Practice_Exploration_Diamonds_Data_Set.ipynb

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  "metadata": {
    "colab": {
      "name": "Practice Exploration Diamonds Data Set",
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      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/juansvas/testing_repo/blob/master/Practice_Exploration_Diamonds_Data_Set.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_n5xRMZX1CP",
        "colab_type": "text"
      },
      "source": [
        "**Data Exploration Practice with the Diamonds Data Set**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6cY3Tc34X-oV",
        "colab_type": "text"
      },
      "source": [
        "**Import Libraries and Read CSV into DataFrame**\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b-P7s5LlAT4P",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from google.colab import files\n",
        "import io"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GbVnNfJabq0g",
        "colab_type": "code",
        "outputId": "8dbace3d-e90d-4e55-b325-fccb402e017a",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
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              "ok": true,
              "headers": [
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                  "content-type",
                  "application/javascript"
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              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        }
      },
      "source": [
        "uploaded = files.upload()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-3cf44343-e4ed-4690-a46d-14f4c9bbc6c8\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-3cf44343-e4ed-4690-a46d-14f4c9bbc6c8\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving diamonds.csv to diamonds.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0py_5gZcBcHR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv(io.BytesIO(uploaded['diamonds.csv']))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FEzchdPIB3Vp",
        "colab_type": "code",
        "outputId": "41af4af1-00b4-47d3-ab40-cddfd4f93108",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        }
      },
      "source": [
        "df.head()\n",
        "df.drop(labels=\"Unnamed: 0\", axis=1)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>carat</th>\n",
              "      <th>cut</th>\n",
              "      <th>color</th>\n",
              "      <th>clarity</th>\n",
              "      <th>depth</th>\n",
              "      <th>table</th>\n",
              "      <th>price</th>\n",
              "      <th>x</th>\n",
              "      <th>y</th>\n",
              "      <th>z</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.23</td>\n",
              "      <td>Ideal</td>\n",
              "      <td>E</td>\n",
              "      <td>SI2</td>\n",
              "      <td>61.5</td>\n",
              "      <td>55.0</td>\n",
              "      <td>326</td>\n",
              "      <td>3.95</td>\n",
              "      <td>3.98</td>\n",
              "      <td>2.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.21</td>\n",
              "      <td>Premium</td>\n",
              "      <td>E</td>\n",
              "      <td>SI1</td>\n",
              "      <td>59.8</td>\n",
              "      <td>61.0</td>\n",
              "      <td>326</td>\n",
              "      <td>3.89</td>\n",
              "      <td>3.84</td>\n",
              "      <td>2.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.23</td>\n",
              "      <td>Good</td>\n",
              "      <td>E</td>\n",
              "      <td>VS1</td>\n",
              "      <td>56.9</td>\n",
              "      <td>65.0</td>\n",
              "      <td>327</td>\n",
              "      <td>4.05</td>\n",
              "      <td>4.07</td>\n",
              "      <td>2.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.29</td>\n",
              "      <td>Premium</td>\n",
              "      <td>I</td>\n",
              "      <td>VS2</td>\n",
              "      <td>62.4</td>\n",
              "      <td>58.0</td>\n",
              "      <td>334</td>\n",
              "      <td>4.20</td>\n",
              "      <td>4.23</td>\n",
              "      <td>2.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.31</td>\n",
              "      <td>Good</td>\n",
              "      <td>J</td>\n",
              "      <td>SI2</td>\n",
              "      <td>63.3</td>\n",
              "      <td>58.0</td>\n",
              "      <td>335</td>\n",
              "      <td>4.34</td>\n",
              "      <td>4.35</td>\n",
              "      <td>2.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53935</th>\n",
              "      <td>0.72</td>\n",
              "      <td>Ideal</td>\n",
              "      <td>D</td>\n",
              "      <td>SI1</td>\n",
              "      <td>60.8</td>\n",
              "      <td>57.0</td>\n",
              "      <td>2757</td>\n",
              "      <td>5.75</td>\n",
              "      <td>5.76</td>\n",
              "      <td>3.50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53936</th>\n",
              "      <td>0.72</td>\n",
              "      <td>Good</td>\n",
              "      <td>D</td>\n",
              "      <td>SI1</td>\n",
              "      <td>63.1</td>\n",
              "      <td>55.0</td>\n",
              "      <td>2757</td>\n",
              "      <td>5.69</td>\n",
              "      <td>5.75</td>\n",
              "      <td>3.61</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53937</th>\n",
              "      <td>0.70</td>\n",
              "      <td>Very Good</td>\n",
              "      <td>D</td>\n",
              "      <td>SI1</td>\n",
              "      <td>62.8</td>\n",
              "      <td>60.0</td>\n",
              "      <td>2757</td>\n",
              "      <td>5.66</td>\n",
              "      <td>5.68</td>\n",
              "      <td>3.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53938</th>\n",
              "      <td>0.86</td>\n",
              "      <td>Premium</td>\n",
              "      <td>H</td>\n",
              "      <td>SI2</td>\n",
              "      <td>61.0</td>\n",
              "      <td>58.0</td>\n",
              "      <td>2757</td>\n",
              "      <td>6.15</td>\n",
              "      <td>6.12</td>\n",
              "      <td>3.74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53939</th>\n",
              "      <td>0.75</td>\n",
              "      <td>Ideal</td>\n",
              "      <td>D</td>\n",
              "      <td>SI2</td>\n",
              "      <td>62.2</td>\n",
              "      <td>55.0</td>\n",
              "      <td>2757</td>\n",
              "      <td>5.83</td>\n",
              "      <td>5.87</td>\n",
              "      <td>3.64</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>53940 rows × 10 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       carat        cut color clarity  depth  table  price     x     y     z\n",
              "0       0.23      Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43\n",
              "1       0.21    Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31\n",
              "2       0.23       Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31\n",
              "3       0.29    Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63\n",
              "4       0.31       Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75\n",
              "...      ...        ...   ...     ...    ...    ...    ...   ...   ...   ...\n",
              "53935   0.72      Ideal     D     SI1   60.8   57.0   2757  5.75  5.76  3.50\n",
              "53936   0.72       Good     D     SI1   63.1   55.0   2757  5.69  5.75  3.61\n",
              "53937   0.70  Very Good     D     SI1   62.8   60.0   2757  5.66  5.68  3.56\n",
              "53938   0.86    Premium     H     SI2   61.0   58.0   2757  6.15  6.12  3.74\n",
              "53939   0.75      Ideal     D     SI2   62.2   55.0   2757  5.83  5.87  3.64\n",
              "\n",
              "[53940 rows x 10 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qo513Jg9YUmf",
        "colab_type": "text"
      },
      "source": [
        "**Attribute Exploration**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LOyjcn2_B9HO",
        "colab_type": "code",
        "outputId": "ed61be54-4f93-4159-b69b-3f4964b80f43",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        }
