python_exercises6_solutions.ipynb

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      "name": "python-exercises6-solutions.ipynb",
      "provenance": [],
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    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2iiNvtpD1n72",
        "colab_type": "text"
      },
      "source": [
        "Let's begin by loading the `plotnine` module; call it `p9` for convenience."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qiisrphy1tHt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import plotnine as p9"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ASArtf6r2Scs",
        "colab_type": "text"
      },
      "source": [
        "We'll also need `pandas` (call it `pd`):"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ifk6Dj6y2XCA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zkwpr8wLzl5h",
        "colab_type": "text"
      },
      "source": [
        "We'll want to connect to the shared Google Drive to get access to our data. Remember, this is always done the same way:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hVlGlyQPzrwi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "666af3fe-f619-4491-b0ae-aaa1efe37cad"
      },
      "source": [
        "# mount google drive \n",
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U53QQLlx18-d",
        "colab_type": "text"
      },
      "source": [
        "Now load the LABEVENTS.csv and PATIENTS.csv data from MIMIC:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J__DChom1-kB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "labevents = pd.read_csv(\"/content/gdrive/My Drive/[YCMI_CBDS Summer Course] Data/mimic_iii/LABEVENTS.csv\")\n",
        "patients = pd.read_csv(\"/content/gdrive/My Drive/[YCMI_CBDS Summer Course] Data/mimic_iii/PATIENTS.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H8fBZKS19paR",
        "colab_type": "text"
      },
      "source": [
        "Take a look at both datasets to get a sense of how it is structured:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yI-s7dv89vWN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "outputId": "b0949ff1-831a-4f9a-b10f-16d484791def"
      },
      "source": [
        "labevents"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>charttime</th>\n",
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              "      <td>50893</td>\n",
              "      <td>2164-09-24 20:21:00</td>\n",
              "      <td>10.0</td>\n",
              "      <td>10.00</td>\n",
              "      <td>mg/dL</td>\n",
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              "      <th>3</th>\n",
              "      <td>6244566</td>\n",
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              "      <td>50902</td>\n",
              "      <td>2164-09-24 20:21:00</td>\n",
              "      <td>97</td>\n",
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              "      <td>50912</td>\n",
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              "      <td>7.00</td>\n",
              "      <td>mg/dL</td>\n",
              "      <td>abnormal</td>\n",
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              "      <th>76069</th>\n",
              "      <td>20452679</td>\n",
              "      <td>44228</td>\n",
              "      <td>103379.0</td>\n",
              "      <td>51250</td>\n",
              "      <td>2170-12-24 04:09:00</td>\n",
              "      <td>88</td>\n",
              "      <td>88.00</td>\n",
              "      <td>fL</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>76070</th>\n",
              "      <td>20452680</td>\n",
              "      <td>44228</td>\n",
              "      <td>103379.0</td>\n",
              "      <td>51265</td>\n",
              "      <td>2170-12-24 04:09:00</td>\n",
              "      <td>595</td>\n",
              "      <td>595.00</td>\n",
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              "      <td>103379.0</td>\n",
              "      <td>51277</td>\n",
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              "      <td>14.5</td>\n",
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              "      <td>2.76</td>\n",
              "      <td>2.76</td>\n",
              "      <td>m/uL</td>\n",
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              "      <th>76073</th>\n",
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              "      <td>44228</td>\n",
              "      <td>103379.0</td>\n",
              "      <td>51301</td>\n",
              "      <td>2170-12-24 04:09:00</td>\n",
              "      <td>16.9</td>\n",
              "      <td>16.90</td>\n",
              "      <td>K/uL</td>\n",
              "      <td>abnormal</td>\n",
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              "<p>76074 rows × 9 columns</p>\n",
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              "         row_id  subject_id   hadm_id  ...  valuenum valueuom      flag\n",
              "0       6244563       10006       NaN  ...     19.00    mEq/L       NaN\n",
              "1       6244564       10006       NaN  ...     27.00    mEq/L       NaN\n",
              "2       6244565       10006       NaN  ...     10.00    mg/dL       NaN\n",
              "3       6244566       10006       NaN  ...     97.00    mEq/L       NaN\n",
              "4       6244567       10006       NaN  ...      7.00    mg/dL  abnormal\n",
              "...         ...         ...       ...  ...       ...      ...       ...\n",
              "76069  20452679       44228  103379.0  ...     88.00       fL       NaN\n",
              "76070  20452680       44228  103379.0  ...    595.00     K/uL  abnormal\n",
              "76071  20452681       44228  103379.0  ...     14.50        %       NaN\n",
              "76072  20452682       44228  103379.0  ...      2.76     m/uL  abnormal\n",
              "76073  20452683       44228  103379.0  ...     16.90     K/uL  abnormal\n",
              "\n",
              "[76074 rows x 9 columns]"
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      "cell_type": "code",
      "metadata": {
        "id": "x8KoCWhlGmcv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 589
        },
        "outputId": "95cbf085-b8c6-42d5-9944-0c3032d70837"
      },
      "source": [
        "patients"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>row_id</th>\n",
              "      <th>subject_id</th>\n",
              "      <th>gender</th>\n",
              "      <th>dob</th>\n",
              "      <th>dod</th>\n",
              "      <th>dod_hosp</th>\n",
              "      <th>dod_ssn</th>\n",
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              "      <th>0</th>\n",
              "      <td>9467</td>\n",
              "      <td>10006</td>\n",
              "      <td>F</td>\n",
              "      <td>2094-03-05 00:00:00</td>\n",
              "      <td>2165-08-12 00:00:00</td>\n",
              "      <td>2165-08-12 00:00:00</td>\n",
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              "      <th>1</th>\n",
              "      <td>9472</td>\n",
              "      <td>10011</td>\n",
              "      <td>F</td>\n",
              "      <td>2090-06-05 00:00:00</td>\n",
              "      <td>2126-08-28 00:00:00</td>\n",
              "      <td>2126-08-28 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9474</td>\n",
              "      <td>10013</td>\n",
              "      <td>F</td>\n",
              "      <td>2038-09-03 00:00:00</td>\n",
              "      <td>2125-10-07 00:00:00</td>\n",
              "      <td>2125-10-07 00:00:00</td>\n",
              "      <td>2125-10-07 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9478</td>\n",
              "      <td>10017</td>\n",
              "      <td>F</td>\n",
              "      <td>2075-09-21 00:00:00</td>\n",
              "      <td>2152-09-12 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2152-09-12 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9479</td>\n",
              "      <td>10019</td>\n",
              "      <td>M</td>\n",
              "      <td>2114-06-20 00:00:00</td>\n",
              "      <td>2163-05-15 00:00:00</td>\n",
              "      <td>2163-05-15 00:00:00</td>\n",
              "      <td>2163-05-15 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
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              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95</th>\n",
              "      <td>31838</td>\n",
              "      <td>44083</td>\n",
              "      <td>M</td>\n",
              "      <td>2057-11-15 00:00:00</td>\n",
              "      <td>2114-02-20 00:00:00</td>\n",
              "      <td>2114-02-20 00:00:00</td>\n",
              "      <td>2114-02-20 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>31853</td>\n",
              "      <td>44154</td>\n",
              "      <td>M</td>\n",
              "      <td>1878-05-14 00:00:00</td>\n",
              "      <td>2178-05-15 00:00:00</td>\n",
              "      <td>2178-05-15 00:00:00</td>\n",
              "      <td>2178-05-15 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>31867</td>\n",
              "      <td>44212</td>\n",
              "      <td>F</td>\n",
              "      <td>2078-06-16 00:00:00</td>\n",
              "      <td>2124-01-29 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2124-01-29 00:00:00</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>31870</td>\n",
              "      <td>44222</td>\n",
              "      <td>M</td>\n",
              "      <td>2107-06-27 00:00:00</td>\n",
              "      <td>2182-08-03 00:00:00</td>\n",
              "      <td>2182-08-03 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>31872</td>\n",
              "      <td>44228</td>\n",
              "      <td>F</td>\n",
              "      <td>2112-10-22 00:00:00</td>\n",
              "      <td>2171-04-14 00:00:00</td>\n",
              "      <td>2171-04-14 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    row_id  subject_id  ...              dod_ssn expire_flag\n",
              "0     9467       10006  ...  2165-08-12 00:00:00           1\n",
              "1     9472       10011  ...                  NaN           1\n",
              "2     9474       10013  ...  2125-10-07 00:00:00           1\n",
              "3     9478       10017  ...  2152-09-12 00:00:00           1\n",
              "4     9479       10019  ...  2163-05-15 00:00:00           1\n",
              "..     ...         ...  ...                  ...         ...\n",
