ANES 2020 data.ipynb

anes-2020-data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "QjyGR4fqT68W",
        "6WuGOhNMTmT4",
        "zyU9pCyHcDnt",
        "WN1aw2nScHxE"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "Download CSV from https://electionstudies.org/data-center/2020-exploratory-testing-survey/"
      ],
      "metadata": {
        "id": "I2XqFNN5IpXb"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TTTZ50lKGBMZ",
        "outputId": "8470ec97-cbfe-47d3-ff88-f23b74204272"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  anes_specialstudy_2020ets_csv.zip\n",
            "  inflating: /content/anes_pilot_2020ets_csv.csv  \n",
            "  inflating: /content/readme.txt     \n"
          ]
        }
      ],
      "source": [
        "!unzip anes_specialstudy_2020ets_csv.zip -d /content/"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
      "metadata": {
        "id": "09wb_ewwI7rk"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/anes_pilot_2020ets_csv.csv')\n",
        "\n",
        "'''\n",
        "impact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\n",
        "politically?\n",
        "'impact6' has the following scoring:\n",
        "  1: All the time\n",
        "  2: Often\n",
        "  3: Sometimes\n",
        "  4: Rarely\n",
        "  5: Never\n",
        "\n",
        "lcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\n",
        "conservative, or neither liberal nor conservative?\n",
        "'lcself' has the following scoring:\n",
        "  1: Very liberal\n",
        "  2: Somewhat Liberal\n",
        "  3: Closer to liberals\n",
        "  4. Neither liberal nor conservative\n",
        "  5: Closer to conservatives\n",
        "  6: Somewhat Conservative\n",
        "  7: Very Conservative\n",
        "'''\n",
        "df = df[['impact6', 'lcself', 'race1a_1', 'latin1']]"
      ],
      "metadata": {
        "id": "KHK5rQupI_SC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "white_df = df[(df['race1a_1'] == 1)] # Select whites out of the dataset"
      ],
      "cell_type": "code",
      "execution_count": null,
      "outputs": [],
      "metadata": {
        "cellView": "form",
        "id": "9vWAzRq0KRzc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Percentage calculation for excel visualizations:\n"
      ],
      "metadata": {
        "id": "2J2n4m9rcbRr"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## White respondents"
      ],
      "metadata": {
        "id": "cd-3NmOBcgTz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate percentages\n",
        "percentage_df = white_df.groupby('lcself')['impact6'].value_counts(normalize=True) * 100\n",
        "percentage_df = percentage_df.unstack()\n",
        "\n",
        "\n",
        "percentage_df.to_csv('percentages_white.csv')\n"
      ],
      "metadata": {
        "id": "4TuKqdCiRybH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## All Respondents"
      ],
      "metadata": {
        "id": "aruuEzhXdJBm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate percentages\n",
        "percentage_df = df.groupby('lcself')['impact6'].value_counts(normalize=True) * 100\n",
        "percentage_df = percentage_df.unstack()\n",
        "\n",
        "\n",
        "percentage_df.to_csv('percentages_all.csv')\n"
      ],
      "metadata": {
        "id": "M6keofTFcmuv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Count Plot"
      ],
      "metadata": {
        "id": "QjyGR4fqT68W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "ax = sns.countplot(x='impact6', hue='lcself', data=white_df, palette=custom_palette)\n",
        "plt.title('Distribution of Answers by Political Ideology (White Respondents)')\n",
        "plt.xlabel('How Often Do You Secretly Wish for Bad Things to Happen to Those Who Disagree with You Politically?')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "\n",
        "# Math stuff\n",
        "\n",
        "# Calculate counts and totals\n",
        "counts = white_df.groupby(['impact6', 'lcself']).size().reset_index(name='count')\n",
        "total_per_impact6 = white_df.groupby('impact6').size()\n",
        "\n",
        "# Get unique sorted impact6 values\n",
        "impact6_values = white_df['impact6'].dropna().unique()\n",
        "impact6_values.sort()  # Ensure sorted order matches plot\n",
        "\n",
        "# Get unique x positions (to match bars correctly)\n",
        "x_positions = sorted(set(p.get_x() for p in ax.patches))\n",
        "\n",
        "# Get all lcself category labels\n",
        "lcself_values = list(lcself_labels.keys())  # Ensure all labels are included\n",
        "\n",
        "# Group x-positions by impact6 (ensures correct mapping)\n",
        "grouped_x_positions = [x_positions[i:i + len(lcself_values)] for i in range(0, len(x_positions), len(lcself_values))]\n",
        "\n",
        "# Copied from a previously made graph\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the correct impact6 value by locating which group x_pos belongs to\n",
        "        impact6_idx = next((i for i, group in enumerate(grouped_x_positions) if x_pos in group), None)\n",
        "        if impact6_idx is None or impact6_idx >= len(impact6_values):\n",
        "            continue  # Skip if not found\n",
        "\n",
        "        impact6 = impact6_values[impact6_idx]\n",
        "\n",
        "        # Find the correct lcself value within the group\n",
        "        if x_pos in grouped_x_positions[impact6_idx]:\n",
        "            lcself_idx = grouped_x_positions[impact6_idx].index(x_pos)\n",
        "            if lcself_idx < len(lcself_values):\n",
        "                lcself = lcself_values[lcself_idx]\n",
        "            else:\n",
        "                continue  # Skip if out of range\n",
        "        else:\n",
        "            continue  # Skip if x_pos mapping failed\n",
        "\n",
        "        # Get count and calculate percentage\n",
        "        count = height\n",
        "        total = total_per_impact6.get(impact6, 1)  # Avoid division by zero\n",
        "        percentage = (count / total) * 100\n",
        "\n",
        "        # Add annotations\n",
        "        ax.text(x_pos + width / 2, height, f'{int(count)}\\n{percentage:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "        ax.text(.01, .99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "        ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)', ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "wYpkWS5nNp-e",
        "outputId": "6ec91ae3-476c-415d-9c97-9a0740906ee7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Percentage plot"
      ],
      "metadata": {
        "id": "6WuGOhNMTmT4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Define color palette\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "# Create figure\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "# Normalize counts within each impact6 group\n",
        "counts = white_df.groupby(['impact6', 'lcself']).size().reset_index(name='count')\n",
        "total_per_impact6 = white_df.groupby('impact6').size().reset_index(name='total')\n",
        "counts = counts.merge(total_per_impact6, on='impact6')\n",
        "counts['percentage'] = (counts['count'] / counts['total']) * 100  # Convert to percentage\n",
        "\n",
        "# Plot using normalized percentages instead of raw counts\n",
        "ax = sns.barplot(\n",
        "    x='impact6', y='percentage', hue='lcself', data=counts, palette=custom_palette\n",
        ")\n",
        "\n",
        "# Set labels and title\n",
        "plt.title('Distribution of Answers by Political Ideology (White Respondents)')\n",
        "plt.xlabel('How Often Do You Secretly Wish for Bad Things to Happen to Those Who Disagree with You Politically?')\n",
        "plt.ylabel('Percentage within Each Response Group')\n",
        "\n",
        "# Define x-axis labels\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "# Define ideological labels\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Update legend with ideological labels\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "# Add annotations for each bar\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the corresponding percentage\n",
        "        percentage_value = height  # Since y-axis is now percentage\n",
        "\n",
        "        # Annotate with percentage\n",
        "        ax.text(x_pos + width / 2, height, f'{percentage_value:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "\n",
        "# Add source text\n",
        "ax.text(0.01, 0.99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)',\n",
        "        ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "x2pkovKWTldb",
        "outputId": "ef89c8e9-ca50-4d24-e86d-0bfb5e70a0ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create mappings for impact6 and lcself\n",
        "impact6_mapping = {\n",
        "    1: 'All the time',\n",
        "    2: 'Often',\n",
        "    3: 'Sometimes',\n",
        "    4: 'Rarely',\n",
        "    5: 'Never'\n",
        "}\n",
        "\n",
        "lcself_mapping = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Map the numerical values to text\n",
        "df['impact6_text'] = df['impact6'].map(impact6_mapping)\n",
        "df['lcself_text'] = df['lcself'].map(lcself_mapping)\n",
        "\n",
        "df = df[['impact6', 'impact6_text', 'lcself', 'lcself_text', 'race1a_1']]\n",
        "white_df = df[(df['race1a_1'] == 1)] # Select whites out of the dataset\n",
