Calgary Crime Analysis using Neural Network.ipynb

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      "source": [
        "# Calgary Crime Analysis using Neural Network"
      ]
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      "source": [
        "The aim of this project is to use the Crime and Disorder Data provided by the City of Calgary's data website to analyze the data and predict the number of crimes that will occur in the future. The data is from 2018 to 2024 and contains the number of crimes that occurred in Calgary for each month. After throughly analyzing the data,  I will be building a neural network model and optimizing it to predict the number of crimes that will occur in the future."
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        "## Data Dictionary\n",
        "\n",
        "| Column Name | Description |\n",
        "| --- | --- |\n",
        "|Community Name| The name of the community in Calgary|\n",
        "|Category| The type of crime that occurred|\n",
        "|Crime Count| The number of crimes that occurred in that month|\n",
        "|Year| The year the crime occurred|\n",
        "|Month| The month the crime occurred|\n",
        "\n",
        "## Strategy\n",
        "1. Loading the data and understanding the data\n",
        "2. Data Preprocessing - cleaing the data and preparing it for analysis\n",
        "3. Exploratory Data Analysis - Analyzing the data to understand the trends and patterns\n",
        "4. Building a Neural Network Model\n",
        "5. Optimizing the model\n",
        "6. Training the model\n",
        "7. Predicting the number of crimes that will occur in the future"
      ]
    },
    {
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      "source": [
        "#Importing the Libraries\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import seaborn as sns"
      ]
    },
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            "text/plain": [
              "  Community                    Category  Crime Count  Year  Month\n",
              "0       01B      Assault (Non-domestic)            1  2022     11\n",
              "1       01B  Break & Enter - Commercial            1  2019      6\n",
              "2       01B  Break & Enter - Commercial            1  2019      8\n",
              "3       01B  Break & Enter - Commercial            2  2020      3\n",
              "4       01B  Break & Enter - Commercial            2  2020      7"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#loading the dataset\n",
        "df = pd.read_csv('/content/Community_Crime_Statistics_20240522.csv')\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kh2z9ivQofCk"
      },
      "source": [
        "Here the is the representation of first 5 records of the data, which gives a brief informaton about the data. Since the dataset is alphabetically sorted by the community name, the data is not in a chronological order."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oXfnp69sofCl"
      },
      "source": [
        "### Data Preprocessing"
      ]
    },
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      "execution_count": 6,
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        "id": "UfGXsNbkofCm",
        "outputId": "9a918c97-d17d-4c9d-c26d-9f3cf0220edc"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(70661, 5)"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#shape of the dataset\n",
        "df.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9s6mUomUofCn"
      },
      "source": [
        "Here we have bearly 70661 records and 5 columns. Therefore, we have enough data for preparing an analysis and developing a model for prediction."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
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        "outputId": "35778668-2353-4171-c033-3043a51d99d5"
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      "outputs": [
        {
          "data": {
            "text/plain": [
              "Community      0\n",
              "Category       0\n",
              "Crime Count    0\n",
              "Year           0\n",
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            ]
          },
          "execution_count": 7,
          "metadata": {},
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      ],
      "source": [
        "#checking for missing values\n",
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3_ybX76jofCo"
      },
      "source": [
        "The dataset is pretty clean and does not have any missing values."
      ]
    },
    {
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        {
          "data": {
            "text/plain": [
              "Community      object\n",
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              "Year            int64\n",
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          "execution_count": 8,
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      "source": [
        "#checking for the datatypes\n",
        "df.dtypes"
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CPIqmxUMofCq"
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      "source": [
        "Making sure that the columns have correct datatype, before I proceed with the analysis."
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Crime Count</th>\n",
              "      <th>Year</th>\n",
              "      <th>Month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>70661.000000</td>\n",
              "      <td>70661.000000</td>\n",
              "      <td>70661.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.855748</td>\n",
              "      <td>2020.618616</td>\n",
              "      <td>6.369242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.664965</td>\n",
              "      <td>1.825330</td>\n",
              "      <td>3.451445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>2018.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>2021.000000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.000000</td>\n",
              "      <td>2022.000000</td>\n",
              "      <td>9.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>111.000000</td>\n",
              "      <td>2024.000000</td>\n",
              "      <td>12.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-11d82a8c-d470-4e69-b896-ac616666cf78')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-11d82a8c-d470-4e69-b896-ac616666cf78 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-11d82a8c-d470-4e69-b896-ac616666cf78');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a123a9e0-4cd4-4719-89b2-e06c660ed5d9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a123a9e0-4cd4-4719-89b2-e06c660ed5d9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a123a9e0-4cd4-4719-89b2-e06c660ed5d9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "        Crime Count          Year         Month\n",
              "count  70661.000000  70661.000000  70661.000000\n",
              "mean       2.855748   2020.618616      6.369242\n",
              "std        3.664965      1.825330      3.451445\n",
              "min        1.000000   2018.000000      1.000000\n",
              "25%        1.000000   2019.000000      3.000000\n",
              "50%        2.000000   2021.000000      6.000000\n",
              "75%        3.000000   2022.000000      9.000000\n",
              "max      111.000000   2024.000000     12.000000"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Descriptive statistics\n",
        "df.describe()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OfTQAIcuofCs"
      },
      "source": [
        "## Exploratory Data Analysis\n",
        "In the exploraotry data analysis, I will be analyzing the data to understand the trends and patterns in the data. Through this analysis, I will be able to understand the data better and build a better model for prediction."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3JCsI-tTofCt"
      },
      "source": [
        "### Community Distribution"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "F6WrOvqeofCt",
        "outputId": "a6899f11-0221-4a5d-c231-29fc6ac0418b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0, 0.5, '')"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1500x500 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1, 2, figsize=(15, 5))\n",
        "\n",
        "#Top 10 Communities with Highest Crime Rate\n",
        "df['Community'].value_counts().head(10).plot.pie(autopct='%1.1f%%', ax = ax[0])\n",
        "ax[0].set_title('Top 10 Communities with Highest Crime Rate')\n",
        "ax[0].set_ylabel('')\n",
        "\n",
        "#Top 10 Communities with Lowest Crime Rate\n",
        "df['Community'].value_counts().tail(10).plot.pie(autopct='%1.1f%%', ax = ax[1])\n",
        "ax[1].set_title('Top 10 Communities with Lowest Crime Rate')\n",
        "ax[1].set_ylabel('')\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WZzMp0w0ofCu"
      },
      "source": [
        "These pie charts show the distribution of crimes in each community. The first pie chart shows the top 10 most dangerous communities in Calgary. The second pie chart shows the distribution of top 10 safest communities in Calgary. In the first pie chart, Beltline is the most dangerous community in Calgary with 11.4% of the top crimes in number, followed by Forest Lawn with 10.7% and Downtown Commercial Core with 10.2%. In the second pie chart, the safest community is 13M with 22.7% of the least crimes in number, followed by 02K with 13.6% and 02B with 13.6%.\n",
        "\n",
        "*This is note that all these observations are without any bias and completely based on the data from the city of Calgary website.*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oBUnN--oofCv"