              "95   31838       44083  ...  2114-02-20 00:00:00           1\n",
              "96   31853       44154  ...  2178-05-15 00:00:00           1\n",
              "97   31867       44212  ...  2124-01-29 00:00:00           1\n",
              "98   31870       44222  ...                  NaN           1\n",
              "99   31872       44228  ...                  NaN           1\n",
              "\n",
              "[100 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XsZ8xXbi9jnr",
        "colab_type": "text"
      },
      "source": [
        "In the `labevents` dataframe, the `charttime` column represents date and time. Use `pd.to_datetime` to tell the computer this:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2LsQhj2i961O",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "labevents['charttime'] = pd.to_datetime(labevents['charttime'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DO0ZjP-mJQ3Q",
        "colab_type": "text"
      },
      "source": [
        "### Bar chart\n",
        "\n",
        "Let's start simply: Make a bar chart showing the `gender` data from `patients`. You should end up with two bars: one for `M` one for `F`. Which gender is more common in our dataset?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h8_VqVc_Gy_x",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "outputId": "c0fad3f6-34cd-4edc-8281-41fa0f5dc46d"
      },
      "source": [
        "p9.ggplot(patients) + p9.geom_bar(p9.aes(x=\"gender\"))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (8759821758461)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8xR9F9QOC7vV",
        "colab_type": "text"
      },
      "source": [
        "### Time series"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pM1eBvrf4iGU",
        "colab_type": "text"
      },
      "source": [
        "Select blood potassium concentration in mEq/L (`itemid == 50971`) for patient `40310`.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ExbTz4Xy3t04",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "f47c5468-c71a-4335-fc4f-5da2ec33eda0"
      },
      "source": [
        "potassium = labevents[labevents['itemid']==50971][labevents['subject_id']==40310]"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gKgVzxBzHcPj",
        "colab_type": "text"
      },
      "source": [
        "Make a line graph of the measurements (`valuenum`) vs date (`charttime`). Note that ggplot automatically handles timestamps; we do not need to do anything special for dates."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "civ5YdIp3pts",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "outputId": "fb6ffb7c-e0cb-4624-9669-87c242dc2ebf"
      },
      "source": [
        "p9.ggplot(potassium) + p9.geom_line(p9.aes(x=\"charttime\",y=\"valuenum\",group=\"subject_id\")) + p9.scale_x_datetime(date_breaks=\"1 month\",date_labels=\"%b '%y\")"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (8759817213665)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DVp7SZx0HrRJ",
        "colab_type": "text"
      },
      "source": [
        "Did you give your graph meaningful x- and y-axis labels? If not, redo it but with labels \"Date\" for the x-axis and \"[K] (mEq/L)\" for the y-axis (you'll want to use `p9.labs`)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F-ihnhBmH_6Q",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "outputId": "a7051eff-6b34-4e90-ef98-ff321764617f"
      },
      "source": [
        "p9.ggplot(potassium) + p9.geom_line(p9.aes(x=\"charttime\",y=\"valuenum\",group=\"subject_id\")) + p9.labs(x=\"Date\",y=\"[K] (mEq/L)\") + p9.scale_x_datetime(date_breaks=\"1 month\",date_labels=\"%b '%y\")"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223363277038830290)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AIUxz10QBd_K",
        "colab_type": "text"
      },
      "source": [
        "How do you interpret the graph between mid-November and late December? Are there any time periods that stand out as not being like the rest?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ykr3WXEcTm5Q",
        "colab_type": "text"
      },
      "source": [
        "**Something along the lines of being irregular, but differently irregular than July, October or January, as those show peaks rather than major periodicity changes (and therefore stand out as being not like the rest)**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_llJvfQ4T2W8",
        "colab_type": "text"
      },
      "source": [
        "### Box plot\n",
        "\n",
        "So far we've seen how one particular person's blood potassium concentration changed over time.\n",
        "\n",
        "Let's instead try to get a sense of the variability of blood sodium concentrations (`labevents['itemid'] == 50983`) within individuals but also how individuals compare. To do this, we'll use a boxplot (`geom_boxplot`). Specifically, make a boxplot that `group`s by `subject_id`, plots the concentrations (`valuenum`) along the y-axis, and positions the box across the x-axis beased on `subject_id`. To keep the graph readable, only include data for `subject_id < 20000`."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0w2Ktin8WLZF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "7861576f-c608-466a-e8dd-0cb5ae24148e"
      },
      "source": [
        "sodium = labevents[labevents['itemid']==50983][labevents['subject_id']<20000]\n",
        "sodium['subject_id'] = sodium['subject_id'].astype(str)"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yiLlPO67yRfK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 491
        },
        "outputId": "ad0ce383-2600-4443-80d2-bfab41bbc0b4"
      },
      "source": [
        "p9.ggplot(sodium) + p9.geom_boxplot(p9.aes(x=\"subject_id\",y=\"valuenum\",group=\"subject_id\")) + p9.theme(axis_text_x=p9.element_text(angle=90))"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223363277038614300)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QdiDuwZoDUm1",
        "colab_type": "text"
      },
      "source": [
        "Did you see any patients whose blood sodium levels seem unusual relative to the rest? (e.g. unusually high, unusually low, or unusually variable)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lOL70Ou_Dzo4",
        "colab_type": "text"
      },
      "source": [
        "- high mean: 10036, 10067\n",
        "- high variability: 10098, 100104\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UIHk7gc75Bwq",
        "colab_type": "text"
      },
      "source": [
        "### Scatter plot\n",
        "\n",
        "Let's load the population data from the Pima Indian diabetes dataset:\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "seBGusgv5F5Z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "diabetes = pd.read_csv('/content/gdrive/My Drive/[YCMI_CBDS Summer Course] Data/diabetes.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gG5brrsxKbzQ",
        "colab_type": "text"
      },
      "source": [
        "As always, start by looking at the data to get a sense of what it contains:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gb14w4zg1Bk0",
        "colab_type": "code",
        "outputId": "08ca3626-98d0-48ae-b0a6-ec321a9f22e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "diabetes"
      ],
      "execution_count": 48,
      "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>Pregnancies</th>\n",
              "      <th>Glucose</th>\n",
              "      <th>BloodPressure</th>\n",
              "      <th>SkinThickness</th>\n",
              "      <th>Insulin</th>\n",
              "      <th>BMI</th>\n",
              "      <th>DiabetesPedigreeFunction</th>\n",
              "      <th>Age</th>\n",
              "      <th>Outcome</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6</td>\n",
              "      <td>148</td>\n",
              "      <td>72</td>\n",
              "      <td>35</td>\n",
              "      <td>0</td>\n",
              "      <td>33.6</td>\n",
              "      <td>0.627</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>85</td>\n",
              "      <td>66</td>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>26.6</td>\n",
              "      <td>0.351</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>8</td>\n",
              "      <td>183</td>\n",
              "      <td>64</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>23.3</td>\n",
              "      <td>0.672</td>\n",
              "      <td>32</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>89</td>\n",
              "      <td>66</td>\n",
              "      <td>23</td>\n",
              "      <td>94</td>\n",
              "      <td>28.1</td>\n",
              "      <td>0.167</td>\n",
              "      <td>21</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>137</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>168</td>\n",
              "      <td>43.1</td>\n",
              "      <td>2.288</td>\n",
              "      <td>33</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>763</th>\n",
              "      <td>10</td>\n",
              "      <td>101</td>\n",
              "      <td>76</td>\n",
              "      <td>48</td>\n",
              "      <td>180</td>\n",
              "      <td>32.9</td>\n",
              "      <td>0.171</td>\n",
              "      <td>63</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>764</th>\n",
              "      <td>2</td>\n",
              "      <td>122</td>\n",
              "      <td>70</td>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>36.8</td>\n",
              "      <td>0.340</td>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>765</th>\n",
              "      <td>5</td>\n",
              "      <td>121</td>\n",
              "      <td>72</td>\n",
              "      <td>23</td>\n",
              "      <td>112</td>\n",
              "      <td>26.2</td>\n",
              "      <td>0.245</td>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>766</th>\n",
              "      <td>1</td>\n",
              "      <td>126</td>\n",
              "      <td>60</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>30.1</td>\n",
              "      <td>0.349</td>\n",
              "      <td>47</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>767</th>\n",
              "      <td>1</td>\n",
              "      <td>93</td>\n",
              "      <td>70</td>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>30.4</td>\n",
              "      <td>0.315</td>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>768 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     Pregnancies  Glucose  ...  Age  Outcome\n",