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 53940 entries, 0 to 53939\n",
            "Data columns (total 11 columns):\n",
            "Unnamed: 0    53940 non-null int64\n",
            "carat         53940 non-null float64\n",
            "cut           53940 non-null object\n",
            "color         53940 non-null object\n",
            "clarity       53940 non-null object\n",
            "depth         53940 non-null float64\n",
            "table         53940 non-null float64\n",
            "price         53940 non-null int64\n",
            "x             53940 non-null float64\n",
            "y             53940 non-null float64\n",
            "z             53940 non-null float64\n",
            "dtypes: float64(6), int64(2), object(3)\n",
            "memory usage: 4.5+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rlZNKuemCB9P",
        "colab_type": "code",
        "outputId": "c904b114-9520-46f3-a97e-96574a689a9d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 230
        }
      },
      "source": [
        "df['clarity'].value_counts"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<bound method IndexOpsMixin.value_counts of 0        SI2\n",
              "1        SI1\n",
              "2        VS1\n",
              "3        VS2\n",
              "4        SI2\n",
              "        ... \n",
              "53935    SI1\n",
              "53936    SI1\n",
              "53937    SI1\n",
              "53938    SI2\n",
              "53939    SI2\n",
              "Name: clarity, Length: 53940, dtype: object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vsxc7wt6Yb5U",
        "colab_type": "text"
      },
      "source": [
        "**Summary Statistics**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kHIhXOMLCJcd",
        "colab_type": "code",
        "outputId": "d23d6a27-bec2-4d16-9d30-7d39ea7f57a7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 287
        }
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 0,
      "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>Unnamed: 0</th>\n",
              "      <th>carat</th>\n",
              "      <th>depth</th>\n",
              "      <th>table</th>\n",
              "      <th>price</th>\n",
              "      <th>x</th>\n",
              "      <th>y</th>\n",
              "      <th>z</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "      <td>53940.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>26970.500000</td>\n",
              "      <td>0.797940</td>\n",
              "      <td>61.749405</td>\n",
              "      <td>57.457184</td>\n",
              "      <td>3932.799722</td>\n",
              "      <td>5.731157</td>\n",
              "      <td>5.734526</td>\n",
              "      <td>3.538734</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>15571.281097</td>\n",
              "      <td>0.474011</td>\n",
              "      <td>1.432621</td>\n",
              "      <td>2.234491</td>\n",
              "      <td>3989.439738</td>\n",
              "      <td>1.121761</td>\n",
              "      <td>1.142135</td>\n",
              "      <td>0.705699</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>43.000000</td>\n",
              "      <td>43.000000</td>\n",
              "      <td>326.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>13485.750000</td>\n",
              "      <td>0.400000</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>56.000000</td>\n",
              "      <td>950.000000</td>\n",
              "      <td>4.710000</td>\n",
              "      <td>4.720000</td>\n",
              "      <td>2.910000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>26970.500000</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>61.800000</td>\n",
              "      <td>57.000000</td>\n",
              "      <td>2401.000000</td>\n",
              "      <td>5.700000</td>\n",
              "      <td>5.710000</td>\n",
              "      <td>3.530000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>40455.250000</td>\n",
              "      <td>1.040000</td>\n",
              "      <td>62.500000</td>\n",
              "      <td>59.000000</td>\n",
              "      <td>5324.250000</td>\n",
              "      <td>6.540000</td>\n",
              "      <td>6.540000</td>\n",
              "      <td>4.040000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>53940.000000</td>\n",
              "      <td>5.010000</td>\n",
              "      <td>79.000000</td>\n",
              "      <td>95.000000</td>\n",
              "      <td>18823.000000</td>\n",
              "      <td>10.740000</td>\n",
              "      <td>58.900000</td>\n",
              "      <td>31.800000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Unnamed: 0         carat  ...             y             z\n",
              "count  53940.000000  53940.000000  ...  53940.000000  53940.000000\n",
              "mean   26970.500000      0.797940  ...      5.734526      3.538734\n",
              "std    15571.281097      0.474011  ...      1.142135      0.705699\n",
              "min        1.000000      0.200000  ...      0.000000      0.000000\n",
              "25%    13485.750000      0.400000  ...      4.720000      2.910000\n",
              "50%    26970.500000      0.700000  ...      5.710000      3.530000\n",
              "75%    40455.250000      1.040000  ...      6.540000      4.040000\n",
              "max    53940.000000      5.010000  ...     58.900000     31.800000\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dQTG-4QyYgLV",
        "colab_type": "text"
      },
      "source": [
        "**Attributes Histograms Platter**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jxCJ1qYKCaNu",
        "colab_type": "code",
        "outputId": "20df3ffc-d4d8-4ae7-8197-750acad9d0c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "df.hist(bins=50, figsize=(20,20))\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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RRPqRqqoktYjH2w5sBxgfH6+JiYkjPsYfXXMD776rr2kvqa0bp8xnyC23nMynt73nTSzq\n8SRJkiRpGPRjdravtWFqtN8Pt/YDwAld/da1trnaJUmSJEmSNCT6UUTaBUzPsLYZuKGr/fw2S9tp\nwGNt2NvNwBlJ1rQHap/R2iRJkiRJkjQkFjSGI8mHgAngeUn205ll7TLguiQXAg8Ar2ndbwJeDuwB\nvgO8DqCqDiZ5O3B763dJVc18WLckSZIkSZIGaEFFpKp67RybTp+lbwEXzXGcHcCOhcQiSZIkSZKk\n/unHcDZJkiRJkiQtMxaRJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEmSJEk9WUSSJEmSJElSTwuanU2S\nJEmSJPXf+m03DjoEyTuRJEmSJEmS1JtFJEnSkkiyI8nDSb7U1XZskt1J7mu/17T2JLkyyZ4kdyY5\nuWufza3/fUk2d7X/XJK72j5XJsnSZihJkiQtbxaRJElL5YPAWTPatgG3VNUG4Ja2DnA2sKH9bAHe\nD52iE3AxcCpwCnDxdOGp9fmNrv1mnkuSJEnSAlhEkiQtiar6FHBwRvMmYGdb3gmc09V+dXXcCqxO\ncjxwJrC7qg5W1SPAbuCstu05VXVrVRVwddexJEmSJC0CH6wtSRqksap6sC0/BIy15bXAvq5++1vb\nU7Xvn6X9SZJsoXN3E2NjY0xOTnLo0CEmJycXlgmwdePUk9oW47iLabFyHXYrJU8w1+VopeQpSRo9\nFpEkSUOhqipJLcF5tgPbAcbHx2tiYoLJyUkmJiYWfOwLZpk1Ze95Cz/uYlqsXIfdSskTzHU5Wil5\nSpJGj8PZJEmD9LU2FI32++HWfgA4oavfutb2VO3rZmmXJEmStEgsIkmSBmkXMD3D2mbghq7289ss\nbacBj7VhbzcDZyRZ0x6ofQZwc9v2rSSntVnZzu86liRJkqRF4HA2SdKSSPIhYAJ4XpL9dGZZuwy4\nLsmFwAPAa1r3m4CXA3uA7wCvA6iqg0neDtze+l1SVdMP6/5NOjPAHQP8dfuRJEmStEgsIkmSlkRV\nvXaOTafP0reAi+Y4zg5gxyztnwNevJAYJUnDK8kO4JXAw1X14tb2n4BfBr4P/D3wuqp6tG17G3Ah\n8EPgjVV1c2s/C7gCOAr4QFVd1tpPBK4FjgPuAH6tqr6/dBlK0vBzOJskSZKkUfBB4KwZbbuBF1fV\nzwB/B7wNIMlJwLnAi9o+70tyVJKjgPcCZwMnAa9tfQHeCVxeVS8AHqFTgJIkdbGIJEmSJGnoVdWn\ngIMz2j5eVVNt9VYen2RhE3BtVX2vqr5CZ3j0Ke1nT1Xd3+4yuhbY1J6n9zLg+rb/TuCcviYkSSPI\nIpIkSZKk5eDf8vjz8NYC+7q27W9tc7UfBzzaVZCabpckdfGZSJIkSZJGWpLfBaaAa5bofFuALQBj\nY2NMTk4uxWmf4NChQwM57+EwtvnpFdvWjVNzbptpsXMc5b/bIA1zbDC/+CwiSZIkSRpZSS6g88Dt\n09vEDAAHgBO6uq1rbczR/k1gdZJV7W6k7v5PUlXbge0A4+PjNTExsfBEjtDk5CSDOO/hMLb56RXb\nBdtuPOxj7T1v7uPMxyj/3QZpmGOD+cXncDZJkiRJI6nNtPYW4Feq6jtdm3YB5yZ5Wpt1bQPwWeB2\nYEOSE5McTefh27ta8emTwKva/puBG5YqD0kaFRaRJEmSJA29JB8CPgO8MMn+JBcC7wGeDexO8sUk\nfwxQVXcD1wH3AB8DLqqqH7a7jF4P3AzcC1zX+gK8FXhzkj10npF01RKmJ0kjweFskiRJkoZeVb12\nluY5Cz1VdSlw6SztNwE3zdJ+P53Z2yRJc/BOJEmSJEmSJPVkEUmSJEmSJEk9WUSSJEmSJElSTxaR\nJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEmSJEk9WUSSJEmSJElSTxaRJEmSJEmS1JNFJEmSJEmSJPVk\nEUmSJEmSJEk9WUSSJEmSJElSTxaRJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEmSJEk9WUSSJEmSJElS\nTxaRJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEmSJEk9WUSSJEmSJElSTxaRJEmSJEmS1FPfikhJfjvJ\n3Um+lORDSZ6e5MQktyXZk+TDSY5ufZ/W1ve07ev7FZckSZIkSZKOXF+KSEnWAm8ExqvqxcBRwLnA\nO4HLq+oFwCPAhW2XC4FHWvvlrZ8kSZIkSZKGRD+Hs60CjkmyCngG8CDwMuD6tn0ncE5b3tTWadtP\nT5I+xiZJkiRJkqQjsKofB62qA0neBXwV+Cfg48AdwKNVNdW67QfWtuW1wL6271SSx4DjgG90HzfJ\nFmALwNjYGJOTk0cc29gxsHXjVO+OI8J8ht9yy8l8epvPa5MkSZIkDbu+FJGSrKFzd9GJwKPAR4Cz\nFnrcqtoObAcYHx+viYmJIz7GH11zA+++qy9pD8TWjVPmM+SWW07m09ve8yYW9XiSJEmSNAz6NZzt\nl4CvVNXXq+oHwEeBlwKr2/A2gHXAgbZ8ADgBoG1/LvDNPsUmSZIkSZKkI9SvItJXgdOSPKM92+h0\n4B7gk8CrWp/NwA1teVdbp23/RFVVn2KTJEmSJEnSEepLEamqbqPzgOzPA3e182wH3gq8OckeOs88\nuqrtchVwXGt/M7CtH3FJkiRJkiRpfvr2YJOquhi4eEbz/cAps/T9LvDqfsUiSZIkSZKkhenXcDZJ\nkiRJkiQtIxaRJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEnSSEiyI8nDSb7U1XZskt1J7mu/17T2JLky\nyZ4kdyY5uWufza3/fUk2d7X/XJK72j5XtpmmJUmNRSRJ0kAl+e0kdyf5UpIPJXl6khOT3NbexH84\nydGt79Pa+p62fX3Xcd7W2r+c5MxB5SNJ6qsPAmfNaNsG3FJVG4BbeHym57OBDe1nC/B+6BSd6EwA\ndCqdSX8uni48tT6/0bXfzHNJ0opmEUmSNDBJ1gJvBMar6sXAUcC5wDuBy6vqBcAjwIVtlwuBR1r7\n5a0fSU5q+72Izhv+9yU5ailzkST1X1V9Cjg4o3kTsLMt7wTO6Wq/ujpuBVYnOR44E9hdVQer6hFg\nN3BW2/acqrq1qgq4uutYkiRg1aADkCSteKuAY5L8AHgG8CDwMuBX2/adwO/T+XZ4U1sGuB54Txtq\nsAm4tqq+B3wlyR463y5/ZolykCQNzlhVPdiWHwLG2vJaYF9Xv/2t7ana98/S/iRJttC5u4mxsTEm\nJycXlsE8HDp0aCDnPRzGNj+9Ytu6ceqwj7XYOY7y322Qhjk2mF98FpEkSQNTVQeSvAv4KvBPwMeB\nO4BHq2r6nVL3m/gfvfGvqqkkjwHHtfZbuw59RG/8F+sCP9ubu2F74zDsb2YWy0rJE8x1OVopefZD\nVVWSWoLzbAe2A4yPj9fExES/T/kkk5OTDOK8h8PY5qdXbBdsu/Gwj7X3vLmPMx+j/HcbpGGODeYX\nn0UkSdLAtGdQbAJOBB4FPkKfnz8x2xv/xbrAz/bmbrHfxC3UsL+ZWSwrJU8w1+VopeS5iL6W5Piq\nerANSXu4tR8ATujqt661HQAmZrRPtvZ1s/SXJDU+E0mSNEi/BHylqr5eVT8APgq8lM5zK6a/6Oh+\nE/+jDwRt+3OBbzL3BwVJ0vK3C5ieYW0zcENX+/ltlrbTgMfasLebgTOSrGlfZpwB3Ny2fSvJaW2o\n9Pldx5IkYRFJkjRYXwVOS/KM9ob9dOAe4JPAq1qfmR8Ipj8ovAr4RHv46S7g3DZ724l0ZtT57BLl\nIElaIkk+ROd5dy9Msj/JhcBlwL9Och+dLycua91vAu4H9gB/AvwmQFUdBN4O3N5+LmlttD4faPv8\nPfDXS5GXJI0Kh7NJkgamqm5Lcj3weWAK+AKdoWY3AtcmeUdru6rtchXwZ+3B2QfpzMhGVd2d5Do6\nBagp4KKq+uGSJiNJ6ruqeu0cm06fpW8BF81xnB3AjlnaPwe8eCExStJyZhFJkjRQVXUxcPGM5vvp\nzK42s+93gVfPcZxLgUsXPUBJkiRJgMPZJEmSJEmSdBgsIkmSJEmSJKkni0iSJEmSJEnqySKSJEmS\nJEmSerKIJEmSJEmSpJ4sIkmSJEmSJKkni0iSJEmSJEnqySKSJEmSJEmSerKIJEmSJEmSpJ4sIkmS\nJEmSJKkni0iSJEmSJEnqySKSJEmSJEmSerKIJEmSJEmSpJ4sIkmSJEmSJKkni0iSJEmSJEnqySKS\nJEmSJEmSerKIJEmSJEmSpJ4sIkmSJEmSJKkni0iSJEmSJEnqySKSJEmSJEmSerKIJEmSJEmSpJ4s\nIkmSJEmSJKkni0iSJEmSJEnqySKSJEmSJEmSerKIJEmSJEmSpJ4sIkmSJEmSJKmnVYMOQJIkSZIk\nLZ71226ctX3vZa9Y4ki03HgnkiRJkiRJknqyiCRJkiRJkqSeLCJJkiRJkiSpJ4tIkiRJkkZakt9O\ncneSLyX5UJKnJzkxyW1J9iT5cJKjW9+ntfU9bfv6ruO8rbV/OcmZg8pHkoZV34pISVYnuT7J3ya5\nN8nPJzk2ye4k97Xfa1rfJLmyvWDfmeTkfsUlSdJKtH7bjazfdiN3HXjsR8tzPXRTkkZJkrXAG4Hx\nqnoxcBRwLvBO4PKqegHwCHBh2+VC4JHWfnnrR5KT2n4vAs4C3pfkqKXMRZKGXT/vRLoC+FhV/TTw\nEuBeYBtwS1VtAG5p6wBnAxvazxbg/X2MS5IkSdLysgo4Jskq4BnAg8DLgOvb9p3AOW15U1unbT89\nSVr7tVX1var6CrAHOGWJ4pekkbCqHwdN8lzgF4ALAKrq+8D3k2wCJlq3ncAk8FY6L9hXV1UBt7a7\nmI6vqgf7EZ8kSZKk5aGqDiR5F/BV4J+AjwN3AI9W1VTrth9Y25bXAvvavlNJHgOOa+23dh26e58n\nSLKFzpffjI2NMTk5uZgpHZZDhw4N5LyHw9jmp1dsWzdOzbntcM0391H+uw3SMMcG84uvL0Uk4ETg\n68CfJnkJnRfxNwFjXYWhh4CxtvyjF/Jm+gXbIpIkSZKkObVHZGyi8xnkUeAjdIaj9U1VbQe2A4yP\nj9fExEQ/TzeryclJBnHew2Fs89MrtgsWYRj63vPmPv5TGeW/2yANc2wwv/j6VURaBZwMvKGqbkty\nBY8PXQOgqipJHclBF6PiP3bM4lRwh4X5DL/llpP59DbM3zZIkrQM/RLwlar6OkCSjwIvBVYnWdXu\nRloHHGj9DwAnAPvb8LfnAt/sap/WvY8kif4VkfYD+6vqtrZ+PZ0i0temh6klOR54uG0/rBfsxaj4\n/9E1N/Duu/qV9tLbunHKfIbccsvJfHqb7zc8kiRpXr4KnJbkGXSGs50OfA74JPAq4FpgM3BD67+r\nrX+mbf9E+4J7F/AXSf4AeD6d57V+dikTkaRh15dPglX1UJJ9SV5YVV+m80J+T/vZDFzGk1/IX5/k\nWuBU4DGfhyRJWs5mmxlt72WvGEAkkjTa2siH64HPA1PAF+h88XwjcG2Sd7S2q9ouVwF/lmQPcJDO\njGxU1d1JrqPzmWUKuKiqfrikyUjSkOvn7QRvAK5JcjRwP/A6OrPBXZfkQuAB4DWt703Ay+nMgPCd\n1leSJEmSeqqqi4GLZzTfzyyzq1XVd4FXz3GcS4FLFz1ASVom+lZEqqovAuOzbDp9lr4FXNSvWCRJ\nkiRJkrQwPzboACRJkiRJkjT8LCJJkgYqyeok1yf52yT3Jvn5JMcm2Z3kvvZ7TeubJFcm2ZPkziQn\ndx1nc+t/X5LNg8tIkiRJWp4sIkmSBu0K4GNV9dPAS4B76czoeUtVbQBuaesAZ9OZLWcDsAV4P0CS\nY+k8C+NUOs+/uHi68CRJkiRpcVhEkiQNTJLnAr9AmzGnqr5fVY8Cm4CdrdtO4Jy2vAm4ujpuBVYn\nOR44E9hdVQer6hFgN3DWEqYiSZIkLXv9nJ1NkqReTgS+DvxpkpcAdwBvAsaq6sHW5yFgrC2vBfZ1\n7b+/tc3V/iRJttC5i4mxsTEmJyc5dOgQk5OTC05m68apJ7XNddwj6bsYps83dswTz93Pcw7SYv03\nHQXmuvyslDwlSaPHIpIkaZBWAScDb6iq25JcweND14DODJ5JarFOWFXbge0A4+PjNTExweTkJBMT\nEws+9gXbbnxS297zZj/ukfRdDNPn27pxinff9fjlv5/nHKTF+m86Csx1+VkpeUqSRo/D2SRJg7Qf\n2F9Vt7X16+kUlb7WhqnRfuHJrG4AACAASURBVD/cth8ATujaf11rm6tdkiRJ0iKxiCRJGpiqegjY\nl+SFrel04B5gFzA9w9pm4Ia2vAs4v83SdhrwWBv2djNwRpI17YHaZ7Q2SZIkSYvE4WySpEF7A3BN\nkqOB+4HX0fmS47okFwIPAK9pfW8CXg7sAb7T+lJVB5O8Hbi99bukqg4uXQqSJEnS8mcRSZI0UFX1\nRWB8lk2nz9K3gIvmOM4OYMfiRidJkiRpmsPZJEmSJEmS1JNFJEmSJEmSJPVkEUmSJEmSJEk9WUSS\nJEmSJElSTz5YW5KkIbd+242ztu+97BVLHIkkSZJWMu9EkiRJkiRJUk8WkSRJkiRJktSTRSRJkiRJ\nkiT1ZBFJkiRJkiRJPVlEkiRJkiRJUk8WkSRJkiRJktSTRSRJkiRJkiT1ZBFJkiRJkiRJPVlEkiRJ\nkiRJUk8WkSRJkiRJktSTRSRJkiRJkiT1ZBFJkiRJkiRJPVlEkiRJkiRJUk8WkSRJkiRJktSTRSRJ\nkiRJkiT1ZBFJkiRJ0khLsjrJ9Un+Nsm9SX4+ybFJdie5r/1e0/omyZVJ9iS5M8nJXcfZ3Prfl2Tz\n4DKSpOFkEUmSJEnSqLsC+FhV/TTwEuBeYBtwS1VtAG5p6wBnAxvazxbg/QBJjgUuBk4FTgEuni48\nSZI6LCJJkiRJGllJngv8AnAVQFV9v6oeBTYBO1u3ncA5bXkTcHV13AqsTnI8cCawu6oOVtUjwG7g\nrCVMRZKGnkUkSZIkSaPsRODrwJ8m+UKSDyR5JjBWVQ+2Pg8BY215LbCva//9rW2udklSs2rQAUiS\nJEnSAqwCTgbeUFW3JbmCx4euAVBVlaQW64RJttAZCsfY2BiTk5OLdejDdujQoYGc93AY2/z0im3r\nxqkFn2O+uY/y322Qhjk2mF98FpEkSZIkjbL9wP6quq2tX0+niPS1JMdX1YNtuNrDbfsB4ISu/de1\ntgPAxIz2ydlOWFXbge0A4+PjNTExMVu3vpqcnGQQ5z0cxjY/vWK7YNuNCz7H3vPmPv5TGeW/2yAN\nc2wwv/gcziZJkiRpZFXVQ8C+JC9sTacD9wC7gOkZ1jYDN7TlXcD5bZa204DH2rC3m4EzkqxpD9Q+\no7VJkhrvRJIkSZI06t4AXJPkaOB+4HV0vjC/LsmFwAPAa1rfm4CXA3uA77S+VNXBJG8Hbm/9Lqmq\ng0uXgiQNP4tIkiRJkkZaVX0RGJ9l0+mz9C3gojmOswPYsbjRSdLy4XA2SZIkSZIk9WQRSZIkSZIk\nST05nE2SpD5avwgzqUiSJEnDwCKSJEmSJElDwi+gNMwcziZJkiRJkqSeLCJJkiRJkiSpp74WkZIc\nleQLSf6qrZ+Y5LYke5J8OMnRrf1pbX1P276+n3FJkiRJkiTpyPT7TqQ3Afd2rb8TuLyqXgA8AlzY\n2i8EHmntl7d+kiRJkiRJGhJ9KyIlWQe8AvhAWw/wMuD61mUncE5b3tTWadtPb/0lSZIkSZI0BPo5\nO9sfAm8Bnt3WjwMeraqptr4fWNuW1wL7AKpqKsljrf83ug+YZAuwBWBsbIzJyckjDmrsGNi6cap3\nxxFhPsNvueVkPr3N57VJkiRJkoZdX4pISV4JPFxVdySZWKzjVtV2YDvA+Ph4TUwc+aH/6JobePdd\n/aydLa2tG6fMZ8gtt5zMp7e9500s6vEkSZIkaRj065PgS4FfSfJy4OnAc4ArgNVJVrW7kdYBB1r/\nA8AJwP4kq4DnAt/sU2ySJEmSJEk6Qn15JlJVva2q1lXVeuBc4BNVdR7wSeBVrdtm4Ia2vKut07Z/\noqqqH7FJkobPYszmmeRtrf3LSc4cTCaSJEnS8tXv2dlmeivw5iR76Dzz6KrWfhVwXGt/M7BtieOS\nJA3WgmbzTHISnS8tXgScBbwvyVFLFLskSZK0IvS9iFRVk1X1yrZ8f1WdUlUvqKpXV9X3Wvt32/oL\n2vb7+x2XJGk4LNJsnpuAa6vqe1X1FWAPcMrSZCBJkiStDMvn6biSpFG1GLN5rgVu7Tpm9z5PMNtM\nn4cOHVqUWfUWOtPfXDHMddwjiXn6GDNnJFyuswku1n/TUWCuy89KyVOSNHosIkmSBqZfs3k+ldlm\n+pycnGQ+M37OdMG2Gxe0/1wz+8113COZCXD6GDNnJFyuswku1n/TUWCuy89KyVOSNHosIkmSBmmx\nZvOcbp/WvY8kSZKkRbDUD9aWJOlHFnE2z13AuW32thOBDcBnlygNSZIkaUXwTiRJ0jB6K3BtkncA\nX+CJs3n+WZvN8yCdwhNVdXeS64B7gCngoqr64dKHLUmSJC1fFpEkSUOhqiaBybZ8P7PMrlZV3wVe\nPcf+lwKX9i9CSZIkaWVzOJskSZIkSZJ6sogkSZIkSZKkniwiSZIkSZIkqSeLSJIkSZIkSerJIpIk\nSZIkSZJ6sogkSZIkSZKkniwiSZIkSZIkqSeLSJIkSZIkSerJIpIkSZIkSZJ6sogkSZIkSZKkniwi\nSZIkSZIkqSeLSJIkSZJGXpKjknwhyV+19ROT3JZkT5IPJzm6tT+tre9p29d3HeNtrf3LSc4cTCaS\nNLwsIkmSJElaDt4E3Nu1/k7g8qp6AfAIcGFrvxB4pLVf3vqR5CTgXOBFwFnA+5IctUSxS9JIsIgk\nSZIkaaQlWQe8AvhAWw/wMuD61mUncE5b3tTWadtPb/03AddW1feq6ivAHuCUpclAkkbDqkEHIEmS\nJEkL9IfAW4Bnt/XjgEeraqqt7wfWtuW1wD6AqppK8ljrvxa4teuY3fs8QZItwBaAsbExJicnFy2R\nw3Xo0KGBnPdwGNv8TMe2deNU787zNN/cR+HvNoyGOTaYX3wWkSRJkiSNrCSvBB6uqjuSTCzFOatq\nO7AdYHx8vCYmluS0TzA5Ockgzns4jG1+pmO7YNuNfTvH3vMm5rXfKPzdhtEwxwbzi88ikiRJkqRR\n9lLgV5K8HHg68BzgCmB1klXtbqR1wIHW/wBwArA/ySrgucA3u9qnde8jLQvrZylQ7b3sFQOIRKPK\nZyJJkiRJGllV9baqWldV6+k8GPsTVXUe8EngVa3bZuCGtryrrdO2f6KqqrWf22ZvOxHYAHx2idKQ\npJHgnUiSJEmSlqO3AtcmeQfwBeCq1n4V8GdJ9gAH6RSeqKq7k1wH3ANMARdV1Q+XPmxJGl4WkSRJ\nkiQtC1U1CUy25fuZZXa1qvou8Oo59r8UuLR/EUrSaHM4myRJkiRJknqyiCRJkiRJkqSeLCJJkiRJ\nkiSpJ4tIkiRJkiRJ6skikiRJkiRJknqyiCRJkiRJkqSeLCJJkiRJkiSpp1WDDkCSJC2e9dtuHHQI\nkiRJWqYsIkmSJEmSNADdX/5s3TjFBX4ZpCHncDZJkiRJkiT1ZBFJkiRJkiRJPVlEkiRJkiRJUk8+\nE0mSpBVstgdx773sFQOIRJIkScPOIpIkSXqCuWZ4s7gkSZK0sllEkiRJi85ClCRJ0vLjM5EkSZIk\nSZLUk0UkSZIkSZIk9WQRSZIkSZIkST31pYiU5IQkn0xyT5K7k7yptR+bZHeS+9rvNa09Sa5MsifJ\nnUlO7kdckiRJkiRJmp9+3Yk0BWytqpOA04CLkpwEbANuqaoNwC1tHeBsYEP72QK8v09xSZIkSZIk\naR76UkSqqger6vNt+R+Be4G1wCZgZ+u2EzinLW8Crq6OW4HVSY7vR2ySJEmSJEk6cqv6fYIk64Gf\nBW4DxqrqwbbpIWCsLa8F9nXttr+1PdjVRpItdO5UYmxsjMnJySOOZ+wY2Lpx6oj3G1bmM/yWW07m\n09t8XptWqiQnAFfTuR4UsL2qrkhyLPBhYD2wF3hNVT2SJMAVwMuB7wAXTH9pkWQz8Hvt0O+oqp1I\nkiRJWjR9LSIleRbwX4Dfqqpvdd77d1RVJakjOV5VbQe2A4yPj9fExMQRx/RH19zAu+/qe+1syWzd\nOGU+Q2655WQ+ve09b2JRj7fMTQ9//nySZwN3JNkNXEBn+PNlSbbRGf78Vp44/PlUOsOfT21Fp4uB\ncTrFqDuS7KqqR5Y8I0mSJGmZ6tvsbEl+nE4B6Zqq+mhr/tr0MLX2++HWfgA4oWv3da1NkrSMLeLw\n5zOB3VV1sBWOdgNnLWEqkiRJ0rLXr9nZAlwF3FtVf9C1aRewuS1vBm7oaj+/zdJ2GvBY17A3SdIK\nsMDhz3O1S5IkSVok/RqT8lLg14C7knyxtf0OcBlwXZILgQeA17RtN9F5vsUeOs+4eF2f4pIkDaHF\nHv7c41xPer7eoUOHFuVZVgt9vtZcMcx13Nn694phIc8BO5K/0ZHE3A+L9d90FJjr8rNS8pQkjZ6+\nFJGq6tNA5th8+iz9C7ioH7FIkobbUw1/rqoHD3P48wFgYkb75Gznm+35epOTk8znOXszXbDtxgXt\nP9fztOY67mz9e8WwkOeAHcnzvo4k5n5YrP+mo8Bcl5+VkqckafT07ZlIkiT1sojDn28GzkiyJska\n4IzWJkmSJGmRLJ8pliRJo2hRhj9X1cEkbwdub/0uqaqDS5OCJEmStDJYRJIkDcxiDn+uqh3AjsWL\nTpIkSVI3h7NJkiRJkiSpJ4