NETFLIX_EDA_and_Recommendation.ipynb

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      "source": [
        "import numpy as np # linear algebra\n",
        "import pandas as pd \n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "markdown",
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        "id": "_efwyHTqom9I"
      },
      "source": [
        "# Loading the dataset"
      ]
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            "text/plain": [
              "  show_id     type  title           director  \\\n",
              "0      s1  TV Show     3%                NaN   \n",
              "1      s2    Movie   7:19  Jorge Michel Grau   \n",
              "2      s3    Movie  23:59       Gilbert Chan   \n",
              "3      s4    Movie      9        Shane Acker   \n",
              "4      s5    Movie     21     Robert Luketic   \n",
              "\n",
              "                                                cast        country  \\\n",
              "0  João Miguel, Bianca Comparato, Michel Gomes, R...         Brazil   \n",
              "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...         Mexico   \n",
              "2  Tedd Chan, Stella Chung, Henley Hii, Lawrence ...      Singapore   \n",
              "3  Elijah Wood, John C. Reilly, Jennifer Connelly...  United States   \n",
              "4  Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...  United States   \n",
              "\n",
              "          date_added  release_year rating   duration  \\\n",
              "0    August 14, 2020          2020  TV-MA  4 Seasons   \n",
              "1  December 23, 2016          2016  TV-MA     93 min   \n",
              "2  December 20, 2018          2011      R     78 min   \n",
              "3  November 16, 2017          2009  PG-13     80 min   \n",
              "4    January 1, 2020          2008  PG-13    123 min   \n",
              "\n",
              "                                           listed_in  \\\n",
              "0  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
              "1                       Dramas, International Movies   \n",
              "2                Horror Movies, International Movies   \n",
              "3  Action & Adventure, Independent Movies, Sci-Fi...   \n",
              "4                                             Dramas   \n",
              "\n",
              "                                         description  \n",
              "0  In a future where the elite inhabit an island ...  \n",
              "1  After a devastating earthquake hits Mexico Cit...  \n",
              "2  When an army recruit is found dead, his fellow...  \n",
              "3  In a postapocalyptic world, rag-doll robots hi...  \n",
              "4  A brilliant group of students become card-coun...  "
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>show_id</th>\n",
              "      <th>type</th>\n",
              "      <th>title</th>\n",
              "      <th>director</th>\n",
              "      <th>cast</th>\n",
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              "      <th>date_added</th>\n",
              "      <th>release_year</th>\n",
              "      <th>rating</th>\n",
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              "      <th>description</th>\n",
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              "      <th>0</th>\n",
              "      <td>s1</td>\n",
              "      <td>TV Show</td>\n",
              "      <td>3%</td>\n",
              "      <td>NaN</td>\n",
              "      <td>João Miguel, Bianca Comparato, Michel Gomes, R...</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>August 14, 2020</td>\n",
              "      <td>2020</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>4 Seasons</td>\n",
              "      <td>International TV Shows, TV Dramas, TV Sci-Fi &amp;...</td>\n",
              "      <td>In a future where the elite inhabit an island ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>s2</td>\n",
              "      <td>Movie</td>\n",
              "      <td>7:19</td>\n",
              "      <td>Jorge Michel Grau</td>\n",
              "      <td>Demián Bichir, Héctor Bonilla, Oscar Serrano, ...</td>\n",
              "      <td>Mexico</td>\n",
              "      <td>December 23, 2016</td>\n",
              "      <td>2016</td>\n",
              "      <td>TV-MA</td>\n",
              "      <td>93 min</td>\n",
              "      <td>Dramas, International Movies</td>\n",
              "      <td>After a devastating earthquake hits Mexico Cit...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>s3</td>\n",
              "      <td>Movie</td>\n",
              "      <td>23:59</td>\n",
              "      <td>Gilbert Chan</td>\n",
              "      <td>Tedd Chan, Stella Chung, Henley Hii, Lawrence ...</td>\n",
              "      <td>Singapore</td>\n",
              "      <td>December 20, 2018</td>\n",
              "      <td>2011</td>\n",
              "      <td>R</td>\n",
              "      <td>78 min</td>\n",
              "      <td>Horror Movies, International Movies</td>\n",
              "      <td>When an army recruit is found dead, his fellow...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>s4</td>\n",
              "      <td>Movie</td>\n",
              "      <td>9</td>\n",
              "      <td>Shane Acker</td>\n",
              "      <td>Elijah Wood, John C. Reilly, Jennifer Connelly...</td>\n",
              "      <td>United States</td>\n",
              "      <td>November 16, 2017</td>\n",
              "      <td>2009</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>80 min</td>\n",
              "      <td>Action &amp; Adventure, Independent Movies, Sci-Fi...</td>\n",
              "      <td>In a postapocalyptic world, rag-doll robots hi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>s5</td>\n",
              "      <td>Movie</td>\n",
              "      <td>21</td>\n",
              "      <td>Robert Luketic</td>\n",
              "      <td>Jim Sturgess, Kevin Spacey, Kate Bosworth, Aar...</td>\n",
              "      <td>United States</td>\n",
              "      <td>January 1, 2020</td>\n",
              "      <td>2008</td>\n",
              "      <td>PG-13</td>\n",
              "      <td>123 min</td>\n",
              "      <td>Dramas</td>\n",
              "      <td>A brilliant group of students become card-coun...</td>\n",
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              "                                                     [key], {});\n",
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          },
          "metadata": {},
          "execution_count": 21
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      ],
      "source": [
        "netflix_overall=pd.read_csv(\"/content/netflix_titles.csv\")\n",
        "netflix_overall.head()"
      ]
    },
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          "data": {
            "text/plain": [
              "show_id         7787\n",
              "type            7787\n",
              "title           7787\n",
              "director        5398\n",
              "cast            7069\n",
              "country         7280\n",
              "date_added      7777\n",
              "release_year    7787\n",
              "rating          7780\n",
              "duration        7787\n",
              "listed_in       7787\n",
              "description     7787\n",
              "dtype: int64"
            ]
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          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "netflix_overall.count()"
      ]
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        "tags": [],
        "id": "XQDB3mQrom9N"
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      "outputs": [],
      "source": [
        "netflix_shows=netflix_overall[netflix_overall['type']=='TV Show']\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
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        "tags": [],
        "id": "uAZMHNNnom9O"
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      "outputs": [],
      "source": [
        "netflix_movies=netflix_overall[netflix_overall['type']=='Movie']"
      ]
    },
    {
      "cell_type": "markdown",
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      "source": [
        "# Analysis of Movies vs TV Shows."
      ]
    },
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        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set(style=\"darkgrid\")\n",
        "ax = sns.countplot(x=\"type\", data=netflix_overall, palette=\"Set2\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.06878,
          "end_time": "2021-02-25T06:29:56.905657",
          "exception": false,
          "start_time": "2021-02-25T06:29:56.836877",
          "status": "completed"
        },
        "tags": [],
        "id": "KP1d0M4Zom9S"
      },
      "source": [
        "It is evident that there are more Movies on Netflix than TV shows."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.068075,
          "end_time": "2021-02-25T06:29:57.042614",
          "exception": false,
          "start_time": "2021-02-25T06:29:56.974539",
          "status": "completed"
        },
        "tags": [],
        "id": "XV7igeWBom9T"
      },
      "source": [
        "# If a producer wants to release some content, which month must he do so?( Month when least amount of content is added)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "_kg_hide-input": true,
        "papermill": {
          "duration": 0.759949,
          "end_time": "2021-02-25T06:29:57.870491",
          "exception": false,
          "start_time": "2021-02-25T06:29:57.110542",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "zYWxiRkyom9U",
        "outputId": "e495eadd-fb02-46c2-d50e-2fd0297e3ecc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1400 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "netflix_date = netflix_shows[['date_added']].dropna()\n",
        "netflix_date['year'] = netflix_date['date_added'].apply(lambda x : x.split(', ')[-1])\n",
        "netflix_date['month'] = netflix_date['date_added'].apply(lambda x : x.lstrip().split(' ')[0])\n",
        "\n",
        "month_order = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'][::-1]\n",
        "df = netflix_date.groupby('year')['month'].value_counts().unstack().fillna(0)[month_order].T\n",
        "plt.figure(figsize=(10, 7), dpi=200)\n",
        "plt.pcolor(df, cmap='afmhot_r', edgecolors='white', linewidths=2) # heatmap\n",
        "plt.xticks(np.arange(0.5, len(df.columns), 1), df.columns, fontsize=7, fontfamily='serif')\n",
        "plt.yticks(np.arange(0.5, len(df.index), 1), df.index, fontsize=7, fontfamily='serif')\n",
        "\n",
        "plt.title('Netflix Contents Update', fontsize=12, fontfamily='calibri', fontweight='bold', position=(0.20, 1.0+0.02))\n",
        "cbar = plt.colorbar()\n",
        "\n",
        "cbar.ax.tick_params(labelsize=8) \n",
        "cbar.ax.minorticks_on()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.070251,
          "end_time": "2021-02-25T06:29:58.013600",
          "exception": false,
          "start_time": "2021-02-25T06:29:57.943349",
          "status": "completed"
        },
        "tags": [],
        "id": "mh_eLTXVom9X"
      },
      "source": [
        "If the latest year 2019 is considered, January and December were the months when comparatively much less content was released.Therefore, these months may be a good choice for the success of a new release!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.077134,
          "end_time": "2021-02-25T06:29:58.162775",
          "exception": false,
          "start_time": "2021-02-25T06:29:58.085641",
          "status": "completed"
        },
        "tags": [],
        "id": "c5LwqYiuom9c"
      },
      "source": [
        "# Movie ratings analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "papermill": {
          "duration": 0.426774,
          "end_time": "2021-02-25T06:29:58.674941",
          "exception": false,
          "start_time": "2021-02-25T06:29:58.248167",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "d19x_4mRom9d",
        "outputId": "7614b011-42a2-4021-a2fb-40507d533297"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(12,10))\n",
        "sns.set(style=\"darkgrid\")\n",
        "ax = sns.countplot(x=\"rating\", data=netflix_movies, palette=\"Set2\", order=netflix_movies['rating'].value_counts().index[0:15])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.071015,
          "end_time": "2021-02-25T06:29:58.819355",
          "exception": false,
          "start_time": "2021-02-25T06:29:58.748340",
          "status": "completed"
        },
        "tags": [],
        "id": "isWtWPgDom9e"
      },
      "source": [
        "The largest count of movies are made with the 'TV-MA' rating.\"TV-MA\" is a rating assigned by the TV Parental Guidelines to a television program that was designed for mature audiences only. \n",
        "\n",
        "Second largest is the 'TV-14' stands for content that may be inappropriate for children younger than 14 years of age.\n",
        "\n",
        "Third largest is the  very popular 'R' rating.An R-rated film is a film that has been assessed as having material which may be unsuitable for children under the age of 17 by the Motion Picture Association of America; the MPAA writes \"Under 17 requires accompanying parent or adult guardian\"."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.072682,
          "end_time": "2021-02-25T06:29:58.965844",
          "exception": false,
          "start_time": "2021-02-25T06:29:58.893162",
          "status": "completed"
        },
        "tags": [],
        "id": "EXmzDEhmom9e"
      },
      "source": [
        "# Analysing IMDB ratings to get top rated movies on Netflix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "papermill": {
          "duration": 1.778568,
          "end_time": "2021-02-25T06:30:00.817264",
          "exception": false,
          "start_time": "2021-02-25T06:29:59.038696",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O0KDn3Onom9f",
        "outputId": "1105355c-4904-4146-84b4-2c343c65b238"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/IPython/core/interactiveshell.py:3326: DtypeWarning: Columns (3) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(85852, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "imdb_ratings=pd.read_csv('/content/IMDb ratings.csv',usecols=['weighted_average_vote'])\n",
        "imdb_titles=pd.read_csv('/content/IMDb movies.csv', usecols=['title','year','genre'])\n",
        "ratings = pd.DataFrame({'Title':imdb_titles.title,\n",
        "                    'Release Year':imdb_titles.year,\n",
        "                    'Rating': imdb_ratings.weighted_average_vote,\n",
        "                    'Genre':imdb_titles.genre})\n",
        "ratings.drop_duplicates(subset=['Title','Release Year','Rating'], inplace=True)\n",
        "ratings.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.074846,
          "end_time": "2021-02-25T06:30:00.968361",
          "exception": false,
          "start_time": "2021-02-25T06:30:00.893515",
          "status": "completed"
        },
        "tags": [],
        "id": "LkSrYFrFom9h"
      },
      "source": [
        "Performing inner join on the ratings dataset and netflix dataset to get the content that has both ratings on IMDB and are available on Netflix."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "papermill": {
          "duration": 0.172954,
          "end_time": "2021-02-25T06:30:01.214999",
          "exception": false,
          "start_time": "2021-02-25T06:30:01.042045",
          "status": "completed"
        },
        "tags": [],
        "id": "i12q7pHOom9h"
      },
      "outputs": [],
      "source": [
        "ratings.dropna()\n",
        "joint_data=ratings.merge(netflix_overall,left_on='Title',right_on='title',how='inner')\n",
        "joint_data=joint_data.sort_values(by='Rating', ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.073369,
          "end_time": "2021-02-25T06:30:01.359535",
          "exception": false,
          "start_time": "2021-02-25T06:30:01.286166",
          "status": "completed"
        },
        "tags": [],
        "id": "md7IT6Tvom9i"
      },
      "source": [
        "Top rated 10 movies on Netflix are:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "papermill": {
          "duration": 3.446911,
          "end_time": "2021-02-25T06:30:04.880986",
          "exception": false,
          "start_time": "2021-02-25T06:30:01.434075",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "_KWj5QFEom9j",
        "outputId": "955f2fcc-4ee4-41f5-c5c3-49f43b80ce34"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "import plotly.express as px\n",
        "top_rated=joint_data[0:10]\n",
        "fig =px.sunburst(\n",
        "    top_rated,\n",
        "    path=['title','country'],\n",
        "    values='Rating',\n",
        "    color='Rating')\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
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          "status": "completed"
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        "tags": [],
        "id": "gxjBt2FVom9k"
      },
      "source": [
        "Countries with highest rated content."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
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          "height": 394
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        "id": "8IKuH5A4om9l",
        "outputId": "48a199be-e287-450f-bd7f-94a134805c28"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               country\n",
              "United States                      799\n",
              "India                              701\n",
              "United Kingdom                     107\n",
              "Canada                              56\n",
              "Philippines                         50\n",
              "Spain                               40\n",
              "South Korea                         36\n",
              "Indonesia                           35\n",
              "France                              33\n",
              "United Kingdom, United States       31\n",
              "Australia                           30"
            ],
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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          },
          "metadata": {},
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        }
      ],
      "source": [
        "country_count=joint_data['country'].value_counts().sort_values(ascending=False)\n",
        "country_count=pd.DataFrame(country_count)\n",
        "topcountries=country_count[0:11]\n",
        "topcountries"
      ]
    },
    {
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          "status": "completed"
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        "tags": [],
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          "height": 542
        },
        "id": "wYMerR42om9m",
        "outputId": "c6673e5f-174b-4a22-90e8-877a6fdf0b71"
      },
      "outputs": [
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              "var notebookContainer = gd.closest('#notebook-container');\n",
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "import plotly.express as px\n",
        "data = dict(\n",
        "    number=[1063,619,135,60,44,41,40,40,38,35],\n",
        "    country=[\"United States\", \"India\", \"United Kingdom\", \"Canada\", \"Spain\",'Turkey','Philippines','France','South Korea','Australia'])\n",
        "fig = px.funnel(data, x='number', y='country')\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.073791,
          "end_time": "2021-02-25T06:30:05.880968",
          "exception": false,
          "start_time": "2021-02-25T06:30:05.807177",
          "status": "completed"
        },
        "tags": [],
        "id": "reSFvSYVom9n"
      },
      "source": [
        "# Year wise analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "papermill": {
          "duration": 0.481843,
          "end_time": "2021-02-25T06:30:06.437250",
          "exception": false,
          "start_time": "2021-02-25T06:30:05.955407",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "34mL3Edqom9o",
        "outputId": "2d9efce4-d7dc-4b03-dacd-c26f79b0d3cf"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(12,10))\n",
        "sns.set(style=\"darkgrid\")\n",
        "ax = sns.countplot(y=\"release_year\", data=netflix_movies, palette=\"Set2\", order=netflix_movies['release_year'].value_counts().index[0:15])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.076723,
          "end_time": "2021-02-25T06:30:06.588236",
          "exception": false,
          "start_time": "2021-02-25T06:30:06.511513",
          "status": "completed"
        },
        "tags": [],
        "id": "6_KNHbPIom9p"
      },
      "source": [
        "So, 2017 was the year when most of the movies were released."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.122379,
          "end_time": "2021-02-25T06:30:06.786166",
          "exception": false,
          "start_time": "2021-02-25T06:30:06.663787",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pQvUYG4-om9q",
        "outputId": "11f18e81-dcc5-464c-afaf-61d39f3fa512"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-34-05759bc2aa29>:2: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ]
        }
      ],
      "source": [
        "countries={}\n",
        "netflix_movies['country']=netflix_movies['country'].fillna('Unknown')\n",
        "cou=list(netflix_movies['country'])\n",
        "for i in cou:\n",
        "    #print(i)\n",
        "    i=list(i.split(','))\n",
        "    if len(i)==1:\n",
        "        if i in list(countries.keys()):\n",
        "            countries[i]+=1\n",
        "        else:\n",
        "            countries[i[0]]=1\n",
        "    else:\n",
        "        for j in i:\n",
        "            if j in list(countries.keys()):\n",
        "                countries[j]+=1\n",
        "            else:\n",
        "                countries[j]=1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.088951,
          "end_time": "2021-02-25T06:30:06.950351",
          "exception": false,
          "start_time": "2021-02-25T06:30:06.861400",
          "status": "completed"
        },
        "tags": [],
        "id": "AQcPL2Aiom9r"
      },
      "outputs": [],
      "source": [
        "countries_fin={}\n",
        "for country,no in countries.items():\n",
        "    country=country.replace(' ','')\n",
        "    if country in list(countries_fin.keys()):\n",
        "        countries_fin[country]+=no\n",
        "    else:\n",
        "        countries_fin[country]=no\n",
        "        \n",
        "countries_fin={k: v for k, v in sorted(countries_fin.items(), key=lambda item: item[1], reverse= True)}\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.076366,
          "end_time": "2021-02-25T06:30:07.102328",
          "exception": false,
          "start_time": "2021-02-25T06:30:07.025962",
          "status": "completed"
        },
        "tags": [],
        "id": "d2tQuTO_om9s"
      },
      "source": [
        "# TOP 10 MOVIE CONTENT CREATING COUNTRIES"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.357813,
          "end_time": "2021-02-25T06:30:07.538356",
          "exception": false,
          "start_time": "2021-02-25T06:30:07.180543",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 735
        },
        "id": "Uy1IweI-om9v",
        "outputId": "982ea8d1-8e7a-409c-c3ef-60ba69c2705e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Text(0, 0, 'UnitedStates'),\n",
              " Text(0, 0, 'France'),\n",
              " Text(0, 0, 'UnitedKingdom'),\n",
              " Text(0, 0, 'Canada'),\n",
              " Text(0, 0, 'Germany'),\n",
              " Text(0, 0, 'Belgium'),\n",
              " Text(0, 0, 'China'),\n",
              " Text(0, 0, 'Spain'),\n",
              " Text(0, 0, 'India'),\n",
              " Text(0, 0, 'Japan')]"
            ]
          },
          "metadata": {},
          "execution_count": 36
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(8,8))\n",
        "ax = sns.barplot(x=list(countries_fin.keys())[0:10],y=list(countries_fin.values())[0:10])\n",
        "ax.set_xticklabels(list(countries_fin.keys())[0:10],rotation = 90)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.077104,
          "end_time": "2021-02-25T06:30:07.691900",
          "exception": false,
          "start_time": "2021-02-25T06:30:07.614796",
          "status": "completed"
        },
        "tags": [],
        "id": "nklV_yINom9y"
      },
      "source": [
        "# Analysis of duration of movies"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.104963,
          "end_time": "2021-02-25T06:30:07.874601",
          "exception": false,
          "start_time": "2021-02-25T06:30:07.769638",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8dKYidDom9z",
        "outputId": "2329ae1b-0c95-4e1f-a35b-26d113f72cac"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-37-738641204206>:1: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n",
            "<ipython-input-37-738641204206>:2: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1        93\n",
              "2        78\n",
              "3        80\n",
              "4       123\n",
              "6        95\n",
              "       ... \n",
              "7781     88\n",
              "7782     99\n",
              "7783    111\n",
              "7784     44\n",
              "7786     90\n",
              "Name: duration, Length: 5377, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "netflix_movies['duration']=netflix_movies['duration'].str.replace(' min','')\n",
        "netflix_movies['duration']=netflix_movies['duration'].astype(str).astype(int)\n",
        "netflix_movies['duration']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "papermill": {
          "duration": 0.391059,
          "end_time": "2021-02-25T06:30:08.344543",
          "exception": false,
          "start_time": "2021-02-25T06:30:07.953484",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "T4EUQCsuom90",
        "outputId": "5014e33c-3621-4da7-cecd-a14dd442e784"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f37c521ebe0>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set(style=\"darkgrid\")\n",
        "sns.kdeplot(data=netflix_movies['duration'], shade=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.079518,
          "end_time": "2021-02-25T06:30:08.504644",
          "exception": false,
          "start_time": "2021-02-25T06:30:08.425126",
          "status": "completed"
        },
        "tags": [],
        "id": "85EEn5I_om91"
      },
      "source": [
        "So, a good amount of movies on Netflix are among the duration of 75-120 mins. It is acceptable considering the fact that a fair amount of the audience cannot watch a 3 hour movie in one sitting. Can you? :p"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "_kg_hide-input": true,
        "papermill": {
          "duration": 0.103304,
          "end_time": "2021-02-25T06:30:08.688301",
          "exception": false,
          "start_time": "2021-02-25T06:30:08.584997",
          "status": "completed"
        },
        "tags": [],
        "id": "tLC9qzM5om92"
      },
      "outputs": [],
      "source": [
        "from collections import Counter\n",
        "\n",
        "genres=list(netflix_movies['listed_in'])\n",
        "gen=[]\n",
        "\n",
        "for i in genres:\n",
        "    i=list(i.split(','))\n",
        "    for j in i:\n",
        "        gen.append(j.replace(' ',\"\"))\n",
        "g=Counter(gen)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.080166,
          "end_time": "2021-02-25T06:30:08.850066",
          "exception": false,
          "start_time": "2021-02-25T06:30:08.769900",
          "status": "completed"
        },
        "tags": [],
        "id": "taYXFFsvom92"
      },
      "source": [
        "# WordCloud for Genres."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "papermill": {
          "duration": 1.35201,
          "end_time": "2021-02-25T06:30:10.284395",
          "exception": false,
          "start_time": "2021-02-25T06:30:08.932385",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 738
        },
        "id": "TJT9rva1om93",
        "outputId": "281bc6eb-73d6-47e1-e79e-74b994084b2b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x936 with 1 Axes>"
            ],