              "0              6      148  ...   50        1\n",
              "1              1       85  ...   31        0\n",
              "2              8      183  ...   32        1\n",
              "3              1       89  ...   21        0\n",
              "4              0      137  ...   33        1\n",
              "..           ...      ...  ...  ...      ...\n",
              "763           10      101  ...   63        0\n",
              "764            2      122  ...   27        0\n",
              "765            5      121  ...   30        0\n",
              "766            1      126  ...   47        1\n",
              "767            1       93  ...   23        0\n",
              "\n",
              "[768 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GQNgYq4_1FrV",
        "colab_type": "text"
      },
      "source": [
        "Make a scatter plot showing the relationship of `Glucose` and `Insulin` in the `diabetes` data.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i0i3xGvi1GQR",
        "colab_type": "code",
        "outputId": "10b8c8ee-31ac-4291-96d7-6db1600ead87",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "p9.ggplot(diabetes,p9.aes(x=\"Glucose\",y=\"Insulin\")) + p9.geom_point()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (8759816015571)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M03XtPMdnxYj",
        "colab_type": "text"
      },
      "source": [
        "You can see that there are a lot of times where insulin has a zero value. Let's filter those out and continue."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k6v_q6sanwhJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "diabetes_insulin = diabetes[diabetes['Insulin']!=0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "73tCY6iF5GYN",
        "colab_type": "text"
      },
      "source": [
        "There are so many points, it's hard to see where the most likely values are in the basic scatter plot. To get a better sense, add a `p9.geom_density_2d` to overlay a contour map of the point density. Specify a `color` so that it stands out:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5fp2Riz15Jy3",
        "colab_type": "code",
        "outputId": "b9c0fb09-57f0-4f55-fe96-c8d881a7fc78",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "p9.ggplot(diabetes_insulin,p9.aes(x=\"Glucose\",y=\"Insulin\")) + p9.geom_point() + p9.geom_density_2d(color='red')"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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oCF5eXggICEBUVJTcJVULlWLMDRERkdJcv34dAwYMQEFBAYB7U59MnDgR7u7uFje5kPWx54aIiMgG9uzZA4PBAJPJZLF9y5YtMlVUfTDcEBER2YDRaCx2mpN/hh2yPoYbIiIiG+jatSuKu2end+/eMlRTvTDcEBER2UCjRo2wadMmuLq6AgA0Gg0WLFiAXr16yVyZ8nFAMRERkY107doVV69eRVpaGtzc3CCKotwlVQsMN0RERDakUqkeO7ksWRcvSxEREZGiMNwQERGRojDcEBERkaIw3BAREZGiMNwQERGRovBuKSIiqvIyMzNx7tw5aLVaBAYGws7OTu6SSEYMN0REVKWdPn0agwcPRnZ2NgAgICAAP/zwAzw8PGSurHowmUzYtm0b4uPjUb9+ffTr1w8ajbzxguGGiIiqLJ1Oh5deeglZWVnmbfHx8ZgyZQq+++47GSurHkwmE0aNGoU9e/ZAo9HAaDRiw4YNiIqKglarla0ujrkhIqIqKzk5GX///bfFNoPBgBMnTshUUfXy448/Yu/evTAajSgsLITBYMDp06exYcMGWetiuCEioirrYWNrDAZDBVdSPV29ehUqlWWUMBqN+Ouvv2Sq6B6GGyIiqrIKCwuL3S4IQgVXUj15e3sXWflco9HAy8tLporuYbghIqIqy8nJqdjt91fiJtt68cUXERAQYB5fo9Vq4enpiTFjxshaFwcUExFRleXh4YF+/fphx44d0Ov1AO4tVPn666/LXFn14ODggB07dmDVqlXmu6UmTpwIFxcXWetiuCEioiptxYoV+Oijj7Bjxw7Y2dlh7NixGDFihNxlVRuOjo6YNm2a3GVYYLghIqIqTavVYvbs2Zg9e7bcpVAlwTE3REREpCgMN0RERKQoDDdERESkKAw3REREpCgMN0RERFWIJElITU1FcnIyjEaj3OVUSgw3REREVcTdu3cxaNAgtGzZEm3atEHHjh2RkJAgd1mVDsMNERFRFfHmm2/i6NGj5seJiYkYMmQIe3D+geGGiIioiti7d695Jmbg3iKV8fHxSElJkbGqyofhhoiIqIrQaIqfe/f+2k50D8MNERFRFREREWERcERRROfOneHp6SljVZUPl18gIiJFyMzMhCiKcHR0lLsUm3nnnXcgSRI2bNgAnU6H0NBQLFmyBIIgyF1apcKeGyIiqtKuX7+O7t27IyAgAH5+fnjllVeQn58vd1k2UVhYiISEBGRlZSE/Px8JCQnIycmRu6xKR5AkSZK7iIqWnZ0NOzs7qx9XEARotVrodDoo+ceq0WhgMBjkLsNm2I7KwHZUhse1o9FoRFBQEGJjY80/B61Wi+HDh2PFihUVXW6ZlKYNx48fj2+++QY6nc782qZNm+LkyZNQqSpnf4U1P4sl/e6uluEmLS3NJsdVq9Vwc3NDRkaGom/Lc3Z2xt27d+Uuw2bYjsrAdlSGx7VjUlISgoKCimx3cXFBXFxcRZRYbqVpw4YNGxa7b0xMDOrXr2/t0qzCmp9Fd3f3Eu3HMTdERFTlmEwm5OXlPbS3orL2YpTXw8bWKPX9lhV/GkREVKWsXr0a9evXh7+/P55//nk0adIEoiianxdFEUOGDJGxQtsZMmRIkfcaFBQEb29vGauqfBhuiIio1CRJQkFBwUOfKywstMl5f/zxR8yaNcs85uTmzZu4ceMG2rZtC5VKBa1WixEjRmDWrFk2Ob/cPvzwQ7z00ksQRREqlQodO3bE119/zbul/qFcl6X+/PNPREVFISUlpcgvuSAIiIyMLFdxRERU+fzyyy948803kZWVhTp16mDlypXo0qULJEnC8uXL8fHHH6OgoACNGzfG+vXr0axZM6ude8uWLTCZTObHJpMJhYWFiIiIwE8//QSVSlWlv+h1Oh3+/PNPAEDTpk2LTM6n1WrxySefYNGiRTCZTFCr1XKUWemVOdx89dVXGD16NOzt7dGgQYMiDVCVf7mIiKh4J06cwNixY80B486dOxg6dCgOHjyIkydPYt68eebnEhIS8MILL+D48eNwdXW1WU33v2+q+hd9UlISBg4ciMTERAD3Bg9v2bKl2IHCgiBU+fdrS2UON/PmzcPAgQOxbt061KhRw5o1ERFRJbV161aoVCqL3hOVSoWdO3di7969FtuNRiMyMjJw4sQJhIaGWuX8AwcOtDiPSqWCnZ0dOnXqZJXj29LOnTuxf/9+aLVaDB48GC1btrR4ftSoURZrRF27dg2jR4/G3r17K7rUKq/M4ebGjRtYuXIlgw0RUTViMpmKnavEZDJZBJv7BEEodntZvfDCC7h16xbmzZsHnU4HT09PbNiwAR4eHlY7hy188cUXWLBgAYB7gSwyMhLff/+9OZTl5ubi4sWLFq8xGAw4e/YsCgoKYG9vX+E1V2VlHlAcEhKCCxcuWLMWIiKq5Hr37l0krBgMBoSGhiI8PNziUolKpYKTkxOCg4OtWsOECROQnJyMhIQEnD17FoGBgVY9vrVlZmZi/vz55gBoMBhgNBrx9ttvm/fRarXF3s6t0Wgs7o6ikilzuPnoo4+wZs0arF69GvHx8UhPTy/yh4iIlKVjx45YtmwZHBwcANybgO7LL79EixYtEBERgTfeeMMccLy8vBAVFYVatWpZvY77wakqSE1NLdLbJUkSbt68aX4siiJGjRplEWQ0Gg1Gjx7NsTVlUOYZih9MmA8bPFxZZwXlDMXlU91nRFUKtqMyyNWOJpMJWVlZqFmzZpHvAL1ej9zcXLi6upb75hIltGNOTg6aNGkCvV5v3iYIAlq0aIGDBw+a29BgMGDRokX4/vvvAQCDBw/GW2+9ZbEKeFVUpWYoXrduHe+IIiKqplQqFdzc3Ip9ThRF1KxZs4IrqrwcHR1Rv359xMfHm7dJkoQnn3zSYj+NRoP33nsP7733XkWXqDhlDjcRERFWLIOIiEiZkpOTLYLNfTt37pShmuqBMxQTERHZ0IOXox6k5NXc5VaqnptWrVph8+bNeOKJJ9CyZctHXpYSBAFnz54td4FERERVWYMGDeDv749r166Zx5yIooiePXvKXJlylSrctG3bFo6Ojub/55gbIiKiR9NoNPjvf/+LoUOHIi4uDgDQrVs3fPzxxzJXplylCjfr1683//+GDRusXQsREZEi+fv74+jRo0hNTYWdnR1q164td0mKVrXvLyMiIqoiVCoVvL295S6jWihVuJk6dWqJ9xUEAZ9//nmpCyIiIiIqj1KFm61bt5Z4X4YbIiIikkOpwk1CQoKt6iAiIrKamJgYvPvuu0hOTkZAQAAWL16Mxo0by10WVRCOuSEiIkW5evUqnn/+eRgMBphMJqSnp6Nnz544fPgwPD095S6PKkCZw82XX3752H1GjhxZ1sMTERGVyaZNm8wrcAP31jnMz8/Hzz//jPHjx8tcHVUEqy+/8ODcNww3RERU0fLy8szB5j5BEJCbmytTRVTRyrz8QkZGRpE/8fHxWLFiBVq0aIEzZ85Ys04iIqIS6dixY5FtOp2u2O2kTGXuuXF1dS122/jx41FQUIDp06cjOjq6XMURERGVVr9+/XDx4kV89tlnAO7NL7NgwQI8/fTTMldGFcUmA4r/7//+D++//74tDk1ERPRIgiDg/fffR0REBG7cuIEGDRqgbt26cpdFFcjq4SYvLw9r1qyBj4+PtQ9NRERUYj4+PvwuqqbKHG6KWxVcp9MhJSUF+fn5JbqbioiIiMjayhxuilsV3N7eHvXq1cOAAQPQvHnzchdHREREVFplDjdcFZyIqGo5dOgQPvvsM2RmZqJz585455134ODgIHdZRFZn1TE3iYmJ+Ouvv9CmTRvUqlXLmocmIqJyOHjwIAYPHgxJkiBJEq5cuYLz589jy5YtUKnKPCsIUaVU5t/oadOm4fXXXzc//vHHH9G0aVOEhoYiICAAp0+ftkqBRERUfp988glMJhMkSQIA6PV6/Pbbbzh79qzMlRFZX5nDzY8//oigoCDz4/feew+9evXCuXPnEBwcjJkzZ1qlQCIiKr/09PQi21QqFTIyMmSohsi2ynxZ6ubNm/D19QUAxMXF4c8//8TXX3+NJ554AlOmTMGoUaNKfczs7GxMnDgRXl5e+PTTTwEASUlJWLp0KRITE+Hh4YFx48ahdevW5tccOXIEGzduRHp6Opo1a4apU6dyPgMion9o164dkpKSoNfrzdvUajVatGghY1VEtlHmnhtXV1fcvn0bALBnzx7UqlULbdu2BQDY2dkhPz+/1Mdcv3496tevb35sMBgwb948BAcH45tvvsGQIUPwr3/9C5mZmQCA5ORkfP7555g4cSI2bdoEPz8/LFq0qKxviYioUktPT8eKFSswf/58bN++3XyJqSTmzJmDFi1aQBAEaDQaiKKIlStXcpVsUqQy99yEhIRg1qxZuHXrFj799FP079/f/Nyff/5p7tUpqQsXLuDGjRt49tlnsXPnTgDA+fPnUVhYiIEDB0KlUqFz587YunUrjhw5gt69e+PgwYNo06YNAgMDAQDDhg3DiBEjcO3atVKfn4ioMktNTUWPHj3M/7gzGo2IiIjA8uXLS/R6FxcXREdH48SJE8jOzkarVq1Qr149W5ZMJJsy99z8+9//hqenJ9555x34+vpiwYIF5ue++uordO7cucTH0uv1WL16NSZMmGAxd861a9fg5+dnMZK/YcOGSEpKAnDvkpW/v7/5uRo1asDT09P8PBGRUsybNw/p6enQ6XTQ6XQwGo2IjIws1c0boiiiU6dO6NWrF4MNKVqZe258fHywf//+Yp/btWsX7O3tS3ysqKgotG7dGv7+/oiPjzdvz8/Ph6Ojo8W+jo6O5sthBQUFxT7/z0tiaWlpSEtLMz9WqVSoU6dOiesrKbVabfFfpRIEQdHvke2oDEprx9jYWBgMBottWq0W8fHxip40VWntWBx+Fq3PJgtnuri4lHjfGzduYN++ffj888+LPOfg4IDc3FyLbbm5ueZJp+zt7ZGXl2fxfF5eXpFJqaKiorBmzRrz44iICEyePLnENZZWad5/VaXVauUuwebYjsqglHZs0aIFzp8/bxFw9Ho9GjduDDc3NxkrqxhKaceHqYjP4oEDB3D06FG4urpiyJAhcHd3t/k5H1SRbVjmcGMymbB27Vps2bIFKSkpKCgoKLLPg70wD3P58mVkZGRgwoQJAGDuch05ciQmTZqEpKQkmEwm86WphIQEhISEAAAaNGhQpKcnNTUVDRo0sDhHeHg4unTpYn5sq9sf1Wo1XFxckJ2dDaPRaPXjVxaOjo5FQqeSsB2VQWntOGPGDERHRyMnJ8c8X82QIUMQGBio6Nu5ldaOxamIz+KSJUuwYMECaLVaSJKEefPmYe/evRVyedKabVjSIF/mcDNjxgwsXrwYXbp0Qbdu3cqcOjt16oQ2bdqYH//22284cOAAZs2aBWdnZ2i1Wvzwww/o168fTpw4gaSkJHTs2BEA0LVrV0ybNg1nzpxBixYtsHnzZvj5+RUZTOzu7m6RUNPS0mz6ITEajYr9EAKAJEmKfn/3sR2VQSnt6OXlhUOHDuGrr75Ceno6AgMDMXDgQABQxPt7nPK04+HDhxETEwM3Nzf0798fzs7OVq6ufGz9WYyPj8eCBQsgSRIKCwsB3Lvz7t13363QpZQq8rNY5nCzadMmzJkzBx988EG5CrCzs4OdnZ35saOjI9RqtTmdzZw5E8uWLcO3336LunXr4t1330XNmjUBAPXr18fUqVOxfPlyZGRkoGnTppg+fXq56iEiqqw8PDzw1ltvyV1GlfLxxx9j8eLF0Gq1MJlMWLJkCXbv3m2TcZeVVXx8PFQqlUWwMBgMuHLlioxV2VaZw01BQQE6dOhgzVoAAD169ECPHj3Mj/38/MwT+hWnU6dO6NSpk9XrICKiqu3y5cvm74/7PRa3bt3CnDlzsGzZMjlLq1D16tUr0mOiVqsVPWVKmW8Ff+mll7B161Zr1kJERGQ1sbGxEEXRYpter8elS5dkqkgezZo1w6hRo6BWq6FSqSCKIrRaLebMmSN3aTZT5p6bdu3aYebMmbh16xaeffZZ86WiBw0YMKBcxREREZWVt7d3kdvnld5j8TCffPIJgoKC8Pvvv8PFxQUjRzaqnekAACAASURBVI5Ew4YN5S7LZgSpNPN3P+DBifWKPbAgVNpBbg/OeWNN98cKZWRkVNr3bg3Ozs64e/eu3GXYDNtRGdiOylCedpQkCePGjcO2bdtgNBqhVqthZ2eHvXv3onHjxjaquPQqcxump6dj9erVuH79OgICAjB+/PhSzWMHWPezWNLb18vcc5OQkFDWlxIREdmcIAhYtWoVvvzyS/PdUi+//DL8/PzkLq1KSE9PR/fu3XH79m3o9XqIoojt27dj27ZtlX6OrDKHm3/OJUNERFVXTEwMoqKioNfr0bNnT3Tv3l3ukqxCrVZj9OjRGD16tNylVDn/+c9/cOfOHfNK8nq9HhcuXMCPP/6IwYMHy1zdo5Uq3Dg7O1us/fQogiAgKyurTEUREVHF2b17N0aMGAGVSgVJkrBhwwZ8/PHHDATV3PXr16HT6Sy2qVQq3LhxQ6aKSq5U4WbatGklDjdERFQ1TJs2DSaTCSaTybztvffew9ChQ0s9voKUo0mTJhBF0dxzA9ybHycgIEDGqkqmVOFm9uzZNiqDiIjkIEmSeTHiBxkMBqSlpXH18Gps7Nix2LZtG86fPw+VSgWDwYA+ffqgd+/ecpf2WDZZOJOIiKoGQRDg6+uLpKQkPHjzrIODA+rWrWuTc2ZlZWHjxo1ITU1Fs2bNMGzYMGg0/DqqbOzt7bF161b89NNPuHHjBgICAtCrV68qcQWHv01ERNXc8uXLER4ebg43BoMBy5Yts8kdMZmZmejRowdSU1NhNBqhUqmwY8cObN68+bFTjFDF02q1ePHFF+Uuo9QYboiIqrng4GAcOnQIO3bsgMFgQPfu3dGyZUubnGvp0qW4efOmeRyH0WjEwYMHER0dXSUud1DVwHBDRETw9/fHq6++avPzJCQkWAxQBQBRFJGcnGzzc1P1wT5AIiKqMI0aNSp2vSdOrEfWxHBDREQVZsqUKfD19YVWq4UoitBoNHjuuecQGhoqd2mkILwsRUREFcbFxQV79+7F5s2bzXdLDRw4kIOJyaoYboiIqEI5OTlh3Lhxj93vypUrSE5ORqtWreDt7V0BlZFSMCoTEVGlIkkSZs+ejc6dO2PkyJF44okn8MEHH1jMw0P0KAw3RERUqURHR2PlypUA7s25AwArV67E9u3b5SyLqhCGGyIiBUhNTcXatWuxfPlynD17Vu5yyuXkyZNQq9UW29RqNU6dOiVTRVTVcMwNEVEVd/nyZfTp0wcFBQUQBAF6vR7Lli3DoEGD5C6tTFxcXIpM8S8IAlxcXGSqiKoa9twQEVVxU6dORW5uLnQ6HQoLC2EymfDaa6/h7t27stUkSRJ2796N5cuX46effjJfXiqJoUOHokaNGub1pjQaDWrUqIFhw4bZqlxSGPbcEBFVcX/99ReMRqPFNr1ej+TkZLRo0aLC65EkCRMmTMDPP/8MURRhMBgQGRmJqKioEq1X5enpiT179mDWrFmIi4tDs2bN8OGHH8LT07PUtRiNRqxbtw6nT59GrVq18Morr6Bhw4ZleVtUhTDcEFG1dv36dezfvx8mkwldu3ZFgwYN5C6p1Dw9PREXF2dxN5EgCPj4449x8eJFuLu7Y+bMmejUqZPVz3369GnExMTAzc0NYWFhcHR0xPbt2/Hzzz/DaDSaQ9fp06cRGRmJiRMnlui4fn5++PLLL6FWq+Hm5oaMjIwiAe5xJEnC2LFjER0dDYPBAI1Gg02bNmHPnj1o0qRJqd+r0uTn5yM6OhppaWlo1aoV2rVrJ3dJVsNwQ0TV1qlTpxAeHg6DwQBBECAIAr755hubhABbWrhwIQYPHgwAMJlMEAQBrq6u2LNnD/R6Pa5du4bw8HD88ssvePrpp6123mXLlmHu3Lmws7OD0WhEvXr1EB0djT///BMajcYijBgMBly5csVq5y6JU6dOYdu2bRarnUuShAULFmDjxo0VWktlk52djd69e+Ovv/6CRqNBYWEhpk2bhhkzZshdmlVwzA0RVVtjx45FQUGBeaxKYWEhxowZU+XmU+nSpQt27tyJUaNGYejQoZg0aRKys7PNC1RKkgRJksy3V1tDbGws