpTbs2bNHU6dO1amnniqn06nk5GTt379fu3btMuVycnKaPG6ph+Kjjz7Se++9p+7du/u+Bg0aJKnhLpNdZGZmqkePHr7HHeX921E8/fTTuuiii5SRkdFmlnNpzcsvv6wXXnhBL774otavX69nn31WjzzyiJ599tk2vzcpKUkDBgzwPeYcN+/555+XYRg68cQTFR8fr8cff1xXXnmlYmJav3zh/Lbt888/180336wXXnihSS9QW/iMCNyRI0f0ox/9SIZhaM6cOZa+p6Nenx2LgsJG0tPTJTVclB5rz549vuda07VrV9Njh8Mhr9cbvAYGaMyYMZowYYJmzpwZ0p/z9NNP65NPPlGXLl18XyUlJabJ2VdffbWvoHjxxReVm5ur1NRUSQ0rNHz3u9/VGWecof/7v//TunXrfJOz6uvrLbVhypQp2rBhg/70pz9p1apV2rBhg1JTUy1/f3P279+vvLw8bdiwwfS1detWjRkzJuDX7Wg66vu3I9i5c6feeecd/fSnP7WU51xac+edd+ruu+/WFVdcoSFDhuiaa67RrbfeqtmzZ7f5vc2dY+OY1aHQYMCAAVq+fLn279+vzz//XEVFRTpy5Ij69+/f6vdxftu2bt06VVRUaPjw4b6/ecuXL9fjjz+uLl26tHpTjs+IwDQWEzt37tSSJUuUnJxs6fui4Xx3iXQDEDxZWVlKT0/X0qVLfWtE19TUaM2aNZo2bZokKS4uTpL8vnsfab///e81bNgwDRw40HR88ODBWrlypenYypUrddppp/mq+bi4uDb/vRs3btQHH3ygZcuWKSUlxXe8srJS3/rWt7R582YNGjRIV111lX79619r3bp1+uc//6m5c+f6suvWrZPX69Wjjz7qu3v28ssv+/XvXLlypZ588klNnDhRUsMdpK+//rpJbvXq1br22mtNj88888xmX3P48OH6v//7P2VmZqpLl+j/le/atWvUvX8j7ZlnnlFaWpouvvhi03HOZfscPHiwyZ3y2NhY0x96K58/aFu3bt3UrVs37du3T2+//bYeeughSZzf9rjwwgu1ceNG07Ef//jHGjRokO666y7FxsbyGRFEjcXE1q1b9d577/luRjaK1uuzRtF/ddHJ7N+/X9u2bfM9Li0t1YYNG5SSkqKTTz5Zt9xyi37729/q1FNPVVZWlu655x5lZGT4NkVJS0tTYmKiCgoKdNJJJykhIUFOpzNC/xrrhgwZoquvvlqPP/646fjtt9+uESNG6P7779fll1+uwsJC/eUvf9GTTz7py2RmZmrFihW64oorFB8fr969ezd5/aefflojR45s9o79iBEj9PTTT+vhhx9WZmamzjnnHF1//fXyeDymJd9OOeUUHTlyRH/+85+Vl5enlStXmgoOK0499VQ9//zzOvvss1VTU6M777xTiYmJTXKvvPKKzj77bJ133nl64YUXVFRU5JtAfrzp06dr3rx5uvLKK/WLX/xCKSkp2rZtm/7xj3/ob3/7m6kbNdTaev9WVlZq165dvrW5t2zZIqmh962xly0zM1NLly7Vueeeq/j4ePXq1Sts7Y9GXq9XzzzzjKZMmdKkoORctk9eXp5+97vf6eSTT9bpp5+uDz/8UH/4wx/0k5/8xJex8vmDlr399tsyDEMDBw7Utm3bdOedd2rQoEH68Y9/LInz2x49evRQdna26Vi3bt2UmprqO85nhHWt/X1zuVz6wQ9+oPXr1+vNN9+Ux+NReXm5JCklJUVxcXFRe33mE9EZHPDbe++912RpMUnGlClTDMNoWDr2nnvuMfr06WPEx8cbF154YZOJt/PmzTP69u1rxMTENFmW7Fg333yz7/lwa649paWlRlxcXIvLxnbt2tU4+eSTTcvmGoZhFBYWGmeccYYRHx/f7LKxhw8fNlJTU42HHnqo2bY8+OCDRlpamm+JtieffNKQZFx77bVNsn/4wx8Ml8tlJCYmGhMmTDCee+45Q5Kxb98+wzDanpS9fv164+yzzzYSEhKMU0891XjllVeaTDqUZDzxxBPGuHHjjPj4eCMzM9NYuHCh6TzpuIldn376qfG9733P6Nmzp5GYmGgMGjTIuOWWWwyv19vsvzlU2nr/Nk6mPP4rPz/f9xpvvPGGccoppxhdunRpsozhsR577DHf853Z22+/3eIEfM5l+9TU1Bg333yzcfLJJxsJCQlG//79jV/96lfG4cOHfZnmPn+O/xwwjOaXxEbDYgL9+/c34uLijPT0dGP69OlGVVWV73nOb3AdPymbzwjrWvv71vh3ubmv9957z/ca0XB91hKHYTCoEAAAAEBgmJQNAAAAIGAUFAAAAAACRkEBAAAAIGAUFAAAAAACRkEBAAAAIGAUFAAAAAACRkEBAAAAIGAUFAAAAAACRkEBAECIZGZm6o9//GOkmwEAIUVBAQCQJNXX10e6CUF35MiRiPxcO55LAGgJBQUA2NS3vvUtzZgxQzNmzJDT6VTv3r11zz33yDAMSQ13z++//35de+21Sk5O1g033CBJ+r//+z+dfvrpio+PV2Zmph599FHT6x4+fFh33XWX+vbtq/j4eJ1yyil6+umnfc8XFxfroosuUvfu3dWnTx9dc801+vrrr33P//Of/9SQIUOUmJio1NRUjR07VgcOHJAkLVu2TCNHjlS3bt3Us2dPnXvuudq5c6fve+fMmaMBAwYoLi5OAwcO1PPPP29qm8Ph0Jw5c3TJJZeoW7du+t3vftfmeXrjjTd06qmnKiEhQd/+9rf17LPPyuFwqKqqSpI0f/589ezZU2+//bYGDx6s7t27Kzc3V2VlZb7XuO666zRp0iT97ne/U0ZGhgYOHKhvfetb2rlzp2699VY5HA45HA7LrwcAUcUAANjSBRdcYHTv3t24+eabjc2bNxsLFiwwkpKSjL/+9a+GYRhGv379jOTkZOORRx4xtm3bZmzbts344IMPjJiYGOM3v/mNsWXLFuOZZ54xEhMTjWeeecb3uj/60Y+Mvn37Gq+++qqxfft245133jH+8Y9/GIZhGPv27TNOOOEEY+bMmcamTZuM9evXG+PGjTO+/e1vG4ZhGLt37za6dOli/OEPfzBKS0uNjz/+2HjiiSeM2tpa48iRI4bT6TTuuOMOY9u2bUZJSYkxf/58Y+fOnYZhGMarr75qdO3a1XjiiSeMLVu2GI8++qgRGxtrvPvuu762STLS0tKMv//978b27dt939uSzz77zOjatatxxx13GJs3bzZeeukl48QTTzQkGfv27TMMwzCeeeYZo2vXrsbYsWONtWvXGuvWrTMGDx5sXHXVVb7XmTJlitG9e3fjmmuuMYqLi43i4mJj7969xkknnWT85je/McrKyoyysjLLrwcA0YSCAgBs6oILLjAGDx5seL1e37G77rrLGDx4sGEYDQXFpEmTTN9z1VVXGePGjTMdu/POOw23220YhmFs2bLFkGQsWbKk2Z95//33G+PHjzcd+/zzzw1JxpYtW4x169YZkowdO3Y0+d69e/cakoxly5Y1+9rnnHOOMXXqVNOxH/7wh8bEiRN9jyUZt9xyS7Pf35y77rrLyM7ONh371a9+1aSgkGRs27bNl3niiSeMPn36+B5PmTLF6NOnj3H48GHTa/Xr18947LHHTMesvB4ARBOGPAGAjY0ePdo31EaScnJytHXrVnk8HknS2Wefbcpv2rRJ5557runYueee6/ueDRs2KDY2VhdccEGzP++jjz7Se++9p+7du/u+Bg0aJEnavn27hg4dqgsvvFBDhgzRD3/4Q82bN0/79u2TJKWkpOi6667ThAkTlJeXpz/96U+mYUAttW3Tpk2mY8f/m1qzZcsWjRgxwnRs5MiRTXJJSUkaMGCA77HL5VJFRYUpM2TIEMXFxVn6uVZeDwCiBQUFAHRi3bp18yufmJjY6vP79+9XXl6eNmzYYPraunWrxowZo9jYWC1ZskT//ve/5Xa79ec//1kDBw5UaWmpJOmZZ55RYWGhzjnnHC1cuFCnnXaaVq9eHdJ/kxVdu3Y1PXY4HL65KIH8XCuvBwDRgoICAGxszZo1pserV6/WqaeeqtjY2GbzgwcP1sqVK03HVq5cqdNOO02xsbEaMmSIvF6vli9f3uz3Dx8+XJ988okyMzN1yimnmL4aL7gdDofOPfdczZo1Sx9++KHi4uL02muv+V7jzDPP1MyZM7Vq1SplZ2frxRdfbLVtbrfbv5NyjIEDB+qDDz4wHVu7dm3Ar3e8uLg4X28QANgVBQUA2NiuXbt02223acuWLXrppZf05z//WTfffHOL+dtvv11Lly7V/fffr08//VTPPvus/vKXv+iOO+6Q1LAy1JQpU/STn/xEr7/+ukpLS7Vs2TK9/PLLkqTp06ersrJSV155pdauXavt27fr7bff1o9//GN5PB6tWbNGDzzwgD744APt2rVLr776qr766isNHjxYpaWlmjlzpgoLC7Vz50795z//0datWzV48GBJ0p133qn58+drzpw52rp1q/7whz/o1Vdf9bUtED/72c+0efNm3XXXXfr000/18ssva/78+ZJkGioWqMzMTK1YsUJffvmlaaUrALATCgoAsLFrr71Whw4d0siRIzV9+nTdfPPNvuVhmzN8+HC9/PLL+sc//qHs7Gzde++9+s1vfqPrrrvOl5kzZ45+8IMf6Oc//7kGDRqkqVOn+pZ9zcjI0MqVK+XxeDR+/HgNGTJEt9xyi3r27KmYmBglJydrxYoVmjhxok477TT9+te/1qOPPqqLLrpISUlJ2rx5sy677DKddtppuuGGGzR9+nT97Gc/kyRNmjRJf/rTn/TII4/o9NNP11NPPaVnnnlG3/rWtwI+P1lZWfrnP/+pV199VWeccYbmzJmjX/3qV5Kk+Pj4gF+30W9+8xvt2LFDAwYM0AknnNDu1wOAjshhMGgTAGzpW9/6loYNG8ZOzX763e9+p7lz5+rzzz+PdFMAICp0iXQDAACIpCeffFIjRoxQamqqVq5cqYcfflgzZsyIdLMAIGow5AkAYFs33nijaQnbY79uvPFGSdLWrVt16aWXyu126/7779ftt9+u++67L7INB4AowpAnAIBtVVRUqKamptnnkpOTlZaWFuYWAYD9UFAAAAAACBhDngAAAAAEjIICAAAAQMAoKAAAAAAEjIICAAAAQMAoKAAAAAAEjIICAAAAQMAoKAAAAAAEjIICAAAAQMAoKAAAAAAEjIICAAAAQMAoKAAAAAAEjIICAAAAQMC6RLoBnYnX69Xu3bvVo0cPORyOSDcHAAAAnZBhGKqtrVVGRoZiYtrfv0BBEUa7d+9W3759I90MAAAAQJ9//rlOOumkdr8OBUUY9ejRQ1LD/7zk5OQItwYAAACdUU1Njfr27eu7Nm0vCoowahzmlJycTEEBAACAiArWEHwmZQMAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBFtKCYPXu2RowYoR49eigtLU2TJk3Sli1bTJlvfetbcjgcpq8bb7zRlNm1a5cuvvhiJSUlKS0tTXfeeaeOHj1qyixbtkzDhw9XfHy8TjnlFM2fP79Je5544gllZmYqISFBo0aNUlFRken5uro6TZ8+Xampqerevbsuu+wy7dmzJzgnAwAAAIhCES0oli9frunTp2v16tVasmSJjhw5ovHjx+vAgQOm3NSpU1VWVub7euihh3zPeTweXXzxxaqvr9eqVav07LPPav78+br33nt9mdLSUl188cX69re/rQ0bNuiWW27RT3/6U7399tu+zMKFC3XbbbcpPz9f69ev19ChQzVhwgRVVFT4MrfeeqsWLVqkV155RcuXL9fu3bv1/e9/P4RnCAAAAOjYHIZhGJFuRKOvvvpKaWlpWr58ucaMGSOpoYdi2LBh+uMf/9js9/z73//Wd7/7Xe3evVt9+vSRJM2dO1d33XWXvvrqK8XFxemuu+7SW2+9peLiYt/3XXHFFaqqqlJBQYEkadSoURoxYoT+8pe/SJK8Xq/69u2rm266SXfffbeqq6t1wgkn6MUXX9QPfvADSdLmzZs1ePBgFRYWavTo0W3++2pqauR0OlVdXc3GdgAAAIiIYF+Tdqg5FNXV1ZKklJQU0/EXXnhBvXv3VnZ2tmbOnKmDBw/6nissLNSQIUN8xYQkTZgwQTU1Nfrkk098mbFjx5pec8KECSosLJQk1dfXa926daZMTEyMxo4d68usW7dOR44cMWUGDRqkk08+2ZcBAAAAOpsukW5AI6/Xq1tuuUXnnnuusrOzfcevuuoq9evXTxkZGfr444911113acuWLXr11VclSeXl5aZiQpLvcXl5eauZmpoaHTp0SPv27ZPH42k2s3nzZt9rxMXFqWfPnk0yjT/neIcPH9bhw4d9j2tqaqyeDgAAACAqdJiCYvr06SouLtZ///tf0/EbbrjB999DhgyRy+XShRdeqO3bt2vAgAHhbqZfZs+erVmzZkW6GQAAAEDIdIghTzNmzNCbb76p9957TyeddFKr2VGjRkmStm3bJklKT09vstJS4+P09PRWM8nJyUpMTFTv3r0VGxvbbObY16ivr1dVVVWLmePNnDlT1dXVvq/PP/+81X8bAAAAEG0iWlAYhqEZM2botdde07vvvqusrKw2v2fDhg2SJJfLJUnKycnRxo0bTasxLVmyRMnJyXK73b7M0qVLTa+zZMkS5eTkSJLi4uJ01llnmTJer1dLly71Zc466yx17drVlNmyZYt27drlyxwvPj5eycnJpi8AAADATiI65Gn69Ol68cUX9a9//Us9evTwzUVwOp1KTEzU9u3b9eKLL2rixIlKTU3Vxx9/rFtvvVVjxozRGWecIUkaP3683G63rrnmGj300EMqLy/Xr3/9a02fPl3x8fGSpBtvvFF/+ctf9Itf/EI/+clP9O677+rll1/WW2+95WvLbbfdpilTpujss8/WyJEj9cc//lEHDhzQj3/8Y1+brr/+et12221KSUlRcnKybrrpJuXk5Fha4QkAAACwJSOCJDX79cwzzxiGYRi7du0yxowZY6SkpBjx8fHGKaecYtx5551GdXW16XV27NhhXHTRRUZiYqLRu3dv4/bbbzeOHDliyrz33nvGsGHDjLi4OKN///6+n3GsP//5z8bJJ59sxMXFGSNHjjRWr15tev7QoUPGz3/+c6NXr15GUlKS8b3vfc8oKyuz/O+trq42JDVpPwAAABAuwb4m7VD7UNgd+1AAAAAg0oJ9TdphVnkCAADRyeM1VFRaqYraOqX1SNDIrBTFxjgi3SwAYUJBAQAAAlZQXKZZi0pUVl3nO+ZyJig/z63cbFcEWwYgXDrEsrEAACD6FBSXadqC9aZiQpLKqus0bcF6FRSXRahlAMKJggIAAPjN4zU0a1GJWpqIaUiatahEHi9TNQG7o6AAAAB+KyqtbNIzcbyy6joVlVaGqUUAIoWCAgAA+K28+lBQcwCiFwUFAADwW+WB+qDmAEQvCgoAAOC3lO7xQc0BiF4UFAAAwG/pyQlBzQGIXhQUAADAbyOzUuRytl4suJwNm9wBsDcKCgAA4LfYGIfy89xySDp+T+zGY/l5bnbMBjoBCgoAABCQ3GyX5kwerj7HDWtKdyZozuTh7JQNdBIUFAAAoJ3Mm9cZBpvZAZ0JBQUAAAhIQXGZpi1Yr/Kaw6bje2oOa9qC9SooLotQywCEEwUFAADwm8draNaiEjXXF9F4bNaiEnm89FYAdkdBAQAA/FZUWqmy6roWnzcklVXXqai0MnyNAhARFBQAAMBvFbUtFxOB5ABELwoKAADgt7Qe1jass5oDEL0oKAAAgN8aN7ZraZcJh9jYDugsKCgAAIDfGje2k5rf2E5iYzugs6CgAAAAAWnc2C7dycZ2QGfWJdINQOh5vIaKSitVUVuntB4N3c/cMQIABENutksXnJamBxaXaMfeg8pMTdIvJ7qVGBcb6aYBCBMKCpsrKC7TrEUlpqX9XM4E5ee5uXMEAGi32YtLNO/9UjVuN/H+VumFNbs09fwszZzojmzjAIQFQ55srHEH0+PXCS+vrmMHUwBAu81eXKKnVnxTTDTyGtJTK0o1e3FJZBoGIKwoKGyKHUwBAKFUf9Sree+XtpqZ936p6o96w9QiAJFCQWFT7GAKAAil5wt3NOmZOJ7XaMgBsDcKCptiB1MAQCiV7j0Q1ByA6EVBYVPsYAoACCWrawWypiBgfxQUNsUOpgCAUDqzb6+g5gBELwoKm2IHUwBAKLl6JgY1ByB6UVDYGDuYAgBCpbEnvDX0hAOdAxvb2Vxutkvj3OnslA0ACKrGnvBpC9ZLkmmZcnrCgc7FYRgGGxGESU1NjZxOp6qrq5WcnBzp5gAA0G4FxWW6740Sldd8s2qgy5mg/Dw3PeFABxXsa1KGPAEAgHYy35vkXiXQuVBQAACAgBQUl2nagvUqrzlsOr6n5rCmLVivguKyCLUMQDhRUAAAAL95vIZmLSpRc30RjcdmLSqRp63ttAFEPQoKAADgt6LSSpVV17X4vCGprLpORaWV4WsUgIigoAAAAH6rqG25mAgkByB6UVAAAAC/pfVofQ8Kf3MAohcFBQAA8FvjxnYt7TLhEBvbAZ0FBQUAAPBb48Z2rWFjO6BzoKAAAAAByc12achJzW+KNeSkZDa2AzoJCgoAABCQqc+t1cdf1DT73Mdf1Gjqc2vD3CIAkUBBAQAA/Hao3qMlJRWtZpaUVOhQvSdMLQIQKRQUAADAbw8sLglqDkD0oqAAAAB+27H3YFBzAKIXBQUAAPBbv5SkoOYARC8KCgAA4Ldxg/oENQcgelFQAAAAv1UdPhLUHIDoRUEBAAD8ltYjIag5ANGLggIAAPhtZFaKXM4EtbQPtkOSy5mgkVkp4WwWgAigoAAAAH6LjXEoP88tSU2KisbH+Xluxca0VHIAsAsKCgAAEJDcbJfmTB6udKd5WFO6M0FzJg9XbrYrQi0DEE5dIt0AAAAQvXKzXRrnTldRaaUqauuU1qNhmBM9E0DnQUEBAADaJTbGoZwBqZFuBoAIYcgTAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIGAUFAAAAgIBRUAAAAAAIWJdINwAAAEQ3j9dQUWmlKmrrlNYjQSOzUhQb44h0swCECQUFAAAIWEFxmWYtKlFZdZ3vmMuZoPw8t3KzXRFsGYBwYcgTAAAISEFxmaYtWG8qJiSpvLpO0xasV0FxWYRaBiCcKCgAAIDfPF5DsxaVyGjmucZjsxaVyONtLgHATigoAACA34pKK5v0TBzLkFRWXaei0srwNQpARFBQAAAAv1XUtlxMBJIDEL0oKAAAgN/SeiQENQcgelFQAAAAv43MSpHLmaCWFod1qGG1p5FZKeFsFoAIoKAAAAB+i41xKD/PLUlNiorGx/l5bvajADoBCgoAABCQ3GyX5kwernSneVhTujNBcyYPZx8KoJNgYzsAOA67/gLW5Wa7NM6dzu8M0IlRUADAMdj1F/BfbIxDOQNSI90MABHCkCcA+B92/QUAwH8UFAAgdv0FACBQFBQAIHb9BQAgUBQUACB2/QUAIFAUFAAgdv0FACBQFBQAIHb9BQAgUBQUACB2/QUAIFAUFADwP+z6CwCA/9jYDgCOwa6/AAD4h4ICAI7Drr8AAFjHkCcAAAAAAaOgAAAAABAwCgoAAAAAAWMOBQAAaBeP12AhA6ATi2gPxezZszVixAj16NFDaWlpmjRpkrZs2WLK1NXVafr06UpNTVX37t112WWXac+ePabMrl27dPHFFyspKUlpaWm68847dfToUVNm2bJlGj58uOLj43XKKado/vz5TdrzxBNPKDMzUwkJCRo1apSKior8bgsAAJ1JQXGZznvwXV05b7Vu/scGXTlvtc578F0VFJdFumkAwiSiBcXy5cs1ffp0rV69WkuWLNGRI0c0fvx4HThwwJe59dZbtWjRIr3yyitavny5du/ere9///u+5z0ejy6++GLV19dr1apVevbZZzV//nzde++9vkxpaakuvvhiffvb39aGDRt0yy236Kc//anefvttX2bhwoW67bbblJ+fr/Xr12vo0KGaMGGCKioqLLcFAIDOpKC4TNMWrFdZdZ3peHl1naYtWE9RAXQSDsMwjEg3otFXX32ltLQ0LV++XGPGjFF1dbVOOOEEvfjii/rBD34gSdq8ebMGDx6swsJCjR49Wv/+97/13e9+V7t371afPn0kSXPnztVdd92lr776SnFxcbrrrrv01ltvqbi42PezrrjiClVVVamgoECSNGrUKI0YMUJ/+ctfJEler1d9+/bVTTfdpLvvvttSW9pSU1Mjp9Op6upqJScnB/XcAQAQTh6vofMefLdJMdHIoYZNIf9713cY/gR0MMG+Ju1Qk7Krq6slSSkpKZKkdevW6ciRIxo7dqwvM2jQIJ188skqLCyUJBUWFmrIkCG+YkKSJkyYoJqaGn3yySe+zLGv0ZhpfI36+nqtW7fOlImJidHYsWN9GSttOd7hw4dVU1Nj+gIAwA6KSitbLCYkyZBUVl2notLK8DUKQER0mILC6/Xqlltu0bnnnqvs7GxJUnl5ueLi4tSzZ09Ttk+fPiovL/dlji0mGp9vfK61TE1NjQ4dOqSvv/5aHo+n2cyxr9FWW443e/ZsOZ1O31ffvn0tng0AADq2itqWi4lAcgCiV4cpKKZPn67i4mL94x//iHRTgmbmzJmqrq72fX3++eeRbhIAAEGR1iMhqDkA0atDFBQzZszQm2++qffee08nnXSS73h6errq6+tVVVVlyu/Zs0fp6em+zPErLTU+biuTnJysxMRE9e7dW7Gxsc1mjn2NttpyvPj4eCUnJ5u+AACwg5FZKXI5E9TS7AiHJJezYQlZAPYW0YLCMAzNmDFDr732mt59911lZWWZnj/rrLPUtWtXLV261Hdsy5Yt2rVrl3JyciRJOTk52rhxo2k1piVLlig5OVlut9uXOfY1GjONrxEXF6ezzjrLlPF6vVq6dKkvY6UtAAB0FrExDuXnNfydPb6oaHycn+dmQjbQCUR0laef//znevHFF/Wvf/1LAwcO9B13Op1KTEyUJE2bNk2LFy/W/PnzlZycrJtuukmStGrVKkkNy8YOGzZMGRkZeuihh1ReXq5rrrlGP/3pT/XAAw9Ialg2Njs7W9OnT9dPfvITvfvuu/p//+//6a233tKECRMkNSwbO2XKFD311FMaOXKk/vjHP+rll1/W5s2bfXMr2mpLW1jlCQBgNwXFZZq1qMQ0QdvlTFB+nlu52a4ItgxAS4J+TWpEkBoWgWjy9cwzz/gyhw4dMn7+858bvXr1MpKSkozvfe97RllZmel1duzYYVx00UVGYmKi0bt3b+P22283jhw5Ysq89957xrBhw4y4uDijf//+pp/R6M9//rNx8sknG3FxccbIkSON1atXm5630pbWVFdXG5KM6upqy98DAEBHd9TjNVZt+9p4/cMvjFXbvjaOeryRbhKAVgT7mrRD7UNhd/RQAADsyOM1VFRaqYraOqX1aJg3wVAnoOMK9jVplyC0CQAAdFIMeQLQIVZ5AgAA0aeguEzTFqxvssFdeXWdpi1Yr4Lisgi1DEA4UVAAAAC/ebyGZi0qUXPjphuPzVpUIo+XkdWA3VFQAAAAvxWVVjbpmTiWIamsuk5FpZXhaxSAiKCgAAAAfquobbmYCCQHIHpRUAAAAL+l9UgIag5A9KKgAAAAfhuZlaKeSV1bzfRM6qqRWSlhahGASKGgAAAAIcFOFEDnQEEBAAD8VlRaqaqDR1rN7Dt4hEnZQCdAQQEAAPzGpGwAjSgoAACA35iUDaARBQUAAPDbyKwUuZwJLc6TcEhyOROYlA10AhQUAADAb7ExDuXnuSU1nXzd+Dg/z63YGKZmA3ZHQQEAAAKSm+3SnMnDle40D2tKdyZozuThys12RahlAMKpS6QbAAAAoldutkvj3OkqKq1URW2d0no0DHOiZwLoPCgoAABAu8TGOJQzIDXSzQAQIQx5AgAAABAwCgoAAAAAAaOgAAAAABAwCgoAAAAAAaOgAAAAABAwVnkCAADt4vEaLBsLdGIUFAAAIGAFxWWatahEZdV1vmMuZ4Ly89xsbAd0Egx5AgAAASkoLtO0BetNxYQklVfXadqC9SooLotQywCEEwUFAADwm8draNaiEhnNPNd4bNaiEnm8zSUA2AkFBQAA8FtRaWWTnoljGZLKqutUVFoZvkYBiAgKCgAA4LeK2paLiUByAKIXBQUAAPBbWo+EoOYARC8KCgAA4LeRWSlyORPU0uKwDjWs9jQyKyWczQIQARQUAADAb7ExDuXnuSWpSVHR+Dg/z81+FEAnQEEBAAACkpvt0pzJw5XuNA9rSncmaM7k4exDAXQSbGwHAAAClpvt0jh3OjtlA50YBQUAHMfjNbg4AvxQf9SrxRt3a8feg8pMTdKwvj2VGBcb6WYBCBMKCgA4RkFxmWYtKjGtr+9yJig/z83wDaAZU59bqyUlFb7H72+Vnl+9S+PcaZp37YgItgxAuDCHAgD+p6C4TNMWrG+yWVd5dZ2mLVivguKyCLUM6JiOLyaOtaSkQlOfWxvmFgGIBAoKAFDDMKdZi0pkNPNc47FZi0rk8TaXADqfQ/WeFouJRktKKnSo3hOmFgGIFAoKAJBUVFrZpGfiWIaksuo6FZVWhq9RQAf2wOKSoOYARC8KCgCQVFHbcjERSA6wux17DwY1ByB6UVAAgKS0Hglth/zIAXaXmZoU1ByA6EVBAQCSRmalyOVMaLLjbyOHGlZ7GpmVEs5mAR3WLye6g5oDEL0oKABAUmyMQ/l5DRc+xxcVjY/z89zsRwH8T2JcrMa501rNjHOnsR8F0AlQUADA/+RmuzRn8nClO83DmtKdCZozeTj7UADHmXftiBaLCvahADoPh2EYrIEYJjU1NXI6naqurlZycnKkmwOgBeyUDfjnUL1HDywu8e2U/cuJbnomgA4s2Nek7JQNAMeJjXEoZ0BqpJsBRI24LjGaOCTDV4THdWEABNCZUFAAAICAFRSXadaiEtM+Li5ngvLz3AwTBDoJbiEAAICAFBSXadqC9U02hSyvrtO0BetVUFwWoZYBCCcKCgAA4DeP19CsRSVqbiJm47FZi0rk8TJVE7A7CgoAAOC3otLKJj0TxzIklVXXqai0MnyNAhARFBQAAMBvFbUtFxOB5ABELyZlA8BxWDYWaFtaj4S2Q37kAEQvCgoAOAYr1gDWjMxKkcuZ0OqwJ5ezoSAHYG8MeQKA/2HFGsC62BiHLhnaepF9yVAXvXtAJ0BBAQBixRrAXx6voTc+ar3IfuOjMn5ngE6AggIAxIo1gL/a+p2R+J0BWuLxGircvlf/2vClCrfvjfrCmzkUACBWrAH8xe8MEBg7ztWjhwIAxIo1gL/4nQH8Z9e5ehQUAKBvVqxpafqoQ6xYAxzrrH691NZ86xhHQw6AvefqUVAAgBpWrMnPc0tSk6Ki8XF+npsVa4D/Wbdzn9q67vEaDTkA9p6rR0EBAP+Tm+3SnMnDle40D9FIdyZozuThUTu2FQgF5lAA/rHz7wyTsgHgGLnZLo1zp7NTNtAG5lAA/rHz7wwFBQAcJzbGoZwBqZFuBtChNc6haG3YE3MogG80ztUrr65rdh6FQw094tE4V48hTwAAwG/MoQD8Y+e5ehQUAADAb3YeDw6Eil3n6jHkCQAA+M3O48GBULLjXD0KCgAA4LeRWSnqmdRVVQePtJjpldQ1KseDA6Fmt7l6DHkCAAAhEX3bcwEIBAUFAADwW1FpZau9E5JUdfBIVG7SBcA/FBQAAMBv5dWHgpoDEL2YQ9EJeLyGrSb+AAAir/JAfVBzAKIXBYXNFRSXadaiEpVVf7Nsn8uZoPw8d9QuTQYAiLyU7vFBzQGIXgx5srGC4jJNW7DeVExIUnl1naYtWK+C4rIItQwAEO3Sk60tB2s1ByB6UVDYlMdraNaikmZX2Gg8NmtRiTxtbXMKAEAzzurXS442Rs86HA05APZGQWFTRaWVTXomjmVIKquuY/UNAEBA1pZWymjjnpRhNOQA2BsFhU1V1LZcTASSAwDgWKu2fx3UHIDoRUFhU2k9rI1ZtZoDAOBYu6usLQdrNQcgerHKk02NzEqRy5mg8uq6ZudROCSlOxuWkAVgxlLLQNsyeiUGNQcgelFQ2FRsjEP5eW7duGB9s88bkvLz3FwkAcdhqWXAmnP699YT7223lANgbwx5AoD/YallwLrRA1IV16X1y4i4LjEaPSA1TC0CECkUFDbVuGxsSxxi2VjgWCy1DPjH4zV0xONtNXPE4+V3BugEKChsimVjAf/wOwP45/nCHZaWjX2+cEdY2gMgcigobIplYwH/8DsD+Gdn5cGg5gBELwoKm2LZWMA//M4A/umXkhTUHIDoRUFhU43Lxra0hpNDDSvXsGws0IDfGcA/1+Rkqq2FAmMcDTkA9kZBYVONy8ZKanKB1PiYZWOBb/A7A/gnrkuMLhyc1mrmwsFpba4EBSD68VtuY7nZLs2ZPFzpTvMQjXRnguZMHs6a+sBxGn9n+iTHm473SY7ndwY4jsdrqPjLmlYzxV/WsMoT0AmwsZ3N5Wa7NM6dzq6/gF9a6qMA0KitldGkb1ZGy2EvCsDWKCg6gdgYBx/mgAWNG9sdfz91T03Dxnb0UgDfYGU0AI0Y8gQAYmM7wF+sjAagEQUFAIiN7QB/DTnRGdQcgOhFQQEAYvgG4K8HCzYFNQcgelFQAIAYvgH4a8deaztgW80BiF4UFAAgNrYD/JWZam0HbKs5ANGLggIAxMZ2gL9+OdEd1ByA6EVBAQD/w2aQgHWJcbEa5259p+xx7jQlxsWGqUUAIsVhGAZrIIZJTU2NnE6nqqurlZycHOnmAGiBx2uwGSRg0dTn1mpJSUWT4+PcaZp37YgItAhAW4J9TcrGdgBwHDaDBKy7bPhJ+mhXlSr21/uOpXWP02XDT4pgqwCEEwVFJ8DdVsA/9Ue9er5wh3ZWHlS/lCRdk5OpuC6MEAWO19Lu8hX769ldHuhEIvoXcsWKFcrLy1NGRoYcDodef/110/PXXXedHA6H6Ss3N9eUqays1NVXX63k5GT17NlT119/vfbv32/KfPzxxzr//POVkJCgvn376qGHHmrSlldeeUWDBg1SQkKChgwZosWLF5ueNwxD9957r1wulxITEzV27Fht3bo1OCcihAqKy3Teg+/qynmrdfM/NujKeat13oPvqqC4LNJNAzqk2YtLNOief+v+tzbpucKduv+tTRp0z781e3FJpJsGdCit7S4vNWwGye7yQOcQ0YLiwIEDGjp0qJ544okWM7m5uSorK/N9vfTSS6bnr776an3yySdasmSJ3nzzTa1YsUI33HCD7/mamhqNHz9e/fr107p16/Twww/rvvvu01//+ldfZtWqVbryyit1/fXX68MPP9SkSZM0adIkFRcX+zIPPfSQHn/8cc2dO1dr1qxRt27dNGHCBNXVddxNrhrvHB2/+295dZ2mLVhPUQEcZ/biEj21olTHX/94DempFaUUFcAx2tpdXmJ3eaCz6DCTsh0Oh1577TVNmjTJd+y6665TVVVVk56LRps2bZLb7dbatWt19tlnS5IKCgo0ceJEffHFF8rIyNCcOXP0q1/9SuXl5YqLi5Mk3X333Xr99de1efNmSdLll1+uAwcO6M033/S99ujRozVs2DDNnTtXhmEoIyNDt99+u+644w5JUnV1tfr06aP58+friiuusPRvDOekbI/X0HkPvtvih71DDSvX/Peu7zD8CVDDMKdB9/y7STFxrBiHtPn+ixj+BEj6vw8+1+3//LjN3KM/OEOXnd03DC0CYFWwr0k7/F/FZcuWKS0tTQMHDtS0adO0d+9e33OFhYXq2bOnr5iQpLFjxyomJkZr1qzxZcaMGeMrJiRpwoQJ2rJli/bt2+fLjB071vRzJ0yYoMLCQklSaWmpysvLTRmn06lRo0b5Ms05fPiwampqTF/h0tadI0PcOQKO9XzhjlaLCamhp+L5wh1haQ/Q0W34oiqoOQDRq0MXFLm5uXruuee0dOlSPfjgg1q+fLkuuugieTweSVJ5ebnS0sxrYHfp0kUpKSkqLy/3Zfr06WPKND5uK3Ps88d+X3OZ5syePVtOp9P31bdv+O7QVNRaG4plNQfY3c7Kg0HNAfZntXebXnDA7jr0Kk/HDiUaMmSIzjjjDA0YMEDLli3ThRdeGMGWWTNz5kzddtttvsc1NTVhKyrSeiS0HfIjB9hdv5SkoOYAu8tMtfa7YDUHIHp16B6K4/Xv31+9e/fWtm3bJEnp6emqqDBvpnP06FFVVlYqPT3dl9mzZ48p0/i4rcyxzx/7fc1lmhMfH6/k5GTTV7iMzEqRy5nQ4n0hhySXs2EJWQDSNTmZams6UYyjIQeA3xkA34iqguKLL77Q3r175XI1rGmdk5OjqqoqrVu3zpd599135fV6NWrUKF9mxYoVOnLkiC+zZMkSDRw4UL169fJlli5davpZS5YsUU5OjiQpKytL6enppkxNTY3WrFnjy3Q0sTEO5ee5W13OLz/PzYRs4H/iusRo6vlZrWamnp/FhGzgf/idAdAoor/l+/fv14YNG7RhwwZJDZOfN2zYoF27dmn//v268847tXr1au3YsUNLly7VpZdeqlNOOUUTJkyQJA0ePFi5ubmaOnWqioqKtHLlSs2YMUNXXHGFMjIyJElXXXWV4uLidP311+uTTz7RwoUL9ac//ck0FOnmm29WQUGBHn30UW3evFn33XefPvjgA82YMUNSwwpUt9xyi37729/qjTfe0MaNG3XttdcqIyPDtCoVgOh25sm92vU80NnMnOjWOHdas8+Nc6dp5kR3mFsEIBIiWlB88MEHOvPMM3XmmWdKkm677TadeeaZuvfeexUbG6uPP/5Yl1xyiU477TRdf/31Ouuss/T+++8rPj7e9xovvPCCBg0apAsvvFATJ07UeeedZ9pjwul06j//+Y9KS0t11lln6fbbb9e9995r2qvinHPO0Ysvvqi//vWvGjp0qP75z3/q9ddfV3Z2ti/zi1/8QjfddJNuuOEGjRgxQvv371dBQYESEjrmHITGDYda4hAbDgHHaut3RuJ3BjheQXGZ3impaPa5d0oq2O8I6CQ6zD4UnUE496Eo3L5XV85b3WbupamjlTMgNaRtAaIBvzOAf9jvCIhenW4fCgSGZWMB/5RXHwpqDrA79jsC0IiCwqZYNhbwT+WB+qDmALvjxhWARhQUNnVWv16WlvM7qx+TTAFJSuke33bIjxxgd9y4AtCIgsKm1u3cp7bmjnqNhhwAKT3Z2kWP1Rxgd9y4AtCIgsKm6IoG/NO4GWRr2AwS+AY3rgA0oqCwKbqiAf80bgbpkJrsMN94jM0ggW9w4wpAIwoKmxrWt2dQc0BnkJvt0pzJw5V+XE9FujNBcyYPV262K0ItAzoeblwBaNQl0g1AaLy4Zqfl3PXn9w9xa4DokZvt0jh3uopKK1VRW6e0Hg3DnOiZAMwahwmWV9epuZFPjftQMEwQsD8KCpv67OsDQc0BnUlsjIPN64A2NA4TnLZgvRySqahoLL8ZJgh0Dgx5sqmKGotjWy3mAAA4HsMEAUj0UNhWWrK1tfKt5oDOxOM1GPIEWJSb7dJ5p5ygWxd+qF37DunkXol67PIz1T2BSwygs+C33ab69+4e1BzQWRQUl2nWohKVVX/Te+dyJig/z83dVqAZU59bqyUlFb7HW8prlX3f2xrnTtO8a0dEsGUAwoUhTzZ1TU6mpQ2HrsnJDEt7gGhQUFymaQvWm4oJSSqvrtO0BetVUFwWoZYBHdPxxcSxlpRUaOpza8PcIgCRQEFhU3FdYjT1/KxWM1PPz1JcF94CgNQwzGnWopJmV6tpPDZrUYk8be3kBXQSh+o9LRYTjZaUVOhQvSdMLQIQKVxN2tiZJ/dq1/NAZ1JUWtmkZ+JYhqSy6joVlVaGr1FAB/bA4pKg5gBELwoKm2q829oSh7jbChyLXX8B/+zYezCoOQDRi4LCprjbCviHXX8B/2SmJgU1ByB6UVDYFHdbAf807vrb0loGDjWs9sSuv0CDX050BzUHIHpRUNgUd1sB/zTu+tvSIEBD7PoLHCsxLlZnnJTcauaMk5KVGBcbphYBiBQKCptqvNvaGu62AgAC5fEa+qq2vtXMV7X1zNUDOoF2FRT19fXasmWLjh49Gqz2IEhiYxy6ZGjrm3BdMtTF3Vbgf1jIAPBPW3P1JObqAZ1FQAXFwYMHdf311yspKUmnn366du3aJUm66aab9Pvf/z6oDURgPF5Db3zU+iZcb3xUxsUR8D8sZAD4p7z6UFBzAKJXQAXFzJkz9dFHH2nZsmVKSPhmWM3YsWO1cOHCoDUOgePOEeAfFjIA/FP5/9m78/Aoy0P//59JyArJhIAhiSAEbIUYlIICaZVTW5YoxVrp76gVay3FIwdsXVq304qcLqhdrH5VsHZBRVu1rVaURjlYREswFESNwQUMIJIQJWQCCSHLzO+PNCMDWe7Eh5nnufN+XVeuq5n5kNxCZ/nMcy/1XU936mkOgHf1680fevrpp/X4449r8uTJ8vk+mTJz6qmnavv27Y4NDr1XVWf2psc0B9iOjQyAnvGnJDiaA+BdvbpC8dFHHykrK+uY2+vr6yMKBmKn5uBhR3OA7dg2FuiZ13fXOpoD4F29KhRnnHGGnnvuufD37SXit7/9rQoLC50ZGT6VzP6JjuYA27VvG9sVto0FPmG6Ao+VeoD9ejXl6Wc/+5nOPfdclZeXq6WlRXfffbfKy8u1fv16vfTSS06PEb2Q7U9xNAf0BUUFObpySp4efLlCR+5XEOeT5p2dp6KCrndOA/qSvEH9Hc0B8K5eXaE466yztGXLFrW0tGjs2LF64YUXlJWVpZKSEk2YMMHpMaIXOIcC6Lniskr9Zl1kmZCkYEj6zboKFZd1vXMa0JdcVjii0ymC7Xz/zgGwW6+uUEjSqFGj9OCDDzo5FjioffrG/BWbO7zc7BPTN4AjtZ9D0dVJ2YtXlmtafjaPG0BtrzOpifGqb2rtNJOaFM/jBegDenWFYtWqVXr++eePuf3555/X3//+9089KDijqCBHS+eMV3Z65JWKHH+yls4Zz/QN4AhstQz0TGlFTZdlQpLqD7fymAH6gF4Viptuukmtrcc+iYRCId10002felBwVigUjPg+GAx2kgT6Lg7pAnqGs1sAtOtVoXjvvfeUn3/sbiijR4/Wtm3bPvWg4IziskpdtWKz9h6IPFRo74EmXbViM/PBgSNwSBfQM4MHJDmaA+BdvSoUfr9f77///jG3b9u2Tf37s5uDG7QGQ7rpr292mbnpr2+q9ejVp0AflWn4psc0B1iPfWMB/FuvCsVXv/pVXXPNNRGnYm/btk3XX3+9zj//fMcGh97bsH2fahuau8zUNjRrw/Z9URoR4G5HrzX6tDnAdh/Xmx2MapoD4F29KhR33nmn+vfvr9GjRysvL095eXkaM2aMBg0apF/84hdOjxG9sH77x47mANtNGD5Q3W1GE+drywGQMpITHM0B8K5ebRvr9/u1fv16rV69Wq+//rpSUlJ02mmnacqUKU6PD720p9Zs4ahpDrDdpp37jzl/4mjBUFuucNSg6AwKcLHVW6uMc/8xOus4jwZALPX6HAqfz6fp06dr+vTpTo4HDskdaHYCtmkOsB071gA9U7GvwdEcAO8yLhT33HOPrrzySiUnJ+uee+7pMvvd7373Uw8Mn87nRw7Wff/YbpQDIGWlma2NMM0BtktJMJs1bZoD4F3GheKuu+7SpZdequTkZN11112d5nw+H4XCBSaPGqSM1IQuF2ZnpCZoMlM3AEnSxLxM5fiTVRVo7PR0+Wx/sibmZUZ7aIArnXxCmv5v60dGOQB2My4UFRUVHf5vuFN8nE+3XzhWV63Y3Gnm9gvHKr67VahAHxEf59OiWfmav2KzfIrc6bL9UbJoVj6PGeDf+sWbPRZMcwC8q8fXIZubmzVq1Cht3br1eIwHDioqyNGyOeOVnR65b352epKWzRmvooKcGI0McKeighwtnTNeWWmRj5kh6UlaymMGiFBoOGXWNAfAu3q8KDshIUGNjSxK9IqighxNy89WaUWNqg80KiutbcoGn7ICHXtt1359dDBy3/zqA4f12q79FArgCEytBdCuVyulFixYoDvuuEMtLS1OjwfHQVNLUKve3KM/b9qtVW/uUVNLMNZDAlxpyapyPbCu4pjtY4Mh6YF1FVqyqjw2AwNcqH1qbVeYWgv0Db5QKNTNzuvH+trXvqY1a9ZowIABGjt2rPr37x9x/1//+lfHBmiTuro6+f1+BQIBpaenR+V3znt4o1aXVx9z+7T8LD34zTOjMgbAC5pagjrlR39XV8+IPp/0zo/PVWI/dq0B2i1ZVa7frKs4Zt3RlVPydPN5+bEaFoAuOP2etFevihkZGZo9e7ZmzJih3Nxc+f3+iC+4Q2dlQpJWl1dr3sMbozwiwL0eWr+jyzIhSaFQWw5Am+KyymPKhNS2qcFv1lWouKwyFsMCEGU9WkMRDAb185//XO+++66ampr0pS99SbfddptSUjgczW0ONbV2WibarS6v1qGmVqUkxkdpVIB7bdyxzzg3b8rI4zwawP1agyEtXlne4TbL7RavLNe0/GymPQGW69EVip/+9Ke65ZZbNGDAAJ144om65557tGDBguM1NnwKPzOc622aA2yXmmj2+YppDrBdaUWNKgOdb9ISklQZaFRpRU30BgUgJnpUKB5++GHdf//9ev755/X0009r5cqVevTRRxUMssjXbXbsa3A0B9hu9vihjuYA21UfMNvx0TQHwLt6VCh27dql8847L/z91KlT5fP5tGfPHscHhk9nxKBUR3OA7T5/8mCldjP9r39ivD5/MnvqA5KUlZbsaA6Ad/WoULS0tCg5OfKJISEhQc3Nne9Bjdi4xXBnDdMcYLv4OJ9+9Z+nd5n55X+ezlxw4N8mDB+o7h4Ocb62HAC79WgycCgU0re+9S0lJX1yimxjY6OuuuqqiK1j2TY29lIS43Xa0HS9sbuu08xpQ9NZkA0cof10+UV/e0t7D3xyuF12epJuO/9UDrYDjrBp5/5jzmw5WjDUlivkcDvAaj0qFJdffvkxt82ZM8exwcA5rcGQPjrQ1GXmowNNag2G+MQVOAKnywNm9tQecjQHwLt6VCj+8Ic/HK9xwGHd7b4hfbL7Bp8cAZHi43w8LoBuvLZrv3Fu9gQ2MwBsxv6HlmL3DaD3WoMhrlAA3dhbZ/b6YZoD4F0UCkux+wbQO8VllVq8sjziCl+OP1mLZuWzhgI4Qne7ovU0B8C7erTLE7xjYl6mcvzJ6uwzVZ/a3iRNzMuM5rAAVysuq9T8FZuPmS5YFWjU/BWbVVxWGaORAe5zao7f0RwA76JQWCo+zqdFs9q2hD26VLR/v2hWPtM4gH9rDYa0eGW5Otq0pv22xSvL1drdtjZAHzEgxezKg2kOgHdRKCxWVJCjpXPGK9sfOa0p25+spXPGM30DOEJ3GxmE9MlGBgCkP/xzh6M5AN7FGgrLsQUmYIaNDICe2Xew663Je5oD4F1coQAAsZEB0FPpKQmO5gB4F1coLMeONYCZ9o0MqgKNHa6j8KltuiAbGQBtflQ0RnMf3WSUA2A3rlBYjB1rAHNsZAD0zBdPHeJoDoB3USgsxY41QM+xkQFgrjUYkq+bfu3zidcZoA9gypOlerJjTeGoQdEbGOBybGQAmHmkZIdC3XSFUKgtN/fskdEZFICYoFBYih1rgN471NSq37/yvnbtP6STBqZo7Il+DUjm6RI40s6aBkdzALyLV0hLsWMN0Dvn3/uy3thdF/7+naoDKrjteZ02NF3PLDw7hiMD3GV4ZqqjOQDexRoKS03My1T/xK5PJ+2fFM+ONcARji4TR3pjd53Ov/flKI8IcK/LCkc4mgPgXRQKS7UGQ2poau0y03C4lcVywL8dbGzptEy0e2N3nQ42tkRpRID7dbeyiJVHQN9AobDUIyU7Otzh6Uihf+cASNc+/pqjOcB2vM4AaEehsBSL5YCe2bX/kKM5wHa8zgBoR6GwFIvlgJ4ZNtBsgwLTHGA7XmcAtKNQWOobk4Y7mgNsd9HnhjmaA2zH6wyAdhQKS235oNbRHGC758qrHM0BtuN1BkA7CoWlqurMDqwzzQG2qz9stnuTaQ6wHQeoAmhHobBUzcHDjuYA24W63a+mZznAdhygCqAdhcJSGSkJjuYA22WlG745MswBtpswfKDiujloIs7XlgNgNwqFpWoPNTuaA2w3avAAR3OA7Tbt3K/uzkYNhtpyAOxGobBU5oAkR3OA7S468yRHc4DtKmvNzmQxzQHwLgqFpbINp2WY5gDb/bF0p6M5wHavfWB25cE0B8C7KBSWYm4r0DMbd5i96THNAbYLhsw2KDDNAfAuCoWlmNsK9Ez/xHhHc4Dt4nzdfGrVwxwA76JQWIr9wYGeuXD8UEdzgO3GDTO7wm2aA+BdFApLsT840DOfP3lwt1cf+ifF6/MnD47SiAB3y81IcTQHwLsoFJaamJep1O7eHCXGa2JeZpRGBLhbfJxPv/zP07vM/PL/O13x3S1OAvqIiXmZyvF3/aFUjj+Z1xmgD6BQWKo1GNKh5tYuMw3NrWrtbqEFAAAdiI/zadGsfHVWsX2SFs3Kp4QDfQCFwlKPlOxQdxtrhEJtOQBtJfx7f9rSZeZ7f9pCCQeOUFSQo6VzxuuE/v0ibj+hfz8tnTNeRQU5MRoZgGiiUFhqZ02DoznAdq+8+5EOtwS7zBxuCeqVdz+K0ogAb7h/7TZ9VN8ScdtH9S26f+22GI0IQLRRKCw1PDPV0Rxguwdfft/RHNAXnH/vy3pjd12H972xu07n3/tylEcEIBYoFJb6xqThjuYA2+1vOOxoDrDdwcaWTstEuzd21+lgY0uXGQDeR6Gw1JYPah3NAbZLSjA7sM40B9ju2sdfczQHwLsoFJbiYDugZ07JTnc0B9huV80hR3MAvItCYSkOtgN6pp/h1pamOcB2A5LMrtaZ5gB4F4XCUu0HDnW1PzgHDgGfGDc0w9EcYLsLJ5zoaA6Ad1EoLNV+4JCkY0pF+/ccOAR8IjsjxdEcYLu3Kw84mgPgXRQKi7UfOJTtj5zWlO1P5sAh4Gim59Vxrh0AABH6dR+BlxUV5GhafrZKK2pUfaBRWWlt05y4MgFEYiMDoGdGDOrvaA6Ad8X0CsW6des0a9Ys5ebmyufz6emnn464PxQK6dZbb1VOTo5SUlI0depUvffeexGZmpoaXXrppUpPT1dGRobmzp2rgwcPRmTeeOMNnX322UpOTtawYcN05513HjOWJ598UqNHj1ZycrLGjh2rVatW9XgsbtXUEtSqN/foz5t2a9Wbe9TUzWnAQF9UU9/kaA6w3WWFI+Tr5rMpn68tB8BuMS0U9fX1Ov3003Xfffd1eP+dd96pe+65R8uWLdOrr76q/v37a8aMGWps/OQTwksvvVRvvfWWVq9erWeffVbr1q3TlVdeGb6/rq5O06dP1/Dhw7Vp0yb9/Oc/12233abf/OY34cz69et1ySWXaO7cuXrttdd0wQUX6IILLlBZWVmPxuJG8x7eqDG3FuuRDbv08nsf65ENuzTm1mLNe3hjrIcGuErmgCRHc4Dt4uN8SunmXJaUhHiuiAN9gC8UCrliRrDP59NTTz2lCy64QFLbFYHc3Fxdf/31+v73vy9JCgQCGjJkiJYvX66LL75YW7duVX5+vjZu3KgzzjhDklRcXKzzzjtPu3fvVm5urpYuXar/+Z//UVVVlRITEyVJN910k55++mm9/fbbkqSLLrpI9fX1evbZZ8PjmTx5ssaNG6dly5YZjcVEXV2d/H6/AoGA0tOP/1728x7eqNXl1Z3ePy0/Sw9+88zjPg7AC0q279MlD27oNvfHeZNVOGpQFEYEuBuPGcC7nH5P6tpF2RUVFaqqqtLUqVPDt/n9fk2aNEklJSWSpJKSEmVkZITLhCRNnTpVcXFxevXVV8OZKVOmhMuEJM2YMUPvvPOO9u/fH84c+XvaM+2/x2QsbnOoqbXLMiFJq8urdaipNUojAtxt7Il+R3OA7d7dW+toDoB3ubZQVFVVSZKGDBkScfuQIUPC91VVVSkrKyvi/n79+ikzMzMi09HPOPJ3dJY58v7uxtKRw4cPq66uLuIrWn62qtzRHGC72/++1dEcYLtfvmC2jtA0B8C7XFsobLBkyRL5/f7w17Bhw6L2uys+bnA0B9ju9d21juYA25le4eZKOGA/1xaK7OxsSdLevXsjbt+7d2/4vuzsbFVXR07raWlpUU1NTUSmo59x5O/oLHPk/d2NpSM333yzAoFA+OuDDz7o5r/aOSkJZv+0pjnAdunJCY7mANslxJu9fpjmAHiXax/leXl5ys7O1po1a8K31dXV6dVXX1VhYaEkqbCwULW1tdq0aVM48+KLLyoYDGrSpEnhzLp169Tc3BzOrF69WqeccooGDhwYzhz5e9oz7b/HZCwdSUpKUnp6esRXtEzPH9J9qAc5wHbf+UKeoznAducWmL1+mOYAeFdMC8XBgwe1ZcsWbdmyRVLb4uctW7Zo165d8vl8uuaaa/STn/xEzzzzjN58801985vfVG5ubngnqDFjxqioqEjz5s1TaWmp/vnPf2rhwoW6+OKLlZubK0n6xje+ocTERM2dO1dvvfWWHn/8cd1999267rrrwuP43ve+p+LiYv3yl7/U22+/rdtuu03/+te/tHDhQkkyGovbDM00O0jINAfYLrGb7S97mgNsl5pkdrXONAfAu2J6Uva//vUvnXPOOeHv29/kX3755Vq+fLluuOEG1dfX68orr1Rtba3OOussFRcXKzk5OfxnHn30US1cuFBf/vKXFRcXp9mzZ+uee+4J3+/3+/XCCy9owYIFmjBhggYPHqxbb7014qyKz3/+83rsscf0wx/+ULfccos+85nP6Omnn1ZBQUE4YzIWN5mYl6kcf7IqA52fk5Hjbzs1G4D0cf1hR3OA7T43bKAe2bDLKAfAbq45h6IviPY5FEtWleuBdRWd3v9fU/J083n5x30cgBewpz7QMzxmAO/qM+dQ4NNpDYb0zOuVXWaeeb1SrUH6JCB9clWvszN9feKqHnCk9sdMV3jMAH0DhcJSpRU1XU53kqTKQKNKK2qiNCLA3eLjfFo0q+2K3dGlov37RbPyFR/XWeUA+pYjHzOd4TED9A0UCktVH+i6TPQ0B/QFRQU5unJKx7s4XTklT0UFOVEeEeBuS7o56LG7+wHYgUJhqaw0s8XipjmgLyguq9QD6yp09ETAkKQH1lWouKzraYRAXxJoaNbOfYe6zOzcd0iBhuYuMwC8j0JhqYl5mcpI7XqrvoGpCcxtBf6tNRjSTX99s8vMTX99k3VHwL99e3mpozkA3kWh6MN4WwR8YsP2fart5pPU2oZmbdi+L0ojAtztg5p6R3MAvItCYanSihqjN0csygbalLz/saM5wHamF+u4qAfYj0JhqapA1/Nae5oD7Ge6Ew071gCSNHhAoqM5AN5FobBUTX2ToznAdqYHb3FAF9CmscXs0oNpDoB3USgsNTDV7BMh0xxguzNHZMrXzcUHn68tB0AaObi/ozkA3kWhsNT+BrMrD6Y5wHabdu5XqJsPUkOhthwAKTcjxdEcAO+iUFgqI6XrLWN7mgNsx2GQQM98bliGozkA3kWhsFTtIbODhExzgO04DBLomdyBqY7mAHgXhcJSGYZrI0xzgO0mDB+ouG7WUMT52nIApPycdEdzALyLQmGpmvrDjuYA223aub/b/fKDrKEAwq5/coujOQDeRaGwFFOegJ5hDQXQM29XHnA0B8C7KBSW8hkevmWaA2yXaTj9zzQH2K5fvNnrh2kOgHdRKCzFIV1Az7xdZfhpq2EOsN2X809wNAfAuygUlpo8cpAyUrveEnZgaoImj6RQAJK0Y1+9oznAdkP6m50vYZoD4F0UCkvFx/l0+4Vju8wsuXCs4rvb1gboI6rrDNdQGOYA2wUOm63BM80B8C4KhcWKCnK0bM54ZadH7puf40/WsjnjVVSQE6ORAe6T0d/wMEjDHGC7UHdHy/cwB8C7+sV6ADi+igpy9KXRQ/RIyQ7trGnQ8MxUXVY4Qon96JLAkV7fVetoDrDdwNQkR3MAvItCYbniskotXlmuysAn0zR++0qFFs3K5woFcITWYNDRHGC7tOR4R3MAvIuPqS1WXFap+Ss2R5QJSaoKNGr+is0qLquM0cgA9zncYjYtwzQH2O7Jf+12NAfAuygUlmoNhrR4Zbk6eusT+vfX4pXlau3uaGCgj8j2J3cf6kEOsF1tw2FHcwC8i0JhqdKKmmOuTBytMtCo0oqaKI0IcLfyPQFHc4DtAodaHM0B8C4KhaWqDLe2NM0BtmtsNrtaZ5oDbJdheGq8aQ6Ad1EoLFVz0OwSs2kOsF1SgtnToWkOsJ0/xWwLZdMcAO/ildFSmf3NPhEyzQG2G39ShqM5wHazJwx1NAfAuygUlsr2pziaA2y34+N6R3OA7bZW1jmaA+BdFApLTczLVEZq15eZM1ITNDEvM0ojAtytxXDHM9McYLug4QnYpjkA3kWhsFhTS9cHcDV3cz/Ql+Skm53ma5oDAKCvoFBYasP2fWpoau0yU9/Uqg3b90VpRIC7ZRiuJzLNAbZLTzZ7LJjmAHgXhcJS69//2NEcYLvKuiZHc4Dt4uN8juYAeBeFwlIf1jQ4mgNsd9JAsw0KTHOA7QpHDXI0B8C7KBSWajVcOGqaA2x3y7n5juYA243JTnc0B8C7KBSWqmkwm5ZhmgNsd+lvSxzNAbab9/BGR3MAvItCYankhHhHc4Dtqg1PjTfNAbb7sPaQozkA3kWhsJTpEjiWygFt+sWZPR2a5gDbpSf3czQHwLt4ZbTU4DSzvfJNc4DtPj8iw9EcYLtvfn64ozkA3kWhsNS+g2ZrI0xzgO3eqDzgaA6w3TtVBx3NAfAuCoWlTjC88mCaA2xX381BkD3NAbZrbg06mgPgXRQKS8X5zFZHmOYA2yXEmz0WTHOA7d7ba3blwTQHwLsoFJYakGS2CM40B9hu6pgTHM0BtktOMHsLYZoD4F08yi21x3CbPtMcYLtAQ4ujOcB2Iwb3dzQHwLsoFJb66ECjoznAdvsPNTuaA2w3PT/b0RwA76JQWGpfvdmbHtMcYLtgMORoDrBdrWG5Ns0B8C4Kha18hm96THOA5arqzKb/meYA2w0eYHjekWEOgHdRKCw1Zki6oznAdtV1Zp+imuYA65l+HsXnVoD1KBSW+vqEYY7mANuZ7pTPjvpAm6o6szV4pjkA3kWhsNQZeZmO5gAAONKWD/Y7mgPgXRQKS63YsNPRHAAAANARCoWlSiv2OZoDAOBIIwYZnkNhmAPgXRQKSx1qanU0BwDAkS4rHCGfr+uMz9eWA2A3CoWlxg7zO5oDbGf6ZMiTJtAmPs6nlIT4LjOpCfGKj+umdQDwPF4bLXXWqBMczQG2M33Pw3sjoE1pRY0aurnKXd/UqtKKmiiNCECsUCgsNXnUIGWkJnSZyUhN0ORRg6I0IsDdErv+oLXHOcB2e2rNDnk0zQHwLgqFpeLjfLrojKFdZi46YyiXooF/4xwKoGfYNhZAOwqFpVqDIT3zemWXmWder1RrkCNMAUlK7mYueE9zgO2Chq8fpjkA3kWhsFRpRY0qA12fTloZaGRuK/BvqYZFwTQH2C7O8Aq3aQ6Ad1EoLFUVMJuzapoDbNcv3uxNj2kOsN24YQMdzQHwLgqFpT4+2ORoDrCdL87s6dA0B9guKy3J0RwA7+KV0VK1h8yKgmkOsJ3PcJq3aQ6wXXllwNEcAO+iUFjKdFIGkzeANgO72Wa5pznAdqU7zNbgmeYAeBeFwlKFIwc7mgNsxy5PQM/sDRx2NAfAuygUluJgO6Bn9htO/zPNAbYbkpboaA6Ad1EoLMXBdkDPbNtb72gOsJ3P8PXDNAfAuygUluJgO6BnWgwfCqY5wHYD+5tdeTDNAfAuCoWlONgOAHA8lWzb52gOgHdRKCy1Z3+DozkAAI7U3NLqaA6Ad1EoLLVld62jOQAAjuRPNZvKZJoD4F0UCmtxEgXQEwmGDwXTHGC7b5810tEcAO+iUFjqpMxUR3OA7U5IS3I0B9humOHrh2kOgHdRKCw1ekiaoznAdhd+7kRHc4DtWlqCjuYAeBeFwlI1hodvmeYA2/39rSpHc4DtntryoaM5AN5FobBUVlqyoznAdh/sP+RoDrDdbsNdAk1zALyLQmGpccMyHM0BtmtpNTuxzjQH2O7EjBRHcwC8i0Jhqcde3eloDrCd6SxvZoMDbb4+YZijOQDeRaGw1HvVBxzNAbYzfTLkSRNoc2qu39EcAO/itdFSm3fudzQH2I4rFEDPzHt4o6M5AN5FobCU6SxvZoMDAHrjw1qzDQpMcwC8i0JhqfTkBEdzAAAcqV+c2bHxpjkA3kWhsNTXxuc6mgMA4EiFJw9yNAfAuygUllr7zkeO5gAAOFJyv3hHcwC8i0JhqcpAo6M5AACOdPrQDEdzALyLQmEpn8zmrJrmAAA4UuBQs6M5AN5FobDUWScPdjQH2K6/4f4EpjnAdpkDkhzNAfAuCoWlvmBYFExzgO3iDK/WmeYA22WnJzuaA+BdFApLxfkM3xwZ5gDbHWg2O5XFNAfYbmJepnL8XZeFHH+yJuZlRmlEAGKFQmGpqoDZQUKmOQAAjhQf59OiWfnyScdct2u/bdGsfMVzDgVgPQqFpTbt2u9oDgCAoxUV5GjpnPHKPupKRbY/WUvnjFdRQU6MRgYgmvrFegA4Pt6pOuBoDgCAjhQV5GhafrZKK2pUfaBRWWlt05y4MgH0HRQKAADwqcTH+VQ4ihOxgb6KKU+W+syQAY7mANuZfpbKZ64AAESiUFgqLdns4pNpDrCd6d5N7PEEAEAkCoWlSrbvczQH2I4rFAAA9A6FwlIHD7c6mgNs18/w2dA0BwBAX+Hql8bbbrtNPp8v4mv06NHh+xsbG7VgwQINGjRIAwYM0OzZs7V3796In7Fr1y7NnDlTqampysrK0g9+8AO1tLREZNauXavx48crKSlJJ598spYvX37MWO677z6NGDFCycnJmjRpkkpLS4/Lf7NT+ifGO5oDbJc3ONXRHAAAfYWrC4UknXrqqaqsrAx/vfLKK+H7rr32Wq1cuVJPPvmkXnrpJe3Zs0cXXnhh+P7W1lbNnDlTTU1NWr9+vR566CEtX75ct956azhTUVGhmTNn6pxzztGWLVt0zTXX6Dvf+Y6ef/75cObxxx/Xddddp0WLFmnz5s06/fTTNWPGDFVXV0fnL6EX8k4wfHNkmANsNyA5wdEcAAB9hesLRb9+/ZSdnR3+Gjx4sCQpEAjod7/7nX71q1/pS1/6kiZMmKA//OEPWr9+vTZs2CBJeuGFF1ReXq4VK1Zo3LhxOvfcc/XjH/9Y9913n5qamiRJy5YtU15enn75y19qzJgxWrhwob7+9a/rrrvuCo/hV7/6lebNm6crrrhC+fn5WrZsmVJTU/X73/8++n8hhk7KNNu9yTQH2O6U7HRHcwAA9BWuLxTvvfeecnNzNXLkSF166aXatWuXJGnTpk1qbm7W1KlTw9nRo0frpJNOUklJiSSppKREY8eO1ZAhQ8KZGTNmqK6uTm+99VY4c+TPaM+0/4ympiZt2rQpIhMXF6epU6eGM270uVy/oznAdoNTza48mOYAAOgrXF0oJk2apOXLl6u4uFhLly5VRUWFzj77bB04cEBVVVVKTExURkZGxJ8ZMmSIqqqqJElVVVURZaL9/vb7usrU1dXp0KFD+vjjj9Xa2tphpv1ndObw4cOqq6uL+IqWpa+872gOsN3y9TsczQEA0Fe4+hCCc889N/y/TzvtNE2aNEnDhw/XE088oZSUlBiOzMySJUu0ePHimPzuPbWHHM0BtjvQFHQ0BwBAX+HqKxRHy8jI0Gc/+1lt27ZN2dnZampqUm1tbURm7969ys7OliRlZ2cfs+tT+/fdZdLT05WSkqLBgwcrPj6+w0z7z+jMzTffrEAgEP764IMPevzf3FvxcWa75ZvmAAAAgI54qlAcPHhQ27dvV05OjiZMmKCEhAStWbMmfP8777yjXbt2qbCwUJJUWFioN998M2I3ptWrVys9PV35+fnhzJE/oz3T/jMSExM1YcKEiEwwGNSaNWvCmc4kJSUpPT094itaPmu4e5NpDgAAAOiIqwvF97//fb300kvasWOH1q9fr6997WuKj4/XJZdcIr/fr7lz5+q6667TP/7xD23atElXXHGFCgsLNXnyZEnS9OnTlZ+fr8suu0yvv/66nn/+ef3whz/UggULlJSUJEm66qqr9P777+uGG27Q22+/rfvvv19PPPGErr322vA4rrvuOj344IN66KGHtHXrVs2fP1/19fW64oorYvL3YqIpaHblwTQHAAAAdMTVayh2796tSy65RPv27dMJJ5ygs846Sxs2bNAJJ5wgSbrrrrsUFxen2bNn6/Dhw5oxY4buv//+8J+Pj4/Xs88+q/nz56uwsFD9+/fX5Zdfrv/93/8NZ/Ly8vTcc8/p2muv1d13362hQ4fqt7/9rWbMmBHOXHTRRfroo4906623qqqqSuPGjVNxcfExC7XdZOxQv/65fZ9RDoCUmeRTzeGQUQ4AAHzCFwqFun8FhSPq6urk9/sVCASO+/Snl9/9SJf9vvvTvB/59kSd/dkTjutYAC8Yt/gF1R5q7jaXkZKgLYumR2FEAAAcH06/J3X1lCf0XjBo1hNNc4DtTPcnYB8DAAAiUSgs9dfXPnQ0B9jucHOLozkAAPoKCoWldtfUO5oDbNfUbHa1zjQHAEBfQaGwVEOT2aeopjnAdqaPBB4xAABEolBYaldNg6M5wHbxhmsjTHMAAPQVFApL1RtOyzDNAbZLSjB7OjTNAQDQV/DKCACS+ieZHctjmgMAoK+gUFjKdFYGszeANqYXHrhAAQBAJF4aLdU/wdkcYLvKQJOjOQAA+goKhaWSE+MdzQG2CzqcAwCgr6BQWCpwqNXRHAAAANARCoWlWg0/RjXNAQAAAB2hUFiK6RsAAACIBgoFAAAAgF6jUACApGTD/QlMcwAA9BUUCgCQdNhwfwLTHAAAfQWFAgAkhRzOAQDQV1AoLMVJ2QAAAIgGCoWlMlLMJnqb5gAAAICOUCgsNe6kTEdzgO1MqzUVHACASBQKS004aaCjOcB2AxLNng5NcwAA9BW8MlrqXzv3OZoDbJebmepoDgCAvoJCYak3Pqh1NAfYzme4Q4FpDgCAvoJCYanaQ2ab5ZvmANs1twQdzQEA0FdQKCxl+paHt0ZAm8HpyY7mAADoKygUlkownJZhmgNsd/IJAxzNAQDQV1AoLJWaZLa5pWkOsN2NRWMczQEA0FdQKCx12HCet2kOsN2bHwYczQEA0FdQKCxlulU+W+oDbXbX1DuaAwCgr+DtpKVSEvs5mgNs90L5XkdzAAD0FRQKS7FjDdAzh5rNpv+Z5gAA6CsoFJb63LAMR3OA7fIGm52AbZoDAKCvoFBY6qZz8x3NAba75Tyzx4JpDgCAvoJCYanXP6h1NAfYLiUxXtPys7rMTMvPUkoiWy0DAHAkCoWlSt7/2NEc0Bc8+M0zOy0V0/Kz9OA3z4zyiAAAcD+2+LFUyOEc0Fc8+M0zdaipVT9bVa4d+xo0YlCqbjkvnysTAAB0gkJhqYyUREdzQF+SkhivH18wNtbDAADAE5jyZKnBA8yKgmkOAAAA6AiFwlLZ/hRHcwAAAEBHKBSWGmd4voRpDgAAAOgIhcJSj72609EcAAAA0BEKhaV27GtwNAcAAAB0hEJhqVDIbENY0xwAAADQEQqFpRITnM0BAAAAHaFQWKr0/VpHcwAAAEBHKBSW4qRsAAAARAOFwlJJ/cz+aU1zAAAAQEd4N2mpU7IHOJoDAAAAOkKhsFTeILOiYJoDAAAAOkKhsFQwaLY6wjQHAAAAdIRCYalNu/Y7mgMAAAA6QqGwVGWg0dEcAAAA0BEKhaWGpCc6mgMAAAA6QqGwVFZ6sqM5AAAAoCMUCktlpCQ5mgMAAAA6QqGwlM/nbA4AAADoCIXCUgNTzdZGmOYAAACAjlAoLDU4zWwqk2kOAAAA6AiFwlJZA8yKgmkOAAAA6AiFwlamayNYQwEAAIBPgUJhqeo6swPrTHMAAABARygUlqqpb3I0BwAAAHSEQmEpdnkCAABANFAoLLWv/rCjOQAAAKAjFApL1TY0O5oDAAAAOkKhsJTP8Ahs0xwAAADQEQqFpQpHDXI0BwAAAHSEQmGpySMHKSM1ocvMwNQETR5JoQAAAEDvUSgsFR/n0+0Xju0ys+TCsYqPY8oTAAAAeo9CYbGighwtmzNe2enJEbfn+JO1bM54FRXkxGhkAAAAsEW/WA8Ax1dRQY6m5WertKJG1QcalZWWrIl5mVyZAAAAgCMoFH1AfJyPxdcAAAA4LpjyBAAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeo1CAQAAAKDXKBQAAAAAeq1frAfQl4RCIUlSXV1djEcCAACAvqr9vWj7e9NPi0IRRQcOHJAkDRs2LMYjAQAAQF934MAB+f3+T/1zfCGnqgm6FQwGtWfPHqWlpcnn80X1d9fV1WnYsGH64IMPlJ6eHtXfDXgRjxmgZ3jMAD0Ty8dMKBTSgQMHlJubq7i4T78CgisUURQXF6ehQ4fGdAzp6ek80QM9wGMG6BkeM0DPxOox48SViXYsygYAAADQaxQKAAAAAL1GoegjkpKStGjRIiUlJcV6KIAn8JgBeobHDNAzNj1mWJQNAAAAoNe4QgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQmG522+/XT6fT9dcc02shwK4Vmtrq370ox8pLy9PKSkpGjVqlH784x+LPSuANuvWrdOsWbOUm5srn8+np59+usPc1q1bdf7558vv96t///4688wztWvXrugOFnCBpUuX6rTTTgsfWldYWKi///3v4ftramp09dVX65RTTlFKSopOOukkffe731UgEIjhqHuPk7IttnHjRj3wwAM67bTTYj0UwNXuuOMOLV26VA899JBOPfVU/etf/9IVV1whv9+v7373u7EeHhBz9fX1Ov300/Xtb39bF154YYeZ7du366yzztLcuXO1ePFipaen66233lJycnKURwvE3tChQ3X77bfrM5/5jEKhkB566CF99atf1WuvvaZTTz1Ve/bs0Z49e/SLX/xC+fn52rlzp6666irt2bNHf/7zn2M9/B5j21hLHTx4UOPHj9f999+vn/zkJxo3bpx+/etfx3pYgCt95Stf0ZAhQ/S73/0ufNvs2bOVkpKiFStWxHBkgPv4fD499dRTuuCCCyJuv/jii5WQkKBHHnkkNgMDXC4zM1M///nPNXfu3A7vf/LJJzVnzhzV19erXz9vfebPlCdLLViwQDNnztTUqVNjPRTA9T7/+c9rzZo1evfddyVJr7/+ul555RWde+65MR4Z4A3BYFDPPfecPvvZz2rGjBnKysrSpEmTOp0aBfQlra2t+tOf/qT6+noVFhZ2mgsEAkpPT/dcmZCY8mSlP/3pT9q8ebM2btwY66EAnnDTTTeprq5Oo0ePVnx8vFpbW/XTn/5Ul156aayHBnhCdXW1Dh48qNtvv10/+clPdMcdd6i4uFgXXnih/vGPf+g//uM/Yj1EIOrefPNNFRYWqrGxUQMGDNBTTz2l/Pz8DrMff/yxfvzjH+vKK6+M8iidQaGwzAcffKDvfe97Wr16NfNWAUNPPPGEHn30UT322GM69dRTtWXLFl1zzTXKzc3V5ZdfHuvhAa4XDAYlSV/96ld17bXXSpLGjRun9evXa9myZRQK9EmnnHKKtmzZokAgoD//+c+6/PLL9dJLLx1TKurq6jRz5kzl5+frtttui81gPyUKhWU2bdqk6upqjR8/Pnxba2ur1q1bp3vvvVeHDx9WfHx8DEcIuM8PfvAD3XTTTbr44oslSWPHjtXOnTu1ZMkSCgVgYPDgwerXr98xb5TGjBmjV155JUajAmIrMTFRJ598siRpwoQJ2rhxo+6++2498MAD4cyBAwdUVFSktLQ0PfXUU0pISIjVcD8VCoVlvvzlL+vNN9+MuO2KK67Q6NGjdeONN1ImgA40NDQoLi5ySVl8fHz4U1cAXUtMTNSZZ56pd955J+L2d999V8OHD4/RqAB3CQaDOnz4cPj7uro6zZgxQ0lJSXrmmWc8PbOEQmGZtLQ0FRQURNzWv39/DRo06JjbAbSZNWuWfvrTn+qkk07Sqaeeqtdee02/+tWv9O1vfzvWQwNc4eDBg9q2bVv4+4qKCm3ZskWZmZk66aSTJLVd6bvooos0ZcoUnXPOOSouLtbKlSu1du3aGI0aiJ2bb75Z5557rk466SQdOHBAjz32mNauXavnn39eUluZmD59uhoaGrRixQrV1dWprq5OknTCCSd47gNgto3tA774xS+ybSzQhQMHDuhHP/qRnnrqKVVXVys3N1eXXHKJbr31ViUmJsZ6eEDMrV27Vuecc84xt19++eVavnx5+Pvf//73WrJkiXbv3q1TTjlFixcv1le/+tUojhRwh7lz52rNmjWqrKyU3+/XaaedphtvvFHTpk2T1PljSmor7CNGjIjiaD89CgUAAACAXuMcCgAAAAC9RqEAAAAA0GsUCgAAAAC9RqEAAAAA0GsUCgAAAAC9RqEAAAAA0GsUCgAAAAC9RqEAAAAA0GsUCgBAn+Tz+fT000/HehgA4HkUCgAAAAC9RqEAABw3TU1NsR4CAOA4o1AAABzzxS9+UQsXLtQ111yjwYMHa8aMGfrVr36lsWPHqn///ho2bJj++7//WwcPHgz/meXLlysjI0PPPvusTjnlFKWmpurrX/+6Ghoa9NBDD2nEiBEaOHCgvvvd76q1tdVoHJWVlZo5c6ZSUlKUl5enxx57TCNGjNCvf/3rY3LnnnuuUlJSNHLkSP35z3928q8DAPoECgUAwFEPPfSQEhMT9c9//lPLli1TXFyc7rnnHr311lt66KGH9OKLL+qGG26I+DMNDQ2655579Kc//UnFxcVau3atvva1r2nVqlVatWqVHnnkET3wwAPGb/i/+c1vas+ePVq7dq3+8pe/6De/+Y2qq6uPyf3oRz/S7Nmz9frrr+vSSy/VxRdfrK1btzry9wAAfYUvFAqFYj0IAIAdvvjFL6qurk6bN2/uNPPnP/9ZV111lT7++GNJbVcorrjiCm3btk2jRo2SJF111VV65JFHtHfvXg0YMECSVFRUpBEjRmjZsmVdjuHtt9/WmDFjtHHjRp1xxhmSpG3btukzn/mM7rrrLl1zzTWS2hZlX3XVVVq6dGn4z06ePFnjx4/X/fff3+u/AwDoa/rFegAAALtMmDAh4vv/+7//05IlS/T222+rrq5OLS0tamxsVENDg1JTUyVJqamp4TIhSUOGDNGIESPCZaL9to6uMhztnXfeUb9+/TR+/PjwbSeffLIGDhx4TLawsPCY77ds2WL03wkAaMOUJwCAo/r37x/+3zt27NBXvvIVnXbaafrLX/6iTZs26b777pMUuWA7ISEh4mf4fL4ObwsGg8dx5ACA3qBQAACOm02bNikYDOqXv/ylJk+erM9+9rPas2fPcf2dp5xyilpaWvTaa6+Fb9u2bZv2799/THbDhg3HfD9mzJjjOj4AsA1TngAAx83JJ5+s5uZm/b//9/80a9as8ELt42n06NGaOnWqrrzySi1dulQJCQm6/vrrlZKSIp/PF5F98skndcYZZ+iss87So48+qtLSUv3ud787ruMDANtwhQIAcNycfvrp+tWvfqU77rhDBQUFevTRR7VkyZLj/nsffvhhDRkyRFOmTNHXvvY1zZs3T2lpaUpOTo7ILV68WH/605902mmn6eGHH9Yf//hH5efnH/fxAYBN2OUJAGC93bt3a9iwYfq///s/ffnLX471cADAKhQKAIB1XnzxRR08eFBjx45VZWWlbrjhBn344Yd69913j1nsDQD4dFhDAQDwlJdfflnnnntup/cfPHhQzc3NuuWWW/T+++8rLS1Nn//85/Xoo49SJgDgOOAKBQDAUw4dOqQPP/yw0/tPPvnkKI4GAEChAAAAANBr7PIEAAAAoNcoFAAAAAB6jUIBAAAAoNcoFAAAAAB6jUIBAAAAoNcoFAAAAAB6jUIBAAAAoNcoFAAAAAB6jUIBAAAAoNcoFAAAAAB6jUIBAAAAoNcoFAAAAAB6rV+sB9CXBINB7dmzR2lpafL5fLEeDgAAAPqgUCikAwcOKDc3V3Fxn/76AoUiivbs2aNhw4bFehgAAACAPvjgAw0dOvRT/xwKRRSlpaVJavvHS09Pj/FoAAAA0BfV1dVp2LBh4femnxaFIorapzmlp6dTKAAAABBTTk3BZ1E2AAAAgF6jUAAAAADoNQoFAAAAgF6jUAAAAADoNQoFAAAAgF6LaaFYsmSJzjzzTKWlpSkrK0sXXHCB3nnnnYjMF7/4Rfl8voivq666KiKza9cuzZw5U6mpqcrKytIPfvADtbS0RGTWrl2r8ePHKykpSSeffLKWL19+zHjuu+8+jRgxQsnJyZo0aZJKS0sj7m9sbNSCBQs0aNAgDRgwQLNnz9bevXud+csAAAAAPCimheKll17SggULtGHDBq1evVrNzc2aPn266uvrI3Lz5s1TZWVl+OvOO+8M39fa2qqZM2eqqalJ69ev10MPPaTly5fr1ltvDWcqKio0c+ZMnXPOOdqyZYuuueYafec739Hzzz8fzjz++OO67rrrtGjRIm3evFmnn366ZsyYoerq6nDm2muv1cqVK/Xkk0/qpZde0p49e3ThhRcex78hAAAAwN18oVAoFOtBtPvoo4+UlZWll156SVOmTJHUdoVi3Lhx+vWvf93hn/n73/+ur3zlK9qzZ4+GDBkiSVq2bJluvPFGffTRR0pMTNSNN96o5557TmVlZeE/d/HFF6u2tlbFxcWSpEmTJunMM8/UvffeK0kKBoMaNmyYrr76at10000KBAI64YQT9Nhjj+nrX/+6JOntt9/WmDFjVFJSosmTJ3f731dXVye/369AIMA5FAAAAIgJp9+TumoNRSAQkCRlZmZG3P7oo49q8ODBKigo0M0336yGhobwfSUlJRo7dmy4TEjSjBkzVFdXp7feeiucmTp1asTPnDFjhkpKSiRJTU1N2rRpU0QmLi5OU6dODWc2bdqk5ubmiMzo0aN10kknhTMAAABAX+Oak7KDwaCuueYafeELX1BBQUH49m984xsaPny4cnNz9cYbb+jGG2/UO++8o7/+9a+SpKqqqogyISn8fVVVVZeZuro6HTp0SPv371dra2uHmbfffjv8MxITE5WRkXFMpv33HO3w4cM6fPhw+Pu6ujrTvw4AAADAE1xTKBYsWKCysjK98sorEbdfeeWV4f89duxY5eTk6Mtf/rK2b9+uUaNGRXuYPbJkyRItXrw41sMAAAAAjhtXTHlauHChnn32Wf3jH//Q0KFDu8xOmjRJkrRt2zZJUnZ29jE7LbV/n52d3WUmPT1dKSkpGjx4sOLj4zvMHPkzmpqaVFtb22nmaDfffLMCgUD464MPPujyvw0AAADwmpgWilAopIULF+qpp57Siy++qLy8vG7/zJYtWyRJOTk5kqTCwkK9+eabEbsxrV69Wunp6crPzw9n1qxZE/FzVq9ercLCQklSYmKiJkyYEJEJBoNas2ZNODNhwgQlJCREZN555x3t2rUrnDlaUlKS0tPTI74AAAAAm8R0ytOCBQv02GOP6W9/+5vS0tLCaxH8fr9SUlK0fft2PfbYYzrvvPM0aNAgvfHGG7r22ms1ZcoUnXbaaZKk6dOnKz8/X5dddpnuvPNOVVVV6Yc//KEWLFigpKQkSdJVV12le++9VzfccIO+/e1v68UXX9QTTzyh5557LjyW6667TpdffrnOOOMMTZw4Ub/+9a9VX1+vK664IjymuXPn6rrrrlNmZqbS09N19dVXq7Cw0GiHJwAAAMBKoRiS1OHXH/7wh1AoFArt2rUrNGXKlFBmZmYoKSkpdPLJJ4d+8IMfhAKBQMTP2bFjR+jcc88NpaSkhAYPHhy6/vrrQ83NzRGZf/zjH6Fx48aFEhMTQyNHjgz/jiP9v//3/0InnXRSKDExMTRx4sTQhg0bIu4/dOhQ6L//+79DAwcODKWmpoa+9rWvhSorK43/ewOBQEjSMeMHAAAAosXp96SuOofCdpxDAQAAgFhz+j2pa3Z5AvDptQZDKq2oUfWBRmWlJWtiXqbi43yxHhYAALAYhQKwRHFZpRavLFdloDF8W44/WYtm5auoICeGIwMAADZzxbaxAD6d4rJKzV+xOaJMSFJVoFHzV2xWcVlljEYGADDVGgypZPs+/W3LhyrZvk+tQWalwxu4QgF4XGswpMUry9XRy05Ikk/S4pXlmpafzfQnAHAprjLDy7hCAXhcaUXNMVcmjhSSVBloVGlFTfQGBQAwxlVmeB2FAvC46gOdl4ne5AAA0dPdVWap7Soz05/gZhQKwOOy0pIdzQEAooerzLABhQLwuIl5mcrxJ6uz1RE+tc3DnZiXGc1hAQAMcJUZNqBQAB4XH+fToln5knRMqWj/ftGsfBZkA4ALcZUZNqBQABYoKsjR0jnjle2PfMHJ9idr6Zzx7BACAC7FVWbYgG1jAUsUFeRoWn42J2UDgIe0X2Wev2KzfFLE4myuMsMruEIBAAAQQ1xlhtdxhQKwBIciAYB3cZUZXuYLhUJsbBwldXV18vv9CgQCSk9Pj/VwYJH2Q5GOfjC3vwzxCRcAAGjn9HtSpjwBHsehSAAAIJYoFIDHcSgSAACIJQoF4HEcigQAAGKJQgF4HIciAQCAWKJQAB7HoUgAACCWKBSAx7UfiiTpmFLBoUgAAOB4o1AAFuBQJAAAECscbAdYgkORAMDbDjW16meryrVjX4NGDErVLeflKyUxPtbDArrFwXZRxMF2AACgI/Me3qjV5dXH3D4tP0sPfvPMGIwINuNgOwAAAIt0ViYkaXV5teY9vDHKI8Lx1hoMqWT7Pv1ty4cq2b7P84fPMuUJAAAgRg41tXZaJtqtLq/WoaZWpj9ZorisUotXlkccSpvjT9aiWfmeXfPIFQoAAIAY+dmqckdzcLfiskrNX7E5okxIUlWgUfNXbFZxWWWMRvbpUCgAAABiZMe+BkdzcK/WYEiLV5aro8lN7bctXlnuyelPFAoAAIAYGTEo1dEc3Ku0ouaYKxNHCkmqDDSqtKImeoNyCIUCAAAgRm45L9/RHNyr+kDnZaI3OTehUAAAAMRISmK8puVndZmZlp/FgmwLZKUldx/qQc5NKBQAAAAx9OA3z+y0VHAOhT0m5mUqx5+szo6b9altt6eJeZnRHJYj2DYWAAAgxh785pmclG25+DifFs3K1/wVm+WTIhZnt5eMRbPyFR/XWeVwL65QAAAAuEBivzidNzZXX58wVOeNzVViP96m2aaoIEdL54xXtj9yWlO2P1lL54z37DkUXKEAAACIMRsPO0PHigpyNC0/W6UVNao+0KistLZpTl68MtHOFwqFvLfZrUfV1dXJ7/crEAgoPT091sMBAAAu0H7Y2dFvyNrfXnr5k2u4k9PvSbmWBgAAECM2H3aGvoNCAQAAECM2H3aGvoNCAQAAECM2H3aGvoNCAQAAECM2H3aGvoNCAQAAECM2H3aGvoNCAQAAECPth51JOqZUeP2wM/QdFArAIq3BkEq279Pftnyoku372BUEADyg/bCzrLTEiNuz0hLZMhaewMF2gCU4FAkAvOu1Xfv10cGmiNs+Otik13bt5zkcrscVCsAC7YciHb31YFWgUfNXbFZxWWWMRgYA6M6SVeV6YF2Fjr6oHAxJD6yr0JJV5bEZGGCIQgF4HIciAYB3NbUE9eDLFV1mHny5Qk0twSiNCOg5CgXgcRyKBADe9UjJjmOuTBwtGGrLAW5FoQA8jkORAMC7duxrcDQHxAKFAvA4DkUCAC8znY7KtFW4F4UC8DgORQIA7xo3NMPRHBALFArA4zgUCQC8K3dgqqM5IBYoFIAF2g9FyvZHTmvK9idzKBIAuFj7VeaucJUZbsfBdoAligpyNC0/W6UVNao+0KistLYXIK5MAIB7tV9lnr9ic4erJHziKjPczxcKhVjlEyV1dXXy+/0KBAJKT0+P9XAAAIBLFJdVavHK8ohtwHP8yVo0K5+rzHCc0+9JuUIBAAAQY1xlhpdRKAAAAFwgPs6nwlGDYj0MoMdYlA0AAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqNQgEAAACg1ygUAAAAAHqtX6wHAMA5rcGQSitqVH2gUVlpyZqYl6n4OF+shwUAACxGoQAsUVxWqcUry1UZaAzfluNP1qJZ+SoqyInhyAAAgM2Y8gRYoLisUvNXbI4oE5JUFWjU/BWbVVxWGaORAQAA21EoAI9rDYa0eGW5Qh3c137b4pXlag12lAAAAPh0KBSAx5VW1BxzZeJIIUmVgUaVVtREb1AAAKDPoFAAHld9oPMy0ZscAABAT1AoAI/LSkt2NAcAANATFArA4ybmZSrHn6zONof1qW23p4l5mdEcFgAA6CMoFIDHxcf5tGhWviQdUyrav180K5/zKAAAwHFBoQAsUFSQo6VzxivbHzmtKdufrKVzxnMOBQAAOG442K4P4PTkvqGoIEfT8rP5twYAAFFFobAcpyf3LfFxPhWOGhTrYQAAgD6EKU8W4/RkAAAAHG8UCktxejIAAACigUJhKU5PBgAAQDRQKCzF6ckAAACIBgqFpTg9GQAAANFAobAUpycDAAAgGigUluL0ZAAAAEQDhcJinJ4MAACA442D7SzH6ckAAAA4nigUfQCnJwMAAOB4YcoTAAAAgF6jUAAAAADoNQoFAAAAgF6jUAAAAADotZgWiiVLlujMM89UWlqasrKydMEFF+idd96JyDQ2NmrBggUaNGiQBgwYoNmzZ2vv3r0RmV27dmnmzJlKTU1VVlaWfvCDH6ilpSUis3btWo0fP15JSUk6+eSTtXz58mPGc99992nEiBFKTk7WpEmTVFpa2uOxAAAA9EZrMKSS7fv0ty0fqmT7PrUGQ7EeEmAkpoXipZde0oIFC7RhwwatXr1azc3Nmj59uurr68OZa6+9VitXrtSTTz6pl156SXv27NGFF14Yvr+1tVUzZ85UU1OT1q9fr4ceekjLly/XrbfeGs5UVFRo5syZOuecc7RlyxZdc801+s53vqPnn38+nHn88cd13XXXadGiRdq8ebNOP/10zZgxQ9XV1cZjAQAA6I3iskqddceLuuTBDfren7bokgc36Kw7XlRxWWWshwZ0yxcKhVxTfz/66CNlZWXppZde0pQpUxQIBHTCCSfoscce09e//nVJ0ttvv60xY8aopKREkydP1t///nd95Stf0Z49ezRkyBBJ0rJly3TjjTfqo48+UmJiom688UY999xzKisrC/+uiy++WLW1tSouLpYkTZo0SWeeeabuvfdeSVIwGNSwYcN09dVX66abbjIaS3fq6urk9/sVCASUnp7u6N8dAADwpuKySs1fsVlHvyFrPzGKw2jhNKffk7pqDUUgEJAkZWZmSpI2bdqk5uZmTZ06NZwZPXq0TjrpJJWUlEiSSkpKNHbs2HCZkKQZM2aorq5Ob731Vjhz5M9oz7T/jKamJm3atCkiExcXp6lTp4YzJmMBAADoidZgSItXlh9TJiSFb1u8spzpT3A11xSKYDCoa665Rl/4whdUUFAgSaqqqlJiYqIyMjIiskOGDFFVVVU4c2SZaL+//b6uMnV1dTp06JA+/vhjtba2dpg58md0N5ajHT58WHV1dRFfAAAA7UoralQZaOz0/pCkykCjSitqojcooIdcUygWLFigsrIy/elPf4r1UByzZMkS+f3+8NewYcNiPSQAAOAi1Qc6LxO9yQGx4IpCsXDhQj377LP6xz/+oaFDh4Zvz87OVlNTk2prayPye/fuVXZ2djhz9E5L7d93l0lPT1dKSooGDx6s+Pj4DjNH/ozuxnK0m2++WYFAIPz1wQcfGPxtAACAviIrLdnRHBALMS0UoVBICxcu1FNPPaUXX3xReXl5EfdPmDBBCQkJWrNmTfi2d955R7t27VJhYaEkqbCwUG+++WbEbkyrV69Wenq68vPzw5kjf0Z7pv1nJCYmasKECRGZYDCoNWvWhDMmYzlaUlKS0tPTI74AAADaTczLVI4/ObwA+2g+STn+ZE3My4zmsIAe6RfLX75gwQI99thj+tvf/qa0tLTwWgS/36+UlBT5/X7NnTtX1113nTIzM5Wenq6rr75ahYWF4V2Vpk+frvz8fF122WW68847VVVVpR/+8IdasGCBkpKSJElXXXWV7r33Xt1www369re/rRdffFFPPPGEnnvuufBYrrvuOl1++eU644wzNHHiRP36179WfX29rrjiivCYuhsLAABAT8TH+bRoVr7mr9gsnxSxOLu9ZCyala/4uM4qBxB7Md021ufr+MHxhz/8Qd/61rcktR0md/311+uPf/yjDh8+rBkzZuj++++PmGa0c+dOzZ8/X2vXrlX//v11+eWX6/bbb1e/fp/0pbVr1+raa69VeXm5hg4dqh/96Efh39Hu3nvv1c9//nNVVVVp3LhxuueeezRp0qTw/SZj6QrbxgIAgI4Ul1Vq8cryiAXaOf5kLZqVz5axcJzT70lddQ6F7SgUAACgM00tQT1SskM7axo0PDNVlxWOUGI/Vyx3hWWcfk8a0ylPAAAA6PgKxW9fqeAKBTyB2gsAABBD7SdlH30eRVWgUfNXbFZxWWWMRgaYoVAAAADECCdlwwYUCgAAgBjhpGzYgEIBAAAQI5yUDRtQKAAAAGKEk7JhAwoFAABAjEzMy1RGakKXmYzUBE7KhqtRKAAAAFyMM7LhdhQKAACAGCmtqFFtQ3OXmf0NzSzKhqtRKAAAAGKERdmwAYUCAAAgRliUDRtQKAAAAGJkYl6mcvzJna6T8EnK8SezKBuuRqEAAACIkfg4nxbNypd07OLr9u8XzcpXfBxLs+FeFAoAAIAYKirI0dI545Xtj5zWlO1P1tI541VUkBOjkQFm+sV6AAAAAH1dUUGOpuVnq7SiRtUHGpWV1jbNiSsT8AIKBQAAgAvEx/lUOGpQrIcB9BhTngAAAAD0GoUCAAAAQK9RKAAAAAD0GoUCAAAAQK9RKAAAAAD0Grs8ARZpDYbYchAAAEQVhQKwRHFZpRavLFdloDF8W44/WYtm5XMoEgAAOG6Y8gRYoLisUvNXbI4oE5JUFWjU/BWbVVxWGaORAQAA21EoAI9rDYa0eGW5Qh3c137b4pXlag12lAAAAPh0KBSAx5VW1BxzZeJIIUmVgUaVVtREb1AAAKDPoFAAHld9oPMy0ZscAABAT1AoAI/LSkt2NAcAANATFArA4ybmZSrHn6zONof1qW23p4l5mdEcFgAA6CMoFIDHxcf5tGhWviQdUyrav180K5/zKAAAwHFBoQAsUFSQo6VzxivbHzmtKdufrKVzxnMOBQAAOG442A6wRFFBjqblZ3NSNgAAiCoKRR/QGgzxJrOPiI/zqXDUoFgPAwDQC4eaWvWzVeXasa9BIwal6pbz8pWSGB/rYQHdolBYrrisUotXlkecU5DjT9aiWflMgwEAwCXmPbxRq8urw9+//J70yIZdmpafpQe/eWYMRwZ0jzUUFisuq9T8FZuPOfSsKtCo+Ss2q7isMkYjAwAA7Y4uE0daXV6teQ9vjPKIgJ6hUFiqNRjS4pXlCnVwX/tti1eWqzXYUQIAAETDoabWTstEu9Xl1TrU1BqlEQE9R6GwVGlFzTFXJo4UklQZaFRpRU30BgUAACL8bFW5ozkgFigUlqo+0HmZ6E0OAAA4b8e+BkdzQCxQKCyVlZbcfagHOQAA4LwRg1IdzQGxQKGw1MS8TOX4k485ObmdT227PU3My4zmsAAAwBFuOS/f0RwQCxQKS8XH+bRoVtuTz9Glov37RbPyOY8CAIAYSkmM17T8rC4z0/KzOI8CrkahsFhRQY6WzhmvbH/ktKZsf7KWzhnPORQAALjAg988s9NSwTkU8AJfKBRi39Aoqaurk9/vVyAQUHp6etR+LydlAwDgfpyUjWhx+j0phSKKYlUo0HdQHgEAQHecfk/az4ExAXCB4rJKLV5ZHnH+SI4/WYtm5TO9DQAAHDesoQAsUFxWqfkrNh9zmGFVoFHzV2xWcVlljEYGAABsR6EAPK41GNLileXqaO5i+22LV5arNcjsRgAA4DwKBeBxpRU1x1yZOFJIUmWgUaUVNdEbFAAA6DMoFIDHVR/ovEz0JgcAANATLMoGPC4rLbn7UA9yAIDYYKc+eBWFAvC4iXmZyvEndzntKcff9sIEAHAnduqDlzHlCfC4+Difzj+96xeb80/P4VMuAHApduqD11EoAI9rDYb0zOtdv9g883oluzwBgAuxUx9sQKEAPK67XZ4kdnkCALdipz7YgEIBeBy7PAGAd/EcDhtQKACPY5cnAPAunsNhAwoF4HHtuzx1tuTaJ3Z5AgC3Gjcsw9EcEAsUCsDj4uN8WjQrX5KOKRXt3y+alc8uTwDgQo+9utPRHBALFArAAkUFOVo6Z7yy/ZGXxLP9yVo6Zzx7mAOAS+2saXA0B8QCB9sBligqyNG0/GxOWQUADxmemepoDogFCgVgkfg4nwpHDYr1MAAAhi4rHKGfrNqqUBfHTPh8bTnArZjyBAAAECPxcT6lJMR3mUlJiOdqM1yNQgEAABAjpRU1amhq7TLT0NTKwXZwNQoFAABAjHCwHWxAoQAAAIgRDraDDSgUAAAAMTJh+EB1tzwizteWA9yKQgEAABAjm3buV7CLHZ4kKRhqywFuRaEAAACIkarAIUdzQCxwDgVgkdZgiIPtAMBDauqbHM0BsUChACxRXFapxSvLVRn4ZCeQHH+yFs3KV1FBTgxHBgDoTOaAJEdzQCww5QmwQHFZpeav2BxRJiSpMtCo+Ss2q7isMkYjAwB0JTvdbPcm0xwQCxQKwONagyEtXlmuztb0hSQtXlmu1u5W/QEAoo5dnmADCgXgcaUVNcdcmThaZaCRU1YBwIXY5Qk2oFAAHrdnf4OjOQBA9HBSNmxAoQA8bsvuWkdzAIDo4aRs2IBdngDPM90Wlu1jbcIWwYAdJuZlKsefrKpAY4dr4XySsv1tj3HYw7bncAoF4HEjBqU6moP7sUUwYI/4OJ8WzcrXVSs2d3h/SNKiWfmefrOJSDY+hzPlCfC4ywpHyNfN64zP15aD93W2RXAVWwQDgOvZ+hxOoQA8Lj7Op5SE+C4zKQnxfLplga62CG6/jS2CAW9pf1x3xice17aw+TmcQgF4XGlFjRqaWrvMNDS1sm2sBbrbIjgktggGvIbHdd9h8781hQLwOLYc7Dv4twbsw+O677D535pCAXgcWw72HfxbA/bhcd132PxvTaEAPK59y8HOVkj41LZ7BFsOeh//1oB92h/XXeFxbQebn8MpFIDHtW85KB170kT792w5aAf+rQH7xMf5dP7pXW8Vev7pOTyuLWDzcziFArBAUUGOls4Zr+yjPuXK9idr6Zzxnt3XGsfi3xqwS2swpGde73qr0Gder/Tkzj84lq3P4b5QKMT/Q6Okrq5Ofr9fgUBA6enpsR4OLNTUEtQjJTu0s6ZBwzNTdVnhCCX243MDG9l2yirQV5Vs36dLHtzQbe6P8yarcNSgKIwI0RDr53Cn37rAc5AAAQAASURBVJNyUjZgiY5O3vztKxWePnkTnYuP8/HmArCAzTv/oHO2PYfz0SVgAVtP3gQA29m88w/6DgoF4HE2n7wJALabmJfZ7dTUpH5xntz5B30HhQLwOJtP3gQA2zW1BNXUEuwyc9ggA8QShQLwOObfAoB3/WxVuaM5IBYoFIDHMf8WALxrx74GR3NALFAoAI+z+eRNALDdiEGpjuaAWKBQAB5n88mbAGC7W87LdzQHxAKFArCArSdvAoDtUhLjNS0/q8vMtPwspSTGR2lEQM9xUnYUcVI2jrdYn7wJAOid8+99WW/srjvm9tOGpuuZhWfHYESwmdPvSblCAVikNRhS+Z6ANu3cr/I9Ac6eAAAPKC6r1JsdlAlJenN3HYeTwvViWijWrVunWbNmKTc3Vz6fT08//XTE/d/61rfk8/kivoqKiiIyNTU1uvTSS5Wenq6MjAzNnTtXBw8ejMi88cYbOvvss5WcnKxhw4bpzjvvPGYsTz75pEaPHq3k5GSNHTtWq1atirg/FArp1ltvVU5OjlJSUjR16lS99957zvxFAA5Ysqpco3/0d/34ua16uGSnfvzcVo3+0d+1hK0GAcC1ujqcVGo7S4jDSeF2MS0U9fX1Ov3003Xfffd1mikqKlJlZWX4649//GPE/ZdeeqneeustrV69Ws8++6zWrVunK6+8Mnx/XV2dpk+fruHDh2vTpk36+c9/rttuu02/+c1vwpn169frkksu0dy5c/Xaa6/pggsu0AUXXKCysrJw5s4779Q999yjZcuW6dVXX1X//v01Y8YMNTaytz9ib8mqcj2wrkJHv94EQ9ID6yooFQDgUt0dTipxOCnczzVrKHw+n5566ildcMEF4du+9a1vqba29pgrF+22bt2q/Px8bdy4UWeccYYkqbi4WOedd552796t3NxcLV26VP/zP/+jqqoqJSYmSpJuuukmPf3003r77bclSRdddJHq6+v17LPPhn/25MmTNW7cOC1btkyhUEi5ubm6/vrr9f3vf1+SFAgENGTIEC1fvlwXX3yx0X8jayhwPDS1BDX6R38/pkwcKc4nvf3jc5XYj1mOAOAmT27cpR/85c1ucz+fPVb/35knRWFE6Av63BqKtWvXKisrS6eccormz5+vffv2he8rKSlRRkZGuExI0tSpUxUXF6dXX301nJkyZUq4TEjSjBkz9M4772j//v3hzNSpUyN+74wZM1RSUiJJqqioUFVVVUTG7/dr0qRJ4UxHDh8+rLq6uogvwGmPlOzoskxIbVcqHinZEZXxAADMvVC+19EcEAuuLhRFRUV6+OGHtWbNGt1xxx166aWXdO6556q1tVWSVFVVpaysyK3W+vXrp8zMTFVVVYUzQ4YMici0f99d5sj7j/xzHWU6smTJEvn9/vDXsGHDevTfD5jYWWN2eqppDgAQPYeag47mgFjoF+sBdOXIqURjx47VaaedplGjRmnt2rX68pe/HMORmbn55pt13XXXhb+vq6ujVMBxwzPNTk81zQEAoidvcKpe2WaWA9zK1VcojjZy5EgNHjxY27a1PfKys7NVXV0dkWlpaVFNTY2ys7PDmb17Iy8Ttn/fXebI+4/8cx1lOpKUlKT09PSIL8BplxWOUHdHTcT52nIAAHfhpGzYwFOFYvfu3dq3b59yctpO/S0sLFRtba02bdoUzrz44osKBoOaNGlSOLNu3To1NzeHM6tXr9Ypp5yigQMHhjNr1qyJ+F2rV69WYWGhJCkvL0/Z2dkRmbq6Or366qvhjJu1BkMq2b5Pf9vyoUq272PrOcsk9ovTvLPzuszMOzuPBdkA4EKclA0bxHTK08GDB8NXG6S2xc9btmxRZmamMjMztXjxYs2ePVvZ2dnavn27brjhBp188smaMWOGJGnMmDEqKirSvHnztGzZMjU3N2vhwoW6+OKLlZubK0n6xje+ocWLF2vu3Lm68cYbVVZWprvvvlt33XVX+Pd+73vf03/8x3/ol7/8pWbOnKk//elP+te//hXeWtbn8+maa67RT37yE33mM59RXl6efvSjHyk3NzdiVyo3Ki6r1G3PlKuq7pMt6bLTk3Xb+fkqKsiJ4cjgpM+dNFBSRTf3AwDcaPb4oVpdXt3l/YCbxXTb2LVr1+qcc8455vbLL79cS5cu1QUXXKDXXntNtbW1ys3N1fTp0/XjH/84YnF0TU2NFi5cqJUrVyouLk6zZ8/WPffcowEDBoQzb7zxhhYsWKCNGzdq8ODBuvrqq3XjjTdG/M4nn3xSP/zhD7Vjxw595jOf0Z133qnzzjsvfH8oFNKiRYv0m9/8RrW1tTrrrLN0//3367Of/azxf2+0t40tLqvUVSs2d3r/sjnjKRUWaA2GdNYdL3a6j7lPUrY/Wa/c+CXFdzc3CgAQVTyHIxacfk/qmnMo+oJoForWYEgTfrJatQ3NnWYGpiboXz+cxhOUx5Vs36dLHtzQbe6P8yarcNSgKIwIAGCK53DEQp87hwK9s+H9fV2WCUna39CsDe/v6zID96s+YHZau2kOABA9PIfDBhQKS5VsNysKpjm4V1ZasqM5AED08BwOG1AorGU6k40Zb143MS9TOf5kdTZxzScpx5+siXmZ0RwWAMDAhOED5etm5rHP15YD3IpCYanCkYMdzcG94uN8WjSrbX/yo1+T2r9fNCuftTIA4EIbd9Sou9WsoVBbDnArCoWlJo8apIzUhC4zGakJmswCLysUFeRo6ZzxyvZHXhLP9idrKbt5AYBrMUUZNojpORQ4fuLjfLr9wrFdbht7+4Vj+dTaIkUFOZqWn63SihpVH2hUVlrbNCf+jQHAzZiiDO/jCoXFigpytGzOeGWnJ0Xcnp2exBkUloqP86lw1CB9ddyJKhw1iDIBAC535klm69tMc0AscIXCcnxqDQCAe7370UHj3H+MyTrOowF6h0LRB7R/ag0AANzlg/0NjuaAWGDKEwAAQIwMzUhxNAfEAlco+oDWYIgpTwAAuBBLsmEDCoXlissqtXhluSoDjeHbcvzJWjQrn0XZAADE2Ie1hxzNAbHAlCeLFZdVav6KzRFlQpKqAo2av2KzissqYzQyAAAgScMzUx3NAbFAobBUazCkxSvLO7xE2n7b4pXlag1yERUAgFj5+oRhjuaAWKBQWKq0ouaYKxNHCkmqDDSqtKImeoMCAAARfvHC247mgFigUFiq+kDnZaI3OQAA4LyKj+sdzQGxQKGwVFZasqM5AADgvJSEeEdzQCxQKCw1MS9TOf5kdbY5rE9tuz1NzMuM5rAAOKQ1GFLJ9n3625YPVbJ9H+uhAI+acWq2ozkgFtg21lLxcT4tmpWv+Ss2y6fI/avbS8aiWfmcRwF4ENtBA/Y4caDZ7k2mOSAWuEJhsaKCHC2dM17Z/shpTdn+ZC2dM543HoAHsR00YJcJwwequ8/24nxtOcCtPtUViqamJlVUVGjUqFHq14+LHW5UVJCjafnZnJTdR3Aqut262w7ap7btoKflZ/PvDnjEpp371d2MxWCoLVc4alB0BgX0UK9aQENDg66++mo99NBDkqR3331XI0eO1NVXX60TTzxRN910k6ODxKcTH+fjSagPYBqM/XqyHTSPecAb9uxv6EGOxzXcqVdTnm6++Wa9/vrrWrt2rZKTP5lOM3XqVD3++OOODQ6AGabB9A1sBw3YZ8vuWkdzQCz0qlA8/fTTuvfee3XWWWfJ5/vksvqpp56q7du3OzY4AN3jVPS+g+2gARuZTk9kGiPcq1eF4qOPPlJWVtYxt9fX10cUDADHH6ei9x1sBw3YZ9jAFEdzQCz0qlCcccYZeu6558Lft5eI3/72tyosLHRmZACMMA2m72jfDrorbAcNeIvptWOuMcPNerUo+2c/+5nOPfdclZeXq6WlRXfffbfKy8u1fv16vfTSS06PEUAXmAbTtxQV5OjKKXl68OWKiJ1h4nzSvLPzWIAPeMyHtYcczQGx0KsrFGeddZa2bNmilpYWjR07Vi+88IKysrJUUlKiCRMmOD1GAF2YmJepjNSELjMDUxOYBmOJ4rJK/WZdxTHbTIZC0m/WVbAAH/CY4ZlmB9aZ5oBY6PXhEaNGjdKDDz7o5FgAHCdcKrcD51AA9rmscIR+umprl2dRxPnacoBb9eoKxapVq/T8888fc/vzzz+vv//97596UADMlVbUqLahuctMbUMzi7ItwAJ8wD6J/eI07+y8LjPzzs5TYr9evWUDoqJX/++86aab1NraesztoVCIQ+2AKKsKmM2rNc3BvViAD9jpcycN/FT3A7HWq0Lx3nvvKT//2J1GRo8erW3btn3qQQEwV1Pf5GgO7sUCfMA+rcGQbvrrm11mbvrrm5wlBFfrVaHw+/16//33j7l927Zt6t+//6ceFABzmQOSHM3BvTiHArDPhu37jKatbti+L0ojAnquV4Xiq1/9qq655pqIU7G3bdum66+/Xueff75jgwPQvex0s0+jTXNwryPPoTi6VLR/zzkUgLf8c/tHjuaAWOhVobjzzjvVv39/jR49Wnl5ecrLy9OYMWM0aNAg/eIXv3B6jAC6MGH4QHX3/jHO15aD9xUV5GjpnPHK9kcWxGx/spbOGc85FIDH7NrX4GgOiIVebRvr9/u1fv16rV69Wq+//rpSUlJ02mmnacqUKU6PD0A3Nu3c3+V2g5IUDLXlCkcNis6gcFwVFeRoWn62SitqVH2gUVlpbdOcuDIBeE/ZnoCjOSAWen0Ohc/n0/Tp0zV9+nQnxwOgh9j5p2+Kj/NREAELtBgutjbNAbFgXCjuueceXXnllUpOTtY999zTZfa73/3upx4YADOD+5sttjbNAQCiZ/SQNO3e3/0HPqOHpEVhNEDvGBeKu+66S5deeqmSk5N11113dZrz+XwUCiCaTGe5MBsGAFznl//5OZ3+vy8Y5QC3Mi4UFRUVHf5vALH18cHDjuYAANFTXllnnGOaI9yqx7s8NTc3a9SoUdq6devxGA+AHuKwMwDwLtbBwQY9LhQJCQlqbOT/1IBbtB921hUOOwMAd+JDIdigV+dQLFiwQHfccYdaWlqcHg+AHoqP86ngxPQuMwUnprOlKAC4UPuHQp09Q/vEh0Jwv15tG7tx40atWbNGL7zwgsaOHav+/ftH3P/Xv/7VkcEB6F5TS1D/t7W6y8z/ba1WU0tQif169RkCAOA4iY/zadGsfF21YnOH94ckLZqVz4dCcLVeFYqMjAzNnj3b6bEA6IWH1u9QqJvtyUOhtty8KSOjMygAgLG/bN7d7f1FBTlRGg3Qcz0qFMFgUD//+c/17rvvqqmpSV/60pd02223KSUl5XiND0A3Sis+Ns5RKADAXQ41tWp1eddXmVeXV+tQU6tSEuOjNCqgZ3o0/+GnP/2pbrnlFg0YMEAnnnii7rnnHi1YsOB4jQ2AgYamoKM5AED0/GxVuaM5IBZ6VCgefvhh3X///Xr++ef19NNPa+XKlXr00UcVDPJGBYiV04dmOJoDAETPjn0NjuaAWOhRodi1a5fOO++88PdTp06Vz+fTnj17HB8YADNf+MxgR3MAgOgZMSjV0RwQCz0qFC0tLUpOjtwHOSEhQc3NzY4OCoC5ySMHKSM1ocvMwNQETR7JCasA4DY3Fo1xNAfEQo8WZYdCIX3rW99SUlJS+LbGxkZdddVVEVvHsm0sED3xcT7dfuHYTrcclKQlF45ly0EAcKE3PwwY5wpH8cEQ3KlHheLyyy8/5rY5c+Y4NhgAAIC+pKqu0dEcEAs9KhR/+MMfjtc4APRSazCkxSs73/3DJ2nxynJNy8/mKgUAuEx13SFHc0As9OpgO3hLazCk0ooaVR9oVFZasibmZfLG0iKlFTWqDHT+yVVIUmWgUaUVNVwutwiPa8AOW/cccDQHxAKFwnLFZZVavLI84g1njj9Zi2blc+qmJaoPmF0GN83B/XhcA/aob2pxNAfEQo92eYK3FJdVav6Kzcd8el0VaNT8FZtVXFYZo5HBSVlpyd2HepCDu/G4BuwyJN3sudk0B8QChcJS7fPqQx3c137b4pXlag12lICXTBg+UL5uZrr4fG05eBuPa8A+BSemO5oDYoFCYamezKuHt23cUaNQN+8fQ6G2HLyNxzVgnzVbqx3NAbFAobAU8+r7jpLt+xzNwb14XAP2aWhudTQHxAKFwlLMq+9LTKe3MA3G63hc902twZBKtu/T37Z8qJLt+5jSZpmRg/t3H+pBDogFdnmy1MS8TOX4k1UVaOzwbaRPUra/batJeFvhyMG69x/bjXLwNh7XfQ87etnvlvPy9ciGXUY5wK24QmGp+DifFs1qe/I5er1u+/eLZuWzb70FJo8apIzUhC4zGakJmswZFJ7H47pvYUevviElMV7DB6V0mRk+KEUpifFRGhHQcxQKixUV5GjpnPHK9kdOf8j2J2vpnPF8umWJ+Difbr9wbJeZ2y8cy5tMS/C47hvY0avvaGoJ6oOark/B/qDmkJpaglEaEdBzTHmyXFFBjqblZ3OiruWKCnK0bM543fbMW6qqOxy+PTs9SbedfypvMi3D49p+PdnRq5Crj572SMkOddcLg6G23NyzR0ZnUEAPUSj6gPg4Hy84fUBRQY4KRw7Wt5eXak+gUbn+ZP3+WxPl72Y6FLyJx7Xd2NGr79hZ0+BoDogFCgVgifPvfVlv7K4Lf18ZaNTp//uCThuarmcWnh3DkQHoKXb06juGZ6Y6mgNigTUUgAWOLhNHemN3nc6/9+UojwjAp9G+o1dnk9h8atvtiR29vO+ywhGO5oBYoFAAHnewsaXTMtHujd11OtjYEqURAfi02NGr7zBdbM2ibLgZhQLwuGsff83RHLyhqSWo3738vm79W5l+9/L7vNmwEDt69Q08h8MGrKEAPG7X/q63G+xpDu63ZFW5Hny5ImJnmJ+u2qp5Z+fpZg6/sgo7etmP53DYgEIBeNywgcl6p+qAUQ7et2RVuR5YV3HM7cGQwrdTKuzCjl52O2lgitFz+EkDuz78DoglpjwBHnfpmcMdzcG9mlqCevDlY8vEkR58uYLpT4CH3DH7dEdzQCxQKACPq2syW2xtmoN79eQALADe8NRrux3NAbFAoQA8LiPZ7OA60xzciwOwAPvwuIYNKBR9QGswpJLt+/S3LR+qZPs+tXb3ESc8ZfXWKkdzcC8OwALsw+MaNmBRtuWKyyp12zNvqarucPi27PQk3Xb+qWw5aImKfWafWpnm4F6XFY7QT1dt7XLaU5yPA7AAL/nGpOH68XNbjXKAW3GFwmLFZZW6asXmiDIhSVV1h3XVis0qLquM0cjgpNSEeEdzcK/EfnGad3Zel5l5Z+cpsR9P7YBXbPmg1tEcEAu86liqNRjSTX99s8vMTX99k+lPFjhndJajObjbzefl67+m5OnoYwjifNJ/TeEcCsBrqg80OpoDYoEpT5basH2fahuau8zUNjRrw/Z9+sJnBkdpVDge/vF2tXGOS+Z2uPm8fF0/fbQeKdmhnTUNGp6ZqssKR3BlAvCgrDSzM4JMc0AsUCgsVfL+x8Y5CoW31RtuB2uagzck9ovT3LNHxnoYAD6liXmZyvEnqyrQqI7mDPgkZfvbTkgH3IqPs6zl6z7SoxzcijUUAOBd8XE+LZrVNlXx6Ffk9u8XzcpX/NHzHAEXoVBYqnDUIEdzcK+Ts9IczQEAoquoIEdL54xXtj9yWlO2P1lL54xnV0a4HlOeLDV55CBlpCZ0uY5iYGqCJo+kUHhdv3izzwVMcwCA6CsqyNG0/GyVVtSo+kCjstLapjlxZQJewDsMS8XH+XT7hWO7zCy5cCxPVBbgahQA2CE+zqfCUYP01XEnqnDUIF6j4RkUCosVFeR0ub0kl1DtMP6kgY7mAAAAeoIpTxYrLqvUb9ZVHLNrRDAk/WZdhT530kBKhQVWbNhpnJs3hV2BbNHUEmTbWMAyPK7hVRQKS7UGQ1q8srzDLejaLV5Zrmn52VxS9bjSin3GOQqFHZasKteDL1foyHMpf7pqq+adzcF2gFfxuIaXUXstVVpRo8pA56dqhiRVBhpVWlETvUHhuOjq37k3ObjbklXlemBd5JsOqe3K4wPrKrRkVXlsBgag13hcw+soFJaqPmD25tE0B/c6ob/Z+RKmObhXU0tQD75c0WXmwZcr1NQSjNKIAHxaPK5hAwqFpbLSkrsP9SAH9woc7mpiW89zcK9HSnYc8wnm0YKhthwAb+BxDRtQKCw1MS9TOf7kTs/B9knK8bftcQ1vS0owexib5uBeO2saHM0BiD0e17AB7zAsFR/n06JZ+Z0uyg5JWjQrnwXZFmhqNrsMbpqDew3PTHU0ByD2eFzDBhQKwOM+mz3A0Rzc67LCEcecK3O0OF9bDoA3XFY4Qr5uHtc+HtdwOQqFpdq3je2MT23bxrZ2N3ETrjdycJqjObhXYr84zTs7r8vMvLPz2Lce8JD4OJ9SErreNCM1IZ4ZBXA1XnUsxbaxfcfoIWZFwTQHd7v5vHz915S8Y65UxPmk/5rCfvWA15RW1KihqbXLTH1TK6/XcDUOtrMU28b2HR/XH3Y0B/e7+bx8XT99NCfqAhbg9Ro2iOmrz7p16zRr1izl5ubK5/Pp6aefjrg/FArp1ltvVU5OjlJSUjR16lS99957EZmamhpdeumlSk9PV0ZGhubOnauDBw9GZN544w2dffbZSk5O1rBhw3TnnXceM5Ynn3xSo0ePVnJyssaOHatVq1b1eCxuwraxfUdNfZOjOXhDYr84zT17pP73qwWae/ZIygTgUbxewwYxfQWqr6/X6aefrvvuu6/D+++8807dc889WrZsmV599VX1799fM2bMUGPjJy390ksv1VtvvaXVq1fr2Wef1bp163TllVeG76+rq9P06dM1fPhwbdq0ST//+c9122236Te/+U04s379el1yySWaO3euXnvtNV1wwQW64IILVFZW1qOxuAnbxvYdA1MTHc0BAKKn/fW6K7xew+18oVDIFatyfT6fnnrqKV1wwQWS2q4I5Obm6vrrr9f3v/99SVIgENCQIUO0fPlyXXzxxdq6davy8/O1ceNGnXHGGZKk4uJinXfeedq9e7dyc3O1dOlS/c///I+qqqqUmNj2huqmm27S008/rbfffluSdNFFF6m+vl7PPvtseDyTJ0/WuHHjtGzZMqOxmKirq5Pf71cgEFB6erojf29dKS6r1PwVmyUpYvvY9pKxdM54FRXkHPdx4Pj63cvv68fPbe0296OZYzT37JFRGBGioTUYUmlFjaoPNCorre3NBos2AW868yer9dHBzq8inzAgURt/OC2KI4LtnH5P6tpr5BUVFaqqqtLUqVPDt/n9fk2aNEklJSWSpJKSEmVkZITLhCRNnTpVcXFxevXVV8OZKVOmhMuEJM2YMUPvvPOO9u/fH84c+XvaM+2/x2QsblRUkKOlc8Yr+6hPPrL9yZQJi/jizM6XMM3B/YrLKnXWHS/qkgc36Ht/2qJLHtygs+54UcVllbEeGoAeCjQ0d1kmJOmjg00KNDRHaURAz7l2UXZVVZUkaciQIRG3DxkyJHxfVVWVsrKyIu7v16+fMjMzIzJ5eXnH/Iz2+wYOHKiqqqpuf093Y+nI4cOHdfjwJwth6+rquvgvPj6KCnI0LT+bTzIt9otis7U8vyh+T9/+wsnHeTQ43tqvPB59abkq0Kj5KzbzYQHgMd9eXmqc+8t/f+E4jwboHddeobDBkiVL5Pf7w1/Dhg2LyTji43wqHDVIXx13ogpHDaJMWOaQ4QnYpjm4V/v5Mh3NU22/jfNlAG/ZU2u2FtM0B8SCawtFdna2JGnv3r0Rt+/duzd8X3Z2tqqrqyPub2lpUU1NTUSmo59x5O/oLHPk/d2NpSM333yzAoFA+OuDDz7o5r8a6Ll+8WYF0TQH9+J8GcA+acldH2rX0xwQC64tFHl5ecrOztaaNWvCt9XV1enVV19VYWGhJKmwsFC1tbXatGlTOPPiiy8qGAxq0qRJ4cy6devU3PzJ3MPVq1frlFNO0cCBA8OZI39Pe6b995iMpSNJSUlKT0+P+AKcdvH4Ex3Nwb3Yrx6wzxVfGOFoDoiFmBaKgwcPasuWLdqyZYuktsXPW7Zs0a5du+Tz+XTNNdfoJz/5iZ555hm9+eab+uY3v6nc3NzwTlBjxoxRUVGR5s2bp9LSUv3zn//UwoULdfHFFys3N1eS9I1vfEOJiYmaO3eu3nrrLT3++OO6++67dd1114XH8b3vfU/FxcX65S9/qbffflu33Xab/vWvf2nhwoWSZDQWIFZCcWYPY9Mc3Iv96gH7jBic5mgOiIWYLsr+17/+pXPOOSf8ffub/Msvv1zLly/XDTfcoPr6el155ZWqra3VWWedpeLiYiUnf/Ji+eijj2rhwoX68pe/rLi4OM2ePVv33HNP+H6/368XXnhBCxYs0IQJEzR48GDdeuutEWdVfP7zn9djjz2mH/7wh7rlllv0mc98Rk8//bQKCgrCGZOxADFhOpOJGU+e175ffVWgscN1FD617eLGfvWAd7Q/rruazsg5FHA715xD0RdE+xwK9A2cQ9G3cL4MYJ/iskpd9e/HdUeW8biGw/rMORQAzFxWOELdbdwV52vLwfs4XwYA4DauPYcCzuFEXbsl9ovTvLPz9MC6ik4z887OU2I/Pj+wBefLAPZo3w66K4tXlmtafjaPcbgWhcJyxWWVuu2Zt1RV98kBe9npSbrt/FP5JNMiJe/v+1T3w3vaz5cB4G3dbQctfbIdNI95uBUfWVqsfU7mkWVCkqrqDuuqFZtVXFYZo5HBSQcbW/TG7q5PYX9jd50ONrZEaUQAAFNVdWbbPJvmgFigUFiqNRjSTX99s8vMTX99kxN1LXDt4685mgMARE/NwcPdh3qQA2KBQmGpDdv3qbahuctMbUOzNmxnKozX7dzX4GgOABA9GamJjuaAWKBQWGr9+x87moObmV5l4moUALhNbUOTozkgFigUltqz/5CjObjXacP8juYAANGTkZLgaA6IBQqFpXIzUhzNwb0qPjKbymSaAwBET+2hrqcn9zQHxAKFwlKfHzXY0RzcKyHebF9y0xwAIHoyByQ5mgNigUJhqcmjBikjtevLoxmpCZrMntaeV1NvNq/WNAcAiJ7s9OTuQz3IAbFAobBUfJxPt184tsvM7ReO5dRNCwzqbzav1jQHb2gNhlSyfZ/+tuVDlWzfxxbQgEdNzMtUjr/rspDjT9bEvMwojQjoOU7KtlhRQY6WzRnPSdmWG5BstpWgaQ7uV1xWqcUryyNO183xJ2vRrHwe14DHxMf5tGhWvuav2Cwpcj++9o/8Fs3K5wNAuJovFArxsVaU1NXVye/3KxAIKD09PWq/tzUYUmlFjaoPNCorre1TDp6Y7PHExg90w1/e6DZ35+zT9J9nDovCiHA8FZdVav6KzcdsAtz+iF46ZzylAvAgPihANDn9npQrFH1AfJxPhayVsNbeOrPdm0xzcK/WYEiLV5Z3eKJISG2lYvHKck3Lz+ZDA8BjigpyNC0/mw8A4UmsoQA8bsWGXY7m4F6lFTURn14eLSSpMtCo0oqa6A0KANDncYUC8LiA4d7kpjm4V/WBzstEb3IA3IMpT/AyrlD0AewGY7d4n9nlcNMc3CsrzWzbSNMcAHdoXxt19BXIqkCj5q/YrOKyyhiNDDDDFQrL8YmH/UadkKo39hw0ysHbJgwfqDif1NVnAnG+thwAb2BtFGzAFQqL8YlH35CWYnZ6qmkO7rVp5/4uy4TUVjY27dwfnQEB+NRYGwUbUCgs1d0nHlLbJx5Mf/K+MTkDHM3BvarqzNZGmOYAxB5ro2ADCoWl+MSj79ixz2w7WNMc3Kvm4OHuQz3IAYg91kbBBhQKS/GJR99xsNFs9ybTHNwrPdls2ZtpDkDsta+N6gpro+B2FApL8YlH37F7v1kpNM3Bvd74MOBoDkDssTYKNqBQWGpiXqZy/F2XhRx/2ymc8Lb4OLN1MKY5uJnpDi/sBAN4xZ7aQ47mgFigUFgqPs6n80/velvY80/PYQs6C3xQYzZf3jQH9xoxyGzrX9McgNh7bZfZlQfTHBALFApLtQZDeub1rreFfeb1SnZ5skDQ4Rzc67LCEUZzrS8rHBGV8QD49CoNd2UzzQGxQKGwVHe7PEns8mSLBMNHsWkO7pXYL07zzs7rMjPv7Dwl9uMfG/CKxqZWR3NALPCqYyl2eeo7Zp2W62gO7nbzefmalp/V4X3T8rN083n5UR4RgE/jtKF+R3NALFAoLMUuT33HiBP6O5qDuxWXVWp1eXWH960ur1ZxWddTHQG4y+dHDXY0B8QChcJSE/MylZGa0GVmYGoCuzxZ4JnXPnQ0B/dqDYZ03ROvd5m5/onXWRsFeEicz2xzFNMcEAsUij6Mtxx2+MjwVGTTHNxr/baP1dDNPOr6plat3/ZxlEYE4NNiijJsQKGwVGlFjWobuj4ZubahmUXZFuhnuPWvaQ7u9ZfNux3NAYi9mvomR3NALFAoLMUnHn3HqYYL9UxzcK+GphZHcwBiL3NAkqM5IBYoFJZiUXbf0dpqNnnNNAf3OnPEIEdzAGIvO93sddg0B8QChcJSE/MyleNPVmeTXHyScvzJLMq2QL94s4exaQ7uNWfycEdzAGKv/fW6K7xew+14h2Gp+DifFs1q24/+6FLR/v2iWfmKZ1695730rtkCXNMc3GvLB7WO5gDEXvvrdVcfAPJ6DbejUFisqCBHS+eMV/ZRn3xk+5O1dM54FRXkxGhkAHqDtVGAnYoKcjR2aHqH940dms7rNVyvX6wHgOOrqCBH0/KzVVpRo+oDjcpKa7tsyicdgPewNgqw07yHN+qN3XUd3vfG7jrNe3ijHvzmmVEeFWCOQtEHxMf5VDiKRZq2Skv06UBT9wuu0xIpkV7XfmBlV1tCc2Al4C2Hmlq1ury6y8zq8modampVSmJ8lEYF9AxTngCP6+acsx7n4G3s5QV4y89WlTuaA2KBQgF4nulbSN5qeh0HVvZNrcGQSrbv09+2fKiS7fvUGuSxbJMd+xoczQGxwJQnwOMyUxNUeaDrN5ntOXgbi7L7nuKySi1eWa7KwCf/pjn+ZC2alc9CXUsMz0zRy4Y5wK24QgF4XGb/REdzcC8WZfctxWWVmr9ic0SZkKSqQKPmr9is4rLKGI0MTpo2JtvRHBALFArA47Z/bHYZ3DQH95owfKC626AtzteWg7e1BkNavLK8w4mK7bctXlnO9CcLfFzf5GgOiAUKBeBxpm8oeOPhfZt27ld3/4zBUFsO3lZaUXPMlYkjhSRVBhpZL2OBLR+YPV5Nc0AsUCgAjxtkOJXJNAf3qqw95GgO7sV6GQBeQqHoA5pagvrdy+/r1r+V6Xcvv6+mlmCshwQHNbaY7QdrmoN7bd5l9gmlaQ7uxXqZvmPEoP6O5oBYYJcnyy1ZVa4HX66ImCbx01VbNe/sPN18Xn7sBgbHHDpsVhRMc3CvnTUHHc3BvSbmZSrHn6yqQGOH6yh8krL9yRxiaIFvTBquHz+31SgHuBVXKCy2ZFW5HlhXccyc62BIemBdhZZwSI4VTJdGsITC+17bFXA0B/eKj/Np0ay2D32OXoff/v2iWfmK726VPlxvywe1juaAWKBQWKqpJagHX67oMvPgyxVMf7JAvOH7CdMc3Cto2ApNc3C3ooIcLZ0zXtn+yGlN2f5kLZ0znnMoLFEVMFvzZJoDYoEpT5Z6pGSH0W4wj5Ts0NyzR0ZnUDguGg07oWkO7nXiwBS9V11vlIMdigpyNC0/W6UVNao+0KistLZpTlyZsEeN4XawpjkgFigUltpZY3bmgGkOQOw98u3Jmnz7GqMc7BEf51PhqEGxHgaOk8wBSY7mgFhgypOlhmemOpoDEHsr3/jQ0RyA2MtON9upyzQHxAKFwlKXFY4wOlH3ssIRURkPjp8Ew5kPpjm418YdZtvBmuYAxF77jl5dyWFHL7gchcJSif3iNO/svC4z887OU2I//i/gdabLb1mm6339E+MdzQGIvfYdvXzqeEcvn9jRC+7Hu0mL3Xxevv5rSt4xVyrifNJ/TeEcCluYvsbwWuR9F44f6mgOgDuwoxe8jkXZlrv5vHxdP320HinZoZ01DRqemarLCkdwZcIi8XE+o0Mm+HTL+yaNHCSfur7a5Pt3DoC3sKMXvIxC0QfEx/mUn+vX4LQkZaUl8+RkmbZ/TwpFX7Bp5/5u/6VD/86xKxDgPezoBa+iUFiuuKxSi1eWqzLQGL4tx5+sRbPyuYRqiaZWswMmTHNwLw7AAgC4EfNeLFZcVqn5KzZHlAlJqgo0av6KzSouq4zRyOAk0+sOXJ/wvo8PHnY0BwCAEygUlmoNhrR4ZXmH0yPab1u8slytBnPv4W4DUxMczcG9ag81O5oDAMAJFApLlVbUHHNl4kghSZWBRpVW1ERvUDgugobXHkxzAAAAPUGhsFT1gc7LRG9ycC/Tq0xcjfI+f5LZVSbTHAAATmBRtqWy0ro+dbOnObhXvOGFB9Mc3Gt/Y5OjOQDu0hoMsW0sPIlCYamJeZnK8Sd3Oe0px9/2ZAVvS00wu9BomoN7VdaaXVE0zQFwD3ZlhJfxDsNS8XE+nX96109A55+ewycfFti132xHH9Mc3CtkOGvNNAfAHdiVEV5HobBUazCkZ17v+gnomdcrmVdvAdPTJTiFwvuy0hMdzQGIPXZlhA0oFJbqbpcniV2eAK/ZtGO/ozkAsceujLABhcJS7PIE2Ke+qdXRHIDY4/UaNqBQWIpdnvqOeIdzcK+hGWaPV9McgNjj9Ro2oFBYqn2Xp66wy5MdUhPMFtab5uBeE0YMcjQHIPYm5mUqI7Xrs2MyUhN4vYarUSgsxS5PfUeT4Wpr0xzc68PaBkdzALyBV2q4HYXCUq3BkB7/1+4uM0/8aze7RlhgQJLZcTKmObjX3m42WuhpDkDslVbUqLahucvM/oZmFmXD1SgUltrw/j6jJ6gN7++L0ohwvEwY6nc0B/eqqTc7Ads0ByD2WJQNG1AoLPXP9z52NAf3Kq8+6GgO7lV90OxwQtMcgNhjUTZsQKGw1Ou7ax3Nwb0am7q+EtXTHNzrhP5mB9aZ5gDEXvsmKp2tk/CJTVTgfhQKS6Ummm0SapqDex00XG1tmoN7jck1m7ZmmgMQe/FxPi2alS/p2MXX7d8vmpXPJipwNQqFpT53UoajObhXsNVsYb1pDu41bliGozkA7lBUkKOlc8Yr+6jt3rP9yVo6Z7yKCrretRGINbZ9sdTu/YcczcG9mgx7gmkO7vXG7oBx7j/PPM6DQdS0BkMqrahR9YFGZaW1TX3h02r7FBXkaFp+Nv/W8CQKhaV21pjtQ2+aAxB7H9aYLaw3zcH9issqtXhluSqP2Ao4x5+sRbPy+dQagGtQKCyVkmC2NsI0ByD2yvfWO5qDuxWXVWr+is06+uJiVaBR81dsZiqMZSiP8DLWUFgqLzPV0Rzcy/RiOBfNvS/BcOqDaQ7u1RoMafHK8mPKhKTwbYtXlnM4qSXay2PlUYdStpfH4rLKGI0MMEOhsFR51QFHc3Av07cTvO3wvhTDXdlMc3Cv0oqaY95cHikkqTLQyOnJFqA8wgYUCkuxbSxgn88Nz3A0B/fi9OS+g/IIG1AoLDVh+EBHc3Avpjz1HZ85Ic3RHNyL05P7DsojbEChADzupEyzNxSmObjXZ4eYFQXTHNyL05P7DsojbEChsNSmnbWO5uBegUMtjubgXiXb9zmag3txenLfQXmEDSgUljrUbPbm0TQH96ozLAqmObjXy+995GgO7sbpyX0D5RE24BwKS43N9euVbd1/Sjk21x+F0eB4Cjqcg3vVNRx2NAf34/TkvqG9PB59DkU251DAIygUljrrMydo6br3jXIAvOFgs1ktNM3BG+LjfCocNSjWw8BxRnmEl1EoLDV51CBlpCaotqG500xGaoIm8yIFeEa8z+yNhWkOgLtQHuFVrKGwVHycTxedMbTLzEVnDOWTDwuYniTCiSPe1xoyO9jKNAcAgBMoFJZqDYb0yIZdXWYe2bCLkzctkJpoVgpNc3CvrP4JjuYAAHAChcJS69/7WA1NrV1mGppatf69j6M0IhwvDU1mpdA0B/fqn5zoaA4AACdQKCz1l9d2O5qDe8UZPopNc3CvU3LSHc0BAOAE3mJYqrurEz3Nwb0SDNfBmObgXv0M/w1NcwAAOMHVheK2226Tz+eL+Bo9enT4/sbGRi1YsECDBg3SgAEDNHv2bO3duzfiZ+zatUszZ85UamqqsrKy9IMf/EAtLZEHfK1du1bjx49XUlKSTj75ZC1fvvyYsdx3330aMWKEkpOTNWnSJJWWlh6X/2annDnC7ERN0xzca0Cy2WZtpjm417hhAx3NAQDgBFcXCkk69dRTVVlZGf565ZVXwvdde+21WrlypZ588km99NJL2rNnjy688MLw/a2trZo5c6aampq0fv16PfTQQ1q+fLluvfXWcKaiokIzZ87UOeecoy1btuiaa67Rd77zHT3//PPhzOOPP67rrrtOixYt0ubNm3X66adrxowZqq6ujs5fQi/MmTzc0Rzcy59qNl/eNAf3OvrE5E+bAwDACa4vFP369VN2dnb4a/DgwZKkQCCg3/3ud/rVr36lL33pS5owYYL+8Ic/aP369dqwYYMk6YUXXlB5eblWrFihcePG6dxzz9WPf/xj3XfffWpqapIkLVu2THl5efrlL3+pMWPGaOHChfr617+uu+66KzyGX/3qV5o3b56uuOIK5efna9myZUpNTdXvf//76P+FGNryQa2jObjXGcPNrjKZ5uBipuvqWX8PAIgi1xeK9957T7m5uRo5cqQuvfRS7drVthXqpk2b1NzcrKlTp4azo0eP1kknnaSSkhJJUklJicaOHashQ4aEMzNmzFBdXZ3eeuutcObIn9Geaf8ZTU1N2rRpU0QmLi5OU6dODWfcaE/tIUdzcK+Ts1MdzcG9PqxtcDQHAIATXF0oJk2apOXLl6u4uFhLly5VRUWFzj77bB04cEBVVVVKTExURkZGxJ8ZMmSIqqqqJElVVVURZaL9/vb7usrU1dXp0KFD+vjjj9Xa2tphpv1ndObw4cOqq6uL+IqW13btdzQH97p79TZHc3CvP5Z2fbZMT3MAADjB1as0zz333PD/Pu200zRp0iQNHz5cTzzxhFJSUmI4MjNLlizR4sWLY/K7Kw0/oTTNwb0ONZvt1GWag3t9UGP2eDXNAQDgBFdfoThaRkaGPvvZz2rbtm3Kzs5WU1OTamtrIzJ79+5Vdna2JCk7O/uYXZ/av+8uk56erpSUFA0ePFjx8fEdZtp/RmduvvlmBQKB8NcHH3zQ4//m3tp7oMnRHNyr1bAnmObgXgcaW7oP9SAHAIATPFUoDh48qO3btysnJ0cTJkxQQkKC1qxZE77/nXfe0a5du1RYWChJKiws1JtvvhmxG9Pq1auVnp6u/Pz8cObIn9Geaf8ZiYmJmjBhQkQmGAxqzZo14UxnkpKSlJ6eHvEVLTmGu7yY5uBepg9iTz3Y0SGfz2y1tWkOAAAnuPo9xve//3299NJL2rFjh9avX6+vfe1rio+P1yWXXCK/36+5c+fquuuu0z/+8Q9t2rRJV1xxhQoLCzV58mRJ0vTp05Wfn6/LLrtMr7/+up5//nn98Ic/1IIFC5SUlCRJuuqqq/T+++/rhhtu0Ntvv637779fTzzxhK699trwOK677jo9+OCDeuihh7R161bNnz9f9fX1uuKKK2Ly92JiYt4gR3NwL5/ho9g0B/fK7J/kaA4AACe4eg3F7t27dckll2jfvn064YQTdNZZZ2nDhg064YQTJEl33XWX4uLiNHv2bB0+fFgzZszQ/fffH/7z8fHxevbZZzV//nwVFhaqf//+uvzyy/W///u/4UxeXp6ee+45XXvttbr77rs1dOhQ/fa3v9WMGTPCmYsuukgfffSRbr31VlVVVWncuHEqLi4+ZqG2m/znGcP001VbjXLwtvTkeO1r6H4+U3pyfBRGg+Pp0skn6efPv2eUAwAgWnyhUIhr41FSV1cnv9+vQCBw3Kc//c9Tb+jRV7tfs3HppGH66ddOO65jwfH1lXvWqWzPgW5zBblpeva7U6IwIhwvBxtbVHDb893mym6bwcnoAIBOOf2elEkQltqyq9bRHNzru1/6rKM5uNdjr+50NAcAgBMoFJaqbzLb0sc0B/faVt391Yme5OBeL7zV9dk3Pc0BAOAECoWlRp3Q39Ec3Osvm8y2IzbNwb0Cjc2O5gAAcAKFwlKTRpjt3mSag3vtqj3kaA7uldk/wdEcAABOoFBYakyu2QIb0xxczHRbBbZf8LxWw9POTXMAADiBQmGpyoDZp9GmObhXRorZp9GmObjX6wa7efUkBwCAEygUlvrTxl2O5uBeIwebrYMxzcG9moPO5gAAcAKFwlJ7A42O5uBeh1rN3j2a5uBePodzAAA4gUJhqRbD8wpNc3Cvd6vMpreY5uBeJ6SanXZumgMAwAkUCksNSDI7Jdc0B/c63GJWCk1zcK+EOLOrTKY5AACcQKGwlM/wvaNpDu7FNJi+48ODZg9Y0xwAAE6gUFgqKcHsn9Y0B/fqn2Q2vcU0BwAA0BO8m7RUYrzZm0fTHNyrqcVseotpDgAAoCcoFJY61NzsaA7uldjPbDKTaQ7uZVr/+ZgAABBNFApLfVhrth2saQ7uldk/ydEc3Mv0/GvOyQYARBOFwlKHmgzPJjDMwb2mnzrE0RwAAEBPUCgs1Wq4yYtpDu41eIDZlQfTHAAAQE9QKCxlOl2eafXeV3eoxdEcAABAT1AoLHVCWqKjObgYB1H0GYNSzJ6yTXMAADiBVx1LfXZImqM5uFdGilkpNM3BvRITDLeDNswBAOAECoWlfHFmH0eb5uBemakJjubgXgcPm+3fZJoDAMAJFApLfXSgydEc3Kv2kNlZIqY5uFer4aZspjkAAJxAobBUP8N/WdMc3GtgqtlUJtMc3CstyewBa5oDAMAJvOpYan+D2ZUH0xzci3/rvqPmkNlUJtMcAABOoFBYKmR4voRpDu6VkWK2NsI0B/dKMHzGNs0BAOAEXnYsFeczW2xtmoN7sYai78j1pziaAwDACRQKSw003NHHNAf3yjQ8Ads0B/eaVZDjaA4AACdQKCzVHDSby2Sag3tlpyc7moN7rXt/n6M5AACcQKGw1AmGn0ab5uBeE/MylePvuizk+JM1MS8zSiPC8VJnOG3NNAcAgBMoFJYKGL6hMM3BveLjfFo0K18+SUeviGm/bdGsfMVziKHnJRru82yaAwDACbzqWKrJ8GQr0xzcraggR0vnjFf2UVcqsv3JWjpnvIqYU2+FnAyzxdamOQAAnNAv1gPA8eFPMTvEzDQH9ysqyNG0/GyVVtSo+kCjstLapjlxZcIek/Iy9X9bq41yAABEC1coLHXl2SMdzcEb4uN8Khw1SF8dd6IKRw2iTFjm8s/nOZoDAMAJFApLFZ482NEcgNiLj/MpNTG+y0z/xHiKJAAgqigUltq0c7+jOQCxV1pRo4am1i4z9U2tKq2oidKIAACgUFirqq7R0RyA2Ks+YPZ4Nc0BAOAECoWlag4edjQHIPay0swOJzTNAQDgBAqFpTL7m+3eZJoDEHvthxh2tkLCJw4xBABEH4XCUtl+s33oTXMAYq/9EEOp40MMJQ4xBABEH4XCUuOGZTiaA+AOHGIIAHAbDraz1GOv7jTOzeUsCsBTOMQQAOAmFApL7djX4GgOgLu0H2IIAECsMeXJUqFQyNEcAAAA0BEKhaUSE5zNAQAAAB2hUFiq9P1aR3MAAABARygUtjJdm8kaTgAAAHwKFApLjc31O5oDAAAAOkKhsNRJg1IdzQEAAAAdoVBYavf+Q47mAAAAgI5QKCy1t67R0RwAAADQEQqFpYJBs/MlTHMAAABARygUlqo+cNjRHAAAANARCoWlhqQnOpoDAAAAOkKhsFRWerKjOQAAAKAjFApLZaQkOZoDAAAAOkKhsJTP8ARs0xwAAADQEQqFpQammq2NMM0BAAAAHaFQWGpwmtlUJtMcAAAA0BEKhaWyBpgVBdMcAAAA0BEKha1M10awhgIAAACfAoXCUv8/e3cf32R56H/8m7a0KdAGWixJ5cGC2yAWcKAtHYp6BFrFbqjb8QmHyvDIij8B5wObWruzIw53pmMqTLeBDt2UnamnyuoYT7pZqFKZ1gpHsIhKSpFKWgulpbl/f9TGhj6lISTpnc/79crrZZNv0yvUNPnmvu7r+uwL/zas8zcHAAAAdIZCYVJDBvh5DoWfOQAAAKAzFAqT8hhGUHMAAABAZygUJlX64aGg5gAAAIDOUChMav/ho0HNAQAAAJ2hUJjU6YMSg5oDAAAAOkOhMKlvnTkkqDkAAACgMxQKk5o8KlWD+vfrNjO4fz9NHpUaohEBAADAjCgUJhUbY9GDV4zrNrP0inGKjWFnOwAAAASOQmFieZkOrZw9UfZkq8/1DptVK2dPVF6mI0wjAwAAgFnEhXsAOLXyMh2a7rSrrKpWNfWNSkuyKisjhSMTAAAACAoKRRSIjbEoZzTnSgAAACD4mPIEAAAAIGAUCgAAAAABo1AAAAAACBiFAgAAAEDAKBQAAAAAAkahAAAAABAwCgUAAACAgFEoAAAAAASMQgEAAAAgYBQKAAAAAAGjUAAAAAAIGIUCAAAAQMAoFAAAAAACRqEAAAAAEDAKBQAAAICAUSgAAAAABCwu3AOIJoZhSJLq6urCPBIAAABEq7b3om3vTU8WhSKE6uvrJUnDhw8P80gAAAAQ7err62Wz2U76fixGsKoJeuTxeLR//34lJSXJYrGE9GfX1dVp+PDh+vjjj5WcnBzSn43Q4ncdPfhdRw9+19GD33X0COfv2jAM1dfXKz09XTExJ38GBEcoQigmJkbDhg0L6xiSk5P5AxUl+F1HD37X0YPfdfTgdx09wvW7DsaRiTaclA0AAAAgYBQKAAAAAAGjUESJhIQEFRYWKiEhIdxDwSnG7zp68LuOHvyuowe/6+hhpt81J2UDAAAACBhHKAAAAAAEjEIBAAAAIGAUCgAAAAABo1AAAAAACBiFwqQee+wxnXHGGbJarcrOzlZZWVm4h4Reuv/++2WxWHwuY8aM8ck88cQTuvDCC5WcnCyLxaLDhw/73L53717NnTtXGRkZSkxM1OjRo1VYWKimpqYQPhL4Y+nSpTr33HOVlJSktLQ0zZo1S7t27fLJXHjhhR3+n7jllls63Nfq1as1fvx4Wa1WpaWlqaCgIFQPA3547bXXlJ+fr/T0dFksFr344os+tzc3N+uuu+7SuHHjNGDAAKWnp+v73/++9u/f75P7v//7P33nO9/RkCFDlJycrPPOO0+bNm0K4SNBez39XqXW3Ynvu+8+ORwOJSYmatq0afrggw+8t/f2b/bu3buVlJSkQYMGnaJHha748ze7sbFRBQUFSk1N1cCBA3XllVfqwIEDnd7foUOHNGzYsE5fy5955hlNmDBB/fv3l8Ph0E033aRDhw6dqocWEAqFCT333HNavHixCgsLVV5ergkTJig3N1c1NTXhHhp66ayzzpLL5fJe/vGPf/jcfuTIEeXl5enHP/5xp9+/c+dOeTwe/eY3v9F7772nhx9+WCtXruwyj/DZsmWLCgoKtHXrVq1fv17Nzc2aMWOGGhoafHLz5s3z+X9i2bJlPrf/8pe/1E9+8hPdfffdeu+99/T3v/9dubm5oXwo6EFDQ4MmTJigxx57rNPbjxw5ovLyct17770qLy/XX/7yF+3atUvf/va3fXKXXXaZjh8/ro0bN2r79u2aMGGCLrvsMlVXV4fiYeAEPf1eJWnZsmVavny5Vq5cqW3btmnAgAHKzc1VY2OjpN79zW5ubtY111yj888//5Q9JnTNn7/ZixYtUnFxsdauXastW7Zo//79uuKKKzq9v7lz52r8+PEdrv/nP/+p73//+5o7d67ee+89rV27VmVlZZo3b94pe2wBMWA6WVlZRkFBgffrlpYWIz093Vi6dGkYR4XeKiwsNCZMmOBXdtOmTYYk4/PPP+8xu2zZMiMjI+PkBodTrqamxpBkbNmyxXvdBRdcYNx2221dfk9tba2RmJho/P3vfw/BCBEMkowXXnihx1xZWZkhyfjoo48MwzCMgwcPGpKM1157zZupq6szJBnr168/VcOFnzr7vXo8HsNutxsPPfSQ97rDhw8bCQkJxh//+Mcu76urv9l33nmnMXv2bGPVqlWGzWYL1tARoBP/Zh8+fNjo16+fsXbtWm/m/fffNyQZpaWlPt/7+OOPGxdccIGxYcOGDq/lDz30kDFq1Cif/PLly43TTz/91D2YAHCEwmSampq0fft2TZs2zXtdTEyMpk2bptLS0jCODIH44IMPlJ6erlGjRum6667Tvn37Tvo+3W63UlJSgjA6nEput1uSOvyunnnmGQ0ZMkSZmZlasmSJjhw54r1t/fr18ng8+vTTTzV27FgNGzZM//7v/66PP/44pGNH8LndblksFu/UltTUVH3jG9/Q008/rYaGBh0/fly/+c1vlJaWpkmTJoV3sOhUVVWVqqurfV6fbTabsrOzu3197uxv9saNG7V27dpuj4YgtE78m719+3Y1Nzf7/L7HjBmjESNG+Py+Kysr9dOf/lRPP/20YmI6vi3PycnRxx9/rHXr1skwDB04cEB//vOfdemll57iR9Q7FAqT+eyzz9TS0qKhQ4f6XD906FAOg/cx2dnZWr16tUpKSrRixQpVVVXp/PPPV319fcD3uXv3bv3617/Wf/zHfwRxpAg2j8ejhQsXasqUKcrMzPRef+2112rNmjXatGmTlixZoj/84Q+aPXu29/YPP/xQHo9HDzzwgB555BH9+c9/Vm1traZPn855M31YY2Oj7rrrLl1zzTVKTk6WJFksFv3973/X22+/raSkJFmtVv3yl79USUmJBg8eHOYRozNtr8G9eX3u7G/2oUOHdMMNN2j16tXe/x8QXp39za6urlZ8fHyH81va/76PHTuma665Rg899JBGjBjR6X1PmTJFzzzzjK666irFx8fLbrfLZrNFXJmMC/cAAHTukksu8f73+PHjlZ2drZEjR+r555/X3Llze31/n376qfLy8vS9730v8uZewkdBQYEqKio6nDNz8803e/973Lhxcjgcuvjii7Vnzx6NHj1aHo9Hzc3NWr58uWbMmCFJ+uMf/yi73a5NmzZxLkUf1NzcrH//93+XYRhasWKF93rDMFRQUKC0tDS9/vrrSkxM1G9/+1vl5+frzTfflMPhCOOoEQxd/c2eN2+err32Wk2dOjWMo0N7Xf3N7smSJUs0duxYnw+GTlRZWanbbrtN9913n3Jzc+VyuXTHHXfolltu0e9+97uTHXrQcITCZIYMGaLY2NgOqwgcOHBAdrs9TKNCMAwaNEhf//rXtXv37l5/7/79+3XRRRfpW9/6lp544olTMDoEy4IFC/Tyyy9r06ZNGjZsWLfZ7OxsSfL+P9H2JtLpdHozp512moYMGRKU6XIIrbYy8dFHH2n9+vU+n0Zv3LhRL7/8sv70pz9pypQpmjhxoh5//HElJibqqaeeCuOo0ZW212B/Xp+7+5u9ceNG/eIXv1BcXJzi4uI0d+5cud1uxcXF6fe///2pfRDooKu/2Xa7XU1NTR1WbGr/+26butb2u7z44osltb6XKywslNS6mtSUKVN0xx13aPz48crNzdXjjz+u3//+93K5XKF5kH6gUJhMfHy8Jk2apA0bNniv83g82rBhg3JycsI4MpysL774Qnv27On1J4+ffvqpLrzwQk2aNEmrVq3qdI4mws8wDC1YsEAvvPCCNm7cqIyMjB6/Z8eOHZK+KhJTpkyRJJ+lC2tra/XZZ59p5MiRwR80Tpm2MvHBBx/o73//u1JTU31ubzt35sTnc0xMjDweT8jGCf9lZGTIbrf7vD7X1dVp27ZtPq/PPf3NLi0t1Y4dO7yXn/70p0pKStKOHTt0+eWXh+zxRLue/mZPmjRJ/fr18/l979q1S/v27fP+vv/nf/5H//rXv7y/y9/+9reSpNdff9273PeRI0c6/D8QGxvrHUPECOcZ4Tg1/vSnPxkJCQnG6tWrjcrKSuPmm282Bg0aZFRXV4d7aOiF22+/3di8ebNRVVVl/POf/zSmTZtmDBkyxKipqfFmXC6X8fbbbxtPPvmkd8WXt99+2zh06JBhGIbxySefGGeeeaZx8cUXG5988onhcrm8F0SW+fPnGzabzdi8ebPP7+nIkSOGYRjG7t27jZ/+9KfGW2+9ZVRVVRkvvfSSMWrUKGPq1Kk+9/Od73zHOOuss4x//vOfxrvvvmtcdtllhtPpNJqamsLxsNCJ+vp64+233zbefvttQ5Lxy1/+0nj77be9Kzg1NTUZ3/72t41hw4YZO3bs8Pn/4dixY4ZhtK7ylJqaalxxxRXGjh07jF27dhk/+tGPjH79+hk7duwI58OLWj39Xg3DMB588EFj0KBBxksvvWS88847xne+8x0jIyPDOHr0qGEYgf3NZpWn8Ojpb7ZhGMYtt9xijBgxwti4caPx1ltvGTk5OUZOTk6X99nZio2rVq0y4uLijMcff9zYs2eP8Y9//MM455xzjKysrFP58HqNQmFSv/71r40RI0YY8fHxRlZWlrF169ZwDwm9dNVVVxkOh8OIj483Tj/9dOOqq64ydu/e7ZMpLCw0JHW4rFq1yjCM1j9End3OZwmRp6vfU9vvct++fcbUqVONlJQUIyEhwTjzzDONO+64w3C73T7343a7jZtuuskYNGiQkZKSYlx++eXGvn37wvCI0JW2Nw0nXubMmWMYhmFUVVV1+f/Dpk2bvPfz5ptvGjNmzDBSUlKMpKQkY/Lkyca6devC86DQ4+/VMFqXjr333nuNoUOHGgkJCcbFF19s7Nq1y3t7IH+zKRTh0dPfbMMwjKNHjxo//OEPjcGDBxv9+/c3Lr/88m7LYVdLwC9fvtxwOp1GYmKi4XA4jOuuu8745JNPTtEjC4zFMCLpeAkAAACAvoTJ1AAAAAACRqEAAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAADTuf/++3X22WeHexgAEBUoFAAAAAACRqEAAAAAEDAKBQAgYvz5z3/WuHHjlJiYqNTUVE2bNk0NDQ3avHmzsrKyNGDAAA0aNEhTpkzRRx995P2+Bx98UEOHDlVSUpLmzp2rxsbGMD4KAIguFAoAQERwuVy65pprdNNNN+n999/X5s2bdcUVV8gwDM2aNUsXXHCB3nnnHZWWlurmm2+WxWKRJD3//PO6//779cADD+itt96Sw+HQ448/HuZHAwDRw2IYhhHuQQAAUF5erkmTJmnv3r0aOXKk9/ra2lqlpqZq8+bNuuCCCzp837e+9S1985vf1GOPPea9bvLkyWpsbNSOHTtCMXQAiGocoQAARIQJEybo4osv1rhx4/S9731PTz75pD7//HOlpKTohhtuUG5urvLz8/WrX/1KLpfL+33vv/++srOzfe4rJycn1MMHgKhFoQAARITY2FitX79ef/3rX+V0OvXrX/9a3/jGN1RVVaVVq1aptLRU3/rWt/Tcc8/p61//urZu3RruIQMAxJQnAECEamlp0ciRI7V48WItXrzY57acnByde+65Wr58eadTnnJycnT06FGmPAFACMSFewAAAEjStm3btGHDBs2YMUNpaWnatm2bDh48qMTERC1ZskTf/va3lZ6erl27dumDDz7Q97//fUnSbbfdphtuuEHnnHOOpkyZomeeeUbvvfeeRo0aFeZHBADRgSMUAICI8P7772vRokUqLy9XXV2dRo4cqVtvvVXf+973dMstt2jbtm06dOiQHA6H5syZo8LCQsXEtM7cfeCBB/Twww+rsbFRV155pYYOHapXX32VIxQAEAIUCgAAAAAB46RsAAAAAAGjUAAAAAAIGIUCAAAAQMAoFAAAAAACRqEAAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKAAAAAAEjEIBAAAAIGBx4R5ANPF4PNq/f7+SkpJksVjCPRwAAABEIcMwVF9fr/T0dMXEnPzxBQpFCO3fv1/Dhw8P9zAAAAAAffzxxxo2bNhJ3w+FIoSSkpIktf7ykpOTwzwaAAAARKO6ujoNHz7c+970ZFEoQqhtmlNycjKFAgAAAGEVrCn4nJQNAAAAIGAUCgAAAAABo1AAAAAACBiFAgAAAEDAKBQAAAAAAkahAAAAABCwsBaKpUuX6txzz1VSUpLS0tI0a9Ys7dq1yydz4YUXymKx+FxuueUWn8y+ffs0c+ZM9e/fX2lpabrjjjt0/Phxn8zmzZs1ceJEJSQk6Mwzz9Tq1as7jOexxx7TGWecIavVquzsbJWVlfnc3tjYqIKCAqWmpmrgwIG68sordeDAgeD8YwAAAAB9UFgLxZYtW1RQUKCtW7dq/fr1am5u1owZM9TQ0OCTmzdvnlwul/eybNky720tLS2aOXOmmpqa9MYbb+ipp57S6tWrdd9993kzVVVVmjlzpi666CLt2LFDCxcu1A9+8AO9+uqr3sxzzz2nxYsXq7CwUOXl5ZowYYJyc3NVU1PjzSxatEjFxcVau3attmzZov379+uKK644hf9CAAAAQGSzGIZhhHsQbQ4ePKi0tDRt2bJFU6dOldR6hOLss8/WI4880un3/PWvf9Vll12m/fv3a+jQoZKklStX6q677tLBgwcVHx+vu+66S6+88ooqKiq833f11Vfr8OHDKikpkSRlZ2fr3HPP1aOPPipJ8ng8Gj58uG699VbdfffdcrvdOu200/Tss8/qu9/9riRp586dGjt2rEpLSzV58uQeH19dXZ1sNpvcbjcb2wEAACAsgv2eNKLOoXC73ZKklJQUn+ufeeYZDRkyRJmZmVqyZImOHDniva20tFTjxo3zlglJys3NVV1dnd577z1vZtq0aT73mZubq9LSUklSU1OTtm/f7pOJiYnRtGnTvJnt27erubnZJzNmzBiNGDHCmznRsWPHVFdX53MBAAAAzCQu3ANo4/F4tHDhQk2ZMkWZmZne66+99lqNHDlS6enpeuedd3TXXXdp165d+stf/iJJqq6u9ikTkrxfV1dXd5upq6vT0aNH9fnnn6ulpaXTzM6dO733ER8fr0GDBnXItP2cEy1dulRFRUW9/JcAAAAA+o6IKRQFBQWqqKjQP/7xD5/rb775Zu9/jxs3Tg6HQxdffLH27Nmj0aNHh3qYvbJkyRItXrzY+3VdXZ2GDx8exhEBAAAAwRURU54WLFigl19+WZs2bdKwYcO6zWZnZ0uSdu/eLUmy2+0dVlpq+9put3ebSU5OVmJiooYMGaLY2NhOM+3vo6mpSYcPH+4yc6KEhAQlJyf7XAAAAAAzCWuhMAxDCxYs0AsvvKCNGzcqIyOjx+/ZsWOHJMnhcEiScnJy9O677/qsxrR+/XolJyfL6XR6Mxs2bPC5n/Xr1ysnJ0eSFB8fr0mTJvlkPB6PNmzY4M1MmjRJ/fr188ns2rVL+/bt82YAAACAaBPWKU8FBQV69tln9dJLLykpKcl7LoLNZlNiYqL27NmjZ599VpdeeqlSU1P1zjvvaNGiRZo6darGjx8vSZoxY4acTqeuv/56LVu2TNXV1brnnntUUFCghIQESdItt9yiRx99VHfeeaduuukmbdy4Uc8//7xeeeUV71gWL16sOXPm6JxzzlFWVpYeeeQRNTQ06MYbb/SOae7cuVq8eLFSUlKUnJysW2+9VTk5OX6t8AQAAACYkhFGkjq9rFq1yjAMw9i3b58xdepUIyUlxUhISDDOPPNM44477jDcbrfP/ezdu9e45JJLjMTERGPIkCHG7bffbjQ3N/tkNm3aZJx99tlGfHy8MWrUKO/PaO/Xv/61MWLECCM+Pt7Iysoytm7d6nP70aNHjR/+8IfG4MGDjf79+xuXX3654XK5/H68brfbkNRh/AAAAECoBPs9aUTtQ2F27EMB9A0tHkNlVbWqqW9UWpJVWRkpio2xhHtYAAAERbDfk0bMKk8AEAlKKlwqKq6Uy93ovc5hs6ow36m8TEcYRwYAQGSKiFWeACASlFS4NH9NuU+ZkCSXu1Hz15SrpMIVppEBABC5KBQAoNZpTkXFlepqDqghqai4Ui0eZokCANAehQIAJJVV1XY4MnEil7tRZVW1IRoRAAB9A4UCACRVu48GNQcAQLSgUACApNqGpqDmAACIFhQKAJCUMjAhqDkAAKIFhQIAJNmTrUHNAQAQLSgUACApKyNFDlv3ZcFha93kDgAAfIVCAQCSYmMsKsx3yiLpxD2x264rzHeyYzYAACegUADAl/IyHVoxe6KGnjCtyW6zasXsieyUDQBAJygUANCB7+Z1hsFmdgAAdIVCAQBfKqlwaf6aclXXHfO5/kDdMc1fU66SCleYRgYAQOSiUACApBaPoaLiSnV2LKLtuqLiSrV4OFoBAEB7FAoAkFRWVSuXu7HL2w1JLnejyqpqQzcoAAD6AAoFAEiqqe+6TASSAwAgWlAoAEBSWpJ/G9b5mwMAIFpQKABAX21s19UuExaxsR0AAJ2hUACAvtrYTup8YzuJje0AAOgMhQIAvtS2sZ3dxsZ2AAD4Ky7cAwCASJKX6dB5Z56mRc+9rX2fH9WIwYl6+KpvaqCVP5cAAHSGV0gAaGfe029qfWWN9+td1fXKvP9VTXem6cnvnxvGkQEAEJmY8gQAXzqxTLS3vrJG855+M8QjAgAg8lEoAEDS0aaWLstEm/WVNTra1BKiEQEA0DdQKABA0gPrKoOaAwAgWlAoAEDS3kNHgpoDACBaUCgAQNLIlMSg5gAAiBYUCgCQNH2sPag5AACiBYUCACQdbmwOag4AgGhBoQAASWlJ1p5DvcgBABAtKBQAICkrI0UOm1WWLm63SHLYrMrKSAnlsAAAiHgUCgCQFBtjUWG+U5I6lIq2rwvznYqN6apyAAAQnSgUAPClvEyHbp6aIcsJncFikW6emqG8TEd4BgYAQASjUADAl0oqXHritSp5DN/rPYb0xGtVKqlwhWdgAABEMAoFAEhq8RgqKq6U0U2mqLhSLSe2DQAAohyFAgAklVXVyuVu7PJ2Q5LL3aiyqtrQDQoAgD6AQgEAkmrquy4TgeQAAIgWFAoAEPtQAAAQKAoFAIh9KAAACBSFAgDEPhQAAASKQgEAX8rLdGjF7Ik6bWA/n+tPG9hPK2ZPZB8KAAA6QaEAgHb+p/wT1XzR7HNdzRfN+p/yT8I0IgAAIhuFAgC+NO/pN7W+sqbT29ZX1mje02+GeEQAAEQ+CgUASDra1NJlmWizvrJGR5taQjQiAAD6BgoFAEh6YF1lUHMAAEQLCgUASKr67EhQcwAARAsKBQBISuzn359Df3MAAEQLXhkBQNIM59Cg5gAAiBYUCgCQNCxlQFBzAABECwoFAEjKykiRw2btNuOwWZWVkRKiEQEA0DdQKABAUmyMRYX5Tlm6uN0iqTDfqdiYrhIAAEQnCgUAfCkv06EVsyd2OFLhsFm1YvZE5WU6wjQyAAAiV1y4BwAAkSQv06HpTrvKqmpVU9+otKTWaU4cmQAAoHMUCgA4QWyMRTmjU8M9DAAA+gSmPAEAAAAIGIUCAAAAQMAoFAAAAAACRqEAAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKAAAAAAEjEIBAAAAIGAUCgAAAAABiwv3AAAg0rR4DJVV1aqmvlFpSVZlZaQoNsYS7mEBABCRKBQA0E5JhUtFxZVyuRu91zlsVhXmO5WX6QjjyAAAiExMeQKAL5VUuDR/TblPmZCkanej5q8pV0mFK0wjAwAgclEoAECt05yKiitldHJb23VFxZVq8XSWAAAgelEoAEBSWVVthyMT7RmSXO5GlVXVhm5QAAD0ARQKAJBUU991mQgkBwBAtKBQAICktCRrUHMAAEQLCgUASMrKSJHDZlVXi8Na1LraU1ZGSiiHBQBAxKNQAICk2BiLCvOdktShVLR9XZjvZD8KAABOQKEAgC/lZTq0YvZE2W2+05rsNqtWzJ7IPhQAAHSCje0AoJ28TIemO+3slA30ArvLA9GNQgEAJ4iNsShndGq4hwH0CewuD4ApTwAAICDsLg9AolAAAIAAsLs8gDYUCgAA0GvsLg+gDYUCAAD0GrvLA2hDoQAAAL3G7vIA2lAoAABAr7G7PIA2FAoAANBr7C4PoA2FAgAABITd5QFIbGwHAABOArvLA6BQAACAk8Lu8kB0Y8oTAAAAgIBRKAAAAAAEjEIBAAAAIGAUCgAAAAABC2uhWLp0qc4991wlJSUpLS1Ns2bN0q5du3wyjY2NKigoUGpqqgYOHKgrr7xSBw4c8Mns27dPM2fOVP/+/ZWWlqY77rhDx48f98ls3rxZEydOVEJCgs4880ytXr26w3gee+wxnXHGGbJarcrOzlZZWVmvxwKg72vxGCrdc0gv7fhUpXsOqcVjhHtIAABErLAWii1btqigoEBbt27V+vXr1dzcrBkzZqihocGbWbRokYqLi7V27Vpt2bJF+/fv1xVXXOG9vaWlRTNnzlRTU5PeeOMNPfXUU1q9erXuu+8+b6aqqkozZ87URRddpB07dmjhwoX6wQ9+oFdffdWbee6557R48WIVFhaqvLxcEyZMUG5urmpqavweC4C+r6TCpfN+vlHXPLlVt/1ph655cqvO+/lGlVS4wj00AAAiksUwjIj56O3gwYNKS0vTli1bNHXqVLndbp122ml69tln9d3vfleStHPnTo0dO1alpaWaPHmy/vrXv+qyyy7T/v37NXToUEnSypUrddddd+ngwYOKj4/XXXfdpVdeeUUVFRXen3X11Vfr8OHDKikpkSRlZ2fr3HPP1aOPPipJ8ng8Gj58uG699Vbdfffdfo2lJ3V1dbLZbHK73UpOTg7qvx2Ak1dS4dL8NeU68Y9i22r6bNQFADCDYL8njahzKNxutyQpJSVFkrR9+3Y1Nzdr2rRp3syYMWM0YsQIlZaWSpJKS0s1btw4b5mQpNzcXNXV1em9997zZtrfR1um7T6ampq0fft2n0xMTIymTZvmzfgzFgB9V4vHUFFxZYcyIcl7XVFxJdOfAAA4QcQUCo/Ho4ULF2rKlCnKzMyUJFVXVys+Pl6DBg3yyQ4dOlTV1dXeTPsy0XZ7223dZerq6nT06FF99tlnamlp6TTT/j56GsuJjh07prq6Op8LgMhUVlUrl7uxy9sNSS53o8qqakM3KAAA+oCIKRQFBQWqqKjQn/70p3APJWiWLl0qm83mvQwfPjzcQwLQhZr6rstEIDkAAKJFRBSKBQsW6OWXX9amTZs0bNgw7/V2u11NTU06fPiwT/7AgQOy2+3ezIkrLbV93VMmOTlZiYmJGjJkiGJjYzvNtL+PnsZyoiVLlsjtdnsvH3/8sR//GgDCIS3JGtQcAADRIqyFwjAMLViwQC+88II2btyojIwMn9snTZqkfv36acOGDd7rdu3apX379iknJ0eSlJOTo3fffddnNab169crOTlZTqfTm2l/H22ZtvuIj4/XpEmTfDIej0cbNmzwZvwZy4kSEhKUnJzscwEQmbIyUuSwWb0nYJ/IIslhsyorIyWUwwIAIOLFhfOHFxQU6Nlnn9VLL72kpKQk77kINptNiYmJstlsmjt3rhYvXqyUlBQlJyfr1ltvVU5OjndVpRkzZsjpdOr666/XsmXLVF1drXvuuUcFBQVKSEiQJN1yyy169NFHdeedd+qmm27Sxo0b9fzzz+uVV17xjmXx4sWaM2eOzjnnHGVlZemRRx5RQ0ODbrzxRu+YehoLgL4rNsaiwnyn5q8pl0XyOTm7rWQU5jsVG9NV5QAAIDqFddlYi6XzF+ZVq1bphhtukNS6mdztt9+uP/7xjzp27Jhyc3P1+OOP+0wz+uijjzR//nxt3rxZAwYM0Jw5c/Tggw8qLu6rvrR582YtWrRIlZWVGjZsmO69917vz2jz6KOP6qGHHlJ1dbXOPvtsLV++XNnZ2d7b/RlLd1g2Foh8JRUuFRVX+pyg7bBZVZjvZMlYAIApBPs9aUTtQ2F2FAqgb2jxGCqrqlVNfaPSklqnOXFkAgBgFqbehwIAAABA3xLWcygAINIw5QkAgN7hCAUAfKmkwqX5a8o7bHBX7W7U/DXlKqlwhWlkAABELgoFAKj1vImi4kp1dlJZ23VFxZVq8XDaGQAA7VEoAEBSWVVthyMT7RmSXO5GlVXVhm5QAAD0ARQKAJBUU991mQgkBwBAtKBQAICktCRrUHMAAEQLCgUASJo0crB62moixtKaAwAAX6FQAICk7R99rp7Ot/YYrTkAAPAVCgUAiHMoAAAIFIUCAMQ5FAAABIpCAQCSsjJS5LBZ1dVpFBa17pidlZESymEBABDxKBQAICk2xqLCfKckdSgVbV8X5jsV29OZ2wAARBkKBQB8KS/ToRWzJ8pu853WZLdZtWL2ROVlOsI0MgAAIldcuAcAAJEkL9Oh6U67yqpqVVPfqLSk1mlOHJkAAKBzFAoAOEFsjEU5o1PDPQwAAPoEpjwBAAAACBiFAgAAAEDAKBQAAAAAAkahAAAAABAwCgUAAACAgLHKEwCcoMVjsGwsAAB+olAAQDslFS4VFVfK5W70XuewWVWY72RjOwAAOsGUJwD4UkmFS/PXlPuUCUmqdjdq/ppylVS4wjQyAAAiF4UCANQ6zamouFJGJ7e1XVdUXKkWT2cJAACiF4UCACSVVdV2ODLRniHJ5W5UWVVt6AYFAEAfQKEAAEk19V2XiUByAABECwoFAEhKS7IGNQcAQLSgUACApKyMFDlsVnW1OKxFras9ZWWkhHJYAABEPAoFAEiKjbGoMN8pSR1KRdvXhflO9qMAAOAEFAoA+FJepkMrZk+U3eY7rclus2rF7InsQwEAQCfY2A4A2snLdGi6085O2QAA+IlCAQAnaDru0bp392vvoSM6I7W/zh4+SInxseEeFhCxWjwGJRyIYhQKAGhn3tNvan1ljffr1z+Q/rB1n6Y70/Tk988N48iAyFRS4VJRcaXPPi4Om1WF+U6mCQJRgnMoAOBLJ5aJ9tZX1mje02+GeERAZCupcGn+mvIOm0JWuxs1f025SipcYRoZgFCiUACApKNNLV2WiTbrK2t0tKklRCMCIluLx1BRcaWMTm5ru66ouFItns4SAMyEQgEAkh5YVxnUHGB2ZVW1HY5MtGdIcrkbVVZVG7pBAQgLCgUASNp76EhQc4DZ1dR3XSYCyQHouygUACDpjNT+Qc0BZpeWZO051IscgL6LQgEAkn58qTOoOcDssjJS5LBZO+ws38ai1tWesjJSQjksAGFAoQAASYnxsZruTOs2M92Zxn4UwJdiYywqzG8t2CeWiravC/Od7EcBRAEKBQB86cnvn9tlqWAfCqCjvEyHVsyeKLvNd1qT3WbVitkT2YcCiBIWwzBYzy1E6urqZLPZ5Ha7lZycHO7hAOjC0aYWPbCu0rtT9o8vdXJkAugGO2UDfUuw35NSKEKIQgEAAIBwC/Z70rggjAkATIVPWwEA8B+FAgDaKalwqai40mfDLofNqsJ8J/PBAQDoBCdlA8CXSipcmr+mvMPuv9XuRs1fU66SCleYRgYAQOSiUACAWqc5FRVXqrOTytquKyquVIuH084AAGiPQgEAksqqajscmWjPkORyN6qsqjZ0gwIAoA+gUACApJr6rstEIDkAAKIFhQIAJKUlWXsO9SIHAEC0oFAAgKSsjBT172HzugHxscrKSAnRiAAA6BsoFACg1pOyjza3dJs50tzCSdkAAJyAQgEAkv5QuldGD13BMFpzAADgKxQKAJD0Ue2RoOYAAIgWFAoAkDQypX9QcwAARAsKBQBIuurcEUHNAQAQLSgUACDpuTf3BTUHAEC0oFAAgDiHAgCAQFEoAECcQwEAQKAoFAAg6fqcM2SxdJ+xWFpzAADgKxQKAJAUG2NRYr/ud8pO7Ber2JgeWgcAAFGGQgEAksqqanWkqYedsptaVFZVG6IRAQDQN1AoAEBSTX1jUHMAAEQLCgUASEpLsgY1BwBAtKBQAICkSSMHq6fTI2IsrTkAAPAVCgUASNr+0efyGN1nPEZrDgAAfIVCAQCSqt1Hg5oDACBaUCgAQFJtQ1NQcwAARAsKBQBIShmYENQcAADRgkIBAJLsyf6t3uRvDgCAaEGhAABJZw8fFNQcAADRgkIBAJKe3fZRUHMAAEQLCgUASPrw4BdBzQEAEC0oFAAgqab+WFBzAABEi7hwDwCnXovHUFlVrWrqG5WWZFVWRopie9oSGIgyaX6ebO1vDgCAaEGhMLmSCpeKiivlcjd6r3PYrCrMdyov0xHGkQGRZdSQAUHNAQAQLZjyZGIlFS7NX1PuUyYkqdrdqPlrylVS4QrTyIDIc33OGUHNAQAQLSgUJtXiMVRUXCmjk9varisqrlSLp7MEEH38fS7wnAEAwBeFwqTKqmo7HJloz5DkcjeqrKo2dIMCItgD6yqDmgMAIFpQKEyqpr7rMhFIDjC7vYeOBDUHAEC0oFCYVFqSnyvW+JkDzO6M1P5BzQEAEC0oFCaVlZEih82qrhaHtah1taesjJRQDguIWD++1BnUHAAA0YJCYVKxMRYV5re+8TmxVLR9XZjvZD8K4EuJ8bEaPyy528z4YclKjI8N0YgAAOgbKBQmlpfp0IrZE2W3+U5rstusWjF7IvtQAO20eAwdrG/qNnOwvolVngAAOAEb25lcXqZD0512dsoGetDTymjSVyuj5YxODdGogL6hxWPwOgNEMQpFFIiNsfAGCOgBK6MBgSmpcKmouNKnkDtsVhXmOzkSDkQJpjwBgFgZDQhESYVL89eUdzi6V+1u1Pw15SqpcIVpZABCiUIBAGpdGS0+rvs/iQlxMayMBnypxWOoqLhSnZ1V1HZdUXEl5x0BUYBCAQCSmo571HTc023mmB8ZIFr0dN6Roa/OOwJgbhQKAJD0wLrKoOYAs+O8IwBtKBQAIGnvoSNBzQFmx3lHANpQKABA0hmp/YOaA8wuKyNFDpu1w+apbSxqXe2J844A86NQAICkH1/qDGoOMLvYGIsK81ufDyeWiravC/Od7EcBRAEKBQBISoyP1XRnWreZ6c40JcbHhmhEQOTLy3RoxeyJstt8pzXZbVatmD2RfSiAKGExDIP13EKkrq5ONptNbrdbycnJ4R4OgE58+9HX9c4ndR2uHz8sWf+74PwwjAiIfOyUDfQtwX5Pyk7ZAPClkgqX3u2kTEjSu5/UqaTCxSeuQCdiYyzKGZ0a7mEACJOwTnl67bXXlJ+fr/T0dFksFr344os+t99www2yWCw+l7y8PJ9MbW2trrvuOiUnJ2vQoEGaO3euvvjiC5/MO++8o/PPP19Wq1XDhw/XsmXLOoxl7dq1GjNmjKxWq8aNG6d169b53G4Yhu677z45HA4lJiZq2rRp+uCDD4LzDwEg7LrbpEtqXVOfTboAAOgorIWioaFBEyZM0GOPPdZlJi8vTy6Xy3v54x//6HP7ddddp/fee0/r16/Xyy+/rNdee00333yz9/a6ujrNmDFDI0eO1Pbt2/XQQw/p/vvv1xNPPOHNvPHGG7rmmms0d+5cvf3225o1a5ZmzZqliooKb2bZsmVavny5Vq5cqW3btmnAgAHKzc1VYyPrawNm0NMmXRKbdAEA0JmIOYfCYrHohRde0KxZs7zX3XDDDTp8+HCHIxdt3n//fTmdTr355ps655xzJEklJSW69NJL9cknnyg9PV0rVqzQT37yE1VXVys+Pl6SdPfdd+vFF1/Uzp07JUlXXXWVGhoa9PLLL3vve/LkyTr77LO1cuVKGYah9PR03X777frRj34kSXK73Ro6dKhWr16tq6++2q/HyDkUQOT6Y9lHWvKXih5zS6/I1DVZI0MwIgAATo1gvyeN+FWeNm/erLS0NH3jG9/Q/PnzdejQIe9tpaWlGjRokLdMSNK0adMUExOjbdu2eTNTp071lglJys3N1a5du/T55597M9OmTfP5ubm5uSotLZUkVVVVqbq62idjs9mUnZ3tzXTm2LFjqqur87kAiEyr/lEV1BwAANEiogtFXl6enn76aW3YsEE///nPtWXLFl1yySVqaWmRJFVXVystzXeZx7i4OKWkpKi6utqbGTp0qE+m7eueMu1vb/99nWU6s3TpUtlsNu9l+PDhvXr8AEKnvvF4UHMAAESLiF7lqf1UonHjxmn8+PEaPXq0Nm/erIsvvjiMI/PPkiVLtHjxYu/XdXV1lAogQqUPSpSr7phfOQAA8JWIPkJxolGjRmnIkCHavXu3JMlut6umpsYnc/z4cdXW1sput3szBw4c8Mm0fd1Tpv3t7b+vs0xnEhISlJyc7HMBEJl+f0NWUHMAAESLPlUoPvnkEx06dEgOR+s68Dk5OTp8+LC2b9/uzWzcuFEej0fZ2dnezGuvvabm5mZvZv369frGN76hwYMHezMbNmzw+Vnr169XTk6OJCkjI0N2u90nU1dXp23btnkzAPo2W/9+Gpna/dGHkamJsvXvF6IRAX1Hi8dQ6Z5DemnHpyrdc4jllYEoE9YpT1988YX3aIPUevLzjh07lJKSopSUFBUVFenKK6+U3W7Xnj17dOedd+rMM89Ubm6uJGns2LHKy8vTvHnztHLlSjU3N2vBggW6+uqrlZ6eLkm69tprVVRUpLlz5+quu+5SRUWFfvWrX+nhhx/2/tzbbrtNF1xwgf77v/9bM2fO1J/+9Ce99dZb3qVlLRaLFi5cqJ/97Gf62te+poyMDN17771KT0/3WZUKQN+Wd5Zdv3mt65Ou887q+ogkEK1KKly6/38rVV331bLL9mSr7v+2k40ggSgR1mVjN2/erIsuuqjD9XPmzNGKFSs0a9Ysvf322zp8+LDS09M1Y8YM/ed//qfPydG1tbVasGCBiouLFRMToyuvvFLLly/XwIEDvZl33nlHBQUFevPNNzVkyBDdeuutuuuuu3x+5tq1a3XPPfdo7969+trXvqZly5bp0ksv9d5uGIYKCwv1xBNP6PDhwzrvvPP0+OOP6+tf/7rfj5dlY4HI1XTcozH3/lXdfbAaY5F2/uclio/rUwd3gVOmpMKlW9aUd3n7ytkTKRVABAr2e9KI2YciGlAogMj1u9c/1H++8n6PuXtnjtXc80eFYERAZGvxGJr0s/U6fKS5y8zg/v301j3TFRtjCeHIAPQk6vahAIBQ+Kj2SFBzgNlt/fBQt2VCkj4/0qytHx7qNgOg76NQAICkkSn9g5oDzK50j39Fwd8cgL6LQgEAkq7NHhnUHGB+/s6YZmY1YHYUCgCQVL7v86DmALPLGTUkqDkAfReFAgDE9A2gtyaPTtWgHvZlGdS/nyaPTg3RiACEC4UCACQxfQPondgYix68Yly3mQevGMcKT0AUoFAAgJi+AQQiL9OhlbMnyp6c4HO9PTmBPSiAKBLWnbIBIFJMHDk4qDkgWuRlOjTdaVdZVa1q6huVlmRVVkYKRyaAKEKhAABJz277yO8cG9sBvmJjLMrhXAkgajHlCQAkffhZQ1BzAABEC45QAICkmrrGoOaAaNLiMZjyBEQxCgUASEo74aTSk80B0aKkwqWi4kq53F+VbYfNqsJ8JydlA1GCKU8AIGnUkIFBzQHRoKTCpflryn3KhCRVuxs1f025SipcYRoZgFCiUACApO9OGh7UHGB2LR5DRcWVne7M0nZdUXGlWjzs3QKYHYUCACT94m87g5oDzK6sqrbDkYn2DEkud6PKqmpDNygAYUGhAABJVX6u3uRvDjC7mno/FzLwMweg76JQAICkxH6xQc0BZpeWZA1qDkDfRaEAAEm5Z9mDmgPMLisjRQ6bVV0tDmtR62pPWRkpoRwWgDCgUACApNMH9w9qDjC72BiLCvOdktShVLR9XZjvZD8KIApQKABA0qSRg2Xp4X2PxdKaA9AqL9OhFbMnym7zndZkt1m1YvZE9qEAogQb2wGApDf31sroYXVLw2jNTTlzSGgGBfQBeZkOTXfa2SkbiGInVSiamppUVVWl0aNHKy6ObgKg7yrdc8jvHIUC8BUbY1HO6NRwDwNAmAQ05enIkSOaO3eu+vfvr7POOkv79u2TJN1666168MEHgzpAAAiF456WoOYAAIgWARWKJUuW6F//+pc2b94sq/WreZPTpk3Tc889F7TBAUCo1B85HtQcAADRIqB5Si+++KKee+45TZ48WZZ2ZzGeddZZ2rNnT9AGBwChUl1/LKg5AACiRUBHKA4ePKi0tLQO1zc0NPgUDADoKw7U+bebr785AACiRUCF4pxzztErr7zi/bqtRPz2t79VTk5OcEYGACFkT04Iag4AgGgR0JSnBx54QJdccokqKyt1/Phx/epXv1JlZaXeeOMNbdmyJdhjBIBTLnvUEP1950G/cgAA4CsBHaE477zztGPHDh0/flzjxo3T3/72N6Wlpam0tFSTJk0K9hgB4JS7JmtEUHMAAESLgDePGD16tJ588slgjgUAwua5N/f5nZt7/qhTPBoAAPqOgI5QrFu3Tq+++mqH61999VX99a9/PelBAUCoVR1qCGoOAIBoEVChuPvuu9XS0nFzJ8MwdPfdd5/0oAAg5Iwg5wAAiBIBFYoPPvhATqezw/VjxozR7t27T3pQABBqAxP8mwHqbw4AgGgRUKGw2Wz68MMPO1y/e/duDRgw4KQHBQCh5nIfDWoOAIBoEVCh+M53vqOFCxf67Iq9e/du3X777fr2t78dtMEBQKhY5N+mnP7mAACIFgEVimXLlmnAgAEaM2aMMjIylJGRobFjxyo1NVW/+MUvgj1GADjlhgz0b8M6f3MAAESLgCYD22w2vfHGG1q/fr3+9a9/KTExUePHj9fUqVODPT4ACIktH9T4nbtHHc8hAwAgWgV8dqHFYtGMGTM0Y8aMYI4HAMKi/mhzUHMAAEQLvwvF8uXLdfPNN8tqtWr58uXdZv/f//t/Jz0wAAilpMR+qq5v8isHAAC+4nehePjhh3XdddfJarXq4Ycf7jJnsVgoFAD6nAu+cZo+qOl507oLvnFaCEYDAEDf4XehqKqq6vS/AcAMrHGxQc0BABAter3KU3Nzs0aPHq3333//VIwHAMIiZ9SQoOaAaNLiMVS655Be2vGpSvccUouHLeWBaNLrk7L79eunxsbGUzEWAAibyaNTFR8Xo6bjni4zCXExmjw6NYSjAiJfSYVLRcWVcrm/em/gsFlVmO9UXqYjjCMDECoB7UNRUFCgn//85zp+/HiwxwMAYdHiMdTc0nWZkKSmFg+fvALtlFS4NH9NuU+ZkKRqd6PmrylXSYUrTCMDEEoBLRv75ptvasOGDfrb3/6mcePGacCAAT63/+UvfwnK4AAgVP5QuldGD13BMFpzc88fFZpBARGsxWOoqLhSnT1tDEkWSUXFlZrutCs2hh3mATMLqFAMGjRIV155ZbDHAgBh8381dUHNAWZXVlXb4chEe4Ykl7tRZVW1ymGqIGBqvSoUHo9HDz30kP7v//5PTU1N+rd/+zfdf//9SkxMPFXjA4CQePujw0HNAWZXU+/f+ZT+5gD0Xb06h+K//uu/9OMf/1gDBw7U6aefruXLl6ugoOBUjQ0AQsjfKRlM3QAkKS3JGtQcgL6rV4Xi6aef1uOPP65XX31VL774ooqLi/XMM8/I4+n+REYAiHQjU/sHNQeYXVZGihw2a5cV26LW1Z6yMlJCOSwAYdCrQrFv3z5deuml3q+nTZsmi8Wi/fv3B31gABBKD1/1zaDmALOLjbGoMN8pqeNxu7avC/OdnJANRIFeFYrjx4/LavU9dNmvXz81NzcHdVAAEGqJ8bHq6X1PjKU1B6BVXqZDK2ZPlN3m+97AbrNqxeyJ7EMBRIlenZRtGIZuuOEGJSQkeK9rbGzULbfc4rN0LMvGAuhrtn54SD1tMeExWnNTzmS3bKBNXqZD0512lVXVqqa+UWlJrdOcODIBRI9eFYo5c+Z0uG727NlBGwwAhMtrH9T4naNQAL5iYywsDQtEsV4VilWrVp2qceAUajru0R9K9+qj2iMamdJf1+ecofi4gDZJB0zrnx8c8j93ySkeDNDHtHgMjlAAUSygje3QdyxdV6knX6/ymcrxX+ve17zzM7TkUmf4BgZEnB7mO/U6B0SHkgqXioorfTa5c9isKsx3cg4FECX4mNrElq6r1G9eq+owL9xjSL95rUpL11WGZ2BABLLb/Nug098cEA1KKlyav6a8w47Z1e5GzV9TrpIKV5hGBiCUKBQm1XTcoydfr+o28+TrVWo6zh4igCT925i0oOYAs2vxGCoqruz0mF3bdUXFlWrpabUDAH0ehcKk/lC6168Va/5Qujck4wEi3cad/p2U7W8OMLuyqtoORybaMyS53I0qq6oN3aAAhAWFwqQ+qj0S1BxgdtXdvDEKJAeYXU29f88Ff3MA+i4KhUmNTOkf1BxgdrbEfkHNAWaXlmTtOdSLHIC+i0JhUtfnnOHXrr/X55wRkvEAke7m80YFNQeYXVZGihw2q7p6qbGodbWnrIyUUA4LQBhQKEwqPi5G887P6DYz7/wM9qMAvnTeN07r8fkQHxej875xWohGBES22BiLCvNblx8/sVS0fV2Y72Q/CiAK8G7SxL45YvBJ3Q5Ek9gYiy74evc7YF/w9SG8OQLayct0aMXsibLbfKc12W1WrZg9kX0ogCjBxnYm1bacX1csal3Ob7rTzhskQK1LLW94v/sVnDa8X6Om4x6O7AHt5GU6NN1pZ6dsIIrxqmhSLOcH9A5LLQOBi42xKGd0qr5z9unKGZ1KmQCiDIXCpFjOD+gdlloGACAwFAqTYjk/oHdYahkAgMBQKEyK5fyA3pk+1h7UHAAA0YJCYVIs5wf0zhUr/hHUHAAA0YJCYWIs5wf4r67xeFBzAABEC5aNNTmW8wP8k2yN02cNzX7lAADAV3hljAJty/kB6NpPZnxDi16o8CsHAAC+wpQnAJD0u237gpoDACBaUCgAQNLhI01BzQEAEC0oFAAgKbFfbFBzAABEC86hAABJ6YMS9MHBBr9yAHw1HffoD6V79VHtEY1M6a/rc85QfByfWQLRgkIBAJIONfi3HKy/OSBaLF1XqSdfr5LH+Oq6/1r3vuadn6EllzrDNzAAIcPHBwAgddiv5WRzQDRYuq5Sv3nNt0xIkseQfvNalZauqwzPwACEFIUCACRNHDE4qDnA7JqOe/Tk61XdZp58vUpNxz0hGhGAcKFQAICkfbVfBDUHmN0fSvd2ODJxIo/RmgNgbhQKAJBU8WldUHOA2X1UeySoOQB9F4UCACRJliDnAHMbmdI/qDkAfReFAgAknXfmkKDmALO7PucMxfTQr2MsrTkA5kahAABJ53/9tKDmALOLj4vRvPMzus3MOz+D/SiAKMCzHADEKk9AIJZc6tR0Z1qnt013prEPBRAlKBQAIGnN1o+CmgOiQUmFS3+vrOn0tr9X1qikwhXiEQEIBwoFAEgqqzoU1Bxgdi0eQ0XFlepu5dii4kq19LS2LIA+j0IBAJJc7sag5gCzK6uq7fb5YKj1+VJWVRu6QQEICwoFAEganODfp6j+5gCzq6n3r1z7mwPQd1EoAEDSv1z+bb7lbw4wu7Qka1BzAPouCgUASGpu8e/Ig785wOyyMlLksFm73OrRIslhsyorIyWUwwIQBhQKAJCU0j8+qDnA7GJjLCrM735Z2MJ8p2J72v0OQJ9HoQAASf8+6fSg5oBokJfp0M1TMzrsmB1jkW6emqG8TEd4BgYgpCgUACCppqE5qDkgGpRUuPTEa1U6cWVYw5CeeK2KfSiAKEGhAABJNXV+rljjZw4wu+72oWi7jn0ogOhAoQAASUOS/Ds3wt8cYHbsQwGgDYUCACTFxfj359DfHGB27EMBoE1YXxlfe+015efnKz09XRaLRS+++KLP7YZh6L777pPD4VBiYqKmTZumDz74wCdTW1ur6667TsnJyRo0aJDmzp2rL774wifzzjvv6Pzzz5fVatXw4cO1bNmyDmNZu3atxowZI6vVqnHjxmndunW9HguAvmvCsEFBzQFmxz4UANqEtVA0NDRowoQJeuyxxzq9fdmyZVq+fLlWrlypbdu2acCAAcrNzVVj41efdlx33XV67733tH79er388st67bXXdPPNN3tvr6ur04wZMzRy5Eht375dDz30kO6//3498cQT3swbb7yha665RnPnztXbb7+tWbNmadasWaqoqOjVWCJVi8dQ6Z5DemnHpyrdc4j5rEAn3Ef9O9na3xxgduxDAaCNxTCMiHh3abFY9MILL2jWrFmSWo8IpKen6/bbb9ePfvQjSZLb7dbQoUO1evVqXX311Xr//ffldDr15ptv6pxzzpEklZSU6NJLL9Unn3yi9PR0rVixQj/5yU9UXV2t+PjWuc933323XnzxRe3cuVOSdNVVV6mhoUEvv/yydzyTJ0/W2WefrZUrV/o1Fn/U1dXJZrPJ7XYrOTk5KP9uPSmpcKmouNJnnqvDZlVhvpPl/IB2Ht38vn5R8mGPuR/ljdKCC8eGYERA5CupcGn+mnJJ8jk5u61krJg9kdcaIAIF+z1pxE4GrqqqUnV1taZNm+a9zmazKTs7W6WlpZKk0tJSDRo0yFsmJGnatGmKiYnRtm3bvJmpU6d6y4Qk5ebmateuXfr888+9mfY/py3T9nP8GUtnjh07prq6Op9LKLX9oT/xpLlqd6PmrylnOT+gnf/2o0z0JgdEg7xMh1bMnii7zXdak91mpUwAUSQu3APoSnV1tSRp6NChPtcPHTrUe1t1dbXS0tJ8bo+Li1NKSopPJiMjo8N9tN02ePBgVVdX9/hzehpLZ5YuXaqioqKeH+wp0NNyfha1Luc33WlnF1NA6vS5cjI5IFrkZTo03WlXWVWtauoblZbUOs2J1xYgekTsEQozWLJkidxut/fy8ccfh+xns5wfACBUYmMsyhmdqu+cfbpyRqdSJoAoE7GFwm63S5IOHDjgc/2BAwe8t9ntdtXU1Pjcfvz4cdXW1vpkOruP9j+jq0z723saS2cSEhKUnJzscwkVlvMDeid7WFJQcwAARIuILRQZGRmy2+3asGGD97q6ujpt27ZNOTk5kqScnBwdPnxY27dv92Y2btwoj8ej7Oxsb+a1115Tc/NXK7OsX79e3/jGNzR48GBvpv3Pacu0/Rx/xhJpWM4P6J2kpMSg5gAAiBZhLRRffPGFduzYoR07dkhqPfl5x44d2rdvnywWixYuXKif/exn+t///V+9++67+v73v6/09HTvSlBjx45VXl6e5s2bp7KyMv3zn//UggULdPXVVys9PV2SdO211yo+Pl5z587Ve++9p+eee06/+tWvtHjxYu84brvtNpWUlOi///u/tXPnTt1///166623tGDBAknyayyRhuX8gN4ZmpwQ1BwAANEirCdlv/XWW7rooou8X7e9yZ8zZ45Wr16tO++8Uw0NDbr55pt1+PBhnXfeeSopKZHV+tWn6s8884wWLFigiy++WDExMbryyiu1fPly7+02m01/+9vfVFBQoEmTJmnIkCG67777fPaq+Na3vqVnn31W99xzj3784x/ra1/7ml588UVlZmZ6M/6MJZLExlhUmO/U/DXlsqjz5fwK853McwW+NGrIwKDmAACIFhGzD0U0YB8KIHI1HffoG/f8tdtVnCySdv3sEsXHRexsUQAAehTs96QRu2wsgoPl/AD/xMZY1D8+Vg1NLV1m+ifE8twBAOAEfMwGAGpdarm7MiFJDcdaWGoZ6ESLx1DpnkN6acenKt1zSC0eJj8A0YQjFCbHlCfAPx8davA7lzM69RSPBug7Sipcuv9/K1Vd99XrjD3Zqvu/zesMEC04QmFiJRUuzV9T3mGDO5e7UfPXlKukwhWmkQGR5/f/+DCoOSAalFS4dMuacp8yIUnVdY26hdcZIGpQKEyqxWOoqLiyyxNMDUlFxZUclga+dPhIU1BzgNm1eAzd/Zd3u80s+cu7vM4AUYBCYVJlVbUdjkycyOVuZD448CV/3/Pw3ghotfXDQzp8pLnbzOdHmrX1w0MhGhGAcKFQmFS1+2hQc4DZZQzpH9QcYHale/wrCv7mAPRdFAqTqm3wb1qGvznA7NxHjwc1B5ifv4frOKwHmB2FwqRSBiYENQeYXcoAP58zfuYAs8sZNSSoOQB9F4XCpOzJ1qDmALOrbTgW1BxgdpNHp2pQ/37dZgb176fJLLMMmB6FwqSyMlLksHVfFhy21l2zAUhDBsYHNQeYXWyMRQ9eMa7bzINXjGN3eSAKUChMKjbGosJ8Z7eZwnwnf+iBL2WcNjCoOSAa5GU6tHL2RNmTfacC2pMTtHL2RDa2A6IEO2UDgKSLx9j1zLaP/coB+EpepkPTnXaVVdWqpr5RaUmtR7/5wAqIHhQKk2rb2K4rFrVubDfdaeePPiCpdM9Bv3P/NjbtFI8G6FtiYyzK4VwJIGox5cmketrYzhAb2wHtvfSv/UHNAQAQLSgUJlVT3/0u2b3NAWZXd7T7HX97mwMAIFow5cmk0pL8Ww7W3xxgdv7O/GOGINBRi8fgHAogilEoTKpt2dhqd2One5RaJNlZNhbwGpqUoKrano/YDU1iYzugvZIKl4qKK32m2TpsVhXmO1nlCYgSTHkyqfbLxp74GVHb1ywbC3zF0+GZcnI5IBqUVLg0f015h3P2qt2Nmr+mXCUVrjCNDEAoUShMLC/ToRWzJ8p+wgZ3dptVK1gfHPCRGB8b1Bxgdm2rCXZ2FLztuqLiSrV4OksAMBOmPJkc64MD/qn382Rrf3OA2fVmNUGWlAXMjUIRBVgfHOhZnFqCmgPMjtUEAbRhyhMASKr+wr+i4G8OMDtWEwTQhiMUUYDl/ICeefyc5+1vDjA7VhME0IZCYXIs5wf4p9nPnuBvDjC7ttUE568pl0XyKRWsJghEF6Y8mRjL+QEATiVWEwQgcYTCtHpazs+i1uX8pjvtfHoEAAgYqwkCoFCYFMv5Ab1zxmCr9n7e82o0ZwzmBFPgRKwmCEQ3pjyZFMv5Ab0zInVgUHMAAEQLCoVJDRmQENQcYHYfHHAHNQcAQLSgUJjU8RZPUHOA2X1+9HhQcwAARAsKhUm9sOPToOYAs2MfCgAAAkOhMKkjTf59iupvDjC7lIH9gpoDACBaUChMatJI/3Ym9TcHmF1iP/+Kgr85AACiBYXCpMbYk4KaA8xu4ohBQc0BABAtKBQm9ebez4OaA8zuL2/vD2oOAIBoQaEwLX9PHOUEU0DiGQMAQKAoFCaVM2pIUHMAAABAZygUJjV5dKr6x8d2mxkQH6vJo1NDNCIgsqUmdv986W0OAIBoQaEwsfi47n+9/Xq4HYgmI4b0D2oOAIBowTtKkyqrqtXhI83dZg4faVZZVW2IRgREtopP64OaAwAgWlAoTKqmvjGoOcDsmj3BzQEAEC0oFCaVlmQNag4AAADoDIXCpCaNHKwYS/eZGEtrDoDUw9Ol1zkAAKIFhcKktn/0uTw9LJjvMVpzANiHAgCAQFEoTMp1+GhQc4DZxfl56MHfHAAA0YJCYVLl+/w78uBvDjA7i59Fwd8cEE1aPIZK9xzSSzs+VemeQ2rp6RA5AFOJC/cAcGocqPNv9SZ/c4DZtfi5epO/OSBalFS4VFRcKZf7q9cTh82qwnyn8jIdYRwZgFDhCIVJDUjwryv6mwPMzt+eQJ8AvlJS4dL8NeU+ZUKSqt2Nmr+mXCUVrjCNDEAoUShM6vKzTw9qDgCA9lo8hoqKKztdqKDtuqLiSqY/AVGAQmFScbH+/Wr9zQEA0F5ZVW2HIxPtGZJc7kaVVdWGblAAwoJ3kybFTtkAgFOJ1xkAbSgUJvXZF8eCmgMAoL20JGtQcwD6LgqFSR0+2hzUHGB27JQN9E5WRoocNmuXzwmLWld7yspICeWwAIQBhcKkLH6+7fE3B5hdfGxwc4DZxcZYVJjvlNSxaLd9XZjvVGwMrzOA2VEoTCpndGpQc4DZxfr5nsffHBAN8jIdWjF7ouw232lNdptVK2ZPZB8KIEqwCYFJnXtGiiwWyehmtT6LpTUHQPLIInW6AGZnOQBt8jIdmu60q6yqVjX1jUpLap3mxJEJIHpwhMKktn/0ebdlQmotG9s/+jw0AwIinL9r5bOmPgAAvjhCYVLV7qNBzQFm11MB720OiBYlFS4VFVf67EnhsFlVmO9kyhMQJThCYVIsGwsAONVKKlyav6a8wwZ31e5GzV9TrpIKV5hGBiCUKBQmxbKxQO8MGdAvqDnA7Fo8hoqKKzs986jtuqLiSqYJAlGAQgEAkjwW/04g9TcHmF1ZVW2HIxPtGZJc7kaVVdWGblAAwoJCYVK2BP8+RfU3B5gdJ2UDvVNT33WZCCQHoO+iUJjU541NQc0BZsc+FEDvpCVZew71Igeg76JQmJTrsH+fCPmbA8yufz///hz6mwPMLisjRQ6btcudWSxqXe0pK4P9jgCz45XRpFgCE+idfZ/7t+KZvznA7GJjLCrMd0pSh1LR9nVhvpMN7oAoQKEwqdMH+3eI2d8cYHaeIOeAaJCX6dCK2RNlt/m+lthtVq2YPZF9KIAowcZ2JjVp+OCg5gAA6ExepkPTnXaVVdWqpr5RaUmt05w4MgFEDwqFSf3xrX1+5y4+y36KRwMAMLPYGItyRqeGexgAwoRCYVIfHToS1BwAAACCo8VjmOqoHoXCpPz9X7Lv/q8LAADQ95RUuFRUXOmzMaTDZlVhvrPPnnfESdkm9c2R/p0b4W8OMLvYIOcAADhRSYVL89eUd9hlvtrdqPlrylVS4QrTyE4OhcKk4iz+HXvwNweYXYKf+0v4mwMAoL0Wj6Gi4kp1tmJ/23VFxZVq8fS9Nf15ZTQpd2NzUHOA2Q1O9O/Yg785AADaK6uq7XBkoj1DksvdqLKq2tANKkg4h8Kk/q+6Pqg5wOwON7YENQdEE7OdYAqcCjX1XZeJQHKRhEJhUh4/D5f5mwPMzmjxb8s6f3NAtDDjCabAqZCW5N9mwv7mIglTnkyK+eBA73j8PJ/I3xwQDcx6gilwKmRlpMhhs3a5wqZFrWU8KyMllMMKCt5NmtRpAxOCmgPMzvDzaJ2/OcDszHyCKXAqxMZYVJjvlNRx2f62rwvznX1yuiCFwqQ+7eakn0BygNkd83Mmk785wOzMfIIpcKrkZTq0YvZE2W2+05rsNqtWzJ7YZ6cJcg6FSXla/Dtx1N8cAADtmfkEU+BUyst0aLrTbqqFDCgUJnWwwb/lYP3NAQDQnplPMAVOtdgYi3JGp4Z7GEHDlCeTivHzxFF/c4DZ+fvHkD+aQCszn2AKoHd4bTSphFj/ioK/OcDsUhL9ey74mwPMzswnmALoHQqFSQ3u799sNn9zgNl9dtS/lWj8zQHRoO0E06HJvisGDk1O6NMnmALoHQqFScXE+lcU/M0BANC1ro5RAIgGFAqTaj7u3+pN/uYAADhR28Z21XW+KzkdqGNjOyCaUChMKi7Gv1+tvznA7Kx+PhX8zQFmx8Z2ANrw0mhSR5v9O/Lgbw4wu0Y/N6zzNweYHRvbAWhDoTCp5ITYoOYAAGiPje0AtKFQmNSBhqag5gAAaI+N7QC0oVCYVIuf0zL8zQEA0B4b2wFoQ6EwKXuyf58I+ZsDAKA9NrYD0IZCYVK3Th0d1BwAACdq29jObvP9cMpus7KxHRBF2NXMpDbv+czvXO7Z6ad4NAAAs8rLdGi6066yqlrV1DcqLal1mhNHJoDowREKk9padSioOcDs+vn519DfHAAA0YIjFCbVz89PhvzNAWY3qH+cDn5x3K8cgK+UVLhUVFzpsyeFw2ZVYb6TKU9AlIjoz9ruv/9+WSwWn8uYMWO8tzc2NqqgoECpqakaOHCgrrzySh04cMDnPvbt26eZM2eqf//+SktL0x133KHjx33fNGzevFkTJ05UQkKCzjzzTK1evbrDWB577DGdccYZslqtys7OVllZ2Sl5zMEyaeTgoOYAs7P2868o+JsDokFJhUvz15R32OCu2t2o+WvKVVLhCtPIAIRSRBcKSTrrrLPkcrm8l3/84x/e2xYtWqTi4mKtXbtWW7Zs0f79+3XFFVd4b29padHMmTPV1NSkN954Q0899ZRWr16t++67z5upqqrSzJkzddFFF2nHjh1auHChfvCDH+jVV1/1Zp577jktXrxYhYWFKi8v14QJE5Sbm6uamprQ/CMEYNJI/5bp8zcHmJ1hBDcHmF2Lx1BRcaU6e0q0XVdUXKkWD08awOwivlDExcXJbrd7L0OGDJEkud1u/e53v9Mvf/lL/du//ZsmTZqkVatW6Y033tDWrVslSX/7299UWVmpNWvW6Oyzz9Yll1yi//zP/9Rjjz2mpqbWDd1WrlypjIwM/fd//7fGjh2rBQsW6Lvf/a4efvhh7xh++ctfat68ebrxxhvldDq1cuVK9e/fX7///e9D/w/iJ/fR5qDmALNLS0oIag4wu7Kq2g5HJtozJLncjSqrqg3doACERcQXig8++EDp6ekaNWqUrrvuOu3bt0+StH37djU3N2vatGne7JgxYzRixAiVlpZKkkpLSzVu3DgNHTrUm8nNzVVdXZ3ee+89b6b9fbRl2u6jqalJ27dv98nExMRo2rRp3kwkSrL6Ny3D3xxgdv92VmpQc4DZ1dR3XSYCyQHouyK6UGRnZ2v16tUqKSnRihUrVFVVpfPPP1/19fWqrq5WfHy8Bg0a5PM9Q4cOVXV1tSSpurrap0y03d52W3eZuro6HT16VJ999plaWlo6zbTdR1eOHTumuro6n0uovPpe92PrbQ4wu1/97cOg5gCzS0vyb2NUf3MA+q6I/nj6kksu8f73+PHjlZ2drZEjR+r5559XYmJiGEfmn6VLl6qoqCgsP/uDA/VBzQFm1+wJbg4wu6yMFDlsVlW7Gzs9j8Ki1g3usjI4Vw8wu4g+QnGiQYMG6etf/7p2794tu92upqYmHT582Cdz4MAB2e12SZLdbu+w6lPb1z1lkpOTlZiYqCFDhig2NrbTTNt9dGXJkiVyu93ey8cff9zrxxyoQw3+nRvhbw4AgPZiYywqzHd2mynMd7LBHRAF+lSh+OKLL7Rnzx45HA5NmjRJ/fr104YNG7y379q1S/v27VNOTo4kKScnR++++67Pakzr169XcnKynE6nN9P+PtoybfcRHx+vSZMm+WQ8Ho82bNjgzXQlISFBycnJPpdQSfRz9y1/cwAAnCgv06Gbp2boxM4QY5FunprBPhRAlIjod5M/+tGPtGXLFu3du1dvvPGGLr/8csXGxuqaa66RzWbT3LlztXjxYm3atEnbt2/XjTfeqJycHE2ePFmSNGPGDDmdTl1//fX617/+pVdffVX33HOPCgoKlJDQulLLLbfcog8//FB33nmndu7cqccff1zPP/+8Fi1a5B3H4sWL9eSTT+qpp57S+++/r/nz56uhoUE33nhjWP5d/DFh+KCg5gAAOFFJhUtPvFalE1eG9RjSE69VsQ8FECUi+hyKTz75RNdcc40OHTqk0047Teedd562bt2q0047TZL08MMPKyYmRldeeaWOHTum3NxcPf74497vj42N1csvv6z58+crJydHAwYM0Jw5c/TTn/7Um8nIyNArr7yiRYsW6Ve/+pWGDRum3/72t8rNzfVmrrrqKh08eFD33XefqqurdfbZZ6ukpKTDidqR5KHvnq2JP1vvVw6AlBArHWvxLweg+30opNZlY4uKKzXdaWfaE2ByFsNgm6ZQqaurk81mk9vtPuXTn558bY/+a93OHnM/uXSM5k0dfUrHAvQFl/7qNVW6el6kwOlI0rrbpoZgREBkK91zSNc8ubXH3B/nTVbOaJZbBiJJsN+TRvSUJwRum58bCfmbA8wub4x/Rxz9zQFmV+0+GtQcgL6LQmFS1d3sXhpIDjC70qrPgpoDzK62oSmoOQB9F4XCpNKS44OaA8zuw0MNQc0BZpcyMCGoOQB9F4XCpNKS/PsD7m8OMLtjzceDmgPMzp7s3w7Y/uYA9F0UCpOqb/RjuZpe5ACzO9zo3/oU/uYAs2vbKbs7DnbKBqIChcKkdrnqgpoDAKC9tp2yLZJOXBS27Tp2ygaiA4XCpD71c1UNf3MAAJwoL9OhFbMnyn7CkQq7zaoVsyeyUzYQJSJ6YzsErum4f9My/M0BANCZvEyHpjvtKquqVU19o9KSWqc5cWQCiB4UCgAAcFJiYyxsXgdEMaY8mdSAfv59MuRvDgAAAOgMhQIAAABAwCgUJnXUz3Mj/M0BAAAAnaFQmJQnyDkAAACgMxQKk/L3bHvOygcAAMDJoFCYVIufM5n8zQEAAACdoVCYFIUCAAAAoUChMKk4P3+z/uYAAACAzvB20qT6+fmb9TcHmJ2/TwWeMgAA+OK10aRiY/371fqbA8yOldEAAAgM7yZNKt7PouBvDgAAAOgM7yZN6qzTbUHNAWbHlCcAAALDa6NJ1TY0BzUHmJ2/B+s4qAcAgC9eGk2KVZ6A3rHGWYKaAwAgWvB20qQ+P9IU1Bxgdg3N/m3K4m8OAIBoQaEwKcPP9zz+5gCzi/HzueBvDgCAaEGhMKkYi3/TMvzNAWZn698vqDkAAKIFhcKkBvv5psffHGB2544YHNQcAADRgkJhUs0e/+Zl+JsDzO7D2oag5gAAiBYUCpMammwNag4wO4+f5drfHAAA0YJCYVJDBiYENQeYXUK/2KDmAACIFhQKk/rk8yNBzQFm5xiUGNQcAADRgkJhUnWNx4OaA8wuOyMlqDkAAKIFhcKkJgyzBTUHmN2cb2UENQcAQLSgUJjU3Zc4g5oDzC42xqL+8d2fHzEgPlaxMezdAgBAexQKk3r3U3dQc4DZlVXV6khTS7eZhqYWlVXVhmhEAAD0DRQKk6quawxqDjC7mnr/ngv+5gAAiBZx4R4ATo3aL44FNQeYXVqSf3uy+JsDokmLx1BZVa1q6huVlmRVVkYK0wOBKEKhMKmUAfFBzQFml5WRIofNqmp3ozrbus4iyW5rfaME4CslFS4VFVfK5f7q6J3DZlVhvlN5mY4wjgxAqDDlyaTsNv/Wyvc3B5hdbIxFhfmtixSc+Llq29eF+U4+dQXaKalwaf6acp8yIUnV7kbNX1OukgpXmEYGIJQoFCY1aeRg9fS+J8bSmgPQKi/ToRWzJ8pu853WZLdZtWL2RD5tBdpp8RgqKq7s9Iie8eWlqLhSLZ7OEgDMhClPJrX9o8/V099wj9GayxmdGppBAX1AXqZD05125oMDPSirqu1wZOJELnejyqpqeZ0BTI5CYVKsWAMELjbGwhsgoAesJgigDVOeTIoVawAAp9Jn9f6tEuhvDkDfRaEwqayMlB53/e0fH8uKNQCAgHx+xL+i4G8OQN9FoTCpFo+ho83d7/p7tLmFk+UAAAHy97wizj8CzI5CYVJ/KN0ro4euYBitOQAAemtwf//2MfI3B6DvolCY1Ee1R4KaAwCgvcH9+wU1B6DvolCY1MiU/kHNAQDQ3r8+ORzUHIC+i0JhUtfnnOHXxnbX55wRkvEAAMzF33PwOFcPMD8KhUnFx8Vo3vkZ3WbmnZ+h+Dj+FwAA9F6Nn8vB+psD0HexsZ2JLbnUKUl68vUqn12zYyytZaLtdgAAesvj55EHf3MA+i4KhcktudSp22eM0R9K9+qj2iMamdJf1+ecwZEJAMBJ4QgFgDYUiigQHxejueePCvcwAAAmMjQ5XhX7/csBMDc+pgYAAL2WlmwNag5A30WhAAAAvTYoMSGoOQB9F4UCAAD0mqWHpcl7mwPQd1EoAABArw3u79+5Ef7mAPRdFAoAANBrQ5L8m8rkbw5A30WhAAAAvWb382Rrf3MA+i4KBQAA6LVJIwcrpofzI2IsrTkA5kahAAAAvbb9o8/V0ybYHqM1B8DcKBQAAKDXqt1Hg5oD0HdRKAAAQK999kVTUHMA+i4KBQAA6LXahmNBzQHouygUAACg11zuxqDmAPRdFAoAANBrpw9KDGoOQN9FoQAAAL32rTOHBDUHoO+iUAAAgF6bPCpVg/r36zYzuH8/TR6VGqIRAQgXCgUAAOi12BiLHrxiXLeZpVeMU2xPu98B6PMoFAAAICB5mQ6tnD1R9mSrz/UOm1UrZ09UXqYjTCMDEEpx4R4AAADou/IyHZrutKusqlY19Y1KS7IqKyOFIxNAFKFQAACAkxIbY1HOaM6VAKIVU54AAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKAAAAAAEjEIBAAAAIGAUCgAAAAABo1AAAAAACBiFAgAAAEDAKBQAAAAAAkahAAAAABAwCgUAAACAgMWFewDRxDAMSVJdXV2YRwIAAIBo1fZetO296cmiUIRQfX29JGn48OFhHgkAAACiXX19vWw220nfj8UIVjVBjzwej/bv36+kpCRZLJaQ/uy6ujoNHz5cH3/8sZKTk0P6s4G+iOcM0Ds8Z4DeCedzxjAM1dfXKz09XTExJ38GBEcoQigmJkbDhg0L6xiSk5P5Qw/0As8ZoHd4zgC9E67nTDCOTLThpGwAAAAAAaNQAAAAAAgYhSJKJCQkqLCwUAkJCeEeCtAn8JwBeofnDNA7ZnrOcFI2AAAAgIBxhAIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKCLca6+9pvz8fKWnp8tisejFF1/skDEMQ/fdd58cDocSExM1bdo0ffDBB97b9+7dq7lz5yojI0OJiYkaPXq0CgsL1dTU1OnP3L17t5KSkjRo0KBT9KiAyPPYY4/pjDPOkNVqVXZ2tsrKysI9JCBs7r//flksFp/LmDFjfDJPPPGELrzwQiUnJ8tisejw4cM+t/f2tQfoS5YuXapzzz1XSUlJSktL06xZs7Rr1y6fTGNjowoKCpSamqqBAwfqyiuv1IEDBzq9v0OHDmnYsGGdPpeeeeYZTZgwQf3795fD4dBNN92kQ4cOnaqHFhAKRYRraGjQhAkT9Nhjj3WZWbZsmZYvX66VK1dq27ZtGjBggHJzc9XY2ChJ2rlzpzwej37zm9/ovffe08MPP6yVK1fqxz/+cYf7am5u1jXXXKPzzz//lD0mINI899xzWrx4sQoLC1VeXq4JEyYoNzdXNTU14R4aEDZnnXWWXC6X9/KPf/zD5/YjR44oLy+v09cSqXevPUBfs2XLFhUUFGjr1q1av369mpubNWPGDDU0NHgzixYtUnFxsdauXastW7Zo//79uuKKKzq9v7lz52r8+PEdrv/nP/+p73//+5o7d67ee+89rV27VmVlZZo3b94pe2wBMdBnSDJeeOEFn+s8Ho9ht9uNhx56yHvd4cOHjYSEBOOPf/xjl/e1bNkyIyMjo8P1d955pzF79mxj1apVhs1mC9bQgYiWlZVlFBQUeL9uaWkx0tPTjaVLl4ZxVED4FBYWGhMmTPAru2nTJkOS8fnnn/eY7eq1B+jrampqDEnGli1bDMNofS/Wr18/Y+3atd7M+++/b0gySktLfb738ccfNy644AJjw4YNHZ5LDz30kDFq1Cif/PLly43TTz/91D2YAHCEoo+rqqpSdXW1pk2b5r3OZrMpOztbpaWlXX6f2+1WSkqKz3UbN27U2rVruz0aAphNU1OTtm/f7vMciomJ0bRp07p9DgFm98EHHyg9PV2jRo3Sddddp3379p30fXb22gOYgdvtliTv/9/bt29Xc3Ozz2vLmDFjNGLECJ/XlsrKSv30pz/V008/rZiYjm/Lc3Jy9PHHH2vdunUyDEMHDhzQn//8Z1166aWn+BH1DoWij6uurpYkDR061Of6oUOHem870e7du/XrX/9a//Ef/+G97tChQ7rhhhu0evVqJScnn7oBAxHms88+U0tLS6+eQ4DZZWdna/Xq1SopKdGKFStUVVWl888/X/X19QHfZ2evPYAZeDweLVy4UFOmTFFmZqak1vdn8fHxHc5Hbf/acuzYMV1zzTV66KGHNGLEiE7ve8qUKXrmmWd01VVXKT4+Xna7XTabLeI+/KVQRJlPP/1UeXl5+t73vucz/27evHm69tprNXXq1DCODgAQCS655BJ973vf0/jx45Wbm6t169bp8OHDev755wO6v65eewAzKCgoUEVFhf70pz/16vuWLFmisWPHavbs2V1mKisrddttt+m+++7T9u3bVVJSor179+qWW2452WEHFYWij7Pb7ZLUYdWAAwcOeG9rs3//fl100UX61re+pSeeeMLnto0bN+oXv/iF4uLiFBcXp7lz58rtdisuLk6///3vT+2DAMJoyJAhio2N9es5BESrQYMG6etf/7p2797d6+/t7rUH6OsWLFigl19+WZs2bdKwYcO819vtdjU1NXVYsan9a0vbVPO2914XX3yxpNbXpcLCQkmtq0lNmTJFd9xxh7fgP/744/r9738vl8sVmgfpBwpFH5eRkSG73a4NGzZ4r6urq9O2bduUk5Pjve7TTz/VhRdeqEmTJmnVqlUd5umVlpZqx44d3stPf/pTJSUlaceOHbr88stD9niAUIuPj9ekSZN8nkMej0cbNmzweQ4B0eyLL77Qnj175HA4evV9Pb32AH2VYRhasGCBXnjhBW3cuFEZGRk+t0+aNEn9+vXzeW3ZtWuX9u3b531t+Z//+R/961//8r73+u1vfytJev3111VQUCCpdTW1E583sbGx3jFEirhwDwDd++KLL3w+EaqqqtKOHTuUkpKiESNGyGKxaOHChfrZz36mr33ta8rIyNC9996r9PR0zZo1S9JXf9BHjhypX/ziFzp48KD3/tpa8tixY31+7ltvvaWYmBjvXEDAzBYvXqw5c+bonHPOUVZWlh555BE1NDToxhtvDPfQgLD40Y9+pPz8fI0cOVL79+9XYWGhYmNjdc0113gz1dXVqq6u9r5Gvfvuu0pKStKIESOUkpLi12sP0FcVFBTo2Wef1UsvvaSkpCTveRE2m02JiYmy2WyaO3euFi9erJSUFCUnJ+vWW29VTk6OJk+eLEkaPXq0z31+9tlnklrfk7Wde5Gfn6958+ZpxYoVys3Nlcvl0sKFC5WVlaX09PTQPeCehHmVKfSgbTm+Ey9z5szxZjwej3HvvfcaQ4cONRISEoyLL77Y2LVrl/f2VatWdXof3f36WTYW0ebXv/61MWLECCM+Pt7Iysoytm7dGu4hAWFz1VVXGQ6Hw4iPjzdOP/1046qrrjJ2797tkyksLOz0dWXVqlWGYQT22gP0FV39v932/79hGMbRo0eNH/7wh8bgwYON/v37G5dffrnhcrm6vM+ulmBevny54XQ6jcTERMPhcBjXXXed8cknn5yiRxYYi2FE0PESAAAAAH0KkxkBAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKAAAYXXhhRdq4cKFvfoei8WiF198scvb9+7dK4vFoh07dpzU2AAAPaNQAAAAAAgYhQIAAABAwCgUAICw83g8uvPOO5WSkiK73a7777/fe9sHH3ygqVOnymq1yul0av369R2+v6ysTN/85jdltVp1zjnn6O233w7h6AEgusWFewAAADz11FNavHixtm3bptLSUt1www2aMmWKLr74Yl1xxRUaOnSotm3bJrfb3eF8iy+++EKXXXaZpk+frjVr1qiqqkq33XZbeB4IAEQhCgUAIOzGjx+vwsJCSdLXvvY1Pfroo9qwYYMMw9DOnTv16quvKj09XZL0wAMP6JJLLvF+77PPPiuPx6Pf/e53slqtOuuss/TJJ59o/vz5YXksABBtmPIEAAi78ePH+3ztcDhUU1Oj999/X8OHD/eWCUnKycnxyb7//vsaP368rFZrlxkAwKlDoQAAhF2/fv18vrZYLPJ4PGEaDQCgNygUAICINXbsWH388cdyuVze67Zu3doh884776ixsbHLDADg1KFQAAAi1rRp0/T1r39dc+bM0b/+9S+9/vrr+slPfuKTufbaa2WxWDRv3jxVVlZq3bp1+sUvfhGmEQNA9KFQAAAiVkxMjF544QUdPXpUWVlZ+sEPfqD/+q//8skMHDhQxcXFevfdd/XNb35TP/nJT/Tzn/88TCMGgOhjMQzDCPcgAAAAAPRNHKEAAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgFAoAAAAAAaNQAAAAAAgYhQIAAABAwCgUAAAAAAJGoQAAAAAQMAoFAAAAgIBRKAAAAAAEjEIBAAAAIGAUCgAAAAABo1AAAAAACBiFAgAAAEDAKBQAAAAAAhYX7gFEE4/Ho/379yspKUkWiyXcwwEAAEAUMgxD9fX1Sk9PV0zMyR9foFCE0P79+zV8+PBwDwMAAADQxx9/rGHDhp30/VAoQigpKUlS6y8vOTk5zKMBAABANKqrq9Pw4cO9701PFoUihNqmOSUnJ1MoAAAAEFbBmoLPSdkAAAAAAkahAAAAABAwCgUAAACAgFEoAAAAAASMQgEAAAAgYBQKAAAAAAELa6FYunSpzj33XCUlJSktLU2zZs3Srl27fDIXXnihLBaLz+WWW27xyezbt08zZ85U//79lZaWpjvuuEPHjx/3yWzevFkTJ05UQkKCzjzzTK1evbrDeB577DGdccYZslqtys7OVllZmc/tjY2NKigoUGpqqgYOHKgrr7xSBw4cCM4/BgAAANAHhbVQbNmyRQUFBdq6davWr1+v5uZmzZgxQw0NDT65efPmyeVyeS/Lli3z3tbS0qKZM2eqqalJb7zxhp566imtXr1a9913nzdTVVWlmTNn6qKLLtKOHTu0cOFC/eAHP9Crr77qzTz33HNavHixCgsLVV5ergkTJig3N1c1NTXezKJFi1RcXKy1a9dqy5Yt2r9/v6644opT+C8EAAAARDaLYRhGuAfR5uDBg0pLS9OWLVs0depUSa1HKM4++2w98sgjnX7PX//6V1122WXav3+/hg4dKklauXKl7rrrLh08eFDx8fG666679Morr6iiosL7fVdffbUOHz6skpISSVJ2drbOPfdcPfroo5Ikj8ej4cOH69Zbb9Xdd98tt9ut0047Tc8++6y++93vSpJ27typsWPHqrS0VJMnT+7x8dXV1clms8ntdrOxHQAAAMIi2O9JI+ocCrfbLUlKSUnxuf6ZZ57RkCFDlJmZqSVLlujIkSPe20pLSzVu3DhvmZCk3Nxc1dXV6b333vNmpk2b5nOfubm5Ki0tlSQ1NTVp+/btPpmYmBhNmzbNm9m+fbuam5t9MmPGjNGIESO8mRMdO3ZMdXV1PhcAAADATOLCPYA2Ho9HCxcu1JQpU5SZmem9/tprr9XIkSOVnp6ud955R3fddZd27dqlv/zlL5Kk6upqnzIhyft1dXV1t5m6ujodPXpUn3/+uVpaWjrN7Ny503sf8fHxGjRoUIdM28850dKlS1VUVNTLfwkAAACg74iYQlFQUKCKigr94x//8Ln+5ptv9v73uHHj5HA4dPHFF2vPnj0aPXp0qIfZK0uWLNHixYu9X9fV1Wn48OFhHBEAAAAQXBEx5WnBggV6+eWXtWnTJg0bNqzbbHZ2tiRp9+7dkiS73d5hpaW2r+12e7eZ5ORkJSYmasiQIYqNje000/4+mpqadPjw4S4zJ0pISFBycrLPBQAAADCTsBYKwzC0YMECvfDCC9q4caMyMjJ6/J4dO3ZIkhwOhyQpJydH7777rs9qTOvXr1dycrKcTqc3s2HDBp/7Wb9+vXJyciRJ8fHxmjRpkk/G4/Fow4YN3sykSZPUr18/n8yuXbu0b98+bwYAAACINmGd8lRQUKBnn31WL730kpKSkrznIthsNiUmJmrPnj169tlndemllyo1NVXvvPOOFi1apKlTp2r8+PGSpBkzZsjpdOr666/XsmXLVF1drXvuuUcFBQVKSEiQJN1yyy169NFHdeedd+qmm27Sxo0b9fzzz+uVV17xjmXx4sWaM2eOzjnnHGVlZemRRx5RQ0ODbrzxRu+Y5s6dq8WLFyslJUXJycm69dZblZOT49cKTwAAAIApGWEkqdPLqlWrDMMwjH379hlTp041UlJSjISEBOPMM8807rjjDsPtdvvcz969e41LLrnESExMNIYMGWLcfvvtRnNzs09m06ZNxtlnn23Ex8cbo0aN8v6M9n79618bI0aMMOLj442srCxj69atPrcfPXrU+OEPf2gMHjzY6N+/v3H55ZcbLpfL78frdrsNSR3GDwAAAIRKsN+TRtQ+FGbHPhQwsxaPobKqWtXUNyotyaqsjBTFxljCPSwAAHCCYL8njZhVngD0XSUVLhUVV8rlbvRe57BZVZjvVF6mI4wjAwAAp1pErPKEU6vFY6h0zyG9tONTle45pBYPB6UQPCUVLs1fU+5TJiSp2t2o+WvKVVLhCtPIAABAKHCEwuT45BinUovHUFFxpTqrqIYki6Si4kpNd9qZ/gQAgElxhMLE+OQYp1pZVW2H/7/aMyS53I0qq6oN3aAAAEBIUShMqqdPjqXWT46Z/oSTUVPfdZkIJAcAAPoeCoVJ8ckxQiEtyRrUHAAA6HsoFCbFJ8cIhayMFDlsVnV1doRFrefsZGWkhHJYAAAghCgUJsUnxwiF2BiLCvOdktShVLR9XZjv5IRsAABMjEJhUnxyjFDJy3RoxeyJstt8y6ndZtWK2RNZTQwAAJNj2ViTavvkeP6aclkkn5Oz+eQYwZaX6dB0p52dsgEAiEIWwzBY5idEgr3NuT9KKly6/38rVV3HPhQAAAAI/ntSpjxFBd/OSIcEAABAsFAoTKxtY7vqumM+1x+oO8bGdgAAAAgKCoVJsbEdAAAAQoFCYVJsbAcAAIBQoFCYFBvbAQAAIBQoFCbFxnYAAAAIBQqFSbGxHQAAAEKBQmFSbRvbSepQKtjYDgAAAMFCoTCxvEyHVsyeKLvNd1qT3WbVitkT2dgOAAAAJy0u3APAqZWX6dB0p11lVbWqqW9UWlLrNCeOTAAAACAYKBRRIDbGopzRqeEeBgCclBaPwYcjAEyh6bhHfyjdq49qj2hkSn9dn3OG4uP67sQhCgUAIOKVVLhUVFzps7+Ow2ZVYb6T6ZsA+pSl6yr15OtVar+38H+te1/zzs/Qkkud4RvYSei7VQh+a/EYKt1zSC/t+FSlew6xOzaAPqWkwqX5a8o7bNZZ7W7U/DXlKqlwhWlkANA7S9dV6jev+ZYJSfIY0m9eq9LSdZXhGdhJ4giFyfGpHoC+rMVjqKi4Up19DGKoddW6ouJKTXfamf4EIKI1Hffoyderus08+XqVbp8xps9Nf+pbo0Wv8KkegL6urKq2w9+w9gxJLnejyqpqQzcoAAjAH0r3djgycSKP0ZrraygUJtXTp3pS66d6TH8CEMlq6rsuE4HkACBcPqo9EtRcJKFQmBSf6gEwg7Qka8+hXuQAIFxGpvQPai6SUChMik/1AJhBVkaKHDarujo7wqLW88KyMlJCOSwA6LXrc85QT6d6xVhac30NhcKk+FQPgBnExlhUmN+6jOKJr8NtXxfmOzkhG0DEi4+L0bzzM7rNzDs/o8+dkC1RKEyLT/UAmEVepkMrZk+U3eb7AYjdZtWK2RNZsQ5An7HkUqf+Y2pGhyMVMRbpP6b23X0oLIZhcFZuiNTV1clms8ntdis5OfmU/7y2VZ4k+Zyc3fb/MC/EAPoSs+0sCyB6hfvvWbDfk1IoQijUhUJiHwoA5sDfMgAIHgpFHxaOQiG1LiFbVlWrmvpGpSW1TnNivjGAvqLtaOuJL1YcbQWAwAT7PSk7ZUeB2BiLckanhnsYANBr7JQNAJGPyacAgIjFnjoAEPkoFACAiMWeOgAQ+SgUAICIxZ46ABD5KBQAgIjFnjoAEPkoFACAiMVO2QAQ+SgUUeBoU4vuffFdXf+7bbr3xXd1tKkl3EMCAL+xUzYARDb2oQihcOxDMe/pN7W+sqbD9dOdaXry++eGZAwAEAzsqQMAwcHGdn1YqAtFV2WiDaUCAABfFFdEAza2g1+ONrV0WyYkaX1ljY42tSgxPjZEowIAIHKVVLhUVFzps/eJw2ZVYb6TqXVANziHwqQeWFcZ1BwAAGZWUuHS/DXlHTZSrHY3av6acpVUuMI0MiDyUShMau+hI0HNAQBgVi0eQ0XFlepsDnjbdUXFlWrxMEsc6AyFwqTOSO0f1BwAAGZVVlXb4chEe4Ykl7tRZVW1oRsU0IdQKEzqx5c6g5oDAMCsauq7LhOB5IBoQ6EwqcT4WE13pnWbme5M44RsAEDUS0uy9hzqRQ6INhQKE3vy++d2WSpYMhYAgFZZGSly2KwddmNvY1Hrak9ZGSmhHBbQZ7BsrMk9+f1zdbSpRQ+sq9TeQ0d0Rmp//fhSJ0cmAAD4UmyMRYX5Ts1fUy6L5HNydlvJKMx3sh8F0AU2tguhcOyUDQAA/MM+FIgWbGwHAABwCuRlOjTdaWenbKCXKBQAAABfio2xKGd0ariHAfQpnJQNAAAAIGAUCgAAAAABo1AAAAAACBiFAgAAAEDAKBQAAAAAAkahAAAAABAwCgUAAACAgFEoAAAAAASMQgEAAAAgYBQKAAAAAAGjUAAAAAAIGIUCAAAAQMAoFAAAAAACRqEAAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgceEeAE69Fo+hsqpa1dQ3Ki3JqqyMFMXGWMI9LAAAAJgAhcLkSipcKiqulMvd6L3OYbOqMN+pvExHGEcGAAAAM2DKk4mVVLg0f025T5mQpGp3o+avKVdJhStMIwMAAIBZUChMqsVjqKi4UkYnt7VdV1RcqRZPZwkAAADAPxQKkyqrqu1wZKI9Q5LL3aiyqtrQDQoAAACmQ6EwqZr6rstEIDkAAACgMxQKk0pLsgY1BwAAAHSGQmFSWRkpctis6mpxWItaV3vKykgJ5bAAAABgMhQKk4qNsagw3ylJHUpF29eF+U72owAAAMBJoVCYWF6mQytmT5Td5jutyW6zasXsiexDAQAAEAYtHkOlew7ppR2fqnTPoT6/6iYb25lcXqZD0512dsoGAACIAGbcdNhiGEbfrkR9SF1dnWw2m9xut5KTk8M9HAAAAIRQ26bDJ775bvuYN1QzSIL9npQpTwAAAMApZuZNhykUAAAAwClm5k2HKRQAAADAKWbmTYcpFAAAAMApZuZNhykUAAAAwClm5k2HKRQAAADAKWbmTYcpFAAAAEAImHXTYTa2AwAAAELEjJsOUygAAACAEIqNsShndGq4hxE0THkCAAAAEDAKBQAAAICAUSgAAAAABIxCAQAAACBgYS0US5cu1bnnnqukpCSlpaVp1qxZ2rVrl0+msbFRBQUFSk1N1cCBA3XllVfqwIEDPpl9+/Zp5syZ6t+/v9LS0nTHHXfo+PHjPpnNmzdr4sSJSkhI0JlnnqnVq1d3GM9jjz2mM844Q1arVdnZ2SorK+v1WAAAAIDutHgMle45pJd2fKrSPYfU4jHCPaSTEtZCsWXLFhUUFGjr1q1av369mpubNWPGDDU0NHgzixYtUnFxsdauXastW7Zo//79uuKKK7y3t7S0aObMmWpqatIbb7yhp556SqtXr9Z9993nzVRVVWnmzJm66KKLtGPHDi1cuFA/+MEP9Oqrr3ozzz33nBYvXqzCwkKVl5drwoQJys3NVU1Njd9jAQAAALpTUuHSeT/fqGue3Krb/rRD1zy5Vef9fKNKKlzhHlrALIZhREwlOnjwoNLS0rRlyxZNnTpVbrdbp512mp599ll997vflSTt3LlTY8eOVWlpqSZPnqy//vWvuuyyy7R//34NHTpUkrRy5UrdddddOnjwoOLj43XXXXfplVdeUUVFhfdnXX311Tp8+LBKSkokSdnZ2Tr33HP16KOPSpI8Ho+GDx+uW2+9VXfffbdfY+lJXV2dbDab3G63kpOTg/pvBwAAgMhWUuHS/DXlOvHNd9sOFKHa3C7Y70kj6hwKt9stSUpJSZEkbd++Xc3NzZo2bZo3M2bMGI0YMUKlpaWSpNLSUo0bN85bJiQpNzdXdXV1eu+997yZ9vfRlmm7j6amJm3fvt0nExMTo2nTpnkz/owFAAAA6EyLx1BRcWWHMiHJe11RcWWfnP4UMYXC4/Fo4cKFmjJlijIzMyVJ1dXVio+P16BBg3yyQ4cOVXV1tTfTvky03d52W3eZuro6HT16VJ999plaWlo6zbS/j57GcqJjx46prq7O5wIAAIDoU1ZVK5e7scvbDUkud6PKqmpDN6ggiZhCUVBQoIqKCv3pT38K91CCZunSpbLZbN7L8OHDwz0kAAAAhEFNfddlIpBcJImIQrFgwQK9/PLL2rRpk4YNG+a93m63q6mpSYcPH/bJHzhwQHa73Zs5caWltq97yiQnJysxMVFDhgxRbGxsp5n299HTWE60ZMkSud1u7+Xjjz/2418DAAAAZpOWZA1qLpKEtVAYhqEFCxbohRde0MaNG5WRkeFz+6RJk9SvXz9t2LDBe92uXbu0b98+5eTkSJJycnL07rvv+qzGtH79eiUnJ8vpdHoz7e+jLdN2H/Hx8Zo0aZJPxuPxaMOGDd6MP2M5UUJCgpKTk30uAAAAiD5ZGSly2KzeE7BPZJHksFmVlZESymEFRVw4f3hBQYGeffZZvfTSS0pKSvKei2Cz2ZSYmCibzaa5c+dq8eLFSklJUXJysm699Vbl5OR4V1WaMWOGnE6nrr/+ei1btkzV1dW65557VFBQoISEBEnSLbfcokcffVR33nmnbrrpJm3cuFHPP/+8XnnlFe9YFi9erDlz5uicc85RVlaWHnnkETU0NOjGG2/0jqmnsQAAAACdiY2xqDDfqflrymWRfE7ObisZhflOxcZ0VTkiV1iXjbVYOv8HW7VqlW644QZJrZvJ3X777frjH/+oY8eOKTc3V48//rjPNKOPPvpI8+fP1+bNmzVgwADNmTNHDz74oOLivupLmzdv1qJFi1RZWalhw4bp3nvv9f6MNo8++qgeeughVVdX6+yzz9by5cuVnZ3tvd2fsXSHZWMBAACiW0mFS0XFlT4naDtsVhXmO0OyZKwU/PekEbUPhdlRKAAAANDiMVRWVaua+kalJbVOcwrlkYlgvycN65QnAAD8Fe4XYAAIltgYi3JGp4Z7GEFDoQAARLxImCIAAOhcRCwbCwBAV0oqXJq/przDhlDV7kbNX1OukgpXmEYGAJAoFACACNbiMVRUXKnOTvZru66ouFItHk4HBIBwoVAAACJWWVVthyMT7RmSXO5GlVXVhm5QMLUWj6HSPYf00o5PVbrnEGUV8APnUAAAIlZNfddlIpAc0B3O1QECwxEKAEDESkuyBjUHdIVzdYDAUSgAABErKyNFDptVXS0Oa1HrJ8hZGSmhHBZMhnN1gJNDoQAARKzYGIsK852S1KFUtH1dmO9kPwqcFM7VAU4OhQIAENHyMh1aMXui7DbfaU12m1UrZk9kbjtOGufqACeHk7IBABEvL9Oh6U47O2XjlOBcHeDkUCgAAH1CbIxFOaNTwz0MmFDbuTrV7sZOz6OwqPWIGOfqAJ1jyhMAAIhqnKsDnBwKBQAAiHqcqwMEjilPAAAA4lwdIFAUCgAAgC9xrg7Qe0x5AgAAABAwCgUAAACAgFEoAAAAAASMQgEAAAAgYBQKAAAAAAFjlaco0OIxWAIPAAAApwSFwuRKKlwqKq6Uy93ovc5hs6ow38kmPQAAADhpTHkysZIKl+avKfcpE5JU7W7U/DXlKqlwhWlk/5+9ew9vsr7/P/5KSktaaAMtlraCUPAAtSBy7hR2kEMFUab7Tp0oToYTwak4FTxV5oGJ8zgVlG2iMr9Df5sowqodHmBSKHIQa4EpFhFpKVJIOZW2SX5/9NuMtGl7N73bpHefj+vqdS3J+07e1Cy9X7k/BwAAAFgFgcKi3B6v5q0okDfAYzX3zVtRILcnUAUAAABgDIHCovIKS+tcmTiVV1KRq1x5haWt1xQAAAAsh0BhUSVH6g8TwdQBAAAAgRAoLCox1mFqHQAAABAIgcKihqfGK9npUH2Lw9pUvdrT8NT41mwLAAAAFkOgsKgIu01Zk9IkqU6oqLmdNSmN/SgAAADQLAQKC8tMT9bCKYOV5PQf1pTkdGjhlMHsQwEAAIBmY2M7i8tMT9bYtCR2ygYAAECLIFC0AxVVHq36fJ92Hzyu3gkxGtSzi6KjIkLdFgAAQLvk9ngt9WUvgcLipr+6UTkFJb7ba7+UXlu/R2PTErX4umEh7AwAAKD9yc4v0rwVBX77hSU7HcqalNZmh6Mzh8LCaoeJU+UUlGj6qxtbuSMAAID2Kzu/SDOWbq6z+XCxq1wzlm5Wdn5RiDprHgKFRZ2ocNcbJmrkFJToRIW7lToCAABov9wer+atKJA3wGM1981bUSC3J1BFeCNQWNSjqwpMrQMAAEDw8gpL61yZOJVXUpGrXHmFpa3XlEkIFBa1++BxU+sAAAAQvJIj9YeJYOrCCYHCononxJhaBwAAgOAlxjoaL2pCXTghUFjUPRPSTK0DAABA8IanxivZ6VB9i8PaVL3a0/DU+NZsyxQECouKjorQ2LTEBmvGpiWyHwUAAEAriLDblDWp+ovc2qGi5nbWpLQ2uR8FgcLCFl83rN5QwT4UAAAArSszPVkLpwxWktN/WFOS06GFUwa32X0obF6vt+2tTdVGlZWVyel0yuVyKS4urtVe90SFW4+uKvDtlH3PhDSuTAAAAIRIqHfKNvuclEDRikIVKAAAAIAaZp+TdjChJ4S5UKdgAAAAWBeBwuKy84s0b0WB30YqyU6HsialtdlxegAAAAgfTMq2sOz8Is1YurnOrozFrnLNWLpZ2flFIeoMAAAAVkGgsCi3x6t5KwoUaIJMzX3zVhTI7WEKDQAAAIJHoLCovMLSOlcmTuWVVOQqV15haes1BQAAAMthDoVFlRypP0wEUwcAAABzWG3BHAKFRSXGOhovakIdAAAAms+KC+Yw5MmihqfGq0tMZIM1XWMiNTw1vpU6AgAAaN+sumAOgaIdYzo2AABA67DygjkECovKKyzV4eOVDdYcPl7JpGwAAIBWYOUFcwgUFsWkbAAAgPBh5XMzAoVFMSkbAAAgfFj53IxAYVFGJmV3YVI2AABAq7DyuRmBoh1ru6sdAwAAWE9bPTcjUFiUkUnZh5iUDQAA0CqsfG5GoLAoK0/8AQAAaGusfG5GoLAoK0/8AQAAaGusfG5GoLCoIb26yt7IQDy7rboOAAAALWt4arySnY5650nYJCU7HUzKRvjY9M0hNbbRosdbXQcAAICWFWG3KWtSmqS6k69rbmdNSlNEY98IhyEChUVZeZweAABAW5SZnqyFUwYryek/rCnJ6dDCKYOVmZ4cos6ap0OoG0DLsPI4PQAAgLYqMz1ZY9OSlFdYqpIj5UqMrR7m1BavTNQgUFhUzRyKhoY9MYcCAACg9UXYbcromxDqNkzDkCeLYg4FAAAAWgOBwqKKXSdMrQMAAAACIVBYVOmxClPrAAAAgECYQ2FR8Z07mloHAKHm9ngtNYkRAKyCQGFRSXHGVm8yWgc0hpM9tKTs/CLNW1GgItd/l7pOdjqUNSmtzS6zCABWQaCwqOGp8eoSE6nDxyvrrekaE9kmd2NE+OFkDy0pO79IM5ZuVu11Jopd5ZqxdHObXrsdAKyAORQWVlHlafDxk408DhhRc7J3apiQ/nuyl51fFKLOYAVuj1fzVhTUCROSfPfNW1Egd2PL2gEAWgyBwqLW7zqo4xXuBmuOV7i1ftfBVuoIVsTJHlpaXmFpnbB6Kq+kIle58gpLW68pAIAfAoVF5X79val1QCCc7KGllRyp//0VTB0AwHzMobAso5NhmTSL4HGyh5aWGGts4QijdQAQDiqqPHotd7e+KT2uXvExujajt6I6tN3v+QkUFpXRN0HPffiVoTogWJzsoaUNT41XstPR4JWwZKeDBSYAtBnzVxVo8dpCnToa+JFV2zV9VKrmTkgLXWPN0HajEBo0sk+COkVFNFjTqWOERvYhUCB4NSd79V3nsomTPTRPhN2mS89reAWnS89LZoliAG3C/FUFenGNf5iQJI9XenFNoeavKghNY81EoLCwyEYunUVG8J8fzRNhtylrUvW3KbVP52puZ01K42QPQXN7vHrns4ZXCnvnsyIm/gMIexVVHi1eW9hgzeK1hY2u0hmOOKO0qLzC0gb3oJCkw8crmSyLZstMT9bCKYOV5PQf1pTkdLA/AJqtsYn/EhP/AbQNr+XurnNlojaPt7qurWEOhUUxWRatKTM9WWPTktgpG6bjswyAVXxTetzUunBCoLAoJsuitUXYbUzyh+n4LENrc3u8fDmCFtErPsbUunBCoLComsmyxa7ygJuO2VQ9JIXJsgDCGZ9laE3Z+UWat6LAb5hdstOhrElpDN9Es12b0VuPrNre4LAnu626rq1hDoVFMVkWgBXwWYbWkp1fpBlLN9eZs1PsKteMpZuVnd/w4gBAY6I62DV9VGqDNdNHpbbJ/SjaXscwjMmyAKyAzzK0NLfHq3krCgJeBau5b96KAlYTQ7PNnZCmX49OVe3vQOw26dej2+4+FDav18v/O1pJWVmZnE6nXC6X4uLiWu11rbYbI4D2ibHtaCm5uw7q6sXrG6373+kjmSsGU4T63Mzsc1LmUFhcdn6Rst7O1/4jFb77XlqzS/MuS+dbPQAAxGpiaH1RHeyaNqpPqNswDYHCwrLzi3TT0s117t9/pEI3Ld2sRQwVANBGMFkWLYnVxIDmYdyLRbk9Xs1+47MGa2a/8RnjQQGEPSbLoqXVrCZW3wA6m6oDLKuJAYERKCxq3Zff63iFu8Ga4xVurfvy+1bqCACajsmyaA2sJgY0D4HCov6+Za+pdQAQCnmFpXWuTJzKK6nIVa68wtLWawqWxGpiQPCYQ2FRjV2daGodAIQCk2XRmjLTkzU2LYnVxIAmIlBY1LDe8Xq/YL+hOgAIV0yWRWuLsNtYGhZoIoY8WdTUH/SWrZEvVGy26joACFdMlgWA8EegsKioDnbd2Mj27je20e3dAbQfTJZFa3N7vMrddVBvb/1OubsOMuEfMIAhTxZWs3374rWFOvXz0G6Tpo9qu9u7A2hfaibL1t6HIol9KGAy9jsBgmPzer1E71Zi9jbnRoV6e3cAMIPb42WyLFpMzX4ntU+Kat5hrPQEKzH7nDSkZ5Vr1qzRpEmTlJKSIpvNpuXLl/s9fv3118tms/n9ZGZm+tWUlpbqmmuuUVxcnLp06aJp06bp6NGjfjXbtm3TqFGj5HA41LNnTy1YsKBOL2+++ab69esnh8OhAQMGaNWqVX6Pe71ePfDAA0pOTlZ0dLTGjBmjL7/80pxfRAtze7zaffCYCr8/pt0Hj3H5FgCAU7DfCdA8IR3ydOzYMZ133nm64YYbdPnllwesyczM1Msvv+y73bFjR7/Hr7nmGhUVFSknJ0eVlZX65S9/qRtvvFGvv/66pOoENm7cOI0ZM0aLFi3S559/rhtuuEFdunTRjTfeKElat26drr76as2fP1+XXHKJXn/9dU2ePFmbN29Wenq6JGnBggV69tln9corryg1NVX333+/xo8fr4KCAjkc4bu6yPRXNyqnoMR3e+2X0mvr92hsWqIWXzcshJ0BgHEMRUFLasp+J6wABdQVNkOebDab3nrrLU2ePNl33/XXX6/Dhw/XuXJRY/v27UpLS9PGjRs1dOhQSVJ2drYmTJigvXv3KiUlRQsXLtS9996r4uJiRUVFSZLmzJmj5cuXa8eOHZKkK6+8UseOHdO7777re+6RI0dq0KBBWrRokbxer1JSUnTHHXfot7/9rSTJ5XKpe/fuWrJkia666ipD/8bWHvJUO0zURqgA0BYwFAUt7e2t3+nWv21ttO6ZqwbpskGnt3xDQAuz1JAnIz766CMlJibqnHPO0YwZM3Tw4EHfY7m5uerSpYsvTEjSmDFjZLfbtWHDBl/N6NGjfWFCksaPH6+dO3fq0KFDvpoxY8b4ve748eOVm5srSSosLFRxcbFfjdPp1IgRI3w14eZEhbvBMCFJOQUlOsHGdgDCGENR0Bq6de7YeFET6oD2JqwDRWZmpl599VWtXr1ajz32mD7++GNdfPHFcrurT4KLi4uVmJjod0yHDh0UHx+v4uJiX0337t39ampuN1Zz6uOnHheoJpCTJ0+qrKzM76e1PLqqwNQ6AAiFpgxFAYJmNI+SW4GAwnrZ2FOHEg0YMEADBw5U37599dFHH+miiy4KYWfGzJ8/X/PmzQvJa+8+eNzUOgAIhZIj9YeJYOqAQL4/dtLUOqC9CesrFLX16dNH3bp101dffSVJSkpKUkmJ/7CeqqoqlZaWKikpyVezf/9+v5qa243VnPr4qccFqglk7ty5crlcvp9vv/22Sf/e5uidEGNqHQCEQmKssUUvjNYBgfA+A5qnTQWKvXv36uDBg0pOrp58l5GRocOHD2vTpk2+mg8++EAej0cjRozw1axZs0aVlZW+mpycHJ1zzjnq2rWrr2b16tV+r5WTk6OMjAxJUmpqqpKSkvxqysrKtGHDBl9NIB07dlRcXJzfT2u5x+CmdUbrACAUhqfGK9npqLNLdg2bqld7Gp4a35ptwWJ4nwHNE9JAcfToUW3dulVbt26VVD35eevWrdqzZ4+OHj2qO++8U+vXr9fu3bu1evVqXXbZZTrzzDM1fvx4SVL//v2VmZmp6dOnKy8vT5988olmzZqlq666SikpKZKkX/ziF4qKitK0adP0xRdfaNmyZXrmmWc0e/ZsXx+33nqrsrOz9cQTT2jHjh168MEH9emnn2rWrFmSqleguu222/Twww/rnXfe0eeff67rrrtOKSkpfqtShZPoqAj1SohusKZXQrSioyJaqSMAaLoIu01Zk6q/+Kh9sldzO2tSGhvcoVlq3mf1TZHwivcZ0JCQBopPP/1U559/vs4//3xJ0uzZs3X++efrgQceUEREhLZt26ZLL71UZ599tqZNm6YhQ4Zo7dq1fntR/PWvf1W/fv100UUXacKECbrwwgv10ksv+R53Op16//33VVhYqCFDhuiOO+7QAw884NuDQpJ+8IMf6PXXX9dLL72k8847T//v//0/LV++3LcHhSTddddduuWWW3TjjTdq2LBhOnr0qLKzs8N2D4qKKo++LT3RYM23pSdUUeVppY4AIDiZ6claOGWwkpz+n7dJTgdLxgJAGAibfSjag9bch+LPa7/WQyu3N1p3/8T+mjaqT4v2AgBmcHu8yissVcmRciXGVg8/4RtjmMHt8WrIwzk6fLyy3pquMZH69L6xvOdgCWafk4b1Kk8I3jelxlZvMloHAKEWYbexSzFaxPqvDzYYJiTp0PFKrf/6oC44s1srdQW0HW1qUjaM6xVvbPUmo3UAAFhV7q6DjRc1oQ5obwgUFvWLEb1MrQMAwLrY2Q5oDgKFRW399rCpdQAAWNWI3saG0hmtA9ob5lBYFLvLArCaiiqPXsvdrW9Kj6tXfIyuzeitqA58L4bms0cYm2httA5obwgUFsWunwCsZP6qAi1eWyjPKSNOHlm1XdNHpWouG3Simb4/etLUOqC9IVBYVM2un8Wu8oAjPm2qXsOdXT8BhLv5qwr04prCOvd7vPLdT6hAc/AlHFqb1ZbBJlBYVM2unzOWbpZN/tPI2F0WQFtRUeXR4rV1w8SpFq8t1B3j+jH8CUGr+RKuyFX/MOBkvoSDSbLzizRvRYHf+y3Z6VDWpLQ2u1Enn74Wxu6yANq613J3+w1zCsTjra4DghVht+nS8xr+m3jpecl8CYdmy84v0oylm+uE12JXuWYs3azs/KIQddY8XKGwuMz0ZI1NS7LUZTUA7QebdKI1uD1evfNZwydy73xWpLsy+/P3E0Fze7yat6Ig4FB0r6pHkMxbUaCxaUlt7n3GFQoAQNhik060hrzC0gaHO0lSkatceYWlrdQRrKix95lXbfd9xhUKi7PiOD0A7ce1Gb31yKrtDQ57stuq64BgsdQ6WoOV32dcobAwq47TA9B+RHWwa/qo1AZrpo9KZUI2moVVntAarPw+4xPYohobpydVj9NzNzbbEQBCbO6ENP16dKpqDym226Rfj2YfCjTfgNOdptYBgdSsJlbf7Aib2u5qYgx5sqimjNPL6JvQeo0BQBDmTkjTHeP6sVM2WsRj2dsN1z00eUALdwOrsvKS/gQKi7LyOD0A7VNUB7umjeoT6jZgQYXfHzO1DqhPzZL+tee3JrXx+a0ECouy8jg9AADMFB0ZYWod0BArLulPoLComnF6xa7ygPMobKpOw21xnB4AAGYaf26ScraXGKoDzBBht1lqyDmDTy2qZpxefVOuvWq74/QAADDT6V2N7WNitA5obwgUAACgXRueGq8uMZEN1nSNieSqPlAPAoVF1Swb2xCWjQUAwBj+WgL1a1agqKio0M6dO1VVVWVWPzBJY8vGSm13e3cAAMyUV1iqw8crG6w5fLySv5lAPYIKFMePH9e0adMUExOjc889V3v27JEk3XLLLfr9739vaoMITrHrhKl1AABYFX8zgeYJKlDMnTtXn332mT766CM5HP9ddnTMmDFatmyZac0heN8frTC1DgAAqyo9ZuxvodE6oL0JatnY5cuXa9myZRo5cqRstv+uEnTuuedq165dpjWH4B08etLUOgAArCq+c0dT64D2JqgrFAcOHFBiYmKd+48dO+YXMBA6n3/nMrUOAACrSooztsmr0TqgvQkqUAwdOlQrV6703a4JEX/605+UkZFhTmdolpgoY7t5Gq0DAMCqajaDbUgym8EC9QpqyNOjjz6qiy++WAUFBaqqqtIzzzyjgoICrVu3Th9//LHZPSIIw1MTDO36OTzVOrs0AgAQjJrNYGcs3SzJf4nYmnEXbAYL1C+oKxQXXnihtm7dqqqqKg0YMEDvv/++EhMTlZubqyFDhpjdI4IwZWQvU+sAALCyzPRkLZwyWN1rDWtKcjq0cMpgZaYnh6gzIPwFdYVCkvr27avFixeb2QtMtHnPIcN1F5zZrYW7AQCgrfDfws7rZUs7oDFBXaFYtWqV3nvvvTr3v/fee/rnP//Z7KbQfJ989b2pdQAAWFl2fpFmLN2s4jL/1Q+Ly05qxtLNys4vClFnQPgLKlDMmTNHbre7zv1er1dz5sxpdlNovn2HjW2+Y7QOAACrcnu8mreiQPVdi/BKmreiQG4PVyuAQIIKFF9++aXS0tLq3N+vXz999dVXzW4KzXd6l2hT6wAAsKq8wlIVucobrClylSuvsLSVOoLVuT1e5e46qLe3fqfcXQfbfFgNag6F0+nU119/rd69e/vd/9VXX6lTp05m9IVm+sGZ3fT8R41vMvgD5k8AANq5Ypexq/VG64CGZOcXad6KAr8Qm+x0KGtSWpud/B/UFYrLLrtMt912m9+u2F999ZXuuOMOXXrppaY1h+AN621srWyjdQAAWFXpsQpT64D61MzVqX1FrNhV3qbn6gQVKBYsWKBOnTqpX79+Sk1NVWpqqvr376+EhAT94Q9/MLtHBGHD1wdNrQMAwKqc0ZGm1gGBNDRXp+a+tjpXJ+ghT+vWrVNOTo4+++wzRUdHa+DAgRo9erTZ/SFI/9i813DdqLNPa+FuAAAIX5/tPWy47mdDe7ZsM7CsxubqePXfuToZfdvWxsNB70Nhs9k0btw4jRs3zsx+YJKjJ6tMrQMAAEDwSo40PPG/qXXhxHCgePbZZ3XjjTfK4XDo2WefbbD2N7/5TbMbQ/OcFtvR1DoAAKyqd4KxBWWM1gGBJMY6Gi9qQl04MRwonnrqKV1zzTVyOBx66qmn6q2z2WwEijDgjDE4HtRgHQAAVnVtRm89smq7Ghq6brdV1wHBGp4ar2SnQ8Wu8oDzKGySkpwODU9tewvmGA4UhYWFAf83wlOEzWZqHQAAVhXVwa7po1L14pr6z2+mj0pVVIeg1rIBJEkRdpuyJqVpxtLNskl+oaLmbCxrUpoi7G3v3KzJ/8+orKxU3759tX379pboBybJ6GNsfwmjdQAAWNncCWn69ehU1T6Xs9ukX49O1dwJdTf0BZoqMz1ZC6cMVpLTf1hTktOhhVMGt9l9KJo8KTsyMlLl5W1vskh7M7JvgqI62FVR5am3pmMHu0a2sVUEEL7cHq/yCktVcqRcibHVl2zb4rcsCF8VVR69lrtb35QeV6/4GF2b0ZtvjGGquRPSdMe4frzP0KIy05M1Ni3JUn8zg1rlaebMmXrsscf0pz/9SR06BL1QFFqQ2+NVpbv+MCFJFW6P3B5vm34DIzxYcddPhJf5qwq0eG2h3xj3R1Zt1/RRfHMMc0V1sGvaqD6hbgMWF2G3tbmlYRsSVBrYuHGjVq9erffff18DBgxQp07+qx784x//MKU5BO+13N3yNrIvitdbXccHJ5qjZtfP2m+3ml0/2/IlXISH+asKAo5t93jlu59QAQChE1Sg6NKli6644gqze4GJvv7+qKl1QCCN7fppU/Wun2PTkrgShqBUVHm0eG3DC4EsXluoO8b1Y1gKAIRIkwKFx+PR448/rv/85z+qqKjQT37yEz344IOKjo5uqf4QpJKyk6bWAYFYeddPhIfXcnc3uJSnVH2lgqutABA6Tfo655FHHtE999yjzp076/TTT9ezzz6rmTNntlRvaIbEOIObpxisAwKx8q6fCA/flB43tQ4AYL4mBYpXX31VL7zwgt577z0tX75cK1as0F//+ld5PA1P/kXr69PN2G6eRuuAQKy86yfCQ6/4GFPrAADma1Kg2LNnjyZMmOC7PWbMGNlsNu3bt8/0xtA812b0VmN71tnY9RPNVLPrZ0OS2+iunwgP12b0rrMvQG3sYAwAodWkQFFVVSWHw//kITIyUpWVlaY2heaLsNsUHRnRYE1MZAQTZdEsEXabLj2v4RWcLj0vmfcZglazg3FD2MEYAEKrSZOyvV6vrr/+enXs2NF3X3l5uW666Sa/pWNZNjb08gpLdbzC3WDNsQo3k2XRLG6PV+98VtRgzTufFemuzP6ECgTt/DO6Sqp/pafqxwFzsEkn0HRNChRTp06tc9+UKVNMawbm2Xf4hKl1QCCNrfIkscoTmqdmaeL6sDQxzMQmnUBwmhQoXn755ZbqAybb+u0hw3VXDOnRwt3AqljlCS2NpYnRWurbpLOITTqBRjHoFEDQWOUJLY3QitbQ0CadUnVwnbeiQO7GNkUB2ikChUX1TjC2HKzROiCQmlWe6htoYhOrPKF5CK1oDU0ZvgmgLgKFRf1sSE9T64BAIuw2ZU1Kk6Q6oaLmdtakNMa2I2iEVrSGvYeMbYxotA5obwgUFvX4eztMrQPqk5merIVTBiup1n4USU4HY47RbIRWtIb3vyg2tQ5ob5o0KRttx2d7D5taBzQkMz1ZY9OSWGoRLaImtNZefSeJ1XdgkhOVDS+z3tQ6oL0hUFhUnCPS1DqgMRF2G6vsoMUQWtGSUrt10r+/OmioDkBdDHmyqBtH9TG1DgBCraLKo1Wf79P/27RXqz7fp4oqT6hbgkXcMyHN1DqgveEKhUVdePZpiupgb/APbscOdl149mmt2BUABGf6qxuVU1Diu732S+m19Xs0Ni1Ri68bFsLOYAXRUREam5bo9x6rbWxaoqKjIlqxK6Dt4AqFRUXYbXr2qkEN1jxz1SCGCwAIe7XDxKlyCko0/dWNrdwRrGjxdcM0Ni0x4GMEV6BhXKGwsMz0ZC2aMlgPLM9XydEK3/3dY6M077J0JjICCHsnKtwNfmssVYeKExVuvj1Gsy2+bphOVLj16KoC7T54XL0TYnTPhDTeW0AjbF6vl20fW0lZWZmcTqdcLpfi4uJa7XVdxyt1w5I87XOVK8Xp0F+uHy5nDJOxAYS/+5d/rtfW72m07tqRZ+ihyQNaoSMAaPvMPiflCoXFXfrcWm3bW+a7XeQq13m/e18De8TpnVmjQtgZADRu90FjG4kZrQMAmI85FBZWO0ycatveMl363NpW7ggAmqZ3QoypdQAA8xEoLOpoeVW9YaLGtr1lOlpe1UodAUDT/eYnZ5taBwAwH4HCom5ftsXUOgAIhXve2mZqHQDAfAQKi9pz6ISpdQAQCnyWAUD4I1BYVM+uDlPrACAUzugabWodAMB8BAqL+p/zephaBwCh8If/GWRqHQDAfAQKi3p1Y+PrtjelDgBCoaCo4cUlmloHADAfgcKiXOWVptYBQCgUl5WbWgcAMB+BwqKSYjuaWgcAoVB69KSpdQAA87FTtkX1Sews7ThgrA4AwlR8pyhT64DGuD1e5RWWquRIuRJjHRqeGq8Iuy3UbQFhjUBhUUY/+/iMBBDOkpzGVm8yWgc0JDu/SPNWFKjI9d8hdMlOh7ImpSkzPTmEnQHhjSFPFnW03G1qHQCEwvDUeHWJiWywpmtMpIanxrdSR7Cq7PwizVi62S9MSFKxq1wzlm5Wdn5RiDoDwh+BwqK8Xq+pdQAQKhVVngYfP9nI40Bj3B6v5q0oUKC/iDX3zVtRILeHv5lAIAQKi9p/xNgERaN1ABAK63cd1PGKhq+kHq9wa/2ug63UEawor7C0zpWJU3klFbnKlVdY2npNAW0IgcKivB5jQ5mM1gFAKOR+/b2pdUAgJUeMLTtstA5obwgUFlVeZW4dAISG0ZUjWGECwUuMdZhaB7Q3BAqLOq9HF1PrACAUMvommFoHBDI8NV7JTke9sdSm6tWemPwPBEagsKgLzupmah3QGLfHq9xdB/X21u+Uu+sgkxdhipF9EhTVoeE/VR072DWyD4ECwYuw25Q1KU1S3WtdNbezJqWxHwVQD/ahsKiRfRLUJSZSh49X1lvTNSaSP8IwBWu3o6W4PV5VNrKKU0WVR26Pl5M9NEtmerIWThlc57Msic8yoFEECouKsNt05dAeenFNYb01Px/agz/AaLaatdtrX4+oWbt94ZTB/CFG0F5ZtzvgUp6n8v5f3fTRfVqjJVhYZnqyxqYlsVM20EQMebIot8erdz5reBOedz4rYlgKmoW129HS8nYbWw7WaB3QmAi7TRl9E3TZoNOV0TeBMAEYQKCwqMbW1JZYUxvNx9rtaGnHTxpb2tpoHQDAfAQKi2JNbbQG3mdoaQN6xJlaBwAwH4HCojpHRJhaBwQSHx1lah1Q26gzE02tAwCYj0BhUc+v3WVqHRDIjv1HTK0DahvZt3rFuoZ0iYnUSPahAICQIVBY1L7DJ0ytAwL59tBxU+uA2iLsNv3+8gEN1vz+8gFMnAWAECJQWFQHg39cjdYBgfSKjzG1DggkMz1Zvx6dGnDDsV+PTmVZYgAIMQKFRY3sG29qHRDItRm91Vgmtduq64BgZecX6aU1hQGXJ35pTaGy8xteIhsA0LIIFBblOl5lah0QSFQHu6aPSm2wZvqoVEV14KMGwWGvEwAIf/yVt6huscZW1TFaB9Rn7oQ0/Xp0ap0rFXZb9XCUuRPSQtMYLIG9TgAg/HUIdQNoGR3sxrKi0TqgIXMnpOmOcf30Wu5ufVN6XL3iY3RtRm+uTKDZ2OsEgBW5PV7lFZaq5Ei5EmMdGp4a36YXlwjpX/s1a9Zo0qRJSklJkc1m0/Lly/0e93q9euCBB5ScnKzo6GiNGTNGX375pV9NaWmprrnmGsXFxalLly6aNm2ajh496lezbds2jRo1Sg6HQz179tSCBQvq9PLmm2+qX79+cjgcGjBggFatWtXkXsLJ+T27mloHNCaqg13TRvXR7y5L17RRfQgTMEW3Th1NrQOAUMvOL9KFj32gqxev161/26qrF6/XhY990Kbng4X0L/6xY8d03nnn6fnnnw/4+IIFC/Tss89q0aJF2rBhgzp16qTx48ervPy/30Rdc801+uKLL5STk6N3331Xa9as0Y033uh7vKysTOPGjVOvXr20adMmPf7443rwwQf10ksv+WrWrVunq6++WtOmTdOWLVs0efJkTZ48Wfn5+U3qJZwkd4k2tQ4AQsLoF3Zt94s9AO1Idn6RZizdXGcoZ7GrXDOWbm6zocLm9XrDYiabzWbTW2+9pcmTJ0uqviKQkpKiO+64Q7/97W8lSS6XS927d9eSJUt01VVXafv27UpLS9PGjRs1dOhQSVJ2drYmTJigvXv3KiUlRQsXLtS9996r4uJiRUVVzxeYM2eOli9frh07dkiSrrzySh07dkzvvvuur5+RI0dq0KBBWrRokaFejCgrK5PT6ZTL5VJcXJwpv7f6FB8u18jfr260bv2ci5TUxdGivQBAsP66vlD3Li9otO6RyWm6ZmTDCwQAQCi5PV5d+NgH9c4Ls0lKcjr077t/0uLDn8w+Jw3bMQmFhYUqLi7WmDFjfPc5nU6NGDFCubm5kqTc3Fx16dLFFyYkacyYMbLb7dqwYYOvZvTo0b4wIUnjx4/Xzp07dejQIV/Nqa9TU1PzOkZ6CeTkyZMqKyvz+2ktP1v0ial1ABAKL3z0tal1ABAqVl5kImwDRXFxsSSpe/fufvd3797d91hxcbESExP9Hu/QoYPi4+P9agI9x6mvUV/NqY831ksg8+fPl9Pp9P307NmzkX+1eUqPVZpaBwChcPi4sc8oo3UAECpWXmQibAOFFcydO1cul8v38+2337baa3eNMbaAl9E6AAiFqAhjl/2N1gFAqCTGGhtibrQunIRtoEhKSpIk7d+/3+/+/fv3+x5LSkpSSUmJ3+NVVVUqLS31qwn0HKe+Rn01pz7eWC+BdOzYUXFxcX4/reX+ieeaWgcAoZCRGm9qHQCEyvDUeCU7HfWuIWGTlOysXkK2rQnbQJGamqqkpCStXv3ficVlZWXasGGDMjIyJEkZGRk6fPiwNm3a5Kv54IMP5PF4NGLECF/NmjVrVFn538vhOTk5Ouecc9S1a1dfzamvU1NT8zpGegk3xyrdptYBQCikdo81tQ4AQiXCblPWpOrNXmuHiprbWZPS2uR+FCENFEePHtXWrVu1detWSdWTn7du3ao9e/bIZrPptttu08MPP6x33nlHn3/+ua677jqlpKT4VoLq37+/MjMzNX36dOXl5emTTz7RrFmzdNVVVyklJUWS9Itf/EJRUVGaNm2avvjiCy1btkzPPPOMZs+e7evj1ltvVXZ2tp544gnt2LFDDz74oD799FPNmjVLkgz1Em62fnvI1DoACIUf9O1mah0AhFJmerIWThmsJKf/sKYkp0MLpwxWZnpyiDprnpAOoP/000/14x//2He75iR/6tSpWrJkie666y4dO3ZMN954ow4fPqwLL7xQ2dnZcjj++x/hr3/9q2bNmqWLLrpIdrtdV1xxhZ599lnf406nU++//75mzpypIUOGqFu3bnrggQf89qr4wQ9+oNdff1333Xef7rnnHp111llavny50tPTfTVGegEAmGtknwR1iYlscNJ115hIjeyT0IpdAUDwMtOTNTYtyVI7ZYfNPhTtQWvuQ/HntV/roZXbG627f2J/TRvVp0V7Qfvg9ngt9eGI8DF/VYFeXFNY7+O/Hp2quRPSWrEjAGjbzD4nZYkfi7o2o7ceWbVdngbiot1WXQc0V3Z+keatKPBbXzvZ6VDWpLQ2e/kW4cHt8eqdzxreOfadz4p0V2Z/AiwAhEjYTspG80R1sCv99IYTZ/rpcYrqwFsAzZOdX6QZSzfX2aynyFWuGUs3Kzu/4ZNBoCGNbQQltd2NoADAKjibtKiKKo/yv2t4Z+7878pUUeVppY5gRW6PV/NWFKi+C2FeSfNWFMjd0KUyoAFFh0+YWgc0xu3xKnfXQb299Tvl7jrI5xdgAEOeLOq13N0NDneSJI+3uo45FAhWU749zujLpFk03RaDK9Ft+faQLh/So4W7gdUxfBMIDlcoLKrw+2Om1gGB7DP4rbDROqA2t8F1Q4zWAfWpb/hmMcM3gUYRKCxqf1nD3xo3tQ4IhP1O0NIibMYmWhutAwJpaPhmzX0M3wTqR6CwqK6dI02tA4BQGHB6F1PrgEAaG77pFZP/gYYQKCzq0NH6N4EKpg4IpHdCJ1PrgNo+/+6wqXVAICVHjF2tN1oHtDcECotKjO1oah0QyLUZvdXY0v/sd4Lm8BicG2G0DggkMdZhah3Q3hAoLMpmcDyx0TogkKgOdk0fldpgzfRRqex3gqDZDX5GGa0DAhmeGq9kp0P1vYtsql7taXhqfGu2BbQZ/JW3qM6OCFPrgPrMnZCmX49OrXOlwm6Tfj06VXMnpIWmMVjCoJ5dTa0DAomw25Q1qeHPqqxJaezGDtSDQGFRHezGgoLROqAxtRc/YTEUmCEpztgQE6N1QH0y05M1oEdcwMcG9IhjHwqgAQQKizK6iRibjaG55q8q0ItrCgM+9uKaQs1fVdDKHcFKmEOB1jL91Y3atrcs4GPb9pZp+qsbW7kjoO0gUFjUsN7GxnkarQMCqajyaPHawGGixuK1haqo8rRSR7CaDQaX6TRaBwRyosKtnIKSBmtyCkp0osLdSh0BbQuBwqI2fH3Q1DogkNdydzc6tMnjra4DgmP0ygNXKBC8Rw1eSTVaB7Q3BAqL+vvmvabWAYHsPnjM1Dqgtow+3UytAwIp/N7YZ5TROqC9IVBY1LGTVabWAUAojOyboI6NLDvcsYNdI5kPhmaIjjS2QInROqC9IVBY1GkGN6wzWgcEwpKeaGluj7fROTgVVR65WVYMzTDu3CRT64D2hkBhUc6YSFPrgEBSukSbWgfU9lru7kZnR3jFPB00T4+uMabWAe0NgcKiIgzuGmu0DghkUM8uptYBte36/qipdUAgNTtlN4SdsoH6ESgsakSqsfHERuuAQF7f8I2pdUBtB8pOmloHBFKzU3Z9X7HZxE7ZQEMIFBZ19EiFqXVAIN+UHje1Dqitu8EdsI3WAfXJTE/WwimD1b3W3MKkuI5aOGUwO2UDDSBQWNQ9K78wtQ4IpFe8sfHERuuA2lK7dTK1DmjIlj2HdOCo/9WukiMntWXPoRB1BLQNBAqLOl5hbDlYo3VAINdm9FZjIwDstuo6IBhG3zu8x9Bc81cV6MU1hXU26/R4pRfXFGo+m9oB9SJQWFTXaGOrNxmtAwKJ6mDX9FGpDdZMH5WqqEb2EQCAUKqo8mjx2sIGaxavLWx0CWOgveKvvEUdLzc2N8JoHQCEwivrdptaBwTyWu7uOlcmavN4WZ4YqA+BwqKOGRzJZLQOCIRv9dDSNu4uNbUOCIQFJoDmIVBYVGSEsf+0RuuAQPhWDy0tJirC1DogEBaYAJqHs0mLmj6qj6l1QCBfHzC2mZjROqC2ywammFoHBPKLEb1MrQPaGwKFRQ09o6updUAgO4qPmFoH1PbV98dMrQMC2frtYVPrgPaGQGFRn3z9val1QCCOSGMfIUbrgNp2HzQWFIzWAYGUHCk3tQ5ob/grb1HvF+w3tQ4IpM9pnU2tA2rbX3bC1DogkMRYYzutG60D2hsChUVVuY2tqmO0DgjknglpptYBdXgb2TmxqXVAAMNT45XsdKi+d5FNUrLToeGp8a3ZFtBmECgs6rTYKFPrgECioyJ0WueG30OndY5SNCvwIEidHR1MrQMCibDblDWp+ouP2qGi5nbWpDRF2AmuQCAECosa1NPYZGujdUAgJyrcOnC04c0RDxyt0IkKdyt1BKsZc06iqXVAfTLTk7VwymAlOf2HNSU5HVo4ZbAy05ND1BkQ/vhKx6I+3FliuC6rhXuBdT2y8gvDdQ//dGALdwMrmp+93XDdJeef3sLdwOoy05M1Ni1JeYWlKjlSrsTY6mFOXJkAGkagsKij5ca2wDZaBwTy2V6XqXVAbYeOG/uMMloHNCbCblNG34RQtwG0KQx5sqjTOkWaWgcEEmdw3LrROqC2eIOfUUbrAADmI1BYVFKXGFPrgEBGnXWaqXVAbW/dfKGpdQAA8xEoLOq4wUmwRuuAQFi7HS3N6AphrCQGAKFDoLCo7cVlptYBgRw63vAKT02tA2q7fdkWU+uAxrg9XuXuOqi3t36n3F0H5fZ4Q90SEPYY2GxRXq+xD0CjdUAgcdHGxq0brQNq2/39MVPrgIZk5xdp3ooCFbnKffclOx3KmpTGsrFAA7hCYVHOaGMb1hmtAwLZtvewqXVAbccqjK3eZLQOqE92fpFmLN3sFyYkqdhVrhlLNys7vyhEnQHhj0BhUb8a1cfUOgAIhQgZu4pqtA4IxO3xat6KgoDvopr75q0oYPgTUA8ChUX9+6sDptYBgfRO6GRqHVCb66TH1DogkLzC0jpXJk7llVTkKldeYWnrNQW0IQQKi9p36ISpdUAg12b0VmMbyNpt1XVAMLpGG5vqZ7QOCKTkSP1hIpg6oL0hUFjUwWPGVtUxWgcEEtXBrumjUhusmT4qVVEd+KhBcCIjGkmsTawDAmEJbKB5+CtvUcfLjQUFo3VAfc4/o2uzHgcaEhVpbH8Jo3VAIMNT45XsdKi+WGpT9WpPw1PjW7MtoM0gUFjUkUpz64BA3B6v5vzj8wZr5vzjcyYyImhdYzqaWgcEEmG3KWtSmiTVCRU1t7MmpSmisTGeQDtFoAAQtPW7Durw8YZT6eHjlVq/62ArdQSrGdrLaWodUJ/M9GQtnDJYSU7/YU1JTocWThnMPhRAA5jFBiBouV9/b7jugrO6tXA3sKK3PzO29v/bnxXp9nH9W7gbWF1merLGpiUpr7BUJUfKlRhbPcyJKxNAwwgUFtXRJp00MMqkI5+RaBajbyDeaAhO2QljG9YZrQMaE2G3KaNvQqjbANoUhjxZVGxMpKl1QCDDehmbcG20Dqitq8HPKKN1AADzESgs6nRnlKl1QCA7i4+YWgfUxrKxABD+CBQWFdPR2Ld1RuuAQNYXGptsbbQOqO1YhbEdsI3WAQDMR6CwqJNVxpbpNFoHBPJFUZmpdUBt53TvbGodAMB8BAqLcsYYG8pktA4IxOhWYmw5hmAt+NkgU+sAAOYjUFjUgSPlptYBgXTqaGyhOKN1QG1vbdlrah0AwHwECos6cdLYEopG64BAesRHm1oH1Lb74DFT6wAA5iNQWNSJKrepdUAgzmiDQ+sM1gG1ebzG5nkZrQMAmI9AYVExkcaGmBitAwK5YnAPU+uA2jobHC5ntA4AYD4ChUVVeox9W2e0DghkRJ+ERvfAtv1fHRCML/YZXEnMYB0AwHwECssyGhQIFAjepm8ONfoO8v5fHRCMjh2M/ZkyWgcAMB+fwBbV2eCGdUbrgECKDp8wtQ4AALQ9BAqLGnXWaabWAYFs+dbYlQejdUBttsbG1DWxDgBgPgKFRZ2XFGdqHRBIpdtjah1QG1dbASD8ESgs6uH3dphaBwTy5f6jptYBtfVPjjW1DgBgPgKFRRW5jO2AbbQOCKRjB2PjTIzWAbV1iTZ25cFoHQDAfAQKizI6wISBKGiOGIPDTIzWAbX9a3uJqXUAAPMRKAAErU+3TqbWAbUdr6gytQ4AYD4CBYCglRw5aWodUFt5pbHrqEbrAADmI1BYVCeDI0yM1gGBnN4l2tQ6oLazkzqbWgcAMB+BwqK8Bv/TGq0DAhmeGm9qHVDbmacZW73JaB0AwHycTVqUXV5T64BAtheVmVoH1PaLEb1MrQMAmI9AYVEVHmNBwWgdEMi/tu83tQ6obeu3h02tAwCYj0BhUVEGl/03WgcEZvQNxBsNwSk6fMLUOgCA+QgUFlVl8MKD0TogkLFpiabWAbVt+faQqXUAAPMRKCzKbXAFRaN1QCD/M+QMU+uA2k5UGttfwmgdAMB8BAqLqjR45cFoHRDI3X//zNQ6oLaPdhwwtQ4AYD4CBYCg7TlkbNy60TqgtgqDl1GN1gEAzEegABC0Hs6OptYBtcV27GBqHQDAfAQKi2LtHbSGbnHGgoLROqC2zAHJptYBAMxHoLAoo1MjmEKB5th7qNzUOqC2jhERptYBAMxHoAAQtOhIYydxRuuA2srKK0ytAwCYj0ABIGhnntbZ1DqgNrfX2HVUo3UAAPMRKAAEzW7wE8RoHVDb90eMXXkwWgcAMB9/5i0q0uBsa6N1QCBdY4xNtjZaB9R2Wqyx947ROgCA+QgUFsXGdmgN3QyexBmtA2qLsBv71sNoHQDAfAQKAEFLinOYWgfUdl6PLqbWAQDMR6AAELThqfFKdjYcFpKdDg1PjW+ljmA1h44bmxthtA4AYD4CBYCgRdhtypqUJpvqbpJYc1/WpDSGoyBoh49XmloHADAfgQJAs2SmJ2vhlMFKqnWlIsnp0MIpg5WZzg7GCJ7NZiyMGq0DAJivQ6gbAND2ZaYna2xakvIKS1VypFyJsdXDnLgygebK6Jug5z78ylAdACA0CBQW1UFSlcE6wAwRdhsndTDdsN7xstmkhvats9mq6wAAocGQJ4vymFwHAKGw6ZtDDYYJqTpsbPrmUOs0BACog0BhUQQKAFZQcqTc1DoAgPnCOlA8+OCDstlsfj/9+vXzPV5eXq6ZM2cqISFBnTt31hVXXKH9+/f7PceePXs0ceJExcTEKDExUXfeeaeqqvwHA3300UcaPHiwOnbsqDPPPFNLliyp08vzzz+v3r17y+FwaMSIEcrLy2uRfzPQVrk9XuXuOqi3t36n3F0H5fawayKaLzHW2B4mRusAAOYL+yH05557rv71r3/5bnfo8N+Wb7/9dq1cuVJvvvmmnE6nZs2apcsvv1yffPKJJMntdmvixIlKSkrSunXrVFRUpOuuu06RkZF69NFHJUmFhYWaOHGibrrpJv31r3/V6tWr9atf/UrJyckaP368JGnZsmWaPXu2Fi1apBEjRujpp5/W+PHjtXPnTiUmJrbib8O4jhHSSbexOqC5svOLNG9FgYpc//2WONnpUNakNFZ5QrMM6dVVdpvUUD6126rrAAChEdZXKKTqAJGUlOT76datmyTJ5XLpz3/+s5588kn95Cc/0ZAhQ/Tyyy9r3bp1Wr9+vSTp/fffV0FBgZYuXapBgwbp4osv1kMPPaTnn39eFRXVmyAtWrRIqampeuKJJ9S/f3/NmjVLP/vZz/TUU0/5enjyySc1ffp0/fKXv1RaWpoWLVqkmJgY/eUvf2n9X4hBCZ2iTK0D6pOdX6QZSzf7hQlJKnaVa8bSzcrOLwpRZ7CCTd8cajBMSNVhgzkUABA6YR8ovvzyS6WkpKhPnz665pprtGfPHknSpk2bVFlZqTFjxvhq+/XrpzPOOEO5ubmSpNzcXA0YMEDdu3f31YwfP15lZWX64osvfDWnPkdNTc1zVFRUaNOmTX41drtdY8aM8dWEo0GndzK1DgjE7fFq3ooCBTrf8/7fz7wVBQx/QtCYQwEA4S+sA8WIESO0ZMkSZWdna+HChSosLNSoUaN05MgRFRcXKyoqSl26dPE7pnv37iouLpYkFRcX+4WJmsdrHmuopqysTCdOnND3338vt9sdsKbmOepz8uRJlZWV+f20llXbjX1bZ7QOCCSvsLTOlYnailzlyissbaWOYDXMoQCA8BfWcyguvvhi3/8eOHCgRowYoV69eumNN95QdHR0CDszZv78+Zo3b16o2wBaTHGZsW+FjdYBtQ1PjVey06FiV3nAK2E2Ve/KPjyVfSgAIFTC+gpFbV26dNHZZ5+tr776SklJSaqoqNDhw4f9avbv36+kpCRJUlJSUp1Vn2puN1YTFxen6OhodevWTREREQFrap6jPnPnzpXL5fL9fPvtt03+NwPhrPToSVPrgNoi7DZlTUqTVB0eTlVzO2tSGruyA0AItalAcfToUe3atUvJyckaMmSIIiMjtXr1at/jO3fu1J49e5SRkSFJysjI0Oeff66SkhJfTU5OjuLi4pSWluarOfU5ampqniMqKkpDhgzxq/F4PFq9erWvpj4dO3ZUXFyc3w9gJfEGJ/UbrQMCyUxP1sIpg5Xk9B/WlOR0aOGUwawkBgAhFtZDnn77299q0qRJ6tWrl/bt26esrCxFRETo6quvltPp1LRp0zR79mzFx8crLi5Ot9xyizIyMjRy5EhJ0rhx45SWlqZrr71WCxYsUHFxse677z7NnDlTHTt2lCTddNNNeu6553TXXXfphhtu0AcffKA33nhDK1eu9PUxe/ZsTZ06VUOHDtXw4cP19NNP69ixY/rlL38Zkt8LEC6SnMaGHhqtA+qTmZ6ssWlJyissVcmRciXGVg9z4soEAIReWAeKvXv36uqrr9bBgwd12mmn6cILL9T69et12mmnSZKeeuop2e12XXHFFTp58qTGjx+vF154wXd8RESE3n33Xc2YMUMZGRnq1KmTpk6dqt/97ne+mtTUVK1cuVK33367nnnmGfXo0UN/+tOffHtQSNKVV16pAwcO6IEHHlBxcbEGDRqk7OzsOhO1w0kHSVWNVoX5GwBhjz0C0Joi7DZl9E0IdRsAgFpsXq+X9RxbSVlZmZxOp1wuV4sPfxr+yPsqOVLZaF1ibKTy7h3Xor3AunJ3HdTVi9c3Wve/00dyIggAQJgw+5y0Tc2hgHFxHSNNrQMCYZUnAABAoLAoj8ELT0brgEBY5QkAABAoLIpvjtEaWOUJAAAQKCzqeKWxKw9G64BAWOUJAAAQKAAErWYX44Yks4sxAACWRqAAELSaXYzr2wnAJnYxBgDA6ggUAJqlZhfj2lcqktnFGACAdoF9zQA0G7sYAwDQfhEoAJiCXYwBAGifGPIEAAAAIGgECgAAAABBI1AAAAAACBqBAgAAAEDQCBQAAAAAgkagAAAAABA0AgUAAACAoBEoAAAAAASNQAEAAAAgaAQKAAAAAEEjUAAAAAAIGoECAAAAQNAIFAAAAACCRqAAAAAAEDQCBQAAAICgESgAAAAABI1AAQAAACBoBAqLiu1oM7UOAAAACIRAYVHllV5T6wAAAIBACBQW1cHghQejdQAAAEAgBAqL6pkQbWodAAAAEAiBwqKOlntMrQMAAAACIVBY1LFKt6l1AAAAQCAECovqHtvR1DoAAAAgEAKFRb16w0hT6wAAAIBACBQWtfLzfabWAQAAAIEQKCxq98HjptYBAAAAgRAoLMvohnVsbAcAAIDgESgsalCPLqbWAQAAAIEQKCwqpWuMqXUAAABAIAQKixrUs4updQAAAEAgBAqLen3DN6bWAQAAAIEQKCzqm1JjqzcZrQMAAAACIVBYVE+DcyOM1gEAAACBECgs6uzTOptaBwAAAARCoLCoTwoPmFoHAAAABEKgsKh1X5WaWgcAAAAEQqCwKPbJBgAAQGsgUFhUxw7G/tMarQMAAAAC4WzSos5M7GRqHQAAABAIgcKiSo9VmloHAAAABEKgsCiPx9jsCKN1AAAAQCAECosqOXLS1DoAAAAgEAKFRXWPizK1DgAAAAiEQGFRiXEOU+sAAACAQAgUFtUluqOpdQAAAEAgBAqLirDbTK0DAAAAAiFQWNSI1HhT6wAAAIBACBQWZTd45cFoHQAAABAIgcKivj9qbDlYo3UAAABAIAQKi+rWydhka6N1AAAAQCAECqsyOpKJEU8AAABoBgKFRZWUlZtaBwAAAARCoLCo749WmFoHAAAABEKgsKjSY8YmWxutAwAAAAIhUFhUkcvYUCajdQAAAEAgBAqLOr1LtKl1AAAAQCAECov6wZndTK0DAAAAAiFQWNTIPgnqEhPZYE3XmEiN7JPQSh0BAADAiggUFhVht+n3lw9osGb+5QMUYWcjCgAAAASPQGFhmenJWjRlsJLiHH73JzsdWjRlsDLTk0PUGQAAAKyiQ6gbQMvKTE/W2LQk5RWWquRIuRJjHRqeGs+VCQAAAJiCQNEORNhtyujLXAkAAACYjyFPAAAAAIJGoAAAAAAQNAIFAAAAgKARKAAAAAAEjUABAAAAIGgECgAAAABBI1AAAAAACBqBAgAAAEDQCBQAAAAAgkagAAAAABA0AgUAAACAoBEoAAAAAASNQAEAAAAgaAQKAAAAAEEjUAAAAAAIGoECAAAAQNAIFAAAAACC1iHUDbQnXq9XklRWVhbiTgAAANBe1ZyL1pybNheBohUdOXJEktSzZ88QdwIAAID27siRI3I6nc1+HpvXrGiCRnk8Hu3bt0+xsbGy2Wyt+tplZWXq2bOnvv32W8XFxbXqa6P94H2GlsZ7DK2B9xlaQyjfZ16vV0eOHFFKSors9ubPgOAKRSuy2+3q0aNHSHuIi4vjwxEtjvcZWhrvMbQG3mdoDaF6n5lxZaIGk7IBAAAABI1AAQAAACBoBIp2omPHjsrKylLHjh1D3QosjPcZWhrvMbQG3mdoDVZ6nzEpGwAAAEDQuEIBAAAAIGgECgAAAABBI1AAAAAACBqBwqKef/559e7dWw6HQyNGjFBeXl6oW4LFzJ8/X8OGDVNsbKwSExM1efJk7dy5M9RtwcJ+//vfy2az6bbbbgt1K7Cg7777TlOmTFFCQoKio6M1YMAAffrpp6FuCxbidrt1//33KzU1VdHR0erbt68eeughWWE6M4HCgpYtW6bZs2crKytLmzdv1nnnnafx48erpKQk1K3BQj7++GPNnDlT69evV05OjiorKzVu3DgdO3Ys1K3BgjZu3KgXX3xRAwcODHUrsKBDhw7pggsuUGRkpP75z3+qoKBATzzxhLp27Rrq1mAhjz32mBYuXKjnnntO27dv12OPPaYFCxboj3/8Y6hbazZWebKgESNGaNiwYXruueckSR6PRz179tQtt9yiOXPmhLg7WNWBAweUmJiojz/+WKNHjw51O7CQo0ePavDgwXrhhRf08MMPa9CgQXr66adD3RYsZM6cOfrkk0+0du3aULcCC7vkkkvUvXt3/fnPf/bdd8UVVyg6OlpLly4NYWfNxxUKi6moqNCmTZs0ZswY3312u11jxoxRbm5uCDuD1blcLklSfHx8iDuB1cycOVMTJ070+1wDzPTOO+9o6NCh+p//+R8lJibq/PPP1+LFi0PdFizmBz/4gVavXq3//Oc/kqTPPvtM//73v3XxxReHuLPm6xDqBmCu77//Xm63W927d/e7v3v37tqxY0eIuoLVeTwe3XbbbbrggguUnp4e6nZgIX/729+0efNmbdy4MdStwMK+/vprLVy4ULNnz9Y999yjjRs36je/+Y2ioqI0derUULcHi5gzZ47KysrUr18/RUREyO1265FHHtE111wT6taajUABoNlmzpyp/Px8/fvf/w51K7CQb7/9VrfeeqtycnLkcDhC3Q4szOPxaOjQoXr00UclSeeff77y8/O1aNEiAgVM88Ybb+ivf/2rXn/9dZ177rnaunUnvzt7AABmMElEQVSrbrvtNqWkpLT59xmBwmK6deumiIgI7d+/3+/+/fv3KykpKURdwcpmzZqld999V2vWrFGPHj1C3Q4sZNOmTSopKdHgwYN997ndbq1Zs0bPPfecTp48qYiIiBB2CKtITk5WWlqa3339+/fX3//+9xB1BCu68847NWfOHF111VWSpAEDBuibb77R/Pnz23ygYA6FxURFRWnIkCFavXq17z6Px6PVq1crIyMjhJ3Barxer2bNmqW33npLH3zwgVJTU0PdEizmoosu0ueff66tW7f6foYOHaprrrlGW7duJUzANBdccEGdZa//85//qFevXiHqCFZ0/Phx2e3+p94RERHyeDwh6sg8XKGwoNmzZ2vq1KkaOnSohg8frqefflrHjh3TL3/5y1C3BguZOXOmXn/9db399tuKjY1VcXGxJMnpdCo6OjrE3cEKYmNj68zJ6dSpkxISEpirA1Pdfvvt+sEPfqBHH31UP//5z5WXl6eXXnpJL730Uqhbg4VMmjRJjzzyiM444wyde+652rJli5588kndcMMNoW6t2Vg21qKee+45Pf744youLtagQYP07LPPasSIEaFuCxZis9kC3v/yyy/r+uuvb91m0G786Ec/YtlYtIh3331Xc+fO1ZdffqnU1FTNnj1b06dPD3VbsJAjR47o/vvv11tvvaWSkhKlpKTo6quv1gMPPKCoqKhQt9csBAoAAAAAQWMOBQAAAICgESgAAAAABI1AAQAAACBoBAoAAAAAQSNQAAAAAAgagQIAAABA0AgUAAAAAIJGoAAAAAAQNAIFAMBU119/vSZPntxgTe/evdvcbtdG/l1N0RZ/BwAQSIdQNwAAaH82btyoTp06hboNAIAJuEIBAFBFRUWrvt5pp52mmJiYVn1NoyorK0PdAgC0KQQKALCgI0eO6JprrlGnTp2UnJysp556Sj/60Y902223SaoebvPQQw/puuuuU1xcnG688UZJ0t13362zzz5bMTEx6tOnj+6//36/E+wHH3xQgwYN0osvvqiePXsqJiZGP//5z+Vyuer08Ic//EHJyclKSEjQzJkz/Z6n9nCfw4cP69e//rW6d+8uh8Oh9PR0vfvuu4b+rZ988ol+9KMfKSYmRl27dtX48eN16NAhSVJ2drYuvPBCdenSRQkJCbrkkku0a9cu37G7d++WzWbTsmXL9MMf/lAOh0N//etf5Xa7NXv2bN9xd911l7xer2m//1Prrr76anXq1Emnn366nn/+ecOvAQDhgkABABY0e/ZsffLJJ3rnnXeUk5OjtWvXavPmzX41f/jDH3Teeedpy5Ytuv/++yVJsbGxWrJkiQoKCvTMM89o8eLFeuqpp/yO++qrr/TGG29oxYoVys7O1pYtW3TzzTf71Xz44YfatWuXPvzwQ73yyitasmSJlixZErBXj8ejiy++WJ988omWLl2qgoIC/f73v1dERESj/86tW7fqoosuUlpamnJzc/Xvf/9bkyZNktvtliQdO3ZMs2fP1qeffqrVq1fLbrfrpz/9qTwej9/zzJkzR7feequ2b9+u8ePH64knntCSJUv0l7/8Rf/+979VWlqqt956q9F+ahj5/UvS448/7vtvUNNDTk6O4dcBgLDgBQBYSllZmTcyMtL75ptv+u47fPiwNyYmxnvrrbd6vV6vt1evXt7Jkyc3+lyPP/64d8iQIb7bWVlZ3oiICO/evXt99/3zn//02u12b1FRkdfr9XqnTp3q7dWrl7eqqspX8z//8z/eK6+80ne7V69e3qeeesrr9Xq97733ntdut3t37tzZ5H/r1Vdf7b3gggsM1x84cMAryfv55597vV6vt7Cw0CvJ+/TTT/vVJScnexcsWOC7XVlZ6e3Ro4f3sssua/Q1jPz+vd7q30FmZqbfsVdeeaX34osvNvzvAYBwwBUKALCYr7/+WpWVlRo+fLjvPqfTqXPOOcevbujQoXWOXbZsmS644AIlJSWpc+fOuu+++7Rnzx6/mjPOOEOnn36673ZGRoY8Ho927tzpu+/cc8/1u8KQnJyskpKSgP1u3bpVPXr00Nlnn920f6j+e4WiPl9++aWuvvpq9enTR3Fxcerdu7ck1fk3nfq7cLlcKioq0ogRI3z3dejQIeDvKxCjv3+p+ndX+/b27dsNvQ4AhAsCBQC0U7VXWcrNzdU111yjCRMm6N1339WWLVt07733BjVhOzIy0u+2zWarM8yoRnR0dJOf3+ixkyZNUmlpqRYvXqwNGzZow4YNkupOQmfFKQAIHoECACymT58+ioyM1MaNG333uVwu/ec//2nwuHXr1qlXr1669957NXToUJ111ln65ptv6tTt2bNH+/bt891ev3697HZ7wG/gjRg4cKD27t3baH/1Hbt69eqAjx08eFA7d+7Ufffdp4suukj9+/f3TdZuiNPpVHJysi98SFJVVZU2bdpkqKem/P7Xr19f53b//v0NvQ4AhAv2oQAAi4mNjdXUqVN15513Kj4+XomJicrKypLdbpfNZqv3uLPOOkt79uzR3/72Nw0bNkwrV64MOBHZ4XBo6tSp+sMf/qCysjL95je/0c9//nMlJSUF1e8Pf/hDjR49WldccYWefPJJnXnmmdqxY4dsNpsyMzMbPHbu3LkaMGCAbr75Zt10002KiorShx9+qP/5n/9RfHy8EhIS9NJLLyk5OVl79uzRnDlzDPV066236ve//73OOuss9evXT08++aQOHz5s6Nim/P4/+eQTLViwQJMnT1ZOTo7efPNNrVy50tDrAEC44AoFAFjQk08+qYyMDF1yySUaM2aMLrjgAvXv318Oh6PeYy699FLdfvvtmjVrlgYNGqR169b5Vn861ZlnnqnLL79cEyZM0Lhx4zRw4EC98MILzer373//u4YNG6arr75aaWlpuuuuu3wrNTXk7LPP1vvvv6/PPvtMw4cPV0ZGht5++2116NBBdrtdf/vb37Rp0yalp6fr9ttv1+OPP26onzvuuEPXXnutpk6dqoyMDMXGxuqnP/2p4X+P0d//HXfcoU8//VTnn3++Hn74YT355JMaP3684dcBgHBg83qbsLA2AKBNOnbsmE4//XQ98cQTmjZtWtDP8+CDD2r58uXaunWrec21A2b9/gEgHDHkCQAsaMuWLdqxY4eGDx8ul8ul3/3ud5Kkyy67LMSdtQ/8/gG0Jwx5AgCLqtm4bsyYMTp27JjWrl2rbt26hbqtJrn44ovVuXPngD+PPvpoSHras2dPvT117tzZtyStFX7/AGAEQ54AAGHru+++04kTJwI+Fh8fr/j4+FbuqHrFp927d9f7eO/evdWhAwMAALQfBAoAAAAAQWPIEwAAAICgESgAAAAABI1AAQAAACBoBAoAAAAAQSNQAAAAAAgagQIAAABA0AgUAAAAAIJGoAAAAAAQNAIFAAAAgKARKAAAAAAEjUABAAAAIGgECgAAAABB6xDqBtoTj8ejffv2KTY2VjabLdTtAAAAoB3yer06cuSIUlJSZLc3//oCgaIV7du3Tz179gx1GwAAAIC+/fZb9ejRo9nPQ6BoRbGxsZKq/+PFxcWFuBsAAAC0R2VlZerZs6fv3LS5CBStqGaYU1xcHIECAAAAIWXWEHwmZQMAAAAIGoECAAAAQNAIFAAAAACCRqAAAAAAEDQCBQAAAICgESgAAAAABC2kgWL+/PkaNmyYYmNjlZiYqMmTJ2vnzp1+NT/60Y9ks9n8fm666Sa/mj179mjixImKiYlRYmKi7rzzTlVVVfnVfPTRRxo8eLA6duyoM888U0uWLKnTz/PPP6/evXvL4XBoxIgRysvL83u8vLxcM2fOVEJCgjp37qwrrrhC+/fvN+eXAQAAALRBIQ0UH3/8sWbOnKn169crJydHlZWVGjdunI4dO+ZXN336dBUVFfl+FixY4HvM7XZr4sSJqqio0Lp16/TKK69oyZIleuCBB3w1hYWFmjhxon784x9r69atuu222/SrX/1K7733nq9m2bJlmj17trKysrR582add955Gj9+vEpKSnw1t99+u1asWKE333xTH3/8sfbt26fLL7+8BX9DAAAAQHizeb1eb6ibqHHgwAElJibq448/1ujRoyVVX6EYNGiQnn766YDH/POf/9Qll1yiffv2qXv37pKkRYsW6e6779aBAwcUFRWlu+++WytXrlR+fr7vuKuuukqHDx9Wdna2JGnEiBEaNmyYnnvuOUmSx+NRz549dcstt2jOnDlyuVw67bTT9Prrr+tnP/uZJGnHjh3q37+/cnNzNXLkyEb/fWVlZXI6nXK5XGxsBwAAgJAw+5w0rOZQuFwuSVJ8fLzf/X/961/VrVs3paena+7cuTp+/LjvsdzcXA0YMMAXJiRp/PjxKisr0xdffOGrGTNmjN9zjh8/Xrm5uZKkiooKbdq0ya/GbrdrzJgxvppNmzapsrLSr6Zfv34644wzfDW1nTx5UmVlZX4/AAAAgJV0CHUDNTwej2677TZdcMEFSk9P993/i1/8Qr169VJKSoq2bdumu+++Wzt37tQ//vEPSVJxcbFfmJDku11cXNxgTVlZmU6cOKFDhw7J7XYHrNmxY4fvOaKiotSlS5c6NTWvU9v8+fM1b968Jv4mAAAAgLYjbALFzJkzlZ+fr3//+99+9994442+/z1gwAAlJyfroosu0q5du9S3b9/WbrNJ5s6dq9mzZ/tul5WVqWfPniHsCAAAADBXWAx5mjVrlt599119+OGH6tGjR4O1I0aMkCR99dVXkqSkpKQ6Ky3V3E5KSmqwJi4uTtHR0erWrZsiIiIC1pz6HBUVFTp8+HC9NbV17NhRcXFxfj8AAACAlYQ0UHi9Xs2aNUtvvfWWPvjgA6WmpjZ6zNatWyVJycnJkqSMjAx9/vnnfqsx5eTkKC4uTmlpab6a1atX+z1PTk6OMjIyJElRUVEaMmSIX43H49Hq1at9NUOGDFFkZKRfzc6dO7Vnzx5fDQAAANDehHTI08yZM/X666/r7bffVmxsrG8ugtPpVHR0tHbt2qXXX39dEyZMUEJCgrZt26bbb79do0eP1sCBAyVJ48aNU1pamq699lotWLBAxcXFuu+++zRz5kx17NhRknTTTTfpueee01133aUbbrhBH3zwgd544w2tXLnS18vs2bM1depUDR06VMOHD9fTTz+tY8eO6Ze//KWvp2nTpmn27NmKj49XXFycbrnlFmVkZBha4QkAAACwJG8ISQr48/LLL3u9Xq93z5493tGjR3vj4+O9HTt29J555pneO++80+tyufyeZ/fu3d6LL77YGx0d7e3WrZv3jjvu8FZWVvrVfPjhh95BgwZ5o6KivH369PG9xqn++Mc/es844wxvVFSUd/jw4d7169f7PX7ixAnvzTff7O3atas3JibG+9Of/tRbVFRk+N/rcrm8kur0DwAAALQWs89Jw2ofCqtjHwoAAACEmtnnpGGzyhMAAADQHrg9XuUVlqrkSLkSYx0anhqvCLst1G0FjUABAAAAtAK3x6vnPvhSL3+yW4dPVPruT3Y6lDUpTZnpySHsLnhhsWwsAAAAYGXZ+UUa8nCOnvrXl35hQpKKXeWasXSzsvOLQtRd8xAoAAAAgBaUnV+kGUs36/DxyoCP10xonreiQG5P25veTKAAAAAAWojb49W8FQVqLCZ4JRW5ypVXWNoabZmKQAEAAAC0kLzCUhW5yg3XlxwxXhsuCBQAAABAC2lqQEiMdbRQJy2HQAEAAAC0kKYEhGRn9RKybQ2BAgAAAGghw1Pjlex0yMguE1mT0trkfhQECgAAAKCFRNhtypqUJkn1hoouMZFaNGVwm92Hgo3tAAAAgCAZ2fU6Mz1ZC6cM1rwVBX4TtLvEROqXP0jVrJ+c2SavTNQgUAAAAABByM4vqhMS6tv1OjM9WWPTkhoNH22Rzev1tr3dM9qosrIyOZ1OuVwuxcXFhbodAAAABKlms7raJ9I18WBhGA9hMvuclDkUAAAAQBM0tFldW9/1OhgECgAAAKAJGtusri3veh0MAgUAAADQBEY3q2uLu14Hg0ABAAAANIHRzera4q7XwSBQAAAAAE3Q2GZ1NrXdXa+DQaAAAAAAmqChzepqbrfVXa+DQaAAAAAAmqhms7okp/+wpiSnI6yXjG0JbGwHAAAABMHKm9U1BYECAAAAkHSiwq1HVxVo98Hj6p0Qo3smpCk6KqLBYyLsNmX0TWilDsMTgQIAAADt3vRXNyqnoMR3e+2X0mvr92hsWqIWXzcshJ2FP+ZQAAAAoN1ye7z62cJP/MLEqXIKSjT91Y2t3FXbwhUKAAAAtEvZ+UXKevsL7T9yssG6nIISnahwNzr8qb3iCgUAAADanez8Is1YurnRMFHj0VUFLdxR20WgAAAAQLvi9ng1b0WBvE04ZvfB4y3WT1tHoAAAAEC7kldYqiJXeZOO6Z0Q00LdtH0ECgAAALQrJUeaFiYk6Z4JaS3QiTUQKAAAANCuJMY6Gi86xdi0RCZkN4BAAQAAgHZleGq8kp0OGdnPmn0oGkegAAAAQLsSYbcpa1L1EKb6QsXos7pp++8yCRMGECgAAABgKW6PV7m7Durtrd8pd9dBuT1113PKTE/WwimDleT0H/6U7HRo0ZTBenXaCIY5GcTGdgAAALCM7PwizVtR4LeKU7LToaxJacpMT/arzUxP1ti0JOUVlqrkSLkSYx0anhqvCLuRwVCoYfN6vU1ZghfNUFZWJqfTKZfLpbi4uFC3AwAAYCk1m9XVPrmtiQcLpwyuEyraI7PPSRnyBAAAgDavoc3qau6bt6Ig4PAnNA+BAgAAAG1eY5vVeSUVucqVV1jaek21EwQKAAAAtHlGN6sLZlM7NIxAAQAAgDbP6GZ1Td3UDo0jUAAAAKDNa2yzOpuqV3sanhrfmm21CwQKAAAAhL0TFW7dv/xzXfvnDbp/+ec6UeH2e7yhzepqbmdNSmNJ2BbAsrGtiGVjAQAAmm76qxuVU1BS5/6xaYl1drJuyj4U7ZXZ56QEilZEoAAAAGiaX72yUf/aXjdM1AgUKtweL5vVNcDsc1J2ygYAAEBYemfz3gbDhCTlFJToRIVb0VERvvsi7DZl9E1o6fbwf5hDAQAAgLCTnV+k37zxmaHaR1cVtHA3aAiBAgAAAGGlZtdro3YfPN6C3aAxBAoAAACElcZ2va6td0JMC3aDxhAoAAAAEFaaupv1PRPSWqgTGEGgAAAAQFhpym7WY9MS/SZko/URKAAAABBWGtv1usaY/nWXjEXrI1AAAAAgrDS063WNZ39+nv40lTARDggUAAAACDuZ6claOGWwkpz+w5+SnQ4tmjJYlw7uEaLOUBsb2wEAACAsZaYna2xaErtehzkCBQAAAMIWu16HP4Y8AQAAAAgagQIAAABA0AgUAAAAAIJGoAAAAAAQNAIFAAAAgKARKAAAAAAEjUABAAAAIGgECgAAAABBI1AAAAAACBqBAgAAAEDQCBQAAAAAgkagAAAAABA0AgUAAACAoBEoAAAAAASNQAEAAAAgaAQKAAAAAEEjUAAAAAAIWodQNwAAAIDw4fZ4lVdYqpIj5UqMdWh4arwi7LZQt4UwRqAAAACAJCk7v0jzVhSoyFXuuy/Z6VDWpDRlpieHsDOEM4Y8AQAAQNn5RZqxdLNfmJCkYle5ZizdrOz8ohB1hnBHoAAAAGjn3B6v5q0okDfAYzX3zVtRILcnUAXaOwIFAABAO5dXWFrnysSpvJKKXOXKKyxtvabQZhAoAAAA2rmSI/WHiWDq0L4QKAAAANq5xFiHqXVoXwgUAAAA7dzw1HglOx2qb3FYm6pXexqeGt+abaGNIFAAAAC0cxF2m7ImpUlSnVBRcztrUhr7USAgAgUAAICFuT1e5e46qLe3fqfcXQfrXakpMz1ZC6cMVpLTf1hTktOhhVMGsw8F6sXGdgAAABbV1I3qMtOTNTYtiZ2y0SQ2r9fLgsKtpKysTE6nUy6XS3FxcaFuBwAAWFjNRnW1T/RqogFXHdovs89JGfIEAABgMWxUh9ZEoAAAALAYNqpDayJQAAAAWAwb1aE1ESgAAAAsho3q0JoIFAAAABbDRnVoTQQKAAAAi2GjOrQmAgUAAIAFsVEdWgsb2wEAAFgUG9WhNRAoAAAALCzCblNG34RQtwELY8gTAAAAgKARKAAAAAAEjUABAAAAIGgECgAAAABBY1I2AABAGHF7vKzKhDYlpFco5s+fr2HDhik2NlaJiYmaPHmydu7c6VdTXl6umTNnKiEhQZ07d9YVV1yh/fv3+9Xs2bNHEydOVExMjBITE3XnnXeqqqrKr+ajjz7S4MGD1bFjR5155plasmRJnX6ef/559e7dWw6HQyNGjFBeXl6TewEAAAhWdn6RLnzsA129eL1u/dtWXb14vS587ANl5xeFujWgXiENFB9//LFmzpyp9evXKycnR5WVlRo3bpyOHTvmq7n99tu1YsUKvfnmm/r444+1b98+XX755b7H3W63Jk6cqIqKCq1bt06vvPKKlixZogceeMBXU1hYqIkTJ+rHP/6xtm7dqttuu02/+tWv9N577/lqli1bptmzZysrK0ubN2/Weeedp/Hjx6ukpMRwLwAAAMHKzi/SjKWbVeQq97u/2FWuGUs3EyoQtmxer9cb6iZqHDhwQImJifr44481evRouVwunXbaaXr99df1s5/9TJK0Y8cO9e/fX7m5uRo5cqT++c9/6pJLLtG+ffvUvXt3SdKiRYt0991368CBA4qKitLdd9+tlStXKj8/3/daV111lQ4fPqzs7GxJ0ogRIzRs2DA999xzkiSPx6OePXvqlltu0Zw5cwz10piysjI5nU65XC7FxcWZ+rsDAABtl9vj1YWPfVAnTNSwqXqH63/f/ROGP6HZzD4nDatJ2S6XS5IUHx8vSdq0aZMqKys1ZswYX02/fv10xhlnKDc3V5KUm5urAQMG+MKEJI0fP15lZWX64osvfDWnPkdNTc1zVFRUaNOmTX41drtdY8aM8dUY6aW2kydPqqyszO8HAACgtrzC0nrDhCR5JRW5ypVXWNp6TQEGhU2g8Hg8uu2223TBBRcoPT1dklRcXKyoqCh16dLFr7Z79+4qLi721ZwaJmoer3msoZqysjKdOHFC33//vdxud8CaU5+jsV5qmz9/vpxOp++nZ8+eBn8bAACgPSk5Un+YCKYOaE1hEyhmzpyp/Px8/e1vfwt1K6aZO3euXC6X7+fbb78NdUsAACAMJcY6TK0DWlNYBIpZs2bp3Xff1YcffqgePXr47k9KSlJFRYUOHz7sV79//34lJSX5amqvtFRzu7GauLg4RUdHq1u3boqIiAhYc+pzNNZLbR07dlRcXJzfDwAAQG3DU+OV7HSovtkRNknJzuolZIFwE9JA4fV6NWvWLL311lv64IMPlJqa6vf4kCFDFBkZqdWrV/vu27lzp/bs2aOMjAxJUkZGhj7//HO/1ZhycnIUFxentLQ0X82pz1FTU/McUVFRGjJkiF+Nx+PR6tWrfTVGegEAAAhGhN2mrEnV5y21Q0XN7axJaUzIRlgK6SpPN998s15//XW9/fbbOuecc3z3O51ORUdHS5JmzJihVatWacmSJYqLi9Mtt9wiSVq3bp2k6mVjBw0apJSUFC1YsEDFxcW69tpr9atf/UqPPvqopOplY9PT0zVz5kzdcMMN+uCDD/Sb3/xGK1eu1Pjx4yVVLxs7depUvfjiixo+fLiefvppvfHGG9qxY4dvbkVjvTSGVZ4AAEBDsvOLNG9Fgd8E7WSnQ1mT0pSZnhzCzmAlpp+TekNI1YsW1Pl5+eWXfTUnTpzw3nzzzd6uXbt6Y2JivD/96U+9RUVFfs+ze/du78UXX+yNjo72duvWzXvHHXd4Kysr/Wo+/PBD76BBg7xRUVHePn36+L1GjT/+8Y/eM844wxsVFeUdPny4d/369X6PG+mlIS6XyyvJ63K5DB8DAADalyq3x7vuq++9y7fs9a776ntvldsT6pZgMWafk4bVPhRWxxUKAADaF7fHq7zCUpUcKVdibPUcCIYtIdTMPiftYEJPAAAAqIXhS2gvwmKVJwAAACvJzi/SjKWb62xWV+wq14ylm5WdXxSizgDzESgAAABM5PZ4NW9FgQKNKa+5b96KArk9jDqHNTDkCQAAoJlOnSvx/ZGTda5MnMorqchVrrzCUmX0TWi9JoEWQqAAAABohkBzJYwoOdK0eiBcESgAAACCVDNXIpjBS4mxDtP7AUKBQAEAABCEhuZKNMQmKclZvYQsYAVMygYAAAhCXmFpk4c51exAkTUpjf0oYBlcoQAAAAhCMHMgktiHAhZEoAAAAAiC0TkQ90/sr26xHdkpG5ZFoAAAAAjC8NR4JTsdKnaVB5xHUTNX4voLUgkRsDTmUAAAAAQhwm5T1qQ0Sf+dG1GDuRJoTwgUAAAAQcpMT9bCKYOV5PQf/pTkdGjhlMHMlUC7wJAnAACAZshMT9bYtCTfTtnMlUB7Q6AAAABopgi7TRl9E0LdBhASDHkCAAAAEDQCBQAAAICgESgAAAAABI1AAQAAACBoBAoAAAAAQWOVJwAA0K64PV6WeAVMRKAAAADtRnZ+keatKFCRq9x3X7LToaxJaWxCBwSJIU8AAKBdyM4v0oylm/3ChCQVu8o1Y+lmZecXhagzoG0jUAAAAMtze7yat6JA3gCP1dw3b0WB3J5AFQAaQqAAAACWl1dYWufKxKm8kopc5corLG29pgCLIFAAAADLKzlSf5gIpg7AfxEoAACA5SXGOkytA/BfBAoAAGB5w1Pjlex0qL7FYW2qXu1peGp8a7YFWAKBAgAAWF6E3aasSWmSVCdU1NzOmpTGfhRAEAgUAACgXchMT9bCKYOV5PQf1pTkdGjhlMHsQwEEiY3tAABAu5GZnqyxaUnslA2YiEABAADapKPlVbp92RbtOXRCZ3SN1lNXnq/OjsZPbSLsNmX0TWiFDoH2gUABAADanEufW6tte8t8t3cWH1H6g+9pYI84vTNrVAg7A9of5lAAAIA2pXaYONW2vWW69Lm1rdwR0L4RKAAAQJtxtLyq3jBRY9veMh0tr2qljgAQKAAAQJtx+7ItptYBaD4CBQAAaDP2HDphah2A5iNQAACANuOMrtGm1gFoPgIFAABoM5668nxT6wA0H4ECAAC0GZ0dHTSwR1yDNQN7xBnajwKAOQgUAACgTXln1qh6QwX7UACtj/gOAADanHdmjQp6p2wA5uL/dQAAoE3q7OigxVOHhboNoN0jUAAAgJBxe7zKKyxVyZFyJcY6NDw1XhF2W6jbAtAEBAoAABAS2flFmreiQEWuct99yU6HsialKTM9OYSdAWgKJmUDAIBWl51fpBlLN/uFCUkqdpVrxtLNys4vClFnAJqKQAEAAFqV2+PVvBUF8gZ4rOa+eSsK5PYEqgAQbggUAACgVeUVlta5MnEqr6QiV7nyCktbrykAQWMOBQAAaHEVVR69lrtb35QeV9mJSkPHlBypP3QACB8ECgAA0KLmryrQ4rWFauoIpsRYR8s0BMBUBAoAANBi5q8q0ItrCpt0jE1SkrN6CVkA4Y85FAAAoEVUVHm0eG3Tw4QkZU1KYz8KoI3gCgUAAGgRr+XubvIwpyT2oQDaHAIFAAAwzamTrwv2lRk6ZlxaoiYOTGGnbKCNIlAAAABTBDv5ekRqgi4bdHrLNAWgxREoAABAswUz+VqS7Dbp2oze5jcEoNUwKRsAADRLMJOva0wflaqoDpyOAG0ZVygAAEBQ3B6v8gpLtWzjniYPc7LbqsPE3AlpLdMcgFZDoAAAAE2WnV+keSsKVOQyvpv10F5dlJbiVK/4GF2b0ZsrE4BFECgAAECTZOcXacbSzWriRQldnJ6saaP6tEhPAEKHrwYAAIBhbo9X81YUNDlMMPkasC6uUAAAgAbVzJUoOVKu74+cbNIwpxpMvgasi0ABAADqFcxciVMx+RqwPgIFAAAIaNW2fbr59S1BHTsurbtGpMYz+RpoBwgUAACgjlXbijTrf5seJmySkpwOLZwyRBF2m/mNAQg7BAoAAOAnO79IN7++ucnH1cSHrElphAmgHSFQAAAAn5pVnIKR5HQoa1KaMtOTTe4KQDgjUAAAAJ+8wtImTcC+f2J/dYvtqMRYh4anxnNlAmiHCBQAALRzFVUevZa7W9+UHlfZiUrDxyU7Hbr+glRCBNDOESgAAGin3B6vfvO/m7Xq8+Imb1QnMVcCQDUCBQAA7VB2fpF+87etqqjyNPlYu0167urzmSsBQBKBAgCAdic7v0g3LW36Kk41nrt6sCYMJEwAqEagAACgHXF7vHrwnS+COjaZVZwABECgAACgHckrLFVx2UnD9ePSEjVxYAqrOAGoF4ECAACLO1pepduXbdGeQycU2cRAMCI1QZcNOr2FOgNgBQQKAAAs7NLn1mrb3rKgjrXZpGszepvbEADLsYe6AQAA0DKaEyYk6VcXpiqqA6cKABrGpwQAABZ0tLyqWWFibFqi7p2YZmJHAKyKIU8AAFjQ7cu2BHWcI9KuP1xxni4ZlGJyRwCsikABAIAF7Tl0wlBdjy7Rmnx+iiSbMvomaGSfBFZyAtAkBAoAACzA7fEqr7BUJUfKlRjrUM+u0dpZfKTR4/onx+q34/u1QocArIpAAQBAG5edX6R5KwpU5Cr33Xdap0hDxz515fkt1RaAdoJAAQBAG5adX6QZSzfLW+v+749VNnrswB5x6uzgVABA87DKEwAAbZTb49W8FQV1woQkeSXZJHWoZz7EwB5xemfWqJZsD0A7wdcSAAC0MTXzJT756oDfMKfavJKqPF69fN1Qvb5xj/YcOqEzukbrqSvP58oEANPwaQIAQBvyzua9uvutz3Wi0mP4mLKKKi2eOqwFuwLQnhEoAABoI4Ld+Tox1tEC3QBANQIFAABtwK9e2djkMGGTlOR0aHhqfMs0BQBiUjYAAGHvRIVb/9pe0qRjaqZiZ01KY6M6AC2KKxQAAIS5R1cVNPmYJKdDWZPSlJme3AIdAcB/ESgAAAhzuw8eN1w768dn6oIzu2l4ajxXJgC0CgIFAABhrndCjNZ+2XhddKRdt489myABoFUxhwIAgDB3z4Q0Q3WP/XQAYQJAqyNQAAAQYm6PV7m7Durtrd8pd9dBuT3+e19HR0VobFpig88xsEecLh3coyXbBICAGPIEAEAIZecXad6KAr8dr5MDTKhefN0wTX91o3IK6q72NKZ/ov7ExnUAQsTm9Xq9jZfBDGVlZXI6nXK5XIqLiwt1OwCAEMvOL9KMpZtV+w9xzaClhVMG11ml6USFW4+uKtDug8fVOyFG90xIU3RURKv0C8AazD4nDemQpzVr1mjSpElKSUmRzWbT8uXL/R6//vrrZbPZ/H4yMzP9akpLS3XNNdcoLi5OXbp00bRp03T06FG/mm3btmnUqFFyOBzq2bOnFixYUKeXN998U/369ZPD4dCAAQO0atUqv8e9Xq8eeOABJScnKzo6WmPGjNGXXxqYIQcAQAClRys06/W6YUKS7755KwoCDn96aPIAvTZthB6aPIAwASDkQhoojh07pvPOO0/PP/98vTWZmZkqKiry/fzv//6v3+PXXHONvvjiC+Xk5Ojdd9/VmjVrdOONN/oeLysr07hx49SrVy9t2rRJjz/+uB588EG99NJLvpp169bp6quv1rRp07RlyxZNnjxZkydPVn5+vq9mwYIFevbZZ7Vo0SJt2LBBnTp10vjx41VeXi4AAJrih49/oMEP56jKU3+NV1KRq1x5haWt1hcABCNshjzZbDa99dZbmjx5su++66+/XocPH65z5aLG9u3blZaWpo0bN2ro0KGSpOzsbE2YMEF79+5VSkqKFi5cqHvvvVfFxcWKioqSJM2ZM0fLly/Xjh07JElXXnmljh07pnfffdf33CNHjtSgQYO0aNEieb1epaSk6I477tBvf/tbSZLL5VL37t21ZMkSXXXVVYb+jQx5AgD88PEP9M3BE4brn7lqkC4bdHoLdgSgvbHUkCcjPvroIyUmJuqcc87RjBkzdPDgQd9jubm56tKliy9MSNKYMWNkt9u1YcMGX83o0aN9YUKSxo8fr507d+rQoUO+mjFjxvi97vjx45WbmytJKiwsVHFxsV+N0+nUiBEjfDUAADTGdbyySWFCkhJjHS3UDQCYI6xXecrMzNTll1+u1NRU7dq1S/fcc48uvvhi5ebmKiIiQsXFxUpM9F9Gr0OHDoqPj1dxcbEkqbi4WKmpqX413bt39z3WtWtXFRcX++47tebU5zj1uEA1gZw8eVInT5703S4rK2vKPx8AYDE3LMkzXGuTlOR0aHhqfMs1BAAmCOtAcepQogEDBmjgwIHq27evPvroI1100UUh7MyY+fPna968eaFuAwAQJva5mjbvLmtSGhvVAQh7YT/k6VR9+vRRt27d9NVXX0mSkpKSVFLivx53VVWVSktLlZSU5KvZv3+/X03N7cZqTn381OMC1QQyd+5cuVwu38+3337bpH8vAKDtqqjy6M9rv9YDb+frz2u/VkWVRylOY8OXIu2Bl4wFgHDUpgLF3r17dfDgQSUnV3/AZmRk6PDhw9q0aZOv5oMPPpDH49GIESN8NWvWrFFlZaWvJicnR+ecc466du3qq1m9erXfa+Xk5CgjI0OSlJqaqqSkJL+asrIybdiwwVcTSMeOHRUXF+f3AwCwvkdWFuic+/+ph1Zu16u53+ihldvV7/5/Kj3F2N+BDfeMJUwAaDNCGiiOHj2qrVu3auvWrZKqJz9v3bpVe/bs0dGjR3XnnXdq/fr12r17t1avXq3LLrtMZ555psaPHy9J6t+/vzIzMzV9+nTl5eXpk08+0axZs3TVVVcpJSVFkvSLX/xCUVFRmjZtmr744gstW7ZMzzzzjGbPnu3r49Zbb1V2draeeOIJ7dixQw8++KA+/fRTzZo1S1L1ClS33XabHn74Yb3zzjv6/PPPdd111yklJcVvVSoAQPvm9nh1xcJPtHhtoWqvoejxSq+s36M4R8OjjXslRCu+c1SDNQAQTkK6bOxHH32kH//4x3Xunzp1qhYuXKjJkydry5YtOnz4sFJSUjRu3Dg99NBDfpOjS0tLNWvWLK1YsUJ2u11XXHGFnn32WXXu3NlXs23bNs2cOVMbN25Ut27ddMstt+juu+/2e80333xT9913n3bv3q2zzjpLCxYs0IQJE3yPe71eZWVl6aWXXtLhw4d14YUX6oUXXtDZZ59t+N/LsrEAYF3Z+UW6+/9tk6u8qsE6u03q0cWhPYfqzqfolRCtj+/8SUu1CACSzD8nDZt9KNoDAgUAWFN2fpFuWrrZcP39E/vrZ0N66oYledrnKleK06G/XD9czpjIFuwSAKqZfU4a1qs8AQAQ7iqqPJr7j21NOuab0uNyxkTq7zdf0EJdAUDrIVAAABCk7Pwi/fbNbTp6suFhTrX1io9poY4AoPURKAAACEJThznVsNmkazN6m98QAIRIm1o2FgCAcOD2ePXgO18EdeyvLkxVVAf+/AKwDq5QAABgUEWVR6/l7taGwlIVl51s8vFj0xJ178S0FugMAEKHQAEAgAHzVxVo8dpCeYJYG9ERadcfrjhPlwxKMb8xAAgxAgUAAA2oqPJo6p/zlFt4MKjjfzb4dD32s/MUYbeZ3BkAhAcCBQAA9Zi/qkAvrSlUsBs2JTsdhAkAlkegAAAggPmrCvTimsJmPUfWpDTCBADLY5kJAABqqajyaPHa4MNE15hILZoyWJnpySZ2BQDhiSsUAAD8n6PlVbp92RZt/fZwkydfX9A3Qeef0VUZfRM0sk8CVyYAtBsECgAAJF363Fpt21sW1LF2m/TyL4ezvwSAdolAAQBo19wer8Y++ZG+/v540M8xfRSb1QFovwgUAIB2Kzu/SFnvfKH9QWxSJ1VfmZg+KlVzJ7BZHYD2i0ABAGiXsvOLNGPp5qCXhB3ZJ16v3jCCKxMA2j0CBQCg3XF7vJq3oiCoMMFVCQDwR6AAALQ7eYWlKnKVN+mYHl2i9csLeuvajN5clQCAUxAoAADthtvjVV5hqf6ZX9TkY7NvG63ODv5sAkBtfDICANqFVduKdN/b+So9VtHkYwf2iCNMAEA9+HQEAFhaRZVHU/+yXrlfHwrq+IE94vTOrFEmdwUA1kGgAABYktvj1a1/26KV24qCmnw98PQ4vT49gysTANCIZn1KVlRUqLCwUH379lWHDnzgAgDCQ3Z+kWYv26rjlZ4mH5vsdChrUpoy05NboDMAsJ6gUsDx48d1yy236JVXXpEk/ec//1GfPn10yy236PTTT9ecOXNMbRIAAKOy84t009LNTT7uuoxeujg9WcNT4xVht7VAZwBgTUGtezd37lx99tln+uijj+RwOHz3jxkzRsuWLTOtOQAAmsLt8Wr2G58FdezF6cnK6JtAmACAJgrqCsXy5cu1bNkyjRw5Ujbbfz94zz33XO3atcu05gAAaIp1X36v4xXuJh+X0ClKw1PjW6AjALC+oALFgQMHlJiYWOf+Y8eO+QUMAABaWs3eEiVHyvXGxm+Deo6HLkvnygQABCmoQDF06FCtXLlSt9xyiyT5QsSf/vQnZWRkmNcdAAANyM4v0oPvFKi4rGm7Xp/q16NTNWEgE7ABIFhBBYpHH31UF198sQoKClRVVaVnnnlGBQUFWrdunT7++GOzewQAoI5gJ1/XcHSw68mfn6cJA1NM7AoA2p+gJmVfeOGF2rp1q6qqqjRgwAC9//77SkxMVG5uroYMGWJ2jwAA+Kmo8uiON4ObfC1JE9KT9MXvMgkTAGACm9frDWa/HwShrKxMTqdTLpdLcXFxoW4HANqkVduKdPc/tulIeVVQx0+7sLfuv+Rck7sCgLbD7HPSoIY8rVq1ShERERo/frzf/e+99548Ho8uvvjiZjcGAEBtj6z8QovX7g7qWLtNmj4qVXMnpJnbFAC0c0EFijlz5uj3v/99nfu9Xq/mzJlDoAAAmMrt8eo3/7tZKz8vbtJxF/RNUN/EzuoVH6NrM3orqkNQI30BAA0IKlB8+eWXSkur+w1Pv3799NVXXzW7KQAAavx9017d9fdtcnuaPkL35h+dqQvO6tYCXQEAagQVKJxOp77++mv17t3b7/6vvvpKnTp1MqMvAAA07OEcHThaEdSxXWIiNbJvgskdAQBqC+ra72WXXabbbrvNb1fsr776SnfccYcuvfRS05oDALRPbo9Xwx95P+gwIUm/v3wAm9UBQCsIKlAsWLBAnTp1Ur9+/ZSamqrU1FT1799fCQkJ+sMf/mB2jwCAdmTVtiIN/t17KjlSGdTx3WOjtGjKYGWms1kdALSGoIc8rVu3Tjk5Ofrss88UHR2tgQMHavTo0Wb3BwBoR+avKtCLawqDPv62i87SLRedxZUJAGhF7EPRitiHAgDqt2rbPt38+pagj58+qrfuncj+EgDQmJDtQ/Hss8/qxhtvlMPh0LPPPttg7W9+85tmNwYAaD/cHq/uezs/6OOnj0rVvRPZXwIAQsHwFYrU1FR9+umnSkhIUGpqav1PaLPp66+/Nq1BK+EKBQAElrvroK5evL7Jx8VE2fWHnw3ShIHMlwAAo0J2haKwsDDg/wYAoKkqqjx6LXe3vik9rl7xMeoSE9Xk53BGd9Dm+8cxXwIAQqzJk7IrKyvVr18/vfvuu+rfv39L9AQAsLD5qwq0eG2hTt2nztbETHBGvENr7rrI3MYAAEFpcqCIjIxUeXl5S/QCALC4+lZxMro8SGq3GC2/+UI5YyJN7gwAEKyg9qGYOXOmHnvsMVVVVZndDwDAoiqqPM1aEvbXo1P14W9/TJgAgDAT1D4UGzdu1OrVq/X+++9rwIAB6tSpk9/j//jHP0xpDgBgHcMf/ZehulhHBx0p/+8XVvGdIvXwZemaMDClpVoDADRDUIGiS5cuuuKKK8zuBQBgUZf+ca0OHze28/XkQSmaMCBFJUfKlRjr0PDUeCZeA0AYa1Kg8Hg8evzxx/Wf//xHFRUV+slPfqIHH3xQ0dHRLdUfAKCNO1pepW3flRmu753QSRl9E1qwIwCAmZoUKB555BE9+OCDGjNmjKKjo/Xss8/qwIED+stf/tJS/QEA2iC3x6u8wlKVHCnXq+t2Gz7OJunajN4t1RYAoAU0KVC8+uqreuGFF/TrX/9akvSvf/1LEydO1J/+9CfZ7UHN7wYAWMyqbUW67+18lR6raPKxEwcmK6oDf08AoC1pUqDYs2ePJkyY4Ls9ZswY2Ww27du3Tz169DC9OQBA23Giwq3LF36i7UVHgjreLumZq843tykAQItrUqCoqqqSw+Hwuy8yMlKVlcYm2gEArGn6qxuVU1DSrOd48mcDmXwNAG1QkwKF1+vV9ddfr44dO/ruKy8v10033eS3dCzLxgJA+/GrV/L0r+0HmvUcvRKiNXloT5M6AgC0piYFiqlTp9a5b8qUKaY1AwBoW97e8l2zw8TA0+P0zi2jTOoIANDamhQoXn755ZbqAwDQhpQerdAlz67RvrKTTT52yBlddLTCrTO6RuupK89XZ0dQWyIBAMIEn+IAgCYZ9nCODhxt+gpOkpTQKUpv3PQD5koAgIUQKAAAhg188D2VlVcFffxDl6UTJgDAYljsGwBgyP/L29OsMPHr0amaMDDZxI4AAOGAKxQAgEa5PV7d9dbnQR0babfpmasGacLAFJO7AgCEAwIFAKBReYWl8nibftzgM7roTeZMAIClESgAAI0qOVLe5GOeuXKQLjv/9BboBgAQTggUAIA6TlS49eiqAu0+eFy9E2I05pzuho89rVOkHvrpAGWmM18CANoDAgUAwM/0Vzcqp6DEd3vtl9Jr6/coqoNdFVWeBo+Nc3TQ+nvHMsQJANoRAgUAwKd2mDiVkTCx7cHxLdEWACCMESgAAJKqhznVFyZOldg5UiVHK323I2zSYz8doJ8NP6Ml2wMAhCkCBQC0c8WHy3XJH9eo9Fhl48WSxp2brIkDU1RypFyJsQ4NT41niBMAtGMECgBox/rf/0+dqGx4KFNt35QeV0bfhBbqCADQ1rBTNgC0U8GECUnqnRDTAt0AANoqrlAAQDvj9nj1/tZ9QYUJSbpnQprJHQEA2jICBQC0E0fLq/SLxbn6Yl+Z3EHsei1JY9MSFR0VYW5jAIA2jUABAO3Apc+t1ba9Zc16jrFpiVp83TCTOgIAWAWBAgAsrjlhooNNunrEGbpnQhpXJgAAAREoAMDCDpSdbNaViX/ffZGSujhM7AgAYDUECgCwqIZ2vTYiOtJOmAAANIpAAQAWNG3JBq3e8X3Qx0dH2rX9oYtN7AgAYFUECgCwmN+t+CLoMNGtU6TevWU0VyYAAIYRKADAIo6WV2niH9fom4Mngjp+0ZTBykxPNrkrAIDVESgAwAIm/XGNPv/uSFDHdrDb9NwvzidMAACCQqAAgDbM7fHqB/P/pf1HKoI6vs9pMcq5/UeKsNvMbQwA0G4QKACgjcrOL9LsNz7T8Qp3UMdvvGeMTovraHJXAID2hkABAG1Qdn6Rblq6Oejjx6YlEiYAAKawh7oBAEDTuD1ePfhOQdDHX9SvmxZfN8zEjgAA7RlXKACgjaio8ui13N3aUHhQxWXlQT3HDRf01gOTzjW5MwBAe0agAIA24JGVBfrTvwvl9QZ3vN0mTR+VqrkT0sxtDADQ7hEoACDM/eqVjfrX9pKgj0+Ki9Kauy5SVAdGuQIAzEegAIAwlvXO580KE73io/XxXT8xsSMAAPwRKAAgTP3qlTz9a/uBoI//ZUYvZV2WbmJHAADURaAAgDBzoOykfvT4BzpW6Qnq+M4dI7TgioGaMDDF5M4AAKiLQAEAYWTgg++prLyqycdd2DdBg87ooow+3TSybwI7XwMAWg2BAgDCxICsbB052fRdr+026S+/HM6kawBASPDXBwDCwL3/+CyoMCFJ0y5MJUwAAEKGKxQAEEIVVR5N/XOecgsPBnX8mP6Juncie0sAAEKHQAEAIfLIygItXlsY9PFTf3CG5l06wMSOAABoOgIFALQyt8ern7+4Tpu+ORz0c4zpfxphAgAQFggUANCKsvOLNOfvn+vwicqgn2P6qFSGOQEAwgaBAgBayaptRbr59c1BHx/Vwa78B8czARsAEFYIFADQClZt26dZ/7sl6ONjO0bo83mZJnYEAIA5CBQA0IIK9pZp4nNr5W3Gc1wzvIceufw803oCAMBMIb1uvmbNGk2aNEkpKSmy2Wxavny53+Ner1cPPPCAkpOTFR0drTFjxujLL7/0qyktLdU111yjuLg4denSRdOmTdPRo0f9arZt26ZRo0bJ4XCoZ8+eWrBgQZ1e3nzzTfXr108Oh0MDBgzQqlWrmtwLAJyq95yVmtCMMGG3Sb8enUqYAACEtZAGimPHjum8887T888/H/DxBQsW6Nlnn9WiRYu0YcMGderUSePHj1d5ebmv5pprrtEXX3yhnJwcvfvuu1qzZo1uvPFG3+NlZWUaN26cevXqpU2bNunxxx/Xgw8+qJdeeslXs27dOl199dWaNm2atmzZosmTJ2vy5MnKz89vUi8AUKP3nJXNOn5karx2PHSx5k5g8jUAILzZvF5vc67Em8Zms+mtt97S5MmTJVVfEUhJSdEdd9yh3/72t5Ikl8ul7t27a8mSJbrqqqu0fft2paWlaePGjRo6dKgkKTs7WxMmTNDevXuVkpKihQsX6t5771VxcbGioqIkSXPmzNHy5cu1Y8cOSdKVV16pY8eO6d133/X1M3LkSA0aNEiLFi0y1IsRZWVlcjqdcrlciouLM+X3BiD8vPBhgRa8F/z+EmPTErX4umEmdgQAwH+ZfU4atkuFFBYWqri4WGPGjPHd53Q6NWLECOXm5kqScnNz1aVLF1+YkKQxY8bIbrdrw4YNvprRo0f7woQkjR8/Xjt37tShQ4d8Nae+Tk1NzesY6SWQkydPqqyszO8HgLX96pWNQYcJR6Rdz101iDABAGhTwjZQFBcXS5K6d+/ud3/37t19jxUXFysxMdHv8Q4dOig+Pt6vJtBznPoa9dWc+nhjvQQyf/58OZ1O30/Pnj0b+VcDaMumLcnTv7aXNPk4m0267aKz9MW8TF0y6PQW6AwAgJYTtoHCCubOnSuXy+X7+fbbb0PdEoAW8rt38rV6x4Ggjn3+6vN129izFWG3mdwVAAAtL2wDRVJSkiRp//79fvfv37/f91hSUpJKSvy/DayqqlJpaalfTaDnOPU16qs59fHGegmkY8eOiouL8/sBYD3zVxXoL+u+afJxsRHSoimDNWFgSgt0BQBA6wjbQJGamqqkpCStXr3ad19ZWZk2bNigjIwMSVJGRoYOHz6sTZs2+Wo++OADeTwejRgxwlezZs0aVVZW+mpycnJ0zjnnqGvXrr6aU1+npqbmdYz0AqB9qqjyaPHa4OZMbH1ogjLTk03uCACA1hXSje2OHj2qr776yne7sLBQW7duVXx8vM444wzddtttevjhh3XWWWcpNTVV999/v1JSUnwrQfXv31+ZmZmaPn26Fi1apMrKSs2aNUtXXXWVUlKqv/H7xS9+oXnz5mnatGm6++67lZ+fr2eeeUZPPfWU73VvvfVW/fCHP9QTTzyhiRMn6m9/+5s+/fRT39KyNput0V4AtB9uj1d5haUqOVKuT3eXyhPEWnm7fz/R/MYAAAiBkC4b+9FHH+nHP/5xnfunTp2qJUuWyOv1KisrSy+99JIOHz6sCy+8UC+88ILOPvtsX21paalmzZqlFStWyG6364orrtCzzz6rzp07+2q2bdummTNnauPGjerWrZtuueUW3X333X6v+eabb+q+++7T7t27ddZZZ2nBggWaMGGC73EjvTSGZWOBti87v0jzVhSoyBXcHjR3jU/VzT9mbwkAQOiYfU4aNvtQtAcECqDtch2v1E9f+Le+/v540M8xpn+i/jSVJWEBAKFl9jlpSIc8AUBb8MPHP9A3B0806zku6ncaYQIAYEkECgBowAXzc/Sdq6JZz3HDD3rpgUvTTeoIAIDwQqAAgHpc+PvVzQoTdps0fVSq5k5gzgQAwLoIFAAQwLCHc3TgaNPDxLUjz5DNZlOv+Bhdm9FbUR3CdnVuAABMQaAAgFrm/H1Lk8OETVKS06EHL01nx2sAQLtCoACAU1z6x7Xa9l1ZUMdmTUojTAAA2h0CBQBIOlHh1tgnP9Lew03fX6J7XEfNu/Rcdr0GALRLBAoA7d70Vzcqp6AkqGO7x0Vp3ZyLuDIB/P/27jwu6zLf//ib7QZcEBUUcMU9XDJLkQqtkQIl25wzZtbRxiwdtSnL1DK3Y6PH5nemvebUGelMUx077YI0hrkVuSUqoaZGWQnqaAjkgnBfvz8a7hO5f+8v3Nvr+XjweEjf6/o8Prdccd9vr+8CIGARKAAEtLtf2aCPdhyyNLdNM4c+mXmdzR0BAOBbCBQAAtZ7Bd9bDhNtoyO0bsYQmzsCAMD3ECgABJwjlVXKfHqNSspPWpof28RBmAAA4J8IFAACRo3T6LL5H6r8RI3lGrf1T9CiEZfZ2BUAAL6NQAEgICwr+F6T3yhwq0afNlGECQAAfoFAAcDvuXPhda20S1rp5TH9beoIAAD/QaAA4NfGLtmgVbush4m2zSO04oFrFOkIsa8pAAD8CIECgN8a/sxabbf41GtJSrskVi+PGWBjRwAA+B8CBQC/U3miWtc8sVL/+PGU5RpP3dZXN/VtY2NXAAD4JwIFAL9y47Nrte0767sSrZo4NP/mXsroFW9jVwAA+C8CBQC/4W6YiIoIUf4jaQoJDrKxKwAA/BuBAoBfKD74o1thIjIsWNvmZtjYEQAAgYFAAcDn9Zn7ocpPVFue/6/J7TX/lt42dgQAQOAgUADwWXtKK5X25GrL8zvHNNLy+wfLERpsY1cAAAQWAgUAn1NV7VS3WcvdqtG7TZQ+mJJqU0cAAAQuAgUAn7Iwp0h/XlPsVg2eLwEAgH0IFAB8hrthIkjS9rnpahLBrz4AAOzCicMAfML3R467vTPxwh39CBMAANiMd1YAXq/3nFxVnKyxPD8qVFp8Wz8eVgcAQD0gUADwWkcqq9RvwQq3ajRyBGvL3AweVgcAQD0hUADwSlcs+Lv+UXnKrRpREaHaNjfdpo4AAMCZECgAeJ3ec3NVccL6KU6StPGRNMVGhdvUEQAAOBsCBQCvUeM0mvDXTW6Hia8XZdrUEQAAOB8CBQCvkLOtRA+/tVWVblx8fWXHaL024SobuwIAAOdDoADgcY9nF+mlte7dEnZ8aqIezUyyqSMAAHChCBQAPOrx7C/00tqvLc93hEiF84bKEcpjdQAA8AQCBQCPeXvjt26FiciwYO34t6H2NQQAAC4agQKAR9z4zFpt+77c8vx/H9FbI/u3t7EjAABgBYECQIOqcRpdszhP35adtDQ/MixYhfN4UB0AAN6CQAGgweQWlmjCq59bnn/nwPb6t5t729gRAABwF4ECQIN4c+M+TXtru+X5z99+mYb1SbCxIwAAYAcCBYB6VVXtVN/5H+pYldNyjZzJqUpqG2VjVwAAwC4ECgD15rF3tumv6791uw5hAgAA70WgAFAvesxarhPV1nclan29KNOGbgAAQH0hUACw1dFjp9R3/t9l3Kzz2PDuGndVF1t6AgAA9YdAAcA2qf+ep29/OOFWjbbR4Vr98BBuCwsAgI8gUACwReKMbLd3JYIlrZuRZkc7AACggQR7ugEAvq2q2qmONoSJ0GDpK66XAADA57BDAcCyeR9s15JP9rldZ81D16p9TCMbOgIAAA2NQAHAksFPrNQ3h4+7VSOmSZg2zbrepo4AAIAnECgAXLS7sja4HSaeGNFH/9K/nU0dAQAATyFQALgoS9YV6+Odh9yq8eId/ZTRK96mjgAAgCcRKABckBqnUddHc+R04+rr63rE6sV/7c8tYQEA8CMECgDn9cHW/Zry+ha3aoxPTdSjmUk2dQQAALwFgQLAOY3/741aUXTQrRrP336ZhvVJsKkjAADgTQgUAM5qxtsFboWJIEl7/jCMU5wAAPBjBAoAZ9Rrdq4qq2osz38wrZumpHW1sSMAAOCNCBQA6jheVaOk2bluPfnaERJEmAAAIEAQKAC4jMtar7yd/3CrRliw9OXjw2zqCAAAeDsCBQAdr6pR/wV/V2WV0606C2/pqVHJHe1pCgAA+AQCBRDg7NiVCJa0m4uvAQAISAQKIIClLsrTt2Un3KrRPTZSHz74K5s6AgAAvoZAAQSo1MUr3Q4TfdpG6f3JqTZ1BAAAfBGBAghAY/9rvb49ctzy/OAgaducdDWJ4FcIAACBjk8DQIAZ9edPlF9cZnm+IySIuzgBAAAXAgUQIGqcRp0fyXGrxqDOzfXf46+0qSMAAOAPCBRAAPjP1Tv1h+V73arx7G19dUPfNjZ1BAAA/AWBAvBzHWdkuze/ZSPlPXgNt4QFAABnRKAA/Ji7YWLc1R302A29bOoGAAD4IwIF4KcS3QgT0RGh2jDrOjlCg23sCAAA+CM+LQB+pvJEtTrOyJaxOP+arjEqmJtOmAAAABeEHQrAj9zw9BoV7q+wPD8lMVpZ45Jt7AgAAPg7AgXgB45UVunyBSss70pIUpCk1++9yq6WAABAgCBQAD7uigV/1z8qT7lVI0hS8aJMexoCAAABhUAB+LCkWdk6Vu1ejdQuLfXXuwfa0xAAAAg4BArAR3WZma1qd85xkrRjfoYiHSH2NAQAAAISgQLwMTVOo+6zctwKE5ziBAAA7MJ9IQEfkltYou6P5Kjaab1GaDBhAgAA2IcdCsBH5BaWaMKrn7tVY81D16p9TCObOgIAACBQAD5hT2mlW2GiaUSots9Nt7EjAACAnxAoAC9W4zTq8kiOW8+XaNssXOtmptnWEwAAwM9xDQXgpV799Ct1djNM/PbKDoQJAABQr9ihALxQ4oxst596vWvBUDlC+TcDAABQvwgUgJfpOCPbrflhIUHa/fgwm7oBAAA4N/75EvASx6tqlOhmmBh7dWvCBAAAaFDsUABe4Pb//ESfflXmdp25N1zhfjMAAAAXgUABeJi7pzjV+pqH1QEAAA/glCfAQ4oP/mhLmOjY3EGYAAAAHsMOBeAB7t7FqVbh3HQ1ieB/YwAA4Dl8EgEamB27Es0jgrVl7lAbugEAAHAPgQJoQJ1tCBOxTRzaOOs6G7oBAABwH4ECaCBJs7JV42aNz2ddpxZNHLb0AwAAYAcCBVDPapxGgxZ9pGPV1ms0DQ/R9nkZ9jUFAABgEwIFUI9ytu3X717b4laNxbf01G+SO9rTEAAAgM0IFEA9mfN+oV759Bu3ajx/ez8N6xNvU0cAAAD2I1AA9WDQ4pXad+S45flBkl64o58yehEmAACAdyNQADZLXZSnb8tOWJ4/cXBnPZTeXSHBQTZ2BQAAUD8IFICNMp9abTlMBEna84dhBAkAAOBTCBSADXbtr1D602ssz28UKhUtyLSxIwAAgIYR7OkGzmXu3LkKCgqq89WjRw/X8RMnTmjSpElq2bKlmjRpohEjRujAgQN1auzbt0+ZmZlq1KiRWrVqpWnTpqm6uu79O1etWqV+/fopPDxcXbp0UVZW1mm9PPfcc+rYsaMiIiKUnJysDRs21Mtrhu/pOCPbrTDRNSaSMAEAAHyWVwcKSerZs6dKSkpcX+vWrXMde+CBB/TBBx/ozTff1OrVq7V//37deuutruM1NTXKzMxUVVWVPv30U73yyivKysrS7NmzXWOKi4uVmZmpa6+9VgUFBbr//vt1991368MPP3SN+Z//+R9NnTpVc+bM0eeff65LL71U6enpOnjwYMP8JcArFR/8UR3dfPJ1sKQVD/3KnoYAAAA8IMgYYzzdxNnMnTtX7777rgoKCk47dvToUcXGxuq1117Tr3/9a0nSzp07dckllyg/P18DBw7U8uXLdcMNN2j//v1q3bq1JOnFF1/U9OnTdejQITkcDk2fPl3Z2dkqLCx01b7ttttUVlam3NxcSVJycrL69++vZ599VpLkdDrVrl07TZkyRTNmzLjg11NeXq5mzZrp6NGjioqKsvrXAi/QaUa2nG7WCAuWdv+BnQkAANCw7P5M6vU7FLt371ZCQoI6deqk0aNHa9++fZKkzZs369SpU0pLS3ON7dGjh9q3b6/8/HxJUn5+vnr37u0KE5KUnp6u8vJyffHFF64xP69RO6a2RlVVlTZv3lxnTHBwsNLS0lxjzubkyZMqLy+v8wXfVnmiWh1tCBN3JLcnTAAAAL/g1RdlJycnKysrS927d1dJSYnmzZun1NRUFRYWqrS0VA6HQ9HR0XXmtG7dWqWlpZKk0tLSOmGi9njtsXONKS8v1/Hjx/XDDz+opqbmjGN27tx5zv4XLlyoefPmXfTrhnca/swabf++wq0azSJCtXHWdXKEen2WBwAAuCBeHSiGDh3q+nOfPn2UnJysDh06aOnSpYqMjPRgZxdm5syZmjp1quv78vJytWvXzoMdwarBT6zUN4etP6hOknrGN1H27wfb1BEAAIB38Kl/Jo2Ojla3bt20Z88excXFqaqqSmVlZXXGHDhwQHFxcZKkuLi40+76VPv9+cZERUUpMjJSMTExCgkJOeOY2hpnEx4erqioqDpf8D1vbvrW7TCRdkkrwgQAAPBLPhUoKisrtXfvXsXHx+vyyy9XWFiY8vLyXMd37dqlffv2KSUlRZKUkpKi7du317kb04oVKxQVFaWkpCTXmJ/XqB1TW8PhcOjyyy+vM8bpdCovL881Bv5r/vtfaNr/bnOrxo75GXp5TH+bOgIAAPAuXn3K00MPPaThw4erQ4cO2r9/v+bMmaOQkBCNGjVKzZo107hx4zR16lS1aNFCUVFRmjJlilJSUjRw4EBJ0vXXX6+kpCTdeeedWrx4sUpLSzVr1ixNmjRJ4eHhkqQJEybo2Wef1cMPP6zf/va3WrlypZYuXars7P+7HejUqVM1ZswYXXHFFRowYICefPJJ/fjjj7rrrrs88veC+lfjNPrVH1fqmyPWnnpd6+tFXHgNAAD8m1cHiu+++06jRo3S4cOHFRsbq6uvvlqfffaZYmNjJUl/+tOfFBwcrBEjRujkyZNKT0/X888/75ofEhKiZcuWaeLEiUpJSVHjxo01ZswYzZ8/3zUmMTFR2dnZeuCBB/TUU0+pbdu2evnll5Wenu4aM3LkSB06dEizZ89WaWmp+vbtq9zc3NMu1IZ/yC0s0YRXP3erRteWDq2Ydp1NHQEAAHgvr34Ohb/hORTe7/X132jmO4XnH3gOv72yg2bf2MumjgAAAOxl92dSr96hABpKjdOo6yM5bj1fIljSs7f307A+8Xa1BQAA4PUIFAh4H2zdrymvb7E8PzhIWjK2v67uGquQ4CAbOwMAAPB+BAoEtHFZ65W38x9u1fhiXoYiHSE2dQQAAOBbCBQIWOn/72PtOnTMrRrXJbUiTAAAgIBGoEBA6jgj+/yDzuO6pFZ66V95vgQAAAhsBAoElD2llUp7crVbNUKDpO2c5gQAACCJQIEAYseuRERosHYuGGpDNwAAAP4h2NMNAA3BjjAxuGtLwgQAAMAvsEMBv1ZV7VS3WcvdrvPUbX11U982NnQEAADgXwgU8FuPZxfppbXFbtd58Y5+yujFw+oAAADOhEABv3T3Kxv10Y6DbtfZ+4dhPKwOAADgHLiGAn7nkXe2uh0mBndtqa8XZRImAAAAzoMdCviNGqdRn7m5+rHK6VadHfO5JSwAAMCFIlDAL+QWlmjCq5+7VSMiRNr5eKZNHQEAAAQGTnmCz/vbZ9+4HSaS4psSJgAAACxghwI+rcvMbFUb92oM6RGr/xo7wJ6GAAAAAgyBAj6r04xsuXe1hPTMqMs0/NIEW/oBAAAIRAQK+Jyqaqd6PLbcrTCR2Nyhj6alcRcnAAAANxEo4FMe/t8tWrppv9t1Pp5+nQ3dAAAAgEABn5E4I1tuXi4hSfp6ERdfAwAA2IVAAa93vKpGl8zOdbvOuxOuUt+O0e43BAAAABcCBbzauKyNytvp3lOvJXYlAAAA6guBAl5r8BMr9c3h427VeOyG7hp3dRebOgIAAMAvESjglea+t93tMLH3D8O4ixMAAEA940nZ8DrLCvYrK3+f5fmOkCB9vSiTMAEAANAACBTwKm9u+laT39hieX7T8BB9+fgwGzsCAADAuXDKE7zGFQv+rn9UnrI8f+MjaYqNCrexIwAAAJwPgQJeof+CFZbDRLCkr7iLEwAAgEcQKOBxRyqrdKiyytLcf7s5SXcOTLS5IwAAAFwoAgU8osZp9NlXh5W/97D+tv4bSzW+XDBUjlAuAwIAAPAkAgUaXG5hiWa8vV1lx6xfL/Hkr/sQJgAAALwAgQINKmdbiX732udu1ejQMlI3X9HOpo4AAADgDv6JFw0mZ9t+TX7dvTDRp02UVk/7lU0dAQAAwF3sUKBB5BaW6HevWX++RFiwtGV2uppEsGQBAAC8CZ/OUO9qnEbzPiiyPD+2iUMbZ11nY0cAAACwC4EC9aKq2qm/5n+tb44ckzFGJUdPXNT8xuEhatMsQm/cc6VaNHHUU5cAAABwF4ECtluYU6SX1hbLaazNj4sK1yczhigkOMjexgAAAGA7AgVstTCnSH9eU+xWjbk39iRMAAAA+Aju8gTbVFU79dJa62EiulGYXryjnzJ6xdvYFQAAAOoTOxSwRY3T6O5XNlo+zen3Q7roviHd2JkAAADwMQQKuO39z7/Tg29t06mai08T8c0iNGd4ErsSAAAAPopAAbfc+Oxabfuu/KLm3Dmwva7o2EKtmkZoQGILdiUAAAB8GIECllRVO3XD02v15cHKi5oXHCQ9dkNPOUK5fAcAAMAfEChw0dy5k9P41ETCBAAAgB8hUOCiLPigSC9/Yi1M3NAnXjOHJdncEQAAADyJQIELUuM0mvLaZuUUHrA0v3VTh5667TKbuwIAAICnEShwXh9s3a8HlxaoysJdnGrNu6kXF18DAAD4IQIFzmn8f2/UiqKDluc3DQ/WE//Sl9vCAgAA+CkCBc6oxml03+ufuxUmOsU20ooHrmFnAgAAwI8RKHCanG379eg7hfrh+CnLNdIuaaWXx/S3sSsAAAB4IwIF6nDnlrCSdEl8U7098SpFOkJs7AoAAADeikABl5xtJW6FibuvStSs4dwWFgAAIJAQKCDppydfT397m+X5467uqFk3ECYAAAACDYECyi0s0SPvFKriRPVFzw0Kku5JTeSBdQAAAAGKQBHgcgtLNPHVz2XlCRPdWjfWsimD5AgNtr0vAAAA+AYCRYCqcRp99tVhzXhr+0WHiSBJd6d21KOZPeujNQAAAPgQAkUAyi0s0bwPilRy9MRFzx1xWRstHNGHXQkAAABIIlAElBqn0bMrd+tPH+22NP/eQVwrAQAAgLoIFAEiZ1uJZr1XqCM/Vl303KiIUC26tY+G9Ymvh84AAADgywgUAeDx7C/00tqvLc1t2dih/JlDOMUJAAAAZ0Sg8HOPZxdZChNBtfNv6UWYAAAAwFkRKPxYzrYSvbTW2pOv45pFaM7wJGX04jQnAAAAnB2Bwk/VOI1mvVd40fOiG4XpuVH9NLBzS4UEB51/AgAAAAIagcJPbSg+ctEXYAdJWnRrb13VNaZ+mgIAAIDf4eR4P3Ww4uKeMREXFa4X7ujHKU4AAAC4KOxQ+KlWTSMueOz9Q7pqypCunOIEAACAi8YOhZ8akNhC8c3OHyrGp3bU/dd1I0wAAADAEgKFnwoJDtKc4Uk6V0wYn5qoRzN7NlhPAAAA8D8ECj+W0SteL9zR77SdipaNHXr+9n56NDPJQ50BAADAX3ANhZ/L6BWv65LitKH4iA5WnFCrphEakNiCU5wAAABgCwJFAAgJDlJK55aebgMAAAB+iFOeAAAAAFhGoAAAAABgGYECAAAAgGUECgAAAACWESgAAAAAWEagAAAAAGAZgQIAAACAZQQKAAAAAJYRKAAAAABYRqAAAAAAYBmBAgAAAIBlBAoAAAAAlhEoAAAAAFhGoAAAAABgGYECAAAAgGUECgAAAACWESgAAAAAWBbq6QYCiTFGklReXu7hTgAAABCoaj+L1n42dReBogFVVFRIktq1a+fhTgAAABDoKioq1KxZM7frBBm7ognOy+l0av/+/WratKmCgoI83Q5sVl5ernbt2unbb79VVFSUp9uBF2Ft4GxYGzgb1gbOxo61YYxRRUWFEhISFBzs/hUQ7FA0oODgYLVt29bTbaCeRUVF8csfZ8TawNmwNnA2rA2cjbtrw46diVpclA0AAADAMgIFAAAAAMsIFIBNwsPDNWfOHIWHh3u6FXgZ1gbOhrWBs2Ft4Gy8cW1wUTYAAAAAy9ihAAAAAGAZgQIAAACAZQQKAAAAAJYRKBCw5s6dq6CgoDpfPXr0cB0/ceKEJk2apJYtW6pJkyYaMWKEDhw4UKfGvn37lJmZqUaNGqlVq1aaNm2aqqur64xZtWqV+vXrp/DwcHXp0kVZWVmn9fLcc8+pY8eOioiIUHJysjZs2FAvrxlntmbNGg0fPlwJCQkKCgrSu+++W+e4MUazZ89WfHy8IiMjlZaWpt27d9cZc+TIEY0ePVpRUVGKjo7WuHHjVFlZWWfMtm3blJqaqoiICLVr106LFy8+rZc333xTPXr0UEREhHr37q2cnJyL7gX2Od/aGDt27Gm/RzIyMuqMYW34p4ULF6p///5q2rSpWrVqpZtvvlm7du2qM8ab3kcupBfY40LWxjXXXHPa744JEybUGeNTa8MAAWrOnDmmZ8+epqSkxPV16NAh1/EJEyaYdu3amby8PLNp0yYzcOBAc+WVV7qOV1dXm169epm0tDSzZcsWk5OTY2JiYszMmTNdY7766ivTqFEjM3XqVFNUVGSeeeYZExISYnJzc11j3njjDeNwOMxf/vIX88UXX5jx48eb6Ohoc+DAgYb5i4DJyckxjz76qHn77beNJPPOO+/UOb5o0SLTrFkz8+6775qtW7eaG2+80SQmJprjx4+7xmRkZJhLL73UfPbZZ2bt2rWmS5cuZtSoUa7jR48eNa1btzajR482hYWF5vXXXzeRkZHmz3/+s2vMJ598YkJCQszixYtNUVGRmTVrlgkLCzPbt2+/qF5gn/OtjTFjxpiMjIw6v0eOHDlSZwxrwz+lp6ebJUuWmMLCQlNQUGCGDRtm2rdvbyorK11jvOl95Hy9wD4XsjYGDx5sxo8fX+d3x9GjR13HfW1tECgQsObMmWMuvfTSMx4rKyszYWFh5s0333T9tx07dhhJJj8/3xjz0weN4OBgU1pa6hrzwgsvmKioKHPy5EljjDEPP/yw6dmzZ53aI0eONOnp6a7vBwwYYCZNmuT6vqamxiQkJJiFCxe6/Rpx8X75odHpdJq4uDjzxBNPuP5bWVmZCQ8PN6+//roxxpiioiIjyWzcuNE1Zvny5SYoKMh8//33xhhjnn/+edO8eXPX2jDGmOnTp5vu3bu7vv/Nb35jMjMz6/STnJxs7r333gvuBfXnbIHipptuOusc1kbgOHjwoJFkVq9ebYzxrveRC+kF9eeXa8OYnwLF73//+7PO8bW1wSlPCGi7d+9WQkKCOnXqpNGjR2vfvn2SpM2bN+vUqVNKS0tzje3Ro4fat2+v/Px8SVJ+fr569+6t1q1bu8akp6ervLxcX3zxhWvMz2vUjqmtUVVVpc2bN9cZExwcrLS0NNcYeFZxcbFKS0vr/IyaNWum5OTkOmshOjpaV1xxhWtMWlqagoODtX79eteYQYMGyeFwuMakp6dr165d+uGHH1xjzrVeLqQXNLxVq1apVatW6t69uyZOnKjDhw+7jrE2AsfRo0clSS1atJDkXe8jF9IL6s8v10atv/3tb4qJiVGvXr00c+ZMHTt2zHXM19ZG6AWPBPxMcnKysrKy1L17d5WUlGjevHlKTU1VYWGhSktL5XA4FB0dXWdO69atVVpaKkkqLS2t8z967fHaY+caU15eruPHj+uHH35QTU3NGcfs3LnTzpcLi2p/lmf6Gf3859yqVas6x0NDQ9WiRYs6YxITE0+rUXusefPmZ10vP69xvl7QsDIyMnTrrbcqMTFRe/fu1SOPPKKhQ4cqPz9fISEhrI0A4XQ6df/99+uqq65Sr169JMmr3kcupBfUjzOtDUm6/fbb1aFDByUkJGjbtm2aPn26du3apbfffluS760NAgUC1tChQ11/7tOnj5KTk9WhQwctXbpUkZGRHuwMgK+47bbbXH/u3bu3+vTpo86dO2vVqlUaMmSIBztDQ5o0aZIKCwu1bt06T7cCL3O2tXHPPfe4/ty7d2/Fx8dryJAh2rt3rzp37tzQbbqNU56Af4qOjla3bt20Z88excXFqaqqSmVlZXXGHDhwQHFxcZKkuLi40+6CUPv9+cZERUUpMjJSMTExCgkJOeOY2hrwrNqfw7l+RnFxcTp48GCd49XV1Tpy5Igt6+Xnx8/XCzyrU6dOiomJ0Z49eySxNgLB5MmTtWzZMn388cdq27at67970/vIhfQC+51tbZxJcnKyJNX53eFLa4NAAfxTZWWl9u7dq/j4eF1++eUKCwtTXl6e6/iuXbu0b98+paSkSJJSUlK0ffv2Oh8WVqxYoaioKCUlJbnG/LxG7ZjaGg6HQ5dffnmdMU6nU3l5ea4x8KzExETFxcXV+RmVl5dr/fr1ddZCWVmZNm/e7BqzcuVKOZ1O15tESkqK1qxZo1OnTrnGrFixQt27d1fz5s1dY861Xi6kF3jWd999p8OHDys+Pl4Sa8OfGWM0efJkvfPOO1q5cuVpp6150/vIhfQC+5xvbZxJQUGBJNX53eFTa+OCL98G/MyDDz5oVq1aZYqLi80nn3xi0tLSTExMjDl48KAx5qfbqLVv396sXLnSbNq0yaSkpJiUlBTX/Npbul1//fWmoKDA5ObmmtjY2DPe0m3atGlmx44d5rnnnjvjLd3Cw8NNVlaWKSoqMvfcc4+Jjo6uc2cH1K+KigqzZcsWs2XLFiPJ/Md//IfZsmWL+eabb4wxP92OMzo62rz33ntm27Zt5qabbjrjbWMvu+wys379erNu3TrTtWvXOrcGLSsrM61btzZ33nmnKSwsNG+88YZp1KjRabcGDQ0NNX/84x/Njh07zJw5c854a9Dz9QL7nGttVFRUmIceesjk5+eb4uJi89FHH5l+/fqZrl27mhMnTrhqsDb808SJE02zZs3MqlWr6tz689ixY64x3vQ+cr5eYJ/zrY09e/aY+fPnm02bNpni4mLz3nvvmU6dOplBgwa5avja2iBQIGCNHDnSxMfHG4fDYdq0aWNGjhxp9uzZ4zp+/Phx87vf/c40b97cNGrUyNxyyy2mpKSkTo2vv/7aDB061ERGRpqYmBjz4IMPmlOnTtUZ8/HHH5u+ffsah8NhOnXqZJYsWXJaL88884xp3769cTgcZsCAAeazzz6rl9eMM/v444+NpNO+xowZY4z56Zacjz32mGndurUJDw83Q4YMMbt27apT4/Dhw2bUqFGmSZMmJioqytx1112moqKizpitW7eaq6++2oSHh5s2bdqYRYsWndbL0qVLTbdu3YzD4TA9e/Y02dnZdY5fSC+wz7nWxrFjx8z1119vYmNjTVhYmOnQoYMZP378af8YwNrwT2daF5Lq/I73pveRC+kF9jjf2ti3b58ZNGiQadGihQkPDzddunQx06ZNq/McCmN8a20E/fOFAwAAAMBF4xoKAAAAAJYRKAAAAABYRqAAAAAAYBmBAgAAAIBlBAoAAAAAlhEoAAAAAFhGoAAAAABgGYECAAAAgGUECgCAT+jYsaOefPJJT7cBAPgFAgUAoMGNHTtWQUFBCgoKksPhUJcuXTR//nxVV1efdc7GjRt1zz33NGCXAIALEerpBgAAgSkjI0NLlizRyZMnlZOTo0mTJiksLEwzZ86sM66qqkoOh0OxsbEe6hQAcC7sUAAAPCI8PFxxcXHq0KGDJk6cqLS0NL3//vsaO3asbr75Zj3++ONKSEhQ9+7dJZ1+ylNZWZnuvfdetW7dWhEREerVq5eWLVvmOr5u3TqlpqYqMjJS7dq103333acff/yxoV8mAPg9digAAF4hMjJShw8fliTl5eUpKipKK1asOONYp9OpoUOHqqKiQq+++qo6d+6soqIihYSESJL27t2rjIwMLViwQH/5y1906NAhTZ48WZMnT9aSJUsa7DUBQCAgUAAAPMoYo7y8PH344YeaMmWKDh06pMaNG+vll1+Ww+E445yPPvpIGzZs0I4dO9StWzdJUqdOnVzHFy5cqNGjR+v++++XJHXt2lVPP/20Bg8erBdeeEERERH1/roAIFBwyhMAwCOWLVumJk2aKCIiQkOHDtXIkSM1d+5cSVLv3r3PGiYkqaCgQG3btnWFiV/aunWrsrKy1KRJE9dXenq6nE6niouL6+PlAEDAYocCAOAR1157rV544QU5HA4lJCQoNPT/3pIaN258zrmRkZHnPF5ZWal7771X991332nH2rdvb61hAMAZESgAAB7RuHFjdenSxdLcPn366LvvvtOXX355xl2Kfv36qaioyHJ9AMCF45QnAIDPGTx4sAYNGqQRI0ZoxYoVKi4u1vLly5WbmytJmj59uj799FNNnjxZBQUF2r17t9577z1NnjzZw50DgP8hUAAAfNJbb72l/v37a9SoUUpKStLDDz+smpoaST/tYKxevVpffvmlUlNTddlll2n27NlKSEjwcNcA4H+CjDHG000AAAAA8E3sUAAAAACwjEABAAAAwDICBQAAAADLCBQAAAAALCNQAAAAALCMQAEAAADAMgIFAAAAAMsIFAAAAAAsI1AAAAAAsIxAAQAAAMAyAgUAAAAAywgUAAAAACz7/x2AI8XGxKwdAAAAAElFTkSuQmCC\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### ONE HOT ENCODING (In order to train the model to use features)"],"metadata":{"id":"TE4zeR1fJzjo"}},{"cell_type":"code","source":["latop=pd.get_dummies(laptopprice)\n","latop"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":505},"id":"mEWjbXEr21eu","executionInfo":{"status":"ok","timestamp":1688565086023,"user_tz":-330,"elapsed":384,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"d0c72014-d3f5-4182-d355-cc3db113467b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Price  brand_APPLE  brand_ASUS  brand_Avita  brand_DELL  brand_HP  \\\n","0     34649            0           1            0           0         0   \n","1     38999            0           0            0           0         0   \n","2     39999            0           0            0           0         0   \n","3     69990            0           1            0           0         0   \n","4     26990            0           1            0           0         0   \n","..      ...          ...         ...          ...         ...       ...   \n","813  135990            0           1            0           0         0   \n","814  144990            0           1            0           0         0   \n","815  149990            0           1            0           0         0   \n","816  142990            0           1            0           0         0   \n","817   57490            0           0            0           0         0   \n","\n","     brand_Lenovo  brand_MSI  brand_acer  processor_name_Celeron Dual  ...  \\\n","0               0          0           0                            0  ...   \n","1               1          0           0                            0  ...   \n","2               1          0           0                            0  ...   \n","3               0          0           0                            0  ...   \n","4               0          0           0                            1  ...   \n","..            ...        ...         ...                          ...  ...   \n","813             0          0           0                            0  ...   \n","814             0          0           0                            0  ...   \n","815             0          0           0                            0  ...   \n","816             0          0           0                            0  ...   \n","817             1          0           0                            0  ...   \n","\n","     ssd_512   hdd_0   hdd_1024   hdd_2048   hdd_512   graphic_card_gb_0   \\\n","0           0       0          1          0         0                   1   \n","1           0       0          1          0         0                   1   \n","2           0       0          1          0         0                   1   \n","3           1       1          0          0         0                   0   \n","4           0       0          0          0         1                   1   \n","..        ...     ...        ...        ...       ...                 ...   \n","813         0       1          0          0         0                   1   \n","814         0       1          0          0         0                   1   \n","815         0       1          0          0         0                   0   \n","816         0       1          0          0         0                   0   \n","817         1       1          0          0         0                   1   \n","\n","     graphic_card_gb_2   graphic_card_gb_4   graphic_card_gb_6   \\\n","0                     0                   0                   0   \n","1                     0                   0                   0   \n","2                     0                   0                   0   \n","3                     1                   0                   0   \n","4                     0                   0                   0   \n","..                  ...                 ...                 ...   \n","813                   0                   0                   0   \n","814                   0                   0                   0   \n","815                   0                   1                   0   \n","816                   0                   1                   0   \n","817                   0                   0                   0   \n","\n","     graphic_card_gb_8   \n","0                     0  \n","1                     0  \n","2                     0  \n","3                     0  \n","4                     0  \n","..                  ...  \n","813                   0  \n","814                   0  \n","815                   0  \n","816                   0  \n","817                   0  \n","\n","[811 rows x 47 columns]"],"text/html":["\n","  <div id=\"df-6dc465fa-f623-4547-962f-a7c957a04bfc\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Price</th>\n","      <th>brand_APPLE</th>\n","      <th>brand_ASUS</th>\n","      <th>brand_Avita</th>\n","      <th>brand_DELL</th>\n","      <th>brand_HP</th>\n","      <th>brand_Lenovo</th>\n","      <th>brand_MSI</th>\n","      <th>brand_acer</th>\n","      <th>processor_name_Celeron Dual</th>\n","      <th>...</th>\n","      <th>ssd_512</th>\n","      <th>hdd_0</th>\n","      <th>hdd_1024</th>\n","      <th>hdd_2048</th>\n","      <th>hdd_512</th>\n","      <th>graphic_card_gb_0</th>\n","      <th>graphic_card_gb_2</th>\n","      <th>graphic_card_gb_4</th>\n","      <th>graphic_card_gb_6</th>\n","      <th>graphic_card_gb_8</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>34649</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>38999</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>39999</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>69990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>26990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>813</th>\n","      <td>135990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>814</th>\n","      <td>144990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>815</th>\n","      <td>149990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>816</th>\n","      <td>142990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>817</th>\n","      <td>57490</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>811 rows × 47 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6dc465fa-f623-4547-962f-a7c957a04bfc')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    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Saxena","userId":"14470010596090331838"}},"outputId":"c5d0a5b4-7eba-4173-f89a-5c8bc7a5139a"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['Price', 'brand_APPLE', 'brand_ASUS', 'brand_Avita', 'brand_DELL',\n","       'brand_HP', 'brand_Lenovo', 'brand_MSI', 'brand_acer',\n","       'processor_name_Celeron Dual', 'processor_name_Core i3',\n","       'processor_name_Core i5', 'processor_name_Core i7',\n","       'processor_name_Core i9', 'processor_name_M1',\n","       'processor_name_Pentium Quad', 'processor_name_Ryzen 3',\n","       'processor_name_Ryzen 5', 'processor_name_Ryzen 7',\n","       'processor_name_Ryzen 9', 'processor_gnrtn_10th',\n","       'processor_gnrtn_11th', 'processor_gnrtn_12th', 'processor_gnrtn_4th',\n","       'processor_gnrtn_7th', 'processor_gnrtn_8th', 'processor_gnrtn_9th',\n","       'processor_gnrtn_Not Available', 'ram_gb_16 ', 'ram_gb_32 ',\n","       'ram_gb_4 ', 'ram_gb_8 ', 'ssd_0 ', 'ssd_1024 ', 'ssd_128 ',\n","       'ssd_2048 ', 'ssd_256 ', 'ssd_512 ', 'hdd_0 ', 'hdd_1024 ', 'hdd_2048 ',\n","       'hdd_512 ', 'graphic_card_gb_0 ', 'graphic_card_gb_2 ',\n","       'graphic_card_gb_4 ', 'graphic_card_gb_6 ', 'graphic_card_gb_8 '],\n","      dtype='object')"]},"metadata":{},"execution_count":109}]},{"cell_type":"markdown","source":["Converting to numpy arrays"],"metadata":{"id":"BzqG_amDKEkJ"}},{"cell_type":"code","source":["latop_numpy=latop.values\n","latop_numpy"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yTmYELVB6Zqi","executionInfo":{"status":"ok","timestamp":1688565094050,"user_tz":-330,"elapsed":394,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"e310760f-9fdd-4d1b-90f2-5a54e92a266b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 34649,      0,      1, ...,      0,      0,      0],\n","       [ 38999,      0,      0, ...,      0,      0,      0],\n","       [ 39999,      0,      0, ...,      0,      0,      0],\n","       ...,\n","       [149990,      0,      1, ...,      1,      0,      0],\n","       [142990,      0,      1, ...,      1,      0,      0],\n","       [ 57490,      0,      0, ...,      0,      0,      0]])"]},"metadata":{},"execution_count":110}]},{"cell_type":"code","source":["x_train=latop_numpy[:,1:47:1]\n","y_train=latop_numpy[:,0]"],"metadata":{"id":"NfhIjd6MAtSG"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### Defining gradient descent for linear regression algorithm from scratch"],"metadata":{"id":"a8hPjVe9KOpM"}},{"cell_type":"code","source":["def predict(x,w,b):\n","  p=np.dot(x,w)+b\n","  return p"],"metadata":{"id":"pg05FOl2ChbT"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def computecost(x,y,w,b):\n","  m=x.shape[0]\n","  cost=0.0\n","  for i in range(m):\n","    f_wb_i=np.dot(x[i],w)+b\n","    cost=cost+(f_wb_i-y[i])**2\n","  cost=cost/(2*m)\n","  return cost"],"metadata":{"id":"HPJ-0VRUHDsc"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def computegradient(x,y,w,b):\n","  m,n=x.shape\n","  dj_dw=np.zeros((n,))\n","  dj_db=0.\n","  for i in range(m):\n","    err=(np.dot(x[i],w)+b)-y[i]\n","    for j in range(n):\n","      dj_dw[j]=dj_dw[j]+err*x[i,j]\n","    dj_db=dj_db+err\n","  dj_dw=dj_dw/m\n","  dj_db=dj_db/m\n","\n","  return dj_db,dj_dw"],"metadata":{"id":"815mbkRwctoS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def gradientdescent(x,y,w_in,b_in,cost_function,gradient_function,alpha,num_iters):\n","  J_history=[]\n","  w=copy.deepcopy(w_in)\n","  b=b_in\n","  for i in range(num_iters):\n","    dj_db,dj_dw=gradient_function(x,y,w,b)\n","    w=w-alpha*dj_dw\n","    b=b-alpha*dj_db\n","    if i<100000:\n","      J_history.append(cost_function(x,y,w,b))\n","    if i%math.ceil(num_iters/10)==0:\n","      print(f\"Iteration{i:4d}:Cost{J_history[-1]:8.2f}\")\n","  return w,b,J_history\n"],"metadata":{"id":"rblZoMDueydU"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["initial_w=np.zeros(46)\n","initial_b=0.\n","iterations=10000\n","alpha=5.0e-1\n","w_final,b_final,J_his=gradientdescent(x_train,y_train,initial_w,initial_b,computecost,computegradient,alpha,iterations)\n","\n","print(f\"b,w found by gradient descent:{b_final:0.2f},{w_final}\")\n","m,_=x_train.shape\n","for i in range(m):\n","  print(f\"predictions:{np.dot(x_train[i],w_final)+b_final:0.2f},target value:{y_train[i]}\")"],"metadata":{"id":"Sj2k7BujhJqs","executionInfo":{"status":"ok","timestamp":1688572099213,"user_tz":-330,"elapsed":183543,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"77498ec5-ab61-46e4-a58a-af6b78d1e89b","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Iteration   0:Cost2538597539.09\n","Iteration1000:Cost197766724.31\n","Iteration2000:Cost196663002.63\n","Iteration3000:Cost196565034.86\n","Iteration4000:Cost196550286.85\n","Iteration5000:Cost196546288.23\n","Iteration6000:Cost196544873.92\n","Iteration7000:Cost196544337.91\n","Iteration8000:Cost196544131.53\n","Iteration9000:Cost196544051.75\n","b,w found by gradient descent:47229.02,[ 78117.50140901  -1498.96333726 -23466.30710553   2436.08101987\n","   3452.19074476   1349.1265106   -6531.02285882  -6629.59082557\n"," -61864.94601831  -8348.71371817  14369.9142328   39285.46728506\n","  58217.08263851  -5551.80508675 -18761.45156146 -17591.46820556\n","  -4981.97159958   8700.50105532  43756.4065352    7089.79156353\n","   -381.97799292   2567.91877901  -2683.21787699   9000.56379697\n","  15341.22975277   7250.74092654   9043.96660815  21607.67145869\n","    523.65960631  13700.05027474  11397.63421732 -20246.05947428\n","  21927.98022383  -4485.61679903  62694.67633633 -11857.59875568\n","   -804.3659741    1504.23080049   5520.15391123  -3335.60758875\n","  43540.2384341   -4422.49403503  -4861.26126156  -3590.98968127\n","  12380.88057044  47722.87996448]\n","predictions:39022.78,target value:34649\n","predictions:41870.87,target value:38999\n","predictions:41870.87,target value:39999\n","predictions:74426.00,target value:69990\n","predictions:25480.81,target value:26990\n","predictions:25480.81,target value:22990\n","predictions:25480.81,target value:21990\n","predictions:59000.23,target value:58799\n","predictions:64589.50,target value:49999\n","predictions:76110.48,target value:59990\n","predictions:92082.35,target value:93700\n","predictions:76110.48,target value:72990\n","predictions:3513.46,target value:17490\n","predictions:25480.81,target value:22990\n","predictions:35923.55,target value:35990\n","predictions:38572.29,target value:56490\n","predictions:61290.91,target value:65390\n","predictions:45884.71,target value:32955\n","predictions:68164.57,target value:46200\n","predictions:35923.55,target value:34429\n"]}]},{"cell_type":"code","source":["fig,(ax1,ax2)=plt.subplots(1,2,constrained_layout=True,figsize=(12,4))\n","ax1.plot(J_his)\n","ax2.plot(100+np.arange(len(J_his[100:])),J_his[100:])\n","ax1.set_title(\"Cost vs Iterations\");ax2.set_title(\"Cost vs Iterations(Tail)\")\n","ax1.set_ylabel('Cost');ax2.set_ylabel('Cost')\n","ax1.set_xlabel('iteration step');ax2.set_xlabel('iteration step')\n","plt.show()"],"metadata":{"id":"yzRt_V15kimr","executionInfo":{"status":"ok","timestamp":1688565333355,"user_tz":-330,"elapsed":1402,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"82d10ce0-4483-4491-9b0d-a5b730d60fa9","colab":{"base_uri":"https://localhost:8080/","height":428}},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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Z-score normalisation to help in feature scaling(no need here as all values are 0,1 but still.....)\n"],"metadata":{"id":"sI9jLUvKQ5l-"}},{"cell_type":"code","source":["def zscore_normalisation_features(x):\n","  mu=np.mean(x,axis=0)\n","  sigma=np.std(x,axis=0)\n","  x_norm=(x-mu)/sigma\n","  return(x_norm,mu,sigma)"],"metadata":{"id":"ymmmIdiNQ432"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["x_norm,x_mu,x_sigma=zscore_normalisation_features(x_train)\n","print(f\"x_mu={x_mu},\\nx_sigma={x_sigma}\")\n","print(f\"Peak to Peak range in column in Raw x:{np.ptp(x_train,axis=0)}\")\n","print(f\"Peak to Peak range in column in Normalised x:{np.ptp(x_norm,axis=0)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tGMYwPx1Q-SU","executionInfo":{"status":"ok","timestamp":1688564142769,"user_tz":-330,"elapsed":405,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"37f2f819-d815-484c-975c-264ff2357ab4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["x_mu=[0.03422983 0.30195599 0.01711491 0.18459658 0.16503667 0.17359413\n"," 0.06112469 0.06234719 0.02322738 0.200489   0.35452323 0.13447433\n"," 0.00977995 0.02933985 0.01589242 0.03178484 0.1002445  0.06845966\n"," 0.03178484 0.24938875 0.40831296 0.00366748 0.00122249 0.01100244\n"," 0.05012225 0.00733496 0.26894866 0.21638142 0.00244499 0.27139364\n"," 0.50977995 0.15036675 0.13569682 0.00366748 0.00244499 0.2200489\n"," 0.00122249 0.48655257 0.75427873 0.19437653 0.00122249 0.05012225\n"," 0.6992665  0.08190709 0.15647922 0.04523227],\n","x_sigma=[0.181819   0.45910627 0.12969963 0.38796995 0.37121365 0.37876009\n"," 0.2395589  0.24178506 0.15062494 0.40036628 0.47836859 0.34116123\n"," 0.09840886 0.1687573  0.12505939 0.17542681 0.30032572 0.25253303\n"," 0.17542681 0.43265922 0.4915216  0.06044858 0.0349428  0.10431391\n"," 0.21819718 0.08532972 0.44341321 0.41177725 0.04938633 0.44467869\n"," 0.49990434 0.35743054 0.34246634 0.06044858 0.04938633 0.41427935\n"," 0.0349428  0.49981913 0.43051403 0.39571997 0.0349428  0.21819718\n"," 0.458577   0.27422312 0.36330906 0.20781317]\n","Peak to Peak range in column in Raw x:[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n"," 1 1 1 1 1 1 1 1 1]\n","Peak to Peak range in column in Normalised x:[ 5.49997534  2.17814493  7.7101222   2.57751922  2.69386649  2.64019366\n","  4.17433877  4.1359048   6.6390068   2.49771283  2.09043825  2.93116545\n"," 10.1616867   5.92566959  7.99620072  5.70038303  3.32971813  3.95987799\n","  5.70038303  2.31128784  2.03449857 16.54298485 28.61819743  9.58644949\n","  4.58301064 11.71924582  2.25523276  2.42849747 20.24851725  2.24881478\n","  2.0003827   2.7977464   2.919995   16.54298485 20.24851725  2.41383017\n"," 28.61819743  2.00072373  2.32280468  2.52703952 28.61819743  4.58301064\n","  2.18065889  3.64666555  2.75247747  4.81201447]\n"]}]},{"cell_type":"code","source":["x_features=['brand','processor name','processor gen','ram(in GB)','ssd(in GB)','hdd(in GB)','graphics card(in GB)']"],"metadata":{"id":"RRTN-kddQ-Oj"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["initial_w=np.zeros(46)\n","initial_b=0.\n","iterations=1000\n","alpha=8.0e-2\n","w_norm,b_norm,his=gradientdescent(x_norm,y_train,initial_w,initial_b,computecost,computegradient,alpha,iterations)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DPyd3LO0Q-K4","executionInfo":{"status":"ok","timestamp":1688564233111,"user_tz":-330,"elapsed":15566,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"6b000e00-964d-4d61-dd25-15035672eda2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Iteration   0:Cost3223502105.66\n","Iteration 100:Cost245408114.12\n","Iteration 200:Cost240260271.39\n","Iteration 300:Cost237819326.53\n","Iteration 400:Cost236391290.75\n","Iteration 500:Cost235515568.64\n","Iteration 600:Cost234968988.56\n","Iteration 700:Cost234625067.83\n","Iteration 800:Cost234407761.66\n","Iteration 900:Cost234270124.04\n"]}]},{"cell_type":"code","source":["m=x_norm.shape[0]\n","yp=np.zeros(m)\n","for i in range(m):\n","  yp[i]=np.dot(x_norm[i],w_norm)+b_norm\n","\n","fig,ax=plt.subplots(1,7,figsize=(12,3),sharey=True)\n","for i in range(len(ax)):\n","  ax[i].scatter(x_train[:,i],y_train,label='Target')\n","  ax[i].set_xlabel(x_features[i])\n","  ax[i].scatter(x_train[:,i],yp,label='Prediction')\n","ax[0].set_ylabel(\"Price\");ax[0].legend();\n","fig.suptitle(\"Targer vs prediction using z score normalisation\")\n","plt.show"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":359},"id":"LNn50iFJQ-Gd","executionInfo":{"status":"ok","timestamp":1688564283976,"user_tz":-330,"elapsed":1886,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"51ee6c18-0819-405b-977d-6c0d1c98fc1e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<function matplotlib.pyplot.show(close=None, block=None)>"]},"metadata":{},"execution_count":98},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x300 with 7 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Decision trees algorithm using sci-kit learn"],"metadata":{"id":"bIxiJzFNshbD"}},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","from sklearn.metrics import mean_absolute_percentage_error,  mean_squared_error, mean_absolute_error, r2_score"],"metadata":{"id":"gbcKD7AdspzO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["features_train, features_test, price_train, price_test = train_test_split(x_train, y_train , test_size=0.2, random_state=42)"],"metadata":{"id":"W3FRsVJ5s-QY"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from sklearn.tree import DecisionTreeRegressor\n","\n","decision_tree_regressor_model = DecisionTreeRegressor()\n","decision_tree_regressor_model.fit( features_train , price_train )\n","\n","price_predicted = decision_tree_regressor_model.predict( features_test )\n","\n","price_predicted = np.array( price_predicted )\n","price_test = np.array( price_test )\n","\n","for i in range(20):\n","    print( ( price_predicted[i] , price_test[i] ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W9jCCHrBsoXE","executionInfo":{"status":"ok","timestamp":1688571845085,"user_tz":-330,"elapsed":404,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"636f42b2-d391-48e2-a21d-21bb39cdc7b3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["(80800.54545454546, 97990)\n","(114323.33333333333, 119990)\n","(79596.0, 76990)\n","(82840.0, 84990)\n","(194990.0, 154990)\n","(136823.33333333334, 142990)\n","(68090.0, 102551)\n","(116240.0, 103990)\n","(60490.0, 59990)\n","(57990.0, 233990)\n","(41490.0, 39998)\n","(69417.5, 71990)\n","(58656.666666666664, 57990)\n","(127493.33333333333, 144990)\n","(63366.0625, 55990)\n","(53540.0, 58990)\n","(69994.5, 57990)\n","(55385.666666666664, 45490)\n","(65556.0, 65556)\n","(224990.0, 144690)\n"]}]},{"cell_type":"markdown","source":["###Calculating Errors"],"metadata":{"id":"leKpNv9huGTH"}},{"cell_type":"code","source":["\n","print(\"Mean absolute error is:- \" , mean_absolute_error( price_test , price_predicted ))\n","print(\"Mean absolute percentage error is:- \" , mean_absolute_percentage_error( price_test , price_predicted )*100)\n","print(\"Mean square error is:- \" , mean_squared_error( price_test , price_predicted ))\n","print(\"Root mean square error is:- \" , math.sqrt(mean_squared_error( price_test , price_predicted )) )\n","print(\"R-squared score is:- \" , r2_score( price_test , price_predicted ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"opI_r_LPuEE4","executionInfo":{"status":"ok","timestamp":1688571848290,"user_tz":-330,"elapsed":634,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"33b1f81e-3091-4bdc-d263-a003eb719b06"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mean absolute error is:-  18930.085957958196\n","Mean absolute percentage error is:-  20.551055793668095\n","Mean square error is:-  1155713857.4963505\n","Root mean square error is:-  33995.79176157471\n","R-squared score is:-  0.359515525608869\n"]}]},{"cell_type":"markdown","source":["## Random forest algorithm using sci-kit"],"metadata":{"id":"5-zAQ8EjrDcv"}},{"cell_type":"code","source":["from sklearn.ensemble import RandomForestRegressor\n","\n","random_forest_regressor_model = RandomForestRegressor()\n","random_forest_regressor_model.fit( features_train , price_train )\n","\n","price_predicted = random_forest_regressor_model.predict( features_test )\n","\n","price_predicted = np.array( price_predicted )\n","price_test = np.array( price_test )\n","\n","for i in range(20):\n","    print( ( price_predicted[i] , price_test[i] ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nUUHtBdNrY2C","executionInfo":{"status":"ok","timestamp":1688571867092,"user_tz":-330,"elapsed":393,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"2382f09e-b9a0-4307-a000-f721fc864221"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["(80231.34466963429, 97990)\n","(134746.69333333333, 119990)\n","(75436.39412698412, 76990)\n","(82381.33527561076, 84990)\n","(149789.0611111111, 154990)\n","(136644.07936507938, 142990)\n","(74132.1, 102551)\n","(117333.62337662338, 103990)\n","(62547.26132142856, 59990)\n","(103151.163, 233990)\n","(43252.00833333333, 39998)\n","(69182.47683399933, 71990)\n","(59005.025, 57990)\n","(128113.21103174608, 144990)\n","(63470.64521425394, 55990)\n","(53500.71666666665, 58990)\n","(70657.3702420635, 57990)\n","(55219.84572619048, 45490)\n","(66234.19974358974, 65556)\n","(207386.51333333337, 144690)\n"]}]},{"cell_type":"markdown","source":["Calculating Errors"],"metadata":{"id":"kgROILdYt7Sb"}},{"cell_type":"code","source":["\n","\n","print(\"Mean absolute error is:- \" , mean_absolute_error( price_test , price_predicted ))\n","print(\"Mean absolute percentage error is:- \" , mean_absolute_percentage_error( price_test , price_predicted )*100)\n","print(\"Mean square error is:- \" , mean_squared_error( price_test , price_predicted ))\n","print(\"Root mean square error is:- \" , math.sqrt(mean_squared_error( price_test , price_predicted )) )\n","print(\"R-squared score is:- \" , r2_score( price_test , price_predicted ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3QVHSp25t0-8","executionInfo":{"status":"ok","timestamp":1688571871007,"user_tz":-330,"elapsed":410,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"b96b4f9d-916f-4d82-d54a-39f77508cf5c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mean absolute error is:-  16117.662841432273\n","Mean absolute percentage error is:-  17.502611538553708\n","Mean square error is:-  825769552.0694863\n","Root mean square error is:-  28736.20629222804\n","R-squared score is:-  0.5423671922813345\n"]}]}]}