            "image/png": 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xKDyLiEwz9YkWESkrwIZdON4SIEFY2kRYepF49WdI1P0/OG47YXH9GbmzMQbXcfBcB99z8TwXz3VwHKMALSJyDlB3DhGRUzAmBUQE+YcwbgdufC3G1GGcRqKof7qnN6nDuX4O5/qp8hJU+Unq/SqSXvmXD6212Mi+UuY9ttoNWvEWESlHIVpEpCwX48wiLL0EJkFQ3IiffCfG1AEWazM41Ez3JCe1oX8n//zyg8Qdj6QX531z1nFr22Vlx2eG8/z035/GcR2qa5M0t9ax+vJFeL57FmctInL+UIgWESnHJPCTt5Ef/gtK2Xtw/eX4iVsxxhCFfdhoCBO7dNqmZ63lUO8wW/Yeoa2phpULW48dW5CezZ0dV5H2EqS9OMtr5pz0WrlsgQfueZbB3lGS6RgLl7exfM1chWgRkTL0YqGISDnWYm2OsPgsUdSHF3sLxu3AGJcoOEypcD9efB2ut2hapheGET99ait/e/ej3LJ2GV/48E2vHbNj7fEcplZDXSyUeHn7YWJxn1jMI570aWypwXH06oyIyGS0Ei0iUo4xGJPCS1w74ZDjtRL3fuPsz+k4kbUMjeYYzuTJ5UvjjrmmsvAbi/tcsHru6ZyeiMibmkK0iMgpWFsgCg9ioyEcpxnHm4O1IRAAPqbCwHq6RJElWyideqCIiJx2+nM6EZEyrLVEYR+FkS+TG/g9cv2/TTF799ix8BCFkS8TBTunbX6RtWTzry9E21f+EhGR10chWkSkrIAg9xOC/H24sSswbitQAMA4tUSlLWM7Gk6TKLLkprASPVTK0JMfInqlTroYBWwf7mR973YO5fqOfX4q1lr0Go2IyBiVc4iIlGPzlAoP4qfeTyz9G+QH/8uxQ8apwTh1RGHXSS9RLAV85xfP0zeUOe3TKwUhL+w6eMpx9x9+ju78EB9beDMJN8ZjPZv5//bcTz4qsiA9m08tuZ2FVbOPjR8dzrH52b0sXTWHhqZqwiDi2cd28OSDW2iaXcvbfu1Smlvr1ENaRGY0hWgRkbIisKM4bgfG+Cccs4ALp1jFLQUR9z29jb2Hz8ymLGF06lXkTUP7mJuaRdzxGS5l+OmhZ1hTv5B1zSv5zv6HebJ3y7gQfWBPNz/458f5+Odupb6xipd3HOZbX/kFsbjHzk0HyWULfPj3biaVLr95i4jIm53KOUREyvIwzmyi0k5s9NpKsrUhYbCHKDyI4y045VWCMCIII6wFxzGn729jMJx6NTgT5GlJ1OEah+cH9jBaynFH+5Vc0XgBS6rb2Z/pGTe+9/AQpVJI65wGCvkSj/zkBWrqUvyXL32AD37qJp59dAeDvSOV/+cUEXkT0Uq0iEg5Jo6fuJXC6P+LJSAKOzE2Qyn7XYL8A4CLG79mSpdyHYe1K+ayalHrqQdPUTEIeeKlvezs7DnpuKQbIxcWyIYFnunbSVuykQVVszFmLIiHNhw3PigFJFMxPN+lv2eEjU/u5p0fvILmlloy83MU8wHFQnDavoeIyPlIIVpEpAxjPLzEzVjylLJ3EwUHgU7C0nZcfzmJ6j/AcU++E+CrfM/hxrcs4c7rLjpt88vkiwxl8qcM0RfVLuCBIxvZNXKIbcMH+OTidxJzPIpRwEBxlCovOW58TX2aXLbIwb29bNrwMgZYtXYhmLENXsIwUj20iMx4CtEiIidhnBR+8j148RuJwv0QZTBu01h4NlVT7hHtGEP1aa4hdowhFT+xVnui61tW0ZXr5Wh+kHe1X8ma+oUADJcyGODC2nnjxi+4oJVUVZwvfeF75LIF3v7ey2hprwfg6MEBUuk4sbh+fYjIzKanoIjIKRjjY9xmHLd53Oc2ymJtiHGqT3kNxzHUpBOndV6OY0gnYqcc1xKv43eW3E4+LFLtJfEcF4AaP8XHF76NWj89bnxDczUf/+ytvLR+D/XN1Vx81RL8mDfW4g7LOz90JXWNVaf1u4iInG8UokVEXqeg8Cg2Okos/dGyY1zHsHJhK0OZHLPqTm/wdIwhGT91iDbGkHRjJN3xY2OOT2uyYdLxC5bNZt7iFozDuNKNK25aAYDr6r10EZnZFKJFRF6nKHwZG3afdEws5vHp916LtfaMrEQ31aVpa6qhvjpZdlxoIw5kunm0ZzP7Mke5qG4+7+m4mlxQYG/mKO2pxgmr0QCFfJGh/gyRtcxqrcPzx1awp9IRRETkzU4hWkTkONbmCIubcNxZGLeDKNiOtflJx0all8FJnfR6jjEnDbhvhGMMV62cz+L2RqpT5QP63tEj/I9tdzNSyhHYkMQrK9KZsMC/7P0F1zRfyO3tlx8bb61l/66j3Pvtp9i0YS+xuMcXvvQB2uc38dxjO8lni1z51hXEplCPLSLyZqUQLSJynCg4SH7oT/Dia4lXf5b80J9ho14me1zaqBsvcdvZn+QrjBmrsz7VCvd9h5+lPlbNZy+4i3u71hMxtkFLQ6yKpngtu0cPjRs/2DfKN//2Afp7R1iysp3NG/YSBmPnFPIlfvTNJ1jxlnk0t9admS8mInIeUIgWETmO47YSr/4MjjsbsGBL+Mm7cPwlE8aWsj8E4579SVZoz+gR1jVfyLLqDn7hvUAmyAFjZRnVfoLewvC48Ts3HaT36BB/8Be/Bsaw/YUDY+ONoW1eI4N9o+SyxbP+PUREziUK0SIixzFOFX7yFgBsNIRxm/Di1+HGVk4YG5V2YaOT92g+F8Qcj0JUwmLHfV6yIUOlLGlv/Er26FCOZDpOS3s9Rw8NHvvcWovrOGAMNhp/LRGRmUavV4uIlGOSxNKfwPHmTnrY8eZh3I6zPKnKralfwOM9W9gytJ8gCghtxGAxwy+PvsCO4U4urls0bnxVbZJiIaC/dwTsa2E5CiP27jxCuipBIql6aBGZ2bQSLSJShjExvPjlZY978RuA6dv+2lpLJlekbzhDOhGnqW5ihw2AG2atZtfIIf5q+/cZLI3i4PC50a+TCQpcO2slFzeMD9GLVrRRW5/m3/7+lyxfM4diIWD31i62btzPz767nstvXK4+0SIy4xlrrf5MTkRkEtaG2LAL4zSCSWDOsfrnMIr45XO7+NqPn+K6NYv43bvWlR07WBzluf7dbB85SCbIU+unWFEzl0salpDyJu6kuOPFTr73jUfYunE/hXyReMLHdR2ue8cafu0T1ypEi8iMp5VoEZFybJb80BcxThNe4npcfzXGbcOYc+PRGUWWnsFR9h7qZ8W82ScdW+unuaFlNVc1ryC0IZ5xiTk+jpm85/OSi9r53T99Nwdf7uHooQE8z6VtXiNt85pIV5/eftciIuejc+M3gYjIucjE8ZPvppT/Ofnh/4njNuN6K/ESN+P4KzBODeCN29HvbIqsJZsvTWmsMWNbpJy4a2Fntofu/BCXNCx+7bqRxVqobUhT11jFShaczmmLiLwpKESLiJRh8PGSt+PGryMK9xHkf0lYep5g+EmMOxsvfjNe4hpcb9GpL3YG2MiSK0wtRJezfbiTlwb3jQvR3YcG2LW5i9WXL6SmfvI6axGRmU4hWkSkHGMweBi3AcdtwPXXYKN+wtJLhIXHKWa+hg07cWv/eFqmF1pLJj+xX3NkI3JhEdc4xB2ffFgkZPLXX/oKI+TCwrjPdm3u4ntff5hlF3UoRIuIlKEQLSIyVTZDFB4gKm0nLG0GLMZpOOkpQRjx0p5D5KZYdlGJfLFE59GBCZ8PFjN8c99DtCTqeN/ca/le52McyU0cB/By5gizEuN3HiwVA6pqklTVnpntykVE3gwUokVEyrDWgh0lCrsIC08RFB4lCg9hTAo3vo54/Bpcf+lJr1EoBfzd3Y+y73D/6Z8flmIpnPTzfFgkFxYBy9N92wFDU7xm4vyiieG+dU4Dnu8y1J8hmY5PW823iMi5TCFaRKSsPIWRL1PK348xCdzYKuLJO3DjV2CceiB26oBpIZsvTlp2cabUx6r59NI7cIzBwSHtJbi97Ypxdc+vurdrPbtHD437bNGKNlZfvoj7/mMD6952EfXN1TjO+O9ZXZfC886tln8iImeTQrSISDk2xJInXvXbuLE1ON4CDAl4HSuzjjHMa22go7n2tE0vCCP2dPXSPTA64V7H936+oHoOHammCdt7AzTEq0nmxnfs2P5iJxse3cHeHYd54v7NVNUkx31lP+bxf/73u2ib13TavouIyPlGIVpEpByTJlHzXxl7VLqvJzsf43sud65byZ3XrTpdsyOTL/LVex7nJ09sOem4D8+/Ed+ZfNV4Rc0cmmLjyzySqRjLVs9h2arJtzR3PZdEauIGLSIiM4lCtIhIGcYYrI2NtbfL3UdY3IC1GRx3Nm7sGrzkWzGmfko1w45jaKxNk4z7p21+Fkv1FMKsYwxjXaIn6kg105FqHvfZkpUdLFk5eYAWEZExznRPQETkXGWtJQpeJj/4h5Ry3weTwHHbiKIBCqN/Q3HkK2BHpnQtxxiqU6d3pz/HOKSmEMrv7VrPk73bGCplTuv9RURmMq1Ei4iUVaCU/Q7GqSNR80Ucby7gYW2WsPQ8xZGvEBQexU++s+wVjIGm2jSOY6ivOb0t4xzHkE7ETjlu23AnP+x6iiovwdqGpVzWuIyOVBPVXmrSbb93beniyQfLl4h4nsNt/8fl1DdVv6H5i4iczxSiRUTKsUXC0ovEUr+O4194rGzDkMI4NxHkfkJYeumkIToe8/jMB64nCCIWzD55T+lKOcaQSox1CDlZRckfLLuTLUP7eW5gF4/1buVHXetZWTuPSxqWsLZxKS3xOtzjaqb7jg6x8fGd465RLAT0Hh0iCiMuvmoJwSSt9UREZhJjrZ18GysRkRnORsNk+z9OLPURvOS7xtU+WxuSG/wMjtNCovaPpmd+1tLZPciLu7voaK7j4qXl65ittZRsSG9hmN2jh3iiZysHst1Ya7m2eSUfnH/DsbG5bIGRwdy486MwYrB/lHu//RSz2up5/3+6nkTq1KvgIiJvVlqJFhEpx/g43jJK+ftxY6vAbR/73IaEpY1EwV789A0nv8aZnJ4xzG2pZ25L/ZTGxoxHa6Ke5ngNi9KtPNz9EvceWs+Oka5xY5OpOMlJXlhs6agniiz/8Oc/4pb3XELr3MbT9l1ERM43CtEiImXFiaXuIj/0Z2QHPoXrXQAmhY2OEgV7cGNX4Saune5JTkloI3oLw7w8epj1fTvYPLQPB8NFtfO5qWXNlK8Ti3kMD+YonIFtzEVEzicK0SIiZRjj4PhrSNT9d0q5B4iCzdjwCI47i1j6t/CTb8eYuume5im9NLiXJ3u3smVoP4dzAyyqauWdbWu5qG4B81Kz8E7oIV0sBORz43dYtNaSGc7x8E9fJB73iSdOX6s+EZHzkUK0iMgJrA2B6NjPjreEeNVcrB0FG4GJYZwqwMMSYTi3t7/+3oHH6C0Oc2HNXH5z4duZm2qmNpbGNZN3OX3m4W38y988cMKnliCIsJHl7e+9TJ05RGTG04uFIiInKGa/T1D4FQYfMED5x6Qbv5JY6r1nbW7Hs9ZSCiLyxRK+55bdyGXz4D5aEvU0xquPbbpysg1i9u08wsYndk343I95tM9vYsXF8/RSoYjMeFqJFhE5QVTaSpD7GY47B+POwjiNGKcJYyb2eTamahpmOMZaeGbbAb79wLNcsWIeH71t7aTjVtbNJ7QRh3L9HM71U4hKpNw4rckGWhJ1OCesSM9d3ELHwuYJ13GMwThmSjs0ioi82SlEi4icwE+9G+M2EZa2Y8MesBmwcXDqcL3FOP5yjNMwFqrN6d2FsBJRFNF5dIAN2zqZVVe+vCIXFrj/8EYeOLKR7vwggQ2JOR6zEnXc2XEV1zRdSNx9bRU7nytSzJeorU9jnPGBOSiFjA7nqK5L4bra9FZEZi6FaBGREzjehcS8pWBzWJsjCruISruIgj0EhYewue8DDo43Hy/xVrz41dMyz8hacoVTd8nY2L+b7x98gssbl/HR+TeR8hIMFEd4pn8n/77/EZpiNayuX3hs/IZHtrN5w14+8fnbiCfHl2107evln//653zyi3fQ0n7q1noiIm9WCtEiIicYK1eIYfExJolrEjhuK1GwiLD0ImHhCcJgB2GwHePUT2uIzuSLpxz30NEXWNu4jN9c+DYS7muh+JKGJfzl9nRRZMwAACAASURBVHt4vHfLuBCdzxYZHswy2Rsz1lo69/aQzxZOy3cQETlfKUSLiJwgigaxwQGi8CBRsJco2EEU9oDxcJwmHP8i/OS7cfwLcNy2aZzn1FaiB0sZ1tQvIu6Mf/Ew5cZpSdTRXxie0v2stfQeGaJUCDnpPuMiIjOAQrSIyAlK2bspZf51LDS7HTjeEnx/NcZtOe4FQwO2gI2GME75emRrLf3DWbbuOwrA8nmzaKhN47wSQktByJH+EaIoKnuNcrL5Er2Do6ccV+dXsT/TTS4skPISx+Y1EuQ4khugJVFHsRDw9C+3suGR7XTu6aa/Z5S//sLdOMfVPYdBRNe+XpasbKemLlXxfEVE3kwUokVETmQLjLW2c4jCw2Or0Ez+Ep2fvI149e+WvVQpCPnnnz7DvU9sAQM3X7aM33/vOqpTY2G2e2CU3//b7zM4mq98mtaSL556JfrqphV84+X7SLlxLqqbT8KNMVLKsXFgNwezvdzRfgWu59A+v4muvU0cPtCPjSylYojrvlbTYRxYfflCbn7PpdQ2TF9XEhGRc4FCtIjICfzU+/ESt0xprHFqT3o8CCO27jt6rHb5hV1dZPOlYyE6spbhTIHhTOUheqqubFrOQGmU+w4/y8M9L+FgiKylxk/x0QVvZWXdfFzHYdHyNhZe0Er7/CaeeXgbH/vsreN2JjSOIZ7w8bxze3MZEZGzQSFaROQEjjsL3FknGfHq6uyp64J9z2Xd6gUc7hsispZrVi0gnZy4UYnrGGY31lCTnnrLvCiKONI3wtApAnjSjfHu9iu5snE5e0YPkwsL1MXSLKxqpSFWjXPc9zDGMHfxrLE2drVJYmU2cBERmekUokVEyrA2ICw+BTbAjV8NeETBHoqZrxGFR4gl78BLvmPSTVhe5bkO77vpYtatXoS1ltmN1aQTE0N0OhnnN25byxUr5k15ftlCkW/c+zQPbtg54VhvYYjDuf4Jn9fH0tSTBuBIrp8juX5q/BTz0i3HxnQsbKalox4/pl8RIiLl6AkpIlKOLVLMfg/H7cCNXwE2T3H0HwhLW3C8eRRGv4Zx2/HiV5a9hDGGdCLG4o6mk94q5rl0NNfS2lQz5ell80Uaa9OTHnukexP/uPtnNMZrSDg+oQ0p9+ripQ1L+INldx772fPcYyUbURhN2urOcbVzoYjMbArRIiJlBdjwEE78BiBBWHqOsLSJePXncOOXkh/4LGHx6ZOG6KnyXIfqVLyicxzHkCpTblEfq6I92UhgQxJujLnpZhZXtdOWbKDaS1Ltp/CdsaCcdMffNwhC1v9yG7/4wUZ6jw5hj0vRjjFU16f4vT+9k9lzGir8liIibx4K0SIiJ2UwJgVEBPmHMG4HbnwtjlOHcRqJooE3ePWxAB2PeZWHaOOQmqQ0BOCGWatZU7eIzlwPBzI9HMh289zALn7VnaXKSzAn1cycVDML0rOZlx5fjnLw5R6+9dVfUNeQZtGKNl58eg+XXbeM0aEc2184wLpbL6KmXi3uRGRmU4gWESnLxTjNhKUXwcQIihvxk+/CmFqsjbA2g8PUyy8m01ib5osfuwXPdWiqraxtnOOYsiHaGENDvJqGeDWrahdQsgGjQZ7+wgh7Rg/zXP8u7ul8nGxY4PrmVXx62R3Hzu18uQfPd/ntP34XYRDR3TXAnb9xDdW1Ke773gYOH+gjDCep8RARmUEUokVEyjEJ/OQ7yA//BaXcD3C95fjJWzHGEIW9YxutxC57Q7dIxn2uvmjB6zrXdQyrF7fxyXdfxeKO5nHHImsJbEgYhfQVRziQ6eZAtpuDuT6684NkwwLz0rOYn57N6rrx9y/kiqTTCZpn19LfM7YRTBRa0tUJLr1mKX/1hbsZ7Bulurb8C5UiIm92CtEiImUYHLz4jSTrarBRP65/McZ5tYtFgJ982ytdO6ZvhkvmNLOovWnCLty7Rw7xwJHnOJjroxAW8RyXOj/NvHQLVzetoDXZQNqNk/ISE7cDr06QzxfJZYrEEz7WQte+XtrmNVIslCjkS0Rh5Tssioi8mShEi4iUYwzGJPHi6yYcctxWYulfn4ZJvcYYMBgcd2KXjE1De/lR19PU+ika4zU0e3U4xuFgtpeD2d5xY5dWt/OeOa/9z8CcBc1U1STZt+sIF14ynwtWz+Vfv/wgLzy1m8493TQ0VZOumXo/axGRNyOFaBGRcqxlbGMVw4Sl3nPc0uoO3jvnmrHSk8l61B2nyhsfiFvnNvKRT99M+7wm4gmfW+66lN4jQ2zasJeqmiR3fuwa6hu17beIzGzG2lM8XUVEZigbZSlmvo6XuBXXXzrheDHzHYzbhp+4bhpmN3WhjcZWrE/4HwFrLaGNcIwz4diJ8tkiA70jpKsT1NRP3ptaRGQmcaZ7AiIi564SQeFxbNQ76dGw9Dxh8emzPKfKbR3az6bBvZSicNzn2bDAE71b2J85OuGcKLIM9I6wdeM+Nj+7F4tl9pwGEqk4pWKA1l9EZKZTOYeISMUs1gZYWwCbf0NXyuaLHOwZoqk2TToZI+a5p30nwB92PUWtn+aCmjmAe+xzxzg80r2J1mQDv1V167HPoyhi4+O7+OE3n6Brby+e7/DFv/915ixs5vH7N9F7ZIjbP3QlyXRlfa1FRN5MFKJFRE4QhX2EpU3YaAAbDRAWN2CjkeNGWGx0hKi0FT/1vjd0r00vH+Z/fvuXzG6o5o51F3HTpUtwT3OIHiyOsqJmHjFn/CM/4fg0xKrpLQyP+7zn8BD3/NOjxJMx1t16EY/+7CVsNLbynK5O8IP//TjXvWO1QrSIzGgK0SIiJ7JZwsLDBIWniYIDFDPfAnNiNwqLF78SP3HbG7rVi7sPcbh3mO6BUdatXnTK2uTXxzD2guREFiaUZuze2kUuU+TTf/Ye8vkSTzyweewqxtA0u5bMcI5CrngG5ikicv5QiBYROYFx24hXfxY/1UV+6I/xk+/C9S86fgSYFI7bAqb6Dd2rq2eIIIyoq05y4cLZp72UA6At2chLg3u5qWUNdbGxrhrWWnoLw+zLHGVFzdxx4/OZIvGkT21DmvyhwWOfW2sxx/79tE9TROS8ohAtInICY1wwVTjMwY1dhuMtx42tOSP3yuQKRNaSjPu0N9WekXvc1LKav9x+D3+94/tc1bicGj9FX2GEJ/u2MRLkuLp5xbjxDbNqKOZLdO7pwY+9WkNtKeRLvLj+ZRpm1ZCqUimHiMxsCtEiIuWYOLHUBzBOzRm7Rdz3MGZsC2/PPTMNk1bUzuXjC27hJ4fW8/U995GPSqTcGPPSLXx8wc0sqmodN37xijZmz2nkn790H4svbCeXKfDUQ9vIDOd46pdbedeHr6JOfaJFZIZTiBYRKcvBuC2cyUflnJY6PNelUAwZGMlRkz79OwHGHJ8bWlaxqm4BfcVhSlFAzPFpitdQH6ueUIddXZfiw7/3Vn76nad59tEdeL7LA/c8S7o6we0fvJK3vvsS/Jh+fYjIzKbNVkREyrC2QCn7Qxy3DTd+Bcb4p/0eG7Yd4I/+108Jw4jPfehGbr1i+Wm/x+thrSUMIvq6h+k9OoTrOrS011NTl8b1tMWAiIiehCIi5dgCpdzdROEBztTjcvm8Fm69Yjn5UsDPn9rGkb7hs7qRya6RLn559EWCIORo1wD5V7puvPqCY21DmhUXz+OC1XOpb6pWgBYReYWehiIiJ+VinEbO1OMynYzxkbddyg1vWcJzOzr52o+f4sDRAcIowlpb0d+vx66RQ6zv285Qf4a//aP/YPeWrmPHNm3Yy/f/6TGCIDzJFUREZiYVtYmIlGNiuP5FROE+oAic/o4U1lp83+V9N67GRhEPPrODTXsOs3b5XJbNm0VdVRJ/Cqu/zXVVLO5oBiC0EYPFUXzHo9pLMlTKENho0vN6C8OENiIMQo4ctxINcHBvDxse2c5dv3ktnP5KFhGR85pCtIhIWXH81PspZv4Xpcy3cGNrwSThuPfwjKnFcZtf9x36h7N86buP0Hl0kL6hDIVSyN7D/ew93F/Rdd5x5Qr+2yfeDkBfYZgv7fg+bclGfmfxO/n6nvvozPZgmNiDurswyOKqttc9fxGRmUohWkSkHJulOPr3BIWnCOwvwKkd6yF9HC9xO4maz7zuW+SKAc9sPcDgaO6NzvaYmOOzqKqNpngNxhj2Zbqp8ZO0JRsnjI2wZ2iXRBGRNzeFaBGRcoyPl3g7buzqskMcf+EbukUq4fPWy5aSzb+xbbRXL35tNbkulua3Fr392M/VfpK75lzDpQ1LJpz3w4NPsWVo/9gPFjLDeQb6RgHIZQoEQcRg/yix+Gv1HAaork3ieu6E64mIzBRqcSciMo2iKCKTL73hjhy+55KMT164fE/n41zeeAEdqaYJx3559EU2De3jA1XX8n994B+x1pJIxgAYHc6RyxRoml07bjtyP+bxX//uQ3QsfP1lLCIi5zuFaBGRU7A2ApvHkgcbYYw3VhtNbFy4PB/1F0YYDrLMsrX86t4XyGUKpzzHcR1uvONi6hq0a6GIzFwK0SIiJ2FtQFh6kSD7Q4LSsxBlMe4s3Pg1xJJ3Ydz28z5Iwyubq4QRTPE3gus5b4rvLSLyeilEi4iUYW1EWHyW/PB/wzh1uP5bMCZFFB0hLD6D4y4kUftFHHf2dE/1pEpRQGgj4o6PMYbIRowGOYpRSNqNk3AnrqhbaykVA/LZItZCVU0Cx3WwkQUzthmLQrSIzGR6sVBEpKwCpdz3cb0VxKs/jXGbAQdsiTDYSWHozwkKjxJLvW+6J3pSz/Tt4Gh+iFvbLiXh+OwZPcw3Xr6fQ9k+rmm+kPfNvZb62PjSjO5Dgzzy0xd58ek9uJ7DJ7/4LmZ3NLD9pU5KxYAVb5mP7+vFQhGZubRjoYhIObZEFOzCS1yP43ZgTAJjYhgnjeevwfHmE5V2TvcsT+nh7k10ZrsxQDYs8J39j5APi9zYsob1fTt4omfLuPEjQ1n+9e8e4Bc/3IjjGPbtPEoxHwBwaH8f3/7qQwz3j07DNxEROXdoJVpE5KRcrM1jseM2K7EEWFvAmNO3lZ+1luFMnt6hDLlCiTCaeo1yfU2KuS31kx7rL45wQU0Hccdn09Be9me7+diCt3Jpw1J6CoNsG+7kne2XHxu/e8sh9u/u5j//4TtJVcX5y8/ffezY3EXN9B0ZIpspMrHrtIjIzKEQLSJSjonjxi6llLsHx23D8RYCLtg8QfFJovAAfuo9b/g2YRSx91A/9z+znRd2dtE/kqVQDAijqb+yctOlS/jsB26Y9JhnXBzjULIhT/Rso8GvYk3dIhJujGovRU9hcNz4/p5hUuk4F6yZS/fhQY4vffZjHhZLGIav67uKiLxZKESLiJQVw0+9h2hoM7nBz+C4czEmSRT1YqN+Yqn348UuP/VlTiKKLNv2dfPX//4rduzvphi8vnA6cpLWdO2pRp7r303M8Ximfwe3tV5G2ksce8HQd8b/KkgkYwRBSD47cQOYnsNDxGI+sdjpW4EXETkfKUSLiJRhjMFxF5Go/QuC4nqi0ktYm8XzV+HFLsWNXYIxqTd0j96hUb724yfZvOcwlrEdDOurU6QTMWIVvLjXMau27LGbZ7+Fr+z8Ed898ChLqtu4btZFGGMYLGYYDrKsqJk7bvyi5W3EEz7f+8YjXLBmLkEp5GjXAIc7+7jnnx7jLeuWUN+kHtEiMrOpxZ2IyCmMPSYjIGCsSNkBPIx54+9mP/TsTv78fz/IaK7A7IZqPnDzW7h61QKaatM4FbSQc12HuD/5ukhoI47mBxgojtKRaqLGS2GMYaSUY9PQXhakZ9OabDg2Poosz/xqG3d//REOvtxNNlOgtj5NqRRy8ZWL+egfvI3WuQ1qcSciM5pCtIjISVgbYsN9BIUnCUvbwOYwThNu7GLc2BUYp/4Nhcm/+e4jfPeh50nGfT793mu5/aoVeN70t44Lw4ieQ4Ps3trFkYMDeJ5Dx8JmFi9vp06r0CIiKucQESnH2oiw9BL5oS9iwyM43lwwcWywjVL2brzk24lXfw7jNr3ue/QMjBJGES0N1axbvfCsBWj7StuP4zuOnCie8Jm3uIWOBc1jY41heDDDyFCWlo4GYnH9ChGRmUtPQBGRcmyeYuabOE4TsZo/wfHm8Gp3jrD4AoXRrxLk7yeW/tDrvkUpDLEW6quTJONn5mW9FwZepq8wzDXNFxJzPA7l+vi3/Q9zMNfDuuaVvL31Uqq85LHxvUeG+Le/f4i9Ow5jnIkh2/c9fv//vou2eWpyJyIzl0K0iEhZATbYS6zqN3Fjl71WtmEtJtlBUHiIKNj9hu5Qk07gOIZCMeRMVdc9eGQjFsuVTcspRgHf7XyMzUP7WFLdzg8PPkVDrJobW9YcG79l4z42PbuXOz96NbM7GiYEacdx9GKhiMx4CtEiImU5GLcZa3OMvVD4Spg0BmwAGIzT/IbusHROMzHPpXdolEM9QyydO+uNTnqC7sIglzUsJenG2DnSxdah/Xxw3g1c1bScL+/8ES8O7h0Xohuaq2mb28jSi+bQOrdxrMTkhAVpP6ZfHyIys+kpKCJSjkngJ99JKfdzHGc2jr8SY3xs1E9QeBQbjeLFr8ZGx22BbWIYE5vyLdaumMecWZvZf6Sfnzy1lf88q45U3D/tnS8SbowIy1N920h7CdY2LqPaT9EYr6E7P36zlSUXdtA2r5G/+aP/oH1BM4mEPy5Ee77LBz55I82tdad1jiIi5xOFaBGRcmyRoLCeoPgUYfFZjFMDOGCLRFE/xsTJDX6esVXqsVIMP/VB4lUfm/It2ptr+eDNb+Er//EYP3l8C7WpBLesXUZrUw2u45yWMD0rXse24U5aEvU807eDtQ3LqPPTWGvJBgVcM/5lxh0vdfL8E7upa6oimYrhndCv2vNctbcTkRlPIVpEpBzj4PoX4rhtUz7F9ZeP+zkIQ9ZvOcBo/pUdBV8te361MgRDMu5z9aoFPPDMDr5+79M89NwuVi5sZW5LHbXpBL7vjQ0/Mbced622xlouWtQ66ZxubFnNl3b8gI0Du2lLNHDT7DVjnTZKWfqLIyyqGn9eNlOgtjHNZ/7i12hqrcMYFJpFRE6gPtEiImWMPR6DCs9yMMet7GbzRT71pXvYf2Rg0tEGcBxDFFmGs4VjLxcaY4j7Lp7r4kzSIeNEt6xdxhc+fNOkx4pRwI7hg/QUhlha3U5rsgHXOAwWR3msZwsraueOC9Jd+3v51pd/QXNrLUtXdpBIxcYFeMdxuGDNXFLp+BT+e4iIvDlpJVpE5ATW5rBhL8ZtGVffbKMRwuJzhMEuHLcNN34lxpx8sxVrYTRbYDiTr3AOlnwxYKohPpcvlT0Wczwuqps/4fO6WBW3t18+4fPD+/vo2tfLjpcO8Nh9myasgvsxjz/+ykdILXxjL1WKiJzPFKJFRE4QFl+kOPqPxKs/gxtbBYC1BYqZf6GU/R44aYhyeIkbiFf/PpjastdyXcNly+cyd3b9GZ3zBfNO3dXDWntsk5XxzLgtxi+8dD5//JWT9b42NDRXVz5JEZE3EYVoEZEThKUtRNEgxh1babXWEpW2Ucr9EC95K37y3YSlbRQzX8MtXIGfvKXsteK+x+c+eMOk0fV0OlnBx3Apy6+Ovsjmof3kw+K4Y65xuLB2Hu+du+7YZ8lUnGRq8lKNXLbIxid2svKSBdQ2pE/H1EVEzkvOdE9ARORcY6N+jElgnFe38y4SFJ4Ak8JPfQDXvwA/+XYcp4WotOmk1zLGYMzYSu+Z/PtkJSWPdm/im/seoqcwxMuZI3RmeyhEJXaPHqIz10tDfOqrypnhHPfdvYGB3pEpnyMi8maklWgRkUkZXl3ftVEfQf4h/MTNOG7L2FGTBJMiioamcY5T81TfNq5qWsHHFt7M9w48RsqLc1fHNewc6eL7Bx+n1k9TyJcoFkqkqhJEYUShTI318GCGof7MGdtdUUTkfKEQLSJyAsebQ1D4FVFpM463iFLuXqwdxo1fCYyVOVgbYm0OY879P9AbDfKsbVhGvV9Fwo1RCEukvDgX1c3nyd6trO/bQd9Dg2x6di/v+0/XM9Sf4f7/2DDptXKZAr1HBic9JiIykyhEi4icwItfS5D7ObnBz2OcamzYg5d8J65/0bGyCRv1gB05tjJ9KqO5Al/694fpGRzlwgWtfOL2K/DcsxPAk26c4SCLxVIXq+KFgT3kwiJxx8MzDn3FESwQBiE2shza38vmDXtZuqoD54Q5hkGIFqFFRBSiRUQmMM5s4jWfp5T94dgKdPI9eIlbMea1l+1sNIzjLcWNXTqlawZhxPO7uug8OojrOERnMYkurW5j18ghRoM8S6va+UnXev5170O0JOp4bmA3lzUs5aY7Lub6d6wmFvfY/uIBVl2+kN/8/G3E4/64ax09NMCXvvC9szZ3EZFzlUK0iMgJzKs7FdYsB6JXNk8Z/+Ke480nXvN5jKma+oWnaQX37bMv5WCul4QbY1HVbN46+2J+3PU0kY1YkB772Y95+K+0xG6aXcuKi+eRrkpM2PI7XZ2grrFqShvAiIi8mSlEi4iUMVbvPHnJhTGxcRuxnMtakw3MTjYc2zTlzo6rWNuwlFxYpD3VSI2XGjd+zZWLsdbiTlJuUlWT5PYPXUlDc83ZmbyIyDlKIVpE5E3OGDNuHT1mPBZUzQagEJbIBHmq/OSx45OF51clkjH+f/beM0qS87zv/VXsPN3Tk9NO3JwzFhkgmEBSJEHKtGhStCVbVPb1Obavj2Xf+8G6176SdXV9LImyJFtUpEiRAkkQIMFFWmARFptmc5icQ09PT+dUVe/90LO90zthZ3ZnZ2eB+uHMWXR1ddXb3VXV/3re5/k/Bx7ffK+GamNjY/PAYItoGxsbmw8xF6P9XI+P8HPNTxaXCSEwTYvJkRmmxqMYhlnyGlmW2LyrCZdn4YYsNjY2Nh8GbBFtY2Njs8ZkcgajoSiaunruHG6HTnmZ+/Yr3sJoepq+5ETJsmwmz/f+55u89ZMLCEsg3ZL/rOsq//b3/jGNrVV3NWYbGxubBxlbRNvY2NisMZf7J/jfv/HCkl0GV8rju9v41eceBSBj5uhNjGMto5KxPzmBYZVGmq+fH+a1H55l/6Ob2HOkHf0Whw5ZlglW2znRNjY2H25sEW1jY2OzxqQyOXpGwqu6zc1N1cX/n8xE+c9Xvo0QIN9GqEfzSXb6W0uWTU1EKQu4+dIvP0WFLZZtbGxsFsQW0TY2NjZrjCJLOHXtVte8u8Kh37ycm8IEAc81PUyF7lvyde9OXSVrlbb4djg1XB4HusP+ibCxsbFZDPsKaWNjY7PG7Gyv51996YlV7VhY5nHOeSRR5fTzSOU2apzlS74umk9xMdpfsqx1Sx1ur5N3X7nM4ae34i1zLegLvZrpKDY2NjYPGraItrGxsVljvC6djU1V6Kpy+5XvgCpnGV9t+Qh+zXP7dR1+ap3BkmW5TJ5sJsf/+q8/5tiL5yiv9CErNwWzqin83K88TVVdYNXHbmNjY/OgYItoGxsbmw8YXtXF3vL2Za27t7yd7f7mkmWRqThCQMumWkzTYmoiWvK8pinzbO9sbGxsPmzYItrGxsbmA0jKyNA508t2f/OiEemcZTCZmSGgl7Yu33mojS17Niz4GiNvkknlCFSsoN25jY2NzQeQ1UvIs7GxsbFZN3Qnxvib/tfpjo8uuk4in+bP+47y+sS5kuWqquByO0r+jLxF/7VxXv3+Gb7x2z9kcmzmXr8FGxsbm3WNHYm2sbGx+QAykp4ia+Vp8dQuuo5PcyEB1+Ij854z8ibJRIbR/ik63+vh0ul+JkciCAHb9jXjcun3cPQ2NjY26x9bRNvY2NisAYos095Qgcel01gdWE13uwXJmHkUScanOhddR5UUdFkjZWSKy5LxDEO9k1w5O8i5Ez30Xxsnm8mj6Sr/6JeeZNfhNiprynC67ZbfNjY2H25sEW2zpljCImlEyVrpZa2vSApetRxNtqNeNvceIQR5kSNlxDCFiS47cKs+FOnuL5Vup8a//vJTGKaFU9dW1d5uIbyqi7xlMpGdocm9cHvulJklmk8S0Lykklle/vv3OftON5FQHAFs3tXE0z+zl0un++m5PMonv3QI5R6P28bGxuZBwRbRNmtK1krx6sTfcSn63rLWL9MqeK7x12hwL89pwMbmbsiLLO9N/ZizkTfImEkqHQ08XPVptvgO3LUnsiLL1AbXrvtfm7cWgeDHoyf5SstHcCl6yXswhcX5mT4GkpMcbNpEMpbmh3/9Lsl4hkNPbuGZz+2jY3sDbq+D0OgMPZcXz622WTsuXxulb3AKSZLoaK1mU3vN/R6Sjc2HFltEryOEEOSsDHFjhuncGOPpASK5SZJmlLyVRQCa7MAhOSnTggQdtVQ5GvBrlbhVH5rkWPfND268x5QZX9b6muzA4sG10hJCkDRjpIzYvOcUScWvVaLK2rK3ZwqDaC6MIXLzntNlJ2VaBbJkRwrvlL7EJd6e+iEJo2DpFjOmMYVBo6sDn7Z005L1Rou7mieqdvLD0feYzsX5SO1eahwBJEkiYWQ4NX2dV8bPUu+q4KHKrfhw85XfeIb3Xr1M39Ux/vz3fkJVXYA9R9oZH55GCIFlWvcsEm0Kg5lcCFMYJctlSaZMq0CXF09L+TDx+tvX+O4LZ1AUma/+7EO2iLaxuY/YInodIBDkzAy9iYt0Jc7Sk7hALB/GFAaWsBAIQMyuLSEBEjKyJKNKOpWOelo822jz7qDFsw1ddq5bMS1JErJ0bxpMrEcEglPho7wZen7ec36tkp/d8C+pd7Ute3szuRDfHvx9prLzC8E2+vbyucZfxqXY1mN3Sig7TNpMliyL5cPE8tMPnIhWZIXPNT6MJEn8ZOwUr0+ex6M6USSZpJFFkWR2BVr4Wssz1DoDSEg8+ek9PPzMdsaHp+l8t4crZwd4/pvHCY1FCVR4+PG3HyfFeAAAIABJREFU32fb/maaO2rQ9NX9+UgaMf524HeJ5CZKlnvVAF9s+k02eDav6v5Wk0Qyw9vv9xBPZFBkmd07GmlrXjiFxsbmQeLcpWG6eycRCBRF5qH9rdTV2E2WbmCL6PuIEAJD5OlPXuZk+Kf0JS8tI0J7Q1KbWMLEEHmG010Mp7s4E3mdTWV7+WTd1/Cq6/Mgd8gunqr+WfaVP0XaTJE246SMOGkzSdKI0pM4z0w+tObjMoVBIj+DKQxUWcer+ldJ7Be+44VywKdz48zkpqhzti7rpkcIQcKYIZQdImdl5z2ft7I377Vs7ghFUmdvU28iS8qq5ETfDwK6h59rfoLHqrbTnRhjMjODIUwCmpc2by1N7ioCmqd4/CmKhMvjoHVzHS2bavnYFw4wPjxN96UR3j92lR/97bu89O0T1DdX8Cv/4WdWtWOhKmkIrHnnilO4cSjrNwothODS1VH+4H++TjSWRpLgC5/ezy999TGczuXPMtmsLolkljPnB/GXOdm2qR5N+/AEb1aTk2f7+cvvvAuArilsaAjaInoOD+YvwweErJXm9PSrHA/9gJgR4W4VUMqMoUtONGn9Vs3LkkKFo46gXrDdunFLIADDyvEPw3/ITHTtRXQ0N8U/DP8RSSNKvbttTW5EDJEnnBstCHfp9j+2AkE4O76ggLZZHRpc7XhVPzP5KaAw71PnaqFcr77PI7tzdFmj1VNLi6d29kxjdjZLWvLmTZIkPD4nbVvqaN1cy5Of3sPYYJhzJ3q5dm4Iw7BWdZyyJOOU3fOXo+BYYPl6IZ83uXBllFi8IP6FgM6Lg0SiKeqc/vs8ug8vV7vG+P3/8Qq7tjXQ1lxli+g7xOu9qSckWcLrWb/64n5gi+j7wI082dcmvsO5yDEyVmreOqqk4VPL8WnlBPWa4hR9xkoRy0eI5cOkZqO4gsKPWZkaZHfgsQcid/DGj/fcqJ8lKfctDWU03ctg6hqmyONSPJhibfKwx9MDGCKHynJEtMVYpm8NRvXhpcHVwSfr/ilnI2+QNpM0uTdyIPhRHIrrfg/trpCkG2fays8vSSqIbYdTpmVTLc0dNaQ+tw+na3WjrBISzgVSkXTZibqO3Xki0RSnzw8gBGiqgmlaDI5E6OqdpK7GFtH3AyEEF66MEk+kMc3Vvdn7sOHzOJGkws2hQ9dwrHIa14OO/WmsMQJB1krx5uQ/cGr66LwiGgmZJvdGdvgfpt27i0pH/bypZIEgaUSZyAzQn7xCd+Ic4+kBOnx7aHB3rNt86PWKEIL+5BWsW76Le4GMgibrxSnrycwQeSuHU1m4LfNcLGEynu4vPpaQKRwNdg7HaiFLCtv9R9juP3K/h7JukeRChHrVtyvJuBY4D5yKB3kdN9ftHwrT2x9CliV2bK2nfyjMTDTFe6d7eewh+3p8P8hk8nT1TJDLPbhF6esFn/fmue716KiqHdGfiy2i1xjTMjg1/QpnIq/PE9A+tZy95U9xMPgMAb1q0ZxcCQmfVohSt3p2cCD4DMOpLoKOWttP+Q7IWRlG071rIkYdiotaZwt9yYsAxI0I0Xx4WUVrcWOGaD5cfFzr3EA0P03KnO/8YXNn2ILn/lGIRM8X0S7FvW6/FyEE75/pI5cz8LgdPPP4Vn7w43NEZlJc7RonFE5QXelb0fayOYOpcIJkKotlCXRdpTzgJlDmRpaleTn7a40QAtO0iERTxOIZsjkDSQKXU6fc78bndSLLKx+jaVrMRFPMxNJks3mQJJy6ir/MRcDvXrYrjBCC8VCModHpFY/hfiGEIBbPMD2TJJ3JI4RA11R8XgcBvxunYxkzlUKQTOUK20jnME0LTVPweZ0EAx70O4wg++akc7hdDtsn/hZsEb2GCCEYSnfx9tQLpM1EyXNlapCP1X6FnYFHVmR5psgqAb2KgG5Xgt8poeww0dkc2HuNQFDr3FAU0Tkry0RmgEZ3x21fG8oMl6T+1LpaSS5gnWdj8yAiIS/oLONUvLOzLuuPSDTFhSsjmJYgGHBzcG8L13smud47wdjEDJevj1FV4V3WTYBlWVzvmeSlVy7QeXGIiVAMw7Qo8zppa67iqcc288SRTWi6grzI9voHpzh67ArZnEFdjZ/PfmL3siKHXb0TvPH2dbI5g6aGcj725DZcztKAjBACIWB0fIajxy5z+twAw6MzxJMZZFmi3O+mtbmSJ45s4tHDHfi8C7tECSF471Qvp88PEgx4+NRHdyKE4LW3rnLsnesMDIeJxjPIkkRZmYsNDeU8eriDZx7fSsA//4bqxo3H+GSMkbEIQyMRrnSNMTpRsKns6Q/xp3/9Fro2X+5UV/r45Ed2lERbAdKZHN974QwzsTSBMhef/MgOKoKLux6FpxP8w4tnyeYMaqrK+MTT2+dtEyAaS/PjVy8yNZ3gof2t7N25gWzO4P0zfbz8+iW6eieJzKQwLQuvx0FdjZ9De1v5J188jNu1cIBMCEE6neNk5wCvH79GV+8E4UiSXM7A7daprw2wa1sjn/zIDlqaKlYsgt1uHUWWMUxrNhK9Ps/F+4UtoteQjJXiRPgnxPKld8hupYzHqz+/YgFtc/cIYTGRGSRhzKzZPsu0IJrsIG9lMUSOyewwQoglf2iFEISyw2TNgohWJIWgXkPfh8gu0OaDjSRJi6dzrEPvcyEEXT0TjM2KtY7WaiqCXvbt2sALPz1HMpXjwuVhDu9twbWIALqBYVqcOTfAH//Fm/QOhLCswvXAoSvEEhlOdvZztXuc6z0TeFw6iiJhLTBxpigyx0900TcYpr7Wz+5tjXS0LV0Ua1kWr7x5he/+8AwCwec/tRdtAeEthOD0uUH+7K/foqc/RC5vIssSuq5iWRbjkzHGJ2NcujrKuUvD/MKXH6G60rfgde385RG+84NT+MtcdLRV8frxa7zx9nWSqSyqKqNpCkbeJDydIDyd4Fr3BF29Ib7+tccJBkqFtGUJvv9SJ8+/dJZ0JkcqnSeXuznLOzI2w8hY54LvfcvGWp54eNM8wZvNGvz41YsMjUZoqi/nyMH2JUV0NJ7m+ZfOkkhm2bqpjsePbFxQRCeSGX76xiW6+0JIQHtrNT/8SSfPv3iW6ZnS2qhYPEMsnqGi3LtoUaQQgploir/8znu8dvwqkdlt6JqCpikkklmudo3T1TvJmfODfO1LR3jkUPuKUjI0VcHl0oknMrhdjnveafVBwxbRa4QQgp74OXri50qWy8jsDz7FvvKnbQF9H8haGYZTXRgivzY7FAKH7CagVRLKjmAKg6nsKHmRRZcWzzM1RJ5QdqQ4To/ip0yrWLVhWcKa9SU3sLAQYtbBQZKRJQVVUpGQ1+20+oOOEAKLG9+BiRAWApCkQoRWkVQUSb1nYlIIUdg35qw3/c1jAElCpuDvLksKMvemAHixSLRL8azLSHQ2Z3Du8jDRWKG+4dC+VhRFpqO1iroaPyNjM5w6N8Bzn9pHw21EdG9/iG988xg9s7nV2zbV8cQjm6ipLCNvmPQNTHHs3ev85NVLlAfcGIaFvICYaagrZ9e2JgaGpwmFE7x3ppfW5solo4+hcILOC0PkDZPKoJdHD3XME1mFQr0R/vufvUb/UBiXS+PR/a3s27mBinJvYYyDUxx/r4vBkWlefv0Ssizxy//0Cfy+xYtyE4kMf/bXx+numyQY8PCJp7ezsa0al0snkcxwunOA9073kUrneOXYZTpaq3ju0/tQldLjz+d10tJ083oYjaW52jWOJQTBcg/tLVULir+mhuB9K5QbHpvhpVcu8J0fnMKha3z0ia20t1Th8ThIp/MMjkxz5foYB/Y0L3hTAxBLZPiLb7/LCy+fxzAtmpsqePRwB61NFWi6SmQmyftn+jl7YZDuvkn+6M/fwOt1sHfHhmWn3GiqgsddENFej8POib4FW0SvEVkrzeXYCVK3pHFUOzewr/zpe+6oMZUdIZKbLGb9KijUuJrxqiuvHp/OjjOVGys+lpGpcW54IJpRWKLgQ5s0oqSMOKHsMP3JyyXrpM0kfYmLuNXltWiuc7bgVQPL83pGoCtO/LMiGgrNPBJGlKC++DGQMZOEs+PFxx7Vj1f1Y3F3leemMIjkJhlN9zKa7mUyM0TCKHTIlCUFt+Ij6Kih0b2Relcb1Y5GVElftojKmCnG0n3k53RYdMouGt0b78qHWyCI5sKEssMltm0BrYoqZ+NtxzSS7l62A4tHKbunbedzVoap7CjDqW5G072Ec2OkjDhW0bM8QJWjgQZXB/XuNoJ6zar5VlvCIpYPE8qOMJruYSo7ykx+iqyZIm/lkCUFXXbiVrwE9GqCeg3VzibK9erZLoKrZ3dVyImeb2W3XgsLY7E0nReGAAiWe+horUaa/f9tm+oYGZthfCJKV+8EDUv4aecNkxePXqB/KIwkSeze3siv//OnaW2qQFWVYrrCwb0t/NGfv0FX7yQA+gKiUJYlHj7UxitvXiaZynG6c5BnP7KTYPnChcuWJejum2RguDA7urGtesEmMdMzSf72e+8zMDyN06Hxs5/Zz3Of3off50JR5OIYD+9t5f/7k1foHZjirfe62L6lnk89s3PR64VpCa51jdPcVMHXf/5x9u7agMupIUkSliU4cqCdmupT/P0PT2MYFsfeuc7Hn95eIsxlWeKpRzfz8MGbTavOXRrmt3//RXI5k03tNfzGP38ar3v+jYyiKHg996eO6PK1Ua51j9HeUs1Xf/YhNnfU4HY7UOTCe09n8kRjqUUt5YQQHH+vi1fevIphmmzZWMev/+JTbGyrLt4YWELw+JFNfPv7J/nuC2cYn4zy9z88TUtjxZKR9bm4XToH97YwMRljy8ZadNsqsARbRK8BQgimc+P0Ji4y1wtak3R2Bh6hytF4zyN8p6df463Q94uCw6V4+ULjb7DVf3DF2zofPc7R8W9x473ospPPN/4quwKPruaQV428lWMwdY3xdB+h7AjRfHi2C12EtBmfV1A4mR3i74f+27K3/3Mb/vWy3RwEAhmFCkc9PYkLCCyiuSni+QjlWvWiOYQpM85UdnR2iUS5Xo1L8SDEnRVDWsJkOjfOqelXuR4/SygzvGh79d7kBU5Pv0qZVsEm314OBD9KnatlWUIuZ2V4efyvGEpdLy4L6rV8peXfUePccEdjh4Kn+Hvhlzge+kHx+1MklU/V/+JtRfRUdpRvDfzXeXUJi7HFd4Cvtv77Ox7rYhhWjtFMHyfDR+lNXJj1pl74+7weP4OMQpWzgS2+A+wPfoRyvfqOb0SEsIjlI1yMvsuF6HEmM0MLNgRaCE1yEHTUUOtsYXPZfjb59i2YhrFSJElCl50oklpSdO1SlpdTvNZ094foGywU+m7dWEtNVSF1we3S2b2jieMnusnmDN491cvjRzYiywvfCAyNTHOysx/TtAiWe/gnXzhMR0vVTRtQScLp0Nizo4l/9NkD/O4fvEwuv/gN4Ka2GrZsrOP0uQEuXhuhb3BqURGdyeZ571QvqXQORZF5/MjGBUXbmfODnOzsRwjBQwfa+OJn9hPw37zhuTHG3Tsa+ewn9/DH3zxGLJ7h9beu8cjBdsoDix8fbrfOzz13iMMH2kqixbIsURn08uwzO3nn/R4GhqeZCMUYHong33JTRN/4zOfmDHs9jmIBpq4pBMpcC6ZX3E8i0RQbGoP86j97gs0dtSXHuKIU/JiX8mSenknyk9cuEYunCZZ7+NqXjrBjS33pdiSJinIPz31qH+cuDXO1a5xzF4c5f2WEpx5ZXgfQiqCXf/NrH7/zN/oBxxbRa4JgNN1L/Ja8W58WZIvvwLr8gfggkTSiHJv8LkOp6+St3H21hBMIDJGj2tGIJuvkrAwpM040P4Vg06KV9/F8pJi3rUgKNc4NxWn3lWJYeXoS5zkWep7hVBfmMlJZBIJoforT068xkLzCY1WFHP7bucH41AAtnm2MpnuLwiiej9CTuEC1oxHpDtMTEsYMPYnzJd+lX6ugxbPtjra31mTNDOdmjvHu1ItMZUeXNaNgYTKRGSScHWM43cXjVc/R5t254hQPISzGMv28Mv4t+pOXly2eb5AXWSYyg0xmhhhN91DjaMLlunsRDaDKOprkKBHRTsW17tI5CvnBA2SyeTRNYeumOryegkiTJIkdW+opD3gYHZ+hq3eSyak4tdXzZ/2EEPT2TzE5VSgQbm6sYPstQugGsiyxZWMt9bUB+ofC856/gb/MxeF9LZy7NEQ2a3DidB/7dm1YcJuhcJzOi4Voen2Nn62b6uZN81uW4PiJbgzDwu3SefRQO2WLpGhIksTenU2U+VykM3l6BkJMTsUXLAi8QUNtOQf2NC+aa1tX46ci6GVgeJpszmB6Jrnoe3+QUFWZIwfaCzMYK9QAQgh6+kP09Bcak21srZ4noG8gSRJVFV62b67nWvcEmWyecxeHePLhTbb2WAXW15XpA4qFRV/iErdGmVq92wnolfdnUB8iBIK8lcMSFoqkokpa8a8QTS29kEhI89Zb6m9FQlAUxlLraimm8AgEE5mBeZaHcxnL9BUFsyKpNLjaMUR+xTcEpjC4GH2H7498g4Hk5RIBLaPgVDx41QA+NYhPLcet+Eq6KVqYTGaHeWnsm7w39RIZc36joLlIkszWskO4lJs2X3mRpSt+dl5q00oYTF1nMjM8d09s9O0joN3+fNIknYBWhU8N4lX9uBUfTtlTaOqxjM6Rd0vaTPLu1Iu8PPZXTGaHSwS0Jum4FV+h0ZJajlf145TdJekMhsjTk7jAD0f+hK742RU1BioUqI7w0ug3uRY/XSKgb3QG9Kj+2f0H8aoB3IoPXXbOS6kQCOpdbauam69JekmKiCpp6PLCLg/3k3AkycWrI5imRaDMzZ4dTSXis7GunI7WQlrE6PgMV66PLThrlM+bDI6Ei37GWzfW4tAXPgYlqRCZra9dupOqqioc3NtCTVUhHe1kZz9T0/PPtYI9Xz+TU3EUWWLX9kYa64PzPutINFkU7YVCwOol82l9Xhc1VYXzPTKTJDQVX3RdSYINjUEql0gt0DUVj7twTFiWRSazRvUr9xiv28HeHU13lGNsGBa9/VMkkoXutds21y3ZYl5VFRrqAjh0dbYZ0HRJ8aXNnWNHotcAw8oTyg6XLJOQaXRtfCC6Cz7oOBU3e8ufpN27a95zGSvFhZnjJIxocVmZVsF2/0M45OV1qatyNCx7LIKCkC3Xq/EoZcXo8kRmCFPk0Zgf2RUIxjMDc96PhwpHHdO5iUIbqWViicLN3GsT37nFIUai0lFHu3cXrZ7tlOs1OBQXpmUQzU8xnO6mK362JJqcNuO8GXoeh+LmQPCZJaOhlY46Nrg3cTl2orhsKHWd6dw4bmXh6v2lMIXJ9diZkhsAl+Khw7trWedTpbOen2/9LTJmioyZIm0myJhJ0maCqewIZyPHyFj3JtplCoNzkTd5J/yjErtCXXbS7N5Kq3c79a42vKofRVLJmmmmcqP0JS/RG79AJD9ZfE04N8ZrE9/BqwaWnbNtiBynpl9lMHV1zlIJv1bBJt8+mtwbqXTUz+YhK+RElqQxw3R2gsnsEBOZQaayYySMCLrsZJNv37IaBS0XVdbQ5nyHmuxAldaX9/2NKODIWOHcra/107qh9OZNVWX272rmzXe7SKVzXLgywuH9bfNsynJ5g9DUTYFbW+1nkawPAFxODX/Z7a9LzY0VbGqvKeRlT8Y4f2mYpx/bUnKuJVNZzpwfIJ3JU+Z1cnhf64IFbBOhGMlZsWYYFucvj9A3sLglaDKdI5Uu1EAIAdF4BssSKMpC0XV5UQePuRS6Zha2Z91hCtt6Q9dVqlbgIT6XXN5gZCxSfDw5FefYO9cXtT4E6B8MF2/kMpk86UwexzL8p22WxhbRa8BMPkTKLL0bdys+Kh11d1VcZbM8XIqXQxUL53RFcpP0JS6ViOiAVsmjVZ/Fv4oRtpsUXBAcspMaZzMT2UGgUPiZMVMLCpK8lSU0J+pa7WjCpXixxOiKItGR3ASvTHyL8JyiUFXS2OzbzxPVX6DW1Twvz7nW1cwm3z72lT/JmcgbvDf1UvFYTplx3gp9n2pnI83uLYtG5F2Kl81lB7geP4sxW2CYNhNci52h0bVx2eO/wVR2hKHU9ZL3XuVooNW7fVmCXJFUyrQgZVpw3nOj6T6uxE7eExEthMVQ6jpvhb5Pcs7xVqHX8WjVz7Ddf2TBm4omzyZ2+h9hKHWdVye+RX/yanFWYjTdw/HQD/iZxl9a0NmidP+CSC7Eldj7JbMe9c5WPl73FVo82xd3CPIVbsJSRoxwboyB5FVm8qE7SidZioBWxWcbv07WLETIVVm9q9z5e0E2Z3Du0jCxeAaA0fEo/9fvv1QSnRXAzBzLstPnBnnu08l5Ito0Bcl0tvi40Nhi8WNYlmVcTu22zgqqqvDkI5t5+0Q3yVSW9073cnh/azHlRAhB32CYK9cLxcptLVXs2NrAQqdPIpkt5mCHwnH+328cXXLft5LJLh45lijkRH8YkWUJ1xLR46WwLEF09vgDePHoBV48emHZrzcMi7xhd3NcDWwRvQbE8xHyVq5kmUv14lGXnpaz+WAiEKiSTo1rA8xqqbSZZDo3vmDTnEhugpRx8yasxtmEQ3GtSEALBOdnjjOc6i5Z3u7dzcfqvkKFXreoAJUkiYBWzWNVn0UIizdDzxdF2HRughPhl6lyNOJZxM1EkmSa3Zsp16uKjiQA3YlzPFL1mRUVpVnCZDB1bV5znA7vHpzy6kVE7wVZK83J8FFm8qHiMrdSxkdqvsQ2/0NL5perskazZysfrf0KPxj5YyYyhZsvC4uuRCdDqets9O65bWpRLB8mkrsZzZaR2Rt8klbPDhR56Z8DWZLxagE8qp8GVwemMFZ9Js2huGj37lzVba428USGsxcGi49D4Tih8OIpC1CI5l7tGqexrtTBSAiBYd5M51EUeUEhOxdNXZ7F4Ob2GlqaKrjeO8nZC0NMTMbwtha+r0JEeZjITBJJknhofytli7RyNwwLy7KK41tpgZ6uLxEokkBZKvT+oCAWKwlemjvNUrKEID+nuNTjdizqJb0QPq9j3aVIPajYInoNSBoxDKv0btwpu3DfJnJk80FFoEgq1Y4mVEnDEHlyVoaJzCBtCwiIyewwabMQGVUklWrnBjRpZdZi09kJLkTfLilELNeqeaL6uSUF9A0kSUKXnByq+Dij6V6uxU8X30tX/Az9ySNs9z+08GuRqHDUscGzlansWHEM4ewo/cnLKyquTZsJrsfOlPh6u5UyNpftW9c/CgJBf/Iy3YmbPvGKpLIz8Ajb/IdvW6AJBRHb6O5gX/lT/GTsL4s3UWkzwaXoezS7t+JQlp7qT5nxkmNAkx0E9drbCui5SJJUqAfgwzkV3NUzyeCsJZzbpc8WzS28biabJzKTIpPNc+J0H08+snmeA8XcHOhczij4cy9xKOcNa1muPJUVXo4cbKenP8TUdIKTnQO0txYar8QSGd55vwcB1FT62Ltrw6JexA5dLY65vjbAv/m1j63I5qyQorLEG1q/p+2ysYTAWMPIrixJuJw3z9kvf+EQ+3ZuWLYodzq1Jf27bZaPLaLXgKyVnmcfpsq6nQ/9IUaSCnmoXjXATD5E3soRyo5gCatketwSFlPZ0WIBmFvxUaHXrkgwCiHoS14s5FDf2D8yrd4dNLo7VrQtn1rO7sBjDCSvFlMeMmaay9ETbCk7sKjtnSwpbPEd4MLMcXJWYRoybSboiZ+n3bsLfZk3BdPZCQZT10qWNXu2ENRrl/0e7gemZXAtfqakTbtb8bE78CjqMgT0DWQUWj3b8WlBYvmbDg0DyaskzdhtRbRyS+GkIfKzntTWuuwKuN6wLMGpcwOkZy3hPv7UNr78hcOL5qL29If4nT98malwgu6+SSYmYyWe0Yoi45tjYzYTS88K5MV8lS1S6SzWQu0Kb0FTFQ7uaeFHRy8Qnk7w/tk+PvfJPTidGte6xxkejSBJsKm9hpbGikWvA2U+J/qs77CiSDTWly9ZCPhhJJ3OYxh359m/ElRFLrEYLPM62bKxdsUtvW3uHvsTXwNMkccSpSfYjQ5kNh9eyrQK/LNuEgKL6ew4GbM0FzdnpQllR4rRQ6/qp8JRt6L9ZK0U/YnL5K2buZeqrLG17NCKj0FJkmj37S5JOxFYjKZ7S9IEFqLB1Ua962ZDBIGgK9FJNLd4kdJchBBcjZ8q8XfWZSebfftXxaf4XhLLhxlOdpVEgetcLVQ6Gha1NVwISZIo0yqouOWmIWlEmcwM3fb1ZVoQh3zzx9cUBp0zx5jMDiHE2omAB5XwdILL10YxTIsyn5MjB9upqSqjqtK34N+OrQ20zzYvGRmb4XrPRIkAduhqiajuHwovWTiXTGaZjiwvX1+SCpZ4G2fbfvcPhrnWPY5hmJzq7CeWyOBy6TxyqH3JtuT1tYGiz3MsnmFwePqO/ekfFGRZKnaENEwL01z63BgaXdvPRNdV2lqqihH+rt7JkvQOm7XDFtFrwGK5q+t5+tnm3uNRfQT0qqKImslPlRScQaG73tScPGK/VoV3hbn0aTPJWKa/ZJlPLaf6Nk1JFsOt+Kh1Npcsi+XDc5rBLIxH9bPRt7fEKm06O85wumtZ+02ZcfoSl0qK4vxaJe2+XXfsN70WCCGI5aeZypV+PrXO1jvq+OdQ3PO6aRoiz3RufJFXFLgx+1Hvai1Z3pe4xAsjf8aV2KliQZ/NfArFeFMMjRRSOepr/Gxur1nyNU6Hyv7dhXMlk81z7tJQSaGdoshsaAgWm2pc6x4vthGfv/9Ci+6h0ciCzy+Erqs8ergDKDTnuHB1lMmpOFe6xjFNi7oaP3t2NC25DbdLZ/uWegCi0RSnzw0s2exlPSDLcjEqm8+bKxa4sizhmS14TKayxJOZRde1LMH5S8OIZcwOrBayLNHWXEVlRWFG4NzlYcYnY7d5lc29YP3+8nyAUFDnRZvjL/64AAAgAElEQVSEEFgr8He1+eAhSwq1zuaiN3E0P0XcmCm54CfNGOFswU1DRqbe1briafe0kSAyJ5UDKNiYyfNbLC8HCYlaV6ljQsZKM52bWPKYVmWNDu+uEl9hC5PL0fcxlvDIhsL5MpzqYvIWq8h2785leUPfTwSCcG68mMYyl4nMULHl+nL/QplhjFsKlU1hlDjMLIZXDbC3/Encc3y7LUz6k5d4fviP+NbA73I28gbh7BiGlfvARxxXwg1Xjvis3dvBva14lugoBwWRvGNrPYFZW7oz5wdLIsmSJBXSKZoK58TwaISjb1wmlzfmffaZbI7jJ7qYCK1MLO3e3khDXQDLEnReHOLytVF6+0NIEjx8oH3RboZzx/iRx7ZQGfRgWoKfvHaRE6f7lnR3EEKQSGaJJxYXn/cSl0srOqGMTUSLTirLRVEUmhsL30k8kaHz/BDpdG7eeqZp0XlxiDMXBte0hZckSbS3VHFwTwuKIjMyFuHvnn+f8HRi0XNWzBYjRmZSJcWsNneHnU+wBiiyVhA+c45tUxgYIo/GyiNRNh8capzNqLJO3syRszKEs+O0eLYiUSjcCWfHiuJLkmTq5qRDLJeEMTPPHaZMC64oF/dW/Fr1LUsEsXwYQ+TRl7BtrHW2UOtsLnGoGMv0MpkZos7ZsujsTF5k6U1eJD3HKlKVdLaUHVx33exuRQiLmVxo3vK3Qs9zPPT9O9qmdctPthBWSbrOYsiSzA7/w0xmhnk3/FKJ13bKjNGV6KQ3eZFKRz2bfftp9+5ig3sz2mzE/MM8e5ZIZDl1ruDX7nHp7N7euGgx3g0kSaKhrpyO1mpOnRsgFI5z6dooDXWB4mcZLPfw9GNbuN47STqT5zs/OIXLpfGRx7YWRLqA6UiCn75xmedf7FzxuGuqyjiwp5nR8Rmudo3h9ThIZ/KU+93s392MQ7+9DOhoqeJzz+7lr//+BKFwgv/+Z68xPBbh0N4WGuvL0bVCE49YPM3oRJS+wSkuXR1l2+Y6PvuJPSse891SFfRRV+NnajrB2ESU7714hq9+8aGSIlDDtMjljFnLwNJriK4p7N3ZxNE3LmOYFi++coFg0MMzj28tNn5JpXOcONPL3z1/kolQHFmWlpWrvlromsJnP7GH6z0TdPVO8tM3LpPO5vn4U9vZsrG2WDiYyeSZmk4wMDzNte5xpqYT/IuvPmbnta8StoheA1yKZ17uaV5kyZqZ23q72nywqXTU41K8xTzf8Uw/pjCL/uFj6b5iOpBb8a04HxqY51EOhYYtyl14lC/kLJMy4rftnqfKGtv8h+lKdBbTMmL5aXoTF6hxbkBh4THF8zN0x0sFRKO7gxrnwu2M1xMCi6Q5P0osZv9bnX2w7JktXXbyRPVzeDU/p6ZfJTzHMQUKN/iFtt7DnIm8To1zA9vKDtPu20VQq1mRk8cHiWs944zONlhpa6liQ+P87n4L4fe52L6lnnOXh0ln8pzqHODpR7cULckkSeKpRzfT1TvJ0WOXCUeS/I+/eJMfvXyBiqAH07SYDMeZmIxRWeHl4UNtvH78+rJ9fh26ykP72zj29nVmYmneOdkDQHtrFRvbltdy2uHQ+Pyze4nFM/zop+eZCMX4X3/7Nt9/6SxejwNVVTANi1zeIJnOEU9kEJagtnph28t7TbDczeNHNtI3WOjq96OXz9N5YYiaqjIURSadKYxxU1sNX//a4/PamMuyxP7dzRzY08z7ZwsdH//kL9/kxaMXqAx6MS2L6UiSickYmZzBx57cSv9QmGvdE4uMaPWRJImOtmq+/vOP841vHqN3YIo33r7OmfODBPxunA4VBOQNk0w2TzyRJZnK0rqh4rY53jbL58N5NVxj3IpvXlV8oVNanADreyra5t7iVNxUOxqL+aw32n9r6AhhMT4nl7na2XRHtoiFCGWpWFMl/a4iuNoCubx5K7us4rQWzzaCem2xi6cpDK7Hz7A78Bg+rXze+kII+pOXStxFVEljo2/PivPD7wcCFkzluF9IkoRb9fFI5c/Q7t3NqemjXIm9TzwfKRH1AouEMUMiMUNP4jzVjiZ2+I+wu/xxgnotEtK6v4FZLW6kQuTyBi6Xxo6t9VTcJg3iBrIscWBPMy+/fonpSJL+wSnGQ1Ga6m82+6ko9/IvvvIoTofG0WOXSaVzXO+dgN6C3Z0iy2xsq+bnv3SE6kofZ84PEYunF+wCeCuSJLF7eyOtzVVcujqCZVp4PQ6OHGhbkeezz+vkF778CE0N5fzop+fp6Q8xGYqX5OJK0qwFoiLT3lpNR+utM1YFFEVC1xRUVUG5TeMYKHSA1DUVXVPnRY0XQpZlnn1mJ/Fklh+81Ek8maGnP0RPf6hknOV+N+YC0WNJkqiq8PEvvvo4Dl3jvdO9pNJ5rvdMcL1nYnYfEn6fiy9+Zh+f++Re/ua779E3MLWkj7ckSWiagq4paJqyoqLihVAVmUP7Ch7fz7/UyfET3SQSGWLxdEkzW0mSUGQJf5mLvTs33HGTF5v52CJ6DSjTKuYVEKXNBAljBoG46xNprbGzJFcPTXZQ42rmavwUANF8mIQxg1NxkzCiROfYmFU7m3AoK89jXuj7uhdHnFjmRn1aORt9e5jKjhRF20i6h8ns8IIi2hB5uuKdJekKPrWcDu+eB8aWbaE8xUpHw6p5xUvIlOtLF7ndiizJ1Dlb+FjtV9hb/iTnZ47Tk7jAdHaMvJif/zmZHeJYaJyr8VMcqfgUW/2H1r0rymohSfDFz+znE09tR5IL4ms5Yu4GWzfW8bv/5xfJGyaaqlBVMb/dc2WFj3/+lUd59KEO3j/Tx9BIhEy2kHaxY2sDh/e3Ulftx7IE/89/fA7TtAgElnc98Lgd/Lvf/ATJVOEckmVpwTHcDrdL51PP7OTAnhYuXxvjyrVRxidjpNI5VE3B73PR1FBeaPSyoXLRG43PP7uXJx/ZjCRJBAO3P4Z++WuP89UvHkaW5WIx3e3wehx8+blD7NvZxOlzg/QPTZFM5tA0Ba/XQUNtgG1b6+nPTtMdKnUIkpCodnlpb6niX/3yM3ReGuLC5RFGx2fIZPN43A6aGyt46EArG1trcLo0vvaPH+azn9yD06ERXOR7qarw8Vv/6lNEUincun7Hbb9vZXNHLb/+i0/x7DM7uHB5hN6BKaKxFKYl8LgdVFf6aG+tYlNbDXU1/mJKyg1My6IrNoVhmXSUVeJUbZG9XGwRvQb4tHLcqq+k3XLaTBLOjtHm3XVX0+r3A2EXRK4amqRR42hClhQsYZI1U4Qyw1Q66pnKjhY7FaqSRo1jA5q08jzmwmtKFa4h8neVSjC32ckNVElbVmRSl51s8u3lXORNkmYhipU101yJnaTNs6NkG0IIJjNDDKe7S8bb6N647tpBL8WtKRASEs/U/GO2+Q+v2j7uZGZBkiScipsm9yYaXB3M5EP0JM7THe+kL3GZtJko8bg3RZ7RdC8vjP4p45kBnqr5Ik7Z84GPSEuSRE1VGTVVd5aeoOsqzU0Vt13P53VycE8LB/e0LLqOorCsbc1FkiTqavwres1iqKpCQ22AhtoAH31i64pfL0kSFUEvFSvIya2tXvnYJUnC7dLZt6uZfbuaF1wnmkvz5df/iqFEBLd689qqyjJfbN3D/7bjiULO+qNbePrRLUvurzLovW2esaYpBKs9/KTnKg/7WlfUZXApJEnC53Wye3sTu7cv7bayEHnL5D+fO8p0NsUfPPxFmr3zgxk2C2OL6DVAkVRqnM0Mpa7PWSoYSnWxu/zxBy4vOmfNj1LZ3BmSJBPQq/AoZcSNCFkrQyg7whYhmM7d9I12KV4qHfV3JFbc6vxoR9ZM35U7TGaOV/MNXIoHeZGc5ltpcm+m0tFAMlUQ0QKLweQV4sb0PPeO4XRXiZe0jMLWsoMPjM+6hITrlpbkAkHOyiAhr5touizJBPUaAuUfYVvZYUKZYa7ET9IVP8tUdrTEWjBnZTg1fRS/VsGhio/f0c2djc164bnWXXy142BxVliSoEy7N83Qork0Px25xvbylde33Ct0RcWt6mRNA6fyYFxX1wv2p7UGyEg0u7dwavoV5k6uD6SuEsmFcLkeLBGdMmLYSR2rh1+rwqcFiRsRDFHoXJi1UoSyI8Vpdbfqo8rRcEfb92nlqLJOzrrpPxs3IuRFDgd31vo1mgvPW1amBlHl5U0DOhU3W8oOMpC6Ulw2lR1lMHmN7f4jxZuFjJnievxMSTS02tlIo3vjuhGft0OSZPz6/NqHaD6MKQzkdSZAZUnGo5bh8W6j2bOVA+XPcCX2PqemXyGcG+fGuZ+10rwbfpEWzzYa3O33d9A2NndBQHfT6gsueE2xhMW1mRAnQgMMJwuFpc3ecp6o66DRE0CWJLpjU/xo8CKfbNrG2alheuJhdFnhoepmHqpuQZMVxlMx3hzv4WRokK5oiL/sOsnRkasAHKjcwKeatiFJErFchncm+7gcmSCez+DVHByq2sD+yqZitNwSFsPJKG+MdTOSjAKCapePR2pa2eSvZjqb4pvXT3C4uoXHam86OpmWxQ8HLzKVSfJPOvYXtydLEn7NiWFZOD6khcN3yoPxK/TAI1HnaqFMC5YsjecjXIudmtfN8N6M4BafakRJRf5ysYRFNL+8DnM2y8OnBvDPib5GchNEciFCc5qsBLTqeQ02lotT8RC4RcRNL+JbvFzmjg0KhYp+vXLZkWgoeDx71JvTtFkrTV/yUonYj+QmGE33FR/LyLR4thU7PT4IyMgE9dqSJjMAE5lBjAVyj9cTkiRR6ajn4cpP89mGr1M3r8nOND2J8/dpdDY2956Ukee7/Z0cG+8mmkszk0vxd71n+Z3zrxLOFGYKJ9Ix/qb7NL934XXeHO8hkc/SGR7h/+58hXcm+rCEIGsaJPJZbjR1d6saPtWBT3WURH8vRcb5q65T9MSmyJgGFyNj/KezP+XVkZsz2cPJKL999qccHblG3MgQziZ5c7yHU1ODWMJClWWGkjN8u/cMOfNmACKUSfC9/nMMJWfmieXdFQ0cqGzCZedDrwj7lmMNkCSJcr2GVs82zs0c50YkxxA5Lsy8zdayQ/fcqkuXnRRO3cK+LWEU3BRWWNgYNyLE8tP3ZpAfUhRZpca5gevxM5jCIJwbJ5wbK2nj3OBuv+PIq1vx0uBqL9neTC7EdHac4AqL0aAgdkfTvSXLfFr5itNNKhy1tHt3cX7mreKy7sQ5HjKepUpxI4SgO3GetHHTos+tlrGl7MCyI97rgcL5X01ArypxGBlL9xHLT6/7dC5JklAljVbvDp6s+Vl+MPzHRdtEU5iMpLsRQnzg86JtPrgcHbnGUDJS/C10KCpfbt/P9vJaPKrOP9t0GLeqU667sBD8YOAi/+XcKwwmI1Q6C6la8XwWn+bgP+79OH7dxXAiwr987x94fayb/ZVNNPuC/MLmh3hvsp8ToQG+2LqHR2pa541ld0U9v33gWRo9AVRJZiId59++/wI/HbnGpzdsR5IkemJT9MbD/Naej/J4XTsSEpFsCkWWUSQZv+bkYw2b+cMrx7k0M8aeYAMCuBqdZDAR4etbHkG5pTD259r33fPP+YOIHYleIxyyiy1lB+dVs4eyw5yafoW0mVzklau0f8VdIpXzVn5ed7zbIYRgLN1HwphZ/QHeJyTkebm1JitvE3u3zO1cmMjPMJruJZ6PFMdY52y54207ZFehYcactIG8laM70bksS7q5CAqdA2fykyXLK/RaKvSV5fg5ZDcd3t045JspJbH8dLF2IGulGUpeK3GKqHY0Ue968FIHyrQKap2lP5hxI0JXvPOB6QooSzLN7i0lswcgSJvJO5rVsrFZV4hCiElASbaiJElUOb1Esinenezn2FgP4UyStJEnY5Z2Wn2mfjMB3YUEVDm9tHgrCGeS5K3l1584FQ2f5uRiZIw3x3vonB7BEhaxfKbYZKnBE8CvO/mH/vO8NtrFZCZOucNd2LdUsJ48XN2CV3VwfLyXvGViWCZvj/fS7A2yyV911x+XTQE7Er1GSJJEh3cPbd6dXIq+W1xuYXE28joe1cfDlZ9Bl533JKJTrlchSTLMiiaBxUi6h4yZXLDwbCEyVoorsZOkFigqe1BRJAWHUpoXnDRiaz7NXu3cgENxk7XSWJh0Ro4VxaNHLbujJis3kCSZDu8egnotE9lBoFCwdy12hr3lT1HtaFr2MZcxknTOvEnSuOkNq0k6m8sOzPscbz8uiQ7fboJ6DWOzfth5K0tXvJPdgccJZ0cZzwzcXB+Jbf7DOO/A5u9+45TdbCk7QG/yQrFYNGdl6IwcY6Nvz4q+g/vL/DEWGgM9CGO3sVmYjzZs5je3PzZvtk8IwVQmyZ9ee5dLkXH8uhOf5iSRz2AIa94NcK17zm+pBLqskL1FaC+FJQSvj3bxNz2nMYVFpcODrqhMZhLUucu4kQvS5gvyH/Z+jO/0dvLfLh4j6PTwSHULn2/ZTZWz4JZT4XDzVP1GXh6+ymebdwJwIjTI51t2EnQ8eNfQ9YodiV5DXIqbg8GPzmsQkbFSvD31I96Z+hEJI3JP9l2u18ybNu5PXGIiM7is1wsh6E1c4GrsJB+kokJF0vDd8n3E8tNMZUfXdBwuxUtQry0+LuSdFz7nqtmuhndDQK+atVO7KXamsqO8H3652C3xdgghuBY/w5Xo+yV2c1XOJjb59t7RuHxqgDbvzpv7QBDKDDGTm2Q8M1Dik+3XKtng3ryivOv1giRJbPTtoeGWKPp4ZoB3pn5U8j5XghCCvJW7bafIG+vmrMwdWxsKIRhN98wWFheQkPFrlQ/IDYCNzcowheDN8R5eGrrCcy27+E/7n+W39nyUr3QcWLAAT7nLYueZXJo/vfYuuqzwH/d+nP9j38f51zufYlugtmQ9VVbYHWzg3+9+hv9y6DPsLK/je/3n+cuu98lbN2eFHq9tYyaX5tz0KCdDgwgE+yubUB+QouwHAfuTXEMkqVAUdaTiWZy3WF6lzQTHJr/Hd4f+gIsz7xLNh8lbuUWnei1hkTUzxPMRJtKDnJl+jc7IsUX37VUDbHCX+lzGjQhvTH6PyczwonZnQggyZoorsfc5Ov43H6hUDgCH4qLO1VrisWuKPCfCPyGaD6/ZVLtDds4r2rpBjbP5rkW0LMnsLX+SJvcmbghpC5Mzkdd5Y/K7RHNTixa4ClGYsr8QPc6rE39HxrqZeuRUPDxU8UnK9YU7k90OCZktZQdLUjoiuUmGU930JC4U0wQkJJo9W6hyNDywgs2rBnik8jP41JserAKLs5Fj/Gj0zxhMXiVjppY85m6I5kR+hrF0H2+Fvs9Pxv6C2DJEuIXFqxPf5rXx7zCUuk7CiGJYt/cLF0JgWHlG0t28Ffp+SRt5TdZp9Wx/4BpG2dgsB0OYDCUjeDWdI9UtBB1uXKrGtWiI/B1ahOqygiUskkYO65ZzPZxJMp1Nsa+ykTZfBWWak2guU3QFuUHayJM1Dbyagx3ldfzK1kd4tKaNtyf7MGbHJUkSLd4gD1U388LARd6Z7KPVG2Szf3mt3m2Wh53OscZoss6Bio8SM6Y5GT5aYt2VFzl6EucYSXdR42ymxbOdKkcDHrWs2GbZsHJkrBTxfITp3DgTmQGmsqOkzSRbfAfYU/7Egvt1KV62+g/SkzhHdtb9QFCILr8w8ifsLX+KJs9GvGoAVdIwRJ6kEWc6O8a1+GkuRd8jPhslL9MqlvWjvRCWMDFEnryVI2/lMMTsv7PvK5EvvVgYVo6RVDemMNEkHVXWZ//V0GQdVdKX3eRjIWRkmtyb8KkBYsbNgsnexAV+PPpN9pU/Ra2rBafiQUbGnC3IzFkZ0maSnJWhxrlh2Skxi6HJDqqcjUjIJfmlqqRR6Wgo5kvfDeV6DU9Uf54XRv60GPnMWRlOhF9mKjvKzsAjNLja8arl6LIDS5gkzRhT2VGuxE5yKfoOCSNa3J6ExPayw2z3H56d0r8DJKhyFCzrbrg8ZKwUA6krJb7qhfzpPQu2G18JQghMYdw87uYcf3mRYyIzNC+VJ2nG6E1cRJVuHnOaPPdY1JEl+bZCUpIkWr07OFjxMY6HflB0RzFFnquxU4yn+9lUto9m9xYCejUO2YUiq5hWYbxpM0E8P8N0bpzhdDcTmUFSRpwKRy0PVT67nHfPaLqXgeRVTk7/lHpXG43ujdQ6m/FpQXxqAF12ocmF3HlD5EmbCWZyIYZT3ZybOcZEZqhEdNe72mjxrLzhho3Ng4AqKbT4KojlMjw/cIGtgRr649O8Nnb9jqPO1S4flU4v3+8/T9Y00CSZBk+AncE6qlxeKp0ejo/30ugpBwRvT/QRzibxaTevfW+N93AxMkaLrwKPqjOZjnMmPMyO8tqScblVnSfrOvidc68C8GvbHsNh+0CvKvaneR/wKGU8Xf2PkFHonHmT9JzIjpgt1OlPXqY/eRlFUnHIrqKIMoVBTmRLWiDfwGTxO2NZktladojrsbNciL5N0aUDk97kRYbTXfi1SpyKB0VSMYVB1kwTNyKzRY8FF496VzsHKz7GS6P/a0UWaVkzzfvhl7meOItp5TGFMStmjOL/myI/r8AyZcZ5ZeJbaJIDRVJRZLXw75w/l+LhoYpn6fDtXvZ4biBJEo2ujWwq28+Z6deKNzWGyHMh+vb/z957h8mRXve571epc+7JEYNBGOS42JxJLilSjEuKlEXSlPXIkiXLV8GSfC2JurYk0xZl2fS1rimLFiVRIikx5+VyF5sDFsAihwEm59A5d4X7Rw8a05hZYGYwWGCw9fLZB2Chq+rr6uqu33e+c36HvsxJAloEVXIgEJiWiWGV0c0yJavSLOPxtl+jXdm07HPPRxISEa0Jl+wlZ1xeLnfJ3lVzbpGExEbfHh5t+ChPTHypOinSrRLn0oer79Ule5GFgmWZFMw86XJ8Lvp4WTzJQmGL/wAP1n8I53W0fhYIPIqfDb5dDGXPVvPATyZerLkXIo5Gurzbrus6xIuT1fdde+/N3Y+mTtkqVXOWLzGW7+MrQ3+24L6b/1/U0cQ7mz551bxwgUCTHNwVeRdYFi/OfK8a1bcwiZeneGX2hxyOPYVb8aEKrdrJ0rB0SmaBgpGrmXhX9l3OaomFYZVJ63HOpQ9zLn0YTXLhlr24ZA+KpFULbSvnLJLVk2T11ILiwbDWwAP1H1hg3Wnz1qJk6MwUK4V2mqRQ5/TgkJU1Ee2UhKDNE5zLEV44XkWSeKipm5l8hucn+3l1epB2T4if33gn3xo8iXvODs4ta6z3R2sEaqV1uA+PqtXkWje4fPzW9of50sXD/E3vITyKxns7trE93ERQc/Hr2x7iHy4e5ksXXsOnOrivcT1bgo1cTM1Uh1jn9DKZz/Dy1CAWFm5F46Gmbj60bieadDmgIYTgzvpOwg4PBaPMvujyuxnaXB1bRN8EhBB4lACPNHyEiKORF2e+S6w0xWK5xoal1yyfXg9Oyc0D9R8gUa4sl89/KJbM4gLv3ytpcHbwtsaPVbqaqVGmiiNLPrdhGYwXBujLnFjWmC9NKvK8sXuJQ3LR4195+2RFUrkn+m5miqMMZM8w/3PIGkmy+eQb7uuQXEvKR10KQa0OrxK4QkR7VtxkZTEkZLYH70UIiYNTX2Nm3mdetopLygVXhMrO4H081PBhgur1V3lLc4WPr6g/Ij5nAZeddw0ANvh2XeEKsXwKZp6+7MllpyQZln7NfTJ6oqaj39VwyV7uqXsPmuzi5ZkfLHA60a3Sild6VkLJzFMy8yTK00veJ6o182DD43R7d658FcJmzVM2Db43fJq/u/Aaw9kEYYebn+naw0e6dq8Jv2Gv4uCzB96HIklvuI7kV518YuMdfHT9HixAERKqLHOgvgNtLi96e7iZLz/8Cdzy5fesSTK/3HMPFtT4QCtC4q6GTvZEWzEsCwHV4wDsibayNdSIYZmVibdc+X7ppsmlUe6INLM52IBhVfw6JECVZFRJXjh5mUsZuaehi3rX9a2Y2izEFtE3CSEELsXLHZF30O7ezInkC5xNHSJZnl1WhLcS3XLiU0LXtEETQtDgbOeDrb/KczPf5Fzq8KIRpivxyH46vVu4v+79NLvWkzcyRBzNyxLRN57ry12OOlp4X8sv8cz01zifOkLOSC8pwicJGWmVIi4BNYpfDTNVvOznHHE04Vlhk5XFEEKgCo0dwfuoc7Tw0sz36cueJF2OX/M+cEgu6p1t7As/yhb/getOYZlP1NFEp2dLVUTPxyMH6PbuXJWUllsBIQRO2cNdkXfR4d7Mq7En6M+crEbIl4IiNNyylwZXB9sD9+BXItfcRyCxxX+AnJ4mWZ6p5F8v43ujCBWPEmCTbw93RN5BvbPthgjoVKnARD69IEdfFhINLh9+bentmA3LZCqfIVnKL/g3VZJp9QTt5e3rYCgT5/NnX6I3VZmAxYo5vnD+FbaGGtlf136TR3dthBB41Kt3DK38ZlYE6nwudfsDUITAd0WqmRAC5yITCSEEMqJm//lIQiw6AZl/fllIuJRrp5MYpsnT4xfI6SUeau62W3rfAOwrepORhUKzq4tGVwd7Q48wkD3FSP4CM8UxkqUZcka6UmCIiSQUFKHilN14FD8+JUTU0UKDs40Oz2aC6rWLuyQhEXU08+7mn2dH4B7Op48wlu8nXpokb2Qpm6XKl19yE9TqaXR2sMm/ly7vdpySe04AuNkdepCooxmoPFzrHK1XPa8qqWz277shS7+KUGl8g6K8pXL5uvwL+v2nOJ8+wkRhgHhpmoKRRbfKCASq5MCtePEqQUJaPfWONoJXKaqrFMT1cF/d+4CKpV6luG/x97Ev/CjNrq6quOlw99QUPc4n6mjmruhPVSdddY7WJTchkYVMi6ub97b+S4Zz5zmXOsx4vo/Z0gQ5PY1ulZCEjEv24lfDNDg76HBvZqNvDz41tOqFZIpQuSP8dryLRJsDapRGV+d1Lw97FGmbGX8AACAASURBVD93Rt5ZrQlYTbxKsJpLvFQUSaXNvZEmVycThUF6068znu9npjhGRk9U7A4tA1kolftO9uJXIwS1Opqc62hxr6fJ2YkqOZf0eQgEByKP0eO/g6HcOUZyF4iVxknM/c4UjBy6VXH6kObudU1y4lfDhLR6Wlzr6fJup8HZjiK0G7Zc//xkH//h6BMLhK9PdfBvdzzCB9ctPW0rWy7xX44/xQ9Hziz4t1ZPkP95z+N0+9dO98tbjVgxt6DoLVUq0J+OrQkRfbuSKhV4duIik/k03xg4zq5IC7sja7co+1ZGWGvF6f8tgoWFbpbIG1mKRh7dKmFaxlxnQQlJSMhzBU6a5KwWvK3ky3GpyCpvZKpC0bAMBAJZKDhl91xupuMt9eWzLAvdKpHTMxTNHLpVxrRMBJXIsyI0NMmBQ3ajSc4VdxK8ldDNShFZ3shW7zmBhCKpaJITt+y7YR7mNhVMy6Rg5CgYGUpmEcPSsTDnGgLJKJKGQ3LhkFyVHP3r/Cwu1T0UzfycTV65+lsDAlnISEKunFN245Bcb8q9/p2hU3z6yA9IlmpX5GQh+OSGO/jtnY8uefVnIpfiU8/9A+eTC1NVWj1B/vLej7DBbjyxYo7MjPAvnvsyqfLlz8qvOvnDve/kPe1bb+LI3tpM5FJ89sRBJvIptoeb+dj6PbR6gtfe0WbZ2JHoW4xL0U5VcsANXr2+1M7XJ4XwqaFr7/AWobJ85yCgOYBrL5MvFcuymC3keG58gOF0grDTzYMtXTR7/KuWErJSFGnl90HZNHh65CInZi+nYnhVjfes66HZs3qpKLc7kpBwK17cypvTBlwWCm7Fh5u1kSdpWBaDmTiZcnHJKR0juSSxYu4Gj+ytS7PbT0+wnlenhy71AaHLF2F7aOXNoWyunwaXj8/c8R7AboN0o7FFtI3Nm0SqXOSzR5/jewNnyZRLaLLMwdE+/p8Db1vTYlM3TX4yfJGvXDhe3Vbv8rKvvnVNvy+bW4+RbIJ4MbdkEd2bnCavl2/wqN661Lu8/Ob2h/mngWMMpGdp9QT5mfV7abOjnjcVIWzn9jcLW0TbrBoFvcy3+k/Tm1hdZwGnrPBYx0a2RRqv/eJbmKF0gieHL5AqV+wJC4bOockRjk6P2WLTxmYRJAReVSNdLmFhMZxNMFvM0e4NXTOdxbIszienKMy1XZYQCFGJaNusDpKQ2B1tZXf06jUxNja3K7aItlk1iqbBj4Z6eWrk4qoe16862BCMrnkRXdB1MuVaf2/DMkkUV7/QzcbmdkCWJLaHmzk8M0zB0MnqJYYycXZFmq9ZTJkpFxnOJjDmXD6a3H5kITGcjV+nl4+NjY1NhbVfEWVjs0bwqhphp7tmm1NWafFen//xtbAsi97EDF88c5i/On2Iw1NX9wO3sblV0E2D7iuaWJxJTi4pmjxdyDKWvezx3uYNEna4bAFtY2Ozatgi2uaW53Z56LX5gryrczMRpxtZCIIOJz/VuYkdNzjCblgWPx6+wH8++ix/dvR5XpwYvKHns7FZLSwg5HAT0i5PPnuT0xjm1T3NLctippBhIl9pVCUhaHL539Cb18bGxmYl2OkcNjcUTZLZXddM0PHG7ZCvhVtRafKsDQeBq+FVNX51x9080LyO6XyWsNPF7roWfNcw+79ekqUCh6dGyJZLSAjKxup0WLSxebPo9kcZyMQAGM7GiRVzNF+lg6VpWQxm41XrNaei0uWPMp5PveE+awnTsiibBmXTQDdNTCwuudVKQiAJgSLJqEJavIvdbULFptWkNHctDOvydRBCICFQJKnaZbCSF397Xgubm4Mtom1uKH7NwS9vv5Pt1xFtFULgXgMtZJeCX3Nwb3Pnm3rOWCHH6djUtV9oY3OLst4f5cmx8wBkyiX607M0e95YRJdNg9553tAuWaXLF+GZ8QtLOl9WL3E8NkZ2Xg1DxOlha7Cp2oZ5qeT1MidiYzVeykHNxY5wM9oyO8gZpsl4PkVvcpqT8XEGMjFGs0myeomCUUYREi5FI6A5aXEHaPOG2Oivo80TpNkTWFEkXjdNDs8Mky4vrZOuW9HYG227oZ0gLcsiUcpzITXD2cQk51PTDGcSxIo58kYZsHDKKl5Fo8Hlo8kdYGOgch3avSGiTu9NtxW1uT2wRbTNDUUIgU91LMgFtnnzOBOfZjqfvdnDsLFZEYZpst4fwSEpFE2ddLlAb2qauxvWvWFUsWjqnE1c9i2POj20eALo10gDucRUPs0fHvkhF1Iz1W33NXbx2QPvIywv77dsppDlj489ycn4eHXbnkgrf3HP40SWKDRNy2Qil+Z7w6f5/vBp+tKzZPXSkvZ1ygot7gAbA/U82NTNI80bl7UyWDTK/NHrT3B63vW8Gp2+MP/w0Mepk1ff79y0LOLFHD8ePccPR85yJjHB7BJ9wAWV1KD1vgiPtfbwka7di7bltrFZDraItrG5zTk8NWLbetmsWQqGTpMrQNjhZjyfomjoDGRi6JaJKhaPCidLBUZyl4sKu/1RNElBt5Ymom8lTMvidHySPzt5kMMzw0sWz5coGDoX07P0pWOcTkzQE2y4rvS6m4VlWRybHeUL51/hhcm+qlXokven0qY8XS6wN9qGIi1vRcHGZjFsEW1jcxuTLhU5MTsx18rZxmbtUTB0WjwB6lxexvMpLKA/HSNZyhN1Lh7t7E1N19hJbgk1oghRtbtbK1iWRV9qhj8+9mNenR6q+TdFSLgVDaesIEsSAoFpmZRNk6KpU9DLNZMGC4sd4Waa3ctzAxJC0OoJkiwV0C0TwzIxTBPdMtFNk6KhY97g35eSafDcxEX+9PjTXEhNL3o2TZJxyArKXGt6Yy5v/Mrx1Tm9PNS8AUWyfRVsrh9bRNvc1pQMg9lCjolcmngxT14vUzIMhACHrOBVHUScLpo9fgKa87YqOjEti7PxacZz6Zty/iuvpGGaTOYzjGSSxAp5CkYZgcClqJUcTq+fRrfXjhDZ1FA2dUKaiya3nxOxMSxgKBMnWSq8oYi+mJohNxexdUgK630RpDUooouGzlf7X+fo7GVbSgE0uwM81LyBXeEWOn1h/KoTWZIo6CVmizmGswl6k9OcT05zMT3DZD6NR9F4oHH9krs9XsIlq/zRvp8iq5dIlwokywVSpSKpcoGJXIqvDRxjOJtY5Xdey2vTQ4sKaAHUu3xsCzXSE2ygxRMkqDkRCLJ6icl8moFMjIF0jIupGWLFHFtDTWwK1N/Q8dq8dbBFtM1thWlZpEoFBtMJDk2O8MrkEOPZNLOFHJlyiaKhUzYNhBCokoxbUfFrDhpcXrZFGnmsYyNbww24FXVFgrqgl/mTwwfpT8WX9PpGt5ff3fcQoetYXi2bBtlyiWy5RKJUoC8Zoy8V40Jiht7kLFO5y/nQJhbf7D/N6zPjVzli7fh+Z+9DhJ3LG5885xAAkC2XODk7yTf7TnFidoKpfIZUqUjJNBBUJjMeVSPq9LA5VMe7OjZxZ2M7XlW7rSY1NiujbJoIIegJNvDUWC9l02A8l2Iqn6HLF1lwj5RMgwupGYpznQobXD6aPQFMq/L7sFawLIvRXJInR89RNi876mwJNfLbOx5hf1076lUmnOZc8d1INs7RmVGGsnHubli37II6IUTFZtDhBk/tv03nM7w0NXDDRLRlWYxkk3zu1HMLBLRPdfDutq18aN1OuvwRfOrikwPDNImVcgxn4rw+O0ZPsAGXnQtts0rYItrmtsCyLBLFPC9ODPHEcC8vjg9WhJqhL7r0Z1kWRUOnaOjEi3kG0wmOTI/x/cGzfKBrG5/o2UODe/m2erplcWR6jBOzE0t6facvRGnuYb9SzsSm+JtzRzkdm2Qim6Zg6OhmZVl3sTSOoXSCofTSHnqdvhAlc/njU2UZVZZJFPN88ewRvtp7nIlcetHc7JxeJqeXmc5nOZeY5uBoH+/r2sKnevbR5gsu+9w2txeXluI3B+pRJali62aZXEzPcKC+Y8GKR6KYZzSbrN75DW4fjS4f8TXYGXQyn2ZkXsMYWUi8v2PHNQU0VKzuwg43Ic1FT7AR3TRx3kDHjBtByTT4/vBpXo+N1vySBVQnv7TlXj60bicB9eoriLIkUef0EnV42B5uRqJifWdjsxqsrW+Ujc1VOJuY5t+//MSKH5a6ZTKRy/CXp19lNJvi9+94mLDTs6yfWwFvunXSQDrBE0PnSZWWV2hzI9EkmVSxwFd7j/OV3uMUljhRqFTf5/m7c0cZy6b5gzseocntsyPSb2XmJl7rfBECmoucXgbgdPxSrn/tvTFbzDIyFxmVhKDDGyKoudakiE4U8zX5vE5ZodUTvKaAno8QAlXIy9rnVmE4m+Abg8drIvGKkPj4hv387Pq9y4ooX7oONjariS2ibW4bOnwh1vlDxKdrH5ZOWaHNG6DZ4yfsdOGUVXTLJF7IcT4xw3AmWRPlKJsmTwydZ0u4nk/27F2W36kqyby/ays7Io1k5lIsMuUSmXKRdLnIWDZdXWZeLdyKSrPbj09dKKLzepl4Mb9gGdSvOZZ07Aa3F3kFAtYCvnbxFD8YPFcV0LIQtHmDdAcjBDUXiiSRLhfpT8XoTczWPCjLpslTIxfpCdXxi9sO2MuvNvhVJ+t8YcZzlYYpF1IzlE0DWb5cIGZZFtP5DFOFSh2AQ1LYFKhHEmuziOxKH+mSoRMrZjEsE3mNvqfl8NJkP6PzIvEAPcEGPtC5Y81F1W1uT+y70Oa2QAhBg8vLezp7OJ+YwaWobAhEua+5k911zTS6ffg0By5FRRUSJhZ5vcxkLsPB0T7+9txRRjKXf6zzhs4/XTjBo23drA9EljwOTZb5xOY9mJZFyTQoGcbcnzqT+Qz/4dWnODoztqrv/UBDG//vg+9dNN/zubF+/vToc9XonUDw3q4tfGLzniUdW5XkFeVrD6cTjGaSFAwdRUhsCdfz8c172F3XTMTpximrSEJQMnVihTyHp0b5wpnXODk7URX8ZdPg6xdP8XDrenZEm5Y9BpvbC4+qsSnQwIuTA0DFf3k0m2S9P1p9jWGZ9KamKc/5QTtllS3BlTd6utk0uLz4VAfpOaeRsmXyjcETbA010RNcu5ODpVAydF6eGqRglKvbnLLCO9t6aPYE7NUpm1sCW0Tb3DbIksRjHRspGDrbI43sqmuuFAjCoj+4DlkhoDnpDkZo9Pj4w1eeJDZvyXcwneDYzPiyRDRz55KFwCVJNRFUh6zckIiqT3Pge4PIcm9itia9RABhh4sNweiir18tSvOiyg+2dvE7ex6gKxBZ8FlosoxH0Wj1+un0h/jNF77HxWSs+u+TuTRPDl9ge6TRfmi+xXHKKt2+CIqQ0C2TdLlAf3q2RkTrpsm55OXunBGnmzbP2syrF0LQ5PazI9zMC5P91e1HZob5g8M/4FObDnBvYxc+xVF9/e3ERD7NUDZes4oWdri5s77zLRGFt1kb2HeizW1Fo9vHL2zdz73NnXhVDUmIqz5cKoJX4tHWbn563ZYawalbJseW6GJhszhbww38+q776ApE3vCzEEIgCYntkUY+tnEXnnmtiYumwanYZDWSbvPWRRKCdl+4ujKSLhe5mJ7FmrcCUzD1mnbfmwL1eNTlt7q+VQg7PHygcwdhx+UuiYZl8XpslN87/H1++YV/4h/7X6c/HaNglGuuxVpnupBhtlDbabXO6WOdb3lBDRubG4kdiba5sViV/NbryQNWJGnJkQchBMoKikc8qsZDrV18e+AMsUKljaxpWQylE1iWddtFed4MPIrGhzdspydUt6Trp0gSj7Z183fnjtKfutyVbSybZiqfZd0aFkM2q0OHJ0TY4WG6kEW3TPpSs+SNMu65iddINsFM8bLw6gk24JLXbj69JATvaN1MX3qWL5x7hfy81IZkqcDLUwO8Oj1IuyfEfY1d3NvQxb66NryqA4mrBxBuZS65LaXKhZrt7d4g2hoskLS5fbFFtM0NJV7M89sv/gCXsrJbTZFkfnfvg9zd1LHKI1tIlz9MUHNWRTRAVi9hWBbKGn0Y3UxavH4eaO5a1oM87HDT4QvW+Gyny0Wy5eW1Ora5Pal3+Whw+aopG/3pWVKlQlVEX0zNVO8Vp6yyzhdZk64U83FICp/aeICQ5uYrfUfpS8/UWEWalsVAJsbQhTjfGz7NBn+UR5s3cW9jFx3e0ILixLVCVi8tCL5End433f3IxuZqrM1vl82aQbdMBtJLazyyGKokvWnWbSGna0HFt2FaGJaJYmc+LZv99a3UuTzXfuE8ZEmi8Qp/7oKur7qjic3aRJEkNgfreWGyD8OyKiK6XKARP5Zl0TuvU2G900ubJ7hmo7GXEEIQ0Fx8fMN+7m7o5J/6j/Hj0XOM51I1bb1NLGLFHK9MD/HK9BDrLoZ5tGUT7+/cQZcvgnyN1LZbCQurkp5yxfb5qV42NrcCtjKwsZlDk2QkqfYhY839Z7N8NgajaPLyooASLCi+1E0DfV6hos1bm82Bhmp6V7JUqHpCZ/USQ5lYVVjWu7w0uf03bZyrjSQEG/x1/Nq2B/jcXR/kUxsPsDXU+IbpKv2ZGH/d+yq//vI3+NrAMZJXpEbcylhQ4499ibUyCbB562BHom1uOKokI63wt0+V5BX5FM/HsiotGXTTxLBMTMvCwsKyqPmzbBoYpi2ZVwNNkmnx+lFWUEV/5XKtPZGxmc8GfxSPolEqVRqRnElM8nDzRuKlPINzq16VJithgtry7RlXG4vKatZqIITAo2hsCzexJdTIz+ZSvDo9yPOTfbw8NUismLvCb93gbHKK/3j0Cc4mJvnXW+8nqLlueTEqEIvmPhcNu8DY5tbCFtE2NxSPovGB9Vtp8awsIiQJie7g8quxLctCt0ymchkmchnGsilGs0kmcxmSpQLZcomiYVAwdEqGTtEwKBo6w0tsh21zdS7Z+d3qD2ubtUfQ4aLdGyYeGwXgXHIKy7KIF3OM5CrfX02S2RysvyXuP900aoTtaiEJQYsnwE+7t/Fw8wb60zGeGuvl4HgvF1IzNTaTeaPM1weO0+jy8/EN+2/55kUCcMla1c7wEolS/rZyILFZ+9gi2uaG4lZV3t+1lT31LW/K+SzLIlkqcGR6jKdHLnJ8doLhdGJB1z6bG4smr802wza3Pj7VyaZAHcfmRPRAOkaqXGA4kyBZqqQsOGTllmmyUjB0MuUbV9chC4mA5mJXpIWd4WY+uG4HB8cu8A99R+hLzVbTIrJ6ib+7+BoH6jvYFXlzfo9XihACv+bEqzpIlC57949kEqsW1bexWQ1sEW1z26CbJqdik/zN2SMcHO0jWSzURDFs3jxksXRbQhub5eBSVLr8Fd9xc27SPJiJ1zRZiTq8NLsDKz6HmPvffBbrCHotLMsiXS7WCMEbiRCCdk+Ij67fw5ZQI39y7EmOxy53SJ3JZ3hhsu+WF9EAEYeboOaquXbj+RTThSztXrvA0ObWwBbRNrcFhmny5PAFPnPkIAOp2i5XkhD41EpXvxaPnyaPj7DDjU/TcCkaTlnBpShYFnzu+IuMZlM37X3Y2NhcHVlIrPdF8atOEqU8yVKe3uQ0ZxIT1ddsDtbjUxfv4rkUFEnCcYVTT6ZcWnYU1LAsLqZnKbyJ7jJCCDRZYW+0jV/Zch+/c+g7xIoV207dMjkZn1gT3vfN7gDNbj8DmcsdTGcLWQ7NDN0Wris2twe2iLZZ81iWxen4FP/19edq/IUBGlxe7m7q4OHW9WwJ1xNyuFAkCUVISEKa66IHEoKsXuKLZ4/YItrG5hbnUtFgopQnq5c4HhurEVsbAnW4ryPvV5XkBa4Xs8Vs1T5vqZRNg9emh1Y8jutBEoJdkRYiDndVRFtAqlRYE973PtXB1lATh2aGqznl6XKRg2MXeLR5I4FboGjUxsYW0TZrnmSpwBdOv0ZvYra6TQA94Xp+c/f93NnYvowHqp05bWNzq9PqCVDv8jKQiWEBPxo9S3rOT96taHT7o9eVk+9VNKLOWo/zVKnAidg47Z7QkqKglmVxKj7B4ZnhFY/jernkTDQfRZLWRMMSIQQPN2/gW4MnmCpkgMqv87MTF3l67ALvad+KLNkpYzY3F/sOtFnzDGeSPDvaX+MrGnK4+JXtd/FA87olC+iiodd0ArOxsbk1USWZbn+0mrU8U8hSNCspExGHm9brXO53KxqdvjDqvLz+jF7kx6PnyOjXLhK0LIt4Kc+XLh5mIp9e0RgsyyJbLq14Wm9ZFidi49UoNFRW3FrcAW59CV1hY6COexu7arZl9RKfP/cih2eGMUy75sXm5mKLaJs1z5nYFPErCnfubGznzsb2ZUUqEsXCm5q7aGNjszKEEGwLNS0o/oPLnQqv9/h31LUTcrir20zL4uD4Bb5y8SjxYm5RqzXLstBNk+Fsgj8/+QxPjJxdsZuEicWfn3qG/3L8KQ5NDzGVz1S6+F1jom9ZFiVD5/XZUf7XuReJzxPRDlnhQH3nmskn9qlOfqZrD53ecM323uQ0v/vad/mHviNM5tNXtRC0rEoPgFgxx4XUNN8cPHHTUmxsbj/sdA6bNc9YNrUgC2NzqB6ftrzCooF0nFRx7XT1WgqSYIHQsGPtNrcD3f46NFmumfhKCNq9Ifyq87qPvyPczPZwEz8Z661uy+ol/uLsCwxk4jzWupkuf6Ta0CVdLjKRS3EiPs63B09yMj5OyTTwKBqapBAv5d7oVItjwbnEJK9OD/GP/a+zJdjAjnAzmwP1NLr9NLh8eBQNp6wiRGUlLVHKM5xJcCw2xneGTtKXnq35vm8LNbE/2rb0IViVRjEFQ6dglCkYOnm9XP37ZD69wHkkr5d5eWqQBpcXh6TiUhQcsopTVnDO/alJ8pKEvCQEO8LNfGz9Xj53+lnSc1aBFjCYifNfjj/Fj0bOck/DOjYG6ok6PbgVFcuqWAumywWmCxlGs0lOJSY4E58go5f41S33s6+ufcnXwcbmjbBFtM2aZ7EUDI+qLatbXq5c4qXxIZKlG+fnejNwyArKvGi8RWWJ2MZmrVPn9NDmCdGbmq5uUySJraGmVYm0+lQHH9+wn9OJScZzl4uNk6UCX+k7wo9HzxFxuqsFiEVDJ1UuMFPIVhudeBSNT2y4g6lCmq/3H1+0lfW10C2TeDHHC5P9vDDZj1tR8atOfKqz4scuZBAVi8+8XiZRyhEv5RdY8nV4Q/xSzz00uHxLOm/B0PlPx57kTGKCsmlSNo25xjGVv5dNg5JpLPDAns5n+MMjP0STZBRJRpUkFDH359z/dysav7/7Haz3R685DkWSeHzdTkqmzl+de7lm1TGrl3hpaoBXpgfxqQ48igNNkrGorAgUDZ2MXqyZaLlldUWfg43NYtgi2mbN41MdlUrCeb+LyVKesmmiyUsrLjoVm+KHQ+dZWIaztvGoWk37XAsYTFcaFtg+zjZrGZ/mZL0/UiOiVUmmJ9iwKscXCPbXdfALm+7if55+nplitvpvFhW3jtl5267EKSt8aN1OPrlxP98aPIlTUcjp19+2OqeXyenlZeVar/NF+LWt93NP47olf+8Ny+RkbIzX5/lMLwUT65q+2IqQqlHlpeBVHXxiwx14VQd/de5lhrO1nWUv+YVfarZjY/NmYYtomzVPhz9YbbxwicNTo8wUsjRfo924YZn0JWP8+bHnGb8Nre1aPH4CDieT+Ux127nENCdmJtgRbVoTVfo2NovhVRx0++sQnKtOfhtdfprcV//OLxUhBJqQeXzdLhpdPv7y3Ev0JqfJXMPmTpNkOrwhHu/azYc6d+JTHaz3RXHJ2rJEtBCCx1p7SJYLjGaTpEqFZUVQHZJC1OnhoeYNfHT9Htb7IsueON8qIQUhBC5F5SNdu9kVaeHLF4/ywmQfU/lMtaD0WkhC4FeddPujdPnC197BxmYJ2CLaZs3THYjQ5PYxnElWt702NcrXL57k57fsxykrIC5nBl8qzCmaBs+PDfD/nXyZI1Nj1/3AWLTQaN7fTctaJNJtYVrWgqXXK6XtSpenGz0+1vnDnE/MVLeNZpL8jxMv8Tt7H6TLH160Un/+aMR1nN/GZrlsCtTxi5vvpji3BL852FCzmnIJWQgebd6IQ5bR51wa2rwhIg7PgtcChBxufq57X9Wtwq85iTjdi752Pk5Z4W0tm9gdaeW5yT5emRqkNzXNRD5NtlykbBo4ZIU6p5d1vjD7ou082rKRdm+oKlq3hBr5pZ67q9HXJrcf1zVcgwTwM+v38PbWTbw+O8qJ+DgD6Rij2SSxYo5UuUDBKKObJpIQuGQVt6rR5PLT7g2xLdTEgfoOuv1RFCEt+zusSTIf6drNg03dy9pvKUhConGJaSXzUSWZrcFG/mDPO+hLz/LS5AAn4mMMpGNM5tOky0VKpo5EpVmOV9Woc3ppcvvZGKhnS7CRvdHWah67jc31YotomzVPk8fPY+0b+cKZw9VK+KKh8/mTr9KXjPG29g10+IKokoxhmeTKZc4mpnl+bIBXJ0eYLVSWZDcEIjS4fTw/PrDsMZiWycVkjFgxT7ZcIlsukSkXyVT/XmK2kONCcrZmv5lCjj85fJCo04NHVfGqDjyKhkfT8CgaXlXDrahsCEbxqMtvdSsLiXd3bua5sf5qFMwCDo70MZZJ8UhbNz2hegIOB5YFOb1EqlRktpBjJp8j4HDy81v2XfOBb2OzWmwM1LMxUH/N1wkh2BZuYlu4aUnHDTvc/Gz3vmWP55L4rHN5eX/Hdt7esolUuUBeL1M2DUzLQhYSTkXBpzoJqM4FrkBRp4dPbjxwzXONJlMIoMnvQ8xN/KNOL4+2bOLBpg1k9RI5vUTRKFMyDYy5CbiAahMpl6JVf0eWstJU1HUGYgnypTIORWZDXQRFllElmQ937V729VoJhmkykkjhdWiE3a6rCn4hBKqQ2RSoZ4O/jqxeJF0u1nweApAkCVXIOBUFt6LhVRzIQtgBAZtVxRbRNmset6LysU27Hmh0ywAAIABJREFUeG16lKPTl/P3UuUiX+87xTf6TuHXnLgUlZJhkC0XKV5hibQhEOH39j9CwSjz4sTggsjwtSgYOv/upR9xaGpkWftlyiW+3X/mqq9RhMRX3/kx9tS1LOvYl7ivuZN3dmziW32n0ecmGbplcjo+xen41FX3vaOhlU9s3rOi89rYLIeX+4d5ZXCYom4AFpqssKetmfu7O5d8jNFEkvFUhn3tK/uuXAshBF7VgXcFLcXThSInxibZ1dqIW1t8Qvzlw8fRZJl/ee8dqFfUcyiSREBzEtCu33lkPrlSmYPn+3hlcITJVJq/+fjjRDyVCP1sNsffv3aMjfVR3r65GyEEx0cnONjbz4Mb1rGjpXFVxlDUdT7/wiH2tbfw09s3Iy9R6EpC4JsrsnwjTMvi6Mg4hwZH+Mie7YTcdhTaZvWwK4tsbgs6fSF+a/f9bAs3LMj7s6hU1E/k0sSKuRoBrUoSu+ua+f07HuHupnbW+cM0ur3LPr9lLe4SshqY11nuGNCc/Osdd/NIW/eiy+I2NrcCfpeDiMfN4aFRXuofIuJxE3QtXTBalsVL/cM8e6H/Bo5yZViWxXA8yTePnyZXeuO86J/bv5uP7t1R46hzowm4nHz8wG5+Zu92nGptXC2RL/C110/xjWOnMcxK1Pv5iwN89egJeqdn3uCIy8epqPzKA3fy8MauG1KnMTAb5xvHTlE23thP2sZmJdiRaJtVQ8Cc/dLlKI1PdbwprVmFENzV2M5/u/89fLn3GD8YOMdMIVdd3rskQiUEsiRQJZkmt4/3rOvhfV1b6fBVOpxFnR721LWQKVUexB5VXVJ3LyEEHrX2va8WkhBLjswshhCCDn+IP7rz7Xzt4km+O3CGC8kYumlUHozzJLokBJIQKEJCkSTqXd5rPtQElYdg7eeurVAICJyyUnsszbEsu0KbtcmWxnq2NNbTNxMjVyrxc3fsqv7bdDrLE2d72dHSyGtDoyRyBTbUR3hoQxceh8ZwPMkzF/r5zomzFA2dslFZcfmpbZvY2lhJDYnnCzzT20f/bAKvQ+Oude1saaxDkiRyxRLfPnGG3W3NjMSTnJqYwqkqvHvrZup9Hp4634dLVciWypybnMbrcPDwxi46IyEkIUjmC7zQN8jFmRhlw6AzEuKhDV2E3C5ShSJPn+/juYsDHB4a5X88+zIuVWVLYx3v3rYZIQSnJ6b40ZlecqUSe9taeHvPhpoajnguz8HefgZiCXxOjbvXdbC5IYosSbw+Mk7/bIwGv4+jw5WVuL3tLexta0aVZYq6zmtDo5wanyJVKBL1uHh443paQ4Hq992lqrhUlYXVGFDv8xDP55nN5fBoGoPxBC2By8Wb+XKZ1wZHOTIyhph3boeicGRkjDMT0zy+exsOpSI3JlJpvnrkBI/v3k6Dz8vh4VGe7u2jpBs8tmUje9qaa957bO69D8bi+JwO7u7qYHN9FEmSsCyLgdk4z/cNMpPJ4lJVtjc3sr+jpXo+SQi8Do2Q24Wm2JLHZnWx7yibVcOjavzf+x7i3+y6t7pNEdKKIrsrQQhBlz/Mv9l5L+/v2sbJ2QlOxSaZKeTIlUtIQhDQnDR6fGwJ17Ml1ECTx4dTVqp5cgGHg9/b/zDpXZUKfKesoC4heuuUFf7krsduSMdDQcVl43qJON18smcv7+zYxKnYJGdiU4xkkmTKJUqmgSrJBDQHUZeHdl+Qdf4wnb7QNfOhNVnhX22/k5/bfDl/cqWfuybL/POefbx//bbqNlkIGt3LL0KyuX1IFgp87dgpnrnQz6aGSpOVLx16nUyxxOO7tyFLgojHjUtT0UyZ7roIAD6HY27/Iv/7xUNMpbNsrI8wkU7zp089x288fC/bmxoo6DpP9fZxYmwSj0Oj3uchmS9U/YaPDI/x6uAIWxrraQ8FODE2wcnxCX7vsYeJeNyMJFIcHh4j4nEjhOBrr59iOp3lF++9A0lAwOUg5HahKjKdkRA+h4MG/+V7Oupxs6O5gS++ehQQvG1zN8z9JmVLJT7/wiEG4wm2NjUwlkzz3w6+wK/cfxfbmhvon43x+Rdfo6ehjg11EabSGT77k+f4/Xc+wrametKFIs9fHESVZQJOB0dGxjk9Mc3vvP0BwktIbfA7HRimRf9snPZQgEJZr+6nGybfOn6GH53pZXtzIwL4wkuHmUilee+OLZimxQ9Pn2d/ewubGuoAODQ4yquDIzy+eztCQKPfx6b6KH/9ylHW10XY09pc1fKJfIHPv3CIeC5Pd12EsWSa//zks/zbR+5jS2M905ksf/qT54l43KyLhohlc/ROz7CrtQnHPHXT6Pdyd1cHmmxPxm1WF1tE26waspBoWgWxdz1UIsJaRSSHr12cdCWSkGhw+1iu06wkBK3ewLLP92YihMAhK7T7grT7gryzY9OqHFcSgnq3l3quf7IkCUHU5SHqWtxhweati2VZ7G5t5hfu3o8yJ4ZeGRjmXVs20hzw0+j38drQCIZp8cFdW2v2fX1knOOjE/zGI/fSHgqSKhT40588z4/PXmDLXKTasqCg6/z7xx7CranV9ZlCuZJ+4dZUfvm+A7QE/Zwan+SPfnSQ/tk4EY+bTfVRfv2he9BNE900EcDh4VEsy8LrcPBA9zoM0+Tk+CQ/tXUTdd7a+7ve5+WRTd08c2GAKxd+jgyPcWxsgj9458Nsqo+SK5f57wdf4hvHTrE+WrFqM0yTj+zZzv6OVmLZHP/uO09wfHScrU31hD1ufvWBu9BNE8M02dgQ5T//+FlS+cKSRDRAayjAxelZvJqGpshV//3xVJrvnjrL+3Zs4QM7K9f8G8dO8+0TZzjQ2cbWpnqCbhfP9w2yoT5aaZ3e28c9XR1EvZUJR1soQMjt4odnehec9+jIGKfGJ/mtR++jNRggmS/wmSef5cdnL9LTWE+2WGI4keQDO7dwd1cHTkXBwlqwerazpYmdLUsrQLWxWQ62iLaxsbGxueVxaxo9jXVVAV3v83BirNJN71r0Ts0wmkzxP555GUWWsCxI5POsi4Srfo6SgG1N9bi1ysrLlYkNG+uj1Rxtv9OJQ1FIF4pYlsV4Ks23TpxhPJnGwqJvJoYqy1iLHGe59M3EcCoKXZFQxS9ZVdne3MDfv3aM/JzAb/L7aAn6kYRAUxTCHjepubFliiW+e+oc5yan0U2TeC5PplRaevG0BV2RMAOxBB5No9HnI12oWPXFcjlms3m2NzVWhev25gb+z8uHmcnkaAn42dfWwuHhUZL5ArPZHFOZLP9s/64lpXudn5plNJnivx98ae5zs4jnChU7UQsa/F7etWUjf3fodV7sH+L+7nXsbWvG61i+k5GNzUqwRbSNjY2NzS2PLIkaVwuBYDEduJg0NC2LjlCQX7n/TnzOefn2DgeydFnmvpFrBoBHU5HmXnsp0GlhkS6W+MsXD5Eplvjnd+4h6vHw7RNneHlg+IojrExOX34/l/cXVzSXcihKNTosmLs2c3t+/9Q5vnHsFL983wE21kfpn43zRz86uKwxdIaDHB+d4NjYBDtbGjk1VnH1sazKAOcHfi+lxlmWhRCCu7va+c7Js/TNxjg1PkXI5WRLU/2SrOZMy6IzHOJXHrgL3zxh7HM4EAI8msbP37WPe9d38PzFQf73S69xZLiJX7h7f83nbGNzo7AThGxsbGxs1jwVr2SZkq4vaHzUXRchVy6jyjLro2G66yKsi4SIeq/dbOVa5Mtl+mfjc+kLDYTcTibTGUpXOEEosoRumBjm8rx21kcjFHWDgVgcy7IolHVOjU/SXRdZ4KaxGH2zcbrrIuzvaKXZ7yddKJIpXr3r4pUEXE7A4sL0LJ3hUHV7xOMm6nVzanyyUsBtWZwanyToclZt8pr8PjY3RHn6fD+HBke5q6ujKvivRXddhGyphEO5/Ll1zvvcDNNCCNjW1MCn7trLJ+7YzcHefpIFu/23zZuDHYm2sbGxsbnpXJie5dT4FOenZigZBt88fpqehrpqQdq1EELQ01jPV48c53+/dBiPpnJnZxtd0TB725vZNdDEXzz/CnvbW5AQjCVT/PT2HrY2Lb92Yj5eTWN7cwNPn+9DEjCWTHN+eqZGKAohaPT7UGWJv37lCB3hIG3BAPeu78C0LE5PTDGVzjAcT6LKMk/39tHk97GhPsqetiZ2tDTyuWdeYmdLEzPZLOcmZ/hX99951cj5JXY0N/LXrxzmH4+cRAh4bWi0GtW1LIupdJazU9O8PjJOslDg2Qv9NAf8Ndfd76wURo4mUnRGLovoJr+Pd2/bzHdPnmM8lQHgtaERHpvLUwfwOjTuXd/J/3r+VTRFZv88D++yYXBibJLxVJqpdJbTE1McvNBHRzhIZzjE/vYWXukf4i+ee6Xq2jGaTPP+nVvoaahjOJ7gCy8fpj0UxKkqnBybZGN9FLdqN4eyeXOQP/3pT3/6Zg/CxsbGxuatzamJKV4bGsWtqYQ9bhL5An6nk65omLJhki+X2dbUUG2WUYlQKuxsaaxal7UE/LhUhaF4knypzKaGKGGPG4eisK2pASEEI/EkuXKJ5qCfnS2NeDQN07JIFopsrI/SGqwtELYsyBSLNPh9rI9GkKVKRDlTKrGlsZ7mgI+uaJhMscRoIkVzwM+7tmzC73Kyo7nxsvOP00Gj38tEKkM8l6fB56UrGsYwLZ48d5GT41O4NBWPQ2MinaGoG2yoC+PRNHoa6tBNk9FkEo/DwYd2bWVXSxOyJJErldEUmR0tjTgUBdOySBeLtAWDrIuGaQ74cakqI4mKQH+sZwP1Pi/bmhpwqxoXpmf5yfk+sqUSDT4f8XyB6UyW9lAAn0MjVy6zp7ViWdcU8LG3vYVUoUBrMEBbKEBXJETY42YgFqdkGLxt8wbetrm7GiUXQuB3OEjk8+xqbeJAZ1v18yqUdX54+jwXZ2IEXE5kIRhPZVDkiouJR9PY1tyIZcFIIkWuXKY1GGBnSyNuTcW0LCaSaabSGdKFIuuiIT66dyf1Pq/dmdDmTUFYV6572djY2NjY2NjY2NhcFTsn2sbGxsbGxsbGxmaZ2CLaxsbGxsbGxsbGZpnYhYU2NjY2NjY3gcH+ac6cGmXd+no2bGpEWoJ3so2Nza2DLaJtbGxsbhCmaTI1mSKbKeByO6hv8KMoS7P3WgzLsshli6SSeYolHdMwkRUZt1vD53fhcCg1BVWZdIHJiSQL3ZMFkiRQFAmnS8Prc+J0qguKsVLJPNNTqUX2vzr1jQG8XueC45mmSSZdIJ0qUCrpCAEOp0og4Mbl1hYtBpudSZNM5LAsC4dDpaEpiKrWXkPLskjEc8Rm0wAoqkxzS3jB624lSiWdv//i8zz39Fl6trXwB3/yOH7/0joI3ioU8iXGxxKYZuU+bGm9ta+5jc1qY4toG5srGBmNc+zEEPv2rKOh/ua2MV8OZ86OMTg0y113dhNYYw/jlZLPl3j51Yu0tYbpXr/cZu03nkKhzP/5Xwd59ukz7L1jHb/xu+8hFF5ZS/NiocyhVy7y8gu9nDs9RjyWpVgs43JpNLeE2NTTzD0Pbmbr9lbkua5+rx8Z4DN/+C10o7arnwBUTcbtcdDQGKB7YyP3PriZrdvbakTQyy/08rnP/gBdv3ZXwPn89u+/lwce7qnZls+XeOGZc7z43Dkunp8kkcghy4JI1MfW7a08+s4dbN7SvGCS8d1vHOZrX3mVctmgc10d//4/foCW1nDNawzD4lv/dIivfOklAJqag/zxn32Uxqbgssb9ZmLoJvFYlnLZIBHPoZeNa+90izE0OMunf/cficeyNDYF+Mx/+2fUN6yd30wbm+vFFtE2a45Cocz3fnCMF17qpVTS0Q0TTVPweZ08/sH97NrRfl3HHxqe5evfPExLU2hNiegTp0Z46ukz9GxuviEiejaW4cLFKfbvXVft3AZQLOn87Zde5MSpEX72Z+7kjn1dAExMJvnzzz2Bokj8X//6HUTC3lUfUyKR40tffpn77914w0V0qaTzl194hqmZNL/48w/SvESBZhgGetnA0E2WG9GFSpR1ZjrN33/xeZ75yWnS6QJOh4rH60BzuCgWypw5NcrpkyOYlsWmzU1VEW2ZFuWygWVZhMJenK7L/rmmaVEslDl3eozTJ0Z46flePvDhO3jPB/aiaZVHg9OpEo36akS0aZkk4zmKRX0uiuxakIbgcNQ+WqanUvzD37zAU0+cJJsp4pqLfpuWxfhonMH+GQ6/2s+Hf/Yu3vHundXzV66fhV420HWD0ZEY8ViW5pZQTdTaNE0unJ+oClFdN1Zyqd9UHE6Vt71zB7Iscdd9G/GtwYmvqsooioxeNnA6VWTZtpWzeWthi2ibNYeiyOzc0UYg4OaVQxc5fHSQ9793D53tUVqbQ9c+gM2ysSyLk6dGefKpU+zb08n8FsSWaTExmaSvb4rTZ8bYv3cdQgj6B6a50DeFx+24YVG2YNDNxz5yJx3tkRty/PnIisTMbIbxscQNP9clLMsimcjxV//zKZ556jSWBTt3d/Dw27fR1hFB0xTisSynTwxz7OgQ+w50oWoLf9Y9Hgef/IUH2Lm3Y+7AUC4bxGIZjh8d5InvH2dyPMnXvvwyW3e0sqmnGSEEu/d30t75oZr22tlsgb/+/DMcOzLIlm0t/Nyn7sfrc9acr25eNFLXDb75j4f4wbePYpoWW7a38ti7d7Guqw7dMOnrneQH33mdC+cn+NsvPEtDU4B9B7oWCPNQyEMykWNsJMaWbS01IjqVzDM2GicQdJPLFlfhyt94JEnw6GPbefSx7Td7KCtG0xRccxMzr89p53TbvOWwRbTNmkNRJLrXN9C9voFcvsS53gnuv2cjHe3R6mtKJZ2R0RjRqI9SUWdmNoMFhEMeohHv5UidZZHLl5iYSFIs6QQDLsxF2vLqusH0TJpkMg8CQsHLx7Esi+mZNKWSTjjkZWIySaFQxu930tgQqFmetiyLZDLP1EwKvWzi9Tqor/fjdFQeRNlckfHxBE2NQVKpPIlkDkkSRCM+wmFPVThcOs70TArDsAiHPSzm+F4q60xOpkhnCiiyRDTqIxhwI0kC07QYG4+jKDIet4Op6RTFko7HrdHYEETTZCwLkqkc09NpDh8ZYGo6zanTo0iSQAhB17q66pgiES/jEwlM00KWBQMDM/h9Tlwureb9J5I5ZmYylHUDr8dBQ32gGrmcnEqSyRRpaw3XRCOLRZ2BwWmiUR/hkIdS2WBwcIZSSae+zofft3gUT9cNpqfTJFOVzy0c9BCZ9/lfes3MTIZkKo9hmjgdKuGwB7/PVRNxl4SEx+PA5dYWRFpvFJYFzzx1hmcPngHgkce28bGP30tTS6hmbHv2r+M9iRw+f+2YLyEkQSjsoemKSWZ7Z5SerS1Eon7+4s9/xMx0mvNnxune2IiiyPh8LnxXXNtUKo/b4wDA7XHQ3hklEFy8fbZlWfSeHeeZp06j6ybbdrbxa7/1Lto7I1XB1bO1ha7uBv7rf/ouQ4OzfPvrh+ne2Eg4Urty0dYeIZMu0HdhCsOwmK/XhgdnyGaKtHVEGOqfWeLVvfms9YYgmkOpfr89XmfN98rG5q2ALaJtbkvi8Syf+ez32bm9nbHxOKNjCXL5Eo0NAT724QPcsb8LIQSzsSx//+WXePW1PhRFJhTy0NocqhHSpZLOU8+c4bvff51kMo9lQTjs4fEP7OfOO9aDgCeePMmhwwP0bG7iyNFBstkibrfG+396L488tAWHQ8GyLE6dHuWfvvEaff1TmBY4HSr33LWBD75/Lz6vk77+aT7zp9/jwfs3c+r0GPFEllyuxPquen7hU/ezrrPSind4JMYXvvgc53sncDpV6ur8eD2OmhXsdKbAd79/jIPPniGXK2EBrc0hPvrhA+zY3kZZN/jbL71IOlukLuLlzNkxMtkiiiLz7nft4qd/ahdCCF491MfTz5zlwsUp8oUSf/H/s/feYXJc1532eyt0dZ7QPTkPBjkNMkCABKOYSYmkSAVSkiXZsuQoW9617F2v91vb60+25c/hs6xVpBIlkaKYRFIUmAmAIDKRwwTMYDA5dQ5VdfePbjSmMTMkSICkQr3Po0ec6gq3qqtRvzr3d8752vMIAbqm8qd/fAOVFUGklNTVlRGJJBkfj1NW5qPvzDhVlSVEokkgN+V+9Fg/D/x4B6d6RnP70DUu3ziPOz+wGp/Xxc5d3fz00d386edvYOH8moLIOHykj7//pyf5g89ew2Xr5xLLn1tn9zAdnUPc++ENfPRDG4rugXQ6y7MvHOFnT+0nEkkigVC5P/+9taJpKrZt8/QzB3j6FweJx9OYlo0ALtvQxkfv2UBgSoRViNxLWDyWKrz0vNOMj8V4+vF9ZDMWcxfUcN9vXUF17XQbiculUfE2rUeGobNoSR3hyiB9vWMMDkximfZFJUCeJZu12L2zi6GBSXSXxh13r6WpOYyYIvRVVWHR0jquu3EZ3/vWyxx6vZdjR86wYdO8on1V15Zy8sQgHScGsSy74N2WUnKqa4REPE1dQzlDA5Ozjse2bSITSQ4fPM2prhFisRSGW6exKcTiZQ2Un/eCBbl/S372yB7isTTtq5pYu6FtVvErpWTrS8d4fW8PoZCfm25fUWTT6DgxwIvPHiGVyhZtV1dfzo23tRe9OM6GlJJUKkvnyUGOH+1nbCQGAioqgixYXEdzSwW6S33DMaZTWbo7hzl25AyjozGyGROXS6M8HKChMcScuVX4A28uil0uDXdeRAcCbsfO4fAbhyOiHX5tSSQybH+tg3vuWkv7sgbGxuL859df4Imn9rNoUR1+n8EzWw6yY2cnH/voZSxeVMfAwCT3f38r8fyUsJSSvftP8chje7j6yoWsXd2KaVo8+fTrfO8H26iuKqG5ORcB7+gcYk5LBX/2+RtxuTSeeHIf331gGy3NYRbMr2F4JMp3H9hOadDDX/75bXg9LvbsO8WDP3mNmuoSrr16EQCTk0n27DvFRz+0gabGEL29Y3zla8/zi2cP8/H7NgLwyGN76Dszzu9/9loa68s52TnEt7/7SlGk+oUXj/Ls84f44J1rWbSgllgsxfce2M73HtjOFxtC+HwGlm1z4GAvt97Uzn/9ws0APPHkfp54ch/tyxpom1PFhvVtLFpYxwM/epWe3jH+25/fmot25iPyVj5prbamlI7OIYZHoiiqwmQkSWNjiAMHegEYGo7yzftfxu9388U/u5mA383REwP88MEdBAJubr2pnRXtjTzy+B4OHe5j7pwqdF3FtiWv7eqksiLAnNZKFEVQWurl0791BX1nxvnSl5+a9t1LKdm99xSPPr6X912zmFUrm8maFk88uZ/vPbCN2poSWlsqGR6J8tQzB1g4v4Zbb16BqgqGhqOYpj1jtPkDt60kk7WKouvvJK/v7WHgzDiqqnD5lQuoqi55843eBooiCoJJ1ZSpbp2LIh5Lc/jgaaSExqYQbfOqZ9y3oii0r27hsYd3Mz4WY//uU6zfOLdICHo8Lqqqg4wMRZgYi1Gdj6qbps3p3lGEIqiqLkGZRfhlsyY7X+3ksZ/s4uTxARLxNKZpo6gCr9egoTHEbXetZtPmBUXfvaIIjh7q47XtJ+nvG2dpeyNerzHjMdKpLI88uJP9e06x8Yr53HHP2qLPR4ajbH3pGOOjMTJZi0w6i5TQvrKJ9920DN7ktpJS0ntqlEcf2smrW08QmUySyZhA7mWotMzLldcu4tY7VhOuCEwT0lJK+vsm+PH3t7P7tU4mJuJk0ia2LVFUgcul4fUatMyp5NOfuzr3fb0BORGde6H0+d2zXnsHh19XHBHt8GuLlLB6ZRNXbV6Az2tQX1fOqhVN7NrTzWTeJvHark4WL6xj8+ULcLt1amvK6Ooe5uHH9gCQyVq89MpxPG4XV16xoBCBvGx9Gzt3d7F7b3dBRAf8bm69ub0QLb7lpna27TjJrj3dzJ9Xw7FjA3R0DPLF/3ILNVU5MbRqRRNbt59g26snuXxjLvJm25LNly9g/do5qKpCbU0Zz790lO6eEZLJDMlkll17urnhfUtZs6oFXVepqSll155ujhw9A+QqITz/0hHa5lSxemUzuqZSEvSwcUMb3//hqxw7PsDKFTl/bGVFkFtuai8kym2+fD6793Zzum+MeXOrCQY8uPTctK3uUqmoCBRFqM6KaL/Pjd/vZmBwEkURpNMmTQ0hXs+L6EOH++g+Ncr/+MvbWZCPMtfUlnLy5CBbnjvEpsvmEg75WbmiiVd3dHD15oWEQn5GR2McOnKGxYvqqKzIRVtVRSEY9BBPZGaMlmUyJi+9coyA3+DyTfNx50XRxvVt7NnbzZ59PbS2VKIoCgJBPJFB1xRC4QB1tWWzRvHKyt5eZY23g2lanDjWTzyexh/wsHJNS1EE91Jh25KhwQjjozF0l0rLnEr0SxCFhtx9ePrUKABNLRWUTbEknU9tfRnlYT/DQxF6e3JWHWNKxF/VFJpbK9m7q4tT3SMFER2Lpug9NUpJiYfqmlKkLRHnRUSzWYttLx3nK//yDBPjCRqbQmy+ZhGhsJ94LM2B/T0cP3qG//jnn5OIp3nfTcsKx/b5DDZsmsfOHR0cP9rPqa4RFiyqnVGgHjnUR0/3CJqusnHz/Gn+9IWL6/mTP7+ZWCxFKpnlJz/awZGDfRd0LaWUnO4d49/+6WkO7u8hXBlk8zWLqKkrwzItOk4M8vreUzz4wA6GBiN85g+upbSs+HonExm+840Xee6ZQ5SWedm0eQG19WVomko0kuRU1zBdHcMkE5lZLTpTcRkaZeU+AkHPNJuUg8NvAo6Idvi1pr6uvGjq3et1IaXEsiSRSJJEIkNlZbAQeVIUUeRRTsTTDA5G6Oga4q//5pHCfrJZi1TaJJk8Ny1rGBoV4UDhb5/PoCIcYGBwEtu2OX1mnEg0xVf+z/O4XDmRYtuS8YkEzU3hIgtJU2OoyNvq8xmMj8eRtmR0NIZl2XmarmgbAAAgAElEQVS/dT56qCpUVwU5cWIAgPGJBOPjCXp7x+jpHS3sJ5nMYpp20XRyaYmX8BT/qWFo6LpKNvvWyprpukpjfTm9p8cAgd9n4POdC62d7hujtNRLWZm38GBXhKClOcxTP3+dRCJDRTjA6pXNbN12gq5Tw5SX+zjZMcjkZJK1q1ov+CEdj6cZGorQ0TXMX//NTwvLM5mz31sGyNlybr5xGT97+nX+198/zorlTaxf28r8edVFAu69IJnIMHBmAimhsip4QaLmQpEyZ21IJjOc6hrhiUf2kEhkWLW2hcVLGy6ZWI9GksRiKYQQlIf8GO7Zr6mmKYQrAhwjlygYjaQwKs6t73JpNDWH2f7ycXpPjRZsFbFoijOnxygp9VFZVTJjUY7TPaP86HvbmBhPsGJ1M5/83aupayjDpWuYls3IUIQffX87z/78AD/+3nYam8Msz79kqqrCgkW1VNeU0n9mgiOH+mibVz2tHrJpWuzfc4rJiQR1DeUsWFw3bRzBEg+LlzUU/t760jGOHrowEZ1OZXn84d0c3N9DU0sFv/uH19E2rxrDrSOlJBpJ8sKWw3z3my/x8vNHWLaiiRtuaWeq1u/pHuHA/l5chsaHP76Ja69fUqgPbloWyUSW0ZEoyUTmgkoxKorgvk9ewR33rKOkxOvUiHb4jcMR0Q6/1hgurUiMCiEKpa/OJuKdn4iVi06eW0ciaWut5EMfXFc0FS2EmFYCb+oDXAACgcyLY9u2KS3xctcdqyk/L6Lp97kLWe4wvURYYTzkIlKFczlv3GefmLYtURTBivamgk3k3HqC5ilJmKqqzOh/lW+xRpiuq8xpreT5F4+STGZpbAwVCVEpzw6veNxCCOwp5zSntZLamlK2vdrBwvm17NrTTV1tGW1tlRc8ltz3BnPbqrj7jjXTvrfq/EyAqii877olLF/awN79Pbyy/QRbtx/n+muX8P7bV+F9l2wbM5HNWkQiOT95Wchf5Jc962uNn1eJQlEEPr97mrc2mcjw0A9f5YVnDxeWWVau8UlvzyjZjMkNt7bz/rtWX9I6v4l4GtuSaJqCPzC9+UrR2IUoeNDTaZP0eb5hRRHUN4XQdJWe7hGyGQvdpTIyHGFkOMqS5Y34/Eb+hz2leoyUvLDlEN2dw4QrAtz7ySuYO/+cTUHTVeobQ3zsU1fQ1THE8SP9PP34PhYvrUfTct7ihqYQixbXM3BmgldfOc7V1y2m9Lzf8OhIjJ07OpBSsmb9nLftUZ+NjpODbH3xKC6Xxh33rGX5yqai6xkKB7jx1nZe236SPTu7eO6Zg1x93eKCZxkgGk2RzZioqkJ9Q3nRd6LpKm636y3VMT/7cnR+EqiDw28Kjoh2+I0lkO/SNjISJZu1cLlyyX9jY3HSeZ+h1+siHPIzNBxl0cJa/H73tP1kzVz5tnTaZGQkSiC/TjyRYXQsxvJlDSiKQk11KZZlU1dbxtLF9W973OVlPhRFMDISxbLsfIKcZCQfoYZcdNnvd6OpCsuWNsyYCHf2HC8UIcSMlUumfl5ZEWRkNEo8keaWG5cXifO62jImI0kmJxPU1ZYihEBKSU/vGNWVJbjzUcqyUh+LFtax//UeOjqHOHj4NDfdsOwtCVqv10Wo3M/EZILFi+rw+Wb2sEJOSNfWllFVVcJl69t4+NHdPPazfVy+aT7e85p6vJtYln3O7+rSivymlmXz0vNH+e43XiraJhD08OnPXc3KNS1Fy7NZi327T814nGCJh41XzGfz1QsLFolLRTZjIZEIId48SikEWn4dy7RztZ7Po6a2jJISL2f6xolFU5SFfJzqGkFKmDN35jrh8ViaY0fOkM1azJ1fTVNzeMb1ykN+2lc2c+zwGU4eH2B4KFKoZqK7NFatbWH71uOc6hqh8+TQtGvc3TlMd+cwgaCHFatbLmkFFyklB/f3MjmRIFQRYNHShhlfSDxeF00tYfbt7mZoMMLQUITGpnPnW1VTQiDgZnJyjMd+sguP18Wctko8s3i8HRwc3hhHRDv8ynE2Oz2VzkXiLMtmcjInzrxe44KnFP0+gxXLG3nuxaPs2NnJwgU1DA1FeWXbcbL5usaGkase8c37X+aRx/dy9ZULMFw6yVSGnt5RFi+sK5T7mpxM8PQzB7jtlhXousqW5w6RSmVZ2d6EELBoQQ1NjSEeengnHrdOWakP07To7RujIhSgoeHCah2Hw36WLqnnhZePMnduFfW1ZXSfGuHAwd5z/mS/wRWb5vHIY3t49vnDrF3VglAUotEkg4OTrFzR/JauuaaplJf7GNsZ48jRM9TUlCIllJYUlz8764scHo5SXV1KMnEuUrpkcR11tWU8/uQ+fD4Dv9/gxMkhduzsYPMVCyjL2xUURbBh3Rxe2XacJ3/+OoqisHRxQ5EgT2dMshmTeDyFbefsKZFoElVVcBs6brfO5Rvncf93X+HRJ/Zy5RULMFwayWSGntOjLFlUTzDoYWBgklO9o9TXleE2dLKmhW1LNE2dsVTcu4kQAi0vnC3bPjd1ksc0rUJN5KxpkUxkSCYz0yK4kGvscfmVC2iYUk/btGwmJxKcONrPy88fYe+ubq64eiF3fXg9pVMsNxeDqimAyFuo3tweZFn5GQll5vJvNbWllIf89PWOMTmZoCzk48SxfjRdKYouT2V8LM7ocAyA5jmVuGYRt4oiCkJ8ciLBYP9kQUQLIVi6oom6+nI6Tw6yY9sJlq9sKtiLbNtm64vHyGZM5s6vZunymUXu28U0bU73jJJOm0QjSf7zX5+Z1W7U3TmMlJJM2mRyPAFN5z6rrS3j5vev5Aff3sqObSc5eWKAhYvrWL9xLkuWNxIKB3C9QWUPBweHYhwR7fArRzpj8vMtB3nx5WP0D0wwNhbnX/9jCzXVJXzwzjUsW9Lw5jsh92C8/rolnOmf4Bvffgmv14XX46KluSJXVzi/zqqVzYyNx/nFs4d4ZetxFFXBMi3q6sqY01JZENElpV5i8TRf+vKTJJNZLMvmzg+sZm5bVS5KWxnk3o9cxk8f3c2XvvwUuqbmuy2qfPzeTRcsog1D5/23ruTr33qJf/n3Z/B6DQJ+NwsX1HLi5GBh3NdcuYhYLM3PnnqdJ362D/KR5AXzq2lf3vSWfK+qKlizqoXde7r5h39+mkDAjdfj4vN/8L6iZLvSEm++5B2EQ356p4joyoogH793Iz/88Q7+7ktPoGkKpmmzdEkDN16/tMiCUFdXRlNjmO07Oli/dg5155V127rtBDt2djI+HmdwKMJLrxzjdN84oZCf229pp6E+xJrVLYxPxHn2ucO89PIxFFVgmTb19eXMbcsJrmgsyUM/3cnISAzD0LFtG01VuOsDqwm9x1PUmqYUpuKT8UxR10BFUVixupkv/OWtABw60MsjD+2adV+GobFp83zWbGgrLDubGxCNJHn26QP86PvbefQnOwmWevjAB9deULm1N8Pt1lFEzl6USmanWHqmI21JKu9V13VtxuMbbp26xnKOHDrN6EiM2voyentGCVcECVcEC173qaTSuRduyDcEeQOBGAjmZpEyGXNa05aSUi+r1rZy/Gg/Rw72MTIcLVRLGR6KcvRwH1LCqrWthX8TLhXZrFmw7kQjKXZsPfmm20gpC8GAs6iawg23tOMPeNjy9AGOHDzNKy8cY8/OLqprSrni6oVs2DSPpuawU2nDweECcES0w68cmqqydHE9lVOS+CD3gKipzomt0lIvf/JH109rzXz5xnksXFBLRUVu25rqUv7gs9fSdWqEVCpLRThAZWWA7u6Rgqj1uF3cfMNyVrY3MTgUwTRtPG6dqsog4XCg4Of1eVx84r5NDAxMEk+kCZX7aWoKoWsq45MJ4skMlVVB7rlnHb29YySSGQJ+N3OaK6ivK0eIXELhX/3FbbTmK3xATnTcclM7yVRufSEEc9uq+LPP30Bv33ghydDnM+g7M144N1VTSAubtRvmsHBONYJcgmJ1VQlCEXz/kdc4enqEWDzF41te54YrF2O4NOrry/mDz11bdO2EELTNqeQLf3wDfWfGMS07Z5FQBcNjMW69pZ3KcC5B80MfXMfp/nEypklTU5jP/vZVlJZ6UVWF5UsbqKsp4/SZMTIZk5Kgl8bG0DSrhs/r4hP3beS6axZTV1s6LeoWCvvpODNKW3MFf3HrLQUHrO7SCo1XvB4Xt9zYzqoVzQwNT/neqkoKnvTmpjCf+52rGRuLk8maaJpKRThAfV1ZIfJty1zyZ9a0KC/14tLfnX823W6dcP67HB6KFAQm5KKmNbVlhUhp1rQKSaazoWnqjMLU63Vx+12rOXzwNDu2neTZpw9y1bWLqay6+HJ6wRIPhsdFLJZmfCyGaZros1w/y7IZHY4C4PMb+AIzC9F586vZ8tQBOk8OEgr7GR+L0zavGn/APaOIFkwR7m9i85fnJzVMwTA0Vq5p4anH99J5Mlev+qzv+fW9pxjonyBY4mHt+tnrSL9tJIWxN7dWcOsHVuX832+Ay9Bpbq0oWiaEwOszuO7Gpaxe18rhA6d5bftJ9u3uprdnlPu//iLPPXOQD923kSuuXnhJXqQcHH6dcX4hDr9yaJrCnNZK5rTOnmhmGDor25umLa+rLaNuiu9TCEEw6GH50uLo9ZLzPMuqqlBfV0593XSPrJ33btpS4vcZLF1SvG0mY/Lth7bz/LZjaGqx1aR9UT3r184p+CeDAQ/r1s4pWudsZ8Dzl1VUBKmoKE5empqwmExl2Xf4NCuXNrJ6ZfO0snRL59cR8Ll55Jl9dPWOFKbbA3437csap52nEIKamlJq8uI6a1r827deYOuuk/zORy6nfWluG4/PxXcffQ0p4W//y+0sm3Jtc+MOFIT+bCiKQmNDiMZZovPV1SWobpXK6hI2rGub1XqhaQoN9eU0zOJt1nWNluaKQlnCmTCzFl974BW6ekf44uduoPkCZwwuFsOtU9dQjqYpjI3GGOifpP4dam/u9RnUN4bY/VonkckkYyOxSyKiPV4XlZVBRoejDPRPEI2kZk1Ci0wmGR2J5u6RyiA+3/T8A8hZMnRdpatjkOraUhLxNI3N4Vmjv26PC7fbVTjGG/n6I5MJgEK95KkIIWiZU0lzayX7dnezZ2cXq9a0kDUtXt97ilQyy4pVLdTUTW+Gc7HoLq1wfrpLY/2muYUXrNkRs0b9zyYEXnbFPFatbeV07yjbXz7OlqcP0NM9wve/9TLVNaUsWX5hs3oODr+pOCLaweEdRgKJZIbyEh+/9/Eri7p6BfxuvG9Q9utiKCvx8vnfvoYS//RW0KqqsGZ5E4vmVrN9T+fbPkYqnSGVznKsc5D3XbEQIQRdPSNEYinchoZtv7UyeRdKeYmPL/zOdZQEPbMKhUuFpqm5ahgZ810t4SWEYMmyBsrK/YyORNn64lHaVzYVku8uNdmMWbBbXKqpfK/PzfxFtRw51EfHiUH6esdmrBUtpeTA/h4mJhIYbo3FyxpmfTEKVwSorC6hu3OYUDiIbUuaWypmjcSHQn4qq4J0dQzR2TFIOp2d0Rdt25KTx3IlIkvLfFTXTBfDwRIPq9a2cPjgafbv7s51+8ta7N/bg8ejs3bDHPyztKC/GDRNoaEphGFoDA9GGBqMXJKXHEVR8HhdzJ1fQ8ucShYsruNfvvQk/f0T7NzRweJl9Y4/2sHhDXBEtIPDu4TfZ7BiccOMD3spJclUluNdQ/QPTpAxLYJ+D4vmVlMZynUeO3JygExeyPWeGWfpgloURWHf4V4qyv0sXVCPS1dJJDNs291BJJoCYEFbNRVv0d+b20cn9TWlzMs3JTk7zmMdg5wemGBtezO2hIpQgKGRKFnTwqVrdPeNEfC7cU0Re1JKevvHOd45RCKVIVzmZ+mCWvxeAyEERzsG6BuYYF17C/4pEcV4Ms0rr3UwpylMa2OYZDrLtl2dRGO5c1s4t5qK8unnlsmYHOscpOfMeM4mU1fOvJaqIhGczpic7B6i98w4WdMi6HfT0hCmtrq0kNAHOTHr8xp43a5C05Z3i7Z51cxbWMPWFyPs2HaSjZsXsGJ18yVvajE+FqercwjLsvEH3NPKt71dPB6dZe1N/OLJ14lMJnnuF4dom19d1PFRSpgYT/Dic4cLUeVl7dNnQs7i8xk0NYfZu7uLna925KPo5bOKPbdHZ2l7I/t2d3Py2ACdJ4dYvnL6LNXIUIR9e07lZn7mVhGunB7pFUKwam0rjz+8m5GRKIcPnAZgdDhKZXUJK1a3vCMJqUIIlq1ooqzcx8hwjBefPczc+Ze2lrmmqcxpq6KqupShwcg0T7iDg8N0HBHt4HCRqKrCddcsZs2qlrftITRNm+e2HeOJZw+gKgq6rjI2EacyFOAPP3kVjbXlbN/dyWv7u6mpLOFk9xB11aUE/G76BiaIRFN84TPXsXxhHZZtMzaR4FjnIDv2dvH+69uZ31pVFAF/MyzbZuf+bp7bmuKLv38DgfzUeiye5oeP7yKVznLZqlaQkoaaMuKJDEOjUarCQc4MTlJbVcLQSDR/bhbbdnfyw8d3IQC3oRONp6ivKeO3P7yJ6oogI2NxvvXgdnxeg3XtzQVBtP/wab7542388aeuprWpAtuWjE3EOd41xKt7u7jzhnbmt1YXRaNj8TQ/fmI32/d04vW4sG2bRDLLNZsW8P73LcfrcZHNWnzvpzvYvrsz56GWEEukWTCnik/es5HS4LloohDQUFNGJmPicb/9utGWZROPpWf1BCPONro597nL0Hj/B9dw9PAZhocj/Oe/PsMd96xj5ZoWPB4XQuTK142Pxt7QpgC5F4tk4pxnWEqJaVqMjsR48rG9HDvcj6II1m2cS0nJpYmmCiFoX93E8lVNbH/5BM8/cxC/3+C6m5ZRUuJFSsn4WJxHH9rFvl3duAydG29bQXXt7JYIr8+gubWCl188Sjw2RNv8auoaZi9FKITg8isXsvPVDg7u7+W733gJl+sqGprDGIaGadoMDUzyw+9uo7trmIqqIDfcvHzG2umQK7O3fGUTW35+kNf39ZBKZMhmLZavaKSq5p1pyw7QOqeSK69bzEM/2MGWpw9QWurlimsWFfINbDtXkSMaTXLi2ACNzWHmzq8uernYu7ubeDRF69wqfH4Dt1tHVRSsfOOdPbu66O0ZweN10dAUcqLQDg5vgiOiHRwuEkUIqipLqKp84wfo0GiUHz2+qyhStWxhHQvmVKNpCisWN9DWXEFjbTmKIjh47Az/8NVfsHP/KRpry3NdyWIpPv/pa+gbmOAfvvoL7rllFZ+8+zL+9t+e4kTXEEvm1eD3Gtxx4wqGRiKc7h9/W+fk8xhsWNnK13+4lY7uYdoX57yRgyMR9h8+zSfvuawQ1a2uCHKie5iB4Qhul874ZJy25koGhyMA9A9FuP+hV1kyv5b77liH32dwun+cf/jqL/jJk3v51IcuY+n8WoI+N/sO9dK+qB63oWPZNjv2dVMZCtDWXIkiBH6vwZ03rWRwOEJP39i0cUsp2ba7g5deO8Fv3X0Za5Y1Ydk2P3v2II88s495LZWsXtbE8FiUHXu7Wb+yhY/cvhZVVZiIJIgn0vi904XyrdcuxZbyotph93SP8K2vvjBriTXD0LjquiXToqSLltRz7yc28e2vvciprhH+459/Tn1TmOqaElRVITKZpKd7hFQyM+tLXCqZ5ekn9rNnV3dhmW3bxCIpTp4YYGhgEsuSLFpSx/U3LZ91jG8Hv9/NBz+ygcH+STpODPLgD15l+yvHaWgKY5oWpzqHGRqMgICrrlnINe9b8oa2GVVVqG8M4XbrJBMZGhrDRZHtmaiqKeGjn9jEv3zpKQ7s7+Hv/59HWbKsgfJwgEQ8zaHXe+nqGMLnN/jQvZexcMn0boNn8fpcrFrbykvPHeHA3lMkEhlUTWHdxrlvOEMQiSQ5cbSfdCpLKpUlncrS1zuGlDAyHOXnP9tPIOjGMHQMt059YznVNaUFIesyNG77wGrOnB5n28vH+f63X+H5LYdpmVOJ1+sinc4yPhan99QoE+Nx/vi/3kzbvOIXzCMHT/Pj728nFArQ1BqmsqoEw62TSWc50zfOwf29RCaTrFzTwtr1bbOciYODw1kcEe3g8C4xGU2ydVdHUdZ/eamPea1VqEKhprIEf9xgdCJOJmNiuDQ0VWF8MlHoUlgS9NBSH8KybEqDHhbNrSHgM6gIBYjGkli2RNMEmirQ1Ldf71VRBMsW1lFe6uWVnR0snl+LrqnsfL0Hj9vFsoXnkicNQydc5ufMwCQ+j0E6Y1I/xU968PgZIrEU116+gFBZzg/b1lzJ5Wva+NlzB3n/9cuprixh45o5bHnlKLdeu4y66lIGhyMc6xhk9dJGQqU5e0GudrJA05QZzy2VzrJjXzeGSyNc5qM3/xIRKvMhbXj9aB+rlzXh8xqUBNwcPNbP4RP9tDSGCZf7qQwFZ/RYzxaVfCuMjsR46fkjs37u9RnMW1hbJKKFELhcGtfdtIzysJ+Hf/QaPd0j9HQP03liECFyY3N7dKpry5i3oGbGKG4mY/La9ull0RRFYOSrgKxeP4fb7lz9htaIt4MQgoWL6/jTv7iFB3/wKgdf72Wgf5LeU6O5zpJSoqiCm29byUc+vvFNrSRCCBoaQwRLPCQTGeYvrHnT8aqqwrIVTfzJF2/mkQd3cujAaV7Ycphs1kJVc10eFy2p59Y7VrFx8/w3tEkoisKiJfXUNYTo6hgCJPMW1uZrTM8+jq6Tg3zpbx4jmzYx881kzjaUOd07xlf/fQuapqCpCqqmcteH13H3RzcUzk0IQbgyUGj3/fwvDjEyHKWvdxTLshGKwHDp+AM5H3pdfdm0e7muvpya2jKGhyK8tu0k2axV6G5qGDolZV7Wbmjj7o9uoLL6nYuqOzj8uuCIaAeHd4m25kq+/N/vmua3FSJX6WLPwR4e33KAkbEYRj6iODwWQ8pzDbh1TUXXVZR8Iw6PWwcEiiKw3mQ6/61SVuJl1dImXtl5ksHhCOFyPzv2drJyaQNVU8oLaqpCa1OY7tOjeNw6Qb8b35TI4OBwhIDPIOj3FImd+poyBkciJFNZVEWwckkDj/3idQ4d76emsoQTXUNMTCbYsKr1gn2miVSWkbEYnT0j/M//72eF5VLmBOPZ4wf9bu67cz0PP7WX//3/P01TfYgr1s3lqg3zCPrfuD31W0HXVC6/ciENjTN3ySta16XSNm/mhiEul8aGTfNYuryR40f76Tk1SiKWQuTbfFdUBmloLKeqprQoitvYHOajn9g0o9VDiNx+y8N+WtuqaMon573ZuRsujSuvWcSctioam8MYF5AYq6oKbfOq+ZMv3kJXxyCdJ4eYnEgQj6V5fsshhociWKZdqKIxlfZVzbhcGouX1RcivXUN5dz9kQ2Mj8dZve5cNZvykJ8P3L021/48UFzdQ1UVlrY30ja/huNHztDdNUw8lsYwNOobQyxYVEdJqeeCvvuqmlLuuXcDvT2jIGHOvCrKQ/43THINVwa5+faVyAv8nc5fWDttLEIIwhUB7rn3Mq66bjEnjw0w0D9BKplF11VKynw0NodoaqnAO8OMyuVXLWDR0no6TgwyPBghGk1imTa6S6W0zMecudU0tYTRdafhioPDheCIaAeHdwlBrsX0TFO+3b2j/Pu3X2DJ/Do+dsc6ggEPWdPiL7/06PT9TH24vYPPOSEEG1e38vMXD3HoeD8VIT/jkwnuvHEFhkvDzJfEU1WFloYQu14/hZSS5vpQUZtxl55rKnN+pY5M1kTPdwYUQlBfU8a8lkq27+lk/YpmduzrZm5LJQ01F96KWhECXVNZtrCeP/ytq4ovj6Dg7RZCsGR+Lc31Ibp6Rnh550kefmovR07089n7Nhd5oi8G3aWx+ZpFbL7m4vZz9jsPBD2sWtvKqrWtF7RdU0sF931q9vJ9bwfDrXP1+5a85e2EELjdOgsX17MwX0IykzERAh7+0Wu8/MIRWtsquen2FUW+8JVrWqa12PZ4Xdx25+ppxygP+bnrw+vfcAxer4v2Vc20r2p+y+dwFkURb/ka1NWX87FPXfG2j3mWsy/e1TWlM1YQeSMURaGiMliob+3g4HBxOC2JHBx+CTjVN8pkNMl1ly9gbkslVeEAmYxJOm2+p+OqrSplzfJmntt2jNf2ncLnMWhfVNzSWAAV5X4isRSHT/TT3BAqiobOaaogGk/RPziJbUuklNi2zeETAzTVhwrVOAI+N6uXNXG6f5z9R05z+EQ/l62eg8974d3f/D6D+poyItEkbkOjobaMxrpyGmrLqKsqLYhjW+bGEfAZLF9Uz+99bDN33byS57cfZ2QsdmkunsOb4nJp3HT7ShYsqiUaSfGD+1/hhS2HSaWyBQuTg4ODwy8rTiTaweGXgHCZH01V2XfoNH6fQTSeZstLR4jEU295X7F4img8zeBIlHTGZDKapG9gArehURL0Yrg0EskMkViKSDRJKp0lEkvRNzhB0OcmGPDkbSLgceusX9nCv37zec4MTnD1xgUzitqyEi8Bn8GZwUmqK4JkMufaDc9rrWLl4kYeemoPCCgr8XGia5A9B3u47bpllJec88CuWtrI41te5/EtB/C4dRa1VRdF7gvnNhyZcm7jGC6d0qAHXVe5euN8Dh0/w/0Pvsq1ly/A63ERi6fpPj3KFevmUhkKcPrMOLsP9tBQU4bfZ5A1LY6c6KcqHCicu8O7Q3VNKR/5+Cb+7Z+epv/MON/4ynNEI0luv3MNquZYChwcHH55cUS0g8O7gOHScuXRZtEE8+dU8eHb1/D0i4d46bWTBP0GV6ybi2nbhTbTLl0rCDxFEXg9LlRFQYjc/s+u98KrJ3hu61EisRSj4zF27O3iZPcQoVIf935gHQvaqtmxr4ufPXuQSCzF4EiEoZEofQMTlJV4ueOGFaxtbwby9WkX1BEu99PVO8L69uYi36dh6Oi6StDvoaUhjEBQXVFC39DjK/4AACAASURBVMA4HrcLRQhKgx4+/eGN/PiJ3fyf779C1rTw+wxuf99ybrqquBJDRSjAyiWN/PzFw2xeP5e686wcz28/znPbjhGNpRibiLN9TxfHu4YIlfm57451zG+tYvG8Gj73sc389Ol9/PPXn8W2JbqusnR+Hcr6fJKWIth7sJcfPb4LZO7vhpoyfu/jVxb5vR3eeRRFsGJNC7/7R9fxra++wNhIFEURyDfr0e3g4ODwHiOkM2fm4PCOYkvJ2Hgc07KoCgdnTNiRUpLJWoxNxMlmLQyXRmmJl3gijcgL0clIklTGpLoiSDpjMjIWI1Tmw6WrjE4k0FSFkqCHyUiCSDQ1TYKoiiBU7sfrdjEZTTIRSXD+r18RgrJSb8E7DLk6xH/xpUfQVJU//73rKcl3ZJNSMjoeR9dUggE345MJMlmLypA/fy4JKkJ+9HzHv0Qyw2Q0iWnaGIZGWYkXXStOYJJSMhlNMRlJEPC7KS8trtQwNhEnGpv53MLl/kIdZ9vOlQOMxlPYtkTTVAI+A5/XyCVhWjaRaJJ4MoNl2blENK9BSdCDqjgut/cCM2tx5FAfvadGufyqBQQukS/dwcHB4Z3CEdEODg6zIqXk4LEz/ONXf8GdN63k1muXOln7Dg4ODg4OOHYOBweHGchkTDp7RhibTPDU8wcJlfvZsLLFEdAODg4ODg55HBHt4OAwjXgyw4NP7qGje5iayhI+/aGNhMr87/WwHBwcHBwcfmlw7BwODg7TsGybyUiSrGnhdukE/AaK4xV2cHBwcHAo4IhoBwcHBweHi0BKE9MeRRFuFDFz8rCDg8OvH46dw8HBweEiiaW2k7X6AQkIFOFCVcpwac3o6vT2zQ6/XqSyx+gf/ys8RjuVwc+jivfe+pQxz5BI70AINz5jPZp64Z0/HRwcLgxHRDs4ODhcJKOxrxNJPoMifAihAwKBhq7VEvTcSJn3DjStGvFO9mn/DSBj9hFP7yDouQZVKXmvh1PAtAZImydRFD9SpoD3XkSnzeP0jn0eXa2lueJbjoh2cHgHcES0g8OvKVKmILMb1ApQ5zrR0HeBcOAzGPocLDtKOnuMWOoVhiL/QsbspKrki+hq+L0e4q8sUkoSmd2Mxr6Bz1j1SyWi3a5lhAK/jVufh6qUvtfDAUAVQUAghI4ifG+6voODw1vHEdEODu8gUlqQ+CYyvQPh+zjCuDy33BpBRv8eMBGBP0eo1Zf+4PY4Mvav4FqH8P8RoL7pJm8bmUHGv4Y0uxH+30doTe/csX6J8Rsb8BrrEEIgpUkqe5iBib9nIvE4ulpPReAzKIr3vR7mryRSJklm9mHZk/BL1s1QVyuoDP7+ez2MIhThQREGQuioitOF08HhncAR0Q4O7ygSaXZCdhdklkBeRGN2QmYnCA1k8p05tAgiPHeB1sKs/cYvGSrS7AHzEGC+w8f61UAIDbe+lIrgH5Aa+0MmE49Q4r0JtzK/sI6UNmmzk1T2CJY9jiLcGNp83K5FKEKfcb8SiWkNkMocJmsNILFQhB+XWouhL0BVShBCkLWGiCafQ1ND+N1XoAhjynFNYqmXyVpn8LuvwqXVkswcIm124jPWk86eJGOewu1agEdfQtYaIJ5+FVDxuzeiq5XFY5JW7jwyh7BkBEX4cOvzcevz8/aWHLadIJp6CQQE3deTMbtJZvZjyUkU4cetL8CtL0CIcy98GfMMabODdPYY0dSLWHaE8fiDqEp5YR2vsRqPvqww2yKlxJZRUpnDZKzT2HYMIQxcWj1ufcmM1oZk5gCp7FH87s2oSimp7BHS2ePYMoWmlOFxLUVX6wtjs+wY0eSzmPZIYR+G1oLPvQlFuGa9L2w7QSKzn4x5CkkWTQnhNVaiKVUzzhbZMkMqc4S0eQJbxhBoqEoIQ5+LoTUVXd8ihI6i+FBwoQjnxc3B4Z3AEdEODu8GShXSOoWQZk44m8dB+EBMbW0skXYE7DGQ2dxnaiUCFwiBtEZBRkCtQ0x5SEuZBasHRBlCKUNigtULMgP6UlBCzCSipbTAHgU5mftclCCUcpgiYHLrjOWOKy0QBiilCBEAMaXknVBACeTPyXlgn0UIgce1DJ9rNZHUFhLpPbj1nIi27AnG4w8xFn8A244ACiARwkXAfRXhwGfR1ZoiYWXZcSYTTzAWv5+sOQDYgEAiUYSLqpI/o9T7AUAjY55mKPJl3PoSvK7VKOpUEZ1lPPEgsdRWGrVmXFot8fQOxmLfIeC5lnh6OxnzFJoSpjL4h0wmnySZOYBlRwl6rqeu7O9QFE9erEYYjd7PRPKx/HkIwEYIg1LvHYT8n0BTc4LXknHGYt/FtIex7Sijse9gWWPYZJAyiaqUEw58ijLf3Sj530Yk+SSTiScx7RGy1hmkNBmPP4QQ5x5fQuh49KWcvc9T2YMMTv4Dqezx/DXKvTgAeFxLqS79IoY2v+jaxlJbGY19E0X4SGWPMZl4FFvGsWUGsKkM/hHl/vsQ+RkdWyaJpp4lmTmILWNkrUFKPDfhNVbDDCJaSkk6e5Th6H8QT+8CrNxybFxqI+HAbxP0XFsQxVJKLHuEoci/Ek09j5SZwvpIiaZWUFXypwQ9181y7+moIoCi+IqulYODw6XD+WU5OLzj2KDWgx1F2qMIpQJpnQK1CmQst4qUSKsbGf9azseMCcKP8Lwf6bkHIbyQeRkZvx8R/GtwLT+3e/M4cuJPEf7fA/dNYEeQ8W9C9lBOTPs+gfB9lql2DiktSL+ITNyfWwcJajP4Pp2zfwgttyz9HDLxQ7BOA1lARxhXIv2fRYip3k+BEEGkI6KnoQgXbtdiJpNP5UVd7vqPx3/C0OSXcbsWU+b/HVx6M5Y9yWTiccZiDyClTU3pf0cId2GbycRjDEz+bxThpdR3B15XO0K4yFqDpLOduPXFXIxtx7SHSWb2URH4LKnsUYYjX2Eo8i/4jI3Ulv0No9FvEU9vI5U9htdoB0zG4w8yHP0KXmM15cE/QlOryFoDTMR/wkj06wjhoiLwmaKIaTrbwdDkPxPwXEPAfTVCuIinX2Ms9m2GI/+Jx7Ucr6sdgBLv+wm4r8a0R+if+J+Y1gj15f+IrtYV9peLSospf5ehqZWUuVbgcS1EVcowrWHG4g8QTb2IK9ZMdelfIDj3YgFgyzijsW8hpUmZ725cWiuSLBmzE69rZe6FNo+mhKkr/0dsmSCeeoW+8b98k2s7xMDk35PI7KPM90H8xiaEMEhlDzMS/ToDk3+DrlbjcbUXxH00+Txjse/j91xJue8eVKUc246TNjvJmF0YWtusx9OUUsr9H0NV/LzzM1EODr+ZOCLaweHdQGsCswOs00hhgD0E2lzI7AJA2sPI6JdBJhHBvwIlDOYRZPxbCATS+xFwrYX4/ZDZgdQX5qLR0ob0i7kIsL44F0VWShH+z4PVi4z8NWcjXueQkN2FjP8HwtgMxp8BFjLxE2T0HxElfwv6IqQ1jEx8B5Q6ROBPAA2sfiCVi0ifj/dDCHkb4pegvNcvFwqaEgZsLHscgIzZw3j8x6hqmOqSv8DjWo7IR/Y9+hJsmSKSfDInMj1XIRBkrT7GYt9BoFFT+lcEPNcULBpSSiRZBOpFJZBKmcXvvpKA53249cVMJB7DlllCgd/C0NrImD2kIofJWn1AO2nzFGOxBzC0VmpK/xtufR4gkFJiaHPoHf0cE4mfUuK5CUNvPXccsvjdm6kq+UIhQdDjWo5pjzIe/xGJ9N6CiNbVMKhhFMuLEG6E0HFpDbi05lnPQ1drqSn9q3y1lLMvFRJdrSWVOUIivSsX2T3vPrbtJKY1SG3Z/4vPWFvYVsrcb2jqtRVCIHDlyxmGEW/wOJXSJJp6kXj6Vcp8d1MV/FMUxQ0IfMYaAAYm/o6JxE/xuJYAOiDJWD2AJOi+joD7usI94pebkTJZeMGaCVUpIRz45KyfOzg4XDxOCzIHh3cBIfyglOSivtYQ2JOIqVGk7AHI7kf4Pg6uDQhtHrhvB9cmZPJRsIdBqQBjHTLzEuTFmJQTyMwu0BeC2pg/lopQQ7lI9wxiV8osMvXz3Gfe+0CbD9oihOcDIJPI9Naza+ZtJQoolaC1gbEZjOsRTH94C7USoTUX2UEcznJWfMnctL55knS2A49rOW7XkoI4AtDUGgLuq7BkLOdDlmZ+my5S2aN4XEuLBDTkBJ0iXEVe4reLS2tCoKEIN5oSQlVKcKl1CCFQlVzFB1umAEikd5G1zuBzb0BXa5DSzNmLMDG0VnS1jky2M2/DOJcMqColBDxXo4hgYZki3Hj0hSCtIp/x20EIBUUEyAl6Kz8uE00No6lhbBkvCOOpSCR+95V4XcuLrqUQ6kVdW1umiKdeRgidgPsqhNCmXCuJ11iNEC4S6d35ZQACt74EIXTGYt9hIvEwWXOgMG5F8RbdNw4ODu8+TiTaweHdQKgItQ3MLhBBEG6YWgrL6syJbLWq8GAUkIsIJ38AdgSUWoTrCmTq6ZynWqmE7HGw+hDej1y471HGwOyB7Ank+OemfJAGGc35nwGhhMFzBzL5IHLiD8G1HuG+CrR5ufE7XCAyH4FW8lFXG9MaBix0tXpaAqEQAk2tRhEeTGsAW6ZQhJesOYhE4tJaigT0pUWgiFyEFCEQQkXBw7l4y7mXASAvjlNMxB8mlnppyuc5zibPWXa0sA2AIrzoavV5UXMxJbI6XeC+FWyZIZ09QTy9nVTmKFl7MOdvtuOkzS5cal3ReM6NgHxznEt9f1tkzNNYdpQzE/9jWqKflOm8/zqOLRMo5D73uzdSEfwjJhIP0z/xv9DVKvzuzQQ91+LWl6AIr1O60sHhPcQR0Q4O7woa6HORyZ/mEgvVpmLvsLTICZXzIktCA2mSS9QSSG0uqK3I9HPgWg2ZHTnrh77swocibcACrQXh/eh5ukfkxgY54e+5M3ec9AvI9AvI1M/Aczd4P4JwSrVdEFJmSWWPIISOoc8hF+/MJQSKWfzLueUCicXZxLicJ53ZqzG8tVHl74PpR86J2Sk3hVBmtdRKTCQSXavD0FrhPEHndi0EQFdrKN6JWpQceymRMstE/GGGo/+ObSfwGivx6AtRlCBSphiL/+gNts7VVb7UEV6Zq6mCEBqGPm/GknMeox1dqSpcFyEEqghQEfgsJZ7riaSeI5Z6kbHY9xiP/5gy3wcJB35nWqUUBweHdw9HRDs4vCsIUKvBHoHMfoT7hmKrhdoAdjRn05CyIEak2Z3bLt8sQSjlSNdqSL8M5glk5lWEcVUuin3BQ/HmothWHxibEcobeJiFitBakWojwn0LJL6XS0Z0XwnK7ElNDudIm50kMnvQlFI8ruWAipZPhDPtEaS0iqwCUsr88hSaEkIIAxCoagiQ+eiv9ab2gnPdES3Oj7raMomVn3G4GDQlhCJc+I3LCAc+nR/rdJSiKjQXi3zDKtEZs5fR2DeRMkNt2d/hM9agKH4EGlmrn8nEU1xspPutIlDRlAoU4SHkuxevsWqWNZVpUWohFAy9jbDWTKn3/SQz+xmJfpOx2A/QlAoqgp9550/AwcFhRhxDlYPDu4USBgywukFrpOjnp7eDWotMPoK0epF2BJnZD6ktYFyVE72QE7XGlSATyMRDINP5ahrFNYClTIFMAXbO1yyTSJlCShuheBDuq0GO5qwa1jDSjub+P70DaU/k9mMNITO7kNZQrpa1cIEIMJMoc5iOlBYZs4/hyL+RNc8Q9NyIoc1BCIGhteLSGkhlDuUsD1P8wraMEE+/Bqj5Sg1Gbhu1GV2tIZl5nVT2EHJKJFkikdLO+39z+8p5Zl1krQFsGS0sl1KSsXpJZ09e9Dl6XatQlRCJzG4smUARAVQlWPifIvx5Aa1dAtuBgkBHSgvbjs+6lmmPkTFP49Ia8bs3oqmhvP1FkDG7MO3hixzHW0cIA5+xHlumiadfQwij6FopIoAivPlrda7WtZTZwvcshIauVhJwX0M48CnAIpU9iPNbdHB473Ai0Q4O7xZKKWh1kI2BUgv24LnP1CqE/3O5rn+TX8h5ju0YaG0I772IqZE8tSmX5Jd+BvTVuf+eSvplZGZrLoHR7MkJbnsUlHAueVBrBdcmhKcfmXoSmXoGhJ4T5EoFIvBfcmO1x5Cxr+ZqSSu+nK1EphHeD4NS8+5cs18xstYAGbMLWyZImx05r3B6K15jBeX+j6LkK5e49BaCnusZjX2XkejXKPPdg6ZWIGWKSHILkeRTeI12/O7LCxFll9ZIifcmxmLfY2DyS4R89+LSWxEoWDJB1uzDpdUVytzpai26WksivYuJxGOUeG5CCIOsNcBY7PuY9vhFN+Fw6/Mo8d7IWOwBhib/mXLfh9DUMLnkwzgZsweJSdBzw4zJqG8FRbj/L3v3HVzXdSd4/ntueDkiA0QmARLMQRQlKlpWcGxbtrod2nZ7PbanZ7q7ert3ZmdmQ23V1u5W9XRvTdds93SyO00H2+0gW06SJStQoiiJpJgzSCLnB7yc7r1n/3jgI0EAJMAEgDwfl+3CC/edd999fL977u/8friMRrKF90lkfz6dD+xGyjy6Fi7XotZFAEOLULSHyeQP4HFtAGzy1kXGkn+FlPmbGsdlcroqSqnGNThIijhOZtaJg8Ak6H2cePaHTGW+h6FX4HfvQhMBJBa2M1UqG+jaisfcWN7+VOZH6FoQU2+aTgER2M4U6fw7gMRlNN+i96Ioyo1QQbSi3FYawvtrIPylIML3RXCmEHotUngRgd8pBbfCAPeDpRnq4mmQGdAqwNyIEKGZuabCi/B/vdT90FiN0PwzX1KvRpgbwXRKaRdl7nIettD84PsCuHaXZsZlHkQAjFbQG0qPMdog+LultA+ZBUwwmsBYO+9l+3vdSOKP0IQX20ljO7FSPWffJ6kKfKXcZAVAE24qg19BygJTmedJ5d/E0KI4MkvRHsFjdlEb/g/TpfGmn6P5qAp+HSkdpjI/oL/w7zG0SkDHkRkcmaA2/D/jMbsAHV0LUhn4MkVrgLHEnzKV+SGa8GE7U3iMDkKeJ0kX3r2p9yuEl6rgbyJlgXjmp6Tye9C1CAKB7aRxnCQh34cIeZ6+6VLFmggQ8X2CdP49xpPfJJF9EU34kNhUBb5CxP8sUKouEvF/konUPzIw+b/gMhoBsJwJ/K770TyP3JJZ+InUfyeTP4Ajc1j2CLYTJ5M/yMDkf0DT/OgiRDTwuelKHwK30UFd+H9jLPFfGU38MboIo2l+pLSwnThSFmis+H+nT4IEIElmXyGVfx1dqyp1opwOoi0nRsDzASK+T6NqQCvK0lFBtKLcRkJo4Lqc/yjKs0xMl6H7wJWPRuiNpcYs19umubb037nuNzfCFa8z/4YMhNkJZuc897sXvq17nNe1jUuBTymADeEymvG5duB1bZwutzaTodVQE/49fO5dpPP7sJwRNOGnwrWVoOfxWd0KS8+ppTb8+wQ9j5LOv0thulGOoVXgNjsJep7kyn/Wg94PYuhVJLIvU7T6EMKN17WZkPcpsoUTaFqo3D7bZTQT9D6JoVcDIPDgc90PQnIp9cjUGwh6P4B56URLCAytmtrwvyfofbrcShxpo+uVeM2N+D27y9UuNOHC574Pl9FUnpW/TExv/yncRses/SWEht+9i1UVf0Ay+wpFu7/0HK1uesFmiaZ5qAx8DZfRQTq/F8dJouuVVLh/nYD7YVL5t8nk981aoOkyWwl6n8JltFzzs77EcVI4Ml3a/3olQe/l77KUeWySM2a9hRD43ffjqvhDUrk9ZItHsO0YQrgw9SZ87q343Q9wOSjWqAn9Dt7cZvLWBWxnCgF4XJvwuTYTcD+KoRYVKsqSEvLKZDxFURRFURRFUa5LLSxUFEVRFEVRlEVSQbSiKIqiKIqiLJIKohVFURRFURRlkVQQrSiKoiiKoiiLpIJoRVEURVEURVkkFUQriqIoiqIoyiKpIFpRFEVRFEVRFkkF0YqiKIqiKIqySCqIVhRFURRFUZRFUkG0oiiKoiiKoiySCqIVRVEURVEUZZFUEK0oiqIoiqIoi2Qs9QAURbk7SSlxcCg4RTQELs2FEGKphzWDlJKiLGJLG0OYGEJfdmNcTqSUWNKi6Fhz3q8JgVtz39Q+vPq4MTUTTaj5HkVRlh8VRCuKcltY0mLfxAFeGX2DqCvCrzV+gjpPzbIKUuPFBN/r/zEXMj3sqtjBh+s+iCHUP4vXsmf8HX4y9NKc9zV5V/GVts8TMoM3vH1b2uyfPMSLw68SNAP8auOv0OhtWFbHjaIoCqggWlFWjNKsqUUsP8mFdC+DuSFSVpqiY2FoBgHDR9SM0uirp9Zdg8/wYgpjyYKPtJXh5ZHXOZPqBmB9qJMaTxU6+pKMZy5nUt28NfEOWTtHxsqwq2I7NZ7qpR7Wspa388QLCRwcHClxpE1RlmamPZobW9o3tf2ck+eVkTc4lTwLwNrgauo9tXf1yU3ezpN3CuW/vboHYwm/u4qiLMzd+6+SotxFpJSM5SfYM/42+yYOMFWMk7fzWNJGIhEIdKFjagYezU3UFeX+im08Xfc4Xt27NGMGHJwlee2FcqREykt/3VzAIpGkrQxSSvyG765NQdhdtZM2fzNpO0vaStOXGeDlkTfIOblb8wJS4iCv+PsmNoXEciwydg6P5sKtu29+fLfBa2Nv8YuR17Gm02S+0vZ5NoXXL/GoFEW5HhVEK8oyJ6WkPzvI31/8NieTZ6fzdw3cmguv0BGiFAyWclWLZO0ck8U4ITPAk7WPLdm4/YaXR6oeJG8XqHZXsiG0Dm2ZrWVeE2hje3QTF9N9PFL9ABWu6A1vK2Nl+cee7yKRfKbpWaKu8C0c6fIghCBshgibofJt3amL7Bnfd8uCaLfu4ZGqB0hZKaJmhE2RDejixq5eONLh4NQRXh15k8drHuKByvtuyRhvNUdKRnNj5Rn9u/UETFHuNiqIVpRlruAU+MnQLziROI2DpN5Ty47oFtaFOoiaYTShk7NzjObH6c8OciHVy1BumPuiW/Es4cybKUweq97NfRVbMIRBwPAvu8vTla4oX279HAWniN/w3XCwBjCQHeJI/AR+3UvRKd7CUd5bDKGzu2onmyPrb/q4KTgFDk8d51TyLJvCXbd4pLeOT/eW3qMEDQ2P7lnqISmKsgAqiFaUZe58uocjUydwkNS6a/hq2xdYG1ozK+BbR0c5pWA4N0qtu3pJZ36FELh1F27dtWRjuB4hBEEzcNPbcaTDxXQviWIC/xKlz9wthBC4hIsK180fN2kry7nk+VswqtvLb/gQ0+lEHt29pGsZFEVZOBVEK8oy15sZIGWlEAjWhzpZG+pAn+dyr0AQMPysCbTd4VHe23J2novpPqybXFSn3Fr92UGmiomlHsZ1+QzvjCD6bl5EqSh3E/VNVZRlLm1lKEoLDa1U3eIm8iWllBScIrHCJJrQiJghXJqLeDHJmeQ5TiTPMFmYRBcGla4oG8LrWO1vXdAl9aJTZLIQn7c6Q4UruqhZacuxmSrGKTpFgmYAv+5DIklaaU4lznA62U2sEMOWDgHDzypvPeuCa2gLtMyZliGlJG1nSBZTc76eqZlUuqILmgEs1Uu2yTt5Ck6BwexIuQqJJS3G8uNz7gdD6ERcYUzNnLW9yeIUebuAJjTCZuiaqTiOdIgVJik6FrrQic6xzUvbzTt5JgtxLqR76csMMF6YIGfn0YVOwPDR4K2nI9BOo68Bz03WeL4RlmMxWZia9wQk6oosOC3JkQ4Fp0DeKZCz8xyaOkbWzqEJQcJKMZQdmfN5AcM/6xhPWWlSVhqkxKN7CJuh6+4bKSUZO0uimARKwXHQCFw3x9mv+xDTj/HqXgxN/TQrykqgvqmKssy5NBNd6EjpzBsALsb59EX+y5k/x6N7+HLrZ6lxV/Hd/hc4Hj9F1slhSxuBQBMab4y9zdboJp5d9RFq3dXXDCIGs8P8t+6/YbIwNef9v9f5m3SFOhc8zsniFH/R/Xf0Zvr5SP2TfKT+Kfozg7ww+HOOxk+Sc/LlQFVDw9B0OgOr+b3Of4PPmJ1SYUmbPWNv84OBn875es2+Rv7Xrt9b0Nj6s4O8P3WU/swgw7lRRnJjJK3SZzOSG+e/nPnzOQOnKncF/7r9N2jxN824XQJ/e/FbnEqcJWgE+I3Wz7A5smHe18/YWf6s+2/pywxQ6argN1fP3iZAT6afPWNvc2jqGLHCFJa0sKcrusDl/RbQ/TxUtYun6z5AlbtiQfvgVhkrTPD/nf0G4/mJOe//t2u+wtbIxutuJ2fnODB5hO7UBQazw4zkx4jlJ7GkBRJeHP4lr46+Oedzn6l7gk+t+uiM245MHec7fT8ka+fYFO7iq+1fXFAw/4uR1/jp0MsIxPRx++R1g2hTM3FpJlk7i0d331RuvqIod44KohVlmavz1ODVPaSsNCeTZ8r5zjc6Y2g5FkkrRcpKcXDyCMO5Uc4kzxEyQ9R7a3FrLhJWiol8jISVZM/Y26StNF9q+Qw1nqp5t6sJDa/uITNdK9iSFlk7VwpiYNH1g6V0SFsZklaK4ewo51MX+efe79Odvohf91HtrsQQBra0S3We7Sx13lq88yzKEpSCFa/uwZY2trQpTFczkUgydmbBYzubPM+Lw6+St/Olsc6owyaRSBw5u7yflHLeim1ZK0tyOm3n0j6bj5SyvG/cuht7jtcCGMuP88roGxScIl7dQ9QMEzQC+Azf9JWDKWKFKWLFKX42/AopK80XWp7DZ/gWshtuCY3ScePW3djO7OPGmqc74tVSVoZXR/dwMd1Xvu3KUnkS5vxMLt87U2dwDX7Dz0h+jJPJM/Sk++gMrr7m9y5tZzgweZiklSJihukItC8oNUMXOj7dS7yYwKt7MNVMtKKsCOqbqijL3JpAG7XualJWmt7MAN/rf4FfafjQTXdxk8Ce8bfR0HioahdP1DzCKm8dmtDI2jmOTJ3gBwM/YSQ/xpH4CV4d3cOzjR/DdejWWAAAIABJREFUNUfaAEC9p5bfWfM1UlaKjJ1lsjDFSyOvcTp57obHeElPtp8fDv6M/uwguyvv54HKHTT7GvHqnhnpFGuvEeToQuehql1sCK0ja2dJ2xnOp3r48dBLpcv2i9AV6uSLxq+Wg9epwhQ/GPgpaTtD1BXho/VPz9m1z6O57+hMb7u/le3RzWhCZ2NoHe2BVipdUXSh4UjJeCHGz4df4a3xdyg4RfZPHuKR6gdYF+y4Y2kdVe4KfmvNV0hZaTJWlqligpdHXud44tSithMw/Hy84RlS1uWTodfH3uJY/BS60NlZsY1tkU1zPrfRWz/rtrAZZFt0E+fTF5ksxDmRPE1boAWXmPv4BziXusBIbmx6mw20BVoWtB91oZdP/jyaR81EK8oKoYJoRVnmwmaIZ+qe4O8ufou0nWHv+HtcTPfxYOVOtkc3U+Opwqt5bijoKToWO6Jb+Hzzp2fkhHp0D49UP4ChGfztxX8mZaV5c+JdHqzaSZN31ZyvZWgGle4ole5SreWUlebA5JGbe/PT+jL9jGpuPrnqIzxR8wj+K2ZK/fiIuiLTqSLzd+YQQuDVPXi9l2eq3Zqbl0ZeAxYXRNd7a6n31pb/HswO85OhX5C2S+XKdkS3XHPW/k6JusJ8qeUzuHX3nPnOzcYqnmv8OIliigOTh0haKS6kexY8g3or6EKnwhUt1+guncAd5/git+PR3Wy5Ku3jdPIsx+On0IVGm6+Jh6ruX/D2DGGwJbyBX47sYbI4xf7YYR6ueoBqd+Wcj8/bBY5MHSdlpdGFzn0VW+e9KnK1sBni6+1fImvnCJqBBT9PUZSlpSq6K8oKsLNiG59a9TEiZggHh/7sIN8feIE/Ov2n/EPPd3kndoBkMYWUi2vv5tZcPFy1a86Fg5rQ2Bhex7pgBwDj+QnOLlG5MFs6rA2u4bHq3fjmKSGnCaGaVFxFExoRVxivPv9JVtgMse2K4HM8H5s3PeReIoSg0VtPZ7AdAQznRjiVODvv46eKcY7GTyKRpUW5obULfi1TM2jxN7Eu1MEqb72aiVaUFUL94ijKMieEwKO7ebLuUf7N6tIiq6ARwJYOE4UYr47u4a/O/3f+6PSf8vPhXzKej10j93OmsBmmxdc4b4AVMPx0hTrK5bfOps4zf1bv7ePRPOX3rern3loaGlFXBGM6cMs7BeQyb9d+p3h0DzuiW/DpPrJ2jgOTh8nZc3dmPJe6wHBuFIFga2TjHV+gqSjKnafSORRlhTCFyaZwFx3Bdk4kTrM/dohjiZNM5CfJ2FnOpLo5mzrPe7GDfKzhGbZENqChXTPorHJX4L7GpWMNjWp3FR7dQ9bOMpQdwZES7Q7HsR7dRfM1gn3l+i4vapQzToSkZLoaiw7SXvAJ2L1ACMGGcBcN3jrOps5zNnWevuwga/xtM45FRzrsnzyEJS2CRoCtkU24taXrFqooyp2hgmhFWSEu/Wh7dQ/bI5vpCnYyXpjg0OQxDkwepifTT97Jcyp5lrGLMb7c+lm2RTaVZ5Hn4je816w7LYTAr/twT5ffyto5irKIwZ293KwJfUYetLJwUkqminGGc6P0ZwYZyo2QKKbI2BkKTpGiUyRhJVWr8nkEDT87ols4l7rAZGGKE/HTtPqaMK9YYDiUHeFiuheABm/dNRe4Kopy91BBtKKsQEIIfIaXZqORJu8qHq95iH0T+3l55A36sgOM5yf44cDPaPE1XfOysiEMtGsE2VBaMKhNX+p3KDWzuNMLnwRCdXG7ARkrw7ux99kzvo/u1AXyTqFcA1xc+o8AR8olSdNZCQzNYHN4Pa+MvMFYYaJcweTSQkhHOpxInGYiHwPgvujWO1oiUFGUpaN+lRRlhRNCEDKD0yXq6vnGhX9gODfKYHaYk4kzPFL9wLzPtaR93dDJkU55waKglOKhLK356lBfKW/neWHwRX4x8jppO4NHc9Pub6XF10idp2a6K6IHj+7iQrqXf+n7EY7KhZ5FIGjw1tERXM34RIyh3AgnE2fLlT5SVppjiVMUpUXEDLMxvG6JR6woyp2igmhFuUsYmkFXqJMt4Q2M5cfJ2Fn6s4NIKee9tJyz89dtgpJ38uXGF4YwcC+wBbNy+zjSoSDnT7+QUnJ46ng5gI6YIT656qPsqthOxBWe9dj5Wm4rJW7dzc6KbRyJHydtlRqq7IhuxqN7GMmNlat2bAp3UeupXuLRKopyp6gpJUW5i2hCo9pdiYaORJY76s1nqhineI3ueFJK4sVkuSJBxBVR5bduA3HF/4K8bqnChJXEukYOc87OcSR+gvR0F8YHK3fyRM3DswLoS4pOUc1CX0dnsJ1GbwMSWa7EIaXkaPwkaTuDX/exJbIBj6ZqPCvKvUIF0YpyF5FSkrIzSCQaGj7De80FTrHCZDmXcy4Fp0Bvpr8caLf4Gq+TQX3vurSfJYvPLxZClDtBWtImM08ZNSh9xr3pfnLXOEHKOQVG82PlvzeGu+bNKS9Ki4Hs8KLGu1KUFtWWPhfnJnO+Q0aQ+yu2o6Exnp/gdPJcKZUjfhJb2tR5a9kUXq8WFCrKPUQF0YqyjEl5/VnJ8mORJKwkZ5LdWNLCq3tomKOd8ZVydp4j8RPz5teOF2Ici58EwBQGa4Nrrlnt416lC71c0ixtZW+o0kXEFUZDI+8UGMgOzptikXfyHImfJHuNQPtq1/rMYvlJDk8dW/R4VwK37kETAls6pKz0opsRXUkXOl2hDqrdlUgkx+KnOJ/uKZ+sbAlvIGD4b9XQFUVZAVQQrSjLWMbO8vLI67wbO8h4PkbaypQuvU8v9pNSYkubnJ1nIDPE9/pfKHcVbPKtYn2w85rbt6TFnrF9HJ46Rs7Ol4MMRzrEiwl+PvxL+rNDAKwNrqHV3zxrpk1yeRxFx6LgFMjZeXJ2DvuKVJG8XSBr58jbeQpOEcuxZixavJ0uLcSzHJuiUyyP5er3nLGz5OwcebtA0SliSxtnAeNzay5q3KU231PFOMcTpyg6xRnvTUp5zffbEWjH1AxsafNO7CDnkuexHKv8OTvSIVVM88bYPg5OHr5m+oVbc1Htvtx2/Fj8JEU5czy2tBnLj/P84E/L5dmu5dIYrt6HeSdfnnl3pFP+7Mv70Cntw6vf97WOG+uK46bg3PhxU+epxtRMLGlxOnmOkfzYjBPGS+9pIdsTQrDK28C6UAcaGhfTfRycPMJUMU7ICLIteu1ykoqi3H3UwkJFWcaKTpH9k4foTl2kwhWh2d9Eg6eOCle4tMBPlqoDDOVGOJ44xVB2lKIsEjZDPFP3AcKu0DW3X+GKkLJS/O3Fb7GrcgdrAm24NTeJYpL3p45ycPIwtrSJmGGeqHmEsBmcvREJY9P1qvNOrhycpqw059M95Ye9NPIqh+LH8Gru6aoQbiJmmK2RTfiMuVt53yqXclcHs8PknNL4snaO8fxEOW94ojDJP/T8Cx7djWd6jF7dQ4uvibWhNdfcvt/w0RXq5HjiFJa0+fHgS2TtHM2+RkzNwHJscnYOIQQbw11zzlheavl8Pt3DSG6Mv+/5No9UPUidpwYhBMliiqPxkxyeOoapmVTqUSYKk3OOx6O76Qp18vbEe2TtHG9NvIvf8LE22IFHd1NwCgxlR3h38n1OJc5Q5a4kaaVIWel536MtbU4nz9GbGSgFu06OnJ1jPB8ja5VmxccLMb7b/yOCZhCP5sare3DrLtp8LXQE22cGmRJixSkOxg6Tc/Ll4yZtpzmTutxe/pejb3IycaZ8zHg0DyEzyPboJvzXmfntCLRT4YoykB2iO3WBb/X+gJ0VWwkaQSSSglMgY2Vp9jXS6m+65rag1J57R3QL+2OHiFuJ6e+HQ2dwdflzUhTl3qGCaEVZxoQo1UfO2FnS2Qx92cFrPt4UBm3+Fj5a/yQ7oluuuwhwc3gDQTPAL0f28MLgi5jCwNAMCtOzsAJB2AzxiVUfZkfFFrR5GrNcTPfyNxf/6ZqvdSR+AuIzb6txV9Hmb7ntQbQlbV4c/iXvTx2d9zEpK81rY2/NuE1D44maR64bRJuaycNVuzidPMfR+AnGCzG+3fc8bs2NIXQsaVFwiqzy1tPia5oziK52V/Lsqo/yj73fZSQ3xoV0LxfSvbg1Nxpiuh23pMpdybMNH6Y/O8RPh1+eczya0Nge2cSpyp28Of4O8WKC7/a/QNAI4NJdFJ0iyWIKXWhsjWziQ/VP8IP+n3IscXLe95h3Cvxy9E32Trx7zX24d+K9Wbd/sOZR2gItuK46fvoyA/z1dY6b44lTHE+cmnFb1IzQ6m+6bhBd56nlw3Uf5Dt9PyRhJXkndoD9k4dway4kkqJjYUmLX29+bkFBNJQC89WBVo5Mf85e3cO26Cb8uqoNrSj3GhVEK8oy5tO9PFH7CCEzyEB2mHgxTspKl4NcTQhcmouAEaDWXcWaYDu7K3dS76nF0Bb29X669nHqPbXsmzhAb6aftJVGQyPsCtLqa+bh6gfYHtk0o0Pb1apclTxa9eCi31/IDOLV5w6gPbqH7dHNNPtWETD9N9XgRUNjY7iLoBFY1POEEHQE2xb02ApXlF9veY6XR17nROIM4/kJcnYeS1jT6R5hWv1NuHXXnM/Xhc7WyEZMzeT1sb1cSPcwWZii6BTQhUGFO0q7v4VHqx9kU7iLs8nzpKw0QTNA0JwdTHoNL59q/DiV7gr2xw4zkhstzTRbaXyGl1Z/M5vCXTxR8whV7gp2V+2k0h2lM7h6zpMvQxh0hTowbqA6S0egfc764hWuyA0dN37Dt6Cg1RA6D1XtwhA6b0/spzczQMpKkbPzGJpBwPARMcPXbEh0tYDhZ3tkM8cTp7GlTZW7kg2hdWoWWlHuQULeiYRERVFu2KW80XgxScpKk5tuve1IByEEpjDx6l4irhBBIzDvbPGlbR2Ln+T/OfXHADxUeT9fbvscft1H0koxlp8ga+cQgFf3Uu2uJGD4VYCwCJZjMZ6PlcoHOkUQAlMY+AwfISNIyLz+Z5Rz8oznJ0haKSzHRhcafsNPjbsSr37tiitXc6TDRCFGrDBFwS4ApbrHETNMhSuy4JOtlcyRkpSVKqWe2Fls6WAIHbfuJmD4iZhhXJq5oP0qpeTd2EH+vPtvyTl5Pl7/DL/W9Il7Yj8qijKT+tYryjJ3KaWj0h2l0h29pdu+dAZ9qethaK6cZ2VRDM2gzltDnbfmhp4vhMCre2jyrbol4ynVDq+asdDwXqPdwuM75+Q4njhNzsnj071siWxQtdMV5R6lqnMoiqIoygL1pPs5OHkEgK5QJ82+RnWlRlHuUSqIVhRFUZQFSBXT/GLkdSYLU/h1H7sqtqva0IpyD1PpHIqiKIpylbSVYaoYRyCQSCbyMfaM72P/5PtIJNujm9ka2aRmoRXlHqaCaEVRlJsQS2Z45eBZ4pkcmhD4PS5W11eysa0et6nfNUFW39gUvzhwhs3t9dzXubBycCvZsfhJvtX3AyzHKnc8LMpSJ8pmXyMfrX9azUIryj1OBdGKoig3IZbM8M+vvg9CUB8NkikUyeYKtDdU8a8+dD+rGyqXeoi3xHg8zZ+98Db/5uMP3hNBtCY0io7FZGEKiYMuDCJmiI7gaj5e/zRNvoa75gRJUZQbo4JoRbnH1Hlq+GzTswA0+hpwafPXf1YWxjR0PvbAer745A6yhSL7TvTwZy/s5U9/9Bb/xxefIuz3IqXEsh10TYAQ2Hap1bQQAkPXEEJMt/gG25luQy0EmhDomijfb9kOmiZwnFJtFUPXsB2JIyXG9OMuuXQ706+jaxqadvn+ma8HCGa83pX8HhcuUyfsv/F63SvJmkAbX2h5jslCHFtaeHQP9Z5aVgdacetu1eJbURQVRCvKvUQIQbWnik+s+vBSD+Wu5XWZPLqpnWQ2z1/+ZB/vne7ng9vWkM4V+INvv8qT2zqwpeTF904RS2ZprA7ztY88QENliIJl8/LBM7x57CJj8RRCCNrrKnn2oY10NFaRL1j88Q/20LmqmkPdA0gJzz68kb3HezjRM8yH7+/iI/evQ9MEJ3pG+Mk7J7kwFMN2HKJBH0/t6ODxzatxmQZSStK5Aq+8f5a3T/Qwmcqia4I1DVV8/MH1dKyqnvG+TF0j6HXfM0F01BXhgcr7lnoYiqIsY6o6h6IoSClxpEPeLpCxcmSsXKnbnmNxo/2YjsW7+engm6SszC0e7fKn6xq717ficRkc7xmmULSxHcn5oQm+/9ZR3jx6gV1dLXz8wfW01EbxuUtXA4qWzam+MZqrI3ziwQ08s6OTk70j/PEP9hBLZnCk5HTfKK8ePse6phouDMf4w++8hq4LWmor+M5rhxhPpHEcSffgBADP3NfJr+zegMvQ+ZPn3+LoxWEAHEfyxpHzfONn79JWV8End2/ksc2rkUAmX5z1nqrCAX77Ew+xvqXuju1HRVGU5UzNRCuKQt4pcHDyFG+MHWQ4O4EQgogZYFOkg6dqHyBoXr/F8tWOTJ3hQOwkWyKdBIzFP3+lC/rcBL0eYokMBcsGQEpIZQv87rOP0FpXgQAKlo3LKDXr8HtcfP0ju3CbBqahI6XE4zL5w395jXg6h9dlUrQcNrfV89yjm+kfj3Oid4RP7N7I6GSKEz3DjMfT1EWDPHPfWp7a0VkO0De31fN7f/YjugfH2b5mFY6UjE6lCHhdPL5lNZ2N1Uggmy/iNmc3Dwn63HzsgfV3avcpiqIseyqIVpR7nJSSt8YP8c89L7Ip0sHTdQ8icRjOTTCYHcPBuaHtPlK9na5QO1XuyC0e8coggLnWnW1qq6O+IoQ2fafbvPzPsCMliUyeQ+fOMzCRIJsv0j8ep1C0saYDcYDqSAC3aRDyuakI+Aj7PCTSOXRdI1+0ACjaNoe7B+kenCCZzZPJFZhKZ8kXLCSl2fIdnY28dOAMf/z9Peze0Mqudc201EbRNXWRUlEU5XpUEK0o9zgHh0OTZ6lyR/lS60eJmEEkkoJTpOhY+K+YRZZSkrIyDGbHSFlZdKERMv3UearwGaVc2b7MMCO5GBKJT/dwY8kgK18ikyeRyVER8uEydHLTwa3P7ZqxuO8SKSWn+8b4rz/Yg65prG2qJhr0kivMTK0QAnSttBARIdA0cdViwVLFkD9/4W3ODo6ztrGa2miQoNeNaVyeYdaEoKu5hv/9C0/y8sGzvHa4m5+9e5LHt6zmUw9vpiqsyrcpiqJciwqiFeWeJzA1HUtaFJwiklJ5L4/uxqO7y4+SUnIm2cP3+l9hMDuOITQsaePVPfzm6k+zOlgqe3YxPcS+iaOcTfbi1d38x64vU++tnue170624/D2yR5yBYv1zbW4zMtB9Hw1HXIFixf3n2YimeGPvv5xmmtKM/ivHurm+b3HF/X6R84P8dKBM/ynz3+Qp7Z3oGsaI5NJfvj2zO0Yuk5Xcy1rG2sYnkzy1rEL/MMrB/G4TL745H1zzqQriqIoJSqIVpR7nIZgZ8UGTiYu8PcXfsxjNTvoCDYTNoPllAOApJXhW70vkrHzfLX9WZp8NRSlzWguRp23qvy4XZUb2RpZy/f6X+bo1LmleEu3TCZboLt/nMl4Bp/XRUdzNaGAZ976wFJKsoUih84N8q1XD9FWV8H2jlULqidsOw6ZfAGf2yQS8AIQT+d46/iFxY87X0TTBFUhH5oQFIoWe49fZDKZLT/GcRzG4mn8Hhd+j4v6iiAPb2zjhX0nGIolF/2aNyJfsDh5fpjJxMIWn/o8LjZ2NOD3um7zyBRFUa5PBdGKco8TQnBfxXpMzeCnQ2/x1xd+SJUrwpZoJ49X30eVO4IQgpOJCwxkR/ly26+wJdJRDgzrPDObibg0E5dm4tZc80+7rgDZXJF/+sl+fvTqUWLxND6vi8d3dvCbn3mYiqtSHSzb4eWDZ+kenCCRztE/PsWqqjBf/+gDVIYWlhbhdZvs6Ghk/5l+/vA7r1ITCTIUS5AvWgR97utv4ArrmmporArzzZ+9y9sneoincyQyOaJBb/kxBcvm+b3HONU7SkXQj8vUGI4lkVLy8IbWOzILnczk+MZ393LgRN+CHt9cH+UP/qdP4vdW3OaRKYqiXJ8KohXlDhqZSHD83DDFKxaJAZiGxrq2OhpqwgvelmU7nLk4Qt/w1Kz7vG6TbV2NBBdY09fUDLZH19ERbOZiepC9Y4d5ZeQ9LqYH+Vftz1LhCjGen0IgaPLV3hOd2obG4/z8rROMTaYASKbz7DnYzSM71vDIjtXlxwW9bh7a0EosWZpNbawO8/R9nexc20Q0cDmf3DQ0HtrQyuqGylLDlavomsbjm1ejaxrvnxsgWyiya10TG1rreGn/GUI+D4ausXtDK43VpeOkc1UVIZ8bQ9cI+z082NVCZchHc02U//jZJ3j1cDfxdI6GyhCf/cBWDncPUhMJICg1iHmwqwXLdoglMuSLNmsaqviNp3eyvrnmNu5Z5XocR3KmZ5Sewdis+1pXVbCmqRpdV4s/FWWpqSBaUe6gE93D/Odv/oJ4Kjfjdo/b4Kuf3s2vf2zngreVyxf5u+ff4Y0D3bPuq6sK8Yf/7pMLDqKhlAcdNgNsiXTSFWrjrbHD/HPvzzke7+aR6m0L3s7dIp0pMDGZnnFbvmAxOjEz1aE2GuT3n3vsutvzuV381iceuuZjPG6Tp3Z08tSOzhm3X9n45Ld+5fI2ntx++XGrqsL86489WP57Q2sdG1pn1nRe03A57UYXgs3tDWxub7ju2G8XQ9eprwmzajyBZTvYtlP6f8fBshzyBavUcfGeI3n1nTP8/Y/enXXPV559gNaGShVEK8oyoIJoRVkG8gWL3qFJbNtZ8I9jJlegd45Z6FvBpZk0+WpxaWa5WUqVO4KDpC8zQqP37p+Ndpk6Pq+LXMEq32ZoGpGQ9xrPUhYj5Pfwu194nGyuSDKTI5XJk0znSKXzjMZSvPDaMfqGJ5d6mHecEAKf1zWjvfslfp8bXb+7v3uKslKoIFpRlgEpYWB0ingqOyvfdj59Q5MkUtnrP/A60laWveOHCRg+GrzVGJpOopjm5eF30IVGR6AZgK5QG03eWn7Q/ypuzaTBW4MtbUZyMZp8tdR4KrClTcbKYUmbrJ3Hcmymiim8uge37sKjuVZM8F1fHWb31nZ++c4ZsvkCbtPgvo3NbOpYupnbu42mCQI+NwGfm+qKwIz7JhMZ9h/vvWeD6IDPjanr5B1rxn0Bn1vV8VaUZUIF0YqyTIyMJ5lKLDyIvjAQIzdHe+bFklJyLtXHwclTZO08htAxhE6tp4Jfa3qKFn89AEHDx+daPsT3+l/hr87/AIFASknIFeCr7Z+kxlPBaG6Sf+n7BWP5KQYyIySsNN/ofp6Q6eP+io08VbcLQ6yMf3aCfjdf/fSDrG2rYWA0Tk1FgMd3dlB1VbCnKLeD3+vCMDSu/IqbhoZ3ugOloihLb2X8minKXUjXBBVhP7F4BttxGI0lGZ9K09ZYed3ZWsdxuNA/Ti5fmqUyDR1dEzNSDxbKZ3j5bPMzPFO3m5ydRyJxayZRV4ioK4QmSrNeQgjWBJr4rTWfYSwfI2cX0IRG0PRR7Y4CEDEDPFP3IEU5exxR8/K2VgIhBLVVIZ57+t7LB1eWnt/rxjBmtl93mQZej7liruYoyt1OBdGKskSEJljXXsvBE32kswUKRZveoUm2r2/CuE7OYzKdZ3A0Xl50VVcVwmXqnO8fZ7HrsDQhygHzdccsBEHTR9D0zXm/1/CwNtS6uAEoijKL3+vCvGp9hMs08KiZaEVZNlbOtJCi3GUsy6GxNorbdflc9lzvKLZtX+NZJZOJDEPjifLftZVBwkHvogNoRVGWJ79vjplol67SORRlGVFBtKIsoYDPRXX0co5td984Rcu55nOklEzE04xMlIJoXRPUVYXwuNSFJUW5WwS8LoyrZqLdpqGCaEVZRtSvrqIsIceRtDVWcvriKAATU2lGY0kC1+hQ5ziSvqGpcj60y2XQ2lDB6B1q1Xy72Y5DKpMnlSmQzRWwrFLdYCEEhq5hGjpej4nf68LvdSGEdke6691pUkpyeYtEOkcmWyBftLDt0gmWrgkMQ8fjNvG6TYJ+N6ah33SurCMl2VyBVKZAOpunaNlY1qXX1DBNHZ/HJOj34POUSrDdbUr7vUgynSedK1AoWNiOg5Sg6xqGruFxXz7+TMO4Lcef31v6TK90KSdaUZTlQQXRirKEHClpb7rcACOTLXChf4L2xqp5n2PZDud6x8p/e1wmrY2V7D18YUGvGU9m+ckbx5mYutxIpLE2wjMPdeHzuhY1/mQ6x8/2nGDkigYktZVBPvrYBvzehbeqllKSK1icuTjKgeO9nDw/wvB4gompFNm8RaFooWsCt8vA53VTFfFTXRGgbVUlna21bFhdR0XYh65riwokC0WL5185MmP81xIKePjUk1sJ+hfXhnuhpJRYlsPgWJz3jvVwonuYvqFJRidTJNM5CgULSamGtcdtEg35qAz7aayL0Lqqkk0dDbQ1VuJxGQvaD1JKHEeSyRc5e3GUo2cH6e4dY3AswWgsSSZbIJe3kEhcpk7A66Yy4qexNsLatloe2NpGS330lgTwS+nSfhgaT/DesR6OnR2id2iSsViSVCZPvmAhpSwHsZGgl+qKIA01Yda21tDVXkdzfRSXWQqob8W+8HlNTPPqIFpXOdGKsoyoIFpRlpBlOTRUh/F5XGRyBTK5Ij2DMaSU8/4QFy2b833j5b+ron4qI34s+9ppIJckM3l+8sbxGdu4b0Mzj+1cs+ggOp0t8OJbJznRPVy+bf3qOp54oHPBQbRlO5zrGeOHrx5h7/vnmUxkZ7VFh9IMfNEqzZKOTiShG948cJ6Az0VNRZBdm1t57pmt1FZef4Hkla999fivZVVNmA8/vP62BNG27dA3PMlP3jjOngPdjE4kyc5TwjCXt8jlLaYSWS70T7D/eC8el0Ek5OOJXZ189dMP4vVc+7MsFG0GR6fYd+Qiew500zsjgUUrAAAgAElEQVQUI57Mzbnvr3zN8ak0py+OsudgNy+8dpQndq3lU09toToaWLGB9MRUmpf3neZne07QPzxJJjf3fs/mi2TzRWLxDOf7JwDweVyEAx7Wr6njk09sZtv6JvRbsB90TcN/1WfoUukcirKsqCBaUZZQrlCktjJIVdRP71CBomXTMxgjX7DmnXGamErPmDntaK7GZerlS/0riW07vHmwmz/9pzfoH1l890XbcYincsRTOZLpHE8/tG5RQfRyIKWkaNm8su80//STA3T3jd3QAtFcwWIykSHod+N2XT/QGp9M8gfffJnDp/tv6PUKRZu+4Sn+4cfvcXFwgt/+/GOsqomsqNQaKSWDY3H+2z/v4bX3zs7qDrgQpZPfAhPxNF3tdWxb33RrBicgGPDMuMnjNnCptQ+Ksmyob6OiLKFC0aYqGqAy4qd3qNSZbWgsQTyVmzeIvjgYI5MrlP9ub6rC1FdeEC2l5NSFEb7x3b2zAmi3y6Ay4icS9OIyDTRNYFk22elc1alkppwTfsnOTS3UV4cXNQZd09iydhVej4tCwSJfLKWO5As2+UKRRCq34Bn+G5UvWPxszwn+5vl9jMVSs+4XopQfG/C5y2kaRcsmnS2QTM8cX2XEzwNb2haUqxzye6mpCMwKoDVNEPR7iAa9+LwuXGbpZyJXKBKbyjAxlcK+Iti0bYe3D12gpiLIb33u0RnVZpa7RCrH3z3/Dm/sPzcjgNY0QUXIRzTkwzu9wM9xHApFm2Q6TzyVJZnOI6/YeTUVQR7Y3HrLugkKIHjF2gghIOB1o62ksxRFucutnH/tFOUuVLQsAj43TXVRDp8ewHEkA6NTTCUy1FTMvjwupeR833g5iPZ5XLSuqkRoAttZWUF0Olvgey8dKl8WBzB0jU2dDXzssY2sbq6mOhrA6zHRNUGhaJPK5InFMwyNxTnbM8bh0wOc7x/HNHQe2bEG/yLTUdwug9/59cewbad0qT5XLF+yH4sl+eb33+b0hdFb/dbLbMfh5bdP843v7SUWz8y4z+s2WdNSzYNb2uhsqaEi7MPndSFEKfBOpHKMTCQ51zfOkdMD9A1NsnNjMy31FQt6bZ/XxTMPdbH30AUKRYuKsJ+u9lq2dTXR0hCltjJEKODB4zYRQCqbZ2gswbtHe/jxa8cYmUiUA/BC0ebVd87wxK5OtqxdtWLSOt491sPLb5+ecSJSVxXiI4+sZ+emlul9UFrgd+kYmUxkGZ9Mcb5vnOPdwxw7N8hUIst9G5ppWbWwfb8wgprKINFQqSa7rglqK4O3cPuKotwsFUQryhKy7VIU0t5UhcvQpy/JZxmNpehsrZn1+ELRpn94kkKxlLdaGfFTWxlESjljVmwlGIul2H+8d8a4t6xdxf/4pQ/Q1lg5a0bPZRoEfG7qqkJ0tdfy0LZ2kukc5/snuNA/ccPBmxClShdBQyfov3z5vKYiSOiqy+m3kpSSiwMxvvPiwVkBdHU0wK8+s42ndq+jIuwrzwZfzXEk+UKReCpHd9841dHAgmeCNU3Q1V5XWgTqcfHofWuorQoR8LnRNTFrX3rcJpVhPx3N1axurOJP/ul1Bkbj5fsn4mkOneqnq71uRcxGSynZ+/55coXL+c+RoJd/+9lHeHjH6tm5xyZ4PS4qwn5WN1WxfX0TH8kVGB5PcOB4H1vWrrpls9BQmnn+zIe285FHN5T+hkWfJCqKcnst/3/pFOUudin47WypweUyyE1XATjXO8aDW9tmdS6MJ7MzUh9qKgPUVYWYjGdWXKOV0ViS8cnL6QumofPU7nW0N1aiXScYEULgcZt43CbV04sKV5psrsiPXzs6o9IKlCql/PbnH2X3tvZZJc6upmkCr8eF1+OirmrxueCRUCloNHR9QSkgl/b7IztWMzQW50/+6Y1y10wp4di5IbL54ooIojO5Ir1DkzO+N52tNTy2swOXee39DqXjNRzwEg54Wdtae8vHJ4QgHPQSDnpv+bYVRbk1VLMVRVkGaiuDVIQvt9Lu7hvHmSM9I57KMjhWmv3TNEFjbWTFzk5l80WujPsNQyPo91w3gL5b9I9MsedA94wgzmXqfObD23lwa9t1A+hbQQhRzjlfDE0T7NzUQl3VzPSCodE4haI1z7OWl0LRmlWJJOhzLyiAVhRFARVEK8qy4Pe6WN1UXf67ZzA2q8yWlJKRiSSxqdKlf5dpsLa1dsXkn16t1Cjl8tjzeYuLAxPkCysjCLsZUkr2HjrP+BW1ugG2dTXxxK7OedM3lgshBFXRAC0NlTNuT2byFIvXb1u/HLhdxqz9PDAWJxZPr7jUKEVRloYKohVlGfB6TNoaLwckyXSOwasqVjiO5MLARPnyudvUZzRqWWmqIn4qr5h9d6TkxbdO8u7Ri7e9IsZSyxUsTnQPzzhh8HpMdm9tIxLyXeOZy4fXbRIOzswZL9XyXhlBtNdtsqo2PKMk38WBGN996RDxZG7pBqYoyoqhgmhFWQZMQ6e1oQLPdC5pKpPn/MDEjMfYjuTMxcuVImoqQ9St4NX61RVB7t/cOmM2undokj/6m1/yF99+k5Pnh8lkC3flrOBYLMXgFYvyoLSobfv6phVTwszQtTlnzFfKxyWE4NEda2aUkszli3zrpwf4v/7i57x5sJuJqfSKq3qjKMqds7yvGSrKPUIIQX11mEjIx/B4gmy+SO9QDMdxyjnCuXyxXEsaoL2pEu8KzYeGUjrHxx/fyOFT/TOqPIzGknzr5wd45Z3TPLx9Nbs2t7Kpo4Gg371iU1euNpXIMJmYWZGjKhqgbiU1irlF7a2X0rauJnZvbefVd86Ur/Bk80X2HrrA0TODbOys5/GdHWxZ20hjbfieyddXFGVhVBCtKMtEfXWIyoif4fEEjiPpHZoknS2Uy671j0wST2bLj+9orl7RLYCFEGzqaOBrz+3mL7+7l6GxRHnW2bIchsYSfPfF93nprZO0N1Vx34Zmdm9tZ1VtmIBv5QbUUkpSmTypTH7G7atqwhjG0gVpjpRkc0WS6RzxVJahsQRjsRRTyQyZbJFcoUihaFMoWBQsm3zBmtE6fiWKhrx87bndZHMF3jvWW05FkVKSSOfY+/4FDhzvo6E6zJa1q9i9rZ117bVEg16MO7DwU1GU5U0F0YqyTISDXuqqQpzoHkJK6B+eIpHOlYPonsFSUA2lRhlNdVEMfWXPjGma4IkH1lIZ8fPtnx/knSM9M3JqJRBP5Xj/ZD9Hzwzy/C+PcN/6Zj6wq4PtXU34r+jotpJk88Vyre9LIkHfkpwYSCmZmEqz/3gvR88McvzcEINjCfLT5RYdKUFKJJdSNeSKSdm4HiEEzfVR/t3/8EG++9IhXnzrJBNXLfbMFywuDEzQMxTjpb2n6Fpdy8PbV/PojjXUVYdWTPqNoii3ngqiFWWZ0ISgo6WaN/afo2jZDI7GmUpkaagOTzfmmCh3KqwM+1lVE16xs7GXCCEwDZ0dG5ppb6pi35GLvPjmSU6dHyGZzs0ogWfZDmOxFD978wR7D52nq72OT35wMzs2NM+q9LGcScmsABpK1SLu5FuQUhJP5Xj57VP8/M2TnO8fJ3tVRZh7waVUqq89t5vH7lvDj18/xv7jfYxOJGfkQzuOJJMrcOB4H0fPDPLTN47zxK5Ontq9jvqq8KLLBCqKsvKpIFpRlpE1zdUYukbRssnmi/QPT7F+dR3pbIG+4UkcpxRWVkZ81FWvoPzZ6xBCEA35+NBD63l4+2reOXKRtw6e550jF5m6IoXlkngqx74jFzl2boindq/jCx/bSUNNeAlGfmMkc03l3tnp3dFYkr/+/j5+/ubJOWs7CwGhgJeaigDhgBe/11UqC+cycJsGuq6x/1jPjLbtK5nbZbCps4Gu1XWcuTjKq++e5Z3DFzjff7kiziWFos3ZnjG6+8Z592gPX/yV+9m5sWXFXxlSFGVxVBCtKMtIY22EcNBDNl+aETzTM8pTu9eRSOfKiwo1TdDSUIHPs/SLCh1HYt+icnRCiFLg5vfw5ANreXBLG/3Dk7x3rJc3D3bTMxgjnppZeiyVyfOjXx5haDTO73/5CRprI8t+RloI5qxqkc0X70iaxKUZ6L/8zlv84u3TM9JnTEOnrbGSnRua2b6hidrKED6Pics0MA0dXdfQNYGuaViOw39O5e6aIPrScWMaOhvW1NPRUs2nntzM0bOD7DlwnuNnBxmfSs8ov+g4kkMn++kfmeK3P/8oH9y1Fl0F0opyz1BBtKIsI0G/m9ZVlQyPJwE41ztWCnqSOQZGS3WjDV2nc5k0WbFsh/xt6FAnhCDgc7OuvY5102kbh04N8Mq+0+w7fGFGMG07kneP9fC3z+/jd7/wOKHA8m6TLITA5zZxmfqMtI7JRHbWjOft4EjJWwe7ZwXQpWopm/jcR3ZQXRG47vHlFCRLfwTePi7ToKEmQkNNhA8+sJazPWO8dfA8L+87Tf/wJPb0VSFJqWThN7/3No21Ubral8d3U1GU20+dMivKMuLzuGhrvNxAZTSWZCKeoW9okly+FKy6TZ01N9lk5Vb9xOcLRVLp/PUfeJOCfg8Pb2/n93/jCf7P3/kYD26Z2RbbcSRv7O/m+Lmh2z6WWyHgcxO4alHk0Gj8jnT7y+aK/OLtUzMCaF0TfPwDm/jSJ+6npjK4oCDQcZwV01jlZhm6zrq2Wr70ifv5v3/343z+YzuJhmaerPWPTPHTPcfJ3QMdNxVFKVFBtKIsI26XQduqinKAmEzn6Rmc4EzP5SYrtVUham6iyYoQYtYiKMu2F51KcCktYK6c5dtBCEEo4OH+TS38p689xQd2dcx4H5lsgbcPX7wjY7lZFRE/lRH/jNvGJlPlqw2308DoFD2DkzNuq68O85FH1hNdRLfEQtEmPb3Q9V4ghMBlGqxuquLrz+3ma7/6ULlyDpRO5PYf6yV2VXUPRVHuXiqIVpRlRAjBqpoIoUDpxzmVyXNxIEZ331j5Me1NVTeVD23oGm7XzEyuVKaw6M5sjpSc7xtfkhbdVdEAv/r0NqqjgRnj6RmMrYgOh1URP/XVMxdCxlM5Dp7oKy8evV1GJ5LkCjOrcNRXh2ioiSxqO4l0juHxxK0c2ophGDqP7+xg1+aWGbcPjcVJZW//lRlFUZYHFUQryjLTVBctzwjmCxYHT/SVFxUKAWuaqvB5b7zJisvU8V8VhMfiaSYTi5tRzhcs3j3ac8PjuBlCCNoaK4kEZ15Sz+aLK6JNs8dtsnVd46yW06+/d46RicRtPREoFO1ZgbrXbS6qcc+lE6j+4ds/c75cBf1uOlpqZtxWKNpzli9UFOXupIJoRVlmKsI+aiouz7C+e7SHsVgKKOVMN9VH0W+i/bDP46K6YmY6SCZX5MjpgQUHb1JKjpwe4PSFkRsex83KZIuzcnLdLmPFtGbeubF5xucMcPLCML/Ye+q2BmIetznr+CkFfwvP5U2mc7z41sl7Jid6LpbtzOo6aRr6jFx9RVHubivj10ZR7iG6rtHRUlPO983kCuWUiWjIR3Nd9KZW/1/K6/RckdKRyxd5ed9pBsfi1w2k5f/P3n3HyVmdhx7/nbfOzM7sbO8radV7B0mAJEBYdAy4YeO495vE9yZx+k1zYuc6iXOdXCdxjQs2Nt2A6SBAQgKhLtT79l6mz7zl3D9mNdpFbSVLGMT58uGz0uzbZ1b7vOd9zvMMp0385NGN9A2df/5nW9cgsUTmvNJBHNdj486jdA/fXEC+WU1Tffk7poNcQ00Jq6+cMaokmuv6/OLJzTzywo58s5lzGJGWUpLNuWcNhqvKwgTs0ek8Hb0x2roHx/Tex5MZHnh6K6/uODrmY3s7Goil6O5PFDozngspJe3dQ2x6Y/STmLqqKJF3aBdNRVHOnQqiFeVtaPK4ylOONpdFf/MmK0LAvOn1J01s23Ook58/vom27tMH0jnHY9fBDr5979rhkevzP44fPLSBf/ju0zzx8i72Hekiljh70CilJJXOsXbzIe59cvOokUDbMlg0s/H8D+gtZpsG1y2dxvSm6lHVUgZiaX7w4Hq+/+AG9h7pIn2GyXtSSjJZh2Pt/WzYfoSfPrbxrJMrayuj1FSM/gy1dQ3y3IZ9xFOnz+f1fUl3f5x7n9jML57c8o7vbrhldwt/9e+Pc89jr7NldwtdffEx3dC5nsfh1j5+8quNHGzuLbwuhGDu1LpzmpypKMo7m6oTrShvQxPqywiHrFF5ymJ4pPVCNFmZ2FDBFQsm8uAz2wq1iR3X49E1O9l/rJurFk5ixsRqyqL5QDuezNDaOci2fW1s3tVMd38cKaGmopigbXKk7dwbbvQPpQqdCavKwzRUl9LUUEZjTSn11SUUFwUIBkwEgkzOoX8oxeGWXnYd7GDbvjaGRlQF0YTgivlNzJ1WP6Z9SykZiKVIpR1S2RzpjEMqkyOVPvHn/qEUbV1Do9aLJTPc9/QWKkrDBG2TUNDKfw1YBAP5r7ZlUBYtwjLP/FhfCMG42lI+dcdSvnXPi4W8d8hXZbn/6a28vOkgU8ZXMnlcJTUVxYSDFpJ87vdQPE1Hb4yu3hjt3UN09sXxPZ/PvP/KM+43aJusWjKNnfvbC0Gj6/nc//RWuvri3Lh8JuNqSjFNHSnBdT26+uNs3d3Kuq2H2HekG8f1CIdsJjaUs/9o9zmXdfN8n1g8QzKTJZV2SGdypDIO6Wwu/55kcgzEUrR1jc65HoqneeS57fnPXWD0dT/+NWCblESCJ02efbNMzmX3oU6272sjGg7QUFPKuNpSJtSVUV9dQkVpmFDAwjQ0HNcnlkjT3hNj14F2duxv51hH/6jc8rrKYm5aMYtg4PznKyiK8s6igmhFeRsqLgrQUF06KojWNcGUCVVnWGvsLFPntmvmsG1vKweOnaj84Xo+bxzo4MCxHgK2WWhj7Hl+oRX58cChOBzg7lsW09ETo7lz4Lw7F3q+T0dPjI6eGFv3tGCaOpaho2laIaVFSonr+eRyLlnHPWkEfGpTFXffchnRyNgarWQdl3/50Qvs3N+O5/tIKfH94f+H/+z58qSc3+PB7fFj04bLBY78ahg6X/9ftzG9qfqsxyGEYPHscXz+g1fyn79YR+uIoFFKSWdvjM7eGK/tOIph6OiaAJmf2Of5Po7jj5pIGThL4Aj5jpfL5jfxwsb9bNvTWriJSqZzPLN+Lxu2HaGkOEg0HMTzfRLJLEOJDKlMjuxwsGxbBjevmMVViybx9//1FJm++Jiu+3GxRIb/+9M1bN3TOvr6j3gfTnX9hxIZHn5++xmvf0lxiD/4+LUsmNEw5uMZSmQYOtjB7kOdWMOfP8PQ0ISGECBl/nPquB6ZrFNotHJcUdDi/dcvYNbkWtVoRVHeRVQQrShvQ+GQzaTGCnYeaC+8Zpk6U8dXXpDtCyGY2FDO731kJd97YD27D3WMCgyyObcQMJ1KTUUxd9+ymJtXzOaFjfsJ2uZJk6zOJmAbhQDlONfzcT2fNGNLFSgKWsyfXs8nbl/K9Ik1jDV+kb6kdzBJz0Di7Au/SX7S35kn1OXOYWTWMg1WXjaFkkiIe5/YxJY9raTSo1M4xlr1QWgCQz/zRRBCUFtZzBc/dBX/ce9adhxoL9wAeZ7PYDx9xtrf5SVF3LlqHu9bPR9N06ivLqHrHINo/yJe/5zrnVTC71QsQ8c09VGB+vG88jN99kfSdY3xtaV84PoFXH/lTAxdTSpUlHcTFUQryttQwDYZV1eKrolCcFtTUUzZm/KYfxOaprFwZiN/9MlV3Pf0Fl7feWzURL1TCQUs5k6t4/br5rFs3gRMQ6expoRg4NyD6NuvnUvAMtlzuJO27qFzGskOhywmNVZyzZKpXLd0GqXFoTEH0G9HuqYxf3oD4+pKWfPaAV7efJB9h7vOmKM8kqFr1FQUM296PbMm1551eSEEMybV8IefXMW9T2zite1H6T1Lk5CAZTBjUg3vvXYuKxdPxrYMHNdjxsRqtuxuGdNxvp3MmVrHB1YvYPPuZo609pFMj71xjK5rjKspZf6MBm67Zg4TGyrOmr6jKMqlR8h3QmcCRblE9A8lOdrWXxj9qigpYnx9eSFtYqSegQTH2voLj+uLwwEmNVZgmSff+2ayDgeaewojmLZlMHV8FaHg2PKnU5kcx9r72X2ok/1Hu2nvzjeNcBwPyzSoKg8zsaGCedPqmTq+ipLiYOGxdTrjsP9oVyEvNhyymTK+8pTHOZKUkkzOpbMnNtxFr5+WzkH6BpPEEmnSWQfX9dE0kc87DlnUVUYZX1vGlPGVjKsroywaOq9yf57vs+9IN/Fk5pzXPRshYMbEmlHd7M6F70sG4ymOtQ9w4Fg3h1p66eyNEUtkyDkumpZvlhMO2VSVR6irLGbyuEpqK6PUV0WxLeOcUgqSqSxH2vrYvq+N/ce66eyNk0pnkRKCAZOqsgjj68qYPaWWqeOrKIsWjUqz6eqLc6y9H8g/LZneVE3wLHn7OcfjUEsPscSFv/6GoTOpseKkGuKn4nk+vYNJ2ruHhj9/A3T2xhiKp0mmc+QcF0l+EmgoaFEWDTGhroymhnImNebz1M+We60oyqVLBdGKogAU8lIdz8P3JFJKJCDIj1rruoZp5APWsQZpUrrkcpvx3COY5mwMcwZCnDxiJ6XE83w8X+L7Pr6Uo9I8hMjvU9c0dD3/9VLPPZUynxfsed7wdTlxQY5fD03LX4vjN2Hne02OX393+D04/mtBiPx7b2gaxjm+9+8kspAHP3z+w/nZI2lCDKfLaOgj8vUVRXn3UkG0oigXjZPbycDA/8R1D2JZCykt/Xd0Y+wTvt5pnKxDZ3MfruOByD/2D4YDlJSHMc+hI+Bvi+/5ZDMOdtA6Y5C4c8MB1j66hTu+sIra8RXntI9kLE1vxyChsE15TQmariGlpL9ziNhAkvKaKJHSoosSrK956HUO7Wzm/f9jNSUVkbOvcJ6klKTiGXra+impLL6o+1IU5bdHPYdSlLeAlD6Os5Nc9hUANK2MQPAWNC18ljXf2TyvA887Bji4XjOe13lJB9Fdrf38ze/8B/GBJIZlIDRBdWM5K25bxPUfuYJg+PxSPN4qvR0DvPLrbVx/95WEznCs3a397N18mMTgMhh/bvvYuWE///6Ve5l5+UR+9xsfIVoWxnU87vnnx1nz4EY+/9UPcP1HrkScZYLk+Wg50Mn+rcfIpsae/3y+dm88xP/54g+5+w9v5o4vrLro+1MU5a2ngmhFeUtkSSZ+QDr9AACaVoFujMe2l/2Wjysv/zj/GLncFkxzFqY57YJsV9Or0PU6XPcohj4OTT/7pLd3MikluazLDR+9ipW3LyaTyrLu8a08+B/PEi0Ps+L2xaM6FL6dSCk5srudDU/tYNUHlpxx2SWr5zB1/niqx5Wf8358T6LpGh1He0kOpYiWhYn1JWg/0kMoHMRzz69U4ljc+smVrPrAEsprSy7aPo4Lhm081yMYeXvfOCmKcv5UEK0obwHP6ySX21L4u+/HyGZexrKWvk1yTHOkUw+RSPwnkcgfXLAg2jRnURz9G1znAJa9FF2vuSDbfburqC1h0pxGpJQ0TKpm54YD7Np4iCWr5xIM20iZHxXdvfEQsYEE5dVRFlw9g7KqKEII9m05Sn/3EMWlRRzY3szcK6cSCgd47ZkdlFZFufw9cwiELFzH5eiedvZvO0asP4EdtJg4q4EZiydi2ga+L9m+bh/ZdI5JsxvZtnYvA90xyqqjLLx6BmXVUaQvaTvczRuvHmDjc2/QdqiLB779LPbwpNRrP7CEmnHlCCE4sP0Ym9fswXVdwsUhlt+2iPKa6Khzl1KSSWXZu/koR3a34WQdIqVFTJk3jqZZ+acQdsBENzQGumPUTqhkqC9OYihFRV3JqO3E+pNsW7uXrpY+gkU2My+fxIQZ9WiaINaf4Ln7XmPOsilMnX9iOFz6ko3P7WSoL8GK9y4iELLZ9PwuDmw/huf5lNeUsPy2hYSjozsL+r6k5UAnO9fvJxlLU1lfytwrp1JeU4IQIj9HQEpaDnSxZ9NhhvoS2EGTxsk1TF0wgUjJ6O1ZAYtgOHDS64qiXDpUEK0oF5mUkmx2Pb7fQ36angVkyeVex/f70fVzH8270KRMkcttAnzy0wkvDCFMAoFrIXDtBdvmO4kQAqHnJ6EZpo7Q8nnHrz+/i/v+7WlM2yBSEmJTb4J1j2/l7j+6hclzG9m39SjP3rue8TPqad7XzoantlNRW8JQb4LOll6sgMGS98yleX8nP/3GY2RSOYoiARKxNL/+0cu870vXsfrDV+D7kq0v72XT87tonFJDLpNDSug41sPGZ3fyua9+gNLKYnraB2je38lgdxzX8RjoiWEN53C7I2oma7qG53nsef0wXS39zFoyeVQQLaVkoDvGPf/0OPu3HaO0shgrYBLrTzDUn2DCjHxHyWA4QFV9GUf3tDPz8kn0dgwSjobyueTDmvd3cs8/PU5v+wBl1VEyySzP3/cat332Glbctih/bi/toXlfO5P/5aNowyP8Az0xfvX9NVQ3lhdG1DVd4ORcNq/ZjdAEC1fOGBVEe67Hq0/v4JHvvoBpGdghiw1Pb+fFhzfx6b+6k3FTa5Ayf0Pyk398jECRTbg4SDKWZtMLu/jQ79/AnGVTRr3v4WiQWZdPorK+9CJ8shRFeTtQQbSiXGRSJsll1yNlHCFKsax5ZLMv4rr7cN39aNpvfzTa8zpw3f2/1WO4lLiuRyaVJTGY4qVfbSIZzzB76WTsgEV3Wz+/+L9PMmXeeO7+o5uJlofp6xjkW3/4Mx749jP87jc+DEAynuGOz19LMpbmbz/2n8xeOpkvff0u/vn3fsTB7S0sXDmThknVfOxPb6OuqYpAyGKoL8H3/+ZBnr9/I1ffeTnGcO3iruZeVn1wCbd+ciWGZbD2V5v5zv++n72bj7D81oUsXDmD2Usn8/B/Pcfax7fy2b95H8VlJ+frT5rdyKTZjTx331SPa2wAACAASURBVKs8/F/Pn/R9J+fywgOvsW3tPj79V3ewZPUcDNMgGUvhZF3M4XJwgZBF3cQqjuxtw/N8juxpY9zUWtoOdxe28+j319DT1s+Xv/lRxk+rI5vK8vB3nueh/3iOCdPrmDC9jsWrZvHMvevpbO6jrqkSKSXH9nXQdqib9372WnQjf/4Lr57JwqtnIiXsWH/y57y7tZ+f/fOvufw9c7jrf96AHbQ4tredb375Jzz1s3V87E9uRdM0tq3dh2Hq/OG3PkZ5bQme69HdOkBpVfFJ26xrquIvfvC58/wEKYryTqCCaEW5iPK5xu3kclsBMK3Z2IGryWbX4vv95HKbsayFgH0e287h+334fj9SZpDSRaAjRBChRdC0ivyfzxKgSynJ5bbi++fWde6tlH+UnsDzOpEyAdIBYaFpJeh6DULY5Ef5z3W7Dp7Xhe/3IWUWgYbQQmhaFZpWespyfGPYKr/63hpeengT6WQWw9S59VMrWXztLDRd49COFuKDKZbdOI9oeRghBBV1pSy9YS4P/L9n6WkdAKCoOEj9xGq6WnopLgszaXYjhqlTVhUllUjjeX4+GJ1QSW/7AKlEhlzGIVhkEx9M4rleIYgurylh+a0LCykaE2bUU1yWD94vpHQiy+YX9zD3yqnMXz4dY7hWeFHx6JQGoQkaJ1ez/ontZJJZ2g52MXneeHra8vWm+zoHObyrldlLpzB+Wm2+Vng4wLIb57Pu8a3sWL+fibMaWLB8Os/cu56d6/dTM74cz/HZ9vJeqhrLmDRr7BNYj+5pp+NoDxV1pRzY3gxALutQUhlh/5ZjpBJZomVh6poqWfvoFtY8+DqXvWc21Y3l1E6o+K3fBCuK8tuhgmhFuagkjrNzuEKFwLaWYFmXoev1eF4z2cyLhEIfQtfH2s5bImUOx9lFOvUIjrMT1z2KlDGkzAHGcGBZjWFMIRC8nkBgNUKcaH4hpY/v9+O5R3HdQ7jeEbKZ55EyCQgymafwvNZT7t22lxMIXI8QJ0+Ok9Ijl9tIOv3YKdfVtSrCkS8gxNgnWuWD5yTZzAukM0/iODvxvR6kzCBEEN1owDIXEgq9H9NagBAGpw6mJcnkz3GcXZjGFIKhD+H7PaRS95PNvIDrHskH5xhoWhmmOY1A8EaCwdsRInyOQZJgzrIpzFs+jZce2YyTdbjixvkEQvkbpd7OQeyASXHZ6DJu1Y3lxAYSpBL5ltu6oWEF8o1TdEMnUJRfX2giXzNaSo7sbuPxH71My/4OAiELyzbpONZbyN89zg5ZlNecyDfWDQ3D0vHcs7cSPxeu49LbNsDCFTMK6SCnM35aHS89splje9sZ6k9QP7GSrS/lr0diKE0mlaWyvhRtRDOd0qpidEOnt30AKSWNU2qYMKOezS/uZtmN88hmHLau3cuK2xYSPYeycl2t/biOl0/nsEf/WqxvqkQT+XScK25aQDqR5cWHX2fNQxuZOn88135gCTMvm1i4YVAU5d1D/dQrykXlks28CEiEKMG05mIYEzHMaXheM657ENfdP6YgOh8YxUklf0Yy+TM8rxlw37SUh+934ftdOM4edKOBQOCGUUv4fjdDg39JLrcVKZNImRq1HSe3CSe36ZTHoIkggcD1pzlCH8fZSyr5o1N+1zCmUBT+9DkF0b7fSSLxfdKp+/D9fkACJkJYSJnCdXbjOnvJ5tYTCX+RQPAONO1UE7kk2cwLZDJPYhjTMMwZJBL/QTazDsgANkIEkDKD73eQzXaQy23Fc1sJR76EENFTbPP0ps4fz3UfXEpFbSnf+oN7WPfYFm7/3LVouoYdsPA9f1T+L0A2ncMwdHQ9P3p8tsA9k87x8Hee5+iedj79V3dQP6kaTRM8+dN1vPzo5lHLHm/McrEJITBtg2wmx9laEFQ2lGFaBlte3IOma9SMO1Fv2jB1dEMn96ZW3E7WQUpZCNCFJlh6/Vy+/zcP0tXSR/uRHnzXY9aSyYVR+LGwAyaBIpsv/sMHaZhcPep7hqlTXFYEQKQkxM0fX86yG+axY8N+1j22he//zYN88i9uZ8HKGWPen6IolwYVRCvKReS5LYVUDsMYh2nORtOKsa3LyGXX4fuDZDMvYlnLTjm6O1qGZOL7JBLfRso0YGEY07Dtq9CNCWgihC9TeO4RHGcHvp/Atq8ZHp0dyUA3xmFyopSY6+zG81oAgWFMQTeaTnkExhmrdujY9uVEiv8M6cfw/SE8r41c7rXhQH3sjt8wxOP/Rip5L+Cg6/UEgjdimnMRIoj0Y2RzG8lknsFzDxOLfQ2JRyh09xnTMDyvhdjQX+E4+zCMCQSCN2EY0xDCxvd7yWaeJ5N5ESmHSCZ/gmFOJRi885wf2QshmLG4iaU3zOW5+19l/vJpNM1qoGlmPa7rcWxveyFFw3N99mw6TPX4CqKVYxtBTQymaD/Sw8TZDcy9chpCQKw/QXdr/zkd58jj1Q0DJ+viOOc3Qn28Osju1w8x2Bunsr4UIUS+C6Un0Y0Tn3HTNKhqLGPDU9uZNKeRksoTecXlNSWU10Q59EYrqXgmX9HEl8PVPlyaZtYX3o9p8ydQUlnMa8/sZKA7Rs34CibOajin92vC9Do0TdDbPsD85dMKkxSPj9Qfbwjj5Fx0Q6eqsYzrGpcye+lkvvqJ77Bt3T7mr5iu0joU5V1GBdGKcpHkc4034vvdgIZhzkTTqgCBZS1BiChSdg7nI/edcTRaSkk28zLJ5M+QMo0QIUKhuwgVfRRdbxwe3dUAHynTSBnH87pPWapO00qJRL6MlCdGn+Oxr5FK/RKERSB4M0VFnzzlcQgR5HS5x0IIDGMG4fAUpPQAF8fZyeDAQTzv3IJo8Mhm1pBOPQLkMIzpFBf/GZZ9BUKEhkuO+QSCN2Bby4jFvo7vd5JM/ADTXIBpzj5tQCNlCsfZhWUtozj6Z5jmLPIj0QIpPWz7ahBfI5N+HCljZNJPEgzewvnkrdtBi/d8aBk71u/nmXs38LE/vZXGKdUsWT2Xp362HqFpVDeW0byvgy0v7uHqOy+jsm5s1RxCkQBl1cU07+tg85pdBItsdryyn/3bjp1XLWrd0KgZV04qnuaF+19j+qImPNdj0pxGIiVFuI5HX+cgmWSW7tZ+spkcbYe6sAIm4WiQkspigkU2K29fzHf/+gF+9i+/5qpbFmAHLAZ6YmiaYMnquYX9CU0wYUY9T/5kHVfduhAxYqQ8HA2y4r2LefA/n+WR773AzMsmEhtI8tRP1zFhRh1zrphaWLasupg5Syez/oltWEGL1XctK+R+A+QyDn2dg2TTOQZ6YmSSWZoPdJLN5CguCxMtD9M4tYYVty3i8R+9jNAENeMqyGUdWg920TilhvnLp5PLOqx5cCOGqRfSTA7vasXJudROGGs6lqIolxIVRCvKRSJlgmx2XT7XVgQJ2CsLo82GMRnTnEE224nj7h6u0nH6CUrSHyCV+gW+3wHoBIK3ESn+YzTtzVUBdIQIA2H00zQ2EUI/KT0hH4SL/H8idJ5l98Tw8VscPw0hIuSD+3Pj+wOkUvci5RBChAiHv4gdGD2qLoSGECUEQ3fgec3E49/EdQ+RTj2AUTwRIYpOu31NqyAS+TKmuWDUEwAhdAyjkaKij5HLvorvd+G6R/C8DgxjwlmPW9d1yqqKT+QvC8H46XXc+NGrePrn6zm4o4U5V0zhA7+7mqfueYVn711POpklHA1x66dWsuK9izAtg2DIIlqer46hGzqllREsO58fHS4Oops6RcVB3vfF9/DYD1/knn96HDtgMX1RE3d8fhUbn92JpgmEgKJI4KS207qhUVIRKRxn/ppozLtqGqvvuoK1j27mpYc3ES4J8YV/+CCRkiJiAwnu+7enaTvcTXwgiZvzePi7LxAK28xaMpk7Pr+KouIg81dM5zN//T5efGgjP/nHR5GS4eD6MoQQWAGTaFkYTRNMnFlPzfhypi2YgBCCSFkRgVD+huaqWxdgB0ye+cUG1j+xDdM2mHX5JG7++IrCtQEwbZPLV89hxyv7sSyDeVeNvnHsaunj5998gv6uIQZ74+QyDvd+8wkCIYsrbprPjb+znHA0xEf+6GbWPLCR5+97lWQ8g65rVDWUMWXeeIQGmibwPZ+n73uNZDyNrmsURUPc+qmrueqWBWoUWlHehYQ8W+KaoijnxXEO0N/3O3heM7oxgbKyn2CakwGQMksi8T3isa8BECn+U8Lhzw9XmRhNyvzkxL7eu5ByEE2roaz8u1jW4gt2rEODf0Ey+ROEsAhH/pBI5EsXZLu53E4G+j+H5x3DMKZQUfk4mnb2dIVs5iUGBr6M73djmvMpLfsOun7qR/RSSlznDfr6Porv92AYkykr/zHGqJQUn/6+z5LJPAmAbV9Hadm/oWmn7lznef309d45nK/eSGnZd7GseWc9btfxGOyNEYoEC22zpZRk0zniA0nCJUUEi+z8U4qMQzKWzlfRsAzC0VC+lrQQpBIZMqkspZXFeK7PUF+cSEkRpm2QGEyBOF7xQpKM5ZcVQlAUCaAbOsl4ulD5IxlLk8s4lFYVF66f63jE+hMEQhahSHDUtcykcqTi+eofhpHPBzZMA8/1GOyN441I9ZAMVz4PWhSXFp1Ig/B8UvE02VQ+N9owdYLhIHbQJJdxSMUzRCsieK7HUG+c4rIwhmUQ609gBUyCw8G97/kkhlLkMg6arhGKBAmErJM+B07OZagvgaYJouXhQmk7yOdRD/Ul8D2/UAH9+NrBcIBwyfEnG/l0jeRQGtdxEZqGFTAJRQKFkf1sxiEVTxfy2U3ToCgaxLQMFUQryruQGolWlIvEcbYO5xmDbS1F16tGfNfCshahaeX4fh/ZzBpCoQ+fNqXDdfYiZb4cmWUtQtcnXuzD/63KOTvwZYx8GsxUdL3utEGKEAJNr8U0Z5HNvojnteO6h98URI9kYlozzzhZMF8aMD+SLaUDMjum4zZMnYra0ekYQggCIbtQneP4a3bQGpV2MFIoHCgE4Yapj6qsESkdOcIuiJSETtEt70RljHA0BG86VcPUKas++fyFEASL7EIQO5JujD6OM9F1jUhJEZGSk58GjDxvzTKoGJG+cvKIuU60/Ow3XaZlUHGaVt6mbY7ax+kIIbBsE6vq9FVFAkGLwGneM0VR3n3O/TmroihnJaVPNvMS+bE6G9NaNJxmkZfPH56IbuSDYdc9guvsOd3WcN0jhb8Z5qTTVKC4VEg8t2U4cDWHR6DPXGlB006kr0jp4rqHT7usEDa6VjOGkcPj/zzKC9rFUVEURbk0qJFoRbkIPO8Yudz24b/5pJI/JZN+8k1L+XjDwbHvD5DJvoRlX3nKgNGXA4U/a1o5+dbhlyYpXaSMky8LqKNpYykvZyEKaSI+vj9whmU1hHb6fGlFURRFGQsVRCvKBZavyvE6vt81/IqD4+w4y1oOTm4rvt+Lrlef/G05sl7u6RqKXCp8ZKH8nkAwlnq/AkYuJ52xL6soiqIo50EF0YpygUkZH67Kke8AmM/nPXWDkXz3wD6kjOE4u3HdA2ha1UmpBkKERqyTBnwu3UDQHHG9fHyZHsM6LsjM8J/FqNSZU7mUb0EURVGUt4YKohXlAvO9bnLZjUA+9aKk9FsYxuRTLitllmTyv0km/gspY+SyG7Gsy3lzukY+heP49ruQMjsqsL6U5LvrVQAGUjrDdbbPLN9p8HiTEe1NkzgVRVEU5cJTEwsV5QLL5Tbhee0AWNYSTHMGul51mv8bsO2rCpUistmX8P34m7YoMM2ZHB8/dZwdSH/wLTyjt5rANGcNV8dwcZ0j+H7iDMtLfH8Q1z2UX1sEztJZUVEURVF+cyqIVpQLSEqPbPZFwAMsLHvZWUqpCUxzeqGRh+sexXF2nrScYUxE1xsAcJxd5JzNF/bAhQnka+WOzr/+7bDMeYXccNfdg+se5HQl7aUE192H4+wHwDRnoet1b9mxKoqiKO9OKohWlAvIdY+Qc3YBEl2vxraXjuqIdyqaVo1pzQcMfH+AXHbtqJbcQgh0o5FA8AbyKQ5JEvH/IpfbPmq5N8tXucic9vujj6FiuBtgbjhgHdt6F4tu1BEI3gzoeF4HqeS9+H7vSctJKfH9LpKJ/wZyCBEgGLx1OB1EURRFUS4elROtKBeIlD5ObnMhlcMwp2EYU8+6nhA6Aftq0qmHkTJGNvc6RX73cN3j41PgbEKhj5DLbsRxtuM4Wxkc/CNCoQ9i2yvQ9XqEsJAyh+914rqHyTnbMIyJhELvP+sxmOYchAgjZS/Z7FrSqUcIBG9CiOPd7CRSZslP2is6aeKjlBIpU0gZx/eTw39ODjeJSQ8vkySbXYemlaOJEEKEEFoIISJoJ5WcCxAKfZBs9mWc3BbS6QcAl6KiT2KYkwEdpEvO2UEy8R2y2XWAwLKuJBC8hUt30qWiKIrydqGCaEW5QKRMkM29CsNBo21fMzy6e3aGORPDGI/j7MR19uC6h9G0Wo7HqvnmLJOJFH+F2NBXcd0DuM4u4rH/Q1L7wXBgawyPPqeQMoHvxygKf3pM+zfNOdj2ctLpX+H7PcRif08y+VN0vRKJj/Rj+H6covCnCYXu4uT6Fi6J+DfJZJ4dHh1388dCFukPAeB5XQwN/gn56hs6YCCESSBwPcXRPx+1NSEEut5IceSPiMW+juPsJJW6n2x2Xb7aiRbG94bwvLbhUoICy1pMpPh/oevlKIqiKMrFpoJoRblAfL8XJ7cdIUJoWhm2vXTM62paOXZg5fDkOEkuuwnLWsrIH1EhdGz7akpKy0kmf0w28wy+H8fzWqFQVxnyWVo6mlY85txgTSslEvkDpEyTza7F94fw/a04DuQD5nxtZXnSpMfjJL7fXxiFH2lkeT8pU8NfC9/F9/tOuUUhNCz7KkpK/olE4ttkMvmW3vnzlYVjEqKYYPAmwuEvoBuTTnuOQgQKo99n+6dPiOOtv4dHzFXm25i4no/jelimjq5pI173cFwf29TRtHfmtXRcD8f1MA0dQ9cQIj+HIOd4eL6PbRpomhhDJ8xz4/k+r2w7guN4XLVgIrZ18X5tSylxPR/X9THN/HkqinJ6Qp5uto6iKOdEygyu2wL4CHG8XfXYOgvmc3v7C3m/mhZF06pP+Qs5nzoRw3H24eS24Lh78x36ZBYhAmh6DYYxEctciGFORtNKzuEYusnlNpHNrsf32oZL6QXR9EoMvQk7sArDmHzKdA7f7zhFZZGzywf7tWc5rj5c5w2y2XW47jGkTCG0YkxjCpa9DNOccZbzlHhuO75MkC+BV42mFZ9hnz6e14KUGQQGml57ibdavzA27DjKL5/ewufuvIKZk2oKr7+46QD3PbONr3z8Wprq35lPCh5es4NHXtjBDVfO4H2r5mGZBo7j8fX/fpY9h7v4s0+/hzmTay94EJ1zXL72w2fJ5Tz++BOrKIkEz77SefI8n6fW7+GRNTv59O1LWTp3wkXbl6JcCtRItKJcIEIEMM0p57muQNfLx5SKIIRAiCi2fTm2ffk570tKiev7ZB0Xz5cIAbqmYRk6hlZFMHgzweDNQH4UTALGWUYP88dfh36BUpGzjssTO/YhpeSmedMImBXo+tXYgavPc4sC3agfc6a0EBqGMf489/XulUxnaekcJJ0b3TEynsrS3NlP1jn9RNi3u6F4mo7eGDv2t3PL8llYpkFXf5z9x3ro6o+TzpypS+b5M3Sd9183H9+XFAXHdlN+vjRN4Lo+bd1DqiORooyBCqIV5V1ESkl/Ms2vt+3llQNH6Y4lsQydupJiVkxv4uZ507GME6HmG61dpHMOSyePe0uP0/E8XjvUgpSS62ZNIWC+pbtXLjIpJYlUlubOQRKpLKGAybjaUoqLAoWR3Kzjsu9oN+NqShBCcKy9n0zOJRoOMKGuDNsykVKy50gXZdEQxaEAR9r7SKZzhIIWE2rLCIdsIJ9m0tE7RHdfAl9KqkrD1FdFMUZ81tu6B4mnskxurKS1a5Ce/ji6rtFQU0JFNN8BMxoOMpTIkMrkiBQF6Ogdwvd9KkvDo84tnsrS0jlAIpU76dwG42kOt/bSVF9OaXFo1Hp7jnRhGjoT68vRNMG+o930x/IpUBUlb558m+f7Pj0DCdq6h3A9n7JoiMbq0lFpH74v6RlI0NE7RM7xsC2D8mgR1eURTGPkraUgGDAJ2kbh2imKcnoqiFaUdxFPSn68djPPvHGAG+dO5aZ5ZaRzDoe6++gaSjDySbSUkse27qE4aL/lQfRIakDs0tPSOcgPf/Uqh1p60XUN1/OZWF/OR29ezJRxlQghGIqn+cf/fo7bVs6muWOAA809pDI5KkrD/OVnVlNpmUjg2/etZc6kWiSwdW8r6YyDaer8ySeuY9qEKnKOyxPrdvPkK3tIDY8WByyD65ZO47aVswlYBkIInnttPxt2HOHWlbN5Zv1eYokMqYzDR29ezI1XzURKKIuGMA2N5s5BKksjtHYOUV5SRN9gsnBuzR0D/PBXr3G49cS5TWqo4O6bFzGlsZLu/jjfvOdFblk+iw9dv6Bw09Ddn+CffvwCS+aMp+mOpUgp2Lqvja17W9h9uIt5U+v444+vIjoincPzfdZuOczDL2ynbygfbOua4Mr5E7nr+oVEimykhA07jvDLp7cylEiDEORyLuPryvgfH7yKxprSwvaEyN8o1FZGiYYvXtqIolwqVBCtKO8iWcdlw8Fmrps1mU+vvJwi28SXkozjIgFT13E8j2O9g7T2D7GtuZ360ijP7zoIQDhgs7ipHl3TkFLSE0/S3DdIIpPD0DWqisM0VZRiGjq+lLT1DzGQSjO+vJQjPf0MpjIU2RaTq8spCZ0YdfR8n6O9A7QNxLB0nZqSyG/xKim/Ccfz2L6vjUQyW3ht39FufD8//cZxPX7+5GaaOwf4vQ+vYEJdGd39Cb738AZ++utN/PHHryVSlJ+M6nk+z722n1uWz+KjNy1GaNA/lB6VF+z7kjWbDnLriln81eduwNA1egeTNFSXIKVk16FO7ntmKysWTuaWFbPQdY01rx/ggee2UV8V5Yp5TYUbtSNt/ew51MVn77yCytIwsWSGcMhG1/JLlESCGLrG0fY+Zk+q4VhnPxPry+kbzAewrufz8yc309o9OOrcvvvQeu759Sa+8rFrGVdTyoS6Mrbua+WWFbMIh2yklLxxqIN01uHy2eMxdB0pJbdfPYf3LJnKv/7sxZOus5SS5o4B7n1yMzMmVvMHH70G2zJYt+0wP3nsdZrqy1m1ZCrJTI6n1+9F1zW++j9uJmAZxJIZegYSo0bCj5s3tY6m+hsoi6ogWlHORgXRivIuogmBZRjEM1lyrkuRbaJrGkX2iVzLVNbhhd2H2NnaSdtAjEQmxwOuB0BDWZSFE+rQga5Ygv/79Csc6OzF0DUczwMEH71iPrfMn44mNF7ad4SHXt/Fggl1HOjsJed6xDIZZtVX84c3Lqe6OIzn+zy1cz/3rN+G43kUWRalRUEGkmlqSyKomc/vLNmcyyMv7iQwIp0gkcrievkKMi1dg2zf38Yd185l8cxGNE2jqizCrStm8b2HNrDvWDeLZ5548jGxvoz3LJ1WyAeurTi5A2hlaZjrr5hRSKuoqchPGs3kHF7deZSAZXLHtXOpLs/fnN145Qy27m3l2Q37WDJ7PNpwSkPAMli1ZCqzJtUghCgsf5xp6NRVFtPcOTic5z3A1Ysms3lPK5Afhd5+oJ0PXDdv1LndsnwWP3jkVfY397BoRiNXzm/ix49u5HBbH3Mm15JM53h15zEaqqJMn1AF5OcZBAMmuq5hm8ZJ+eSeL9m6r42egQRfWHQltp2/3jOaaigvCbF++xGuuWwKuiYIBizaeoboG0wysaGcppJyJjVUcqo5kAHbJGCr/ClFGQsVRCvKu4hl6Fw/Zwo/eWULtmGwes4UplRXEA2dKEMXDlh8eOk8rotP5s/uf4r54+r44qolAOhCK0wyLAkFec+syXxqxWJKi4LE01m+u2YjD7z+BsunNVEayo9kHesbYFptBX99x3UUB23W7D7Evz69jmtmTOLGuVNpG4jx47VbmFRdzpdWLcU2DJ7bdYD/WvMatWpE+h0nFLD4vbuWM2fKifKKz766j589sQmA7v44UkrqqqKjyt01VpeSzbn0DiRHtXhvrCnFMs88JbS+KnrKSXeO69PePURtZTGhEYn1QduksbqELXtbCyPkAOGQTU1F8RkrbDTVV7B2yyE6emNkcy4VJeHCSHZXfxykpLbyTedWkz+3vsH8uc2bUo9tGew80M6Mpmp6BhJs29fKR25YOOrm40xc16O9e4jeoSTf+PHzhZ9LX0piyQz1VSWFc33v1bO554lNfONHz9NUX87KRZNYNKORihG53IqinDsVRCvKu4gmBO+7bDbFQZvHtu3h73/VQm1JhNWzp7JyRhNlRSF0TSMStMm5LoamYZs6JaGTH+3ahs6K6U3EM1myjoepa8yor+S1wy2jRs0iAZv3XTabSVVlAFwxZTz3vrqdoz0DABzo6qO5b5A/uXkl48rzv/ivnzOVJ3fsfwuuiHKhaUIQjQRHTbaLFNknGgcNv/bm6qqnq7ZqjqFW8fG6zW8mAKEJpHvytiWcNBIrhDhrbeRJDeX8eu0utu5tIxoOUho9kRJxfHtvPpU3n1tZNMSyeU2s23aYG6+cyebdLZi6zrypDedcIq+mPMKXPngVkRE3wpC/5vpw3eoZTdX8ySdWsftwF6/uOMqPHt3Iy1sO8XsfXkFN+elLPSqKcmYqiFaUdxEhBEW2xS3zp3PV1Alsa+5gzZ5DfGfNaxzp7edLq5YRMMf2z8JQOsPTOw+w/sAxMo6LAHri+ZE2f0TQYJsGDWUnHsEbmkbQNMl5HlJC11CckG1RHgmNWqcmqkbJLkXHR2nbuobwfL/QlOVY5wCWaVBRenJb+fNlGjrjakpZt/UwyXSukGudyjg0dwwwrqYMTTu3fUWKqAbjBAAAIABJREFUAgQsg027m5kyrpLIiCoWtRVRhCZo6x4cfW4d+XMrL8mfm20ZLJzewMtbDrHrUAeb97Qwc2INtZVnHgUfyTB06quiOK5PVWmEacNpIKcihCAaDrJ0znjmT6tn3tQ6vnXvy+w53EV1WfEp0zoURTk71Y5IUd6FDF2nIlLEqpmT+Itbr+H6OVN5Zf8xmvsGx7S+43nc99pOfrx2M1dMGc+XV1/BH9+8ktsWzjxpWU0IzDMUkNaEgFNkPh9/Rf1+v7TUV0ZZMmc8T63fw4btR2nrHmLr3lYeffENpk2oZNr40weD58oydZbNnYCUkvue3caRtj5aOgd47OU3ONbRz+pl09DPsStfKGDSUF3CwZZexteWFSYdAjRUR7l89niefGUPr+44cW6Pv/wG0ydUMXVcJZAPaqc3VVNTFuGRNTvp7k+wbN4EgiNykXOOx2A8TX8sSSbnks259MdSDMbTZHMuuiZYNKOR6vIIP358I7sPd9LePcSRtj6efXUfxzr6kVISS2R4ZsNedh3qoL1niN7BJP2xFIYmCNhqHE1RfhPqJ0hR3sWEEIRsi6bKUl7ae3hUk4wTlTMkUo5+9J3I5Nje0kFjeQnvWzwLXdNwPH94cuG57B9qSyKksg5dQwmaKvMpH1nXpWsoTn3pyZPIlHc2Xdf40PULyORc/vP+dfkOnMC08VXcfdPiC1qfWAjBtAnV3H3TYn714k7Wbz8MCCIhm7tuWMjCGY3nfJNmmwZN9eXYZr6e80i6pnHX9QvJ5lz+474T5zZ9QjUfuXHRqHOLhGzmTavnnl9voqm+jHkjcsgB9hzp5KHn86XrDrX24vuSb/z4ecqKQ6xeNp2ViybTUF3Cp29fygPPbeOr33saIQS+7xMNB/n9D68E8je8G3YcZeeBdjRNQ4j83Ijrlkxj1qRaNQqtKL8BFUQryrtI+0CMNXsO0VRZRmWkCE0I2gdjPLp1D43lJaPSLopsi5KiILvbutnZ2kk0aGPoGnUlxViGTmkoyP7OHvZ29FIctHmjtYvndh0858fjk6srmFxTwc83bKc4aGMZBs/vPkjbQIz60qiqzvEOsmhGI3/3pRsZN6L2MMAVc5uYUFtWeL26LMLvfmg57T1DJNM5ApZBXVWUSMgu3LyVREL89edvoKKk6LSjxQL4X3dfTdA2Tzv50NA1Vl0+lblT6ugZSCClpCxaRE15ZFSzleuvmM7ls8eftj7yjVfOIJ11sEyDFQsnMWVcJRPryxGa4M8/s5r6qvzPTk15hN+7a8WJc7MN6ipHnxvkA/zbVs5m/tR6wkX2qNxqyE+0vHPVPLzhqibHaZooVB/RNMGimY1Mbqygsy9ONudimTol4SCVZeHh6xjkSx+4it7BBJmci6YJiosC1FQUjxr5VhTl3Al5utkciqJcclr7h/jGr1/ijdYuHM/D1HVs02BeYy0fuWIecxpqCr/opZSs2XOY767ZSF8yRdA0mFVfzd+/fzWaEGw60sp/vvAa3UMJQrZFdXERsxpqePaNA/zr3bdQV1LML17bzs/Wb+OeL3yI8nA+SOgcjPMHP/81l09q5Murr8CXklf2H+MHL79Ox2CcoGUyu6EGkLiez1/edi2RoOqepiiKory9qCBaUS6wbDrHQNcQ6UQGpMQO2ZRUFWOYBr/4xq9IxzN87v/cjRjDiO1j332O7mO9fOgrtxJ+U9vfp370Iq89sZXkUIqaCZV84m8/SFlNyRm35zgu3//Hh9i/r5X3f+U2isvCBCyD6uIwkYB90qQm1/PpHIozkEojyJe1qy/NT37ypaQ7lqAvngIBlZEiimyLjsE4jWVRLEOnN5GiN55kcnV5IS8653oc6x0gHLCpiYYRQuD5Pt2xJH2JJIamU1sSIeu6pHMuDWXFhQlaiqIoivJ2odI5FOUCkVLS29bP4997no1PbqWnpQ+AaGUx13zoCm7+zCraDnaSGEwhkYgxZGO27Gun41AXTtY56Xtzl0+noq6UJ36whuZ97Tg59xRbGE0TAgYzBIccZtRUUFZ95qDb0DUayqKj0jxGbqsmGqEmOrqW8+TqE3milZEiKiOjg3/L0JlSUzHqNV3TqC2JqLrQiqIoyjuGCqIV5QLpbunle3/6cw7vbObau65kwbWz0TTBkTdaCIYDmOcxE/6ur9yGk3UoLj85uKybVEPdpBp2rt3LYM/QhTgFRVEURVHGSAXRinIBSCl54Rfr2f7SHr74L7/D1R+8ojDBbsaSKQDk0rnjS3N0Vys7Xt5NrC9BVWM5l9+4gNLqaCGd4qUHXuXwjmZ8z6NuUjUrP7CMUOTUE57OdEye47Fj3V72vHYAwzSYfeU0/DdNVGo/1MVrT2zhmruu5NjuVvZsPIjneExeMIGF187GtE2klAz1xNj83E7aDnYSCNnMvnIakxc0YQVMXMdl3cOvE4wEqGwoZ/tLu4n3J6gaV8GSG+dTUhW9YLV/FUVRFOXtQAXRinIBpBMZtjy3k+mXTWLRdXPOWDaq7WAX9/z9QwhN4OZcXnrgVXa/eoDPfO3DhRHnQMhGNzQ2PrWNkm1HWXLzwnMOot2cy5pfrufBbz1JeW0JkbIwO17eTWIgSdGI/Oru5l4e+venyKZz7Nt0GCtgkhxKkcs6LLh2NgDtBzv58d8+QF/HAKXVUdLxDC/ev4GbP7uKGz5xNZ7rs+HxzbQd7KSyoRxN13CzTuHcPvu1DxMpU81TFEVRlEuHCqIV5QLo6xhgqDfO9BsnUVwWOeOoa3IoyZXvXcyK9y8FJE/98EXu/9fHObyjmfnXzAJgyU0LWHLTAmJ9cdoOdp3XMfW09vPgt55gzlUz+NRXP0QgbLN/02G+/vFvjwqiAeIDCQ7vOMYX/vl3qGoox3VcMskslm3i+5LHvvMcfR0D/P7/+xTjpteTSWb5yd89wOPffZ65y2dQNa4C3/PpOtbLnb9/I8vvXAJS8sQPXuDBf3uSwzubmbfy5EYsiqIoivJOpYJoRbkAnIyD9CWBosBZq27UTaph4XVzMK38j1/TnHEEQjb9XWPrFjhWbQc76WntZ9mtiwhGAgghmDRvPJPmjieTyo5a1g5YLF49j6rGcoQQmLaJOVxDNtYbY/drB6hsKKOntZ++9gEAAkU28f4ELfvaqRqXnyhYP6WGhatOnNvEueMJBC36u1TOtqIoinJpUUG0olwAdshG0wXJoRS+56OdoZVwUTRE8YjUBsPU0QwNz/VPu875GOwewgqYFJeFCyPjmq5RVlNC++HRo9u6oVPRUHbKEfShvgTJoRR97QN0Hesd9b2qxnLMwImGDUXFISKlJ0a5DVNH0zV899w6GSqKoijK250KohXlAiitjlJcHqF5XzvxgQTR4Y5ipyKEGFON6N+UGTDxXB/X9ZBSFgJkJ3dyuTwECHHqwN+0DUzb5PIb5nPn7984ejUhCI8ImjXtNOem5hQqiqIolxjVwUBRLoBQJMhl18/jwObDvPLoJtKJDNKXSClxci5O1nnL21fXTaxGNzQObT+G5/pIKUkMpmjZ135O26moK6VmfAVtBzvRdI2K+jIqG8opqy0lUlqEHbAu0hkoiqIoytuXGolWlAtk5fuXsnfjIX75jUdp3tPGtMsmoeka3c19NEyuYd7VY5tYl05m6G3tJ5vKMdAdIxlLcWRnM7HeOKXVUaIVxWTTOXpa+siksvR1DpCOZzjyRgupWIqSqvwyNU1VXHb9PJ764RoCIZtIWRE7Xt7DYHeMmqbAmM/LtE1Wf2wlP/zfv+SX//Qoi1fPQwhBf+cgsb44t3z+OjTVUVBRFEV5l1FBtKJcIFXjKvjiNz/Gml+sZ/NzO9j0zA50Q6O8rozGKbVomiBaEcG0jFHdCk3boLy2lGDYBqBlbzv3f/NxhnrjDPbE8FyPn3/9EYLhAFd/cBnX3b2c7pZefvp3DzLUG2OoN04u63DfPz+KHbK56vbLWP07K4iUFnH3n9/Jw//+JI98+ynsoMX8a2Zx02dWceSN5kLgawVMKuvLsEbkNo8khOCy6+cRKArw3M/Wcs8/PAQSwqVFXH7DfAzTQPqSaGUxgaLs6HOzTMrrSgkUjT1oVxRFUZR3AiGlfKufMivKJS2XccgkM7iOhxCgmwbBcADD0PMTD6UkUlpUyFF2cy6JoRTBIhs7ZJPLOPz/9u41uMr7sPP477mc+0XSOboeCSQkMMgGgzEYG99CcHyN4yZxWm+Suk43m+20O+109k1nOn3h2elMtzuZnd2dJJPMZqe5OGnaxs46rWM769i4BINtwOZmEFcJdEeXo3PRuT3Psy+EBTI48LS1wdb3wxtxztHz/B/BQV8e/Z//k88W5LkXvzUj8bCiiYiqlZryU3m5l3hNOBpSNBmRYRjyPE+lQlmlQlmGIUUSEXmep0qpqnhdVKZlqlquKj9dVLw+Or8ix6W4jqvZfEmVUkWeJNu2FY4F5z8nP12U955jq1ZqKmSLisTDCkWY9gEA+PggogEAAACfmMgIAAAA+EREAwAAAD5xYSEAAItIzXG0+9igqo6rjSs6FAqQAsC/BO8cAMCi9vRrB7T/1LD+6KHNakzO3TzIcV1tO3BC//TmYf3Zo1vUlIxdZivnFUoV7T0xpFf2H9fQ5IxMQ2ptSOpT61ZofU+7Arb1QR3KFanUXD23+7CK5arWdLb4imjP87Tn+KC+9Yud+uxtq/XQhlUf4EiBaxvTOQAAi9rQRFbvnBlT5YLb03uedHamoIP9I6pUa1e8rUKpou//aree/PEvdebstJa3pdXVktJYNq+3Tw6r6rgfxCF8qKqOq32nhlUsVa72UICrijPRAABcZp2qUqWq4amcmuriKpTKmi6UZJumWurjioWD80tK/mrfMf3tP7+lz29eoy/dfZMa4hF5kmaKZVmmoUjQnltmsuZoLJtXoVRRwLLUmIwqGQ3LMIz5fTXEIxrPFhQPB5VOxjQylVPVcdTWkFT03NKSruspW5zV2ZmiHNdVIhJSU11cwQvOdruep4mZgibzs7JMQ4nIwnXbR6ZyKlWqak/XLThLXqpUdWpsSm0NSSWjoXNLV84dQyRoK8n671jkiGgAAC7j1NiU/uKpF/WJ1d3a3z+i0+PTclxXd6/u1r+/9xY1JWOqOo6eff2QVmSa9Nid65S+YApIQzwy/3G2WNI//HqffrH7iIrlqkxDun5Ji7567y1akWlU//i0/vwHz2t9T7v++eBJtaeS2rpuhZ578x2dnSnq8U+u12N3rpMk7TkxqKde2aMjg+NyXE+peFSf2XS9Htl0w1ywS9pzbFDfeXGXTo5OKh4OqrejWdliSdHQ3NrtL+7t0z++8Y7+8nfv1/K29Pw6728cPaO/eOoF/dXvPahN1y2RJBmGFArYqo9FVB8lorG4MZ0DAIArMJ2f1et9A3p08xr9z689oj/5zB3a1Tegp3fsV81xNTyZ08hUTjf3tCuViF5yG47r6mevHdRzbx7Wl+6+Sf/ra4/oyS/dq5rr6hvP7dBErihJGp3OKRoK6MkvfkoT+aJ++Vaf/vDBzdq8qlM73ulXoVzVmbNZfeeFXaqLRfTXTzykb/zBZ7V17XJ976U39XrfgCRpfDqvb/3iNQUsU1///U/rr594SJ3NDTp8Zmx+TLdf3yXHdbXn+KBq7tx0E9f1tO3ACfW0pdXdmpoPa0nqak7pv3/1Ya3pav2gvtTARwIRDQDAFXA9T1tuXK67Vnerpy2t+9av1E3d7Xrt8IAmckVliyW5nqd0MibbuvS318lcUdsOHNe67owevqVXPW1p3dzToS9/Yr1Oj2e188hc/Lqup82rOrV2WUbtqaRWtTdr7bI29S5pUbnqaKZY0u7jgxqenNHv3LFW3a0pZVIJ3bNuhRrrYnp5/3E5rqfjIxM60D+ix+5cpxu72rQi06gv3H6jMqm6+TFlGpK64/pleuntY8oVy5Kk4akZHRwY1a3XLVX6Pf8hCAdtdbem589kA4sV0zkAALhCmVRSgXOBbBqGupob9ObRMyqWK7LNucdrjiPP8xacvX3XZG5WuVJFXc0p2db5+cft6ToFLFP9Y1NakWmUJMUjIUlSMGArHgnJtkzZlilPnsrVmgbGpzSWzeu//OT/KXBuWzXX1dh0Xq31CUnS0NSMwkFbbanE/L5CAVvt6aQcd24ieDhoa/OqTv360Cnt7x/WnTd0660TQ6rUarptVacsk/NtwKUQ0cA1zPVcVdySTMNS0AwteK7mVlXzagqaIZkG3+SAfynbMlVzXbnu+asLPXmqVB3Zlrkght/bxaZpyvU8eZ7UWBdT0LZ05mxW5WpN4WDgon258uR5nixz4YZMw5CMueke7+7HPLczQ4bmXn7+czzPU81x1VwX12N3rVM8vPCscDoRlWkacl1PlmnOb+vdbVumKcd1zv3e0A1LW5RJJ/Xy/hO6fkmLdhzuV3drej7oAVyMiMai5nme8rWcJipjKjuzsgxLUTuhdLBJIevqXzSTr83o6TPfU2dshbY0P7jguX3ZN3Qgu0cPtf220qHmD3QchVpOp4sn1RBsVHOo7ZJn2ICPqnQyprMzBU0XZtXRODfNoea4Ojk2qXQiNn/mWZJGpvKqOa4CtiXP8zQ4kVV9LKJIMKB0IqqVmSbt6hvQqbHrtarj4vdlQyyieDiowYmsHNedP8s7Np1TzXHVlkpe0Zhty1JbKinP83T9kmYtb7t07DbXxVUsVzSZK6q7NS1pbom6szMFJS+4MDAWDur23i79bOcB7T0xpH2nhvUf79s0f4YbwMU4fYVFy/Fq2pd9Qz8a+JZ+2P9N/XjgO/rRwLf1VP83tS/7xtUeniTJ8RxNVc+qUMtd9FzVrarslOTqg193drQ8pP994uvaPbVd3uXWAgM+YlZ3tioUsPXUtr06Pjyh0emcXtzbp52HB7S5t1OJyPmfAr2875gOnR7VVL6oPccH9eaxM1rX3aZ0MirTMPT529eoWK7qfzy7XdsPndLodE6j0zm9fXJIJ0cnlU5EtWnlUu0+NqjXDg9oMldU//iUnt55QIlISLdet/SKxmxbpjYs71BdLKwfvrJX/WNTms7Paiyb184jAxqcyMrzPPW0pbW0qUHP7DyoockZnZ0p6OV9x3RiZHLB9gzD0ObeTpmGoadfO6B4OKgbl7XJNPkPM/B+OBONRcn1XPXlDuq54b9TXSClRzJfVGukQ2WnpIHiCbVHOq/2EC9rXf0m9SbXKmYnLv/if6WwGZFl2IpacRnimyo+XpY1p/TE1g362c4D+tPvPivr3PSotd0ZPbSxd/6OfgHLVCoR1bef36VStaZsYVZLm+r12VtXz6/LvHZZm/744dv1Dzv26789/YokyTINBWxLT2zdqCWNc6/PFkv6xnM7FA7YqtYchYK2vnLPRmXSSR0bnrjsmA1Jy1pSemLrRv301/v05z94XsGApUrVUcCy9CefuUOZVFJtDQk9/smb9aNte/Wfv/tzRUJBNcQjWrus7aJtNiVjum1Vp57atlef3tirlvoP/t8W4KOMiMailK/NaNvYLxS14nq04ytqDp//htIR7ZI0N9XD8Wo6VTiqw7l9ylWzigfqtKbuZnVEumSbAZ0s9Olkvk/pULP6cge0PH69GkPNenNyu8JWVLc33qNkoF6e52mmNqX92d0aLPZLkpZEl2lN3QbF7eT8jRomK+N6e/p1jZaHFLcT6oqukN4TrQeze3VwZo/KTklxO6ktzQ+qPphe8JqaW9WpwlEdyr2tfHVGcTuhNXUbtDTWLcuwFxzbkdwBzdSmZRu2WsIZ9SbXqSm0cOkq2wgoYkUVteP/9n8YwFUWDtr6wu03asPyDp2ZyMpxXKUSUfW0pVV3wZQHx/V03/qVWtJYp6HJGQVtS6s6mpVOROenOAVtW/evX6n1Pe06OTqp/GxFlmmoLhZRT2talmmopT6uP/707eobPKuJXEGhgK1lLSm1NSRlmobaGhJ68ov3KpNKyrZM/e6W9YpHgrJNUxtWdKg9nVR9PCLbMrX1xuVa09mqEyMTKparCgdtNdfF1dncIGlu2scDN6/UqvYmDZydVsCydF17o2bLVWWLJUUuWGEjFJhbdaMuGtadN3T7uh04sBjxDsGiNFEZ0+nZE7q35XPvO5/Yk6cDM3v04sgzagy2qCGY1tnyiJ458wNtbXlYa+o2aKpyVq9N/ErdsZXK1Wb0wsjTaglnFLViOjTztuJ2Urc33qN8Lavnhv9e46URtYY75MjRjolfaXC2Xw+0fUFxO6GCk9dzw3+v4dJpdUVXqOTM6tXxFzRTnV4wroZgWh2RZTo4s0dD+QHdlt6y4HnHq+ngzF69NPpzpYJNSthJjZaH1Df4PT2ceUwr4jfIkKEThSN65swP1BzOqD6QUskp6mjukBpDLRdFdMSKal39JrWE2v9t/yCAa4RtmVqRafyNF9J5nifbNLSqo/mS853fZRiGWuoTv/FMbjQU1LruzCWfS0bD2rp2xfzvL3xdR7pOHenzy9OZpqHWhoRaG95/X5ZpanmmUcsvc5HgbKWqgwMjam+s05rOlt/4WgBENBaps+VReZ6UiSyR+T6XBuSq03pl9Dl1x1bq/rZHFbPiKjmzenboKb06/rw6osskSTWvplsbtyhohvTt4/9VzeGM7m/9nH5y+rsamu1XxS1rz9RODRb79TtLv6r2SJc8eXp7+nX909BP1BPv1U31t+po7qBOFvr0cOYxra2/RZKhPVOv6ccD314wrkxkqTKRpaq4Ze2e2n7RuKcrU3pp9OdalbxRW5ofUtiMqOgU9MP+b+rV8RfVHulUxIrpzGy/PHm6r/Wzagsvkae5iyzDl7igMhGo0291fPlf/4UHPsI+rlcDzBRLmq1Utff4kLYfOqWv3LPxoluDA7gYEY1FqeZWZRmWLMN+35UmhktnVHTyWplYo5gVl2EYithR9SbX6cjgD3W2PCpJCphBpYPNqroVRayYWkIZmbIUtxLKVic16xR0qnBUNa+mM7P9Gpo9LUmarkyo5tU0NDugNXU3a7h0WkEzpOXx62Uac/Mrl0a71fCeqRqXM1Ye0tnyiKruKu2bPn+BpOd5Gimd1mytqJgVVya8RGW3pG3jz2td/SZ1RLqUCCSZ8wwsMv9310G9sKdP+VJZt1y3RHfesOyiJfgAXIyIxqIUsWOqeVXNOsX3vSlCvpaTYZiK2rEFzycCdaq6FZWcWUmSKVOWYauqqkyZCpjvzjE05taadcsq1HIq1vJ6e2rXgn20R5aqIZiW4zkqOgVFrNgFny8FzIAiVszXseWq03Ll6UT+iIbPBfu7OmPLZZsBGYapnvgqPdrxFe2e2q6fD/1YcTupm+pv09r6WxS1/e0T+LjraKzXX/3eA/PLxH2cfGJ1j65rb1I4YKurOaW6GGehgStBRGNRagq2KmCGNFA8ppWJNbKNi98KYSt8LoIrCx4vO3M3PwmYAdWcykU3X3gvy7AVtEJqj3bp8a7/dNGZXsuw5clV0Aiq6pbleueXrHM9VzW36uvYQlZEtmHr/rbPaVls5YLnDBnzkR4wg+pNrlVPfJUGZ/v11vQuvTT2rDy52ty41dc+gY+7eDiojSuWXO1hfCCWNNVrSVP91R4G8JHDOtFYlBqCjepNrtWeqZ06nNunslOS53lyPVclp6iaW1UmslQhM6yThSMqObPyPE9Vt6K+3AElA/VKBZuuaF9hK6olkWWarkxovDyioBlS2IooaIbkea5Mw5BtBNQablfRKejM7Em5nivP8zReHtFkZdzXsbWGOxSzEzpR6JPkKWSFFbYiMg1LnjwZmlsJZNYpyvFqCplhdcdW6p6Wzyhp1+tU4RhrQQMAcBmcicaiFLGiuqvpPo2WBvXTM3+jG5Lr1RhqUdWtaKIyps2NW9Ue6dQtqbv06vjzqrmOWsPtGisP60B2j25Nf0KNoRYNzp667L5MmVrfsFknC316dvApranbqIgVVb42o4nKmLY0P6h0sEU98V7VB9N6fuSnurlhWI7n6tDMWwpZkfltVd2KRktDmnUKGi0PatYp6kShT3knp/pASqlgk1LBRt3R+CltG39eFaes9kinal5VY+VhNYfadEvqbkmedk68olw1q8ZQs2wjoJHSoGZq07qp4bYP7gsPAMDHBBGNRckwDGXCS/Xvln5N+7Nv6lj+HQ0UjytkhtQcblfEisqUqVtSdylmJ7Q/+4YGiscVs+N6oO1R9SZvnLtFuBVTcygj0zBlm7aawxlFrKgkqS7QINMwZBqmmkKt+nzHE9oztUOHc/vOXYQYVU+8d+4GJoahVLBJv9X+Ze2ceFl7p3Ypbie0KXW3ThdPKBmY+1Frvjaj7Wdf1HR1UmWnpLAV1Z6pHQqYAa1I3KA7Gj+loBnSpvTdqgs0aF/2Tb0++aosw1I61Ky2yBKZhinJU1OoVacKR3WqcFSGIcWshO5r/ZxWJ9dzcSEAAJdheJ7Hz22xaHmep3d/zS1gNZePhsy5G6DIkzydu7W2d+6ZuVlQczdIceXKm3/MlSvz3Bbe3eb8ti65r3O/zk2snnuNe+41c/vy5M59bJhzU07mx7LQ3JbMBdu6cNzvHteFFm5r4bEBAID3R0QDAAAAPnFhIQAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAACXoSogAAADvklEQVQAgE9ENAAAAOATEQ0AAAD4REQDAAAAPhHRAAAAgE9ENAAAAOATEQ0AAK5ZlWpNbx0d1KnhSbmed7WHA8yzr/YAAADA4uF5ng6cHNH/+cddMkxDxgXPxSMhPX7/BvW0N84/Np0v6ZvPbNeanoz+4JHNMm3rwx80cAlENAAA+FBNZAvaceCUPnnzcjUkIvOPR8NBBQML0yQWDuieDSu1tKVelmm8d1PAVUNEAwCAD10wYOnx+zeqt7Plks/XHEejk3lVajVt7F2i+nhEhkFE49pBRAMAgGtOvljR959/Q0cGxjQ8OaMvbFmnJx7YKNtiOgeuDUQ0AAD40Lmup9Nj07Kt82scRIIBtaaTsi1TiVhI/+HhW3VmPKuv/+0rqlRr4rpCXEuIaAAA8KErV2v6y+//csE859XL2vTk79+vhmRUlmmqsT4u15PCQXIF1x7+VgIAgA9dKGDrz760VV1tqfnHIqGAErHQVRwVcOWIaAAA8KEzTUNdban3vbAQuNZxsxUAAADAJ85EAwCAa47runJcTzXHkefp3MeuDEMyTVMmy93hKiOiAQDANeeNw6f1+qEBjU/nNTA2pUKpolyxrMa6mO7duHLBXGrgaiCiAQDAh2pFR5P+9LfvVmsq8b6viYaDyjQm1ZJKaHV32/zjoaCtQIC1onH1GZ7HqosAAACAH1xYCAAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPhERAMAAAA+EdEAAACAT0Q0AAAA4BMRDQAAAPj0/wFTMRu4U14euQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
        "from PIL import Image\n",
        "\n",
        "text = list(set(gen))\n",
        "plt.rcParams['figure.figsize'] = (13, 13)\n",
        "\n",
        "#assigning shape to the word cloud\n",
        "mask = np.array(Image.open('/content/star.png'))\n",
        "wordcloud = WordCloud(max_words=1000000,background_color=\"white\",mask=mask).generate(str(text))\n",
        "\n",
        "plt.imshow(wordcloud,interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.082708,
          "end_time": "2021-02-25T06:30:10.451358",
          "exception": false,
          "start_time": "2021-02-25T06:30:10.368650",
          "status": "completed"
        },
        "tags": [],
        "id": "cMYiOT4Uom93"
      },
      "source": [
        "# Lollipop plot of Genres vs their count on Netflix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "papermill": {
          "duration": 0.656359,
          "end_time": "2021-02-25T06:30:11.191421",
          "exception": false,
          "start_time": "2021-02-25T06:30:10.535062",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 909
        },
        "id": "IrMn-BAnom94",
        "outputId": "116f8977-208a-4a94-e83d-d4b494be100a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x936 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 0 Axes>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "g={k: v for k, v in sorted(g.items(), key=lambda item: item[1], reverse= True)}\n",
        "\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "\n",
        "fig = plt.figure(figsize = (10, 10))\n",
        "x=list(g.keys())\n",
        "y=list(g.values())\n",
        "ax.vlines(x, ymin=0, ymax=y, color='green')\n",
        "ax.plot(x,y, \"o\", color='maroon')\n",
        "ax.set_xticklabels(x, rotation = 90)\n",
        "ax.set_ylabel(\"Count of movies\")\n",
        "# set a title\n",
        "ax.set_title(\"Genres\");"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.084998,
