Prediction_of_Fertilizer.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Importing Packages**"
      ],
      "metadata": {
        "id": "vA4YnBgou47q"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "AjTJcC_J26xo"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Collecting the data**"
      ],
      "metadata": {
        "id": "b8WoR0uh3BWE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv(\"Fertilizer Prediction.csv\")\n",
        "df"
      ],
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          "height": 423
        },
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        "outputId": "c54c484c-20a7-4f81-be5c-7fca808fa29a"
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      "execution_count": 18,
      "outputs": [
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          "data": {
            "text/plain": [
              "    Temparature  Humidity   Moisture Soil Type  Crop Type  Nitrogen  \\\n",
              "0            26         52        38     Sandy      Maize        37   \n",
              "1            29         52        45     Loamy  Sugarcane        12   \n",
              "2            34         65        62     Black     Cotton         7   \n",
              "3            32         62        34       Red    Tobacco        22   \n",
              "4            28         54        46    Clayey      Paddy        35   \n",
              "..          ...        ...       ...       ...        ...       ...   \n",
              "94           25         50        32    Clayey     Pulses        24   \n",
              "95           30         60        27       Red    Tobacco         4   \n",
              "96           38         72        51     Loamy      Wheat        39   \n",
              "97           36         60        43     Sandy    Millets        15   \n",
              "98           29         58        57     Black  Sugarcane        12   \n",
              "\n",
              "    Potassium  Phosphorous Fertilizer Name  \n",
              "0           0            0            Urea  \n",
              "1           0           36             DAP  \n",
              "2           9           30        14-35-14  \n",
              "3           0           20           28-28  \n",
              "4           0            0            Urea  \n",
              "..        ...          ...             ...  \n",
              "94          0           19           28-28  \n",
              "95         17           17        10-26-26  \n",
              "96          0            0            Urea  \n",
              "97          0           41             DAP  \n",
              "98          0           10           20-20  \n",
              "\n",
              "[99 rows x 9 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Temparature</th>\n",
              "      <th>Humidity</th>\n",
              "      <th>Moisture</th>\n",
              "      <th>Soil Type</th>\n",
              "      <th>Crop Type</th>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>34</td>\n",
              "      <td>65</td>\n",
              "      <td>62</td>\n",
              "      <td>Black</td>\n",
              "      <td>Cotton</td>\n",
              "      <td>7</td>\n",
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              "      <td>Tobacco</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>20</td>\n",
              "      <td>28-28</td>\n",
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              "      <th>4</th>\n",
              "      <td>28</td>\n",
              "      <td>54</td>\n",
              "      <td>46</td>\n",
              "      <td>Clayey</td>\n",
              "      <td>Paddy</td>\n",
              "      <td>35</td>\n",
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              "      <td>0</td>\n",
              "      <td>Urea</td>\n",
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              "      <th>94</th>\n",
              "      <td>25</td>\n",
              "      <td>50</td>\n",
              "      <td>32</td>\n",
              "      <td>Clayey</td>\n",
              "      <td>Pulses</td>\n",
              "      <td>24</td>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "      <td>28-28</td>\n",
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              "      <th>95</th>\n",
              "      <td>30</td>\n",
              "      <td>60</td>\n",
              "      <td>27</td>\n",
              "      <td>Red</td>\n",
              "      <td>Tobacco</td>\n",
              "      <td>4</td>\n",
              "      <td>17</td>\n",
              "      <td>17</td>\n",
              "      <td>10-26-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>38</td>\n",
              "      <td>72</td>\n",
              "      <td>51</td>\n",
              "      <td>Loamy</td>\n",
              "      <td>Wheat</td>\n",
              "      <td>39</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Urea</td>\n",
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              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>36</td>\n",
              "      <td>60</td>\n",
              "      <td>43</td>\n",
              "      <td>Sandy</td>\n",
              "      <td>Millets</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>41</td>\n",
              "      <td>DAP</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>29</td>\n",
              "      <td>58</td>\n",
              "      <td>57</td>\n",
              "      <td>Black</td>\n",
              "      <td>Sugarcane</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>20-20</td>\n",
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              "<p>99 rows × 9 columns</p>\n",
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          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Pre Processing of data**"
      ],
      "metadata": {
        "id": "VuSfUlPK4A7V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ofQ7YkW833NL",
        "outputId": "9cebbffb-2eff-4d6e-f2de-cd3cdfa71985"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Temparature        0\n",
              "Humidity           0\n",
              "Moisture           0\n",
              "Soil Type          0\n",
              "Crop Type          0\n",
              "Nitrogen           0\n",
              "Potassium          0\n",
              "Phosphorous        0\n",
              "Fertilizer Name    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Fertilizer Name\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0R2tfiT63n9I",
        "outputId": "4368eb8c-2acf-47d3-fda6-80abcb8e3f13"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Urea        22\n",
              "DAP         18\n",
              "28-28       17\n",
              "14-35-14    14\n",
              "20-20       14\n",
              "17-17-17     7\n",
              "10-26-26     7\n",
              "Name: Fertilizer Name, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Soil Type\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XlieqCMg384L",
        "outputId": "f894f847-b1ec-4176-bd39-767c9df6f59d"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Loamy     21\n",
              "Sandy     20\n",
              "Clayey    20\n",
              "Black     19\n",
              "Red       19\n",
              "Name: Soil Type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Crop Type\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fRTD4YCe4UCi",
        "outputId": "ca06b149-209b-4f89-ac26-20944cd0e56c"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Sugarcane      13\n",
              "Cotton         12\n",
              "Millets        11\n",
              "Paddy          10\n",
              "Pulses         10\n",
              "Wheat           9\n",
              "Tobacco         7\n",
              "Barley          7\n",
              "Oil seeds       7\n",
              "Ground Nuts     7\n",
              "Maize           6\n",
              "Name: Crop Type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "map1={label:idx for idx,label in enumerate(np.unique(df['Soil Type'].values))}\n",
        "\n",
        "df[\"Soil Type\"]=df[\"Soil Type\"].map(map1)"
      ],
      "metadata": {
        "id": "Q79l2vtK4bu5"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Soil Type\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LB2EJvFR44uL",
        "outputId": "11884ae2-11f9-41f4-beb8-509694684956"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2    21\n",
              "4    20\n",
              "1    20\n",
              "0    19\n",
              "3    19\n",
              "Name: Soil Type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "map2 = {label:idx for idx,label in enumerate(np.unique(df['Crop Type'].values))}\n",
        "\n",
        "df[\"Crop Type\"]=df[\"Crop Type\"].map(map2)"
      ],
      "metadata": {
        "id": "sntBVFtlvcbP"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Crop Type\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5mUVIvEG5hDE",
        "outputId": "6106172f-63b4-42c6-ceda-5d2b0ab7fd16"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8     13\n",
              "1     12\n",
              "4     11\n",
              "6     10\n",
              "7     10\n",
              "10     9\n",
              "9      7\n",
              "0      7\n",
              "5      7\n",
              "2      7\n",
              "3      6\n",
              "Name: Crop Type, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "map3 = {label:idx for idx,label in enumerate(np.unique(df['Fertilizer Name'].values))}\n",
        "\n",
        "df['Fertilizer Name']=df['Fertilizer Name'].map(map3)"
      ],
      "metadata": {
        "id": "V22Xshwu5i9y"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Fertilizer Name\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N4FGJaTD6Dzd",
        "outputId": "9e770d0e-7ad5-4a5d-b4c8-13fe9bf880c6"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6    22\n",
              "5    18\n",
              "4    17\n",
              "1    14\n",
              "3    14\n",
              "2     7\n",
              "0     7\n",
              "Name: Fertilizer Name, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Categorical Data -> Numeric Data**"
      ],
      "metadata": {
        "id": "905NA_5Bx2ri"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "DwKtcOnH6HX0",
        "outputId": "054138fe-24f1-41cc-dff2-d3998af5a5e3"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Temparature  Humidity   Moisture  Soil Type  Crop Type  Nitrogen  \\\n",
              "0            26         52        38          4          3        37   \n",
              "1            29         52        45          2          8        12   \n",
              "2            34         65        62          0          1         7   \n",
              "3            32         62        34          3          9        22   \n",
              "4            28         54        46          1          6        35   \n",
              "..          ...        ...       ...        ...        ...       ...   \n",
              "94           25         50        32          1          7        24   \n",
              "95           30         60        27          3          9         4   \n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2d3f2438-8da0-4b2e-97e9-963401c74910')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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-2d3f2438-8da0-4b2e-97e9-963401c74910 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2d3f2438-8da0-4b2e-97e9-963401c74910');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Visualization of DataFrame**"
      ],
      "metadata": {
        "id": "as_aJAKG6NtW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.corr()\n",
        "sns.heatmap(df.corr(),annot=True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 527
        },
        "id": "MuwOir9N6RMV",
        "outputId": "2333e720-d3b7-4a99-c362-1a2c0b207392"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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jT58+pKffvzXhaaZSqQgMDufZ9l7adQYGBjzbvg3XA/V3oShVhRgb67YoyIxlXLsZWOk+fvn9LC++0OeBwwXKkxgZYt66MVnnb5Su1GjIOn8d83aeercxb++pGw9knb2GRfvi+HutIRpFmYqHRoNGWYhFxxbVyk9fvpZejcgol2/GuRtYddDfbW3VvikZ53TzTT99vdJ4iZEhrq/2pTAzl9zb0Xpj7L07YGRrSeKh6lXmJEaGmLbyIOevAJ38c/4KwOyZ6lUAyquz8k2yT18h969H+wJlVt8JE2dbUs7d0q4rzM4n41o4dh2a6N1GYiTFxquhzjZoNKScv1XpNlIzGfXH9CI3Opn8+DTtesumdWk250X83t4KVfh57nv5ppbLV34tHNv75Gvt1VBnGzQaUs/fqnQbACNLMwpz8tGo9f9jljnb4jKoE2kXgh6Yt5ahIcbNm+pWujQaCi75I/Oq2vkiMZGBoSFFmdlV329Vyi053+TndM83+fkbWN7nfJOXO98yzpQ73yQSmn3+dvEXrODYSvfv9vaLdAncTbvf11NvxlCQ/muqBUI1/GsmQCxfvpyNGzcyYsQIABo2bEhgYCDbt29n4sSJ2ri5c+fi7V38Terdd99l7Nix+Pr60q1bcavQa6+9xt69e3XKNjY2Zvfu3ZiZmdGyZUs++OAD5s2bx6pVqzAwMGDkyJE68bt378bR0ZHAwEBatSpthZk1a5Y2v7L53PP2229z8uRJvvvuOzp16oS1tTXGxsaYmZnh4uJS7WOiVCrZv38/jo7F36j//PNPLl++THJyMjJZcVfaxx9/zNGjR/nhhx+YPn16tffxNMjIzEZdVIS9nY3OentbayJj9F/EunVsy/7vf6JDm5a4ubpw0f8GvucvoK6kmd73z0tk5+QyfID+lrT7MbSzRGIoRZUi11lfmJqJiUc9vdsYOdpQmKobr0rJxMjRFoCCsFgUscnUXfgq0Qu/pChPgfO0IRi7OmDkZFvtHHX2XZKvMiVTZ70yJROzJnX1bmPsZKMnXo6xk43OOvt+7WixfTYGpsYok+Rcf3kVqnT9/xzrvPI86acDKu0eqozU1gqJobTC8StMlSNrrP94V4X14J6YtmpM+LDZD13GPSZOxd29BeWOmSIlE5mT/q5gmZ0lBoZSvdtYeLjqrGs4qS8tl76CobkJ2aHx/PXyajSq4puyGhgb0mHrTG598C35cWmYN9AdM6V33yU5KfTma6N3G2M7KwwMpXq3KZ9v6TaWNJnzIjFfV2xRb7f1bVy82yM1k5F40o/r7+14YN73SG2tkRhKUadl6KxXp2Vg5F61L9i2s6aiTkl75Fa48u53vll7PPz55jZzGJpCNfFf/Upl4r46Qc7NCAozcrDq6In74lcwdrIlYsW+Srd5bMRNgx/Jv6Iyl5ubS3h4OK+99hrTpk3Tri8sLMTaWvfC5uVV2vri7OwMQOvWrXXWJScn62zTpk0bzMzMtI+7dOlCTk4Od+/epUGDBoSGhrJs2TIuXbpEamqqtkUuJiZGpzLXoYNud4JarWb16tV89913xMXFoVQqUSgUOvt6FA0aNNBW5ACuX79OTk4O9vb2OnH5+fk63cJlKRQKFArdZnMDhUJbGfyvWvj2VFZs+IIhE2YiAdzqujB8YJ9Ku2WP/PoH3Tu3w8nB7p9NtBKaQjXh09bh/vFMnrn9DZpCNVl/Xi+eIFG9hsN/VMZft7n6/DyM7C2pM74vLXbOwX/gIlSpWTpxsjp22PVuy+1pn9RSprqM6jhQZ9k0IicsvW83bGXqjehG2w2lY7wujF9fk+lVcPfHv0g+ewsTZxs83hxEpx3vcm7oCooUKlosHkN2aDyxP/5V6fZ1R3TDa8NU7ePLjzlfAEMLUzodmE9OSBzBH/9Y4fnby/YTsvFHzBvVofmSMbRc+So3F+5+7HkBWE8ejbn3cyROnftQ7/8/zcKrEXWnDcK/3/z7xsVtL+1izw2KoUhVSJP104lc/Q0apf5u2cfmP9xFWhP+FZW5nJzisSc7d+6kc+fOOs9JpVKdx0ZGpV1j97q7yq8r3z36IEOGDKFBgwbs3LkTV1dXioqKaNWqVYVJB+bm5jqPN2zYwObNm9m0aROtW7fG3NycWbNmPXCygoGBAZpyXRv6JlSU319OTg516tThzJkzFWLLj8G7Z82aNTpdygDvz3uHZfPfvW+OTxJba0ukBgakpct11qdlZOJgp7+Vys7Gms8+WoxCoUSelY2Tgx2f7thPPVfnCrHxiclc9LvBpg8WPFR+henZaArVGDna6Kw3dLBGlZyhdxtVihxDB914I0drVCml8Xk3wwn0no3U0gyJkSGF6Vk0+3k9edcrnwFXFaqSfI0ddb9IGTtao0yW691GmSzXE29TIb4oT0F+VCL5UYlk+YXS6cJn1HnleWI+O6oT5zKmN6qMbNJOXq12/uqMLDSF6grHz9DBhsIU/cf7QUxaeWDoYIvHT5u16ySGUsw6tcT+1cHcbvbifQdfJ57047R/6ftiICu+9Jo4WqMoc4xkjtZk3tLf7axIz6aoUI1JueMsK1cGFHeBFmbnkxuZSLpfKIOCd1JnYAfijl7AsXsLrJrXx3Vwp+LXUXIdHRi4nZDNR7mz4UcST/qRoZOvkd59FecbpTdfZXoWRYVqZFXIV2puQueDCynMyefK5E/QFFZspVGkZKJIySQnLB6VPIduP60g5JMjFcrSR52RiaZQjdRe93ogtbdFnXr/z4TVhJewnjKGxNcXoAp9tEkv+jyO8826czOMHKzo7LdV+7zEUEqjFROpO30Qlzu+pbfcbP9QDIwMMXFzIj+84uxn4d/rX1GZc3Z2xtXVlYiICMaNG1fj5V+/fp38/HxMTU0BuHjxIhYWFri5uZGWlkZwcDA7d+6kR4/igeN//vlnlcr966+/GDZsGOPHjwegqKiIkJAQWrQoHYNhbGyMWq17YXJ0dCQ7O5vc3Fxthe3emLj7adeuHYmJiRgaGuLu7l6lHBctWsScOXN01hlkx1Vp2yeFkZERLTwbc8n/Bn16PAsUvxeX/G4w9sUX7rutTGaMs6M9qsJCfj97Ae/eFSdx/O+EL3Y21vR8tvKB3vejURWSezMcy+5eyE9eKl4pkWDV3Yvkvfq7QHL9gouf3/Wzdp1Vj7bk+FUcA6jOLr6dhKxhHcy9GhO/4duHyrNsvtk3IrDp0ZrUE1e0+dr2aE3cbh+922T5hWDTozWxO0pfj20vL7Ku3n/ihcRAgoFxxdmQLmN7k/TdWb3/1KuSf/6tMCy6tiH794va/C26tiHt66oN9i8v9+/rhA7Q/QdYd/27KMNjSdn+4wNn0RXmFlCYW6CzriApA8ceLcksGTNoaGGK7TONidz7RyWvS438RiSOPVqS4HNV+7ocu7ckYvdvle67uLImQVpSIbv02iakpsba523bNqbdptc5P+wDcqOTAFDnFpCnJ1+HHq3IKpOvzTONidr7e6X5Zt6IxKFHKxLL5OvQvSVRZfI1tDCl86GFFCkLuTLxY4oUVWj5KpmZe69S/ECFhSiDQjDp9Ax5p//W5mLS6RmyDx2rdDOrSS9j89orJM1YhDKwepOIqqrs+ZbmU3q+2XRvTfwDzreytxmx6Vl6viX9cI6M8zd1tml98H2SfjhH0n3GoFq0dEejLkKVmllpzGPzH56JWhP+FZU5gJUrV/LOO+9gbW3NgAEDUCgUXL16lYyMjAqVkepSKpW89tprvP/++0RFRbF8+XJmzpyJgYEBtra22Nvbs2PHDurUqUNMTAwLFy6sUrlNmjThhx9+4O+//8bW1pZPPvmEpKQkncqcu7s7ly5dIioqCgsLC+zs7OjcuTNmZmYsXryYd955h0uXLlUY56dP37596dKlC8OHD2f9+vU0bdqU+Ph4jh8/zosvvlihGxhAJpNV6FJVKVOr9PqqKi8vn5jY0m9xcfFJ3AkJx9rKkjouDx6PUxMmjBrGkjWbaenpQavmTTjww8/kFxQwfGDxGLdFqzfh5GDP7OmvAnAjMISk1DSaeTQkOTWNL/ceQqPRMGXMizrlFhUVcdTnFMO8e2NoKK2w36pK2nGMhp++S971MHIDQnGeOgQDUxNSDxd367pvehdVYhpxaw8Ux+/6Gc8fPsJ5+jAyfa9iN6wHZl6NiVpQOsPbdlBXCtOzUMSlYNasAW4rpyI/eZmscwHaGENHG4wcbZG5F4/ZNG3WAHVOPsr4FNTyymdj3t32C80/e4vsgHCyr4VRb/ogDMxkJJT8I2i2ZSaKxHQiPyquOMbuOE7boyup98Zg0v/wx2l4NyzbNCZk7nYADMxkNJg1grSTV1EkZWBkZ0XdKd7IXOxI/vmCzr5terTCtIEzCd/o7/KuitRdR6n38Wzyb4aSfz0E+8nDMDAzIeOH4opS3Y/nUJiURtKG4rFBEiNDZB5u2r8Nne0xad6QorwClNEJFOXmowjRbTHT5CkolGdXWF9V4Tt9aDrrRXIiEsmLSaH5glEUJMlLK2pAt+8XE3/iKpEllZ/w7b/SbvMbZFyPIONaOI2nDURqZkLMobNA8USFusOeJfnsTZRpWZjWsaPJ20MpKlCS6BsAQF607jAUmZ0lADmhcfe9z1zEzhM0mTWc3IhE8mKSabZgFAVJGaUVNeDZ75eQeOKKtrIWsf04bTe/ifx6BPJrYTSaNhCpmUybr6GFKc8eXoTUVMaVtzZiaGGKoUXxl25FWhYUaXDq0xaZozXygHAKcwuw9HSjxbJXSL90h/y7Vb+WZX79I46r5qMIDEF5KxircS8iMTUh+9hJABxWzacwORX5luKuW6tJo7GdMYGURWsojE/UtuoV5eWjyS+u6BpYWWJYxwmpY/HQF8MGxWMy1anpFcbn3U/c9l/w3PwWOdfDyboWRr1pxefbvck/nltmokhIJ2p18fkWv/M4Xv9bSd1y51vovOLzrTAjh8IM3fNbU1iIKjlD2+Jm2b4pVu08kP91G3VOPlYdmtLog0kk/3iOwsyq3YuyRolu1kfyr6nMTZ06FTMzMzZs2MC8efMwNzendevWzJo165HL7tOnD02aNKFnz54oFArGjh2rvTmxgYEBhw4d4p133qFVq1Z4enry2Wef8dxzzz2w3Pfff5+IiAi8vb0xMzNj+vTpDB8+nMzM0m81c+fOZeLEibRo0YL8/HwiIyNxd3fnwIEDzJs3j507d9KnTx9WrFjxwAkMEomEX3/9lSVLljB58mRSUlJwcXGhZ8+e2vGDteHWnVCmvF3aBbl+S/HA5GED+/LR++/9IzkMfL47GfJMPt9zkNT0DJp5NGTb+uU4lEyKSEhKwaDMLFSFUsmWXd8QG5+EmakJPZ5tz5rFs7GytNAp94LfdRKSUnjxhepPfCgr4+e/MLS3xnXuWIwcbckLjCT01ZUUlnwDltV1hKLSrvdcv2AiZ35C3fnjqLtgPIrIeMKnrqUgOEYbY+Rsi9vyKdru2rQfzpCw+Tud/Tq9OgDXOWO0j5sdWQ1A5OzPSPv+VKX5phz7G2N7KxrOH1180+DbUdwY+xGqkkHXJnUddPLNuhpC0JubabhwLI0Wv0J+ZAK3Jq0n907JPczURZh51MXl5ecwsrNElZFNdkA414YtqzDTrs4rfci8fIc8PTe5raqs4+dJtLPGafZ4DB1sKQiKIGrSMtQlkyKMXR11WgIMnezwOL5F+9hx+kgcp48k9+JNIl9Z9NB53E/o5z8jNZPR9uOpGFmZkXY5hL/HrtVpmTJ3d9ZWtgDijl3E2N6K5vNfQuZoQ+btaC6MXYuiZMxhkUKJ/bPNaDx9IMbW5hSkZJJ28Q7nhqxAWW5cYnWFf/4zhmYyvEryTb8czCU9+RqXyTe+JF/PknyzbkdzaexalCWfe2svd2zbF89s7XNps87+/uj4Nvl3U1EXKKk/7nlarnwVA2Mj8uPTSPj1MmFbKr+psz55v50l3dYG2zcnInWwRRkcTtKMxRSVDM8wrOOkM7PX6uXBSIyNcdq4XKcc+bb9yLd9DYDZc11w+GCe9jmn9e9XiKmKlGN/Y2RvRYP5o4tvGnw7iltjP9K2kMnqOqApd77dmbEZ9wVjabio+Hy7PXk9eXeqds9AAI1ShePwbjSY+zISYyMK7iYTt/0XYrc/XOu1ULskmvKDt54ykyZNQi6Xc/To0dpO5V9DlRrx4KB/E1Ut3ffoEVzv+HgqAI9LjqryG7/+GzmYV+/O/7UtLE//zV//raQ8Wf8WWrvUbG/D4xaTaFPbKVRLz8TvH/s+FDdO1kg5Mi/99w182v1rWuYEQRAEQfhv0mjErUkehajMCYIgCIJQu8SYuUfy1FfmqjKxQBAEQRAE4Un11FfmBEEQBEH4lxO3JnkkojInCIIgCELtEt2sj0T8oq4gCIIgCMITTLTMCYIgCIJQu4rEbNZHISpzgiAIgiDULtHN+khEN6sgCIIgCMITTLTMCYIgCIJQu8Rs1kciKnOCIAiCINQu0c36SEQ3qyAIgiAIwhNMtMwJgiAIglC7RDfrIxGVOUEQBEEQapeozD0SUZkTBEEQBKFWaTTiPnOPQlTm/otUitrOoHqMZLWdwVPP2ODJ+las0UhqO4VqUUmerHxNRCvJY1WgkdZ2CsJTRlTmBEEQBEGoXeILxCMRlTlBEARBEGqXuDXJIxG3JhEEQRAEQXiCiZY5QRAEQRBql+hmfSSiMicIgiAIQu0S3ayPRHSzCoIgCILwn/XFF1/g7u6OiYkJnTt35vLly5XGPvfcc0gkkgrLoEGDtDGTJk2q8PyAAQMe62sQLXOCIAiCINSuWupmPXz4MHPmzGHbtm107tyZTZs24e3tTXBwME5OThXijxw5glKp1D5OS0ujTZs2jBo1SiduwIAB7NmzR/tYJnu8t9gSLXOCIAiCINQuTVHNLNX0ySefMG3aNCZPnkyLFi3Ytm0bZmZm7N69W2+8nZ0dLi4u2uX333/HzMysQmVOJpPpxNna2j7UYakqUZkTBEEQBOGpoFAoyMrK0lkUCv03ylcqlfj5+dG3b1/tOgMDA/r27cuFCxeqtL9du3YxZswYzM3NddafOXMGJycnPD09efPNN0lLS3v4F1UFojInCIIgCELtKiqqkWXNmjVYW1vrLGvWrNG7y9TUVNRqNc7OzjrrnZ2dSUxMfGDKly9f5tatW0ydOlVn/YABA9i/fz++vr6sW7eOs2fPMnDgQNTqx/eTZWLMnCAIgiAItauGxswtWrSIOXPm6Kx7XOPVdu3aRevWrenUqZPO+jFjxmj/bt26NV5eXjRu3JgzZ87Qp0+fx5KLaJkTBEEQBKF21dCYOZlMhpWVlc5SWWXOwcEBqVRKUlKSzvqkpCRcXFzum25ubi6HDh3itddee+BLa9SoEQ4ODoSFhVX9eFSTqMwJgiAIgvCfY2xsTPv27fH19dWuKyoqwtfXly5dutx32++//x6FQsH48eMfuJ/Y2FjS0tKoU6fOI+dcGVGZqwFRUVFIJBICAgIqjTlz5gwSiQS5XA7A3r17sbGx+UfyEwRBEIR/tRoaM1ddc+bMYefOnezbt4+goCDefPNNcnNzmTx5MgATJkxg0aJFFbbbtWsXw4cPx97eXmd9Tk4O8+bN4+LFi0RFReHr68uwYcPw8PDA29v74Y5NFTwVY+YmTZqEXC7n6NGjOuvPnDlD7969ycjIeKwVJzc3NxISEnBwcKjyNqNHj+aFF17QPl6xYgVHjx69b4Xwn3bwf7+y59D/SE2X4+nhzuJ3ptG6eVO9sarCQr765keOnTxFcko67vXrMmf6BLp3bqeN6T96GvFJKRW2HTN8IO/Pev2xvY7yrgbcZM+3PxB4J4yUtHQ2r1lKn55dH/t+HScOxOWNFzFytCEvKIq7S3eSGxBaabztoK64znsFWT0nCqISiFu9n8xTftrnDR2sqbd4IlY92yK1Nifn0m1ilu5EEZmgjXEY1x/74T0xa9UIqaUZ11qMQ52VW6V8XSYNwHXGMIwdbcgNjCJyyS5yAirvJrAf3AW3BWMxqedIfmQC0R8eQH7KXyfGtEldGix5FasuLZAYSskPieXO1A0o41IxtLHAbe5obHq1wbiuA4XpWaSfuEzM+kOos/OqlHNZdq++gOP0ERg62lIQFEn8iu3kX9d/vGVN6uM8exymrRtjXM+Z+A92krbnJ93yxg3EbvxAjOsWD5ZWhMaQ9Nkhcs766SuySlrOG0nDcb0xtjIn9UoI/gt3kxOZdN9tGk/qh+eMQZg4WiMPjOHakn1kBETo5treg9YLX8auXWM0ag3y29GcG7uWogIVAM3eHUadPm2xadWAImUhx5pN17svj/mjqDf+eYyszMm4Ekzg/F3kRd5/YHj9yf1pOGMIxk7WZAfGELR4D5nXwrXPG8iM8FwxnjrDu2IgMyL19HUCF+5GmZIJgJGtBV5fzsSyRX2MbS1RpGaR7HOVkNWHUOfka8upM7IbDd8ainlDFzS5OeT/dYWMT3dQlJl93/zKshw9FOuJo5Da26EMCSdt3RcobwXrjbUYMRCLwf0w8nAHQBkYSsbnuyuNfxC3yf1xLzlOOSXHKavMcSrPeUhnPBa8jImbI3mRiYSu+pZU3wCdmMYl75ehlTnyK8EElXu/zBrVoenycdh0bIqBsSHZgTGErfuOjL8CtTH9kw491Ot5ZLX0CxCjR48mJSWFZcuWkZiYSNu2bfHx8dFOioiJicHAQLfdKzg4mD///JPffvutQnlSqZQbN26wb98+5HI5rq6u9O/fn1WrVj3We82JlrkaIJVKcXFxwdCw6nVjU1NTvTck/Lc4cepP1n+5mzcnjeH7nZ/g2did1+etJC1Drjd+y65v+P7nkyx+ZxrH9m3h5aHevLt0LUGhpf9kDm3/mDM/7tEuOz9eCUD/Xo+/IlVWfn4Bnh6NWPLejH9sn7ZDuuG2bArxnx4icOAc8gOjaHJgOYb21nrjzdt70uiL90g99AeBA+Yg97lE468WYuJZXxvjsWsRsvrOhL22mkDv2ShjU2h6cCUGpqUXDAMTGZln/En4/Idq5Ws/tCvuKyYRu/E7rnvPIzcwmhYHl2Jkb6U33rKDJ023zib5W1+u959Lus9lmu2Zj5mnmzZG1sCZVkc/Ij8sjtsjlxPw/Bzufvo9moLiG3AaO9ti7GJH1Af7Ceg9m9B3P8em9zN4fFL998l6UHfqLJlK8uaDhA2eRUFQJA33fYC0kuNtYCpDeTeRxHX7UCWn641RJaaStG4fYUNnETZsNjkXbtBgxxJkTerrjX8Qz7cG4/GaN/4L9uA7aBmFeQp6HFyIgcyo0m3qDX2WNivGEbjxCL97v09mYAw9Dy5EVuZ9sWvvQc9vF5B49ia+A5fxx8ClhO3+DYo0pa/XyJDYXy4Rvs9X324AaDhzKA2mDiBw/ldceOF91HkKOhxedN/8XIZ1odnKVwnb+AN/91tE9u1oOhxahLFDaX7NPpiAU//2BEzbxOXhKzFxseWZ3aUD1jVFGpJ9/PCf8DHnus7m5rtbse/ZipYbSmcM2nRsiteWt4j79jR/9ppLyrxVyFp5Yr9Md+D7/Zj174Xde68j336A+LFvogyJwPnLNRjY2uiNN+nQhlyf0yRNm0fihHcpTErBZetapE72euPvx3lYFzxXvkr4xh+4WHKc2pc7TmVZd2hK623vEPftaS72XUjyiau03TsXi2b1tDHuM4dSv+T9ulTyfrUr9349c2A+EqkBV1/6kIv9FpN9O5p2B+Zj7Kh7Xtx6ZytnWr2uXZ52M2fOJDo6GoVCwaVLl+jcubP2uTNnzrB3716deE9PTzQaDf369atQlqmpKSdPniQ5ORmlUklUVBQ7duyoMGO2pv2nKnMrVqygbdu2Ous2bdqEu7u79vGkSZMYPnw4q1evxtnZGRsbGz744AMKCwuZN28ednZ21KtXT+fOzvq6WX/99VeaNm2KqakpvXv3JioqSme/ZbtZ9+7dy8qVK7l+/br2pz/27t3LlClTGDx4sM52KpUKJycndu3aVROHpFL7vz/GS4P68+LAPjR2d2PZnDcxMZHxv1/1X/x//u0M08a9RM9nO+Dm6sKYYQPp8Ww79h4+po2xs7HGwd5Wu5y9cAU3Vxc6tm31WF9LeT26dOSd6RPp26vbP7ZP5+nDSD34G2nfnaIgNJbohVspKlDgMEb/zCbn14aQecafpG1HKQiLJf7jb8m7FYHTpOLWXFlDVyzaNyN68TbyroehiIgnetE2DEyMsRveQ1tO8q6fSfziCLn+IdXK1/X1ISR98wfJh0+THxJLxPztqPMVOI3Vn2+dqYPIOH2N+K3HyA+N4+76Q+TejMRlykBtTIOFr5Bxyp/oD78m91YkiugkMn67iiotC4C84LsET91Axu9XUUQnkfXXLWLWfottvw4grd6lymHqcDIOnyTjB18UYXeJW/IlRfkK7EZVvPgC5N8IJXHNHjJ/OY9GqdIbk+17hewzfiijElBGxpP08dcU5RVg9oxntXK7p8m0AQRtOkr8ST8yg+5y+Z2tmDrbUHdA+0q3afr6QCK/OU3U4XNkh8ThN3836nwF7mN7aWParnyV0F0nCf78Z7JC4sgJTyD250sUKQu1MYEf/0joDh8yg+5Wuq8G0wcS/un/SPbxIycwhpszv0DmbIvTwA6VbuP+xiDuHjhF3KGz5IbEcXveV6jzldQd+xwAhpam1HulN3eWf036n7fJuhHJzXe3YdvJE+v2HgAUZuZyd9/vZF2PoCA2lfTzt7i793dsOzfT7semQ1Py76YQ/ZUP+TEpKAJuk/3DcWStqv5eWL86kuwjJ8g5dhJVRAxpH25GU6DAcrj+rrDUxWvJ/u5nlMHhqKLukrbyE5BIMOn0TJX3WfY4xR44RXzJcQosOU6uJcepvAbTB5J2+jpRX/5Cbmg84eu+I+tmJG5TvHViIj79Hykl79etcu+XkZ0l5o3rELnlJ3ICY4pb9z48iNTMBIvmbjr7U2XlokzJ1C7/iFrqZn1a/Kcqc1V16tQp4uPjOXfuHJ988gnLly9n8ODB2NracunSJd544w1ef/11YmNj9W5/9+5dRowYwZAhQwgICGDq1KksXLiw0v2NHj2a9957j5YtW5KQkEBCQgKjR49m6tSp+Pj4kJBQ2m32yy+/kJeXx+jRo2v8dd+jUqkIDA7n2fZe2nUGBgY8274N1wP1dykoVYUYG+t+Y5cZy7h2M1BvvEql4pffz/LiC32QSCQ1l/y/kMTIEPPWjck6f6N0pUZD1vnrmLfT/8/HvL2nbjyQdfYaFu2L4+9929YoylQ8NBo0ykIsOrZ45HwtvBqTWS7fzPM3sGyvv5vdskNT3XhAfiYAy5J8kUiw7duegoh4mh9cSsebu2l9fA12AzrpKa2U1MoMdU4eqKt+kZYYGWLayoOcP6/r5J/zVwBmlRzvajMwwHpwDwxMTcjzv1Ptzc3rO2LqbEvS+dvadYXZ+aRfC8e+QxO920iMpNh6NSTp/K3SlRoNSedvYd++eBuZvRX27T1QpGbR+6flDLnxJc8deR/7Tvrft8qYNnDCxNmWtHM3dfLL9A/DpoP+siRGUqy8GpJ2vnQbNBrSzt3UbmPVphEGxoY65eaGxZN/N6XScmXOtji/0ImMC6XXEvnVEExc7XHo0xYAAzsbzPv2JP/Pyn9TU4ehIcbNm1JwqcwwAI2Ggkv+yLyqdv5ITGRgaFitbt17+7bUc5zSyxyn8qzbN9E5ZgBpp69r400bOCFztiVdz/tlXRKjSs8mNzQO15d7IDWTIZEaUG9CXxQpcrKuR+qU3XzNFJ4L3EFnnw8rrWDWuFr6BYinxVNTmfvll1+wsLDQWQYOHPjgDfWws7Pjs88+w9PTkylTpuDp6UleXh6LFy+mSZMmLFq0CGNjY/7880+922/dupXGjRuzceNGPD09GTduHJMmTap0f6amplhYWGBoaKj96Q9TU1O6du2Kp6cnX3/9tTZ2z549jBo1CgsLi4d6bVWRkZmNuqgIezsbnfX2ttakpmfo3aZbx7bs//4nomPjKSoq4u+rAfiev0BKJfG+f14iOyeX4QMezz13/k0M7SyRGEpRpch11hemZmLkpP8nXowcbShM1Y1XpWRi5FgcXxAWiyI2mboLX0VqbY7EyBCXGS9i7OpQaZnVzVdZLl9VSiZGTjaV5qsq9w1elSLXxhs5WCO1MKXuzBeRn77G7TEfkH7iMp675mHVRf8/T0M7S9xmjyLpwB/Vyl9qa4XEUEphqu5nrzBVjqHjox0bmWcDWtz6jlbBR6j70Qxi3vgIRVjlrVuVMSk5Lopyx6wgJRMTRxv9+7azxMBQSkGFbbIwcSruJjNvUDx0o8V7I4j85jTnX1lHxs0oen23GIuGVe/mkZXkUL5VRpGSiaySz4CxnRUGhtL7biNzsqFIoaIwS3cMpCI1U7vPe9pse5t+kfvofWMrhTl53JqzQ/uc/EoI12dsoe2Od+kfe4D6p76nKCeXtDVbqvT6pLbWSAylqNN0PyPqtAykDlX7jNjOmoo6JU23QljFfT/oOJUnc7KpEK9MycS45H03Ljl25T9PynJlXh31EZat3Hk+fA99Yr6mwRsv4D9mLYWZpeNow9Z+x41pm/B7eTVJv1ym+dop1Xp9Qu14KiZAAPTu3ZutW7fqrLt06VKVpg2X17JlS50Bj87OzrRqVdoVKJVKsbe3Jzk5We/2QUFBOn3uwAOnOVdm6tSp7Nixg/nz55OUlMSJEyc4depUlbdXKBQVfsrEQKFEJjN+qHwqs/DtqazY8AVDJsxEArjVdWH4wD6Vdsse+fUPunduh5ODXY3m8V+hKVQTPm0d7h/P5Jnb36ApVJP15/XiCRL/xoZOg+Kk0n2ukLDjFwDybkdh2cET51e9ybqg24IrtTCl+deLyQu5y92PD//j6VZGGRFH2KB3MbA0w3pgN+p9PJuIMYseWKGrP6Ir7deX3o/q/KsbHkt+kpLjHHHgFFGHzwEgvxWNU/eWuI99jlur9R/L8vn5jVv3WPKrjqCl+wn7+EfMGteh6eIxNFv5KoELi38v07xpXZp/OJGwjT+SeuYGHs2k2M2ehv2Sd4u7Px8z68mjMfd+jsSpcyvtlv83ar52CsrULK4MXYG6QEm9cc/zzNfzuOi9BGWyHICIT49o47NvRSE1k9H4vZGPP7n/cBdpTXhqKnPm5uZ4eHjorCvfDWpgYIBGo9FZp1JVPBGNjHS7CyUSid51Rf/Ah2/ChAksXLiQCxcu8Pfff9OwYUN69Ojx4A1LrFmzhpUrV+qse3/ODJbNnVnpNrbWlkgNDEhLl+usT8vIxMFO/7dWOxtrPvtoMQqFEnlWNk4Odny6Yz/1XCu2BsQnJnPR7wabPlhQ5dfxJCtMz0ZTqMaoXMuDoYM1qmT9LZeqFDmGDrrxRo7WqFJK4/NuhhPoPRuppRkSI0MK07No9vN68q4/2o0p7+VrXC5fI0drVCUXfH35GpUbRG3kaKONL0zPpkhVSH6obqUnPzQWy07NddYZmJvQ/Nv3UecUcGfKejSF1fsJHHVGFppCNYblWlgMHWwoTNF/vKtKoypEGV087KHgVjhmXk2wnzyU+CVf3He7+JP+pPmXzlSUGhdfemWO1hSUOaYmjtbIb0frLUORnk1RoRqTcsfZxNGKguTiFpn8pOKyskLidGKyQ+Mxq1v5QP3y+VkZFX+ZNXa0RlEmP5mjNVmV5KdMz6KoUF1hML2sTBmKZDkGMiMMrcx0WudkDtYoyrUE3xuvlRsWjyojh2d/Xkn4J0dQJMtp9M5w5JdDiPqy+ItBQUYaafn51Nm7CfkXe1Gn6p/Eco86IxNNoRqpve5nRGpvizr1/p8RqwkvYT1lDImvL0AVGnnf2Mr2/aDjVJ4iWV4h3tjRGmXJ+36vFV3maK2tlN2LyS55v+x6tMKxXztONX1NOys4aOFu7Hq1xnV0T6K26M7evifT//Hd6FaHqMw9kqemm7UqHB0dSUxM1KnQPY5bgTRv3pzLl3XHbly8ePG+2xgbG+v93TZ7e3uGDx/Onj172Lt3r/beN1W1aNEiMjMzdZYFb+u/DcE9RkZGtPBszCX/0jFQRUVFXPK7QZsW9x9zJJMZ4+xoT6Faze9nL9C7W8UxUf874YudjTU9n618IPXTRKMqJPdmOJbdS8cgIpFg1d2LXH/9YxBz/YKxKhsPWPVoS45fxXh1dh6F6VnIGtbB3Ksx8t+qOG7oPvnm3AjHuntrnXytu3uR7ad/IkX21RCsy+Vr3dOL7JJ8NapCcgLCMGlcVyfGpLEritjS29VILUxpeWgZGlUhdyat0R0TWI3882+FYd5N93hbdG1DXiXH+6EZSDAwrnx25z2FuQXkRiVpl6yQOPKTMnDu3lIbY2hhit0zjUm7qv/2KRqVmowbkTiV2QaJBKfurUjzK94m724K+QnpWDbWvTmpRSMX8mJTq5xfTnAsBUkZ2Pco0yNhYYp1Ow/kV/V/BjQqNVk3InW2QSLBvkcr7TZZ1yMoUhbqxJg3roOpm2Ol5UJpi+O9saJSU+MKX8y1lYGqjMEtLEQZFKI7eaFkMoPihv5xvgBWk17GZtp4kmYsRhlYvUlFZfedrec42ZU5TuVl+oXqxgP2vby08fnRySiSMrDT835llsRITUt6Y8pXmoo0SAwqrwpYtmpQ1Vcm1KKnpmWuKp577jlSUlJYv349L730Ej4+Ppw4cQIrK/3TwR/WG2+8wcaNG5k3bx5Tp07Fz8+vwtTm8tzd3YmMjCQgIIB69ephaWmpvSfN1KlTGTx4MGq1mokTJ1YrF5lMVuHeNqrcB3exThg1jCVrNtPS04NWzZtw4IefyS8oYPjA4jFui1ZvwsnBntnTXwXgRmAISalpNPNoSHJqGl/uPYRGo2HKmBd1yi0qKuKozymGeffG0FBarddSU/Ly8omJjdc+jotP4k5IONZWltRxeTy3i0nacYyGn75L3vUwcgNCcZ46BANTE1IPF3dDu296F1ViGnFrDxTH7/oZzx8+wnn6MDJ9r2I3rAdmXo2JWvCltkzbQV0pTM9CEZeCWbMGuK2civzkZbLOBWhjDB1tMHK0ReZe/NM0ps0aoM7JRxmfglqeU2m+8dt/psnmt8m5Hk5OQCh1pg1GaiYj+VBxF7/HZ2+jTEwnZvU3ACR8dZyWRz7A9fUhZPj64zCsGxZtGhMxb1tpmVuP0XTbHLIuBpL11y1sej+DXb8O3Bq5DCj+59Pi0DIMTGWEzNyM1MIMqYUZQPGM12p8c0/96ij1Ns4m/0YY+ddDsJ8yDAMzEzJ+KB5/V2/jbFSJaSRt2A8UT5qQebhp/zZyscekeUOK8gq0LXHO8yaQfdYPVVwKBham2AzthfmzrYmauLzKeZUVutOH5rOGkx2ZSG5MCq0WvER+kpw4n9L71vX8bhFxJ64Svud3AEK2n6DT5tfJuB5JekA4TaYNwNBMRtShs9ptgrcep+XckchvxyC/HY37yz2w8nDlwrTN2hjTuvYY21hgVtceidQA65bF/7BzIhNR5xUPy4jecYLGs18kNzKR/Jhkmix4GUVSBsknrmrL6fjD+yT9eoWY3ScBiNp2nNafvUlmQASZ18Jwn/4CUjMZcSX5FWbnE/vtaZqtfBWVPIfC7Hyar55MxpUQMv2KW4Ac+rRF5mhNZkA46lwFFp718Fw2joxLd8i/W1zxT/nNn5Ybp+E2sR+pZ64ja+GC3bw3UdwMQp2SVqXjn/n1jziumo8iMATlrWCsxr2IxNSE7GPFr8Vh1XwKk1ORbynu2rWaNBrbGRNIWbSGwvhEbateUV4+mvyCKu3znqhtx2n12ZtklRyn+iXHKb7kOLXaMoOCxHTCPjqkfS86Hl1GgzcGkfLHNeoM74pVm0YEzi0dRxi94wSNZr9IXsn75VHu/ZJfDUUlz6HVlhmEb/yRogIV9cY/j2l9J1J+Lx7359i/HcaO1mT6haIuUGHfy4tG7w6v1mt7aOUr50K1/Kcqc82bN+fLL79k9erVrFq1ipEjRzJ37lx27Njx4I2roX79+vz444/Mnj2bLVu20KlTJ1avXs2UKZUPJB05ciRHjhyhd+/eyOVy9uzZo5000bdvX+rUqUPLli1xdXWt0VwrM/D57mTIM/l8z0FS0zNo5tGQbeuX41AyKSIhKQWDMt+AFUolW3Z9Q2x8EmamJvR4tj1rFs/GylJ3osYFv+skJKXw4gu1N/Hh1p1Qprxd2sW7fkvx+z9sYF8+ev+9x7LPjJ//wtDeGte5YzFytCUvMJLQV1dSmFrcTSKr66hzH7Bcv2AiZ35C3fnjqLtgPIrIeMKnrqUgOEYbY+Rsi9vyKdru2rQfzpCw+Tud/Tq9OgDXOaU/+tzsyGoAImd/Rtr3lY+9TPvpb4zsrak/fwxGjjbk3o4k8JUPUWnzddDJN/tqMKEzNlF/wVjqLxpHQWQCdyavJy+4tFs1/cRlIhbsoO7bI2i4agoF4fHcmbqB7MvFs0HNWzfSzpZtf/FLyvLr+IZOC96DZB7/E0N7a5znjMPQwZaCoAgiJy3XTioxctU93oZOdjT59TPtY8fpI3CcPoKcizeJHLu4OMbeGreNszF0tKMoO5eCO1FETVxOzp8BVc6rrOAvfsHQTEaHDa9hZGVG6uUQzr+yjqIyrZEW7s7I7Cy1j2N/uojM3pKW81/Sdsmef2UditQsbUzoTh8MZEa0XTkeY1tz5LdjODtmDbnRpWN8W817CffRPbWP+/9R/Lk4M+JDUi4EARD5+U9IzWS0+ngahlZmZFwO5uqYtTr5mTVwxrhMfonHLmBsb0WT+aOQOdmQdTuaq2PX6gzev7NsP5qiItrumoOBzJDU0zcIXFB6q6WiAiX1xveh2QcTMDA2oiA+jaRfLxPxWeltjuIOn0VqYUL9Kf1ptmI8mpwcCq5cI2PzV1U+/nm/nSXd1gbbNycidbBFGRxO0ozFFJUMLzGs46RTwbB6eTASY2OcNupW3uXb9iPf9jXVkVRynBqXHKfs29H4lzlOJnUd0JT5fGZeDeHmm1vwWDiaJovHkBeZSMCkj8m5UzqUKKrk/WpR8n7JLwfjX+b9UqVn4z92LR6LRtPhx6UYGEnJCY4lYOLH5AQWX1eKVGrcJvfH84MJIJGQF5lI8LKvafHxtGq9vociulkfiURToa1a+LfJycmhbt267NmzhxEjRjxyeaqEoBrI6h9k9Pjumv24XG9b9ZuX/hso1bXTSvqwLE2UtZ1CtdwpqNnW/8fNsqh64xRrW7M6VWuN+7cISaj+jYZr0z/xqxD53yytkXJMx62qkXKeNP+plrknTVFREampqWzcuBEbGxuGDh1a2ykJgiAIgvAvIypz/2IxMTE0bNiQevXqsXfv3mr9XJggCIIgPDH+wzf8rQmidvAv5u7uXnHGliAIgiA8bcSYuUfyn7o1iSAIgiAIwtNGtMwJgiAIglC7RC/UIxGVOUEQBEEQapfoZn0koptVEARBEAThCSZa5gRBEARBqF2iZe6RiMqcIAiCIAi1S9ya5JGIblZBEARBEIQnmGiZEwRBEAShVpX9LVqh+kRlThAEQRCE2iXGzD0SUZkTBEEQBKF2iTFzj0SMmRMEQRAEQXiCiZY5QRAEQRBqlxgz90hEZe4/6HrHRbWdwlOvTcAntZ1CtRxrvbS2U6iWhELT2k6hWqyfsD4Q+yds/FJIgn1tp1AtmQbS2k7h3+cJ+8z92zxhlxhBEARBEAShLNEyJwiCIAhC7RItc49EVOYEQRAEQahdGjFm7lGIblZBEARBEIQnmGiZEwRBEAShdolu1kciKnOCIAiCINQucWuSRyK6WQVBEARBEJ5gomVOEARBEITaJX7O65GIypwgCIIgCLVLdLM+ElGZEwRBEAShVmnEBIhHIsbMCYIgCIIgPMFEy5wgCIIgCLVLdLM+ElGZEwRBEAShdokJEI9EdLNW05kzZ5BIJMjl8tpORRAEQRAE4b/RMjdp0iT27dvH66+/zrZt23See+utt/jyyy+ZOHEie/fufWBZXbt2JSEhAWtr6wfGnjlzht69e5ORkYGNjc1DZv/PcJw4EJc3XsTI0Ya8oCjuLt1JbkBopfG2g7riOu8VZPWcKIhKIG71fjJP+WmfN3Swpt7iiVj1bIvU2pycS7eJWboTRWSCNsZhXH/sh/fErFUjpJZmXGsxDnVW7lOd88O4GnCTPd/+QOCdMFLS0tm8Zil9enZ9rPu8p8W8kTQc1xtjK3NSr4RwbeFuciKT7rtN40n9aDpjECaO1mQGxnBtyT4yAiK0z/f6cQmOXVvobBO+35drC3YDYGxrQacvZmDdvD7GthYoUrOIP+nHrTXfUZiTX638O783kpZjeyOzNiPhSginF+8hM6ry/F07e9Lu9UE4ejXEwtmW41M/JeKkX4U4Ww9Xui4eQ93OzTAwNCA9NJ5fp28mJz6tWvm1mTuSJq/0xtjKjJSrIVxctIfsBxxfz4l9afnmIEwdrUkPjOHy0v2klTm+Fg2c6LD0FZw6NcXA2Ij4Mze4/P4+ClKzdMqp26ctXrOGY9u8PmqFiqSLQZx5bVOl+6072Zv6M4Zg7GRDTmA0IYt3k30tvNJ4xyHP0mjBaEzcHMmPTCR81Tek+V4DQGIopdHCMdj3fQbTBk4UZuWRfu4m4R9+izIpQ1uGaaM6eCwfj3VHTwyMDckJjCFi3WHkf92usD+3yf1xnzEEYydrcgJjCFq8h6z75Oc8pDMeC17GxM2RvMhEQld9S6pvgE5M4/mjqDf+eQytzJFfCSZo/i7yIhO1z1u2dqfp0lewatsYjbqI5OOXCV62H3WeAgAjWwtafzkTixb1Mba1RJmaRbLPVfzWfl/pZ7lluXPOv4rnnGfJOSev5Jxz0nPO+ZeccwC2bRrReslobL0aggbSA8K5seogmYEx9913janFbtYvvviCDRs2kJiYSJs2bdiyZQudOnXSG7t3714mT56ss04mk1FQUKB9rNFoWL58OTt37kQul9OtWze2bt1KkyZNHttr+M+0zLm5uXHo0CHy80tPoIKCAr799lvq169f5XKMjY1xcXFBIpE8jjQrpVKpHlvZtkO64bZsCvGfHiJw4BzyA6NocmA5hvb6K6zm7T1p9MV7pB76g8ABc5D7XKLxVwsx8Sw9jh67FiGr70zYa6sJ9J6NMjaFpgdXYmAq08YYmMjIPONPwuc//Cdyflj5+QV4ejRiyXsz/rF9Ani+NRiP17zxX7CHU4OWoc5T0P3gQgxkRpVuU2/os3itGEfgxiP84f0+8sAYehxciMzeSicu4sApfvaaoV1urjqofU5TVES8jx9/T9rIye5zuTprO049W9Fu3ZRq5d/uzcG0mdyf04t3892Q5ajyFQw7sADpffI3MpWRGhTD2ff3VRpj1cCJkUeWkhEWz5GXP+Lb/ou5svkoakX1ztGWMwbTfEp/Li3cza9DllOYp6DvNwvue3zdh3amw/JxXP/kf/wy4H0yAmPo+80CTEqOr6GpjH7fLkCj0fDby6vxGb4SAyMpz+99D8pcs+q/0JHum98g/Ltz/Nx/MT7DVxJ59EKl+3Ua1oUmKycQtfEHrvRbQM7taNoeWoKRg5XeeKsOTWm57V0Svj3Flb4LSDlxhdZ752HezA0AA1NjLL0aEvXJj1zpu4CbUzZi5uGK1/75OuW0ObAAiVTKtZc+4Eq/heTcjqbNgQUYO+qe587DuuC58lXCN/7AxX6LyL4dTftDizCuJD/rDk1pve0d4r49zcW+C0k+cZW2e+di0axe6bGeOZT6UwcQOP8rLr3wPuo8Be0OL9K+PzJnWzp8/z55kUlcGvg+/mPXYO5Zj1aflZ6nmiINyT5+BEz4mD+7zubWu1ux79mK9pV8lsuec76DllGYp6BHFc65NiXn3O/e75MZGEPPSs65n7xmaJcbZc45qZmMHt/OJy8uDd9Byzk9bCWFOQX0PLgAiaG00n3XqKKimlmq6fDhw8yZM4fly5fj7+9PmzZt8Pb2Jjk5udJtrKysSEhI0C7R0dE6z69fv57PPvuMbdu2cenSJczNzfH29tap8NW0/0xlrl27dri5uXHkyBHtuiNHjlC/fn2eeeYZ7TqFQsE777yDk5MTJiYmdO/enStXrmifL9/NGh0dzZAhQ7C1tcXc3JyWLVvy66+/EhUVRe/evQGwtbVFIpEwadIkANzd3dm0aZNOfm3btmXFihXaxxKJhK1btzJ06FDMzc356KOPADh27Bjt2rXDxMSERo0asXLlSgoLCx/p2DhPH0bqwd9I++4UBaGxRC/cSlGBAocxffTHvzaEzDP+JG07SkFYLPEff0verQicJr0AgKyhKxbtmxG9eBt518NQRMQTvWgbBibG2A3voS0nedfPJH5xhFz/kP9Ezg+rR5eOvDN9In17dfvH9gngMW0AdzYdJeGkH5lBd7n8zlZMnW1wHdC+0m2avj6QyG9OE334HNkhcfjP3406X4H72F46cep8BYqUTO1StpVClZlHxH5fMq5HkhebSvKft4nY+wcOnT2rlX/b1wZwZcsxIn/zJ+3OXX6ftQ1zZxsaeVeef/SZG1zc8AMRPlcrjekyfxTRp67z9+pDpN6OJis6mcjf/clPy6p0G32aTx3Ajc3HuPubP/Kgu/z57jbMnG2of5/8mk8bSOi3pwn/7hyZofFcXLgHdb4CjzHFx9exYxPM3Rz5e/YO5Hdikd+J5a9Z27Fv05A63YtbZiRSAzp+8Cp+Hx4k5OtTZEckkhkaT/TPlyrdr9sbg4k/4EvCoTPkhcQRPG8nRflKXMf21h8//QXSTwcQ8+XP5IXGEbnuMNk3I6g3ZQAA6ux8Al7+kOSfLpAXnkCWXyghi3Zj1bYxsrr2ABjZWWLW2JXoLUfJDYwpbt378BukZiaYN9f9Au7+xiBiD5wi/tBZckPiCJz3Fep8Ja5jn9ObX4PpA0k7fZ2oL38hNzSe8HXfkXUzErcp3joxEZ/+jxQfP3ICY7g18wtkzrY4DewAgEP/dhQVFhK0cHfxawiIIGj+VzgP6YypuzMAhZm5xO77nazrERTEppJ+/hZ39/5e6We5ybQBBG06Sny5c65uFc65qJJzzq+Sc67wPuecVRNXZHaW3N7wAznhCWSFxHF74xFMnGwwq+dQ6b6fBp988gnTpk1j8uTJtGjRgm3btmFmZsbu3bsr3UYikeDi4qJdnJ2dtc9pNBo2bdrE+++/z7Bhw/Dy8mL//v3Ex8dz9OjRx/Y6/jOVOYApU6awZ88e7ePdu3dXaC6dP38+P/74I/v27cPf3x8PDw+8vb1JT0/XW+Zbb72FQqHg3Llz3Lx5k3Xr1mFhYYGbmxs//vgjAMHBwSQkJLB58+Zq5btixQpefPFFbt68yZQpUzh//jwTJkzg3XffJTAwkO3bt7N3715tRe9hSIwMMW/dmKzzN0pXajRknb+OeTv9Fxzz9p668UDW2WtYtC+Ov/ctUlO2pUKjQaMsxKKjblP/fyXnJ415fUdMnW1JOl/anVWYnU/6tXDsO+jvKpAYSbHxakjy+VulKzUaks7fwr697jb1R3RjyO1t9Du9llaLRyM1Na40FxNnG+q+0IGUi0FVzt+qviPmzjbcLZOLMjufpIBwXNo9QleHRIL7822