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@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"18OKK3KafYn158Y8sChWQ3xeY9U8QMx8E","timestamp":1688217248266},{"file_id":"1j-Pa7MK6Vt9UY7t_OA403w_sXVn0zPrU","timestamp":1688134402435},{"file_id":"1ggLWLtMhhmbUOU_VtGmJagGqZW2yccTZ","timestamp":1688106038296}],"authorship_tag":"ABX9TyPQjwexCrs0w4hOu/rIsNir"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","source":["### IMPORTING LIBRARIES"],"metadata":{"id":"Q2Bi-d-fJJIn"}},{"cell_type":"code","source":["import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sb\n","import numpy as np\n","import copy,math\n","import matplotlib.pyplot as plt"],"metadata":{"id":"NvocX13DAE87","executionInfo":{"status":"ok","timestamp":1688563795388,"user_tz":-330,"elapsed":360,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":75,"outputs":[]},{"cell_type":"code","source":["laptop=pd.read_csv('laptopPrice.csv')"],"metadata":{"id":"Xk29AsVXKZTN","executionInfo":{"status":"ok","timestamp":1688563799002,"user_tz":-330,"elapsed":377,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":76,"outputs":[]},{"cell_type":"code","source":["laptop.columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f-f7-kgSzh4e","executionInfo":{"status":"ok","timestamp":1688563800913,"user_tz":-330,"elapsed":4,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"546cbe42-60a7-403c-8125-fa0f440f7635"},"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['brand', 'processor_brand', 'processor_name', 'processor_gnrtn',\n","       'ram_gb', 'ram_type', 'ssd', 'hdd', 'os', 'os_bit', 'graphic_card_gb',\n","       'weight', 'warranty', 'Touchscreen', 'msoffice', 'Price', 'rating',\n","       'Number of Ratings', 'Number of Reviews'],\n","      dtype='object')"]},"metadata":{},"execution_count":77}]},{"cell_type":"markdown","source":["### DATA CLEANING"],"metadata":{"id":"XOAI3qOZJSfa"}},{"cell_type":"code","source":["laptop[\"ram_gb\"] = laptop[\"ram_gb\"].str.replace('GB', '')\n","laptop[\"ssd\"] = laptop[\"ssd\"].str.replace('GB', '')\n","laptop[\"hdd\"] = laptop[\"hdd\"].str.replace('GB', '')\n","laptop[\"graphic_card_gb\"] = laptop[\"graphic_card_gb\"].str.replace('GB', '')"],"metadata":{"id":"Q1Pz3U25zUgc","executionInfo":{"status":"ok","timestamp":1688563802960,"user_tz":-330,"elapsed":378,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":78,"outputs":[]},{"cell_type":"code","source":["laptopprice=laptop[['brand', 'processor_name', 'processor_gnrtn',\n","       'ram_gb', 'ssd', 'hdd', 'graphic_card_gb','Price',]]\n","laptopprice"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"7JzkNCcK5IKP","executionInfo":{"status":"ok","timestamp":1688563804802,"user_tz":-330,"elapsed":392,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"5065c166-4698-4fa1-ac17-59db638c6054"},"execution_count":79,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      brand processor_name processor_gnrtn ram_gb    ssd    hdd  \\\n","0      ASUS        Core i3            10th     4      0   1024    \n","1    Lenovo        Core i3            10th     4      0   1024    \n","2    Lenovo        Core i3            10th     4      0   1024    \n","3      ASUS        Core i5            10th     8    512      0    \n","4      ASUS   Celeron Dual   Not Available     4      0    512    \n","..      ...            ...             ...    ...    ...    ...   \n","813    ASUS        Ryzen 9   Not Available     4   1024      0    \n","814    ASUS        Ryzen 9   Not Available     4   1024      0    \n","815    ASUS        Ryzen 9   Not Available     4   1024      0    \n","816    ASUS        Ryzen 9   Not Available     4   1024      0    \n","817  Lenovo        Ryzen 5            10th     8    512      0    \n","\n","    graphic_card_gb   Price  \n","0                0    34649  \n","1                0    38999  \n","2                0    39999  \n","3                2    69990  \n","4                0    26990  \n","..              ...     ...  \n","813              0   135990  \n","814              0   144990  \n","815              4   149990  \n","816              4   142990  \n","817              0    57490  \n","\n","[818 rows x 8 columns]"],"text/html":["\n","  <div id=\"df-bb3f3fd7-ddf6-49ce-9bc0-3b45117a9090\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>brand</th>\n","      <th>processor_name</th>\n","      <th>processor_gnrtn</th>\n","      <th>ram_gb</th>\n","      <th>ssd</th>\n","      <th>hdd</th>\n","      <th>graphic_card_gb</th>\n","      <th>Price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>ASUS</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>34649</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Lenovo</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>38999</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Lenovo</td>\n","      <td>Core i3</td>\n","      <td>10th</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>39999</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>ASUS</td>\n","      <td>Core i5</td>\n","      <td>10th</td>\n","      <td>8</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>69990</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>ASUS</td>\n","      <td>Celeron Dual</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>26990</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>813</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>135990</td>\n","    </tr>\n","    <tr>\n","      <th>814</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>144990</td>\n","    </tr>\n","    <tr>\n","      <th>815</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>149990</td>\n","    </tr>\n","    <tr>\n","      <th>816</th>\n","      <td>ASUS</td>\n","      <td>Ryzen 9</td>\n","      <td>Not Available</td>\n","      <td>4</td>\n","      <td>1024</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>142990</td>\n","    </tr>\n","    <tr>\n","      <th>817</th>\n","      <td>Lenovo</td>\n","      <td>Ryzen 5</td>\n","      <td>10th</td>\n","      <td>8</td>\n","      <td>512</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>57490</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>818 rows × 8 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bb3f3fd7-ddf6-49ce-9bc0-3b45117a9090')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 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Histogram of distribution of prices between different price ranges\n","features = laptopprice.drop( columns = [\"Price\"])\n","price = laptopprice[\"Price\"]\n","\n","plt.hist( price, bins = 20, edgecolor='orange' )\n","plt.title(\"Prices\")\n","plt.xlabel(\"Price range\")\n","plt.ylabel(\"No of products\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"X83KHfhISLrz","executionInfo":{"status":"ok","timestamp":1688564683875,"user_tz":-330,"elapsed":459,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"3768dbc7-6e02-4faf-9c09-a7d09fb7d4ac"},"execution_count":103,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjsAAAHHCAYAAABZbpmkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA28UlEQVR4nO3deXgUVb7/8U9n6yRAEsKSEAkBDYvIooBARHAhQ0AGBHJHYVCRQRicBBCUEdxYlIGLigsizHUBRkUcR9CBQRQCsmhAyRC2YBQGb4IQVpOwSEOS8/uDH31pEyAN3XSnfL+ep54nVef06W932fqx6lSVzRhjBAAAYFEBvi4AAADAmwg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7AADA0gg7ACzhwQcfVMOGDX1dBgA/RNgB4BfmzZsnm83mXEJDQ9WkSROlp6frwIEDvi4PQBUW5OsCAOB8kydPVqNGjXTq1CmtX79es2fP1rJly7R9+3aFh4df8HVvvPGGysrKrmKlAKoKwg4Av9KjRw+1a9dOkvTQQw+pVq1amjFjhj755BMNGDCgXP8TJ06oWrVqCg4OvtqlAqgiOI0FwK/deeedkqQ9e/bowQcfVPXq1bV7927dddddqlGjhgYOHCip4jk7ZWVleuWVV9SyZUuFhoaqTp066t69uzZt2uTS791331Xbtm0VFham6Oho9e/fX/n5+S59vv/+e6Wmpio2NlahoaGqX7+++vfvr6KiIu99eAAewZEdAH5t9+7dkqRatWpJkkpKSpSSkqJbb71VL7zwwkVPbQ0ZMkTz5s1Tjx499NBDD6mkpETr1q3Thg0bnEePpkyZoqefflr33HOPHnroIR06dEgzZ85Uly5dtHnzZkVFRen06dNKSUmRw+HQiBEjFBsbqx9//FFLly5VYWGhIiMjvf9FALh8BgD8wNy5c40ks3LlSnPo0CGTn59vFi5caGrVqmXCwsLM3r17zaBBg4wkM27cuHKvHzRokElISHCur1q1ykgyI0eOLNe3rKzMGGPMDz/8YAIDA82UKVNc2rdt22aCgoKc2zdv3mwkmQ8//NCDnxjA1cJpLAB+JTk5WXXq1FF8fLz69++v6tWra/HixbrmmmucfR5++OFLjvPRRx/JZrNpwoQJ5dpsNpskadGiRSorK9M999yjw4cPO5fY2Fg1btxYq1evliTnkZvPPvtMJ0+e9MTHBHAVcRoLgF+ZNWuWmjRpoqCgIMXExKhp06YKCPi//y8LCgpS/fr1LznO7t27FRcXp+jo6Av2+f7772WMUePGjStsPzfpuVGjRhozZoxmzJih9957T507d1bv3r113333cQoLqAIIOwD8Svv27Z3zaSpit9tdws+VKCsrk81m06effqrAwMBy7dWrV3f+/eKLL+rBBx/UJ598os8//1wjR47U1KlTtWHDhkqFLwC+Q9gBYEnXXXedPvvsMx09evSCR3euu+46GWPUqFEjNWnS5JJjtmzZUi1bttRTTz2lr776Sp06ddKcOXP03HPPebp8AB7EnB0AlpSamipjjCZNmlSuzRgjSerXr58CAwM1adIk57bz+xw5ckSSVFxcrJKSEpf2li1bKiAgQA6Hw0ufAICncGQHgCXdcccduv/++/Xqq6/q+++/V/fu3VVWVqZ169bpjjvuUHp6uq677jo999xzGj9+vH744Qf16dNHNWrU0J49e7R48WINGzZMjz32mFatWqX09HT97ne/U5MmTVRSUqJ33nlHgYGBSk1N9fVHBXAJhB0AljV37ly1atVKb731lsaOHavIyEi1a9dOt9xyi7PPuHHj1KRJE7300kvOo0Dx8fHq1q2bevfuLUlq3bq1UlJStGTJEv34448KDw9X69at9emnn6pjx44++WwAKs9mfnnsFgAAwEKYswMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyN++zo7PNx9u3bpxo1ajifhgwAAPybMUbHjh1TXFzcRZ+ZR9iRtG/fPsXHx/u6DAAAcBny8/Mv+kBewo6kGjVqSDr7ZUVERPi4GgAAUBnFxcWKj493/nf8Qgg7kvPUVUREBGEHAIAq5lJTUJigDAAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALI2wAwAALC3I1wXgCpzIkxyHPT+uvbZUrYHnxwUAwAcIO1XViTyVLrlegWUnPT50aUC4AnvtJPAAACyBsFNVOQ4rsOykRuU9ql2OeI8Nm2jP1ysNXjx7xIiwAwCwAMJOFbfLEa8dPyf6ugwAAPwWE5QBAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAIClEXYAAICl+TTsTJ06VTfffLNq1KihunXrqk+fPsrNzXXpc/vtt8tms7ksw4cPd+mTl5ennj17Kjw8XHXr1tXYsWNVUlJyNT8KAADwU0G+fPM1a9YoLS1NN998s0pKSvTEE0+oW7duysnJUbVq1Zz9hg4dqsmTJzvXw8PDnX+XlpaqZ8+eio2N1VdffaX9+/frgQceUHBwsP7yl79c1c8DAAD8j0/DzvLly13W582bp7p16yorK0tdunRxbg8PD1dsbGyFY3z++efKycnRypUrFRMToxtvvFHPPvusHn/8cU2cOFEhISFe/QwAAMC/+dWcnaKiIklSdHS0y/b33ntPtWvXVosWLTR+/HidPHnS2ZaZmamWLVsqJibGuS0lJUXFxcXasWNHhe/jcDhUXFzssgAAAGvy6ZGd85WVlemRRx5Rp06d1KJFC+f23//+90pISFBcXJy2bt2qxx9/XLm5uVq0aJEkqaCgwCXoSHKuFxQUVPheU6dO1aRJk7z0SQAAgD/xm7CTlpam7du3a/369S7bhw0b5vy7ZcuWqlevnrp27ardu3fruuuuu6z3Gj9+vMaMGeNcLy4uVnx8/OUVDgAA/JpfnMZKT0/X0qVLtXr1atWvX/+ifTt06CBJ2rVrlyQpNjZWBw4ccOlzbv1C83zsdrsiIiJcFgAAYE0+DTvGGKWnp2vx4sVatWqVGjVqdMnXZGdnS5Lq1asnSUpKStK2bdt08OBBZ58VK1YoIiJCzZs390rdAACg6vDpaay0tDQtWLBAn3zyiWrUqOGcYxMZGamwsDDt3r1bCxYs0F133aVatWpp69atGj16tLp06aJWrVpJkrp166bmzZvr/vvv1/Tp01VQUKCnnnpKaWlpstvtvvx4AADAD/j0yM7s2bNVVFSk22+/XfXq1XMuH3zwgSQpJCREK1euVLdu3dSsWTM9+uijSk1N1ZIlS5xjBAYGaunSpQoMDFRSUpLuu+8+PfDAAy735QEAAL9ePj2yY4y5aHt8fLzWrFlzyXESEhK0bNkyT5UFAAAsxC8mKAMAAHgLYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFgaYQcAAFhakK8LgJ8q2umdce21pWoNvDM2AAAVIOzARZ2gn1RqbArMvM8r45cGhCuw104CDwDgqiHswEVE4HEF2oxG5T2qXY54j46daM/XKw1elByHCTsAgKuGsIMK7XLEa8fPib4uAwCAK8YEZQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGk+DTtTp07VzTffrBo1aqhu3brq06ePcnNzXfqcOnVKaWlpqlWrlqpXr67U1FQdOHDApU9eXp569uyp8PBw1a1bV2PHjlVJScnV/CgAAMBP+TTsrFmzRmlpadqwYYNWrFihM2fOqFu3bjpx4oSzz+jRo7VkyRJ9+OGHWrNmjfbt26d+/fo520tLS9WzZ0+dPn1aX331lebPn6958+bpmWee8cVHAgAAfibIl2++fPlyl/V58+apbt26ysrKUpcuXVRUVKS33npLCxYs0J133ilJmjt3rq6//npt2LBBHTt21Oeff66cnBytXLlSMTExuvHGG/Xss8/q8ccf18SJExUSEuKLjwYAAPyEX83ZKSoqkiRFR0dLkrKysnTmzBklJyc7+zRr1kwNGjRQZmamJCkzM1MtW7ZUTEyMs09KSoqKi4u1Y8eOCt/H4XCouLjYZQEAANbkN2GnrKxMjzzyiDp16qQWLVpIkgoKChQSEqKoqCiXvjExMSooKHD2OT/onGs/11aRqVOnKjIy0rnEx8d7+NMAAAB/4TdhJy0tTdu3b9fChQu9/l7jx49XUVGRc8nPz/f6ewIAAN/w6Zydc9LT07V06VKtXbtW9evXd26PjY3V6dOnVVhY6HJ058CBA4qNjXX2+frrr13GO3e11rk+v2S322W32z38KQAAgD/y6ZEdY4zS09O1ePFirVq1So0aNXJpb9u2rYKDg5WRkeHclpubq7y8PCUlJUmSkpKStG3bNh08eNDZZ8WKFYqIiFDz5s2vzgcBAAB+y6dHdtLS0rRgwQJ98sknqlGjhnOOTWRkpMLCwhQZGakhQ4ZozJgxio6OVkREhEaMGKGkpCR17NhRktStWzc1b95c999/v6ZPn66CggI99dRTSktL4+gNAADwbdiZPXu2JOn222932T537lw9+OCDkqSXXnpJAQEBSk1NlcPhUEpKil5//XVn38DAQC1dulQPP/ywkpKSVK1aNQ0aNEiTJ0++Wh8DAAD4MZ+GHWPMJfuEhoZq1qxZmjVr1gX7JCQkaNmyZZ4sDQAAWITfXI0FAADgDYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaYQdAABgaVccdkpLS5Wdna2ffvrJE/UAAAB4lNth55FHHtFbb70l6WzQue2229SmTRvFx8friy++8HR9AAAAV8TtsPOPf/xDrVu3liQtWbJEe/bs0bfffqvRo0frySef9HiBAAAAV8LtsHP48GHFxsZKkpYtW6bf/e53atKkif7whz9o27ZtHi8QAADgSrgddmJiYpSTk6PS0lItX75cv/nNbyRJJ0+eVGBgoMcLBAAAuBJB7r5g8ODBuueee1SvXj3ZbDYlJydLkjZu3KhmzZp5vEAAAIAr4XbYmThxolq0aKH8/Hz97ne/k91ulyQFBgZq3LhxHi8QAADgSrgddv72t7/p3nvvdYaccwYMGKCFCxd6rDAAAABPcHvOzuDBg1VUVFRu+7FjxzR48GCPFAUAAOApbocdY4xsNlu57Xv37lVkZKRHigIAAPCUSp/Guummm2Sz2WSz2dS1a1cFBf3fS0tLS7Vnzx51797dK0UCAABcrkqHnT59+kiSsrOzlZKSourVqzvbQkJC1LBhQ6Wmpnq8QAAAgCtR6bAzYcIESVLDhg3Vv3//chOUAQAA/JHbc3aaN2+u7Ozscts3btyoTZs2eaImAAAAj3E77KSlpSk/P7/c9h9//FFpaWkeKQoAAMBT3A47OTk5atOmTbntN910k3JycjxSFAAAgKe4HXbsdrsOHDhQbvv+/ftdrtACAADwB26HnW7dumn8+PEuNxYsLCzUE0884XwoKAAAgL9w+1DMCy+8oC5duighIUE33XSTpLOXo8fExOidd97xeIEAAABXwu2wc80112jr1q167733tGXLFoWFhWnw4MEaMGCAgoODvVEjAADAZbusSTbVqlXTsGHDPF0LAACAx13WU88v5oEHHrjsYgAAADzN7bAzatQol/UzZ87o5MmTCgkJUXh4OGEHAAD4Fbevxvrpp59cluPHjys3N1e33nqr3n//fW/UCAAAcNncDjsVady4saZNm1buqA8AAICveSTsSFJQUJD27dvnqeEAAAA8wu05O//85z9d1o0x2r9/v1577TV16tTJY4UBAAB4gtthp0+fPi7rNptNderU0Z133qkXX3zRU3UBAAB4hNthp6yszBt1AAAAeIXH5uwAAAD4o0od2RkzZkylB5wxY8ZlFwMAAOBplQo7mzdvdln/97//rZKSEjVt2lSS9N133ykwMFBt27b1fIUAAABXoFJhZ/Xq1c6/Z8yYoRo1amj+/PmqWbOmpLM3Ghw8eLA6d+7snSoBAAAuk9tzdl588UVNnTrVGXQkqWbNmnruuee4GgsAAPgdt8NOcXGxDh06VG77oUOHdOzYMY8UBQAA4Cluh52+fftq8ODBWrRokfbu3au9e/fqo48+0pAhQ9SvXz9v1AgAAHDZ3L7Pzpw5c/TYY4/p97//vc6cOXN2kKAgDRkyRM8//7zHCwQAALgSbh/ZCQ8P1+uvv64jR45o8+bN2rx5s44eParXX39d1apVc2ustWvXqlevXoqLi5PNZtPHH3/s0v7ggw/KZrO5LN27d3fpc/ToUQ0cOFARERGKiorSkCFDdPz4cXc/FgAAsKjLvqlgtWrVFB0drejoaLdDzjknTpxQ69atNWvWrAv26d69u/bv3+9c3n//fZf2gQMHaseOHVqxYoWWLl2qtWvXatiwYZdVDwAAsJ7LelzEuSuvzh1BqVGjhh599FE9+eSTCgiofH7q0aOHevTocdE+drtdsbGxFbbt3LlTy5cv1zfffKN27dpJkmbOnKm77rpLL7zwguLi4ipdCwAAsCa3j+w8+eSTeu211zRt2jTnaay//OUvmjlzpp5++mmPF/jFF1+obt26atq0qR5++GEdOXLE2ZaZmamoqChn0JGk5ORkBQQEaOPGjRcc0+FwqLi42GUBAADW5PaRnfnz5+vNN99U7969ndtatWqla665Rn/60580ZcoUjxXXvXt39evXT40aNdLu3bv1xBNPqEePHsrMzFRgYKAKCgpUt25dl9cEBQUpOjpaBQUFFxx36tSpmjRpksfqBAAA/svtsHP06FE1a9as3PZmzZrp6NGjHinqnP79+zv/btmypVq1aqXrrrtOX3zxhbp27XrZ444fP97leV/FxcWKj4+/oloBAIB/cvs0VuvWrfXaa6+V2/7aa6+pdevWHinqQq699lrVrl1bu3btkiTFxsbq4MGDLn1KSkp09OjRC87zkc7OA4qIiHBZAACANbl9ZGf69Onq2bOnVq5cqaSkJEln587k5+dr2bJlHi/wfHv37tWRI0dUr149SVJSUpIKCwuVlZXlfAjpqlWrVFZWpg4dOni1FgAAUDW4fWTntttu03fffae+ffuqsLBQhYWF6tevn3Jzc91+EOjx48eVnZ2t7OxsSdKePXuUnZ2tvLw8HT9+XGPHjtWGDRv0ww8/KCMjQ3fffbcSExOVkpIiSbr++uvVvXt3DR06VF9//bW+/PJLpaenq3///lyJBQAAJLl5ZOfMmTPq3r275syZ45GJyJs2bdIdd9zhXD83j2bQoEGaPXu2tm7dqvnz56uwsFBxcXHq1q2bnn32Wdntdudr3nvvPaWnp6tr164KCAhQamqqXn311SuuDQAAWINbYSc4OFhbt2712JvffvvtMsZcsP2zzz675BjR0dFasGCBx2oCAADW4vZprPvuu09vvfWWN2oBAADwOLcnKJeUlOjtt9/WypUr1bZt23KPipgxY4bHigMAALhSboed7du3q02bNpKk7777zqXNZrN5pioAAAAPcTvsrF692ht1AAAAeMVlP/VckvLz85Wfn++pWgAAADzO7bBTUlKip59+WpGRkWrYsKEaNmyoyMhIPfXUUzpz5ow3agQAALhsbp/GGjFihBYtWqTp06e73EF54sSJOnLkiGbPnu3xIgEAAC6X22FnwYIFWrhwoXr06OHc1qpVK8XHx2vAgAGEHQAA4FfcPo1lt9vVsGHDctsbNWqkkJAQT9QEAADgMW6HnfT0dD377LNyOBzObQ6HQ1OmTFF6erpHiwMAALhSbp/G2rx5szIyMlS/fn21bt1akrRlyxadPn1aXbt2Vb9+/Zx9Fy1a5LlKAQAALoPbYScqKkqpqaku2+Lj4z1WEAAAgCe5HXbmzp3rjToAAAC84opuKggAAODvCDsAAMDSCDsAAMDSCDsAAMDSKhV2oqOjdfjwYUnSH/7wBx07dsyrRQEAAHhKpcLO6dOnVVxcLEmaP3++Tp065dWiAAAAPKVSl54nJSWpT58+atu2rYwxGjlypMLCwirs+/bbb3u0QAAAgCtRqbDz7rvv6qWXXtLu3btls9lUVFTE0R0AAFAlVCrsxMTEaNq0aZLOPvDznXfeUa1atbxaGAAAgCe4fQflPXv2eKMOAAAAr7isS8/XrFmjXr16KTExUYmJierdu7fWrVvn6doAAACumNth591331VycrLCw8M1cuRI52Tlrl27asGCBd6oEQAA4LK5fRprypQpmj59ukaPHu3cNnLkSM2YMUPPPvusfv/733u0QAAAgCvh9pGd//znP+rVq1e57b1792Y+DwAA8Dtuh534+HhlZGSU275y5UrFx8d7pCgAAABPcfs01qOPPqqRI0cqOztbt9xyiyTpyy+/1Lx58/TKK694vEAAAIAr4XbYefjhhxUbG6sXX3xRf//73yVJ119/vT744APdfffdHi8QAADgSrgddiSpb9++6tu3r6drAQAA8LjLus8OAABAVUHYAQAAlkbYAQAAlkbYAQAAlnZFYccYI2OMp2oBAADwuMsKO3/729/UsmVLhYWFKSwsTK1atdI777zj6doAAACumNuXns+YMUNPP/200tPT1alTJ0nS+vXrNXz4cB0+fNjlmVkAAAC+5nbYmTlzpmbPnq0HHnjAua1379664YYbNHHiRMIOAADwK26fxtq/f7/zMRHnu+WWW7R//36PFAUAAOApboedxMRE52MizvfBBx+ocePGHikKAADAU9w+jTVp0iTde++9Wrt2rXPOzpdffqmMjIwKQxAAAIAvuX1kJzU1VRs3blTt2rX18ccf6+OPP1bt2rX19ddf87wsAADgdy7rQaBt27bVu+++6+laAAAAPI47KAMAAEur9JGdgIAA2Wy2i/ax2WwqKSm54qIAAAA8pdJhZ/HixRdsy8zM1KuvvqqysjKPFAUAAOAplQ47d999d7ltubm5GjdunJYsWaKBAwdq8uTJHi0OAADgSl3WnJ19+/Zp6NChatmypUpKSpSdna358+crISHB0/UBAABcEbfCTlFRkR5//HElJiZqx44dysjI0JIlS9SiRQtv1QcAAHBFKn0aa/r06frv//5vxcbG6v3336/wtBYAAIC/qXTYGTdunMLCwpSYmKj58+dr/vz5FfZbtGiRx4oDAAC4UpUOOw888MAlLz0HAADwN5UOO/PmzfP4m69du1bPP/+8srKytH//fi1evFh9+vRxthtjNGHCBL3xxhsqLCxUp06dNHv2bJcHjh49elQjRozQkiVLFBAQoNTUVL3yyiuqXr26x+sFAABVj0/voHzixAm1bt1as2bNqrB9+vTpevXVVzVnzhxt3LhR1apVU0pKik6dOuXsM3DgQO3YsUMrVqzQ0qVLtXbtWg0bNuxqfQQAAODnLuvZWJ7So0cP9ejRo8I2Y4xefvllPfXUU87J0H/7298UExOjjz/+WP3799fOnTu1fPlyffPNN2rXrp0kaebMmbrrrrv0wgsvKC4u7qp9FrihaKfnx7TXlqo18Py4AIAqz6dh52L27NmjgoICJScnO7dFRkaqQ4cOyszMVP/+/ZWZmamoqChn0JGk5ORkBQQEaOPGjTyF3c/UCfpJpcamwMz7PD52aUC4AnvtJPAAAMrx27BTUFAgSYqJiXHZHhMT42wrKChQ3bp1XdqDgoIUHR3t7FMRh8Mhh8PhXC8uLvZU2biIiMDjCrQZjcp7VLsc8R4bN9Ger1cavCg5DhN2AADl+G3Y8aapU6dq0qRJvi7jV2uXI147fk70dRkAgF8Jn05QvpjY2FhJ0oEDB1y2HzhwwNkWGxurgwcPurSXlJTo6NGjzj4VGT9+vIqKipxLfn6+h6sHAAD+wm/DTqNGjRQbG6uMjAzntuLiYm3cuFFJSUmSpKSkJBUWFiorK8vZZ9WqVSorK1OHDh0uOLbdbldERITLAgAArMmnp7GOHz+uXbt2Odf37Nmj7OxsRUdHq0GDBnrkkUf03HPPqXHjxmrUqJGefvppxcXFOe/Fc/3116t79+4aOnSo5syZozNnzig9PV39+/fnSiwAACDJx2Fn06ZNuuOOO5zrY8aMkSQNGjRI8+bN05///GedOHFCw4YNU2FhoW699VYtX75coaGhzte89957Sk9PV9euXZ03FXz11Vev+mcBAAD+yadh5/bbb5cx5oLtNptNkydP1uTJky/YJzo6WgsWLPBGeQAAwAL8ds4OAACAJxB2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApRF2AACApQX5ugDLO5EnOQ57ftyinZ4fEwAACyLseNOJPJUuuV6BZSd9XQkAAL9ahB1vchxWYNlJjcp7VLsc8R4d+vbqmzS23rseHRMAACsi7FwFuxzx2vFzokfHvM6e79HxAACwKiYoAwAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAASyPsAAAAS+NxEbAObz0J3l5bqtbAO2MDALyOsIMqr07QTyo1NgVm3ueV8UsDwhXYayeBBwCqKMIOqryIwOMKtBmvPF0+0Z6vVxq8KDkOE3YAoIoi7MAyvPF0eQBA1ccEZQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGmEHQAAYGl+HXYmTpwom83msjRr1szZfurUKaWlpalWrVqqXr26UlNTdeDAAR9WDAAA/I1fhx1JuuGGG7R//37nsn79emfb6NGjtWTJEn344Ydas2aN9u3bp379+vmwWgAA4G/8/qaCQUFBio2NLbe9qKhIb731lhYsWKA777xTkjR37lxdf/312rBhgzp27Hi1SwUAAH7I74/sfP/994qLi9O1116rgQMHKi8vT5KUlZWlM2fOKDk52dm3WbNmatCggTIzMy86psPhUHFxscsCAACsya/DTocOHTRv3jwtX75cs2fP1p49e9S5c2cdO3ZMBQUFCgkJUVRUlMtrYmJiVFBQcNFxp06dqsjISOcSH+/Z5ykBAAD/4densXr06OH8u1WrVurQoYMSEhL097//XWFhYZc97vjx4zVmzBjnenFxMYEHAACL8usjO78UFRWlJk2aaNeuXYqNjdXp06dVWFjo0ufAgQMVzvE5n91uV0REhMsCAACsqUqFnePHj2v37t2qV6+e2rZtq+DgYGVkZDjbc3NzlZeXp6SkJB9WCQAA/Ilfn8Z67LHH1KtXLyUkJGjfvn2aMGGCAgMDNWDAAEVGRmrIkCEaM2aMoqOjFRERoREjRigpKYkrsQAAgJNfh529e/dqwIABOnLkiOrUqaNbb71VGzZsUJ06dSRJL730kgICApSamiqHw6GUlBS9/vrrPq4aAAD4E78OOwsXLrxoe2hoqGbNmqVZs2ZdpYoAAEBVU6Xm7AAAALiLsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACyNsAMAACzNrx8XAfiNop2eH9NeW6rWwPPjAgBcEHaAi6gT9JNKjU2Bmfd5fOzSgHAF9tpJ4AEALyPsABcREXhcgTajUXmPapcj3mPjJtrz9UqDFyXHYcIOAHgZYQeohF2OeO34OdHXZQAALgMTlAEAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKVxB2XAl7zxgFGJh4wCwHkIO4APePMBoxIPGQWA8xF2AB/w1gNGJR4yCgC/RNgBfIgHjAKA9zFBGQAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWBphBwAAWFqQrwsA4CVFO70zrr22VK2Bd8YGAC8g7AAWUyfoJ5UamwIz7/PK+KUB4QrstZPAA6DKIOwAFhMReFyBNqNReY9qlyPeo2Mn2vP1SoMXJcdhwg6AKoOwA1jULke8dvyc6OsyAMDnmKAMAAAsjSM7AKzvRN7ZU2+exmRtoEog7ACwthN5Kl1yvQLLTnp8aCZrA1UDYQeAtTkOK7DspMcnbDNZG6g6CDsAfhWYsA38ehF2APgHb82r8dbNFQFUGYQdAL7nxXk1AEDYAeA+Tx8tKdrplXk1knR79U0aW+9dj44JoGqxTNiZNWuWnn/+eRUUFKh169aaOXOm2rdv7+uyAEvx9qMovDGv5jp7vkfHA1D1WCLsfPDBBxozZozmzJmjDh066OWXX1ZKSopyc3NVt25dX5cHWIa3HkVRpY++eGtOUKlDCrRXnXEl7jsEv2WJsDNjxgwNHTpUgwcPliTNmTNH//rXv/T2229r3LhxPq4OsB5PH4GpikdfvP7AVROgQFtZlRlX4r5DlmDRG3BW+bBz+vRpZWVlafz48c5tAQEBSk5OVmZmpg8rA2Bl3nzg6rkjXd46gsZDYlEhC9+As8qHncOHD6u0tFQxMTEu22NiYvTtt99W+BqHwyGHw+FcLyoqkiQVFxd7trji49JJKd7s0hnbKY8OXac0X8VeGNtb43pzbGqu+mNX5Zodpxw64/BszaeCTntlbG+NK0kO41DxSUl7s87+u8+TbAGS8c7RKK+NXRVrLs6Vjp/UnEP9tO9MHY8NGxd8SMPrLJIO/SCVRnlsXOn//rttjLl4R1PF/fjjj0aS+eqrr1y2jx071rRv377C10yYMMFIYmFhYWFhYbHAkp+ff9GsUOWP7NSuXVuBgYE6cOCAy/YDBw4oNja2wteMHz9eY8aMca6XlZXp6NGjqlWrlmw2m4qLixUfH6/8/HxFRER4tX5cPvZT1cB+qhrYT1UH++r/GGN07NgxxcXFXbRflQ87ISEhatu2rTIyMtSnTx9JZ8NLRkaG0tPTK3yN3W6X3e56NUJUVFS5fhEREb/6f5CqAvZT1cB+qhrYT1UH++qsyMjIS/ap8mFHksaMGaNBgwapXbt2at++vV5++WWdOHHCeXUWAAD49bJE2Ln33nt16NAhPfPMMyooKNCNN96o5cuXl5u0DAAAfn0sEXYkKT09/YKnrdxlt9s1YcKEcqe64F/YT1UD+6lqYD9VHewr99mMudT1WgAAAFVXgK8LAAAA8CbCDgAAsDTCDgAAsDTCDgAAsDTCTgVmzZqlhg0bKjQ0VB06dNDXX3/t65KqrLVr16pXr16Ki4uTzWbTxx9/7NJujNEzzzyjevXqKSwsTMnJyfr+++9d+hw9elQDBw5URESEoqKiNGTIEB0/7vrsna1bt6pz584KDQ1VfHy8pk+fXq6WDz/8UM2aNVNoaKhatmypZcuWuV2LFU2dOlU333yzatSoobp166pPnz7Kzc116XPq1CmlpaWpVq1aql69ulJTU8vdtTwvL089e/ZUeHi46tatq7Fjx6qkpMSlzxdffKE2bdrIbrcrMTFR8+bNK1fPpX5/lanFimbPnq1WrVo5bySXlJSkTz/91NnOPvJP06ZNk81m0yOPPOLcxr7yAU88n8pKFi5caEJCQszbb79tduzYYYYOHWqioqLMgQMHfF1albRs2TLz5JNPmkWLFhlJZvHixS7t06ZNM5GRkebjjz82W7ZsMb179zaNGjUyP//8s7NP9+7dTevWrc2GDRvMunXrTGJiohkwYICzvaioyMTExJiBAwea7du3m/fff9+EhYWZv/71r84+X375pQkMDDTTp083OTk55qmnnjLBwcFm27ZtbtViRSkpKWbu3Llm+/btJjs729x1112mQYMG5vjx484+w4cPN/Hx8SYjI8Ns2rTJdOzY0dxyyy3O9pKSEtOiRQuTnJxsNm/ebJYtW2Zq165txo8f7+zzn//8x4SHh5sxY8aYnJwcM3PmTBMYGGiWL1/u7FOZ39+larGqf/7zn+Zf//qX+e6770xubq554oknTHBwsNm+fbsxhn3kj77++mvTsGFD06pVKzNq1CjndvbV1UfY+YX27dubtLQ053ppaamJi4szU6dO9WFV1vDLsFNWVmZiY2PN888/79xWWFho7Ha7ef/9940xxuTk5BhJ5ptvvnH2+fTTT43NZjM//vijMcaY119/3dSsWdM4HA5nn8cff9w0bdrUuX7PPfeYnj17utTToUMH88c//rHStfxaHDx40Egya9asMcac/R6Cg4PNhx9+6Oyzc+dOI8lkZmYaY86G2oCAAFNQUODsM3v2bBMREeHcL3/+85/NDTfc4PJe9957r0lJSXGuX+r3V5lafk1q1qxp3nzzTfaRHzp27Jhp3LixWbFihbntttucYYd95RucxjrP6dOnlZWVpeTkZOe2gIAAJScnKzMz04eVWdOePXtUUFDg8n1HRkaqQ4cOzu87MzNTUVFRateunbNPcnKyAgICtHHjRmefLl26KCQkxNknJSVFubm5+umnn5x9zn+fc33OvU9lavm1KCoqkiRFR0dLkrKysnTmzBmX76ZZs2Zq0KCBy35q2bKly13LU1JSVFxcrB07djj7XGwfVOb3V5lafg1KS0u1cOFCnThxQklJSewjP5SWlqaePXuW+z7ZV75hmTsoe8Lhw4dVWlpa7jETMTEx+vbbb31UlXUVFBRIUoXf97m2goIC1a1b16U9KChI0dHRLn0aNWpUboxzbTVr1lRBQcEl3+dStfwalJWV6ZFHHlGnTp3UokULSWe/m5CQkHIPy/3l91fRd3eu7WJ9iouL9fPPP+unn3665O+vMrVY2bZt25SUlKRTp06pevXqWrx4sZo3b67s7Gz2kR9ZuHCh/v3vf+ubb74p18bvyTcIOwCc0tLStH37dq1fv97XpaACTZs2VXZ2toqKivSPf/xDgwYN0po1a3xdFs6Tn5+vUaNGacWKFQoNDfV1Ofj/OI11ntq1ayswMLDcTPQDBw4oNjbWR1VZ17nv9GLfd2xsrA4ePOjSXlJSoqNHj7r0qWiM89/jQn3Ob79ULVaXnp6upUuXavXq1apfv75ze2xsrE6fPq3CwkKX/r/8/i53H0RERCgsLKxSv7/K1GJlISEhSkxMVNu2bTV16lS1bt1ar7zyCvvIj2RlZengwYNq06aNgoKCFBQUpDVr1ujVV19VUFCQYmJi2Fc+QNg5T0hIiNq2bauMjAzntrKyMmVkZCgpKcmHlVlTo0aNFBsb6/J9FxcXa+PGjc7vOykpSYWFhcrKynL2WbVqlcrKytShQwdnn7Vr1+rMmTPOPitWrFDTpk1Vs2ZNZ5/z3+dcn3PvU5larMoYo/T0dC1evFirVq0qd0qwbdu2Cg4OdvlucnNzlZeX57Kftm3b5hJMV6xYoYiICDVv3tzZ52L7oDK/v8rU8mtSVlYmh8PBPvIjXbt21bZt25Sdne1c2rVrp4EDBzr/Zl/5gK9nSPubhQsXGrvdbubNm2dycnLMsGHDTFRUlMuseFTesWPHzObNm83mzZuNJDNjxgyzefNm87//+7/GmLOXe0dFRZlPPvnEbN261dx9990VXnp+0003mY0bN5r169ebxo0bu1x6XlhYaGJiYsz9999vtm/fbhYuXGjCw8PLXXoeFBRkXnjhBbNz504zYcKECi89v1QtVvTwww+byMhI88UXX5j9+/c7l5MnTzr7DB8+3DRo0MCsWrXKbNq0ySQlJZmkpCRn+7lLZbt162ays7PN8uXLTZ06dSq8VHbs2LFm586dZtasWRVeKnup39+larGqcePGmTVr1pg9e/aYrVu3mnHjxhmbzWY+//xzYwz7yJ+dfzWWMewrXyDsVGDmzJmmQYMGJiQkxLRv395s2LDB1yVVWatXrzaSyi2DBg0yxpy95Pvpp582MTExxm63m65du5rc3FyXMY4cOWIGDBhgqlevbiIiIszgwYPNsWPHXPps2bLF3HrrrcZut5trrrnGTJs2rVwtf//7302TJk1MSEiIueGGG8y//vUvl/bK1GJFFe0fSWbu3LnOPj///LP505/+ZGrWrGnCw8NN3759zf79+13G+eGHH0yPHj1MWFiYqV27tnn00UfNmTNnXPqsXr3a3HjjjSYkJMRce+21Lu9xzqV+f5WpxYr+8Ic/mISEBBMSEmLq1Kljunbt6gw6xrCP/Nkvww776uqzGWOMb44pAQAAeB9zdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgAAgKURdgD4VMOGDfXyyy/7ugwAFkbYAeARDz74oGw2m2w2m/OBlZMnT1ZJSclFX/fNN99o2LBhV6lKAL9GQb4uAIB1dO/eXXPnzpXD4dCyZcuUlpam4OBgjR8/vlzf06dPKyQkRHXq1LmqNZ57XwC/HhzZAeAxdrtdsbGxSkhI0MMPP6zk5GT985//lHT2yE+fPn00ZcoUxcXFqWnTppLKn8YqLCzUH//4R8XExCg0NFQtWrTQ0qVLne3r169X586dFRYWpvj4eI0cOVInTpy4YE0TJ07UjTfeqDfffFONGjVSaGioJGn58uW69dZbFRUVpVq1aum3v/2tdu/e7XzdDz/8IJvNpkWLFumOO+5QeHi4WrdurczMTJfx33jjDcXHxys8PFx9+/bVjBkzFBUV5dLnk08+UZs2bRQaGqprr71WkyZNuuQRLwCeQ9gB4DVhYWE6ffq0cz0jI0O5ublasWKFS4A5p6ysTD169NCXX36pd999Vzk5OZo2bZoCAwMlSbt371b37t2VmpqqrVu36oMPPtD69euVnp5+0Tp27dqljz76SIsWLVJ2drYk6cSJExozZow2bdqkjIwMBQQEqG/fviorK3N57ZNPPqnHHntM2dnZatKkiQYMGOAMKl9++aWGDx+uUaNGKTs7W7/5zW80ZcoUl9evW7dODzzwgEaNGqWcnBz99a9/1bx588r1A+BFvn4SKQBrGDRokLn77ruNMWefIL9ixQpjt9vNY4895myPiYkxDofD5XUJCQnmpZdeMsYY89lnn5mAgIALPm1+yJAhZtiwYS7b1q1bZwICAszPP/9c4WsmTJhggoODzcGDBy9a/6FDh4wks23bNmOMMXv27DGSzJtvvunss2PHDiPJ7Ny50xhjzL333mt69uzpMs7AgQNNZGSkc71r167mL3/5i0ufd955x9SrV++i9QDwHI7sAPCYpUuXqnr16goNDVWPHj107733auLEic72li1bXnS+THZ2turXr68mTZpU2L5lyxbNmzdP1atXdy4pKSkqKyvTnj17LjhuQkJCublB33//vQYMGKBrr71WERERatiwoSQpLy/PpV+rVq2cf9erV0+SdPDgQUlSbm6u2rdv79L/l+tbtmzR5MmTXWoeOnSo9u/fr5MnT16wZgCewwRlAB5zxx13aPbs2QoJCVFcXJyCglz/FVOtWrWLvj4sLOyi7cePH9cf//hHjRw5slxbgwYNLvi6it63V69eSkhI0BtvvKG4uDiVlZWpRYsWLqfdJCk4ONj5t81mk6Ryp7ouVfOkSZPUr1+/cm3n5g8B8C7CDgCPqVatmhITEy/79a1atdLevXv13XffVXh0p02bNsrJybmi95CkI0eOKDc3V2+88YY6d+4s6ezEZ3c1bdpU33zzjcu2X663adNGubm5V1wzgMtH2AHgN2677TZ16dJFqampmjFjhhITE/Xtt9/KZrOpe/fuevzxx9WxY0elp6froYceUrVq1ZSTk6MVK1botddeq/T71KxZU7Vq1dL//M//qF69esrLy9O4cePcrnfEiBHq0qWLZsyYoV69emnVqlX69NNPnUeAJOmZZ57Rb3/7WzVo0ED/9V//pYCAAG3ZskXbt2/Xc8895/Z7AnAfc3YA+JWPPvpIN998swYMGKDmzZvrz3/+s0pLSyWdPfKzZs0afffdd+rcubNuuukmPfPMM4qLi3PrPQICArRw4UJlZWWpRYsWGj16tJ5//nm3a+3UqZPmzJmjGTNmqHXr1lq+fLlGjx7tcnoqJSVFS5cu1eeff66bb75ZHTt21EsvvaSEhAS33w/A5bEZY4yviwAAqxg6dKi+/fZbrVu3ztelAPj/OI0FAFfghRde0G9+8xtVq1ZNn376qebPn6/XX3/d12UBOA9HdgDgCtxzzz364osvdOzYMV177bUaMWKEhg8f7uuyAJyHsAMAACyNCcoAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDSCDsAAMDS/h/SSFu5yWg8MAAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"code","source":["laptopprice= laptopprice[laptopprice['Price'] <= 250000]\n","features = laptopprice.drop( columns = [\"Price\"])\n","price = laptopprice[\"Price\"]\n","\n","plt.hist( price , bins = 20 , edgecolor='orange' )\n","plt.title(\"Prices\")\n","plt.xlabel(\"Price range\")\n","plt.ylabel(\"No of products\")\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"bSkAfmM-Sb0a","executionInfo":{"status":"ok","timestamp":1688564712595,"user_tz":-330,"elapsed":477,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"62f31c4f-0b43-4554-bbd4-aecbef400585"},"execution_count":105,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Scatterplots"],"metadata":{"id":"TJgBJNSPUdoX"}},{"cell_type":"code","source":["features_list = laptopprice.columns\n","prices_column_index = 7\n","\n","fig, axes = plt.subplots(nrows=len(features_list) , figsize=(8, 6 * len(features_list)))\n","\n","for i, feature in enumerate(features_list):\n","    axes[i].scatter(laptopprice[feature], laptopprice.iloc[:, prices_column_index])\n","    axes[i].set_xlabel(feature)\n","    axes[i].set_ylabel(laptopprice.columns[prices_column_index])\n","\n","plt.tight_layout()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"cnN5knPHTWRG","executionInfo":{"status":"ok","timestamp":1688564985493,"user_tz":-330,"elapsed":4205,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"14164c50-d57d-4e07-e21e-66381ae296a3"},"execution_count":107,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x4800 with 8 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### ONE HOT ENCODING (In order to train the model to use features)"],"metadata":{"id":"TE4zeR1fJzjo"}},{"cell_type":"code","source":["latop=pd.get_dummies(laptopprice)\n","latop"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":505},"id":"mEWjbXEr21eu","executionInfo":{"status":"ok","timestamp":1688565086023,"user_tz":-330,"elapsed":384,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"d0c72014-d3f5-4182-d355-cc3db113467b"},"execution_count":108,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      Price  brand_APPLE  brand_ASUS  brand_Avita  brand_DELL  brand_HP  \\\n","0     34649            0           1            0           0         0   \n","1     38999            0           0            0           0         0   \n","2     39999            0           0            0           0         0   \n","3     69990            0           1            0           0         0   \n","4     26990            0           1            0           0         0   \n","..      ...          ...         ...          ...         ...       ...   \n","813  135990            0           1            0           0         0   \n","814  144990            0           1            0           0         0   \n","815  149990            0           1            0           0         0   \n","816  142990            0           1            0           0         0   \n","817   57490            0           0            0           0         0   \n","\n","     brand_Lenovo  brand_MSI  brand_acer  processor_name_Celeron Dual  ...  \\\n","0               0          0           0                            0  ...   \n","1               1          0           0                            0  ...   \n","2               1          0           0                            0  ...   \n","3               0          0           0                            0  ...   \n","4               0          0           0                            1  ...   \n","..            ...        ...         ...                          ...  ...   \n","813             0          0           0                            0  ...   \n","814             0          0           0                            0  ...   \n","815             0          0           0                            0  ...   \n","816             0          0           0                            0  ...   \n","817             1          0           0                            0  ...   \n","\n","     ssd_512   hdd_0   hdd_1024   hdd_2048   hdd_512   graphic_card_gb_0   \\\n","0           0       0          1          0         0                   1   \n","1           0       0          1          0         0                   1   \n","2           0       0          1          0         0                   1   \n","3           1       1          0          0         0                   0   \n","4           0       0          0          0         1                   1   \n","..        ...     ...        ...        ...       ...                 ...   \n","813         0       1          0          0         0                   1   \n","814         0       1          0          0         0                   1   \n","815         0       1          0          0         0                   0   \n","816         0       1          0          0         0                   0   \n","817         1       1          0          0         0                   1   \n","\n","     graphic_card_gb_2   graphic_card_gb_4   graphic_card_gb_6   \\\n","0                     0                   0                   0   \n","1                     0                   0                   0   \n","2                     0                   0                   0   \n","3                     1                   0                   0   \n","4                     0                   0                   0   \n","..                  ...                 ...                 ...   \n","813                   0                   0                   0   \n","814                   0                   0                   0   \n","815                   0                   1                   0   \n","816                   0                   1                   0   \n","817                   0                   0                   0   \n","\n","     graphic_card_gb_8   \n","0                     0  \n","1                     0  \n","2                     0  \n","3                     0  \n","4                     0  \n","..                  ...  \n","813                   0  \n","814                   0  \n","815                   0  \n","816                   0  \n","817                   0  \n","\n","[811 rows x 47 columns]"],"text/html":["\n","  <div id=\"df-6dc465fa-f623-4547-962f-a7c957a04bfc\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Price</th>\n","      <th>brand_APPLE</th>\n","      <th>brand_ASUS</th>\n","      <th>brand_Avita</th>\n","      <th>brand_DELL</th>\n","      <th>brand_HP</th>\n","      <th>brand_Lenovo</th>\n","      <th>brand_MSI</th>\n","      <th>brand_acer</th>\n","      <th>processor_name_Celeron Dual</th>\n","      <th>...</th>\n","      <th>ssd_512</th>\n","      <th>hdd_0</th>\n","      <th>hdd_1024</th>\n","      <th>hdd_2048</th>\n","      <th>hdd_512</th>\n","      <th>graphic_card_gb_0</th>\n","      <th>graphic_card_gb_2</th>\n","      <th>graphic_card_gb_4</th>\n","      <th>graphic_card_gb_6</th>\n","      <th>graphic_card_gb_8</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>34649</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>38999</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>39999</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>69990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>26990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>813</th>\n","      <td>135990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>814</th>\n","      <td>144990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>815</th>\n","      <td>149990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>816</th>\n","      <td>142990</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>817</th>\n","      <td>57490</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>811 rows × 47 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6dc465fa-f623-4547-962f-a7c957a04bfc')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    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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","  </div>\n","  "]},"metadata":{},"execution_count":108}]},{"cell_type":"code","source":["latop.columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"V-rE5wiiO4IF","executionInfo":{"status":"ok","timestamp":1688565091868,"user_tz":-330,"elapsed":374,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"c5d0a5b4-7eba-4173-f89a-5c8bc7a5139a"},"execution_count":109,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['Price', 'brand_APPLE', 'brand_ASUS', 'brand_Avita', 'brand_DELL',\n","       'brand_HP', 'brand_Lenovo', 'brand_MSI', 'brand_acer',\n","       'processor_name_Celeron Dual', 'processor_name_Core i3',\n","       'processor_name_Core i5', 'processor_name_Core i7',\n","       'processor_name_Core i9', 'processor_name_M1',\n","       'processor_name_Pentium Quad', 'processor_name_Ryzen 3',\n","       'processor_name_Ryzen 5', 'processor_name_Ryzen 7',\n","       'processor_name_Ryzen 9', 'processor_gnrtn_10th',\n","       'processor_gnrtn_11th', 'processor_gnrtn_12th', 'processor_gnrtn_4th',\n","       'processor_gnrtn_7th', 'processor_gnrtn_8th', 'processor_gnrtn_9th',\n","       'processor_gnrtn_Not Available', 'ram_gb_16 ', 'ram_gb_32 ',\n","       'ram_gb_4 ', 'ram_gb_8 ', 'ssd_0 ', 'ssd_1024 ', 'ssd_128 ',\n","       'ssd_2048 ', 'ssd_256 ', 'ssd_512 ', 'hdd_0 ', 'hdd_1024 ', 'hdd_2048 ',\n","       'hdd_512 ', 'graphic_card_gb_0 ', 'graphic_card_gb_2 ',\n","       'graphic_card_gb_4 ', 'graphic_card_gb_6 ', 'graphic_card_gb_8 '],\n","      dtype='object')"]},"metadata":{},"execution_count":109}]},{"cell_type":"markdown","source":["Converting to numpy arrays"],"metadata":{"id":"BzqG_amDKEkJ"}},{"cell_type":"code","source":["latop_numpy=latop.values\n","latop_numpy"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yTmYELVB6Zqi","executionInfo":{"status":"ok","timestamp":1688565094050,"user_tz":-330,"elapsed":394,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"e310760f-9fdd-4d1b-90f2-5a54e92a266b"},"execution_count":110,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 34649,      0,      1, ...,      0,      0,      0],\n","       [ 38999,      0,      0, ...,      0,      0,      0],\n","       [ 39999,      0,      0, ...,      0,      0,      0],\n","       ...,\n","       [149990,      0,      1, ...,      1,      0,      0],\n","       [142990,      0,      1, ...,      1,      0,      0],\n","       [ 57490,      0,      0, ...,      0,      0,      0]])"]},"metadata":{},"execution_count":110}]},{"cell_type":"code","source":["x_train=latop_numpy[:,1:47:1]\n","y_train=latop_numpy[:,0]"],"metadata":{"id":"NfhIjd6MAtSG","executionInfo":{"status":"ok","timestamp":1688565095923,"user_tz":-330,"elapsed":3,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":111,"outputs":[]},{"cell_type":"markdown","source":["### Defining gradient descent from scratch"],"metadata":{"id":"a8hPjVe9KOpM"}},{"cell_type":"code","source":["def predict(x,w,b):\n","  p=np.dot(x,w)+b\n","  return p"],"metadata":{"id":"pg05FOl2ChbT","executionInfo":{"status":"ok","timestamp":1688565098611,"user_tz":-330,"elapsed":614,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":112,"outputs":[]},{"cell_type":"code","source":["def computecost(x,y,w,b):\n","  m=x.shape[0]\n","  cost=0.0\n","  for i in range(m):\n","    f_wb_i=np.dot(x[i],w)+b\n","    cost=cost+(f_wb_i-y[i])**2\n","  cost=cost/(2*m)\n","  return cost"],"metadata":{"id":"HPJ-0VRUHDsc","executionInfo":{"status":"ok","timestamp":1688565100021,"user_tz":-330,"elapsed":2,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":113,"outputs":[]},{"cell_type":"code","source":["def computegradient(x,y,w,b):\n","  m,n=x.shape\n","  dj_dw=np.zeros((n,))\n","  dj_db=0.\n","  for i in range(m):\n","    err=(np.dot(x[i],w)+b)-y[i]\n","    for j in range(n):\n","      dj_dw[j]=dj_dw[j]+err*x[i,j]\n","    dj_db=dj_db+err\n","  dj_dw=dj_dw/m\n","  dj_db=dj_db/m\n","\n","  return dj_db,dj_dw"],"metadata":{"id":"815mbkRwctoS","executionInfo":{"status":"ok","timestamp":1688565102720,"user_tz":-330,"elapsed":632,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":114,"outputs":[]},{"cell_type":"code","source":["def gradientdescent(x,y,w_in,b_in,cost_function,gradient_function,alpha,num_iters):\n","  J_history=[]\n","  w=copy.deepcopy(w_in)\n","  b=b_in\n","  for i in range(num_iters):\n","    dj_db,dj_dw=gradient_function(x,y,w,b)\n","    w=w-alpha*dj_dw\n","    b=b-alpha*dj_db\n","    if i<100000:\n","      J_history.append(cost_function(x,y,w,b))\n","    if i%math.ceil(num_iters/10)==0:\n","      print(f\"Iteration{i:4d}:Cost{J_history[-1]:8.2f}\")\n","  return w,b,J_history\n"],"metadata":{"id":"rblZoMDueydU","executionInfo":{"status":"ok","timestamp":1688565105364,"user_tz":-330,"elapsed":362,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":115,"outputs":[]},{"cell_type":"code","source":["initial_w=np.zeros(46)\n","initial_b=0.\n","iterations=10000\n","alpha=5.0e-1\n","w_final,b_final,J_his=gradientdescent(x_train,y_train,initial_w,initial_b,computecost,computegradient,alpha,iterations)\n","\n","print(f\"b,w found by gradient descent:{b_final:0.2f},{w_final}\")\n","m,_=x_train.shape\n","for i in range(m):\n","  print(f\"predictions:{np.dot(x_train[i],w_final)+b_final:0.2f},target value:{y_train[i]}\")"],"metadata":{"id":"Sj2k7BujhJqs","executionInfo":{"status":"ok","timestamp":1688572099213,"user_tz":-330,"elapsed":183543,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"77498ec5-ab61-46e4-a58a-af6b78d1e89b","colab":{"base_uri":"https://localhost:8080/"}},"execution_count":138,"outputs":[{"output_type":"stream","name":"stdout","text":["Iteration   0:Cost2538597539.09\n","Iteration1000:Cost197766724.31\n","Iteration2000:Cost196663002.63\n","Iteration3000:Cost196565034.86\n","Iteration4000:Cost196550286.85\n","Iteration5000:Cost196546288.23\n","Iteration6000:Cost196544873.92\n","Iteration7000:Cost196544337.91\n","Iteration8000:Cost196544131.53\n","Iteration9000:Cost196544051.75\n","b,w found by gradient descent:47229.02,[ 78117.50140901  -1498.96333726 -23466.30710553   2436.08101987\n","   3452.19074476   1349.1265106   -6531.02285882  -6629.59082557\n"," -61864.94601831  -8348.71371817  14369.9142328   39285.46728506\n","  58217.08263851  -5551.80508675 -18761.45156146 -17591.46820556\n","  -4981.97159958   8700.50105532  43756.4065352    7089.79156353\n","   -381.97799292   2567.91877901  -2683.21787699   9000.56379697\n","  15341.22975277   7250.74092654   9043.96660815  21607.67145869\n","    523.65960631  13700.05027474  11397.63421732 -20246.05947428\n","  21927.98022383  -4485.61679903  62694.67633633 -11857.59875568\n","   -804.3659741    1504.23080049   5520.15391123  -3335.60758875\n","  43540.2384341   -4422.49403503  -4861.26126156  -3590.98968127\n","  12380.88057044  47722.87996448]\n","predictions:39022.78,target value:34649\n","predictions:41870.87,target value:38999\n","predictions:41870.87,target value:39999\n","predictions:74426.00,target value:69990\n","predictions:25480.81,target value:26990\n","predictions:25480.81,target value:22990\n","predictions:25480.81,target value:21990\n","predictions:59000.23,target value:58799\n","predictions:64589.50,target value:49999\n","predictions:76110.48,target value:59990\n","predictions:92082.35,target value:93700\n","predictions:76110.48,target value:72990\n","predictions:3513.46,target value:17490\n","predictions:25480.81,target value:22990\n","predictions:35923.55,target value:35990\n","predictions:38572.29,target value:56490\n","predictions:61290.91,target value:65390\n","predictions:45884.71,target value:32955\n","predictions:68164.57,target value:46200\n","predictions:35923.55,target value:34429\n"]}]},{"cell_type":"code","source":["fig,(ax1,ax2)=plt.subplots(1,2,constrained_layout=True,figsize=(12,4))\n","ax1.plot(J_his)\n","ax2.plot(100+np.arange(len(J_his[100:])),J_his[100:])\n","ax1.set_title(\"Cost vs Iterations\");ax2.set_title(\"Cost vs Iterations(Tail)\")\n","ax1.set_ylabel('Cost');ax2.set_ylabel('Cost')\n","ax1.set_xlabel('iteration step');ax2.set_xlabel('iteration step')\n","plt.show()"],"metadata":{"id":"yzRt_V15kimr","executionInfo":{"status":"ok","timestamp":1688565333355,"user_tz":-330,"elapsed":1402,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"82d10ce0-4483-4491-9b0d-a5b730d60fa9","colab":{"base_uri":"https://localhost:8080/","height":428}},"execution_count":117,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x400 with 2 Axes>"],"image/png":"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Z-score normalisation to help in feature scaling(no need here as all values are 0,1 but still.....)\n"],"metadata":{"id":"sI9jLUvKQ5l-"}},{"cell_type":"code","source":["def zscore_normalisation_features(x):\n","  mu=np.mean(x,axis=0)\n","  sigma=np.std(x,axis=0)\n","  x_norm=(x-mu)/sigma\n","  return(x_norm,mu,sigma)"],"metadata":{"id":"ymmmIdiNQ432","executionInfo":{"status":"ok","timestamp":1688564146089,"user_tz":-330,"elapsed":5,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":93,"outputs":[]},{"cell_type":"code","source":["x_norm,x_mu,x_sigma=zscore_normalisation_features(x_train)\n","print(f\"x_mu={x_mu},\\nx_sigma={x_sigma}\")\n","print(f\"Peak to Peak range in column in Raw x:{np.ptp(x_train,axis=0)}\")\n","print(f\"Peak to Peak range in column in Normalised x:{np.ptp(x_norm,axis=0)}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tGMYwPx1Q-SU","executionInfo":{"status":"ok","timestamp":1688564142769,"user_tz":-330,"elapsed":405,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"37f2f819-d815-484c-975c-264ff2357ab4"},"execution_count":92,"outputs":[{"output_type":"stream","name":"stdout","text":["x_mu=[0.03422983 0.30195599 0.01711491 0.18459658 0.16503667 0.17359413\n"," 0.06112469 0.06234719 0.02322738 0.200489   0.35452323 0.13447433\n"," 0.00977995 0.02933985 0.01589242 0.03178484 0.1002445  0.06845966\n"," 0.03178484 0.24938875 0.40831296 0.00366748 0.00122249 0.01100244\n"," 0.05012225 0.00733496 0.26894866 0.21638142 0.00244499 0.27139364\n"," 0.50977995 0.15036675 0.13569682 0.00366748 0.00244499 0.2200489\n"," 0.00122249 0.48655257 0.75427873 0.19437653 0.00122249 0.05012225\n"," 0.6992665  0.08190709 0.15647922 0.04523227],\n","x_sigma=[0.181819   0.45910627 0.12969963 0.38796995 0.37121365 0.37876009\n"," 0.2395589  0.24178506 0.15062494 0.40036628 0.47836859 0.34116123\n"," 0.09840886 0.1687573  0.12505939 0.17542681 0.30032572 0.25253303\n"," 0.17542681 0.43265922 0.4915216  0.06044858 0.0349428  0.10431391\n"," 0.21819718 0.08532972 0.44341321 0.41177725 0.04938633 0.44467869\n"," 0.49990434 0.35743054 0.34246634 0.06044858 0.04938633 0.41427935\n"," 0.0349428  0.49981913 0.43051403 0.39571997 0.0349428  0.21819718\n"," 0.458577   0.27422312 0.36330906 0.20781317]\n","Peak to Peak range in column in Raw x:[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n"," 1 1 1 1 1 1 1 1 1]\n","Peak to Peak range in column in Normalised x:[ 5.49997534  2.17814493  7.7101222   2.57751922  2.69386649  2.64019366\n","  4.17433877  4.1359048   6.6390068   2.49771283  2.09043825  2.93116545\n"," 10.1616867   5.92566959  7.99620072  5.70038303  3.32971813  3.95987799\n","  5.70038303  2.31128784  2.03449857 16.54298485 28.61819743  9.58644949\n","  4.58301064 11.71924582  2.25523276  2.42849747 20.24851725  2.24881478\n","  2.0003827   2.7977464   2.919995   16.54298485 20.24851725  2.41383017\n"," 28.61819743  2.00072373  2.32280468  2.52703952 28.61819743  4.58301064\n","  2.18065889  3.64666555  2.75247747  4.81201447]\n"]}]},{"cell_type":"code","source":["x_features=['brand','processor name','processor gen','ram(in GB)','ssd(in GB)','hdd(in GB)','graphics card(in GB)']"],"metadata":{"id":"RRTN-kddQ-Oj","executionInfo":{"status":"ok","timestamp":1688564158216,"user_tz":-330,"elapsed":409,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":94,"outputs":[]},{"cell_type":"code","source":["initial_w=np.zeros(46)\n","initial_b=0.\n","iterations=1000\n","alpha=8.0e-2\n","w_norm,b_norm,his=gradientdescent(x_norm,y_train,initial_w,initial_b,computecost,computegradient,alpha,iterations)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DPyd3LO0Q-K4","executionInfo":{"status":"ok","timestamp":1688564233111,"user_tz":-330,"elapsed":15566,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"6b000e00-964d-4d61-dd25-15035672eda2"},"execution_count":96,"outputs":[{"output_type":"stream","name":"stdout","text":["Iteration   0:Cost3223502105.66\n","Iteration 100:Cost245408114.12\n","Iteration 200:Cost240260271.39\n","Iteration 300:Cost237819326.53\n","Iteration 400:Cost236391290.75\n","Iteration 500:Cost235515568.64\n","Iteration 600:Cost234968988.56\n","Iteration 700:Cost234625067.83\n","Iteration 800:Cost234407761.66\n","Iteration 900:Cost234270124.04\n"]}]},{"cell_type":"code","source":["m=x_norm.shape[0]\n","yp=np.zeros(m)\n","for i in range(m):\n","  yp[i]=np.dot(x_norm[i],w_norm)+b_norm\n","\n","fig,ax=plt.subplots(1,7,figsize=(12,3),sharey=True)\n","for i in range(len(ax)):\n","  ax[i].scatter(x_train[:,i],y_train,label='Target')\n","  ax[i].set_xlabel(x_features[i])\n","  ax[i].scatter(x_train[:,i],yp,label='Prediction')\n","ax[0].set_ylabel(\"Price\");ax[0].legend();\n","fig.suptitle(\"Targer vs prediction using z score normalisation\")\n","plt.show"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":359},"id":"LNn50iFJQ-Gd","executionInfo":{"status":"ok","timestamp":1688564283976,"user_tz":-330,"elapsed":1886,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"51ee6c18-0819-405b-977d-6c0d1c98fc1e"},"execution_count":98,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<function matplotlib.pyplot.show(close=None, block=None)>"]},"metadata":{},"execution_count":98},{"output_type":"display_data","data":{"text/plain":["<Figure size 1200x300 with 7 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Decision trees algorithm using sci-kit learn"],"metadata":{"id":"bIxiJzFNshbD"}},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","from sklearn.metrics import mean_absolute_percentage_error,  mean_squared_error, mean_absolute_error, r2_score"],"metadata":{"id":"gbcKD7AdspzO","executionInfo":{"status":"ok","timestamp":1688571398816,"user_tz":-330,"elapsed":496,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":121,"outputs":[]},{"cell_type":"code","source":["features_train, features_test, price_train, price_test = train_test_split(x_train, y_train , test_size=0.2, random_state=42)"],"metadata":{"id":"W3FRsVJ5s-QY","executionInfo":{"status":"ok","timestamp":1688571475089,"user_tz":-330,"elapsed":422,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":122,"outputs":[]},{"cell_type":"code","source":["from sklearn.tree import DecisionTreeRegressor\n","\n","decision_tree_regressor_model = DecisionTreeRegressor()\n","decision_tree_regressor_model.fit( features_train , price_train )\n","\n","price_predicted = decision_tree_regressor_model.predict( features_test )\n","\n","price_predicted = np.array( price_predicted )\n","price_test = np.array( price_test )\n","\n","for i in range(20):\n","    print( ( price_predicted[i] , price_test[i] ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"W9jCCHrBsoXE","executionInfo":{"status":"ok","timestamp":1688571845085,"user_tz":-330,"elapsed":404,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"636f42b2-d391-48e2-a21d-21bb39cdc7b3"},"execution_count":131,"outputs":[{"output_type":"stream","name":"stdout","text":["(80800.54545454546, 97990)\n","(114323.33333333333, 119990)\n","(79596.0, 76990)\n","(82840.0, 84990)\n","(194990.0, 154990)\n","(136823.33333333334, 142990)\n","(68090.0, 102551)\n","(116240.0, 103990)\n","(60490.0, 59990)\n","(57990.0, 233990)\n","(41490.0, 39998)\n","(69417.5, 71990)\n","(58656.666666666664, 57990)\n","(127493.33333333333, 144990)\n","(63366.0625, 55990)\n","(53540.0, 58990)\n","(69994.5, 57990)\n","(55385.666666666664, 45490)\n","(65556.0, 65556)\n","(224990.0, 144690)\n"]}]},{"cell_type":"markdown","source":["###Calculating Errors"],"metadata":{"id":"leKpNv9huGTH"}},{"cell_type":"code","source":["\n","print(\"Mean absolute error is:- \" , mean_absolute_error( price_test , price_predicted ))\n","print(\"Mean absolute percentage error is:- \" , mean_absolute_percentage_error( price_test , price_predicted )*100)\n","print(\"Mean square error is:- \" , mean_squared_error( price_test , price_predicted ))\n","print(\"Root mean square error is:- \" , math.sqrt(mean_squared_error( price_test , price_predicted )) )\n","print(\"R-squared score is:- \" , r2_score( price_test , price_predicted ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"opI_r_LPuEE4","executionInfo":{"status":"ok","timestamp":1688571848290,"user_tz":-330,"elapsed":634,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"33b1f81e-3091-4bdc-d263-a003eb719b06"},"execution_count":132,"outputs":[{"output_type":"stream","name":"stdout","text":["Mean absolute error is:-  18930.085957958196\n","Mean absolute percentage error is:-  20.551055793668095\n","Mean square error is:-  1155713857.4963505\n","Root mean square error is:-  33995.79176157471\n","R-squared score is:-  0.359515525608869\n"]}]},{"cell_type":"markdown","source":["## Random forest algorithm using sci-kit"],"metadata":{"id":"5-zAQ8EjrDcv"}},{"cell_type":"code","source":["from sklearn.ensemble import RandomForestRegressor\n","\n","random_forest_regressor_model = RandomForestRegressor()\n","random_forest_regressor_model.fit( features_train , price_train )\n","\n","price_predicted = random_forest_regressor_model.predict( features_test )\n","\n","price_predicted = np.array( price_predicted )\n","price_test = np.array( price_test )\n","\n","for i in range(20):\n","    print( ( price_predicted[i] , price_test[i] ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nUUHtBdNrY2C","executionInfo":{"status":"ok","timestamp":1688571867092,"user_tz":-330,"elapsed":393,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"2382f09e-b9a0-4307-a000-f721fc864221"},"execution_count":136,"outputs":[{"output_type":"stream","name":"stdout","text":["(80231.34466963429, 97990)\n","(134746.69333333333, 119990)\n","(75436.39412698412, 76990)\n","(82381.33527561076, 84990)\n","(149789.0611111111, 154990)\n","(136644.07936507938, 142990)\n","(74132.1, 102551)\n","(117333.62337662338, 103990)\n","(62547.26132142856, 59990)\n","(103151.163, 233990)\n","(43252.00833333333, 39998)\n","(69182.47683399933, 71990)\n","(59005.025, 57990)\n","(128113.21103174608, 144990)\n","(63470.64521425394, 55990)\n","(53500.71666666665, 58990)\n","(70657.3702420635, 57990)\n","(55219.84572619048, 45490)\n","(66234.19974358974, 65556)\n","(207386.51333333337, 144690)\n"]}]},{"cell_type":"markdown","source":["Calculating Errors"],"metadata":{"id":"kgROILdYt7Sb"}},{"cell_type":"code","source":["\n","\n","print(\"Mean absolute error is:- \" , mean_absolute_error( price_test , price_predicted ))\n","print(\"Mean absolute percentage error is:- \" , mean_absolute_percentage_error( price_test , price_predicted )*100)\n","print(\"Mean square error is:- \" , mean_squared_error( price_test , price_predicted ))\n","print(\"Root mean square error is:- \" , math.sqrt(mean_squared_error( price_test , price_predicted )) )\n","print(\"R-squared score is:- \" , r2_score( price_test , price_predicted ))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3QVHSp25t0-8","executionInfo":{"status":"ok","timestamp":1688571871007,"user_tz":-330,"elapsed":410,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"outputId":"b96b4f9d-916f-4d82-d54a-39f77508cf5c"},"execution_count":137,"outputs":[{"output_type":"stream","name":"stdout","text":["Mean absolute error is:-  16117.662841432273\n","Mean absolute percentage error is:-  17.502611538553708\n","Mean square error is:-  825769552.0694863\n","Root mean square error is:-  28736.20629222804\n","R-squared score is:-  0.5423671922813345\n"]}]}]}
\ No newline at end of file
diff --git a/machine-learning/week1/laptopPrice.csv b/machine-learning/week1/laptopPrice.csv
new file mode 100644
index 000000000..18a7d783e
--- /dev/null
+++ b/machine-learning/week1/laptopPrice.csv
@@ -0,0 +1,819 @@
+brand,processor_brand,processor_name,processor_gnrtn,ram_gb,ram_type,ssd,hdd,os,os_bit,graphic_card_gb,weight,warranty,Touchscreen,msoffice,Price,rating,Number of Ratings,Number of Reviews
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,34649,2 stars,3,0
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,38999,3 stars,65,5
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,39999,3 stars,8,1
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,69990,3 stars,0,0
+ASUS,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,26990,3 stars,0,0
+ASUS,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,22990,3 stars,0,0
+ASUS,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,21990,3 stars,31,3
+ASUS,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,58799,3 stars,0,0
+Lenovo,Intel,Core i5,10th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,49999,3 stars,0,0
+acer,AMD,Ryzen 5,10th,4 GB,DDR4,0 GB,512 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,59990,4 stars,1946,240
+acer,AMD,Ryzen 5,10th,4 GB,DDR4,0 GB,512 GB,Windows,32-bit,6 GB,Casual,No warranty,No,No,93700,4 stars,259,47
+acer,AMD,Ryzen 5,10th,4 GB,DDR4,0 GB,512 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,72990,4 stars,425,67
+Avita,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,17490,3 stars,1120,196
+ASUS,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,22990,3 stars,0,0
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,35990,3 stars,0,0
+HP,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,56490,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,65390,3 stars,0,0
+HP,Intel,Core i3,7th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,32955,4 stars,311,27
+HP,Intel,Core i5,7th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,46200,4 stars,47,7
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,34429,4 stars,37,6
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,ThinNlight,2 years,No,Yes,37990,4 stars,2080,235
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,35990,4 stars,1479,181
+ASUS,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,33980,4 stars,67,3
+HP,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39990,4 stars,273,30
+DELL,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39490,4 stars,1267,171
+HP,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,53990,4 stars,14,0
+acer,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,38990,3 stars,0,0
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,37990,4 stars,284,39
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,37890,4 stars,44,5
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,38990,4 stars,33,4
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,37990,4 stars,286,36
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41990,3 stars,10,5
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,45990,4 stars,816,147
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,39990,4 stars,543,65
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,42490,4 stars,9,1
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,36990,4 stars,1178,137
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,53990,4 stars,299,41
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,36990,4 stars,20,1
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,No,38940,4 stars,758,64
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,39490,4 stars,634,64
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,45990,4 stars,816,147
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,Yes,39999,5 stars,4,0
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,42990,4 stars,17,2
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,49990,4 stars,24,5
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41490,4 stars,1753,165
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,41990,4 stars,216,21
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41990,4 stars,1084,160
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,38490,3 stars,19,3
+Lenovo,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,38990,4 stars,106,13
+Lenovo,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,44990,4 stars,42,4
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,36490,3 stars,0,0
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,38970,3 stars,0,0
+HP,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44900,4 stars,1029,107
+MSI,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,38990,4 stars,53,11
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,44427,3 stars,0,0
+ASUS,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,35990,3 stars,0,0
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,40200,3 stars,48,1
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,40990,3 stars,3,0
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,42490,3 stars,0,0
+acer,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,23990,3 stars,61,4
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,71999,4 stars,97,13
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,39990,4 stars,181,19
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,41998,4 stars,529,39
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,41990,3 stars,0,0
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,Yes,39999,3 stars,0,0
+ASUS,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,39990,3 stars,0,0
+Lenovo,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,39998,4 stars,10,1
+HP,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42490,4 stars,5205,561
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,41990,3 stars,3,0
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,48490,3 stars,0,0
+HP,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44376,4 stars,1090,96
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,43900,3 stars,0,0
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,46690,3 stars,0,0
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,40990,5 stars,1,1
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,39990,4 stars,44,2
+Lenovo,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,43990,3 stars,0,0
+ASUS,Intel,Core i3,11th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,36990,4 stars,70,9
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,48500,3 stars,0,0
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,48990,3 stars,0,0
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,23490,4 stars,632,92
+HP,Intel,Core i3,8th,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,54238,4 stars,71,8
+ASUS,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,37990,4 stars,990,108
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42990,4 stars,158,18
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42990,4 stars,681,59
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,35990,4 stars,130,12
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,42990,4 stars,30,4
+ASUS,Intel,Core i3,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,Yes,Yes,51990,4 stars,6,2
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,48990,4 stars,174,30
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,42990,4 stars,40,7
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,38990,3 stars,13,1
+DELL,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,45990,4 stars,184,29
+HP,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42490,4 stars,1296,126
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43970,4 stars,571,56
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39990,4 stars,2551,297
+MSI,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,48990,4 stars,17,3
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,54990,4 stars,35,3
+MSI,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,40990,4 stars,118,17
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41990,3 stars,0,0
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,No,54990,4 stars,245,34
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,44990,4 stars,2058,305
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,41250,4 stars,117,11
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,44990,3 stars,0,0
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,42990,4 stars,74,11
+DELL,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,60790,4 stars,10,1
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,45650,4 stars,39,4
+DELL,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41990,3 stars,29,7
+DELL,Intel,Core i3,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,45490,4 stars,43,4
+ASUS,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44990,3 stars,0,0
+Lenovo,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,2 years,No,Yes,42990,4 stars,984,99
+HP,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,45490,4 stars,523,66
+HP,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,38799,4 stars,30,1
+HP,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,69267,3 stars,0,0
+ASUS,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,51649,3 stars,0,0
+HP,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,47990,4 stars,1605,215
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,40990,4 stars,4008,519
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42990,4 stars,1869,234
+ASUS,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,44890,3 stars,7,0
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,41490,4 stars,4008,519
+HP,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,ThinNlight,1 year,No,No,50990,3 stars,0,0
+HP,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,48900,4 stars,1278,135
+ASUS,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,40990,4 stars,4008,519
+DELL,Intel,Core i3,10th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,41790,3 stars,0,0
+Lenovo,Intel,Core i3,11th,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,57999,3 stars,10,2
+DELL,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,45930,3 stars,0,0
+HP,Intel,Core i3,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,55490,4 stars,143,15
+ASUS,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,32890,3 stars,28,4
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,35990,4 stars,2124,233
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,42490,4 stars,276,40
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,42190,3 stars,250,21
+DELL,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39490,4 stars,1917,189
+HP,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43690,4 stars,4999,490
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,35990,3 stars,17,0
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,43800,4 stars,17,0
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,38990,3 stars,0,0
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,34990,3 stars,4203,490
+ASUS,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,38900,3 stars,13,0
+DELL,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,39990,3 stars,15,1
+DELL,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,40890,4 stars,527,46
+Lenovo,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,36990,3 stars,103,10
+HP,Intel,Core i3,11th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39990,3 stars,324,45
+HP,Intel,Core i3,11th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41990,4 stars,69,5
+DELL,Intel,Core i3,11th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,43970,3 stars,16,0
+HP,Intel,Core i3,11th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,39790,3 stars,40,3
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,ThinNlight,No warranty,No,No,35590,3 stars,12,1
+HP,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,36490,3 stars,1146,175
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,38990,4 stars,1850,216
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,ThinNlight,No warranty,No,No,33990,3 stars,43,7
+DELL,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,43400,4 stars,231,26
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,24990,4 stars,502,93
+HP,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,40750,4 stars,1096,116
+DELL,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43000,4 stars,313,35
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,38000,4 stars,7,0
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,37990,3 stars,265,46
+HP,Intel,Core i3,7th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,49279,4 stars,38,3
+Lenovo,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,38999,3 stars,7,2
+ASUS,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,41500,3 stars,4,0
+acer,Intel,Core i3,11th,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,36999,3 stars,0,0
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,42900,3 stars,0,0
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,21490,3 stars,818,113
+DELL,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,41480,3 stars,25,4
+ASUS,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,32990,2 stars,12,0
+ASUS,Intel,Core i3,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,38680,3 stars,17,1
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,23990,4 stars,974,170
+DELL,Intel,Core i3,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,40390,3 stars,83,15
+ASUS,Intel,Core i3,10th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,33990,3 stars,31,6
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,20490,3 stars,637,91
+DELL,Intel,Core i3,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41490,5 stars,7,5
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,45490,4 stars,207,16
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,44490,4 stars,844,103
+ASUS,Intel,Core i3,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,41890,4 stars,53,6
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,42990,4 stars,62,7
+acer,Intel,Core i3,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,40990,4 stars,38,2
+DELL,Intel,Core i3,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,48990,4 stars,724,92
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43590,3 stars,0,0
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,44690,4 stars,9,0
+ASUS,Intel,Core i3,10th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,40990,3 stars,0,0
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43990,3 stars,0,0
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,43590,3 stars,0,0
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41390,4 stars,56,7
+DELL,Intel,Core i3,10th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44290,3 stars,0,0
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,48999,3 stars,0,0
+DELL,Intel,Core i3,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39990,3 stars,170,11
+DELL,Intel,Core i3,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,46390,2 stars,95,5
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,18990,3 stars,197,25
+ASUS,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,17990,3 stars,1180,148
+HP,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,26470,3 stars,232,23
+HP,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,27990,3 stars,596,65
+Lenovo,Intel,Celeron Dual,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,29999,3 stars,19,1
+Lenovo,Intel,Celeron Dual,Not Available,4 GB,LPDDR4X,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,25990,3 stars,84,16
+Lenovo,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,16990,3 stars,414,54
+Lenovo,Intel,Celeron Dual,Not Available,4 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,24990,2 stars,70,16
+acer,Intel,Core i5,Not Available,8 GB,DDR5,0 GB,512 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,50990,4 stars,10966,1185
+acer,Intel,Core i5,Not Available,8 GB,LPDDR4,0 GB,512 GB,Windows,32-bit,0 GB,Casual,1 year,No,No,119990,4 stars,1,1
+acer,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,0 GB,Casual,No warranty,No,No,94190,4 stars,31,6
+ASUS,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,4 GB,Casual,No warranty,No,No,106167,4 stars,1881,241
+DELL,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,4 GB,Casual,1 year,No,No,68090,1 star,23,4
+DELL,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,0 GB,ThinNlight,1 year,No,No,139990,3 stars,0,0
+HP,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,0 GB,ThinNlight,No warranty,No,No,55990,4 stars,818,109
+HP,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,4 GB,Casual,No warranty,No,No,102551,3 stars,0,0
+Lenovo,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,2 GB,Casual,No warranty,No,No,46990,4 stars,4428,569
+HP,Intel,Core i5,8th,8 GB,DDR4,128 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,76012,4 stars,129,16
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,Yes,49490,4 stars,365,35
+acer,Intel,Core i5,7th,8 GB,DDR3,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,86867,4 stars,39,3
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,48990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,55990,3 stars,3,0
+acer,Intel,Core i5,8th,8 GB,DDR3,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,Yes,81998,4 stars,14,3
+HP,Intel,Core i5,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,136590,3 stars,0,0
+acer,Intel,Core i5,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,59490,3 stars,33,7
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,49800,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,61999,2 stars,4,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,54990,4 stars,116,15
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,53990,4 stars,206,17
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,Yes,52990,4 stars,300,24
+HP,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,67990,4 stars,108,6
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,No,57990,4 stars,3712,412
+Lenovo,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,62300,4 stars,825,95
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,52990,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,2 years,No,Yes,51990,4 stars,85,4
+Lenovo,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,61990,4 stars,56,7
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,Yes,Yes,63990,4 stars,10,1
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,65990,4 stars,17,4
+acer,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,52990,4 stars,155,20
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,49990,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,71990,4 stars,91,17
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,47990,4 stars,35,2
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,ThinNlight,2 years,No,Yes,48490,4 stars,126,13
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,72990,4 stars,74,10
+MSI,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,76990,4 stars,75,17
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,6 GB,Gaming,1 year,No,Yes,89990,4 stars,124,17
+MSI,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,59990,4 stars,1597,228
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,65990,4 stars,3850,378
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,71990,4 stars,7,1
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,71890,4 stars,3,0
+Lenovo,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,64990,3 stars,0,0
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,65990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,55999,4 stars,5,1
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,73490,4 stars,213,45
+HP,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,74490,4 stars,10,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,58340,4 stars,69,6
+acer,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,55999,4 stars,6,0
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,67990,4 stars,93,9
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,59990,4 stars,11,2
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,Yes,82990,4 stars,262,31
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,64190,3 stars,0,0
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,70090,4 stars,5,1
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,ThinNlight,1 year,No,No,49990,4 stars,45,3
+MSI,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,55490,3 stars,8,1
+HP,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,97990,5 stars,3,1
+ASUS,Intel,Core i5,9th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,54990,4 stars,1681,227
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,59990,4 stars,37,2
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,53990,4 stars,61,2
+HP,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,66999,4 stars,17,1
+acer,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,60990,4 stars,17,1
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,47990,4 stars,1625,152
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,ThinNlight,1 year,No,Yes,59999,4 stars,4,1
+DELL,Intel,Core i5,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,79990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,No,63990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,63990,4 stars,17,1
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,59990,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,55990,3 stars,0,0
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,59990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,63990,4 stars,3,0
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,69490,3 stars,0,0
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,89390,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,74990,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,3 years,Yes,Yes,64990,4 stars,48,12
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,66490,4 stars,282,36
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,89702,3 stars,0,0
+Lenovo,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,70990,4 stars,67,4
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,58990,3 stars,0,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,57500,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,79990,4 stars,23,2
+MSI,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,56541,4 stars,677,87
+ASUS,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,59990,3 stars,3,0
+Lenovo,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,64990,4 stars,46,4
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,61290,3 stars,4,1
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,54990,4 stars,9,1
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,59990,4 stars,26,4
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,6 GB,Casual,1 year,No,No,84990,5 stars,5,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,72500,4 stars,40,3
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,59990,3 stars,44,6
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,87990,4 stars,28,6
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,57990,4 stars,1541,123
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,69490,4 stars,72,7
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,3 years,Yes,Yes,68990,4 stars,44,8
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,77990,4 stars,17,2
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,105990,4 stars,59,11
+MSI,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,79990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,55490,4 stars,337,27
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,69990,4 stars,10,2
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,84990,4 stars,10,2
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,59990,3 stars,31,7
+DELL,Intel,Core i5,10th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,111890,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,65990,4 stars,10,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,72990,4 stars,76,14
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,71090,4 stars,44,6
+MSI,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,74990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,79990,4 stars,11,3
+MSI,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,55490,4 stars,138,16
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,ThinNlight,1 year,No,Yes,66490,4 stars,199,17
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,53400,4 stars,46,6
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,74500,4 stars,45,5
+DELL,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,114990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,ThinNlight,No warranty,No,No,61990,4 stars,35,4
+APPLE,Intel,Core i5,10th,8 GB,LPDDR4X,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,159990,4 stars,32,5
+APPLE,Intel,Core i5,8th,8 GB,DDR3,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,172090,4 stars,108,13
+MSI,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,74990,3 stars,0,0
+MSI,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,56490,4 stars,814,112
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,3 years,No,No,147000,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,55990,4 stars,75,9
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,77990,3 stars,0,0
+HP,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,106490,4 stars,3,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,1 year,No,Yes,70990,4 stars,11,3
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,64990,4 stars,125,11
+acer,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,57990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,No,64990,4 stars,4,0
+MSI,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,54990,4 stars,714,147
+HP,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,111999,3 stars,0,0
+Lenovo,Intel,Core i5,10th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,70798,4 stars,21,3
+Lenovo,Intel,Core i5,9th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,59990,3 stars,9,1
+acer,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,99500,3 stars,0,0
+HP,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,55990,4 stars,30,4
+ASUS,Intel,Core i5,8th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,72990,4 stars,44,4
+acer,Intel,Core i5,8th,8 GB,DDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,64990,3 stars,4,1
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,57990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,76990,4 stars,14,2
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,2 years,No,Yes,62998,4 stars,739,71
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,77990,4 stars,31,5
+HP,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,114990,4 stars,145,19
+DELL,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,65990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,88990,3 stars,19,2
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,113590,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,73990,4 stars,32,6
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,61000,4 stars,1124,100
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,99990,4 stars,35,6
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,67990,4 stars,9,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,70799,4 stars,98,6
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,65990,4 stars,31,2
+ASUS,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,53690,4 stars,19,3