tIkiRJkkZWkhOSfDLJPUnuTvKm1n5skt1J7mu/17T2JLkyyZ4kdyY5\nuetYm1v/+5JsnuuckrRSWUSSJEmSNMqmgK1VdRJwGnBRkpOAbcAtVbUBuKWtA5wNbGg/W4D3Q6fo\nBFwMnAqcAlw8XXiSJHVYRJIkSZI0sqrqwar6fFv+R+BeYC2wCdjZuu0EzmnLm4Crq+NWYHWS44Ez\ngd1VdbCqHgF2A2ctYSqSNPR8sLYkSZKkZSHJeuBngduAsap6sG16CBhry2uBfV277W9tc7XPdp4t\ndO5iYmxsjMnJyUWJ/0gcOnRoIOc9HMZ2+LZunPrR8tgxT1xfKofz9xi2v1s3Y5u/+cRnEUmSpCO0\nftuNgw5BkjRDkmcB/wX4rar6VvL45J9VVUlqsc5VVduB7QDj4+M1MTGxWIc+bJOTkwzivIfD2A7f\nBV3vKbZunOLddy39R/S950307DNsf7duxjZ/84nP4WySJEmSRlqSH6dTQLqmqj7amr/WhqnRfj/c\n2g8AJ3Ttvq61zdUuSWosIkmSJEkaWenccnQVcG9V/UHXpl3A9Axrm4EbutrPb7O0nQY81oa93Qyc\nkWRNe6D2Ga1NktQ4nE2SJEnSKHsp8GvAXUm+2Np+B7gMuC7JhcADwGvatpuAlwN7gO8ArwOoqoNJ\n3g7c3vpdUlUHlyYFLXcOhddyYRFJkiRJ0siqqk8DmWPz6bP0L+CiOY61A9ixeNFJ0vLicDZJkiRJ\nkiT1ZBFJkiRJkiRJPTmcTZKkEeXzFSRJkrSUvBNJkiRJkiRJPXknkiRJQ8I7iyRJkjTMvBNJkiRJ\nkiRJPVlEkiRJkiRJUk8WkSRJkiRJktSTz0SSJEmHZa5nNu297BVLHIkkSZIGwTuRJEmSJEmS1JNF\nJEmSJEmSJPXkcDZJkiRJklYoh6vrSFhEkiRJI2/mG+CtG6e4YNuNvgGWJElaRA5nkyRJkiRJUk/e\niSRJkpbMbLfMe7eQJEnSaPBOJEmSJEmSJPXknUiSJEmSJC2CuR5SLS0X3okkSZIkSZKkniwiSZIk\nSZIkqSeLSJIkSZIkSerJZyJJkqSBmuv5EYsxa1s/jy1JkrTSeCeSJEmSJEmSerKIJEmSJEmSpJ4c\nziZJkiRJkp6ge0j41o1TXNDWHRK+snknkiRJkiRJknryTiRJkiRJko7QXJM3SMuZRSRJkrQgvomW\nJElaGRzOJkmSJEmSpJ68E0mSJK04s9095YNCJUmSnppFJEmSNJTmGiZnsUeSpMHxi5iVzeFskiRJ\nkiRJ6mlo7kRKchZwBXAU8IGqumzAIUmSRozXEi2Edz5JAq8lkvRUhqKIlOQo4L3Avwb2A7cn2VVV\n9ww2MknSqPBaon6xuCStHF5LNBtnIe3Na+XKMRRFJOAUYE9V3Q+Q5FpgE+CLtSTpcHktWSGG5c38\nkcThm2hpZHgtWcGG5fqynFhcWn6GpYi0FtjXtb4fOHVAsUiSRpPXEg2tfhWc1m+7ka0bp7hgxvF9\ncy7Nm9eSEbCQYs9sr5laeotZsDuc/6ZeFxdPqmrQMZDkVcBZVfXrbf3XgFOr6vUz+m0BtrTVFwJf\nnsfpngd8YwHhDhvzGX7LLSfz6Z+frKqfGHQQo2qB15Jh+nfQbysl15WSJ5jrcrSQPL2WLMASfy5Z\nqGH+/8HY5sfY5sfY5m+u+Oa8lgzLnUgHgBO61te1tieoqu3A9oWcKMnnqmp8IccYJuYz/JZbTuaj\nITbva8lK+newUnJdKXmCuS5HKyXPIbVkn0sWapj/nRjb/Bjb/Bjb/M0nvh/rVzBH6HZgQ5ITkxwN\nnAvsGnBMkqTR4rVEkrRQXksk6SkMxZ1IVTWV5PXAzXSm0txRVXcPOCxJ0gjxWiJJWiivJZL01Iai\niARQVTcBNy3BqQZ622kfmM/wW245mY+G1gKuJSvp38FKyXWl5AnmuhytlDyH0hJ+LlmoYf53Ymzz\nY2zzY2zzd8TxDcWDtSVJkiRJkjTchuWZSJIkSZIkSRpiK6aIlOSsJF9OsifJtkHHM1OSHUkeTvKl\nrrZjk+xOcl/7vaa1J8mVLZc7k5zctc/m1v++JJv/f/buPVqzu67z/PtjikC4mEpAz4SqtBUl4oBp\nIFaTsHBcZwjmalPMLMBoWioYp3q1aRo0s0xFXR3l0lP0UjHoGFZpAhVEQowwqSFoLEPO2K7pBAjE\nkIt0iqRCqiYXmkqCBYIWfueP53fgSdV5audcn8t5v9Z61tn7u397P9/fPk/VPud79m//+uI/luQL\nbZ/3Jcky9uXEJLckuSfJ3UneNs79ae/3rCSfTvK3rU+/2eInJbmt5fHR9gBGkjyzre9u2zf0Heuy\nFv9ikrP64iv+GU1yVJLPJ/nEuPcnyZ72mbgjyWdbbGw/c1o5w/i3NwyZ4zoziQZdgybRoGvTpDr0\nmjWp5rqeSTDnz20fTPJA+6zckeTlQ8rraf8MNiK5/UaSfX3n7dwh5bY2yfVJ/i7JvUleNSrn7Qj5\nDf3cJXlx3/vfkeRrSd4+CufuCLkN/by1/H6p/bxwV5KPtJ8jTsocv/8dUVVN/IveQ/G+BPwgcDTw\nt8BLhp3XITn+BHAqcFdf7D8DW9vyVuA9bflc4M+BAKcDt7X48cD97etxbfm4tu3TrW3avucsY19O\nAE5ty88D/hvwknHtT3u/AM9ty88Abmvvfx1wfou/H/h3bfkXgfe35fOBj7bll7TP3zOBk9rn8qhh\nfUaBXwb+BPhEWx/b/gB7gBccEhvbz5yvlXkN69/ekPp62HVmEl8MuAYNO69l6uuc16Zh57WM/X3K\nNWtSX3Ndz3z5qprz57YPAm8Ygbye9s9gI5LbbwD/+wictx3AL7Tlo4G1o3LejpDfSJy7vhyPAh4B\nfmCUzt0cuQ39vAHrgAeAY9r6dcCFDPj970iv1XIn0iuB3VV1f1X9I3AtsGnIOT1FVf01sP+Q8CZ6\n/3hpX1/fF7+mem4F1iY5ATgL2FVV+6vqcWAXcHbb9r1VdWv1Ph3X9B1rOfrycFV9ri3/PXAvvQ/t\nWPan9aOq6kBbfUZ7FfAa4PoBfZrt6/XAGe3OlU3AtVX1rap6ANhN7/O54p/RJOuB84A/ausZ5/4M\nMLafOa2YUfmsLrsB15mJc4Rr0MQ5wrVp4hx6zZJWmzH8NzDoZzABSY6l98edqwCq6h+r6glG5Lwd\nIb9Rcwbwpap6kBE5d336cxsVa4BjkqwBng08zODf/wZaLUWkdcBDfet7GY8fKKeq6uG2/Agw1ZYH\n9edI8b1zxJddesOeXkHvr6Nj3Z92C/EdwGP0igtfAp6oqoNz5PGd3Nv2J4HnM/++LqffBX4F+Oe2\n/nzGuz8F/GWS25NsabGx/sxpRYzr9UFPwyHXoIl06LWpqia1r4desybZXNczadC/gXenNzT/vUme\nOYS8YH4/g620Qf+e/n07b1cPacjYScBXgA+0IYp/lOQ5jM55G5QfDP/c9Tsf+EhbHpVzN6s/Nxjy\neauqfcBvAV+mVzx6Eridwb//DbRaikhjr939MFZ/XUzyXODPgLdX1df6t41jf6rq21X1cmA9vbsX\nfmTIKS1Ykp8CHquq24edyxL68ao6FTgHuDjJT/RvHMfPnKSFO9I1aJIcem1K8qPDzmmpTeg160iO\neD3T6nOEfwOX0ft59F/RG4p/6Urn1ozyz2Bz5XYl8EPAy+n9Mv3bQ8hrDb0h5ldW1SuAr9MbgvUd\nQz5vg/IbhXMHQHt2z+uAPz1027B/7p8jt6Gft1a42kSvQPhC4DnA2Qs51mopIu0DTuxbX99io+7R\nNoyG9vWxFh/UnyPF188RXzZJnkHvh/cPV9XHWnhs+9Ov3cp5C/AqesOg1syRx3dyb9uPBb7K/Pu6\nXF4NvC7JHnrDd14DXMH49me2uk5VPQZ8nF6hbyI+c1pW43p90BEMuAZNtL5r04J+IBxxh12zkvzx\ncFNaPgOuZ1rd5vw30IbvVlV9C/gAQ/qszPNnsKHnVlWPtgL8PwN/yHDO215gb9/do9fTK9qMxHkb\nlN+InLtZ5wCfq6pH2/qonDs4JLcROW+vBR6oqq9U1T8BH6P3f8ug3/8GWi1FpM8AJ7cnjx9N79ay\nnUPO6enYCczODrUZuKEv/ub0nA482W7duwk4M8lxrdJ4JnBT2/a1JKe359i8ue9YS669x1XAvVX1\nO+Pen9an70uyti0fA/wkveds3AK8YUCfZvv6BuBTrSK+Ezg/vdnOTgJOpvfA5hX9jFbVZVW1vqo2\ntPf6VFVdMK79SfKcJM+bXab3WbmLMf7MacWM6/VBAxzhGjRxBlyb/m64WS29AdesfzPktJbFEa5n\nWsUG/Rvo+4U59J5jsuKflQX8DDb03GbPW/O/MITzVlWPAA8leXELnQHcwwicNxic3yicuz4/w1OH\ni43EuWuektuInLcvA6cneXb7P2P2Mzfo97/BagSeqr4SL3qzMf03es+x+bVh5zNHfh+hd2vbP9Gr\n/F5E75kzNwP3AX8FHN/aBvg/W1++AGzsO87P03u48W7gLX3xjfQ+rF8Cfh/IMvblx+ndPngncEd7\nnTuu/Wnv9y+Bz7c+3QX8xxb/QXpFk930bld8Zos/q63vbtt/sO9Yv9by/iJ9M3wN6zMKTPPdWT7G\nsj8t779tr7tn32+cP3O+Vu41rH97Q+jnYdeZYee0TP2c8xo07LyWqa9zXpsm+dV/zZrE16DrmS9f\ns69Dfm77VPs55i7gj2mzNa5wPvP6GWxEcvtQO2930is8nDCk7+XLgc+2PP4vejMDD/28deQ3Kufu\nOfRGRRzbFxuJczcgt1E5b79J749Nd7WcnsmA3/+O9Eo7mCRJkiRJkjTQahnOJkmSJEmSpEWwiCRJ\nkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmSJEmSJEmdLCJJ\nkiRJkiSpk0UkSZIkSZIkdbKIJEmSJEmSpE4WkSRJkiRJktTJIpIkSZIkSZI6WUSSJEmSJElSJ4tI\nkiRJkiRJ6mQRSZIkSZIkSZ0sIkmSJEmSJKmTRSRJkiRJkiR1sogkSZIkSZKkThaRJEmSJEmS1Mki\nkiRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJkiRJkiRJnSwiSZIkSZIkqZNFJEmSJEmSJHWy\niCRJkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmSJEmSJEmd\nLCJJkiRJkiSpk0UkSZIkSZIkdbKIJEmSJEmSpE4WkSRJkiRJktTJIpIkSZIkSZI6WUSSJEmSJElS\nJ4tIkiRJkiRJ6mQRSZIkSZIkSZ0sIkmSJEmSJKmTRSRJkiRJkiR1sogkSZIkSZKkThaRJEmSJEmS\n1MkikiRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJkiRJkiRJnSwiSZIkSZIkqZNFJEmSJEmS\nJHWyiCRJkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmSJEmS\nJEmdLCJJkiRJkiSpk0UkSZIkSZIkdbKIJEmSJEmSpE4WkSRJkiRJktTJIpI0hyT/U5IvDjsPSdL4\nSvLBJO86wvZK8qKVzEmSJGkxLCJJc6iq/1JVLx52HpKk0ZJkT5LXDjsPSZKkYbCIJB0iyZph5yBJ\nkiRJ0qixiKRVo/31+LIk9yR5PMkHkjwryXSSvUkuTfII8IHZWN++Jyb5WJKvJPlqkt/v2/bzSe5t\nx7wpyQ8MpYOSpGWV5EPAvwD+7yQHkvxKkj9N8kiSJ5P8dZKXHrLbC5LsSvL3Sf6fQdeIJM9M8ltJ\nvpzk0STvT3LMsndKkjTSkvxQkv1JTm3rL2y/k0wPOTWtUhaRtNpcAJwF/BDww8Cvt/j/ABwP/ACw\npX+HJEcBnwAeBDYA64Br27ZNwK8C/yvwfcB/AT6yzH2QJA1BVf0c8GXgX1fVc6vqPwN/DpwMfD/w\nOeDDh+x2AfBO4AXAHXNsn7WN3nXp5cCL6F1r/uNS90GSNF6q6kvApcAfJ3k28AFgR1XNDDUxrVqp\nqmHnIK2IJHuAbVX1/rZ+LvB7wEXAXwLfW1XfbNumgT+uqvVJXgXsBE6oqoOHHPPPgeur6qq2/j3A\nAeB/rKoHV6RjkqQV064lv1BVfzXHtrXA48DaqnoyyQeBZ1XV+W37c4EngQ1V9VCSoleA+hK9a8e/\nbL8s0K49f1JVJ61AtyRJIy7JTuAkoIB/VVXfGnJKWqW8E0mrzUN9yw8CL2zLX5ktIM3hRODBQwtI\nzQ8AVyR5IskTwH4g9P6CLEmaYEmOSrItyZeSfA3Y0za9oK/Zd647VXWA3nXihTzV9wHPBm7vu578\nRYtLkgTwh8CPAr9n9kTYogAAIABJREFUAUnDZBFJq82Jfcv/Avj/2vKRbsl7CPgXAx64/RDwb6tq\nbd/rmKr6f5coX0nSaOm/XvwssAl4LXAsvSHP0PtjwqzvXHfanUjH891rz6z/DvwD8NK+a8mxVfXc\nJc5dkjSG2vXjd4GrgN9IcvyQU9IqZhFJq83FSda3/3h/Dfjo09jn08DDwLYkz2kP43512/Z+4LLZ\nB6kmOTbJG5clc0nSKHgU+MG2/DzgW8BX6d1J9J/maH9ukh9PcjS9ZyPdWlX9d8VSVf9M7y/M703y\n/QBJ1iU5a5n6IEkaL1cAn62qXwBupPc7iDQUFpG02vwJvecf3U/vGRTv6tqhqr4N/Gt6Dzr9MrAX\n+Om27ePAe4Br21CGu4BzliVzSdIo+D+AX29Dzo6nNzR6H3APcOsc7f8EuJzeMLYfA/7NgONeCuwG\nbm3Xk78CXry0qUuSxk2byOds4N+10C8Dpya5YHhZaTXzwdpaNY70MFRJkiRJknRk3okkSZIkSZKk\nThaRJEmSJEmS1MnhbJIkSZIkSerknUiSJEmSJEnqtGbYCSzUC17wgtqwYcMR23z961/nOc95zsok\nNA/mNT/mNT/mNX+jktvtt9/+36vq+4adx2rydK4l42RUPstLzX6Nl0ntF4xH37yWrLyFXkvG4fM0\nH5PWH5i8Pk1af2Dy+jQq/TnStWRsi0gbNmzgs5/97BHbzMzMMD09vTIJzYN5zY95zY95zd+o5Jbk\nwWHnsNo8nWvJOBmVz/JSs1/jZVL7BePRN68lK2+h15Jx+DzNx6T1ByavT5PWH5i8Po1Kf450LXE4\nmyRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJkiRJkiRJnSwiSZIkSZIkqZNFJEmSJEmSJHWy\niCRJkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmStCKSXJ3k\nsSR39cWOT7IryX3t63EtniTvS7I7yZ1JTu3bZ3Nrf1+SzX3xH0vyhbbP+5JkZXsoSZIkTTaLSJKk\nlfJB4OxDYluBm6vqZODmtg5wDnBye20BroRe0Qm4HDgNeCVw+WzhqbX53/r2O/S9JEmSJC3CmmEn\nMCo2bL3xsNiebecNIRNJmkxV9ddJNhwS3gRMt+UdwAxwaYtfU1UF3JpkbZITWttdVbUfIMku4Owk\nM8D3VtWtLX4N8Hrgz5evR5rlNVSStBp5/dNqZBFJkjRMU1X1cFt+BJhqy+uAh/ra7W2xI8X3zhE/\nTJIt9O5uYmpqipmZmcX1YIQcOHBgKP255JSDh8WWMo9h9Wu52a/xM8l9kyTp6bCIJEkaCVVVSWoF\n3mc7sB1g48aNNT09vdxvuWJmZmYYRn8unOsvsRcsXR7D6tdys1/jZ5L7JknS0+EzkSRJw/RoG6ZG\n+/pYi+8DTuxrt77FjhRfP0dckiRJ0hKxiCRJGqadwOwMa5uBG/rib26ztJ0OPNmGvd0EnJnkuPZA\n7TOBm9q2ryU5vc3K9ua+Y0mSJElaAg5nkyStiCQfofdg7Bck2UtvlrVtwHVJLgIeBN7Umn8SOBfY\nDXwDeAtAVe1P8k7gM63dO2Yfsg38Ir0Z4I6h90BtH6otSZIkLSGLSJKkFVFVPzNg0xlztC3g4gHH\nuRq4eo74Z4EfXUyOWjpzzVgDzlojSZI0zhzOJkmSJEmSpE4WkSRJkiRJktTJIpIkSZIkSZI6WUSS\nJEmSNNaSvDjJHX2vryV5e5Ljk+xKcl/7elxrnyTvS7I7yZ1JTu071ubW/r4kmwe/qyStPhaRJEmS\nJI21qvpiVb28ql4O/Bi9mT0/DmwFbq6qk4Gb2zrAOcDJ7bUFuBIgyfH0Zg89DXglcPls4UmSZBFJ\nkiRJ0mQ5A/hSVT0IbAJ2tPgO4PVteRNwTfXcCqxNcgJwFrCrqvZX1ePALuDslU1fkkbXmmEnIEmS\nJElL6HzgI215qqoebsuPAFNteR3wUN8+e1tsUPwpkmyhdwcTU1NTzMzMzDvJAwcOLGi/UTVp/YHu\nPl1yysHDYqN8Dlbj92jcjEN/LCJJkiRJmghJjgZeB1x26LaqqiS1FO9TVduB7QAbN26s6enpeR9j\nZmaGhew3qiatP9Ddpwu33nhYbM8Fg9sP22r8Ho2bceiPw9kkSZIkTYpzgM9V1aNt/dE2TI329bEW\n3wec2Lff+hYbFJckYRFJkiRJ0uT4Gb47lA1gJzA7w9pm4Ia++JvbLG2nA0+2YW83AWcmOa49UPvM\nFpMk4XA2SZIkSRMgyXOAnwT+bV94G3BdkouAB4E3tfgngXOB3fRmcnsLQFXtT/JO4DOt3Tuqav8K\npC9JY8EikiRJkqSxV1VfB55/SOyr9GZrO7RtARcPOM7VwNXLkaMkjTuHs0mSJEmSJKmTRSRJkiRJ\nkiR1sogkSZIkSZKkThaRJEmSJEmS1MkikiRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJkiRJ\nkiRJnSwiSZIkSZIkqdOiikhJfinJ3UnuSvKRJM9KclKS25LsTvLRJEe3ts9s67vb9g19x7msxb+Y\n5KzFdUmSJEmSJElLbcFFpCTrgP8AbKyqHwWOAs4H3gO8t6peBDwOXNR2uQh4vMXf29qR5CVtv5cC\nZwN/kOSoheYlSZIkSZKkpbfY4WxrgGOSrAGeDTwMvAa4vm3fAby+LW9q67TtZyRJi19bVd+qqgeA\n3cArF5mXJEmSJEmSltCahe5YVfuS/BbwZeAfgL8EbgeeqKqDrdleYF1bXgc81PY9mORJ4Pktfmvf\nofv3eYokW4AtAFNTU8zMzBwxxwMHDnS2mXXJKQcPiz3dfedrPnmtJPOaH/Oan1HNC0Y7N0mSJEka\nFQsuIiU5jt5dRCcBTwB/Sm842rKpqu3AdoCNGzfW9PT0EdvPzMzQ1WbWhVtvPCy254Knt+98zSev\nlWRe82Ne8zOqecFo5yZJkiRJo2Ixw9leCzxQVV+pqn8CPga8GljbhrcBrAf2teV9wIkAbfuxwFf7\n43PsI0mSJEmSpBGwmCLSl4HTkzy7PdvoDOAe4BbgDa3NZuCGtryzrdO2f6qqqsXPb7O3nQScDHx6\nEXlJkiRJkiRpiS3mmUi3Jbke+BxwEPg8vaFmNwLXJnlXi13VdrkK+FCS3cB+ejOyUVV3J7mOXgHq\nIHBxVX17oXlJkiRJkiRp6S24iARQVZcDlx8Svp85Zlerqm8CbxxwnHcD715MLpIkSZIkSVo+ixnO\nJkmSJEmSpFXCIpIkSZIkSZI6WUSSJEmSJElSJ4tIkiRJkiRJ6mQRSZIkSZIkSZ0sIkmSJEmSJKmT\nRSRJkiRJkiR1sogkSZIkSZKkThaRJEmSJEmS1GnNsBOQJEmrx4atNx4W27PtvCFkIkmSpPnyTiRJ\nkiRJkiR1sogkSZIkSZKkThaRJEmSJI21JGuTXJ/k75Lcm+RVSY5PsivJfe3rca1tkrwvye4kdyY5\nte84m1v7+5JsHl6PJGk0WUSSJEmSNO6uAP6iqn4EeBlwL7AVuLmqTgZubusA5wAnt9cW4EqAJMcD\nlwOnAa8ELp8tPEmSeiwiSZIkSRpbSY4FfgK4CqCq/rGqngA2ATtasx3A69vyJuCa6rkVWJvkBOAs\nYFdV7a+qx4FdwNkr2BVJGnnOziZJkiRpnJ0EfAX4QJKXAbcDbwOmqurh1uYRYKotrwMe6tt/b4sN\nih8myRZ6dzExNTXFzMzMvJM+cODAgvYbVZPWH+ju0yWnHDwsNsrnYDV+j8bNOPTHIpIkSZKkcbYG\nOBV4a1XdluQKvjt0DYCqqiS1VG9YVduB7QAbN26s6enpeR9jZmaGhew3qiatP9Ddpwu33nhYbM8F\ng9sP22r8Ho2bceiPw9kkSZIkjbO9wN6quq2tX0+vqPRoG6ZG+/pY274POLFv//UtNiguSWosIkmS\nhirJLyW5O8ldST6S5FlJTkpyW5s556NJjm5tn9nWd7ftG/qOc1mLfzHJWcPqjyRpZVXVI8BDSV7c\nQmcA9wA7gdkZ1jYDN7TlncCb2yxtpwNPtmFvNwFnJjmuPVD7zBaTJDUOZ5MkDU2SdcB/AF5SVf+Q\n5DrgfOBc4L1VdW2S9wMX0Zs95yLg8ap6UZLzgfcAP53kJW2/lwIvBP4qyQ9X1beH0C1J0sp7K/Dh\n9keH+4G30PuD+XVJLgIeBN7U2n6S3nVmN/CN1paq2p/kncBnWrt3VNX+leuCJI0+i0iSpGFbAxyT\n5J+AZwMPA68BfrZt3wH8Br0i0qa2DL3hCr+fJC1+bVV9C3ggyW560zP/1xXqgyRpiKrqDmDjHJvO\nmKNtARcPOM7VwNVLm50kTQ6LSJKkoamqfUl+C/gy8A/AX9KbVeeJqpqd8qR/dpzvzJxTVQeTPAk8\nv8Vv7Tv0ss6oM6qGNaPHXLPTzEdXzuMwU8lC2K/xM8l9kyTp6bCIJEkamvbMiU30pmd+AvhT4Ozl\nfM+lmFFnVA1rRo+5ZqeZj66ZbMZhppKFsF/jZ5L7JknS0+GDtSVJw/Ra4IGq+kpV/RPwMeDVwNok\ns3/o6J8d5zsz57TtxwJfxRl1JEmSpGVnEUmSNExfBk5P8uz2bKPZGXVuAd7Q2hw6o87sTDtvAD7V\nnm2xEzi/zd52EnAy8OkV6oMkSZK0KjicTZI0NFV1W5Lrgc8BB4HP0xtqdiNwbZJ3tdhVbZergA+1\nB2fvpzcjG1V1d5vZ7Z52nIudmU2SJElaWhaRJElDVVWXA5cfEr6f3uxqh7b9JvDGAcd5N/DuJU9Q\nkiRJEuBwNkmSJEmSJD0NFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmS\nJEmSJEmd1gw7gZW2YeuNw05BkiRJkiRp7HgnkiRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJ\nkiRJkiRJnSwiSZIkSZIkqZNFJEmSJEmSJHWyiCRJkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllE\nkiRJkiRJUieLSJIkSZIkSepkEUmSJEmSJEmdLCJJkiRJkiSpk0UkSZIkSZIkdbKIJEmSJEmSpE4W\nkSRJkiRJktTJIpIkSZIkSZI6WUSSJEmSNPaS7EnyhSR3JPlsix2fZFeS+9rX41o8Sd6XZHeSO5Oc\n2necza39fUk2D6s/kjSKLCJJkiRJmhT/c1W9vKo2tvWtwM1VdTJwc1sHOAc4ub22AFdCr+gEXA6c\nBrwSuHy28CRJsogkSZIkaXJtAna05R3A6/vi11TPrcDaJCcAZwG7qmp/VT0O7ALOXumkJWlUWUSS\nJEmSNAkK+MsktyfZ0mJTVfVwW34EmGrL64CH+vbd22KD4pIkYM1idk6yFvgj4Efp/af988AXgY8C\nG4A9wJuq6vEkAa4AzgW+AVxYVZ9rx9kM/Ho77LuqageSJEmS9PT9eFXtS/L9wK4kf9e/saoqSS3F\nG7Ui1RaAqakpZmZm5n2MAwcOLGi/UTVp/YHuPl1yysHDYqN8Dlbj92jcjEN/FlVEolcU+ouqekOS\no4FnA79Kb9zxtiRb6Y07vpSnjjs+jd6449P6xh1vpFeIuj3Jznb7qCRJkiR1qqp97etjST5O75lG\njyY5oaoebsPVHmvN9wEn9u2+vsX2AdOHxGfmeK/twHaAjRs31vT09KFNOs3MzLCQ/UbVpPUHuvt0\n4dYbD4vtuWBw+2Fbjd+jcTMO/VnwcLYkxwI/AVwFUFX/WFVP4LhjSZIkSSsoyXOSPG92GTgTuAvY\nCczOsLYZuKEt7wTe3GZpOx14sg17uwk4M8lx7YHaZ7aYJInF3Yl0EvAV4ANJXgbcDryNZRx3PN/b\nRue6FWyuWw4HWa7byEb1FjXzmh/zmp9RzQtGOzdJkvS0TAEf7z1BgzXAn1TVXyT5DHBdkouAB4E3\ntfafpPeYjd30HrXxFoCq2p/kncBnWrt3VNX+leuGJI22xRSR1gCnAm+tqtuSXMF3p8wElnbccTve\nvG4bnetWsLluORxkuW5FHNVb1MxrfsxrfkY1Lxjt3CRJUrequh942RzxrwJnzBEv4OIBx7oauHqp\nc5SkSbCY2dn2Anur6ra2fj29otKjbZga8xh3PFdckiRJkiRJI2LBdyJV1SNJHkry4qr6Ir0K/z3t\ntRnYxuHjjv99kmvpPVj7yfaAu5uA/9TGHENv3PFlC81LkiSNlw0D7hLes+28Fc5EkiRJR7LY2dne\nCny4zcx2P72xxN+D444lSZIkSZImyqKKSFV1B7Bxjk2OO5YkSZIkSZogi3kmkiRJkiRJklYJi0iS\nJEmSJEnqtNhnIkmSpFVi0AOwJUmStDp4J5IkSZIkSZI6WUSSJEmSJElSJ4tIkiRJkiRJ6mQRSZIk\nSZIkSZ0sIkmSJEmSJKmTRSRJkiRJkiR1sogkSZIkSZKkThaRJEmSJEmS1MkikiRpqJKsTXJ9kr9L\ncm+SVyU5PsmuJPe1r8e1tknyviS7k9yZ5NS+42xu7e9Lsnl4PZIkSZImk0UkSdKwXQH8RVX9CPAy\n4F5gK3BzVZ0M3NzWAc4BTm6vLcCVAEmOBy4HTgNeCVw+W3iSJEmStDQsIkmShibJscBPAFcBVNU/\nVtUTwCZgR2u2A3h9W94EXFM9twJrk5wAnAXsqqr9VfU4sAs4ewW7IkmSJE28NcNOQJK0qp0EfAX4\nQJKXAbcDbwOmqurh1uYRYKotrwMe6tt/b4sNih8myRZ6dzExNTXFzMzMknRkFBw4cGBZ+3PJKQeX\n7dhzme3LcvdrWOzX+JnkvkmS9HRYRJIkDdMa4FTgrVV1W5Ir+O7QNQCqqpLUUr1hVW0HtgNs3Lix\npqenl+rQQzczM8Ny9ufCrTcu27HnsueCaWD5+zUs9mv8THLfJEl6OhzOJkkapr3A3qq6ra1fT6+o\n9Ggbpkb7+ljbvg84sW//9S02KC5JkiRpiVhEkiQNTVU9AjyU5MUtdAZwD7ATmJ1hbTNwQ1veCby5\nzdJ2OvBkG/Z2E3BmkuPaA7XPbDFJkiRJS8ThbJKkYXsr8OEkRwP3A2+h90eO65JcBDwIvKm1/SRw\nLrAb+EZrS1XtT/JO4DOt3Tuqav/KdUGSJEmafBaRJElDVVV3ABvn2HTGHG0LuHjAca4Grl7a7CRJ\nkiTNcjibJEmSJEmSOllEkiRJkiRJUieHs0mSJEmSpKfYsPXGOeN7tp23wplolHgnkiRJkiRJkjp5\nJ5IkSZIkSWPIu4W00iwiSZIkSZK0Sg0qRElzcTibJEmSpLGX5Kgkn0/yibZ+UpLbkuxO8tEkR7f4\nM9v67rZ9Q98xLmvxLyY5azg9kaTRZRFJkiRJ0iR4G3Bv3/p7gPdW1YuAx4GLWvwi4PEWf29rR5KX\nAOcDLwXOBv4gyVErlLskjQWLSJIkSZLGWpL1wHnAH7X1AK8Brm9NdgCvb8ub2jpt+xmt/Sbg2qr6\nVlU9AOwGXrkyPZCk8WARSZIkSdK4+13gV4B/buvPB56oqoNtfS+wri2vAx4CaNufbO2/E59jH0kS\nPlhbkiRJ0hhL8lPAY1V1e5LpFXrPLcAWgKmpKWZmZuZ9jAMHDixov1E1af2B7j5dcsrBw2IrfQ7m\nymFQHoP6M+gYg4zS93nSPnfj0B+LSJIkSZLG2auB1yU5F3gW8L3AFcDaJGva3UbrgX2t/T7gRGBv\nkjXAscBX++Kz+vd5iqraDmwH2LhxY01PT8876ZmZGRay36iatP5Ad58unGNWsz0XDG6/HObKYVAe\ng/oz6BiDrHQfj2TSPnfj0B+Hs0mSJEkaW1V1WVWtr6oN9B6M/amqugC4BXhDa7YZuKEt72zrtO2f\nqqpq8fPb7G0nAScDn16hbkjSWPBOJEmSJEmT6FLg2iTvAj4PXNXiVwEfSrIb2E+v8ERV3Z3kOuAe\n4CBwcVV9e+XTlqTRZRFJkiRJ0kSoqhlgpi3fzxyzq1XVN4E3Dtj/3cC7ly9DSRpvDmeTJEmSJElS\nJ4tIkiRJkiRJ6mQRSZIkSZIkSZ0sIkmSJEmSJKmTD9aWJEmSJGlEbNh645zxPdvOW+FMpMN5J5Ik\nSZIkSZI6WUSSJEmSJElSJ4tIkiRJkiRJ6mQRSZIkSZIkSZ0sIkmSJEmSJKmTRSRJkiRJkiR1WjPs\nBCRJkiRJmmQbtt44Z3zPtvNWOBNpcbwTSZIkSZIkSZ0sIkmSJEmSJKmTRSRJkiRJkiR1sogkSZIk\nSZKkTj5YW5IkSZKkJTDoAdrSpPBOJEmSJEmSJHWyiCRJkiRJkqROFpEkSZIkSZLUadFFpCRHJfl8\nkk+09ZOS3JZkd5KPJjm6xZ/Z1ne37Rv6jnFZi38xyVmLzUmSJEmSJElLaynuRHobcG/f+nuA91bV\ni4DHgYta/CLg8RZ/b2tHkpcA5wMvBc4G/iDJUUuQlyRJkiRJkpbIoopISdYD5wF/1NYDvAa4vjXZ\nAby+LW9q67TtZ7T2m4Brq+pbVfUAsBt45WLykiRJkiRJ0tJas8j9fxf4FeB5bf35wBNVdbCt7wXW\nteV1wEMAVXUwyZOt/Trg1r5j9u/zFEm2AFsApqammJmZOWJyBw4cOKzNJaccnLvxHH7vwzfMGT9l\n3bFP+xhzmSuvUWBe82Ne8zOqecFo5yZJkiRJo2LBRaQkPwU8VlW3J5leupQGq6rtwHaAjRs31vT0\nkd92ZmaGQ9tcuPXGReex54Ijv2+XufIaBeY1P+Y1P6OaF4x2bpIkSZI0KhZzJ9KrgdclORd4FvC9\nwBXA2iRr2t1I64F9rf0+4ERgb5I1wLHAV/vis/r3kSRJkiRJ0ghY8DORquqyqlpfVRvoPRj7U1V1\nAXAL8IbWbDMwOyZsZ1unbf9UVVWLn99mbzsJOBn49ELzkiRJkiRJ0tJb7DOR5nIpcG2SdwGfB65q\n8auADyXZDeynV3iiqu5Och1wD3AQuLiqvr0MeUmSJEmSJGmBlqSIVFUzwExbvp85Zlerqm8Cbxyw\n/7uBdy9FLpIkaTJsaM8xvOSUg095puGebecNKyVJkqRVbcHD2SRJkiRJkrR6WESSJEmSNNaSPCvJ\np5P8bZK7k/xmi5+U5LYku5N8NMnRLf7Mtr67bd/Qd6zLWvyLSc4aTo8kaTRZRJIkSZI07r4FvKaq\nXga8HDg7yenAe4D3VtWLgMeBi1r7i4DHW/y9rR1JXkLv2a0vBc4G/iDJUSvaE0kaYRaRJEmSJI21\n6jnQVp/RXgW8Bri+xXcAr2/Lm9o6bfsZSdLi11bVt6rqAWA3czzvVZJWK4tIkqShS3JUks8n+URb\nd/iBJGle2rXkDuAxYBfwJeCJqjrYmuwF1rXldcBDAG37k8Dz++Nz7CNJq96SzM4mSdIivQ24F/je\ntj47/ODaJO+nN+zgSvqGHyQ5v7X76UOGH7wQ+KskP1xV317pjkiShqP9n//yJGuBjwM/slzvlWQL\nsAVgamqKmZmZeR/jwIEDC9pvVE1af6C7T5eccnDgtqdrruMPOu5i2w7qz3z7MUrf50n73I1Dfywi\nSZKGKsl64Dzg3cAvt+EErwF+tjXZAfwGvSLSprYMveEHv3/o8APggSSzww/+6wp1Q5I0IqrqiSS3\nAK8C1iZZ0+42Wg/sa832AScCe5OsAY4FvtoXn9W/T/97bAe2A2zcuLGmp6fnnefMzAwL2W9UTVp/\noLtPF269cdHvseeCw48/6LiLbTuoP/Puxxe+fvj7bTtvfsdYIpP2uRuH/jicTZI0bL8L/Arwz239\n+Tj8QJI0D0m+r92BRJJjgJ+kd4frLcAbWrPNwA1teWdbp23/VFVVi5/fhk+fBJwMfHpleiFJo887\nkSRJQ5Pkp4DHqur2JNMr9J6LHoIwqpb7FuiluG1/IaaOeep7T8r3bBxuWV+ISe0XTHbfJsAJwI42\nk9r3ANdV1SeS3ANcm+RdwOeBq1r7q4APtTtX99MbEk1V3Z3kOuAe4CBwsUOjJem7LCJJkobp1cDr\nkpwLPIveM5GuYJmGH8DSDEEYVct9C/RS3La/EJeccpDf/sJ3f2SZ6xb9cTQOt6wvxKT2Cya7b+Ou\nqu4EXjFH/H7mmF2tqr4JvHHAsd5Nb4i1JOkQDmeTJA1NVV1WVeuragO9vwJ/qqouwOEHkiRJ0sjx\nTiRJ0ii6FIcfSJIkSSPFIpIkaSRU1Qww05YdfiBJkiSNGIezSZIkSZIkqZNFJEmSJEmSJHWyiCRJ\nkiRJkqROFpEkSZIkSZLUySKSJEmSJEmSOllEkiRJkiRJUqc1w05AkiRJkqTVaMPWG4edgjQv3okk\nSZIkSZKkThaRJEmSJEmS1MkikiRJkiRJkjpZRJIkSZIkSVIni0iSJEmSJEnqZBFJkiRJkiRJnSwi\nSZIkSZIkqdOaYScgSZIkSZKWzoatNx4Wu+SUg0yvfCqaMBaRJEmSJElaBeYqLknz