Clasificacion_Spotify_HIT.ipynb

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        "<a href=\"https://colab.research.google.com/github/JHON-EDV/Ahorcado-en-python/blob/master/Clasificacion_Spotify_HIT.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import sklearn\n",
        "\n",
        "\n",
        "%matplotlib inline\n",
        "\n",
        "\n",
        "spotify = pd.read_csv('https://raw.githubusercontent.com/JHON-EDV/Clasificacion_Spotify/master/data.csv',encoding='utf-8')\n",
        "\n",
        "type(spotify)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
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            "tags": []
          },
          "execution_count": 3
        }
      ]
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          "base_uri": "https://localhost:8080/",
          "height": 417
        }
      },
      "source": [
        "spotify.head()"
      ],
      "execution_count": 4,
      "outputs": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>artists</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
              "      <th>id</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>key</th>\n",
              "      <th>liveness</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>name</th>\n",
              "      <th>popularity</th>\n",
              "      <th>release_date</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>tempo</th>\n",
              "      <th>valence</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
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              "      <td>0.379</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0.901</td>\n",
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              "      <td>-28.454</td>\n",
              "      <td>1</td>\n",
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              "      <td>Chapter 1.18 - Zamek kaniowski</td>\n",
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              "      <td>0.9290</td>\n",
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              "      <td>1928</td>\n",
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              "      <th>3</th>\n",
              "      <td>0.995</td>\n",
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            "text/plain": [
              "   acousticness                                   artists  ...  valence  year\n",
              "0         0.995                       ['Carl Woitschach']  ...   0.7790  1928\n",
              "1         0.994  ['Robert Schumann', 'Vladimir Horowitz']  ...   0.0767  1928\n",
              "2         0.604                   ['Seweryn Goszczyński']  ...   0.8800  1928\n",
              "3         0.995                      ['Francisco Canaro']  ...   0.7200  1928\n",
              "4         0.990  ['Frédéric Chopin', 'Vladimir Horowitz']  ...   0.0693  1928\n",
              "\n",
              "[5 rows x 19 columns]"
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    {
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      },
      "source": [
        "#Visualizamos la dimension de la base de datos\n",
        "spotify.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(169909, 19)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lta_QvqFAmT3",
        "outputId": "25a4e7c1-ac69-493c-f36f-1c2e6195a005",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#visualizamos las columnas\n",
        "spotify.columns"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['acousticness', 'artists', 'danceability', 'duration_ms', 'energy',\n",
              "       'explicit', 'id', 'instrumentalness', 'key', 'liveness', 'loudness',\n",
              "       'mode', 'name', 'popularity', 'release_date', 'speechiness', 'tempo',\n",
              "       'valence', 'year'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
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      "metadata": {
        "id": "PUnlIozgAxJ3",
        "outputId": "addd8af6-e803-4c9f-b541-112b16ad050a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify.index"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RangeIndex(start=0, stop=169909, step=1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_TG3LCf9A6ie",
        "outputId": "7ba43d60-a12d-4df7-8d44-e8c6799acc21",
        "colab": {
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      },
      "source": [
        "#Tipo de dato por columna\n",
        "spotify.dtypes"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "acousticness        float64\n",
              "artists              object\n",
              "danceability        float64\n",
              "duration_ms           int64\n",
              "energy              float64\n",
              "explicit              int64\n",
              "id                   object\n",
              "instrumentalness    float64\n",
              "key                   int64\n",
              "liveness            float64\n",
              "loudness            float64\n",
              "mode                  int64\n",
              "name                 object\n",
              "popularity            int64\n",
              "release_date         object\n",
              "speechiness         float64\n",
              "tempo               float64\n",
              "valence             float64\n",
              "year                  int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "outputId": "9e2f6fc3-c93a-4f8a-9a54-2b7751fdefa6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#Separacion por tipo de dato.\n",
        "num = (spotify.dtypes == float) | (spotify.dtypes == int)\n",
        "num.index"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['acousticness', 'artists', 'danceability', 'duration_ms', 'energy',\n",
              "       'explicit', 'id', 'instrumentalness', 'key', 'liveness', 'loudness',\n",
              "       'mode', 'name', 'popularity', 'release_date', 'speechiness', 'tempo',\n",
              "       'valence', 'year'],\n",
              "      dtype='object')"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 9
        }
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    {
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        "id": "-sMybEZBBnNc",
        "outputId": "ec205819-8209-4d4a-8283-5a59f13f1e81",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "num_colms = [c for c in num.index if num[c]]\n",
        "num_colms"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['acousticness',\n",
              " 'danceability',\n",
              " 'duration_ms',\n",
              " 'energy',\n",
              " 'explicit',\n",
              " 'instrumentalness',\n",
              " 'key',\n",
              " 'liveness',\n",
              " 'loudness',\n",
              " 'mode',\n",
              " 'popularity',\n",
              " 'speechiness',\n",
              " 'tempo',\n",
              " 'valence',\n",
              " 'year']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wPqEzyDfB-IT",
        "outputId": "626e57ca-db95-432c-962e-244a2888837a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "obj = spotify.dtypes == object\n",
        "obj_colms = [c for c in obj.index if obj[c]]\n",
        "obj_colms"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['artists', 'id', 'name', 'release_date']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FbQCZJn5CLAy"
      },
      "source": [
        "spotify_num = spotify[num_colms]"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
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      },
      "source": [
        "spotify_num"
      ],
      "execution_count": 13,
      "outputs": [
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              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
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              "      <td>0.9940</td>\n",
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              "      <td>1928</td>\n",
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              "      <td>0.781</td>\n",
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              "      <td>0.1300</td>\n",
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              "      <td>-14.734</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0926</td>\n",
              "      <td>108.003</td>\n",
              "      <td>0.7200</td>\n",
              "      <td>1928</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.9900</td>\n",
              "      <td>0.210</td>\n",
              "      <td>687733</td>\n",
              "      <td>0.2040</td>\n",
              "      <td>0</td>\n",
              "      <td>0.908000</td>\n",
              "      <td>11</td>\n",
              "      <td>0.0980</td>\n",
              "      <td>-16.829</td>\n",
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              "      <td>62.149</td>\n",
              "      <td>0.0693</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169904</th>\n",
              "      <td>0.1730</td>\n",
              "      <td>0.875</td>\n",
              "      <td>163800</td>\n",
              "      <td>0.4430</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000032</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0891</td>\n",
              "      <td>-7.461</td>\n",
              "      <td>1</td>\n",
              "      <td>75</td>\n",
              "      <td>0.1430</td>\n",
              "      <td>100.012</td>\n",
              "      <td>0.3060</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169905</th>\n",
              "      <td>0.0167</td>\n",
              "      <td>0.719</td>\n",
              "      <td>167468</td>\n",
              "      <td>0.3850</td>\n",
              "      <td>0</td>\n",
              "      <td>0.031300</td>\n",
              "      <td>8</td>\n",
              "      <td>0.1110</td>\n",
              "      <td>-10.907</td>\n",
              "      <td>1</td>\n",
              "      <td>64</td>\n",
              "      <td>0.0403</td>\n",
              "      <td>128.000</td>\n",
              "      <td>0.2700</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169906</th>\n",
              "      <td>0.5380</td>\n",
              "      <td>0.514</td>\n",
              "      <td>180700</td>\n",
              "      <td>0.5390</td>\n",
              "      <td>0</td>\n",
              "      <td>0.002330</td>\n",
              "      <td>7</td>\n",
              "      <td>0.1080</td>\n",
              "      <td>-9.332</td>\n",
              "      <td>1</td>\n",
              "      <td>70</td>\n",
              "      <td>0.1050</td>\n",
              "      <td>123.700</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169907</th>\n",
              "      <td>0.0714</td>\n",
              "      <td>0.646</td>\n",
              "      <td>167308</td>\n",
              "      <td>0.7610</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2220</td>\n",
              "      <td>-2.557</td>\n",
              "      <td>1</td>\n",
              "      <td>70</td>\n",
              "      <td>0.0385</td>\n",
              "      <td>129.916</td>\n",
              "      <td>0.4720</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169908</th>\n",
              "      <td>0.1090</td>\n",
              "      <td>0.512</td>\n",
              "      <td>214787</td>\n",
              "      <td>0.4280</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.1050</td>\n",
              "      <td>-7.387</td>\n",
              "      <td>1</td>\n",
              "      <td>65</td>\n",
              "      <td>0.0271</td>\n",
              "      <td>80.588</td>\n",
              "      <td>0.3660</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>169909 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        acousticness  danceability  duration_ms  ...    tempo  valence  year\n",
              "0             0.9950         0.708       158648  ...  118.469   0.7790  1928\n",
              "1             0.9940         0.379       282133  ...   83.972   0.0767  1928\n",
              "2             0.6040         0.749       104300  ...  107.177   0.8800  1928\n",
              "3             0.9950         0.781       180760  ...  108.003   0.7200  1928\n",
              "4             0.9900         0.210       687733  ...   62.149   0.0693  1928\n",
              "...              ...           ...          ...  ...      ...      ...   ...\n",
              "169904        0.1730         0.875       163800  ...  100.012   0.3060  2020\n",
              "169905        0.0167         0.719       167468  ...  128.000   0.2700  2020\n",
              "169906        0.5380         0.514       180700  ...  123.700   0.1530  2020\n",
              "169907        0.0714         0.646       167308  ...  129.916   0.4720  2020\n",
              "169908        0.1090         0.512       214787  ...   80.588   0.3660  2020\n",
              "\n",
              "[169909 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JPDDb8FpCbZC",
        "outputId": "8a0c6e7b-c4c8-4607-a0f3-e6038d8afb2c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify_num.shape"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(169909, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_HKiUz_ECi3R",
        "outputId": "35de6ace-f3b2-46c3-8247-2c0e8ceeb81f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "spotify_num['year'].hist()\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Numero de repeticiones')\n",
        "plt.title('Histogram of year')\n"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Histogram of year')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1gCFdXMCDJdL",
        "outputId": "7ac17af6-7d74-475a-93be-b80227b09294",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "spotify_num['popularity'].hist()\n",
        "plt.xlabel('Popularity')\n",
        "plt.ylabel('Numero de repeticiones')\n",
        "plt.title('Histogram of Popularity')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Histogram of Popularity')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mzpNBZLcGE2M"
      },
      "source": [
        "Aqui hay un problema, si queremos eliminar los primeros años. Los datos de estos son minimos, aunque se tiene una gran cantidad de casos en 0 "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ICn1yEk-Dswe",
        "outputId": "93c4a759-161f-4b40-fd2e-80fd1eeea777",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        }
      },
      "source": [
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "\n",
        "spotify_num.corr()\n",
        "#correlación entre las columnas siendo 1 el maximo"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>key</th>\n",
              "      <th>liveness</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>popularity</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>tempo</th>\n",
              "      <th>valence</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>acousticness</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.265950</td>\n",
              "      <td>-0.079311</td>\n",
              "      <td>-0.750283</td>\n",
              "      <td>-0.253690</td>\n",
              "      <td>0.335821</td>\n",
              "      <td>-0.021686</td>\n",
              "      <td>-0.023871</td>\n",
              "      <td>-0.567072</td>\n",
              "      <td>0.046475</td>\n",
              "      <td>-0.593345</td>\n",
              "      <td>-0.056077</td>\n",
              "      <td>-0.204982</td>\n",
              "      <td>-0.185540</td>\n",
              "      <td>-0.624550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>danceability</th>\n",
              "      <td>-0.265950</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.134500</td>\n",
              "      <td>0.220569</td>\n",
              "      <td>0.241891</td>\n",
              "      <td>-0.281429</td>\n",
              "      <td>0.022599</td>\n",
              "      <td>-0.105532</td>\n",
              "      <td>0.294170</td>\n",
              "      <td>-0.045306</td>\n",
              "      <td>0.221077</td>\n",
              "      <td>0.225305</td>\n",
              "      <td>-0.004872</td>\n",
              "      <td>0.560242</td>\n",
              "      <td>0.203430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>duration_ms</th>\n",
              "      <td>-0.079311</td>\n",
              "      <td>-0.134500</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.036396</td>\n",
              "      <td>-0.043811</td>\n",
              "      <td>0.084814</td>\n",
              "      <td>-0.003116</td>\n",
              "      <td>0.034270</td>\n",
              "      <td>-0.014687</td>\n",
              "      <td>-0.046981</td>\n",
              "      <td>0.063292</td>\n",
              "      <td>-0.058449</td>\n",
              "      <td>-0.028816</td>\n",
              "      <td>-0.198760</td>\n",
              "      <td>0.076293</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>energy</th>\n",
              "      <td>-0.750283</td>\n",
              "      <td>0.220569</td>\n",
              "      <td>0.036396</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.142677</td>\n",
              "      <td>-0.287692</td>\n",
              "      <td>0.029984</td>\n",
              "      <td>0.126293</td>\n",
              "      <td>0.782982</td>\n",
              "      <td>-0.038355</td>\n",
              "      <td>0.497488</td>\n",
              "      <td>-0.045226</td>\n",
              "      <td>0.249936</td>\n",
              "      <td>0.350086</td>\n",
              "      <td>0.532419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>explicit</th>\n",
              "      <td>-0.253690</td>\n",
              "      <td>0.241891</td>\n",
              "      <td>-0.043811</td>\n",
              "      <td>0.142677</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.138292</td>\n",
              "      <td>0.008578</td>\n",
              "      <td>0.039272</td>\n",
              "      <td>0.152695</td>\n",
              "      <td>-0.083221</td>\n",
              "      <td>0.214044</td>\n",
              "      <td>0.413074</td>\n",
              "      <td>0.011484</td>\n",
              "      <td>-0.022327</td>\n",
              "      <td>0.245227</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>instrumentalness</th>\n",
              "      <td>0.335821</td>\n",
              "      <td>-0.281429</td>\n",
              "      <td>0.084814</td>\n",
              "      <td>-0.287692</td>\n",
              "      <td>-0.138292</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.014268</td>\n",
              "      <td>-0.047397</td>\n",
              "      <td>-0.417033</td>\n",
              "      <td>-0.035051</td>\n",
              "      <td>-0.299829</td>\n",
              "      <td>-0.115735</td>\n",
              "      <td>-0.107570</td>\n",
              "      <td>-0.193929</td>\n",
              "      <td>-0.291571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>key</th>\n",
              "      <td>-0.021686</td>\n",
              "      <td>0.022599</td>\n",
              "      <td>-0.003116</td>\n",
              "      <td>0.029984</td>\n",
              "      <td>0.008578</td>\n",
              "      <td>-0.014268</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000106</td>\n",
              "      <td>0.021920</td>\n",
              "      <td>-0.112766</td>\n",
              "      <td>0.010675</td>\n",
              "      <td>0.015225</td>\n",
              "      <td>0.003148</td>\n",
              "      <td>0.029064</td>\n",
              "      <td>0.012503</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>liveness</th>\n",
              "      <td>-0.023871</td>\n",
              "      <td>-0.105532</td>\n",
              "      <td>0.034270</td>\n",
              "      <td>0.126293</td>\n",
              "      <td>0.039272</td>\n",
              "      <td>-0.047397</td>\n",
              "      <td>-0.000106</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.052985</td>\n",
              "      <td>0.005393</td>\n",
              "      <td>-0.075293</td>\n",
              "      <td>0.147667</td>\n",
              "      <td>0.008124</td>\n",
              "      <td>-0.000426</td>\n",
              "      <td>-0.055839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>loudness</th>\n",
              "      <td>-0.567072</td>\n",
              "      <td>0.294170</td>\n",
              "      <td>-0.014687</td>\n",
              "      <td>0.782982</td>\n",
              "      <td>0.152695</td>\n",
              "      <td>-0.417033</td>\n",
              "      <td>0.021920</td>\n",
              "      <td>0.052985</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.013147</td>\n",
              "      <td>0.466546</td>\n",
              "      <td>-0.105796</td>\n",
              "      <td>0.211114</td>\n",
              "      <td>0.308418</td>\n",
              "      <td>0.490118</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mode</th>\n",
              "      <td>0.046475</td>\n",
              "      <td>-0.045306</td>\n",
              "      <td>-0.046981</td>\n",
              "      <td>-0.038355</td>\n",
              "      <td>-0.083221</td>\n",
              "      <td>-0.035051</td>\n",
              "      <td>-0.112766</td>\n",
              "      <td>0.005393</td>\n",
              "      <td>-0.013147</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.032854</td>\n",
              "      <td>-0.057493</td>\n",
              "      <td>0.014539</td>\n",
              "      <td>0.014727</td>\n",
              "      <td>-0.033084</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>popularity</th>\n",
              "      <td>-0.593345</td>\n",
              "      <td>0.221077</td>\n",
              "      <td>0.063292</td>\n",
              "      <td>0.497488</td>\n",
              "      <td>0.214044</td>\n",
              "      <td>-0.299829</td>\n",
              "      <td>0.010675</td>\n",
              "      <td>-0.075293</td>\n",
              "      <td>0.466546</td>\n",
              "      <td>-0.032854</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.135707</td>\n",
              "      <td>0.135047</td>\n",
              "      <td>0.009327</td>\n",
              "      <td>0.880724</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>speechiness</th>\n",
              "      <td>-0.056077</td>\n",
              "      <td>0.225305</td>\n",
              "      <td>-0.058449</td>\n",
              "      <td>-0.045226</td>\n",
              "      <td>0.413074</td>\n",
              "      <td>-0.115735</td>\n",
              "      <td>0.015225</td>\n",
              "      <td>0.147667</td>\n",
              "      <td>-0.105796</td>\n",
              "      <td>-0.057493</td>\n",
              "      <td>-0.135707</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.010070</td>\n",
              "      <td>0.056383</td>\n",
              "      <td>-0.120937</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tempo</th>\n",
              "      <td>-0.204982</td>\n",
              "      <td>-0.004872</td>\n",
              "      <td>-0.028816</td>\n",
              "      <td>0.249936</td>\n",
              "      <td>0.011484</td>\n",
              "      <td>-0.107570</td>\n",
              "      <td>0.003148</td>\n",
              "      <td>0.008124</td>\n",
              "      <td>0.211114</td>\n",
              "      <td>0.014539</td>\n",
              "      <td>0.135047</td>\n",
              "      <td>-0.010070</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.171182</td>\n",
              "      <td>0.137892</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>valence</th>\n",
              "      <td>-0.185540</td>\n",
              "      <td>0.560242</td>\n",
              "      <td>-0.198760</td>\n",
              "      <td>0.350086</td>\n",
              "      <td>-0.022327</td>\n",
              "      <td>-0.193929</td>\n",
              "      <td>0.029064</td>\n",
              "      <td>-0.000426</td>\n",
              "      <td>0.308418</td>\n",
              "      <td>0.014727</td>\n",
              "      <td>0.009327</td>\n",
              "      <td>0.056383</td>\n",
              "      <td>0.171182</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.029304</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>year</th>\n",
              "      <td>-0.624550</td>\n",
              "      <td>0.203430</td>\n",
              "      <td>0.076293</td>\n",
              "      <td>0.532419</td>\n",
              "      <td>0.245227</td>\n",
              "      <td>-0.291571</td>\n",
              "      <td>0.012503</td>\n",
              "      <td>-0.055839</td>\n",
              "      <td>0.490118</td>\n",
              "      <td>-0.033084</td>\n",
              "      <td>0.880724</td>\n",
              "      <td>-0.120937</td>\n",
              "      <td>0.137892</td>\n",
              "      <td>-0.029304</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  acousticness  danceability  ...   valence      year\n",
              "acousticness          1.000000     -0.265950  ... -0.185540 -0.624550\n",
              "danceability         -0.265950      1.000000  ...  0.560242  0.203430\n",
              "duration_ms          -0.079311     -0.134500  ... -0.198760  0.076293\n",
              "energy               -0.750283      0.220569  ...  0.350086  0.532419\n",
              "explicit             -0.253690      0.241891  ... -0.022327  0.245227\n",
              "instrumentalness      0.335821     -0.281429  ... -0.193929 -0.291571\n",
              "key                  -0.021686      0.022599  ...  0.029064  0.012503\n",
              "liveness             -0.023871     -0.105532  ... -0.000426 -0.055839\n",
              "loudness             -0.567072      0.294170  ...  0.308418  0.490118\n",
              "mode                  0.046475     -0.045306  ...  0.014727 -0.033084\n",
              "popularity           -0.593345      0.221077  ...  0.009327  0.880724\n",
              "speechiness          -0.056077      0.225305  ...  0.056383 -0.120937\n",
              "tempo                -0.204982     -0.004872  ...  0.171182  0.137892\n",
              "valence              -0.185540      0.560242  ...  1.000000 -0.029304\n",
              "year                 -0.624550      0.203430  ... -0.029304  1.000000\n",
              "\n",
              "[15 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-W7W1XGOHGvZ",
        "outputId": "a68671e6-32ae-4aa2-a04b-4232257c7bdc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 852
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(13,13))         # Sample figsize in inches\n",