+MSI,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,55990,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,53190,4 stars,11,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,2 years,No,Yes,58999,4 stars,45,3
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,ThinNlight,3 years,No,No,71990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,82000,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,84990,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,89998,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,99990,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,84990,3 stars,0,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,69899,4 stars,474,37
+DELL,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,79990,3 stars,0,0
+DELL,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,76300,4 stars,6,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,55999,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,72900,3 stars,24,4
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,73990,4 stars,195,17
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,84990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,73519,3 stars,0,0
+HP,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,126000,5 stars,2,1
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,88990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,Yes,114999,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,82990,4 stars,21,2
+acer,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,Yes,No,109999,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,Yes,82990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,79990,4 stars,5,0
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,114990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,129999,3 stars,0,0
+MSI,Intel,Core i5,8th,8 GB,DDR5,512 GB,0 GB,Windows,32-bit,6 GB,Casual,No warranty,No,No,149990,4 stars,10,3
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,71290,3 stars,0,0
+DELL,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,79500,4 stars,10,1
+DELL,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,82990,3 stars,15,3
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,70980,4 stars,138,23
+ASUS,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,99990,3 stars,0,0
+HP,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,94000,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,Yes,No,82990,4 stars,16,3
+MSI,Intel,Core i5,11th,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,79990,4 stars,11,4
+ASUS,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,85990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,86990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,105990,5 stars,4,0
+ASUS,Intel,Core i5,10th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,84990,3 stars,0,0
+Lenovo,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,59999,4 stars,22,3
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,91999,4 stars,16,2
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,78900,3 stars,16,1
+ASUS,Intel,Core i5,10th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,132790,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,60990,3 stars,14,6
+Avita,Intel,Core i5,7th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,65556,3 stars,0,0
+DELL,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,70190,3 stars,6,3
+DELL,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,No,79590,3 stars,0,0
+Avita,Intel,Core i5,7th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,65556,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,76990,3 stars,0,0
+Avita,Intel,Core i5,7th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,65556,3 stars,0,0
+Avita,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,44990,3 stars,17,3
+ASUS,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,84990,3 stars,17,2
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,86999,4 stars,3,0
+HP,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,78000,4 stars,512,85
+Avita,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73063,3 stars,17,3
+Avita,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73063,3 stars,17,3
+HP,Intel,Core i5,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,100990,3 stars,0,0
+Lenovo,Intel,Core i5,8th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,74990,3 stars,3,1
+ASUS,Intel,Core i5,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,75990,4 stars,1365,137
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,1 year,No,Yes,84086,3 stars,8,3
+ASUS,Intel,Core i5,11th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,75990,4 stars,368,48
+ASUS,Intel,Core i5,11th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,77990,4 stars,202,26
+ASUS,Intel,Core i5,10th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,77990,4 stars,187,26
+APPLE,Intel,Core i5,10th,16 GB,LPDDR4X,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,179990,4 stars,31,3
+APPLE,Intel,Core i5,10th,16 GB,LPDDR4X,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,179990,4 stars,91,5
+ASUS,Intel,Core i5,10th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,82990,4 stars,844,118
+ASUS,Intel,Core i5,11th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,87990,3 stars,0,0
+ASUS,Intel,Core i5,11th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,84500,4 stars,3,0
+DELL,Intel,Core i5,11th,8 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,74190,4 stars,21,3
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,64990,3 stars,4,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,512 GB,Windows,64-bit,0 GB,ThinNlight,3 years,Yes,No,155411,3 stars,0,0
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,512 GB,512 GB,Windows,64-bit,0 GB,ThinNlight,3 years,Yes,No,125394,3 stars,0,0
+acer,Intel,Core i5,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,49990,3 stars,0,0
+acer,Intel,Core i5,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,46990,3 stars,253,28
+DELL,Intel,Core i5,11th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,48990,3 stars,470,46
+acer,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,59999,4 stars,118,28
+ASUS,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,46990,4 stars,1444,179
+MSI,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,52990,4 stars,1114,137
+Lenovo,Intel,Core i5,7th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,57999,3 stars,0,0
+Lenovo,Intel,Core i5,4th,8 GB,DDR3,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,52490,3 stars,78,17
+Lenovo,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,56990,4 stars,21,5
+acer,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,ThinNlight,1 year,No,No,61990,4 stars,73,21
+DELL,Intel,Core i5,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,58090,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,56990,3 stars,0,0
+acer,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,61597,3 stars,0,0
+ASUS,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,81990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,61249,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,58990,3 stars,0,0
+ASUS,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,83990,3 stars,0,0
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,6 GB,Casual,No warranty,No,No,291190,4 stars,7,3
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,6 GB,Casual,No warranty,No,No,145990,4 stars,715,106
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,8 GB,Casual,No warranty,No,No,179990,4 stars,24,5
+HP,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,64990,4 stars,23,4
+HP,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,46790,4 stars,3062,325
+HP,Intel,Core i5,7th,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,44599,4 stars,122,12
+acer,Intel,Core i5,8th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,72964,4 stars,18,6
+HP,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,48790,3 stars,11,1
+acer,Intel,Core i5,10th,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,56491,3 stars,30,6
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,50990,4 stars,1188,127
+ASUS,Intel,Core i5,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,55990,4 stars,23,0
+acer,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,57990,4 stars,32,1
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,52990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,57990,4 stars,47,0
+acer,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,56990,4 stars,27,2
+acer,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,55490,3 stars,8,3
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,62490,3 stars,157,20
+ASUS,Intel,Core i5,11th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,64990,4 stars,10,1
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,59990,4 stars,52,4
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,60190,4 stars,33,4
+ASUS,Intel,Core i5,9th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,54490,4 stars,343,47
+Lenovo,Intel,Core i5,9th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,60990,4 stars,131,17
+DELL,Intel,Core i5,11th,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,55790,4 stars,41,4
+ASUS,Intel,Core i5,11th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,64990,4 stars,328,51
+ASUS,Intel,Core i5,11th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,58990,4 stars,6,1
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,54990,3 stars,353,28
+HP,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,71990,4 stars,127,20
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,69900,3 stars,0,0
+Lenovo,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,65990,4 stars,241,19
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,49990,3 stars,22,2
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,58990,4 stars,8,1
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,74590,4 stars,898,128
+ASUS,Intel,Core i5,10th,8 GB,DDR4,256 GB,1024 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,58990,5 stars,1,1
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,64990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,66490,3 stars,6,1
+DELL,Intel,Core i5,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,77900,4 stars,179,34
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,67490,3 stars,41,5
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,61990,3 stars,0,0
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,58990,4 stars,114,9
+Lenovo,Intel,Core i5,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,74999,4 stars,268,25
+ASUS,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,68900,5 stars,6,1
+DELL,Intel,Core i5,11th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,71695,4 stars,153,16
+acer,Intel,Core i5,11th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,62490,3 stars,8,0
+DELL,Intel,Core i5,8th,8 GB,DDR4,0 GB,2048 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,62317,4 stars,377,53
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,8 GB,Casual,No warranty,No,No,207290,3 stars,0,0
+DELL,Intel,Core i7,8th,16 GB,DDR4,256 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,87990,4 stars,120,21
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+Avita,Intel,Core i7,8th,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,73990,3 stars,0,0
+ASUS,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,57990,4 stars,76,9
+ASUS,Intel,Core i7,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,61990,4 stars,11,2
+MSI,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,79990,4 stars,484,56
+Lenovo,Intel,Core i7,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,68990,4 stars,44,2
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,85990,4 stars,77,10
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,99990,4 stars,11,3
+ASUS,Intel,Core i7,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,77990,4 stars,21,5
+Lenovo,Intel,Core i7,11th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,79990,4 stars,5,2
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,93190,5 stars,4,0
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,94990,3 stars,0,0
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,3 years,Yes,Yes,84990,4 stars,13,2
+MSI,Intel,Core i7,10th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,57990,4 stars,15,0
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,102990,4 stars,11,2
+DELL,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,99990,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,94990,4 stars,118,15
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,104000,3 stars,0,0
+MSI,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,76990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,90190,4 stars,6,1
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,Yes,No,88488,3 stars,0,0
+MSI,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,109990,4 stars,138,30
+MSI,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,86990,3 stars,0,0
+MSI,Intel,Core i7,11th,16 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,89990,3 stars,0,0
+HP,Intel,Core i7,10th,16 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,239759,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,78990,4 stars,35,4
+DELL,Intel,Core i7,8th,16 GB,DDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,121890,1 star,3,0
+ASUS,Intel,Core i7,8th,16 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,85990,4 stars,18,0
+MSI,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,94990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,92000,4 stars,8,1
+HP,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,162990,3 stars,3,1
+DELL,Intel,Core i7,11th,16 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,135300,5 stars,5,2
+MSI,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,64990,4 stars,33,5
+Lenovo,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,3 years,No,No,174527,3 stars,0,0
+Lenovo,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,162299,3 stars,0,0
+DELL,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,109190,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,99999,3 stars,0,0
+MSI,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,No,104990,4 stars,85,9
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,Yes,No,109990,3 stars,0,0
+ASUS,Intel,Core i7,8th,16 GB,DDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,99990,4 stars,30,7
+Lenovo,Intel,Core i7,8th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,ThinNlight,No warranty,No,No,244801,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,94990,3 stars,0,0
+Lenovo,Intel,Core i7,8th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,86000,3 stars,0,0
+Lenovo,Intel,Core i7,10th,16 GB,DDR4,512 GB,0 GB,Windows,32-bit,2 GB,Casual,No warranty,No,No,162399,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,119599,3 stars,0,0
+Lenovo,Intel,Core i7,10th,16 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,211753,3 stars,0,0
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,110999,3 stars,0,0
+DELL,Intel,Core i7,11th,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,99990,3 stars,0,0
+ASUS,Intel,Core i7,8th,8 GB,LPDDR3,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,81990,4 stars,40,4
+MSI,Intel,Core i7,9th,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,66990,4 stars,1639,230
+MSI,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,2 years,No,No,84990,4 stars,498,64
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,Yes,Yes,104990,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,134990,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,98990,4 stars,445,56
+HP,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,Yes,144690,4 stars,17,4
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,99990,3 stars,0,0
+MSI,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,2 years,No,No,119990,4 stars,20,3
+ASUS,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,32-bit,4 GB,Casual,1 year,No,No,194990,3 stars,0,0
+ASUS,Intel,Core i7,10th,16 GB,LPDDR3,1024 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,124990,4 stars,17,1
+DELL,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,122410,3 stars,0,0
+HP,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,179990,4 stars,13,5
+MSI,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,2 years,Yes,No,154990,4 stars,3,2
+Lenovo,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,122990,3 stars,4,2
+ASUS,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,Yes,No,224990,4 stars,9,0
+MSI,Intel,Core i7,12th,16 GB,DDR5,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,No warranty,No,No,279990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,121990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,116990,3 stars,0,0
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,151098,4 stars,7,0
+MSI,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,2 years,No,No,129990,4 stars,14,3
+HP,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,149999,3 stars,0,0
+MSI,Intel,Core i7,12th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,139990,4 stars,4,2
+acer,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,129990,4 stars,54,7
+HP,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,Yes,171990,3 stars,0,0
+DELL,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,93955,4 stars,4,0
+ASUS,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,No warranty,No,No,234990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,128500,3 stars,3,1
+Lenovo,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,102990,4 stars,16,2
+ASUS,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,119990,4 stars,8,1
+ASUS,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,32-bit,6 GB,Casual,No warranty,No,No,120980,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,32-bit,6 GB,Casual,1 year,No,No,157249,4 stars,7,0
+Lenovo,Intel,Core i7,9th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,ThinNlight,No warranty,No,No,229900,3 stars,0,0
+ASUS,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,131500,3 stars,0,0
+ASUS,Intel,Core i7,10th,16 GB,LPDDR3,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,154990,5 stars,3,0
+ASUS,Intel,Core i7,10th,16 GB,LPDDR3,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,165990,3 stars,0,0
+Lenovo,Intel,Core i7,10th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,119990,2 stars,2,1
+ASUS,Intel,Core i7,10th,16 GB,LPDDR3,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,167990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,165000,3 stars,0,0
+Avita,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,62990,3 stars,207,49
+Lenovo,Intel,Core i7,11th,16 GB,LPDDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,85990,3 stars,7,2
+HP,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,94990,3 stars,0,0
+HP,Intel,Core i7,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,Yes,136990,3 stars,0,0
+Lenovo,Intel,Core i7,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,Yes,234990,3 stars,0,0
+acer,Intel,Core i7,10th,16 GB,DDR4,2048 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,No,159990,3 stars,4,0
+ASUS,Intel,Core i7,10th,16 GB,LPDDR3,2048 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,233990,3 stars,0,0
+ASUS,Intel,Core i7,10th,16 GB,DDR4,0 GB,1024 GB,Windows,64-bit,2 GB,Casual,No warranty,No,No,93990,3 stars,0,0
+HP,Intel,Core i7,8th,16 GB,DDR4,128 GB,1024 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,116941,3 stars,0,0
+MSI,Intel,Core i7,10th,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,2 years,No,No,63990,4 stars,794,83
+ASUS,Intel,Core i7,10th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,66990,4 stars,25,4
+ASUS,Intel,Core i7,11th,16 GB,DDR4,256 GB,1024 GB,Windows,32-bit,0 GB,ThinNlight,No warranty,No,No,82500,3 stars,0,0
+acer,Intel,Core i7,10th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,119990,4 stars,2038,313
+MSI,Intel,Core i7,10th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,3 years,No,No,159990,3 stars,0,0
+ASUS,Intel,Core i7,8th,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,98912,3 stars,0,0
+acer,Intel,Core i7,11th,16 GB,DDR4,512 GB,1024 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,92990,4 stars,214,37
+acer,Intel,Core i7,11th,16 GB,DDR4,512 GB,1024 GB,Windows,32-bit,6 GB,Casual,1 year,No,No,119990,4 stars,342,54
+acer,Intel,Core i9,11th,32 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,No,169990,3 stars,0,0
+acer,Intel,Core i9,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,139990,3 stars,0,0
+MSI,Intel,Core i9,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,192990,3 stars,0,0
+ASUS,Intel,Core i9,12th,16 GB,DDR5,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,299990,3 stars,0,0
+ASUS,Intel,Core i9,10th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,Yes,No,269990,4 stars,8,1
+ASUS,Intel,Core i9,11th,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Gaming,1 year,No,No,139990,3 stars,0,0
+Lenovo,Intel,Core i9,10th,16 GB,DDR4,1024 GB,0 GB,Windows,32-bit,8 GB,Casual,No warranty,No,No,265998,3 stars,0,0
+ASUS,Intel,Core i9,11th,16 GB,DDR4,3072 GB,0 GB,Windows,32-bit,6 GB,Casual,1 year,No,No,441990,5 stars,1,1
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,4 GB,Casual,No warranty,No,No,86990,4 stars,218,27
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,6 GB,Casual,No warranty,No,No,109990,4 stars,78,16
+MSI,Intel,Core i5,10th,8 GB,LPDDR4,0 GB,512 GB,DOS,32-bit,4 GB,Casual,No warranty,No,No,109590,4 stars,5,2
+ASUS,Intel,Core i7,10th,16 GB,LPDDR4X,0 GB,512 GB,DOS,32-bit,6 GB,Casual,No warranty,No,No,146490,3 stars,2,1
+APPLE,M1,M1,10th,8 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,85990,4 stars,6725,629
+APPLE,M1,M1,10th,8 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,112990,4 stars,640,70
+APPLE,M1,M1,10th,16 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,104990,4 stars,45,4
+APPLE,M1,M1,10th,8 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,112990,4 stars,640,70
+APPLE,M1,M1,10th,16 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,132990,4 stars,640,70
+APPLE,M1,M1,10th,16 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,104990,4 stars,45,4
+APPLE,M1,M1,10th,8 GB,DDR4,256 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,85990,4 stars,6725,629
+APPLE,M1,M1,10th,16 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,149990,4 stars,640,70
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,125990,4 stars,399,45
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,103990,4 stars,809,91
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,101990,4 stars,809,91
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,104990,4 stars,6725,629
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,131990,4 stars,399,45
+APPLE,M1,M1,10th,16 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,128990,4 stars,45,4
+APPLE,M1,M1,10th,16 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,184990,4 stars,42,8
+APPLE,M1,M1,10th,16 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,225990,4 stars,42,8
+APPLE,M1,M1,10th,4 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,124990,4 stars,45,4
+APPLE,M1,M1,10th,8 GB,DDR4,512 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,104990,4 stars,6725,629
+APPLE,M1,M1,10th,8 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,149990,4 stars,640,70
+APPLE,M1,M1,10th,16 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,169990,4 stars,640,70
+APPLE,M1,M1,10th,16 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,225990,4 stars,42,8
+APPLE,M1,M1,10th,16 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,243990,4 stars,42,8
+APPLE,M1,M1,10th,32 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,309990,5 stars,3,1
+APPLE,M1,M1,10th,16 GB,DDR4,1024 GB,0 GB,Mac,64-bit,0 GB,Casual,1 year,No,No,225990,4 stars,42,8
+ASUS,Intel,Pentium Quad,Not Available,4 GB,LPDDR4X,0 GB,512 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,45990,3 stars,0,0
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,128 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,Yes,No,58100,3 stars,0,0
+ASUS,Intel,Pentium Quad,Not Available,8 GB,LPDDR4X,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,62990,3 stars,0,0
+HP,Intel,Pentium Quad,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,32990,4 stars,77,9
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,33990,4 stars,6,0
+acer,Intel,Pentium Quad,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,30990,4 stars,465,89
+DELL,Intel,Pentium Quad,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,36000,4 stars,102,16
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,32990,4 stars,7,1
+DELL,Intel,Pentium Quad,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,35990,3 stars,0,0
+ASUS,Intel,Pentium Quad,Not Available,4 GB,LPDDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,27990,3 stars,0,0
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,25990,3 stars,4741,658
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,25990,3 stars,2736,350
+ASUS,Intel,Pentium Quad,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,30780,3 stars,0,0
+HP,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,37990,4 stars,2214,241
+ASUS,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,35990,4 stars,2886,375
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,39490,4 stars,34,4
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,36990,4 stars,137,15
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,39990,4 stars,7,0
+ASUS,AMD,Ryzen 3,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,33690,4 stars,170,26
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,40590,3 stars,0,0
+ASUS,AMD,Ryzen 3,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,37990,4 stars,39,3
+ASUS,AMD,Ryzen 3,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,34500,4 stars,2886,375
+acer,AMD,Ryzen 3,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,36990,4 stars,11,2
+HP,AMD,Ryzen 3,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,43490,4 stars,163,33
+HP,AMD,Ryzen 3,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,41490,4 stars,153,21
+acer,AMD,Ryzen 3,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,34990,3 stars,0,0
+HP,AMD,Ryzen 3,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44490,4 stars,267,42
+DELL,AMD,Ryzen 3,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,40590,3 stars,0,0
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,42090,3 stars,3,0
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,35990,4 stars,59,12
+HP,AMD,Ryzen 3,Not Available,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,39490,4 stars,7291,895
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,37390,4 stars,38,5
+DELL,AMD,Ryzen 3,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,52632,3 stars,0,0
+DELL,AMD,Ryzen 3,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,39990,4 stars,409,39
+DELL,AMD,Ryzen 3,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,43990,3 stars,0,0
+HP,AMD,Ryzen 3,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,32917,4 stars,353,58
+Lenovo,AMD,Ryzen 3,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,34990,3 stars,38,6
+DELL,AMD,Ryzen 3,Not Available,8 GB,DDR4,0 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,39990,3 stars,18,4
+HP,AMD,Ryzen 3,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,41999,4 stars,3524,432
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,41990,4 stars,939,107
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,44490,4 stars,14,1
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,41990,4 stars,649,84
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,44490,4 stars,8,2
+MSI,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,49990,3 stars,0,0
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,44390,4 stars,276,24
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,57990,4 stars,4740,532
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,56990,4 stars,162,15
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,48990,4 stars,219,27
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,49970,4 stars,193,28
+MSI,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,47990,4 stars,562,89
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,48990,4 stars,45,5
+acer,AMD,Ryzen 5,Not Available,8 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,53990,4 stars,7,0
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,52990,4 stars,39,5
+acer,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,43990,3 stars,0,0
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,59490,4 stars,92,10
+MSI,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,64990,4 stars,469,80
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,No warranty,No,No,47490,2 stars,2,1
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,59990,4 stars,1978,188
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,69990,4 stars,9,0
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,58990,4 stars,1049,134
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,59490,4 stars,74,18
+HP,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,67500,4 stars,196,19
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,48990,4 stars,17,1
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,62450,4 stars,172,36
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,58990,4 stars,324,34
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,57999,4 stars,86,15
+ASUS,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,56990,4 stars,4,1
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,72990,4 stars,16,4
+HP,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,65990,4 stars,104,18
+HP,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,98020,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,63990,4 stars,90,13
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,ThinNlight,1 year,No,Yes,49890,4 stars,6,1
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,49990,4 stars,47,7
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,59490,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,73999,4 stars,206,27
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,60990,4 stars,183,42
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,76190,4 stars,358,64
+Lenovo,AMD,Ryzen 5,Not Available,4 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,3 years,Yes,Yes,74798,3 stars,0,0
+ASUS,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,58990,4 stars,88,13
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,68100,3 stars,0,0
+Lenovo,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,Yes,77990,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,55090,4 stars,364,52
+ASUS,AMD,Ryzen 5,Not Available,4 GB,LPDDR4X,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,91990,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,84208,3 stars,0,0
+acer,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,44990,4 stars,313,39
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,53490,4 stars,826,118
+Lenovo,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,76498,3 stars,0,0
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,98920,3 stars,0,0
+MSI,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,54990,4 stars,1410,203
+acer,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,49990,4 stars,47,6
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,52380,3 stars,0,0
+acer,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,49990,4 stars,6,1
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,52500,4 stars,741,67
+ASUS,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,49990,4 stars,14,2
+acer,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,75999,3 stars,0,0
+ASUS,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,80990,3 stars,0,0
+Lenovo,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,No,No,59900,3 stars,3,0
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,54590,4 stars,349,69
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,75500,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,51890,4 stars,519,48
+ASUS,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,78000,2 stars,3,0
+HP,AMD,Ryzen 5,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,59999,4 stars,19,1
+HP,AMD,Ryzen 5,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,64990,3 stars,8,1
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,57900,4 stars,3,1
+Lenovo,AMD,Ryzen 5,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,3 years,Yes,Yes,81978,3 stars,0,0
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,0 GB,1024 GB,Windows,64-bit,4 GB,Gaming,1 year,No,No,59990,4 stars,1480,151
+DELL,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,49490,4 stars,31,3
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,54990,4 stars,18,3
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,68500,4 stars,271,24
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,54990,4 stars,49,6
+ASUS,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,32-bit,0 GB,Casual,1 year,No,Yes,54990,4 stars,474,65
+Lenovo,AMD,Ryzen 5,Not Available,8 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Gaming,1 year,No,Yes,63990,4 stars,861,116
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,1 year,No,No,80000,4 stars,34,6
+DELL,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,51990,3 stars,0,0
+ASUS,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,62990,4 stars,165,34
+HP,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,52990,4 stars,698,74
+ASUS,AMD,Ryzen 5,Not Available,4 GB,DDR4,256 GB,1024 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,75100,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Gaming,No warranty,No,No,76990,4 stars,22,3
+ASUS,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,79990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,71990,4 stars,144,16
+ASUS,AMD,Ryzen 7,Not Available,8 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,71990,4 stars,1810,235
+Lenovo,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,99990,4 stars,26,1
+ASUS,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,79990,3 stars,0,0
+DELL,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,93990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,No warranty,No,No,82990,4 stars,1067,145
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR5,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,106990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,92990,4 stars,25,4
+Lenovo,Intel,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Casual,3 years,No,Yes,81490,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,56990,3 stars,0,0
+MSI,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,64990,3 stars,0,0
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,60990,4 stars,530,69
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,Yes,84988,3 stars,0,0
+HP,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,90990,4 stars,273,40
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,63990,4 stars,77,7
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,63990,4 stars,105,10
+HP,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,57999,4 stars,44,5
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,72400,3 stars,0,0
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,No,78990,4 stars,6,0
+acer,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,No,59990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR5,512 GB,0 GB,Windows,32-bit,4 GB,Casual,1 year,No,No,111990,3 stars,0,0
+HP,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,0 GB,Casual,No warranty,Yes,No,109000,3 stars,0,0
+DELL,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,89990,4 stars,191,27
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,3 years,Yes,Yes,78988,3 stars,0,0
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,73138,3 stars,4,1
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,106990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,32-bit,4 GB,Casual,No warranty,No,No,79990,3 stars,0,0
+DELL,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,Yes,Yes,89570,3 stars,0,0
+HP,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,68500,4 stars,134,22
+Lenovo,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,73400,3 stars,0,0
+HP,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,2 GB,Casual,1 year,No,Yes,79990,3 stars,23,6
+HP,AMD,Ryzen 7,Not Available,16 GB,DDR4,512 GB,0 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,84990,2 stars,4,2
+MSI,AMD,Ryzen 7,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,No,99990,4 stars,108,24
+ASUS,AMD,Ryzen 7,Not Available,8 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,72990,4 stars,198,24
+HP,AMD,Ryzen 7,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,Yes,Yes,92990,3 stars,0,0
+HP,AMD,Ryzen 7,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,84190,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,112990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR5,1024 GB,0 GB,Windows,32-bit,4 GB,Casual,1 year,No,No,114990,3 stars,0,0
+acer,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,99990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,32-bit,4 GB,Gaming,No warranty,No,No,95990,4 stars,57,3
+HP,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,No,159990,4 stars,17,2
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,76990,3 stars,0,0
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,Yes,130990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,99990,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR5,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,112990,3 stars,0,0
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,77988,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,Yes,76000,5 stars,1,1
+ASUS,AMD,Ryzen 7,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,No,99990,4 stars,77,15
+ASUS,AMD,Ryzen 7,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,111000,3 stars,0,0
+ASUS,AMD,Ryzen 7,Not Available,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,ThinNlight,1 year,No,Yes,84970,3 stars,2,1
+HP,AMD,Ryzen 7,Not Available,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Gaming,1 year,No,Yes,75990,4 stars,1084,123
+acer,AMD,Ryzen 7,Not Available,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,89990,4 stars,272,36
+acer,AMD,Ryzen 7,Not Available,16 GB,DDR4,256 GB,1024 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,81990,4 stars,141,24
+Lenovo,AMD,Ryzen 7,Not Available,4 GB,DDR4,512 GB,1024 GB,Windows,32-bit,0 GB,Casual,No warranty,No,No,80490,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,No,135990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,32-bit,0 GB,Casual,1 year,No,No,154990,4 stars,194,42
+ASUS,AMD,Ryzen 9,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,Yes,199990,4 stars,9,2
+ASUS,AMD,Ryzen 9,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,114990,4 stars,28,4
+ASUS,AMD,Ryzen 9,Not Available,16 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,1 year,No,Yes,129990,4 stars,204,35
+ASUS,AMD,Ryzen 9,Not Available,16 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,Yes,114990,4 stars,32,6
+MSI,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,No,No,146990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,104990,4 stars,14,2
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,No,114990,4 stars,14,1
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,Yes,124990,5 stars,3,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,No warranty,Yes,No,134990,3 stars,0,0
+HP,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,8 GB,Casual,1 year,No,Yes,141990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,129990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,Yes,142990,4 stars,4,1
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,121990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,Yes,124990,4 stars,44,12
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,6 GB,Casual,No warranty,No,No,141990,4 stars,61,13
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,162990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,130500,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,No warranty,No,No,116990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,32-bit,6 GB,Casual,No warranty,No,No,138990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,LPDDR4X,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,Yes,Yes,234990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,135990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,0 GB,Casual,1 year,No,No,144990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,149990,3 stars,0,0
+ASUS,AMD,Ryzen 9,Not Available,4 GB,DDR4,1024 GB,0 GB,Windows,64-bit,4 GB,Casual,1 year,No,No,142990,3 stars,0,0
+Lenovo,AMD,Ryzen 5,10th,8 GB,DDR4,512 GB,0 GB,DOS,64-bit,0 GB,ThinNlight,No warranty,No,No,57490,4 stars,18,4
diff --git a/machine-learning/week2/14474517749_600f20185e_c.jpg b/machine-learning/week2/14474517749_600f20185e_c.jpg
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diff --git a/machine-learning/week2/PR_curve.png b/machine-learning/week2/PR_curve.png
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diff --git a/machine-learning/week2/confusion_matrix.png b/machine-learning/week2/confusion_matrix.png
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index 000000000..cd7f45ba1
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diff --git a/machine-learning/week2/data.yaml b/machine-learning/week2/data.yaml
new file mode 100644
index 000000000..23a61c408
--- /dev/null
+++ b/machine-learning/week2/data.yaml
@@ -0,0 +1,7 @@
+train: data_images/train
+val: data_images/text
+nc: 3
+names: ['person',
+        'car',
+        'bus'
+]
\ No newline at end of file
diff --git a/machine-learning/week2/results.png b/machine-learning/week2/results.png
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diff --git a/machine-learning/week2/val_batch0_labels.jpg b/machine-learning/week2/val_batch0_labels.jpg
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diff --git a/machine-learning/week2/val_batch0_pred.jpg b/machine-learning/week2/val_batch0_pred.jpg
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diff --git a/machine-learning/week2/yolo_pred.png b/machine-learning/week2/yolo_pred.png
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diff --git a/machine-learning/week2/yolo_predictions.ipynb b/machine-learning/week2/yolo_predictions.ipynb
new file mode 100644
index 000000000..c9421aa11
--- /dev/null
+++ b/machine-learning/week2/yolo_predictions.ipynb
@@ -0,0 +1,244 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "1e2c1523",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: PyYAML in c:\\users\\adity\\onedrive\\desktop\\ml project week 2\\yolo_venv\\lib\\site-packages (6.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install PyYAML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f403f869",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cv2\n",
+    "import numpy as np\n",
+    "import os\n",
+    "import yaml\n",
+    "from yaml.loader import SafeLoader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "6588072b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['person', 'car', 'bus']\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open('data.yaml',mode='r') as f:\n",
+    "    data_yaml=yaml.load(f,Loader=SafeLoader)\n",
+    "\n",
+    "label=data_yaml['names']\n",
+    "print(label)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "c4562cb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Load Yolo Model\n",
+    "yolo=cv2.dnn.readNetFromONNX('./Model2/weights/best.onnx')\n",
+    "yolo.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)\n",
+    "yolo.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "1ee09254",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Load the image\n",
+    "img=cv2.imread('./14474517749_600f20185e_c.jpg')\n",
+    "image=img.copy()\n",
+    "row,col,d=image.shape\n",
+    "\n",
+    "#get YOLO predictions\n",
+    "#step-1:-convert image into square image(array)\n",
+    "max_rc=max(row,col)\n",
+    "input_image=np.zeros((max_rc,max_rc,3),dtype=np.uint8)\n",
+    "input_image[0:row,0:col]=image\n",
+    "#step2:- get prediction from square array\n",
+    "INPUT_WH_YOLO=640\n",
+    "blob=cv2.dnn.blobFromImage(input_image,1/255,(INPUT_WH_YOLO,INPUT_WH_YOLO),swapRB=True,crop=False)\n",
+    "yolo.setInput(blob)\n",
+    "preds=yolo.forward()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "09278889",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1, 25200, 8)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(preds.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "652c5418",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Non Maximum Suppression\n",
+    "#step-1:- filter detection based on confidence(0.4) and probability(0.25)\n",
+    "detections=preds[0]\n",
+    "boxes=[]\n",
+    "confidences=[]\n",
+    "classes=[]\n",
+    "#width and height of input image\n",
+    "image_w,image_h=input_image.shape[:2]\n",
+    "x_factor=image_w/INPUT_WH_YOLO\n",
+    "y_factor=image_h/INPUT_WH_YOLO\n",
+    "\n",
+    "for i in range(len(detections)):\n",
+    "    row=detections[i]\n",
+    "    confidence=row[4]\n",
+    "    if confidence>0.4:\n",
+    "        class_score=row[5:].max()\n",
+    "        class_id=row[5:].argmax()\n",
+    "        \n",
+    "        if class_score>0.25:\n",
+    "            cx,cy,w,h=row[0:4]\n",
+    "            left=int((cx-0.5*w)*x_factor)\n",
+    "            top=int((cy-0.5*h)*y_factor)\n",
+    "            width=int(w*x_factor)\n",
+    "            height=int(h*y_factor)\n",
+    "            \n",
+    "            box=np.array([left,top,width,height])\n",
+    "            \n",
+    "            #append values to the list\n",
+    "            confidences.append(confidence)\n",
+    "            boxes.append(box)\n",
+    "            classes.append(class_id)\n",
+    "\n",
+    "#clean\n",
+    "boxes_np=np.array(boxes).tolist()\n",
+    "confidences_np=np.array(confidences).tolist()\n",
+    "\n",
+    "#NMS\n",
+    "index=cv2.dnn.NMSBoxes(boxes_np,confidences_np,0.25,0.45).flatten()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "040b6def",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 3, 16,  1, 13])"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "80d09058",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Draw bounding box\n",
+    "for ind in index:\n",
+    "    x,y,w,h=boxes_np[ind]\n",
+    "    bb_conf=int(confidences_np[ind]*100)\n",
+    "    classes_id=classes[ind]\n",
+    "    class_name=label[classes_id]\n",
+    "    \n",
+    "    text=f'{class_name}:{bb_conf}%'\n",
+    "    cv2.rectangle(image,(x,y),(x+w,y+h),(0,255,0),2)\n",
+    "    cv2.rectangle(image,(x,y-30),(x+w,y),(255,255,255),-1)\n",
+    "    cv2.putText(image,text,(x,y-10),cv2.FONT_HERSHEY_PLAIN,0.7,(0,0,0),1)\n",
+    "    \n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "ec61c7be",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cv2.imshow('yolo_prediction',image)\n",
+    "cv2.waitKey(0)\n",
+    "cv2.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90114aee",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine-learning/week2/yolo_training.ipynb b/machine-learning/week2/yolo_training.ipynb
new file mode 100644
index 000000000..96831b167
--- /dev/null
+++ b/machine-learning/week2/yolo_training.ipynb
@@ -0,0 +1 @@
+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","mount_file_id":"1_gYiiwrRKRxRaFYn2Awcx2XTwH9xYs0L","authorship_tag":"ABX9TyPSaW6RXMSvM4ICqYkxAltA"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":2,"metadata":{"id":"3jffXkBhXnPl","executionInfo":{"status":"ok","timestamp":1688799333022,"user_tz":-330,"elapsed":3,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"outputs":[],"source":["import os\n","os.chdir('/content/drive/MyDrive')"]},{"cell_type":"code","source":["os.chdir('/content/drive/MyDrive/yolov5')\n"],"metadata":{"id":"ULbuF2K-Yv07","executionInfo":{"status":"ok","timestamp":1688799374355,"user_tz":-330,"elapsed":3,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["!pip install -r requirements.txt\n"],"metadata":{"id":"0lF8dB0FHKXU","executionInfo":{"status":"ok","timestamp":1688799411686,"user_tz":-330,"elapsed":8409,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"53f2c8af-4995-473b-dd81-b15b7dff4e03"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting gitpython>=3.1.30 (from -r requirements.txt (line 5))\n","  Downloading GitPython-3.1.31-py3-none-any.whl (184 kB)\n","\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/184.3 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m184.3/184.3 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m184.3/184.3 kB\u001b[0m \u001b[31m4.7 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requirements.txt (line 5))\n","  Downloading smmap-5.0.0-py3-none-any.whl (24 kB)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3->-r requirements.txt (line 6)) (1.16.0)\n","Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.7.0->-r requirements.txt (line 15)) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.7.0->-r requirements.txt (line 15)) (1.3.0)\n","Installing collected packages: smmap, gitdb, gitpython, ultralytics, thop\n","Successfully installed gitdb-4.0.10 gitpython-3.1.31 smmap-5.0.0 thop-0.1.1.post2209072238 ultralytics-8.0.131\n"]}]},{"cell_type":"markdown","source":["## Training YOLO v5 Model"],"metadata":{"id":"wTlllS1BJ--S"}},{"cell_type":"code","source":["!python train.py --data data.yaml --cfg yolov5s.yaml --batch-size 8 --name Model --epochs 50"],"metadata":{"id":"DxY0o1FpHd2v","executionInfo":{"status":"ok","timestamp":1688810325977,"user_tz":-330,"elapsed":5508543,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"821a13d8-3cb6-4417-ecc3-ddb067793307"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[34m\u001b[1mtrain: \u001b[0mweights=yolov5s.pt, cfg=yolov5s.yaml, data=data.yaml, hyp=data/hyps/hyp.scratch-low.yaml, epochs=50, batch_size=8, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train, name=Model, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n","\u001b[34m\u001b[1mgithub: \u001b[0mup to date with https://github.com/ultralytics/yolov5 ✅\n","YOLOv5 🚀 v7.0-193-g485da42 Python-3.10.12 torch-2.0.1+cu118 CPU\n","\n","\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0\n","\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet\n","\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n","Overriding model.yaml nc=80 with nc=3\n","\n","                 from  n    params  module                                  arguments                     \n","  0                -1  1      3520  models.common.Conv                      [3, 32, 6, 2, 2]              \n","  1                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]                \n","  2                -1  1     18816  models.common.C3                        [64, 64, 1]                   \n","  3                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]               \n","  4                -1  2    115712  models.common.C3                        [128, 128, 2]                 \n","  5                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]              \n","  6                -1  3    625152  models.common.C3                        [256, 256, 3]                 \n","  7                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]              \n","  8                -1  1   1182720  models.common.C3                        [512, 512, 1]                 \n","  9                -1  1    656896  models.common.SPPF                      [512, 512, 5]                 \n"," 10                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]              \n"," 11                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n"," 12           [-1, 6]  1         0  models.common.Concat                    [1]                           \n"," 13                -1  1    361984  models.common.C3                        [512, 256, 1, False]          \n"," 14                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]              \n"," 15                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']          \n"," 16           [-1, 4]  1         0  models.common.Concat                    [1]                           \n"," 17                -1  1     90880  models.common.C3                        [256, 128, 1, False]          \n"," 18                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]              \n"," 19          [-1, 14]  1         0  models.common.Concat                    [1]                           \n"," 20                -1  1    296448  models.common.C3                        [256, 256, 1, False]          \n"," 21                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]              \n"," 22          [-1, 10]  1         0  models.common.Concat                    [1]                           \n"," 23                -1  1   1182720  models.common.C3                        [512, 512, 1, False]          \n"," 24      [17, 20, 23]  1     21576  models.yolo.Detect                      [3, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]\n","YOLOv5s summary: 214 layers, 7027720 parameters, 7027720 gradients, 16.0 GFLOPs\n","\n","Transferred 342/349 items from yolov5s.pt\n","\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n","\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/yolov5/data_images/train... 82 images, 1 backgrounds, 0 corrupt: 100% 82/82 [00:01<00:00, 53.66it/s] \n","\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/yolov5/data_images/train.cache\n","\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/yolov5/data_images/text... 3 images, 0 backgrounds, 0 corrupt: 100% 3/3 [00:01<00:00,  2.82it/s]\n","\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/yolov5/data_images/text.cache\n","\n","\u001b[34m\u001b[1mAutoAnchor: \u001b[0m3.73 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅\n","Plotting labels to runs/train/Model2/labels.jpg... \n","Image sizes 640 train, 640 val\n","Using 2 dataloader workers\n","Logging results to \u001b[1mruns/train/Model2\u001b[0m\n","Starting training for 50 epochs...\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       0/49         0G     0.1161    0.03893    0.04167         12        640: 100% 11/11 [02:06<00:00, 11.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.39s/it]\n","                   all          3         18    0.00107      0.037   0.000673   0.000135\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       1/49         0G    0.09862    0.04005    0.03659          9        640: 100% 11/11 [01:50<00:00, 10.09s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.49s/it]\n","                   all          3         18     0.0041      0.159     0.0522     0.0153\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       2/49         0G    0.08266    0.03738    0.03076          4        640: 100% 11/11 [01:49<00:00,  9.98s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.02s/it]\n","                   all          3         18     0.0117     0.0476     0.0673     0.0348\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       3/49         0G    0.07482    0.04355    0.02702          7        640: 100% 11/11 [01:46<00:00,  9.67s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.03it/s]\n","                   all          3         18      0.737     0.0476      0.209     0.0914\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       4/49         0G    0.07288    0.03607    0.02362          5        640: 100% 11/11 [01:50<00:00, 10.08s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.09it/s]\n","                   all          3         18      0.149       0.55      0.137     0.0626\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       5/49         0G    0.07222    0.03698    0.01859          8        640: 100% 11/11 [01:53<00:00, 10.34s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.11it/s]\n","                   all          3         18      0.256      0.735      0.395      0.149\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       6/49         0G    0.07246    0.03538    0.01772          6        640: 100% 11/11 [01:50<00:00, 10.02s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.11it/s]\n","                   all          3         18      0.336      0.777      0.515      0.306\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       7/49         0G    0.06733    0.03171    0.01341         13        640: 100% 11/11 [01:46<00:00,  9.67s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.12it/s]\n","                   all          3         18      0.201      0.561      0.326     0.0655\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       8/49         0G    0.07045    0.03227    0.01263         22        640: 100% 11/11 [01:51<00:00, 10.14s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.13it/s]\n","                   all          3         18      0.112      0.455      0.385     0.0777\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","       9/49         0G    0.07147    0.02946    0.01026         15        640: 100% 11/11 [01:49<00:00,  9.97s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.51s/it]\n","                   all          3         18      0.527      0.852      0.695      0.227\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      10/49         0G    0.06371    0.02496    0.01003          9        640: 100% 11/11 [01:49<00:00,  9.97s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.63s/it]\n","                   all          3         18      0.467      0.497      0.595      0.233\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      11/49         0G    0.06603    0.03688   0.008501         24        640: 100% 11/11 [01:49<00:00,  9.99s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.49s/it]\n","                   all          3         18      0.539       0.45      0.285     0.0712\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      12/49         0G    0.06711    0.02576   0.008021          5        640: 100% 11/11 [01:51<00:00, 10.12s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.17it/s]\n","                   all          3         18      0.839      0.588      0.633      0.271\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      13/49         0G    0.06085    0.02901   0.009211          9        640: 100% 11/11 [01:46<00:00,  9.69s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.18it/s]\n","                   all          3         18      0.611      0.402      0.503      0.171\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      14/49         0G    0.05703    0.02694   0.005594          7        640: 100% 11/11 [01:45<00:00,  9.56s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.25s/it]\n","                   all          3         18      0.635      0.365      0.546      0.246\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      15/49         0G    0.06106    0.02711   0.006112          7        640: 100% 11/11 [01:49<00:00,  9.95s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.566      0.311      0.445      0.207\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      16/49         0G    0.05427    0.02589   0.006042         18        640: 100% 11/11 [01:47<00:00,  9.82s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.739      0.556      0.505      0.235\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      17/49         0G    0.05825    0.02544   0.006869          7        640: 100% 11/11 [01:47<00:00,  9.80s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.17it/s]\n","                   all          3         18      0.836      0.412      0.562      0.315\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      18/49         0G    0.05945    0.02366   0.006067         10        640: 100% 11/11 [01:52<00:00, 10.20s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.18it/s]\n","                   all          3         18      0.897      0.556      0.569       0.25\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      19/49         0G    0.05479    0.02229   0.004749          8        640: 100% 11/11 [01:48<00:00,  9.87s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.21it/s]\n","                   all          3         18      0.677      0.384      0.449      0.164\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      20/49         0G    0.05911    0.02729   0.005224         12        640: 100% 11/11 [01:49<00:00,  9.93s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.56s/it]\n","                   all          3         18      0.818      0.556      0.531      0.271\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      21/49         0G    0.05191    0.02783   0.004602          9        640: 100% 11/11 [01:48<00:00,  9.82s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.17it/s]\n","                   all          3         18      0.831      0.556      0.596      0.281\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      22/49         0G    0.05206    0.02473   0.005628          9        640: 100% 11/11 [01:50<00:00, 10.05s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.50s/it]\n","                   all          3         18      0.839      0.556       0.63      0.295\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      23/49         0G    0.05266    0.02518   0.006268          7        640: 100% 11/11 [01:48<00:00,  9.89s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.18it/s]\n","                   all          3         18      0.764      0.563      0.556      0.295\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      24/49         0G    0.05098    0.02813   0.005726         15        640: 100% 11/11 [01:44<00:00,  9.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.21it/s]\n","                   all          3         18      0.859      0.556       0.89      0.419\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      25/49         0G    0.04823    0.02392   0.003812          4        640: 100% 11/11 [01:48<00:00,  9.82s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.848      0.556       0.61      0.323\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      26/49         0G     0.0462    0.02492   0.003717          4        640: 100% 11/11 [01:45<00:00,  9.63s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.42s/it]\n","                   all          3         18      0.963      0.556      0.642      0.357\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      27/49         0G    0.04581    0.02903   0.003836         21        640: 100% 11/11 [01:43<00:00,  9.44s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.752       0.63      0.692      0.241\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      28/49         0G    0.04762    0.01989   0.003432          7        640: 100% 11/11 [01:46<00:00,  9.67s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.967      0.506      0.937      0.481\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      29/49         0G    0.04104    0.02147   0.004868          5        640: 100% 11/11 [01:45<00:00,  9.57s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.18it/s]\n","                   all          3         18      0.909      0.556      0.924      0.446\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      30/49         0G    0.04429    0.02427   0.003976         17        640: 100% 11/11 [01:45<00:00,  9.61s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.844      0.556      0.894      0.475\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      31/49         0G    0.04068    0.01996   0.004171          4        640: 100% 11/11 [01:45<00:00,  9.56s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.48s/it]\n","                   all          3         18      0.939      0.589      0.965      0.517\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      32/49         0G    0.04129    0.02077   0.004495          7        640: 100% 11/11 [01:44<00:00,  9.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.20it/s]\n","                   all          3         18      0.726      0.556      0.852        0.5\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      33/49         0G    0.04331    0.02618   0.003815         10        640: 100% 11/11 [01:46<00:00,  9.64s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.16it/s]\n","                   all          3         18      0.907      0.557      0.939      0.585\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      34/49         0G    0.04027    0.02285   0.003102         14        640: 100% 11/11 [01:45<00:00,  9.63s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.15s/it]\n","                   all          3         18      0.782      0.556      0.854      0.545\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      35/49         0G    0.04058    0.02568   0.004126         16        640: 100% 11/11 [01:43<00:00,  9.45s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.20it/s]\n","                   all          3         18      0.903      0.556      0.933       0.53\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      36/49         0G    0.04161    0.02103   0.004713          6        640: 100% 11/11 [01:46<00:00,  9.68s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.20it/s]\n","                   all          3         18      0.904      0.556      0.909       0.61\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      37/49         0G    0.03304    0.02073   0.002701          4        640: 100% 11/11 [01:49<00:00,  9.97s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.904      0.556      0.909      0.578\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      38/49         0G     0.0353    0.02187   0.002662         18        640: 100% 11/11 [01:44<00:00,  9.46s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.05s/it]\n","                   all          3         18      0.853      0.556      0.933      0.586\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      39/49         0G    0.03493    0.02058   0.002509          9        640: 100% 11/11 [01:44<00:00,  9.48s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.20it/s]\n","                   all          3         18      0.972       0.63      0.984      0.554\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      40/49         0G    0.03478    0.02254   0.004847         12        640: 100% 11/11 [01:45<00:00,  9.61s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.43s/it]\n","                   all          3         18      0.911      0.556      0.743      0.505\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      41/49         0G    0.03686    0.02412   0.002886         11        640: 100% 11/11 [01:44<00:00,  9.49s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.17it/s]\n","                   all          3         18      0.982       0.63      0.781      0.514\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      42/49         0G    0.03725    0.02447   0.002186         12        640: 100% 11/11 [01:45<00:00,  9.59s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.15it/s]\n","                   all          3         18      0.984       0.63      0.785      0.507\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      43/49         0G    0.03088    0.02001   0.002432          8        640: 100% 11/11 [01:44<00:00,  9.50s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.986       0.63      0.747      0.503\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      44/49         0G     0.0338    0.02182    0.00305         11        640: 100% 11/11 [01:46<00:00,  9.68s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.18it/s]\n","                   all          3         18      0.909      0.556      0.752      0.516\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      45/49         0G    0.03178    0.01738   0.003251          7        640: 100% 11/11 [01:47<00:00,  9.75s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.985       0.63      0.726      0.457\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      46/49         0G    0.03298    0.02024   0.002848          9        640: 100% 11/11 [01:48<00:00,  9.83s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.13it/s]\n","                   all          3         18      0.983       0.63      0.726      0.476\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      47/49         0G    0.02978    0.01998   0.002461         12        640: 100% 11/11 [01:44<00:00,  9.52s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.953      0.556      0.682      0.469\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      48/49         0G    0.03114    0.01661   0.003672          5        640: 100% 11/11 [01:45<00:00,  9.63s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:00<00:00,  1.19it/s]\n","                   all          3         18      0.953      0.556      0.661       0.46\n","\n","      Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size\n","      49/49         0G    0.03267    0.02352   0.002803          9        640: 100% 11/11 [01:45<00:00,  9.57s/it]\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.15s/it]\n","                   all          3         18      0.982       0.63      0.785      0.482\n","\n","50 epochs completed in 1.519 hours.\n","Optimizer stripped from runs/train/Model2/weights/last.pt, 14.4MB\n","Optimizer stripped from runs/train/Model2/weights/best.pt, 14.4MB\n","\n","Validating runs/train/Model2/weights/best.pt...\n","Fusing layers... \n","YOLOv5s summary: 157 layers, 7018216 parameters, 0 gradients, 15.8 GFLOPs\n","                 Class     Images  Instances          P          R      mAP50   mAP50-95: 100% 1/1 [00:01<00:00,  1.25s/it]\n","                   all          3         18      0.904      0.556      0.909       0.61\n","                person          3          9      0.738      0.667      0.738      0.612\n","                   car          3          7      0.973          1      0.995       0.62\n","                   bus          3          2          1          0      0.995      0.597\n","Results saved to \u001b[1mruns/train/Model2\u001b[0m\n"]}]},{"cell_type":"code","source":["!python export.py --weights runs/train/Model2/weights/best.pt --include torchscript onnx"],"metadata":{"id":"ouxOjV3cJqIC","executionInfo":{"status":"ok","timestamp":1688813282426,"user_tz":-330,"elapsed":15133,"user":{"displayName":"Aditya Saxena","userId":"14470010596090331838"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"30a8303a-8af8-4278-9d85-f10d4a4ecc31"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["\u001b[34m\u001b[1mexport: \u001b[0mdata=data/coco128.yaml, weights=['runs/train/Model2/weights/best.pt'], imgsz=[640, 640], batch_size=1, device=cpu, half=False, inplace=False, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, verbose=False, workspace=4, nms=False, agnostic_nms=False, topk_per_class=100, topk_all=100, iou_thres=0.45, conf_thres=0.25, include=['torchscript', 'onnx']\n","YOLOv5 🚀 v7.0-193-g485da42 Python-3.10.12 torch-2.0.1+cu118 CPU\n","\n","Fusing layers... \n","YOLOv5s summary: 157 layers, 7018216 parameters, 0 gradients, 15.8 GFLOPs\n","\n","\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from runs/train/Model2/weights/best.pt with output shape (1, 25200, 8) (13.7 MB)\n","\n","\u001b[34m\u001b[1mTorchScript:\u001b[0m starting export with torch 2.0.1+cu118...\n","\u001b[34m\u001b[1mTorchScript:\u001b[0m export success ✅ 3.2s, saved as runs/train/Model2/weights/best.torchscript (27.2 MB)\n","\n","\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.14.0...\n","============= Diagnostic Run torch.onnx.export version 2.0.1+cu118 =============\n","verbose: False, log level: Level.ERROR\n","======================= 0 NONE 0 NOTE 0 WARNING 0 ERROR ========================\n","\n","\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 1.3s, saved as runs/train/Model2/weights/best.onnx (27.2 MB)\n","\n","Export complete (6.3s)\n","Results saved to \u001b[1m/content/drive/MyDrive/yolov5/runs/train/Model2/weights\u001b[0m\n","Detect:          python detect.py --weights runs/train/Model2/weights/best.onnx \n","Validate:        python val.py --weights runs/train/Model2/weights/best.onnx \n","PyTorch Hub:     model = torch.hub.load('ultralytics/yolov5', 'custom', 'runs/train/Model2/weights/best.onnx')  \n","Visualize:       https://netron.app\n"]}]}]}
\ No newline at end of file
diff --git a/machine-learning/week3/Car detection using Haar Cascades.ipynb b/machine-learning/week3/Car detection using Haar Cascades.ipynb
new file mode 100644
index 000000000..42dbe30c8
--- /dev/null
+++ b/machine-learning/week3/Car detection using Haar Cascades.ipynb	
@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3b2db876",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<>:17: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
+      "<>:17: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
+      "C:\\Users\\adity\\AppData\\Local\\Temp\\ipykernel_37336\\590239235.py:17: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
+      "  if cars is ():\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import cv2\n",
+    "\n",
+    "# We point OpenCV's CascadeClassifier function to where our \n",
+    "# classifier (XML file format) is stored\n",
+    "car_classifier = cv2.CascadeClassifier('Haarcascades/haarcascade_car.xml')\n",
+    "\n",
+    "# Load our image then convert it to grayscale\n",
+    "image = cv2.imread('lambo1.jpg')\n",
+    "gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
+    "\n",
+    "# Our classifier returns the ROI of the detected car as a tuple\n",
+    "# It stores the top left coordinate and the bottom right coordiantes\n",
+    "cars = car_classifier.detectMultiScale(gray, 1.4, 2)\n",
+    "\n",
+    "# When no cars detected, car_classifier returns and empty tuple\n",
+    "if cars is ():\n",
+    "    print(\"No cars found\")\n",
+    "\n",
+    "# We iterate through our faces array and draw a rectangle\n",
+    "# over each car in cars\n",
+    "for (x,y,w,h) in cars:\n",
+    "    cv2.rectangle(image, (x,y), (x+w,y+h), (0,255,0), 2)\n",
+    "    cv2.imshow('Car Detection', image)\n",
+    "    cv2.waitKey(0)\n",
+    "    \n",
+    "cv2.destroyAllWindows()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "00a3561f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine-learning/week3/Histogram equalization and Median filtration (Bonus Task).ipynb b/machine-learning/week3/Histogram equalization and Median filtration (Bonus Task).ipynb
new file mode 100644
index 000000000..41128599a
--- /dev/null
+++ b/machine-learning/week3/Histogram equalization and Median filtration (Bonus Task).ipynb	
@@ -0,0 +1,214 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c6d9cfc5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import cv2\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "aae7791f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_image(image_1, image_2,title_1=\"Orignal\", title_2=\"New Image\"):\n",
+    "    plt.figure(figsize=(10,10))\n",
+    "    plt.subplot(1, 2, 1)\n",
+    "    plt.imshow(image_1,cmap=\"gray\")\n",
+    "    plt.title(title_1)\n",
+    "    plt.subplot(1, 2, 2)\n",
+    "    plt.imshow(image_2,cmap=\"gray\")\n",
+    "    plt.title(title_2)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "29b1ca7d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_hist(old_image, new_image,title_old=\"Orignal\", title_new=\"New Image\"):\n",
+    "    intensity_values=np.array([x for x in range(256)])\n",
+    "    plt.subplot(1, 2, 1)\n",
+    "    plt.bar(intensity_values, cv2.calcHist([old_image],[0],None,[256],[0,256])[:,0],width = 5)\n",
+    "    plt.title(title_old)\n",
+    "    plt.xlabel('intensity')\n",
+    "    plt.subplot(1, 2, 2)\n",
+    "    plt.bar(intensity_values, cv2.calcHist([new_image],[0],None,[256],[0,256])[:,0],width = 5)\n",
+    "    plt.title(title_new)\n",
+    "    plt.xlabel('intensity')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "d1942919",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "zelda = cv2.imread(\"lambo1.jpg\",cv2.IMREAD_GRAYSCALE)\n",
+    "new_image = cv2.equalizeHist(zelda)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "1f16a518",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "zelda = cv2.imread(\"lambo.jpg\",cv2.IMREAD_GRAYSCALE)\n",
+    "new_image = cv2.equalizeHist(zelda)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "b3378deb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_image(zelda,new_image,\"Orignal\",\"Histogram Equalization\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "a9c24cd1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,5))\n",
+    "plot_hist(zelda, new_image,\"Orignal\",\"Histogram Equalization\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "94f1150f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x24014aa9ed0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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jbhvIMzMzMT8/H+12OxYXF6PdbpfIMGtvb2+v4DT6m9eCU2YZGwAXPMUYM91xkDA3zPPKyko8fPgwHjx4EJubm7GyshKdTueNNZp5Jevr/Bv5AM/Ozs7G8vJyrK+vx8bGRuGDTqdT+MvYwHVn48efe+4sbxxJQ1afnp7GYDCIfr8fh4eHMRwOo9vtxvr6eiwvL0en0ylOnVr0u2Y4gw+NA+w8zM9mOUU/kaHgjoiYcJIz36PRKFZXV+PevXsT/e31evHhhx/G3t5ezM/Px9nZ2a2ys1Z+YcbPf/qf/qexs7MT/9V/9V/Fq1ev4vvf/37863/9r984BOG2cnV1NQH+j46OSr5ls9ksCh0FzoQCxE0sT6YtRzMXws6AYDweF2Dq9wBlo9GoKF1A5Wg0KnXBrBkk8TnA2+OqGR78hrHyQoFWs7OzcXV1Fd1udyIUDQCiX4wbJsVbBU0A3jnlg7oARpeXl3F6elr6j9fD/UbgAtJZjNCFZyxsDTSzF5F5Zgw2SJlLG16Z9u+aYudiPjItbGhmQZ3n2wrFQr8mhBwWzv3JQMa/M+/Dn8wzTgPn4tsw8FwQ+fHaqtEk4mbvx9nZ2USONGM3oGfurYztLTZIwcCHH51yZW9gnlvGlr2ctDHN4GWMNYPWntBagX41fq29Ow3sZpAGP5um+X3+dxusVYOc7AF0ZMj7Fu3tW1xcLHOER4/vLFdOTk7K545gAgJpy8YP68kKl32LyFOM9pOTkwnAjBMIXYCMsfFrhxeOBugEfyE/3RfWyXg8Lv3P82SDxnPgOc+ALxvVfifPp/mvBsiybsl9yu8bXPO59Q9rB5Byfn5e5Al6g7qmeV+tq6BrxHU2yNraWmxsbBTw2m63Y2VlJVZXVyf0KfPOnCAj5ufni57e29srxjbGBSWv2RroroFhYwHPKZkb1AnuQKYcHR1Fv9+fiNRmx5FlLGOtOaCmZSEYE/Bszdlr54pl4DR5SKnJJ0fTMHgNeHFoIgfOz89L5Mpr0DTOjqEchbaji73VEVGMSubcxhPjztk/xnt2fGb61dZezRAB65A9YZ3aarWKPELO1NY69bmNmiFEm8ZI2amOHCXqzpq0o8z4wLwBlsyYxHQjCGBslo3FLPtYH/QPWnmOLZMxZtEx6Pp+v1/qPT8/L45ADKl3Kb/QAw9++7d/+yulueXCopqdnY2XL1/GgwcPYjAYTISeI26s1YhrxsNrwmRiNfZ6vYkFazDgCBE/eKC73W7xRDglg4VL+pkBK4zpH4wOe1AQ8hQ8H84ljYgieM7Ozsq45ufnS5h1eXk5NjY2igdmeXm5jBngcHh4GMfHx3F6ejrBwNm4s/GDQKa/0Jvn+B8gC/Mi4BH+9sBlAUQYnboQXhaeGHV54dlrNC36Z+BuoGFvac2goD8YpbW2oZ/3e9UMC4/bgi4LxxxtuA2A23Ayzf1+7jP8B98aHPjviLg12gDwqgGtiKiCMitv85KjWHzm72gn5y/bs2bF6rFm2lJ3jmRZluT5zyUrqlysVD0uA++aAnFf7ASxh9RjqIEn1nJEFHnjNTKtv7ybx2Uj2uCR9B5kBvR02p3rNPgAeGVgz9+5j9ACfsxGYA3QYtxETO67gC5Ev2dmZkqqBc/bMeNIlvtSMy6m9d/Pml/zmGvv5rpznUToat9NA3iMO4NyCvxmfQeNeccRAmhs0OZ2Wq1WrK6uxqNHj+LRo0clVRFPuvWOaer/4TkcIAsLCwWUvYtzKNdn2uT3nZ2RjcXxeBzdbrfopZocAotgOGZnGzTJfc3PWp/5d42fstGd5x15zdprNBplfpkDe/gBm94/A008BvfRIN26Gp2YZQPvREziHtadvf20g3FJfU6J7vf7E5FEy9DaXFu25WLeznXwWV777GWrGal5LXq91EqW99mplZ2mNhKnZUIxJuOHzCOmkaMzrivrkSwDMr6ppe6ztvjJRmpEFJ6cn58vjtWvUt6L095uK/Pz83F5eRlffvllUezZ222g1W63izFij/Hl5WX0er0Jr4IPUXCaG8oRg4cFxf8G9AB1g1AEBlY5n+cNgLU0GIN/mJW6LextHFmBsSg4oSfiRtnXlKsBgXOam81mUQL2OsPMBsUWiIyJ9m3wsKmNiFcGo4uLi0V5sMkWr6uNRafpeQz+LAtr5paFBw0vLi5KvrIBU54Tgw0Kc8lckKbI3NsTnQUE/fI+Kxs5Bq02UvneBqg93BTzpo2LbFCZZsw19SJEHcbPQjgbZvYw+R0bjyiODEqzV4j+ww/wDDTJoIR2rXj9fDaCM0BAEdrgyOtlmgHhOu3VpD+ZXzJ9Mk3t+bNRa56oKU6/z/P8nxVcNoojoqwteMDribptjPEda5f1ymEZuR7Wfs0oYl1kI4+SDdvMRxExITvb7XYsLS2VHPiFhYXo9XolT/7g4KC8R745pwwdHx/H8fHxG/scbaBmcOH5N81rgMvv+HMbOl4LNePKTrTb0tBq7WaAjLPPxkhElOhP3muSnQSeF4NxaNFut8ueiK2trVhfX49WqxWDwSCurq5KxoDph/eZfS/9fj+Ojo7K3hPvy4EO0C0DTtb2NCeWn8sGiOU1+icbPHw3rZiu1kGWJTmaZp7LOMGOERtN2fiwE9E/2WmG7sJbT5t2PpqfM/1cF/zIj9Om0Sl2ItgQyEY8TlX6AxazE4X9zrOzs9HpdKLb7U6k4XtdmjfzHGfDjN84SsiOYS6tv7Ku8Oc1WZHlasR0xwnf+R2vk4hrOWr+8vdZbt6mw3D8uG3+zs4TG1PmP378HfOQeZzPkTOsXYIHNePrXct7b/zAaIPBII6OjmI0Gk1EdmB8wJLzaj0REfEGgyLUfLKLlQ7Az5u3accpO6TJsejNXAb6LHTGZEBhAUI71A8T5xC6F8bV1VVJX0PgmPlJF8iGB9+h/AxwDIrsLcAD4yiY5wt6GExigPIuz1E/KTPQ3eDXY81/87yNhKzgakCAYoPagg1hk0GFgTF18j6pHKQckpvb7/fLplXaQ0FFvKn0XGpjzZ/bUIEf3Dfay4DfwtCg2v3h3WmgLisRC0QXG7k5BSHPC0CG7ww+3FYN/Gc6MTdEFqnLACnTokZ3CvNfK3lOaC+DxFqxvLBTw3ztdm8bO/XZ8M0KrwamXW8G4llZuk927Bh4mSasd4MxQJt52sDIUQfLsvxjA91eTwOeVqtV9sLhGWavUkSUaAKbtxkLKaM10ETxGvL/NaD9tjmrgS/X4WcMqmpGegY/PJedLa4nOwcMsP09f2ea5L7DT5eXl3FwcFCA9tnZWUlvhNZ49UlFZF7QBQZ9BlcRMbFOanTjcztBvPYtC7LBWBtfTcZ57Ham5H7YQKvxU9Z1b1vrNcPHay3LAQNKG2IG0jlt1PIUfY6TwwYYc+W0Ohsg8JT1FfrWesqZJ55LR43R+95XRH302VimthazfM6GSnZe8Ixl0m1lmuGTdYX5wX1krNlZ4TGYPre17981eZZlgHnC7eT6a1EoO1Nq6xG+Nr/kVEy/M81Yu62898ZPxCQTs/D43LnC9oAhULPVCxCyN8OpDWyqtYeT+hAG/X5/wps7MzNTTjmCUS2Q3Gcr5Sxksd7pSz68wPm6DiFTx8zMTHQ6nZifn49ut1sYfDi8PoUlGzWmG6clMZ5m8zrMyN82LLPHyULTaTcGXd1ut+wPmJ2dLQKKY87ZKEidFxcXMRgMCg9kT7IVImDGSsKgHfp4vhDuFsKMwYqU9vhdAxLuD3sPfBgFn9n4oU/Qn/rcng0Mg4ks/Gjb/adMA1woquwNazRuNnSanlko1Qrt3pbGRp88JhubTqXKxfV4vnNKgsdupc0YAdXuC38zH3mNRkR57zYQ6+hpXp+5rYg30x4zv1I8T7eVrMgtJ+ypjJiMkGUecOFz5Jg9ndCI04cwNJzG4HXjiHlETHj7LBut8O0ttuzKf/v/bDQiW8xbyDKAFoeEoITZY2Qa5PmsyYqafJ825zZCMsi1DsvtWj/V+DEb/26PemrAh78NgGgHPZDBZO43/MUzNubRRYeHhzEeX+8nQ0fNzMwU/YuMJnruUwWJ+NiJYa83tJsmE0yX24BuDRxOM2hy/TUjyQZsrf5aPS63tWnjoWbsMGb/jzPV8s7OCzvo3IfsLMvf136b7tbL1OcsBQo87rsLDZLRF3yOIZT3qHje/FmmaV4T/txyJtdbmzPz1rT16fVjeVczTPLzuY+5ZHmRSzakaqVmtLk/NshqddVo5mezQy6iLgPfZvxPK++98ePFmj0+jliYiPZ22+sAyMf7hNeCiMnl5WUcHh4WpecFF3EDAH2YAXVZEOR0t4jJsLcVYwZYFhr0if57I27EDajm75OTk6JQ8GQCxgAQCDwbkJ1OJ2ZnZ2MwGJT6iBRF3HiCyAH2mOhro9Eox5l2u92Sfsj3p6ensb+/XzayHR0dxdnZWayursbS0lJ0Op3y7sXFRTkxZm9vL3q93sRxiZl+zhW2EDeYs6eBelqt69N6yCllXKRFegM44zCIZI4c4qdtDB2OnuTMevaDUR/156hJBls5YmLlbWBiL7X5lfE4p9tt+R4P+GZ9fb0coz4cXp/s5RQGz4cBUxbcmW7mGXgXZYYzIqfqUWrKxsZPVhB5fUVMGov8n0seUzZIa4W28iWH0wBqTXE4+mme9JxPG5fHkuVINnahm9eH149pSXv51D94nefZ7EwdOc00jzWPKdMk0+ptXlb65TRBO7xIYYbfOSHJ6TrZuZMjv6bLtAig+a9msH4VZT4NJNwGnGmD/tdAU5Y1dobxk41Mt828Umws8duecZ4la8NOLp7zHpl+v1/a4PQ0842NaRfPe81wyTSq8V52mPBZdhTldt8lCnCbsTNNzjFmt2sclPtr/ZTfc31gp5qzKcs99MttYNaA23ohyxgbLzaKIm4cTDhUWIc4EhuNxsT6dltZ5tFvP1ubN3+X53Cacef3awZTBv63ldtkHr8Z37s4IWslG6Gul++zseXDKvy5f7vu/DvLObdXc3jxrvk39/c2mZfLe2/8WEhboWThxucRN8ftZU8G7xnU+nADFpbbJdoyrW8I6AxK7PWMmFw0BmY1oJ7HglfEx9VCEwNF95NDGsbjmxPiLBwRKOPxuBzqsLy8XATT6elpHB0dFaMDWmVvD8qq0bg5HOLevXuxvr5ecugjrgHu7u5u7O3tlYjO1dXVxDGzHB05HA4nIiecqGIaAVLy4gGQGMxPmzuOVr1//36hV7PZLPsBMNAwKmnLnnO8yW7fJ64x194Dxd4nFLr7b56i/gxocyQFZQAvEB10Hj3Gft6DZOXk/UfMUT4O1UCayxCdX50FPu85tM36YNwY1AZU8GEOhTsdzIZvo9GYiErYGKoZP8gA6JVTR7JCsre7pqy8/t22+Y3PTPtpio/nail6t5Xs5c99cV1uy8rGRnZebzWQiyxZWlqauCbA47S8rgG7dwGPPPc2GlBXzdMLv7F53nIepwRrE55welamQ6a7QVSO/ORnszHyLmPJz2caT6vDcsXvudwGWlyyx3caz7se9Al7sObm5soR6N5Ty5z4PjwyEHDEmEdr/UfuZidZXnv0MQM5r3G/5yhcjX6ZLrm+bIRanvBd7qfryJ9ZJtTki9urOZJMG/+uFRsGHqON5RpNzJfZeLSBQv08Y10D9uBvH0hhZ0deC55DjyP3r/Z37f8M7qfVOe39r1oyrzKud3ECmQZZ3t82Zj6b9h68lh320wz3bMSAPRkHWAAnCOuRfX3T9O27lPfe+MmACkVrb1HEZI6zwRXf2YrlnHsDOtpgEmx0ESnx5GQG5NK9hYWFcrqaw7nUmQE5ddLWbRMNaMNAAxgxJgoGD6luBpEGGh4jR9jSzng8Lukr4/F4wujJxiifUWBmcrcthADLgFYMJiJFNmYWFxdLGh99s9KzMM5Ag3nLwMH0Jpqxu7sbFxcX5d4Qjl0ksoaBh4D2eGzMcBIf/XF6HYDKoD7nsXs+anTNitqfR9wctuGIWzYCbIzbwLbRwJro9XolCmpvMPTzyX5OTXLaS54PBBrrzKmUFKfc0WZO//EazAKSU3dMQwtuHBr5aGSvdxsAbnea8WL+Qz7lE/gMEDJ4sZwBDEbcGP5Ep/MFtVnxehw1z53fqYEpf56VGGPxGoi4XpM+DtjpZaxz+sbfuQ7P621lGsCqATLLKeQba973XjUajcLnrMvBYFB0BHKMNT3NeDNIyWOpgYPbnmccWf9l3rO8rD2X14bl4TRezqmz0+YhG3z0mTIzM1P01Wh0fXT+zs5OjEajidvb0TODwWBi3ZydnZULazPIrp2kNm2cuV81OuexYWBBl+w4rL1nkF8DiZnmWdbX+uD/Pc4813xv55QNHstf3qkZM6ZJ5t/stM0G9zTQO82oyIYb/c5px+AZ9Hl2Kps3soy13qs5HW4r08C3jdGasVn7+13ryO8aF0CzmkM907VmvFi/14rlUJYtNUwyrf/T6AgWdPs4H3FycAKhjaGft7z3xo9BRRY6NYMhAzpv2rPwQuDyDsKBBZQ/y4vf/XDbRDDG4+v7IQ4ODqLf7xcwkt8zMDJT2xOdhRjfG+BnxrXysvAAfJNWYCF4cnLyxhGc9oT7O4wjRyayx9i0NPA12MSwwiDyaWo21qgfAGZeIFRuAy/zT+YTA+Rer1fS8kxLnxxVKzXFxl0ApNNQD4vc95kgkPnJAsTzzTyZB83rzeb14R9LS0uxsLAwIehOTk6KcJmmkGpg1crV3nxHS7IhXzt1CoVVA2n2AkFT5jLzee4T9VA3BjKlJszz5xbeGRzQn2lCuAYQMYIx5B3VqskRKwPmCnplIyqvh5oBYX63/LLCsaypASlHvmycGVgY/Dj1l7VNmqVP7OH9aYaPDey3KdM8x8yhI4z0098jh70Wadvy0YfLGNTa+Mk8YQeA+SPzkufBfZwGlO1oyiDeP7muPGaXLANyOjFyORtHNbA7DcRnoIazEmPI8tpzHzF5KTZrhwMqvOZ5pybT8rqtAULPT03OZ17zms8Okjz2/Dfvw0eZx61rPYaaseDPa0Ca52pt1Awpz2EGz+a/abQ0f9g4cr9z/RmruG/mh4z7LHdq85Tp7/+Nd6hzmsOlRg9/l3Fl7fO8Ztxf/9T4dBpfUWdNDt7mPJqGY/iuhj/e5b3a2GqfWba7PXRUdjb74JOfp7z3xo+VmPepAB4tHH3RJcULyguZBVoTxGZIFCInlblee8hIjzo8PJzwTrBnJ+JNTyvt5k24o9HNRZM57Sgv3Gwcwlw2MIjEwGT87wWdF62jJvydgY9vnp+bm4tOp1Msd9Mmp1lZyNNvjAwMGUe3KI6+5OLFxDM15Qcfzc/Px+Li4kTaFm3YQJnmWYyYPBUnG00GkaZt9lzVlIp5pAYW7fH0/gSiBk7/Yr5ZGwaijiIYnObxGHy73ZwGl+dhmmDMYDsrcd6tKY5MLwM/t+G1YuXr+n1iYRbIBiisdeqFX23Yue1poNh9hoY1I9TR4vxMVorm9aurq4nDHKjPbULDrKCzcncbWWZmgIPRdnp6OpHS6VM0cx+y4jYIvs3wyaUG0vw+6501YfmB/HcEk2PvMV5vAxN5XPkY35oz4LZ6pil65GWNLpmXsvGTZX7e6+Y1QoH/cqonzsQsa93v7ACjfnhhaWkpNjc34969eyX9DWdNq3V92SFOqeXl5VhdXY3j4+M4Ojoqxg+6NoPTTLNMp5qsqJVstLkOeDW3OQ0gIoMtT22swbc1mTnN0LScnFby+sprz3Pv9Z3l7m3t1IwY0znvxaEtf8e828AB9zjSk2VzPikwr0VjC8tQGxYY+KYtz9ymw2zk0WZtHeX5yO24ZKyS+zrNCHL9/tw/nsvMX9aNmZ9r/TXtavxvOVTb9sH8O+XRegbsNRrdXDtSW9/vUt5r4wdCO92Cz1k0NQbITJy9xhE3iyynhtiqzsrEAiPv6fCi504hL+ysCO2hrHnd7cX06SUWNE5VMlMaMFtpZs+KGdNgiGccNcsCptlslpPaMIJIUaN+v5PboB7XDd1h/Lxx2Wk/VsTeyFzz1CHkqI/jVPMFbgBiG06Ah6w83E4N4CBMsmJwCh312+h2n6mXsdkTbb6eZjTAoxzBbYUAYOUm5ppn2KCe+fD3rB0DLfrjMWUvdI2OFr41I8PFghfj02PPPD6tj/m+KPiM9xzpZE4Ix9sQt5E0jQ9qSse0dPogz0TEhAHuNc0aqRlaNo7NDzUPrufAcgMaQ7esnLMzg1u9T05Oyv5Cy+ia7PXaYKwGtLlk0JDBWqPRiPn5+bi6uipHy7seGz++HJH2DMZw6lj+1Nr2vEMrj938WwM4vOfvoT2GLLIjR4vze9SFbqAeotDU4X2udmxZ37lOr6/svOBv1ms2jLIRDajN4Js9uk6hJZWc8Z6cnETEdYZCr9ebcEzV9HWNf24DtW8r+d2sc23MZDBsY/K2UjPOsvHAZxn7uK3s4JjGdzXHBP2urR23Z17N/bSMq+mnvG6M6SKipNDaCWmcYF3qLB7TwnKBtv3bY81jM02mGRS1vy0vspx3e7X2PQde28Z0dmbV3qsZMLm9nLFg/eDx3DYG0yljTtPDz1qneAzT6DKtvXct77XxYyZGIBog5snx4q9Zs5l4GZxRDBK90LKxxd/2LiwsLJQTyww4sqLKeZf2urt+TpajvzaOEAhO3XCfsrL1Yp0WMp6WZlQr9sB4kz959aPRaCI3O0fWhsNh9Hq9aDQasb+/H4eHh9HpdAqYIl2r5mlzFAJQgDDnt1PopnlnGo1GUbwW1rct0MxHGbjbu2HlYMEI0JsWWbLwWVhYKPMMoMqpSZ5H8y9rxyDchqLz60mLoy7y9Q0s7NHxRbq1tVUDy56/297J0VDoXCvTAE1W6DVlXQMGdkbwHGvfPJX7bTplBW/jPhfTtsajLr4fZXZ2dmIN4N33huCa8qM/8EQ25mk///hdA91ms1lO8GJzOvIJ0Oc63YbnhT4ApE03nrf8MG15HuPPgCiDU+rKgM6OmmyY13gpF3/m5y1vkQvT8u79DgfMWP/RF8te+pyjfOgdy6SFhYUJAwgHQ9aBnp+874iS9XOeGzt6GP/R0VHMz8/HxsZGuVfJvAhPz8zMxMnJSQyH1xedjsfj4mzL6YT+fZuB7t+1cebn83zUnr+NR3KpyR7Ty/NLeRuf5fozHeCL2vzeNh7LsprDyjxjR5X5zT/GbYyBtnCisY5xptoR6W0Alnk5DTE7hKeNtTbntWfN4zX5NU2mu9QwAH+bDsYWpntuP2PVTM9phlnuU67Hzpfad7TjOvxZnu+MR97FEKx9/lWNHsp7bfxE3AzcQCRiUkDVFGpeyHzHAsueAr43kxqsZuaDoTnO2AvU+1fG43E5apiF6745TaXGoP7bBp2NpdxXg2OnJlGmeWUoGST6Pb7PdANwIAxGo9EbQjcbVNz7w34UR3v4IQ3Nc+e66E9WGjm1zCDKgMFC1fU5qpFpa2Br4e/6/HyNfjW6QxvPT6vViuXl5YiIkg87Ho/j+Pi47NvynGZBYweB58HeafiIdeF+ef6sCKalC7jU8to9rlzcjr3mAFp7oPPG/9tAPuOolZrxRjukPpm33O/s6c404B1Hid6lP5n+/hvaP3nyJL72ta9FRESn04mrq+t9fK9fv47BYBDHx8dxeHhYQGh2wPA7G0A1mZPpYx4FhHvNeO1CO69fpwFOo50LctbOBCtkf28PMUZg3gvo93yRIv0xrXj+q/JXft9zT8kGkOUFdLMcNrjgu4WFhSqwYqzMfR4XstanL/I9NLQBmr3FtDFtzjy+mZmZcnonEederxftdrs4yCJurmvgFEzS23q9XjmxlENl6Fct+uPxWzZ5TLl4HBlXIANqRpcNl0x/y2DX9y7vZ7mSS432NnqmOT5zsWyb9nemk5291oG1uq3r4KNspDptutlslsNJLCdyez6Iqeb8yLqwNv5pNPY83cbftTIN4E+b21qfaNv8ZhzyNrybx1zjzVzyZ8yX5WwNJ2f9xFxmo65WLI8y9p6Gj75Kee+Nn4ibkDEC314mihXMNKavMQR/v83C9x6WPMkYOqPRaOJOAlIn2Fx7fn4+cY+O24y4WWw2rryws9ColRqT5/fcjj0pNQCU34m4ibTkO18yqCAygJHD6UoYgngGyUX3viqDTCs7KzEvHo+xJoy9iG9T5rybAZDrmOaNM5D0XJh2NQE2rS4fmoDSYO+O9yXVSjbODP6ycWqD3Hu97LHPdWN0879p5HHk8i7jdx/zWo2ICa/+NAOz1ofad7X1kiNcfIYcgE9vU2LQ0uO1J7zGI9P4KjsZ1tfX4/vf/35861vfin6/H+12OzqdTkREOab9yy+/jD/+4z+OFy9eTNAuK8Lch1rJRkNtvKPRqKRR8nw2fJy+V4t08Xxtn1NObaml09XG44MNHNW2DDw/Py+pbnxvx800Xr3NkDVfOlJjmtbAr/kAfjEA9HxcXV0fLJGdWbk/fG8Z6zRLgE5Oc3b/po3d/clgMq+ndrsdGxsbsby8HEtLS+VEQ/OLL95kzs7Pz6Pf78fp6WmJBuV1mee99pv+ZR2byzSHzTR9moufrxkFtcjO2/S6nzddM/ityaMsI7NMqem5/BxtTDO4vPfTfck/WR67/mxUoWNwgFleWL+Zfh4P79Z4pDaeabin5vyYpvMYV5Zft+m9afKlxofmYX5q8zcNA9fGbhpmvsiy0HrXc1/TIeaFTDvenWbUTRvPVzGIfimMn0bj5vhYBLeBGooRcGBvccR0Yej68+/MvD5CGOHszaR5k7+VbT5MgT6YCfydIyReyFkQ1RjB+0ki6gLM7QCgb1Py1MNvC0fATqPRKF472mHsKC1u6D49PY3BYDARtXK/bJhkg9bK2X2zsZgVDoKzBvqyIsoKLiuaLMhq+3AM5Py8vWmM14AOrziRRIP/HEn0SVW1UH82frLy87znfSWUvNckl7cZye+q0Gt1wMfsJbFBxtqr9anmYacYjNYMWRvPvnh1PB5POF9q48qGYg0o1YzqHEGr1Z+Nnw8++CBWV1djf39/wktOWVlZKXfuHB8fx/Hx8QTIzvSapiCnFfqZjZiFhYXSTj7sAF7OcpVn8txkmczamNZv5srRZztJ2NvmI/3H43GJnrIeAOTZaMpt2lihrjy2bMRZRlHQYfldP2sD0bIxA5IMLN0/18/8eA8RNOZd66eaHLA+sAx0+3xv52K32y38iZzLfYO3xuNx2feDzLKRxs+7RE1q4Kv2fTaO6BM8lutymQbM8hxMW98881XkZpYzWfdlfFEzCGvFeiqDT9qxE5F5yWMxL1uuW2dmA8MRH2hxenpa2rO+Qzdy/1O73S6pkW8zWtzPaXRlbF53NSNzmrExTbaaLrW2a8ZEpqv7N63cZlDkNjPmYL44uZMfO0bhN++frBm9t/Ul0xfHxzSavWv5pTJ+SIXB2EEhAgqzx9aRmrfVn4sXJUe5otz5nntC5ufny/0wPMM9EZxOE3GzcT0iJpjLTEfdzmvNxUo9W9A1hsnj8vgcPciK1u96vxMCypuFI6JEdKjLxs9gMIijo6M4PT0t0R9HNlxP9uJAqyzM7P2juP8IEffdCzGPMW+8zoZDBiHUnTdGwzMGBDUPH+/bc9Zut2NzczO2trai2+0WQT4/Px8XFxext7cXh4eHE/fAmO+tHGwIegz2xlg40e88Xuj2NkHtOXSpechvM1BsxFqhww9Op6oBUvet1q/afiMbPjbcI6LwqVNUPb+mvfnKfMEa5Rh0/s9gZVpajsvR0VF89tlnMTc3F0+ePIn5+fmJ/RHU02q1otPpRK/Xm5AVOR3xNkVtAOh1GXGz5w+wYsMdIx061kCq66Y+FwOczFdZpucULcYxOzsbKysrsbW1Faurq2UvIm07pRaeYw1kWWl5kouNtExL5GzNIZXlkXVClm8eM0AzG8v00XtUMwCxUVPTkV5Ptch+DfjV5tH8gpyEj2ZnZ0vKHoca0O9ms1n0A/qeZ8/OzuLy8rJcwuxx5/GZHhlQZmO7Ntcemz/POis70Eyv7GCZ5kiC5tY7bp8+1ORmxhSWZX4m83Gt1PBDTb5jQNvRXNOtmT5u23OQ9RL72bJuBe/Zye170drtdqytrZV7A0232wyJ24xlyrR5rhk+0+j7tjbMr7c9k/m7hmWm7dWr1V+bY54j5ZTDbHyACnTgAKmas+s22sIfnueaI7HmsHhbee+Nn9oCirhJvbLi4vm31TWNOT0RBmELCwvFsIm4PolkNBoVS9gC21EhNv4fHR1FxM1eIEelGo2bU7OcfpbHYkareYu9ubkmsBBO0wBhxKSych9MZ9qHJvPz8wVkodBssOA5xZNqj7D3yXgRM1badYQjz5FpYyOJ8WTh6XHSdg7bGpgyhuwdpWTvrj/znGaPP4rdggZwPBgMot1ul1PaOp1OdDqdODo6ikbj2nsKEDg7O5voe54zG3DZsOX7HOGiv7neWqkJzVymOR+mfU6fsuJ3f6adIjbNqLrNSJtmCOQ55zk25eb9P6YdSiPz7uLiYkTERLqnecN9sVPE62JmZiaWl5djOLy5C4U1OTs7G5eXl/Hy5ct48eJFDAaDKgB5m0Mog0GKjX2Db57hpDdSrOwksbfeBXk5reS+U1dOZRsOhwU0Q5ujo6Pyjk84Y+2wwd51mEbZaeGDC/LYa0Aiy3WnkYxGowLazMvj8c3plOYp78/JqayeY4N9O6E4EINx5JMtPR9cB+CsBiIw1kOMJ4/Nhhvy9erqKo6Pj6PVakW/358YN2BtYWGhpB9yXDrRX0cbajo8z4c/v002TQOI9D8bJtaTWZZOM/Bz9L02duu1LJNrBpTlpHU2z2eH123YB57LzjC+y6A8yxD+Nl/WjEi3Z2cCfOiTWOfm5mJubm7i+HN4045vH+izsLAQq6urxfiZxit5nm/7zvN+GwjP639au17TlvGZxtRRa8/0yxgtf1YrtJvnx7I4O5spxrDe15f15G2lhk+zvnUkqbau31bee+PHSoJwWL/fL5dJnpycRLfbjYiYCH9G3B4+ZLFH3CjF7BF1GBcP+/LyciwsLBSvh+sAiBKZwou4sLAwkapkxWCvv9s3GMiAu2YQ8rdzxLOw4rMa0HLJG4Y9Fyg5PLxzc3MFoHuDMQr37Ows+v1+iYThybNA911GMLqFAgoBw8l0cD2cNGXDKN/PlEvmkSzU7WFiMebwfq6jpqg8L7X9XhE3h1/s7u7G7u5uNJvNoggAtefn56WdzEu5fwBwPDfwo4/O9n1PNkRrKTses43TmrL3Z04RzYIferBu3H/m3oCU+tynvB7elmfvvtYiPsyFo5O8b8XLd8gfZAKRYOptNq9TQkj7ZM1zUAHetAwcnVIAXRqNa6/ow4cPCz8wb3jDx+NxPHjwIM7Pz2NnZyd6vd7UOTFdpykY87ZPZoL2XHAK8BiPxxOprUS+rYyzceF1b0XabDZLqgXyw3IXeQawJ72WPSL7+/sREQVI0e9shFjuQm+MU9Iubexmx4sdMwa1/m1DOAMFy7IaEDcPuM18RLQL44JnXE+OWJv/DcRnZmbK3k1kj4ESbUAnIjPIEK/Fy8vLODg4iNPT0+h0OjEej2N5ebnIPaduYvgQ5UHn93q9CQN7WmEczCn9fhuQ5F3/7TlFVmUHV06Lgq9wAng8Tk1Hh+Lggg8MTt2m25g2hvxdNqz9O89lxJuy0jo4v4fuBvsgx6zjTHs7lcEYGDo+/Q/HH5gCJ0HN4e255nNkNuu5ppcyTqzpMYrllHWujZbsgPDYp2G4bOjkZ2xE3jav5vHctvvp8fgZ85r1gfsFP3uMOfvHfOT6TCfTN/ffB9t4nDVM+7by3hs/EW9OIIuNc/9heIwSJt+Lolan04QiJo9PphC1gOAc6cqzACQWNkoGBWLhZQWDkKilnbH5lgJjspjtjcRDZsFlAWHlxDs577aWxkE9BjmAOO8VMhixFxXP6vHxcfR6vZLuVmP+Wv6oDQgvvkwTf2Za8z+fMSaXLOyzcEfBkXpm4zR7iKkng+kscDymmrBDgfAunvscJaM9KwX/+DNoy1HWCChvIocvzLvmSysvwH/2hNWMJXh2Gu0dFchpZl6P5gGDTe//s2GdDelp9M7eTcZ0fn4+QQccK+fn50UpLy0txczMTHQ6nbh37160Wq0YDAbF+Dk5OYlmsxmrq6vRaDRKpLjX68X29nY5BATHDmPPxqC9a6PRKJ4+fRrf/va341vf+lZ59+rq+hStHBHIBs004yaDgtqcYvjZ2wrgBZAii/DWM8fwgdMxcrFBY0MJXuC+sywfPC6vd4NQHAF8bh1hHqgV2mNPUB4Dc1Vbgzbi5+fn35gXg4IshwwoAIrMby1d0k4lj93yyXtTPe8G6wbf7g91mLamkfti558NqZym3ul0Ym1tLWZnZ0tU6urqKlZWVmJhYSEGg0EsLCzE/Px87O/vT8g2+B6jhLmsOUEsyyjwWI6eZN0CzyMjDaZzMb/BsxjRBs6sE8tBHAimeTbKMgj0PDEv7woOc78ptbVJ2/QHGmDMYeQZ37guGyy874yadrtdIjzwqeUMc5mjSqwFO0aJEkbcrJ1siL1LMc9ng8DltnprcjUbJ5a32fkBj5h+lnV5fWfHBX9no6EWbYef8jiYK/qbnQ41XqV4PdJGHrv1s9vP6W+m4buUXwrjx5MKkSzsWSR492yAMMm874nIQiPiZnL9LIsJ73uzeR0Bmp+fn8iFJPLgiz4joggFKw4EBqDBTIygIYrlU9VsdFCIDmTBzTMWGBYkCPUMWgEZriN7hjCocr/xAHJHz/HxcfEAs08LgcU4s/eV5zwnNUNnmtDPgLcmdBgHv61Y+MwL0guRv+l3zRPiPtU8au5LFhz2ANuYspLO/bagzgKMucqeGKI+Bmi0kfdjeRw1WnpcFEBrbWN1Nso9fhtEfG6vuSNDETf87zlxyXOU5yKDPObXBhB97Ha70el0YnV1NdbX1wvQn5m5PoXt4cOHhZZ4qVkT5+fnsby8HIuLizE3Nxe9Xi/29/ej3+9PRJNOT08n0pMy/Y+OjuL/+D/+j/jiiy/i0aNHsbm5Gffu3YtOp1M2Bn/55ZfxySefxMHBwcQay/SozV/NSKQPNkKsZF0vud9EFmsyKRcbsRGT6TN2EmVwkMFVjho50pH5OXsY7TgxX9AHK+Vaypg9ztTntUIfqCenO3uNWHa7TwY1bsMgpzZXpp3bzPNrQEk/LOfzes1gxjS2Q6Lb7caDBw9iaWkplpaW4oMPPigGztzcXKytrU04AEiZPD8/j/n5+RiNRvH8+fN4+fJlvHr1quhODOysW/OYGIPpZychY8160vI+t+HUQes086idSdSBzICW4BY/57mx88vzlfucdSBlmoPK81gr0It+26CBPqar+0PdfqfVasXi4mIxeBYWFib27NgJBA7JeovftfRTvhsMBmUP9nA4LBhn2jizrnxbyU6VGl2znjYWyc+zjtA9xnGsa9qxjs4Gg9+7zQi24UzJddIWdYOrFxcXC552ijHyMevSTHevt/w/f2fd8lUMHpdfCuPHxo6VS0SURcQCYg8KjGSFYkFib0z2FPJ3xI3wd5oA3t5utxuXl5fR7XYL4Lf3wwukpvy4t8WCxV5/PCIIkaurqxJFscL1QQuj0eiNk4pgTgMBfvsS0myY2MI3YMLQtMDDQHM6IkZh9kTD4LmdmhBi7DWl4MLYa+kk3pxeeze3aV5x3VngIEC8YPNizwZSbQxZaNXStmqg0bSs1c2Pedp0QYFbaUfcKHmiqAjfaR77DDQibk4SzF5yzyd/1+rFMPdFnhExkdYKvW3cTzNystHr/vC9gQkpUhEx4Viw/Gk2m3H//v1ot9txfHwcr1+/LmBsa2srlpeXyzhXV1fj6uqqpO+srKzE2tparK6uxsHBQRwdHcXJyUmcnp6W1A/WMOuSNby0tBTb29vx7NmzIlNWV1djcXGx8M/5+XkcHh4WAw7DyuvQ/JYBm3kHHvdexaxch8Nh7OzsxNXVTUps9m5TbOxbeWcgSkqfj3Vnjbtt+ldbfznyb2MSpYqcpF0bCYzNazjrBLzTfG4aZT2Acci6QvZZ7rowB9nZYy/wtDUJnQxCbdhALwBVBkMGvtadph/zYgPb/eT/8/Pz2Nvbi6urq1hbW6sCYzs5Wq1WfPnll/H06dMYDAaFdrSLw8NHq9ub7TVr2Uyf8lgtRzOgzZkSGPXZOEKXZ12QPdiMxQA+ZxZ4HjNYrJXbwO40h0OtDhu0jq5H3KSeZbnhiB5r3gYojlzS47nziTk0HmI+qcM0sH4iFRPacIeUdfLbjI5MU48/f591NX2pgfuarnnbc17f1tk27vguR1OzXEJeZdxymwFcK8wxTgYbOUSD6AdXcNhAnYbZbpNbNp5um7N3Ke+98cPEmMij0fUeIEAKAJ5SU6T2DJjxnNZmQEuBobwwbITh5Ww0GhOnu/l4QAARfUNZstgRFAbVPMvYshKPiDL2iBujyQYWwNbHT7MgaCcDVhsdtUWC4sFjR/9YbCwQh/tt6Hgcec6y4uBzFyvfaaHbWh02OuGnXKYpidyHmjCrRYbMu7eV7NUyODGwyuP0WGpzlcGXhaNT0eB5p1rC637Gc1SLDLlkejC2DASyt9Nr1ak5KDPqysrQ32VwZx436HKxQeOTg1ijW1tbsbm5GRERh4eHhe/ZW0Le/ng8joODg/jpT38a7Xa7pOIuLi7G5uZmrK+vF+MAJwr7JCKibMLne8smeIHozsbGRpE1h4eHsbu7W2hgOeD7xWxs1FJTTAv/D+hDxjjdknk7OTkpx283m9dpyHj3mUfLy9wf6jPYqnkya0Avy3wb2e+iPF1nzQBhXSLbkHkYy8gYn+hpsB1xY3jQTw4VALixLpGVrDl72PnN/FoX0cdMX/Sm63cxUMrRNmS2ARRzZFll49GyEcOn3+9Hs3l9109ExMnJSaysrJR7f+Av9NWLFy/iRz/6URwcHMTe3l4MBoNYXFwsR5V3Op1CQ3RNBoHMq5076AZ4+G16wPxnHrOjk/mBBzisphYdZE74DOOeengv6xBKTlGHbgbnmXd5xmUa4PU78A5/22Flp6qNTxdkJLKRtDafEBkREzxnWqAvkHvIRIwD5hy+ZF3SV9PytvF63NNAuZ/JcjHTrGbovO1v6jNmwPkIn7h9yznzVk5rva1Ynrpu/5DuPRxe71k9PT2N8fj6CHpOFm00GiWKZ8MsZ5Z4jDW5n/GKnZo/T/mlMH4yULLVGzEp7CKubzxnMlAeXhi1NmwYObToPmTr2R4IBHe/3y8pX4AajI/5+fnodrtFKCA4ECYoNfrM8bWO0HBULrRot9uxsrJSTpEyULDiqRl7CE2DBAt6e/MibgQvXnkLl+z5M9NaEXqBR0we1EDJxgvPWdi4X9kzMs2TbCHufmUj5V09ZW7b/TWIMg1qnpccfaSYV2s8awFv+rjAU4uLi28Yf8PhMA4ODiYUGZ4c9qFE3Gw8RuA5xXSap5R+ZOXoNJyIm70gpjdH2tubHBHFyHcaT7N5E12gb7wDXbxuzXf5f4M23iVlAiNmfn4+Njc348GDB9HtduPi4iL29/djPB7HyspK2fvz8OHD+O53v1vqZp/P0dFRHBwcRESUqM/i4mLcv38/lpeX4+LiItrtduzv78fx8XExFpxm1mq1ygEWNhK8PhYWForHDjqbnlnBGYhl5e+/ie5mj+/8/HwsLy/HN77xjdja2iqHDpAibNACSDRo9HqtFStMPzfNk+n5BVDmtQ3fW/7ayIZfzUMUIu3Qf3FxMQaDQdmYj4HI/tCaDMUxBc+yp2Q4HBanmSNe2ZmBvjOgz2CCOc1OBKcwQyvTAiCZnSRE9A2urN8sV+ENeLfdbseTJ0/iyZMn8fjx41hbW4tHjx7F6upq6QeGUa/XKxfP3r9/v+z3mZ+fj93d3RLZhM+y7kAm2MFHv7Ket2yAro541HSC58TrBzxycnJSUvXsUIq4wTDQhwhSzbDP+s+YxCWvhyznzMPT1gptwEOZP6yLoBV9RS6YDvC/jUHjNuhqJ6llC8+aVjX8Rj/IMEEnYEjlqG1t3JmWNQPIuKFG+1rJGMa6yHNhHrSutAyDDnxnPGfj01gMR8XbjKA8Rn5bRtqBQ70YP8g0jqxn7NPmzOvG72cZ5ud/nvLeGz8Ug2YLZ3vEeMYnhthDhbL1xvuIyfxEDI2rq6sJz5A9qaPRqJxe5ugLOfcYKJxORLssyk6nUy7joj0OBEB44Ell0zTMjzJbWFiIpaWlWF9fj3v37sX6+no5cc1jPT09jaOjozg8PCygyh5zipmRUDQeo2xo+MceISvnLDCzpY8g53eOCNA//s8nzwGkaiULFgp9mmbcZCDud/JntdQ0j83PZS9NNpS8uK10EeTTigVpjvBA0+Xl5bLhnjUBj3D3Ur/fL3n05F4DVIhsDIfDskcF46jGRxGTl6M2m81YWlqKra2tmJmZicPDwwLsoJVTSFgvFsCMEeC8uroanU4nlpeXYzQaxevXr4tRYeOlpsD89zSlcHZ2Fu12O66urmJxcTEePnwYvV4vdnd3y5o9OTmJdrsdH3zwQZyenka/34/hcBhra2uxtrZWvNSst/v378c3v/nNOD8/j93d3Tg7O4vd3d3odDqxtLRUUmcfPnxY1r7pYG/Y4uLihEMIR4mBGuAcEFAr2TFgI4O5NU8R7UUOZdnA95ubm3F6ehoHBwfVts0v1JMdWePxuFzgimy3V5d3c53wfV5j8A6feR8l7U7jl5mZmXKIxdLSUqyursbS0lIxXEg3pM/Hx8exvb0dh4eHhbasrYib9CHobI+p97tZx/GeZW2WbdSV5Tq/TTvqsa6gnmxgOqpDSnU2YKkztwNt7ChDLs3MzMTJyUmROThZWAdkd7Tb7bh37140mzfpUycnJ/Hq1avY29srzriIKLLEqXymCdggO9JYJ5adpPbkaAtOSPQzeAIsgAMnp8jm+aAPBufwlN/zu9kpm4HhbQ4eSpbXuW+M0QaiUyD5vtlsvrGOGLeNfdMBoxUAjT4y3cFA0NPAP+MLGwjZmXWbc6RGr2yM5LVzm+F423PTnEn+3w4Jt511uvsG/WrGE/Igjym3XfuMdUzEh8wF5sxyxmmmxmisqZy6aOcM47FDKBvQ2bD/KuW9N37MTDnCAxhAAOe9HQhaRycgNt859YN7arrdbvEYRsRE1AjDy55NJg2lzR4kTsiw4UN/m81mUWbsW8KTzNjc14gbq3t2djaGw2EcHR1Fr9eLFy9eTGwghEl5j304gE6YF6FjQURxBMrenhzZYQ48V2ZYg5msUKEBc0XJgiciyklJ9jqhGOzNc/F8Z6PqNgMI+rv9/J1D6fbEeAx+x3WaNhZ++T1HWDLQcD15buw563Q6JQTNpntA8dzcXNmAfHV1Ffv7+8UTNzMzE/fv34+VlZUCAl6/fh0//vGP4/Xr1xFx7QlmXcF39hYTtRiPx/H48eO4f/9+bG5uxvz8fAHOpIpy8tne3l7s7+/H6elp2bDK/J+fn5eN09/5znfi/v37sbS0FJeXl3F0dBTPnz+PH/3oR/Hs2bM39ivZ6HRKhYGQPb7QnvX30UcfFRnRbDZjf38/7t27Fx999FH0er2YnZ2NjY2NiLheb1yu2Wq1yhiPj4/j8vIyVldX4/T0NF68eBH9fr/QCzmxsLAQ6+vrcXh4OHFpKeXs7KwcusDztMs+O4xK5AX0No9lfvS6mMZX0BEHCfKEkx2JWDmyTZQDvvb+hiwzWBM1mZIBmEGQPZZ2fPF8zRnC9zVHhnmi1WrF5uZmidDZecW84eGem5uLfr8f29vbsb29HS9fvoyXL19OGA3Mpw3NnOqaU52RlUQUPJ8R8YZetFFqwzkbrMhn76u0DjH90RkULox1faYd9cMvvhuLyPP8/Hzcv3+/pJA2m9fZDLS3v78fjUYjVlZWSkoc6TTUYzlM/4kyu88YT04lp5+sPe8h4nmfqMjaaLVaJfprA5WxIzugAd85Ou3Ps6c8g2qvx1ysj/P/1peuzx55t8l3+Qc9yztOM6Qdp/vxOe95LxDfmT8cNcjYB1ltJzJ0M2+DzZBJxkHZKKyVjDumGQamux1HtXKb4UWxfMrt2IiwvKRvTnm1AenUQju13KcaHcwvPpSj3W5Ht9ud4HNHLs0X+YRDyxAbPxE3h8eYz8AR2ZHzVct7b/wYhOb7YPLmLhYGoMwKxCeYUR9MZIHOiRakc4zH4wJQACk+MhUPLbneMKoNH3t47CmBEWjfqSwUGDTvraEt3js+Pp4QLHmhWgjQLkKJz+zNN/3tacSrg/cGmnNHgY/+BkBGxBvefer2HSduwx5HPG2mR80As9B1O04TZNwGTPZsQivmK3tharTJuc4ZDOT5NNjKhqLrMCDhWZQAbVjBMi7mCACAUqcu380QERO3rdsIPjw8jEbj5lS4R48exb1790r6F5f3Mr8zMzMF/K6srBTPEaCm2+1Gt9stxtjc3FwcHh7G2dlZyf3v9/vx+eefR6/Xi6WlpVhcXIzXr1/Hs2fPSmrD5uZmnJycxE9/+tNYX18vgvnx48fR6XTiG9/4RoxGo3IR6MnJSTHgxuNxHB0dxXA4jKWlpTg8PIzDw8Po9XolhabT6cTFxUWsrKxERMSXX34Z/X6/AN/V1dX4O3/n78TV1VUcHh7GyspKfPTRRxPrB/6j3fX19fjwww/L/L9+/boYQU+fPo0vvviinAI3Go3i5cuXMRqNypHZKD/6x+luERHdbjfm5+eLATkYDMq4AKjmI/Of+c6eZX6jBO2Jzt5He4ExvgwCAX1eX87jd0QdxT03NzdxsAv7YpAn7JfJBi1gq5bKaxloEG6vqw0sxkxq89HRUYxGo8JHFxcXRcYxvl6vV2hngxrDh76hB7Jcp084KsbjcTmiHjDOaaLoJpwHGeg4Quc0GmQLsiRHGuARZIkNc3gR4IPsibgxJm2YRFxHf5y2ykWn3W43jo6OYm9vr0QzkRvI1QcPHpR1RpSo1WrF9vZ2HB8fx3g8LnxgPQ6NDNDtzLSstdzLqbk+Nhn+QF/hHUdf8b3Xmx1XnuNs+EIrX8xp2mbQmB0Z71JsEHk8nqucgcH6gR/os+WGUyYjJk9WtA4nmsOz0ID0fvYS46wB2xEVtJFprIUuxNi1oWb9bmPe9JjmuKRkY9HzkJ/zPPHj92wMuM7sfIqYPHwFrAROI4LGGvTBQDmiXXPkGv8idzMuISOJE41PT09LVNV1Ma8cesD4MWwsj+xAtNGUsQfr37Kb8bxree+NHwtjM3/EZLpGzoFGwTSbzQLIawIjW9KuG0aLuLnAEK8uixFw4UVpzyOT7z4w8ShEAwGXnG9pAe6FRn+hVy0dLHs/7f3yZmjaycKNOkixMZh26NVgw4o1ey8siOy1wHtjOuYx1TzRABIrGofcaZN2qCcLvxoQsMKyMnOZ5kXJY+XzLGjcP/84bch1MS82kOwQQJH3+/3Cn3g9bSxyMAcKCFA2Go2i2+3G6elpOZ1sc3MzXr9+HbOzs/HkyZOirM7OzuLVq1cREUV5QT+cC1zo2ev1Cohpt9uxvr4e/X6/eNKXlpbi0aNHZU4vLy/j9evX8Z3vfKdshG42m+V0NAAxtPr6178e3/ve9wpIRMkuLi6WPQWE8efn5+PZs2fx4sWLOD09je3t7fjiiy/i888/L4K62+2WvRv9fj92d3fjyy+/jKurq/joo4+i1bq+rf5P/uRPyppaX1+Pzc3NmJm5Pu6aPQwYfOvr67G0tBQLCwtFfkCvpaWlksJ3cXFRIsyNRqMYFQAIZBKXCLPGiDphjNg7ndNDMr+yZmvy0D98b97FaHEbBlteP7luy2BkIhHCZrNZFH+W1dRHNDPixpvoPU+srWz4mSZEVhg/h10gW5BDe3t7cXx8HHNzc4U/cB7YiCLqMD8/X+aROcTIy6eVOaJmLzZr2XtSZmZmyrxPc7iY/tAvR8VsNNmxBrDKciunrTqKz7zh4LDj6fT0NPb29oocmp+fj/X19VhfXy98gy40f0OX+fn5QsPj4+M4PT0tUVcKfQU4MWc1/ZELnwEk7ZU2DYli2WkHDe1Ic4QTWrt9+pQN0Fq/MjB+W8k63EYwJbeX9RTv+TdzCdCFlzzPxlrwKbyB3GfdRERJFfXpsETbLi4uylUAPsWWYt6/uLiYyDYw79d0cDZ6KMYymQ58n53LuXiueM7Rj4x/cl+QpzhBHM26uroqn3lvnvWIecz8aRrYUOEZfhuXscZZ9+6rMzOINjlTKWdlZTkfERNYORvfjPerGPmU9974sWcCoew0tojJsD5eMxtNMIm9XxFvHheahR0Ta8bjN4re6R2E5FmIPmXNm+/slXe+I8qU4pC+x2kAbCFvxct4oIHHy+Kj7mxQ5XZz6hB94R2iN1jrfoYFYE8r/aCfCH97bVA+nnN7nizIecaKnJ9an7PCd4E+OQ3P8+928V7UwCCgjvpMf9MzC1krLNJcMuj0uBFIjuYA5NrtdoxGo+K1waDnmHb6iufGBht8dXFxEUdHRzE3Nxfb29txeXkZy8vLZY5s3DYajeh0OkUBNRqNEvWDDwCTeLAODw9jbm6u7JOBVzCYdnd3Y29vLw4PD+PVq1exvLwcm5ubhb7eX8NJbPCT90ugQMfjcSwtLZX2z8/Py2Z1jLjHjx/Ho0ePYm1trfAc/Xrx4kV88skn8fHHH8fS0lJsbGwUQxCAdnl5GZ1OJ4bDYbnU9ODgIJaWlmJ3d7dE0S4vL+P+/fvR6XTi1atX8eLFi4iI+PDDD+P8/Dw+++yzMh7W2eXlZTGokBcALcCD860xDNlTOI3n4amsnHjGBR5hHTv9EYcPABCZapnh9W6+t6IDXEXcGDB2uABCWav2LML/8/Pz5W4KwKpls2UBe3qcmoTs73Q65XvSsugjadG1QiYB0QwrefiTdWtHB22jX9AXJycntxoxGSDbc2yeiJg8Nt7PUw+GmufchkY+yhwd57Q0fnP57+LiYqytrcXKykq532dtba3IoIgoBmGr1Sop26R0c6Jgs3lzchzy1DRw2ivjsjMR+ZbplYGi9RR0trFNVM4ZG6yFzBPIaM+T14jvo8lzOc2wve0zt8GYc3aESy3TwL9zJAKAjkPNaxp+s+7iHsSrq6uyh25hYaGsq6Ojo9jd3S0Xo9uRiuxCDgO0aQfZ6DVrGZWNOo+xRkfLw/x5jlbYqDGf3GZo5frzfJsPhsObu9+c3udThdFzdoyS4u65ysbFbWMz/egjvMp6td4nyo/8t1Mdp4jbMB5DXvsUURvNP095740fACbGC6lhOfQGAzQajeJ5ggGt8D2ZNWUMyKbQ9nA4nDjhzIobxY5iwWPrk2hg2poniR8UpQFyjpbYq5E9OWY4G3X2njkVAsHLuBBOEW+e1DUej8tGdxZUzZOCAHL6SvYCWSkgrAAnpgt14XXwvNlLnYWiF22eK3sz+CFF0QrPxUrE6QtOVzAIcA41dMkeE9rLXg0DG7ylrjt7nWzAttvtaLfbEwp/PL7Zg2Y6M3++R8oez2azGYeHh/Hhhx/Go0ePYmbmev/QBx98UAyUlZWVArY5fMAHgXS73RiNbu5rsULs9/tlbuABjAiMoaurq4mjbjm58PT0NB4/fhz37t0rPEUa5sLCwgSAw0Nm2uCFR17s7e2VIzwXFhai1+vFq1ev4ujoKNbW1opRExGxvb1d5g6afvrppzEej2N9fT2ePHkSl5eX5XCEi4uLEingYINerxd7e3vluF4MplarVTbJ93q92NnZiadPn8bMzEwB0F4TyMPs7CDN0Q4B830uNe+o37PnMvOpjZ/bAAD/58+oy3KGeWFtAW4wEHg/nz7H+8iL4XAYq6urxVBHfu7t7cX5+Xk5yQ+52G63S0SOE/6yg4ab6AEXpnFtLQMWGAdpqBk0XV1dH0DiNEUbBF7P1M04nfef58nOHOaq5hDiWcaLLM1GI2AHYxFe89q29xj9RMrrgwcPJvb0REQxZlZWVooOM929H/DTTz+Nn/70p9Hr9cr82/A20IcWNZ1fK14jNt7N09bHjMHP4Rg1MHbd5gv43DoxG16WZdTzLsXryfoqZyy43/BRNhhzlkL2xjvKxNz7Dhj/5r3z8/PiaLIuIx3Sx/NjALAeuC8IXsbxlTfcf9VowTSD513eq8nOzHs1Y8l1wAt2QNmpn+ULawVM6HkjDR38BY/Ziex6asX8awMI2ZCdB8jhnHlkR40dFA5oYEA5soiOremMdynvtfHDQoMBMtHMTLYU80RbAVGPCwIAEIb3HGDCBDBRKEW8HrV7NGiLPTVmEnsCYGDqPj09LVYyTOYF40MKUEoGNRbyFhiOVCGEAFwAw83NzbJpEeUOSGaBcKIcn+PJ6fV68fr169jf34/Dw8NyJrwFwtzcXLncEU8qi+jk5KSkRLGQiUYAhE0/aMC89fv9srHcoIRx8xtQZSPG/OZ5oR3oQXt4/dwn15UVDPVRh38jsAxA7UnP3jO3Zz7znjM83oBj+BTjmnQC+BzvqlNwTk5OYnV1NT744IOShmY6EWV48OBBieI0m83Y3d2NXq9XlCYpb6SAnZ2dlcM5iMAsLi5Gr9crt383Go1YW1uLpaWlaLVa8fr167i6uoputxtzc3Px8uXL+PGPfxzf//7348mTJ3Hv3r0SycK4YY/Y7u5u7O/vF1rjbWa/ze7ubkm729zcLAY+QG9/fz+Gw2FsbGzE2tpaoSlRnVarFWtrawUcooSvrq6i3W6XNCnaOTk5iYWFhZJi9+DBg5LGs7W1Ff/2v/1vl4NM2u12rK2txcnJSRwcHBSgi8HuqE/Ezb4rnBkczAJf2SEyTZlk75/X223P0o9cb3Y25O9q66TmWIBfGSvjq0XTWf/8PTMzU06iwzHV7/cj4joys7q6WiLvRBjgFd6zfKVdQN5oNJrY00T/uNqAiM3x8XEZD7xjOeC0Qejr+fJ+EEf1Da6sf3jOetTjyNE0/sawWV1dndjfioHIszgdSL1Dx+Lhtf558OBBfPjhh/GNb3wjHj16VNKeFhcXyx5djH4Mvt3d3Tg6OioHAf3kJz+J58+flwM9rP+dHg097XjMDqRpRng2NPJpZsyHZbeNYwN5P2Pj0AZpjs7amKoVxl0r1ov+zDrH2MP9gE7mDR9SkQ2kzFNEuM/OzibufzE+g39ZYzZU+Y2jJ1/d4T57nxx6iwgIa8r0QodnY6PmLKAtGyBZ97lffs/PeC06cpEdQB5fba3CV8a1pJo3Go0i33PfkJ9EZ53VkemAXuDHfGw6Il+RxziNXa95I6fqIQ/M22BkO7SazWZxTrmOr1rea+PHjNFqXd9szubliMm0MJ4BLJMj7DCvw972UlCcNmSQw6TyGQoQUGxvLHXCqE73iJiMPNlCxtAgspWPy7SBRx0IAXs/bT0zbi9GmAwPA/WisDCG8ErZ+8PzzvcFdHP08PHxcezt7cXe3l4BwSzeubm5WF5ejpWVlYkjY1utVvGQsxkdZc9pZDYSmDsbKP1+P46OjmJ/fz8ODg4KuGk2r4+iXVlZidXV1bI53KmTBv2Z91BKzjVGWPM5/2fPjIuFmo0vDF/zhwW9FXr2dNvz5vpRCI3Gzd4BR3o4WQdhdHp6GoPBoIC48/PzODo6iv/7//6/4+OPPy4pWo1GoxxhfHR0FN1uN77xjW/EyclJvH79OhYWFmJ1dTXW19cnokAzMzMlCsTR2hiQi4uLJVJC3w4ODqLRaJQ9NawxNl32+/348Y9/HNvb29HpdGJzczMePnwYKysrZY2sr6/HzMxMHB0dxcuXL8v4zs7OYnl5Ob75zW/G2tpajEbX9yARJRoMBjEzMxNPnjyJjz76qESCOOyAk+4uLy/j1atX8fz582KEtNvtEmkgPenq6qrIrYiIvb29svahiRXF5eVl9Pv9OD4+Lg6Cly9flrRDIgPn5+flYBaMSUAA/cs8mRVUzRipAadsuNTWigFjbs9eTcvGd4maAKJzBJf1QZ3ZWdHtdosBwiEQZATAp61WK5aXlwuwsCOGfVTWJ5zmhpcSOjpVw8YF87exsVH2thlsAoyyxxk9gzOHOnPmAbLaetLABlmBEciR9bS9tLRUZKFB0NXVVclAQMcgRxk7P2yGRs4jt+FNz9Xx8XHs7u7G0tJSNBrX6bCHh4flQJSIKAeIrK+vFzkzGAxiZ2cnjo6Ootm8PjgFGeKDjDB4s0Mw86d1qWlvr7QdABnsO13R+MJZHTa0DLTz+nCKqI1iF+u73DfqMqaxjrSeqAFsZJTpwg/rx0esW2/aeB6Px8UJnO+oQn+hZwHslim1fULgi7zGeRe+xuk0HA5jZWVlAgdlQ9Hyoyb/TFNKzSE0bX5qMtRGJXQ3prNxlx1OrF90KbyXecF9Qffzd0T9NFmvdxt85veIKE4gcJnrMR3hXctBns0pcDxvvvfhIqzrvAXjq5T32vihIKhIR2g2m8X741xPFiSRGTM/zGChEPFmPiaMDtG5TR2DZHZ2tngh8eiNx+MJr537k5kb4eH0MMY3Ho8nlJnTk9w/R0VQghZggCE270bEhDfMCgLhhPef0DHCiue9F8NRFYc/Z2ZmYmNjIzY2NiZAd8TkaWTQxZ5paIqSvrq62ciOpzt7AFDuw+GwpIzg9TXvAJwdwXP+qWkOjV1qCsL8lD1HuWTDMxvgfsZRHxs+9l5akeLVQYn2+/04ODgooMLe5rOzszg6OiqntME7PhLZUQRuWR+NRiWaxNpAmHF4wOzsbFmL3/72t+PXf/3X42tf+1oxDE5OTuLZs2fx4x//OD777LOiKOFlnA7z8/PF+wud8QLCA51OJ8bj69O3tre34yc/+UnhP5wNAGD4lfmFz1jLrIv5+flYWVkpnuwXL17EF198US7v/M53vlPSB1EuCwsL5TQcQDBeza2trWi1WuVUHiJxGFpLS0tx//79uHfvXnE2sD5OT08Ljc7OzuLg4GDidDM85KxJ9lI4Ystm8Lz5d5rnMivmbFDD59N+XKcVpw2unD5jIFZbKzUPJX3L64i6AU2kKbZareh0OsXwwQFDmiMnSTnSenx8HOfn59Hr9WJ+fj5WV1ffcKjRj4uLizK3rDPWBWMmAor8BMAgIz1O3kHmZieVIwmj0WjixCd4wyCGvpCe5ggF7yLz6QeeXYwd1iFA0/yAwW3ZhPceXTkcDsu9PoeHh/H69esYDAaFDgcHBxNzMRgMysEqPrJ3eXk5Go3GxCmT8AntZ0ALzTPd+Ps2MEz9Nrp5PwM886s/d1tuOxup8LRxQQbE5vPcb+ac7/nb8+J2nCrqfnqcNoTQwTa8WcPGHXyGAYwcp7hfWXbAZ8iws7Ozwm+sV4Nl9u55D1+u0+NzhCmXaXo7GyaWW8YC0+qzTPTc1xxEnhfmCox5eHhYTjdET2dHF7SDVk5xdcZQpn1t3PwG+6KDffUGh36YV6wzvIcs4xbznOlU48/b+npbee+NH5gGJQJAiLgBzDCKgXjNC29PiCMjtAN4cepDTvFyLmKj0YilpaWiVGo5tdSdF4onFlDujbZ5MynFm1TtOURAY/QsLi7G8vJySXOKuGaowWAQvV5v4uhoaJANMX7zLnRAUWXPpUE6R44PBoMCiukf92SwuFngNn4ArIBFADqCBL6wZwklD7Bw/y8vL+Pg4CAODg4KDzAW+KZmiECjLBBy+NaeHBdH+rJHCJp7PjGivdEPA8859e4X8w9Pdjqd4hmDdign+Gc8Hr9xUqHnmb5tbW1NGGHUg3FOZOfy8rKsm/39/fjf/rf/LRYXF2NzczPW19fLXh6Oz4YPhsNhAayk7PG/w+xOa2CNjEbXJ9L5fxujbEb2nPnSQvM5qZuXl5clgrS7uxuffvppOX2NtFDmc2bm+rJGA12Ms2z8o4hYB3hAORiBzaOku3HUM3uxuIsJviA9t9FolNOQMA6Z83zKpZVuzdjPRkj+23LMa8CyDbmZgRegx95gg7XcDwMd5tSyybnreVzsD7JswHAh0gxQI4UEPgF4sTYajevoqdNKI25ONbQDiH4wThwFPlTDhyNYR/k90wAnkWURjgfWgtPkXAfF+pNi0Or1YOPS4KnRaEycGkj/AKnWVXiJbRCiOzk8hagv9V5eXpZDT4h+YkSRqggYJoLgaB0yyrS0AzSniBukUfL/pl+WMX7Oa8D4gvnw88Yg0Mdp/MhDSs3I4W/zSU7Nc5ZLdnTkuum3ZUV2IKJPONmQPsDXTkV0yii6vt1ul4je2tpadLvdsoYYN3Rj3sy7OETPzs6i3+/H4eFhiQyenZ1Fr9cr0XSvVfgw4wbTKhfLoQy6a84Zy8Sa08a4IMtayzbWNnNxdXVV5CkHROB0R2ZhBEI7ywfo4BRDG38Zj1ju0jfo74ixeZL5cmqkMUTmvaxLTAfGy+fm35+nvPfGT22CYGanD41Go5Jy4/0tFHtqPKkYH51OpyzsnM5GH5hoTnaamZkpuY8GI3ixDXxQUixIGN5KAi8lQDAiSg6t9wABdNgEzVjoq9P3nAeLkqt5IZwy4JA1BgXjQRF7QVn4R9wclsARytyhEhFlHwOL1FEgvO5ObTTopXhhmS/438rE39NfFLafs8FskDUa3RyZjZB2BMv9QfDbEOJ/AKlTAOzFsxHjyA/9yAruNu+To0a+L2Q8Hk94TXP/KQCSiJvb6OHPRuM6He3hw4extbUV8/Pzsbu7G69evYrj4+NiXPd6vdjf349nz56VOQCAOhWUfsPzKMThcBjf/OY3o9lslruA8P5yMhAeeuY8jwfjbWtrK/r9ftkXdnV1VXiMuSdS0O12Y3l5OdrtdpyensajR49K1Of169fl0IKIm0te19fXyzycnJzEzs5OWcuMzVEA3iXFDi8pdF9aWor19fWSCtjtduP4+LjwkQ1Fg66c2uD0MuY7rxU7Y/Dyw9+scUeP3V72HrttA6u8DvmcfmH4uZ0c/WRsrDGDI4AwchXwhcywI4D2WOd2plGcskzUiFRf6uAIeG+yZqymN55S9AQ84PG4XUfXPW5/B21o23fKOQ3Xsq22xm34QHenHDP39IEoMfNuQwj+s8PGe4Airk98oz47G1jD/X6/yB364sMDFhcXy7MYFjWgZQeIwVh2iubxZ7DlubHBR3usJ+YTmtYcoPCxjUno4PazccO7vOfITu4P72Xjys8w/rxOyWzhOad5o6txdPEeJ3R50z1zcnl5ffE0/IiTgL2VDx8+jM3NzZKKDm1IUSXNiwwB0j9tlMHf4KHx+HoP6crKSqysrExEDQ2o7Wy8DVxnWYXsBS/5cxs9bsPzDU/VnE0+jAgDH2M/4mYN2ZAHb1pu0kf40evQ/Fcz9M1P5kto5HWGI65GT/Mtfa5F22yc8QM2qNHoq5b33viZVvDasdA4iWpraysajUbZHA2YdnqBlYEFHEcDcywpp0vBQFZupL6Y+a0I8WRFTJ7IhSJGKPiwg1br+sS1tbW1WF5ejuXl5QJ0bMDApBhcRIl8WAOgCiOw0WiUv624LCwj3ryci4UAeCDa43A2AsgKhggO0RwDKyJ2o9GoCMUcqbOxMs1z5fmrPWfjwCk22Wtt5eXxZ9BgUGnPXvZU5OehN3SwYPMir3kdKe4XvIiwoD9uNytyeNMGY/ZIZgFtA9f1ttvtePjwYXzwwQexsbERm5ubcXl5GR9//HH86Ec/is8//zy2t7fLqVZOrYNPiFJAh4WFhVhbW4tvfetbxfnwrW99K7rdbrx69Sp6vV4Z//7+fmxubhbj6OnTp/HJJ5+U+4O87prNZrmjiDl/+fJlfPrpp+VADitBQvwASt4djUZlz1Gr1SpH9XIp42g0ioODg/jiiy/i9PQ05ubmyn5B1gDjxQgcDAbxs5/9LGZnZ+P+/ftxfn5eThx7/Phx2UjOWOyQMKBHRmSDDrlgD1vNAGLOoVcGGdRnnvG6yvtQMgBk3TP/NiJYR2xuxaCoORYslzL4M482m82JtDcr1uw0cgpwTrWwAedx0i+vO9fli6O9Zm20me+85qiLObDn1e/YkQcQq0V9Mn38eZYVBj3oHPjFgMlGUXZ+2YFjg8CGZ7vdjuXl5YkUQtYXezXdx8FgMBF1Iq3RBq3Hyt9u189lo4bi+c/08lxZVrrtTDsXDPLMqzXwnGlmPZjbrYHpDHpdzFusN/pthx//Y0DgnGF81NFoNIpe8/rG2eXMBvbmfPnll/HHf/zHpX4fipONauiaDXo7GJ1OOh6P4/j4OJaXl2N1dfUNuZGdlq6vxifj8eQlz77OhDad/WKHp53v1JeLo8BgI/ABOgPj0TwEnjg5OSl39E1zatWwU+6bjSLT1g5t4zj4yP3LY7Se8P6wiJiYV2QGvDYcDt/Y8/7zlF8a48eTao88C3ZhYaFsSp6ZmYmVlZViTDgqkhc3AggvAwsRgJI9q+PxuBgRmdEwMPCIcNEgi5kyGo0KIyGo6NPx8fGE13F9fT2Wl5cnvIbOAx0MBnFwcFAWSsSNV4b9CTAPaU/uu5nYgtkLDQMNoEqeO4vFwgj64ilyCgrPsPmcCBppEl4sCH+DvexFRpgZnFmp28hxCqMVtz21FAOJbJR5Ayb0c3/42/S1N5LIIf2zUVITVNmDmcdkQWsvL3QZj8cTm1Y9dkLo0DgDVuoyQOHZs7OzePr0aTx9+rRs7D45OYn19fW4d+9eoUG3241Op1PuKeA0QTaTY1CQfrS6uhr37t2L09PTctjFgwcP4vz8vER6Go3rfTG09c1vfjP++l//63FyclLoOzNzfRodKaCcREREZnZ2tqTWZFD56tWrcgGpIxTQkXTSw8PDAqgNeFhf7NmAbxqN6/1l9qrCI6T6DAaDWFlZKR72RuPmFnn2SRAFazZvLnCGZ224WNF4bdacCV4vlmcopQwgHFXKPEd99IF6DGBoD5p5PbAmbDzb4eA+e5xWrvzPfLPOcYThHGNeAR68wx43FDIy3Slu0MYlA1U7odjb5jQ199/Ay8CX59mfQ70ZzHncvJvnOXu7HUFz/6GNAY77Sz2Z5p4byxNSnziIYn19PT788MOJo+ShrY240ejmjrKjo6P45JNP4uXLl/Hy5cvo9XoT8h4A6PFYblG30/veBhLzfEREcc4YAPuZ7GnPhpQNgsy7/rEBmQ2frOv8O48lg27o6wNSSCnjeUeRmQsi2RxjDV2ZZ2hro85GM5iGNqDN5eX1vWUZ6DoFyg4Pl2zIgk+cteMf2mXtsE87zxF1+zn650we2sh1GEcZL7gfWVaaD4g052i71zZzVNs3aD5Ahlheuj985vVsWQ/tyQLyOjKv2PFRmyfzfTaeMHQsO2v0+SrlvTd+IEJNYTCh8/PzJVUlIoqyiXgzlYDQLZNhcB1xnc4AGMMbieCEydgwHTGZT+2/8YJgtNAvPJK+nOr4+LgwwcOHD8sN8NwDMhrdHPVKfjSghzbol4+DRThlxqp5wexZNkMiHKDVxcVF9Hq9iLgRhmbq7EVE0LJgfMeFmdyGpAWvaev3Mn9kw4jCQjbtbQBgOPMewhFjMis5jEIL6Rw1gvbZm+tjzw1up3lnec908JicGsSz9lA6PcaCm7E3m82iLLJjwEaigbyVwMOHD2N1dbXU1+/3Y3FxsZziB4iywsOoODg4KCmeee8Khjs822q1ihHV6XTiW9/6Vjx79qw4KpaWluJXfuVXShoJayQiiqH54sWLeP78+URqjVMYfH8V+z0wbvhueXm57F9iXQFqj4+P49WrV7G3t/fGxnjSd7gQlaOWx+ObSFOr1Yp79+5Fv9+P4fB6E/izZ8/i7Oys7PdhjmZmZuLhw4fx4MGDYpABIDhq3vv6mM93AXh5nZHman7OihEa2ZvoSPXi4mLZh3Z8fDxxSpP5HqMDenut1/iTvszMzEzcb0W/AW3ogGazWaILFxcXZd+BaWJHhcebDS8bgNmxlp0ItO8DRWx81BwffO7x4/xgLBhtjrpn7737C90sVwyoMhBnDuk/f5v2fO4xeRz5WU6SZE/o+vp6+cEgHY/HxVGF7sCZuLW1VdZmHk9OIUOWMyYDRtMk65Na2pqfsxx28YE6yKB8QifA1p5t6wlo4L5nQ9L9yTwCra1PKfSXiI3rubq6mjA+edeGvtNKfbEmPOdxZrrn8bhep0/VDOlsvDE+04T+2QA2DeB1O3NIp0Ov8w79NU3RK07PpS/QJP+dMUl2COXP6QNYy+MxrjRd/OPPWA820mxIeV4yXY3BZmdnywm5S0tLpT/OSMh9QPdahtlYMg1w5lPAm1muZSPtXcovhfFjT4KjL6PRddrUwsJCbG1txf379yeUMRvx8rF5Xnx4MQjHU783C5N3SnoW7/mIUyZ2OByWjcpeiBhkeLja7XZcXV2VZ0ejm7s7Njc3Y3Nzs3jJ8I5wrCj7KjCGcog04iacn4WQBQZgMWLybhoLqeypRbBPy8FF2GfB7LqtEFkM7POwhycbEDXesBLPRkT2otkIhqdskPAeXjDvy7HSNP/Ysw1oZw4M3qCdjRUbqe6DhbeFjL+HJlbE8Amg0uDG/bfAsdDMxiXrje9szA6Hw9je3i58yzpstVrlFKl2u11SR2lvYWGhnNIG4B+Pr09V5G6R58+fx+vXr+PevXvRal1f/Lm0tBQRUS5CRMH0+/1yKhepdIzfTghOZWSN8rkVA2Bkfn4+Njc3S8QAwM6hHKT04cnkhDrGyVrFmOt2u7G1tRUffPBB8XQTlT04OIidnZ344osvotlsxtbWVqEz/JqB/EcffRS/9mu/Fuvr67GwsDBxXDwXqP7sZz+LP/uzP4svv/yyCsprBUPNnsbaWrRBjQPGHr9sCDQajXKbO/n4L1++jFevXkWjcR3ZIqIHL2JMQXdkTU7XcN+Rq/ATx4uzBohWs1+HetEBGUBkp44Bl5+3gwJPOOvdwMZpQDzjtYf8yTIPPs1y0PNjmeH+uFhu5XWef7NGcl/8v+VYzeDieZ5ZWVmJx48fl7VK+uHS0lIsLy9HREzQbmZmphy5HRETDikiYLnvdorSPnKTHwwOAzDezWPIziU+s2MDnYcxHDG577VmDJBNgcxhvkhhsuHB3NmoyfPK72lz5bnwOnZkwmOfnb2+/6rT6US3243V1dXipMEwZR2dnZ3F4eFh7OzslFR3yrS0vjwOR0dyClc2HDwnFOtGg3uivUdHR3F4eFiivmwt8Im4udBnpxKjk5HHjsRmh42dkObHvP54hu8z/rKcqa35aSU7Ttz+tHmAxhE3zl6wK8EF4xJjJssNeNj8a/mW6ewoZzaQamN6l/JLZfzYmIi4Cb+2Wq2SK+97GQC2FkQGfQA2DJlutxtXV1clEhAxuRAB9wgrK0mEQqPRKACUSIwvQeWs9oibC5585C+ns3nhREQBNuTNHh4eFuFjEG8A55C5Gc+L3fTN3iADGKJeVkSOiiH8cwTM4WcL3dwOf/v4V1JKaikvLtl4MO1qAj7fHYCBTN99UpeNjKyU6B/gKgulDBKYb0dxLPQy3/N9NhT9PcIe3vMx7KQduh3663oc4QE4WKih6LPhQGTUJzitr6/H4uJiAarQyAJ1NBqVe3BwApDrv7q6Gqurq/H69es39jYRqQIIGmyMRtd3CBEJxRhg/XHJpNcM88l6Ho1GJbqzsbFRgNLCwkK5R+rw8LBEEGZmZmJ/fz/m5uZifX09vve97xVwHRHleRQHinZ9fT1WV1fj8PAwxuPrU9+++OKL2NnZiU8++SSWlpZidna2XAZ8eXlZjiyfnZ0t9y6RSojhgBPngw8+iOXl5RiNriMtr1+/ngBP09ZR5i2MEDzCPi4Zunl/B3OFUYQy5BJX5t/35TgyDJ/mNWHHDePgfxwx8Jqfyak7fOYDAnDiIHPN33lMdnLZ0QGQ5X07oRgT8tH7AwyI7W1FNngd5j1DyEroVAPYLjWZM60YhDotMRtObtN/0yfWOnTmgAMcfN1uN8bj8QQtSSmDZgZtXBq7tLQ0YeTRPnOD3M4yjzViZxjP2bg0/fK+g+xIwunlPUmuh8M8/C70Qw7ZYDo+Pi7yi/ezYV77zd8ZON5m/GQ+dJq3wSj8jOOGVHy+Q8bwwx5NDtqxg7UGiiNiInKM06PmrKnpQubLkUhkPwct7e3txatXr2J3dzfG43Gsra3FRx99FB988EHZz5R/aAdshdFuxw8y0an5OYJivmMMGZMZM9jAcwQJerMu6JdLXqeec9eVMUrmkcxPXmvmGUeQmD9H0nK9NuxwdBAU8OW3l5eXJVCQ8eK7lr9w4+e//q//6/jd3/3dic++853vxJ//+Z9HxPXpZP/0n/7T+Jf/8l/G+fl5/L2/9/fin//zfx7379//udtEeeWjYxGSEM+eWNJp2u128fraIxARJSUHT9LMzEwBSgbLAF17Mu2dteIzyOMdLwCESh6Pw6rk4nIoAMrD4MPGCQYUfXJ406HD2gKwsDRwsHeMPrJ/yHm+1I1Rh6FEVMoKjHYibvJzWWAeo09RssBwqXkU6E/2qFhw2DtkRYvBw9js0c7RMe9fsMcqAwJ7guwZBrDRJuPJAos6+QxFzL4IeMlKw+Fxe2howyDTCj8LSp7xHCPU8KY9fPgwHj9+HJ1Op0QjAeq+f4s9YmtrayWlg/4RGdrf34/BYDAx1ogo6S7ma/Y+sH7gcYDs1dVVuZeA6GmzeX1QgiMMjvZYsWBkzc3NxdLSUmxtbcXl5WV8+eWX0ev1Cu3hHcZA5Bi54r0kh4eHJb1ud3c3Wq1WHBwclD4D7kivW1lZifv37xda7+zsxGAwiP39/Tg6OoqdnZ1oNBrx4MGDWFxcLMcoY5xFRCwvLxe5W4sE5MKYnMoED5C+e3h4GF988UWJtrH2cc44YgUvXVxcxMHBQdlzhQzimgA2tPMugM8AyA4O/idtJSLKUbesF0clrHCzLLi6uiqn7gFIR6NRmQsbeAbOACCDcNY2+sQ0QJZQVzYcchSoFnFgXWQglelzW0TG0SzTxO/5s+yscp9qBpb7G3FjPKCf4dPhcBhra2vRaDTKpcy+TBFDNiImoqkHBwflomCPnznhf18bwdgcEeJzy04XyzynDZvupiN3j2UjGHraqeSoBDSmXzjg0E8YBTac3H4Gq9bX0zznfOY0d8ZsfnYbgFIca9Zb7XY7tra2yu8nT55MHO5zfHw8cfecMVQev2W/+c5jylGCmZmZ4lhiHoi6Q3cyZcjqOD09jaOjo3j69GnZh5rpmo1hMm8wBDkw5+LiIvb39+Pq6qpEnhuNRjlBGHxq3OXxek7cJrrW6xJ8hVOJzz2/xkCWPcYq71JytCr/7yyBbExNi07ZERxx4zxYXFwsd4OBC+x0+HnKX0rk53vf+178r//r/3rTiJTdP/kn/yT+1b/6V/G//C//S6ysrMRv//Zvx3/yn/wn8b//7//7z90eii5i8nQgFhEWoi1qA3QAbPY24IWMuBGeKHi+h+FY/PQhCwnqtWAYj8clFQPPL8DJngnqGw6H8eLFi3IM7uLi4oQXg8urMIIM5g1yoRmfeZ8GJTMlwsgeCxQX3wMw8XRaQLDXiL44px/FkxUp80rbPrkuL2hHJ3K0qObNzh4cnoUvDHbpi4/AHo1Gbxzl6PcMguBJG5b0IQsh+mEgmsfDvI5Go8KT9sgBEtjMn+ukj5Sc1pGNNRc/A99n2m5vb8f+/n58/PHH8fjx41haWiqCutfrxcHBQQyHw2i32xNefw4oYI212+0CqtnE/+WXX8aXX34Zn3/+eUn/JJWO9eSDBOgz9F9cXIyVlZXodrvF0Jmfn4/j4+PY39+fSIdi3iNuIlIoSQ5Q2d3djfPz87IPD0U5M3N9ahz1c4Q7SsEgifGyt4/1iPED0J+Zub4keDwex8HBQTSbzTKWwWDwRuoTYBsFwh5B7rPC+fP48eM3PMF5TuGHGt8aNJLe9+zZszdANL+t4JvNZllXGCp2HMA3HEUOYIFvnWLi9li77N9qNptl7QK2kbXU4ciHQbxPXeR9aMp+Sq97R8Lpp/tqJ9TV1dWE9x65YR3h9WqHm0EFxQaQ+Zd+5WKa1YBEjR8sjwz4Ldvs1PMFk/m94XBYvLpLS0uxtrYWEZMHx7BHzmN3RMD6LYNSG3geg3nW2Qg2hiwLbczZiOE75pu+ORuBbBAOW/JpjE57yzq6ZiAh88fjceFjn9jq9VWby2wQUXd2ENpJSeo97zmFm3njfjPWE+/wPM4M5KA/xzl0cHAQr1+/jt3d3Tg+Pi5XDzBH6Eh43AetcPhUdv7ZQWHnxPn5ecmOYS6IJrD3NyImLqnOOti6GLnu9G1n5aDnGo1GiXitr6/H1tZWrK2tlbvjHBXK69Gyz/LXTnsbP/BUDY+5ZGdK5hnzSeb7WrTH8qqmM1yvZUmOgoGf4HF+G+//vyl/KcZPq9WKBw8evPH50dFR/It/8S/if/wf/8f49/69fy8iIv77//6/j7/21/5a/Jt/82/i3/q3/q2v3JYFDpYhXhGs/JmZmTg9PY0XL16U9LV2u11y9c101GnPQRbqWNWrq6ulH07BwhNEXTl9jsXQ7/cLoHcfYKqsMAEJg8Egtre337irgmJBaRplZo2YPPEpGwnQ1QaBaQHYhBntWTPYtsLL3gkDcgMwmD8iJvZoeAyAJ48lKznzh2niqIg9RaYl/XREBmUAaHGuq/vvNJhpaSS5r+4LdPWeI+bIXkIEogUc/GeQWTMAoZ+VLP1ye4ytBrYyzZvNm5vhX79+HT/72c8KiDDgZbzw5cXFRTx9+rSAlUajEVtbW2XD6Xh8ffDE4eFhPH/+PLa3t+PLL7+ciAJE3DgkGIfXR7fbjYcPH8bDhw8LiB2NrjdHf/755/Hs2bPiuaPPKLWIm/tmOERhZWWlbJAngjQeX6fpbG1tFeXKOkUGAGAwRHw3Cn2+d+9erK6ulrSMo6OjchLZ3NxcOSqei2GPjo4KQJyfn49Hjx6V+zBOT09L6oa9jhw0Mc2Llg3fPO88A28A5jNfm99s4EdMptkCdOAH5Ermc5/CRx3UnfnW4wCY8Y6/nwaMbWjYWWNgRaqLZZ6BsyOcNnxNX+q0TM/99DtZFkJT87XpbPBu/UL/XDd8b0Og1ge3a3kdcePwbLVaZW2SyhhxsxeCtpyCizHU7XYnnDmO9tD/k5OTibt96D99dwSCdZZ5z84k9DtORPjaKc21TAXzHfRvtVrlwBfGDJ/yGam2NixM12yYWB8zDtYun1k/ZC9/zTCy8WfdjCyBRui7TqcTKysrZZ8ev+mHM1Yy+LUuIFOk0bhOE11dXY3Z2es7zTiYheP8HcXwOJrNm5PPTCOMGRuh2dlpnGcdyfd2mPtzy7nxeFzSaolQQgMwke+mirjZ8A+W8P62mtGaPzNf2OBD54MVLXc8vznqbGyYecU0z6Xm3PK7WeebH9/FELMDjM9IJ3Tfft7yl2L8fPLJJ/Ho0aNYWFiI3/qt34rf+73fiydPnsQPf/jDuLy8jL/7d/9uefa73/1uPHnyJP7wD//w5zZ+8ETgCfFJSgiL8/Pz2N3dLRuJYQxuTye/HsFnq9kgLafWeZJqeahZSLH3CFBzcXFRAEq/35/od04Ps+CwwsoGSRbmNYbOyp/3cgTMng3GGjF5Xr0PaCAtgbA2705jdABLLSpSe8d15nQDA30LLIP2rFAsAPPCQ+mxLwR+8Ek9gA3o4PYRNlZoeb4o2fCmT0T3aoBumsECbREWWZDl+UbR1QRe5h0DDBRufq/ZbJb9dvB4zUilOJWJdTcaXZ8O98knnxRjYWlpKRqN61PfMCKy5xng4f4zhpOTk3j69Glsb2+X28TZV+DT6ugDRijrDeVPTjspd/Pz88UIGgwGsb6+HjMzM2XuUNDMq5UVa4h+AvQ4LpuUwJOTk/j8889jd3e3HKeNc4c+chLcz372s/ja174Wjx49is3NzcJTAEWAFzItp074t0sNOJl/LQunPVMrlim5rly/aQnPk16YvbOuk/5nsDqtn9nBYJ6CL5xu5DtarPiJwiM/LJeyQwcZ4pSsGv38288ga6CHf1sP1erKc5HTYLKczPKAZ3DamHbwZ60ADkl76vV6MRqNih4x4LSjBScJvIZe5jPLvRwVYXw18Ga8gLFqo7XmEMg8ZYfJ4uJi2f/CiYaHh4dF7kI3G6mmOfVnWY8usgFhJ5j1vzFJbW3aaPKeNqLknU6nZKfAoxijWZfZOM3y18a328UQ4nqO3d3dEvWGRk4BNA86yuq9U1lW1aIaWd9DH/OIdTfjyo5ljByMUox8/ne/7RznQCyMFe9fMU6xYZI/Z/wY2+hFaIahkNM3ra9dp7FTXjPQ1VithidvKx6PaQgdXKfXfJZXX7XdWvkLN35+8zd/M/6H/+F/iO985zvx8uXL+N3f/d34O3/n78Sf/umfxqtXr4qF73L//v149erV1Dp93nxElDSZiBsrPCtOwqAWMp1Op1y62O12o9G4zife398v+egOPSP4LIwsFPHCWnBgLGEItFqtYgjgtaScnZ1NKHobNXzvE8UoBsgGf3xn5rEip7DArbzzu86HtfCygucz6O0cYXvdDIjM8DXhk5VkBgkWKAYh9so5CuLoEsXCIXtDTAPG4ChVTkejvexhsic/e06yh9VjNhiCN0wLC39/ZwGWhVMWUrRpQyP30f8zzjwn0ND71zyP9KUWnYRG/J2fp1+skfPz8+j1em/wKDSw0srFYJN28Ia12+1YXV2Nhw8fxvHxcRwdHcWrV69iZ2enRET8/nA4jN3d3Xj9+nU0Go24f/9+zM7OFgcGJ5ZxBGi73S77jz7//PNyfDLv+N4J6BkR8ezZs5JSRVQJuQlt2D81Go1icXGxrLft7e344Q9/GM+ePYvl5eXY3Nws6XKXlzdHXn/++eclspYB121KxeAj85TLNLA4rX7Lhgysa4a+n60p42wc0CfrCmTZbUafed8GlPnC0Vq+4/AZ9jH4MA4bSfx25NcOm9yvPEcG3wb7fGdDJDtBIiYNHQwm0k18PLPbAQRb9iKn8XTTjvUCspl9O+PxuKR2sj5xKrDfFicgoNz8YYdH5gX6aP72ceKeS9ORfXRcgJ4jY5mfXNw3jJPRaFTSxBijcUR2ankc/szAG6ec9axBeY3vLXNrPNVq3VzgjAOGu9Rw9lgHWn8x/8h65hhsltOQ3U9wlg9Iog5wFVH17Ixj3PAw3yEjWE+1uXMf/IPxbCMaOvuOoKxnnaJF3703OfOsr0/gdEnWWo7e5WhTdgw5OwHnI3oOJwwGvNdHDSNk/sgy8W0Gh+fptmemzYkxHxgOHIaMshzNfPy2til/4cbPf/gf/ofl77/xN/5G/OZv/mZ89NFH8T//z/9z2X/wVcvv/d7vvXGIQsTkZWpXV1clF9+ABWFMvjeMdX5+Xi5OPDo6Kl5TL0yeg0Gpj5KFDUzoCfMmcBYnk0e0h706VorU5UujbHTYeMkgIwMAf5ZBi39HTDJ8/rGHOgMNPPMoGr5D+Gcgk/vF3xbyNS9V9obY2IiICZqZN3KxMLO3pAae7GmjXo/TixQa0y4KoLY3JhuCHqMN8WyY5HnK9LP3mGecbsSP+2cFRf+zoLWSo1g52KjLc12bg5y65PGQHjoej4sC4Tt7+m0omqam0zQgTRSBS4JXV1eLY4X7RmpjRhasrq7G+vp6kSvtdjuePHkSa2trcXZ2VoyWi4uLePXqVRwfH5fThHKKiD2uAK9Go1E2ggPaZmdny11C5+fnsbi4GNvb2yU9BP58+fJlfPnll9FsNqPb7RbvM7Ln6uqqXCbsPSdZcXjc8IWVZk2+8Iz/55mal9xzW5NNgJCIG+OQd+yx5Hm3Y6M684Pbrsmjaf3PkR9fDM36s7GM4jYA8Rocj8fFC3x5eVn263m/Ugb2GBTeW8RaoX36afCYDRX/7XVv3WWAS58BdhmQ4ai0w8uOI68l+JG0n2azWS4e5m4f3st3p0XcyA/6gsPTQBonR5473p8WJcgHGfB5Xhc1eWNnGNEDH4CxuLhYIjbWlZ7r3A5/m+c9V9DBziDzswGv67K+INXQF86ylcAXuiN38xrEYWrA7gOYsnGe9cv8/Hysrq6W9GQbzawZDGFSq31VSaZjjYZ5vm3E8D3zhuFEVDfXCT95TDUHpWWN6U6mkA9KsBOghrXy3POZHd18xvwzlmz4Gj96LfB9XhcZp3ic2Ylk3nOpORs81iyXPF6MH2QpPP+uxk4uf+lHXa+ursa3v/3t+PTTT+Pf//f//XKykaM/29vb1T1ClN/5nd+JH/zgB+X/4+Pj+PDDD8sEQQDAKZ5Woi7cEk8kZX9/vwglTtbCOLJyNfC1oCDFC6FR86BFTJ5tjhVuJU5/fJGkGSbvxYiYVNROhTMoyQIyon4qmpnGQtTCxuA1ewkMUBqNm7s3/D1HWpqRUWgeXw0EM69W2IzF48kn91AvgMR0sBCiH0TwLAAtRGwo0B/ASs0osQKotU3Ji9/CBaGViwWF57AGWqEB9KsJYfjSz1pB1tqnAFQiJvdlQR+vCxfWLN8DznzwiNMZxuNxAYJ4H/2daWXezbzUbDbLZtx+vx8nJyfR6/ViZ2cnlpaWotm8ueQS4MQ8EY3i/8XFxbInYXFxMba2tuL8/LwcQOB9IAcHBwWwjkY39x45t77T6bxxca4dOuSDI6+QGYBGR54ZJ7Tg6HvTAX7Px7Gbf3LJyq/2vQEAJStM85B5OdfjH180TBpOPjympgThDYOK7FjJhtu0+uBTQNF4PJ44eZMo2vr6enQ6nZidnS0efwAOB79gWM/Ozpbj23EkcEBGPh63Bq6ckhdxE9nIsobna/LDespRbhxDTuutGbWWWazPiDfvPps2v+zzgFf39vaKgd/tdqPb7Za1hH5yhGA0uo44LC8vx9raWtkThjFG9gaAk0vIDV6zzsSAsvym7zkjIutU61D4BKDL/5Sa89L63Tp4Gn/zk+Vsba1mUA2eIbrDfT2O+kHvPI/8D41q7eFkIf0Tvsh4BKcNfMqBAZYXzOnZ2Vn0er04OjqKiDcdItZjGR9lQ8i4gf7AN/AKe3+MGSLqaY7Um+fTWyTy3GTc5+/Ry6xBO1GzEVqbl/F4XIxuOyTMNzXDx3jSxRiiVmr4smaAG4dk/q4ZP9lxYodObvddy1+68dPv9+OnP/1p/Gf/2X8Wv/7rvx6zs7PxB3/wB/H3//7fj4iIjz/+OL744ov4rd/6ral15BM4KAiVdrsd3/jGN+LDDz8sp4V44ZJvzeLxd3gPAAUIt4gbgGyQ5X5wqRcePVv7/IzH4zeAFPXaMxUxmV6RhXE2NDKzsBCsDDMAz0rRChDF4M/9nUGZn8mAmjHiLWIToPdSWalYgGSvlNOibCw5ZIwnLwM3ewRsjGT+yWAgC4CsdDy32cOT6zbNPE7quQ0I5qiI+0WBLrcJnGlCIXttMPzdx5w+k8vGxkbxxHDqz3g8Lht4r65uLuWbmZkpChVPLhvue71eAQq9Xi/G4/HEDef00QrEHkiew3AZj8flxDbfGQM4cLrJwcFBObCA9cxR9pxGZ+XOHoX5+fkiN1ZXV2NhYSHG43Fsb2/H+fl53Lt3rwB2jJq9vb0YjUbx4YcfxubmZoxG1/cZtdvt6HQ60ev1ylHZCwsLsbe3V+4JWltbi3a7XfiIy1SfPn06kVIEj+MZY26zdxPlMY1/a/NtHpzGm7cpTgOQ2nqbthayTM17fvCqowwNanm/pnQdQXTJ8iB7hdE7eGvZq7K3txczM9cn8t27dy+WlpbKmB1lpd/e+DwYDEq6Ef1n30su2XBh7dI36yzGmp0BWfazn8315rRi7/FAF+Z9HzmtzE4X9yH3yTyyt7cX3W63jMe8iPGAMwIvsHkY2YHhydxRv+/Oq/E9c5OzLTLAr8lWxmrdQV0+ktunlpoWGZy/zQFlQ6ZWamDV64KMDfY/Igehs1OMarrRaysbfGS0UDjlzDSyA7A2FzZa0QXMn9e514nxUW7HxY6FGo2Zf6dxWhd5jRk/Zqzn8XntGS/VjDJjG/rjA7osm1wfmHM8Hk9EZ01r6OToT6bDNP62nLdBkvnytrqMP4wvzQeuu1Zn1hlf1QD6Czd+/ov/4r+I/+g/+o/io48+ihcvXsQ/+2f/LGZmZuIf/IN/ECsrK/GP/tE/ih/84Adl0/A//sf/OH7rt37r5zrsICImBA3hZXJtneZmhnDxAsneDQNw/ocpEa4zMzMTYCorf5jFQiTiJqpj0BlRT7OwoPG4p3laIt7cX5HBiI0jjxkPWwYwNcbOfeA9X+zlvGfG7ZQu6uG326mlakXc3JHEvPHjlB6PP3t2Mo35zF4608eL0oLPYCgDLtMDoOk2GV82Usx7VhT5GXtuasZRTRBkY890Iixu4ZaN0vz761//egGc6+vr8cEHHxTh3+124+zsLL744ot4/fp1DAaDiRPGlpeX49GjR8Urzub9n/3sZ+Ukw6WlpVhcXCz7ckiFwzMIH6EUDw8Pi4FBu8vLy/HkyZNyNw6HJhA9ITWj2WyWg1JY32dnZ7G7uxu9Xi92d3dje3u7GFWj0fXGZbz07Fs4PT2NV69exWg0iq2trdja2oqNjY1YX1+Pjz76KI6Pj6PdbsfGxka5kBGvN3ectNvtuLi4iE8++SSOjo6i1WpN7BWcmZkpp0hdXl6W47YdWYYHvKfLa87RC6fLZCWc+a6mbCzn8nf+254615fXal7XdgAx/0QoWENE492W9wHAy3nfS46eezx2UGC8U5D5gHAbUtxnxT4J6JyjbQatw+GwpC6yFpEpNdq72Di38ZOdNNkg9PzyXM3bThumR7N5kxpk/QZAo8/MWwb2TpeLiFhaWor5+fkS1UMP4YhwpB0gzPvw/vn5ebx48SJ2dnbK0ffsmzPQtF6zfs+A0g40zwP9qM0JvAJNiNwyLqJpdsiaF2pRcmMYr6s8luzVz+PJhlCjcX0IQ7fbjZWVleJggR/ho5weaMzgtRpxsy6IHOL8dKSed7MhYF7hM8Zp/IajudvtTtzF6Hbolw8nynV6HOZp0z0XO2ZzKrv7no0J06hmuNzmbMoGJn22QcPnXlMR14f88BzRNK9Dz61/Mq7z3zZ8ajLfc+zvMv4xzTy/btt7vYzxzD/uy1cxgP7CjZ/nz5/HP/gH/yD29vZia2sr/p1/59+Jf/Nv/k1sbW1FRMR/89/8N9FsNuPv//2/P3HJ6c9TmKTLy8tygtPJycnEUX4R9Q12EW8qv4iYEDJ4SKkDwY7n2jnBc3NzxUuMsHba1bQCM9Y2VZoRzTgZnE4bqwG7C+/iLWTB5/6auf3bCwwBiSecNBAuJyS9CKUAA1OXBbcFuVPXrAA40Y/5oJ7Ly8sCHuAJ2oQuWXh7PB6TecHgy0YOc1UzaPKCtBKd5k3hd/YOZdpn5ZAVRa7XdJom0Jh/TidDcdV4EsC3tbUVCwsLBcRvbW3F3Nxc8YYDzkmpOD4+LkYrJ6Zx781oNCqAZ3Z2NpaXl8u9NaSjPnz4sKxr1t/8/HzZtwJwAIRivHC3DfdLcBiBD8LIwtMHlbAPqN1ulxRaAG5ElL093W43Tk9PY3l5uZxaxKWp3/72t+NXf/VX4/vf/34cHx+XqAy0gDfX1tYm0kQ4NY4j+Y+Pj2NxcTHOzs7i8PCweJAxcljTrCUDK0dRmXMcCJn/zNs1T7dBLZ/fBqoz3zNP8JfXpdMbPK/U7X0kNty4RsBtZQMgy0IMQNrP4DADA8bu+p3+3O12y7soaR+d7j00jCeD8Jzq7NSxbJiyV9GRg2zsOM3K4MYlg2MDTNrNc24jzTKDPRiWHZa9nh/kq/uIkZn1EDwAvS3buTzY0d3s7Mr0tBFnsJxTbgy0ao6BWmq2Pdf9fr9cr9FsNgtQHw6HE2mueT7Qy3wPFjGARn44wlXTFTUMwLi5gJNLPdfW1opRgUHhfczwde5LxM2Je/QZxy4/jo6YZuaJ/H9ed6w5DGAOZlhdXY3RaFRSS807pDmPRqOyV9KGW5aPjpRzSBV9RwYxvmy0GGdCm8w3tbHl+aFvjuBQ8vPD4bBcKL26uhr37t2LVqsVS0tL5bhwrkqoGR6WFdA3yxJjGfe9VvyOaZH7b1yUsabxpSPmXpvZOKbtmtFaK3/hxs+//Jf/8tbvFxYW4vd///fj93//9/9C2vPiNpHtlYqYPMLTC9ALk+fMlD7OGAWWBTvtILAyo/C3hTN9rymjDHwNBLLx4edtXfO/i72hmW4GPVbONrTyHp3MaBg3FxcXJQXJKYVZIOQFlsfLs/7NxZ0I/byHCoFkpZtBDN8zL7xrgedNswYXGSDSdi7ZKKotyPxZNjSzkKR4Xt7F00GfbeSaDwDC7C2JiEIDPKp2AlCIyhBVYeMym/WbzWY8evQo1tfXo9/vl5SP4XBYwCoCfjS6Tl/a3NyMxcXFctv33t5euQGcW8I5hAQ6wQ+s48vLy5K+gYI/Pj4ukR3fF2JlBO05WYqL93q93oSRBY9xv8PZ2Vm8fv06RqNRrK2txYMHD6Lf78f29nZ8+umnsb+/H1//+tfju9/9bqyvr5cIFp5KxsEN9ZwcR3QqImJtbS02NzdLBGhubi729/cLXXMklVOHSKMCyHhvIQDSx65GvOk9zAZ3zXNo3sgeTq8BA8QcbaQ++uV3LbNqCjx75vnubaWW9kY9WfHXvo+Iwg9er9kJUusTdGIOvO5Z49YRtbF7XWZ54Tkz0HDxnHl+DGKdTum5ZH1lZ1CWTfztvQemvcE+aXMGPOho86wBNs42X6bqqJ9LDbzTLvTI2R7ZOea5y7Tmff4n7XcwGMTOzk5Zj17bAE+vJXiCwlrB6eK+md+yLrIBZ4PA7w8Gg2i1WrG/v1/uWuPQA6LLvow1Owqdfu42oXONH2rOwJo+yzR3+/CmnT6kjhLtYe8dzjxkL313+hw4hXobjUa5nPTk5KTsHbdxAF/yfkQUWYpxa4w4TTYyxzYMwIuj0ajoPO8r9xyQbfHkyZPY3NyMTqcTH374YTSbzXj9+nU8f/48Pvvsszg4OHiDD7wGp9E/z1lNZtqo9dxm530t8uU68rybj7KzYFpf3qX8pe/5+cssVqR4gu0JNHPwfES8wXBZQfM7W6YUJpOFYAMLK92CLCuWmpLKSm2awswCgnrzGHNpNBrlQk6f/DONrtmQyqlq/I1gjLgGb1ze2uv1JgS8x1hT7nmcNeu+1WqVCyYB6j7hBzDpxZU9CjWaEhJHAVmR2vjjGRtXeC5N/2zA8Xn2gvL/NGMn/86CpSY8crGiygazQQkpJ/b6YcD2er0CutvtdgHWh4eHE2liKysrcXp6Gjs7O+XY58PDw4i4Bu+Li4sF0GBgXFxcxNHR0YTSQhB3Op2S1394eFj49+rqqjxLpGQ8vt4If//+/XL5Z6fTmQDH8DQX5mXQbnplBY4hCAjwPSQYLJubm+WeCuQR9/P80R/9UWxubsY3vvGN+Pa3v12O24+IcgjM9vZ2iRYB6obDYQEijUajHL+LMoyIiePwMfBIB+HwBcbNKUm1/X3m6yxHrOAtG8xfGRBmRV/722kmOQKRZYPfy8/ldN+arDfv57U5rUyrJxtm/jwXy/M8hmwI1HQRxbTjO98vBL/6WTt4HMnO9dKXrEvsUMh94PAGn4gG8MNAyQDLvMPfePCJ6AMovd+Pu1SoxwYDoJDigylsVPKbKBU0I1MjOwYdFbQDDFp5rvw9ddIWGRC7u7sTY2Y8pCNBs+xU8/wQNcUohF52ZGY8Mc2RkdcZfIJRTdQy88m0NeE1aKdW5gPqcD+yU5VnPHd2YsLrGF3IZK7cAAfi1IM3zWN5bM1ms5xuNxgMiuEHf8Db/X6/yC7uh8MpTlouvIWeqKXImVamX049tUzz2sV463Q6MRgMSiYSUTHmE93d6XTi8PCwOBq9Rmx8e56nyTOv5/xd7W87vGsGi41+84P7Rp+om77W5OK7lPfa+Im4GSyLAIFpcO1na8IfxuQHhRExGd0xqDCD56NM/R7FYP42izf/T588Lv7OxoEjGi58x7G+pBUYDDpdBlrRtpUrbWIg+LhuNqtH3ITAnXaWx5nnp7ZYbHwsLCyUNCo2suMltMAFqDk8DVDO3lTmhmcQ/NM8NnnR05bnqjaX8NS07zMdphmmNfrcpuxqnjJfmkv/HRFlrjCKRqNRAf7wEukSx8fH8dlnnxXhS92kp+zv75dIj28Lj4iyP893zXASE3uDTk9Py/Ok1R0fH0en0ymKime4XwE+Pjs7i83NzYnISFas0MUeZqeS1fKLI6LwE/txSGs5ODgoe5vYFM/YfvzjH8f/+X/+nxOXmJLmQySs1WrF0dFRNBqNePDgQYl0cQcRKQwoVo6XZwwXFxclDQb+NWjM/GV6UEfmQ54BUFhJvgufGkzmz2mnZmyZ5hnAZm+yL9LMYG/a2KaNM/d/2nM2ZG5zOuX6rAMymPF83OZ8Ml0wDrKMy7LLMtIgws66PC9OOcxjsj6wsWWa2AjguZqOibi5X4d31tbWisMLR4bpYPnHqWUrKyvR7/fj+Ph4wqBweh58bMMQ+cHaAVB7XNn4ibgxfHMEznQx31MPc0Uhhc0GDHTz3Dl65vnP0R3aYr4cLTCGcJ/c/xzRzZjFay2n7bkffs6Owqx/PeZMK/ORxzQcDuPo6KhciOr0RyJCjpg4S8TGD3PufU4caoPsNK/auMqOMtMVgwgnQu7/NHp6L5gNPGjlebKhgBxYW1uLr33ta6UNDl45OTkp2xNoz7TJmHNaMb+4vE0X1ErGr3Z4RNwcXpKNGxs/P0+7Eb8Exk9eSFnJ14BgDmtbyEfcpDHY8gZUWwhlZW6ji/fybzNrzUjJyhCBYcFrr5QFVFbKETfCmSiJw+nUj/C38ZeF1ng8LpGdwWBQ9iqQ4jYYDErqGG067dC09ryYmfOzbp/CQiUKgOBhXPaCW3EghGqGgpVJLbe0VtzvLJBq72SD26U2b677XQ1Gf5ZBiMdaU5IoPIAQYyeVYHFxsdCIPSn2HBF9YeM/goy1cnFxUY6gRYG48CwAfjAYxOLiYqytrcW9e/ei0bg5Rpc5xzOJEcxeGC7yxACz4vOpQfZ2GbDQRr/fL/ne9JGIE2MgleL09DRevnwZnU4n5ubmYjAYxNraWjkCezgcxoMHD6LRuPb0EvHiAAUil1tbW/HNb36z1Lmzs1OMzqurqzg+Po7z8/NoNBoTRh/0I9JmI938Df8jN3wc8zRPXv4x7eAxy6nMWzWjpGbMuOR6DECyMQQorhlQFIO/abqiVjLor8lZr9F3AQ309zbQmkEyYC7LghpAR95F3Dj2rJ+yPkH/5RRA+lZz1jFuAzv65N+5rzXZiNFDaiZHhy8vL5c7uCJigke9X8Z3ZbVareIYy3va8j4U+gXgRY44hakGUqcBV563Y8rz4/pmZmbKXkEftMI8M/eOOBOxRYYwRiLx5mfzmtcrY7SzNKd52+CoOf9qv5lH80V2OJhGxgE1w4p+Z30FT5LSa353VINU54hJ3WKc12ze7KNCx3F9AdkByBsi5hFR2vXVHvAnkaeIKPszLSdt1DBOxpj3qyHzrfOycx8Mhj7Y39+P1dXV6PV65Q66TqcTR0dHsb+/X1IcnT5nfpiGYW6T47U1MQ0HWQ54jm1wgx34zLLb+Mw/b2u3Vt574yfixlrG+zUNyEdMnu6SDaGaYOQ30Q4iDdSfIzJ4b/DQ2HOcwUVt4qZFhSw0m82bk6k8Fpgo5/87jMqijngz9aIGjv03myIdCr66uiogMTMe482Cc9oc1kA9NEEIOP+YNqzUEeYRN55qP2cg4PF5cblMM1ryAs5tIGzz+7d5VWqG4rTi9qfVkduEN+xF8d1YzCkgg0gmni57Ob1OfEcShwXg9WJzKesjIiYABkIfoYayXVxcLJeIPnr0KLa2tuKDDz4oBm6j0SiHBzAm7u25vLyMp0+fxvb2dszOzkan04mtra2SC82mVzsT7LGDjzn5aDQaFaMOuo3H44mjrHmOFDYMyU6nE6urq7G1tRWLi4ulr1tbW/Hw4cMSXev1evHixYuywRbv39bWVsnFH4/HBaRYITIHnl/mE6cH9OWUPMZJWgh3D2WZkMF/9kSbF82DtWiNwYw/n5aOZb61gVEzYuyIyu96zrxmLQemrXOP389kz3vtGb5DHrkflg/Itlo92QDMBls28KCTwVENmAAuALu+cyrP6zQQkw3HrC8Bl/TNnveISWOGdi0vTk9Py1Hw7JUxMKKwl5D1d3Z2NpEd4RO/vL/X8oj20RmeF8Y1zelk/oNXs+Mh4gb8Uj/AuNlslqwGaIpTEWDvKDQgm4gYUXAMuMwXXivmB/Oc08gYh9MdcyqWx45+pq3M3+6HMZH7Y0dCrr/RuDnlEf1gI4i9otDexg44yfQj7RF+IPOFaB93E3rfD8d2M9b5+flYW1uL1dXVaDQa5ah7MmIWFhaK8cE+GzAq9OSUz3xAiOmd57Imny0Hh8Nh/Mmf/En85Cc/iV/7tV+L5eXlsnfWWRTWyc76cMl8n3kof55lcs3JD/2doutx1nQx4/X8cf+S92R/1fLeGz8euD330xSbhZEXqIU8Cywrfise6kBhGHwTonS6VVberod3a97LXGwh58hT9sDZA4WBeBvwzsrLhfrZjA2wajabZQ+ChRMLxJ6jWtumCW3n7+gLKVKLi4slvQpFaB4A1LEfiM99Xj/v2LtpvsELZzDgfkbcGFdWoh5jVp42jviffmSg5n5OU7oWNp67/My0Qts2BE5PT0tuM4KZiJ8VM+DehhH09aW9HDXLdxkAGVB7/4dv7h4MBjE/Px9LS0vR7XYLeMPLdnx8XPra6/XKpaKMA4/vzMxMuVAS2niOWCN4xXznysXFRbx69WoiJRIHB3e0zMxc31O0vLxcLuLb2dmJ+fn52NnZKYcwYDQBbjY2NqLdbsfW1lY5Gvbg4CCOjo5K+p+BNA4A+omn3Eo+IkrUC5k0OztbTl40L0EHO4xq/GOAk/kR+lNqwNjf52KFVytWkLc5BVyspFHGrNm83mqgH1pkuWhjBUXs7zP9vH/Q4MD0toMoy9889mzA0SZrjnc8Jng7O40YL5+Zdjk6W6Ov6VwzduEr1+0LLHmO6KUNHGQMhgEymbUMnZz2TD8wgtBNvm7BoNiyLpdsMHs+phnb1nV2hFlvex4A4shgpyBBF2RSxGR6nWlDWmDmlzyOPEeeSzsZkXt2bNWcpOa33F7NoWHcZDpZL3oucZT5pE94eTAYxOHhYRwfH5e9kfADtGPPDdFAnDwRUdKNOTDH6Z8802q1ihE+GAyi1+vF/v5+STvGiXXv3r04OTmJ58+fx5//+Z+XCMwHH3xQZPru7m68fPkyjo6OijMA51Sr1Sp6FocEKXs4FMGXGHj+jAu2nzx5UlKjz8/P4+joKLa3t6PRaMS9e/fi6uqqZAf4Dq/M/5mH4O1pho/nFqeD67Lhm3mEYp6ycYRcsHOG1L1pEdp3Ke+98cMCQZBZEVG8SGueHAtrA7DcDs/cZqSg5Mfj6xQgTjsbj8eljwBCGzAWzBYE9sTQfsTNUa82MPy9i41C+mihnAFPHruVLO0iIEgzgG6mdfYy1bxGub2sRK18MGB8+3YGFAgt0gk8dhaLFxyLDK8J9dQWk72UBjo2gB2Ny+OpGTI14+c2I7H2nWnO/+YXG8D8MH9E7zgkAFDt41mhlyM0KAXzKXUCwJ0CAH0ybzCv8C0AeXZ2tiiM4+PjePnyZTmJaDweT+Tkk+89HA7j9PR0wunw/Pnz2NnZiY8//jiWlpbKRayMgTXIOOi7DYdGo1HSHpjfVqtV9vNwpxGgrNfrlXs94En6e3l5GSsrK4XfUKikk66srJR3ubcE44UT5/DuYpz7MkwMIPbiffHFF+UiQw6QYOw4B7LHf1qxQeO1zZxyUuBta8f8WZO/NV6vgawMvuCtDO541gA5R23soHJ0gDqQKTVwF/FmhMT0cYQ8y1iesUGWgSYGdjbUGa9p5c39HnvWXY7e8Xn27NPvPB/8mF88l17X1lGWk+zZ5Kh2HFnoxvn5+bIOAD3sZUM2eX8G+p/x47ABsNqLD30Br2yCZ88YfFI7EMRjdT3MBzRFRtEmtIXvkIW07T3H5g2Avw0f+A668ZkjVl5jzCXv5Xk2H1o3wJf8f5tjIuue7CDg+7x/zLo4j5N5wIlJlBCZPB6PS+rgwsJC3L9/fyINezgcTshVDMzDw8NSPzSCv+iPryDA+PDJssiInZ2diIg4OjqKubm5WFlZib/xN/5G/PW//tfj+fPnZd/QRx99FGtrazEzMxP7+/txcHAwEb2nbjIlMGZ2dnbi1atX5cRA1q15bTgclrTH8/Pz6PV6sbq6Gh999FE8fvw4Dg4OYn9/v+gfG5bMvyM/+SfL1RouNsagXzV8bPlpecjfeb1Q+N8YkywsO4K+qgH0Xhs/9hRAGB/ZmoV/xI2StCDKytYhx1rJDFEDDQgjBLX7UbOAc31mxry/CAFgj5AVMkqAdBx7CTJjGSxAEzwtLHIrthwWB/Bxf4HT0nLdVoS5DxlYGNQ0m81Spzf2+phKe+vpH0KCsDVeQEfbmKuLi4viCXGkznRHqPO5hTvzwXc2UpknIiQGG+ZhK5maMVszSjMP+zvqtQHJc04VaTab5Qhx2nYaDLQERERcR4ictkI9FtA2JjNg5Fl7sngWbxZ3NrBemIt+v/8G4KBOAyTm6+TkJA4ODgptHL1xyemuFHLBI6J48YfDYbkXCaPISmAwGJT8anK/of/u7m50u90ybiJLl5eX8fz581K303sGg0EZq49qhfZ2ENAPr3kiUY1GI5aXl8v8GNh7LU1zYsCjXhcZNNUKYIWSDR9/ng1jg38AqlMnvAbzZ7SDrLIBYcUN3WgH3udd9y/rBqdY5Uhv9iR7PWX5w35F1418pW3vzck6LIMW2sv6yXxf+y47BJinDGpsIOQ54nNSgBgXaaCPHz+ObrcbFxcXcXBwEDs7O3F8fBzj8bh441nH7OGIiHKoSUQUQIfDw84VaIPcYA0ASDHuOp1OiQY4HZf1Zr5xfdkwgM6mvQ1We9gB3DhqwQp5DpzGD66hTvNBdqDCK+YhPuN9OwByhkJ2NPBZzemQjSeXrHcsnzjsxceoU0+r1SpjzzIgA10b2RsbG/H48eN4/PhxcfREXMvsXq8Xx8fHZZ5J3Yd/uCeQdMPd3d1ysAwn2FpHt1qt4tTiWgPrt/v378fS0lL0er1yKiqHcqyvr5dxgWM8N7Rxfn4e+/v78ezZs/jss89ib29vQqZhqDEOdMijR4/iww8/LHfwzczMxGAwiOfPn09gJmMVfozP6GOeU8sBz49lKfNp3WBZlSP91IPjkmcxCln71rFES823txnpubzXxk+eiNpiY7HY85w9EtMWbcRkRCaDAS/AbLgwufZ2WCBZedVKNhZY4Ag6LzT32ZNvsIFgh9l9RDUF5jKQMA19WzDtWHihjBgvQIqxYrTY45OBBP+7D+PxuHjmrq6uSpoPxp2VDTTiZDsAPZsBEWp48k1nGzYUg3kLiogbr2wNJORFaB4zADLv3GZwTyvTnjdvZNBpoMzFsPQLwDE3N1cimAAAp2vYAGd82cDKxomLwYABWqPRKMrAisAeS3iB6EyNxvnOD69ZjPtpRn2+48mpdd6Y7LQgnAY5hQ8PJGPGYOS4VGiGcez+A+oiohz1S19zBNt7CWrgFq86a+ri4iIWFxfLXU2kFd1mSMPv1GGeiog3TpWj/cwzGXQ58uJ6c8kGjnnSMsVt0D94Jyv5nDaBjPTeCejq+TY/mUezAQA/2yHC5wZzHp+NI7dBH21o866BqQsy2aDVzzkqEHHjjXf0y44L1z9Nd+VChOLDDz+M733ve7G6uhorKyvlMkZk88uXL+Pk5CTu3bsXH3zwQayursby8nKJ4gPyMAj5IeULAx9QarDN4QJen15HOAh5z3Qhbc54wbrfxUan58V8mY17ToWEnxuNRpFtnOhIPTitSJ/FiWGd4lLDRvSF8Vn22ojLJRtX2REwjSZ+3zrUDjdkgJ2D+eLW/HfEDb/+7Gc/i52dnXj69GlsbGzE8vJytNvt6Ha7Za65f442iIavrKyUZ0jlPz4+jhcvXsTOzk65qy1fjkrk/qOPPipYAxl7eXkZ29vb8fz58xKVYUzs9WGecTTDi1dX1wfbcHccWwq4o8h60U7B09PT+PTTT2Nvby8++OCD+Pa3vx0rKyvlqojnz5/H4eHhxP5Oyy9jNXggGxeWJVke5Lm3nMnP5VKTXdnIzm28a93Tyntt/ETcLFjnCNeEcjY0LCQ8mfk7KyaK0xRcch1WrrWSlXTEm5ewZkCcjTuENgUjCdrwWUSUlAK80d48jULxTen+jrQD+m3vKGPgBmGDUhSLU/NqStjgIxsz0BXl4H570SIsZ2ZmSh4v4yW3ttvtlrtYDg8PS2TBXlgrMBtinjfawfPk+fQzFCuGmsHn31+lWGFR+B9gSeifSIqjF3xmsAPvej8V3mtyzO2FcRqBaWX+No9DM3sgMXgAyHndmc4cWJA94BSDyppBiZLL8+TUMcbF96wP1hteWxsttGfvcOYHnoHPTccsf3x0PtElG1UY6xgDKDH3m3nkfiyOuvft8BSndmTFNR6Py6Zjp8zZCHF0it92djAegytSPdjjZWMwn9TntQO9qJuTl8wDBnzQFMBs5V0DpbW1xZzagKIvFBvS5jcbM+4fvGC563G6nQwCs7zJ8jIiykZtP5/5ZRqIyDrSuuxtHlb6fH5+XgyXV69elVOo7t+/X07r5MRDvOwHBwexu7tbQBppPY5+sAdxNBrFwcFBWY/Hx8dl39/R0dHERaJElGwQev+i0waZlxyRznNbc/bY2WpD38Y9fO3rG/LdhBjh9n4bwEfc7K9EPmfDm5LlS01GZx1VM6RqeizrshqI5bfnEAcl2xV4Dl3A3+ixLEuzfGJ/yyeffFI+Q5YvLy9POPkiYmIvGVih3W4X7MDpoWRIMHes5/Pz8zg5OYlPP/00dnd3Y21tLTY2Nsr8kHb//Pnzom9arVasr6/H8vJykYkR19kFS0tL5eAKDMMXL17E/v7+BN6xPBiNJvf/PHr0KB48eFAO9un3+3F4eFj2+RARu7q6KoYeNAXjZTlqGvOsnTzmt5qBnXkxlxoWzDLPsjMbZP79VcovjfGDUiYkTLEimGbgeJIykMrFzJI9eXxfA2W5TgClwUYtpzP/71S3iJtLDekDQMT/w1iE2n2pmgULKQoLCwtvbM4mPYGwpNPP8CTbszsa3VwmmVNpAD9m+mxooJCscBgbQt6X7Nkry56HiJgQqngGe73ehNKbZqh4rmp9N4j1uO0d8vxlMOH2cps1YfE2wMEzFhLQirnu9/vlyEvWDsafHQl4lWpeH8a5sbEx8Z2BsJ+rrSkbAaS4MN+k18HX8IP3BtQMLwtIr6Xc7/xjsAIPU5hvok2Xl5dFkdEPpw/aY0nJ+zbYj4CzgLnCoGi1WsUrCV0YBwapoyUYD/SBtWCAhGeZU+swgKB5xPWpdZwIlOfdxmCO9vE9R8tmowO+tffcwNKpSQZ/vIfhaaXIunU0quYs4v9aNJfvKR6zFXj2jNYUc64vr1X3Cz6gDv5mnmuOOafsZaMyP2t6ZB0FjzqKkoujrC452mV623nF35wySKoaP3t7e9Hr9SbWD46AiOv1sr+/X9Y0Og691Ol0SvR1MBjE3t5eiWBz99hoNCpH4WOYD4fDWFpamnBM8JvxAnxt2Gb+csqZ+ca85D1IYBLSBDMewaEHjZED5n/LKr+HA8J8kufSa9R6KYPNWqk56aaV26JG5h9jHVLBOp1O0VVHR0dvRHTzmvMahc+bzebEYRq8h5PPn4/H4xJxNC2hDTiIeXCqNH2Br9rtdklNm52dLVkpKysrZQ+s59FXE+BAxrj32kE+k7afswro29XVVUlDv3fvXnz3u9+NTqcTa2tr0el04uLiIvb29uJP/uRP4uOPP46jo6OiN9C98JrpbcdIbR7NF9kAmlaykyZ/nks2uLIe57ufp7z3xk8GnTXjxoI6g0ODcC+2msVba9uKnjptGBnIU59LVswUT3LEDVNaceX2LDgjJu+2QBjD9BHxRuqOBRPPUM/V1VU8ePBgwlAxGOLySUdlrKBtkGVha6OC3xmgGIBERNncRzoQihRacpEkOblHR0dlU//R0VE5WcV3xeTjw2sl848VHPNtj3yNN80vX7XUDDP6ZSXB/xgSs7Ozsbq6Wo59tgHL+x6HjQkrf8rFxUVsb2+/AdagAbw6rcAbeD03NjZifX29nHzGfTnwjqOJAB8rP4MV6F4DkvAt8+/UR8a8uLhYlA/1WXHzHOvQ6ZfUhbfbNGMNkiO+v78fL168iO3t7dKP0WhUjm792te+Vo773tjYiOFwOHFPB6ls0Jw59HpqNm8upN3e3o5nz57F9vZ27O3tlSO5mSd+Z7CRDfoMuk3bLN8sH+krbTkFxvLS8pOSN6DnlKyI+gEJlCx/7JDIhlV+zt9lutBXr3Pas05xoW14Me97MG2cCuOoPnVnvZLngLnEiPapauPxzb7Q7IxhTNOMuPxDnY6KYSRAGwAlaWQYk+vr63F1db03D1rYQWc+wRiiv6SykdbEOH1SFrTFSdbv9yeAJvqOCICNS9PDfGsaZfrzv50E1gUU2sPJ6H2rjNn6hbotB+18s6OTvlieew3n+cw8MG3OveaMBVwyj3qtuW/ghojriARzScqvr1qo9SkX5Jd5lrkCF1lXOBLEj9eZgXfmcdOVaz7AcpxKGhHFWQ1PEzGCB3EMOIXXmST0z2mazkKADkRIj4+P4//5f/6fGI1Gcf/+/Zifn4/t7e04OTmJvb292NnZmdgTSxvWrzmiM43m9Mff1YzTXGrGTzZszTvmcdOlVr4KrnrvjZ+I20NzVk6UaQoNxnZ9LhB2msHF9zlEa0bIE2fDLGLyzoEMtA1+YNB3mWyEJGlLWSja82oBh2LmOTxqKNDxeFxyWCNuFjoX1lkxICizsWi6ZXoT0o+YTDVsNq9P+OII5NwXTstaXV0t5/H/yq/8SvG6k+aFEDo4OCh3q4xGN5e+mXcy2EHQeX4MHhFQ5+fnEyeH1RSMlWumR82Yz8/wd36GuT07O4vj4+OJ/T32gvGuBXyj0ShpSM1mcwJkmbcz73teb0uTgY5c9nl+fh57e3vx+vXrWF5eLqlapCXUxm6gZd6Fn2sKu9G4ybPGUxhxvWbZcH56ehq9Xq84DVB2vOtoIuMHTOGhm2b4kcpDdGd9fb0oJuhJ6k+73S7HpPKd9w91Op2JNDbAJf0lujkzc33EN2Cw0bjeH7G/v18My5osyREATvdzGhc8wfPMT/bSmf4G9dSTweZodHNgQwZs5qV38fpZgZp36Gc2bHMxGLBMo7+sk9wny4sMSrOR5XdtMNG29Yj53m0bxEEjX35JlM/5/hzaQcn0mQaOLe8yrT0WA0xkLaCfaCSyhTV4dHRUovPWc+YXwGyj0Yh+vz9xf50Nm4goYM9RXeqxXAZYRsSEY8RONxs+2QCCRpn/M+0ibnQl8wL4d0QUR6LTQjHeSF3HEMx6ojanNVnofk8zflxPNgjsKPE6z1jMssJrmn3E4/G4yDEM2Gz05Hq9DrzOoIWNz4jJi0WRLXzvyJsNdqJ21iWWU6SPraysFOcqPAeeQA7b+LIhTrGDFx7AkWze8pwyTo65v7y8jAcPHsTGxkY8efIk9vb24tmzZ0VvtFqtYlTisOauqG63W1LaWUPT5tOyyNFFj3HavGXdmeWI5aTXqWVLvq/ybQZ8rbz3xg8EgmHMqBE3DJOBZwbmlJrhk40kg9yagQQAgRmpD2DttjAy3KesiFlkgLGIGyFn7zIgIntRUUKXl5fl9BwvfpQMdblt6svAngVnT5tp57xyC81pc1gbe14wXlw5/xavZkSUDbA8HxHl5BYUaLfbjc3NzbKx/+joKA4PD8uhCBiw2Yg1LeAFp1oitC247fXjJ4MexpWNXnuJXTKQynQzPW2g4lGDfllB8I4NcNPbxeksNRCaQUGec69b9qNdXl7GwcFBnJ+fx8LCQty7dy82NjYmPGSkxHncBuXj8c2eAPrhFD6DYR+lahpzWV3mfZSdQZ0juwBLnof+9B3Fx+ZVjHS8hyi7fr8fg8Eg1tfXy36ddrsd9+7dKxE7vMQGPP1+vyhaDCDmmb/X1tbKYQqkQNDH20AUx4QDEr1Pi7REe+trvOpiIIByy+3zP2s6AznzU67bf+dIoQFFXptZ7iBLskc0/87r2YaKix0qlkmWlXifiWhngx/aOAoCP/t5e4ftZMn6xb9tWPnzmq6s/UwzSJvNm9S2fHobMpT1i+MIwx9+gvdsnLBOm83mRBosuom1YOcO42I8TpXOXnFHVYbDYdnLUXM20VcbrX7O6U6kmA4Gg+j3+2X/C3sxMHpOTk7i8PAw+v1+LCwsxMXFRbmGIBt0mQ9zlCfPOX28TT/X5tyfe4x5LbkgD+2YwmnD3DFnll3MndcnY6j9eO8WjpYM2PPeaO+Xot9Ou/bY8ppuNpvx4MGDcnohB1RgCHnrwGAwKOv6/Pw8BoNBNJvNcujF8fFxnJ+fF/3CeoGv0VXGHTai2+12rK2txebmZiwtLcW3vvWt+JVf+ZXY3t6OH/3oR/HjH/+47JE7PT0tPD8/P1+yLzhohD1o03ijRnswXw1H+z2K8asxkOWnI7+eY8u5n6e898aPFYc9NBGTiy1HU7KQ9mTZU1db7DnUV1PKKB0fJZu9WFa0GAtWODVD5Pz8fOIMejMe79mjBR2cW+rFa4//aDQqxweSq80G0fn5+QIoSenh/QxULGT53sJnmhKuKWSey2lweRO0vR+NRqPsc1hZWZm4h4j+eHP1yclJ9Pv9N47Bzp7U7AU08DNI9kl62VD2fHt85sfs5a4tcNPJgrgmrGzMeAx5Tw3vm/YZ1GSQlvvjNv1M7XsbMwsLC/Ho0aPodrsl3YzL60ajUaytrcX9+/cnLv0EZNcELN9n+tGv0WhUhD+ACsHteyUYu+eX+WM9ZUVP1KImX+DVk5OTWFtbi8PDw2KYcroPhkREFA/32dlZAUZe89nrBRjO4I+6zs7OyiWsh4eHcXJyEnNzcxMnvpmn8prO69384mOIDeDzc7yb92VFTO4ZQW7V0jCoswaIMr9lIIteqBnH05T124yFWt3IBuS05YRlgOkCfZ1WmeVQnhv3zbIql/we9DUYjZi8Qy7rFtN2WjqfZR7P5Tm299+RWoxURyMBi+hS85WNBIyi7CCkeJ9VNpQYCyepWWdlfWm+hSY5PZHCGOwdh0d8pDdrFSceG94vLy+LzEM/50NDKPl/65zMYxnfWEe4TDN2czEvTjOmbCxFRJE7OHaWlpaKM5LsESIkOX0vlywz/DnrqPYOY85O45oRb8ON91g/pOp1u9148uRJLC4uxunp6cSdbdCd+9q8rwcZv729Hdvb2/Hq1at4+fJlOUQmYtKREXGzzsB25+fn8cknn8Tz589jfX09vv71r8fq6mocHh6WQ0TAOVdXV8XoZL8oP9aHtfmr0bHGQ7fpfusuyxend8LjfJblX5ZPt/WxVt574wdjAcULo2eieGKsYCieKAO32mKrLSQDRAu4iDf3iURMbvjNitr1UafTIFh0nOQVcXNKHG3RBzMx9cBMPi6afo5Go5IaBq04bQeBzZ4MFHy73Y7Z2dlyqRifA4AMlqF7viPGgto0YCHaM53p7/oJIwNuX79+PWFAjUajEgnBiMMTn3O+8+3aFIQyHjrqgJ/Yi+HLWGvFhlBNmZkfsqCwYrdRndOE2GibwbkjFyhevsugHXDiUD7zWzNwsjBi3ikGUa3W9SElr169ip2dnXLiTrfbLWkEvi+HtDFHPmqX7FoG2AjIyvzy8rJEWfAkk3+PNy0DUoOo2txysTF3t5Cu4kMKPLcAIwx4C/iXL1+W9jiEpNPpFB6lf8yL1zMybzweF+Xs0/+QnX6n3W6XPQfQhz47emZehA6kCuLE8elunhvkdERMfA8/ej1DN7+DPEPms6cNXuK9iCi8Ap35DOOU7xx5Yt6JZLkeIn8RN8eP0xdoBnhnLTqikfUOfOkN1dPWPDTkd/ZA52fy33n+GCf/u+T55XfNGPJzBr+mp/uDPMl6MgNc5t5pkdTrdL9GoxFra2vRbF4fUew7YmqAHvmXDUv67ewMyxHTPDuAGIP5zbTLzjtHhzhuGY97xGTq/MXFRayurkZExP7+/kTk1REBO0/fpZi/MlZyqeklf24DKvOXDWAbpdC51+vFYDAoe2UajcbEYTyMz/2s9Yc6s662jDaoptR4I48585BxDRGc169fFyP1yy+/jIgo6cbshea+q8FgUN4jire6uloua2232yW7wBF2tw8v8jnRns3NzdjY2ChO67m5uYl0d+NP6m82mxPZStYbds76NxjDTpdMx9znaXxEsUOqZkR5nXovlfHONKxVK++18QMwPzs7K54SgBJEyR6sDLZzmSbc/Ww+zSkXW68169mTlRdnjuZkIywbNhmsYnyYce2VAtzhIa4xqAHV5eVl2etjwYICZ08N85HnJ3sVsyGIwUGfDRK9F8kb8+2BtwHhfU0IlJWVlVhcXCwpFIDRs7OzcucP+dQATO/zsBfJhk4Gx3h1My2ngQorUJ6vFQvsTF/zNyULDOYKQeg0TIwz8yDrxh743Cb9rnnuM2DLyqRGFxvl5ufcB/M7bfp5C25/7z7mZ3JEMP/QB/afwWu054sImY9a+qh5xIYT/O25bTav90Lt7u7GixcvYn5+PjqdTmxsbMTq6upEtMvKwMqL78yrEVHSCvf398tm47m5ucLrpGXAAzY4sic5gx/AgC+aNf+12+1Sh6PxyBx4ATrjWFlcXHwDsHoekA88g1ODPSURUVJQOK1vY2MjOp1OcfQcHBzE4eFhjMfjEgFGj3BMfrvdjkajMXHaYLN5fWFjzRsPDyFbcsSnBuoz7+Y1X3OUsb7ctiMNtXc9h1n21AyfWsmAyPye382yxOswO7/yT05H8vgB1T78A4CJfIP27lOWHdPAkx1LWWblSAHzmg+hoO81WWRngQ/fydkbPpwm4uaIeMuV23il9rn1Tw0PZf67TZ/VDOAsb6dtF+B91rBT6LPzEUcBc+PPp62NaePnvdveeZtejrhOJSdq8/nnn5f0bdKakXs4cNkHjKEMZnEqNo6Z2rrxWuAdnINra2vxwQcfxPr6eiwtLUW/349Hjx7F/v5+/Omf/mn82Z/9WbkkvGaQZMxrBwGfwZc1/OK5rzlm/Cz1WZ/mAq9kenhrQZY771rea+PHiwtQj9fA91dQLMgyUK39zn/nMm0RGczYG+h3zFzTQGR+js8xkmBCC1IrAG6Vj7g58tkCFxDh03eIdnCQAF5SKxAYm82Y+/v7RdH4lKyszJ2La6CL4UIx8MzewWwIQiMLcc7f530LGELrzhnlgj1uUAYIZuVs2nuvSA6Fs6fGSjGDYQPUWslGKWPLxQKIZ7Innc8BWPSXubXitCcecJ49evkz+ph5F/6qCdnaODEkbXS6/xbC2cPpteP1R9t583yOOHhd0F52GgBWAdcYgB73tDQ8G1quk7ZcZmZmykb0RuP6EIW9vb148eLFG3OLoRRxs5kVWtRANeDKgILNrtx4T6SXNYMsIPprYxr+Z+y1u3kM0HzKIAYlcsP57RjlHOJgo8hpU5YTgMGVlZXS77m5ubLPjedwTpF244hmr9eLnZ2d8s7p6Wn0+/0iL31oAHfzcFKYnU30nzkkAs84nKaLIyLzpI3ovH54zo62XHivptfM8zV+rYEu/66Bnvy+n7Xxl7/PnnXGZzmQ03Khpz3A5tHxeFwiI5Z5Xt92mlBXs9ksaUH5HfqdHTw8k40axpaNA1LtclSZeli3jNkANxu8lo+es+x09TzmeTFd81zUDCDkev4sO7ryfFqf0KYjXDMzMxPGAqm55vEa36Ezaob828ptvF/TuzXnhtPW4CV0ztXVVezu7k7QEQPChpxpl/XVNIwQcRN93t/fL6eHPn/+PCKipIIii9hj5HRPHM04dOhfzeDPNMvfZSzyNuxsXs80cB+Mv7Jj0vPwVct7bfxEXBMsX9RXUxrZ+2PvQw0ETSsGedSb68jfZQ8Ln2UBaQGS+2BwaoGarW8LTBQtAJc0HEAcv/Fc5NN1UCYA/dXV1XIrPCepQUefzEY/LZBzyoWFIAxuT0MWQDaOLNjtCUEQzs/PT6TusGmUPji/utVqFcNvaWkpLi8vy10oVmbuNylv3hvCfGA0eXEbaFrRZT7JJSsdl9sMIj/j9AjmiHnJnp2cq+8xOzWPsWWD1eU2QOZiMIJBgzA2QIG+tM2aBxRYKRtEGHRmD63n1SDCIDzPf446ZIDmy+goNYMFWlq40yfLGPb4+Ah7nqM/9MkHR7Bm8YjD8+wzIL2NdeBTlgBZ9MXGLKB0NBqV3HX6mo+mNU3zQRUod4/V6bDQlfY7nU5Jab1//37cu3cvTk9P4+nTp/Hq1av47ne/G0+ePIlerxc//OEPy3HhMzMz0e/3y+V+4/G4GH8XFxdxdnZWHCJzc3Px4MGD+M53vhPN5vWhKPPz83FycjKxuZ5U416vF19++WWsra1N8ABjA7Ta0HFk25cPQwfvt5m2ZjIPZAMk6zB//lWcKtMKbRqkTPOaT3Py1N7xGs99dl/hD9dl4wXZ4Xu03GZNx9oIzeAv44NsEGQ97rHlZy1HcQZyXx38gTFOOT09jePj4wknY24fGlBnxhI1HmF82Xk2Ddxmoyk/hzxC/tWyXvxcs9kssonj+HGQOJpF6rYjgLU+1vi5Zljnkg25GvD3M3ZMR9zcUwbt0ffox3a7PdEvO8F8/D/FDvHbSqPRKFHni4uLaDSutyVsbm6WFLydnZ340Y9+FC9fvpxwwHlbgufD47WOynNc4/8sd7IjgL/zHFKvcXve32TawyNvMwzfVt5r44eBz8zMxP3798vfWNwRb+alYpWbaDWwnYsncZq3zYvPxk6t7vy3lcRtC7aW0+pxGnzzeW2s+TMzlQWN6Tgej4uXg9vifUEZRxRzWzE5+Sh1X9RF3wGnpOHZaLKnH4HqRWIwnD2tLHS82c3m9VGrPpEKAAJgs8cNr+54PC5RJOgAoGSzqhe0+23jwJ/nOczGRjaMsrE4TchYUGFM2Jj1PgsbQ37GvGQPu5W2FUT2bMJP7lcGXYzByoD5cB3wDTRzlAHAmKMzgI286dU8TPuZ9nk95EgNhTk3QHeddmx4XWePqukGjWykRURxVkAjNgezKZp9QNBlZWVlYqM9P6aBPX94WFkbrP8chWAe3Fc7YByBgXcwvqCl95bR30wn5jhH75rNZtnXgYf4yZMn8cEHH8TTp08LMHz06FGsra3F69evIyKK8+bly5flxDiyA3AKcYP62dlZ/PEf/3EBzxFR0mZJpaV0Op04Pj6Ozz77LH7yk58U48l863FmJ4KN9pz2aJ6YZlSYV/15DehmMJg/q5Vp32ejvgawa3Iqy45p+o/vLPun9QleuLq6iuPj4wKafPS777Lz2sq0zUDMDjmnYDtie1tUPGc2uH47F66urkq0Fj1o8GzHjnVkbd5Z2zVD0w6fGh29ni2XauCyZphmcAyP29mb5QcyAsC+tLRUUm852KHf75f0XObQuofPMq4w/sqf5VIbQ+0Z98GONr53ZovbnkZD82FOy6zd31Wrw3hpZmYmjo+P4+XLl/HX/tpfi+9///uxuLgYv/EbvxE/+clP4tNPP43nz59Hr9ebcAyiD7wvyLrf6zbrdM9rXtuO9GZ95zHVaG9swTM1x0X+/KuU99r4GY1uTif7W3/rb8X6+nr0+/2i0FFoRDXsyc3Ml0teLJ7ULCzy9/bM/DyT4ihIVmgG1BSDEEfBULCOGkXcAIK80d0nzbG4TR+YezAYxPHxcbx+/booG7y2V1dX5d4CjCPAA95rvNIGZxlM0h+iVVZIvn/BXnTGcXZ2Vs61p03vI4AeGEdXV1fR6/XeMBB8pDD1411fWlqKTqdTDG1OGsLgQOnijcuKd5qAzZ/b6KvxXb6I03PdaDTKRlgAsSMmzHH2wlDsLLCwsdJ7G0iyssrfM3c2XqCxac1zrGeAiNs3yMjGYha408Cj+wTwoO7cfwt+eNFKtEYbH4pBHQb68OPi4mIxakgvY80CgmjD6RMAKYBDTr3kMzsUKI5gep+QjRSnYphe5jvTwYrbz5nf7FQYj2/SMPJepYgoIKjRaMTR0VF89tln5YJcIkGffPJJ6StrcG5uLra2tib40QaJT8hjTyDziD4hPYf1zt7Kb37zmzEzMxOffPJJfPHFF7GyshJra2tFrpjfnOLDvOW1Ow0g3FZqwN3fZWcF8+R3rcf8bgZwNUdHDdjkvtcMnAyibXC47ax3WSvM89XVVYnytNvticN62GcBr/Meui47SZDVNv6zF97Gfqat6ZEdCBkgY+z4Umd0Y20+5+fnY2dnZ+Ji2hxJmpbOS3vZ8Mw8YGPdc1jTD7U6rE8s+7ORbIcjJ5qBRyx3cIZkeVLjt5qOqvFg7b3bDJ+aMzpH9LIOYDx8R7G84/e0tZj/tk6FpuCuiCgHSLx8+bLwJmnDW1tb0ev1Ym9vrxg/LmdnZ3F0dFR0LMeq5yi2ZTQpdNPwjPcTe85rTgevIa+pbARRwAbwx89T3mvjJyLKkYI//OEP48MPP4xG43rTerfbLQIFrwpnm9sgypEOM29eOBH1jef5WVvKWZlM+zsLeteZQR4lK8vx+OYCMZS6QRWnjsDAeSxmRH4DFKhnaWkpVldXYzweFyCNAp+ZmSmLYTAYFKFmheVNzD5ilxQTe6ptRPgUNzz7VpYoG87S39nZKX3ESMFQQyAsLy/H2tpaaXdxcbHcqZAXtQXa4uJirKysxNLSUlFUbCJkszR9R0ChUH2a17SFTbESsXD1vNuTbIGK4MXIzXxEn1DGNSPGnpvbBDTfZy+bge60Mfpz78UCwGPo5gIAsIHvSMK0fjIu6Fvrj/cG1bxKBoK0lSMj8Bp08P4Z76fhtDrfaM9csqnZY2Yfnx0FNrIzvzqVDKcEvJONGXsQp8lB121PYc0wt9OE9+xU8TqwlxGa+5QnAzw7KPb39+Po6KjIO9/rgvHojbJOq2OvI6nSw+GwzAsR4Ubjek9go9GIjY2N2NjYKHPFHH/961+P733ve/GjH/0o/vRP/zQ+//zzcn8Te4oApjY+bYRBr5yZcJvxUwOyfsdGeA3c1eRbbb5qbUJjG76UaevKf09rG5lhZxHvmG+5J4s1g9wdDofF8UXExnt/spfa/eUzO2JqdIFf8p6gPK+W+zXvvmXr3Nxc2XdnAw064NTgPXjFnnsbGZm2rLE8l8YA0wydaes/Yw9oSd+YP8tbO9yQ77zvtY9c971plh9+x/28zUirraXbdNO7FiKCxn25P6ZzDfznPnluLANrcwitW61WfPTRR/H48eMSBSLbZjAYxPb2drlbKuLGwcva4VCYnJZv/Gf5a8ycZYAdAS7whlOBs/PMGJa6/Qw8Am6rGbTvUt574weg8fTp05KfzYSgEH2eOkrLwsn7DqYZKBA3hzZrzFsDtF4INbBpZvdztQjM2+qgD5yANx6PC9Anz/z09HQinOw7cmoAptlsxsOHD2Nra6ucXb+8vFwY3KF9h/yhKUamwfxwOCz59EdHR6XPGSSSZmaPtQ0eb97D62djl4u88hw5fY00vpmZmYkNyWx+tZDkqGyMH4QBe4Uy3UzLHKHIAKhmgGclzecRMZH7aoDDe452Qiun+nkfUObbDFStXPnuXYTObSCadYrH1XvHEOwRNwIZgV2jgYGjQVrNEWGjjLodoXMf854hp+DRDx8AAF/4OHWnUlpRAGAGg0FRCl47zAt846gPfecktXw/CX2rOWsiJk/MgcYRUU5bgibTjBnogyzN85rBJpFHG+B857EaIPE/Rg3Psn49t95jZ28xNHN7VuL0EePk9PS0PAOYZq/Pq1evYm5urtwf1mhc3xN27969ePz4cfzGb/xG/Omf/mn80R/9UTx9+jQiIjY3N0v6HJFaGyQ1PWOwZN7NeiQX84bfyzIk13cbaPR70CvXVwN2jHGajMiGCM/WHEO5HiI+8J7TmMfj8cQJhsjziJgAVK7b6bPTgFums4337N2vzTEGiveH0D/u28JhORpN7mXGUevIkIGi9xlmGe5SS5vPhotlp+fF7+RiPqsZkMYVlr1Z99nxgj7I0YDcfgbGmd9um8tpvOn1Mc0Qzu/aAQUdpunIbNjU1uM0h+M0x+loNCoXpXa73XJJ6fb2dnzxxRexs7MzcXE3WS3IOfiIH2MI62Hz/W06NtOg5qz3/FmXmG8z/W38Z/n2NgPY5b02fgBDzWazeOIXFhbK5xCCU3sMGCC4j8ikZGVaM4qyoZEjKHwGOHGqWS11hP+zQWbGcJ8AgRgRMKiBGgWvgC9uxOLnXd8ZwLv0gwVCRG1zczPu3bsXW1tbRcngTc20Yp4MaPwcv9l7kgEZ/RiNbu4fIvWJFCE8cXi1TTtHDwD+vD8cDsvlXzMzM9HtdmNpaakoVr/nvvBuxM0NzPbY29vn92pgJwOEDHT4zIImh6wjpp/u4z09mUed2peVBuskz6WjA1mwW+H7cwtO148C8A3Y9mIawGYjwDnsgB/G4YM44D2viZpx1Gg0Cug3OMdR0mjc7PXih2gl6xqDnX4bVHOULUdJO7XKys58BFChfxhQmYegdXY6OEKS57ZmzHrd5EJ/eIZ+Mxc1YGI+eJvX04ZJ9vDxt73t5gnGTnvIBkCio3JeRwBQ1jlgC1l4fHxcIm3D4bDsrTo9PS1RbQ6CWV5ejk6nE0tLS/Hv/rv/bvzNv/k348c//nH82Z/9WfzJn/xJvHjxIpaXl8s9Hsyt+dh0qqWbZjrWQEcGWtNkS5YF00Cg1wc8mvmmNs81uruv/I2+My+4Da/RnDIEz+KQQDY0m82JQ148zhytrBXvEcr0yXSrOSCpu+Zc9TOWTb7ewc8TuTINZ2dnJwCpdatPW7RhSH15njPOsfOFOrM8t/FLHZkHM8/VQGl+xnT2fOd6/AzjsqMkG+q1MU/j91ze9VnaHQ6Hb8goZPo0A6yGDWrruNYm7zAn/X4/zs7O4v79+/Hw4cPyPWmhBwcHE4c/ea49DvNM5qdcphnGWdZP45OsrzI9ptHttjS6dynvtfEzHo/LpnQLm6WlpYljfHk2YjIVwCCj2bwJs1ohwdDew2GQbiHB93ihfIEe6RUoZSvy3FfC+ha0NtjyOAxALEDpG/+fnp6W+yzoY6/Xm9jsz7gNyGBQNhUfHR3F7u5uuXPE0QcvIgv43HfPoWnndDHG4OjE+fl5HB0dlbxVC3tSiMij9mWV3F6fF7zbtoK2AgJQud/wBMIC/rGQQPlnAVMrGcxAm8y/WQFkpWAhaz62EGF800DTND4w3zklKb+XvcH5c4MZG+SmqQE1tPN64RkLccafo2EGUfTD341Go1hcXCxrl9QTH+aB4UEEkvG5nsvLy3ICmvtmGud171QY15eBIj8GcxSDgWng1/QwLWjfDhn314aiI2PwuA0ie3sjYsIL6vRMTiKCh+zBNnjEQICnWYd85nn33Wvj8bgYKDxzenpa5PDe3l7533yEMdTr9crJdBHXe41OT08Lv3I0OGmJZ2dn0e12Y2NjI1ZWVopBHBHx4YcfxsXFRXz88cfxs5/9LJ49exZbW1vx8OHDcnqm9xZCP6fJZW+y+biWBlPjg1qxQZNlU+Y78wO/bQhPqzfzoOWb5UTNmJoGtOxosxyvOf2soz02ZERtnFleZLnqTeaZVuhVPs+Gj/tGXXbq2RE7Ht/sQQNzsN5YLz7yv9VqxdnZWYku2iCMmDyoyXPgZ27TUTZiavxy23v8znStPVszOG7jZzsEskFrnVfr07R6M51qZdp3GOCWnzVjO+v6t5WMXeFB5rnRaJQgAFjp4cOH5c7Dzz//PD7++OOJvZN5PDXeNw6oGSLTnAh5Hj3G3HZ26kxz5v5Flvfa+Im4mZydnZ148OBB9Pv9ODo6ikajUVJPfNQrAMOg2eAg5+Xi0fV306IrvggRIAeYJ9Li23azdxqGMBjgh/xGvgOguf+NRqNEYqwY+N8epJy3mRk4C4erq6s4OjqKwWAQu7u7JY0QAW3BmBVSrjcromn/G2jbI+5+kdOahbLpRNQNzywhYTz1eHTdHnPESW8AXNPSewkARszRNGGRgToL3UDBRsPbwIw/N3j2hndHCs/OzsrN0t7rVlNK05QWnxk81L4fjUZl7fiSWr4nkgKIhC42ioje5XQwwCL3Ul1cXEzs3YDv4QOvA9LEfAgEe8BIleU7R29Y46wHg/0M6qz8cqpN5nfT255pz7Hr8/fmDY/VbfG/ebzWhuWgi9cdxltOLaNeUkXtBfVYMTrsAMoAwfQwT5sXoTP/Uw/y8PT0NHZ3d+Pw8DD6/X7s7u7G5eVlcSqdnJzEaDSK5eXlsoeH74jUY1xwz9B4PC76BU8qvPjy5cv45JNPyv5CaAifbmxsxP3790sWwk9/+tNotVrx4MGDkkLHJcTwmufMRqeNCP+Yn/jJ3v4sW2vFsqtmgFAcmcyyIteXSzY0Mg/6PY/R+siyC35jfdoTn/tCVN/0ymujVtyv27zRtfXldPlp7bD+bfjnTBGMYq+t4fDmJFUMpJyeZHrW1hJrL2OPWsnvvUuZRtcaAK+9Ow1E5zqmzcu79O1dx+K2ssOX9lk70+St26VMMwbz+FjX+T2cLmdnZ7Gzs1OMY/Zfc3CU9cw0euf+TOsbfZpWslzK/9/2zrvQ7l2MxmnlvTd+ADMffPDBxL6B0WhUNqFjHRuEoOy8F8iX/zkSZOFDyUKj0WiUumrRGcCo91mwH4V0H3uxsxf1/8fdn8ZImmXl4fgTEbnEvuWeWZmVlVXV3TUzvc3WPUxjBmaAGTACGiENAgmDBZJlkC0+YIGwLDASkuGDAUsg2RKLZSR/sNoCjWkYmGk1M9M0va+1dGUtmZUZmbFl7JFbRPw+5P+5+cSp+0ZVjbH0b66UysyI973rueec55xzz9XxqpJiAY7GlNswGA2P4302qlja55UB8h0yZ2Y7UpBjAYgVzOy/zxKnniFVKPm/taJrzD6ZkFoiNWuJPkPPG39ozacCTAWa88ixU9HTGHI9f6IeN32GtMdiBTxpzbfOtN5ZmtO6aGkkgNBDjDzfxfMKzEZnL2H1KRdWwNs14Zi1Tz4Ayhh80grvI6Dyy3nk3VG5XA4zMzNIpVJDXrOjoyO0Wi13mRvvvVALvtI9D7rrOEOhkEuukc1mMTs7i/HxcccvNKyGFlctOk9Kr1rUy+lTUnX+KIAU2Oj8K534lBELfFQoBimjdr1sPfcC2XqxL+vifqHngryN5/m08NA210LDJwmqCN41XM+nGCsPVm/b+Pg4ksmk897xPOH+/j4mJyeRTqeHeIAmx9E7j1gv+8ioAJ4DbDab7vxko9Fwe12Bea/XQ6VSQb/fRzabxeLiIiYmJrCxsYG33noL165dQyKRwPz8vKN70qSCHqv4s18+8B0EhoKKD7DY77Rt1mcNhT7+5PvO/q3ePKVf9Uio7LZ8ic9pRlcfsGedBMs2WkINM3w+yAhhdQIdhwIJAENeSZVl5IM0xDGEW+skH+K41KgKwJ17Y381e2uQ/qDzy7mlTsQ1tXJnFP34+JLP0DOq+OoPUr4tmLPlfpV333u+sdyrDp/HydZ3P/Mwykhwr/6HQiEn5+fn591daHqumnRHw6fqjbo3FNT4gKfd06PmyII0lVEW1KkM83m09R2rnzwocAX+CYAf3uq9uro6lBaXHhZlNFQSdUE5gdz8qrjQs0JQpAyYk68hWqyTHgE9L2AZAt8lUfosySpclBAteCBT1N8qFBRUcfz2bI96CoKYgFU4dC4VLFnC5BjsuPRzbcOn8OjhPB2XVQgIQtUDw3b4Q2HSbreH3Mf6Hj1GanHt9/tDwujg4ACtVgvhcBjdbnfoOzIWtcJx3skoSXOWeVoGpPOhQJb9UXBDQEsBqdnSVCCOUrJ1X1gFXi2DQdYjXUdVztUr1e/33f0Oy8vLWF5eRj6fdx463TccBwHd8fExyuUytra2sLGxgd3dXTQaDWfZt96fXu/kDAgzFcZiMdePXC6HTqeDer3uzgWqxc56G4MsUSw+4G5pOWiuOU+2cA74vfIgrUfpStsEhu9s0vf4w7BRrYPGHwIBXzghaZfePWupVj5BME8aoldQlUUN8VLLvTXGqFKuIIC0H4mc3AWUyWSwsrLilAAKVvVca+p9TchARXJychLHx8dD0QIEQuRFvPiUfJ1tkP6YlY7jePTRR7G2toa33noLV69exebmJra2trC0tISFhQWXqMZGGfj4v+5RnRullyDl0gd8LJ0qjem8BwFsfZ7F8jR9zhdyqf1XGe2rX+eJtKYGCrvftE3NqGb3pkZ7sCh4CFIKuV9tv33Ag0CafFwTIWjUCBVW3c9McKKg3Sd3Vam1odBaVK+xoPdeyrulFR8N3QsI62c+4DSKb+q7Pv3F7peg9u27SnO2PaUt5YNBY/G9H1SvlqD+8H/yJgCo1WrY2dkZSsqUzWZxcHDgjIaqD1igo+1Zmraf2b7xe/udT2aOAq5Bben3ahS6X4Bty4ca/KiAee+997CysuIsi6rIs1DI62fKXO1ZGf2x4SZqJSFhK1H5BDX/5vs+5nAvpmrfUYuN9lOZmM4DASAVSirNFjzppma9ZJ5U5vXch4JM26b9n2Ph2KwwDCJmnwD3bTYNg7PzaMP89DO+p2CIc0xBQ0FErxKtx/S6qMKsjIq0qt5FFY5qYdZC4UyBSI8dDzYyxEgPbbM9ro0CPB9dWYDO7+3/BAake72Iza6xKugKYAeDAZLJJFZXV/GRj3wEa2trmJ2ddfHqmpDCgnLu34mJCZw5cwbz8/O4dOkSdnZ2cP36dayvrzsL/GAwcNZUegJ4ASgV4VarhaOjI+TzeUSj0aFsfZbGdBzqZbIAiYWCMEhQUAFj/WrlVvBo61bPku8zS3P6jOVdBCpU/nm3kIa0qeKlHkMtSp8cB4EMz8aQV6iXVT1trIf8Rfug5zZUWFvLNelDwdbBwYELs2N2Ntanob+ce71dnt4XjpthcYPB6Z1H/Eyz8KlHi8aQTCaD8fFxdw/H1tYWZmdn8fjjj2N5eRm3b9/GtWvXsL6+js3NTSwuLmJhYcGF0ekBd3s+Sn+sojFKCbV0aWnYV59+Z0PKbPGBLl8sv69vSvsqey3d+/iabYP7gmuu32sflX/59rTS/Siwp3qA9eaybhby9FDoJGsgjXtqWKJ8Uk+xBWWW3+i4SN8axmvfC5pvOzYLYIMAaRDgDgI2+v39KtA+WvjHLmr41P6zL75198mQoOLj8Q9a2B7Xt1aroVKp4J133kEqlUIkEnF3H3Y6Hfc8jyv4eIaPt2iffevhG4OVgXzO7mVb7nXmR3Xbb7d8qMEPCZOWtYWFBReLreFrnCTdSFY5Y1H3N5+1PxRE1qqmwMZuYtuWfUf/DkKzCqp87VpGxDatQsS5SSQSQ4KfVkvGEw8Gp5mQWBc9bQBc2kT+rf3UkCgFhzqPdn51DSxRq+Vai51jBVVaghQADafTPimYC4dPU+3SQscD0FR01DKrwtaGnCUSCRfewFAhBRi09FFB471UBDsauqYZw9RyriDKnvtRkKIMTudFgY7+z2etd5B1ary7ehBU8ZidncUTTzyBxx57DDMzM4hEIu5yNg1T83lDB4OBS2V+fHzsvHOPPPIIHn74YWxtbeHy5cvY2dnB2NgY8vm8O/ypF+YS5B4fH6NQKODw8NBl+VNhZwWDAnsdo6U/BTbstxUS1iKtAkzf0WcVfGpbbE89jLZ/XAf1erAt0jd5G+mcYV1sV+dFaU6FpSptyg85Vp6xIxi2AM2+q/Sja6HvqRwATkG5ek3a7bbz2OickqfqulpvHevgHlKAx9BIX8gQ5dBgMHAeSfaz2Ww6YDY7O4upqSk89NBD2N3dxVtvvYUrV65gc3MTKysrmJ+fRzqddp4AnX+15OtvnUv7286vjlVpVve9XRddC1WIlS59so3PBckGawTg8z7LtM7BqLNJvv2gocyUkZaH2fH75sE3vlFzop+xfeU5GpGhQI20pDoADUF62aMady0N+Awp2n+fImzr8K2rfhYEanxlFMixPNMalPUdqxP4vC/2Hf1/1Pdsm/UEgTArE320EmRYu1fRetVow0I66vV6SCaTSKfTAIBkMunS8+/t7Tka0TPNKmdVDgXpBhybAsJRwM1nXNDPrHGA47AhtVof67IAaRSo9pUPNfhRRU4vk7Mb1S5iEOKkUNXF0NAq1mst9/o+MJxlywoCu9D6vd3wvv5pvbYO34bzMQbtD5kwiZm54VmPHr6lEklhpJlplGlryBHnSRULZSb8X+fS50ViH9hnrUN/++ZrVAli6lQiVamjgtjtdl12MIbOaSEd9vt9552p1WrY3t72XnBJxYhj5yFFZqyiddB3mJbKGZVETQ6hY7TKPL9X74UqecwaxOeoSDIsqdc7uXOG7yr4ojWc99yQNufm5vDoo4/i4YcfRjweR6fTGQIjDDnyWZQtmOY8cszxeBwXL17E4uIi6vU6isUier0estksOp0OyuWyCzlUOjo4OECxWAQApNNpB/Z5dkP3FZURq/Qrvdn9rJ+rZXWUkNH11fkcDAZDiSBUWLGoN8UqXaHQ6blE8kkNi+Xfh4eHaLVaaDabLrxGjSbst1UCSQsUrkqvlhaV9vTsnrW0UmBrHzU8meOySjrXl/ycBoujoyPndVJPLd9TOmcmUfWs84e0ZHkZ9wbfIdikgtrr9bC0tISDgwN33pPtnTlzBo8++ig+/elP4/XXX8c3v/lNvPfee7h58yYefvhh5PN55PN5791jOg8cvxpl7BrY93yKjvV0KE/3WWYJDrUvdq3VCKN1+gAR6+I8qmfQ9s0azCxdqnJnx67h7NZ44NtHakgNAkSjFETdt7Z922/2g21yr/CCcIY10cKvoMvXL84F6Z7/a0Y5nUfdj2pI1qLrxh9dTx23pYt76T6+z60SrvPrAyX30gMs/wjyIln9i8/63glS2n3jCBqnfcY3DwoKeQ/U3NwcstksLly4gPHxcWxubmJ7exuVSgUbGxvu3kMFEFYf0HlhW1aeKTC3RjDqJUFzb/mUbS/I82MNYUpzDwJ8gA85+AGGGZRuUJ9CAdxNlHbirLKg7wSBHVun3ZDaju2Hfu5jAhbgBNXlQ+j3KpbJad/5mR7ABDAU66598SlSrEMVb/u3eolYp1V09X/bpo/4g+bDWmc4Xh/Tskqs9m1/f995Xrrd7tD5AdapQpYKoQoXMgalXwpBeozUs8aiDF+FpQ94K91Yr5hdA74bDoeRy+WQy+Wc8kFvVbPZRKVScZ/xzAat+UzDqpZ4tr+4uIjHH38cCwsLGAwGLuTMRxM6Tv6msk7Fk8ok54ugnBn9EokErl27hmvXriGbzTrQpmuj4SR7e3uIRCIu+5x6BJhRbjAYuEQKnH9VHHW9fZ8rzem6qtcAgAuNVGWPB6NVWVLhwblTIaZeTRausTU6UBkCMHQvGsM6NXTNKjBcLxWkPi+Oz3OrAlL5t/6oJ8XWafeF8h6dJ4I3nvXjnKrVVOmDhgtVtNXjBpwafPiM9b5pdEA4fBJGRzCXTqeRzWbR7/cdKKNnKpfLYXFxEU8//TRefPFFfP3rX8frr7+ORCKBhx56CFNTU0in0y7pDJUepWsfQOA8Kdgkj7D7UHmDAhfLt+1e0j1v+TrfUfmh/MmuH3mmz6ujfVOe45PdasD0GT6t4maVa7uHfUBR21R9JEj5C9JPQqHT0E3r9dHCUNVEIoFMJoNsNuvAuvZJ+2iBqMoMgnFNwGTnyFesoqxrHtQXfTdIh/K14ZPzSuNWlvsAzP0U1YWsXhRUp+4r7bPvOR/vulexeosW9u34+Bj1eh2VSgWHh4eIx+PI5XKIx+OYm5tz5xKPj4/vCi+3IBwYPket/NXuJaX3ILBv9Sq7f+4H+Cpd6d5Qvvsga/6hBz+qOI6yyAKnk6eM1iqAtm6dfFVaWe4FNHzEoO9a4GXb970T1K5vU43aWD6hYoGBnUcbM60EqYIyCPSoQqYCTBmzDZ2x62PbtAApaG7sWCygtJtU50GBAwUFM+10Oh138ZxekkiFkoq7tTCz/6psW6VWx6tKgybTUAGtCrPPom3r0fmgt2Z6ehpra2vujML4+DhmZmYQjUbd2SYVxqowUiGKRCLOazU1NYVLly5hdnbWZaDjGDSjF/uh+4LgygpXBTPAqfuegJHp7ZkRbmpqCqlUCtVq9a4xHx8fOy8Hzx/5vJZ8h0qGVZY5bvbbglN+r2vDPaUZ69TSzXBSni8h6CMdqnLIuWebqmgqnRAocu34LOecwJtFw3ytIqLzouCLzyhAUOu9NSwo72ZdKpS1BAlYS0PKq3X+uT+pVKrRQWlKeRJ/cz8r71CDg28snGfOvdKBXsFA+u33T+6dWllZwU//9E/js5/9LP76r/8aL774Il5//XVkMhmsra3hzJkzLl3/YDAYuqxY+a/KOhZa+q0ctGPRzxQo29/KzzhuziuTSWiGTp0TpX+ex6PXu9vtDvEVOw7+rcBH6Z+f6Rr75INPKeXn96Oo2WJ5hi3KP3z9IG/Uvltwy3o0dImyxrcfbDISNTZoODtlklV0fXqS7nmf/FW5yh8LUO+n+PjOvXSvBym+vlge6XuWvM1X3710tAcZ/yjgwz1Ho9/h4SEKhQKKxSIikchQtrfj42Pk83lMTEy4UHo9V8sxKQ1o+1ZvYx80UY01/FpdhDTA/UherPxA9TmlH9ahHiCVXQ8CgD704EcZvP4o47MKrqJYfm89HixWCVaBGrQJ75fAreXCV1fQJhpV54N8r/WPGgefBU7nQX8rM9f6VGAqofo8Q/xOMy7psz7QZD9TQHQ/c2nXx24437O0nNArRoWYGeB4TofZ31TgqiBTBc+ORfvCA9v0CPCsC70DAIa8IJaJ6RzqOKmYMH0x66RyPRicJCcgMzo+PnYpgcn0aT3a399Ho9Fwigwzr128eBGXLl1CLpcbOj+mCraOnWeelLGSIWpIjf6tFmMq2/v7+0in07hw4QLW19dRLpfdhW90+1NR4MH2druNer2O6elpp4hyjASGHLdVhNlPzY6mtEXljz9Kz6osAqfhQ4PB6VkbKj0KKKyF1u4T3QvaH2v55WcEjmyHQE49dEo/us+tgqhjUyVfQYYPPKlnlDyZ7/F523/raWJ9lu8zm1YqlXJ7lWfH2AaVSAu6OA+kNa4LPeGkPz5jDXLsk5U5rIPPEhTxfFooFMKFCxewvLyMz372s/jbv/1bvPDCC3j99dexubmJCxcuYGlpaUjhZ/KQycnJIXoivei6aTIJH/DU9dE+6zyQ5vU3x0GAqefMlI9a+mHIZbVaRb9/elaPzykNqrHAGlFUoVIjEenHJ3eVD+mevpfVX8v9ymvtm/aB86ztKh3rHrB1qdcxSPFWeW2fIT9Tz6DusaBijR52nLbtoOJTtO13QQBL14x9+naK7cOouu61zkGgN+i7+63DFoLhubk5nD9/HlNTUxgbG3NJfa5evYpyuYxQKISZmRnMzc0hlUq5oyKUxRqdoudv9b5KnmHm35ooS7OxKp3yXd13lJXKC/Qskuru1jCl+o3KGD53v+WfDPhRJcG3wYKUWQInK4gtw7GKv77vE+R81xKvRbEamhHEIHRBbdu+ooRnlTCrsASBBD5jmax+pn3xMSzbptZphY31CPEzH8jxPc9i48l1g/jC9XS8vs+t1ZHPUCEmc1BrvM385tusrJ8phlVpVgWBd5Awa5kqvf3+SVgiAQiLgoFMJuOEmiol+iznhuvL8XIMR0dH6HQ6LjRHUyJzvGSI7P/4+DjOnDmDfD6PUCiEWq12F03xWX7mA2hKH/zhXPqMEBqyFYvFsLCwgG63i+3tbZTLZWSzWUSj0SFFlgIAACqVissOx/nVTHp69oXeGFVyNbW5WrSDeIQWC4r1h9/ZO8GUxu0esG0o/encquJAzyVD+7QuHy/Tz+3+sgYprrXuUdZjUw5z7vT8HIEZx8J5tbRg+8v/FXQy7I13YvV6PZcNTsdhPQr8jv2zZ0Q5D1QiCG60P6qoEsiTHicnJ91e4D1BtVoN0WgUH//4x3Hp0iV86lOfwje+8Q288MILKBQKOHfuHM6fP4+VlRWk02kMBgM0m82hOdMfzRrGtrheCpCVJpXGlb51rVT2+jwxPiVe/ydtWIB2L5kYpBBbwG+/0zkIom3LK5UufH3Rcep7vrpt8QGNIEOWJq/R/a9zqXOi9Wh4KvedGh2CAIBvznV+LViz4Nk+p/Vo+XYAgvKD+wGf9yraBx8vvZ/+Pug4vp3S7/eHzrrXajWEQiEsLCy47KbT09NoNptoNpvu7PL09DQWFhYwNTV1l47Hen17Bzjlb/acmIKowWCATqfj+OXh4SHa7Taq1Sr29vZc1jlGMzDagvKH+gTpXS9kp4E5FoshHo87ww7wYFn/PvTgRwUbb7f1uSGBu5VcW4c+Z4mAPwqWrCJn6w5icPqeWixJyEH9tkIjqE3WpeOwQM2ON0jBuZ9iLZv3IwzsWHzKrwpsnW/7o3WoMq1zpt/xWQVVWocVHD6QRW/HYDBAvV53wp/Cm1nJrELAw8/xeNyl/VXLsypppAcqHf1+3ylqdGMTeKVSKXeGgRe52jNEVGqVqShwUcWU53jYN2ZkA4BUKuWSGSSTSVfX5OSkS//Ng9tkamSSvGsFOLXOso9BXh9dS0tXFNzWwkvBHolEsLa2hoODA+zu7iIUCiGdTrt5VOsrGWylUhk6w8R17Xa7mJ+fd2nP1bqt7SuYsN4Dn5KghWPVlLc6X+FwGJ1OB4PBYOhiUWD4YLgFQD7lQ+la974vk6CuBwv/55j1LBR/c1+rUqu8Snm3elP0smEFeGqE0L75eKPlfXqOiu3yuV6v58JXuaacbz6jfEvPZPDsm66/5VE2vI57RvvKukl7atzgRaqTk5P4zu/8Tjz99NN46qmn8Pzzz+O9995DoVBwCRPm5+exuLiITqczZE1lH/UzDUnRszMKCnTsFjTYwnFxrZTHWjlqQYfOja6n3dtBMkrpzPZN97n1DliwoHTj0wt03TiHurf5jAWAVvHXudZ+2j4pHen3VPp4oTC/1/mzhkauv8pDrrsqnz4dxrfmOl/6XdCzltf45l2ft8UHqO71zoMUC56CgI9dN23bNw4fIPx2wJFtk/vYnn/l+ULKu1wu58LQKR8ODg7c+UcbRq9hlXY/kCdbp4HVa/WcLr8/ODhAp9NxXikA7j4ieqpJ69Zgw7F1u100m030ej184xvfQCKRcFd+BOn+vvKhBz/AqVJJYcbPgGELoTKTexGcj/EBpxZN+7cWC4iscm0tSvqMBToqLPR7y8Dtphq12ezf2p6dA5+VRkGEbwy+Ysdj+6afq9KrioLvN9v0gSQLWqwVTQUDiwU/1hLGtWNftT+skwxJLdfM7kbQwDAQbmwKHgoftdDqeNkPMqzBYIBoNIpMJoNEIuG8NIzzJVNQZU2t6mQm3CcEUplMZigdNy01tFK3Wi0sLCy4sVAZPzw8RD6fx2OPPYZz5865vjebTezt7SEWi7l+cQ4AuMtZda+qEqaKOOfaCneObXJycshCPzExgfn5ecc0CT4ZBsUzTLQedbtd1Go1dzkcFQ0yX1rU7P5mXxgOyfeCaMfuD/3cAhp+pnRm94gqqaosWV5m9zr/p8JGMEKAr14bC0x9fFFDjtVAocqn/mg2NH42GAxcCBQTXNizUjpXVtD65pbjU4AYDoedJ5AeVAKve41XwwM5b0HzTYVE9656/fmePkdQlUgkhpRuWne/93u/F9/5nd+JP//zP8fXv/51d1nq+fPn8elPfxr5fN71i3xFwaXSDov22xpe9FlreFLwpvSkII/0rPOiv1kH31PgpQCIfdN9wNBgy/+pyHMfaYic8lQdB+tTBdA3P/Y9Pm//tnXo/FpPPOeWv21ooAWFepbKXnJqwZryMeVNChqtAepBFHO24ePLQTqPDxTeq37f38DwGR2rH40C6+wfSxDYsbyAfwe9p3qb5e8PAtJGrQFlHXnZ9PQ0FhcXMTs7i2g0isPDQywtLWF5eRlXr15Ft9t1CWysjLV6kH6n82DHp0YEnaNutzsEpkgD8XgcsVgMs7OzTj/R/aZ0YuU8QT4vlSdtq1f/fsuHHvyQqDQu3HoQtNgNYAUVn1HiVsbDNvV9/e2rUwUCF9Z6fBS1BtXvs0Io+rYgy1qZgjaRBQm2TVunzzoCjL6YSgVZEJNQoadzBGDIAqyCWNu2IMQyYhV2vrA5+4wyZj1bYUEhCxWLZDLpFEimsqay3O+feGHUKkuFx/ZHD71qu3Zdi8Ui6vU6ksmkC0lT6wgVAz1kPTY2hkQigenpaZw9e9ZdNspY4HA4jEajgUajgXq9jr29PdTrdRfm1u12h8AUQUYul8P09DQmJiZw8+ZNBzI4XnqsSAdcVwppHa+1SCsIIBBQGuRakdHGYjFnXcpkMlhYWMDW1hZqtRoSicRde4fntnq9HorFInK5HCYmJtydTr1eD4VCAYlEwinjFCBkvvTG+ZQa3QO6P9Ugwvhtep00BAiAU+aovGidg8HAhVxawM/55PPWAguc3tsVj8cxPj6OWq3mwI9N7086VJ5Fz4+2pWGC+q6CC3oEraDUUJxGozF0bkT3E9fAGivYL869TzawTwRemmWRiTb0Xe0jQZSeldI50fnWMCVfXUo/rJsXdjPTX71eR7vdxvT0NA4ODrCzs4NoNIp/+S//Jb7v+74Pf/M3f4OvfOUrWF9fR6FQwEc/+lGsra0hnU4jFos5ZUF5o3p49DyaNURYOtbf9nP1PgDBiXW4fupJ0flRHs25U3rjM9zrDA0eHx93oNl6gpQGLZBgX+24fAq6/d8a79R4waLPW16sY+Lfti4FyRaE2/MSakQgndo1V95AgxRwKht1L6l3nfTiAx9Wnur+8+kfPkBi557v328hnagB5l5lVDtW1ltZZHUaXRs1uvj6Cfj3x/0W1Vf29/dRq9VcgpGpqSl3Xxsv8A6FQu4ssq6lGqas/qU0aOWJBdtqnNJxWWM1eSJ1JtbN+aQ8YYKkVquFRqOBUqmEYrGIarWKZrOJ69evo91uIxaL3dW/e5UPPfih9brT6WB/f38oaxIwPKFalLHrhFlwoqCBC2oZEr+7V7EAg8RAwWO/034pALNjUaJSgaPMiZZRy6DYno/h20KGYq18SvA+xcNaFIC7M6hpX/i9/s/C9ywDtxYMFSI+j5C1SvJvDTvUeVIlnb8ZtqbZjPTuHiqj3LyMhyXzsWupFk5fUcWE/eNcMGPZwcEBUqkU5ufnsbq6ilKphHa77RI0pNNpJJNJl053aWnJ3STf7/fRarWws7PjrH9U7GixoXI8MTHhhCVTf7fbbUxMTGBxcdF5Vfb29oYubdVxsD0NvdN5oIKva2sNALqmqgiQTiYmJty5DiZd2N7eRq/XQywWQ61Wc5424DRj2tHRkbtfhd4fAGi329jd3cWZM2eQTCbRbrcd3ajHwwJ5C3zsZ3YvqZKq46SHkLxIwx6ogPNH61Wl0e5/fs7ne72T8y8cH89QMaOhhq8pmKC3iH9HIhFMT08jHo9jd3fXJZrQtVV6DtoLyie4hyYmJpDNZt25HdKb5X8qTK0VnvUysQU9PqTFbrfrjBh8nnSrdXFemDFLPZp2PNZKqjxMARDXjHdhZTIZl80pFDoNZdne3satW7cwPj6OZ599Fp/97Gfx3HPP4atf/Spefvll3Lx5E48++ig+8pGPIJvNOkMEPQXk6aRdriG9CDx3RNlKY008Hnd0pvJVAUkQSFI6JB2rEsnPrJyh7KXiZg0JPANwcHCAeDyOarWK/f19177vMLXSHedfDZPaR47PegU19JX12rNguv/s3uNe9SluOkbWR88yDTVcAxvqqrJE+YuvDxoSqs/oPAPDkRE6h1buK23b+liPDzj4xm/pQPeh1R+0Pv2cbam+oHVYQ4q+p3LWglyfXLK6kwXUlqb0Pbs2aqCzdKv6SL/fx+7uLorFogubHRsbczyX53FTqRTm5uYAwIX5Ume215r4+LIWq5/acVsd14J2Ox8AnHzrdruo1+vO8FosFrGzs4NarTbEg3jVyIOAHpYHBj8vvvgifvu3fxuvvfYaCoUCnnvuOfzIj/zI0ED+w3/4D/iv//W/olar4bOf/Sz+4A/+ABcvXnTPVKtV/OIv/iL+4i/+AuFwGD/2Yz+G3/3d30UymXzgAWi7wHA6UmU6Chx0I2nRjTMKMPmEoK8/PstYEOP1PWsZF9vU96wF10eQlgABv7XBbnpbVNGx41ABap9RpWpU/doPn2Jo3/UBJ2W89n8qXFSUKMR4oF0tZGqZZZ8mJiac1V+zriWTSadIULmoVqtOcVGrHAWsvWhS10yBmYIxggNlxFQEaR0/OjpCsVjE+vo6QqEQ1tbWsLa25qz5U1NTSCQSrq+FQsGBgenpaVy6dAkrKys4OjpCIpFAr9fD3t4ebt++7cLplBmHQiF3+HBtbQ25XG5IqbQ0aGlZ10bnQJ/zCUCfAPZZ3MjYCcBSqRRSqRSazabzyFWrVYRCIXchK+f+6OgIu7u7yGQyzjI6MTGBcrmMyclJxGIxDAYnFiqG3LBNnxBTHqQWQRUMBG4W1FmFwrffrcHHN6c2fFK/B06z7mjMeDKZxOHhIVKplFOQ9DkFj9Fo1LU9MTGBqakp5HI5jI+PY2dnx81Bp9Pxrq3Sth0f+TkV8r29PaRSKaTTadcXrgPXanJy0inuQeDHZv1jKCc9nP1+fyismuPT0FNV/mkM4DtsizxHPR0cr6aeVuWaHqBKpYKDgwOXACWdTiMej2N5eRm1Ws2d+1hYWMC/+Tf/Bk8++ST+5E/+BDdu3EChUMB7772Hp59+GmfPnkUikXC8UJVi9o1Anv0iKKKxY3x83K2f7kX1yGmYrVVIVYZR2VHjgyahsAY3AEM8Ub0U7APvSqKSxPOXlp9oGKXKw1EKtwJspUvShR2vLZa+dd+p7LF0as/nqKFPDZo+w6jyHsohq+jr/KjRge3bOvn5KD4c9B6L8j77XVCdrMe26/Nm+Tw29m+fHqjrrTqTHbtvTPdT7Hh98+J71kdTXHM1fPE+H+5TnkFmBAjpqdfrOf2E9KsJe7iXdX/p3KgRz/ZVf/s+AzBkUKB87na7Ltvj7u4udnZ2UK1W3Xkl1WNH8fT7KQ8MftrtNh5//HH87M/+LJ599tm7vv9P/+k/4fd+7/fwJ3/yJzh37hz+/b//9/j+7/9+vP/++4hGowCAn/zJn0ShUMBXv/pVHB0d4Wd+5mfw8z//8/izP/uzB+2OK9ZK6lPUWXyK9L2+s8BHFWPbD9umMhhrzbRtWAChfbKbkr+1zxbAWCXIN06tO4jZ+Iod4yjCU0arihwwnPHOvuObo3vNuwoYu548pK8H/9VLw3mYmJhwbTFkbGxszIVXqEW0WCw696xmOyGT8cWPs28aq8210qxvqgBQ4SSjt5ZMKvpUXg4ODrC9vY2lpSWnyNfrdSwuLiKTybg1Ydzw0dERCoUCOp0OJicnUa1W0Wq1UK/X0Wg00O/33R5mPwko8vk85ubmEA6HcXBwgFgs5sAa96KGcPmEj4/2fMLHR2P2OdIKf9NzF4/HXdhQJBJBJpNxiiW9J+zb8fExisUi0um0OzcRj8fR6XSwu7uLbDaLWCzmgAzX3DJ5VYy0qMVYlQDyAKUJVQ5VqVR6oQdQn/cBLasE8ocCktkFWQ8BB/vMudS0zqRHhvNwD3U6HSQSCUxNTTlvyP7+Pra3t53Q1TW3FnP1JPF70iuTABweHmJ2dtaNn21TUdTU+ZZeLGDmPHKuxsfH3b6m8sC5YMSBnrsA4Dy7DH9UutL51ygCKqbc55rMgnTcbrfRbrcRDoeRyWSQz+edR2hhYcGdkYpEInj22Wfxz/7ZP8Nf/dVf4W/+5m/w8ssvY2dnB0888QSefPJJZDIZR+OkH3pJBoOTbJZMdKIhnL1ebyjNPuePYIdgSSMZdC8oTSqN03vX6XTQbDbvAkm2qAxRzz75nxoFyUuVH3Pc1htggTj3ju036cQnm61Hw/IlBXS2+MKDlF4JiAlWdT44J1Y5VQBkjZ4aIaIhxzomn2I5Ss7bZ9T7wxI0N1p0b3Iv3AtwjdLtRhWfzqVrZD1zKlvsO7567Gds04JrH9gZBXpYCB4Y0ZHL5dx9Pt1uF6VSCaVSyfVZgS55Ofk3jbpKP/rbgvug/nO9VO/TZ6jLMGqk2+1ib28POzs7KJfL2Nvbw97enjNkMYSePIZ1WsPG/zPw86UvfQlf+tKXvN8NBgP85//8n/Frv/Zr+OEf/mEAwJ/+6Z9ibm4O//t//298+ctfxuXLl/H888/jlVdewSc/+UkAwO///u/jB37gB/A7v/M7WFxcfNAuDbXvU5htuR83nn3WMisfQZLJ+OpRIlBCse5wSyj2eZ/lwS68KhIW/KiVyNfO/WzCIIZlQ2vsJtCioRHcgJZwfUQ8SiDqOHw0wPWhMCfoUCWJiQl4pgOAO7vT7/edC5YWimaz6dIt0jtE67cKMioMZC4aKqceIObR5ya386v0Rasw49t1vthnKkUbGxu4cuUKBoMBlpeXceHCBaysrDjX8djYGGq1Gq5evYpQKITl5WXXx2QyienpaacM9nonGdHohuY5H847PQbRaNQdTAzK9EWlWZV6G7Jp6Ynv01jgK9aTxwP1h4eHiMViyGQyKJVKmJiYQCaTwe7urrOYERDSGluv1533guGDTJ+9srKCycnJofMZQbxHAQ7HpcJV94OOWz2BnCvSMt+z3hK1Hlsl0Pe57hsALgmACh4q1npYnwokcHofFek2Go2i1+uh1Wohk8kgk8mM5LFWkdAx6HgBuP3UarVQqVTQ7/fdWTPN2qZeV9um5aGcG4Z8cj+Hw2HnWWm32+4MDvcj+Qdw6v3gGtD7SaVc10v7Qh6o66tnjshfGOZdKpXQaDSQyWQwPT2NSqWCRCKBXC7n7tp4+OGHceHCBfzUT/0UnnvuOfy3//bf8OKLL2JjYwOf+MQn8JGPfAThcNhlq9T2aLwgSKrX6y7VvXrKOW/0uGmCAfVMWIChMoogq9frOa9bu90eumvEzpHPw2HbUVq1/ITraunegi7SeBD9WOWLRcHXqOJ7xve/AmYLwPR/X33aF86F6grKW5X3aPQD597Hi7XofOh6WBDg0yV8ug1/j2ozaK5YRnmAfH3x8WdbOKcWhOg79+qvHa/tj61DP7eGPfJcGlro9VxeXnZyjcYafgec6hQ+b6XPkG8/9wF19psGNzX+Kz2FQiHXp2q1ikKhgNu3b2NjY8MldWGkDYChDLrkpVaePQjg/Uc983Pz5k3s7OzgC1/4gvssk8ngqaeewksvvYQvf/nLeOmll5DNZh3wAYAvfOELCIfDePnll/GjP/qjd9XLQ9YsjUZjZD/uBXyUOH2Lbok2COjYEoQ6dYPYvlmwpBvR97mvP5borFKln+n/2r9R47oXIOHn95on2y/7vYIknxI4qlgrnK2bjJ9hEGyP1u5YLIZEIuGU11qt5s6R6UFr4ETJy2QySCaTmJqaGkpeMBgMXLr1WCyGZDLpQlSY6Y1nhVSodDodNBoN1Gq1IaUJONn0vDSVvymYCJZCoZALbRsMTtLlRqNRHBwcoFQquTMvR0dHqFQqaDQa2NjYwOrqKubn512/e70e2u02bt68OZT1CwBmZ2exsrKCSCSCZrOJK1euIBaLYXV1FalUyp0VoCdtMBi4/nGvcS04/xpCpZY9nRsKU/2xwpv1KS1pqAjXj6nBs9ksKpWKy05HIEuvmdJrqVRCLBZDOp1GpVJxym2xWEQikcDi4qJbD3tTuqVRBSCqZFmFi+1TEaZSrHMxymvN/8l7qIgEGWcAuLMrPEAajUaRTCadN08VIlX4qGDyHXoKCYZarZYD2AAcTQB3Z/8K4qvKG7i/GIYaCoXQaDTQbrcxMzODdDqNbrfrzvL4+JL1FOt66zmYbrfrDBrhcNidB1JFnR5a/jDcjXSiZ9D0Yj9VrjV8juCCYXicN/XAsDChB/dfv99HIpHA+Pi4u9gwn8/jp37qp/CFL3wBf/AHf4A//dM/xXPPPYd33nkHzzzzDM6dOwfgNKxWLz7udDqOJyUSCXe2sNVqIZ/PD9EUs0NyT/t4Of+3hUoYPanq2bYKjxqslHZsmnz2zZ6/4ve2P6xT66CCxTHcS3FWOgpSXBUo2/M+6iG07fjksJ1jevGUx/J7lf+WV2p91qBijQT3Aj/6Wz8Pei8IBOh3XPOg5AC+uVY+HGQs9T07il+w3Ks+/u0bs2+8do75mc/Y6/tezyUqkGXIWL1ed/rJ4eGhC/umoc8atXzyxbbNNq1c9o3JZ5gYDE6jbSYmJtxZZd6x12q1nJEHwBBP5b7mOU3S6f0AZJZ/VPCzs7MDAO5AFcvc3Jz7bmdnB7Ozs8OdGBtDPp93z9jyW7/1W/j1X/9173fWAgIEI32rWNj3+blvMa2AZPEtuE27qt9bK5QyVV//fOO1/wf10z7jYxCqjFmBYp+9F/CxwigIh9shigABAABJREFUROp47Tz42gwCp0H9UasclRgqWxMTE5idncX09DRmZmaQzWaRTqcBnIIMCvxyuYxarYa9vT1UKhXs7++7hAYETAQ1pCMCJVrLbXYqKpfVatWlVG42m65tPT8BnKS1tTnsVXgSSHEdKbCpqG1tbTmBx36oElEqlVCv15HNZpHNZhEOh905inK5jHQ6jVQqhdXVVaytraFareJb3/oWCoUCJiYm8Oijj2JtbW1o/1CJsntAaY4KvXWNq5JuaSkIhCvT0+f0vgqtl+m8FxcXcfv2bYyNjSGdTrs7D/r9vguDYzhOtVrF6uqqSx9Kr0OpVEIymXTZZg4PD+86OMri87byc8u8FbBQ8PuSIPBZ4DS8cJSyEiS0KRRJRwcHB5icnHSJMHj2RfurdAjAZQBk+FO1WkW1WnVncZLJpNuPGsbnmxOOQc9samgh15eeyXg8jnK5jGKxiH7/JDyTfVQgrXWr91nHw/8pVJn0gyFvTG6wv7+PVquFbDaLUGg4VFb3opUlukdtX6iA6JkqAipV8Mlnjo+PXaZHgnh62TiGcrns9vV//I//ET/8wz+M3/7t38bf//3f47nnnsNHPvIRfPrTn8b8/DyOj4/xwQcfOCDJ83xLS0tIJpPOCzwxMYFCoeCMJZVKxaW2VY+YyhdLk5xzGnt4BwjDDDluBb/qWVM+oecGyFuYul6VOvZBw4mV/pQOVZ5pMgTbtoIXn7yyn1tQYUuQHLR90rq1z1Y/0Xe0/3yPYFUvUFa65bOqRwQZKezf9jOfLPfpSUGAIWh+OTbbftC8BQHTUcYhW3y6mO+ZILkV9M79tGX1AbZzcHCAUCiEmZkZrKysuDBV8g5mge12uy5smPoA9RZGpig/I08j3+EZQJ/ctQ4F0hD5PteJ8n9sbAwzMzOYn59HNBpFNptFPp9Hr3eSdfX27du4evUqPvjgA5RKJSef9YhIEGgdVT4U2d5+5Vd+Bb/0S7/k/m80GlheXh56RoUYAC9zCiJqKjzA3fGLWje/CwIDytxGWUdsXfZvPmPPidhxWbekdcXbEjQH9n3f2Pj+KALzbYTB4DTJhCrIqoxoH/Q93dS6Rj4ria1Ln08kElhdXR1K6axhPTdu3ECpVHJgYmlpCefOnRs609Ptdp2yUy6XXagI00urgFDGQUsp66JwpzWc71Gx5XMMF6NVRi+B1Od1jhifz8vCqEDQSk5FjsyOBwuPj48xNTWF8+fPY2ZmBplMBpOTkzh//jxqtRoKhQJKpRLm5ubcfULlchlf+tKXcOnSJUQiEack0ZtGhZeeNAI7pTH9bY0PCop0j/B7G+7mo0tNHsD3aXwIh8OYmZlBvV5HtVp11n2mBOW88WwAn0smk27OotEoms0mdnZ2sLy87PjMKODPftmiRhjucY7T/th9oDzPClqtCxgGE8pz+D0NN81mE4eHh0gkEi70oF6vu7nTeeUPD9YyrJC03u/3kU6n3T1U9ArYtOcWKBPw8Hu+p6lRSVMTExNYXl5GsVjExsYGZmZmkM/n3R6PRqOBCpWGjHIsFPaqyGs2QqZVpgAfHx933hILYnnGROdJPRIaxqiKCBV9Ai01rABwXilmXmPoG5XZRCKBeDzuPJ6VSgWvv/46FhcX8Wu/9mv44z/+Y3z961/HzZs3USgU8OSTT2JtbQ2vv/46Xn/9dczPz+Ps2bN49NFH0Wg0sLe3h7m5OczMzLjkKQxFIUgmbTMbpO5hpUmlV75HALS/v+8MQpwH3b86d0r7dj/x3ALXSHmGWrh1b4RCIQecfYWyyBb12FgPt/5tgY96We7loRgMBkOGVfJ8zpn2MQgk2YQHLATVnC8FPfzc6iNB+k1Q/21f7ud9C5h86xI0Z7b4gFMQ/Sgv97WpBqug/vlAne9v24YFY7afpJle7zS5DumjVqthMDiJ4mg0Gu6uLwIdnqFhlEej0Rg6W6xh+ewbeSEjQaiTZLPZoVBe9kMNOz7ZThlGAyO/i8fjSCQSSKVSTudZXV11RmqOiwmKOD+jAPmo8o8Kfubn5wEAu7u7WFhYcJ/v7u7iiSeecM8Ui8Wh946Pj1GtVt37tlCJCiqjFHKdpCDwo0yRDIZ/W6JUQgvqgypwQUWJWJUU/dyHnoM8XKoIad8sCtdNbfttmbodoyp2PuXJEqLvedv2KCuOtdbaTcQ+6fxonfw7mUziiSeewKOPPopEIoFKpYI7d+5ga2sLb7/9Nm7fvo3JyUksLy9jbm7OKeqMneemTCQSyGazWFhYcHGzPNzPzVyv11EqlYaUHT7X7XbdQWgqshT6bEuVS3qUOG5aMrmGx8fHDlxQKOvhagp8PS9AAUilPplMuvd4Aagebk+n04hGo6hWq3j55ZfxzDPP4Lu/+7uHlDrWBcDdiUOvF0OfmHaWY7N0pWCOglZpTOna/tb1tlZOAlB6vHhYMhQ6iSdeWFhArVZDMpnE8fExCoXCXbQViZxkxisWi3j44YcRjUZRq9WQTqfRaDRQLpcxNTXlBIee1VKFxiqCus+0TVU07Lxo3XyGwskqNNoHFoblqYBSoUQhqGnV6RGzXg32j2PgmSjWwUQYpIdEIuFAVSgUGrp00xqVdG0tfRNAEQhwjQ8ODlzIF8+MpNPpoUtvrceF8xgEuBk6pwYEFeo0IljDjqatpueIgp68QzPC8X3Sp55LJAhnGJ4q9pbme72eU254WfH4+Djy+bwDKC+88AKuX7+O/f19nDlzBoVCAfv7+3jxxRdx+fJlPPHEE1hYWMC3vvUt/MM//ANu376Nj3/847hw4QK2trZw8+ZNAHC89OjoCNPT0+5MF+9sIm8KUiyPjo6cIYjGIIb1cv1J7/TekM7p1SVw1KIeHTUEKYDivtAQPc3gSQWPc8r14qFwK98VrI+SabpnOBblh9YQwKJtcdwHBweOpzPckPSg3imrJ6iM9ukYCniUzq1eY/m4fmeNMGzbV6yBRvuqvNMaKHS+VI+yfVNgqnXrc5o8yOolamy2us4oYDYKQN8LJI16X/WcwWDgQAT5CPlho9Fwsr9er7voFfJvhsurwYZJU1QGaz+t7kZAZA0UKps02oQlEjlJNpTNZp03XfcqQ38ZQXDt2jVsbGyg2+2689cahaPzeL/lHxX8nDt3DvPz8/jbv/1bB3YajQZefvll/Kt/9a8AAJ/5zGdQq9Xw2muv4ROf+AQA4Gtf+xr6/T6eeuqpB26TxM7JspYl3RzKtJQpcKNz8hQMWSDC35YB+rwxfMZHNFapUwtQ0MZQlG8VBc1Io31SxuUDRjom1meVKBX2FsxwzDoXfFYtRUHMWMfgY5j6vfZV54194KbmM8zo9dGPfhRnzpxx1o+joyOUy2W89957uH79ustw1el0sLOzg+npaSf8bH+ZRQqAO1dQrVbR7/dd+mOm1+UZnnK57AQslb5Op3OXoLTg0zL/eDzuBCxDQnxx6iz9ft8pWAROvDWez+vBR46FrvBsNusUqGw2i3q9jr/8y7/EmTNnsLa25taVYC4WizkvULVaddllxsfHEY1GnbVc49J5xsYCah/jt4YM3z7RsVNRodVfwRcVmlgshpmZGZfVrVKpoN1uu7mlgkIltlKpOM8eQ9z6/T42NzexurqKcDh812FSPThM75w1HCh9q1KnNKAhkeQv6j3QcVM5VD6h6YdZLL0QPLOvnU4H8XjcHTrlcwoidA/qmSnWQXpttVqOh/HsFYGMj19o/eSlBEy0VtLiTbrW1Oa8DZzhdj5PutKVAlDdd2r19FmZp6amnMC2iT2U7/LsG62nDEHh/tDEJ5rxzca6cx259gRoTODSarWGlHUmI6B398KFC3jnnXfwf/7P/8HOzg4SiYQbd7VaxSuvvIKLFy/iJ37iJ/Daa6/h7bffxgsvvIBKpYKlpSVnvHz88cedF5xrPjY25vYZSywWG8pSyULeRXol+OG+4/PWOKk/FvxYOldjkj5jvagEtwxjJqju9/vOaMXnVPG29OPzCo0yWmrRd1XmWqMe95l6cRU0s36rk6hRRddA58Uaj3R8ysdUnmvddo2tUcfKeWvk9M2dNW5p/TbRj+231Rd8+hoNE0GAzQdy7XP82ye3gvgNv9N1uR8ApPRDPgGc6DuLi4s4e/YsstkslpaWkEqlnJFhe3sbN27cQLlcHlpL/m15F9uy66k6IPUKnRuldXrudd+QVzUajaEwXQIv4JSfE/zs7u5iMBhgenra7duxsZOLXHWefIaDoPLA4KfVauH69evu/5s3b+LNN99EPp/HysoK/u2//bf4zd/8TVy8eNGlul5cXHR3AV26dAlf/OIX8XM/93P4wz/8QxwdHeEXfuEX8OUvf/n/KtMbixKgWuOs9Uk3rzJAq5TwfTJZ3eS2Paus2n4FKfi+xbIAx4Iva41Qa5bd/Fa50uw1FkQpaPM9Y5VO9oXEaPur/1sBZOfHWo10znwZd/RdFYIKUKempjA1NYVUKuUEhqZ+DIfDLuPZ3t4eMpkM4vG4+6ECTQ+HptLN5XJIp9Pu8DzPBo2NjbnD4tFoFPl8HtVqFXfu3HEuWx6gJj3p+qnVTZUhXQ8yFCpkpAHSsMbTWms+w1GA01S3zF5Fheno6Mh5Ytvttkv+cOfOHVQqFXzyk5/EhQsXnGIwOTmJZrOJcrmMUqmEZrPpkjtQsbOGBKvIKA3ybxWY/N9n7VUa4m8NFVTFkbQxGJy42rl+BwcHSKfTQx4WMtpQ6CSZQbFYxJkzZzAxMYFWq+VSX3c6HVQqFXeeURV1jkdTGfuEmtKA7geGLVlBbxU4y1tUwNk51+f4Wy3yuuf4jHoQ2T6VF1rvCLgtvwmHww6E8jmutdK6FsufVfmzAIxWTIaCMHSJ3hKCN6vIWIOO5aPWA2mtoQBcKCkBMUNWNQEA99/x8bELrSQwZ7gg97MCZc4J55BGGeUJHAP/598MO8xkMjg4OHD3Ik1PT+OJJ57AY489hg8++ABf+9rX8P7772N3dxe3bt1yaWY3Njbw8MMPY21tDW+++SY++OADHBwcYHZ2FrVaDXfu3MHDDz+MK1euYGdnx40znU7jzp07yOVyLmukvWuJtMuwOYJH0pRa4nVMXG8F+2oA4lpyTnzfqwzlD8GtTaqgyViszLXFGuRY7P/avvJD3aekAQUGVh/QMGjyFDWO+JR0DY+zii3bU34SpNDr83ZcfFeBK+tVw8aoYvUPq79ZfUiLApxR/eczvv4DwQZuPmt56/2UIL4/ypDne4//ayKfXq+HTqeDQqHg9nAul3Oyu9lsol6vD13r4BsTx6rrp/OtfJi/VT4HFcrtaDTqDC58hwYLen13d3ddVMz29rYLXVaDidLUvWjVVx4Y/Lz66qv47u/+bvc/z+L89E//NP74j/8Yv/zLv4x2u42f//mfR61WwzPPPIPnn39+yHL4P/7H/8Av/MIv4POf/zzC4ZNLTn/v937vQbsysvgWQidIF1CZkA8w8F1FysDdoID1WGGtdfj6GdSO7xn2zwpx/TtIwfQ966sf8HuFrJKi7wN3MwstDzIX/E6tdwrI7Ph4qE+ZFN+dn59HPp93Vub19XW8+uqruHLlCprNJhKJBBqNBgaDAfL5vAt90wPGFC6+eQqFTsI7ZmZmkEqlUKvVhrwnDPs6e/YspqamcPv2bWxvb7vsVzyMaDOiMYyHIIlppynw+LfP86NChkKRoXfxeNy5l3WtyUA51/F4HO1226XyZntMpzs1NYVareaspPSqVatVRCIRPProo8hkMkMhIwrs2CYVQirq1jqvdOhT8i2tKdOmUNGUuZwbWvtIJ0xtnUgk3J0DpAFa146Pj11WOKYUppJLrxDDrLQPqqzqWQWfgqIKP/cb+x7E3O188D1r/FGlUAG0gmzOB//mvPPsCWlK5zsUGrYAqjJGIatKpQoun1Kka2qVM/ZHnydvUBBB4MH9EzTX6mVge0p7CvYsr7b9IgjU+Ts6OnJCm/Ov3kTWz3b5GdtSoMz+ECARMOgZKI6T7Y2PjzvPTC6Xw+bmJq5cueJi61dWVvBTP/VTuHr1Kq5evYqbN2/ijTfewI0bN7C1tYVqtYpz587hE5/4BCqVCm7evIlyuYylpSUAJyHtKysraDQaqNfrLllMu91GKpVCo9FwHmveFUYvD0PeGo2GCzXm3uAccVzWuMXvCUyCPBZqUScPV6WV4Jx8Wu9x0vNmyiusRyWoWFqxPM3Sj+87pTuVvfocz+uoccTSe1CxhhEL7BTw+2hfi7bJubOeZl+b+vte/I17gEZJq7cF9Sdo7keNxfbHggMLFu9V1/18FzTHyvv1HV3zVCrlDLLj4+NIJpOYnJzE9va2C2215xuDjPVWFmv7yptUplvPns6Lyr9YLHZXVkI+o5lteY5xe3vbeYSAYQ+pNYTeD52yPDD4+dznPjey8lAohN/4jd/Ab/zGbwQ+k8/n/68uNL2fEqTMWwvOKKuo730yUQVJGsOrlpp7zVPQ/z7gogSlFk9bhyVSVXqC+nS/aNlaSbUdChSfAuOr3yoivjWw7Wn/9X1lRLq2Y2NjyOVySKVSCIVCuHr1Kr72ta/h7bffRq/XQzKZdMrSwsICzp8/j4WFBRe6AZze20IFSEEz+6KW7VQqhWw260BQvV5HNBp194M89NBDWFhYwNbWFnZ3d9Fut51wVatvIpFwwIAgQdtWq4zP+kGwwnXQlNMEUsDppYVUApV26XrmYfWbN29ifX0dx8fH+NznPodMJuOSQTB7HT1nvV7PxRxTKWNSAfaLZz/s2mrx7SVrANBn+LemJldATuWTNMokFCy8H4nMlgJc9ziz4OVyOWxtbSGbzbq6Go2GOwjK+VXFS/vqY/4KfHzPqwIWZCBRWtA9xPesUNK2VaHgc8zCxbng51QaeQ1BPB53yrldMwXUBEqWt+k6af99ypJ9XxXVwWDgPJjWsKUGBOWJBP061wCGgJoFS3yfirHeos4+8OwggRjnmzLEjo20plZ/FfAE0wRNeoeWAkEWei7C4bA7A5VKpXDr1i1cuXIFkUgE3/3d340zZ87g+PgY6XQaq6ureO211/Daa6+hUCjg8uXLKJVKOHv2LC5duuTSz6bTaZRKJWQyGdRqNdy6dQvZbNbNA63Qi4uLyGazuHPnjsue2Wq1htaetKRA0xp2+Fw4fHrOSgGqAkjSOkMMLc9UpV5/c84sLyFt9vt3n4WwxYLlUQq43QM+UKBzYPmh1RGsYVbbscXHgyw4IO/id9agApzKHzWKWE+b6k/30zerxOo8+oqVXb45GKUYW/li39PfnAfuRco4X7kfcOQrQWO168M1n5ycxPT0NFZWVjA7O4t8Po+ZmRmMjY3h7NmzKJfLKBQKuHXrFiqViluHoJBjq3P6PKhqnNa/WfR8Kb3amUxmKNuuZkalsZU8rdvtolAouAyeDEXVdaSepvr4/ZYPRba3BylK+NbCw/9VsOpmtIwWuDt+1MfMWDTMxAekgoq1KFhgYOsKsuoEtafEbZ8b1ZadS44/CPxofdaioM9bAKGMNIg5WgGh/fEBu36/7w5Z93o9bG5u4pvf/CauXbsGAC7cBAAWFhZw8eJFzM/PO8VcvVh6dkvnlGESVjnOZrPOtctwuFAohE6ng0jk5D6U8+fPY3p6GuVyGd1ud4jRKA1ouJ9aOtkHn3dTBTotrXqI12eFZvgaFXne9TI3N4e5uTlEIhHMzMwgEong6tWrePfdd/Gxj30M7XYbd+7ccRkYz5w540K01FPIvmsojwoQKjVKXz7Brt+pxcnSioZWqUKpZzdoZWJ2PfaX98S0Wi23n9WCub+/j1KphOXlZaTTaXe2jN6fiYkJpNNp95n2TxUJu6dUsbLzwDGo4cVa3VisIUXbscCFe4deCtIf29YEGtbgw/klb2k0Gi7MkcCZgJdJB3gY39KyKkg+HmQ/Vz6hgEyfVZ7H+dYzRixjY2PurAeBBQFNu90eylSo4VHqzWLx3ZTebrcxGAycMqA3qCtw0TWyAJT7X8fPvcM2NSkQ6+T7PJ/IcNZPfepTGBsbw4svvog///M/x8rKigs5mZ2dxRe/+EU8/PDD+PrXv4719XXs7e2hWq1iZWUFMzMzaDabCIfDuHTpElZXV7GysoKzZ8+i0Whge3sbtVoNu7u7iEQiWFlZQTqdxtLSEqanp1Gr1VziF46Xe5teYH5mwz1J61SalDdwTmgo4t9W9vmAhlXs1HtKmlCjSZAM9u09q7D69qpPzmsdQfLbB1ZssUDJ9sH2TZVdrstgMBg6UG/7ZRVhgm4ALgxVk/P4iuoHVgZo/7V/Om9WaX+QEuQ5tPPIPWn5qU8W36+XSYtv/UbJedI6jS+lUgntdhvlchk7OzuOxx4dHTmPrIIS3Ud2HjSs2v5t+bKVwQBctJfuUYaHHx8fY2JiAtls1hnNaGSr1WqoVCoolUous6rua56b5bkhn3fxfso/CfAzypJgPT0+Iuc7ZFQ+ywyVJ18btj6fUs/v7QbX/vsYH3+zbrU6WeXQNxc6Jm6SoA3Gvmvdlsn7LEUWuNxLEbPvUlAHtembS1snFVRtP51OIxaLodVq4fLly7h27Rra7bY7y9Pr9TA1NYWFhQXMzMwgFosNMQZVZNjfIMVM76OgNYIJA6amppy1lCFY9EolEgl3KWSn0xlSqKis6DzYtSIj1kImFQ6fhMuFQidnjGZnZ10K4p2dHed14lkMFSYAHHgcGxtz9wJEo1Fsb2/jG9/4hgOY58+fx+TkpLO2ExCSsTJ2l4zTglVLv7p/2CcFmOFweEhJ0vnROVFQrhYofk/QxwPiqVQKrVbLgRdmDKMln/2fnJx0Gd4WFhZw8+ZNJ4gYSkkF1/aDhf22B5Ct8Fbvnipk1stp95IKHuV7qhgqQAbgLoyjR6Hdbrv2NQUzv+eaUsFUbwYNBp1OxwEgXppJZdauleXbLJan+Lw2dvzWW6rKEetQfkXeyO8IJOgtZZ+07+Q3GsJhQVw4HHYGGJ5pmZiYcEYNe5YxyBilwFiVb2YwVAsugR//1vDNwWCAW7duYWZmBp/+9Kdx8eJFrK+vO68UL/6t1Wo4e/YsfuInfgJf+9rX8Oqrr+Lw8BA7Ozsu0+HExAQ6nQ4Gg5NkChsbGy4BQqvVwsHBAc6dO+c8fvR+aQY77m1dW6V3zhn5JnkMkzvwewXjwKm3RudVf/iZ5THccwRmtn++Oq0MZnY/Kw99cpd1+uriuz7lzhoj+JmPn/gMDFbOK73q/KtyTx7A/U4DAPvQ6XTcXV/K82loVI+p1QN0HoLmWp9Xg4EFB0HANAgUBQFBOz++OlS/fJB69Z1RQIrPBbWhcvP4+Bi1Wg07Ozvu84ODAzQaDZcZkGeZuQc5Tz7+Slmp8tini9nv+KOGOpZer4dms4l2u42dnR0nIzk+end4dpKf9ft9F3ZN4xnPGY+a51HlQw9+RjEUfm8XKkgRAe4+hMiFttYAG37iI4YgoGXrt/1Wq4fvHbU+2TFZsGHHGMRQ7MZTQa5MfNSY+C6FbtDaaPEBTe2bzgf/t2cg1CLHtsPhsAt329vbw/r6urunhAp4Op3GmTNncObMGSQSiSGBQwWCFmtl2FxbrpHe9wGcblYKLt63Ua/XXZjY8fHJ5YRMnJBMJp3bt9VqDQl1671k0fMBlkbYTzK9yclJZDIZLC8vIxKJYG5uDpubm9jZ2XGWVIb79ft95HI5p7iEw2Ekk0mXjWpqagqPP/44PvOZzzhwdHBwgGq1ilar5bLeMUSIiQ90HRWoqoBXpqmfW6CjoFBpUN/RsyCkNQ074pkDAuKZmRmEQidnE3hxJu9NUOMBf8rlMpLJpANKpAcCKF4aaz1WHCdwtxJjE1tYI4mmW9b9oPzGhkjyMw35YpilnnfRfUeLGulaz0sQAHGuGdrFebWA8eDgwIGldrs9dDBfx8A1UvpWK6PltT4Fiko/2yVIVuu9pk1WeiTtA3AZy8gHtE+Wt9M7xjr1WZ177hPOBc+XqHLB91WRV16n8ozt6ZkyBYLkIVwXAuJwOIxyuYxms4mzZ8/iIx/5CAaDgQtDoZV4Z2cH1WoVn/rUp7C6uopXXnkF7733HgaDgTvXWCwW8cEHH6DVamF9fR39ft8Bo3w+j3g8jt3dXXdnmcoU9pXjVA+whhKzKOjk87ovObfMJKgWa6UXy8tVntBKrucprTxXpVv7xrVSA4XuTwuMrez3Ke26R/Q7C3K0Dl+dlmZtG77vrKdT75zTH46TIcStVsslgaExTI0uPr3AKvuj9Ccdl28N7kfvuJ/iAzq2fDvenSDPktKlz9ujRfk730skEpiamnKh2wDQbDaxt7eHTqczdM0GC0OUfXWzXh+tKT/i//eiMcoGNZIy2kDrZKgq9SYCae7vcDjs5I09a6r85F7lQw9+fGWU4n0vcEBGYReV31lQokUByaiNPgoI+er2gTVr9bV9sNaKe4ERZd7so45l1HxaS4XPG2HbseOyFimtxyoFFHYqUOwaUcHj/Szr6+vOas/3eGfP9PQ0xsbGXNYmKky2T9qmMh1uequUqNA9Ojpy54/29vZcuBsvBB0fH3d3lExMTLg0kDywrfNE6wjHrMoABRX7EI/HMRgMMDEx4TxbvPcjmUwik8lgZ2fHndvo9XqIRqPucrF4PD501wbvMopETjLp0XPCdeF5Iio7g8HAKWEUpOyrKghaFPxYqxPnkyBAaYehFlR2NZlEKDTs4Wq1WqjX646JTk1NuQQNzWYTExMTyGQyLhmG/vBCV6Yxn56edqFNHDvvTCJ4VvBDerHCWsFZKHSaJc0qXixU1Oxe0jBNWvvojVIApwCBAIeCiSmHuR9arZajaWbvY4Y30jCftQkuuBfpRbF8VNff5xXUszs6dqUjFib20AxdeuhdaU4BHX/oidFsYz7jkq6ntqP8isoh+0LlnvtMgS6LAgH9jOtDAwQ/p2Kph4/ZB+4DtsNneH/Y/v4+bt26haWlJSQSCWxsbCCfz2N+fh6ZTAZLS0tOeQqFQvjc5z6Hr3/96/jrv/5rFAoFRyvb29sYHx/HmTNnHIBkFsVOp+MuhKZXgHSjae85N/Sa2BArnXuCW9Iw15Uhl6R99Q5bHqM8Qw0awKkHVPepDwDpOQmbBEQt56rg8Xlbpw9QsS6fLFUvoNKMT39gOz7QqcY1y5eC+qH7RXUDrqGes1Ll1J6V45zo3PiUZ/bTt/91vh/UA3C/QEM9Tdrnbwf4+EoQCB6la7Lo3md4++zsLJaWltzddbVaDfV6HeVyGZubmy7jrEZB6NxaQ5RP9th++8CoXVeuE0OK9doCBWGkNYZOUxbR66NGKn3eN5cj5+6+n/z/06JKkVUmuJl9xGSFmgpdq6RYa82ozWq9BKOK7ZdV8OxY7G9F/xbcWFDls5bavihIspubn1sGq4xXFQhlpDpGVQRVwFgFgmtigZtuFiuc9KA1AUK9Xsfm5iZqtdqQi35ychL5fB6ZTAbAqbJDJqdrSzCh98Swvzp+KtuMnWd7jG+l8jI7O+sOC9dqNRePzwxV7BfPG+ga0SKSSCQQiUSGhD2FcCgUcsCGl5hScWXaS45lZWUF2WwWhUIB1WoV4+PjWFlZwdLSkrMe6TkhKizMRkfPEscIwGVKU0XeMkUqiOHwaWieKm48R0Olj/0gk7d7RxUMrhef0/mxKawPDw8Ri8WcZ4tzVqvVkMlkhu5oYvY90nGv10O9Xkc2m0UikXBnhIATzwlwcseJ7gFdS99eZaGSbLPD8TtVLLgnqOzqHpiZmUEymXRhbPQ6KGjiPiJo0H4pP+z1ei5hAcOXSP9qzdQ14ud6nsjH7/gdacNa6/VvnwVe7xPiHlZ+wj2gSp+tH8BdgMSnfGv9qoAqnyKQ1JSy7A9/q5eMtO1rh7yDSo7eN6TKJPugYa/8nDw5EokM8afDw0Nsbm7izJkzyGQy2N7eRrvdxvLyMsbGxpBKpZwB5dy5c3jyySfxgz/4g3juuefwla98xWV5Y5KPbDaLSCTi0mvzLBL5oK6PDWVVetO1tSBIgQX3gw0f1PnTvePbZyqDbJipyjrOq54nJM+y4egK6JhQRq3uVtbZ/cD2fGNSHUGjLBTYaz0WwOk8q9eQz+resADLt39t3aRxronOpa1f+6htalF6sPubIdaJRGIIyHKu2LZ6FyyI1fZHKc+2X6yH/PhexbZlP9f+6VxYgOzrB8Pumain0+kgk8lgMDgNR2w0GkOX/Vrga8do++nzxCk92XkiP9ewUj5HGW15te57n9eWHnryMn5njWb3Uz704EeLtUTwMxartCtz0eeUSC3YGVVUAbBFQYsFFj5FyAd6LHNVRmeVEH2XDOlexfbbKvijNoavXX1HQYJ+ruMI6hMZsLarwp+fk5FTQQeAWq2GQqEwJIQBOHDA2H6rZGvb/Ix1qkLFuVeAoNl+WA+ZpCowy8vLmJmZQalUQrlcHnLrTk5OIpfLuTHSiszzE1Q+CYhoYSaQIkNitjmmpKZyT2WKmZmSySRu376Ng4MDzM/PY25uDgBcCAnDSjh+XTMqAFQkqISr1c8HbEOhkFOKldFbumK9yvxpCdT5V4sx55/KJeugsGQs9P7+PjKZjAPL8Xgc09PTaLVaOD4+xvz8PG7dujUErgmEEokE9vf3nfeHoQVsg4ks9FCpGgl0z5K+KCw0yxjftTyD82AzhzH9djKZRL/fR6FQQLvddvUoGND4fLsWpFufN4Y0bD9X3qQx49wbyqt8/EkVF36nIEOVTc4X94x6QJVX6Hk89RipEmj5rgValh/41oE8SNdJ9496wTQkU+PxGa5FQMd9xXrpVSM/oBeSYbTkEVbJtJZzAENGmZs3b7pMUbxjY21tDZ1OZ2j/RyIRnDt3Dr/6q7+KH/zBH8R//+//HS+99JK7JLjT6WBxcfGus4oct9I410EVIx9A9sl15fsKkBQo+dZV14316DMWkPBZ7aP9rXSl4bl2zpUubLs6V7Zdn+FIx2D1ATtW7nPlOey3ymUFJxyDJpugJ9j+cL/x7Bl/CPYUCGm7VofRObDzYvehPktPow/oUIFWBZn1aVivFn6nyrrqIHYtR+mHuh5Bz/m8GHYNg7xMVmfhReW8coIJEGh4VXChxSd77Tj4nO2zjx7ZNwvmfSGgrI/8k2Oh/CM9cS+oN1vbe9DyTwb8WETP4mNklgn4wIpaS0bVxRLk7bmfhbEbzL6jCoj2XS3lVlD4xuXri45pVByxD4DYPgYVq7RZsEPFxacU8bePQamg06wn3CTtdhvtdhvVatUxNFpSec7Gtm37qgoiBbgCIrbJPlEpo+JCUMIfvZODcfhnzpxBNptFuVx2B4739/dd2FssFnMHFanE04LDOzNYp4IyDWFqNBqOsajAopDq9/tIpVKYmZnB4uLi0LklAggqWQBcGmsWBUR6mJvChTSk+4Tv0JKjnjL1YCidqHKpZwQsrVPg6eWRDKnhBY5U5jKZjAs5PDo6wtTUFPb29lAqlZDNZocuadQQLIKOvb09562rVCpu7LT2MoxGD4D6jAIKAHxCV/e+7kk97M7wM+AE+ANwYNieF6IwUku2VTyswkYeqwJJ+8NQv1Ao5OhP+RWf9Smo2o4CP6vk8X9aenlGQ8Glzm2QwLb7WH98Sos1NpGu6QGztMrPCG7YZ/aX9M4wSYaEAaf3TnH+GU7k4zf0Ots7w5jEwDcOFtLkYDBw2dnm5+dx8+ZNHB4e4sKFCy4L0/7+PmKxGDY3NzEzM4Pz58/jt37rt/D888/jj//4j3H9+nWEw2HcuXPHpf2nkYY0zfFxDnQ8qhBx/S0QUEWc66ifB9GV1mfXiTRg/2Z/rGeNddqkCkpbquRpscq5712733Ucyhf5vW9ddV6sXNWxk36VRvS8KX+63a67z8zyLI2oAE4O2TOkm3KaZ4asgViBpF0TXUOVIVoou/b29txn1gCh86B9VnA0Sk8jGFRPhNZr55SFfbbFNwf6TlB92i4L9QteYsyMsjSwNJtNFz1iPaX38oqOKtYwp8UCSyv/lb9bme6TOzpu68Hzzcn9lg89+LHCyGcp1cX1LbTPkmC/C3oeCM7iFrQgtj19L8i64OufD71b96haWnzMWP8fheaV2B+k6HuqPNkxBm0mbd8qf1polSKYoVJRLpddnngqE8lkEslk0sW+a/plZYQEPhZg2bArtWpRKaYXgBfn6QYnY6CCHAqFXMrHbDaLvb091Go1Z5E/PDxEq9VCPB53yoMKHZ1LK7gV5HB/kBYUzIXDYXfmpVqtIhqNulAwnntRN3U0GkU8HncXp3EeBoOBU4yj0ehdVl6us4I0WrQZA8yzQhSatBhTWKllVc+pqLDhGhHw6FoWi0WXbpe0wPFQeExPT6NSqaDX62F6ehq7u7sAhs+aUKnlfQRnz551SRQ0BNKm5eXYlG+xbzpfLNYgQtBJWiVYpCJJEKSeAw3v0To5n1bhUoOLBSH8TPtKmqNyYS36uq/VO6cKrxoPuI8sr+C82RAinT/OL+u2QlP3KudM67ZKlg88KK1pKLCvLb6rSjSBG+dsbGwMtVoN0WjUJR1gn/i3nSvOV79/krAkHo+j2Ww6erAhI2qY0L5w/Pv7+9jY2MDa2hpWV1dx5coVdDodzM3NodVquSQJ9G6m02nMzs7iiSeewL/7d/8O/+W//Be8/vrrQ3PRbDaRSqXchYsKMDgepT+lQbsWCig0TFnb44+19qsCy/+1KD/3eZBY7gWa7X6z9XLtgoCJyu0gWtL37B5UerN0YoEV3+F+pSzgc1SqNXGG9lFpWdsn36ZXkeOlnGAdul99hlWrx/jAjwI0HbuCJo5Fx67y2CrSXEM+o8YNX1ikroUdg69Y/c3yWfusTw9kP9UASc+b0o8FOr5QSharH1qa9PVL+aClCSYpIPhiX/SqANVXfHOk+0CNyLY9/v8gIOhDD35sCVLufQton+ckW2E2ChFbwvRtBt/z+px+ZsPC9DP93FpCLNMEht3uyoR9BKIb2zKCINARtCm1KNO3c6Lj0g2gY7DgJwhcKhNmLHuz2USpVML+/r6zvvMwJhm9xqGzPVqp9HB+p9Nx8e1jY2NYXFxEMpl0DIfzzcxXvOeCFrNUKoVUKuXGzIwsPBjKsLy5uTnnBWLaWFq3Op2OU+ZVoVdLjwp+66ngPPLOH1VAGUrH2OB2u43FxUVMT08jm806EEbwp+E5kUjE1TcYDJznymcBIlPUcAQN1eH9SLwVnpZInh/genW73SGaVssclV8b/01FkqEA/X7fgWDOIb1bU1NTDojyd7fbvcvrw3FVq1UsLCwgm826BBBcH019q/1jv3RPc45UWVHhbcP9dKz8nMkGKLgBDIWgsF0FVVYxs7zLp4z5DCoEwzy/Rm+aCuUgYWqVVuUd2j8FbD5liEKfNKm80s6dVcCDPAf62yoker5J50+VXu2vHQuVxcFg4JJHJBKJIfDGtlU55148PDwcMozwWfWuWJ7KsVvQcXh4iPX1dSwtLWFhYQHXrl1zZ9mKxSI6nQ56vZ5LMdvr9XDmzBmsrq7i+77v+3B0dITr16+7e7PUyhuPx51Bpd/vOwVIlUirUCpQVmBLerZn1FQptbRBXsU6goCF0oKlT63XykKVXxy3bVsNUvxcDXsWcCkY0T7yN41+On5L43Zu+a4djw1VtGBB+b2Owee9oTzSvWojSyztWa+Kz0hq10uLjtPqdVxvBUHaH8uXaHDgc3btfDqNGhKsDmX5px2/LdbI4TN0K9+3Hm81sLIeGlk06YrVde+3KK+2hXyB2T1brdaQgYl9Zai5XYcgEEgdxCdDHqTvLB968GMFlQoMuzCjJsgyifstJExb9yjgYxfNMksfQamg1rpYrHD3WUwtQ7Xv+5QZ2/69wKBaNYKe0znT8et82Hbtj2UuVLIIQGKxGPL5vHPBE0DE43Hk83lMTk7i6OjI3VPBQiWEgoAKye3bt3Hjxg1sbW0hm83iO77jO3Dx4kUHkgg0yuUy7ty5g93dXeeGZnIBehnIgFKplLuNWc+T0Go2MzPjvBTVatUp32yTDIhMRi2WKuitlYVzRHqKRCIuvXYikUAsFkOz2cSdO3dQKpVw5swZTE1NIRaLAYBjQARSDL3b29tzFxzW63WnICnA5FzT20YwyrC6VCqFdDqNqakppFIpZz3Uw/0Ahi7MI41o6B3nUmmb42T2GAJQveAyGo06y/bc3BwajQbC4bC7+JT0R8+Wns2pVqtYWlpyqa85RzyTooey7T6yoZf27JK1jts9pkof39MsfZY32JA1rVOFuQUObMunPPmsuNaYw3r1b/a93++7tOhMLNHtdtFut13WPGu5VCFslSnOD/tllS/2w1qKdW4tYNM67d9K39yDyt9UOVWerPHsoVDIAXMaAKyCrJ7ncDjs+BvDYn2hhioTFYgSpPb7p5kD2+026vU6FhYWkE6nUalU0O/33b5htr/BYICdnR0HdjKZDJ555hmcPXsWr776Kkql0hB4Z6KVZDLpgBrpggomFScfnSttMpW+Td1r6Yv/q2xXA6cPFCjfsEBHlXylf+2DRgvoXrHARr2ktr+UA1ZuW0OoKq+cPwvyfdZ+zrMPWHGO1JCg47f12DlQuaIhj2xHPUXKF9TgY3mSfdbqavZ/qx/5zvbYUDvd3xybGqPUGGojLHROtT++9pSXq15l59fqTz59ivvQfqaGEM2caPk1DSS+dnz8z/YzSB/TOSANkk/ze+pFdl0455ZOLC/06Zg+3TaofOjBD4sPvIxCiPpZkKWIz9n37XN2w90LPJER+vqq7WpRYGSJiwheBaSOVcdn2wjaYPdDQPcDEq2CZ8di67JMw24+W1TI9Pt9zMzMYHp6GjMzM5iamnL3uFy/fh3r6+sAgJmZGXdYmIqpzn+tVsPW1pY7M9FoNFCpVJySXyqVcHx8jFKphOXlZUxNTbnbk3nD+e7urovj5xi63S7K5fLQmOPxOBYWFjA7O+vAEa24sVgMq6urLp63VCqhXq+7xAiq0JGR0YsCYMiDQAuchkepgCX9NJtNB5Z4d0+tVsPKygpqtRomJiawsLCAVquFW7duodVqYWNjA6VSCcVi0d3IrLe3q/DXM0fqmaBw4bmUTCaD1dVVrK2tIZ1OuxBBjuVee43t0cJMxYB3UBwdHSGRSDhFjJ7ARCLhLjHN5/NIp9NoNBruHJCen2FfCGqKxSJyuZyjOwIsDenz0S/pXK1zekjfp8xZMEIeoGtsAZOCnnsZGfi8Wnt9As7uS46H7djQK1uowFGh5sH/dDqNcPjk3N7Y2Jjzplk+yfFpmJFmErLC3vI3O7e+ftp6LFDScxg+RcHWo/MNYAh80ANKowyVfI7LjoW8i4eauV7W+EW6sIouwRTbV4Wv3W4jFou5FNVU+kjL0WgUc3NzKBQKLiw3nU7j7NmzCIVC2NnZwbvvvotqteruvGo2m+h2u0gmky79OmmdShuBr01ZznErXdJzpODfJ+P5ru/Mhr4XxE/UqKLz63tejRwWFGt7NJxYhVvBjO2D0qAFU6rk6rPqGQoqOg41VPFz0rMF1ronlb9pW3rJrvJuW3R+ffXYZ3XddU7seFis4dgCD9ahQNuutfbRp6P5PFT8rVnhrKFI3/HxWTtnOhb2M8jgbEP8uL+BUw+XT8+y9KafWWBk9xz5o9KjXacgQ77qCr6waZ8uzP/vF/gA/wTADwessZ8+ayNwt8XRCjMrGEdtPB+B3gsMKEiySo2NUdZ+aRtKCKpU2jH6xm7HPGqcPvQ+iikFKSVBG9JH8D7LjU9Z8IFNKvdLS0t46KGHkM1mkUwmHW1MT08jlUqhWq0iHD69QdiGjTUaDWxsbOD69esol8tD85BIJJDNZjEYDNw9GAsLC5iYmEClUsHu7i6KxSJKpRKazeaQh8QyDPaXIXLXrl3D+Pi4Uwp4cJxprWOxGLLZLGKxmMvZ32q1MDY2NpR2WEO/VDhwT6jwYV/C4bBTMvgclRKmad3a2nKXIgJAtVrF//pf/8udBWCYmwoMX7gm54IMWedGvR2lUgnVahUHBwd47LHHkEwmAQx7nZTWqJSxLlq0lBccHR2h2Wyi0+mg3+8jk8k4azmVFM5np9PBwcGBO+8QDoeRz+exsbHhMgtxz3K+9/f3sbm5iY985CNIp9PY29tz3iGuN5VbYPjMgIJAhgNwbKps+PadWrKB0xA3nSda9VVZsMYSNU5YowKfUz5iLXBK67627J4nrcTjceRyOUQiEedd6Ha7SCQSyOVySKfT2NzcdPfN2NSyCkRsf9iGBQ1BAEX7xvXQolZ9206QgcanYHHtFLBxnphinuGLvOiP4YQK+Aiwec7QKjCkTwuy1bKvv9U6DZykzGVb7B/HS2NLOp3G0dER2u02MpmM20OPP/445ufn8fd///e4c+cO+v0+EokEjo6OXMKUWCyGTCbjQB4vB2bIIsOIacTiPKoiHQqdhi9zXpWWdY0UJCsQsWus62ONBcpffTTkowkrHy1QZlGwZA2CHJfPeMh6NDyLY6cxwO5Z3RdK55rFUcemYVQsOn96rsoCTe2H1UNYj9KeKssWXOm8Ky375tenk9kQMe1j0HNabKiZNS4rzVnasEYka3jV/ittWd0oaO2s4UMNM1q3hjgGeVB84E7Hx8/sMwpY2AffOgSBGvu3NeL5eFzQfI8qH3rwAwxnl7AZqFiCJsUHMPj8vcCBBQY+IvbVp++QWG3bvveD+h8EMIKKBUt2o/n6rZvPt1F8jNwqSr5ihYBVNljseQWtk0prr9dDPp9HPp9HNBrF5cuXEQ6HMTU1hUgkgkQigXq9jna7jW6367KkhUInZ14IfiiYmQYbOLWq0dKfy+Vw9uxZzM3NYX9/Hw899BDm5+exs7ODW7du4fbt20OgQOdWmaWG2TErmzJWCqJw+CTELJFIuAPEDOtrtVpDHhs9YEilXzO8WcatnhF+1++fpBAOhUJOGUulUpicnHSeLabVthZ1q9yz/yocbHpmtqtWqkKh4Dw0H/vYx9x8WI8Ex6ehimqhJn84OjpyF5tOTk4ilUq5cymqIPAw98HBgUtFXqlUkM/nUSwWh7JwWYsWU6tPT0+j2Ww6zyKtbUxfzj6SHjQMyCoEVtliuzbUhsoJAaICXrU2K1/TkDi2STDF+VWlywd+dF2tF0R5hw8o8QJW0hwNAq1WC61WC7lcDrlcDnNzc+4CU9bDsWoWPV8JUoCUf1gji/1t67HC2dK7tZjzb7bB/1Wh499jY2Mu+yAv402lUgiHw+h0Oo4XWTqMRCJuPhhOapVoGgg0ZMwCbNann3O9lHeR/tLpNPb3952niB6cXq+HRx99FDMzM3jxxRdx9epVHB8fO4NDp9PB5uYmut0uZmZmXCgyvasMf+Q+4B4lSFJlWZVq68mx62vp066j3iFnLfSUNfp9kPXe14bqDT4jntJJkCy1n2n7mijD8lb9zBo+9B3tk+4rBVW2f+w/eQXBqNKX1Zk4BuU3dp70zBA/5/zrXXJKv+S11AW1X/yfYwlS8O34dC5Zh86rb4/7lHELfFiXLVwj3YO+80YW7FiQYMPNte6gftl+2LopC6xhicXyFAXbuqa2+PYRx8j++sJE7zWGoPJPAvywKENS5sziQ6n2fSXwIAL2oXSfsNTvbR9Zj48ItE4Wa4lUArZ99hW7oW1flTHZ8QPDbn/fZmIfrVKk/deNqhvHB6Z0LFTkfIzEbuQrV67g5s2bCIfDeOuttzA5OYlLly4hlUq51MaqBNPrQwFbr9fRaDScgLXzTgWM4WBMBsC4+2QyiaWlJYTDJyFdtVoN/X7fZd+yscc+hUrnhZZwrg/7FovFcHR05Lw+7XbbZWLSM0hUFvi5joOMm8KHc0nhpUyHFtsbN25gY2PDgS1VftV65wM4rI9tqUVIXdzK6MrlMq5evYrz5887ZU6fUwOCfmYz0B0eHqJWq7nwKXrYOCf9/kmyBeAkFjmRSDiAPDc3h3K5jMPDQywsLOD27dvubJACDI57e3sb8/PzyOVyKBaLzlNEUJpIJO4KvyHN+8JySCdquVaFQUFSNBrF4eGh8yABp/HuViipAq2KEddf49xHZdei90F5iuVrVF71HEM0GnV3bbFvXA+e1eN5NgJ/XtjaarWcIqr7hj+kTRW4qmxYpZHjURCi8wwERxJY4O/jtbrOSuO2Xtah6YN5Hi8Wiw3xfFVCuJ808YjlYeRDqrQHyR/Op8oFesm531Up4xrSYzc7O4tms4l2u414PI5PfepTSCQSePfdd1Gv1x0P63a7uHXrFkqlEnK5nKMHKrdcK9IX5QD5hQJhpV+O166V/c2iBlR+p1Ek+o4NC1NgZEGiVc4tALC0YZ9V3uoDc9quT39RXcha7JUGlE9zTZU+LYCyniS+w+80w6X23c4VP1OF2OoiCkItbSo9+ArbYEinBVN2vn2AiIBc+YsFgD69Uceic6n9B05DdpUn6dz4eJXSxb2KTzfUftk6ggzVWuz86f+6j5RHKG/TvWHbVDqw4MqC9v+b8qEHP5wgIkINYfExOFt8C63PqUD3WV187dhiic5uLn3mXsRsmZi+q0Th23BBliTtkw9I+SxFvjH76rMKnBYqGtZ6ETSfdq6tch2JRHD58mV31gYAms0mbty44d7h/RNsl4Ck0Wig2Wy6u3Y0nISH+jmuWCw2lCGMwKDdbmN3dxe1Wg137tzBzs7OEAChwkcwwnM7ykg1XEFpezAYuDCRaDTqLkYdDAaYnp7G/Pw8lpeX0el0HLCjN0Q9QKoEUrhrPL+2TYUjnU4jmUxid3cXOzs72N/fHxKoBExUCqw1TOlKaVdp2e4xVUJv3bqF7e1tPPzww+h2u0OhZHxPwx4UKNAKGAqFXHprehwmJyddwgOla9Ii71fiHT57e3suCQOt06pYcuwHBwfY2dnB9PQ09vb2hjwye3t7Xq+Db49Yy5+Pb9jn1GPJegl+NNUs51/3oO4jfkf6VWUc8F8SqvNneRLHyz6Q3rh2bC8UOjl3lclk0Gq1UKvVUCqV3CW9Nj0994a1WFur6vj4+F0Kn9KmVUY5Fkunqvhbwwh5jiqDpBELGCyvDLLEMhlItVrF4eGhS0evYYzWoxuLxRx4tGflCH60D/Zv1kseqPfAcJ/pfWV8LpVKuXORXJft7W03jo9//ONIp9N48803US6X0ev1htLp8zxeIpFAv993SVAAOEMVaZLtE1BrKBJ5JufEyjeuja6hKvWkRV/YLudRFTcLTJTu2E6QLmL5oa6NtqtGKh9P0L2sNGRBEt/xARIF7tZQwvcsn1Ca0fOjfNYH9HRM1oth54g/VplW3ka6tuBE5SppWPe6eqhsHyzwtF4sTcLDe818/NlnoGb/rXFei3p5rDF/lDxQWWDn3IJxXU9rjLZ1+8CJ/d7yRdsnyz8V2N6P/qdtB8nCBykfevBjF5FWIA1/870DBLsbrUC3Ex1ktQ0qth4fM7zfxVRrjo7FClf7jt0Eo9q0DEYV2VFjuRdAtELeWjt8xbep2B+rKNKzQ0Wz3z854F4qlVw8fDgcRiKRwNTUFNLp9FDokYa8ERjpWvO+nn6/j9u3b+P5559HLBbDwsICpqamsLCwgFwuh4sXLzoGVKvVnPKhITrhcNgd7LU0bOeWIIZKezgcRqvVQrfbdQeTi8UipqamMD09jVwu59JN864GAEOH9EOh01TYZKw27Kzb7SIej2N2dhapVAq3bt1y1mMVfhYkqzVex2VpzjJUZfDAKTjrdDrY2trCRz/60bvoUt+nECLYYFuHh4fodDpotVo4ODhAr9dDOp1GNBp1802aUgVIzydMTU05b9f09DQ2NjYQi8XuUmKpKG9ubiKXy2F2dhZbW1vOOs5U4olEYmjcOi72x1pJde9b5Z7/j42NYWZmBv1+H/V6/S5AqDRm+aC2TdogyOA5JM6TKgaWn6mA8ilBpGmuFZUbtkUPFpVq0qvuR/XsWKWPfbB0p32xwFst4D5eaefZ0rFPSVTjglX07HwrcFIAx/9zuRyq1aoD4HxfAS2BKgFTKHR60az2LSh0yfJ29omK58TEhLPaEoBwfAxHPDg4QLvddoqhAv9oNIqzZ88iHo/jH/7hH1wIKT16vC9rcnISBwcH6Pf7uHjxojvnSA8qvUzcb0yrPTk56YAQ18zStC8Ul3PJve8zniothMOniVr4roIfqx/oM5w7XX8WDf20a6L