RRyYy9MB8Xrv2BaN+WnHfCqI+FvUdMXO2IeHP0vxU2fmkXAvHsb3+/AyMpNh7NSShzHuCRkPCn7dxbO8BUNzqqNGgVpZ+jtUKFZoiDU4diz/rdq3dMa9jh6ZIw+CTH/KS/+f0+XoeNp710EdiJMXSqxHp52/q7Df93E2sOjTVu411+6akn7upsy799HWsKvnsABhamaEpKqIwM6/4eKRnkxsaR52Xe2FgJkMiNcB1Qj+UKXKyr5d2IRbn15A0PfnZVJpfE9LK5Zd2+ro23rSBEzJnW53XUJidT6Z/GNYlMQbGhmiUatCUdg+q85UA2HZupne/MmdbnF7opPez/LDnnK1XQ5KqcM41GNGNobe30V/POZcdloAiPZuGY59DYiTFwMSIhq/0Iiskjry7KXr3XeOKNDWyKBQKsrKydBaFQqF3l0qlEj8/P/r27atdZ2BgQN++fblwofKW6pycHBo0aICbmxvDhg3j9u3S9ywyMpLExESdMq2trencufN9y3xU/6nK3Pjx4/nzzz+Jjo4mOjqav/76i/Hjx2ufz83NZevWrWzYsIGBAwfSokULdu7ciampKbt27dJbZkxMDN26daN169Y0atSIwYMH07NnT6RSKXZ2dgA4OTnh4uJSpXF2Zb3yyitMnjyZRo0aUb9+fVauXMnChQuZOHEijRo1ol+/fqxatYrt27c/9DExtLNEYihFlSLXWV+YmomRk63ebYwcbShM1Y1XpWRi5FgcXxAWiyI2mboLX0VqbY7EyBCXGS9i7OpQaZlPe85PGhMnGwAUKZk66wtSMjFxtNG7jczOEgNDKQXltlGkZGHiVPrZj/nf31ye+SVnR37EnS0/UX9kdzp9XrELudOXbzE8YjeDA75AlZ2P33tfVTl/s5Ic88qNE8tLycLcqXrnoU65DlYYW5jSfsZgYs7c4Ni4dUT4+PHCjndxfVb/P3B9TEuOb0GKbn4FqVmYVpLfveObn6p7fPNTMjEp6XZM8QujME9BuyVjkJoYY2gqo8PSVzAwlGLqXLxPy/pOALR5bwQ3Nh/j1MSPUWbm0v+HJRjbmFfYr5GdFQaGUpTlzjdlihzjktdRnrGTDapynwNlSiaySuINZEY0fn8cSf/7C3WZFqOAUauwaOVOr/B99Ir5hvpvDCJgzGoKM0vHqZbmV/5zV/n+ZE42FeKVKZkYlxx745LPT/nPf9nXkP7nbYydrHGfMRiJkRRDa3Oavv9KcfnOuvttve1t+kTuo9eNrRTm5HFVz2e5Js+5Aj3n3KWZX3Km5JxrUO6cK8wt4MyID2kwshsjI/cyImw3Lr3bcH7cejTqf2iWqaaoRpY1a9ZgbW2ts6xZs0bvLlNTU1Gr1TotawDOzs4kJibq3cbT05Pdu3dz7NgxDhw4QFFREV27diU2NhZAu111yqwJ/4kJEPc4OjoyaNAg9u7di0ajYdCgQTg4lDYhh4eHo1Kp6NattDvLyMiITp06ERSkv1XgnXfe4c033+S3336jb9++jBw5Ei8vrxrJt0OHDjqPr1+/zl9//aXTEqdWqykoKCAvLw8zM7MKZSgUigrfSpQaNcaSxzcOQlOoJnzaOtw/nskzt79BU6gm68/rxZMN/tmhhlX2JOZck9xGdKX9+te0j/98dcNj21fkgdPav7Pu3KUgSU6vH5Zg3sCJ3OjScSrXlx8g6JMjWDSqQ6vFo2mzYhzXFu3VW2bT4V3pvbZ0HNLPkz5+LLlLDIo/DBG/+RPwlQ8AqYExuHRoQuvxfYi/eEfvdg1f7MqzZcZJnZrwePJTpGdz9vXPeHbNZJpP6Y+mSEPksQuk3YjU3mH/3mu4+dkxYn4tHkLy15wdvHT1MxoM7kzogVOPJbfKSAyltNw5G4kEgufrVnKarn0NZWom/kOXoy5Q4jrueby+XsBV70Uok+X/aJ7l5QbHcuudrXiufBWPJWNBXUTMVz4okuVoyg3mD166n/CPf8S8cR2aLB5DmxXjSLsSonPOnf8Hz7n8JDnPlTnnDEyM6PDJNFKvhHDxzS+QSA3wfHMQ3b+eyx8Dlz62vB6HRYsWMWfOHJ11Mpmskujq69KlC126dNE+7tq1K82bN2f79u2sWrWqxvZTXf+pyhwUd7XOnDkTKJ7B8qimTp2Kt7c3x48f57fffmPNmjVs3LiRt99+u9JtDAwM0Gh0T3Z9ExzMzXW/Jefk5LBy5UpGjBhRIdbExETvvtasWcPKlSt11k2z9GS6VXErQmF6NppCNUblvvkZOlijSs5AH1WKHEMH3XgjR2tUKaXxeTfDCfSejdTSDImRIYXpWTT7eT1518P0llkdT2LO/3YJJ/353b905p/UuPjSIHO0pqDMP00TR2vkt6PLbw4UVySKCtXaVqJ7ZI5WFCRn6t0GIL1kvxYNnXUqc/fG9mSHJaCU59D72HKCPj2qk889kb/7kxRQMX8zByvyysSbOVqRcvvhZ+flp2ejVhWSHhqnsz4jNI46HSsf03f3N39Sy8ysNCjJz8TRivyyx9fBioxK8rt3fE0ddI+vqaO1TstMwrlb/K/be8hsLShSF6HKymPUtc/JiS7uLrt3PDJDSl9DkbKQ7OhkzEvGq5WlSs+iqFCtba26x9jRptIKlTJZjlG5z4GxozWKcvESQymtds7GpJ4D10Z+oNMqZ9ujFQ792nOu6WTt+pCFu7Dr5UWd0b2I3nKsXH7lP3cV93ePIlleId7Y0Rplyef0XiukzNFa5zUaO1qTXebzn3jkLxKP/IWxozXq3OLB7Q3eGER+tO7sU2VKJsqUTPLC4lFl5NDp55WEbD/Bb30Xa2Nq8pwzqeY5V//Frpi7OXJq8Aptt/HFGZ8z/M4O6lZzCMFDq6HZrDKZrMqVNwcHB6RSKUlJuu9XUlISLi4uVSrDyMiIZ555hrCw4v8T97ZLSkqiTp06OmW2bdu2SmU+jP9UNyvAgAEDUCqVqFQqvL29dZ5r3LgxxsbG/PXXX9p1KpWKK1eu0KJF5eOm3NzceOONNzhy5AjvvfceO3fuBIpnvkJx61lZjo6OJCSU3u4iKyuLyMjIB+berl07goOD8fDwqLAYGOh/KxctWkRmZqbOMsmydCyFRlVI7s1wLLuXaU2USLDq7kWuf7DeMnP9grHqrtv6aNWjLTl+FePV2XkUpmcha1gHc6/GyH+7/MDX+SBPYs7/doW5BeRGJWmXrJA48pMycOreUhtjaGGK3TONSbuq//YvGpUa+Y1InW2QSHDq3oo0v8pvGWPTqgEABUnySmMkJZ/ve5Wg8lS5BWRGJWmX9JA4cpPkuJXJxcjCFOe2jUn0rzyXBylSqUm+HoFtozo6620a1SE7LrXS7QpzC8iOStIumSFx5CXJqVMuP8dnGpNSybEqUqlJuxGpsw0SCS7dW5LiV/ELhyIjB1VWHi7dWmDiYMXd3/0BSL8RhbpAiVXj0tcgMZRi4eZIbmzF16BRqcm+EYFtj1Y6+7Xt0Yqsq/onAmX6hWDXo7XOOrteXmSV+ezcq8iZNnIhYNQqCjNydOK1s8jLzVDUFGmgzPWuOL9I7MvlZ9ejFfJK8wvVjQfse3lp4/Ojk1EkZWBXJkZqYYp1Ow8y9ZSpTMlEnafAeVgXihRK0s7erBCjTa2kZVRTqNZ7zjlX85zLqIFzztBUVtxyW7aRoUgDGnSO9eOkKSqqkaU6jI2Nad++Pb6+vtp1RUVF+Pr66rS+3Y9arebmzZvailvDhg1xcXHRKTMrK4tLly5VucyH8Z9rmZNKpdouU6lUt6vR3NycN998k3nz5mFnZ0f9+vVZv349eXl5vPbaa/qKY9asWQwcOJCmTZuSkZHB6dOnad68OQANGjRAIpHwyy+/8MILL2BqaoqFhQXPP/88e/fuZciQIdjY2LBs2bIKueizbNkyBg8eTP369XnppZcwMDDg+vXr3Lp1iw8//FDvNvq+pZTvYk3acYyGn75L3vUwcgNCcZ46BANTE1IPF38Y3Te9iyoxjbi1B4rjd/2M5w8f4Tx9GJm+V7Eb1gMzr8ZELfhSW6btoK4UpmehiEvBrFkD3FZORX7yMlnnArQxho42GDnaInMv/iZj2qwB6px8lPEpqOW6F/bynsScH1ZeXj4xsfHax3HxSdwJCcfaypI6Lk6PZZ8AYTt9aD5rODmRieTGpNBywUvkJ8mJ9ym971rP7xYRd+Iq4Xt+ByBk+wk6bn6djOuRpAeE02TaAAzNZEQdOguAeQMn6o/oSoJvAMr0HKxb1KfNyvGkXAgiM+guAC7Pt0HmaE1GQASFuQVYedbDa9krpF4OJk9PZaMyAbt86PD2cOSRSWTdTebZuS+RmyTXuW/c8IOLiPC5yo19xfkbmcmwdi8d62Ll5ohDi/oUyHO195Dz3/4rA76YSfylO8ReCKJBLy8a9n2GIy9XbyJS0Fc+tH5nOFkRSeTcTabtvJfIS5ITUya/focXEXPiKsF7i/ML2nmCbp++TuqNSNKuhdN82gAMTWWEHT6r3abxyz3JDIujIC0bx/ZN6PTBeAJ3+pAVXvwFUpWTT/CBU7SZO5Lc+DRy49Jo+cYgAKJ/0T+j9e62X2j+2VtkB0SQdS0Mt+kvIDWTEX/oDADNt7yFIjGdiI+Kb3dxd8evtDu6Arc3BpP2hz/Ow7th2aYxd+buAEoqcrvmYNm6ITfGr0NiYKBtKVPJc9Co1GRdDUElz6H5lplEbfyhuJt1fB9M6zuRVlIxvSdq23FaffYmWQERZF4Lo742v+Lj0mrLDAoS0wn76FDx69xxgo5Hl9HgjUGk/HGNOsO7YtWmEYEl+d2LaTT7RfIiE8mPScZjwcsokjJIPlE609ltijfyK8GocxXY92pN02XjCP3oIIVZxZM4HPq0xdjRmqyAcApzFVh41qPpsnGVfpZDS8657JJzrlXJORf3gHOuUzXPubblzrmkczfxWjqWZ9ZMImz3b0gkEpq9PZSiQjUpfwXq/UzUuFq6z9ycOXOYOHEiHTp0oFOnTmzatInc3Fzt5MgJEyZQt25d7bi7Dz74gGeffRYPDw/kcjkbNmwgOjqaqVOnAsUzXWfNmsWHH35IkyZNaNiwIUuXLsXV1ZXhw4c/ttfxn6vMQfE9Yiqzdu1aioqKePXVV8nOzqZDhw6cPHkSW1v9g+DVajVvvfUWsbGxWFlZMWDAAD799FMA6tatq520MHnyZCZMmMDevXtZtGgRkZGRDB48GGtra1atWlWlljlvb29++eUXPvjgA9atW4eRkRHNmjXTfogeVsbPf2Fob43r3LEYOdqSFxhJ6KsrKSwZaC2r66hzouX6BRM58xPqzh9H3QXjUUTGEz51LQXBpd1DRs62uC2fou36TPvhDAmbv9PZr9OrA3CdM0b7uNmR1QBEzv6MtO/vP27nScz5Yd26E8qUtxdoH6/fUvwPZ9jAvnz0/nuPZZ8AwV/8gtRMRvsNr2FkZUbq5RD+fGUdRWVm/Jq7OyOzs9Q+jv3pIjJ7S1rMf6n4psG3o/nzlXUoSiYiFKkKcerRCo+pxf9w8uLTiTt+haBNR7VlqAtUNBrXG8uV45EaG5EXn0bcr1cI/vznauXvv/UXjMxk9F47BZlV8U2Df3p1vc794KwbOGFSJn8nr0aM+H6J9nGP5cUTpIK+P8cfc4qPe4TPVU4v3k2Ht4bS84MJZIQn8Ovrm0m4Ur3b1dz+8hcMzWR0WT8FYyszkq+E8Mf49TrH17JcflE/XUJmZ0XbuSOLbxp8Oxrf8et1bghs3bgO7Ra9jLGNBbmxKdz47CeCdpzQ2bffqoNoCtV0/+xNpCbGpF4L47eXV6MsmUlaXvKxCxjZW9Fo/ssYO9mQfTuK62NXayc5mNR10Dnfsq6GcPvNz2i0cAyNF48lLzKBm5M2kHunuPIgq2OH44COAHQ6rTtWzP/FFcj/DkSVns31satptGgMz/y4DImRlNzgWG5MXE9OoG63Y9KxCxjbW9F4/ihkTjZk347Gf+xa7SQHk7oOOuPYMq+GcPPNLXgsHE2TxWPIi0wkYNLH5NyJLT3Wn/+E1ExGi4+nYWhlhvxyMP5j1uq8P9bPNKbxvJcwNDchNyyewHlfkfDDee3z6gIl9cb3wfyDCRgYG1EQn0byr5e5/vkveo9z8BfFn4kOZc658+XOOYtKzrmWJeec/HY058udc849WtGkzDkXW+6cyw5L4M+JG2n53gie/3kFFGnIuBXF+VfW6x3W8DQZPXo0KSkpLFu2jMTERNq2bYuPj492AkNMTIxOz1dGRgbTpk0jMTERW1tb2rdvz99//63Tezd//nxyc3OZPn06crmc7t274+PjU+lwqJog0ZQfvCU89a7WG17bKTz12gR8UtspVMux1k/WIOcEwydrVor1E/azk/UKlbWdQrUUPmEjhjIN/qEb8daQUQnfPPZ95Mx7sUbKsdjwvxop50nzn2yZEwRBEAThX0TzhH3j+Zd5sr7OCIIgCIIgCDpEy5wgCIIgCLWrliZAPC1EZU4QBEEQhFpV/kbLQvWIblZBEARBEIQnmGiZEwRBEAShdomWuUciKnOCIAiCINSuav56g6BLdLMKgiAIgiA8wUTLnCAIgiAItUt0sz4SUZkTBEEQBKF2icrcIxGVOUEQBEEQapX4ZdFHI8bMCYIgCIIgPMFEy5wgCIIgCLVLdLM+ElGZEwRBEAShdonK3CMR3ayCIAiCIAhPMNEy9x+UozKq7RSqxdjgybuZ5LHWS2s7hWoZdnNVbadQLe91WFTbKVRLE56sc87DQF3bKVSLq3NGbadQLZeSnGo7hX8d8dusj0ZU5gRBEARBqF2iMvdIRDerIAiCIAjCE0y0zAmCIAiCULuevNE0/yqiMicIgiAIQq0SY+YejehmFQRBEARBeIKJljlBEARBEGqXaJl7JKIyJwiCIAhC7RJj5h6JqMwJgiAIglCrxJi5RyPGzAmCIAiCIDzBRMucIAiCIAi1S3SzPhJRmRMEQRAEoVaJbtZHI7pZBUEQBEEQnmCiZU4QBEEQhNolulkfiWiZe4AVK1bQtm1b7eNJkyYxfPjwWstHEARBEJ42mqKaWf6rnuqWuZSUFJYtW8bx48dJSkrC1taWNm3asGzZMrp161alMubOncvbb79dpdhJkyaxb9++Sp9v0KABUVFRVSqrNrhO9qb+jKEYO9mQExhN6OLdZF8LqzTeccizNFwwBhM3R/IiE4lYdYB032va593njsJpeDdkde0pUhaScyOCiDUHyfYvLtOmawva/m+l3rL9vBeSHRB+33xdJg3AdcYwjB1tyA2MInLJLnICKs/XfnAX3BaMxaSeI/mRCUR/eAD5KX+dGNMmdWmw5FWsurRAYiglPySWO1M3oIxLxdDGAre5o7Hp1Qbjug4UpmeRfuIyMesPoc7Ou2+u97SYN5KG43pjbGVO6pUQri3cTU5k0n23aTypH01nDMLE0ZrMwBiuLdlHRkCE9vlePy7BsWsLnW3C9/tybcFuAIxtLej0xQysm9fH2NYCRWoW8Sf9uLXmOwpz8quUd3VcDbjJnm9/IPBOGClp6Wxes5Q+PbvW+H6q6oXZo+gytg+mVuZEXg3mu/e/IiUqsdL47uP70W1cP+zrOQKQEBqLz2c/EnQmQBvTdWwf2g/rhlvLhphYmrHAazL5WVX7DDxI5/dG0nJsb2TWZiRcCeH04j1kRlX+GXHt7Em71wfh6NUQC2dbjk/9lIiTfhXibD1c6bp4DHU7N8PA0ID00Hh+nb6ZnPi0KuX1T59vAC1/XIl111Y62yTuP0nEgh1Vyrk8y9FDsZ44Cqm9HcqQcNLWfYHyVrDeWIsRA7EY3A8jD3cAlIGhZHy+Wyfe7PnuWI4ajHHzJkhtrIgf/QbK4Ptftx6k1byRNBrXG6OSa4RfFa4RHpP60azkGiEPjMF/yT7Sy1wjAOzbe9B64cvYt2uMRq0h43Y058auRV2gAmDw5U2YuznqbHP9o0Pc+fznR3o9wj/jqa7MjRw5EqVSyb59+2jUqBFJSUn4+vqSlla1ixeAhYUFFhYWVYrdvHkza9eu1T6uU6cOe/bsYcCAAQBIpdLqvYB/kOOwrnisnEjI/B1k+YdRb/ogvA4t4XK3d1GlZlWIt+rQlBbbZhHx0bek/e6H04jutNo7H79+88m9cxeAvIgEQhfvIj86CQMTY9xeH0ybw0u59OzbqNKyyLwSwt+tpumU675wNLY9Wj+wImc/tCvuKyYRsWA72ddCqTNtMC0OLuVa9+Kyy7Ps4EnTrbOJXv0NGX9cxeHFHjTbM58b/eeRF1ycr6yBM62OfkTyQV/ufnyYwuw8zDzd0BQoATB2tsXYxY6oD/aTF3IXWT1HGq97HWMXO4KnffzAY+z51mA8XvPmyrvbyYtJpuX8UXQ/uJDfes2nSKHSu029oc/itWIc/gt2k34tnCbTBtDj4EJOdp+LoszrjDhwitvrf9A+VucrtX9rioqI9/Hj9rrvUaRlY+HuTNs1k2hnY8Hlt754YN7VlZ9fgKdHI14c1J9Ziz+s8fKro+8bQ+k5eSDfvPclaXeTGfTey7y5fzGr+71HYSXHXJ6Qxs/rvi2u8EkkdBrZk2k75rF+0AISQ2MBMDaVEXT2OkFnrzN0wSs1lm+7NwfTZnJ/fp+znayYFJ6d9xLDDizgmz4LUFeSr5GpjNSgGAK/O8egnbP0xlg1cGLkkaUEHjrLpY0/oszJx75pvUrLLK82zrd7Eg/8zt31h7SPi/IVVcq5PLP+vbB773XSPvoMxc0grMaNwPnLNcQNm0JRhrxCvEmHNuT6nEZxPRCNQonV5NG4bF1L3MipqJOL/4dITE0ouHaL3N/O4rB8zkPlVVaztwbT5DVvLr27ndyYZFrPH0Wvgws5cZ9rhNvQZ2m7Yhx+C3aTdi2cptMG0OvgQn4tc42wb+9Bz28XELTlJ/yX7EOjLsKmRf0Kkw5urv+eiAOntY9VOQWP/Jqq7D/cqlYTntpuVrlczvnz51m3bh29e/emQYMGdOrUiUWLFjF06FBtXExMDMOGDcPCwgIrKytefvllkpJKvwWV72a9H2tra1xcXLQLgI2NDS4uLixevJjJkyfrxKtUKpycnNi1axcAzz33HDNnzmTmzJlYW1vj4ODA0qVL0WhKTziFQsHcuXOpW7cu5ubmdO7cmTNnzjzkUSrl9sZgEg74knjoDHkhsYTM20FRvpI6Y5/XG19v+iDSTwdw98ufyAuNI2rdYXJuRlB3ygBtTPKRP8k4d5OC6GTygmMJW7YPQyszzFvUB0CjKkSZItcuqoxsHAZ0JPHgab37LMv19SEkffMHyYdPkx8SS8T87ajzFTiN7aM3vs7UQWScvkb81mPkh8Zxd/0hcm9G4jJloDamwcJXyDjlT/SHX5N7KxJFdBIZv13V/rPKC75L8NQNZPx+FUV0Ell/3SJm7bfY9usA0gefSh7TBnBn01ESTvqRGXSXy+9sxdTZBtcB7SvdpunrA4n85jTRh8+RHRKH//zdqPMVuI/tpROnzlegSMnULmVb3FSZeUTs9yXjeiR5sakk/3mbiL1/4NDZ84E5P4weXTryzvSJ9O1Vtdbvx6nXlBf4bcsRbv5+lfg7MXw95wusnW3x6t+x0m1u+foTeCaAlKhEUiITOP7xYRR5Bbg/00Qbc2b3r/yx9RhR10JrNN+2rw3gypZjRP7mT9qdu/w+axvmzjY08q78MxJ95gYXN/xAhM/VSmO6zB9F9Knr/L36EKm3o8mKTibyd3/y9VTE9KmN8+2eonwFqhS5dlE/ZGuy9asjyT5ygpxjJ1FFxJD24WY0BQosh3vrjU9dvJbs735GGRyOKuouaSs/AYkEk07PaGNyj/9B5o4DFFzy11tGdTWdNoDATUeJL7lGXCq5RtS9zzXC8/WBRHxzmsjD58gKiePq/N0U5itoWOYa8czKVwnddZI7n/9MVkgc2eEJ3P35EkXKQp2yCnMKKEjJ1C7qh6w4PwzRzfpontrK3L0WtaNHj6JQ6P9AFhUVMWzYMNLT0zl79iy///47ERERjB49usbzmTp1Kj4+PiQkJGjX/fLLL+Tl5ensb9++fRgaGnL58mU2b97MJ598wldffaV9fubMmVy4cIFDhw5x48YNRo0axYABAwgNffh/KhIjQyy9GpFx/kbpSo2GjHM3sOrQVO82Vu2bknHuhs669NPXK42XGBni+mpfCjNzyb0drTfG3rsDRraWJB66f2VOYmSIhVdjMsvlm3n+Bpbt9e/fskNT3XhAfiYAy/YlFRqJBNu+7SmIiKf5waV0vLmb1sfXYDeg031zkVqZoc7JA/X9ryLm9R0xdbYl6fxt7brC7HzSr4Vj36GJ3m0kRlJsvBqSfP6WzutMOn8L+/a629Qf0Y0ht7fR7/RaWi0ejdTUuNJcTJxtqPtCB1IuBt035yedvZsT1k62BP91U7uuIDuf6IAw3NvpP+blSQwktBvSFZmpjCj/kMeVKgBW9R0xd7bhbpn3W5mdT1JAOC5VzFcviQT359sij0xk6IH5vHbtC0b9tOK+FUSdzWv5fHMc0YOOt/fQ9vSn1F88DoP7fLYrZWiIcfOmupUujYaCS/7IvFpUvl0ZEhMZGBpSlJld/f1Xgb5rhCo7n7Rr4ThUco0wMJJi69WQJD3XCIeSa4TM3gr79h4oUrPo89Nyht34kt5H3sehU8X3rtnMIQy/vY3+v32E55uDkFThS6rw7/DUdrMaGhqyd+9epk2bxrZt22jXrh29evVizJgxeHl5AeDr68vNmzeJjIzEzc0NgP3799OyZUuuXLlCx46Vf3uvrq5du+Lp6cnXX3/N/PnzAdizZw+jRo3S6cZ1c3Pj008/RSKR4Onpyc2bN/n000+ZNm0aMTEx7Nmzh5iYGFxdXYHiMX0+Pj7s2bOH1atXP1RuRnaWSAylKFMyddYrUzIxa1JX7zbGTjZ64uUYO9norLPv144W22djYGqMMknO9ZdXoUrXfzGs88rzpJ8OQJGQft98DbX5ynXWq1IyMfXQn6+Row2qcvmqUuQYleRr5GCN1MKUujNfJGbdQaI//Brb3s/guWset19aTtaFQL15uM0eRdKBP+6bL4BJyX4U5XIoSMnExNFG7zYyO0sMDKUUlNtGkZKFlYer9nHM//4mLzaV/EQ51i3caL1kLJaN63DhtU0623X68i1cB7TH0FRG/Ek//N77iqeZVclxzS53/LJTMrXPVaaOpxtzjnyIocwIRV4BX73+MYlhcY8p02JmJTnllRvWkJeShbmT9cOX62CFsYUp7WcM5uKGH/h79SEaPNeGF3a8y5HRq4m/eOe+29fm+Zb6vz9RxKagTEzHrEUDGix5FdPGrgS/tqFax0Bqa43EUIo6LUNnvTotAyN3tyqVYTtrKuqUtBprhSvv3jWi/Pl+v2uEcSXXiIIy1wiLBk4AtHxvBNc/+JaM29G4j+rBc98txqf3Au14vJBdJ8m4EYVSnoNDx6Z4LRqNqbMNASu+qcFXeR//4Va1mvDUVuageMzcoEGDOH/+PBcvXuTEiROsX7+er776ikmTJhEUFISbm5u2IgfQokULbGxsCAoKqtHKHBS3zu3YsYP58+eTlJTEiRMnOHXqlE7Ms88+i0Qi0T7u0qULGzduRK1Wc/PmTdRqNU2b6n6jUigU2Nvb692nQqGo0DKp1Kgxlvwz4/cy/rrN1efnYWRvSZ3xfWmxcw7+AxdVGIcnq2OHXe+23J72yT+SVwUGxcc83ecKCTt+ASDvdhSWHTxxftW7QmVOamFK868Xkxdyl7sfH65QnNuIrrRf/5r28Z+vVu+fT3VElhnjknXnLgVJcnr9sATzBk7kRidrn7u+/ABBnxzBolEdWi0eTZsV47i2aO9jy+uf1mFYd0avLh2DuX3K2vtE319yRDzrXpiPqaUZbV94lvEb3+Kz0StqtELXdHhXeq+don3886QHj7t8GJKSz3bEb/4EfOUDQGpgDC4dmtB6fJ8HVuYeiyqeb0kHftdukncnBmVSBq1+WImsgTOK6PtPCqhJ1pNHY+79HIlT56JRVm2c4YM0KHeNOP+4rhElxzr8wCkiD58DIOBWNM7dW9Jw7HPcXF18/QrZfkK7SWbQXYqUhXRYP4Ubqyte3x6H/3IXaU14qitzACYmJvTr149+/fqxdOlSpk6dyvLly5k0adI/nsuECRNYuHAhFy5c4O+//6Zhw4b06NGjytvn5OQglUrx8/OrMJmiskkaa9asYeVK3RmjE82aM8mipfaxKj0bTaEaY0fdb//GjtYok+V6y1Umy/XE21SIL8pTkB+VSH5UIll+oXS68Bl1XnmemM+O6sS5jOmNKiObtJOVj/u5p1Cbr43OeiNHa1SV5KtKkWNULl8jRxttfGF6NkWqQvJD7+rE5IfGYtmpuc46A3MTmn/7PuqcAu5MWY+mUF1hfwkn/fndv3QSh9S4+FSTOVpTUCZHE0dr5JV0OyvSsykqVGNSLm+ZoxUFyZl6twFIL9mvRUNnncrcvfF02WEJKOU59D62nKBPj+rk8yS7+cdVogJKhxsYGhsBYOloTVaZViVLR2tiA6PuW5ZapSa1pLJw91Yk9b0a02vKCxxevLPG8o383Z+kgIqfETMHK/LKvCdmjlak3I556P3kp2ejVhWSHqpbEc0IjaNOxwePm6zt862sHP/i99e0YZ1qVebUGZloCtVI7W111kvtbVGnZlSyVTGrCS9hPWUMia8vQBUaWeV9PkjcSX/SylwjDEref5NqXCOUlVwjTMpcIwqSisvKCtF9/7NC4zGvq78RACDNPwwDI8MKM1wfF1GZezT/uQ7xFi1akJubC0Dz5s25e/cud++WXlACAwORy+W0aFG1cRTVYW9vz/Dhw9mzZw979+6tMCEC4NKlSzqPL168SJMmTZBKpTzzzDOo1WqSk5Px8PDQWe5NuChv0aJFZGZm6iyvmDfTidGoCsm+EYFNj9alKyUSbHu0Juuq/nFCWX4huvGAbS+vSuO1xRpIMCj5J1uWy9jeJH13Vm/FqDyNqpCcG+FYd9fN17q7F9l++veffTUE6+5eOuuse3qR7RdcWmZAGCaNdbuNTBq7oohN0T6WWpjS8tAyNKpC7kxag6aSGWaFuQXkRiVpl6yQOPKTMnDqXlqJNrQwxe6ZxqRd1T/eUaNSI78RqbMNEglO3VuR5lf5GEmbVg2A0ou4PhKD4lP/3j+Qp4Eit4DU6CTtkhgaS2ZyBk27ln5OTCxMadDWgyj/6o0xlRhIMKzhY6XKLSAzKkm7pIfEkZskx63M+21kYYpz28YkVjPfsopUapKvR2DbqI7OeptGdcguuQXI/dTm+VaeeSt3AJRJ96+AVVBYiDIoRGfywr3JDIobFYdQ3GM16WVspo0nacZilIE1O2ayMLeAnKgk7XLvGuFc7hph/0xjUiu5RhSp1GTciNTZBokE5+6tSC25RuTeTSEvIR3Lxrrvv2UjF3JjK3//bVs1oEhdREFq5V8chX+Pp+dKXk5aWhqjRo1iypQpeHl5YWlpydWrV1m/fj3Dhg0DoG/fvrRu3Zpx48axadMmCgsLmTFjBr169aJDhw6PJa+pU6cyePBg1Go1EydOrPB8TEwMc+bM4fXXX8ff358tW7awceNGAJo2bcq4ceOYMGECGzdu5JlnniElJQVfX1+8vLwYNGhQhfJkMhkymUxnnb4u1rvbfqH5Z2+RHRBO9rXiW5MYmMlIKJmM0GzLTBSJ6UR+9C0AsTuO0/boSuq9MZj0P/xxGt4NyzaNCZm7HQADMxkNZo0g7eRVFEkZGNlZUXeKNzIXO5J/vqCzb5serTBt4EzCN75VPo7x23+myea3ybkeTk5A8a0SpGYykg8Vd1t7fPY2ysR0YlYXj/dI+Oo4LY98gOvrQ8jw9cdhWDcs2jQmYt620jK3HqPptjlkXQwk669b2PR+Brt+Hbg1chlQXJFrcWgZBqYyQmZuRmphhtTCDKB4Bl7R/b9ahu30ofms4eREJpIbk0LLBS+RnyQn3qf0nmA9v1tE3ImrhO8p7l4K2X6CjptfJ+N6JOkBxbcmMTSTEXXoLADmDZyoP6IrCb4BKNNzsG5RnzYrx5NyIYjMoOIvKS7Pt0HmaE1GQASFuQVYedbDa9krpF4OJu8+F/OHlZeXT0xsvPZxXHwSd0LCsbaypI6LU43v737O7v4V77dfJCUqoeTWJKPJTMrgxm9XtDFvffM+N05e4fz+kwAMmT+WwDMBZMSnIjM3ocOw7ng824KtE0rHpFo6WmPlaINjg+IvUXU866PIzScjLpW8zNyHzjdglw8d3h6OPDKJrLvJPDv3JXKT5Dr3jRt+cBERPle5sa/4M2JkJsPa3Vn7vJWbIw4t6lMgz9XeQ85/+68M+GIm8ZfuEHshiAa9vGjY9xmOvPxRlfKqjfNN1sAZxxE9yPD1pzA9G7MWDWi4cjKZF26TF6S/pep+Mr/+EcdV81EEhqC8FYzVuBeRmJqQfaz4fXdYNZ/C5FTkW4rvz2g1aTS2MyaQsmgNhfGJ2la9orx8NPnFt+wwsLLEsI4TUsfiFi7DBvUAUKemVxifVxUhO31oMWs42SXXiFYl14i4MteI575bROyJq4SVXCOCt5+g8+bXSb8eSVpAOJ4l14jIkmsEQPDW47ScOxL57Rjkt6Nxf7kHlh6u/DVtM1B86xL7dh4k/xWIKicfhw5NaLtyPNE//okqs2bun/ggomXu0Ty1lTkLCws6d+7Mp59+Snh4OCqVCjc3N6ZNm8bixYsBkEgkHDt2jLfffpuePXtiYGDAgAED2LJly2PLq2/fvtSpU4eWLVtqJzGUNWHCBPLz8+nUqRNSqZR3332X6dOna5/fs2cPH374Ie+99x5xcXE4ODjw7LPPMnjw4EfKK+XY3xjbW9Fw/ujimwbfjuLG2I+0g5hN6jpAmXsSZV0NIejNzTRcOJZGi18hPzKBW5PWa+8xh7oIM4+6uLz8HEZ2lqgysskOCOfasGXkBcfq7LvOK33IvHyHvLB4qirtp78xsrem/vwxGDnakHs7ksBXPkRV8i1SVi7f7KvBhM7YRP0FY6m/aBwFkQncmbxee88rgPQTl4lYsIO6b4+g4aopFITHc2fqBrIvF48pMm/dSDt7r/3FL3Xy8ev4xn1bFACCv/gFqZmM9htew8jKjNTLIfz5yjqd+0eZuzsjs7PUPo796SIye0tazH+p+KbBt6P585V1KErGHBapCnHq0QqPqcUX8Lz4dOKOXyFo01FtGeoCFY3G9cZy5XikxkbkxacR9+sVgh/TzUBv3QllytsLtI/Xbym+weuwgX356P33Hss+K/PHtp8wNpUxZs10TK3MiLgSzNaJa3TuMefQwBmLMsfcwt6K8Z/MwNrRlvzsPOLvxLB1wmqC/yydFdt9XD8GzhqlfTzr++KhDAfmfsnlH0r/iVaX/9ZfMDKT0XvtFGRWxTcN/unV9Tr3g7Nu4IRJmXydvBox4vsl2sc9lo8HIOj7c/wxp/jYR/hc5fTi3XR4ayg9P5hARngCv76+mYQrVWttqo3zTaMqxLqHF3WmFlccFfFppB2/SOymH3gYeb+dJd3WBts3JyJ1sEUZHE7SjMUUpcsBMKzjBGVuA2X18mAkxsY4bVyuU458237k274GwOy5Ljh8ME/7nNP69yvEVMedL37B0ExGhw2vYWxlRsrlEM6Wu0ZYlLtG3C25RrQquUbIb0dztsw1AooriQYyI55ZOR5jW3Pkt2M4O2aNdhhGkbKQ+sO60PK9ERgYG5F7N4WQHT4Eb/+12q/hoWkkD44RKiXRlL2JmfDY5eTkULduXfbs2cOIESN0nnvuuedo27YtmzZteqw5nHEe9eCgfxFjgyfvK1s8JrWdQrUMu7mqtlOolvc6LKrtFKqlibri0IJ/s/aFNf/LII+Tq3PV7pf3b3Ep6Z9toX5UoxMe/4zWpOeeq5FynB/ivqtffPEFGzZsIDExkTZt2rBlyxY6ddJ/W6qdO3eyf/9+bt0qvh1M+/btWb16tU68vl+D8vb2xsfHp9q5VdV/bsxcbSkqKiI5OZlVq1ZhY2Ojc+NiQRAEQfgvq62bBh8+fJg5c+awfPly/P39adOmDd7e3iQnJ+uNP3PmDGPHjuX06dNcuHABNzc3+vfvT1yc7gSTAQMGkJCQoF0OHjz4MIelyp7abtZ/m5iYGBo2bEi9evXYu3cvhobi0AuCIAgCgKaodrpZP/nkE6ZNm6adkLht2zaOHz/O7t27WbhwYYX4b77RbaX86quv+PHHH/H19WXChAna9TKZrNKJiY+DqFH8Q9zd3XlQj3ZN/CyXIAiCIPxX6bu3qr6JgABKpRI/Pz8WLSodtmFgYEDfvn25cOFChXh98vLyUKlU2NnZ6aw/c+YMTk5O2Nra8vzzz/Phhx9Wej/YmiC6WQVBEARBqFU11c26Zs0arK2tdZY1a9bo3WdqaipqtRpnZ2ed9c7OziQmJlYp7wULFuDq6krfvn216wYMGMD+/fvx9fVl3bp1nD17loEDB6JWP/jWWw9LtMwJgiAIglCrNDU0m3XRokXMmTNHZ52+VrmasHbtWg4dOsSZM2cwMSmd9DZmzBjt361bt8bLy4vGjRtz5swZ+vTp81hyES1zgiAIgiA8FWQyGVZWVjpLZZU5BwcHpFIpSUm6vyaSlJT0wPFuH3/8MWvXruW3337T/t57ZRo1aoSDgwNhYWHVezHVICpzgiAIgiDUqtqYzWpsbEz79u3x9S29YX1RURG+vr506dKl0u3Wr1/PqlWr8PHxqdIPDMTGxpKWlkadOnUeGPuwRDerIAiCIAi1qrZms86ZM4eJEyfSoUMHOnXqxKZNm8jNzdXObp0wYQJ169bVjrtbt24dy5Yt49tvv8Xd3V07ts7CwgILCwtycnJYuXIlI0eOxMXFhfDwcObPn4+Hhwfe3t6P7XWIypwgCIIgCLWqtn6+YPTo0aSkpLBs2TISExNp27YtPj4+2kkRMTExGBiUdmJu3boVpVLJSy+9pFPO8uXLWbFiBVKplBs3brBv3z7kcjmurq7079+fVatWPbaxeyAqc4IgCIIg/IfNnDmTmTNn6n2u/C3DoqKi7luWqakpJ0+erKHMqk5U5gRBEARBqFW11c36tBCVOUEQBEEQapWozD0aMZtVEARBEAThCSZa5gRBEARBqFW1NQHiaSEqc4IgCIIg1CrRzfpoRGXuP8jBPL+2U6iWmvqZl39SQqFpbadQLe91WPTgoH+RjVf1/9biv5Wf19zaTqFa8oqerH8NP6Q7PzjoX8Qd0Qwl1Kwn64wVBEEQBOGp8yR+af83EZU5QRAEQRBqVXV/ikvQJWazCoIgCIIgPMFEy5wgCIIgCLWqSHSzPhJRmRMEQRAEoVaJMXOPRlTmBEEQBEGoVeLWJI9GjJkTBEEQBEF4gomWOUEQBEEQapX4BYhHIypzgiAIgiDUKtHN+mhEN6sgCIIgCMITTLTMCYIgCIJQq8StSR6NqMwJgiAIglCrxK1JHo3oZhUEQRAEQXiCiZY5QRAEQRBqlZjN+mieispcYmIiH330EcePHycuLg4nJyfatm3LrFmz6NOnzz+ai0Ry/6bi5cuXs2LFin8mmUdk9+ogHKaNwNDRloKgSBJWbCf/RojeWFmT+jjNHodpKw+M6zmTsGoHaXt+qrRshzdewmX+JFL3HCNx1c4ayvcFHKeX5hu/Yjv510Mrzdd59jhMWzfGuJ4z8R/srJCv3biB2I0fiHFdZwAUoTEkfXaInLN+NZIvQOf3RtJybG9k1mYkXAnh9OI9ZEYlVRrv2tmTdq8PwtGrIRbOthyf+ikRJyvmY+vhStfFY6jbuRkGhgakh8bz6/TN5MSnPVK+L8weRZexfTC1MifyajDfvf8VKVGJlcZ3H9+PbuP6YV/PEYCE0Fh8PvuRoDMB2piuY/vQflg33Fo2xMTSjAVek8nPynukPKvjasBN9nz7A4F3wkhJS2fzmqX06dn1se/XedIAXN8cjpGjDXmBUUS+/xW5AWGVxtsN7oLb/LHI6jlREJlAzEdfIz/lr33+2fgjereLXrWPhK3HkNVzpO7sUVh1a42xow3KpAxSj5wlbvOPaFSFD8y37mRv6s8YgrGTDTmB0YQs3k32tfBK4x2HPEujBaMxcXMkPzKR8FXfkOZ7DQCJoZRGC8dg3/cZTBs4UZiVR/q5m4R/+C3KpAydcuz7PoP7ey9h0bwBRQol8gtB3Jy04YH5VqbbnJG0fqU3Misz4q+G8PviPcjvc87V6+RJxzcG4dy6+Jw7OvVTwn7TPefMHKzouWgM7j1bI7MyI/ZSML7L9t233Mq0mDeShuN6Y2xlTuqVEK4t3E1O5P3LaTypH01nDMLE0ZrMwBiuLdlHRkCE3tju38zH5fk2/D35E+J9Sl+HbZtGtF4yGhuvhqCB9IBwbq46SGZgTLVfw8MQY+YezRPfzRoVFUX79u05deoUGzZs4ObNm/j4+NC7d2/eeuutSrdTqVSPJZ+EhATtsmnTJqysrHTWzZ0797Hst6ZZDeqBy+KpJH92kPAh71IQFIn7vg+Q2lvrjTcwlaGMSSRp/T5Uyen3LdvUqwl2YweQHxRZY/laD+pOnSVTSd58kLDBsygIiqThg/K9m0jiusrzVSWmkrRuH2FDZxE2bDY5F27QYMcSZE3q10jO7d4cTJvJ/Tm9eDffDVmOKl/BsAMLkMqMKt3GyFRGalAMZ9/fV2mMVQMnRh5ZSkZYPEde/ohv+y/myuajqBWP9pnv+8ZQek4eyHdLvuKT4UtQ5hfw5v7FGN4nX3lCGj+v+5YNQxaxYehiQv6+xbQd83BpUk8bY2wqI+jsdX778ugj5few8vML8PRoxJL3Zvxj+7Qf2o0GyycT+8l33PSeS25gFM2/XYZhJZ9Xiw6eNPlyDskHfbnR/z3SfS7TdPcCTD1LP4t+baboLOGz/8/eWYdHdXRx+N3Yxn1jQIQAwR1arC3FHUpxd3cNLsWhLdJCKcW1pUCB4lYoxZIQLESJQNzds98fC5ssJCEh0JCv8/aZh+7cMzO/O7n37rlnZLcgz8kh5s/bAGhXKg9qavjP2caDllMJXLILi0HtqOA84K16Lbo1ofLSwQRsOMq9NnNIehJI3cPz0TQ3zNfesGEVamybQujBK9xrPYfIs/eotXsWelUrAKCmo4VBbQcCvv2de63n8Gj4BnQr2VB772yVemSdPqH6lkmEHrrG3S9n4dplIeHH/i5SH+dH43GdqTesLRedd3Kg62IyU9L5+m33nK6UCI8gLhVyz3X/eRpGthacGPEdezssICE4it4HndHUkRZLn9OEzlQa0Q63Obu40mkR2SnpND80F7VC9JXv+im1lwzAY8MxLrVbQJxHEC0OzUVq9ubfpvLo9sjzCYGp60ppfnA2KcHRXOm0mGvdlpKVlEaLQ3OQaKgX6xwEpUOZd+bGjx+PRCLh7t279OzZkypVqlCjRg2mT5/O7du3lXYSiYStW7fStWtX9PT0WLFiBQBbt27F0dERLS0tnJyc2Ldvn0r9r8p16NABHR0dKlasyNGjRwvUY2VlpUxGRkZIJBKsrKwwMDCgSpUqnDt3TsX+xIkT6OnpkZiYSEBAABKJhMOHD9O0aVO0tbWpWbMmf/31l0qZx48f06FDB/T19bG0tGTQoEFERUWVtCtVMB/Rndgj54k7eol03+eELPiBnNR0THq1ydc+9aEP4at3EX/6OvKMgp0GNV1tyn83k+B5m8mJT3p/ekcq9MYevUy673OC5/9ITmo6poXoDVu1i/jTNwrUm3j5HonXXMkICCXDP4Tw9fvISUlDt57Te9Fcd0R77m3+A/8LbkR7Pufi1G3oWRpTsV2DAssEXnvI7XVHeXbOpUCbJrN7EXjlAf+sPEzUk0ASAiPwv+hGanRCifR+PrwjFzYf49FFF0I8g9g3/QeMLE2o3bZRgWUeX3bD45o7kQFhRPqH8uf6I6SnpGFfr7LS5trOM1za+gcB9/OPon5oWjRpxOTRQ2j9ebN/rU3r0V2IOHiRyCNXSPV5gf+cn8hJTcei35f524/sTNzV+4Ru/YM032BerDtE8iN/rIZ1UNpkRsapJJN2jUi4+Zj0IEVUJ/7afZ5N20L8Xw9IDwon9sI9Qrf9gWmHT96qt8LYzoTsv0zo4WukeAfjNetnclIzsOnXMn/70R2JuepO0I+nSPEJxn/NERIfPaP88PYAZCem4t77GyJO3iLFL5QEVx+8nXdiWNcRaTkzACTqalT+Zii+y/YRsvciqc9CSfEOJuLkrWL1dV7qj2jP7c1/4HfRjSjP55yZtg19C2MqtS34nvO/9pCb64/iez7/e87EwQqbBpW5NH8XYQ+fEfsslIvzdqGhrUnVbk2Kpa/SqPZ4fn+C0POuxD99zt3JW9GxNMamfcH6qozpgP+BqwQeuU6idzBus3eSnZqOfb/PVeyMathReUwnXKZtf6MOw8o2SE0NeLLuKEl+oSR4B+Ox4RjaFsboljcv1jm8K3K55L2k/ypl2pmLiYnh3LlzTJgwAT09vTeOGxsbq3xesmQJPXr04NGjRwwfPpzjx48zZcoUZsyYwePHjxkzZgzDhg3j6tWrKuUWLlxIz549efDgAQMGDKBv3748ffq0WFr19PTo27cvu3btUsnftWsXX3/9NQYGBsq8WbNmMWPGDO7fv0+TJk3o0qUL0dGK4bG4uDi+/PJL6tWrh4uLC+fOnSM8PJzevXsXS09hSDQ10KlZiaSb7rmZcjlJN93RrVe1RHVbLx1H4tV7JN98UDKReVDq/TtPna/01n8/jhdqahh1boGajjYpbp4lrs7QVoaepTHPbzxW5mUkphLu7odV/cqFlHwLEgn2X9Ylzj+MrvtnM+L+D/Q6uaRQB7EomFWwwMjCBK+bj5R5aYmpBLr7Yl9EvRI1CfW7NEWqIyXALf/h+v8CEk0N9Go7En/jYW6mXE78jYfoN8j/etVvUEXVHoj/636B9prmRhi3akDE4cuFalE30CUrrvCXKommOga1KxJzI/dvj1xOzPVHGDaskm8ZowZViLn+SCUv5uoDDBsWfK1oGOoiz8khK14xxK5f2wFtGzPIkdPo0hqaPfyJOgedldG94mJkK0PfwpjAv1XvuVB3P2wavPs9p66lmK2UlTfyLZeTlZFFuUb5909+6NnK0LE0IfzGE2VeVmIqMff9MCug3ySa6hjXdiAiz3MEuZzwG48xy3NO6jpafPLjBO7P2016ZPwb9ST6hpIek4hDvy+QaKqjpq2JQ//PSfAOJuV5ZJHPoSTI5e8n/Vcp086cr68vcrmcqlWL5mD079+fYcOGUbFiRWxtbVm/fj1Dhw5l/PjxVKlShenTp/PVV1+xfv16lXK9evVi5MiRVKlSheXLl9OwYUM2b95cbL0jR47k/PnzhIaGAhAREcGZM2cYPny4it3EiRPp2bMn1apVY+vWrRgZGfHLL78AsGXLFurVq8fKlSupWrUq9erVY+fOnVy9ehVv7/fzBaluYohEQ52sqDiV/KyoODRkJu9cr1Hnz9Cp6Uj42oKHK96FXL2qc21KqhdA6mRH9ce/UtPrGOVWjCdo7ArSfZ+XqE4AXZkxAClRqtGylMgE9CzyH2orUr3mhmjp69BgfGeCrj3kjwFreHbOlY7bp2Dz6bs74oYv9Sa+9kWQGBmvPFYQ1k4VWPdkD996H6D3ipHsGLOeMN/gd9ZS1tEwNUCioU5mZJxKfmZUHFoF9KWmzJjM1+7HzMh4NC3ytzfv3ZKcpFRiztzO9ziA1N4Kq+Edidh3oVC9mqaGqGmok/Ga3ozIOLQKaF/LwpjM166VjMh4pAXYq0k1cVwwgPDjN8lOSgVAx04xV9VhZi8CvjvGw4GryYxPpt6xxWgYv/ny/jb0CrrnohLQk737PRfjF0rCiyg+m9MHqZEuaprqNB7XGUMbM/QKON/80H5p+7qzlRYZj3YB14XU1AA1DXXSXiuTHpmAdp7nSJ2lA4m+501oPvNrAbKS0/jrq2+w7dmMr/x308N3J5Yt6/D3gLXIs3OKfA4lIUcueS/pv0qZdubyG/svjIYNG6p8fvr0Kc2aqQ6tNGvW7I2oW5MmTd74XNzIHEDjxo2pUaMGe/YonJn9+/djZ2fHZ599VmB7GhoaNGzYUNnegwcPuHr1Kvr6+sr0ypn183tzMnJ6ejoJCQkqKUOeXWztJUXT2hzrRaN4Pm19ocOwHxsZz4Lx7TQF3x4ziN5/lvLrpyGtVPzIQJXuTRnjuUOZ1DQ/zDwUiZriYfbsghvuO84R5RGE64+n8L/sTq2BRV8M1LBbc9Y92aNM6iXQG/EshDUdZ/Nt9/nc3H+RgRsmYFWp3DvXJ3g7Fn2/JOr4DeQFzJPUtDKl2oGFxJy+RcTBS/+yOlUkGurU+HkaEgl4zd6Rm//yWg7YeIzIP++Q+NCfp1N+BDlYdHn78GW17k2Z/HSHMql9oLlfOVnZ/DHme0wcrJj0aDtTvXZSoUl1nl1xh5yCv6MqfNWU7r6/KJPkAz0TrNvWR9asBu6L9hVoo6atScNvRxF1z5srnRZztetSEjxf0GzfTNS0C56vJ/h4KNOrWStXroxEIsHTs2jDXvkNxf7bjBw5kh9++IG5c+eya9cuhg0b9tYVsHlJSkqiS5curFmz5o1j1tbWb+StWrWKpUuXquSNM67MeJOCw//ZsQnIs7LRMDdWydcwNyYrMjb/Qm9Bu2YlNMxNqHRyozJPoqGObuMamA3qzJOqPSDn3d4Ac/WqRuFKovcV8swsMgIVkdS0x37o1q6M2bCuhMz/oVj1+F90I9w919l+NTSja25ISkScMl9XZkjkk3dfPZYak0h2ZhYxPqqRr1ifYKwbFX3I+dElFwLcc+ewaWgpHugGMiMS8kRoDGRGvPAIKLSu7MxsogIV87aeP/bHtrYjnw/vyJF572cVc1kjKyYReVY2mq9FWzTNjd+Ifr0iMzIOzdfuR02ZEZkRb9obNK6GTqXy+Iz9Nt+6NC1NqP7bMhJdvHg2a+tb9WbGJJCTlf1G1FBLZkxGPu0DZETEoflatEtLZkT6a/YSDXVq/jwN7fLm3O+5TBmVA0gPV9gme71Q5skzskgNCke7CPO4fC+6EZpnta26NPeeS857z5kbElHCFZvhjwLY22E+WgY6qGtqkBqTyIA/lhD2sOBFXqHn3bjo9uYzQSozIi2PPm2ZEXFPAvOtIz0mkZysbLRf62upzJC0CEW0zqJ5dfTtLejmpXq/Ndkxlag7nvzVcwW2PZqiW0HGlc5LlGOVd8ZvoZvndmxKOEWjqPyX57u9D8p0ZM7U1JR27drxww8/kJyc/MbxuLi4QstXq1aNmzdvquTdvHmT6tWrq+TlXUjx6nO1atXeSfPAgQMJDAxk06ZNeHh4MGTIkDds8raXlZWFq6ursr369evz5MkT7O3tqVSpkkrKz1l1dnYmPj5eJY00dixUozwzi9THvug3rZObKZGg37QOKfffbb5Y8j8P8Gk/Ad/Ok5Up5aE38X9cw7fz5Hd25PLq1WtW+029bl7vXG++qElQ0yr+m2pmchrxAeHKFOMdTHJ4HBWa11DaaOrrYFnXkTC3d18IkJOZTcSDZ5hUVHXsjStakxhc9EUy6clpRAWGK1OYzwviI2Kp0rSW0kZbXwe7upUIKKZeiZoEDa0y/R5ZIuSZWSQ/9MOouer1ati8Nkmu+V+vSa7eGLWopZJn9FmdfO0t+rUi6YEvKfk42ZpWplQ/upzkR374TdtSpElG8sxsEh8+w6RFTRW9Ji1qkuCS/9SOeFdvTF/Ta/p5bRJccq+VV46cTkUr3HstJytWde5e4oNnZKdloFvJRqWMTgUZaS/ePo8rMzmNuMBwZYr2DiYpIg67Zrn3nJa+DtZ1HQlxfT+LbzISU0mNScTY3hLL2hXf2MIkL1nJaSQHhCtTgncwqeGxWOR5Jmjo62Baz5Fol/z1yTOziXvor1IGiQSL5jWJfnlOnptPcfFLZy61nqdMAA8W7+feVMViCHUdKfKcHNXrIUcOcpCo/TtughhmLRll/on6ww8/0KxZMxo3bsyyZcuoXbs2WVlZXLx4ka1btxY6HDpr1ix69+5NvXr1aN26NadOneLYsWNcuqQ67PDbb7/RsGFDmjdvzoEDB7h7965yDltxMTEx4auvvmLWrFm0bduW8uXLv2Hzww8/ULlyZapVq8Z3331HbGyscl7dhAkT+Pnnn+nXrx+zZ8/G1NQUX19fDh8+zI4dO1BXVw3VS6VSpFLV5fFakreH86N+OUH59dNIfeRD6gNvzIZ1Q01Xm9ijir4pt346WeHRhK9TDBlLNDWUw48STQ00LM3QruZATkoaGYGh5CSnku6t+nYpT0knKy7xjfx3IWrHCcpvmEbqQ1+F3uGqestvmEZmWDTh6/bmq1fTSlUvgOWswST+5UpmcCRq+joYd/0cvU9rETBkcYn1Arj/co6Gk7oT5x9OwvMIPp35NcnhcSr7xnU/5Myzcy483HMRUGyTYGRvqTxuWEGGeXVb0uKSlXvIuf10hvY/TCTkjicvbj3F7vPaOLSux7HeK0qk96+dZ2g3qQeRAaFEP4+g04w+xIfH8vDCPaXNhAMLeHj+Hjf2ngegy+x+eFxzJzYkCqmeNg27NafSp9XZOnilsoyBzAhDmTEyOysArJ1sSU9OJTY4ipT4N1/S3jcpKakEvQhRfg4OCcfT2w8jQwOsrSw+SJuh20/h+P0kkh74knTfB+tRXVDXlRJ5+AoAjhsnkxEWzfNVBxT2O05T/fflWI/pSuxlV8y7NUevtiPPZm1TqVddXwfTLk0JXLr7jTYVjtwyMoIjCVy2B808W1e8Pn/vdZ5vO021TRNIdH9Gwn1fKozuiLqulJDD1wCotnkC6WExPFtxSGG//Qz1TyyhwtjORF9yw7J7MwzqOOI5U+E8SDTUqfnLdAxqOfBw4BokampovYwuZcYlIc/MJjsplZC9F3GY1Zv04GjSXkRiO6ErABEnC54LWBhuv5zj08ndiQ0IJz4ogmYzvyYpIk7F6ep1yBnfcy7cz3PPGee554wqyJC9vOcSX95zVTo1JjU6kYSQKMydKvDlkkH4nnchMO/ChCLg+/M5qk3tTpJ/GMlBkdSY8zWp4XEq+8F99qszwWdd8Nul0Of901kabRxD7AN/Ytz9qDyqPRq6UgIOK3ZBSI+Mz3fRQ0pwlHJxQ8T1R9Re2I96q4biu/MCEokEp0ldycnKJvKmR7HOQVA6lHlnrmLFiri5ubFixQpmzJhBaGgoMpmMBg0asHVr4UMI3bt3Z+PGjaxfv54pU6bg4ODArl27+OKLL1Tsli5dyuHDhxk/fjzW1tYcOnTojehdcRgxYgQHDx58Y+HDK1avXs3q1atxd3enUqVKnDx5EnNzxbCCjY0NN2/eZM6cObRt25b09HTs7Oxo3749au/xDSrhzxuEmRphMW0gGuYmpD19RsDQRWS/nIStZSNTiaZpWJhS6c/cRSGy0T2Rje5J8u1H+Pd3fm+6CiL+z7/RMDPCcvoApV7/oYuVizg0bWQq81c0LEypfGZTHr1fIRv9FUm3H+HfT/HmqmFmRIUN09CQmZKTmEyaZwABQxaT9Lf7e9HstvU0mrpSWq4ejtRQsWnwyUFrVfaDM7KzQNs0d6WzRe2KfPXbfOXnFosHAvD0t+tcmq74onx2zoWr83bScEJXPls2mFi/UM6M2UjovZItkLm07SRaOlL6rhqNjqEuz+55sXXIKpVVfOZ2lujn0atvZsjAb8djJDMhNTGFEM8gtg5eidffuSsdmw9oQ4epvZSfp/6mmBawf+aP3D2qui3Ph+Cxpw/DJ81Rfl67WdGP3Tq0ZsWCGR+kzeiTN9EwM6TCrH6KTYOf+OM5YDmZUYovXWk5c5X7K8nFC98J31FhTn8qzB1Amn8o3sPXkOqlOjxo1q05SCREn3hzLzbjz+qgU9EGnYo2NHDboXLsts1XheqN+OMWmmaGVJzdGy0LYxKfBPCg30rlIgftcuYq91eCizdPxm2i4ty+OM7rR4p/KI+GriPZU7F4SGptiqy9YkubxldVNwB267GEuH8UDoTv0v3Is3Ko/sNE1LS1SHDz5X7PZWS9o5N/d+tpNHWktF2luOeCXbz5/bV7ztjWAp0817BV7Yr0+TX3nmv58p57/Nt1zs1QXCt6FsZ8sXAAeuZGJEfE8eT3v7m16Xix9Xn9cBp1XSkN1o1A01CXqLve/N1/DTl59OnZWyLNo+/FydtIzQyoPvtrxabBTwL5u/8a0qOKvhVRom8oN4dsoPqMr2h5agnkyIl7HMDf/deqDPl+SP7DC1HfCxJ5cVcR/MeQSCQcP36c7t27v7c69+3bx7Rp0wgJCUFLS0uZHxAQgIODA/fv36du3brvrb3XeVyx8wer+0NQFudSXMt699VxpYGPetlZlAKwwWVVaUsoFq61y8Zm4a9IyS5b7/luUq23G31E2GeWra/dr0MPfPA2/rHu+V7qaRr6+3upp6xRtu7YMk5KSgqhoaGsXr2aMWPGqDhyAoFAIBAIBO9CmV4AUdZYu3YtVatWxcrKCmfnDz/0KBAIBAJBWUD8AkTJEJG5t/A+R6GXLFnCkiVLCjxub2//XtsTCAQCgaAs8O9sTfz/i4jMCQQCgUAgEJRhRGROIBAIBAJBqSLnvztE+j4QzpxAIBAIBIJSpZBfPhMUAeHMCQQCgUAgKFVyRGSuRIg5cwKBQCAQCARlGBGZEwgEAoFAUKqIOXMlQ0TmBAKBQCAQlCo57ym9Cz/88AP29vZoa2vzySefcPfu3ULtf/vtN6pWrYq2tja1atXizJkzKsflcjmLFi3C2toaHR0dWrdujY+PzzuqKxrCmRMIBAKBQPCf5MiRI0yfPp3Fixfj5uZGnTp1aNeuHREREfna//PPP/Tr148RI0Zw//59unfvTvfu3Xn8+LHSZu3atWzatIlt27Zx584d9PT0aNeuHWlpaR/sPIQzJxAIBAKBoFSRI3kvqbh8++23jBo1imHDhlG9enW2bduGrq4uO3fuzNd+48aNtG/fnlmzZlGtWjWWL19O/fr12bJli+I85HK+//57FixYQLdu3ahduzZ79+4lJCSEEydOlKSLCkU4cwKBQCAQCEqV9zXMmp6eTkJCgkpKT0/Pt82MjAxcXV1p3bq1Mk9NTY3WrVtz69atfMvcunVLxR6gXbt2Snt/f3/CwsJUbIyMjPjkk08KrPN9IJw5gUAgEAgE/xesWrUKIyMjlbRq1ap8baOiosjOzsbS0lIl39LSkrCwsHzLhIWFFWr/6t/i1Pk+EKtZBQKBQCAQlCrv67dZnZ2dmT59ukqeVCp9T7V/vAhn7j+Ib4phaUsoFpmSsrdk3aiMxbwro1naEoqFa+2ZpS2hWDR4uL60JRSLDvXGlbaEYuGdFFLaEoqF12+TSlvCR8f72ppEKpUW2XkzNzdHXV2d8PBwlfzw8HCsrKzyLWNlZVWo/at/w8PDsba2VrGpW7duUU+j2JSxrxyBQCAQCASCkqOlpUWDBg24fPmyMi8nJ4fLly/TpEmTfMs0adJExR7g4sWLSnsHBwesrKxUbBISErhz506Bdb4PRGROIBAIBAJBqZJTSgMw06dPZ8iQITRs2JDGjRvz/fffk5yczLBhwwAYPHgw5cqVU867mzJlCp9//jkbNmygU6dOHD58GBcXF7Zv3w6ARCJh6tSpfPPNN1SuXBkHBwcWLlyIjY0N3bt3/2DnIZw5gUAgEAgEpUpp/TZrnz59iIyMZNGiRYSFhVG3bl3OnTunXMAQFBSEmlruIGbTpk05ePAgCxYsYN68eVSuXJkTJ05Qs2ZNpc3s2bNJTk5m9OjRxMXF0bx5c86dO4e2tvYHOw+JXC6Xf7DaBR8lJ6z6l7aEYlEW58ylqpUtzfFlbMJFo+yU0pZQLMScuQ+Ld7KYM/ch0Wk1+oO38b6+l7qHHXwv9ZQ1ytgjXCAQCAQCgUCQFzHMKhAIBAKBoFR5X1uT/FcRzpxAIBAIBIJSJacMTqf5mBDDrAKBQCAQCARlGBGZEwgEAoFAUKqIlZglQzhzAoFAIBAIShUxZ65kiGFWgUAgEAgEgjKMiMwJBAKBQCAoVUrrFyD+XxDOnEAgEAgEglKltH4B4v8FMcz6kt27d2NsbFzaMgQCgUAgEAiKxX8iMjd06FD27NnDqlWrmDt3rjL/xIkT9OjRA7lcTp8+fejYsaPy2JIlSzhx4gTu7u6loLj0qDr7a+wHtETTUI/oe948mLOTZP+wQss4DGtD5fGdkcqMiPcI4uH8PcTd91Mer7N2BBaf1UTb0oSslDRi7nnz5JvDJPm++RM8mib6fHl5FTo2ZvxZZSSZCYX/bFONWT1xGNASLUM9ou554zZ3J0n+4YWWcRzaBqfxndCWGRHnEcT9+XuIdX+mYmPaoBK15vbGtL4j8mw5cU8Cud5vNTlpmYp+mtIN61Z1Ma5pR05GFn9ULdrP3dSZ2ZPK/VuiZahLpIs3t513kfgWvU5DWlNjXCd0ZEbEeARxd+FeovPo1bezoOHC/lg0roKaliYh1x5yd8Ee0qISVOop16outad2x6SaLdnpmYTffsq1Ed8XSfcrPpnRkxr9WiI10iX0njdX5+0iPqBg/TafOFF/TCdktR3QtzThz5Hf8ey86xt2JpVsaDqvL+U+qYqahhoxPiGcGb2RpJDoImuzHNoem3Hd0ZQZk+IRgP+CHSS7+xZob9q5CRVm90Na3oI0/1CCVuwj7oqb8vinIcfyLRe4fA+hW/9AWl5GuWm9MGxWCy2ZMRnhsUQd+4vgjb8jz8wqsu7i4uL+iF0Hj+Lh6UtkdAwbVy2k1WdNP1h7xWXIjMF07NcefSN9ntzzYOO8TQQHFPxzW4OnDWTw9EEqeUG+zxnecuQH0TfdeQL9B/XE0MgAlzvuzJu5nIBnQYWWsbS2wHnxNFq2bo6OjjYB/s+ZOXEBD909ADCXmeG8eBqftWyCoZEBd265smjOqrfW+zYO/3WfPRddiE5Ipkp5GXN6f0kte+t8bUd8dwRXnxdv5Dev4cCWCV8BUHf8hnzLTu3xGUPbNCqR1pIiVrOWjP9MZE5bW5s1a9YQGxub73EdHR0sLCyKXW9mZmZJpX00VJ7YBccR7XCfvZO/Oi4kOyWNpofnoibVLLBMuW6fUnPJQDw3HONa2/kkPAmi6aG5aJkbKm3iHvrjNvUnLn82k3/6rgaJhKaH50I+v19a/9vRxD99XiS9ThM6U2lEO9zm7OJyp0VkpaTT4lDhest3/ZQ6SwbgseEYF9stIN4jiM8OzUVqlqvXtEElPjs4h7C/HnG5wyIudViI784LkJP7uFHT1ODF6Tv47blcJK0ANcZ3ptrwttyZu5MzXRaTlZJO6wNzCtVr3/UTGi4ewINvj3O6/QJiPYJofWAO2i/1auhIaXNwDnK5nAu9V3Ku+1LUNNX5cvcMyLMJp23HRjTfOBa/X69zqu08znVfiv+JW0XWDlB/XGfqDGvL1Xk7+bXLYjJT0+m2fw7qhejX1JES9TSIvxbsKdDG0M6CnscWEusbwrHeKzjYdh73Np4gO73o95ZZ12bYLR7Gi29/5VG7mSR7BFDt4CI0zIzytddv6ETlH6cTcegyD9vOIObcXarsnIOOk63SxrXOcJXkN20L8pwcYv68DYB2pfKgpob/nG08aDmVwCW7sBjUjgrOA4qs+11ITU3DqVJF5s8Y/0HbeRf6jOtNj2Hd2DhvMxO7TCEtNY3V+1eiWcg1AuDvFUCv+n2VaepX0z+IvnGThzNsdH+cZyyna5sBpKSksv/oT0ilWgWWMTIy5NjZvWRlZTG49zhaNenO8oXriI/LfVn6ef9GbO3LM2LgZDp80Zvg56EcPP4zOro676z1vIsnG37/izGdmnDIeRBVyskYv/l3YhLzf8H9dnRXLq0aq0xHFwxBXU1Cm/pVlDZ5j19aNZYlg9ohkUDrepXfWef7IkfyftJ/lf+MM9e6dWusrKxYtWpVvsfzDrPu3r2bpUuX8uDBAyQSCRKJhN27dwMgkUjYunUrXbt2RU9PjxUrVgCwdetWHB0d0dLSwsnJiX379qnU7+npSfPmzdHW1qZ69epcunQJiUTCiRMnlDbPnz+nd+/eGBsbY2pqSrdu3QgICFAeHzp0KN27d2f9+vVYW1tjZmbGhAkT3ptD6TiqPV7fnyDsvCsJT5/jOmkr2pbGWLdvWHCZMR0JPHCVoMN/kegdjPvsX8hOTceu7+dKm8D9V4i+7UnK8yjiHwXwdPWv6JY3R7eCTKUu+yGt0TTSxffH00XSW3lUe55+f4KQ867EP33O3clb0bE0plz7BgWWqTKmA/4HrhJw5DqJ3sG4zt5Jdmo69v1y9dZdOgifX87jteUUCd7BJPmF8uLUHXIycqMtHut/x2f7uSI7ngDVRrbn4cY/eH7Bjbinz/l7yjZ0LY2xbVew3mqjOuBz8Cp+v14n3ieE23N3kZ2aTqWX/StrVBm9CjL+mbadOM8XxHm+4ObUnzCr44B18+oASNTVaLRsEK7fHMJ73xUSn4UR7xNC4Kk7RdYOUHdEe+5t/gP/C25Eez7n4tRt6FkaU7EQ/YHXHnJ73VGenXMp0KbJ7F4EXnnAPysPE/UkkITACPwvupEanVBgmdexHt2FiIMXiTxyhVSfF/jP+Ymc1HQs+n2Zv/3IzsRdvU/o1j9I8w3mxbpDJD/yx2pYB6VNZmScSjJp14iEm49JD1JEIuOv3efZtC3E//WA9KBwYi/cI3TbH5h2+KTIut+FFk0aMXn0EFp/3uyDtvMufDWiOwc2H+KfC7fw9/RnzdS1mFma0axd4ZHD7KxsYiNjlSkhtuh/++IwYuxANm/YzsWzV/H08GbauHlYWMlo2yn/6wRg3JThhAaHMXPiQh64PeZ5UDA3rt4iMEARBXNwtKNBozrMn7mch/ef8Mw3gHkzlqOtLaVbzw4F1vs29l1x5atmtejepCaO1mYs6NcGbS1NTvzzKF97Iz0dzI30lOm2ZyDaWpq0re+ktMl73NxIj2sPfGlUxZby5sbvrPN9kfOe0n+V/4wzp66uzsqVK9m8eTMvXrwZis5Lnz59mDFjBjVq1CA0NJTQ0FD69OmjPL5kyRJ69OjBo0ePGD58OMePH2fKlCnMmDGDx48fM2bMGIYNG8bVq1cByM7Opnv37ujq6nLnzh22b9/O/PnzVdrMzMykXbt2GBgYcOPGDW7evIm+vj7t27cnIyNDaXf16lX8/Py4evUqe/bsYffu3UpHsyTo2lqgbWlC5PXHyrysxFRi7/th2jD/tzaJpjrGtR1UyiCXE3njcYFl1HWl2Pb9nOTACFLzDKEZVClH1ek9cJ20FeRvD7jr2crQsTQh/MYTFb0x9/0wK0SvSW0Hwm+o6g2/8RizBooyUjNDzBpUIj0qgZYnF9Pl4Y98cWwBZo2r5FtnUdG3laFraUzo37ltZyamEnnfD1mD/PWqaapjVtuB0DzniFxO6N9PkDWoBKCIisnlZGfkOvTZ6ZnIc+RYNFI8xE1r2aNnbYo8R07n89/wtdsWWu2bhbFT+SLrN7SVoWdpzPM8fZeRmEq4ux9W9UvwVi+RYP9lXeL8w+i6fzYj7v9Ar5NLCnUQ36hCUwO92o7E33iYmymXE3/jIfoNnPIto9+giqo9EP/X/QLtNc2NMG7VgIjDhUdi1Q10yYpLKrL2/yesba0wszTD7UbuUHVyYgpP3T2pXr9aoWXLOZTjsMtB9v29G+dNc7CwkRVq/y7Y2pXHwkrG39duK/MSE5Nwd31Eg0Z1CizXpsMXPHT3YOuuDbh5XePMtV/pN7in8riWliKql56WrsyTy+VkZGTS6JP676Q1Myubp0HhfJInUqymJuGTqrY89A8tUh0n/nlMuwZO6BQQFY1OSObvx/50b1rznTQKPi7+M84cQI8ePahbty6LFy8u1E5HRwd9fX00NDSwsrLCysoKHZ3ccHn//v0ZNmwYFStWxNbWlvXr1zN06FDGjx9PlSpVmD59Ol999RXr168H4OLFi/j5+bF3717q1KlD8+bNlRG9Vxw5coScnBx27NhBrVq1qFatGrt27SIoKIhr164p7UxMTNiyZQtVq1alc+fOdOrUicuXiz7UVxDaForhqLTIeJX89Mh4pBb5D1VJTQ1Q01AvoIyxSp7D0NZ09ttJl2e7sPyyLjd7r0SemQ2AmpYGDbdO5PGyg6QGF22OlPbL+tNfazstMh5tmfGbBQrRmxaZoDx/PTvFUHv1GV/hf+AqN/qvIfZRAJ//Og99B8siacsPnZd60yJVIw5pUQnovKV/U6NU9aZGxqMtU5SJdPUlKyWd+vP7oq6thYaOlIYL+6OmoY6OpaJNA1vFOdWZ8RUPN/7BlSHryYhPpu3R+WgZ6xVJv+7LPk15bR5eSmQCegXoL1K95oZo6evQYHxngq495I8Ba3h2zpWO26dg82nVItWhYWqAREOdzMg4lfzMqDi0CrgWNGXGZEa9Zh8Zj6ZF/vbmvVuSk5RKzJnb+R4HkNpbYTW8IxH7LhRJ9/8bJjJTAGJf69e4yDhMLUwLLPf0vifrpq/HeeB8Ns7fjFUFK777fQM6eu8+RJkfMkszAKIiVZ8xUZHRyCzMCyxXwa48A4f1xt8vkEFfj2X/rl9ZumouX/ftCoCfjz8vnocwZ9FUjIwM0dTUYNzk4diUs8LCquB6CyM2KZXsHDlmhqr3p5mBLlEJyW8t/yggFN+QKHo0q1WgzcnbT9DV1qJV3dIfYgXFnLn3kf6r/KecOYA1a9awZ88enj59+s51NGyoOuz49OlTmjVTHfJo1qyZsg0vLy8qVKiAlZWV8njjxo1V7B88eICvry8GBgbo6+ujr6+PqakpaWlp+PnlLiaoUaMG6urqys/W1tZEREQUqDU9PZ2EhASVlCnPpvxXzejst1OZJJrqBdbxPnj++02utp7Hje7LSHoWSuPtU5RzxarP60uiTwgvfr9ZYHnbr5rSw/cXZfpQeiUv5/E923+FgCPXiXscyIPF+0n0C8W+3xdFrsehR1P6ee9QJjWND6M3PSaRv8ZsokLrevT32UFfz+1oGukS/dAfeY5i0OHVOT3a9AdBZ+4R8yiAm9O3g1yOXef8hwSrdG/KGM8dyqT2ofv7ghvuO84R5RGE64+n8L/sTq2BrT5Im++CRd8viTp+A3kB8/g0rUypdmAhMadvEXHw0r+srnT4sntLTnmeUCaNd7xG7l1z4fqfN/D39MflL1fmDVmAvqE+n3f+rET6un/diadBd5RJQ6PweXsFoaamxuOHT1n7zSaePPLk4J6jHNr7OwOG9QYgKyuLMYOn4eBoxyP/m3gF36NJi0ZcuXiDnJzScS9O/POYyjbmBS6WAPjj1mM6NqqKVPPjWAcp5syVjI/jr/gv8tlnn9GuXTucnZ0ZOnToO9Whp1e0aEZxSEpKokGDBhw4cOCNYzJZ7pCDpqbqA0kikZCTU/BMgVWrVrF06VKVvD56NRl4Xo+rbrkr/dSkiktBW2ZEekScMl8qMyL+cWC+dafHJJKTla2MEuUtk7cOUAyBZiWmkuwfRoyrD528fsa6Q0OCT9xC1rw6htVssencWHlOAB08fsJ74wkerT9GyHk3ot1ynVp1LQ1lW2l52tKWGRH3pHh6tWWGpEUool+p4Yq6EryDVWwSfULQLWeWb7358fyCG1F5VvSqab3qX0NS8+o1NyT2Sf4r3l7p1TFX1asjM1KJLoZef8zxZjOQmuiTk51DZkIKve5vISkwEoCUl+3F5zmnnIwsEgMj0CvgnPwvuhHu/mZ/65obKusD0JUZElmA/qKQGpNIdmYWMT6q/R3rE4x1o/yHPF8nKyYReVY2mq9F4TTNjcl4LVr3iszIODRfmyekKTMiM+JNe4PG1dCpVB6fsd/mW5empQnVf1tGoosXz2ZtLZLm/wduXbyNp7uX8rOmluLZZGJuTExEjDLfWGaM3xO/N8oXRHJCMi/8X1DO3qZE+i6eu8p919yh9FeLHMxlZkSERynzzWVmeDz2LLCeiPBIfLxU9ft4P6NDl9bKz48eeNDh814YGOijqaVJTHQsf1w8wMP7Hu+k3URfB3U1CdGvReGiE1MwNyz8+yc1PZPzLp6M61zwnEo33xcEhMeyZkTnd9In+Pj4z0XmAFavXs2pU6e4davg1XxaWlpkZ2cXqb5q1apx86ZqVOnmzZtUr66YgO7k5MTz588JD8/dwuHevXsq9vXr18fHxwcLCwsqVaqkkoyM3n0Yy9nZmfj4eJXUU686WclpJAeEK1OiVzBp4bHIWtRQltXQ18GkniMxLj751i3PzCbuob9KGSQSZM1rFFhGYSIBJMpVkHdGfM+VVnO52tqZq62duT/jZwBudFvGs10XAd7Qm+AdTGp4LJbNVfWa1nMkuhC9sQ/9sWiuqteieU2iXRVlUp5Hkhoag4Gj6hutfkUrUl5EUVSyktNIDAhXpnjvYFLC47DO07amvg6yeo5EuuavNyczm+iH/iplkEiwal6DSNc3t9xIj00iMyEFq2bV0TY35PlFxdylmIcBZKdlYJjnnCQa6uhXkJFcwDllJqcRHxCuTDHewSSHx1HhNf2WdR0Jcyv4b/02cjKziXjwDJOKqv1tXNGaxOCi9bc8M4vkh34YNa+dmymRYNi8NkmuXvmWSXL1xqiF6hCU0Wd18rW36NeKpAe+pHgEvHFM08qU6keXk/zID79pW4o03/P/hdTkVEICQpQp0DuQ6PBo6jWvp7TR1delWt2qeLgVfSREW1cbazsbovM4hO9CclIKgf7Plcnb04+IsEiafZ4bjdY30KNug1q43ntQYD0ud9xxrGSvklexkj0vXrw5dy0xMYmY6FjsK9pSu24NLpy98k7aNTXUqWZryV2v3BelnBw5d72CqO1QcLQN4IKbFxlZ2XRqXPA8xeP/PKa6rSVO5Yu/g8OHQiyAKBn/ucgcQK1atRgwYACbNm0q0Mbe3h5/f3/c3d0pX748BgYGSKXSfG1nzZpF7969qVevHq1bt+bUqVMcO3aMS5cUwy1t2rTB0dGRIUOGsHbtWhITE1mwYAGQG4UaMGAA69ato1u3bixbtozy5csTGBjIsWPHmD17NuXLF32yel6kUukbujUl+Q+H+P18jipTe5D0LIyUoEiqzelFWngcoXlWIjb7bR4hZ13w36mYF+T30xnqbxxL7INnxN73w3FUB9R1tQk6/BegWFhRrtunRPz1iIzoBHSsTak8qSs5aRmEXXYHICVQdZhYamoAQJJPsGKfOUn+sXOfn89RbWp3Ev3DSA6KpOacr0kNjyP4XO4+Zp/96kzwWRf8XjqF3j+dpfHGMcQ+8CfG3Y/Ko9qjoSsl4KVeAK+tf1JjZk/ingQR9yQQ+94tMKxkw61RG5U2OuXM0DLWR7ecGRJ1NYxq2Ck0+4eRnZI7ETovT3eco9bk7iQ8CyfpeQR1Z31NSngcQXn2XWtzxJmgsy547VboffrzWZp9N4aoh/5E3/ej2qj2aOhI8T2Sq9ex92fE+waTFp2IrEFlGi8biMfP50jwU3zZZCal4rX/CnVm9iQ5JJrk4GhqjO0EQODpoq9odf/lHA0ndSfOP5yE5xF8OvNrksPjVPaN637ImWfnXHi4R6FfU1eKkX3uXEPDCjLMq9uSFpes3EPO7acztP9hIiF3PHlx6yl2n9fGoXU9jvVWnVdaGKHbT+H4/SSSHviSdN8H61FdUNeVEnlY8WXquHEyGWHRPF+liHyH7jhN9d+XYz2mK7GXXTHv1hy92o48m7VNpV51fR1MuzQlcOnuN9pUOHLLyAiOJHDZHjTzbG/z+vy990lKSipBL3L3bQsOCcfT2w8jQwOsrUr3y/nYLycYMKkfwf7BhD0PY+jMIUSHR3Pz/D9Km7WHVnPz3D/8seckAKMXjOL2pduEv4jAzNKMIdMHkZOdzdU/rr13fb9s28/kGWMI8AsiKDCYmfMmEhEWyYU/c52uQ8d/5tyfV9iz4xAAO7bu5fi5fUyYNpLTJ85Tt34t+g/uydxpy5RlOnVrS3RUDCEvwnCqXpklq+Zw/swVblwt3vY/eRn0ZQMW7j1HdTsratpZceCqG6npmXRroliwsGD3WSyM9ZncvYVKuRP/PKZlnUoY6+c/5zApNZ2Lbl7M+OqLd9b2IfgvO2Lvg/+kMwewbNkyjhw5UuDxnj17cuzYMVq2bElcXBy7du0qcFi2e/fubNy4kfXr1zNlyhQcHBzYtWsXX3zxBaBYSXvixAlGjhxJo0aNqFixIuvWraNLly5oa2sDoKury/Xr15kzZw5fffUViYmJlCtXjlatWmFoaJhvu+8bny2nUNeVUnf9SDQNdYm+680//VaTk2eekJ69pdLZAgj+4zZaZoZUm/01Upkx8U8CudVvNekvJ8rnpGdg9mlVHEd3QMtIj7TIeKJve3K9yxIyokq2/YDXD6fR0JXScN0INA11ibrrzY3+a1T06r+m98XJ20jNDKgx+2vlkOyN/muUekHhJKpJNam7dCBaJnrEPQnir76rSM7jdNac9TX2fXLn9LS9tBKAa199Q+St/KMQT35U6G2ydjhahrpE3PPm0sC1KnoN7CzQzqM34OQdpKaG1J3ZU7Fp8JNALg9cq7IhsJGjNfWde6NlrE/yi0gebjrJ0+1nVdp2XX4IeVY2zTeNQ11bi6j7vlzovZKM+MI3Zc6L29bTaOpKabl6OFJDxabBJwetVdkPzug1/Ra1K/LVb7krt1ssHgjA09+uc2n6dgCenXPh6rydNJzQlc+WDSbWL5QzYzYSes+7yNqiT95Ew8yQCrP6KTYNfuKP54DlZL5cPCItZw55piMkuXjhO+E7KszpT4W5A0jzD8V7+BpSvVSHjM26NQeJhOgTf7/RpvFnddCpaINORRsauO1QOXbb5qsiay8ujz19GD5pjvLz2s2KfuzWoTUrFsz4YO0WhSNbf0VbV5tpq6egb6jP43tPmDtoPpl5rhEbO2uMTHOfaTJrc+ZtccbQ2ID4mHge33vCpG5TiY+Jz6+JErF100509HRY9d1ixabBt+8zqNdY0tNzdwywdaiAqZmx8vPD+08YPWgqcxZNZcqssTwPCmbp/LWcOPqn0sbC0pyF38x6OYQbye9HTrFpneqLQXFp17AqsUmpbD19k6iEFJzKy/hxYk/loojQ2ATlnNNXBITHcN8vmK2TeuZXJQDnXL1ADu0bFW2BkaBsIJHL/0PjAh8RN2/epHnz5vj6+uLo6Pivtn3Cqv+/2l5JySwgMvcxk5rPhsgfM/FlbMJFo+yiO6EfAw0eri9tCcWiQ71xpS2hWHgnF/wLEx8jXr9NKm0JxUKnVdF+4aYkbKsw8L3UM/b5/vdST1njPxuZ+7c5fvw4+vr6VK5cGV9fX6ZMmUKzZs3+dUdOIBAIBIKPDTHMWjKEM/cvkZiYyJw5cwgKCsLc3JzWrVuzYUP+v5MnEAgEAsF/CeHMlQzhzP1LDB48mMGDB5e2DIFAIBAIBP9nCGdOIBAIBAJBqSIm75cM4cwJBAKBQCAoVf7Lv97wPihja9gEAoFAIBAIBHkRkTmBQCAQCASlilgAUTKEMycQCAQCgaBUEc5cyRDDrAKBQCAQCARlGBGZEwgEAoFAUKqI1awlQzhzAoFAIBAIShWxmrVkiGFWgUAgEAgEgjKMiMwJBAKBQCAoVcQCiJIhnDmBQCAQCASlipgzVzKEMycQCAQCgaBUyRHuXIkQztx/EPUydtNo55S9ALxZGdNcSS27tCUUi5ScsvXo6lBvXGlLKBZn728tbQnF4kHd6aUtoVgYdFha2hKKRVbG6NKWIHgLZeuJKBAIBAKB4P+OsvX6+/EhnDmBQCAQCASlStkaL/r4EFuTCAQCgUAgELyFmJgYBgwYgKGhIcbGxowYMYKkpKRC7SdNmoSTkxM6OjrY2toyefJk4uPjVewkEskb6fDhw8XSJiJzAoFAIBAISpWyMMw6YMAAQkNDuXjxIpmZmQwbNozRo0dz8ODBfO1DQkIICQlh/fr1VK9encDAQMaOHUtISAhHjx5Vsd21axft27dXfjY2Ni6WNuHMCQQCgUAgKFU+9l+AePr0KefOnePevXs0bNgQgM2bN9OxY0fWr1+PjY3NG2Vq1qzJ77//rvzs6OjIihUrGDhwIFlZWWho5LpgxsbGWFlZvbM+McwqEAgEAoHg/4L09HQSEhJUUnp6eonrvXXrFsbGxkpHDqB169aoqalx586dItcTHx+PoaGhiiMHMGHCBMzNzWncuDE7d+5ELi/eLELhzAkEAoFAIChVcpC/l7Rq1SqMjIxU0qpVq0qsLywsDAsLC5U8DQ0NTE1NCQsLK1IdUVFRLF++nNGjVbd6WbZsGb/++isXL16kZ8+ejB8/ns2bNxdLnxhmFQgEAoFAUKq8r9Wszs7OTJ+uuu+gVCot0H7u3LmsWbOm0DqfPn1aYl0JCQl06tSJ6tWrs2TJEpVjCxcuVP5/vXr1SE5OZt26dUyePLnI9QtnTiAQCAQCwf8FUqm0UOftdWbMmMHQoUMLtalYsSJWVlZERESo5GdlZRETE/PWuW6JiYm0b98eAwMDjh8/jqamZqH2n3zyCcuXLyc9Pb3I5yKcOYFAIBAIBKVKaa1mlclkyGSyt9o1adKEuLg4XF1dadCgAQBXrlwhJyeHTz75pMByCQkJtGvXDqlUysmTJ9HW1n5rW+7u7piYmBTLKRXOnEAgEAgEglLlY/9t1mrVqtG+fXtGjRrFtm3byMzMZOLEifTt21e5kjU4OJhWrVqxd+9eGjduTEJCAm3btiUlJYX9+/crF2SAwolUV1fn1KlThIeH8+mnn6Ktrc3FixdZuXIlM2fOLJY+4cwJBAKBQCAoVT5uV07BgQMHmDhxIq1atUJNTY2ePXuyadMm5fHMzEy8vLxISUkBwM3NTbnStVKlSip1+fv7Y29vj6amJj/88APTpk1DLpdTqVIlvv32W0aNGlUsbcKZEwgEAoFAIHgLpqamBW4QDGBvb6+ypcgXX3zx1i1G2rdvr7JZ8Lsitib5l5BIJJw4caK0ZQgEAoFA8NGR857Sf5UyG5kbOnQoe/bsAUBTUxNbW1sGDx7MvHnz3tiM73V2797N1KlTiYuL+xeUKggNDcXExORfa+9dcZr9NbYDvkTTUI+Ye148mrOTZP/C99CxH9YGx/FdkMqMSPAI4vH83cTd9wNA01gPp1m9kH1eC51y5mREJxB6zgWvNb+SlZiqsDHRp/4PEzGsboumiT4ZUQmEnXfBc+URspJSVdqqNLsX5Qcq9MXe88Jj9i+kvEWf7bC2OIzvgpaFEYkeQTydt4v4l/oA1KSaOC0ZiHX3pqhJNYm6+gCPuTvJiIxX6qv940QMqtuiZWJAelQCEedc8F55mOw8+qx7NsNhQlf0HKzISkwh+oo7vkv3kRWr+O2+csPaYTu+C1oWxiR5BOI9byeJeXS8jqzLp1Sc0wftCjJS/cPwW36A6Mv3AZBoqFNxbl/MWtdDx86CrIQUYq4/wu+bg2SExyrr0KloTaXFAzFq5ISalgZJHkE8W3OEuJtPCu0zAKuh7bEZ3w0tmTHJHgH4z/+FJHffAu3NOjehwpx+aJeXkeofSuA3+4m74qZio1O5HHbzB2HYpDoSDXVSvV/gOXIdGcFRANT4fSlGTWuqlAnbe55nc7a/VW9p9C+AWet62M/4Gv1qduSkZxB36ymPhq57q96iMmTGYDr2a4++kT5P7nmwcd4mggNCCrQfPG0gg6cPUskL8n3O8JYj35um4uDi/ohdB4/i4elLZHQMG1ctpNVnTT94u7IhHbAa2wNNmTEpTwN4vvBnkt19CrQ36dQUm1n9kZa3IC0glOCVe4m/4qo8rqarTfl5gzBu9wkaJgakB0UQsfM0kfvPK22kdlaUXzgU/UbVUNPSJP7afYIWbicrKj6/JovEksUzGTG8P8bGhvzzjwsTJjnj6+tfoL2amhqLF82gf7+vsLKSERISzt59v7Fi5feAYm+05ctm0779l1R0sCM+PoHLV/5m3vyVhIaGv7POkvKxz5n72CnTkbn27dsTGhqKj48PM2bMYMmSJaxb9/4eou8TKyurYq1MKQ0cJ3bBYUR7Hs7+hRsdF5Kdks4nh+eiJi14GbVNt0+pvmQQ3ht+53rbeSQ8CeSTQ3PRMjcEQNvKBG1LYzyWHuDaF7O4P2UbFi3rUOe7MbmV5MgJO+/C3SHrudpsOu5TtiJrUZNaa0eotOUwsSt2I9vjMXsHtzouIDslnYZHnAvVZ9WtCVWXDsJ3w1H+aeNM4pNAGh52VuoDqLpsMBZtG+A+6nvudl+KtpUJ9Xbm7lMkz5ETcc4Vt8Hrud50Go+mbMXss5rUWJf75WjcqAq1N08g+OBV/v58Jo9HfothPUeqblCcp0W3JlReOpiADUe512YOSU8CqXt4Ppp5dOTFsGEVamybQujBK9xrPYfIs/eotXsWelUrAKCmo4VBbQcCvv2de63n8Gj4BnQr2VB772yVeursn4NEXZ37Xy/jXpu5JD0JpM7+OWjJjArsMwCzrk2xXzKUFxt+5UG7WSR7BFL90EI0zfLXa9DQiSpbpxFx8DIP2s4k5txdqu6aja5TBaWN1M6SmidWkOobzJOei3H/cjrPv/sNeVqGSl1h+y9yr/YIZQpcvq9QraXZv7JOn1B9yyRCD13j7pezcO2ykPBjf79Vb1HpM643PYZ1Y+O8zUzsMoW01DRW71+JZiHXPIC/VwC96vdVpqlfTS/U/kOSmpqGU6WKzJ8x/l9r06RLMyosGk7Id4fx6DCdVI8AKu9fjIZZ/te9XgMnKv4wg6jDl/BoP524c3dw3DEXbSdbpU2FxcMx/KI+/pO/5/EXkwj/5RS234zGqE0jANR0pFQ+sATkcrz7LMKzhzMSTQ0q754Pknf7rapZM8czccJwxk+cS9PmXUhOSeHM6QOFfpfMnjWBMaMHM2XqAmrW/gLn+SuZOWMcEycMB0BXV4d6dWuxYuVGGn3Snl69R+FUpSLHj+16J42Cj4My7cxJpVKsrKyws7Nj3LhxtG7dmpMnTxIbG8vgwYMxMTFBV1eXDh064OOjeCO7du0aw4YNIz4+HolEgkQiUW7gt2/fPho2bIiBgQFWVlb0799fZV+Z2NhYBgwYgEwmQ0dHh8qVK7Nrl+IGyMjIYOLEiVhbW6OtrY2dnZ3KrtN5h1mvXbuGRCJRiQy6u7sjkUgICAgAFNFDY2NjTp8+jZOTE7q6unz99dekpKSwZ88e7O3tMTExYfLkyWRnZ7+X/qw4qgPe3x8n/LwriU+DuD/pR7QtTbBq37DgMmM6EXTgCs8P/0WSdzAPZ/9CdmoGtn2/ACDR8wUuI78n/KIbKYERRN98gufqI1i2qY9EXXH5ZcYnE7jnEvEPnpH6Ioqov58QsPsiZp9UVWnLbnQH/L47TsQ5V5I8gng08QekliZYdChYn/3YTjzff4Xgw3+R7B3Mk1k7yE7NoFw/hT4NAx3K92+J5+J9xPz9hISH/jyasg2Txk4YNVBMWM2KT+b5noskPHhG2osoYm485vnui5jk0WfcsAqpzyMJ3HGO1KBI4u96EbL3Eob1FHVUGNuZkP2XCT18jRTvYLxm/UxOagY2/Vrmq7vC6I7EXHUn6MdTpPgE47/mCImPnlF+uGJuRXZiKu69vyHi5C1S/EJJcPXB23knhnUdkZYzA0DT1ABdRxsCN58g2SNIEX365gDqutroVbPNt91X2IzpQviBS0QcuUqq9wuezf6J7NR0LPq1ytfeemQnYq/eJ2TrH6T6BPN87WGSH/ljNbxD7t9vbn9ir7gR+M0+kh/7kx4YTuwFFzKjE1TqyklNJzMyTpmyX4vO5ttfpdC/EnU1Kn8zFN9l+wjZe5HUZ6GkeAcTcfLWW/UWla9GdOfA5kP8c+EW/p7+rJm6FjNLM5q1KzyylZ2VTWxkrDIlxCYUav8hadGkEZNHD6H1583+tTYtR3cj6tAFon+9QprPCwLnbiUnLR3zvvlfv5YjuhB/zY3wbSdI831ByPqDpDx+hsXQjkob/QZORP92lcRbj8l4EUHUgQukeASgV7ey4nijakgryPCftolUz0BSPQMJmLYR3dqVMGhW653OY/KkkaxctZFTpy7w6NFThg6bgo2NJd26tSuwTJNPG3Ly1HnOnL1MYOALjh37k4uX/qJRo7oAJCQk0r5jP44ePYW3tx937roxecoCGjaoQ4UKb/6+6L+F/D2l/ypl2pl7HR0dHTIyMhg6dCguLi6cPHmSW7duIZfL6dixI5mZmTRt2pTvv/8eQ0NDQkNDCQ0NVS4BzszMZPny5Tx48IATJ04QEBCgspngwoUL8fDw4OzZszx9+pStW7dibm4OwKZNmzh58iS//vorXl5eHDhwAHt7+xKdT0pKCps2beLw4cOcO3eOa9eu0aNHD86cOcOZM2fYt28fP/30E0ePHi1ROwC6thZoW5oQdf2xMi8rMZW4+36YNKycbxmJpjpGtR1UyiCXE3XjcYFlADQNdMlKSkWenf8MB6mlCVadGhN9K3fXbR07hb7o649U9MW7+WLcsEqB+gxrOxB9I7cMcjnR1x8pyxjWqYialoZKvcm+IaQ+jyywXqmlCZYdGxN7y0OZF+fijbaNGeat6irOUWaErPOnRF++j0RTHYPaFYl5TUfM9UcYFtCGUYMqxOTRBBBz9QGGhfSrhqEu8pwcsuIVK6kyYxJJ9gnGuvfnqOlKkairYTO4DRmRcSQ+eFZgPRJNDfRrOxJ/46GK3vgbDzFokL9eg4ZVVO2BuGvuGDRwelmpBJPWDUh7FkK1Qwtp9Ggntf5chWn7xm/UJfuqBY2e7KLu1e+wnTcANR2tArUq9JZO/+rXdkDbxgxy5DS6tIZmD3+izkFnZXSvpFjbWmFmaYbbjdyh6uTEFJ66e1K9frVCy5ZzKMdhl4Ps+3s3zpvmYGHz9n20/l+QaGqgV8uRhNeu34QbD9Cr75RvGb0GTqr2QMJf99FvkGuf5OqFcZtGaFqZAmDQtCbaFW1IuO6uaFdLE+Qgz8hUlslJz4AcOQaNqxf7PBwcbLG2tuTyldxIb0JCInfv3ufTTxoUWO7WbRe+bNmcypUrAlC7dnWaNW3MufNXCyxjZGRITk4OcXGl5/SLOXMlo8zOmcuLXC7n8uXLnD9/ng4dOnDixAlu3rxJ06aKt9cDBw5QoUIFTpw4Qa9evTAyMkIikbyxa/Pw4cOV/1+xYkU2bdpEo0aNSEpKQl9fn6CgIOrVq6f8od28zlpQUBCVK1emefPmSCQS7OzsSnxemZmZbN26FUdHRwC+/vpr9u3bR3h4OPr6+lSvXp2WLVty9epV+vTpU6K2pBaK4Yf0SNW5HemR8UgtjPMto2VqiJqGer5l9Cvl/4anZWpA5ek9CNp3+Y1j9bdOwqpdA9R1pYSdd+XBjNx5UlKZQkPGO+jLr4xe5XKKei2MyUnPJCshRdUmKl7Z5ivqbJuERbuGqOtKiTjvwuPpufri7nnzYPxm6m6fgppUEzVNDSLPu+A99xc0zV7piFOpLyMyDt3KBfSThTGZr+nOKORc1aSaOC4YQPjxmyqRLPdey6m1exaf++1BniMnMyoe974ryYpPzrceAA1TAyT56M2MjEenUrl8y2jK3tSbGRmH5ku9muZGqOvrUG5iD4LWHCLwm32YtKyH0y+zePL1YhJeOsZRx/8m/UUkGWEx6Fa3w27+IHQcbfAaUfD0CU3T0ulfHTtLABxm9sJn8V7SnkdQYVwX6h1bzO2mU8iKK7iPi4KJTOE0xEbFqeTHRcZhamFaYLmn9z1ZN309z/1eYGZpyqCpA/nu9w2MbD2G1OS3RznLOq+u38zXroesqHi0K5XPt4ymzJis1/o5MzIeTVnuPOeghduxWzOeOi47ycnMghw5gbN/IOmO4tpNdvMiOyWN8vOGELx6H0gklJs3GImGOpoWxZ8vbWWp+B3Q8PBIlfzwiCisrCzyKwLAmrVbMDTU58mjv8jOzkZdXZ2Fi9Zw6NDxfO2lUikrV87j8JETJCYmFVun4OOgTEfmTp8+jb6+Ptra2nTo0IE+ffowdOhQNDQ0VHZkNjMzw8nJ6a2/r+bq6kqXLl2wtbXFwMCAzz//HFA4agDjxo3j8OHD1K1bl9mzZ/PPP/8oyw4dOhR3d3ecnJyYPHkyFy5cKPH56erqKh05AEtLS+zt7dHX11fJe/0nRvKSnp6u3KjwVcqUZ1Puq2Z08NulTGqaH96v19DXofH+2SR5B+O1/vc3jj9ZtJfrbedxd/B6jGrZ08F3Jx38dtH62W4kmuofXN/beLpwL/+0ccZ18Dp07CypujR3krlelXJU+2YIvht+55+283DvswKdCjKc1hVvr6B3QaKhTo2fpyGRgNfsHSrHqqweQUZUPG5dF+PSfh6RZ+9Re98ctApwWj4Yaoo5QzHn7hG6/TQpTwII3nKc2IuuWA7KHTIK33+RuGvupHgGEXXsBj6TN2HW8VOkLx2n0qCg/pW8PKeAjceI/PMOiQ/9eTrlR5CDRZcmxW7ny+4tOeV5Qpk03vGav3fNhet/3sDf0x+Xv1yZN2QB+ob6fN75s3eqT6DAYlgn9Os74TN0BU87zuD58l3YrhiDQfPaAGTFJPBs7DqMWjeinvdh6j09iIahHskP/ZDnvD1m1K9fD+JivJVJ8x2fyb16daFf368YOHgCjT5pz7ARU5k+bSyDBvV6w1ZDQ4PDh7YhkUiYMNH5ndp7X8jf03//Vcp0ZK5ly5Zs3boVLS0tbGxs0NDQ4OTJk+9UV3JyMu3ataNdu3YcOHAAmUxGUFAQ7dq1IyNDMUG7Q4cOBAYGcubMGS5evEirVq2YMGEC69evp379+vj7+3P27FkuXbpE7969ad26db5DoGpqCh867/4zmZmZb9i9/vttEokk37ycQh4Uq1atYunSpSp5ffVqMOi8HrFuuSsTXy0ikMqMSI+IU+ZLZUbEPw7It+6MmARysrKRvjaZ/vU6ANT1tPnk0FyyklK5N+xb5FlvzvNLj4wnPTKeJN8QctIz+PTIPG52X4Y8Kl6pTysffQlPAgvV9/pk/7z60iPiUJNqomGoqxKdk5obkf5GpCeejMh4kn1DyIxN4tNTS/H79hjpEXFUnNyduLveBPx4WmHrkYNXShoNTi3Hf91vL3UYq9SnJTMm47V+UrYVEYfma7pfP3dQOBo1f56Gdnlz7vdcphKVM2lRE/M2DbheZZgy33vuL5h+XhvrPp8TuPmPfNvOiklEno9eTZkRmQXozYx8U6+mzFhpnxWTSE5mFqk+z1VsUn1eYNC44CHDJDfFXFcdB2vSA/NfaZep/Dur6v3Q/ZserrBN9nqhzJNnZJEaFI52efMCz6kgbl28jae7l/KzppbimjcxNyYmIkaZbywzxu9Jwat0Xyc5IZkX/i8oZ19686H+TV5dv5qvXQ8a5kZkRsTmWyYzMg4Nc1V7TZkRmZEKe4m2FuXmDMRv5GrlCtfUp4Ho1nDAamx3Ev9WDNEmXHfncfOxaJgYIM/OITshmTpuu4gJevsq0VOnLnD37n3lZ6lUMb3A0lJGWFjuC7ulhTnuDwpejb5m1ULWrtvCr78qvgsfP/bEzrY8c2ZPZN++33L746UjZ2tbnjZte5d6VO6/PET6PijTkTk9PT0qVaqEra2tcjuSatWqkZWVpdx1GSA6OhovLy+qV1fMW9DS0npj0YCnpyfR0dGsXr2aFi1aULVq1XwjXjKZjCFDhrB//36+//57tm/PHWozNDSkT58+/Pzzzxw5coTff/+dmJiYfOsAxXYlr3B3d3/3jigEZ2dn4uPjVVIvvepkJ6eREhCuTEleL0gLj8W8Re62EBr6OhjXcyTWJf/l/PLMbOIf+quUQSLBvHkNlTIa+jp8esSZnMws7g1ZT076m47r62S/tEmPiFXRZ5anLXV9HYzqVyLOxbtAfQkP/VXKIJFg1qKmskzCg2fkZGSp2Og5WqNTQVZgvZAblXnlZKrraL2xOeSrt3F5dg6JD59h8poOkxY1SSigjXhXb0xbqE6aNv28Ngl5+vWVo6FT0Qr3XsuVW6C8Qk3n5Yq315x9eY4c1Aq+9eWZWSQ99MOoeZ72JRKMmtcm0TV/vYku3hi9jFC8wuiz2iS6euXW6e6LtqPqMK22ow3pL1SHkfKiV9Me4I3tQFT1ZpdK/yY+eEZ2Wga6eaYUSDTU0akgI62QcyqI1ORUQgJClCnQO5Do8GjqNa+ntNHV16Va3ap4uBU+ypAXbV1trO1siI5481n0/4g8M4vkR37KiBkAEgmGzWuT7OaVb5lkVy8MX7t+DVvUJenl9SvRUEdNS/PNDWCzc0Dy5r2UFZtIdkIyBk1roWFuRNyFu2/VnZSUjJ9fgDJ5eHgTGhrOly2bK20MDPRp3Lget++4FliPrq4OOTmqOrOzs5VBBMh15CpVcqBd+z7ExBR8fwnKBmU6MpcflStXplu3bowaNYqffvoJAwMD5s6dS7ly5ejWrRugmOuWlJTE5cuXqVOnDrq6utja2qKlpcXmzZsZO3Ysjx8/Zvny5Sp1L1q0iAYNGlCjRg3S09M5ffo01aopogrffvst1tbW1KtXDzU1NX777TesrKwwNjZ+Q2OlSpWoUKECS5YsYcWKFXh7e7Nhw4YP0h9SqfSNZeyakvyHb579fJbKU7uT/CyMlKAIqs7pRVp4LGHnXJQ2n/42n7Cz9wjYqRhGfvbTn9TdOI64B8+Iu+9LxVEdUNeVEnT4LyDXkVPXkXJvwgY09HXQ0NcBID06AXLkWLSqi1RmRJy7H1nJaRg4VaD6ov7E3PEk9XkUr2KRgdvP4jitB8n+YaQGRVB5Tm/Sw2OJOJurr9HRBYSfuUfQTsXeTwHb/qTWpnHEuz8j/r4v9qM7oq4rJfilvqzEVF4cvErVpYPIjEsiKzGVaiuHEXvPm3hXReTS/KW+eHc/spPT0Xcqj9OiAcTe8ST1ueJLO/KCGzU2jKLCkDZEXXuAvoURlZcPId7Nh4zwWJ5vO021TRNIdH9Gwn1fKrzUEXL4GgDVNk8gPSyGZysOAfB8+xnqn1hChbGdib7khmX3ZhjUccRzpuLlQaKhTs1fpmNQy4GHA9cgUVNTRiAz45IUjqyLN5lxSVTbPJGADUfJTsvAZmArdGwtiL6ouv/b64T8dIrKGyeR9MCPJHcfrEd1VswVPHwFgEqbJpERFkPQygMAhO74kxrHlmEzpguxl90w79YM/TqOPJu1LbfOrX9QZdt0Em57kHDzMcYt62HapiGPey5SXKt2lsi+akHsZTeyYhLRrW6Hw9JhxN96QsrT/KOvryiN/s1OSiVk70UcZvUmPTiatBeR2E7oCkDEyduF6i0qx345wYBJ/Qj2DybseRhDZw4hOjyam+dzp3isPbSam+f+4Y89ikjM6AWjuH3pNuEvIjCzNGPI9EHkZGdz9Y9r70VTcUlJSSXoRe6+eMEh4Xh6+2FkaIB1IXO/SkL49j9w+G4KKQ98SXb3wXJkF9R0tIk6opira//9FDLDoglevV9h/8spnI6uwHJ0N+Ivu2DarQW6tR0JmPMjADlJqSTeekyF+UMISssg/UUEBp/WxOzrL3i+NHdLD7PeX5Lm+4Ks6AT0Gjhhu3QE4T+fIv1ZwfsCFsamzTuY5zwZH99nBAQ8Z+mSWYSEhPPHH7l72104d4QTf5zlx627ATj950Wc507m+fNgnnh4UbduTaZOGc3uPYcBhSP365Ht1Ktbi249hqCuro6lpSLAEBMTl+8o0b+B2GeuZPzfOXMAu3btYsqUKXTu3JmMjAw+++wzzpw5oxyibNq0KWPHjqVPnz5ER0ezePFilixZwu7du5k3bx6bNm2ifv36rF+/nq5duyrr1dLSwtnZmYCAAHR0dGjRogWHDytuEAMDA9auXYuPjw/q6uo0atSIM2fOqLwNvUJTU5NDhw4xbtw4ateuTaNGjfjmm2/o1evNOQ3/Jn5bTqGhK6X2+pFoGuoSc9eLO/1Wq0TS9Owt0TI1UH4O+eM2WmaGOM3+GqnMmIQngdzpt5qMl5tkGtW2x6SBYoVgqzsbVdq71GgSqc+jyE7LwHbAl9RYOgg1LU1SQ6IJPXMX382qQ+b+W06iriul5vpRaBjqEnvXC5e+qvp07VT1hf1xCy0zQyrP7oXUQqHPpd9qlUURnov2Is/Joe4v01GTahB19SEec35RHs9Jy6D8wFZUXTYYNS1N0kKiCT9zl2ebcocpg4/8hbq+NrbD21J1yUCyEpKJ/fsJvssVXxYRf9xC08yQirN7o2VhTOKTAB70W6mchK9dzhzyvE0nuHjzZNwmKs7ti+O8fqT4h/Jo6DqSPRXDlFJrU2TtFftbNb6qujjArccS4v7xIDMmkQf9VlLRuS/1fl+ERFOdZK8XPByyliSPwp2j6JP/oGlmhO3svmjKjEl+4o9H/2/IfPl3lb6mN9HFC5/x32M7px+2zgNI8w/Fc9haUrxyh1Vjzt7l2ZztlJv0FQ7Lh5PmF4LnyHUk3vUEFBEVoxa1sR6pcBzTQ6KJ/vM2L75/+2rt0uhfAN+l+5Fn5VD9h4moaWuR4ObL/Z7LCl1gUhyObP0VbV1tpq2egr6hPo/vPWHuoPlk5rnmbeysMTLN3U9PZm3OvC3OGBobEB8Tz+N7T5jUbSrxMe++cW1JeOzpw/BJc5Sf125WOMzdOrRmxYIZH6TN2FM30TAzwmZmPzRlJqR4+OMzaKly815pOZnK9ZDs6oX/xG8pN3sA5eYMJN0/BL+Rq0nzClLa+I1fT/m5g3DYPA0NY33SX0QSvOYAkfvOKW20HctRfu4g1I31yXgRQeimo4T//G5TfwDWrf8RPT1dtv24FmNjQ27evEenLgNJT09X2lSsaIe5ee6CmClTF7B0yWw2b1qJhYUZISHh/LxjP8u/+Q6AcuWs6NpFMU/VzeWiSnutWn/NX9ff39Y6xUG4ciVDIn/bD4cJ/u84ZdWvtCUUC80yeIlqlbEZINpq72evwn+LtJzSXxBTHFZqlY4j9a6cvb+1tCUUiwd1S29T5Hfh04h7pS2hWGRlBH/wNsbYv59gxk8Bv73d6P+QMj1nTiAQCAQCgeC/zv/lMKtAIBAIBIKyQ9kay/j4EM6cQCAQCASCUuW/vEfc+0AMswoEAoFAIBCUYURkTiAQCAQCQakihllLhnDmBAKBQCAQlCpimLVkiGFWgUAgEAgEgjKMiMwJBAKBQCAoVcQwa8kQzpxAIBAIBIJSJacMbg7/MSGGWQUCgUAgEAjKMCIyJxAIBAKBoFQRcbmSIZw5gUAgEAgEpUqOcOdKhHDmBAKBQCAQlCpia5KSIebMCQQCgUAgEJRhRGROIBAIBAJBqSK2JikZwpkTCAQCgUBQqog5cyVDOHP/QWpZRZW2hP97vEPNSltCsbCxjC1tCcXiaIxlaUsoFt5JIaUtoVg8qDu9tCUUizru35a2hGIxveH80pYg+D9DOHMCgUAgEAhKFbEAomQIZ04gEAgEAkGpIubMlQyxmlUgEAgEAoGgDCMicwKBQCAQCEoVufht1hIhnDmBQCAQCASliljNWjLEMKtAIBAIBAJBGUZE5gQCgUAgEJQqYgFEyRDOnEAgEAgEglJFbE1SMoQzJxAIBAKBoFQRc+ZKhpgzJxAIBAKBQFCGEZE5gUAgEAgEpYrYmqRkiMicQCAQCASCUiXnPaUPSUxMDAMGDMDQ0BBjY2NGjBhBUlJSoWW++OILJBKJSho7dqyKTVBQEJ06dUJXVxcLCwtmzZpFVlZWsbR9VM7c7t27MTY2LlUNAQEBSCQS3N3dS1WHQCAQCASCj4cBAwbw5MkTLl68yOnTp7l+/TqjR49+a7lRo0YRGhqqTGvXrlUey87OplOnTmRkZPDPP/+wZ88edu/ezaJFi4ql7V8fZh06dCh79uwBQFNTE1tbWwYPHsy8efP+bSmCt2DQpytGQ3qhbmZKhrcf0Wt+IOOxV762+l91QL9zGzQr2QOQ4eFD7JadKva6XzbHoFdntKpVRt3YkJA+Y8nw8isz+otDhWFtsR/fBS0LI5I8gng6bxcJ9ws+V8sun1BpTm+0K8hI8Q/DZ/lBoi67q9g4zu5F+YFfomGoR9w9L57O/oUU/7Dc861lT5WF/TGs64g8O4eIP+/itWgv2SnpAGia6FPrx4noV7dFy8SAjKgEIs654LPycJHOqSxeD82m96RW/5ZIDXUJcfHm4rxdxAWEF2hfvrETjcZ2wrKWA/qWJpwY+R2+F1xVbHTNDfnMuS/2n9VCaqjLizteXF60p9B6i8N05wn0H9QTQyMDXO64M2/mcgKeBRVaxtLaAufF02jZujk6OtoE+D9n5sQFPHT3AMBcZobz4ml81rIJhkYG3LnlyqI5q95ab15kQzpgNbYHmjJjUp4G8HzhzyS7+xRob9KpKTaz+iMtb0FaQCjBK/cSfyW3L9V0tSk/bxDG7T5Bw8SA9KAIInaeJnL/eaWN1M6K8guHot+oGmpamsRfu0/Qwu1kRcUXWXdxcXF/xK6DR/Hw9CUyOoaNqxbS6rOmH6y9t9F22tc07vclOoZ6BLh4cXzBTqICwgq0bzm+GzXbNcLC0YbMtAwC3Lw5u/oQkc9ClTb6MiM6OQ+gSotaSPW0iXwWyuUtJ3h87u6/cUr58rGvZn369Cnnzp3j3r17NGzYEIDNmzfTsWNH1q9fj42NTYFldXV1sbKyyvfYhQsX8PDw4NKlS1haWlK3bl2WL1/OnDlzWLJkCVpaWkXSVyqRufbt2xMaGoqPjw8zZsxgyZIlrFu3rjSk/GtkZGSUtoRiodv2c0xnjCHup/2E9BtHhvczLH9chZqJcb722g3rkHzuKuGjZhE2eApZ4ZFYbV2NuoWZ0kaio03a/cfEbtxRJvUXp22npYPw23CU222cSXwSSIPDzmiZG+Zrb9SwCrW2TSb44FVut55LxFkX6u6eiX7V8kob+4ldsR3ZHo/ZO7jTcQHZKenUP+KMmlQTAKmlCQ1/W0CKfzh3OizArd8q9JzKU3PTeGUd8hw5EedccR+8nr+bTuPxlK2YfVaT6utGFumcytr10HhcZ+oNa8tF550c6LqYzJR0vt4/B/WXfZYfmrpSIjyCuLRgT4E23X+ehpGtBSdGfMfeDgtICI6i90FnNHWkJdY8bvJwho3uj/OM5XRtM4CUlFT2H/0JqbTgB7qRkSHHzu4lKyuLwb3H0apJd5YvXEd8XILS5uf9G7G1L8+IgZPp8EVvgp+HcvD4z+jo6hRJl0mXZlRYNJyQ7w7j0WE6qR4BVN6/GA0zo3zt9Ro4UfGHGUQdvoRH++nEnbuD4465aDvZKm0qLB6O4Rf18Z/8PY+/mET4L6ew/WY0Rm0aAaCmI6XygSUgl+PdZxGePZyRaGpQefd8kEiKpPtdSE1Nw6lSRebPGP924w/MF2O70GxYe47N/4XN3ReSkZrOiL1z0SjkGq74STX+2XeBLT0W8fOglahraDByr+r12XfDeGQVrdk9cj3ftpvDo3P3GPjDFGxq2P8LZ5U/OcjfS0pPTychIUElpaenl1jfrVu3MDY2VjpyAK1bt0ZNTY07d+4UWvbAgQOYm5tTs2ZNnJ2dSUlJUam3Vq1aWFpaKvPatWtHQkICT548KbK+UnHmpFIpVlZW2NnZMW7cOFq3bs3JkyeVx8+fP0+1atXQ19dXOn6vyMnJYdmyZZQvXx6pVErdunU5d+6c8nhGRgYTJ07E2toabW1t7OzsWLVqlfK4RCJh69atdOjQAR0dHSpWrMjRo0ff0Pjs2TNatmyJrq4uderU4datWyrHf//9d2rUqIFUKsXe3p4NGzaoHLe3t2f58uUMHjwYQ0NDZSj2beUkEgknTpxQyTM2Nmb37t1FOr/3hdGgniQeO0vSH+fJfBZE9DcbkaelY9C9Xb72UfNWk/jrKTK8/MgMeE700m9BIkG7cT2lTfKfl4jfvp+0O27vXe+/ob84bb/Yf4WQw3+R7B2Mx6wdZKdmYNPvi3zt7UZ3IPrqAwJ+PE2yTwh+a34l4ZE/FYa3U7F59t1xIs+5kuQRxOOJPyC1NMGig+LBYt62PjlZWTydu5MUv1AS3J/xdPYOLLt8go694iGRFZ/Miz0XSXjwjLQXUcTceMzz3Rcx+aRqkc6prF0P9Ue05/bmP/C76EaU53POTNuGvoUxldo2KLCM/7WH3Fx/FN/zLvkeN3GwwqZBZS7N30XYw2fEPgvl4rxdaGhrUrVbkxJrHjF2IJs3bOfi2at4engzbdw8LKxktO30ZYFlxk0ZTmhwGDMnLuSB22OeBwVz4+otAgNeAODgaEeDRnWYP3M5D+8/4ZlvAPNmLEdbW0q3nh2KpMtydDeiDl0g+tcrpPm8IHDuVnLS0jHv2yp/+xFdiL/mRvi2E6T5viBk/UFSHj/DYmhHpY1+Ayeif7tK4q3HZLyIIOrABVI8AtCrW1lxvFE1pBVk+E/bRKpnIKmegQRM24hu7UoYNKtV1C4tNi2aNGLy6CG0/rzZB2ujqDQf3oHLm4/jcdGVMM8gjkz/EUNLE2q0bVhgmV+GrMb16HXCfV4Q+jSIX2duxaS8jPK1HJQ2dg2q8M+e8zx/4EfM8wiubDlOakIy5Ws6FFhvWWHVqlUYGRmppPfxHRkWFoaFhYVKnoaGBqampoSFFRwp7d+/P/v37+fq1as4Ozuzb98+Bg4cqFJvXkcOUH4urN7X+SjmzOno6CgjVykpKaxfv559+/Zx/fp1goKCmDlzptJ248aNbNiwgfXr1/Pw4UPatWtH165d8fFRhPs3bdrEyZMn+fXXX/Hy8uLAgQPY29urtLdw4UJ69uzJgwcPGDBgAH379uXp06cqNvPnz2fmzJm4u7tTpUoV+vXrp5yQ6OrqSu/evenbty+PHj1iyZIlLFy4UOlwvWL9+vXUqVOH+/fvs3DhwiKXK4yinF+J0dBAq1oV1S9ZuZy0O25Ia1cvUhUSbSloaJATn/h+tRWF0tT/su3oG49U2o65/gjjhlXyLWLUoDLR1x+p5EVffaC017GzQGppQkwem6zEVOLdfDF6aaOmpYE8IxvyrAjLTlXcUwU5a1JLEyw6NibmlkeRzqksXQ9GtjL0LYwJ/PuxMi8jMZVQdz9sGlR+53rVtRQzU7LSM3Mz5XKyMrIo1yj/v29RsbUrj4WVjL+v3VbmJSYm4e76iAaN6hRYrk2HL3jo7sHWXRtw87rGmWu/0m9wT+XxV8M06Wm50Qm5XE5GRiaNPqn/Vl0STQ30ajmScONhbqZcTsKNB+jVd8q3jF4DJ1V7IOGv++g3yLVPcvXCuE0jNK1MATBoWhPtijYkXHdXtKulCXKQZ+T2dU56BuTIMWhctOuuLGNawQJDCxN8buZew2mJqTx398OuftGvYW0DXQBS4nIn6ge6elOncxN0jPSQSCTU6dIETakmfrff8iz4gMjl8veSnJ2diY+PV0nOzs4Ftjt37tw3Fii8njw9Pd/5vEaPHk27du2oVasWAwYMYO/evRw/fhw/v/c7paRUtyaRy+VcvnyZ8+fPM2nSJAAyMzPZtm0bjo6OAEycOJFly5Ypy6xfv545c+bQt29fANasWcPVq1f5/vvv+eGHHwgKCqJy5co0b94ciUSCnZ3dG+326tWLkSMVQ0vLly/n4sWLbN68mR9//FFpM3PmTDp16gTA0qVLqVGjBr6+vlStWpVvv/2WVq1asXDhQgCqVKmCh4cH69atY+jQoco6vvzyS2bMmKH8PGDAgCKVK4yinF9JUTcxQqKhTnZ0rEp+dnQsmvYVilSHydSRZEdG/ytRuNcpTf2v2s6IVJ3Tkx4Zj17lcvmWkVoYv2GfERmPloViCEtLZqys43UbqYXiWMzfT3BaOgj78Z0J/Pks6rraVFnQX1G/pbFKuVrbJmHRriHqulIizrvgMX07lUzffk5l6XrQe9lnKVEJKvkpUQnoyfIfGiwKMX6hJLyI4rM5fbjg/AuZKek0HNkBQxsz9F7+Ld4VmaViCDoqMlolPyoyGpmFeYHlKtiVZ+Cw3uz4cS9bvv2ZOvVrsnTVXDIzMjl6+CR+Pv68eB7CnEVTcZ62jJSUFEaOG4xNOSssrAqu9xUapgZINNTJjIxTyc+Kike7Uvl8y2jKjMmKUrXPjIxHU2ai/By0cDt2a8ZTx2UnOZlZkCMncPYPJN1ROBTJbl5kp6RRft4QglfvA4mEcvMGI9FQR9PChP93DF5ep0mv3feJkfEYvLy+34ZEIqHrosH43/Mk3PuFMn//xI0M2DKZpQ92kJ2ZRUZqBnvGfEt04PuZ9/kuvK9Ng6VSKVJp0ac8zJgx463fvxUrVsTKyoqIiAiV/KysLGJiYgqcD5cfn3zyCQC+vr44OjpiZWXF3buqcxXDwxV/h+LUWyqRudOnT6Ovr4+2tjYdOnSgT58+LFmyBFBMFHzlyAFYW1srOzAhIYGQkBCaNVMNfzdr1kwZWRs6dCju7u44OTkxefJkLly48Eb7TZo0eePz65G52rVrq2gAlDqePn2arwYfHx+ys7OVeXnH1otTrjCKcn55yXf+QM6HXcBtNKwPeu2+IGL6EpW36rJCWdSf7PWCx5O3YjeuM60C9vLFo22kBkWQHhGHPEf1Iem1cC+32jhzf/A6dO0scVo66INq+zf6s1r3pkx+ukOZ1DTUP0g7OVnZ/DHme0wcrJj0aDtTvXZSoUl1nl1xh5zifRl1/7oTT4PuKJOGRsHzoApDTU2Nxw+fsvabTTx55MnBPUc5tPd3BgzrDSi+cMYMnoaDox2P/G/iFXyPJi0aceXiDXKKqfl9YjGsE/r1nfAZuoKnHWfwfPkubFeMwaC54tmbFZPAs7HrMGrdiHreh6n39CAahnokP/RD/oGfYaVBvW7NWP5klzKpa5Y81tJ9+TAsnSpwcNJmlfx203ujY6jH9v7fsKnrfG78coaBP0zByqloL2f/T8hkMqpWrVpo0tLSokmTJsTFxeHqmruI58qVK+Tk5CgdtKLwaqeMV35FkyZNePTokYqjePHiRQwNDalevegR6FKJzLVs2ZKtW7eipaWFjY0NGhq5MjQ1VR9oEomkWJsJ1q9fH39/f86ePculS5fo3bs3rVu3zndeXGHk1SF5Odk2p5gPED09vWLZv2rr9fPNzMz9Aizu+a1atYqlS5eq5E2xdGCqlWO+9gDZsfHIs7JRN1N9+1U3MyE7KraAUgoMB3+N0fC+hI2ZQ6aPf6G2H4rS1P+qba3Xoj9SmRHpEXH5lkmPiHvDXktmREaE4o0842VERCozIiNPHVoyIxKfBCo/hx27Sdixm2jJjMhOTgPAbmwnUl97286IjCcjMp4U3xAyY5NofGopzw/8QnZUTKHn9DFfD74X3QjNs1pYXap4puiaG5Kcp890zQ2J8Cj6Cs78CH8UwN4O89Ey0EFdU4PUmEQG/LGEsIfFO7+L565y3zV3KPLVIgdzmRkR4VHKfHOZGR6PCx7miQiPxOe1VcA+3s/o0KW18vOjBx50+LwXBgb6aGppEhMdyx8XD/Dw/tuH1bJiEpFnZaP5WjRIw9yIzIj8//6ZkXFomKvaa8qMyIxU2Eu0tSg3ZyB+I1crV7imPg1Et4YDVmO7k/i3ol8SrrvzuPlYNEwMkGfnkJ2QTB23XcQElV4E6UPhccmVIHdf5WcNLcV3kL7MiMQ8UVEDmREhHgFvra/b0qFU+7I+W3svJT4s9942tbWg2dB2bGgzi3AfRbQu9GkQDo2caDq4Lcfm//J+TqiYfOyrWatVq0b79u0ZNWoU27ZtIzMzk4kTJ9K3b1/lStbg4GBatWrF3r17ady4MX5+fhw8eJCOHTtiZmbGw4cPmTZtGp999pkyYNS2bVuqV6/OoEGDWLt2LWFhYSxYsIAJEyYUK8JYKpE5PT09KlWqhK2trYoj9zYMDQ2xsbHh5s2bKvk3b95U8WANDQ3p06cPP//8M0eOHOH3338nJib3Yr59+7ZK+du3b1OtWrUi66hWrVq+GqpUqYK6esERgaKUk8lkKgs+fHx8VFa+FOX88pLf/IFxFm+Z5JqVRcZTb9XJ/y8nr6c/LPjhbzi0N8ajBhI+fh4ZHt6Ft/EhKU39L9s2a1FTpW3TFjWJc8m/znhXH1V7wOzz2kr71MAI0sNjMc1jo66vg1H9SsTnU2dGZDzZKelYdmtCTnoG0X89esNGKU1N8aIi0SokKlQGrofM5DTiAsOVKdo7mKSIOOya1VDaaOnrYF3XkRDXgrfTKA4ZiamkxiRibG+JZe2Kb2xh8jaSk1II9H+uTN6efkSERdLs89y3fH0DPeo2qIXrvQcF1uNyxx3Hl1vAvKJiJXtevAh9wzYxMYmY6FjsK9pSu24NLpy98lad8swskh/5KSNmAEgkGDavTbJb/lvTJLt6YZjXHjBsUZckV4W9REMdNS3NN1/Us3NA8ubXUlZsItkJyRg0rYWGuRFxF0pvC40PRXpyGtGB4coU7vOChIhYKjfNve+l+jpUqOtIoFvh13C3pUOp2a4R2/t/Q+yLSJVjWi9Xtb4e3czJyVEGLkqDHLn8vaQPyYEDB6hatSqtWrWiY8eONG/enO3btyuPZ2Zm4uXlpfzO1tLS4tKlS7Rt25aqVasyY8YMevbsyalTp5Rl1NXVOX36NOrq6jRp0oSBAwcyePBglellRaHM/ZzXrFmzWLx4MY6OjtStW5ddu3bh7u7OgQMHAPj222+xtramXr16qKmp8dtvv2FlZaWyGfFvv/1Gw4YNad68OQcOHODu3bv88kvR30ZmzJhBo0aNWL58OX369OHWrVts2bJFZc7du5b78ssv2bJlC02aNCE7O5s5c+aoRAmLcn55yW/+QIza2334+H2/I1s+m3QPbzIee2E4oAcSHW0S/1DsAWW+fDZZEVHEbd4JgOHQPpiMH0yk8yqyQsKUUZyclFTkqYookZqhARrWFqjLFHODNOwU822yo2LemI9VUj6E/uK0XW7ZbBLcnxF/3xfb0R1R15UScvgvAGpuHk9aWAy+KxT7uwVuP0ujE4uwG9uJyEv3se7eFMM6FfGYmfuQCNx+lorTepDiH0ZqUASV5vQmPTyWiLO5qy4rDG9H3D0vspPTMfu8FlUWDcBnxSGyEhQPFvNWddGSGZHg7kdWcjr6TuWpsmgAsXc8yQopPNJRFq8Ht1/O8enk7sQGhBMfFEGzmV+TFBGn4nT1OuSM7zkX7u+5CCi2JjG2z11ZZlRBhqy6LWlxySSGKOayVenUmNToRBJCojB3qsCXSwbhe96FwBuPKSm/bNvP5BljCPALIigwmJnzJhIRFsmFP3OdrkPHf+bcn1fYs+MQADu27uX4uX1MmDaS0yfOU7d+LfoP7sncablfBp26tSU6KoaQF2E4Va/MklVzOH/mCjeu3npDQ36Eb/8Dh++mkPLAl2R3HyxHdkFNR5uoI5cBsP9+Cplh0QSv3q+w/+UUTkdXYDm6G/GXXTDt1gLd2o4EzFE863KSUkm89ZgK84cQlJZB+osIDD6tidnXX/B86S5lu2a9vyTN9wVZ0QnoNXDCdukIwn8+RfqzkJJ1dCGkpKQS9CK3/uCQcDy9/TAyNMDayqKQku+fv3ee5ctJ3YkKCCPmeQRtZ/QiITyWJxdy7/tRB+bz5Pw9/tmrmHLTfflw6nVryp5RG0hLTkX/ZdQ/LSGFrPRMIvxCiPIP5auVI/lz5QGSYxOp2bYRlZvXYvfw0tsi7OOOyykwNTXl4MGDBR63t7dXeUGpUKECf/3111vrtbOz48yZMyXSVuacucmTJxMfH8+MGTOIiIigevXqnDx5ksqVFat7DAwMWLt2LT4+Pqirq9OoUSPOnDmDWh4HZunSpRw+fJjx48djbW3NoUOHijU2Xb9+fX799VcWLVrE8uXLsba2ZtmyZW+dRFmUchs2bGDYsGG0aNECGxsbNm7cqDJGX5Tzex+kXPiLGBNjTMYNQd3chAwvP8LHzyMnJg4ADWsLlZWThr07I9HSwmLDYpV64rbtJW7bPgB0v2iC+bJZymMWaxe8YfMx6y9O29Hq5XCc3QuphTGJTwJx67dauchBu5y5yjy2eBdvHo3bTKW5fag8ry8p/mG4D11PkmfuhOWALSdR15VSff0oNAx1ibvrhVvf1eTkWVVpVM8Rx1lfo6GnTbJvCB6zdhB69IbyeHZaBuUHtkJv2WDUtDRJC4km4sxd/Df9QcW3zAgoi9fD3a2n0dSR0nbVcKSGugS7ePP7oLVk5+kzY1sLdEwNlJ+talekz6/zlZ9bLlZsIfD4t+ucm6FwrvUsjPli4QD0zI1Ijojjye9/c2vT8RLrBdi6aSc6ejqs+m6xYtPg2/cZ1Gss6em5+1TaOlTA1MxY+fnh/SeMHjSVOYumMmXWWJ4HBbN0/lpOHP1TaWNhac7Cb2a9HMKN5Pcjp9i0bluRdcWeuomGmRE2M/uhKTMhxcMfn0FLlZv3SsvJVOYMJrt64T/xW8rNHkC5OQNJ9w/Bb+Rq0rxyh7j9xq+n/NxBOGyehoaxPukvIglec4DIfblbTWk7lqP83EGoG+uT8SKC0E1HCf85dxurD8FjTx+GT5qj/Lx2s+Lv3q1Da1YsmFFQsQ/CtW2n0NKR0nPVSLQNdQm458UvQ1arrKY2s7NEL8813HRQGwDGHlH9BYEjM7fievQ6OVnZ7By2lg5z+jJ0xyykelKiAsP5dcZWPK+5/yvnJXj/SOT/sV+3lUgkHD9+nO7du5e2lFIjoG6b0pbwf493aPE3Gy5NqlhHv93oI+JojOXbjT4iNiUVPEz6MXJMt+A5tR8jddy/LW0JxWJ+w/lvN/qIWBtw6IO30axcwXspFoebwW+fOvD/SJmLzAkEAoFAIPj/4n1tTfJf5aPYNFggEAgEAoFA8G785yJz/7FRZYFAIBAIPnrEd3PJ+M85cwKBQCAQCD4uxDBryRDDrAKBQCAQCARlGBGZEwgEAoFAUKp87L8A8bEjnDmBQCAQCASlipgzVzLEMKtAIBAIBAJBGUZE5gQCgUAgEJQqYgFEyRDOnEAgEAgEglJFDLOWDOHMCQQCgUAgKFVEZK5kiDlzAoFAIBAIBGUYEZkTCAQCgUBQqoitSUqGcOYEAoFAIBCUKjlizlyJEMOsAoFAIBAIBGUYEZkTCAQCgUBQqohh1pIhnLn/IEFhxqUtoVikydVLW0KxiVcrW5rvhFuUtoRiYV/GHvxev00qbQnFwqDD0tKWUCymN5xf2hKKxQqXFaUt4aNDDLOWDDHMKhAIBAKBQFCGEZE5gUAgEAgEpYoYZi0ZwpkTCAQCgUBQqohh1pIhhlkFAoFAIBAIyjAiMicQCAQCgaBUEcOsJUM4cwKBQCAQCEoVMcxaMoQzJxAIBAKBoFQRkbmSIebMCQQCgUAgEJRhRGROIBAIBAJBqSKX55S2hDKNcOYEAoFAIBCUKjlimLVEiGFWgUAgEAgEgjKMiMwJBAKBQCAoVeRiNWuJEM6cQCAQCASCUkUMs5aMj3aY9YsvvmDq1KnKz/b29nz//ffKzxKJhBMnTvzrugQCgUAgEAg+JooVmRs6dCh79ux5I9/Hx4dKlSq9k4Br167RsmVLYmNjMTY2VuYfO3YMTU3NAsuFhoZiYmLyTm2WBIlEglQqxcvLCzs7O2V+9+7dMTY2Zvfu3f+6pveF9bB2VBjfFS2ZMUkegfjN30nifd8C7c27fIr97L5oV5CR6h/Gs2/2E3v5fr62ldaMwmZIW/wW7iL45zPK/Mb3fkC7goWKrf83B3i+5YRKXoVhbbEf3wUtCyOSPIJ4Om8XCff9CtRm2eUTKs3pjXYFGSn+YfgsP0jUZXcVG8fZvSg/8Es0DPWIu+fF09m/kOIfpjyuW9GaKosHYNyoCmpaGiR6BOG75ldib3oobdqGH36j7YdjNhJ/8m6+umrM6onDgJZoGeoRdc8bt7k7SfIPL/A8AByHtsFpfCe0ZUbEeQRxf/4eYt2fKY9//vt8LJpWVynjt/cybnN2Kj+b1KlIrfl9MKntAHKIcffj4fJDxHsEFdp2zVk9qTigJZov9boWQW+loW2omkev2/w9xOTRC2DWoBK15vbGrL4j8mw5sU8Cud5vNdlpmQB0vvs9ehVkKmUerDiM55ZThbZd/bX+vV/E/q3yUm98Pv2bl+YHZmP1ZR3+GfYtIedclfmv+tc4T/8+KkL/5uXwX/fZc9GF6IRkqpSXMaf3l9Syt87XdsR3R3D1efGmvhoObJnwFQB1x2/It+zUHp8xtE2jIut6G0sWz2TE8P4YGxvyzz8uTJjkjK+vf4H2ampqLF40g/79vsLKSkZISDh79/3GipXfA6ChocHyZbNp3/5LKjrYER+fwOUrfzNv/kpCQwv/WxaFttO+pnG/L9Ex1CPAxYvjC3YSFRBWoH3L8d2o2a4RFo42ZKZlEODmzdnVh4h8Fqq00ZcZ0cl5AFVa1EKqp03ks1AubznB43P5PwfeJy7uj9h18Cgenr5ERsewcdVCWn3W9IO3+74Rw6wlo9iRufbt2xMaGqqSHBwc3qnxzMzMAo+ZmppiYGBQ4HErKyukUuk7tfs25HI5WVlZBR6XSCQsWrTog7RdWsi6NcVxyRACN/yGW9s5JD8JpOah+WiaG+Zrb9iwCtW2TiXs0BVc28wm6uxdauyajW7VCm/YmnVojGGDKqSHxuRbV8Caw9yqNUqZgneeVTlu2a0JTksH4bfhKLfbOJP4JJAGh53RKkCbUcMq1No2meCDV7ndei4RZ12ou3sm+lXLK23sJ3bFdmR7PGbv4E7HBWSnpFP/iDNq0twXiHr7ZyNRV8Pl62+43WYeiU8Cqb9/NloyI5X2Hk/eyrWaY5Qp4qxLvrqcJnSm0oh2uM3ZxeVOi8hKSafFobkqbb5O+a6fUmfJADw2HONiuwXEewTx2aG5SM1Uz/3Z/iucrD1emR4uP6Q8pq4rpcXB2aQER3O502KudltKVlIanx2ag0RDZT3zZQAAUXtJREFUvcC2q07oTOUR7XCZs4tLnRaRnZLO52/RW6Hrp9RdMoAnG45xod0C4jyC+Pw1vWYNKvHZwTmE/fWIix0WcbHDQnx3XkCeo/owf7T2N/6oPV6ZfH65UGC7oNq/V17qbV6E/q39sn8vvdTbIp/+Bag8un2+XzjqulKav+zfK50Wc+1l/7Z4S//m5byLJxt+/4sxnZpwyHkQVcrJGL/5d2ISU/K1/3Z0Vy6tGqtMRxcMQV1NQpv6VZQ2eY9fWjWWJYPaIZFA63qVi6SpKMyaOZ6JE4YzfuJcmjbvQnJKCmdOHyj02Tx71gTGjB7MlKkLqFn7C5znr2TmjHFMnDAcAF1dHerVrcWKlRtp9El7evUehVOVihw/tqvEer8Y24Vmw9pzbP4vbO6+kIzUdEbsnYtGIddIxU+q8c++C2zpsYifB61EXUODkXud0dTJPce+G8Yjq2jN7pHr+bbdHB6du8fAH6ZgU8O+xJrfRmpqGk6VKjJ/xvgP3taHJEcufy/pv0qxnTmpVIqVlZVKUldXPLD++OMP6tevj7a2NhUrVmTp0qUqTpFEImHr1q107doVPT09Ro0aRcuWLQEwMTFBIpEwdOhQ4M1h1tfJO8y6ZMkSJBLJG+lVlCwnJ4dVq1bh4OCAjo4OderU4ejRo8q6rl27hkQi4ezZszRo0ACpVMrff/9dYNsTJ05k//79PH78uECbc+fO0bx5c4yNjTEzM6Nz5874+eVGkgICApBIJPz666+0aNECHR0dGjVqhLe3N/fu3aNhw4bo6+vToUMHIiMjVeresWMH1apVQ1tbm6pVq/Ljjz8WqKOolBvTmdADlwk/fI0U7xf4zN5OTmoGVn2/zNfeZlQnYq668+LHk6T6BBO49ghJj55hM6y9ip2WlSmVVgzHc8JG5AU4yNlJqWRGxilTTkq6ynH7sZ14sf8KIYf/Itk7GI9ZO8hOzcCm3xf51mc3ugPRVx8Q8ONpkn1C8FvzKwmP/KkwvJ2KzbPvjhN5zpUkjyAeT/wBqaUJFh0aAqBpaoCeozX+m0+S5BGkiO59cwh1XW30q6k6rJkJyWRExitTTnr+LymVR7Xn6fcnCDnvSvzT59ydvBUdS2PKtW+Qrz1AlTEd8D9wlYAj10n0DsZ19k6yU9Ox7/e5il1WajrpkfHKlJWUqjxmWNkGqakBT9YdJckvlATvYJ5sOIa2hTG65c0LbntUezzy6L1TBL1OYzrw7MBV/I9cJ8E7GJfZO8lKTcchj956Swfh88t5PLecIsE7mES/UJ6fukNOhur1kZWURlpkvDJlp6a/3pwKlUa1x/P7E4S+1r82RejfwJf961ZA/xrVsKPymE64TNv+Rh359a9HEfo3L/uuuPJVs1p0b1ITR2szFvRrg7aWJif+eZSvvZGeDuZGesp02zMQbS1N2tZ3UtrkPW5upMe1B740qmJLeXPjImkqCpMnjWTlqo2cOnWBR4+eMnTYFGxsLOnWrV2BZZp82pCTp85z5uxlAgNfcOzYn1y89BeNGtUFICEhkfYd+3H06Cm8vf24c9eNyVMW0LBBHSpUsCmR3ubDO3B583E8LroS5hnEkek/YmhpQo22DQss88uQ1bgevU64zwtCnwbx68ytmJSXUb5WbhDDrkEV/tlznucP/Ih5HsGVLcdJTUimfM13C3QUhxZNGjF59BBaf97sg7cl+Hh5b3Pmbty4weDBg5kyZQoeHh789NNP7N69mxUrVqjYLVmyhB49evDo0SOWLl3K77//DoCXlxehoaFs3Lix2G3PnDlTJVK4fv16dHV1adhQcYOuWrWKvXv3sm3bNp48ecK0adMYOHAgf/31l0o9c+fOZfXq1Tx9+pTatWsX2F6zZs3o3Lkzc+fOLdAmOTmZ6dOn4+LiwuXLl1FTU6NHjx7k5KhujLh48WIWLFiAm5sbGhoa9O/fn9mzZ7Nx40Zu3LiBr6+vShTwwIEDLFq0iBUrVvD06VNWrlzJwoUL8x3+LioSTQ0Malck7vrD3Ey5nLgbDzFoWCXfMoYNqqjaA7HXHmCY114ioeqWSTz/8SQpXm8OCb2iwqQeNPHYSf2Layk/viuo516WCm0ORN/I86UmlxNz/RHGBWgzalCZ6OuqX4LRVx8o7XXsLJBamhCTxyYrMZV4N1+MXtpkxiSS7BOMTe8WqOtKkairUX5wa9Ij40h4oDqEVG3VcL7w2M4n574p0MHUs5WhY2lC+I0nKm3G3PfDrGH+kRKJpjomtR0Iv5HnpUEuJ/zGY8waqJax+6oZXZ9so+3V1dSc1wd1HS3lsUTfUNJjEnHo9wUSTXXUtDVx6P85Cd7BpDxXfVEoTG9mYirR9/0wL0CvWiF6zV/qlZoZYtagEulRCbQ6uZhuD3+k5bEFmDd+829ZdWIXuj/ZRtsLK3Aa1wmJesGPq3ftX+PaDkS8pX/VdbT45McJ3J+3m/TI+DfqeZf+zUtmVjZPg8L5xMlWmaemJuGTqrY89A8tpGQuJ/55TLsGTugUEGGKTkjm78f+dG9as0j1FQUHB1usrS25fCX3xTchIZG7d+/z6ScFO9C3brvwZcvmVK5cEYDatavTrGljzp2/WmAZIyNDcnJyiItLeGe9phUsMLQwwedm7t87LTGV5+5+2NUverRS20AXgJS4JGVeoKs3dTo3QcdID4lEQp0uTdCUauJ326OgagSvIX9P//1XKfZq1tOnT6Ovr6/83KFDB3777TeWLl3K3LlzGTJkCAAVK1Zk+fLlzJ49m8WLFyvt+/fvz7Bhw5Sf/f0VX4wWFhYqc+aKg76+vlLT7du3WbBgAXv27KFmzZqkp6ezcuVKLl26RJMmTZTa/v77b3766Sc+/zz3DXzZsmW0adOmSG2uWrWK2rVrc+PGDVq0aPHG8Z49e6p83rlzJzKZDA8PD2rWzH2gzpw5k3b/a+/O42LO/ziAv2Y6pvuiEOkgRwphWcdiY13rCOvMFmWXteRINrukyZ2b9XNTzthl3Tfrat0pQsd0I6FDunR9fn+k0Zjp3NX3O7yfj8c8HuY736bXjGnmM5/j/eld/C126tSpGDVqFC5cuIDOnYu/Zbm5ucnMw5s3bx5WrFiBIUOK58VYWlpKG88lz31pb9++xdu3sj0aeawQ6oL3wz9qRroQqKog74MPqryXr6HfuL7Cx69uYqDg/HSomxhIr5tNHgRWUIhnW0+iLE+3nkLmgxgUpGVC74umsPh1NNRNDBHjEyDNJlSQ7e3L19C2VpxNpDDba6ibFA+PqhsbSO/jw3NEpfLfGbYQrf094BC9A6yIIe/VawSPXIKC11nScyRLDiD1WhgKc/JQq3tLNF/iClVtDTzYfk7mvjVMFP/O3JevoWFsAEVE7x57rtzPZEC38fseioS//kH2k1fIeZ4OAxsz2P02CrqN6uG622oAQEFWLi4NWYDOO6bDZvpgAMCb2Oe4OmopWKHiqusleeV/d9l51cvJq/cur4558fzIFh5DEOq7F2kP42Ex7Ct0P/ArTn/9i3R+W+S2M0i7H4e89EzU/qIJWs4eAc06Bgjx2VNu3v/i+X1bKi8AtBKPQcrtSCSdufvhXQAofn4vD1mATjumo3mp5/daOc9vaWmZOSgsYqilpy1zvJauFuKSFU9NKO1BXBIkz15h3pheZZ5z9MZDaGmoo0fr/26ItW6d4v/L5GTZBmvyi1eoW9dE0Y8AAJb6/Q49PR08fHAZhYWFUFFRwVzvpdi37y+F54tEIixa9CsC9x/GmzeZCs+pDN130yMyP/j/fvPyNXTLeI18SCAQYKC3M2JvhyM58v0X1N2T18Dpd3eIQ7eiML8AeTl5CJiwEinx/36O3+eC5sz9O1VuzH399dfYsGGD9Lq2dvEbUGhoKIKCgmR64goLC5Gbm4vs7GxoaRV/mynpLfsYEhIS4OjoiJkzZ2L48OEAAIlEguzsbLlGWl5eHuzt7WWOVSWbjY0NnJ2d4eXlhaCgILnbo6Ki4O3tjZs3b+LVq1fSHrmEhASZxlzpHsA6deoAAOzs7GSOvXjxAkBxb190dDTc3Nzwww8/SM8pKCiAvr7sPK4Sixcvhlgsljk2Vrs5xum0qPRjrQ6dllao/8O3CP5mVrnnPd10XPrvrMcJKMovgLXfj4hdtAcsr+x5izWh+RJX5L3KwO2BPijMzUMDJwfY7/LEjd6/Ie9FOgAgZtUh6flvwuKgoiWCxaQBeJ2ehbZ+btLbrn6/7KPljN39vkcjIzwROcnp6P7nb9A2N0FW/AsINdTQbuUPeHU7Ejd+Wg+BihBNf/oWXXbNxPm+c1GUmw/zIZ1qJq9QAACI3n0RsfuvAABCwuJRp0sLWI7qjgeL9gMAIje9nzf5+nEiivIK0M7PFfcX7UdRXgHMPsh77SPlrderDYw7t8D5b34t85zSz+/Nd89vk5++ReddM3Hh3fP7MR3+JwzWprXLXCwBAEeuh6HfF80gUqt+NapRowZjw/ql0usDBzlX636GDRuAUSOHYIzzz3j0KBKtWrXAyuViPEtKxq5df8icq6qqisB9GyEQCPDz5NlV+j32gzpjyKLx0us7XP2qlbc0x/njUKepGTZ85yNzvPeM4dDU08bm0QuQlfYGLXp9gTHrp2LDMDGeRyT+69/7OaDSJP9Olf+ytbW1Fa5czczMhFgslvYYlaahoSHz8x9DVlYWBg4ciI4dO8LX11cmFwCcOHEC9evL9uR8OEm3qtnEYjGaNGmisETKgAEDYG5uji1btsDU1BRFRUWwtbVFXl6ezHmlV+wKBAKFx0oagiWPZcuWLejQoYPM/ZTMW/zQ7NmzMWPGDJljt6zHylzPT30DVlAoN7Ff3Vhf2mj5UN6LdAXnG0jP1+/QDGq19dDh7vuGv0BVBVY+Lqj/47e49cXPCu/3TXAUhGqq0DAzQU70M+SnvkGRgmwiY328LSPbW4XZ9JH3ovgbed7LdOl9lH586sb6ePMwHgBg9JUtjL9pg4tN3FD4bv7ZY6/tMOpmB9MRXRG37qjC3/06WIJGHkPx/O/7ONvzfQNARV1V+jtzS/1ODWN9pL/7nXKP491j1/jgsWgY6yH3hfxwX4nU4OK5mTqWdZAV/wINB3eCtpkxLvb3Ad59+70x6Xc4hm9G/d5tkXjkBp6eCUZK8Ps5ncJ3eTWqkDevEnlzk4vvKyPyqcw5GVHPoF2/VpmPKSVYAqGaKrTNjPEmOglJZ4JxrlTe//L5FZXKa9LFBjoWJhgUsUXmnI5bp+HVzXBcHroQDQd3gtYHz+/NSb9jUPhmmPZuiydHbpT5uADAUEcTKkIBUjKyZI6nvMlGbb3y35Ny3ubjzJ1w/NS/7PlSwZIniEtOw1K3/uXeV0WOHTuLW7fer1YXiYqH8uvUMcbz5y+kx+uY1EZI6EO5ny+xdPFc+C37HQcOFP8NhYWFw7xhA/wya7JMY66kIdewYQN802t4lXvlHp2/i4SQ96vxVdWL31d1jPXx5t17AFDcY/fsUVyF9zdIPBbNHdpgw3AxXj9/32Nq1NAEncf2xopvPJH8boVx0uMEWH7RFJ2ce+HQb9uqlJuQ6vjP5sy1adMGERERaNy4sdxFKCz716irF78hFBYWVvt3M8YwZswYFBUVYdeuXdJGEVDcgyYSiZCQkCCXy8xMfuVlVZiZmWHy5Mn49ddfZfKnpKQgIiICc+bMQY8ePdC8eXOkpaX9q98FFPfSmZqaIiYmRu6xlLWiWCQSQU9PT+ZSeogVAFh+Ad7cj4HBV+97BCEQwKCLHd7ciVR4vxl3I2XPB2DQtSUy3p2f/OcV3HWYibs9PaWXt0mpSPzfUTwYuVDRXQIAdFpYgBUWIf/V61LZYlHrq1JzfQQCGH1li/Qysr2+GyV7PoBa3VpKz8+Jf4G3yWkwKnWOio4m9Ns0xut350jnnH0wxxFFDIJyXs+6tubIT8tEXlomsuKSpZeMyKfISU5DnS7ve0RVdTRhZN8IKXeiFN4Xyy9E2v1YmJT6GQgEMOlii5S7in8GAAxsi0vmlDScVDVFYEVF0oZGyeMAA/DusRRk5SIzLll6KStvLftGeFVG3qJ3eet8kLdOF1u8epc3K/ElspNSodtIthdJ16ousp68KvMxGdqao6iwCLnvXhcFWbkKn1+TKj6/6RU8v+HrjuGcw2yc7/mr9AIAofN24/a04sUQKuU8v+W9VkqoqaqgecM6uBXxvoxJURHDrYgEtLQsu7cNAM4GRyCvoBDftm9e5jl//RMGm4Z10LRB2UOflZGZmYXo6Djp5dGjSCQlJcPh6y7Sc3R1ddC+vT1u3FQ8JA0Ur1Yt+mDlcmFhocznRElDrnFjS/TuMwKpqVV//3yblYuU+GTpJTnqCTJepMG61LxBkY4mzFo3Qnxw2X9PQHFDzrb3F9g8egHSnsgOK6u/W9XKPnivKCoqkvksIuVjjP0nl48pNTUVTk5O0NPTg4GBAdzc3KSdLIqULHRUdPnjj/dfXBTdHhgoX/aqPP/ZDhDe3t7o378/GjZsiO+++w5CoRChoaEICwvDggULyvw5c3NzCAQCHD9+HP369YOmpqbMnLzK8PHxwfnz53H27FlkZmZKn1x9fX3o6upi5syZmD59OoqKitClSxe8fv0aQUFB0NPTUzjPrCpmz56NLVu2IDY2FiNGjABQvDK3Vq1a2Lx5M+rVq4eEhIRyF0tUhVgshru7O/T19dGnTx+8ffsWd+7cQVpamlwPXFU83XQcTdf8jMzQaGTck6DBD99CqCXC88DiIbym6ybjbVIq4hbtBQA823ICLf8So/7E/kg9HwwTx87QbdUIUZ6bAAAFaZkoSJN9kbOCAuS/SENO9DMAgG7bJtBr0xjpQQ9RmJkDvXZNYOU7Fi8OXpGZlxa38QRs1/6EjJAYvL4nQcMf+0FFS4RngcULWGzXTULu81RIFha/+OM3n8IXh71hPvFbvDx/D/UcO0GvlRUezXy/EjF+8ylYTR+M7NjnyEl4gca/DMfb5DRpWZH0O1HIT8+E7bpJiF5xEEW5+WgwxgGaDU3w8lwwAMC4VxuoG+vj9d0oFObmo1a3lrCa6oi4/70fOi4tastpNJ/miDexz5GV8BK2v3yHnOR0PC1Vr6zrgdl4euoOoncUz7mL3HQK7ddMQFpoLFJDomH9Qx+oaokQ9+6xa5uboOGQTki6EIK81Ezo2zREa/EYvLz+GK8fFw/vJF95gJZzR8F+8VhItp+FQCBAsykDUVRQiJdBZU/QjtxyGjYV5O1+YDaenLoDybu8EZtOocOaCUgNjUVKSDSavssbG/h+sVHEhhNoMXMo0h8mIP1hPCyGfwXdxqYI+qF48VOtto1Rq01jvAh6hPzMHNRuZ43W4jGIP3gN+a8Vl+oAAMm75zfzXd4W7/I+q+D5/aKc57dkdfCHsp++ki5ueKHg+W1aiee3tO8d2mLuztOwMa8LW/O62PN3MHLe5mNQx+KGxxz/UzAx0IG7o+z83MP/hOHrVo1hoKOp8H4zc97iXHAEPIZ0r1SOqlq7bit+ne2OKEkM4uISIfbxxLNnyThy5Iz0nLOn9+PwkVP43wZ/AMDxE+cw28sdiYlP8fBRBFq3tsW0qT/CP6D471dVVRUH9m+GfWs7DBrsAhUVFdSpU1xzMDU1vdySVhW5tv0UHKY44lXcc6QmvkAvj2HISE7Dw7Pvywn9sOc3PDxzG//sLC6F4zjfFfaDOiHghxXIzcqBzrue3NyMbBS8zceL6Gd4FZuEIYvG48SiPchKewPbXl/Auosd/F0/3vSKEtnZOUh48kx6/emzZIRHRkNfTxf1ypm7yDfKUFbEyckJSUlJOHfuHPLz8zFu3Dj8+OOP2Lt3r8LzzczMkJQku4hp8+bNWLZsGfr27StzfMeOHejT5301iKquIfjPGnO9e/fG8ePH4evri6VLl0JNTQ3NmjXD+PHjy/25+vXrSxdPjBs3Ds7OzlUuvHv58mVkZmaiUyfZQok7duzA2LFjMX/+fBgbG2Px4sWIiYmBgYEB2rRpg19/LXseTGUZGRnhl19+kbkvoVCIwMBAuLu7w9bWFk2bNsXatWvRvXv3f/37xo8fDy0tLSxbtgyenp7Q1taGnZ1duWVcKuPlkX+gVksP5rNGFBcNfhiHsFELpT1kovq1ZeqAZdyJRPikNbD4ZRQsZ49GTmwSHo7zQ3Z45eeHsLx8GDt2hvnM4RCoqyE38QWebjqOJ5tkG0PJR65DvZYeGs0aBpGJAd48jEfwqCXSRQ4aH2R7fScSD35ah8ZeI2D960hkxz5HyNjlyAx/P2E57vejUNESwWb5D1DV00L6rQgEj1wiLSuSn/oGwaOWoPHsEWh3cC6EairIjHiCEJflyHxXCLYovxBm43qhqa8zIBAgO/Y5Irx34cnui4BAvkcmYv1xqGqJ0G6ZG9T0tPDqViSujl4qU8pEx6IOREbv6ys+OXoDolq6aDHrO+mQ4dXRS/H2Vca7DAWo85UtrMcXN0Kyn6XiyYnbeLz6sPQ+3kiScM1lBVp4DIHDMR+giCEtLA5XR/vJDEl+KLxUXnU9Lby8FYnLFeRNfJfXtlTey6XyAsWNRKFIDfbiMVA31Eb6wwRcHrkYWfHFQ3VFeQVoOKgjWngMgVBdDVmJLxG5+TQiNpW9kKbk+VXREqFtqef32gd5tct4fm3e5X39MB7XPshbkTeSJAS5rICNxxB8/e75TQ+Lw7UKnt/SerdrhrTMHGw4HoRXGdlo2sAY/5s8VLooIiktAwKhbC9PXHIq7kU/xYYpQxXdJQDg9N0IgAF9vmhW6cdTFcuW/w/a2lrY+D8/GBjoISjoNr4dMEZm0ZWVlTlq1zaSXp86bQ7EPrOwbu0imJjUwrNnydiydTfmL1gFAKhfvy4GDiheFBZ8R3YhUY+e3+HylevVzntp4zGoa4owdPF4aOhpIe52BLa5LEFBqddILfM60C71Gun0ffF864n7ZWuL7p+5AXf/vIKigkJsH+eHvr+MxNitnhBpi/AqPhkHPDYg/FJItbNWVlh4FFyn/CK97reu+EvroL49sXCOx0f//Z+Lx48f4/Tp09LSYQCwbt069OvXD8uXL4epqXzZHBUVFdStW1fm2F9//YXhw4fLdVoZGBjInVsVAkZLSD47V+oO4zpCleSyyhVe5ZPXQuXKXPGaS35RrmcX+HZ3t4pP4hHdvuKKT+KRGaZduY5QJQvvlD3VhI/Ualt99N9hqFO9XaQ+9DzloVwFB5FI9K83Gdi+fTs8PDxkpkwVFBRAQ0MDf/zxBwYPHlzhfdy9exft2rVDUFCQTOeTQCCAqakp3r59CysrK0ycOBHjxo2r0jA9b/dmJYQQQsjnoQjsP7ksXrwY+vr6MpfFixf/63zPnz+HiYnssLWqqiqMjIzw/HnZ28GVtm3bNjRv3lxuFNHX1xcHDhzAuXPnMHToUEyaNAnr1q2rUr7/bJiVEEIIIYRLiio4lNcr5+XlhaVLl5Z5O1A8xPpv5eTkYO/evZg7d67cbaWP2dvbIysrC8uWLYO7u3ul758ac4QQQgjh1H8146uqQ6oeHh7SbUTLYmVlhbp160prvpYoKChAampqpea6/fnnn8jOzoazc8X1GTt06ID58+fj7du3lX4s1JgjhBBCCKe4Ws1qbGwMY2PjCs/r2LEj0tPTcffuXbRtW7xd3cWLF1FUVCRX91WRbdu2YeDAgZX6XSEhITA0NKxSo5Qac4QQQggh5WjevDn69OmDH374ARs3bkR+fj4mT56MkSNHSleyPn36FD169MDOnTvRvn176c9KJBJcuXIFJ0/Kr8g/duwYkpOT8eWXX0JDQwPnzp3DokWLMHPmzCrlo8YcIYQQQjjFlGA7rz179mDy5Mno0aMHhEIhhg4dirVr10pvz8/PR0REBLKzZethbt++HQ0aNECvXvL7J6upqWH9+vWYPn06GGNo3LgxVq5cKbNlZ2VQaZLPEJUm+fioNMnHpVzPLpUm+dioNMnHVROlSTQ1zf+T+8nJUbx936eOeuYIIYQQwinqV/p3qM4cIYQQQogSo545QgghhHBKGebM8Rk15gghhBDCKRpm/XdomJUQQgghRIlRzxwhhBBCOEU9c/8ONeYIIYQQwilqyv07NMxKCCGEEKLMGCH/gdzcXDZv3jyWm5vLdZRKUba8jClfZsr7cVHej4vyEmVCO0CQ/0RGRgb09fXx+vVr6OnpcR2nQsqWF1C+zJT346K8HxflJcqEhlkJIYQQQpQYNeYIIYQQQpQYNeYIIYQQQpQYNebIf0IkEmHevHkQiURcR6kUZcsLKF9myvtxUd6Pi/ISZUILIAghhBBClBj1zBFCCCGEKDFqzBFCCCGEKDFqzBFCCCGEKDFqzBFCCCGEKDFqzJFqS09Px9atWzF79mykpqYCAIKDg/H06VOOkxGuREdHY86cORg1ahRevHgBADh16hQePnzIcbKySSQSnDlzBjk5OQAAWhNGlMWuXbvQuXNnmJqaIj4+HgCwevVqHDlyhONkpKZRY45Uy/3799GkSRMsXboUy5cvR3p6OgDg0KFDmD17NrfhCCcuX74MOzs73Lx5E4cOHUJmZiYAIDQ0FPPmzeM4nbyUlBT07NkTTZo0Qb9+/ZCUlAQAcHNzg4eHB8fpCCnfhg0bMGPGDPTr1w/p6ekoLCwEABgYGGD16tXchiM1jhpzpFpmzJiBsWPHIioqChoaGtLj/fr1w5UrVzhM9unKzc3lOkK5vLy8sGDBApw7dw7q6urS4w4ODrhx4waHyRSbPn06VFVVkZCQAC0tLenxESNG4PTp0xwmI3xS8kWVb9atW4ctW7bgt99+g4qKivR4u3bt8ODBAw6TES6och2AKKfbt29j06ZNcsfr16+P58+fc5Do01RUVISFCxdi48aNSE5ORmRkJKysrDB37lxYWFjAzc2N64hSDx48wN69e+WOm5iY4NWrVxwkKt/Zs2dx5swZNGjQQOa4tbW1dMiKbwoLC+Hv748LFy7gxYsXKCoqkrn94sWLHCVTjDGGP//8E3///bfCvIcOHeIomWJLly6FhYUFRowYAQAYPnw4Dh48iLp16+LkyZNo1aoVxwnfi42Nhb29vdxxkUiErKwsDhIRLlHPHKkWkUiEjIwMueORkZEwNjbmIFH5duzYgezsbK5jVNmCBQvg7+8PPz8/md4uW1tbbN26lcNk8gwMDKRDlaXdu3cP9evX5yBR+bKysmR65Eqkpqbytor+1KlTMXXqVBQWFsLW1hatWrWSufDNtGnT8P333yM2NhY6OjrQ19eXufDNxo0bYWZmBgA4d+4czp07h1OnTqFv377w9PTkOJ0sS0tLhISEyB0/ffo0mjdvXvOBCLcYIdXg5ubGHB0dWV5eHtPR0WExMTEsPj6e2dvbs6lTp3IdT46JiQnT1dVlrq6uLCgoiOs4ldaoUSN2/vx5xhhjOjo6LDo6mjHG2OPHj5mBgQGX0eR4eHiwLl26sKSkJKarq8uioqLYtWvXmJWVFfPx8eE6npy+ffuyOXPmMMaY9DVcWFjIhg0bxoYOHcpxOsVq1arFTpw4wXWMSjM0NFSqvBoaGiwhIYExxpi7uzv78ccfGWOMRURE8O7vbcuWLax+/fosMDCQaWtrs3379rEFCxZI/00+L9SYI9WSnp7OevbsyQwMDJiKigozMzNjampqrGvXriwzM5PreHLy8/PZoUOH2MCBA5mamhpr2rQpW7JkCUtKSuI6Wrk0NDRYXFwcY0y2Mffw4UOmra3NZTQ5b9++ZePHj2eqqqpMIBAwNTU1JhQK2ZgxY1hBQQHX8eQ8ePCAmZiYsD59+jB1dXX23XffsebNm7M6deowiUTCdTyF6tWrxyIiIriOUWkWFhbs8ePHXMeotHr16km/7DVp0oQdOHCAMcZYeHg409XV5TKaQrt372aNGzdmAoGACQQCVr9+fbZ161auYxEO0N6s5F8JCgpCaGgoMjMz0aZNG/Ts2ZPrSBVKTk7G7t27ERAQgPDwcPTp0wdubm4YMGAAhEJ+zTxo27Ytpk+fjjFjxkBXVxehoaGwsrKCr68vzp07h6tXr3IdUU5CQgLCwsKQmZkJe3t7WFtbcx2pTK9fv8bvv/8u8xr++eefUa9ePa6jKbRixQrExMTg999/h0Ag4DpOhQICAnD69Gls374dmpqaXMep0OTJk3H8+HFYW1vj3r17iIuLg46ODgIDA+Hn54fg4GCuIyqUnZ2NzMxMmJiYcB2FcIQac6TK8vPzoampiZCQENja2nIdp1pu3ryJ7du3IyAgAPXq1UNaWhoMDQ2xY8cOdO/enet4UkeOHIGLiwtmz54NX19fiMViREREYOfOnTh+/Di++eYbriMqVPK2ogwNDmUyePBg/P333zAyMkKLFi2gpqYmczvfFhTk5ORg8ODBCAoKgoWFhVxevjWO8vPzsWbNGiQmJmLs2LHSBQarVq2Crq4uxo8fz3FCQhSj1aykytTU1NCwYUNpXSNlkZycjF27dmHHjh2IiYmBo6Mjjh8/jp49eyIrKwu+vr5wcXHh1UrGQYMG4dixY/D19YW2tja8vb3Rpk0bHDt2jJcNuW3btmHVqlWIiooCULwydNq0abz9EExLS8O2bdvw+PFjAICNjQ3GjRsHIyMjjpMpZmBggMGDB3Mdo9JcXFxw9+5djBkzBnXq1OF9415NTQ0zZ86UOz59+nQO0pQvJSUF3t7eZa4ULinkTj4P1DNHqmXbtm04dOgQdu3axdsPvtIGDBiAM2fOoEmTJhg/fjycnZ3lcr948QJ169aVe1PkSkFBARYtWgRXV1e58hl85O3tjZUrV2LKlCno2LEjAOD69ev4/fffMX36dPj6+nKcUNaVK1cwYMAA6Ovro127dgCAu3fvIj09HceOHUPXrl05Tqj8tLW1cebMGXTp0oXrKJWyc+fOcm93dnauoSQV69evHyQSCdzc3BQ2lF1cXDhKRrhAjTlSLfb29pBIJMjPz4e5uTm0tbVlbufb8ImbmxvGjx8vbWQowhhDQkICzM3NazBZ+XR0dBAWFgYLCwuuo1TI2NgYa9euxahRo2SO79u3D1OmTOFdrTk7Ozt07NgRGzZskBZdLSwsxKRJk/DPP//wtvBqQUEBLl26hOjoaIwePRq6urp49uwZ9PT0oKOjw3U8Gc2aNcOBAwfQsmVLrqNUiqGhocz1/Px8ZGdnQ11dHVpaWrzq7dLV1cW1a9d4WZKG1DwaZiXV4ujoyHWEKunWrRvatGkjdzwvLw+BgYFwdnaGQCDgVUMOAHr06IHLly8rRWMuPz9f2sNVWtu2bVFQUMBBovJJJBL8+eefMtXzVVRUMGPGjAp7aLgSHx+PPn36ICEhAW/fvsU333wDXV1dLF26FG/fvsXGjRu5jihjxYoVmDVrFjZu3KgUr+G0tDS5Y1FRUfjpp594V2euWbNm0v2ECaGeOfJZUFFRQVJSktxqr5SUFJiYmPB2/t/GjRshFovh5OSEtm3byvWADhw4kKNk8qZMmQI1NTWsXLlS5vjMmTORk5OD9evXc5RMsc6dO8PT01Pui8nhw4exZMkSXm5B5ujoCF1dXWzbtg21atWSrm6+dOkSfvjhB+lcRb4wNDREdnY2CgoKoKWlJbcAgk89XeW5c+cOxowZg/DwcK6jSN2+fRteXl7w9vaGra2t3HOrp6fHUTLCBeqZI58FxpjCyddPnjzhZSX6EpMmTQIAuQYSULxSlG+N0G3btuHs2bP48ssvARSvGk5ISICzszNmzJghPU/R46lp7u7umDp1KiQSiTTvjRs3sH79eixZsgT379+XnsuXYcKrV6/in3/+kdkNBAAsLCzw9OlTjlKV7VPZ8F1VVRXPnj3jOoYMAwMDZGRkwMHBQeZ4yXsd394byMdFjTlSLUKhsNyVaXx5I7G3t4dAIIBAIECPHj2gqvr+JV9YWIjY2Fj06dOHw4Tl48tijMoICwuTDmVHR0cDAGrXro3atWsjLCxMeh5fVjSWzO2bNWuWwtsEAgHvPhiLiooUZnny5Al0dXU5SFQ+ZZuEf/ToUZnrjDEkJSXh999/R+fOnTlKpZiTkxPU1NSwd+9epVgpTD4uasyRavnrr79krufn5+PevXsICAiAWCzmKJW8kiG0kJAQ9O7dW2aCuLq6OiwsLDB06FCO0n1a/v77b64jVElsbCzXEaqsV69eWL16NTZv3gyguGGcmZmJefPmoV+/fhynk5eQkFDu7Q0bNqyhJJXz4ZC7QCCAsbExHBwcsGLFCm5ClSEsLAz37t1D06ZNuY5CeIDmzJH/1N69e7F//34cOXKE6ygyAgICMGLECGhoaHAdpUoqKufh7e1dQ0kqtmPHDowcOVIpKv0DQFZWltwcRL578uQJevfuDcYYoqKi0K5dO0RFRaF27dq4cuUK73YAUJYefGXUtWtXeHt7K8WuO+Tjo8Yc+U/FxMSgZcuWyMzM5DrKJ6GkAn2J/Px8xMbGQlVVFY0aNeJVCZg6deogJycHw4YNg5ubGzp16sR1pHLp6Ohg+PDhcHV1VZo6aEBxaZLAwEDcv39fugWZk5MTLxvRoaGhMtdLevBXrlyJhQsXYsiQIRwlqxjfdzH5448/4OPjA09PT9jZ2cktgODLPE9SM6gxR/4zOTk5mD17Nk6dOoWIiAiu48DIyAiRkZGoXbs2DA0Ny31TVpZVdQCQkZGBsWPHYvDgwfj++++5jiNVUFCAY8eOwd/fH6dOnYKVlRXGjRsHFxcX1K1bl+t4cg4fPgx/f3+cPHkSFhYWcHV1hbOzM0xNTbmO9sk7ceIEli1bhkuXLnEdRc7OnTuxbNky6crgJk2awNPTk1d/awAU7iPNx3mepGZQY45Uy4eNI8YY3rx5Ay0tLezevZsXJTMCAgIwcuRIiEQi+Pv7l9uYU7aJ2g8ePMCAAQMQFxfHdRSFkpOTsXv3bgQEBCA8PBx9+vSBm5sbBgwYoPBDiEsvX77Erl274O/vj8ePH6N3795wdXXFwIEDZRbM8MGHE/RLCAQCaGhooHHjxrC0tKzhVFUnkUjQqlUrZGVlcR1FxsqVKzF37lxMnjxZuuDh2rVrWL9+PRYsWMCrbb0q2naQbzUzycdFjTlSLR82joRCIYyNjdGhQwe5Kurkv3ft2jUMGDBAYZFTvrh58ya2b9+OgIAA1KtXD2lpaTA0NMSOHTvQvXt3ruMptG7dOnh6eiIvLw+1a9fGxIkT4eXlBS0tLa6jAXg/B+3Dt+3SPTJdunTB4cOHefF3mJGRIXO9ZHWoj48PwsPDERISwk2wMlhaWkIsFstt2xUQEAAfHx+lXDRDPg/8+tpJlIaDgwPMzMwU9nYlJCTwYpXahx8k5eFrgc21a9fKXC/5MNy1axf69u3LUaqyJScnY9euXdixYwdiYmLg6OiI48ePo2fPnsjKyoKvry9cXFwq7FWoScnJyQgICIC/vz/i4+Px3Xffwc3NDU+ePMHSpUtx48YNnD17luuYAIBz587ht99+w8KFC9G+fXsAwK1btzB37lzMmTMH+vr6mDBhAmbOnIlt27ZxnLa4FtqH7xGMMZiZmSEwMJCjVGVLSkpSONezU6dOSEpK4iBRxR49eoSEhATk5eXJHOfD6AipQYyQahAKhSw5OVnu+KtXr5hQKOQgkTyBQMCEQmGlLnxlYWEhc7GysmIdOnRgs2fPZhkZGVzHY4wxZmlpyV69esX69+/P1NTUWIsWLdiqVatYSkqK3LnJyclMIBBwkPI9sVjMsrKy2MGDB6WZW7VqxdatW8fS0tJkzpVIJExNTY2boAq0aNGCBQUFyR2/du0as7GxYYwxdu7cOWZmZlbT0RS6dOmSzOXKlSvs8ePHLD8/n+toCrVo0YItXLhQ7vj8+fOZra0tB4nKFh0dzVq2bCl9nxMIBDLveeTzQj1zpFpYGaPzmZmZvCn/UbruWVxcHLy8vDB27Fh07NgRAHD9+nUEBARg8eLFXEWskDIM68THx6OwsBAmJia4fPmy9PlVxNjYmPPHJBaLMXHiRIwbNw4jR45EUFAQvvjiC4Xnmpqa4rfffqvhhGWLjo5W2Iusp6eHmJgYAIC1tTVevXpV09EU6tatG9cRqkQsFmPEiBG4cuWKdM5cUFAQLly4gAMHDnCcTtbUqVNhaWmJCxcuwNLSErdu3UJKSgo8PDywfPlyruORGkZz5kiVlGzJtGbNGvzwww8yc4kKCwtx8+ZNqKioICgoiKuICvXo0QPjx4+XVv0vsXfvXmzevJmXq+oAwNXVFWvWrJGr7p+VlYUpU6Zg+/btHCV7TygU4vnz57yrcVaWkrw6Ojq8mQtXWV26dIGuri527twJY2NjAMULOJydnZGVlYUrV67g/Pnz+PnnnzlbUX706FH07dsXampqZS7YKMHHocDg4GCsXLkSjx8/BgA0b94cHh4ecmWCuFa7dm1cvHgRLVu2hL6+Pm7duoWmTZvi4sWL8PDwwL1797iOSGoQNeZIlXz99dcAIO2BKb1HZMmOCjNnzoS1tTVXERXS0tJCaGioXK7IyEi0bt0a2dnZHCUrn4qKCpKSkuQaSq9evULdunVRUFDAUbL3hEIhAgICKtzjli8f3EKhEMnJydLGkDKJiIjAoEGDEBsbCzMzMwBAYmIirKyscOTIETRp0gSHDx/GmzdvOCulUbpxX97KZb6Vz8jPz8eECRMwd+5cpVgRbGhoiODgYFhaWqJRo0bYunUrvv76a0RHR8POzo6372nk46BhVlIlJUOX48aNw5o1a3i7cOBDZmZm2LJlC/z8/GSOb926VfqhyCcZGRlgjElLvpQeui4sLMTJkyd51RNWUWkXvn1wN2nSpMJisHysPdi0aVM8evQIZ8+eRWRkpPTYN998I204fbglVU0rvZ+wMu0trKamhoMHD2Lu3LlcR6kUW1tbhIaGwtLSEh06dICfnx/U1dWxefNmWFlZcR2P1DDqmSOfhZMnT2Lo0KFo3LgxOnToAKB4FWBUVBQOHjzIu30tK9oGSSAQQCwW82I+lzIOs65evbrCnkRlqz2oLNLT02FgYMB1DIVcXFzQunVrXtWTK8uZM2eQlZWFIUOGQCKRoH///oiMjEStWrWwf/9+ODg4cB2R1CBqzJFqu3PnDg4cOKBwWfyhQ4c4SlW2xMREbNiwAeHh4QCK58JMnDiRlz1zly9fBmMMDg4OOHjwIIyMjKS3qaurw9zcnDc7FZQ1FMxXytb4/NDly5exfPly6ZwuGxsbeHp64quvvuI4mbylS5fCwsICI0aMAAAMGzYMBw8eRL169XDy5Em0atWK44SyFixYgBUrVqBHjx5o27at3N697u7uHCWrnNTU1Ap3uyGfJmrMkWoJDAyEs7MzevfujbNnz6JXr16IjIxEcnIyBg8ejB07dnAd8ZMQHx+Phg0b8vrNWdkaR8rW+Cxt9+7dGDduHIYMGSKzQ0HJ1mSjR4/mOKEsS0tL7NmzB506dcK5c+cwfPhw7N+/X/olkC/1+0qUN1dOIBBIVwwTwjfUmCPV0rJlS0yYMAE///wzdHV1pXM3JkyYgHr16kEsFnMdEffv34etrS2EQiHu379f7rl83ZT69OnT0NHRkW4Ev379emzZsgU2NjZYv349L6r8jxs3DmvXrpVbcctXytb4LK158+b48ccf5YYBV65ciS1btkh76/hCU1MTkZGRMDMzw9SpU5Gbm4tNmzYhMjISHTp04PUOJnzl6upa4TkCgYAXRaNJzaHGHKkWbW1tPHz4EBYWFqhVqxYuXboEOzs7PH78GA4ODryolv7hqjpF2yAB/JucX5qdnR2WLl2Kfv364cGDB2jXrh08PDzw999/o1mzZtQD+pkRiUR4+PAhGjduLHNcIpHA1tYWubm5HCVTzNTUFH/++Sc6deqEpk2bYsGCBRg2bBgiIiLwxRdfVGmXlppW8l7Bt17xwYMHl3lbYWEhzp8/j7dv3/L2PY18HLSalVSLoaEh3rx5AwCoX78+wsLCYGdnh/T0dN4siY+NjZWWn+C6UG11xcbGwsbGBgBw8OBBDBgwAIsWLUJwcDDvFm2Qj8/MzAwXLlyQa8ydP3+el3M/hwwZgtGjR8Pa2hopKSnSLeju3bsn9xj4YufOnVi2bBmioqIAFK989vT05KzUy4f++usvhcePHDmCX3/9FSKRCN7e3jWcinCNGnOkWrp27Ypz587Bzs4Ow4YNw9SpU3Hx4kWcO3cOPXr04DoeAMDc3Fzhv5WJurq6tHF8/vx56QbgRkZGvO7VIB+Hh4cH3N3dERISIt1DNCgoCP7+/lizZg3H6eStWrUKFhYWSExMhJ+fH3R0dAAU74E6adIkjtPJW7lyJebOnYvJkyfLzEmcOHEiXr16xctVrkFBQfDy8kJwcDAmT54MLy8vXky/IDWLhllJtaSmpiI3NxempqYoKiqCn58f/vnnH1hbW2POnDm8fDN59uwZrl27hhcvXsjVv+LrKrWBAwciLy8PnTt3xvz58xEbG4v69evj7NmzmDx5srTWGPl8/PXXX1ixYoXMDgWenp4YNGgQx8mUn6WlJcRisfRLU4mAgAD4+Pjwqof/0aNH+OWXX3D69Gk4OztDLBajQYMGXMciHKHGHKmygoIC7N27F71790adOnW4jlMp/v7+mDBhAtTV1VGrVi2ZeTB8XqWWkJCASZMmITExEe7u7nBzcwMATJ8+HYWFhVi7di3HCUlNKSgowKJFi+Dq6qo0H9oBAQGoXbs2vv32WwDArFmzsHnzZtjY2GDfvn286zHX0NBAWFiY3BBwVFQU7OzseDEnMTExEd7e3ti9ezf69++PRYsWoXnz5lzHIhyjxhypFi0tLTx+/Jh3b8ZlMTMzw8SJEzF79uxytxgiVTNkyJBKn8vH2oMRERFYt26dTC/XlClT0LRpU46TKaajo4OwsDBYWFhwHaVSmjZtig0bNsDBwQHXr19Hz549sWrVKhw/fhyqqqq8e03Y2tpi9OjR+PXXX2WOL1iwAPv378eDBw84SvaelpYWBAKBzFCwInzZPo/UDJozR6qlffv2CAkJUZrGXHZ2NkaOHKkUDbmMjAzpNmkVzYvjeju1inZR4LODBw9i5MiRaNeuHTp27AgAuHHjBmxtbREYGIihQ4dynFBejx49cPnyZaVpzCUmJkp7uQ4fPoyhQ4fixx9/ROfOndG9e3duwykgFosxYsQIXLlyRdpQCgoKwoULF3DgwAGO0xUr6R1ctmwZli1bpvAcPq/QJx8H9cyRajlw4ABmz56N6dOnK6yUzre6bbNmzYKRkRG8vLy4jlKh0kVty9rWizFGb9j/UqNGjeDk5ARfX1+Z4/PmzcPu3bsRHR3NUbKybdy4EWKxGE5OTgr/7vjWG2NiYoIzZ87A3t4e9vb2mDFjBr7//ntER0ejVatWyMzM5DqinLt372LVqlUyvbUeHh6wt7fnOBkhZaPGHKkWRT1cJXXc+NjIKCwsRP/+/ZGTkwM7OzuoqanJ3L5y5UqOksm7fPkyOnfuDFVVVVy+fLncc7t161ZDqT49WlpauH//vsL5Ua1ateJNiZ3SyutZ5uPfnZOTE8LDw2Fvb499+/YhISEBtWrVwtGjR/Hrr78iLCyM64iEfBJomJVUC59WdVXG4sWLcebMGelcqA8XQPBJ6QYa3xtrbdq0wYULF2BoaAh7e/tyn8vg4OAaTFax7t274+rVq3KNuWvXrvFyn1MAcquw+W79+vWYM2cOEhMTcfDgQdSqVQtAce/XqFGjOE6nWFFRESQSicJV7127duUoFSHlo5458lkwNDTEqlWrMHbsWK6jVFl6ejq2bdsmHfZp0aIFXF1deTFfTSwWw9PTE1paWhVu4TZv3rwaSlU5GzduhLe3N4YPH44vv/wSQPGcuT/++ANisRimpqbSc/kyfLlz506MGDECIpFI5nheXp50v2RSfTdu3MDo0aMRHx8vt1sMH3s+CSlBjTnyrzx69AgJCQnIy8uTOc6XD78SdevWxdWrV2Ftbc11lCq5c+cOevfuDU1NTbRv3x4AcPv2beTk5ODs2bNo06YNxwmVV2UXw/DpQ7z0fMrSUlJSYGJiwpucH8rOzlb4PsG3ubWtW7dGkyZNIBaLUa9ePbmeZj58gSJEEWrMkWqJiYnB4MGD8eDBA5k9T0ve/Pj2obJ48WIkJSUpXV22r776Co0bN8aWLVugqlo8K6KgoADjx49HTEwMrly5wnFCeXfv3pXpRaSJ4/8doVCI5ORk6TZ1JUJDQ/H1118jNTWVo2SKvXz5EmPHjsXp06cV3s639wltbW2EhobydquxEoWFhQgKCkLLli1hYGDAdRzCAzRnjlTL1KlTYWlpiQsXLsDS0hK3bt1CSkoKPDw8sHz5cq7jybl16xYuXryI48ePo0WLFnILIPhW76rEnTt3ZBpyAKCqqopZs2ahXbt2HCaT9+LFC4wcORKXLl2SfsCkp6fj66+/RmBgoFwDhFReyXxEgUCAHj16yLweCgsLERsbiz59+nCYULFp06bh9evXuHnzJrp3746//voLycnJWLBgAVasWMF1PDkdOnSARCLhfWNORUUFvXr1wuPHj6kxRwBQY45U0/Xr13Hx4kXUrl0bQqEQQqEQXbp0weLFi+Hu7o579+5xHVGGgYFBlQrc8oWenh4SEhLQrFkzmeOJiYnQ1dXlKJViU6ZMwZs3b/Dw4UNpRfpHjx7BxcUF7u7u2LdvH8cJ5V2+fBnLly+X9iTa2NjA09OTdwsgHB0dAQAhISHo3bu3dI9ToHj/XgsLC17Wxbt48SKOHDmCdu3aQSgUwtzcHN988w309PSwePFi6c4QXLp//77031OmTIGHhweeP3+ucNU7n4aFbW1tERMTA0tLS66jED5ghFSDgYEBi4mJYYwxZmVlxS5evMgYY0wikTBNTU0uo31SpkyZwho0aMACAwNZQkICS0hIYPv27WMNGjRgU6dO5TqeDD09PXbr1i254zdv3mT6+vo1H6gCu3btYqqqqmz48OFszZo1bM2aNWz48OFMTU2N7dmzh+t4Cvn7+7OcnByuY1Sarq4ui42NZYwx1rBhQ3bt2jXGGGMxMTG8eZ8QCARMKBQygUCg8FJym1Ao5DqqjFOnTrHWrVuzY8eOsWfPnrHXr1/LXMjnhXrmSLXY2toiNDQUlpaW6NChA/z8/KCuro7NmzfDysqK63ifjOXLl0MgEMDZ2RkFBQVgjEFdXR0//fQTlixZwnU8GUVFRXI9GQCgpqbGy5IaCxcuhJ+fH6ZPny495u7ujpUrV2L+/PkYPXo0h+kUc3Fx4TpClTRt2hQRERGwsLBAq1atsGnTJlhYWGDjxo2oV68e1/EAKF+ZpRL9+vUDULzYrPRCDcbTWp/k46IFEKRazpw5g6ysLAwZMgQSiQT9+/dHZGQkatWqhf3798PBwYHriDIsLS3LrYEWExNTg2mqLjs7W7ojQaNGjaClpcVxInmDBg1Ceno69u3bJy3r8fTpUzg5OcHQ0BB//fUXxwlliUQiPHz4UG5+lEQiga2tLS82VQcAIyMjREZGonbt2jA0NCz3dcy3BRC7d+9GQUEBxo4di7t376JPnz5ITU2Furo6/P39MWLECK4jKi0qKE5Ko545Ui29e/eW/rtx48YIDw9HampqhR82XJk2bZrM9fz8fNy7dw+nT5+Gp6cnN6HK4erqWqnztm/f/pGTVN7vv/+OgQMHwsLCAmZmZgCK5/bZ2tpi9+7dHKeTZ2ZmhgsXLsg15s6fPy/NzwerVq2Szo9ctWoVL/++yjJmzBjpv9u2bYv4+HiEh4ejYcOGqF27NofJyhYREYF169bJbOc1ZcoUacFxvqDGGimNeubIv5aYmAgAvPoArKz169fjzp072LFjB9dRZJRMFre3t5crXloa33q7GGM4f/48wsPDARR/EPbs2ZPjVIpt2LAB06ZNg6urKzp16gSgeFN1f39/rFmzBhMmTOA4ofLz9fXFzJkz5XqSc3JysGzZMnh7e3OUTLGDBw9i5MiRaNeuHTp27AiguJDw7du3ERgYyLtFJlevXsWmTZsQExODP/74A/Xr18euXbtgaWmJLl26cB2P1CTupusRZZafn8/mzJnD9PT0mFAoZEKhkOnp6bHffvuN5eXlcR2v0qKjo5muri7XMeRMmjSJGRoastatW7M1a9awlJQUriN9kg4dOsQ6d+7MjIyMmJGREevcuTM7fPgw17HklEzAL++ioqLCdUw5QqGQJScnyx1/9eoV7xYUMFa8mGvu3Llyx729vZmVlRUHicr2559/Mk1NTTZ+/HgmEolYdHQ0Y4yxdevWsb59+3KcjtQ06pkj1fLTTz/h0KFD8PX1lX6DvX79Onx8fODo6IgNGzZwnLBy/Pz88L///Q9xcXFcR5Hz9u1bHDp0CNu3b8c///yDb7/9Fm5ubujVqxevhtquX7+OlJQU9O/fX3ps586dmDdvHrKysuDo6Ih169bJbUHFpYKCAixatAiurq5o0KAB13EqdOTIkTJvu379OtauXYuioiLezPMrUVaR44sXL2LEiBF4+fIlR8kU09LSwv379+WG3qOiotCqVStkZ2dzlEyevb09pk+fDmdnZ+jq6iI0NBRWVla4d+8e+vbti+fPn3MdkdQkrluTRDnp6emxkydPyh0/ceIE09PT4yBR+Vq3bs3s7e2ll9atW7O6desyFRUVtmnTJq7jVSguLo75+PgwKysr1rBhQ/bmzRuuI0n16dOHLVmyRHr9/v37TFVVlY0fP56tWLGC1a1bl82bN4+7gGXQ1taWls1QRuHh4czR0ZGpqKgwZ2dnFhcXx3UkKQMDA2ZoaMiEQqH03yWXkt78SZMmcR1TTt++fdn27dvljm/fvp316tWLg0Rl09TUlL5+dXR0pD1z0dHRTCQScZiMcIEWQJBqEYlEsLCwkDtuaWkJdXX1mg9UgZKiqyWEQiGMjY3RvXt3uYK8fCQUCqXbpvGt5EBISAjmz58vvR4YGIgOHTpgy5YtAIrnUs6bNw8+Pj4cJVSsR48euHz5ssLXMZ89e/YM8+bNQ0BAAHr37o2QkBDY2tpyHUvG6tWrwRiDq6srxGKxzJ6mJUWOS3r0+WTgwIH45ZdfcPfuXXz55ZcAiufM/fHHHxCLxTh69KjMuVyqW7cuJBKJ3Ov32rVrVB7qc8R1a5IoJ7FYzEaNGsVyc3Olx3Jzc5mTkxPz8fHhMNmnIzc3l+3du5f17NmTaWhosO+++46dOHGCFRYWch1NhkgkYgkJCdLrnTt3ZgsWLJBej42NZTo6OlxEK9eGDRtY3bp1mYeHB9u7dy87cuSIzIVv0tPT2axZs5impibr2LEju3LlCteRKnTp0iWlmkNbVuFgRYWEubZo0SJmY2PDbty4wXR1ddnVq1fZ7t27mbGxMVu7di3X8UgNozlzpFoGDx6MCxcuQCQSoVWrVgCKN/vOy8tDjx49ZM7lct/TjIyMSp2np6f3kZNUzaRJkxAYGAgzMzO4urrCycmJt6UczM3NsWvXLnTt2hV5eXkwMDDAsWPHpK+DBw8eoFu3bryrgSYUCsu8jW9FV/38/LB06VLUrVsXixYtwqBBg7iOVGmFhYU4fPiwtNRHixYtMHDgQKioqHCcTLkxxrBo0SIsXrxYOpdPJBJh5syZMj3l5PNAjTlSLePGjav0uVyW/SgZniwL42m1dKFQiIYNG0o3WC8Llw3lEj/99BNCQ0OxdOlSHD58GAEBAXj27Jl0uH3Pnj1YvXo1bt++zXFS5SUUCqGpqYmePXuW2wjiw+uhNIlEgn79+uHp06fSOm0REREwMzPDiRMn0KhRI44TViw9PZ3Xm9nn5eVBIpEgMzMTNjY2Mvv2ks8HzZkj