          "end_time": "2021-02-25T06:30:11.361515",
          "exception": false,
          "start_time": "2021-02-25T06:30:11.276517",
          "status": "completed"
        },
        "tags": [],
        "id": "7PW9SRi1om95"
      },
      "source": [
        "Therefore, it is clear that international movies, dramas and comedies are the top three genres that have the highest amount of content on Netflix."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.084417,
          "end_time": "2021-02-25T06:30:11.530870",
          "exception": false,
          "start_time": "2021-02-25T06:30:11.446453",
          "status": "completed"
        },
        "tags": [],
        "id": "wOQV24Lpom96"
      },
      "source": [
        "# Analysis of TV SERIES on Netflix"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.112221,
          "end_time": "2021-02-25T06:30:11.728190",
          "exception": false,
          "start_time": "2021-02-25T06:30:11.615969",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OLA71LzNom96",
        "outputId": "0b7a1956-e0b8-4cbf-90c3-80550f6433e1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-43-af70cc212816>:2: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ]
        }
      ],
      "source": [
        "countries1={}\n",
        "netflix_shows['country']=netflix_shows['country'].fillna('Unknown')\n",
        "cou1=list(netflix_shows['country'])\n",
        "for i in cou1:\n",
        "    #print(i)\n",
        "    i=list(i.split(','))\n",
        "    if len(i)==1:\n",
        "        if i in list(countries1.keys()):\n",
        "            countries1[i]+=1\n",
        "        else:\n",
        "            countries1[i[0]]=1\n",
        "    else:\n",
        "        for j in i:\n",
        "            if j in list(countries1.keys()):\n",
        "                countries1[j]+=1\n",
        "            else:\n",
        "                countries1[j]=1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.097673,
          "end_time": "2021-02-25T06:30:11.912218",
          "exception": false,
          "start_time": "2021-02-25T06:30:11.814545",
          "status": "completed"
        },
        "tags": [],
        "id": "Im_JUXuiom97"
      },
      "outputs": [],
      "source": [
        "countries_fin1={}\n",
        "for country,no in countries1.items():\n",
        "    country=country.replace(' ','')\n",
        "    if country in list(countries_fin1.keys()):\n",
        "        countries_fin1[country]+=no\n",
        "    else:\n",
        "        countries_fin1[country]=no\n",
        "        \n",
        "countries_fin1={k: v for k, v in sorted(countries_fin1.items(), key=lambda item: item[1], reverse= True)}\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.086108,
          "end_time": "2021-02-25T06:30:12.088851",
          "exception": false,
          "start_time": "2021-02-25T06:30:12.002743",
          "status": "completed"
        },
        "tags": [],
        "id": "mt85btW3om98"
      },
      "source": [
        "# Most content creating countries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "papermill": {
          "duration": 1.305106,
          "end_time": "2021-02-25T06:30:13.485526",
          "exception": false,
          "start_time": "2021-02-25T06:30:12.180420",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 899
        },
        "id": "X8cWn-p8om99",
        "outputId": "160b34d1-7646-4208-e4fb-40bd853dc345"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Arrival delay (in minutes)')"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x1080 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Set the width and height of the figure\n",
        "plt.figure(figsize=(15,15))\n",
        "\n",
        "# Add title\n",
        "plt.title(\"Content creating countries\")\n",
        "\n",
        "# Bar chart showing average arrival delay for Spirit Airlines flights by month\n",
        "sns.barplot(y=list(countries_fin1.keys()), x=list(countries_fin1.values()))\n",
        "\n",
        "# Add label for vertical axis\n",
        "plt.ylabel(\"Arrival delay (in minutes)\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.08838,
          "end_time": "2021-02-25T06:30:13.672995",
          "exception": false,
          "start_time": "2021-02-25T06:30:13.584615",
          "status": "completed"
        },
        "tags": [],
        "id": "qs045XD4om9-"
      },
      "source": [
        "Naturally, United States has the most content that is created on netflix in the tv series category."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.110229,
          "end_time": "2021-02-25T06:30:13.875038",
          "exception": false,
          "start_time": "2021-02-25T06:30:13.764809",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uzdR0jUJom9_",
        "outputId": "53652816-43df-4988-f0ac-ba7c9282eae4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-46-dfedf649a3e0>:4: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n",
            "<ipython-input-46-dfedf649a3e0>:7: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ]
        }
      ],
      "source": [
        "features=['title','duration']\n",
        "durations= netflix_shows[features]\n",
        "\n",
        "durations['no_of_seasons']=durations['duration'].str.replace(' Season','')\n",
        "\n",
        "#durations['no_of_seasons']=durations['no_of_seasons'].astype(str).astype(int)\n",
        "durations['no_of_seasons']=durations['no_of_seasons'].str.replace('s','')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.10696,
          "end_time": "2021-02-25T06:30:14.073856",
          "exception": false,
          "start_time": "2021-02-25T06:30:13.966896",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p_Npa9nCom9_",
        "outputId": "9bf1e213-d8bc-440d-f5e9-5a64527556c9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-47-ad93769c4198>:1: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ]
        }
      ],
      "source": [
        "durations['no_of_seasons']=durations['no_of_seasons'].astype(str).astype(int)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.088687,
          "end_time": "2021-02-25T06:30:14.253507",
          "exception": false,
          "start_time": "2021-02-25T06:30:14.164820",
          "status": "completed"
        },
        "tags": [],
        "id": "yfivNhnlom-A"
      },
      "source": [
        "# TV shows with largest number of seasons"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "_kg_hide-input": true,
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.10144,
          "end_time": "2021-02-25T06:30:14.444293",
          "exception": false,
          "start_time": "2021-02-25T06:30:14.342853",
          "status": "completed"
        },
        "tags": [],
        "id": "Z6n327QEom-B"
      },
      "outputs": [],
      "source": [
        "t=['title','no_of_seasons']\n",
        "top=durations[t]\n",
        "\n",
        "top=top.sort_values(by='no_of_seasons', ascending=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "papermill": {
          "duration": 0.589975,
          "end_time": "2021-02-25T06:30:15.124975",
          "exception": false,
          "start_time": "2021-02-25T06:30:14.535000",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 973
        },
        "id": "Lr7SjLJCom-I",
        "outputId": "963905e2-d114-4e16-902e-5023dbf567be"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f37c24cf0a0>"
            ]
          },
          "metadata": {},
          "execution_count": 49
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x936 with 1 Axes>"
            ],
            "image/png": 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AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFC9aj2A8jRt0piGPn26/H3NzZt2+vG2l1/OwqWtxe0BAOgpYp9u19CnT1KpVH+c9vZk6eLi9gAA9BSn8QAAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRK7AMAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRK7AMAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRK7AMAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRK7AMAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRK7AMAQKHEPgAAFErsAwBAocQ+AAAUSuwDAEChxD4AABRqrWJ/4sSJaWlpydChQzNjxowkyaJFi3L88cfnwAMPzCGHHJKTTz45zz///HodCwAArL21iv39998/V199dQYOHNhxWaVSyXHHHZdp06bld7/7XbbZZptceOGF620oAADw9qxV7A8fPjwDBgxY7bJ+/fplr7326vj1brvtlmeffbZ71wEAAOusW87Zb2try89//vO0tLR0x+EAAIBuUGlvb29f29/c0tKSyZMnZ8iQIatdPn78+MydOzeXXnppGhrWw3N+K5Xqj7H2X2bX7OlavW2qpz2vvppstFF5x+nuYwEAVetV7QEmTpyYp556KpMnT16n0F+4cEna2tYcUc3Nm1YzbzXz5y+u+hj2dK3eNtXlnm764aOu9iTdtmltNDdv2mPXtTbs6Vq9bbKnc/W2J6m/TfZ0rt72JPW3qTv2NDRU0tTUd40fryr2v/e97+XBBx/MlClT0rt372oOBQAAdLO1iv1zzjknN998cxYsWJBjjjkm/fr1y0UXXZTLL78873nPe/K5z30uSTJo0KD84Ac/WK+DAQCAtbNWsT927NiMHTv2TZc/+uij3T4IAADoHt5BFwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACiX2AQCgUGIfAAAKJfYBAKBQYh8AAAol9gEAoFBiHwAACtWr1gMA3qhpk8Y09OnT5e9rbt6004+3vfxyFi5ttWc97wGgfol9oO409OmTVCrVH6e9PVm62J71vAeA+uU0HgAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEJ1GfsTJ05MS0tLhg4dmhkzZnRcPmvWrBxxxBE58MADc8QRR+TJJ59cnzsBAIC3qcvY33///XP11Vdn4MCBq11+1llnZdSoUZk2bVpGjRqVcePGrbeRAADA29dl7A8fPjwDBgxY7bKFCxfmoYceysEHH5wkOfjgg/PQQw/l+eefXz8rAQCAt22dztl/7rnn0r9//zQ2NiZJGhsbs9VWW+W5557r1nEAAMC661XrAU1NfXvsupqbN+2x61ob9nSt3jbZ07V622RP57plz6uvJhtt1D3X9zaO1R3HsadO9tTjpnrbs5aK/Demm9XbpvW9Z51if8CAAZk7d25aW1vT2NiY1tbWzJs3702n+6yNhQuXpK2tfY0f784/gPnzF1d9DHu6Vm+b7Olcd/8jU2+b7Olct+2pVLphTZL29vraZE+P7Enqb1O97Vkbzc2b9th1rY1625PU36bu2NPQUOn0zvN1Oo2nqakpO+20U2688cYkyY033piddtopW2yxxbqtBAAAul2X9+yfc845ufnmm7NgwYIcc8wx6devX6ZOnZqzzz47Y8aMyQ9/+MNsttlmmThxYk/sBQAA1lKXsT927NiMHTv2TZfvsMMO+fWvf71eRgEAANXzDroAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFCoXrUeAABA55o2aUxDnz5d/r7m5k07/Xjbyy9n4dLW4vbU46Z62SP2AQDqXEOfPkmlUv1x2tuTpYuL25PU36Z62eM0HgAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEL1qvYA//Ef/5GLL7447e3taW9vz8knn5xPfOIT3bENAACoQlWx397enjPOOCNXX311hgwZkkceeSSf//znc8ABB6ShwYMGAABQS1UXeUNDQxYvXpwkWbx4cbbaaiuhDwAAdaCqe/YrlUouuuiinHTSSenTp0+WLl2aKVOmdNc2AACgCpX29vb2df3kFStW5LjjjsuXv/zl7LHHHvnjH/+Y0047LVOnTs0mm2zSjSsr1R9j3b/MN7Ona/W2yZ7OdceepP422dO5etuT1N8mezrntqNr9nTO36GuVbmnqnv2H3744cybNy977LFHkmSPPfbIxhtvnJkzZ2bXXXddq2MsXLgkbW1r/iKamzetZuJq5s9fXPUx7OlavW2yp3PduSepv032dK7e9iT1t8mezrnt6Jo9nfN3qGud7WloqKSpqe+aP17NFW+99daZM2dOnnjiiSTJzJkzs3Dhwmy77bbVHBYAAOgGVd2z39zcnLPPPjtf+cpXUvm/D1Oce+656devX7eMAwAA1l3Vr7N/6KGH5tBDD+2OLQAAQDfyGpkAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUKhe1R5g2bJlOffcc3P33Xdnww03zG677ZZvf/vb3bENAACoQtWxP2nSpGy44YaZNm1aKpVKFixY0B27AACAKlUV+0uXLs11112X2267LZVKJUmy5ZZbdsswAACgOlWdsz979uz069cvl156aUaMGJGjjjoq9913X3dtAwAAqlBpb29vX9dPnj59ekaMGJELL7wwhxxySP7617/mxBNPzL/927+lb9++3biyUv0x1v3LfDN7ulZvm+zpXHfsSepvkz2dq7c9Sf1tsqdzbju6Zk/n/B3qWpV7qjqNZ8CAAenVq1cOPvjgJMkHPvCBbL755pk1a1Z22WWXtTrGwoVL0ta25i+iuXnTaiauZv78xVUfw56u1dsmezrXnXuS+ttkT+fqbU9Sf5vs6Zzbjq7Z0zl/h7rW2Z6GhkqamtZ8J3tVp/FsscUW2WuvvXLXXXclSWbNmpWFCxdm8ODB1RwWAADoBlW/Gs/48eNz5plnZuLEienVq1cuuOCCbLbZZt2xDQAAqELVsb/NNtvkqquu6o4tAABAN/IOugAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACF6rbYv/TSSzN06NDMmDGjuw4JAABUoVtif/r06fnLX/6SgQMHdsfhAACAblB17C9fvjwTJkzI2Wef3Q1zAACA7lJpb29vr+YAkyZNyrvf/e6MHj06LS0tmTx5coYMGdJd+1aqVKo/RnVf5urs6Vq9bbKnc92xJ6m/TfZ0rt72JPW3yZ7Oue3omj2d83eoa1Xu6VXNJ//5z3/Ogw8+mNNPP32dj7Fw4ZK0ta35i2hu3nSdj/1G8+cvrvoY9nSt3jbZ07nu3JPU3yZ7Oldve5L622RP59x2dM2ezvk71LXO9jQ0VNLU1HfNH6/miu+9997MnDkz+++/f1paWjJnzpwce+yxufPOO6s5LAAA0A2qumf/hBNOyAknnNDx6/V2Gg8AAPC2eZ19AAAoVFX37L/Rrbfe2p2HAwAAquCefQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfVGJGHsAACAASURBVAAAKJTYBwCAQol9AAAolNgHAIBCiX0AACiU2AcAgEKJfQAAKJTYBwCAQol9AAAoVK9qPnnRokU544wz8vTTT6d3794ZPHhwJkyYkC222KK79gEAAOuoqnv2K5VKjjvuuEybNi2/+93vss022+TCCy/srm0AAEAVqor9fv36Za+99ur49W677ZZnn3226lEAAED1uu2c/ba2tvz85z9PS0tLdx0SAACoQqW9vb29Ow40fvz4zJ07N5deemkaGrr5eb+VSvXH6J4vcyV7ulZvm+zpXHfsSepvkz2dq7c9Sf1tsqdzbju6Zk/n/B3qWpV7qnqC7ioTJ07MU089lcmTJ7/t0F+4cEna2tb8RTQ3b1rtvA7z5y+u+hj2dK3eNtnTue7ck9TfJns6V297kvrbZE/n3HZ0zZ7O+TvUtc72NDRU0tTUd40frzr2v/e97+XBBx/MlClT0rt372oPBwAAdJOqYv+xxx7L5Zdfnve85z353Oc+lyQZNGhQfvCDH3TLOAAAYN1VFfs77rhjHn300e7aAgAAdCPvoAsAAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhRL7AABQKLEPAACFEvsAAFAosQ8AAIUS+wAAUCixDwAAhao69mfNmpUjjjgiBx54YI444og8+eST3TALAACoVtWxf9ZZZ2XUqFGZNm1aRo0alXHjxnXHLgAAoEpVxf7ChQvz0EMP5eCDD06SHHzwwXnooYfy/PPPd8s4AABg3fWq5pOfe+659O/fP42NjUmSxsbGbLXVVnnuueeyxRZbrNUxGhoqXf+mwYOrmfn2rmtt2NO1ettkT+e6aU9Sf5vs6Vy97Unqb5M9nXPb0TV7OufvUNc629PV1kp7e3v7ul7xgw8+mG984xuZOnVqx2UHHXRQJk2alJ133nldDwsAAHSDqk7jGTBgQObOnZvW1tYkSWtra+bNm5cBAwZ0yzgAAGDdVRX7TU1N2WmnnXLjjTcmSW688cbstNNOa30KDwAAsP5UdRpPksycOTNjxozJSy+9lM022ywTJ07M9ttv3137AACAdVR17AMAAPXJO+gCAEChxD4AABRK7AMAQKHEPgAAFErsAwBAod6RsT9lypQsWrSo1jN4h5s1a1b+/d//PUmydOnSvPDCCzXbsmTJkrS1tSVJZsyYkalTp2b58uU12wOsf8uWLav1BKCH1eL2/h350pvnnHNObrrppuy3334ZPXp0PvCBD9R6Emtw2223dfrxj370oz20ZHXXXnttLr/88rz22mu55ZZb8sQTT2TChAm58sora7JnxIgR+elPf5qlS5dmxIgRGTJkSJqbm3P++efXZM/555+fL33pS9l4441z9NFH56GHHsr48ePz6U9/uiZ73gmWL1+eF198Mc3NzbWeUjdOOeWUVCqVN11+8cUX9/iW2bNn5ze/+U3uueeezJkzJxtuuGGGDRuWAw88MJ/4xCfSq1evHt+077775pBDDsmoUaOy7bbb9vj1r43f/va3Ofzww2s9o2488cQTueyyyzJ79uysWLGi4/Lf/OY3PbqjXm9b6/H77PXbHn744ey4447ZbrvtarajFrf3tftTr8LYsWNz6qmn5vrrr8/YsWOzwQYbZPTo0Tn44IOz4YYb1npeTV1wwQWdfvyMM87ooSUr/ehHP0qyMoQeeOCBDBkyJMnKn2Z33XXXmv2D9JOf/CS//e1vM3r06CTJ9ttvnwULFtRkS5K0t7enT58+mTp1akaOHJkvf/nLOeSQQ2q25w9/+EPGjBmT//zP/0z//v3zv/7X/8oJJ5wg9t/ga1/7WiZMmJANNtggn/70p7No0aJ88YtfzLHHHtvjW9ra2nLHHXfU7Hvqrfzd3/1dx/9ftmxZpk2blh122KHHd4wbNy7Tp0/PJz/5yZx++unZcssts2zZssycOTN33nlnpkyZkrPPPju77bZbj+664YYb8stf/jL/83/+z+ywww4ZPXr0an9m9eCSSy6peewvWbIkffr0SUNDQ2bMmJHHHnssH//4x9O7d+8e33Lqqafmk5/8ZEaMGJHGxsYev/5V6vG2td6+z0488cSce+652WKLLXLLLbfkrLPOyvve9748+uijOfXUU2t2e1aL2/t3ZOwnSZ8+fXLEEUekqakp5557bqZMmZKLL744Y8aMyUEHHVSzXU8//XRuvfXWDBo0KAcccECPX3+fPn16/Do7c9VVVyVZ+Q/kmWee2fEozP3335+f/OQnNdu1wQYbZJNNNlntslr+w71s2bIsX748d911V4488sgkSUND7c+yu/fee/Pxj388/fv3f8t7aHvK3nvv3en133333T245r/NmjUrm266af71X/81e+21V775zW9m5MiRNYn9hoaGXHTRRXUV+4cddthqvx4xYkRN/mwOOOCATJgw4U2XDx06NAcddFBeeOGFzJ49u8d3NTU15aSTTsoXv/jF3HLLLRk/fny+/e1v58gjj8zo0aN77M6rr3zlK295eXt7e1588cUe2dCZo48+uuOe0GOPPTZDhgzJHXfcUZNHPtva2nLiiSf2+PW+UT3ettbb99mzzz6bLbbYIklyxRVX5Gc/+1m23XbbLFy4MMccc0zNYr8Wt/fvyNhfsGBBfvGLX+Taa6/N+9///kyaNCl77rlnZs+enaOOOqpHY/8LX/hCxowZk2HDhmXOnDk5/PDDs9tuu+WZZ57J448/3uP/KJx88sk9en1r67HHHlvtdKtdd901M2bMqNmefv36ZdasWR0Bef3112frrbeu2Z6DDjoo++67bwYPHpwPfvCDmT9/fk0fpWpqaspZZ52VO+64IyeccEJWrFiR1tbWmu357W9/m2TlQ+UvvPBCjjjiiLS3t+c3v/lN3vWud9Vs16qH8e+999589KMfzcYbb1zTH9KGDRuW+++/P7vuumvNNnSmUqlk7ty5PX69H/nIRzr9eL9+/dKvX78eWrO6V155Jddff31HiPzDP/xD7rnnnhx//PH5l3/5lx7ZcNttt+XMM8/MBhtssNrl7e3tueeee3pkQ2fq6ZHP3XbbLY888kiGDRtWk+t/o3q6ba2377Nly5alra0tDQ0NaWtr6zhVrqmpKbU8g70Wt/fvyNj/zGc+kxEjRuTqq69eLdC22WabjBgxoke3zJs3r+Ob/oYbbsg+++yT73//+3nppZcyevTomt4DcOedd+bhhx9e7UlgtfphYOONN87111/f8ZP0DTfckI033rgmW5LkzDPPzGmnnZZZs2alpaUlG220USZPnlyzPSeffHKOOuqobLrppmloaEifPn1yySWX1GzPd7/73dxwww057LDD8q53vSvPPPNMjjnmmJrtGThwYJKVUXLNNdd0XP6tb30rhx9+eE455ZSa7Nphhx1y3HHH5Yknnshpp52WV199tSY7Vpk+fXo+//nPZ/Dgwas9ytfT5xOv8vpz9tvb2/Poo49mn332qcmWNfnlL3+ZI444oibXPWHChNx8881paWnJhRde2HEqxiGHHJJPfvKTPbZjp512yrBhw97yh8RaPL/ijerpkc/7778/11xzTbbbbrvVAq1W32P1dtu6JrX4PvvUpz6V0047LaeddloOOOCATJkyJYceemhuv/32jtuUWqjF7f07MvZvvfXWNZ6r19M3+q//Zv/Tn/7UcerOZpttVtPTQi688MI88MADefzxx7P//vvnlltuqemN7HnnnZevf/3r+da3vpUkGTJkSCZOnFizPdttt11+/etf58knn0x7e3u22267mvz36upJVv379++hJau7++67c+SRR3Y8mWrQoEEZNGhQTba83pIlS/L88893PDT7/PPPZ8mSJTXbM3HixNx5550ZOnRo+vTpk7lz5+a0006r2Z6xY8fW7LrfyuvPP29sbMyxxx5bdy+oUItHGlYZOHBgpk6d+paPTvXUvfpJctZZZ6WpqektP/azn/2sx3asST098nnmmWfW5HrXpN5uW9ekFt9nX/nKV3LllVdm1KhReeGFF7J8+fJcfvnl+fu///ucd955Pb5nlfb29tx888158skn8/Wvfz2LFi3KvHnz1uvt/Tvy1XheffXV3HjjjXn66adXezZ8Tz/5NElGjhyZ73znO2lqasrHP/7xXH/99R1R9KlPfSq///3ve3xTsvKeoWuvvTYjRozIDTfckLlz52bs2LG54oorarJnlVVh1rdv35ruePzxx9/y8ve+9709uuOoo45KsuYnWf3iF7/o0T2r/NM//VOmT5+eww8/PJ/73Odq9kPHG1199dW5/PLL87GPfSzJyh+WvvjFL2bUqFE9vqW1tTWf/exnc+211/b4dXfl9T8Q1dKtt96a/fbbb7U7Z/7P//k/+dCHPlTDVfVn+fLlq50mV4/3zNbaiy++2HFP6NKlS7NkyZKa/rv08ssvJ6mf58nVy21rvVqyZElaW1tretrnKueee24WLlyY6dOn51//9V+zaNGiHH/88ev10aF35D37J598choaGrLzzjvX5Nn4r3fqqafmyCOPzMsvv5yRI0d2hP5dd91V05d26t27d3r16pVKpZLXXnst/fv3z5w5c3p8x5qiepWejutVTjjhhI7/v3z58ixYsCDvfve7c+utt/bojnp8klWSXHbZZXnmmWfyi1/8Iocffng++MEPZtSoUdl7771rtilJRo8enT322CP33ntvx6+HDh1aky2NjY3p06dPli1bVjevAvbXv/41X/3qV9PW1pbbbrstDzzwQH71q1/l29/+dk32nHLKKdl1111z2WWXddzInnfeeT3+A9Lzzz+fjTfeuCOi77vvvkybNi2DBg3KkUceWbNHYadNm5Zzzz038+bNS7LyHr9KpZKHH364Jnte78gjj8xPf/rTmm6ox0c+Z8+endNOOy0PP/xwKpVK3ve+92XSpEnZZpttenzLKosXL86sWbNWO2V3zz337PEd9fp9ltTXD0H33HNPrrvuuo4XMNh8883X+3tuvCNj/7nnnsvUqVNrPSPJylcJ+cMf/pClS5dms80267h899137/GXcXu9TTbZJK+88kp23333jBkzJs3Nzdloo416fMfro/qNKpVKbrnllh5c89/eGPV33313br/99ppsSerrSVarDBo0KKeffnpaWlpy6qmn5o477sigQYNy1llnZfjw4TXbNWzYsLp5ctx2222X0aNH58ADD1ztHr5VL+na084777xcccUVOf3005Mku+yyS8aMGVOTLcnKH+YPO+ywjBo1Kpdddlm23Xbbmjwx7ktf+lImTpyYbbfdNk888USOP/74fPrTn86///u/529/+1vNTs244IILcskll+T9739/Xbz61ustXbq01hPq9uUlR44c2fFypNdcc03GjRuXH//4xz2+JUluuummTJw4MS+99FK22mqrPP300xk2bFhNHnGs1++zerPhhhuu9upyq95ga316R8b+jjvumHnz5mWrrbaq9ZS88sorSVa+lOOq/5+sDNlavlTh9773vTQ2NuYb3/hGfvzjH2fx4sU1eaLVqqh+6aWXVvthqN7ss88+Xb5HwfpUb0+yWr58eW666ab8/Oc/T2tra7761a/moIMOyv33358zzjijxx8BWeVPf/pTJk2alNmzZ6e1tbXjntBavfRma2trdtxxxzzxxBM1uf43eu211970aNkbX2GlJ1UqlfzDP/xDtt566/zjP/5jJk2aVJN/F1966aWOV+KYOnVqPvnJT+bss8/OsmXLavoa8s3NzXX7ykm1/HuzSj0+8vn888/ns5/9bMevDz/88B59fsUbTZ48Oddcc02OPfbYXHfddbnrrrsybdq0mmyp1++zejNkyJDccMMNaW9vzzPPPJMpU6Zkjz32WK/X+Y6M/ZNPPjkjR47MsGHDVnv4vBYxu/vuu6dSqax2b9WqX9fq4djW1tZcdNFFOeecc5IkJ510Uo9veL329vZ87nOfy0033VTTHa/3+tOL2tra8sADD6z3t6vuzKonWY0dOzaVSqXmT7JqaWnJXnvtlTFjxmT33XfvuHz48OE1faL3P//zP+ekk07KbrvtVhf3hNbySV5vpXfv3lm6dGlHUD/++OM1PcVo1b+LH/7wh3PppZfmlFNOyaJFi3p8x+tP9/zLX/6Sz3zmM0lW3sNWy3f0POqoo3LRRRfl4x//+Gr/nWp1euPr/epXv6r1hA719MhnQ0NDnnjiiWy//fZJVr7XRi1PT+nVq1eampo6nvOx77775sILL6zJlnr9Pqs3Y8aMyfnnn5/58+dn5MiRaWlpyTe+8Y31ep3vyD/9M844Iy0tLXnf+95X02+yJHnkkUdqev1vpbGxMY8++mitZ3SoVCoZMGBAXnzxxbp4ckyy+ulFvXr1yuDBg2vyBi2r7LDDDrnmmmvq5klW11xzzRofOfvOd77Tw2v+20YbbVTTdxZ+o1deeSWXX355Zs+ene9+97uZOXNmZs2aVZM31EtWvmPksccem3nz5mXMmDG54447MmnSpJpsSVa+w/Aqw4YNy1VXXZVf//rXPb6jb9++ue2229K/f//86U9/6vheb2trW+/nynZm7ty5ufLKK3Pdddd1/PBai9Mb3/j39txzz83ixYuTrHxDq5122qlH97xRPT3y+bWvfS2jR4/u+DN55JFHavqocO/evdPe3p7BgwfnqquuysCBAzuePNzT6vX77Pzzz8+XvvSlbLzxxjn66KPz0EMPZfz48TV7U62+fft23BnbU96Rsf/aa69l3LhxtZ6RJJkzZ07mz5+fXXbZZbXLH3jggWy11VY1e7WAvffeOxMmTMhnPvOZ1c4lrtU9Rn379s1hhx2Wj3zkI6vtqcUrKCVvPme/Hjz99NN5+umnV3tVjlq9G2pzc3N+8Ytf5A9/+EOSlfcWjRw5sqanpiUr37Tltttu+//ZO/OwqOr2jd8D4hIgaiHkhkgaoSgo4ZZouKTIMkCKuGEpEKIiComgQEi4oFaaJooS+qKZ7CAuKUZWCLkFLmAgayayCQw7M/P7g/ec3wzg0vu+nO+Z/H6uqyvmzB/nvsaZc57zLPfDmy2xgYGB0NTUZB/6tbW1WU9nEkyfPh0jRozA1atXIZVK4ebmBh0dHSJagPZdH7L/VlpaWkQ2svr5+cHLywtlZWVwd3eHpqYmAODKlSsYM2YM53oYTpw4gYsXLxJvSd23b5/cjpq0tDQsX74cDQ0NOHz4ML744guC6vhV+TQzM0NycjKysrIAAOPGjSPqfOXh4QGRSAQvLy8EBgairq4OAQEBRLTw9Xf266+/wsfHBz/++CO0tLTwxRdfwMXFhfNg/0UD5915X1PIYN/IyAi5ubnEXDhkCQ0NxaJFizodb25uxq5du7Bnzx4CqsAOMP/444/sMZIDsSNHjsTIkSOJnFsWvroD7dmzB2fOnIGenp5cho9UULtr1y7cv3+fDQDi4+NRVFRE7OGM4fTp0wgLC4Oqqiqb0SLZs5+bm8t67QPtg/FcDFs9j6FDhxKxIu2K69evdzrGOClxib6+PpKTkzsdnzlzJmbOnMm5HoZBgwYRD/QBoKioSO5a06dPH3bInNSwuSx8q3y+/vrrcjskSMK0Vaqrq+Pbb78lqoWvvzOG3377DbNnz4aWlhaRxBUzcN4V3X2/V8hgPysrC/b29rzYYFdYWNilxZWJiQkCAwM518PAt8w1qc29HeGrO9D58+dx6dIl4jcxhp9//hlxcXFsn+W8efNgZ2dHPNiPiYkhev6OdLT+bW5uJuI24+3tjdDQUNjb23d5E+P62nju3DmcO3cOf/75Jzw8PNjjIpGIiCvY8ygvL2czkFwzduxYbNiwAXPnzpW7l3H9kC9bTQQgl6Sqra3lVMuzIF35dHJyQmRkJCZNmiT3GyOdcKisrMT27dvx119/ISoqCjk5Obh16xYcHR2J6HkWJH9nr7/+OgICAnD16lW4uLigra2t03eeC5iBcxIoZLDv5+dHWgKLrANPR0hm+PiyNIqhsbERBw8eZNtC3nvvPXzyySec913y7SGIQVNTkzeBPoPsDY10+w4DyRXnXWFiYoJDhw6hpaUFGRkZiIiIgLm5Oec6nJycAKDbh7xeFl1dXcyYMQPZ2dnsAjSgPSNLcsC7K5ydnREfH0/k3Hfu3AEgHwSQqOi1trZCJBKx1yA9PT0A7Q9nJI0LGPhQ+WRmX/iWcNiyZQvMzMzYTccjRoyAt7c374J9kr+zPXv2IDExEba2ttDQ0EBpaSk++ugjznWUlJRg6NChROIzhdygy8CHDXa2trbYt29fp4UaJSUlWLduHbHtmrIBB8mlUQy+vr4Qi8VYuHAhgP/PNJJ2M3ny5Alu3bqF4cOHE20L27VrFx4/fkw8w8ewc+dO5Obmsks/4uPjMWrUKOLB5F9//YXQ0FDk5OTIDXyRqsi0trYiPDwcqampkEqlMDc3h4uLCy+cJ1paWlBTU0MsmwYAT58+Rb9+/Yidn8+IxWJER0fDwcGBtBTs378ff/zxB0JCQtiAXyQSYcuWLdDV1ZWrzpBg9uzZiIuL40VC5MiRI3B2dn7hMa6ws7NDbGwshEIhG0zb2NggISGBiB6+IhKJUFRUhNGjRxPT4OrqirCwsC4TQt3dWUD+jvQfwKcNdh999BHc3Nzg6+vL+iVnZWVh+/btWLVqFed6GPi2NCo7OxtJSUns6/Hjx8Pa2ppzHSkpKfDz80Pfvn3h5+eHzz77DIMHD0ZRURE8PDyI9TpnZ2cDIJ/hY/D29sbp06fxww8/AABmzZrFi6DE19cXFhYWuH//Pnbv3o1Tp06xvs4kUFFRgZubG9zc3IhpkMXT0xNBQUFQUVGBjY0Nqqur4erqipUrV3KqIzIyEk5OTjh8+HCX75NuB+MDysrKOH36NC9+V25ubvDx8cG0adMwfPhwAO0tqjNnzoS7uztZceBX5TMlJaVTYN/VMa7omFiora0l0krIZ9LS0uDv7w9lZWWkpqYiOzsbBw4cwKFDhzjVwSw4JJF0Vchgn08b7KytrdHc3AxfX1+UlZUBaHeccHNzI2br1BWkl0YB7ZUYpgrzvPan7uTQoUOIjo5GbW0tPvroI8TExEBPTw9lZWVYuXIlsWCfZC9fVygpKcHR0ZF3peDq6mosWLAAx48fh7GxMcaNGwcHBwdiMyF865ctKCiAuro6zp8/j4kTJ2Lz5s1YuHAh58E+U50iWXWVxdzcvFNb2uuvv46pU6fik08+6TR7wRUTJ07E+fPnMXfuXCLnZ+jRowd2796NoqIi3Lt3DwBgYGBA1MlJFiMjI+KzDb/88gt+/vlnPHnyRO5eKhKJiAbXs2fPhr+/P+rr6xEbG4uTJ08SW2DF19/Zvn37EB0dzT6QGRoaori4mHMdGzZsYLs91q5di/3793N2boUM9vm0wS4vLw/GxsY4cuQIaymnoaEBgUCAvLw8Yj3yfFsaZWVlBQcHB8yfPx9AeyaExMOQkpIS2486aNAg9m8tLS0iOxtI9vB1hUgkwnfffQcNDQ0IhULs3r0bv/76K4YPHw5fX1+8+eabnOrpCLPV87XXXsOjR4/wxhtvoKqqipgevvXLtrW1AWh3nZg+fTr69OlDZPkY41DGl8H8sLCwTseqq6tx+vRp7Nq1C1u2bCGgCoiLi0NERAR69+6NPn36EB/21NHRgY6ODmpra5GZmYnGxkbo6+sT0SILHyqfKioqUFVVhUAgkHuIHThw4HONH7obZ2dnJCQkoLa2FmlpaVi2bBmxRCNff2cAOrUzknjwkH0oLCkp4fTcChns82mDnYuLC/sky/xDCgQC1NfXo6amhsgGXUYXAx+WRrm4uODtt9/GtWvXAABeXl4wMzPjXIds1qHjZlESQVFwcDDCwsK6vFmQcAfy9fWFsrIyGhsbERMTg5EjR8Lb2xsZGRkICAh4ZlsGV5iYmODp06dwdHSEnZ0devbsSTQrWlZWBkdHR5w+fRpA+w2E5GZfPT09rFq1Cg8fPsTGjRvR1NRERMe5c+cwb948REVFdXpPIBCgX79+mDFjBmeZ/2fZ/k6YMEHOX55r+DLs6eXlhVWrVkFfXx9Pnz6FjY0N1NTUUF1dDU9PTyxYsICoPj5UPk1NTWFqaoo5c+Zg1KhRpOXIYWNjw4tOAr7+zlRVVVFRUcHe/zMyMqCurs65DpKmFwoZ7PNpg13H3quGhgZERETg5MmTWLFiBRFNAP9cZxgfZ9LLkAoKCtiqkOzfUqkUhYWFnOthMiF8+ffKz8/H2bNn0draivfeew+nTp2CQCCAmZkZLC0tSctjB4SFQiFMTU0hEomI3nj51i/LeP6//fbbeO2111BWVoaNGzdyruOPP/7AvHnzWLeZjlRWVuLkyZP417/+xbEyeZSVlYk+nHV0l7px4wZiYmIQEhLCqY579+6xGfyEhATo6enh2LFjePz4MVxdXYkH+1KpFNHR0SgqKoKXlxdKS0vx5MkTjB8/nnMt33//PdasWcMO9E75IwAAIABJREFUnldXV+PgwYNEXAIvXbqEQ4cOIT8/H0B7sO3i4kJsqd+zIP078/LygrOzM0pLS7Fs2TIUFhbim2++4VxHaWkpO+wu+zfDV1991W3nVshg38zMDGfPnsXvv/8OgPwGO6C9fH7q1CkcOXIE06dPR2xsLLHtuQDg6OiIU6dOvfAYV6xevRqNjY2YOHEiJk2ahMmTJxNZJkM6M92RF80ucG1NypQ2VVRU8Oabb8plH5gWGhJ09Tn1798f/fv3R2NjI+efEwOf+mUBoHfv3nI3ei0tLSLXoXXr1gF4vtsW13MEXfHLL78QyfDJUl5ejri4OMTGxkIgEMDKyopzDbJVzhs3brDfIW1tbV7Y7m7fvh2VlZW4e/cuvLy8oKqqipCQECK7da5fvy7nMNW/f38ii+LS0tIQGBiINWvWYNy4cZBKpcjKykJgYCBUVFSIJ9ZkIf07Gzt2LI4fP46bN28CAIyNjdG3b1/Odfj6+rJ/y1oSc4FCBvuff/45/Pz85DbYMcdIEB8fj6+//hpjxoxBZGQkdHV1ieiQpWP5XiwWE1lTz3D27FmUl5fj119/xbVr17Bnzx6oqakhJSWFUx2mpqacnu9FGBsbd2oDYxAIBJy3gdXV1bErvevr6+XWezPbK0nAfE6ynxHzmsTnxODs7IzExERe9MsC7VXOgIAA5OTkyM3okPp8gHYnsOLiYnaeAGjfynr06FHONHS1bKy6uhoCgQBff/01ZzoYxGIxUlNTER0djdu3b2POnDmor6/H1atXOdfCUFZWBg0NDWRmZrIPawDkLG5JkZGRgfj4eNYKuH///sR0dbWMSfa7zRXHjx/H3r175e5pBgYGeOutt3Dw4EEiwT7ffmeyqKurE38AYr6/JFDIYJ8vK9iB9sHThoYGrF27FmPGjIFYLJYbtuR6wDI8PBzh4eEQiURyy2uampqIZIwYpFIp/vrrLzx69Ah//vkn+vXrhwkTJhDTwxfeffddNDY2wtbWFpaWltDQ0CCq580332RXemtra8ut99bW1iYlCzk5OcTO/SKsra2J2Mh2RWBgINavX4/t27cjPDwcUVFRUFVVJaZn06ZNuHv3LgwMDIjNVTE6ZBEIBBgwYAB0dHSI7ER47733oKOjgyVLluCrr75C7969MXPmTM51MLi4uEAoFEJFRQUTJkxg71u3b9/GoEGDiOli6NWrl1wQSXJhpaGhIYKDg+Hs7AypVIrw8HAYGhpyrqO0tLTL5JWJiQn+/PNPzvUA/Pud8XXrMQkUKtjn4wr2+vp6AO3WTl1lHrkesHRwcMDcuXOxbds2+Pv7s8fV1NSIBpLvvvsuRo4cCQcHB4SGhhJtceITJ06cQElJCeLj4+Hg4IBRo0bB3t4e06ZNI9LjyIdBuOfRVQWPZFWvsrKS/TeUze51Z+/l82hpacHkyZMhlUoxcOBAeHp6wt7enphbyO3bt5GcnEy0BQzgX0Vv4sSJSE9Px88//wwtLS3i+ubNmwcTExNUVFTIue+8+eab2LZtG0Fl7YwaNQqJiYmQSqUoLS3F4cOHiSWLfH198fnnn0MoFEIgEGDGjBly7Rlc8bzhdlKWt6S/xx3h69ZjEihUsM/HFex8GaxkUFdXh7q6epcWWCRxdXXFtWvXEB4ejhs3bmDKlCmYOHEi8VkLPjB06FCsXbsWa9euxaVLl+Dj44NVq1bxoqeZb/Cpqge0eyXr6elh8uTJRDPXDMwDooaGBnJycqClpYXq6mpiekhWg2QJDg6Gi4vLM+eELl26hObmZtYauLv58ssvUVNTg6SkJGzfvh01NTUQiUSsFS8JNDU1O9kT8iUp4+Pjgx07dqC8vBwLFy6Eubk5sW3eampqxDe/A/Itlx0h1XLJt9/ZwIEDIRaLERQUxLuYiGsEUgVctUZXsL+Yv/76C6GhocjJyZHrbeS60tCRlpYWpKSkYN++fXj8+DG7wOVVRiqV4urVq4iLi0Nubi7mzZuHhQsX8uZGyweYqt61a9fkHuxFIhHq6+vx3XffEdFlaWmJ5ORkIufuioiICAiFQmRnZ8PDwwMSiQTr1q0j9uAYEBCAvLw8zJo1S87XesmSJZzqSE1NxRdffIEBAwZg3LhxeP3119Hc3IyCggJcv34dU6ZMwfr169G/f39OdTHcu3cPMTExSE5OxvDhw1krVwr/aGxsRFhYGEpKSrBnzx7k5+ejoKCAcwecZcuWPfd9ElVavv7OHBwccOrUKaKOQLI8ePAAQ4YMYSsw9fX1ePTo0TOtS/8XKGSw39bWhpiYGNy/f18ukOXD0zZf+Oijj2BhYYFjx44hJCQEp06dwrBhw4gtublw4QLS09ORnp4OiUSCiRMnYvLkyZw94b8Mtra27HY7rggNDcWlS5cwfvx42Nra8q4MyhdycnJw79497N+/X254kKnqqampEdHl6ekJHx8fXjyYSSQSPHjwgG3DaG1tRXNzM7HPBgA2b97c5XFS1+rr168jMzMTjx8/Ru/evTFq1Ci8//77eP3114no6UhLSwsuXboECwsL0lJ4wY0bNzBhwoRnZrBJDFxu2rQJmpqauHLlCs6ePYv6+nosWbIE8fHxnGvhK3z7nYWEhKC0tBSWlpZyM0ykBnbt7Oxw+vRptr2xpaUFixYtQmxsbLedU6HaeBj8/f0hFouRkZEBR0dHJCcnw8TEhLQsXlFdXY0FCxbg+PHjMDY2xrhx4+Dg4EAs2L948SImTZqEVatWYciQIUQ0vAgSZb6jR49CV1cXDx486HJXBAlrOaDdmaNjAJuTk0Nsm6a+vj5GjhyJe/fuEXU0YFi3bh0EAgFEIhGsra1hbGwsZ19IomdfSUkJ3t7eSEpKAtBulUq6V55vCRgTExNe3yt69uxJA30Z4uLiMGHCBDmjAAauN+gy5ObmsvssgPaFTSQHhvkI335njBuZrPU4qe8P0O7oJHtt7tmzZ5cuT/9LFDLYz87ORlJSEqysrODq6orFixdj9erVpGXxCuaL9Nprr+HRo0d44403UFVVRUzPnj17iJ37RbS0tKCmpoaI7//x48c5P+fLsGbNGnz77bdsFiQvLw/r1q3DxYsXiWlSVlbG7du3iZ1flmnTpqGlpQWvvfaa3LKxhoYGImvYGXR0dFBaWkr8gZqPGVnKi6msrMT27dvx119/ISoqCjk5Obh16xYcHR2J6AkODoZEIoGfnx+xRENHOv6+m5ubiS7So7wYvhlP9OjRQ24+p7i4uNtnvhQy2GcyaMrKymhsbIS6ujoqKysJq+IXJiYmePr0KRwdHWFnZ4eePXvigw8+IC2LN3h6eiIoKAgqKiqwsbFBdXU1XF1dOe9t5mvbzooVK7B27VocPnwYf/75J9zd3bFjxw7SsjBjxgwcPXoUQqFQznGC66VaDx8+xIgRIzpVGc6cOYOCggJOtchSX18Pa2trTJgwQe7z4brSwMeMLOXFbNmyBWZmZjh58iQAYMSIEfD29iYW7AOdK1akMTExwaFDh9DS0oKMjAxERETA3NyctCzKc+DTBmagPZnm6OjIXgfT0tIQHBzcredUyJ79lStXYu/evQgPD8etW7fQv39/iEQiREREkJbGSx49egSRSIRRo0aRlsIbhEIh4uPjcf78efz666/YvHkzFi5cyJsbCh8IDw9HVlYW/vjjDwQGBmLixImkJcll90gu1bKzs0N0dHSngS+JRAJra2vOh3Z37NgBHx8fxMXFoaWlpVP2kQ+tT5TnU1lZiZKSEhgZGRHTYGdnh9jYWPb6CAA2NjZISEggpgloD458fHyIV6yA9lmY8PBwpKamQiqVwtzcHC4uLkR85CkvR0hICLuB+fz586iuroazszOxNlkAKCgowK+//grg//dudCcK+e08fPgwlJWV4enpicTERIhEIgiFQtKyeEdjYyMeP34MsVgMJSUl5OXlcb7ki68wnui//fYbpk+fjj59+vBmUp8ksm0Xb731Fs6dO4epU6eiqakJaWlpxDOyfFmuxfymOqKkpNRpgyQXZGRkAGgP6kkMmj+PtLQ0XLt2DQAwadIk4t8hBj4E14sXL0ZYWBikUimEQiH69u0LMzMzYraSHQPW2tpaXrSo8KViBbS3yLq5ucHNzY3zc3cFMz8ki7q6OoyMjGBnZ0fsviYSiVBUVITRo0cTOb8sfNrAzKCrqwtdXV3OzqeQwT7T26SkpESD/GcQFRWF3bt3o1+/fuyFgMSSLwamjFZYWAhvb2/iZTQ9PT2sWrUKDx8+xMaNG9HU1EREB9/o2Hbx2muvITc3F7m5ubT9QoampiY0NjZ2ah+qr69HS0sL53pkAzI+BGcMX3zxBVJTU1nXrb179+LWrVtYv349ET18C64bGhqgrq6OhIQEWFlZwcvLCzY2NsT0zJ49G/7+/qivr0dsbCxOnjwJe3t7IlqA/69YWVtbY+7cuUTnYaKiop77Ptd2sgyampq4c+cO+xtLSUmBuro6zp07h5ycHGzZsoVzTWlpafD394eysjJSU1ORnZ2NAwcO4NChQ5xrAfizgdnb2xuhoaGwt7fvMinUnZUGhQz2b968idDQUJSUlMhNML9Kq49fxLFjx5CcnIzBgweTlgKg3ZWDKaN5e3tDVVUVISEhxMpojJvC22+/jddeew1lZWXYuHEj5zoaGxuf+z7XvegnTpzoZOHIJ3JychAQEICcnBy5oJrrNh4LCwts2rQJISEhrLVlXV0d/P39MXfuXE61AO1D5vn5+ZBKpXJ/M5Cq6J0/fx5xcXFsNnb58uWwtbUlFuzzLbhmvsMZGRmYP38+lJSUiC5nc3Z2RmJiImpra5GWloZly5bBxsaGmB4+Vazu3LlD7NzPIycnBydOnGAfhBwcHLBixQpERkYSS4bu27cP0dHRcHZ2BgAYGhqiuLiYiBaAPxuYnZycAIDI9UYhg30/Pz+sXr0aRkZGtPXiGWhqavIm0Af4V0Y7evQobG1tMWjQIADtmyJJeKUbGxuzvecMJHvRAf4NxMkSGBiI9evXY/v27QgPD0dUVJScbzJXuLu7w8fHB9OmTcPw4cMBAIWFhTA3N8fatWs519PU1MTeWAHI/U2yote3b1+5B9ZevXqhb9++RLQA/AuuTU1NYWFhAbFYjM8++wy1tbVE72np6emwtraGtbW13DFSG+r5VLHim40sQ0VFhZyNY48ePVBdXY2ePXsSrYR03MZMUovsBuYFCxYQ28A8ZswYAPLGHIwbYMfP63+NQgb7vXv3hpWVFWkZvGbKlCnYtWsX5s+fL+f/TSrDx5cyGoNIJIKDgwP09PRgZ2eHDz74QO5z4gq+9KB3hC8Wjh1paWnB5MmTIZVKMXDgQHh6esLe3h4uLi6c6ujRowd2796NoqIidgu0gYFBtw9ZPYvU1FQi530RxsbGWLVqFfuQn5iYKGfJyXVbGN+Ca6ZKNXToUKioqKCurq7bXTmex65duzplz7s6xhV8qlg9y0aWgVSLo6mpKVxcXNgKTFJSEkxMTFBfX08swFZVVUVFRQV7z8/IyIC6ujoRLUD78kWSv6uOkHADVMhg38zMjBfDgnyGcVI4f/48e4xkho8vZTSGTZs2wcvLC2lpaYiPj8eOHTswa9YsBAUFEdPEJ/g0ECcLk4XV0NBATk4OtLS0UF1dTUyPjo4OsQBfEWAqU6dPn2aP3b17F3fv3iUyA9IxuBaJRESCgEePHgFo/z6/88477PEBAwZgwIABnOspKipCYWEhRCKRXFBbV1f3wlbD7oRPFauubGRltZCKR/z9/fHdd9/hwoULANqdXRYtWgQVFRV8//33RDR5eXnB2dkZpaWlWLZsGQoLC/HNN99wriMvL0/uN5WSkoLk5GQMHToUa9euJbZdvKCgAOrq6jh//jwmTpzIugF2Z7CvkNabkyZNwtOnT6GqqoqePXuyLQ+0Z78diUSCn376CTNmzCAthUUkEmHHjh1sBtLc3BybN28m0oLRkQcPHuDYsWNISkrC3bt3iWjgSy86w7MyeaQtHCMiIiAUCpGdnQ0PDw9IJBKsW7eO8/0IFMWkoKAAgwYNQq9evXD16lXcv38fDg4O0NDQ4FTHsmXLALS3M+7bt4/Tc3dFXFwcYmNjcefOHbbVAGjPiDo4OPDqXkJRDOrq6nDz5k0A7RU+Eu17H374IQ4ePIiBAwciOzsbTk5OcHNzQ25uLnr06EFsd4ylpSWSk5Oxbds2TJkyBTNnzux2i1uFDPb//PPPLo/zqUedNKSHmfjO06dPkZycjNjYWNTX18PW1hY2NjZ48803iehZtGgRPDw8OvWic92eoki0traiubmZWHaG8myqqqrQp08ftl//+vXruHDhAoYOHYolS5YQ65O3sbFBdHQ0Hj9+DCcnJ0ydOhXl5eXEXEL4RmxsLOzs7EjL4D1Xr16V80ifOnUqMS2VlZU4ceIESkpKWEtpgGwV9sGDBxgyZAhbFW5oaMCff/6JkSNHcqrDysqKnT3bvXs3GhsbsXXrVojFYtjY2HC+D4XBw8MD9fX1ePjwIZKTk6GkpAQHB4duDfYVso2nY1B/48YNxMTEICQkhJAi/qGvr4+srCyMHTuWtBSW9PR0FBcXy12QSNmVzZ07F7Nnz4afnx/RdiIGvvSiM7S1tSEmJgb379+XG6QmPaTW0cK1rKwMDx48IGbhSukad3d37Ny5E8OGDcPDhw/h7OwMGxsb/PDDDygtLYWvry8RXUpKSlBRUUFaWhocHR1ZXVzD1/5vOzs71NXVoaCgQO53/+677xLRw0fCw8MRHx/PWl3u2LEDQqGQWHVx7dq10NPTw+TJk4kOm8vi4+Mj17rXo0cPbNq0CbGxsZzqkJ3H+f3339l4Q1lZmehnRcINUCGDfQAoLy9nS48CgYAO7Hbg7t27cHR0hI6OjlzPNSmrSx8fH9y5cwcGBga8uCD9+OOP6N27N2kZLHzrRff394dYLEZGRgYcHR2RnJwMExMTYnoY+GbhSuma2tpaDBs2DABw9uxZzJ07F4GBgWhubibq297c3IyKigpcuXKFtf8kUdxm+r9bWlqQnZ3Nbjd/8OABxo4dSyzYT0lJwc6dO1FbW4uBAweiuLgY+vr6tEosQ0JCAr777ju2orhs2TI4OjoSC/Zra2uxbds2Iud+FmKxWM4hqGfPnnI26Vyhra2NqKgoaGlp4e7du6yrVEtLC1pbWznXw9C7d2/MmjULLS0taGxsRN++fbv9gVqhgn2xWIzU1FRER0fj9u3bmDNnDurr63H16lXS0ngHiUUaz+PWrVtITk6WuwCQhE+BPtDu215dXQ0XFxc4OjqyveikyM7ORlJSEqysrODq6orFixdj9erVxPQw8M3CldI1si4gt2/fZv2+e/Xq1WlLK5c4OTlh7ty5mDx5MgwNDVFSUkLEJeTEiRMAgA0bNsDX1xfjxo0DAGRlZSEyMpJzPQyHDh1CbGwsVq5cifj4ePzyyy/s4Cfl/5FtHSTdRjhy5EiUlZURsY5+Fj169EBJSQmGDh0KACguLiaS5AsICMBnn32GsrIyfPbZZ+xsTnp6OtE5lIsXLyI4OBjl5eUAwInVtkIF+++99x50dHSwZMkSfPXVV+jduzdmzpxJWhYvYXxcq6qqiLg7dERbW5u0BF7z0UcfAWh3msrMzCTei87YkCorK6OxsRHq6uqorKwkpoeBbxaulK5RU1NDWloatLS0cPPmTXYQTiKREH04c3BwgIODA/t60KBBiIiIIKbnjz/+YAN9ABg7diwePHhATE+PHj3w+uuvs1nYqVOnYvfu3cT08JExY8Zg8+bNWLBgAYD2arnsUDPX1NbWwtraGsbGxnL20SR79tesWQNHR0e2QpWWlkbE9WrQoEEICwvrdHz69OlE3RxDQ0Px5ZdfcrorSqGC/YkTJyI9PR0///wztLS05BYTUOT5/fffsX79ekgkEqSlpSE7Oxvff/895+U+ZsX48OHDsWLFCsyaNUsu60eqZ5+PFBcXo7i4WK7cSeqCpKGhgZqaGkybNg3Ozs7o378/LzJHfLNwpXSNn58fvLy8UFZWBnd3d3ZhzJUrV4gGRo2NjQgLC0NJSQn27NmDwsJCFBQUYNasWUT09OnTBwkJCezcQGJiIudbs2Vh3O10dHRw4sQJDB48GA0NDcT08JGtW7fi4MGDbPA6ZcoUolVPS0tLWFpaEjt/V7z//vs4ceIEO8Ts4uJCLYpl0NDQ4HzOTOHceGpqapCUlISYmBjU1NRAJBIhJiaGLRdR2lm0aBGCg4Ph5eXFeu7Pnz8fZ8+e5VTH5s2bn/s+1wOfL/KMJnWj3bNnD86cOQM9PT32SV8gEOD48eNE9EgkEigpKUEikSApKQl1dXUQCoXES9ZdWbj6+vrKzaVQKM9i06ZN0NTUxJUrV3D27FnU19djyZIl7DWSa/Lz8+Ht7Y28vDwA7Q+zO3fuhJ6eHhE96enpGDNmDCorKxEYGIi6ujps3LgRU6ZMIaKHQvknEhYWBnV1dVhYWMhVY7oz/lC4YF+We/fuISYmBsnJyRg+fLjc9Perjr29PWJiYiAUCtkbmezfXCMSiToFil0d62709fXl2kA6QsrXfvbs2YiLiyMeTOfk5MDX1xcFBQUwMDDAjh07ePEg/dtvv8m9Zi5bzL8ldQuhvAzMNVD2WmhtbY3ExESiukQiEQDy/d+UZ3P48GGoqqp2qkZHRUWhoaFBbuEXF0RGRsLJyQm7du3q8v1PP/2UUz0A4O3tjdDQUNjb23d5n6VGCu3o6+uzfwsEAtqz/yIMDAxgYGCATZs24dKlS6Tl8IqePXuivr6e/cHl5eXJPUFyzbJlyzo5OnR1rLvJyckBABw8eBA9e/aEg4MDpFIpzpw5Q3Q6X1NTkxc3+sDAQAiFQkydOhXnzp3Drl27sH//ftKy5JafPHz4kM18MhdJehOhvAyyLYRAuzsP6XwXn6wuuwoc1dXVYWRkxDqZvKpcuHABp06d6nR8wYIF+PDDDzkP9pn7OZ+qmk5OTgDaK2h8QyQSoaioCKNHjyYthY1DuEShg32Gnj17wsLCgrQMXvHJJ59g5cqVePLkCXx8fHD16lWEhoZyrqOtrQ2tra2QSCRoampib6yk17D/8MMPcg8aK1euhJ2dHT755BMieoyMjLBhwwbMnTtX7qGM6579hoYGLF++HED7kBUJD/KuiImJYf8WCoU0uKf8R5iYmODQoUNoaWlBRkYGIiIiYG5uTkwP36wuKysrcf36dXaG4fLlyzA0NMS5c+cwb948uLm5EdHFByQSSaeHRaDzAyRXLFq0CACwYsWKTomiR48ekZCEHTt24F//+hfS0tLg7e1NRENXpKWlwd/fH8rKykhNTUV2djYOHDhAdJleQUEB8vPzMWvWLNTX16O1tRX9+vXrtvNxMwZM4Zzp06cjNDQU7u7uMDQ0xMmTJ4n0XR46dAjGxsZ48OABjIyMYGxsDGNjY1hYWBDdjdDU1ISioiL2dXFxMdGHj+zsbJSXl+PEiRMIDw9HeHg4jh49yrmOjvZoXDkF