9oTzR7zVs2bYXpFj6AIyP/q1Oof3Qtnw6l77v0yPUk6jtWt1EwYAa6QhI7JyrUh3k5dFwb33HjpkGAOWdyrOCQsuUX+t4de61v0Cw8Zv9DVoX3bM6Zs6LAlK2o3xA51TbsOvh0wd1PyltqOyxV25QT1PDjOomCrytsf8fA/gA/wTADwuJiYvoc61pGQWAgGEiVQZm2/QBJB/zsvVYJkBGaL/TNi0os+PzuWz1XWW2vrp882O/twx71Jhs2752fW1rUWuXKg9W+aCyxtA1HlhnCBBvTAdO3NiVSgXNZtNZ/3nRpYbgqBKtgiIUCqHT6eD27dsIhUK4fv06QqGQO6CdTCbd/8xedHR05M4xMIyFDE2ZhGUq4XDYhcwxEcL+/j663a6Lr+c9OIVCAfV63R0Sp9WU9wNxDn2WX7WK6zxfuHABFy5cwNWrV3Hnzh0HHhiCY9daFUrrSfI9x7Hq/2rlHBsbQywWQ6vVcl4Nm5yB60IlaWNjA7du3XLpwp988knU63WXga1cLqPRaODChQt3JTtg3ylko9Eo8vk8er0eisUiDg8Pkc1msbW15YSvXUNa5be2tnD+/HmUSiUXosiUv1TUfPRs10YFM4Ch9ixwJrgfGxtDs9kcqk/Xwqewc+wawqcWT33OKiqWT9l6+Tct9WNjY24OBoOB88BSka7VancBNYIl0gfpgR5a27YCFh2T7mVVBlR51Ln18VvlBb7PWNTTei8lzydD2K/JyUlks1mXPp77T0Mc9e4yeqqZoZBj1zH59q+uJ+8D47h4VxrXisYAAh5VuPr9vjO2cO7Ig3K5HJ566im89dZb2N7exmAwQD6fx9HREYrFoutzIpFAuVx2Z3BowOI5INI6DQm8oJhAXedb27dAh/Nsz8Ww8Bkrp6wRwa5dUNF7z7RYBVx5sSrldu8qnVjLvz4fJNM1/FjH5uuffd+CMt1TfJZz5Bv3vTwGPtmgPIS0qWdjbX1Kg+pFYv8UuNpsmDo+nwFEPSf6vfIF60Ej7VG+UQ6Qv2iCHIICnTulbQVX+rkCK9WLfbzZJ5+/3cJ+RCKRIZ5sDRGcB/ZZEzZxvD4wHbTnvp3yoQc/QQuom4XFB0rsZ5YxBLkagwQYn/UBJf3t22BBgtAyMu0P/7YE4Xuf8xEEdHz99Y1x1PPKdHwKrn3HAkvd1Cxq6QLuPv+k4RydTsdZ+bl5YrHY0Obi53yPLmwyLF7CqZtUx0BmQkWMYR4EVepZ4bsUyNaaYZmXMmhavhm+wrTMrVYLwGnqTKZG5txUq1U0Gg1Eo1Fks1kH6giiKOhVIWS77DvB29LSEvr9Pt588028//77SKfTmJ+fd2BB11QFtSpgPqu80gAPSNOyTOWeVv/9/X3cuXMHnU7HeVt45mkwGGBychLNZhNbW1t499138f7776NerwM4SWu+tLTkPHr7+/suUx7DwziHBFZ6TiqdTjvF6ezZs3jnnXccIGIblj45f1tbW5ibm8PU1BQqlYoTYDwjxoss7d7Xwr3rswyqgsTneLnv9PQ0wuGwW2/LL4KEB/eAVcQPDw+dN4FrbYGyggdVxFTB4GfqVTg4OHAZ+PgshbaCLv6vdBdkdeU4VYlTAcyiAljHomBRQ5csvds97AMVqgD65Ia2ZdeYyt7R0REymYxLva6GgXq9jlKp5C4B5N1iCiZZV5CBiv3gb/49OzuLxcVFdz6n3W47L8/+/r4DXAT85I0KJA4ODtx5OnrnM5kMPvGJTyCbzeLg4MClwqbxYGlpCR/72MdQrVZRLpeRyWScx6Xf77uQyP39feft5pUA7Xbb0Ret9jwHSfq2FnIqXDoPQeup2dB0P1i68vE+0jWLNc4qAPJ5M3RtrFKueoDvR+nKGtp8epBPP9HPg4wFHD/b0X03iu70Hc6NgggtGjbL/y1YUjCggFfBhq8vOj6rh6ghKBw+vefOJwdp2CH/4Nh8ehHpU/mjylE9A6l8Vz3ganyx9GeNkD4wbHmWj1f45IjSB+fZZ/DRZ8mbyF+tN5rjsmswygj+oOVDD36CNjqLCh0VxrYO+78qAHbzs1jLpLap9VpCs4xI6+Pi2g1yP8WnSFnGZ+v1gTGtz45F67X1KIHbtlisIqZt6aaxbeq62RhdMphMJoOJiQl0u13U63UXmkFlWftMwMNsXOHwSRhaPB53IIGWVT3Lwph6hmbQC8I6qaxQgaYyzcxy2m9ufI5JD6ZzzQjO0um0S9qgMe/8redfKDCY1W58fByZTMadV6FHjP2wRYXQX/7lX6Lb7WJ3dxexWMz1Lxw+yTzlsxDSamP3jN0Duq+sJU8V3Z2dHczPzztLtJ4PmZycRKfTwcsvv4x33nkH9Xod0WjUhdF0Oh189atfdUCRwPHw8NBlxOI83rp1C1euXMHy8jIeeeQRNxcHBwe4du0axsbGkM1m0Wq1HKBR67bOHTOu7e7u4ty5c6jX6+78Fb/XFOVK88qv7D7QZ5S/6PrXajVMT0+75AcqsDW0xvIznXsV/qQn9l89KbqfOH7ucbUEE8zyXX7PLGFBAJDvcr6oEKjXjEqJFfCcG99cKh+2Col9jnPgA/H9fv+uECgaF9ST6NsD2g+7pjQIkI8MBgMX6lqr1dy9Y6ocsR1Vthhaq4XP2D5YHhsOh7G/v49CoeAyr1FJIajmftLQIM5Zr9dDq9VCoVDAwcGBO8sVCoWcQWZubg4HBwcu2+W5c+fwhS98ARcuXHBn63iOqFKpoN1uI5FIoN1uO15M7w95QaVSQaVScfez0fBB/s555ZjJ/30KPddZ14eJSxTgWa+fDzRZuqas8AELGr6Urnx6Q5AHycpyBSCsR/ew1uPTC4K8SsqDfPxK6VFDnyzP0z2o9Kv0qXqG3U80hPEzn26iSvaoddF3dV19+7zfP/Vw6lzZPefzQpEvaxSI6kCRyOndd7FYDOl0emhNgLvBswW1OpdB/NXncdPf2mcdi/ZFDVcWdLEPyvc5PtKhhgYrnfn05KCxPGj50IMftSyo4LFKOHB36EcQQ7ET6wNB2jaLEq0WMtZRB9xYH4vvefZZ47yV2KiA8Lsgq3wQ6LECnuNTVK79CwKHQYQ5GAyc0qJrZq0dKky0D3YeVAmmVZ8XWGpYkQIWxplSYVBLKXCaEKHZbDrgwt+0eLJtCi/2geFtzNCm2a04DgWh1vJIJqBzSiFILwGtu7qm6iZXYcxnGCZXr9eRTqcRj8fd4WT2lfPK8QwGJ16EarXq5iYWi7l55vdKAxaAqaD1AV7LqHVPck0jkQja7TYWFxeHPGp6IeSNGzfw5ptvuvMDPCdEz1GxWEQ2m3VevaOjI9y8eRPf/OY38cgjj6DX66FUKmF9fR3Xrl3DrVu3kEgkMDMzg6tXr+Ly5ct4//330ev18NBDDzmvUTabRbVadR4rero0g5pmftvc3BxSZpmUQj03PgXbxzfsniMdMAyJa81LZ60SYwvpUS2q5JUE5nwm6OwEwQzTEGuqeNIj+xgOh92ZNR0rranKl7nmaq1nf0gjyuP1XT2XZg0rPhBu5QPP7SgA0uc5Z9yT8XgczWbTAXOfQqh70yqN4XAYqVQKY2NjKBQKqFQqLtnBwcHB0K3oqsAr+OO+tskNdK6V71q+oeE6BPH7+/t48skn8dBDDyGdTiOXy6HZbGJ/f99lwyIvGQxOLiidmJhAJpMBALzzzju4efOmC93NZrOYmppyMmFmZgZzc3PufGGz2XRn9Ai0EokEzpw5g0gkgpmZGWQyGXcuj57Jubk5XLhwAeHwyQW59ATt7e25+STYVjAOwNE1110BtvJtq+TyEmMW5Xu6P6xFXOlBDZ4KnPksf5Rn6m9Vxn2y3SrdlCtBfFr5snpXLahSvq/j8vWR82jfHwwGQ/LeB150/+k8+kCF6hZqXLS81PIYC151ffidrhHBiX1e+2XXwedxVC+49WpYUGAN40qjQHAGYwv4rJ7n05e1Dvs/eQbrV92F60VjFY3EVne2RXmR7advPkf18X7Khx78qAWFTEMZFJ/RzUEmz0VXdKzv6UZWphKERlVosN0ggrN16zOjwIMFAfobuPusUhB6tgANwJBw1OIDU7b/PsXNV0+Q1cCOU5mlLWql43O9Xs+FSDQaDQc86Crm+YdwOIxkMol4PD50q3y73XbhcirM7DipeHW7XUxOTjrrPQAX/haNRp2HRi0rShe2BG1oxrBTuSa44/pqmm4Fiuz3wcGBc6kfHR2hVCphcnLShdAwrI7vavgKrc8A7jrcaYEy118VchU0PmBsFUn9rt/vO+WZigz7XSwWnUXszTffxF//9V+7czS9Xg/NZvOuM0lkwoeHhw4gvPPOO7hy5cpQFrxYLIZyuYyvfOUriMViqFarGAwGSCaTKBaL2NraQjabxf7+vjuDwXGQj6j1++joCNvb21hcXHQprvkcLffW+2OVF2udY199CjtBQqfTcaGEXF+7Djo/1qqrz/FH7xBRAKTKN4EP6Y2eVM4/cHo5pyo7FOL7+/sunEpBgo5XaUTnScfFotnllFbt36oksQ4qOFYh4/MK+mKxGJrNJprNpjvzxzVQi7MFLGyr1+u5y3Vv3ryJg4MDvPnmm4hEIpidnXWe43g8jlar5YwCnB8ADthzPrkHdC65n3lWiACAtEHvMw0HnFumpH7hhRcQjUYxNzeHXC6HpaUl5HI5xGIx5PN5t86h0Enyg4ODA8TjcXzXd30Xbt++jRs3bri7nQaDAbLZrAMxY2Nj2N7eRqfTcbw5FothamrK7RHSXigUcneoMQPm8fGx2680gmSzWXdJ9MzMjAsbvnLlCorForsCgHtVwbKGv9Kz1W63Xfsqa5WWSCvKh/m5zS6m9MS1tLxQ/2aSFhbrKVCdwAdAVFZYA4AN39W9oZZ9C/5Iv8qjgnQTH4BS3qT98IEgO692ftnPIM+B6nGcP/tckE5mwZGug/ID208FKGoQYvGF9VudgX/TEKU0p3yPe98aXVWGaF8VxNh1s2tl55p9oq6g/Fj1E7bHtvRZHZvvbyv7tG3bpwctH3rww2KJ0TcpSpi+Ta6LbN/3WWy0WIXdgpCgeoG7c+r76mbRMxlav7Yd1I6vTh84s9YUtRTpO7o5lGH4mIU+55t/+3wQwNQ+ct4Gg4E7JN1sNl199HbomYJIJIJ4PI5MJuPuekkmk44BMIzDAmIdl1prGL4Rj8ddDDrDQzQdM5mQWk3s2gKnXhylUwoXxtuzUHlWxYrvUYlRTxfboqerVqshlUq5eHoCNrWQqXKsIVt6gagKQsss7frbNbSfWyW+3z8JK2i32y7rGq3j9NgUCgV3dmBiYgLxeNwBGj2wrYohFToe2qayRy9hrVZzqbEZRtfpdFCr1ZDP5xEOh50Hrd1uu35bYdLv91EoFDA1NYVMJoNKpeIUZgJTBRFalDaswmP3Hp+lktxoNJBMJofCBPXOFy1cI80mxHZU+PBzWuLV0MRnSD9MJd7r9Rx4V56oe1f5BkGTAnHSfygUGhKmCrCprHIuJyYmvGBbPRw+HknaV55kzxcoaOn3+9je3sbKygp6vR6uXLmCfD6PpaUlNx/dbveuNhUwUiEaGztJ+fzaa6+hUCig1WohmUzizp077l4jeoEZ4suzavRscz245rS60uvZ6XSGrLSqBHM85PUEKePj40in0zh37hwWFhbw+uuv486dO6hUKtjZ2XHvT09PI5VKIZVKIZ/PY3JyEmfPnnUGFhqLut0upqenHUhU3sO9xnH1+31nkNJCOiPgbLfbQ6HM7BNpkXN/7tw5XLp0Cc888wy2t7dRLBZRLpfRbred0YrrS2MgMw+qV9MHtrkHNaOnfsfv9cyQ5f/WgGqLGuVIm1be6o9+Fw6HnTVe+bauue4D6wlSUML9xM8tSPHpAHoJtdZLUMi/rXHQp0NZwMk+81nf90GFe5PFB9AsGKURVHUBa0wK+t8CJHrgfPSiOodPz9K+adpv9RjxO5VJ2s796LS+79gvpSWdG/bNZ+wl7+Z3PpDDvmrR+fDVeT/rzfKhBz92E6vyb62dWu6FaEc9py5pfYb9IGNm/7QoAtY6rcfHKt4+wg0CSkHMx86bLb5YW61XFWJLaD6mq8WnBFtApO1ZIKUby84lAHc2hlnfOp0O9vb2XHYk0gkvOO10OshkMsjn8+7G8WQyOeQhUOXLjpHnP+bn55HNZt3B483NTZdsIQjk+MACx0HLHpkYFXXWyTM8tLaoy1wVRGWIFlzwc85TrVbD1NQUUqkUxsfH3bg1RTbDW8jUFGipN8OuKedNBWmQ8NLnCepId5FIxCl5e3t7CIVCuHbtGorFIs6dOzd0iSmVcg2xAoB2u+08SFSOgdO7QnR9aEmmYkbLfKvVQrPZRCKRcGex6vX6UNw36xgfH3eejFKphIWFBUefpF09+6N0HiSQrCJg+QOBHGlKMwJaqyffU4Cte1HpkutsDSMMJaUSz2ei0ag7X8ZzJzZEwxbWyXf5GelQLZ/0TjDLmXpU9DcLvV9UkEn/CnaAU0OPVcYUbHFfkzauX7+Op59+GvPz89jc3MTm5qZT3pkVkHRMrzLBufaDSQpWV1fx0EMP4bXXXsP6+jqOj48Rj8dx7tw5zM3NubupGo2GOwtDwwvrsvyA52Joxdf7ziyvOz4+SZ9/8+ZN1Ot1p6DFYjEkk0l3hpAXzrL+wWCAvb097O3tYWNjAxMTE7h8+bLzWK+urmJtbc15WNWzS36iWZ5IA0dHRy5tPHk0z+hdv37d0Ua323VKPIEUMwKm02n0+yfp3y9fvozZ2VmX0GVychKlUgnHx8fIZDLY3993Hl22T+MB27I0q7+V5+v+sbIgiAeqsuuTwSobSYt8T8GRTwew5yq5tgSa2pY1enBP2fBTlUPKPyyv0qsd+Cx/9DufQU3nR+eJhX1Rw5MW5Vs6NhY1yI3ivyzqEaaM1rrJR8gz+I6ut/IRC4S0T3bNNAOtfY48RcettKdg11d8c+N7BvB73Tj/5ENW71FjMPtzP/VreVCQE1Q+9OCHRZGzWqQtMwraPCx28e0zSkhWobcWhyAkyw2hxOsDAL4F1g1kiYSbw/bZMjFfn5Xh6vwoiBnljfExI22DdWqbdo5s7D5/2znVNVWwqdZNxqOTEdDVqgxcD79TEZiYmBhiHqpUafYyZbJUFNgXCt1SqTSkgOhdAayT31Hp4JkeVcY43rGxMaRSKdeOZq3Tedb4ZhVyOvf8PxQ6CU+5c+cOJicnkc/n3cFKn4A4PDwcSqTgW2f+7cuqo7SmHi5laFwnBb4AsL6+jtnZWZw5cwa3b9/GN77xDVy+fNmBinQ6jWaz6c5z6RzxrBIP7fO8jYY7cQ04PzzrxPA/gplareaywBFsWOGqezocDmN3dxe5XA6JRAL1en0I/GgCC7vnraBUq7Ldc6qksJ8E0/RE6j5T4at1KB/lu5FIxHlISYv2bBAzkjWbTcTjcZedTwGF0gTr9hl0uHepWBCAdrtddLvdIUUfOD3wzM+ULpWO+Z3lk2qB5G/WoRZxfZ7z3Ol08Fd/9Ve4dOkSstksAGBjY8P1XbMXKqjjeLlXNzY2sL29jf39fTz00ENYWFjAwcEBpqencfHiRYyNjbmD/e+99x52dnbQaDTcGpCWFcwrP6UhiH3P5XJYWFhw4V2hUMhlpeSabW5u4v3333fjLBaLyGQyLi0108fTq5NOp5HP553HKBKJ4Pbt284bxP4wcxx5oE1CQA9RJBJxZ4xSqZS7YDqTyeBjH/sYwuGw29eDwQCVSgW7u7soFou4ffu2A4WlUgmhUAjZbBbFYtElcJmcnEQqlUIikcDu7i729/cduKSHnHuIgNgng5UurF5gAYjVL3wGCSt72Y6PT+j7NHwoL1aZp3Wr0m3PtfBdfU73vu0Dx6XGNmuEUF5m39c+B4XH2WLnTc8TW36shlvbLvs4yiinfMQadnU+9Dm7ZrZN6oEq49XDyX1q9TrrzbN82vbPeqF8MsbqEACG+GvQvCuIUeOaGvJUJ9cfPncvndeWfwzgA/wTAD8+ZV03sirafN5OnmVWPi+MKuEWTNjNrcLE1mGBAOujQLZuTtvHoDkI+t5udFuXEquvHVVMbLFeGBsq5WPqdq6sJ8z2mf/7rGkKSniXDcMTOp2OUxTJlNknzu/h4SH29vZc/Uzly3M2bMO+C5woZ8Vi0QnHQqHgnkkkEojH484CyVTVVBipBBGQTUxMOIXh4OAAzWYT9XrdvacWH77DbGUaSmCBiFouGeNPRk1vis7/4eEhtre3sbe3h1wuh1wuBwBDl5rSKp9Kpdy9G2ybSpzuD11ve7DTKgUsoVDIZSrjOGq1Gv7oj/4I3/rWt/DII4+gVqvhnXfecd6eaDTqzgboOQbSGIElAS4tjdyrwCnIoUWfdehdMrOzs9jY2HBrs7+/j3Q67TK/cfzj4+OuvVAo5Cz08/PzQ+Flg8HAhdME7TM7N7Yof1LQWKlUnNLLedC2VZkJh8NubX2ASA9lq9XX8t92uz10NoyghQoN9xL7qxZI8u5isYhCoYBisejqtZmQdNzAqYLBZzWMxSpsVk7YuqyxgOGCVqlh6OLh4SG2trZw9erVoe9oLGEfePaOgJmgWfdfLpdzZ0sA4OzZs8jlcuj3+5ifn0etVsPf/M3fuKQj+Xz+rvNXuh4Ebwwn5F7l+RiCC64VwRrpYG5uDgCwubmJg4MDlzWS53Gi0agLPev1etjb28P6+jqAkzTzn/3sZ/HP//k/d/u50WgMGX1YNOsmlUACu4mJCZTLZUej2WzWgXFeVs26crkc5ubm0OudXFJcqVRw584ddx50c3MTW1tbAE72Nc8N8YLqmzdvolQquXY6nc5QggRLL1amWtlKI4hPefYpcaqIB/EDqxvo3zaEXnUWNdjp/rV7WOv18RvSm/7o3uTaqoENgEsKYvUmGk74vc6RPmsBjdUnNNsg5Y0aQuz8+ebfrpX2RdfGVxc/V95B3mcBA40+ekXFqDq5VrZfSl8W1Ooz5Dvc28ojrdzmvNv5VR4InBpZOU7SjzVQ+4pP7vNzux7281H67oOUDz348RVlMgp+7EKy2M8VPPmet+3oJur3+47I7PtBFg/gNKxEF1Z/8+9R7koqF9YqbP/mb7vB9Hsdn0X0vjFYxmCtE762WCyj820A/c5aMZjdiIoVwYGCAR7C1v7yb8bT01qpTIQ3jetnABzgOj4+xvz8PJ5++mlMT0+7e2SoDGt2JnoSqEgz/Orw8BCFQsGFj0xOTmJqasrdidHrnRxg59mB8fFxl3qWITQMXSFgYDgSD11zrKqwkmHRQg3AJQO4ffs2tre3kcvlMDMzg5mZGZdylm0kk0m3fuqB47zz/IkySPVKkd71ELDSiwKuWCyGeDyOra0trK+vOwa+tLTkQgK3trach4b3GwEnwojnAjTUiP3m3NjzWSwEDxQY0WgUtVoN2Wx2KPSKc2EVHSoee3t7yGQyiMViLk04wQ8t5zp2zocKElUoVJlhWwR3zG43GAwwNTXlQp5UWeH+5GdWAHLt2A8+w3rtYX4aIOgh033PObe8lb95qJwJIsLhMBYXF137DCsksCKfJohQI0AQQLT/29AMe95Nx68ZFumtY4lEIkilUmi1WkP0r8aGfr/vLgPVMwIaPsPQI/IW7vH9/X2EQiF88MEH7vyPhnEprXE9WLj3ST96783ExITLvka65r7ge9Fo1GUr/Id/+AeEQicZJ8vlMsbGxjA7O+vOBjHsMRQ68bBks1mEQiE0m00Ui0VH37zAlBkZVbm0nkEaLhSYcR81m01UKpWh7HFqcCqXy1hdXcXc3Bxu3bqFsbExPPPMM6hWq1hfX8f29jYikZPEEW+99RZisRgWFhZw5swZvPfee87TnMlk0Ol0HI3o2TUfram8UBq3SnuQAq7v6tpag4Qt3B+sU8GklfcW/FsdSfeBynfOAfmlFg3p1Ut3KWPII63HWGWabc/yI+XPtn/Kz5QPa9+tgVDnWNuwfFWf8xlM7N983gJD257KHRb9X8GrTze0GRz5HedWIwXIGzRUWMGK0gaNDspLbBt2Xrke9tyaAm2lbWsECNKzH6SQju+nfOjBj27ueyFNfce3qOqBGCVAOcG+iabVSl3JuuhBRMxirUPc0Pa5IIRsP7N91M9U2aFioxvVbia7ObQ+39xbQg5C69bT5gNYvovECBi5boxV73a7zurKNaDHRK38VDyA0zMzPDTMzU+BApyeB2C99CBMTEwgmUy6w/HZbBb1et2BYL6jAIBghkKBYVbMJqT0w4QKmryAcelUXNLpNMLhsDuTYu8g0vVXoGIFDT1EPORbKpWwt7eHfD7vDilrenBa5NVazvVjem7OF8fPuWY/NEsVrVQcI9N0c40XFhbcWSVm82MoIMdMoEPlkWdP+v2+A5yqyPd6PafsUQhPTEw4zxYz3cXjcXePUKlUQjKZdJZvZuGiAnB8fDyUYCASibi1mZubQ6vVcnND5S4ajd6ljOjfpHfSP+vl/hsbGxs6tK3e50aj4ZRopQPLjygEuaY+QcznbcKDXq+HfD7vUjIDwMWLF1Gr1RzYU88H9xlpJ5VKoVaroVwuu3AkWkfb7bbjTeqxJI2Ew+EhYKv8w57pUTq0zytN6L4g/yFtMiRPvQH04na73aEMjaSreDw+tJZce75HPgcA9XrdeX/oUeQcMNkHPSG+deRvpqAmT2ECmEQi4dZO9x7DWknvfCeTyeDg4ACtVgv5fB6Li4sORMXjcbTbbVy5cgWHh4d44oknsLq66rw3TA2vPJln73SuaTDUsxtqnOEYer2TzJ5UsrkvNzY2HI188MEHeOmllzA2Nobl5WWX2GR5edl5wlZWVtx8jI+Po9PpoFwuo9fr4ZFHHsHNmzfxxhtvYHl5GWfOnHHnn6wl3yrR1vLOopZ23Wu+YpVSXVPdg/o/19BnwLD6jf2OxkHyadWryKetAk/5aeW6nmHTkC6NNrA/lIFqTKGM5bsKWrR9rZ98yOokVq/ifKpOZteTRcGP6mIKunxrqYBCn9f2fDqRGph8gEvXUy+eVrnOd3iujmtM2T0KdFvQTLog/1MDC/ezeua5Dox8UHDDOviuBdEa+mrnUsd5L0PA/ZQPPfghMSrRA8Pxkvosi2UefEeZjgoSBUu6AW3dWqfPS6PgwioT/Nu+71OCLACxjNdXn1qAgOEzNgCGNpIyGx0b+283pQWEdg5HFR1fEMjjJrJAiX3hxud5ABU0NqZdPXM6fnpO6Brm31QOVMEnI49ETu7/uXnzJqamphAKhbC3t+fCOGiVVq+e9n9/f98pIwq8aNVuNpvOe6P3FPHMEpX1ZrOJTCaDtbU1hEIhbG1tubTfVK6Y+nYwGLgD/wqClfY1RIFngorFIvL5PGZnZ10oDg9dk6lRSBJsslhLuTJUWlO5TsfHx6hUKk5ZZ9hZq9VCqVTCYHCakECtiRwbreVHR0funArDW0Khk9As1m0t7+xXp9NxmbFIJ5xLAtVyuYzFxUWnjFrrmSrIHFe5XEYul0M6nUatVnO0eHh46KzYpBc9p2aFgoIetaxxP/G9oH1o+YT9Lug9gkGbIKLdbmNubg7T09MYHx/H3t4eut0uSqUSWq0WqtXq0DqpomOFYiqVcoYAetlIj0FnehT88IA6cBqaoTzLnleiEq/8jbTAvRKJRIb4Yzwex/HxMba3t7G1tYXJyUnnEY1EIpifn8cnP/lJAKfp5jmfpFkmX+FheybtAIDFxUUAp4lcmD6aNKzZ7BR8qgKktENQlU6n3fjJ29bX17Gzs3OX4huNRpHJZDA7O4uFhQU89thjyOfzDvTH43H3LBO+vPDCC3jllVfw5ptv4qMf/SguXryI+fl5x5d5B9vk5KSzSnPeyddsYgw928jvCf54jQGTGjAL3szMDC5cuODODc3MzCCVSuH4+Bi7u7tIp9MuE6TeR8JsoeFwGDs7O5iensbZs2dRr9cd7dA7TtrgvNPIQrrh/Ot+0/3l23tWtlGO+cCNzwCpz3Cv8lk1alpQxXZ8wIF7RNuzSi1wdwZW1QMGg4Hjg8qvVD/hPtW2gNPLPhUY8XMN39JwM+279k33jOpB7LNvXdRTrs8pmPOBYbal4a8qJywYDtrPLGrE0f2ta6V7x4I6Pqfgyo41yNhFXZRzTv2Jf6tRyvZPi+pObIOy0nrEtO+qm1Bma6IJ1T/vt3zowQ8wPNGcgKDwMJYHRYuWWVhm8iB1W8AQ9IyPSaqSGmQ18Fmd+J0FT8oING5z1PiVeZIR8vMg0MW+69/8Tq182p7+tsxHrQBk8jZ8yjI4KqK8/4Tzy7NCZMrWVa3ZbNQaQs+PrtnY2Bji8bhrlxZwO5csZPS8E0Ot46FQyGU3Itihwp9KpZDNZrGzs+Mswjzk/9GPfhRf+MIXEIlEUKlUUCqVsLOz46ycg8HAHfy31nvOgY5XL52s1Wqo1+sIhUJYW1sbOhxMwQ+cKG2+tLD8jmvComFo1upIxU2zzWnKb6Ujri9BBD0uXAc1AOg5oMHgNF06lVg7NzqOcPgkiQHTSQMnCrEF3npuicy61Wohl8s5OiHdcB4I+NguAbuGdSrNEdgCdysvlr+o0m9pUsene1vXjt/p3Si8cJZ31MTjcef1KpVKODg4cB43fcd6c6nkTE9PD/GCXC7nPDzcJ/QuERwQsDAbGZVa7nXuM91bys99RhWrrHJd6dUDTgxGvDhTx9BqtfD3f//3ju44bnqXNdsgw0kJ2ugZoRFCU9faw9Uaeqgx/fRu5PN5d7Cf2S3b7TYuX76MXq+HCxcuYGVlxXli0uk0stmsC50kQKBiqfS3t7fn7uPpdDqIx+N49tln8clPfhIvv/wy3njjDVy5cgVra2t4+OGHXVZDGk3IjwnCOD56qjg/ClbJ5/UsJPvE9PTACV+dnZ11vIwJFuhhJA1x3kg7zL74jW98A71eD//6X/9rRCIRbG1t4b333kOtVsP8/DyOj4+RTCZRq9UQCoXchcLZbHZoz1uZ6fO+BJUgQ6CVbSpLdQ/bfavPjmrLggDWY8/42XdtNI3Wxf4pGLJzYxVyDU+mjOMYLHCjHFaDhvVYqP5gFWvLJ32eBavTaJ0s6jFWY4fqV6xHDYUaJaR6mG1TFX3yFNUTg3Qx9Vr5dDwLmKlz8DsFltxTGsbM9be6HtslYOEa23sU7fz6+qh7yPe5reNe5UMPfnRC+OPbmPos/7ZMxD6vxbcBfCDmQdGnr01deGWgQYSi36kVwRKJz4KhP2pV1v9JyHac/N4yM6tYaL9sn6wVS4uO0a4T54bKOhV/y0BV4NCSqcrZ0dER2u22UzC4qck8reVOUxLTWkhFe29vz73PMakCHQQgWb8CQSo7VPLV+kUGc3x87MLAmOa11WrhW9/6Ft566y0Xq894+Hq9jnK57O7N4GFtpQ8qAgCcECfTsrTz3nvvIZVKYXZ2FjMzM85jwj53Oh3nteG8UEll/3VN2Rcq+2xPaY/PqzWNheDCehUAuFS8pBGuP4WV3iRPyzzD7SjU6RkMh8PuoDnbY8jZYDBwoYsEjux/r9dzHiNmF6QSSLokTVIQUZkFTpNU6J4giCCdMgTM0n/QnvIpQ2pd5v+6Ppxr/b7T6aBarbq1p8BTqyznUj9XYcv9Rg8glQsCGGYTm52ddTRERYFZ/rj3OP+8y0mz3qnAZj/VE6yKi/IYvkuFg0YBhrwSgPJdGgkUlGh2MY6LQCgSiTg6rVarLh0/2ydP4pzbDJIEPfQG05tCxZC0Eo/HHcBk2BgwzOcJ3BkuSnpUa24qlcLe3p4b187ODsbHxzE1NYVnn30W3/md34nXX38dr732GnZ2dnDu3DmcOXPGXWhKWic4Bk6MGhbIKz/lb9IN14vhPAz51LBmri9DhnVNyAO5t+bn5/H+++/j6OgIP/7jP+54wOLiIubn5/Hyyy+jUCggl8uh3W67dN+VSgX5fB7NZnMo+YYq0QqIgsJ79HmVr1qfyswgfcMaP6w+MUpZVNkUpEvpu+pRtc9qHT6FNqgPwKmXl/So9Gc9FDQ+8DP1MHNvcf7UwOgLY7TzaAGb9kXHa8epn6mc9/Fmlf3atn3X8m99RkGhGoFV9wqSp0pb1iNlx8c2GabtmxPKJu2HD2CrkVnH6tNvrXHK/vC5+wVAH3rwowJNrbRBE6oTY92CALwEbD+379gFG7XBVbH1bRgyiyArRVAqS52PoMLNoqje956PKXNTjAKQal3Q93WD+4oFGCxB86AbTF24VGz1HdIHlQ6mS+U8MvyJsfE8f6IWI+DUYk6lWe8KoXClokAFmf3SQ88WaOrG5btjYyd3DmWzWfeZXQ+G9wBwN6TTq9Nut1GtVt1t5wQ0tOomk0mXIIL0oAKV66c0qkKH45icnES73cb169extbWFmZkZd28SAcbh4aFTIKiQEvT4rO38rUCcv9m+L7whFAo55Q44FcQaWkOFk3MKwFnWWQfXLRwOu3MRBDb0JExOTiKRSKDRaACAy/g3GAyGstQpKFHrWbVaRSqVwvT0tPOalUolRwu61lxntRr6BJgqK6okWCupT4hbpZ/FGhHU86E0wvTwNDAwLJCKOeeYoU4KorRov7gPyKeYcVDXgsA7l8shn8+7vtGqz/Xg57pn7d4jjalxgYk2qCipp1Qtmk8++ST29/ddiCW9j/1+H6lUytVrLeDHx8dDKbvZP34WCp0kDmD2SB0L14PrQOMC6200GkPnaQjq6SkiLbRaLXf+TNdB+0v60HA54OQcGYET1zsSiWB3d9dlrvve7/1e5wl69dVXcf36dVy6dAlLS0uOzw0GA7eXotHo0Pkw9otrZoEM94aeG4xEIs4oBQyHj5OGOFc820jj0uXLl7G1tYWf+ZmfwerqKq5du+YSTJw5cwaf//zn8cYbb+DGjRvuMuWxsTHMzc2hWq16LxK2cl73mBpo7LM+uWr1BCtLfG3bMgqEaL36Geu3uk6Qomn5jC2j9BSrG1ndhHLfFu4DDS1j2xp2beeAe9YHinSM7IfPOKw81MpJa7DyGe2U77A/wGmIGvtsi8pC5fPUhfR9LVZ/tKArCFBTjlndwM6v0q3ls6zbegotXfrohjxXn7e6+v2WDz344aDtwgB3eyfsO/zcEqRVAuz7vuds/aPe1dhT+461FPj6Ytuwrkb+bYuCHt0oqsjYdy2R8x3f/Fgw5LMs2M+0KHBh2xYM+kBiKBQaEvK2TSYMoCeFioXOHb0TZJwaZkKhwv/VEhwOhx2AoqWZ4IdzR0u2rp2lN0uTAFwIHQU7raQK8I+OjnDr1i2nkBNs6L0ZVMSZhc6G/ug86pxrCBWVBqVdKhmki62tLWxsbGBubg7Ly8vuHJPeus65IxhS4a/1kg61Lwx10rTQPjBAizLDynjwlkobw8RsKCNpkIoQn7dWxkaj4RI+MLNZJHKSerderyOdTg/NpwJVpR8qo8wCRgu0CluCMQKqID6htGbp3worvmvBjyq2PsCk+1PPIzFUiZ4Ohuxx7Nx/asm1/KHf77v0zZoGXsE7cJqYpdlsYm9vD9vb2249mZkwlUo5pVqzIdJSqd4NvVdDM2XRe8J62DYNKayn3+8jHo8jFou5duhFJB/gAWN+TiCmnk6lZ7YdiURw48YN1w+GmGlYruXV1gioAFCTrFDBmpycdOeJtChAYr8IHFnv+Pi4e5e8lfsnkUigVqu5/z//+c/jqaeewje/+U28+eabuHz5Mi5cuICFhQVn6AHgMkQCcOFtpCXyAfJ6zqEab+hhs7SlYb6kWd07vAC5Xq/j2WefRSqVwt/93d9haWkJsVgMjUYD165dw/T0NC5cuIBms4lbt24hlUphcnLSpdsnsLK6h89AaXm+BTksuu/J9328wOdVsHqJynD7rk++az22riAAEwSI7PiDivIG5RXaZ5/iHNS2HYMFKKQpKwd9uqUFKfxt180HeMhD9YytpWtLE8rTrczT8apOoMYVyg2NirF1aLQK66Gx2+rPPj0laL5VlrBOAjNdV5+HyUdfKoeUx6ne9yAA6EMPfpR4rQXEpyjzey0+sOIDD7rYvokOUkzsOz7mphtEP1OiDuo737NWJB8ztJvTemhsn31t2/7zM+s+tvNlw5zsnNl3fQLDAj0Vxr5DfJFIxAEBCkEKTGVqquCwPmu5oFKsCvxgcHpQXlNOMw6ZlkAfTaiyTsVT44OpqACnd81wzCwMBWq1Wu5eDCYD0PS8tMpyr2h4ktIdw2aoKHCurRIMwFlXCcIymQzGxk4ysL355puYnp5GNpt154Jo2dZwQl1n9Syogsofgh8qdFYp0BAHrhnBbyqVch6per2OVquFWCzmMtKpcNN+KUBjP6anp13Gt0jk5FzV4eEhMpmMU96ZYIFhRVw/eiyo4JfLZaysrDigNhgMnGeSAJvpiJmRin3luBVYqxdAFX8FqSpE9XxXt9sdUtx0H3DdyFsjkcjQu51OB61Wy2ULI9iIx+MupM/HHzUZCPtHEMh9qvxdD95qavBSqYRyuYybN28iFoshm81ienraHYBnGml9X5UZG1aqe1lDvzSZAPvIC3/1UlyCNoIE/pAOuccIgJkEgHNLGmJ/FXhwXxBY6vpzfyogYEppDbE7Pj52d9iEQqfhvNw/9LQprejaUWFj3VT6eZ6p3W5jYmLCpeJuNBpIJBL4/Oc/jyeffBKvvPIKrly5gs3NTZw9exbLy8tDFl32nWFq7B89PnpAWi3LoVBoKNzGHtTnmvFzjnNnZwc3btxANptFrVZzGRwB4LHHHkMkEsGbb76Jd955B5FIBKurqxgfH8drr72GSCSClZUVN2/kF0GKmOomLAqmrb7iqyfoe6sgW6u/Xnugey4IFFkdalQJ8joFzYevPisf7Vjts3zeJnaw8xOkuygQ4hh0f48atxqcLFBSL5LqGrZ/pHUdi6WLIEA3aj3YjvIU5QkWYGrIonqMfLqz1uH7XPUFjdxgJIh6qPlbZY6dY5/nT8cZRB/3Kv8kwI8FCtb6rwvkmyQLEoC7M4cEMYqgSVcwY5nH/aBn2ybfs65nH5jwgS6O0weerFfCWoBUyAQBPG1D/9f+KHEHrYWOy4In1qEKL3B6oaAFwFRECU7YH4ZNsE4NGdE1ptWSip6PcfT7fbTb7SHFhAf9qagHzTswbEG3SqyOV88jAadCbGFhAQBQqVTc4dtut+uAiR4w1FSzmmqYCgOVCvaDyi5D5ug9IwNjBie9oJCAIZlMolKpOItoIpFwYWcaxqfKqM6NglzONUOa+L96sLguKnhYdz6fx9LSEnK5HHq9HjY2NpySPDU15az/VNxsXewHvWtUajudDmq1GrrdrlOseOB5enoaiUQCyWTSKbtM281+NZtNJ5jUW5LL5TA5OYl6vY5Go+GynqXTade+Zga0/M7uSTUM2DHR26FKs66Lvs9107A+WvH29/ddYgKeo2NfCBCodJMXcm9xHRnOxv2rhgkC+cFg4Ly3ShNMi82zH7dv38bGxoa7P2lpacl5aLifCW60Lg3JZNE549zrma6VlRUXpsLPI5GIC5nzeWk0LIZA1fIAgl+uK+eKz3E+bZ3ss4bj0lrK9abXR63E7A+zn+nYLa/WfrHPBENsg2vO9xuNBprNJtLpNL7ru74LH/vYx/DWW29hfX0dhUIBFy5cwMzMzFByD9Kp7jHSshorVJHs9U6vLNAQN9K5erWYAXNpaQmRSAQbGxv41re+hSeffBLxeByVSgUvvvgiVldXsbq6itnZWWxtbaFYLGJ6ehqPPvoo3njjDWxtbbn03+TZNsLDJ699cmGU/NPnfHtdlXDSMeUU+6TvcP3VyMl6tN4gY7Bt344jCMCp4s3/feFZ1uthgQI/Uy+DTzcJAhFWkSfN+IrK6SBeaXmxemOtUW6UbupbXx2XrpedQ5/OqHqd6i46t7qHFPzxOzUC6m8re1iP9WTRK6sJFTQSSfUw3edW7/Z5Dr8dAPShBz/20Joyc114K3xY1EsE3O2tYNF31XLj29TAMCHYzacbfxSD0w1hN4taKOx8aD+VaWjxIWxtS5+xzPhBiMwyVBVWPtAZ1IaP8PVdjeVnUeWKdVhlQddBrW52DCqAVcDQWqz1aXgYgZBlbPzNNVSBRWWIh39ZP5UtKnnHx8f44IMP3JmfbDaLRqPhbl5nOJ4VqFRcJycnXSYoKlL6o1ZWtk9vFseol0xSmeS8MAU0wdjBwQHS6bQL89GLaZUeCC58oQAa408wosybwovzk8lkMD8/j3g8PnRhLS3hsVjMeQYVSGlYEueb+4lhXq1WC+1224VZtVotZLNZpFIpzM/Pu3MoBJb7+/toNBouYx7PiXQ6HZdGOxw+ySKn9BMKhdw7PFfio1mCWKVbCl193tIE5015jL7LPcawMU1xzD19eHiIS5cuuTAovqchjwwJpQdP7+TiZ7xwmHPGe2Ti8TiSyaQDFNZIQUMF+8r9yjufKpWKuzhUExCMj4+7DHG6p3VPaJgb6YZt68F9zjkVEBo/fKHGqgRZnsPnrBKmiiy9RkxwQf5jQS5BD5Vy9egq8CVIsynF7b5QvnV8fJL1jns/kUg4ow+TwDCcmP0/PDxEsVh0d6M988wzeOihh/Duu+/i7bffRjqdxvnz55HJZByA6Xa7zisJ4C56Jk2zn5zfVquFWq3mDAqxWGxIbup4E4kEVldXEY/HcefOHbz77rt4+umncenSJdRqNXeGajAY4KGHHnIXtw4GA5w7dw67u7u4ffv2XR4sK/O5Bj6wwLHpuOycKy9UeW3lOfeg8gfuK31P97GVEZb2rDLM30HAwgf69Dmr/Ov+9ekB/NyGK9szOPqdbYf7IUh/CwKqbEcNEBaYWN2M33NfKo/gczp2lfNsz5dEQouVBfo596+Gr/vmV42qqi8roFQexfFpWLjSIP/XSBMdq3rELQ1zfTXMX5NZ6brqPOt832/50IOfSOT0DgNODi1mFEpqubMEbX8r81SisrH4Wpe1ugQp8EGgQYlWBZePqViLnI9hKUPQedJ+2A1jwYVlvDb+0zePam1nXdqOCgWdN/5t29SfXq83VL8ya1o2dbNzc5EeaAGOx+PI5XIuHS1/9BA2mYUe5KayQSGsSgHHyXMJdr00xEbHr5YXCjddK71MkWF17AsV/FDo5F4hhplQMVCXO4Chs0icH2Y6ojWbQI7ghmdROp0OKpUKqtXqXfuDc2A9OHpAnSFczWbTeYJ4hoF3GTUaDYTDYZeJT5k/Q0m417mmDN1jJjB6DWKxmFvzlZUVLC4uOmWUFzUSWPKsBgEO0w6HQiGXEpfCQUOPjo+PkUqlkM/nkc/ncXx8jM3NTYyNnVyk2O/3nUeMmcjoDWCI2JkzZ4YUOlqsNRkHx0MLNusk/VCJ43pQudE1scXyIeUfViGwvI37Wovuc42JJ8hk/zKZzJCxgO+q8s45pgen1Wo5D+P+/j4KhQJisRiSySSOj48dKAqFQk75JijnHta0qkFKGD/TsauA1/4xgYdPgbUAUudH59S2SaHvU8jYjqYGV+8Hiw07Jp2qIqSKoircrJMyheEyNMb4FDUN6dW9qXffkO6VP7M/jUYDg8EA+Xwe3/M934M7d+7g/fffxxtvvIGZmRmsra0hmUw6bylBtp4F4m/2o9c7uQx2Y2MD9XrdGUCAk6QMNs0455OplBcWFhCLxbC+vo5bt25hdnbWhWHqPESjUTzyyCMoFototVpYWlrCK6+8gq2tLczPz7tQQJ5R5Nqwnzr/XGNrVLV0o8UaDq1xVgGCGkE1osUCAJXVPl6g+oa2pTRqi36u7+u+98l9vmv7qnqPHacdq91nHL/qP1ZX8wE/O8/2GR8/tIYLn2FVlXcFR9oPnQ818HMf0uOsbVs+wLEqn+HnKsftnHN+LV/T77mWarBU0K2eav62dMR6FfyRdxAAaSZHjoW8zfbtfsuHHvyQYNSio5NorQk+awAnTAWaTir/Z/ERsP3c1459hu/7rH/sl8+io58HAS8dUxDws3Pg8yRpP61l1RYf8LECNgg4jRL6ChA4V/xchSpwGvurShfDVNS6GQ6HkU6nkUqlUCqVHIBQBS4oq5W6Y+08+hQd+5xvHXRcZBJUxnmAV4uCIAIMAM5yrkkFVBDTq0RwCJzsoVar5daJ88RCbw8VUw2nUSVPaYhgVZM/kEHyMkd6nugNYuheIpEYEhZ61kQVxMFg4NIY9/t9B2zZj+XlZZw/f97NC8cwMzODRCKBSCSC27dvY29vD7VazV3EeXR0hKWlJXzmM59BNBp1l8mGQifhXcViEYVCYSgFM880jY2NoVKpOGU8HD4JNWo2m25OisWiEwrdbteFstFqzkPfnNe9vT23ByxY5v8s1jps95ktupes0FRa0891DZSe1cOpyrIKTNsGaUPv4iFITKVS7rLPeDyOWq2G999/H+vr60NrMjU15eZBvXT0TAQpOKoQqDDXZ9WiaS3G/LGKrO4FvucTyrrfg/ifj7foeluZZsHQ+Pi4y2TJeeZ+0nHr+5ZnsS4dr97VZQGsNaSpXFCjHL8nL1hYWEA2m8Xm5iauXLmCt956C/l8HrlcDtFodCiDX6fTGbJqcz9Vq1XcuXMH3W4Xc3NzLpyU9/yMj4+7c4gcD73YBE6pVApra2soFot49dVXMTs7i1QqhampKZeghHSRyWTQ6XSwvLyM8fFxfPOb30SxWHSGDV6synNGXAeuge4fn/Lm4/s+JVTnV4v1BBIg6h7w0ZwaMLRtPqN8Q3UMfcfuKf1e+x8EOCw963xoP/Vda+RlsTqaTwZb/cenN+nzQUUBhn1H+Yntvx2r8nitd5S+qVEn/J/rb/eqTzfTOn3XSVh9TXko21OjCXCqI6vRwrfm7AM/tynjw+Gw86arIXKU3jqqPDD4efHFF/Hbv/3beO2111AoFPDcc8/hR37kR9z3/+Jf/Av8yZ/8ydA73//934/nn3/e/V+tVvGLv/iL+Iu/+AuEw2H82I/9GH73d38XyWTygQdABY9hDFTifN4TuymtMLNC0AcsfESvRGoJctQmYT9t/9hHS1j3ErDaHt9TAWSVGFVULPFYa4YdrwoxH+H56gtiJkF16HfWYsWxE4xQMNo5j8VimJ+fdxZ4zco0Pj7uskRxQ/GgOj0k3IBkHPZmdbVEaPilrg3Bgsae2/m0v1m3Wht1vTifVEIYjpPJZFyoWafTQSgUch4WCnw9YxAOhx3YINhiUVe4WrM07Eytd6rcss9si7THeSSQ4JrkcjksLy+7sCievaBFLBw+vfnbKmFUSJrNpvMILCws4OMf/7gLRxsbG3MAp16vo1KpoFAooFwuO+bK+o+OjlCv13F4eIh0Ou36RA/U8fExyuWymxfeUxIKnXgabty4gVwuh7m5OZcuWS8+ZFgQPTsERgoQ1c2vfEzp2yqRQYBc6cy391h8/EYNM8oTrXFIw858dfoUGeUJGmbItrmfwuEwarUaxsbG8PGPfxzT09N49dVXUa1WHdCZmZlxip0ahrROn6XZFh8ws/vSPmt/23kMak8t2EFzF2Rw8skiy7M57/Qmci9qMgPlWcDwJbl2vX0GLBqIfHtc+8S+q+Ktn9MgEgqFkM/n8YlPfAIbGxsoFApoNBrI5XJIp9PuHKNeUk2exTN2vHeJd2gBp0CQ4ZaZTAaZTAaxWAyDwWlaevIlniHb2dkZUu7pXe73+ygUCohGoy5BQjKZxJNPPol33nkHt27dwsc+9jFcunTJXS6tl/IyHMjOh66vynbOv2//WkCkxitrrNMIBG1HZRjHZ5XUIN7h2weqf1C/sPTpMxqMakfbsJ8FydSg7+1zSuej+INvDJbGg4wK6hFRvqh72eqcujeDdFNtT42bqv9xT9s1srLCHiGxhhYdk+WFVk/VrIukS/3fB+L0O+r2/X7f8TDKel5QrOswim585YHBT7vdxuOPP46f/dmfxbPPPut95otf/CL+6I/+yP1vw4F+8id/EoVCAV/96ldxdHSEn/mZn8HP//zP48/+7M8etDtO4Gk8pRKwTyG2SgLrGSXMLBNQYhqFjrXc7+JYIvIBFkvcLJZYLWO1Soyv/xYkBfULuPvAoO95PmdBgbYVBAD0b24IBQEsFiTQ45FIJHD27FmcO3cO3/zmN9HpdIYOAff7fSQSCZepixc1co5oPVb3OpV+PZzHcfjOACkwoLJg50jpVNfIHmC060RQRa8OD47Tkk5LCUNHCOD07BBT8KqyRcbD/aRAj2PiGRDOv35Pxq3nrfR7gg1apulJYWIEggr2w7bDVNacW14yOzZ2cqv91NQUisUi3n77bXfOZnt726XfZTYyAj9V1hjeWK1W3XkQKtm8KJcWXQW7BOHdbhflchnr6+uYmJjA/Pw80uk0IpEI4vG4uxySl51yvP3+aaic9WT69imLPScQtKdtscKPbfkAi+5vu49Vcda29Dny6SBFhO0p7+Gcsm6C4vn5eTz11FN4++23US6XUSwWh7xG3Jvcbz4eqYqlGhPYLn/7eKxVVHyK1/3wet3XCnSV73FN2Q8fOPXVZ8dKumZ2OL0jRy9L1XH7ftiunn1Qb6+ORc+2KN/gc/xbDUgAXOr4tbU1LC0tYWNjA8ViEe12GzMzM0MXJwOnoe9MDPLII4+gUqlgc3PT8QSmtuccNxoNt2/oDWM/uQ8zmQzC4TCq1SpqtRqWlpbQ7/dRq9UcWNJ5JHj76Ec/ivfeew8ffPABPv7xj+PjH/84arWao2eG39LLS68U/9YQIZ0nTarjA61K69YbpPxT6ZQ0wv91Hyrt2eLTeSyY0fp9eomvbX2G4+IY9Dvblg9A+sboKwrOLB/w6TXaB75v+60GBJ++YvutvFL1S6u7+eZKP7NgSNtR/q5jt++rLLRzws9HAU7funBMami34c++uVT9Jx6POwMCw/xpBBm1vkHlgcHPl770JXzpS18a+czk5CTm5+e9312+fBnPP/88XnnlFXzyk58EAPz+7/8+fuAHfgC/8zu/48Ic7qfooBUVAsPuNy266XwbRhfVh66tELLE6QNZvhLUjn5v/7YKCIvPSmPbGdVnCxh9fR1VLIEHgT978NfHXJQZaiGzU0VVx0EFmfUxy1skcpJJ66GHHsLGxgbef/99J+xjsZgTQtls1oGcSqUy1J6G+XCeLCjhWmuiDQUSFEw+JmX/1vWmpZaHrG0hGGN/aOnmuRp+F3QDumbBY1Egw+9Yh4ZR8J4bBVOqfKsXiQJbf7MevfyS9+cwPXUymUStVkO73R46XzQ5OelSDDObGK2w9Xod6+vr7qwNU0zPzs7iySefRDQaxY0bN7C9ve2ykvFMFS3YvV4Pe3t7WFxcdICRCgYtzAyT4xkdtsVxMZ3w9evXMTk5iUwm4yzTvPemVCqhWCy6sysaw60gOmhvcD5IZxZE6/6xRZ+xBg+lUdKiFY5Kg5bv+XgW5yZIWaBl1IIL7nnOR7VaxdTUFJ5++ml861vfQrVaxe7uLsLhk1DWWCzmaNNaZi3w0d9atJ+WRwUJ/SAwZMGg7132T/vrmwfLF0eBLB+gZP3RaNTtO/4QIGnYuMoLVZQIPkjrepZHvRpWNunaW16uNMbzjuPj41hbW8PMzAzu3LmD7e1tpFIpB0zIF9XTsb+/j3Q6jUceeQSFQgE7OzsOUPHOqVAo5M7+0SDBvce+HBwcuPBYJiXJZrM4ODhwXqVSqYRSqeRSXdOrdPHiRbz33nv4n//zf+Lpp592obY08DD9PfUU9coRFJEX8ofeUT5nvZy6Rpb2yCP0jJQqpPos11h1BssbfOsZpCeoPmDf83mElKb1nKzlFdpHa5izdVkgYfunANGnv4za4zqXfDYIMCmNjwKAVk+wHh/bJ86jfq/73h5J0Dp03uy4fAZ+7Zsdpz5P44KOQ+WHb44sPwCGwTvltOoSVn8exRO1/D858/PCCy+4m7e/53u+B7/5m7+JqakpAMBLL72EbDbrgA8AfOELX0A4HMbLL7+MH/3RH72rPrq5WHgbNCeVTIBWE71lWRfVehyAuzefJUzfBvC5hi2x2mItAvx7lDD0EZ217FogEdTvIMZkkb+t09Zh+6zKhD0LYBUlH1OyACgIgNn+2DFqfyiMKRg7nQ56vR7W1tZQrVZRLpddKmh6cRKJBAaDgcvgxQOw2q4KWA1j4lg1BI+gQhmQDTnQcfjWbTAYOGGnlilrMdYwk8Fg4JRuKjKhUMgJfYZdcE+xToIhXReOR702uk4U2Brywro0jt4qw+yzBX0aRjcYnJznGR8fx9TUFGZmZtDtdt1dRgRcui79/um9OoeHh1hdXUUkEsHMzAxWVlbcfSKDwQDb29t488038cYbb+DWrVsOSKlyUCwWceHChaE7hfTwvJ43U+WDHgcA7sD9wcEB9vb20Gg0XOrwZDKJXC7nzlwxBJCeO9076t3hXPv2ru6De/EAuy6W/khrKri0XX3OWnZ93hLSifIL3Q82QydwmvGM3gr2pVarYW5uDk899RT+7u/+DrVaDYVCAYPB4K6kClqClG/+H6Q8+ni6WjCVlu241cBhi+95K6d8yinLKM8g/yeYZ3uq7KnHgwYO1qXnJn2Kl08h1s94T5EvCyfHwjW11mR+T+9vPB7HI488gr29Pezs7GBrawvRaBT5fN6FqCmIOz4+RiwWc2dxdnZ2hlJvM6ED3zk6OkIikUAqlXL7LBQKOQ9xv9/H+vo6FhcXMT09jb29PXQ6Hezu7roLT2lsIx965pln8Nprr+ErX/mKu8yVnvl4PO5AUCwWcxkN+TnvpyIP1Tu7aOzRH3r+mZCH4Ihro8BU1yFIYfTxA7vu+o5vz9tngvaA6guqq6lMsTqc5W9BYfFBeo/2LciTEfQ5+2wVdR/4Yj0KLILq4xwGASnlwTqGUbqd8g/fszZzpvZRnw3ycvloQfmOAiErW3SMvjmlLLXjYX36eZCHclT5Rwc/X/ziF/Hss8/i3LlzWF9fx6/+6q/iS1/6El566SVEIhHs7OxgdnZ2uBP/v1CVnZ0db52/9Vu/hV//9V+/63MOeGxszFlzOBHqHlaLmiUkX053H+DRz/Rgrw9F8+8gMBFE3Pp8EJAJ6qtufi0+4eoT6FZ4W0ajGzOobR8wYrEWIvvsqDFqfxRwsA27sSKRiLsXBTg57F6tVpHNZjE3N+du8i4UCohEIkin08jn8wiHw+4APg/qU3BrLLwqA8ogdRPalKIMIVOPpKUL1q9zSeWBIRt2PpXmda30efUcxGIxB9SYglrTWRM06hklhsTxHI7SCoUy69f14A9DEMmINYGBXWOlMSrMjUbDnZ3hvRzpdBq5XA7dbtddolkqlZDL5XDu3DnE43F3DoTgpVwu46233sLe3h76/T7y+Tx+6Id+CK+88gpeeeWVu8LyGAJJr48mldAwQfIWzUZIxZ6hiLSyA6eZ93iRYiaTwfT0tAt/oaePIIjzoMBTBaoKA12fewEi3Xc+fmSVJ7ZtlX5tV40z6lkJMhjZs4iqtJBO2VY4HEa73UY8Hken08H29jYWFhbwmc98Bm+99Ra2t7fdWSye41PeZGlNx6if6RxY4OEzzuhetoBqlBLm4/22L0FgLchibhUjHaO1BPuAEIEAPTecd8tjVaFiXeRVyqsV+KhcU9mhfVWa4R5jmHIkEnHndAqFggtlzeVySCaTzmDA9pnkZH5+HtFoFDs7O2g2mw4g0POih6fVEEZ63t/fd2dFt7e33b1RW1tbuHXrlvPmRqNR1Ot1dDodpFIpRKNRPPbYY7h8+bLzFE1OTmJ/fx+1Wm1o7WgY49lleu6TyaQLBWZq/1Qqhenp6bsMA/1+351NpAGPIXb8nKBIL4q1IEb3pI+erBJrlVR9JggM+HgR37PKrU9fIB/yAThLS0F9sbzLpz/5ngsqvnYV1Phknr7nq9vqgUHg0+qewKleFnRWTPenT0e1PI08Igjk2fnjmVbfeqt8YFGwq+PVd0KhkDu/SDoJMnTdq/yjg58vf/nL7u9HH30Ujz32GM6fP48XXngBn//857+tOn/lV34Fv/RLv+T+bzQazoJ7eHiIVCqFz33ucxgbG0OhUECz2USn03ELSyuPFR5aLOFYJs3PyBCtEq4lSMFgHUEWWx/hkRh8YMtaXFUxscq13Sg+4rMZSqyHynqd7Bh9lp9Rm13/DxLcQYxP/9Y15QbNZDJYWlpCq9VyKXLPnj3rsvbs7e3h9u3b6HQ6LqwiHD4JB8nlci7kQNvh+R8q8xoaxr7aMem8qcUzyMNl54LtqvKtz/qUVhYKdS2kGQIhhsXR6qt34XAuqfxQgFqFUYWHzwqjoJF1Ka1ovn9lxhTuvB/n+PjY3dNCQBCLxTAzM+MyOS0sLCAej7t7Rvb393H79m1sbW3hzp076HQ6ro8zMzP4oR/6IaysrKDX6+GVV14BMBxupp4c9lP7S2WGoYTAaUpiWtx9+5kePabWTiQSLsMZzy/wXhqGw6mVnxZh9pcgK8hzYenFRxMsatzhOvi8tlSSVOizDQVCFpwrOFOvhPI4H48aDE68OkwwAQC7u7uYmprCk08+iePjY1QqFUdjvFzW5y1/EMMLxxr0vJ1zHwCycx/UpuXbNqzD8j7g7jXWNnQ9gmSP9R7Rc0beQ5Bqra2aTEJBLddbDYs+vkfjCfmM8nkFX2xfPYazs7PIZDLu4tROp4N0Oo10Ou3mifePRSIRd3Hw1taWO7OjZyQJsGq1mvM06R4m72+1WiiXy8jn804RLBQKOD4+dkkZGKJ248YNnDlzBg899BCuX7+OarWK2dlZx3OVzjlnnU4HnU7nLloiH2a0ggIieozo9Y7FYshms0NzSllAIET+QkOMDanTS8P5m31VMK38XL14Pvq0RgDrWVE5afeEKsY+kGKVd2vs1jZ9hgPbP63PGihs2z55Z+dBeZvtv+UfFoj5AID2y2co8Y1Zi+onowCPfUdDrO2cBIFHfT6oj0FFdVAFUeQvVpewuuKo8v881fXa2hqmp6dx/fp1fP7zn8f8/DyKxeLQM8fHx6hWq4HnhCYnJ713qPDdwWCAJ598EqFQCKurq2g2myiVSiiXyy7Tis36o5sYuNuaAYw+yOb73FpQ+NtuHp/CSqHhE14qPH0WCrVuWmTuI24f49C2gwBOUFGhaj0hvmI3rY7Jx5RUuea6BQFTApOJiQlMT08jGo2iWq1ia2sL+XweMzMzLsMXQ9c0jTNDkbrdLra3t+8KN6IyrAf5fYxP+6XrZzeq9h3wW6IpqJWJWYbm2/Q6p/q+9pFZkNQyv7+/P+TNoTdoYmJiyHpogZXtt/bBp3TpnKi3iP/rGRDStWZISyQSmJubQ6VSwf7+vjs3w7G0Wi28/fbbziDCcNjj42Ok02lcvHgRqVQK8Xgc3/d934dGo4HLly+7viswabVaQweOVYixTgsSVAFUIKB0TkWDCj0tvdFo1F3QeXBw4CzLrEvnmX2w3kG2Z/mZroEFJwRVqnRyrNaSqnUCd18gqG3p+FmoWPIZn2BXulB643zzjF4ul8N3fMd34KWXXnLen5mZmbvCmIJ4zyga1mKfD+KTPt7nU8aUt9l+cf59oMmnPNn6rVJp1035kZUxBI384V7QDJDKs/iuBUij5kOBktIc62ffbAZK9pEGg1gshr29Pezt7WF/f9+drbPnQCYnJ7G4uIhkMolCoeAS2+jcUg6wHmasYgKNVCqFWq2Gra0tnD17Fj/+4z+Od955Bzdv3sT6+jry+by7mLrT6eDdd9/F1NQUZmdn0Wq1UCgUMDs7O5RFVHkCs0baeaPiSXCmngR6i8Lh05TxnJdYLOaAEhO8aKQD9zbHbc8cWQ+SeozYL/Wa6VxaWte9rDSga26NZ8oXLO2MUnItGLdGYy22jVG6C5+3fffpdEHv2M984GSU/uWrwxd6OwpwBNWv4wiaB6vTsA37vJVTvjH4wKavTeVhlFE+Q+uDlP/n4OfOnTuoVCpYWFgAAHzmM59BrVbDa6+9hk984hMAgK997Wvo9/t46qmnHrj+UOg0Dn9iYsJZf2j1Z1rbcrnsbmre39+/S9HipNvD2D5PiiV4fs+iSN/HyEZtEN/nVjDyb1XIWVSJte2rwub7sUpL0Lh9/Q4KL9G2R5WgzW/HocoR14+ARy825LO8pK7RaGB9fR0PP/ywUyLtYUoy//n5eYRCIVSrVZctjd/Tmma9YnZ+9G972FAtckFKj9KQhin45lXnyMcISCfWswfgLmudWlKoPOgBaFoeB4OBu1NIrYMWyAUpe+xrkNVflWiOiYkOCCgqlQra7TYKhQLy+Tyi0Sja7TampqaQy+Xw9ttv48aNG0NJIEKhk4POU1NTeOSRR3B4eIg7d+5gdnYWzzzzDDY3N9FoNFymPGaHY9gaEywQOPOsEMemYXC2/1p0r1G5JKDc39935wEmJibQ7Xbd4WzeCURa5LxEIhGXipv1c0+qwqjFFy6gZ0MsbQbxL6s0qAfIpyDwb7tvrMeHyr8q6FbJ4J7Y29vD3NwcvuM7vgNf+9rXXDYvKoZ2TwWti47Xju9+yqhnFaT4eKVPkfIZiFiUn3N8vmJDy3zAyddXXW/NUsb1seEsdjzWg2ifsUbEIKCn9DAYnHiL9BJWJnbhhdXFYtHtIU1UQlDA/cpECNoH6hP03vBOIFXcGWI7MzODT37yk3jkkUfwxhtv4Pr166hUKuh0Ou4i7cnJSdy5c8cBtcPDQ+zt7SGfzzuAqe1boKp/U3b45AD5B3ldtVp1c873mPCBoIhGZfIa8nZGR+jFlZRBmoCBmS1poKEHnH1h+zRQs++U0aRZ1UHYX2skUZqwxjRb+L7Vb+5VLJ/xyUufNycorMwCE9atcpJ980XZBI2P9fB7pQ8FfD6e7/teeYgFNSyjwKCVDyqvR71j5yxozbVe8nyrn+va3W95YPDTarVw/fp19//Nmzfx5ptvupvOf/3Xfx0/9mM/hvn5eayvr+OXf/mXceHCBXz/938/AODSpUv44he/iJ/7uZ/DH/7hH+Lo6Ai/8Au/gC9/+csPlOmNhYOu1WrI5XIATi+4nJiYcPeHMHRmZ2cHxWIRtVrNhcAECWk7wSxBBHW/4GjUuza22j5niZZCSpUFS1hBigr/H/XZvfrvE+CcS98tx753gLu9bb5wnSAhq8KYCk+/fxL/PDU1hWQyicPDQ1QqFTQaDXfHw8TEhEsxyrAGXlS5tLSEzc1NbG9vD/VB+6ugeVRRJZOCiErp/0fem8fImp3l4U9Vd3Xta+/bXefeO/fOnfGszIyNsYHB4NhEEUMSKSGYKFIUMKBA/oiI8kcSlKBEURIhESIhCxIJCwlwTIwJBmywPXjMePa5M3e/fZfeu7r2pbeq+v3Rek4/9d7zVfcdxE+/8e9Ira766vvOd5b3vO/zLuc9CkgU+OmYdbtdl6hA985onb6xtSDH5/q2ipkFuBbgAHCJAXg/ATvjzvm8j4kGAUulZ7UAqoWawj0cDiObzbq9PKVSCXt7e6jVarh27RouXLiA7/3e78Xm5iYAIJvNOsMGDR+dTgc3b950p8GfP38e586dw9mzZ/HKK6+4vlCxSCQS7sBZbnKORqNO0PMQWSZt8K0hW3iPglyOI7NQcU/Q9vY2Go0GyuUy0uk04vF4394F9dCwPk2r7lN0LI/Q+VKLmvIY2259TgGBFj7H9uk7fUJO++HzwivdkP663S7u3LmD48eP48Mf/rBLghAKhTA1NXVfamRr9PGNiW3/+y2DgISPz/k+879Vhga1O+g+awnXNlrLrc0Gx83/XIuadcmnvKm3GcB9PFM9PJZfKQ1o/RrySR42MjLivC6NRsMZLRi+pkA+FNo3io2MjGBpaQnVatWNLb3gPOuL7WdoHLC/R7ndbmNtbQ2Li4s4ffo0Tp065QwVCwsLqFarGB4edqFw9XrdnR/EutPptEtqwL5oWI8Wjpk1zloPnF2bKj+63W5fIh8WetmpDKnnSI0wzFDHQ6k5l1SO2u32fQoSw/gYbtdqtbz7jRTAEzuwbsU3lr58xcqwoygT+pvP8KP1kSYVkw2qz14bhGVYBimA7KM1hPC6D9Pxs+Xz1uDg8wTbfto6BymXhylChylBQfeQRv5f9fy8+uqr+P7v/373nXtxPvOZz+DXf/3X8fbbb+N//s//iUqlgpmZGXziE5/AL//yL/eFrf32b/82fvZnfxY/+IM/iHB4/5DTX/3VX31fHej19lNSvvzyyzh58iQymYxze9PNS2vsxMQE5ubm3EZJnh+gmeSsJs1r9rNOetDC8ikdLCoUrMCxC8Q+ZzX2ICE4SPP3FR9oO4r1xF73hcf4vtvnlPlbUAz4N3rbtqvniwInFos5AVqtVlEoFDA2NoZ0Ou02mKtVHdgPtczlclhdXb2PCfB9usHdjpm1VgD9Z3lYUOIbI2XAmvJaaUYF4SAlzFoY+SyVCgUTFLL8rJv2lTlyTXM/EhMocI+ShnTwfdpvC4Z1ninkVeipIjQyMuK8clQ8GL9eqVRw8+bNvjGiN7BUKjkBfffuXQwPD7swWaZPLhaLAPY9ydwfRoWk0+m4fQbpdBrRaNR9JjM+zArlE0x2fJjood1u98Xxb29vO2820zpTUVMQZb3BqsgC6Dth3ipIut45h5aGBln8rRJ0GF1aPmnpk2vXrilVuOg9W1pawtTUFJ5//nl8/etfR6VSQSqVQjabde0G7vfG+owuvjb6lKVB333lsLHxhejofRwjuw/HV7/vHUF9tKEk+h048ArzPxVKNUow0yN5MUGu7qNj0bGyIJ79YLu4d4eGF/V+aFIjZlKjElStVl02NU3gAADj4+MYGhrCvXv3XBIT9XZ3u/sHmSYSCUxOTiKfz7s20fiwsrICAJiamsLJkycRiURw/vx5XL16Fbdu3UK320U2m70vdJYh+blcrm9voXqRda6tIcLyEI49r+kaYZ+t8qzrnYku6M3Xe7Qenp1ns9RRKWKiIRrplJe0Wi13nAHD6ZipjjKYWeu0X9ZwRxokrVhl3scHfZjEB7KDFByWQdjLxx99yoOVe+o5CpKVQYpUUF9891jFx9JVUJuV5ohhfIqQHUvflgH7jN03zfsHja3WwQiM91MeWPn5+Mc/PvBlX/nKVw6to1AovK8DTW0JhQ42H7/55psuNS4XJBciLcRc4K1WC41GA61Wyy0kjWUG/ERolRIKCN4H9FulbDkMoAL3Kz8+oKTKmAWXdrFY0GvreZDiU6b4/m63f4OrbbsPJPjq1nHmfQrw7RholhxlWLRy0cIWi8WwtbWFer2OiYkJTE9Pu4MwNcMRN8ozY08qlUKtVnPttel4LfhQpdYX9sV7fH3UcbHMlQDDjjPH4igKkN6vbeE1Ag3WQ8WIll8NQVJFzgrdIMapAMf2U69Zga8gW9cr543hI1SEmFKawrndbruzXzY3N10WNQCODwwPD+P27dsA4DyF29vbuHHjBt59912EQvtZ4zjfU1NTqFQqDhDYPVm2/VYI6WedM3sOh/aTwG54eBh3797Fs88+i49//ON48803ce/ePYyPjzsFjYWhnARdej6Ipu1WfsIQGV1PhwFq0pKPf/J5n0HA0qDONZ9VYaj16SZ4KsTNZhNra2sYGxvDU089he985ztYX1/vU96V3uz4D1o/vr49yHcWO/+DxtYqBFZBHQSKLJBRhVEL5Zju5Qjqh4JSBYm8j4o7aY2pszVzoe7n84EvC1Q1pJb9YBiqVWg4TkwGwFC4nZ0dhwXY/t3dXWSzWQwNDWF5edntRe52u33JAwju2Tf1vi8sLCAajeIjH/kI0uk0VlZW0Gq1nNfk2rVrKJVK7pyyZDKJvb09jI6OujD8eDzuzi+xHlw7v8qbya9JF9Zo4FtDOv865paH6/iThzNEkJnqrDLMOWb4HEPqeK4Zx4T7jdg2PeOIShE9Ro1Gw+0/0gNlda34xkrr13EC+tM7K09Rmtf1Y+dA15HiEt+61rWjvCfI+GLXtVUMtC7yaqtc2bbos742UlGxfWQ7tH1WPh32WftHRcca0/QaeZH21fJnGmS5HjkeOo9HKX/je37+JosyYl08XJxc3CROy7DVyqWapAIBGy9twYAOtjJvnxDVSfcJmaNOnCUILWyXgvBB9VuFxDISHSO7yK0SoIvbJ5TtQvYBRAswfABYwT4349PiSIskmXWlUkE8HkcqlXIbN3d3d1EoFDAxMYHFxUVXF61u1WrVxYzncjlHT6rQcIOpb5O5jzFxLClo7JknQXPJtnU6Byfca8hZEAA6auHzQRuVOaedTgfNZtMpmtZCyfELh8POI2TXlzI/e83Wxe+8n3TW7XZdCIWmj6bnqdvtuv1f9AhxzjW+n6EXBEWjo6N49dVXsbq62neYq4aUkdHGYjE8/vjjWF5exp07d+4D70rbQXOja4zP694q642gx2lnZwepVAozMzO4c+cObt26hR/4gR/A5uYmFhYWEIlEXHY4esK4FhibrwoVNzgTpBKMaAY7BW2+fli6sULf3qeCFehPI2/p0o6pHT/dbE9lrtFoAABOnDiBSqXiAGgul0Mymeyr/0HKYR4UW6eCTZ/ya8fB97s1pNlx8BnadNws/9fvFpAovSmY8Ck92n/yCBqN6E0nLTGTGkPH9Iwu7a9a8PlZeR1BD71NDNHid/ImpZ10Ou28LrVaDbu7u0in031tjsfjmJ6edvWPj487IM8EKmpcoYcJAIrFIkZGRlAul5FKpXD69Gm88847LsPcww8/jFKphHfeecd5VRhGCwAbGxsYGhpyBlo7v745V56ohjYFq+StVq4S3/BP+bGGFqpRl3KWfdd6gYM9PQwpJr/ifXw2Go0iFou5v1QqhVwu1+dBGhsbcwdLc36UV7VaLZcIhuF0e3t7qNfr7j6bvjkUOkiPrNeB/kQBPsOV0rldqzq2Ond2/uzvfFbXm7bBYjgfLei8KE3Y/vkiU7RYj7oPkwHoM7gGKTv6Z/eOkh70uxpHWU+QZ0mxAvmKegjfT/lAKz8sFHocIAsigAPgqWBJF7oVZBx8nUTV9gcJziAFKEj50MVlAYRPCfAxQxab8ECfsd4iX91WaFrrkS54y1gtE7F1H+WafvctYh1XfZ4MluC7290/9JbKTyaTQTQaRavVQqVSwbFjxzA3N+fis1lHr9dzh+geO3YM+Xwet2/fvg+Q6ruVuVkwYi1HVokLGg8LMmipZ+ibWk19dKXMyV637+J3CjeCAFVmdR4IjtXbRqDCP50XKyTtdzI1ZWh2wywNEQQ8vV7PKSl6htLu7q5rAzM1UVHjfi4AaDab7re9vT3cvXsX1Wr1PlChignHs9Vq4datWy4zExVdBSAWcFo60Dki8GD/1ArLuWGbtra20Gg0XLv+6I/+CDdu3MAnP/lJPPHEE7h06RIajYYDE91uF5ubmy5NeCwWc6CEHh6mwKUSxHnn3gkmiUmlUvcp+rYogLXF138Lxm3RdaB1cDzVY6/eSI7RQw89hFqthrW1Ndd/vlOBQxAvUr7p6yvfbZ+1a9vXfjsmPh5olWQLmHzFx8NZH9cS+YdVzNgv2w/l7fR26v4OPWiT7eOaDIVCLlMY1yUNFPyzY8rP1hCjSi95EOnYygzOL7O0MU16pVJx+204d4lEAidOnEAoFHIJDlgfvT2M6mB/hoeHkU6n8dZbb2FrawuPPPIInnvuOeRyOWxubiKVSrlES4VCwQFApuZOp9PIZrOoVCpufxB5YNBa4VzoWKjyyP+qmOo8qmJCvqm0oe9QYKrv8UU7sA4+y3lRsMqwOm0jlaNIJOLOcqOnLRaLOeWVCSMKhYLzIKq84NEU9PRROSJP072eCsYVI+rasX2zSomuLdJFkPKg1+26tNeVH6r8CSqKRzSzKItdF0Hy3/IBK78sDVmvjv1N9+P0er0+bEE+onKf71IPtFWMODY+2rVr/yjlA6/8cAA0h709HR3oD1ED+s+osBvSdWHyWQs2+dkqLj7gz6KEze8KbLiQ9FklSJ+wtQQbRNy2Hfa/j9nyNxumYJUhZbpW6PvGwFqc+LxmqtLxYh3qZte66XWglZ6LjZvgI5EIJicnkcvlsLGxgXq9jk6ng/HxcUxOTqLdbgOA8xSUSiWXPSuXyyGVSjkFiQtbgZe22WeJIXNUgUSwTFrTBawexFAo5EBDp9NBq9Vye5NIbz4g5JtTtt8Wy2yVJn0AhN99Qpr36Hhov/V+3V+layEcDvdttNZwEIKlVqt1X3hXKBRyQIqAiFZWVRh0j8De3p6L9wfgFCalX59HolgsunsSiUQfMGRfVcDSa8T62UZ6qDguekq8nSOeSQLsK297e3vI5XK4fPkyVlZW8NGPfhSPPvooNjY28Oqrr7qzTegpUi9puVx23p5QKOTOR6lUKlhbW0OlUkEmk8GJEydQq9Vw9epVFItFF9LCEEBmC+Sf8ggrJIMsqJYGlY7sb2rJVOUYQN/ZW+FwGMViEfl8Ho8//ji++c1vYn19HUNDQ86a7wMl+j4Wy3ctD/fdq8UaEaxc0fssINL7bTuU1ym96TNMUEAPoCqavhAr5SmsR/k1lf92u41isdgHIJVXaMZNHSNa77mWM5kMksmke4cFo0C/4SEUCrkMbgRKeo8CSE0sQwWIBrBqtYpUKuUOTSZfJ6/m96B5D4fD2NracoaYmzdv4tixYy59djgcduB9dHQUo6OjKBaLGB4extjYGO7du+cyRUYiEVQqFSfD2A+VqxrWpvOi+041HI9z7ZNRrF/5k492rTLjU5TZTibj8QFRld9sl44pwyOZlIptUT5CPplIJJxCxIgOGjf18FcF2N1u13n9ms0marWaw4rcv8n7OJbWG6GRJVa5VAXIjhvH2fI/pSudGztfyjssn+I9PuypdSu/CJpfn5I0yOuk+EPXnPIfzWbIZxVTKL3wHp0HGymiIfgaAeOTJ0cpH3jlhwtJzyGxIB3oB6dq2eY1FitotCiR6+LQ35VYfRNiFSBLED6Br9+1bQquraD0vVeL9Yrpf32nbau1UKh2HwRy+azugbFA2xY7DtbtqnWoJZHPUih0Oh1Uq1XcvXsXExMTGB4eRrPZdOEP09PTKJfLTrGgJXN4eBg7Ozvu7BhVfqz7PAgMkVFa76EqlLpvQcfcziffwb0oBMG8x2eV4fcgRdTSWBBw098UoFmlQAUH/1uG62uf9oEMjX8E6/ruoaH9rG2ZTMaFOVDQ93o9F17DEJmRkZG+2GCOO8fe8gkKWuAgxlkteywq1FRAMxSD3kgFJzyJHjg4Y0kBi84ji16n0GGyjlKphGw2i1arhS996Uu4desWfuzHfgzPPvssXn75ZZw5cwaPPPIIMpkMOp2OO2etUqm4sDhaw+fm5vDQQw/hwoULeO+99/Dmm29iZ2cH09PTeO6557C5uYlLly6hWq06QEAgyrYBBx490jjHSsthBhf22yfEfePCd5Cv0ztaq9XcIaivvvoqNjc3HYhiHTaFveXRvjZaI1BQH/gOXx8sPVlDiNbne4ZtID/i2mi1WiiXy6hUKgiHwxgbG0M2m3XtVR5klXSgPxlGp9NxIbqcXwJVpjtmCBqNGApOqEQQ6HB+uD5pxCAP5zzoHPgULI1w4Drn/BHIKXjSRAzsI0M7U6lUnzFK6VjDvTjOnU7HhU+SZ62urqJcLqPdbjvFq9lsIp/Po1wuO4Ps1atXUSgUcO7cOTQaDdy+fRupVAr1eh3Xrl3D7Oys42ucg1Bo39OkB/ZyPam3mTShNGyt7Zb+2M8g5VzXqYaI+bzcKssUAwwyetjf2T9r1WemOGbs1foYUsf93vQUcc8ulaRcLoe5uTlHS71er+9MI6btpveo1Wphb2/PZbHjmWx2jFV2qcLDP54jyDkL2vOmY8zx1IgXTT6hmMvOnf6u867zqONt+YqvDvu7NbawqBHC1qvfFTfae1Wh5tjwOzEFIxS4dt9P+a5QfghYlHmqcgPcD97U26IExv+WKKwWP0jbHKSFWkJg23Thaz0KgvWdunB8bbHtDiraT9t+CwLsOFmiVWXSvtOnWNn36XhYxumzcOg9DGnhd537ra0t3Llzxy1MWphmZmYwPj6OiYkJl5aT1nDGr3Pfz71799xYMnyKdGT3QliB4Yu7VaAV9Kxe45gw1ITeBluOonBrsTTFomDjMNDJd1gmRPCgTNYaDJQJAgfnDrGoN5B0RQ9GOp12AisajTpBRoWFWRwJtHj4rdIbvWoMddFwDbZZN9lyLJXG1WLMPnPOer19bw8PGaSRRtenhmKocNC50LlqNBpIJpMYHx93gppeoevXr+O//Jf/gp/4iZ/AZz7zGRfKF4vFcOHCBbzxxht49913kUgkMDo6irW1NZfgYXFxEc1mE4VCAY8//jjOnTuHL33pS3jnnXeQz+cxOzuLD33oQ1hZWcH6+jpqtRry+bwDeNpGKnhq6bXKtaV/ywd8PI/PKW/jn/JR0u329jbK5TLm5ubw8MMP46233kKtVkM4fLA3jUDE8nUfGOD1oPU0iNfaPviu2bp9SpTybDXyECCNjIz0pfJfW1vD2tqaO46CCmu3e5D0QudCgQcVdDVuxGIxTE1NYXR0FKVSCaVSyQFFriFNIsSEG9wMr/KFhoKdnR2nQPGdLFYe2/HTtaOhbixWAaeixb62221nZFE8oECffQqHw0gmk24PHbMtjo2N4S//8i+RSCTw9NNPo9frIZvNIhqN4qWXXsJbb72FU6dOOaMFw+xmZmawsLCAD33oQwiFQrh7966jTw3hp5eVfVdaUfohHSuWUZqxNGWBrS38jfxTr1EJ9QFruzYV3yiwZtH5JY9XHqvtp8FI7+d8lEqlPgVZ/zQBA5WjdDrtzoYcHR11SVGo9DNMkbKFIXXNZtOFLwIHB2JzzjRKhYq5NQbpeGgUiEYPWP5oeZKGh6uCpHRhsZTW5+PL+rtPidF5VZ5p59TnCfPRl1WoVTFkPzg+vJ/0uLGx4eS1HaPDygde+eGEavynZZ68z6eBBtWpE8z7OfhKnFqsJqvXrDKi9VpG4VNk+F8VDCusVYAHFR/wVKKygMMHRO048T4yZ6sMsD4LKm07LcBgG1VRUKavc+jbb6LzuLu7i3v37iGfzyMWi6HRaKDb7WJ8fBy1Wg3r6+suHnl4eP8ch3q9jkKh4DICcfwtYLDMhsJHBYJlHPxMRmvHWseEQIKKFsP0+C4dryCg6SuW1oJCK6xHkvfREqPjoO/mXPC6FgsyrQWJRZk7FSPSIT29odB+nD737zCMgn0iDdE4QqDGkBcAfd4i3/rT/lOB2t7e7rMq8yweKjrsIwWshrxpbLMdf58HgGVvbw+FQsFZzQnaSJOk3c997nP42Mc+hr/1t/4Wms0myuUylpeXEYlE8Nhjj7lMiMyCxyMBwuEwNjY2sLGxgTNnzuAf/sN/iG9/+9v4xje+gddffx3z8/OYnZ3F6OgoVldXcfPmTbTbbaTTaUennM8gPkqa8CnWvvvt2rGKoeWlAPpC+trtNpaWlnDixAnU63XcvXvXGct8hi7fuPt4qgputs/yf9/z2gdrqBnEuy1P1nFWr0g4HEY6nUYul3PW6s3NTaysrODOnTtIp9MoFAou+5kaJHSt+ngL6Z1Abm5uDtPT06hWq1heXkalUnGeae45Y0i6WrcB9IFpym962zmOujfXKo7qndIxVf6jYFMNEwDcmTsEtuq94ponX2DIVLvddh7T3d1d5PN5d2ZQo9HAyy+/jNHRUde36elpPP74485bOjc3h9HRURw7dgzHjh1zitBDDz2Ep556Ci+//DK+/OUvo9lsIhaLubBtaxhRurXKj9LVIFzB+bY0zDmxypXyRiuflS/7cJCud4uPOFdqwCBNsNB7qJiFz5NmrQJP0EwlptFoYGNjow9LUFkPh8NIJBJOEWKGOho/x8fH++SFenZ4JIHuN+Keo52dHdTrdbdWeTyD0jbHRY1oPhypXjz2gbSh46H3qTLk42s6b/q8jqsaO334QJ+1vw/C2crP+D6+S8PwLK4Ih8NujxiTl6ii9/8L5UcFh4IJH8Bk4cQqqPItJq1fFwvfZRc27z/KwPue1edtu7R91rLjY1a8HsTsfNf4bkv4et0qPxZg+5Q+ve4LgfK1ybdAlbh9wIiWbxUMylB6vZ4L02BIW6+3fzp4JpNBtVp1VhxaU5ldSw+VpAWODMY3znrdMg8WtTZbBUj7RQat9EmQoAqwT/nyzZHPi6PjfFSGpe+xCrh652w79P26Rn2Kl48uNM6/Uqm4d3NDP0MU1Yqm7aQAp2Dr9Xou7EG9eGqZs+CCwEaVF9Ka3XfCDGNsN63oXEtsj4IJBbJ2TcViMQe8NNRXMx3FYjG022189atfxa1bt/ATP/ETSCaTeOmll5BOpzExMYFe78AzNjIygmg06uqLx+PodDq4cuUKxsbG8Nxzz+HEiRP4/d//fSwtLbmseVNTUxgbG8OdO3dQLBYRCoVc9iYATgFVXmKLBXIK5NlnXveBOH2OZ8GQHigkQ6EQarUaEokETp8+jUqlgnq97vaaWDr1CXAtVmj7eFMQj2efLKDXYpUOCzy0rVSotd0EZaFQyIX/TUxMYHx8HOVyGWtra04BHBsbc/sagQMvpyr8nBOuJdImlYJQKITR0VEUCgWnBBWLRbenhUCSyWY08YaGo/V6Bxnj1HvEJCDaHh1zG8bDtUtlh7SjvIDjpaGqpFe+a29vz9EKvVvhcNitl3A47KIICJgXFxcRiUTw/PPP4/XXX3eA+uLFi1hZWUGxWMSJEyfw0EMPYXR0FM1mE5/+9KddaNXo6Ch2d3extrbm1hJD6RRfWMxCelDasEYCayhQmvXRbVCxckINDnqP3stiDQ28h/RksYIquIrZ9D0+46JiN44dja/aHirdANBut7G6uuraSICtQJsJGbLZrOPt6XQa+Xy+L0Rbs2jWarX7stRRieZneoxoPOJ682EuxXrELBxT9o3PWv5kDdZ2vnxKkm9/JOfI0ovWY/cR+erXebPzox48LXw+Go32hS/bPh1WPtDKDxkdNWAOhIYaAf2LlYzPWilU4Kj2rO5TJSy91y4uaxWx7eCzWiwz0d+VYWgcM5+zXhH9Tsah7eVzLFxowP1xu7bdvO6z3gQBBQWeRymWgFU50PHRdnITNmkCOPCO6eFtFLzZbBYnT54EACwtLTmFhu0dGRlxGYroJuemeevdsPSm7QwCNwrO1aVriyqi/NzpdNzZNTbULEih9M2X77syHgsMWThOlt71uSDlm/c8yHVtA8dOvT4EISMjI8hkMuh2u6hWqw78sDD+miFBtMzxN+5foOeI/bRzwHo4dmw3w6iYhY5t0hS/HGNdn8pvLL+wvGRrawvhcNhZIdn+TCbjsvC12233/fr16/jVX/1VvPjii5icnMStW7ewvLyMyclJdywAkxiwD1Qepqam0Gw28frrr+PixYv4mZ/5GfzGb/wGlpeX3QbuXC6HCxcuYHFxEaurqy55hJ5dYvmr9s/Ou1otBxmVLB/TUAndmKxK0OrqKiYmJlw64s3NTZcUws6lpTsLJO16Ur5u+SCv+YCnvc/WoWNg26bWbd13RdoC4IwkLNPT0xgbG0OtVsPm5iaKxSJWV1cRi8UwPj6OXC7nEsewjXaeNKyTv/NzOp3GyZMnMTc3h5WVFfcOGpmovJOOqdwob1MP79DQkAOcmsjIN092XlRJU8+CVRqGhobcQdhMWBCPx7Gzs4M7d+644xB4qHC323XeLYJYHvyZTqfx1a9+Fdvb264PVMrPnDmDlZUVl3Cj1WohEokgHo+7DKUTExM4efIklpeX+9LNa2ijBaFKM4M86D6wyrGzwJjFB5CtXFB6O0qxyjrrUG+xzxgUxAOUz9vQfBarGHJuOO5UPhg6r+uKR6gUi8W+5CrMAEiPIec/m80in8+7w23n5+cdRgXQ523kX71eR71ed54j3Wdk8YEqrAr+uXZ0HCxOskqprm2L8YKMQPZZPm/HW++182YNNYoZlB5tPeTpHE/l3fr/KOUDrfwA/S5uEqNqvb5iF0FQvdbVbJk/0A9OgfutdFZIq5LjE4pKWIPAsI8Y+bsVxvyvfbAErAqcr/36WQEux7PXO7Ak2/7aBTCIQIPea+NgdVFzrrmxnUWtzUNDQ6jVahgZGcHQ0BDu3r2LZDKJnZ0d3L17F1tbW30MkpZKxqpnMhm30ZJAi0LVtoPFAiZ7Xa1TvjHQOVag2+v13D4XLUFKKYsFVD5FmN81jnZQsTSka8MCFZ1bu1nSKlGkQxvTrCBHLVtUWCiI1IqogJh7Cmh142ZZhrU0m03XZlVg9TPDxBg2pdZDVUZ3d3dRLpfR7XYxPT2NdDrt6MwaIsjoLdi1a4zWxXa73QeuuAGUIJHjkc1mUa/X8b/+1//C933f9+Hpp5/GG2+8gZGREUxPT6NSqThvERUWBRypVAqtVgvf+MY38OKLL+KFF17Ar//6ryMej7v+7O7uYn5+3qWOX11dxdbWlsuuxUI68CnIQaDLgiEtek2FPYEMjSadTsd55KjwTE5OYmlpCalUqg/s26Jr2PI/X5uOwud84NV3f9D61Da1223HtzW7GTfMkz5ZD5XB0dFRTExMuJC4zc1NLC8v4969e8jlcpiamkI6nXZjq/XxO71OukbpgeeBlpOTk04BWltbc0YqzRa1tbXl5kvHF9jnqaRlGq6ooOs48RmVw7pBWteYepzUQ0TjBI0gBLxbW1soFAouXLrX6/WdezU8PIw333wTzzzzDKLRKG7evAkAePHFF90ek3Q6jTNnzuD48eMIh8MuFCoWiyGfzyOVSmF3dxfRaBQ/9VM/hfX1dbfXjgCc3jIfzfkMCYNoR9edL+xa1yevqwJlw+4JRq0BwWfs4FxYZd+CX18/bfv4PirMKh+U/zMzn7ZbPfeUWz68olsoFLvRS0nPnMo0KkX0LKZSKeTzeacc5XI55HI5jI6OOp5Oebazs+PkE+vnga/qOeLxBDo+9HSrsqBhdDpmvnnQcbZGKB/eDPqvtKZzptd0vnRc9Z2+/6Qz4pT3Wz7wyo+GjzB9oQIwFusFAYK1RWWiPuVBmTN/U8K3KR99YNZe9xGPKlX8bq0jqkxZC6q+x0dU2h7VqH2b8lQwBVkhfFq+vVefsa5pO8ZaLMAedA/Hh3s4ADgGQ0vK4uIi7t2757L2MNyDfeeiohU7l8v17WFRK5pVKH3zYRmIfS6oqHVVLX+0CvroyPd+bYeP3rU9vGa9p2y/MjF9VkGIAi1bB+deGZf1TvJeHXO+x6fAU0DppmZuRibYSSaTCIVCLsMZ6aNaraJSqbjzPFgnFSbdjMp3MIxNaZnCiyA0nU6j2+2iXC4jGo06GqLgVDBB74QPrOn4cf4pVJlVixmFqKzz2e3tbRc687WvfQ1LS0v41Kc+hampKTQaDUQiEWSzWYyPj/dZJoeGhtyxAfSCLiwsuL0IPJ9kdHTUtS8ej+Pxxx/H5uYmrl275iz+HHdL10o/2j9e17kOMhDwP8EN14lVLji3u7u7qFarGBsbc+cYcY/ooHWo7yKosGWQ8UFBeRAgtM9oUYVZ79W0z1ybOo6kD4I98ltmWRsaGkI2m8Xo6Ci2t7dRLBaxsbGB69evI5lMYmxszO2TVE8EQyP1XQq4yAuy2SwymQzy+TxWV1dRKpX6PKLsBxOP6D4snUumyOYaopxSg5MCPPUGEByT5+g5MXY+mZCBz2cyGQdGgX2jGNsSjUaRTqed8WB9fR1zc3MIhUJYXl7Gu+++i5mZGQBwB6Hm83lsb2+jXq8jEon0Hbyay+XQaDTwyiuvuFDWZrOJbDbrvKiDPCzsn8pQiz1UnlgMY5UW0pkmXVBaJK9i0bA3bRPfZ42DKvfZRtavGEQNTzaqw95Pmrd8k94z3ffFtUDjGeu1YVZqUGW7dV+5hi5zXNgnKkiVSgX37t3rA+00vGUyGeRyOZeum8pyLBbD5OSk15tL71C1WsX29nZfMgZmrSUfVyXVN7/sk86tzssgPKFRUDreWqfiEspTxQo20YgWi4f5Tm5b0HG37TisfOCVH3bWAhR7knEQMwgCj/wO9HuXlDHrgqTXg5Y2n0LgIzZti09wKuAh8NfneK8yJH2Hr+3WDcp+WIahihCvKXNQYWwBgY/BBi0selFsbKkNddN6tH8EfdoGjpkNSaNQyeVyztrf6XQQj8eddZhhCI1Gw9WbyWRcnWr5JeNlKku1IPkU6KCx1JTNvJfKDr8zfh/YZwDVarUvyYOPoam13Zag3wg2rKANUnTJ1HTceb+PKfIZn4C1xT6jtMd3MWSRhbS0tbXlrG8cayo+4fBBvD5DcOgVVMWWwJLrg8KEwIlAkkqypiAn7xkZGUG9XsfGxoaL6Qf2Q8wYWknvhBoDFKwC/YlEOOcKbPlO0k0ikbjv7LOrV6+iWq3i7/7dv4vp6Wkkk0k89thjCIVCLpSHCkEul+sLuZibm8OdO3dcSEYymXR8j5bwTCaDubk5JJNJ3L5924U+EcARrHP/kzW4kLdamtQ1Z5UU0oWP7vReri+uzfn5edy+fRuNRgOZTOY+K6LPSm7fbRXUIOF72HXlo/rnM6Ko7FLeZg1zqkD7xlhphzx4ZmbGZb9cXFzEnTt3sLq6itHRUXeGCnkVQ9ZoUFCDBtcY53lqagoTExMol8tYXFxEuVx23mt6B7nvRkNEGYrEc13ouSUABe4P6WJf+Z9jEDSWHH9dc3zv1NQUAGBtbc3JGo4x6ZghT8wsmM/nsbm5iW984xt47LHHsLy87OieGeJqtZrjSQzRpXI5NDSE+fl5LCwsuEyOmUzG7Tm19Knftc+asY+04ts/YeuzQFjrYeFasuOqyrfFNdY7YxX5oxgUVe7aLQC6v0tpQb2IdrxY1HhGWvbJK7ZTMR6LGl11DTNUUvEP391ut1Gr1XDnzh3Ht2lwikQiLnkOM9Opx2h6ehrHjh3rm0diUYbQlUolR1v0HmnCDipI2jbWZw3TujfPepOUV1kMyvWnHkaVs2qo5+/63yrM6tmnzFRed9TygVd+OLhDQwdpavndN6gWkLEoGAvSQIO8GCpsgPuznQEHC9MuTiUYWtV896iS4OuT791KEJY5WeVDx5Lt1bHRd2mb9F22WPDsI04rmHQR63t8c6ZzYJVYjfHWOSBYZvYhMuRWq+XCCngmwOrqqosBJzCmx4Bj7RO4dnx8yq/2Qb0GOga++7S/Gh/PcVTB5fO6sG1B86Hz4gOZvv/6zGHF5w2z9fvGywdmbT3aHlqmCc50IzeFFzek2vBWBYnsl86PFdjKO0grOn7kKUwHXSgU+s5I4bpTzx6Avn0ItOD7Yrnt2PN5CgbdwxSNRrG6uorPfe5z+PjHP44f//EfR6fTwdraGsbGxlCv190YcGN3rVbD6dOncebMGfzGb/wGCoWCC7UrFAro9fY33mazWVSrVcRiMRw7dgwTExNYXFzEysoKbty44RJSAHD7PNQyqcq+b66tAqTzHaRc6O+93r7HbGtry4HWZDKJcrnsDm21BhSfwcy2yffZFt/8vN8SxA9tO3zGEAtIFbTofMRiMZelbHFxEWtra1hfX0cqlUKhUEAul8PIyIgL+YnH4wiFQi4Mh0YA8iha3NPpNM6ePYt6ve6yw7VaLZcYgCCUHkkanXTvGNeKnRvlyzbTJNcgDQ82XbLyRBqzOEbHjx9HPp/H3bt3HTDl/k/K652dHWeFj8fjmJ2dRa+3H9Z29uxZ3LhxwwFNptW/fPkyer0eHnnkEedBjUaj+OhHP4pwOIxSqYRvfetbqNVqLjzTZ8RVvKDeLPVwWExjQbgCWStzed3St465vjuIRlVx0XqD1rw1BPjmCzjY4233j+j9qlRZ3KJrQcO97VgHrTk9ukDH2Rp+beF609Bg1tHtdt25Rj6ZR6w7OTnZt9eIa4ZhdidOnHBtYXQUz+ja2tpCvV53GekqlQqazaaTN2r0swowjXWqzFpMq/MSCh0cf0CZaSO0LM0pv+I8qPeOmFmjroLwva984JUfVR4U5FtNUBeAgnyrIOk1Fp+yYheQErpumiPhcNLUgkHGSYbLsAz1INh2BAFQttGX85z/fUpZEKMIioHXYtuoipllrGyPfbcSta8MUhz0uo6jWiCVPnTBaAw7009yEyMTJ3B+eMAcY741E5ECNh9Y4zgNKpoljPXYObA0SMZES6mGAVDwHca0OW4+etf/vnqCgLcVXrruSPeqQPjKoN/0HluXCm2uBV/4BHCQjYfPWyara82Og02jz3fSA0XrHQuFI0MV6vU60uk0IpGIO7yPgDOdTrs1rHSqWb20TXYsGQrH55U2aO3jPqA//uM/Rrvdxvd///djdHQUlUoFd+7cQSgUQjabdaFkkUgE8/PzePPNN3Ht2jUUCoX7wggjkQhKpRLy+TwajQa2t7eRyWQwMzOD+fl5TExM4L333nN9V3CpXitriAlaUz5FO4gn8jPnleMzPDyMdDrtzvFgaGyQ8cF33SoSg8phSovth9LloDYc9h6lFZ8SpsYUVYBqtRqi0SgeeeQRtFotLC8vY2Njwym4J06ccPvEqFByDpvN5n37b8krh4aGMDo6imw2i2KxiEaj4cJ/mLJeD0XlfNHrQl5twbAaEVmsXOA4UEHy8e6trS13JhewT5/ZbBanTp3C+vq6k+XdbtcpzjxnjBm9otEoyuUyvvGNb+CHf/iHndJFEJjNZnH79m3cuHED4fD+2UFzc3MuCyVD7s6ePYvLly+jWCyiUCg4meuTl1be6n+rCKvc5G++9XYYbWm9VuYEGQr0PRaz+dpl8ZUW37t5v8/To/vT9H1cG77+W7ms+FEVcx1nKotWvvoAvY1SYlimTyFVoN/r9XDz5s37QvW47y4ajbqQVRp0c7lcX3Y6a+wB4I5BKJfLbt8RzzSiwZDGL58BwhrzGIqp0VkcB1VgbPFhbGIb5SW6to+q+ADfRcoP0/9y86QPcOrCtKBHixKbPsvn1Dqrv6nFwHqjeF0Xu4JYXYi2vWyTvtfXboJLn0uSxb6LSoEyGOsd0mctONSxCgIkFlQq4QcJajsfdkwsIGWyA+2zzremhwb2ASzjare2tlCpVLC+vo5jx47h/PnzLt6Wsdl7e3suha+mUNWYep0n9SD42m/7p2OiljwLrnS8e72eC1UKGjtet2M8iEnouPkEJn+3832Y5dun/No6fXUFKc8qKJWR6vO6H4Jlb2/PbRjVdRXUP9IpGbkyeP5OMMTN5mTS/FOli0kGSE+sl5mwuG+HQIn0tLW11acY6futAqSGF4bwUHkneO31evjKV76ChYUF/P2///cxMzODTCaD9fV1ly4c2PdU1et1vP7665iYmEAoFOo79C8SiaBSqTgwS9CoaeLPnz+P6elpXLlyBVevXsXw8DCy2ex9fIfv1D756NoK7CBgbwGUpt/mYcFjY2MolUp9ocsEmFaB8pUgZdnXXi12Tfj4ub7fvgeAt42DAKzKL58iaUONCXSi0ShOnTqF+fl5dw7UG2+8gXQ67bLE0VOpSoh601TekX7Hx8fdvhgFQqosMAyOHiQao9hXArFer+cSKhCQquGL3kzWTxpjG3k/jWR7e3tIJBLY2tpCqVRCJBLBsWPHcP36dQD73mWG1+ZyOZw8eRKh0H4Grk6ng2w2i7fffhunT5/G9PQ0er19Dynf+eijj7r5KxQKznsGAOPj487I0Gg0sLKygmaz6YwjusZZWC/nz2fYtR5s5aGWNi1/s9EJFvconR4mt3y0bu/1yQvtq37WzKP2WTWSaWi9xUEWyNt171uLqrgp1tH79XmdE22HhuQqoLftUWNCr9fD6OjofXPS6XSc12h5edm9n3RDxSgWi7l9RplMBslk0iXoKBQKmJyc7FsbPMeOoXMMn2u1WvclYqDRQtc/aV2jclTZAw7C/3VMtW/8TNylmPpBFB/gu0D5UQJTQTpo85RP6RkEsCwoOgysa/iKZUCWeO1i0MWo71CFJMgKwudICFzwqrQpMdv+836ft4xt13u1Dwo+2F7d/0IwYcfPjr+P6WnhbzYsT8OatG+0qNPCTqsdBXMymcTs7KzLevRDP/RD+JEf+RGEQiGsr6/j7t27uHXrlsvgY/fXWEu8zl2QIudT+HSsdAz5riCaU4VfmXuQN0fHmsV6QVk0hCBoToIUHgvUrEXf3jcIPOpYWOuhNURon2ghUi8DN4syk58Nj7TCXAUO47Btm1k3gRvD2SKRiPPYsL3c51MsFgHA3ZNKpdDtdl3iAnoi2Idebz+EhkqWT/CyDRQwBC3KCxnexX1AhUIBi4uL+K3f+i18+tOfxtmzZ5FKpZyAofdnbW0Njz/+OObm5nDv3j1sb2+7s4F6vR4WFhawvr6O7e1tZLNZpNNp3Lt3zyk/4+PjmJiYwIc//GE88cQTeOedd3DlyhXnUdUzuoJoyVeCntHnCAg4ZuRFvd6+1TWZTDoLJ/mFfYelS9seqzz7PvM7nx9kbbY0bYGlryg9HqYA+YpVgkjrnc7+KfdcA1NTU5iZmUG5XHYJEsrlMrLZLFKpVJ8HTWnPKkIAnFGK7afBkO3RPnGNtFotLC0tubHQPXOkPTUaqGVZ5ZLN0kheQuWHzycSCezt7WF9fR1jY2N49NFH8c4772BlZQUnT57EzMyM4yPcw5HL5TA/P49wOIyvf/3rePLJJ/HEE084g8fw8DAKhQJOnz7tNsVXq1WMjo6i0Wg4D9PQ0BCeffZZfPOb38Ta2po70oP7P33GU46LymOOoc/Tr/uidL6sjLORI5bGLAC1fJLv0IQE9EyrQsxn9R0+pcJ6kLQ96k1WGRa0Ljj3+ufzSCn2scYDiy+DeIB9r44R6+U8aBZHLbxX9wmrcY7HQDDMWOtmGDRDWkm7HDPusaOXiGnqeV5XNpvF5OSki4Bge5nCm/XzbKx6ve4UJYbbsX/qQSItkB5UYVX5z3B2KnGD8PCg8oFXfoB+sK0ac5BnQcEU4CdOq1Tpe6xiZQEYY3PJ/C1TYD0+16xaxli3Wi4otK3V3ApmFfyW2R1VsCrzsuBUmRQJVJmwFfhBIMBXtB1WKbIuZ+B+1zkFaDgcdqFF3MvANtD6Dxxkijpz5gyeeeYZ5HI5Z2U7ceIESqWSa4eCZS5YtiVonAcBEZ0Da+1RWguaMwpwZrPS4muTPq9Ksa9ujq1l7ofV7StWkA4q2h6rfCkd8rulX4J/fTfpk5lx1DBgFWY+w/llCIwCJI6NKhtcz7Re6fxpCBo3bfN5KmLdbtclBmD9vV6vz8qtIILX2IZer3ffnkALQqlQMcSWCuDS0hJ++7d/Gz/6oz+KZ5991oEUnqA9OjrqUmd/4hOfcPVyz9Ts7CwqlQpeeukl/OEf/iG2trZc25rNpjsQsFqtIpPJ4JlnnsHe3h4WFxdd2CnXlo8ObLE0qvMWVEgHnU7HpUVnyAnD/DSFM8fZrmOr9Cqv1Wu2TZb/qQJ0WPHxZa3zsN+DijWWqJeSSQtIs91u122S7vV6Dhi1223nDeLeMVqN2R4FX9Zjod5U8jN+pnLTarVQLpddNlfLI7gumXyEZ3lpaBuLNQ5okgPSBz+3222XyGN7exuXL1/GI488gmeeeQbXr193+5U6nf006twTREPFxMQEWq0W3nzzTTz22GPOy0iFr91u49q1a2g0Gjh//jzS6TSKxSJKpZJLPz46Oopjx4710aLiAp138ku7/1RDjtRopM+oTNd6+S7ymSDatIqLLazTyilVhDg/dr7Yd+X/unasomWjX7Qfg3CIjqvFIPYz76OioWNox9/nlWYfLG7SurjmdCx0rG3GQtIyQ+n1LDxreAyF9o1xmhGXdTL9vfaVciORSCCRSLg03TyHi/yAa+/EiRN9xgcqPzQ0VatVZyzg3iPSqa5FpVOGxFJhYtssRj1K+cArPz4XrC5GC2r4jPXIsFgh5is+MOizOmg7rBJhhbdvcetiVWuDDXnRdqlioO9SC4klGn3epwjxeQ1FsONBhmuLKqF2vBR8+qwyOje+OG57P5UepgGmVZnCUgU53bu6HyKVSiEWi7mzXuLxOJrNJlZXV93eGvUWWMXECqOgxRjUT25oD4p/tUCf40LrCUFyUHsGtcvep4q5TwgcVnxKiu1v0BpT+rSgzPbfN5ZcL3atMWRGPVr2XapgqFdCBbauPbVi9nq9+9KealgSGbkFMb3efkjB6upq34GQaiUeGhpyYZsKzNULRKHBdrCodVWvc363t7fdafNf+MIXUCwW8clPfhLxeBzFYtH1d3h4GGfPnkWr1cIf//Efo9VqIZ/P4/r16yiVSvjUpz6F8+fPI5vN4p133sHVq1ddhqpwOIxyuYxweH8vCQA899xzuHnzJi5fvuyyLh41htsH8O1ccmz1PgUVwP762dracucWNZtNt+fDGq303fb7YTLDp7wHGQR8QMnSvc+YdBRji/3NWvrtWvcZPziGzFQ4MjKC06dPY35+HsvLy1hfX8f6+jrOnDnjlG0qMQRmKtPUO6sAcm1tDbdv33bnalEBYziaGh3YF4bdAHCZsjRMVfuvfFz3J+h5NZlMxrV7fn4eW1tbeOmll/B93/d9+MhHPoI33ngDd+/eRS6XQz6fd9ZyRhkkEgnMzs7i6tWr7nBhhgc2Gg1sbW25jF3hcBg3btxAqVRyhrdCoQBg32N97dq1PgBogTBwsKZVIbSbwX18lM/oPVbm6jM+byjf7TNGsB12fSt4H2QEsAZmFot/fEYI8kafkuczbFi55wPZyhN1P6Z6lFkU+9kxJw3bMdV5tP20bVJZoEqfynDFmDre4fDB/lTKjXA47Lysei9/r9VqqFaruHHjhmtrOHxw0DyznuZyOSfLMpmMixQoFAqYmprqOyePoXNM1809RlzPxDgMV6XctTL4QRSgD7zyo0CDA2EZAO8JsuJpXb4FGCRYgiwDypT0HrUAWKXN9knBOu/XBaAWNAVSvF8tDz5rgu2PVQh9AtkqLOqd4iKw42rfaZlHkKC2jMLG9Nr54TOaLY8lmUzi5MmTiEajaLfbLsyoUCi4RAPVatW1jUpIsVjEX/zFX+DSpUsIh8OIx+POGqkH/GmfFHhZBdunLPM3glMbyx0EfnSeqJhRuDyIR2ZQO7UuH0MJYsy6HvU+q+za4qNJFcQ+hdf2gUXfxd/V5a6ASWmX80gFmQemauH8qhAlgCL9UBBRmGiIgG0fQ9/UE8SwNA2LoxfGGgpUsJMGqKizTjtnpHt6DFutltsP8ad/+qdYXV3Fj/7oj2Jubg7VahXFYhEXL15Eo9HAwsICPvWpT+HcuXOoVCr49re/jRs3buArX/kK/uAP/gCnTp3Cww8/jEKhgEuXLrkQJb6H49JutzE7O4tCoYD33nsPq6urTnjzzCOdJ8ubfQYVHWNVgLrdrrMYDg8Pu/BDnb9cLueSH/CMKOtl8JXDhK1PZgT1QdsfpABacOe7R3l1UJt8slDXO9c/97BZHtzr9ZzluFQqIZFI4MSJExgdHcXKygreffddjI2NYXx8HJlMBgD6FB2fgUXbPTs7i0wmg9u3b6NUKiEUCrmQRN2/qXKV4EsNQkB/mLQaVNTgxHFl9i0qTprO+uzZs4hEIvjqV7+Kj370o3jqqaewuLiIbrfrsiBev34d9+7dw6OPPopz585hd3cXs7OzWFlZwZkzZ9z+JBZ6izqdDsbGxpBIJBAOh3H69GksLCzg1VdfxaVLl7C4uOiSHtAKDxwYNyzWYJ/U6GK9DJaGrHy2xgPFGpbWfEYrLVyLpCc+a42mVsbb9gbJJO2b1sXrek3/q9wG+g/WtnxW+8Lf9bPun2ZbrHfG4ivdI8rCNtDL6uNzfIZ8jjShSpsdE8XC2hY+rzKd93J9qGEgFOo/UJXRJ+VyGeVyGaFQyHmOKcNisZhL6MEkDDRCc78RQ0jViEejZaPRcPy52Wy68YzH417MelgJ9Y6qJv1/qNRqNWSzWQDA9PQ0vvnNb+Kf/bN/hpMnT7pQJrtogftDaFh4rzJ1qzjweSB48bHQUuSzhAwCfdoWn3LG360yZtt+GCHYfT8+ZqjvYF16CKOv+JQgrc/21TJae7/+rovWV2j1o9CmQGm1WigUCs6yzYPGJicncfz4ccRiMWxsbODy5cs4efIkPvnJT6Lb7WJhYQGvvfYabt++7YRNsVjE4uLifaeb813KQINoxceEeY3x79wwaMEbhbzGzhPwjoyMuE3HqrzYuQqiWX0H2zSINaiw03765tE+N+i7b5y0+DyaVEjp8dN7Gda0s7ODjY0NNJvNvtAwm8Kz1+shkUi41LLAwV4eFtIDcHCgnq4Zgjs+R6Gkiq16nijoqLjTuqWx+DzzYWJiwrWLa03P8gHgwgdUeAWNJftA2iPA3d3dRaFQwEc/+lE888wzaDab+N7v/V63dhqNBsrlMnZ3d/HQQw+5A/du3bqFV155BSsrK5iamkI+n8e1a9ewsrKCY8eOuVTTDF8C4MIA19fXcfXqVVQqFbd3hEKXa47jqnM2qPhAmtKlKvipVAq7u7vY2Nhwiie9DVZJ1jCiw4pP5vD6oGcO65ddB4BfibBWe63f8lpbn77L1y7LmzlGQ0NDqNfruHPnDur1OqampjA7O4uhoaE+L4/218o1emJ2dnawvr6OlZUVl3yBZWdnx1mZSetcu61Wy1meVdlSGcFU+MPDwy4BSjabdXw0lUo5HsEMjbFYDL/1W7+Fl19+GU8//TQeffRR1Go1rK2toVgsukODn3zySYyNjTkabrfbeOihh7CysoJarYZz587h9OnTbg8DlZ5arYaFhQW89dZb+Ku/+iuUy2W372hjY8Od+ZLNZl2f6cXS/cRWjqsiFCSPVJHUaz4FHPB7XqzCYJUiK8ct/mDRtqpxSutjn4KMqWynGil9aytoHVt6ZJ/U2GTr0d9VqQkaS7t+VWHRbRM+pY5rze6BtoZCHXNVbH1eMF4L8vapnOOaosLC+bE4kc/zmipfDJ0bHh52Ke+z2axTiKgsEWepklapVPDkk0/i2LFjaLVa7n0Mrx5UPvCeH6CfqJRIdNErWATuX/RKrKr56/M25tUqRUD/xjtdvFwEajEOAoxBffSVIMVFF6YlYusaVRe5HRutk78FgXxfv3yLytc3u8h8AjlIieJ3gktVwvQE9Ewmg8nJSayurqJcLiOXy6HVauHKlSu4fv06KpUK6vW6i9dm+Bu/a0YW3WiqSoP2Qft2FPBD+iAAtf3nGKqAY+l2u+4MImVEfOaoVhEffdvxtmtImehhiv6g/vPaIKVLvWo+Ic3P6v2lh8OGKVpFTz0+tAgrSAYOhCgVDM6XKjK0yOr8qRVO15vOJ+mUh7JSseK76/U6tre3cerUKXdSPMGg7u2hNV4tij6aZGF7YrGYC1NLJBIol8v40pe+hNXVVfzYj/0YRkdHEY1Gsb6+jj//8z9HvV5HoVBAOBxGoVBAoVDA3Nwczp8/jy9+8Ysuq9uFCxeQSCSwtLSEfD7v1hGz1zFEZHR0FI8//jhu3ryJ9fV155XiOtYMQuwvx8juI2D/fNZajoW19lIxTiaTaLfbzthDevLxzsNoXOnzQRWgQcWuA9+aVL4Z1B59LkjB8Sl5CkJ97wTgzvRZX19HsVhEu93G5OQk0ul03xxo3cq7qZBHo1HMz88jmUxicXERm5ubbo2SN/MsHIaKNhoNZLNZtxcnn8+79wJwoaxMHkDwxXPduPdub2/PhQDRmBQOh/EP/sE/wLlz5xAKhVy2ulQqhY9//OMu3I9GrFAohGQyiaWlJbeX4r333sPIyAhOnTqF8fFxd21lZQWXL1/G0tIShoeHMTo6inQ67aIWGAqUy+Wws7PjDDU8t87OpcVGlJE++WHnQGUx6/LRke93BdD8zSo/h8kklX00IgUZMPQZXxkkK4D7lSMfrtIkCmwTDd1atyoAKovs+CpO1PdRNnDM+N3KE33ezoniM+UBgwwZ2lerZCru431cD9wOQb5ss6Fq/ToWKuN4cHapVHI0CsAZKBhSR29sNBrF+Pg4Wq0WPvShDzlD98jISF/I4aDyXaH8KKBQa2nQwvQJBiucgiwIJEgFTpZB+IjKKh/2d+AAqPmAPa9p6IGtm9+tEqNWC4J2BUKWyH3t9i0gfdaOk9ahi9neqwvJLv5BXhPfZ2YZobVWT2re3t5GtVp1e3u42ZqAM5/PIxTaT39L63oqlXIJExqNRqBSbPvtu6YlSPkNhfpDpix92vqVbnq9g8NbfeEgf51ymPAbJMQGjUXQ+AQBRRa+L8jyrowbONjXoYoEiwoiWp64DoGDzdj0BJBG9CwdgvJQKOQAs1rvKDjJ/K2wpPIUCoXchnINX1OguLe3hxs3biASiSCfz2NsbMy1V70Y9G7ZkAr1Yin45P0KHhOJBADg61//OmKxGB566KG+TaiLi4vI5/N47bXX8PzzzyMU2s92VSgU8D3f8z0AgKWlJWSzWXzkIx/Byy+/jDt37iAej/d5nUi/zWYT8XgcjzzyCMbGxrC8vIxGo4FWq+UEKi31zHCoBwxy7vW/pRtVeKziwPAm7tmwAIYeRI4vAZBNMqF06ON72r4gfqLPBxkxtB+8X2XTUdoW1C7f2LENVrG0Mkgtv91uF3Nzc0ilUlhYWMC9e/cwNzfnDi+1IIt0SqU+HA6j3W5jeHgYMzMzSKfTuHv3LhYXF/uUF6bcpReRMoA0AsClNtcQHH7Xzdz1eh21Ws2dkRIKhZwnKRqNolqtIh6P4+Mf/7jjG1NTUyiXyzh27JhLy727u4tXX30VS0tLbs09+uijOH36ND70oQ9hfHwctVoN169fx9LSEmq1GnZ3dzE9PY1nn30WhUIBOzs7ePfdd7G6uopkMomLFy/i9ddfd1EO6oHc2tpy6yNonlWGkzbtpnKfXBpEG1bp1fusgcnKezVI+XCTVYzZPqs82WgT23btr/U+KVD38RL7m9bje0bbYj0gvKbts++x9/A3xUc2vN2Os/IuLUGYwMenVH5ZZVrbq/Oo4d/6LqUN/qZZHrmPjXxW+8AscqVSqS9KYmRkBCsrK3jhhRf6ojSOWj7wyo8F6Lq4lACsILIMnNco6HwMg8VHpLooVBmzz+t9tg8WSPoIxvbTLkLtp29c1D2ubQqyxJAYKaSscmKtGD7la9B1FdQcM9s/C775u96nXhhaxAmW+DuzvsViMUxPT2NoaAilUslZ92zaSApJ3Rvgm2MdPxUeQQAjSFlQ5V2ZB/vG9+qf/kYgrmEA+l+tNjqeQUqIFp1v3n+Y5e6wsfAJvKO0Reu3NG4t9EB/Ol3yBV0rvB6NRl1M89DQkNuYzJhjpSsVcFSQ+C4tKuTtvhUFH/Te0BOinkV+1njuVquFzc1NrK6uYm5uDmNjY31947sZMqZZgKxyyEKP4fb2NhKJhBuzQqGAr33taygWi/j5n/95FAoFFItFzMzMYHd3FwsLC8hkMvjoRz+KbreL1dVVXLhwAe12G5ubmy72+wd/8AfxxS9+EY1Go89gQaHX6XRQq9UQiUTc3ofFxUWsra1ha2sLqVTKzWs8HncWQ7vPb5Di7CsqpKlEck+QrnErGxRIaV22DUprvrYFAQ97bdB688mxoHqCxsDy8aD3+Kz6+oy+LxzeD+PM5XI4e/Ysbt26hYWFBUxNTWF8fLwvg6Km9aVSGwqF3N7MXq+HZDKJhx56CJcuXXKJNsbGxlAoFFCr1bCysoJMJoOpqSkXxhaPx112KB72SPCkhg3y3kgkgmq16hSwer2OTqfj9hKRNkKhkDNqMAz/7t27iEQiLuRzYWEBX/rSlzA5OYmxsTGXnndvbw/Xrl1z+3hmZmYwNTWFbDbr2luv1xGNRvHwww9jfHwc4+PjaLfbKJVKeP3119193L+XTCb7MoNxLvTPyhjSu/Inq8xybm3d9vdB607lpoJ9n/wMolkL2pXHH0VhG6Tw+7zj2nbKe40A0ZAz5QPWo2kxjE+xoRzwGRdsndZIre+2yo/2wTdOD2IctfNL2cZ1y3aoh4w0p3NPXKBGWjXk+HiR7nHjvaT7RCLRt5XjqOUDr/wA/lhuH0AG7rdSkOgtkLbFJ+CClBFe0/bZ9qrg1PYMEuK2f1aR4gLSZ22fbKgCi3rLtNjNoLpYfGNsF7nPOhPEkHxeJAX52ldrtVXASgalJ9RzTw73Dhw7dgwXL17E3t4e1tbWsLm5iaWlJQdy6QFg6lRLI3YOrDVJ2x8EemzxKb5kHqoM6f1aN61MGgPuK/rMURUZO/dHKUECKeh7UBuPUtg+ywC73YN0trzPJ9hIJwCctZfgP5lMIp1OY2hoyO1X4YZ93bzN+ixPUToh2ND+07pFMAagL6UwlRZ+pmUtkUig3W7j5s2bqNVqGB8fd3RLz6d6pFSxt2sJODi8l3+hUMhlP4vH43j99dfxS7/0S/g7f+fv4KGHHkK5XMba2hrK5TJee+01fOxjH0MymUSpVEKlUkG328X09LTzms7NzeGpp57CSy+95N6pwAs4OKCVa/fEiRPI5/O4ceOGC0Xj/gld70FeQKUP7avSB8eEc97t7mf5KhaL2N3ddRtqLThh+61RgXTA/0dRRHzy4ijC3FrqfYkhtD0+48cg2aXX+ZuOtb7bjg0VGvLiWCyG48ePY3l5GcViEZ1OB+Pj40ilUg7UMRyNYIdrgoo8va+f+MQnMDs7i5dfftllJMzlcohEIkilUsjn805JGRkZweTkJJLJZJ9XiGPFtcxUvM1mE5VKBcVi0SnYu7u7eOGFFzA9PY1ms4lsNou9vT3nVWq1Wk6pYirfVCqFF154AZcuXXJ1l0olvPrqq6jX686Q8ulPfxpTU1Oo1+sol8vu4GClc43YYNbEdruNY8eOoVar9dEnx97+WcCsAJ1KkY/v8poq/j5ZNYhm+I6gYg0APrpX/qXtJY8PaottQxC9k4+rzPWNg3qfVO5wvdo9ovZ91gCmShzlh5UpKtsVh6gHiO3g+NDgFcSfuJZtm1h8ypOOU9B+YlWsFbtZLKfbSFinpUE9p87Kde4D6na7br/PYThGy3eF8sOibnOgHxBpUasq71Pi9RWtQ4nVEr8FxLZ+wM84rNBQ0OxTtrReJZYg5Yfv9RGHT6mxfVXlSRmmvl/7zqLC2VqWbBtViWCxCpMuWFWIuBgZukArcr1eRzqdxtbWlmsPhR3Tk46OjmJtbc0lNaCngM/7rDW8ZhUPtWYcBbz4imYgUiGlAFrnUvcAETSrNUbnwNIS226L0pRvnjiWQeVBmNCgd7+fZ4GDtcG9L3bzpRaCKg254d6PsbExtzdsa2vL7bWh1YkhMgTNqthYxs55s+tAhTfbYb0+rJvzT4s5aYXnrNBCzM3ZSodKT+oxVCDLfTZ8RyaTQa1Ww8jICMbHx7GysoIvfvGL+NEf/VF87GMfw8TEBNbX150Vf3h4GNPT01hcXMTS0pILb2Kc9uOPP467d+/i2rVriEajfUaSUOgg7I/GCgBIJBI4c+YMlpeXUS6XXXia8gLf3Pp4qq8oyOA8MCuR7qXgGPEZziFBhlVggtpmebbPa+P7b+uwzyqgUWDrK4fxpaDfLWjS4lNAeVgv09ky8+a9e/dQqVRcAoFMJuM87TxyQJVw7TMB4mOPPYaJiQmUSiVkMhmXCY10H4vF0Ol0XBIkKlntdhtLS0u4dOmS8+rs7u6i3W6j2Ww6owNlH7MU5vN5fOpTn0IymezL2KYeU9Lt1tYWKpUKjh07hueffx5//ud/7kAaE4Zsbm5icnISw8PDfaneOZYc43g87hKFFAoFLC0tObDHcF5mMqQypuvbKuAKPoF+0Mzv1lhqjTl2nq3ionLcp3z56Mt6En1rOeg5m5GTdfmeGySbfDJbx0xDkUkfBPE+j4ztr48PBSkmvmetfNP7df1RWVU+YUO+te6jyFsfz7LGWC1BnifL27T9Fr/6FGI+w+ytNLIwyuGo5QOv/Fgw6BMUWqwCYBexZexBygkXuLUUWIajTEMJ006+j6ht8SlC2g++wwJdfrZtsADNR2jW+hDknfAtaj6rCoF9Vq/7+m0XCxe1elo4DwQh0WgU2WwWOzs7uHv3rrOekRlsb2/j0qVLSKVSLjyiWq2iXC67MLhut+ssasCBJZ79Is1Zpvt+iwJSbasyVYJkpRerFPV6vb59P7p5cFCx68bOqf2Nc/M3UXx0YC3ctvgUVOAg5M0qJnyGoJxnDvBdExMTiMViqFQqDqQRWCQSCbfnZHZ2FhMTE1hdXUWpVLqPt6iCynfadcY5pKeG6Xo7nY67RoBGcKVjRGv4zs4O1tbW0Gg0XIbDRCLhlBq+S9eUrulQ6OBwWNLTyMiIO+Cx3W4jn89ja2sLv/3bv41yuYy//bf/Nn78x3+8jy91u/tpfy9evIibN28in8/j1KlTLoPPI488goWFBTem9KRxjGwCCJ7vMDMzg3g8jtXVVUfjvV6vD/Dp2AcpPJb3+OaMlvtut+uUXV8aeh9QOqwo7x/0m1V8tH7fey3w4hjYe6y8GdQOX78skPO9l89wU3Mo1H+g4tTUFNbX11GtVhGJRJDNZt1ZIPF43M2pT6bSgx8OhzE1NYX5+fn79koy1JP7b0qlEprNpguh4/p655130Ol0kM1mHa+l8kSPH8H1jRs3sL6+jsnJSWxvbyOdTjuvcjwedwk8hoeHEY/H3Xqit5On3k9NTbnU9fPz88jn8062KJYg2I5EIkin06hWq33JSHZ2dvD2228jm80in88jmUy6uVCviM6xjqfKUIbC8d3qUbCywGIma7BU2lXeYuk1qPjoztKtAmUNiVL61Od1jdsQN9942Wdsuzg3PgPLIHxn156vbsWxQZiJRQ3xdr2rbOG9Fv8ddY+MD5faMfTxJBtRpMY36+VRLOczJtl26xYO8oQgfuYrH3jlBzgQ1Lrhm9o5i28xBhGfbwCVsPX3IK+GrVcXltXa1YOh79N28s+n2JAYfIvDV6c+5yNobZO6mNlf37jqn7UKWMtSULssALfjoAqcjxFT8HBh8FC6jY2Nvo3ae3t7uHPnDnq9Hk6ePOk8QysrK1hdXe2L4w2Hwy4Uzu7nCFpkPoXBV4IAPRc0F7cCQWWMNsSB82M9HUctdsx91h2WB1V8Bim4WoLGLMjSTA+Igi5dI+o299XLceazBF88iG1pacm9h6dl7+3tuUQYrVYL8XgcJ0+exPj4OBYWFlysvgLQXq/nPCrK5K2AoCWX+43C4XCfIsQ02HxWaYQKnB4UNz4+jlwu58KH7Nk/mvyA/EXrVlBBRYyHTH7hC19AqVTCz/zMz2B6ehrh8H6YKMEIlUICNmCflrgBfm9vDzMzM2i322i3225sYrGYs+Jz7dVqNbc3LxKJuIP2CDzZDx5C7ONByn9JC5aXEaw3m013KB/7ZMGFpUvLqwbRvOXvWmwbg57l5yAPjwK5o9bnA3P2s/2dtEfwQXnEdUOgo3MSi8UwOTmJpaUllEolFAoFdwAonyfAtPsqVA6GQiG0Wi1n+OJeIcorGiny+TxarRZqtZo7QJT7OW/cuNGXJVO9HsoXarUaXn75ZXzyk5/E8PAwtra23Du5bklnVLqazSbGx8eRzWaxvLyMVCqFlZUVFAoF9Ho9F3J98uTJ+wAd66hUKlhbW8PCwoLbX5dKpXDr1i3E43GX5YqJRNQo5wP6HDeNGLDRLBaME9/4vAeW3vR5XTNBWGNQXaoIKj2zb8o/tV7bV9/atYZiO0Z8xtatdEzaDBpj28egSKSgEmR04H+LD+09XId8t3qpeN9hCtZhbbJjwnGxoX+W1oLowspNu+1CDVuU8Szk30cp3xXKjw4KcL/bVS2+uuDt4PsUE/1vF5G9z7rsrEvQ55I8bPFaAre/63eCKt38NUjY2z4GKUe6qOxnvU8XgFrhfJ62BwHPPiGs9aiQ5V+pVEIqlerbcwDAKcjM9tbr9ZDJZNDpdLC6uopKpeLShzKUoNVquU3oXIzstyq/LGoRGjS3et0qNaFQyFk/udHexxSUxlRoqrI6CHwFKV/sB++1cz7IE+NjahawDHr+MC8P32GZsIJ6XuOccdxsyKsmK+Aeknw+j0ceeQRPPPEEvv71r+O9997ry0zT7Xad8kPmS4D1yCOP4PLlyy5u364BFRZUvFQZ4uZN5WGc51Qq5Vz9PJOHMc8EfwCchb1cLqPdbqPRaGB0dBTJZNKlftd5UlpQby0NSlSEqABSgSoUCvjGN76BdruNn//5n8fFixcRCu0fRNnr9bC5uYlQKOT2YjD0lBvU7927h3w+j5mZGWxubrr9daHQ/n6mubk5jI6OOmWO5z380R/9ERYXF5HJZHDv3j2Xotqe8aReGksnSpdWMHMdtVottweFyieLjpU16vh4rOWj+pu9R+vRtvnWsU9ZUd7o4xG+vrMfKqOUJ2n9vvcrOOVzVF5V6afnkgYEeoAWFhaQTCZx5swZN5dK05wXbYNPrlCBUJnQ6/Xc4aiNRsOtzWw2i8ceewxra2vukFbLp9g3nid048YNLC0t4fjx4/cBSGadY//U+z47O4tIJILz588jlUoB2D+LhHRF2mW2yFKphM3NTZRKJefpjEajOHXqFE6cOIGvfOUrKJVKLuV1o9FwSU/0SAY9UFTHSWlN14kaPxQv2Tm2vMPSlC2WnhWUK45Qz5Ot0+If246g9aEKh12figV9Hi2f4qT4SnmvXWcq56yCoWvPKknaJiuDLS+w8t2nWCk+0/f5lDPfOPv4pZ1n+16Op86lxeV2DrQu0i3HVQ2/lJ2Kw/j+BzH6fuCVHzto1hWpjFgX9SBFQOsbNFG6qJSBDAL4Put00MLQNijjse3RZ+xCZx363/deBQWWsJU5+ICtZR7KSLUo4fsIVxmuMkld7EEMju8iQAmHwygWiw7QNhoNBwYYCrW1tYV6vY5QKOQOadzZ2XEhCzwl3G5g1D4PAjRW8WOxVjalWV3cwEG4HYUpBauCL20L4+cjkYiz0jMsygoNtVQepdixD6Jz3xzxetBvWo7SHisggfuBJOnNChU+z3AWjms8HkcsFnOHFFIB7vV6SKfTLg00N95vb2/3nTS9vr6OqakpPPHEE3jnnXdQq9XcGJNZK6CwvKTX2w/DGxsbw7Fjx9zhjgzFZPYxhtgQaKnFmsJYLccrKytoNBqYmJhwZ/UMDQ05T5YKF1UgLV1SARsaGnJZ1kZGRvDGG2/gP//n/4x/+k//KT72sY85ZWl7e9tZqbvdfo/k2NiYy+JGpYzzyeyKPHOJYawjIyMYGxvDD/3QD+FrX/saSqUSotGo61+73Xbnv1BxIT3pmtI1Znml0hd5RSwWc143O9a+NWBBkOXvQcBxEB/x/a6/6TM+vqsWdD7HZ4M88nrN1wZ9nmmW6eEbGxtDJBJBu912B3TS80KPCb189BBevXoVoVAIp06dQjqd7msv96L5vLwESGosCIUOMrFxTNiOarWKWCyGZDKJs2fP4u7du3jttddcaKieIUVlCjg40LhUKuHEiRN9INIaN5W+QqEQfuRHfgTDw8MoFAougxzbkcvl3H62Wq3m9hcC+8lWJicncf78eRdOx/1KwL4CBeyvmZmZGZe5jpiH+4h8ssgqOeoNVg+B9t9HX1Z5UboJUjaU7lQGKYZR5ULba43KfO4wLKXXfHRs16W2wbZN20PMYeUL79eoEx+fsW3QP99Y6zNBhiz72Y6R9dL5FC+tx+IT5SlWadQ1yHEC7k+N71PmeJ8qbDo+Wj/b4RvXo5QPvPJDxqcuSJ1MXeBafEqQbyJ8RKUWAV3AlnAsOPMJKusx8LkjfUTKdpA4fM+qsqSMWRUmbUsQAfkWhO83S/CWqfAaGXKQVVZDCAH0AQ5NwKBueL5bFQuCTyoPqvQwd/z29rYDktxroa7TcDjsgK72xS5cZQJByic/Wzc5Q3VsaAd/0z7r+KhFtdfrOYGusd9BB34pIw9SgHzt53dto2V+wP0hc0EeqL9OsUqObZ9mebO/AXBAge3koYmdTgelUgmhUAjT09MA9umrWCyiUqm4ZAizs7PY2NhApVJBp9NBq9XC+vo6Tp48iWeeeQZ/+Zd/iXq97jZ88/1su84l54CextHRUZw6dcpZgJlZjSE+pDkqFASG3OeggIzK/eLiIlqtFqanp5FMJt39etYOaYxjqutAlYhUKuWUp0QigStXruA3fuM3MDw8jKefftqt8dHRUbd3gv1tNptoNpvodruoVqt9IIF0TSt6pVJBOp3GxMSEU6h4aOp3vvMd3Lx5E6Ojo7hx44bzHqm10Lf3LRQK9aVN1bWo8qPX298/R5rwCWKOoRYd90G0y7p8AM2+xz5n6fmwtaXr0QKtIJkz6L16z+7urlO2JycnMTU15fbDMOHA1tYWJicncfPmTTSbzT7eHY/HMTk5iY2NDVy6dAm7u7u4ePGiU0JU9gWFXSn/5TPcs8Z5BPb36zEcbXh4GKlUCo888ghu3ryJpaUl53nVTHM8ZJTK3eTkpIsKUP7G9zIsFDgIhz9+/Lj7HgqFXJbCGzduAIBTdnK5HKanpzExMYFCoYB8Pu8SHrz11luIRqMYHR3FT/7kT+Ly5csol8sIhUK4c+cO1tfXnbGPa009beoJUwVNMZJiCgu+g+hU5bGlF11LKifttgQ10FkZ63uHD1gHrYVBwFhpJqjoOWyKrdgeeutUYbTrTPnPIGOhVVKD1iN/C1r3VsG07+NzPu+b7912rpU2LBawWFVx4aA263M+3Krv1/a9H8UH+C5QfqyWbK3Z1jtjmaktPqCnn0Ohg03BQQTp2//jUx508hS4BylqLJYgbH12XOyC0nu0blXgLHi1RMd3BVnhtH0+JUgtsbZOVdw4Lqrh+8adYId/BHTM5kMLEkPeaMWjcpDP51EoFDA8POxAFIWbnnlix8kuQB+48M0nQRbbyix1FgQPDQ05j4MCevaHY87fhoaGkEwm0el0nIVVAbYC2kHx20cphwmVQR4cnxXyqB6oo7SB4+rzHBJ4ca8Px2xoaMidC1Wv17G3t+c2U29tbaFaraJarbp7MpkMksmkO/wwHo+jXC5jc3MT586dw/d8z/fg61//ugNtNgQuyDhRrVaxurqK06dPI5fLYWxszIWrNZtNFItFrK6uYmNjA3fv3kW1WnUAh21jnaocdjr7p923222MjY1hbGys71BEa/HVNcf6yf80zS8NB5cvX8b/+B//Ay+++CI+/OEPY3R0FDs7O06ppxelWCxiY2Ojz2iiqcY5NkxAks1m0el0kEql3Fo4d+4cZmdn8fu///solUp4+OGHUa1WcePGDdRqNee91fo47lbxUYOEpS3eo9ZbNVgdRrNBBiYfWLR8/rBi+b19n6/oey3vssrPUdpDUE2esrm5ifHxcayvr+PatWvI5/OYmppCs9nE4uIiGo2G2yPDjG70yoyPj6NUKuHKlSvo9Xp46KGHkMvl0Ov13JxR0bLeAgXvqmhTzmgoHNOx89DTiYkJd+hoJpNxiTkSiYQ77JrJRrhXR/kK2xcOh10YKhN50EBA3kEZxENKc7kcMpkMTp8+jYmJCZdoRY167XYb6+vraLfbmJycRC6XwxNPPOEyxYXDYdy5cwfLy8sYGhpyfJ+eSq498gafvOd1n9HSR+MWQJMO7O9cW5Y2fWttUFv0ecVu2hc1SitPU55rZYGt29dOuw58YF5luvVM2TXl8xbrd4tPfW04DPjbOeRni4uVhu0zllcF8QIdD8tzec3HY+z9vms+HG+/PyjfZPmuUX4IdjTtKIleB8daF/Sa1mnv18UcpHTwPoICn+ZsrdT2/b59Q9biwd98nqUgK7ivrfoevV/fw+dpRVVAYPuhbn4Wa0WyzE1BiV63mr7eE7QQCcyU2TOLTiqVQqvVQqPRcOlrCfaGhoaQzWYxNTWFUCiEer2OSqWCXq/nwnEajUYfELTt0/lQD1fQolSrGwHAzs6OA9G5XA7h8H6yBcaF02OltE5639raQrvdRq1WQy6XQzweRyqVcqF84XD4vtO/fYzT0uxha+WwclSF5v0oPrb4FFLrSWMhnRG4zMzMAICzlDKbEi24hULBpbjlYYpXrlxxc53P55HJZJyitLGxgdnZWTzxxBN45ZVXXAgW361tZv/Jq/b29rC8vOy8HgQWJ0+exMzMDEqlElZWVrC2tob33nsP169fR6vVcm1WyyP7qXsmqtWq2/swNTXllG56PKk00qrJcYzFYmi3225NEBDqGF++fBmf+9znUK1W8SM/8iPIZDJotVqo1+tIpVKIRqNoNptIp9POos76uLa4fnd2dtx4N5tNTExMoNfb93BOTU3h5MmTeO655/D5z3/eeZgikQju3r2Lzc1Ndz6RZrCzANkKUR9NqbFADWwAAte4VW6UHoPu9fHUQULdgiTfvUFA6yj1H6WwXp7ls7Ozg3v37iGXy7lza5555hl33s23v/1tVCqVPmWS/aDXpVgs4r333kOn08GFCxeQyWTcuzh/PsONHV81ONBLzrVEOqSn/+mnn3b0TB6gXmFmclTjVDKZ7DuTiOf78IDSzc1N1Ot1Vw/rZgbFF154AalUCslkEnt7e7h69SouX77svGSzs7Mu1LNWqzmAzfELh/dDYCcmJjA2NoYnnngCxWIRr776qgvNVXrl+gqaQyu7rfJCmcmxtmBUjTrW+6F1+oyGVjkJet7ON+tUmavr2rcGtS1WibZl0JrS/mj91nPjUzqsUsh++/a2+TCnT7mxv/O9PqVG2zMIB/jm1JfgQXmrz1uobfAZWXxzqe+w/HSQR/Ko5QOv/KiSYIlSiw+0Blkf+DlIe7YKEd+n4FcZhbbJZ7GyC0RBm2Vclrhsfy3z8t3nYz7aHp+SZ5mIrVsVH6vo6cJRBchalu0cKJPggtP9N8okWYeebROLxRCLxbC1tYXR0VHk83knpHV+rUeLIUwUkqxfQ+q0sI9qOT+KV0X3VgDoO2QvlUq508h7vR7a7Tai0ah7RgEirfIMnWi3227vj3q6NKORbbulBd/4+OhgUHm/3pyj1h1kiPB5KPU7+0ZrbTKZxPz8vEujzLCs9fV1FAoFjI+PA4A7xLBYLKLX67l9ZN1uF4uLixgfH8fs7Cyi0agDS+fOncPq6iru3LmDeDzeF7Km6wPoj3WuVqtoNpuYnZ11e33Gx8dx9uxZVCoVtNtt1Ot1XLhwAdPT0ygWi1haWsLW1lZfJjT2m/9pnOl2uygWi6jX68jn887irJvN+TxpDYDzQPE/M7Ax3AwA1tfX8fnPfx61Wg1/7+/9PWQyGbd+uWF8YmLCrRfLFzg2VOiZYrtWq+HKlStIJpN45plncOrUKZw/f94dGPnUU085/sZkCI1Gw4FU0op6QnXcLR2x0EBihT6VyqDiU4C0PKghgc/YdlrlZ5AypO2y68fKAl4LqqfX67mzNchnk8kkFhcX3eb+69evY3FxEd/7vd+LD3/4w45GabDhGLA9sVjM0fPNmzfRaDTw5JNPYnx83Hm2CRJZLA2xTs4Xk8UoVohEIi4RDvkAzwHiMzQCUImi5yQej7t9dwsLC+4w1Far1WfUisfjSKfTLuEHecXk5CQymQxCof303zs7O/jWt76F119/HaFQCBMTE0gkElhaWkIymcTW1hZu3bqFdDrtstW1222srq5iYmICyWTSzdnc3Bxu3bqFGzduuIgFGgV5zyAMxOtq0FOsY72G/K6GAUubWp/usVQ8w/rtXg6f98fXZspci2/YPh++UDo/arEyxBqmbdtIT5ZmLc4apEBpXVp8fEsLZZwq7WyPzpWPTwVhR4vveF15qcV0dg5t//Tdtp2830er9tiPBy0feOUH6N8IZxMe6OcgYrEMQYnUToCPUK3iYb0vOnkW2Ou7dc8H69G2W8bCelSQWWCl7bKMwS4wfT8J0FonON6+sVQmpm30LSytQ8NQ+Jxtm86xBY5sq1r24vE48vk8ut0u1tbWEI1GXZjA3t4earXaffvD+GwodLCJMRQKOSDom0ddpAoSLV0EgSBlfhS0zNRVr9dRLBYRi8WQTqeRyWSckrO9vY1QKOQ8E/zM929vb2N4eBjj4+MYGhpyYFhBH9sYNJ++chigCyo+QPbXUY5UmA6iR997aakNh/dDGguFArLZLNLptEuS0el08O677+LixYu4cOECisUibt++jbt37/YdfEnPiCqY7O/GxgY6nQ6ef/55rK+vu8xXLKRjHVOCtna77VLwJhIJjI6Oolwu48qVK5iamnJhNUNDQ679x44dQ6PRcClxK5WK28StfEHnnPsxKpWKOyCVysLW1tZ9igI/k5aY2Y1nH4XDYezs7KBYLOKLX/wiisUiXnzxRYyPj+Odd97BtWvX3L4E0rzumeF3to2gcmNjAyMjI9jc3HQGBh7qGIlEsL6+jhdeeAG/+7u/i9XVVUxNTSGZTGJpaQkrKytuf4fuk+NaV9CstKpC27ex+Ci0O8hwoHzD8k3lHT6wyv82G5fysyA5wHcedR37ZByLtk+zG964cQMTExM4ffo0tre38e1vfxvXr1/HG2+8gbGxMXS7+3sxedCtyhzyrVKphHv37qHX6+Gpp55y4Y/qJVNaVh5APqr8VeXHyMiIO98rGo2i0Wi4EE3SOPfOaHhsp9PB8vIytre38d577+H27dtIp9OYnJzE6OioO1sLOAgj3d7edntzxsfHXSISAvabN2/i7bffRq/XcwaWpaUlAHBK1t7eHp5//nmnLN2+fRvZbBajo6NuLVKRO3nyJG7duuX6SoMg36fzqmNmx4l9sPQbJIstPVgDoBrufO+yHhgfzfnWQ5ByZr1Jti67hnxrNciQpvUojwxSzlQZsGvI8hu9195jPwcVVUpV8fKNU5BywXp8uNPyD8Wellf6+KS+Sw3GVrHS+y0GphyydHPU8oFXfnwLQ4W8tVwFCSxLtJZA7HUrsOwE+IjJ912vWSVGgZR6FvR+XrcMSZm+j6iDCNIuDquAKQPU36wF1AdsNSmDXqOCETQ2nE/9je/QthE0coPy8PAwjh071ueRm5ubc2E/VmFmbPje3p4Djcy2xrTGmjGKdWrbfcqfbT+f0/azvzqXvd7BKca0YCcSCQf4COKULlQZYFgHz1Sp1+sutE7bF1SOQjs+q5daxnVcbP//usXHmJVuFehrX5iljPTIzf8ERdzMTws2AUulUnFpcrV+bsTnvOi1GzduYHp6Gk8++SReeumlvs3zyqvUg8m+XL582Z3rMTMzg0uXLuH48eM4c+YMIpGIS3Pb6XRQqVSwvr6O27dvo1wuO0WE516pNZXChjRPRYOhdtwPFI/HXWprto3rg+encOM39wBxLTBE7s/+7M9w69YtnD59GoVCAc1m02VU5FlIKtSoSHLd8To3c1NhLZVKuH37tlO2wuH9TeWpVApjY2MYHR3FnTt3cPLkSSSTSSwvL/elrgb6jR1AP4hRMK70648jE0sAAQAASURBVLNWD6JP0iL/K83qvLPvvjqDgJcFbPa+wwwavnVqn7W8zLaR31UpIY/c3NzE9vY25ufnUSwWsb29jVQq5UIhybuAfu8N20RFYH19HW+++SaeffbZvvBRrndd53y20+kgFos5BUv34jBz3/b2tjvAmEYGrpnt7W3nUdzc3ESxWEQotH+mEA84zWQy+MEf/EGX+KRYLGJ9fR3r6+t9qdd7vf1skcePH8f4+LhrN0Pv3n77bRcW2mg03Ht5vlUqlcLHPvYxzM/Po91uY3NzE9FoFFNTU269xONxt44nJiaQy+VQqVTceFnwrPjABx45h1QMLI5SrKHzZ+vUJFRcN7qHl3VZAO6jN64VXS8aOqntUVnkU8ys4mQVF7vebVtUmdK9gGpQteNl++jDipb/+NavfU4NwSxBa9vXLjv3tk3WwGLnTcdb77ftUpqzY8w6lO9Y7KHGeDUUW/l+1PKBV36UoNSC5yMaSyAsdkJUiwfujy/Ud2q4F9+tefb5DNDvJThMOfFp+oPinFUA+ISZxu36gLi2KUiBs/UGWQWAfmXICsigZ6yA1/HTOdaF7RtjWuF3d3dd2BKt5NxYu7GxgVDoIPSJQI7WQGA/fKzZbLoNqmq58llAVJnSflumbAGfZtzRvpC+mLyAqbkJIGhhVE+QnWOmQo1Go4jFYmg2m+5QPIbRHcY0rJJpy4NaXHz1BHmBLLO271Wha+lK58knAKmk0LtAD1ur1UKns3/GzdLSEt544w08//zzePjhh/Hmm2/2gQoq2QAcqAfglIGRkRHcuXMHFy9exJUrV1AqlZzXQ9eb5VlUsDY3N1GpVLC5uYnh4WG88sorzsLMkMydnR2srKxgcXHRbQgnyFdrOoA+OrHj0uvth/K1Wi1UKhVMTk6iUCi4AyzVQsf+a9IN0j4BGYXT1atXsbS0hAsXLuChhx5yh8NyfwSzanEMuHbJR9VyDeyf1fLuu++i3W5je3sbGxsbOHXqFF577TW89dZbePHFF3H9+nXnFeM8b2xsOANAIpFAt9vtSwXPd1vebOnPB2qOsgYUnAfVZ+WGD3hZ8OB71ld3UHuOcp+VVT5gpnye9Fav13HlyhUsLi5iamoK58+fx+bmJlZXV11WSioDKru4rhketrS0hIWFBVy8eBFbW1uOb/M9NH6RHkOh/UyIPAB3ZWXFzT1Dgcvlstt/Mzk5ie3tbTQaDWc8UH6SSCSQyWSQy+WQzWZdKu9CoYBXX30VX/7ylx0Qy+fz7j4emDw3N4d0Ot23R2x3dxfXrl1z3i16eLiecrkcTpw4gTNnzuBDH/oQKpWKO0B5ZmYG8XjcZTTlPmNmqUun06hUKvd5fCwgVVpSWcBnfDJJ//uAp6UXa5wF7ve2aBt97bNt4x/lo4aca+E9QXLLp0hoH8g7rHKjfeWcqbz3KR+cC59cYgm6btvL76R7NTrY/nAMVCb6FDn7rkFKDunFvk/76vOo6f0+fO1zONixsJjq/RpSv2uUH51U9frwHi12sK3C5Ft8+t9aaIH7QZVPMNi22M9BQlQZDMNs9DldULoIgzTsIHelFby2zYcRsWWQvv7bOtQKatvjK8pA7fVer4doNOqy7DCjTjqddgyJQiWXy/VZrxmLTAWo1+u5M4C494AWKy1q8VTLllqULW1of8lUgfvPVVFwr4dZVqtVtycpn8+79NYMYeL40CK/t7fnBDeBNz1ZesCnb/+CnVOfkmKZHu97kOKjLdat4MinOHPMKYg4pmphtAKTwIkhKOVyGfF43GXKq1arzmuysLCA8+fP4+zZsy78bGhoyHk6CJibzaZbo/RGxONxLC8v45FHHsFzzz2HP/iDP3CbpG3WMHrzqDwAcPPDELS9vT0sLS25+7k5W+lIPTHsZ6/Xc6E2Oh7WyMOxqVQqqFQqyOVymJqaQj6fdwoP1wLpUsNlOS7tdtu9LxQKYXt7G1euXAEAPPbYY+j1ei5zHjNgqdXTAhsAzghAD9vly5dx+/ZtxONxfM/3fA9+7/d+D/F4HOfOncOf/Mmf4PTp02g0GhgeHsbo6CgikYhLFrG3t4dsNgvgIIMYx0P5pn63dBektKh3iN+Vxq03yUfzlg/Ydejj0777DyuD6uV/H0i0z/jAMWmr0+mg0Wjg8uXLSCQS6PV6fWnmLYhSL/bw8LDj1e+++y4mJycxNzfn1gL/c92FQiFXd7PZxO/8zu9gd3cXyWQStVoNADA5OenmliHQ3W7XrZNoNOpCSdUgxvTsw8PDbu19/etfxx//8R8DALLZLCYmJjA1NeUUEmZw05Bk1rmwsOCSofDcoEqlglAohPPnz+PUqVMuiQr3EM7PzwOAO7x4ZGTEGcEAoFKpuL2g6iWj7LMGVPViK1jlulPasgoKfx+ED1is4VMNfir/+H5VWPgOn3LiW5sWS6iS7KNbxYy2TqVta+i2fea7fIZMtpnPqAJk2+5TOrQtutYsFrVr38cbgvYpWr6k82vHTOW7T/FRrOnDy3bs7LM+LGnfY9v2oOUDr/yoRUGJw3o4FFiqG0+LEo9VRnwKAp/xfQ5SpAaBd6uwWEK2wI+/UyHygXMlEIITrcsKbf73MRxfsYvbKp4+wRhUBhGyLjrfQmLfaQHjgXr1et0JXFq9R0ZGEIvF+gCX0hGFoG5ot+flaDtUSPjGSi1f7IsyYwpFX+ggx5TzxLlmcgR6cajQJRIJdDr76VFZN8F4pVJBMpnE3Nwc6vU6SqWSS4d6mHIRVMisrEHhKFaZQfWyBAmao9Rn6Yk0xEQWGnLZbDZRr9cxMTHhAEEoFHJhanfu3MH8/DxOnz7t9v0oDRDEM0MbrZCky1u3buGZZ57Bq6++ipWVFWf15p/SiOU/2m4qrFSEaQVnyCYL9xqoQFZAQyCj61Pv4XgWi0UXejM9Pe2UbYa/KdDgewkgNXscwy7ffPNNjIyM4JlnnkEul3OZ3Bi+R37DvvI66YzZ7+r1Ou7du4dIJIJPf/rTaDQauHXrFv7bf/tv+M53voN0Oo2PfOQj+L//9/+6PUxMazw9PY0rV65gZWXFrRkCPuDAS66WZB/PsQoIx1XXhI9/KjgIqvMo14MUIN8zvmLbwbqtzPN5Cex7fO9i/8PhgzPJdnd3EQ7vJxfQ9Un6VTpXUDozM4MrV67grbfecglIALhQNb6fYWnFYtHRLr0wuVwOnU4H6XS6LwtooVBwIXb0iLP99ELSI5rJZNw9r7zyCn7/93/fGQhmZ2fR7XZRr9cxPz+PmZkZdygwQzg5Dm+//TZefvllRCIRPPzwwxgdHXVGu7GxMczOzmJ3dxe1Ws3xGSqBPI+O675SqbiDfpvNJjY3N7G5uenOxlJvixrmlPfY5Cj2M+fZenWUX5EvWcXfKv+9Xs8ZjLRo2Kn1LFpexftZnyplqsDpnmX9fZBS5zOYBWE/n0Lmw276jO+6GlBt0fVtjQ/2/DJ9D9B/vhnHNCjKwme41Lm27fcpeEB/8gvbdqUhu9XB8iOLiS0OUIfH+ykfeOUH6AfGvhAY63K1CyBocpXZq1asBGGZhbrdLVEoE/ARjtbpW3i2bUr0bIcVqkogFtjYMdL9IpZhAbjvYLIgolNlQAWT7xkFXtpWK2h1TO2CYHs5/gBcmBhjugE4SzSFLze4Ku0MDQ25lND0oujcW8asYzxoTNSioQyAwl4XNC2ZOg8KLmlxBw6s/Kurq1hZWUE2m8Xk5CQSiQRCoRAajQYymYw7bZ1phguFAoaGhlAul907328J8gj6rit9WuAVxPiDhIXOm9KbBWv8TCBGWtdkBQwpZJrwZDKJer3u5vbOnTs4e/Yszp07h5deesmdEcKN9ARJVDQJ4Al4mCHu2WefxRe+8AWnlNr++7KKKTBXxbnb7fbRNOeRYBM4OOTWhkTweeUt6gGlglOr1dBoNLC5uYlGo4FcLudS66ZSKZedUOmafIbW8Xa77VLP7+zs4Bvf+AaazSaefPJJDA8POw8MFTZ6jTh2AJxXk0p/LBbDuXPnMDMzg06ng29961v4hV/4BSwtLeGVV17BP/7H/xjvvfce7t27h3w+j+XlZQBwh1U+/vjjuHPnDlZWVlw7CQSVJ2mGMR0/5UE+eeEDJL65tvwiCBxZEDKo7qA1E9QOnyfKx+etXLL3WJnG+eZ7yLPsHkk+r3JDlV+GcB47dgyVSgW3bt3CqVOn3J6dVqvlPKMMWaVH5IknngCwH37XbDaRy+WckjE0NOTC0hiu2u12XeZC8ggmOBkdHUU6nUYoFMJf/MVf4NVXX8Xc3BwymQzm5uawvr6OSCSC06dP4/jx4y4rG/eWjYyMoNVq4a233sJrr72GUGg/s9uVK1cwPDyMixcv4pFHHsHe3h42NzeRSCRcuxjiyrXCc5NWVlawvr6O1dVVbG5uIhaLudDamZmZvjBUTcjiM5SyqMzj3JBXWM+R0obiK51fa7xRbx3vsaDXKsCHRRIoPrAKj1WkLN3xvzUmqLLA/z7Dg00K5QPs/OzDNtomewaZr21an+7ftJ6lIGXC3muxHq/pdbv3K4hP6bvUGKfeLjV4aF98XnYf3lMZbxXOB1GEHkj5+ZVf+RV84QtfwJUrVxCPx/HhD38Y//E//kecO3fO3bO1tYV/8S/+BX7nd34H29vb+OEf/mH89//+3zE5OenuuXv3Ln76p38af/7nf45UKoXPfOYz+JVf+ZW+wTpq0cHUCbcLNUhL9Q2WTSpggZwuTBUIPmGogtTWrekndbGxL/zNpwTpPQrgtVii5WLRZ62blm22jNEnIIMWuW2Dfc7ez7lSBUifGaQ8aR2hUMiFsPR6PXeSdzab7VMehoeHkclk3KZqAH3Aj/Oi8df6/iAmZpmvjqeOsTInTf3J59SqrvssWJ/GN7NtbHOz2cStW7fcHp9MJoN4PN7nEWu3204BDIf3D4JttVoA/FZv7b9VmO01fre0eJjw8tGHZdJ6zcfYFVTp3PiEMcENQ9uYIrper2NmZgbZbBa1Ws09y8NB5+fnXYjK+Pi42zzNzfc80JFZmnStLi8v4+GHH0ahUHBhdWwT+8T1aYUP1zL5USi075Xivi31HBFYsI9czxbIW8VdhV+z2XT7KvTE+PX1dRSLRUxMTOD48eMujS83aNO6TLDV7XadlXp7exuxWAytVguvvvoqisUinnzySUxOTvZ5r8LhsNuXwbHo9XpIJpPodrvOcp/L5dBqtfDmm28im81ibW0NN2/eRCKRwHvvvYc33njDKf0s7XYbw8PDiMViePbZZ/HWW2/hO9/5jvOc6iZaHwhUWh0ESg5TPgatB997fF5NNfocta6gNqrCZJVj+6f3aF32v+4vo2GAfE7pWXkfcBCZoSFZjUbDKda3b992h1czVJkGHSos9BR97Wtfc9k/NUnM7u4uTpw4gcnJSUSjUZd2m2GcpIN2u92XVXB5eRlf+tKXcOPGDSSTSUxMTCAcDmNxcRFjY2N48sknnRenWq26/Wz0evV6PRw/fhzPPfccIpGIOwsoHo9jbGzMefNpgNHDr9vtNu7du4dbt27h+vXrWFlZQa1Wc0aDer3uFMa5uTm3psgraJQJmkfKGaULxSs+cK+06JMXPiVC5Svv960jfrY8i//VEGmfo+HJZzDwGWSD8A5/9xk8tA7FR3ZtqUfbFoshFczbxBDabmvk03HW+pSX6fz6Qu1tf1ivVUR9fbDjqeNkDXrWaO973le3bZ/lfQ+i+AAPqPx8/etfx2c/+1k888wz2Nvbw7/6V/8Kn/jEJ/Dee++5XPO/8Au/gC9/+cv43d/9XWSzWfzsz/4sfuzHfgx/+Zd/CWCfED71qU9hamoK3/rWt7CysoKf/MmfRCQSwX/4D//hgRrPooDQxqlSQFjtfxBot8qEnUxLdHby7MF/SkjWg+QjaJ8ixb6ocufzRimAYdGFaoG6liA3Ivvsc4vqWCizsuPr64/vXdo2n6JlF5BtD8d4aGgIOzs77oBFgn8CXQKgXq/nBCgzUDHGW+eH4E+BAd+lbeOf7oPwMVrWw43dZDC8V71sFG7sq4IFhpGwTfydYD6RSLgECclk0lnruXGWmc6Y2phx9HaudGx9gsKnAOnvVmD67vHV56MvS+vKBHlN+2CZLAE2lR9ap8PhMNbW1lwoFGkgEomgVqvh+vXrOHPmDE6ePIlisYjx8XEkEgm8/fbbWFpaQiwWc8kQOJ4qiJeXlzE6Oorz58/j5ZdfdqEfuuat0sP/VJQJKukVUSFpeQrpTPc4qWC0c8h7gX0loVqtunWh4Gl7exuLi4uo1+uYmprC2NiYy0JIHsy9P9vb2+7wSCqK8Xgcu7u77hyXkydP3kf3pEMV3DxIkvNLsBcOh9FsNvGVr3wF586dw9WrV3Hjxg2XLSuRSDiPwN7eHmKxGBqNhss2R4WMCSo0S5fP2qufLbA6rPiUqaMUC7p8YOQwxSSovgdpi65D2ybbfwVWVKCpEFMRIl+lIYqeTHpGeQ+98dFoFMPDw3jiiSf6jHtUnLmmKpUK/s//+T+o1+uYm5vD3t4e5ufn3aHR09PTmJmZcR6/WCzm1hIVCPJWel+uXLniFOVPfOITGB8fd2fJDQ0NuZA4Gj10fdKbGolEMDc3h3B4/yDlbDbrjjCo1WrOw8VMdY1GA9euXcONGzfw5ptv4vbt224N6NlV0WjUeaDpHaXMo+JpjcvkKzYiBDjIrKVzqNkXlY8o4PYZV/R9lj4sDVqsxf8WR6is872Pv5E3auisbbt9h9K0LaQP5dOaIt2uR5+y4MNPHDte8ylZVrlk3zl/VCbVqMBrWo/KYzt2D8rPdF4stlRZrHu8fHiBz1kasG3h/0HJFo5aHkj54cY+lt/6rd/CxMQEXnvtNXzf930fqtUqPve5z+Hzn/88fuAHfgAA8Ju/+Zs4f/48vv3tb+O5557Dn/zJn+C9997Dn/3Zn2FychKPP/44fvmXfxn/8l/+S/ybf/Nv3IJ90KKTYMGxBaC2WK8GJ8sCXd4TJPh871AlhYtQz4whkaqF1gdirBeC71KFSIXBYX3lZ2X4SkRah1W2bLGWB22/VQCCFAGfkmTHmaDIWkP0HQqitre3nRKgp4QzRIL3cQ9IIpFANBp1h9gRDAUphdouekos7ek8aR3WqkxrJMEyPUJap9bN9tOaqXNLeuDm/VKphPX1dRffrmcgdTodpFIpRKNRVCqVvs2/lsH4GJaPFuw827Voi2XqlnZ8CqSuD18dQW3hWmNcP3BwWBozh6VSKXfoKQ8VZNa2J554Ag899BBu3bqFer2O48ePu/EeGRnB2toazp4968LiFEAzDe758+fxyiuv3CeMOVY67hrrzrWqQp9Ck0BRkwzY8QX6lWrfnKowJlji5upYLObWBA0LV69exd27d1EoFHDq1CnkcjkAcJvDGcbB8Wk0Gi5hQiqVwtLSEi5fvuzq5r2cJy2aTtt6/2ip//a3v+0O3CQg7vUOUnRHIhHU63VnHAGA+fl57OzsYHNzE1tbW8jn826fBmWBj3/xu9KjjqGvHAaGbFEeaAGbBYoWzKjiY9fPoDYpbVklS4GV7bdPaR8aGnIKB8cTgMv0xzrppaDyyflluNjOzg7y+TwajQY2Njb65p4hp5R9oVAIX/7yl3H79m3Mzs6i1Wo5b2u73UYymcT09LQ7A033c/K99PbosQDHjh3D2bNnkUql3IHFNESEw2G3R5RjolkKeYAwMx3SKBCPxzE8PIxkMolCoYC9vT3cvn0b169fx5UrV3D9+nXndWY9qkhyPfZ6PafA0wN7+vRpxGIxFItFdDod7OzsuDBpKjK61ihfrILBomGL+ixwYKBTw7HSDGnJhttZOrXv1bqsbNX7WK8auVV50wQKnGcfvfrwB79zzH1RFyqLVEEkDeu6UqO68i++QxU1H2/QdWlxjF7XJBMWd1hli+9WTMZ++QwtHHNtk5XJ+m4aJXwKkE8JDVLErCwfhEsPK3+tPT9Mo1soFAAAr732GnZ3d/HCCy+4ex5++GEcO3YML7/8Mp577jm8/PLLePTRR/vC4H74h38YP/3TP413333Xxehq2d7edpZvAC5rC3DAyEno1n2u4FEnhkWtHhT4nHCdXCVoK2R4Py3outh6vV5fXL66AC04s++wCgEtGfyshe8iwfsyk2jd+j62wYbI8TrbR9ARVFQ4cx4YBhN0f5A79LBx0N90fjne/K3ZbDoBqlZGZuYiQKJVjvNGy1mQNUfbzjYRnKoFJmgstT72TemANMO6rWVJGRzfpQKG4wAc7HPY2trC4uIiRkZGkM1mkc1mnfeLaVuHhoZcSthQKNRnqVUBqfRjBYlPYdH++hSgo1rI+FnXggq7nZ2d+yz3bLPyCO0PPW/c+7O4uIhkMukUZlqAGWd/7NgxZLNZl01Q66Yyyqxw2pZ6vY5bt27h6aefxrlz53Dp0iW3b0gBmApF1q1gU7Nb6ZjofCjo5XhZS6u1tCmPtEKFY0srJ8Nxer19K/nq6iqWlpYwNjaGubk5TE5OOus1Q4e63a4L4Wk2mwCAXC6HZDLpFBPdl8A+sl8EX7phW2mFe7hCoZDbUM91GgqF+p7XNbmzs4NIJIKJiQmUSiUUi0Wk02nnFeV65HtpSSfQtHRuFTOfwUfH1Rp5tFiDEq9pfb4SdF1/9ylUCiZpgNE+KLjSTfKkP/WOW77H0DHSLWnBym2lc46PKhL5fL4vfE2zGXKf2tzcHH7iJ34C6XQa8Xjc7fOJxWIuOyaAPq8vlRlg/3BRtoHAMp1OOyNJq9XqS/+uNMqxA+BkCt9FGcqkKM1mE+vr61hcXHSHE6+traFarboz2ciLWC/5HhMfDA8PY3d31xn1ON48n2xsbMwpO4x84JEH9HAxbbz1bGjWScpVVUS4JsLhsDtriONpFSqfEdHyLGvcUXmmz6hipcoF+aQqQhY42/+6rtWQyrYqbVpZ51NUVEYD/biJfVGa13XD9qoHnP20WIdjrFiVskLXjs9I4hsjy/P1PbxP30eDG/uoY2qjEWxbrGKsa1/bGVT4DMO+9fphvI/lfSs/3W4X//yf/3N85CMfwcWLFwEAq6urLvOUlsnJSayurrp7VPHh7/zNV37lV34F//bf/lvvb5wYMje7IC1As8Rg7wkauCAgBvR7PnRiLVhl8QlL1XjVMqAMg4vGpwVrsRYb2077XlsfF6NttxKw9sXGkQLwCkHe71uMVtPXNivI16IC2/ZNGU+j0cDQ0JDbh6EWSHpIcrkcRkdH0e3u71GYmprCzs4OGo3Gfe7+IEZC5kUhpTTG/xbE23bzHUq/yliVwSpItPOlTMeGEO3t7WFtbQ1ra2tIpVIYHR11Z1IwrGRtba0PNCtzDVKC9P1Byo/eZ+nUKoI+hUiLz8LEcdN1qEKF7ecfx1EF3Pb2NhYWFvDss89idHQUly9fdhv37969i+eeew6FQsElmSDfoUAjUNrd3UWlUnFjsru7i+XlZTSbTTz88MO4evWq+40ejaB1YBUVCkb2jTyP19lXNeRQILI+VaotKFc6sgKOoTVsdywWQzabxfb2NkqlEhYXF5FKpTA3N4fZ2Vlks1kXktNut53CSeU8Ho+7fWcExJwXXrMGiEE0oXPJa0EJPcgDmRJ7fHzcJXkAgGQyie3tbQc+mWyh2+2iWq26kChfvUD/XjVeV5r3rX/lw1Y58SlPlu/pnFk5YBUyK3v0Pw8i1feqkY2GQg2rJNhXL4yuPTVAWkCrvKPX67nwyK2tLSSTSTSbTSwvL+OTn/ykU8apiAIHRopkMomPfexjfXyB57UxpHl3dxc7OzsO6JOeC4WCU9oJ6OmloXeDhik1PqTTaQwNDbmMcAR/esBqtVpFtVpFvV7H6uoqbt26hdu3b2NjYwONRgNbW1vOq5TNZu/DE5w3gk4Cdt3jp0ZX4CALJX+j0aJQKLj7GCHB8+KYcIRHPPB39lfxgg/0K5DXOfYlMSBtqEFHaVDBN+e71zvwStAIZrFMkJKla8RiCu2Hyj6V4/x8mHFZ583uRVXvl75DMYnyZ76HuEzXtrbH8hmLq3xKjhoQfRjK4letXxUyFmucD1rvlg8FyTxbdC70zxrDjlLet/Lz2c9+FpcuXcJLL730fqs4cvmlX/ol/OIv/qL7XqvVXL77cDjsBDCZGgdIQTyLBVQEKyQuO5l2kvS/T+HRZ95PUWLhd59gOGyife2xfVei0f7YMDi+W8NQLGNRJqXttG0axCy0Lv0O9HtR7DMsZPJ8B5mqhskQeNHKNT8/j2PHjmF2dtaFvxSLRUxNTfVZw+wc2PYH0QHB6CDFWosyA50HqygoXTI0h1Y/Laq4EaBwrHq9HtrtNhYWFhCJRDA5OYnZ2VlMTU0hlUrhzp072Nra6ht/ggIF6772HwZQtQ8qKIOYmGW+PgNEkNLP51T50Wc0zIYhNnfu3MFjjz3mQqi4YXpxcdHRzcbGhvM0KbgjMIzH4yiVSk74dbtdrK2t4caNG7h48SIymQzK5bLbz2AtYD6LmLUQKt1ZIKvrUpUgjofWo/dYYcl6qVSQDggg2S6mku529zNm3b17F4uLiy5D3Pz8PNLpNNLptEvJ22g0sLe358IwqXQA+7RLxceOj51nn+JmFWKlBb2XbSeY5Nkq5XIZvV7PbUTvdDqIx+MOeDM01qbB57t17O37tB+6Zmw/FdiqtZfP+kCdvlMzR9KIpEoM61ZQxjrp+SZdc2+LRkfYou+3a1T35Fol1fa70+m4xCxMlrG2toann34aJ06ccIcS93o9d2gtw5bD4bDLQMgQs6GhIae0MuxR30sLcqlUws7ODnK5HHZ2dlCr1ZznPJlMuvEC9o0kHIsbN27gzp072NnZwcmTJ1EoFFAoFLC7u+sScdy9exdra2tYXV11XiC2gQoJjQKWN+q4qgFUDSDhcNiF4XU6HZTLZccjOI46v+xLKpVyfVM6oZxkkhyeIcTfOJe8X6NeFJSyUJaQdrUvVNrIP4njlE/Rc6j8SXmTxS92Tal81jWp64Hjov/1PaRrpVd646yiwTVCmlScoDzaGkQ1rE69K2yDPmeVSKUVGuQUM1r5aQ1F1vgepEz66E+fseHVvmKf0aLr08otH987Ki7W8r6Un5/92Z/FH/7hH+Ib3/gG5ubm3HVay3k4Hsva2hqmpqbcPa+88kpffWtra+43XyHz8RUSCjfmqnuXRUGBHSQVLIA/c5XWocVaQHi/tYwDB+5IvpP/VSFQgrQCUSfcEjrrCgovC7Kg28Wj3gMLgnSslZkooyFjssRu+6JjYItPaPZ6vT53v7bPMg79rAKB6UvJiGjFBeA2vW5tbbkDRDVkUtNy2rbb/pL2NJONtezY/qpC6BsXBXNkaD6lQ0G9BcDsi6bv5jMUisvLy1hdXXXnTDzyyCPY2NjA8vKyC//QWHcbiqd90vnw0cNRLTU6Lj5lgO/xrSkrqFSIsR3WezI0NOQSP7z77rt9VtxEIoFyuYy1tTWcOHECr776KhqNBiqVigudisViqNfrqNfrTjnQGPlOp4ObN2/iqaeecokTGFKiAtOuPRauQQ2x4xrUzD68l94eTeWsf3yntcpbA4SCEALheDzu9hK0Wi3nceI4MJ381tYWrl+/juvXr2NmZgazs7PI5/MudTHPKEmn087bOjY25hRsO//aNv5Xw4xPAfYBE17X7Ir0NoVC+2FDm5ubaDabmJ6edqmLGepGb4CuL/tOnTO+0wp2BSZ2vnVTuwVPAFwbyKcsoKLXQcdF38O5p8eGhg2OpyrX9rN6PixPJL1re7Wfyg/Vus3n6bGgAlav15HJZPDUU0+5cFNm8tzd3cXly5dRLpedMsrEAyMjIzh27BhGR0f7+Dj5KAAsLS3hrbfecunQmU56aGgIx44dw4kTJ1wCE4bL7uzsIJ1Oo9vt4tq1ay7DZj6fx8bGBm7duoW1tTWsrKxgc3PThYvSUMs9QKQjnmdFkM92Utnkf3qZdTwVwCYSCecNev31191eunw+7xLfsA981tKmypFsNuvmivVub2+j2Wy6cFbyOM1gyTapUkBlVeWCjVjgvRplQg8xFX/Sn4aQ+faf8DOfVR7ikz1qLFGZbZU50pF6cHTNWbypvNViGI1qUXzI/pH30puqvJ28R3Gj5UVqsGK/LdbU37UNep+VvaxHlSy2S+Wub6xVltg5sQqWHWcfb1d+GIQrfeWBlJ9er4ef+7mfw//+3/8bf/EXf4GTJ0/2/f7UU08hEongq1/9Kl588UUAcBtin3/+eQDA888/j3//7/891tfXMTExAQD40z/9U2QyGVy4cOFBmgMALk6fi1AFtE6cnRAWMmll0Ba82QG3wsMWFRIcN6u4+IQFr6lAtUUJ/LCJHmQdHXTdCmHWw30gvnYRfGkd+ltQ8SkFPrCs+3j0d50rnWcuSM4tLcq8h8BqfX0dt27dcskB1K3OeGxtn22bKoAcA8ZSU7Fg/LjPTexTEHy0pb8rs/Qp50pP9h4KD4aLcGyZ/W5rawvLy8tYX1/H1NQUcrkcZmdnsbGxgWq16gR4kKKrffqbLD7gaNeFpWEqOAR3PJOHdKtWxaGhIdy+fRujo6NIJpNuv0Cn08Hi4iKeeOIJxGIxx3+Ghg7Oxhka2j8/SXkSM0Axs9jOzg4uXryIN99807XVzl/Q/PN+tXpyTjmXnFvOBZUgqzhYPmUNOrrmFPgqIOP4kj/wPgpEhhgCwMrKChYXF5HNZjE/P49CoYDZ2Vl34C4PciyXy8jn8+55VWJ9fC2Ih1nwE0Qvuk4SiYQbj/n5eReS1+v170EiPRBIKl0q/fkUdQUf6lWlEqMWdt/at3TNuSBt230KquQqiFKZSMBFA4mvKAjk/hhVXqxsULmrFmr7bqU98lHy4EqlglQqhaeeesqFXDI87N69e/jmN7+JpaUlFAoFjI6Ouv6dO3cO09PTCIfDrk/03DE9/bVr17CysoKhoSEcP34c+XzeGXlOnTrl9vkkk0nniep2u0gmk7h37x6uX7/u+Mft27fdeTuct5GREZe2Wmmh19sPN7OGF/1O2cK61IOsRhClO2Y1ZCbDer2O7e1tt6UgEon0JfWJx+NIJBJOIWNmR5VVpBt6PtPpNCYmJlz7uOWAso9JTRgiyD6TrpUv6brRNa68hfuodI8V6ZDXyW80HM7yLO2P0hvvV9ygNGmxDdurvNTyY+WDTMaha8PHm3Te+WxQKLTPAKRjY72s1hNnebu2SxVRVQitMsP26r2KLyxfsJhVeXYQXtTxtXzeyiq+46j444GUn89+9rP4/Oc/jz/4gz9AOp12C4r7BbLZLP7JP/kn+MVf/EUUCgVkMhn83M/9HJ5//nk899xzAIBPfOITuHDhAv7RP/pH+E//6T9hdXUV//pf/2t89rOfDfTuDOzA8EH6Vy4462VR74QKPNXaleCsJUqLClCgX4ulYFKrv9ZvLbPKAEg09l2+96tFkUUJQ5WAICE2qNj3KqNVAlZFkf33gQA7ZvoOXbj2Htaj99nfrcVCr+nCZSrRcDjswA1BI63XodD+ZtrV1VWsra3h7t27jp5sX4Jcw5wHhi6Ew2F3ZoqeJaQgTi3rtv1atI92kR/mfWG7wuGwa4sFqbTo897FxUUUi0WnKLLNDM2gUmcFjW9+7LWgtWWLb1xIi0HKtqUzy6ypGCgIpreCTFv3hVG5YaKIpaUlPP/88zhz5gyWl5edACBwiEQiaDabaDabrj6CNnpgNjc3MTU1hXQ6jVqt5jb9DxoLOx7qidU57Hb390AStLA+3QSrnk3lTzq+lgeqcCENcPzoPSEYomdAAR2TagD72b4uX76MRCKBubk55HI5NJtN7O3tYW5uDqurq6hUKpiYmHDGIAsgWDh/dr4tvfjoE+j3CgHoM7SEQiGk02m88cYbCIfDeOSRR/oyalFp8bWLhXSkFmsNGeK8KHgjnariogDGGseUD2vfbbgw368ZR32KoqUdBUnkV5TXpEl7nwWqVukh3+D8qmwcHh5Go9HAzs6OS5rE8DcqyH/1V3+FS5cuodfr4cknn0Q2m0U4HEahUMDk5KTL9ElQz7ldXFzEO++84w49ffrppx34z2QySKfT7jBU0svS0hLa7TZqtRpWV1dx8+ZNlEoldLtdd8gq257NZvvC6RV0h8MHGRlViVHlm+1UwE7rN+skSFa+ThrSNN12HXe7XXeWkH2OSl8mk3EKkVWOOK8MB2e7SOPJZNLtf+K7uM+WxiAmsFKvkI4R+0SZzHGj4cHyRrvfReWFlRWcI10vvN8CefIsTfRA2a+KDutRvqlFjSM+HsQ+q6LCdqmni9fIH9RjrcoS+6CeI11bLKrcsQ+2MOJG6UfXudapSqfKXKs4+ZQbflY6YJ2+kEYfDgySmUHlgZSfX//1XwcAfPzjH++7/pu/+Zv4qZ/6KQDAf/2v/xXhcBgvvvhi3yGnLENDQ/jDP/xD/PRP/zSef/55JJNJfOYzn8G/+3f/7oEarvWpG9en1Gg86SCBwWIHMQiM2on0WeItaLaTpwvJp7X66tfF4lv0vnIUbdgKL1ufWiX03SqQB41PELjV/9oOvUctmVaYa7FeGC7QoaEhd+4HcODu5fkItA7u7e3hzTffxBtvvIFSqYR4PO6s99ouS0faXs6NhgqQWVHx0DCTQXSo15QpWMYVNKZ8B8E3BQqVsHA47MIsyGyBfQWe3jBaeJkVKBKJ9IF1pV+lTdsmSws+YRW0fuzc277ataD328+ce4IQhqLQWgrsx/Mnk0nEYjE0m003T7lcDvV6He12GxcuXHCHHQL7yk8qlXIbhjnWCn4JIFZXV3H69GnMzMxgY2Pjvk39tn8slmbUMEE6pxVWMwXZMfAJ60HCRcfLKuF8ryo7vF89Tpo6mkCTqX2ZgWtvbw+JRALz8/O4d+8eSqXSfccf+HiGBY/Ka7XfQXxQFU8dt52dHYTD+5voo9GoO2Ol2+2iUqncp4j4wIQqnLpWfErMoOLjzTRK2PEIKuqJUWMW2+NbRxbIsGgcvt7LP2sMszxe26S/93o9VKtVpNNpnDlzBuPj44hGo6jX60gmk/jOd76Dt956C6VSyYW0tdttjI6O4tSpU85jpO3Y3NzE2toa7t27h2KxiHg8jvHxcczOzqJQKCCbzTovT7vdxvXr11Eul/Hkk0+iXC7j85//PEqlEjY3NzE0NOQUnG53Pxw2l8s5UGrlvCo66imkbLI8jmuX/JjKCcdT6cvyWvJQevJJHwTJyieUh/Cd9XodlUrFAX49/44ZENPptMtSube350LgKpWKk1E8OiKRSCCTybjEDzwMmYZqeo3YBgJ4htIyxFR5DO9R3qfZ0TRMiuOve1AsPdoxVBqmAqTKhXqofDjA4hIa29g+n4y0slD5sxqobBtV4VB+B9zP923Inb3Hrk8alKwRnf3nZ32ea1k95Pqc1q/9siF8fKcv7NB6gAZh1kHlgcPeDiuxWAy/9mu/hl/7tV8LvOf48eP4oz/6owd5dWBhqAdwEK/KQeM1FfDK4LWooAraO8NnOCGqwFhlhvf7mBMZkk8w+IS0gmO15PjaQYbrs0BYgrF997XD9pvfdQxtTLs+Y/9bpmGtB6xPCVwFRJAAZdvItAnCrDWbe38ymQxCof19PqVSCalUCsC+lf/KlStoNBpO8eHYWUXWAm/bRjIJelPI+MmMGaaiJ58PsnD7xtZHJxwPbQ8Fkgo6AlMFfmr9ojBnIUPb2dlx8d1qJbbjYedrkLJmr/uMFUHKgY/x67utosh+6TkjuqZYF70XtP5VKhW3B2FrawsPP/wwvva1r+Hhhx9GrVZzGc3q9XqfgOD4Dg8POyWnXq8jFothdnYWb7/9dh+dDuKz1tCgIEvXvhXEdgyUhlWIcgws7woCEGyDPsN2sg1qneaeMY4Rz1IhGOKBpL3efsgQj1PwGZ70v44Px8byEKVXpVnKCA0JYz81o9nQ0JDLgEXljR42tsXOn/1uZU+QMubjw/Y7QcagEuQR1t9IB4f1w/ff126fQqeh3PouC/4JfMfGxnDy5Em3b6zVarkzmpLJJJ599lmXir5SqaBQKGBubs55ZzKZjFNc9/b2XGbGsbExXLhwAaHQfjr0oaEhVKtVLC0toVqt4u7duy4Rx9bWFn73d3/X8cpsNovp6WlHr6RfAM5AZMGZrjf2Xc/DsfdSjlFBogFNLeA2nMkCcM1o12q1kEwmHd/h87rnD7h/4zv5HO+v1+tYWVlBKLRvLEokEkin0y5ZwvDwMPL5vKNJGpM4z5pxLpPJuHupUHAfEb1t5BE8dkH5le5fpEFPvcPqFbNKqG8tWH7BenjN8segzJFB+MoajVSpUZnkM2pbJc6HNazc53xyjGx7fN8VQ/KdmiyFmErHQQ1aVrnTMxJ1bC1ms+Opc6HeccoftlUzOlssfVQF6K91zs//F4pq5jwnArg/JtISgU627qGwioNOGq9x8ek9mvlKhaxPU+UzvV7PWUd9lgS2UzVvFSJKqPQqkFFaBunTlNlX1qt9tO1QIiRzIIHacWT/fMVnRfAtxKBsIT7LCnDg+lbvlFo2OQbb29uoVqvodrvI5XLodvczcG1vb+Py5cu4ffu2O3mei50WM75XmZCOtY6bpT2OrY3lZrgEmTbPDxkZGRmowHIMfYBUx8gqjrqZmULd0oZ6i6xVOxwOu42rFFQqNMiUBoEjLbbtPg8fSxCo4m+qcOiz/K9Kjk8555plv2OxmNvkzrFfWVnBxMQE4vE4nn76aczPz2N1dRUXL150G+R1gy6tsPT+0WJar9exvr6OkydPOqCmoWvaB22z/c1a7vR+ri3lX8oLrMBQhcCGTPCajq8VzLxX6c/OBxVu3VejezWB/bN/hoaGMDo6ivHxca8ibI1b2hafMq51WOVD362Fbda9gMAB/2e71RLsAxlBvFDv0TnUP63bd79VThUwkTcpQLJKsK07qB8++aTjZmmKHg6VfQoiOS7cezg0NIRms4lOp4PJyUmcPHkSyWTSWfu5P6ZQKGBmZgahUMh5WJkoiQkJkskkdnd3ned6a2sL8/PzmJiYQL1ex8bGBjY3N1EsFrG+vu6OM+AaYCQJDWJaut39jITsJ9e69t2nqGufLV/jeFOB4r2KR0iHdpytF4LKI5ORMOKB+5WsoqT0aQG7gt5IJNJ3MPbOzg42Njawvr7u9hFpOLmep8TzshgCTPrguHC8GZqoxk+m2daziEjLPK+IyS10XNlmjpF6whVga1EFxHeNPESz5gXdz/oVG1gexGftNaU1K8dUTum7g2iORenHKoO6ZjW8XeWPvkPbxPFg+zku7Xb7PmXJ8g793co6LZa/sp3kL0fhsb7ygVd+WFT4AsHWcR3YoLh23Zujk2OLBeKqoBAwK8O3QIDMSUGCbSOL9sH3WdscpGixz0F1WYuCLboh3IJeBRi2TlU0rSLoA3i6KH3KhAWBHHPbbp8HjwyVz/Hsn7t376JcLqNcLmN3d9dZrTSmNkgZswAqCGxYwKH0Q4FCBYJ/0Wi0zyLtY9z6Wa3ZAO5TbrQO3WTLeaFFkL/rmOr8dbtdpwT5lF6Cfi0+of+gxSpDGnOt91i6UQVT1yU9DyooGeccDu8fRthqtVx63OHhYVy5cgVXrlzB1NQU7t27h5WVFZcsQg9j5rwRSNBamkwmnSX6+PHjLrSOHkJfuJav/z6e5DOeKL3ZUEWty7dnT5V3rvPDgDjrt4qa9Q6xTlqZCVR5OCzXpoINGwZBQeh7vx03q/zpPark2eIDjfrZB2S1WKv6UYptv6575S/aFysDyQd8ffLJS+XDdv34CmUc369zDhwk2aAxkM8QYPE6vWnZbBYzMzOYmJhAJBLB5uYmqtWqM0LQc89sfNpmKlLMQLa8vOxCsSqViktaoft4CJAJ3FWh0bp1DDSsmsXH1/ld77Ey2CrhOoe6TmwbghRWvca9hwos2X62x+IOe51z2+v1XMIXDZfjHHPMmBpex1fXaiKRcKHBqVTKeYc0BJv9GBoacskiyDuUf5BXMA039wvqWUDK+ylHrSznuCsWDIVC98k0nS+2Tw9FJ13zsxoyNexZ+aAqHT668RlsdN0qNuVnynMfTQTRHYvKQHuf/exT6PQ+rslBignrsbTO8VWDptKq8i0fnz9q+a5RfnRR6EQEhbBZwWcFpwWnhxUlAPXOWEYZZGn0XQuyUOgzQQTE323/LEHqQrNKiAoAvdcWK5Ctl8Rq/j5Lk77Ptp3FfrbCyWc1UGBPKwW9P7VazYV9qVueoY+6edBHC7bNRy1WkbPzRFc+AHeCN0GECgoA9wEObafP2qLWQz6vn60Fh59Vabbv1H0eWpdlaL750TYDB7RhQ7ds4Xzaa3yf/tc2qMJH4U6LOePF2SYKL3p/+Nvo6Ch+7/d+D9/+9rcRi8Vw9uxZrK2tYXl52WWT4jgT3DHpBedge3sbxWIRjz76KObm5rC5udm3BnUefR6LIJrzgVYdJ1/ct4IEO1faDitULW2pwORaYp3hcNiFfNLSq6CBhcpisVh0+zAAOKuxJjYgr/cpHNp3Sw+WH2m/dGws77P1WAAexCetNdfXRv5m5ZL1hNo5UuunFrbLKm6+Nvr4ENB/qLVvvVmjno4fea2vr8rnOp39zGRTU1MuAQjP2VpbW3MZAPf29lyChV5vP811q9VCpVJxSlKr1XLXmZADgAO+NGaoMs2+McRHxzZIOfCNtY6vNfIFyUCOE++1iqpvTny0qbyMhfs4OQa+5y09KR1Rmez1en1RJT6gymfZF58Hm+cdcSx42KqGzlFh06QOViECDvBVNBpFLpdDr7fvNWMkhR7Yyuu618biQw0BV+Mjx0g9+TrPOq8cc6skqUGacsHyKzUYEsOyn5T7lr743xpnLc7Tudc6WLSfyh9JG4OKyg/L13T9DJL5FlcFGfBZ1LCjWEivHxWPfeCVH2VemkrRd59eV4+FXgP6wbsKfQWcvsmx4XNcXIOAhi2+Ng4qPgDiY7bWwqftsRq1CmMNf9G6FdgE9UkJUt+lTMinAKmyos8HgQtbJ+uiZVjri0ajrh10p9PKZMfJKopBAMO32HzjHDR/PjDJd9rwIzJnjj+t5ofRiR03q2ywqBBV2lVGqvHq2oegeq3QsOOk160nx9dm/W7Xtb6T65t0xrarUmWZL/vNtjCrXTwed3H+sVgMhULBeYQ2NjYc2Gg2m4jH433vYEx7pVJBJBJBLpdDu91GsVjE7u4uZmZmcOnSpT7DjfbXAp2g8fCNr13/Cmbt3FsvglU+1bvsmx+tm5ZanQfLnyyfCYVCzlLabDYBHKTJVr6jdEljRVDmP657H3Bhe30Kgl3XPoVGhXsQP7fFGgr0mcM8RLaNKpOsAcrShuXB9je+m+MJwBkD1Chk28GitGr/FLxynKjIJpNJTExMIJFIoN1uuwyT9O7QK7q6uop6vY5arYZ6ve7CnJS3s+7h4WEX8qZjovtDtB96j869VYZYgpQi/d0nE5Wna51B8+bjb8ov7Wcd51gs5jKrUYHhegnim765V3DNcE8fnfowkf2eTCYdVuPZe6VSyc0dkyswayazzfGAWc2WascikUjcx1O4x3Z3d9edu8ZENFSM9NBuylrrHSP96zVVjOxcsI9UmlSJ88lpzg2VGauI2vBz4krOWSgU8soO3meNgvysPN4atyzvV9kQNMdWlvt4ql639DEIE1tcqXx7EEYYVD7wyg9wP2i2jEX/a/EpMKqwaLiHHXyt14IoH4Ni3fZ5fg8CcTYExk62rygTDOqvj/FZxYnvDNLC7Tt8AlCv2z6rAqRgxPYxaBH5wKEdAwpDglC+m0qQMi9N36tj5lu4QYDUjvWDMAJlMMow1SKkIF4BoU2jrYk/fPSi86bza9ug80/a1g38vNeOGa+z6FwFMT0L5rQMokOth/+5bvV5jp21xLHo51Ao5CyJmvWNClGn00G1WnXjkUwmXZhGt9vtS8tKAK/nbXS7+4fKVqtVFAqFPoDvEyh2LIKKBdZKp1q//uZTWJVXqfBnPT7rr6ZFVaCnCWkA9Fn8GfaiXtZut4toNIqdnR2srq661MMqzBXocH+JHQelWxbL21QhsyCY7fXRK/+rZ84KYX63gOFBBLSPd+p3nU+fkud7t9ZpjWL62Vqc+Rv5kIYKaWgb69Hn1YtEIyXD1JaWllAqlVzIMcEx38VU0twLube354A4Q4+AA9rh+V12vFQRtwqI9i2Irw9SiH0ATD30msGN7dZ7FYQqPVmlyif/9Vqn08HIyIjLQKnttkqblWGKoShvOBd7e3suTI1JYPRZ7sHQuiztct8R5S/7pIrE7u6uy8hKpUTDkplsgYe3UkHiOzjmVOSSySRCoRBGR0f7lBIqwvzcbredx4jzRF7DsGUWn1HWym/1flnPnhoaOF5BSpYvnJ/FepEsr7c0FKTMW2XHR3sWcwH9+92OanzV59X5cFj4uo6JpVO7Lo9aPvDKj1V01BvhEz6DNFX9rIJBAZlVbnyWUPUU+ECvgixrcdKiTIR/er9dEFZ4WY+FKmq2+BQIazln38kMdJwtaLOWZd/iUPDg+83XNzt/6q3TYgW7Cg5aikOhg2w6Fnj7FDifQhckVHxt942xb450vIPqU9e4MnubTtuuBX1vkKXFriF7/oEqQXaNcC6oPNjf9LuPfn3r8zDFR/fOsZ2qIOp4quVZAa/Sj2ZaIgDgnixaCNk2nuVTrVYxNjaGoaEht39AFVYF/qVSySlT5XIZ4+PjLnxJ15EVVkFr1yqelif6xtfyHY2nt+/gvaoMW2VS+Z6OJwEHn9FYbq47G++v51eEQiHU63Vnzee+AwITDWP0gVlLX1YhsGDWKg92rGx9PsVH7/WtL981vW4BQtD9/D1Ivmm9QaBIQ7Ttb9p/XTNBdMg1wrlrNBpubwbBJsGlpt1XcGhDUkOhkFOSVREnDZEPqQfI0qSmLlc5qv3XcfQpHCw+IGnHWsPqeK81LCpPshjBejN9c6JF54N7c1KpVJ9s9dGW9s9iISoe9MjwWcoVpUuOq+698+EkVYbt/kLLv63yRXlCJYt/iUTC8QVVhjTUkYW8gkq0jkcoFHKKkKbj5h4y4gR+VvnL59UrpXOniVE4tjakVGmK9yg/CuIvSldBeMvH0xUjWgyrbfF5vHQ89V7tD3mz1qcetUF9Ypv1ehAf1T9eO6oi9IFXflh0EJQQggSDTqQlNGWsKuT5WRe5Cm5es8yM//mb1Vh9WrcVnj7N2/e7FiVwC6D0u60ryIWqY8jvFB5aL8sgRY3XFSRpW63w0LZo0Thg+y5to95L4aLfaXWyVmXWo+2zY2zHySoy2j+9ru20QF3f5aMnO8YcLzJueoNUCFjryiCFgr/rHFo6V5e6VS61bUFtt+On31UB89V1WNv5PksLOrcKmvlZrcacE2auicVi6HQ6DgxEo1FUq1VEIhG0220nVEm/oVDIJUJQnkEwH41GUalUMDk5iVQqhc3NzT5rmI8X+AC4b33Y9R1Et5zXIOHIz/punRulVZ8ioeOvykc4vO+VbLfbDjhwjxVwwFeYwbNSqQCASw1vASXDV2xhG1RhtTSi9/n4aZBnx7fOffzUfvfNYdAat2Ooco3vtYlJdL6CLLI+JU/lHMELlQeCQgLQTqeDcrnsQCoVHyo/vV7/4a+kD1VeCK7tWHAtatga22HlDueW/SAPtKFRlk+qjFM5Y4+h0DrsHLNPStNapwVwvMd6CeycWXoatP5t6Xa7zkOj3i8fkFVa4LxbWRkKhfoyj6rSyPVH5VP3eHF9c67sevUZlnVNURninOjREJxzeomY7EBpjApgOp12ChGVIt9ekV6v55Qn5W1U3rkGqMhTzirNW4Mk5y4SifSF6g6ikSBlVIulJS0W36lH3d6nmCZIYRhk2LX7hdj+QXLD/m7lvb7Lx7N1vR1lPQwq3zXKz6DJ03us8sHvNnzLLkYyD6sYUejqRFiQaRk8w0O0DRZsWG+SBRu23/zdZ8VjsZ99Alvv0/cFEaoNh7F1DwIG9j4F0tonX9t8QsIucAUAyow0TSLDA/R5FbQ+kGffHwRKWdTKw+KztOifAhdLJzoOPgsPLWZkygoq9b0+5qnCQD8r01alQcGItkMFi495+pQXH0Ozc2yZH9tjxz5oTlQJVOsqLZO6J0PP9InFYshms6hUKo42kskkJicn0e12neKSy+VQqVQQDoeRSqWQSCTQ6XRQqVScpZvtisViaDQa6Ha7yGazWFtbc14nO24sCmB8AtUHmniPghxrWLBA2Roj7LpT2lDQwe8KjvTPF1qoYIoZD+m1pLLJzE7Dw8PugEk1fKiVl/1Vfm37Z5UKW3x9DlrjQeDgMMHsU0D0M/ugdev+AH3Gt9ZUbqh3hH/KI3R/hCownBfdU2sNg1bZ4txQripdWBlFkKz8xGbvs0laWC9lBmlK145tWxCo1HZZOTto/vicj8YJhJVP2THjnPEd1kukY6/3Kk3qulZlginCuZYs7QZhJZ03lZtUeoOMC6rcWOOSvluVGd5r+Yntr/IsVXYtRqCRhPTQaDRcQiO2KRaLuYxzTMUdjUZdogWVi0rHmpZfcYCGaLbbbZdNkGtIaVa9RdpPxaKWj1kDsKVL/WxlueXrlu/rmNvx9K0D31oIwqGWD/P9pAc7Bvpei090zPiMNbjr+4No21e+a5QfoN8afRjzOoolWQEzv5PxKghTBuQTSEFWatsGtXb4QI21GtkJD7Ly+QCPXSi09FmlywpzXWS2z0qQltHb9mi7+VmB01HGUBecZo+yi0oXHT0iVICoHHB/B+PLSUv889HTIAWIYzcILCqT0Xmn4NQwDUtvKtTt/CjYUGbM+aUyZPdJWPrxWSl99M1x5TwRLOl9Ckx4/yBFyNKNPuvb46Ht5e+qdPI3Wpz5mfUwVE3POYjFYu6eTqeDWq3Wd3AiFZxarYZYLNYXFhaLxXDy5EnnMQKAe/fu9c076a7X6/WdKaK0Q3rQeeX4BAkzO3Y+IaVz5wPxVgBqu3yC1TePCoj4TktDSgf2fCS1bo6MjLizRYaGhtweoEEbuNlGCyj0N+2rb32TdrRd2nYt1kpqlRvlpzYkh/cHKVmqXFqwqaFlqkTu7u5ia2urbyM3wRq93JZnKj9SfqKFfITvt4oNx8J65bV+3mPp2d7jkyGq9OhvFlz6+K5P9vjer++x8swCMqUPSzMK8vW9yitIowS/CvBJ35TPGu6pfeZ89Ho9ZLNZAAdrS3GFyiO7FrT/SoM+Xsu6grxJQTLRB+xZVE7rniy7dn1y1c6D3sc1Uq1WUalU+rzMDKnUlOdUhhhGrpEiKn+5t0q9K1xXe3t7ThlSr6iG1pFOVFZaPuZTdq0ySTq1eM3SrY6XhpjS+GEVIB+e1PpUuVWlhHShvEXPvlS+YOnG0oSVMb5ntM+WrgeVD7zyYxesDxBq8TF1vd/HFIIEp4IRn9CyAlxLkOVR71Whwu8+hUSFySCAHkQ0VrGyAEWJXdtgF6TPSuEDzlbQ6OLhvVosQwgSXBbYBY0HAS0XIpl7KpXqs4YyI4zGqvqUOQs6LaNRxqSWHh0/33WlKbVg6b2+vU4KKFnImHu9nnPfk+EzrEGt9fbwVDv2Cmp9gI9MnWAhyNKnz2j9NvxCx97XP9tGtRyqFVa9Adw8DQBzc3OIxWK4fv06NjY20Ov1+owB5XIZd+/excTERN/J1QQbIyMjSKVS2N3dxfDwMKampvDcc8+h0WigXC5jcnISw8PDuHPnjhuv4eFht8mW2YqCxtzSuOUBg4r+bgWcfQd/41iR1lSw6fu1PuUPyrd0rCzA17hxtdwquOIcsj2Li4uIRCIO5ClPDxoLVR51jfkUFgs+rBKt7bJjFsS7fL+x7WwH+8310u123UGemn2LQIpjZgGMGm1s31RZ0XZZsOqjL8vX9b8FXVzvdg+EgnkfQFaaCVrjyveC7rFyT8fb3qd903uohNj+EsypdxI48EDadin/t/zNrmu9l+On82v5pvJSepbT6fR9Spsqqiwash8kP1UOKehm2y3o5mfrtVI5pUqOxRC+cdN50rFVPqPj6VOWdN8qfyfv1bnjniYaB5lgwSpKxA2hUMiFWZImWHQeNNMc36vKkK55rl2G9/JPD1q2Y8Fi+R95J3/z8XDiIV1zikGC3mX5i3rjlb9YfGONYMQelpf6CuvnWrBRNYNwgS0feOXHtzj4PUi46wDZQfZpjb5rlmn52qTPWmCsi3DQO6yQscSm144CglS5ss8po7TjZ5lnkLJ32PutEsBFYK2DvjJoYVoFJEixUEZrFxmZHy31tOAQaFiLn2W6fJctHE8LbvR3bZv1NFkh4wMpVklWweMThIyZ3t7e7lOCyJgGed8sSAiyttgT3pVZanYoW3wgWeuxz/nWvt6rYSh8NwUiw0Py+Tzm5+dRrVZx8+ZNhEIHIVm7u7totVqOPoaHhx2NMLyBJ6ozKUIqlcKFCxewtraGyclJdxjf0tJSH4DmAY/0HNlx0OJbg1aY+XiB5YMKZnzgQ+vRdWVp0tZlhSf/+4CdbRsVbg3lA9C3ZnQcVlZWkEwmXVih8iy2y4YI6iHNSrOqsKtAteNux5triGnOdf2q1VNBDWlR989Q6bNhaLzG53Ut6HzZfrMPCgzsvFgg7PNC+WSXpSOdR6ts+MCT/mZ5mb1u5atPrmrRurV/PjntM9T55IOOB69Ho9E+OaZg7qhYQWWwlam81xpoeY3PWjDJtPz5fL5vf5QWm0RhkKzVP6UPn9zXNaoyR++xBhTLh2yxMs7iEztffMbiGwB9MtXSEfk676PXhn3h/3A47PZ1MhU303BTflIhVl7C8dP9RJYX2PBTyhW9h3uPVBYynJ194dhbgyL5iW9vseLLQXjSrm+LKyz9UP7zXpXD6ulUmvEVe13Xm8UJD1K+K5Qfn0D2CWd7n9U2tQQxQd97bbHEYL/7PEn2edYf5G2xgsnXB1un/vcRuPUqaB99gNO+T+OC+Zv1TNhn7RjY/vgE96BiF+hh9wL94SbKWOwmTyuk1LOhbbfMhEWFhI1r1+f4WZmMhnOqMFI69YEVC0gt4ydg397e7ks9TGuQHcsHmQ9lbHYsdK+NWgYVUOj7lE4sYLBzqX22SjFD4vb29g9N5H6cjY0NnDp1ynlx9JwMYF/ITE5OOi8ZvT9DQ0Oo1+uoVqvY2tpCNBrFzMwMer0epqamXIhRKpXCiRMnEI/HnQWPgowptLkHKUhB8BULHPWaTyj51oePv9j3azpqfU6Bpm4WPyp/VCOIAkjOuVraQ6F9K2skEkG5XMbi4iI+/OEPuzBV1mkty/zMhBW8h/2lMqwKln6moqIWW/XAsB+aDEAVIF3zCgbsni1fm62Qt8qvKn2W5/jmUunDN+eHrW3lLb6wP1vU6qxj7Hun1s/Pti++dvmAl0+50f7r2NvfrGWa17SPdq4sCLPAXe9lPXyOtGAL5T+A+5QZO9akNR4MbD0vyg91Du3RDrzH1u/zIuocdrsH+/Xs+PnAuH728QutVxV/Wyy/D6pPiwXvNsSOHmY7vpSVfK/iAxoQmVRBw+eoEFHJ0v+93v7eUZVPVILUg8uQ/Ha77XgMx9xn+NTxUzqynm2lB12bQeGM1vjD8bPRHTSg6npQr5BiJot1dcz1s86b0tZRsJ6vfKCVH2U6Clp94Ne3uHwLywdytRwmTILaeRTFJOg5FVCWqID7Q1ns4lcmPwhUqYWSRZUZXVBBVnstvnssset1FVgW4PpA3qC+2TrJJLVefc6Omz6ri1IFoWZD8rXdJ9A4vtYrou3Rumgts/vB7GffOPN9g+aAhQy31Wr1Wbc03E5DVuy4+cI92HbfGPCdug6tJ9RnJLCgJKhurhUfQGPmIG52rdfraDabCIVCmJubw+TkJHZ3dxGLxdDr9ZDL5RCJRFAqlRCPx5FMJp0yQEFULBYdIFxbW0Mul3NpWHk4Kjcis9/b29vu915v31JGxchH+3bt+tbBoHVin/Pd73ufggIfaPWBD20nr9v9Ob61ZsGH7lfhWS+dTgexWAzr6+t477338Oijj7pUyFSSVFFQAc09MKQ/KjaasYkARNfy9vY2Go0GGo0Gtre3+xQ0fU8QmLYKuYbNWTr2yS+dI59xyvI03/gfpWg9vrXrkzv2vTr2Gu4G9GdpexDAat/N53w8VP9bXqXeFK2XPMwC90HrRr1rg4xFvnep0ho0RypDLPDjM3b/xMTEhEukwvdYOWH3Z9pIA8UaGgngC03SOdEQVttOGoqA+8OcdV0E0QENK/qMGrb4mzW+8t16H/80W5n+6dom39I9eryP/CIcDruslVo3w+Do1adyxIQLjDzQFNmhUMjJXosFNOuieopohKGxjjxNeSppQcdGeZOuWZ0bW6ziRHmqPM7SuD7rG3PlCbp+VP6rQq74SrPs6W9HKR9o5cdHsMqYfPfrxCtz8DG7oPf5rNAWkPkAgHpWWJ/P8+FjAEFCjfUeRXgEFWWsNryE7+JYKSixxY6tD1hZRucDUr4+6EIYNFdWGNq+2PuBfu+U3VDnAwDaFt2gattjDwlVgWI3BGrbg6yMvnutIsz7VdgHASPfMwSI29vbbl8QlSFNTWsBr09J1rZboQnAeU/o1rcgm2MxKOTCVxSUWkFL72QoFMLW1hbS6TRGR0cRDoexubmJnZ0dJJNJjI+PO6tdOp0GAGxubiKRSDiPTq1WQ6VSQa/XcyEQ+Xwe77zzDlKplDtzg4C5XC67daNzTzB9mEFB1w7H3K5RnQM7v7669HfLXyzgs2Dd0pZP8bLA075bBbC9xs/Kl6iU0gJ79epVbG5u4vjx40ilUohEIs5bl0gk0O12XWghD9XkuiWt654a234FilwfSu9cx0Hj61Mi7BrxAQ471zonPrlglSHl2Vqf5SmDPts5sfUHhSor7fjed1jffePge47rx8fT7JwokLeyR+/Rfvrq7fV6fXxdge4g2W/fYYsdX1U2VBnRUCHggD6ZwGd0dNQZDNTAFjTmvvYqTSkPDcJL/MyUzhx/+ztBLq+p4sX6bSSAb3+QhorqOOgztl8Wo2m/1JNCecp5snvUguaMf3aPVqvVcoe28hlmneNeInt4LP/0HfQu6ZlLvd7BPiCVo8w8R0Wp0+k4ea4Hk9oS5O1hGYSFdJxs0fFTuiHf1/86TrZdGhZOOW4NKQ9SPtDKD9APCH3EOeg5K1SA+9NP2rqPMthBGrMF1FYhsIuT91JYq5CzDMgKicMYuE9xUEHtI+KgjGosQUqYbRsJXcfZV5f+Zu+xC0kZs8/6E7Qw9X1qxeU77YK0IILPWsagjN0yBt5vrXJ2XJVh2HlUurDjybFQmuMYaMy3T6HW6xTAPDdIN3yS0Q8qQZ4cpW9avrrdg/TimqLVAhbWpX2260Z/07G2YLDRaDhrHADcuHHDCYh0Ou3mrtVqubN5mAhjcXERy8vLuHPnDgqFgkuhGo/HMTIyglKphGq1ikajgYWFBWxubuLq1asOmBOscAOsFh/fCgIuFjj4rGA+oOKbc+vBsG2xQNtaQgetL/3d8jHbNwVeQL81l2FvPI+JnrZKpdKXwYhrSw+s1b7qmGgbrXeLYDNIsfPNia/eQfcHASv7vPIBO4b2mUHtsL/7DHCHgQk757rO7L4t5flq9PH10RoHfe/UfivPV6BoZZH9s+McROf2t1BoP9xZLfaWD/pkAdAP5DXBjD6jeMPKCR1Dgn/dLB6NRl3SlVAo5Pi0ykYAfV5NnzLI9WKNa9pPPqN90DXmo0tr/PDhFtt//az838p4Xc/0EulatkqdDVnjs+SfqmQOMkwpLuNzSt/abratXq9ja2sL9Xq9L+mERiPQOxSPx70Z59TroooX50QPG6bMajabTr7xd/1TelVFTuWnVV403C2o2DVnx0/n1cfrfHWoUVb3Dz+IEvSBV36AA2uMLmbfINjQHGWePoUhSHnwgWoyImtp5n87+dbNN0hRU+LTdga1xyfYg4plULbPqhDwurVe+QRHUF3K4IKsBPY3XVw+64QFFVYgkyEM6rcuPA1J8Y2NCgi+xypDtv+qTKgwUCBvlR8FgNona+1XkGYBpsZ0s91qvfP13zJsjUPe2dlx+4J44JwKKi0+pmhp0wIWjSNWIaLM3dbpAymcP4YeaDgZ693d3UWz2XQMtFqtOsEZiURcKBxDnjgu9+7dw+LiItrtNsLh/XOATp48iXK5jPX1dXcuxPXr19FoNPCd73wHrVYLq6urAODCFzhf9LAdpkza+bN8Q3mEHetBAsgHyn08yQeKLc8cxPOCgLiuNY0713VHBTkSidwHtmKxmKNzZl4KhfY9e1Ta7X5EH59UeaBtU6BJoKChHrpniICBoa363QJRnSdV2BXo2jAxBVV2PC2v5XUf//bNuwWIvjXtoxX7Tkt3/OzbG2n5uB1/rc/KP9+fzyBi227b4LtX5yUIrGuqeu4fjEaj9wFFnxeExeIFnQP2RfGF1qnGtd3dXeetpnVfQT6BcyqVchvz9/b20G633T4S3YdJ2UGZZY1rdl5Vvuqmep0zK9ssuGVROWjxXDgc7gud4jU9p0f3x7LvrJMKCNe1YjbeqwqQzkNQ263h0vIZa0DlWHB8tc2qkGkSBRrp+F2z0alSxPfRUMn29Xo9jI+PO+8Qw+Ta7bYLl9N03DTSabvVQOkLc6dizncqLanCbedbxz6Ip6ncV2zgm4+jlg+88sNBUQ1cASWLBXT652PalomyWIYeBPRt8QkNy7QB/0ZGW4d+t8JAv/vu51j46tOxskXbYYnUMkP7PisEfP06jHhVMAQpf9ovZUjWi6bPaLF12vG19+kYa932Hdo+9dRYpkmBpn3WvT6ajtIqc7zPJlLQEA0FVArA7Hu0n8qsCdSZZpKZz5jtSsMN7HgpsNe5V4FL5k9gyX7qOLFuG1+udVhgo+CPAo0WuN3dXSQSCXfODtc+vTFMUcq5npycRCgUcoBhbGzMJUv4zne+g3v37iGdTmN4eBhvv/02ut0uyuUyer0eEokEstksqtUqWq2WC7eq1+sue5wPNPkEhW+9KNDV5+x3X/EBkUEC3xYL0H31W/Dkq9/HP7RomI+mGiYdbm9vu7WioSMjIyNO6OteDQVJqoCwXirDGs6jBoxut4t6ve6yLrH/uglY099aw4Wube2zAijSvdbBP1UGdYytguWbDx9vC5of+6zeO2jOfXI2SIGyfFzbEiSP9R77nWPgM0ha2gtaY7rW2A6CZgLQVCqFVCqFer3u6ERTK+s71DOpNMj7FHwrYOe7fUY6jtn8/Hyf95cgn/d3Ovtn3XAvImmW4VlqQCN/V8CrBmb2SZUwBfKcL6uU+OjBZ0zle6zBUBUrVez0OR1TWzeVDhYqV9awZteS3qs0z7G1hkveb/GiFo6Z9of18pgN7bfdX2bTcKtipEdY6DiGw2EXoaB0wXlmJAKVIirFlINU2DjG6sG0spZjot5B9pV0YXmHD3f51qcWqwgdtXzXKD+qPChRseiZHpaZWTARRKw6GcqUfIDFPqNFF4yPqakQUMGrv/nGQfvhE3w+YGvvCwImbI8tStQ2UYLWpeOjFixlmkGCSq/5hKy2lYvdMiNbl10sQXNkx9WOk95vF7NPCVLriCrsBFpaVHFTMMMxtNZdVarsvGo9CswsvehzVjhpfd1u123yJNCkMsSQEO7psVYxFVB8t7UUcWyURrVf29vbri4ViEB/yIKdTw2b4r21Ws0pOOzP1taWC3MjYCaYOH/+PBYWFvDuu+8iGo2iVCpha2vLASNm+rl9+7ZLidrt7mdi6vV6bpyYvlSF71HWN9uogkUFj/b5MKAZBPp8Y6drYpCy5FNqSDOD+Ivlu7b9GtahhgTSvdKvnkpP4c2QElq8Q6GQs6YyVp73AP1n06iFn3RB5YNAggqz3dgdCh14pIAD+uz1+s/psWOjYIxrXtf9oDnzzZEFEVYhtTLIZ6CyPILr0q4/5V2H0Z6CXR+/9ckRSzO+daMgSj1wVs74nrPt1feQt1F5iMViDnASLGazWQwPD6PRaCAWiyGVSiEUCrmEG+SNun9FsweSzi0ItP0B4I5iKBQKfe23Bi4AaDabqNVqfcYrhkkpD1HlZ2hoyJ1Fc9h46buVVq1iobxdxzlI1qtstbhF5a31dFlli+CdY0M6pQzTvVs+YA7cb5igMsXvimfsOtLnLT8M4qN8h0YvkP+tra31KXBMsJBIJBCNRpFOp/uyuGr4HHknk8jw0FYdH4344H8eBE+FmTRsvXTad12fViFV2rG0pGNjwy41ZPD9lA+88sNiLSTKHIKYh1VkWFQo2Dr4WSfCCgMF2qqYDXqfLmwFQ6yHv/kAhF3g+i5tuw8c8XcWCzZJXGQQ+qwKOOtq1jFUl6yCd1//tFilRoWXT/ixnayf77RC3Qo3O+darx1TvceCA9sffb8dX1+7tU5VZOz77Xu0PUprQP+5Dnof3d+aMUW9LIPGQ+mbViq1qGtYhR4my75ruCDnVteGFu2PCl97NgrfS3DiezeFyMjICHK5nKtvY2PDAddwOIxEIuEArz1Y8MaNG/ihH/oh/NRP/RQWFhaQTqdx7do1LC0tIRQKYXJyEslkEplMBuVyGclk0p3vwDSomUwG6XQam5ubaLX+H/L+NcbS7Lrrx9c5dTtVp+7V1fee6RnP2M6M7fgWnElQFATEhASB4khISLFBCJDlRCLhRRQUEAlKDOEFICES8YYfElhIQYmiGMgNxQ6JQxLFduzYc8nM9Ez3THd1Vdf9XOpU1Tnn96L03fU531pPdU/4/fVnzJZKVfVc9mXtdfmutdfeT2dE7p0vWGj4fE4fVqpApT+TvZfJi/eLvzkGB2JV73jJInkZ6NEcMkotEEAwQv6p1Wrlmz8E6tr7pXRG8pKOlFUf+M0KOi7ie65GHR4elv7VarWyUqp+04FVfQKfBFZylGhTHDBQTmmnaCPIzxqDZC8LGLlty3Qp++R9Ib9S1z2MH503fAyukzI7lr3vfaziyyr5i4jo9Xqxu7sbg8EgNjc3I+KEH+fm5qLT6USn0xn5zom+EyZ9Oz8/H7VareynFK+6rve+EdtwhUd05kEJDLRpLErLky6UvExNTY3oX6ayUQ6yufB59bkUf0s/8xn/XxiDTkq2yu+2gt+7ES18FZfy4Ht1RMfh8PTj1uQDtSV5zBx1d8ZIG++T7lelFDKIWyV3Cr7QsdP+VKbCjY+PF5uk9GrZorGxsRLs4f4h0YCHEqmf2kPUarVGvkskntE16U2OT+Oho0Se9eJ8RP6nzXQ8/Cjlbe/8OPFEVM8LdeObKXkyYMT5G7bJ+Pw2BwXF3/XIiStXTqT6lUX5OOmuEOhk8J3zIl2s19/xsXp9bN9XKdxh47ItjZjmS+AlMzy67kqXxtedQBoTFxZGeAiiHlbIT/4eaUyHTjRwBZYpfjo/Dkb4rAwp21TkSr+lwOjUMEWBS9pSVlJYqpv0JB+Q1+jIMgrEI6X5AVU6dR4tijib+sFopAojp3pWkTEBT/ZBbR4cHEStVouFhYU4ODiIRqMRGxsb5TtH7XY7+v1+LCwslA/D6aOGY2Njsb6+Hvfv34/v+77vi62trZibm4terxf/7t/9u2IY2+12+Z5Pu90e2cg6NTUV3W43+v1+SZ2To5XNs377CocDjkdV+JmDUwUK+TfpT/mkHLrOYR3nAfZH7TdlXYBGAEAfl5WjqUilIp7iFa3AuP50PnS9JsdIufATExOFp7a2tmJhYaFE/jWvEaPBh3q9XlJJtJFZTjplSiDRgUPE6MqtZJv05Lg4T9QlnAcHHZm9rAIZ/J999JX9DPA6kHO+zNphH93x4XWvM+NP1pU5T04PPiu6a/U5IorOFLjsdDpFpw+Hw3L0dL1+8jHSvb298r8DaQafiCfoJEXEyMqNVp/cmWXxYJn0IueDezZ4lLPbTLe1EWf365F3xfv6m33i/NJJcSzj+sS3OtDJ4YoO6xO9snmWDZSjxvGqb7ovvaMsB5838uSjrE74fDGAm2E69YdBY84lgzpa7dve3i40U0ZCRBTdpWv8iDfprvrkLM/Pz8dwOBxJh+OeIp0ayw8283/1U+PX7wyvEhc53fT7rdqUt73zI+bwJTA/0s+j2RnRXJkzp1aMTyXhxtKVNRnawa/6zrYkvHpe9TIaRPDI/ruTwvb4Puv0cTuo4tioBPk7cygJ/LNC5aDnVaqANvtGBe1jcZBPUMA+Ms3InQSCK73rjhfr5TvkLd8b5f3V8+yL08Jzx33OeY11cBWG7fN0FzoQzWazOD7c+MhjQH2O6Kh6Xwg2u93uyDcPFHESLzj/kK66ninDer1evodAZ85TW2iQtGR/48aNaLfbcfXq1bh//368+eabMT8/X8bc6XRGwGWtVitf8/76178ef+2v/bWYmJiItbW1uHz5cjz11FPxyiuvxP7+/ki/GfXU2EV75WcLSJ9XXBZ9U3FWMkB5noHIgGp2vapvDysuH1XXXK94oZGnsyBAqvQO0VSregI04vOIk5QlB7PUB+Jl6lM5U0dHRzE+Ph5Xr16Nw8PD2N3dLY6S5KnT6cTMzEwBTaq/2+1GxGkuv+4zbXQ4HI6s/kxPT5cUJK1I6uhud2xEU0//Fp3c/kmv+oZlt4mZU+s2hzbq/yu+eau8zL65M+jgNHOmsn67g6fxCixSv3MFo1Y7Xe0bDAaFH9SO3vNVOnfIiW3YZqfTiaWlpWg0GiW448BS72rlh3xBmyv+Ib7xlUnX2fV6/UzwxuvkODNMkukB0sIxjs+rAm6OGcQH1Ae1Wm1ktUzv6NAK9pF7UyQfXBXT+DNcwX5TjziPsl9qXw4FnWO+o0K6E5epSM9FRDkAJuJ05XJsbCx2d3fLeLRqPjMzE3Nzc+UUUwWRZMfHxsYKr9VqtZJK7oFN2mQerHB0dFRsJdPqnEaOszhu1U/891bK2975oTCS2Tx6kilvCgj/9ghLRIx4/B6FzZS8G3gKOb1eCaaX8wBCFYhW3RkYlbLzaL4r+kzYXGFVKSNdy4CcFJTTms4rx+yOBgXb63eD7wZONGOhAuNGzszI8nd2zyOdmUFlP92xyqL3dPQI/vWMr/pofOJTbZZUbrqUl5bJ6aB4upucn2xVSIpKUU6+q36LjjTwVOrtdnskDzmLsGXz7HIknhJfCRDIyRE9pJwVedrd3Y2lpaXY3d2NS5cuxRNPPBHr6+vR7/fLio1OYFMkS7Sq1Wpx69ateOWVV+LGjRtlk/PKykpxjNrtdty4cSMiTgArDYBoojk5ODgoziDBgfOQ6Mr9IlXOTxV4o66r4uWsPArQ9Db8GkHAec9TRhz0UbdRfqhXxE8OxOVgyPHUV9UViZyeno75+fkSseReLQIMGfnBYFDSLdfX16PRaJSP2Ha73djf349msxkLCwtxeHgY7XY7JiYmYnZ2dkSP0xERsGq32+WYWwEGRpv5PiPZmT4nj1StCuk56n7nvWyunPccTHP+XHbV36zQPni7tAdezuun98Vl4VH4m8/KOeXqCJ1ugU45QVrFq9frZT8h+8EgmuMB4gyOs1Y72UN0eHgYCwsLIyuC+uFqzHA4LCmdWQAxYjSFjgEqOlO676tGGj95jMGjjJ7SqaxT7/FdOR7EZR7c4t/6yYLe1LMuf0ztjzgbRFeRvibNOQ79rsJcomsWNKXTqncI/v0++VK0Ijbh/kJd45zLhjOLYmdnp8ypAnfSSUrlnp2dHQmYcG7EA/yAq05BjYiiP6V/pXe5WuTYhPpSep7ZRB7gflh52zs/AhQiltJISCj3+rPfKmTELNVKxQWbCoIrAWo7Sw1iSgQFospxorLIHBwaNTKCX/c+i1mY8+kCKlrr+Qx0Zft42DeP6HrdvOZKwp1ZGhumSVGpeR26L7qoMGqkZ3g/i3qdB+bIK+4geTTNBZZteRSJTraML2lPoyFl0e12y4qLlJd+CO4ZQclOeOGqkD6gxjxfjZkKlNFfOT7qs47Z1BGeTE9yBUr6kF7c08P893q9XsAtwYCcok6nU0Dk8fFxXL16Nebn56PVasXc3FzRHerv2NhYicK12+3Y2NiI3//934/l5eXY39+PF154IQ4ODmJmZiYODg5id3c3bt68WfqslQfyseSYKU40YuR3GtEsNzoDh9n/BCUqVU6PO5lZO/6s111Vnz9P3q4CSpQ/0U+80Ov1ygqL+FofNW00GmWuGWRRMEjOzHA4LMeez8zMRL/fj/39/ajVTlaGFa3f2tqKiYmJWFxcjOnp6ZGDN/T32NhYef7BgwcxPz8fKysrJUo/GAxKmpLmnc5Ns9mMiIitra2Ynp6O2dnZ6Pf70el0otvtRrPZLM48Vw2dfloVE60zR6WKB1jXeY7Bebzk+v5h/OPvntem5i+zg/rN/lfxOfugZ7MgmOoUn0o3KHDh8suxc6yyW6SPdCh1eq1WG8Ev0h3ikYhTvp+cnIzl5eUSpBIwVKHulM6X/vHgI0Gmp7ExQCZHQX3T+8RaopE7guoL+ZT1R4x+/8374XOmv6k3szmk80YHXD/+oW3aGmY/aOWD+sdXhdQH0Vxt0mEjj5JPaPezDCbKu6fx+X4lBpVp8/S+21s65VoNl80nj2iFSE7Q9PR0OUVQOpgr8tyvKH4RDmHxlDk6R445FOxUnx/V6Sm0ektP/x9aNLmMRvBEp+x5j7LSUWEOtjOHF4ITgnMKrLxqTo7aizhlaF/B4LP67YJCpU1FqcKldKeBA4oM9EvZM0JPkEMFQWfHHTCOhUqPik/vZqsaXHnTODnHdHZ9rO44DYenmxrPA2tUYupXRnPS1A0t57aKdmyTUT9X7M5/7hjQaaITFBFlJUdHVWt+pqamYmZmptCYCkYnY+mdqampcjQ0r+u3HAQ6UnRWGQGTUWRUnB9RlXLL5kjKl/yiQsXPiBxp++DBg2KQNzY2YnFxMZrNZvR6vbJfQzxGvhaN1tfX45d+6ZeK8/Pyyy/H3Nxc3Lp1K5aWlooxaLfb0W63y6bSfr8/Et2KiAKeWq3WGZkn7TjfBCMEgc4jpDV5MeMj1u3X2Cb7wfmQnPiz2fOZfsj67/2UXmbOuHhY37SQ4y5+kgEXrXXqJ0GWxqrnxTfaPzQYnGxqn56ejgsXLoxsdp+bm4u5ubnY39+PXq9XDsvQHiSd6tfr9WJycjLm5+eLY9Xv98uRwzoFbHx8vMhfs9mMWq0WOzs7MTU1FQsLC2VV9/DwcCRYJWdItGSwxe2XAy6f58xJId/QdroOY90esCC/VPGJbJDrC5YsiMa+8hrrZz+4miIHkSeesYgneE/HqhP4atWYzoDmQ22wPdIwo5X0oNrmqZqDwSBarVZJeVtZWSlAkXZI76k96kr2j8Db9986/VQ/VxIUIKKuF/DPgH5WaLuoI4gfyCNM3WObdIRUtEqrQqeAq1UMfHErha+U6VmlIDr+8/doix1Tin7qP+/7CqHzZYYbHWuyPGx1hHRXnzRmZXuIL2W/tUqk+VZgRytEOuBnampqRI9wxV50k/1XAEh9lR7vdDrR6/VKyt3BwUEZcxWdqso3hPPjQMEFzAVCysBTdjTJjLDr/aw4YNDfGRjV/+54sQ0ymgOSzAhlDguVNBWDwLzGzOg8x8PIgn5nkSQ6I7qWFTdimXOltquAj4CIBFBCo/EICDjNSP+sftGViimbd0Zf3GE8DxRmgkhlJxq4s6fnCFrdcHkf9bf6kh2eMBwOC/gWoGJurxxKrTBoX4K+F8Boe0TE7OxsDAaDktqlZWw5QzQmdBydRlot4tHPir5zdY+FoIOGjKDWFbfa29zcjP39/Zifn4/XXnutRKkEUCUDg8FgJGd6b2+v0Oe1116LX/u1X4vFxcWIiNjc3Ix2ux3z8/MxPj4ea2trZQWq1+vF8vJyTExMRKvVir29vQJ2abyqUkQ4NuooXc/43nnJ6/JS1Wb2/HkgJgPYWb3Z/+T5DJwz/UxRRTnRWuXgd2+kx+UYqY7h8PSbJXKWHFwSQNRqtZibm4t+vx+tVqsYdTkw/X4/5ubmotFoRLfbjb29vRgbGyvtjo+PR6/XG1lNmp+fj8FgUL66rtQSOUo6PrtWq0Wz2Sw58rOzszEzMxPdbjcajcbIylMWKKjSQfzN+apyjOlk6113ejPno+p/zk/243Pvdoo6OAuuEUR6O+xrvV4v34ZSmiNXqIfDYXFsIqKk00p25UwLjNHRyGgj3Uob60ED6R3uF5IO1oqmUiMHg0E0m81YXV0tH2IWmHd7kTm9+l86VAEs2USfb2IHBg5EE46VOkq0ob2lrvYAFudX/dGqlgqDnVmqIIsCWdxbx3b8XTrw1NPEd5p/BU2onzVm9d9pouusj3yhfjENUXPLsXMVJ5Nd53cFDrm6xHmmzGTBePHH2NjYiBOvdxQEHRsbi7t375bDfnT0tjJQZmZmYmVlZURnc0WSY5Fenp6eLvZWdllOFVeWqrCol7e981OlPMmAPpGeIsV3XClkhoJtOxAhw/Nd7ithdMEBatUKEIWGzOERdgkQQVJEpP3hOFRXlQNGIWZUiIbXSyZEHJczqRsoRinUr3r99GQ4/rjnz3qk6LIoZeaUqeh5KRwqDB9H9j77o3Fk4K7KufbxuGKkA1YFUn1JXIZG89fr9WJvb69EaBYWFoqhEI/IOanVRldUW63WyBwrP3hqamrkA2meHifa+kpQxKmjKUeLX7rmCW4smVPY7/dHIpJ6r1Y7iaSvra3F1atXY2dnJ+7evVvkhkC42+0W+mrla2pqKi5cuBCtViteeumluHnzZqyurkav14uVlZWo1U72BG1sbJQTcwRq9V2Eg4ODaLfbERHFiGSGikaSsp/xeAYCRWfyA+s9j9f4fFWhPsl0pz/nxec+a7vKCRM/in5KzeSYqxxC17U8rcnBIYGLUix4gII2kO/t7UWn0yl7hyJOHPR2ux1zc3PFmRFf6/SvRqMRY2Nj0ev1YmdnJ+bn52NpaSm63W602+2YnZ0t4LfVapWPVAoIu/71Oc7m+ry5zObP58BpRPvDd0m7KicsA23eF82zrmXpS85DmdPE8TAYI3ui1QFufGcAjNF4tqnVEs2vwBzBqnjL90dkNIyIomsYxJHjI0dZJ1S+4x3vKCvHBNNZYYoQ9bHepf13mnFcGnfE6Ul3nvbFOXAHh/VK55P31A/RjE4t70luiauclmqDtKEuVRusK8ORbI8OlIKEek7zrfHyuPoML7IdroaIxtnY1IbmgHqA9bkTy7r1nuSBK1CkL5+T/qrX6+lKKfEsdd7Ozs7ImNXOwsJCLCwsjHysVStEsv+ub8jHFy5cOEOTRy1ve+eHxcG6Cpm+atXFwSQNur/jStuVBYE2FS0Vi4x1pmQyQyGBo/JUnXRCPA3M3yWDy1nSGPnhRwkN+yJmd2VNUK4x8F0uT3NuMqNXBZR8/5UEiMrc54z0cWCWAQPnH+ZcM7Ik2lQZVudBORMZjTLH0XlXhsOjW1631yHDzkhdRJxxHvv9fknR2t7eLtFl7ZvRQQEycurf7Oxs2UCuiFq/3y//y8FXFJM/ziMc73A4LN9VUWTWT5th1CkrnH86S4rC3717Ny5evBi1Wi1u375dVg90ZKe+06Hldq3iNJvNmJ2djfX19ZiYmCjRf8nT2tpaie5rmf7KlSuxuroae3t7IwaR/OhR0/P4QdfoQGZGnf+ruDxk+rKKplWgmH9n8nvevfPqr2qT+lg6QDKp6DDBMp8lvURDAR+eFKh74h1F9pm+NBgMYnt7u/CjHO12ux3NZrMckT4+Pj6y0sqVPtqBZrNZQG69Xi/ypRWf5eXlsnIbcXavhAPOh9Gb9DmviGYPc4qzwNB5dT+qkx1x6jzQjns0/jx7zf5xbjUH/F5KxOnBMQ6wNZ8C5Aqs6NRAyXXWN/XbN/lz/whTsHRaINuempqKTqdTVpuuXr0aTz75ZOzs7JxZRSIgVh9kw31+CH5JK7dX6qNvEfCsEtJM9YmHKHP8oW1Rn9SGp+4R82ROkGjrNOcPdQDlnv3UfKs/tLWql7xIbKX+SneoT15HJjdcSVFGBg/UYPCcGNPxBPmQskAac+58DFXOhPpGOjvf8SAibkHhM3t7e7G1tRWDwUk6qPYBMeNDf0t/6iPiGfah7XtYeds7P2QU5mtnipVKiHtjKNgReSqYCyXzrZ2hs/65oDP66M5IRHWqCseYRf1ciH3Fw50DXqODQUWndkgzRnE4PheErFQJovpCp5LRM3/O6+B7NJK6R0VznmEmIKTRcqBJo0QeyBwsPcPIFfvpffLfVOTkHxbyBOeLkSP2i3PMtLNOp1NOr+JBCTMzMyMrOqS1jIAfWcmDE3jUpYCmpxyKdvwYn5wRAVimgXBFyOfMDaL+Pjw8LN/26ff7sb29XYCLeETjkcPyjne8I5rNZly6dKkYRDlSrVarfGum1+vFxYsXY2trqyhnOW+zs7MlXU97QTR+D4Y4X7tj73JPgO9OSeY8VYFUDwJlfcjkhbLv8pPp3KyozawN7aMRSONHGbWnh8EQ6UHNE3UbnRrKkesZPT8xMRELCwuxt7cX+/v75chp7q/QnChtUryv+0pz297eLocYHB8fx97eXnGsudegVquVI+K1n+POnTsxPj4eq6urhUbeBxaPAjttHwYSnCe8ZNfpXGdy7bLJ+/zJotxZf3wMuk5nhoEB9lGn/Cm4oyKHRjpmeno6lpaWol6vx97e3siqnXSZ6pfMe3qSaE/soOtOQ+2lEP/W6/WiL9vtdszMzMSzzz4bN2/ejHq9Xk6M1N4xt8dV+sBllk40nRSfL2EF0VupwLI5dLbcVjKoKj1KB0lypHni3Ff10W0eV4qYAjgcDsvJiaqf9pjYhn2n/XD+4x4p2hgBfg9QEDOQlqRFFc19NdLp7OOKGE0V5r1MF9P5VJq78436xj1RlE32WSuF0oW671iSPKCTMvWM5p+ZIBMTE3Hp0qVYWVmJ3d3d+LN/9s+Wfnq/zytve+dHhUzCiIOu6bcbdb5TZdjpqUacZShOJutyL5yKx50Xf9b74IDZBZPjcEeOgMf7SINC8OWKUYxPwdN1OkIZfR+1uLPAeqjg9CwdPV9dYn2MQlRFRKloM+eZbTsoJD/4PedHp7/X7WCV4+L+FoIEFfKEO6lUJgTSSoGLiBKplrOhk4Tk+ExPT48c6at9Kzxt0b847c6PDlHQ3gZ+II3zT/khvcSj/HaQNkkK6NKg+ZzIqdra2ord3d2RVEDR5Yknnojr16/HH/zBH8Qbb7xRZFvpa/Pz87G4uFhWp2ZmZsrR4h/60IdKZLbX68Xm5mbcuXOnLO8rT19O4uHh4cg+FefNKr7LikdCXRZpaDPQ5W25PnQQ6f0ioDtPl/J/6pvsuvpE0EM9J77W81xl50oP9bOepWOsd7ztwWBQnFtF+DV3OhluamoqNjc34/DwMFZWVmJmZiZqtVr5VlRElBUpHUn85ptvxuzsbDlAQfs1lpaWotfrxdbWVoluKkVyeXm5pMgdHh6O7GWKGN2DQYesim+qnFyfD7eNmQ6t0vtVvObPqI6qdtgHybfbWrbTarUKMPVN4wRo+/v75Vh76ZKLFy/GwsJCzM/Pl+N5j4+PY3t7u0S7Jbf80Cj3X9GRVuRe4+BqCfWwHPnhcFg+Ct3pdMohMysrK7G0tBTPPvtsXLx4Mb70pS9Fq9WKS5cuxdzcXLTb7eJgkIayGzqlTLrZ+cP1rgczNBbJhfS4ViL50U8/NYwgPbPLnG867b4/yPWEB7yzAIbGwj016gvflYzLmaGeiDibMaEx+4oQ+xYR5aAg8Y6vDmXj0rzIJquv1IP9fv/MfqOIfAWWdp6rKeSPKhkW7VQvZc9xjEqtdnoiov533Z3hXZdtfmxWYzg+Po4XX3wxlpeXY319PT72sY8V+crsTlX5hnB+6Di4MPMZAgNOphtsKoVM0bOOiLObFhltodHVsyxUxL7sq/rUJwpylcHw/RBs52HgyfMr3VlygEaaMsJTBWQ8Kp0ZUNKeho3FHb7h8HQDM3nBncVM6Dh3bJt85F+mJk34nu6xft6LGE3fcxo4j9ZqZ/dmuTPN6EhWLyNP7lSpDTo9x8fHZ/Leu91ucTbkCE1OTsbCwsKIIVQUVHSWUyPFr9OQBBT0AUcep60fOm00yByL3tGHLbUixDQJ8hxPddrc3IzNzc0SgVd60fb2drTb7bh27Vpsbm7Giy++GL1eL/b39+Od73xnSTcZHx8v4FagZXJyMq5fvx6dTifu3r0bd+/ejfv370etVov79+9HRJTDJZTS4gY2k4kqh8LBvD+TyXvmbFSBU+fNh72T1Z3dP++Z7J1s7OJVzbUMrfhGoFTP0jEk6JLx9yAC9zTqsAFtuNXcjY2NlX1vS0tLEXGyz2d7ezuWlpbKZlyldYjfx8fH4/Lly3F0dBT3798vshRxcrx1xImjExElzY0b7rWKKBkg73gk1mmZOZYq1D2iQ3adz+u58xwpte3vZiuXWQAn66uPw+sSfaSHGGAZDE5WZrQX61u/9Vvjox/9aIyNjcVXvvKV2N3djW63Gzs7O3Hv3r3Y2dkpqz1Kv9UKgsAyVxukT9lv9l3OAu2NAKw2b+sTBZcuXYrLly/H4uJiTE5Oxv7+fnz1q1+NN954I9bX1+Pbv/3bY2ZmJjqdTjkYw4va8dRx2lfZEmIXB7YE/NrPSFCucalkzozvv9X7dCAkd3JmNF9Vhf31fUV0ePSMxkMaaCWXOIJYyFeJ3Pb78de6J9tCfnVZ8NRBpqDJMdc+L9kzYRJ3dFW/2vB5cvooGJbhUtbpsshVRgaMM7nlCpH0FfW0nC/pdOIeBXpYT71ej/n5+ajVarG/v19S1tVfH2NVeds7P2RUj+Bmz6l4NENKwHMnKQBUBhRWLcf56oSDWRUCYjEPHSkH4N53FzDVx+gGjWBVVIF04HXv73A4HInQZIZO1/W8O080bOe9wzb1jgyMxuvpQZlzJHpImAhwMkeF8+p1CTSzPSoT9sEVu675mDWmbBWR/VN6TxbdUd0EH873VNIRpxsFVYeMixS8RyVZeLTlcDiMhYWFaDabMT8/X77VQ6Ah+ssx0d8yMlwF4t4gpn24IyQFyi9vayVFSrBWq5VVKs6dgO5gMCgR38uXL0fEiWP00ksvxdHRUWxubka/34+/9Jf+Urz88svxR3/0RwUANRqNWF5eLu3VarXiyDUajUIbGb1utxutVqt870UfhuNHLCcnJ6Pdbo/kj4snXT4cMOm35s+dX5cPD0BkxXUD63pYOa/u85yfzLn1/muccnC5xyYiznwrqt/vl9Ql6Q3XJ57aoX6ID8fGxqLZbMbi4mI5KGNmZqYY7enp6cJPenZpaSkmJiZiZ2cnxsbGyvHWctR5lLucb4HrmZmZGA6Hsbe3F7VaraSe6nhtfbdIaSC0SwSyma3zeeWYMz6jXalygAimq+xCFpTxtll3lb2gvFP/SY/JGez3+yOr0uPj49FsNmNlZSUuXLgQCwsLxfGp1U6Oy/2d3/mdWFtbK3KuTewC6wr0MEBUr9cL7+m0P+k19SMiin4i7zFqrn4fHx9Ho9GIpaWluHjxYjkNq9vtxhtvvBFra2uxvb1d+Pbd73533Lx5s5wWKP1EAM+VeekVrnBwvqRbKQf8W7JJQMpULZ3Iqno4R5RfXWNqIAsBsDtkfJ/221dkHIs5P7nTKj3AwwnYd+kT7jflNc0jg3/UYwTubtd8lY02W7pIKdrCmlzFYz8d9ylQx31DxK6yo45B9dv5Q3XrxDauxlB2JTvUF8TJXKkR3lARfSjrjsXlgGmuyGOPWt72zo+89ojR5TkCZ4+WU9mKoL6fRcyhJUICGkbN3WvWZFK49SzTEigYvtRHhqFjRwPh0T43BpmRYlv628ExFRSZzSOKbrD0v4PSzBC7IuO76gs3nFKpqd+q33PDCQpZNB9Vxl6FKy0umO6Iku7nrS6xLtLf82DJBzQi6rsrqVqtNnIUs/iEbao+Kl+1RbqSBlU8SCMUEbG9vR3r6+tRq9VicXExLl68GPPz8yW1Sx9xlCKTQZTxl8GfmpoqKyfD4XAkHU6GVjR1588dWN1vt9vl0AKeylWvn+yvkFMyMzMT+/v7cfHixdJXRafe+c53xoc+9KG4fft2+abGzZs3Y2dnJzY2NgqPiuf1kUE5OAIqBwcHsb29HVtbW9FsNgvw0rHY9Xo9tre3K1e7aIDpxGs+aOg94OFggM5T5izrGefdrFQ52pwfDy7wHoFzVWFkWbSQYyIAIydbK4pc+aNzKL6jbFK3HxwcFGdUqZTHx8exu7s78o0e7b2QIzI5ORl7e3vFiVFqmkCKjn6fnp4uhxbs7u7G/Px8ObJbsqHAgJyio6OjaLVasby8XJx51cc9fZRPD4aR1qKJ62TKFfWD7mfOlM+nlyqnmfPudbtNlfOi39Ib0uUOvvQB2kajEYuLizE3NxcXLlyI2dnZaLVaZY7W1tZia2sr2u12Wdmr1+vlSHPZI+3JGh8fL9Hm6enpmJycjMXFxVhaWoqvf/3rsbe3F8PhybeitG9SPMi5Gg6HZbVQunBmZiYuX75cgiPaC/bCCy/Ezs5OcYRnZ2fL3rCxsbG4dOlScbaIfURH9Vt8LBpJnjKb4LpUoFlpeAz6+aqGHHLHINz4Lpsj3ua86139KGtA/aCt1Vil3z1AqjHSCYwYdYqIz6qCfmpD98R/omNV/+mIE4sSX8hpUp+5V1Z9jTjFoJQf6TunOccs2mSOmBwnx6GaLx5moLqlV6XfRD/xmOt1YRfqIdp/x5wZlnXHWdc0x8RQ/P0o5RvC+REhxGxUpm6QCRAcGOh5B8cScAoGl7k9ysCNzjREZCLmwWZGggqF99l/gnGCa68roxeNm573/6kI1R6dgUxp+vvubGaeORWA6pKwe2SPio/z9jCPXzQT3SnIvuROWtP5It05nw4YfK79fY+AkfdIu/Hx8ZEvwPs8VDlZ/ncGXDgO0s+BNgEG61P/pFxbrVZsbW3F5ORkyU1XGpqMrwypPkw2OTlZUr+074UphjK6XE3iQQtZcdmXIyVQTAB969ateP/7319OmHnyySdjbW0tDg8P486dO7G/vx/f/M3fHL/8y78ce3t78eKLL8ba2lpsbGxERMS1a9dKqokcN/VPwEBj7vdPvpt0cHBQPl6pdnWd/eZ8ZfOo/7P5Fv3cwXkUw3Ceo1MFgN3R4f3sOQe7Pk5/x4FVBgS4p2E4HJZVRKbFqX8EMwIRlFvNXb1eL8BqOBwW50irO9oHMjExEXNzczE5ORk7OztxcHBQUkPF0/V6vczz3NxcXLx4saTI6RQjpV4qii47MTMzUyLyPI6ZQSICg0zXVvGKBzbcIeX8ZPMtPZQ5vi6j1Dfskzvwak/9l23Xvjo9ozTcubm5WFxcLE6PwNjm5mYcHx/Hn/zJn8TW1lY5at5pMT4+HnNzczEYDMo+x8XFxZifn4/3vOc98U3f9E2xubkZ/+t//a+Ynp6OlZWVsnL3wQ9+MJ599tn4rd/6rXj++edLfdJ5clT0MWet7IiH5ubmol6vx+7ubuzs7MTt27fLPh/RSOlOGu+lS5diYWEhlpeXC6/Ozc2VQ1d8FYRgn7yeObe0T5Q9OZ/cPySAyzY175mM02HR8zrEhDaFKxoq6jN5SFhAfKG+aRzOx9IJ6r+Crc4PpAkdJxUGFCKi2GjJBIMydIYGg9PUQDmePClS/RBNGQDmAQoau57NZFDX5BgTrzJAwrFrnqRHHeepXTrS3D9EHiI2kbOc6Si2y3Y0n3yOvzUm0bkK755X3vbOT8SpARQDcCXIo/FUnlS+BIMePWfdKpzcLHquws1t7umqDyyMrldNOpnLnR8HE64ExPSuoFyANLaMsag4Cf6ptDIAU1XYb1d6ohX7T8eVbfgP39GSsRSkKwGPhJA+Hg3Tz3mRCt2nEiVfZbm6zmNcdVTbVO4+h07Th9GWQMSj4aIplST/Fi1lpJWKNBwOY3t7O7a3t2NmZqZEKxVJl6MjQzQ3N1cM08HBQTQajbLfSJtpdVqajCXT4jx6pTFLedPhZX7z8fFxPHjwIFqtViwuLka/34/Lly/HpUuXYn9/PyIiNjY24p3vfGe8973vjS996UuxtbUV9+/fj5WVlTg8PIxOp1PSYZTWR3lnjrUi/OqHPvimVEE5hOQd59FMhjLjkOkA5xPKlPPMw5wc562s/qo6vF1vk3qF9xnVlR7Uc3Jm1Q/xIlNFmZoiwEUAIdkSKNI86QPKjOYq6lmvn3yMd3x8vKwc6BCEiCipUzqYQE68rtdqpx9gbbfbMTU1FUtLS4X3+fFWpRnRURG/EaAR5Hog8DyQV2W7zpt31ut8SH3nvJDxmeaJ0WzNZb1eLym2KysrMTU1VQ5dkUxpXjY2NmJra6ucGiVgFhElQKF+zM7OxsLCQly4cCGuX78ec3NzsbCwEJcuXYqIiJmZmbh69Wp88YtfjN/7vd8rjohWd/WR5PHx8fje7/3eePzxx+Ozn/1sWamSPVhcXIwrV66UlajhcFg+K6Agi3ST6EMnY2ZmJpaWlmJ+fj5WV1dLwEW8LF5rt9tn0omIa2jTabfO0wXUr+I5f1dzSRlz3qrVaiOpmhxfxOgH56mnGelnIaaSI8oxe7ByMBiUfTMMlHNvoPrt2SSZE6Mxe7BB46DsZXZWuuTo6KjsH6QTIQdKQUemyVF2xNO+YiV8qGAJHUNiGOI1zqXLL38YgBoOhyMnJUacYl7HKlXBdWbkVD1PG693RWfO3Vsp3xDOj4omjOCNJ3f45EacFXwqZBc691j1vkcGxHjcBCcAQyOVORZZBM37RAcpM0L8n+3585ljxOKCzn67p1/FvC6QLFV94vNVTpk7roxs6DlXUnrGhdL5gg6LR5olcFTWAmNqmw6b7nnOL/mIvOCOsfeJYJh84DR1emZzlfEQC4MG3paUt/rjK1CDwclqUKvVKifGyfgIOGgPhOoRaNOeHkXt5Qzpnt7T/zwy2qOZDsBkhIfDYcml/9CHPhR7e3vx5JNPxqVLl2J3dzempqZid3c3HnvssfjgBz8Yzz//fNEnN2/eLPsKnNcUEePejIgoYxkOT1YQaIwODg7O7KlzWaZR5990GkRDPqM58yhaxh8Pc3rO45XznnegxPHob4ICvqf/HXg4ANc+Cx4RrPnSBnXxkK/0Sj4Z0ZTc692xsbGS+tbr9eLg4KDoePFoxOkHgTW/9frJB031jDa067Q27lPlYRqyHfzOi8aldjSvDhDp4LuMOw9Qj/KZjFeqbIvPs/NFBnw416K/TpRUYEAnnOkUNo1pc3MzXn/99SKDOmI+IspK8djYWFldE22kf7R68573vCcef/zxcoqe9mg1Go0y/ueffz5++Zd/Oba2tuKxxx4r415cXCwrcmtra3Hz5s342Mc+FtevX48vfOEL0e1249q1azE/P1/S4Pb39+P27duxt7dXUmQZjFOkXvu8tLqjUyJrtdrI/kgV0ZZ7warmw+eTukTXmBblWRbS+7THdKwo0/qtH99vyh9mGTAwQb6syu4gn/r76jedQsmtHC3Jq4qCHZJ/YgQFSWSnj4+Py8c8feVFz3iKrttz8ZRkmhimajuGaK7go+tT/c6wAu050/IyPJDZEY1FciY9pj4y3U/9JyZXYTYP2/L0b8dJXJXy+X8r5RvG+fElM//JmIMKQhNAgfecamciRhbUBweJmQFyxmf/3UFgkYF0x0P3HID6GKsKhYL1ZDmlPg7+9kgj6ar6sxUVPufCoaK6HwWkEQjotwRN73A+eewn66Niz+jC6InPH/tCAfff6ktGiyzi5Uq2yonJZIH3MjrS2czo64aSvEFaSCFKWfd6vZKaoNQNgZu5ubkSyRSIEchheo/uS6kKzGoVSE6R2iQ4IJ2lkCNOou1vvvlmfOADHyhtXL9+PV566aVySMHrr78e169fj6WlpXjw4EEcHBzE2tpaPPHEEyP0EbhSFJJ7RiKi9FF9r9VOcvj7/f7IHoAMcDpw9cCCz5HzgIOI7D1/3kvGP24Yq8Cvz4GP5bznHURRHmncmQLBfTxKyVF6pQcfZGypDyjT2izf7XZja2urHGwxOztbQK3y3XXKl/TJcHiyB2RlZSU6nU602+0CrrV35/j4+EzaC1cQ5TAtLi6Wk+Bko6S7MsfQ56XKya3iGdpB6ifOh+hMvZE5UhGnulQra6KjaMnj6gmEDw4OYmNjo9Ba+3MUtVc/PNAwNjZWHEntwVtYWCjfWHrmmWfi8ccfj+FwGLu7u8Wp0ErsYDCIZrMZu7u7cXh4GMvLy+U48omJidja2orhcBiLi4vxLd/yLXHz5s04PDyMZ599Ng4ODuJrX/ta3Lt3L55//vnY398vMi8grPGLd2dmZmJxcbEcsa00Num1/f39GAwGI4cZKJ2W+zMIEClzDK7pumwY59VtUYaR3NnJ+I335ZBIt0uuKIPqs1aD1DfOKWU34+Mq/o84/eaMrnlAU7ZM7+vacDgsG+vlJKlt6YlWq1XowtPLxMfMiKHNlIxHnG6VoI3l3hsPcmQBYc2pO4yaA9KY2JbOhmNl0kN/c/7daeZ2BfE8n2edGhvH4vaAwW7yIVeXMtz7KOUbxvlhca+/akJJUDEVlTeFyCfH75Oh2YeI04gFU2J0nZGVhykVesXZSodAI8dYBUz8XZUsz9INmq+kkR5UTJlDmimmDGydB8wEeBxIqbhC51xwJYBCx765Y8I5croyMiTAoMIDHHiP8605rRJ+Gi/d9ygOiztRj7IsXOUgkX5KRZDiYRu1Wq2kdckxFIBQ9EzGTCleY2MnJ2Xt7OyUo351EIBWVARelW/OAxQkr7rO47J1Xe0xEuh8c/fu3dja2oq5ubm4d+9evOMd74iFhYVotVpxcHAQr732Wly/fj3e9a53xcbGRkxOTsb6+nrMzc0VeVbKm4poQR0UcfpBysFgUD5MKGAjEOspF+qn80Q2HsqGOwgZb73V4nrA72Wrg9m7VWNzHnX96mCexp9OAJ2YXq8X3W435Vn+z+iv6hH/9fv9mJ6ejoWFhTg6Oirfh5JjxD0pEacbmZXK2e12i7OvAwzq9XrZ86XUzsnJyWg2m6U/PAGs2WxGq9Uq6W+0VxnYPG+eSEP/2/W98xfrVfqeaCbww9Ol5ODI4eOKWESU9NGdnZ0RoKcjvqlXuVIi/dlut4v+mJ+fj6tXr8bi4mIcHBzESy+9VPYBaSUoIkbmUqCQgJypWHt7e3F4eBhLS0uxuLgYESfHkK+srMTm5mZ0u924detW/M//+T/LiWwRUeRbqznqu/b4aK7n5uZKAIhfrT88PByhr+ZIQR3p2omJiZidnR1ZxRBP6znaYzkBVTox4vQjr5pTOsJV/MR+am4z4Mrr+lt6j3tcKN/U1wx+0Ga7U8KU4+HwdLVdbdPxU/GMDdFG9oi0YsCBfSWd9FupaXxeP9xPzjZEG2IN2X6On4ESnxM5JLomG6n3eTiV6wvWwYAS9YScO+o+9k199vr0P+04+SFbVHB9Tb3gKX+PWt6S8/PpT386fuEXfiFeeOGFmJ6ejm/7tm+Lf/7P/3m8613vKs9853d+Z3z+858fee/v/b2/Fz/3cz9X/r99+3Z88pOfjN/8zd+M2dnZ+MQnPhGf/vSnR7zxRy0EgXQeHKiS6BF5xDzzIB3Usn4aZGduMQDTXTJQo+eljLiqw+f8bx+Tg2jvE/t9Xn0yBtnqAxUTBZLFmZ/Kt8rJoXOi5zyNibyR9T9TzN6O94VOsvdDY8ucDxU6Uu7QcR6ziGjGq+wr+0AjwI+IVqUBsJ8+v1Vg05Udl6Td0Kiwbs6XlCWVm2jAlAoBw+HwZJ8QNy8rDUnvcxM6V3gUJRRQ1D0BDq24yPFg/ycmJuLBgwfx2muvxYc+9KG4d+9e3Lx5M27cuBEvvvhiiczv7OzEzZs342tf+1oxHtvb27G4uJg6F7VaraQC6DSnmZmZODw8jL29vVhYWIjh8CTvX5FDj75xzkjjrLixcb2WzXGVLPrc6rrzSpU+fVi9/n4Vb2V6wetwIz8cnq4IejCKjqU7P0xN9sgpwdJwOCyHG4yPj5d9FjMzM9FsNiMiSpS/2WzGzMzMCCit1Wolrevg4KB8lHJqaqo40Mr/lwOtkwI5/5IvX91kMMXnkXbKnR0VpqowYEHAxxU2yakcHa3c8JAItX98fHLKmtJcJZcexXabRv0s56Df78fCwkI88cQTMTs7W76FIydxfHw8dnZ24r3vfW8sLy+PHK3Pgy/4nRLNr/aKRZw4Sd/8zd8cN27cKB+i3dvbi+3t7fjCF74Qb775Zuzt7UW32y17wxYWFsr8T01NlZXBiYmJ8lmARqNRVncY0OG+P/EkacC0KdlqrW7RfrscEwvRIWE2hJfz8FKVzXc85PeEd3hIhzs05APaSKaEOcZRO+JP14W1Wq2cQBpxuqGfDgGzfTxw5OCc45HcZHadqXGZ00Qn0+2k22o6ZqxLdtAxhPosPUKnkM94EJ30dD5SHeSpWq1WDnZxR6TKJvkckuaZLXDMGhFnMj0ehv+y8pa8jc9//vPxqU99Kr7lW74ljo+P4x/+w38Y3/Vd3xVf//rXi/KPiPg7f+fvxE/+5E+W/7UBNOJkEr/ne74nLl++HF/4whfi3r178fGPfzwmJibip3/6p9/yADhZjAhlgqjiDFYFCPVsxGgKlgsmn8sURNYOPXJGYRyAsw4pr8yr1nu+ec8Vnv/4WF0pOUOqPtbJqMV5zpDPh/df9XnRXHJ+3cFinU57GWw94/srSL9arTZCQ/JJNi9cCVFbbsB9HhlZdnozisN+MQVF7TqQcZpGxBnHOwMXdM5Eb68nA6Hc4EqFT8XLtAUCM25gl+HvdDqxubkZMzMzsbCwUECl8os7nU5xLJTO5HuBRFPdF4jzD7CKD7S68773va/k7z/11FPx8ssvx927d2NpaSnu3bsXly5diqeffjr+4A/+IGZnZyMiyqltg8GgfGNGBklR/YiI2dnZmJ2dje3t7Xjw4EE5CazT6ZSf8xyTzAiTn9xgZfOaGRa+x7YyY0ggy+ssVTLsjgTfz4wh70u+GIyRjMj4KWqsvWWkl3RF9v0Of04rEy5vSstkBFhgVDze7XZH2pcTRkdA/CfnhgEG9oEnm83Pz8fh4WG0Wq3yXRoZe9KG88M5z2juAEpFtNJR3wRGCuLpBEcCZ/Vfaag6VU3zo+AEnTe15atUoke9frIyJt09OTkZly5dKm1853d+Z9y4caPMv5xRfS9pcnIyVldXo9PpxN7eXtmrpXkQ8NQpe9J5Ss/qdDrRaDTiwYMH8cd//Mfx5ptvxvr6euzt7RVnKiLKCs7CwkL5XpdWfHSAwuLiYtEBstECv9JTEaMOD4NIorF4XM695kT3iXkyO8/VEB4EQd1C265+uGPD1DvyFeuqcpTU5ww7ZTJOHUA+9nFqD54fjKLnecoaHXqlKDtAp1NOzCXdIIeGsuPPubPhmJEOj4r6x2AhcQVtqHiJWIw0cgcr0wcch+O38/CtB25FE+lGpWzqGfII+Yg08TFSr/C+5pmBLa/7Ucpbcn5+5Vd+ZeT//+f/+X/i4sWL8Yd/+IfxHd/xHeW6zq3Pyq/92q/F17/+9fiN3/iNuHTpUrz//e+Pf/pP/2n86I/+aPyTf/JPRj5K+CiFEQMyML1t92A9KpWBCkYNPeLqq0CuZCh0ZBaPFngUxgFtVR8ZmXBQ4o6d57ZWGUYWMR+dDb1zXtRFY1FbVLa6522zP/485yFTqO4IuRJ2QMn3CBJ9HA6MON8UQI7Lx6M51nvOY5pzRkuY0uIAknztqSOeTsdIiLed8Sb5V+N25e4yxLnk+B0UqX+6RoPLOeac8DsmWg3Sz3A4LEdL0+ERoKha+VGKGVeJpEDv3LkT9+7di5WVlXjzzTfj+vXr8fjjj8fa2lr0er3Y2dmJ5eXleM973hO3bt0qx1VrI7wAr+ihjdURUVZ69CHYTqcTDx48iAsXLhSjrU365DvKNWlNkKN35Pw5KOG7/r/zvDtJWRDCHaOMN7Ln3NnKDKzz5XA4HNnAzXGKN/SjOpkCwqhorVYrqxLdbvdMpFb9ZTBCelMrFQLj3GwuWsoYc6VEqyEREZ1OJ2ZmZsrKg/pJefDrql+gTqcKHhwcjPRVffC9paQ/nReOm0BUf3MvBnWx2mi327G7uxsRp3JNPel6lnqYYJaAVu0rTU6rJjokZXZ2tqzc3L59O27cuBFXrlwpskOac6/F7u5u0QWaJznN+rbYxsZGtFqt8s2yzc3N4uSofq766SACObBMVyMo1vHlukcez1KuRE/KBdPyGCQgNnEb59epRwhYM1usejJ7woChOyduJzz1Ts9oxYV4je+xz8yEof13u+5j5AoJx8x+0G5qD5Y7B3yPesR1H+2d33P6VOllxzMcv+NB0iEiCl7WO6rDnVYP/rCPjjc0N3qfmIcYge+JNgx2UJepj5kzyQOPHNs4Vlf/iEHOW8E8r/xv7fmRElxeXh65/p/+03+K//gf/2Ncvnw5/spf+Svxj/7RPyqrP7/7u78b733ve8txkhERH/3oR+OTn/xkfO1rX4sPfOADZ9rRhmmVvb298jcZwvM8RWhOIIuDXxWCR17jew5E/NmMqbxIuGkkXAl4IVAhg2YKJSJPI/BxuFBmEQIaD1dS/q4rGNKT/WXkk45H1j8BCaef3mVkQobYaSEac15oWBys+VjcSSBtfH70vIP+jP7sP/vI/vlcUjFWgQ32yev3+shTpKsXp5dAkT/D8TFyr0LgmM2RAN7u7m45fU1HZ+s4YaXGEXQxjYHAToCD+zMkf71eL1544YX4zu/8ztje3i7pb5ubmzE2NlZWo55++un40Ic+FL/3e78XR0dHMTs7G7VaLbrdbiwuLka9Xi/pL0plOjo6inv37kW9Xo/Z2dmo1+uxs7MTg8EglpaWRlLyfJ4zfiPvZLqL9x927TzdlD3rYMadpfPSMCPOHnjCsZH3aGDVLg/AoK7Tu3J2BT59lVi2QVHJiNPNxxovwTEdrHq9Hp1Op5zspG/CKG2KADfi7CZgHa/L1BrXNXLe6RhQZ/D7PpI5OQekKVPQuCLNVQICRIF7pV6Sr+hQaf7IH64/yBsOuKXn5IQqDUxyIsdCp7pphYM6bmNjI+r1evnOjoIGekf7sxhBFm2012pnZ6f8bG5uxv3798u3meiAat6np6dLf9VPpvfxRFfRgIFNBbRcDpw+pLvrAuIXfqeG4+QcZCBdfEn8kD3rMq1nvJ5MN+l/rr7Q3lAnO0/JxmeOlPiQoN95jW2yDsq/6tR7mmet9p2H1zI8p3nhd47IO3TEOd/Eq+wT7Tg/jcA5oI7UdeIy7vsiT/pKmssWx8jn6IiRDx1Pu61lqRqnaMN51Rgy3KP7xBUM1mR28rzyp3Z+BoNB/P2///fj27/92+M973lPuf43/sbfiMcffzyuXr0aX/nKV+JHf/RH48UXX4xf+IVfiIiItbW1EccnIsr/2izo5dOf/nT8xE/8RHrPATfBGUuVQ+GCmzE/AbAYPHu+yhiwODDnKSYOSs+rP2I0/1SMmnnbatcNVAbgyYju6Hi7EaPRP0+507PspzsGet9zRakgsyVfXVd7UmJVvEABdIfGAbg7A2w74y8aAweITkPRTLTRb7bjPK02VAdXi/iOz633R/f0m7yjut255jt8j4ZPtFcdDv7U/yo+I93VHylSGid9FLJer5d9NAJQoqsAooCplt9FM8mfTttSCt2rr74azz77bExNTcWrr74aH/7wh2N2djYODw9jbm4uWq1WHB0dxUc+8pHY29uLl156KTqdTvlOkeitNCelUmiD8Z07d2JxcbFEnOUMtVqtGA6H5eSmDJScp0tcZzyskL8cNGVywEKZyQBXVXv8m8aL9VBmI2LEgSUdjo6Ozjw7GJyc5iZA6s4RdYEcG4FuOiXiH355PSLKvi09o6PYeQqUwJv6Q+BAnlbfeGonV6JoW7Sap2vj4+Nx4cKFcnwy5YdZCuJxpoNSTzP9k3vhCH6q5oZOKp8n2BPQ0veWlCqndDodA58BLQYwhsPhyMeDu91uXLx4Ma5evVpWb+r1kxW+drsde3t7ZcVmamqqpMHt7e3F7u5u+d3pdEoaFJ0yOTrqf+bgKH1X/zPgSjqIVzPQzAi9y12GU8RHDvYEMmmvKZ+US7dzVViAwJY6yB0ayrNjDwf6Xh8DEeSXDOyqzw7WM4dMcsB3pEdoh2jHNQ90tvVb/SNdqVtIP86tYysFKCg3dNjULwboqlbWKIfsE+eYttUDo95nyjj1kO550L8K/7ouoKNNZ8sxgOafGV/kr2yeVZ/0OVfB9d6jlD+18/OpT30q/viP/zh++7d/e+T63/27f7f8/d73vjeuXLkSf/7P//l45ZVX4h3veMefqq0f+7Efix/5kR8p/+/t7cWNGzfK/w7oyHwkJEsGFh1M0kir+MRnzgkngcxDplWRAnMF6XWrSCj5v4OKbLxVAuPMyL5kfcqcKUa+HBC5s0CHghEOGWnvi94TndwZy5Q6QQ9TK6qWRx8GHFW/IlN0Nun4ZH2XkiMfuJNIRVGl1DPgSB6ls8BnPRp/Xv3Oc5lzkvGLxuhOE+ntDh6vsW8aC6N9rEtzsb+/X8CN9tcI0MoJUYqSwKyixVqdUZ8bjUbs7u7Giy++GB/5yEfi3r178eDBg7h69Wp8/etfj5WVlbLKNDU1Fd/yLd8SBwcHcefOnTg8PIxms1noLwCsdBi1c3R0FHt7ezEYDMrqwcTERNkETuVfJff+20Gog5gqnZcZOMqqz3PWF/bDdY7/XyXTrJ/6xNtXqhfzvKUPBAi1usiPgfoKixwngRE5IDwBy+VAG+Dl8CgVj6lQclypyymHukY9JTqLbyJiZAWQ19RHrdBoH5y+HSOHjt9foX4gmMtAresr3fNvo5DH6dzQSdA1yZwDdukjAWCBGNJG7VIXaA/P9evXY2JiIvb29soBETs7O7GxsVE+Wnx0dPIhWTk5tB2i7fT0dFnBIb/wwAbSS3QVD4lnvV4BMn/GbSl1IeXAeYQAnZF3tevOiPjG63a96zgnW7V15yaTK97zACsBON/RbzrqTh/nR9rdqoAinUkGGjgWvcvUPgFwPZ/Zcjodui9eYL8zXay9ZhGnwW6nHeXVbeJ5YF7y4U6J+l6FB73fxCKOmUV7/e8ptlxl53uuxzV/mnOmnvOUSAU8vc+OdWXPM2f4Ucqfyvn5wR/8wfjsZz8bv/VbvxXXr18/99mPfOQjERHx8ssvxzve8Y64fPly/P7v//7IM/fv34+IqNwnpG8dZMWJ4UtsBFiZ8s8AvVYxqEAo7BnT8G+fCAe5rJvM5ozO91gvFTKfr9VqZyIPrkAcoLJOj/y6gKi4Q8f+aIw+P1QIFHpueuN7HnHwcbMORQ4y5cVCB431cn5deXjUh0paUUpGrjgv7Kfap+Ljagj7zbnh8z4WzqdHGJ3/PSqYOVWcdwEXFlfMfJ7v6X86iRFno4fOK5ncZM6b5nw4HJbNyRFR9gkoRU4fR+TeHwEIRdW5KfvWrVtx8+bNmJmZieeffz4+/OEPR7PZjI2NjXj3u98dw+GwpOBdvny57AmKiLLipHFqjwKP91XetaL3vV6v5JxzzkjDqjkSHfWsRwSrSibPmbHKeCIzMq5PWV/WVjYuL1mEku95qrDLIPtPAO3GXHUQfPFd0lT3uSIhvpERZ+oadUcGDsW/PBDE00DYrsawtrZWVrm63W7hqYizewwkw5lu0/NZBFw2qupHtJYT5HPq4JZ9dBrwh/0jCFJfB4NB3L59O55//vlot9uxtbUV29vbJWVNaXCqR/OqFFkH/+QZ6QXOIWnnwSkGvVxPMvVOzxJTkC8owz5H2TXuZc6K2ymXMV8hYRvZ6j3tmPrNTAzWxTkXzbL+Ufa4/8mxGPmZgccqPUlnSvwjnvU9S6QFAxdOe86z0zULDnpAitiUdk/8SMyqwtUwr9fHTR7yenzVPEv947zwnvON05pzxDG7Tc8cKepvBW5qtdpIMIXvZoUpklmw6VHKW3J+hsNh/NAP/VD84i/+Ynzuc58rH/o7r3z5y1+OiIgrV65ERMRzzz0XP/VTPxXr6+vl3P1f//Vfj/n5+XjmmWfeSnciojpqzwmoAgUZaMuAsZeHXXNlxvbcmcreqxIwGtGIUafIIx0ZkFYdNEAO6B9lnFxRkbLhyR78TQFn9FD3dD8zIh7RonNBJasxqV8USI+EsrCPmXDrf0VdqSRJHxkkKpuI0/Q2LrurXbXp+bHevhvf7Bn1xUEGxyiFy/kh7bPIe9YW5UpRcdVP/iWIZLQuG5PPI9tzXnHHiRE77g1UwET7IhTRFS8KMHFT/b179+LrX/96fNu3fVvs7OzEG2+8EU899VT89m//drz88stx+fLlqNfrJZWmXj89Plnf29AxyFr10T2luq2ursZjjz0WExMTsbGxUeZF480Mu4N50sqvZUaMfMI2MmPGd1gI5v36oxodD4p4IV/I0RgbGyvfx8kce73nBz5Qn4tX5Lh4n7Jr4inxiOsVHonNvTQRMcKTki89w/cygEo90e/3yxG9XFXi0bxKr/SAlPqgVZQqh0bODj8wyr5JL5OW6itXyiLO2iOtxql9/mjMDgIpx1rBUZBAR4t3u90R+SftFExTP5mVoHnwlXfqJB1mQT3pzl0mi6KPVhO5EkE+c1q5TDl2oI5kP8kzdHLptIk2WTCO9PB6mf6U4RPSgCsorDd738egOfNr2ftOJwfGzK6Q3HEcVfPJsVGf0kmj8+J7XlzPDIej32KizVQ95BPXPc5rWV99vw31IHUQ03dVF1dBpdOdtuRRBrx8PO6MEQtoTrLn2KanrHF/URbwJW2cXm+1vCXn51Of+lR85jOfiV/6pV+Kubm5skdHX05+5ZVX4jOf+Uz85b/8l2NlZSW+8pWvxA//8A/Hd3zHd8T73ve+iIj4ru/6rnjmmWfiB37gB+JnfuZnYm1tLX78x388PvWpT1Wu7pxXHnXwDnSriOeKP2uPP1mholFhygYjFA7OuWzt7ZDB/JmIPGKq/niea/ac/s+AUwbEGD2iofN6ZQwI9DJQpme9DwTFWfRJyoRzp3Ke0+Bts18sNLKeF5tFOUhnRkJo5NVOtk8qq9v5jTzKnH7SjEpRtHL+cUOtOqj4qvjc91F5PxmBI9/QWLO/7iSxH84DBKK8pvqOj4+j1+uVD1Lqy+7ab8A0qX7/5GOB8/Pz8frrr8fNmzfjypUr8eqrr8YHPvCBePzxx+OP/uiPyjc19vb2Yn9/v9TR7/ej2WyW741ozxH380Wc6MkbN25Es9kc+bAj58flosqJcdo4SMmu0Ug7f/kcsk1dc2PMOquK3/N+sV6NRyt3SukSL1OmCIoE7FUHrztY03Xpo6povBt6nuIlp6jf75cjoSnXjDbTESCYZTseNVcdOj6dK5d0tHT4A2ngPzqMgYEhpqlkutbnigGaKrDKe2qbef6kmQCPZFTH3Ot0NX6weDg8XdkTn+jQB865AzmmO7sNcNucyQuBtPO+9KaKp1zpN8Eedb+CIup7Bsgzvcv+ce5cJ/jf7gBQTlwXZ215X3wVgpvsuWqhuZbNzJwK7z/lgXRxPeLgWHOi57jHTX3mfDitMyeA7bBeOpV8jtddL/v9LB2UckZ6ZraPfZU80S76vjIfD+nqmEbPkT4ZtmJ6mvOx95lt+hh8tcgLZYVFAZvMUXqU8pacn5/92Z+NiJMPmbL8+3//7+Nv/s2/GZOTk/Ebv/Eb8a/+1b+KdrsdN27ciI997GPx4z/+4+XZsbGx+OxnPxuf/OQn47nnnotmsxmf+MQnRr4L9FYKlXcm+BGjioKlygmigicjO1hzwKWfbHnRjR0Zg8bHvWS9T4Dk112J8HkKrkf/2VeOJRuTA2caHCkeXzpWn6iYSFPODxUzaee5n+wD6caxqj06m5yLKkGnoeOPPj5XBUzp+Kltf0ZjJr099SAiyv4BB/ycXwcgjA4SbDACU6uNHmGaOVPqp/NAlpefgR+nKwGI6qYceOEYBHwy5ybi9KQuB5MsAhn9fj9arVZ0u92yH0GpMDJCExMTcfHixXj99dfja1/7WjnI4MUXX4zHHnssLl++HG+++WaJxMtp0VwtLi7G1atX4+rVqzE9PR3dbjeuX78erVYrtra2otFoxNWrV+PChQsREbGzs1O+SUL9kDkh+tvlXAZTKZ8yeA7kMjq7E+P3fW7dKXgYWMruOcjMxqR7k5OTsbS0VIAx05EiRldXtOKpFEOPXFNf6xqdcvXFaUdZ1gqJ2uZeGQEiPyiBThmvESwwADYYDEoqmcA97Y+A86VLl8qJhxExkn7GPsvOVKXQeISVssaVLgJayrJkgcG8fr8fnU4nBoOTj/cqLfDw8LCs4PDjpgLHHKdoX6vVRlakXHcQ8DmPEgQy6OY6mONxp9f1iTuqpDkBHHmUMiA+9xQsvks76bbBacNAYoZ9aFPdpjsveBuZo5DpbOftDNhmTgAdwkwvuAPkPEodJHtB/uFY+F7E6Kch2AbtqmMA8gZpkwXgJLf8fpT6w71uesf5jHTInLhabXT/I2WZtGW/HC/QhqhN8ij7rN9ut2nfOc9uy6rkifhRxWXb+6l2pXOJ7c+zeVl5y2lv55UbN27E5z//+YfW8/jjj8d/+2//7a00XVmqjLjnAGaTqeuM0nCyVL8zEuvTM85YLhR8R/97TibBN5W4OxMcr086GbhqvlQHIzYqpIXX70rSlTz760rUwQ0F0h0X9pMANhsH6e7ASGP0elmogKvo5F9S91xwjyrRMGXOGutmnz1CkvVF9RBA6T75KhuXA7OH/U3lm/F4NicsBIcO8J0WrmQJBrxOKU2COILXjKdljJQW12q1yglUSlFrNptx8eLFeOONN+K1116Lp59+Oh48eBC1Wi0ef/zx2N3dje3t7fLdEDlAnU4npqam4p3vfGc0Go1oNBqxuroaf+7P/bmYmpqKP/zDP4zV1dW4evVq1Ov1sldBYNeNK8eaORKcD42fhtujldl7pHmVbDzK3HI+3chm81ulrykHh4eHsbm5WY4+1jeTDg4OSiCCIIu8ztUX6hXVTZplzzl4oL5SPx30cvXWAwWkhxtpOUwRp6fbCexzdYR1Tk5OxoULF8p+Mqb7ZfstBAx9PvgMnSX9KKDDdGYerKC0NMkUv6Gl47OlexnMIU+TF91JdKDv8+Bg3gG+Ay3qVf/tuj+TB4EtOlLeT7dhDtyr0pXINyyu+3jNZU5j1P+aQ9GCqy96ljzOvmi8ETGyOqEouzsIpKPTnqvs1BnU0QwAE6dVgWPq+EznOWZSGx5A433/O3uGTgYDDgzYMa2ShU6b5sUPcSI9uHoqGSR/iT5jY6cnpVGviEbUD05j6h/NmzsxPics5CnHr8Phafqfp5pST2UrW2zP9RJ/iE9cJz9K+d/6zs//SYWTQLAVcXY5n+9QwWSOiJ6hcaGBpPLjBGQARHWLmek0VI3H+0/m8qhNVSGzUDF4ChqF242M7nvxqCKfUz+rQLg7PxmYdoPBMXBcLrie3vWw4sCEffV9Jw4kCZYyo8sfjYl08uhj5viSXupLFd9UOQ5V/MJrpKna4T3SxUsGIsirXlfWfxpC50vVKWNKByiTEdcDql/vKNVmf3+/pMapnhdeeCFmZ2djaWkp7t+/X1aG9H2giCggdX9/PzY3N2NzczPm5uZifX293D88PIwnn3wyrl27FmNjY7GxsREbGxtlz5B4N3MQMvpQtmQ4Dg4OyqljTgefH70XMRoBdVDqBtDnuApIenkU2ct4WSebHR4eFgdofn4+Go1G7O/vl7RCbXxlsEt8qm/j8HACjyiSnll0PItYeqEtIPDkmBhEyHicwQ+BIp0SRcAzPT1d6tUeJt+HyLExxYq2jGOT0yL7Jofr6Oio7I3jPjnJD5+n3vK+8KdK7h2YZ/dZb8YzWdt8XmNmW5wDL7zuMkIbSfBGMMfvSPlKBn+ykulggj2nmfeT/+s99Y88mPVL1zM7zsBURi/yovOc2zKnc62WnxqatUfAHTHqUJG2lC+1xTl0GrvOI09zxUbOcOb4cY74P/mf2SLEA16PHCH1l33TfCi1VSnceuZhK0wMqujHsQrHRto4ncQzlAkFGjk31AleDzG2X/eAg1JheWBGlRxXlbe980MBITPzexAqj2KwXejcqckEIwOIzhxsyxVg9gyvZUCU/eQ9ryOLQDpTudNC5cD/+aFRB//sE4FuBsDYVhaporJlzn/VeFg8+ikFVXWwAAWLIJ0/jORwvgm2CFDUdz4nxa7xugHnXGYRv8yxcD5m9JuR7cyRreJNKj5XmDQ0fC+TJwcczrtVRX2ksvRIEPtNx1GFgC/rg4P+fr9fItn9fj+mp6djb28vvvzlL8dzzz0Xc3Nz8eqrr8bKykrMzc3F/v5+TE9Pj/Daa6+9Fr/yK78S73nPe+LChQvx+uuvx8bGRjSbzVhdXY3JycnY2dmJvb292NraisPDwwJkH0VpU9bo2Cvyzg9eVvGK85y3XWWYnOZ8n3Vkq4QsbnwpY4xqyuDLyGnje6PRiOnp6VhaWirOqzbE63ALOZzD4XDkY6YEfA7+CGw9kJPpfY8g+9fT3SEnaM10ub9bq50e4CE6CEBoz5qeV8ojac7Am97jgS2+ekPe5zPqh8bBI3XVDovbS59vtxesO9NNmTNTBfwf1Zlx8O6OiPM3dbjrRerdrP8MJup9pRCKJxwLeGSb41K6jzslbFPtyPHyyLpAO0/tc9kjXdxGVdkN8jXBrsaiNlk36eJ4iXWSzqI701b1fob1XJ5ZPP3NC3mTtFJ7vurAsXsg2fWB+iZcwD7w2zVql3sTibMGg0H5ZhWDGZ7OlgXmB4NBOW3Ubb14lPrZgxvueLrDrP2RnCOO2wNRbC9zpvzQG9L3T1Pe9s4PJ1TLayIeVyUiqo9P1v+cZF0j41Oh08i7Q8R+VQFDlvMcFxdoXxWQELqwe4QtAzYZXdyA8VkHSmR+0YnKOSLOREfUZzcWZGQ9r/poJDhH7pzV6/WRNCIq4Yz27jTomgMJn2PPtaVSc4Pggsz7pAGjaqxH3yChAvH5Yj85zmwzYpU88D3+ZLRTP3iSFPtN48A5Ul9k+D2dkLLmaauZM6R6MwdI9Q0GgzPRRO6lYJ/1/vj4eMzOzsbOzk589atfjfe85z1l1UbjbjabcXR0FHNzc7GzsxO7u7vRbrdjd3e3ODtLS0uxurpa9hvt7u7G+vp6tNvtkQ9iespLpld4j+OWoWMUz+fQedtl4jw+0N8CHOc94/ecH6v4iX9r3ARvEVH2bbXb7Ziamoq5ublYXFyMmZmZsoK3tbUVw+Ew5ubmYmZmZmSlZzAYjDhDsg8OcKtSOWm8q/YpZLYk4mxaD/VGpjPUJ6VlMm1kdXW17PWhs+LOjVLR9J0bOjf68T6R/uybUvHGx8fLalMGmKvAaxVgdv6hLnOg6LbxPOfHae51+JxV6WXXKw4Sncc1J9SxmROjOlWXy5XbIPaF77MPDgp9HtV3yYRWRZW+pfnkUdpV+CUbj+qXDGUrsR4AcGyQ6e+IKCejsQ2OTTjBnf6MJsRxxBaZ46S6ND/ucPn76hODj8Klnubntp8rcpL5iCiBCupC8na9fnqKpfqmb9+IHmpL/dfY6LyJTj5e0YPvOt9ndt5tBmlOzET+dfnXmGWzqKMyzMr2H6W87Z0fFY9Y6BoNHIFZVshQvJYB7QwcUDm6csgMvQOCTEFWteljzYQr64MrLtLF6/QIE/O/SQ9PHcwUfjZO/vYVGxcG77/Tk0A2iwQQfHvJlqU1fgmhgwP2wZfbneYsBBqko0eWxLuMmBE4EYCRjhpDlldMRcd+Klr0MH5UycCJrmeAJwOV7qjyWc5zFQ+5A+T0Yzt8h/NGR6BWG10dVK762tpajI+Px2OPPRZjY2PR7XYLQBDIPjo6ina7XcZZq9Wi0WjErVu3otvtxv7+fnQ6nXjw4EGsra1Fv39yUpevDroOcyBDZ55zrflQKkBWMrlmbrjTPytV985757zifOu6TOM6PDyMycnJsqITcbqa02g0YnFxMcbGxqLX68Xe3l50u93Y3t4uY1ROvMCKAKfkQ7R3h4a6n2A/c25o0KkrOKdyICQnlG/NI/s6MTFRIrNjYyffidrd3Y0HDx4U50bzzrFl6S6u9xxcZIBd7/HL8wJHohflqcpZcRnO7Brfr+ILB/lVgNz1EOuhjXc7qXtu7x0EOo7I9L73y4NDqt+j/g8rzNRwGml8XGFxPhVP0QH2tCunu+Mhtq3C4F22ohQx+o2ier0+4rC4Y8mAc0ZjB8/8zIP66LydrUJ4eirH5uP29H3OqztexEp0BKracsdJ19WmAhzkVdkG0jvidDU408lsy2WINkb6ynUU3yUdqdNYl0pVgETzwmAX54tOqzuoSs3lN9wyfFdV3vbOj4jM6Fc2wa6kI84KFD1qPsP/SWQndJWycMeiikFcqRJM6f8qJqJSpAHPHAE9r2czx4COjwrTLfjb26JQZcAoM26sh0BCdfjhEKyH/c1WBURX0onPaVxOi6qx8b4b52zMDmbdAVI/eT8iRpa6yTcch68aUImqDtKzylAresZ7BDkeHY44Bak8eU19cPr5vDGS5ZEgjxCqLxltCSRYd5V8ZvIoAMBN5hERjUYjjo+P45VXXonBYBA3b94s0dNWqxVzc3NxfHwcS0tLERHlVLJOpxOtViu2t7dja2sr+v1+7O3txZ07d6Lb7cbU1NRIHzWXVSCPv8l3NKrD4bCcZufz64bc58N5OwM4tdqpc5jpTfXN668CwVk/XP4johz5fHx8PHISmgDcwcFBtFqt4gRdvHgxjo+Po9PplG/CyIEg+NSqI3mQdoN9c6DBKHS9Xi9HL4unBRp4UllV7j37Uq/XSwqaDg04ODgYCeApEsz2HGRyjtRvpu5mAIbjdr3m96tso8+z9An5z3W260Y6JC4T7Fu2Qufjp77zQFpVgDBrS4VgOgu2epEu4x7FrJ8O8vUu8UQmR1WgkOOkXdSGfNqSTE86fc6zG+oreYl00rjFgzwEQ0X2l89mOotyqLG6LWX/JYtyHgjkda1qFSKzuwww8Dl3qjiH7mA69nNeclqyHa7wu15iPQyIsT0GTMkvTk+fnwxvRcQZhzNz7lQfg6vu2Dpu0DWXc+IfjlFzVKWPqsrb3vlxL5HpH/wwnBt4GobM6LkB4HU3NCoSJp6gQYDhwinmp/C5A5b1wY0Q68yAhPrN31x+pLCfB4Cchqw/YlQYVOjJZ8bM22D7FAZ3arzw6NmsDtblxa8zCiWBE4gRjzGKdV60Xf3hb4I78SuXz9W2f1/DjxJ3ZefjkdJhf9y4Esg5DTPZoEHkR0NVHFBxTN43gqMqpZn12+moeWJ/9Z47DS6PVPSSARlpgdbJycl4/fXXo9frxdWrV4uzsba2FoPByTHX7XY7lpeXY2dnJxYWFmJraysePHgQ3W43Op1OvPrqq7G3txfT09Nl3mkAXeayawIQ7DfBgECz8x6NI1cSqSuz4nT3b1Kp7szYVAHlqvucL6YpUs4ke5ojpYQOBqf7f+r1ejSbzVheXo75+flotVrR6XTi8PCwrBwRzIh3JicnR05wcgdHRSkpvKece/GgnBZdl4NDncsgCFef+D0hbRjW9YmJiZFv3rAwUOGr6FU6vUq2Mz1BMEjQUVVEZ9XvjpDzXRaQYP1uO6iHnI/0f+Y0cIy8rt8E7pleos6tiuS7g8vCcTsA1ns+J04DB+gsnnquOjmfBMROgyxV+mGyS8DMVScVjpGHsnDlh2PSPQe+Gq/sr+qlPFKf8/t3eo/1OjZiX6kDnB/ZR9kJ1qfDZ0h33icdfU9zVuiwEsfobwVKdPCB+qX5d5soOlYF76ln1UdiD5cr8oMHb/U/73EMskd0vISHGDDQu6STrxI9qtNT6PqWnv4/sDhTunKlU6TiCohROQp7lorFH88Z1/PuBGTg39OMssnNFGumsJwWzoQEPnpOP1XKnRFFZyo3kIz4EPyKJtyz4/1W3zwXVM/5xwvd4LnAVuXse1pgJrzsmzsuPFXE50nKi331fpA3yZcu4KK90l+cT7zfrnhZv/NCZrCznGe146l1vqrgMkBHRM4a54f9c+DlhpTtepv63+XPAZS34X1Wf/w9jcGdy+3t7Wi323Ht2rWYm5uLRqMR9Xo92u12HBwcxM7OTrz88stx+/bt4og8ePAg7t27F9vb2yPAkWknNEI0OPpfYxOAdJ1GGnPM/NF4ZMiq5NF5Vf+7sXSanweGqfNcd3D++KzzvMbGQIOPv1Y7SX958OBB7O7uRqPRiGazGYuLizEYDM6swoi+ntLh0U8eEtDtdssz3GdDQOfyPzk5WalHSU++I1BFnSAaeNCO8+C01bjOAwesh7qAznEWPGR7rgOkE8lnDt75vvNaphtog90BdLuZBaQe5jRQJziWcD4VfQjeWLJMhUz/kmecXhH5sdDqF3nCcUWmd133kXdJe9GD+zw8K8Dp6XTT/4z8c28Lae66SnWrXe+bbBHngwf7+Cqnz5lOLPS+Oq9qr43o6AG5er1+5php8rU7me7sql7OV4ah6ERp7KKd9BmPnR8OTz+03Ov1zuAL0sRliCvbmhsGiTgn6i/p5qncbMfln7SmHIlf6CipLrVH5+xPW972zk+mnF2g9duVCsENn6ECcLCtdzOAlqVUsdAQOfAQ0/FdNxI+7owWDhgyT5vPOF3UTwoKHRnvmwMsCvKjgBr9MFpCJ0bzQUeU/WShotf/ao/RSvKM6ETFxGceFh2hA0I+cT6oojPbUv/owGizpHjmPNDKMWcRROdlV65uxOjw8X3xVaPRGIkyZYaW1+mQe/8z2mTvVD3vPOUgmfLgAMNpHREjOkT1DgaD6Ha78fLLL8fKykosLy/HhQsXyt6fsbGxaLVa0e/3Y2trK9bW1mJnZycODw9HDLYbUf52+TkPuFLuJEN0OCmfKu5o6drDnE0Hl9SdeoYAKdORrMMNsYNvrlBpDs8rg8HJivvU1FTRo51OJzqdTvkgqPZxsb2I09OV/NAAN+SUQa5q+IqY5po6kn+7o5I5E9nfVXYlAzMPsxdV/7NP1El8RuP305dYF22y87bzVxb1JhByR8gBWxW9srHpHbf5rKuK3wmuiTO4Id+dmypswWsEnD6+zG6Qh7KxcDxeRwakMzvhmCoi3xvrwNcLMZEH+5y3Wb/owe9guUPGvpG2DF5Rb7MfLBynYyjVl+E95wcfv9NV16Sj1UfqQsdYat/rcxwjWok2mRPt9NJ1tUkMSl2nj0fzfQbTuHjA/cl+4rIHGoltvHiwhTR1LERefSvlbe/8OEBwBpFCosA5mKByEAOSuA5GqKSqwEtmFPj/eQrJC5Uao/FeF4F4xFlwo2il7mWKlfTJok7ZWPSsRwGqGJcMzxUCvscIVrYK5QpUS6y8p7l0h1M08cixrmfRUjcYzF1WDj6VZ/Yu5433XKF7RCMziHSQ2H86cXyWvKM2fH69be4Xcpmp10/Tffi1aX4jxPvJsTgQcF5lP9zgOM/SsFJGVeiUe0SYAItyzzRDFZ6str29Hdvb23H37t2yAqTTsHq9XknDijhNlRJfcx587jhejo19JS9yvBn4I03ohFJXZIab/fE63egSxOm+B1l8fK4XvXj/p6amRnhAfeYHNiNO9ZqO/daPvuXEgBZp6zZEcl5lhHmNDif7z746TR+1SHayuchsRUbD7P8q54C04TXey2ye99l5kXPP31V2z3WNrrkNcH3gDoDXndk9v5Y5MN5WrVYb+fSDO0fqr2Shar4YVMpsmzshDs4pez5XLPo/C2hVpW27g8UgGesneKZukz6VfdN1D8A4JiP/0ankarnuOWCnrnO6cSyUz6yQ9rKdHB8BePYZDfKvr6DpPnWO63m17TzPuaHuoQNNnaP+ef2cQ8dLXkR/zilxF4N6ogtXJUkTvctvF/nccZ4mJiZienp6ZIWLmVUuO2+lfEM4P56e40qaAqPiCoDFI5QuKARz/h6vuyOk4gzxsMlzRnWh8QhPFcBWe16vK1SOh7Twd3ndjTz77MqaxenI5VwqQ+YKU9hZj5QUhZx9ZKTF9zxl46r6X3SR4hEAc5qKdt7PTBGxfucHGmN36FSo0Bl1dqeCOcakMyNv+n9qaioiTg80cDrQCcyAAw2t+pj1l3PkNCfYoKx6tL2Kvl7cCDnvM1hCGspA9/sn31oZDk823W9tbZXxiLe4EqMxc84yZ1ZjYV/8/3q9XpxKAh4arfN0S5UOzPrjbfv7VXLhoIF6y4Eu32Ebep+no5HGdLR7vV7JeY+I8iFOtuFOj34Iplye9K7zUqZb/R2nsbfLZzIdVEXnTF5cRz9Ml3gbfF/vuhNIXSt6KO3E63M5raLNeXLPflOfOh9WOT+65zTLeFAl49eMj0UD3nc6+nfhvG2mxNEuq15iE+rTwWBw5oPbGX3YNh0O6STxPbED55fywH4yqk9aMJjizjp1k9tB0pL1s33SOuI0BVW8r9UOx2xcmeU42aboU8WvbN8zCbIVi8xpVhvU2wwqMmWW9an/VUEtPV91wI1fczsg3uGhStSHGjPnz/c987h0rfT4fDnNpE90+IbzletbBbb4rNL5RNvz7P155W3v/DhjVCm3zIDJuLlSpMKoAu5uUFSX7mlCXHll77Hd8wBGRIxs8nUQzTY8L5NjyIwhgbLTS+953q/TOgN2+p/Ahf1hyUCFBC0DTOwjQQz7rOe4KdJTDDPn2AEFlR2flQL2NgkCPQfZna8s6qHi6R9aOaCCd1qojlrt9IQud25orNh3loODgxHw4+BDNHW6qH7/vg5BXlV/6fSSDwhYaSj8Wc3Fw0CtDJDPvc+dp+5FRHS73ZiYmCjfYdF7g8HpiUpOC/advOCFCj2TBb6nfpKfslO9VKfrL28j6w+Lzw159jyH3kEanaSq6+RN8h7/npiYiEajMcLnR0dHZ75tw+gtwQZp4PqOdGZaB+lO0ODg3PXgefNJGnnJ9Bnro053J4bvV5XM8ahyIHx8mc7wOnjtYf9njnAVuPe/fewcg/NX1mc6MwRwma3ygBL1Njf8UxZJF6c5+0WngDRQccfCx8OP3nob+i3w6TbIbZ7X7QFOp4fvH830Luvm9SzQKnmlM8hVdOrVDN9Rd3vwyXmCAUPq4Aw7qM8C9O70eJFToHYZFMv0Lvkhsz/sG4OudKTpHJE/1Z47I1nAmCtGSlFzXhsOh+UgGfG/nun1esVhEe1c31LXs98am/dB9WubRLYP+WE6T+UbwvnxCElEFFCiZ/h3VZ5hxOiSqztBLlSuLDyCUKXMVSedIzeWVaUqUuDjpJAKNLMfbNuBMgE6S2ZcqTAYbXGA4X1SfR5p4ikurgzZ/yogz5UjCrpKBtJcGDPwwz56tE9H3XI+WI8iaK78OX43apwTH5fq8HQF8TXHx3F5n5zfXIGLH7iqQH5pt9vF+aNBUj+4h4vF+005yXiG130fBoGYFK1HU13eHRjoN41ARBQjRQOkudcGUxk/nXxXq9WK0qdSr0orywBsBsYZhdTfGTjR86RJFtSgkXFezOjkwMCfGQ6HI4bWgbLrgyrQrL7qWfGtxkMeZiCj3++PHMXv866UCe4r8HlQnRyjdIvrnyoQmuly53d3jpz//VmfA/+/ym6Qnl4f+0EeoO4k2K2iTwZks7b0blVfqJ/Iv2zDdZjrbYLuzNawr5kjxHGzv9QPlCeXaz6fpSDpumy4eFSg0W0X2/Z3ndaaQ9fVzjOiK1dZHMQz2CXdo/vODywE+HQkVapS6KnfnP60IRn9HUy73Lseqiq0sxzfYDAY+daWQLfG4w6wywkDrUzb4pxzjNTb3pesDWbEkJ6aXx2AwD6RH+hA8YO3Wl2jPtVzckI8hU/6VYV0Yt9I8yy47faOq1Oit9s11v9/jfPDQsK6ElAhc+l/V2J8RwaYoNILDWwW1cz655PnQIj94GRmEe0suuX949Kzg+iMjmQ2veMb2HxcGa3ZTxdSz5+lkFZF3hhlIgCUc8fxe6RadHAAXdX/jCYqpDmNCkGlF0agz6vb+ZjKn/cdECoK7XuqVH8WGcocID4/HA5HIjBS1lyR6vV65Vhetalvs5Bf6NRmckLD5cqcBrHKmRC9+v1+2SNCI5yNlcBafaST4wBF35DRBlrVoz5p7KKzUrI4V5kh5px4XwmU+CwLI2AEYa7LXBYzJ4vP+z3+76DKo9XO0xmYZt0EQAQflO9sJV1tOw0oA/X6ae6761QHGeIhpntketnl0Gnj99WuOw6Z85/Rj/3me05Ld8aqdJo7ou5wuty4Tcuixbzve9t8DHQKqac4t66PqJe8Ter+bMyZ3SI/ecCN9GUblGWPPPvcuTOgd6jD1A/2JQs8knbZ+Gu1WhwcHIzIDu2ogkM+f1kQTXzg99gmnXi3p27/nJc8TZd2kY6j4wCnDWmnueGqltOK/fHxiCacPwVWqIfYx4g4s+eXvBIRJTCmOfQgqTv0pKXTkfJZq9WKc0PdpmAcnW/+uO7I9ATts/fPaS4aKSAoesphcmeUtKVOUHus9/j4eGRlSTysQ4TcXj6q4xPxDeD8OGDySY0YjXK68WGhcnPB4bOMMGagdzgcjhyfSkXOdsiYmbJ2paprPj5nXO9zpnBVqlZ3XOgyY8zrmdFgfxjZ8DolPBGjRyeyDoEf0ZKb3qiIGBnw9kUz0oJ84zSgkXZwQl7i/KvQAdL7VQCcfc2AWZbqJcUiPpKyUx0EbnqHjhQjadm80pgQcDBixXnl/Kr/fnqfyyOda9LMN5BmjqROWKKc8UAC0oZzq3bJs/xbUS/NF42vnB89y8Md9Hej0SjKWnUrPUDP+ByrOG/5vYizQR3VpXnR3HE+yZ90QEgTT+1yUOP1eqEh0vucbz3jdap/ihJmupL8R5mj06LnGAl2B0rvuI53gE+QSifK+6y2XffoGV1XbjwjwGzLdZ23kdGONsRpkNmSrM6I0Y8lqx7SLXO29JzrWG8rW+HN7lPGMsDn77qD5vVWjd/roy7j+x6c8WAWAzACtb5aQl7N9E/EqF1Re9rDQp3Kfjngc2dLKwF6j84+dbFK5nRJB3PFk7oyc5actqSXg+QsGKr7VTJEuabdVr/1nS4F59g3DxKrUCe6/qJuybATdQf1OWVHz/DYZjkm6pvSpB0H6R7nhvYhYvSwAdlaPSMbOjs7OxIQddrSGVab4iPSWite1LHD4bCkGGtsrI/fyyNdOEYPyJJnND7RUvhC32zjPLg9fJTyDeH8KKoXMfq1eRoZKrKIs4JHBcXTx3xCdM0NmBgwO87Wowx63xlZzJgZcL0nwaZSIGNQ0DPjmm3G1HsOpqgY6JXzfQdLjD5kStCNG/tG5cwIANui8nKD7QJAXpBi5Y8EzI2/xuA0Zn8JxpiKQOXCE01UjxfOl8+3gLLGTf5jWxFRluZVpyvBqpQNKSDKAAEy51FKXFEX0sJBZebwOH+KzuQ90c0BB5Wk86ocYRk+jlv0IB+c53zQ+Ptcjo+Pl70+MzMzZX+JPmTa6/XKPimNkQaf43Egq3nu9XqFbuwnQYccKn3UTm2RpuRRGmo6qOpXvV4vG6GpT2gUmRbDAFMGyPV3Nj7qT+mZqvkgEHWdQQA6GJwcu66xq1D/ST/QuabuIf85QNJ7LARfDhIZ1IqImJqaSoGVg3TKHO9RLzgY4jebMjBcNQ96P+uTfrLsiUz/MLhG/qMe5ftuU1w/OtDmeMkDnGPOldsJv6Z+8jAN2izVq/9dfiXTqtNPBfSx0R6JH/SsB2r6/dP0TdJF+kjOmo4fJrB1maeTRFlmkRxy/rmq78Xf55zpeXfYSHM9mwUUKDsKQuke51YpVxz7wcHBGUeOPOI4g7RxvaEx6D0PxhGbCUeQXtKnrjcc35A+1Muqx/frRJwe+KBrmivnT13jh5Ypj2qPp2SS/krNU+COtkJ9Z2qccAEDPZQt/XDhwIOmuqb0OTm0dOyEQWT/NH7V4fN4XnnbOz8OaqhERDCPEmXMzuJL2VVKLGLUGNDDrypkZr2rd6jE3OkhOM+MdGbY9B7BEIsDGNbr/wtwsT8eUdEypQNfGh4pBgIyd9jYNzG17x9Re7qWOZisn+PxDZMSStIx4w+fE/0I3GjcboSzdDOPxPi8RIyu2jjYUh8VASFvsA5GWdSfycnJkT57oWJ355NOk/Y60VlVWz6ubCO+5oYAjoDC54G8QsDhfFhF0yoQRDAng+KHFjh9FA1rNBoxNzcX3W439vf3ixPE45dJPxoqB/QaA9sU2HHAqG/a0EAo0sZCY0rgz3xrN7yMAMqw+HeP3OlR3x188x0PppC+VXJHAMF7rkc9FYa/M0fT/87mV+85oKJzw/+ztjk+vpc9X8W3VbzoMuO0z6Ki1PkRZ7/7xt+Z05LRmHpbOoDyngV/JGfenj9D287CPruTT33uDpMDYfZPoE8AjXNMfSTA6/Lg7WnMbgdEpww00zY4Xbma48XlQH1Wn2ivs8L2Mifa3/X+cD44Z5RBDwq4E5GNR8+5PiE/Esx74FJ24rz39b9+0z6pDo7T55SHMhCzcG5pa9lvdwppH+SAcHzibdFWHzH1MUqv80Aex4bEYMQWdN48g8mL3iHG0XWl+zkucr3smMbH4I5qRJRMF7Xt7T9Keds7PxG5UeSGLBWPJLsRVl0UAEbFdS1ToGJapmNlQkdGy8CaM4GKDCDBbuZZZ0zOZx6FhvyfApE5LFVKiwpR88AodcTpMYYe2XSllM0vhc4NnYNKGlfOCRWmAyw3SlU0Gg6H0e12iyAqqscIOiNYLFVpIR5hoeHixljSpEo5ad6yNEGtfHn0jqkRVE4C2ALZ3p4voTsooXPktNCYzwPEnHOCU+8HHdKMJlXvOq95Op7uS7fw2szMTMzOzkav14udnZ04ODgoxy6Lz53/Mvl1wOlggg6G+sb+rqysFBr3er3Svug6OTlZdMhwOByRHfIs21DetU4tcqddzxEQusH0+XQngPVw7A6sXJ9SRpxXWM67nul/l38HTTTcvOc6lzaD8k0AVTV23nPHiddYjwr7loEjp0FmH+h0Z+/xXepsBhkzB8aj4XzG72cOngIPfMb7k6Uq+cqlp6xl4JBg2sdJWnOeOC6X6cFgMHIKFmnsusoj+RGjwSzhE9FNfzvYFI2oD6v0a6YT3Rki3+kZPl9FK+oH2hnyp9OAjqDXRZ5YWFgYkQ/KSESMHH+vQplU30kD8QhPTGVAnX3IVtkzvOVYgzqGjoZ+iB9clur1ejQajbRe2WnOD51Ntskx0/lm5krm7Dp+ckdGNGD6Gh0a0p221OVJ+3dFC31LTx/1zvj1Ucrb3vkR8bmEFhEjp3KIIFyRoGC4waKCIMOoDgoN34vIj2ZmX1XUjuqiQ8U2qaBqtdGIlk/ycDgc+RKyM32m6FxZcJwqqpMKJQPgnhrDQqWgPREEAQRobjgEdiVIFDYZEUbN1B+fZzegooMDMvWBbfizPieMcNTr9ZEc5MPDwxgMBmdWA9RnzgGVGJ0JjSdzNrM6NA4pMIEBN3gOyjmnVPx6Vw5QvV4/4+iTtwkC9D5POXIFR0fQgTGVtUd5sjGx3sxAsw8Z0MpKBu7E86qj0WjE9PR0zM/Px9HRUXEY9Fv0zE5scnr5Ny+oJzz4oFS5weAkzWF6ejrm5uZiYWGh3Oe3qPgBUI2BfEn5Z3ta1dUYsqie6xMHPByTj9udnMwR8fnRfQ8kuG50x7rqOdXp/Oy85nW4XvV2M/miPpJu8zazsfq7WRDN9YTrfvXb++b1ixYEc1VOW0ZzPkc9LV3NeaOerpIP/U97xGd83khTBn1YpwI7HujMnB+3qbQj59HR9Z7kR8BQdOGKts+DimSTKc0Ch1nal/7OouPZmHweGRzT/9RJXgd1PdvJZE39dd5gGyrEMRFnv5fEd7OMBtLUx5bpF8oGx/Ew2SJOVN/YLu20rotmbgecxqSj+Ie8SEypvnoKGjEVAwCO2bxPvE7HR0Exjj8LflRhQsddopkwhlL3vF8MnGe6/WHlbe/8qLiQ8HhCeudSEky1oaBoQrkkXbWCxHfpGbsh1rP8rT5nilX9yIyfj9N/EzSpDQIlNxj+vsZEL11Luzw+PAMbqpMOIFcXXLl6FIN1sE8exaJyk8Dz+0fuCHj97B9BJQv7y/mnEtGPL82648nIHOdSfWGKEesn0Oe4qSDYTxoCta3r7lx4RI1/y3nT3h7mB3MessiS813Gf5xfd1Kcl9hXGh1ey5Sz+i75Z+qC2iWfUNb8yGZ3tjQ+1auVER7THhHlO0AzMzMj3ytwPmW/OM4q+Xfjyznv9/vR6XRKDrxS8xYWFqJer0e73R4xlnRSOM8uIwRwMjwat8YuB48y5zznTo8KAa+P3Z0fd0ZYnzsp/n5GU/5m+3rWnRKv27MI+IzGxesEJ85Pmf5zWWFbWUqY9Ipk1+tkP7J66QCQvvqf8lrlvDrd3A5nMpnNi+rxI+yr3nOgTrr6iree1ztMFfJxus3U/76iNRwOy5HBtO8MjClirbFxf0iWMkwa+uoOdTJxD9O93O46+HZnTUXPeXqeaOX6c2ZmZqReb1Mnk5Gv1KavzKjvdAY9eMh2Op3OGXqRpz2F3LMbMr3gMlJ18IF0PvEi9Sd5smo1NXM69Q75kLo7IkZOWXX7QhrSAdN8ZpkNrl80b6KBeJkfbfUDwGQjpqamzqRQs08co9OdfJulzY2Nne57y/Dbo5S3vfNDJUUlScbWxJKZfemNwFjlPE/VQRdzbTOQ6waK91UnV6XIKGzT69XfNEwENv68Kx4HHPLa9Q7PWKchV18zZ8qdORoigj5/huMmqHfHyZWiog/qs/rqp6xEjKbVubLh/xprBswdSMmoUaAFDNWmfruCqeIN1id6O+DPxnFeXTQipCsNmWirlVNXtixZVIhKl3zEQl4kTWmMVZjmxv56nxwkZoXK1EGq0zEziKQ9nUrut8lyz905z/LvSQuuFHH/kfjMja3Xpf/lkBwcHESn04np6elYWloaSUtQGkG/3y+gLTM81KdaOZKjpNQ6ptnRCHMViXrKZbpKzlwfOv+wbucx6ntd93qr9GHGt9TJfIe62H8yB4h94fidF897JpNJgqXzQAH1pMuq2zB/T+34b9rZiLNBhOw362Dxw2pk17PN+LR1TIPRu2yD9KVuoUwqMyGzTRGnq06qX23wNEenI7MHiB18pcbTaUkjpz37o7+z1QPOndvxTBbcoVXdtPn64QowD57JnHKXA3eeODbPnlG/GKQRrVxmCYgpK1l9pHWVE+QOG/EJ57Sq8BMhfggSnSnnM83nYHAajPcf2m8WzYE7V243XT/6fOld1uvXdN11SmbjaEe8cFwe8HY7V9WPt1Le9s5PRB5FzhQqn/McTSonMoyuRYwqeLZDAy9lyjpdqNwA85kqQXDlkEVQhsNhOYHDFRe9fW+T4/WoHPtMAaJCdJrrfQoAjSxBLOt3MOfCwLlje2yH9biAuCOsa9n+FdZzHjiq1+sxPz8/Asg5/1UKy+fblWytVhtJE2O0XfTUfHm/OLesW7QbHx+PycnJkZNjSHeB4ioAxOfZ/8zZ4by4XHK+XfmqvwIKmnPRVwD8PCeAdK4KCBA0Z6DS5UPPUYnL0HC/l6fhevsO5Fn0HQM9R9DgY3CQILow1VKy3O/3o91ux+zsbCwsLMTs7GzMz8+Xe9wfxCCFHCSOgbRSdE/tMsWP/7NezaXqcFo4uHC+EW3UR/7t86t5yorT3q+7/nU5VqkCkuonizsz/p73P7MXPn4WyqHrB3/fQSLTdTLw6mPhqoA7hu6wuf3JnlEfaI/5t/rh0WYVroZkziTpz7Z9LHreMYPTRDpc94kr9Nt513UW+T876dJBK/nE6cqUVgeLtAPSYR4I4txTRs+jnfrS7XZHbIzXx5NqHX95oXOl03ez4hiLThHn3mUrcz4535wv1s/3qb9cL+oZyjf7Jr7QGFUUgNL7ekeHH7BePa89qKKT8Jd4yXmtCn9xbpxfqNPJv8QnDFZEjH6OwrOuIs4eLOZ0Y2CNdlb2kencnOMqXe/lbe/80EgzQumCGXE2Z5SCR2YkYPe2XDG7soyIkdM42LbqoGJyAyTA54bflTgZzwsZUCUDWQ7q6KBoXFwV8Oig3nFnqMrxItBmGgCF2Z0ftU1lSsCVGROCDwoxHYcMMGcAgddJS41L4JD9IEj3lDl/joV0ozJX+/5NCvWB9Xu/mYrkRkRK0ulBo5gZXvVH45diihj9Bhb3djltHlYYRHAAkYG2h0WzsmirA3jSOgNCnpuvd+Uc0Cmnk6Pf4k2fM+/L2NhYNBqNwrOUL82rfldFILURls/r7+3t7dje3o6JiYmYn5+PxcXFmJubi7m5uej3+3FwcFBSVJReoHe5Z4k8rn7IqabRloGiI0Q5FR850OUzru/cCXFHgHLkNNd9dzocvKiQz7P7rpszXSveJ+jg2N1463m3YSyUJbcXLmekQwbQ+ExVoc7Xbw+m+d+Z40I59H5nDpMXypbTR7Lpzo/rYT99ks6EbwL3+VK/3XnwDeukG/Wfjg+WTnbniav8ep/8L/o5+Na4+L8DVXdINH7JepVupjOnZ2SPFPjRxnS3XWpHezc8sEqZVb/YN9pFd+ydfxlkYaFTr/FkwTjW5c6UB6bVXwac3YmIGF2lcPsuvhE2Uf/p3IyNjRW96TTjyqayC8RTg8FgxJmio8igmYJWotHU1FRxMqRHqM9dj1DnRMSIM8KVUD0jHtXBH7TH3le1RV7Xh3wzrPmojk/EN4Dz44qFBsSBgYorQhUXmEwRiBmpVAXOPYrDPvrkuiORORRUeDTe2bjooLhBcGDnoNqVIdt2pcP3OSY3EFROpGVGi8zg+7MEqG6AnB6ZknQwxPvsu+hBGrpxpWHNHBj1lSBE80cHPWL0KM4sL7nKORNtqUjduYuIETDK+RVNCTi8DZ8rvUfQ4+ml2mvj9HdedHqp31l0lXPvtGDait4nuKYx0yoIHWimyjJlyw1jJi/8n8aRhkV9IuCiMRVvuA7guPWMR8q4qpQ5h5QLvkMjubW1FXt7ezE1NVUOSVhcXIzV1dU4OjqKdrs9wlc8ua7fPzlRTu1zlUltacVoOByWvUHdbje63e6ZVeoq/tYYXedWORlV93hff1c9c548uJNA4El51HtePN+9qg8RZ/cJ6h21SyfcbYvrpuya2yl+GV6yyZx936CvcfJ0KfbbdZ36qnd9r+b4+PjIEfqkEduTjLn9ZoBBgFAAUPIknmT6J/WsB2tYxMeZIy7dzii4H1yi95nGx5VTOo10DlVHlvLltlPvqH+0w4qmZ6CRgV3Xd/wOmAfGNLfkj4g4A9hpKzxlmnaV/4u27Bcdfsd9HD95RzQfDk8Dgi53opMHSryf5As5GJwjd2SybBo6qMwa0D3ykXiMOIbPsn9KWVc/iEfdidR7WlUS3eQISRb1fqPRGAlaZ84yZZn2XBhE+Fn0VlDMaUB7Tx4lL/K0RN1/K+UbwvnxQRPk+4R7hJiGjkTOjKoDa7ZBwRNznGdc9a73nQyVORkSAgc2GYNX0eu8wvbcMFJA3JnyCEwVAKi6zvY4RzJcNJIOlqgQne7OAzQsNAjuIJInpMAUsWMajwSa0ZaIUaeG80HgKUPk/aExrJov8h2NoQoBtTt/lAMpM2/HI2IuJ3R8CODUL86HigcG3Fl3fqCSZL0yDv6OFL6W211+WPS/b7Ql6M74ljxHWjngJFCRXLINAR8968BW4+MhIwSE5Bk6SWqHDosbR69Pcr2zsxM7Ozuxvr4ei4uLceHChVhZWSmOjRwhGjIeKe4Ou+ZDPDY9PR2DwSDm5ubKapmOBNdKE+lB2c3St6jzMmfP+Yzj9mf8fzo6DrII/AhuqmSG9oCFYyK/eTBKzzD6KTDFvjFwwL6yP6yP4FaFvK+AHo/Dz4IulDvSgVFn1e00op5gvQ7+NYecF66YsJAftNrIVRm2Qx3m+poRez0zMTFRIs+eluxAncEg0bNWqxW+r9fr5ZtrVZ8PUH9IX80Do+ZqjzShznQ9m2EI1eF6WA6bwCn7SVwwGJxE8/2D23peoJxtcQ7YJv8mH1M3uJPH+VPdGjuBNVPyaWv9nYxv3bnSXPBZP3RK9siDtsQMHnBQva7HHTtSP3GuiVOJC9lPPk87wyL5qdVqZUWINsaDA6ItA3OSP/0vR2d+fj4ODw/j4OBgZNycQ84t7Yr4PsPwj+oEve2dnyoB9tQWChS9Sl+WV3GQ5kC7Ko0iU17OjDRi7D+ZWYLJ+ilY7u3S6LlQZCUDsx7J8uJKysdX5exkS9F6ryryqaJUOY8aOt0Idp0f/FoWOXaF6vmwuqf9MhqXlFgGMhgBcfBAQOHOBYGN09QNGvNqdZ/PUkH50r/o6nyuvvCbUuyngISf4udGiIpd7/m8ZDR23nfA5ABLdOV90pYlu06a+RJ7Nj9Mc6ThJyDje1kU3NOF9Dyj0TTuXM3K9B2dIOdd0tCBhcZLg9/tdqPT6cSDBw9ibm4ulpeXY35+vjhCR0dH0e12i9HS/DLdTb8pq/ogn67JsB4fH498FynbI0Td4fsJznN+qsB/1TNOt6w4TSkz5CV3Slz/q47M8fH2XD7ckfD/VTS/3g7BcdYX0dMDXrxP2mm+BHwJ2gT6vEg3at+COyPZ6gfnxR0WOiCqn/qXwFl1UW+QHhqD2w3f20Cn3+nIcfI3D5MZDoflZEZFssnHlFvNhWQ8C6I4L6pv6i8dUrYjfe205lxTltmWaDwcjqZZS045j9lcUl9nq33ZXLN/52E4jdOdCNomrTRmQTt3HqWDKWvOd05fX/EnL2g8WgXneOhkqt2Mr9zmaT44fp9Pp382P5oL8SpX7vibbbhzSCeIdowZFvzgeuZUazz8Ub9c7z2q4xPxDeD8uDLUbykH95az97JrzmScfF1zJlL9DvKykgF1Bz2+1JtFODLjnoFmtsv23CDyGTcW3pa34cDRx+cOG52Dqv5lACPrgytynzNfmpYy4VK3z68r+AxURsSZc+g1VndC1E+BIf8CcuYIer+dXlTMBEcZaGT7qi9zaDkGziFp4YCfNNW7nsJWBSgd3PFZ51Efi4NOGg+fh/OccNXHul3m/Bsc5A+OlU6A+uLANAteiN61Wm3EsZQBJZBzXqQz5oGA83RD1fgFhvb396PT6cT4+HhcuHAh5ubmYnFxMS5duhT1ej16vV7s7++XSDYBtGggJ2d6erqkHQ2Hw5ienh6RU6XEdTqdslfo4OCg0JOyzuJ6nnTVWJzurjt4352FDCyyXudDvy+6EOA7n9OIZ3rAHRIHaVX8xfHRrojHdN1tS+bMsR9Vzgx1D1dc1K6PSe/JCdZzWlUUzTgGpq9mDrDsEPuayVtmfzk2D5RQ5+k6+cODG9yjSZnlda3ocEVXz1O3y4EgmOTKE/dact6puxn080JwTzpxPHqONNE12bOpqakzh/NIP2ar9eQxjUX1UQ44X5w36bosiMCxK9Uvw2r8xpPPMWmp9/iM81Bmv1QycF/1t8ZLZ9j1huOuTEf6iYvS625DvP8Roycu6nnXCzpYRzR33ax31FatVhs5yMCDgOR3p5nGyL3eHqB4K+Vt7fxUGXVnFj5HAdB7rC+7nhGXXjCBhwNR9UOODfvg9WYCwzY08VzV8ohWBgwyAJq1nSkX0i6L3Lvwa3xOe/fQqRx96d6BHJWh6pRx0N+evkBF6kaMxp2OgAsio0Mcs3K+VZc2p3vuNpe6pfxJLwq5g2A3sj5XPr8aryu0DCBwLL5SoXdUt57zdxlR1LtM/8kcFhoj/8058eiRyyXlSm1x3AQND3OaeI1Gjf2gAmak1Z0F7ZdQzrQ7tVzV8bFw/BGjx5GzjUwX0SDR6czAGnnQaezyTdnr9/uxsbER6+vrMTMzExcvXozV1dWYnZ2NK1euxPj4eOzu7ka/3y+pLxERU1NTJVc8IkZWdURD/szOzhY5kvPT6/Vib29vJOXO5d1TMFx2CPrc2XP9SHlwp6RKJlmv80bEKeAVnR3Qu85jSiPrEsjN5o99dmfMedvHq7kn32SAOmJ0D4lfV+n3T743RcfAaUtno1arlfRhOlHO/+or04VVPwFWRhPRgXq96sQp0Tqrj/LjUXXKbZZOHBEjwE/6REEB2iyBdvKGxs+2ZI90nw5o1u8M56ivlHc6WtRf5C3ysPZuaN8Pgxa0r+TJzMkib9Aeuo4mncW/3kfOnfYnZrqdfOhOhlYY9DzpomfcKXIZ5Zic9myDuIarg3QiXJeRFqqX7fg7GTauwpz8kLnao0Mk+nMVVM+xP56i6hhRz/F9t+Ecq/rFjIi3Wt7Wzo+KCOnpR7oXEWcEie/yfsRZx8ANmSaMhKdyyBwIFrblQk2vP3NAXHgeNum+HO/vUwDc+ckAotOBvxkp8BULvV8F4NQeARcFhQJNIErFKj6goZWByQSEBtEdNVe0Kt4vGR/205W6ltWzPGufExYfC/uqvniaiOhOxe68I1pSFtyZFKDUu5wX9cFXI0gj1eNgx3ki43uNPTMWdERk9LgBW88RXJBnSHvKsadb8Mf5QXWK1ronPpAh1mZRd2ZJJ7bH40nlQFE/0eFzoElaeeSMPCMn3Fc5OTeZ48hxdDqduHXrVrzyyisxOTkZq6ursbq6GisrK9FsNmNsbKzkcnNv22AwiEajUea51+udcVq5Oied3u/3o9VqldQ4pccJzAwGp0efs7i+4HXKDkumsz0C7c96gIn3xC8EsLrvATTWpf895cR5xsfmfVA9vg9Bc0DeYfSbYPU8uvh4ufFdK33Og2x/MDhJj2o0GiMbtQkwM1vo+kR6OQOkfvQ1bTePGWbwhs6q66iIs98J9ACHCut3HnLwx/eyNG86bPqAMgNu7jj5mEg/zZk7E5xX53XXM5mDqvFQB3H/aqYD2R9vM3OQPBgxHA5HwLDrQsqS+u1Yh/TiClumBxnEyrCk99ntO+0xaeJ1edq515PRi+173ZnsZthSupe6SjTxwzq0apZhOu5JpByoDcqr0438yD6rbZfn/yudn8xRcEcmMxCZgFcRkMAqe4/XM5DtApaBCzIsx8H7qv884XJAf55x9HboWbMvqkMMnBlrKUeO0cfnffE0CIJa0TxjbCk4foTTnbQqham+6DmP3GX0IT3YZ9HODahWAJx+Vc6j90VjHA6Hlcem64fzTYDlSkU0oOPoyu68qKVHx7JxcS6qwCCfqwpC8HnWp7GRlzLlLfrR8VXJHE3VkQE8zXmW5kN+5ZzQ0GcgjTqECpx1SsGzXwzgiEYOCgU+9SOjxRP/3ClkPzX3Mk400Jlzf3BwEHfu3Ik7d+7E7OxsXLhwIS5fvhxLS0uxuLhYvsnA093Udx3+of6Ljmqf7a2srBTHR2l07XY72u32iJMlvqVD7Hwq+ok3znOSyA9V9oGpJZznqqJ+ERxwfvkudSplQs/yhDmVTM9yDA7g2C8H767rdU0OJ3W/6mffNH9ygijPmhsdhT45OTnyLRi3GaKF5kV1kk/FM0wzpm3VcxMTEyOrkL6PzAMEEaOHiHihTGTphD4fuu8BDtLabSt5WXQQnzNt0DGEO7WZI0l9nwX83L7ob86n648scJXZhioAzn64A+ipjI53Mln2ecuCkepPZuc0BtfDme2iTvXgGZ/l2Ly4btBvt+2iBVMLfawZHqFez2wo+UnPzMzMRK1Wi1arVVJTx8bGyiEg4kdmO0neHG9xTog5nM/I+x4w+N8pb3vnJ+I0R1hH4IlgEaOpPg+LbqhIUegdByxULtnxhZyc8xwQClEW4WA/Wa+ey5wEB1IcC0GeA1u+y3dUpGwz50795D4Fj3h5vVnUgoaKij1TQsPh6Add3WhIUakfMtR6n31wcMGIrK4xIutGhB+35LyqDt+z4LRnW/4/3/GIk8ZNx0V08/E5wKLxyPqjZ8nTApcExIoAZbR1R6Zqrh2QqW0+r35SZnhkq6dBcVyZQ+VjFG9mfc4MM+eLzknE2WgvFX5Efnyx6w5fAeA1AjT1mXNIPvVrbFN9Jp+Rfq6T3OjKqOn5Xq8Xd+/ejbW1tZiamoqVlZW4ePFiLCwsxNTUVDSbzZFVIK2MOT3ZBkGTVsN0/fDwMDqdThwcHMTOzk4cHBxEp9MpaUDUOZQbn3c61b5SnoE1B9IsGf9SXlWy46LdnkREyan3vmSgiH2mjLp+Iy+5Q0MeINhknaqXTmQWdKPtdXrV6/WyWqfjbv00M82ZA+6xsbGREzoHg0GJQGcropwjpt80Go2RFR7dV53iBR5EQKdKfRHfUB+43mUffG+Tv69nJF8at65RV1Cfe8DA7Zz6ynkWHzKQyA8aZ8EZB6hqQysV5AHOd7bS6uW8QJXazdIb9eO6hHLOQufS26bsuHPtMuV9Zr/8OXdK3CFyvexyFTF6gIDrDcqt3uEKjmhHPuWz4jfSj3O2uLgYKysrMTY2Fuvr67G5uVloqecYfHI96XQ5Ojoqh51orMJK0gVZKr1jXqdhhqOz8rZ2fsjgnk8acTYnn/eyY/r4rOr3ySPzVzkC7mD5+1lb/JuKjYqUhoAGXQx+Hghin6gUOY4M8HEcjOTRSdF9efeuyB0cVkXjaPg5B66IdZ2nrGS0peKoyr+umjsVGjCniytZX6Xh/p9MEWZz5eP2XGyuZjgPSnH4h8hIB/KYCiOy2bc61A934lgoF1SErItRaikwtU1+iDgFp+Qj8Tkj7Q6YCQQczNJg0BGiA5bNs/qj5zOHh++w7+Q9zWEWDKHhEm+rTgeN2SqU85yu6YepCRyzG0vnQdbPequ+WSGQs7+/H91uN9bX16PZbMbs7GwsLCzE7OxszM7ORrPZLMerHh4eFoeF+fUEuAQ3TIsS/+zv78dgcJKSt7+/Xw5h0KpC1lfqvAzI6nk6SLqW8UamgyJGU5hIZ7an9z3irJMlnRey4ACB/OTkZNlLkukfzmsWYMrmWGOl8037QzCa2T7Xl0yRI4AibQTYeKqlr4KoHfLO1NRUcaicf+gwubMp/qUNppMyPj5eTjlkCirHpxQsjZEb6iNGjw9WHxTMkfwyAEcHlQEWpv2Sl8lnGjuP+hZNJUt0BNRn8jX74fwtWvperYy3+E7GK7Rnbmc9wObHghMHau6o89zxohPMvmS62VcceU10Iq0dd7l9Yp9d/vle1X406gPV759soE133MQ+Ux5oq1S3Aszj4+MxPz8f8/PzhV+kY7nHi847gxHusFK/e3DFcQf1JVPeJDtvxeFheVs7PxGjwqdlbApyBsCdodybdnAhYjswyIAXi0etWB//zhy2zDHjJFPIyMiZUSRDuWIR8zn49OIOk/qYAb6s31nffRwsGShjffpN+lKIVQcNh4MAV1g+Vv3N6A8NY1VfaPjpCBIQZ/R1kENHVTxOICcaafm53++PfMCNfMw+iK6u+Kvml/3xOSH/O20z585TPmq12oiTqOIOEd+jkmW/GCmiYeCcUrGyn1V8TOBAJ4zFeTdLV3Gni++prwJ3/P5DNo/uVLIIHJJn1XfxEOuizqgC7+ozgSTv6efw8LCkLckgDofDaLVa0e12Y3d3N8bHx2N2djaWl5fjwoULsbCwEAsLC+V9fRdlbGys7JUTzdUugaHGNT8/X2ij/UDtdjv29vZif38/dnd3S/20EaRbxCiIUl00zO54RDx8b5E7oPzxoIn/0M5ktka/q1ZyMuDp7xMkcfVe/Se92b7e5Z4aZWC4M0M6Sa/pWGzJGFM2xbuZ3sscefG8HCn1g451xOi+D9XL9lz/cW8D5Yiri5oXd3LpkLENptRRxkUz6TgvnFv95r5Mpy/xCWWd3+diOqLjhQzE+x5LBlLI85z3KuyV2QQvoo8+xEk6uv2hnVJhWqEK2+HKiGMF6kMGTVhPv98fSdVkcccuw4tZMEb1Hh8fn3GcWRdpxDrd1rj8uqOhsap/5G0tEiwvL0ez2Yx+vx/dbjeGw5NU5Dt37kSn04nZ2dkRe+cBP86lCnkoYvQURMpD5iTSHuvaWy1ve+eHDKMiBaPizE8iS2k7SGLxvFxnRN7jxGSOCEt2zdNd9ByNZRWA1rNUPlQUuuZA3B0fd1YouGRojyhQyBy0kW56lm1TibqCVD3O8HxGdTAiQ7DCgwD8GE7vW0bbDIwQXEac3UPEfPLMeXBnwYvm2vnKozTkdT3H+SJNXQFXKWcCDF73+cnGTr535ae6VU+j0Sj3KGektddB2mcGtmre2CfvI+umsff6hsM8OMK5pDHzFWnxeFVEdGzsZM+YeNTHy7pZj9onWM/klvPKazQ03ifVr6gqrxO4CbxmdVDulKZ2//79WFpaiuXl5VhdXY35+flYWFiIfr9fVmwEUqenpwstCdg4hw7iIqI4Qtvb27GzsxN7e3slVa7b7RaA4RvM5QhQb7iMulPD/mQpuwS9olkWHNP77sh44MP1NZ+lA6Prepb997poFwis/fmsz+5oO7jRuMm77jhwLHKKxKO0Eb7fSKBNdHWe5OmDelcrMNLTPjcMdugod/VJ12lvqJM88JCtVmY8lWEZzQvnkRF1HimeYRPyHeeJQWIPbDAg4nOtOVW9khXpHs6v+lhl7+iweZAn41+nn9uL83AabSbnmWNyWaK+pwPJ+/6dH/bX5cfHwz66I6xvnglDsE3qZecXzoHrBdHA0+EcAw6Hp99lm52dLfs3xccTExMxNzcXFy5ciPv378fu7m4J4ogfqR/p9HOOXB9EnGYvZHiPMiobR/q6rT+vvO2dn4jqiGVmmEQwKvZMoehZ91bd0fFJ0CRmzMq+OtN6X/zv7LnMWciuu5F0B41jzNr3vlJIWKoAPIVAY6/VTj+KmDk0VDIZAHVlWOW0UEG5Qmf/MvpJgWbzRKEV/dz5ocL1tqhsSSv2gQDGI9U0hlr1dGVXlQ6pttzpo3PiRpdGMIuS8l2CadXN9gVEPMojYJsZIQIURSDdoXDjyfmq4l+XE3fws+eZ/lkVfXqYw0jeYhoPc6a1J4IOD0G6O/oEEDI0qptzSj2gKLnmQKlCPKEp02mki4+be/GcNgpE1Gonm2ZbrVbcvXs3JicnY2lpKS5fvhwXLlyI+fn5mJmZiePj49jb2ytykDkjBBIE3OKTer0eV65cKQZ9f38/dnZ2YnNzMzY3N2N3d7ekKoke6rv+FghyJyEDNOQfAncHofwGTva+y2G2KsO0LV9BJY2qnG31g3ZSPEiZdt5lER+Tp3iPfXKd5LrWfzR2t7taCSCAVf3tdnskDYgAlk6S+F6HaIyNnewDou7SfiTKmqcjcWweMBkbG4vp6emo10++idXtdkfsr/pDJ8THS6eKNJNzTtvjgJJ8x3mgjKjQtol3JBcedKHca5WCNtVtJ5098ifl9LwV7iq5dzzlwQ+NS8/6KiuLp7KxLxkPilb+vAfxuAqva+oT9QOdH7WherIUf9e/GY+w0KHneLLPKgwGg7Jvc3V1tZzcuL+/H/1+PxYXF2NmZiauXbsWjUYj1tbWot1ul77rJE6lNotOVVjaV93Ed44DdC1zjqpwaVX5hnF+WLLo5HnfqMnAN4GeO098xuvzPrmnXlWqPHnV5fVRkHTdATWVclYYTXalUaVAGD2g0XIaVI0hczQ4T7xPA3QesHUaRZyNqChCpnHTGLoy1jOqh3tdfC4cjLhyYp0eSfVxE1h52gP5w4sbGNLEC4EHo8+idxWvcBz62xU02yAId5DIftBxowKksid/ukOZ8Y07BroWMbrRPIukc96z9iPizNxkhlQ0yvrnjlXWT9GXwFTvUv7pLOq+O6wEkc5Hg8FpXjefJ19kv2XUOSd0QtVHgnSXFxrEXq8Xa2trsbGxEY1GI5aXl+Py5ctx6dKlWFhYKCkX+vbPcDgcScHR+F329L82t/f7/VheXo6bN28Wx+r+/ftx//792NjYiFardWbPhujszg+dcJdL9olpqO4UZfyl+87nnEv9L1DIufBVW/IGC/mEtKvXT9N1s8BLNtcO3HzclAnJJ51KtqWxq85MPkgf17mDwaDsy9GzbusYmKFDptQ5pYV5wIp04rjYT7Ul3XZ0dFRSOEUbpsOJDgw6kMZcrdAeMM2T78OlvuXKDudZ9BCt+P0stee8zLmXo+P60uktsO0OsGjJcdIJVB3UwVUlwwAZ1nJ95LjH39HzCji4LWAfXa48yOsrhJkDw8AN7atoJZvDFRX9z3lyG02+JK3FK3pG7wknNZvNuHbtWiwsLESj0YhutxtvvPFGrK2txeTkZMzNzcWNGzdiZmYmLl++HDMzM7GxsRFbW1vR7/djeno6er1eadezJfi/41Vey3AvZYb33mp52zs/bjBYCMoy8Kz3nKHcmyRooMGj4nXBftjEVAm0lDrBjp534aFw6H8XYHeG3Hk6r1/ex6weKny26z8eYSIA8EihxsSxuRH35/i+97tq7tnXKseC9KPSIkDIhJv0coDAcbrRcGdKxfc5sHAzKw2Xgw7n+2xOCGo5BgeTVEACExonjamKAKW+6aET8rrdbokSqV39XaUUCUIIzDQng8GgbFDW+zRAWbBDcu3ROSpbGkvnBZc70d/BU6YX6ATUaqd7oLjETyCtsSpdi/PlQRryVJU8C3iQzgSxPscEfwSxPK6Y4McNuhsv6oDhcBgHBwdx9+7d2NjYiFdffTXm5+fj0qVLJT1Oe4R09HWv1ytpcdybweihxqMVNY19YWEhrly5UvYIbW9vx/r6eqyvr8fOzk50u92R/UvSPToRS4GZDIRlwQGCVq6kKXouOhPs8DQkB7r62Kc7ILJpnopEmaLeYL9pIxggcbt4cHBQ2hMNXB7dLjs/0CHShn/aPrXNPqjv7C/3AaoP2X4JypGvihIUsw9TU1MjR/VOTU2V5+hsqPD7LHLYO53OmcCL+IC2UKu9nBPyR6/XK2MbDk+/lSX9RTvGYBvtCp1OjV3XSU/XB7565LZB8s122R93FEQ/2jYv7pi4LfC2nc9VPPhNPak5ZECUTkFmRykLdI7ULwYg+DfHxfHRYaLe93J8fDySIkq55O+qMZFe1Ptqe2xsLC5duhSXL1+O6enpmJqaina7Ha+//nqsr6/H0dFRdLvdaLVa0W6348aNG7GyshKLi4vRaDRicnIy1tfXo91uF4ff0/KFMTxVk3yepQ1Tp5InMtv7KOVt7/yoSHlkJ5+IqA40ScwM9DuApyL3lB6PPrIuKulMMKuK10sG4Nj4fJXTlb2XRQYc7DuwY0SfgND7fR5wdQVS5bS6A8g+8H322b9IrL740bJsO3OA2AfySOZ4kT5VzovaIhCj8iJw4bPuZKqf4j8ZUh5ZSp5ncYPKuXTZoHLhPHtUT20IaKi+bGVGfZXB5rgIROQgaZxU2twHQnpRobOvHjxw55BGh3zhMsv9LM4LmZ5gf71QZ5BPdF2pAhw3+0HgpvnQvNHx0P4aAXUaYfImnSfSwEEd5Yxtisa+kkFHTf0kH2SBDQdNR0dHsb+/H/fv34+pqamYn5+PK1euxLVr1+LChQsxNzcXEVFSneSsTE5OFgdbfXcQLNpPTk7G7OxsrKysxJUrV+Id73hHdLvd2Nraivv378fa2lo5tEHjURukmcuoxqJUG5clbuImL6tvPvdMR3JHxMepa0wP9WdJCxaPeEtu3KYoRYz6iM4xdTH5hnwvXpDOzE5ypC6hHqduUX8zUErnOguAUF/5oQVyqPUZjePj45Le4w6fZHJycnLk6G7VqRWl4XAY3W63yCvpzrGTdpIfyY1o69iGc5XNrZxp6jPXleoLU2c1P46bVNymuv1SMKvKNmYOX4YhPJBA2dHzrs/oXJAP6TTRjmge6JwRX7JedypYeI12iGMibqGT7+PTXJEfxHMZRqjqg2MWzfPh4WFMT0/H5cuXY2Vlpei2ra2tuHPnTuzt7cXx8XE0Go1iT/b39+Oll16KGzduxPXr12N6ejpu3rwZKysrcfv27djb2xuZK+o0OcnUaVz1JM3dYab95VjeannbOz8iHhlBRUJBoJgR1JU7GY5CHHGaBqX33EBFjBq7jBGpzFwRO3P6sj7foeC5wsmUC8fjDoVfI4ChgVb0l6fmEIhRqB1YEuyTNlWAi8qKRcJHYaLR5Hs03oqgss+aU/6mg+RgmNeogDi/mUPoCpbAgKDcDQzHyLrUJ+7RiIhiqNUPRYZpHDJ6O5hy4MC5jRj9iKjezwA5jUjG584bVHwZbcR7Sn+S4yd+pGzTqcyOTRYwYQRK0XT2r8ohUp+cJ/zAAs6Z6tFvgg7nSae5ntF9p40AJ+dPusiPwOZcZ8Yl4zcaKsqTnmVePsEM+YF0dIeB/KHxMZjV6/XKqsxXv/rVWF5ejhs3bsTly5fj4sWLMT8/H/3+yZ6PwWAQjUZjRBY0V0zZZXsCrlNTU8UZesc73hGdTie2t7fjjTfeiLt378b29nbZI0Ke0FgIpsWv5/E//4843YNDEEZdLLkTqBOIpjPhe7b4o3a5wkSbJOCjcSjQIDlR/aIBDyVwfaX+0IaoOCDlXNDOkeekz8j/eoYOJmWKAQ+3e6KF2lJKpfi50WiMOEKNRiP29/fLKpXo4tkLPHabtNe3Tebm5mIwGIzQULTmvKhd9XNiYmLk8ISxsdM9RRovx6W59SK+9CAJn3cb6jZCOop6ijzLeRP/Op18LtX/ycnJkVULFddNPo/eB/GdgLbLPOv3/0Un9V9zx1XIer1evsWlOlxuFXhyvc+xULfS7rrTQ+dRfSPGcVnTgS7D4bDsXfM5Gxsbi7m5uVhdXY3FxcVS79bWVrzxxhvRarXO2CgGWW/duhX7+/vxrne9q3zK4J3vfGdsbm7GSy+9VOSk1+uVj6Kqn8SXnAPNJzEF5ZvOkmOtRy1vyfn52Z/92fjZn/3ZeO211yIi4tlnn41//I//cXz3d393RJx87fsf/IN/EP/5P//n6PV68dGPfjT+7b/9t3Hp0qVSx+3bt+OTn/xk/OZv/mbMzs7GJz7xifj0pz99ZlnyUQsnXcdaRpzdC0AlpP9ZaAwzsMPn2dcMcFcpHZ9gj8xnTokXP8+d/aBg+HWNy50LCpyf1uSOpH8AK2NYvVfljRPssW/+N39T6FUH54bOivc5o2sVnRkBowGlg6v35fTQoWO9Pp6sb+5UyxiQjzg/HJP6S+NLOmROPgEOgaDqymhOMJwBcSlhvavTkyLyVEjRzQ0kaaK6M4dBzoXG69FO/S1edUc6MyzcrOuOIWkqRcw6lbInoD41NRUHBwcF0NA5cNlR26QRx+rpjDJgnEvRhIYh0xEKDjCdxcEMHcLM0cvmizyr8cro8rsllKfM+LvjQz7gGJiCtrm5GQ8ePIharRZLS0vx5JNPxs2bN2Nubm7kG0LqQ5YGRbozTUM06Pf7MTk5WfYJtdvtePDgQbz55ptx586dePDgwQgY9TYkZ+I5X8XgPDHSrvse5MnmTPQjPc8DibrPfhJ0cRWXKayaWwYKXEcoinx0dFROcqwCfdzoT/7wYInLAfVuxkeSLfIwZdedK9FaDqQOQND4KRv9fj+azWZxXNRXHt6jvQ4ux6pDIJTgWLzDOaZTK/6gw8tVIM1ZrTa6ckzZYxBCpymKBxkkoYyLZzVH5AMV8QgBtfOe3yNWyRwS9V/0k57MgoFOH+kI8icDM+ILx3tZwLJer5f9X+QxT21UPxiMkvwygE2ZrbJ9upftdaZ9Z1u0+eT3iNE0TP2veR4fH4/V1dW4cuVKSbns9/uxvr4eb775Zuzu7o6Mc3p6umDtiBMn9ejoKO7evRu9Xi8ef/zxuHjxYkxMTMT8/Hx84AMfiLW1tbh3716MjZ2cYKdVJuoN2neu1GbODd9x+/5WylvyOK5fvx7/7J/9s3j66adjOBzGf/gP/yH+6l/9q/GlL30pnn322fjhH/7h+K//9b/Gz//8z8fCwkL84A/+YHzf931f/M7v/E4h3vd8z/fE5cuX4wtf+ELcu3cvPv7xj8fExET89E//9FvquAqVGYmWFYIIr8OdJT2v+glEKYiZw6P3XEgzJ+RhDlrmsPBHjK97LgQOuql4nDbuOBIkupHmb73DurzfBL/+rNPODb0DVxo+0ZNpABIq8gIjnGzf6eSnqsjIOOBjPwnqeF+lyokaDocjH7nztCFXsj5fpCkdahki9d1TFwhwPNLCeeOqj+eAc34YvZmcnBwxQt5nApvMoWIRaOQ8E6B7X8U/pD95xR1L1UklTGXrspYZLTc43W63RMVkDBXxpLFnVJjGU/XzSFG2MT09fa7B9GgsZZSpP9ITDqZVL2VHdK7iFQEipQPR6OteldOhNhnBJEgmbwtkEZyrD3t7e/HFL34x/uiP/iiWlpbixo0bcfXq1VhaWoqZmZmR9zVvPOK63+8X0MpIvgBhrVaLqampmJ6ejqWlpXjsscfi2WefjU6nE6+99lpsbm7GxsZGdLvdMyuM2mPkPM+Ipo97OByW/R2cG/WfgNkBlsbHoAznzJ0R1s8iOWN7chTGx8cL+Ndx4uqPVs7IW9RppAFXudQPzZOvdLkMRoxGzNU/yZt0oVZHGDAhzWhL6vV6NBqNovPY/6Ojozg4OIjp6ekROuu++qjVIwaCpqenY3Z2tqTz8hjjqug16c9554qc+EZpU1NTU2f4yAuDXwzekB+IbeiUOa6hHnS9Qn0nB8QdhIizH+RUf2TTteLHeWK7tVqtnEYmOvHQEu7RIv9zNdyL4w/qIDquwk0MADJ4Qr3pdTp+cHkjX7A9Hz/5hfhBhYFBjV9yevny5Zifny981ev14pVXXom7d++WgAADpHTyx8bGykdOa7VavPnmm7G3txdPP/10XLlyJSJOUmOvXr0azWYzHjx4UJypweBkZZ68JL6k7WGAiPQbDE6/OaXiuuFhpTZ81CcryvLycvyLf/Ev4vu///tjdXU1PvOZz8T3f//3R0TECy+8EN/0Td8Uv/u7vxvf+q3fGv/9v//3+N7v/d64e/duWQ36uZ/7ufjRH/3R2NjYKBGLh5W9vb1YWFiIiIgrV67E5z73ufhbf+tvxeOPPz5yYgiZnMN0p0ElUxhUJM6QmWPAtl1JkGH5t0c7HGRx0v14VL2j5wkYszEyquSFEXuCSaZ1cVx0JCVQbtydhqqf/WWUzset4uCAUeaIGImmZUCCQqs+eOSJUTLOaQaG2XcHo84P2RzrfTcQPkc0EM6XGgfnOJtz0tP76k6kg2E5Su7o61lGhhmJdQCr92g4Mt4gXQggSQPypsuXA37RxJ3nKjnwyJ1H5+v1ekmrYuoi51G/yWNyZKW0VZj2IVp6WgtTaDK5dQDlBiTjjSraaU5Yt+qfnJwcad8PthDI1/vurPrJaATCBHUcA1dMKDfig0ajUfaeCAgLADUajRLVvHLlSjSbzZidnY2IiFarVZyL6enpEikmr8nh8fmhcygePTg4KCtCt2/fLvuEhsPhCF1UD/W06yC24bZGxQEiedDnnHUTcNHp4rMEba7rOC+aVzkKvV6vgGn1P9MvDMTwo6hyNGlvNM8EkAT74lfXy6KZ3vH0UDlrBJwEYeJFBh4+4UN7AABvOUlEQVQ8vYl8SefTZY9yVa/Xy6EgcoC0f4xBKn+H8+6pfOqPeIo6VHXwmqcvagwKXHigSO0S0Ht6nfiWfeF9zbcfKiN5cDoyoMTgkPeL9YuOcsTUH+pYzb/qdecyK/xoLx0BrXK67VNfadOcN/ks6eGyyvFlWINjYpucW/Vd6ZpLS0tx7dq1WFlZibGxsfJx6t3d3bh9+3YcHR3F8vJyWZ0ZDodl5YyrhRFRHPiIiE6nE3fu3IlutxuPPfZYPPXUU1Gv10u6W7/fj42NjfKttV6vV3hOekCFc6YxSt9LdmZmZuL111+Pf/Nv/k38mT/zZ2J9fb3w3u7ubszPz1fOacT/xp6ffr8fP//zPx/tdjuee+65+MM//MM4OjqKv/AX/kJ55t3vfnc89thjxfn53d/93Xjve987kgb30Y9+ND75yU/G1772tfjABz6QtiWlqsKNVBGjQC5jOD1DJqtaGSFTueORMW/m+NDxcAAvocnACo2d109A4YKRRS/YLhnJAX4mVHyf9TBf1MedCW5GfzdULK7kORYZBSlHKncaR1co7KMUtBsQ5surPdKeIIxOMMGSz0c2NgftaoepUQIOjGromhtw0dRBo3iPKSI+t5ki1bgIyvw9N3S1Wi3db0M+8JQ0gTsZqqrDEhhB1/0MTPlYCKRUDx090TeTA2+XClgO9+LiYnmn2+1Gp9MZySknzemIyBAIRFHu2U8CBP1WCpn6IIfIZbHT6RTHjDwmushwceWE7VRFGhmVcz1XBeZFI/WdvJHpV/IM55bzF3F63C8Bd8TZtCF9z+f27dtRq9XK8axPPfVUXLp0KRYXF8tqXa/XGwm+qQ193JJGWjTRuA8PD2N8fLw4We9///tjZ2cnbt26VVLj9vb2Rj6UqXFNTk6OOIUy9BqfOylMoZJjQJ0gPsoCObIvbu/4m/T3eglUxUPHx8cxNTUVU1NTMTMzE4eHh9Fut6Pb7Y6sWlNuOddaHaFj7Q409Tbf1W/1hcd+65pSGZWKx0MIeHiK00P0Iq9KH9O5ocPG9EA5CzMzMzE9PR0RJ7LZ7XYLH5CeOuSFDkbmBNXr9fKcO9Lj4+Nl5dHpoHdpg8RPKo51iFckE9Q/lG/1wR0m1iu+pMNL/UTniTrc6U2dKl19cHBQnBHxkuaBe7TdSRamcZvvuIf0oNOutC/pdF/dUh8y/EW94nTKcJ3qoIwQN/AeA0TaG9tsNmN5eTmWlpZiamoqDg8PCz/dvn07/uRP/iSazWY888wzMTc3VxYSpqamyoq7Urq1uqk0uOFwWD6G+qUvfSnu3LkTjUYjnnzyyajXT07HnJ6ejqtXr8bi4mLs7u7GgwcPStBa45F+Iw4glvTPMmSY41HLW3Z+vvrVr8Zzzz0XBwcHMTs7G7/4i78YzzzzTHz5y1+OycnJWFxcHHn+0qVLsba2FhERa2trI46P7uteVfn0pz8dP/ETP5HeIwMpZzEizjC1npWyVPG/MwOtv6lw9dsVesTo0YZqj8qcIIfXuIyt+1ICmbPmgFf9pHBnUQH23Y2dhFNtVgEtB9UyhFXOoBS190Nt0/nw+24ECNb1jDuOGaglMCbtKDBsW3PJOgniyRvsI/sZcfaYTd2nAaPB49zyeuZwS4Hx/6wP3j/OCe9zzvxbFDJenBvyCZVRrVYbOYY1m3dG8+kEKFLlBoArrZlzycML6GiRL5jSJOBFR1HvCdTzC/ACxJ6KODk5OXLIAedQxwHzBDI/aYl9U39dr+h+5qCTFjJUPP3KDT0dH9ZDPSM6sC3yJedcetdTlegIucPMcek5rt4QKIg/PPBBeRDdNWd08DRHW1tbsbW1FX/yJ38SFy5ciOvXr8e1a9fKHiHypPoiICWekvGt10/TaTqdzsjRwxERFy9ejEuXLsWHP/zh2Nvbi1u3bsWtW7diY2MjOp1O4SGOnQEPOXaiOZ+nrAhskeYExdIPmcyoPg+m6W+trni2AZ0B7rOlsyBHklF9nxPOMZ1jBmHIl7TnnCuBb/K6osPdbrfInWSDc8y/s2ACwaho7DZajouKvjE0GAxGDmUZGxuLZrM5srql6DpXUgj+lfLF1XV/nkECjcEP2WDwTvPLFWUe8sL6qLvVB7Xjdpiy7ViKvKC55woCeVo8T0fbv70l50NtN5vN8hHZbrc7YpukC6V/9C71KfED+Ugy7XZlMDhJ25qeni4y5qmJ6m9WqOMI5h1fue2k41rFp7T5vV6vHN4yPz8/gk212v3CCy/Em2++GYeHh7G6ulpOdBOdZMvF6+rT9PR0dDqd0v7W1lZ0u91oNBpxeHgYr776ahwdHcXTTz8dy8vLsbu7G8PhMObn52N8fDwWFhZid3c3Wq1W0SHU9XK4tHI+HA6Lc69nWq3WmVXQRy1v2fl517veFV/+8pdjd3c3/st/+S/xiU98Ij7/+c//qRp/1PJjP/Zj8SM/8iPl/729vbhx40ZEnApUBpQi8kMHPCLBQoUrhqQjoYgOn3GjQqXjjFqrnX5/QApXgqkfMRcVHo2A6pWh5BgZpahy3NzhceBBQEhnUQY+W7nywvHy7+w5GiFdcweGRsej1IoUaKw+r3ToWL/edaeFvOAKmUqGINHr5riZDshn2Z7eIQCnA8/xUEkS+GTRUF6nA6kiB0w8IbrX6/Wi1BmR9c3Q4l2lEHl00SNlGo9WTKTkHNRpnJw/Ah+NgY6LQAZBissCo7x0eDS+Wq02Ang5fwJRy8vLcXBwUFYMOGb1iSfQiW96vd4IjWkkOce8T1pwnqnzMkdBwF3jEg1Eaz1LRy2TYwc55CXqJuaHc58ZaZKdJkXwnwFP9YFpSnJABXK5GsMUKo754OCgPHt0dBTb29vR6XTilVdeiYWFhbh06VJcuXIlLl++HBMTE9FqtaLT6ZSx+eov6SEnSPKh+Ravzc/Pxwc/+MF43/veF5ubm/H666/Ha6+9Fg8ePBgx5sPhcOTULTqqEaenXJJuTHtzgCuaOB9xDlg4v9IL5E3avIiT1EHqmIODg9IP2ki1qUCaBx/IZx5gUV2M8Eo/6jfrUZ+1D0NRZ50Sx8AD9Rn1k5yNbNVc/O2yQb05NzdXZEyAXCCR6Z96V3vSvF32jQ4enUPqCq16+Oos2/LvUwnAN5vN4iwSg2gPEfU5MZev9lBHi26aNwUYREfZBrf3qkeyK9qIH8Qnbi84f5Ij7hWifZIzLKdFKxCeHk8acIx0bJV66wEg0Y14wfWpdFMmvwxKcA4yPMXguEq9Xo/Z2dm4cOFCLC4uFj5RPXt7e/Haa6/F/fv3i57b3t6O1157LRYXF+Pw8DA6nU5x5hcXF+PixYvl2bW1tbh9+3ZZEdzZ2Yn9/f2IiHKa4RtvvBFHR0fx5JNPlmvHx8dlj9bk5GSsrKzE4eFhbG9vx/7+flldkv3UCpTkV6e9Srb4yQDqgIeVt+z8TE5OxlNPPRURER/60IfiD/7gD+Jf/+t/HX/9r//1ODw8jJ2dnZHVn/v378fly5cjIuLy5cvx+7//+yP13b9/v9yrKmLUrDAy7d4vgSOVNpmEwEGMSiBGY6EJ8CiZE7sq0kYAzEgeQR43chMsVzG+gyQfD9tVvb4crvql9Bwk631958IdG4J8Hy9/a4z8rUIlqb+Z4iEHiY4Xx6g61VcXBCpAGlgZEecP0kAREkYAqUQywM4xCkRV0Y5KT+CJ4+QKhmjjH3N0h4qGIzMs7gDTKKktRub0nMAGx5hFnDR/Pj9SfgKu7kgT8HpwQPW6IWEKBCPdKnTC9Jxo5HvHpEvo+Ot9yWy73S68yTGMjY2VFBenhfrm9HYwGHEKkGiYKbe+J4gGkxFDriJpPnRykejAvmRBIdFI73vhvKs+PwZf9dMhZTsE6w4mPY+fwJD9ZlBI88wUp2azWZwmATw5y61WK954442YmZmJixcvxhNPPBGPP/54XL16Nfr9folYenBA9OZpVIyOam4UGBgbG4vr16/HY489Fh/+8IfLUbKvvfZarK+vx+7ubtTr9WLrtHIqesiZ1ZgYhNCKF/fCiDauz3mf+ouZB/V6fWRVgmBQhZvrNXbaROo36jHRUdddBsVLTCejLnHgzeCXxif6a6VV74keXA2gY5EFJdRP6kXabGIGjVttKXLNVWS1MRicfCtld3e3HKvNU8l8k7/G5rZM15WCxBVWBrfEq67vxDfUz3IuSHMGr0hL3qc+cF7zU9MynSve5oE82pMSMRqQpN1x+upD2n4kecQJmOZKhniUWQLMdpGDogAYMwAODg6i1WqVfYfOIwxsiB7iWbZH3e287oUOptqRHqVtGAwGsbe3FxcvXix6SDTc2dmJN998M7a3t8uqpT7G++qrrxa+GBsbK6fDra6uxqVLl6JWO9nj+NWvfjVarVbMzs4WvltcXIzj4+OyAjQcDuPBgwfR7/fLN4CEISRb1GsRp+mVDDSo3xqv7KzLw6M6PhH/H3znR9GND33oQzExMRH/43/8j/jYxz4WEREvvvhi3L59O5577rmIiHjuuefip37qp2J9fT0uXrwYERG//uu/HvPz8/HMM8/8qdp3b5fRCRpSCmREnFEeVPr02JljyKVPgkcqKDoaNAw0Bt4PgrhsAv29LCqg375xN+Lspng3IgRqWVuZQXMDSnAZMeqIZIJPA0Aa6j6VnIB8Fu1WX3u93kgeMdukstA1pimIRhQgAS2CfbUrOjO6K7o6eCetnE/9GvtO504Gi0CSz2W50mxH41AfSX/SjM4WeYSRLDkB3OOSGSOCPz1DepKOPr/kMxkhgl0ZDgYG6ARonASsVRtbRR8BOdGCIFl1MhVJc0L6esBE9RN0ev/E+4rCeiRfOkcAxdP41L6ebTQaI9FHyoreJ7+6PiLN+I74XSkImkMa3yz4QF53I8VgggqdYM1zt9stvOKnm6l+0lH1ezBGjoUM9f7+fpnzqamp6HQ68dJLL8Urr7wSc3Nzce3atXjqqadidXX1zLcy9E6j0SigUrxNmRgOhzEzMzOiT7RP5saNG3Hjxo1473vfW6Kot27dijfeeCMODw9jdnZ2hGcE2iJOU3ciTg+aULqPov+KrLqOJ6DKdLR4nTR2XiNtM4eWcscAhuZWvEVng21oXjxwQxpT7mmXBT6lV6RHxDviMd0bDAbR6XRGAhKSb6aPCqgpwMKxkQZclVJUX9ddT2hV5/j45OOpcpZ4EqHkjIBUc8h0fwZJ5IxQj0guaAP6/ZMTvqiTpRvclknGpqenC9978CortJfkGcosbSQB/NTUVKERbQZ1kHiNThsDBD4/dBJEZ8d/7JN088HBQbTb7djb2yu8oJMBpZt4FDRXaik76isDJrRXek7OA/EoaaNr/F/2nEGGjY2NODw8jAsXLsTBwUHcvn071tfXY39/v8yj+qE56Pf75WRCXZcu0dwpvW04HJa/W61W2edGp3VraytarVY89thjcfXq1cIHBwcHsbu7Gzs7O9FutwstPcAn+VYAUgEtnVrnfsCjlLfk/PzYj/1YfPd3f3c89thjsb+/H5/5zGfic5/7XPzqr/5qLCwsxN/+2387fuRHfiSWl5djfn4+fuiHfiiee+65+NZv/daIiPiu7/queOaZZ+IHfuAH4md+5mdibW0tfvzHfzw+9alPVa7sPKzQ0GTRzmwZ0YlEZZQpCHcy3JkSc7oR0D0XPPdS3THJfjhegn53hBixcKWn572fqosrGD4GCgHvk54EVk5vB8IEB4y0qTDiyEi9aKD+SlEJfOgZtcFrnMOsUNG4g8dIvJQbjbyezRwdKVfNHfuh/ot+fM9TeAigSLMsUiQDyrHTSLnTzr4q0u7f7GFkhhFHtcs5HAwG0e12z8iVA2E966uQjFjyWUbsaaRkrAmoZRzUFwdkjCozes50k/Hx8eJ4iCcENtV37vMRLVzOqU90jelh1CkyXrw+PT0dMzMzJVWQPEsnmP0hj3kKAfWAR89obCNi5FQqGR/pIPIj3xWfyYhzdUTAl+BKPEeaqCj6SODNFBd+k4XpTdRnmj93yhTVVcoQrz148CBeeeWVsn9HH1SdmZkpYHVvb2/EQWfkXn3VChSDAHQGZmdn45u+6Zvi6aefjk6nE+vr63Hr1q149dVXY2dnp8iH0qnkmAt4yDlsNpsFsIgGeo6rityjRR1GIMj74iHxC1du6SQRpMjB43wy2KLnpN/Itx78kexwtVWnyukZ0dr1jGQ8c1giTvdMMe1cqwIzMzMj+ln1KkjR6XSKQ02MIWeYe7ioG9rt9sh+qpmZmRGcQV6WHFP/uiPt9lW8LpvBIBr1HgudBA/YiVaeIi2empiYKKl7mkfNO+VcdRCvUZcw+EZaKjjlNkP167dWZaQ/5XhKLkkrpnWOj4+Xo9kPDg7KwRQeTGw0GiOpe7Q9mkvyrxwkny8PDkk/kH612snqCg+ZcEziWIPOk+ZdH+Xd2dmJjY2NGAxOVhuHw5MDCnhABud6cnKyBFpEt2azWfhZ3zcbDAYlE0Lj393djePj41hYWCiyFRFlVWlvby8ajUb5ULl0tlZp6RQ7PhQf7+zsFB1MmlKGHlbekvOzvr4eH//4x+PevXuxsLAQ73vf++JXf/VX4y/+xb8YERH/8l/+y6jX6/Gxj31s5COnKmNjY/HZz342PvnJT8Zzzz0XzWYzPvGJT8RP/uRPvpVujBQaNEaCPAJLQXPgz4gvGYFFyikjMBmefxNQqC9Z5JdKnsaGDo47Gv6MntPxgQSDEZEqPNJHQCZzuNR21h8+48C+ikY0Phn4c+UrhZ2NmYCNhtn7xXnIaMuVBzq5jGp7SqI7oB5pp3ObAX9GvdQH1q162B+fNxoLgVyN050+Op2iva9qUXa4ukFHWM9kQQTVJXp45NfnQP9rnBwjlbE74JRn8pKfBuP9Ub+VxyznRw4NHWoZUn3HRHUwtagq2kTnSLRhoIbOMHmJqZ6cFzqbkmVGDn0Tr4MQrdTxVC0CcDrQbI/HvJIPZOzIT5Qz0p2pRWqbAEKgRXQXeKPTQICoXG+CfOo7ghwPVKlNlwM5CGNjJ6mLWiXo9Xqxvb0d7XY77t69W3Lor1y5EpcuXYrV1dVotVrRarVib28v6vX6yNHZ2hNGACpQrfmhfCit/Kmnnor9/f24f/9+3L59O15++eXY3NwszuvExMlHBAmIDw8PS849HUSBNjmK3C8lR46Ak3STfs7sgvbVKG1Fz4q3xVvUe7QT1IN6jqCW+kt87/bT2+AKBfnBdal4WKBLDjltmxwcfd9JjieDQhGne7HcJnBeqQeWl5cLOGfARbJJufHAggeJBoNBccIY5KATqPcddDsuyWTFn3Xwzn1KMzMzRR4l/7yv1DDxPvflaFwO5CWrOiFPvDwxMVEOj6BzK7kWphDvME1qOByOHNShE/gUpFEgnrqXtsrniLiKKZFa+eO4KEMeHGMRf2mvIoPYtH2UncxOa/9MvV4fOXxHOFH7HBcWFkYCjJ1OZ2TvoeZOAajHHnssVlZWysp8v3/yAVQe669TMKUXNjY2yqrT/Pz8CG7iaitxuejCgKL6I5q4U/moDtD/9nd+/v9R+J2fq1evxuc+97n4+Mc/Hk888USaduBOg18jABWzu+JgNJFMljkmzoAOXp1pCfzcwOh5/mSRWhWm+9HoRIwexKDrFGoJsRQOo0cZDVk4ZoJz0oppDD4mMjsjKarDVxpIR9KOxoZ10Wh6//meOz8RMQIoSR/Vw1Ql9ctpQ6eIjo+DSEa7ZCTc2eO8EeyJZm743EHUmKlkHBwo2kYH3cEt6yKdxWeMnLEe5xV3tNUPPu/yIaDiAQdG2Or1etkvyLx/ARMpc11j9Fj944of08YI8FlHrVYrqRDkSQdyThNPs6ARV5qhnqNTI/7k9w84D4wg02hIjzkwE3iULOia+k8dwTmSU6jxCaAQIHBVhP2ncc9oqndYp1Y9qCtovJmWx3ukv9oTDRgAEEDSfe0hENBaWFiIJ598Mm7cuBHvfOc7Y2lpqRyUoA/5CcxSJ3IeeSyuoqa0PRrz8fFx7O7uxt27d+Pll1+OW7duxebmZvT7/Zifny9zL14hzcbGxmJmZqas2lHHCYC6E65UEqVDkbc5luFwOALaNc/iJ+ou8j9tquaDq2YEpg7qyD+qSzIgR51j0fyTb8inlFMGniQjcrQ1R1pNZwo8AT5l0leZaIcZqBDdNF90CHVfK59TU1MjASraRvK26xi3374qRftGHEQakn8z55jzo0LA6nqHq4ZZoX3kQQ2aI+kDD7ZkOjniNJAjJ5bBFdKORQ5c5ryIRnSGmTnBlS+fU+c7FrfRslWyVyzkL9pC/egjpIPBoBxQor4tLy/H448/HnNzcyWopH5pnyJpV6vVyqE9kgGNmTSkfmda/d27d+O1116LwWBQPhRMmhDjcbXLZVM2dnJyMl544YX4D//hP8RHPvKRePDgQXn2/6ff+fk/qXiEkZE2lodFN1SkQKkQHHRWedq8p+vuHFF5OOM7yMvuuwGiUvMxUvjJTO4M6L63QW/anTtXqhqXO4Zsxx0ROjkEiTRwZPwq503Ro4xOGdjMCgWYYIhOWOYQKlLkiodjpJKUc6Ax0thGjH7Q1B0x5z29q+syDjIanDOuLKlORYfJL4x4cb7Jc5ov8Y0bEdYjGhBIiwbsH/mJzqV+e+SXbbH/qoNgTGCT4MC/ts4VEs2B8pap0DkXGreAG+vnePktCII+jZmAzB1AOXECrO7IUfcpMkejIt1E4KG26NjTqHG8aodgyfWGnDLxuZwdGkjKLyPY7K/mMlu5F53q9frI6glTEkl3BpXII5Qvn0vKhwxst9stNJ6cnIy5ubmIiHjppZfiK1/5Snz961+P1dXVuHbtWly8eDEuXLgQjUYjOp1O7O/vF9Asp5BjUh8ExATS6aAMh8NYWFiI5eXleOaZZ2Jvby9effXVePPNN+PFF18sqW3NZjMWFhbKSUiSGX1sVXNIB0FATbQV2B8Oh8VR5jzQfoh/NddanZM8aYx0CjwYwlVBAm23m27nVAgOeSqXeFCpTwRT1LMZMOW+tojTAzwYJCHmGB8fLzxB50pz6+l4DKYwU0X1eVBAp0wS/BO4U/+qfgfaoq/qdieGcqyxOo/KGWEgSHqVskY7TEfHcYp+M1Dpcyv+USCOek5OMu0d9wTKXqjf5CEGbzSnGW6jDRS/eGA44nRvEvstG6NCgJ8FEzlv7kCS/6jr6AAT32ic09PTJc1Szx0fn3zz59KlS9FsNss3kiiXSu0UfXTYlWinsXS73RJ8Gw6HI6dvKr326Ogo9vf3Y3Nzs6RPa6VNsuIOO+eChUEPygEXGR61vO2dHxlwKQoRw4VJiiNi1PBGnI1g0/hyAtwBoFLmBDiId8Xtjov/T0PNd6qAnl/jmB3IZuPnbyocKVJ3xDLgqd/nMaD30R2zLLLB8VXV7X2mwqMx8b5wCd6Vs55RlMiNJulD8OV98nG4sVJdXLpl4TzRQWJ9ntoRMepIqh71nfOsaI+KgEcVvalgyRMOVikH7AcdcEUzPUInpUbDK+OmuXIwIbqqf4ykewBDvKKcZgfbHjig0VJaFvnDI1VyABS9JiggAKEcOK1oCPksV0g0n7rf7/cLuM7orkipF7VTBVBIe+orN8IzMzMjBlZzS+eI4EM/ApsOlN2hiThNMWIqisAljT7nXyBNY9X7mSOm+SF/cz+q9EWtVitHBL/xxhtx//79uHXrViwvL8fFixfj6tWrcePGjbh27Vr0er0CxHmMqxwLti2aq4/iGR1DPBgMYnZ2Nj74wQ/G+9///vjwhz8c6+vr8frrr8e9e/ei1WqNzBGDLZpj8jZz7BuNxsjeDek1OkAOCNWG+I0BNDkenFMGMDT35GXKAe0X+VirWdRjnFvRSGPgKgPtuvrKa+r32NhYcX55pPHc3FwZF1OuBPyUwumOFZ0POT0MDnD1QLzM095EKw9gaa6kS32PkesR/U09LJrJzjEYqX5ofL6K7mBU/fRMBgZPiCeY2ufOqRzyo6OjskIpZ9JT01QYRNI+IaWa0h5QNx8dHUW73T7ziYOq4BzxxHA4LKcyepYG5ZuBRtGUp9PRRhBXVmFB8gmf9WfkhDCAp3769+p0YMHu7m5Je9MJcPV6Pa5duxZPPvlkjI+PR6fTia9+9aslzVbzqQAMVwvV1s7OTsFlkin1VdeJKRwzM8jIe9QTb8UBets7PxGn4IURCBUCY/2fgS33wr1+1kfmc7BKD1b/05CSKb0uAjrWR6Po/XOwkjk1XuhQZM4THUUa56rizpHqYd+zSAr7r98cqxQFDbVHOVRcwVPx+BI3gSjbk2KUQmIklvT1aA1TjdRnjtHTEtQ+I1I+73qHKUsC9d53B+dqm8aMCobggvPgQIxjcP5wJ8rHKZDI8WSONOfcnRPKDOeDTq3ad/5UlH52drZEhPm9DZ6QRLqxT4xEkW/9WTmRoqs21zJFThtX5awSLGTyxbmQYdWYND5P/ZKDwbo0/1lkzGWfc0wnnR+IVLtMLdM8cFMy0x08Sklgq7ERcHFu1Q85du4oce58ZU7009jdyef8CTiKVwRSlRtPgEZaj42NjeSvb25uxvr6erzwwgtx6dKl4gRduHAhlpeXR5x+0ZrAz+el0+mMOIXD4XBkv9rExEQ8/vjjcenSpbh//348ePAgdnd3Y21tLTY2NgqY0vwycCFHXnTzFFzyJfU0ATxlVrKluVdd9frpsb7u6LuuIeD04JGuua6lk6v+aVO10hXr9Xp0u93Y398vKwmSDXdCI06dEb2v75IoYq22p6amot1uR6/XK3ugpGMzHUpHSCt04mE5TdIbPBqfASA6o6SVVkIoz8JF6gf1ga+AUWdoHCxaIeApg+4QDIfDcnKeAhNctXaZFE38ZDTOhWyBnvFVPK0KeXqw6hgMBmUFVnPLFSMGhaTXOCcanwf3OK/Hx8clkMhUUNFb41SgZmJiohy0kgW+RAv/0X3VzVVG0lN/Hx8fx8zMzMhJoeLP9fX1woO7u7uxv78/cqDN0dFR2b/YarVibW0tHnvsseK86LAXzZFSa+/fv19ozQO46NhmgYcsiKzCQBXl1jNE3kp52zs/NKBMZ3AjG3E215tAjIo0Y0YKkx/555FlHqlJsOjOAd/zyJmDYS8eNXHhEG0IelUy59BBigM8vpcZMF3357NIigNdNw50Thh9klHwVSm1zag4gSeN9HnGVgZB+fMSSC7zOiBwRat6OA+iky950zmgUVIRuGG0ih/vo6JgREQA2JW1GzvfZ6E+Z84ReYNGXHUpkuUKnO/RQPK6z7k7tqSbnAjNjQyeCsesD5FOTU2NbMQcDAYjUWnJkuhEw+bKmbn5ntevH0WOebiA5lPzUCUrohn7onnivHOlinRj5F000xzR+LksUO+wTZXBYDCSX1+vn6ZwSf8ykkg+kZMgAKc5YFpF5ggyEq62dPDEeTqEwSzNu58ORmAu3iQYFS3oIIteAsHSFe5U6p07d+7EvXv34otf/GIsLCzE5cuX4+rVq3H16tVYWVkpqUziUxWCM/K2+iT5kW6o108+Zjg3NxdPPvlkdDqdePDgQTx48CDefPPN8hV1OhCUTaXmkBeqdJfzLGnv+pdpt3TgVMbGxgr4E0/rx3UX7anqz5x80kaOouaa32KRvaDjw/RErtQNBid7FLTqIcdocnIyFhYWYmlpKbrd7sjJWbQxTM0cHx+P6enpEf1CniHPeiCAgQLaGDmbfmIuaSraEwTTzutvDyhy/prNZqmD8sf+OR9ExJkPFFcFMDnPnH/aadGvXq+X08IODw+LgzszM1NoyRP1hsNhWYFl8Ekn+4l2opfbeOJK9VV9FF1EGz0n/TA9PV1kWqfIqW6XIQZuIvIUeMcsKlxVVeGJrzrIRYG6TqdT9idKHiYmTr431Ww2o9vtxu7ubhwdHcXMzEwsLi6OHO1fr58cJKEAzerqaoyNjcXW1lYJMDAbS3pGATX2nfzkYyAWk9yLdtJ/3JrwqOUbwvkREWRQuUJAwEVl4IxEISRIzIpvcKfB7fdPN526oGjSnKEJAFkyZ4kKJOLssrau6Rmu4LiTkglVFpkh/bK/qcQYZSQTuxOktpmywjnSNc0H2yG9OZdueAjA9E7mOKmwDxyDA3FGLMV7EaPRZLWld0lrvePXXOnrPTpkdPRJP41XBp3jiBiNaLnREY3FN+yTR5u8b7rPJWvV7fTg3KoNKkCC08zBEz93Op2RvSQan2jKSL9+BHhqtdqIEhbo5d4AGmjOIZU2l+m90LFlRFHt03iQ7jTKpDWdITozyq+m46KVCjpEPhbqRQEp1y9+RC2BkMZIOVA/uKmewFI8xvlnv+mUKHLKCKwKQRN1DmWcfKR+cTwaC/WG+qw50fyqHwK81D96hx+sZkRdtD4+Pjmw4NVXX43h8GQvzeXLl+PmzZvx2GOPxerqauFJBhCYXqlC/UE6U19PTEzEyspKTE9Px+zsbOzu7pavp2uFgvRQOphWHuSQCFjreyZcldB7rkfYV+5xoxyL93zllrqWzjkBoXQc7Rp5RHIh2fa0Ih6aQdvA+Zau1X3JFYFWv98vJ/xRhrQywnHwOG2lWEl2qaf4zRiOuVarjaR+CWRL/ijjzWbzDK/SLoyNnZwAxs3trsME1P0691eIXqKP7hHfUFepfwSstO+epqxn1X85cEdHR+Wjokp9lFNB+8JUdtVBXUknV7R1fET9rEJ+l/5XgHRycrI4XxqDnGfRTLqVdtaDpXJYpI9UFw/5UT8VGNL+PK1W612mivMwMH4vR3To9XqxvLwcTz75ZCwsLMTh4WE8//zzsb6+Xj4FoP7wkJrDw8O4du1avPvd745arRatVitefvnl8j0k2j2nMfWWxkaswHmT/vHTFjlfro/OK29750eFgkqFS4+QSlclA/uMZLGIIemUOMhnyaLX3t/MyfC2CNz5jZHMKBLAqF1FF8lQBCVUVAKPWWTBoyBsn/SlM+VOHsdFwOXghf2igyF6aG4cyHBOM5qyjzSKBKxVziH/Js04LiprjSdzlt0xoIHg/Gs85BW+q+gqU354bCQNAfdcEFSIT9zpYxoJV4sEUAn+HWyTX9yJ5dxwlUp0dIBOuaRTT6dAPELATHAtvhedFSip1+vRbDZjbm5u5COSMh5U3D6HrnN0TasMjDJTqWvONEZdY9SX8kDwTWe4Xq+PrHzJ0PmGa+o0GVb1R0aPaaGiH+XI+VL9VxsytNr4SzoTHHKPAAGa5o7zxrqrxiS+58ckqd/oVGWFOlD0JX9wfqg7tWojHpasaNySDTkj4+PjBdz2er145ZVX4mtf+1o0Go24fv16PPXUU/HEE0+UwxIajcaI88TVO9Jde1JarVbhBaV3Kh1LfeMGZDpP1NOaG618iK+oU9Q2eULvMcAlsC4HKrN1oq/qYLRYY6bOYj/FM5oP2noCQAJ0Bq/o9Gu8rVZrpD7Ji8YtO1qv10sqHMG6p+JQh8vZ0cpPRguNi3qbDhFXExS40TMTExPlQ5Gqlx+kFv9qLxPpwVUv6SXaM5cTrqpwNVcb3+Usag8ZD8EgVnEHjk4C8RPvcQWLq+JyYthvZQp4Kq34X/RQf3ylbTAYlFWliNFArH48rZh6fWxsbOQ7OKKZZEQyo9++P0fOk3iLulK2UwELOSdyzjWGqampaDab5TATHuRBOZuZmYmrV68W3tJqqVKeFTCZmJgoTr/eW1paitnZ2Tg8PIzFxcV473vfG88//3y0Wq2RY+Ll5CpV0XEI5ZwBYvG3VqaU0ZHJ2qOWt73zQw9XkSt3YiLOfggq4jSSSmPK9zIHgUpKz1CJsW1OapWDpLod6FX9XbWSwDHqmoSP4JURqYjTyC+Fl4JPIE+wmTGbhNojumrPDR1pWuUo8hnOCyN9FKIqp4fKUO8RYLOwbhpzAn31y6M2oo+DO/XB544AjSCEzqveJwBToYPhjodWGKio1X/VJTA0GAxG0pYiTqNj6qt+6HhmfE868Df5jLyo8dL54cZe52eNT3XrmjvYalfjY3SW9GIUlNEj0pm5ywTwHLP6srS0VL5hEREj+3QUVfXVF7VB2aFDSmBHveXKnwBeBoyOKVcpZEyy46PJM5or8Z7qFE1Uv/YEUCd7UMLrdZBFunAFXhFVX40Tf2e6z3mZDrcDfvKsO57kRUa9RXeu6pGHJFuM5HI8c3NzcXR0FHfu3InXXnstxsfHY3FxMa5fvx7Xr1+P1dXV8nFbfnRwbOzkCOb9/f3odDrlo4xawdR3h3iKk6c6CoATSCmdSXy8sLAwMk8C4wR9khEPqEVEzMzMlFUmyZhAYESM8CKdcY1R+okOjOisvtIp01g8/VbzzmAXASgDR5It/46UZF1HgFOHUPbpFKoNOkh0jpkyS5lVwEBFfSQWUb3EGXS69b/bbJcT0ViOlOSceoP2x+WXgZmIiHa7PUJrOd1+Yp764LJHWmrs+uFKJw9ViIgCpkU/rTrqPTlloguDnWpTDqDa1bh07LPaZToz9bGK+EXtzM/Pj8iQ6wpfLdbBJqqfOlhyIBnxZ8jvojftjeOmycnJcv/y5cuxuLhY5Ofg4CC2t7ej2+0Wp0OpmRFRnOrBYFDmXc7e4uJiPPHEE/H888+XtqTv5IwSVzpu45gpM5IxBdn+r3Z+Is6mOUWcpsGwiOkI9L2ISQmC6MwQVLFtd0Jc2WQTzHo44SrnvZM5Ipp8RQT0Q4HxQoNCsEtgopI5aO61MyLsDhoBAxU+2yDYVX10cDJgw2cJoL0PdByoKDkOGg8adoIygruIGHEaWF+V80uaZzTwttV3Ru9Yl5R2RjcCdf3P0+vkEKiPjJZ5RJMgg3Pic6p++OqQ+u0RHfWPwMcdRucPygkdBBkvpvjJ6Ljcq28Ew5l+yJSxK2+NSzwiIynwR7p4UIHgVACDKzrUa1z+p3Okezxa1Vc5RWdepyFmuiQdANZHPmQwiPOhPjuvcjwauxwDtZWBg4gY2YvjbdVqtWg2m6lcedCH8yg5Fs9nTlGtVhuJDBNckR8lG3QI1L6i8eSTiCibwZvNZtRqtfKR0i9+8Yvxla98JWZnZ2NpaSmWlpZibm5uxPi32+3Y2toq/OV7Z5rNZiwtLRVgI5BKGdP4mHJEmjjvsPiqpfME6Uy9xJVJveugh3NNJyGrU8EIOu5K/yFwV/Hgi2RJfzs4pHMgGvJERfFzrVZL5U20kg5w26dC51o00QoP6/BVEQ9ISJ+RHtSXdD49q4Mn4zFFSiBTToC3q/r5AVi1K3lWKqGvXLLQBtDJoE4lv2r/q1YwpMOkm9UGg0viLzmYDFRQ7/P9LHODtOPHWqn3iD+5T5zOMGnvNKGdlc3gvPN5jlP3yedcxZXMUNddvnw5VlZWCg92Op24c+dOWbUSfTUvWtU9Pj45NrvVasUf//Efx82bN6PZbMbW1lYsLy/H008/HXfu3CmrNZo70dFxqmRB96lvj4+PR1JFfU7eavmGcH7IVBIe/abiJXikUuRvKX8xm5/kRUXiRjLibN43lR1/655PvDs67sln4J+KVAAiK+yXGxwpJSrRKqDLdkWniDhDFwqXhEptq2724TzHhvNGJSCa638HRqSNjCbrlsJQ24w2O1CgotQ79Xq9pKiIhu50u6PKvrB/mUCTfh698X4zQqo+0Alw2nnk0PvM5zgXuu99c5DpjqfzPQt5zAGY00RzUhUsUBucJxkbRowI2klf/x4QZZTAWbzPqKbqZASRAIR9Yl8FOpiu4M6GjLzGznQrGQVF1lS/5o6RbbWp40Y1VzoYwleL+I6De64G0HGk4SJop7Pvhp58RmfbnyHf8mhhyqz4Qb8zmeR96W2unOlH6Rocg4r0mvOr/tf3b/jhTs0fV5X6/ZOUZh0VK7rq0ALxgniXK1CZ86mN3JpD0odjVJ1KicscBtHenQXJCVOmBOQEMsUXuk87SPBMG0InioX2yx1/zYWuS/70DJ0d6mM6DNLh1KeK/Kuv4nnRjTLGfX567v9t71xjK7uuOr7utcePa4/H8/I80s4k0IEQ0kQhocNQEB8yooSIlxCqqiCllIdSpiKVKtQCgvAFUgkJCRAK4pUiFRFRREKBtiEkaaAoTUhIaNKiSUKGJEon4xlP7PHz+nE3H6z/8e/+Z1+PJ23semYvybJ97zl7r73W2mv919r77MM5T/vhd9QB5cMETveLfxWn5IOkg66urgqouk9m0k4ALLlqGxH9nuyY/otyVJ+cs7R1Yahms1mNLyLO8yO61pNC2bhvK5WcuHLJ7Wecu3Nzc+cdKy6/xFigVRImvjy10ouJml+SEf0uY+Ps7GxboVHzjLG6U2yUjOhXeZ376Bw20HwhPhF/XV1dsXfv3ti7d2/U6/Vq5fj06dPx5ptvVjxILpKzfK/sZ2lp+YTFV199NXbt2hXDw8NRr9dj586d1WlyxCpuZ7QD/5tEXO7b+HN+azW6JJIfkoyFW3NWyxJzwnKQKIETzK1FyNwLS6ehfr0NB4nq2/lyQOJJHP92R+b9si05EsqN9+een/KKuYIPE0w6LU/2yIePi9d4lYrXMwHzgCg9Ohh3YlsR7e88IXAkGHY5c08ux+1VVOqLsvAkUgGMzl78qH8H3gRtdNbkkYCdyRifn9DyNvXOYE2n1SkoecLFvhm03B69cEGZU/YO+DjPXL6SrZIbrvpIFgI4LAQ4qI+INuChcWv7GE9A01xi5dr9kY+LdtfV1ZXdZsEqrhcRaGcMCLqPq4QCqtIVA6zGyt8CB7RTjYl9CDQwuHvSxqKK+yXKh5/TptQXj7Fn8klgTQBFfap97oHXypnAuxd0uErCJIyy5rwjuBEo5zZIL0CIRxVV+OC5g38P/g7YZ2Zmqusle/InngT42Y4DMCZ4ilFe3CIP0gGTY9o07Vg2QR5YsBC/TPokA/FHX0n/wTjm84E+nVu6xLv0xfm2devWtmPtlTTQ7zOxYzKjH4Ju6VyrOvQLtCPO6ZzOW61W26lqutaLAXyJrftHjoGkaz2p89Xn3t7eaqWRhTj1w9UZYgnOe66QqB9vS3bb1dXVtqIpX06/yQKRCkO9vb1tW/X8xEaPK+JJK1vESLVarXqdgj9DpUKSTniTzGTrjAWOSWV7tFnqxhNg2hfHIF/DNhifBwcHY8+ePdWpbTqqf2ZmJmq15RV1xa++vr7K9mdnZyt5y0f19PTE2bNnY2pqKg4dOlQdk33w4MF44YUXolarVYURx3PUs2TA+Z3DCI4dLpY2ffJDZ6b/CcwYyEk0FjrwXIXQ76ejJB8iPlDKRImZr/fjjpnfO8DOKZx8coWFlQE6zhz/TBQYAMSznJc7dlGuAulJlwKDA1QmPi5r9UneOmX8HrQpbx+Xyz4nbwYEyoK60hIwgYbacfCU6y9X/WASz+/Iy2oyFh8CILJHOU2uKqg/JQHUp2Qv+SvwkEfKTTzK1uh0+UA7daa+GCgdgPkcJ3ly43bogWZubq56cVuuUsZkg/pT0OCpNyJW81Sxld2xChpx/qo0g6/aUJsEqZSvAizBT25VkIlrSu3v4vEgQrl6QsXv1Y/bpoAPgxkTBfHEICxyfbuOCUB5UlOz2azkrftyVVKOg+PT3wSCXDHR/NbR1noQnj5I9u7Ag8UutyHantuREkjKUUUJJe++CiVZUHbuV2lv3CLjANRt0FdZPJYsLa28I4jVb8ZJ3U+ZsEBGoKv+6SvUj2TnvoN9yr+5PyTQXM2HCCgLpNXr9bbVDLWvH8pL8nTfwnngOklp5dh+zmmuFuhaj2XiV+MUjw6cRdqKK1nRr0esrC5RT0okCMr5HBTH7LYmnWp1lnMkJxPxxZVE8cZTIFk02LJlSwwMDLTZl1Y+NWc5lxgXiUk0NspctkDfwK2BKS0fGd1oNKrDARgHdBCBZCQSn7JnyZzziLYp0tg1B9z2GC9qtVrbkfn+LNyWLVti165dUa/XY2JiIs6ePRujo6OxtLRUyWxwcDBGRkZifn4+Go1GdHUtb63WC0s5H2ZmZqrnu15++eXYvXt3jIyMxPDwcFx55ZVx4sSJtkKQ7IOyJtbguHKFaMnU5/laadMnPxHtAS23skIQz+980jl5xShipQLqfes7GiMzUyZlne6h4+d1rnDnlTzKYTOpiGjffsP2OQk5ZgUdTX5NeIEeVq7o1GiI7ggdhOSAlQdsVZHFK7clUA4OdtkuqwmsNvtY2RYdIIngXmNglZuVNlbAmax5W54wcjwORihv2qLbHsfu4J/2wH78mlwFODcW327AKi1twXXOiiufR1BfXDGhnDwxIa8KbpIR56ru4/z0vdbi2W2DsnLelVgKVDBQ6kFbr9RTR5IlfRJ5dyBFXVHHTHYIoGg33MbrffNv2j51SFmwGKHf9Cccq3ihLXrVkrbH8VFOqr7yZCMFeY3fbc9l6fIToFH7fJ5L1X4+uyDeuUpDe+RYZdv0Ow4MmUxRh/K5qtYruazVlhN0vXyTW4jUj+Ss5/dqtVpbZVq6ps71v48nFxvJp8fT3NYp+m62LzvlCYFqU7FG4FD8c/sgt0YSSHPFhjam+wi83C+pTU8olZDK1jQOriJozD4Wyk16jVg5SIXJgSdVjJ/090tLS9XD8VppkKzFo2/bEniV3Ck32bPANxMPj4WSB+dURFTPW/EUOtlyLg57AqWx+jYx+iBf/eMqu6/oyo6kc11PXOH655yQvdG3aE550YTHked2yXj79BEsFLAQIGJBWzZH+/GCovh1f0AsOTAwEMPDw9FsNqv3gsm3iAet9OgFzTzyXUmd9O7FizfffLOyRR0DLh/I0zkdp9I2iVMpB1EOO62VNn3yI+EwmHqC4X8rQLOaqAnMoMk+SAwUvMaTkIh25fCzXDIjxUdE5Wg1eUX+MB/bdpBJB0Pyiq2oU/LFaon41PYXgmE5BrXNpIrjJE8OwpwvvrdJvHQCv6uRr8qIPHmg8yVgEXlSkgOfCmxePXfQSbm4vbmd0kbVJmXlJ7Ux0HsC6asZtAcPNJKFkhACCo2JfRIECPBERBtIYcBRP6ou8h4CDAdoAhjqj9Vfn3sMKrRlBynUP2VNmZMX7v/2xFGfc4Utx5f4V7DkSo1+Oz/Ue29vb7XlggGFY5YdELhLltoGojlN/Yn8b+lRlU1WG8mfy4yVQs5hyUngVrYmvhm0pWtuV2SxgtVc8uJjoG1xBUbFHj1MLQDJiq5AFEEs57au0/0C0twKRzunbrnaSj/Po2HpH2RD3H5FMM6EnKtybIfzmr6fyRnlq89Z5OC4mOTRngnopVf90N+J2K8SJG5f1Di15ZR6pA/xdmUT0oknxrqGeEBt0FfqOm2XpA/1B/ZlU0zqRJ3iucbB+Or+1a/nSrBsj1ujpTvpXXKlXasvjp0+yxNYtckVEq3QaD4xFlK2HpvEG0884zzNrQjRH1E+mhuMo4whLgv3z7IHrmbmYgZ5Fx/ER7JRFSwkEx6kwLnNuCNeJEvNKclbc5L+kfOKeIRzRzJ+/fXXq5Vt39HUarXizTffjMXFxRgZGYmhoaHqudOxsbFoNpvV3JMelARJNmNjY1VCqK10msec++qPq3Yk4iMlnTrd0hPztdKmT346EZMLkQPoXMafuy/Xdi5o6F46qYgVZeWWyP1/viC1k1Jl6ARGnXjOVTQY/CKizRnzek8G1KeqIQRQHDPBJWXFqjb5ZlXDA6EcxYV0Ip4dyOau8W0xObDWqQ1PnhgwfLWBKxAaJ+9ngHJdK5CpLXe4fL4o4vzDGHzVRvexQqTEh5UxBgzJnSs7lFFuCwb7ZHAW0KBjdv5lN+74IuK8ijsBtOyR88vtwBNPyp7VcE+ueZ2Ags95JkcMVjwBiHLhtioPwAQGLsOUUrWSRHnrbz1Lxb78uRLOL31G/bI9T1gJhiWLLVu2VFVe2hnHJ1nRTsmPg38mU9wCI3lQz5Itg7rGwD7dn3ZKlGhX+ozbU+gzFMgZvOk3Pfl2m1JbvkrGU6NUhWe7IiWsGiMLVAJdqt5yuwn9kANb8sv5rrHKxphguD9nYUG86KAREe1IMsglPmrfgRKBJk9TZKyhTRNI5goeEe3gWt+TD93HgwhY+NB9TLjq9eX3AfF5GYJhrm5rpUltcrVCY6C/1WqPdMHttmqX7ae0UiRzsM04zJVKPiPI4kjEytH8siHiFsVZ8ZLblUMdMOmWLog3JB/NDcpHyZZvrVNfngwzRrN/jUF2Irm7f/SVQ9ka4wP51rXaOsvthiyyiF+1x7kSsXKKr+Sq5In9SHayV/plxgzuVqAe+EySeJ2amqra0DuAtG1c8uQcYL+6lnbMeMU5qKSI2/MYB7g6KVnl5vNak6FLIvkhOCHI6QSYcwCHwYeG6M6WTs6BH6ufvIefeWDUdwzinXiho/Vgw+sd3DjY8LGJJ19dkLMhIFGfnuGLOBEdyGl8lA/1xPHkQI3aoFz1eW7/LuVCh0vA6WAmlwh1SqpyYHE1G2BwFh8EaTmbpRN0p86AFdHuBDgfcvZNPVNvtB06ZQdsdHoOeGjDvi2FvDgPTI7UJwMSt4h4IuYy9CDkIFzt6zPaC4OaQAblrbHTvsWjZOCJLhN6BTyCVfFOoE0b8AIBixVa8XHAyevULnkjUNQ91JW/5d1BIdtX0KIvdtmT2K/GLZsTNZvNatuRkgDyTTt2HVHmPuc4jzQ+7rWn7n0+c0sS5cAYoOs84RJP4lHbRnSSEtujD3X/Q+L2JF+1470ssLA4ldJyBVUgiM/t5PglcMolE5QBEyXx6sCR8mJ1Xs8HSh70OwJCnYpm7qt5r9sjt4txXmvsfKif/GuOqngyMzNTjVl8qOLNl8tqpVQydJ/v8dP9khfEmPRKrrQFzUlPPtw+GHOpj2az2ZYUUt9KRPQZV7lp7+KTz1Jq/Po7F7OJd3zV1IsIHIv0xYSF8z8X49kmbUD85XxYxMqzM64vzgd9Lx50yiYTMI3fV8DZrtrwBID+h/hO7TBxYKyS/VPnkpvsptFoVCuXY2Njbf7XC3TO7+LiYrXFUtdTxjo6Xe3Ix/D0TsnITzKUjmRTXpReC10SyU9Ee/XAnWXE+fuYvTJIIC2ikdDI1KaU6s7cJyWdNB20LzG7A/JJys/p9HiNy4RJja5xJ8gqCgG9r9RIFrlEk3wzWDvopswod4Jm8pNbPXFn4P3wfk8IcnbjP24DOdugHnIrFZSDJy38nzp0fTMIent0Zrnx0Badp1zfatOdqvPMzzmHGFBpH54sUB9yiL6vv9MpP7lVrk5OnHzpelanaDeuQ25RUhuUI32Ay5c+whM01w+BtI+V9s6VIgU19uUrjZKxgF1vb2/Fq0ClAx+CaCYPLif9zW2Wbt++nYPk814/3MImuajw4gmzzwf6Ff9xmasP3ke7oL6VlCghkH4ExjRW9xm55Et8kAetYPrpZ/TZ0jd9DeeR2uOqM/2yJ/K0d8msXl/ZVseCiXjhWNR2V9fysyPUk1fdNU7pjaT57n6D97ANbrGr1+uV/XmCoHYYcyPaX8AtOQgc6nrJg35GgFR8COwShJJ3zmf1zeOTWSyR/um33GZp5/KX9BOch3xWTD6IdiT+c/OCNkJcQL/M7V8iAnG1nQPutFfqSD5JiRRPouR2Lcdebifsh8//eOxm8hjRnpjk4mWOJCe1I//qSRb7pO4iVp7Z8eIXfQf70veSuftsx0i6nj6DGJLznLiZhQvGBtmUJ9c+V1hEUlFO99LHy05o4/Ijsgt9Tn1xLuZicA6ndaJNn/xwInvyQNDrFQXP8DkB9L/u9f6ojFygdYDrvJInAkEHu+SDk8EDHZM4Gg3vd375sC4nSEQ7+KOT4gsU1Z8Ddwd6zosnnJyAnYAOgzSXuiNWJhLfIaDvJU+XLXVIu8nJydvrlBBQzg5+fLmfbbq+c4DJAzzlxDY5DjpEnxO5JE/3C/zmwCP50zg9EBBIqFJM+VP2tBUmS+TbixYav/rgkd20HU/UfcwO5v2BXMqKwEC8us7k+GnT7k94qhttg79pjxwj5yyDulZnKXfJyH2A2magZF8EOpIdAZV49GIR/azGklvhzQGvnB0qKLKqpwomATLth0A0B7TpR3Irgfqcvp0rjLqfwM1tXzZL21WiJHLdpZSqLVAOUDROAXDqnnr1aruPnXwJiGgVImJl9YN78VNaqVBrbNwyxf51n89tgqdcXCYolp45bl1DmXgFm8S5QqDmRRh9r20/BHSMgzm70dYvzZfcnOwU+wks+bna6+3trfScey4uF2/q9ZVnP/iiW/pL2VdfX1/bC3GZzEnn3MI6MDBQvWSVryWgfasvyoW2zCSMtpErwGoM/F7Vfl3j/p1FIxaxuDIpPmQHLCCwbVIu7nCFQrbi+qbtMSET7ywwyeY0vz3xUV+yM+E98s+DBigz2rH7E/edasfbiFiJtXqXofpT3KGO5Xvlt4UXpVMvUHD+0Cd6HCR+EL+0f8fya02ANn3yE9Ee3HOVBgo+Is77X5/lwKkvnUa0rx45sHZn7e1GXPi5ok4OlGDBH7TliooDczpeAkF9x+VOfaYJpEnAAO5yZx8EXayqurw4YThxZMwEKL7SxInpEzknQ7bvkyY3Dg/u+s771jgYtNkHna+DvdXAn9sm5U3d5RJd33Kg36zQeODyYoAnC+THK8ielOWW8j3Jd/kRCCpJYMGCiYqu0Qv5FER0ChjJgSL79nmQk70cv7dBu+H1AmV+gAQBMq8nIOWb0fkcVm51jvfreFWOTSBQgZJBmoCZc5MHCOj4aPk/tcWqNmVEu/AA6HPVEwVSzm+J+FB2xEpiojFw9YH9SBf049Idr9Nn/JtJYe5ajw2MCznQJN0SvIhfbTF0u+cqmK7zwpn4ZJ+5MckecqBQyY74ZQyNWKlU00/ox1906X0zWXafxaST267FExPpnN2J1C4/ZwFCfpo89ff3V+9S4iojK+WSh5Iq8SPgp6SRfesat0HxRIzApIlzQwUNPRckwClZEaSyaCW5Ly2tvK+tq6srGo1G2wtycz5Jtkn/Lj75XC/HxoIA555sjfwyaVQ7apsgN6V0XlGLume8kk8SDyyO0k/39/dXx5XLR4sPLza6/r1/jVvXE4xL//RfxDU8gY6HmHjCLqIflU+WjnybcS45rNVqMTs7e56f9nFxNUnxQrrUEey1Wq06yEL30E+6rxdPXrTK4TDHBUwa6eeVDDOR9bixVrokkh9RDkxSiQTBuXulIConBwI7gSUqX995QMrxyGCnBMRBvfPu1XlPwnKVDBqqljLVl95iLWN1kKaVFYJW55GGK54jViaJO3mNw52sHGNKK3vQc0CwVls5vtUTGf2dc1q6T+3kAJCDYrUl2bBCwXscuOg68s976HQd8CmIUb4EBx7EFDRpD+6EPUA4H+zbk0ABVjponrLkx1XT9gmcXQd8oFZv5NbeXwIW8aJAICfoQSNXXOD4OMdySQZBpyd2DIiUI69TcGNA4JwhCVgx4Dgf1AF50bzki1XVpoIHTwmSbNSeZCc9yAdQ/+JHII/gxwsFmuci2gYrv7Qn9i/eKTOfj7JB/e325nZM4Ku5SB06kKS90d8RrLm9az5zWxD9MO1G5PNS80N9OeDiMxe6Xzx4UsHChu6VfekYYumEvl7j8cSCIJ22w2f0PFmS72K8ol1Tjhqzb2XTfQTkHD8TCn6WsxsCen+AXUBbvwl+vW0+tzI3N1e97JHP4MmmOB+4UsXEh/LXtYxnsg/9yE50nb9wU3LW4RQsCDlYdfnVarXqYAr5Do7BdevzTSeBsXjiJLtn0sZ55TLy4hHtz/0HX7bJvqVPnYwpHfnWM8pZciGIJ/YgTyw4yp5oPxwHY4/6zNkOfYN+83ALJbQsMHn8ld54LDbbJPZhMUWy4so07UvPskk2Og0zt+2SO4zod8WbVoeYkMm+eJojMSCLRdxtcbG06ZMfBgyCbzrQTpVaOkkRAaquodJouF5lZ9LimasbPJ0bg6cDYJI7RPXL8eXG4/LwrNsPWcgFGcqOAdqDkCajv8FaE9+P3cwBdE0o8u3Bj06h09hddgzIdGa8jwE0l1Rxj7XbEh0i+fXEj8HPEyG3YSbtBDS5gJ8LFJ2cgtu4VwJ9/siBsXInwCKHrx+vGkn2uUSUwXBgYKDtOQJuv5IjlePPBS4G/4iVo09po1yhyOk8l4R60YOFBM1bylO6IfCQPBjcNf9yD5nzHs5P2ozkwS170g2LE5yPrMCJBwYgAlPpW0kGE2v5Dbbf399f8Urdc95Tpgpk+u2y4XWaC54g0ueqLcmSR98SNOo+9UN/rOq0g33OX8nHH5QneKAMc5V7JtwsXkjfTEJ4bDKf1cnJTnYpvtiWAK14FUhV2/V6vXoJLhNoJq2cX3xPCn0d//e4LDtT2wJMnpTSBtwWdV1uBYSxjfbkQN59JRNEgipfaWEM0QtDvbiX8yGUG0k8EBzLj0pGWq3gO122bNkS8/Pz1elw5I06oX2Kby9KUZ484ZMJt/wGHzznKYLqU31J/pKdkhKNky/a5Wqa25q3y//FJwtHJNoDE37KUPbhNuGFQtql4zPORa5GEA9xHoh/FsxoJ2qTiVyrtXyAhsY4NDQU/f39MT4+3paszs/Px969eyOlFJOTk9Hd3R2NRiMWFhaql5POz8/H7t27o6urK06ePBkREYODg7G4uBhTU1PR3d0d/f39sbCwEJOTk9XLUCNWdgjovT1nzpyJvXv3Rl9fX4yNjVWff/3rX6900NfXF81mM/r6+iqeJycnKx309fVVPnJycjJarVb09vbGzMxM9PX1xfDwcExOTkbEcrI0NzdX+S2uSDtGuhBt+uQnor2qS+MSyXjoAEhePfbsn9eoDzmaHLFvTQpNVFGnJMvBq67lb5ICaUR7MGKbLhs6RPLivLsTFxh1YE85iif95vcOrtkHl5EdpLA/6oa8ECxR175PmaDDAwRBfw7wUIa5SeYASPx4gM85QAINfkc+HJAT0KsNAlzx5DzSUQjYUjcRy0GCx2DmdKRgKRCjgO225DbIICOeRd3d3VXViVVEPlPgKwhMHLiqSaBPXbjedZ22vzCQskrstqe2/ZkbPQDr+85zfon2Th+Tqwwq6dMzGpJRziYJ7OnLaNPyhQIikhtXSCiHiJV3WPj4U0rR39/fliDyoVmOjWNW0HNdUVZeQFKyLXCvPpmEMgGSffo8os486WBSm9LKczmUuXTN5IVxRNXv/v7+SgaefMtec4W77u7uChDqRDbJVXzJPqkvFqW0V186pS7cNqlTyV0/TGoJ8DzRJtHHi/wayUIgj2OgrRJIRqz4PH+OjmCTMVXzfGlpqXo3CPkSSTb+3jT/XjLSe1tkYzqKXqsg9Pe6X7/lV5ScScet1vLztQS1WmVyXyf9MmZ0KmpGrPgkzhXJWG1yexgLmFqJ11zQscdzc3MxMzPTljjqWoF2+VYmI0tLS9FoNGL79u0RETE1NVU9Z8bEnvqm/Klv+T6OlzFOY+DR8DxIgYmOZE7fT1uiT2SSzUIl5+nCwkJVVJCeaZPyU0oANR/0vJV8DXGn+J2ZmaniArdOj4+Px8TERNRqtdi9e3fbvFhYWKiKVUriG41GjI+PV4kp7UjzpdlsxunTp2NxcTEGBgZi7969MTs7GxERs7OzMTExUb10eWRkJE6dOlXpWrLv6+uLrVu3ttne3NxcZevaeqsdIH19fW3+J6UUMzMzVaF0bGwsuzK8Frokkh8pkJmgSAbDiUwnkQPSDlr0nf7vVGkgP7xeSYM7WyZAas+DgwNyAmhez5UWD4KdqhUcA0Erv+d9npQ5ePOKEldZXMbk3cG+98+EwtvSGPhSMTkt7mEWkBe48cDDaqmDJA8UTLYI3BxAUC50Jky2WAFjJTjXN8mBRafqbKcgT94UsFjlonypE23xqNVWnrvh1iCNg9VajdXtXfcxoHNrhkChQIHLlTYj3pSI5Eh+QoBJbbO66xVaD7YE1v69ZMRE0ZNw6pL268kV5xIrivpf2wx87KoOuk45Bo6XCZMAC5OA7u7uGBgYqLZYKCixwKFr6TdZaCCA9fklnvw5AtoN7djBr8AY5xXnrvtfyldAgPZK364VNcmBFVz6QgVoL5ioH/kmyYU64KoBbUC6FsAUr0rmKBP9cBwiVWpZ5eaKoftj6oyxQWNhTKGs6SOYrLj+GC9og26rItmMnyinZ2G4QqM+e3p6qneqMOnjEbqMKeJFoFCy8pXOiGj7nvNevDNpYoIue1Pf1DOTXclTfpZ+kLqnD/S4yCSRSaTGwmPNOT91LxNb9cE5KrDa19fXdoy3EiDOVRWzarVaTE9PtxUCVcEXyCXRf0iWnMucT7Jz3quxEh9w5U/+UvLhiW2yFfn2ZrPZ5qukP/Yl0rziO9d8GzdfRkyeZBt6jnNpaSmmp6ej1WpVyZOShfn5+Wg0GjE8PBz9/f0xNTVVteOrxPX68urLxMRE9YybErBGo1HxU6vVYseOHVUiNDg4GDt37qySKCUuxD/icWBgIHp7e6PZbMaZM2fi0KFDMTo6Gj09PdUzR/V6PcbHx6O/vz+Gh4djbm4uxsbGotVqxY4dO2JgYKBqkyfFLS4utr1gVZ8PDQ3F7t27o7e3t+2Ev06LEk6XTPKjyrP2dCp40VhzQNCryF4NpqMUdUp8OCE4ARkIc86fxHYdCMnoPKlhxaxTsuPVDXeInsR4ciR+CWR5D2Wnv3Nt+Gf6mwlJDuyLL4JQXsMKGCszmtj+YCv15FtyOF4FC4IbJkq+7SSifcmeussl4OqH49OPL7+zTW430P9ql3p1XVFuTLAkD30uwEediUc5Gp7h7/NNwI52QfkRiDNYMzjrmOZOgcaTTbXLSryDLvKvahR5yQFRyktgRt8pwLNwQmBFXyIbWA300x64KkBfoXExkVPfsgu3RY2Dz7pJZvpbiUB/f38VyObn52NmZiYWFxerqnbODhiAvAon3jQm+kfpTBV0tzUCAo1Vq0/yGUp+pCfOcSaN5I1ziFt9WA0WP5KRiiTyKUz4+IwiV5MEVnJgXfIiyHUbFo8sMDBmSJ7cl+/JkRcE1Re3Hak6y5fysvLMFR7qk35Q9ssxaA6If38eQv2LB/JI30edSNdMnmTr0jETDPUhUOs+k3OFds0VYYExrQhIj5rTOoCDp6mxjU5x0JNW2fLS0sqLJPkdZUpsweIn7Vt9UCbybcJLGjMLg1y1kF0zYZcuNRckZ/qw2dnZNt/JeeiH2qigQh/nhRTKVHNSPPM4f9pQrba8iiKwrQIC/RHxB2OR2uDqHvW3tLS8tVdJDX272lRyc+7cuaqPRqNR3UMbEOjXXNPWLxXo+MzO4uJizMzMxOjoaPWZtrXt2rWret6r2WxWicPc3Fzs2rWrun9ycrLy2xMTEzE3NxcjIyMxODhY+VytLikZ18EZg4ODceLEiZiamorh4eFoNpsxNjYWQ0NDsW3btuqahYWFGBoairm5ueqZ0vn5+SrR0Q6NVmt5y9u5c+cq3SwsLMTs7GxMT09XO0Akw5RSnDp1Kk6dOhWLi4vRaDRiYmJizYlPxCWQ/NCRKmhqQmkbB4kOI+L8FYpWq9UWGByQEwyrfwfqBJ3iwwMSJ5iyWx9XxPnP3xDkeb+adARtXgn1SpWqPOyD7fEzApdcgsIKHJ2YSGNmEuZgXk6NsmUi5f05wJRDouNkpd6vZRVD13t1nkFU15Aff8iQTp0PtOYSVy7DU04CbazM5WyEiZzrWLw5QHBgz0RLPwQJbhP6aTab5wG33AqAiO0x0PEEHPXBOapAwCAk2al6p7FQ10wE/Bk0BnEBUwULAR1t7+CzTLxf/TIYE9S6nAk+JAvOPyUn4l8ghICWq3Nzc3MxOTnZ5lOYkNNmWLRw8EtZMTki4J6fn6/koO1tMzMzMT09HdPT0zE7Oxv9/f3nvchQvGncXOlk35KN+qavk8wVKOv15a1k4lfJKCu0Gg9XyVgg0PxiX14goB3RxqkfVhqlRyYusjG1ITvUnFQV1pMfyU388hlIrgBoSw1XM8Ub405ulYVHbGuLKecUVx8IPjmv2b5/Jtunv6MvYrzyIprGLX7pq5hkdwI7bENJg3SUi43OuwovtVotms1m9PT0xMzMTNuWsN7e3spPavtRV9fys4tKgnLFEPLmxRV9TrtkMYv3eDFI49YY2J+SKsUb2Sb9puxJYJvFL24jpt3OzMxU+qGOpCeOTwVKJtC8jzs1+LymxiSblZ7ku+v1evUQPvVK2cuna2uixiU+lCQRB3rS7yTZzszMtD0fVavVKp+jPuSvfB4QWzQajejr66sO0ejr64vt27dXz+xoXvb09MTQ0FAMDAzE2bNnq3HJtyhJaTQa1XenT5+u+ty3b1+cPHkyarXlLXFnzpyJ8fHxiFhO9MfGxuLcuXPR29sbu3fvjqGhoSo+jo6OVm3s3r07IiJ27twZKaWYnp6u/NjExES1VVI+S6uE9HfiV8Wtrq6Vrd2SwdatW2NsbKx6KarmXLPZjImJicrOHB9eiDZ98iPj0mQUIBPxXQ00YjoaVmfYpoN7kVfSc5UkBZtOAUOOjEGeQYaVG+eNgVEkAMkELlcR43M7AtZMGhmo2J+Pmzzpb33uTogOj8v8HINf5+2wQuYVLslKDkB7810f+l73qo+cY+PYmMDwe+qXMvTVRBF51b0eEAluPUnIBTXnKZdc8zvXL9tg++yHPy5zt29WKOng3W5YkVfCwC11qozpc63S0C41P1iJZXDRPCPIIoh0QCf70NYx7V3nNhACEAYzAU8mLwRW4o1zgm3peiadTPyZULhdsT1/PohVTiW1kj39kcYmefT29sbWrVvbKtEan4Cfvp+amqqSRulWvoZ2Rj/kSQrtTfcq2Esu8lesGuuku1qtVj0vwGeumLA62PAkw4sG/jwR7YtJpWyJh7lwu5XaFaiT7P1wECYC0hF9qgCBbILznHYi/rSNiysH4jml1Dbn1IZAnHjVMbfqn/Nf8Yq+ks8e0NY4J3LxjUkhY7OItqFrfK6LJ81jbjXl8zOyUcpK4xcP1G9XV1cMDw/H4OBg20lmLHCqHRabxIfbGe9n0YSJq8dH2pmPl75I89OTSRVxpPepqam2whFP61I72jroOKWrqysGBwereaokr9Vafl5kYGAgBgYGoru7u0qQlFAxcXM9a25TD1rhdV+pcUnf27Ztq3yQEjwvIrIoIbugD+Gc5UoM5yVtQwU5zQvJTXy73ES0U/mqubm5tm2B8meMqe5TFhYW4sCBA9XjHufOnYvt27dXc3L37t3R19cXMzMzMT4+HouLizE+Ph4prRxr32w2o9FoxDve8Y6q73PnzkWr1YqpqanKx8umh4aGqlVaJf+zs7PRarXiiiuuiO7u7picnIzXXnutmtfin89fnjlzppojesZXNsIdDZLF9u3bY2RkJFqtVkxPT8fo6GgMDAzEtm3bIqVUPXvUCc/laNMnPxH5Z1xYfY9YCWasNkTEeY5ZVbCI/IsCdQ/7deCQA+cOfvyhN1a3cgr0Sa+JSBIvut/BsQyNYJogPLc9SuNn4uSOmcBdjoMAg5UeyS2XaHrwU4LmuuD31A8dmgAYEzevBlEnLkcHQh6ICBKofzkJJja58Xq/BEg5YN2JN13LZE726QCXc0Qy9URTwVEgTTx7YsxkVHKV3F2X3KqhsTA5pUwUALmFTkBOqxwcowd6zsPcZ/qtZFjy4coCt6HoO7VD/6B2col7bl5RX54M5Gwiov1N4HzQXTaoiqIq9nxQWeOTP5TPcPAvOSqIq4ikRIInxS0uLp8IpNN3pCMBXSWyDuakLxZf3G/SDglYKWtt1xC4EACp1+ttx+uKXweIXJmjDgiURQIbqlizusyEMKL9RDZP/NyeZBf6Ticruc/RXGSxQIlnRHtCoHEySaR/l66VpOUKfgIjnLsCt7Q/X/lkxVnf+YostxbLBlno40qJg1c/9t5XiKkz2TjHTN6lM1WfZWvqh9u95ubm2lYMpA+uXqodrSYIfMtH6YQrxwq55F96ULyRzTBpF15REiY5MZlyvcqO+dwkE4GZmZmq0q+H4GWfOX/BZFh/qzDVbDZjfHw8Zmdn2wrPsnHOGS8KqR/ZMX2JEnU9a6THG7Q1ikkwCxXSoxIc96GUjz7noS6SKeXBra7z8/MVL5yn9OOMBZKZ+Go2m7F169YYHByMiKiSPenLcadOThsdHY2zZ89Go9GIgYGBqNfr1Za5119/vW01JKVUrWLOzc3FuXPnque19MxNSsvb3ORPZFeTk5PVFjudvLZ169a2ePPSSy9VBUuOU/hN9qxkWCvM+k5JpmRPXNvV1RXj4+PR3d3dlnBrLEp6fIfEWuiSSH5YeVtaat+7yYqYb7fIgQ1VQSLaj2N2B0viA2MR578QlJOb1QMHRwQjqhrRqRFUc7KrD04y3sNqogIAHaBko4lCJ6rfcrj6250Vx0+HQt3owWBdo7bIu8ucAJVBQ46GQI/XKJiJHIwThGniEiwyKdUk1ZYHJjYK7OTLZcJklve63fnEVSWNtii56loeH6ogT5l5xZXBl/J3O2Nw0A9Xc+jk5cDUNqvytDPONyZ4nHPkRQ6t0Wi0BTPdx3mkIC2wzrlHuRJQSJeSmXTsFUa239XVFdu2basAm/qXvQk4RaysxhJgCZhSRxqT2tT8Z/FBIIpFHAdP3LYhP8M5rlVRgT+tlEhX4kn7wHVNq9WqTvHp6+trA3oKWpKfxsKKMX0G9chCRc4veOBXAtJsNivb0PzUtgn5NxZqJGPGACar3G7DmLF169Yq2WCbtC3NTfodgXoBBMrX/baAPFetJR/xTfCgecNtQeRfSWlPT0+1Z182RwDN+UgbVXLD5xyZ3EdENR+ZZEnW/uA6E2AmcxHRpi8+W8J4Sp+v7wS2Z2Zmque1uO1PIJm6rtfr0Wg0qhVR+XLqRnpgQsdDEsSz5KvvZmdnq61PO3bsiO7u7pidna2eB2k0GhXgFb/i01edKAcH3vItXV3tW+tkt/J9nIP+LJLmu4oGvb29bc/Cyl77+vpiaGioiuWSga6R7BTbtSVZ+tc2UyUR8meyVY9B3AWg6/v7+9u263mS1N/fH9u3b6+OHJ+amopz585Vu3+0ArVly5Y4e/ZshQ1p+yweMImPWE5ElFhx7sg/KB5rmxqTffr73t7eKjHp7++vDgfQvdpOqZ0GsgkepMLC0uLiYmzdujX6+vqquTo4OFjZmFbC6vV69dwV/TFXmGRzXK2SDru6umJ6erpa+VxaWoqxsbG21eBGo1HJdWFhoS0+9PX1xeTkZPT391fFtL6+vqqAwAIIk2z5SMcwsnUlYCpK6fUYsqe10qZOfujE33zzzXjllVeq4yC5PzwiDy4JtCPO36MvYtVQE4WVb7/eM3+vEopyyvJ+GXwizq90M4izqumA1kE0+2aCQmcgHgimOMHFByvYnSq5lK0HU4Ikl4uDd3eaTO7YLr+TnkisljG4UF+clM4vEy+XFfXiFT45eiZ9GpMnkK1Wq0rg3AZYyc/Zkv6XvqgfAiluKfCqj6qAupdbHPTDKrJk4PLm/OEJO3R8rlM+wE071jVyoOx/bm6ueuiRVXrXu+RP0MXiACuqkgn3XKtf+RlfUeaqi0AOq4KezDOgq5JMMMcH1nNFDc4NghLvh5SzP22BEsDUVgSuhDPhYN/0BfIlzh99kxcX6AO42iv7JZAVMQlgoSNH5JPA2FcgJQ8WETjvCcpZhGHSrcSRwNZ9ovhnUSQ3D3yFJjeXKY9Occrjk+Tu/prFDtoQeVT7mgdc9SOQ5jY72oLsamZmpm0ckjnnPws7smu2w8MqVIiRHfNa8aQkk1v9FJP8vTmddKHvlGBGRJWIcc7JtnJzn+2IcphBPLKgy+/cP7AYRrkxZhEDcA4yfrJ4yfFQJk5Ktn1VsNVqVXKlbD2pY4IjPXElzud+vV6vEpz9+/dXycPU1FScPn26zZdqfJw7ueTL8Q5l6zhR9qWEU8UgHtwhXyhfoALSwMBA27OTWsHy9xEpieVzp0rc9Rwm47evjopvL+ww+Wc8VBxjfPPVv9HR0ba56Uk8E0U9B6o+uZ3YfQ9lxrlLDF+v1+PkyZNVYn/y5Mnz/OBaaVMnP1LUwMBAfOYzn4mBgYHqJU1SmFcQaSgMYA7k+TcDAr/jj67ze9nvapmpt+Ht5tpmZWy19gkCeS3bcRl14iPHM5OfnBzo8D1R4mcXIh+ngxF9nvveEyx+ngMSnJic+CImvQrAOZ3rfiYZDLiuD09+6AR4jY/Jf7sc2CYdlCeLTH4YfF0uuYSP41VbnWyr09xazRY4NiYAq/HGPtQ+ZerJH2VK3glOGfzoQ8g/+yZ4dn69H66sqV/aZ87viMRj7vucnbn/8OScfef4db9A2eT6d+CTSyZ8XnqiLKK8mOB3IurVEzdvj8Df+SJJbl5EcZvgXKdtsJDUKcawPdrPav7A9ZVLtjzhzPmP1WxIfdMPur2Qf/HugEfXuwxzvPn42RcLFW5H9AucWzk+hRvEK/nPzVMm0fLXJLcDj0NOntz6nNJ35Nv9HXXF63J4gmPy8TlWyt2T048XLQSQO9ku28kVGnIkfbIAySSf26cYo5w8XuZs7EJyUxzohMPcjll4TWllmyNtWr5ciakXkrjFLzfnc9iFMtf3/ky87Nrxgc9dFvdkK52Kjby3E5+8j/5E39FHtFrLK4E7duyI8fHxCn/p3lxClaNNnfwMDAzE17/+9bjuuuvalq152hLJjbLTxMoF9dWuzwUOb8cnubd1oe8vlne/NxdUcw6sUxDkZ6sB1NX4oSO52PZWCxoXCiju4HJ95gKFO7216qATD7kgmguwopxjcOo09tw4O4FfgkcGau8/J7OcjC7E74X0laPV5lYnuTp4ZP+dxuFOdy196rucneXGsFo7HlxzICZHfn+OXD8X8mcuqxwgXWvfq/HkbXRKWnO8dfK9Tp0AmygHeGgL5KFTG5w7fk8nXXcaX44vH3cOjOXs8ELXr0ar+bwcMHTg1Gncui7nMxy8kGfXt4PaXDs5GTrPnfyCy4B2kYurGlOuKOP85Wi1ueTjd32vJa7niOPwBK1TvO7UB2Xjif1qY18tMXQ5Exznioo5e6cMc393ihGd+Ha5ev85vj0edSqK8ZpO41lNlhxLbpcJC4eemOTiA31ILvnR916AIC+8hpSbF/rbkx/a+5YtW2J6erpaeT116tR5BbIL0aZOfrQfc3x8vDqlSfSNBORO9+YCYo680vdWqJMjXi2A59pY7ZpvREYX6tfJncBq/6+1/U6OrZPzWY3H1dpaDciulf+LkXVOPqvxupZ+c/fnAGUuwHUKoBca9zdjHrAv/u40B91hd0ogOsl3rSDaQTH78XGvJucc353GROp03Vpsf7X2OwG9TnzzurXayVvxO6v1fSFgxb7eCi8XmyDkKtxr8Red+lnNVh3Y5/jp1MdbtbVv1J7XSmuJIz6/+XknMLuab10Lz6v5Fd5/sXpea98Xuv6tjGm1/i7Gj/hcvJAsLtSetyPy5DK3qsg23goOWi0OfyO+y/WTs+HcfWvpx30xCzlur536XQvlVljc7+Xi/1oxgRdGOtnR9PR0RES19fBiqJa+2ch3HWhiYiKGh4cjYlkYXO3hQ6XrSWsJXH7tJhT9JUNvxRlvxj6/leitBo+1tHuxAfobvW49dbnZ7Waz878Zaa2A7luNvpEi0XpTJ1C2GWPLemKS1YotnXi40HffbL7fSuLxdhQAvD1P4r/Z8+Xt4Pli2uskx9zc0ou4czQ+Ph7btm1bta9NufKjE20iloXKjM9P5Fkvuhhj+VYOPpcLbYQOLne9v13jfzvm3oWuW09dbna72ez8b0bqJPNvdV1spjjaabVtM8aWbwV/thoPb/W7t0oX22bu+m82X7kVk2/2fHk7eP5Gr+80tzolPhHLOcKFkp9NufLTarXi+PHjcc0118Rrr70WQ0NDG83SZUnnzp2Ld77znUUHG0hFBxtPRQcbT0UHG09FBxtPRQcbT0UHG0cppZicnIz9+/df8BCcTbnyU6/X44orroiIiKGhoWJgG0xFBxtPRQcbT0UHG09FBxtPRQcbT0UHG09FBxtDF1rxEa2eGhUqVKhQoUKFChUqVKjQJUIl+SlUqFChQoUKFSpUqNBlQZs2+ent7Y277rorent7N5qVy5aKDjaeig42nooONp6KDjaeig42nooONp6KDjYHbcoDDwoVKlSoUKFChQoVKlToYmnTrvwUKlSoUKFChQoVKlSo0MVQSX4KFSpUqFChQoUKFSp0WVBJfgoVKlSoUKFChQoVKnRZUEl+ChUqVKhQoUKFChUqdFnQpkx+/viP/ziuvPLK6Ovri8OHD8eTTz650SxdMvRv//Zv8WM/9mOxf//+qNVq8cADD7R9n1KK3/qt34p9+/ZFf39/HD16NF588cW2a86ePRu33XZbDA0NxfDwcPz8z/98TE1NreMoNi/dfffd8b3f+72xdevWGBkZiZ/8yZ+M48ePt10zNzcXx44di507d8bg4GD89E//dJw6dartmldffTVuvfXWaDQaMTIyEr/6q78ai4uL6zmUTU333HNPXHfdddWL6o4cORKf//znq++LDtaXPvnJT0atVouPfvSj1WdFB28//fZv/3bUarW2n6uvvrr6vujg7afXX389fvZnfzZ27twZ/f398e53vzueeuqp6vsSk99+uvLKK8+bB7VaLY4dOxYRZR5sSkqbjO67777U09OT/vIv/zJ99atfTb/4i7+YhoeH06lTpzaatUuCPve5z6Xf+I3fSH//93+fIiLdf//9bd9/8pOfTNu2bUsPPPBA+u///u/04z/+4+mqq65Ks7Oz1TU/8iM/kq6//vr05S9/Of37v/97ete73pU+8IEPrPNINie9733vS/fee296/vnn07PPPpt+9Ed/NB04cCBNTU1V19xxxx3pne98Z3r44YfTU089lb7v+74vff/3f3/1/eLiYrr22mvT0aNH0zPPPJM+97nPpV27dqVf+7Vf24ghbUr67Gc/m/75n/85vfDCC+n48ePp13/919OWLVvS888/n1IqOlhPevLJJ9OVV16ZrrvuunTnnXdWnxcdvP101113pe/+7u9OJ0+erH5Onz5dfV908PbS2bNn08GDB9MHP/jB9MQTT6SXX345Pfjgg+mll16qrikx+e2n0dHRtjnw0EMPpYhIjz76aEqpzIPNSJsu+XnPe96Tjh07Vv2/tLSU9u/fn+6+++4N5OrSJE9+Wq1W2rt3b/q93/u96rPx8fHU29ub/uZv/iallNLXvva1FBHpP//zP6trPv/5z6darZZef/31deP9UqHR0dEUEemxxx5LKS3Le8uWLekzn/lMdc3//M//pIhIjz/+eEppOYGt1+vpjTfeqK6555570tDQUGo2m+s7gEuItm/fnv78z/+86GAdaXJyMh06dCg99NBD6Yd+6Ieq5KfoYH3orrvuStdff332u6KDt58+/vGPpx/4gR/o+H2JyRtDd955Z/r2b//21Gq1yjzYpLSptr3Nz8/H008/HUePHq0+q9frcfTo0Xj88cc3kLPLg06cOBFvvPFGm/y3bdsWhw8fruT/+OOPx/DwcNx0003VNUePHo16vR5PPPHEuvO82WliYiIiInbs2BEREU8//XQsLCy06eDqq6+OAwcOtOng3e9+d+zZs6e65n3ve1+cO3cuvvrVr64j95cGLS0txX333RfT09Nx5MiRooN1pGPHjsWtt97aJuuIMg/Wk1588cXYv39/fNu3fVvcdttt8eqrr0ZE0cF60Gc/+9m46aab4md+5mdiZGQkbrjhhvizP/uz6vsSk9ef5ufn49Of/nR86EMfilqtVubBJqVNlfycOXMmlpaW2gwoImLPnj3xxhtvbBBXlw9JxqvJ/4033oiRkZG277u7u2PHjh1FRxdJrVYrPvrRj8Z73/veuPbaayNiWb49PT0xPDzcdq3rIKcjfVdobfTcc8/F4OBg9Pb2xh133BH3339/XHPNNUUH60T33Xdf/Nd//Vfcfffd531XdLA+dPjw4fjUpz4VX/jCF+Kee+6JEydOxA/+4A/G5ORk0cE60Msvvxz33HNPHDp0KB588MH48Ic/HL/yK78Sf/VXfxURJSZvBD3wwAMxPj4eH/zgByOi+KLNSt0bzUChQoXydOzYsXj++efjS1/60kazclnSd37nd8azzz4bExMT8Xd/93dx++23x2OPPbbRbF0W9Nprr8Wdd94ZDz30UPT19W00O5ct3XLLLdXf1113XRw+fDgOHjwYf/u3fxv9/f0byNnlQa1WK2666ab43d/93YiIuOGGG+L555+PP/mTP4nbb799g7m7POkv/uIv4pZbbon9+/dvNCuFvgHaVCs/u3btiq6urvNO0Th16lTs3bt3g7i6fEgyXk3+e/fujdHR0bbvFxcX4+zZs0VHF0Ef+chH4p/+6Z/i0UcfjXe84x3V53v37o35+fkYHx9vu951kNORviu0Nurp6Yl3vetdceONN8bdd98d119/ffzBH/xB0cE60NNPPx2jo6PxPd/zPdHd3R3d3d3x2GOPxR/+4R9Gd3d37Nmzp+hgA2h4eDi+4zu+I1566aUyD9aB9u3bF9dcc03bZ9/1Xd9VbT0sMXl96ZVXXol//dd/jV/4hV+oPivzYHPSpkp+enp64sYbb4yHH364+qzVasXDDz8cR44c2UDOLg+66qqrYu/evW3yP3fuXDzxxBOV/I8cORLj4+Px9NNPV9c88sgj0Wq14vDhw+vO82ajlFJ85CMfifvvvz8eeeSRuOqqq9q+v/HGG2PLli1tOjh+/Hi8+uqrbTp47rnn2gLeQw89FENDQ+cF0kJrp1arFc1ms+hgHejmm2+O5557Lp599tnq56abborbbrut+rvoYP1pamoq/vd//zf27dtX5sE60Hvf+97zXnXwwgsvxMGDByOixOT1pnvvvTdGRkbi1ltvrT4r82CT0kafuHCxdN9996Xe3t70qU99Kn3ta19Lv/RLv5SGh4fbTtEo9NZpcnIyPfPMM+mZZ55JEZF+//d/Pz3zzDPplVdeSSktH6s5PDyc/uEf/iF95StfST/xEz+RPVbzhhtuSE888UT60pe+lA4dOlSO1VwjffjDH07btm1LX/ziF9uO1pyZmamuueOOO9KBAwfSI488kp566ql05MiRdOTIkep7Hav5wz/8w+nZZ59NX/jCF9Lu3bvLsZoXQZ/4xCfSY489lk6cOJG+8pWvpE984hOpVqulf/mXf0kpFR1sBPG0t5SKDtaDPvaxj6UvfvGL6cSJE+k//uM/0tGjR9OuXbvS6OhoSqno4O2mJ598MnV3d6ff+Z3fSS+++GL667/+69RoNNKnP/3p6poSk9eHlpaW0oEDB9LHP/7x874r82Dz0aZLflJK6Y/+6I/SgQMHUk9PT3rPe96TvvzlL280S5cMPfrooykizvu5/fbbU0rLR2v+5m/+ZtqzZ0/q7e1NN998czp+/HhbG2NjY+kDH/hAGhwcTENDQ+nnfu7n0uTk5AaMZvNRTvYRke69997qmtnZ2fTLv/zLafv27anRaKSf+qmfSidPnmxr5//+7//SLbfckvr7+9OuXbvSxz72sbSwsLDOo9m89KEPfSgdPHgw9fT0pN27d6ebb765SnxSKjrYCPLkp+jg7af3v//9ad++famnpyddccUV6f3vf3/bO2aKDt5++sd//Md07bXXpt7e3nT11VenP/3TP237vsTk9aEHH3wwRcR5sk2pzIPNSLWUUtqQJadChQoVKlSoUKFChQoVWkfaVM/8FCpUqFChQoUKFSpUqNBbpZL8FCpUqFChQoUKFSpU6LKgkvwUKlSoUKFChQoVKlTosqCS/BQqVKhQoUKFChUqVOiyoJL8FCpUqFChQoUKFSpU6LKgkvwUKlSoUKFChQoVKlTosqCS/BQqVKhQoUKFChUqVOiyoJL8FCpUqFChQoUKFSpU6LKgkvwUKlSoUKFChQoVKlTosqCS/BQqVKhQoUKFChUqVOiyoJL8FCpUqFChQoUKFSpU6LKgkvwUKlSoUKFChQoVKlTosqD/B9PotbLWeun3AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Load the camera man image\n",
+    "image = cv2.imread(\"lambo.jpg\",cv2.IMREAD_GRAYSCALE)\n",
+    "# Make the image larger when it renders\n",
+    "plt.figure(figsize=(10,10))\n",
+    "# Renders the image\n",
+    "plt.imshow(image,cmap=\"gray\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "5b470e4e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x24018631150>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Filter the image using Median Blur with a kernel of size 5\n",
+    "filtered_image = cv2.medianBlur(image, 5)\n",
+    "# Make the image larger when it renders\n",
+    "plt.figure(figsize=(10,10))\n",
+    "# Renders the image\n",
+    "plt.imshow(filtered_image,cmap=\"gray\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine-learning/week3/ORB+RANSAC.ipynb b/machine-learning/week3/ORB+RANSAC.ipynb
new file mode 100644
index 000000000..ac707cd55
--- /dev/null
+++ b/machine-learning/week3/ORB+RANSAC.ipynb
@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "5b1901e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reading reference image :  perfect.jpg\n",
+      "Reading image to align :  rotato.jpg\n",
+      "Aligning images ...\n",
+      "Saving aligned image :  aligned.jpg\n",
+      "Estimated homography : \n",
+      " [[ 1.13841096e-02 -1.32914675e+00  1.59308689e+03]\n",
+      " [ 1.35203886e+00 -2.25183243e-04 -5.47492477e+00]\n",
+      " [ 1.18207774e-05  2.34688211e-05  1.00000000e+00]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import cv2\n",
+    "from __future__ import print_function\n",
+    "import numpy as np\n",
+    "\n",
+    "MAX_FEATURES = 500\n",
+    "GOOD_MATCH_PERCENT = 0.15\n",
+    "\n",
+    "def alignImages(im1, im2):\n",
+    "    # Convert images to grayscale\n",
+    "    im1Gray = cv2.cvtColor(im1, cv2.COLOR_BGR2GRAY)\n",
+    "    im2Gray = cv2.cvtColor(im2, cv2.COLOR_BGR2GRAY)\n",
+    "    \n",
+    "    # Detect ORB or SIFT features and compute descriptors.\n",
+    "    orb = cv2.ORB_create(MAX_FEATURES)\n",
+    "    keypoints1, descriptors1 = orb.detectAndCompute(im1Gray, None)\n",
+    "    keypoints2, descriptors2 = orb.detectAndCompute(im2Gray, None)\n",
+    "    \n",
+    "    # Match features.\n",
+    "    matcher = cv2.DescriptorMatcher_create(cv2.DESCRIPTOR_MATCHER_BRUTEFORCE_HAMMING)\n",
+    "    matches = matcher.match(descriptors1, descriptors2, None)\n",
+    "    \n",
+    "    # Sort matches by score\n",
+    "    matches = sorted(matches,key=lambda x: x.distance, reverse=False)\n",
+    "    \n",
+    "    # Remove not so good matches\n",
+    "    numGoodMatches = int(len(matches) * GOOD_MATCH_PERCENT)\n",
+    "    matches = matches[:numGoodMatches]\n",
+    "    \n",
+    "    # Draw top matches \n",
+    "    imMatches = cv2.drawMatches(im1, keypoints1, im2, keypoints2, matches, None)\n",
+    "    cv2.imwrite(\"matches.jpg\", imMatches)\n",
+    "    \n",
+    "    # Extract location of good matches\n",
+    "    points1 = np.zeros((len(matches), 2), dtype=np.float32)\n",
+    "    points2 = np.zeros((len(matches), 2), dtype=np.float32)\n",
+    "    for i, match in enumerate(matches):\n",
+    "        points1[i, :] = keypoints1[match.queryIdx].pt\n",
+    "        points2[i, :] = keypoints2[match.trainIdx].pt\n",
+    "    \n",
+    "    # Find homography\n",
+    "    h, mask = cv2.findHomography(points1, points2, cv2.RANSAC)\n",
+    "    \n",
+    "    # Use homography\n",
+    "    height, width, channels = im2.shape\n",
+    "    im1Reg = cv2.warpPerspective(im1, h, (width, height))\n",
+    "    \n",
+    "    return im1Reg, h\n",
+    "\n",
+    "\n",
+    "if __name__ == '__main__':\n",
+    " \n",
+    "    # Read reference image\n",
+    "    refFilename = \"perfect.jpg\"\n",
+    "    print(\"Reading reference image : \", refFilename)\n",
+    "    imReference = cv2.imread(refFilename, cv2.IMREAD_COLOR)\n",
+    "\n",
+    "    # Read image to be aligned\n",
+    "    imFilename = \"rotato.jpg\"\n",
+    "    print(\"Reading image to align : \", imFilename);\n",
+    "    im = cv2.imread(imFilename, cv2.IMREAD_COLOR)\n",
+    "\n",
+    "    print(\"Aligning images ...\")\n",
+    "    # Registered image will be resotred in imReg.\n",
+    "    # The estimated homography will be stored in h.\n",
+    "    imReg, h = alignImages(im, imReference)\n",
+    "\n",
+    "    # Write aligned image to disk.\n",
+    "    outFilename = \"aligned.jpg\"\n",
+    "    print(\"Saving aligned image : \", outFilename);\n",
+    "    cv2.imwrite(outFilename, imReg)\n",
+    "\n",
+    "    # Print estimated homography\n",
+    "    print(\"Estimated homography : \\n\",  h)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine-learning/week3/Object detection using HOG+SVM.ipynb b/machine-learning/week3/Object detection using HOG+SVM.ipynb
new file mode 100644
index 000000000..c88a37c6d
--- /dev/null
+++ b/machine-learning/week3/Object detection using HOG+SVM.ipynb	
@@ -0,0 +1,276 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d47d6c84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import time\n",
+    "import random\n",
+    "import matplotlib.pyplot as plt \n",
+    "import matplotlib.image as mpimg\n",
+    "import seaborn as sns\n",
+    "\n",
+    "from glob import glob\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.metrics import accuracy_score,confusion_matrix\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from skimage.feature import hog\n",
+    "\n",
+    "import PIL\n",
+    "import cv2\n",
+    "import pickle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ae0cd49e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There are 3599 car images in the dataset\n",
+      "There are 853 negative images in the dataset\n"
+     ]
+    }
+   ],
+   "source": [
+    "car_paths = glob(\"images/data/train\"+\"/*\")\n",
+    "neg_paths = glob(\"images/data/test\"+\"/*\")        \n",
+    "print(\"There are {} car images in the dataset\".format(len(car_paths)))\n",
+    "print(\"There are {} negative images in the dataset\".format(len(neg_paths)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1bcbd6a4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reading images and extracting features has taken 40.03 seconds\n",
+      "Shape of image set (4452, 756)\n",
+      "Shape of labels (4452,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Extracting the HOG features of the images\n",
+    "pos_images = []\n",
+    "neg_images = []\n",
+    "\n",
+    "pos_labels = np.ones(len(car_paths))\n",
+    "neg_labels = np.zeros(len(neg_paths))\n",
+    "\n",
+    "start = time.time()\n",
+    "\n",
+    "for car_path in car_paths:    \n",
+    "    img = np.asarray(PIL.Image.open(car_path))\n",
+    "    # We don't have to use RGB channels to extract features, Grayscale is enough.\n",
+    "    img = cv2.cvtColor(cv2.resize(img,(128,64)),cv2.COLOR_RGB2GRAY)\n",
+    "    img = hog(img,orientations=9,pixels_per_cell=(16,16),\n",
+    "              cells_per_block=(2,2)\n",
+    "             )\n",
+    "    \n",
+    "    pos_images.append(img)\n",
+    "\n",
+    "for neg_path in neg_paths:\n",
+    "    img = np.asarray(PIL.Image.open(neg_path))\n",
+    "    img = cv2.cvtColor(cv2.resize(img,(128,64)),cv2.COLOR_RGB2GRAY)\n",
+    "    img = hog(img,orientations=9,pixels_per_cell=(16,16),\n",
+    "              cells_per_block=(2,2)\n",
+    "             )\n",
+    "    \n",
+    "    neg_images.append(img)\n",
+    "    \n",
+    "x = np.asarray(pos_images + neg_images)\n",
+    "y = np.asarray(list(pos_labels) + list(neg_labels))\n",
+    "    \n",
+    "processTime = round(time.time()-start,2)\n",
+    "print(\"Reading images and extracting features has taken {} seconds\".format(processTime))\n",
+    "\n",
+    "print(\"Shape of image set\",x.shape)\n",
+    "print(\"Shape of labels\",y.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "46c4534a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3561, 756)\n",
+      "(891, 756)\n",
+      "(3561,)\n",
+      "(891,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Spliting into training and testing data\n",
+    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=42)\n",
+    "print(x_train.shape)\n",
+    "print(x_test.shape)\n",
+    "print(y_train.shape)\n",
+    "print(y_test.shape)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b621688e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[LibSVM]Accuracy score of model is  96.86\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Building/Training the SVM classifier\n",
+    "from sklearn.svm import SVC\n",
+    "\n",
+    "# Creating a SVC object\n",
+    "svc = SVC(kernel = 'rbf', verbose=True, random_state=42)\n",
+    "\n",
+    "# Fit the training dataset\n",
+    "svc.fit(x_train,y_train)\n",
+    "\n",
+    "y_pred = svc.predict(x_test)\n",
+    "print(\"Accuracy score of model is \",round(accuracy_score(y_pred=y_pred,y_true=y_test)*100, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b9abd2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# testing\n",
+    "def test_prediction(img_path, true_label, svc):\n",
+    "    img = np.asarray(PIL.Image.open(img_path))\n",
+    "    img_gray = cv2.cvtColor(cv2.resize(img,(128,64)),cv2.COLOR_RGB2GRAY)\n",
+    "    image, viz = hog(img_gray,orientations=9,pixels_per_cell=(16,16),\n",
+    "              cells_per_block=(2,2), visualize=True)\n",
+    "        \n",
+    "    x_tst = np.asarray(image)\n",
+    "    pred = svc.predict([x_tst])\n",
+    "    \n",
+    "    print(\"True label: \", true_label)\n",
+    "    plt.imshow(img)\n",
+    "    if pred[0] == 0.0:\n",
+    "        print(\"Prediction: Not car\")\n",
+    "        \n",
+    "    elif pred[0] == 1.0:\n",
+    "        print(\"Prediction: Car\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d0f549b9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True label:  Not car\n",
+      "Prediction: Not car\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "test_prediction(neg_paths[2], \"Not car\", svc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0ef73255",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True label:  Car\n",
+      "Prediction: Car\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "test_prediction(car_paths[7], \"Car\", svc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7dc21f1d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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diff --git a/machine-learning/week4/chatbot.ipynb b/machine-learning/week4/chatbot.ipynb
new file mode 100644
index 000000000..82e1685d8
--- /dev/null
+++ b/machine-learning/week4/chatbot.ipynb
@@ -0,0 +1,1521 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "62fa0ef7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import json\n",
+    "import string\n",
+    "import nltk\n",
+    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
+    "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "from tensorflow.keras.layers import Input, Embedding, LSTM, Dense, Flatten, GlobalMaxPooling1D\n",
+    "from tensorflow.keras.models import Model\n",
+    "import random"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9628d94b",
+   "metadata": {},
+   "source": [
+    "# Loading Content"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "432567e2",
+   "metadata": {},
+   "source": [
+    "Content is a JSON file containing tag, input and response. What we going to do is predict tag based on input and give random answer from responses."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "5b9e4b54",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "intents = json.loads(open('./intents.json').read())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "97a211d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'intents': [{'tag': 'greeting',\n",
+       "   'patterns': ['Hi', 'Hey', 'Is anyone there?', 'Hello', 'Good day'],\n",
+       "   'responses': ['Hey :-) My name is Jarvis!',\n",
+       "    'Hello, thanks for visiting. My name is Jarvis!',\n",
+       "    'Hi there, My name is Jarvis!. What can I do for you?',\n",
+       "    'Hi there, My name is Jarvis! How can I help?']},\n",
+       "  {'tag': 'personal',\n",
+       "   'patterns': ['How are you?', 'How are you doing?', 'How is your day?'],\n",
+       "   'responses': [\"I'm good, all's good, thanks. How about you?\"]},\n",
+       "  {'tag': 'user response',\n",
+       "   'patterns': [\"I'm good\",\n",
+       "    'Im good',\n",
+       "    'Im doing good',\n",
+       "    'I am good',\n",
+       "    'I am okay'],\n",
+       "   'responses': ['Great to hear you are doing good.']},\n",
+       "  {'tag': 'goodbye',\n",
+       "   'patterns': ['Bye', 'See you later', 'Goodbye'],\n",
+       "   'responses': ['See you later, thanks for visiting. Hope I was able to help!',\n",
+       "    'Have a nice day. Hope I was able to help!']},\n",
+       "  {'tag': 'thanks',\n",
+       "   'patterns': ['Thanks',\n",
+       "    'Thank you',\n",
+       "    \"That's helpful\",\n",
+       "    \"Thank's a lot!\",\n",
+       "    'thnx',\n",
+       "    'ok thnx'],\n",
+       "   'responses': ['Happy to help!',\n",
+       "    'Any time!',\n",
+       "    'My pleasure',\n",
+       "    'Anything else in which I can be of assistance?']},\n",
+       "  {'tag': 'items',\n",
+       "   'patterns': ['Which items do you have?',\n",
+       "    'What kinds of items are there?',\n",
+       "    'What do you sell?',\n",
+       "    'What do you offer?',\n",
+       "    'What can I buy?'],\n",
+       "   'responses': [\"Search your preference in our flagship store's search bar to see all available products. \"]},\n",
+       "  {'tag': 'payments',\n",
+       "   'patterns': ['Do you take credit cards?',\n",
+       "    'Do you accept Mastercard?',\n",
+       "    'Can I pay with Cash?',\n",
+       "    'Are you cash only?',\n",
+       "    'What are your payment methods?',\n",
+       "    'How do I pay?'],\n",
+       "   'responses': ['We accept VISA, Mastercard and Cash']},\n",
+       "  {'tag': 'track',\n",
+       "   'patterns': ['How can I track my order',\n",
+       "    'I want to track my order',\n",
+       "    'Can I track my order',\n",
+       "    'Track order',\n",
+       "    'Where is my order'],\n",
+       "   'responses': [\"Visit the order page, click on the specific order, select 'track my order', and check the status\"]},\n",
+       "  {'tag': 'delivery',\n",
+       "   'patterns': ['How long does delivery take?',\n",
+       "    'How long does shipping take?',\n",
+       "    'Please Tell me about my delivery',\n",
+       "    'When do I get my delivery?',\n",
+       "    'Why is my order not delivered yet',\n",
+       "    'Why is my order taking so much time be to delivered',\n",
+       "    'where is my order'],\n",
+       "   'responses': ['Delivery and shipping takes 4-5 days. Please bear with us!']},\n",
+       "  {'tag': 'confirm',\n",
+       "   'patterns': [\"My payment was processed successfully but I didn't get any order confirmation. What should I do?\",\n",
+       "    'Payment was completed but no confirmation',\n",
+       "    'Order was not confirmed',\n",
+       "    'Money deducted but order is not confirmed'],\n",
+       "   'responses': ['Daraz sends you an Email & SMS upon confirmation of your order. If it requires manual confirmation, our team will contact you within 24 hours after order placement. Delay in confirmation SMS may occur due to network error, you may receive it with a delay.',\n",
+       "    'It takes upto 24 hours for confirmation, please bear with us! Type Need more help for more assistance. ']},\n",
+       "  {'tag': 'delay',\n",
+       "   'patterns': ['Why is my order delayed? ',\n",
+       "    'Did my order get delayed?',\n",
+       "    'Why is my order not delivered yet?',\n",
+       "    'When do I get my delivery?'],\n",
+       "   'responses': ['We are really sorry if there has been a delay in your order! If your order is within delivery period, We recommend you to please wait during this period since our Delivery Heroes make 3 attempts to deliver your order!',\n",
+       "    \"If your order is past up to 3 days after delivery period, There may be logistic issues causing a delay in delivery. Please type 'Common reasons for delivery delay' to know more about this.\",\n",
+       "    'We appreciate if you could wait for your items as most orders are delivered successfully within this period.',\n",
+       "    \"If your order is past more than 3 days, Since there may be unexpected issues causing delivery delays, you can click on 'Need more Help' for further assistance.\"]},\n",
+       "  {'tag': 'reasons',\n",
+       "   'patterns': ['Common reasons for delivery delay',\n",
+       "    'common reasons for delivery delay',\n",
+       "    'reasons for delay',\n",
+       "    'delivery delay',\n",
+       "    'shipping delay'],\n",
+       "   'responses': ['Reasons include Seller Sourcing Issues, Courier Issues, Cross Border shipment delay, Wrong Address or Phone Number, and Unavailability of Customer. ']},\n",
+       "  {'tag': 'more',\n",
+       "   'patterns': ['Need more help',\n",
+       "    'help me more',\n",
+       "    'can I talk to an agent',\n",
+       "    'can I call customer service',\n",
+       "    'customer support number',\n",
+       "    'how to contact customer service',\n",
+       "    'customer service number',\n",
+       "    'contact number for help',\n",
+       "    'helpline number',\n",
+       "    'How to become a seller',\n",
+       "    'How to contact a seller'],\n",
+       "   'responses': ['Contact us for further information here: Phone: 021-111-132729. Timings are from 09:00 AM to 05:00 PM from Monday to Saturday.']},\n",
+       "  {'tag': 'cancel',\n",
+       "   'patterns': ['Can I cancel my order?',\n",
+       "    'Why is my order cancelled?',\n",
+       "    'How do I can cancel my order',\n",
+       "    'Can I cancel an order',\n",
+       "    'I want to cancel my order'],\n",
+       "   'responses': ['Order can only be cancelled within 7 days of placement. Digital goods do not qualify for refund.',\n",
+       "    'Visit my orders page to check status of specific orders.']},\n",
+       "  {'tag': 'refund',\n",
+       "   'patterns': ['Can I refund an item.',\n",
+       "    'I want to refund an item',\n",
+       "    'can I refund my order',\n",
+       "    'Are refunds available'],\n",
+       "   'responses': ['Refund can only be issued within 7 days of placement. Digital goods do not qualify for refund.',\n",
+       "    'Visit my orders page to check for specific orders.']},\n",
+       "  {'tag': 'refund status',\n",
+       "   'patterns': [\"Why is the status Refunded when it's not credited?\",\n",
+       "    'No refund even though status is refunded',\n",
+       "    'No refund when status says refunded',\n",
+       "    'I did not receive my refund money',\n",
+       "    'Refund money not received'],\n",
+       "   'responses': ['Please be patient as refunds take upto 30 days to receive into bank. ']},\n",
+       "  {'tag': 'refund',\n",
+       "   'patterns': ['Can I refund an item.',\n",
+       "    'I want to refund an item',\n",
+       "    'can I refund my order',\n",
+       "    'Are refunds available'],\n",
+       "   'responses': ['Refund can only be issued within 7 days of placement. Digital goods do not qualify for refund.',\n",
+       "    'Visit my orders page to check for specific orders.']},\n",
+       "  {'tag': 'return',\n",
+       "   'patterns': ['How long do return items take',\n",
+       "    'When will my items be returned',\n",
+       "    'When can I get a refund for return items?',\n",
+       "    'Are refunds available for return?',\n",
+       "    'What is the return status ?'],\n",
+       "   'responses': ['Return takes 6 to 10 business days.',\n",
+       "    \" There are 2 parts to the return process. In the first part, we check the items received from you to verify the issue highlighted in your return claim. Once we've verified and accepted your return, we initiate the refund process which takes 1 business day for Daraz wallet and 2-10 business days for bank or card. \"]},\n",
+       "  {'tag': 'use voucher',\n",
+       "   'patterns': ['How to use a voucher?',\n",
+       "    'Can I use a voucher?',\n",
+       "    'Are there any vouchers?'],\n",
+       "   'responses': ['You can add a voucher by clicking on My Cart > Check Out > Enter Voucher Code > APPLY. ']},\n",
+       "  {'tag': 'profile info',\n",
+       "   'patterns': ['How can I change my profile information',\n",
+       "    'I want to change my password',\n",
+       "    'I want to change my phone number',\n",
+       "    'I want to change my address',\n",
+       "    'I want to Reset my password',\n",
+       "    'I want to delete my account',\n",
+       "    'delete my account'],\n",
+       "   'responses': [\"You can easily add or change your account details by following the steps below: Step 1: Click on 'Account', Step 2: Click on 'Manage my account' from the icon, Step 3: You change or edit your name, address, email address, mobile number, etc., Step 4: Fill in the required details, and click on Save. Note: You can also change your delivery address from the Checkout page before proceeding to pay.\"]},\n",
+       "  {'tag': 'mobile app',\n",
+       "   'patterns': ['Can I download a mobile app for this?',\n",
+       "    'Mobile app',\n",
+       "    'Download mobile app',\n",
+       "    'Is there a mobile app'],\n",
+       "   'responses': ['You can download the E-commerce  Mobile App from both IOS App Store, and Google Play Store. ']}]}"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "intents\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "9be36eb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "this is tags ['greeting', 'greeting', 'greeting', 'greeting', 'greeting', 'personal', 'personal', 'personal', 'user response', 'user response', 'user response', 'user response', 'user response', 'goodbye', 'goodbye', 'goodbye', 'thanks', 'thanks', 'thanks', 'thanks', 'thanks', 'thanks', 'items', 'items', 'items', 'items', 'items', 'payments', 'payments', 'payments', 'payments', 'payments', 'payments', 'track', 'track', 'track', 'track', 'track', 'delivery', 'delivery', 'delivery', 'delivery', 'delivery', 'delivery', 'delivery', 'confirm', 'confirm', 'confirm', 'confirm', 'delay', 'delay', 'delay', 'delay', 'reasons', 'reasons', 'reasons', 'reasons', 'reasons', 'more', 'more', 'more', 'more', 'more', 'more', 'more', 'more', 'more', 'more', 'more', 'cancel', 'cancel', 'cancel', 'cancel', 'cancel', 'refund', 'refund', 'refund', 'refund', 'refund status', 'refund status', 'refund status', 'refund status', 'refund status', 'refund', 'refund', 'refund', 'refund', 'return', 'return', 'return', 'return', 'return', 'use voucher', 'use voucher', 'use voucher', 'profile info', 'profile info', 'profile info', 'profile info', 'profile info', 'profile info', 'profile info', 'mobile app', 'mobile app', 'mobile app', 'mobile app']\n",
+      "this is input ['Hi', 'Hey', 'Is anyone there?', 'Hello', 'Good day', 'How are you?', 'How are you doing?', 'How is your day?', \"I'm good\", 'Im good', 'Im doing good', 'I am good', 'I am okay', 'Bye', 'See you later', 'Goodbye', 'Thanks', 'Thank you', \"That's helpful\", \"Thank's a lot!\", 'thnx', 'ok thnx', 'Which items do you have?', 'What kinds of items are there?', 'What do you sell?', 'What do you offer?', 'What can I buy?', 'Do you take credit cards?', 'Do you accept Mastercard?', 'Can I pay with Cash?', 'Are you cash only?', 'What are your payment methods?', 'How do I pay?', 'How can I track my order', 'I want to track my order', 'Can I track my order', 'Track order', 'Where is my order', 'How long does delivery take?', 'How long does shipping take?', 'Please Tell me about my delivery', 'When do I get my delivery?', 'Why is my order not delivered yet', 'Why is my order taking so much time be to delivered', 'where is my order', \"My payment was processed successfully but I didn't get any order confirmation. What should I do?\", 'Payment was completed but no confirmation', 'Order was not confirmed', 'Money deducted but order is not confirmed', 'Why is my order delayed? ', 'Did my order get delayed?', 'Why is my order not delivered yet?', 'When do I get my delivery?', 'Common reasons for delivery delay', 'common reasons for delivery delay', 'reasons for delay', 'delivery delay', 'shipping delay', 'Need more help', 'help me more', 'can I talk to an agent', 'can I call customer service', 'customer support number', 'how to contact customer service', 'customer service number', 'contact number for help', 'helpline number', 'How to become a seller', 'How to contact a seller', 'Can I cancel my order?', 'Why is my order cancelled?', 'How do I can cancel my order', 'Can I cancel an order', 'I want to cancel my order', 'Can I refund an item.', 'I want to refund an item', 'can I refund my order', 'Are refunds available', \"Why is the status Refunded when it's not credited?\", 'No refund even though status is refunded', 'No refund when status says refunded', 'I did not receive my refund money', 'Refund money not received', 'Can I refund an item.', 'I want to refund an item', 'can I refund my order', 'Are refunds available', 'How long do return items take', 'When will my items be returned', 'When can I get a refund for return items?', 'Are refunds available for return?', 'What is the return status ?', 'How to use a voucher?', 'Can I use a voucher?', 'Are there any vouchers?', 'How can I change my profile information', 'I want to change my password', 'I want to change my phone number', 'I want to change my address', 'I want to Reset my password', 'I want to delete my account', 'delete my account', 'Can I download a mobile app for this?', 'Mobile app', 'Download mobile app', 'Is there a mobile app']\n",
+      "this is responses {'greeting': ['Hey :-) My name is Jarvis!', 'Hello, thanks for visiting. My name is Jarvis!', 'Hi there, My name is Jarvis!. What can I do for you?', 'Hi there, My name is Jarvis! How can I help?'], 'personal': [\"I'm good, all's good, thanks. How about you?\"], 'user response': ['Great to hear you are doing good.'], 'goodbye': ['See you later, thanks for visiting. Hope I was able to help!', 'Have a nice day. Hope I was able to help!'], 'thanks': ['Happy to help!', 'Any time!', 'My pleasure', 'Anything else in which I can be of assistance?'], 'items': [\"Search your preference in our flagship store's search bar to see all available products. \"], 'payments': ['We accept VISA, Mastercard and Cash'], 'track': [\"Visit the order page, click on the specific order, select 'track my order', and check the status\"], 'delivery': ['Delivery and shipping takes 4-5 days. Please bear with us!'], 'confirm': ['Daraz sends you an Email & SMS upon confirmation of your order. If it requires manual confirmation, our team will contact you within 24 hours after order placement. Delay in confirmation SMS may occur due to network error, you may receive it with a delay.', 'It takes upto 24 hours for confirmation, please bear with us! Type Need more help for more assistance. '], 'delay': ['We are really sorry if there has been a delay in your order! If your order is within delivery period, We recommend you to please wait during this period since our Delivery Heroes make 3 attempts to deliver your order!', \"If your order is past up to 3 days after delivery period, There may be logistic issues causing a delay in delivery. Please type 'Common reasons for delivery delay' to know more about this.\", 'We appreciate if you could wait for your items as most orders are delivered successfully within this period.', \"If your order is past more than 3 days, Since there may be unexpected issues causing delivery delays, you can click on 'Need more Help' for further assistance.\"], 'reasons': ['Reasons include Seller Sourcing Issues, Courier Issues, Cross Border shipment delay, Wrong Address or Phone Number, and Unavailability of Customer. '], 'more': ['Contact us for further information here: Phone: 021-111-132729. Timings are from 09:00 AM to 05:00 PM from Monday to Saturday.'], 'cancel': ['Order can only be cancelled within 7 days of placement. Digital goods do not qualify for refund.', 'Visit my orders page to check status of specific orders.'], 'refund': ['Refund can only be issued within 7 days of placement. Digital goods do not qualify for refund.', 'Visit my orders page to check for specific orders.'], 'refund status': ['Please be patient as refunds take upto 30 days to receive into bank. '], 'return': ['Return takes 6 to 10 business days.', \" There are 2 parts to the return process. In the first part, we check the items received from you to verify the issue highlighted in your return claim. Once we've verified and accepted your return, we initiate the refund process which takes 1 business day for Daraz wallet and 2-10 business days for bank or card. \"], 'use voucher': ['You can add a voucher by clicking on My Cart > Check Out > Enter Voucher Code > APPLY. '], 'profile info': [\"You can easily add or change your account details by following the steps below: Step 1: Click on 'Account', Step 2: Click on 'Manage my account' from the icon, Step 3: You change or edit your name, address, email address, mobile number, etc., Step 4: Fill in the required details, and click on Save. Note: You can also change your delivery address from the Checkout page before proceeding to pay.\"], 'mobile app': ['You can download the E-commerce  Mobile App from both IOS App Store, and Google Play Store. ']}\n"
+     ]
+    }
+   ],
+   "source": [
+    "tags = []\n",
+    "inputs = []\n",
+    "responses = {}\n",
+    "for intent in intents['intents']:\n",
+    "    responses[intent['tag']] = intent[\"responses\"]\n",
+    "    for lines in intent['patterns']:\n",
+    "        inputs.append(lines)\n",
+    "        tags.append(intent['tag'])\n",
+    "\n",
+    "\n",
+    "print(\"this is tags\",tags)\n",
+    "print(\"this is input\",inputs)\n",
+    "print(\"this is responses\",responses)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99a2477a",
+   "metadata": {},
+   "source": [
+    "# Data preprocessing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d7a183c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = pd.DataFrame({\"inputs\":inputs,\n",
+    "                    \"tags\":tags})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "135fdeac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Hi</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Hey</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Is anyone there?</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Hello</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Good day</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101</th>\n",
+       "      <td>delete my account</td>\n",
+       "      <td>profile info</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>Can I download a mobile app for this?</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>Mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>Download mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>105</th>\n",
+       "      <td>Is there a mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>106 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    inputs          tags\n",
+       "0                                       Hi      greeting\n",
+       "1                                      Hey      greeting\n",
+       "2                         Is anyone there?      greeting\n",
+       "3                                    Hello      greeting\n",
+       "4                                 Good day      greeting\n",
+       "..                                     ...           ...\n",
+       "101                      delete my account  profile info\n",
+       "102  Can I download a mobile app for this?    mobile app\n",
+       "103                             Mobile app    mobile app\n",
+       "104                    Download mobile app    mobile app\n",
+       "105                  Is there a mobile app    mobile app\n",
+       "\n",
+       "[106 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc2d572b",
+   "metadata": {},
+   "source": [
+    "Removing punctuations and converting text to lower case"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "d4d01cdd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data[\"inputs\"] = data[\"inputs\"].apply(lambda wrd:[ltrs.lower() for ltrs in wrd if ltrs not in string.punctuation])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "69955065",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data[\"inputs\"] = data[\"inputs\"].apply(lambda wrd: ''.join(wrd))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "be5a32cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>inputs</th>\n",
+       "      <th>tags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>hi</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>hey</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>is anyone there</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>hello</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>good day</td>\n",
+       "      <td>greeting</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101</th>\n",
+       "      <td>delete my account</td>\n",
+       "      <td>profile info</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>can i download a mobile app for this</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>download mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>105</th>\n",
+       "      <td>is there a mobile app</td>\n",
+       "      <td>mobile app</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>106 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                   inputs          tags\n",
+       "0                                      hi      greeting\n",
+       "1                                     hey      greeting\n",
+       "2                         is anyone there      greeting\n",
+       "3                                   hello      greeting\n",
+       "4                                good day      greeting\n",
+       "..                                    ...           ...\n",
+       "101                     delete my account  profile info\n",
+       "102  can i download a mobile app for this    mobile app\n",
+       "103                            mobile app    mobile app\n",
+       "104                   download mobile app    mobile app\n",
+       "105                 is there a mobile app    mobile app\n",
+       "\n",
+       "[106 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "670aff5b",
+   "metadata": {},
+   "source": [
+    "# Tokenising and Padding"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "85d8c279",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tokenizer = Tokenizer(num_words = 2000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "de43e1fb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tokenizer.fit_on_texts(data[\"inputs\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c3830601",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train = tokenizer.texts_to_sequences(data[\"inputs\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e5e6be08",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[[81],\n",
+       " [82],\n",
+       " [6, 83, 26],\n",
+       " [84],\n",
+       " [21, 52],\n",
+       " [7, 11, 10],\n",
+       " [7, 11, 10, 53],\n",
+       " [7, 6, 54, 52],\n",
+       " [37, 21],\n",
+       " [37, 21],\n",
+       " [37, 53, 21],\n",
+       " [1, 55, 21],\n",
+       " [1, 55, 85],\n",
+       " [86],\n",
+       " [87, 10, 88],\n",
+       " [89],\n",
+       " [56],\n",
+       " [90, 10],\n",
+       " [91, 92],\n",
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+       " [57],\n",
+       " [94, 57],\n",
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+       " [14, 8, 10, 100],\n",
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+       " [14, 11, 54, 38, 108],\n",
+       " [7, 8, 1, 58],\n",
+       " [7, 4, 1, 28, 2, 3],\n",
+       " [1, 12, 5, 28, 2, 3],\n",
+       " [4, 1, 28, 2, 3],\n",
+       " [28, 3],\n",
+       " [60, 6, 2, 3],\n",
+       " [7, 39, 61, 15, 27],\n",
+       " [7, 39, 61, 62, 27],\n",
+       " [109, 110, 63, 111, 2, 15],\n",
+       " [18, 8, 1, 23, 2, 15],\n",
+       " [19, 6, 2, 3, 16, 40, 64],\n",
+       " [19, 6, 2, 3, 112, 113, 114, 115, 65, 5, 40],\n",
+       " [60, 6, 2, 3],\n",
+       " [2, 38, 41, 116, 117, 42, 1, 118, 23, 66, 3, 67, 14, 119, 1, 8],\n",
+       " [38, 41, 120, 42, 43, 67],\n",
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+       " [44, 121, 42, 3, 6, 16, 68],\n",
+       " [19, 6, 2, 3, 69],\n",
+       " [70, 2, 3, 23, 69],\n",
+       " [19, 6, 2, 3, 16, 40, 64],\n",
+       " [18, 8, 1, 23, 2, 15],\n",
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+       " [45, 17, 24],\n",
+       " [15, 24],\n",
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+       " [46, 63, 72],\n",
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+       " [29, 47, 25],\n",
+       " [48, 25, 17, 46],\n",
+       " [127, 25],\n",
+       " [7, 5, 128, 13, 73],\n",
+       " [7, 5, 48, 13, 73],\n",
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+       " [19, 6, 2, 3, 129],\n",
+       " [7, 8, 1, 4, 30, 2, 3],\n",
+       " [4, 1, 30, 20, 3],\n",
+       " [1, 12, 5, 30, 2, 3],\n",
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+       " [1, 12, 5, 9, 20, 31],\n",
+       " [4, 1, 9, 2, 3],\n",
+       " [11, 49, 50],\n",
+       " [19, 6, 74, 32, 51, 18, 130, 16, 131],\n",
+       " [43, 9, 132, 133, 32, 6, 51],\n",
+       " [43, 9, 18, 32, 134, 51],\n",
+       " [1, 70, 16, 135, 2, 9, 44],\n",
+       " [9, 44, 16, 136],\n",
+       " [4, 1, 9, 20, 31],\n",
+       " [1, 12, 5, 9, 20, 31],\n",
+       " [4, 1, 9, 2, 3],\n",
+       " [11, 49, 50],\n",
+       " [7, 39, 8, 33, 22, 27],\n",
+       " [18, 137, 2, 22, 65, 138],\n",
+       " [18, 4, 1, 23, 13, 9, 17, 33, 22],\n",
+       " [11, 49, 50, 17, 33],\n",
+       " [14, 6, 74, 33, 32],\n",
+       " [7, 5, 75, 13, 76],\n",
+       " [4, 1, 75, 13, 76],\n",
+       " [11, 26, 66, 139],\n",
+       " [7, 4, 1, 34, 2, 140, 141],\n",
+       " [1, 12, 5, 34, 2, 77],\n",
+       " [1, 12, 5, 34, 2, 142, 25],\n",
+       " [1, 12, 5, 34, 2, 143],\n",
+       " [1, 12, 5, 144, 2, 77],\n",
+       " [1, 12, 5, 78, 2, 79],\n",
+       " [78, 2, 79],\n",
+       " [4, 1, 80, 13, 35, 36, 17, 145],\n",
+       " [35, 36],\n",
+       " [80, 35, 36],\n",
+       " [6, 26, 13, 35, 36]]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ae4c7fde",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train = pad_sequences(train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a46ac56",
+   "metadata": {},
+   "source": [
+    "# Encoding the output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "a62968c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "le = LabelEncoder()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ce0cb87c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_train = le.fit_transform(data[\"tags\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "62c2ceec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input_shape = x_train.shape[1]\n",
+    "unique_words = len(tokenizer.word_index)\n",
+    "output_length = le.classes_.shape[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79796b1c",
+   "metadata": {},
+   "source": [
+    "# Building the neural network "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "276f95cf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = tf.keras.Sequential()\n",
+    "model.add(Input(shape=(input_shape,)))\n",
+    "model.add(Embedding(unique_words+1, 10, input_length= (input_shape,)))\n",
+    "model.add(LSTM(10, return_sequences=True))\n",
+    "model.add(Flatten())\n",
+    "model.add(Dense(units= 10, activation='relu'))\n",
+    "model.add(Dense(units= 5, activation='relu'))\n",
+    "model.add(Dense(units= output_length, activation='softmax'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "ff3653bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.compile(loss = \"sparse_categorical_crossentropy\", optimizer ='adam', metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "b0c80d95",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/300\n",
+      "4/4 [==============================] - 5s 18ms/step - loss: 2.9957 - accuracy: 0.0377\n",
+      "Epoch 2/300\n",
+      "4/4 [==============================] - 0s 26ms/step - loss: 2.9942 - accuracy: 0.0566\n",
+      "Epoch 3/300\n",
+      "4/4 [==============================] - 0s 25ms/step - loss: 2.9926 - accuracy: 0.0472\n",
+      "Epoch 4/300\n",
+      "4/4 [==============================] - 0s 23ms/step - loss: 2.9915 - accuracy: 0.0472\n",
+      "Epoch 5/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 2.9901 - accuracy: 0.0472\n",
+      "Epoch 6/300\n",
+      "4/4 [==============================] - 0s 23ms/step - loss: 2.9886 - accuracy: 0.0472\n",
+      "Epoch 7/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 2.9875 - accuracy: 0.0472\n",
+      "Epoch 8/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 2.9855 - accuracy: 0.0472\n",
+      "Epoch 9/300\n",
+      "4/4 [==============================] - 0s 21ms/step - loss: 2.9839 - accuracy: 0.0472\n",
+      "Epoch 10/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.9821 - accuracy: 0.0472\n",
+      "Epoch 11/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 2.9799 - accuracy: 0.0472\n",
+      "Epoch 12/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.9772 - accuracy: 0.0472\n",
+      "Epoch 13/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.9750 - accuracy: 0.0472\n",
+      "Epoch 14/300\n",
+      "4/4 [==============================] - 0s 25ms/step - loss: 2.9727 - accuracy: 0.0472\n",
+      "Epoch 15/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.9696 - accuracy: 0.0472\n",
+      "Epoch 16/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.9657 - accuracy: 0.0472\n",
+      "Epoch 17/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 2.9627 - accuracy: 0.0472\n",
+      "Epoch 18/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.9584 - accuracy: 0.0472\n",
+      "Epoch 19/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 2.9541 - accuracy: 0.0566\n",
+      "Epoch 20/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.9487 - accuracy: 0.0566\n",
+      "Epoch 21/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 2.9424 - accuracy: 0.0566\n",
+      "Epoch 22/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 2.9345 - accuracy: 0.0566\n",
+      "Epoch 23/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.9266 - accuracy: 0.0566\n",
+      "Epoch 24/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 2.9174 - accuracy: 0.0566\n",
+      "Epoch 25/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 2.9064 - accuracy: 0.0566\n",
+      "Epoch 26/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.8968 - accuracy: 0.0566\n",
+      "Epoch 27/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 2.8842 - accuracy: 0.0472\n",
+      "Epoch 28/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.8669 - accuracy: 0.0660\n",
+      "Epoch 29/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 2.8536 - accuracy: 0.0849\n",
+      "Epoch 30/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.8389 - accuracy: 0.1038\n",
+      "Epoch 31/300\n",
+      "4/4 [==============================] - 0s 33ms/step - loss: 2.8202 - accuracy: 0.1038\n",
+      "Epoch 32/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.8037 - accuracy: 0.0755\n",
+      "Epoch 33/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.7842 - accuracy: 0.0943\n",
+      "Epoch 34/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.7634 - accuracy: 0.1132\n",
+      "Epoch 35/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 2.7431 - accuracy: 0.1038\n",
+      "Epoch 36/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.7266 - accuracy: 0.1038\n",
+      "Epoch 37/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.7078 - accuracy: 0.1226\n",
+      "Epoch 38/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.6989 - accuracy: 0.1321\n",
+      "Epoch 39/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 2.6746 - accuracy: 0.1226\n",
+      "Epoch 40/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 2.6508 - accuracy: 0.1321\n",
+      "Epoch 41/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.6356 - accuracy: 0.1038\n",
+      "Epoch 42/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 2.6188 - accuracy: 0.1226\n",
+      "Epoch 43/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.5995 - accuracy: 0.1415\n",
+      "Epoch 44/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.5805 - accuracy: 0.1604\n",
+      "Epoch 45/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.5646 - accuracy: 0.1509\n",
+      "Epoch 46/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.5544 - accuracy: 0.1415\n",
+      "Epoch 47/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 2.5290 - accuracy: 0.1321\n",
+      "Epoch 48/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.5107 - accuracy: 0.1321\n",
+      "Epoch 49/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 2.4965 - accuracy: 0.1604\n",
+      "Epoch 50/300\n",
+      "4/4 [==============================] - 0s 23ms/step - loss: 2.4780 - accuracy: 0.1415\n",
+      "Epoch 51/300\n",
+      "4/4 [==============================] - 0s 18ms/step - loss: 2.4668 - accuracy: 0.1604\n",
+      "Epoch 52/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.4549 - accuracy: 0.1509\n",
+      "Epoch 53/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 2.4420 - accuracy: 0.1792\n",
+      "Epoch 54/300\n",
+      "4/4 [==============================] - 0s 32ms/step - loss: 2.4298 - accuracy: 0.1226\n",
+      "Epoch 55/300\n",
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+      "Epoch 56/300\n",
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+      "Epoch 63/300\n",
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+      "Epoch 64/300\n",
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+      "Epoch 65/300\n",
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+      "Epoch 66/300\n",
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+      "Epoch 67/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 2.2399 - accuracy: 0.2736\n",
+      "Epoch 68/300\n",
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+      "Epoch 69/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 2.1888 - accuracy: 0.3113\n",
+      "Epoch 70/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 2.1570 - accuracy: 0.2736\n",
+      "Epoch 71/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 2.1334 - accuracy: 0.2925\n",
+      "Epoch 72/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.0892 - accuracy: 0.3113\n",
+      "Epoch 73/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 2.0595 - accuracy: 0.3019\n",
+      "Epoch 74/300\n",
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+      "Epoch 75/300\n",
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+      "Epoch 76/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.9932 - accuracy: 0.3396\n",
+      "Epoch 77/300\n",
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+      "Epoch 78/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.9400 - accuracy: 0.3679\n",
+      "Epoch 79/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.9266 - accuracy: 0.3679\n",
+      "Epoch 80/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.8973 - accuracy: 0.3774\n",
+      "Epoch 81/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 1.8764 - accuracy: 0.3585\n",
+      "Epoch 82/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.8587 - accuracy: 0.3585\n",
+      "Epoch 83/300\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.8384 - accuracy: 0.3962\n",
+      "Epoch 84/300\n",
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+      "Epoch 85/300\n",
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+      "Epoch 86/300\n",
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+      "Epoch 87/300\n",
+      "4/4 [==============================] - 0s 18ms/step - loss: 1.8745 - accuracy: 0.3491\n",
+      "Epoch 88/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.7924 - accuracy: 0.3868\n",
+      "Epoch 89/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.7711 - accuracy: 0.3868\n",
+      "Epoch 90/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.7812 - accuracy: 0.3868\n",
+      "Epoch 91/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.7659 - accuracy: 0.3868\n",
+      "Epoch 92/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 1.7247 - accuracy: 0.3868\n",
+      "Epoch 93/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 1.7227 - accuracy: 0.3774\n",
+      "Epoch 94/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.6906 - accuracy: 0.3962\n",
+      "Epoch 95/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 1.6828 - accuracy: 0.4057\n",
+      "Epoch 96/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.6660 - accuracy: 0.4057\n",
+      "Epoch 97/300\n",
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+      "Epoch 98/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.6455 - accuracy: 0.4057\n",
+      "Epoch 99/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.6288 - accuracy: 0.4245\n",
+      "Epoch 100/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.6147 - accuracy: 0.4151\n",
+      "Epoch 101/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.6044 - accuracy: 0.4245\n",
+      "Epoch 102/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.5936 - accuracy: 0.4151\n",
+      "Epoch 103/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.5807 - accuracy: 0.4245\n",
+      "Epoch 104/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.5685 - accuracy: 0.4340\n",
+      "Epoch 105/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.5581 - accuracy: 0.4245\n",
+      "Epoch 106/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.5478 - accuracy: 0.4340\n",
+      "Epoch 107/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 1.5343 - accuracy: 0.4434\n",
+      "Epoch 108/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.5255 - accuracy: 0.4434\n",
+      "Epoch 109/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.5190 - accuracy: 0.4528\n",
+      "Epoch 110/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 1.5039 - accuracy: 0.4340\n",
+      "Epoch 111/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.4925 - accuracy: 0.4717\n",
+      "Epoch 112/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.4826 - accuracy: 0.4528\n",
+      "Epoch 113/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.4677 - accuracy: 0.4811\n",
+      "Epoch 114/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 1.4598 - accuracy: 0.4811\n",
+      "Epoch 115/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.4476 - accuracy: 0.4811\n",
+      "Epoch 116/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.4351 - accuracy: 0.5000\n",
+      "Epoch 117/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.4275 - accuracy: 0.5094\n",
+      "Epoch 118/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.4234 - accuracy: 0.4717\n",
+      "Epoch 119/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.4095 - accuracy: 0.5377\n",
+      "Epoch 120/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.3962 - accuracy: 0.5283\n",
+      "Epoch 121/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 1.3837 - accuracy: 0.5283\n",
+      "Epoch 122/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.3695 - accuracy: 0.5472\n",
+      "Epoch 123/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.3695 - accuracy: 0.5472\n",
+      "Epoch 124/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.3526 - accuracy: 0.5377\n",
+      "Epoch 125/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.3400 - accuracy: 0.5472\n",
+      "Epoch 126/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.3272 - accuracy: 0.5377\n",
+      "Epoch 127/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 1.3131 - accuracy: 0.5566\n",
+      "Epoch 128/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.3025 - accuracy: 0.5755\n",
+      "Epoch 129/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.2953 - accuracy: 0.5566\n",
+      "Epoch 130/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.2862 - accuracy: 0.5660\n",
+      "Epoch 131/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.2733 - accuracy: 0.5755\n",
+      "Epoch 132/300\n",
+      "4/4 [==============================] - 0s 18ms/step - loss: 1.2628 - accuracy: 0.5660\n",
+      "Epoch 133/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 1.2555 - accuracy: 0.5660\n",
+      "Epoch 134/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.2439 - accuracy: 0.5660\n",
+      "Epoch 135/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.2369 - accuracy: 0.5849\n",
+      "Epoch 136/300\n",
+      "4/4 [==============================] - 0s 24ms/step - loss: 1.2314 - accuracy: 0.5849\n",
+      "Epoch 137/300\n",
+      "4/4 [==============================] - 0s 21ms/step - loss: 1.2220 - accuracy: 0.5755\n",
+      "Epoch 138/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.2022 - accuracy: 0.6038\n",
+      "Epoch 139/300\n",
+      "4/4 [==============================] - 0s 21ms/step - loss: 1.1976 - accuracy: 0.5660\n",
+      "Epoch 140/300\n",
+      "4/4 [==============================] - 0s 21ms/step - loss: 1.1933 - accuracy: 0.6226\n",
+      "Epoch 141/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.1772 - accuracy: 0.5849\n",
+      "Epoch 142/300\n",
+      "4/4 [==============================] - 0s 18ms/step - loss: 1.1582 - accuracy: 0.6415\n",
+      "Epoch 143/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 1.1558 - accuracy: 0.6038\n",
+      "Epoch 144/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.1476 - accuracy: 0.6415\n",
+      "Epoch 145/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.1494 - accuracy: 0.6038\n",
+      "Epoch 146/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.1180 - accuracy: 0.6415\n",
+      "Epoch 147/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.1061 - accuracy: 0.6698\n",
+      "Epoch 148/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.0961 - accuracy: 0.6792\n",
+      "Epoch 149/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 1.0859 - accuracy: 0.6792\n",
+      "Epoch 150/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 1.0752 - accuracy: 0.6698\n",
+      "Epoch 151/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.0718 - accuracy: 0.6698\n",
+      "Epoch 152/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 1.0623 - accuracy: 0.6887\n",
+      "Epoch 153/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.0485 - accuracy: 0.6698\n",
+      "Epoch 154/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 1.0430 - accuracy: 0.6792\n",
+      "Epoch 155/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.0333 - accuracy: 0.6792\n",
+      "Epoch 156/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 1.0231 - accuracy: 0.6698\n",
+      "Epoch 157/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 1.0159 - accuracy: 0.6698\n",
+      "Epoch 158/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 1.0062 - accuracy: 0.6792\n",
+      "Epoch 159/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 1.0035 - accuracy: 0.6604\n",
+      "Epoch 160/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.9985 - accuracy: 0.6698\n",
+      "Epoch 161/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.9916 - accuracy: 0.6792\n",
+      "Epoch 162/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.9908 - accuracy: 0.6698\n",
+      "Epoch 163/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.9753 - accuracy: 0.6792\n",
+      "Epoch 164/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.9637 - accuracy: 0.6698\n",
+      "Epoch 165/300\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4/4 [==============================] - 0s 25ms/step - loss: 0.9546 - accuracy: 0.6981\n",
+      "Epoch 166/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.9417 - accuracy: 0.6887\n",
+      "Epoch 167/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.9349 - accuracy: 0.6792\n",
+      "Epoch 168/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.9311 - accuracy: 0.7170\n",
+      "Epoch 169/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.9177 - accuracy: 0.7264\n",
+      "Epoch 170/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.9179 - accuracy: 0.7547\n",
+      "Epoch 171/300\n",
+      "4/4 [==============================] - 0s 22ms/step - loss: 0.9421 - accuracy: 0.6887\n",
+      "Epoch 172/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.9317 - accuracy: 0.7453\n",
+      "Epoch 173/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8959 - accuracy: 0.7453\n",
+      "Epoch 174/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.8945 - accuracy: 0.7736\n",
+      "Epoch 175/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.8818 - accuracy: 0.7547\n",
+      "Epoch 176/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.8719 - accuracy: 0.7547\n",
+      "Epoch 177/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.8663 - accuracy: 0.7547\n",
+      "Epoch 178/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8562 - accuracy: 0.7453\n",
+      "Epoch 179/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.8477 - accuracy: 0.7547\n",
+      "Epoch 180/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8411 - accuracy: 0.7547\n",
+      "Epoch 181/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.8376 - accuracy: 0.7642\n",
+      "Epoch 182/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8302 - accuracy: 0.7453\n",
+      "Epoch 183/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8302 - accuracy: 0.7736\n",
+      "Epoch 184/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.8167 - accuracy: 0.7547\n",
+      "Epoch 185/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.8099 - accuracy: 0.7830\n",
+      "Epoch 186/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.8032 - accuracy: 0.7642\n",
+      "Epoch 187/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.7926 - accuracy: 0.7358\n",
+      "Epoch 188/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.7844 - accuracy: 0.7642\n",
+      "Epoch 189/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.7773 - accuracy: 0.7736\n",
+      "Epoch 190/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.7735 - accuracy: 0.7736\n",
+      "Epoch 191/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.7670 - accuracy: 0.7642\n",
+      "Epoch 192/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.7621 - accuracy: 0.7736\n",
+      "Epoch 193/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.7567 - accuracy: 0.7642\n",
+      "Epoch 194/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.7571 - accuracy: 0.8113\n",
+      "Epoch 195/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.7458 - accuracy: 0.7830\n",
+      "Epoch 196/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.7406 - accuracy: 0.7830\n",
+      "Epoch 197/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.7315 - accuracy: 0.7830\n",
+      "Epoch 198/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.7355 - accuracy: 0.7830\n",
+      "Epoch 199/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.7233 - accuracy: 0.7736\n",
+      "Epoch 200/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.7200 - accuracy: 0.7830\n",
+      "Epoch 201/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.7127 - accuracy: 0.8302\n",
+      "Epoch 202/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.7090 - accuracy: 0.7830\n",
+      "Epoch 203/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.7013 - accuracy: 0.7925\n",
+      "Epoch 204/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6933 - accuracy: 0.8113\n",
+      "Epoch 205/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6898 - accuracy: 0.8208\n",
+      "Epoch 206/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.6867 - accuracy: 0.8019\n",
+      "Epoch 207/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.6811 - accuracy: 0.8019\n",
+      "Epoch 208/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.6792 - accuracy: 0.8302\n",
+      "Epoch 209/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.6717 - accuracy: 0.8113\n",
+      "Epoch 210/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6672 - accuracy: 0.8208\n",
+      "Epoch 211/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6626 - accuracy: 0.8208\n",
+      "Epoch 212/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6606 - accuracy: 0.8302\n",
+      "Epoch 213/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6580 - accuracy: 0.8208\n",
+      "Epoch 214/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6514 - accuracy: 0.8302\n",
+      "Epoch 215/300\n",
+      "4/4 [==============================] - 0s 18ms/step - loss: 0.6482 - accuracy: 0.8302\n",
+      "Epoch 216/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6439 - accuracy: 0.8019\n",
+      "Epoch 217/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.6416 - accuracy: 0.8302\n",
+      "Epoch 218/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.6344 - accuracy: 0.8302\n",
+      "Epoch 219/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6377 - accuracy: 0.8019\n",
+      "Epoch 220/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6330 - accuracy: 0.8302\n",
+      "Epoch 221/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.6255 - accuracy: 0.8208\n",
+      "Epoch 222/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6208 - accuracy: 0.8113\n",
+      "Epoch 223/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.6154 - accuracy: 0.8208\n",
+      "Epoch 224/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 0.6162 - accuracy: 0.8396\n",
+      "Epoch 225/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.6105 - accuracy: 0.8302\n",
+      "Epoch 226/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6083 - accuracy: 0.8208\n",
+      "Epoch 227/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.6040 - accuracy: 0.8396\n",
+      "Epoch 228/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.6034 - accuracy: 0.8396\n",
+      "Epoch 229/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.5976 - accuracy: 0.8396\n",
+      "Epoch 230/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5913 - accuracy: 0.8302\n",
+      "Epoch 231/300\n",
+      "4/4 [==============================] - 0s 20ms/step - loss: 0.5888 - accuracy: 0.8491\n",
+      "Epoch 232/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.5827 - accuracy: 0.8302\n",
+      "Epoch 233/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.5862 - accuracy: 0.8302\n",
+      "Epoch 234/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.5776 - accuracy: 0.8302\n",
+      "Epoch 235/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.5749 - accuracy: 0.8396\n",
+      "Epoch 236/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5712 - accuracy: 0.8396\n",
+      "Epoch 237/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.5677 - accuracy: 0.8396\n",
+      "Epoch 238/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.5647 - accuracy: 0.8396\n",
+      "Epoch 239/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5602 - accuracy: 0.8208\n",
+      "Epoch 240/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.5590 - accuracy: 0.8208\n",
+      "Epoch 241/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.5552 - accuracy: 0.8302\n",
+      "Epoch 242/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5561 - accuracy: 0.8302\n",
+      "Epoch 243/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5496 - accuracy: 0.8491\n",
+      "Epoch 244/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5483 - accuracy: 0.8491\n",
+      "Epoch 245/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5415 - accuracy: 0.8585\n",
+      "Epoch 246/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.5420 - accuracy: 0.8396\n",
+      "Epoch 247/300\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.5381 - accuracy: 0.8585\n",
+      "Epoch 248/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5356 - accuracy: 0.8868\n",
+      "Epoch 249/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5341 - accuracy: 0.8679\n",
+      "Epoch 250/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.5317 - accuracy: 0.8679\n",
+      "Epoch 251/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.5284 - accuracy: 0.8774\n",
+      "Epoch 252/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5288 - accuracy: 0.8868\n",
+      "Epoch 253/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5234 - accuracy: 0.8679\n",
+      "Epoch 254/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.5208 - accuracy: 0.8585\n",
+      "Epoch 255/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5221 - accuracy: 0.8491\n",
+      "Epoch 256/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.5236 - accuracy: 0.8585\n",
+      "Epoch 257/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.5250 - accuracy: 0.8679\n",
+      "Epoch 258/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5197 - accuracy: 0.8491\n",
+      "Epoch 259/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5141 - accuracy: 0.8679\n",
+      "Epoch 260/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.5211 - accuracy: 0.8491\n",
+      "Epoch 261/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.5064 - accuracy: 0.8774\n",
+      "Epoch 262/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.5025 - accuracy: 0.8585\n",
+      "Epoch 263/300\n",
+      "4/4 [==============================] - 0s 19ms/step - loss: 0.5033 - accuracy: 0.8868\n",
+      "Epoch 264/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.4985 - accuracy: 0.8774\n",
+      "Epoch 265/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.4968 - accuracy: 0.8491\n",
+      "Epoch 266/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.4964 - accuracy: 0.8774\n",
+      "Epoch 267/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.4898 - accuracy: 0.8585\n",
+      "Epoch 268/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.4901 - accuracy: 0.8491\n",
+      "Epoch 269/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4946 - accuracy: 0.8396\n",
+      "Epoch 270/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4888 - accuracy: 0.8774\n",
+      "Epoch 271/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.5148 - accuracy: 0.8302\n",
+      "Epoch 272/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.5011 - accuracy: 0.8868\n",
+      "Epoch 273/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4904 - accuracy: 0.8585\n",
+      "Epoch 274/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4819 - accuracy: 0.8679\n",
+      "Epoch 275/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.4805 - accuracy: 0.8774\n",
+      "Epoch 276/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4700 - accuracy: 0.8679\n",
+      "Epoch 277/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4701 - accuracy: 0.8774\n",
+      "Epoch 278/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.4708 - accuracy: 0.8585\n",
+      "Epoch 279/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4622 - accuracy: 0.8679\n",
+      "Epoch 280/300\n",
+      "4/4 [==============================] - 0s 10ms/step - loss: 0.4563 - accuracy: 0.8774\n",
+      "Epoch 281/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4641 - accuracy: 0.8585\n",
+      "Epoch 282/300\n",
+      "4/4 [==============================] - 0s 26ms/step - loss: 0.4780 - accuracy: 0.8679\n",
+      "Epoch 283/300\n",
+      "4/4 [==============================] - 0s 15ms/step - loss: 0.4710 - accuracy: 0.8491\n",
+      "Epoch 284/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.4467 - accuracy: 0.8774\n",
+      "Epoch 285/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.4539 - accuracy: 0.8679\n",
+      "Epoch 286/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.4436 - accuracy: 0.8491\n",
+      "Epoch 287/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4396 - accuracy: 0.8679\n",
+      "Epoch 288/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.4341 - accuracy: 0.8774\n",
+      "Epoch 289/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4352 - accuracy: 0.8868\n",
+      "Epoch 290/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4299 - accuracy: 0.8774\n",
+      "Epoch 291/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4273 - accuracy: 0.8679\n",
+      "Epoch 292/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4268 - accuracy: 0.8868\n",
+      "Epoch 293/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.4227 - accuracy: 0.8774\n",
+      "Epoch 294/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.4199 - accuracy: 0.9057\n",
+      "Epoch 295/300\n",
+      "4/4 [==============================] - 0s 11ms/step - loss: 0.4182 - accuracy: 0.9057\n",
+      "Epoch 296/300\n",
+      "4/4 [==============================] - 0s 16ms/step - loss: 0.4137 - accuracy: 0.9151\n",
+      "Epoch 297/300\n",
+      "4/4 [==============================] - 0s 13ms/step - loss: 0.4121 - accuracy: 0.9151\n",
+      "Epoch 298/300\n",
+      "4/4 [==============================] - 0s 14ms/step - loss: 0.4080 - accuracy: 0.8868\n",
+      "Epoch 299/300\n",
+      "4/4 [==============================] - 0s 17ms/step - loss: 0.4062 - accuracy: 0.8868\n",
+      "Epoch 300/300\n",
+      "4/4 [==============================] - 0s 12ms/step - loss: 0.4037 - accuracy: 0.9151\n"
+     ]
+    }
+   ],
+   "source": [
+    "jarvis = model.fit(x_train, y_train, epochs=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a1bd3139",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyttsx3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "c8096bfa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You: hi\n",
+      "1/1 [==============================] - 1s 767ms/step\n",
+      "Jarvis:  Hi there, My name is Jarvis! How can I help?\n",
+      "You: track my order\n",
+      "1/1 [==============================] - 0s 34ms/step\n",
+      "Jarvis:  Visit the order page, click on the specific order, select 'track my order', and check the status\n",
+      "You: thnx\n",
+      "1/1 [==============================] - 0s 41ms/step\n",
+      "Jarvis:  Any time!\n",
+      "You: bye\n",
+      "1/1 [==============================] - 0s 29ms/step\n",
+      "Jarvis:  See you later, thanks for visiting. Hope I was able to help!\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Testing\n",
+    "engine = pyttsx3.init()\n",
+    "\n",
+    "while True:\n",
+    "    textList = []\n",
+    "    user_input = input(\"You: \")\n",
+    "    prediction_input = []\n",
+    "\n",
+    "    for letter in user_input:\n",
+    "        if letter not in string.punctuation:\n",
+    "            prediction_input.append(letter.lower())\n",
+    "\n",
+    "    prediction_input = ''.join(prediction_input)\n",
+    "    textList.append(prediction_input)\n",
+    "    \n",
+    "    prediction_input = tokenizer.texts_to_sequences(textList)\n",
+    "    prediction_input = np.array(prediction_input).reshape(-1)\n",
+    "    prediction_input = pad_sequences([prediction_input], input_shape)\n",
+    "    \n",
+    "    output = model.predict(prediction_input)\n",
+    "    output = output.argmax()\n",
+    "    \n",
+    "    response_tag = le.inverse_transform([output])[0]\n",
+    "    ans = random.choice(responses[response_tag])\n",
+    "    print(\"Jarvis: \", ans)\n",
+    "    engine.say(ans)\n",
+    "    engine.runAndWait()\n",
+    "    if response_tag == 'goodbye':\n",
+    "        break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1e0fb93",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine-learning/week4/intents.json b/machine-learning/week4/intents.json
new file mode 100644
index 000000000..4f5cc367c
--- /dev/null
+++ b/machine-learning/week4/intents.json
@@ -0,0 +1,278 @@
+{
+  "intents": [
+    {
+      "tag": "greeting",
+      "patterns": [
+        "Hi",
+        "Hey",
+        "Is anyone there?",
+        "Hello",
+        "Good day"
+      ],
+      "responses": [
+        "Hey :-) My name is Jarvis!",
+        "Hello, thanks for visiting. My name is Jarvis!",
+        "Hi there, My name is Jarvis!. What can I do for you?",
+        "Hi there, My name is Jarvis! How can I help?"
+      ]
+    },
+    {
+      "tag": "personal",
+      "patterns": [
+        "How are you?",
+        "How are you doing?",
+        "How is your day?"
+      ],
+      "responses": [
+        "I'm good, all's good, thanks. How about you?"
+      ]
+    },
+            {
+      "tag": "user response",
+      "patterns": [
+        "I'm good",
+        "Im good",
+        "Im doing good",
+        "I am good",
+        "I am okay"
+      ],
+      "responses": [
+        "Great to hear you are doing good."
+      ]
+    },   
+    {
+      "tag": "goodbye",
+      "patterns": ["Bye", "See you later", "Goodbye"],
+      "responses": [
+        "See you later, thanks for visiting. Hope I was able to help!",
+        "Have a nice day. Hope I was able to help!"
+      ]
+    },
+    {
+      "tag": "thanks",
+      "patterns": ["Thanks", "Thank you", "That's helpful", "Thank's a lot!", "thnx", "ok thnx"],
+      "responses": ["Happy to help!", "Any time!", "My pleasure","Anything else in which I can be of assistance?"]
+    },
+    {
+      "tag": "items",
+      "patterns": [
+        "Which items do you have?",
+        "What kinds of items are there?",
+        "What do you sell?",
+        "What do you offer?",
+        "What can I buy?"
+      ],
+      "responses": [
+        "Search your preference in our flagship store's search bar to see all available products. "
+      ]
+    },
+    {
+      "tag": "payments",
+      "patterns": [
+        "Do you take credit cards?",
+        "Do you accept Mastercard?",
+        "Can I pay with Cash?",
+        "Are you cash only?",
+        "What are your payment methods?",
+        "How do I pay?"
+      ],
+      "responses": [
+        "We accept VISA, Mastercard and Cash"
+      ]
+    },
+    {
+      "tag": "track",
+      "patterns": [
+        "How can I track my order", 
+        "I want to track my order", 
+        "Can I track my order", 
+        "Track order",
+        "Where is my order"
+      ],
+      "responses": [
+        "Visit the order page, click on the specific order, select 'track my order', and check the status"
+      ]
+    },
+    {
+      "tag": "delivery",
+      "patterns": [
+        "How long does delivery take?",
+        "How long does shipping take?",
+        "Please Tell me about my delivery",
+        "When do I get my delivery?",
+        "Why is my order not delivered yet",
+        "Why is my order taking so much time be to delivered",
+        "where is my order"
+
+      ],
+      "responses": [
+        "Delivery and shipping takes 4-5 days. Please bear with us!"
+      ]
+    },
+    {
+      "tag": "confirm",
+      "patterns": [
+        "My payment was processed successfully but I didn't get any order confirmation. What should I do?",
+        "Payment was completed but no confirmation",
+        "Order was not confirmed",
+        "Money deducted but order is not confirmed"
+      ],
+      "responses": [
+        "Daraz sends you an Email & SMS upon confirmation of your order. If it requires manual confirmation, our team will contact you within 24 hours after order placement. Delay in confirmation SMS may occur due to network error, you may receive it with a delay.",
+        "It takes upto 24 hours for confirmation, please bear with us! Type Need more help for more assistance. "
+      ]
+    },
+    {
+      "tag": "delay",
+      "patterns": [
+        "Why is my order delayed? ",
+        "Did my order get delayed?",
+        "Why is my order not delivered yet?",
+        "When do I get my delivery?"
+      ],
+      "responses": [
+        "We are really sorry if there has been a delay in your order! If your order is within delivery period, We recommend you to please wait during this period since our Delivery Heroes make 3 attempts to deliver your order!",
+        "If your order is past up to 3 days after delivery period, There may be logistic issues causing a delay in delivery. Please type 'Common reasons for delivery delay' to know more about this.",
+        "We appreciate if you could wait for your items as most orders are delivered successfully within this period.",
+        "If your order is past more than 3 days, Since there may be unexpected issues causing delivery delays, you can click on 'Need more Help' for further assistance."
+      ]
+    },
+    {
+      "tag": "reasons",
+      "patterns": [
+        "Common reasons for delivery delay",
+        "common reasons for delivery delay",
+        "reasons for delay",
+        "delivery delay",
+        "shipping delay"
+      ],
+      "responses": [
+        "Reasons include Seller Sourcing Issues, Courier Issues, Cross Border shipment delay, Wrong Address or Phone Number, and Unavailability of Customer. "
+      ]
+    },
+    {
+      "tag": "more",
+      "patterns": [
+        "Need more help",
+        "help me more",
+        "can I talk to an agent",
+        "can I call customer service",
+        "customer support number",
+        "how to contact customer service",
+        "customer service number",
+        "contact number for help",
+        "helpline number",
+        "How to become a seller",
+        "How to contact a seller"
+      ],
+      "responses": [
+        "Contact us for further information here: Phone: 021-111-132729. Timings are from 09:00 AM to 05:00 PM from Monday to Saturday."
+      ]
+    },
+    {
+      "tag": "cancel",
+      "patterns": [
+        "Can I cancel my order?",
+        "Why is my order cancelled?",
+        "How do I can cancel my order",
+        "Can I cancel an order",
+        "I want to cancel my order"
+      ],
+      "responses": [
+        "Order can only be cancelled within 7 days of placement. Digital goods do not qualify for refund.",
+        "Visit my orders page to check status of specific orders."
+      ]
+    },
+    {
+      "tag": "refund",
+      "patterns": [
+        "Can I refund an item.",
+        "I want to refund an item",
+        "can I refund my order",
+        "Are refunds available"
+      ],
+      "responses": [
+        "Refund can only be issued within 7 days of placement. Digital goods do not qualify for refund.",
+        "Visit my orders page to check for specific orders."
+      ]
+    },
+    {
+      "tag": "refund status",
+      "patterns": [
+        "Why is the status Refunded when it's not credited?",
+        "No refund even though status is refunded",
+        "No refund when status says refunded",
+        "I did not receive my refund money",
+        "Refund money not received"
+      ],
+      "responses": [
+        "Please be patient as refunds take upto 30 days to receive into bank. "
+      ]
+    },
+    {
+      "tag": "refund",
+      "patterns": [
+        "Can I refund an item.",
+        "I want to refund an item",
+        "can I refund my order",
+        "Are refunds available"
+      ],
+      "responses": [
+        "Refund can only be issued within 7 days of placement. Digital goods do not qualify for refund.",
+        "Visit my orders page to check for specific orders."
+      ]
+    },
+    {
+      "tag": "return",
+      "patterns": [
+        "How long do return items take",
+        "When will my items be returned",
+        "When can I get a refund for return items?",
+        "Are refunds available for return?",
+        "What is the return status ?"
+      ],
+      "responses": [
+        "Return takes 6 to 10 business days.",
+        " There are 2 parts to the return process. In the first part, we check the items received from you to verify the issue highlighted in your return claim. Once we've verified and accepted your return, we initiate the refund process which takes 1 business day for Daraz wallet and 2-10 business days for bank or card. "
+      ]
+    },
+    {
+      "tag": "use voucher",
+      "patterns": [
+        "How to use a voucher?",
+        "Can I use a voucher?",
+        "Are there any vouchers?"
+      ],
+      "responses": [
+        "You can add a voucher by clicking on My Cart > Check Out > Enter Voucher Code > APPLY. "
+      ]
+    },
+        {
+      "tag": "profile info",
+      "patterns": [
+        "How can I change my profile information",
+        "I want to change my password",
+        "I want to change my phone number",
+        "I want to change my address",
+        "I want to Reset my password",
+        "I want to delete my account",
+        "delete my account"
+      ],
+      "responses": [
+        "You can easily add or change your account details by following the steps below: Step 1: Click on 'Account', Step 2: Click on 'Manage my account' from the icon, Step 3: You change or edit your name, address, email address, mobile number, etc., Step 4: Fill in the required details, and click on Save. Note: You can also change your delivery address from the Checkout page before proceeding to pay."
+      ]
+    },
+        {
+      "tag": "mobile app",
+      "patterns": [
+        "Can I download a mobile app for this?",
+        "Mobile app",
+        "Download mobile app",
+        "Is there a mobile app"
+      ],
+      "responses": [
+        "You can download the E-commerce  Mobile App from both IOS App Store, and Google Play Store. "
+      ]
+    }  
+  ]
+}