1cK3umxl+fvvv6X/ZoyhX79+2Lp1K+rXr89hqoo5OzvzasVqeebPn48hQ4agW7du0NHRQUBAgMy8ye3bt6NXr14cJlR+yvR6KM3d3R2NGjXCjRs3YGRkBABISUnBmDFj4O7ujhMnTnCcUNbSpUthYWEh3Zli2LBhOHjwIOrVq4eTJ09KRyH4YOfOnfjiiy/QvHlz2NjYSI/n5ubiwIEDcHZ25jAdqWnUM0c+K6WX8JP/1uvXr6GjoyPXc5SamgodHR3eLIy5ePEiJk+ejBs3bsgNr79+/RqdOnXChg0b0LVrV44Sfjq0tbVx48YN2NnZyRwPDQ1F586dkZmZyVEyxSwtLbFnzx506tQJ586dw/Dhw7F//34cOHAACQkJOHv2LNcRpYRCIbS1teHv7y9TzDg5ORmmpqa8G20gH1fZk0YIKUdKSgp+/vln2NjYoHbt2jAyMpK5kM+Pvr6+wiFAIyMj3jTkgOKVlj/88IPCeZL6+vqYMGECVq1axUGyT49IJMKbN2/kjmdmZvLqNVHi+fPn0p1sjh8/juHDh6NXr16YNWsWL6cJiMVifP/997xbKU5qHg2zkmr5/vvvIZFI4Obmhjp16ijlEBD5PJXM7ytLr169sHz58hpM9Onq378/fvzxR2zbtg3t27cHANy8eRMTJ07kvLSHIoaGhkhMTISZmRlOnz6NBQsWAAAvSwIBxXvfdurUCYMHD0ZYWBh27drFdSTCEWrMkWq5evUqrl27xqs5JJVFDc/PW3JyMtTU1Mq8XVVVlXc7EyirtWvXYuzYsejUqRNUVYs/bgoKCjBw4ECsWbOG43TyhgwZgtGjR8Pa2hopKSno27cvAODevXtyu0JwreR97Msvv8TNmzcxcOBAdOrUCRs3buQ4GeECNeZItTRr1gw5OTlcx6jQkCFDZK7n5uZi4sSJ0NbWljnOt1WA5OOpX78+wsLCyvxwvn//PurVq1fDqT4tRUVFWLZsGY4ePYq8vDw4OjrCxcUFAoEAzZs3513DqMSqVatgYWGBxMRE+Pn5SVeGJiUlYdKkSRynk1V6unvDhg3xzz//wMnJCd988w2HqQhXaAEEqZbbt2/Dy8sL3t7esLW1levp4EvdtsqWUFGW1bnk35syZQouXbqE27dvQ0NDQ+a2nJwctG/fHl9//TXWrl3LUULlN3/+fPj4+KBnz57Q1NTEmTNnMGrUKGzfvp3raJ8MsVgMT09PaGlpyRyfN28erly5IrOSn3z6qDFHqiUqKgqjR49GcHCwzHG+1m0jpERycjLatGkDFRUVTJ48WVr/LDw8HOvXr0dhYSGCg4NRp04djpMqL2tra8ycORMTJkwAAJw/fx7ffvstcnJyyi3WzAfR0dFYvXq1tMixjY0Npk2bRivgCa9RY45US/v27aGqqoqpU6cqXADRrVs3jpIRUrH4+Hj89NNPOHPmjHS4SiAQoHfv3li/fj0sLS05TqjcRCIRJBKJdGUoAGhoaEAikaBBgwYcJivfmTNnMHDgQLRu3RqdO3cGAAQFBSE0NBTHjh3jfAjz6NGj6Nu3L9TU1GT2if2QQCDAgAEDajAZ4Ro15ki1aGlp4d69e9JeDUKUUVpaGiQSCRhjsLa2hqGhIdeRPgkqKip4/vw5jI2Npcd0dXVx//59XjeU7e3t0bt3byxZskTmuJeXF86ePSs3ElHThEIhnj9/DhMTE6Xajo58fNSYI9XStWtXeHt7o2fPnlxHIYTwjFAoRN++fSESiaTHjh07BgcHB5nFR3xbeKShoYEHDx7A2tpa5nhkZCRatmyJ3NxcjpIRUj5azUqqZcqUKZg6dSo8PT1hZ2cntwCiZcuWHCUjhHDNxcVF7tiYMWM4SFI1xsbGCAkJkWvMhYSEwMTEhKNUhFSMeuZItSjq4hcIBLQAghCitHx9fbFq1Sp4eXmhU6dOAIrnzC1duhQzZszA3LlzOc1XlRXW7u7uHzEJ4RtqzJFqiY+PL/d2c3PzGkpCCCH/DcYYVq9ejRUrVuDZs2cAAFNTU3h6esLd3Z3zguOVnW8oEAgQExPzkdMQPqHGHCGEEPKBkj1ldXV1OU5CSMX4XfCH8NquXbvQuXNnmJqaSnvqVq9ejSNHjnCcjBBC/h1dXV1qyBGlQQsgSLVs2LAB3t7emDZtGhYuXCidI2dgYIDVq1dj0KBBHCckhJCqSU5OxsyZM3HhwgW8ePECHw5ccT0XeMaMGZg/fz60tbUxY8aMcs9duXJlDaUifECNOVIt69atw5YtW+Do6ChTk6ldu3aYOXMmh8kIIaR6xo4di4SEBMydOxf16tXjfI7ch+7du4f8/HzpvwkpQXPmSLVoamoiPDwc5ubm0NXVRWhoKKysrBAVFYWWLVsiJyeH64iEEFIlurq6uHr1Klq3bs11FEKqhObMkWqxtLRESEiI3PHTp0+jefPmNR+IEEL+JTMzM7mhVb5ydXWVLtIoLSsrC66urhwkIlyixhypEl9fX2RnZ2PGjBn4+eefsX//fjDGcOvWLSxcuBCzZ8/GrFmzuI5JCCFVtnr1anh5eSEuLo7rKBUKCAhQOAKSk5ODnTt3cpCIcImGWUmVqKioICkpCSYmJtizZw98fHwQHR0NoLgek1gshpubG8cpCSGkcgwNDWXmxmVlZaGgoABaWlpyO9ukpqbWdDw5GRkZYIzB0NAQUVFRMvvfFhYW4tixY/Dy8pLWySOfB1oAQaqkdNvfyckJTk5OyM7ORmZmJm13QwhROqtXr+Y6QpUYGBhAIBBAIBCgSZMmcrcLBAKIxWIOkhEuUc8cqRKhUIjk5GSZb4OEEKLMCgsLsXz5chw9ehR5eXno0aMH5s2bB01NTa6jybl8+TIYY3BwcMDBgwdhZGQkvU1dXR3m5uYwNTXlMCHhAvXMkSpr0qRJhUv2+TAcQQghlbFo0SL4+PigZ8+e0NTUxJo1a/DixQts376d62hyunXrhoKCAri4uKBdu3YwMzPjOhLhAeqZI1UiFAqxevVq6Ovrl3uei4tLDSUihJB/x9raGjNnzsSECRMAAOfPn8e3336LnJwcCIX8XCeoq6uLBw8ewMLCgusohAeoMUeqRCgU4vnz5zQ/jhDyyRCJRJBIJDK9XBoaGpBIJGjQoAGHyco2aNAgDBkyhL44EwA0zEqqiG8V0Qkh5N8qKCiAhoaGzDE1NTXpbgt81LdvX3h5eeHBgwdo27YttLW1ZW4fOHAgR8kIF6hnjlQJ9cwRQj41QqEQffv2hUgkkh47duwYHBwcZBpJhw4d4iKeQuUN/woEAs73kSU1i3rmSJUUFRVxHYEQQv5TioYqx4wZw0GSyqP3YlIa9cwRQgghSiw3N1dumJh8Xvi5TIcQQgghZSosLMT8+fNRv3596OjoICYmBgAwd+5cbNu2jeN0pKZRY44QQghRMgsXLoS/vz/8/Pygrq4uPW5ra4utW7dymIxwgRpzhBBCiJLZuXMnNm/eDCcnJ6ioqEiPt2rVCuHh4RwmI1ygxhwhhBCiZJ4+fYrGjRvLHS8qKuJ1SRXycVBjjhBCCFEyNjY2uHr1qtzxP//8E/b29hwkIlyi0iSEEEKIkvH29oaLiwuePn2KoqIiHDp0CBEREdi5cyeOHz/OdTxSw6g0CSGEEKKErl69Cl9fX4SGhiIzMxNt2rSBt7c3evXqxXU0UsOoMUcIIYQoiZiYGFhaWtLWikQGzZkjhBBClIS1tTVevnwpvT5ixAgkJydzmIjwATXmCCGEECXx4WDayZMnkZWVxVEawhfUmCOEEEIIUWLUmCOEEEKUhEAgkJsvR/PnCJUmIYQQQpQEYwxjx46FSCQCAOTm5mLixInQ1taWOe/QoUNcxCMcocYcIYQQoiRcXFxkro8ZM4ajJIRPqDQJIYQQQogSozlzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFKjBpzhBBCCCFK7P/7k9srrdJxzQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.corr()[\"Fertilizer Name\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y3W0g9-F6XMs",
        "outputId": "805bf880-898a-4c3c-d176-6429d4e57776"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Temparature        0.045079\n",
              "Humidity           0.008468\n",
              "Moisture          -0.058222\n",
              "Soil Type         -0.065404\n",
              "Crop Type         -0.047543\n",
              "Nitrogen           0.774628\n",
              "Potassium         -0.824218\n",
              "Phosphorous       -0.280311\n",
              "Fertilizer Name    1.000000\n",
              "Name: Fertilizer Name, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Feature Selection based on Correlation values**"
      ],
      "metadata": {
        "id": "4YHF7CGv7Nw0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.drop('Humidity ',axis=1,inplace=True)"
      ],
      "metadata": {
        "id": "fQWWfC1Z8KpE"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "GxVrgNL67pMC",
        "outputId": "8b031516-ea18-4ad1-8b68-df8fcdcdfa48"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Temparature  Moisture  Soil Type  Crop Type  Nitrogen  Potassium  \\\n",
              "0            26        38          4          3        37          0   \n",
              "1            29        45          2          8        12          0   \n",
              "2            34        62          0          1         7          9   \n",
              "3            32        34          3          9        22          0   \n",
              "4            28        46          1          6        35          0   \n",
              "..          ...       ...        ...        ...       ...        ...   \n",
              "94           25        32          1          7        24          0   \n",
              "95           30        27          3          9         4         17   \n",
              "96           38        51          2         10        39          0   \n",
              "97           36        43          4          4        15          0   \n",
              "98           29        57          0          8        12          0   \n",
              "\n",
              "    Phosphorous  Fertilizer Name  \n",
              "0             0                6  \n",
              "1            36                5  \n",
              "2            30                1  \n",
              "3            20                4  \n",
              "4             0                6  \n",
              "..          ...              ...  \n",
              "94           19                4  \n",
              "95           17                0  \n",
              "96            0                6  \n",
              "97           41                5  \n",
              "98           10                3  \n",
              "\n",
              "[99 rows x 8 columns]"
            ],
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              "      <th></th>\n",
              "      <th>Temparature</th>\n",
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              "      <th>Soil Type</th>\n",
              "      <th>Crop Type</th>\n",
              "      <th>Nitrogen</th>\n",
              "      <th>Potassium</th>\n",
              "      <th>Phosphorous</th>\n",
              "      <th>Fertilizer Name</th>\n",
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              "      <th>0</th>\n",
              "      <td>26</td>\n",
              "      <td>38</td>\n",
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              "      <td>3</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
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              "      <th>1</th>\n",
              "      <td>29</td>\n",
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              "      <td>8</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>36</td>\n",
              "      <td>5</td>\n",
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              "      <td>32</td>\n",
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              "      <td>9</td>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>20</td>\n",
              "      <td>4</td>\n",
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              "      <td>28</td>\n",
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              "      <td>6</td>\n",
              "      <td>35</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
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              "      <th>94</th>\n",
              "      <td>25</td>\n",
              "      <td>32</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>24</td>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>30</td>\n",
              "      <td>27</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>4</td>\n",
              "      <td>17</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>38</td>\n",
              "      <td>51</td>\n",
              "      <td>2</td>\n",
              "      <td>10</td>\n",
              "      <td>39</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>36</td>\n",
              "      <td>43</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>41</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>29</td>\n",
              "      <td>57</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>99 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4ac8c0f9-f057-47a2-832e-00f1409789a0')\"\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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              "  </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-4ac8c0f9-f057-47a2-832e-00f1409789a0 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4ac8c0f9-f057-47a2-832e-00f1409789a0');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Phosphorous'].plot(kind=\"box\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        },
        "id": "uQmO9Pyh8CqA",
        "outputId": "470972a2-a072-41ba-bf31-5392d794bedb"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x550 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(data = df, vars=['Temparature',\t'Moisture','Nitrogen',\t'Potassium',\t'Phosphorous',])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "KVEE50n22xhZ",
        "outputId": "87e7e398-4f1e-446a-ebad-ec50b5ad9a92"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x1250 with 30 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Linear Discriminant Analysis**"
      ],
      "metadata": {
        "id": "7WqjBAaL93d3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Splitting the Data and Building the Model**"
      ],
      "metadata": {
        "id": "powISUUZ8gPj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X=df.iloc[:,:-1]\n",
        "y=df.iloc[:,-1]"
      ],
      "metadata": {
        "id": "uZNvBU_c8itE"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.33, random_state=42)"
      ],
      "metadata": {
        "id": "_89YQNBe9BA7"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
        "lda = LinearDiscriminantAnalysis()\n",
        "lda.fit(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 109
        },
        "id": "1RvYlOWI9FBJ",
        "outputId": "354d0e54-471b-403b-95cc-e2914c73449d"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearDiscriminantAnalysis(covariance_estimator=None, n_components=None,\n",
              "                           priors=None, shrinkage=None, solver='svd',\n",
              "                           store_covariance=False, tol=0.0001)"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearDiscriminantAnalysis(covariance_estimator=None, n_components=None,\n",
              "                           priors=None, shrinkage=None, solver=&#x27;svd&#x27;,\n",
              "                           store_covariance=False, tol=0.0001)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearDiscriminantAnalysis</label><div class=\"sk-toggleable__content\"><pre>LinearDiscriminantAnalysis(covariance_estimator=None, n_components=None,\n",
              "                           priors=None, shrinkage=None, solver=&#x27;svd&#x27;,\n",
              "                           store_covariance=False, tol=0.0001)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Predicting the Data**"
      ],
      "metadata": {
        "id": "PKKn1V9N9mgE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Prediction\n",
        "y_pred = lda.predict(X_test)"
      ],
      "metadata": {
        "id": "-Aaj8sZc3w5Z"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Accuracy Score:**"
      ],
      "metadata": {
        "id": "cDOHj71p48V6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score\n",
        "acc = accuracy_score(y_test, y_pred)\n",
        "print(\"LDA for Classifcation model accuracy (in %):\", acc*100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3Q124YNY46iM",
        "outputId": "f5ed9458-012f-4652-9752-3bc0200538b7"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "LDA for Classifcation model accuracy (in %): 100.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pf7l7ywA9IiR",
        "outputId": "7ab01361-4184-4745-d146-371772fdeca5"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([4, 3, 0, 6, 5, 4, 6, 4, 5, 6, 5, 4, 4, 1, 5, 6, 5, 6, 0, 6, 1, 4,\n",
              "       0, 2, 5, 1, 1, 6, 2, 5, 4, 4, 5])"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "yresult=pd.DataFrame(y_pred,columns=['Fertilizer Name'])"
      ],
      "metadata": {
        "id": "sOnPxvuR9W7B"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "yresult"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "EhP04NnH-KwC",
        "outputId": "306d0f66-dba2-4309-ca3c-6d86bda8cdcf"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Fertilizer Name\n",
              "0                 4\n",
              "1                 3\n",
              "2                 0\n",
              "3                 6\n",
              "4                 5\n",
              "5                 4\n",
              "6                 6\n",
              "7                 4\n",
              "8                 5\n",
              "9                 6\n",
              "10                5\n",
              "11                4\n",
              "12                4\n",
              "13                1\n",
              "14                5\n",
              "15                6\n",
              "16                5\n",
              "17                6\n",
              "18                0\n",
              "19                6\n",
              "20                1\n",
              "21                4\n",
              "22                0\n",
              "23                2\n",
              "24                5\n",
              "25                1\n",
              "26                1\n",
              "27                6\n",
              "28                2\n",
              "29                5\n",
              "30                4\n",
              "31                4\n",
              "32                5"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-afe6d66c-2d8b-42a8-9f18-bee07a506572\">\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>Fertilizer Name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-afe6d66c-2d8b-42a8-9f18-bee07a506572')\"\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-afe6d66c-2d8b-42a8-9f18-bee07a506572 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-afe6d66c-2d8b-42a8-9f18-bee07a506572');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **PICKLE FILE**"
      ],
      "metadata": {
        "id": "lZnOtkBiEjdx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "pickle.dump(lda, open('ferti.pkl', 'wb'))"
      ],
      "metadata": {
        "id": "gwLgwNv8DREB"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pickled_model = pickle.load(open('ferti.pkl', 'rb'))\n",
        "pickle_pred =pickled_model.predict(X_test)"
      ],
      "metadata": {
        "id": "zy5tOD6lHojH"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pickle_pred"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Yk9VOz6CH_4b",
        "outputId": "07dc8b63-f6d7-41c2-8fef-936bf1228231"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([4, 3, 0, 6, 5, 4, 6, 4, 5, 6, 5, 4, 4, 1, 5, 6, 5, 6, 0, 6, 1, 4,\n",
              "       0, 2, 5, 1, 1, 6, 2, 5, 4, 4, 5])"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "acc = accuracy_score(y_test, pickle_pred)\n",
        "print(\"pickle model accuracy (in %):\", acc*100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HJ-uaxpmIIam",
        "outputId": "2cdc7507-a7eb-4d78-f9a8-85d158493c17"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "pickle model accuracy (in %): 100.0\n"
          ]
        }
      ]
    }
  ]
}