      },
      "source": [
        "### Crime Category Distribution"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "xxCwajNFofCv",
        "outputId": "843ae448-d144-4f81-d27f-299e1e6b7738"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0, 0.5, '')"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(5, 5))\n",
        "df['Category'].value_counts().plot.pie(autopct='%1.1f%%')\n",
        "plt.title('Crime Category Distribution')\n",
        "plt.ylabel('')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "31Owi9sAofCw"
      },
      "source": [
        "This graph shows the distribution of crimes in each category by the number of crimes. The top crime category is Theft from Vehicle with 21.7% of the total crimes, followed by Theft of Vehicle with 16.7% and Break and Enter - Commercial with 13.8%. The least crime category inc;udes commerical or street robbery."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QuCrXuBTofCx"
      },
      "source": [
        "### Crime Reportings Over the Years"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "aJYoSq_aofCx",
        "outputId": "7ee7554c-4167-4317-ac69-953b90cdf316"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Crime Reportings by Year')"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.countplot(x = 'Year', data = df, hue = 'Year', palette='viridis').set_title('Crime Reportings by Year')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A3iB5_PvofCy"
      },
      "source": [
        "This bar graph shows the distribution of number of crimes reported in the year. The year 2019 had the highest reportings of crimes followed by 2022 and 2018. The crime reportings in 2024 are less due to limited data till April 2024."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rEvT-5-mofCy"
      },
      "source": [
        "### Crime Reportings by Month"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "G6vX4VkfofCz",
        "outputId": "d9562b2a-5e1f-49c1-f9a2-0d61d225a779"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Crime Reportings by Month')"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.countplot(x = 'Month', data = df, hue = 'Month', palette='viridis').set_title('Crime Reportings by Month')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fcpSZDMbofC0"
      },
      "source": [
        "### Community and Category Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 974
        },
        "id": "5ELAatv-ofC0",
        "outputId": "d1ad02c2-cb18-492d-de39-2e6eef7faf19"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Top 5 Most safest Community and Crime Category')"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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06tevj8zMzK/acta/f3+pWBs2bIisrCzcu3fvi/rz9PTE+fPnER8fL5Zt3LgRJiYmaNy4caFtc3+e3r9/j+fPn+OXX34BAKltxDkGDhwo9b5hw4Z48eKF+P04ePAgAOT5+SnuwyfevHlTrM9IbsrKyujdu3ex63t6ekJRUVF8n/NZ6dOnj1S9+vXr4/79+/j48SMAYNeuXcjOzoaHh4f4s/P8+XMYGBjAysoKERERhc4LKN7nP0fu701KSgqeP3+Oxo0b4+7du0hJSSmy/fbt29GwYUOUKVNGKt7mzZsjKytL3FYfFhYGRUVF9OvXT2wrJycnrnbLkZycjOjoaHh5eaFs2bJiec2aNeHi4iJ+73P7/PMCfLr/jx49krpfGzduhKqqKjp27FjkvIiI6OfCJBoREf3U7t27ByMjozz/GMx5WufniQArK6s8fVhbWyM9PT3fc5wKo6SkBB8fH7x+/RqXLl0qdjs9PT00b94cmzZtwq5du5CVlYVOnTrlW7e48+vSpQucnJzQt29flC9fHl27dsW2bdu+KqE2Z84c/PPPPzAxMUG9evXg7++fJ+GTlJQk/iNWQ0MDenp6YqKkqH9Y37lzBwDQq1cv6OnpSb1Wr16NjIwMsY/ixFISWlpaAD6dtVaUZ8+eIT09HZUrV85zrUqVKsjOzs5zBlXFihWl3uckxExMTPKUv3r1Kk+/JWkPIN8+iuvzscqUKfNVfXbp0gXKysrYuHEjgE+fg/3796NHjx55tmN+7uXLlxg+fDjKly8PVVVV6OnpwdzcXOynpLHfu3cPcnJy4vbhHPl9L/OjpaVVrM9IbsbGxiV6iEBJvtfZ2dnifbhz5w4EQYCVlVWen5/Y2FjxYR75KcnnP8fp06fRvHlz8ewxPT098by34iTR7ty5g7CwsDyx5jytNyfee/fuwdDQEGpqalLtLS0tpd7n/O4r6OcyJyGfW85nKTcXFxcYGhqKn9fs7Gxs3rwZbdu2LXEClYiIfnw8E42IiOgbyvmH7ueHuxele/fu6NevHx4/fgw3N7evfmqlqqoqTpw4gYiICBw4cABhYWHYunUrmjZtiiNHjkBeXr7EfXp4eKBhw4bYvXs3jhw5grlz52L27NnYtWsX3NzckJWVBRcXF7x8+RLjxo2DjY0N1NXV8fDhQ3h5eRWZwMu5PnfuXNjZ2eVbJ+dcs6JiKSkbGxsAwPXr1wsc+2sUdL/zKxc+e0BESdsX1MfnClpp+TV95qdMmTJo3bo1Nm7ciClTpmDHjh3IyMgo1lNtPTw8cObMGYwZMwZ2dnbQ0NBAdnY2WrRoke/nSdaxf87GxgZXrlzB/fv38yS1CpJ7xVZxfOn3Ojs7GxKJBIcOHcq3bmFnAmppacHIyAj//PNPsWKMj49Hs2bNYGNjg/nz58PExARKSko4ePAgFixYUKxkfXZ2NlxcXDB27Nh8r1tbWxcrlq+R3/dGXl4e3bt3x6pVqxAcHIzTp0/j0aNHpfYEaCIiKl1MohER0U/N1NQUx44dw9u3b6VWDdy8eVO8nlvO6qfcbt++DTU1Nejp6ZV4/JzVUCVt2759ewwYMADnzp0r8AB3oGTzk5OTQ7NmzdCsWTPMnz8fM2bMwMSJExEREYHmzZsXuQooP4aGhhg8eDAGDx6Mp0+folatWggMDISbmxuuX7+O27dvY926dVIH4+d+8mhhclYHaWlpiatRvjQWACWan5ubG+Tl5bFhw4YiD43X09ODmpoabt26lefazZs3IScnV+wEy/dQpkwZvH79WqosMzMTycnJMhujqHvt6emJtm3b4sKFC+Kh7dWqVSu0zatXrxAeHo6AgACpw/Pz+5ktLlNTU2RnZyM+Pl5qxVJ+38v8uLu7Y/PmzdiwYQMmTJjwxXF8C5UqVYIgCDA3N/+iBFTr1q3xxx9/4OzZs3BwcCi07l9//YWMjAzs27dPauVcfltGC/psVKpUCampqUX+rJuamiIiIgLp6elSq9Hi4uLy1APy/17evHkTurq6UFdXL3SsHJ6enggKCsJff/2FQ4cOQU9PD66ursVqS0REPxdu5yQiop9ay5YtkZWVhaVLl0qVL1iwABKJJM8qpbNnz0qdrXT//n3s3bsXv/76a6GrtfLb6vn27VssXLgQurq6UuesFYeGhgaWL18Of39/uLu7F1ivuPPLbyVczgqrjIwMABD/Qfl5giU/WVlZebZo6evrw8jISOwv537lXvUjCAIWLVpUZP8AULt2bVSqVAnz5s1Dampqnus597w4sQCf5lecbWXApxWE/fr1w5EjR7BkyZI817OzsxEUFIQHDx5AXl4ev/76K/bu3YvExESxzpMnT7Bp0yY0aNBA3B73b1CpUiXxfKkcf/zxR5Fn/pVEUZ8lNzc36OrqYvbs2Th+/HixVvXk93kCID618Uvk/Hx8/tTb4vbZqVMn1KhRA4GBgTh79mye62/fvhWfQvm9dejQAfLy8ggICMhzzwRBwIsXLwptP3bsWKirq6Nv37548uRJnuvx8fHiz3J+35uUlBSEhITkaaeurp7v58LDwwNnz57F4cOH81x7/fq1eNabq6srPnz4gFWrVonXs7OzsWzZMqk2hoaGsLOzw7p166TG++eff3DkyBG0bNmykNlLq1mzJmrWrInVq1dj586d6Nq1q9TZg0RE9N/B3/5ERPRTc3d3R5MmTTBx4kQkJibC1tYWR44cwd69ezFixIg8ZyFVr14drq6uGDZsGJSVlREcHAwACAgIKHScZcuWYc+ePXB3d0fFihWRnJyMtWvXIikpCX/++WeJzkDK0atXL5nNb+rUqThx4gRatWoFU1NTPH36FMHBwahQoQIaNGgA4FNyRUdHBytWrICmpibU1dVRv379fM8Jevv2LSpUqIBOnTrB1tYWGhoaOHbsGC5cuICgoCAAn7a6VapUCb6+vnj48CG0tLSwc+fOYp+lJScnh9WrV8PNzQ3VqlVD7969YWxsjIcPHyIiIgJaWlr466+/ihUL8Ckpt3XrVowaNQp169aFhoZGoQnKoKAgxMfHY9iwYdi1axdat26NMmXKICkpCdu3b8fNmzfRtWtXAMD06dNx9OhRNGjQAIMHD4aCggJWrlyJjIwMzJkzp1jz/V769u2LgQMHomPHjnBxccHVq1dx+PBh6OrqymyMoj5LioqK6Nq1K5YuXQp5eXl069atyD61tLTQqFEjzJkzBx8+fICxsTGOHDmChISEL47Tzs4O3bp1Q3BwMFJSUuDo6Ijw8PA8q5oKoqioiF27dqF58+Zo1KgRPDw84OTkBEVFRdy4cQObNm1CmTJlEBgY+MUxfqlKlSph+vTpmDBhAhITE9GuXTtoamoiISEBu3fvRv/+/eHr61to+02bNqFLly6oUqUKPD09Ub16dWRmZuLMmTPYvn07vLy8AAC//vorlJSU4O7ujgEDBiA1NRWrVq2Cvr5+nhWOtWvXxvLlyzF9+nRYWlpCX18fTZs2xZgxY7Bv3z60bt0aXl5eqF27NtLS0nD9+nXs2LEDiYmJ0NXVRbt27VCvXj2MHj0acXFxsLGxwb59+8T/UZB7pdvcuXPh5uYGBwcHeHt74927d1iyZAm0tbXh7+9fovvp6ekp3i9u5SQi+g/73o8DJSIi+paGDBkifP6ft7dv3wojR44UjIyMBEVFRcHKykqYO3eukJ2dLVUPgDBkyBBhw4YNgpWVlaCsrCzY29sLERERRY575MgRwcXFRTAwMBAUFRUFHR0d4ddffxXCw8OLFXdISIgAQLhw4UKh9UxNTYVWrVqVeH7h4eFC27ZtBSMjI0FJSUkwMjISunXrJty+fVuqr7179wpVq1YVFBQUBABCSEhIvnFkZGQIY8aMEWxtbQVNTU1BXV1dsLW1FYKDg6XqxcTECM2bNxc0NDQEXV1doV+/fsLVq1fz9F3Y/K9cuSJ06NBBKFeunKCsrCyYmpoKHh4e4r0tbiypqalC9+7dBR0dHQGAYGpqWui9FgRB+Pjxo7B69WqhYcOGgra2tqCoqCiYmpoKvXv3Fq5cuSJV9/Lly4Krq6ugoaEhqKmpCU2aNBHOnDkjVaegefr5+QkAhGfPnkmV9+rVS1BXVxffJyQkCACEuXPnStWLiIgQAAjbt28vcrysrCxh3Lhxgq6urqCmpia4uroKcXFxgqmpqdCrV68iY80ZK/fPRePGjYXGjRtL1SvqsxQVFSUAEH799VehuB48eCC0b99e0NHREbS1tYXOnTsLjx49EgAIfn5+Yr2C7mfOnBISEsSyd+/eCcOGDRPKlSsnqKurC+7u7sL9+/fz9FmYV69eCVOmTBFq1KghqKmpCSoqKkL16tWFCRMmCMnJyWK9xo0bC9WqVcu3j8/vYUm+p4XNeefOnUKDBg0EdXV1QV1dXbCxsRGGDBki3Lp1q1hzu337ttCvXz/BzMxMUFJSEjQ1NQUnJydhyZIlwvv378V6+/btE2rWrCmoqKgIZmZmwuzZs4W1a9fmud+PHz8WWrVqJWhqagoApOb89u1bYcKECYKlpaWgpKQk6OrqCo6OjsK8efOEzMxMsd6zZ8+E7t27C5qamoK2trbg5eUlnD59WgAgbNmyRSr+Y8eOCU5OToKqqqqgpaUluLu7CzExMcW6d7klJycL8vLygrW1dbHuGxER/ZwkgiCjk1WJiIh+cBKJBEOGDMmzNZKIZO/q1auws7PD+vXrizx3jqgoe/bsQfv27XHq1Ck4OTnJvP/nz5/D0NAQU6ZMweTJk2XePxER/Rh4JhoRERERfXerVq2ChoYGOnToUNqh0A/m3bt3Uu+zsrKwZMkSaGlpoVatWt9kzNDQUGRlZTHhS0T0H8cz0YiIiIjou/nrr78QExODP/74Az4+PsV+QiJRjqFDh+Ldu3dwcHBARkYGdu3ahTNnzmDGjBlQVVWV6Vh///03YmJiEBgYiHbt2sHMzEym/RMR0Y+FSTQiIiIi+m6GDh2KJ0+eoGXLlkU+sIMoP02bNkVQUBD279+P9+/fw9LSEkuWLIGPj4/Mx5o6dSrOnDkDJyenfJ/US0RE/y08E42IiIiIiIiIiKgIPBONiIiIiIiIiIioCEyiERERERERERERFeE/dyZadnY2Hj16BE1NTUgkktIOh4iIiIiIiIiISpEgCHj79i2MjIwgJ1fwerP/XBLt0aNHMDExKe0wiIiIiIiIiIjoX+T+/fuoUKFCgdf/c0k0TU1NAJ9ujJaWVilHQ0REREREREREpenNmzcwMTERc0YF+c8l0XK2cGppaTGJRkREREREREREAFDksV98sAAREREREREREVERmEQjIiIiIiIiIiIqApNoRERERERERERERfjPnYlGREREREREPxZBEPDx40dkZWWVdihE9AOSl5eHgoJCkWeeFYVJNCIiIiIiIvrXyszMRHJyMtLT00s7FCL6gampqcHQ0BBKSkpf3AeTaERERERERPSvlJ2djYSEBMjLy8PIyAhKSkpfvZKEiP5bBEFAZmYmnj17hoSEBFhZWUFO7stON2MSjYiIiIiIiP6VMjMzkZ2dDRMTE6ipqZV2OET0g1JVVYWioiLu3buHzMxMqKiofFE/fLAAERERERER/at96aoRIqIcsvg9wt9ERERERERERERERWASjYiIiIiIiIiIqAhMohERERERERERERWhVJNoJ06cgLu7O4yMjCCRSLBnz54i20RGRqJWrVpQVlaGpaUlQkNDv3mcRERERERERFQ8jx8/xtChQ2FhYQFlZWWYmJjA3d0d4eHhxWofGhoKHR2dbxsk0Rco1SRaWloabG1tsWzZsmLVT0hIQKtWrdCkSRNER0djxIgR6Nu3Lw4fPvyNIyUiIiIiIiKioiQmJqJ27dr4+++/MXfuXFy/fh1hYWFo0qQJhgwZUtrhfZEPHz6Udgj0L1GqSTQ3NzdMnz4d7du3L1b9FStWwNzcHEFBQahSpQp8fHzQqVMnLFiw4BtHSkRERERERERFGTx4MCQSCaKiotCxY0dYW1ujWrVqGDVqFM6dOwcAmD9/PmrUqAF1dXWYmJhg8ODBSE1NBfBp91nv3r2RkpICiUQCiUQCf39/AEBGRgZ8fX1hbGwMdXV11K9fH5GRkVLjr1q1CiYmJlBTU0P79u0xf/78PKvali9fjkqVKkFJSQmVK1fGn3/+KXVdIpFg+fLlaNOmDdTV1TF9+nRYWlpi3rx5UvWio6MhkUgQFxcnuxtI/2o/1JloZ8+eRfPmzaXKXF1dcfbs2QLbZGRk4M2bN1IvIiIiIiIiIpKtly9fIiwsDEOGDIG6unqe6znJLDk5OSxevBg3btzAunXr8Pfff2Ps2LEAAEdHRyxcuBBaWlpITk5GcnIyfH19AQA+Pj44e/YstmzZgmvXrqFz585o0aIF7ty5AwA4ffo0Bg4ciOHDhyM6OhouLi4IDAyUimH37t0YPnw4Ro8ejX/++QcDBgxA7969ERERIVXP398f7du3x/Xr1+Ht7Y0+ffogJCREqk5ISAgaNWoES0tLmdw/+vdTKO0ASuLx48coX768VFn58uXx5s0bvHv3DqqqqnnazJw5EwEBAd8rxB9GE69pMu8zInSyTPuzm+4v0/4AIHqS7PukH0tLWx+Z9ympWE6m/R34i7+ziGSllbufzPvkzygRfS1Z/53Lv3Hp3yIuLg6CIMDGxqbQeiNGjBC/NjMzw/Tp0zFw4EAEBwdDSUkJ2trakEgkMDAwEOslJSUhJCQESUlJMDIyAgD4+voiLCwMISEhmDFjBpYsWQI3Nzcx6WZtbY0zZ85g//79Yj/z5s2Dl5cXBg8eDADiCrl58+ahSZMmuPHoEQDAtU0b1HN1xbv/tXNo0QJTpkzBlgMHUMPeHh8+fMCfGzbAd/JksU1Bqv0vXvrx/VAr0b7EhAkTkJKSIr7u379f2iERERERERER/XQEQShWvWPHjqFZs2YwNjaGpqYmevbsiRcvXiA9Pb3ANtevX0dWVhasra2hoaEhvo4fP474+HgAwK1bt1CvXj2pdp+/j42NhZOTk1SZk5MTYmNjpcqq2dpKvdc3MECjZs2wa8sWAEDk0aPIzMzEr+7uxZoz/Rx+qJVoBgYGePLkiVTZkydPoKWlle8qNABQVlaGsrLy9wiPiIiIiIiI6D/LysoKEokEN2/eLLBOYmIiWrdujUGDBiEwMBBly5bFqVOn4O3tjczMTKipqeXbLjU1FfLy8rh06RLk5eWlrmloaMh0HgCgmk8cHbt1w4ThwzHO3x97tm5FizZtCsxF0M/ph1qJ5uDgkOeRuEePHoWDg0MpRUREREREREREAFC2bFm4urpi2bJlSEtLy3P99evXuHTpErKzsxEUFIRffvkF1tbWePTZdkglJSVkZWVJldnb2yMrKwtPnz6FpaWl1Ctn22flypVx4cIFqXafv69SpQpOnz4tVXb69GlUrVq1yPk1bNYMqmpq2Lp+PU5HRqJ9ly5FtqGfS6km0VJTUxEdHY3o6GgAQEJCAqKjo5GUlATg01ZMT09Psf7AgQNx9+5djB07Fjdv3kRwcDC2bduGkSNHlkb4RERERERERJTLsmXLkJWVhXr16mHnzp24c+cOYmNjsXjxYjg4OMDS0hIfPnzAkiVLcPfuXfz5559YsWKFVB9mZmZITU1FeHg4nj9/jvT0dFhbW6NHjx7w9PTErl27kJCQgKioKMycORMHDhwAAAwdOhQHDx7E/PnzcefOHaxcuRKHDh2CRCIR+x4zZgxCQ0OxfPly3LlzB/Pnz8euXbvEc9QKIy8vj7adO2PhrFmoaG4Ouzp1ZHvz6F+vVJNoFy9ehL29Pezt7QF8OtDP3t4eU6ZMAQAkJyeLCTUAMDc3x4EDB3D06FHY2toiKCgIq1evhqura6nET0RERERERET/z8LCApcvX0aTJk0wevRoVK9eHS4uLggPD8fy5ctha2uL+fPnY/bs2ahevTo2btyImTNnSvXh6OiIgQMHokuXLtDT08OcOXMAfHoapqenJ0aPHo3KlSujXbt2uHDhAipWrAjg09lmK1aswPz582Fra4uwsDCMHDkSKioqYt/t2rXDokWLMG/ePFSrVg0rV65ESEgInJ2dizW/Dt264UNmJtpxFdp/kkQo7sl/P4k3b95AW1sbKSkp0NLSKu1wSg2fzkn/VXw6J9F/C5/OSUT/Rnw6Z/G9f/8eCQkJMDc3l0qEEBVXv379cPPmTZw8ebJY9Yt60ual8+fh3aULjl24AF09vWL1yadz/jsU9vukuLmiH+rBAkREREREREREBZk3bx5cXFygrq6OQ4cOYd26dQgODv7qfjMzMvDyxQsEBwXBtXXrYifQ6OfyQz1YgIiIiIiIiIioIFFRUXBxcUGNGjWwYsUKLF68GH379v3qfg/u2YNf69fH2zdvMGriRBlESj8irkQjIiIiIiIiop/Ctm3bvkm/7bp04TloxJVoRERERERERERERWESjYiIiIiIiIiIqAhMohERERERERERERWBSTQiIiIiIiIiIqIiMIlGRERERERERERUBCbRiIiIiIiIiIiIiqBQ2gEQERERERERlURLW5/vOt7Bq0u/63jfg5eXF16/fo09e/aUuO2tW7fQuHFj3LlzB5qamrIPTkbMzMwwYsQIjBgxorRDKbGSxB4WFobx48fj8uXLkJPjWqlviXeXiIiIiIiI6Bs4e/Ys5OXl0apVq9IOpUjOzs7FTjZNmDABQ4cOFRNokZGRkEgkqFatGrKysqTq6ujoIDQ0VMbR/jxCQ0Oho6OTp/zChQvo379/sfpo0aIFFBUVsXHjRhlHR59jEo2IiIiIiIjoG1izZg2GDh2KEydO4NGjR6UdjkwkJSVh//798PLyynPt7t27WL9+/fcP6iekp6cHNTW1Ytf38vLC4sWLv2FEBDCJRkRERERERCRzqamp2Lp1KwYNGoRWrVrlWY316tUr9OjRA3p6elBVVYWVlRVCQkIAAJmZmfDx8YGhoSFUVFRgamqKmTNnim3nz5+PGjVqQF1dHSYmJhg8eDBSU1PF6/7+/rCzs5Mab+HChTAzM8s3Vi8vLxw/fhyLFi2CRCKBRCJBYmJivnW3bdsGW1tbGBsb57k2dOhQ+Pn5ISMjo8D7kpSUhLZt20JDQwNaWlrw8PDAkydP8sT+559/wszMDNra2ujatSvevn1bYJ8A8PTpU7i7u0NVVRXm5ub5rsoqztgdXVywa8sWNK9bF3WtrDBtwgRkZWVhbXAwGtvZoVHNmli5aJFUv29SUjDF1xcNa9RA/cqV0adzZ9y8cUO8fvXqVTRp0gSamprQ0tJC7dq1cfHiRURGRqJ3795ISUkR77u/vz+AT9s5Fy5cKPbx+vVrDBgwAOXLl4eKigqqV6+O/fv3i9fd3d1x8eJFxMfHF3qf6OswiUZEREREREQkY9u2bYONjQ0qV66M3377DWvXroUgCOL1yZMnIyYmBocOHUJsbCyWL18OXV1dAMDixYuxb98+bNu2Dbdu3cLGjRulEmBycnJYvHgxbty4gXXr1uHvv//G2LFjvzjWRYsWwcHBAf369UNycjKSk5NhYmKSb92TJ0+iTp06+V4bMWIEPn78iCVLluR7PTs7G23btsXLly9x/PhxHD16FHfv3kWXLl2k6sXHx2PPnj3Yv38/9u/fj+PHj2PWrFmFzsHLywv3799HREQEduzYgeDgYDx9+rTEY9+/dw+n/v4bKzduxNxly7BryxYM9vTE4+RkhO7YgZETJ2LJnDm4dvmy2GbUgAF4+fw5lm/YgG2HDqFKjRro26ULUl69AgD06NEDFSpUwIULF3Dp0iWMHz8eioqKcHR0xMKFC6GlpSXed19f33zvm5ubG06fPo0NGzYgJiYGs2bNgry8vFinYsWKKF++PE6ePFnofaKvwwcLEBEREREREcnYmjVr8NtvvwH4dGZVSkoKjh8/DmdnZwCfVkXZ29uLCancSbKkpCRYWVmhQYMGkEgkMDU1leo799llZmZmmD59OgYOHIjg4OAvilVbWxtKSkpQU1ODgYFBoXXv3btXYBJNTU0Nfn5++P3339GvXz9oa2tLXQ8PD8f169eRkJAgJunWr1+PatWq4cKFC6hbty6AT0mj0NBQ8cy1nj17Ijw8HIGBgfmOe/v2bRw6dAhRUVFiH2vWrEGVKlVKPLaQnY1p8+dDXUMDlaytUc/REYnx8Vj+55+Qk5ODuaUl1i5bhqgzZ1CzVi1cjorCP9HROHH1KpSUlQEAY6ZMwd+HD+PIgQPo/NtvSEpKwpgxY2BjYwMAsLKykrr3Eomk0Pt+7NgxREVFITY2FtbW1gAACwuLPPWMjIxw7969Avuhr8eVaEREREREREQydOvWLURFRaFbt24AAAUFBXTp0gVr1qwR6wwaNAhbtmyBnZ0dxo4dizNnzojXvLy8EB0djcqVK2PYsGE4cuSIVP/Hjh1Ds2bNYGxsDE1NTfTs2RMvXrxAenr6N5/bu3fvoKKiUuB1b29vlCtXDrNnz85zLTY2FiYmJlKr3KpWrQodHR3ExsaKZWZmZlJP/TQ0NBRXlW3cuBEaGhri6+TJk4iNjYWCggJq164ttrGxsZE6sL+4YxuZmEBdQ0N8X05XFxZWVlJPvSynp4eXz58DAG7FxCA9LQ1O1aujrpWV+HqYlIT7/0tojRo1Cn379kXz5s0xa9asEm+5jI6ORoUKFcQEWkFUVVW/y2fgv4xJNCIiIiIiIiIZWrNmDT5+/AgjIyMoKChAQUEBy5cvx86dO5GSkgIAcHNzw7179zBy5Eg8evQIzZo1E7fy1apVCwkJCZg2bRrevXsHDw8PdOrUCQCQmJiI1q1bo2bNmti5cycuXbqEZcuWAfh0lhrwabtn7q2jAPDhwweZzE1XVxev/rdNMT8KCgoIDAzEokWLvvhhCoqKilLvJRIJsrOzAQBt2rRBdHS0+CpoVdyXUlCQ3rAnkUjyxINc8aSnpUFPXx87jxyReu0/cQK9Bw0C8OmstRs3bqBVq1b4+++/UbVqVezevbvYMamqqhar3suXL6Gnp1fsfqnkmEQjIiIiIiIikpGPHz9i/fr1CAoKkkr2XL16FUZGRti8ebNYV09PD7169cKGDRuwcOFC/PHHH+I1LS0tdOnSBatWrcLWrVuxc+dOvHz5EpcuXUJ2djaCgoLwyy+/wNraOk+ySk9PD48fP5ZKpEVHRxcat5KSErKysoqcn729PWJiYgqt07lzZ1SrVg0BAQFS5VWqVMH9+/dx//59sSwmJgavX79G1apVixwbADQ1NWFpaSm+VFVVYWNjg48fP+LSpUtivVu3buH169cyHTs/VWrUwPNnzyCvoICK5uZSrzJly4r1rK2tMXLkSBw5cgQdOnQQHyJRnPtes2ZNPHjwALdv3y6wzvv37xEfHw97e/svngsVjUk0IiIiIiIiIhnZv38/Xr16BW9vb1SvXl3q1bFjR3FL55QpU7B3717ExcXhxo0b2L9/v3iG1/z587F582bcvHkTt2/fxvbt22FgYAAdHR1YWlriw4cPWLJkCe7evYs///wTK1askIrB2dkZz549w5w5cxAfH49ly5bh0KFDhcZtZmaG8+fPIzExEc+fPxdXWn3O1dUVZ8+eLTLxM2vWLKxduxZpaWliWfPmzVGjRg306NEDly9fRlRUFDw9PdG4ceOvWlFWuXJltGjRAgMGDMD58+dx6dIl9O3bV2oF17ca26FhQ9jWro1hffrg9PHjeHj/Pq5cuIBFs2bhn6tX8f7dO/j4+CAyMhL37t3D6dOnceHCBfF7bWZmhtTUVISHh+P58+f5bsds3LgxGjVqhI4dO+Lo0aNISEjAoUOHEBYWJtY5d+4clJWV4eDg8MVzoaLxwQJERERERET0Qzl4dWlph1CgNWvWoHnz5nkO1QeAjh07Ys6cObh27RqUlJQwYcIEJCYmQlVVFQ0bNsSWLVsAfFptNWfOHNy5cwfy8vKoW7cuDh48CDk5Odja2mL+/PmYPXs2JkyYgEaNGmHmzJnw9PQUx6lSpQqCg4MxY8YMTJs2DR07doSvr6/USrfP+fr6olevXqhatSrevXuHhIQEqYcd5HBzc4OCggKOHTsGV1fXAvtr2rQpmjZtKnWem0Qiwd69ezF06FA0atQIcnJyaNGiRYFP8yyJkJAQ9O3bF40bN0b58uUxffp0TJ48+ZuPLZFIsPzPP7Fo9mxMHjUKL1+8gK6eHmr/8gvK6epCXl4eL168gKenJ548eQJdXV106NBBXKXn6OiIgQMHokuXLnjx4gX8/Pzg7++fZ5ydO3fC19cX3bp1Q1paGiwtLaWeWLp582b06NEDampqXzUfKpxE+Hyj9E/uzZs30NbWRkpKCrS0tEo7nFLTxGuazPuMCJ1cdKUSsJvuL9P+ACB6kuz7pB9LS1sfmfcpqVhOpv0d+Cug6EpEVCyt3P1k3id/Ronoa8n679yf+W/c9+/fIyEhAebm5oUeZk/f17Jly7Bv3z4cPny4tEORuRtfeI5bYaoZGcm8z9yeP3+OypUr4+LFizA3N/+mY/3ICvt9UtxcEVeiEREREREREVGxDRgwAK9fv8bbt2+lnqJJpSMxMRHBwcFMoH0HTKIRERERERERUbEpKChg4sSJpR0G/U+dOnVk/pRSyh8fLEBERERERERERFQEJtGIiIiIiIiIiIiKwCQaERERERERERFREZhEIyIiIiIiIiIiKgKTaEREREREREREREVgEo2IiIiIiIiIiKgITKIREREREREREREVQaG0AyAiIiIiIiIqiVbuft91vAN/BXzX8b6Wv78/9uzZg+jo6NIOhX5QiYmJMDc3x5UrV2BnZ1esNl5eXnj9+jX27NnzTWMrTVyJRkRERERERCRDXl5ekEgk4qtcuXJo0aIFrl27VtqhFWrDhg2wsbGBiooKzMzMMG3atGK1c3Z2lppvzmvgwIHFHjs0NBQ6OjpfGLlsxf7zD0b1749GtraoZWGBlk5O8BszBonx8aUd2ndjYmKC5ORkVK9evbRD+VdhEo2IiIiIiIhIxlq0aIHk5GQkJycjPDwcCgoKaN26daFtPnz48J2iyysxMRGenp5o164dYmNjsW3bNpibmxe7fb9+/cT55rzmzJnzDSPOX1ZWFrKzs7+4feTRo+ju7o7MzEzMXrIE+yIjMWvJEmhoamLJ3LkyjLT0CIKAjx8/FlpHXl4eBgYGUFDgBsbcmEQjIiIiIiIikjFlZWUYGBjAwMAAdnZ2GD9+PO7fv49nz54B+JS0kkgk2Lp1Kxo3bgwVFRVs3LgRALB69WpUqVIFKioqsLGxQXBwsFTf48aNg7W1NdTU1GBhYYHJkycXmoCLj4+HhYUFfHx8IAhCvnVyVo/16dMH5ubmqFevHn777bdiz1dNTU2cb85LS0tLaq67du1CkyZNoKamBltbW5w9exYAEBkZid69eyMlJUWMw9/fHwCQkZEBX19fGBsbQ11dHfXr10dkZKQ4bs4Ktn379qFq1apQVlZGUlJSsePOLT09HZNHjULDpk2xNDQUDo0aoULFiqhZqxbGTJkCv9mzxboXzp5F11atYG9uDmd7eyyYMUMqMeXVqRNmTJqEWVOmoEyZMihfvjxWrVqFtLQ09O7dG5qamrC0tMShQ4fENpGRkZBIJDh8+DDs7e2hqqqKpk2b4unTpzh06BCqVKkCLS0tdO/eHenp6WK77OxszJw5E+bm5lBVVYWtrS127NiRp99Dhw6hdu3aUFZWxqlTp5CdnY05c+bA0tISysrKqFixIgIDA6W+ZzlbgrOysuDt7S2OUblyZSxatOiL7vOPjClFIiIiIiIiom8oNTUVGzZsgKWlJcqVKyd1bfz48QgKCoK9vb2YSJsyZQqWLl0Ke3t7XLlyBf369YO6ujp69eoFANDU1ERoaCiMjIxw/fp19OvXD5qamhg7dmyesa9duwZXV1d4e3tj+vTpBcZobGyMOnXqwMfHB/v27YOKiopsbwKAiRMnYt68ebCyssLEiRPRrVs3xMXFwdHREQsXLsSUKVNw69YtAICGhgYAwMfHBzExMdiyZQuMjIywe/dutGjRAtevX4eVlRWAT8mv2bNnY/Xq1ShXrhz09fW/KL7Dhw/j1cuX6DNoUL7XtbS1AQBPkpMxuGdPtPXwwIxFi5AQFwf/MWOgpKyMIaNHi/X3bt+OPoMGISoqClu3bsWgQYOwe/dutG/fHr///jsWLFiAnj17IikpCWpqamI7f39/LF26FGpqavDw8ICHhweUlZWxadMmpKamon379liyZAnGjRsHAJg5cyY2bNiAFStWwMrKCidOnMBvv/0GPT09NG7cWOx3/PjxmDdvHiwsLFCmTBlMmDABq1atwoIFC9CgQQMkJyfj5s2b+c49OzsbFSpUwPbt21GuXDmcOXMG/fv3h6GhITw8PL7ofv+ImEQjIiIiIiIikrH9+/eLiaC0tDQYGhpi//79kJOT3hA2YsQIdOjQQXzv5+eHoKAgsczc3BwxMTFYuXKlmESbNGmSWN/MzAy+vr7YsmVLniTamTNn0Lp1a0ycOBGjcyV38tOvXz8IggALCwu4ublh79694koyd3d3mJqaYunSpQW2Dw4OxurVq6XKVq5ciR49eojvfX190apVKwBAQEAAqlWrhri4ONjY2EBbWxsSiQQGBgZi/aSkJISEhCApKQlGRkZiH2FhYQgJCcGMGTMAfNoGGxwcDFtb20LnWJQ7d+4AAMwtLQutt2XdOhgYGWFiYCAkEgksLC3x7PFjzJ8xA4NGjhS/x5WrVsWAESNgZWSECRMmYNasWdDV1UW/fv0AAFOmTMHy5ctx7do1/PLLL2L/06dPh5OTEwDA29sbEyZMEFcTAkCnTp0QERGBcePGISMjAzNmzMCxY8fg4OAAALCwsMCpU6ewcuVKqSTa1KlT4eLiAgB4+/YtFi1ahKVLl4qfq0qVKqFBgwb5zllRUREBAf//gA1zc3OcPXsW27ZtYxKNiIiIiIiIiL5ckyZNsHz5cgDAq1evEBwcDDc3N0RFRcHU1FSsV6dOHfHrtLQ0xMfHw9vbW0y0AMDHjx+h/b9VUACwdetWLF68GPHx8UhNTcXHjx/FhFeOpKQkuLi4IDAwECNGjCg01piYGISGhuLGjRuoUqUKvLy84OzsjLCwMOjr6+Off/4pcmtnjx49MHHiRKmy8uXLS72vWbOm+LWhoSEA4OnTp7Cxscm3z+vXryMrKwvW1tZS5RkZGVIr+pSUlKT6zk+1atVw7949AEDDhg2ltlHmKGir6+fuxsXBtnZtSCQSscyubl2kp6XhSXIyDI2NAQDWVaqI1+Xl5VGuXDnUqFFDLMu5P0+fPpXqP/dcypcvL27bzV0WFRUFAIiLi0N6erqYHMuRmZkJe3t7qbLcn7XY2FhkZGSgWbNmxZozACxbtgxr165FUlIS3r17h8zMzGI/ufNnwSQaERERERERkYypq6vDMteKptWrV0NbWxurVq2S2laprq4ufp2amgoAWLVqFerXry/Vn7y8PADg7Nmz6NGjBwICAuDq6gptbW1s2bIFQUFBUvX19PRgZGSEzZs3o0+fPnmSbLldu3YNysrKqFq1KgBg7dq16NKlC5ycnDB27Fi8ffsWbdq0KXS+2traUvPNj6Kiovh1TgKqsIcApKamQl5eHpcuXRLnnyNnlR8AqKqqSiW08nPw4EHx3DhVVdV86+Qk6xLi4mCXK+H0pT4/lF8ikRTrHnxeJ/f7nLKcNjmfmQMHDsD4f8m7HMrKylLvc3/WCroHBdmyZQt8fX0RFBQEBwcHaGpqYu7cuTh//nyJ+vnRMYlGRERERERE9I1JJBLIycnh3bt3BdYpX748jIyMcPfuXaltkLmdOXMGpqamUqu+clZY5aaqqor9+/ejZcuWcHV1xZEjR6CpqZlvn8bGxsjIyMD58+dRv359yMvLY9OmTWjTpg369++P+fPnlzjpUlJKSkrIysqSKrO3t0dWVhaePn2Khg0bflX/uVf/FeTXX39FmbJlsXb5cixesybP9TcpKdDS1oaFpSWOHTwIQRDERFj0hQtQ19BA+f+tsPtecj9MIffWzaJYWVlBVVUV4eHh6Nu3b5H1T58+DUdHRwwePFgsi4+P/6KYf2RMohERERERERHJWEZGBh4/fgzg03bOpUuXIjU1Fe7u7oW2CwgIwLBhw6CtrY0WLVogIyMDFy9exKtXrzBq1ChYWVkhKSkJW7ZsQd26dXHgwAHs3r07377U1dVx4MABuLm5wc3NDWFhYVIruHI0aNAAjo6O6NKlCxYuXIgaNWrgxo0bePToEdTV1bFp0yYMGDBA6vD7z6Wnp4vzzaGsrIwyZcoUdasAfDrbLTU1FeHh4bC1tYWamhqsra3Ro0cPeHp6ig9fePbsGcLDw1GzZk3xfDVZUVdXR8C8eRg1YAB8vLzQo08fVDQ3x6uXL3H4r7+Q/PAh5i1fjq69emHD6tWYMWkSuvXujcT4eCwLCoJn//55zrz71jQ1NeHr64uRI0ciOzsbDRo0QEpKCk6fPg0tLS3xvLPPqaioYNy4cRg7diyUlJTg5OSEZ8+e4caNG/D29s5T38rKCuvXr8fhw4dhbm6OP//8ExcuXIC5ufm3nuK/CpNoRERERERE9EM58FdA0ZVKWVhYmHjul6amJmxsbLB9+3Y4OzsX2q5v375QU1PD3LlzMWbMGKirq6NGjRriuWZt2rTByJEj4ePjg4yMDLRq1QqTJ0+Gv79/vv1paGjg0KFDcHV1RatWrXDw4EGpbX3Ap1VyYWFhCAgIwKhRo/Dw4UNYWlqif//+6Ny5M+rXr48ePXpg586dBSaJVq1ahVWrVkmVubq6IiwsrOibBcDR0REDBw5Ely5d8OLFC/j5+cHf3x8hISGYPn06Ro8ejYcPH0JXVxe//PILWrduXax+S6qpqys27N2L1UuXYpyPD1JTU2FgaIj6Tk4Y9r8HN5Q3NETwn38iaPp07HBxgbaODjp064YBw4d/k5iKMm3aNOjp6WHmzJm4e/cudHR0UKtWLfz++++Ftps8eTIUFBQwZcoUPHr0CIaGhhg4cGC+dQcMGIArV66gS5cukEgk6NatGwYPHpzv2XI/M4lQ3JPzfhJv3ryBtrY2UlJSCt0T/rNr4jVN5n1GhE6WaX920/1l2h8ARE+SfZ/0Y2lp6yPzPiUVyxVdqQR+hD8KiX4Urdz9ZN4nf0aJ6GvJ+u/cn/lv3Pfv3yMhIQHm5uZQUVEp7XDoP+DGo0cy77Pa/54sSqWrsN8nxc0Vfd91hkRERERERERERD8gJtGIiIiIiIiIiIiKwCQaERERERERERFREZhEIyIiIiIiIiIiKgKTaEREREREREREREVgEo2IiIiIiIiIiKgITKIREREREREREREVgUk0IiIiIiIiIiKiIjCJRkREREREREREVASF0g6AiIiIiIiIqCSaeE37ruNFhE7+ruN9LX9/f+zZswfR0dGlHQoVU2hoKEaMGIHXr18DyPs99PLywuvXr7Fnz55Si5G4Eo2IiIiIiIhIpry8vCCRSMRXuXLl0KJFC1y7dq20QyvUhg0bYGNjAxUVFZiZmWHatOIlK52dnaXmm/MaOHBgsccODQ2Fjo7OF0YuO7/Wr4/qxsaobmyM2pUq4df69TF6wACcP3WqVONatGgRQkNDSzUGYhKNiIiIiIiISOZatGiB5ORkJCcnIzw8HAoKCmjdunWhbT58+PCdossrMTERnp6eaNeuHWJjY7Ft2zaYm5sXu32/fv3E+ea85syZ8w0jzl9WVhays7O/qg8fX19EXrmC/SdOYMaiRdDU1kbfrl2xctEiGUVZctra2v+KJON/HZNoRERERERERDKmrKwMAwMDGBgYwM7ODuPHj8f9+/fx7NkzAJ+SVhKJBFu3bkXjxo2hoqKCjRs3AgBWr16NKlWqQEVFBTY2NggODpbqe9y4cbC2toaamhosLCwwefLkQhNw8fHxsLCwgI+PDwRByLdOzuqxPn36wNzcHPXq1cNvv/1W7PmqqamJ8815aWlpSc11165daNKkCdTU1GBra4uzZ88CACIjI9G7d2+kpKSIcfj7+wMAMjIy4OvrC2NjY6irq6N+/fqIjIwUx81ZwbZv3z5UrVoVysrKSEpKKnbc+VHX0ICuvj4MjY1R55df4D9nDgaMGIFl8+YhIS4OAODh5oaQFSvENsP69IGdqSnS09IAAI8fPUJ1Y2MkJSQUax5F8fLyQrt27cT3zs7OGDZsGMaOHYuyZcvCwMBAvGc5bt68iQYNGkBFRQVVq1bFsWPHIJFIuCX0KzCJRkRERERERPQNpaamYsOGDbC0tES5cuWkro0fPx7Dhw9HbGwsXF1dsXHjRkyZMgWBgYGIjY3FjBkzMHnyZKxbt05so6mpidDQUMTExGDRokVYtWoVFixYkO/Y165dQ4MGDdC9e3csXboUEokk33rGxsaoU6cOfHx88P79e9lNPpeJEyfC19cX0dHRsLa2Rrdu3fDx40c4Ojpi4cKF0NLSElex+fr6AgB8fHxw9uxZbNmyBdeuXUPnzp3RokUL3LlzR+w3PT0ds2fPxurVq3Hjxg3o6+vLPPae3t4QBAERR44AAOr+8gsunDkDABAEAZfOn4emlhYuR0UBAC6eO4fyBgao+L/VfMWZR0mtW7cO6urqOH/+PObMmYOpU6fi6NGjAD6tyGvXrh3U1NRw/vx5/PHHH5g4ceLX3AICk2hEREREREREMrd//35oaGhAQ0MDmpqa2LdvH7Zu3Qo5Oel/ho8YMQIdOnSAubk5DA0N4efnh6CgILGsQ4cOGDlyJFauXCm2mTRpEhwdHWFmZgZ3d3f4+vpi27ZteWI4c+YMnJ2d4evri+nTpxcab79+/SAIAiwsLODm5oY3b96I19zd3eHj41No++DgYHG+Oa+clXU5fH190apVK1hbWyMgIAD37t1DXFwclJSUoK2tDYlEIq5i09DQQFJSEkJCQrB9+3Y0bNgQlSpVgq+vLxo0aICQkBCx3w8fPiA4OBiOjo6oXLky1NTUCo31S2iXKYOyurp4eP8+AKCugwOuXLiArKws3IqJgaKSElq1b48L/1tdd+HsWdRxcACAYs+jpGrWrAk/Pz9YWVnB09MTderUQXh4OADg6NGjiI+Px/r162Fra4sGDRogMDDwK+8C8emcRERERERERDLWpEkTLF++HADw6tUrBAcHw83NDVFRUTA1NRXr1alTR/w6LS0N8fHx8Pb2Rr9+/cTyjx8/QltbW3y/detWLF68GPHx8UhNTcXHjx/FrZM5kpKS4OLigsDAQIwYMaLQWGNiYhAaGoobN26gSpUq8PLygrOzM8LCwqCvr49//vmnyK2dPXr0yLPSqXz58lLva9asKX5taGgIAHj69ClsbGzy7fP69evIysqCtbW1VHlGRobUij4lJSWpvvNTrVo13Lt3DwDQsGFDHDp0qND6+REEQVzJV6t+faSlpiL2n38QffEi6vzyC+o6OmLN0qUAgItnz6L3oEElmkdJfT5nQ0NDPH36FABw69YtmJiYwMDAQLxer169Lx6LPmESjYiIiIiIiEjG1NXVYWlpKb5fvXo1tLW1sWrVKqlVYerq6uLXqampAIBVq1ahfv36Uv3Jy8sDAM6ePYsePXogICAArq6u0NbWxpYtWxAUFCRVX09PD0ZGRti8eTP69OmTJ8mW27Vr16CsrIyqVasCANauXYsuXbrAyckJY8eOxdu3b9GmTZtC56utrS013/woKiqKX+ckowp7CEBqairk5eVx6dIlcf45NDQ0xK9VVVUL3Kaa4+DBg+K5caqqqoXWzc/rly/x6sULGFesCADQ0tZG5apVceHsWVy9dAkODRuiTv368B00CInx8biXkIA6v/xSonmUVO77CXy6p1/7UAUqHJNoRERERERERN+YRCKBnJwc3r17V2Cd8uXLw8jICHfv3kWPHj3yrXPmzBmYmppKrfrKWWGVm6qqKvbv34+WLVvC1dUVR44cgaamZr59GhsbIyMjA+fPn0f9+vUhLy+PTZs2oU2bNujfvz/mz5//RYmnklBSUkJWVpZUmb29PbKysvD06VM0bNjwq/rPvfrvS2xYswZycnJo5uoqltX55RdEnT6Nf6KjMWzcOGiXKQMLS0v8sXgx9MqXh1mlSjKfR3FVrlwZ9+/fx5MnT8QVgRcuXPguY//MeCYaERERERERkYxlZGTg8ePHePz4MWJjYzF06FCkpqbC3d290HYBAQGYOXMmFi9ejNu3b+P69esICQnB/PnzAQBWVlZISkrCli1bEB8fj8WLF2P37t359qWuro4DBw5AQUEBbm5u4kq3zzVo0ACOjo7o0qUL9uzZg/j4eISFheHRo0dQV1fHpk2bkJ6eXmjc6enp4nxzXq9evSrGnfrEzMwMqampCA8Px/Pnz5Geng5ra2v06NEDnp6e2LVrFxISEhAVFYWZM2fiwIEDxe67pNJSU/H86VMkP3yIi+fOwX/sWKxctAjDxo0THxQAAHUdHXHm+HHIKyjA4n+r8Oo6OODA7t3iKjQApTIPFxcXVKpUCb169cK1a9dw+vRpTJo0CQCKXLVHBeNKNCIiIiIiIvqhRIROLu0QihQWFiae+6WpqQkbGxts374dzs7Ohbbr27cv1NTUMHfuXIwZMwbq6uqoUaOGeK5ZmzZtMHLkSPj4+CAjIwOtWrXC5MmT4e/vn29/GhoaOHToEFxdXdGqVSscPHhQagsp8CmpEhYWhoCAAIwaNQoPHz6EpaUl+vfvj86dO6N+/fro0aMHdu7cmefBCDlWrVqFVatWSZW5uroiLCys6JsFwNHREQMHDkSXLl3w4sUL+Pn5wd/fHyEhIZg+fTpGjx6Nhw8fQldXF7/88gtat25drH6/xNJ587B03jwoKilBV08PNWvVwpqtW1HPyUmqXu169ZCdnS2VMKvr6IgNa9ag7v8eKpDje89DXl4ee/bsQd++fVG3bl1YWFhg7ty5cHd3h4qKyjcZ879AIgiCUJoBLFu2DHPnzsXjx49ha2uLJUuWFHrY3cKFC7F8+XIkJSVBV1cXnTp1wsyZM4v9IXjz5g20tbWRkpJS6J7wn10Tr2ky71PW/yGzm+4v0/4AIHqS7PukH0tL28KfKvQlJBW//DDQ/Bz4K0Cm/RH9l7Vy95N5n/wZJaKvJeu/c3/mv3Hfv3+PhIQEmJub8x/+9F3cePRI5n1WMzKSeZ9f4vTp02jQoAHi4uJQ6X9bTf9LCvt9UtxcUamuRNu6dStGjRqFFStWoH79+li4cCFcXV1x69Yt6Ovr56m/adMmjB8/HmvXroWjoyNu374NLy8vSCQScWkrEREREREREdF/3e7du6GhoQErKyvExcVh+PDhcHJy+k8m0GSlVM9Emz9/Pvr164fevXujatWqWLFiBdTU1LB27dp86585cwZOTk7o3r07zMzM8Ouvv6Jbt26Iior6zpETEREREREREf17vX37FkOGDIGNjQ28vLxQt25d7N27t7TD+qGVWhItMzMTly5dQvPmzf8/GDk5NG/eHGfPns23jaOjIy5duiQmze7evYuDBw+iZcuWBY6TkZGBN2/eSL2IiIiIiIiIiH5mnp6euH37Nt6/f48HDx4gNDQU5crJ9iia/5pS2875/PlzZGVliY9azVG+fHncvHkz3zbdu3fH8+fP0aBBAwiCgI8fP2LgwIH4/fffCxxn5syZCAjg2SVERERERERERPTlSnU7Z0lFRkZixowZCA4OxuXLl7Fr1y4cOHAA06YVfEj+hAkTkJKSIr7u37//HSMmIiIiIiIiIqKfQamtRNPV1YW8vDyePHkiVf7kyRMYGBjk22by5Mno2bMn+vbtCwCoUaMG0tLS0L9/f0ycODHfR+0qKytDWVlZ9hMgIiIiIiIiIqL/jFJbiaakpITatWsjPDxcLMvOzkZ4eDgcHBzybZOenp4nUSYvLw8AEATh2wVLRERERERERET/aaW2Eg0ARo0ahV69eqFOnTqoV68eFi5ciLS0NPTu3RvAp0PwjI2NMXPmTACAu7s75s+fD3t7e9SvXx9xcXGYPHky3N3dxWQaERERERERERGRrJVqEq1Lly549uwZpkyZgsePH8POzg5hYWHiwwaSkpKkVp5NmjQJEokEkyZNwsOHD6Gnpwd3d3cEBgaW1hSIiIiIiIiIiOg/oFSTaADg4+MDHx+ffK9FRkZKvVdQUICfnx/8/Py+Q2RERERERET0b1R/VMEPl/sWzs+fLNP+IiMj0aRJE7x69Qo6Ojpf3M/jx4/Rs2dPnDlzBoqKinj9+rXMYvwZeXl54fXr19izZ0+BdX6tXx89+/ZFz379iuxvz9atmO3vj7OxsTKMkv7NfqincxIRERERERH9m0kkkkJf/v7+MhtrwYIFSE5ORnR0NG7fvo3IyEhIJJIik2k59T5/TZo0Kd/renp6aNmyJa5fv56nr/v376NPnz4wMjKCkpISTE1NMXz4cLx48UKqnrOzMyQSCWbNmpWnj1atWhV6b4KCglCmTBm8f/8+z7X09HRoaWlh8eLFhc65uLYcPIhOv/0mk77o58MkGhEREREREZGMJCcni6+FCxdCS0tLqszX11dmY8XHx6N27dqwsrKCvr5+idvfunVLKrbx48fne/3w4cPIyMhAq1atkJmZKV6/e/cu6tSpgzt37mDz5s2Ii4vDihUrxAcGvnz5Uqo/ExMThIaGSpU9fPgQ4eHhMDQ0LDDOnj17Ii0tDbt27cpzbceOHcjMzMRvMkp8lS1XDqqqqjLpi34+TKIRERERERERyYiBgYH40tbWhkQikSrT0NAQ6166dAl16tSBmpoaHB0dcevWLam+9u7di1q1akFFRQUWFhYICAjAx48fAQBmZmbYuXMn1q9fD4lEAi8vLzRp0gQAUKZMGbGsMPr6+gXGlvt6rVq1MGLECNy/fx83b94Urw8ZMgRKSko4cuQIGjdujIoVK8LNzQ3Hjh3Dw4cPMXHiRKn+WrdujefPn+P06dNi2bp16/Drr78WmgTU19eHu7s71q5dm+fa2rVr0a5dO5QtWxb379+Hh4cHdHR0ULZsWbRt2xaJiYl52sybNw+GhoYoV64chgwZgg8fPojXfq1fH3+uWiW+f5OSgoCxY9HI1ha1LCzQrmlTRB49WmCsfx8+jM6urqhlYYEWDg4Inj9f/J7Rj49JNCIiIiIiIqJSMHHiRAQFBeHixYtQUFBAnz59xGsnT56Ep6cnhg8fjpiYGKxcuRKhoaHig/UuXLiAFi1awMPDA8nJyVi0aBF27twJ4P9XkC1atEgmcaakpGDLli0AACUlJQDAy5cvcfjwYQwePDjPyi0DAwP06NEDW7duhSAIYrmSkhJ69OiBkJAQsSw0NFRq3gXx9vbG33//jXv37olld+/exYkTJ+Dt7Y0PHz7A1dUVmpqaOHnyJE6fPg0NDQ20aNFCavVcREQE4uPjERERgXXr1iE0NDTP6rgc2dnZGPTbb7hy8SJmLVmCvRERGDFhAuTl5fOtf+n8efw+fDh+8/bG3ogITJk9G3u3bePDEH8iTKIRERERERERlYLAwEA0btwYVatWxfjx43HmzBnx3K+AgACMHz8evXr1goWFBVxcXDBt2jSsXLkSAKCnpwdlZWWoqqqKq97Kli0L4P9XkGlraxc6foUKFaChoSG+Pj/HLOe6jo4ONm3ahDZt2sDGxgYAcOfOHQiCgCpVquTbd5UqVfDq1Ss8e/ZMqrxPnz7Ytm0b0tLScOLECaSkpKB169ZF3itXV1cYGRnlScCZmJigWbNm2Lp1K7Kzs7F69WrUqFEDVapUQUhICJKSkqQeWlimTBksXboUNjY2aN26NVq1aoXw8PB8xzx78iSuR0dj4apVcGzUCCampnB2cUHDpk3zrb98/nx4DxmCth4eMDE1hWOjRvAZM0b8ntGPr9SfzklERERERET0X1SzZk3x65wzwZ4+fYqKFSvi6tWrOH36tNQqpqysLLx//x7p6elQU1P76vFPnjwJTU1N8X2ZMmXyXFdTU8O5c+cwY8YMrFixIk8fuVeaFYetrS2srKywY8cOREREoGfPnlBQKDo1IS8vj169eiE0NBR+fn4QBAHr1q1D7969IScnh6tXryIuLk5qPgDw/v17xMfHi++rVasmtZLM0NAw3wcmAMCtGzdQ3tAQZpUqFWtut2JicOXiRfyR6yEH2dnZyJDh94xKF5NoRERERERERKVAUVFR/FoikQD4lHQBgNTUVAQEBKBDhw552qmoqMhkfHNzc+jo6BR5vXLlynj69Cm6dOmCEydOAAAsLS0hkUgQGxuL9u3b52kbGxuLMmXKQE9PL8+1Pn36YNmyZYiJiUFUVFSx4+3Tpw9mzpyJv//+G9nZ2bh//z569+4N4NP9ql27NjZu3JinXe4Yct9z4NN9z7nnn1Mu4X1OT0/HkNGj0dzNTarcqnx5mX3PqHQxiUZERERERET0L1OrVi3cunULlpaWxW6Tc15ZVlaWzOMZMmQIZs6cid27d6N9+/YoV64cXFxcEBwcjJEjR0qdi/b48WNs3LgRnp6eYnIwt+7du8PX1xe2traoWrVqsWOoVKkSGjdujLVr10IQBDRv3hympqYAPt2vrVu3Ql9fH1paWl8/YQDWVargSXIyEuPji7UarUr16kiIj0dFc3OpcksjI5nEQ6WPZ6IRERERERER/ctMmTIF69evR0BAAG7cuIHY2Fhs2bIFkyZNKrCNqakpJBIJ9u/fj2fPniE1NVVm8aipqaFfv37iVkoAWLp0KTIyMuDq6ooTJ07g/v37CAsLg4uLC4yNjQs8UL9MmTJITk4u8Cyywnh7e2PXrl3YvXs3vL29xfIePXpAV1cXbdu2xcmTJ5GQkIDIyEgMGzYMDx48+KI513VwQO369TGyf3+cOXECD5KScPLvv3EqIiLf+oNGjsRfO3YgeP58xN26hfg7d3Bw795Cv2f0Y+FKNCIiIiIiIvqhnJ8/ubRD+OZcXV2xf/9+TJ06FbNnz4aioiJsbGzQt2/fAtsYGxuLDyTo3bs3PD09C3zy5Jfw8fHB/PnzsX37dnh4eMDKygoXL16En58fPDw88PLlSxgYGKBdu3bw8/MTH3SQn8K2kRamY8eO8PHxgby8PNq1ayeWq6mp4cSJExg3bhw6dOiAt2/fwtjYGM2aNfuqlWkLV63C3GnTMHbwYLx79w4VzcwwYsKEfOs6OTtj2bp1WL5gAdYuWwYFRUWYW1pi6KBBXzw+/btIhJKeAviDe/PmDbS1tZGSkiKzJZ4/oiZe02TeZ0SobP9DZjfdX6b9AUD0JNn3ST+WlrY+Mu9TUrGcTPs78FeATPsj+i9r5e4n8z75M0pEX0vWf+f+zH/jvn//HgkJCTA3N+eZUvRd3Hj0SOZ9VuN2zn+Fwn6fFDdXxO2cRERERERERERERWASjYiIiIiIiIiIqAhMohERERERERERERWBSTQiIiIiIiIiIqIiMIlGRERERERERERUBCbRiIiIiIiIiIiIisAkGhERERERERERURGYRCMiIiIiIiIiIioCk2hERERERERERERFUCjtAIiIiIiIiIhKwm66/3cdL3qSbMeLjIxEkyZN8OrVK+jo6HxxP48fP0bPnj1x5swZKCoq4vXr1zKLsTQV5/74+/tjz549iI6OLlafEokEu3fvRrt27WQWJ/33cCUaERERERERkYxIJJJCX/7+/jIba8GCBUhOTkZ0dDRu376NyMhISCSSYiXTsrKysGDBAtSoUQMqKiooU6YM3NzccPr0aal6oaGh+c5j9erVefp88uQJFBUVsWXLlnzH9Pb2Rq1atb5orp/z9fVFeHi4TPoiKi4m0YiIiIiIiIhkJDk5WXwtXLgQWlpaUmW+vr4yGys+Ph61a9eGlZUV9PX1i91OEAR07doVU6dOxfDhwxEbG4vIyEiYmJjA2dkZe/bskar/+RySk5PRo0ePPP2WL18erVq1wtq1a/NcS0tLw7Zt2+Dt7V3ieeZHQ0MD5cqVk0lfRMXFJBoRERERERGRjBgYGIgvbW1tSCQSqTINDQ2x7qVLl1CnTh2oqanB0dERt27dkupr7969qFWrFlRUVGBhYYGAgAB8/PgRAGBmZoadO3di/fr1kEgk8PLyQpMmTQAAZcqUEcvys23bNuzYsQPr169H3759YW5uDltbW/zxxx9o06YN+vbti7S0NLH+53MwMDCAqqpqvn17e3sjPDwcSUlJUuXbt2/Hx48f0aNHD2RnZ2PmzJkwNzeHqqoqbG1tsWPHjjx9FXZ//P39YWdnJ1V/7dq1qFatGpSVlWFoaAgfH598YwSA+/fvw8PDAzo6Oihbtizatm2LxMTEAusTAUyiEREREREREZWKiRMnIigoCBcvXoSCggL69OkjXjt58iQ8PT0xfPhwxMTEYOXKlQgNDUVgYCAA4MKFC2jRogU8PDyQnJyMRYsWYefOnQCAW7duiWX52bRpE6ytreHu7p7n2ujRo/HixQscPXr0i+bUsmVLlC9fHqGhoVLlISEh6NChA3R0dDBz5kysX78eK1aswI0bNzBy5Ej89ttvOH78eLHvz+eWL1+OIUOGoH///rh+/Tr27dsHS0vLfOt++PABrq6u0NTUxMmTJ3H69GloaGigRYsW+JCZ+UXzpv8GPliAiIiIiIiIqBQEBgaicePGAIDx48ejVatWeP/+PVRUVBAQEIDx48ejV69eAAALCwtMmzYNY8eOhZ+fH/T09KCsrAxVVVUYGBgAAMqWLQsA0NfXL/SBBbdv30aVKlXyvZZTfvv2bbEsJSVFagWdhoYGHj9+nG97eXl59OrVC6GhoZg8eTIkEgni4+Nx8uRJHD16FBkZGZgxYwaOHTsGBwcHcW6nTp3CypUrxftR1P353PTp0zF69GgMHz5cLKtbt26+MW7duhXZ2dlYvXo1JBIJgE9JPh0dHUSdPQunXDEQ5cYkGhEREREREVEpqFmzpvi1oaEhAODp06eoWLEirl69itOnT4srz4BPDwN4//490tPToaam9lVjC4JQ7Lqampq4fPmy+F5OrvBNbX369MGsWbMQERGBpk2bIiQkBGZmZmjatCliYmKQnp4OFxcXqTaZmZmwt7eXKivs/uT29OlTPHr0CM2aNSvWfK5evYq4uDhoampKlb9//x73ExMBJtGoAEyiEREREREREZUCRUVF8eucFVHZ2dkAgNTUVAQEBKBDhw552uW3EqskrK2tERsbm++1nHJra2uxTE5OrsCtkfmxsrJCw4YNERISAmdnZ6xfvx79+vWDRCJBamoqAODAgQMwNjaWaqesrCz1vrD7k1tB57MVJDU1FbVr18bGjRvzXHv+vzPniPLDJBoRERERERHRv0ytWrVw69atEiWvlJSUAHxasVaYrl27onv37vjrr7/ynIsWFBSEcuXK5VkpVlLe3t4YNGgQ2rRpg4cPH4oPOahatSqUlZWRlJQktXXza2hqasLMzAzh4eHiwxUKU6tWLWzduhX6+vrQ0tKSupbx6JFMYqKfEx8sQERERERERPQvM2XKFKxfvx4BAQG4ceMGYmNjsWXLFkyaNKnANqamppBIJNi/fz+ePXsmrvr6XNeuXdG+fXv06tULa9asQWJiIq5du4YBAwZg3759WL16NdTV1b8q/s6dO0NRUREDBgzAr7/+ChMTEwCfEl6+vr4YOXIk1q1bh/j4eFy+fBlLlizBunXrvng8f39/BAUFYfHixbhz547YZ3569OgBXV1dtG3bFidPnkRCQgIiIyMxbNgwPGYSjQrBlWhERERERET0Q4me5F/aIXxzrq6u2L9/P6ZOnYrZs2dDUVERNjY26Nu3b4FtjI2NxQcS9O7dG56ennmekgl82hq5bds2LFy4EAsWLMDgwYOhoqICBwcHREZGwsnJ6avjV1NTQ9euXfHHH3/kearmtGnToKenh5kzZ+Lu3bvQ0dFBrVq18Pvvv3/xeL169cL79++xYMEC+Pr6QldXF506dSowthMnTmDcuHHo0KED3r59C2NjYzRr1gwan52TRpSbRCjJaYI/gTdv3kBbWxspKSl5lm3+lzTxmibzPiNCJ8u0P7vp/jLtD/hv/MeWCtfS1kfmfUoqlpNpfwf+CpBpf0T/Za3c/WTeJ39Giehryfrv3J/5b9z3798jISEB5ubmX30OGFFx3PgGK9GqGRnJvE8qucJ+nxQ3V8TtnEREREREREREREVgEo2IiIiIiIiIiKgITKIREREREREREREVgUk0IiIiIiIiIiKiIjCJRkREREREREREVAQm0YiIiIiIiIiIiIrAJBoREREREREREVERmEQjIiIiIiIiIiIqApNoRERERERERERERVAo7QCIiIiIiIiISqLOisnfdbyLA6fJvE9/f3/s2bMH0dHRxaqfmJgIc3NzXLlyBXZ2djKP50diZmaGESNGYMSIEaUy/ofMTLRp0gQzFi6Efd26pRJDcXh5eeH169fYs2dPaYdSYiWJ/fnz56hatSouX76MChUqfNO4uBKNiIiIiIiISEbc3d3RokWLfK+dPHkSEokE165dg6+vL8LDw79zdKVDIpEgMTFRqmzdunWoW7cu1NTUoKmpicaNG2P//v1SdUJDQ6Gjo/P9AgXg1akT9mzdWmidrX/+CWMTE6kEWnVjY9SysMCjBw+k6g7r0wdeXl7fItSfQmJiIiQSSZ5k8qJFixAaGlqsPnR1deHp6Qk/Pz/ZB/gZJtGIiIiIiIiIZMTb2xtHjx7Fg8+SKQAQEhKCOnXqoGbNmtDQ0EC5cuVKIcLS5+vriwEDBqBLly64du0aoqKi0KBBA7Rt2xZLly4tlZgyMzOLVU8QBGwOCUGHbt3yXJNIJFg6d66sQ/tP0tbWLlECtXfv3ti4cSNevnz57YICk2hEREREREREMtO6dWvo6enlWUWTmpqK7du3w9vbG8Cn7Zy5t2VmZ2dj6tSpqFChApSVlWFnZ4ewsLBCx/rnn3/g5uYGDQ0NlC9fHj179sTz58/F687Ozhg2bBjGjh2LsmXLwsDAAP7+/lJ9vH79GgMGDED58uWhoqKC6tWrS60IO3XqFBo2bAhVVVWYmJhg2LBhSEtL+7KbA+DcuXMICgrC3Llz4evrC0tLS1SpUgWBgYEYMWIERo0ahfv37yMyMhK9e/dGSkoKJBIJJBKJVOzp6eno06cPNDU1UbFiRfzxxx9S49y/fx8eHh7Q0dFB2bJl0bZtW6nVcF5eXmjXrh0CAwNhZGSEypUrFyv+G9eu4f69e2jcrFmea928vLB/1y7cuXmzwPYZGRkYNmwY9PX1oaKiggYNGuDChQvi9cjISEgkEoSHh6NOnTpQU1ODo6Mjbt26VWhcWVlZGDVqFHR0dFCuXDmMHTsWgiB80diHDx+Gvb09VFVV0bRpUzx9+hSHDh1ClSpVoKWlhe7duyM9PV1sl52djZkzZ8Lc3ByqqqqwtbXFjh07xOuvXr1Cjx49oKenB1VVVVhZWSEkJAQAYG5uDgCwt7eHRCKBs7MzgP///uQeY86cObC0tISysjIqVqyIwMBA8Xq1atVgZGSE3bt3F3qfvhaTaEREREREREQyoqCgAE9PT4SGhkolMbZv346srCx0y2cFE/Bp+1pQUBDmzZuHa9euwdXVFW3atMGdO3fyrf/69Ws0bdoU9vb2uHjxIsLCwvDkyRN4eHhI1Vu3bh3U1dVx/vx5zJkzB1OnTsXRo0cBfEpMuLm54fTp09iwYQNiYmIwa9YsyMvLAwDi4+PRokULdOzYEdeuXcPWrVtx6tQp+Pj4fPH92bx5MzQ0NDBgwIA810aPHo0PHz5g586dcHR0xMKFC6GlpYXk5GQkJyfD19dXrBsUFIQ6dergypUrGDx4MAYNGiQmmj58+ABXV1doamri5MmTOH36NDQ0NNCiRQupFWfh4eG4desWjh49mmcraUEunz8PUwsLqGto5LlmX7cuGjdvjgUzZhTYfuzYsdi5cyfWrVuHy5cvw9LSEq6urnlWUE2cOBFBQUG4ePEiFBQU0KdPn0LjCgoKQmhoKNauXYtTp07h5cuXeRJKxR3b398fS5cuxZkzZ8Rk5MKFC7Fp0yYcOHAAR44cwZIlS8T6M2fOxPr167FixQrcuHEDI0eOxG+//Ybjx48DACZPnoyYmBgcOnQIsbGxWL58OXR1dQEAUVFRAIBjx44hOTkZu3btynd+EyZMwKxZs8S+Nm3ahPLly0vVqVevHk6ePFnoffpafLAAERERERERkQz16dMHc+fOxfHjx8WVNSEhIejYsSO0tbXzbTNv3jyMGzcOXbt2BQDMnj0bERERWLhwIZYtW5an/tKlS2Fvb48ZuRI2a9euhYmJCW7fvg1ra2sAQM2aNcWzoqysrLB06VKEh4fDxcUFx44dQ1RUFGJjY8X6FhYWYn8zZ85Ejx49xAP8rayssHjxYjRu3BjLly+HiopKse5H7mTi7du3UalSJSgpKeWpZ2RkBC0tLdy+fRtKSkrQ1taGRCKBgYFBnrotW7bE4MGDAQDjxo3DggULEBERgcqVK2Pr1q3Izs7G6tWrIZFIAHy6/zo6OoiMjMSvv/4KAFBXV8fq1aulYgnNtYIqP48ePID+Z8mb3EZMmIAOzZvj0vnzqF2/vtS1tLQ0LF++HKGhoXBzcwMArFq1CkePHsWaNWswZswYsW5gYCAaN24MABg/fjxatWqF9+/fF3jPFy5ciAkTJqBDhw4AgBUrVuDw4cNfNPb06dPh5OQE4NP25AkTJiA+Pl78bHTq1AkREREYN24cMjIyMGPGDBw7dgwODg4APn2GTp06hZUrV6Jx48ZISkqCvb096tSpA+DTgyFy6OnpAQDKlSuX7/cZAN6+fYtFixZh6dKl6NWrFwCgUqVKaNCggVQ9IyMjXLlyJd8+ZIUr0YiIiIiIiIhkyMbGBo6Ojli7di0AIC4uDidPnhS3cn7uzZs3ePTokZi4yOHk5ITY2Nh821y9ehURERHQ0NAQXzY2NgA+rSDLUbNmTal2hoaGePr0KQAgOjoaFSpUEBNo+Y0RGhoqNYarqyuys7ORkJBQjDuRv8+3GX6J3PPKSbTlzOvq1auIi4uDpqamGHfZsmXx/v17qXtTo0aNfJN5hcl4/x5KysoFXq9kbQ33Tp3yXY0WHx+PDx8+SH2fFRUVUa9evTzf59zzMzQ0BAA8ffoUSUlJUt+PGTNmICUlBcnJyaifK2mnoKAgJq2+Zuzy5ctDTU1NKrlavnx58V7HxcUhPT0dLi4uUnGtX79evNeDBg3Cli1bYGdnh7Fjx+LMmTMF3r/8xMbGIiMjA83y2UKbm6qqqtQ202+BK9GIiIiIiIiIZMzb2xtDhw7FsmXLEBISgkqVKokri2QhNTUV7u7umD17dp5rOUkX4FOiJDeJRILs7GwAn5IORY0xYMAADBs2LM+1ihUrfknYsLa2xqlTp5CZmZkngfXo0SO8efOmwKReboXNKzU1FbVr18bGjRvztMtZ+QR8WolWUjply+J2IWeeAcCQ0aPRulEjhBdxpl1hcs8vZzVddnY2KlSoIPUky7Jly37xGMUdu6h7DQAHDhyAsbGxVD3l/yUb3dzccO/ePRw8eBBHjx5Fs2bNMGTIEMybN69Y8RT1Oc3x8uVLqe/vt8CVaEREREREREQy5uHhATk5OWzatAnr169Hnz59xGTI57S0tGBkZITTp09LlZ8+fRpVq1bNt02tWrVw48YNmJmZwdLSUupV3ORQzZo18eDBA9y+fbvAMWJiYvL0b2lpWeIVXDm6du2K1NRUrFy5Ms+1efPmQVFRER07dgQAKCkpISsrq8Rj1KpVC3fu3IG+vn6euAvaTltcVapXR0J8fKGr6QyNjdHNywuLZs2Sij9nG2vu7/OHDx9w4cKFAr/Pn1NQUJCaT9myZaGtrQ1DQ0OcP39erPfx40dcunRJpmPnp2rVqlBWVkZSUlKee21iYiLW09PTQ69evbBhwwYsXLhQfBBEzueosO+zlZUVVFVVER4eXmgs//zzD+zt7b94LsXBJBoRERERERGRjGloaKBLly6YMGECkpOT4eXlVWj9MWPGYPbs2di6dStu3bqF8ePHIzo6GsOHD8+3/pAhQ/Dy5Ut069YNFy5cQHx8PA4fPozevXsXO/HUuHFjNGrUCB07dsTRo0eRkJCAQ4cOiU8FHTduHM6cOQMfHx9ER0fjzp072Lt371c9WMDBwQHDhw/HmDFjEBQUhPj4eNy8eROTJk0SH66Qk3wxMzNDamoqwsPD8fz582Jv1evRowd0dXXRtm1bnDx5EgkJCYiMjMSwYcPw4MGDL44dAOo5OiI9LQ1xRTwts5+PD549eYJzp06JZerq6hg0aBDGjBmDsLAwxMTEoF+/fkhPTy9wq29xDR8+HLNmzcKePXtw8+ZNDB48GK9fv/7mY2tqasLX1xcjR47EunXrEB8fj8uXL2PJkiVYt24dAGDKlCnYu3cv4uLicOPGDezfvx9VqlQBAOjr60NVVVV8MEZKSkqeMVRUVDBu3DiMHTtW3CZ67tw5rFmzRqyTnp6OS5cuiefdfSvczklEREREREQ/lIsDp5V2CMXi7e2NNWvWoGXLljAyMiq07rBhw5CSkoLRo0fj6dOnqFq1Kvbt2wcrK6t86+esXBs3bhx+/fVXZGRkwNTUFC1atICcXPHXy+zcuRO+vr7o1q0b0tLSYGlpiVmzZgH4tFLt+PHjmDhxIho2bAhBEFCpUiV06dKl+DchHwsXLkTNmjURHByMSZMmQV5eHrVq1cKePXvg7u4u1nN0dMTAgQPRpUsXvHjxAn5+fvD39y+yfzU1NZw4cQLjxo1Dhw4d8PbtWxgbG6NZs2bQ0tL6qth1ypZFsxYtsH/3boycMKHAetplyqDP4MFY9L97mWPWrFnIzs5Gz5498fbtW9SpUweHDx9GmTJlviqu0aNHIzk5Gb169YKcnBz69OmD9u3bSyWlvtXY06ZNg56eHmbOnIm7d+9CR0cHtWrVwu+//w7g02qzCRMmIDExEaqqqmjYsCG2bNkC4NPKusWLF2Pq1KmYMmUKGjZsiMjIyDxjTJ48GQoKCpgyZQoePXoEQ0NDDBw4ULy+d+9eVKxYEQ0bNvyquRRFIsjiRL8fyJs3b6CtrY2UlJSv/uH5kTXxkv1/dCJCJ8u0P7vp/jLtDwCiJ8m+T/qxtLT98v9rVhBJxXIy7e/AXwEy7Y/ov6yVu5/M++TPKBF9LVn/nfsz/437/v17JCQkwNzcvNhPgiT6GjcePSqyzq2YGPTr1g1hZ85ArRhbZ6sVkUClr/fLL79g2LBh6N69e4F1Cvt9UtxcEbdzEhEREREREREVU+WqVTHq99/xICmptEMhAM+fP0eHDh3QrVu3bz4Wt3MSEREREREREZVAu6/c0kqyo6uri7Fjx36XsbgSjYiIiIiIiIiIqAhMohERERERERERERWBSTQiIiIiIiIiIqIiMIlGRERERERERERUBCbRiIiIiIiIiIiIisAkGhERERERERERURGYRCMiIiIiIiIimfHy8kK7du0KrePs7IwRI0Z8l3iIZEWhtAMgIiIiIiIiKolOe8d+1/F2tJ1TovrPnj3DlClTcODAATx58gRlypSBra0tpkyZAicnJwCARCLB7t27i0w2yUpxx5NIJOLXmpqaqFy5MiZNmoS2bdt+4wiJ/v1KfSXasmXLYGZmBhUVFdSvXx9RUVGF1n/9+jWGDBkCQ0NDKCsrw9raGgcPHvxO0RIREREREREVrmPHjrhy5QrWrVuH27dvY9++fXB2dsaLFy9K1E9mZuY3irBwISEhSE5OxsWLF+Hk5IROnTrh+vXrpRJLSWRlZSE7O7u0w6CfWKkm0bZu3YpRo0bBz88Ply9fhq2tLVxdXfH06dN862dmZsLFxQWJiYnYsWMHbt26hVWrVsHY2Pg7R05ERERERESU1+vXr3Hy5EnMnj0bTZo0gampKerVq4cJEyagTZs2AAAzMzMAQPv27SGRSMT3/v7+sLOzw+rVq2Fubg4VFRWxz759+0JPTw9aWlpo2rQprl69KjXu3r17UatWLaioqMDCwgIBAQH4+PFjoeMVREdHBwYGBrC2tsa0adPw8eNHREREiNevX7+Opk2bQlVVFeXKlUP//v2Rmpqap5+AgAAx5oEDB+ZJCn78+BE+Pj7Q1taGrq4uJk+eDEEQxOsZGRnw9fWFsbEx1NXVUb9+fURGRorXQ0NDoaOjg3379qFq1apQVlbGqVOnoKioiMePH0uNNWLECDRs2LDQeRMVpVSTaPPnz0e/fv3Qu3dvVK1aFStWrICamhrWrl2bb/21a9fi5cuX2LNnD5ycnGBmZobGjRvD1tb2O0dORERERERElJeGhgY0NDSwZ88eZGRk5FvnwoULAP5/xVfOewCIi4vDzp07sWvXLkRHRwMAOnfujKdPn+LQoUO4dOkSatWqhWbNmuHly5cAgJMnT8LT0xPDhw9HTEwMVq5cidDQUAQGBhY5XmE+fvyINWvWAACUlJQAAGlpaXB1dUWZMmVw4cIFbN++HceOHYOPj49U2/DwcMTGxiIyMhKbN2/Grl27EBAQIFVn3bp1UFBQQFRUFBYtWoT58+dj9erV4nUfHx+cPXsWW7ZswbVr19C5c2e0aNECd+7cEeukp6dj9uzZWL16NW7cuIE6derAwsICf/75p1jnw4cP2LhxI/r06VOseRMVpNSSaJmZmbh06RKaN2/+/8HIyaF58+Y4e/Zsvm327dsHBwcHDBkyBOXLl0f16tUxY8YMZGVlFThORkYG3rx5I/UiIiIiIiIi+hYUFBQQGhqKdevWQUdHB05OTvj9999x7do1sY6enh6A/1/xlfMe+PRv5fXr18Pe3h41a9bEqVOnEBUVhe3bt6NOnTqwsrLCvHnzoKOjgx07dgD4tOJr/Pjx6NWrFywsLODi4oJp06Zh5cqVRY6Xn27dukFDQwPKysoYOXIkzMzM4OHhAQDYtGkT3r9/j/Xr16N69epo2rQpli5dij///BNPnjwR+1BSUsLatWtRrVo1tGrVClOnTsXixYultluamJhgwYIFqFy5Mnr06IGhQ4diwYIFAICkpCSEhIRg+/btaNiwISpVqgRfX180aNAAISEhYh8fPnxAcHAwHB0dUblyZaipqcHb21uqzl9//YX379+LcyD6UqWWRHv+/DmysrJQvnx5qfLy5cvnWXaZ4+7du9ixYweysrJw8OBBTJ48GUFBQZg+fXqB48ycORPa2triy8TERKbzICIiIiIiIsqtY8eOePToEfbt24cWLVogMjIStWrVQmhoaJFtTU1NpZJcV69eRWpqKsqVKyeuctPQ0EBCQgLi4+PFOlOnTpW63q9fPyQnJyM9Pb3E8S9YsADR0dE4dOgQqlatitWrV6Ns2bIAgNjYWNja2kJdXV2s7+TkhOzsbNy6dUsss7W1hZqamvjewcEBqampuH//vlj2yy+/SD3IwMHBAXfu3EFWVhauX7+OrKwsWFtbS83r+PHj4ryBT8m6mjVrSsXv5eWFuLg4nDt3DsCnbZ8eHh5SMRN9iR/q6ZzZ2dnQ19fHH3/8AXl5edSuXRsPHz7E3Llz4efnl2+bCRMmYNSoUeL7N2/eMJFGRERERERE35SKigpcXFzg4uKCyZMno2/fvvDz84OXl1eh7T5P9KSmpsLQ0FDqLLAcOjo6Yp2AgAB06NAh3zhKysDAAJaWlrC0tERISAhatmyJmJgY6Ovrl7ivL5Wamgp5eXlcunQJ8vLyUtc0NDTEr1VVVaUScQCgr68Pd3d3hISEwNzcHIcOHcr3/hGVVKkl0XR1dSEvLy+13BMAnjx5AgMDg3zbGBoaQlFRUeoHqEqVKnj8+DEyMzPFPdq5KSsrQ1lZWbbBExEREREREZVA1apVsWfPHvG9oqJioUcT5ahVqxYeP34MBQWFAh8IUKtWLdy6dQuWlpYF9lPc8T5Xr1491K5dG4GBgVi0aBGqVKmC0NBQpKWliQm/06dPQ05ODpUrVxbbXb16Fe/evYOqqioA4Ny5c9DQ0JBa1HL+/Hmpsc6dOwcrKyvIy8vD3t4eWVlZePr06Rc9EKBv377o1q0bKlSogEqVKsHJyanEfRB9rtS2cyopKaF27doIDw8Xy7KzsxEeHg4HB4d82zg5OSEuLk5qD/Xt27dhaGiYbwKNiIiIiIiI6Ht68eIFmjZtig0bNuDatWtISEjA9u3bMWfOHLRt21asZ2ZmhvDwcDx+/BivXr0qsL/mzZvDwcEB7dq1w5EjR5CYmIgzZ85g4sSJuHjxIgBgypQpWL9+PQICAnDjxg3ExsZiy5YtmDRpUonHy8+IESOwcuVKPHz4ED169ICKigp69eqFf/75BxERERg6dCh69uwpdVxTZmYmvL29ERMTg4MHD8LPzw8+Pj6Qk/v/NERSUhJGjRqFW7duYfPmzViyZAmGDx8OALC2tkaPHj3g6emJXbt2ISEhAVFRUZg5cyYOHDhQZMyurq7Q0tLC9OnT0bt37xLNl6ggpfp0zlGjRmHVqlVYt24dYmNjMWjQIKSlpYkfcE9PT0yYMEGsP2jQILx8+RLDhw/H7du3ceDAAcyYMQNDhgwprSkQERERERERiTQ0NFC/fn0sWLAAjRo1QvXq1TF58mT069cPS5cuFesFBQXh6NGjMDExgb29fYH9SSQSHDx4EI0aNULv3r1hbW2Nrl274t69e2LSytXVFfv378eRI0dQt25d/PLLL1iwYAFMTU1LPF5+WrRoAXNzcwQGBkJNTQ2HDx/Gy5cvUbduXXTq1AnNmjWTmhsANGvWDFZWVmjUqBG6dOmCNm3awN/fX6qOp6cn3r17h3r16mHIkCEYPnw4+vfvL14PCQmBp6cnRo8ejcqVK6Ndu3a4cOECKlasWGTMcnJy8PLyQlZWFjw9PUs0X6KCSARBEEozgKVLl2Lu3Ll4/Pgx7OzssHjxYtSvXx8A4OzsDDMzM6nDF8+ePYuRI0ciOjoaxsbG8Pb2xrhx4/LskS7ImzdvoK2tjZSUFGhpaX2LKf0QmnhNk3mfEaGTZdqf3XR/mfYHANGTZN8n/Vha2voUXamEJBXLybS/A38FFF2JiIqllXv+Z6Z+Df6MEtHXkvXfuT/z37jv379HQkICzM3Nv+hsL/pv8/b2xrNnz7Bv375it7nx6JHM46hmZCTzPqnkCvt9UtxcUak/WMDHxwc+Pvn/oza/g/8cHBzEJ2wQEREREREREeWWkpKC69evY9OmTSVKoBEVpdSTaEREREREREREstK2bVtERUVh4MCBcHFxKe1w6CfCJBoRERERERER/TTy29VGJAul+mABIiIiIiIiIiKiH8EXJdGaNm2K169f5yl/8+YNmjZt+rUxERERERERERER/at8URItMjISmZmZecrfv3+PkydPfnVQRERERERERERE/yYlOhPt2rVr4tcxMTF4/Pix+D4rKwthYWEwNjaWXXRERERERERERET/AiVKotnZ2UEikUAikeS7bVNVVRVLliyRWXBERERERERERET/BiVKoiUkJEAQBFhYWCAqKgp6enriNSUlJejr60NeXl7mQRIREREREREREZWmEp2JZmpqCjMzM2RnZ6NOnTowNTUVX4aGhkygEREREREREZHIzMwMCxcuLHb90NBQ6OjofLN4cnh5eaFdu3aF1+nUCbOmTPnmsdCPo0Qr0XK7c+cOIiIi8PTpU2RnZ0tdm8IPGREREREREX0jASf6fNfx/BqtLXGbx48fIzAwEAcOHMDDhw+hr68POzs7jBgxAs2aNfsGUf47XbhwAerq6jLtUyKRiF9ramqicuXKmDRpEtq2bSvTcYg+90VJtFWrVmHQoEHQ1dWFgYGB1AdYIpEwiUZERERERET/WYmJiXBycoKOjg7mzp2LGjVq4MOHDzh8+DCGDBmCmzdvlnaIMvHhwwcoKioWWif3MVCyFBISghYtWuDNmzcIDg5Gp06dcPnyZdSoUeObjCcrWVlZkEgkkJMr0cZA+pf4ou/a9OnTERgYiMePHyM6OhpXrlwRX5cvX5Z1jEREREREREQ/jMGDB0MikSAqKgodO3aEtbU1qlWrhlGjRuHcuXNivaSkJLRt2xYaGhrQ0tKCh4cHnjx5Il739/eHnZ0d1q5di4oVK0JDQwODBw9GVlYW5syZAwMDA+jr6yMwMFBqfIlEgpUrV6J169ZQU1NDlSpVcPbsWcTFxcHZ2Rnq6upwdHREfHy8VLu9e/eiVq1aUFFRgYWFBQICAvDx40epfpcvX442bdpAXV1dHPevv/5C3bp1oaKiAl1dXbRv315s8/l2zvnz56NGjRpQV1eHiYkJBg8ejNTU1BLfYx0dHRgYGMDa2hrTpk3Dx48fERERIV6/fv06mjZtClVVVZQrVw79+/fPd5yAgADo6elBS0sLAwcOxIfMTKnrWVlZCJw4Eb/Y2KBB9epYMmcOBEEQr2dmZGDu1KloWrs26lpaolvr1og6c0a8vmfrVujo6GDfvn2oWrUqlJWVcerUKSgqKuLx48dSY40YMQINGzYs8b2g7+eLkmivXr1C586dZR0LERERERER0Q/t5cuXCAsLw5AhQ/Ldxphz3ld2djbatm2Lly9f4vjx4zh69Cju3r2LLl26SNWPj4/HoUOHEBYWhs2bN2PNmjVo1aoVHjx4gOPHj2P27NmYNGkSzp8/L9Vu2rRp8PT0RHR0NGxsbNC9e3cMGDAAEyZMwMWLFyEIAnx8fMT6J0+ehKenJ4YPH46YmBisXLkSoaGheRJ0/v7+aN++Pa5fv44+ffrgwIEDaN++PVq2bIkrV64gPDwc9erVK/D+yMnJYfHixbhx4wbWrVuHv//+G2PHji3pbRZ9/PgRa9asAfDpgYcAkJaWBldXV5T5v/buPK7KMv//+PuAAbKLC4uDIu6YorllTgqFIi5l5WhkoUR82zQNcxsXJHVMJ01NzRWpRtOsLHOhlJ/YlCbmMkNp5jo4BkrT4IIhCPz+8Ov5egK5EQ8c1Nfz8TiPh+e6r/u6P/fhHDi9u677rlVLe/bs0bp167Rt2zaL85WklJQUHTp0SKmpqfrggw/0ySefaNGcORZ9Plu3Tvb29vpg40aNe/11vbd0qT5evdq8ffrEifrH3r3666JF+njbNvXs21cvPP20/nX8uLnPpUuXNHPmTC1fvlw//PCDOnTooMDAQL3//vvmPgUFBVq1apWefbZqlyrj5lRoOeef/vQnffnll3rhhResXQ8AAAAAALeto0ePqri4WC1atCizX0pKitLT03XixAn5+/tLkt577z21atVKe/bsUceOHSVdDdsSExPl5uamoKAghYaG6vDhw9q8ebPs7OzUvHlzzZw5U9u3b1fnzp3N40dHR2vgwIGSpLFjx6pLly6aNGmSwsPDJUkjRoxQdHS0uX9CQoLGjRunIUOGSJICAwM1depUjRkzRvHx8eZ+Tz31lMV+Tz75pJ588kklJCSY24KDg2943iNHjjT/OyAgQNOmTdMLL7ygRYsWlfl6/V5kZKTs7e3122+/qaioSAEBAebzXb16tfLy8vTee++Zg8wFCxaoX79+mjlzpry9vSVdDd0SExPl7OysVq1a6fXXX9eo117T8DFjzMstffz8NDYhQSaTSY2aNNGRH3/Ue8uWacDgwco8fVqfrl2rrWlpqufjc/V1f+EFfbN9u9avXauR48dLuhqQLVq0yOJ1iYmJ0cqVKzV69GhJV2fz5eXlmc8B1VOFQrQmTZpo0qRJ+vbbb9W6desSa6BfeeUVqxQHAAAAAMDt5PqlfmU5dOiQ/P39zQGaJAUFBcnT01OHDh0yh2gBAQFyc3Mz9/H29pa9vb3FNbW8vb119uxZi/HbtGljsV2SxfXCvL29lZeXp/Pnz8vd3V3/+Mc/9M0331jMPCssLFReXp4uXbokZ2dnSVKHDh0sjnPgwAHFxsaW65wladu2bZoxY4Z+/PFHnT9/XleuXClxjPJ46623FBYWpuPHj+vVV1/V/Pnz5eXlJenqaxscHGwxE7Br164qKirS4cOHza9HcHCwxTG7dOmiS7m5yvr5Z/n94Q+SpDb33WdxHfjg9u317pIlKiws1E+HDqmwsFB9frcEsyA/Xx61apmfOzg4WPw8pKt3B504caK+/fZb3X///UpKStLAgQOtfhMGWFeFQrSlS5fK1dVVO3bs0I4dOyy2mUwmQjQAAAAAwF2padOmMplMVrt5wO8nrZhMplLbioqKbrjftRCotLZr+128eFEJCQl6/PHHS9Tg5ORk/vfvQ56aNWuW+1xOnjypvn376sUXX9T06dPl5eWlr7/+WjExMcrPz7+pEM3Hx0dNmjRRkyZNtHLlSvXu3VsHDx5UvXr1yj3GrbqUmyt7e3t9uGWL7O3tLbY5X/c61axZ0yKIk6R69eqpX79+WrlypRo1aqQtW7YoNTW1KsrGLahQiHbixAlr1wEAAAAAwG3Py8tL4eHhWrhwoV555ZUSoVNOTo48PT3VsmVLnTp1SqdOnTLPRjt48KBycnIUFBRU5XXfd999Onz4sJo0aXJT+7Vp00YpKSkWSzxvZO/evSoqKtLs2bPNM+k+/PDDCtV7vU6dOql9+/aaPn265s2bp5YtWyopKUm5ubnm1/+bb74xL3+95h//+Id+++03cxD47bffytnFRT5+fuY+6fv3WxzrH/v2qUGjRrK3t1fLe+9VYWGhfv3Pf9T+uqW05fXcc88pMjJSf/jDH9S4cWN17dq1IqePKsQ9VQEAAAAAsKKFCxeqsLBQnTp10scff6wjR47o0KFDmj9/vrp06SJJCgsLU+vWrTV48GDt27dPaWlpioqKUvfu3UssmawKkydP1nvvvaeEhAT98MMPOnTokNasWaOJEyeWuV98fLw++OADxcfH69ChQ0pPT9fMmTNL7dukSRMVFBTo7bff1vHjx/X+++9r8eLFVql/5MiRWrJkiU6fPq3BgwfLyclJQ4YM0ffff6/t27dr+PDheuaZZ8xLOSUpPz9fMTExOnjwoDZv3qz4+HhFRkdbLJXNPH1as6ZM0YmjR7X500+1OjFRT8fESJICGjdWn8cf159HjNDWzZv174wMpe/fr2Vvv60d27YZ1hweHi53d3dNmzatXCEkbK9CM9GM7haRmJhYoWIAAAAAALjdBQYGat++fZo+fbpGjRqlzMxM1a1bV+3bt9c777wj6epyys8++0zDhw9Xt27dZGdnp169euntt9+2Sc3h4eHauHGjXn/9dc2cOVP33HOPWrRooeeee67M/UJCQrRu3TpNnTpVb7zxhtzd3dWtW7dS+wYHB2vOnDmaOXOmxo8fr27dumnGjBmKioq65fp79eqlRo0aafr06Vq0aJG++OILjRgxQh07dpSzs7OeeOIJzfndnTcffvhhNW3aVN26ddPly5cVGRmpF+PiLPo8MmCA8vLyFNm3r+zs7fV0TIz+9PTT5u3T5szRknnz9Obrr+tMVpZqeXmpzX33qXtYmGHNdnZ2Gjp0qP7yl79Y5TVA5TMVl/eqh9d57LHHLJ4XFBTo+++/V05Ojh566CF98sknVivQ2s6fPy8PDw+dO3dO7u7uti7HZkKHTrX6mNuTJll1vLbTplh1PEk6MNH6Y+L20jt4mHGnm2RqUNuq4236PMG4E4By6dMv3rjTTeIzCuBWWft77p38HTcvL08nTpxQo0aNLK7LBVSWH37+2epjtrpueejvxcTEKDs7Wxs2bLD6cWGprN8n5c2KKjQTbf369SXaioqK9OKLL6px48YVGRIAAAAAAOCucO7cOaWnp2v16tUEaLcRq10Tzc7OTnFxcXrrrbesNSQAAAAAAMAd59FHH1XPnj31wgsvqEePHrYuB+VUoZloN3Ls2DFduXLFmkMCAAAAAADcUVJTU21dAiqgQiFa3O8utFdcXKzMzExt2rRJQ4YMsUphAAAAAAAAQHVRoRBt//79Fs/t7OxUt25dzZ492/DOnQAAAAAAAMDtpkIh2vbt261dBwAAAAAAAFBt3dI10bKzs3X48GFJUvPmzVW3bl2rFAUAAAAAAABUJxW6O2dubq6effZZ+fr6qlu3burWrZv8/PwUExOjS5cuWbtGAAAAAAAAwKYqFKLFxcVpx44d+vzzz5WTk6OcnBx99tln2rFjh0aNGmXtGgEAAAAAAACbqlCI9vHHH2vFihWKiIiQu7u73N3d1bt3by1btkwfffSRtWsEAAAAAADlNGXKFLVt29bWZdyVJowcqVfu0hsuDh06VP3797d1GZWqQtdEu3Tpkry9vUu016tXj+WcAAAAAIBKtX53tyo93mOdv7qp/kOHDtW7775rfu7l5aWOHTtq1qxZatOmjbXLs5q//e1vmjZtmk6ePCkfHx/FxMRo0qRJhvuFhIRox44dJdqff/55LV68uFzHTkpK0siRI5WTk3OzZVvd/j17tHT+fP1j717l5eWpYaNG6j9woJ5+7jnZ29tLkk6fOqXw++/XR198oRb33muTOk+ePKlGjRqZn3t5eal9+/aaOXOm2rVrV+X1zJs3T8XFxVV+3KpUoZloXbp0UXx8vPLy8sxtv/32mxISEtSlSxerFQcAAAAAwO2oV69eyszMVGZmplJSUlSjRg317du3zH0KCgqqqLqSTp48qaioKPXv31+HDh3Shx9+aBHQGImNjTWf77XHrFmzKrHi0hUWFqqoqKjC+2/bskXRAwbI29dXiR9+qM937NDgmBgtmT9fo1980SYhkdE5bdu2TZmZmfriiy908eJFRURE3DCMrMz3mIeHhzw9PStt/OqgQiHa3Llz9c033+gPf/iDHn74YT388MPy9/fXN998o3nz5lm7RgAAAAAAbiuOjo7y8fGRj4+P2rZtq3HjxunUqVPKzs6WdDW0MplMWrt2rbp37y4nJyetWrVKkrR8+XK1bNlSTk5OatGihRYtWmQx9tixY9WsWTM5OzsrMDBQkyZNKjMcOXbsmAIDAzVs2LAbhkAmk0kmk0nPPvusGjVqpE6dOunpp58u9/k6Ozubz/faw93d3eJcP/nkE4WGhsrZ2VnBwcHatWuXJCk1NVXR0dE6d+6cuY4pU6ZIki5fvqzXXntN9evXl4uLizp37qzU1FTzcZOSkuTp6akNGzYoKChIjo6OysjIKHfd18vNzdWU0aMV0rOnpsyapRb33qv6/v4a8NRT+stbb+nLTZuUvGGDJCn8/vslSQPCw3Vv/foaOmCAxVgrFy9WSLt26tqqlV5++WWLn4+1z6l27dry8fFRhw4d9Oabb+rMmTPavXt3hd9j1/b78MMP9eCDD6pmzZrq2LGjfvrpJ+3Zs0cdOnSQq6urIiIizO9nqeRyzo8++kitW7dWzZo1Vbt2bYWFhSk3N9e8vawa8vPzNWzYMPn6+srJyUkNGzbUjBkzyvNjrFQVWs7ZunVrHTlyRKtWrdKPP/4oSYqMjNTgwYNVs2ZNqxYIAAAAAMDt7OLFi/rb3/6mJk2aqHbt2hbbxo0bp9mzZ6tdu3bmkGPy5MlasGCB2rVrp/379ys2NlYuLi4aMmSIJMnNzU1JSUny8/NTenq6YmNj5ebmpjFjxpQ49j//+U+Fh4crJiZG06ZNu2GN9evXV4cOHTRs2DBt2LBBTk5O1n0RJE2YMEFvvvmmmjZtqgkTJigyMlJHjx7VAw88oLlz52ry5Mk6fPiwJMnV1VWSNGzYMB08eFBr1qyRn5+f1q9fr169eik9PV1NmzaVdPWSUzNnztTy5ctVu3Zt1atXr0L1ffnll8r573819PnnS2wL6dlTAYGB2vLZZ4p49FF9sGmTIvv00fI1a9SkeXPdc8895r5pO3eqTr16Sly3ThknTmjMSy+pbdu2io2NrfRzupbJ5Ofnm9sq8h6TpPj4eM2dO1cNGjTQs88+q6eeekpubm6aN2+enJ2dNXDgQE2ePFnvvPNOiToyMzMVGRmpWbNm6bHHHtOFCxf097//3RziGtUwf/58bdiwQR9++KEaNGigU6dO6dSpU+V6DSpThUK0GTNmyNvb2/wGuCYxMVHZ2dkaO3asVYoDAAAAAOB2tHHjRnMQlJubK19fX23cuFF2dpYLwkaOHKnHH3/c/Dw+Pl6zZ882tzVq1EgHDx7UkiVLzAHHxIkTzf0DAgL02muvac2aNSVCtJ07d6pv376aMGGCRo0aVWa9sbGxKi4uVmBgoCIiIvTZZ5+ZZ5L169dPDRs21IIFC264/6JFi7R8+XKLtiVLlmjw4MHm56+99pr69OkjSUpISFCrVq109OhRtWjRQh4eHjKZTPLx8TH3z8jI0MqVK5WRkSE/Pz/zGMnJyVq5cqX+8pe/SLq6RHHRokUKDg4u8xyN/PTTT5KkwP8Nsn6vUZMmOnn8uCTJ63/DUM9atVTndwGXu4eHJkyfLnt7ewU2aaI+ffooJSVFsbGxlXpOOTk5mjp1qlxdXdWpUyf99ttvkir2HrtWV3h4uCRpxIgRioyMVEpKirp27SpJiomJUVJSUqm1ZGZm6sqVK3r88cfVsGFDSVcnZJW3hoyMDDVt2lR//OMfZTKZzGPYWoVCtCVLlmj16tUl2lu1aqUnn3ySEA0AAAAAcFcLDQ01z9D573//q0WLFikiIkJpaWkWgUCHDh3M/87NzdWxY8cUExNjMWnlypUr8vDwMD9fu3at5s+fr2PHjunixYu6cuWKOfC6JiMjQz169ND06dM1cuTIMms9ePCgkpKS9MMPP6hly5YaOnSoQkJClJycrHr16un77783XNo5ePBgTZgwwaLt9zckvP6mCr6+vpKks2fPqkWLFqWOmZ6ersLCQjVr1syi/fLlyxYz+hwcHAxv2NCqVSv961//kiQ9+OCD2rJlyw373up1zxo3a2a+AYF09VzT09MlWfecrnnggQdkZ2en3NxcBQYGau3atfL29tbJkyclVew9Jln+vK79LK8Pwry9vXX27NlSawoODtbDDz+s1q1bKzw8XD179tSAAQN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            "text/plain": [
              "<Figure size 1500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(15, 5))\n",
        "sns.countplot(x = 'Community', data = df, hue = 'Category', palette='viridis', order = df['Community'].value_counts().head(5).index).set_title('Top 5 Most dangerous Community and Crime Category')\n",
        "sns.move_legend(plt.gca(), \"upper right\")\n",
        "plt.figure(figsize=(15, 5))\n",
        "sns.countplot(x = 'Community', data = df, hue = 'Category', palette='viridis', order = df['Community'].value_counts().tail(5).index).set_title('Top 5 Most safest Community and Crime Category')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "THhoOUlQofC1"
      },
      "source": [
        "These two graphs shows the analysis of communities with the crime category. This help us to visualize the pattern of crime in each community. We can see that certain cateogries are more common in certain communities than others. In the top 5 dangerous communities, Forest Lawn has the highest of Break & Enter - other premises, Malbrough has the lowest Commerical Robbery. These are the few examples of the analysis."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VJgssn2lofC1"
      },
      "source": [
        "### Year and Category Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "rIE5JFpTofC2",