4XA2SZIkSZIk\ndbKIJEmSJEmSpE4WkSRJkiRJktTJIpIkSZIkSZI6+WDtJTLoAWV7tp23wplIkiRJkiQtPYtIC+AT\n7SVJkiRJ0mrjcDZJkiRJkiR1sogkSZIkSZKkThaRJEmSJEmS1MkikiRJkiRJkjpZRJIkSZIkSVIn\nZ2eTJEmSJGkAZ+eWvss7kSRJkiSNrSQnJrklyT1J7k7ythY/PsmuJPe1r8e1eJK8L8nuJHcmObXv\nWJtb+/uSbB5WnyRpVHknkiRJegr/4ippzBwELqmqzyV5HnB7kl3AhcDNVbUtyVZgK3ApcA5wcnud\nBlwJnJbkeOByYCNQ7Tg7q+rxFe+RJI0oi0jLbK4fxC855SDTK5+KJEmSNHGq6mHg4bb890nuBdYB\nm+A7P3bvAGboFZE2AddUVQG3Jlmb5ITWdldV7QdohaizgY+sWGckacRZRJIkSZI0EZJsAF4B3AZM\ntQITwCPAVFteBzzUt9veFhsUn+t9tgBbAKamppiZmZl3rgcOHFjQfqNq0voD3+3TJaccHHYqAHOe\n3/nkNnXM/NqHKsT5AAAgAElEQVTPx7C+95P2uRuH/lhEkiRJkjT2kjwX+DPg7VX1tSTf2VZVlaSW\n6r2qajuwHWDjxo01PT0972PMzMywkP1G1aT1B77bpwtHZJj3ngumD4vNJ7dLTjnIb39heUoAc+W2\nEibtczcO/bGIJEmSJGmsJXkGvQLSh6vqYy38aJITqurhNlztsRbfB5zYt/v6FtsHT3nqxHp6Q+Ak\nLbG5HvuyZ9t5Q8hE8+XsbJIkSZLGVnq3HF0F3FtVv9O3aScwO8PaZuCGvvib2yxtpwNPtmFvNwFn\nJjmuzeR2ZotJkhrvRJIkSZI0zl4N/BzwhSR3tNivAtuA65JcBDwIvKlt+yRwLrAb+AbwFoCq2p/k\nncBnWrt3zD5kW5LUYxFJkiRJ0tiqqr8BMmDzGXO0L+DiAce6Grh66bKTpMnicDZJkiRJkiR1sogk\nSZIkSZKkThaRJEmSJEmS1MlnIkmSJEmSpAXbsPXGOeN7tp23wplouVlEGpK5/pH5D0ySJEmSJI2q\nBQ9nS3JikluS3JPk7iRva/Hjk+xKcl/7elyLJ8n7kuxOcmeSU/uOtbm1vy/J5sV3S5IkSZIkSUtp\nMXciHQQuqarPJXkecHuSXcCFwM1VtS3JVmArcClwDnBye50GXAmcluR44HJgI1DtODur6vFF5CZJ\nkiaUd/NKkiQNx4LvRKqqh6vqc23574F7gXXAJmBHa7YDeH1b3gRcUz23AmuTnACcBeyqqv2tcLQL\nOHuheUmSJEmSJGnpLckzkZJsAF4B3AZMVdXDbdMjwFRbXgc81Lfb3hYbFJ/rfbYAWwCmpqaYmZk5\nYl4HDhw4rM0lpxw8cmdWwNQxc+fR1Z/lNtf5GgXmNT/mNX+jnJskSZIkjYpFF5GSPBf4M+DtVfW1\nJN/ZVlWVpBb7Hn3H2w5sB9i4cWNNT08fsf3MzAyHtrlwwFPjV9Ilpxzkt79w+Knfc8H0yifTZ67z\nNQrMa37Ma/5GOTdJkiRJGhULHs4GkOQZ9ApIH66qj7Xwo22YGu3rYy2+Dzixb/f1LTYoLkmSJEmS\npBGxmNnZAlwF3FtVv9O3aScwO8PaZuCGvvib2yxtpwNPtmFvNwFnJjmuzeR2ZotJkiRJkiRpRCzm\nTqRXAz8HvCbJHe11LrAN+Mkk9wGvbesAnwTuB3YDfwj8IkBV7QfeCXymvd7RYpKkCZfkxCS3JLkn\nyd1J3tbixyfZleS+9vW4Fk+S9yXZneTOJKf2HWtza39fks2D3lOSJEnSwiz4mUhV9TdABmw+Y472\nBVw84FhXA1cvNBdJ0tg6CFxSVZ9L8jzg9iS7gAuBm6tqW5KtwFbgUuAc4OT2Og24EjgtyfHA5cBG\noNpxdrZZPyVJkiQtgSWZnU2jY8OAB4fv2XbeCmciSd3asOaH2/LfJ7mX3gydm4Dp1mwHMEOviLQJ\nuKb9YeLWJGvb8/emgV2zd7K2QtTZwEdWrDOSJEnShLOItEpYXJI06pJsAF4B3AZMtQITwCPAVFte\nBzzUt9veFhsUn+t9tgBbAKamppiZmVmS/EfBgQMHlqQ/l5xycPHJLKGpY7pzGsfv41J9v0bNpPYL\nJrtvkkbfoN/ppJVkEUmSNHRJnktvts+3V9XXenM39FRVJamleq+q2g5sB9i4cWNNT08v1aGHbmZm\nhqXoz4Uj9kPqJacc5Le/cOQfWfZcML0yySyhpfp+jZpJ7RdMdt8kSXo6FvNgbUmSFi3JM+gVkD5c\nVR9r4UfbMDXa18dafB9wYt/u61tsUFySJEnSErGIJEkamvRuOboKuLeqfqdv005gdoa1zcANffE3\nt1naTgeebMPebgLOTHJcm8ntzBaTJEmStEQczjZCfG6RpFXo1cDPAV9IckeL/SqwDbguyUXAg8Cb\n2rZPAucCu4FvAG8BqKr9Sd4JfKa1e8fsQ7YlSZIkLQ2LSJKkoamqvwEyYPMZc7Qv4OIBx7oauHrp\nspMkSdJi+DDwyeNwNkmSJEmSJHXyTqQxZlVXkiRJkiStFO9EkiRJkiRJUifvRBoD3nEkSZIkSZKG\nzSLSKtdfoLrklINcuPVGZ4OTJEmSJEmHcTibJEmSJEmSOllEkiRJkiRJUieLSJIkSZIkSepkEUmS\nJEmSJEmdLCJJkiRJGmtJrk7yWJK7+mLHJ9mV5L729bgWT5L3Jdmd5M4kp/bts7m1vy/J5mH0RZJG\nmUUkSZIkSePug8DZh8S2AjdX1cnAzW0d4Bzg5PbaAlwJvaITcDlwGvBK4PLZwpMkqWfNsBPQ6Nmw\n9cY543u2nbfCmUiSJEndquqvk2w4JLwJmG7LO4AZ4NIWv6aqCrg1ydokJ7S2u6pqP0CSXfQKUx9Z\n5vQlaWxYRJIkSZI0iaaq6uG2/Agw1ZbXAQ/1tdvbYoPih0myhd5dTExNTTEzMzPv5A4cOLCg/UbV\n/8/e/QdZdpb3gf8+lgIhxARhSK8siUjeCGoBZWU0C9p1oDqWDQJ7EfZ6iRRiSUCQWUMl3mg3HuLU\nwppQJTvGTqgQkcFoEVlbgoAxKiQiZK07OFURSDIKSPywRkKEmQySjbCVAZfswc/+cc/gq1H3nOnu\n23P79nw+Vaf63Oec99znvbfnnrlPn/e8O60/yZ/36cpzDs07lZlYelK2dV/8O1qM/igiAQAAO1p3\nd1X1DI+3J8meJNm1a1cvLy+v+xgrKyvZSLvtaqf1J/nzPl2+xkiNRXPlOYfyjs9t4xLA5765avho\nI2J22u/dIvRnG/8GAQAcG0OxgVU8WFWndveBYbjaQ0N8f5IzpvY7fYjtz58PfzscXzkOeQIsDDfW\nBgAAdqIbkhyeYe2yJB+dil86zNJ2fpI/Goa93ZzkJVV1ynBD7ZcMMQAGrkQCAAAWWlVdl8lVRE+v\nqn2ZzLJ2VZIPVtXrknwlyauG3W9K8vIke5N8K8lrkqS7H66qtyW5fdjv5w/fZBuACUUkAABgoXX3\nJWtsumCVfTvJG9c4zjVJrplhasAWODyM/cpzDj3mnlWGsW89RSSO2Wr3m/CPFAAAAE4M7okEAAAA\nwChXIgEAAHDCO3LkxZFDpQBFJDbJlMoAAABwYjCcDQAAAIBRrkRiS7hCCQAAAHYWVyIBAAAAMEoR\nCQAAAIBRhrMBAAAAC89tVbaeIhLH1Wr/qP2DBgAAgO3PcDYAAAAARikiAQAAADDKcDbmzrhVAAAA\n2P4Ukdi2DheXrjznUC6fKjQpLgEAAMDxZzgbAAAAAKNciQQAAABsS2vd/oT5UERi4az2IWKIG8DG\n7PT/mLnvHgDA7CgisaP58gAAAACz4Z5IAAAAAIxyJRI7wnqHY6xnf1ctAQAAgCuRAAAAADgGrkSC\nEW7kDQAAAIpIsCFn7r4xV55zKJdvwaxGClQAAACz48KA2TGcDQAAAIBRrkSCbWatm36rlAMAADBP\nikiwII51RrmjDbNTiAIAAGCjFJHgBHKshai1KEIBO4V7IwAArJ8iEnDM1luEWu0L2SyOAQAAwPGn\niARsmemC0UZns9vs1VNrWas4tZ7nU+ACAABOJIpIwAlpKwtcikuwmPybBoATh/P+xnzXvBM4rKou\nrKovVdXeqto973wAWDzOJQBslnMJwNq2xZVIVXVSkncl+eEk+5LcXlU3dPfn55sZAIvCuYSt4i+V\ncOJwLgGc949uWxSRkrwgyd7uvj9Jqur6JBcl8WENwLFyLjmKrbq/2InMDG+wIzmXnCCcF2Fjqrvn\nnUOq6ieSXNjdf294/JNJXtjdbzpivyuSXDE8fHaSL40c+ulJ/mDG6c6CvNZHXusjr/XbLrn9te5+\nxryTWFRbeC5ZJNvld3nW9Gux7NR+JYvRN+eSTTjO55JF+H1aj53Wn2Tn9Wmn9SfZeX3aLv1Z81yy\nXa5EOibdvSfJnmPdv6ru6O5dW5jShshrfeS1PvJav+2cG7O33nPJItmpv8v6tVh2ar+Snd031mcW\n55Kd9vu00/qT7Lw+7bT+JDuvT4vQn+1yY+39Sc6Yenz6EAOAY+VcAsBmOZcAHMV2KSLdnuTsqjqr\nqp6Q5OIkN8w5JwAWi3MJAJvlXAJwFNtiOFt3H6qqNyW5OclJSa7p7ntmcOjtOlxBXusjr/WR1/pt\n59w4Rlt4LlkkO/V3Wb8Wy07tV7Kz+0aO+7lkp/0+7bT+JDuvTzutP8nO69O278+2uLE2AAAAANvb\ndhnOBgAAAMA2pogEAAAAwKgdWUSqqgur6ktVtbeqdh+H5zujqn67qj5fVfdU1T8Y4m+tqv1Vddew\nvHyqzZuH/L5UVS/dqtyr6oGq+tzw/HcMsadV1S1Vde/w85QhXlX1zuG5P1tVz586zmXD/vdW1WWb\nzOnZU6/JXVX1SFX9zLxer6q6pqoeqqq7p2Ize42q6rzhPdg7tK1N5PXPquqLw3N/pKqeOsTPrKo/\nnnrt3j32/Gv1cYN5zey9q8mNLD81xD9Qk5tabjSvD0zl9EBV3XW8Xy/YKrWOz/dFUlVPraoPDZ91\nX6iq/3GH9Gutc99O6Nv/XpP//9xdVddV1V/c6Gf5dlJV/2Do0z1V9TNDbOHfL+Zvrf8DLapa47vQ\noquqk6rqM1X1sXnnMgurnV/nndNmrHbumXdO67XG95ftf57p7h21ZHIDvPuSfF+SJyT5T0mes8XP\neWqS5w/r353k95I8J8lbk/wfq+z/nCGvJyY5a8j3pK3IPckDSZ5+ROwXk+we1ncn+YVh/eVJPp6k\nkpyf5FND/GlJ7h9+njKsnzLD9+trSf7avF6vJC9O8vwkd2/Fa5Tk08O+NbR92SbyekmSk4f1X5jK\n68zp/Y44zqrPv1YfN5jXzN67JB9McvGw/u4k/9tG8zpi+zuS/F/H+/WyWLZqyTo+3xdpSXJtkr83\nrD8hyVN3Qr+O6OP0uW+h+5bktCRfTvKk4fEHk1y+0c/y7bIkeV6Su5P8pUwmovmtJH990d8vy/yX\no/0faFGXrPFdaN55zaBf/zDJryf52LxzmVF/Hnd+nXdOm+jLqueeeee1gX4c8/fQ7bTsxCuRXpBk\nb3ff391/kuT6JBdt5RN294Hu/t1h/b8m+UImv9hruSjJ9d39aHd/OcneIe/jlftFmXyIZPj5yqn4\n+3vitiRPrapTk7w0yS3d/XB3fyPJLUkunFEuFyS5r7u/MpLvlr1e3f3JJA+v8pybfo2GbU/p7tt6\n8knw/qljrTuv7v5Edx8aHt6W5PSjHWPk+dfq47rzOop1vXfDVT8/mORDs8xrOO6rklx3tGNsxesF\nx9lC/55W1V/J5D9U702S7v6T7v7DLHi/VjF97tsJfTs5yZOq6uRMii4HssHP8m3kv8vkD0XfGs67\n/z7Jj2dnvF/M13H/rrLVNvBdaNurqtOT/EiSX513LrNwlPPrIjvy3PNf5pzPuq3ze+i2sROLSKcl\n+erU4305jh9iVXVmku9P8qkh9KaaDD26ZupStLVy3IrcO8knqurOqrpiiC1194Fh/WtJluaQ12EX\n57Ff7Of9eh02q9fotGF9K3J8bSZXyhx21nDJ7b+vqhdN5bvW86/Vx42axXv3PUn+cKpQNqvX60VJ\nHuzue6di8369YLPW8/m+KM5K8vtJ/p/h3+evVtWTs/j9OtL0uW+h+9bd+5P8UpL/nEnx6I+S3Jmt\n+Sw/nu5O8qKq+p6q+kuZXIl8Rhb8/WJbmOt3la22ynehRfXPk/yjJH8270RmZK3z60Ja7dzT3Z+Y\nb1Yzs+3PMzuxiDQ3VfWXk3w4yc909yNJrk7y3yY5N5Nf7nfMIa2/2d3PT/KyJG+sqhdPbxyutug5\n5JXh/givSPJvh9B2eL0eZ56v0Vqq6ueSHErya0PoQJJndvf3Z7j0tqqecqzHm0Eft+V7N+WSPLZY\nOe/XC2Zh236+b8LJmVzWffXw7/ObmVzK/R0L2q/vWOXc9x2L2LfhjwYXZfIF5XuTPDmzu1p5brr7\nC5kMG/9Ekn+X5K4k3z5in4V7v2ArrfJdaCFV1Y8meai775x3LjM0en5dJKude6rq7843q9nbrueZ\nnVhE2p/JX4oOO32Ibamq+guZfGj+Wnf/RpJ094Pd/e3u/rMk78nk8tWj5Tjz3Icqbbr7oSQfGXJ4\ncBi2c3j4zkPHO6/By5L8bnc/OOQ499dryqxeo/157JCzTedYVZcn+dEkrx4+WDIMF/v6sH5nJmPt\nnzXy/Gv1cd1m+N59PZMhgievku+GDMf68SQfmMp3rq8XzMI6P98Xxb4k+7r78F+wP5TJf3oXvV/T\nHnPuy+L37YeSfLm7f7+7/zTJbyT5gcz4s3weuvu93X1ed784yTcyuc/Lor9fzN9cvqtstdW+Cy2w\nH0jyiqp6IJPhhj9YVf/vfFPatLXOr4tqtXPP/zTnnGZl259ndmIR6fYkZ9dkVpAnZHLJ+A1b+YTD\n/Vbem+QL3f3LU/FTp3b7sUwujc6Qz8VV9cSqOivJ2ZnczHemuVfVk6vquw+vZ3JT5ruHYx6ePeyy\nJB+dyuvSmjg/k8sCDyS5OclLquqUoer7kiG2WY+5OmTer9cRZvIaDdseqarzh9+TS6eOtW5VdWEm\nl9a+oru/NRV/RlWdNKx/Xyav0f0jz79WHzeS10zeu6Eo9ttJfmIWeQ1+KMkXu/s7w9Tm/XrBZm3g\n830hdPfXkny1qp49hC5I8vkseL+OcOSVkYvet/+c5Pyq+kvD5+bh92zWn+XHXVX91eHnMzP5Y8Sv\nZ/HfL+bvuH9X2WprfRdaVN395u4+vbvPzOT9+f+6e6GvcjnK+XVRrXbu+cKcc5qV7X+e6W1wd+9Z\nL5mMW/+9TK4u+Lnj8Hx/M5PLzD6byeXOdw05/JsknxviNyQ5darNzw35fSlTs3XNMvdMZn34T8Ny\nz+HjZXLfmVuT3JvJbCNPG+KV5F3Dc38uya6pY702k5si703ymhm8Zk/O5KqTvzIVm8vrlcl/5g8k\n+dNMqvSvm+VrlGRXJl/u7kvyL5PUJvLam8k4+sO/Z+8e9v1fhvf4riS/m+R/Hnv+tfq4wbxm9t4N\nv7efHvr6b5M8caN5DfH3JXnDEfset9fLYtmKJev8fF+kJZNhsXcMnye/mcmMlwvfr6Fvq537Fr5v\nSf7vJF8cPjv/TSYzcm7os3w7LUl+J5MvWf8pyQU75f2yzH9Z6/9Ai7pkje9C885rRn1bzs6Zne1x\n59d557TJ/jzu3DPvnDbQh2P+HrqdlsNfjgAAAABgTTtxOBsAAAAAM6aIBAAAAMAoRSQAAAAARiki\nAQAAADBKEQkAAACAUYpIAAAAAIxSRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwChFJAAAAABG\nKSIBAAAAMEoRCQAAAIBRikgAAAAAjFJEAgAAAGCUIhIAAAAAoxSRAAAAABiliAQAAADAKEUkAAAA\nAEYpIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAAYJQiEgAAAACjFJEAAAAAGKWIBAAAAMAoRSQA\nAAAARikiAQAAADBKEQkAAACAUYpIAAAAAIxSRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwChF\nJAAAAABGKSIBAAAAMEoRCQAAAIBRikgAAAAAjFJEAgAAAGCUIhIAAAAAoxSRAAAAABiliAQAAADA\nKEUkAAAAAEYpIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAAYJQiEgAAAACjFJEAAAAAGKWIBAAA\nAMAoRSQAAAAARikiAQAAADBKEQkAAACAUYpIAAAAAIxSRAIAAABglCISAAAAAKMUkQAAAAAYpYgE\nAAAAwChFJAAAAABGKSIBAAAAMEoRCQAAAIBRikiwiqr6P6