5s6dC0mSUFBQAL1ej5SUFMyZMweenp4wmUwW+4uiCC8vL6udvyRSU1PN43buMxqNVlukMy4uDkOHDkVwcDCGDRuG+Ph4qxy3IixatAhxcXEwGAwoKCiAJElYvHhxlb/T7j723BBRtVRYWIiUlBSLbZIkIT09HRkZGahVq5ZMlZXNk08+iSeffBIA8P3330OtVlv0nEiShMzMTKud7+rVq9BoNBYrfOv1epw7dw6LFi3CmjVrEBsbC51OB1EUUbt27UfOSnzw4EFER0dDrVZjwIABCAoKKneNAQEBxa5A/sQTT5T72Ddu3EBoaCjy8vJgMBiQnJyM0NBQ/PbbbxUe4sri3LlzRX42Wq0WV65cQevWrWWqynrYc0NE1ZJWq4WTk1OR7aIowtXVVYaKrKdNmzZFxqeIooiQkBCrncPDw6PIHVBqtRo+Pj6wt7fH9u3b8cYbb6B///6YMGECDhw48NDA+OWXX+LFF1/Exo0bsX79evTu3RvR0dHlrrFZs2Z45513IAgC7O3tzb1Hs2bNKvexv/nmGxQUFJh/BgaDAfn5+fj222/LfeyK4OPjU2QuIb1eDw8PD5kqsi723BBRtSQIAj766CO89tprAO71bKhUKsydO7fIX/pVTaNGjbB8+XJMnjwZRqMRkiQhNDQUU6ZMsdo52rZti7CwMPO4HrVaDVEU8f777wMAHB0d8dZbbz32ODqdDu+88w4kSbIIZNOmTUNYWFi565w2bRo6dOiAP/74AzVr1kTfvn2LDbWldffu3WIvX8p5+31pvPXWW4iOjkZhYSEMBgNEUUSHDh2sGoDlxHBDRNXW0KFDUadOHfzwww8wGo3o168fevXqJXdZVhEeHo6OHTsiNjYWtWvXRvPmzYtMjFcegiAgMjISa9euxe+//45atWph3LhxFnchnTp1CrGxsahXrx46depU7PnT09OLXB4BgLS0NJhMJqsEzfbt26N9+/blPs6DgoODi4xhMhgMCA4Otup5bKVRo0Y4cOAAVq1ahdu3byMwMBATJkxQzOrsglTVRs5ZQVpamk2OW55bFqsSZ2fnKvOvk7JgOyoD21E+kiTh/fffx9q1a6HVaqHX6/Hcc89h/fr1RcKKwWBAo0aNkJeXZ94mCALq1auHmJiYSt2Oc+bMwbJly8zjm1577TXMnDmz1MepjG1oTdZsQ3d39xLtp4yIRkRElcbevXsRGRkJSZLMMybv3bu32NuvNRoNVqxYAbVaDTs7O9jZ2UGr1WL58uUyVF46H374IY4dO4ZNmzbh2LFjZQo2ZBu8LEVERFZ17tw5iKKIwsJC8zaDwYBz584Vu3/v3r2xd+9e7N+/H2q1GmFhYVVmFuHGjRujcePGcpfxWKmpqZg0aRJOnToFR0dHTJs2DWPGjLHqpcrKhOGGiIisyt3dvcg8NxqN5pGXFJ544gmr3KJdVcXHx+P8+fOoVasW2rdvX2R+nvIoKChA//79kZSUZL6r6/3331f0el28LEVERFYVHh4OHx8fiKII4F6wcXR0xJgxY2SurHLasGED2rdvj4kTJ2LgwIHo27cvcnNzrXb8P/74A/Hx8Ra37ptMJkRGRlrtHJUNww0REVmVk5MTdu/ejZEjR6JDhw4YNGgQDhw4UCUmt6to8fHxmDRpEkwmE/R6PUwmE86cOYOFCxda7Rx6vb7Yy086nc5q56hseFmKiIiszs3N7bFf0JIkITo6GufOnYO7uzsGDx4MZ2fnCqqwcrhw4QI0Go1F0NDr9Thx4sRDX5OYmIhffvkFer0eXbt2Rdu2bR95jtatW8PZ2RnZ2dnmuXlEUVTMtAfFqZa3gmdnZ8POzs7qxxUEAVqtFjqdrsqtTVMaGo2myMykSsJ2VAa2Y+lER0dj48aN0Ov16N+/P4YPH27zwaZTpkzBunXroNFoIEkSvLy8cOTIEYuxOUpvxwMHDqB3794WY5RUKhWee+45/Pjjj0X2P3nyJJ577jnzLdV6vR7/+c9/MHz48Eee5+TJkxgwYADu3LkDAHjppZewatUq86VDW7JmG5b0u7tahhvOc1M+nJNBGdiOymCNdvzuu+8wefJk8xePWq3GtGnT8Pbbb1ujxGKdOHECzz//vMWXnSiKGDFiBD7++GPzNqW3o8FgwAsvvIDTp09Dr9dDpVJBEARs27at2PW1OnXqhNjYWIswJIoiYmNj4ejo+Mhz3V/c1MXFBbVr17b6e3kYznNDRKQAcXFx2LdvH2JjY+UupURmzZplETKMRiM+/fRTi4n1yiM9PR2//vorfv/9d/NsxHFxcdBqtRb76fV6/Pnnn1Y5Z1Wh0Wiwfft2jBkzBoGBgejRo8dDgw1w75LUP+9E0+v1SE1Nfey5RFGEv79/hQYbuXDMDRGRFS1cuBCLFy+GSqWCyWTCpEmTMHv27Eo7n4gkScjIyCiy3WQyISMjAzVq1CjX8Y8cOYKXXnoJ+fn5MJlMaNmyJbZs2YL69esXWXZBo9HAz8+vxMe+du0apk2bhkuXLsHT0xNz585Fx44dy1WvHBwdHTFv3rwS7evt7Y3ExESLMKpSqRSz4KW1sOeGiMhK9uzZg3//+98AYP7X9apVq7B161Y5y3okQRDQtGnTIssiuLq6lvsLMycnByNGjEBubq7553HlyhW8/fbb6NSpE3r37g2NRmNedNPV1RUzZswo0bEzMjIQFhaGw4cP4/bt2zh//jwGDhyIM2fOlKvmym7x4sXmn5darYYgCJg3b55VFgMtLZPJhPPnz+Pw4cM2G+5RVuy5ISJ6iAsXLuDIkSNwcHBAWFgY6tSp88j9f//99yJ3vqhUKpw4cQJ9+/a1dblltnr1avPcKoIgQBAErF+/vtwTycXFxRUZD6TX63Hs2DEIgoA1a9Zg8+bNOH/+PGrXro2IiIgSB6ro6GhkZmaaB1NLkgSTyYSNGzfiySefLFfdlVnnzp2xe/duREVFobCwED169MAzzzxjsU9BQYE5ANlKQUEBRo4ciQMHDpgHDK9duxY9e/a02TlLg+GGiKgY33//PSZPngxRFCFJEubPn48dO3Y8cqp9FxeXIttUKlWx263NYDDg0qVLKCwsRPPmzUv1L/nmzZvj2LFjOHjwIAwGAzp27Ij69euXu6aH3dZ9f7tarcaIESPKdOy8vLwiK1ibTCZFD5K/r2XLlmjZsmWR7WlpaRg7diwOHz4MQRDQv39/fPbZZ+W+tFichQsX4vDhwwBgXkNszJgxOHXqVKWYz4iXpYiI/iErKwuvvfYaTCYTCgsLodPpkJ2djddee+2Rrxs0aBBq1Khh7vFQq9XQarV46aWXbFpveno6evbsiR49eqBXr15o27Ytzp49W6pjuLu7Y+DAgRgyZIhVgg0A+Pv7IzQ01KIHQaVSYdq0aWU+ptFohF6vR7t27YpMQqdWq9GlS5cyH7sqkyQJI0eONM+PI0kStm3bhunTp9vkfAcPHiwyZspoNOLNN9/EU089hW7duhV7K3tFYbghIvqHxMTEYv/iftydPJ6enti9eze6desGf39/dOnSBbt370a9evVsWS7eeOMNXLp0yfw4MzMTQ4YMwa1bt3Dq1CkkJCTY9PwPIwgCIiMjMWbMGDRu3BitW7fGqlWr8OKLL5b4GJIkYf369Zg4cSI6dOgAb29v+Pj4YN68efjoo48sLp1FREQ8dr4Xpfr7779x8uRJi99bvV6Pn376ySbzAxXXG2k0GnHw4EEkJibiwoULmDBhAqKioqx+7pLgPDdWpPT5GO7j/CjKwHZ8uFu3bhVZxFEQBAQEBODIkSPWLLPcnJ2dUbduXWRnZxd5ThRF85fdoEGDsHTp0iIDhyu76dOn46uvvioyUaEoiggODsbatWuRkJAADw8P+Pr6ylRl+Vjjs5iWlobmzZsX2W5nZ4fk5GSr3623b98+DBs2zDxQ/GGTSTZt2hTHjh3jPDdERNZSWFiIixcvFpn07HE8PDwwdepU890oKpUKKpXKquv9WNPDxlQ8+K/4H3/8EStXrqyokqzi6tWrWL9+fbFfmnq9HkeOHIFarcZTTz1VJYJNQUEBLly4gL/++qtUv48lUbt2bTz11FMWlwBFUUT//v1tMg1Bjx498NVXX6F169Zo0KABQkJCit1Prn9AMdwQkSJdvXoVAQEB6Ny5Mzp06IDnnnsOf//9d4lfP3PmTCxduhTh4eEYPnw4oqOj0blzZxtWXHb3g9h990PZgwwGA/bt21fRpZXLjRs3HvvFbO2QYCuXLl1CUFAQunXrhvbt26NPnz7IzMy02vEFQcCXX36J4OBg8+M+ffpg0aJFVjvHP4WGhmLv3r04deoU1qxZU2QQuyiKss07xMtSVsTLGcrAdqz6jEYjgoODcf36dXMbiqKIrl27YvPmzTJXZ133F0TcuHEjVq9ejcLCQjRp0gQHDx60+P0VBAHPPfccvvrqKxmrLZ1r164hKCio2DEjoiiidevW2LFjR6WdIPE+vV6Ptm3b4tatW+YwJooievbsiXXr1ln9s5ifn28ezF6RDh8+jOHDhyMvLw+SJKFt27b47rvv4ObmVuGXpRhurIhfisrAdpSHyWTCb7/9hps3byIgIOCxKx0/SkpKCgIDA4tst7OzQ0pKSnnKrHSKa8fc3FyEhITg5s2b5ktTKpUKW7ZsqbS9Tw+zatUqzJo1q8jCi08//TTWr1//2LmHKoO4uDi0a9euyHYXFxfExcVVus9ieWRkZODSpUtwdHREy5YtoVarZVlbivPcEJHsDAYDRo4ciX379kEUReh0OkycOBFz5swp0/Hs7e1LtV1pHB0dsX37drz55ps4c+YM3N3dMXPmzCoXbADg1VdfRdeuXbF37144OTkhNDQULi4uFTojb35+PpKTk1G7du0yrctUnX4f3dzcKsUSGAw3RCS7yMhIHDx40DyvDHDvX+xdu3ZFt27dSn08d3d39OnTB7t37zbPhaLRaDB+/Hir1l2ZeXp6KuYSXKdOnfB///d/svSk7t27F6+88gpyc3MBAOPHj8e8efNKdSnM29sb3bt3x2+//WbuSVOr1ZgwYYJNaiYOKCaiSuDs2bNF5pXRarU4f/58mY+5evVqvPzyy6hbty68vb0xY8aMck0eV51kZWUhPj7eHDSrq6SkJIwaNcocbABg7dq12LBhQ6mOIwgC1q1bhxdffBF16tSBj48PZs2ahcmTJ1u5YrqPPTdEJLs6depYzMkC3BsUXJZLAPc5ODhg5cqV+OijjxQ9dsqa7i8zsXTpUkiSBCcnJ0RGRqJ79+5ylyaL48ePF9lmNBqxa9cujB49ulTHcnR0xGeffWat0iqF06dP4/PPP0d6ejrat2+PadOmVZpLbey5ISLZjRs3zmLZAlEU4evri/79+8tcWfXy9ddfY/ny5eZBuzk5ORg5ciSuXbsmc2XlYzAYkJKSUupBu3Z2dsXeqVVZvsDl9Pvvv6NPnz7YtWsXTpw4geXLl1tM6ic3hhsikp2Pjw/279+PgQMHokOHDoiIiMDOnTvh6Ogod2nVSnR0dJFeLkmScPToUZkqKr+TJ0/iiSeeQGBgIBo2bIj33nuvxF/A3bp1g5ubm8USD4IgYNSoUbYqt8pYtGgRTCaT+Wep1+tx+PBhnDp1SubK7uFlKSKqFHx9fbF06VK5y6h8DAYIqanISUoC8vLgKopQFRQA+fkQ8vKgkiTY5+QADg6QHBwg2dtDsrf//4+dnGDy8YH0kBW6H2RnZ1dkmyRJFT5firWkpaVh8ODByMnJMW9bv3496tWrh0mTJj329a6urti2bRsmT56MCxcuoFatWpg9e3aJB7nn5+cjMzMTdevWrXLLXjzOnTt3ioREtVqN9PR0mSqyxHBDRCQnoxHqhASoL1+G+to1qG7cuPfn5k2orl+H6vZtCCYT7o8+KhAEiC4ugKMjJAcHqJycYAdAKCi49ycvDygogJCfD+GBZQtMrq4w1asHY716MNWrB1P9+jD6+sLQqhVMvr6AIGD48OHYvn27+VKMWq2Gq6trme5YqwxOnTqF/Px8i0tLBoMBv/zyS4nCDXBvZfPt27eX6rySJOGTTz7B4sWLYTKZUKtWLWzYsAHt27cv1XEqs6CgIMTGxlqMkzOZTMWubyUHhhsiogoi3LkDzcWLUF++DM3Fi9Bcvgz11asQCgpgcnOD0d8fJi8vmHx8YAgKgtHbGzNXrkT0+fO4aTAgH4Bao0FQixb45ZdfAABOTk5ITk6GnZ1d0TWm9HoId+9Cdf061CkpUCUn3/tvSgo0MTFQJyZClZEBU+3aMAQGok/bttg+ZQqm/fe/iM/MRPPmzbFy5Uq4ubnZ9OdSWFiIuXPn4ueff4Zarcbw4cPx5ptvlru3Q6PRPHR2Y1vatGkTlixZYu7ZyMjIwJAhQ3D8+HF4eXnZ9NwV5cMPP0RMTAwuX74MtVoNg8GAJUuWoEGDBnKXBoDhhojINiQJqvh4iCdOQDx+HOKJE1DHx0Oys4OxSRMYmjdH4YABMDRvDmOLFjB5eAD/mDtFr9dj2fjxFl/QJr0ex44dQ25uLu7cuYORI0fi8uXLAIDBgwdjyZIl//8ykihCqlULxlq1YGzZsvgar12DJiYGYkwMtAcOoOe5cwgrKIDR3x+6J5+EPi4OOi8vwIbjn15//XX8/PPP5l6AJUuWoKCgAB988EG5jtuuXTt4eHjg9u3b5sU3VSoVIiIiylvyI23dutVi7JIkSTAYDDh69CjCw8Nteu6K4uLigl27duHQoUPIyspCq1atEBAQIHdZZgw3RETWoNNBc+oUxCNHIJ4+Dc0ff0CVng6jlxcM7dohf/x46J9+GsamTYH/9ShkZWXB2dn5oT0UgiBAEIRiex+MRiMGDRpksZzEDz/8gJo1a2L+/PkAgAMHDuDcuXOoXbs2+vfvX3RWX0GAqUED6Bo0gO6FF+5t0+uhvnwZ4qlTEA8cgPO4cYDBAH27dtB36wZd9+4wNm9eJIiVVU5ODrZs2WKxzWAwYM2aNZg5c2a5ju3k5ISff/4Z48ePx7lz5+Ds7Ix333233AEjPT0dv/zyC+7evYvg4GA8/fTTFs8/OAD5PkmSFDfuRqvV4plnnpG7jGIx3BARlYXRCPWFC9AeOgTx0CGIv/8OFBbCEBgIw1NPoWDwYBjatoWpfv0iQeDo0aN45ZVXcOfOHWi1WsyePRtjx44tcgqNRoM+ffpg69at5oAjCAKeffZZXL9+HYmJiRb76/V6/PTTT5g/fz4+/PBDrFq1CqIowmQyYenSpdi1axdq1qz56PclijC2agVjq1YoePlloKDgXs/TgQOw++47OM6ZA6OnJ3RhYSgMD4chOPixQScrKwsXLlxAjRo10LJlS4sv//z8/GJf8+A6UuXh5+eHXbt2lfs496WkpCA0NBRZWVkQBAE6nQ5z5861mG142LBh2LNnj8XYJWdnZ4SEhFitDno03gpORFRCQkYG7L79Fs4REajVrBncnnkGdlFRMDZrhuw1a5AeG4us6Gjkzp0L3QsvmAfqPig5ORmDBw82L+Cr0+kwc+ZMbNu2rdhz5uXlFbtNpSr+r2+VSoWYmBisXLnSvJyFXq9HcnIyFi5cWPo3bW8PfdeuyJszB5mHDiH97FnkTZ8OdUICXPv2hVtQEGrMnw/1lSvFvvz48eMIDAzECy+8gNDQUISFhSEzM9P8vLu7Oxo3bmzRqyGKItq3b//Q9yind955BxkZGdDpdCgsLIQkSZg1axaSk5PN+zz77LNYuHAhatasCZVKhYCAAPz888+oVauWLDVLkoScnByrhMWqovL95hARVSJCairs16+Hy8CBqNW8ORznzIFUsyZyFi3C35cuIfPgQeTOmwd9aGiJbre+v4aWxTgakwk//fRTkX31ej327dtnsa8kSTh8+DC8vLzQvHlzi8Gxoihi6NChuHr1apHbt/V6PS5evFiWH4EFk7c3CkeMQPb33yP97FnkjxsH8dAhuHXujJpdu8Jh6VKobt4EcO+S0/Dhwy2+WC9evIi3337bfDxBELBp0yb4+PiYtwUEBGDVqlXlrtUWrly5Yh6/86D4+Hjk5uZizJgxqFevHmbMmIFWrVrh4sWL+O2339CsWTMZqgW2bduGxo0bw9/fHwEBAdi5c6csdVQ0hhsion9Q3bgB+5Ur4dqrF2q1agWHzz6DsUkTZP3wA9IvXEDOZ59B98ILkOrUKfWxS7Pg4v0xN8URRRHfffcdnn76aahUKmi1WrzyyiuYPn06vL29i6zVpdFo4OvrW+p6H0Xy9ETB+PHI2r0b6cePo7B3b9h//TXcAgPhPHo00qOikJWVZRHO9Ho9jhw5YnGchg0b4tixY/j1119x+PBh7N+/Hx4eHlat1Vp8fHyK9ChJkgQvLy+8+eabiI6ONr/fY8eO4eWXX5ajTABATEwMxowZg+zsbAD3Lg9GRETg3LlzstVUURhuiIgACHfvwu7bb+EyaBDcnnwSDuvXQ9++PbJ27ULGmTPI/egjGDp0AMo5KLR79+4QRbHIF+TWrVvx+uuvmxerjI2NRdeuXYtMlCaKIp555hk4ODjA09MTe/fuxfXr15GSkoK5c+dCrVajU6dOeOaZZ8y9OqIookaNGpg+fXq5an8UU6NGyH/7bWQcP47sqChApcKTM2bgIoDJAFwe2LfIwGbcG5zaokULNG3atFIPvJ07dy5EUYRGo4EgCFCr1Rg1ahQCAgKwdetWi1Cp/9+dbQ9ehqtI27dvL/KzVKvViI6OlqWeisQBxUSkSMVdOiiisBDafftgFxUF7e7dkGrUQGHfvsibMQOGtm2tdkfQg7y9vbFlyxaMGTMGN27cMG83mUz47rvvoNVq8cEHH6B///74+++/LV4rCAK6d++OL774osj2B6lUObYYqQAAIABJREFUKmzcuBHr1q3DuXPn4O7ujrFjx1pc+rEZQYC+Y0foO3aEcPMmTvbrhxkJCVgIYDOAlYKA0W+8Yfs6bKR169bYv38/Nm7ciOzsbLRr1w7Dhg2Tuyz6B0GqTiOM/uf+QD5rU6vVcHNzQ0ZGhqJXIXZ2di71AnRVCduxajt79izGjh2LhIQE1KxZE/PmzcOQIUMs9lHFxcFhzRrYbdkCQa9HYVgYCgcMgL5bN8DGE7zdd/PmTbRq1arIdmdnZ0RGRmLIkCFFem18fHyQmZmJvLw8NG3aFB9//DE++eQTHD16FKIoYsyYMZg1a1al6vnIz8/HvA8/hLBtG0bm5aFjbi50ISHInzQJ+u7dHxsgq9Lncfz48Ra9N6IoIigoyDzh4sPY6rMYExODsLAwi98jtVqN3bt3F/u7ZyvWbEN3d/cS7cfLUkQkO0mSrHInR2pqKl544QUkJSUBADIzMzF16lTs3r0bkCSIv/4Kl2HDUKtdO2jOnUPuwoX4+9Il5KxaBX1oaIUFGwAPXbxRkiSYTKZix9pcv34dubm5kCQJsbGxGDBgAI4fP26+K2r16tVYtGiRrUu3qPVxHBwc8NGiRVhw6RKaJiYi49AhmHx84DJiBGp26QK7b78FdDqrnMuWry+JJUuWICwszNx27dq1w4YNG2x+3odp06YNIiMj4fy/ge6urq7YsGFDhQYbuTDcEJFsjEYj5s2bBz8/P3h7e2PgwIG4c+dOmY934MABFBYWWgQHO0lC+qJFqBkSApchQ2BycUHmrl3I2rEDhQMH2nTm3Ufx8vIqMueLKIro27cvgoKCULNmzUf2wBiNRhiNRovLb0ajEUuWLMGLL75Y5JKWNe3evRtPPPEEPDw80LZtWxw/frzErzU2b46cL75ARkwMdM8+C8f334db27ZwWLoUwv8Gvj4oJSUFHTp0QN26deHv74/PP/+8VEElPj4ePXr0gKenJxo1aoQ1a9aU+LWl5ejoiMjISKSkpCA5ORk//PCDbLd/39enTx/ExcUhISEBsbGx6Nmzp6z1VBSGGyKSzaeffooVK1YgLy/PPD19cZdjSurBLu+aAGYDSAYw8tIl6MLCkBETg5xVq2Bo06Zcdd+9exdvv/02unXrhsGDB+P06dOlPoZKpcLmzZst/hXdu3dvLFy4EK6uroiKijKPkVGpVPD29i7xsQ8fPoxhw4aV+ef4KDExMRgxYgRu3boFSZKQnJyMgQMHIi4urlTHMXl6Iu+DD5Bx9izyX30V9uvWwa11a9SYOxfCrVsAgIKCAvTr1w8nT57E/2PvvONruv8//jx3ZRIxgxhBiD1qRFC0dv3EHqFGbUprtkarRa3SlojZUnuP8LWKGBHUqtSOWEmrQSQSmXec8/vjuqe5uffGjVLa3ufjkQf3jM/5nHHv533en9f7/TYYDKSkpDBz5kx++OEHu46RkpJCYGAgV69eRRRFkpOTmTx5Mps3b871eecGjUaDs7PzKz1GbjAJn7/44gveeecdOnbsSHh4+Ovu1ivltWtudDodS5YsITIykqdPn1KwYEG6du1K48aNAbh37x7BwcHcvXuXIkWKMGjQIKpXry7vHxERwapVq0hISMDPz4+RI0dSuHDhHI/p0Nz8Nf6tWg0Tjvv491GlShUePBvIsnLq1CnKlSuX6/ZiY2N5r359hmVmMgJ4BMwRBPyDg2nXrdtf7zDGpHutW7fm2rVr6HQ6FAoFCoWCvXv3UrNmzRdqMyUlBZVKZTEgSpJEcnIyrq6urFmzhgkTJpgZLIIgoFAobD6nfn5+REdHky9fPj7//HN69Ohhd58MBgPr16/n2rVrFClShD59+pAvXz4+++wzvv/+ezOPkZOTE+PHj2fkyJG5PPMs6HQ4