        "outputId": "76b40b3a-233e-40c3-88db-ab7f5fd0a627"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Crime Reportings by Year and Crime Category')"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(15, 5))\n",
        "sns.countplot(x = 'Year', data = df, hue = 'Category', palette='viridis').set_title('Crime Reportings by Year and Crime Category')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wvMaxxyZofC3"
      },
      "source": [
        "### Month and Category Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "5sPglhl7ofC3",
        "outputId": "d1b6a490-18d1-4fd3-da09-cf185b7d5cde"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Crime Reportings by Month and Crime Category')"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(15, 5))\n",
        "sns.countplot(x = 'Month', data = df, hue = 'Category', palette='viridis').set_title('Crime Reportings by Month and Crime Category')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OXnT-nX0ofC4"
      },
      "source": [
        "From the above, graphs, charts, and visualization I have studied the patterns, trends and relationships in the data. This will help me to build a better model for prediction."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LXoCvTcjofC4"
      },
      "source": [
        "## Data Preprocessing Part 2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "NU7UQatPofC5",
        "outputId": "1c5121cf-f5c6-47eb-c0df-2487e42a02d7"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 70661,\n  \"fields\": [\n    {\n      \"column\": \"Community\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 77,\n        \"min\": 0,\n        \"max\": 295,\n        \"num_unique_values\": 296,\n        \"samples\": [\n          276,\n          156,\n          85\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 8,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          4,\n          1,\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Crime Count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 1,\n        \"max\": 111,\n        \"num_unique_values\": 77,\n        \"samples\": [\n          5,\n          39,\n          10\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 2018,\n        \"max\": 2024,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          2022,\n          2019,\n          2021\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Month\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 1,\n        \"max\": 12,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          5,\n          9,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
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              "      <td>6</td>\n",
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              "        document.querySelector('#df-2ea7126f-51ba-4430-92f5-974563542756 button.colab-df-convert');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-2ea7126f-51ba-4430-92f5-974563542756');\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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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-634160ff-6410-46b9-9f67-8ea5b862bdb6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "   Community  Category  Crime Count  Year  Month\n",
              "0          0         0            1  2022     11\n",
              "1          0         1            1  2019      6\n",
              "2          0         1            1  2019      8\n",
              "3          0         1            2  2020      3\n",
              "4          0         1            2  2020      7"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "#Label Encoding Object\n",
        "le = LabelEncoder()\n",
        "\n",
        "#Object type columns\n",
        "object_type_columns = df.select_dtypes(include='object').columns\n",
        "\n",
        "#Label Encoding\n",
        "for col in object_type_columns:\n",
        "    df[col] = le.fit_transform(df[col])\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wbw6CQ5AofC5"
      },
      "source": [
        "## Building a Neural Network Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "QrTeZZjgofC6"
      },
      "outputs": [],
      "source": [
        "# Prepare sequences for LSTM\n",
        "def create_sequences(data, seq_length):\n",
        "    xs = []\n",
        "    ys = []\n",
        "    for i in range(len(data) - seq_length):\n",
        "        x = data.iloc[i:(i + seq_length)].to_numpy()\n",
        "        y = data.iloc[i + seq_length]['Crime Count']\n",
        "        xs.append(x)\n",
        "        ys.append(y)\n",
        "    return np.array(xs), np.array(ys)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "BT273-a7ofC7"
      },
      "outputs": [],
      "source": [
        "seq_length = 3\n",
        "X, y = create_sequences(df, seq_length)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mwI8FbhFofDd"
      },
      "source": [
        "### Train Test Split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "SaBrZ-WFofDe"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.3, random_state=42)\n",
        "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fxa0skNNofDe"
      },
      "source": [
        "### Building and Training the LSTM Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "NA8HYpulofDf"
      },
      "outputs": [],
      "source": [
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import LSTM, Dense, Dropout\n",
        "from tensorflow.keras.optimizers import Adam"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "gM5eL3VIo0qZ",
        "outputId": "d5695be4-55f4-4fc2-8082-40ce2fd90625"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 368.3250 - val_loss: 12.2236\n",
            "Epoch 2/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 13.1753 - val_loss: 9.2046\n",
            "Epoch 3/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 10.1402 - val_loss: 5.4251\n",
            "Epoch 4/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 6.6290 - val_loss: 4.8992\n",
            "Epoch 5/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 6.6735 - val_loss: 4.9798\n",
            "Epoch 6/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.6858 - val_loss: 5.1378\n",
            "Epoch 7/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.8741 - val_loss: 5.0281\n",
            "Epoch 8/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.6256 - val_loss: 4.8595\n",
            "Epoch 9/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.8799 - val_loss: 5.1668\n",
            "Epoch 10/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.6717 - val_loss: 4.9109\n",
            "Epoch 11/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.7738 - val_loss: 5.1230\n",
            "Epoch 12/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.8282 - val_loss: 5.1127\n",
            "Epoch 13/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.7929 - val_loss: 4.7676\n",
            "Epoch 14/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6273 - val_loss: 4.8039\n",
            "Epoch 15/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.8839 - val_loss: 4.8101\n",
            "Epoch 16/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.6465 - val_loss: 4.7539\n",
            "Epoch 17/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.5960 - val_loss: 5.1675\n",
            "Epoch 18/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4866 - val_loss: 6.1844\n",
            "Epoch 19/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5935 - val_loss: 4.6616\n",
            "Epoch 20/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.9473 - val_loss: 5.1832\n",
            "Epoch 21/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5673 - val_loss: 4.7347\n",
            "Epoch 22/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5726 - val_loss: 5.0483\n",
            "Epoch 23/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.4310 - val_loss: 4.7352\n",
            "Epoch 24/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5576 - val_loss: 4.7369\n",
            "Epoch 25/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.6070 - val_loss: 4.7857\n",
            "Epoch 26/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.4853 - val_loss: 4.9823\n",
            "Epoch 27/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4301 - val_loss: 4.6676\n",
            "Epoch 28/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.7564 - val_loss: 6.6096\n",
            "Epoch 29/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.6978 - val_loss: 5.3235\n",
            "Epoch 30/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.6758 - val_loss: 5.1226\n",
            "Epoch 31/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.5496 - val_loss: 4.8413\n",
            "Epoch 32/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.3276 - val_loss: 4.9500\n",
            "Epoch 33/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5483 - val_loss: 4.9332\n",
            "Epoch 34/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.5993 - val_loss: 4.9068\n",
            "Epoch 35/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5452 - val_loss: 4.7737\n",
            "Epoch 36/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.7006 - val_loss: 4.7271\n",
            "Epoch 37/100\n",
            "3092/3092 [==============================] - 8s 2ms/step - loss: 5.4117 - val_loss: 4.9678\n",
            "Epoch 38/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4684 - val_loss: 5.2002\n",
            "Epoch 39/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.6481 - val_loss: 5.6867\n",