/B2e14ZF4QdLly4FACIJhufh6ekJqVQKVVVVhIaGYuzYsVi7di0xPYzVpY6ODi5cuIDw8HAYGhoS0/PkyRPExsZi8+bN2Lx5M2JjY1FVVYWTJ0+ym0hfVerr6+UWQjK0trYSvXesXbtWztThyZMnnFcZGCorK1FdXY2ff/4ZTU1NaGxslPuPFPv27UN0dDT69u0LADA0NERxcTExPbGxsXBzc2NnFsvKyti9H93FPyKzT+kabW1tdhFSx63DXLFmzRqsWbMGQUFB8Pf3J6KhKzw9PbFw4ULWGeTevXtEF5MwvtukefDggVy5vra2lt3sKxAIkJ6eTlAdRVGQvemvXbu2U6sMqUF4FRUVuLm58SZDzTery7KyMtaLHAD69u2L8vJyqKmpEctg8wUzMzPs2LEDmzdvZpMiEokEoaGhmDZtGjFd06ZNg4+PD0JDQ1FVVYWVK1fCw8ODiJY5c+ZgxowZaG5uhpGREQDuetJfBOMIxkDy+3z8+HHExMSw8x8jRoxARUVFt55T4YP9yspKlJSUsF8sSjvXr1/Hxo0b2eVRzc3N2Lt3L+d2Twx8CvSB9ovShAkT8PvvvwNob6MhsY+AWTzCuHF05K233uJUz8WLFzk938si+/k0NzcjPz9fLoDk+nOiPB/mpt/S0sKLmz5jAfwsSFkA883qUk9PD1u3boWdnR0AIC4uDnp6emhpaeFllY9LPD094eLigtmzZ8PAwABAe5JIW1sbR44cIabr448/RnBwMD7//HPcuHEDLi4umDNnDhEtnp6e8PT0xJIlS174m+MSVVVVVFRUsFXhjIwMIsv0GFRUVKCqqip3rLuXjimkG8/ixYsRFhYGqVSK+fPno2/fvjAzM+PlUAgprK2tsWXLFnYXwfXr1xEUFETcdYJPcN0z1xWurq4ICwvrsm9YIBDg8uXLnOrhK8/rq6afE3/hy02fbxbADHyzuhSJRDhw4AAyMjIAtC9ndHd3R58+fVBbW8uLBY2kSU9Px927dwEAo0ePJja4LJsAEYvF8PX1hampKezt7QGQSYAsXboU//rXv7Br1y4ibkDPIisrCwEBASgtLYW+vj4KCwvxzTffENv54ezsDF9fX2zYsAFxcXFISEhASkpKlwvA/lcoZLDP2KYlJCQgNzcXXl5esLGxeeV7CmXpyk6ODxZzfCEuLg5hYWFobW3F5cuX8fDhQwQFBeHbb78lLY1C+cfBZKv55BxCkUcsFiMgIIDIplPK34ePCZB58+bh5MmTWLFiBU6fPs2b9j2g3RTk5s2bAABjY2O2f58EBQUF2LhxIx4+fIgBAwagd+/eOHToEIYNG9Zt51TINp6WlhYA7aWY+fPnQ0lJqdtLIIrG1KlTkZiYCGtrawBAUlIS3nvvPc517NixAz4+PqybA1+IjIzkvGfuRTQ2NuLx48dyw1bEvb5nAAAgAElEQVS0PYWiyJSUlGDjxo24f/8+BAIBDAwMEBoaSmx3Q8cNuvn5+cQ26GZlZeHYsWNshnbkyJH4+OOPiQ3oKisrIzc3l8i5KX8fZrEgn+Bb+54s6urqmDx5Mnt/bWxsJPLwIZFIUFxcjDNnzqCwsBBSqRS6urrdHsMqZLBvamoKCwsLiMVifPbZZ6itrX3l+wk7EhcXh4iICGzZsgVA+wNSv379EBsby+mgJXOew4cP8yrYJ9Ez9zyOHz+OL774AhoaGnIbdElkZyQSCR48eCC3+INC+U/w9/fHwoUL2daC2NhY+Pv7IyIigoiewMBAaGpqsj7X2tra2LhxI+fB/q1bt+Di4oJFixbB0tISUqkUWVlZWLlyJY4cOYJx48Zxqodh0qRJCAoKglAolKvC0KQD/+DjNni+9uxfvHgRwcHBKC8vBwCiDx9KSkr48ssvMX36dE43ZStksB8QEICcnBwMHToUKioqqKuro6XHDsj6kpNES0sLVlZWKC0txYcfftjpfVJ+6f369UNBQQE7sJOQkABtbW0iWoD2SsP58+ehpaVFTAODkpISvL29aVsc5b+mqqpK7ndvb2+P48ePE9OTm5uLnTt34ueffwbQPrgnkUg41xEeHo6QkBDMnj2bPTZ79myMGzcOYWFhOHjwIOeaAODs2bMAgB9//JE9Rmdi+ImxsTGbNe8I6Sx6VFQUGhsbIZVKedG6Fxoaii+//BJGRka8SAzr6+sjKysLY8eO5eycChXsM4silJWV8c4777DHBwwYQAeHOkDKarMjBw4cwL179+Dt7c2rgR1fX19s3LgRBQUFMDc3Z3vmSKGtrc2LQJ9BR0cHpaWlGDJkCGkpFAVGSUkJDx8+xIgRIwC096qSrKDxZYNuXl6eXKDPMGvWLKK7CfjYGsI3Dh8+jIULF7JmDtXV1YiJicGqVas41UFiC+vLkJSUhP3796O4uBgCgQBDhgzB2rVr2ZZiEmhoaBBzIuyKu3fvwtHRETo6OnIPQ92Z/FSoYJ9x2+nfvz/27dtHWA2/mTRpUpfLh7j2SVdRUWGzVbq6upye+3no6up26pmrrq4mpmft2rXw8/PD9OnTiW7QZaivr4e1tTUmTJggdzH66quviOihKCZMSZ9JzuTk5GDXrl3E9PBlgy5jifx33+OKyspKNDc3s68HDRpEUA2/OHv2LFxcXNjX/fv3R3JyMufBPh85c+YMIiMjsWXLFrZn/9atW9i9ezeampqwcOFCTvUwrU6zZ8/GyZMnYWFhIXd/JTUwzLRXc4lCBft8WTykCMi28TQ3NyMpKQk9epD759bW1saePXvw66+/AmgfIHZzcyPyYysvL0dZWRn09fWhp6eHqqoq7Ny5E3Fxcfjtt9841wMAV65cwZUrV1BYWCjXs08q2Le2tiaaiaH8MzAzM8PZs2fZfRbjxo0jWoX19PREeHg4u0HX3NxcLnDjitbW1k67ImTfI0V6ejp8fHxQWVkJJSUl1o6YLtP7f7r6N5M1VeCanJwctrWZMS8BQKSNJzIyEkePHpWrUk+fPh2jRo3CqlWrOA/2O7Y6BQUF8WJgmLFE59KlTCGtN1euXImlS5dixowZXWavKV2zcOFCfP/990TO7evrC7FYzP7YmXIV1/7WZ86cwWeffQYNDQ0MGDAAHh4e8PHxwXvvvYcNGzZ0q/XV8zA3N0dKSgovsnoUCqV74aNtIgDY2dlhz5498PT0RFxcHKKjo1FaWgpPT08ievjIunXrYGxsjBUrVkAqleLbb7/FjRs3cODAASJ6Fi1aBA8PD2zfvh3h4eGIioqCqqoqkYfY+fPns3Mff+e97kIikfCiR78jJFzKFCqzz+Dg4IDIyEgEBwfDwcEBCxYsQP/+/UnL4jUlJSWorKwkdv7s7Gy5gc/x48cTyRx/++23iIuLw8iRI3Hjxg0sX74ce/bswdy5cznXIsvQoUOJVl46UlhYiM2bN6OsrAypqam4e/cuUlNTsXbtWtLSKJT/mKamJiQnJ6O4uBhtbW3sca7nifjcG6+rq4u2tjYIBAIsWLAAdnZ2NNiXwc/PD97e3ti7dy8EAgGMjY2Jtqa1tLRg8uTJkEqlGDhwIDw9PWFvb08k2G9ra4NIJIKamprc8draWrnfG1fY29sjLi6O8/O+CBIuZfyJLv4Gc+bMwZw5c5Cfn49Tp07B0tISU6dOxfLly4ltROMbsj37EokEbW1t8PX1JaqpoaGBLVe9yDasu+jRowdGjhwJAJgwYQKGDh1KPNAH2gdinZycMGvWLLkhQmYPANcEBgbCzc0Ne/bsAQC88847+PTTT2mwT1Fo1qxZAyUlJYwePbrTsC4FbMJBS0sLqampGDx4MGpqagir4hdaWlo4fvw4bxbFMQPvGhoayMnJgZaWFrH5M1tbW6xevRpBQUEYPnw4gPah/ICAANja2nKuh6+NKyRcyhQy2GdgglkVFRX06tULmzZtwrRp0+Dj40NYGXmYnv2amho8ePAAb731FtEHISsrKzg4OGD+/PkAgJSUFNjY2HCuo2OvrJKSktxrUn7Sra2tGDZsGB48eEDk/B2pq6uDmZkZ9u7dC6D9c1JRUSGsikL57/jrr784byVQJJYvX46amhp4eHhg48aNqKurw+bNm0nL4gUlJSUYOnQouwStI6TuHRYWFqiuroaLiwscHR0hkUiwbt06IlpcXV0hFoshFArZh+nW1lasWrUKrq6unOtpaWl55mwMQO7fjIRLmUL27F+4cAFRUVGoqKjAkiVLIBQKoaqqira2NsyZM4fXJdLuxsvLC6tWrYK+vj6ePn0KGxsbqKmpobq6Gp6enliwYAExbT/99BM76DV58mSYmZlxroGvvbJ8Y+HChYiKisLChQsRFxeHsrIyuLm5ITY2lrQ0igIRERGBDz/8EOrq6vD29kZ2dja2bNlCZJs3AKxfvx6+vr4YOHAgkfPzna5aMLo69iri6uqKsLCwLu8hJO4d+/btg6mpKcaPHy8XWDc3NxP/92ppaUFRURGkUimGDx9OrIo2ZswYaGlpPXMXAan7/U8//YRNmzZ1cinrzuuiQgb7rq6uWLp0KaZNm9bpvdTUVCJWanzBwsICKSkpANon49PS0nDs2DE8fvwYrq6uSEhIIKyQIsuNGzcwYcIEpKWldfk+KTee+Ph4nDt3Drm5ubC3t0d8fDw8PT1haWlJRA9FMbGyskJSUhKuXbuGI0eOwN3dHcHBwcQeGvPy8thkiKwFH7WUbcfW1rZTj3NXxyjk2bZtGzIzM1FSUgJDQ0NMnDgRpqamMDIyoi1q/0YoFCI+Pp60jC6pqqri1KVMIdt4wsLCALR/WB0/oFc50AcgdwO7ceMGuwZeW1ubOhfxkLi4OEyYMAHh4eGd3iNpvSkUCjFkyBBcuXIFjY2N2LlzJ0xMTIhooSguTGk6IyMDVlZWGD9+PNE+2k8//RTm5uYwMDAgutyLb7S1taG1tRUSiQRNTU3sv1FdXR2x+Sq+UlBQgEGDBqFXr164evUq7t+/DwcHB2hoaHCqY+vWrQDa46DffvsNmZmZ2LZtG0pLSzF27FhERkZyqofyYnbs2MG2md+/fx/vv/8+Z+dWyGA/KysLHh4ekEgkSEtLQ3Z2Nr7//nts27aNtDReUFZWBg0NDWRmZsr17skuSaHwg+DgYEgkEvj5+UFfX5+0HDlMTExogE/5r+jduzcOHz6Ms2fPIioqClKplKiPfGtrK/z9/Ymdn68cOnQIX3/9NQQCAbsMCQDU1NTw0UcfEVTGP9avX4/o6GiUlJQgICAAU6dOxaZNm4htYB8wYADee+899O7dG7169cLly5fx+PFjIlr4Bp+25gLtSQ+G3bt3Y+rUqZydWyGD/ZCQEBw5cgReXl4AAENDQzqU+29cXFwgFAqhoqKCCRMmsAMot2/fplsQeYqSkhK8vb3lrElJsW7duudWgGi7A+XvsH37dpw8eRJeXl7Q1NREcXExrKysiOkxMjJCbm4u3n77bWIa+MiaNWuwZs0aBAUF0YehF8CYFaSlpcHR0RHOzs5EzCbS0tKQmZmJ3377DS0tLRg/fjxMTEywYsUKOpPyb/j2XZatanJd4VTIYL+1tbXTFDV1Cmln3rx5MDExQUVFhVym+M033yRS+aiqqkKfPn3YTbnXr1/HhQsXMGTIECxdupSW0v+Njo4OSktLMWTIEKI6uCwrUv7ZiMViHD16FMHBweyxYcOGEXHlYMjKyoK9vT10dXXlWh6ZJX+vOkxwVFtbi8zMTAwZMoR3FUfSNDc3o6KiAleuXMH69esBkLF4dHV1hZGREdzd3TFt2jReLY+ie1q6RtYdqCunoO50B1LIYL9nz56or69nM5B5eXlyF+5XHU1NTWhqasodk11fzSXu7u7YuXMnhg0bhocPH7JZkEuXLuHRo0fU1u3f1NfXw9raGhMmTJDzbeY6k07CC5nyz0RZWRm5ubmkZcjh5+dHWgIv4bOLG99wcnLC3LlzMXnyZBgaGqKkpATq6uqc60hKSkJmZibi4uLw+eefY9iwYTA1NYWpqSkMDQ2JJtLonpauaWpqgrOzM/ta9u/udgdSSDeetLQ0fPPNNygpKcG0adNw9epVhIaGYsqUKaSlUToguyJ7//79ePToEbZv347m5mbY29sjOTmZsEJ+8Cy3C66D78jISDg5OT1zIyTXm0Ypis2ePXtQX18PoVAo9xBLyt+a0jXUxe0/h1laSdoBJz8/H9euXcOJEyfw5MkT3Lx5k5gWe3t7xMTEyLnhkHTGuX37ttwsyquIQmb2x48fj9DQUFy9ehVSqRRubm7Q0dEhLYvSBbIXwNu3b0MoFAJodw1itjW+yojFYrS0tHQK6hsbG4ncPJgKGemtkJR/BsyD/o8//sgeI+lvXVdXhyNHjuD+/ftyhgXdvb2S71AXt5cnJSUFZmZmUFNTw5dffons7Gxs2LABo0eP5lyLRCLBnTt3kJmZiczMTNy4cQMaGhr44IMPONcii7KyMlpbW9nvTllZGdE2o4CAACgrK2Px4sWwsrJ6JTtBFC7akkqlcHBwQEpKChYvXkxaDuUFqKmpIS0tDVpaWrh58yZ27NgBoP0iRd2B2ifyR4wY0alMnpycjIKCAs4z6YsWLQLQPrBHofy38G3Boa+vL/T09FBYWAgPDw/ExMQQCdL4CHVxezm++eYbWFhYICsrC7/88guWL1+Obdu24bvvvuNUh7OzM27duoW+ffvi3XffxQcffAB/f3/ic18AsHjxYqxZswbV1dXYv38/u6eFFAkJCbh+/TpOnjyJL7/8ElZWVli8eDGGDh1KTBPXKFywLxAI8Oabb6KmpoZzX1vK38fPzw9eXl4oKyuDu7s7O0tw5coVjBkzhrA68mRkZMDb27vTcTs7O9jY2BBtm/n55587ZUDpQwDl75Keno78/HwsXboUlZWVqK2tha6uLhEtRUVF2L9/Py5fvgxLS0vMmTMHy5cvJ6KFT1AXt5eHqUj/8ssvWLBgAaysrHDs2DHOdcyZMwf+/v68DFj5uKeFsZK+f/8+3NzcEBkZCTMzM3h7e0NPT4+oNi5QuGAfaM8W29rawszMTK7dgPYT8w99ff0u+/JnzpyJmTNnElDEL8RicZflTWVlZaLl8927dyM7Oxt5eXmYOXMmLl++jMmTJxPTQ1FMDh8+jLS0NJSXl2Pp0qVobW2Fr68vTp06RUQP0xqnoqKCp0+fQkNDA1VVVUS08Am+ubjxGYFAgJSUFKSkpODgwYMAQGR3BN+Hpvm2p+X69euIiorC77//jg8//BALFizAtWvXsHr1aly4cIG0vG5HIYP9kSNHYuTIkaRlUF6CvLy8577/qg/qNTU1obGxkbUmZaivr0dLSwshVe1D8HFxcbCzs0NQUBDc3d2xZcsWYnooiklycjJiYmLYwERbWxsikYiYnuHDh+Pp06ewsrKCg4MD1NXVaRvPv+GTixuf2bp1K44cOYIPP/wQQ4cORWFhISZOnEhaFq94+PAha6LS1tbGHidlcWtlZQVVVVUsXboUoaGhbHXGxsYGiYmJRDRxjUIG+7SVQHFwcXHpdEwgEKC+vh41NTW4f/8+AVX8wcLCAps2bUJISAjU1NQAtA8R+vv7Y+7cucR09ezZEz169IBAIEBrayu0tLToVkbK36Z3796ddqCQrlgBwEcffQRDQ0PU1dVh2rRpxPRQFA9jY2M2ow+0P0Bu3bqVoCL+sWHDBsydOxd2dna82KUTEhICQ0PDLt87evQox2rIoFDBfn5+PgoKClingJCQENTV1QEAli9fjnfeeYekPEoXdBzQa2hoQEREBE6ePIkVK1aQEcUj3N3d4ePjg2nTpmH48OEA2heSmJubE/UkVlVVRWNjI4yNjeHj4wNNTU307t2bmB6KYqKtrY3r169DIBBAIpHg0KFDvKjKtrS0sBn91tZW6gxGeWna2toQExPTaZ5p+/btBFXxC4lEgk8++YS0DBbmwb6goEDu3+zdd98lqIpbFMpn38PDA3Z2dpg+fToA4IMPPsDy5cvR0NCAe/fu4YsvviCskPIs2tracOrUKRw5cgTTp0/HmjVraIlYhqKiIty7dw8AYGBgQNxKtqKiAn379oVYLEZERATq6uqwbNkyOqxH+VuUl5dj06ZNyMzMhEAggImJCUJDQ/HGG28Q0XPx4kUEBwejvLwcQLu7m0AgeOUrjJSXx9fXF2KxGBkZGXB0dERycjJMTEwQEBBARA8ft9X6+/tj8eLFvNm+nJKSgp07d6K2thYDBw5EcXEx9PX1n7nf5p+IQgX7HZcyyL5esmQJoqKiSEmjPIf4+Hh8/fXXGDNmDDw8PIg5cVBeDrFYjICAAAQHB5OWQvmH0NjYCIlEAlVVVaI6Zs+ejZ07d8LIyIio7zdFcbGyskJSUhL7/7q6OqxevRonTpwgomfFihX4+OOPsWfPHiQkJEAikcDKyordccEl9vb2EAgEaGtrQ15eHnR1deU87Un17FtbWyMiIgIrV65EfHw8fvnlF1y4cAFBQUFE9JBAoWqXYrFY7jWzihkAamtruZZDeQmsrKzQ0NCAtWvXYsyYMRCLxXJDu6/6gC4fUVZWRm5uLmkZlH8Ajo6OOHXqlNwAOnOMBBoaGhg/fjyRc1P+GTDBq7KyMhobG6Guro7Kykpieurq6mBmZoa9e/cCAJSUlDrNyXDFpk2biJz3RfTo0QOvv/46G0NOnTqVnd95VVCoYL+1tRUikYgdZGS8UUUiEVHnEsqzqa+vBwDs27cPAoEAsoUkkps0Kc9n0qRJCAoKglAolLO3pQ9nlL9DU1OT3GuxWIyamhrOdTQ2NgJoz+yfPHkSFhYWchnHjm5YFMqz0NDQQE1NDaZNmwZnZ2f079+faEsqn7bVxsfHIyQkhMi5n0fPnj0hlUqho6ODEydOYPDgwWhoaCAti1MUqo1n//79+OOPP+ScS0QiEbZs2QJdXV14eHgQVkihKDa+vr4ICQmBubl5p/fowxnlZQkPD0d4eDhEIhHU1dXZ401NTbCysuK8fK6vr98p2cBAe/YpfwexWAxlZWVIJBIkJiZCJBJBKBSyMQnXxMfH49y5c8jNzYW9vT27rdbS0pJzLba2trzsg09PT8eYMWNQWVmJwMBA1NXVYePGjZgyZQppaZyhUMF+W1sbfHx8cPnyZTnnkpkzZ2LHjh3UUUFBaGlpwfnz5xETE4PIyEjScigy8PViTVEs6urqUFNTg23btsHf3589rqamRjefUyj/Y65fv44rV65AKpXC3Nyc2DIrev/gLwoV7DPwzbmE8nJkZWUhOjoaFy5cgKGhISwtLSEUCknLoshAL9aU7qKyshIlJSUwMjIiLQW1tbXIzMzEkCFDeOMYQuE3zPDpsyA1fMonRo8ejb59+3Y6zrhepaenc6pn165dz33/008/5UgJeRQyFa6jo0MDfAWhqqoKiYmJiImJQWtrK4RCIfr06YPw8HDS0ihd8ODBA0yePLnTcVIXa4pis3jxYoSFhUEqlUIoFKJv374wMzPjfJDPy8sLq1atgr6+Pp4+fQobGxuoqamhuroanp6e7IZfCuVZ8HX4lE/baocPH47Dhw9zft5nwcybFRcX47fffsPs2bMBAJcuXXqlPPYBBQ32KYqDmZkZTExM8Nlnn7EuGGfOnCGsivIs+Haxpig2DQ0NUFdXR0JCAqysrODl5QUbGxvOA6d79+6xGfyEhATo6enh2LFjePz4MVxdXWmwT3khBgYGePr0KYYMGSJ3vLS0FP369SOkil/banv27InBgwcT1SDLmjVrALQvXY2NjUX//v0BAG5ubq/cjCcN9indipOTExITE7F3717Y29vjgw8+IC2J8hz4drGmKDaMS1pGRgbmz58PJSUlIgGJrPPOjRs32C3s2traz23NoFAYdu3aBTMzs07Bfk5ODn766Sdinu182lZLyvLzRVRUVLCBPgD0798fFRUVBBVxD90qQulWvL29kZaWhpUrV+Ly5cuYMWMGqqurce3aNdLSKF3A14s1RTExNTWFhYUFbty4AVNTU9TW1hKzBSwrK0NTUxMyMzNhamrKHm9ubiaih6JY3Llzh31IlGXWrFm4ceMGAUXtGBkZIScnh9j5Zfn+++9JS+iSt956C35+frh16xZu3bqFrVu3vnI20go5oEtRXCorK5GQkIC4uDjU1NTgp59+Ii2JQqF0E1KpFDk5ORg6dCjU1NRQVVWFx48fw8DAgFMd586dQ1BQEFRUVGBoaIgDBw4AAG7fvo39+/fj6NGjnOqhKB7MxtyusLS0RHJyMqd6+Lqtlo+IRCIcOHAAGRkZAICJEyfC3d2dmF0qCWiwTyFGVlYWxo4dS1oGhULpZiorK+Uy6IMGDeJcQ3l5OSoqKljPfaA92y8Wi4nooSgWlpaWOH78OAYMGCB3vKqqCsuWLcPZs2c51ZOZmfnc92WrVxQK7dmndCtRUVHPfZ8G+xTKP5f09HT4+PigsrISSkpKaG1tRb9+/Yi4OmlqakJTU1PuGMnNpxTFYsGCBVi3bh0+//xz1g2wqKgIW7duJTLgzddttXzi3LlzmDdv3jPjkCVLlnCsiBw02Kd0K3fu3CEtgUKhECI0NBTffvstPD09ERcXh+joaJSWlpKWRaH8bZycnFBVVQVra2u2Xaa5uRkrVqzAihUrONdDtz6/mD/++APz5s2jcQhoGw+FQqFQugk7OzvExsbK9TQzxygURaShoQF5eXkA2gc/GS93rqELEF8OiUSCq1evYvr06aSlEIVm9indjkgkQmJiInuBHDVqFCwtLV+p4RgK5VWkR4/2W4yWlhZSU1MxePBg1NTUEFZFofznvPbaa7xoP6ULEF8OJSUlfPnllzTYJy2A8s+mrKwMixYtgpaWFgwNDSGVShEfH4+wsDB89913tGeWQvkHs3z5ctTU1MDDwwMbN25EXV0dNm/eTFoWhaLw0AWIL4++vv4rbwhC23go3Yq/vz/eeOMNrFu3Tu74119/jbKyMmzbto2QMgqFQqFQFBPaxvPyWFtbIz8/Hzo6OnJtV6+SPSnN7FO6levXryMxMbHTcVdXV1hbWxNQRKFQupu0tLTnvv+ql9QplP8WugDx5dmyZQtpCcShwT6lW1FWVmb7dmVRUVHp8jiFQlF8XF1dMWrUKPTr1w8di8cCgYAG+xSF5sqVK3j//fef+ZoL+Lqtlk9s2LABe/fuhampKeLi4mBra0taEjFotEXpVp4X0NNgn0L5Z+Lu7o6zZ8+iX79+sLOzg5mZGZSUlEjLolD+J1y+fFkuuO/4msIPHj58yP59/PjxVzrYpz37lG5l9OjR6Nu3b6fjUqkUIpGI+t9SKP9gMjIyEBcXh5s3b2LWrFlYsmQJBg8eTFoWhUJ5BZCda3jVZxxoapXSrVy8eJG0BAqFQoiJEyfC1NQUFy9eREBAAAYOHEhkARGF8r+koKAA+fn5mDVrFurr69nN0BR+UVdXx84PiUSiTrNEr1I7Ic3sUygUCuV/Tn5+PmJjY3H58mUYGxtDKBRi4sSJpGVRKP8VcXFxCAsLQ2trKy5fvoyHDx8iKCgI3377LWlplA4sW7bsme8JBAIcP36cQzVkoZl9Srfy8ccf49ixYwCAwMBABAYGsu+96mU1CuWfyoIFCyCVSmFra4uoqCjW7q6xsREA0KdPH5LyKJT/mMjISMTExGDJkiUAgBEjRqCiooKwKkpXnDhxgrQE3kCDfUq3UlVVxf79+++/y71Hi0oUyj+T7OxsAMCdO3cQHBzMHme2e96/f5+UNArlv0JFRQWqqqpyx5SVlQmpoVBeDhrsUzijKws+CoXyzyMnJ4e0BAqlW+jXrx8KCgrY+1dCQgK0tbUJq6JQng8N9indimxAT4N7CoVCoSgyvr6+2LhxIwoKCmBubo7evXvj0KFDpGVRKM+FDuhSuhVZ683a2lr2b2q9SaFQKBRFRCwWo7CwEFKpFLq6urSNh8J7aLBP6Vb+/PPP575PPbcpFAqFoigUFBRg0KBB6NWrF65evYr79+/DwcEBGhoapKVRnsGTJ08QHByMjIwMAMCkSZPg5+eHgQMHElbGHTTYp1AoFAqFQnkJbGxsEB0djcePH8PJyQlTp05FeXk5beXhMStWrICJiQkWLFgAAIiJiUFmZuYrZZdKe/Yp3YqHh8dz3//qq684UkKhUEhQXl4OTU3NZ76mUBQJJSUlqKioIC0tDY6OjnB2doaNjQ1pWZTnUF5ejjVr1rCvV69ejbNnzxJUxD002Kd0KxcvXoSBgQGsrKxomZNCeQVxdnZGfHz8M19TKIpEc3MzKioqcOXKFaxfvx4AtZHmO8OGDUNRURF0dHQAAMXFxRg+fDhZURxDg31Kt/LDDz8gLi4O3333HUaNGgU7OzuYmZlBSUmJtDQKhcIBHQN7GuhTFBknJyfMnTsXkydPhqGhIYwdpY8AABEtSURBVEpKSqCurk5aFqUL1q1bB4FAgObmZtjY2GDChAn/1969x1RZP3Ac/zyAqEhTMzXToNSEtCScXbTyZ5ZmoiLgrTRHuMjmTCkv2crSnGViNjdNMy+Tue6cWuB2UGvUZumcGFaiQig65yVzE+QIcji/P5pnEoiA55wvnPN+bW7n+X5h+zCP+DnP832+jyRp//79GjBggOF0vsWaffjMnj17ZLPZtH//fi1cuFBPPPGE6UgAfKC8vFyS3E/SBfxFdXW1qqqqFBoaajoK/sNms9U7n5CQ4KMk5nFmHz7hcrlUUVGhyspKhYSEqFWrVqYjAfCykpISzZ07V4cOHZJlWerbt69WrFihO++803Q0oEm2bdtW5/iUKVN8nAQ3Ekhl/kY4sw+vKioqks1m086dOxUbG6uEhAQ99NBDpmMB8IEXXnhBcXFxSkpKkiRlZmYqKytLmzdvNpwMaJqFCxe6X1dUVGjPnj2KiYnR2rVrDaZCfa4u5/mvQNoghDP78Kq4uDj169dPiYmJateunY4ePaqjR4+65zkbAvivf/75R+PHj3cfJyUlaevWrQYTATfnvffeq3F89uxZLVmyxFAaNMS1S4YrKipkt9vVq1cvg4l8j7IPrxo3bpwsy1JxcbHpKAB8LCgoSH/99Zd69uwp6d8HEvG0UfiTLl266NixY6ZjoB7/Xc6TmJio6dOnG0pjBmUfXvX++++bjgDAkLS0NE2ZMkX33nuvXC6XDh8+rA8++MB0LKDJrl2z73K5dPDgQd16660GE6GxLMvSmTNnTMfwKco+vM7pdCo7O1sFBQWSpOjoaMXFxXGGD/BzQ4YMUXZ2tn777TdJUkxMDMUILdrvv//ufh0cHKxevXrVWMeP5ufaNftXTzoMHjzYcCrf4gZdeNXp06eVkpKi8PBwxcTESJLy8/NVWlqqjRs3qlu3boYTAvAWh8NRa6xt27YGkgAIVNduwRkcHKzIyEh3HwkUlH141ezZsxUbG6vk5OQa41u2bNH+/fu1evVqM8EAeF10dHStXTBCQkLUv39/vfvuu+61/EBL4XA4tHbtWu3evVuS9Nhjj2nGjBl8iEWzRtmHVw0fPlw7duxo9ByAlm/9+vVq3bq1xo8fL5fLJZvNpgsXLujOO++UzWZTRkaG6YhAo7zxxhtyOp2aOHGiJOnrr7+WVHuXHph3vS03r2LrTcBD6vuHBsC/2e12ZWZmuo+nTZumxMREZWZmstc+WqSDBw/q+++/dx8PGDBAY8eONZgI13PtlpuBjrIPr4qIiFBOTo5GjBhRY9xutysiIsJQKgC+4HA4dOLECfcTc0+cOKHy8nJJ4gZ9tFjl5eUKCwuTVPd9KWgexo4dq8rKylpLrBwOh0JDQw2lMoOyD6+aP3++UlJSZLfb3TfEHDhwQHv37tWmTZsMpwPgTXPmzNH48eN13333SZL++OMPLV68WJcuXdLIkSMNpwMab8yYMZo0aZLi4uIkSdu3b1d8fLzhVKhLenq6evbsqQkTJtQYz8rKUnFxsebPn28ome+xZh9ed/HiRWVkZOjw4cOSpKioKE2dOlXt27c3nAyAt/3999/Kz8+X9O/Wm506dTKcCLg5ubm5+vXXXyVJgwYN0pAhQwwnQl0SExP19ddfKygoqMa40+lUfHy8srKyDCXzPco+vMrpdNZ7GY1L+QAAwNPi4+P13Xff1Tk3ZsyYGvde+DuW8cCruIwGBK6CggK9/fbbKigoUGVlpXv80KFDBlMBjTd79ux65wNpZ5eW4vLly3I4HLVONl66dKnG76NAEHTjLwGabs+ePUpKSqo1npSUpJ9++slAIgC+8s4772jOnDmKjIxUbm6uUlNTlZaWZjoW0Gg5OTk6efKkYmNjNXTo0Fp/0PyMGjVKCxYsUFlZmXustLRUb775ZsDdM0TZh1c5nc5a6+UkKSgoiG05AT9XWVmpQYMGyeVyqUuXLkpLS5PdbjcdC2i0HTt2aOjQofr888/1448/qmPHjoqPj1dCQoISEhJMx0MdZs6cqdDQUD3++OPuv6chQ4YoKChIs2bNMh3Pp1jGA6/iMhoQuK7ek9O+fXsVFBSoa9euunDhguFUQOP16NFDs2bN0qxZs7Rnzx7ZbDYtW7ZMCxcuZD/3ZiokJETp6ek6fvy4/vzzT0lS3759FRkZaTiZ71H24VVXL6MtW7ZM4eHhkv69jLZo0aKAu4wGBJpRo0bpwoULSk1N1bPPPqvq6mq98sorpmMBTeZyuVRRUaHKykqFhISoVatWpiPhBiIjIwOy4F+L3XjgVVVVVXr99de1a9cu3XXXXZKkY8eOadiwYVq+fLlCQvi8CQSCK1euqKKiwv2hH2hJioqKZLPZtHPnTsXGxiohIUEPPfSQ6VhAg1D24RNcRgMCx9Wn5hYWFtaasyxLHTp0YL99tCjR0dHq16+fnn76abVr167W/JQpUwykAhqG06rwCS6jAYFj6dKlWr9+vVJTU+ucLy0tVXx8vN58800fJwOaZty4cbIsS8XFxaajAI3GmX0AgE9VVVVp1KhRysnJMR0FAPweZR8A4DUOh0OnT5+W0+l0j/Xu3Vvnz59nKQ8A+ABlHwDgFdu2bVN6errat2/vft6GZVnatWuX4WQAEDgo+wAAr3jyySe1detWde/e3XQUAAhYPEEXAOAVnTt3pujDbzidTm4qR4vEbjwAAK8YPHiwPvjgA8XFxal169bu8d69extMBTRNcHCwDh8+bDoG0Ggs4wEAeMWwYcNqjbFmHy3ZypUrdenSJY0bN05hYWHucT7Aojmj7AMAADQAH2DRElH2AQAeVVlZqdDQUDkcjjrn27Zt6+NEABC4KPsAAI9KSEiQzWZTdHS0LMvStf/NWJalQ4cOGUwH3JxffvlFRUVFmjp1qs6fP6+LFy/q7rvvNh0LuC7KPgAAQAN88sknys3N1blz55STk6PTp08rLS1Nn332melowHWx9SYAAEADZGVlacuWLe6bc2+//XaVlZUZTgXUj603AQAe9cgjj8iyrDrnLMvS7t27fZwI8Iw2bdqoVatWNcau914HmgvKPgDAo7755ptaY/v27dPq1avVsWNHA4kAz7j99tu1b98+WZal6upqrVu3Tvfcc4/pWEC9WLMPAPCagoICffjhhzp58qTmzJmjESNGmI4ENNm5c+e0YMEC7d27V5ZlaeDAgUpPT1enTp1MRwOui7IPAPC4EydO6KOPPlJeXp5efvllJSUlKSiI28TgHxwOh6qrq9WuXTvTUYAbouwDADxq8eLF2rlzp6ZPn67nnntOoaGhpiMBHpGbm1trLDw8XH369NEtt9xiIBFwY5R9AIBHRUdHKywsTKGhoTVuXnS5XLIsS7/88ovBdEDTTZo0SQcPHlRUVJQk6ciRI4qKitKZM2e0dOlSPfHEE4YTArVxgy4AwKN27dplOgLgFREREXrrrbd03333SZL++OMPbd68WStWrNCrr75K2UezRNkHAHhU9+7dTUcAvKKgoMBd9CWpX79+OnLkiHr16iUWSqC54m4pAACABmjbtq2ysrLcx1lZWWrTpo0k9ttH88WafQAAgAYoKirSvHnzdPToUVmWpd69e2v58uXq3r278vLy9Oijj5qOCNRC2QcAAGiEsrIySf/uxAM0d6zZBwB4nNPpVHZ2tgoKCiRJUVFRGj16tIKDgw0nA25OSUmJSkpK5HQ63WP/+9//DCYC6seZfQCAR50+fVopKSkKDw9XTEyMJCk/P1+lpaXauHGjunXrZjgh0DQrV67UV199pV69erkfEmdZlrZu3Wo4GXB9lH0AgEfNnj1bsbGxSk5OrjG+ZcsW7d+/X6tXrzYTDLhJw4cPl81mY/kOWhR24wEAeNSff/5Zq+hLUnJysg4dOuT7QICHdO7cmaKPFoc1+wAAj2ILQvirBx54QK+++qpGjhyp1q1bu8dZs4/mjLIPAPCoiIgI5eTkaMSIETXG7Xa7IiIiDKUCbt7BgwclSRkZGe4xy7Io+2jWWLMPAPCoI0eOKCUlRQ8//LD7Bt0DBw5o79692rRpk/r06WM4IQAEDso+AMDjLl68qIyMDB0+fFjSv1tvTp06Ve3btzecDLg5paWlKi4uVkVFhXvswQcfNJgIqB9lHwAAoAG2b9+u5cuX6+LFi+rSpYtKSkoUHR0tm81mOhpwXezGAwDwqAMHDigzM9N9/Morr2jatGmaNm2a9u7dazAZcHPWrVunzMxMRUZGym6369NPP9X9999vOhZQL8o+AMCj1qxZo549e7qPCwsLlZKSosmTJ2vTpk0GkwE3JyQkRJ06dXI/PffRRx9137QLNFfsxgMA8Kjz58/rgQcecB+HhoZq6NChkqRt27YZSgXcvNDQULlcLkVGRiojI0Pdu3dXeXm56VhAvSj7AACPunz5co3ja7cpvHDhgq/jAB4ze/ZslZWVae7cuXrnnXdUWlqqt99+23QsoF6UfQCARwUHB+vcuXPq3LmzJOmWW26RJJ09e1ZBQaweRcs1aNAgSf++p7ds2WI2DNBA/NYFAHjUxIkTlZaWpuPHj7vHSkpK9Nprr2nixIkGkwFNl5+frzlz5mj06NEaPXq00tLSWK+PFoGtNwEAHrdq1Spt3rxZbdq0kSRVVFQoOTlZaWlphpMBjZeXl6fU1FRNnjxZMTExcrlcys/P1xdffKENGza4Hx4HNEeUfQCAV5SXl6uwsFCS1Lt3b4WFhRlOBDTNzJkzNW7cOA0fPrzG+M6dO5WZmam1a9caSgbcGMt4AAAedeDAAUlSWFiYevToof79+7uL/o8//mgyGtAkhYWFtYq+JD311FMqKioykAhoOMo+AMCjFi9e7H49ffr0GnOrV6/2dRzgpl1djtbYOaA5YDceAIBHXbs69L8rRVk5ipboypUrKioqqvP9e+XKFQOJgIaj7AMAPMqyrDpf13UMtASXL1/Wiy++WOcc72k0d5R9AIBHlZaWKjc3V5JUVlbmfn31GGhpfvjhB9MRgCZjNx4AgEc9//zz9c5f+0RdAIB3UfYBAD5TWlrqfqIuAMD72I0HAOAzY8aMMR0BAAIKZR8A4DNcTAYA36LsAwB8hp1LAMC32I0HAOBRhYWF152rqqryYRIAAGUfAOBRqamp151r3bq1D5MAANiNBwAAAPBTrNkHAAAA/BRlHwAAAPBTlH0AAADAT1H2ASDAnTp1SrGxsXI6ndf9mqioKB0/ftyHqQAAnkDZB4AANGzYMO3evVuSdMcddygvL0/BwcGSpOeff15fffWVyXgAAA+h7AMAAAB+irIPAAFm3rx5OnXqlGbMmKHY2Fht2LBBUVFRqqqq0qpVq7Rv3z4tWbJEsbGxWrJkSa3vr6ys1PLlyzV06FANHjxYixYt0uXLlw38JACAG6HsA0CAWbFihe644w6tW7dOeXl5euaZZ9xzaWlpGjhwoBYtWqS8vDwtWrSo1venp6eruLhY3377rXJycnT27FmtWbPGlz8CAKCBKPsAgAZzuVz68ssv9cYbb6hDhw4KDw/XSy+9pOzsbNPRAAB1CDEdAADQcvzzzz9yOBxKTEx0j7lcLlVXVxtMBQC4Hso+AKDBOnbsqDZt2ig7O1tdu3Y1HQcAcAMs4wGAAHTbbbfpxIkTjZ4LCgrShAkTtGzZMp0/f16SdObMGf38889eywoAaDrKPgAEoNTUVH388ccaOHCg7HZ7jblp06bJbrfrwQcf1NKlS2t977x58xQZGamJEydqwIABSk5OVnFxsa+iAwAawXK5XC7TIQAAAAB4Hmf2AQAAAD9F2QcAAAD8FGUfAAAA8FOUfQAAAMBPUfYBAAAAP0XZBwAAAPwUZR8AAADwU5R9AAAAwE9R9gEAAAA/9X/o0b5OO/lVugAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "top20=top[0:20]\n",
        "top20.plot(kind='bar',x='title',y='no_of_seasons', color='red')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.091447,
          "end_time": "2021-02-25T06:30:15.307721",
          "exception": false,
          "start_time": "2021-02-25T06:30:15.216274",
          "status": "completed"
        },
        "tags": [],
        "id": "QNdS49Klom-L"
      },
      "source": [
        "Thus, NCIS, Grey's Anatomy and Supernatural are amongst the tv series that have highest number of seasons."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.093978,
          "end_time": "2021-02-25T06:30:15.493707",
          "exception": false,
          "start_time": "2021-02-25T06:30:15.399729",
          "status": "completed"
        },
        "tags": [],
        "id": "qit3OjDNom-M"
      },
      "source": [
        "# Lowest number of seasons."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "papermill": {
          "duration": 0.257679,
          "end_time": "2021-02-25T06:30:15.843434",
          "exception": false,
          "start_time": "2021-02-25T06:30:15.585755",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "62FONzMFom-M",
        "outputId": "a0bbd604-dd4d-4ed1-e3cd-dae02e885395"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "</body>\n",
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            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "bottom=top.sort_values(by='no_of_seasons')\n",
        "bottom=bottom[20:50]\n",
        "\n",
        "import plotly.graph_objects as go\n",
        "\n",
        "fig = go.Figure(data=[go.Table(header=dict(values=['Title', 'No of seasons']),\n",
        "                 cells=dict(values=[bottom['title'],bottom['no_of_seasons']],fill_color='lavender'))\n",
        "                     ])\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.093526,
          "end_time": "2021-02-25T06:30:16.030288",
          "exception": false,
          "start_time": "2021-02-25T06:30:15.936762",
          "status": "completed"
        },
        "tags": [],
        "id": "PnDBCLM-om-N"
      },
      "source": [
        "These are some binge-worthy shows that are short and have only one season."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "_kg_hide-input": true,
        "papermill": {
          "duration": 0.112881,
          "end_time": "2021-02-25T06:30:16.237593",
          "exception": false,
          "start_time": "2021-02-25T06:30:16.124712",
          "status": "completed"
        },
        "tags": [],
        "id": "T8tsgKDrom-O"
      },
      "outputs": [],
      "source": [
        "genres=list(netflix_shows['listed_in'])\n",
        "gen=[]\n",
        "\n",
        "for i in genres:\n",
        "    i=list(i.split(','))\n",
        "    for j in i:\n",
        "        gen.append(j.replace(' ',\"\"))\n",
        "g=Counter(gen)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.091452,
          "end_time": "2021-02-25T06:30:16.420835",
          "exception": false,
          "start_time": "2021-02-25T06:30:16.329383",
          "status": "completed"
        },
        "tags": [],
        "id": "Y-InIfiKom-Q"
      },
      "source": [
        "# Word Cloud for Genres"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.091504,
          "end_time": "2021-02-25T06:30:16.605349",
          "exception": false,
          "start_time": "2021-02-25T06:30:16.513845",
          "status": "completed"
        },
        "tags": [],
        "id": "VhCTlUiGom-R"
      },
      "source": [
        "A word cloud is an image made of words that together resemble a cloudy shape."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "papermill": {
          "duration": 8.387621,
          "end_time": "2021-02-25T06:30:25.084999",
          "exception": false,
          "start_time": "2021-02-25T06:30:16.697378",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "UYWs619Mom-R",
        "outputId": "0ff4bd86-8fbd-42fe-9a6b-3a57264922d7"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 936x936 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
        "\n",
        "text = list(set(gen))\n",
        "\n",
        "mask=np.array(Image.open('/content/upvote.png'))\n",
        "wordcloud = WordCloud(max_words=1000000,background_color=\"black\",mask=mask).generate(str(text))\n",
        "plt.rcParams['figure.figsize'] = (13, 13)\n",
        "plt.imshow(wordcloud,interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "papermill": {
          "duration": 0.108001,
          "end_time": "2021-02-25T06:30:25.290066",
          "exception": false,
          "start_time": "2021-02-25T06:30:25.182065",
          "status": "completed"
        },
        "tags": [],
        "id": "numKfsyoom-S"
      },
      "outputs": [],
      "source": [
        "us_series_data=netflix_shows[netflix_shows['country']=='United States']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "papermill": {
          "duration": 0.105145,
          "end_time": "2021-02-25T06:30:25.491446",
          "exception": false,
          "start_time": "2021-02-25T06:30:25.386301",
          "status": "completed"
        },
        "tags": [],
        "id": "fvuYC87nom-T"
      },
      "outputs": [],
      "source": [
        "oldest_us_series=us_series_data.sort_values(by='release_year')[0:20]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "papermill": {
          "duration": 0.258929,
          "end_time": "2021-02-25T06:30:25.846168",
          "exception": false,
          "start_time": "2021-02-25T06:30:25.587239",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "IZCjs6Jsom-T",
        "outputId": "4811ca78-f338-4369-9c04-477506db64ec"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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          },
          "metadata": {}
        }
      ],
      "source": [
        "fig = go.Figure(data=[go.Table(header=dict(values=['Title', 'Release Year'],fill_color='paleturquoise'),\n",
        "                 cells=dict(values=[oldest_us_series['title'],oldest_us_series['release_year']],fill_color='pink'))\n",
        "                     ])\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.09977,
          "end_time": "2021-02-25T06:30:26.045281",
          "exception": false,
          "start_time": "2021-02-25T06:30:25.945511",
          "status": "completed"
        },
        "tags": [],
        "id": "OrA8TZ6nom-U"
      },
      "source": [
        "Above table shows the oldest US tv shows on Netflix."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "papermill": {
          "duration": 0.110156,
          "end_time": "2021-02-25T06:30:26.254810",
          "exception": false,
          "start_time": "2021-02-25T06:30:26.144654",
          "status": "completed"
        },
        "tags": [],
        "id": "KOAoCRjYom-U"
      },
      "outputs": [],
      "source": [
        "newest_us_series=us_series_data.sort_values(by='release_year', ascending=False)[0:50]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
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          "exception": false,
          "start_time": "2021-02-25T06:30:26.351846",
          "status": "completed"
        },
        "tags": [],
        "colab": {
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          "height": 542
        },
        "id": "_criO-bLom-V",
        "outputId": "2b8bd83e-e29c-4e0d-b2ff-e2118a3623ed"
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      "outputs": [
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          "metadata": {}
        }
      ],
      "source": [
        "fig = go.Figure(data=[go.Table(header=dict(values=['Title', 'Release Year'],fill_color='yellow'),\n",
        "                 cells=dict(values=[newest_us_series['title'],newest_us_series['release_year']],fill_color='lavender'))\n",
        "                     ])\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.098988,
          "end_time": "2021-02-25T06:30:26.810978",
          "exception": false,
          "start_time": "2021-02-25T06:30:26.711990",
          "status": "completed"
        },
        "tags": [],
        "id": "FHvHnm7Gom-V"
      },
      "source": [
        "The above are latest released US television shows!"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.098046,
          "end_time": "2021-02-25T06:30:27.008604",
          "exception": false,
          "start_time": "2021-02-25T06:30:26.910558",
          "status": "completed"
        },
        "tags": [],
        "id": "sJnukfufom-V"
      },
      "source": [
        "# Content in France"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "papermill": {
          "duration": 0.723711,
          "end_time": "2021-02-25T06:30:27.832011",
          "exception": false,
          "start_time": "2021-02-25T06:30:27.108300",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "jF0L7Dcyom-W",
        "outputId": "f7b7c12d-786f-4223-e725-6c495b9d99a0"
      },
      "outputs": [
        {
          "output_type": "display_data",
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          },
          "metadata": {}
        }
      ],
      "source": [
        "netflix_fr=netflix_overall[netflix_overall['country']=='France']\n",
        "nannef=netflix_fr.dropna()\n",
        "import plotly.express as px\n",
        "fig = px.treemap(nannef, path=['country','director'],\n",
        "                  color='director', hover_data=['director','title'],color_continuous_scale='Purples')\n",
        "fig.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.098142,
          "end_time": "2021-02-25T06:30:28.030384",
          "exception": false,
          "start_time": "2021-02-25T06:30:27.932242",
          "status": "completed"
        },
        "tags": [],
        "id": "XlCdw2zPom-X"
      },
      "source": [
        "It is very interesting to note that the content in France is very rational. There is no director in the data who has a large number of movies. In my opinion, it shows how different directors are given a chance to showcase their talents. What do you think?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "papermill": {
          "duration": 0.111361,
          "end_time": "2021-02-25T06:30:28.242878",
          "exception": false,
          "start_time": "2021-02-25T06:30:28.131517",
          "status": "completed"
        },
        "tags": [],
        "id": "w2yRFkBvom-X"
      },
      "outputs": [],
      "source": [
        "newest_fr_series=netflix_fr.sort_values(by='release_year', ascending=False)[0:20]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "_kg_hide-output": true,
        "papermill": {
          "duration": 0.13427,
          "end_time": "2021-02-25T06:30:28.475419",
          "exception": false,
          "start_time": "2021-02-25T06:30:28.341149",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "2jeSRPfvom-Y",
        "outputId": "7bac403c-d334-47ff-eb61-c449dd8e6d28"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     show_id     type                         title  \\\n",
              "6462   s6463  TV Show              The Hook Up Plan   \n",
              "7388   s7389  TV Show                      Vampires   \n",
              "3729   s3730    Movie                   Lost Bullet   \n",
              "7365   s7366  TV Show                    Until Dawn   \n",
              "2414   s2415    Movie           GIMS: On the Record   \n",
              "3502   s3503  TV Show                 La Révolution   \n",
              "7145   s7146    Movie   Tony Parker: The Final Shot   \n",
              "7498   s7499    Movie                    We Are One   \n",
              "910     s911    Movie  Bigflo & Oli: Hip Hop Frenzy   \n",
              "2105   s2106  TV Show               Family Business   \n",
              "512     s513    Movie         Anelka: Misunderstood   \n",
              "2117   s2118  TV Show               Fary : Hexagone   \n",
              "5253   s5254    Movie                    Rogue City   \n",
              "5275   s5276  TV Show     Room 2806: The Accusation   \n",
              "3002   s3003  TV Show             Inhuman Resources   \n",
              "1559   s1560    Movie                        Cuties   \n",
              "7009   s7010    Movie               The Wolf's Call   \n",
              "3517   s3518    Movie                        Lady J   \n",
              "2915   s2916    Movie                I Lost My Body   \n",
              "4377   s4378  TV Show                   Mythomaniac   \n",
              "\n",
              "                           director  \\\n",
              "6462                            NaN   \n",
              "7388                            NaN   \n",
              "3729              Guillaume Pierret   \n",
              "7365                            NaN   \n",
              "2414                  Florent Bodin   \n",
              "3502                            NaN   \n",
              "7145                  Florent Bodin   \n",
              "7498            Stéphane de Freitas   \n",
              "910   Bigflo & Oli, Jérémie Levypon   \n",
              "2105                            NaN   \n",