        "sns.heatmap(spotify_num.corr(), annot=True, fmt='.3f')\n"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f51b0cff6d8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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v3h4F3r5C5XIcOXAcgCMHTtCucysA0tMzSEsz9WpbWVmh0xVuJLt0x3pcN9e3kaevY+WcT33raEukub69vu4gpTvlrm+z82tZk5hLd4n56w4AqTEJhe5oqtqhHmfWm8rA3TPXsHG0wzGPOu1mtjot5OItnMx1WtUO9Tn9q2n7i5uPUb5pjUId/3Eqt69HkHnfwWeuYeNkh8Mj+fZwXUJE7tsWTdOwdrAFwNrRlvgIUzko36Im4ZfvEH7JlG/JsYXLtw5dWrNujamz5vTJczg5OeKVx3XWb+DzLPnsm8xYYqJNMR4+eIKU5BTz9kH4+nkX+Njiv1exNi6UUhuUUqeUUheVUsPNyzoppU4rpYKUUrvMy9zMac8ppY4qpWqZl7+rlJqcbX8XlFJllVL2SqlN5n1cUEr1U0qNBfyAPUqpPeb0t5RSHubfB5v3H6SUWmletkIptVgpdVgpdUMp1TvbsaYopU6Yt3nPvCzXcc3LFyil/jKnzXvYoQiER97Hxyur0Ht7eRAeGUV4ZBQ+Xp5Zyz2zlntnT+/pQXjk/ac6tou3KzEhWdvGht1/7E2mrZMdNdvW48oh0xQgr3K+ePn7MmHdbCb9NoeqLWtnLk+OS+TVpZN4a9MCer4zEFXILzt7H1cSssWWGBqNvY9rrjSJodGPTePTqDLJkQ+IuxkOQPSlO5RpXxel1+FYyhOPmmWx9yv4TRFACT8fgu+GZH6+FxxKCT+ffNP369uDX37JOTWj1/NdOH1qB2vXLKNkSb+s/QZn2++9x+83Ly7ebsRmy7cHYdE4P+GcVm9bl78PZU3rqt25IW9t+YChX0zAxdeUN0opek4fxIa5PxYqHgCdhwfGyIjMz8aoSHTuub/obLr1xHX5auyHjSRhaVZPskXlqrgsXYHrl9+RsGQhGA3ofHwxPojFYeLbuCz5BodxU+ApRy5sfdxIypZnyaHR2PrmvI5sfV1JCsm61pJCo7HNI1/9+7ckNI+RgJJdGxJz/hbGtML12v5TsVnYWVPlje5c/GR9oeJ5yNvHk9CQ8MzPYSERePvm3cCet2gmv+1exaiJWdNBypYvTdnypVn95zes2bycwNZNcm3XpWd7Nq3fVqi4bHzcSMmWXykh0Vg/khc2vm6k3DOl0QxGMuKTsXRzRG9njf/oHlz/OOd0ItvSXqTdj6P6olE03jmfaguHo7d7upELH18vQu+FZX4OCwnHJ598+3Dxu/y5Zw2jJ72Wuezyxb/p2K0NAB27tsHR0SGzt9nXz5vN+9ZyKGgLXy1eUeBRCwA7H1cSH6lv7R6pS+3yqG+zp6k6tD09dsyj2SevYeVs6g90LucDaLRf9Sbdt86hxqiuBY7pISdvVx5ku77jwqJxeiS27Gyc7KjSti7XD13Mtr3pbzMajKTEJ2Hnaurwcy3lyRub5vHq2hmUaVC58LH5uBGXLd/iwqJx8s4/tkft/Ww9tZ4PZOLRzxm44k02z/weAHd/XzQNXvrhLUZsmkOzEd0KFZePrzch2a6z0JBwfHxzNhCczJ2eU6aOZsuen1n63Sd4eOb+LnzxpV7s2Xkg87O1jRWbdq1l4/ZVdOzSplBxFSvN+Oz8PKOKe+TiFU3T6gH1gbFKKW/ga+AFTdNqA33M6d4DzmiaVguYCvzwhP12AkI0TautaVoNYKumaYuBEKC1pmmtsydWSlUHpgNtzMcdl221LxAIdAMWmNN3ACoCDYE6QD2lVIu8jquUcgeeB6qb45+TV8BKqeFKqZNKqZPf/PBTXkn+Z+j0OoYsHsveFVu5f9d0o6jX6/Dy92FR//dYMWYRA+YPx9bJDp1eT/kGVflt7ko+6jEVj9LeNO7dqljiLv9ck8xRC4Ara/aRGBrN85vfp/G7LxF+6mpmz+4/pW/f51izdkPm5z837aB8xcbUrdeenTv38923n/2jx8+PTq9j8OKx7M92Ti/sPMV7gWP4oPNbXDl4joGfjAIgcFAH/tpzhgdh0Y/b5b8l5c8NxLwygKTlX2H3YtZUkYwrl4gdOYTYcSOx7TsQLK1Qej0WFSqSsul3Yke/ipaSgl3f3MP+/0lVxz2HZjBw+9dDOZY7VSpB7en9Ofnmt8UUWe7Yqk9+gb+XbSEjqeCjAk9j8qgZ9Gj1Ii91f436jevwXN8uAFjo9ZQpV4rBPUcwaeR03l84DUcnh8ztPL3cqVS1Agf3PN2o7NMoP6UPt7/ajOGRPFEWehxr+hP8/Q6OtnsHQ1IqZcc894/GMmHEVDq36Eu/7q/QoHEAz/c13VzOm/UpjZrW44/dP9GwaT1CQ8IxGEwje6Eh4XRp2Y/WDZ+jV//ueHg+eTSyqFz+YSe/Np3Ixg7TSIqIpcFM09Q2pdfj1aAS+0d/weaesynduT6+2UaKippOr6Pf4tEcWbGVmLsRj00bHxHLh03H8q+uU9n8/o/0XTQ6cxThP6VmjyacXbefhY3HsGrIh/T67HWUUugsdJRuUIn14/7F8hdmU6VTffybFW2+6S30+JXw4dTxs3Ru3ZdTJ4KYMXtyjjS9+nSjVkB1ln6eNU22ce0OdG3bj9GvvcW7896iTNlSRRqXKD7F/czFWKXU8+bfSwHDgf2apt0E0DTt4d1HIPCCedlupZS7Usop196ynAc+UUp9APypadqBx6QFaAP8omla1CPHBdigaZoR+Mvc+AHoYP45Y/7sgKmxceDR4yqlLIAU4Ful1J/An3kFoGnaMmAZQHrUjcKN9Zp5e7oTFhGV+Tk8IgpvTw+8PT04cSZr+kl4ZBQNAmqZRiqyp4+MwjuP3ob8tBjUgaYvtgXgdtB1XLP12rv4uBObz83ji/OHE3kzjL3Ls+bUxoZFc+vsNYwZBu4HRxJxMxTPsr7EhkUTfOlW5g1r0PYT+AdU5MjPe/Lc90PVXm6X+UxEZNANHPzcedg3au/rRmJYzqkTiWEx2PtmfYE+mkbpdZTt3IANXWZkLtMMRo6+tyrzc48NM3lwI/SxcQGMGvkyw4aZvjBPnjxLyVJ+metKlPTNfDj7UbVqVcPCwoLTZ85nLouOzorx2+WrWTB/GgD3QsJo2aJp1n5L+LJv/+EnxhY4qANNXjT1IN0Juo5LtnPq7OOWb4Og3/zXiLwZyr7lWzKXJcVmTS06smY3Pd42/c1l61akfIMqBA7qgLWdNRaWFqQlpWQ+CP44xqgodJ5ZvbM6D0+M96PyTZ+6bxf2oyfkWm64exstORmLsv4YoiIxRkWSccU0lz/14L5CNS4qDGlPuYGmay066AZ22fLM1teN5NCc11pyaEyOKUV2vm4kZ8vXsn1b4NcugL195+XYztbXjcDlEzg2dimJtx9/s/OfjM29bnlKdWtI7RkvYulkh2bUMKSmc+27HfnGNeCVPvR5qScA58/8lWOqhI+fF+Ghuf++h73niYlJ/PnrNmoFVOf3nzcTFhrBuVMXycgwcO9OCLeu36FMudJcMD9j0Om59uzcvJeMjMI9hJkSFo1Ntvyy8XMj9ZHrPyU0GpsS7qSGRqP0OiwcbUmPjse5bgW8uzWi0oyBWDjbgVHDmJpO+B9HSQ2J5oF52ln4H8fwH9OjwDENeqUv/Qb1AuDc2Yv4lsgajfTx8yYsj3wLf5hvCUls/HULtetW57ef/yQiLJJRQ0w3gHb2tnTq3pb4uJzTASPCIvn70jUaNK7Llj925htXlZfbUcl8nUWdvZFjBNfe142kR+rbpDzq24dpUqLiMpdfXbWHtt9PMm0TGk34sSukxphiDN4dhFuNsoQefPyLFxoNak+DF02xBQfdwDnb9e3k40ZcWO5pdAA9579K1M0wDi/fmrksLjwGZz934sKi0el12DjakRRjmo6XnGaKK+TCTaLvhOPh78O98zfz3PdDDQa3p15/U2z3zt3AKVu+Ofm4EReed2x5CejXih8Hf2D6O09fw8LaEjs3R+JCo7l97DJJ5ny7uucsvjXKcvNQ/vn28rD+DBhsmqgRdOYCftmuM18/b8JCw3Okj4mOJSkxic3ma+TP37fT/6VemesDWzZmzKTh9O42JHPKHZB5vd65HcyRgyeoUasKt2/dLfDfLJ5dxTZyoZRqBbQDmphHC84AZx+7UW4Z5PwbbAA0TfsbqIupkTFHKZX7ia2Cy971pLL9O1/TtDrmnwqapn2b13E1TcvANMKxDtPox1b+Ia0CG7Nx6y40TSPowiUcHOzx9HCjWaN6HD5+mgdx8TyIi+fw8dM0a1QPTw837O3tCLpwCU3T2Lh1F60DGxf4ePtXbmdBl7dY0OUtzm0/QcNeLQAoG1CR5Pgk4iJzzwvtNqkfto52/Dr7+xzLg7afoGLjagDYuzri5e/L/Tvh3A66hq2TPQ5upmHXyk1rEHb1yfO6//p+J+s7TmN9x2nc2nqKir1N8/K96pYnLT6J5EfmrCZHxJKWkIxX3fIAVOwdyO3tpzLXl2hegwfXQ3IM5ettrLAwP4xZonkNjBlGYq+G8CRfLv2e+g06UL9BBzZu3MaggaZKvFHDusQ9iCMsLO8bx/79nmNttlELIMfzGd27d+DyZdNNy/bt+2jfrgUuLs64uDjTvl0Ltm9/8ltyDq7czkdd3uajLm9zfvtJGpjPaZmACqTkc067TOqLraMdv83OOaCY/fmMmu3rE37d9CDsyvFLeLfZaGYHjuH3eas4vv5AgRoWABl/X0bvVxKdtw9YWGDdsg1pR3P27uv8SmT+btWwCYZ7putF5+0DOr3pdy9v9KVKYwgPQ4uJxhgZib6EqdfMqk5dMu7cKlA8ANdW7GB7+6lsbz+Ve1tOUrZPcwDc61YgPT6ZlEeutZSIWNLjk3Gva3qTW9k+zbm31XSt+bSuRZU3unFwyCcYkrOeLbJ0sqPFyskEzVtD1Im/n6nYdvd8nz8bjufPhuP5++utXFr8+2MbFgCrl//C820G8nybgezaspfn+pqmuNSuV4P4uAQiI3JOz9Tr9bi4mabsWFjoadUhkL8vm+br79y8j4bN6gLg4uZM2fKlCb6d9dB11+c7sOm3wk2JAog7cx27cj7YlvZEWerx6dmUiG2ncqSJ3HYKv76mMuLdvRHR5hvdE8+9y4EGYzjQYAx3lm3hxqIN3F2+jbTIB6SE3MfO/PY59+Y1cjwg/iQrl/9Mt9b96da6Pzs278kchahTr6Yp38JzNrT1ej2ubqZyaGFhQZsOLTLzzdXNJfPNgKPGvcIvq38HTNOtrG1M9ZqTsyP1Gwdw49qtx8Z1+fudbOwwjY0dpnFn2ynKm+tbz7rlSYvLp76NT8bTXN+W7x3IHXPeZn8+o3Tn+sSan1m5t+8crlVKobexQul1+DSuwoOrT867Yyt3sKTLVJZ0mcql7ScJ6GUqA6UCKpAan0x8HnVau0l9sHa0Y/PslTmWX9pxirovmLav3qURN8zP3Nm5OWZO13Ut5YVHWR+i7zy5A+DEDztY2mUqS7tM5fL2k9Q277ukOba8nq3Iz4OQ+5RrZnoGxKOCHxbWliTej+PavnN4VymFpY0VOr2Oso2qEvmEfPv+2zV0bNmbji17s3XTbnr3NzWA69avRXxcAhHhuTt0dmzbR5NA08tgAls04uoV03VWvWYVFiycxSsDRnM/Kuv709nZCSsrS8B0LTZoFMDf5m2eeUbjs/PzjCrOkQtnIEbTtCSlVBWgMabGQQullL+maTeVUm7mUYQDwEDgfXOjJErTtDil1C1MN+wopeoC/ubf/YBoTdN+VErFAq+ajxkPOAKPlozdwG9KqYWapt3Pdtz8bDPHskrTtASlVAkgHVN+5jiuUsoBsNM0bbNS6hBw42kzbMqsBZw4c47Y2Dja9nyJ14cNIiPDNO+63/NdadGkAQeOnKBz31ewtbHh/ammHltnJ0dGDHmR/q+aZnuNHDog88Hw6ZPeyHoVbeMGT/WmKICLe85QvXUAs/YtIj05jR+nfJm57u3NH7Cgy1u4+LjRaUwvwq7d461NCwDY9/02jqzdzaV9QVRtXotpOz5BMxjZMH8Vieae7w1zVzJm1QyUUty5cINDa3YVKra7u89Sqk1t+h38hIyUNPZNXJa5rte2uazvaOrtPzR1BS0XDsfCxoq7e4O4m22+e/kejbm+Iee0ClsPJzqvegvNaCQpLIa9476ksBjuf0YAACAASURBVDZv2UWnTm24cukQScnJvPpq1qszT57YnuMtUb1f6E735wbl2H7M6Ffo1q0DGRkGYqJjeeXV8QDExMQyd95nHD1selB2ztxPiYkp3LsL/tpzhmqt6zBj3yLSklNZPSXr9cdTNi/goy5v4+zjRkfzOZ28aT6Q9crZFkM7UaNdPYwGI0mxCayaXPj8ycVoIOHLz3Ce8zHodaRs34zhzi3sBr1Cxt+XSTt2GNvuvbAMqAcZGRgTEkj4xBSXZfVa2PYdABkZoGkk/utTtDjT27MSvlyEw5vTUZaWGEJDSPh0wVOFF7rrLL5t69D1yEIyktM4PuGrzHUddsxje3vT22ROvfMdjT4zvYYzdHdQ5vMLdee+jN7KkpZr3gFMD06fems5FV/pgIO/N9Un9KL6BFOP4L7+C0i9H0dB/VOx/bv27TxEi3bN2H78N1KSUpg6bnbmut92r+L5NgOxsrbk27WfY2FpgU6n58j+4/yy0tTQPrjnCIGtG/HngbUYDUY+em8RsTGm81qilC++Jbw5fvh0oePSDEYuv/MddddMRel13PtpD4lXgin/Zh/igm4Que0U91bvocaSNwg8+hnpsQmcG7H4ifu9PPU7an4xGp2VBcm3I7gwLvdrxQtiz46DtGoXyJ4TG0lJTuHNse9mrvtzzxq6te6PlbUlK375F5YWFuj0eg7tO8aaH0zPxjRuVp8pM8aY3iZ35DSz3jSVkwqV/Jk6eyKaBkrB1//6gSuXrhU4ruBdZynRpja9DpkaoQez1bc9ts9lYwdTfXt06goCPx2O3saKe3uCMl83W396f9yqlUHTNBKCozhivsbSHiRxcdkWum2eDZpG8O4ggncVrj/yyp6zVGpdh4n7PiU9OZX1U7LKwOjN81jSZSpOPm60HvM8Edfu8camuaZYv9/OybV7OfXzXnovfJ2JexeSHJvImjGmN0X5N6xC24l9MGZkoBk1fp+2nOQHiYWK7erus1RsXYex+xeSnpzG75OzYhu5eR5LzW+iav/Oi9R8rimWtlZMPPo5p9fsYe9n69k+ZxXdF7xK42GdQIMNk0zbp8QlceSbLbz2x/ugaVzdE8TV3QXPt9079tOmfXMOntpCSnIyE0dnjd5v27cu821P895dyKKl83lv3tvcj4pm4mjTmwWnvzcJe3s7ln63EMh65WyFyuX4YOFMjEYNnU7xr0XfcvXKU98eiWeM0grx2swiPbBS1sAGoCxwBXAB3gVsgXmYRiQiNE1rr5RyA5YD5YAkYLimaeeUUrbA70AJ4BjQBOgMVAY+AoyYbvpHaZp2Uik1BhiN6bmI1ubGSX1N06KUUi8DUwADpuc7hiilVmCa3rTOHHOCpmkO5t/HkdVoSQBeAio8elzgnjlGG0wjHh9rmpaz2/4RTzst6p82of47xR1CvmpnWBZ3CPkaFfH4KVzF5Q2/5sUdQr5mVH3y9LLisutsyeIO4b/OLEPBR1v+0xar8sUdQp5GGnL/Xx/PipnW/9yzDv+uq5bPbm+upfZ0/4fUP+2b+MK/Qvo/JTj6wjOXaanXjz4z92jW5Rs/c/kDxThyoWlaKqaGQF62PJI2GuiZxz6SMT378KhbmEYXHk3/OfB5ts9ls/3+PfD9I+mHPPLZIdvvi4BF5HQ9r+NimhYlhBBCCCHE/7TifluUEEIIIYQQ4n9Ecb8tSgghhBBCiP8Oz/CD1M8KGbkQQgghhBBCFAlpXAghhBBCCCGKhEyLEkIIIYQQoiA0mRb1JDJyIYQQQgghhCgS0rgQQgghhBBCFAmZFiWEEEIIIURBGA3FHcEzT0YuhBBCCCGEEEVCRi6EEEIIIYQoCHmg+4lk5EIIIYQQQghRJKRxIYQQQgghhCgSMi1KCCGEEEKIgjDKtKgnkZELIYQQQgghRJGQxoUQQgghhBCiSMi0KCGEEEIIIQpC3hb1RDJyIYQQQgghhCgSMnLxDJpQ/53iDiFPn56cX9wh5Gtx3ZnFHUK+rlSqUdwh5MnCKqq4Q8jXjEvexR1Cvro9ow/z3bTSF3cI+dpb0b64Q8jXzmvP5tfgTi/P4g7hMSKKO4B8OUV6FHcI+eo47tm81gb8ULK4QxD/Y57NK10IIYQQQohnzTPawfQskWlRQgghhBBCiCIhIxdCCCGEEEIUgKYZijuEZ56MXAghhBBCCCGKhDQuhBBCCCGEEEVCpkUJIYQQQghREPL/XDyRjFwIIYQQQgghioQ0LoQQQgghhBBFQqZFCSGEEEIIURDy/1w8kYxcCCGEEEIIIYqENC6EEEIIIYQQRUKmRQkhhBBCCFEQ8raoJ5KRCyGEEEIIIUSRkJELIYQQQgghCsJoKO4InnkyciGEEEIIIYQoEtK4EEIIIYQQQhQJmRYlhBBCCCFEQcgD3U8kIxdCCCGEEEKIIiGNCyGEEEIIIUSRkGlR/4V6zxpC9dYBpCWnsnLylwRfvJljvaWNFcO+mIBHGW80g5Hzu06x8YOfMtcHdG1Ml/F9QNO4d+k2K8Z9DoCrnzsDFozA1c8DTdP4cugCooMjCxTT9HkL2X/oOG6uLmz4cWmu9ZqmMf+zpRw4cgIbG2vmTptEtcoVAPh98w6++n4NACNe7s9zXdoDcPHyVabPXUhKairNmzTgnfEjUUoVPsOA1u8Nwr91HTKSU9k6aRkRF27lStNsSh+qvxCItbM9n1d9NXN5rZfaUGdwezSDkfSkFLa//S3RV0My1zv6uTNk1wcc+XQ9J5dtLlRcts3q4/H2SJReT9yvW4j99ucc650H98LphU5oBgOG6AdEzlhIRmgEVpXL4TljDDoHezSjgZhla0jcug8Apxd74DLoeSxL+3EzsA/G2LhCxfSQTdMGuE1+HfQ6En7bQtyKNTnWOw58AYfnu4DBgCEmlvvvfYwhNCJzvbK3w2/dtyTtPUTMB0tQNtZ4fDATy5K+aEYjyfuPEvv5N08VW99ZQzPLwA+Tv+BuHmXgtS8m4lnGG6O5DGz4YDVgus5f/uQN7JzsUTodGz5YzcW9Z7B3ceC1LydSplYFjq7by9pZywsdl2fr2lSbMxil13F31R6uf74xx3qdlQW1l7yOcy1/0mISODN8Ecl3o/BoUZMq0/ujrCzQ0jK4NHs19w9eBKDBT29j4+2C0uuJPnaZC28vB6P2VPnW/L1BlGljKge7Ji4jMo9y0PjNPlQ2l4NlVbLKgc7KgvafjcSzpj8pMfFse30J8cFRALhXKUXrBa9g6WALmsbP3WZiSE0vUExWDRviNHY06PQkb9pE4qrVOdbb9e2DXbeuaAYDxthYHiz4EGN4OAAOI4dj3bgJAIk//EDK7j05tnUcOwbbLl2I6NS5wHn0qPrvD6KEOc+OTFhG9PlbudK41SxLk89GYGFjxb3dZzk5Y2WO9VVHdKberIH8UmMkqdEJeDepSsvvJpBw11S/3t18gvOfbihUXLbN6uP+1iiUXkfc+q08+HZtjvXOg1/AsZep7jBGPyBy5ieZdYfHjLHo7O3QjEZil/1E4rasusP5peexLF2CW817P1Xd8U/E5TlnMjb1amFMSAQgcvpHpF25UejYAGrNGYxP2zoYktM4NW4psXmcT5da/tRbNAK9jRVhu85ybvoPAFi62NPwq7HYl/Ik8W4kx4cvJv1BIh5Nq9JkxSQS75jqv5DNJ7i88LdCxaUvVxOrdgNBpyPj7D7Sj27Ksd6iZiBWbfphjI8BIOPULjKCTPmjnNyw7jIM5egGaKT8vBDtQRTK2QPrnq+jbB0wht4i9Y+vCv2mI7vAenhNHQU6HQ/WbSXmm5zfUS4v98K5d0cwGDFExxI2/VMyQkz54PRcO9xGvQhA9Jc/Eff7TgBKLJuDhacbWOhJPnmBiPf/Bcb/oqlG/02xFpNnsnGhlHoXSNA07eNn6fhKKT9gsaZpvZVSrYDJmqZ1U0r1AKppmrZAKdUT+FvTtL/+idiqtaqDp78P77UaR9mAivSfO4yPe07PlW7X139y9chF9JZ6xqyaQbVWdfhr71k8y/rQ4fWeLHxhJslxiTi4O2VuM3jhG2xb8huXD57Hys4arRA3MD27tGfACz2Y+n7ep+zAkRPcCQ5h89pvOXfxMu9/vISfvv6MB3HxfPndatZ+uxiAfsPG0iqwMc5Ojrz/8RLefWsstapXYdTkmRw8epLmTRoUMsfAv3VtXMv6sLzFJHwDytNu7hBWP/durnQ3dp7m7Pc7eGVfzr/h8oYjnPtxNwDl29el1YyXWD/4w8z1rWYO5ObeoELHhU6H5/Q3CHntHTLCoii59nMS9xwl/cadzCSpl64T3G8MWkoqTv264T7pVcInz0NLSSVi6kek3wlB7+lGyZ+XkHzoJMb4RFLOXCRk3zH8vvvwMQd/cmxub40h4vW3yAiPxPfHf5G87zDpN7NiS7tyjbCXXkdLScWhd3dcxw0n6u05metdRg0h9fT5HLuNW/kzqSeDwMIC768+wqZpA1IOnyhUaNVbBeDl78OsVmPxD6jIi3Nf5cOe03Kl2/n1H/xtLgPjV82keqs6XNx7ls6jX+D0piPs/3EHPhVKMHrFO0wPHE16ajp/fLIWv8ql8atUqpAZBugU1RcM5VjfeaSE3Cdw21zCt50i4e97mUlKDWhNemwiextPwLdnE6rMGMCZ4YtJi47nxKCPSQ2PwaFKSRqteYdddd4A4Mxri8hISAag7rfj8e3RmNANRwodXpnWtXHx9+HH5pPwDihPy3lDWNfj3Vzpbu44zbkVO3hpf85yUK1/K1JjE/mx+SQq9mhM06n92fb6EpReR/vFo9gxbin3L93BxsUBY3pGAfNMh9OEccRMnIwhMhL3ZUtJOXgIw+3bmUkyrl4l6rURkJqK7XM9cBw1ggfvzsa6cWMsK1bi/rBXUZaWuC36jNSjx9CSkgCwqFwZnaNjofMpO782tXH09+H3ZpPwqFuehvOHsLXbu7nSNVwwlGNTviHq9HVa/zgFv9a1CNlzDgA7Pzd8W9YkwdwQeyji2BX2vvzJ0wWm0+ExbTShw98mIyyKEms+J2nPkUfqjmvE9R+NlpKKY99uuE18lYgpD+uOD8kw1x0l1v6L5MNZdUfSvmP4Lv/omYoLIHrh1yTuOPB0cZl5t62DQzkftjeZiGvdCtT54BX2dpmZK12dD17h9KRviDl9jaar38S7TW3CdwdReUwPIg9c4NCSP6g0ujuVxnTn4hxTp0vUscscGfSUtyxKYdVhMClrPkSLi8ZmyLtkXD2Ddj8kR7KMS8dJ274y1+bW3YaTdvgPjLcugqU1aKbvbqvW/Ug/vg3DpWNYdXwZi9otyTizu+Bx6XR4zXiDe8Omkh4eRZmfF5O45yhp13Oezzt9NqGlpOLcvyuek4cROnE+OmcH3N4YyJ0+Y0CD0us+J2HPUYxxCYROmIcx0VROfRdNx7FTc+I373uKjBPPKpkWVQiapoVomtY7j+UbNU1bYP7YE6j2T8VQq0MDjq/fD8CtM1exdbTHydMlR5r0lDSuHjH1ehrSDdy9eBMXHzcAmvZvy/4ftpMcZ6qwE+6beqZ8KpRAp9dz+aDpZjAtKZX0lLQCx1W/Tk2cnfL/It9z8Cg9OrVFKUXtGlWJj08gMiqaQ8dO0aRBAM5Ojjg7OdKkQQCHjp0iMiqaxMQkateoilKKHp3asvtA4W+oAMp3qMdfvx4EIPTMdayd7LH3csmVLvTMdRIjYnMtTzPf2AFY2mZV3AAVOtTjwZ1I7me7gSwo65qVSb8TQkZwGGRkkLBlL/ZtmuRIk3IiCC0l1fR70CX03h4ApN++R/od0xePITIaQ/QD9K7OpngvXycjJLzQ8WRnVaMyGcEhZNwLhYwMErftxbZVsxxpUk9mxZZ6/hJ6L4+s7atWRO/uSvLRk5nLtJRUU8MCICODtEtXsfD2LHRstTvU56i5DNw8cxW7fMrA39nKwJ2LN3HxcX8YCTYOdgDYOtkRG27qCUxLTuX6ySukpxb8us/OpW4Fkm6GkXw7Ai3dQMiGI3h3qp8jjXenegT/bIo97I9jeATWACDuwi1SzXEkXA5GZ2OFzsrU9/OwYaEs9KZl2tONWvh3qMdlczkIN5cDuzzKQfiZ6yTlUQ7KdajL5XWmm7trm45Tsll1AEq3qMn9S3e5f8l0w5ESm1DgjgnLqlUw3LuHIdR0naXs2o1NYM7rLO3MWUg1XWfpf/2F3tN0zejLliEtKAgMBrSUFNJvXMe6UUPTRjodjqNGEr809yhqYZTqWI+b60x5FnX6OlbO9tg+kme2Xi5YOtoSdfo6ADfXHaRUtvNe792XOD1nzVOft7w8WnckbtmHfeumOdJkrztSz13KLGvpt++RkaPuiEVXRHXHPxVXUfHrWI87P5uu4ZjT17B0ssPmkfNp4+WCpYMtMaevAXDn5wP4mc+nb7btsy//d+n8ymGMCUeLjQSjAcOlY1hUqlugbZW7H+j0poYFQHoqZJjqMH2ZqhgumzpvMi4cRF/AfT5kU6sy6XdCSQ8Og/QM4jbvy/UdlXz8XLbvqMtYmL+j7JvVJ+nwGYwPEjDGJZB0+Az2gab8etiwwEKPsrRAK8KyIZ4Nz0zjQik1TSn1t1LqIFDZvOw1pdQJpVSQUupXpZSdefkKpdRipdRhpdQNpVTvbPt5Syl13rzNAvOy8kqprUqpU0qpA0qpKubl3ZVSx5RSZ5RSO5VS3tlCqq2UOqKUuqqUes2cvqxS6kIesQ9RSi1RSjUFegAfKaXOmo97Olu6itk/Pw0Xb1diQu5nfo4Nu5/ZcMiLrZMdNdvW48ohU9he5Xzx8vdlwrrZTPptDlVb1s5cnhyXyKtLJ/HWpgX0fGcgSvd0U5DyEh55H59sN5/eXh6ER0YRHhmFj1fWDaa3Z9Zy7+zpPT0Ij7zP03DwcSU+NGvb+LBoHHxcC7WPOoPbMezAJ7SY2p/ds8xD5HbWNBjVjSOfrX+quCy83MkIy5p2lhEehUW2v/lRTr06kXQgdy+/dY3KKEsL0u+GPlUcecbm6UFGWNYUJ0NEJHov93zTO/TsRMohc2xK4TphJDGffpVveuVgj22LJqQcP1Po2Fy83YgJyeoFjilAGajVth5XDpkazn9++gsNezZn3pEvGf3dO/z8FNOf8mLj40pytrKZEnIfm0euMxtfN1LumdJoBiPp8UlYuuVslPt0a0jc+ZsY07J6/xuueZv2F5eSkZBC6B/Hnio+Bx9XErLFlxBauHJg7+NKfEh0Zuxp8UnYuDrgUs4HTdPo8eOb9N08h4CRXQu8T52HJ4aIrDJgiIxE55l/g9O2a1dSjx0HIOO6uTFhbY1ydsYqIACdlxcAdr2eJ/XQIYz3owscS57H83ElMVueJYZEY/tIntn6uJIUGp1nmpId65IcFkPsX3d4lGe9CnTdMZfWP07BuVKJQsVl4eXxSN0Rid47//Lp2KsTSQfzqzssySiiuuOfjMt1zBBK/LoU9zdHgqXlU8Vn4+tKckjWuUoOjcbG99Ey6kpyaN5prD2dSTE3vFMiYrH2zGr8uNWrSJtd82m6+k0cKxfufCoHV7S4rGNq8dEox9xlU1+5PrbD5mD9/GjzFCjQufmgpSZh3WsMNkNnY9m6HygFtg5oqUmZbzbS4mLQ5bHPx8nrO8ryMefT+YWOJB4wdShZeOfx/ZZt2xJfz6X8wTUYE5NJ2HawUHEVO8347Pw8o56JxoVSqh7QH6gDdAEezn1Zr2laA03TagOXgGHZNvMFAoFuwMNGRGfgOaCReZuH80KWAWM0TasHTAa+MC8/CDTWNC0AWAO8mW3/tYA2QBNgpnlK1GNpmnYY2AhM0TStjqZp14EHSqk65iRDge/yyYPhSqmTSqmTF+OvP+lQBaLT6xiyeCx7V2zl/l3TjaJer8PL34dF/d9jxZhFDJg/HFsnO3R6PeUbVOW3uSv5qMdUPEp707h3qyKJ43/B2R928m3zSeyfv4bGY3sC0HRCL059u5X0pNR//PgO3dpgXb0isd+ty7Fc7+GG1/wpREz/pEh7RgvDvktbrKtV5sEPprm4jn17kHzoGIaIqLw30OvwnD+N+DW/mUZG/kE6vY5hi8exZ8UWosxloEGPZhxZt5epTUaxZOh8hnw65qmf5SlqDpVLUmXGAM5PzvksyvH+C9hZ63V0VhaZox3PCp2FHr8Gldg+5gvW95pN+U71M0c1ipJN+/ZYVq5M4k+maShpJ06SevQY7l/8C5eZM0i/eBGMRnTu7ti0akXS+sLNeS9qelsraozpQdBH63Ktiz5/i98ajmdT+2lcWb6dlssn/GNxOHRri3W1SsR+90vO+Dzc8Jz3JpEzPi6WuqMwcUV/tpzgHsO4138MOidHXIb1/Y/HmydztsWeu8XW+mPZ3fYdrn+7nSbfTSryQ2VcO0PyF5NI/nY6hpsXsO72mmmFToe+ZCXSdq8hZcW76Fw8sajZvMiP/ySO3dtgXaMiMd/mvt7zcu+1adxoMQBlZYld49r/cHTiP+1ZeeaiOfCbpmlJAEqph09B1lBKzQFcAAdgW7ZtNmiaZgT+yjbi0A747uF+NE2LVko5AE2BX7LdQFib/y0JrFVK+QJWQPanQn/XNC0ZSFZK7QEaAmef4m/7BhiqlJoI9DPvJxdN05ZhagQxumy/HDV9i0EdaPpiWwBuB13H1S+r9e/i405sWN69cy/OH07kzTD2Ls96yDg2LJpbZ69hzDBwPziSiJuheJb1JTYsmuBLtzIbIUHbT+AfUJEjP+/Jc9+F5e3pTli2m83wiCi8PT3w9vTgxJlzWcsjo2gQUMs0UpE9fWQU3p7595g8qs7gdtR8sTUAYedu4Oibta2jjxsJYTFP9Xdc3niUdnOHAuATUIGKXRrS4p3+WDvZoWkaGanpnP1+R4H2lRFxHwufrF5aC28PMvK4IbdtHIDr8BcJGTIZ0rMeklX2dvh+MZvoxStIPXf5qf6efGOLjMLCxyvzs97LE0NE7pEjm4Z1cR42gLBXJ2XGZl2zGtYBNXHs0wNla2sa9k5KyXx42336RNLv3CN+dcFHfFoO6kizHGXAA7gCgOtjysDA+SOIuBnG7mxloGm/Nix5eR4AN09fxdLaEgc3R+LvP92D7w+lhMVgm61s2vi5k/LIdZYSGo1NCXdSQqNReh2WjnakR8eb0vu6Ue+7iQSN/oKk2xE8ypiaTvjWU3h3qkfU/vO51uel5svtqGYuBxFBN3DIFp+Db+HKQWJYDI5+biSGmWK3crQjJSaBhNBoQo5dISUmAYBbe4LwrFGW4EMXn7hPY1Qk+mwjl3pPT4yRuV8iYVWvHg6DXyJ6zLgcZSBx5Y8krvwRAOcZ08m4exfLihXRlyiB5+pVAKYXCaxeRdSAgQX6OysNaUeFgaY8u3/2BvZ+7jyMyN7PjeRH8iw5LAY736yRs4dpHMt44VDak647Tdeana8bXbbNYUuXWaREPshMH7I7CN38IVi7OZAanVCgGDMioh6pOzwxhOcun7aNA3B57UVChuauO3z+9T4xnxdt3fFPxWWIMpfv9HTiN2zDeUiu2cn5Kje0PWXN5zPm7A1s/bLOla2vGymhj5bRGGx9806TGvkAGy8XUiJisfFyITXKdB4zsk2dDd91FrVgKFZujqSZy/aTaAkxKKesYypHN7T4R8pmcmLmrxlB+7Bq3c+0bXwMxog7pilVgOHqaXR+5eHcfpS1HSgdaEaUk2vmw+AFldd3VHoe59OuSQBuI/oTPHgKmvl8ZoTfx7ZhrRzbJh8/l2M7LS2dhN1HcGjThKTDhR/FFs+uZ2Lk4jFWAKM1TasJvAfYZFuXvbv4cd2OOiDWPJLw8Keqed3nwBLz/kc8sv9Hu3KetmvnV6AzphGWU5qmFXpuz/6V21nQ5S0WdHmLc9tP0LBXCwDKBlQkOT6JuMjc86O7TeqHraMdv87+PsfyoO0nqNjY9EiIvasjXv6+3L8Tzu2ga9g62eNgnqJRuWkNwq4GFzbUfLUKbMzGrbvQNI2gC5dwcLDH08ONZo3qcfj4aR7ExfMgLp7Dx0/TrFE9PD3csLe3I+jCJTRNY+PWXbQObFzg4539YScrO09jZedpXNt2imovBALgG1Ce1PikPJ+tyI9L2azZcuXa1iHmVhgAa3u/zzfNJvBNswmcXr6N40s2FrhhAZB64QqWpUtgUcIbLCxw6NyKxD1Hc6SxqlIez1ljCRs9C0N01g0JFhb4LJpJ/MZdJO4o+iHltItXsChVAgs/H7CwwL5jK5L3Hc6RxrJyBdymjSdi/EyMMVn5GTV9Pve6DuBet5eI+ewrEjbtyGxYuLw+FOVgT8zHX1AY+1ZuY16XN5nX5U2Cth+nsbkM+D+mDPQwl4FfZq/IsTwmJIrKzUy9/z7lS2BhbflvNywAHpy5jn05H2xLe6Is9fj1bEL4tlM50oRvO0XJvqbYfbo3Isr8RigLJzsarHqTK3N+IubE35np9XbWWJvnhCu9Dq/2ASRcy/mQ5+Oc/34naztNY22nadzYdooq5nLgHVCetPikPJ+tyM/NHaep0tvUI1qha0OCD5neWXFn3zncqpTCwsYKpddRolEVoq8W7Bmk9MtX0Jcsid7XdJ3ZtG1D6qGc15lFxQo4TZ5IzDtTMcZmi1enQzmZXkhhUa4cFuXLm0czjhL5fC8i+/Unsl9/tJTUAjcsAP5esZPN7aexuf00greewr+3Kc886pYnLS6J5EfyLDkilvT4ZDzqlgfAv3cgd7edIvZyMOtqvcGGRhPY0GgCSaHRbO44nZTIB9hkm07jXqccSqcK3LAAc91RpgQWJczl8//Yu+/wKKr1gePfs5veE5KQhCKhSe+9SK8qqNcK9gIooiCCFBWuAmIFFHuXi6IiFxtSQze0hKCA9BrSE9LblvP7Y5dk00iCUeL9vZ/n4XmyM2dmX868U86cM7Mj+pGzpeQzaS4tmhD4/JMkTHoea5pDzE5OhCyeQ9aPq8WC7AAAIABJREFUG//0A9J/V1zGQIfG28BemE6cqXJMpz7dQMTgWUQMnkX82n00vN2Ww/6dmmLKyisa5nRJflI6puw8/DvZ3mbY8Pa+xNn34/j10UXLN7y9L/H26Y7Do/w7NkEpVeWGBYA17jQG/7oo30AwGDG27I75eMmLbeVZ/B3GZp2w2h/2tsafAlcPcLeduw3XtMKaYn925ewfGFvYBoI4temD5Xj1RmXn/34U52vCbOcoZyd8RvYrc45ybdmE4LmTiJs4t8Q5KmfnPjx7d8Lg44XBxwvP3p3I2bkP5eGGMci+PY0GvPp1o/DU+WrFddVZrbXnXy1VW3outgGfKaVewhbTjcD7gDcQr5RyBsYClZ2xNmAbwrRca52rlAqw916cVkrdprX+Vtm6L9pprQ8Avg7rvK/Uukbb4/EE+gMzsPVuVCbLHjcAWut8pdQ64F1KDuu6Ioc276f1gI7M2boEU14h/5n2btG8GWteZuHIZ/ALCWD4pFtIOHGBZ362PWe+9fN1RH4dwR9bD9Cybztmb3gdbbGy+qXl5KTbTmqr5y9j0vLnUEpx7uApdq7YVOW4ps1ZyN79v5Gensmgm+7msYfuwWy2jRm/4+brua5nV7ZH7mXE7Q/i7ubGi7NswwB8fbwZf/9d3PnwkwBMeGBM0YPhz06dWPwq2h5dr+hNUQCnI2JoPKA9D21/HVNeIeue/qBo3j2/zGfZCNubhq6bdSctRvfC2d2Fcbvf5PcVW4hctIqO9w+lYZ/WWE0W8jNyWPtUxc8SVIvFSsqCtwl9f4HttY3/XY/p5Fn8J95LwaFj5G7ZRZ2pj6A83Kn7hu2NYOb4JBImzcVr+HW4d26L0c8H75tsr+5Nmv0ahUdP4Tt2NH4P3IYxMIAGq94jd/sekucsrnZsaS+/RfDbC8FgIPuHtZhOncV3wn0UHj5G3rZI/CePw+DhTtArz9liS0gieUrZN69cYgwOxPfhsZhOnyX0S1veZn39Pdmrf6lWaAc376fNgE68sPVNCvMK+WJacUNl1ppXWDByOn4hAYyY9C/iT8Qy8+eXAdj6+Vp2fh3BynlfcPfC8Qx66Hq0hi+eLl5+3o6luHl5YHR2ov3Qrrx5zzwSTlTtQllbrByc+RndVsxEGQ3EfrWF7KOxNJ9+K+kHTpO0LorzX26hw9LH6L9rEab0bKLH214D3eihYXiE16Xp1FtoOvUWAPbc8RIoRZcvnsbg6owyKFJ3Hubc5xurVV+XnI2I4ZqB7blnx+uY8wrZNLV4P7hj7Xy+Hm7bD3rNupPmN9n2g/v3vMnhr7awZ9EqDq/YypDFE7h7++sUpGezbuJSAAoycon58Bdu++kFQHM24gBnI6rYyWuxkLl4Cf6vvQoGA3lrfsF85gxeDz6A6ehRCnb+ivejj6Lc3fH7979tiyQlkj5zNjg5UWep7S1z1pxcMubNB0v1XrNZmQubYggb1J7Rv9rqLHJKcZ2N3DCfNUNsdbZn5mf0WjwOo5sLcZsPEBdx+bfHNbyhG83vHYQ2WzDnm9j+6NvVC8xiJWXBUkLesx07sv67rsyxI+DSseN1+/4Zn0TiE3PwGt4Pt85tMfj54D16KFD8alefMTfh9+BtGOsEUP+798ndvoeUuYuuelzBC2dgDPAFFAVHT5LywpLq1ZddwsYY6g7qwNBdi7DkFRA1ufhYPnDjAiIGzwIgZsYndF4yAaObC4kRB0jcZMvnY2/9QLcPnqDRmAHkxqawe5wtjno3dqfxfYOxmi1Y8wvZM+Gt6gWmrRRuWIbbndNAGTD/tg2dcgHnvjdjjT+D5cR+nLoMxalZR7TVAvk5FPxkHzqpNYURK3Af84xtEyScwRyzBYDCLd/gOvoxXPr9C2vCWcwHtlUvLouV5HnvUP+j+WAwkLlqPYUnzlJn0j3kHzxOzuZdBE57GIOHO6GLbPuCOT6ZuIlzsWZkk/rulzT8xraPpr6zHGtGNsY6ftR7ey7KxRkMitzdB0j/+ufLRSH+gVRteUpfKTUb2wV+EnAOiAZysD0HkQzsBry11vcrpT4DftJar7Qvm6219rL/PQO4FygE1mitZymlwrFd3IcCzsAKrfULSqnRwCLgIhABdNVa97e/irYx0AwIBF7RWn+olGpk/942pV5Fez/QRWv9uFKqN/Ahtp6VW7XWJ5VSPYCVwDVa60rPfqWHRdUWi/a9dLVDqNCbnSq+qL3abvKp2m+F/N2cXGr2QqwmLUyr+AHtq+2GPOPVDqFcp11qZ1wAt4bXXC9oTdt4ov7VDqFcveqUHRonKheTXPFLMa62YU9e2YPof7ULX/y5twv+lZr/sbZ2PBDnIH/7slpzjebW955aVz9Qe3ou0FrPB+aXM+vdcsreX+qzl8PfC7E/4O0w7TQwvJz1fA98X870uRXEeAZoY/97C7DF/vdn2IZwobXeSdlX0fbB9ixI7b2aE0IIIYQQ4k+qNY2L/1VKqf8CTbC9eUoIIYQQQoj/WdK4+ItprW++2jEIIYQQQog/7582CEUpNRxYAhiBjxx+9PnS/IbA59jezGoEZmit15RZUTXU9rdFCSGEEEIIIapJKWUE3sb21tJWwF1KqdJD958FvrH/5tudFP8W3BWTxoUQQgghhBD/e7oBJ7TWp7TWhdh+MHp0qTIa8LH/7QtU/X3nFZBhUUIIIYQQQlRFLfp9CaXUOGCcw6QP7D/KfEk9wPGHRGKB7qVWMxdYr5SahO3nFwb/2bikcSGEEEIIIcQ/jL0h8UGlBS/vLuAzrfXrSqmewDKlVBut9RW3omRYlBBCCCGEEP97LgANHD7Xp+wPUj8EfAOgtY4E3LD9xtsVk8aFEEIIIYQQVaGttedf5fYCzZRS4UopF2wPbP9Qqsw5YBCAUqoltsbFn/r1X2lcCCGEEEII8T9Ga20GHgfWAX9geyvUIaXUC0qpUfZiU4FHlFIHgK+A+7XWf+pXyOWZCyGEEEIIIaqiFj3QXRX236xYU2ra8w5/HwZ61+R3Ss+FEEIIIYQQokZI40IIIYQQQghRI2RYlBBCCCGEEFVx5W9o/X9Dei6EEEIIIYQQNUIaF0IIIYQQQogaIcOihBBCCCGEqIp/2NuirgbpuRBCCCGEEELUCPUnfydD/AU+rH93rdwombW4KfpE9AtXO4QKbWo962qHUK4UY+3tuLzGmn+1Q6hQMi5XO4RyudXihwxzDMarHUKF8gzqaodQrnpm09UOoULnnZyvdggVcq3F1zSHXGpnbIPzam+u9U/8ttbtoHnr36k1G9J96GO1rn5AhkUJIYQQQghRNbX4Rk5tUYvvRQshhBBCCCH+SaTnQgghhBBCiKqQB7orJT0XQgghhBBCiBohjQshhBBCCCFEjZBhUUIIIYQQQlSFDIuqlPRcCCGEEEIIIWqENC6EEEIIIYQQNUKGRQkhhBBCCFEV8jsXlZKeCyGEEEIIIUSNkMaFEEIIIYQQokbIsCghhBBCCCGqQt4WVSnpuRBCCCGEEELUCOm5EEIIIYQQoirkge5KSc+FEEIIIYQQokZI40IIIYQQQghRI2RYlBBCCCGEEFUhD3RXSnouhBBCCCGEEDVCGhdCCCGEEEKIGiHDov6Ber5wDw0GdsCcV8DWKR+QevBMmTKBbRvRb9F4jG4unI+IIfL5ZQAMfOdx/JqEAuDi40FhZi6rhs3G4Gykz8KHCGofjrZaiZzzH+Ij/6h2bAP+fQ/hA2yxrZ36AUnlxNZ72m20/lcfXH09eavlw0XT2909kA73DkFbrJhy81k/42PSjscVzfcOq8P9m14mctEq9n2wpsoxPbvgDbbt3EOAvx+r//Nemflaa15a/B7bI/fi5ubK/NlTaXVtUwC+X7OB9z9fAcD4++5k9MghABw6cpxn579BfkEBfXt2ZebkCSilqhzTJYED2tNy3n1gNBC7PILTb/1QYr5ycaLd0on4tAvHdDGbA+OWkHc+Gd+OTWj92iP2QooTr64k6Ze9ADj5eNDmjfF4tagPGg5OeY/0fcerHRtAlxfvoZ491yKnfEDa72fKlAlo24iei8fj5ObChYgY9j23rMT8luNH0HnOWL5tM4GCtOyi6XXaN2bYj3PY8ehSzv28t8ox+Q/oQOMXH0AZDSQs30Ts0tUl5isXJ659axJe7RpjupjNkfFvUHA+GeVkpNkbj+LVNhxlNJL47VZi3/ovAF33voMlOw9tsaItVmKGPVONWiqp3bx7CRnUAUteIVFPvkd6OXXm1y6czkts+2fCphh+e/YLAJz9POn2/hN4Nggi53wye8a9iSkjh9BhnWn1zG1oqy2+355bRuqeo9WKK3BAe1rNuw9lNHB+eQSnSuWawZ5rvvZc2++Qa20dcu34qytJ/MVhexkUvdcvoCDhIvvufqVaMV3S4cV7CR3UHnNeIXsnv19BnTWi2+IJGN2cid90gJjnbHVW/4ZutHr6X/g0C2PTyOe5eOA0AB71Axm+7VWyTsYDkBp9guhnPql2bF1fsO0DlrwCdk75gLRyjmkBbRvR2368vRARw97nS+4DrcaPoMvzY/m6zQQKLmbTesL1hN/SCwBlNODbrB7ftHuUwvScKscVMKA9zefdjzIaiFsewdm3vi8xX7k40XrpRLzbNcZ0MYuD45aQfz4ZAK9WDWnx6iMYvdxBa/YOm4W1wESHr2biUtcfZTSQvvsIR2d8DFZdzRqDbi/cQ337cWNHBXVWp20j+tjrLDYihj32Ouvw1C00G9OfgrQsAKIWfsOFiAMoJyO9X3uYOm0aoZwMnFy5g9+X/ljt2Dq9eC9hA9tjyStk15T3uVhOrvm3bUQPe67FRRwg2p5rHZ67i3pDOmEtNJN1NpHdUz7AlJmLwdlI11ceIqBdY7TVSvTzy0i6gvPn9XPupfmADpjyCvnu6feIP1Q2tsFP307HW/ri5uvJi60fLJruVy+Qm18Zh2eAD3kZ2Xw7+R0yE9IAGDrjTq4d0BGAzW/9l4M/7apyTAEDOtB0nu14G798E+feKnu8bbl0UlGeHR63iPzzyQT/qw8NHxtdVM6zVUOiBj9D9qEzKGcnmr30EH69WoFVc+qlr0j5eXd1qurqkrdFVUp6Lv5hGgxsj294CN/0mcqOZz6mz0v3l1uu90sPsH36R3zTZyq+4SHUH9AOgIjHlrJq2GxWDZvN6TV7OW2/SGgxZgAA3w2eyZq7Xqb7c2OgmhfL4QPa498ohE+um8qGGR8zeH75sZ3aGM3yUXPKTD+yOpIvhs5k2YjZ7H3vZ/o/d3eJ+f2fH8vpLQeqFRPATSOH8N4b8yqcvz1yL+di41jz9cfMnf4EL762FICMzCze/fRLvvpwMV99uJh3P/2SjEzbCe/F15Yy95knWPP1x5yLjWPHrn3VjguDotXCB9k3ZiE7+k4l9ObeeDavV6JI/TEDMKVns73HZM68/zPNnxsDQNaR80QOncWvg2YQdedLtH7tYZTRtju3nHcfKZtj2NFnKjsHTif72IXqxwaEDWyPd3gI3/eeyu7pH9OtglzrtvABdk/7iO97T8U7PIQwe64BeIQFENqvLdmxKSWWUQZFx9l3EL/19+oFZTDQ5KWHOTRmPlHXTSHo5j54NK9fokjImEGY03PY13MSce//RPiztjwKvLEnBhdnogdMZf+w6YTeOwTXBkFFy/32r7nsHzztTzUs6g7qgFfjENb3fIropz+iw8sPlluuw8sPEj31I9b3fAqvxiHUHdgegGsnjSJ5+0HW93qK5O0HaT7pRgCSth9k08AZRAyeRdTk9+n0+iPVC8ygaL3wQfaOWci2vlMJu7k3XuXkmjk9m609JnP6/Z+51iHXdg6dxY5BM9h750u0ccg1gPBHRpDjcBOgukIGtsercQi/9JpK1LSP6bTwgXLLdV74IPue/ohfek3Fq3EIIfY6yzgay68PLSZ515Eyy2SfTWTDkFlsGDLrihoW9Qa2xyc8hNV9phL5zMd0r2Af6PHSA0RO/4jVfabiU84+EHZdyX3g0Hs/89PQ2fw0dDb7F35D4q4/qtWwwKC4duGDxIx5iV19n6JuOceOsDEDMaXnENnjSc6/v4am9u2pjAZavf04R6Z9xO5+TxN187+xmswA/P7IYvYMnM7ufk/jUseHuqN6Vj0mu0t1tspeZz0vU2e/Tv+IVfY6q+dQZ4c/XMsPQ2fzw9DZXIiwHfMb3dANo4sT3w+eyY/Dn+PauwfiVT+wWrGF2o9pP/Weyp7pH9PlpfJzrevCB9kz7SN+sh/TQgfYci1h20HWDHiGXwbPJOtUAq0mjQKgydiBAPwyaAab71xIxzljq33+bN6/A3XCQ1jU/ylWz/qIUfPLP3Yc2RTNu6OfKzN9+KyxxKzaztIRM9i8ZBVDp99hW++ADoS1DuftkTN576bn6fPI9bh6uVctKIOBZgsf4rcx89nTdwrBN/cuc7wNHTMQc3o2u3tMIvb9n2hsP28nfbeDfYOmsW/QNP54/C3yzyWRbW8sXTP5FkwpGezp9SR7+k4hI/JwFWtJ/FPUysaFUmquUurpGliPn1LqMYfPYUqplX92vVfTNUM7c3zlDgCSok/i4uOJe7BfiTLuwX64eLmTFH0SgOMrd9BoWJcy62p8Y3dOfh8JgF+zesT9egiA/NRMCjNzCWofXq3YmgztzOHvbLHF7z+Jq48nnqViuzQvJym9zPTC7Lyiv53dXUEX3zFrOrQzGeeSSb2CC+UuHdri6+Nd4fzNO3YxavgglFK0b9OSrKxsklPS2Lk7ip5dO+Lr442vjzc9u3Zk5+4oklPSyMnJpX2bliilGDV8EBHbI6sdl1+npuSeTiDvbBLaZCFh9a/UHV5yO9Ud3oW4b7YBkPjjbur0aQ2ANa8QbbHdPTG4ORfVlZO3O/49WxK7fDMA2mTBnJlb7dgAGgzrzGl7rqVEn8TFt/xcc/Z2J8Wea6dX7qCBw/+h89y7iZ63osS2BLj2waGcW7OX/JTMasXk3bEp+acTyD+XhDaZSV69k4BhXUuUqTOsK4nfbAEg+adI/Pq0tc3QGoOHKxgNGNxcsBaasWTlUZPChnXm3DfbAbgYfQJnHw/cStWZW7Afzl7uXIw+AcC5b7YTZq+zUIflHadbcguKlnfycEPr6t1NLp1r8RXkWqw91xJ+3E1gJbkG4BYaQNCQTpxfHlGteByFDe/M2W9t/+e06BO4VFBnTt7upNnr7Oy32wkb3hmArONxZNt7J2pag2GdOVnNfeDkyh00dKjbrnPvJmp+2X3gkvDRPTmzunrHD59OTck7nUi+fXsmrv6VwOEl94Og4V2I/2YrAEk/7sK/TxsAAvq3I/vwObIPnwXAfDG7qHfCYj8GKycjysWp2nkG0NChzpIvU2cu3u4kV1Bn5dLg5OGKMhpwcnfBYjKXOGdURf1hnTmz0pZrqdEncPGtYP/0difVnmtnVm6nvj3XErb+XrQvpEadwCM0AACf5vVI3GG7QC5IzaQwI4eAap4/Ww7tTMwqW2yx+0/g5u2BV1DZ82fs/hNkJ5c9fwY1q8cp+zn8VORhWgyxxRzcrD5n9hzBarFiyisg8cg5mvVrV2b58tjyLMGeZ2aSVu8ksNR2ChzelQR7niU75Jmj4Jt7k7T616LPIXcN4Oybtl5jtMZk76US/ztqZeOiOpRSlxva5QcUNS601nFa61v/+qj+Op4h/mTHpRZ9zolPwzPEv0yZnPi0y5YJ6X4teckZZJ5OBCDtj3NcM6QTymjAu0EQgW0b4RlWp1qxeYX4kxVfHFtWQhpepb63Mh3uHcxD21/null3EjHHPlTEw5Wuj95A5OJV1VpXVSUmpxISXHwHrG5wIInJKSQmpxASXHxnu25Q8fS6juWDAklMTqW6XEMCyHPYlvlxabiGBJQsExpA3gVbGW2xYs7KwznA1lDy7dSU3ltfpfeWVzk07WO0xYp7w2AKUzNpu+RRem18idZvjMPo4Vrt2ADcQ/zJccy1uDTcS21P9xB/ch1zzaFM/WGdyEu4SPrhc2WWaTCiC8c+31TtmFxDAyiIK74DXBifimtoyTpzcSxjsWLOysUpwJuUn3ZhzS2gx28f0i3qPS68+wPmdPswLa1pu+I5Oqx7mZC7B1c7rkvcQv3Jiyuuj7z4NNxC/cuWiS+/jGuQL/n2hnd+UjquQb5F5cJGdGHI9tfo9Z9pRE/5oHpxhQSQ77At88rJNbfQAPIdcs1UKtf6bn2Vvlte5aA91wBavngfR15Yjr6CoTOXuIcEkOsQW258Gu6l6sy9nHp1LxV/eTwbBjF4/Xz6r3qWwO7XVjs2jxD/MrF5lNoHPErtA45lGgztRG78RS6W2gcuMbq5ENa/HWfXVH1YIJTdngVxqbiWiss1NICCEseOXJwDvPFoEgZa02HFLLpuWEjDiaNKLNdhxSz6HvoAS3YeST9WffjMJR6ljxsV1Fnpc5RjmZYPDGHUhgX0fv0RXHw9ADjz8x7MuQXcsX8pt+5ZzKH31lSvtwdbrjnGlhtXhe0ZV36uNb6rH/H2XpX0Q2epN9R2/vRsEERAu3A8qnn+9K7rT4ZDjmcmpOFTjfNnwh9naTW8GwCthnXFzdsDdz8vEv44S7N+7XB2c8HD35vwnq3xDa1abK4hARSUyLM0XENKLmvLM9vx1jHPHAWP7kXSf20NTicf2/YMf+ZOOm94mVYfPoWzw3HuH8FqrT3/aqla07hQSs1WSh1TSu0ArrVP26KU6mL/O1Apdcb+9/1KqR+UUhHAJqWUl1Jqk1IqWin1u1Lq0kC/hUATpVSMUupVpVQjpdRB+zrclFKf2svvV0oNcFj3KqXUWqXUcaXUZQcRK6Wy7es+pJTaqJTqZo/7lFJqlL1Ma6XUHnscvymlmpWznnFKqX1KqX3bcq5sfHx1NBnds6jXAuDoiq3kxKdx85oX6TH3bhKjjhddQPydYr7YyMd9p7LtpRX0eOImAHpNuYWoj9dicrh7KyAj+gQ7+00jctgsGj85GoOrM8rJiE/bcM59voFfB8/EkltA+KTRla+shhndXWgzaRQHXi3bUdjl33ez/zJ3cv8q3h2boi1Wdrcfx95uj1Fvwo24NQwG4MCo59g/dDqHxs4n9IHh+PRo+bfGViGHKor7ZR8b+j5N5ANv0OqZ2/7WMDKiT7C93zR2DptFE3uuBQ/pRGFKBpm/nf5bY6mq/KR0fu7yJBuHziZm7n/o/vZEnKo6HKQGGN1s+0DMaxV3ljcY2pGkfceqfZH8ZyijAb/uLTj02FtEjXqe4JFd8e9bfLc55s4F7Gg3AYOLMwHl3IX+qx35YiPf9XqKH4bOJjcpna7PjwUgqENjrBYrX3eaxHc9nqL1+JF4NQyqZG1/jVZPjMZqtnBm1U4ATq3YSm58GsPWzqPTC/eQsu84+m++8Fs7fzmNurfgsZ8X0KhHSzLiU9FWKye2/86xzTGMWzWX2998nPPRx7H+jbF5d2qKJa+QnCPnAVuvmFu9QDL3HiVqyDNk7jtGkzn3/m3xiL9HrXigWynVGbgT6IAtpmggqpLFOgHttNZp9t6Lm7XWmUqpQGCXUuoHYAbQRmvdwf49jRyWnwhorXVbpVQLYL1Sqrl9XgegI1AAHFVKvaW1Pl9BHJ5AhNZ6mlLqv8A8YAjQCvgc+AGYACzRWi9XSrkAxtIr0Vp/AHwA8GH9u0tcdbW6b3DRMxHJB07hFVaHxEtfHhpATsLFEuvKSbiIp8Pd3NJllNFAoxFdWT2yeNymtljZ9e/lRZ9HrX6ejFOVDzXocO9g2t5liy3ht1N4O9wR8Q4JILtUbFV15IddDJ5vGw8b0rEpzUZ247qZd+Lq44HWGnOBiZjPN1zRukurG1SHhKTiu+GJSSnUDQqkblAge/f/Vjw9OYWuHdvZeiocyyenUDeoenepAAoS0nB3uLvlFhZAQUJayTLxabjXq0NBfJptOIC3e5ku5JzjcVhy8vFq0YD8uFQK4tLIsHfpJ/64m/BJJe9MXk7z+wfTdKxte6bGnMIzrA7J9nmeYQHkldqeeQkXi4YGOJbxviYYr4ZBXL9xAQAeoQGMXDePX0bOoU77cPq8+zgArgHe1BvUHqvFSuzaynZ5W324hhX3GrmE2urGUaG9TGF8GhgNOHl7YE7LImhaXy5u3o82WzClZJK59yheHZqQfy6JQnu9m1IySf1lD94dm5G5q2oPZDZ+YAiN7HV2MeYU7mHF9eEeGkB+fMk6y4+/iHto+WUKkjNwC/YjPykdt2A/ClIyynxf6q4jeF4TjEuAN4VVHE6Qn5CGm0OuuZeTa/nxabjVq0O+PdecK8g1c04+3i0a4N+tOcHDOhM0qCNGN2ecvNxp//ZEDkx8u9J4mtw/hMb2Oks7cAqPsDpcuj/qERpAXqk6y4u/WKZe80rFX5q10Exhoa1nKv23M2SfTcS7SUjRA98Vufa+wTRz2Acc70B7hAaQW2ofyC21D1wq493Itg/cuKF4H7hh3Tx+vn4O+cm27dpoVPWHREHZ7ekaVoeCUnEVxKfhWuLY4YEpLYuC+DTSI/8o2rYpG/fj3Taci9sPFi1rLTCRvHYfgcO7kLat8ueiWtw3mOb2OkuxHzcu8aygzkqfoy6VcRwqeXz5ZgZ9PhWA8Jt7cWHLb2izhfzUTJL2HiOwfWOyzyVzOc3uH0KTUse0S0dvj7AqbM+wkrkWfvt11BvckYg7FhRN0xYr++f+p+jz4B/mkHUy4bJxAXS/Zwhd7OfPCwdO4euQ4z4hAWRW4/yZlZTOVxMWA+Di4Urr4V3Jtw+J3fr292x92/bA/21LJpJ6qvLYwHaOci2RZwEUJJTspbflWWCZPLsk+KbeRb0WAKa0LCy5+STbH+BO/jGS0DEDq/z/rBVqcY9BbVFbei76Av/VWudqrTOxXZBXZoPW+tIer4AFSqnfgI1APaBuJcv3Af4DoLU+ApwFLjUuNmmtM7TW+cBh4JrLrKcQWGv/+3dgq9Z92V1qAAAgAElEQVTaZP+7kX16JDBLKfUMcI3WuloDRQ9/vrHoIewza6NodmsfAII7NaEwK5e8Us8v5CWlU5idR3CnJgA0u7UPZ9cXX7jV69uGjJNxJbqljW4uOLm7Fs23mq2kV+EhzZgvNrJsxGyWjZjNiXVRtPqXLbbQjk0oyMot99mKivg1Kt5kjQd14OIZ2wHw61tf5KPeU/io9xSiP1nHnqU/1FjDAqB/nx78sHYTWmsOHPwDLy9PggID6N29M7/uiSYjM4uMzCx+3RNN7+6dCQoMwNPTgwMH/0BrzQ9rNzGgT49qf2/G/pN4NA7BvWEQytlIyE29SFpX8gI7aV0UYbdfB0DdG7uTusM2pta9YVDRQ7Vu9QPxbBpG3vlkCpMzyItLxdP+RrA6fduQU43nVI59tpE1Q2azZshsYtdGEW7PtcBOTSjMLD/XTFl5BNpzLfzWPpxfF0X6kVhWtpvI6u5TWN19CrnxaawZ9iz5yRms7vFU0fRzP+1hz8zPqtSwAMiKOYFb41BcGwajnJ0Iuqk3aetLDilJXb+Purf3ByDohp6k77RdNBVcSMHXfifW4OGKT+dm5B6Pw+DhitHTrWi6f7/25B4pfxhLeU59uoGIwbOIGDyL+LX7aHh7XwD8OzXFlJVXNMzpkvykdEzZefh3sr2RrOHtfYmzb/f49dFFyze8vS/x9umeDvuGX9tGGFycqtywAFuueTrkWuhNvUgsJ9fq23Mt5DK55tU0jNzzyRydv4LNHSeypesk9o9/k9Sdh6rUsAA4+dmGogetL/yyj2tus/2fAy5TZ+asPALsdXbNbX2JqyRnXOp4g8H2UK1nwyC8w0PIPptUaWxHP99Y9LD1uXVRNHHYB0xV2AeaOOwD37afyKoeU1jVw7YP/GTfBwCcvd2p26MF59dFVxpTaVn2Y4ebfXvWvakXKetKvlQiZd0+Qm/vB0DwjT24aN+eqZsP4NmyIQZ3F5TRgH+vVuQci8Xo4YqL/fkDZTQQOKQjuSeq9qD+kc83Fj2A7VhnQZc5bhRm5RHkUGfn7Pno+HxGwxFdSD8aC0DOhVRCe9ueA3JydyWoU1MyqhDf8c82sHbILNYOmcWFtftodKst1+p0aoops4L9MyuPOvZca3RrX2