hYbismAByjt3yOjVi1MNG/KulTpQFStW5Pjx489t8tChQ/Tq1cvi+vj7+7N79+4X7+tL5lV/F0VRpHPnzpw+fRqdTienGNi0aRNNmjR5Zcc18Z/U3BgMBvLnz8/06dPZuHEjw4cPZ/HixXKipGnTplG3bl02bNhA9+7dmTlzphxWFxsby/z58xk6dCjr1q2jdOnSf+t8swMHDv4atn7o7Ip0yoaQkECF1au5p1DQQ6FgJFBZocD7iy9emmEDcPz4ca5cuSKLRkVRRBRF5s+f/8Jturu7W33TFwQBDw8P1Go1np6eFp4YDw8PypQpY7PdmzdvotfriY+P56OPPrI7BFgURXr37s0nn3zCihUrmDNnDk2bNiUhIQG9Xm+z1tVfQq0ms3Nnnhw9ytOlS1GfOUOTAQNYCpTOtqm9z4fBYLCqXXqR5+ufTGRkJOHh4fIza9K4zZ079zX37NXx2o0bZ2dnevbsiZeXF4IgUKlSJSpWrMi1a9e4dOkSmZmZdO7cGbVaTaNGjShZsqScAOro0aPUqlWLmjVr4uTkRFBQEHfu3CEmJuY1n5UDBw7soW3btmYZdpVKJaVKlaJs2bJ2tyE8fozrtGl41qqFZvduMubOJU9sLBOvX+dpejojRox4qX1+8uSJhRZGFEVZ43L27FkCAgLw9vamXr16FgnrrCFJEgsXLsTPz4+SJUvSvXt3fv31VwIDAylRogSVKlVi9uzZFvs9ffqUmTNn0qVLF7PraMqhk70y9erVq+06x4MHD3L48GF0Oh0GgwGtVsuDBw9YsGABLVu2tDCydDod7777rl1tPxeFAm2bNjw5dIhHy5dTU6XiJrASKItRl9S+fXu7mqpduzaurq5mBo5KpSIwMPDl9PUfQmJiooWRJ0nSK9VlvW5eu3GTnYyMDKKjoylVqhQxMTGULl3aLNlVmTJl5EiIe/fu4ePjI69zdXXFy8tLXu/AgYM3m2nTptGmTRv5s4+PD5s3bzYbqG2i1+O8dCmedeqg2buX1LlzeRIRQWbXrty8c4eIiAg5kuhlUr16dYs3f7Vajb+/P7du3aJDhw5ER0eTmZnJnTt36NKlC1evXs2xzWXLljF9+nQeP35Meno6x44do1WrVpw5c4aMjAwePXpkVdOiUCjQ6/XMnTuXli1byssLFy5s9Rpq7YhKAuNva/b9dTodt27dokmTJsydO1cWQru4uLB8+fKXH4EjCCjbtiUzLIxehQrhA1wHDpYsybjOne1qokCBAmzZskWeyhAEgQEDBjBo0KCX29c3nLJly1r1thV6gQzb/xTeqCR+oijy3Xff4evrS82aNYmKisItWySDm5sbDx8+BIyGkLX12avMxsfHm+lsFArFK7mppre5NynHxKvAJE77t+K4j38fbm5urFy5kuTkZNLT0ylcuLBd5QlUJ0/iMn48ivv3Sf/iC7S9e4NSiRJYuHAhU6ZMQa1Wo9freeedd1i3bp19BpMd+Pn58c033zB69GiUSiV6vR5/f3/Gjx/PwoULzcLaTf/u2LGDqlWr2mxzxYoVZl4We6ZNBEFAo9FQv3598uTJw+rVq0lKSiIxMZHNmzdbTDkolUoCAwPtuudly5a1KN+gVqvl7MH9+vUjKCiI+Ph4m4ZUTqSkpLB+/Xri4uLw8/Ojc+fONotkVqtenfVxcdyMiuLxhQs0+O47lA0aoO3Vi/TRo8ksXJgHDx6QP39+i/EAoE6dOly9epUHDx7g4eFhdZu/m9jYWLZs2UJ6ejqNGjWidevWr/S7aE3XBkbP39/xG/BaflOlNwRRFKXg4GBp3LhxUlpamiRJkrRz505p8uTJZtstXrxYCgkJkSRJkqZNmyZt2rTJbP3w4cOl48ePmy1bsmSJ9NZbb8l/wcHBr/BMHDhw8MqIiZGkHj0kSaGQpIEDJenRI7PVZ8+elQRBkAD5T61WSzNmzJAkSZJ+++03acCAAVLjxo2lYcOGSQ8fPpSSkpKkffv2SXv27JESEhLs7kp0dLS0fft26fjx45Jer5ckSZI+++wzycnJyeL4o0ePzrGtkiVLmu1j669QoULy+RUoUEAKDw83aycpKUny8/OTNBqNpFKp5P0EQZDGjRsniaJo17mJoih17txZUqlUkkajkTQajVSuXDkpMTHR7utjiydPnkgVKlSQ21Wr1VKHDh3s7pskipK0b58k1akj6dVqaY5GI7mBpFAo5Pv8JhMZGSm5u7tLTk5OkpOTkyQIgvTdd9/lqo09e/ZI7dq1k1q0aCGFhIQ899odOnRIUigUFs9T5cqV/8qpvNG8EZ4bSZJYsmQJd+7cYdq0abi4uABQsmRJtm3bhiiKslV/584d3n77bQBKlSrF7du35XbS09OJi4ujVKlSZu136tRJjr4Co+cmMTHxpZ+HUqkkb968JCcn/6ujbNzc3EhNTX3d3XhlOO7jG0h6Os4LF+I8fz6GypVJ++knDLVqIYoi8yZOZMWKFeh0Onx9fdFoNHJ9JjBOpxw9epROnTpRr149OSDh2LFjbNy4EaVSSUJCAmAU6O7cuZMqVao8t0v58+eXI01MhQnr169vMfWj1+tp2LCh/JuTnp5OYmIiRYoUkd9kW7duLZ8DmJdTkJ55f1QqFYMGDWLgwIE8efKEYsWKoVKp0Gq18n2cMWMGN2/eNHtuBUFg6dKldO7cOVc1jpYsWULz5s25evUqRYoUoWfPnkiS9Nzfzm3btjF9+nSePHlCrVq1CA4ONgtj/+qrr7h9+7aZZ2jXrl1s2LCB1q1bW7Rn9ftYrx7RCxcyLyCAWQYDQcA4UWTypEkUKVKEDh062H2efzf9+/cnPT3d7B6NHj2a1q1b2zWjsG3bNgYNGiQ/F2FhYVy5coXp06fb3Kds2bLkzZvXrIipWq2mdevWr2QszM7L/E319PS0a7s3wrhZunQpN27cYPr06bi6usrLq1atikajYfv27QQGBvLzzz9z7949GjRoAECTJk0YM2YMFy9epFKlSqxfv57SpUtbVL4tWLCgWfhYfHz8Kx20TMm1/q1IkvSvPj8Tjvv4ZqAOD8d91CjIzCRl7lxj4j1BAIOBWbNmMX/+fHka59y5cxbnpFQqKViwIHPmzLEY3BMSEhAEQf7Bf/LkCUFBQVy4cCFX1btN1KlTh++++46xY8ei0+lQqVTMmDGDRo0aodfr+e6775g1axaiKFLMw4Mfp02jrpcXM8qWpUnp0jy4eRMnwNPZmZqVKnHj11+NIdIYdTQVbt5E+vprChYogFigAGLBglCyJGK+fEheXnI+mKxIkkRUVNQL3euOHTvSsWNH+fPz2ti3b5/ZwBseHk7btm05duyY/NseFRVldcrr9u3bObaf/ft45OhRdqpUhBoMjAN+AIZKEjvXraNdu3a5PNO/D2vnKYoi9+7dsyvh35QpU8z0M3q9nkWLFvHxxx/bHPjd3d3ZtGkTPXv2lCUaHTp0YPTo0X/rb8Df+Zv62o2bhw8fsnfvXtRqtVlp+M6dO9O1a1cmT57MwoUL2bhxI4ULF2bChAnky5cPgBIlSjBy5EhCQkJITEykQoUKr7TqrQMHDv4+hJQUXL/8EufVq8kYMIDUCRMgWzXpZcuWWWToBaN31uTxValUDBs2jKFDh1o9TtaBQhRFfvvtN5KSkuTfmdwSFBREYGAgcXFxFClShDwpKah++onrGzZQ63//4yxQEiiYlAQjRyI6OSF6e9OxeHEyfHzQKRS4eHoiODlRrEYNkrVanPLkwUWpRIiPR3nzJsLp0ygeP0aIj0eRkkIBwFCkCFPS0ggDzj37MykNbWkuXjbLli2zGHhjY2M5efIkzZo1A4yicbVabVE9u0SJErk6llqtRpIkMoFpwCpgLvD1kSNkjh9P2qefIr3m7MBZSU1NZdKkSbKXLyuCINidpNHkZbS2PCevRq1atfj111+JiYlhzZo1bN++nZo1a9K+fXs+++wznJyc7DuRfwiv3bgpXLhwjkXFSpcunWMsfsOGDWnYsOGr6JoDBw5eE+rwcNw//hiUSpJ27kRfv77V7WxF/5hqM0mSRJEiRShatKjd7myFQmEhOj116hSrV68mPT2dd999ly5durBo0SLOnz9PkSJFGD58OGXLlkV4/Bj1qVO4RkZS9NdfUV26hOLRIyRXV/JoNMQB4UDMs784tZpP5syhR7aq0mlZ/q/BKJBIwzp51GrSrlxBdfEiKfPm0frpUyYCLsBd4DSgSU9HePoU6VmNoVdF9mAOMF7PjIwM+fOHH37Ijh07ePDgAQaDAYVCIYtqc0Pz5s2ZMmWK7A2IAborFBybMgX/DRvw9PcnbcIEMp6JzV8nkiQxYMAAjh07ZmaMm+QWX3zxBUWKFLGrrcqVKxMZGWnWjru7O97e3s/dV61Ws3btWpYuXSrvv2LFChITEwkJCcnNKb3xvHGh4A4cOPjvIiQl4TZuHHk7d0bbqhWJR4+ir1+f0NBQGjRoQJUqVRgwYID89vr2229bze8CfyYqi4mJoWbNmjZ//LPuo1KpGDFihFmbu3btIjAwkG3btrFnzx7Gjh2Lv78/c+fO5dRPP/Fk3TpON2yIc0AABfz8cP/oI1Tnz6OvWJHUadN4HB7O1DFjqKPV8iEwH9gBnAceCQJK1V98x3R2xlC+PJldu7KlQQMaAHmA6hg9Glrgvb17ye/nR57330ezfz+8pCR28fHx9OvXjypVqtCoUSNKlSplVisLjNd3165dVKtWjXr16rF7927CwsIYP348/fr1Y+bMmaxbt85mtJQtvLy8CA0NpVy5cqhUKooUKcLy5cvxGzaMJ2FhpI0di+v06eRr1gzlzZsv5XxflPv373Po0CGL6TgnJyfWrFmTqxmHhQsXmiV8VCgULFmyxC7PiyRJFtmldTodmzdv/ufo7+zktZdfeB04yi/8Nd6EtP2vEsd9fA1IEprQUNwnTUL08CBl3jzZW7N371769u1rJoT09fXl4MGDpKSkEBQUJNd28vT0JDU11apHR6VS0ahRI44ePYokSSgUCmbOnIlKpWLDhg2IokinTp0YOHAggiAQGxtLnz59uHTpktyGANQD2gLvAHUwGg8ngNs+PnQIDkZZu7aZp2Du3LnMmzfPIrxbqVTi7u7OwYMHiYuLQ6PRyDrD7KSnp3Pp0iUkSaJq1apm2sSs97F27dpW83x1bteO73v1wmnrVpx27ULMl4/MHj3I6NkTMVsAhr1kZmby7rvvmomDBUGgYcOGct0iNzc3fHx8uHHjhryNQqFgzpw59OnTx67j/JXvo/DoEe7jxqE+epSU+fPRvqbkfdHR0dS34n3Mmzcvt27dytV3MTg4mK+++kq+Fmq1mubNm7Nq1arn7mswGChWrJjV3E83btx4ZUU+X0f5BYdx8xJxDIr/Dhz38e9FiI/HfexYNIcOkTZqFOkffghZ3kLbtGnD2bNnzfcRBHbu3ElAQACiKHL37l30ej3R0dF88MEHNu+bh4cHZ86c4f79+3h7e9vU1ej1eho1asTdu3dR6PU0BToA7YDCwEngIBAGnAFM7+Oenp789NNPlC5dWm6rTJkyVq9z2bJlGT9+PBMmTCAxMRFJkihfvjzbt283m6K4e/cuHTt2JDY2FoBixYqxfft2OYtz1vvo4+NDSkqKxbGqVq1KWFiY8dolJeG0dSvOa9agvHaNzG7dSPvkE8RnRTrt5fjx43Tp0sVioAwICGDx4sXy98da5uJSpUpx7tw5u47zl7+PkoTL4sW4Tp1KxsCBpH7+OT8dOcLMmTNJSEigbt26zJ49+7kDu06nY9asWYSGhqJUKunbty9DhgyxS3iu0+moVasWDx8+lK+XWq2mZcuWrFy5MlffRT8/P6uZha9cufLcuooAgYGBnDlzRja2lUolZcqUISIi4oVE9Pbwn6wt5cCBg/8umn378Hz7bRS//caTw4dJHzPGzLABrLrLFQqFvFyhUFCmTBnKly9Pq1atePvtty2mRkxkZGSQP39+qlSpkqNg+M7ly9SKjmaNXs8jYCdQFJgEeAFvY5zyieBPwwaMae7btm1r1lbWsPSsbN68mc8//5wnT57IXqk7d+4wfPhws+369evHH3/8IX9+8OABvXr1stqmrR/+8uXLy/+XPDzI6N+fJ0eOkLR9O8qbN/GsVw/XL79EyEVYcFpamtWppJSUFIoVK0blypWtZsU17fsiaLVaIiMjOX/+vP1tCALpw4aRtG0bTtu2ITVtyriePbl8+TL3799nz549BAYG2rxPJsaMGcPixYu5d+8et2/fZurUqcybN8+uLqjVajZt2mQW6l29enW+/fZb+84hC9Z0TWD9e2KNpUuX4uvrK3/29vZm3bp1r8yweV04jBsHDhz87QjJybiPGEGefv3I6NuXpH37MFSoYHXbd955xyIDrkajoXr16hbbKhQK1q9fz5QpUyxqCqnVagICAmx3SpJQnTyJ+8iR1G3XjiUYDZe+QEEgEGN9o0Slkg4dOtgcDB48eGA2LVa/fn2L+lklSpRAr9fz4MEDM8+HTqfj9OnT8ufMzEwuX75sEREWHR1t9U3fVh0tNzc36tevT4MGDViyZInR6BAE9A0akLR3L0+XLkWzfz+edergsmABWBlATXWmTNSoUcPCiFSr1WaeGl9fXzw9PS3uQ9a8Y/Zy//59mjRpQrNmzWjVqhX16tXjxo0bOe4jSZIsZtY3aEBiWBj3//iDC4CpBzqdjqioKLPrnp2UlBQ2bNhgppnR6/UsXLjQ7v5XqlSJc+fO8dNPPxEeHs6ePXteKCKvQYMGFjqzokWL2h1t5uXlRVhYGOHh4Rw7doyTJ0+alTH6t+Awbhw4cPC3oj52jHyNG6M6f56kfftIGz8eckjf/+mnn9K0aVP5s6urK6tWrbLpglepVAwZMoSDBw9StGhReXn58uWtRoQo7t3DZd48POvWxaNjRxSPH/M0OJjG5cvzgUrFDiAVo1HStGlTwsPDWbZsWY5FKLMO5osWLTJ7Uy5UqBAbNmwgb968VvfNmqJerVZbLW0gCALLly/nww8/5IsvvpATsb3//vsMGDDgz3NTKGjQoAHr168nOjqaqKgopkyZwpgxY/40jgQB7Xvv8SQ8nNQpU3BetgzPevVw2rgRJIlHjx7Rvn17ihcvTvHixWnYsCEjRozgxIkTrFy5Uk66CsYIprFjx8qfXV1d2bBhg9kgXqtWLebMmWPz2tli0KBB3LlzR/786NEjgoKCbHqHQkND8fX1pUSJElSuXJnw8HAkLy/6ly7NGuAQMDrLdbLl+YiMjKRRo0ZW12VmZto8fnYePnxI165dadmyJU2bNmX8+PF21/rKSnBwMBUrVpQ/FyxYkA0bNtj0VlpDpVLh5+dHpUqVrGq8/g04NDcvEYdW49+B4z6+GoT4eNw+/xynbduM2odJkyDLwJgTkiRx69YtkpKS8PX1tWkYZEWpVOLs7Mzp06dRKBRUqFDhzwEgNRWn7dtx3rAB9dmz6P38uO7vz/jISKKSk6lTpw4ffvgho0aN4ty5cyiVSnr37s306dNlY0OSJMqVK2eRt8TLy8tMhAzGt/zr169jMBgoX748Li4uPH78GD8/P4t+Ozs7ExAQwN27dylfvjxeXl6sXr1a9vAIgkCBAgVITk5Gq9Wi0WgoVKgQYWFhsm4kNjaWuLg4vLy8eOutt6wOwG5ubqxZs8Zy4E5Lw2XZMly/+YaMHj1oeOECl65csYj0USqVDB06lI8//pjo6Gjy5ctHmTJlrHq0UlJSiIqK4tixY+zevRutVkvr1q0ZP378c+tSKZVK8uXLh1qttvp9vHz5skUY9enTpwkMDDS7ZiqViuPHj7Np0yZCQkII1OlYDwQBuzQazp49a5Fr5uHDh9SvX5+UlBQLbZFKpaJ27drs3r07x/6DMTVB8+bNuXbtmnwd1Wo1/fv3Z9q0abn+LhoMBm7cuIFWq6V8+fJmAvM3kdehuXnteW4cOHDw70cTGor7p58ienmRtH8/+po1c7W/IAiUK1cu18d1cXGhRo0afyb3u3ULl5UrcdqwAVQqMrp3J2XOHE4kJ9O+Qwez8PHIyEgOHjwoD4zZ9SWCILB3715atWoli3jz58/Pnj17LPqhUqksSjrYGswyMjI4duyYMXdLTIycrC4rjx8/lpdptVoePXrEsmXL+PTTTwFjgtMSJUoQHx9v07OQmppKr169uHDhAgUKFPhzhasr6R9/jK5BA9y7dWPU06f0s7K/wWBg4cKF9O/fn7feesvqMUy4u7tz6dIlOTszGDP13rt3j2XLluW4LxivtbOzs1XvirVCmLt27bIoYaFQKNi/fz9jx47l2rVrbD1wgHLAciBo1iyrSfROnDhBenq61egiHx8fu/oORmPz119/NVum0+nYtGkT06ZNs6uNrCiVSipVqpTr/f5LOKalHDhw8MoQHj0izwcfkGfoUNIHDODJTz8917BJSkpi1KhRNGrUiA4dOuSohcjKxYsX6dKlCw0bNmT48OF/RpTo9Wj27iVv587k9/dHdf48qTNnkhAZSdqXX2KoUoWFISFm1bxNOozw8HA0Go3NHCy+vr6MHDmScuXKUb58ecaNG2e39sHb25vChQubta1QKBAEQTbG9Ho96enpZgZK1n6a0Gq1/P777xbHKFCgACVLlrRZjTkjI8PCy2RCX6cON7//nneB7YCz1a2MSfmsHTs7c+fOtdAX7dixg7i4uOfuC0Y9UdapF7VaTffu3XHPlrUasGqMmJabcsuEh4cTsHMn6oAA2q5fD9k8U6btrXmi6tWrx9GjR82mPXPCVn/smTiRJImIiAjWrFnDkSNHbLblwByH58aBAwcvH0lCs3Mn7hMmIBYvzpNDhzDY8aap1Wpp3769nBdFEATat2/Prl27qFu3rs39Ll++TJs2bTAYDIiiyO3bt7l+5gxn+/XDY+lShMREMjt1IvHQIQzPhMhpaWncvXqVfPnymUUsmVAoFM+dKvjyyy/NSkBMnjyZlJQUPv744+eeq0qlYv369XTt2lUOBTdNT+RWLaBWq80iokwIgsC6devo1KkTDx8+tFgvimL7RdMVAAAgAElEQVSOUxoFmjShj68vITdvsg9jKHz2K/Lzzz/TvHlzwsPDzT1A2bAWog5GD5aXl5fN/UyMHTsWZ2dnVq1ahcFgoF27dkycONHqtm3btmXFihVmywwGAy1atACM18U0JZixbBkuTZviOmsWaZ99ZrZPw4YN5VIRpnuiUCjo27dvrrQqJUuWxM/Pj+joaPlZUavVZgU+U1NTuXfvHp6enrLRJEkSo0ePZv369XI/WrRowY8//mjTYHVgxOG5ceDAwUtFePiQPP36kefDD0kfPJgn+/fbZdiAMXfK1atXZV2CyUuxYMGCHPdbsmSJbNgUBD7X6Th29y664GAyhg0j4ddfSfn2W9mwiYiIoGrVqjRu3Jjq1avLOWSyotPpKFOmjM1jZmZmsnjxYotIpnnz5tltnFSvXp1z586xc+dO9u3bx4wZM54bkqtUKnFzc0OpVOLk5IRaraZq1aoUK1aM//u//6NZs2bMnTuXhIQExo4dy9ChQ6lYsSK9e/e2iFqqUqUKe/bs4Z133qFDhw4cOXLE7FgKhYKvt29nSJUqFAKOANnrVuv1epKSkti2bVuO/a5bt66ZvkYQBDw9PS0KHdtCoVAwfPhwzpw5w/nz55kyZYpVvc6BAwf4+uuvKV68uOzpyZs3L6tXr7aqcZKKFOFpSAguCxeiznb+Xl5ebNmyRQ7hVqlUfPbZZ3Tu3NmuPptQKpVs2rRJnpoUBIHAwECmTp0KwOHDh6lSpQqNGzemWrVqjBgxAoPBwL59++QEk5mZmYiiyOHDh1mzZk2ujv9fxOG5ceDAwctBFHFatw63qVMx+Pjw5PBhDFYGk5xITk5GpVKZRZGIoihHA9kiISGBCqLIR8D7GOs2jVWrqffll3Tu0QPp2TRPWloaixYtssgYnDWPjAmFQsHvv/9uNeQcjJ4Ia0ZMZmYmer3+uUJZE3ny5JFD1N966y0uXrzI8uXLbW5fsGBBtm7dyq1bt7h58yYpKSlERkYydOhQuT9Xrlxh6dKlpKamotPpUCgUREREMGHCBLZs2UJycjL+/v4kJCSwfPly2Zg8efIka9eupXnz5vLxvLy8WH/kCGmxsZR+/332x8RQO9u5C4JAUlJSjue5YMECOnbsyM2bNxEEAXd3d9atW/dSCzbu3r2b/v37y31TqVS0aNGCNWvW5FjeQde0KelDhuD+yScknjljtq5OnTpcvnyZJ0+ekCdPnlxFJWWlWLFiHDx4kKdPn6JWq+USCnFxcXTu3Nksf83WrVspW7YsWq0WlUplJsI1GAxcvnz5hfrwX8Jh3Dhw4OAvo4yOxn30aFSRkaROmEDGgAHwAoNA9erVLaIpcsxPI0mojx4l5PZtfIGjGKNfdgOSXs/wLCnv09LSaNWqFTdv3rQohWD1nJTKHLfLnz8/3t7e/PHHH3KfVSoVFSpUsNuwycqRI0dYvHgxycnJ1KhRg4sXL1pso9FoOH36NO7u7vj5+bFgwQKCg4MtdBh6vZ4nT57In03rL1++zMmTJ+X/Zw2xN203Z84cM+PGhGuJEmT+8AM169engSBwIotxo9PpqF27do7nV6RIEcLCwvjll1/QarVUq1bthSuvZ8dgMLBo0SLmzJljUZX8p59+4u7duzl64QC0bdrgsngxZGZaJJI0eZleBnmyFS89f/68xXOm1+s5cOCA1QzQSqXSLBmgA+s4pqUcOHDw4mi1uHzzDfmaNEFydycxIoKMIUNeyLABY0mC+fPno1QqZU1BQECAWe4UwGjU/PQTHi1bkrdnT7xr1WJEgwY0BfaoVPCsflHNLOLllStXcuvWLbsMGzAaVfXq1bO5XhAE1qxZQ758+VAoFCgUCgoXLswPP/yQ6/M+cOAA3bt358iRI5w/f96myLdw4cKygPbRo0dMnz7dboGpKIpmaTCePHlidQosu5csOTmZAQMGULp0acq0bElkuXJ89yyyyOTFGD16tIWhBMZsurdu3ZL1Nk5OTvj7+/P222+/NMMG4JNPPmHGjBlm1cez8jyvEoChVCkESULx228vrV/24OTkZPUeuri40LVrV4oXLy4byyqVCg8PD/r1sxa/5iArDs+NAwcOXgjV+fO4jxqFIj6ep8HBaNu3h5eQwr1bt24EBARw7do18ufPT61atf6cUhBFNPv24TpvHsobN8jo2ZOnK1YgenvzuSTR7uJFHj58SPny5S1Cx+/du5erHBsuLi7PzR9SpUoVfv75Zy5cuIBCoeCtt96yGr1j4vr163z99dfExcVRs2ZNPv30U9zd3ZkxY4bZAGern59//rn8/99//z1XwmO1Wo2/v7/82eRhyjoFqFarqVChAv3795f7eOnSJc6ePStPXQ1KTuaMJLFv7lwee3nh4+NjVcy8Y8cORowYQWZmJgqFgi+//JIhQ4bY3V97iY+Pz7FopKurq1yHKyekIkWQnJ1R3ruH+JzttVotJ0+elL1s9uqGrBEQEEDJkiWJjY2VDW9BEBg4cKBcWHXu3Llcv34dHx8fxowZY1cNqVeFJEls2LCBrVu3IggC3bt3p0uXLq+tP7ZwGDcOHDjIFUJKCq5ffYXzihVkdutG6pdfIr0kl70JU54WGVFEs3s3rt98g/L2bTLef5/kdesQs4TiCoJg5qnJjo+PDwqFwsJwyJs3LxqNxiK5Z1JSEidOnKB169Y59tXDw8Oq1yI7UVFRNG/eXC5j8MsvvxAREcH+/ftJSEiwuk+tWrW4efMmHh4efPrpp2bRNd7e3igUCqtv/a6urvTp04elS5fK5+zv78/o0aPlbQoVKsTy5csZMGAAkiQhiiKlSpXi2LFj6HQ6RFHkl19+sUjed1aSOAzcHz8e5zVrrBo2kZGRDBkyRO6bKIpMmTIFHx8fWrZs+dxrlRuyTr9lx9nZmRUrVtiV9BFBwFCqFMqYGCyDws2PFxgYyPXr11EqlUiSxNKlS2nXrl3uO4/xXh06dIj+/ftz4cIF8uXLx6RJk+TnLl++fEyfPv2F2n4VzJ8/n1mzZsnfoxMnTvD48eNXYrj+FRzGjQMHDuxGfeQI7mPGgFJJ8tat6GykpX9pmIyar79GGRtLet++pG/ejK5AARYvXsyRI0fImzcvgwcPpn4WfY01+vXrx7Zt27h69aq8rFy5ckRFRVkN+RYE4bnp8SVJYuPGjYSGhqJQKOjWrRuBgYGAUTcREhLCsWPHyJs3LxkZGWb1mXQ6HdevX+fgwYPUrl2bAwcOmBkSTk5ObNy40arWIzExkXnz5lGyZEnu3r0rT1soFAo+++wzOnToQOHChenbty/Xrl2jQIEC1K1b10JU26JFC4YMGcLhw4fx8PDAycmJO3fuyEZJdsPGxDfANlHEu1cvWgUF8fnnn5tV1T527BhqtdqsGKUoikycOBFXV1eb5Qzs5caNG3z77bf8/vvvpKenWxh5SqUSX19ftmzZYleYudxHb28Ud+/muM3EiRO5efMmoijKxxwyZAj16tWzyJRsL8WLF2fLli0vtO/fiV6vZ/bs2WYvCKIo8tVXXzF48OA3qvimw7hx4MDBcxESEnD77DOctm4lfcgQ0j75BF5lyndRRPO//+E6dy7Ku3dJ/+AD0ocPRypUCEmSGDZ4MLt370av1yMIAvv27WPz5s05FmR0dnbmf//7Hxs2bCA2NhYfHx+++uorm1NAKpUqR80NwHfffWeWdffw4cMkJCTQt29fhgwZwt69e+V8PdamkFQqFQkJCcyZM4cbN25w69YtWWu0fPlyq4ZNSkoKrVq1IjY2Fp1Oh1KpRKFQMHDgQPr27UupUqXkbcuUKWNTSCtJEoMGDWL//v059tE0YGVdF4UxqZ/ymXEXHh7O0aNHZbGsRqOx2lZMTAydO3dmzZo1cs6Z3BIVFUWzZs0sCnmaMBWSXL9+fa4MG9LTUV24QOZzPDBZp+hM6PV6bty48cLGzT+F1NRUq5q1jIwMMjMz5QiwNwGHoNiBAwe2kSQ0O3bg2aABqitXSNq/n7Qvv3x1hs0zT02+pk3J8+GHaJs2JeHcOdK++ALpWYRIdHQ0O3bskH9kTblw7Elj7+zsTL9+/fj888/p2rXrn1mMs+Hk5MSqVavkwfHEiRP079+foKAgVq5ciSRJaLVaZs+ebeYxEEWRL7/8khs3bhAaGmqWr8camZmZVKtWjUKFCjFnzhz8/f3x8/Nj5MiRNgf/HTt2yIYNIOf3EQTBzLB5HtevX2f37t0Wfcz+9i1JkllxTIBSQAbw6Nnx4+LizDwP7733HiqVyuqbvCiKcn6XF+G7777L0bBp1qwZ4eHhdmeKNuEUGgqSRGaWqT9rZPVQmZAkycIQvXnzJiNHjqRr167Mnj3bptj5n0TevHkpVqyYmQdQqVTi4+PzRhk24PDcOHDgwAaK+/dxGz8ezZEjpI0ZQ/qIETlW7/5LSBKavXuN00+3bpHRty9JmzcjWXkTfvTokZXdJavLc8LJyYn8+fNb1buIosiCBQt4++23OXjwIH369JGNqLCwMG7evMno0aOtDrCpqak8ePDAqifEyckJnU6HSqVCp9MxefJkatSowfHjx+nSpYt8jGvXrvH7778THBxs0X58fLzF9JJer891QeD4+HirfdRoNHJGXtO6zMxMnJyc0Gq1SJJESSAWMO0pCILZ8UuUKEFoaCj9+/cnJibG4tj379/PVV+zEhcXZ9PbZiqvkJOoO/v2oaGh3Lp1i1EbNiB06/bcYq6ffvop3bt3l6+PWq2mcePGZrXDTN4lrVaLwWDgxIkThIeHs3PnzhfOk/MmIAgCq1atolOnTnJZEHd3d4ts0G8CDs+NAwcOzJEknFetIl+DBigSE3ly9Cjpo0e/MsNGdeYMHm3akGfwYHQNGpBw9iyp06ZZNWzAWM8pex4ZtVqdo5jYFvPnz5frOWVFp9Nx8uRJpkyZwuDBgxFFUR7oDQYDy5cvR6/XWxWqFitWjIoVK1qkx1er1TRr1oxNmzYxf/58jhw5wsiRIwFjGYesxoRer2fjxo3cvn3brI2oqChOnTplpmUB4/RW1apVzZZlZmYyb948evbsyejRo7l165bZel9fX4s+CoJA/vz5LbxGBoMBvV5Ps2bNKF++PCUxJkrMeqwzZ85w/fp1eVmNGjVYu3atxfUBY86hdevW5brMBBgTHdrKI6RWq6lRo4Zd7YiiSJ8+fRg2bBjh33xDkZgYep448VwPS9OmTdm6dStNmzalVq1aDB8+nB9//NHsGfr2229lwwaMz9O5c+c4evSofSeZheTkZKZOnUpQUBCTJk2yWkbjZSFJEmvXrqVv374MHTpUzomUlRo1anD69GkWL17M0qVLOX36tEVR2DeBf64J6cCBg5eOIi4O95EjUf/8M6mffUbGBx9ADpld/9Kxbt/Gbdo0NHv2kNmlC0+//x590aIkJyfjIUk2xYmFChUiJCSEoUOHytlbixcvzuzZs3Pdh1atWrF//3569+5ttYDjsmXLzAZgT8AbYwkC7eHDVMvM5AmQjnGaJgNQarUULlyYhQsXMnz4cLmP3t7ezJkzx2oY78OHD60O9I8ePZI1M9euXaNFixZmeg/TNWratKlZ7hODwUD37t35+eefZV3Otm3bOHz4sBwi7+XlxYIFCxgxYgSCIKDX65EkiT/++MNqxmaTgXP8+HF+rV2bmN9+M/P8HD9+nEaNGlGkSBGCgoIYP368TUPBYDAwZswYbt26ZRbeDkaxdGhoKE+fPqV27dpUrlwZDw8Pef2oUaOIiIjgwoULclsmT1b9+vXtjtoJDQ3l0KFD6PV6BgH7gH1RUaxYsYJhw4bluG+jRo1yFEVnTexoQqVS5dq7lpqaSsuWLbl37x46nQ61Ws3OnTs5fvx4jnW8XpQvv/xSLmUiCALbt2+3qo8qVKiQLJx/U3EYNw4cOABAs38/7h99hKFsWRKPHEF8TkZXE7/++isrV64kOTmZRo0a0bt37xxT3QuPHuE6bx7Oq1ah8/fnycGDGKpXZ+3atUyYMIGMjAw8PT1ZtmwZTZo0sdpGhw4dqFatGufOncPd3Z0mTZrg5ub2IqdNzZo1adu2LatWrULU6agA1AQqiiLeYPZnOkImoP74Y8KttCfGx6Pt1o0eH3xAjePHOffLL8/tY9WqVYmPjzcTa6rVarP8LLNnz0ar1VqEfs+cOZN+/fqZXfPjx48TERFh5m3KyMhg7ty5LFmyRN6uS5cu1KxZk+bNm9ssbJmV5ORkVE+e8G5aGof+7/+Qdu+W15mO9eDBA4KDg0lKSmLChAloNBqrUWcGg4Hg4GCGDx8uD9S///47LVq0kAuZmgy5PHnysGDBAtq2bYurqyuhoaEcPXqUU6dOsXLlSlJSUlCr1bRu3drugpbR0dEolUr66vX0BFpg9JhFR0fbtX9WRFFkxYoVnDp1Cg8PD0qUKCEXujSh1WqpWLFirtrdsmWLbNiA0QP05MkTfvjhB8aPH5/rfubEo0ePCAkJkT+bPImTJ09+YfH368Rh3Dhw8F8nPR23KVNwXr2a9NGjSRs92u4Mw2fOnCEwMFAOi927dy+RkZF8++23lhunpeGyZAkuwcGIJUqQvGYNunffBUEgLCyM0aNHywNkYmIiQUFBHD9+3CIZn4myZcvalZzNJhkZqK5cQXXpEvNSUxmhUuGr0+EC3AcuY5x6CQd+w6gx+e3ZXzKgVChQiiLOIP+5AL7u7mwpXJg8AwZQu0ABqrz/Phm9eiHlYHzNmzePNm3a8ODBAxQKBXq9nuDgYAoWLChvc//+fQvDRqFQEBsbiyiKZsaNNS+UKIoWU1NgvI5paWl2XbJChQrh9vnniEWLEhcYiPpZpFV29Ho9P/74I9OnT2fRokUMHjzYpk4mPj5eNm4mTpxIQkKCRUTO06dP6d+/P/v27aNWrVpyFfQPPvhAnqLT6XRMnDgRb29vWrVq9dxzKV68OD30ehYDH2AsCqpRqylevLhd18KEJEl8+OGHssjdFL3m4+PD7du3USqVaLVaJkyYYLNOmS0ePnxoVV/1KqambGnWcqtle1NwGDcOHPyHUV69Sp7BgxFSUkjauRN9lgy29jBlyhQMBoOZVmTt2rUMHz78T6NEktAcOIDbpEmg05E6YwaZXbtCFr3H//73Pwtxq0Kh4NChQzaNGxOnT59m8+bNaLVaWrZsyf/93/9ZbHPlyhXWrliBV0wMbVxceOvpU9TnziFkZGAoUwZ91aqU+ugjdsXFEalQUKlpU/r3759jnhuDKIJSyVNRJPXZACRJEuPnzyelXTtSp07FadMmnH/8Ede5c9G2acNvbdsy78IFHjx8SNWqVRk0aBAajYaiRYsSHh7OoUOHSElJoV69evj6+podr3r16ly+fNnMmDAYDISEhLBhwwbatGlD3759qV69uiz2zI6tfD6+vr5ER0fnmMFZrVbTJW9enLZuJenAAcq7u+dYysJUyTowMJAqVarQrVs32RAz4eLigre3t/z56tWrObY5btw4QkJC8PPz48iRI2Y6JROhoaF2GTdB+fIx1GDgY6WStaKIRq2maNGiDBw48Ln7ZuXatWtmkWKm70OBAgWYPHky8fHxVKlSxUwTFhkZyZo1a0hLS6Nx48b079/fatsVK1a0uB5KpZJKlSrlqo/2ULJkSZydnc2mElUq1Ss51t+Bw7hx4OC/iCShWLKEfJ98grZVK1LmzUPKomuwlz/++MNicBEEgQcPHlCuXDkUd+7gPmkS6qNHSR86lLRRo8DOSBZ72LdvH3379gWMhsWWLVuYPHkyI0aMAEmC8+eJX7gQ7apVfCdJOAPngcPVqhGwahWp1aqhLlAAvV7P4Ge5cwA0a9cyYMAAli5dKmfvtYZaraZTp05oNBoUCgXt27eXSxxInp5kDBlCxuDBqE+cQFq0iJKDBlFeoWCxKLJ7924OHz7M1q1bUSqVuLu70759e5vnOnnyZE6dOmXVCElISGDdunVs3LiRrVu32tR22Jp6WrJkCe3btyc9PV3W8TRv3py9e/ei0WjQ6/XUq1KF3qdOkTFoEPoaNSgHTJ06VdbMZH0OTAVETVFLZcuWZePGjbRt25anT58iCAIGg4GlS5eaTdWVKFGCmJgYq9dbFEUuXbrEu+++y969e5+blycnVOfP4zF0KMljxlDAzY2gW7coXrw4gwYNsi+bcRZM3rbsKQHi4uKsZreOiIigc+fO8nO1fft2bt26xcSJEy22bdu2LZ06dWLr1q1yFNvbb79N7969c9VHe3B3d2fJkiUMGDBAzrycN29eFixY8NKP9XcgSC8iV/+Hk1tRl70olUo8PT1JTEzMVQ2bfxp58uSx+gb4b+Hffh+F5GTcP/4YzeHDpMyYQWZQkN01oXQ6HT/88ANXrlyhUKFCXLp0iRMnTpi9XQqCwKUzZ/DZtAmX4GB0/v6kzpyJIZsnIivh4eF06tTJLNeKRqNhzpw5nD9/XjYcatSowdKlS7l9+zYlS5Zk9erVPHjwwKyteoLAgYEDcT9wAOW9e1xzdWVvWhphGKeYTE9umTJluH37Nk5OTtSpU4fTp09baF7Wr1/PsGHDbLrmFQoFa9eutVpFOztjxozh3rp17DcY+AyYi/FZW716td2ahvT0dAIDA/nll1+srhcEAT8/P9q2bcvXX39tsd7Ly8tmUc6HDx9y+PBh9Ho9jRo1onTp0pw8eZLr169TpEgROp06hcvevSQeP25moF68eJEjR47w/fffy9MlpUuXZuvWrRZ5dx4/fsyhQ4fQarUEBARYTCteunSJNm3a2MxjA8Zr7u/vT0hICAEBAWRmZsqGhSAIrF+/nmbNmtm4gsYK9h7vvUdmu3akzplj8ewbDAZu3LiBVqulQoUKFjl+shMbG0vt2rXNjBuT/sdaEdUmTZpw9epVC8Ps119/pWiWciImJEni2LFj3L59G29vb5o1a5ajpu2vEh0dzalTp3BycqJZs2ZW8/rklpf5m5p1qjYnHJ4bBw7+QyhiYsjbvTsIArqICDKzTAk8D4PBQI8ePTh58qQcueHs7GzhNh9epQp+XbtCRgZPQ0LQtmv3XOOpUaNGLFq0iPHjx/P06VPjYNqpEx9//DGCIMj5NYoWLUp8fDxardZMqFoRCHr2V1qSSD17lswhQ3B9/32a1a3LfSuakrvP0uxnZmZy4sQJi/WCIJCYmJhj7aKgoKAcB9KsxMbGcsxgoA+wCQgFYtVqi8gkURQ5dOgQv/32G2XKlKFx48ayN8LFxYWiRYvaNG4kSSIuLo46depYXZ89XDwrhQsXpkePHmbLAgICCAgIwGnjRty+/57ktWstPG81atSgRo0aDB8+XA4F9/PzsyrsLVCgAN26dbPZh6pVqxIWFsaqVau4du0aP//8s0XYuyiK3L9/H29vb7Zu3crAgQO5f/8+bm5uzJgxI8f7oTlwAPdRo9DVr0/qrFkWz2VCQgLdunXj4sWLgFFjtGXLFipXrmyzzRIlSjBjxgwmTJiAk5MTBoOBwoUL89VXX1ndPi4uzqrHKS4uzqpxIwgCTZo0sSmuf9mUK1fuuVPB/wQcxo0DB/8RlJGReAQFoa9cmacrVuBetCjkwgN3+PBhTpw4YZa7I6th4wzMBoZfukR8586ovv4aKRdTUJ07d6ZTp05kZmaiVqspVaqUhaYia/I3hVZLP2A48BZwBlgA7HZ2pl/HjkRdvUqpJUsoW7YsDx8+tDDCbE01mTAYDLi5udnUgEybNs1qPZ20tDS+//572bs0aNAg3N3dqVKlCidOnCBZpyMNuAsYtFqzwpN6vZ7evXsTFhYmV+zu1KkTISEh8nFyKimgUqkoU6aMzTpF9kYSgfH+rlyxgjLbttHl4kUefPEFqpwMB42GatWq5djmpUuX2LRpE1qtlnfeeceqNsbX11cuFPnbb79Z5C9Sq9WyDqRu3bpERkaSkZGBk5OTzSkp4elT3CZNwmnzZtI//tgoms+W4wdg5MiRXLlyRf78+PFjunfvzoULF2zm1gHo378/b731FmfPniVv3ry0adNGLkWRnQoVKnDmzBmz50qlUuUqu7SD5+Mwbhw4+A+gPnSIvP37k9m+PSlz575QQr779++jVqvN3Momw6MKsB7wAN4FRvXqRYMX0NYIgoCzszOPHz+2eGM3UQIYBgwABGClQkEfpZLoZ1FGlXx9mTp1Knq9HrVajbu7Ox4eHjx9+hSFQiG3m9OMvMm4yimXSenSpS0G0/T0dNq0acPNmzdl79aWLVs4ePAgo0eP5tChQzS9cYOfJQmDIDBgwACzgp9r167l6NGjGAwG+Tpv376dVq1ayVWnc8pvotFoiI2NlT0P2bFVbiI7BoOBHt260TEigkBRpLtKRfiiRRzp0oVCz8pg5JYTJ07QpUsXwHjtV61a9ac+ygbe3t7MmjVL9oqIokj+/PmZOXOm2XY5pf5XR0TgPmIEkpMTSXv3oq9Vy+a2ERERZoJtk3YmJibmuZF5Jg/W8/jmm29o06YNKSkpKBQKtFotixYteinTPw7+xGHcOHDwL8dp7Vrcx40jbfRo0seOtVtfkx1fX1+L6CEB+BCYg3GaZQiQJAgs8PH5S3329PTEw8ODpKQkeVljYATQHrgEfAJsUakYPnYsffLnl8safPrpp7LhotVqSUpKonHjxty6dYuMjAzq1avHyZMnSUhIkL03KpWKHj16cPHiReLj43nrrbeYM2cOLi4uuLi4WA2VzupxMbFhwwaioqLkAVKr1RITE8PMmTNRq9V4eHjQSBTZD+T18DCborl16xarV6+28BQZDAaGDh3K/fv3CQwM5PDhwzavW1paGpmZmTbrLqWkpPDLL788N5vzwT17GHLiBC0lieZAhF6POiGBBQsW2FXDyxrjxo0zi6wDo/fr/fffJ1++fDb3GzRoEI0bN+bQoUO4u7vTtm3bHLeXyczEdcYMXJYsIaN/f1InT35uTTRnZ2erousXzaFkjbJly9Y63tEAACAASURBVBIREcHevXtJS0ujfv36NGzY8F+tY3wdOATFL5F/uxDVhENQ/A9BknCdMweX774jZd48o3A4Cy9yH8eNG8eaNWtQqVQUNBj4URCop9PxIbD62TYFCxYkMjIyV1Mg1jh8+DC9e/WivSQx0WCgMrAD49TTSUFAoVRSt25dtm7dKk8ZLFu2jEmTJj237cqVK5OSksK9e/dQKBQMHz6cyZMnWxVqLlq0iClTppgtCwgIYOfOnRaem6lTp7JkyRKzt3+FQoH0LOOykyiShDFh3FGMRtXFixeJi4ujbdu2VpP0ZW3HVN/pRZ9LUxTM6tWradmypfWN0tJ40rw5rlFRtACuZFnVqlUr1qxZ80LHLlWqlFUjMTw8HD8/vxz7nNvvo/LaNfIMHYrw+DEpCxeiy6FafFbGjh3LqlWrzJb5+fkRHm4tXePLw/Gbaj8OQbEDB/9lJAm38eNx2rKF5HXr0L3zzktpds6cObRo0YLUffsI2rGDKJ2OmkDW1HDx8fFcvnyZWtnc//Hx8SQkJFCiRAmzCJTo6Gg2b95MRkYGjRs35t133wWgpZsbj318UEVHsxhoizGBnun8OnXogKenJ/PmzaNHjx6UKlWKyMhIu87jypUr7Nq1i0qVKuHq6mqmp9DpdKxbt46oqCiKFStGnz59UKvVhISEkJaWRqlSpShfvjyrV6+mZ8+eZoUQrQkxTcaKJEm0xVhs8udn6/R6PYsWLeLs2bM5GjamdtLT0+06P1uYBpZRo0Zx9epVi/WK2FjyDB6Mc1IS1QWB21nefdVqdY5GyPMoU6YM165dMxvcFAqFnKjxRQpKGgwG1q9fz7Vr1/Dy8qJvx44U2bAB1/nz0bZoQcqOHUjZqnXb4qeffmLnzp0Wy6Oionj69KlNDY2DNxOHcePAwb8Q11mzjIbNjh3oX6CgpC0EQeC9jAzybNpERr9+dNm/n1v37llsl3VqRRRFJkyYIFcOdnd3Z+XKlTRp0oTz58/LGY7BmG9l5vjxfHT/Pk7r1pEZFEQzg4GIbAUkFQqFnB9GoVCwePFi9u3bZ1OnY43Lly+b6V3AOFh269aN06dPI4oiSqWSVatW4e3tze+//w4YsydfunQJhULB7t272bRpk1yAsmvXrmzfvp2IiAiUSiWiKMpenADgR4xTeFlNlMePH9vM7ZJbVCoVLi4uZGRkyJmOrb0pP3r0CL1e/6dBIUk4rV+P2+TJ6GvUIPPQId6aOpV727ejUqkQRREfHx8++uijF+7b/PnzadeuHVqt1syz9cUXXxAWFsb69etzFeIsiiK9evXi2LFjaAwGPhQE8n31FZqiRUmZP5/Mjh3tnoL95ptvmD17ts38OnFxcQ7j5h+Gw7hx4OBfhvOPP+ISHEzy+vUv1bABY3I79zFj2Fa/Ppe9vGjWujX3fvhBHqyUSiUFCxY0C51dtmwZq1evlj+npKTQs2dPwsLCGDt2LDqdTh5UugN9Z89GKFuWpNBQ9P7+ePbrhyomxsJggj+