{
    "cells": [
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# SolasAI Disparity Calculations"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "import solas_disparity as sd\n",
                "import pandas as pd"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Certain notebook environments have limited rendering functionality.\n",
                "Uncomment this cell as a potential workaround if plots are not\n",
                "displaying."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [],
            "source": [
                "# import plotly.io as pio\n",
                "# pio.renderers.default = \"png\""
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "It's preferable to explicitly and specifically handle warnings. For the\n",
                "purposes of this notebook, we will filter out all warnings."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [],
            "source": [
                "from warnings import simplefilter\n",
                "simplefilter(\"ignore\")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Some predictions were created using a tree model run on an HMDA dataset."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [],
            "source": [
                "label = \"Interest Rate\"\n",
                "data = pd.read_parquet(\"hmda_test.parquet\")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Store commonly reused function arguments."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [],
            "source": [
                "protected_groups = [\"Black\", \"Asian\", \"Native American\", \"Hispanic\", \"Female\"]\n",
                "reference_groups = [\"White\", \"White\", \"White\", \"Non-Hispanic\", \"Male\"]\n",
                "groups = sd.pgrg_ordered(\n",
                "    protected_groups=protected_groups,\n",
                "    reference_groups=reference_groups,\n",
                ")\n",
                "reused_arguments = dict(\n",
                "    group_data=data[groups],\n",
                "    protected_groups=protected_groups,\n",
                "    reference_groups=reference_groups,\n",
                "    group_categories=[\"Race\", \"Race\", \"Race\", \"Ethnicity\", \"Sex\"],\n",
                "    sample_weight=None,\n",
                ")\n",
                "binary_outcome = data[\"Prediction\"] <= data[\"Prediction\"].quantile(0.5)\n",
                "binary_label = data[label] <= data[label].quantile(0.5)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Adverse Impact Ratio (AIR)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [],
            "source": [
                "air = sd.adverse_impact_ratio(\n",
                "    outcome=binary_outcome,\n",
                "    air_threshold=0.8,\n",
                "    percent_difference_threshold=0.0,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Adverse Impact Ratio"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Shortfall Method                          │ to_reference_mean                                                   │\n",
                            "│ Affected Groups                           │ Hispanic                                                            │\n",
                            "│ Affected Reference                        │ Non-Hispanic                                                        │\n",
                            "│ Affected Categories                       │ Ethnicity                                                           │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Shortfall Method                          │ to_reference_mean                                                   │\n",
                            "│ Affected Groups                           │ Hispanic                                                            │\n",
                            "│ Affected Reference                        │ Non-Hispanic                                                        │\n",
                            "│ Affected Categories                       │ Ethnicity                                                           │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Adverse Impact Ratio Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 13.68%, Race: 13.56%, Sex: 46.88%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Favorable</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "      <th>Percent Difference Favorable</th>\n",
                            "      <th>AIR</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "      <th>Shortfall</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>141.0</td>\n",