              "512                    Franck Nataf   \n",
              "2117      Adrien Lagier, Ousmane Ly   \n",
              "5253                Olivier Marchal   \n",
              "5275                  Jalil Lespert   \n",
              "3002                   Ziad Doueiri   \n",
              "1559              Maïmouna Doucouré   \n",
              "7009                 Antonin Baudry   \n",
              "3517                Emmanuel Mouret   \n",
              "2915                  Jérémy Clapin   \n",
              "4377                            NaN   \n",
              "\n",
              "                                                   cast country  \\\n",
              "6462  Marc Ruchmann, Zita Hanrot, Sabrina Ouazani, J...  France   \n",
              "7388  Oulaya Amamra, Suzanne Clément, Kate Moran, Mo...  France   \n",
              "3729  Alban Lenoir, Nicolas Duvauchelle, Ramzy Bedia...  France   \n",
              "7365  Ahmed Sylla, Alban Ivanov, Ornella Fleury, Nat...  France   \n",
              "2414                                        Maître Gims  France   \n",
              "3502  Amir El Kacem, Marilou Aussilloux, Lionel Erdo...  France   \n",
              "7145                                        Tony Parker  France   \n",
              "7498                                                NaN  France   \n",
              "910                                        Bigflo & Oli  France   \n",
              "2105  Jonathan Cohen, Gérard Darmon, Julia Piaton, L...  France   \n",
              "512                                      Nicolas Anelka  France   \n",
              "2117                                               Fary  France   \n",
              "5253  Lannick Gautry, Stanislas Merhar, Kaaris, Davi...  France   \n",
              "5275                                                NaN  France   \n",
              "3002  Eric Cantona, Suzanne Clément, Alex Lutz, Gust...  France   \n",
              "1559  Fathia Youssouf, Médina El Aidi-Azouni, Esther...  France   \n",
              "7009  François Civil, Omar Sy, Mathieu Kassovitz, Re...  France   \n",
              "3517  Cécile De France, Edouard Baer, Alice Isaaz, N...  France   \n",
              "2915  Hakim Faris, Victoire Du Bois, Patrick d'Assum...  France   \n",
              "4377  Marina Hands, Mathieu Demy, Marie Drion, Jérém...  France   \n",
              "\n",
              "              date_added  release_year rating   duration  \\\n",
              "6462    October 11, 2019          2020  TV-MA  2 Seasons   \n",
              "7388      March 20, 2020          2020  TV-MA   1 Season   \n",
              "3729       June 19, 2020          2020  TV-MA     93 min   \n",
              "7365    January 10, 2020          2020  TV-MA   1 Season   \n",
              "2414  September 17, 2020          2020  TV-MA     96 min   \n",
              "3502    October 16, 2020          2020  TV-MA   1 Season   \n",
              "7145     January 6, 2021          2020  TV-14     99 min   \n",
              "7498       July 14, 2020          2020  TV-MA     86 min   \n",
              "910      October 8, 2020          2020  TV-MA    100 min   \n",
              "2105  September 11, 2020          2020  TV-MA  2 Seasons   \n",
              "512       August 5, 2020          2020  TV-14     95 min   \n",
              "2117      April 16, 2020          2020  TV-MA  2 Seasons   \n",
              "5253    October 30, 2020          2020  TV-MA    116 min   \n",
              "5275    December 7, 2020          2020  TV-MA   1 Season   \n",
              "3002        May 15, 2020          2020  TV-MA   1 Season   \n",
              "1559   September 9, 2020          2020  TV-MA     96 min   \n",
              "7009       June 20, 2019          2019  TV-14    116 min   \n",
              "3517       March 8, 2019          2019  TV-MA    111 min   \n",
              "2915   November 29, 2019          2019  TV-MA     81 min   \n",
              "4377   November 28, 2019          2019  TV-MA   1 Season   \n",
              "\n",
              "                                              listed_in  \\\n",
              "6462  International TV Shows, Romantic TV Shows, TV ...   \n",
              "7388       International TV Shows, TV Dramas, TV Horror   \n",
              "3729   Action & Adventure, Dramas, International Movies   \n",
              "7365    International TV Shows, Reality TV, TV Comedies   \n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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              "          if (!dataTable) return;\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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          },
          "metadata": {},
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        }
      ],
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        "newest_fr_series"
      ]
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    {
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          "metadata": {}
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      ],
      "source": [
        "fig = go.Figure(data=[go.Table(header=dict(values=['Title', 'Release Year']),\n",
        "                 cells=dict(values=[newest_fr_series['title'],newest_fr_series['release_year']]))\n",
        "                     ])\n",
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    {
      "cell_type": "markdown",
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          "end_time": "2021-02-25T06:30:29.042482",
          "exception": false,
          "start_time": "2021-02-25T06:30:28.940715",
          "status": "completed"
        },
        "tags": [],
        "id": "BvlzfPkYom-b"
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      "source": [
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      "cell_type": "code",
      "execution_count": 63,
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                       {\"responsive\": true}                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('11868d20-b2fb-4af2-b10a-bbe28e1e9dcd');\n",
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              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "topdirs=pd.value_counts(netflix_overall['duration'])\n",
        "fig = go.Figure([go.Bar(x=topdirs.index, y=topdirs.values , text=topdirs.values,marker_color='indianred')])\n",
        "fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.1012,
          "end_time": "2021-02-25T06:30:30.036397",
          "exception": false,
          "start_time": "2021-02-25T06:30:29.935197",
          "status": "completed"
        },
        "tags": [],
        "id": "LbmGf25Rom-c"
      },
      "source": [
        "# Recommendation System (Content Based)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "papermill": {
          "duration": 0.191776,
          "end_time": "2021-02-25T06:30:30.742003",
          "exception": false,
          "start_time": "2021-02-25T06:30:30.550227",
          "status": "completed"
        },
        "tags": [],
        "id": "wfzTwYxdom-e"
      },
      "outputs": [],
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "papermill": {
          "duration": 0.463718,
          "end_time": "2021-02-25T06:30:31.308644",
          "exception": false,
          "start_time": "2021-02-25T06:30:30.844926",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "waJ4qmaWom-f",
        "outputId": "5a8ed634-9db3-4c4f-d8e6-30eebcb53ec9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(7787, 17905)"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ],
      "source": [
        "#removing stopwords\n",
        "tfidf = TfidfVectorizer(stop_words='english')\n",
        "\n",
        "#Replace NaN with an empty string\n",
        "netflix_overall['description'] = netflix_overall['description'].fillna('')\n",
        "\n",
        "#Construct the required TF-IDF matrix by fitting and transforming the data\n",
        "tfidf_matrix = tfidf.fit_transform(netflix_overall['description'])\n",
        "\n",
        "#Output the shape of tfidf_matrix\n",
        "tfidf_matrix.shape\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "papermill": {
          "duration": 0.867555,
          "end_time": "2021-02-25T06:30:32.688388",
          "exception": false,
          "start_time": "2021-02-25T06:30:31.820833",
          "status": "completed"
        },
        "tags": [],
        "id": "xxen0xjVom-m"
      },
      "outputs": [],
      "source": [
        "# Import linear_kernel\n",
        "from sklearn.metrics.pairwise import linear_kernel\n",
        "\n",
        "# Compute the cosine similarity matrix\n",
        "cosine_sim = linear_kernel(tfidf_matrix, tfidf_matrix)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "papermill": {
          "duration": 0.116667,
          "end_time": "2021-02-25T06:30:32.906876",
          "exception": false,
          "start_time": "2021-02-25T06:30:32.790209",
          "status": "completed"
        },
        "tags": [],
        "id": "rFg8pYh5om-n"
      },
      "outputs": [],
      "source": [
        "indices = pd.Series(netflix_overall.index, index=netflix_overall['title']).drop_duplicates()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "papermill": {
          "duration": 0.114792,
          "end_time": "2021-02-25T06:30:33.125146",
          "exception": false,
          "start_time": "2021-02-25T06:30:33.010354",
          "status": "completed"
        },
        "tags": [],
        "id": "CzAQm0moom-n"
      },
      "outputs": [],
      "source": [
        "def get_recommendations(title, cosine_sim=cosine_sim):\n",
        "    idx = indices[title]\n",
        "\n",
        "    # Get the pairwsie similarity scores of all movies with that movie\n",
        "    sim_scores = list(enumerate(cosine_sim[idx]))\n",
        "\n",
        "    # Sort the movies based on the similarity scores\n",
        "    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)\n",
        "\n",
        "    # Get the scores of the 10 most similar movies\n",
        "    sim_scores = sim_scores[1:11]\n",
        "\n",
        "    # Get the movie indices\n",
        "    movie_indices = [i[0] for i in sim_scores]\n",
        "\n",
        "    # Return the top 10 most similar movies\n",
        "    return netflix_overall['title'].iloc[movie_indices]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.101017,
          "end_time": "2021-02-25T06:30:33.327763",
          "exception": false,
          "start_time": "2021-02-25T06:30:33.226746",
          "status": "completed"
        },
        "tags": [],
        "id": "w2kquJD7om-p"
      },
      "source": [
        "This recommendation is just based on the Plot."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "papermill": {
          "duration": 0.122499,
          "end_time": "2021-02-25T06:30:33.552162",
          "exception": false,
          "start_time": "2021-02-25T06:30:33.429663",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g-wNJhABom-p",
        "outputId": "a9ed761a-2da3-4af7-a77f-c3bb86678329"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4692                    Our Godfather\n",
              "4358                   My Stupid Boss\n",
              "1807                              Don\n",
              "6344                         The Fear\n",
              "3219    Jonathan Strange & Mr Norrell\n",
              "4953                Power Rangers Zeo\n",
              "6783                       The Prison\n",
              "6950                       The Tudors\n",
              "6236                    The Con Is On\n",
              "6585     The Legend of Michael Mishra\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ],
      "source": [
        "get_recommendations('Peaky Blinders')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "papermill": {
          "duration": 0.12361,
          "end_time": "2021-02-25T06:30:33.776932",
          "exception": false,
          "start_time": "2021-02-25T06:30:33.653322",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N8tihKzbom-q",
        "outputId": "44292cd0-d20b-4809-cabc-030e4ec59467"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4858                  PILI Fantasy: War of Dragons\n",
              "1920         Edgar Rice Burroughs' Tarzan and Jane\n",
              "2159                             Figures of Speech\n",
              "4314    My Entire High School Sinking Into the Sea\n",
              "2188                                     FirstBorn\n",
              "4994                                 Psychokinesis\n",
              "608                                 At First Light\n",
              "6958                          The Umbrella Academy\n",
              "1267                                     Chamatkar\n",
              "3864                              Maharakshak Devi\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ],
      "source": [
        "get_recommendations('Mortel')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.103428,
          "end_time": "2021-02-25T06:30:33.983628",
          "exception": false,
          "start_time": "2021-02-25T06:30:33.880200",
          "status": "completed"
        },
        "tags": [],
        "id": "I8DCl1-6om-q"
      },
      "source": [
        "It is seen that the model performs well, but is not very accurate.Therefore, more metrics are added to the model to improve performance."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.102312,
          "end_time": "2021-02-25T06:30:34.189060",
          "exception": false,
          "start_time": "2021-02-25T06:30:34.086748",
          "status": "completed"
        },
        "tags": [],
        "id": "BMX7VOD3om-r"
      },
      "source": [
        "# Content based filtering on multiple metrics"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.102078,
          "end_time": "2021-02-25T06:30:34.393637",
          "exception": false,
          "start_time": "2021-02-25T06:30:34.291559",
          "status": "completed"
        },
        "tags": [],
        "id": "8i8px6tKom-r"
      },
      "source": [
        "Content based filtering on the following factors:\n",
        "* Title\n",
        "* Cast\n",
        "* Director\n",
        "* Listed in\n",
        "* Plot"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.102616,
          "end_time": "2021-02-25T06:30:34.598511",
          "exception": false,
          "start_time": "2021-02-25T06:30:34.495895",
          "status": "completed"
        },
        "tags": [],
        "id": "vxVUrkaIom-s"
      },
      "source": [
        "Filling null values with empty string."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
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        {
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          "data": {
            "text/plain": [
              "  show_id     type title           director  \\\n",
              "0      s1  TV Show    3%                      \n",
              "1      s2    Movie  7:19  Jorge Michel Grau   \n",
              "\n",
              "                                                cast country  \\\n",
              "0  João Miguel, Bianca Comparato, Michel Gomes, R...  Brazil   \n",
              "1  Demián Bichir, Héctor Bonilla, Oscar Serrano, ...  Mexico   \n",
              "\n",
              "          date_added  release_year rating   duration  \\\n",
              "0    August 14, 2020          2020  TV-MA  4 Seasons   \n",
              "1  December 23, 2016          2016  TV-MA     93 min   \n",
              "\n",
              "                                           listed_in  \\\n",
              "0  International TV Shows, TV Dramas, TV Sci-Fi &...   \n",
              "1                       Dramas, International Movies   \n",
              "\n",
              "                                         description  \n",
              "0  In a future where the elite inhabit an island ...  \n",
              "1  After a devastating earthquake hits Mexico Cit...  "
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              "      <td>Jorge Michel Grau</td>\n",
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              "      <td>TV-MA</td>\n",
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              "      <td>Dramas, International Movies</td>\n",
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              "\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-8ba81e7f-6ccb-40b4-a0c2-847a54ecc6f4 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8ba81e7f-6ccb-40b4-a0c2-847a54ecc6f4');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ],
      "source": [
        "filledna=netflix_overall.fillna('')\n",
        "filledna.head(2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.103823,
          "end_time": "2021-02-25T06:30:35.046242",
          "exception": false,
          "start_time": "2021-02-25T06:30:34.942419",
          "status": "completed"
        },
        "tags": [],
        "id": "GDdMC1eKom-t"
      },
      "source": [
        "Cleaning the data - making all the words lower case"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "papermill": {
          "duration": 0.113259,
          "end_time": "2021-02-25T06:30:35.263917",
          "exception": false,
          "start_time": "2021-02-25T06:30:35.150658",
          "status": "completed"
        },
        "tags": [],
        "id": "Fsr5rhFWom-t"
      },
      "outputs": [],
      "source": [
        "def clean_data(x):\n",
        "        return str.lower(x.replace(\" \", \"\"))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.102853,
          "end_time": "2021-02-25T06:30:35.470442",
          "exception": false,
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          "status": "completed"
        },
        "tags": [],
        "id": "xmu-Xgr0om-u"
      },
      "source": [
        "Identifying features on which the model is to be filtered."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "papermill": {
          "duration": 0.117674,
          "end_time": "2021-02-25T06:30:35.690847",
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          "start_time": "2021-02-25T06:30:35.573173",
          "status": "completed"
        },
        "tags": [],
        "id": "rO6HWwczom-v"
      },
      "outputs": [],
      "source": [
        "features=['title','director','cast','listed_in','description']\n",
        "filledna=filledna[features]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {
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          "duration": 0.174653,
          "end_time": "2021-02-25T06:30:35.970162",
          "exception": false,
          "start_time": "2021-02-25T06:30:35.795509",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "WI6NNRY8om-w",
        "outputId": "703d1e73-0c9d-4a83-afb5-8c3f41511e35"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  title         director                                               cast  \\\n",
              "0    3%                   joãomiguel,biancacomparato,michelgomes,rodolfo...   \n",
              "1  7:19  jorgemichelgrau  demiánbichir,héctorbonilla,oscarserrano,azalia...   \n",
              "\n",
              "                                        listed_in  \\\n",
              "0  internationaltvshows,tvdramas,tvsci-fi&fantasy   \n",
              "1                      dramas,internationalmovies   \n",
              "\n",
              "                                         description  \n",
              "0  inafuturewheretheeliteinhabitanislandparadisef...  \n",
              "1  afteradevastatingearthquakehitsmexicocity,trap...  "
            ],
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              "      <td>7:19</td>\n",
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              "      <td>demiánbichir,héctorbonilla,oscarserrano,azalia...</td>\n",
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              "      <td>afteradevastatingearthquakehitsmexicocity,trap...</td>\n",
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              "</table>\n",
              "</div>\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
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              "\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a7c9c134-3382-43f3-ad72-022d049f0b87 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a7c9c134-3382-43f3-ad72-022d049f0b87');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ],
      "source": [
        "for feature in features:\n",
        "    filledna[feature] = filledna[feature].apply(clean_data)\n",
        "    \n",
        "filledna.head(2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.107427,
          "end_time": "2021-02-25T06:30:36.180409",
          "exception": false,
          "start_time": "2021-02-25T06:30:36.072982",
          "status": "completed"
        },
        "tags": [],
        "id": "_C1rhI-Gom-x"
      },
      "source": [
        "Creating a \"soup\" or a \"bag of words\" for all rows."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "papermill": {
          "duration": 0.112271,
          "end_time": "2021-02-25T06:30:36.396659",
          "exception": false,
          "start_time": "2021-02-25T06:30:36.284388",
          "status": "completed"
        },
        "tags": [],
        "id": "juFcIVgZom-x"
      },
      "outputs": [],
      "source": [
        "def create_soup(x):\n",
        "    return x['title']+ ' ' + x['director'] + ' ' + x['cast'] + ' ' +x['listed_in']+' '+ x['description']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {
        "papermill": {
          "duration": 0.78437,
          "end_time": "2021-02-25T06:30:37.291600",
          "exception": false,
          "start_time": "2021-02-25T06:30:36.507230",
          "status": "completed"
        },
        "tags": [],
        "id": "B4kIX7j_om-y"
      },
      "outputs": [],
      "source": [
        "filledna['soup'] = filledna.apply(create_soup, axis=1)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.102319,
          "end_time": "2021-02-25T06:30:37.497003",
          "exception": false,
          "start_time": "2021-02-25T06:30:37.394684",
          "status": "completed"
        },
        "tags": [],
        "id": "dKOCeB0iom-y"
      },
      "source": [
        "From here on, the code is basically similar to the upper model except the fact that count vectorizer is used instead of tfidf."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "metadata": {
        "papermill": {
          "duration": 1.52557,
          "end_time": "2021-02-25T06:30:39.125530",
          "exception": false,
          "start_time": "2021-02-25T06:30:37.599960",
          "status": "completed"
        },
        "tags": [],
        "id": "yqQSPGljom-z"
      },
      "outputs": [],
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "\n",
        "count = CountVectorizer(stop_words='english')\n",
        "count_matrix = count.fit_transform(filledna['soup'])\n",
        "\n",
        "cosine_sim2 = cosine_similarity(count_matrix, count_matrix)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {
        "papermill": {
          "duration": 0.117233,
          "end_time": "2021-02-25T06:30:39.346622",
          "exception": false,
          "start_time": "2021-02-25T06:30:39.229389",
          "status": "completed"
        },
        "tags": [],
        "id": "CwcquPt7om-0"
      },
      "outputs": [],
      "source": [
        "filledna=filledna.reset_index()\n",
        "indices = pd.Series(filledna.index, index=filledna['title'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "papermill": {
          "duration": 0.115068,
          "end_time": "2021-02-25T06:30:39.565301",
          "exception": false,
          "start_time": "2021-02-25T06:30:39.450233",
          "status": "completed"
        },
        "tags": [],
        "id": "vS_rWnq_om-1"
      },
      "outputs": [],
      "source": [
        "def get_recommendations_new(title, cosine_sim=cosine_sim):\n",
        "    title=title.replace(' ','').lower()\n",
        "    idx = indices[title]\n",
        "\n",
        "    # Get the pairwsie similarity scores of all movies with that movie\n",
        "    sim_scores = list(enumerate(cosine_sim[idx]))\n",
        "\n",
        "    # Sort the movies based on the similarity scores\n",
        "    sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)\n",
        "\n",
        "    # Get the scores of the 10 most similar movies\n",
        "    sim_scores = sim_scores[1:11]\n",
        "\n",
        "    # Get the movie indices\n",
        "    movie_indices = [i[0] for i in sim_scores]\n",
        "\n",
        "    # Return the top 10 most similar movies\n",
        "    return netflix_overall['title'].iloc[movie_indices]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {
        "papermill": {
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          "exception": false,
          "start_time": "2021-02-25T06:30:39.670565",
          "status": "completed"
        },
        "tags": [],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gyr7rSozom-2",
        "outputId": "de3eba01-cc90-4a24-9e37-2af7fb630f5c"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "100                            3 Idiots\n",
              "6585       The Legend of Michael Mishra\n",
              "552                   Anthony Kaun Hai?\n",
              "2571                             Haapus\n",
              "5377                              Sanju\n",
              "5954                   Taare Zameen Par\n",
              "1261                    Chal Dhar Pakad\n",
              "1271                    Chance Pe Dance\n",
              "1831                            Dostana\n",
              "1988    EMI: Liya Hai To Chukana Padega\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ],
      "source": [
        "get_recommendations_new('PK', cosine_sim2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 82,
      "metadata": {
        "papermill": {
          "duration": 0.127012,
          "end_time": "2021-02-25T06:30:40.033115",
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        },
        "id": "ZYIxZ7lrom-3",
        "outputId": "fdd053b7-0cb7-4651-e7a0-546e176141ec"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2419                                   Giri / Haji\n",
              "6374                   The Frankenstein Chronicles\n",
              "6693                         The Murder Detectives\n",
              "3692                                        Loaded\n",
              "3412                                 Kiss Me First\n",
              "2616                                  Happy Valley\n",
              "2381                                      Get Even\n",
              "2846    How to Live Mortgage Free with Sarah Beeny\n",
              "2886                                 I AM A KILLER\n",
              "3013                      Inside the Criminal Mind\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ],
      "source": [
        "get_recommendations_new('Peaky Blinders', cosine_sim2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 83,
      "metadata": {
        "papermill": {
          "duration": 0.127212,
          "end_time": "2021-02-25T06:30:40.268490",
          "exception": false,
          "start_time": "2021-02-25T06:30:40.141278",
          "status": "completed"
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        "tags": [],
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        },
        "id": "XoCsbpnrom-3",
        "outputId": "5276d5ab-d2cf-4b45-b40f-8ff2cc7256d5"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2168                                        Find Yourself\n",
              "1590                                       Dancing Angels\n",
              "4024                     Melodies of Life - Born This Way\n",
              "3676                                        Little Things\n",
              "1435    Club Friday To Be Continued - My Beautiful Tomboy\n",
              "5219                                           Rishta.com\n",
              "38                                    แผนร้ายนายเจ้าเล่ห์\n",
              "294                                  Accidentally in Love\n",
              "720                                     Bangkok Bachelors\n",
              "1463                                      College Romance\n",
              "Name: title, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ],
      "source": [
        "get_recommendations_new('The Hook Up Plan', cosine_sim2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.103838,
          "end_time": "2021-02-25T06:30:40.478887",
          "exception": false,
          "start_time": "2021-02-25T06:30:40.375049",
          "status": "completed"
        },
        "tags": [],
        "id": "eV58DD6jom-4"
      },
      "source": [
        "# How many Netflix Shows/ Movies are made from books as their storylines?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "papermill": {
          "duration": 0.104597,
          "end_time": "2021-02-25T06:30:40.688148",
          "exception": false,
          "start_time": "2021-02-25T06:30:40.583551",
          "status": "completed"
        },
        "tags": [],
        "id": "NarQc4pnom-4"
      },
      "source": [
        
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 84,
      "metadata": {
        "papermill": {
          "duration": 0.309882,
          "end_time": "2021-02-25T06:30:41.106581",
          "exception": false,
          "start_time": "2021-02-25T06:30:40.796699",
          "status": "completed"
        },
        "tags": [],
        "id": "eAMAk8K9om-5"
      },
      "outputs": [],
      "source": [
        "books=pd.read_csv('/content/books.csv')\n",
        "books['original_title']=books['original_title'].str.lower()\n",
        "x=netflix_overall\n",
        "x['title']=x['title'].str.lower()\n",
        "t=x.merge(books, left_on='title', right_on='original_title', how=\"inner\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 85,
      "metadata": {
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          "duration": 0.117777,
          "end_time": "2021-02-25T06:30:41.333518",
          "exception": false,
          "start_time": "2021-02-25T06:30:41.215741",
          "status": "completed"
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        "id": "2fJnAf7wom-6",
        "outputId": "f4003456-1431-4c50-b868-633da99d3786"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(211, 35)"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ],
      "source": [
        "t.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "metadata": {
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        "id": "DXS5-crqom-6",
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      ],
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        "import plotly.graph_objects as go\n",
        "\n",
        "labels = ['Shows from books','Shows not from books']\n",
        "values = [248,6234]\n",
        "\n",
        "fig = go.Figure(data=[go.Pie(labels=labels, values=values)])\n",
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