        "\n",
        "white_df.to_csv('white_respondents.csv', index=False)\n"
      ],
      "metadata": {
        "id": "nk5RsbOTR91z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All respondents"
      ],
      "metadata": {
        "id": "GvZ3cd2mZ3NY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Percentages\n",
        "\\"
      ],
      "metadata": {
        "id": "zyU9pCyHcDnt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Define color palette\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "# Create figure\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "# Normalize counts within each impact6 group\n",
        "counts = df.groupby(['impact6', 'lcself']).size().reset_index(name='count')\n",
        "total_per_impact6 = df.groupby('impact6').size().reset_index(name='total')\n",
        "counts = counts.merge(total_per_impact6, on='impact6')\n",
        "counts['percentage'] = (counts['count'] / counts['total']) * 100  # Convert to percentage\n",
        "\n",
        "# Plot using normalized percentages instead of raw counts\n",
        "ax = sns.barplot(\n",
        "    x='impact6', y='percentage', hue='lcself', data=counts, palette=custom_palette\n",
        ")\n",
        "\n",
        "# Set labels and title\n",
        "plt.title('Distribution of Answers by Political Ideology (All Respondents)')\n",
        "plt.xlabel('How Often Do You Secretly Wish for Bad Things to Happen to Those Who Disagree with You Politically?')\n",
        "plt.ylabel('Percentage within Each Response Group')\n",
        "\n",
        "# Define x-axis labels\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "# Define ideological labels\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Update legend with ideological labels\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "# Add annotations for each bar\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the corresponding percentage\n",
        "        percentage_value = height  # Since y-axis is now percentage\n",
        "\n",
        "        # Annotate with percentage\n",
        "        ax.text(x_pos + width / 2, height, f'{percentage_value:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "\n",
        "# Add source text\n",
        "ax.text(0.01, 0.99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)',\n",
        "        ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XSCjhNlPZ5l9",
        "outputId": "d84ee858-586f-42e9-af77-7de57e28eeac"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "T5TfwgxccGYX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Count"
      ],
      "metadata": {
        "id": "WN1aw2nScHxE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "ax = sns.countplot(x='impact6', hue='lcself', data=df, palette=custom_palette)\n",
        "plt.title('Distribution of Answers by Political Ideology (All Respondents)')\n",
        "plt.xlabel('How Often Do You Secretly Wish for Bad Things to Happen to Those Who Disagree with You Politically?')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "\n",
        "# Math stuff\n",
        "\n",
        "# Calculate counts and totals\n",
        "counts = df.groupby(['impact6', 'lcself']).size().reset_index(name='count')\n",
        "total_per_impact6 = df.groupby('impact6').size()\n",
        "\n",
        "# Get unique sorted impact6 values\n",
        "impact6_values = df['impact6'].dropna().unique()\n",
        "impact6_values.sort()  # Ensure sorted order matches plot\n",
        "\n",
        "# Get unique x positions (to match bars correctly)\n",
        "x_positions = sorted(set(p.get_x() for p in ax.patches))\n",
        "\n",
        "# Get all lcself category labels\n",
        "lcself_values = list(lcself_labels.keys())  # Ensure all labels are included\n",
        "\n",
        "# Group x-positions by impact6 (ensures correct mapping)\n",
        "grouped_x_positions = [x_positions[i:i + len(lcself_values)] for i in range(0, len(x_positions), len(lcself_values))]\n",
        "\n",
        "# Copied from a previously made graph\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the correct impact6 value by locating which group x_pos belongs to\n",
        "        impact6_idx = next((i for i, group in enumerate(grouped_x_positions) if x_pos in group), None)\n",
        "        if impact6_idx is None or impact6_idx >= len(impact6_values):\n",
        "            continue  # Skip if not found\n",
        "\n",
        "        impact6 = impact6_values[impact6_idx]\n",
        "\n",
        "        # Find the correct lcself value within the group\n",
        "        if x_pos in grouped_x_positions[impact6_idx]:\n",
        "            lcself_idx = grouped_x_positions[impact6_idx].index(x_pos)\n",
        "            if lcself_idx < len(lcself_values):\n",
        "                lcself = lcself_values[lcself_idx]\n",
        "            else:\n",
        "                continue  # Skip if out of range\n",
        "        else:\n",
        "            continue  # Skip if x_pos mapping failed\n",
        "\n",
        "        # Get count and calculate percentage\n",
        "        count = height\n",
        "        total = total_per_impact6.get(impact6, 1)  # Avoid division by zero\n",
        "        percentage = (count / total) * 100\n",
        "\n",
        "        # Add annotations\n",
        "        ax.text(x_pos + width / 2, height, f'{int(count)}\\n{percentage:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "        ax.text(.01, .99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "        ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)', ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "SddAAdIIcL2G",
        "outputId": "02cb1328-05c5-4946-9b68-f405a24a0683"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#  Media involvement\n"
      ],
      "metadata": {
        "id": "S2kW3M4k-Gg1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/anes_pilot_2020ets_csv.csv')\n",
        "\n",
        "'''\n",
        "impact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\n",
        "politically?\n",
        "'impact6' has the following scoring:\n",
        "  1: All the time\n",
        "  2: Often\n",
        "  3: Sometimes\n",
        "  4: Rarely\n",
        "  5: Never\n",
        "\n",
        "lcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\n",
        "conservative, or neither liberal nor conservative?\n",
        "'lcself' has the following scoring:\n",
        "  1: Very liberal\n",
        "  2: Somewhat Liberal\n",
        "  3: Closer to liberals\n",
        "  4. Neither liberal nor conservative\n",
        "  5: Closer to conservatives\n",
        "  6: Somewhat Conservative\n",
        "  7: Very Conservative\n",
        "'''\n",
        "# df #= df[['impact6', 'impact7']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "AHUO1AOA-E-j",
        "outputId": "1889404f-741b-455b-b14d-4e23cc33ee5e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"\\nimpact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\\npolitically?\\n'impact6' has the following scoring:\\n  1: All the time\\n  2: Often\\n  3: Sometimes\\n  4: Rarely\\n  5: Never\\n\\nlcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\\nconservative, or neither liberal nor conservative?\\n'lcself' has the following scoring:\\n  1: Very liberal\\n  2: Somewhat Liberal\\n  3: Closer to liberals\\n  4. Neither liberal nor conservative\\n  5: Closer to conservatives\\n  6: Somewhat Conservative\\n  7: Very Conservative\\n\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "ax = sns.countplot(x='impact6', hue='impact7', data=df, palette=custom_palette)\n",
        "plt.title('Distribution of Answers by News Upset')\n",
        "plt.xlabel('How Often Do You Secretly Wish for Bad Things to Happen to Those Who Disagree with You Politically?')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "impact7_labels = {\n",
        "    1: 'Extremely Upset',\n",
        "    2: 'Very Upset',\n",
        "    3: 'Moderately Upset',\n",
        "    4: 'A little upset',\n",
        "    5: 'Not at all upset',\n",
        "    9: 'invalid'\n",
        "}\n",
        "\n",
        "\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [impact7_labels[int(label)] for label in labels], title='Lately, how upset do you get from reading, watching, or listening to the news?')\n",
        "\n",
        "\n",
        "# Math stuff\n",
        "\n",
        "# Calculate counts and totals\n",
        "counts = df.groupby(['impact6', 'impact7']).size().reset_index(name='count')\n",
        "total_per_impact6 = df.groupby('impact6').size()\n",
        "\n",
        "# Get unique sorted impact6 values\n",
        "impact6_values = df['impact6'].dropna().unique()\n",
        "impact6_values.sort()  # Ensure sorted order matches plot\n",
        "\n",
        "# Get unique x positions (to match bars correctly)\n",
        "x_positions = sorted(set(p.get_x() for p in ax.patches))\n",
        "\n",
        "# Get all impact7 category labels\n",
        "impact7_values = list(impact7_labels.keys())  # Ensure all labels are included\n",
        "\n",
        "# Group x-positions by impact6 (ensures correct mapping)\n",
        "grouped_x_positions = [x_positions[i:i + len(impact7_values)] for i in range(0, len(x_positions), len(impact7_values))]\n",
        "\n",
        "# Copied from a previously made graph\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the correct impact6 value by locating which group x_pos belongs to\n",