LtsYX2b0fLx25g2/2vY8krLFrG6O6C0X7+DLmuDdpsJfN45cfd3cs28PbIWbw9chaH1++jwy222Op3bEpBVl65z1ZUxMPfu+iNhdc9Nppo+3MQyqBw9/MCoG6LBoS0aMiJ7b9VuB5HWftP4N44FDf78Tb4pt7l5lmIPc+CbuzBxR3FjVSUInhUL5JW7yyxTOr6KPzs29K/b1tyjsVW+f8p/hlqRc/FZZgpbgC5lZrn2I88FggCOmutTfbhU6XLV4fj+BsLl68nky5+6s16aVmttfXS8yBa6y+VUruB64E1SqnxWusregLyfEQMDQa2544dr2POL2TrU8Vjr29ZN59Vw2YDsHPWZ/R7YxxObi6c33KA8xHFb1lqMqoHJ0vdLXMP9GHE8mfQViu5CRfZ8uS71Y7tdEQMjQe056Htr2PKK2Td08Wx3fPLfJaNsMV23aw7aTG6F87uLozb/Sa/r9hC5KJVdLx/KA37tMZqspCfkcPap96vdgzlmTZnIXv3/0Z6eiaDbrqbxx66B7PZ9naUO26+nut6dmV75F5G3P4g7m5uvDhrCgC+Pt6Mv/8u7nz4SQAmPDCm6MHwZ6dOLH4VbY+u9O3ZtfwvvwxtsXJ45qd0WTELZTQQ+9Vmso/G0nT6bWQcOEXyuihiv9xMu6UT6btrMab0bA6MfxMA/24tCJ80Cm22oK2awzM+Kbpb9MesT2n3zuMYXJzIPZvE70+Wff1uVVzYFEPYoPaM/vV1zHmFRDqM8x+5YT5rhti2556Zn9Fr8TiMbi7EbT5AXET13+hVZRYrJ2d9RJuvnkUZDSR+FUHu0ViumX4HWTEnSVu/j4QvN3Ht0ifoEvkW5vRsjoxfBEDcJ2tpvmQinbYuQilIWLGZ3D/O4tYwmJafTgdsXfbJq7ZzcXPMFYWXsDGGuoM6MHTXIix5BURNLs7hgRsXEDF4FgAxMz6h85IJGN1cSIw4QOIm2/cde+sHun3wBI3GDCA3NoXd45YAUO+GbjS8rS9WkxlLvok949+qVlzaYuXQzE/ptmKW7bXH9lxrZs+1pHVRnP9yM+2XTqSfPdf2O+RaE4dcO+SQazUhYVMMoYM6MCLyDSx5heydUlxnQzYsYMMQW51Fz/yUrovtr++NOECCPc/CRnSh47z7cK3jTZ9l00g/dJbtd71MUI8WtJ52K9pkQWsrUc98gqmaw48ubIqh3sD23LzTtg/86nC8vWH9fH4aatsHds/6jF6LbMfbC5sPFL3h6HIajuhC3LbfMedVf7intlg5OvMTOtq3Z/xXW8g5Gkvj6beReeAUKeuiiPtyM62WPk7PXUswpWdzcLwtl8wZOZx/7ye6rrXdeU/duJ/UjftxCfKl/RfTUa5OKIOBizsPceEKbuLE2uvslp22C/AdDnU2av18frDX2a5Zn9Fnke244VhnXZ69k4BW16C1Jjs2hUj7W76OfLaBPovGMTpiIUopjn+9jYt/VDSgoHxx9ly74Vdbru12yLXhGxaw1p5r+2Z+Snd7rsVvPlD0bEXn+fdhcHVmwNczAUiJOsG+GZ/gVseH/l89g7Zq8hIuEjmp+ufPY5tjaD6gA09tXURhXgGrphXHNnHNAt4eaYtt2Iy7aGc/f06LfIuor7cQsfg7wnu0ZMj0O0Frzuw5wo/PfwqA0dmJR759HoCC7Dy+nfIO1ioOedYWK8dnfky7FbNtr6L9ajO5R2NpNP0Osg6cJHXdPhK+jKDF0kl03/UWpvRsDtuPtwB+PVtSEJdCfqlG/ckX/0PLpZNwevF+TKmZHHnynWrXl6jd1JW8DaLGg1CqE/AZ0J3iYVHvAy2AKK31u0qpycBkrXUjpdT9QBet9eP25Z8EmmqtJ9mfnYgAwoEsIFprfY29XCPgJ611G6XUU0BrrfVD9uFQG7D1XNxVat0/Aa9prbdUEHu21trL/vdcIFtr/ZrjPKVUY+C01lorpV4DYrXWiyuqj9LDomqLzNrSz1WOJ6JfuNohVGhT61lXO4RypRhr772Fa6z5VzuECiXjcrVDKJdbLX73eo6hzEjQWiPPUP3fp/k71DObrnYIFTrv5Hy1Q6iQay24pqnIIZfaGdvgvNqba/0Tv611O2je1/+uNRvS/Y45ta5+oJYMi9JaRwNfAweAX4BL4xxeAx5VSu0HLvdC6+VAF6XU78C9wBH7elOBnUqpg0qpV0st8w5gsC/zNXC/1vqvemL4duCgUioGaAN88Rd9jxBCCCGEEFdNrbl1qbWeD8wvZ5bjC5mftZf9DFtPx6VlU4Byf+1Haz2m1KQ29un5QJlf0Cln3TdUEreXw99zy5untV6I7c1VQgghhBBC/M+qNY0LIYQQQgghajV5W1SlpHFRRfYHskv/Gtk9WuvK39MnhBBCCCHE/wPSuKgirXX3qx2DEEIIIYQQtZk0LoQQQgghhKgKGRZVqVrxtighhBBCCCHEP5/0XAghhBBCCFEVtfg3hWoL6bkQQgghhBBC1AhpXAghhBBCCCFqhAyLEkIIIYQQoirkge5KSc+FEEIIIYQQokZI40IIIYQQQghRI2RYlBBCCCGEEFWh9dWOoNaTngshhBBCCCFEjZDGhRBCCCGEEKJGyLAoIYQQQgghqkLeFlUp6bkQQgghhBBC1AjpuaiFHk3afLVDKNfR5m2udggV2tR61tUOoUKDDi242iGU62CnKVc7hAq9Z3C52iFUaHRe7bxrFeycf7VDqFDrz0de7RAqtOqebVc7hHJ1v990tUOoUPwy56sdQoV6hyVc7RAqNDTUfLVDKJdb57CrHYL4HyONCyGEEEIIIapChkVVSoZFCSGEEEIIIWqE9FwIIYQQQghRFVp6LiojPRdCCCGEEEKIGiGNCyGEEEIIIUSNkGFRQgghhBBCVIG26qsdQq0nPRdCCCGEEEKIGiGNCyGEEEIIIUSNkGFRQgghhBBCVIX8zkWlpOdCCCGEEEIIUSOkcSGEEEIIIYSoETIsSgghhBBCiKqQH9GrlPRcCCGEEEIIIWqE9FwIIYQQQghRFfI7F5WSngshhBBCCCFEjZDGhRBCCCGEEKJGyLAoIYQQQgghqkJ+56JS0nMhhBBCCCHE/yCl1HCl1FGl1Aml1IwKytyulDqslDqklPryz36n9FwIIYQQQgjxP0YpZQTeBoYAscBepdQPWuvDDmWaATOB3lrri0qp4D/7vdK4+Ada9MYLjBg+kNy8PB56aAr7Yw6WmO/l5cmWzf8t+ly/XijLv1zF1KfncO89t/Pywme5EJcAwDvvfMonn34FwD333MasGU8CsGDhEpYt+7bKMbn37kLgjAkoo5HM734h/eNvSsz3vfcWfP41HG2xYEnLIPm5NzDHJ+FybWOCnpuEwcsTbbVw8YMV5KzdCoDPXaPwu+dmnBuGcbrPbVjTM6tfWUDggPa0nHcfGA3ELo/g9Fs/lJivXJxot3QiPu3CMV3M5sC4JeSdT8a3YxNav/aIvZDixKsrSfplLwBOPh60eWM8Xi3qg4aDU94jfd/xasX17II32LZzDwH+fqz+z3tl5muteWnxe2yP3IubmyvzZ0+l1bVNAfh+zQbe/3wFAOPvu5PRI4cAcOjIcZ6d/wb5BQX07dmVmZMnoJSqVlyXePfrSP25j6CMBlJXbCDxne9KzPfs1or6cx7GvWUjzjz+Gulrfi0x3+DlTstNS8lYt5vY5z8AoMkXc3AO9gcnIzl7DnP+2fevqIv5jjkP0GZAJwrzCvjs6bc5f+h0ifnObi6Mf2cqQdfUxWqx8tumKP778nIA/MMCeeD1ibj7eGIwGPjvy8s5uGU/Bicj9748gYatG2NwMrBr1VbWvrO6WnEFDmhPq3n3oYwGzi+P4FSpXDPYc83Xnmv7HXKtrUOuHX91JYn2XKtsnVXl078jDf/9MBgNpHy1gYS3V5WY79W9FQ3mPoRHy0acmvgaF3+OBMC9VTjXvDQeo5cH2mol/s1vufjjzqLl6k0fi/8NvdAWK8nL1pL0yc/VimvnodO88u1mrFpzc682PDise4n5r67czN5j5wHILzSTlpXLjtcfB2DRqq1sP3QabdX0aHkN028bgFKKx5Z+R0pGDmarlU5N6jHzzkEYDVfWUd/5xXuoN7AD5rwCIqd8wMXfz5QpE9C2ET0Xj8fo5sKFiBiinlsGQLtpt1J/WCe01hSkZBI5+X3yEtNx9nan19JH8Qyrg3Iy8sd7azj19bZqxWVs3hHXUQ+CMmDauxHTlv+WX65ND9zvmU7um9OwXjgJRidcb5mAoV4T0JrCHz/GcuoQuLjh/uj8ouUMvnUw7d9G4Y+fVCsugC6l6iztMnXmZK+zffY6u6Tl+BF0njOWb9tMoCAtm7o9W9Lv0ylkn08G4Pyavfy+qHr7p1vPrvg/PREMBnJWryHTfgy9xHvsrXiNHom2WLBeTCf1hVexJCQB0GD3ekwnbMcZc2ISKU89B4AxLITABc9i8PWh8I9jpD6/EMzmasUF4NypG56PTAKDgfwNP5O/suTNY9fho3C7/mawWtD5eeQsfQ3L+bMYgkPwe+cLLBfO2WI7epicd96wxdakOV6TZ6JcXCiM2k3uB29WOy5j0/a4DL8XDAbM0Zsx7Sh5/HHqcB0uQ8ZizUqzff+e9ZijN6N8A3G98ylQCmVwwrRnHeZ9G8HZBdfbJmMICAarxnwsCtPGFeV9de31zxoW1Q04obU+BaCUWgGMBg47lHkEeFtrfRFAa530Z79UGhf/MCOGD6RZ03BatOpD926deHvpS/Tqc2OJMtnZOXTpOrTo8+5dv7B69Zqiz998+wNPTn62xDL+/n48N3sK3XuORGvNnl2/8OOP60lPz6g8KIOBoGcnEvfITMwJKdT/+i1yNu/CdOpcUZGCP04Se8ckdH4BPnfcQJ2pD5P49AJ0fgFJs17FdC4OY1AA9b9ZSt7OfVizcsjff4i4rbsJ+/SVK6wtwKBotfBB9t4+n/y4VHquW0DSuihyjl0oKlJ/zABM6dls7zGZkJt60vy5MRwYt4SsI+eJHDoLbbHiGuxHr80vk7w+Cm2x0nLefaRsjiHm4UUoZyNGd9dqh3bTyCGM+dcoZr34Wrnzt0fu5VxsHGu+/pjfDh3hxdeW8tWHi8nIzOLdT7/k649tJ4o7HnqC/n164OvjzYuvLWXuM0/QrnULHn36eXbs2kffnl2voN4MNJg3nhNj52CKT+XaH18jY8Me8o+fLypiikvh7NQl1B1/c7mrCH16LNm7D5WYdvqxV7Bm5wEQ/t4z+F3fm/Qft1crtDb9OxIcHspz/ScR3rEZY+c/wsKbZpUpt/7DHzgWeQijsxNTlj9P6/4dOLQlhusf/xf7fo5k23/WE9q0Po9/NpPZfSbSeWRPnFyceWH4VJzdXJi7cRF7f9hJamxy1QIzKFovfJA99lzrbc+17FK5Zk7PZmuPyYTe1JNrnxtDjD3XdjrkWp/NL5O0PgqtdaXrrFpsBhrOG8+xMbbt2fLnV0lfv4f847FFRQovpHDmqTepO/6mEota8wo4PXkJBafjca7rT8s1r5O5NQZLZg51bh+Ic1ggB/s9DlrjVMe3WmFZrFZe+noT7z1xK3X9vBn78nL6tWtKk9A6RWWm3Tqg6O+vNkdzJNZ23os5eYGYU3F8O/teAB54fQX7jsfStXkDXnnoBrzcXdFa8/SHP7Ih+hjDu7SoXp0BYQPb4xMewg+9p1KnUxO6vXQ/626YW6Zc14UPsGvaR6RGn2TAf6YRNqAdcZt/4/C7P/PbqysBuPahobSdcjN7ZnxK8/uHkHHsAlvvewPXAG9u3P4qZ1btxGqyVC0wZcD1pkfI++jf6IxU3B9/BfPhveik2JLlXNxw6X09lnPHiiY5dxsMQN7iKShPX9wefJa8pdOhMJ+8JVOLyrlPehXzwV3VqzBsdeYdHsL3vacSaK+zteXUWbeFD7B72keklKozAI+wAEL7tSU7NqXEMkm7j7LlvterHRMABgP+zzxB0sTpWBKTCfniHXK3RWI+fbaoSOGREySsfBRdUIDXv27E74lxpM6aB4AuKCRh7Pgyq/Wb9AhZX35H7vrN+M+cjNfoEWR/92O1Y/OcMJnM56ZiTU3G9433Me3eieW8Q2xbN1Kw1nZh79ytFx4PTSRr7nQALAkXyHjy4TKr9XrsKXKWvor56GG8576Cc+fumKJ2Vz0upXAZ+QD5yxagM1Nxe2Q+5qNR6OSSxx/zoUgK13xWYprOvkj+R8+DxQwurrg/9iqWo1Ho/BxMv/6E9cxhMBpxu/dZrE3bYzlxoOpxiSJKqXHAOIdJH2itP3D4XA847/A5Fih5Bwea29e1EzACc7XWa/9MXPLMRQ1QSv1tjbQbbxzGsuW2k9XuPdH4+vkSElJxD1azZo0JDgpk+47LH1CGDu3Hxk3buXgxnfT0DDZu2s6wYf2rFJNr22sxnYvDHJsAZjPZv2zBc2DPEmXy9x5A5xfY/j7wB8a6gQCYzl7AdC4OAEtyGpa0DIz+tguUwiMnMcclVimGivh1akru6QTyziahTRYSVv9K3eFdSpSpO7wLcd/Y7hom/ribOn1aA2DNK0RbbHcoDG7OoG3vtnbydse/Z0til28GQJssmDNzqx1blw5t8fXxrnD+5h27GDV8EEop2rdpSVZWNskpaezcHUXPrh3x9fHG18ebnl07snN3FMkpaeTk5NK+TUuUUowaPoiI7ZHVjgvAo0MzCs4kUHguEW0yc/HH7fgO7VaiTGFsEvlHzqLLuYvj3rYJzoF+ZG2LKTH9UsMCJyPKxQmo/vvC2w/tyq5Vtt6t0/uP4+7tiU+QX4kypvxCjkXaGjYWk5lzh07jH2K7YNVo3L3cbXH6eJCReNG+lMbV3RWD0YCLmwuWQjN5WXlVjqt0rsVXkGux9lxL+HE3gZXkWlXWWRWeHZpRcCa+aHumfb8Dv6Elzy+FsUnk/XG2zDvcC07HUXA6HgBT4kXMqRk41fEBIPje4cQv/rooXnNqFW5GODh4JoEGQX7UD/TD2cnIsM7XsuXAiQrL/7LvSFEjQSlFocmMyWyh0GzBbLFSx9sDAC97Y99stWIyW7iyvjuoP6wzp1buACA1+iQuvp64BZfMNbdgP5y93UmNPgnAqZU7qG/fRubs4vxxsjd2ANAaZ09bDjp5ulGYnoPVXPW7oYYGTbGmxqPTEsFixnxgB06tupUp5zJsDIVbV4OpsGiaCm6A5cTvtjByMtD5ObZeDAcqMBTl5Yv19GGqq8Gwzpy211mKvc7cS9WZu73OUux1dnrlDho45HXnuXcTPW9FUV7VBJfWLTCfv4DlQjyYzeSu34xHv14lyhRExaALbOepgoN/4FQ3qNL1unXtSO4m2/Eo56f1uPfvXe3YnJq1xBJ/AWuiLbaCbRE4d+9ToozOKz7HKDf3Step/ANQHh6Yj9q2YUHEOlx69KlkqZIM9ZpiTUtAX0wCiwXLwUicrq3i8cdisTUsAIzOcKkH3VRoa1jYy1jjT6N86pS/DlEprfUHWusuDv8+qHypMpyAZkB/4C7gQ6WU32WXqMIK/99RSt0NPAG4ALuBx4AMYAlwA5AHjNZaJyqlgoD3gIb2xSdrrXcqpeYCTYDGwDml1BPAl0AYEIltfFtn+/ekaa0X2797PpCktV5yJbHXCwsh9nxc0ecLsfHUCwshIaH8Xqw7bh/Ft9+W7Ma85eaR9O3bnePHTzP16bnExsbZ1hvrsN4LtvVWhVNwHcwJxXd3zYkpuLWt+C6hzy3Dyd2+t8x01zbXopydMJ2Pr9L3VoVrSAB5calFn/Pj0vDt1LRkmdAA8i7YymiLFXNWHs4B3pjSsvDt1JQ2i8bj3iCI3ya+jbZYcW8YTGFqJm2XPIp364Zk/HaaI89+jiW3oMbiBkhMTiUkOLDoc93gQBKTU0hMTiEkuPikVzeoeHpdx/JBgSQmp3IlXELqUBhXfNewMD4Vzw7Nq7awUtR79gHOPrkI7z7ty8xusmwuHh2akbk5ivSffy1nBZfnVzeANIdtmp6Qin9IAJnJ6eWWd/fxoN2gzkTYh+v8uOgbJi97jgH3jcDFw5XFY18EIGrNLtoP6corez7Exd2Fb1/8nNyM7CrH5RYSQL5DXHlxafiVyjW30ADyHXLNVCrX2tlz7YA916qyzqpwCQ2gMN5heyak4tWxWbXX49mhGcrZiYIztmGVrteEEHBjH/yG98CclsG55z8qaohURVJ6NiH+xQ3suv7e/H6m/OXjUjOJS82k27W2Q3H7xmF0bd6AwTPfB625o19HGjv0eDz61koOnkmgd+twBneqYu6W4hHiT65D/efGpeER4k9+UnrJMvFpZcpc0v6Z2wi/rQ+mzFw23roAgKOfbqDfZ09xy/6lOHm5sWPC0mpdSCvfOuj04rh0RiqGhiW3pyGsMQbfOhQeiYLrRhdNt8afwalVV8wHtqN8AzHWa4LyC4TY4kadU/s+mH/byZVwD/Enx6HOcuLScA/xJ8+hztxL1dmlMgD1h3UiL+Ei6YeLe74vCerclOs3zCc3MZ3oF74koxo9eMbgQCyJDueppGRc27SssLzX6BHk/bqn6LNycaHuF++AxULmZyvI27oTg68P1qxssN8YsCQlY3Q4BleVoU4g1pTic7g1NRnn5mVjcx15E+433Q5OzmTOnlz8f6sbiu/ij9B5OeQu+xjz4d8w1AnCklL8/7WmJGOoU73YlI8/OtMhzzJTMdQve/wxtuyG+zUtsabGU7j2C3Rmmn35ANzGPoMKqEvh+uXorIslF3TzwHhtJ0y7/9RN8r9fDTZ6/wYXgAYOn+vbpzmKBXZrrU3AaaXUMWyNjbIXalX0/67nQinVErgD24MrHQALMBbwBHZprdsD27CNQQNbg2OR1ror8C/gI4fVtQIGa63vAuYAEVrr1sBKihsjnwD32r/bANwJ/KecuMYppfYppfZZrTk19v+9/fbRrPi6eFzqTz9voEmzHnTqPISNG7fx6ceLa+y7qsLrhoG4tm5G+qcrS0w3BgYQ/NI0kp59vVbtuBnRJ9jZbxqRw2bR+MnRGFydUU5GfNqGc+7zDfw6eCaW3ALCJ42ufGX/TwTeO4LMzVGYEspv2Jy8Zy4Hu9yPwcUZ795t/9JYDEYDD785mc2frSHlvO3k3W1UH35duZkZPSew9IGXeGDRJJRShLdvitViZXr3cczuO5HBD99IYIM//VxblWVEn2B7v2nsHDaLJvZcq02cg/0JXzKZM1PfKtpHlYsz1gITf1z/NMlfbqDRa5P+su9fF3WEwR2bFT07cS7pIqcS0lg/fxzrF4xn77FzRJ8oHhb07qRb2bhwAiazhT1Hy16o/l0OvPwtq7s8yZlVv9L8QduzUaH923Lx0FlWdXycNUNm83/s3Xd0FNXbwPHv3U3b9EoKNfQeOtJ7V+wFVARFQSlSpRcLih0VFVSk2EBRERWkVwk1gID0HtJ7L7s77x+7pMdkMRp+r8/nHA7JzJ3ZJ3dm7sydW7btgmHYuZb9NrrclMLxzuFk/7qi2Crj4W2Yk+MxjHsTx7uexHT1TLE+5PYhnTEes627YkXQGxxoOm4wx99cW2xdwokr/NhuAr/2mcXZzzfT7fOJ/1gczgN649CoPimr8scORtw1lOhhzxE3+1W8Jj+HXdXAf+zzS5O9YR1JzwwlY+VSDA9bugOaE+JJfPIhkieMJP2zD3GdMgdlcP7XYjKeDSNz0XgyP56G6eIJHO99Lm+dlpJA5sfTyHx/InYtuoJLgW6TOh2O948j98AmS8uI+KccAuoppYKVUg5YnkGLDtxbh6XVAqWUL5ZuUpf+zof+5yoXQDB4eJcAACAASURBVC8sLQqHlFLHrL/XBnKAX6xpjgC1rD/3BhZb064H3JVSrtZ16zVNu9nu3RlYDWDtq3ZzYMwVIF4p1RLoCxzVNK3YU1fBpi2dzqXQumdHP8HhQ5s5fGgzkVHRVKselLeuarXAvMHZRTVv3hg7OzvCjp7IW5aQkEhOjqWJfNnnX9OqleXh7kZEFNWqFdhv1dL3W5QxJh67gPw36Xb+vhhj4oqlM9zREq9nhhA1bh7k5uYtVy7OBH70EgnvryD7jzPl+szyyo5KwBCU/zbTKcib7KiEwmkiEzBUtaRReh12bgZyE1ILpUk/H4EpPQvXhtXJiognOyKB5DDLm77onw/g3qxWhcYN4O/nQ1SBfIyOicPfzxd/P1+iYvLfSEXH5i+PLpg+Ng5/v1trbs6JischKP8tl0OgD7nR5WsFcWnVEL8nBtH490+oOnsE3vf3IGj6sEJptOxckrccxKNP0a6fJev+eD9mb3iT2RveJDkmEe8Cx9QzwIfEIsf0psdeG0XM5Ui2fZ4/5qjTwz05Yh2sfCnsHPaO9rh6u9Hu7s6c2nUMs9FEanwKF4+coWbzOiXutyRZUQk4FYjLUMK5lhWZgFOBc82+lHPNmJ6FW8Pq5dpneeREJuAQWOB4BviQE1n+/ehcDdRdOZsbb3xJelh+//2cyHgSN1ryMmnjfgyNatoUVxVPV6IS8//+6MRUqni4lpj2twJdogC2H79A8+BAnJ0ccHZyoFOTYI5fiii0jaO9Hd2b12HnHxfLHVP94b0ZsGUBA7YsIDMmCecC+e8c5E1GVOG3rxlRiTgHev9lGoDLP+6jxkDL+Kc6D3fj+obDAKRdiSbtWiwedcv/sKolx6M88+NSHj5oyQWOp6MBXUANDM+8jPO0Jehq1Mdp+AxL9yezmZxflpP53mSyVi1EGVwwx+Xnmy6wFuj0mG+U/9mi/vDeDNyygIHWPHMpkGcuQd5kFsmPzCJ5djONW80quNbwY9DWV7nnwLs4B3ozcNMrOPl5kJuWidHaOhyx/Tg6ez2O3iWfKyUxxcShL9DNya6KH6YS7lOO7Vrh8eRQYifNKXSfMsVa0ppuRJJ15Dj2DethTk5B5+YKesujlL6UfZbFHB+Hzjf/RYbOxw9TfOn7ydm9Lb+LkzEXLdUy2Ynp4jnMUTfQVa2OOT4WvW/+36vz9cP8F/ssiZaSWKjLknL3QUspcm5npuV1fzKGbUcXGFx8P6mJmGPC0ddskLfM4a6n0RKiMO7faFNMtwWz+fb5VwZN04zAWGATcBr4VtO0U0qpl5RSg63JNmF5Tv0T2AFMLek51Rb/xcqFAlZqmtbC+q+BpmnzgVwtr0MsJvK7jOmAOwqkr6pp2s2+EuVtYvgMGA6MwNKSYZOPl6ykTdu+tGnbl/XrN/H4ow8A0L5dK1KSU0rtEvXIw3ezZk3h2TQKjs+4666+nDljeUDevHkXfXp3xdPTA09PD/r07srmzbvKFV/2ybPY16iKXVV/sLPDdUB30ncUHgjo0LAOfvPGEzV2HqaEAv2y7ewIeG8uqeu3kb5lb7k+zxbJRy/iXDsAQw0/lL2egHs6ErPpSKE0MZuOEPRQVwD872pP/F5LX31DDT+U9abhVM0Xl7pBZF6PJSc2mcyIeFzqWB4GfLo0LTRAvKJ073wH63/bhqZpHD95GldXF/x8venUvjX7DoaRnJJKckoq+w6G0al9a/x8vXFxceb4ydNomsb637bRo/Mdt/TZGcfP4xgciEP1Kih7O7zu6kLyloNlbwhcff4dTnUYyZ+dnuHGK8tJ+H4HEQtXoXN2wq6KtbuIXod7zzZkXQz/651Z7fxiE68MnMorA6dybPMh7rivGwDBLeuRmZpRYpeouyc/gsHNmW9fWlFoeUJEHA2tLSYBdapi72hPanyKZXnHpgA4GBwJblmfqIvlP67JRy/iUuBcC7ynI9ElnGvVrOdawF+ca651g8i4HluufZZH+vHzOBU4nt53dyapnMdT2dtR97MZxK/dmTeD1E1Jmw7g1tGSl24dmpJd5OG+LE1qBnAtJokbccnkGk1sOnKWbiVU6C5HxZOSkU1I7fwXIIFebhw5H47RZCbXZOLI+XBqB/iQkZVDrLU7m9FkZs/JSwT7exfbZ2nOrdjKxj6z2NhnFtd/O0LtBywPcT6t6pCTklGoSxRAVkwSuamZ+LSyxF37gc6EW4+RW7B/Xrpq/VqRcsHS5Sv9RhwBXSzjbZx83XGvE0jatfK/vTWHX0DnE4jyqgJ6O+xCOmM6XaAHQ1YG6S8NJ+P10WS8PhrztXNkrXjNMluUvQPYW8ak6OuFgMlUaCC4XUhnjMdta7U4t2IrG/rMYkOfWYT/doRga575WvMss0ieZVrzzNeaZ8EPdOb6piMknQlnbfMxrGs/kXXtJ5IRmcCGfrPJik3GyS//rbdPi9oonSI7ofzdFnP+PIN99arogwLAzg7nvj3I3F24W6Z9g7p4z5xI7KQ5mBPzY1ZurmBvaUnUebjjGNKE3EuWwdbZh4/h3MtSHrnc2ZfMXbZ39TSeP4M+qBo6f0tsjl17knuwcLc0XWDV/DjbdMAcYTlmyt0DrK15Ov9A9EHVMEdFoCUmoGVkYNegMQCOPfuRs9+2e6w54iI6nwCUpx/o9eibdsB4tnD5o1zzu+brG7TGHHfDGpc32FlbX51c0NdogDnOcv7b93wI5Wgg57dVNsUjbo2maRs0TauvaVodTdMWWJfN1TRtvfVnTdO0SZqmNdY0rZmmaX97+q7/4piLbcBPSql3NU2LUUp5A6WPqoXNwDjgTQClVAtN046VkO534CHgdaVUX8CrwLofgZcAe2Do3wl+w8Zt9O/fk7OnfycjM5ORIyflrTt8aHOhWaIeuP8u7rr78ULbjxv7JHfe2Rej0URiQhJPjrT020xMTGLBq4vYv8/SL/2VBe+SmFhyH/ZiTGbiXv2QwKWvovQ6Un7cTO7Fq3iNGUb2qXNk7NyPz+SnUc4G/N+xzFJljIwhatx8XPt3xdC6GXpPd9zusXQZiJn1FjlnL+Hx6N14jngQva831X9YQsaeg8TOs60bl2Yy8+eM5bRZPROl1xH+zQ7SzoZT94UHST5+idhNRwj/egfNF4+hy/5F5CalcXyUZRYmr3YNCR43GM1oQjNr/Dn987y3zKdnLqf5R2PROdiRcTWGE88Xn0q2LFPnLeTQ0T9ISkqh1z2P8dxTj2O0TmH48L2D6NqhLXtCDzHgoScxODnx8kxLNwAPdzdGDR/CIyMt0waPHjE0b2D47Mlj8qeivaPtrc0UBWAyEz7nE+p8Md8yFe2abWSdu07ApKFknLhAypaDODevS/CnM9B7uOLRuy0Bk4Zwpnfp3WJ0zo7UXjYLnYM96BRp+04Q96XtfW1P7gijWY+WvLLrA3Iyc1g59cO8dbM3vMkrA6fiGeDNwHH3E3khnFm/WmYb27FyI7+v2c7aV1bx2MJR9HpqEGiwYopl+52rNvHEm88xb/M7oBSh3+3gxpnyd6fRTGZOzVhOu9UzLdMeW8+1etZzLWbTEa5/vYOQxWPoZj3XjhY41+oUONdOFTjXStqnzUxmrs35lPpfzQOdnvg1W8k6d52gKUNIP36B5C2HcA6pS93PpqP3cMWzTxuCJg3hVK/xeN3VCdf2jbHzcsP3oZ4AXJ74Ppl/Xibqwx8I/mAi/k8PxpyeyZUCx6I87PQ6pj/ck2cXf4/ZbObuDk2pG+TLRz//TuOa/nRvbunf/dvhs/Rv06DQtMq9W9Xn4LnrPPjKSpSCjo2D6da8DvEp6Tz/8TpyjSbMmkbb+tV5oEvxsT/lEbHtGFV7hTB439uYMnMInZg/VnLAlgVs7DMLgEMzVtBh0TPonRyI2HGciO2WmW9azHwY9zqBaGaN9BtxHJy2HICTi9bRYdEoBm17DRQcXbDGpgdlzGayf/oMw1NzQacj99A2zNHXcejzCKbwi4UrGkUoVw/LdpqGOTmerDWFpye1a96RzOULStm6bDe2HSOoVwh373sbY5E8G7hlARuseXZwxgo6lpBnpalxZzvqD+uFZjRhzMplz7O2nWuYzCS8+QFVPngd9DrS128k99JVPEYNJ+f0WTJ3h+I1/hl0BgO+C+cC+VPO2gfXwHvmRMtkBzpFysrVebNMJX7wKb6vzsbj2RHknr1A4k+38CbebCJ9ySLcX3wLdDqyt27AdO0KhkefxHj+DLkH9+F0533Yt2gNRiNaWhppi14DwL5pCIZHn7RMf6tppH34DlqapexI+/hdXCdMRzk4knvkgG0zRYGllWvDCpwenwFKh/HoTrTYcOx7PIA54jKms0ewa98fuwat0cwmyEwje53lXqh8q+LU7zE0TUMpRe6+X9BirqPcvXHoei/m2Bs4jbKMQbo5fa34/0Npt1H/9n+LUuphLF8YogNygTHAVk3TXK3rHwDu1DRtuLX/2YdAIyyVsd2apo22DuhO0zTtLes2VYBvAH8sA7rvBGppmpZtXb8ESNI0rcRvRyzIzqHqbXlQztZvWtkhlOp8rFfZiSpJr1OvVnYIJTrZ6p/rs/x3LdE5VHYIpbo7U1/ZIZSoin1WZYdQqiYrB1Z2CKX64XHbvl/i33L347bPQPdvWffFv9en31ZdgypuQpCK5hJo+/df/BucWgeVnaiSuMz/5lYne/vHZLw18rZ5RnOe8tltlz/w32y5QNO0NcCaIotdC6xfi2VQNpqmxWEZAF50H/OLLEoG+mmaZlRKdQDaFqhY6IA7gAcr6m8QQgghhBDidvOfrFz8Q2oA31orEjlYZ5tSSjXGMlD8R03TbPsKZyGEEEIIIf6HSOWiglgrDi1LWP4nltmohBBCCCHE/zKt/F94+V/1X5wtSgghhBBCCPEPkMqFEEIIIYQQokJItyghhBBCCCHKw3zbTBZ125KWCyGEEEIIIUSFkJYLIYQQQgghykEzy4DuskjLhRBCCCGEEKJCSOVCCCGEEEIIUSGkW5QQQgghhBDlIQO6yyQtF0IIIYQQQogKIZULIYQQQgghRIWQblFCCCGEEEKUhyazRZVFWi6EEEIIIYQQFUIqF0IIIYQQQogKId2ihBBCCCGEKA+ZLapM0nIhhBBCCCGEqBDScnEbGhPUpbJDKJGdQ1xlh1CqOP3teyqfbDWxskMoUdOwdys7hFLVazW3skMoVY66PQfzxeU6VXYIpTr/1M+VHUKp0nQelR1CiaJ/Ta/sEEp1V7+Uyg6hVDs3+ld2CKXKuqEqO4QS3XEjurJDKJXL/MqOoATm2/MecDuRlgshhBBCCCFEhZDKhRBCCCGEEKJC3L59SYQQQgghhLidyIDuMknLhRBCCCGEEKJCSOVCCCGEEEIIUSGkW5QQQgghhBDloclsUWWRlgshhBBCCCFEhZDKhRBCCCGEEKJCSLcoIYQQQgghykNmiyqTtFwIIYQQQgghKoS0XAghhBBCCFEOmlkGdJdFWi6EEEIIIYQQFUIqF0IIIYQQQogKId2ihBBCCCGEKA8Z0F0mabkQQgghhBBCVAipXAghhBBCCCEqhHSLEkIIIYQQojykW1SZpOVCCCGEEEIIUSGkciGEEEIIIYSoENIt6n/QffOeoHGPluRmZvPVlI8JP3Wl0Hp7JwdGfDQB35r+mE1mTm0L4+fXvwGg3QPduHvGoyRFJwCwZ+Um9q/Zkbeto6uBmVve4o/Nh/l+3vJyx+TUsS3eU54DvY60HzeSsmJ1ofVuj96P670DwWTClJhE/ItvYYqMyVuvXJwJWruMjJ2/k/j6YpSTI76vz8W+WiCa2Uzm7v0kffCZrVmVp83Lj1O1ZwuMmdmETvyEhBNXiqXxblaLDotGYefkwI3txzg854tC6xuNGkDreY/yXdPRZCek5S33CalNv5/nsffZxVz79ZBNcbl1a0m1+U+j9DriV28h+qPvC613adeYavNGYmhUiytj3yJpw75C63WuBhptW0zypgOEz/0EgDqr5mFfxQvs9KQf/JPrs5eCjV/6M/vVd9j9+0G8vTxZ9+WSYus1TeO1RUvYE3oIJydHFsyaTOMGdQH4acMWlq60HP9RTzzC3QP7AHDqzHlmL3iHrOxsunRoy4wJo1FK2RTXTT1ffJzgHpbjuXHyJ8ScvFIsTeepD9L4/s44ebjwfqORectDHutJi2F90ExmcjKy2DJ9GfHnI9DZ6en3xkiqNK2FTq/j1A97OfjhzzbFVaVHc5q9PAyl13H1qx2cX1x4e52DHa0+eBbP5sHkJKZxeNT7ZFyPA6DeuMHUHNodzWTmxOxVxOz8A4DaI/tT67EeoBRXv9zOxU9/szG3LHx7hNDolSdAryP8q+1c/mB9ofXKwY7mi8fg3jyY3MQ0jj/zHpnXY/FoWYcmbz1tTaS48OZaYjZazvOaTw+g2mM9AQj/ajtXP9loc1yu3VpRde7ToNeRsGYLsR+vLbTepV0TguY+jVPDWlwb9wbJG/OvgWYX15F19ioAuTdiufL0KwBUe30chub1AMi+HEH4lEWYM7Jsjg2g40uPU8Naduyc+AlxJZxrvs1q0f1dS9lxbfsx9s21lB0+jWvQZeGT6B3t0Ywm9sxaQeyxS9Ts24q2Ux9AM2toRhP75n9J1KFzNsVl6NQG3+mjUXo9Kd9vJGnZt4XWewy7D/f7+6OZTJgSkomd8w5Ga5kbuGQBjs0bknX0FFFj5hbbt8+MZ3G/tx+X291jU0wAdk3b4jT0OdDpyN29kewNq0tO17oLLmPnkfbic5iunEO5uOM8Zi764Abk/L6JrC8X56V1nvQaOg9v0OsxnjtB1hcfgGb7F5ndvD7R67j2F9enh/UaODTqfTKvx2Hv5Urbz57Hq0Udrq3ZzYmZK/K2aTT9Iao/2AV7Txd+rfOkzTEV1PLlYQT2CsGUmcPBCUtJLOE+5dW8Fu0WjUbvZE/ktuMcnbMKgJA5Qwjq2wpzjpG0q9EcnPAJuSkZ+HdtSvNZj6Czt8Oca+T4S18T8/uf5Y6pou/tAP6fvI3e1xstOxuA6OemY05MsjW7Ks8tnHv/NdJyYSOl1BWllK/1531lpH1JKdXb+vMEpZTz3/38xt1b4BccyCvdJ7B65qc8uGBkiem2f/oLr/aazJuDphPcugGNurfIWxf2SyhvDpzOmwOnF6pYAAya/BAXD56xLSidDu9p44gZN5OI+5/CpX8P7INrFEqSc/YCUY89R+TDz5CxdQ9ezz9TaL3ns8PJDjtRaFnKF98Scf+TRA4ZjWOLJjh1bGtbXFZBPUNwCw7gp06TOfDCMtq9NrzEdO0WjuDA1M/4qdNk3IIDCOrRPG+dc5A3gd2akRYeV2gbpVO0nPUwkbtOFN1d2XQ6qr8yiotPvMjpXmPxGtwFp3rVCyXJjYjj6uT3SPxpd4m7CJzyKGkHThVadvm5NzjTfwJneo/Dztsdz0GdbA7tnoF9WPLOK6Wu3xN6iGvhEWxYs4z5L4zn5bcsN43klFQ+Xv4133y6iG8+XcTHy78mOSUVgJffWsz8aePZsGYZ18Ij2Lv/sM1xAQT3CMGrVgDLuk5m8/Rl9FkwvMR0F7eG8dXgecWWn14Xysq+M1g1YBaHlvxK9zmPAVB/UDv0Dnas7DuDLwbNIWRoT9yr+ZY/MJ0i5LURhA59g21dp1Lt3o641a9aKEnNod3JTUpna4dJXFy6kcazhwDgVr8q1e7pwPZuLxA69HVCFo4AncKtYTVqPdaDXQPmsKPndPz7tMKlln/5YyoQW+OFT3J46EL2dplM4L2dcCkSW7WhPchNSmPPHRO4svRX6s8ZCkDqmeuE9p3Jvl7TOfLIazR5ayRKr8O1YTWqPdaT0P6z2NdzGn59WuFsa2w6HVVfGs3l4fM512cMnoO74li38DWQExHL9SmLSPppV7HNzVk5nB/4POcHPp9XsQCIePkzzg8Yz/kB48mNiMXniTtti8uqes8QPIIDWN15MrunLaNzKWVHl9dGsPuFz1jdeTIewQFUt5Yd7WcN4ci7P/B9v1kcevt77phlOd439p5ibZ+ZfN9vFjunfErXN0sux0ul0+E3ewyRz87m2uCncR3YA/vahcvc7NMXCX94HOH3PUv6lr34TM7/jKTl3xEz440Sd+3YpB56d1fb4rlJ6XB6fBzp784kbdZT2LfvgS6oRvF0TgYc+9yL8eLpvEVabg5ZP64ga83SYskzPnqZtHmjSJs9Ep2bJ/Ztu9oem07R3Hp9bu86laolXJ81hnYnJymdbdbrs4n1+jRn53Lm9bWcevGrYruN2hzGrgFzbI+niMCeIbjVDmBDx8kcnrqM1gtHlJiu9cInOTzlMzZ0nIxb7QACeoZY4th9kt+6T2NTrxmkXoyi0bjBAGQnpLJn2Fts6jmdg+OX0P6DZ8sf1D90bweIm/UakUNGEzlk9P9WxUKUi1Qu/gZN0zqWsX6upmlbrb9OAP525aJp3zYc+sHyoHn16AUMbs64+3kWSpOblcOFUMubCVOuifBTl/EM8C5z39WaBuPm68GZPX/YFJND0wYYwyMw3ogEo5H0TTsxdC/8QJt9+DhaluUtRfaJ0+ir5D+0OTSqh97Hi8wCD5taVjbZh49bfjEayTl9Hjt/P5viuql6v9ZcXrsXgLiwizh4uGCoUjjPDFU8sXczEBd2EYDLa/dSvX+bvPWt5z9G2CurQSs8kKvBk325tuEQWXEpNsfl3KIe2VeiyLkWjZZrJPHnPXj0bVcoTU54DFlnrqKV0PJgaFYHe19PUncfK7TcnJZp+cFOj3KwA2wffNamRTM83N1KXb9j734G9++FUoqQpo1ITU0jNi6B3w8coUPblni4u+Hh7kaHti35/cARYuMSSE/PIKRpI5RSDO7fi+17Qm2OC6Bu39ac+t5yPCOPXsTR3QWXIsfz5rr0mOI3rZyb+QPYGxzzj6kG9s6OKL0OOycHTLlGclIzi21fGq+WdUm7HE3GtRi0XBPh60IJ6Ne6UJqAfm249u0eACJ+OYBf56bW5a0JXxeKOcdIxrVY0i5H49WyLm71qpIYdgFTZg6ayUx86GkCB9leyfZsVZeMy1FkXrXEFrVuH/4Fzm8A//5tiPjWUrZE/3wAn85NADBbPxtA52Sfl18u9aqSHHYhb33ivtP4Dyp8/pbFuUU9cq5GknPdcg0k/bwb977tC6XJDY8h68wVNK3857G5wDHWOTkUu27Lq1bf1pyzlh0xYZZzzbnIueZcxRN7VwMx1rLj3Nq91OpnzVtNw8HVAICDmzPp0YkAGDOy87YvdA6Wk2OzBuRei8AYHgVGI2kbd+LSs0OhNFmH8svcrOOn0fvnl7mZB45hzijh3Nbp8Jn8NPFvL7Mpnpv0tRtgjolAi40Ek5Hcgzuxb1n85YbTvcPJ3rAGcnPyF+ZkYTp/Eq3gsrw/JsP6AXqwu7UOF14t65Je4Pq8UcL1GdivDdcLXJ++1uvTlJFNwsGzmLJzi+03MewC2SWUM7aq2r81V76zfHZ82AXs3Z1xKnKuOVnvU/FhFwC48t0eqvW3/A3Ru07kXafxYRdwDrLc85NOXiUr2hJf8tlw9E4O6BzKl4f/xL1d/Df8pyoXSqnHlFIHlVLHlFJLlVLtlVJ/KKWclFIuSqlTSqmmSqnuSqndSqlflVJnlVJLlFLF8koplVbg52lKqRNKqeNKqYXWZSuUUg8opcYDQcAOpdSOovuxhae/N0kR8Xm/J0cl4PEXFQeDuzNNerXi3O8n85aFDGjHtI2vM+KjiXgG+tyMn3tmP866BV/aHJOdny/GqPxmUFNMLPoqPqWmd72nP1m/W7sPKYXXxNEkvlv8bdVNytUFQ9cOZB08anNsAIYAL9IL5Fl6RAKGAK9iaTIiE0pMU61fKzKjEkn681qxbaoPaMO5ldtuKS6HAB9yIvJbQnIi47H3Lz3fClGKqrNHcOOVkruu1fliPs2OrsKUlknSr3/ZwHZLomPjCShwE/Gv4kt0bBzRsXEEVMmvBPr75S/3L5jez5fo2HhuhWuAF6mR+dumRiXgWuR4lqXFsN6M3PM2XWc+wrZ5lm4F5zYcJDcjm2cPL2bU/kUc/mQDWcnp5d6nIdCLzALnWVZkAoZA71LTaCYzxtQMHLzdMAR6F9k2HkOgFylnruPTviH2Xq7oDQ7492qBc1A5z5ECHAOK7D8iAcci5YZjoDeZNwrGlom9t6WC6dGqLp12vUmnnW9yauoyNJOZtDPX8bLGpjM44Ne7BU5VbYvN3t+H3ALXQK4t1wCgc3Sg7vp3qPPjm7j3vaPQumpvPk+jQ6twrFONuBW/2BTXTS5Fy47IBJyLnGvOAV6kFyw7IhNwsabZN/9L2s8ewqMH36PDnCEcfG1NXrpa/dvw0M436L9qCrsmf2pTXHZVfDBGxeb9boyOw65K6a1s7vf1J2NP2V02PYYOJn1HKKa4hDLTlkR5+aIl5N8LzAmxKK/Cx1NXsy467yoY/zhg076dJy/E/b21aFmZ5B4quSX3rzgVuT4zIxNwKnJ9OpVyff4bDAHeZBSJzxBY5D4V6EVGRP6xyYhMwFDC/T/4kW5Ebj9ebHm1Qe1IPHEFc46xXDH9k/d2n/lTCfxmCR4jHy1XLLcVs3b7/LtN/WcqF0qpRsDDQCdN01oAJqABsB54BXgD+FLTtJtP4e2AcUBjoA5w31/sewBwN9Be07QQ677yaJr2PhAB9NA0rUcp+3hGKXVYKXX4ZOrFW/9DC9DpdQx7fzy7V/xG/HVLAXFy6xFe7DyO1wdM4+zeP3j0bUsTaefH+/LnjqMkR93aTaW8XAb2wrFxA5JXWfoHuz00mMzfD2CKiSt5A70Ov9dmkbr6R8vbk3+Z3uBA03GDOf7m2mLr2rz4GEcXFG/N+Df4DhtAyo4j5EaV/IB+8fH5nGwzHJ2DPW6dmv3L0d3+jq3aymddJrP7tdV0GG/pVx7QojZmk5klbcfxaadJtHl6IB41EEs9SAAAIABJREFUbq21rKKknY/g/OKf6bR6Bh2+nkbyqat5byf/TclhF/i921RC+82k9vN3o3O0J/18BJcWr6fNmpm0+WYGKSf//dhOd3qSC4MncX38WwTNHYlDjYC8deFT3+N0++FkXQjH867O/2pcNzUe1ovQF7/iq3bPs2/+V3S7OXYFuPLbYb7t/gKbn3qXNlMf+MdicL2zJ45N6pG0vHgZVpDezxuXvl1I/vqnfywWlMLwyLNkri4+jqssGW9PJ2XCQyg7e+watSh7g/+oRs/fjWYycfX73wstd69flZDZj3D4hVtrlSqLLff2uFmvEvnw00Q9NRHHls1wGdTnH4lJVJ7/0oDuXkBr4JB1EKkBiAFeAg4BWcD4AukPapp2CUAp9Q3QGSitdO4NLNc0LQNA0zSbn9A1TfsE+ATg+VqPFHpa7fx4XzoMsQyavHb8Ip4F3lx6BHiXWiF4+LWnib0cya7P8wdZZiTlD0QOXb2dwdMtbw1qtapHnbYN6fx4XxydHbGztyMnIytvIPhfMcbGYRdQJe93fRU/TDHFH3qd2rXC46mhRI2cDLmW5mXHZo1xbNkMtwcHowwGlL0dWkZW3uBtn9mTyL12g9SvfygzjoLqD+9N3Uct9bj4Y5dwCfLh5ns+lyBvMqMSC6XPjErEucBbrJtp3GpWwbWGH4O2vgqAc6A3Aze9wsaB8/AJCabzx2Mtf4e3G1V7hWA2mQn/7Ui5YsyJischqEATcqAPudHle5vv0qohru0a4/v4APQulnwzZ2QRsXBVXhotO5fkLQfx6NOe1D3F32L9Hf5+PkQVuGlEx8Th7+eLv58vh47md6uLjo2jbcvmlpaKgulj4/D3K/8b6hbDetN8iOV4Rv1xCbfA/G3dArxJK3I8y+vM+v30WWDp29zo7o5c2fUHZqOJjPgUbhw+R0Dz2iRfiy1jLxaZkYkYClybToHeZEYmlJgmKzLB0v3KzZmchFTLW8pC2/qQGWn5m65+s5Or3+y0xDjjYbIibW/xyY4qsv8gb7KLlBvZkQkYqvqQnRebgdyE1EJp0s9HYErPwrVhdVKOX+LG1zu48bWlMbbezEfIirAtttzoeOwLXAP2NlwDAEbrxBQ516NJ238SQ5Pa5FyLyk9gNpP88278Rt1P4nfla2Fs8kRvGg61nGuxxy1lx00ugd5kFDnXMqIScSlYdgR6k25NU/+BLnmDuy/9coBuJYytiDxwFvcaVXDyciUrMa3Y+pIYY+KxC8iv+Nr5+2Is4SHOcEdLvJ4ZQsTwKXllbmkcG9XFvkYQNTZYWkOVkyM1Nizn2sCS+/6XREuMQ3nn3wt03n5oiQWOp5Mzuqq1cJ3+tuUzPLxxHv8SGe/PxXSlHAPajbnkHt2HXauOGP8MK3dcAFlFrk9DoDdZRa7PrFKuz39K3eF9qG29TyUcv1SoVdIQ6J1XBtyUGZmY190JLPejzALXca2HuhLUuyU7H3q10HaGQG86fz6RA+OXkH41hvL6p+7tJmurtZaRSfpv23Fo2oD0X7eUO67Kpt3GLQa3i/9S5UIBKzVNm1FooVKBgCtgDzgBN/tBFD17Ku1s2vvFZvZ+sRmAxj1a0uWJfoSt30fNlnXJSs0gJbZ4f8+Bkx/C4ObM6mmfFFru7ueZl75ZnzZEX7wBwBcT8mfmaPdAN6o3q12uigVAzqmz2FWvil1QAMaYOFz6dSduZuHCzb5BXbxnTSBm7IxCg7fiZr+W97PLXX1xaFw/r2Lh+dwIlKsLiS+9Xa44Cjq3YivnVliGu1Tt1YL6I/pwZV0ovq3qkJOSQWaRPrKZMUnkpmbi26oOcWEXCX6gM2c/30zSmXDWNh+Tl+6eA++yccAcshPSWHfHpLzlHd59hhtbj5a7YgGQcfw8jsGBOFSvQm5UAl53deHK+PL9rVeffyfvZ+8HeuLcvC4RC1ehc3ZC52rAGJMIeh3uPduQdvDUX+zp1nTvfAfffP8zA3p3449TZ3B1dcHP15tO7Vvz3tIVeYO49x0MY8LoEXi4u+Hi4szxk6dp3qQh63/bxtD77yr35x1btZVjqyzHs3bPFrR8og9n1ocS2LIO2akZJY6tKI1nLX+SrkRb9tWrBYlXLA+jqRHx1OjYhD9/+B17gyNBrepyZFn5Z2ZKOnYR19oBONfwIzMygWr3dODwc4sLpYnafIQaD3Uh8ch5gu5sT9zvp/KWt/loLBeXbsApwAvX2gEkHrX0q3bwdScnLgVDVR+CBrZl96Dis/uUJfnoRZxrB2Co4UdWZAIB93Tkj2c/KJQmZtMRgh7qStLh8/jf1Z74vZbYDDX8yLoRj2Yy41TNF5e6QWRejy0Um1NVH/wHtmX/QNsGtmYcP49DrSDsq/ljjI7H866uXBv/Vrm21bu7YM7KRssxovdyx6V1I2KXWGZbc6gZSM5VS0une+/2ZF8ML3dMp1Zu5dRKy7lWo2cLmozow8WfQqnSqg45qRlkFDnXMmKSyE3LpEqrOsSEXaT+A505udxSXmdEJxLYoRGRoaep2qkJyZct55p7LX9SrOegb9Na6B3tyl2xAMg+eRb7GlWxq2rJN9cB3Yl+YWGhNA4N6+A3bzyRo2ZhSkguc58Zuw9ytfuQvN+DD66zqWIBYLp8Fn2VqijfALTEOOzbdSdjaYF7QWY6qePvz/vVZdrbZK1Z+tcVC0cnlJMzWnIC6HTYhbTHdM72CTSSjl3EpcD1WfWeDhwp4fqsXsL1+U+5sGILF1ZYHqoDe7Wg3pN9ubYuFJ9WdclNzSSryLmWZb1P+bSqS3zYBWo92IXzyzYBENCjOQ3H3MmO+17GlJk/bsXe3ZmuX0zh+KuribNxRrJ/5N6u16Fzc8WclAJ2egxd7iDrgG0VRXH7+y9VLrYBPyml3tU0LUYp5Q24AR8Ac4Bg4HVgrDV9O6VUMHAVS3eqT0rY501bgLlKqa80TctQSnmX0HqRav28Uvr/lM+fO47SuEcL5ux6j5zMbL6emt+8PHXDQt4cOB2PAG/6jbuPqAs3mPKr5QK/OeVs1xH9adq7NWaTmYykNL6a8vHfCcfCZCbh9Q+o8uFC0OlIW/8buZeu4jH6CXL+PEfm7lC8JjyDztmA3xuWhw9jVAyxE0t/SNJX8cVj5KPkXr5K4NeWGFPX/ETaOtunuryx7RhBvUK4e9/bGDNzCJ2YfygHblnAhj6zADg4YwUdFz2D3smBiB3HiSihz2qFMpkJn/MJdb6Yb5mKds02ss5dJ2DSUDJOXCBly0Gcm9cl+NMZ6D1c8ejdloBJQzjTe1ypu9Q5O1J72Sx0DvagU6TtO0Hcl7ZPXTp13kIOHf2DpKQUet3zGM899ThGo6Wf7sP3DqJrh7bsCT3EgIeexODkxMszJwLg4e7GqOFDeGTk8wCMHjE0b2D47Mlj8qeivaMtXTrc2uxfl7YfI7hHCCP3vE1uZg6/Tck/nsM2LmDVAMvx7DrzERrd3RF7gwOjDrzPidU72ffuD7Qc3peanZtgzjWRlZzOxkmWPsFHV26h/9vPMHzrQpRSnPx2N3Fnrpc7Ls1k5o+ZK+j4zXTLVLTf7CT17A0avvAASccuEbU5jKtf76T14ufoHfoOuUnpHBplecBPPXuDG+v302v3m5iNJo7PWJ7Xn7bdZxNw8HZFy7Usz03JsDnPNJOZP2csp83qmSi9jvBvdpB2Npy6LzxI8vFLxG46QvjXO2i+eAxd9i8iNymN46PeB8CrXUOCxw1GM5rQzBp/Tv88r0WjxbJJOHi5Yjaa+HPGcoy2xmYyEzF3CbVXvQh6HYnfbiX7/DX8Jz5K5onzpGw9iKF5PWounYmdhyvuvdriP/FRzvUdg2Pd6lR9dYylW6JSxHy8luwL10Epqr89AZ2rM0opMk9f5sbsj2zOM4Br249Ro2cIj+x9G2NWDjsn5Z9r929awPf9LOfanpkr6PGOpey4vvM4161lx+4XltHxxcfR2ekwZueye5qlS0rwwLbUv78zZqMJU1YOW59dXPzDy8i3uFc/JHDpqyi9jpQfN5N78SpeY4aRfeocGTv34zP5aZSzAf93ZgNgjIwhatx8AIJWvo1DcDWUs4GaW78kZu67ZO4r/4uRUpnNZH71AS6TLfeC3D2/YY64iuM9T2C6cg7jsb+exMHtzS/ByRllZ499y06kvz0NLS0F5+dfRtnZg1IYzxwnZ4dtU0RD/vXZwXp9Xivl+my1+Dl6Wa/Pw6PyK+B9Dr2HnasBnYMdgf1bE/rIQlLP3aDxnCFUu7cjeoMDfcM+4OrXOzn71velxlGayG3HCOzVgkGh72DMzOHgxPyxCn23vMrmPjMBODJjOe0XjULv5EDk9uN5YytaLXgCvYM93VZb3p/Gh13gyLTPqfdkX1yD/Wky8T6aTLT07t71yEKy48sxCck/cG9X9g5U+XAhys4OdDqyDoSR9uMGm/NL3N6ULTNw/K9TSj0MzMAy1iQX+AkI0TTtfqWUHthnXW/G0l0qFagL7ACe0zTNrJS6ArTRNC1OKZWmaZqrdd/TgWFADrBB07SZSqkVwC+apq1VSo3DUnGJKG3cxU1Fu0XdLiZ5/6160T9qT1RA2YkqSRO7f65Z/e9oGvZuZYdQqvda2f52/t9SN+f2nOPc6Taeez3IUP6B8f+2UKNHZYdQot6e5euOVxl825oqO4RS7dxYpexElSTrFr/X5592R2B0ZYdQqpphW2+7TEsdf+dt84zm9v4vt13+wH+r5QJN09YAa0pZZwLaAyilugMpmqYVmxxd07RaBX52LfDzQmBhkbTDC/z8AZZWEiGEEEIIIf5f+s/MFiWEEEIIIYT4Z/2nWi7KS9O0ncDOSg5DCCGEEELcTkr4UltRmLRcCCGEEEIIISqEVC6EEEIIIYQQFUK6RQkhhBBCCFEe8iV6ZZKWCyGEEEIIIUSFkJYLIYQQQgghykNaLsokLRdCCCGEEEKICiGVCyGEEEIIIUSFkG5RQgghhBBClIOmSbeoskjLhRBCCCGEEKJCSOVCCCGEEEIIUSGkW5QQQgghhBDlIbNFlUlaLoQQQgghhBAVQioXQgghhBBCiAoh3aKEEEIIIYQoD+kWVSZpuRBCCCGEEEJUCGm5uA3NaRRZ2SGUaM5p/8oOoVRDzVmVHUKplugcKjuEEtVrNbeyQyjV82EvVXYIpVrXbE5lh1CiFP3tW5y/ZzJWdgilesxc2RGU7LU0t8oOoVTNtjlVdgil0ttXdgSli9Hfnm+8tyd4VXYIpVpa2QGUQJOWizJJy4UQQgghhBCiQkjlQgghhBBCCFEhbt92dCGEEEIIIW4n0i2qTNJyIYQQQgghxP9DSqn+SqmzSqkLSqnpf5HufqWUppRq83c/UyoXQgghhBBC/D+jlNIDHwIDgMbAEKVU4xLSuQHPAwcq4nOlciGEEEIIIUR5mG+jf2VrB1zQNO2Spmk5wGrg7hLSvQy8DlTI1JtSuRBCCCGEEOJ/jFLqGaXU4QL/nimSpCpwvcDv4dZlBffRCqiuadqvFRWXDOgWQgghhBDif4ymaZ8An9zq9kopHfAOMLyiYgKpXAghhBBCCFEu/2NfoncDqF7g92rWZTe5AU2BnUopgABgvVJqsKZph2/1Q6VblBBCCCGEEP//HALqKaWClVIOwCPA+psrNU1L1jTNV9O0Wpqm1QL2A3+rYgHSciGEEEIIIUT5/A+1XGiaZlRKjQU2AXrgc03TTimlXgIOa5q2/q/3cGukciGEEEIIIcT/Q5qmbQA2FFk2t5S03SviM6VblBBCCCGEEKJCSMuFEEIIIYQQ5VG+75f4T5OWCyGEEEIIIUSFkMqFEEIIIYQQokJItyghhBBCCCHK4X/sey4qhbRcCCGEEEIIISqEVC6EEEIIIYQQFUK6Rf2PsW/dDpfR41A6HVm//Urmd18XWu80cDBOd94LZhNaViZp77+F6dpV7Oo3xHX8FEsipcj4agU5+/ZYfnVxxXXCVPQ1g0GDtHdfx3jm1C3F99C8ETTp0ZKczGxWTfmI66cuF47fyYGnP5qEX01/zCYzJ7YdYd3rlr/BK8iHJ94eg7O7C0qnY93rX3Nq51FcPF15+uNJ1Gxel/1rd7Jm3uc2xeTVowW1Xx6B0uuI+mob4YvXFVqvHOxo8ME4XJvXJjcxjTOj3iH7eizKTk+9d57FtVkwSq8n+rtdhH/wIwBtD32EKS0TzWRGM5k51m/aLeUXwMPzRtC0RytyMrNZMeXDEvNs1EeT8/Lsj21H+PH1r6x55suIt8dgcHdBp9Px4+tfcXLnUXR2eoa9PpoaTWqjs9Ox/4dd/PbRupI+/i/1fPFxgnu0wJiZzcbJnxBz8kqxNJ2nPkjj+zvj5OHC+41G5i0PeawnLYb1QTOZycnIYsv0ZcSfj0Bnp6ffGyOp0rQWOr2OUz/s5eCHP5c7ptmvvsPu3w/i7eXJui+XFFuvaRqvLVrCntBDODk5smDWZBo3qAvATxu2sHTlagBGPfEIdw/sA8CpM+eZveAdsrKz6dKhLTMmjEYpZUtW5Wnx8jACe4VgzMzh0ISlJJ24UiyNZ/NatFs0Gr2TPZHbjnNszioAqt3ZjsZT7se9XhDbBs4l8Xjhc8FQ1Yf+u97g1Fvfc27JhmL7LUvblx6nas8WmDKz+X3iJySUcDy9m9Wi07uj0Ds5cGP7MQ7N/aLQ+sajBtBm7qOsaTqa7MQ0moweRPB9HQFQeh0e9arybfNnyUlKL3dco18cTduebcnOzObtSW9z8eTFUtPO+3weATUCeLb3swB0HtSZxyY+RvV61Zlw1wTO/3EegB739OD+0ffnbRfcKJhxA8Zx6c9L5Y4LoPXLljwzZmYTOvETEks4nt7NatFhUX6eHZljybPmUx+gWr9WaJpGdlwKoROWkhmdRJUOjei2fCJp12MBuL7hECfftf36HDLvSZr1aElOZg6fT1nMtSJlB8CElbPwqOKFTq/n/KHTfDXnMzSzGRcPV0YtnohPtSrEh8ewZMw7ZKSkl3u/f6Xbi49Ty1pubJ78CbElnGcdpj5Io/s74+jhwscFyo2gdg3oNu9xfBtVZ+PYxVzYcChvnVuQD73eGIlboDca8NMTb5IaHmdTbF1efJya1uO5bVLJsd3xwoM0sMb2ScP82HQOdvRZNBq/ZsFkJaay6bnFpIbHobPT0/ONkfg1q4XS6zj7/V6O2FCm3TRw3jDq9QghNzOHH6csJfJU8dh6TXmQFvd1wcnDhQVNnspb7lHVl3vfeBpnb3cyk9P4fsLHpEQl5K13dDUwdssbnNl8mF/nrbQprr9zj/Ku6ssTbzyHq7c76clpfD7hfZKiEqjWuBaPvvI0Tq4GzCYzGz/8gcO/7LMprkojs0WVqcyWC6XULR1tpdQ9SqnGt7LtP0Ep5amUeq6cadP+6XhuiU6H65gJpMx5gcRRT+DYvRf6GjULJcneuZWk50aQNHYkmd99g8vTYwAwXr1M0vhRJI0dSfLsqbiOmww6PQAuo8eRc/ggSc8MI2nMk5iuX72l8Jp0b0mV4ADmdR/P1zM/YciCkSWm2/rpz7zYayKvDnqBOq0b0KR7CwAGjL2fsF9DeXXQNJaNW8SQVywFZ252Lj+/vYYfXv2ixP39JZ2OOq+N5NTQBRzpOhG/ezvjXL9aoSQBQ3thTErncIdxRCz9heDZjwHge1cHdA72hPWYzNF+LxA4rA+O1f3ytvvj/vkc7T31b1UsmnZvSZXgQOZ0H8eXM5fy6IKnS0y3+dP1zOs1gVeK5Nmgsfdz+NdQFgx6gc/GLWLIK5Y8bz2wA3YO9rzUfzIL7pxGl6F98KnmV+K+SxPcIwSvWgEs6zqZzdOX0WfB8BLTXdwaxleD5xVbfnpdKCv7zmDVgFkcWvIr3edY8rX+oHboHexY2XcGXwyaQ8jQnrhX8y13XPcM7MOSd14pdf2e0ENcC49gw5plzH9hPC+/tRiA5JRUPl7+Nd98uohvPl3Ex8u/JjklFYCX31rM/Gnj2bBmGdfCI9i7/3C54ykooGcIrrUD2NhxMkemLqPVwhElpmu98EkOT/mMjR0n41o7gICeIZYYz4az76lFxO4/U+J2LeY/RuT247cUW9WeIbgHB7Cu82RCpy2j/WvDS0x3x2sjCH3hM9Z1nox7cABBPZrnrXMO8iaoazPSCjzQnVryK7/0ncUvfWdxdOG3RO8/bVPFom2PtgQFB/FUl6d4f9r7jH11bKlpO/bvSGZ6ZqFlV89e5eVnXubkgZOFlu9Yt4Ox/ccytv9Y3prwFtHXo22uWARZ82x9p8kceGEZ7UrJs7YLR7B/6mes71Q4z/78+Fc29J7Jxj6zuLH1KM0m3pu3TeyBs2zsM4uNfWbdUsWimbXsmNl9HKtmLuGxBc+UmG7JmHd4ccAU5vWdiJu3O20GdQBgwLP3cHrfCWb1GMfpfScY8Ny9Nu23NLV6hOBZK4CVXSezbfoyepZSblzeGsbqEsqN1Ih4tkxeytmfij969H13NGFLf+WLXtNYc9dcMuNSbIqtZo8QPIMD+LLLZHZMW0a3V0uJbUsY391VPLbGj3QnOymdL7tM5vhnv9Fx5iMA1L2zHTpHO77pM4NvB86hyaM9cbOhTAOo1z0En+AA3us+mfUzl3HXgpLLjrPbjrL07uLff9Zv5lCO/bCXjwbMYOd7P9L7hYcLre85+QGuHiy5XPkrf/ce9cDMYYT+sIuXB0zh1/fWcu8LjwKQk5nN8kkf8GLfSbz/xAIemjscg7uzzfGJ21OZlQtN0zre4r7vAUqsXCilKqPFxBMoV+XidmVXvxGmiBuYoyLBaCR713Yc7uhcKI2WkZH/i5MBbo47ys4GswkA5eAAmmWFcnbBvmkI2Zt+taQzGtHSb61uFdK3Dft/2A3A5aPncXZzwd3Ps1Ca3KwczoVaWkVMuSaunbqMZ4DPzehxcrUULgZ3Z5KiEwFLIXTx8Flys3NsjsmtZV2yLkeRdS0GLddI7Lrf8e7XtlAan35tif52JwCxv4Ti2bmZNRwNnbMj6HXonBww5xgxpWZSkUL6tmX/D7sAS54ZyswzI9dOXcbLmmcaGgZXA2DJs2RrnoGGo8ERnV6Hg5MDphwjmTbGXrdva059vxeAyKMXcXR3waWKZ7F0kUcvkh6TVGx5Tlr+59kbHPPOOTSwd3ZE6XXYOTlgyjWSY0NsbVo0w8PdrdT1O/buZ3D/XiilCGnaiNTUNGLjEvj9wBE6tG2Jh7sbHu5udGjbkt8PHCE2LoH09AxCmjZCKcXg/r3Yvie03PEUFNS/NVe/s7QIJoRdwMHdGacieeZUxRM7NwMJYRcAuPrdHoL6twYg9XwEaRcjS913+rUYUs6G31Js1fu15uJay/GMC7uIg4cLhiKxGap4Yu9mIC7M0nJwce1eavRvk7e+7fzHOLJgdf6xLCL47g5cWWdb3t3R9w62fb8NgDNHz+Dq7opXFa9i6Zycnbjv6ftY/f7qQsuvX7jOjUs3/vIzut3djV3rd9kUF0C1fq25ZM2zeGuelXQ87d0MxFvz7NLavVSz5pmxwDVgZ3BEKyXfbkWLvm0J/WGn5TOPnsfZzRkPv+LXZ5Y1Br2dHjt7u7xj16JPW/attWy/b+1OWvZpa9N+S1O7b2tOW8uNKGu54VxCuRF19CIZJZQbqeFxxJ25XmzQrHe9IHR2Oq7tsVQiczOyMWbZdk8I7tuaM9bYov8ituhSYqvdtxVn1lqu7wu/HqRapyaAJUvtDfllmjnXWKj8K4+GfVtz7AfLvsOPXsDJzRnXEvI9/OgF0mKLx1alXlUu7bPcJy6H/knDPq3z1gU2rYWrrwcX9pywKSb4+/eowHrVOLvPcszOhp4kpI/l2oi5HEnMlSgAkmMSSYlPxs3b3eb4KoNm1m6bf7er8rRcpFn/766U2qmUWquUOqOU+kpZ+w0opRYqpf5USv2hlHpLKdURGAy8qZQ6ppSqY912kVLqMPC8UmqFUuqBUj5nl1LqJ6XUJeu+H1VKHVRKnVBK1bGm81NKfa+UOmT918m6fL5S6nPr511SSo23fsRCoI41njeVUq5KqW1KqTDrfu8u4W//q7+5tTXOI0qpTUqpQOvy8QXyYrV1WTfr5x5TSh1VSpX+ZPRXB8vXF3NsTN7v5rhYdD7F34443XkPXp9/jctTo0lb8l7ecrsGjfBcsgKvj5eTtvgdMJvQBQRiTk7CddJ0PBd/huvzU8HR6VbCw9Pfm8SI/DeaiVHxeAZ4l5re4O5M816tOfu7pcD75d3vaHdPF14N/Zixy2fwrY3dn0riGOhNdoGYciLjcQwsHJNDwTQmM8bUDOy83Yj7ZT/mjGzu+ONT2h1Zwo2P12NMsla8NI1mq+fQYtPrBDzW+5bj8/T3JiEiPu/3pKh4vMqRZ2esefbzu9/S/p6uLAxdwtjlM1htzbMjG/aTnZnNGwc/5bV9H7Pl05/JSLat0uga4EVqZH5sqVEJuAYUf+j7Ky2G9WbknrfpOvMRts2zdP05t+EguRnZPHt4MaP2L+LwJxvISi7/m+6yRMfGE1Al/7rwr+JLdGwc0bFxBFTJb73x9/s/9u47PIpqfeD49+ymF9LJJvTe0yB0pENAQOyABfR6bVwU6QKWq4CoqIh4FewNxMLFRpXeO6FI75DeSNv0+f2xy2YTUnYxmHh/7+d5eGBnzsy8e2bOmT1zzhmKlwdapw/wJz4xmZvhavAl2+p8Zsem4BpUMs9cg3wwxhQPVzDGpuBawTkH0Ls503LsUI69tfym4gJwM/jcEJtbqfPpZvAhOzalzDT1BkSQHZtK6h+Xyo7RxYngXiFctBrGYgs/gx9JVmU0KTYJf8ON9drDkx9m+UfLyTHm2LV/gJ5De7Lpp012b3dDnsXYkGel0oROvZfh+96l4V1dOfzmj5bl/u2bMnjdbHp/PRmv5nXsjs070K9E3ZEal2L1oKak8V/O5O39n5CTZWTfyl0A1Arf4Nc9AAAgAElEQVTw5pr5R+q1xDTLD0Z79lsWD4MPmVb1RuZN1Btl8W4URG56NrcvepaRK2fRffpIlM6+oYseBh8yrb5bZqx9sbkbfMgwl12tsIi8jGxcfDw4+9se8o25PLp/IaN3z+fgopXk2tF7B1Ar0JdrVrGlx6VQy47Y4o5fonWUqYHYamAHXDxdcfX2QClF1MwHWDN7SSV7KNufvUddOX6R8KhOAIQP7Iirpxvu3h4ltmkY2hQHRwcSL8bfVIyi5rF3Qnc4MB5Tj0RjoJtSyg+4E2ijaVoIMEvTtB3Az8BkTdPCNE27PoDWSdO0DpqmvVXJcUKBJ4FWwENAc03TOgIfA+PMad4F3tE0LRK427zuupbAQKAj8JJSyhGYBpw1xzMZyAHu1DQtAugNvHW94WDDd3YE3gPu0TStPfApMNucfhoQbs6LJ83LJgFjNU0LA3oANzzSUEo9rpTap5Ta9+Xlsp9c2irn1xWkPjqK7E8X4TbyYcvygpPHSXtyDGnPPonrfQ+AoxNKr8ehaTNyfvuJtH89hpaTg9t9o/7U8W2h0+v4x4Jn2fj5KpIumxpMkcO6sfOHTUzv8hQLH3mNMe+Mu+lx71XBM7wpWmERu0MfZ2/Hp6nz5FBc6tcGIHrYCxwcMIVjD8wm6JEoanVudcvj0el1PLZgPBs/X2nJs47DurPjh41M6/IkCx95jUfMedYotClFhUVM6fQ4M3qMpd9jQ/GvV/uWx1jaoS9/5+MeE9ny2rd0eWY4AIawxhQVFvFh5Dg+6jaBDv8cjFd9+4Zs/X/TZtLdnFq8isLs3Go5vt7FibbjhnFo3g/lpqk3IJyEfafsGhJlq8atGxPUIIgdq+0fpdsirAU5xhwunry54Z5/VvTr37Oiw7NcWL6D5o+a5vikHLnAio7jWdl/Bic/Xcttnz53S2OY//AsJnb8Jw5OjrTq2rbMNFXZq3Ir6Bx0BEe2YOvsJXw79EW86gfQ+t7bqjssAGqHNUYrLOKzDuP4susEwh4fTK2/uE5bM/sbGnZqxVO/zaZh51Zci01BKyoi8qF+nN4YXWL+xa1S1j3qh9lf0rxTa2b89gbNOrchNTaZoqLiSQu1Arx55O1xfDH5PzX+GhS2s3d40h5N064AKKUOAQ2BXZh+qH+ilPoV+LWC7ZfZeJy9mqbFmo9zFlhrXn4EU0MAoB/Q2urHZy2l1PXm8G+apuUCuUqpBCCwjGMoYI5S6jZM03PqmNPFlUpX1ndOA9oC68zH1wPXWwSHgW+UUiuA6wNptwNvK6W+AZZf3581TdMWA4sBkgb1LLOEFSUloQso/oGo8w+gKLn8yWy5m9fj/q8bb1qFly+iGY04NGxEYVIiRUmJFJw8btpm22a7Ghc9HxpIt5F9AbgYfRafYH/gJAA+Bj/SyqnQHnjtCRLOx7Hh0+JJqV3v78PC0XMAOH/gNI7Ojnj4epKRbN+4Wmu5sSk4Bxc/BXUK8iM3tmRMeeY0ebEpoNfh4OlGQUoGAZN7kLrxIFpBIflJ6aTvPYlHWBNyLiWQZ/5e+UnpJK/ag2d4M9J3Hbcppl4PDaT7SFNvx4XoM/gG+3G99e1t8CO1nDx78LUnSDgfy3qrPOt2fx8WjDa1a88dOGXJs453dOfY5kMUFRSSkZzO2f0naBDSxFLhlyfs4X6EjDQVsbjD5/AMKn5i6WnwJTMutbxNK3Ti5130N48hbnVHVy5sPkxRQSHZyelc3XcKQ0hjrl1KvKl9lxYY4EdcQnG5iE9IIjDAn8AAf/YePFy8PDGJyPAQU0+FdfrEJAIDbH9S22RMfxo/YMqzlOhzuAX7cf05n1uQL8bYknlmjE3FNbj4yZ9rkC/GSm78vhFNqDukIyEvjMSxlhsUaRTm5nP2s3UVbtdidD+amWNLPmSK7Tq3IF+yS53P7LhU3Kx69q6n8WxYG4/6AQxdN8eyfMiaWfx2+0vkJF4DoOEw24dEDRk9hKiRUQCcij6Fv1UZ9Q/yJymuZL3Wqn0rmoU04/Mdn6N30OPl58Xr373O1Psqn+/U846ebP7J9iFRzcf0o8n181k6z4JtyLMy0gCc/+8Oen81iSPzlpcYLhWzIZrI18bg7OtBbkrFvYu9H4qih7m+vRB9Fl+r2HwMvqTFld/jVpCbz6F1ewnrH8kf2w6TnpiGl7n3wivAm4wk03lMi0+2a78AIQ/3o6253og/fA4Pq3rD40/UG9YyY1NI/OMi6eZ64uza/RjCm8Kyis9tu9H9aG2OLSH6HB5W380jyL7YsuJS8Qz2JSsuBaXX4eTpRk5qJs2Hd+XSJlOdZkxOJ3bfKWqHNLbEWp6OD/WnvTm2q9Hn8LKKrZbBl3Q7YstISOPbJ+cD4OTmTOuojuSkZ1MvohkNIlsQ+VA/nNxc0Ds6mF6w8Xr5P8eq8h51LSGVD5+cB4CzmwsRUZ0wppuGb7t4uDLus+f5ad5Szh88bfN3rXYyobtS9vZcWD82KwQcNE0rwNRD8AMwBFhdwfbWj7QKrh9fKaUDnMo5TpHV5yKKG0Q6oLO5JyJM07Q6mqZllrF9IWU3oh4AAoD25h6FeKCs8UBl7UsBx6yO3U7TtAHmNLcD7wMRwF6llIOmaXOBxwBXYLtSqmUZx6lUwakT6IProgs0gIMDzj37kLdre4k0uuDi7nWnjl0ovGpqx+gCDZYJ3Lragejr1acwPg4tNYWixET0deqZtgmLoODSBZtj2vzVGuYMnsKcwVOIXruHzneZniQ1Cm+GMSOb9DLGhg6beD+unm58/8rnJZanxiTRopvpqZqhSR0cnB3/VMMCIOPQGVwaB+FcvzbK0YGA4d1IWVty2Eby2n0E3tcLgIAhXUjbbhofmns1Ca/upnh0bs7Uat+M7NMx6Nyc0bu7WJb79Awl+0TZQ0XKsumrNcwaPJlZgydzaO1eOt/VE6g4z+6YOAJXTze+K5VnKTFJtOxmmiNiaFIHR3OepcQk0dL8hNLJ1ZlG4c2JO1vxuHQw9TR8OWgGXw6awZk1+2lzt2lOT1B4E3IzssucW1Ee74bFbfrGfcNINY+vzYhJpn5X01hlR1dngiOaknwmxub9VqZX9878vHo9mqYRffQ4Hh7uBPj70q1Te3bsOcC19AyupWewY88BunVqT4C/L+7ubkQfPY6mafy8ej29u3e2+XhnP1/Huv7TWdd/OldX7aPBvT0A8I1oSn6GkZxSeZaTkEZBhhHfCNMbrBrc24OY1fsrPMam4a+ysuN4VnYcz+mPVnN8wU+VNiwATn7xu2Wy9aU1+2lyj+l8+kc0IT89G2Op2IwJaeRnGPGPaAJAk3u6c3nNftJOXOH70LEs7/wcyzs/R3ZsCr8OnGlpWDh6uhLYuSWX1xywIcfg1y9+tUy23rlmJ33vNv1gbhnekqyMLFITSv6o+u2r33iww4OM6TqGiXdN5Or5qzY1LJRS9BjSw675Fqc+/90y0fry6v00NueZX0QT8tKzyzyf+RlG/Mx51vie7lxZYzqfno2Ky0DdgRGknzE9g3IJ8LIs9wtrjNKpShsWABu/Ws0rgyfzyuDJHFy7hy539TId01x3XCtVdzi7uVjmS+j0OkL6RBBrrgcO/b6PrveYtu96Ty8OrTPVi4fW7at0v6Ud/vJ3lgyawZJBMzi7Zj+tzPWGwVxvlDV/wV7x0edwruWGq69pVHG9rm1IOV15nXbki99ZFjWDZVEzOLdmPy3NsQWGNyHPztjOrztAy3tM5bvp7R25sv0PADKvJlvmXzi4OmMIb0qqDXXanq/W8cHg6XwweDon1u4j7C7TvuuGNyUnw1jm3IryuPl4WHr6ezw9jIPmeYQ/jv8Pb3d7lne6j2fNnCVEL99aYcMCqvYe5e7jaYkr6uk72f7dRgD0jg48tWgyu5Zv5sCqXTZ/T/H38KcnVpt7C9w0TVuplNoOXH8dRwZQ0dyCC0B74DtM8zMc7Tz0WkxDpN40xxGmadqhCtKXjscLSNA0LV8p1RtoUPZmZToJBCilumiattM8TKo5cByop2naRqXUNmAE4KGU8tM07QhwRCkViWnYlv2vbSgqJPOD+XjNmgd6HTlrV1J46QJuDz1KwakT5O3egevQu3AMbw8FBRRlZpL51msAOLYJwfW+UVBQAJpG1vvvoKWbfhhkfvAuHlNmohwdKYyNIfOduXaHBnB040Ha9o7glc0LyDPm8eXk/1jWTV/5BnMGT8Hb4MugcXcTe+YKz//2OgCbv1jN9mUb+GHWlzw49wn6/uN2NA2+nFS8/axtC3HxcEPv6EDogEgWPDSLuDOV31goLOLs9I9pu3QmSq8jfukGsk9eocGU+8k4dJaUtfuIW7KeFgufocPO9yhIy+TEE+8AEPPpapq/O5aIze+gFMR9u5Hs4xdxqV+bVp9NAUA56ElcvpXUjRVdehXl2QHa9Q5n1ub3yDPm8cXk9y3rZq58k1mDJ+Nt8GWwOc9m/PYGABu/WHVDnqHB55NM22/6cg2j33yal9a+DUqx8/uNXLWjAQRwbsMhGvUO5bGtb5FvzGP1pMWWdQ+vms2Xg2YAcNv0EbS6oyuOrk48sXsBR77dxI53lhM+ZgANurehKL+QnGtZrJqwCICDX6wj6q3HGfP7XJRSHP1uC0knLtsc1+SX5rL34GHS0tLpO/xBnv7HQxQUFABw/523c1uXSLbu3Mug+x7F1cWFV6ebeu+8annyxJiRjHjsWQCefGSUZWL4zIlji19F2zmSHl0iyz54JeLWHyKobxiDdr5NoTGPvc8tsqzrv24O6/pPB+DA858RaX51adyGaOLMb4AKHtSB8FmjcfbzpPtXk0k7dpGtI1+/qVhKu7r+EHX6hHLn9rcoMOaxY0Lx+Ryydja/DjCdz93TP6frO4/j4OLE1Y3RXLXh7VT1B3UgZssRCoz2D9vau2EvkX0i+XTbp+QYc3hn4juWdQtXL+RfUeW/PQpMb5B66pWn8PL14t+f/5tzf5xj5oMzAWjbqS1JMUnEXSrdIW2bmPWHqNM3lGE73qLQmMfO54rzbNC62azqb8qzvc9/Tpf5j6N3cSJmYzQx5jwLm34/tZoEoRVpZF1NYs/UzwCoP6QjzR7ui1ZQSGFOPtueev/Gg1fiyMYDtOsdwZzNC01v3rGqb19c+SavDJ6Ms5sz//p4Go5Ojiid4sTOo2z+xjQQYNUH/+XJ9yfS/b6+JF9NZNHYtyvdry0ubDhEw96hjN5qus7WWdUbo1bNZom53ug2fQQtzPXGo7sXcOzbTex+ZzmBIY25/aPxuHi50ahfOJ0n3M3X/aahFWlsm72Uu5Y+D0qRcOQ8R5dutCu2ixsO0aBPKA9tM8W2fmJxbPevns2yKFNsXaePoPlwU2xj9izgj6Wb2PPOcv74djP95z/Jg1vfIjctkzVjTW+iO/LFOvq+9TgjzXXa8e+2kGxHnQZwauMhmvUOY/zmt02vop1cXHc8tXIOHww21R0Dpo2knTnfJu58jwPLNrJx/nIadm5N/yn3o2kaF/ec4NcXP7fr+OX5s/eoFp3bMHzKKNA0Tu85ztIXTSPYO9zehWYdW+Hu40mXe0y9N59Pep8rf1yokrhF9VKVjXFTSmVqmuahlOoFTNI0bYh5+UJgH7AG+AnTU38FzNM07QvzBOuPMD35vwf4xLz9PvP2gebtXDH1dowt5zibrm9nvU4p5Y+ph6AVpkbSFk3TnlRKvQxkapo2z7z9UWCIpmkXlFJLgBBgFfA68AvgYf4enYFB5nQVfmdN0z5XSoUBCzA1UhyA+cDnwEbzMgV8rWnaXKXUe5iGcxUBx4Ax5mFbZSpvWFR1e+F4WaPLaoZROTW3n/Jrl+qbN1KRZkXO1R1CuZ498Ep1h1CuFe1eqO4QymS0c3LrX2mp7uYmyP8VHiy0fQjcX2mjk/0T1/8q7Ypu7qUffwV9jbx7miTU0ODisf9NjH+VRRe+r3EVW/LQmvMbze+XzTUuf8CGngtN0zzMf28CNlktt36c1LGM7bZT8lW0vUqtj8f0g/66qeUcp5fVvy3rNE1LAkq+yNm0/OVSn9ta/bv0ZIIupbc3p6v0O5t7ScqaTda99AJN08aVkU4IIYQQQoj/KfbOuRBCCCGEEEKIMlXHf2YnhBBCCCHE30/NHYVdY0jPhRBCCCGEEKJKSONCCCGEEEIIUSVkWJQQQgghhBA20GRYVKWk50IIIYQQQghRJaTnQgghhBBCCFtIz0WlpOdCCCGEEEIIUSWkcSGEEEIIIYSoEjIsSgghhBBCCBvIhO7KSc+FEEIIIYQQokpI40IIIYQQQghRJWRYlBBCCCGEEDaQYVGVk54LIYQQQgghRJWQxoUQQgghhBCiSsiwKCGEEEIIIWwgw6IqJz0XQgghhBBCiCqhNE2r7hhEKcuCHqiRJ8WjqOY213OVqu4QyuVSQx9z5Kma+2whvwafz+FHXq3uEMr0S9uZ1R1CuRypkVUaABcc9dUdQrnq59fMuqMmq7lXGjjW0N9bBTW4vr0jbkmNCy6+V68acyIDN22qcfkD0nMhhBBC1DjSsBBC/F1J40IIIYQQQghRJWRCtxBCCCGEEDaooSOdaxTpuRBCCCGEEEJUCWlcCCGEEEIIIaqEDIsSQgghhBDCBlpRjXxBU40iPRdCCCGEEEKIKiGNCyGEEEIIIUSVkGFRQgghhBBC2EDeFlU56bkQQgghhBBCVAnpuRBCCCGEEMIGmiYTuisjPRdCCCGEEEKIKiGNCyGEEEIIIUSVkGFRQgghhBBC2EAmdFdOei6EEEIIIYQQVUIaF0IIIYQQQogqIcOihBBCCCGEsIFWJG+Lqoz0XAghhBBCCCGqhDQuhBBCCCGEEFVChkX9DYW/+jBBfUMpNOaxZ/wiUo9cuCGNT0hDOs5/Er2LI7Hrozn4wpcAhL4wkuABERTlFZB5MZ494xeTn55N4G1tCZkxAp2jA0X5BUS/soSE7X/YFVdA71Baz3oYpddx+ZuNnH3v5xLrdU4OhC58Gq+QRuSlZnLw8XcxXk7C/7Z2tJw5AuXkgJZXwPFXlpC87RgAkUun4RLojdLrSdl9gqPTPoUize48C5n1MIa+YRQa89j/7IeklZFn3iGNaP/uE+hdnIhbf4jDM0155ujtTsdFz+BeL4Csy4nseXwB+deyCBrYntZT70UrKkIrLOLwC1+RvOekXXH59w6l9azR5jzbwLky8ixk4Vi8QhqRb8mzRLzCm9Bu3j9NiZTi9Js/EL9qr037tFXt3iG0e9V0Pi9+s5HTC3+5IbaI957C23w+9z2xgOzLSQA0GzeMBqN6oRUWcWTmlyRsOgxA48eiaPhgb1CKi19v4OxHq28qtjBzGSgw5rF3/KJyzmfJMnDIXAbqDulI60l3U6tZMOsHv0hq9PkS27nW8SNq8xscm/cjpz5caXNMM+e8zZbte/D18WbF1x/esF7TNF6b/yFbd+7FxcWZ2TMm0rpFUwB+WrmORV98C8ATo0dwx+D+ABw7cZqZs98mJzeXHl0ieX78kyh1813yt6Ic2Lrf8gT0DqWt+Tq79M1Gziy8sQyEvfe05Trb/0RxvdFqxgh0Tg4U5RXwxytLSN5+DL2rE+0/Go97g9poRRpxa/dzYva3N51nt/37IRr0CaPAmMvvExaTePTG79Z5yr20vLs7zl7uLGr5mGV5cKcW9HjpIfxb1WP12IWcXWkqo551/Bj80XMonULnoOfw52s5+vUGu+K6Xj4x51t55fN63bH3iQUYLyfh6ONB5MfP4hPWhEvLtnBk+ueWbVpNu4969/bA0dud35o8alc8tzKubstn4lLbm8KcPAB2jJhLXlL6TcdWVXWaztmRHiteROfkgHLQE/Prbk68+aPdccGtuX8G3dGZpuPvROl0JKw7wIlZS286z6ryfHZeMtV0X3fQk7zrBIef/+ym7uvVRfv7hFptpOfiJimlGiqljv7Vxw3qE4pnYwMru05k3+RPaD/3kTLTtZ/7KPsmfczKrhPxbGzA0CcUgLgtR1ndaypr+j5Pxtk4Wo0bBkBuSgZbH57Hmj7T2PPMh3R67yn7AtMp2sx9hD2jXmdzj0kE39kVj+Z1SiSpN6o3+WlZbOr8HOcXraTlC6MAyEvJYO9D89jaayqHnvmAsIVPW7Y5+M932dpnGlt6TsbJz5OgYZ3tiwsI7BuGR2MDa7tM4MCkjwl7veybZtjrj3Jg4ses7TIBj8YGAs151mLcMBK3HmVt1wkkbj1K83FDAUjYepT1faaxod909o9fRMRb/7QvMJ2izdxH2TtqLlt6TCT4zm435FndUb0pSMtkc+fxnF/0Gy3MeZZx4jLbB0xnW99p7B3xGm3nPYbS62zap62xhb72CDtHvcH62yZT986ueJbaT4NRvchPy+L3LhM4u2gVrWeOBMCzeR3qDu/Chp5T2DnqdULnPgI6hWfLujR8sDebB73Axj7TCOwfgXvDQLtDM/QJxaOxgVVdJ7J/8idEVFIGVnWdiIdVGbh28go7/jGfxF0nytwu7OUHid0QbXdcwwf358O3Z5W7fuvOvVy6EsPKZZ/w8pRneHXeQlM86Rl88NkSln40n6UfzeeDz5ZwLT0DgFfnLeTlqc+wctknXLoSw7Zd++yO67pbVQ5s3W+ZdIp2rz3C7lGvs/G2iuuNDV2e49yilbSaWVxv7Hl4Hpt7T+XQsx8QblVvnP3gVzb2mMTmftPwjWxBbfN3sFeD3qF4NzLwVY+JbJj6Cb3mjCkz3fl1B/hu6Es3LM+4mszvExZxasWOEsuzEtL4fvjLfBs1g++HvUT7p4fiHuhte2A6RYi5fG64bTJ1yiif9Uf1Ii8ti/Xm8tnGXD6LcvM58foPHPv3NzfsNm7tATYPesH2OP6iuAD2j32fTf2ms6nf9JtqWNyKOq0oN59td89iY9/n2dj3eWr3DsUnoulNxVbV909HHw9avfgAu++ZxZaek3Gu7Y1fjzZ2x3Urzue+xxewqe/zbOw5BWe/WtQZav99XdRs0rj4m6kT1Z4L328FIPnAGRxrueFSu+RNyaW2N46eriQfOAPAhe+3UjeqPQDxm4+gFRZZtncL9gUg7ehFcuLTANOPL72LEzon2zu2vCOakn0+DuPFBLT8QmJW7CQwqkOJNIFR7bny3RYA4n7ZjX/3tgCkH71AbnwqAJknrqCzOnZBphEA5aA3LbuJRwbBA9tz6TtTnqVWlGcerqSa8+zSd1sJNscfZLW99fLC7FzL9g5uLmh2xlY6z2JX7CgjzzqUyjPTzaHImGc5jzoXR0u+2LJPW/iENyXzfDzZl0z7ubJiJ4aB7UukMQzsYMmXmF93E2A+n4aB7bmyYidFeQVkX0ok83w8PuFN8WxWh9QDZyg0x5688zhBt0faHVtwVHsumstAyoEzOJVzPh08XUkxn8+L328l2FwGMk7HkHk2ttx9Z11KIP3kFbvj6hDWDq9anuWu37htF8Oi+qKUIrRtKzIyMklMSmH77v10iQzHq5YnXrU86RIZzvbd+0lMSiErK5vQtq1QSjEsqi8btu60Oy7Ld7tF5cCW/ZbHJ7wpWefjLNdZzIqdGAaWvF4NA4vrjVir68y63sg4UVxnFRrzSDb3umr5hVw7ch6XID87cqpY4wHtOf7jNgDiD57FuZY7bmV8t/iDZ8lOSLthecaVJJJPXL6hbijKL6QorwAAvZMjSmdfb5Qp34rL59UyymfQwA5ctiqf1+vbwuxcUvacpDA3/4b9ph44Q24Z36O646oKt6JOux43gM5Rj85Bf1P3qFtx/3RrUJus83HkJZseVCRtOULQ7Z3siutWnc/S93WNv1dXgFakasyfmkoaF1VAKdVYKXVQKdVJKbVaKbVfKbVVKdVSKeWplDqvlHI0p61l/dlergZfsmOSLZ+NsSm4BvmUTBPkQ3ZMiuVzdmwKrgbfG/bVaETPMp/Q1r29I6lHLlhufrZwMfhgtIorJyYZF0PJuFyCfMm5akqjFRaRn5GNo2/JH2OGIR1JP3K+xLE7fjuN/sc+pCAzh9hfdtscU/FxfTBa5YcxNgWXoNKx+WCMLTuNc4AXOeYbbk5CGs4BXpZ0wYM60H/rPLp+PZkDzy22Ly6DLznW5zImBedS5+nGPDNa8swroik9Nr9Jj01vcnTyJ2iFRTbt0xauQaXOZ2wKrkG+5abRCosoyMjGydcT1yDfUtsm4xrkQ/qJy/h1aomjjwd6VycC+4bhFmz/j77SZSC7nDJQ+pyXVQas6d2caTl2KMfeWm53TLaIT0zGUNvf8jmwtj/xiUnEJyZhqB1QvDygeHmgdfoAf+ITk7lZt6oc2LLfimMqea3cGJNviess33ydWQsa0pFrpeoNAIdabgQOiCBp6811MrsbfMi0ii8zNgUPg23frTIeQb6MXDuHMXveZf8Hv5IVb/uP+tL5Zsrz0nVH2eXzVrqVcYXPf4Jev8+h+XN33lRst6JOA0Cn6P37HAYd/ZCELUdIPXjW7thuxf0z63w87k2CcK3nj9LrCBzUAZc69t0LbuX57LJ0GlFHP6Qg00jMTdzXRc0mjYs/SSnVAvgRGAPMAcZpmtYemAT8R9O0DGATcLt5kxHAck3T8kvt53Gl1D6l1L7fs8/c8rhbPXsHWmEhF3/cXmJ5reZ1CJ05gn1TPrnlMZTm0aIuLV8YxZFJH5dYvmfEXH4PeRqdk4PlqUi1snrIErNqH+t6TGLnI2/Teuq9f2kY1w6cYWvPyWwfOJ0mz96Bzvmm2qt/mczTMZxe+Avdvn2eLkumcu3YRUvvS03QZtLdnFq8qkSPlKhADXnY6NGiLq1mjuLw5JL1htLraP/hOM5/vIbsSwnVFF35MmNTWDpgOl/1mEire3rg6l+rukOqsfY//T4be09j2x2v4NepBfXu7VHdIRUr0tjYbzprwv+FT3gTPFvWrZYwSt8/C65lcXTqp4QvfpYuP7+E8XJSjapvd46cy5rQp9E5OdDuLS4AACAASURBVBLQ3c7hWqLGkwndf04A8BNwF3AJ6Ap8bzXh0tn898fAFGAF8Ahww+B8TdMWA4sBlgU9UOK23XRMfxo/0BuAlOhzJZ72ugb5YoxNLbEvY2yqZbgTgFuQL8a44ieLDe+7jeB+4Wy6b06J7VyDfOn+6XPsfuZDsi7adzPOiUvF1Soul2A/cuJKxpUTm4JLHT9yYlNQeh2Onm7kp5i6bF2CfGn/2QSi//Ufsss4dlFuPvGr9xMY1Z6kLUcqjafxI/1paM6z1EPncLXKD9cgX3JiS8eWWuIplnWa3MRruNT2JichDZfa3uQmXbvheMm7TuDeoDZOvp7kmb9TZXLiUnCxPpfBvuRanSdTXKXzzNWSZ9dlnY6hICsHz5b1bNqnLYyxpc5nkG+JJ9rWaa7H5uDpRl5KhqmXoMS2fpZr9OLSTVxcugmAVs/fT06sbU/im5RRBq5v6VZOGSh9zo2V5INvRBPqDulIyAsjcazlBkUahbn5nP1snU0xViYwwI+4hCTL5/iEJAID/AkM8GfvwcPFyxOTiAwPMfVUWKdPTCIwwL6enr+iHOSUkdel91uenBuuM78yYkopcZ05mq8zU3pfIj+dwMFxN9YbIfP+Sea5OM5/tMqmWK5rN7ofbUaa8iwh+hweVvF5BPmSGWfbd7NVVnwaySevENyxhWXCd2VK55spz0vXHWWXz1vpVsV1/V5SkJXDlf/uwDu8CZfNQyNtdavqtOvy07NJ2v4Hgb1DyThh37DKW3X/TFh7gIS1BwCo91AfuxsXt/o6K8rNJ27NfgxRHUjc8pdPYb1pNXk4Uk0hPRd/zjVMjYrumPIyTdO0MKs/rQA0TdsONFRK9QL0mqbZVYrOfL6Otf2ns7b/dK6u2kdD81Mbv4im5GcYLUMVrstJSCM/w4ifeWJZw3t7cHX1fgAMvUNoOXYI28a8RaExz7KNYy03bvtqEtFzviVp7yn7M+LgWdwbG3CtH4By1BM8vAvxa/aXSBO/Zj9177vNFMfQTiSZ32jhUMuNyG+mcHLWUlKtjq13c8bZPL5Z6XXU7h9O5pkYm+I599k6NvSbzoZ+04ldvY/695nyzKeiPMs0Wibj1b+vBzHm+GPXHrBsX/++HsSal1tPRvZu1xCdk4NdN+/SeRY0vOsNeZZQKs+uvwXEtX6AaQI34FLXH4+mwWRfTrRpn7ZIO3QWj8YG3Mz7qTu8C3FrS+4nbu1+S74ED+lE0vZjluV1h3cxjfutH4BHYwOpB029cU7mp7OudfwIHhzJleUlJ7qW5+zn61jXfzrrzGWggbkM+FZwPgsyjPiaz2eDe3sQs7rifNg0/FVWdhzPyo7jOf3Rao4v+KnKGhYAvbp35ufV69E0jeijx/HwcCfA35dundqzY88BrqVncC09gx17DtCtU3sC/H1xd3cj+uhxNE3j59Xr6d3dvomPf0U5iLW6Dsrbb3nSDt1Yb5S+zuLXFpeBIKvrzKGWGx2/nsLx2SXrDYAWU+/D0dOVY+Y3hNnjyBe/823UDL6NmsG5NftpdXd3AALDm5CXkV3m3Ap7uRt80buYehqdvdwIimxO2rmy5wGV5Xq+XS+fdcopn/XKKJ+30q2IS+l1lmE2ykGPoX84GScu31RsVV2nOfl5mh5EYJr7FnBbOzJsvEdZuxX3Tyiubx283Gkwpj+Xv7HvjWS34nyWvq8H9guz+b4u/j6UvZNQhYlSqiHwK9AJWAP8B/gX8I6mad8rU/dFiKZp0eb0E4GJwKuapn1Q0b5L91yUFjFnDEG9Qygw5rHnuUWWV2kOWDeHtf2nA+AT2ohO802vk4zdEM2BGV8AMHjHW+idHMlNzQRMk7r3T/2U1uOH02rcUDLOxVuOs3nEXHKTi9/K4VFU8VOPgL5htDa/5u/K0k2cmb+C5lPuIS36PAlr9qNzdiRs4dPUateQ/LRMDjzxHsaLCTR97k6aPDOMrHNxln3tuf81UIrIryajczZNeEze/gd/vPBlmU9fcit5PWfoa2MI7B1KoTGX/eMXkWbOsz6/z2FDP1OeeYc2ov27T6J3cSJ+QzTR5lfnOfl40HHxM7jV8Sf7ShK7H3+X/LQsmv9rKPXv7UFRfgGFOfkcfWVJma+iddHKzzdTno0GvY4rSzdydv4Kmk25l2vR5yx5FrpwrCXPDj6xAOPFBILv6UGTccPQCgrRijTOvP0j8av2lbvPsuSpip8tBPYNo90rD5le27h0E6fe/YmWU+4h7dA54tYeQOfsSPuFT+PVtgH5aVnsfeI9y/CT5s/eQYORvSgqKOTIi1+RYJ7b033Fizj5eqDlF3Lkpa8tN8jS8is5n+FzxmDoHUKhMY+9VmWg/7o5rLMqA5HmMhC3IZqD5jIQPKgD4bNG4+znSX56NmnHLrJ15Osl9t964l0UZOWU+Sra4UdeLTOmyS/NZe/Bw6SlpePn683T/3iIggLTHID777wdTdOY/fZ/2LZrH64uLrw6/TnatmoOwPJf1/DRl8sAeHz0CO68fQAAR4+fKn4VbedIpk94qtxX0f7SdmaFeQa3phxUtN/rHCsYQ1W7bxhtXjG/gnPpJk6/u4IWU+4h7dB54teaykD4wqfxatuQPHO9kX0pgWbj76RpqXpj14jX0Dk60P/g+2ScukpRnmn06YVP13JpycYyj3/BUV9hnvWcNZoGvULIN+axfuJiEg6bvtuI1bP5NmoGAF2nj6DF8K64B3qTFZ/GsaWb2PPOcmqHNub2j8bj7OVGQW4+2QnXWNJvGvV6tKX7C6NMk3+V4vDn6zhWKr76+RXXt7WtyuelcspnhFX53GdVPvvvfRcHD1d0Tg7kX8ti54i5ZJy6SusXRlL3zq64GHzIiUvl4pJNnJxn36tVqzqu7CtJdP/viyhHPUqvI3HLUY6+9FW5ry6t6OZZ1XVarVb1iFjwFEqvQ+kUV3/excm3/1vu8R0r+L1V1ffPvKR0wj4cR63W9QE4/fZyYleU/UKIggrq26o+n3kpGXT6ejI684sMkrb/wdEXvyq3V+WOuCU1rpvgQlj/GvPDueGhdTUuf0AaFzfteuNC07S2SilvYB3wNTAICAIcgW81TXvFnN4AnAeCNE2r8NFXZY2L6lJZ46I6Vda4qE4VNS6qU2WNi+pUWeOiOpXXuKhutjQuqktFjYvqVlnjorpU1rgQZau5V1rFjYvqVFHjorrVxMbF+dCa07hoFF0zGxcy5+ImaZp2AWhr/ncacP2dmu+Ws0l34IfKGhZCCCGEEEL8XUnj4i+glHoPU4/G4OqORQghhBBCiFtFGhd/AU3TxlV3DEIIIYQQ4s+Rt0VVruYOuhZCCCGEEEL8rUjPhRBCCCGEEDbQNOm5qIz0XAghhBBCCCGqhDQuhBBCCCGEEFVChkUJIYQQQghhgxr6X1fVKNJzIYQQQgghhKgS0rgQQgghhBDif5BSKkopdVIpdUYpNa2M9ROUUn8opQ4rpdYrpRr82WPKsCghhBBCCCFsUPQ3eluUUkoPvA/0B64Ae5VSP2ua9odVsoNAB03TspVSTwFvAPf/meNKz4UQQgghhBD/ezoCZzRNO6dpWh7wLXCHdQJN0zZqmpZt/rgLqPtnDyqNCyGEEEIIIf5mlFKPK6X2Wf15vFSSOsBlq89XzMvK8w9g1Z+NS4ZFCSGEEEIIYYOa9J/oaZq2GFhcFftSSj0IdAB6/tl9SeNCCCGEEEKI/z1XgXpWn+ual5WglOoHzAB6apqW+2cPKo0LIYQQQgghbKAV1ZyeCxvsBZoppRphalSMAEZZJ1BKhQOLgChN0xKq4qAy50IIIYQQQoj/MZqmFQD/AtYAx4HvNE07ppR6RSk1zJzsTcAD+F4pdUgp9fOfPa70XAghhBBCCPE/SNO0lcDKUstetPp3v6o+pjQuhBBCCCGEsIGmVXcENZ80LoTNzjvpqzuEcjXOK6juEMpV2zGnukMoU1K+S3WHUK50fc2tmn5pO7O6QyjT0KOzqjuEcm1q83x1h1Cuevk1c/x0gkPNHbUcqU+v7hDKdSHXo7pDKFeuqpnXWrq+5l5r4u9JrighhBBCCCFElai5jweFEEIIIYSoQf5mb4uqFtJzIYQQQgghhKgS0rgQQgghhBBCVAkZFiWEEEIIIYQNijQZFlUZ6bkQQgghhBBCVAlpXAghhBBCCCGqhAyLEkIIIYQQwgaaDIuqlPRcCCGEEEIIIaqE9FwIIYQQQghhA02r7ghqPum5EEIIIYQQQlQJaVwIIYQQQgghqoQMixJCCCGEEMIG8v9cVE56LoQQQgghhBBVQhoXQgghhBBCiCohw6KEEEIIIYSwgfw/F5WTngshhBBCCCFElZDGhRBCCCGEEKJKyLAoIYQQQgghbCD/iV7lpHHxNxT+6sME9Q2l0JjHnvGLSD1y4YY0PiEN6Tj/SfQujsSuj+bgC18CEPrCSIIHRFCUV0DmxXj2jF9Mfnq2ZTu3On5EbX6DY/N+5OSHK+2Orce/H6JBnzAKjLmsn7CYxKM3xtZ5yr20uLs7zl7uLG75mGW5zsmB/vOfJKBdI3JSM1jz9EIyriQB4NeyHr3nPoqjhytoGt8NeZHC3HybYvLvHUrrWaNReh2Xv9nAufd+LrFe5+RAyMKxeIU0Ij81k4OPv4vxciJe4U1oN++fpkRKcfrNH4hftddqQ0W3tXPIjUtl34Nv2JdRZrV6hVP/34+BXkfS0nXEvb+8xHqPTq2p9/I/cGvVkHNj55H6204AXFs3osFrT6D3cEMrKiJ2wfek/rLdsl2dKQ/gM6QrWmERiV+tJuHT3+yOzb93KK1mjQa9jivfbOB8qXxT5nyrZc63aKt8a2OVb2fe/IEEc741+Ocg6j7YB4Ar32zg4uJVdscFEPnKQ9TpE0ahMZftzy0mpYzrzLddQ7q98wR6FyeubjjE3he/KrG+9ROD6PDiAyxr+yS5qZm0efJ2Gt3V1RS2XodXszp8F/IUeWlZdsUWMuthDH3DKDTmsf/ZD0kro3x6hzSi/bum2OLWH+LwTFP5dPR2p+OiZ3CvF0DW5UT2PL6A/GtZNu+3PDPnvM2W7Xvw9fFmxdcf3rBe0zRem/8hW3fuxcXFmdkzJtK6RVMAflq5jkVffAvAE6NHcMfg/gAcO3GambPfJic3lx5dInl+/JMoZf9YZL/eobSYNQal13H1mw1ceO+nEuuVkwNtF46lVkhj8lMzOPz4u+RcTsSlXgBdt75N9tkYAK7tP83xKR8DEL70eZwDfVB6HWm7T3B82idQZP8vgtq9Q2j36sMovY6L32zk9MJfSqzXOTkQ8d5TeIc0Ii81k31PLCD7sqnOajZuGA1G9UIrLOLIzC9J2HQYgAF73yU/0wiFRRQVFrF54Ey747quyysPUc9c325+bjHJZZQD/3YN6WkuB5c3HGKnuRz0+c+/8G4SBIBTLTfy0rNZPnAGHnX9uXfTG1w7GwtAwoEzbHv+M5tj8uwZQZ2XHkPp9SR/u5aED34ssd69YxvqvPQYri0bcmHcm1xbuaPEep2HKy1/f59ra3dz9cVFAHgPu43AsfeABvnxKVwc/xaFqRk2x3TdrTifTR4fRIMHeoOmkX78MgfGL6LIxntTaTWx7gDo+MpD1DVfZ9vKqW/92jWku/k6u7LhEHvM11nYhLtoNqoXuSmm87V/7ndc3RANgE+renR53XxfL9L49Xbb7+uiZvufHRallMo0/x2slPqhuuOpKkF9QvFsbGBl14nsm/wJ7ec+Uma69nMfZd+kj1nZdSKejQ0Y+oQCELflKKt7TWVN3+fJOBtHq3HDSmwX9vKDxJkLvr0a9A7Fu5GBr3tMZOPUT+g5Z0yZ6c6vO8D3Q1+6YXnrEb3ITcvi6x4Tif54NV2njwBMP/T6L3iKjc9/xtJ+0/jvvbMpyi+wLSidos3cR9k7ai5bekwk+M5ueDSvUyJJ3VG9KUjLZHPn8Zxf9BstXhgFQMaJy2wfMJ1tfaexd8RrtJ33GEpfXGQa/XMQWadjbIujzNh01J/1BKceeoVjvcfhe0cPXJrVLZEk72oSFyYsIHnFlhLLi4y5nB//Lsf6PsPpB/9NvZf/gb6WOwB+9/XBMdifoz3/xbHe40j5adtNxKZoPfdR9o2ay7YeEwm6sxvuZeRbflomWzuP58Ki32hulW87B0xnR99p7B/xGm3M+ebRsi51H+zDzqgZ7OgzlYD+Ebg1DLQ7tDp9QqnVyMCK7hPZOfUTOr02psx0nV97hJ1TPmZF94nUamQguHeIZZ1bsC/Bt7Uj09x4BTj24W/8OmAGvw6YwcG53xG/67jdDYvAvmF4NDawtssEDkz6mLDXHy0zXdjrj3Jg4ses7TIBj8YGAs3ls8W4YSRuPcrarhNI3HqU5uOG2rXf8gwf3J8P355V7vqtO/dy6UoMK5d9wstTnuHVeQsBuJaewQefLWHpR/NZ+tF8PvhsCdfSTT8SXp23kJenPsPKZZ9w6UoM23btsysmAHSKlnMf5eCo19jRYwKGMq6zOqP6UJCWxfbOz3Jx0Uqama8zAOPFeHb1ncquvlMtDQuAw/+cz64+U9jZcxKOfrUIHNblpmILfe0Rdo56g/W3TabunV3xLBVbg1G9yE/L4vcuEzi7aBWtZ44EwLN5HeoO78KGnlPYOep1Quc+Arrihtf2u2ezsd/0P9WwqNcnFK9GBr7rPpFtUz+heznloNtrj7B1ysd8130iXo0M1DWXgw1PL2T5wBksHziD8yv3ct7qwUn6hXjLOnsaFuh01H31Cc6N/jcn+o3FZ9htODerVyJJfkwilya+S+pPm8vcRdDEB8jac6x4gV5HnZce48yIGZyMegbjiQsEjB5ie0yW2Kr+fLoYfGj82EA2DZzBhl5TUXoddYffxLVGza07rte3y831bZcK6tsdUz5mubm+rWNV3/7x0Wp+HjCDnwfMsDQslF5HjwVPsXPaZ/zUZxqr7bmvV7MiTdWYPzXV/2zj4jpN02I0TbunuuOoKnWi2nPh+60AJB84g2MtN1xqe5dI41LbG0dPV5IPnAHgwvdbqRvVHoD4zUfQCoss27sF+5bYd9alBK6dvHJTsTUa0J4TP5p+yMYfPItzLXfcSsV2fV12QtoNyxsPiODED6bvdua3PdTt1gaA+re1I/n4ZZKPXwIgJy0TzcankN4RTck+H4fxYgJafiGxK3YQGNWhRJrAqA5c+c704z3ul934dzcdt8iYZ8krnYtjib5QlyBfAvpHcPmbDTbFURb3sGbkXogl71I8Wn4BKT9tw3tApxJp8q4kYDx+8YanrrnnY8g9b3qymB+fSkHyNRz8agFQ++EoYucvs8RbkHzN7thK51tcOfkWY863+F9241dJvrk3q8O1A2cs61N3HCfw9o52x1ZvYHvO/mC6zpIOnMXJyx3XUteZq7kMJB04C8DZH7ZR3yr+yJcfZP/sb8vt3250RxcurNhpd2zBA9tz6TvTNZxaUfn0cCXVXD4vfbeVYHNsQVbbWy+3Zb8V6RDWDq9anuWu37htF8Oi+qKUIrRtKzIyMklMSmH77v10iQzHq5YnXrU86RIZzvbd+0lMSiErK5vQtq1QSjEsqi8bttqfX14RTck+H1/iOguIiiyRJiCqAzHfmX6IJvyyC9/ubSvdb2GmEQDloEfn5HBT4xh8wpuSeT6e7Eum2K6s2IlhYPsSaQwDO1jOS8yvuwkwx2YY2J4rK3ZSlFdA9qVEMs/H4xPe1O4YKtJgQHtOm8tBwoGzONUquxw4ebiSYC4Hp3/YRsOBHW7YV+OhnTj7k/3nrzS363XaZVOdlvrLVrz631in5Zy4UGZPkmvbJjj4e5Ox5WDxQqVQSqFzcwFA7+FKfnyK3bHdqvOp9Hr0Lk4ovQ69qxPGuFS7Y4OaW3fUt6pvEyuob508XUksp74t8/v2bEfq8cuk/mG6r+em2n5fFzXf/3zjQinVUCl11PzvXUqpNlbrNimlOiil3JVSnyql9iilDiql7jCvH6OUWq6UWq2UOq2UesNq2wFKqZ1KqQNKqe+VUh7m5XOVUn8opQ4rpeaZl92rlDqqlIpWSpV8BG0nV4Mv2THJls/G2BRcg3xKpgnyITumuPLNjk3B1eBLaY1G9CTW/BTBwc2ZlmOHcuyt5Teks5WHwYdMq9gyY1PwMPhUsEVJ7gYfMsxxa4VF5GVk4+LjgXdjA5qmMezrKdy3chbhT95u8z5dDL7kWOdXTArOpfLCJciXnKvJluPmZxhx9DX9EPOKaEqPzW/SY9ObHJ38ieVHc6tXR3PilW/+VGXoFORLXmzxk/O8uGScgm48T5VxD2uGcnQg90IcAM4NDPgO7U6r3+bR7KsXcG4UZPc+nQ2+GK3yLaeMfHMO8sVolW8FpfKt2+Y36bbpTY6Z8y3zxGV8OrXE0ccDnasTAf3CcKnjZ3dsbgafEmUgOzYFt1LXmZvBh+zYlDLT1BsQQXZsquWmVprexYngXiFcXLm3zPUVcQnywWhV9oyxKbiUKp8uQT4YY8tO4xzgRY654Z2TkIZzgJfN+/0z4hOTMdT2t3wOrO1PfGIS8YlJGGoHFC8PKF4eaJ0+wJ/4xGTs5WzwJdfqXObGJONsKJ1fJctnQUa25TpzrR9Ap9/n0uG/L+HdqWWJ7cK/nU7PY4spyDQS/8suu2NzDfIpWQZiU3AtVT6t01yPzcnXE9egUuUnNtlST2uaRtdvp9FrzWwamIcI3gz3UvVtVmwK7qXyzt3gQ5bVtVZWGkOnFhgTr5F+Pt6yzLN+AHeunsWQH2Zg6NjC5pgcDX7kW9Vp+bFJOBpsLONKUWfmo8TMLtVTUlDI5Zkf0HLNe7TZ+zkuzeqTvGydzTFddyvOZ05cKmc++I2B+98j6vB/yE83krj5iN2xQc2tO9wMPmSVus7Kqm9LX2fWaVo90p9h6+bQ7a1/4uTlBoBXYwOg0f+bKQxdPYu2T9l+Xxc13/9846KUZcB9AEqpICBI07R9wAxgg6ZpHYHewJtKKXfzNmHA/UA74H6lVD2llD8wE+inaVoEsA+YoJTyA+4E2miaFgJcH4fwIjBQ07RQoOQ4JDOl1ONKqX1KqX2/Z5+p+m9eSqtn70ArLOTij6Zx+m0m3c2pxasoyM695ce2l85BT3Bkc9aO+w/L73qFJlEdLL0at9q1A2fY2nMy2wdOp8mzd6BzdqR2/wjykq6Rfvj8XxJDRRxr+9Do3fFcmPie5emscnKkKDef47dPInHJOhrOG/eXx3XtwBm295zMzoHTaWzOt6zTMZxb+DMdlk2nw9LnST960dJY+6voXZxoO24Yh+aVP1Ky3oBwEvadsntI1C0hD/LKlRufytaIsezuN42TL31Juw/Gofdwtaw/OGIOW0KeROfkaFNvx19l67B/s2nADHY88DqNH+mPX+eWlW90CzW5o0uJXovshDSWdhzPf6Nmsuvf39B74dOmMfG3mP/Dg0nfuJ/8uFKNVAc9/g8O4uTg8RyLHIPxxAXT/IsawNHLnaCo9qzt+CyrQ8fi4OZM3bu7VXdYJjWk7jjx5e/82HUCPw+YQXZCGpEvPgCYenxqRzZny7/+w8rhr1B/UAeCuv819/U/S9NUjflTU/1/m9D9HbAWeAlTI+P6L4wBwDCl1CTzZxegvvnf6zVNuwaglPoDaAB4A62B7eYJjE7ATuAakAN8opT6FfjVvI/twOdKqe+AMrsGNE1bDCwGWBb0QIlqoemY/jR+oDcAKdHncAsufhLkGuSLMbZkN6wxNrXEcCe3IF+MccVPFRredxvB/cLZdN8cyzK/iCbUG9KR0BdG4ljLDa1IozA3nzOfVfyEqN3ofrQeaYotIfocHlaxeQT5kmlHF3FWXCqewb5kxaWg9DqcPN3ISc0kMzaFmN0nyUnNBODCxmgC2jbkyvZjlewRcuJScLHOr2BfcuNKdqnnxKbgUsePnFjTcR09XclPKTlZMOt0DAVZOXi2rIdPx+bUHtiegL7h6F0ccfBwJfT9sUSPfd/m7wqQF5uCU1Dx018ngx95sbZ39+s8XGn6xUyuvvE1WQdOWe03mdRVph8Laat20fAt+xsXuXEpuFrlm0sZ+ZYbm4JrHT9yzfnmUE6+FWbl4NGyHunR57i6ZCNXl2wEoNn0ESV6lSrSYnQ/mpnLQPKhkmXALciX7FLXWXZcKm5Bvjek8WxYG4/6AQxdN8eyfMiaWfx2+0vkJJqGjzUcZt+QqMaP9KehObbUQ+dwtSp7rkG+5JQqnzmxqSWemFqnyU28hkttb3IS0nCp7U1u0rXibSrZ758RGOBHXELxE+f4hCQCA/wJDPBn78HDxcsTk4gMDzH1VFinT0wiMMD+XqjcuBScrc6lc7AfuXGl88tUPouvMzfLdZafZ6oTMg6fJ/tCPO5NgkiPPmfZtig3n8TV+wiI6kDKFvueKBtjU0uWgSDfEk+NrdPkWMWWl5Jh6lEusa2fpZ7OMX+/vKR0Ylftwye8Ccm7TtgUU+vR/Wg5ynStJZrr2+v9De5BvmSVyrusuFTcra610mmUXkfDQZGsGPyCZVlRXgG55nxNOnKB9IsJeDU2kGTDw5T8uGQcreo0xyD/GxsL5XCLaIFHZBv8HxqEzt0V5ehAUZaRtFWmCd95l0w9s2m/biPw6btt2qe1W3E+A25rS/alBPKSTddjzMq9+EY258qP27FFTa07Wo7uR3NzXEmHzuFu9d3dy6lvS19n19PkJKVblp/+ZiN9v5ho2iY2hfjdJ8k139evbIjGt21DYrdVfl8XNd//q54LTdOuAslKqRBMvRHLzKsUcLemaWHmP/U1TTtuXmf9KL8QU4NMAeus0rfWNO0fmqYVAB0xNVqGAKvNx30SU09HPWC/uYfDZmc+X8fa/tNZ2386V1fto+G9PQDwi2hKfobR0hV6XU5CGvkZRvwiTGNCG97bg6ur9wNg6B1Cy7FD2DbmLQqNeZZtNgx/lV87jufXloZFNgAAIABJREFUjuM59dFqji/4qdKGBcCRL35nWdQMlkXN4Nya/bS8uzsAgeFNyMvILnNuRXnOrztAy3tM363p7R25sv0PAC5tPoxvy3o4mMe11unU8v/Yu+/wKKr24ePf2U3ZdNILoSWUoNSETpBeREBEQMWGogIKKiAoRbGBXVB5fnYEe3sQFZEaUHpJpPeekN7bpuzuvH/skuymwC5PkOh7f64rF+zMmdk7Z+ac3TOnhOyTF+06Z95fp/GICMGtcSCKs5bQkT1IWxtvkyZ9bTzhY28CIGR4V7IslZtb48CKCdy68AA8m4dRnJjB8QXfsqnjY2zuPJW/Jr5L1rbDDjcsAIr2n0TXLBSXRkEozk743RpL7vrddh2rODvR/JPZZP24uWIFqUty1+7Cq0dbALy6t6H0jOOTzvP+Oo27Vb6FjOxBeg35FmbJt+DL5JtH8zD0iRkAuASY54XoGvoTPLQzKSvs+xA+vnxDxWTrC2vjiRxtvs8CoiMpzy9GX+U+01vKQEB0JACRo2NJXBtP7rEkfmj/GCu6TWNFt2kUp2SzavC8ioaFs5cbwd2iSFybYHdenflsPXED5hA3YA4pa/bSeKz5Hva9XPks1ONrKZ+Nx/Yi2ZK3KesSKo5vPLYXKRXb46943v9Fn9hu/LJmI6qqsv/QUTw9PQgM8KNn1xi2704gL7+AvPwCtu9OoGfXGAID/PDwcGf/oaOoqsovazbSN7abw++bb7nPdFb3WcZa24nhGWv3Eja2NwBBw7uRbbnPnP29KiZJuzUJwj0ilOLzaWjdXXGxjAlXtBoCBnak+JTjZSB332k8I0Jwt8QWPrI7qetsy0Cq1XUJG9aVTMsDj9R18YSP7I7GxQn3xoF4RoSQ89cptO6uOHlY5g64uxLYuy35xxLtjunI8g0VE63PrYmnhaUcBEWb69uaykFZoZ4gSzloMTqW81a/Q8Nebcg7nWwzpEXn54ViyVevxoH4NAum4EK6XfEV7z+Ja7MwXBoFozg74Tu8F/nrd9l17IUn3uZIjwkciX2Y5AVLyV6xiZTXPqc8NRtdi0Zo/cx1h1evDpSccnxe4LW4nvqkTHxjWqB1cwEgsNeNFNr52QT1t+44tnxDxQRs6/o2MDqSslrq27ICPYFW9e0Fy/tbz89ofHMnci1zOi/+cQDfqEYV81VCukWR50Deifrt/7eeCzA3KGYBPqqqXnoktxaYqijKVFVVVUVROqqq+lftp2An8B9FUZqrqnrKMoSqIZAMuKuqulpRlG3AGQBFUSJVVd0F7FIU5WbMjQzHBygDKRv3Edq/A7fseBuDvozd0z6s2Ddo/ULWDZwDQPzsz+i62LwsXErc/oq5FdEL7kfr4kzvb2cD5knd8U8vvZpQqjkft48m/dpz79a3MOjL2Djjo4p9d6xZwHdD5gLQY86dtBzZA2c3F8bvfpcj32xm96IVHPn2DwYunsQ9W96iNLeQtY+ZV6wpzStm38e/M2bVi4DK+bj9nI/bZ1dMqtHE4dmf0eXbOeYlVb/ZROHxJFrMGkPe/jOkr40n8etNtF/yGL13LqY8t5C/Jr4LgG+XKCKnjkA1GFFNKoefWVrtyfz/xGjiwrMf0/Kr+aDRkvXdBkpOJBL21F0U7T9F3vo9uLdvTvNPnkHr40mDgZ0Im34Xh/s/ju/wnnh2vQEnXy8CxprHbZ+d9i76I2dJ/c8Kmr03jeCHR2Aq0nNupuMNH9Vo4sjsz+j07RwUq3xrbsm3jLXxJH29iXZLHqOXJd/2W+VbM6t8O2KVbx0+nY6Lrycmg5Ejsz/DYLUMsr0ubtxHw37tuW2b+T7bPr3yPhu2bgGrBpnvs11zltFj0SM46Vy4uGl/xSoll9P45k4k/3kQg/7qhgembthHcP8ODNq5CKO+lPgnK8tnvw0LiRtgLp/7nllKzDuT0OpcSIvbT9pG8/184r1f6PLR4zQd15fipEx2PfLOFc9rj5nzX2XPXwfIzc2n/8h7eHTCvRgM5pVZ7rjtFm7q3pktO/Zw89gHcdPpeGnONAB8vL2YOP4u7nzoCQAmPTCuYmL4vBmPVS5F260zvbp3rvnNL0M1mjg+eynRlvss+ZvNFB1PInLWGPIt91ny15tos2QKPXe+Q3luIQcnmvPEt1trImeNrbjPjs76GENuES6BPnT4fBYaVycUjYbsbYdJWu74GH3VaOLAnGX0+OYZ89Kl32ym4PhFomaNJnffGVLXJXD+683ELHmUATvepjy3iD0T3wOg4PhFLv6yk/5/voHJYGT/7M/ApOIa4EPXz8x5qzhpSVqxjfRNBy4TRe0S4/bRqF977tj6FoaSMv6wKgej1i5gxWBzOdg2Zxm93zaXg8TN+0m0KgeRI7pxukovXUi3KDrNuB2TJV+3PvMZpfYOETSaSHruQyI+fx5FqyH7+w2UnEwkZPo4ig+cIn/DbtzaNafZR3PQ+njiPaAzIdPGcXzglFpPaUjPJnXxt7T44RXUciNlF9O5MOMdB3LK7Fpcz5y/TpO8ahd91i1ENRrJO3iOc19c3SIf9bXuSLLUt6O2mR9IbrW6z0asW8Avlvp255xlxC56xLz0t1V922nenfjd0ARVVSlMymSH5ftGWV4xhz/6nWGrXwRVJSluP0kb7ftcv97q8ypN9YWi/kv/GoiiKIWqqnoqitIUWKWqahvL9mDgIvCSqqovWLa5AYuBHph7c86qqjpMUZTxQCdVVadY0q0C3lRVdbOiKP2A1wBXy1vOA/YAP2MeVqVY0i5XFGUF0MKybSPwpHqZjK86LKq+yHCqvwUqoqz+LmEX5FxyvUOoUWa57nqHUKt0p/r73MPzb54nYq/hh2pfavZ623zj7OsdQq2KFO31DqFGGU71d2BBZ23+lRNdJ+dKPa93CLWqnzUH5Gvr7702/uKX9e6Lx66wUfXmO1rX5BX1Ln/gX9xzoaqqp+Xfc0Abq+1pVPm9VVXVAxNrOMcyYJnV62FW/48DanpUV21tTVVVRzkYvhBCCCGEEP84/9rGhRBCCCGEEHWp3nRb1GP1ty9MCCGEEEII8Y8iPRdCCCGEEELYQSZ0X5n0XAghhBBCCCHqhDQuhBBCCCGEEHVChkUJIYQQQghhB1WGRV2R9FwIIYQQQggh6oQ0LoQQQgghhBB1QoZFCSGEEEIIYYf6+pfW6xPpuRBCCCGEEELUCWlcCCGEEEIIIeqEDIsSQgghhBDCDiqyWtSVSM+FEEIIIYQQok5Iz4UQQgghhBB2MKnXO4L6T3ouhBBCCCGEEHVCGhdCCCGEEEKIOiHDooQQQgghhLCDSSZ0X5E0Luqh+cYT1zuEGm1u4XG9Q6jVlpMNr3cItbpx+dDrHUKNTk749XqHUKt3jIbrHUKtHjU2uN4h1GjzjbOvdwi16nP4lesdQq1Wtn32eodQoztH5V7vEGq1/Kf6WQYAhvhlXO8QauUVXHK9Q6iRRye/6x2C+JeRYVFCCCGEEEKIOiE9F0IIIYQQQthB/s7FlUnPhRBCCCGEEKJOSONCCCGEEEIIUSdkWJQQQgghhBB2MF3vAP4BpOdCCCGEEEIIUSek50IIIYQQQgg7yITuK5OeCyGEEEIIIUSdkMaFEEIIIYQQok7IsCghhBBCCCHsIBO6r0x6LoQQQgghhBB1QhoXQgghhBBCiDohw6KEEEIIIYSwgwyLujLpuRBCCCGEEELUCWlcCCGEEEIIIeqEDIsSQgghhBDCDvJH9K5Mei6EEEIIIYQQdUJ6LoQQQgghhLCDSTourkh6LoQQQgghhBB1Qnou/oHmLpjBTQN6UqIvYfbUFzhy8Hi1NJ//9AGBwQGUlJQCMGHsFLIzcwAYMmIAU2Y+jKrC8cMneGrys3TtGcMzL02vOD6ieROmT5zLxt//sCsmly5d8H58Cmi06H/7jaKvvrbZ7z52DO7DbkE1GjHl5pL36uuY0tIA8Jz0CK7dugNQ9PnnlMRtsjnW6/GpuA0dSvqQm+3Moeo6vHQfof3bY9CXsefJD8k9eK5amgbtmtJl8SS0OmdSNu5n37OfAxA+rAs3PHU73i3C2Dj0OXL2nzX/TuEBDPnzDQpOpwCQlXCKhKeXOhTXtsNnef2HTZhUldt6tOHBwV1t9r/x4yb2nEgEoKTMQHZBMVvfmgLAohV/sOXwWVSTSrfWTZg1pi+KovDokv+SmVeEwWQiOrIhs+/sj1bj+HMEz97RNHzuYdBqyP5uPRnv/2iz36PLjYQ99zC6qKZcmPo6eb9vr9jX9vRKSo6fB6D8YgbnHn4ZgPDXpuLWrgUApWeTSXpqMabiEodjm/TCJDr360ypvpS3pr/F6UOna007f+l8QhqHMHnAZABib4nlnmn30KhFI54c/iQnD5wEoO/Ivtw+6faK45q1bsbUm6dy5sgZu+MK7NueNi/dh6LVcOGrTZxa8ovNfo2LEx3ee5QG7ZpRllNI/MR30CdmEnBTW1rPvRONixOmMgNHXvyarG2H0bq5EPPxk3g0CUI1qaSui+fYgm8dyaoK/n3b0+rl8ShaDRe/iuPcez/b7FdcnGiz5DG820VQnlPAgUfeoSQxA12jQHpseZvi08kA5MWf5OisTwDo+M1sXIN9UbQacncd4+gzn4JJdSiueQvf5s9tu/HzbcDKLz+otl9VVV5Z/AFbduxBp3NlwdwZ3NCqOQA/r17Ph8vN+THx/ju5dehAAA4fO8m8BW9TUlpKr+6dmf3kJBTl6h43Xou6w7dDBJ3eeMh8sAKH31pB8u97HYpL2zoa3ahHQKOhfMc6yjb8WGM6p/Y9cJswh6I3nsSUeAoATVhTdHdMAZ0bqCrFb04DrRPuT7xWcZzSwB/D3s2UrvjYobgAer1wL036dcCgL2Xj9I/IOHSuWppus8bQ6vZYXH08+CjqoYrtGhcnBi6eRGDbZpTkFLD20SUUJGUC4B/ViL6vPoizpznu74c9h7G03O643GM7ETB7Emi15P/4O7mffG+zv8H9o/AePQTVYMSYk0f6vLcxJKcDEPrhAnTtoyhJOEzKo89VHOMzbgQ+992GS+MwzvQYgyk335GsquDSuQteU6aCVoP+t98o/sb2M9Rt+AjcRt4GJiOqXk/+W29iPG+uY93H3Y3b0KFgNFGw5F3K9uwxbx89BrdbbgFVxXDmLHmvvQrlZQ7FpW3VEdcRE8z32e4NlG9aUXO6tt1wu+9pit95ClPSadA64Xr7JDThzUE1UfbzpxjPHAZA0zAC1zseR3F2wXAsnrKfP3U0u0Q9969pXCiKUqiqqmcdnKcP8JSqqsP+96jq3k39e9AkojGDu46ifUwb5r/+DHfc/ECNaWdOfpZD+4/abGvSrBGPPDGeccMeIj+vAL8AXwB2bYvntn53A+DTwJu1u1awbfNO+4LSaPCe9gQ505/CmJGB/0cfULJ1W0XFB2A4eZLMhydCaSlut47Aa/JE8p5/Eddu3XBu0ZKsCQ+hODvj985iSnfuQi0uBsCpVSs0Xl6OZpONkH7t8YwI4fceM/CLbk70qw8Qd8v8auliXn2QvU99QnbCKWK/mkVIv/akxu0n73gS2ycsJub1B6sdU3g+jfUD51xVXEaTiVe+28gHj48muIEXd7/2Fb3bNScy1L8izczRfSv+/82mBI4lmT/o9p2+yL4zyfww9z4AHnjrW/aeTKJzy0a8PmEYnm6uqKrKUx//yvqEEwzpFOVYcBoNDV+cxNl7nqU8NYvmv7xN/vpdlJ5KrEhSlpxB4lOLCXz4tmqHm0rKODn0iWrbk1/6BFOhHoDQeRPwv39YtUbLlXTu25mwZmFM6DWBqI5RTFk4hWkjptWYtseQHuiL9Dbbzh8/z0uPvMTjrz5us33Tyk1sWmlu2DaNaspznzznUMMCjULbVx5g59iF6FOy6LVmAanr4ik8cbEiSaNxfSnPLSKu+zTCbu1O63njSJj4LmXZBey+701K03Lwigqn6zez2dDxMQBOv7+KrG1HUJy1dP9hHkH92pMet9/+uCyxRb36IAljF1CSnEXXta+QsXYvRVaxNRzXD0NuEdu6PUHwyB60eHYcBx95BwD9+TR29n+62mkPPLwYo+V6tvt0OsEjupO2cnu1dJczcuhAxt0+gjkvvVnj/i079nAhKZnV333KgcPHeOnNJXzz8WLy8gt4/7Ov+e7TdwG4Y8Lj9Intho+3Fy+9uYTnn36cdjdGMfmp59i6cy+9und2KC64dnVH/vEkNgyZh2o0oQtqwMCNC0lZl4BqtHMFfUWDbsxkiv8zDzU3C/enFmE4tAtTaqJtOlc3nHuPwHjuWOU2jQbdvTMo+eJtTMlnwd0LjEYwlFP8emWZcJ+5GMN+x64lQJO+7WnQLIQve80guGMkvReO58cRz1dLd3Z9AgeWreeeP22v+w139qE0t4gve82gxYhu9JhzJ2sfXYKi1TDw3cmsf+IDso5eQNfAE1O5wf7ANBoC5z3GxYdmY0jLpNF371G0aSflpy9UJCk9eprEMVNRS0rxvmMY/jMeIm3GQgByP/sBReeKz9hbbE6r/+swRZt30XD56/bHUkNsXk88Se7MGRgzMvD74ENKt9t+hpZs3ID+V/PDCtcePfB69DFyn56FtkkTdP36kfXAeDT+/vi++TZZ992Dxs8P91G3kzn+Pigrw2f+8+j69aNk7Rr741I0uN72CPqPnkfNy8Lt8dcxHN6Nmp5km85Vh0vsMIznKx90Onc1N/T1bz+J4uGD7qFn0b87E1QV11GTKP3x/zBdOIFuwrNoW0VjPJ5w9fn3NzPJhO4rkmFR/zD9b+7Nz9//BsD++EN4+3gRGOR/haMqjbl3JF8v/YH8vAKAit4Ma4OH92dL3A5K9KV2ndO5dRTGixcxpqSAwUDJxjh0sT1t0pT9tQ9KzecrP3IEbWAgANqmTSjbvx+MRtSSEsrPnMa1axfzQRoNXpMnUfBB9aeZjggbEsP5H7YAkJ1wChdvd3RBDWzS6IIa4OTlRnaC+cne+R+2EDYkBoCCk8kUWnon6tKhc6k0CmxAeEADnJ20DI5pxeb9p2pN//veYxWNBEVRKCs3UG4wUmYwYjCa8PdyB8DTzRUAg8lEucF4VdWge4cWlJ1PoSwxDbXcQO6vf+I9yLZXpTwpnZJj51BV+59UX2pYAGh0LuDAsZd0G9SNjf/dCMCxv47h6e2Jb5BvtXQ6dx2jHh7Ft+/aPulPPJXIxTMXq6W31vvW3vzxi329dpf4dmxO0dlUii+ko5YbSV65g5DBnWzShAyOIen7PwFIWbWLwNg2AOQfOkdpmrksFhxLQqtzQePihFFfRta2IwCo5UbyDp5FF2p/eb/EJ7o5xWfT0J83x5a6cjuBQ2y/bAcO6UTy9+bfOf3XnfhZYrucSw0LxUmLxsXpqq5npw5t8fGu/QHCpq07GTGkP4qi0L5NawoKCsnIzGbbrni6d+6Ij7cXPt5edO/ckW274snIzKaoqJj2bVqjKAojhvQnbssOh+OCa1d3GPVlFQ0JjaszOJhtmiYtMWWkoGalgdGAIeFPnNp2q5bO9ZZ7KNvwI2p55dN9bVQ0puRz5oYFQHEBqLaNGiUwDMXTB+Ppw44FBjQbFMOx/24FIO2v07h6e+BeJc8u7StOz622PWJQNMd+NOf5qd92E97zRgAa39SWrKOJZB01NwZKcgtRHegl07VtRfmFZAxJqVBuoPD3zXj2626TRr97P6qlt7/kwFGcggMq9+3ch1rlQQVA2dHTGJLT7I6jJs5RrTEmW32GxsXh2jPWJs2lB24Ais6t4p5x7RlLSVwclJdjSk3FmHwR56jW5p1aLYqrK2jM/5qyMh2KS9O4BabMFNRsy322bytON3apls5l8DjKNv0Ehsr7TAluhPHUQXPsRXmo+iI04c1RvHxRdG6YLpwAwBC/Cac21c8p/tn+dY0LxewNRVEOKYpyUFGUOyzb+yiKssoq3RJFUcZb/j9EUZRjiqIkAKOs0jyvKMpSRVE2K4pyRlGUx6323aMoym5FUfYpivKhoihay88yq/eeZkn7uKIoRxRFOaAoytWNabAIDgkkxaoiS01OJzg0qMa0C995jp/ivmLy9AkV25pGNqZpZGO+XvUJ365eSmzf7tWOGzpyIL+tWGt3TJqAQIzpGRWvjRkZaCyNh5q43XILpbt2A2A4bWlMuLqi+Pjg0rEjmiDz7+M+6jZKt23DlJVtdyw1vl+IH8XJWRWvi1OycQu1/TLqFuqLPrnyffQp2biF+F3x3B6NAxmwbgF9VswjoGsrh+JKzy0kxLfyS1WwrxfpeYU1pk3Oyic5K58urRoD0D4ijM4tGzFg9ocMfOYDurduSoTVl87J7/1Iv1nv465zYUB0S4fiAnAO9qc8ufKDqDwlC+dg+7/UalxdaP7L20T+9Abeg2y/9IS/8QSt93yOa2Q4mctW1XKG2vmH+JNpFVtmSiYBIQHV0t038z5WfLyCEr3jw656D+/N5p83O3SMLtQXvdV9VpKSha7KfaYL9atIoxpNlBcU4+Jn+8U6dFgX8g6exVRm+1TWydud4EHRZG455FBcAK4hfpRaxVaanIVrSPXYSi5WxmYoKMbZEptb40C6bniVTj/Np0FX216wjt/OoffhjzAU6kn71c7eTgekZWQRElR5fYODAkjLyCQtI5OQoMp6JjiwcnuwdfrAANIysrga17Lu8OsYyaDNrzF406vEP73U/l4LQNPAH1NuZZ1rys1E8bEtn5rwSJQGARiP2A630gSFASpuk1/EfeZiXPrfTlXOMTdhSNhidzzWPEN8KbTKs8KUbDxDqjf+a+MR4kuBJT9Vo4mygmJ0vp40iAhBVVVGfDmLsatfpuOkW65wJlvaYH/KUyvzzJCaiTaoer1xifeoIRRv2ePQe1wtTUAApvT0itemjAy0AdVjcxs5Ev8vv8Zz4iQK3jP3KmprOFYTEIApM5Oi778l4LvvCfzvCkxFRZTtdWzoneLth5pbWdeqeVnV77OGEWgaBGA8Fm+z3ZR8FqcbuoBGg+IbhDY8EqWBP4qPH6a8yvvDlJeF4u34AxNRv/3rGheYGwcdgPbAAOANRVFCa0usKIoO+BgYDsQAIVWSRAGDgS7AfEVRnBVFaQ3cAfRUVbUDYATutrxvQ1VV26iq2hb4zHKOZ4COqqq2AybVEscjiqLsVRRlb64+o6YkDnlq8rOM6HMX9wx/mE7dOnDr2KEAOGm1NIloxH0jJzJj0jxeensuXt6Vo8kCg/xp2bo5Wzdd3ZO+K9ENHIhzq1YUfWNuY5Xt2Uvpzl34/99/aPDcs5QfPgwmExp/f3R9+lC84qdrEkddKEnP5bdOT7Bh0Fz2Pf8lXf/zGE6ebtfkvdbGH2NAxxYVcycupOdwJjWbdQseYd3Ciew5cYGEU5Vd1e9PHc2GVydRbjCy+/iF2k57zRzt+SCnRkwn8fE3CXvuIVwaVxarpJnvcLTreEpOJdFgeOxlznL1Im6IILRJKNvXOD6so1WHVpToSzh//PyVE9cxz1bhtJ43jgMzP7HZrmg1xHwwlbOfrKX4QnotR18bpWk5bIl+jF0DnuH4/M9p+/5UtFb3+V93LuTPdpPQuDjb1dshzLL/Os26Pk+z4eZnaT11hLkHo64oCq63PUTpyhrGsmu0aCNuoOTzNyle/DRO7bqjbdneJolT9E2UJzjWc3etaZy0hHVuybqp/8eKUS8SOaRTRa9GXfMc3g9dmxbkLHVsyOa1pl+5kqx7xlH40Yd43HvfZdMqnp7oesSSededZIwehaLToRswsG4DUhRchz9A6a+fVdtl2LMRU14mbk+8ieutE8xD80z2N6DrM7Ue/djD8gD9uKIopxRFeaaG/a6Konxn2b9LUZSmDmRHjf6NjYtY4BtVVY2qqqYBfwCXG2wbBZxVVfWkah7f8WWV/b+pqlqqqmomkA4EA/0xN0T2KIqyz/I6AjgDRCiK8p6iKEOASzO7DgBfKYpyD1DjIFFVVT9SVbWTqqqdGrjZPvUf9+AYfor7ip/iviI9LYvQsOCKfSFhQaSlVP+ykW55QlNUVMyq/66lXUdzJZyaks6mNVswGIxcvJDMudMXaBLRuOK4IbcOZMPqzRgMxstkmS1TZgZaqyeI2sBATBnVG0guMTF43ncPubPngFU3fdEXX5I14SFyZjwFKBgSE3Fu0QJtw4YEfv0Vgd99i6JzJeDrr+yOKXL8QAauX8jA9QspSc/FPazyyYh7qB/6FNvhYPqUHNzCKp82uoX6oU+9fI+JqcxAWY65pyH3wDkKz6fhFVm1bVq7oAaepOYUVLxOyykgyKfmaUNrrIZEAcTtP0W7ZqG461xw17nQ88Zm7D+TbHOMq7MTfdpFsvlA7ZOda1OeloVzWOWTM+dQf8rT7H/6a0gz511ZYhqFOw/hdmOEbQKTibxf/8RnSM8ajq5u2P3DWLJmCUvWLCE7PZsAq9gCQgPITLXt7m8d05oW7VqwbPsy3lrxFg2bNeS171+retoa9b61N3/87PgXq5KUHNys7jNdqD8lVe6zkpTsijSKVoOzlztl2QWW9H50Xjqdv6b+H8Xnbct0uzcfpvBMKmc//t3huABKU7NxtYrNNcyf0tTqsekaVsbm5OVOeXYBapmBcst9XnDgLMXn0vCItH1eYyotJ2PNXgKH2A4DqwvBgf6kplde37T0TIIDAwgODCDVqsc0LaNye5p1+oxMggPtfzL6d9Qd1gpOJmMoKsEnKtzuY0y5WWgaVNa5mgYBqFZPg3F1QxPaGPepr+Ax/1O0TVvh9sizaBo1R83NwnjqMGpRPpSXYjiyF014ZOW5wpqhaLSYEu2vN9reP4A71izgjjULKErPxdMqzzxD/ShMrT78tjZFqTl4WfJT0Wpw8XKnJKeQwpRskncdpySnEENJGec27SewTVO7z2tMy8I5pDLPnEICMKZXHybk1r0jfo/cRcpj820+p64lU2ZmRY89gCZTaxtqAAAgAElEQVQwEGNm7UOYSuI2VgybMtZwrCkzE5eYThhTU1Dz8sBopHTLFpzbONb4V/OzURpU1rWKj3/1+yykMW6TXsZ99odoGrdEN36O+X4ymSj79TP0i6ZTsuwVFDcPTBnJqHnZaKx6PzQ+/qj5V9ezKK5MURQt8B/gZuAG4C5FUW6okmwCkKOqanNgEWDfh+Vl/BsbF7UxYPv76uw8znrigRHzJHgFWK6qagfLTytVVZ9XVTUHc4/JZsw9FJceP96C+eJGY26QODSR/uulP3Bbv7u5rd/dbPx9M7daJpS1j2lDQX4hGem2BVOr1dLAzwcAJyctfQbFcuKY+YNiw+o/6NIzGoAGfj40jWxM0vnK8ee33DaI336yf0gUQPmx42jDw9GGhoCTE7r+/SjdZvvE2KlFc7yfmk7O7DmYcq3G2Wo0KN7e5jQREThFRlp6M3aScdsoMu64k4w77kQtKSVz3N12x3R62XrWD5zD+oFzuPj7XpqM6QWAX3Rzygv0lFQZ61uSnouhQI9ftHkVmiZjepG8Jr7aea25+HuBxjyjwaNxIF7NQig8b/9T5RubhHAhPZeLmXmUG4ysjT9O73aR1dKdTc0iv7iU9hFhFdtCfb2IP5mEwWii3Ggk/mQSESH+FJeUkWEZWmUwmthy6AzNgq88RKOq4v0ncWkahnN4MIqzEw2G30T++t12Hav19kBxMd/iWl9vPGJaU3LSPNHUpUnll1LvAV0pPZ1U4zmqWrV8FVOGTGHKkCnsWLuD/rf3ByCqYxRFBUXkpNt+efnti9+4p9M9jO8xnhmjZnDx7EWeHlt9QnJViqLQa1gvh+dbAOTuO41HRAhujQNRnLWEjexO6jrbeyhtXTzhY28CIHRYVzK3mce0O3m70+XLWRxd8A05e07YHNPq6bE4e7lx2LIC0dXI/+s07hEh6CyxhYzsQcZa2yESGWv3Eja2NwBBw7uRvdUcm7PVfe7WJAj3iFCKz6ehdXfFxTKWXtFqCBjYkeJTtg3cutAnthu/rNmIqqrsP3QUT08PAgP86Nk1hu27E8jLLyAvv4DtuxPo2TWGwAA/PDzc2X/oKKqq8suajfSNrT4foTZ/R93h3igQRWv+OHIPD8CreRhFifb3WJsunEATGIbiFwxaJ5yib8JwcJdVUMUUzbmbohcmUPTCBIznjqP/6CVMiacwHI1HE9YEnF1Bo0HbvA2m1MreTaeYmyiPd+z+P7h8A98Nmct3Q+ZyZm08Ubebv/gGd4ykrKC4xrkVtTm7PoGo0eY8b35LF5Isc44u/HEAv6hGOOlcULQaGnaNIvvk5edOWSs5dBznJg1xahgMzk543tyHok22w/hcWkcSNP9xUqbMx5idZ/e5/1flx46hbRiOJsTyGdqvH6Xbt9mk0TZsWBlnt+4YL5rrztLt29D16wfOzmhCQtA2DKf82FGM6Wk433ADuJrn4LlER2M471hvrCnxJJqAUBTfIPN91iEW4xGroWIlxRQ9fz/Fr0yk+JWJmC6coGTZQvNqUc4u5nsM0LZob17lKj0JtSAHtUSPprF5uK5TTF8Mh+37bBFXpQtwSlXVM6qqlgHfArdWSXMrsNzy/x+B/srVLq9n8a9ZLcrKFmCioijLAT/gJmAm4AzcoCiKK+CGubdhK3AMaKooSqSqqqeBu+x4j43Az4qiLFJVNV1RFD/ACygCylRV/a+iKMeBLxVF0QCNVFXdpCjKVuBOwBOwv7a18seGbdw0oCfrdv9ESXEJc554sWLfT3FfcVu/u3FxdebT797DydkJjUbLjj9388MXKwHYumkHsX27smrLd5iMJt544R1yc8yVaMNGoYQ2DGb3dgdXbTAayV/8Dr5vvgEaDfrVv2M4dw7PBx+g/PhxSrdtx2vyZBQ3Nxq88IL5kPQ0cmfPBScn/JeYV3sxFRWT9/IC88oldSh14z5C+3fg5h1vY9SXsWfahxX7Bq5fWLHaU8Lsz+i8eCJanQupcftJtazIE3ZzJzq+fD+u/l7EfjGT3MPn2XLXawR2i+LGmaNRy42oqon4p5dSnltkd1xOWg3P3NGPyUv+i8lk4tbubWgeFsD//bqNG5oE06ed+cvKmr3HGdKplc1SmgOiW7L7RCJjXl6OokCPG5rRu10kWflFPPH+SsoNRkyqSueWjRjdq31tIdTOaCL5uQ+I+PwF0GrI+X4DpScvEDztbvQHT5K/YTdu7VrQ5MM5OPl44t2/M8HT7ubEoMdwbd6IhgsfM0/uVRTS3//RvMqUotDorSfReLqjKAr6o2e5OO//HA5tT9weOvfrzNKtSynRl7BoxqKKfUvWLGHKkCmXPb7HkB5MfnEyPn4+vLDsBc4cOcO8e+YB0KZrGzKTM0m9kOpwXKrRxKE5y+j2zWwUrYbEbzZTeDyJVrNGk7vvLGnr4rnw9WY6LnmUfjsWUZZbSMLE9wBo9uBgPJoF03L6KFpON0/72nnnK2icnWg57TYKTlzkpvXmVWvOLV3Hha831RZGrbEdn72U6G/noGg1JH+zmaLjSUTOGkP+/jNkrI0n+etNtFkyhZ4736E8t5CDE81jun27tSZy1lhUgxHVpHJ01scYcotwCfShw+ez0Lg6oWg0ZG87TNLy9Q7n28z5r7LnrwPk5ubTf+Q9PDrhXgwGcwfvHbfdwk3dO7Nlxx5uHvsgbjodL80xrwzm4+3FxPF3cedD5lXJJj0wrmJi+LwZj1UuRdut81WtFAXXru4I6NqKqCnDK+qOhNmfUZZd83yrGplMlPz4Ae6PvmheInTnekypF3AZejfGCycxHrrMlzV9EWWbVuL+1NuggvHIXpt5Gc4de6H/4HmH8sna+bh9NOnXnnu3voVBX8bGGR9V7LtjzQK+GzIXgB5z7qTlyB44u7kwfve7HPlmM7sXreDIt38wcPEk7tnyFqW5hax9bAkApXnF7Pv4d8asehFQOR+3n/Nx++wPzGgiY8F/CPt4IYpGQ/5P6yg7dR6/KfdRcvgExZt2EvDUwyjuboQsMtcHhuR0UqaY86LhF2/h0iwcxd2NpnFfkv7sIoq3xeNzz634PjgGbYAfjVd+QNGfu8l4brFjmWYyUvDuYnxffxM0Gkp+X43x3Dk8HngQw/FjlG7fjvtto3CJiUE1GFALCsl79RXzr3XuHKWbNuH/2XIwGil4ZzGYTBiOHqXkjz/w/+hjMBopP3kK/apfHYzLROnKj3F7eL5lKdqNmNIScRl0F8akU7YNjSoUTx/cHpoPqoopP4uSb96p2Ff604dWS9EmYDz2z1kpCqA+De5SFOUR4BGrTR+pqvqR1euGgPUyckmA7eosVmlUVTUoipIH+AOOrQBgHZcjK73UZ5eWorW0tl7H3AWkAi+rqvqdJc3rwG3AWaAQ+EVV1WWWIUyLgWLMjZNIVVWHKYryPFCoquqbluMPAcNUVT1nmSg+G3NvSDnwGKDHPM/iUg/JbGADsAnwwdzj8aWqqq9e7neJCupcLy/K5iiP6x1CrbacbHjlRNfJsC97X+8QanRygoMfNH+jp40OLDH5N3u0vPrKN/WBTq1PH3m2+hx+5XqHUKuVbZ+93iHUaMiYv+/JuaOW/1Q/ywDAEK//fc7iteIV7PjiEn8Hj06O927/XTzf+Knerfu6ImRcvfmONir168vmj6Ioo4Ehqqo+ZHl9L9BVVdUpVmkOWdIkWV6ftqS56sbFv6bn4tLfuLDMm5hp+amaZhYwq4btazDPvai6/fkqr9tY/f874LsaQomuYdu1mbUqhBBCCCFEzS4Cjaxeh1u21ZQmyTJs3wf4nybC/GsaF0IIIYQQQlxLpv9tOsLfbQ/QQlGUZpgbEXcC46qk+QW4H9gBjAbi1P9xWJM0LoQQQgghhPiXscyhmAKsBbTAUlVVDyuK8iKwV1XVX4BPgS8URTkFZGNugPxPpHEhhBBCCCGEHerNhAs7qaq6GlhdZdtzVv8vAcbU5Xv+/7QUrRBCCCGEEOIaksaFEEIIIYQQok7IsCghhBBCCCHsUH8X/a4/pOdCCCGEEEIIUSekcSGEEEIIIYSoEzIsSgghhBBCCDuY/lF/5uL6kJ4LIYQQQgghRJ2QxoUQQgghhBCiTsiwKCGEEEIIIexgQsZFXYn0XAghhBBCCCHqhPRcCCGEEEIIYQf1egfwDyA9F0IIIYQQQog6IY0LIYQQQgghRJ2QYVFCCCGEEELYQf7OxZUpqiqjx+qbdcF31suLkq6tv23R+lzYtfXyakJhPe639DRd7whql6293hHUrFF5/c20cqX+FtCRB1+63iHU6Pt2z13vEGpVXn8vJ77G+lsO6qtCTf39MLg7+ct6d7d93vCeevOpft/F+pc/IMOihBBCCCGEEHWk/j6KFkIIIYQQoh6RvrErk54LIYQQQgghRJ2QxoUQQgghhBCiTsiwKCGEEEIIIexQb2Zz12PScyGEEEIIIYSoE9JzIYQQQgghhB3q89L39YX0XAghhBBCCCHqhDQuhBBCCCGEEHVChkUJIYQQQghhB/k7F1cmPRdCCCGEEEKIOiGNCyGEEEIIIUSdkGFRQgghhBBC2EGGRV2Z9FwIIYQQQggh6oQ0LoQQQgghhBB1QoZFCSGEEEIIYQdV/ojeFUnPhRBCCCGEEKJOSM+FEEIIIYQQdpAJ3VcmPRdCCCGEEEKIOiE9F/8w/n3bE/Xy/ShaDUlfxXHuvV9s9isuTrRd8hje7ZpRnlPI/kfeoSQxo2K/rqE/Pba8xek3fuT8+6sAcPJ258a3J+IZFY6qwuFpH5C39+RVxdfppXtp2K8DBn0pO6Z9RPbBc9XS+LVtSvfFE3HSuXAxbh97n/3CZn/riTcTM/9ufmgzidLsQoK7t6b3Z9MotPweiav3cHDRSofi6vyiOS6jvpRt0z4i+1DNcfVcNBGtJa49z9nGdcPEm+n03N1812YSpTmF3DjpFpqN6gGAotXg06Ih37ebTFlukUOxxVTJs5zL5Nml2OItedZu5mjCB0ejqiqlmfnsePJD9Gm5OHu50WPJZDzC/FGctBz9YDVnvvvTobgAerx4L40tsW2e9hGZNeRbQNum9Flkvp4X4vax3ZJv/jc0pterD6J1dUY1GNkydxkZ+87QZFA0nWeORjWpqAYj25//ktQ9J657ngXVcJ8dcvA+A7jphXtpYoltw/SPyKghz7rNGkPU7bG4+njwYdRDFdvDurai1/x7CWjdiDWPLeH06j0AeDX0Z+jH01A0ChonLQeWrePQl3EOxRXUtx1tX7oPRavh/FebOLnkV5v9Ghcnot+bTIN2zSjLKWTvxHcpTswEoMXUETQZ1wfVaOLgvM9J33wAgEF73qG8UA9GEyajiT8Gz3Mopks6vHQfof3bY9CXsefJD8mt4Xo2aNeULosnodU5k7JxP/ue/RyA8GFduOGp2/FuEcbGoc+Rs/8sAL4dIuj0hiVvFTj81gqSf9/rUFzzFr7Nn9t24+fbgJVfflBtv6qqvLL4A7bs2INO58qCuTO4oVVzAH5evZ4Pl38LwMT77+TWoQMBOHzsJPMWvE1JaSm9undm9pOTUJSrG8R9LcpB+OBo2s0cjaqay2f8/C/J2O1Y+ezy4r2EW+LaWkt969+2KbGW+jYpbh+7LfVGh+mjaDGuD6XZBQDEv/o9F+P2E3FbD9pMvqXieN/Wjfh1yDyyD1+wO65LZQCthguXKQM+ls/PPRPfRZ+YibOvJ50/eQLfDpFc+O5PDs5ZVnFMzxXz0AU1wFhSBsD2O1+lLDPf7pj+CbFB/b3XRP0kjYtrRFGUc0AnVVUz6+ykGoXWrz5I/NgFlCRn0W3tQjLWxlN04mJFkvBxfSnPLWRrtycJGdmdls+O48Aj71Tsb/XCfWRu3Gdz2qiX7ydz0z72P7QIxVmL1s31qsIL69cer2Yh/NxzBgHRkXR5ZTxrhj1fLV2XVx9g18xPyEw4Td8vZxLWtx3Jm8xfVtzD/Ajt3ZbCJNtsS991nM33v3VVcTXs1x7vZiGsjDXH1fWV8fw+vHpc3V55gB2zzHH1/6J6XGE32cZ1+IPfOPzBbwCED+xI64eHONywCLPE9kvPGfhb8mxtDXnW+dUH2DnzE7Kq5NmR93/jwBs/AtBqwiDaTruN3c98RsvxA8k7cZE/7n8bVz8vhm95g3MrtmEqN9odW6N+7fFpFsK3sTMIio4k9pXxrKwh33q98gB/zvqE9ITT3PzFTBr1bUfipgN0nXsX8YtWkLjpAI36tafb3Lv4dcwCLm49zPl1CQD4tW7EgPen8n2fWdc9zwAy/of7DKBJ3/Y0aBbCF71mENwxkj4Lx/PDiOqxnV2fwIFl67n3zzdtthdczGLD9A+JnjjUZntRei4/jHweU5kBZ3dXxm14lbPrEyhKy7UvMI1C+1ceYNvYV9CnZNFnzcukrkugwKruaDKuD+W5RWzoPp2Gt3bnhnl3sXfie3i1bEj4yO7E9Z6FLsSXnt/PYX2P6WBSAdh2+wLKLF8Er0ZIv/Z4RoTwe48Z+EU3J/rVB4i7ZX61dDGvPsjepz4hO+EUsV/NIqRfe1Lj9pN3PIntExYT8/qDNunzjyexYcg8VKMJXVADBm5cSMq6BFSj/YMaRg4dyLjbRzDnpTdr3L9lxx4uJCWz+rtPOXD4GC+9uYRvPl5MXn4B73/2Nd99+i4Ad0x4nD6x3fDx9uKlN5fw/NOP0+7GKCY/9Rxbd+6lV/fODuSY2bUqB6lbDpO01lw+G7RuROyHU1l1k/3l81J9uyJ2BoHRkXR/ZTy/1VLfbp/1CRkJpxnwxUwa9m3HRUt9e+TjNRz+cLVN+jM/befMT9vNcUWF0+/TaQ41LNAotHvlAbZbykDvGspA43F9KMstYqOlDNxoKQOm0nKOvfYj3lHheEU1qnbq+Mf+Q66lUXtV6nNs1N977XqRYVFXJsOi/kF8optTfDYV/fl01HIjqSu3EzSkk02awCGdSP7e/IQ67ddd+MXeWLnv5k7oL6RTdDypYpuTlxu+3Vtz8atNAKjlRgz5xVcVX6PBMZz9cSsAmQmncfHxwC2ogU0at6AGOHu5kZlwGoCzP26lkdXvEPP8PSS8/C2o6lXFUFtcpx2M6/SPW2lsFVfn5+8hfkHtcTW7tTvnVu5wOLbwwTGcscSWZYlNVyU2nSW2LEtsZ37cSrglNkOhviKdk5sr6qX4VBVnDzfzdg8dZblFmAyOVYlNB8VwwhJbesJpXL09cK8Sm3tQA5w93Ui3xHbix600HdypIgYXT3MMLl7uFKXlmGMuLq043tnN1eFrfc3yrA5EDIrh6H/NsaX9VXOeXdpXnF69YVCQlEnWscRqMZnKjZjKDABoXZxRNI496fbt2JzCs2kUXzDXHUkrdxAyOMYmTcjgTlz4fgsAyat2ERjbxrI9hqSVOzCVGSi+kEHh2TR8OzZ36P0vJ2xIDOd/ML9vdsIpXLzda7yeTl5uZCecAuD8D1sIG2KOv+BkMoWnU6qd16gvq2hIaFyd4Souc6cObfHx9qp1/6atOxkxpD+KotC+TWsKCgrJyMxm2654unfuiI+3Fz7eXnTv3JFtu+LJyMymqKiY9m1aoygKI4b0J26L4/UGXLtyYF0+ndwdL5+NrerbjMvUty5ebmTUUt9eScTIHpz9ZadDcfl2bE6RVRm4WEMZCB3ciUSrMhBgKQPG4lKydx/HWFru0Hv+G2KD+nuvifpLei6sKIrSFFgD7AR6AHuAz4AXgCDgbuAUsBSIAIqBR1RVPaAoij/wDdAQ2AEoVue9B3gccAF2AY+qqmr/I2QLXYgfJclZFa9LkrPxibb9kNeF+lFy0ZxGNZowFOhx9vPCVFJGsykjiB+zgKaPDq9I79Y4iLKsfG58ZzJeNzYm/8BZjs9bjtGq0NvLLcSXIqv4ipKzcQvxRW/1JcotxJfilOxqaQDCB0ejT80h90j1p1GBMc25Zf0CitNySXjxa/KsnuhciXuIL8VWcRWnZONeJS73KnFdSgPQaFA0xSk55NQQF4BW50JYn3bsmrfc7phqjS3Z/L4ll4stuTI2gPZPj6HZmFjK84vZMHohAMc/W0/vZdMZ9dcSnDx1bJ20xOGK26Pq9bTkSXGV2Iqsr2dKNh6W2LY//yVDv5pFt2fHoWgUVt76QkW6pkM60eWZsbgFeLPmvpqfCtfmWuUZQEBMc4auX4D+Ku4zMOdZoVVshSnZeFbJs6vlGerH8OVP4dM0mG0LvrG/1wJwC/VFb113pGTjW6XusE5jrjuKcfHzwi3Uj+z4k1bHZuEW6ksO5mFBPb59BlQ4+8VGzjs4VAvALcSvWvl0C7W9nubYKq+nPiUbtxC/K57br2MknRY9gkd4ALumvu9Qr4U90jKyCAkKqHgdHBRAWkYmaRmZhAQFVm4PrNwebJ0+MIC0jCyuxrUsB+FDOtFhzlh0/t5svoryWVO9UbW+rVpvWMfV+oGBRI6OJevAWfa8+BVlebYPvJoO70rcg4sciktXpQzoaygDulrKwJV65jounohqNJH82x5OLPrJobjqe2xQf+81UX9Jz0V1zYG3gCjLzzggFngKmIO5ofGXqqrtLK8/txw3H9iqquqNwE9AYwBFUVoDdwA9VVXtABgxN1JsKIryiKIoexVF2btaf7rOf6nImWM4/+Hqao0GxUmLV9tmJC1fz84BszEWl9J06q11/v5XonVzoc3UEey3dJ1ayz54jp+6PMlvA+dyfOk6ei+d9vfFpTPHte/N6nFd0mhQR9L3nnB4SFRd2f/aD6zs9ATnVmyn5YPmcd2hfdqSc/g8KzpOYfXAuXRecB9Oll6Ev8sN9/Vnxwtf8VWXJ9j+/Ff0fvPhin3n1uzl+z6zWDdhEZ1mjv5b44Ka8yz74DlWdnmS1Zb77Ka/8T6zR2FKNt8MmsMXvWbQenQv3AK8r3dIbBnxApsHzWX73a8R8cBA/LtFXe+QbGT/dZp1fZ5mw83P0nrqCHMPhqhQUzkASFqzl1U3zeLPBxfRbtbfWz6Pfb6B//aYzi+D5lKcnkvn52w/LgM6RmLUl5Fr1QN/PcU/+h829X2Grbe+iH/XVjQa0+t6h1ShPsVWH++1q6XWo5/6ShoX1Z1VVfWgqqom4DCwUTX34R0EmmJuaHwBoKpqHOCvKIo3cBPwpWX7b0CO5Xz9gRhgj6Io+yyvI6q+qaqqH6mq2klV1U5D3SJrDKwkNRtdmH/Fa12YH6Wp2bZpUrLRNTSnUbQanLzcKM8uwCe6OS2fvZtee96j8SM3E/HESBo9OJiS5CxKk7PJsww3SPt1F95tm9qdWS3HD2Do+gXmp73puXhYxecR5oc+NccmvT41B/dQv2ppvJoE4dk4kFs2LGTkrkW4h/oxdO3L6AJ9KC/UV3SfJsftR+OsxdXP87Jxtbp/AMPWLWDYOvNTaHeruNxD/SiuEldxlbgupfFqao5r+PqFjNppjmuYJa5Lmo5wbEhUy/EDuHn9Am625JlNbGF2xFZDGoCzP22n8VDz2O3IO3qTuNo8ebXwXBqFFzLwaR56xdhuvH8At69dwO1rF1Bc9XrWkm8e1tcz1I8iS5qWo3tx1jIh+cyqXQR1qH5fp+w6jnfjIHS+l7+ef0eeGa7iPgNoe/8A7lyzgDvXmPPM0yo2z1A/Cmt43/9FUVouWceTCOvSyu5j9Ck5uFnXHaF+6FOya01jrjvcKcsuMPcS2Bzrjz7F/DuVWH63ssx8Un7fi2/HmuuuqiLHD2Tg+oUMXL+QkqrXM9Sv4vy2sVVeT7dQP/RV6r7LKTiZjKGoBJ+ocLuPsUdwoD+p6ZXzsNLSMwkODCA4MIDU9MqFNNIyKrenWafPyCQ40B97/R3lwFr6ruN4Ng66YjmIun8AI9YtYISlvr2aeuNSmpLMfFSTCqrKya82EdDB9uOy2a3dOPOz40PJSqqUAbdQP0pSqn5+1lwGLnteS9yGohKSftpOAzvLQH2Prb7ea+KfQRoX1Vk/2jdZvTZxdcPIFGC5qqodLD+tVFV9/moCy//rNO4RIbg1DkRx1hIysgfpa+Nt0mSsjSds7E0ABA/vSvbWwwDsufV5tnSeypbOU7nw0e+ceWcliUvXUpaRR0lyFu6R5i+e/r3a2EwQv5ITyzaweuBcVg+cS9KaeJqNjgUgIDqSsvxim65wAH16LuUFegKizZVcs9GxJK6NJ/dYEj+2e4yVXaexsus0ilOyWT14HiUZeTZf5P07RKBoFEqzCy8b1/HlG1g1aC6rBs3lwtp4Iq3iKrcjrkiruH5o/xgruk1jRTdzXKsscQE4e7kR3C2KRMukNHvz7PeBc/l94FwS18QTYYnN35JnJVViK7HE5m+JLWJ0LEmW6+7VLLgiXfjgaPJPmceeF13MJKSXeb6NLsAb78hQCi+kXzG2w8s38N/Bc/nv4LmcWxNPS0tsQdGRlBUUVxveU5yeS3mhniBLbC1Hx3JunTm24rQcQru3BqBhzxvJO5sKgHfTypgD2jRF6+pESc7lr+ffkWdXc58BHFy+gW+HzOXbIXM5szae1rebYwvuWHOeXQ2PED+0OvNTd1cfd0I7tyT3TPV5BrXJ3Xcaz4gQ3C11R/jI7qSus607UtfF03is+clm2LCuZG47XLE9fGR3NC5OuDcOxDMihJy/TqF1d8XJQweA1t2VwN5tyT+WaFc8p5etZ/3AOawfOIeLv++lieWJql90c8oL9DVeT0OBHj/LUJEmY3qRvCa+2nmtuTcKRNGaP+LcwwPwah5GkdXKeXWhT2w3flmzEVVV2X/oKJ6eHgQG+NGzawzbdyeQl19AXn4B23cn0LNrDIEBfnh4uLP/0FFUVeWXNRvpG9vN7vf7O8qBp1X59G3bFK2L0xXLwbHlG/hl0Fx+qVLfBl7mc6CsQE+gVX17wRKX9fyMxjd3su2hUBSaDuvK2atoXOTuO42HVRloWEsZaFRDGaiNotXg4meek6M4aQkZ2JECO8tAffyJouYAACAASURBVI+tvt5r4p9B5lw4bgvmYU0vKYrSB8hUVTVfUf4fe/cdHkXxP3D8PXeX3khPCCC910DoIL0oIk0ECyIWRERFBKWrSLEhKjYURUQBRcRGbwLSe+8lQHpCID1X9vfHHcmlkQtGib/v5/U8eZLszu5+buZ2bmdnZk9twTqE6k2lVE/g5mDDDcAvSqn3NU2LU0r5AV6apl0q6YE1s4WT478mfMkElF7H1cWbSDt1hWrjHuDGofPEr9nH1e83UX/uSNrunIMxOZXDwz8sdr8nJ3xNg0+eQ+dsIONSHEdfKPjIRUdc3XCQ8p0bcf/29zBlZLNj9Lycdfesm87KrhMB2D1+Aa3nPI3e1ZmoTYeI2njolvut1Ks5NYd0RjOZMWUa2Tri4xLHFdapEX3/ssa1/aXcuHqtnc7v3axx7ZqwgNbvP219RO6mQ1wtJi6wfvhFbTmCKaPkc1QAojYcJKxzI3pvfw9zvjzruW46q2x5tmf8AloVkmeNJzyId7VQNItG2tUEdr9iferR0TkraDVnOPdumAkKDkxfWuJKO3LjQSp1asSgbe9hysxms12+9V8znZ+6W2PbOmEBHWdbY7u8+RCXbbFtGTef1q8/is6gw5RlZMsr8wGock8ENfu3xWIyY87MZv2IuWUizyr1ak4N2/vMnGlkWwnfZwAXNx7krk6NGLLtPYwZ2WwYkxvboNXTWdLDGlvrCYOo1ac1Tm7OPL77Q44t3szu95cT1Kgq937xIi4+7lTu0oQWL/Xn+y6v4lejPG0nP2SdN6MUBz5fSeJJx4eFaGYLhycsoPXiV62Pol28mZRTV6k9bgDJB88Ts3Y/l77fTNO5z9Jlx2yMyWnsGf4RACmnrnL115103vIOFpOZQ+O/BouGS4APLb62Dh1TBj1Xlv9FnO1pPyURs+EgoZ0b03PHbMwZ2ewZ/XnOuq7rZrCu6wQA9o//mgjbYy5jNh4ixlae5Xs2o8mbj+Hi70Xbb8eSfOwSWwe/RUCLWtR+7j40oxlNs7B//Ndkl/AcGDt1FnsOHCY5+Qad+zzCs088islknVj/YN97ad8qgq079tBz4DDcXF2ZNsGaHz7eXgwfOphBT74AwDOPP5QzMXzSmJG5j6JtGXFbT4qCf/A8uDeCKgNs52dGNttKeH5esdW3/f6yxrXNrt7ovXY6v9rq250TFtD2fWtc9vVts0mD8Kt7F5qmkXolgR2vfJWzfUjL2qRHJ5EaWfJG4s1zoJXtHIgs4hwIn/ssnW3nwF7bOQDQdc8HGDzd0DkbCO3RlB2DZpF+JcG6Pyc9Sq8jfstRLt7GvKOyHBuU3ffanWK5vSdH/09RpfmklP8624Tu3zVNq2/7f4Ht/2U312Ed/lTchO7tQDegqaZpCUqpB4HxWHuKjMBITdOKfNTF2uBBZbJQ4vRlty1alk92fZksTUgtw/2WnmX4WX9J+jsdQeEqGstuphlv83sc/g19jky70yEU6oeGU+50CEUylt3ixLeUJ+3/L0jVld0Pg4ejFpW5d9sHlR4pM5/qL0SWvfwB6bnIQ9O0i0B9u/+HFrGuTyHbJmJtUBS236XA0tKLVAghhBBC/Nuk+Vq8sttcFUIIIYQQQvynSONCCCGEEEIIUSpkWJQQQgghhBAOkGFRxZOeCyGEEEIIIUSpkMaFEEIIIYQQolTIsCghhBBCCCEcUGaeQ1uGSc+FEEIIIYQQolRI40IIIYQQQghRKmRYlBBCCCGEEA6wlMnvxC5bpOdCCCGEEEIIUSqkcSGEEEIIIYQoFTIsSgghhBBCCAfIl+gVT3ouhBBCCCGEEKVCei6EEEIIIYRwgHzPRfGk50IIIYQQQghRKqRxIYQQQgghhCgVMixKCCGEEEIIB1hkYFSxpHFRBj1jPnWnQyjU+qDAOx1CkS7E+d7pEIrUYqjxTodQqNg/0u50CEWamep1p0Mo0n2Zznc6hELFGcpuR/Sgfsl3OoQi/dBwyp0OoVADD79xp0Mo0gfhZTPPABrqym69dtnocadDKNSA1Y/e6RDE/zNl99NICCGEEEII8Z8iPRdCCCGEEEI4QL7nonjScyGEEEIIIYQoFdK4EEIIIYQQQpQKGRYlhBBCCCGEA+RZUcWTngshhBBCCCFEqZCeCyGEEEIIIRwgE7qLJz0XQgghhBBCiFIhjQshhBBCCCFEqZBhUUIIIYQQQjjAou50BGWf9FwIIYQQQgjxP0Qp5aeUWqeUOmP77VtImsZKqR1KqWNKqcNKqQcd2bc0LoQQQgghhPjf8iqwQdO0GsAG2//5pQNDNE2rB/QA5iilyhW3YxkWJYQQQgghhAMs/3++6eJ+oIPt72+AzcAr9gk0TTtt93eUUioOCASSb7Vj6bkQQgghhBDiP0Yp9bRSaq/dz9Ml2DxY07Ro298xQHAxx2oOOAPnitux9FwIIYQQQgjxH6Np2jxgXlHrlVLrgZBCVk3Mtx9NKVVkl4xSKhT4FnhM07Riv+pDGhdCCCGEEEI44L80KErTtC5FrVNKxSqlQjVNi7Y1HuKKSOcN/AFM1DRtpyPHlWFRQgghhBBC/G/5FXjM9vdjwC/5EyilnIGfgYWapi1zdMfSuBBCCCGEEMIBljL08zfNAroqpc4AXWz/o5RqppT60pZmINAeGKqUOmj7aVzcjmVYlBBCCCGEEP9DNE1LBDoXsnwv8KTt70XAopLuWxoX/0FTZoyjQ5c2ZGZkMnbUVI4dPlkgzfe/fEFQcACZGVkAPPbACBITrlG+QihvfzgVP39fkpNv8NIzE4mJjqN8hVA+W/geOqXD4GRg4ZdL+H6Bwz1guLVphv8rI1B6HTeWr+b6/KV51vsM6Y9Xvx5oZjOWpOvET3kPU3QczrWqEjD5eXQe7mgWC8nzFpO25k8AvAf3xueRvjhVCuNiuwFYkm/cVn75dWxEzTeHovQ6or7byKWP8vb8KWcD9eaOxKthVYzXUjj69AdkXo4HwLNuJWq/8xR6TzfQNPZ0n4Aly0jjxeNxDvZF6XUk7zrJqVfng6XkIzH1NZvg0nsYKB3GPesxbv658HT1W+L26DjSPxyL5eo50Btw6fcMurBqoGlk/zYf8/lj4OyK24jpOdvpfPwxHthC9m9flTg2tzbNCHj1GZRez42fVpE8/4c8632G9MO7v7VMzUnXiZ88G1O0dchm6GfTcWlYm8wDx4gZOaXAvv3Hj8C7b3cuNO9T4rgABk8dRoOOTcjOyOarl+cSeexCgTQvfjMRnyBfdHo9Z/ac4LvJX6JZLHj4eDJ87mj8KwSReCWOz0bOJv1GmsP7vZWgjg1pMG0I6HVEfreJM3N/y7Ne52wg/KMR+DSsgvFaKnuGf0jG5QScfD2J+PIFfBtXI3LpFo5MWJCzTZ1XB1LxgXY4lfPgj2rDSp5Zdlq98SgVOzXGlJHFn6PnkXj0YoE0AQ0qc/f7w9G7OnN540F2TPkWgE6fPEe5aqEAOHu7k30jneXdJ+JZIYAHNr/N9XPWh47E7T/LtvFfOxyTvk44rv2eBp0O4461ZK8vvN4xNGqN2xMTSHvnRSyXzwKgK18Z1wefA1fr+Zn+7mjQG3B/4a2c7VQ5f0x7N5O1/AuHY7LXdNqjhNnybMfoeVw7crFAGr8GlWk1x5pnVzceZN9ka541HDuACt3D0TSNrIQb7HjxczJik6nQPZyGYwegaRqaycy+qYuI3326wH6LMmnGbLb8tRs/33KsWPRZgfWapjFzzmds3bEHV1cXpk8cQ91a1QH4ZeU6Pv9mCQDDHxvE/fd0BeDYyTNMmj6bzKws2rWKYPyLz6DU7X0VcafXH6VKR2uerRozj7hC3mdtxz5A3f5tcfXx4MM6T+Ysb/RIJxoP6YpmtpCdnsm6V+eTeCYKgIDaFek2cxjOXm5oFo1F903BnGV0OC7vDk2o8NpToNeRuHgdsZ/8lGe9Z4u6VJj6JG51KnNh5Lskr9wOgHNYIFW/GA86hTIYiF/wBwmLVgNQ44c3cQryw5Jp/aw9+/BrmBKvlyi/4PbrDoAao3pT6aEOYLZweNJC4jcfBqDqkz2465GOoBSXFm3k/BerSxzXtgPHeevr5VgsFvp1bsUTfbvmWR8dn8SkjxeRkpaB2aLx4sP30S68HkaTmdc+W8yJ85cxWyzcd3cET/btBsCUT77jz33H8PPx4ufZ40sckyj7pHGRj1KqMvC7pmn1S7jddk3TWtu2b61p2velHx106NKWylUr0an5/TRu2oBp70ygX/chhaYd/cxEjhw8nmfZhNdHs3zpHyxf+hut2kUwdvIoxjw7mfjYeAb0eIzsbCPuHm6s3rqM9av/JC4mvvigdDoCJj5H9NOvYopJIGzJR6Rv2oHxfGROkqwTZ7kx6Dm0zCy8BvbC76UniRs7Ay0zi7gJb2OKjEIf6EfY0o/J2L4XS0oamQeOkf7nLkK/euf2M0ynqDVrGAcGTicrKpGINTNJWLOXtNNXc5KUf6gTxuQ0drR8geA+rak++SGOPv0BSq+j7sfPcXzkx6Qev4TB1xOL0QTAkafmYE7NAKDB/JcI7t2K2BXbSxab0uHS5ykyvnwd7Xoibs+9jen4HrS4K3nTObvi3OZezJG5Fx9Oza1ztDLmjEZ5+OA6bBIZc8dBdiYZH4zJSec26h1MRx2af5WXTkfgpJFEPTUeU0wCFZZ+RNqmnfnK9BxXHhyFlpmF94O98B/zJLEvzwAg+esfUa4ueA+8t8CuXerVQO/tWfKYbBp0aEJQlVAmdBhF1SY1eGT608zoU/AD6rORs8m0ldGIT1+m2b2t2PPbX/Qc0YcT24+w6tMV9BzRh57P9uWnWYsc3m+RdIqGMx9n+8CZZEQncvfqN4lZu58Uu/dapYc6kJ2cxoZWLxF2fyvqTRrM3uEfYckycvKtZXjXroBX7Yp5dhuzdj/nv1pLlx2zby/DbCp2aoRPlRB+aDuGoPBqtJ05lF/ue61AujYzH2fruC+J23+OHt+OpULHhlzZdJiNz87NSdNi8kNkp6Tn/H/jYizLu08ssK9iKR2uD4wg/eNJaMmJuL/8Pqaju7DEXM6bzsUNp7t7Y75odyNFp8P10TFkfjsbS9QFcPcCsxlMRtLffj4nmfvYOZgOlfDctCnfqRHeVUL4tc0Y/MOr0XzmUNb0eq1AuohZj7Nz7Jck7j9Hx0VjKd+xIVGbDnP80z84/I61sVTriW40GN2X3a9+TczWY1xZsx+AcnUq0vbzUfzefpzDcfW5pysP9e/NhGnvFrp+6449RF6JYuXS+Rw+dpJp785l8RdzuH4jhU+//p6l8z8E4MEnnqdD25b4eHsx7d25vPbK8zSsV5sRL09h2869tGsVUcIcgyodG+FbOYT57ccQ2qQaXacP5bv7XyuQ7tz6/Rz4Zh1P/Jn3NZxYsYNDizYCUK1rOB0mP8JPQ95G6XXc+8EIVr74GfEnInEtl1sfO0Sno+Kbwznz0FSM0YnU+v1drq/bTeaZ3Pda9tUELr30AUHD++bZ1Bh3jVN9xqFlm9C5u1Jn/YdcX7cbY2wSABefn0364bOOx1IgttuvO7xqhhHWpxWb7h6Ha4gvrX+YwPrWL+FVM4y7HunIlp6TsWSbaLX4VWLXHSDtYqzDYZnNFmbM/5F5k0cS7FeOwePfpUOz+lSrGJqTZt5Pa+nWqgkPdm/HucvRjJz5Oas/qcfaHQcwGk0snz2ejKxs+o6eQc82TQkL8qd3hxYM6tGeiXNLfEO8TPh/9D0X/xiZc/E3KaUMAJqmtbYtqgw89E8dr0vPu/n5h98BOLjvCN4+XgQGBzi8ffVaVdmxdTcAO7buoUvPDgAYjSays613gJydndHpHL9j5dKgFsbIKExXYsBkIm3Vn3h0bJ0nTeaeQ2i2OztZh09gCA60HvfSVUyR1rtS5vgkzEnJ6Hx9AMg+eQ5TlOMVYWG8w6uTcSGWzEtxaEYzsSu2E9Aj7wdmYI9mRP9g7S2J+20nvm2t7Uq/Dg1JPR5J6vFLAJiupeb0TtxsWCiDHuVsQNNKXtnoKlbHkhiNlhQLZhOmQ9sw1G1eIJ1z94fI/nMFGLNzlqmgipjPHgFAS7uOlplm7cWwowJCUZ4+WC7kbWA6In+Zpq7ajEenVnnS2Jdp5qET6O3ehxm7DmJJzyjkRevwH/MUie/NL3FMNzXuFsGO5ZsBOH/gDO5e7vgEFvzC0JsNC71Bj8HJALYyatw1gu3LrNtvX7aZJl0jSrTfovg2qU7ahVjSI63vtasrdhDSvWmeNKHdm3H5h60ARP2+iwDbe82cnkXS7lOF3oW9tv8sWXG3/L4ih9zVrSlnlm0DIG7/OZy9PXALyvv63ILK4ezpRtx+62PMzyzbRuXuzQrsq+p9LTj3y46/HZPurppY4qPREm3nwP4tGBq0LJDO5d5HyF6/DM2Ymz/62uFYoi5aGxYA6SmQ7wmJKrA8ytMH87ljtxVfhe5NOW/Ls8T953D28cA1X565BpXDycuNRFuenV+2jQo9rHlmSs09BwxuLjn1hCk9K3e5u0vOe9NRzRo3wMfbq8j1m7btpHePziilaFS/DikpqcQnJPHXrn20imiCj7cXPt5etIpowl+79hGfkERaWjqN6tdBKUXvHp3ZuPX2yrd6t6Yc+8maZ9EHzuHi7YFHUMHzKPrAOdIKeV9n2+WZk1tu3lRu34D4E5eJP2G9wZGZnIpWgt5ij8Y1yLoYQ3ZkLJrRxLVft+LTLW99m30ljoyTlwq8jzSjCS3b2pBRzk4oXeleOv2duiOke1OurtiBJdtEemQ8aRdi8W1SHa8aYVzbfxZzRjaa2ULCjhOE3luyxuLRs5eoFBJIheAAnJwM9GgTzqa9R/KkUQrSMjIBSE3PJNDX27ZckZ6VhclsJivbiJNBj6ebKwDN6lbHx9O95Bkl/jP+c40LpVRlpdRJpdR3SqkTSqllSil3pVRnpdQBpdQRpdRXSikXW/qLSqm3bct3K6Wq25YvUEoNsNtvahHH2qqU2m/7aW1b3sG2/FfgeL7tZwHtbJNeRiultthPflFKbVNKNbrd1x8SGkT01Zic/2OiYgkJDSo07dsfvsbvm5bw3JincpadPHaa7r06AdD93k54eXlSznYxH1o+mJV/LuWvQ6v4/MMFjvVaAIagAEx2aU2x8eiD/YtM79WvB+nb9hRY7lK/FsrJCdPl6EK2uj2uIX5kRiXm/J8VlYhLiG/e44b6kXXVmkYzWzClpOPk54V7tfKgaTReMoGIdbOoNLJ3nu0aL5lAu2PzMKdmEPdbyXsHlI8/WnJubNr1RJSPX540uvJV0fn4Yz65L89yS/RFDHUjQKdD+QahD6uGKpe3kWlo1BbT4b9KHBeAIcg/X5kmYAgquhHr3a8H6VsLlml+Pg/1Jm3TDswJSbcVF0C5YH+S7Mr0WkwS5UIKf7+9uHASs/fNJzMtg70rrWXkHViO6/HWi5rr8cl42xoQJdlvYVxDfcmw2z4jOgnXUL8i09x8rzn7FX2RWJo8QnxJtYsvLToJj3zngkeIL2nRSbdME9KiFhnx17lxIbfh71UpkL6r36TXsomENK/lcEy6cv5YknPfZ5bkBJRP3jzXVbC+t83H9+ZdHlQe0HAb8QbuY+fg3Ll/gf07NW2Paf9Wh+PJzz3El3S7PEuPSsI9X364h/iSbpdn+dM0euUB+uz9gMr9WnP4ndxhOBV6NKPXlrfpsPBldr50e0O2ihIbn0iI3fkaHBRAbHwCsfEJhAQF5i4PzF0ebJ8+MIDY+ERuh2eILynRudumxCThmS/PitN4SBee3Poe7ScMYsPUhQD4Vg1BQ6P/t+N49I83iXimYK/orTiF+JMdlZDzvzE6EacSnN9OoQHUWfsBDXbPJ+bT5Tm9FgB3vTeK2qvfJ+SFgSWK6aa/U3e4hvrl2zYR11Bfbpy8jH+L2jj5eqJ3cya4c2Pcyjv+egFik5IJ9s9tGAb7lSMu35CvEQN78vuWvXQZPplnZ37G+GHWy6quLRvj7uJC56cm0W3EVB67rxM+Xh4lOr747/rPNS5sagGfaJpWB7gBvAQsAB7UNK0B1uFeI+zSX7ctnwvMKcFx4oCumqaFAw8CH9qtCwde0DStZr5tXgW2aprWWNO094H5wFAApVRNwFXTtEP5D2T/LYs3MhPyry6x0cMn0LP9QB68bxgRLZvQd2AvAGZMfZ8WrZvy28bFNG/dlOioWMxmMwDRUbHcc/eDdGx+P/0G3UdAoN+tDnFbPHt1xqVuTZK//jHPcn2AH4EzxhE/+d0S38X7pyi9jnItanPs2Y/Y13sKQfdE4Nsud7TcwUEz2NbwGXTOTvi1LdEoOgcDULj0GkrWHwsKrDLt3YDleiJuo97B5b5hmC+dBEveu21OjdpiOnj7F1aO8uzVCZd6NUj++tZzdPSBfnh0a8f17ws87e4fM2fIm4xp/hQGZyfqtC68jG6n1+l/WbX7W+XptUiPS2Zx8xf5ucckdr7+HR3nPouTp1vpHEwpXPo+SdaKQnq6dHr0VeuSufBd0ue8gqFhK/Q18963MYS3x7j/z9KJ5TYdeutHVjR7gYvLt1NzWO549Sur9/J7+3FsGfY+DccNuMUe/vccXLieL9uNYcvMJbR63jovS6fXU6FZTVY+/wmL+79Bje7NqNSm3r8WkzE6gRPdXuBYu2fwH9ARQ4D1ptzF52dzousLnO4/Ac/mdfHr3/Ffi+lWUs9EcWbub7ReMp6W37/C9WOX0Myl8HyhfFZt28f9HVuw/vNpfDL+GSZ89C0Wi4WjZy+h0ynWz3uTVR9P5ZvfNnEl9u9f25QFWhn6Kav+q42Ly5qm3bwluwjrbPcLmqbdHJT+DdZHZ9202O533rEdt+YEfKGUOgL8CNS1W7db0zRHZnv+CPRSSjkBw7A2ggrQNG2epmnNNE1r5u2a9w7xo8MG8vumJfy+aQlxsQmEhuV+2WJI+WBiogt+70ms7a5zWmo6v/60ikbh1ko4LiaeEUNf5r5Og3lvhnUMdcqNvJ02cTHxnD5xloiW4Q68PDDFJWAIyb0bZggOxBxb8K6XW8smlHtqMDHPTwW74Q3Kw52Qj6dx7aMFZBUyOf3vyIxJwtXubo1LeX+yYq7lSZMVnYRLmDWN0usweLljTEohKzqJ5B0nMCalYMnIJmH9AbwaVMmzrSXLSPzqvQT0KDh0pDja9URUudzYlI8/2nW7O/oubuhCKuH29DTcX/kMXaWauA4dbx3+ZLGQ/fvXZHwwhsyFs1BuHlgSonI21YVWBp0ey9XzJY4LwBSXmK9MAzDFFfxgcGvZBN+nBxMzKm+ZFsalTnWcKpWn0sqvqbTmG5SrC5VWOjbxt+OjPZiy8h2mrHyH63HX8LMrU98QP5Jjir7LasoycnDdHhrbhj/diE/OGe7kE1iOlATrnbjk2MQS7Te/zOhree4MuoX6kRmdVGSam++17KQUh49RUnUf60K/NdPpt2Y66XHJeNrF5xHqR1q+cyEt5hoedndM86dReh2Ve0Zw/rddOcss2Saykq11SMKRi9y4FIdP1cK+ELYgS3IiunK57zNduQC063Z57uKGLrQS7qNm4jF1PvrKtXB7ejK6itXRkhMxnz2GlnYDjFmYju9FVyF3aKCufBWUTo/l8jmHYrmp5tAu9Fw3nZ7rppMRl4y7XZ65l/cjPV+epcdcw90uzwpLA3Dh5+1UuqfgsJS4XafwrBSEi9/tz0PKLzjQnxi78zU2LoHgwACCAwOIicvtKYqNz10ea58+PoHgQMfvcjce0oUhq6YzZNV00uKS8QrN3dYrxI/UQvLDESd/3Un1btbhQSnRSVzZfYqMa6mYMrM5v+kQwfUrO7wvY0wizuVzP1udQv0xluD8ztlPbBIZpyLxbF7Ptl/rOW5JyyBpxRbcG9co8T7/Tt2RGZ2Ub1t/MqOt+R25eDN/dp/IX32nYUxOI/V8yUYFBPuVIzYxd+habFIyQf4+edL8vHEn3Vs1AaBRrSpkGU1cS0lj5ba9tGlcByeDHn8fL5rUrsKxc5GI/w3/1cZF/gZbcQOStUL+NmF7/UopHeBcyHajgVigEdAsX5o0hwLVtHRgHXA/1ucFf+fIdva+/eoHenUcRK+Og1i3clNOL0Tjpg1IuZFKfL67AXq9Hl8/68WTwWCgU7f2nD5p/YD19SuX8wSQES8M40fbXeSQ0CBcXF0A8PbxolnLJpw/e9Gh+LKOnsLprjAMYSFgMODR827SNucdr+tcuxoBU14gZtQULEl2xWUwEDJnKim/rSdtXenfZU85cA73qiG4VgpEOekJ7tOahDV5h1ckrNlL6MC7AQi6ryXXtlnHZyduOoRHnUro3JxReh2+reuSdvoKencXnG1jiJVeR0DXJqSfjaKkLFfOovMPRfkGgd6AoVFbzCfshhZlppP2xlDS33qG9LeewRJ5mswFM61Pi3JyBidreelrNAKzOc9EcEOjtpgO3X5+Zh09hVOlMAxhwWAw4NmzA2mb8g79cq5djcCpzxPz3FTMScU/HSV9y24udRhMZPfHiOz+GFpmFpH3PO5QPJu+Xc0b94zljXvGcmDtblr16wBA1SY1yEhJzxnmdJOLu2tOA0Kn19GwUzjR56yTIw+u30vrAdbtWw/owMF11jw/uG5vsfu9leSD5/CoGoK77b0W1qcVMWvzDmeLWbuPigPbAVC+VwsS/rq9uQCOOv7NepZ3n8jy7hO5uHofNQa0BSAovBrZKelk5BvznhGXTHZqBkHh1ov0GgPacsnuNYS1q8/1c1F5hk65+nmhbHO0vCoF4lMlmJTIQr/otQBL5Gl0geVRfsHWcyC8PaYjuQ0XMtNJm/Awaa8/QdrrT2C+eIqMedOwXD6L6cQ+dOXvsp4HOh366vWxxORevBiatse4r+S9FqcXrGdV14ms6jqRy6v3UdWWZ/7h1ci+kU5mvjzLjEvGmJKBvy3Pqg5oy5U11jzzjsKgwgAAIABJREFUqhKck65C93BunLVe3HlWzl3u26AyemcDWUkFRubetg5tW/Lr6g1omsahoyfw9PQgMMCPNi2asn33fq7fSOH6jRS2795PmxZNCQzww8PDnUNHT6BpGr+u3kDHtgXnvhTl4ML1LOw5kYU9J3J2zT7q9bfmWWiTamSlpBc6t6Io5ezypmrnxly7aB0GfHHLYQJqVcTgaq2PK7asTeKZq0XtpoC0Q2dwqRyKc8UglJMB397tuL5ut0PbOoX4o1ytH/96Hw88I+qQef4q6HXofW3DGg16fDpHkHmq5BfQf6fuiFm7j7A+rdA5G3CvFIhH1RCuHbBOLncOsM5/cAvzJ/SeCK4sL9mDDepVr8Sl6HiuxCZiNJpY/dd+OjRrkCdNSIAvu45Y7+uevxJDttGIn7cnoQG+7D56BoD0zCwOn75IlbDgAscQ/z/9V58WVUkp1UrTtB1YJ0/vBYYrpaprmnYWeBSw/1R5EOtciAeBm1e9F4GmwA9Ab6y9FPn5AFc0TbMopR4D9A7ElgLkH0T9JfAb1uFSt3cLx2bTum106NKWTXt+JTMjk3HPv5az7vdNS+jVcRDOLk4s+PFjnAwGdHo9f/25iyULlwPQsk0zxk4ehaZp7N6xn6njZgJQvWYVJrzxEppmnaD1xccLOXXCwadfmC0kzJhLyGczUHodKT+vwXjuEr4jh5B17DTpm3fiN+YplLsbwe9NBsAUHUfs81Px7HE3rk0boCvnjdf91sfUxU96h+xT5/F+qA/lhj2A3t+PCj99TvrW3SS89n6J8kszWzg1/iuaLJkAeh3RizeTduoKVcc9wI1D50lYs4+o7zdRd+5ztNr5AcbkVI4O/8Aa4/U0Ln/2OxGrrU9ASlx/gMT1B3AO9KHRwnEoFwNKp+PaX8e4+s26EsUFgMVC1i9f4vbEFOtjOPdswBJ7GeeugzBfOZe3oZGP8vSxbqdpWK4nkrn0wzzrDQ1bk/H19CK2doDZQsKMjwn93FqmN35eW6BM/W+W6exJgLVMY0a9BkD5b97DuUoFlLsbd61fRNyU98nYvu8WB3TckU37adAxnBl/ziU7I4uvx36Ss27Kynd4456xuLi78NyXr+Lk7ITSKU7uOMqf360FYNWnP/PMx2NoO7AziVfj+Xzk7GL36wjNbOHwhAW0WvwqSq8jcvFmUk5dpfa4ASQfPE/M2v1c+n4z4XOfpfOO2RiT09g7/KOc7bvu+QCDpxs6ZwOhPZqyY9AsUk5fpe7kwVTo2xq9mzPd9n/Epe83c+rdn4qMoyiXNx6kYqdGPLjtPUyZ2fz50rycdf3WTM952tNfExZw9+ynMbg6c3nzIS5vzB3FWa13S86tyHvjIKRlbZqN6Y/FZEazaGx79Wuykh269wIWC5nLPsP92Tes58DOdVhiInG+52HMkWcwH73FxV9GGtmbVuD+8mzQwHx8b555GU5N2pHx2WuOxVGEqA0HCevciN7b38Ockc2O0bl51nPddFZ1tebZnvELaDXnafSuzkRtOkSULc8aT3gQ72qhaBaNtKsJ7H7F2lNX6d4Iqgxoi8VkxpyRzbYRcwse/BbGTp3FngOHSU6+Qec+j/DsE49iMlknHD/Y917at4pg64499Bw4DDdXV6ZNGA2Aj7cXw4cOZtCTLwDwzOMP5UwMnzRmZO6jaFtG3NaTogDObzxIlY6NeHLrexgzsln9cm6eDVk1nYU9rXnWfsIg6tzfGic3Z4bv+pAjSzaz/f3lNBnajbva1sNiNJN5PY1VL30OQNb1dPZ+uYpHfn8DNI3zmw5xfuNBxwMzW7g8eR7VF72G0utIXLqBzNOXCR3zEOmHz3J93W7cG1Wn6hfj0ft44tMlgtCXBnOiyyhca1SgwuRhaJqGUorYz1eQefISOjcXaix6DeVkAJ2OlG2HSPh+bYnz7O/UHSmnrhL16046bXkHzWTm8Pivcx480vzLF3H288RitC433Ui/RRQFGfR6JjwxgBHTP8FssdCnY0uqVwzl4yV/ULdaJTpGNODlIX14/fMlfPvHJhSKaSMfRinFoO7tmfzJd/QdPQNN07i/Y0tq3hUGwLg5C9h77CzJKanWuRoD76Ff55IMKrmzSn9w2f8/6r823tj2qNfVWBsUTbFOqH4U63Cnd7E2mPYAIzRNy1JKXQSWAj2BLGCwpmlnlVLBWL/q3M22v5GapnnaP4pWKVUD+Alrb4d9mg7Ay5qm9bKLK9W2zglYA/gDC2zzLlBKnQRe1DSt2AdNVw1oUiYLZX1oYPGJ7pALcSWbMPhvajHU8eew/5ti/3DwAvAOmJn670xyvh33ZRbWyXnnxRnKbkf0oH5//2lX/5Rflzn+RLB/08DDb9zpEIr0QXjB764pKzpp/9www7/rsrFsTmjusfaxOx1CkVwadr+9L1v5B71ceXCZuUZ79+LiMpc/8N/tuTBpmvZIvmUbgCZFpH9H07RX7BdomhYL2Pf7vmJbfhGob/v7DNCwkDSbgc359udp+20EOtmvU0qVxzoEq+S3NIQQQgghRJkg33NRvLJ7q+v/CaXUEGAXMFHTNOlNE0IIIYQQ/2/953ou7HsWHExf+R8LxrHjLwQW3skYhBBCCCGE+Df85xoXQgghhBBC3AkyKKp4MixKCCGEEEIIUSqkcSGEEEIIIYQoFTIsSgghhBBCCAfIk3mKJz0XQgghhBBCiFIhjQshhBBCCCFEqZBhUUIIIYQQQjhAk+dFFUt6LoQQQgghhBClQnouhBBCCCGEcIBM6C6e9FwIIYQQQgghSoU0LoQQQgghhBClQoZFCSGEEEII4QCLTOgulvRcCCGEEEIIIUqFNC6EEEIIIYQQpUKGRQkhhBBCCOEAGRRVPGlclEFTXOrd6RCKEHenAyjSZYPTnQ6hSNHfls3Y7ut+406HUKQGG1zvdAi3UDYfRBihL7vl+c3P5e50CEXyVHc6gsJ9ED7lTodQpBf2v3GnQyjSLw0m3+kQiuSjme50CIX6rNe3dzqEIr0Q2f1OhyBugwyLEkIIIYQQQpQK6bkQQgghhBDCAfK0qOJJz4UQQgghhBCiVEjPhRBCCCGEEA4om7PuyhbpuRBCCCGEEEKUCmlcCCGEEEIIIUqFDIsSQgghhBDCAZpM6C6W9FwIIYQQQgghSoU0LoQQQgghhBClQoZFCSGEEEII4QB5WlTxpOdCCCGEEEIIUSqkcSGEEEIIIYQoFTIsSgghhBBCCAfI06KKJz0XQgghhBBCiFIhjQshhBBCCCFEqZBhUUIIIYQQQjhAnhZVPOm5EEIIIYQQQpQK6bkQQgghhBDCARZNJnQXR3ouhBBCCCGEEKVCei7+g5q/8SgVOjXGlJHFttHzSDp6sUAa/waVafv+cPSuzlzZeJDdU74FoPFL/ajxUAeyklIA2DfrB65uPASAb52KtHprGE6ebmDR+P3eKZizjA7F5NamGf6vjEDpddxYvprr85fmWe8zpD9e/Xqgmc1Ykq4TP+U9TNFxONeqSsDk59F5uKNZLCTPW0zamj8BCHzzZVybNsSSmgZA/KR3yD51vszkmTLoafPuk/jXr4wy6Di3bBtH5v5W4tiaTXuUMFtsO0bPI+lIwdj8GlSm1ZzhGFydubrxIHsnf5tnfZ3hPWk69WF+rP8MWUmpBLeqw91fjyb1cjwAl1fu4cj7K0oUl6F+BK4PPQs6HcYtq8hauaTwdE3b4fHcVFJffxbzxdMoD2/cR05BX6UW2X+tIXPR3Jy07i/NROfjB3o9ptNHyPz2I9BKPoL17tcfpXJHa56tHTOP+ELKs9XYB6jTvy0uPh58WufJnOXlm9fi7qmPElCnIquem8vZlXty1nmV96fz20/iFeqHBvzy2DukXElwOK6gjg1pMG0I6HVEfreJM/neDzpnA+EfjcCnYRWM11LZM/xDMi4n4OTrScSXL+DbuBqRS7dwZMKCnG3aLJ+Ea1A5zJnZAGwfNIvshBsOx5Tz2u4OJ2zqkyi9nsQla4n79Kc86z2a1yNs6pO41a7MxVHvcH3l9ryxe7pRe/3HXF+7i6tTPgegXO/2BI8cABoYY5O49OJ7mK+llDi2dq8/yl22c2DDS4WXZ8txD1DLVp7zaueWp87ZQNc5zxDYoAqZ11JY8+zcnDLzr12RjrNsdZqm8UMvx+u0m/6JuqNq39bUH3Fvzva+dSryW49JJB2LLFFsnV5/lCq282DVmHnEFRJb27EPULd/W1x9PPjQ7jxo9EgnGg/pima2kJ2eybpX55N4JgqAgNoV6TZzGM5ebmgWjUX3OZ5vk2bMZstfu/HzLceKRZ8VWK9pGjPnfMbWHXtwdXVh+sQx1K1VHYBfVq7j82+s9czwxwZx/z1dATh28gyTps8mMyuLdq0iGP/iMyilSpRXOa972hBCOzfClJHN3hc/J7mQ+rZcw8pEzHkGvasT0RsOcWjyQgDCejWn7sv98a5Rno33TOHaoQs529Qa1Zsqg+9GM1s4OHkhsZuPlCgu/46NqPXmUJRex9XvNnLxo1/yrFfOBurPHYl3w6oYr6Vw+OkPyLwcj2vFQFpvnU36OWvZXd93hhPjvrRu46Sn9sxh+LauCxaNszOXEPfH7hLFBX+vvm3yZE/qDe6AZjKTkZTCupfnkXI1EYD7F44jtEk1ovae5tfH3ytxXKLs+p9tXCilLgLNNE1LyLe8N1BX07RZdySwYoR1aoR3lRCWtx1DYHg1Ws0cyh/3vVYgXcuZj7N93JfE7z9Hl2/HEtaxIVc3HQbg+BerOfb5yjzplV5Huw9HsPWFz7h2PBIXX08sRpNjQel0BEx8juinX8UUk0DYko9I37QD4/ncD8qsE2e5Meg5tMwsvAb2wu+lJ4kbOwMtM4u4CW9jioxCH+hH2NKPydi+F0uKtUGRNPsL0tZtvb3Msvmn8qxyr+bonQ380mU8eldn+m5+iwsrdpBagovR8p0a4VUlhF/ajCEgvBrNZw5lda+CsTWf9Ti7xn5Jwv5zdFw0lvIdGxJli829vB+hdzcocNy4XafY/NhtVthKh+ujo0h79xW0pHg8p3yM8eB2LFH5Ln5c3XDp2hfTuRM5izRjNpk/L0AfVhldhcp5kqd/Mg0y061xj5yKU0R7jLs3lyi0yh0bUa5yCN+0H0NIk2p0mj6Upfe/ViDdhfX7OfTNOh778908y1OiElk35nPCh99TYJtu7z/Dnrm/ELn1KE7uLmiWEnR/6xQNZz7O9oEzyYhO5O7VbxKzdj8pp6/mJKn0UAeyk9PY0Oolwu5vRb1Jg9k7/CMsWUZOvrUM79oV8KpdscCu9438mGS7C5kS0+moMG045x6egjEmkZq/vsf19bvJOnM5J4kxKp7IMR8Q9HSfQncROuZh0nYfy12g1xE29UlOdhmJ+VoKoeOHEvhYL2LmLC5RaHd1bES5KiEsajeG4CbVuHvGUJb1fq1Augvr9nN4wToe2ZK3POsO6kBWchqL2o2hRu+WtJ4wiDXPzkXpdXT9cATrXviMxBORuJYrQZ1m80/VHed/3s75n62Nt3K1K9Bp/ugSNyyqdGyEb+UQ5rcfQ2iTanSdPpTvCjkPzq3fz4Fv1vFEvvPgxIodHFq0EYBqXcPpMPkRfhryNkqv494PRrDyxc+Iv41863NPVx7q35sJ094tdP3WHXuIvBLFyqXzOXzsJNPencviL+Zw/UYKn379PUvnfwjAg088T4e2LfHx9mLau3N57ZXnaVivNiNensK2nXtp1yrC4ZhuCunUCK+qIaxuPQa/8OqEz3qcjfdOLZAufNYw9r38JUn7z9L2u3GEdGpEzMZD3Dh1hR1PzKHp28PypPeqGUbF+1uytsMruAb70v6H8axuMwYcrT90itqzhrF/4HQyoxJpsWYm8Wv2kmZXd4Q91AlTchp/tXyB4D6tqTH5IY48/QEAGZdi2dn5lQK7rfJiP7ITbrC99WhQCidfzxLkltXfrW/jj11kyb2TMWVm0+CRzrSdMJhVI603nPZ//gcGN2caPNypxHHdSTIoqngyLCofTdN+LasNC4BK3Ztybtk2AOL3n8PZxwO3oHJ50rgFlcPZy434/ecAOLdsG5V6NLvlfsvf3YBrJy5z7bj1Ay7rWqrDF1YuDWphjIzCdCUGTCbSVv2JR8fWedJk7jmElpll3ffhExiCAwEwXrqKKdJ6x8Ucn4Q5KRmdr49Dx3XUP5VnaGBwd0HpdRjcnDEbTWSnZpQotordm3LBFlvCLWJz8nIjwRbbhWXbqGgXW9PXHmH/m0ugFMeB6qvWwhIXhRYfDWYTxt2bcWrSpkA6175DyVq5FIzZuQuzMzGfOYpmv+wmW8MCvR4Mt3dvo2q3ppz4yZpnMQfO4eLtgXu+PLu5Lj0uucDylCsJJJy8XOD97VejPDqDjsitRwEwpmdhyizkNRTBt0l10i7Ekh4Zh2Y0c3XFDkK6N82TJrR7My7/YG0sR/2+i4C29QEwp2eRtPtUie+qO8q9cQ2yLkaTfTkWzWji2m9b8enaIk+a7CtxZJ68WOgFkVv9ahgCypGy5UDuQqVQSqFzdwVA7+mGMTapxLFV6daUk7byjL1FecYWUZ5Vu4Vzcpk1T8/+sZsKbeoBUKl9AxJPXCbxhLVOy0x2vE676R+rO+zj79OaC7/uLFFcANW7NeWYLd+ibfnmUUi+RR84R1oh+WZfVzm5ueTUH5XbNyD+xGXibzPfmjVugI+3V5HrN23bSe8enVFK0ah+HVJSUolPSOKvXftoFdEEH28vfLy9aBXRhL927SM+IYm0tHQa1a+DUorePTqzcesOh+OxV75HUy79aH2vJO0/i5O3O6758sw1qBwGLzeS9p8F4NKPWynfw3oep5yJIvVcdMH9dm/K5V92Ysk2kX45ntSLsfg1qeZwXD7h1Um/EEvGJWvdEbNiO4E98jaeAns0I+oHa69+3G878bPVHbcSNrgDFz609VhrGsakkvcq/t369sqOEzn1aMyBs3iG+uWsu/zXMbJTM0sckyj7ykTjQinloZT6Qyl1SCl1VCn1oFLqolLqbaXUEaXUbqVUdVvaQKXUT0qpPbafNnb7+MqW9oBS6n7bcr1S6l3bfg8rpUbZHXqUUmq/7Ri1bemHKqXm2v5eoJT6UCm1XSl1Xik1wC7msbbjH1ZKvV7U67Atn6WUOm5LW/jtHAe5h/iSFpWY839adBLuIb4F00QnFZmmzuNd6b1uBm3eewpnH3cAfKqGABpdvxvHfavfzNNlXxxDUACmmPic/02x8eiD/YtM79WvB+nb9hRY7lK/FsrJCdPl3Mrbd9RQwn76DP9xz4CTk8Mx2fun8uziH7sxpWfx4IG5DNg9h2OfrSQ7Oa1Esbnljy0qCbd8sbmF+JJuH5tdmgrdw8mIuUby8YJ3PQObVufeddPpuGgsPjXDShSX8g1AS4rL+d+SFI/yzVumuruqo/MLwnR4V4n27T5mFt4fLEPLzMC4Z0uJtgXwDPElNTo3z1JjkvDMl2e3o1yVULJupHPv5y8weOWbtJ0wGKVzfOiFa6gvGXZlmRGdhKvdB2n+NJrZgiklHWe/oi/EbmoyZzgd1s+g5ui+DsdjzynEH2N0bs+WMToBp5Ciz9E8lCJs0jCipn+dd7nJzOVJn1J7zUfU27MA1xqVSFy6rsSxeYb4kmqXb6nRJStPjxBfUqKs54dmtpCdko6rryflqoagaRq9F41j4Mo3afKM43XaTf9U3WGv8n0tuLCi5BfLniG+pNidBym3cR40HtKFJ7e+R/sJg9gw1Tr0x7dqCBoa/b8dx6N/vEnEbeTbrcTGJxISFJDzf3BQALHxCcTGJxASFJi7PDB3ebB9+sAAYuMTuR1uIX6k5ztH3ULz1behvmREJeVNE5L3PC6433znflTx29hzCfEjy277rKhEXPKVpWuoH5lX89YdTra6w61SIC3Wz6LZz1Mp16I2AAZv63ut+isDabFuFg2/GI1zYMlv3JVmfVvvwbu5uOnQbW0r/lvKROMC6AFEaZrWSNO0+sBq2/LrmqY1AOYCc2zLPgDe1zQtAugPfGlbPhHYqGlac6Aj8I5SygN4GqgMNNY0rSHwnd1xEzRNCwc+BV4uIrZQoC3QC5gFoJTqBtQAmgONgaZKqfaFvQ6llD/QF6hnO/6bhR1EKfW0UmqvUmrv5rQzDmTZ7Tm5cD0/tX6JX7tNJD0umYgpD1uPr9cTFFGTLc99wso+b1CpZzNC29Yr9eN79uqMS92aJH/9Y57l+gA/AmeMI37yuzl30JLmfMWV3k9wddAodN5elHtiYKnH44ii8iywcVUsZgtLw0fxU8uXqDf8HjwrBRazt9Kjd3Om/qjeHHpnWYF1SUcu8nPzF/mj60ROfbWWu78aXboHVwq3QSPIWFJwTHVx0t97lRsvDkQZnDDUaVy6cf0NOoOO8hG12Dr9e5bcNwWfSoHUfaD9nQ6Lfc9+zKaOr7Lt/jfwb1GLig+0+1ePHzDkHm5s2ocxJt8FnUFPwCM9OXXPixyLGErGyYvW+RdlhM6gp3xETdaO+oTl/d6gWo9mOb0a/5ai6o6bAppUw5yRTfKpK/9qXDcdXLieL9uNYcvMJbR63jocTqfXU6FZTVY+/wmL+79Bje7NqPQv55twXFbsNbaGj2RXl1c5NXUhDT4dhd7TDWXQ4xoWQPKe0+zq+irJe09TY+ojdyzOWn3bENSwKvs//+OOxVBaLGhl5qesKitzLo4A7yml3gJ+1zRtq22y1s3Bu4uB921/dwHq2k3m8lZKeQLdgN5KqZuNBFegki39Z5qmmQA0TbPvt19u+70P6FdEbCs0TbMAx5VSwbZl3Ww/N8cIeGJtbGwt5HUYgExgvlLqd+D3wg6iado8YB7AgrBH8rxjaj/WhZoPdwQg4eB5PMrn3nH0CPUjPeZann2lx1zDw+6OqX2aTLuJoGe+20Tnb8ZYt4lOInbXKbKupQJwZeMh/OpXJnqb3RjrIpjiEjCE5F5UG4IDMccWvLPk1rIJ5Z4aTNTjL4Mxd/iH8nAn5ONpXPtoAVmHT+YsNyfYispoJGXFGnyGOn7h8m/kWZW+rbm6+TCayUxm4g3i9pwmoFFVUiPjuZWaQ7tQ3RZboi22m1t4lPcjI19sGTHXcLePzZbG664gPCsFcu/6GQC4h/pxz5o3WXXPVDLjr+ekj9p4CN3Mobj4eZKVlHrL2G7SriWg/IJy/tf5BaJdsytTV3d0YZXxfNU6p0P5+OH+/BukfzgF88XTxR/AZMR4YDuG8NaYju8vNnnDIV2oP9iaZ7GHz+MZmlueniF+pObLs9uRGp1E/PFL3LCV37m1+whpUh2W/unQ9pnR13Cze5+5hfqRGZ1UaJrM6CTrcDovd7KLGaqQaXttprRMrvy8nXJNqnH5x5LNQzLGJOIUmnv31yk0oGBjoQju4bXwjKhHwKM90Xm4oZwMWNIySF5lnTOQHRkDQPLv2wh+tr9D+2zwWBfq2soz7tB5PO3yzTO0ZOWZFnMNr/J+pMVY89TZy53Ma6mkRicRtesUmbY67eKmQwTWr8yVv25dp/0bdcdNVe5vyflfHO+1aDykCw1t+RZz+DxedueB1984D07+upOu0x8HICU6iSu7T5Fhy7fzmw4RXL8ykcXkm6OCA/2JicvtRYuNSyA4MIDgwAD2HDicuzw+gYgmDa09Ffbp4xMIDnSw1w2oNrQrVWzlmXToPO7l/bn5zncL9SMjOl99G30Nt/K55ekW6kdGzK2H+2XE5Dv3yxe/jb2smCRc7LZ3Ke9PVr6yzIxOwjXMnyy7uuPmMCdjtrWsUg5fIP1iLB7VQrlx6Dzm9MycCdyxv+0k7KGODsVT2vVtxbb1aP5cb5YNnI45u2TznsR/U5noudA07TQQjrWR8aZSasrNVfbJbL91QEtN0xrbfsI0TUsFFNDfbnklTdNOcGtZtt9mim5oZdn9rex+z7Q7VnVN0+YX9jpsjZrmwDKsvR+rKaGT36zn124T+bXbRCLX7KPagLYABIZXI/tGOhn5xjlmxCWTnZJBYLh1zGe1AW2JXLMPIM944Uo9m+XcMbv652F8a1dE7+qM0usIaVmb62eu4oiso6dwuisMQ1gIGAx49LybtM15PzCda1cjYMoLxIyagiXJLl6DgZA5U0n5bX2Bidv6ALsP7E6tMZ696FA88O/kWdrVREJtd/QMbi4Ehlfn+tmoYmM7vWA9K7tOZGXXiVxZvY8qttgCbhGbMSWDAFtsVQa05fKafSSfvMKyhiNZ0WI0K1qMJj06iZXdJ5EZfx1Xu+5v/8ZVUTrlcMMCwHzhFPqgMFRACOgNODXvgPGA3dODMtJIeb4/KWMfIWXsI5jPnSi+YeHiivKxlalOh6FRCyzRl4tOb+fwwvV833Mi3/ecyLk1+6jT35pnIU2qkZWSXuhY35KKPXQeF2933GxDDSq2rkeSg+cAQPLBc3hUDcG9UiDKSU9Yn1bErN2XJ03M2n1UHGjteSjfqwUJxVywKb0uZ9iUMugJ6dqElJOO5Zm99ENncKlSHueKwSgnA773tePGOseGs0W+MJvjrZ/geNuniJr+FUnLNxH91kKMMUm41qiI3s8bAK92jck869gd+CPfrGdpj4ks7TGR82v2UdtWnsFNqpFdwvK8sG4/tQdY87T6vc258tdxa9x/HsavdkUMtjotrEVth8rz36g7AFCKyr1acKEEjYuDC9ezsOdEFvacyNk1+6hny7dQ23lQ2NyKopSrHJzzd9XOjbl20dpIvLjlMAG1cvOtYsvaJJbgPChOh7Yt+XX1BjRN49DRE3h6ehAY4EebFk3Zvns/12+kcP1GCtt376dNi6YEBvjh4eHOoaMn0DSNX1dvoGPblg4f79yCdazvOoH1XScQtWovd9l6/vzCq2NMySAzX55lxiVjSsnAL9z6BKu7HmhH1Op9BfZrL3rNPire3xKdswH3ioF4Vgkh6cA5h2MdlNCzAAAgAElEQVS8ceAc7lVDcLXVHSF9/o+9+46PougfOP6Zu1x6ISEhlwSkIz30DtICiAjYkKKIqKAoIKAgEcRHFNFHERULYsGKlcdK70V6BwHpENJ7uySXu/39cUcaCbnDYOLP75tXXiS7s3Pfm9nZvdmZ3etCwuq9xdIkrN5L6LBbAKhxeyeS7Rf+DNV9wD5906N2DTzrhZB9Ic62zZr9+Hdtanu/3ZsXu0H8WiryeBvUrDa9Xx7LLw8twJTk/FPuxD9TlRi5UEqFAsmapn2hlEoFrjzH7F5sU5HuBa4cgdcAE4H/2rdtpWnaQWA1tnsoJmqapimlWmuadgBYC4xXSm3UNC1fKRVQYvTieqwG5iqlvtQ0LVMpFQaYsZVnsfdhH1Xx1DRthVJqO3B9z1K1i1p/kLDe4dy5/XUspjy2Tf2gYN3gNS/xc79nAdgZuZRub4xD7+7K5Y2HCh43227WcAKa1kbTNDKjEtkx42MA8tKyOfbBSgateAE0jagNh4haf9CxoCxWEuctwvj+PJReR8b/VmM+cwH/x0eTe+xPsjftJGDaIyhPD4Jfnw1Afkw8cZPm4D3gFtzbtkBXzRefIf2AwkfO1pj/DPoAP0CRe/IMiS+8WaXK7MTStXR7YxxDNsxHKcWpb7aQcty5D36X1x8ktE84Q35/nXxTHjumFMY2cO1LrIiwxbZ75lK6LLTFFr3xENEbrj1v9aZBHWg0ug9avoX8HDNbH3vHqbiwWjF9+TZe0+bbHkW7dRXW6Au4DX0Ay/k/yT947Q9EPv/9Atw9US4GDK27kvX6DLTMdDwnz0W5GEAp8k8cIm+j84/uPb/hIHV6hfPAVluZrX2qsMxGrnyJr261lVnXyOHcPKQLBg9Xxu56i2Nfb2LXG8sJblmP25Y8ibufJ3X7tqbT1Lv4ou8zaFaNbS8t485lM0Ep4o+c4+iyjQ7HpVmsHI5cSudlz6D0Oi4u20TGycs0nn43qQfPErtmPxe+2kSbRRPos2MB5tQs9o5/u2D7iD1v4uLtgc7VhZABbdkxfD7ZUYm2/Ax6lF5HwpajnLc/4ccpFitRzy2m3mfPo/Q6kr9dR86pSxinjiT78GnS1+3Go2UD6n4Qid7PG9++7TFOGcnJiCfKzDI/PpnYhV/T8LuX0cwW8i7Hc3Ga8230woaD1O4dzv3bbPW5flphfd676iW+GWCrzy6Rw2k01FafY3a/xR/LNrH7jeX88fVmIhY+yn1bXyc3NZPV9ifR5KZlc3DJSu759QVA48KGQ1zY4OAxze5GHTsAjJ0akx2TXO5IZ1nObjhI3V7hPLz1dcymPFYVaQejV77EZ/Z20CNyOE3s7WD8rrc48vUmfn9jOa3H9KN2t2ZYzRZy0rJYOXVxQbnt/XAl9/1qOxec3XiIs06U29Nz5rPnwGFSU9PpM/Q+Jjx0P/n5tqvV995xGz06t2frjj3cOmwsHu7uzI20Tdn08/Vh/JgRDH94MgCPPjiy4MbwWdMeL3wUbaf21/WkKIDY9Qcx9mnFgB0LsJjy2DtlccG6vmvnsS4iEoADMz+h3ULbo4VjNxwi1l6fobe2o9WLD+BW3Yeunz9N6rELbBvxCul/Xibql1302/wqWr6Fg5FLHX9SFLZjx8mZH9Pm60iUXkf0sk1knYyi/vR7SD90loTV+4j+aiPNFz1B151vYk7N5Mh4W1vz79SE+tOHoeVb0Kwax6cvId9+79+puV/SfNETuMx9gLykdP6Y/J7TZfZXj7fdnh2Bq6c7A9+bBNie1vfLQwsAuPv72fjXD8HVy52xu95i3dNLuLjFuUf4VgatCk9HqiqUVgW+aVAp1R9bZ8GK7UP6Y9iu9H8D3Ipt9GCEpmmnlVKBwDtAE2wf5rdomvaoUsoD230ZXbCNbpzTNG2QfVrSq9juhzADSzRNW1T0UbRKqXbAa5qm9VRKjbEvf0IptRTb9Kbv7XFmaprmbf99MoWdoEzgPqBBKe/jMvATtmlayv46n16rPEpOi6oqegTEl5+okmxJrlF+okriUiVrE27vH1vZIZRp6XpjZYdQpjp5zn8vx9+htpvjI1N/t21W38oOoUzeVbM6SdRXdgRlm7z/hcoOoUw/tZhd2SGUyc9aNacE/eF2fQ9L+TtMvvjF9X2hyQ00ovbQKnNWX3bhxypXPlBFRi40TVuNbTSggP2eiv9qmjajRNpEbCMZJfMwAeNLWZ4PTLX/FF1ep8jve4Ge9t+XAkvtv48psY13kd/fxHZzeVFnSr4Puw6lLBNCCCGEEP8gVfR6RJVSJe65EEIIIYQQQvzzVYmRi9IUHVkQQgghhBBCVH1VtnMhhBBCCCFEVVKVv1+iqpBpUUIIIYQQQogKIZ0LIYQQQgghRIWQaVFCCCGEEEI4QL7nonwyciGEEEIIIYSoENK5EEIIIYQQQlQImRYlhBBCCCGEA+RL9MonIxdCCCGEEEKICiEjF0IIIYQQQjhA0+SG7vLIyIUQQgghhBCiQkjnQgghhBBCCFEhZFqUEEIIIYQQDrDK91yUS0YuhBBCCCGE+BdRSgUopdYqpU7Z//e/RlpfpVSUUmqRI3lL50IIIYQQQoh/l2eA9ZqmNQTW2/8uy1xgi6MZS+dCCCGEEEIIB1ir0M9fNAT41P77p8DQ0hIppdoCwcAaRzOWey6qoFOGqvkVLb4JgZUdQpncdFV3DmTX0NjKDqFUm1YGV3YIZdIbKjuCslXVPe18rndlh1CmAQEJlR1CmY4lV6/sEErVUpdV2SGU6acWsys7hDINOTK3skMo08kOkyo7hFJVN+srOwRxnZRS44BxRRZ9oGnaBw5uHqxpWoz991hsHYiS+euA14H7gL6OxiWdCyGEEEIIIf5h7B2JMjsTSql1gLGUVc+WyEdTSpV27WwCsELTtCillMNxSedCCCGEEEIIB2hVdvz6apqmlTnaoJSKU0qFaJoWo5QKAeJLSdYZ6K6UmgB4A65KqUxN0651f4Z0LoQQQgghhPiX+Rl4AJhv//+nkgk0TRt15Xel1BigXXkdC5AbuoUQQgghhHCIFa3K/PxF84EIpdQpbPdTzAdQSrVTSn34VzKWkQshhBBCCCH+RTRNSwL6lLJ8L/BwKcuXAksdyVtGLoQQQgghhBAVQkYuhBBCCCGEcICm/XNu6K4sMnIhhBBCCCGEqBDSuRBCCCGEEEJUCJkWJYQQQgghhAOslR3AP4CMXAghhBBCCCEqhHQuhBBCCCGEEBVCpkUJIYQQQgjhAO2vf3nd/3syciGEEEIIIYSoEDJyIYQQQgghhAOsMnJRLhm5EEIIIYQQQlQI6VwIIYQQQgghKoRMixJCCCGEEMIBmibTosojIxdCCCGEEEKICiEjF/9At80Zzc29WmE25fHDU+8Tfex8sfUGd1dGvDuZgNrBWC1WTqzfz5pXvgZA7+rC3QseI6x5XbJTM/n6ibdIjUqkWs1Anlz3GolnowG4dOA0Pz37sdOxtXxxNMY+rbCY8tg3+X1Sj5y/Kk21lnVp++Z49O6uxK4/yOFZn9niruZFh8WT8KoVRNalBHaPewtzWhaBXZrQeek0si7GAxC9Yg8nFvzPqbjazB1NaO9wLKY8dk5ZTEopcfm3qEOnhY+idzcQveEQ+2fb4mo1ewRhEW2w5uWTcSGOXVM+wJyejc6gp/2rDxHQsh6a1cr+5z4nfsdxp+Jy79we/6ceB52OrB9XkP7p18XW+4y6G+8hA9EsFqwpqSS98F8ssbZyqLVrDebT5wDIj4sncepsAPShRgLnzULn50ve8T9Jem4+5Oc7FRdAjV4taTF3NOh1XPxyI6cW/VJsvc7VhTZvP4Zfy7qYUzLZM/4tTJcSMfh70/7Dyfi3qs/Fb7ZwJHJpwTZNnhlGrXu6Y6jmxW/1xzod0xXd/3M/tXu3It+Uy/qpH5Bw9PxVaTpNv4eb7+qGm58XHzR+uFjcEQsfJahFXXJSMlg9YREZUYnoXPT0fvVhglrUQel1nPxhG/ve+eWqfK/lSpkpvY4L1yizai3rkpeSyd7xb5F9KRGAhhMHU3tkTzSLlSOzPiN+02F0bga6//gcOlcXlIue6F93ceK/PzhfYDcgNoD6426l9qheoGmkH7/E/icXY801OxWXZ7d2BM58FPR60r9fSeqH3xZbX+2BO/G9ewBavgVLShrxsxaQH21rAyGLX8I9vDE5+48RM+G5gm38Rg7Gb/QduN4Uytku92BNTXe6vODGtIGuy2fhXqMalpw8AH4fPp+8ROfj8+3ZmprPPwJ6HUnL1hL3bvH9wrtjU2rOeRiPJnU49/hrpK74HQDXsCDqLZkJOoVycSFh6W8kfrEKgIbfvoihRgDWnFwATo96nvykNKdjC587mpA+4eSb8tj75OIyzgN1aG8/3sasP8Qh+/E2bFAHmj51F74NQ9kw8DlSDp0r2ObmiYOpO+IWNIuVg7M/I27TEafimjVvAVu27ybAvxo/fvH+Ves1TePlhe+zdcce3N3deOnZaTS9uQEAP61Yy2L78Xn8A8MZMjACgGMnTjHrpQXk5ObSvXN7Zj75KEopp+IC8O7RhpDnxoFOR8q3a0h8//ti6z3bNyNk9iO4N67Lpcmvkr5yOwBenVpgnPVIQTq3+jW5NOlVMtbuJOD+QVR/cDBudUI53nYklpSqsZ/5D+mO8Ym7QYO8uGTOT1qAJSXD6dhE1fWvHblQSlVTSk2o7Dic1ahnKwLrGlnQcyo/Rn7I4JdK/4C2dclvLOzzFO/cNpPabRvRqGc4AO2G9SQnLYsFPaey/aOV9H9mRME2yRfiWDQwkkUDI6+rYxHcpxXe9Yys6TyV/U99SKtXSo+t1Stj2T/tQ9Z0nop3PSPBvW2x3TxxMAlbj7Kmy1QSth6l0cTbC7ZJ3HWCDX0j2dA30umORUjvcHzqGvm16zR2T/+Idi8/WGq69vPHsvvpD/m16zR86hoJ6WWLK3bLUVb0msHKvjPJOBtL04mDAag/qjcAK/s8w8bh82k9ZxQ4c1LR6fCfMYn4STOJuWcsnv1741K3drEkeSdOE3v/Y8SOeITs9VuoNmlcwTotN4/YUeOJHTW+oGMBUG3iI2R89QMxd4zGmpGJ95BbHY+pIDZFy5cfZMfIV9nQ42nC7uiCT6OwYkluGtmTvNQs1neeypnFK2k2y7YvWXPNnHjle47958urso1ds5/Nt86+arkzavcKp1pdI190n8bGGR9xy7wxpaY7t3Y/390+56rlTYf3JDc1iy+6T+PQh6voEjkcgAaDOqBzc2FZxEy+HTibZqN641Mz0PHAdIpwe5mt7/E0NUsps9oje2JOzWKdvcya2svMp1EYNYd2ZsMt09kx8hXC5z8IOoU118y2u15kY5+ZbOwzkxq9wvFv08DxmG5gbO5Gf+o93J9N/Z9lQ88ZKL2OmkM7OxmXjqBZjxM9fhYXb38En4G9MNS/qViS3ONnuHTPRC7d8RiZq7dRfVphRzH1k++Ie+bVq7I1HThG9NhnMF+OdS6eYrHdmDYAsO/xd9jUN5JNfSOvq2OBTketF8dzevR/ON77CfyHdMe9Ya1iSfIuJ3Jh6psk/7il2HJzfAonh07nxIApnBz8NMET7sQQHFCw/vykBZwYMIUTA6ZcV8fC2Dscn3pGVnWZxv6nP6LN/NKPt23mj2XfUx+yqss0fOoZMdrPA+kno9jx0EISd54olt6nURi1hnRiTc8ZbB35Kq1ftu2Hzhg6MIL3F7xY5vqtO/ZwMSqaFd98xPPTJzH3tUUApKVn8N4nX7FsyUKWLVnIe598RVq67cPw3NcW8fyMSaz45iMuRkWzbedep2ICQKcj9D+Pcf7BOZzuPwG/22/BrUHx+jRHJxA1fSGpP28utjxr5xHODJrEmUGTOD8qEqspl8ytBwDI3vcH5++fRV5UnPMx2eOq8P1Mr6Pm8w/z57BZHO83mZzj56kx5rbri6+SWNGqzE9V9a/tXADVgH9c56JJv7YcWL4VsI0uuPt44hNUrVgac04e53b8AYDFbCH62Hl8jQH27dux/wfb9sdW7KJ+l+YVFlto/7Zc/NaWd8r+0xh8PXGvUTw29xrVMHh7kLL/NAAXv91K6IB2AIQU2b7o8r+qZv+2nP/elm/S/tO4+pURl48HSfa4zn+/lZoD2gIQu/kImsVq237faTxDbGXp2yiMuG22cs5NSicvLYuA8LoOx+XarDH5ly5juRwD+flkr9mI5y1diqXJ3XcQLdd2FTH36HFcgoPKzde9fWuy19tOQFm/rsGjZ1eHY7rCv3UDss7FkX0xHs1s4fKPOzD2b1ssTUj/dlyy11f0r7sI7GbblyzZuSTvPomllCvYKftPkxuf6nQ8RdXt15YTP2wDIO7AGdx8vfAsUZ9X1mWX8lr1+rXhhH1/OP3bbmp2bQaApoHBww2l1+Hi7orVnE9epsnhuPxbNyCzSJlFlVJmxv7tCvbx6F93EWQvM2P/tkT9uANrXj7ZFxPIPBeHf2tbJ8KSbat/nUGPzkVvC9RJNyo2pdejd3dF6XXoPVwxxaY4FZd7i5sxX4wmPyoWzPlkrtyEd+/iHRTT7kNo9ivpOYeP4xJc2OEz7TyIlnV1HeUdP0N+9HV+oLK7UW2gIni1akju+VjyLsahmfNJ+Xkrfv06FEuTFxWP6cQF0KzFlmvmfLQ820imcjWgdBX7MSB0QFsufGcrk+RrnAdcfDxIth9vL3y3lVD78TbjVDSZZ2Kuzrd/Wy79tNO2H15KIPN8HAGt6zsVW7tWLfDz9Slz/cZtOxk8oA9KKcKbNyEjI5OExGS279pH5/at8fP1wc/Xh87tW7N91z4SEpPJysomvHkTlFIMHtCHDVt3OBUTgEd4I3IvxGC+ZKvPtF+34BPRqVga8+V4ck+cB6u19EwA31u7krl5X2F7+eMs5svxTsdzxQ3Zz5QCpdB7ugOg8/YkLy75umMUVdO/uXMxH6ivlDqolPqvUupppdQepdRhpdR/AJRSdZRSJ5RSS5VSfyqlvlRK9VVKbVdKnVJKdbCne14p9blSaod9+SP25cqe91Gl1BGl1L1/NWjfYH/SogsbYnpsMr5G/zLTu/t60rhPG85sP1Zk+yQArBYrORnZePrbDrb+tYJ4/Ld5PPzNbGq3v9np2NxD/DEVic0Uk4x7iP/VaWJKT+MW5EeO/cNgTnwqbkF+BekC2jak9/qX6fLVdHxuLn71sDwexgCy7O8ZIDs6Gc8SZeZp9Ce7SFzZ0cl4GAMoqd6IW4jZcAiA1GMXCOvXBqXX4VUriICWdfEMre5wXPoagVjiEgr+zo9PQF+j7Cvl3kNuxfT77oK/lasrwZ+9S/Anb+Nxi60DofPzxZqRCfbOkKWcPMtiq8vCMrPVU0CZaTSLlfyMbFwDyj5xVxRvoz+ZRWLLjEnG+xptoCQvoz8Z9v1Us1jJy8jG3d+bM7/txmzKZey+RTywayEHFq8gNzXL4Xw9SpRZTkwyHiXKzKOMMvMICSixbRIeV9qOTtFr3TxuPfo+8VuOkHLgjMMx3cjYcmJTOP3eb/Tf9zYDDr+LOd1Ewmbnpqnog6tjji3SBmITr7m/+t45gOyte5x6jet1I9tA64Xj6bluHo2m3HFdsRmM1cmLTiz42xyThMHo+LHHEBJIkzVv0mL3R8S+txxzkQ93tV+fSONVb2CcPOy6YvMwBpBdotw8SpwHPEo5V5R2vC2eb4n6KOMY/VfEJSRhLLL/BdcIJC4hkbiERIw1Ci/sBAcVLg8umj4okLiEJJxlMFbHHFOkHcQkYgh2vD6v8BvUg7RfNpef0Im4Knw/y7dwKfJ9mqx9ixZ7P8G9US2Svl5XYTGLquHffM/FM0BzTdNaKaX6AXcDHQAF/KyU6gFcBBoA9wBjgT3ASKAbMBiIBIba82sJdAK8gANKqd+AzkArIBwIBPYopbZomnbVZRml1DhgHMCtAe1p7XMdUx9K0Ol13PvWE+xYuoqUS9e+epERn8qrXSZhSs0ktHldRn0wlbf6TSfXiSu3Fc5+gTb18HlWtZuEJTuX4D6t6PzJNNZ0mfq3h9N00hCs+RbOL7fNdT379WZ8G4bRf9WLZEUlkrj3FNo1rir9FZ639sW1SSPixhW+7+jbR2JJSEQfFkLwe69hPn0Wa6bjH4ZFcTVa1UOzWPmk3UTc/Ly484fZXNp2lPSLCeVvfCNZNTb2jcTg60mHT6bg07gmGSeiKjcmwODnRciAtqzpMBlzWjYdlkym5l1difph+w15Pe/be+PevCFRo5++Ifn/XfZNeIec2BRcvNxp/9GT1LqnO5fsV/r/LuaYRI73m4whOIB6H84k9bft5CemcX7SAsyxyei8PKj3wQwC7upF8g8b/9bYxPVxCfLH/eY6ZGzZX9mhFCh1P0vNJPD+ARy/dQp5F2KpOXccxifuIvat7yo7XIdpVXg6UlXxbx65KKqf/ecAsB9oDDS0rzunadoRTdOswDFgvWZ7DtkRoE6RPH7SNM2kaVoisBFbR6UbsEzTNIumaXHAZqB9aQFomvaBpmntNE1rV7Jj0fH+CJ5YMY8nVswjIz4Vv9DCqzW+xgDSy5iKMPTlh0k8F8vvH68qWJYel4Kf/eq6Tq/D3ceT7JQMLHn5mFIzAYg+eo7ki3EE1jWWV27UezCC3uvm0XvdPHLiUvEoEptHSAA5McVjy4lJKXbFtGia3IS0guFz9xrVyE20zffNzzQVTA2JW38QZdCXe3Ww4ZgIBqydx4C18zDFp+JVZETBMzSA7BJllh2bUjDd6UoaU2zhlbW6w3oQ1rc1O554t2CZZrFy4PkvWBURydYHF2Dw8yTjjONzvC3xieiLTHNyqRGEJT7xqnRuHdrgN3YkCVNng7lwmoUlwZbWcjmGnH2HMDRuiDUtHZ2PN+htTVtfRp7lyYlJwaNImdnqKbnMNEqvw8XHk7zkG3NTXosH+nLvqpe4d9VLZMWn4l0kNu+QADKdmI6TFZuCj30/VXodrj6e5KRk0mhoFy5uOow134IpKZ2YvX9So2U9h/M1lSgz95CAYqN0JdMULTNTTHKJbatjKtF2zOnZJG7/g2D7vUDOuBGxBfVoTvbFePKSMtDyLUSv2ENA+0ZOxWWJS8JgLNIGjIGl7q8enVsTMG4EMY/PKdYGbqQb1QZy7PtqflYOUf/7nWpOTu0BMMcm4RpaeMXcEFIdc6zzV8zNccmYTl7Eu0Mze76292fNMpH84xY8WzW81uYF6o+JoO/aefS1H289S5RbyX3Ztq8VPw8UPd6WxhRboj5Cy9/GWcFB1Yktsv/FxScSHBRIcFAgsfGFFxniEgqXxxVNn5BIcJDzIw7m2CQMIUXaQUgg5jjn6tPvtu6kr9kB+RanX/9acVX0fubZzDZ1OO+C7VyZ+us2vNo2rpiARZUhnQsbBbysaVor+08DTdM+sq/LLZLOWuRvK8VHfkp2ZSusa7vr87UFN1ofX7OX1nd2B6BW6wbkZpjISLh6Xnnfaffg5uPJihc+L7b8+Np9tLnLtn2zgR05+7ttupRngA/KfnOcf60aBNYxknyx/LmaZz9ZW3Cjdcyqvdw0zJa3f5sGmDNMBdOcrsiJT8WcaSq4KfWmYd2JXr0PgJg1+wu2v2lYd2Lsy4tOj/JvXR+lVLkn8FNL17IqIpJVEZFcXrWXOnfb8q3epgHm9DLiyjBR3R5Xnbu7E2V//ZCeLWkyYRBbxryOxZRXsI3ewxW9hxsAxh7N0fKtpJ+6XG6ZXZH3xwkMtcLQhxrBxQXPfr0wbfm9WBrDzQ0IiJxCwtTZWFMKY1Y+3mAwALapUG7hzTCfvQBA7t6DePa5BQCvQf0wbS6epyNSD57Bq54Rz5uCUAY9YUM7E7tmX7E0sWv2UcteX6GDOpJon3p3Ixz5dB3fDHiWbwY8y9nV+2h8VzcAglvXJy8ju9R7K8pybu1+Gtv3hwa3dSBqu+2+mczLSQX3X7h4uGFs3YCU09EO55t68AzeRcqsZhlldlMpZRa7Zh81h3ZG5+qC501BeNczknLgNK7VfTD4egKgczcQ1KMFGU7EdCNjM0Ul4t+2IXoPVwCCujcj04n9HyDn6EkMtcNwCQsGgwvet/Yka+POYmlcm9SnxpxJxDwxB0uy8zcYX68b0QaUXldwYUS56DFGtCbjxCWnY8s6dAq3OiG41qqBMrjgP7g7aWt3l78htqkuyt1WZ3o/L7zbNyHn7GXQ69Dbp8jiosevT3tyTl50KM8zS9eyLiKSdRGRRK/cS+17bGUScI3zQH6GiQD78bb2Pd2JXrXvqnyLilm9j1pDOtn2w1pBeNc1knwdUwSvpWe3Tvy8aj2apnHo6HG8vb0ICgyga8e2/L57P2npGaSlZ/D77v107diWoMAAvLw8OXT0OJqm8fOq9fTq1qn8FyrBdPhP3OqEYqgZjDK44DeoBxnrdjmVh9/tFTslCm7MfmaOTcajYS1cAnwB8OneipzTlT8S6wyrplWZn6pK/Vu/DEQpVR3Yr2labfu0qLlAH03TMpVSYYAZ8AR+1TStuX2bpfa/v1dK1bmyTin1PLbpUQXTouy/dwLGAwOBAGAv0FHTtGte3n62zshrVsrtL4yh4S3hmE25LH96MZeP2B7V98SKeSwaGImvMYAZOxcRf/oyljzbVb6dn65h7zebcHEzcPeCCYQ2q40pNYuvJ75NyqV4mg1oT5+p92DNz0ezaqx/4wdOrC8+vNo2p/xyDX95DMG9wrGYctn35GJS7Y8R7L1uHhv6RgJQLbwubd98FL27K3EbDnHI/phGV39vOnwwCc+wQLKjEtk17k3MqVnUG9uPeg/0xZpvwZqTx+E5X5C891Sx180t56khbeeNIaRnSyymPHZNWUzyYVtcA9bOY1WELa6AlnXpuND2iNyYjYfY9+ynAAza/jo6NwN5KbaRncR9p9n7zMd41Qyk57IZaFYNU2wKu6YuIfvy1Vddu4aWXTzjxPsAACAASURBVN3uXTvgP/Vx0OvI+nkl6R9/hd/4MeQdP4lpyw5qvPMqhgb1sCTarhZdeeSsa8umBEROAasGOkXGsuVk/bQSAH1YiO1RtL4+mE+eJnH2y6Ve7T0QFXzNMqvRpxUtXrgfpddxcdkm/nzzJxpPv5vUg2eJXbMfnZuBNosm4Ne8NubULPaOf5tse4c0Ys+buHh7oHN1wZyWxY7h88n48zJNZ4+g5h1dcDfa5uxf+GoTJ1+7+tGqlwzXvu7R48UHqN2zJfmmPNZP+4B4e33eu+olvhnwLABdIofTaGgXvIKrkRWXyh/LNrH7jeXo3QxELHyUwOZ1yE3NZPXji0i/mIDB040+r4/Dv2EYSimOf7uFA4t/u+q1a5rLnvoWXKTMLpRRZm2LlNmeImXWaPIQao/oiTXfwpHnPid+wyF8m9SizVuPofQ6lE5x+eednHTyaWk3KjaAxk/fRdjgzmgWC2lHznNg2hKseVc/9rh5QNlXOz17tCfwmUdROh3p/1tDyuJlBDwxmpxjf5K9cSehH83HtWEdLIm2q9T50fHEPPE8AGGfv45r3ZooTw+sqenEz36D7O378LtvCP5j70EfGIAlOZWsLbtJeG5hqa9/LLnsK80V3QayoxLp9r/nUAY9Sq8jYctRjs753NaOS6hluPYUR99eban5/EMovY6kb9YT+/Z3hEwbSfbh06St3Y1neAPqLZmJ3s8bLTcPc3wqx/tOxKd7ODVnj0XTNJRSxC/9jaSv1qDzcKPR9/NQBhfQ6cjYdoioFz4u9Qbis/ne14yt1bwxGHvZjrd7pywueJxs37XzWGc/3vqH16Wd/Xgbu+EQB+3H29Bb29HqxQdwq+6DOT2b1GMX2DbiFQAaTx5CneG3oOVbODTnC2Lt+2FRQ47MLTOup+fMZ8+Bw6SmplM9oBoTHrqffPtjuu+94zY0TeOlBe+ybedePNzdmRs5heZNbKNxy39dzZLPvgFg3APDueO2fgAcPf5n4aNoO7UncupjZT6K9mSHSWXG5t2zHSGzH0HpdKR8t5aEd7+lxpOjMB05Rcb63Xi0bMhN7z2L3s8ba24e+QkpnB7wOACGsBrU++6/nOw6ptgDHwIeuJ2gcXfhEuRPflIqGZv2Ej3z7ateO8+sLzOuit7PAALvG0CNsYPQ8i3kRcVzfupbWFJLv2DY5tJPzj/X9wbrEdanynxw3nJ5fZUrH/gXdy4AlFJfYbtXYiUQBVx5xmEmcB9gwfHORT1sU6kCgVc1TVuibEeYV4FbsY1kvKhp2jflxVVe56KyONK5qCzldS4q07U6F5WpvM5FZSqvc1GZrtW5EKW7Vueisl2rc1GZyutcVKbyOheV6Vqdi8p2rc5FZbpW56KySefi2qpq5+LffEM3mqaNLLHozVKSFTyrVdO0MUV+P190HXBY07TRJfLXgKftP0IIIYQQ4h+syvQsqrCqe3lQCCGEEEII8Y/yrx65qCiapj1f2TEIIYQQQghR2aRzIYQQQgghhAOsMjGqXDItSgghhBBCCFEhpHMhhBBCCCGEqBAyLUoIIYQQQggHyLSo8snIhRBCCCGEEKJCSOdCCCGEEEIIUSFkWpQQQgghhBAOsH0/srgWGbkQQgghhBBCVAgZuRBCCCGEEMIBckN3+WTkQgghhBBCCFEhpHMhhBBCCCGEqBAyLUoIIYQQQggHaDItqlwyciGEEEIIIYSoENK5EEIIIYQQQlQImRYlhBBCCCGEA+R7LsonnYsqyKCpyg6hVP0nV93d5eXF5soOoUz9QvIrO4RS5VyumvsZQLy+6h686+ZVzdhyVdWtT5/gnMoOoWzJlR1A6S6ZvSo7hDL5aVXzmAZwssOkyg6hTDfvfquyQyjV9y1nV3YIZWpT2QGI6yLTooQQQgghhBAVoupeihZCCCGEEKIKkS/RK5+MXAghhBBCCCEqhIxcCCGEEEII4QC5obt8MnIhhBBCCCGEqBDSuRBCCCGEEEJUCJkWJYQQQgghhAPkhu7yyciFEEIIIYQQokJI50IIIYQQQghRIWRalBBCCCGEEA7QZFpUuWTkQgghhBBCCFEhpHMhhBBCCCGEqBAyLUoIIYQQQggHWOVL9MolIxdCCCGEEEKICiEjF0IIIYQQQjhAbugun4xcCCGEEEIIISqEdC6EEEIIIYQQFUKmRQkhhBBCCOEAuaG7fDJyIYQQQgghhKgQMnLxD3Tr86Np2CscsymPH59aTMzR81el6f30PYTf2R0PPy/mNX2oYLlfaHWGLngUd19PdDod6175mlMbDwEQ3LgWg15+CDdvDzSrxpLBs8nPNTsUk75eC1z7jgKdjvyDmzHv/K3YepcW3XDtfS/WjBQA8vetJ//QZgCUbwBuAx9C+QQAGjnfLkBLS0T5BeI2dALKwxtrzHlyf1kMVovzBQbcNmc0jXq1wmzK44en3ifm2Pmr0vR9ahit7+yOu58Xc5uNLVheLSyQO14dh1eAL6a0TL578l3SY5MB6PfMcG7u1RqAjW//j6O/7nQqLkObDng9MhF0OnLW/kbO918VW+82YDDut90BVgtajomsRa9huXQBXQ0j1d79DMvliwDkn/yDrHcXAKCv3wjvJ2eiXF3J27eL7A/eciqmolrPHU1In3Aspjx2P7mYlCPnr0rj37IOHRY+it7dQMz6QxyY/RkA4bNHENqvDda8fDIvxLH7yQ8wp2cT3KM5LZ8djs7ggtWcz6EXviJ++x9OxTVwTmEb+N9Ti0utzz5P3UMre32+1KxIGwgL5I5XH8HTXp8/PPleQX0CuHl78MTaVzmxZi+/zfnUqbiCeoXT9MXRKL2OS19u5MzbPxdbr3N1IXzRBPxa1iUvJZMD497EdCmRwB4taDxrOMrVBS0vn+MvfEXStmMAhAzpRIMn70DpdMSv3c+JF5c5FVNRLV8cjbFPKyymPPZNfp/UUuqzWsu6tH1zPHp3V2LXH+TwLFt9Gqp50WHxJLxqBZF1KYHd497CnJblcL5lcW3fAZ8nJoJeh+m338heVrwNeNw+GI+h9jZgMpH++mtYLlwAwHPkKDwGDgSLlYxFb5G3Z49t+d334HHbbaBp5J89R9or88Gc53R51ejVkhZzR4Nex8UvN3Jq0S/F1utcXWjz9mP4tayLOSWTPePfwnQpEYO/N+0/nIx/q/pc/GYLRyKXFmzTdfks3GtUw5Jji+f34fPJS0z/22IDaDhxMDeN7AkWK4dnfUbCpsMA1Ht4ALXv6wVKceGLDZxdssrpuKr3CufmF8eg9Douf7mB82//VGy9cnWh+aLH8W1ZD3NKBofHvUnOpQTcawXRZesCss9EA5C27xTHp39o28agp/HLY/Hv0hSsGqdf/pr433Y7HZt3jzaEPDcOdDpSvl1D4vvfF1vv2b4ZIbMfwb1xXS5NfpX0ldsB8OrUAuOsRwrSudWvyaVJr5KxdicB9w+i+oODcasTyvG2I7GkOF+Xs+YtYMv23QT4V+PHL96/ar2maby88H227tiDu7sbLz07jaY3NwDgpxVrWfzp1wCMf2A4QwZGAHDsxClmvbSAnNxcunduz8wnH0Up5XRsAG3mjia0t+08sHNKGeeBFnXoZD8PRG84xH77eaDV7BGERdjOAxkX4tg1xXYe0Bn0tH/1IQJa1kOzWtn/3OfE7zh+XfGJqkdGLopQSmVWdgzladgrnIC6Rt66ZRq/zPyI2158sNR0f647wJIhz121vMfEoRz7dSeLBz7L9xMXcdtc2/Y6vY47F07g18iPeTdiBkvvfRGLOd+xoJTCtd9ocr59HdMHM9E37YSqHnpVsvzju8n5+DlyPn6uoGMB4DZoHHk7V2BaMhPT0v+gZdkOzq697sW8ezWm96ej5WThEn6LY/GU0KhnK6rXNfJGz6n8GPkhg18aW2q6E+v3896Q2VctHxA5ioPLt7Lo1mfY+OZy+k2/15Zvr1aENqvLOwNn8v7Q5+j2yG24eXs4HphOh9ejT5L+/HRSH38Atx590NeqXSxJ3uZ1pE18kLTJD2P6YRmeDz1esM4Se5m0yQ+TNvnhgo4FgPeEqWQt+i+p40ehD62JoW1Hx2MqIqR3OD71jKzoMo29T39E2/ml72tt549l71MfsqLLNHzqGTH2DgcgdstRVvWcweo+M8k4E0uTiYMByE3OYOvo11jd+xl2T3qfjm8/5lRcDXuGU72ukTd7TuPnyI+4/aXS4zq5/gCLS2kD/SNHcnD5Nt69dSab3vwffe31eUXvaXdzYfcJp2ICQKdoNv9Bdo98hc3dnyL0ji54NworlqTWyF6YU7PY1GkK5xavoPHskQDkJWew5/7X2NpzBgcnvUerRRMAMPh70+S5Uey6+0W23PI0bjWqUb17M+djA4L7tMK7npE1naey/6kPafVK6e2g1Stj2T/tQ9Z0nop3PSPB9vq8eeJgErYeZU2XqSRsPUqjibc7lW+pdDp8Jj9J6jPTSRrzAO59+qCvXbwN5KxfR/JDD5L8yMNkf70Mnwm2NqCvXRv33r1JenAMKTOexmfyFNDp0AUG4nnnXSSNH0fS2AdBr8O9d2/nC0ynaPnyg+wY+SobejxN2B1d8ClRnzeN7EleahbrO0/lzOKVNJs1AgBrrpkTr3zPsf98WWrW+x5/h019I9nUN/K6OhZ/JTafRmGEDe3Mxlums2PkK4TPfxB0Cp/GNal9Xy+23DqbTb2fwRjRBq86wU7H1Xj+WA6MfJnfu0/FeEdXvErEFTayN/mpWWzvNJkLi1fQ0N4GAEwX4tjZZwY7+8wo6FgA1H3yTvIS0/m9yxR+7z6NlOv5EKrTEfqfxzj/4BxO95+A3+234NagVrEk5ugEoqYvJPXnzcWWZ+08wplBkzgzaBLnR0ViNeWSufUAANn7/uD8/bPIi4pzPia7oQMjeH/Bi2Wu37pjDxejolnxzUc8P30Sc19bBEBaegbvffIVy5YsZNmShbz3yVekpWcAMPe1RTw/YxIrvvmIi1HRbNu597piC+kdjk9dI792ncbu6R/R7uXSj7ft549l99Mf8mvXafjUNRLSq/A8sKLXDFb2nUnG2Via2s8D9UfZ2uTKPs+wcfh8Ws8ZBdfZ+fm7aVXoX1UlnYt/mJsj2nLoh60ARB04jbuvJ941ql2VLurAaTLjU69armlawQdgNx8PMuJtIwn1e7Qg7sRF4o7broSbUjPRrI7tuLrQelhT4tBSE8BqwXJ8Fy6N2ji0raoeCjo91vO2q7SYcyHfdkVPX7sJlhO2K5H5R7ehdzDPkpr0a8vB5UXKzMcT76Ayyizh6jILahjG2d9t8Z3d8QeNI9oCUKNhTc7vPoHVYsVsyiXuxEUa3tLS4bhcGjbBEnMZa1wM5OeTu2UDho7diqXRTNkFvyv38jsuyj8A5elJ/knbSEDuhtW4dupWzlalCxvQlvPf2cotaf9pDL6euJfY19xrVMPg40HS/tMAnP9uKzUH2MonbvMRNIu1YHvP0AAAUo9eICfOVs5pJ6PQu7uic3V8ELXxX6zPGkXq81yR+gQIaV4H70A/Tm894nA8V1Rr04Dsc7GYLsSjmS1E/7iD4AHtiqUJHtCWqG+3ABD7yy4CuzUHIP3oeXLjbG0x80QUOnuZeNauQda5WPKSbB8YErccIeS26+sshvZvy8VvbeWWcq369PYgxV6fF7/dSqj9PYQU2b7ockfyLYuhcRMs0ZexxNjaQM6GDbh1LdEGsku0Afthya1rN3I2bACzGWtsLJboyxgaN7Gt1OtRbm6gs/1vTUp0tJgK+LduQNa5OLIv2urz8o87MPZvWyxNSP92XLK/9+hfC+vTkp1L8u6TWBwc+f07YzP2b8vlH3dgzcsn+2ICWefi8G/dAJ+GYaTsP43FlIdmsZK44zght7V3Ki6/Ng3IPhdX0AZif/ydoAHF8wga0I7ob20f3uN/2UmAPa5rCRvRk3Nv/Wj7Q9MwJ2c4FReAR3gjci/EYL4Uh2bOJ+3XLfhEdCqWxnw5ntwT58FqLTMf31u7krl5H1pOLgA5f5zFfDne6XiKateqBX6+PmWu37htJ4MH9EEpRXjzJmRkZJKQmMz2Xfvo3L41fr4++Pn60Ll9a7bv2kdCYjJZWdmEN2+CUorBA/qwYeuO64qtZv+2nP++8Dzg6ufAeeD7wvNAbNHzwL7TeIbYzgO+jcKI22Y/TyWlk5eWRUB43euKUVQ9/687F0qp+Uqpx4v8/bxSapZSar1Sar9S6ohSakgZ2z6tlNqjlDqslPqPfVkdpdRxpdQSpdQxpdQapZSHfV0DpdQ6pdQhe971y8rnr/A1BpAenVTwd3psMr7B/g5vv2nhclre0Y2pO99m1NLprHjONu2jet0QNA3u+2wG4397ka7jBzmcp/L2R0svnFaiZSSjfK6OSX9zOzweehG3O56wT4ECXYARLTcbtzsn4v7gCxh63Wu7euHhjZabDZrtoKSlp6ArJU9H+AT7kxZdGF96bDK+Rsfzij1+gaYDOgDQtH973H088ajmTezxCzS8pSUGd1c8/X2o27kZfiHVHc5XVz0Qa2LhScmalIC+euBV6dwGDqXaB1/hOeZRsha/WbBcHxyC38IP8X35TVyatrTnGYQlMaEwz8QEdKXk6QgPYwDZRfY1U0wyHiHFy80jxJ/sImWbHZOMhzHgqrzqDr+FmA2Hrlpe87YOpBw5jzXPwVEywDc4gLSSbcCp+rxIU/sHnib92+Hu44FHNW+UUgyYNYrVL31VTg6lczf6YyoSV050Eu4l4nIPCSDnsi2NZrFizsjGEFD8Q4VxUAfSj5zDmpdP1rk4vOqH4FErEKXXEXxrO9zDri5fh+IL8cdUpK5MMcm4h5SMzx9TTOlp3IL8yLFfsMiJT8UtyM/hfMuiCwzEGl+kDSQkoA+8en/1GDqU6l98hff4R8l429YG9KVsqwsMxJqYSNa3XxP4zbcE/bAca1YWeXudv2pre1/F93/3kIAy02gWK/kZ2bgGlP0h8YrWC8fTc908Gk25w+m4/mps7iEBJbZNwj3En/QTl6jesTEGf2/0Hq4E92mFR6jjxzMAN2MAuUXyzo1Owq2cNpBfpA143BREx3Xzafe/OVTr2BgAF19PABrMGEbHtfNpuWQKrvZ9zxkGY3XMMYXHxvyYRAzBzr0/AL9BPUj7ZXP5CStQXEISxhqF7SK4RiBxCYnEJSRirBFUuDyocHlw0fRBgcQlJHE9PIwBZBWp0+zoZDxL1Kmn0Z/sIseN7OjSzwP1RhSeB1KPXSCsXxuUXodXrSACWtbF08n9TVRd/687F8A3wLAifw8DPgXu0DStDdALeF2VmIiolOoHNAQ6AK2AtkqpHvbVDYF3NE1rBqQCd9mXf2lfHg50AWLKyacYpdQ4pdRepdTefZmn/+r7LlOLwZ05+P0WFnSayJdjXuXOhRNQSqFz0XFT+0Ysn/wOH9/1Ao0HtKNu1+ubflGa/NMHML07DdNHs7CcO4rbIPv8VZ0Ofc1G5G34mpylz6OrFoRLi+4V9roVYdVLX1KnY2Mm/DaPOp2akBaThGa1cnrrEf7ceJBxy59n2FtPcGn/KazXuOJ1vXJX/EjquJFkf7oYj3tHA2BNTiJl7DDSnnyYrA/fwfup2SgPzwp/7YrQZPIQNIuFCz9sL7bct1EY4bOGs3f6R39rPKtf+pI6HZvw2G8v2eszGc1qpf39fTm18VCx+y/+bt4316Tx7JEceco2JSQ/LYujMz6m9QeT6fzzHEyXEguuAla6v3FE3vTjjyTdN5LMDxbjdf/oa6ZV3t64d+lG4ojhJNx9J8rdHfe+EX9TpOXbN+EdNvZ6hm1DXqB6x5updU/VON5lnorm1KJf6PL1TDp9NYO0Yxf+1n0tNy6FrW0eZ1ffZzg55zNavDcRvbcHykWPe1ggqXv+ZFfEM6Tu/ZOGc+772+IqyiXIH/eb65CxZX+lvP4/WdNJQ7DmWzi/3HYeOPv1ZrJjkum/6kXavHA/iXtPod2A8+eNYNW0KvNTVf2/vqFb07QDSqkaSqlQIAhIAWKBN+wf8q1AGBBsX35FP/vPAfvf3tg6CReBc5qmHbQv3wfUUUr5AGGapv3P/ro5UNBJKS2fLaXE+gHwAcDztUcV22Paj46g7fBeAFw+fBbfIr17X2MA6fbpFI5ofW9Pvhj9CgBR+0/j4mbAM8CH9JhkLuw6QXaK7baTUxsPEtK8Due2Hys3Ty0zBeVbeJVC+QSgZZSIyZRV8Gv+oc249rLNc9cyUrDGX7RNqQIsp/ajC60Ph7eg3DxB6UCzonz9C24Gd0TH+yNoN8JeZofO4hdaGJ+vMYD0WMfzyohPZdmjCwFw9XSj2YD25KTbpmpsfucnNr9ju2HxnjcfJ+lsbJn5lGRNSkQXWKPgb131ICzXmL6Rt2U9Xo9NIQsg34yWYZtyYTnzJ9bYy+jCatlGPwILr2TpAoOcmhLSYEwE9UbZyi350NliV5I8QgIwxRQvN1NMSsF0JwDPkABMRT6c1xnWg9C+rdk0bF6x7TxCAuj28RR2TXqfrAvlTynocH8EbYvVZ4k24GR9fl2kPpsO6EBOeja12jSkdvubaX9/X1w93dEbXMjLzmHtK984lG9ObEqxK73uodXJKRFXTkwy7mHVyYlJRul1GHw8C6Z4uIcE0PaTqRx64l2yi5RJ/Jr9xK+xfZipdX9vpz7w1Xswgjr2+kw5eBaPInXlERJATkzJ+FLwCCk9TW5CGu41qpETn4p7jWrkJqYVblNOvmWxJiaiq1GkDQQFYUkse3/N2bAenyenAGApZVtrYiKubdthiY1BS7PFl7t1K4bmzclZt9ahmApeK6Z4fdreV3Kpaa7Up4uPJ3nlTNm5sk/kZ+UQ9b/fqda6Ppfs0w//jthyYpJLbFu9oL4uLtvExWWbAGgy815MMc5d7c6NTcatSN5uodXJLaMN5BaJ60obMOfZzj8Zh8+Rfd42apd+6CyW7JyCG7jjftlJ2MheTsUFYI5NwhBSeGx0CQnEHOfc+/O7rTvpa3ZA/vU9WOR6BQdVJza+sF3ExScSHBRIcFAgew4cLlyekEj71i1tIxVF0yckEhzk+KhAwzER1LcfN5IOnsUrtDpXcvMMDSC7RJ1mx6YUTHe6kqboeaDusB6E9W3NhnsLzwOaxcqB578o+Lvvz3PIOOP4+VNUbf/fRy4AvgPuBu7FNpIxCltHo62maa2AOMC9xDYKeFnTtFb2nwaapl25vJpbJJ2Fa3fQrpWPw/Z8tpb3B0by/sBITqzZS/hdtitdNVs3IDfDVOq9FWVJi06iXlfbHNfABqG4uBnISkrn9ObDBDeuhcHdFZ1eR52OTUg4ddmhPK3R59D5B6P8AkGnR9+kI/mnDhRLo7wKh7H1DdtgTbI9EcQacxbcPMHDNiyuq90Ua6JtneXCcfSNbdNXXJp3w3LK8atFuz5fyzsDI3lnYCR/rNlLqztLlFkpc/HL4unvU/CUjR4ThrDfPl9Y6RQe1bwB25O2jI1v4vTWw2XmU1L+qRPoQ2uiCzaCiwtuPXpj3l386r4upPBmSEO7zlijo2yv7esHOlvz1QWHoA+tiTU2Gi0lGS07G5ebmwLg1rs/eTu3ORzT6aVrWRMRyZqISC6v3Esd+1XV6m0aYM4wFUyLuSInPhVzhonqbWxPLqlzT3cur9oHgLFXSxo/PohtY17HYip8Uo/B15Menz/FoXlfk7jnT4fi2v35Wt4bGMl79jZQtD5znK5P74L67D5hMAe+3QTAD0++y4Kuk3mj25OsnvcVh5ZvdbhjAZB24Axe9Yx43BSEMugJHdqZuNX7iqWJW72PmsNsg5fG2zuSaH8ilIuvJ+2/nM7JF5eRUqJMXAN9bWn8vKg9JoJLX25wOKazn6xlQ99INvSNJGbVXm4aZis3/2vVZ6YJf3t93jSsO9H29xCzZn/B9jcN605MwfJ95eZbFvOJE+jDaqIz2tqAe+/e5P5evA3owwrbgGunzlgu29pA7u/bbTdqGwzojEb0YTUxnziOJT4OQ9Om4OZm26ZNG/LtT5dyRupBW3162uszbGhnYtcUr8/YNfuoZX/voYM6kljOxRil1xVMm1IueowRrck4celvjS12zT7Chna23dNzUxBe9YykHLCNll/Z1zzCqhMysD1Ry393Kq70A2fwrGfE3R6XcWgXElYXn5KWsHovocNsD+eocXsnku1twFDdB3S2dulRuwae9ULIvmC7STphzX78u9qOaQHdm5P1p2PnpqJMh//ErU4ohprBKIMLfoN6kLFul1N5+N3+90+JAujZrRM/r1qPpmkcOnocb28vggID6NqxLb/v3k9aegZp6Rn8vns/XTu2JSgwAC8vTw4dPY6mafy8aj29unUq/4XsTi1dy6qISFZFRHJ51V7q3F3kPJDuwHng7u5E2Y8PIT1b0mTCILaUOA/oPVzRe9jaqLFHc7R8K+kOfuaobJV9E/c/4Ybu/9cjF3bfAEuAQOAWbFOj4jVNMyulegG1S9lmNTBXKfWlpmmZSqkwoMw78zRNy1BKRSmlhmqa9qNSyg3Ql5WPpmnXfffXqQ0HadirFZO2LMBsyuOnpxYXrHt0xTzeHxgJQMTMEbQY0gWDhytTd77N/q83smnhcta8+CW3z3+YTg8NAA1+nGbbPic9mx0fruSRX+aCpnFq4yFObThYagxXF4CVvLWf4z78aVA68g9vQUu8jKH7HVhjzmM5fQCXdv1wadgazWqBnCxyf/3wSuGRt+FrPEbOAMASe578g5sAyNv0LW5DJuB6y11YYy+Qf+iqAR+H/LnxII16tWLq5jfIM+Wy/OnCMnt8xTzesZdZ/2dG0NJeZk/veJt932xiw8IfqNupCRHTh4OmcX73CX557hMA9AYXHvnO9jSi3EwT3015F6sz0wisFrLeX8j/sXff4VGUXQOHf2fTISQktEQQqSJILwKKSpFiV8SGBTt2rH9NHwAAIABJREFURQVF7A17w957e3ntIh0L0kFAqnQEEiAJJSE9e74/ZtIggYSPlxnw3NeVi+zM7Obw7OzOPO08MQ8/C4EAORPHULB+LVGXXEX+imXkzZpG5Bn9CWvbAfLz0YwMMl4cCUBYyzZEXXIV5OeDKhmvPo9mOK1/Ga+/QPTt9yDhEeTNnUne3MpdQAslTZpPYq+2nD79efKzcpk1pLjc+kx4gvG9nXKbO/x9Or/opC5NmrygaExt+8cHERIexslfDAecyYBz736Pplf1IbphHY4d0p9jh/QH4NeLniQntWJZc/6e4nwGbv/V+Qx8U+L9vGHME7zuvp997in+DNw5fRTzvpzClBe/pkGXFvQediGqyrpZy/jxgQ/2q3x2pwVBFg3/gOO+GI6EBNjw+S9kLN/A0cMGsH3BGraMm8s/n/1C21dupPuMF8jbnsG8waMAaHB1X6o0rEOTO/vT5E6nTGZdOJLclJ20eGwQMS3qA7Di+a/ZVYnesZKSJ86nTq+29JnxAgVZOcy9vbjcek58gsmnOOU2/5736PDS9YREhrN58gI2T3K+B/4e9T3HvXUrDQb2IHNDCjOve2mfr7tPwQLSX36RuKedz0D2z2MoWLuWqldeRf7yZeRMm0aVc/sT3qEDmp+Ppmew40nnM1Cwdi05U6ZQ4/0PoaCA9JdehGCQ/KVLyf71V2q89TYUFJC3YiVZP/6wj0D2pAVBFt77AV0/vwcJCbD+819IX76RY4YNYPv81SSPn8e6z36h/Ss30mv68+Rt38Uc9/0E6D37JUKjowiEh5LYrwPTL3qSzA0pzuuFhSAhAbb+toi1n1S8snggYktfvpFN38+g52/PoPkFLBz+PrjJO45753bC46MJ5jnb83dm7iWKsuNaPvw92n9xLxISYNPnv7Br+QYaDzufnQtWs3XcXDZ9NoWWr9zMCTNeIm97Bn8Nds6juC7NaTzsAjS/AA0qS4e9Tf52p8d7xaOf0vKVmwl9dBC5qTtZctvrlS4zCoJseugNGnz4CBIIsO0/E8hZsZ7at19C1l8rSJ80i6jWTan/+ghCYqOp1us4at82kJX9nGmbYXVrE5ZYi10zF5V62fhBZ1LruvMIrRVHkzGjSP9lDpuGjyorgnINffBJZv+5kO3bd9LrnEu58erLyM935qFdeO7pnNS1E79Pn82pF1xFVGQkj97r9N7FxlRj8BUXc9E1twFw/ZUDiyaG33fnTcWpaLt04sSulZucX2iTex04Y9rzFGTlMrPEdaDfhCcY614H5pS8Dkwpvg50eHwQgYgwenzpXAdS5q5kzj3vEVkjhu6f340GlazkbUy/ZT/eU+Nboj4es3WgiMhfQIqq9hCRmsAPOEOU5gBdgFNVda2IZKhqtPuc24Br3JfIAC7F6an4UVVbusfcBUSr6kMi0hR4E6cSkwecr6qry3odVV21t3h3HxblF0Ov929ddOSb/5usLAfCkFb+bI2ZOKee1yGUa3GE1xGUr3OWP8cF5/g4jeMJzf35GQCYsbTuvg8ypVTRgzssqDISq+7a90EeaTZr/9cc+l8a3XrPFOx+cfGmT333xda0Vgff3KOt2DrXd+UD/46eC1S1VYnfU4Cu5RwXXeL3l4CXyjisZYljni3x+wpgj2Tqe3kdY4wxxhhzCPHzRGq/+DfMuTDGGGOMMcYcBFa5MMYYY4wx5l9EROJFZIKIrHD/LXOBIhGp767rtlRElohIg329tlUujDHGGGOMqQCvM0QdwGxR9wCTVLUpMMl9XJaPgGdUtTnOum37TEpklQtjjDHGGGP+Xc7GWVga999zdj9ARFoAoao6AUBVM1R1n2nkrHJhjDHGGGPMIUZErhOROSV+rqvE0+uoapL7ezLOgtK7OxrYLiJfi8ifIvKMiITs64X/FdmijDHGGGOM+f9S9U86clV9C3irvP0iMhFIKGPXiN1eR0WkrHFWocCJQDtgPc7acVcAe10Q2ioXxhhjjDHGHGZU9ZTy9onIZhFJVNUkEUmk7LkUG4D5qrrafc63OOvD7bVyYcOijDHGGGOMqYAg6puf/6fvgUHu74OA78o4ZjZQXURquY97Akv29cJWuTDGGGOMMebf5Umgt4isAE5xHyMiHUXkHQBVLQDuAiaJyF+AAG/v64VtWJQxxhhjjDH/IqqaCvQqY/sc4JoSjycArSvz2la5MMYYY4wxpgJU/9/DkQ57NizKGGOMMcYYc0BY5cIYY4wxxhhzQNiwKGOMMcYYYyrgAGRpOuxZz4UxxhhjjDHmgLDKhTHGGGOMMeaAsGFRxhhjjDHGVIBli9o3q1z40DvpC7wOoUwDP6rndQjlOiWrmtchlCuywxFeh1CmLhs3ex1CuSanxXkdQrnyJczrEMq0M8S/HdFVO8Z7HUK5Mpb7s9wGjL3M6xDK9cYZH3sdQrlq5IV4HUK5Rre+3+sQyjRg4aNeh2AOM1a5MMYYY4wxpgKC1nOxT/5ssjHGGGOMMcYccqxyYYwxxhhjjDkgbFiUMcYYY4wxFaC2zsU+Wc+FMcYYY4wx5oCwyoUxxhhjjDHmgLBhUcYYY4wxxlSArXOxb9ZzYYwxxhhjjDkgrHJhjDHGGGOMOSBsWJQxxhhjjDEVELRsUftkPRfGGGOMMcaYA8IqF8YYY4wxxpgDwoZFGWOMMcYYUwGWLWrfrOfCGGOMMcYYc0BYz4UxxhhjjDEVELSei32yngtjjDHGGGPMAWGVC2OMMcYYY8wBYcOijDHGGGOMqQCb0L1v1nNhjDHGGGOMOSCs5+IQ9MjI4fTsfSJZWdkMuWkEixYu3eOYsLBQHnt6BF1P6EQwGOTpx19mzA8TufbGy7n4svMoyC8gNSWNO2+5n40bkgBYt3UBy5asAGDjhiSuuuSWSsVVpVsHat97AwQC7Bg9lm3vfFVqf/VB/Ykd0BcKghSkbSf5vhfI37QFgJizTyH+hosBSHv9c3Z+NxGAum89RmiteAgNIWvOIrY8+ioEg5WKK75HW5o8diUSEiDp00msH/Vtqf0SHkrzV26hWutG5G1LZ8l1L5D9z1Zqn9eN+jeeXXRc1Rb1mXvK3WQsXouEhdJ05NVUP74FBJXVIz8n5aeZlYoLIKRJG8L7XQ6BAPnzppA39ftS+0PbnkR470sIpqcBkD9rPPnzpiCxNYm46A4QQQKh5M0aR/6ciRAWTsT5txOIrw1BJf/vueRN/KLScQFEHt+J+LtuhJAAGd/8zM4PSr9OtUvOI/rc06CggIJt20l9+FkKkrYU7ZeqVThi9Ltk/vIH2556BYA6bz1HSM14NCcHgM033kNw2/ZKx3bhg1fSskd7crNy+OCuV/ln8ZpS+8Miwxn82p3UOqoOwYIgCyfN5ZunPgUgvm5NBj19I9HxMezakcF7t7/M9uQ06rVowCWPXUtkdBTBgiA/v/o1c36cVqm4avdoTatHL4eQAOs/ncKKV34otT8QHkr7UTcQ27ohedsymD34ZbL+SSEsLppO79xGXNvGrP/yN/6694Oi53T57G4i61RHQkNInbGMhcPfh+D+tZwd98hl1OvZlvysHKYOeYu0RWv3OKZGqwZ0e2EwIZHhbJg8n1kPfAxA2zv603Rgd3LS0gGY++RXbJy8AIC45kfS9amrCIuOgqDy4+kPUJCTV6GYQpq1I+KsqyEQIG/WRPKmfF32ca26EHX53WS+dBfBDasgJJSI864nUK8JaJDc796lYPViAAJ1GxFx4a1IWDj5y+aS+927lS2qIh0evYy6bplNH/IW2/5au8cx8a0a0PVFp8w2Tp7P3PudMms9dAD1+rZHVclJ2cn0298ka/N26vVtT+uhA1BVNL+AuQ9+wtZZf1cqrql/LuGp978mGAzSv1dXrj63d6n9SVvTuO/VT0jflUVBULn9kjM5sf2x5OUX8NAbn7N09T8UBIOceXInrjm3DwAPvPYpv85dTHxsNb55fvj+FRhw8sOX0aCHU2bj73yLrWWcZ12Hnk/z87oREVuV15tfU7S93TWncuzF3dH8ArLS0plw11ukb0wF4OyPhpHYrjGb5vzN91c+V+m4Yrq3o95D10JIgNTPJ7D5tf+W2h/duQX1HryGqOYNWHPTs2wf43z+w+vWotHbwyEgSGgoWz/4iZRPxgIQd/aJJNw8ABRyN6ex9tbnKdiWXunYANo/ejlH9GxDQVYuM4a8Wea5FteqAV1evJ6QyDA2TV7AvPs/AqDt/RdTt3d7grn5pK/bzMwhb5G3M5NAWAidnr6a+NaN0GCQeQ98zJbpe94zlOe+J57ntz9mER9XnW8/eWOP/arKyBff4Pfps4mMjODxEXfSolkTAL4bM4E3P3SuG4MHXcTZpznn6OJlK7jv8efJzsnhxK6dGH779YhIZYvL+JhVLg4xPU85kYaN69Ot42m079iakc/dz5m9B+5x3K13DiZlaxonHXcGIkL1uFgAFi9cymk9LyQ7K5vLrryQEQ/fyY1X3wVAdlYOfU8esH+BBQLUvv8mNl59L3mbUzjqq5fZNWUGuavWFx2Ss3Ql68//Cc3OIfai06l119Uk3TGSQGw08TddwvrzbwGF+qNHkTFlBsGdGSQNeYLgrkwAEl+6j2r9TiR9zK+Viqvpk1ez4IJHydmURodxI0kZN4fMvzcUHZI4sCf52zOY2eUWap9zPI3uv5Ql173Alv9OZct/pwJQtXl9Wn4wlIzFawE46vb+5KXsYNbxt4EIYXHRlS8zEcJPu5Lsj59Ad6YSee3j5C+fi27dWOqw/MXTyR3zQaltmrGN7HcegIJ8CI8g6sZnKFg+F83eRd60HwmuXQIhIURefh/BJm0oWLmgcrEFAsTffQtbbryb/M1bSfzkVbJ+nUbemuL3M3f5SpIvvRHNziF6wJnE3XYdKfc8VrS/+g1XkDPvrz1eOmXESHKXVu5GqqSW3dtRu2Ei93e/hYbtmnLJ49fy5Dn37nHc+Le/5+/piwkJC2XIpw9wbPe2LP5lPgPuvZzpX//KjP/+SrOuLTl32CW8f8cocrNyeP+OUWxZm0xs7ThG/PgUi3+bT9bOzIoFFhBaj7ySaReMJCsplZPHPkby+Hmk/138ftYf2J3c7buY1PUO6p7dlWPvu5g5g0cRzMlj2VOjiTmmHtWOObLUy8657mXyM7IA6PTO7dQ9swsbv5te6XKr27MNMQ0T+LrbndRq35iuI6/gpzMf2uO4LiOvZNqwd9g6bxWnfDyUuj1as3HKQgCWvD2WxW+OKXW8hAQ48eUb+P22N9i2ZD0RcdEE8/IrFpQEiDj3OrLeegjdkUrUrU+Tv3gWumVD6eMiIgnvdgYF65YXbQrr7NyoZD1/O1I1lshr7ifr5aGgSkT/68kZ/RrB9X8TefX9hDRrT8HyeRUvLNcRbpl9f8Kd1GjfmONGXsG4Mx7a47hOT17JjKHvkDpvFT0+GcoRPVqzacpClrz+EwufGQ1As6v70GrIucy6532Sf1/MhnFOPNWbH0m3N2/hx5OGVTiugoIgT7z7H966/ybqxFfn4uHP0r1jSxofmVh0zFv/HU+fru24sO+JrPoniZtGvsnY145l/PQ/ycvL5+vnh5OVk8u5Q57g1BM6ULd2Dc7q3pmL+p3EiFc+qXRZFWrQow3VGyTw4Ul3ktCuMT0fv4Ivz96zzNZMnMeCDycw6NdnS23fungtX5x+P/nZubS6tBfd7r2Yn29yGifmvfkToVHhtLqkZ+UDCwQ48rHBrBj4IHlJqTT78Vl2TJhF9op/ig7J3ZjCujteovbgc0s9NW/LNpafMwzNzSdQJZLmE19mx4RZ5KVsp95D17Ck580UbEun7r2DqH3F6SS9UPkGncSebajWMIEfT7iTGu2b0HHklUw448E9juv05FXMGvoOqfNWcvInw0js0YakKQtI/m0RC574Ei0I0mbERbS45SwWPP4Fjd2y+rnXPUTUiKH7p8MYd+r9UMGhPeec1puB553FvY8+W+b+36fPZv2GTYz58l0WLl7Go8++wudvv8iOnem8/v5nfPnuywBcePWtdO/WhdiYajz67Cs8dPettD72GG646wGmzpjDiV07VbrMvBLEhkXtiw2L8oCIhOzvc/uc1oPRXzit2/PmLCQmphq169Tc47gLLzmXV158B3BaFralOa3D06bOJjsr233+AhKPqLO/oZQS2boZeeuTyNuQDHn57BzzK1V7di11TNashWi202KdvWAZoW7cVU/oSOa0PwnuyCC4M4PMaX9StVtHgKKKBaEhSFhopcc6xrRvQtaaZLLXbUHz8tny7R/U7Nex1DE1+3Ui+SunwrL1hxnEdWu5x+vUPvcEtnxb3IqdcHEP1r38jfNAlby0yrdUBeo2IZiWjG7b4rT+L5pOaLOO+34iQEGBU7EACAmDwlafvFynYuEeE0xag8TUqHRs4S2bkb9hE/kbkyA/n13jfiGq+wmljsmZs6Do/cz5aykhtYvPw/DmTQmpEUfWjDmV/tv70qZPJ2Z87bxfa/5cQVS1qsTUql7qmLzsXP6e7rRiF+Tls37xGuISnHJIbFqP5dMWAbB8+iLa9HbKfMuaJLasTQZgx5Zt7EzdQbX4mArHFdeuCbvWbCZz/RY0r4CN304noW+HUsck9u3IP1/9DsCmH2dS0z3XCjJzSJu1vMzW/sKKhYSGEAgPRffzwla/bwdWjXYqy1vnrSI8tipRtUuXW1Tt6oRXi2LrvFUArBo9lfr99n5OHnFyK7Yt/YdtS5yKZ862DLSCPSuB+k0JpiShaZuhIJ/8+VMJPfa4PY4L7zuQ3CnfQH5x+UidIylY6VReddcONGsXgXpNkGpxSGQUwfVOBTZ/7hRCW+75mhVRr28HVrtlluqWWeRuZRZZuzph1aJIdcts9eip1HPLrPC9AwiNiij6/srPzCneXiWiwjd6hRatXEf9hFrUq1OTsLBQ+p3QnilzSlfkRWCX+12fkZlNrbgYd7uQmZNDfkEBObl5hIWGEB0VCUDHFk2Ija5SqVh216hPB5a6jTLJf64iIqYqVXYrs8J9mVv27LXcMH0p+dm57jEriU6ML9r3zx+Lyc3I3q+4qrZtSs7aZHLXb0bz8tn2/e/E9il9XuRu2ELWsnWgpXvHNS8fzXW+byU8DAm4t04iIEJIFaf8AtFVyN2ctl/x1evbgbWjne+G1HkrCY+tspdzbSUAa0f/Tr1+zndM8q9/oQVO3KlzV1LFLbeYo+uyeapzTchJ3Unujl3Et2lY4bg6tm1FbEy1cvdPmTqDs/r1QkRo07I56ekZbE1J44+Zc+naqR2xMdWIjalG107t+GPmXLampLFrVyZtWjZHRDirXy8m/175xhLjb1a52AcReUREbi/x+HERuU1EhorIbBFZKCIPl9j/rYjMFZHFInJdie0ZIvKciCwAurKfEhLrsGljctHjpE2bSUgsXUGIcb8Iht57Mz9P+Yo33n+OmrX2vMG8+NL+TJn4e9HjiMhwfpr0Jd+P/5S+p1WuZSi0dg3yk7cWPc7fnEJYnfJvamPP68uu350bz9A6ez43tMRz6779OI2nfkFwVxYZ46ZWKq6IhHhyNqUWPc7ZlEZEQum4IhLjydmYAoAWBMlPzyQsvvSXae2zj2fLN87fDo1xLr4N776IDhOeosXbdxBWK7ZScQFITBy6szg23ZmKxMTtcVxI8+OIuuEpIi64HYmJL/H8eKJueIoqd7xC3tTv0fRtpZ8YWcVpsV2zqNKxhdaqSX5y8RCngi1bCald/vsZfU4/sv+Y7QYmxA25nm0vvFnmsTUeGkri528Qe80llY4LoHqdeNJKvKfbk1OJS4gv9/iomCq07tWBZX84N18blq6jXb/OALTrexxR1apQtXrpnqcGbZoQGhbK1nWbKxxXZGIcWSXiykpKIzIxvtxjCs+18PjyL9yFun5+D/0WvUF+Rhabfqj88DuAKglx7CoR366kNKokxO15TFJaucc0v7I3Z014ghOeu5bwWOdzENsoAVB6fzqMM8c+RssbTq9wTBITj25PKXqsO1KR2NLnWaBuIwLVa1KwbG6p7cFNawhtcRwEAkhcbULqNUaq10Bi4wnuKP5/Bnek7lcFG5zyyCxRZpmbyi6zzBJltvsxbe4+n3PmvESD/sez8JniYTj1+nXkjN+epvtHdzHjjrcrFdfmtO3UqVF841knvjpbUneUOuaGC07lx9/mcMrg+7lx5BsMv8rple7dpS1VIiLode199LnhQQad2ZPYalUr9ff3Jjohjoyk4jLLSE4jOmHP77WKOPbCk1k7pZK9ruUIS6hB7qbicy0vKZWwhIqfF2GJNWk+/iVazXqX5Ne/Jm9zGuQX8M+9b9B8wsu0mvM+kUcfSeoXE/crvqiE+FKfz4qea1FlfPc1uvhkktwhi9sXr6Nun/ZISICqR9YivnVDqhyxf5+HsmzemkpCiYalOrVrsnlrCpu3ppBQu1bx9lrF2+uUPL5WTTZvTcUcXqxysW/vAZcDiEgAuAhIBpoCxwFtgQ4icpJ7/FWq2gHoCNwqIoWf4qrATFVto6p73CGLyHUiMkdE5uzK2b+Wj0IhoSEcUTeBubPmc2qPC5g7ewH3P3JXqWP6n38Grdsdyxuj3i/a1qVNH07vdSE3X3s3Dz1xN0c1OHL3lz4gqp3Zk4iWTdn27ugKHb/x2hGsPmkgEh5GlS5t/icx7U219k0oyMpl1zKn+1xCQ4isW5Ods5czt/fd7JzzN40fvPx/8rfzl88j68VbyXr9bgpW/UXEuTcW7dOdaWS9fjdZLw8htO1JULVEBScQIOK8W8ibOc7pGfkfqnpaLyJaNGPHR84cm2oXnEXWHzMp2JKyx7EpI54g6cJrSb56CBHtWlH19N57HHMgBUICXPPy7Uz5YAwp/zjlMPrxjzi6cwtG/PQ0Tbscy7akVIIl5vHE1KrOlc/fwodDX/NNVpDpFz/JuDY3EggPo1a3Yz2JYdlHE/nv8XfwfZ8RZG7ZTqcHnMqhhIRQu9PR/Hbza4w55xHqn9qRxAMVowgRZ15Jzg/v77Erf/YkgjtSiLrtWSLOvpqCtcsqPR/rYFjw1H/4tuNtrP16GkdfVXy+bxg7hx9PGsZvV71A62H7ORx1L36eOpeze3Rm4puP8trw67l31McEg0EWrVxHICBMfOsxfn71QT78YQobNu/5WfVas3NPoHbrRsx78yevQwEgLymFpX1uY/GJ11NjQA9Ca8ZCaAg1L+vH0lOH8FfHK8laupaEm8/zNM4Wt55NML+AtV//AcDqL34lMymNvmMfo/0jl5EyZwXqw8/JoURVffPjVzbnYh9Uda2IpIpIO6AO8CfQCejj/g4QjVPZ+A2nQlE4YPNId3sqUACUnj1W+u+8BbwFUC++ZakzZtDVFzHwcufis+DPRRxRN6FoX+IRdUhOKt26ui1tO5m7Mhnzg9OC8uN347no0v5F+7ud3IVb7ryOAWdcQW5u8TCDZHcy7vp1G5g+dTYtWx/DurX/UBH5W1IJTShupQitU5O8zXu2RlTp2o74wRex4fKhaJ7zt/M3pxJ1XOtSz82atbDU8zQ3j4zJ04nu2ZXMaX9SUTnJaUSUaKWJOCKenOTSceUkpRFRtyY5SWlISIDQalVKDXOqfc4JRb0WAHlp6RRkZrPVncC99YfpJA6s/Bhg3bmtVIuqxNRAd+7W+5CVUfRr/rzJhJcxv0bTtxHcsoGQo5pRsGQWAOFnXoumJZM/4+dKxwWQvzWF0ITaRY9DateiYMue72fkce2JvXogydfcCe77GdGqBRHtWlHt/LOQqChnOFtmNttHvUOB20KlmVnsGjuZ8JbN2PXThH3G0/2yvnS7+BQA1i5YSfwRNVjl7queUINtyWVXyC8dOZgta5KY9F7xPIEdW7bxxvXO+OGIKpG079e5aF5FZHQUt7w/nO+e/Zw1f67YZ1wlZSdtI6rEuRaVGE92UlqZx2SXONdyKzikLpiTR/K4uST068jW3yrWG3XMoFM4+pIeAKTMX03VEvFVTYwnM7n0+ZaZvI2qJXpbSh6TnbKzaPuKT6fQ68M7neckpbF55nJytjnn6obJC4hv2YCkqYv3GZ/uTEOqF7diSmwNtESvAxFRBBLqE3W9M5dHqlUn8op7yf7gCYIbVpFbotIRddNIgls3QdYuAiV6PwKxNUr1EO7L0VecQmO3zNLmry7VylvliLLLrEqJMivrGIA130yjx8d38dezpSesb5m5nOj6tYmIjyYnLWOP55WlTnx1NqcWDynanLad2jVK955+M3kGr4+4AYA2zRqSk5fPtvRdjJk6hxPaNicsNIQasdVod0xDFq9aT70yhtdWVOvLT6HlxU6ZbV64mujE4jKLTogno4zy2Jsjux3LcTefxegLHqcgt4Lzd/YhLzmV8COK/49hiTXIS658i3ne5jSylq8n+rhjyd3oXDNz1zmjCbb/OJU6N1a8ctH0it5F51qq+/ksrOZV9FzLKvHd1/CCk6h7SjsmX/hE0TYtCPLnQ8VzaE75/kHSVxWPfvj/qlOrBsklGpI2b0mhTq2a1KlVk9l/Fl/HN29NoVO71k5PRcnjt6ZQp4yRFebQZj0XFfMOcAVwJU5PhgAjVbWt+9NEVd8Vke7AKUBXVW2DU/mIdF8jW1UL9uePf/juF/Q9eQB9Tx7A2J8mM+CiswBo37E16Tsz2FJGq9OEcb/StZszQarbSZ1Zsdy5FTu21TE8+fyDXDXwZlJTir+UYmNjCA8PAyAuvjqdOrfj7+Wr9njd8mT/tZywo44gtG4dCAsl5rST2TVlRqljIpo3pvZDt7DppocoSCvuwt/1xxyqntCeQEw0gZhoqp7Qnl1/zEGqRBJSy/0iDQkQffJx5K6uWGWnUPqfK4lqlEhk/dpIWCi1zzmBlHGl5wGkjJtDwgUnA1DrzC5sm1rixk2E2mcdz5Zv/yj1nNTxc6l+gtM6G3diK3b9vdsE1Aqn5hh9AAAgAElEQVQIblpFoEYCUr0WhIQQ0rIr+ctLD/2Q6OKhDyHNOhBMcSYHS0w8hDrvF5FVCanfjGCKk/UrrOcFSEQUuWM/qnRMhXIXLyf0yLqEHpEAoaFU7dudrF9LZ04Ka9aE+BG3s+X2B0plfEq5byQbTx/IxjMuZduLb5Lx0wS2j3oHQgIEqrtzGEJDiDqxC3kr11Yonl8+Hsdjpw3lsdOGMn/8bLr0d96vhu2akpWeyc6te47dPvvOi4iqVoWvHvmg1PaqcdWKMpP0u/Fc/vhqCgAhYaHc8OZQZnz9K/N+nrH7y+3T9vmrqNoogSr1ayFhIdQ9pyvJ40u/n8nj53LkBScCcMQZnUn5Y+834CFVIohwx11LSIA6p7QlY+WmCse07MOJfN9nBN/3GcH6cXNpPKAbALXaNyZ3ZyZZu415z9qyndz0LGq1bwxA4wHdWD/O+T+UnJ9R/9SObF/unPMbf11I3DFHEhIZjoQESOhyDDtWlE5KUJ7gPysI1ExE4mpDSCihbbtRsGR28QHZmex6aBCZIweTOXIwwfV/F1UsCAuHsAinnJq2gWABumUDmr4Nzc4iUP9oAEI79CB/8awKl9nfH0zk594j+Ln3CP4ZO5dGbpnVcMsse7cyy96ynbz0LGq4ZdZoQDc2uGVWrWHxkNV6fduzc6XzGY1uULw9rlUDQsJDK1yxADi2SX3WJW1lw+ZU8vLyGfvHPLp3bFXqmISaccz8y5l3snpDMrl5ecTHRJNYM45Zi5yKc2Z2Dgv/XkvDuv+/uXcLP5rIZ6eO4LNTR7Bq3Fyan+eUWUK7xuSkZ5Y5t6I8tY49ip4jr+KHq58nK3Xnvp9QQbsWrCCiQSLhRzrXgrizTmTHhIqdF2EJNZDIcABCYqsS3ak52as3kpecRlTTIwl152ZVO7Et2Ssrfi1Y8cEExva+l7G972Xj2Dk0GOB8N9Ro34S8nVl7OdecbEwNBpxYdK4ldm9N8xvP4LcrnqMgK7foOSFR4YREOZ+ThJNaovlBdlbw81kR3bt14fuxk1BVFixaSnR0VWrVjOeEzh2YNmseO3ams2NnOtNmzeOEzh2oVTOeqlWrsGDRUlSV78dOoke3LgcsnoMhqOqbH7+ynouK+QZ4BAgDBgL5wKMi8qmqZohIXSAPiAW2qWqmiBwDHPBPzOQJv9Gz94lMnfsz2VlZ3HHz/UX7xv06uijb0xMPPc9Lb4zk4SfuITUljTtuvg+A+x6+k6pVq/DG+88DxSlnmzRrxFPPP0AwqAQCwqsvvcuK5asrHlhBkK2PvUa9dx6HQICdX48nd+U6atxyGdmLVrBrygxqDr2GQJUoEl8YAUB+0lY23fQQwR0ZpL7+GfW/crJKpL72KcEdGYTUqE7dVx9CwsMgIGTOXMD2LyvXRa4FQVYMf5fWX4xwUtF+PoXM5RtoMOxC0hesInXcHJI/m8wxr9xC5xmjyNuewZLBLxQ9v3rX5uRsSiF7XemhRase/YTmr9xC6KNXkJe6k2W3vVapuAAIBskd8wGRlw0HCZD/5y/o1g2E9RhAcNMaCpbPJbRzP0KbdUCDBZCVQc63TipAqVmXyL6XoqqICHnTfkS3/IPExBN+0rkEt24kcrDTelWYvrZSCoKkPTWK2q8+CYEAGd+PJW/1OmKvH0Tukr/J+m06cbdfR6BKFLWeds7B/OQtbB3yQLkvKWHh1H71SSQ0FAIBsmfOI+ObMeUeX55FU+bRqkc7Hvt1FLlZuXw49NWiffeNeYbHThtK9YR4TrvlPJJWbmDET08DMOXDn/njy8k063Is5wwbCKqsmLWUzx9wEh90PL0rTY9rTtW4anQd4LQmfnDXq2xYsrZCcWlBkIX3fkDXz+9BQgKs//wX0pdv5JhhA9g+fzXJ4+ex7rNfaP/KjfSa/jx523cxZ/Coouf3nv0SodFRBMJDSezXgekXPUluWjqdP7qTQHgYEhBS/ljC2g/3b0z3hknzqduzDf3/cG4+pt7xVtG+s8Y/zvd9nM/ljHs/oNsL1zlpVacsKEo32/G+i4hvcRSqSsaGFKbf/R4AuTsyWfzWz5wx5hFQZcPkBWyYNL9iQQWD5Hz7NlHXPuimop1EcPM/hPe5mIINK0tXNHYj0bFEXfMgqBLcmUr25y8V7cv55s0SqWjnUbCs8pmiADZNmk/dXm04a5pTZtOHFJfZqRMe5+feTpnNHv4BXV90ymzTlAVscsus7b0XEtM4EQ0quzamMOtup6el/umdaDigG8H8Aue9uOGVSsUVGhLCvVcP4IbHX6MgGOScHl1ocmQir37xEy0a16dHp1bcdfk5PPzmF3z80xQE4dGbLkFEuKjvSdz/2qecO+QJVJWze3Th6KPqAjDsxQ+Ys3gl29MznLkaF5xG/16VmyK4dvJ8GvRow6DfnyM/K5cJdxWX2cCfH+ezU50yO+Hei2h29vGERYVz1cyXWfzFL8x84Wu6jbiY8CqRnPb6rQCkb0rlh6ud69WA0fcT1ziR8KqRXDXzZSYOfZv1v+2Zka5MBUH+uf8tmnzyEBISIPXLSWT//Q+Jdw4kc+FKdkyYRZU2TWj09nBCYqOJPaUTiXdczNJTbiGyaT3q3X9V0fft5je/JXvZOgCSXvySo0c/geYXkLthC2vveLlS5VVo06T5JPZqyxnTnqcgK5eZQ4rnrPWb8ARjezsZ8eYMf5/ObtrjpCkLiuZWdHh8EIGIMHp86aQQTpm7kjn3vEdkjRi6f343GlSykrcx/ZbXKxXX0AefZPafC9m+fSe9zrmUG6++jPx8pzfpwnNP56Sunfh9+mxOveAqoiIjefTeIQDExlRj8BUXc9E1twFw/ZUDiyaG33fnTcWpaLt0OqQyRZmKET+P2fITEXkD2K6q97iPbwMKk3NnAJcCG4BvgQbAcqA68JCq/iIiGapaoXyluw+L8ovJdep5HUK5NqXte1KsVzrd4M86fMr3W/d9kEeeSNu/CaAHw2nZYV6HUKZtIf7tiB4wcJfXIZTru08P3GTmA2nA2Mu8DqFcb5zxsdchlOtE3b81Jg6G5QX7kbL8IBiw8FGvQyhXWM1GvlsAI7pKQ9/co2VkrvFd+YD1XFSIO5G7C3B+4TZVfQl4qYzDTy3rNSpasTDGGGOMMf60v+nA/03829TlEyLSAlgJTFLVys3wNMYYY4wx5l/Eei72QVWXAI28jsMYY4wxxhi/s8qFMcYYY4wxFeDnLE1+YcOijDHGGGOMMQeEVS6MMcYYY4wxB4QNizLGGGOMMaYCbAmHfbOeC2OMMcYYY8wBYT0XxhhjjDHGVICtc7Fv1nNhjDHGGGOMOSCscmGMMcYYY4w5IGxYlDHGGGOMMRVgE7r3zXoujDHGGGOMMQeEVS6MMcYYY4wxB4QNizLGGGOMMaYCbFjUvlnPhTHGGGOMMeaAsMqFMcYYY4wx5oCwYVHGGGOMMcZUgA2K2jfruTDGGGOMMcYcEGITUw5vInKdqr7ldRxlsdgqz69xgcW2v/wam1/jAottf/g1LrDY9odf4wJ/x2YODuu5OPxd53UAe2GxVZ5f4wKLbX/5NTa/xgUW2/7wa1xgse0Pv8YF/o7NHARWuTDGGGOMMcYcEFa5MMYYY4wxxhwQVrk4/Pl53KPFVnl+jQsstv3l19j8GhdYbPvDr3GBxbY//BoX+Ds2cxDYhG5jjDHGGGPMAWE9F8YYY4wxxpgDwioXxhhjjDHGmAPCKhfGGGOMMcaYA8IqF8YYcxCJSIjXMRhjzIEgIgEROd7rOIy/WOXiMCQiT4tIjIiEicgkEdkqIpd6HReAiMwVkZtEJM7rWHYnIo1FJML9vbuI3Coi1X0Q1y1+LC8AEZlUkW1eEJGqIhJwfz9aRM4SkTCv4wJWiMgzItLC60D2RkTiRKS113GUxb2hifE6DgBxXCoiD7iP64vIcV7HBSAirbyOoTw+v07VEZEz3J/aXsdTkoh0E5Er3d9riUhDL+NR1SDwqpcxGP+xysXhqY+q7gTOANYCTYChnkZU7ELgCGC2iHwhIn1FRLwOyvVfoEBEmuCk0jsS+MzbkACog1NeX4lIPz+Ul4hEikg8UNO9CY13fxoAdb2NrshvQKSI1AXGA5cBH3gakaMN8DfwjojMEJHrfHSj/It7wxcPzAPeFpHnvY4LQEQ+c2OrCiwCloiIH77XXgO6Ahe7j9Pxz83WayIyS0RuFJFYr4PZjS+vUyJyATALOB+4AJgpIgO8jcohIg8CdwPD3U1hwCfeRVRkkoic54drk/EHq1wcnkLdf08H/qOqO7wMpiRVXamqI4CjcW7c3wPWicjD7g2Nl4Kqmg+cC4xS1aFAoscxoar3AU2Bd4ErcFq+nxCRxh6GNRiYCxyDcxM61/35DnjFw7hKElXNBPoDr6nq+cCxHseEqqar6tuqejzOjcKDQJKIfOhWbL0U697w9Qc+UtXOwCkex1SohRvbOcDPQEOcCqPXOqvqTUA2gKpuA8K9DcmhqicCl+A0lMx1K2i9PQ6rkF+vUyOATqo6SFUvB44D7vc4pkLnAmcBuwBUdRNQzdOIHIOB/wA5IrJTRNJFZKfXQRnvWOXi8PSjiCwDOuC0KNTCvfD5gTvU4jngGZzegvOBncBkL+MC8kTkYmAQ8KO7zQ/DaFBnQZpk9ycfiANGi8jTHsXzkqo2BO5S1YYlftqoqm8qFyLSFefm6id3m+fzHUQkxB2i9Q3wIs5noRHwAzDG0+AgVEQScVpsf9zXwQdZmDus7Rzge1XNA/ywUFOeO49GwRmqAgS9DamYqq4A7sOpyJ4MvCwiy0Skv7eR+fY6FVDVLSUep+Kfe6Vc91pQeK5V9TgeAFS1mqoGVDVcVWPcx77ojTXeCN33IeZQo6r3uDedO1S1QER2AWd7HRc4cy6A7Tit8Peoao67a6aInOBdZABcCVwPPK6qa9yxrB97HBMichtwOZACvAMMVdU8dz7BCmCYBzH1VNXJwMayblJU9euDHVMZbscZPvCNqi4WkUbAFI9jAuc9mwI8o6rTSmwfLSIneRRToUeAccBUVZ3tltkKj2Mq9CbO8JkFwG8ichROo4TXXga+AWqLyOPAAJybec+5DTlX4vQOTADOVNV5InIEMB3w7HPq4+vUWBEZB3zuPr4Q7yv9hb4SkTeB6iJyLXAV8LbHMQHOHC2cHvbIwm2q+pt3ERkv2QrdhyEROR8Yq6rpInIf0B54TFXneRwaItJIVVfvtq2hqq7xKia/E5GHgfdUdV0Z+5qr6lIvYlLVB0Xk/TJ2q6pedbBj2hu3IhbtDqvxOpZoVc3wOo7DgYiEukMZvY7jGKAXIMAkLz6TZRGRX3EaJEaratZu+y5TVc8aT3x+neoPdHMf/q6q33gZT0nusLY+OOfaOFWd4HFIiMg1wG1APWA+0AWYrqo9PQ3MeMYqF4chEVmoqq1FpBvwGM7wowfc8dOeEpF5qtp+t21zVbWDVzGViOMM4FHgKJxePcG5Ufa0e7ecuSjp7rAQUw4R+QynJ6oAmA3EAC+p6jMex3U08DpQR1Vbuq3LZ6nqY17GBU4GH5zvjCxgLNAaGKKqnk8adXvw3seZMP0O0A6n93O8R/HsdY6YqqYdrFjKIyK3q+qLu227TVVf8iqmEnH4+TqVAHTGGd42W1WTPQ4JcBrigCRVzXYfR+F8j6z1OK6/gE7ADFVt61a2n1BVr4feGY/4ZRyhObAK3H9PB95S1Z/weIKhiBwjIucBsSLSv8TPFZToRvXYizjzLWr4bNzoPGArToahFe7va0Vknoh4WilzJ5ZXL/E4TkQ8v0l2+XUC8Ns4w7XyAFR1IXCRpxEV82UGH9dVbmx9cOYcXQY86WE8c4E57r+7fz7nehhXSZeXse2Kgx1EOXx3nYKiVvhZOJOnBwAzRMQvPbH/ofR8ngJ3m9eyS1R4IlR1GdDM45iMh2zOxeFpozsuszfwlDhrN3hdkWyGc8NSHTizxPZ04FpPItrTP8Ai9V933gScYQ3jAESkD3AeTivuazgtbF45VVXvLXygqttE5DT8Mea85ATgV9x5Kn54b6uo6qzdsjZ6PrTHtUcGHx9llywM5DTgY3cejWfBuQkNEJG3ceb1jHEfn4pzznnGTUwxEGgoIt+X2FUN8LxHxeXH6xQ4lel2qpoKICI1gGk4mQ29FqqquYUPVDVXRDyvkAEb3Eamb4EJIrIN2GMYr/n3sMrF4ekCoB/wrKpud7O/eNr6qKrfAd+JSFdVne5lLHsxDBjjjlMunGiOqnqd57+LqhZVwFR1vIg8q6qD3Quyl0LclqocKOqm9zqmQn6dAJwiThrhwowvA4Akb0MqUpjBJwu4wUcZfMBJpToepwdquIhUwx9ZmXb/fP7sVRa3EqbhnFM1cbKRFUoHFnoS0Z58d51ypeKUU6F0d5sfbBWRs1T1ewARORsn0YenVPVc99eHRGQKEIszrNL8S9mci8OUO461qaq+794gRHs5aVpEhqnq0yIyijLSR6rqrR6EVYp745IB/EWJmxZVfdizoCiKaxLwhbvpQpzWvn4444Hbl/fcgxDb3Tg9UYUTu6/ESRPq9c1VmfwwAVic1ZufAI4HtgFrgC9VdZSXcRVy5xIUZvCpClTzw5hzd1J+W2C1ezNaA6jrDivzMq5xwO8UL2Z2CXCSqvb1LqpDg9+uU25MHwGtcNbsUZwMVgvdH08bm9xGiU9xFqIVnN72y1V1pVcxFfLje2m8Y5WLw5A4q3h2BJqp6tFu2sH/qKpnqV5F5ExV/UFEBpW1X1U/PNgx7U5EFqlqS6/j2J2I1MRZaK0bzsXuD5yUoTuA+l5fWNxhIL3chxMKh295TUTq4NzEH6Gqp4pIC6Crqr7rcVzzcOb2rMYZBnIGcLtPJrJWAe7AOa+uE5GmON8jnq954Q6BugRopKqPiEh9IEFVZ3kcVzzO57MwjfBvwMNeTugWkamq2k1E0indmOOLJBXgz+tUibjK5XVjEzgZ59xYfJF1zq/vpfGOVS4OQyIyHyeTyjxVbeduW6iqrb2NzN/coQwTvco+UxZxFuf6SFUv8TqWQ42I/IzTozJCVduISCjwp6q28jiuRjiTMAcCJ+JMuj1TfbBCsYh8iTMZ+XI3k1UVYJqqtvU4NETkdZwexZ6q2lycvPrjVbWTx6EB4A7TUr/c8PmdXacqzx0Gex7QgBLD2lX1Ea9iAnsvzZ5szsXhKVdVtXDyqvhgFU8R+YG9rKarqmcdxHDKcwNwl4jk4GTy8byVzx2acpSIhJecyOe1Q6FlFKipql+JyHAAVc0XkYJ9Pel/TVVXuxNuvwXWA311tzUIPNRYVS9040NVM72cNL2bzqraXkT+hKLkAZ5PZhWRVsBHQLz7OAUYpKqLPI4rBFisqsd4Gcde+O46BSAiHYERFKckB8AnN8rf4fRYz6XEvEAf8OV7abxjlYvDkx9X8XzW47+/T6pabW/7ReRYVV18sOIpYTXwh5v1ZVfhRi/H/qpqN/ffvZaZx3a54/ILL3hdcC7MnhAnF3zJilg8EIKzOr1fbl5y3Un5hWXWGP/cxOS5N8yFsdXCHxO63wTuUNUpACLSHXgLZ06NZ9yGieUiUl9V13sZSzn8eJ0CZ07DUHabe+cT9VS1n9dBlMGv76XxiFUuDkOq+qw4q3juxEkB+4B6vIqnqv7q5d8/QD7GWUX2YFvl/gRwUkl6Tg6BBcRw5g58DzQWkT+AWjh5671yhod/u6IexMnycqSIfAqcgH/WRXgZ+AaoLSKP47yXfkh5XLWwYgGgqr/4qOU2DlgsIrMo3TDheU+xH69Trq2F2Zh8aJqItFLVv7wOZDe5wET8914aj9icC3NQiMhXqnpBGa23hcNo/NBqu1ci8mfheFKP/n4VVc306u+XJCJrcN7HsobMqKo2OsghlcmdZ9EMJ87laqua75Pb29MFp8xmqKrnqS4LibPyby+c2Cap6lKPQ0JEvsFZ6PJjd9OlQIcS6Tk9IyInl7X9MGns+Z8QkV7AxTgZ+kqmJP/as6BcIrIEZ2HLNTix+eL6Kc7CqRfhfA7eA8ap3Vz+q1nl4jAkIv2Bp4DaOF8+no+DF5FEVU0SZ62BPaiq7xfcEZF56kHaVxHpCryLk9qvvoi0AQar6o0HO5ZDjYgcz56THz/yLKBDgIjUZc/x5r95F1Exd1hUHUrH5umQH3di+cM4vTzgpKV9SFW3exeV//nxOuXG9QlwDLCY4mFRqqqer9Lt5+unOzerD0468o7AV8C7qrrK08CMJ2xY1OHpaZzsM5636hVS1ST333UikgAch9PyPVt9kEPf514E+uIM8UFVF4jISXt/ysHj3iQUpsn9XVW/9TgkAETkY6AxMB8onMitOJNvTRlE5CmcdVRK3VjhpFf1lIjcgjNsazPO+yk4sXnd69kYOBJn2GIoTs9KT7yPq3Ce0SigORCOM8dnl9c38C7fXadcnVS1mddBlMW9fu6xnoTXcYFT+xKRZCAZyMcZkjdaRCao6jBvozMHm1UuDk+bffiFDYCIXAM8AEzGuTkYJSKPqOp73kZWIZ5la1LVf3ZL2uN51iMAEXkNp5v+c3fT9SLSW1Vv8jCsQh2BFtY9Xynn4OSq98sk7pJuw4nNL6slF/oUuAtYhP8mAL+CM1zlPzifh8uBoz2NqJhfr1PTRKSFqi7xOpDdlVxPAifNdhjO4o1erw1yG865lQK8AwxV1TxxFr5cAVjl4l/GKheHpzluvvpv8dmYUZwsHO0KbxDc8d3TcMZpem5vQ0JUtYtHYf3jDu9REQnDucnyy0W5J9C88AZeRD7EafX2g0VAApDkdSCHkNU4Nyx+rFz8g4fZvvZiq6r+4HUQ5VHVlSISoqoFwPtuKt/hXseFf69TXYD57rwy38xrcJ2Lu54EgKpuctdX8Vo80H/34VmqGhSRQyGRhTnArHJxeIoBMnHGPxZSwOsvbYBUIL3E43R3m+dKDAlZQulhNF4PCbkeeAmoC2wExgN+6BkAWAnUBwovKke62/ygJrDEzZRT8ubF80w5PpaJc2O1+2TWW70Lqchq4BcR+YnSsXmWktn1oIi8gw8nAAOZ7log88VZJDQJZ/iWH/j1OuXHVK+FfLmehKqWu6q5T3unzP+YVS4OQ6p6pdcx7E5E7nB/XYmT1/87nAvJ2cBCzwIrzZdDQtxsPX5dobsasNS9gVecuTRz3DU5vL6Rf8jDv32o+t798aP17k+4++MXV+JMAA6j9DwVr2+SAS7DmWdxMzAEp/J/nqcRufx4nQJ/z2vA1pMwhwjLFnUYcoem3FaYrcTNZvKcl9ku3LGi5VLVhw9WLOURkZ+B81U1w+tYSnIvbteyZ9YjP2QvKTPVZSFLeXnocRfRq6+qy72O5VAgIsv9OgHYj0RkmKo+LSKjKJ2WHPC+l6zkvAZVPVpEjgD+o6qezmso5K4N0gdnuNY4W0/C+JH1XByeWpdMg6iq20TEs/UZ3Bg8rzxUgF+HhHyHk95yIj6ZyF3C1t0nPopId1X9xaN4EJF0yrhpwSepLv1MRM4EnsXpGWgoIm2BR7zsgRKRHyj7/QQ87x0DH04ALmM9oVI8nj9QOExmjocx7I1f5zUA4FYmrEJhfM0qF4engIjEqeo2KFpN2RfvtdsKPww4Fogs3K6qPT0Lqphfh4RUUdW7vQ6iHF+JyEfAMzjv59M4rX5dvQpIVX1zI3AIeghnaNsvAKo6X0S8XhDxWfff/jgT9D9xH1+Mk5bWa36cAOzbSbSFk99V9UOvYymH7+Y1WIOJOdT44obTHHDPAdNF5D84Xz4DgMe9DanIp8CXOBe/64FBwFZPI3Kp6ofu5MfCVI1+WdH5RxE5TVXHeB1IGTrjLIQ1DWf+xad4nBZxdyJSm9IVWU8XXfO5PFXdsVvaY0/TqxYOrROR51S1Y4ldP4iIH1q/fTcB2A+Lqu2LiByNk8K3AaWHe3rd0OS7eQ3WYGIONVa5OAyp6kfuRbfwS7q/j7rsa6jquyJym3vT8KuIzPY6KHCG8wAfAmtxKmVHisggH6xOfBswXERygTz81VqVB2QBUTg38GtU1Re5/kXkLJyK9hHAFpwUw0txes1M2RaLyEAgRESaArfiVBz9oKqINFLV1QAi0hDwvFXZzzfyu7V4h+NMOvfLInr/Ad7AWRfBT8M9awGjgZ0460k8AJziaUS7sQYT43c2ofswIiIxqrrTHQa1B1VNO9gx7U5EZqhqFxEZB7wMbAJGq2pjj0NDROYCAwsnsrota5+rageP4wrgZItqqKqPiEh9IFFVZ3oZF4CILMCZE/IIzkX5DZxhBed7GhhFsfUEJqpqOxHpAVyqqld7HJpviUgVYATF6UHHAY+parZ3UTlEpB/wFk5KWsGpLA5W1XGeBnaIEKc76mygi6re44N45nr93VoWEZmnqu1327bQD+tclNdgoqrWYGJ8xSoXhxER+VFVz3DH/pZ8Ywtbur0eO427oM7vOCkRR+HkOn9YVT2f61DWBcQPFxUReR1naEpPVW3uZv8ar6qdvIwLQESOw2ndK1nxuVxVH/M4NERkjqp2dCsZ7dwFnRaoahuvY/MrEWmvqvO8jqM8IhKBk/YVYJnf0kYfCkTkT1X1LMFHicavW3FukL+hdAINTxrBROQG4EagEbCqxK5qwB+qeqkXcZVkDSbmUGGVC2NcIvIezk184YTRS4AQr1O+Fraklbwp8MtNss8rPhNx1i4ZibOg3hagk6oe72lgPiYiU3AmTY8GvlTVRR6HVERELi9ru6p+dLBjOVSISP8SDwM4yRZOVlXPEi6UaPySMnZ71ggmIrFAHM73RcmenXQ/9PqDNZiYQ4fNuTgMicgkVe21r21ecIcavQ7UUdWWItIaOMsPLd3ADTgrXxemnv0deM27cIrkiUgIbm+Um3HLF/MagM6FFR8oSnsc5nVQrrNx5oMMwakoxgKHQkpkz6hqDxFJAC4A3hSRGJxKhsrvo+cAAA1FSURBVB8+nyUrrJFAL5x0oVa5KN+ZJX7Px5lPdrY3oThUtaGXf788qroD2IGThcyvtotINM616VMR2QLs8jgmY/ZgPReHERGJBKoAU4DuFLcMxQBjVfWYcp560IjIr8BQ4M0SrfCLVLWlt5H5l4hcAlwItMeZcD4AuE9V/+NpYICIzASOB2a7lYxaOD0Xnq6rAiAiT+2ewresbaZsItIKJ230harqpxWxARCR6sAXquq7bE1m30TkJuDT/2vv3oP0LOszjn+vpAFMk4CIUFonINYBOVVTEbAcai1iqyAeAKU6Dq2USou0MkydCVoiFAZhYKh1HBlPAxOESFUEVFALIi0YTinBgj0gilZELYeIigau/nE/7+67y5I0m2Xv5733+szsLM+9ZOaaZPZ939/z3Pfv54nDXt9iuw83dHpJ0nLgk8ADwFspN0xW2v5JzVwRk82rHSBm1PHAbZQ9ybcNfV0B/GPFXMMW2l49aW19lSQdSau672sl3Tn5q2Y2ANsrKR/yzgJ+ABzRh8Ki8w+UPdPbS/p74EbgzLqRxhwyxdofzXqKESLpRZJO64awfZDSKep5lWM9nceAXt4F7wtJu0i6UtKPJD0o6YoezC0ZOM6Thr0Cx1XMMwp+DbiWModmMeWpYgqL6J1si2qI7QuACySdaPuDtfM8jR9LegHjW3zeRPnAXNNJ3fc+D566B7indo7JbK/sumy9kvKk7Ajbd2/kjz2jhg9mTioOFwP/UifVyPg4ZQ7Nobb/p3aYYZo4qXs+8CJgVb1EI+ES4EOUqdMAbwY+RZlPU9t8SXK3faLb+tm7J2R9YnsFsKLbTnw0pZX792z3qlVuRLZFNUjSkZRtUOsknUrZTnNGH7rAdHfNLqRspXkI+Dal28V9NXNBttG0YhQOZsamk3Tw0OV64Du2v1crzyh4mg54vTgALOkcSivVj3RLxwP32z65XqrR0J2LOpJSLC6u3dEwYrIUFw0avKFIOgA4AzgHeJ/tPtytAkDSrwPzbK+rnWWgz/3NY3q6u6E7MHECcAZOTSJple2juu1QU7Wx7sXvgKQdGD/Yvdr2gzXz9J2ksyk3cS6l/LseTSm8z4G6s4+6+T3HU556AnwZ+KjtPg3U6xVJJ1CaLTyXMoRwlfszIDdiTIqLBg1alko6C1hr+5Lavc2Hsp0JfGDSIb6TbZ9aMVPv+5vHppP0V8BpwA8Z767Vmw/KfSJpR9s/kLTTVD93D6ZQSzqK8qH4ekrRcyBwiu3La+bqs67t69OpPvtI0rOApe4Gl8aGde/pl9leUztLxIakuGiQpKuA71MOtC6jtONc3ZNH4U8pcqZ6YjDLmbKNpkGS/ovSKjcHHhvQ9fY/ZPC0outM9pU+vK7FplOZNn0OsIXt50t6MfB+24dXjhYRmykHutt0FPBq4FzbD0vakdL+tQ/mS9pyMFm3u3O1Zc1Ak/ubS9qe0kd/kaRF2UYzsu6n/LvGRkhax8TtUGM/otzhXjLLkaYyb9I2qJ+Qjocb1M2ceSdwULd0PaUN+K+qhRr3d8DLKJmwvUZSun9FNCDFRZu2A24FkLS0W+tLp6GVwFclfaK7PpYyu6E6SYcB5wG/SZnmvBNwN7BHzVwxbfcC10u6Gnh8sGj7vHqR+sn24toZ/h++JOkaSrcjKOcHvlAxzyj4MLCA8WGgb+vW3lEt0bhf2X5EmjCoO1spIhqQ4qJNV1NepEW5A/984Fv04EOy7bO79qCDQ3yn276mZqYhZwD7UbZavETSKyiDimI0fbf72oK0uBx5tk+R9Ebg97qlC21/tmamEbDPpG1j/9xtL+uDb0o6hvI0+4XAuyhzVSJixOXMxRwgaRlwgu0+3K3qLUm32n5p9+b7EttP9qVtY0yfpIW2f1Y7R8Rsk3Q7cKTt/+6udwEur3nGbUDSQmA58Kpu6RpKy/Rf1EsVETMhxcUcIWmt7b16kOMNwNnA9pQnK73Z0y3pK8ARlIPd21G2Ru1j++VVg8W0SNof+BiwyPZSSb8DHG/7hMrRYhOMyHmQXpL0SuATlC2CADsDx9q+rlqoSVL8R7QnxUWDJL176HIepWPUc2wfWinSmK6Dz2G1pzhPpZu98XPK39mfAFsDK9NtaDRJ+gbwJuDzgw5lku6yvWfdZBGzQ9JWwMmUbagPA7cA5/fh6YCklwMfJcV/RHNy5qJNw4cz11POYPxTpSyT/bCnhcV84Crbr6DMROjFIfPYPLbvn3RgNAO6Yi65CHgUOL27Pga4mDLdubbzgUOBzwPY/jdJB234j0TEKEhx0SDbKwAkLequf1o30QS3SroM+BwTO/h8pl4ksP2EpCclbd21po3Rd393d9RdS86TKN2/IuaKPW3vPnR9naTeTHRO8R/RphQXDZK0J+Xu1Lbd9Y+Bt9u+q2qwYgnwM8YP8UHZT121uOj8FFgr6cvAY4NF2++qFyk2w18AFwC/RRkqeS3wl1UTRcyu2yXtZ/tmAEn70rUp74EU/xGNypmLBkn6V2D54NCepN8HzszB5A2T9Pap1m1ni1REjBxJdwO7UloyAyyltCVfTzkMv3fFbNtRiv8/pJxzuwY4KWfcIkZfiosGTdU+tS8tVbsDhn9Gmbmx1WDd9p9WCxVN6qb9nkjpkDP2lNb24bUyRcwmSTtt6Oe2vzNbWSJi7si2qDbdK+m9lK1RUAbB3buB/382XUyZFn4o8H5KV6ZePAqX9G2maHlpe5cKcWLzfY7SivZKyiH9iDmlz8VDN3PjAsrgUgM3AX9juy/vVRExTXly0SBJzwZWAAdQXrS/Dqyw/VDVYICkO7rp13fa3rvba/t12/v1INtzhi63onRU2db2+ypFis0g6Ru2962dIyKeStLNwIeAT3VLbwZOzO9sxOhLcRGzStJq2y+TdANwAvAAsLqvTwck3Wb7d2vniE0n6RjghZSD3MOdyW6vFioiABjcYJq01ovtuxGxebItqkFdt6MjbT/cXT8buLQPQ/SAC7s8p1L6my8C3ls3UiFp2dDlPOCl5HdklO0FvA34A8a3Rbm7joi6vijpPcCllN/Lo4EvSNoWwPb/1gwXEdOXJxcNGmw92tjaLGd691TL3XfbPm8280xF0nWMn7lYD9wHnGv7P6qFimnrpsHvbvuXtbNExETdGbeBwevu8HtCL59mR8TG5a5sm56UtNT2dwEk7cwUB5Vn2WBq+K7APnRTWYHDgNVVEnWGCp+rKH9PY29wwGuB6oVPTMtdwDbAg7WDRMRT/C3wJduPdg1IlgGnZ9tixOhLcdGm5cCNkr5G+aB8IPDnNQMNTQ2/AVhme113fRpwdcVo8NTC5wrK31v1wic2yzbAPZJuYeKZi7SijajvVNurJB1A2ap4LvBhIAe6I0ZctkU1StL2lILiDuBZwIO2b6ibCiR9C9jb9uPd9ZbAnbZ3rZtsrPB5zVDhsxi42vZBdZPFdEg6eKp121+b7SwRMdFQ58CzgLW2L6m9fTciZkaeXDRI0juAk4DnAWsofcRvoh8HWS8CVkv6bHd9BPDJenEm2AEY3p//y24tRlCKiIhe+76kjwCHAGd3N5rmVc4UETMgTy4aJGktZXvPzbZfLGk34Ezbb6gcDRjrynRgd3mD7Ttq5hmQtBw4ChgufC6zfVa9VDFdktYxftZoC2AB8JjtJfVSRQSApIXAqylPLf5T0o7AXravrRwtIjZTiosGSbrF9j6S1gD72n5c0jdt71E7W9/1tfCJzSNJwOuA/Wy/p3aeiIiIVqW4aFC35ehY4K8pW6EeAhbY/uOqwSIqy57uiIiIZ1aKi8Z1h1q3prT8S7//mDMkDW8DHAxFPNj2/pUiRURENC8HuhuXQ60xhx029N+DoYivqxMlIiJibkhxERHNkTSf0uL4/NpZIiIi5pK0fYuI5th+AnhL7RwRERFzTc5cRESTJJ1PaT97GfDYYN327dVCRURENC7FRUQ0SdJ1Uyzbdh+GSUZERDQpxUVENEnSLrbv3dhaREREzJycuYiIVl0+xdqnZz1FRETEHJJuURHRFEm7AXsAW0+adbEE2KpOqoiIiLkhxUVEtGZX4LXANkycdbEOOK5KooiIiDkiZy4iokmS9rd9U+0cERERc0nOXEREq14vaYmkBZK+KulHkt5aO1RERETLUlxERKteZftRyhap+4DfBk6pmigiIqJxKS4iolULuu+vAT5t+5GaYSIiIuaCHOiOiFZdKeke4OfAOyU9F/hF5UwRERFNy4HuiGiWpG2BR2w/IWkhsMT2A7VzRUREtCpPLiKiZbsBO0safq27qFaYiIiI1qW4iIgmSboYeAGwBniiWzYpLiIiIp4x2RYVEU2SdDewu/MiFxERMWvSLSoiWnUX8Bu1Q0RERMwl2RYVEa3aDvh3SauBxweLtg+vFykiIqJtKS4iolWn1Q4QEREx1+TMRUREREREzIg8uYiIpki60fYBktZRukON/Qiw7SWVokVERDQvTy4iIiIiImJGpFtURERERETMiBQXERERERExI1JcRERERETEjEhxERERERERM+L/AAoHFv3csqgeAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 