                            "      <td>41.47%</td>\n",
                            "      <td>9.70%</td>\n",
                            "      <td>0.810</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>No</td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>243.0</td>\n",
                            "      <td>74.31%</td>\n",
                            "      <td>-23.14%</td>\n",
                            "      <td>1.452</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>9.0</td>\n",
                            "      <td>45.00%</td>\n",
                            "      <td>6.17%</td>\n",
                            "      <td>0.879</td>\n",
                            "      <td>0.657</td>\n",
                            "      <td>No</td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,854.0</td>\n",
                            "      <td>51.17%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>167.0</td>\n",
                            "      <td>32.87%</td>\n",
                            "      <td>21.54%</td>\n",
                            "      <td>0.604</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "      <td>109.4</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>2,072.0</td>\n",
                            "      <td>54.41%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>414.0</td>\n",
                            "      <td>40.04%</td>\n",
                            "      <td>9.78%</td>\n",
                            "      <td>0.804</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>808.0</td>\n",
                            "      <td>49.82%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
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                        ]
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "air"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Standardized Mean Difference (SMD)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [],
            "source": [
                "smd = sd.standardized_mean_difference(\n",
                "    outcome=data[\"Prediction\"],\n",
                "    label=data[label],\n",
                "    smd_threshold=30,\n",
                "    lower_score_favorable=True,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Standardized Mean Difference"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌────────────────────────────────────┬────────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                   │ Black, Asian, Native American, Hispanic, Female                            │\n",
                            "│ Reference Groups                   │ White, White, White, Non-Hispanic, Male                                    │\n",
                            "│ Group Categories                   │ Race, Race, Race, Ethnicity, Sex                                           │\n",
                            "│ SMD Threshold                      │ 30.0                                                                       │\n",
                            "│ SMD Denominator                    │ population                                                                 │\n",
                            "│ Lower Score Favorable              │ True                                                                       │\n",
                            "│ Affected Groups                    │ Hispanic                                                                   │\n",
                            "│ Affected Reference                 │ Non-Hispanic                                                               │\n",
                            "│ Affected Categories                │ Ethnicity                                                                  │\n",
                            "└────────────────────────────────────┴────────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌────────────────────────────────────┬────────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                   │ Black, Asian, Native American, Hispanic, Female                            │\n",
                            "│ Reference Groups                   │ White, White, White, Non-Hispanic, Male                                    │\n",
                            "│ Group Categories                   │ Race, Race, Race, Ethnicity, Sex                                           │\n",
                            "│ SMD Threshold                      │ 30.0                                                                       │\n",