vqw0fE3llV/2JeOQGwWKrqb1fVwanl\n0apamXdeAAAbVd097xxg26mqU5PsTXJad/9hVZ2c5L8keVl33znf7ABYNFX1lCSfSvLPu/tfzzsf\nAICNcCUSrKK7DyT5ZJL/dQhdmOQPFJAAWK+q+q4kv55kRQEJAFhkikiwtmuT/N1h/e8m+TdzzAWA\nxfX2JN+d5O/POxEAgM0wnA3WUFV/McmBJC9KcluS53T3f55vVgAskqq6OMlVSf6H7v79eecDALAZ\nikhwFFX1niQvzGQo2w/OOx8AFkdVfX+STyT54e6+a975AABsluFscHTXJjknhrIBsH4XJTklyX+Y\nmqHt4/NOCgBgo1yJBEdRVc9M8sUk/013PzLvfAAAAGBeXIkEaxhm0/mHSa5XQAIAAOBEd/K8E4Dt\nqKqenOTBJF9JcuGc0wEAAIC5M5wNAAAAgFGGswEAAAAwShEJAAAAgFELe0+kpz/96X3mmWeuu903\nv/nNPPnJT559QseJ/OdnkXNP5D9vx5L/nXfe+Qfd/YzjlBI5cc4li5Zvsng5y3drLVq+yfxydi4B\nYCstbBHpzDPPzB133LHudisrK1leXp59QseJ/OdnkXNP5D9vx5J/VX3l+GTDYSfKuWTR8k0WL2f5\nbq1FyzeZX87OJQBsJcPZAAAAABiliAQAAADAKEUkAAAAAEYpIgEAAAAwarSIVFXXVNVDVXX3VOwD\nVXXXsDxQVXcN8TOr6o+ntr17qs15VfW5qtpbVe+sqhriT6uqW6rq3uHnKVvRUQAAAAA27liuRHpf\nkgunA939t7v73O4+N8mHk/zG1Ob7Dm/r7jdMxa9O8vokZw/L4WPuTnJrd5+d5NbhMQAAAADbyGgR\nqbs/meTh1bYNVxO9Ksl1RztGVZ2a5CndfVt3d5L3J3nlsPmiJNcO69dOxQEAAADYJk7eZPsXJXmw\nu++dip1VVZ9J8kiSf9Ldv5PktCT7pvbZN8SSZKm7DwzrX0uytNaTVdUVSa5IkqWlpaysrKw74YMH\nD26o3XYh//lZ5NwT+c/boucPAACw2SLSJXnsVUgHkjyzu79eVecl+c2qeu6xHqy7u6r6KNv3JNmT\nJLt27erl5eV1J7yyspKNtNsu5D8/i5x7Iv95W/T8AQAANlxEqqqTk/x4kvMOx7r70SSPDut3VtV9\nSZ6VZH+S06eanz7EkuTBqjq1uw8Mw94e2mhOAAAAAGyNY7mx9lp+KMkXu/s7w9Sq6hlVddKw/n2Z\n3ED7/mG42iNVdf5wH6VLk3x0aHZDksuG9cum4gAAAABsE6NFpKq6Lsl/TPLsqtpXVa8bNl2cx99Q\n+8VJPltVdyX5UJI3dPfhm3L/dJJfTbI3yX1JPj7Er0ryw1V1byaFqas20R8AAAAAtsDocLbuvmSN\n+OWrxD6c5MNr7H9HkuetEv96kgvG8tjuztx946rxB676keOcCQCLyrkEAIDtbDPD2QAAAAA4QSgi\nAQAAADBKEQkAAACAUYpIAAAAAIxSRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwKiT553ATnfm\n7htXjT9w1Y8c50wAAAAANs6VSAAAAACMUkQCAAAAYJQiEgAAAACjFJEA2HJVdU1VPVRVd0/FPlBV\ndw3LA1V11xA/s6r+eGrbu6fanFdVn6uqvVX1zqqqIf60qrqlqu4dfp5y/HsJAAA7myISAMfD+5Jc\nOB3o7r/d3ed297lJPpzkN6Y233d4W3e/YSp+dZLXJzl7WA4fc3eSW7v77CS3Do8BAIAZUkQCYMt1\n9yeTPLzatuFqolclue5ox6iqU5M8pbtv6+5O8v4krxw2X5Tk2mH92qk4AAAwIyfPOwEATngvSvJg\nd987FTurqj6T5JEk/6S7fyfJaUn2Te2zb4glyVJ3HxjWv5Zkaa0nq6orklyRJEtLS1lZWVl3wgcP\nHtxQuzFXnnNo1fhmn2ur8t1Ki5azfLfWouWbLGbOADBGEQmAebskj70K6UCSZ3b316vqvCS/WVXP\nPdaDdXdXVR9l+54ke5Jk165dvby8vO6EV1ZWspF2Yy7ffeOq8Qdevbnn2qp8t9Ki5SzfrbVo+SaL\nmTMAjFFEAmBuqurkJD+e5LzDse5+NMmjw/qdVXVfkmcl2Z/k9Knmpw+xJHmwqk7t7gPDsLeHjkf+\nAABwInFPJADm6YeSfLG7vzNMraqeUVUnDevfl8kNtO8fhqs9UlXnD/dRujTJR4dmNyS5bFi/bCoO\nAADMiCISAFuuqq5L8h+TPLuq9lXV64ZNF+fxN9R+cZLPVtVdST6U5A3dffim3D+d5FeT7E1yX5KP\nD/GrkvxwVd2bSWHqqi3rDAAAnKAMZwNgy3X3JWvEL18l9uEkH15j/zuSPG+V+NeTXLC5LAEAgKNx\nJRIAAAAAoxSRAAAAABiliAQAAADAKEUkAAAAAEYpIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAA\nYJQiEgAAAACjFJEAAAAAGKWIBAAAAMCo0SJSVV1TVQ9V1d1TsbdW1f6qumtYXj617c1VtbeqvlRV\nL52KXzjE9lbV7qn4WVX1qSH+gap6wiw7CAAAAMDmHcuVSO9LcuEq8V/p7nOH5aYkqarnJLk4yXOH\nNv+qqk6qqpOSvCvJy5I8J8klw75J8gvDsf56km8ked1mOgQAAADA7I0Wkbr7k0kePsbjXZTk+u5+\ntLu/nGRvkhcMy97uvr+7/yTJ9UkuqqpK8oNJPjS0vzbJK9fZBwAAAAC22GbuifSmqvrsMNztlCF2\nWpKvTu2zb4itFf+eJH/Y3YeOiAMAAACwjZy8wXZXJ3lbkh5+viPJa2eV1Fqq6ookVyTJ0tJSVlZW\n1n2MgwcPbqjdmCvPOTS+05SN5rBV+R8vi5z/IueeyH/eFj1/AACADRWRuvvBw+tV9Z4kHxse7k9y\nxtSupw+xrBH/epKnVtXJw9VI0/uv9rx7kuxJkl27dvXy8vK6c19ZWclG2o25fPeN69r/gVdvLIet\nyv94WeT8Fzn3RP7ztuj5AwAAbGg4W1WdOvXwx5IcnrnthiQXV9UTq+qsJGcn+XSS25OcPczE9oRM\nbr59Q3d3kt9O8hND+8uSfHQjOQEAAACwdUavRKqq65IsJ3l6Ve1L8pYky1V1bibD2R5I8lNJ0t33\nVNUHk4ZCIYAAACAASURBVHw+yaEkb+zubw/HeVOSm5OclOSa7r5neIqfTXJ9Vf3TJJ9J8t6Z9Q4A\nAACAmRgtInX3JauE1yz0dPfbk7x9lfhNSW5aJX5/JrO3AQAAALBNbWZ2NgAAAABOEIpIAAAAAIxS\nRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwChFJAAAAABGKSIBAAAAMEoRCQAAAIBRikgAAAAA\njFJEAmDLVdU1VfVQVd09FXtrVe2vqruG5eVT295cVXur6ktV9dKp+IVDbG9V7Z6Kn1VVnxriH6iq\nJxy/3gEAwIlBEQmA4+F9SS5cJf4r3X3usNyUJFX1nCQXJ3nu0OZfVdVJVXVSkncleVmS5yS5ZNg3\nSX5hONZfT/KNJK/b0t4AAMAJSBEJgC3X3Z9M8vAx7n5Rkuu7+9Hu/nKSvUleMCx7u/v+7v6TJNcn\nuaiqKskPJvnQ0P7aJK+caQcAAICcPO8EADihvamqLk1yR5Iru/sbSU5LctvUPvuGWJJ89Yj4C5N8\nT5I/7O5Dq+z/OFV1RZIrkmRpaSkrKyvrTvrgwYMbajfmynMOrRrf7HNtVb5badFylu/WWrR8k8XM\nGQDGKCIBMC9XJ3lbkh5+viPJa7f6Sbt7T5I9SbJr165eXl5e9zFWVlaykXZjLt9946rxB169uefa\nqny30qLlLN+ttWj5JouZMwCMUUQCYC66+8HD61X1niQfGx7uT3LG1K6nD7GsEf96kqdW1cnD1UjT\n+wMAADOiiATAXFTVqd19YHj4Y0kOz9x2Q5Jfr6pfTvK9Sc5O8ukkleTsqjorkyLRxUn+Tnd3Vf12\nkp/I5D5JlyX56PHryfycucqVSw9c9SNzyAQAgBOBIhIAW66qrkuynOTpVbUvyVuSLFfVuZkMZ3sg\nyU8lSXffU1UfTPL5JIeSvLG7vz0c501Jbk5yUpJruvue4Sl+Nsn1VfVPk3wmyXuPU9cAAOCEoYgE\nwJbr7ktWCa9Z6Onutyd5+yrxm5LctEr8/kxmbwMAALbId807AQAAAAC2P0UkAAAAAEYpIgEAAAAw\nShEJAAAAgFFurL0Bq02pDAAAALCTuRIJAAAAgFGKSAAAAACMUkQCAAAAYJQiEgAAAACjFJEAAAAA\nGKWIBAAAAMAoRSQAAAAARikiAQAAADBKEQkAAACAUaNFpKq6pqoeqqq7p2L/rKq+WFWfraqPVNVT\nh/iZVfXHVXXXsLx7qs15VfW5qtpbVe+sqhriT6uqW6rq3uHnKVvRUQAAAAA27liuRHpfkguPiN2S\n5Hnd/TeS/F6SN09tu6+7zx2WN0zFr07y+iRnD8vhY+5Ocmt3n53k1uExAAAAANvIaBGpuz+Z5OEj\nYp/o7kPDw9uSnH60Y1TVqUme0t23dXcneX+SVw6bL0py7bB+7VQcAAAAgG3i5Bkc47VJPjD1+Kyq\n+kySR5L8k+7+nSSnJdk3tc++IZYkS919YFj/WpKlGeQEADvGmbtvnHcKAACwuSJSVf1ckkNJfm0I\nHUjyzO7+elWdl+Q3q+q5x3q87u6q6qM83xVJrkiSpaWlrKysrDvngwcPbqjdtCvPOTS+04iN5jCL\n/OdpkfNf5NwT+c/boucPAACw4SJSVV2e5EeTXDAMUUt3P5rk0WH9zqq6L8mzkuzPY4e8nT7EkuTB\nqjq1uw8Mw94eWus5u3tPkj1JsmvXrl5eXl533isrK9lIu2mXz+Avwg+8emM5zCL/eVrk/Bc590T+\n87bo+QMAABzLjbUfp6ouTPKPkryiu781FX9GVZ00rH9fJjfQvn8YrvZIVZ0/zMp2aZKPDs1uSHLZ\nsH7ZVBwAAACAbWL0SqSqui7JcpKnV9W+JG/JZDa2Jya5ZVITym3DTGwvTvLzVfWnSf4syRu6+/BN\nuX86k5nenpTk48OSJFcl+WBVvS7JV5K8aiY9AwAAAGBmRotI3X3JKuH3rrHvh5N8eI1tdyR53irx\nrye5YCwPAAAAAOZnQ8PZAAAAADixKCIBAAAAMEoRCQAAAIBRikgAAAAAjFJEAgAAAGCUIhIAAAAA\noxSRANhyVXVNVT1UVXdPxf5ZVX2xqj5bVR+pqqcO8TOr6o+r6q5hefdUm/Oq6nNVtbeq3llVNcSf\nVlW3VNW9w89Tjn8vAQBgZ1NEAuB4eF+SC4+I3ZLked39N5L8XpI3T227r7vPHZY3TMWvTvL6JGcP\ny+Fj7k5ya3efneTW4TEAADBDikgAbLnu/mSSh4+IfaK7Dw0Pb0ty+tGOUVWnJnlKd9/W3Z3k/Ule\nOWy+KMm1w/q1U3EAAGBGFJEA2A5em+TjU4/PqqrPVNW/r6oXDbHTkuyb2mffEEuSpe4+MKx/LcnS\nlmYLAAAnoJPnnQAAJ7aq+rkkh5L82hA6kOSZ3f31qjovyW9W1XOP9Xjd3VXVR3m+K5JckSRLS0tZ\nWVlZd84HDx7cULsxV55zaHynEavltVX5bqVFy1m+W2vR8k0WM2cAGKOIBMDcVNXlSX40yQXDELV0\n96NJHh3W76yq+5I8K8n+PHbI2+lDLEkerKpTu/vAMOztobWes7v3JNmTJLt27erl5eV1572yspKN\ntBtz+e4bN32MB169/LjYVuW7lRYtZ/lurUXLN1nMnAFgjOFsAMxFVV2Y5B8leUV3f2sq/oyqOmlY\n/75MbqB9/zBc7ZGqOn+Yle3SJB8dmt2Q5LJh/bKpOAAAMCOuRAJgy1XVdUmWkzy9qvYleUsms7E9\nMcktk5pQbhtmYntxkp+vqj9N8mdJ3tDdh2/K/dOZzPT2pEzuoXT4PkpXJflgVb0uyVeSvOo4dAsA\nAE4oikgAbLnuvmSV8HvX2PfDST68xrY7kjxvlfjXk1ywmRwBAICjM5wNAAAAgFGKSAAAAACMUkQC\nAAAAYJQiEgAAAACjFJEAAAAAGKWIBAAAAMAoRSQAAAAARikiAQAAADBKEQkAAACAUYpIAAAAAIxS\nRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwChFJAAAAABGKSIBAAAAMEoRCQAAAIBRikgAAAAA\njDqmIlJVXVNVD1XV3VOxp1XVLVV17/DzlCFeVfXOqtpbVZ+tqudPtbls2P/eqrpsKn5eVX1uaPPO\nqqpZdhIAAACAzTnWK5Hel+TCI2K7k9za3WcnuXV4nCQvS3L2sFyR5OpkUnRK8pYkL0zygiRvOVx4\nGvZ5/VS7I58LAAAAgDk6piJSd38yycNHhC9Kcu2wfm2SV07F398TtyV5alWdmuSlSW7p7oe7+xtJ\nbkly4bDtKd19W3d3kvdPHQsAAACAbeDkTbRd6u4Dw/rXkiwN66cl+erUfvuG2NHi+1aJP05VXZHJ\n1U1ZWlrKysrKupM+ePDghtpNu/KcQ5tqn2TDOcwi/3la5PwXOfdE/vO26PkDAABspoj0Hd3dVdWz\nONbI8+xJsidJdu3a1cvLy+s+xsrKSjbSbtrlu2/cVPskeeDVG8thFvnP0yLnv8i5J/Kft0XPHwAA\nYDOzsz04DEXL8POhIb4/yRlT+50+xI4WP32VOAAAAADbxGaKSDckOTzD2mVJPjoVv3SYpe38JH80\nDHu7OclLquqU4YbaL0ly87Dtkao6f5iV7dKpYwEAAACwDRzTcLaqui7JcpKnV9W+TGZZuyrJB6vq\ndUm+kuRVw+43JXl5kr1JvpXkNUnS3Q9X1duS3D7s9/Pdffhm3T+dyQxwT0ry8WEBAAAAYJs4piJS\nd1+yxqYLVtm3k7xxjeNck+SaVeJ3JHneseQCAAAAwPG3meFsAAAAAJwgFJEAAAAAGKWIBAAAAMAo\nRSQAjouquqaqHqqqu6diT6uqW6rq3uHnKUO8quqdVbW3qj5bVc+fanPZsP+9VXXZVPy8qvrc0Oad\nw4yfAADAjCgiAXC8vC/JhUfEdie5tbvPTnLr8DhJXpbk7GG5IsnVyaTolMkMoS9M8oIkbzlceBr2\nef1UuyOfCwAA2ARFJACOi+7+ZJKHjwhflOTaYf3aJK+cir+/J25L8tSqOjXJS5Pc0t0Pd/c3ktyS\n5MJh21O6+7ZhltD3Tx0LAACYAUUkAOZpqbsPDOtfS7I0rJ+W5KtT++0bYkeL71slDgAAzMjJ804A\nAJKku7uqequfp6quyGSIXJaWlrKysrLuYxw8eHBD7cZcec6hTR9jtby2Kt+ttGg5y3drLVq+yWLm\nDABjFJEAmKcHq+rU7j4wDEl7aIjvT3LG1H6nD7H9SZaPiK8M8dNX2f9xuntPkj1JsmvXrl5eXl5t\nt6NaWVnJRtqNuXz3jZs+xgOvXn5cbKvy3UqLlrN8t9ai5ZssZs4AMMZwNgDm6YYkh2dYuyzJR6fi\nlw6ztJ2f5I+GYW83J3lJVZ0y3FD7JUluHrY9UlXnD7OyXTp1LAAAYAZciQTAcVFV12VyFdHTq2pf\nJrOsXZXkg1X1uiRfSfKqYfebkrw8yd4k30rymiTp7oer6m1Jbh/2+/nuPnyz7p/OZAa4JyX5+LAA\nAAAzoogEwHHR3ZessemCVfbtJG9c4zjXJLlmlfgdSZ63mRwBAIC1Gc4GAAAAwChFJAAAAABGKSIB\nAAAAMEoRCQAAAIBRikgAAAAAjFJEAgAAAGCUIhIAAAAAoxSRAAAAABiliAQAAADAKEUkAAAAAEYp\nIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAAYJQiEgAAAACjFJEAAAAAGKWIBAAAAMAoRSQAAAAA\nRikiAQAAADBKEQkAAACAUYpIAAAAAIzacBGpqp5dVXdNLY9U1c9U1Vurav9U/OVTbd5cVXur6ktV\n9dKp+IVDbG9V7d5spwAAAACYrZM32rC7v5Tk3CSpqpOS7E/ykSSvSfIr3f1L0/tX1XOSXJzkuUm+\nN8lvVdWzhs3vSvLDSfYlub2qbujuz280NwAAAABma8NFpCNckOS+7v5KVa21z0VJru/uR5N8uar2\nJnnBsG1vd9+fJFV1/bCvIhIAAADANjGrItLFSa6bevymqro0yR1JruzubyQ5LcltU/vsG2JJ8tUj\n4i9c7Umq6ookVyTJ0tJSVlZW1p3owYMHN9Ru2pXnHNpU+yQbzmEW+c/TIue/yLkn8p+3Rc8fAABg\n00WkqnpCklckefMQujrJ25L08PMdSV672edJku7ek2RPkuzatauXl5fXfYyVlZVspN20y3ffuKn2\nSfLAqzeWwyzyn6dFzn+Rc0/kP2+Lnj8AAMAsrkR6WZLf7e4Hk+TwzySpqvck+djwcH+SM6banT7E\ncpQ4AAAAANvAhmdnm3JJpoayVdWpU9t+LMndw/oNSS6uqidW1VlJzk7y6SS3Jzm7qs4armq6eNgX\nAAAAgG1iU1ciVdWTM5lV7aemwr9YVedmMpztgcPbuvueqvpgJjfMPpTkjd397eE4b0pyc5KTklzT\n3fdsJi8AAAAAZmtTRaTu/maS7zki9pNH2f/tSd6+SvymJDdtJhcAAAAAts4shrMBwIZU1bOr6q6p\n5ZGq+pmqemtV7Z+Kv3yqzZuram9VfamqXjoVv3CI7a2q3fPpEQAA7FyzuLE2AGxId38pyblJUlUn\nZTKxwkeSvCbJr3T3L03vX1XPyeTeec9N8r1JfquqnjVsflcmQ6z3Jbm9qm7o7s8fl44AAMAJQBEJ\ngO3igiT3dfdXqmqtfS5Kcn13P5rky1W1N8kLhm17u/v+JKmq64d9FZEAAGBGFJEA2C4uztRsn0ne\nVFWXJrkjyZXd/Y0kpyW5bWqffUMsSb56RPyFqz1JVV2R5IokWVpaysrKyroTPXjw4IbajbnynEOb\nPsZqeW1Vvltp0XKW79ZatHyTxcwZAMYoIgEwd1X1hCSvSPLmIXR1krdlMtPn25K8I8lrZ/Fc3b0n\nyZ4k2bVrVy8vL6/7GCsrK9lIuzGX775x08d44NXLj4ttVb5badFylu/WWrR8k8XMGQDGKCIBsB28\nLMnvdveDSXL4Z5JU1XuSfGx4uD/JGVPtTh9iOUocAACYAbOzAbAdXJKpoWxVderUth9LcvewfkOS\ni6vqiVV1VpKzk3w6ye1Jzq6qs4armi4e9gUAAGbElUgAzFVVPTmTWdV+air8i1V1bibD2R44vK27\n76mqD2Zyw+xDSd7Y3d8ejvOmJDcnOSnJNd19z3HrBAAAnAAUkQCYq+7+ZpLvOSL2k0fZ/+1J3r5K\n/KYkN808QQAAIInhbAAAAAAcA0UkAAAAAEYpIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAAYJQi\nEgAAAACjFJEAAAAAGKWIBAAAAMAoRSQAAAAARikiAQAAADDq5HkncKI6c/eNj4s9cNWPzCETAAAA\ngHGuRAIAAABglCISAAAAAKMUkQAAAAAYpYgEAAAAwChFJAAAAABGKSIBAAAAMEoRCQAAAIBRikgA\nAAAAjFJEAgAAAGCUIhIAAAAAoxSRAAAAABiliAQAAADAqE0Xkarqgar6XFXdVVV3DLGnVdUtVXXv\n8POUIV5V9c6q2ltVn62q508d57Jh/3ur6rLN5gUAAADA7MzqSqS/1d3ndveu4fHuJLd299lJbh0e\nJ8nLkpw9LFckuTqZFJ2SvCXJC5O8IMlbDheeAAAAAJi/rRrOdlGSa4f1a5O8cir+/p64LclTq+rU\nJC9Nckt3P9zd30hyS5ILtyg3AAAAANbp5Bkco5N8oqo6yb/u7j1Jlrr7wLD9a0mWhvXTknx1qu2+\nIbZW/DGq6opMrmDK0tJSVlZW1p3swYMHN9Ru2pXnHNpU+7UcS16zyH+eFjn/Rc49kf+8LXr+AAAA\nsygi/c3u3l9VfzXJLVX1xemN3d1DgWnThgLVniTZtWtXLy8vr/sYKysr2Ui7aZfvvnFT7dfywKuX\nR/eZRf7ztMj5L3LuifznbdHzBwAA2HQRqbv3Dz8fqqqPZHJPower6tTuPjAMV3to2H1/kjOmmp8+\nxPYnWT4ivrLZ3ADgRHPmKn/ouPKcQ485yQIAwEZs6p5IVfXkqvruw+tJXpLk7iQ3JDk8w9plST46\nrN+Q5NJhlrbzk/zRMOzt5iQvqapThhtqv2SIAXACMNMnAABsf5u9EmkpyUeq6vCxfr27/11V3Z7k\ng1X1uiRfSfKqYf+bkrw8yd4k30rymiTp7oer6m1Jbh/2+/nufniTuQGwWP5Wd//B1OPDM31eVVW7\nh8c/m8fO9PnCTGb6fOHUTJ+7Mrlf351VdcMwYQMAALBJmyoidff9Sf77VeJfT3LBKvFO8sY1jnVN\nkms2kw8AO8pF+fOhztdmMsz5ZzM102eS26rq8Eyfyxlm+kySqjo80+d1xzdtAADYmWZxY20A2KwT\nbqbP1WzV7J9LTzq2GUC3k0Wb0VC+W2vR8k0WM2cAGKOIBMB2cMLN9LmarZr988pzDuVVCzY74KLN\naCjfrbVo+SaLmTMAjNnUjbUBYBamZ/pM8piZPpNkHTN9rhYHAABmQBEJgLky0ycAACwGw9kAmDcz\nfQIAwAJQRAJgrsz0CQAAi8FwNgAAAABGKSIBAAAAMEoRCQAAAIBRikgAAAAAjFJEAgAAAGCUIhIA\nAAAAoxSRAAAAABiliAQAAADAKEUkAAAAAEYpIgEAAAAwShEJAAAAgFGKSAAAAACMUkQCAAAAYJQi\nEgAAAACjFJEAAAAAGKWIBAAAAMAoRSQAAAAARikiAQAAADBKEQkAAACAUYpIAAAAAIxSRAIAAABg\nlCISAAAAAKMUkQAAAAAYpYgEAAAAwChFJAAAAABGKSIBAAAAMEoRCQAAAIBRGy4iVdUZVfXbVfX5\nqrqnqv7BEH9rVe2vqruG5eVTbd5cVXur6ktV9dKp+IVDbG9V7d5clwAAAACYtZM30fZQkiu7+3er\n6ruT3FlVtwzbfqW7f2l656p6TpKLkzw3yfcm+a2qetaw+V1JfjjJviS3V9UN3f35TeQGAAAAwAxt\nuIjU3QeSHBjW/2tVfSHJaUdpclGS67v70SRfrqq9SV4wbNvb3fcnSVVdP+yriAQAAACwTWzmSqTv\nqKozk3x/kk8l+YEkb6qqS5PckcnVSt/IpMB021SzffnzotNXj4i/cI3nuSLJFUmytLSUlZWVded6\n8ODBDbWbduU5hzbVfi3Hktcs8p+nRc5/kXNP5D9vi57/VqmqM5K8P8lSkk6yp7v/RVW9Ncnrk/z+\nsOs/7u6bhjZvTvK6JN9O8ve7++YhfmGSf5HkpCS/2t1XHc++AADATrfpIlJV/eUkH07yM939SFVd\nneRtmXwZeFuSdyR57WafJ0m6e0+SPUmya9euXl5eXvcxVlZWspF20y7ffeOm2q/lgVcvj+4zi/zn\naZHzX+TcE/nP26Lnv4UMjQYAgAWxqSJSVf2FTApIv9bdv5Ek3f3g1Pb3JPnY8HB/kjOmmp8+xHKU\nOAA7mKHRAACwODZcRKqqSvLeJF/o7l+eip86fClIkh9LcvewfkOSX6+qX87kr8dnJ/l0kkpydlWd\nlUnx6OIkf2ejeQGwmE60odGr2arh0ktPOrYh09vJog0Ble/WWrR8k8XMGQDGbOZKpB9I8pNJPldV\ndw2xf5zkkqo6N5PhbA8k+akk6e57quqDmfxV+FCSN3b3t5Okqt6U5OZM7mNxTXffs4m8AFgwJ+LQ\n6NVs1XDpK885lFct2HDKRRsCKt+ttWj5JouZMwCM2czsbP8hk6uIjnTTUdq8PcnbV4nfdLR2AOxc\nhkYDAMBi+K55J8D/3979hVp2lncA/r3MGFtsadQUKZnURA2GuagTKVapSJqiRCNGQSTBgi2FeJFQ\nCy1l2ptqQdCLtvZCBKsxXmhV4r+g4h80YK9stIlGTYMxjCRDzLS0trUXhtS3F3uNnszknHUm0zNr\nfXOeBw5nf9/enP07a9Y675p3729tgP1rp6XRWx526tLo66vqqdMy6JNLo+/MtDS6qi7IZmn07efi\ndwAAgP3irD+dDQDOgqXRAAAwCE0kABZjaTQAAIzDcjYAAAAAZmkiAQAAADBLEwkAAACAWZpIAAAA\nAMzSRAIAAABgliYSAAAAALM0kQAAAACYpYkEAAAAwCxNJAAAAABmaSIBAAAAMEsTCQAAAIBZmkgA\nAAAAzNJEAgAAAGCWJhIAAAAAszSRAAAAAJiliQQAAADALE0kAAAAAGZpIgEAAAAw6+DSAQBgP7r0\n6GeXjgAAAGfEO5EAAAAAmOWdSCuy3avSx95x7TlOAgAAAPB4mkgAsA94oQIAgLNlORsAAAAAszSR\nAAAAAJiliQQAAADALE0kAAAAAGZpIgEAAAAwSxMJAAAAgFmaSAAAAADMWk0Tqaquqar7qur+qjq6\ndB4AxqOWAADA3llFE6mqDiR5d5JXJjmc5IaqOrxsKgBGopYAAMDeWkUTKcmLktzf3Q9096NJPpLk\nuoUzATAWtQQAAPbQwaUDTC5O8uCW8UNJfmuhLACM6ZzVknuO/2d+/+hnT5s/9o5r9+Lp9tSl58nv\nAQDA3ltLE2lXqurGJDdOwx9X1X1P4sdclOTf/v9S7b165+OGw+U/xcj5R86eyL+03eR/9rkIst/t\nZS055e/1avzRGR4/K/k9Rjvm5d1bo+VNlsuslgCwZ9bSRDqe5JIt40PT3ON093uTvPdsnqiqvt7d\nv3k2P2NJ8i9n5OyJ/EsbPf8g1JJtjJY3GS+zvHtrtLzJmJkBYM5arol0Z5LLq+qyqrogyfVJbl84\nEwBjUUsAAGAPreKdSN39WFXdnOQLSQ4kuaW7v7NwLAAGopYAAMDeWkUTKUm6+3NJPncOnuqsljCs\ngPzLGTl7Iv/SRs8/BLVkW6PlTcbLLO/eGi1vMmZmANhRdffSGQAAAABYubVcEwkAAACAFds3TaSq\nuqaq7quq+6vq6NJ5dqOqbqmqE1X17S1zz6iqL1XV96bvT18y43aq6pKquqOqvltV36mqt0zzo+T/\nhar6p6r65pT/bdP8ZVX1tWk/+uh08d5VqqoDVXVXVX1mGg+TPUmq6lhV3VNVd1fV16e5UfafC6vq\ntqr6l6q6t6peMkp2djZoLTntWFqTEWvdNpnfWlXHp+18d1W9asmMW41Wk3fIu8ptfD6cMwDAbu2L\nJlJVHUjy7iSvTHI4yQ1VdXjZVLtya5JrTpk7muTL3X15ki9P4zV6LMmfdPfhJC9OctO0zUfJ/5Mk\nV3f3C5IcSXJNVb04yTuT/G13Py/JfyT5wwUzznlLknu3jEfKftLvdPeRLR+RPMr+83dJPt/dVyR5\nQTb/DqNkZxsD15Lk9GNpTW7NeLXu1pyeOdn8jT0yfZ2La3Pt1mg1ebu8yTq38flwzgAAu7IvmkhJ\nXpTk/u5+oLsfTfKRJNctnGlWd381yb+fMn1dkg9Otz+Y5LXnNNQudffD3f3P0+3/zuY/0RdnnPzd\n3T+ehk+ZvjrJ1Ulum+ZXm7+qDiW5Nsn7pnFlkOwzVr//VNWvJHlZkvcnSXc/2t0/ygDZmTVkLVm7\nEWvdNplXa7SavEPeVRr9nAEAzsR+aSJdnOTBLeOHsuKTkRnP6u6Hp9s/TPKsJcPsRlVdmuTKJF/L\nQPmn5WB3JzmR5EtJvp/kR9392PSQNe9H70ryZ0l+Oo2fmXGyn9RJvlhV36iqG6e5Efafy5L8a5IP\nTMsJ31dVT8sY2dnZqLXkiY6ltRv1eLm5qr41LXdbxdKwU41Wk0/Jm6x0Gw9+zgAAu7Zfmkjnpd58\ntN6qP16vqn4pyceT/HF3/9fW+9aev7v/t7uPJDmUzTsQrlg40q5U1auTnOjubyyd5Sy9tLtfmM3S\noZuq6mVb71zx/nMwyQuTvKe7r0zyPzlliciKs3N+2vFYWruBjpf3JHluNsuZHk7y18vGOd1oNfkJ\n8q52G496zgAAZ2q/NJGOJ7lky/jQNDeiR6rq15Jk+n5i4TzbqqqnZHPy96Hu/sQ0PUz+k6alSHck\neUmSC6vq4HTXWvej307ymqo6ls1ym6uzuUbPCNl/pruPT99PJPlkNiflI+w/DyV5qLtPvmp+WzZN\na8k72AAAAdxJREFUpRGys7Mha8k2x9LaDXe8dPcjUyPhp0n+PivbzqPV5CfKu/ZtnAx5zgAAZ2S/\nNJHuTHL59CkZFyS5PsntC2d6sm5P8qbp9puSfHrBLNuarsHz/iT3dvffbLlrlPy/WlUXTrd/McnL\ns7kmwx1JXj89bJX5u/vPu/tQd1+azb7+le5+YwbIflJVPa2qfvnk7SSvSPLtDLD/dPcPkzxYVc+f\npn43yXczQHZmDVdLdjiW1m644+VkM2byuqxoO49Wk7fLu9ZtPPI5AwCcqdq8e/n8N30M7LuSHEhy\nS3e/feFIs6rqH5JcleSiJI8k+cskn0rysSS/nuQHSd7Q3au7uGdVvTTJPya5Jz+/Ls9fZHNNgxHy\n/0Y2F8E8kE2z9WPd/VdV9Zxs3t3zjCR3Jfm97v7Jckl3VlVXJfnT7n71SNmnrJ+chgeTfLi7315V\nz8wY+8+RbC5qfkGSB5L8Qab9KCvPzs5GqyXbHUsLRjrNiLVum8xXZbPMqpMcS/LmLdcbWtRoNXmH\nvDdkhdv4fDlnAIDd2DdNJAAAAACevP2ynA0AAACAs6CJBAAAAMAsTSQAAAAAZmkiAQAAADBLEwkA\nAACAWZpIAAAAAMzSRAIAAABgliYSAAAAALP+D7B34ujawHScAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x1440 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jk9PxcVIYvMW",
        "colab_type": "text"
      },
      "source": [
        "**Correlation Matrix to Analyze Relationships Between Attributes**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Tw2apv6Co7N",
        "colab_type": "code",
        "outputId": "bd579c4d-9fee-497c-cd69-d3562cf511fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        }
      },
      "source": [
        "cor = df.corr()\n",
        "plt.figure(figsize = (15,15))\n",
        "sns.heatmap(cor, annot=True)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f57f8952898>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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NLvZ3WAHtqXs7afm6DbrtieFatu5PRZUro5CQo28p/6TsVf/XP9SQR7sVOo8T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SJDcA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\nTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x1080 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nNTCdULRY3_l",
        "colab_type": "text"
      },
      "source": [
        "**Scatterplot Looking at Carat and Price Relationship**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mnFvh6OODH69",
        "colab_type": "code",
        "outputId": "39b83c78-2e9d-4017-99ea-0f3ae4609eb0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 278
        }
      },
      "source": [
        "scatter = sns.scatterplot(x=df['carat'], y=df['price'], data=df, palette='cmap')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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L9bsYM7jYj+IumzWGUZVxFAES2NiQ9FN41WVRXvugwd+/MZHNcxDbW1N55IAcuqcWAwTY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tQ/bG0dbf1ElD0uTUFNLXr0VRJK1RjP1j7SmZPAE5LYtPomaHpLJqU2q7PAZb9+ls/8w26ZPW4C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\n7cHDhqsAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HRmhKITydNIO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}