        "        impact6_idx = next((i for i, group in enumerate(grouped_x_positions) if x_pos in group), None)\n",
        "        if impact6_idx is None or impact6_idx >= len(impact6_values):\n",
        "            continue  # Skip if not found\n",
        "\n",
        "        impact6 = impact6_values[impact6_idx]\n",
        "\n",
        "        # Find the correct impact7 value within the group\n",
        "        if x_pos in grouped_x_positions[impact6_idx]:\n",
        "            impact7_idx = grouped_x_positions[impact6_idx].index(x_pos)\n",
        "            if impact7_idx < len(impact7_values):\n",
        "                impact7 = impact7_values[impact7_idx]\n",
        "            else:\n",
        "                continue  # Skip if out of range\n",
        "        else:\n",
        "            continue  # Skip if x_pos mapping failed\n",
        "\n",
        "        # Get count and calculate percentage\n",
        "        count = height\n",
        "        total = total_per_impact6.get(impact6, 1)  # Avoid division by zero\n",
        "        percentage = (count / total) * 100\n",
        "\n",
        "        # Add annotations\n",
        "        ax.text(x_pos + width / 2, height, f'{int(count)}\\n{percentage:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "        ax.text(.01, .99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "        ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)', ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 848
        },
        "id": "qTh_l-HO-cPZ",
        "outputId": "77d940ce-04e1-4c58-ee2f-8f7e08b35e19"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-51-79ab82ffabfb>:13: UserWarning: The palette list has more values (7) than needed (6), which may not be intended.\n",
            "  ax = sns.countplot(x='impact6', hue='impact7', data=df, palette=custom_palette)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vCXlTXJeFcw_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Remove erroneous data\n",
        "df = df.drop(df[df['impact7'] == 9].index)\n",
        "\n",
        "# Define color palette\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "# Create figure\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "# Normalize counts within each impact7 group\n",
        "counts = df.groupby(['impact7', 'lcself']).size().reset_index(name='count')\n",
        "total_per_impact7 = df.groupby('impact7').size().reset_index(name='total')\n",
        "counts = counts.merge(total_per_impact7, on='impact7')\n",
        "counts['percentage'] = (counts['count'] / counts['total']) * 100  # Convert to percentage\n",
        "\n",
        "# Plot using normalized percentages instead of raw counts\n",
        "ax = sns.barplot(\n",
        "    x='impact7', y='percentage', hue='lcself', data=counts, palette=custom_palette\n",
        ")\n",
        "\n",
        "# Set labels and title\n",
        "plt.title('Distribution of Answers by Political Ideology')\n",
        "plt.xlabel('Lately, how upset do you get from reading, watching, or listening to the news?')\n",
        "plt.ylabel('Percentage within Each Response Group')\n",
        "\n",
        "# Define x-axis labels\n",
        "plt.xticks([0, 1, 2, 3, 4], ['All the time', 'Often', 'Sometimes', 'Rarely', 'Never'])\n",
        "\n",
        "# Define ideological labels\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Update legend with ideological labels\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "# Add annotations for each bar\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the corresponding percentage\n",
        "        percentage_value = height  # Since y-axis is now percentage\n",
        "\n",
        "        # Annotate with percentage\n",
        "        ax.text(x_pos + width / 2, height, f'{percentage_value:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "\n",
        "# Add source text\n",
        "ax.text(0.01, 0.99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)',\n",
        "        ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "bR701eJLBWpB",
        "outputId": "9ced0d9c-e216-4439-bc7f-e392d548b724"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Speech"
      ],
      "metadata": {
        "id": "fOfzLbwEGmc9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/anes_pilot_2020ets_csv.csv')\n",
        "\n",
        "'''\n",
        "impact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\n",
        "politically?\n",
        "'impact6' has the following scoring:\n",
        "  1: All the time\n",
        "  2: Often\n",
        "  3: Sometimes\n",
        "  4: Rarely\n",
        "  5: Never\n",
        "\n",
        "lcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\n",
        "conservative, or neither liberal nor conservative?\n",
        "'lcself' has the following scoring:\n",
        "  1: Very liberal\n",
        "  2: Somewhat Liberal\n",
        "  3: Closer to liberals\n",
        "  4. Neither liberal nor conservative\n",
        "  5: Closer to conservatives\n",
        "  6: Somewhat Conservative\n",
        "  7: Very Conservative\n",
        "'''\n",
        "# df #= df[['impact6', 'impact7']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "xpif8UX0GoTR",
        "outputId": "f09b0471-f9f3-46c5-8df9-2498e94e3fd4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"\\nimpact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\\npolitically?\\n'impact6' has the following scoring:\\n  1: All the time\\n  2: Often\\n  3: Sometimes\\n  4: Rarely\\n  5: Never\\n\\nlcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\\nconservative, or neither liberal nor conservative?\\n'lcself' has the following scoring:\\n  1: Very liberal\\n  2: Somewhat Liberal\\n  3: Closer to liberals\\n  4. Neither liberal nor conservative\\n  5: Closer to conservatives\\n  6: Somewhat Conservative\\n  7: Very Conservative\\n\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Remove erroneous data\n",
        "df = df.drop(df[df['pcorrect'] == 9].index)\n",
        "\n",
        "# Define color palette\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "# Create figure\n",
        "plt.figure(figsize=(15, 8))\n",
        "\n",
        "# Normalize counts within each pcorrect group\n",
        "counts = df.groupby(['pcorrect', 'lcself']).size().reset_index(name='count')\n",
        "total_per_pcorrect = df.groupby('pcorrect').size().reset_index(name='total')\n",
        "counts = counts.merge(total_per_pcorrect, on='pcorrect')\n",
        "counts['percentage'] = (counts['count'] / counts['total']) * 100  # Convert to percentage\n",
        "\n",
        "# Plot using normalized percentages instead of raw counts\n",
        "ax = sns.barplot(\n",
        "    x='pcorrect', y='percentage', hue='lcself', data=counts, palette=custom_palette\n",
        ")\n",
        "\n",
        "# Set labels and title\n",
        "plt.title('Distribution of Answers by Political Ideology')\n",
        "plt.xlabel('Some think that the way people talk needs to change with the times to be more sensitive to people from different backgrounds. \\n Others think that this has already gone too far and many people are just too easily offended. Which is closer to your opinion?')\n",
        "plt.ylabel('Percentage within Each Response Group')\n",
        "\n",
        "# Define x-axis labels\n",
        "plt.xticks([0, 1, 2, 3], [' The way people talk needs to change a lot', 'The way people talk needs to change a little', 'People are a little too easily offended', 'People are much too easily offended'])\n",
        "\n",
        "# Define ideological labels\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Update legend with ideological labels\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "# Add annotations for each bar\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the corresponding percentage\n",
        "        percentage_value = height  # Since y-axis is now percentage\n",
        "\n",
        "        # Annotate with percentage\n",
        "        ax.text(x_pos + width / 2, height, f'{percentage_value:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "\n",
        "# Add source text\n",
        "ax.text(0.01, 0.99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)',\n",
        "        ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "apqpNczOGz4l",
        "outputId": "957967af-4dae-41ea-9b38-f1036b2b084d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x800 with 1 Axes>"
            ],
            "image/png": 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//UUqKiq0fPlySktLo3Xr1pGRkRHp6+tz+Zw/f5709PQoIiKCMjMz6dSpU2RjY0NhYWEyy6dMH6pMQEAA+fn5cdchISFkaWlJx48fpzt37lBAQAAZGhpSbm4uvX//niIjIwkApaWlUU5ODuXl5clM+99OeHg4r03EREdHEwBq3bo1xcTE0J07d6h9+/bk6enJxalq+5WVlZGJiQnt37+fiIgOHTpEJiYmZG5uzsXp0qULff/990RUrsvnzZtHCQkJdO/ePU5X7d27l4tvb29PP/74I3ddXFxMJiYmtGXLFpllBkDGxsa0ceNGSktLozlz5pCqqiolJydzaSiaQ1auXEl6enq0e/duSk1NpRkzZpC6ujqnQ8RjpF69evTHH39QcnIyBQcHk66uLj1//pxXxy9fviQi5fRORWTpDSKiVatW0blz5ygrK4vOnj1LDg4ONHbsWO7Zyu0eGhpKbm5uRESUlJRE5ubmXDvIq8d69erRrl27KCMjg0JCQkgkEnH6/uXLl2RqakqzZ8+mlJQUun79Ovn4+FDHjh25NBTNaQ8ePCBNTU2aMmUKN1+ZmZnx6q1Hjx7k4+NDN2/epMzMTDpy5AjFxsZKlTk3N5fq1atHCxYs4OqMiOjq1aukoqJCCxYsoLS0NAoPDyehUEjh4eEyy3/06FFSVVWlefPmUXJyMiUmJtIPP/zA3VdkqxARLVy4kOLi4igrK4sOHz5MZmZmtGzZMl67KNLXwcHBZG1tTWfOnKFbt25Rnz59SFdXlyZNmsSLI2/Ok4aiPiQNWfO3LL2al5dHHh4eNGrUKK493r9//8FjgyFJ5XmQiKhXr17UrFkzIlLcR5QZI9bW1qSrq0tLliyhtLQ0Wrt2LamqqtKpU6e4OBX7SHXsdWXmBbE9PWzYMLp9+zbdvn37o+VVmcp9t6KulaWznz59SgAoPDyccnJyOBu3ol4mKn8XsbCwoMjISLp37x5FRkaSkZERRURESJVF1vhS5l1Bnp0kC0V96NGjR7R8+XK6ceMGZWZmcv0jPj6eiIj++ecfUlNTo5UrV1JWVhbdvHmT1q1bR2/evOHatWIf9vLy4vTcw4cPSUVFha5cucLdv379OgkEAsrMzJQqr6J6yMvLowULFlC9evW4dpEWRqR4LlPGptq7dy9pamrSpk2bKDU1lb7//nvS1dWtUh948+YNmZqa0pAhQ+j27dt05MgRatiwIaeLGZ8XTC9XPS/xWGrTpg399ddfdP36dbK1tSUvLy/q2rUrXb9+nc6fP0/Gxsa0dOlSXj1U9G0QEbm5uXHjvbS0lNq0aUONGzemU6dOcfbk8ePHiahcl6urq1OXLl0oISGBrl27Rk5OTjRkyBCpcsp7n1SkX5XR0ZVRxk5S5L8aP348ubu7U0JCAmVlZdHp06fp8OHDRMS36Sq2g3iuGzVqFH311Vc8mXr16kXDhw+XKbOi9/GcnBzS09Oj1atXU05ODuXn50uEFRQUKPW+4eXlRXp6ehQWFkbp6em0detWEggE3DgoLS2lJk2aUOfOnSkxMZFiY2OpadOmVR4by5YtI0NDQ4qMjOT8FLq6uhLj/EuBOdFrAXlO9KFDh3LXZWVlVKdOHVq/fj0REW3fvp0cHByorKyMi1NUVERCoZBOnjwpNa/Dhw+Tvr4+vX//nhITE8nc3JwmTZpEM2fOJKLySUyWkiQiSkhIIACcoff333/zDEOxY0eWoUtUPrkYGRnR27dvubD169eTSCSi0tJSKiwsJG1tbc4ZKiYoKIgGDx5MRETfffedRNnXrVvHpUFUrkScnJx4cWbOnElOTk7cdcWJ5sKFC6Snp0eFhYW8fBs1akS///671LJUVrSyKC0tJV1dXTpy5AgXJu0l/MKFC9S5c2dq166dQodmQEAAWVtb0/v377mw/v3708CBA4mIKDs7m1RVVenvv//mPde5c2eaPXs2EZXX6TfffMO7f+HCBVJRUaF3795RWloaAeAZ6ykpKQSAq7cVK1aQvb09FRcXy5VXTOWXJSKiU6dOkaqqKj148IALu3PnjkTeFfn9999JV1dX5otOaGgoaWtr85zO06dPp9atW8uU7dmzZwSAbt26RUT/1y6bNm2SkCslJYWIiAYOHMj9MCXG39+f57jr3Lkzz+lEVD5+LSwsZMpSGWl9qDIVjdT8/HxSV1ennTt3cveLi4vJ0tKSc8ZWNgz+yyhyop85c4YLO3bsGAGgd+/eEVH12q9v3740fvx4IiKaPHkyTZ8+nQwNDSklJYWKi4tJW1ubZ9hXZvz48dSvXz/uetmyZTzdFRkZSSKRiPLz82WmAYDGjBnDC2vdujXnIFRmDrG0tKTFixfz0mjZsiWNGzeOiP5vjFQ04EtKSqhevXqck7RyP1Okd6QhTW9IY//+/WRsbMxdy3Kix8XFkaGhIf30008K0wRAc+bM4a7z8/MJAPfj88KFC6lr1668Zx4+fMi9UCgzp82ePVviB+mZM2fy6s3FxUXuD2+VkfYiNWTIEPLx8eGFTZ8+XSLvinh4eJC/v7/cfOTZKtJYvnw5NW/enLtWpOFi54gAAHh1SURBVK9fv35N6urq3A9TROWOH21tbc65pMycpwyV+5A0ZDnRiWTr1YqOMDE1MTYYfCrOg2VlZXT69GnS1NSkadOmKdVHlBkj1tbW1K1bN16cgQMH8l7SK/aR6tjr0qg8LwQEBJCZmRnPCfOx8qqMPCc6kWydLe2dp3LcRo0a0a5du3hxFi5cSB4eHjLlkTa+FL0rKGMnVaa6eqZHjx40depUIiK6du0aAaD79+9LjSvPiU5Uvril4g99EydOJG9vb5l5K/POtGrVKrK2tuY9VzlMmblMGZvKw8ODsyHEtG7dukp94PfffydjY2OeXly/fj1zon+mML1c9bykjaUlS5YQAN4PZqNHjyZfX1/uWpET/eTJk6SiokJpaWlS8w0PDycAdPfuXS5s3bp1ZGZmJrMOpNk9yuhXZXRTZapjJ1X2X/Xs2ZNGjBghNa4imy4+Pp5UVVXpn3/+ISKiJ0+ekJqaGvdDYmWUnWf09fUlFrRUDlP0vkFUPl+0a9eOF6dly5acr+/kyZOkpqbGG28nTpyo8tiwsLDgyS9+9/tSnehsT/TPDFdXV+5/8VYE4s9RkpKScPfuXejq6vKeKSws5G1JUZH27dvjzZs3uHHjBi5evAgvLy94e3tze7THxsZi+vTpXPxr164hLCwMSUlJePnyJcrKygCUb73h7OwMS0tL9OjRA1u2bEGrVq1w5MgRFBUVoX///nLL5ebmBm1tbe7aw8MD+fn5ePjwIfLz81FQUAAfHx/eM8XFxWjatCkAICUlBR4eHrxP1Nu2bYv8/Hw8evQI9evXBwC0adOGF8fDwwMrVqxAaWmpxN7zSUlJyM/Ph7GxMS/83bt3MutTFk+ePMGcOXMQExODp0+forS0FAUFBTK3ZhEzePBg1KtXD+fOnVNqb8nGjRvzymFhYYFbt24BAG7duoXS0lLY29vznikqKuLKmJSUhJs3b/K2aCEilJWVISsrC+np6VBTU0Pz5s25+46OjrytSvr374/Vq1ejYcOG6NatG7766iv07NkTamrKq5OUlBRYWVnBysqKC3N2doaBgQFSUlLQsmVLiWcSExPRtGlTGBkZyUzXxsaGNz4sLCx4n3NlZGRg3rx5iI+Px/Pnz3n9u+LnshXHoYWFBYDybW4cHR2RlpYmsbVBq1ateJ/FJSUlIS4uDosXL+bCSktLUVhYiIKCAt5YEFPdPiQmMzMTJSUlaNu2LRemrq6OVq1aISUlRak0viRktXH9+vWr1X5eXl7clhaxsbH44YcfkJ6ejpiYGLx48UKibdatW4ctW7bgwYMHePfuHYqLi3mHsgUGBmLOnDm4fPky2rRpg4iICAwYMAA6Ojpyy+Xh4SFxLf5EUdEc8vr1a/zzzz88OYFyXVt5m6uK+aipqaFFixYy+5kivePk5CS3TBU5c+YMlixZgtTUVLx+/Rrv37+X2y5A+fj28fHB4sWLlT6IrmL/0NHRgZ6eHm8ujo6O5m0PJEY8DpWZ01q3bs27X7ntQkJCMHbsWJw6dQpdunRBv379eHIpQ0pKCvz8/Hhhbdu2xerVq6XOi0C5rh01apTcdOXZKkD5mQRr165FZmYm8vPz8f79e+jp6fHSkKev7927h5KSErRq1Yq7r6+vz30mDSg350mjOn3oY1GTY+NL5ujRoxCJRCgpKUFZWRmGDBmCsLAwxMTEKOwjyo4RabpV1kG+1bHXAcXzAgC4uLjw9tv9mHl9Ct6+fYvMzEwEBQXx9M779++rvFe4oneFvLy8KttJyuiZ0tJS/PDDD9i3bx/+/vtvFBcXo6ioiNMnbm5u6Ny5M1xcXODr64uuXbvi66+/hqGhoVLlGjVqFEaOHImVK1dCRUUFu3btwqpVq6pdD+J3JkXcvXtX4VwmRp5NlZKSgjFjxvDie3h4IDo6GoByfSAlJQWurq7Q0tLipcH4fGF6uep5AfyxZGZmxm2LVzHsypUrctOoSGJiIurVqydR3xXR1tZGo0aNuOvK78/KoMx7aHV0kzJ2kiL/1dixY9GvXz9cv34dXbt2Re/evZU++6FVq1Zo3Lgxtm7dilmzZmHHjh2wtrZGhw4dql0PyqLofUPcppXfDSq2n9jnYmlpyd2vPG4U9ddXr14hJyeH994ifvejL3RLF+ZE/8xQV1fnXQsEAk4R5Ofno3nz5hJ7VAPg7ateEQMDA7i5uSEmJgaXLl2Cj48POnTogIEDByI9PR0ZGRnw8vICUG7E+Pr6wtfXFzt37oSpqSkePHgAX19f3v7lwcHBGDZsGFatWoXw8HAMHDjwg148xXuRHjt2DHXr1uXd09TUrHa6yuRrYWEhdf/UyvtbKyIgIAC5ublYs2YNrK2toampCQ8PD169SeOrr77Cjh07cOnSJXTq1ElhPor6h6qqKq5duybhGBEr3/z8fIwePVrqHub169dHenq6QhmsrKyQlpaGM2fO4PTp0xg3bhyWL1+O2NhYCflqEmV+ZJBXPwDQs2dPWFtbY+PGjbC0tERZWRmaNGki0U4V0xFP9BXTUUR+fj7mz5+Pvn37Styr+AJQker2IUb1kNfG1Wk/8V7NGRkZSE5ORrt27ZCamoqYmBi8fPmS2ysUAPbs2YNp06ZhxYoV8PDwgK6uLpYvX87b379OnTro2bMnwsPD0aBBA5w4cULhXs+KqM4cUhMo0jvKcv/+ffzvf//D2LFjsXjxYhgZGeGvv/5CUFAQiouLZc5DpqamsLS0xO7duzFy5EgJZ640FOnanj17YtmyZRLPWVhY4Pbt2wA+fE4LDg6Gr68vjh07hlOnTmHJkiVYsWIFJk6cqHQa1eFDde2lS5fg7++P+fPnw9fXF/r6+tizZ4/EfqaK9LUilJnzKlPdPvSxqKmx8aXTsWNHrF+/HhoaGrC0tOR+1K9OH6kJqqNrlZkXAEj8kPox8/oUiN8BNm7cKPHDorQf+T41yvSh5cuXY82aNVi9ejV33sLkyZM5+01VVRWnT5/GxYsXcerUKfz888/4/vvvER8fz521JI+ePXtCU1MTBw8ehIaGBkpKSvD111/XfGErUZX3sw+xmz/3PsCoHkwvV8/erjyWFNlKKioqEo7MimfQVNem+1yco4rsJGX8V927d0d2djaOHz+O06dPo3Pnzhg/frzEOX+yCA4Oxrp16zBr1iyEh4djxIgRvB8CPhaK3jfE1IQ9XRvvh/9mmBP9X0SzZs2wd+9e1KlTRykngBgvLy9ER0fjypUr3Eujk5MTFi9eDAsLC+5XrNTUVOTm5mLp0qXcCuGrV69KpPfVV19BR0cH69evR1RUFM6fP69QhqSkJLx7945T5JcvX4ZIJIKVlRWMjIygqamJBw8ecA79yjg5OSEyMhJExCmtuLg46Orq8k4wrjypXb58GXZ2dlKNsGbNmuHx48dQU1OTe9hRRcS/MpeWlvLC4+Li8Ouvv+Krr74CUH44Q8VDH2QxduxYNGnSBL169cKxY8dkll8ZmjZtitLSUjx9+lTm4YPNmjVDcnIybG1tpd53dHTE+/fvce3aNW41eFpaGvLy8njxhEIhevbsiZ49e2L8+PFwdHTErVu30KxZM4k0NTQ0JOrLyckJDx8+xMOHD7m+lpycjLy8PDg7O0uVzdXVFZs2bcKLFy/krkaXRW5uLtLS0rBx40aufv76668qp+Pg4CBxSErl62bNmiEtLU1mPUujun1ITKNGjaChoYG4uDhYW1sDKDeiEhISuNW3svovg0912s/FxQWGhoZYtGgR3N3dIRKJ4O3tjWXLluHly5fcIcRAeVt7enpi3LhxXJi0lSnBwcHc1yqNGjWSWCEujcuXL2P48OG8a/GKMWXmEEtLS8TFxfF0UVxcHG9FsDhd8SoMsc6YMGGC1DQV6R1pSNMb165dQ1lZGVasWAEVlfJz0fft26cwLaFQiKNHj+Krr76Cr68vTp06JbHaoio0a9YMkZGRsLGxkfoFjrOzs1JzWuXDSi9fviwRz8rKCmPGjMGYMWMwe/ZsbNy4UaYTXZaujYuL44XFxcXB3t5epnPC1dUVZ8+exYgRI6TeV8TFixdhbW2N77//ngvLzs6uUhoNGzaEuro6EhISOGfyq1evkJ6ezvU7Zea8ylS3D8lDll6V1h6Vqc7YYEiio6MjtQ6V6SPKjpHK4/Py5csyvxSojr2u7LxQm3nJQ1Z/V1dXlzsOzMzMYGlpiXv37sHf3/+D8lP0rmBsbKzQTqqMMn0oLi4Ofn5+GDp0KIBy53F6ejrPnhUIBGjbti3atm2LefPmwdraGgcPHsSUKVMUllVNTQ0BAQEIDw+HhoYGBg0aJNcxpuw7kyKUmcuUwcnJCfHx8RK2iRhl+oCTkxO2b9+OwsJCbjGDtDmT8fnA9HLVfTbVwdTUlHcI6OvXr5GVlcVdu7q64tGjR0hPT5e7Gr0qSLN7lHkPrY5uUmQn3bp1Syn/lampKQICAhAQEID27dtj+vTpSjvRhw4dihkzZmDt2rVITk5GQECAzLjK1IOyKHrfUAaxzyUnJ4dzvFceN8r0VwsLC8THx0u8+0nz/XwJqNS2AAzl8ff3h4mJCfz8/HDhwgVkZWUhJiYGISEhePTokcznvL29cfLkSaipqcHR0ZEL27lzJ88oql+/PjQ0NPDzzz/j3r17OHz4MBYuXCiRnqqqKgIDAzF79mzY2dkp9TldcXExgoKCkJycjOPHjyM0NBQTJkyAiooKdHV1MW3aNHz77bfYunUrMjMzcf36dfz888/YunUrAGDcuHF4+PAhJk6ciNTUVPz5558IDQ3FlClTuBdhoPyznSlTpiAtLQ27d+/Gzz//jEmTJkmVqUuXLvDw8EDv3r1x6tQp3L9/HxcvXsT3338vVfkC5atDhUIhoqKi8OTJE7x69QoAYGdnh+3btyMlJQXx8fHw9/dX6pdfAJg4cSIWLVqE//3vf9Vy6oqxt7eHv78/hg8fjgMHDiArKwtXrlzBkiVLcOzYMQDAzJkzcfHiRUyYMAGJiYnIyMjAn3/+yTm/HBwc0K1bN4wePRrx8fG4du0agoODeWWJiIjA5s2bcfv2bdy7dw87duyAUCjkJorK2NjYICsrC4mJiXj+/DmKiorQpUsXuLi4wN/fH9evX8eVK1cwfPhweHl5oUWLFlLTGTx4MMzNzdG7d2/ExcXh3r17iIyMxKVLl5SqH0NDQxgbG2PDhg24e/cuzp07p9TLS2UmTpyI48ePY+XKlcjIyMDvv/+OEydO8H6RnjdvHrZt24b58+fjzp07SElJwZ49ezBnzhyZ6X5IHwLKjdWxY8di+vTpiIqKQnJyMkaNGoWCggIEBQUBAKytrSEQCHD06FE8e/aMW/3D4FOd9hMIBOjQoQN27tzJOcxdXV1RVFSEs2fP8nStnZ0drl69ipMnTyI9PR1z586V+CEGAHx9faGnp4dFixYp7dDcv38/tmzZgvT0dISGhuLKlSvc+FZmDpk+fTqWLVuGvXv3Ii0tDbNmzUJiYqKEHl23bh0OHjyI1NRUjB8/Hi9fvsTIkSOlyqRI70hDmt6wtbVFSUkJN0dt374dv/32m1L1oqOjg2PHjkFNTQ3du3f/oL4/fvx4vHjxAoMHD0ZCQgIyMzNx8uRJjBgxAqWlpUrNaWPGjEFGRgamT5+OtLQ07Nq1CxEREbx8Jk+ejJMnTyIrKwvXr19HdHS03O09bGxscP78efz999/cD3BTp07F2bNnsXDhQqSnp2Pr1q345ZdfMG3aNJnphIaGYvfu3QgNDUVKSgpu3boldRWMLOzs7PDgwQPs2bMHmZmZWLt2LQ4ePKj08wCgq6uLgIAATJ8+HdHR0bhz5w6CgoKgoqLC6Vpl5rzKfEgfkoUsvWpjY4P4+Hjcv3+ft31YRaozNhjKo0wfUXaMxMXF4ccff0R6ejrWrVuH/fv3y7Qvq2OvKzsv1GZe8pCms8XhZ8+exePHj/Hy5Uupz86fPx9LlizB2rVrkZ6ejlu3biE8PBwrV66Um1/l8aXoXUEZO6kyyvQhOzs7bqV5SkoKRo8ejSdPnnBpxMfH44cffsDVq1fx4MEDHDhwAM+ePavSdk3BwcE4d+4coqKiZM61YpR9Z1KEMnOZMkyaNAlbtmxBeHg4Z5vcuXOHF0dRHxgyZAgEAgFGjRrFvUsq6wBjfF4wvSzbZ1MdOnXqhO3bt+PChQu4desWAgICeD80eHl5oUOHDujXrx9Onz6NrKwsnDhxAlFRUdXOU5rdo4x+rY5uUmQnKeO/mjdvHv7880/cvXsXd+7cwdGjR6ukfw0NDdG3b19Mnz4dXbt2lftjZHXmGVkoet9Qhi5dusDe3h4BAQFISkrChQsXeItcAOX666RJk7B06VIcOnQIqampGDdunMQiyy+KWtqL/YsGcg4WlXcwBBFRTk4ODR8+nExMTEhTU5MaNmxIo0aNolevXsnMLzc3lwQCAXcAJRHRwYMHCQD99ttvvLi7du0iGxsb0tTUJA8PDzp8+LDUQ1syMzMJgMyDeCoiPlxk3rx5ZGxsTCKRiEaNGsU70LOsrIxWr15NDg4OpK6uTqampuTr60uxsbFcnJiYGGrZsiVpaGiQubk5zZw5k0pKSrj7Xl5eNG7cOBozZgzp6emRoaEhfffdd7xDEirX8evXr2nixIlkaWlJ6urqZGVlRf7+/rwDLyuzceNGsrKyIhUVFfLy8iIiouvXr1OLFi1IS0uL7OzsaP/+/RJ5Qc7BZETlB3bq6upSXFyc3HqsyKRJkzgZiP7vFHEbGxtSV1cnCwsL6tOnD928eZOLc+XKFfLx8SGRSEQ6Ojrk6urKO0gwJyeHevToQZqamlS/fn3atm0brywHDx6k1q1bk56eHuno6FCbNm14h6BUprCwkPr160cGBgYEgDswIzs7m3r16kU6Ojqkq6tL/fv3p8ePH8tMh4jo/v371K9fP9LT0yNtbW1q0aIFd8ittEOtKh+SdPr0aXJyciJNTU1ydXWlmJgYhe3y8uVLAkDR0dFc2IYNG6hu3bokFAqpd+/etGjRIjI3N+flHRUVRZ6eniQUCklPT49atWpFGzZskFk2ZfpQZSr3iXfv3tHEiRM5/dC2bVuJg1oXLFhA5ubmJBAIKCAgQGba/3YUHSxa8TCcGzduEADKysriwqrafkTl/Q0VDqAkIvLz8yM1NTXucBui8jERGBhI+vr6ZGBgQGPHjqVZs2ZJPZRt7ty5vANt5AGA1q1bRz4+PqSpqUk2Nja0d+9eXhxFc0hpaSmFhYVR3bp1SV1dndzc3HjlEY+RXbt2UatWrUhDQ4OcnZ3p3LlzXBxpdaxI71RGlt5YuXIlWVhYkFAoJF9fX9q2bVuVDrt78+YNeXp6UocOHWQe0iptjq582E96ejr16dOHDAwMSCgUkqOjI02ePJmbb5SZ044cOUK2trakqalJ7du3py1btvDKMmHCBGrUqBFpamqSqakpDRs2jJ4/fy6zzi5dukSurq6kqalJFc27P/74g5ydnUldXZ3q169Py5cvl5mGmMjISHJ3dycNDQ0yMTGhvn37cveUsVWmT5/OzfcDBw6kVatWKTyEsLK+fv36NQ0ZMoS0tbXJ3NycVq5cSa1ataJZs2ZxcZSZ8yqjqA9JQ9E8IU2vpqWlUZs2bUgoFHL6pSbGBoOPNNuoIsr0EUVjxNramubPn0/9+/fn+uOaNWt4cSrrjara68rMC7LK+jHyqoyig0Vl6ezDhw+Tra0tqampceNb2vjfuXMnp3MMDQ2pQ4cOdODAAZnySBtfRIrfFZSxkyqjqA/l5uaSn58fiUQiqlOnDs2ZM4eGDx/OtVVycjL5+vqSqakpaWpqkr29Pf38889c+ooOFhXTvn17aty4sVxZxSiqB2UOFiVSPJcpa1MtXryYTExMSCQSUUBAAM2YMaPKfeDSpUvk5uZGGhoa5O7uTpGRkexg0c8Uppernpe0sSTtXaay/nz16hUNHDiQ9PT0yMrKiiIiIiRsstzcXBoxYgQZGxuTlpYWNWnShI4ePSozD7GfSB7S7B5l9Ksi3SQNRXaSIv/VwoULycnJiYRCIRkZGZGfnx/du3ePiJQ/LP7s2bMEgPbt2ydXVmXrQZmDRYkUv29Imy/8/Px47/hpaWnUrl070tDQIHt7e4qKiqry2CgpKaFJkyaRnp4eGRgY0JQpU3jz3JeGgOgz2fCI8a/iwoUL6Ny5Mx4+fAgzMzO5cQMDA5GXl4dDhw59VJm8vb3h7u4u80ARBuNjMWrUKKSmpuLChQu1LQrjP0ZQUBCePXsmsfWHNAQCAQ4ePIjevXt/NHnu37+PBg0a4MaNG7VyCB3jy+Xt27eoW7cuVqxYUeXVPAzGh2BjY4PJkydX+VNsBqOmICLY2dlh3Lhx1fqKksH4r8H0MuNTsn37dnz77bf4559/eIfIMr5M2J7ojCpRVFSEZ8+eISwsDP3791foQGcw/ov89NNP8PHxgY6ODk6cOIGtW7fi119/rW2xGP8hXr16hVu3bmHXrl1KOdAZjP8aN27cQGpqKlq1aoVXr15hwYIFAAA/P79alozBYDA+Hc+ePcOePXvw+PHjap9VwWAwGIyqU1BQgJycHCxduhSjR49mDnQGAOZEZ1SR3bt3IygoCO7u7ti2bVtti8Ng1ApXrlzBjz/+iDdv3qBhw4ZYu3YtgoODa1ssxn8IPz8/XLlyBWPGjIGPj09ti8Ng1Ao//fQT0tLSoKGhgebNm+PChQswMTGpbbEYDAbjk1GnTh2YmJhgw4YNMDQ0rG1xGAwG44vhxx9/xOLFi9GhQwfMnj27tsVhfCaw7VwYDAaDwWAwGAwGg8FgMBgMBoPBkIHyR3QzGAwGg8FgMBgMBoPBYDAYDAaD8YXBnOgMBoPBYDAYDAaDwWAwGAwGg8FgyIA50RkMBoPBYDAYDAaDwWAwGAwGg8GQAXOiMxgMBoPBYDAYDAaDwWAwGAwGgyED5kRnMBiMfzmBgYHo3bu33Dg2NjZYvXq10mnGxMRAIBAgLy/vg2SrqXQ+hLCwMLi7u9da/l8CtVnHlfu/t7c3Jk+eXCuyVJV/Q9+8f/8+BAIBEhMTa1uUT4IyurIm262quvlD+DeNjeogEAhw6NCh2hbjiyIiIgIGBgYK47G2qR41oR9SU1PRpk0baGlpfbbzTWVbUVq/2rBhA6ysrKCiosLVibSwzx1lx8yH8DnY3h+D//ocxmAw/h0wJzqDwfiiefbsGcaOHYv69etDU1MT5ubm8PX1RVxcXG2LJsGHOLMSEhLwzTff1LxQFfiYxq2yL5LsRf3fC3s5qhpfmnP7U1FZV9aUTvkUjhMxshwoBw4cwMKFCz+JDMryKeuFUfMMHDgQ6enp3LWsH5hycnLQvXv3jyoLm/+lExoaCh0dHaSlpeHs2bO1LY5SVO5Xr1+/xoQJEzBz5kz8/fff+Oabb6SG1Sb/Vcc1g8FgMPio1bYADAaDUZv069cPxcXF2Lp1Kxo2bIgnT57g7NmzyM3NrW3RahRTU9PaFoHBYDA+e/7LutLIyKi2RWDIgIhQWloKNbV/16uZUCiEUChUGM/c3PwTSMOQRmZmJnr06AFra2uZcUpKSqCurv4JpZJP5X714MEDlJSUoEePHrCwsAAA3L59WyKsOnxuZf9c+bfqKAaDwahp2Ep0BoPxxZKXl4cLFy5g2bJl6NixI6ytrdGqVSvMnj0bvXr14uI9ePAAfn5+EIlE0NPTw4ABA/DkyRPuvnjl1ZYtW1C/fn2IRCKMGzcOpaWl+PHHH2Fubo46depg8eLFEvkHBwfD1NQUenp66NSpE5KSkmTK26BBAwBA06ZNIRAI4O3tzbv/008/wcLCAsbGxhg/fjxKSkq4e5VXcgsEAmzatAl9+vSBtrY27OzscPjwYZl5FxQUoHv37mjbtq3UVTaBgYGIjY3FmjVrIBAIIBAIcP/+fe7+tWvX0KJFC2hra8PT0xNpaWncvczMTPj5+cHMzAwikQgtW7bEmTNnuPve3t7Izs7Gt99+y6UtDRsbGwBAnz59IBAIuGsx27dvh42NDfT19TFo0CC8efOGu1dWVoYlS5agQYMGEAqFcHNzwx9//CGzPn755Rc0adKEuz506BAEAgF+++03LqxLly6YM2eOUmVcsGABLz0x7u7umDt3rlQZxKuejh07BldXV2hpaaFNmza4ffs2L95ff/2F9u3bQygUwsrKCiEhIXj79i13/+XLlxg+fDgMDQ2hra2N7t27IyMjg7svXil66NAh2NnZQUtLC76+vnj48KHM+gGATZs2wcnJCVpaWnB0dMSvv/4qM66s/lNaWoqgoCCuXRwcHLBmzRq5+Vbm2LFj0NfXx86dO6XeF9fj2bNnZfZRAPjzzz/RrFkzaGlpoWHDhpg/fz7ev3/P3VdmPC9duhRmZmbQ1dVFUFAQCgsLJWRp1aoVdHR0YGBggLZt2yI7O1uq3LL0QVlZGRYsWIB69epBU1MT7u7uiIqKkltHZWVl+PHHH2FrawtNTU3Ur19fQl/du3cPHTt2hLa2Ntzc3HDp0iXuXm5uLgYPHoy6detCW1sbLi4u2L17N+95b29vhISEYMaMGTAyMoK5uTnCwsJ4cVJTU9GuXTtoaWnB2dkZZ86ckVhd+vDhQwwYMAAGBgYwMjKCn58fT9dUpkWLFvjpp5+46969e0NdXR35+fkAgEePHkEgEODu3bsA+LryQ3RKRWJiYjBixAi8evWK698Vy15QUICRI0dCV1cX9evXx4YNG3jPV6XM9+/fR8eOHQEAhoaGEAgECAwMBCD5tYeNjQ0WLVqE4cOHQyQSwdraGocPH8azZ8+4Oc/V1RVXr17l5aFIp/z666+crjAzM8PXX39d5XpRpJdkIV7xLBQK0bBhQwk9XtX+I9YPJ0+eRNOmTSEUCtGpUyc8ffoUJ06cgJOTE/T09DBkyBAUFBRwzxUVFSEkJAR16tSBlpYW2rVrh4SEBIl0T5w4gebNm0NTUxN//fVXleciQH59K0pPGf2XlJSEjh07QldXF3p6emjevDnXJyp+SRAREYH58+cjKSmJa8+IiAgA/FXinp6emDlzJq8Mz549g7q6Os6fP8/V37Rp01C3bl3o6OigdevWiImJkVkH8sbq+vXr0ahRI2hoaMDBwQHbt2+XW5/iLcLmz5/P6fMxY8aguLhY6XoFgNjYWLRq1QqampqwsLDArFmzeHOGt7c3JkyYgAkTJkBfXx8mJiaYO3cuiEimbFW1GwUCAa5du4YFCxZw40v8FdPevXvh5eUFLS0t7Ny5U+HcIX5u37593Phv2bIl0tPTkZCQgBYtWkAkEqF79+549uyZ3Do+fvw47O3tIRQK0bFjR4kxWLlfubi4AAAaNmzI9avKYeI0FM3VAoEA69evR69evaCjo8PNdco8J8tulqd3ZSHPplJkMwLlY2TmzJmwsrKCpqYmbG1tsXnzZql5SbPhL168CHd3d2hpaaFFixacHSv+uk2WjlKk26R9XSROW4z4vUneHPr27VtubrKwsMCKFSskyqXsXMNgMBg1CjEYDMYXSklJCYlEIpo8eTIVFhZKjVNaWkru7u7Url07unr1Kl2+fJmaN29OXl5eXJzQ0FASiUT09ddf0507d+jw4cOkoaFBvr6+NHHiREpNTaUtW7YQALp8+TL3XJcuXahnz56UkJBA6enpNHXqVDI2Nqbc3Fypsly5coUA0JkzZygnJ4eLFxAQQHp6ejRmzBhKSUmhI0eOkLa2Nm3YsIF71tramlatWsVdA6B69erRrl27KCMjg0JCQkgkEnFpRkdHEwB6+fIlvXz5kjw9Palr16709u1bqbLl5eWRh4cHjRo1inJycignJ4fev3/PpdO6dWuKiYmhO3fuUPv27cnT05N7NjExkX777Te6desWpaen05w5c0hLS4uys7OJiCg3N5fq1atHCxYs4NKWxtOnTwkAhYeHU05ODj19+pTXPn379qVbt27R+fPnydzcnL777jvu2UWLFpGjoyNFRUVRZmYmhYeHk6amJsXExEjN6+bNmyQQCLg8Jk+eTCYmJjRw4EAiIiouLiZtbW06ffq0UmV8+PAhqaio0JUrV7g8rl+/TgKBgDIzM6XKIK5bJycnOnXqFN28eZP+97//kY2NDRUXFxMR0d27d0lHR4dWrVpF6enpFBcXR02bNqXAwEAunV69epGTkxOdP3+eEhMTydfXl2xtbbk0wsPDSV1dnVq0aEEXL16kq1evUqtWrXhtGBoaSm5ubtz1jh07yMLCgiIjI+nevXsUGRlJRkZGFBERIbUssvpPcXExzZs3jxISEujevXu0Y8cO0tbWpr1793LPBgQEkJ+fH3ft5eVFkyZNIiKinTt3kq6uLh05ckRqvhXrUV4fPX/+POnp6VFERARlZmbSqVOnyMbGhsLCwrg4isbz3r17SVNTkzZt2kSpqan0/fffk66uLldvJSUlpK+vT9OmTaO7d+9ScnIyRUREcH2kMrL0wcqVK0lPT492795NqampNGPGDFJXV6f09HSZdTBjxgwyNDSkiIgIunv3Ll24cIE2btxIRERZWVkEgBwdHeno0aOUlpZGX3/9NVlbW1NJSQkRET169IiWL19ON27coMzMTFq7di2pqqpSfHw8r1309PQoLCyM0tPTaevWrSQQCOjUqVNERPT+/XtycHAgHx8fSkxMpAsXLlCrVq0IAB08eJCIyseVk5MTjRw5km7evEnJyck0ZMgQcnBwoKKiIqllmzJlCvXo0YOIiMrKysjIyIhMTEzoxIkTRFTeV+vWrcvFr6grP0SnVKSoqIhWr15Nenp6XP9+8+YNl5+RkRGtW7eOMjIyaMmSJaSiokKpqanVKvP79+8pMjKSAFBaWhrl5ORQXl4e1wbisVEx799++43S09Np7NixpKenR926daN9+/ZRWloa9e7dm5ycnKisrIyIFOuUhIQEUlVVpV27dtH9+/fp+vXrtGbNmirXiyK9JA0AZGxsTBs3bqS0tDSaM2cOqaqqUnJycrXqkuj/9EObNm3or7/+ouvXr5OtrS15eXlR165d6fr163T+/HkyNjampUuXcs+FhISQpaUlHT9+nO7cuUMBAQFkaGgoMce6urrSqVOn6O7du5Sbm1vluUhRfStKTxn917hxYxo6dCilpKRQeno67du3jxITE4mofH7Q19cnIqKCggKaOnUqNW7cmGvPgoICrm3E4/iXX36h+vXrc32KiOjnn3/mhQUHB5OnpyedP3+e7t69S8uXLydNTU2ZekzWWD1w4ACpq6vTunXrKC0tjVasWEGqqqp07tw5qekQlc8pIpGIBg4cSLdv36ajR4+SqalplWyGR48ekba2No0bN45SUlLo4MGDZGJiQqGhoVwaXl5eJBKJaNKkSZSamsrNb/Jst6rajTk5OdS4cWOaOnUqN77EOt3Gxoabo//55x+Fc0fFuSAqKoqSk5OpTZs21Lx5c/L29uaNjzFjxsis3wcPHpCmpiZNmTKFK7eZmRlncxJJ9qszZ84QALpy5Qrl5ORQfn6+RNj79++VmqsBUJ06dWjLli2UmZlJ2dnZSj8ny26Wp3cro4xNpchmJCIaMGAAWVlZ0YEDBygzM5POnDlDe/bsISLFNvyrV6/IyMiIhg4dSnfu3KHjx4+Tvb09AaAbN27w0qisoxTptoptJ+bgwYNU0e2kzBw6duxYql+/Pp05c4azb3V1dbk5rCpzDYPBYNQkzInOYDC+aP744w8yNDQkLS0t8vT0pNmzZ1NSUhJ3/9SpU6SqqkoPHjzgwu7cucMZ7kTlxqC2tja9fv2ai+Pr60s2NjZUWlrKhTk4ONCSJUuIiOjChQukp6cn4bxv1KgR/f7771JlFb/AiA1cMQEBAWRtbU3v37/nwvr37885dImkO9HnzJnDXefn5xMAzrEkNp5TUlLI1dWV+vXrJ9PJIKayg6ZiOmfOnOHCjh07RgDo3bt3MtNq3Lgx/fzzzzLll0XFF3Ux0tpn+vTp1Lp1ayIiKiwsJG1tbbp48SLvuaCgIBo8eLDUfMrKysjY2Jj2799PRETu7u60ZMkSMjc3JyKiv/76i9TV1WX+6CCtjN27d6exY8dy1xMnTiRvb2+Zz4vrVvzSRFT+g4NQKOSczEFBQfTNN9/wnrtw4QKpqKjQu3fvKD09nQBQXFwcd//58+ckFApp3759RFT+QlT5B6CUlBQCwDlJKzvRGzVqRLt27eLlu3DhQvLw8JBZHmn9Rxrjx4+nfv36cdeynOi//PIL6evry3Q+iVGmj3bu3Jl++OEH3nPbt28nCwsLIlJuPHt4eNC4ceN491u3bs3VW25uLgFQKK8YWfrA0tKSFi9ezAtr2bKlRN5iXr9+TZqampzTXFY+mzZt4sLEOjAlJUWmfD169KCpU6dy115eXtSuXTsJuWbOnElERCdOnCA1NTXej2SnT5/mjent27eTg4MDz/lWVFREQqGQTp48KVWOw4cPk76+Pr1//54SExPJ3NycJk2axOUbHBxMQ4YM4eJL05VV1SnSkOZYEOc3dOhQ7rqsrIzq1KlD69evr3aZKzpQKiLNiV4x75ycHAJAc+fO5cIuXbpEALh2UaRTIiMjSU9Pj1c38pBWL8roJWkAkHDetW7dmtOrH1KXFfXDkiVLCADvB87Ro0eTr68vEZXPp+rq6rRz507ufnFxMVlaWtKPP/7IS/fQoUNcnOrMRfLqW5n0lNF/urq6Mn8Ardx+lecCMRXH0dOnT0lNTY3Onz/P3ffw8ODGZHZ2NqmqqtLff//NS6Nz5840e/ZsqXJUzkOMp6cnjRo1ihfWv39/+uqrr2SmExAQQEZGRrz5e/369SQSiai0tFSpev3uu+8k+tq6deu4NIjKx2PFH6iIiGbOnElOTk7cdUV9VB27kYjIzc2N57wX6/TVq1fz4imaO6TNBbt37yYAdPbsWS5syZIl5ODgIFOe2bNnk7OzMy9s5syZMp3oREQ3btwgAJSVlSU3TNFcTVTeTyZPnsyLo+xzytjNlfVuZZSxqaRR0WZMS0sjANxCjcoosuHXr19PxsbGPDt848aNUp3oFXWUMrpNWSe6vDn0zZs3pKGhwdP3YvtWPIdVda5hMBiMmoJt58JgML5o+vXrh3/++QeHDx9Gt27dEBMTg2bNmnGfIKekpMDKygpWVlbcM87OzjAwMEBKSgoXZmNjA11dXe7azMwMzs7OUFFR4YU9ffoUQPnn0fn5+TA2NoZIJOL+srKykJmZWeVyNG7cGKqqqty1hYUFl5csXF1duf91dHSgp6cn8YyPjw9sbW2xd+9eaGhoVFkuaXmJ964U55Wfn49p06bByckJBgYGEIlESElJwYMHD6qdX2Uqt0/F+rl79y4KCgrg4+PDa4tt27bJbAuBQIAOHTogJiYGeXl5SE5Oxrhx41BUVITU1FTExsaiZcuW0NbWVrqMo0aNwu7du1FYWIji4mLs2rULI0eOVFg2Dw8P7n8jIyM4ODhwfTMpKQkRERG8cvn6+qKsrAxZWVlISUmBmpoaWrduzaVhbGzMSwMA1NTU0LJlS+7a0dFRYgyIefv2LTIzMxEUFMTLd9GiRdXq2+vWrUPz5s1hamoKkUiEDRs2KOwbf/zxB7799lucPn0aXl5eSuUjr48mJSVhwYIFvPKMGjUKOTk5KCgoUGo8p6Sk8OoZkGy7wMBA+Pr6omfPnlizZg1ycnKUkl3M69ev8c8//6Bt27a88LZt20ptK7FcRUVF6Ny5s9y05dVPaWkpFi5cCBcXFxgZGUEkEuHkyZMS7VQxDXE64jTS0tJgZWXF2zu5VatWvPhJSUm4e/cudHV1uTo2MjJCYWGhzL7Vvn17vHnzBjdu3EBsbCy8vLzg7e3NbQ0RGxsrsTWWMsjTKVWlYr0IBAKYm5vz+l5Vy1zdvM3MzACA2yahYlhFeeTpFB8fH1hbW6Nhw4YYNmwYdu7cydvmRBmU1UvSqDimxNcV9WF167JyPWlra6Nhw4a8MHEdZWZmoqSkhDcO1dXV0apVKwn5W7Rowf1fnblIXn1XJT1543vKlCkIDg5Gly5dsHTp0g/ud6ampujatSu3xVZWVhYuXboEf39/AMCtW7dQWloKe3t7ntyxsbFVzjslJaVK+lCMm5sbN38D5f0oPz8fDx8+VKpeU1JS4OHhwdvCom3btsjPz8ejR4+4sDZt2vDieHh4ICMjA6WlpRIy1bTdWLHvVWXuUEZnyNOFiubCD0HRXC2mYtmr8pwydrMyKLKpFNmMiYmJUFVVVWjfyLLh09LSuG0AxVSeb8VUrKuq6DZFyJtDMzMzUVxczOsnYvu2Ytk+dK5hMBiM6sBOhmAwGF88Wlpa8PHxgY+PD+bOnYvg4GCEhoYq3M+wIpUPJRIIBFLDysrKAJQbyBYWFlL3+Ky8l2B18xfn9SHP9OjRA5GRkUhOTua9JH2IfOIXRnFe06ZNw+nTp/HTTz/B1tYWQqEQX3/9NW//0Q9FUVsA5Xtn161blxdPU1NTZpre3t7YsGEDLly4gKZNm0JPT49zrIuddWKUKWPPnj2hqamJgwcPQkNDAyUlJR+8v2N+fj5Gjx6NkJAQiXv169dXao/h6uQJABs3bpR4Ua74Q48y7NmzB9OmTcOKFSvg4eEBXV1dLF++HPHx8XKfa9q0Ka5fv44tW7agRYsWMvfRr4i8Ppqfn4/58+ejb9++Es9paWnV2HgODw9HSEgIoqKisHfvXsyZMwenT59GmzZtlE6jqihzKCAgv36WL1+ONWvWYPXq1XBxcYGOjg4mT54sMYaro6cqkp+fj+bNm0vd317WgaAGBgZwc3NDTEwMLl26BB8fH3To0AEDBw5Eeno6MjIylP6hpSIfWhZl06pOmaubt7hdFY0FeTpFQ0MD169fR0xMDE6dOoV58+YhLCwMCQkJ1ZrbapIPqcvKdVJT7a+jo8OTD6jaXKSrqyuzvquSnrw2DwsLw5AhQ3Ds2DGcOHECoaGh2LNnD/r06VPl8orx9/dHSEgIfv75Z+zatQsuLi6cjZGfnw9VVVVcu3ZNYs4QiUTVzrOmqK7NUBP51qTdWLHvVQVldEZ1deGHomiuFlO57Mo+V5N6Xx6KbEZl5+2asOGr2k9UVFQk9vWveEaTmA+tS3m6r7bnGgaD8d+GOdEZDAajEs7OztwBWE5OTnj48CEePnzIrUZPTk5GXl4enJ2dq51Hs2bN8PjxY6ipqUkcVicL8SoSaSuUPhZLly6FSCRC586dERMTI7fMGhoa1ZItLi4OgYGB3At5fn6+xCFTyqatrq5eZRmcnZ2hqamJBw8eVMmZ5uXlhcmTJ2P//v3cSlZvb2+cOXMGcXFxmDp1KhdXmTKqqakhICAA4eHh0NDQwKBBg5R6Ubp8+TLq168PoPwwvvT0dDg5OQEo72fJycmwtbWV+qyTkxPev3+P+Ph4eHp6Aig/JDItLY3X1u/fv8fVq1e5lUppaWnIy8vj8qmImZkZLC0tce/ePW5loTJIa+O4uDh4enpi3LhxXJgyK+4aNWqEFStWwNvbG6qqqvjll1+UlkMazZo1Q1pamsx6VGY8Ozk5IT4+HsOHD+fCLl++LBGvadOmaNq0KWbPng0PDw/s2rVLqhNdmj7Q09ODpaUl4uLieH05Li5O5iozOzs7CIVCnD17FsHBwVLjKCIuLg5+fn4YOnQogHLnW3p6epV0pIODAx4+fIgnT55wqxsrHlYGlNfz3r17UadOHejp6SmdtpeXF6Kjo3HlyhUsXrwYRkZGcHJywuLFi2FhYQF7e3uZz1ZHp0ijuvqxOmX+mHOFIp0ClOuyLl26oEuXLggNDYWBgQHOnTsn1UElrV6U1UvSuHz5ssQYa9q0KSd7dfpPVREfYhkXFwdra2sA5U6khIQE3sGulanuXCSrvn18fKqVnjTs7e1hb2+Pb7/9FoMHD0Z4eLhUJ7qy/dzPzw/ffPMNoqKisGvXLl6bNW3aFKWlpXj69Cnat2+vtIzSxqqTkxPi4uIQEBDAhcXFxSnsR0lJSXj37h03B1++fBkikQhWVlYwMjJSWK9OTk6IjIwEEXGO5ri4OOjq6qJevXpcvMo/CF++fBl2dnZSf3Cujt2oLNWZO6qLk5OTxEH20ubC6qBorq7p5ypSFb2ryKZSZDO6uLigrKwMsbGx6NKli8x8ZNnwDg4O2LFjB4qKirgffirPt9JQRreZmprizZs3ePv2LeeAFx9WqiyNGjWCuro64uPjJezbiv2zKnMNg8Fg1BRsOxcGg/HFkpubi06dOmHHjh24efMmsrKysH//fvz444/w8/MDAHTp0gUuLi7w9/fH9evXceXKFQwfPhxeXl4Sn4NWhS5dusDDwwO9e/fGqVOncP/+fVy8eBHff/89rl69KvWZOnXqQCgUIioqCk+ePMGrV6+qnX9V+Omnn+Dv749OnTohNTVVZjwbGxvEx8fj/v37eP78udIrSuzs7HDgwAEkJiYiKSkJQ4YMkXjWxsYG58+fx99//43nz5/LleHs2bN4/PgxXr58qVT+urq6mDZtGr799lts3boVmZmZuH79On7++Wds3bpV5nOurq4wNDTErl27eE70Q4cOoaioiPe5qzJlBIDg4GCcO3cOUVFRSm3lAgALFizA2bNncfv2bQQGBsLExAS9e/cGAMycORMXL17EhAkTkJiYiIyMDPz555+YMGECJ5efnx9GjRqFv/76C0lJSRg6dCjq1q3LjQGg3DkxceJExMfH49q1awgMDESbNm1kvlzPnz8fS5Yswdq1a5Geno5bt24hPDwcK1eulFkOaf3Hzs4OV69excmTJ5Geno65c+cq9aIHlDt9oqOjERkZKddxpQzz5s3Dtm3bMH/+fNy5cwcpKSnYs2cP5syZA0C58Txp0iRs2bIF4eHhSE9PR2hoKO7cucPlkZWVhdmzZ+PSpUvIzs7GqVOnkJGRIfWHCkC2Ppg+fTqWLVuGvXv3Ii0tDbNmzUJiYiImTZokNR0tLS3MnDkTM2bM4LYjuHz5MjZv3qx0/djZ2eH06dO4ePEiUlJSMHr0aDx58kTp54HyT7MbNWqEgIAA3Lx5E3FxcVz9ip1Q/v7+MDExgZ+fHy5cuICsrCzExMQgJCSEt0VCZby9vXHy5EmoqanB0dGRC9u5c6dC52J1dIqsdPLz83H27Fk8f/5c6c/Oq1Nma2trCAQCHD16FM+ePeNWztYEinTK0aNHsXbtWiQmJiI7Oxvbtm1DWVkZ7zP8ikirF2X1kjT279+PLVu2cGPsypUrnGzV7T9VRUdHB2PHjsX06dMRFRWF5ORkjBo1CgUFBQgKCpL5XHXmInn1Xd25rSLv3r3DhAkTEBMTg+zsbMTFxSEhIUGmXrKxsUFWVhYSExPx/PlzFBUVyayj3r17Y+7cuUhJScHgwYO5e/b29vD398fw4cNx4MABZGVl4cqVK1iyZAmOHTsmU1ZpY3X69OmIiIjA+vXrkZGRgZUrV+LAgQOYNm2a3HIXFxcjKCgIycnJOH78OEJDQzFhwgSoqKgoVa/jxo3Dw4cPMXHiRKSmpuLPP/9EaGgopkyZwtvm78GDB5gyZQrS0tKwe/du/PzzzzJ1dXXsxqpQ1bmjuowZMwYZGRmYPn060tLSsGvXLm4LxQ9F0Vxd089VpCp6V5FNpchmtLGxQUBAAEaOHIlDhw5xumzfvn0SeUmz4cXpffPNN0hJScHJkyfx008/AYDcL/eU0W2tW7eGtrY2vvvuO2RmZlarfUUiEYKCgjB9+nScO3eOs28rjh1Fc80vv/yicJs6BoPBqBa1vSk7g8Fg1BaFhYU0a9YsatasGenr65O2tjY5ODjQnDlzqKCggIuXnZ1NvXr1Ih0dHdLV1aX+/fvT48ePufvSDtKqfNghkeShbq9fv6aJEyeSpaUlqaurk5WVFfn7+/MOMa3Mxo0bycrKilRUVMjLy0tmXpMmTeLuEyl3WJ6+vj6Fh4cTkfQDkiZOnEgWFhaUlpYmVba0tDRq06YNCYVC7rAnaelUPgwqKyuLOnbsSEKhkKysrOiXX36RqKtLly6Rq6sraWpqkryp6/Dhw2Rra0tqampkbW1NRNLbZ9WqVdx9ovLD/FavXk0ODg6krq5Opqam5OvrS7GxsTLzIiLy8/MjNTU1evPmDRERlZaWkqGhIbVp04YXT5kyimnfvj01btxYbr5E/9dGR44cocaNG5OGhga1atWKdzAuEdGVK1fIx8eHRCIR6ejokKurK+/wsBcvXtCwYcNIX1+fhEIh+fr6Unp6OndffEhUZGQkNWzYkDQ1NalLly6UnZ3NxZFWxzt37iR3d3fS0NAgQ0ND6tChAx04cEBmeaT1n8LCQgoMDCR9fX0yMDCgsWPH0qxZs3h5yTpYVExycjLVqVOHpkyZIrce5fVRIqKoqCjy9PQkoVBIenp61KpVK9qwYQN3X5nxvHjxYjIxMSGRSEQBAQE0Y8YMriyPHz+m3r17k4WFBWloaJC1tTXNmzePdzhxZaTpg9LSUgoLC6O6deuSuro6ubm5cQefyaK0tJQWLVpE1tbWpK6uTvXr1+cOWZN2gOnLly8JAEVHRxNR+YFffn5+JBKJqE6dOjRnzhwaPny43HYhKh8/AQEB3HVKSgq1bduWNDQ0yNHRkY4cOUIAKCoqiouTk5NDw4cPJxMTE9LU1KSGDRvSqFGj6NWrVzLLl5ubSwKBgHfYsvigs99++40Xt7KurK5OkcaYMWPI2NiYAHAH/Uk7NLnyQYDVKfOCBQvI3NycBAIBV8fSDhatnHfluUFa+8vTKRcuXCAvLy8yNDQkoVBIrq6u3EHHVakXRXpJGgBo3bp15OPjQ5qammRjYyORd1XrUpp+kHZwXuU+8e7dO5o4cSKXT9u2bbnDyGWlS1T1uUhRfStKT5H+KyoqokGDBpGVlRVpaGiQpaUlTZgwgTuQsHJdFBYWUr9+/cjAwIAAcDaFNJvj+PHjBIA6dOggUa7i4mKaN28e2djYkLq6OllYWFCfPn3o5s2bUuuBSPpYJSL69ddfqWHDhqSurk729va0bds2mWkQ/d+cMm/ePDI2NiaRSESjRo3iHeipTDvFxMRQy5YtSUNDg8zNzWnmzJlUUlLC3ffy8qJx48bRmDFjSE9PjwwNDem7777jHTRaeYxWx26UdbBo5UOpFc0d0p5TdnxU5siRI2Rra0uamprUvn172rJlS40cLEqkeK6W1her+1xFu5lIut6tjDI2lTI247t37+jbb7/lbAZbW1vasmULESlnw8fFxZGrqytpaGhQ8+bNadeuXQSAUlNTZaYhzleebiMqn19tbW1JKBTS//73P9qwYYPEwaKK5tA3b97Q0KFDSVtbm8zMzOjHH3/k1YEi3RcaGqpwTmYwGIzqICCqtGkVg8FgMBiMWoGIYGdnh3HjxmHKlCly48bExKBjx454+fLlR93/MSIiApMnT0ZeXt5Hy4PBkEZcXBzatWuHu3fvolGjRrUtDoPB+AIIDAxEXl4et63fx8Lb2xvu7u5YvXr1R82HwVCGnTt3YsSIEXj16pXSe64zGAzGlwjbE53BYDAYjM+AZ8+eYc+ePXj8+DFGjBhR2+IwGJ+cgwcPQiQSwc7ODnfv3sWkSZPQtm1b5kBnMBgMBqMG2bZtGxo2bIi6desiKSkJM2fOxIABA5gDncFgMBTAnOgMBoPBYHwG1KlTByYmJtiwYQMMDQ1rWxwG45Pz5s0bzJw5Ew8ePICJiQm6dOmCFStW1LZYDAaDwWD8p3j8+DHmzZuHx48fw8LCAv3798fixYtrWywGg8H47GHbuTAYDAaDwWAwGAwGg8FgMBgMBoMhAxXFURgMBoPBYDAYDAaDwWAwGAwGg8H4MmFOdAaDwaglBALBRz+46kNQJF9MTAwEAkGVDpwMDAxE7969P1i2mkrnQ7CxsZF7INj9+/chEAiQmJhYrfS9vb0xefLkaj37sahOm9ckn2Od/Fs5dOgQbG1toaqq+q+p09ruf/9l/m1jS5H+Zcin8vz0qcZWXFwcXFxcoK6uzs3h0sI+FjVhd30q+0OZNgkLC4O7u7vSaVan/B9zrLFx/O8jIiKiyofZ/9vmFwaDwZAHc6IzGAxGNSktLcWqVavg4uICLS0tGBoaonv37oiLi+PFq+pLzqemuvJ5enoiJycH+vr6NS/U/+dDHdHyUNZpUJ0XBgCwsrJCTk4OmjRpUj0BGV8Un9pBPHr0aHz99dd4+PAhFi5c+EnyZDBqioSEBHzzzTc1kpay88x/6Uec2pqfpkyZAnd3d2RlZSEiIkJm2H+JQYMGoVu3brywqKgoCAQChIWF8cLDwsJQv359pdOeNm0azp49WxNiyqQmx9q/Beb0lc3AgQORnp5epWcOHDhQ43bG5s2b0bx5c+jo6MDa2hqrVq2q0fQZDAZDFsyJzmAwGNWAiDBo0CAsWLAAkyZNQkpKCmJiYmBlZQVvb+9aW2FeXFz8yfLS0NCAubk5BALBJ8vz34SqqirMzc2hpvblnOFdWlqKsrKy2haDoYD8/Hw8ffoUvr6+sLS0hK6ubrXS+ZT6hvHf40P0hampKbS1tWtYoi+H2pqfMjMz0alTJ9SrV4/7cVpa2H+Jjh07Ii4uDu/fv+fCoqOjYWVlhZiYGF7c6OhodOzYUem0RSIRjI2Na0pUqfyXx9p/dQ77mOUSCoWoU6dOlZ4xMjKqtp0hi3PnzmHu3Lm4desW5syZg6lTpyI2NrZG82AwGAxpMCc6g8FgVIN9+/bhjz/+wLZt2xAcHIwGDRrAzc0NGzZsQK9evRAcHIy3b98iIiIC8+fPR1JSEgQCAQQCAW+l1fPnz9GnTx9oa2vDzs4Ohw8f5uVz+/ZtdO/eHSKRCGZmZhg2bBieP3/O3ff29saECRMwefJkmJiYwNfXF0TErWbS1NSEpaUlQkJCpJbjQ+SrvCpPvGL75MmTcHJygkgkQrdu3ZCTkyOzHhMSEmBqaoply5ZJvd+gQQMAQNOmTSEQCODt7c27/9NPP8HCwgLGxsYYP348SkpKuHvbt29HixYtoKurC3NzcwwZMgRPnz4FUL7yUPyiamhoCIFAgMDAQIn8Y2JiMGLECLx69Yqrn4orxwoKCjBy5Ejo6uqifv362LBhA3ev8urGly9fwt/fH6amphAKhbCzs0N4eLjMugGAsrIyzJgxA0ZGRjA3N5dYtbZy5Uq4uLhAR0cHVlZWGDduHPLz87n72dnZ6NmzJwwNDaGjo4PGjRvj+PHjMvOTV2fSELf54cOH4ezsDE1NTTx48ABFRUWYNm0a6tatCx0dHbRu3ZrnLMjNzcXgwYNRt25daGtrw8XFBbt37+al/fbtWwwfPhwikQgWFhZYsWIF7/6CBQukrqJ0d3fH3LlzZcp8+PBh2NnZQUtLCx07dsTWrVslVpdGRkaicePG0NTUhI2NjUTeNjY2+OGHH2S2PQA8fPgQAwYMgIGBAYyMjODn54f79+9LlUlefywqKkJISAjq1KkDLS0ttGvXDgkJCbznY2Nj0apVK2hqasLCwgKzZs3iOWwqEhMTw73MdurUCQKBADExMUq1iTR9I42EhAT4+PjAxMQE+vr68PLywvXr13lxBAIBNm3aJFf/HT9+HPb29hAKhejYsaPM+quc7u+//47//e9/0NbWhpOTEy5duoS7d+/C29sbOjo68PT0RGZmJvdMZmYm/Pz8YGZmBpFIhJYtW+LMmTO8dBW1eadOnTBhwgTeM8+ePYOGhobMlaLir4B+//13WFlZQVtbGwMGDMCrV6948TZt2gQnJydoaWnB0dERv/76K+/+rVu30KlTJwiFQhgbG+Obb77h6QHx9hPz58+Hqakp9PT0MGbMGLmOFkVjWBqK9FF19YU0Km4DIW0leV5eHte3Afn6V9E8I87jU41RMX/99Rfat28PoVAIKysrhISE4O3bt9x9RfpaXpnlrb5/+/Yt9PT08Mcff/DCDx06BB0dHbx580aqvPLqQZxfbm4uRo4cydka0sIA5WyfkJAQufNjRkYGOnToAC0tLTg7O+P06dMSMivS06WlpZgyZQoMDAxgbGyMGTNmgIikll8WHTt2RH5+Pq5evcqFxcTEYNasWYiPj0dhYSEAoLCwEPHx8RJO9GvXrqFFixbQ1taGp6cn0tLSuHvSviTcsmULN39ZWFhI6CVFdmdlKo61qtiXYo4cOYKWLVtCS0sLJiYm6NOnj8y4Dx48gJ+fH0QiEfT09DBgwAA8efKEu5+UlISOHTtCV1cXenp6aN68Oa9eFY0ZGxsbLFy4EMOHD4eenp7UFfaBgYGIjY3FmjVrOLtP3CeqMo6VHUeK9Le0VfG9e/fm2azKlAtQrKvEdv2xY8fg6uoKLS0ttGnTBrdv3+biVP46U9wHt2/fDhsbG+jr62PQoEE8PVG5DC9fvsTw4cNhaGgIbW1tdO/eHRkZGRJ5yHuf2LlzJ3r37o2GDRsiODgYenp6ePjwodRyMxgMRo1CDAaDwagyvXr1Int7e6n34uLiCAAdPHiQCgoKaOrUqdS4cWPKycmhnJwcKigoICIiAFSvXj3atWsXZWRkUEhICIlEIsrNzSUiopcvX5KpqSnNnj2bUlJS6Pr16+Tj40MdO3bk8vLy8iKRSETTp0+n1NRUSk1Npf3795Oenh4dP36csrOzKT4+njZs2CBV1g+RLzo6mgDQy5cviYgoPDyc1NXVqUuXLpSQkEDXrl0jJycnGjJkCJdfQEAA+fn5ERHR2bNnSV9fn37//XeZ9XzlyhUCQGfOnKGcnBwu74CAANLT06MxY8ZQSkoKHTlyhLS1tXnl3Lx5Mx0/fpwyMzPp0qVL5OHhQd27dyciovfv31NkZCQBoLS0NMrJyaG8vDyJ/IuKimj16tWkp6fH1c+bN2+IiMja2pqMjIxo3bp1lJGRQUuWLCEVFRVKTU0lIqKsrCwCQDdu3CAiovHjx5O7uzslJCRQVlYWnT59mg4fPiyz7F5eXqSnp0dhYWGUnp5OW7duJYFAQKdOneLirFq1is6dO0dZWVl09uxZcnBwoLFjx3L3e/ToQT4+PnTz5k3KzMykI0eOUGxsrMw85dUZkew29/T0pLi4OEpNTaW3b99ScHAweXp60vnz5+nu3bu0fPly0tTUpPT0dCIievToES1fvpxu3LhBmZmZtHbtWlJVVaX4+Hgur7Fjx1L9+vXpzJkzdPPmTfrf//5Hurq6NGnSJCIievjwIamoqNCVK1e4Z65fv04CgYAyMzOllu/evXukrq5O06ZNo9TUVNq9ezfVrVuXV6arV6+SiooKLViwgNLS0ig8PJyEQiGFh4dz6Shq++LiYnJycqKRI0fSzZs3KTk5mYYMGUIODg5UVFQkIZe8/hgSEkKWlpZ0/PhxunPnDgUEBJChoSE3Fh49ekTa2to0btw4SklJoYMHD5KJiQmFhoZKrYOioiJKS0sjABQZGUk5OTlUVFSkVJtI0zfSOHv2LG3fvp1SUlIoOTmZgoKCyMzMjF6/fs3FUaRfHjx4QJqamjRlyhRKTU2lHTt2kJmZGa+tpAGA6tatS3v37qW0tDTq3bs32djYUKdOnSgqKoqSk5OpTZs21K1bN+6ZxMRE+u233+jWrVuUnp5Oc+bMIS0tLcrOzla6zXfu3EmGhoZUWFjIPbNy5UqysbGhsrIyqbKGhoaSjo4OderUiW7cuEGxsbFka2vL05k7duwgCwsLioyMpHv37lFkZCQZGRlRREQEERHl5+eThYUF9e3bl27dukVnz56lBg0aUEBAAJdGQEAAiUQiGjhwIN2+fZuOHj1Kpqam9N133/HaVjy2iEjhGJaGIn1UXX0hDWtra1q1ahURSepaovL5EwBFR0cTkXz9K2ueqcinHKNERHfv3iUdHR1atWoVpaenU1xcHDVt2pQCAwO5OIr0tbwyV66zyrp91KhR9NVXX/Fk6tWrFw0fPlymzPLq4f3795STk0N6enq0evVqysnJofz8fImwgoICpW0fefNjaWkpNWnShDp37kyJiYkUGxtLTZs25WwzIuX09LJly8jQ0JAiIyM5Xaarq8vZMcpiaWlJP/zwAxERvX79mtTU1Ojp06fk6OhI586dI6JyvQmA7t+/z2uT1q1bU0xMDN25c4fat29Pnp6eXLqhoaHk5ubGXf/666+kpaVFq1evprS0NLpy5Qo3TogU611pVBxrVbEviYiOHj1KqqqqNG/ePEpOTqbExESuHiqnXVpaSu7u7tSuXTu6evUqXb58mZo3b05eXl5c/MaNG9PQoUMpJSWF0tPTad++fZSYmEhEyo0Za2tr0tPTo59++onu3r1Ld+/elZA5Ly+PPDw8aNSoUZzd9/79+2qNY0XjSBn9XVk3ExH5+fnx4ihTLiLFukrc55ycnOjUqVOc7WVjY0PFxcVEVK7H9fX1uTRDQ0NJJBJxZTh//jyZm5vLnV969epFTk5OdP78eUpMTCRfX1+ytbXl5aHofaIi8+bNIwsLC3r+/LnU+wwGg1GTMCc6g8FgVANHR0eZL1EvXrwgALRs2TIiknzJEQOA5syZw13n5+cTADpx4gQRES1cuJC6du3Ke+bhw4fcSzxRuWHatGlTXpwVK1aQvb09Z4wqorrySXOoAuAZ7+vWrSMzMzPuWuxEP3DgAIlEItqzZ49c2aQ5R8TpWFtb0/v377mw/v3708CBA2WmlZCQQAA4J3hl+WVR+YVBjLW1NQ0dOpS7Lisrozp16tD69eulyt6zZ08aMWKE3Lwq4uXlRe3ateOFtWzZkmbOnCnzmf3795OxsTF37eLiQmFhYUrnWRlFdSZuc/FLLBFRdnY2qaqq0t9//81Lq3PnzjR79myZefXo0YOmTp1KRERv3rwhDQ0N2rdvH3c/NzeXhEIh70Wse/fuPCfdxIkTydvbW2YeM2fOpCZNmvDCvv/+e16ZhgwZQj4+Prw406dPJ2dnZ+5aUdtv376dHBwceM7ToqIiEgqFdPLkSamySeuP+fn5pK6uTjt37uTCiouLydLSkn788UciIvruu+8k8lq3bh2JRCIqLS2VmldlB6MsKrYJkXR9owylpaWkq6tLR44c4cIU6ZfZs2fz6pyovP2UcaJXTPfSpUsEgDZv3syF7d69m7S0tOTK3LhxY/r555+5a0Vt/u7dOzI0NKS9e/dycVxdXeWOv9DQUFJVVaVHjx5xYSdOnCAVFRXKyckhIqJGjRrRrl27eM8tXLiQPDw8iIhow4YNZGhoSPn5+dz9Y8eOkYqKCj1+/JiIyvWlkZERvX37louzfv16Xh+p6