                            "│ SMD Denominator                    │ population                                                                 │\n",
                            "│ Lower Score Favorable              │ True                                                                       │\n",
                            "│ Affected Groups                    │ Hispanic                                                                   │\n",
                            "│ Affected Reference                 │ Non-Hispanic                                                               │\n",
                            "│ Affected Categories                │ Ethnicity                                                                  │\n",
                            "└────────────────────────────────────┴────────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Standardized Mean Difference Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 13.68%, Race: 13.56%, Sex: 46.88%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Average Label</th>\n",
                            "      <th>Average Outcome</th>\n",
                            "      <th>Difference in Average Outcome</th>\n",
                            "      <th>Std. Dev. of Outcomes</th>\n",
                            "      <th>SMD</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000653</td>\n",
                            "      <td>0.00</td>\n",
                            "      <td>27.559</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>0.04</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>-0.001668</td>\n",
                            "      <td>0.00</td>\n",
                            "      <td>-70.355</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000655</td>\n",
                            "      <td>0.00</td>\n",
                            "      <td>27.617</td>\n",
                            "      <td>0.199</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td></td>\n",
                            "      <td>0.00</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.001032</td>\n",
                            "      <td>0.00</td>\n",
                            "      <td>43.545</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td></td>\n",
                            "      <td>0.00</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000395</td>\n",
                            "      <td>0.00</td>\n",
                            "      <td>16.655</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td></td>\n",
                            "      <td>0.00</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
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q1Ch8/vnn6rM33ngDjzzyCGpqajB48GA8//zzSE9Pb9L9cefIJ0ABMXiOKCAGA+bwJEACJEACJEACTSLQ3AIiQjFnzhy89NJL+OWXX2A2m7Fx40Y4nU507doVq1evVpKRn5+PxMRE3HPPPVi6dKkSkJSUFGRnZ6Njx45YuHChiqhIalenTp1w7733Ys2aNXjvvfeadH/cOfIJUEAMniMKiMGAOTwJkECbIvDfTz7Fro2/wmxu/LbdPhPK3Gb4A0CsNYA4mx8mU3hMfj9Q7LLAGwAclgASbf6Q59FGDASCx3l8gM0CJNt9uo+T66zxmWAxAakO/cdVeMyo9ppgNgFJdj9slkD4GwwAlV4TKj1mxUPuT+4TddiYHfE466LLER/rDD8e92i1BJpLQH788UclGYWFhTj11FMxd+7cRqMVIiIS5RgwYAC6d++ON998E2PGjKnH8PLLL0fv3r1xxx13qJ/n5uaqaEp1dTXTulrt09bwhVNADJ5QCojBgDk8CZBAmyLw8uzZ+Kv5TSTafAfct4hAicuEpXkOuL0mdE/0on+qB9YQsqIN4vYB32U7UeE2oX2cHyPTXUomwm1y3JIcJwpqzEhz+DGuQw3sOo4TWfmlwI5dlRYlSUd0rEGcjrR5rx9YX2zD72VW2M0BjM50IcURCCtYPj/UMetLbLAggGHpbrSP9SuBqbu9lz8EIy56CF07poW7dX7eigk0l4BoNSAiHlIDsnjxYpj22v7bb7+NefPmwe12K1Lff/89li1bhkGDBqlUra1bt6ooR91twoQJ+O2335CQkFD744KCAhUFad++fSsmzkvfnwAFxOBnggJiMGAOTwIk0KYIvPrcbFxsnY9Ee30BEfkod5uwcI9TRQayErwYmu7WLR/f7o5R8pIZ48O4DvrkQyRiSY4DOVUWJNkDOLZztW75+LXQjq1lVsRYgvKRaNcnERuKbdhQYoPNHMCoTBfSYw6UiP0fCJGP7eUW/FrogAkBDG3nRpcE3wHyIce9lTccgydRQKL9S9XcAiL1H1Kv8c9//hMXXnghfvjhB0yaNEmlUknkQ7bMzEx89dVXSkDkZyIohx9+eD3Ul112GYYOHYobbrgh2qegzd8fBcTgR4ACYjBgDk8CJNCmCDQkIJp8LNrjRJXXhG4JXvUb/nCRDzmuxgssynGiqMaMjBgfjtAhH3Kcywf8nOfAnioLku1+HN0pfORDjnP7gV8L7NhRYUWsJYDR7WvCRjDkOIl8bC61YkOJHTZTACPSXciMCy0fcpwvAOxU8mFXUZJBqW50TfDB0khUiALSNr5OzS0gQu3jjz/G5MmTVe3HZ599hvvvvx8rV66EzWZTheUiJlILIgJy5513YtWqVaoGRKIdO3bsUFIi4nLJJZfg008/Rd++fVVhu4wnS/xyiy4CFBCD55MCYjBgDk8CJNCmCOwvIPvLR9cEL4brlI9KD/BTXjB9KsOpL/Ih56v2AqsKHNhTaUGKw4+x7WsQYws9DUp2fMDaIjt2lFsRZ/VjRIYLac7QkQ85ziPpU3vlQ9KuhrRzoYMO+ZBall3lFqwpsqsyj/4pbmQlNi4fjIC0na+SEQIi9I477jiMHTtWFY9LetaSJUuQkZGB008/XaVfPfbYY0pAZIWru+66C++++6768/Dhw5W0yCaRkalTp6rlfCWd669//SumT5/edianjdxpqxUQv9+Po48+GgMHDsRzzz2npkvyBC+66CL1kMuSbS+++GKDDXFC7ffTTz9BQoB79uxRYcD58+ejQ4cOavxQnzX2vFBA2sg3ibdJAiTQIgTqCohW8yE1GJJ21RT