            "Epoch 40/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.5738 - val_loss: 4.7146\n",
            "Epoch 41/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4375 - val_loss: 4.7131\n",
            "Epoch 42/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4098 - val_loss: 4.8912\n",
            "Epoch 43/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4567 - val_loss: 4.8491\n",
            "Epoch 44/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5003 - val_loss: 4.9664\n",
            "Epoch 45/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5602 - val_loss: 4.6880\n",
            "Epoch 46/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.4180 - val_loss: 5.6115\n",
            "Epoch 47/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4679 - val_loss: 4.8983\n",
            "Epoch 48/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.8144 - val_loss: 4.8802\n",
            "Epoch 49/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.5283 - val_loss: 4.6533\n",
            "Epoch 50/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4935 - val_loss: 4.7072\n",
            "Epoch 51/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5349 - val_loss: 5.1914\n",
            "Epoch 52/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4986 - val_loss: 4.6977\n",
            "Epoch 53/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5809 - val_loss: 5.3368\n",
            "Epoch 54/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5513 - val_loss: 4.6322\n",
            "Epoch 55/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.6919 - val_loss: 4.6831\n",
            "Epoch 56/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.3303 - val_loss: 4.8628\n",
            "Epoch 57/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5249 - val_loss: 4.8582\n",
            "Epoch 58/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.6541 - val_loss: 4.9105\n",
            "Epoch 59/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6767 - val_loss: 4.8064\n",
            "Epoch 60/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5925 - val_loss: 4.8082\n",
            "Epoch 61/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.5196 - val_loss: 4.6729\n",
            "Epoch 62/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5900 - val_loss: 4.7126\n",
            "Epoch 63/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.3842 - val_loss: 5.2713\n",
            "Epoch 64/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.8055 - val_loss: 5.0269\n",
            "Epoch 65/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5551 - val_loss: 5.0761\n",
            "Epoch 66/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6513 - val_loss: 4.9608\n",
            "Epoch 67/100\n",
            "3092/3092 [==============================] - 7s 2ms/step - loss: 5.4326 - val_loss: 4.9216\n",
            "Epoch 68/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4771 - val_loss: 5.0531\n",
            "Epoch 69/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4703 - val_loss: 4.7350\n",
            "Epoch 70/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5293 - val_loss: 4.9257\n",
            "Epoch 71/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.3698 - val_loss: 4.8255\n",
            "Epoch 72/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4702 - val_loss: 5.0725\n",
            "Epoch 73/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6325 - val_loss: 4.7330\n",
            "Epoch 74/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4535 - val_loss: 5.1479\n",
            "Epoch 75/100\n",
            "3092/3092 [==============================] - 10s 3ms/step - loss: 5.4698 - val_loss: 4.6433\n",
            "Epoch 76/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6245 - val_loss: 4.9227\n",
            "Epoch 77/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5196 - val_loss: 4.7539\n",
            "Epoch 78/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5683 - val_loss: 4.6994\n",
            "Epoch 79/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5508 - val_loss: 4.7919\n",
            "Epoch 80/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5035 - val_loss: 5.4767\n",
            "Epoch 81/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5963 - val_loss: 4.9065\n",
            "Epoch 82/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5145 - val_loss: 5.0828\n",
            "Epoch 83/100\n",
            "3092/3092 [==============================] - 10s 3ms/step - loss: 5.5162 - val_loss: 4.8715\n",
            "Epoch 84/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6411 - val_loss: 5.6281\n",
            "Epoch 85/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.7950 - val_loss: 4.8154\n",
            "Epoch 86/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5023 - val_loss: 4.8846\n",
            "Epoch 87/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5841 - val_loss: 4.6612\n",
            "Epoch 88/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4837 - val_loss: 4.7223\n",
            "Epoch 89/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4101 - val_loss: 4.9879\n",
            "Epoch 90/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4269 - val_loss: 4.9915\n",
            "Epoch 91/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.7826 - val_loss: 5.6587\n",
            "Epoch 92/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.6136 - val_loss: 4.9782\n",
            "Epoch 93/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.4317 - val_loss: 4.9384\n",
            "Epoch 94/100\n",
            "3092/3092 [==============================] - 10s 3ms/step - loss: 5.6433 - val_loss: 5.0109\n",
            "Epoch 95/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.8415 - val_loss: 4.9563\n",
            "Epoch 96/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.7377 - val_loss: 4.7079\n",
            "Epoch 97/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.4252 - val_loss: 4.7204\n",
            "Epoch 98/100\n",
            "3092/3092 [==============================] - 10s 3ms/step - loss: 5.5803 - val_loss: 4.9075\n",
            "Epoch 99/100\n",
            "3092/3092 [==============================] - 9s 3ms/step - loss: 5.5518 - val_loss: 5.0284\n",
            "Epoch 100/100\n",
            "3092/3092 [==============================] - 8s 3ms/step - loss: 5.5170 - val_loss: 4.8733\n"
          ]
        }
      ],
      "source": [
        "# Build the LSTM model\n",
        "model = Sequential()\n",
        "model.add(LSTM(50, activation='relu', input_shape=(seq_length, X_train.shape[2])))\n",
        "model.add(Dropout(0.2))\n",
        "model.add(Dense(1))\n",
        "\n",
        "# Compile the model\n",
        "optimizer = Adam(learning_rate=0.001)\n",
        "model.compile(optimizer=optimizer, loss='mse')\n",
        "\n",
        "# Train the model\n",
        "history = model.fit(X_train, y_train, epochs=100, validation_data=(X_val, y_val), batch_size=16)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "Et4tbroxcUDZ",
        "outputId": "32e2044b-8fa1-413a-a6fb-3d5d8486ccff"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(history.history['loss'], label='Training Loss')\n",
        "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
        "plt.title('Training and Validation Loss Over Epochs')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "8xC-VAt0o3q_",
        "outputId": "bb1e022d-410f-4176-a246-bb0094508488"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "332/332 [==============================] - 0s 1ms/step - loss: 4.8978\n",
            "Test Loss: 4.897756576538086\n",
            "332/332 [==============================] - 1s 1ms/step\n",
            "Predictions: [3.5760155 2.0850606 2.3349957 ... 3.710539  1.8771566 3.2992563]\n",
            "True Values: [2 1 1 ... 1 2 2]\n"
          ]
        }
      ],
      "source": [
        "# Evaluate the model\n",
        "test_loss = model.evaluate(X_test, y_test)\n",
        "print(f'Test Loss: {test_loss}')\n",
        "\n",
        "# Predictions\n",
        "y_pred = model.predict(X_test)\n",
        "\n",
        "\n",
        "print(f'Predictions: {y_pred.flatten()}')\n",
        "print(f'True Values: {y_test.flatten()}')\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MIBsFyUFgPuS"
      },
      "source": [
        "## Model Evaluation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wYx9F8eDgnbN"
      },
      "source": [
        "### Actual vs Predicted Values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "Bkqzp2gjuGYF",
        "outputId": "81b814c6-a145-458d-dd1b-4187348548df"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plotting Actual vs Predicted Values\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(y_test, label='Actual Values')\n",
        "plt.plot(y_pred, label='Predicted Values')\n",
        "plt.title('Actual vs Predicted Crime Counts')\n",
        "plt.xlabel('Samples')\n",
        "plt.ylabel('Crime Count')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BYs7rRxbgrRv"
      },
      "source": [
        "### Residual Plot"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "mSUAyxnIgIpx",
        "outputId": "2c426234-97f0-42a8-dc28-2923cee24a90"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Calculating residuals\n",
        "residuals = y_test.flatten() - y_pred.flatten()\n",
        "\n",
        "# Plotting residuals\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(residuals, label='Residuals')\n",
        "plt.title('Residuals (Actual - Predicted) Over Samples')\n",
        "plt.xlabel('Samples')\n",
        "plt.ylabel('Residuals')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}