OSo7hiuTGV9VJP6oqpOdHn6V9Y8U5lPOUaDgoLom2++4YVduHCBVFRU6N27d1Kfqayvq1LmymWLj48nVVVV+ueff4iI6MmTJ6SmpkYxMTFS01OmHoiI9PX1eT9ISgtT1vaRNz+ePHmS1NTUeP3qxIkTPCe6MnrawsKCJ39JSQnVq1evyk50f39/rkzHjh3jdNs333xD8+bNIyKiuXPnUoMGDbhnxG1y5swZLuzYsWMEgOsDle03S0tL+v7772XKoUjvSqPiWKuqfenh4UH+/v5KpX3q1ClSVVWlBw8ecPfv3LlDALgfy3V1dbkfECujzJixtram3r17K5RbmuO6OuNY0ThSRn8r60RXVC5lxqi4z1W0zcW2l3huk+ZE19bW5v1IPn36dGrdujV3XbEM6enpBIDi4uK4+8+fPyehUMjZfMq8T4iZP38+mZmZ0e3bt+WWn8FgMGoKtp0Lg8FgVBOq4ie90nB1deX+19HRgZ6eHvc5dlJSEqKjoyESibg/R0dHAOBtRdC8eXNemv3798e7d+/QsGFDjBo1CgcPHlT42Xh15JOGtrY2GjVqxF1bWFhIxI+Pj0f//v2xfft2DBw4sFpyAUDjxo2hqqoqM69r166hZ8+eqF+/PnR1deHl5QWg/HPhmqJi/QgEApibm8usn7Fjx2LPnj1wd3fHjBkzcPHixSqlD0iW8cyZM+jcuTPq1q0LXV1dDBs2DLm5uSgoKAAAhISEYNGiRWjbti1CQ0Nx8+ZNuflVp840NDR4ct66dQulpaWwt7fn9d3Y2Fiu35aWlmLhwoVwcXGBkZERRCIRTp48yeWTmZmJ4uJitG7dmkvXyMgIDg4OvLxHjRqF3bt3o7CwEMXFxdi1axdGjhwpU9a0tDS0bNmSF9aqVSvedUpKCtq2bcsLa9u2LTIyMlBaWsqFyWv7pKQk3L17F7q6ulz5jYyMUFhYyBu7isjMzERJSQlPHnV1dbRq1QopKSmcvB4eHryzCdq2bYv8/Hw8evRI6bwUtYmYyvpGGk+ePMGoUaNgZ2cHfX196OnpIT8/XyItefolJSWF1/4A4OHhoVRZKqZrZmYGAHBxceGFFRYW4vXr1wDK94ifNm0anJycYGBgAJFIhJSUFLnyVm5zLS0tDBs2DFu2bAEAXL9+Hbdv35a6TVRF6tevj7p16/LKWFZWhrS0NLx9+xaZmZkICgrijaVFixZx/SglJQVubm7Q0dHh0mjbti2Xhhg3NzfevsYeHh7Iz8+X+vm7MmNYGor0EVA9fVETVEf/KsPHGqNJSUmIiIjg1Ymvry/KysqQlZUFQLG+/pAyt2rVCo0bN8bWrVsBADt27IC1tTU6dOhQ7XpQFmVtH3nzY0pKCqysrGBpacndr6w/FOnpV69eIScnh6eH1NTU0KJFiyqVByjfziIuLg4lJSWIiYnhtgzy8vLithyKiYmRuh96xXJaWFgAgFQ74+nTp/jnn3/QuXNnubJU1a6rSFXty8TERIXyiBG3mZWVFRfm7OwMAwMDrg9NmTIFwcHB6NKlC5YuXcrrD8qMGQDVaj+xfFUdx4rGkbL6WxkUlasqY7TiWBHbXvLGsY2NDW/Pc2m2v5iUlBSoqanxxpWxsbFEHsq8Tzx58gRhYWHYunUrGjduLFM+BoPBqEm+nNPOGAwGowaxt7eXaVCKw+3t7RWmo66uzrsWCATcQWv5+fno2bOn1P3CxS9SAHjGNwBYWVkhLS0NZ86cwenTpzFu3DgsX74csbGxEvl9iHzKxq/8Y0OjRo1gbGyMLVu2oEePHlWWSRnZ3r59C19fX/j6+mLnzp0wNTXFgwcP4OvrW6MHLlWlfrp3747s7GwcP34cp0+fRufOnTF+/Hj89NNP1Ur//v37+N///oexY8di8eLFMDIywl9//YWgoCAUFxdDW1sbwcHB8PX1xbFjx3Dq1CksWbIEK1aswMSJEyXyqm6dCYVC3ktlfn4+VFVVce3aNd6PHED5IWgAsHz5cqxZswarV6/m9lCePHlyldumZ8+e0NTUxMGDB6GhoYGSkhJ8/fXXVUqjuigau82bN8fOnTslnjM1Nf0k8lUVZduksr6RRkBAAHJzc7FmzRpYW1tDU1MTHh4eEmlVVb8oS8V0xX1TWpg4r2nTpuH06dP46aefYGtrC6FQiK+//rrK8gYHB8Pd3R2PHj1CeHg4OnXqBGtr62qXQ7wv7saNGyV+UKg8tmoSZcZwZZTRR0D19IUiVFTK1wRVnGsqno8BVE//1ib5+fkYPXq01P2m69evr5S+/tAyBwcHY926dZg1axbCw8MxYsSIT3KQuLK2z4fqj0+ppzt27Ii3b98iISEB0dHRmD59OoByJ/rIkSPx4sULxMfHY/To0RLPytNdFREKhUrJ8iH1VlX7UlmZlCUsLAxDhgzBsWPHcOLECYSGhmLPnj3o06ePwjEjRpk5rCb50HGkoqIiYUdX1m/Apy9XRT7GXK7M+8Tjx49BRBILLBgMBuNjwlaiMxgMRjUYNGgQMjIycOTIEYl7K1asgLGxMXx8fACUr7yruIJVWZo1a4Y7d+7AxsYGtra2vD9FxrJQKETPnj2xdu1axMTE4NKlS7h165bUuNWVr7qYmJjg3LlzuHv3LgYMGCD1ZaCibACqLF9qaipyc3OxdOlStG/fHo6OjhIrWJRNuybrx9TUFAEBAdixYwdWr14tcRhlVbh27RrKysqwYsUKtGnTBvb29vjnn38k4llZWWHMmDE4cOAApk6dio0bN0pNT5k6U4amTZuitLQUT58+lei35ubmAIC4uDj4+flh6NChcHNzQ8OGDZGens6l0ahRI6irqyM+Pp4Le/nyJS8OUL4qMCAgAOHh4QgPD8egQYPkvrQ7ODjwDiEDIHEAoJOTE+Li4nhhcXFxsLe3V9px2axZM2RkZKBOnToSdaCvry/1GWn9sVGjRtDQ0ODJU1JSgoSEBDg7O3PyXrp0ifdyGRcXB11dXdSrV08pecXPyGuTqhAXF4eQkBB89dVX3AF3FQ8FVAYnJydcuXKFF3b58uVqyaOIuLg4BAYGok+fPnBxcYG5ublSh5hWxsXFBS1atMDGjRsVfhUh5sGDB7xxe/nyZaioqMDBwQFmZmawtLTEvXv3JPqR+DBMJycnJCUl8Q7Pi4uL49IQk5SUhHfv3vHyEYlEvFWfYpQZw5VRVh/VRF6VETs8Kx46J+3ATFn6typzQeV4H2uMNmvWDMnJyRJ1YmtrCw0NDaX19YfMOUOHDkV2djbWrl2L5ORkBAQEyIyrTD0oy4fYPmKcnJzw8OFDXp+orD8U6Wl9fX1YWFjw5qH379/j2rVrVSoPUF4/VlZWOHz4MBITE7mvBurWrYu6detixYoVKC4ulroSXVl0dXVhY2Mj8yDjmqIq9qWrq6vS8ojbrOLXMcnJycjLy+P1IXt7e3z77bc4deoU+vbtyx2Wq2jMVAVpdl9151p540gZ/W1qasrrx6WlpbyDPpWlKmO04lgR215OTk5VzlMaTk5OeP/+PW9c5ebmIi0trcq6wt7eHgkJCbwvThgMBuNjw5zoDAaDUQ0GDRqEPn36ICAgAJs3b8b9+/dx8+ZNjB49GocPH8amTZu4lz0bGxtkZWUhMTERz58/R1FRkVJ5jB8/Hi9evMDgwYORkJCAzMxMnDx5EiNGjJD7sh8REYHNmzfj9u3buHfvHnbs2AGhUChzRWR15fsQ6tSpg3PnziE1NRWDBw+W+TlwnTp1IBQKERUVhSdPnuDVq1dKpV+/fn1oaGjg559/xr1793D48GEsXLiQF8fa2hoCgQBHjx7Fs2fPuFWflbGxsUF+fj7Onj2L58+f87YmqArz5s3Dn3/+ibt37+LOnTs4evToB72U2NraoqSkhCvj9u3b8dtvv/HiTJ48GSdPnkRWVhauX7+O6OhomXkqU2fKYG9vD39/fwwfPhwHDhxAVlYWrly5giVLluDYsWMAADs7O5w+fRoXL15ESkoKRo8ejSdPnnBpiEQiBAUFYfr06Th37hy3LYZ4xWlFgoODce7cOURFRSl0Wo4ePRqpqamYOXMm0tPTsW/fPkRERAD4vxV+U6dOxdmzZ7Fw4UKkp6dj69at+OWXXzBt2jSl68Df3x8mJibw8/PDhQsXkJWVhZiYGISEhMj87Ftaf9TR0cHYsWMxffp0REVFITk5GaNGjUJBQQGCgoIAAOPGjcPDhw8xceJEpKam4s8//0RoaCimTJkitb5koahNqoKdnR22b9+OlJQUxMfHw9/fv8orEseMGYOMjAxMnz4daWlp2LVrF9dWNY2dnR0OHDiAxMREJCUlYciQIdVeRRccHIylS5eCiNCnTx+F8bW0tBAQEICkpCRcuHABISEhGDBgAOdAnj9/PpYsWYK1a9ciPT0dt27dQnh4OFauXAmgvK+J07h9+zaio6MxceJEDBs2jNvKBgCKi4sRFBSE5ORkHD9+HKGhoZgwYYLUPqLMGK6MMvpIGtXJqzJCoRBt2rTB0qVLkZKSgtjYWMyZM4cXR57+VXae+ZRjdObMmbh48SImTJiAxMREZGRk4M8//8SECRMAKKevP3TOMTQ0RN++fTF9+nR07dpVrqNQmXpQluraPhXp0qUL7O3teWPr+++/58VRRk9PmjQJS5cuxaFDh5Camopx48YhLy+Pl84vv/yi1JYlHTt2xK+//gpbW1ve2PTy8sLPP/8Me3v7D3YGhoWFYcWKFVi7di0yMjJw/fp1/Pzzzx+UZkWqal+GhoZi9+7dCA0NRUpKCm7duiX1CwOgvM1cXFzg7++P69ev48qVKxg+fDi8vLzQokULvHv3DhMmTEBMTAyys7MRFxeHhIQErk8rGjNVwcbGBvHx8bh//z6eP3+OsrKyas+18saRMvq7U6dOOHbsGI4dO4bU1FSMHTtWog8qQ1XG6IIFC3D27FnO9jIxMUHv3r2rnKc07Ozs4Ofnh1GjRuGvv/5CUlIShg4dirp168LPz69Kad26dQtDhw7Fs2fPakQ2BoPBUAbmRGcwGIxqIBAIsG/fPnz33XdYtWoVHBwc0L59e2RnZyMmJoZnbPbr1w/dunVDx44dYWpqit27dyuVh6WlJeLi4lBaWoquXbvCxcUFkydPhoGBgVyD3cDAABs3bkTbtm3h6uqKM2fO4MiRIzA2NpYav7ryfSjm5uY4d+4cbt26BX9/f6kvx2pqali7di1+//13WFpaKm1gm5qaIiIiAvv374ezszOWLl0q8Ql73bp1MX/+fMyaNQtmZmYyX7Q8PT0xZswYDBw4EKampvjxxx+rXliUr2yaPXs2XF1d0aFDB6iqqmLPnj3VSgso3+N45cqVWLZsGZo0aYKdO3diyZIlvDilpaUYP348nJyc0K1bN9jb2+PXX3+Vmp4ydaYs4eHhGD58OKZOnQoHBwf07t0bCQkJ3CfVc+bMQbNmzeDr6wtvb2+Ym5tLvKAtX74c7du3R8+ePdGlSxe0a9dO6n7cdnZ28PT0hKOjo8SWF5Vp0KAB/vjjDxw4cACurq5Yv34951jR1NQEUL6abd++fdizZw+aNGmCefPmYcGCBQr3tq6ItrY2zp8/j/r166Nv375wcnJCUFAQCgsLoaenJ/UZWf1x6dKl6NevH4YNG4ZmzZrh7t27OHnyJAwNDbnnjh8/jitXrsDNzQ1jxoxBUFCQhBNREcq0ibJs3rwZL1++RLNmzTBs2DCEhISgTp06VUqjfv36iIyMxKFDh+Dm5obffvsNP/zwQ7XkUcTKlSthaGgIT09P9OzZE76+vmjWrFm10ho8eDDU1NQwePBgaGlpKYxva2uLvn374quvvkLXrl3h6urKG6PBwcHYtGkTwsPD4eLiAi8vL0RERHAr0bW1tXHy5Em8ePECLVu2xNdff43OnTvjl19+4eXTuXNn2NnZoUOHDhg4cCB69eqFsLAwmXIpGsOVUUYf1VRe0tiyZQvev3+P5s2bY/LkyVi0aBHvvjz9q+w88ynHqKurK2JjY5Geno727dujadOmmDdvHudkVUZf18ScI96OR5mvKhTVg7JU1/apiIqKCg4ePIh3796hVatWCA4OxuLFi3lxlNHTU6dOxbBhwxAQEAAPDw/o6upK/Dj2/Plzpfbv79ixI968ecPthy7Gy8sLb968+aBV6GICAgKwevVq/Prrr2jcuDH+97//ISMj44PTFVNV+9Lb2xv79+/H4cOH4e7ujk6dOkl8YSRGIBDgzz//hKGhITp06IAuXbqgYcOG2Lt3L4DyLaxyc3MxfPhw2NvbY8CAAejevTvmz58PQPGYqQrTpk2DqqoqnJ2dua2SPmSulTWOlNHfI0eOREBAAPeDQsOGDavdV5Qdo0uXLsWkSZPQvHlzPH78GEeOHKnyan55hIeHo3nz5vjf//4HDw8PEBGOHz9e5e0dCwoKkJaWJveLVgaDwahpBFQTJ+MxGAwGg8Fg1AJEBDs7O4wbNw5Tpkyp8vOLFy/Gb7/9JvWARQajqty/fx+NGjVCQkKCQkd8WFgYDh06JHXrkZokMDAQeXl5OHTo0EfN51NiYWGBhQsXIjg4uLZF+U+zfft2fPvtt/jnn39q1InGYHxJ/FvGkfhw25cvX8LAwKC2xWEwGIzPEnawKIPBYDAYjH8lz549w549e/D48WOMGDFCqWd+/fVXtGzZEsbGxoiLi8Py5cur9bk3g1GRkpIS5ObmYs6cOWjTpk21V7Iz5FNQUIC4uDg8efIEjRs3rm1x/rMUFBQgJycHS5cuxejRoz9rxx+D8bnCxhGDwWD892DbuTAYDAaDwfhXUqdOHSxYsAAbNmxQesuAjIwM+Pn5wdnZGQsXLsTUqVPlbmvBYChDXFwcLCwskJCQoNRe4IzqsWHDBgwaNAiTJ0+Gh4dHbYvzn+XHH3+Eo6MjzM3NMXv27NoWh8H4V8LGEYPBYPz3YNu5MBgMBoPBYDAYDAaDwWAwGAwGgyEDthKdwWAwGAwGg8FgMBgMBoPBYDAYDBkwJzqDwWAwGAwGg8FgMBgMBoPBYDAYMmBOdAajCtjY2GD16tXctUAgwKFDh2pNnn8bmzdvRteuXT9ZfmFhYXB3d+euAwMD0bt370+Wf03z/Plz1KlTB48ePaptURgMBoPBYDAYDAaDwWAwvhi+GCf6s2fPMHbsWNSvXx+ampowNzeHr68v4uLialu0Gmf06NFQVVXF/v37Je6FhYVBIBBgzJgxvPDExEQIBALcv38fAHD//n0IBAKpf5cvXwYAlJaWYunSpXB0dIRQKISRkRFat26NTZs2yZQtJiYGfn5+sLCwgI6ODtzd3bFz506JePv374ejoyO0tLTg4uKC48ePc/dKSkowc+ZMuLi4QEdHB5aWlhg+fDj++ecfXhovXryAv78/9PT0YGBggKCgIOTn58utOxsbG66cOjo6aNasGa8eExIS8M0338hNQx7KOnH/i/21sLAQc+fORWhoqMS9R48eQUNDA02aNKnRPKdNm4azZ88qHb+wsBCBgYFwcXGBmpqazLaKiYlBs2bNoKmpCVtbW0RERChM+8CBA+jatSuMjY0hEAiQmJgoEefx48cYNmwYzM3Nuf4XGRnJ3TcxMcHw4cOl1iGDwWAwGAwGg8FgMBgMBuPj8MU40fv164cbN25g69atSE9Px+HDh+Ht7Y3c3NyPmm9xcfFHTb8yBQUF2LNnD2bMmIEtW7ZIjaOlpYXNmzcjIyNDYXpnzpxBTk4O76958+YAgPnz52PVqlVYuHAhkpOTER0djW+++QZ5eXky07t48SJcXV0RGRmJmzdvYsSIERg+fDiOHj3KizN48GAEBQXhxo0b6N27N3r37o3bt29zZbx+/Trmzp2L69ev48CBA0hLS0OvXr14efn7++POnTs4ffo0jh49ivPnzyvlAF+wYAFycnJw48YNtGzZEgMHDsTFixcBAKamptDW1laYxofyMforEeH9+/c1KGXV+OOPP6Cnp4e2bdtK3IuIiMCAAQPw+vVrxMfHf3Be4rKKRCIYGxsr/VxpaSmEQiFCQkLQpUsXqXGysrLQo0cPdOzYEYmJiZg8eTKCg4Nx8uRJuWm/ffsW7dq1w7Jly2TGGT58ONLS0nD48GHcunULffv2xYABA3Djxg0uzogRI7Bz5068ePFC6XIxGAwGg8FgMBgMBoPBYDA+APoCePnyJQGgmJgYufGys7OpV69epKOjQ7q6utS/f396/Pgxdz8gIID8/Px4z0yaNIm8vLy4ay8vLxo/fjxNmjSJjI2Nydvbm4iIbt++TT169CBdXV0SiUTUrl07unv3Lvfcxo0bydHRkTQ1NcnBwYHWrVtXrbJGRERQmzZtKC8vj7S1tenBgwe8+6GhoeTm5kY+Pj7Uv39/LvzGjRsEgLKysoiIKCsriwDQjRs3ZObl5uZGYWFh1ZKzIl999RWNGDGCux4wYAD16NGDF6d169Y0evRomWlcuXKFAFB2djYRESUnJxMASkhI4OKcOHGCBAIB/f333zLTsba2plWrVnHXJSUlpK2tTbNmzZJ6HwAdPHiQu7558yZ17NiRtLS0yMjIiEaNGkVv3rwhovK6B8D7i46OlpBBmf4qrX3Ez4nTjI6OJgB0/PhxatasGamrq9Pvv/9OACglJYWX3sqVK6lhw4bc9a1bt6hbt26ko6NDderUoaFDh9KzZ8+IiGjr1q1kZGREhYWFvDT8/Pxo6NChMmXu0aMHTZs2TSK8rKyMGjZsSFFRUTRz5kwaNWqU1LLu3r2bPDw8SFNTkxo3bsyrH2lljY6O5vq7GGljWBay4s6YMYMaN27MCxs4cCD5+voqla68saWjo0Pbtm3jhRkZGdHGjRt5YQ0aNKBNmzYplR+DwWAwGAwGg8FgMBgMBuPD+CJWootEIohEIhw6dAhFRUVS45SVlcHPzw8vXrxAbGwsTp8+jXv37mHgwIFVzm/r1q3Q0NBAXFwcfvvtN/z999/o0KEDNDU1ce7cOVy7dg0jR47kVgXv3LkT8+bNw+LFi5GSkoIffvgBc+fOxdatW7k0vb29ERgYqDDvzZs3Y+jQodDX10f37t1lbjOxdOlSREZG4urVq1Uunxhzc3OcO3cOz549q3YaAPDq1SsYGRlx15cuXZJYBezr64tLly7JTUMgEMDAwIBLw8DAAC1atODidOnSBSoqKlVa6aympgZ1dXWlvih4+/YtfH19YWhoiISEBOzfvx9nzpzBhAkTAJRvLTJgwAB069aNW9Xv6ekpkY4y/bUqzJo1C0uXLkVKSgq+/vprtGjRQmILnZ07d2LIkCEAgLy8PHTq1AlNmzbF1atXERUVhSdPnmDAgAEAgP79+6O0tBSHDx/mnn/69CmOHTuGkSNHypTjr7/+4rWHmOjoaBQUFKBLly4YOnQo9uzZg7dv30rEmz59OqZOnYobN27Aw8MDPXv2lFiZX7Gsrq6uyldSFahO/1QWT09P7N27Fy9evEBZWRn27NmDwsJCeHt78+K1atUKFy5c+OD8GAwGg8FgMBgMBoPBYDAYivkinOhqamqIiIjA1q1bYWBggLZt2+K7777DzZs3uThnz57FrVu3sGvXLjRv3hytW7fGtm3bEBsbi4SEhCrlZ2dnhx9//BEODg5