5kHStlQV2FFRbVORjTPvwaVdyvkqPCWsKbciusqqi8ZEZLsTZELIGQ5OW9cVB+Uiw+zE4zY12YdKntIjJtjIrJPXKbglgYKoHneIbTp/SJkBFTALA7opg5EOCHX1TPKomprHIh3bsv/KGYyhTsFrkWT6UJ2kOATmU189zt34CrVZApk2bpmy5Z8+etQIi4b2srCy17rTIwrnnnot169YhJiam3kw1tp8URfXp0wfPPvsspMPnzJkz8eWXX+Kjjz5SYcDGPgv1GFBAWv+XhHdAAiQQOQQ0AYm3+VBUY8LyPCcqPE1Luyp1m7Ba5KPGomo+DstwwRmmAFxFWjwmrCuyIbvSijSnD8PauZEQpnZDjqvyAhtLbNheblMrT4l8pDVRPmS1qv4pHnRupHajUfkwAX2T9cmHrBr2SvYIjLl4KovQI+eRN+RKKCCGYOWgTSDQKgVE8gFFIm6++WZ8/fXXSkAkIpKWlobdu3cjNjZWITjzzDMhS7pNnDixFkmo/SRMeOONN6pVHGSTfSX6IefbsGFDo58lJSU1ipwC0oSnkbuSAAmQQBgCIiAXWubD7QtgVYEdshxtt3h9Befygl3qMuG3Ijvyqy1oH+tVBdkx1vARDImYyOpTmnyIRCSFWX0qKB8mbCqxBuXD7sfA1KZHPkQ++ol8xIdOnxJ0UisiNR+SdiUrXPVJ9qCHjsiHsMmtMuOF3SNx1rX3U0Ci/JtIAYnyCW4Ft9fqBESkQHIMn376aWzZskVFKERARDyOPPJItaybtsk60iIlt956a+3PQu0nTXBkvFdeeaV2f1mjetasWUpCGvtMmus0tuWV1LSCx4CXSAIkEPEE5G1WTzOLiL+RP3aBL81+FifW/AvbKiwod5uRleDB4Hbhl9qVF2wpNJdUJk0+BqV5EGcLX4OxudCLY6ZtxIXju2PikGQ4/eWY+eUeLPq9CnarCUf1isOMczohxravsluTj653Ss8Sk6rBECF4+cIuOHlgYj0IX20ox5lzt2HT/f2QkWDDD1sqcfpzv8NqMavjZNrX3dMPqXGh1/eV1a52aPLRhLQrYbOn0oxfChxY5hqMv13/AAXkjz2mEX90RjL7vET8JEX5BbY6AXnyySdRUVGhVld45513agVk06ZNqshp7dq1tVMmqVgiLPJvbQu1nzS7kRUbZs+eXbv/scceq4qpNm/e3Ohnsk9jm0d+HcWNBEiABP4gAfm7xBZuWac/eI7WcPhTT8xE1+wF8AUCyEr0YECqJ+zSt/KCXVhjVulTRS4LOsQG+4Mk6JCPMrcJ5768HSXVAZw2rB0mj43H2t0VcHn9OK5PvFpl6or5OzG0sxM3HZ+hEGppV8v3mDD59U2Yc8lAlT6V3kDfjbIaH06fsxXVHj8+vLo7UuNseHFpBb7YUInJx3XTHfnQltpdIzUfJqjj9NR8CBupFZGIictrwm77QPzl+kfQvXO71vA48BoPkgD/LjlIcDys2Qi0KgFZv369KhD/7rvv1LJudQUkOzsbo0ePxq5du2rh3HTTTapxzW233Vb7s1D7iYDI0m9SeK5tI0aMUBEWEZDGPpPzNrYxBavZnlUORAIkQAKYOfM59Mx7G/1TXKqw2mEJHRjS5GN9HfmQ48L13dBW15q1sAzLtlUhyQEc19uJi0YnHdA/4/mFhViXU4Onz+6k5ENWyZJeHT/u8OKN77fi3at6NCgfMp3XvbULx/SJx/Sv8/H2FVko9cdgzsJiVNV4cO+J6argPFzhuMiH9BSR1DKzKYABOla7knPLcbsrLUrManxm9E5yY5V3MIaezz4g0f5VYwpWtM9w5N9fqxKQhx56CI8++igslmAY2uPxwOv1qrWif/nlF7Rr106lZSUnJ6vPTznlFFx55ZU444wzamciEAg0up+sQX3VVVfh559/VvvL2LKaloy5bdu2Rj9LTU2lgET+s84rJAESiAICT09/Dn92vYlh6TVwhpEPCUAXVJtVAXixy4zOcT70Sg4vHyItJS4zftwVwO1vb8a0v/XFh8t24OhesThnRPD/L9q2MbcGl83fiYdP64CjesWrQvXNJTbV5yO/qBz3v7ceHRJt8PoDmNA/Afed3B5xjmCq1v/WlWPe0iLMu6QbRj+2EU+e1wdFvlj8b1U2/vdLDmLtJsTZzbh0bCquOrLhzuTSx2R7ufQHsQEBqAL3UH0+tOuWPia7yq2qt0iNz6QK1XsmefFuIRsRRsHXJOwtUEDCIuIOBhNoVQKyP4u6ERD5TGRDOm0++OCDahUsScmSlKu4uDhMmTIF9913n/o81H4DBgzAjBkzcMIJJ6hVsD788EPVuVNSuRr7LNQcMQJi8BPM4UmABNoUgdmz5uAS6zxkxPpClsSIfEiTQKn5qPSIfHjRJ8WD+DBpV1qtyG+FNtz73mb8dXQGzhvqxMOf7sLYHnE4e3hQQP69ogS3vLsbZTV+/P2Ydrj35Pao9pnV6lpSY5Jk92NQmht2kwfJMRaUVPtw0zu7kRZvxRNndkRptQ+nzP4dH0zujlinDWMe34h/TOyvakAGp9Ugxe5DgtOMLQUunP/ydtx5YiZOG1J/wRORj3XFNuwsDy7hJQX1egrVRT5EkmR5X0khU4XqSV5ICcuCfApIW/hCtYSAlFc2rQY2IY51KW3h2dPuMaoEpKSkBBdffDEWLVqkoiBSyzFhwgTV5EaW0JVle6VvSGP7CRTp0iljSFdO6bw5b948dO/eXfEK9VljDw0FpC19nXivJEACRhN4ec5sXGKdjySHr9FTaRKxutCuIhld470qXSucfGi1GyvzHXh3RRHyiiow66/tkewI4Lb3dmNMHQHRTl5U6cXDn+ei3BXApcf1xK6KYHPCIQ0stbs5z4WzX9yGVXf2xTVv7sIJAxIwcXCS6ivyt7nrcNcZfXF8VuCADuevLCnCip1VmPXXzrX3LOlTEvXYWGJVfT5kSeBwS/TKwXKciIeIi8hHv2QPspK8sJuDqWzshG70ExwZ4xstIJt35OEfT76P2Bh9UlFRWY2nbjod/XoE+65xi34CrVpAWsP0UEBawyzxGkmABFoLgf07oe9/3VpzQpGP4hoLOsd7VUF2uNWuZByJKKzIdyCnyoIZH6/D5pyK2nqPak8AVgswaWQKpp3dqd5p1+e4cOYL2zH1b8PUUrsj0l1IcQYOqBVZnxNM11p8S29k3LZGraDlD8g/QLXHp9KtpI7k3MPqp3m9sKgQm/JcePzMjuq8IhGSOrWpxKZqToalu9ExTl+tiKyStaHEDrcPqoC/S7xXFfFrC6xRQFrLN+GPXafRArJwxWb8c+6XSE2r/yw3dtVFRaWYevmxOHpUnz92Yw0c/eOPP0JWRf32228PamzpCyfHH3PMMQd1PA9qmAAFxOAngwJiMGAOTwIk0KYIhBIQeRmXVatEIiTy0SnOi4FpbsSG6fMhAD0+YGmuA7lVFtVkcER6/SaDkm6lRUB+3lGFfpkOxDssqHT58ff3CrCr1IubT+qBypJ8lFS6cdm4NKzaVY12cRZ0TrGr/a55aycGdHDijgmZql+HFH//XmaDxRTAfQtW4+NrstAhyYZvN1bgsK4xSHBasKPIjb88vw3Tz+mII3vGNygfHUQ+TKGL8UVadlZYsK7Yru5V5EM6x0vaVd3VnSkgbePrFG0CMmjQINWOwWq1qkWKxo0bp9Lopb0CBSQyn2kKiMHzQgExGDCHJwESaFMEGhMQkY8KD7As14lSkY94ryrIDtdkUJOPJTkO5FZbkObwY3RmDeJs9V/M6wrI7O8KMOeHAri80pvFjN4dknDJ+C44obsXLy/Kw9qcGjw/qQu+WF+O297PRkWNH7F2M84cloQ7T8iA2RxcEnhLmQ1WUwCjM1049Zn1+Ojq7shMtGHaV3mY+0OhmtfkWAv+cVw6zhuZouRjS+m+gnOJfOiRD4mwSHNCWSXL4w/KR1aCF7Kq8/6tZSggbePrFI0C8tZbb0FEpLq6WjWqlnT7f/3rXxSQCH2kKSAGTwwFxGDAHJ4ESKBNEWhMQKo8wKI9TpS6g5GP4enusEv0avKxWOSjKli7cWSHGjh1RkxW5Nuxs8KKOGsA4ztV64q0SORDaj62le+Tj3Yx/tqGg41NprbU7tri4GpXUvMhS/RKz49Q/Sm1Ph+Skub1m9A/xY3uSWrOOusAACAASURBVF5YGzmOAtI2vk7RLCAyg9KuQVowLF269AABuf7661VbBVlJ9fDDD8cbb7yhoiaySqqstPriiy+qfnN/+9vfMH36dNRNwRKhmTNnDr744gs4nfrqW9rGE9X0u6SANJ1Zk46ggDQJF3cmARIggZAEGhIQqWf4elcMyt0mVQshEQVb6Kbh6hySiiSRD6n5SLIHcGzn6rBNDbXjVubb1VK7mnxIxCTcJvKxtsiGzaU22M0BjMp0IT3Gf0CtyP7jaE0Gfy10wISAWu2qS0JQPkJtIh85lWYsz3fAJ/KR6kavJG/IviIUkHCzGB2fR7OAVFVV4cYbb0SXLl1wzz33HCAgixcvVn3jZJO6Dtn37LPPVtGSZ599Fp988gmSkpJQWFio2jZoAiLpXddcc42qJUlLa3