936x936 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zUs2lyhlHxM4",
        "outputId": "45882da6-14cd-4faf-ca07-9a9b4bf90872",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "(spotify_num['year'] > 1960).value_counts()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True     119656\n",
              "False     50253\n",
              "Name: year, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ssmiiiWnPKbS",
        "outputId": "f9b739fe-6bac-412c-f9d1-33b4cd1dcea6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "(spotify_num['year'] > 1940).value_counts()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True     154574\n",
              "False     15335\n",
              "Name: year, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S2G8LID0PP6G"
      },
      "source": [
        "mask = spotify_num['year'] > 1960"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xY9Mk0iAP2pc"
      },
      "source": [
        "spotify_num_1940 = spotify_num[mask]"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E1fA4CzbQaKN",
        "outputId": "dd068510-b1a3-4ca2-e20c-00dbf302ddab",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify_num.shape"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(169909, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ikva1_GgP7pF",
        "outputId": "021d034a-e1d6-4a8c-e187-1a601b995643",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify_num_1940.shape"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119656, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "29PV_Az2P9yd",
        "outputId": "c05170d5-2882-4c50-b3d7-bc9339c00008",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 684
        }
      },
      "source": [
        "spotify_num.corr()\n",
        "#correlación entre las columnas siendo 1 el maximo\n",
        "fig, ax = plt.subplots(figsize=(13,13))         # Sample figsize in inches\n",
        "sns.heatmap(spotify_num_1940.corr(), annot=True, fmt='.3f')"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f51ae205128>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x936 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0HSBqW8YSQum",
        "outputId": "353d2294-d299-4687-a52b-76adc3a4a1f9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "(spotify_num_1940['popularity'] > 80).value_counts()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False    119199\n",
              "True        457\n",
              "Name: popularity, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4eX9XL3_SmqO",
        "outputId": "fcdceb62-6f19-4300-ea27-a4d54458271c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify_num_1940.shape"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119656, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2GHhAxv1SrIt",
        "outputId": "360ed643-e36e-45ad-ecb5-57dff8b65c47",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "percent = (119199/119656)*100\n",
        "percent"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99.61807180584343"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RNkQn9_DTCX-",
        "outputId": "4bae8532-b37c-4b4c-a265-61c3d96a3f7b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "percent_true = (457/119656)*100\n",
        "percent_true"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.3819281941565822"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j8imOHKgTKCk",
        "outputId": "7cc4f743-1f9a-4452-afc0-7083f18f8a0b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "spotify_num_1940['popularity'].hist()\n",
        "plt.xlabel('Popularity')\n",
        "plt.ylabel('Numero de repeticiones')\n",
        "plt.title('Histogram of Popularity')"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Histogram of Popularity')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CB7aaPgYTz42",
        "outputId": "85faedd3-a4e3-4437-b384-7b7fa67f4984",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "spotify_num_1940['year'].hist()\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Numero de repeticiones')\n",
        "plt.title('Histogram of year')"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Histogram of year')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PiJo6r1gUfcc",
        "outputId": "d04dcc79-8156-40c3-8c5d-4bbea1044dab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        }
      },
      "source": [
        "spotify_num_1940.describe()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>key</th>\n",
              "      <th>liveness</th>\n",
              "      <th>loudness</th>\n",
              "      <th>mode</th>\n",
              "      <th>popularity</th>\n",
              "      <th>speechiness</th>\n",
              "      <th>tempo</th>\n",
              "      <th>valence</th>\n",
              "      <th>year</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>1.196560e+05</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "      <td>119656.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.342830</td>\n",
              "      <td>0.556205</td>\n",
              "      <td>2.384627e+05</td>\n",
              "      <td>0.578087</td>\n",
              "      <td>0.103179</td>\n",
              "      <td>0.104070</td>\n",
              "      <td>5.225496</td>\n",
              "      <td>0.202915</td>\n",
              "      <td>-9.873729</td>\n",
              "      <td>0.709166</td>\n",
              "      <td>42.400423</td>\n",
              "      <td>0.076758</td>\n",
              "      <td>119.895590</td>\n",
              "      <td>0.542732</td>\n",
              "      <td>1990.419110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.323012</td>\n",
              "      <td>0.172962</td>\n",
              "      <td>1.063395e+05</td>\n",
              "      <td>0.246520</td>\n",
              "      <td>0.304194</td>\n",
              "      <td>0.251717</td>\n",
              "      <td>3.537406</td>\n",
              "      <td>0.181097</td>\n",
              "      <td>5.036224</td>\n",
              "      <td>0.454149</td>\n",
              "      <td>14.997266</td>\n",
              "      <td>0.092404</td>\n",
              "      <td>30.032776</td>\n",
              "      <td>0.258144</td>\n",
              "      <td>17.276737</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.470800e+04</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-60.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1961.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.040900</td>\n",
              "      <td>0.440000</td>\n",
              "      <td>1.817330e+05</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.093700</td>\n",
              "      <td>-12.455000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>0.033500</td>\n",
              "      <td>96.581000</td>\n",
              "      <td>0.337000</td>\n",
              "      <td>1975.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.238000</td>\n",
              "      <td>0.564000</td>\n",
              "      <td>2.227800e+05</td>\n",
              "      <td>0.596000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000056</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.129000</td>\n",
              "      <td>-8.956000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>42.000000</td>\n",
              "      <td>0.043300</td>\n",
              "      <td>117.878500</td>\n",
              "      <td>0.552000</td>\n",
              "      <td>1990.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.622000</td>\n",
              "      <td>0.681000</td>\n",
              "      <td>2.715765e+05</td>\n",
              "      <td>0.780000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.011900</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>0.256000</td>\n",
              "      <td>-6.218000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>53.000000</td>\n",
              "      <td>0.071900</td>\n",
              "      <td>138.666250</td>\n",
              "      <td>0.758000</td>\n",
              "      <td>2005.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>0.996000</td>\n",
              "      <td>0.988000</td>\n",
              "      <td>5.403500e+06</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.744000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>0.964000</td>\n",
              "      <td>244.091000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2020.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        acousticness   danceability  ...        valence           year\n",
              "count  119656.000000  119656.000000  ...  119656.000000  119656.000000\n",
              "mean        0.342830       0.556205  ...       0.542732    1990.419110\n",
              "std         0.323012       0.172962  ...       0.258144      17.276737\n",
              "min         0.000000       0.000000  ...       0.000000    1961.000000\n",
              "25%         0.040900       0.440000  ...       0.337000    1975.000000\n",
              "50%         0.238000       0.564000  ...       0.552000    1990.000000\n",
              "75%         0.622000       0.681000  ...       0.758000    2005.000000\n",
              "max         0.996000       0.988000  ...       1.000000    2020.000000\n",
              "\n",
              "[8 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 217
        }
      },
      "source": [
        "spotify_num_1940.head()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
              "      <th>instrumentalness</th>\n",
              "      <th>key</th>\n",
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              "      <th>loudness</th>\n",
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              "      <th>speechiness</th>\n",
              "      <th>tempo</th>\n",
              "      <th>valence</th>\n",
              "      <th>year</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2154</th>\n",
              "      <td>0.729</td>\n",
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              "      <td>0.414</td>\n",
              "      <td>1961</td>\n",
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              "    <tr>\n",
              "      <th>2155</th>\n",
              "      <td>0.491</td>\n",
              "      <td>0.668</td>\n",
              "      <td>204627</td>\n",
              "      <td>0.453</td>\n",
              "      <td>0</td>\n",
              "      <td>0.7740</td>\n",
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              "      <td>0.565</td>\n",
              "      <td>-16.417</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>0.0535</td>\n",
              "      <td>97.732</td>\n",
              "      <td>0.354</td>\n",
              "      <td>1961</td>\n",
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              "    <tr>\n",
              "      <th>2156</th>\n",
              "      <td>0.961</td>\n",
              "      <td>0.275</td>\n",
              "      <td>187933</td>\n",
              "      <td>0.110</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8880</td>\n",
              "      <td>7</td>\n",
              "      <td>0.108</td>\n",
              "      <td>-20.325</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>0.0356</td>\n",
              "      <td>166.733</td>\n",
              "      <td>0.466</td>\n",
              "      <td>1961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2157</th>\n",
              "      <td>0.954</td>\n",
              "      <td>0.337</td>\n",
              "      <td>447453</td>\n",
              "      <td>0.130</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6980</td>\n",
              "      <td>3</td>\n",
              "      <td>0.320</td>\n",
              "      <td>-15.557</td>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>0.0403</td>\n",
              "      <td>58.813</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2158</th>\n",
              "      <td>0.789</td>\n",
              "      <td>0.466</td>\n",
              "      <td>247133</td>\n",
              "      <td>0.205</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>5</td>\n",
              "      <td>0.099</td>\n",
              "      <td>-12.981</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>0.0315</td>\n",
              "      <td>84.211</td>\n",
              "      <td>0.502</td>\n",
              "      <td>1961</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      acousticness  danceability  duration_ms  ...    tempo  valence  year\n",
              "2154         0.729         0.497       377600  ...  109.284    0.414  1961\n",
              "2155         0.491         0.668       204627  ...   97.732    0.354  1961\n",
              "2156         0.961         0.275       187933  ...  166.733    0.466  1961\n",
              "2157         0.954         0.337       447453  ...   58.813    0.200  1961\n",
              "2158         0.789         0.466       247133  ...   84.211    0.502  1961\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nY3jFQn-Z7M9",
        "outputId": "295ddbb8-9f8f-475f-f7d2-cffdc2f9ee8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 97
        }
      },
      "source": [
        "spotify_num_1940.notnull().apply(pd.Series.value_counts)"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
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              "      <td>119656</td>\n",
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              "      <td>119656</td>\n",
              "      <td>119656</td>\n",
              "      <td>119656</td>\n",
              "      <td>119656</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      acousticness  danceability  duration_ms  ...   tempo  valence    year\n",
              "True        119656        119656       119656  ...  119656   119656  119656\n",
              "\n",
              "[1 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
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        "outputId": "87c531a2-0620-4825-bbc3-96998b69675e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 127
        }
      },
      "source": [
        "(spotify_num_1940 != 0).apply(pd.Series.value_counts)"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>acousticness</th>\n",
              "      <th>danceability</th>\n",
              "      <th>duration_ms</th>\n",
              "      <th>energy</th>\n",
              "      <th>explicit</th>\n",
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              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>True</th>\n",
              "      <td>119643</td>\n",
              "      <td>119565</td>\n",
              "      <td>119656.0</td>\n",
              "      <td>119653</td>\n",
              "      <td>12346</td>\n",
              "      <td>83108</td>\n",
              "      <td>104642</td>\n",
              "      <td>119651</td>\n",
              "      <td>119656.0</td>\n",
              "      <td>84856</td>\n",
              "      <td>119578</td>\n",
              "      <td>119564</td>\n",
              "      <td>119565</td>\n",
              "      <td>119560</td>\n",
              "      <td>119656.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       acousticness  danceability  duration_ms  ...   tempo  valence      year\n",
              "False            13            91          NaN  ...      91       96       NaN\n",
              "True         119643        119565     119656.0  ...  119565   119560  119656.0\n",
              "\n",
              "[2 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jj_7Z0Soatdn"
      },
      "source": [
        "spotify_num_1940.index = np.arange(0,len(spotify_num_1940), 1)"
      ],
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bFHICeoebg3O",
        "outputId": "0e051388-f053-4ff4-a221-8143a2724cc6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "spotify_num_1940.index"
      ],
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Int64Index([     0,      1,      2,      3,      4,      5,      6,      7,\n",
              "                 8,      9,\n",
              "            ...\n",
              "            119646, 119647, 119648, 119649, 119650, 119651, 119652, 119653,\n",
              "            119654, 119655],\n",
              "           dtype='int64', length=119656)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ckhmZuqUbnWN",
        "outputId": "9ecc140d-2978-404a-cc3c-3b7f2c493bfb",
        "colab": {
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          "height": 426
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      },
      "source": [
        "spotify_num_1940"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>acousticness</th>\n",
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              "      <th>speechiness</th>\n",
              "      <th>tempo</th>\n",
              "      <th>valence</th>\n",
              "      <th>year</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.7290</td>\n",
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              "      <td>109.284</td>\n",
              "      <td>0.414</td>\n",
              "      <td>1961</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.4910</td>\n",
              "      <td>0.668</td>\n",
              "      <td>204627</td>\n",
              "      <td>0.453</td>\n",
              "      <td>0</td>\n",
              "      <td>0.774000</td>\n",
              "      <td>2</td>\n",
              "      <td>0.5650</td>\n",
              "      <td>-16.417</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>0.0535</td>\n",
              "      <td>97.732</td>\n",
              "      <td>0.354</td>\n",
              "      <td>1961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.9610</td>\n",
              "      <td>0.275</td>\n",
              "      <td>187933</td>\n",
              "      <td>0.110</td>\n",
              "      <td>0</td>\n",
              "      <td>0.888000</td>\n",
              "      <td>7</td>\n",
              "      <td>0.1080</td>\n",
              "      <td>-20.325</td>\n",
              "      <td>1</td>\n",
              "      <td>13</td>\n",
              "      <td>0.0356</td>\n",
              "      <td>166.733</td>\n",
              "      <td>0.466</td>\n",
              "      <td>1961</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.9540</td>\n",
              "      <td>0.337</td>\n",
              "      <td>447453</td>\n",
              "      <td>0.130</td>\n",
              "      <td>0</td>\n",
              "      <td>0.698000</td>\n",
              "      <td>3</td>\n",
              "      <td>0.3200</td>\n",
              "      <td>-15.557</td>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>0.0403</td>\n",
              "      <td>58.813</td>\n",
              "      <td>0.200</td>\n",
              "      <td>1961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.7890</td>\n",
              "      <td>0.466</td>\n",
              "      <td>247133</td>\n",
              "      <td>0.205</td>\n",
              "      <td>0</td>\n",
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              "      <td>5</td>\n",
              "      <td>0.0990</td>\n",
              "      <td>-12.981</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>0.0315</td>\n",
              "      <td>84.211</td>\n",
              "      <td>0.502</td>\n",
              "      <td>1961</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "    <tr>\n",
              "      <th>119651</th>\n",
              "      <td>0.1730</td>\n",
              "      <td>0.875</td>\n",
              "      <td>163800</td>\n",
              "      <td>0.443</td>\n",
              "      <td>1</td>\n",
              "      <td>0.000032</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0891</td>\n",
              "      <td>-7.461</td>\n",
              "      <td>1</td>\n",
              "      <td>75</td>\n",
              "      <td>0.1430</td>\n",
              "      <td>100.012</td>\n",
              "      <td>0.306</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119652</th>\n",
              "      <td>0.0167</td>\n",
              "      <td>0.719</td>\n",
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              "      <td>0</td>\n",
              "      <td>0.031300</td>\n",
              "      <td>8</td>\n",
              "      <td>0.1110</td>\n",
              "      <td>-10.907</td>\n",
              "      <td>1</td>\n",
              "      <td>64</td>\n",
              "      <td>0.0403</td>\n",
              "      <td>128.000</td>\n",
              "      <td>0.270</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119653</th>\n",
              "      <td>0.5380</td>\n",
              "      <td>0.514</td>\n",
              "      <td>180700</td>\n",
              "      <td>0.539</td>\n",
              "      <td>0</td>\n",
              "      <td>0.002330</td>\n",
              "      <td>7</td>\n",
              "      <td>0.1080</td>\n",
              "      <td>-9.332</td>\n",
              "      <td>1</td>\n",
              "      <td>70</td>\n",
              "      <td>0.1050</td>\n",
              "      <td>123.700</td>\n",
              "      <td>0.153</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119654</th>\n",
              "      <td>0.0714</td>\n",
              "      <td>0.646</td>\n",
              "      <td>167308</td>\n",
              "      <td>0.761</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1</td>\n",
              "      <td>0.2220</td>\n",
              "      <td>-2.557</td>\n",
              "      <td>1</td>\n",
              "      <td>70</td>\n",
              "      <td>0.0385</td>\n",
              "      <td>129.916</td>\n",
              "      <td>0.472</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119655</th>\n",
              "      <td>0.1090</td>\n",
              "      <td>0.512</td>\n",
              "      <td>214787</td>\n",
              "      <td>0.428</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0</td>\n",
              "      <td>0.1050</td>\n",
              "      <td>-7.387</td>\n",
              "      <td>1</td>\n",
              "      <td>65</td>\n",
              "      <td>0.0271</td>\n",
              "      <td>80.588</td>\n",
              "      <td>0.366</td>\n",
              "      <td>2020</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>119656 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        acousticness  danceability  duration_ms  ...    tempo  valence  year\n",
              "0             0.7290         0.497       377600  ...  109.284    0.414  1961\n",
              "1             0.4910         0.668       204627  ...   97.732    0.354  1961\n",
              "2             0.9610         0.275       187933  ...  166.733    0.466  1961\n",
              "3             0.9540         0.337       447453  ...   58.813    0.200  1961\n",
              "4             0.7890         0.466       247133  ...   84.211    0.502  1961\n",
              "...              ...           ...          ...  ...      ...      ...   ...\n",
              "119651        0.1730         0.875       163800  ...  100.012    0.306  2020\n",
              "119652        0.0167         0.719       167468  ...  128.000    0.270  2020\n",
              "119653        0.5380         0.514       180700  ...  123.700    0.153  2020\n",
              "119654        0.0714         0.646       167308  ...  129.916    0.472  2020\n",
              "119655        0.1090         0.512       214787  ...   80.588    0.366  2020\n",
              "\n",
              "[119656 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "czT75PlRb7Hc"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}