wcHDAunXroK+vjz179qBFixawt7fHiBEj4ODgAAAIDQ3FihUr0LdvXzRo0AB9+/bFt99+i99//51Ls379+rCwsJCbb0ZGBi5fvsw5/ocOHYrw8HAQkUTcZs2aYcCAAZg5c6bcND09PTmnrvhPzMqVK/Hs2TOYm5vD1dUVY8aMwYkTJ5SuJwDYt28fEhISMGLECC7s8ePHMDMz48UzMzPD48ePpaZRWFiImTNnYvDgwdDT0+PSqFOnDi+empoajIyMZKZTmeLiYixZsgSvXr1Cp06dFMbftWsXCgsLsW3bNjRp0gSdOnXCL7/8gu3bt+PJkycQiUQQCoXcHufm5ubQ0NCQSEeZ/loVFixYAB8fHzRq1AhGRkbw9/fH7t27ufvp6em4du0a/P39AQC//PILmjZtih9++AGOjo5o2rQptmzZgujoaKSnp0MoFGLIkCEIDw/n0tixYwfq168v4ewVk5eXh1evXsHS0lLi3ubNmzFo0CCoqqqiSZMmaNiwodT9/CdMmIB+/frByckJ69evh76+PjZv3iy3rB8DWf3z9evXePfu3QelvW/fPpSUlMDY2BiampoYPXo0Dh48CFtbW148S0tLZGdnf1BeDAaDwWAwGAwGg8FgMBgM5fginOhA+R7T//zzDw4fPoxu3bpxBwOKV2qnpKTAysoKVlZW3DPOzs4wMDBASkpKlfIS7xkuJjExEe3bt4e6urpE3Ldv3yIzMxNBQUE8R/WiRYuQmZnJxdu2bRuWLFkiN98tW7bA19cXJiYmAICvvvoKr169wrlz56TGX7RoES5cuIBTp07JTHPv3r1ITEzk/YlxdnbG7du3cfnyZYwcORJPnz5Fz549ERwcLFdOMdHR0RgxYgQ2btyIxo0bK/VMZUpKSjBgwAAQEdavX1+tNCozc+ZMiEQiaGtrY9myZVi6dCl69Oih8LmUlBS4ublBR0eHC2vbti3KysqQlpZWJRkU9deqUHn196BBg3D//n3ugNidO3eiWbNmcHR0BAAkJSUhOjqa1x/F98R9ctSoUTh16hT+/vtvAOV7mgcGBkIgEEiVQexc1tLS4oXn5eXhwIEDGDp0KBc2dOhQCec4AHh4eHD/q6mpoUWLFhJjU9pK90/Nzp07eXVXlRXjc+fORV5eHs6cOYOrV69iypQpGDBgAG7dusWLJxQKUVBQUNOiMxgMBoPBYDAYDAaDwWAwpKBW2wJ8SrS0tODj4wMfHx/MnTsXwcHBCA0NVWqbFABQUVGRWNVdUlIiEa+iExUod3jJIj8/HwCwceNGtG7dmndPVVVVKbmA8gMRt27disePH0NNTY0XvmXLFnTu3FnimUaNGmHUqFGYNWuWVKclAFhZWUmsgq2IiooKWrZsiZYtW2Ly5MnYsWMHhg0bhu+//x4NGjSQ+VxsbCx69uyJVatWYfjw4bx75ubmePLkCS/syZMnMDc354WJHejZ2dk4d+4ctwpdnMbTp0958d+/f48XL15IpFOZ6dOnIzAwECKRCGZmZjIdwx8bef1VRaX896+K/VFaXwQk+6O5uTk6deqEXbt2oU2bNti1axfGjh3L3c/Pz0fPnj2lHoAp/hqiadOmcHNzw7Zt29C1a1fcuXMHx44dk1kWY2NjCAQCvHz5khcuXr1fse8TEcrKypCeng57e3uZaSpT1o+BrP6pp6cHoVCIXr168cpTt25dpdLNzMzEL7/8gtu3b3M/Krm5ueHChQtYt24dfvvtNy7uixcvYGpqWgOlYTAYDAaDwWAwGAwGg8FgKOKLWYkuDWdnZ27vZScnJzx8+BAPHz7k7icnJyMvLw/Ozs4AAFNTU+Tk5PDSqLgyWxaurq64cOGCVCenmZkZLC0tce/ePdja2vL+5DmhK3P8+HG8efMGN27c4K0a3717Nw4cOIC8vDypz82bNw/p6enYs2eP0nnJQ1xX0va0FhMTE4MePXpg2bJl+OabbyTue3h44OzZs7yw06dP81Yiix3oGRkZOHPmDIyNjSXSyMvLw7Vr17iwc+fOoaysTOLHisqYmJjA1tYW5ubmVXKgOzk5ISkpiVf2uLg4qKiocFv3aGhooLS0VOk0K1Kxv4odqBX7ozJ9UYy/vz/27t2LS5cu4d69exg0aBB3r1mzZrhz5w5sbGwk+mRFJ3VwcDAiIiIQHh6OLl268L7iqIyGhgacnZ2RnJzMC9+8eTOmTp3K67NJSUlo3749tmzZwosrXjkPlP8gcu3aNTg5OSld5ppCUf/U1dXl1Zm8H9EqIl5ZLv6BRIyqqirKysp4Ybdv30bTpk2rWwQGg8FgMBgMBoPBYDAYDEYV+CKc6Lm5uejUqRN27NiBmzdvIisrC/v378ePP/4IPz8/AOWHTrq4uMDf3x/Xr1/HlStXMHz4cHh5eXFbRHTq1AlXr17Ftm3bkJGRgdDQUNy+fVth/hMmTMDr168xaNAgXL16FRkZGdi+fTu3xcf8+fOxZMkSrF27Funp6bh16xbCw8OxcuVKLo3hw4dj9uzZMvPYvHkzevToATc3NzRp0oT7GzBgAAwMDCQOkhRjZmaGKVOmYO3atTLr7vHjx7y/wsJCAMDXX3+NVatWIT4+HtnZ2YiJicH48eNhb2/Pbf9RmejoaPTo0QMhISHo168fl+aLFy+4OJMmTUJUVBRWrFiB1NRUhIWF4erVq9wBnSUlJfj6669x9epV7Ny5E6WlpVw64gNAnZyc0K1bN4waNQpXrlxBXFwcJkyYgEGDBkndl7sm8Pf3h5aWFgICAnD79m1ER0dj4sSJGDZsGLeHto2NDW7evIm0tDQ8f/5c6g8ryvRXoVCINm3acIdoxsbGYs6cOUrL2rdvX7x58wZjx45Fx44deXUyfvx4vHjxAoMHD0ZCQgIyMzNx8uRJjBgxgvcDwJAhQ/Do0SNs3LhR7oGiYnx9ffHXX39x14mJibh+/TqCg4N5fbZJkyYYPHgwtm7dyh2+CwDr1q3DwYMHkZqaivHjx+Ply5dK5VtVkpOTkZiYiBcvXuDVq1cS2xiNGTMG9+7dw4wZM5Camopff/0V+/btw7fffis33RcvXiAxMZH7ISEtLQ2JiYncHv2Ojo6wtbXF6NGjceXKFWRmZmLFihU4ffo0evfuzaVTUFCAa9euoWvXrjVedgaDwWAwGAwGg8FgMBgMhhToC6CwsJBmzZpFzZo1I319fdLW1iYHBweaM2cOFRQUcPGys7OpV69epKOjQ7q6utS/f396/PgxL6158+aRmZkZ6evr07fffksTJkwgLy8v7r6XlxdNmjRJQoakpCTq2rUraWtrk66uLrVv354yMzO5+zt37iR3d3fS0NAgQ0ND6tChAx04cICXbkBAgNTyPX78mNTU1Gjfvn1S748dO5aaNm1KREShoaHk5ubGu//q1SsyMTEhAJSVlUVERFlZWQRA6t/u3buJiGjDhg3UsWNHMjU1JQ0NDapfvz4FBgbS/fv3pcpBRBQQECA1zYp1SES0b98+sre3Jw0NDWrcuDEdO3aMuydPtujoaC5ebm4uDR48mEQiEenp6dGIESPozZs3MmUjIrK2tqZVq1YpfR8AHTx4kLu+efMmdezYkbS0tMjIyIhGjRrFy/Pp06fk4+NDIpFIQl4xyvbX5ORk8vDwIKFQSO7u7nTq1ClemtHR0QSAXr58KbUsAwYMIAC0ZcsWiXvp6enUp08fMjAwIKFQSI6OjjR58mQqKyvjxRs2bBgZGRlRYWGhzDoTc+fOHRIKhZSXl0dERBMmTCBnZ2epcXNyckhFRYX+/PNPrr137dpFrVq1Ig0NDXJ2dqZz585x8WWVtXJ/DwgIID8/P7lyWltbS+1bFYmOjubGa8OGDSk8PFxh+cPDw6WmGxoaysVJT0+nvn37Up06dUhbW5tcXV1p27ZtvHR27dpFDg4OCvNjMBgMBoPBYDAYDAaDwWDUDAKiSpt8MxgMhpJ07twZjRs3lvklQ2X69++PZs2ayf2qojL3799HgwYNcOPGDbi7u1dT0v8Obdq0QUhICIYMGVLbojAYDAbj/7VzxyYMxDAARTWAh7iZrvMebj3BDePFDF4hXTpBAjkO4vcWkOqPEAAAsIUt3rkAv7XWijHG+4XPp67rilLKjZv9tzlnnOcZtdanVwEAAADYhkt04GvHccRaK3rv0Vq7dZZLdAAAAACeJKIDAAAAAEDCOxcAAAAAAEiI6AAAAAAAkBDRAQAAAAAgIaIDAAAAAEBCRAcAAAAAgISIDgAAAAAACREdAAAAAAASIjoAAAAAACREdAAAAAAASLwAJ2Bzvzk7IzAAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Police Brutality"
      ],
      "metadata": {
        "id": "kst1V8O_J48q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/anes_pilot_2020ets_csv.csv')\n",
        "\n",
        "'''\n",
        "impact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\n",
        "politically?\n",
        "'impact6' has the following scoring:\n",
        "  1: All the time\n",
        "  2: Often\n",
        "  3: Sometimes\n",
        "  4: Rarely\n",
        "  5: Never\n",
        "\n",
        "lcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\n",
        "conservative, or neither liberal nor conservative?\n",
        "'lcself' has the following scoring:\n",
        "  1: Very liberal\n",
        "  2: Somewhat Liberal\n",
        "  3: Closer to liberals\n",
        "  4. Neither liberal nor conservative\n",
        "  5: Closer to conservatives\n",
        "  6: Somewhat Conservative\n",
        "  7: Very Conservative\n",
        "'''\n",
        "# df #= df[['impact6', 'impact7']]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        },
        "id": "1xSBWE9JJ7MO",
        "outputId": "856cb823-121b-4c25-9298-f3f8cd2fc870"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "\"\\nimpact6 question:  How often do you secretly wish for bad things to happen to those who disagree with you\\npolitically?\\n'impact6' has the following scoring:\\n  1: All the time\\n  2: Often\\n  3: Sometimes\\n  4: Rarely\\n  5: Never\\n\\nlcself question: When it comes to politics, would you describe yourself, and these groups, as liberal,\\nconservative, or neither liberal nor conservative?\\n'lcself' has the following scoring:\\n  1: Very liberal\\n  2: Somewhat Liberal\\n  3: Closer to liberals\\n  4. Neither liberal nor conservative\\n  5: Closer to conservatives\\n  6: Somewhat Conservative\\n  7: Very Conservative\\n\""
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Remove erroneous data\n",
        "df = df.drop(df[df['excessive'] == 9].index)\n",
        "\n",
        "# Define color palette\n",
        "blue_shades = sns.color_palette(\"Blues\", n_colors=3)\n",
        "purple = ['#800080']\n",
        "red_shades = sns.color_palette(\"Reds\", n_colors=3)\n",
        "custom_palette = blue_shades + purple + red_shades\n",
        "\n",
        "# Create figure\n",
        "plt.figure(figsize=(15, 8))\n",
        "\n",
        "# Normalize counts within each excessive group\n",
        "counts = df.groupby(['excessive', 'lcself']).size().reset_index(name='count')\n",
        "total_per_excessive = df.groupby('excessive').size().reset_index(name='total')\n",
        "counts = counts.merge(total_per_excessive, on='excessive')\n",
        "counts['percentage'] = (counts['count'] / counts['total']) * 100  # Convert to percentage\n",
        "\n",
        "# Plot using normalized percentages instead of raw counts\n",
        "ax = sns.barplot(\n",
        "    x='excessive', y='percentage', hue='lcself', data=counts, palette=custom_palette\n",
        ")\n",
        "\n",
        "# Set labels and title\n",
        "plt.title('Distribution of Answers by Political Ideology')\n",
        "plt.xlabel('How often do you think police officers use more force than is necessary?')\n",
        "plt.ylabel('Percentage within Each Response Group')\n",
        "\n",
        "# Define x-axis labels\n",
        "plt.xticks([0, 1, 2, 3, 4], ['Never', 'Rarely', 'About half the time', 'Most of the time', 'All the time'])\n",
        "\n",
        "# Define ideological labels\n",
        "lcself_labels = {\n",
        "    1: 'Very liberal',\n",
        "    2: 'Somewhat Liberal',\n",
        "    3: 'Closer to liberals',\n",
        "    4: 'Neither liberal nor conservative',\n",
        "    5: 'Closer to conservatives',\n",
        "    6: 'Somewhat Conservative',\n",
        "    7: 'Very Conservative'\n",
        "}\n",
        "\n",
        "# Update legend with ideological labels\n",
        "handles, labels = plt.gca().get_legend_handles_labels()\n",
        "plt.legend(handles, [lcself_labels[int(label)] for label in labels], title='Ideological Bias')\n",
        "\n",
        "# Add annotations for each bar\n",
        "for p in ax.patches:\n",
        "    height = p.get_height()\n",
        "    if height > 0:  # Only annotate non-zero bars\n",
        "        x_pos = p.get_x()\n",
        "        width = p.get_width()\n",
        "\n",
        "        # Find the corresponding percentage\n",
        "        percentage_value = height  # Since y-axis is now percentage\n",
        "\n",
        "        # Annotate with percentage\n",
        "        ax.text(x_pos + width / 2, height, f'{percentage_value:.1f}%',\n",
        "                ha='center', va='bottom', fontsize=8)\n",
        "\n",
        "# Add source text\n",
        "ax.text(0.01, 0.99, 'Stabs', ha='left', va='top', transform=ax.transAxes)\n",
        "ax.text(0, -0.1, 'Source: ANES 2020 Pilot Survey (April 10-18)',\n",
        "        ha='left', va='center_baseline', transform=ax.transAxes)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "lbqUq5pAJ8kG",
        "outputId": "91542601-b584-484a-e9ed-bee70493c96b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x800 with 1 Axes>"
            ],