NKIPBwCeffJKjADg7Js+SKXxaFEVOnz7NqVOnzNq9d+8eMTExZvuaBL8RERHs2rWLunXrolAo8PLyYtOmTezYsYPLly8TFhbG9evXqSRJ/A9YBnyWrR/+/v7ExsYSHx+fo8veNAWWXUlgMj4kSZKT5R05ckROpDhy5Egzj48gCHh5ecmGjRAXR54xY1CHhxuLpfbvDwoFISEhvPfee1y7dk0OzXd9jmYlJ6pVq8aJEycYOXIkERERcskOURQ5evQo+/bt47333rO7vQMHDnAiLIwBoshkjPqvz4DVDx8y8MYNPnlmnD6PuLg4Zs2aZVNgrlKprIZoO3iz+U9qbpKTk3Fycnrp7ZoSj2m12hwjMf7pqFSqHFOk/9P5J99HRWgoqqAg9MuXI2bT2GQnt/dRERyMYvx4BgsCq5VKBEGgcOHCNGjQgE2bNgFGXcWOHTvMUrY3b97cqmZBEAScnJzIyMigOLAcaApMA2qtX0/msxT2pUuXplGjRiQmJgJYiFJN2NItKJVKC6MhICCAsLAwHj16RKdOnThz5gxgDLNOTEy02wPk5OSEp6enXMvJ39+frVu34uHhgb+/P1FRURTV6TiJUWPzPsZpqew0b95cjtQxVefOnvU263VTq9Xo9XqGDRvGxIkTOXv2LC4uLtSrV8/it23nzp0EBQXJU2+SJLFr1y6aNGmCYssWVB99hOTri/7775FySLT4sggKCmL79u1my5ydnZk6dSojR4602N7q91Gv58gHH1Bx82bcMKYgCOFPj5harWbs2LEWWilr/PzzzzS2oclRKBQsWbLklWQEzorjN9V+7B27/5OeG61Wm2PNmBdFqVSi0WhITU39ZwtRn8N/Qfz2T7yPqtOn8ejdm7TJk0n/v/97bg4bu++jJOHyzTe4fP01PYDNogjPBt0HDx7g4eHBnTt3SElJoXDhwigUCrN2bQmLJUkiIyOD9sD3GIWrVYDbggDPtCwGg4FatWpRsGBB4uPjbecxEQSr51KqVCnc3d3NMsIKgkBUVBRxcXH07t3bLCHeo0ePcnXPMzMzzYoYnj9/nl69/r+9+46rqv4fOP46d8NlKAquxBmaSo7cC8VF7oEzB2lqzlL7mvWrxLJhllpq4d4NtdJyoigqiLkTR2aKuAVUROZd5/fHlRtXhqgow8/z8eCRnHvOuZ9zP51z33zG+zOQ999/n1OnTlESCMY6u+t1oLibG+3atWPt2rV2D/kdO3bYvgDSlxXImHVXkiS730uUKMHMmTPp0KEDzs7ONG3aFMj62damTRuCg4PZuXMnCoWCzp074+XuDv37o9q0ieR33yVl7Fhr3pdncF97enpmWjHbaDRSpkyZbINT2/1oNKLZuBHHGTPwvXaNTyWJ2bLMg0cZjUYWLFjAxIkTH1qeEiVKZFrKQZIkypYty6JFi2jQoMFTf97l9l7cs2cP4eHhODo64u/vb7cuV0GWl8/U3AY3Ty+HsyAIz4zyn39wGTiQ1CFDSBkz5rHOcevWLSZPnky3bt14++23rZlzZRnHjz/Gcc4cfgsI4PcHHixGo5Fz587h5ORE6dKlsxwzMXTo0CyDEjXwPbAOmCNJ+GIdmJyeuC+9u+rIkSP8/fffti/8rP7yy+6vwejoaE6dOmX3uizLxMXFceLECfbt25dpIUr472GsVqspWbJkpsGukiTZtmVsXTEajezdu5eUlBSKAVuAO0AvwMh/CxFmNXhWluUsBxU/uLaVxWLh+vXrNGvWLMtrzkrt2rWZNGkSEyZMoMalSxRr2RLl338THxxMyltvZZnQ7t69e3z00Ud0796dMWPGZLmi+OMYN24cnp6ets9XpVLRoUOHnJegMJtR//47xVq1wvnttzF07kzC8eMc6diR5Gy6nrJarTwrpUqVIjAw0BZcajQaHB0d+eGHH7LN9Jwf5s+fT+/evZk/fz4zZ86kRYsWtozQQmbPZcuNIBQpFgtOY8dibNqUpE8+eaw8NgkJCbRt25abN29iNBo5ePAg27dv5/g771Bi4ULurl2LxWDAsGyZ3XFqtTrT6tUPat++PUFBQUyePNkub80CwA9oCURkaFXJ2EoBOSfbexIJCQkolcosuwNmzJhBdHQ0ZcuWpV+/fixatIiFCxeSmppKpUqVaNKkCV5eXrzzzjtZnlu7Zw+nJYmbsowfkD4BOjY2ls8++yzbL97cXmt619SjUP7zD/qpU1Hv3k3KyJEkv/ceZJP8LjU1lc6dO9uSESqVSrZs2cKuXbuo9IQ5jFxcXNi5cyc//PADN27coHr16vj7+2c9mDg5Ge3atRAUhP7aNVIHDeLu+vXIHh4ALF26lLVr1/J///d/3Lt3z/b5qdXqXK33lW706NHUrFmTsLAwW6tI+fLln+g689KNGzeYNm2aLQAGayD+zjvvsGnTpnwuXcH0XI65EXlunszz0C1VmOpRu2oV+g8/JP7AASw5pOZ/UMZ6XLRoEYGBgXZdGlXVak5IEuYPPiB11ChkWWb48OFs3rzZFoS4u7sTEhKSY9bcdFeuXKF+/fqYzWbeB97DGthkvUrS0+fj44OHhwcbNmywBRtqtZqOHTvy3nvv8e+//1KmTBm8vb2z7Q4bOnQo27Ztsx2vA2YDw4GtNWsyOjaWyxm6rXIjfQZYem6cYsWKcefOHVsQplar6dKlCwsWLAAefj9Kt27hOHMmuuXLMbZqRdK0aZirVcuxDL/99hujR4/OtETAoEGD+PLLL7lx4wazZs3iwoULVK9enXfeeSd3ifVySYqJwWHpUnTLloFSiWL8eOL798eUzcr158+fp3///kRFRQHQunVrli5daluVvKB7WB0ePHgwy8HWHh4edstFFFQiz40gCI9EunMH/fTppEye/EiBzYMeDPgVwBKjkagyZfAYOdL6XpLEwoULWbduHadPn8bd3Z2BAwfm+kvtr7/+QpZl+gHTsGYazi6wSR9gmd2g2rywZ88enJ2d6du3Lxs3bkSWZbp27Ur58uVp0qSJrVWnX79+fPPNN1m2LMybN493332XdevWUdlsZj3gjDVo23/qFPv27aN169a5HiyqUChsLTtXr16lcuXK+Pv78/HHH9vWi+revTufffbZw09mMKBbuhTHr77CUro0NxYvJq1Vq1x94cfFxWUa5Goymbh58yYxMTH4+vraAq79+/cTHBzMrl27njiYUP7zDw7ff4923TrMnp4kffABpn79KF6mDPKdO5DNF2OVKlWIiIjgypUraLVaSpUqlW1AWhiVL18+07ggpVIp1qPKgQhuBKEQ0wcGYvHwIGX48Cc6j7e3t91fVJMAb2D9G2/QI8OXukKhyHFV5wclJydz/PhxZFnm9OnTtFKpWG4w8Daw+f4+Dz60dTod/fr148iRI1y+fDnHVbmfVPp6Uxfu59HZv38/3bt3R5Zl2xf7+vXradCggd2MmbS0NObPn8+RI0coVaoUI4oX54u4OHYDAUA81i+fS5cu4ezsbJvpldGDgVvNmjV5++236d69e6Z9p06dSrdu3QDr+JmMSRAzkWU0wcHoP/oI6e5dbr71Fr22biXi9dcBaNu2LQsXLswxb4u3t3emGWNqtZq6deuybNky4uPjbZ9PeiC2bt06Xr//Ho9EllFFRODw3Xdot2/H2LQpCUuXYmzbFhSKXE3nhqL9ZV+mTBkmT57MzJkzUSgUtjFfX3zxRX4XrcASA4oFoZBS792L9qefSJw9G9RqLl68SK9evahRowZt27blwIEDuT5Xp06dGDBgAAqFgvpqNdOBxfXq0W3sWMC66KGvry81a9akT58+XL582Xbszz//TJMmTfD29mb06NEkJCQAcPHiRRo1akS3bt3o3r07v86cyc8GA99jnbYL1i9MvV6PSqWyDTBdtGgRM2fORK/X2871NJ09e9b278OHD2eajWEymVizZg03b94E7i8q2b8/X331FbuDg2mwejXfxsUxXZLojjWwSd/vhRde4N1337Vr9VGpVHTv3h0vLy9UKhUeHh4sXLiQ0NBQW2BjsViIj49HlmUuXLhAs2bN6NGjBz169LBNMU935MgR5s+fz5IlS4jftw8Xf3+cX3+dND8/7vz5J922buVwhoU09+zZk+WU64waN27MhAkTbNP1lUoljRo1YvTo0VnOKJMkidjY2Fx/5vc/IDQbN+Lq54drjx7g4EB8cDB3N27E2L49PEJCv+dB+tIQw4YNY9y4cYSGhj50FfbnmWi5EYRCSv/RR6S+/jqm+vW5desWr776qu0v6ri4OHr06MH27dtz9QCUJIlZs2bRp08fak+cSIy7OwH31046cuQI/v7+tplKt2/fpmPHjoSFhREcHMz48eNtLRAbNmwgKiqKTZs20bdvX1v+F4AZsswxrK1CYA1sSpcuze+//86xY8dISUmhYcOGVKxYkaioqGyDM09Pz0xJ9Z6Ep6en7d+urq5ZdiEdP36cZs2asWXLFq5fv054WBjdZZlPARdZpo0ksV+pRJ1hMPSQIUOoUaMGNWrUwMnJiRUrVmA0GunSpQtjxozJtkVi/fr1TJw4kZSUFFxcXHB1deXmzZu21q24uDgGDx7MgQMHWLNmDRMnTqS2Usm7ZjOVLBbutmwJYWFYKlfm7t27HDp0yO78RqORbdu2YbFYcswI/N577+Hn52db2sDHxwelUknNmjVt2ZfTmUwmatWqlavPW4qLQ7d6NboVK1Dcvk3qgAHcW7gQSxFtdclLfn5++Pn55XcxCgUR3AhCIaQ8cwbVqVMkLF8OwObNm0lISLB9MadPp169ejVffvllrs/bpFo13C5c4O6sWZgkiRs3bvD+++/bTcE2mUzcunWLUaNGERoammkq9OHDh+nfv7+tqyddWWA9YMEaTHXt2pUZM2bg6upql69jw4YNvPnmm9mW8fLly3h4eHDnzp1cT/fNjlarJTAw0Pb7yy+/nGVwY7FYSExM5K233uKD5s05gDUnz1zgC+COLFO7Zk1at27N3bt3adiwIb169bId37dvX/r27Ut4eDiBgYEsWbKEl19+mZkzZ1I6w1ip/fv3M3r0aNtnnZCQkKn1ymw2c/78eS5fvsyaSZNYa7HQw2IhGGitUGBIS2NT5coA2QYvuR2PUrdu3UwriA8ePJiQkBB27tyJWq3GYDDQv39/Xn311RzPpTp2DN3ixWg3bMBStiypw4eT2r9/rtd+Eqzj1iIiItDr9XTs2DFXA/mfVyK4EYRCSPvbbxjr1sVSsSJgHdvy4BeZ2Wx+5Flt6t27kV1cMNWvz8mTJ+natStJSUmZpiibzWZCQkKyHey7Z8+eTNvcsOZ8AWurTfv27XF9YPbLxYsXefPNN3OcUSHLMjExMfj5+REdHY2TkxOyLHP48OFsj8lqYHK9evVYtGgRZ86c4bPPPrOtJZWeSfVBL5rNfHz8OH5Hj7JUlukBXM1wPY0aNcpxRfLDhw/Ts2dPW+AZGxvLq6++yr59+2wDcbds2ZLt9PSMmkoS5UaO5KDZzO9AE+AggMVC8QxdVs7OzrRu3ZqwsDC7GWE9e/Z8pHWcMlIqlaxcuZLQ0FCuXLlClSpVaNq0adYBk8GA9vff0S1ejOroUYxt2pCwciXG1q0LRbfThQsXuHnzJpUrV6ZUqVL5WpbVq1czadIkNBoNFouFzz77jK1bt1Lx/jNAsFfw/+8SBMHm3r17vDV+PDfnzuWbmzfZunUrAE2aNMk0AFSpVNKyZctHOr8mOBhDmzagUjF69GiSk5OzXUzwYStYP8gNuH3/37Is88orr2Ta59ixY7keQLpt2zb8/PzYsmXLQ9f+USgUqNVqtFotCoWCuXPnWtcmCgvD39+fH3/8kZ9++onVq1dnKrsH8B3WLMN6rZb43bs5/957XJMkdDodKpWKqlWrMmXKlBzLsGjRIltgA9ZWrps3b7Jjxw7bPlkFCOlTwwFaASGSxD5ZRlu8OHWAbtwPbO4f/+BnsXjxYtq0aYNSqUSlUtGjRw9mzpyZY1kfRqFQ4Ovry+DBg2nWrFmmcks3bqD59FPc6tRBP3kypvr1uXPgAAk//oixTZsCH9hYLBbeeecdGjVqRNeuXalduzZr1qzJt/LExsbyzjvvYLFYSE1NxWAwEB8fz6RJkx5+8HNKtNwIQiFhMpno3bs3yr/+opLJxJxr17g2ZAgrV67Ez8+PWbNm8c4779haPd544w369ev3KG+AJiSExPvdWOfPn8+zPD8SUBxrcKPValm4cGGWM1ucnJweaY2db775hpdffhl/f382bdqUbRI8V1dXpk+fTlJSEg0aNECr1dpleH1w/AiAAzAReBdr5uTOCgWj1qzBXKMGE2vUoGXLlkRGRuLm5kaHDh3QZZMQL11CQkKm8ikUCiIiIti3bx+JiYnExcVlun6FJDGnY0ca7dxJ7ZQUTtaqxZ3vvkOuXp3Wn35K5Lff2taikiSJzz//3O54FxcXVq1ahdlsRpKkx26xyQ3lkSNc/t//eCkykn+Ate7udFi/Hq/7i5QWFqtWrbILZsxmMxMnTsTb2ztfBvFGRUVluhdNJpPIUJwDEdwIQiFx7Ngxjhw5whfAPu53icgyc+bMwc/Pj4EDB9KhQwcuXrxI6dKlHznDqurwYaSEBGuXAeDu7s7Vq1cfclTulHVyQpmYyIxZsyjRuTPF74+zMJvNti9lINeDUtMpFAr2799PixYtcszuW6VKFfz9/QHrquRNmjTJdnZPWWC0Xk9AUhIyMBZYAyBJjMqwX/369alfv36uy+rj40NoaKhd8GIwGFh+f9xUptW+gQBnZ2Z4eFB82zbS+vYlYfx4XqhUybb45vvvv0/dunXZtm0bjo6ODBgwINsv34e1iMXExLBr1y5MJhMtWrTI/bRqgwHtH3+gW7IE1eHDhMkyE4BdALGxTH/1VZo2bcqnn35qt6BqQbZ3795MQaZGo+HgwYP5Etxk1TKZVSud8B8R3AhCIZGek6WixWKX/C7juBp3d3fc3d2f6H3k+y0Q48aNe2hXS245lSqFoXZt6i9bRkLr1twwGhk5ciT79+9HpVLx+uuvExgYyNGjRx8p+ZokSej1etavX5/tPhqNhqCgINvvR44cISYmxq61Rou1e+d1oB1g8vDg/6Ki+I7/VpqWLBamTJmS5QrnuTF8+HAiIyNZu3YtgG3G0YNBjTswAhgFlLZYMLRuzZ3Ro7FkEaxKkkTfvn3p2LGjbdvt27dZvHgx169fp1q1agwdOjTbxUvTnTp1im7dupGSkmI77+rVq2nVqlW2xyiuXkW3YgW61ashNZW0fv14zWhkXYZp52BtFdu/fz9+fn6EhoZS+f5g54LMxcUl0zgts9mMXq/Pl/KUL1+eESNGsGTJEsxmM0qlEkmSmD59er6UpzAQwY0gFBK1atVCo9HgkJpK6v1tarWaFi1aPNJ5Tpw4wYkTJyhXrhxNmzblzz//5KuvvkKOjSXCYiHt1Cm0r7zCmjVrcswQnNvswQqFgtIvvMC9oCCc33iDYj4+fO7qyoHr17FYLBgMBpYsWYJOp6N27dq5Dm7Sx5D079+fTz75JNv9WrdubTcbK2OZG2BNutcf6wDEdQoFez7+GLlRI75+YG0iWZati4k+JqVSybx585gwYQKxsbGoVCq7oKQuMO5+WS4DM4COS5dS39c31+9x69YtfH19iYuLw2g0olKp2LJlC7/++muWi3WmGzlyJImJiXZdH8OGDePs2bP2x1ksqPfsQbdiBZqtWzFXq0byu++S2qsXODlxqXPnLM9vsVgwGo2sXLnSbnZaQRUQEMBPP/1kGyOlVqtxc3N76Iywp2n69OnUrFmTffv2odfrGTx4sMhzk4OCPapLEAQbDw8Pli5dil6hsAU3DRs25MMPP8z1Ob7//nvatm3LlClTGDBgAM2aNaN3794cOHCAA//+Sywwb8wYTCYTZ8+ezTZ4kSQp2wy3rq6uti4QpVKJUqkkMTGRki+9hEN4OO/fu8enly+zyGQiPVm/yWRi5cqVNGnSBEdHx1yNC3nppZfYvHkzlStXpnv37tkGRdu3b/9vHIos01StZpZWy1ngAPAiME6SeL1DB7z37+flkSPxrFAhy/O5ubk9tFw5uXXrFhs2bOC3337jxIkT6DUa+gBhwFGsXWI9gWpYp5m/8IjdOPPnzyc2NhaDwWBbWf3QoUM5Lq4oyzLnzp3LNKYjISHBlqdIiovDYe5cijdqhMtrr4FGw93ffiN+zx5ShwyB+7O9evXqlW33l8VieSZJGfNC7dq1+e2336hTpw5lypShZcuWbNu2LU/Xz3pUkiQxYMAAvv/+e7766isR2DyEaLkRhEKkXbt2ONatS+mXXqJZQADe3t65HiD6999/M3XqVGRZts2sunTpkl23yN+A+vx5Dh06RIkSJbJtqdBoNIwcOZJly5ZlGrty9+5dxo0bx99//83hw4e5c+cOR44cAaw5bmbIMjuAH4DjwACss33i4+MpWbIkv/zyC0OGDOHatWsolcosMxWrVCqmTJmCt7c3AHq9PtsxNwogatUq9MnJaDZvRnH1KgG1avHtlSssunOHqwoFY8aMYdYHH9g+y4wrTGeUmpqaaVtu3bx5E19fX+Lj4ylhMlEeuKBQ4AAsB4YC/zxwTEJCgl0enIe5fPlyptw/KpUqx7FTkiTh5uaWeX0xSaLMv//iNH062j/+wFKmDKmDB1tz02TT9RkQEEBMTAyzZs3KFBhLkkTDhg1zfS35rXHjxgQHB+d3MYTHJFpuBKEQuXr1KtF//83SH37A39+fhQsX5jiQNl1wcDBdu3bNtO+Dv58BXpIkdu/enePgXrPZzOzZs7MdlLtu3TquX79OYmJilq8fBephHXQaDgQCZWUZZJk6depw/Phxzp07x5UrV2jVqhVqtdrueJPJxODBg/nmm28AWLhwoe01N6A58CawFLgCrIuLQ3n6NCnjxnH7xAmMu3bx5tmz7P73X65cucJHH31kC2yMRiOrVq3KstxPEtzM+vprvG7dYrHBQJTFwgCLhelmMxWUSsaTObABHnldLS8vr0yfldFopGrVqjkeN336dFtLlSswVpK4VqIEHn37IqWkkLBqFXcOHiRl/PhsAxuwBjDvvvsuV65cYdKkSUiSZGvJGTRo0COtSyYIT0KSc/NkLGIe/Aslr+Tlsu4FmbOz8yMnhytMHrUeZVkmIiKCq1ev8uKLL1KnTp2nUq6UlBRatmzJsuho/pRlptwv68yZMxk0aBBgHU/zzz//UKZMGVtitUOHDtG5c+ccu5jSHwMDseZ0qQ1cvj/Wwmw25yqAelw9gDmAJ2Bxdsbi6Ym5fHks5ctj9vQkzsmJ4R9/zL2EBLRmM46AI6C//98Af3/Obt2KZ1ISNYBSgBn4FziMNYC6UKsW63bvfmhZzGYzvXv3JiIiItNsGbVaTevWrR8534kUG4tu7Vpiv/wSz+RkIkOtjAAAIABJREFUtmDtctoB5PSpOjg4cOLEiYd2hWS8H5OSkujYsSPnzp1DoVBgNpvp3LkzCxcuzHkskyxzfMECpEWLaH7lCiZnZ6QRI0gdOBBL2bKPdL0ZRUVFceHCBcqVK0f16tUf6xzPw3NVPFNzr2TJkrnaT3RLCcITMJvNDB8+nE2bNqFWqzEajYwaNYpp06bl+XsdPXqU6OhoNskyQ4Ep999/+fLlDBo0iM8//5zZs2ejVqsxmUy0bduWFStWsHbt2iwDm/SVhatXr87JkydRKBT8DAw2m1kK+JpMyOQ+Vf/j+u3+z6BGjZg7fjzK6GiUly+juHQJ9Z9/4nn5Mjvur6ptBpKBpPv/TQbYsoXSKhV7gCDgNNZWkIw5hhvlcpbL77//nmVgA1CpUiVmz54NWL+0R48eTWRkJMWLF+fDDz+kT58+/+1sNqPetQvdmjVotm/HUq4cf9WsSetjx7iYizw+Op2OZcuWPfIYD71ez/bt21m3bh03b97Ey8uLLl26ZFuHUkIC2vXr0a1cSZvTpzH6+pI6fTqGdu0ghwHIuVWpUiUqVar0xOcRhEclghtBeAKrVq1i69atyLJsS9kfFBREy5YtadOmTZ6+l8lkQpIkfpdlvgKqYm2dMBqNhIeHM2fOHLty7N69m8WLF3Pq1Kksz1e5cmUWL17MokWLiIyMxGw2o3FwYGhKCiexJq/7gsxdV7mV3s2TVWD14EwrSZJoMWwYw379lcuXL/PSSy/xf7Nn2/LhkJSEf79+7MliMc2Xq1alZs2a/Pjjj9mWJbettdHR0Vkuf+Dj48OaNWvQarUkJCTQtWtXW8K9GzduMHbsWJydnenk5YXu55/R/vQTitu3SevUiYSff8bYvDk17t5FbtcOzf1xTCaTKcvPplixYoSFhT12un+dTmdrycuS2Yx63z60a9ei3bwZi7Mzaa+9RuqqVVlONxeEwkgEN4LwBI4fP56pmVWtVvPXX3/leXBTp04dXFxcOJ+QwBmLha7AXLWaLl26cPz4cTQajd2YEKPRyLFjx7LNnNuhQwd27Nhhy7sC1q6vK1inR68DTgGbMnRbZfSwqeCyLOPv78+GDRsyDXLN6rg333wThUKByWTi2LFj7N27l127duHk5ERMUhLO2TRH9+jRg+MP5FZ5UG4H5VasWDFTfWo0Gho3boxWqwVg3759dpmEXYG+sky9sWNxS0jA5O1NyvjxpPXqZbcoZPHixQkNDeWnn34iLi6OGjVqcOTIERYsWGB7T0mS+Oyzz57KOkbKM2esAc369Shu38bQvj33goIwtG0LD4zTEYTCTgQ3gvAE3NzcUKlUdl/esiw/ldV6XV1dWb9+PQMGDOD3mBi6ATf79GHChAmsW7cu05eySqWiZMmSlClThrCwMLsARalUUrNmTYKCgrLsgtkATMWambeZLBOZRXnGjBlDZGQkarWaQYMGERcXx+TJkzGZTGg0GmbPnk2fPn24du0a4eHhOV5bej6R9KDHaDRy5coVNmzYQMuWLfH19c1yGnGvXr0YO3YsgwcPzvbckiQRExPD9u3b6dChQ47l6Nq1Kz///DOhoaEoFApkWaZSpUp2q5QbDAZUWJP9DcGa/O8OsNvJibJ//IE5h+nbTk5OvPHGG7bfu3TpQsWKFdm8eTNarZYhQ4bQvn37HMv4KKSYGLS//opu7VpUkZEYGzQgZdIk0rp1E6txC0WaGFCch56HgW8gBr9ldPXqVXx8fEhKSsJkMqFWqylTpgyhoaHZ5oF5Umazmfht2/AaOpT4Xbsw16xJUlISbdq04dKlS7bkbTqdjtDQUOLi4vDz87M7h0ql4ty5c/Tu3TvH1bTXYP0SHwf8nGG7Tqdj2rRpDB061G7/lJQUYmJiKFWqlK3F6JtvvuHzzz9/5HtCp9Pxv//9j5CQEPbv35/p9U2bNtGoUSMAfvjhByZOnJjje0iSxLx58+zHxmTBbDazdu1azp07R9myZRkwYACOjo5gMqEOD8f000+Y1q/HBWsQuBLYrVTy0ccfM2LEiEe6xryQ6X5MTka7dSvatWtR79mDpVw50nr3JrV3byxVqjzz8j2p5+G5Kp6puZfbAcViKrggPIFy5coREhJC9+7dqV+/Pv379yc4OPipBTZgfVCU6NgRQ9euOI8eDWlp6PV6tm7dysCBA2nQoAFdunRh586dVKhQgc2bN2fKTitJElu3bmXo0KE55skZAswGVgC/A+Xubzebzf+Nh8nAwcGBChUqoNPpiI+Pp2fPnkyfPj3HB5pCoUClUmUqo8FgoHbt2hw7dizL4zIGZf3792f8+PG2gbNZdcXJspyr7LhKpZL+/fvz0Ucf8cbgwbhGROD09tu41ayJS//+OMfHc2XMGKo5OzMA2AYMGTbMrkXmmTObUe/di9PYsbjVqIH+3Xcxv/ACd3/7jTuHDpE8ZUqhDGwE4XGJbilBeEIVKlTg+++/f7ZvKkkkfvklxVq2xPGLL0ieOpXixYvz5f0VvTOKjY3NvNK0QkFcXByjRo0iKSmJGTNmZNmiaQI+xzqbaTHWmUjvKRTsrFAhU2vQg0aPHs2BDAOApWzG7tSqVYvvvvuO6dOnExwcbOvmGzNmDD4+PtkGX+ljYNLP/f777zNmzBjbeJjmzZtnOubu3bs5lhmsM4jUe/ag2b4dzbZtSKmpGHx9SZo+HUP79siurlQAIt57jytXruDm5pZloPfUWSyoDh1CGRxM8XXrUMTFYWjblsS5c62znR6ySnlhYzab+frrr1m5ciVms5kuXboQGBho9/+BIKQTwY0gFFJy8eIkfvMNLv37Y/T1xZjNGlPe3t788ssvduOCjEajLR9PQEAAAQEB3Lhxg2nTprFp0ybS0tJsgYhKpaLNyJF8dv48zSMj+ermTRRqNYaNG0nr0QOy+HIxm82EhITYDRzOblDyp59+SrVq1Vi5ciX79+/n2rVrdvmCWrVqxebNm+2OkySJdg+s/QTWcUmurq4YDAZcXFzsxukolUpeeumlzB+QxYLy5Ek0ISFodu1CdegQsqMjRh8fEmfOxNiuHbKTU6bDtFotVZ51a4jZjPrAATS//27Nthwbi9yiBckTJljH0Tzh8hAF2eeff863335rC9RXrFjB7du3WbBgQT6XTCiIxJibPHLy5En27dtHsWLFaNWqVZFeil70Dxcs+o8+QvPrr8Tv2YOcxUDm9Gy+ISEhqNVqDAYDw4cP59tvv82yHm/evMmoUaP4888/0el0jBkzhgkTJti6fBTXrqFbuNC6GrRGQ2pAAClDhiBnmOFjsVgoV65cloOVM/Lx8WHt2rU5do3Fx8fj5+fHhQsXbDO0vv7665ynOwNhYWH079/ftvK2q6srf/zxB1WrVLHl0FHv3Ytm1y4UsbGYatXC0KYNBl9fTA0aFJwZRAYD6rAwNJs3o926FenOHYwtWpDWpQuGV1/FqVIlrl+/jlqtLpKtGEqlkmLFiuHk5ERycnKm1y9cuPBUu4GfBfFMzb3cjrkRwU0e2LhxIyNHjrSNGVCr1WzcuLHILmwmbsQCJi2NYh07YilenITly22LGGZksVjYt2+fLYtygwYNnrweExPRrVuHbuFClJcuYejUibRu3TC0agV6PWPHjuXXX3/NNA08I5VKxZdffvnQQCU1NZXQ0FDi4+OpW7cu1apVe2jx0hfs3LZpEx7XrtFUlnE5eRLVn3+ivHEDi7s7xqZNrQFN69bIj7CG01OXkoJm9240f/yBJjgYKTUVo48PaV27YujQwTbT6dKlSwQEBBAZGYkkSbz22mvMmDEDjUaTzxeQd9KDG41Gk2WwfOrUKTw8PPKhZHlHPFNzTwQ3OcjL4CYlJQUvLy+7/CIKhQIvLy/27duXZ+9TkIgbseBRREfj0rcv6HQk5DIZ25PW4z///ENoaChqpZJeLi6U27ED9f0vYnONGqR6e/PTv//y3aFDRMoy2bXh9O7dm+++++6xy5EuNSWF3atXI505Qy2lkpcsFrT//ot8/DhScjKmatUwNWyIsUEDjI0bY6lYEZ5y9uVHkpSEJiQE7f2ABsDQvj1pnTphbNs2U9eY0WikRYsWREdH27701Wo1w4cPfyoZsvNL+v3o4+NDRESELVhWKpVUrFiRiIiIp55F+2kTz9TcE8FNDvIyuDl//jyNGzfOtF2r1XLlypU8e5+CRNyI+Ss+Pp6zZ8/i4uJC9erVbQ92KT4e5+HDUZ08ScKyZZiy+P8yoyepx23btvH666+jVCqRZRmNRsOGDRuoXa0aqqNHUR87hurYMVR//YXy4kVSgGPAX8B14Ob9n1sKBS38/Zk4Ywbo9VkHG7IMJhPSrVsoYmP/+4mLQ4qNRRETg3TuHMYTJ3CyWEjBurq5oWpVGgUEcO/FFzHUq4f8iEsZPAvSjRtoduxAu20b6r17kVUqDH5+GLp0wdC6NTg4ZHvsmTNnaNmyZabtpUqV4uTJk0+z2M9U+v149uxZ/P39bddWvnx51q1b9+zHPT0F4pmae2JtqWekVKlSWWZqLezNpELBtHv3bgICAmxjD1q3bs2KFStwcHBALlaMhB9/RB8YiGvPniTOmEHaQ7p7HofBYGDkyJGYTCZbi4HJZGL06NGEh4djatoUU9Omtv1H9elDwu7dNABqAdWxLm7pAZS0WGDtWli7FlmjsQY3sgwWC1gsSFlkMpYdHLC4u9t+ZHd3gvV6lkoSJ4CLgAVQXLjArubNefnll5ELSpAqyyj//hvNtm1otm9HfeQI5tKlMfj5kbJsGcbmzXM9yynb9aIKeStGdjw8PNi5cyf//vsvJpOJF198sUh1vz1McnIyH3/8MSEhITg5OTFu3Dh69uyZ38UqsERw84ScnJz44IMP+OSTT5AkyTbddcaMGfldNKGIiY2NZciQIaSkpNi2hYWFMX36dD799FPrBpWKpOnTMVWvjtPkyajOnCEpMBDy8Evg+vXrmQZ2WiwWLly4kOX+9zQagoHgB7bXqlWLb7/+mtply1pbYG7ftgY3kgQKBfL9/6JQgFKJpVgx5FKlkLNo4fmmXz9Cslg24fTp0/k/9i0pCU1YGOr7s7GU0dHWwct+fiTOmIH55Zcfq3usatWqeHl5ERUVZeuqUalU9O3bN6+voMBQKpW5Gm9V1MiyzODBg9m/f7+trkeNGmVbxV7ITAQ3eWDcuHFUrlyZnTt34uLiQrdu3ahXr15+F0soYiIjI0lLS7PbZjQaCQ0NzbRv2sCBmKtWxWXoUNQHDnB33bosZ1I9jpIlS2bZWpndkhN37q/onZFGo2H06NF416uHBaB0aZ6kbaV8+fKoVCq7Aacmk4myZcs+wVmfjGbjRnSrVqGOiACVCmPz5qSMHo2hXbs8WaBSpVKxbt06RowYwcGDB1EqlQQEBDBlypQ8KL1QkJw7d449e/bYbbNYLMyePVsEN9kQwU0e6dSpE127di3QYzWEws3JySnLBSedspgdBWBq3Jg7+/ahW7EiT9cR0uv1fPjhh3zyySfIsmzrBsmutbJWrVocO3YsU54dLy+vPCvT22+/zYYNG0hKSsJoNKJWq2nYsCGdO3fOck2qZ0G6dw9zjRqkjBuHsXHjLPMBPamyZcuyZ88e4uLiUKvVOU6pFwqv7MbjFOVxOk+q0Ac3iYmJzJ8/n6NHj+Lg4ECPHj3o1q1bfhdLEPJcvXr1qFOnDqdOnbIFCpIkMW7cuGyPkUuUIGXixDwvy9ixY6lQoQLbtm1DrVbTp08fmmYYZ5PRe++9x549e7h06RJKpRKDwcD48eOpXbt2npWnXLly7Nmzh6CgIK5fv463tzdjxoxBqVTm2Xs8qrSBA0l7+G55oijmtxH+4+XlhZOTE4mJibZtarWaZs2a5WOpCrZCP1vq66+/JiUlhYkTJxITE8OHH37I22+/zSuvvJLtMWLhzCcjRvbnn7t37zJlyhT279+Pq6srkyZNeuxg/lnWY1JSEn/88Qe3b9+mdu3az+ShXJDrMS+J+7Hwy00dhoeH89prr5GcnIwsy9SrV4+1a9fi6ur6jEr5+MRsqUeUmppKeHg4s2fPxtHRkYoVK9K+fXt27NiRY3AjCIWVq6vrs1/HKg/o9Xr69euX38UQhEKrWbNmHDt2jNOnT6PX66lVq1amxWaF/xTqT+bq1avIskyFChVs2ypVqkREREQ+lkoQBEEQ8l7x4sVFV1QuFergJjU1FUdHR7tter3ebqosWLuhMnZFKRQK3N3d87w86f37+dnP/yxIklSkr1HUY9Eg6rFoeB7qUdRh3ivUwY1Op8sUyCQnJ+PwQFbPX375hUWLFtl+DwgIYOzYsU+tXC4uLk/t3AXF85A8S9Rj0SDqsWgo6vUo6jBvFergply5coB18ThPT08AoqKibP9O16tXL3x8fGy/KxSKLHNvPCmlUomLiwsJCQlFduAbWFvHkpKS8rsYT42ox6JB1GPR8DzUo6jD3Cuey7QWhTq40el0NGvWjFWrVjFhwgRiY2MJDg7mrbfestuvZMmSdiOs4+LinupNYjabi+xNCNZsmUX5+tKJeiwaRD0WDUW5HkUd5r1CHdwAjBw5knnz5hEQEICDgwO9evUSM6UEQRAE4TlW6IMbJycnkW5cEARBEAQbkatbEARBEIQiRQQ3giAIgiAUKSK4EQRBEAShSBHBjSAIgiAIRYoIbgRBEARBKFJEcCMIgiAIQpEiybIs53chioq4uDh++eUXevXqletl2YWCR9Rj0SDqsWgQ9Vj45UcdipabPBQXF8eiRYvsFukUCh9Rj0WDqMeiQdRj4ZcfdSiCG0EQBEEQihQR3AiCIAiCUKQoAwMDA/O7EEWJg4MD9evXx9HRMb+LIjwBUY9Fg6jHokHUY+H3rOtQDCgWBEEQBKFIEd1SgiAIgiAUKSK4EQRBEAShSFHldwGKisTERObPn8/Ro0dxcHCgR48edOvWLb+LJeRgzpw57N27F5Xqv9tg/vz5uLu7AxAbG8vcuXM5c+YMrq6uDB48mJYtW+ZXcYX7Nm3axK5du7h48SJNmjThf//7n+216Oho5s6dy8WLFylVqhQjRoygdu3attfDw8NZsWIFt2/fpnr16owfPx4PD4/8uIznXk71+MYbbxAfH49CYf37293dnfnz59teP3nyJEFBQdy4cQNPT0/GjRtHpUqVnvk1CGA0GgkKCuKvv/7i3r17lCxZkj59+uDj4wPk4z0pC3niq6++kj/55BM5KSlJjoqKkgcOHCgfPnw4v4sl5GD27Nny8uXLs3198uTJ8nfffSenpqbKJ06ckPv06SNfvHjxGZZQyEp4eLgcEREhf//99/KXX35p2240GuVhw4bJP//8s2wwGOS9e/fKffv2le/cuSPLsixfunRJ7t27t3z06FE5NTVVXrRokTxp0qT8uoznXnb1KMuyPGzYsGyfn3fv3pX79esnh4SEyAaDQf7tt9/koUOHygaD4VkUW3hASkqKvHr1avn69euyxWKRT506Jfft21c+c+ZMvt6TolsqD6SmphIeHs6gQYNwdHSkYsWKtG/fnh07duR30YTHdO3aNf755x8GDRqEVqvF29ubhg0bsmvXrvwu2nOvadOmNG7cGBcXF7vtkZGRpKWl4e/vj1qtpkWLFnh6ehIeHg5AaGgo9erVo27dumi1WgYMGEBUVBSXLl3Kj8t47mVXjw8TERFBmTJl8PX1Ra1W061bN2RZ5vjx40+ppEJOdDodr732GqVLl0aSJGrUqMFLL73EmTNn8vWeFMFNHrh69SqyLFOhQgXbtkqVKomHZiGwfft2BgwYwPjx4+2C0ejoaNzd3XFycrJtq1SpEtHR0flRTCEXLl26RMWKFW1dGQCVK1e21Vl0dLRd14WjoyOlS5cWdVpAzZkzh4EDB/L+++9z+vRp2/ZLly7Z1aMkSVSsWFE8bwuI1NRU/v33XypUqJCv96QYc5MHUlNTM83d1+v1pKSk5FOJhNzo0qULQ4cORa/Xc+rUKWbMmIFer6dp06akpqbaBTYg6rSgS0lJQa/X223T6/XExMQA1vs0q9dFnRY8EydOpEqVKgCEhIQwbdo05s6di4eHBykpKeLeLKAsFgtz5szhxRdfpG7duvzzzz/5dk+Klps8oNPpMlVGcnIyDg4O+VQiITeqVKmCi4sLSqWSl19+mU6dOtmaS3U6HUlJSXb7izot2BwcHDLVWVJSkq3OdDodycnJdq+LOi2YatSogVarRavV0rFjRypXrsyRI0cAaz0/WI8Z61nIH7Is891333H79m3+97//IUlSvt6TIrjJA+XKlQOwaxaNiorC09Mzv4okPAZJkpDv57SsUKECsbGxJCYm2l6/cOGCXdejULB4enoSHR2NxWKxbYuKirLVWYUKFbhw4YLttZSUFG7cuCHqtBBQKBS2e9PT09OuHmVZ5uLFi+J5m49kWSYoKIioqCgCAwNtwUl+3pMiuMkDOp2OZs2asWrVKpKTk4mOjiY4OJh27drld9GEHISFhZGcnIzFYuH06dNs3ryZxo0bA1C2bFmqVq3K6tWrSUtL4+TJkxw8eBBfX998LrVgNpsxGAxYLBYsFgsGgwGTyYS3tzcajYZff/0Vo9FIWFgY0dHRNGvWDIBWrVpx9OhRjh8/jsFg4IcffqBixYriSzGfZFePsbGxnDp1CqPRiNFoZPv27Zw7d466desC0KRJE65fv87u3bsxGo38/vvvANSpUyc/L+e5tmDBAs6ePcu0adPshmjk5z0pll/II4mJicybN8+W56Znz54iz00BN2XKFNtfFSVLlqRLly74+fnZXo+NjeXbb7/lzJkzFCtWjEGDBtlyNwj554cffuCnn36y2+br68vbb7/NxYsXmTdvHhcvXsTDw4ORI0fa5dQICwtjxYoV3Llzh2rVqvHWW2+JPDf5JLt67NmzJ19//TXXr19HpVJRvnx5Bg4ciLe3t22/yMhIFixYYMtzM3bsWCpXrvysL0EAYmJieOONN1Cr1SiVStt2f39/+vTpk2/3pAhuBEEQBEEoUkS3lCAIgiAIRYoIbgRBEARBKFJEcCMIgiAIQpEightBEARBEIoUEdwIgiAIglCkiOBGEARBEIQiRQQ3giAIgiAUKSK4EQRBEAShSBHBjSAIgiAIRYoIbgRByBNbt26lY8eOuLu7o1arKVWqFJ06deLHH3+0LZzXqlUrOnfunM8lFQShqBPBjSAIT+z999+nY8eO6HQ65s2bR0hICPPmzaNYsWIMHDiQHTt25HcRBUF4jqjyuwCCIBRumzdv5vPPP2fq1KkEBgbavda7d2/eeust1Gp1/hROEITnkmi5EQThicyaNYsyZcrwwQcfZPl6w4YNqVu3bpavBQQEUKtWLbtt8fHxSJLE8uXL7bavXLmSunXrotPpKFmyJB07diQ6Otr2emRkJB06dECv1+Pq6oq/vz+XLl2yO8fSpUupWbMmDg4OlChRgubNm3Po0CHb67Is89VXX+Hl5YVWq6Vy5crMnj37UT4OQRAKABHcCILw2EwmE+Hh4fj6+qJSPb2G4JkzZzJkyBBeeeUVfv31V5YsWcKLL75IbGwsAJcvX6Zly5bcunWL1atXExQUxNGjR/Hx8eHevXsA7N27l2HDhtGxY0e2bNnCypUradOmDfHx8bb3eeutt/joo48YMmQImzdvJiAggHfffZegoKCndm2CIOQ90S0lCMJju3XrFmlpaZQvX95uuyzLmM1m2+8KhQKF4vH+lrp79y6BgYGMGDGCBQsW2LZ369bN9u/Zs2djNBoJDg7Gzc0NgLp161KjRg2WL1/OuHHjOHjwIG5ubsycOdN2XKdOnWz/Pn/+PPPmzSMoKIgRI0YA0LZtW5KTk5k2bRojRox47GsQBOHZEneqIAhPTJIku99/+eUX1Gq17Wf8+PGPfe6IiAiSk5MZNmxYtvvs27cPX19fW2ADUL16dWrXrk1YWBgA9erV4/bt2wQEBLBjxw6Sk5PtzrFz504AevXqhclksv20bduWGzducPny5ce+BkEQni0R3AiC8NhKlCiBVqvlypUrdtvbtGnDoUOHOHToEGXKlHmi97h16xYAZcuWzXafO3fuUKpUqUzbS5Uqxe3btwHw9fVl1apVnDp1ig4dOlCyZEkGDx5sez0uLg5ZlilZsqRdYNauXTsAEdwIQiEiuqUEQXhsKpWKZs2aERISgtlsRqlUAlC8eHHq168PgEajyfZ4nU6HwWCw23bnzh2730uUKAHAtWvXeOGFF7I8j5ubGzExMZm237x5Ey8vL9vvAwcOZODAgcTFxbFx40YmTJiAWq1myZIluLm5IUkSYWFhWZa5WrVq2V6HIAgFi2i5EQThiUycOJFr167x2WefPfKxL7zwAleuXCExMdG2LTg42G6fJk2a4OjoyLJly7I9T/PmzQkJCbELjM6ePcuJEydo3rx5pv1LlizJsGHDaNeuHWfOnAGsrU1gbSmqX79+ph9nZ+dHvj5BEPKHMvDBxBSCIAiPwMvLi7S0ND755BMiIyORJInbt28TGRnJkiVLCAkJwcfHh7Zt27J8+XI0Gg0DBgwArEHGt99+y7lz5yhWrBh//PEHQUFBxMbG0r17d+rUqYNOp0OtVvPFF19w/fp1lEolZ8+eZcGCBZQoUYKyZctSo0YNFi5cyObNm/Hw8OD48eO88cYbuLi4sGDBArRaLVOnTuWXX34hOTmZuLg4Nm3axPfff89rr72Gr68vJUqUIC4ujsDAQMxmMwaDgbNnz7Jlyxa++OIL+vXrl8+ftCAIuSYLgiDkgU2bNsmvvvqqXKJECVmlUskeHh7yq6++Kq9Zs0Y2m82yLMuyj4+P3KlTJ7vjVq5cKVetWlV2cHCQ27VrJx8/flwG5GXLltntt3TpUtnb21vWaDRyiRIl5M6dO8vR0dG21//66y+5Xbt2sqOjo+zs7Cz37NlTvnjxou31P/74Q27Tpo2BwcwxAAAAsklEQVTs7u4ua7VauUqVKvLUqVNlo9Fo28dischz586Va9WqJWs0GtnNzU1u0qSJPGvWrKfwiQmC8LRIsizL+R1gCYIgCIIg5BUx5kYQBEEQhCJFBDeCIAiCIBQpIrgRBEEQBKFIEcGNIAiCIAhFighuBEEQBEEoUkRwIwiCIAhCkSKCG0EQBEEQihQR3AiCIAiCUKSI4EYQBEEQhCJFBDeCIAiCIBQpIrgRBEEQBKFI+X8LH4GzoW0EkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (8759816792005)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m5tZCsSKLfZq",
        "colab_type": "text"
      },
      "source": [
        "Finally, let's add a smoothed curve `p9.geom_smooth` showing the overall trend. Again, specify a color so that you can see the trend curve:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-cIA6JQkLdeG",
        "colab_type": "code",
        "outputId": "19b6d7a5-1f95-4cb2-df5e-aac0524e7f01",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "p9.ggplot(diabetes_insulin,p9.aes(x=\"Glucose\",y=\"Insulin\")) + p9.geom_point() + p9.geom_density_2d(color='red') + p9.geom_smooth(method='lm',color='blue',se=False)"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<ggplot: (-9223363277038777256)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        }
      ]
    }
  ]
}