hZ7Oh4OlrmLiggBnOmgBgMmMOTAAm0KQJ1BURr+vd9dlA+JB3pcB3yIcfJUrQ/5znUUr3Jdj+O7lQTVj7kOLcf+LXArnpvxNv8GNvehQR7IGQUQo6T1CdZEljkw2kJYFg71wGrXe0/kXKcrFQl6VO/FtrVOQalhu/zIceJfORWmVU9jLbUbp/k0PIh538zbziGTGIjwmj/UkWjgOTk5KgakPz8fNVKYcGCBUhISAiZgnXXXXcpmZDG1dK64ZJLLsGZZ55Zb/pFQCQaItGR//znP+jVq1e0Px4tcn8UEIMxU0AMBszhSYAE2hQBTUASbD5V8/FjjlMVnDdFPqRT+aoCB/ZUBtOuxravQUyYCIa81Nf4JIJhx4698jEyw6WW6A2VAqVJi6xYFZQPv0qfyogNHfmQ46TEZFe5BWuK7CpFS9KnshJDr3alyUdetRnL84Ly0TvJg74p4eVDjn19zwiMvGgqunbkb3ij+YsVjQKi1YC43W7MnTsXr732mmosXbcIXaIjU6dOVT+XWqzNmzfj6quvxi233IJRo0apCIgWHdHmXwRE9nO5XFixYoVqUM3tjxOggPxxhiFHoIAYDJjDkwAJtCkCIiAXWeYD8KsIhnQ47xCrL+1KXrArPSZVg5FdZUWqwweRiP0LzhuKRIi0rC8OykeCXSTChVRnePmQSMuW0qB8xFiCzQnbx+mTj90VwciH9PmQPibdE8NLhKRrafIhURBJuZIGjFJwHmrTli9+Zsco/OXa+ykgUf6timYBkanz+Xyw2+0qjWr9+vW1y/Deeuutqr5j1qxZKloi4tG+fXv174kTJ+KKK67AGWeccUAE5KqrrsKGDRtUTckHH3wQ5U9Hy9weBcRgzhQQgwFzeBIggTZFQATkdO8b2FJmRXGNRD68GJnhDlvzoS3Ru77YhuxKq1pqVyIRetKnqrzAxhIbtpfbkGjzq9W10sLUbmhpXr+XBft1xFoDGJAqq1Y1UT5MQN9kffKh1XxI2pX8uWdSsAFjOPkINm40YXmeE4uqB+PcKRSQaP9SRbOASDH5Sy+9pCId27ZtqxcBkUbT0pBaCtSzs7Nx9NFHY/LkyUpAXnnlFfXPxx9/jMTERLWsb6dOnWprQI466iiMHz9eScqll14a7Y+I4fdHATEYMQXEYMAcngRIoE0ReHH2bPQreFulQ3WM86qCbFm1Ktxv90vdJqwrstf2+RCJSNKRPlXlNWFTiTUoH3Y/Bqa6IatWhSoArysfm0tsiLEG0D/Fg457V60Kda1SqC41H5J2Jefok+xBDx2Rj7ryEUy70hf5kOMKqs1YVWBHhceMbeYBOOHKBxkBifJvVTQKiFYD4vf70a9fP8yYMQPDhw+vJyC//vorJk2apFbA6t69O4477jiYTCYlIHLcfffdh3nz5qmlfM8//3xMmzat3ipYkoolEiKF7FlZWVH+lBh7exQQY/mCAmIwYA5PAiTQpgjMmjkH3XPfQc8kt0pnCtfnQ0stkshHbrUV7Zw+FYlIaZJ8WJFk9yuJSNdRuyFpVxL5aKp8SPqUdCpX8tGEtCttqV2RCPmz1Hz0SQn2+Qi1yb55VWZ1vnK3GVkJHqwNDMKw81mEHu1fqpYQkNtm/w8pqUm6UBYXl+KRq/5kSCd0XRfAnVqcAAXEYOQUEIMBc3gSIIE2ReDp6XNxdNWbGJkZvu+GvNBLjcjmEquSj4wYr4oopDgDISMY8mIuq2ptLZPIR9PkQyIm20Q+Sq0q7Upv5EOkRQrOpVmgRD766az5kOOkmF41GfSZ0DfFDT2rXcnSxXlVFmwosQXlI9GjGhS+Vzgcg7kKVtR/p4wWkJyCMtw56z+Icdp1sayqduOhKaegY0ayrv25U+snQAExeA4pIAYD5vAkQAJtisAzs+bgEst8tI/zhlx9SuQjv9qsXrBLXBYlH/JSL2lXodKnRD4kXWt9kR151dIfxKcr8iGTUOGRNK9gjUmsNRgx0ZN2VeOFus5tZTaYTQEM0LHalZxPK3D/vdQKX8CEfinh+3zIcSIfIlZSHO/ymVTkQ2pFHBZgQT4FpC18oYwWkLbAkPf4xwhQQP4Yv7BHU0DCIuIOJEACJKCbwEtzZuNS63wkOXyNHqOlXa0ptCO/2qIK1UU+9CyZK7UlsvLUznIrUp1+JQPh0q7kQqR2Q7qNiwxIofrAtPAF53KciJLIh4iLzRxQBe5dE0IvtasdJxEaaWwYUEv0elTRuUVH2pXUmMhywiIfPZI86J3sgdMS7KjORoS6H8VWvSMFpFVPX1RcPAXE4GmkgBgMmMOTAAm0KQINdUKvC0Bb7UpesHOrLcjcG/kIJx9aREGkReRDCs6lxiRcwbkmHyICElGIsfoxRMdSu5pESKqWrLAl1y0F9Z3j9cmH1IpsKLGraEb/VA+yEr2w6ZCP7EoLpB5GliPulRRcXatuHQ0FpG18nSggbWOeI/kuKSAGzw4FxGDAHJ4ESKBNEQglIPISL2lQEsGQ+oaMWJ+KYIRb7UoAenzALwV27KwIyodIRLildjX5kL4iv5dJn48Ahqe7wjYZrCsfskRvrXwk+EKmh2nH1ZUPqdvolhAsOA/VEFFSy5R8FNlQ6TWpQvUeSV6VdlX3OApI2/g6UUDaxjxH8l1SQAyeHQqIwYA5PAmQQJsi0JiAyEu89OtYme9QaVcZMT4VwUi0h24WqMnHyvx98jEi3RW2UL2ufGwts8FuDmB0pku3tGwpDfYHkeselu5Gx7imRz5EPromBCMf4eRjT6VZpV1JkbxEPiRda3/5kHuigLSNrxMFpG3McyTfJQXE4NmhgBgMmMOTAAm0KQKNCYh0Kv8p14GCagvSY3zqpT7epk8+VuyVjwSbX0mEnnQtqfn4tTBYOC7yMaZ9jW5pkZQrqRXR5KODyIcptERIrcjOCgvWFctqV1ArVumVj9wqs4oKVXvNe+UjWHDekLRQQNrG16klBKS8sqZJMBPinE3anzu3bgIUEIPnjwJiMGAOTwIk0KYINCQgUgexeI8TBTVmZDh9OCzThVhr6Bd6LfKhyUecNYAjOtSE7YzeUORj7F75CBWFkONEIjaWBCMfJgQjH3rkQ9KnpHBcLbXrD8pHls60q/yqYJNBTT6k4NzeiHwwAtJ2vkpGC8jmHXm4ffpHiNMpFeWV1XhkykT069Gh7UxCG79TCojBD8ARRx5de4a3P/y89s/nnH4ifw6AHIKPATmQA/9+CD4D4TiIgHz88v2wmmXtJ+D9yT2wMDsoH9P/sxZJDr9q4vfJdT1q/449ZfbvtX/+5NrgzyWKcNzMrWolKFmW96vrs2qlpaH95Rj5uUQtpID7xlMHqsiHyMeFL2+BMgo5797xtf21E390dQ/VUV1WvHr4/XUqOuOwBNT+mrg0dF6RjwmztqraFrnjeZf1QvckL6wmYOKcA++r7nVKlOYfpw1Ezd60q9sWbFBs5Fobu84Lzz6rtg8I/16K3r+XjBaQhSs247E3FqJ9Zpqut6zcvCLcfO5YNiLURSs6dqKAGDyPN99+d+0Zbr7trto/P/X4Q/w5AHIIPgbkQA78+yH4DITjIAJS+O2TcFj8KqIwblA35NdY0M7hw5LfttcuQ/vPEzJr/4595L+5tX+Wn4t8SM3HrG9yVP1EtwQP7ju58f21gx/6PFfVlxTVmHHumE4q7SrVGcCj/6s/vra/dl6RiHMO74S1xXZYEMDi37YjYW96WKjrlONyKs248+MCJT7tYnx4/LT02nvc/7608z78ea6Sjp2VVpx6WGf0TPJgYJoHT3wR+jrl+C5DT8TwC4Kd0Pn3UvT+vRStAnLYYYfhqquuwuTJk8O+3Z1zzjm48cYbccQRR4Tdlzs0PwEKSPMzrTciU7AMBszhSYAE2hQBEZCLLPNht/iwNMeJvGoz0hx+HNWpRqUWhdrkJd4ttRsFdtWIL97mx9j2rrBpV3KcpD5tKLZhc6kNTksAIzPCF5zLcb4AVEd1KQC3mAJqqd1O8aFXu5LjRD6kdmNFvkONIR3c9XQ4l2OLXSb8mONEjfT5SPRgUJpHrZIVjo3U0UzbOhpnXnu/EhBu0UsgGgVkzZo1uPbaa+H3+7Fw4cKwk7ds2TL0798fCQkJYfflDs1PgALS/EwpIAYz5fAkQAJtl4AIyHmYjw0lVuypsiDZ7sfRTZAP6dchq1bFWgIYLbUbjtCF6vJCL6lM0q9D+m7YTAHIKlmZcf6QS+Zq8iG1G1IALmlWg1LDNxmU4yTVqqDajJ/yHHD7gkvm9kvVJxHlbhMW7XGq1a5keV6pM9EjH9KNfVGOE99VDsF5Uygg0f4Ni0YBufnmmzFixAi88MILmDt3Lvr27aum8bvvvsNNN92EsrIymEwmzJgxAyeddBJOPPFE3HHHHTjmmGOwdOlSXH/99SgoKIDFYsHMmTPV57J169ZNRUq++OIL5ObmYty4cZg1a1a0PyKG3x8FxGDEjIAYDJjDkwAJtCkCL8+ZjQGFb6PMDaQ4JIJRgxhb+N/uS4dziULsKLcizurHCIlgOMPLh0Q+ZMUqkQ+p+RjSzoUOOuTDGwB2lVuwpsiuykP6p7iRlRh+qV2JfGjy4fGZVPqUNBrUIxF15UNWyBquUz4qPcBPecE6mi0YiFOvfoARkCj/VkWbgHi9XhXN+OWXX/DWW29h06ZNeOSRR9QsSlrWa6+9hkGDBqG4uFhJSHJycj0Byc7ORlVVFXr16oXPPvsMt956KySiIpvT6cSDDz6I2267DT6fD2PHjsWTTz6J8ePHR/lTYuztUUCM5QsKiMGAOTwJkECbIvDMzDnomvsOOsV5VBpUnC30alcSUZDUovXFe+XD5ldpUOE6nGvpWtvKrCr1ym4JYGCqR1f6lMjH7opg5EMyn/qmBDuOW3R0Kq+VD38wfUpWvNIjHyUuE5bkOFHtNanlefXKh0jLygK7Wr5YeqfssAzAsL01IG3qwWpjNxttAvLRRx/hww8/xEsvvYSKigolHevWrYPZbMakSZOQlpaG++67D+3ataud6boRkLrT7/F41P4SMdEEZOfOnUhPT1f/fc0112DkyJG4/PLL29hT07y3SwFpXp4HjNYUAVm2WlY0Ca7swq35CQzu2wUxDnvzD8wRWx2BQCCAr5etR25B8H8w3JqfQPt2iTh2dD/128bm3KZNn4vDy97CuA7VYWs3JJogK1ZJ+tT2chsSbX4MSHWH7VQu8iERE4mWiHzIalX9UzzoHKZTuSYte0Q+iuwqRatvsj75kDSvwhozfs5zQCIfPZL0yYccV+IyY3meQ62UpTftSgr4S90mrCm0o6DGgswYHw7LcOGDouG1q2A157xxrMgiEG0CcuaZZ+LTTz+t/ftGJEL++4QTTkBlZaWKWLz88suYOHEiHnvsMcTHx9eLgHzzzTcqrUqiILJJDYmIjCYg1dXVtWNPmTJFRVOuvvrqyJrUVnY1FBCDJ0yvgIh8PPDCf5GQGGfwFbXN4auranDaUf1x+V+OapsAeNf1CFRVu3D70+8jITmRZAwiUF5aisdvPAsxMc0r/bNmzsGF5vnonOAN2/1bXsxl6ducKisS7X4MTNUX+aj0mrClRKTFquSjn8hHfPj0Kamj+L3Mhs0lVhXtkMLxHjoiH5LmJedaX2SDxx/sVK4n7UrkY1eFBeuLbajymtEt3ouhOtKu5LicKouSqzK3Ge1jvSoqFGMFFuRTQAz6SkTUsNEkIFK3IWlRGzdurJWE9957D2+//TbefPPNWu4ulwvXXXcdUlJS8MQTT9QKyJAhQ9C7d28sXrxY1Y2IeLRv376egNTU7GuqSAFpnkeZAtI8HBsdpSkC8vSChUhOTTL4itrm8BXlVZhwWBYuPHVs2wTAuz5AQB6Y8wkyO+1bepWImpdAzu4cPHDNqc0uIC/Ono3LbPOR5PA1esESiSj3mLCuyIZdFVakOX0qgpEeG75wXFbJkhdzaRYoq2TplQ+JKGwqteK3QrtaJaspaVciH6vyg6Kmt+Bcoju7Ky1YXWBXvUy6J3gwuF34dC05Lm9vZ/RyjxkdY71qlay4vcsCsxN6834PInW0aBKQ6dOnIycnB48++mg92cjKylJpWNu2bcOwYcPUZ1Jcvnnz5toicylClyLzww8/HFu3bkVcXBwef/xx/N///R/Ky8vVMVIDQgFp/ieZAtL8TOuNSAExGLDO4SkgOkG1kd0kAkIBMXayjRKQhjqh170TkY8qL5RAyIt9kt2vSz5kDOkPsqXUio0lwbSrpsjHdik4l5oPE9Rxems+pFZECtVdXhOkS7mIS7iaD22JXimqL3ebkbW3ViTcMsRynKR5iZgVuSzoHOdFnxRPbU8SYUABMfZ7ESmjR5OAiFy8+uqrtZKhMZYajdGjR2PJkiX46quvEBMTgx49eqh9JcJRtwbklltuUcXrGRkZuPLKK9UqWqtWraKAGPjAUkAMhCtDU0AMBqxzeAqITlBtZDcKiPETfSgERCs4l27jO8ptSLLri3wIDYlgbCwR+bCrJocDUoIF5+EKx+U46fPxm6r5CGCAztWu5DiJYIgM1PjM6J3kRt8UfYXq0h9knciHx4yshKC0OCyhi/E1+ZA0L5GPTnFeJUpa5EN7Iiggxn83IuEMLSEgD732HTIzUnXdbl5+MW4//0h2QtdFKzp2ooAYPI8UEIMB6xyeAqITVBvZjQJi/ES3tIBohePyYr6jIhj5EBkIl3YlJKQmYmOxDRtLbXCYAxiUFr5ZoCYtEjFZX2JT64cMTgvf50M7TiIf60psqmO5FKr3TPLCFqaRouqMXmXGeiUfJhVlkaiJs0nyYUbnOJ+KfMTvTbuq+zRQQIz/bkTCGYwWkJyCMtw7+xPEOh26brdSotLXnISOGcm69udOrZ8ABcTgOaSAGAxY5/AUEJ2g2shuFBDjJ7qlBcTlg0qB2lkeLDgXiQi31K4mH1LELSlb0udjWHr4Ph+aRMjqWpKuJfIjRdx6CtUl8rGj3IJNpUH5UIXqIh/m8BGMfZEPWaLXq3qESOF4qIXGRFqKasyQBozFddKuGpIPuS8KiPHfjUg4g9ECEgn3yGuIbAIUEIPnhwJiMGCdw1NAdIJqI7tRQIyf6JYUEKnd+KXAjp0VQfkYkuZGWkzognNNPiQFakuZDVZTAIfp6HBeVz5EWmrlI8wSvdpxIh/S1NDtCy7Rm5Xkhd1A+SiuMan0MK3mQ9K1GpMPCojx34tIOQMFJFJmou1eBwXE4LmPRAHZvXYxNi7+AO6qcjjiEjHozxejXdcBKM3ZhoXz769HxO/zos8RZ6LvkWfV+/nGRe9D/jGZg521EjO64qiLHlR/XvzmQyjeval2/+6HTcCAYyep/y7Y/hvWfPE63NXlSGrfHcNOmQxHrPFLoVJADH7QW9nwLSkglWXF+P6DF7Bt7c+wWKzIGjgKx5/7d/XnOXf8FR5XdS29QMCPDt0H4K83PHEA0ZL8bHz73lzkbt8Ak8WC82+dhbjEYH6121WNT18NrgBzxuQH1L9zd27Ggmn/qDeOz+fFmBMnYezJFxo+Yy0lICIfK/P3yceIdBdSnAFVDB5qk7SruvIxKtOFdB3SIhEMiXxo8jEs3Y2OcfpqRQ6Qj0QvpHA8XARDVq0SiajwmNE90aOW6Q0X+RAxkuaEqwvtKK6xoHN8wzUf+zNiBMTwr0ZEnIACEhHT0KYvggJi8PRHooCIOHQedCRik9JRsGMtln8wExP+PqfBhmE/vH4vBv3pIqR07FWP1K//exVpXfqhY/8xBxD89sXbMXbSXQeIhbu6At+9fAfGnHsHEtp1xoYf3kFp7naMPvtmg2cBoIAYjrhVnaAlBST797UoztuF/qOOh9/vw4fP34+eg8dg2PjTDmD2w0cvwxETh9F/PrfeZ67qSrzx+BSMP+MK9Bwyrt53taw4Dx/OvQ8duw9AeUlBrYA0NCFvPnkDjjn7GnTI6mf4fLWEgIh8rNgrHwk2P0ZnupDsCIR8oZcb1+RDenZYTAF1nJ50rYbko4PIhym0RMhxO6Xmo9iuVtqS7uZdEvRFPqQzukhEhTsoH1K7Ea7mQ+SjzG3CinyHalIoBecD09yIDZOuJWzeyBnOTuiGfzsO/QkoIId+Dtr6FVBADH4CIlFA9r/lT6ddjj9dMwP2mPh6HxVnb1bRiqMuDkY26m4/fzATEtkQCdl/+98z1+HP1z1zgNDkblmJnb/+gJFnXK8Okd/2/nfG1Tj+6qdhcxrbgJECYvCD3sqGb0kB2R/N8q/fQ2lhDo4759p6H3ncLrzywKW48M7nEBNXPyq44pv3UVFagPFnXHkAaXdNFfJ3/w6f14MV337QqIDs2bYe37wzG5Numdkis2W0gMRYfLXyEWcN4IgONWE7o9eVDy3tqinyIQXnssKWFJxL5EOPfEgNxs5yi4pgSMNBkY+sBK9aajdU5EMkorAmKBGVeyMfsmpVuNWu5LgKD7As14lSkY94ryqODxcxETYiR09tHYVTr34AXTumtchzwpMcGgIUkEPDnWfdR4ACYvDTEOkCUl6wG8veeVJJwAEvSh/OQmavEeg88IgDPlv678dRUbQHfr8XMQlp6Df+HLTrNlDtJ0ITk5AKr6cGSZndMfD4CxCXnIE9G5YhZ9NyDJ94Te143750u/rvpMwsQ2eCAmIo3lY3+KEUkI9fmoqeQ8aqiEjd7ZeFHyN3xyZMmFQ/bUr2+eiFB5DeuSe2r18BV1UFuvYdhqNOvwJW274u4/LZyu8+bFRAPn75YRV56T/quBaZLyMF5HzTfGwqtaiaD5GP8Z2qdf12XyIfUnC+uTRY86HJh2RrhZIBbandtcV75aPdvlWywqVPyWpXEsHw+k3on+JG9yQvrGEiJlr6lEiEdGWXJoMD0zxhC9VlYqs8wKI9TpS6g5GP4enusNKiycfiHAe+LB+K86bcTwFpkW/JoTtJSwhIeeW+7uF67jQhzqlnN+4TJQQoIAZPZCQLiKSD/PjWI+g+8gR06DOqHonqskIsnHcfjr96OswW6wGUfB63qv8wmS0o3LEOP38wA0df+jBiEtPgcVXBao9BwO/D1uX/xc5fv8cxlz+G6vIiLHz9XhxxwX1KWuTnv3z+IsZf8hCSMrsZOhMUEEPxtrrBD5WAbF+3HAs/fhV/u0m+V/vWXA0EAnh16hWYeNndSO/U/QCe/3ri73DExOPkS+5Q//70tceQ0bknRk/Yl6oVSkDKi/Px5lM34PIHXle1Jy2xGSUgr8yZjcFF/0ahy1QrH3G28Hck8iErQW0ptcFmDqApNR/SZPDXQgdMCKjVrrroKDhXS+ZWmrE83wGfyEeqG72Swvf5UF3c3SYs3ONEtdekoiVD091hmxMKASls/3pXjDpe6lJEsMIt7avJx5IcB3KqLNgYGIQzr6WAhH+iWvceRgvI5h15uOfZT5EQH6MLVFlFFe6ffCL69eiga3/u1PoJUEAMnsNIFRBJf1rxn9mIS8lEv6POOYDC2m/+BYvVgb5H1S8+bwzXcomW9Byuakv23/476xolGRIV2bPxJ2xa/CGkuL3r0GOwZeknGH/pQ4YXolNADH7QW9nwh0JAcrZvwGevP46zpjyCxJSMesS2/rYMP33xb/z1xicbJPnmUzfiiIkXo2vf4erzXZt/xdLP/6XG0rZQAiJF8Fa7E+NaoPhcux6jBOSZWXPQZc87SI/xYmx7V9i0K3mhl9SnDXsjH7LUrhSqZ8aFXiVLjvPtTZ/6tdCuIiSDUsP3+ZDjtE7lkj4lY8hSu32S9cuHRDCqvCZ0S/CqVK9wndG1BozfZwflQ1LDDtchH3KcLF/8c54De6osSLb7kWvvj+EXPMQISCv7O62pl2u0gCxcsRnPf7gcXTqn67q0ndn5uPzk4WxEqItWdOxEATF4HiNRQOS3rb98FnwhkQLz/TevuwZfPXcjjr7sUTjj9TUF+vn9Geg0YBw69K0fSZGxP58xGcdd9dQBNSaVJXlY9vYTOPbKA1f8ae5poYA0N9HWPV5LC4jUaHzyysM47Yp7kdq+6wHw3pl1B4YeNRG9hx0o8LLzp689ih4DR6PfyGD6lJINqfe4el99VmMCIqtsvXjfxbjozudqV81qidkzSkCmTZ+LYcULML5TVdiCc+0FW1Ku5B+nxa/qITrokA+RFkmfWlNkh6RoSfpUVmLo1a40acmv2hv5CAC9k6RTeXj5EGkReVi8Vz66JgTTp8LJhxxX6THhx5xgwble+ZDjJF1rdaEDeyotSHH4MbZ9DT4sHo7BkyggLfEdOZTniDYBGTRoEI444gjMnTu3FmtJSQmGDRuGbdu2hUX9/vvv48wzz1T7yTtSr169sG7dOtjt+9Jcww4SYofCwkJ07NgRq1evRt++ff/IULqPPeecc3DjjTcqLpG4tToBeeutt/DQQw+hoKAAGRkZmDlzJo4++mjFVn520UUXYdmyZUhPT8eLL77YIPhQ+/3000+47LLLsGfPHgwdOhTz589Hhw7BkGCozxqb3EgUkF+/eE2+YRg84ZIGL3vr8v+pZXRHnHZd7ecSMZGVr/ocsQErnwAAIABJREFU+Rc445KRs3kFMnoMhdlsUStprfjoWZVm5fd6UFNRjOQOPdSXeMvSj5H3+y8YN+nueueqKS/G8o9modvQ4xqMmjT3l4UC0txEW/d4LSkgRTk78J+XpmLi5XcjrQH5KMjehvfn3I3LH3hNfZ+0TaIissLV0CMnYvuGlfjm7dk476anYbM78J8X/w9ZA0bWW0mrMQGRupA9W9ep9K2W3IwSkJkzn8P5pnnolugNW8Rd4TEp8dhRbkWMJdicsL0O+ajxAdvKgkvtygpX0jtDuo5bgquON7qJtMi5ZHlfecGXlCtZtSqcREiNiUQgVufbUe0zQa98SHRFluiVBoxS89EhVl/alVxboTQnLLSh0GVBqsOHkRkuSCrbgnwKSEt+Tw7VuaJRQMrLy/Hvf/8bhx9+uMKqV0Bkv+OPPx7Lly+vnY6vvvpK/ay5tlmzZuG9997DmDFj8Mgj+yLXzTV+Q+PIu3D//v2RkJBg5GkOeuxWJyBTp07FhRdeiG7duuG7777Dueeeq2TBZDKpn2dlZeGBBx5QsiCficHGxNTPQWxsPzHdPn364Nlnn8WJJ56o5ObLL7/ERx99BJ/P1+hnoehHmoBI4fjXc2+CyVT//6T9jzkPvcacqqRBPhf5qLv0rs/rVj8//K+3IzG9C5a9Ow3FuzaqfgSynK8Umsv+VaX5alnfqpJ8mK02pHTqjUF/uhDO+JSgxL0/HSXZW1T0pefhE9F1SFAejd4oIEYTbl3jt6SASORj/fJv660KZ7Xacf3T/1HQ/vvGNKRkdDpg6V1JySrI3oqTLr5d7bfsfwuw6rsPIb+O7zN8vFoRq24dSUMCIt/nVx68FCddfEeLLL1b9ykwSkBeeHYOLrPPQ7LD1+hDJ5EISWGStKutZcHmhANS9Uc+ZLWrtUV2OK0B1SxQj3zIS71Ii/QkkRqTnkleJS7h5EOOkwjET7l2+AL6067kuLxqM1bmOdS9dozzYmSGO2zNR3B1LbNq3CgRk/QYH4a1c9emsrEPSOv6u+xgrzYaBeTuu+/G448/rt7/LBbLAQLyyiuv4IknnkB1dTUyMzPx5ptvql8wn3zyyViyZAkGDhyIY445Bk8++SScTidqamowePBgvPTSSxg9erRCLZJywQUXqHfLTZs24YorrsDu3bvVu6eM36VLlwanZNSoUXj99ddxxhlnqGPNe3uoPfrooygqKsLmzZuRm5ur3sHk/PKuK0Ilm/zivVOnTurPn376Ke644w5UVVXh2GOPxTPPPAOHw6HeWW+++Wbceuut6rgtW7aon8m+ck9lZWW4/vrr1TutvM8+/fTTOO+889Q178+ke/fu+PHHH/Hwww+r+5H7lGu76aabcPHFFx/sI3fAca1OQPa/g+TkZGzduhVJSUlIS0tTD0JsbKzaTcJpl19+OSZOnFh7mN/vb3Q/iahIuGrx4sVqf9lXHs6NGzdiw4YNjX4m525sizQBabYnp5UNRAFpZRNm8OW2pIAYfCsRO7xRAvLqc7NxsXU+Eu0NC4iWdvV7mRWbS2yIsQbQP8WDjvE+Xc0JZclcSbuSRoZSu9FDR+RDKzjXaj5664x8yHHS52NVQbDJYLd4fQXncpx0OJfrLKqxKPmQ4nhnmPUFhE2p24R1RXbkVlmUfAxMdSOpTu8UCkjEfqWa9cKiUUDkl9IiBPJiLi/b+0dAJP1JXqhTUlJw++23o7KyUr3Ay8u/iMGaNWtqGWsCIi/hxcXF6iVdtn/+85/qHfOuu+5SWTIiPCeddBJefvllvP322/jss88OmKdff/0V//jHP9TLv2TpnH/++TjhhBPUfiIgL7zwAlatWqUiFVOmTFFRnLVr16Jdu3a1IvLYY49h586dKqtn4cKF6j4uueQSDBgwQN2LyIakeYlUSfqYbHUF5KqrrlJSNW3aNCUgLpcLiYmJKiWsISYiIOPGjVNiJhGlvLw8FU3Jzs5WwtMcW6sWELHI0047TdmZiMeRRx6pZETbxPxESsQItS3UfpKfJw+IGKG2SbhMQmciIY19JmZLAWmOx9G4MSggxrFtjSNTQIyftUMhIH9EPiQNSjqVK/mA/rQrkQGpFRGJkD9LzUeflGCfj1CbimBI+lSRHeVuM7ISPBjcTl/EpEjSp4pstfIhqWXh+nxoS/vKMsS51VZk7JWPRHv9xo0UEOO/G5FwhmgUEHlH83q9Ks1JoiCS/dJYDcgXX3yh3u0kwyWUgPz+++8qFUt7t+zdu7eKQoi8XHrppVi5cqWaTjlvXFwcKioqYLPVX5ZPIgfDhw9XWTpff/21Eg4RBU1A5L1UrkU2ERm5Nu1zOZf87J133sH06dOxfft2Fb2Q7dtvv8W9996L77//XsnGWWedhSuv3Ncrqq6AyC/KpRZG5KuxrS4TERD5Bf5vv/1Wu7sIyMcff4yePXs2yyPcagVEJnvChAnKcsVcRUJOP/10ZY3aJqlYEsWQf2tbqP06d+6sHqbZs2fX7i8mLRMsD2hjn8k+jW1e+b+ajm3Ris2496VvkJzaeDRFxzDcpRECIiB/ObIXJp/dcJEvwbUtApXVLtz85AfI6Fh/NapIpiAvkKF6TkTatedm5+LpW/6C2JjmKeLU7m/GUzNxXuC1AyIgwsfth4p6bC61IrYJkQ/5a1qW2pVaCol8SMM/PWlXctyuvYXqHp8JfVPcula70lbJkjQvJR+JHtWg0L6vBKjB6dRqN6TGpMhlQec4r1reN1yHc00+pIlibpXIh1dFhepGPrQTvl0wAkdd9Ti6d24XaY8Ur6cZCVjDFTT9wXO19CpYUoQuAtK+fXv1gi71D88995yKUmhF6PLiL3UYkuYkaU+S9SIv1KEERDBov4gWsZAXfJGbTz75RKX5y3ujtsmYElGQa9A2eVeV9KnS0tLan0n6lUQSJINHIiCSEqa9p7766qsq/UmuXbbPP/9c/fmDDz5Qv0x/7bXXkJqaqj6TSIb8eenSpUpAJBJS931UExD5JbnURUva1v5bY0zkGmQ8iSppmzAWEerX78AG1AfzuLRKARGpEJOUMJM2aTKZkqO3a9euWg5infIg3HbbbbU/C7WfPEhim1J4rm0jRoxQky8PaGOfabmBDU1AbrG+RjxLV/+Op978gQJyME+xjmNEQE4cmYWLThunY2/uEu0EJAJy3+yPkdkpM9pv9ZDdn0RAHrz2tGYXkJdnP4uLGkjBkh4YG0uCfT5irX7daVdak0HpVG42BTBAx2pX6n/+fmBnhUXVinj8JvRL0dfnQyQiu9KCjcU2lHuCkQ+pFQnX4VyTj/V75UOaDIooxdnqRzD2n/CG5EOOS66TdlX3GImADLvgYS7De8i+OS1z4swUY5v+HUoBkRdzeen+v//7P1x33XVKQEQY7rvvPkhxuUQDRDzk3U7+LfUS8gvshlKwZDZmzJihao1FQCSCIO+W8gvpq6++Wr38h9o+/PBDJT0iDtomvziXepPJkycrAZFak/vvv199HEpARKxycnIg6Vj7b3WjHdpndX8m6V2SwiXSo22hmIiASBaRRFkoIHsJiLlKLlt8fHxtGEo+kp9Lvpw8SBrgU045RdmqREi0LdR+Xbt2VWP//PPPancxV7FGGVMe4MY+02y0oYeQNSAt85dpuLMwBSscobb1OVOwjJ/vlkzBkiaDEhXYUmZDrMWPgTqW2tUkQgrO15cEO5zLEr1dE0IvtasdJ+la60vsqvmfRBOk6DzcL5U1+RCJUB3OE73oneyB0xI6ulVfPszoHOdTq2vF65CPYM2HDXkq7SooLY3Jh9wbU7CM/25EwhmiNQVLiz5IlEIKpiW6IOlTklovv70X4ZAXfikklzoI+W+p8ZC0oh07dqh3S9m0GhD5s7z0//nPf4bValX7S0RDJEd+QX3PPffg7LPPVu+gkqq//xK78v4poiIyoG3yci81IVJf0RQBkesbP368kikRGLkPESMpGg8nIMJC3pGlZkV+iS/3LOM0xoQC0sC39IYbblATLStU7b+JbMjKBg8++KAKkYnRSsqV5OVJYY/Yr3weaj8p6BHblQIhOYfYqxizTFhjn4X6y4QCEgl/1QIUkMiYh0i5CgqI8TPRUgJSt8N5jNWPITqW2tUkQlK1JGoiUQIp4u4cr18+NmjykepBVqIXNh01HxL5kBoM6dshxe09kzxhazdEPrSaj+K9aVd65aPMbVIRmtxqCzJ1yAcFxPjvRaScIdoFRDjLe58Ig/wCWWozpEZCJEEkRd4lJdtFPpdN0o3eeOMNtSLW888/X09A5PM//elP6pfSdSMC8stpibBI2pW8I/7lL3+pl8Kfn5+vUsBEHERe6m6SwSPnltQqvREQOV7SzCQVS8RDisHlvVZaR4QTEEkPu/baa1W9iGwSTZFf0jfGhAKy3zdVs0tZXq3uJqsUSJqVrHgglrdo0SIVBZFaDqkTkcmV5XVldQKxxsb2kzHlQZIx5IGRgpt58+Ypuwz3WWN/qVBAIuOvWwpIZMxDpFwFBcT4mWgJARH5WFNow+9lNsRYAhie7kJGbOgO53XlQ/p81MpHQvhVsrRCdU0+pG5DupVLwXmo+pz9Ix9SqC7SEq5wXFvtStLDtJoPSdfSE/mQHijSwT2vyoKMWJ9KLWuo5mP/J+GNHEnBYiNC478hh/YMLSEgz767FJ076qsl2r2nEJNPH8lO6If2sWjRs7fKGpAWJfQHT0YB+YMAm+lwCkgzgYySYSggxk+k0QISa/Up+dhaZoPdHMDoTBfSYpouH8PS3egY1/TIh8iHNAyUyEc4+dhTKatW2VW/jl5JwXStcDUfWu3G6kI7imss6Byvv+ajyguszHcgv9qiVruSVbL2X+2qoSfA4wNmbh+JE696kDUgxn9FDukZjBaQnIIy/N/znyHWqW8RisoqF+6+6kR0zNhXo3BIAfHkhhOggBiMmAJiMGCdw1NAdIJqI7tRQIyfaCMF5HzzfGwvN2PbXvkY074GKc6Arj4fUvOhRT5EPjqIfJhCS4RWcL6u2A55SW+KfORWmVUkotpr3isf4QvORT4kfUr6ikizQCk4l7qWcKtdyaxWe4Gfch0oqA72+ZB7DBcxkePkvlbk2/FJyTCcO+V+CojxX5FDegajBeSQ3hxP3ioIUEAMniYKiMGAdQ5PAdEJqo3sRgExfqKNEpBX5szGYaULVBdwiXyM3Ssf4ZYoFonYWGLF5tJgwble+ZA0KGlOKGlQHn9QPrJ0pl3lVwWbDGryIQXnstRuqGsV+ajwAMtynSgV+Yj3quL4cOlaMqNSEL94jxMFNWZkOH04LNOlS1o0+dhZYcU6/yD85VoKiPHfkEN7BgrIoeXPswMUEIOfAgqIwYB1Dk8B0QmqjexGATF+oo0SkNmz5qBLzjtIsvuaJB+bSqyQPhgmAMPaudFpb2f0cOlT0mRQ0qC8fhP6p7jRPckLa5iIiVq1qtqMn/MdqNmbdiW1G+HStWRWqjzAoj1OlLqDkY/h6e6w6VqafCzMDspHutOPMR1qwq6uVTfyIfIRZw0g39kPhxlQA5JfVI7lv22DJdxSYcY/mlF5Bp/Pj2MP7w+HvX6xc2M3SwGJysegVd0UBcTg6aKAGAxY5/AUEJ2g2shuFBDjJ9ooAZk2fS4GFP4bx3WuRKozdA8MuUuJfEja1dpiOywIYEg7N7roKDgXicipNGN5vgM+kY9UfX0+JIJRXGPCklwnXF6TWulqYFr4DueaRHy9KwblbpOqS5G6FluY5oR15SO/xoJ2Dh+O6lQTtqmhJh8r8+3YsVc+xneqxn+Kh2PwpOYvQn9vwX/h/OR9dLHra85r/BMaXWf4tcaG3rffglGDg4vmhNsoIOEI8XOjCVBADCZMATEYsM7hKSA6QbWR3Sggxk+0UQIyfcZzON80H1lJnpA1HyICNT6Tkg9pTmgxBdRSu+EKzuU4r0q7suK3QhvkdblPskdXh3NfANhTacEv+Xa4/LLUrgeDdMiHnLOwxoyfcx0o95hUXcrhOuRDyY7LjFX5dhX5SHP4dcmHVmMitSm5VRbE2/wY296FBHsAC/KNEZD/vPsl+ny2AD0dFBAjvn1Lqu1w/uM2CogRcDmmIQQoIIZg3TcoBcRgwDqHp4DoBNVGdqOAGD/RRgnIC8/OwWX2eUh2+Bq9CXnBdu3tjC59PmKtAQxMDR/5kONEIraXW9VLvdUcgCyZ2zclfJNBOXZ3pQVLcxxKjKTD+eB24SMfcpzIw+I9Drh9TZePn3LtKHOb0c7pxxEdw0c+5HzSnFDuTyImyXY/Rma4apsTGtWIkAJi7HeOAmIsX47e/AQoIM3PtN6IFBCDAescngKiE1Qb2Y0CYvxEGyUgrz43Gxdb5yPR3rCAaBGMXeUWrCmyq5oPqd3ISgy/1K6kXRVUm/FTngMeXzB9qn+qPomQtCmp3ZCldmV5XqndkP4goTa51koP8FPevsLxcR3Cp13JcbLa1aoCh4q4pDgkglGDGFv489X4oJYE3lFuVZEP6Z2SVieVjQJi/HfDiDNQQIygyjGNJEABMZIuAAqIwYB1Dk8B0QmqjexGATF+og+FgGjyIYXjkl4k7/9S/N09MXwEo5587E2fkhWv9EhEicuEJTlOVDdRPkRaVhbY1ZK50q9jTHt98iGd1KUHSnaVFakOn4pgxNnCr64l0rK+OCgfCXY/hrVzHbB8MQXE+O+GEWeggBhBlWMaSYACYiRdCojBdPUPTwHRz6ot7EkBMX6WW1pADpAPE9A3+SDkw2dCjySPWm43nHyItBTVmLA8zwnpPC5d0WV5Xz3HSZ+P1SIfNRZkxvhwWIYLzjALGMk9So3IuiIbsiutSHP61IpeUrsRbmlfaU4o6Wjby21ItPnV0r4NNW6kgBj/3TDiDBQQI6hyTCMJUECMpEsBMZiu/uEpIPpZtYU9KSDGz3JLC4jXH+zXIWlXUoMhheM9dEY+pFngckm78gc7letJu9IiJtLno8JjRrd4L4bqlA9ZJUuaGkqn8vaxXlUcH67Ph5IPtwnri/fJh0hEkkOPfJggyxAr+bD7VT1Mu0a6xlNAjP9uGHEGCogRVDmmkQQoIEbSpYAYTFf/8BQQ/azawp4UEONnuSUFRJba3aHJRxPTrvZUmvFLgQMun0kVnPfTGfnIqzIr2Sl3m3UXnAcjJmasLbKhqCYoH7JKVpwtvERIxET6mOzZG/kYkOpGSpPkw4okux/9UzxIj/U3uoJYtAjI19m7cf2PS7Dg2OMxMCWl3gP/ysYNmLd5E1w+P07p2hV3Dh3W4Beisf16v70AVvO+Ap9nxo7D8R07qTFCfWbkt44CYiRdjm0EAQqIEVTrjMkaEIMB6xyeAqITVBvZjQJi/ES3lICIfGwX+ZCaDxPQrwk1H1IrIhIh/TqkS7nUi+hJn5KIiRRyK/lIDKZrSYfzUJtqTlhjVulTRS4LOsR6VaQloYny0c7pQ78U9wG1G/ufWyImkna1SaVd6ZMPGSMaBOT59evxVfZuVPm8eHTk6HoC8sKG9ViSl4snR49BqsPR6JQ1tl+Jy4Wzv/4SX550ygHHhvrM6G8cBcRowhy/uQlQQJqb6H7jUUAMBqxzeAqITlBtZDcKiPET3RICIvKxtcyK31TaVQADdK52JcfJkrkiAzU+M3onuXUttSsSIfKxTuTDE4x8iLQ4LKELwDX5WL9XPqTDuQhPoo7aDZV2tTfy0RT5kIJziZjsKLeprvHhIh/aE/Gv3OEYen7zNyJsyWV4F+fm4rB27XDBd9/g/uGH1QqIz+/H+E8+xscTTkBKCPkItd/msjLcs/xnvHnscQd8iUJ9ZvQ3jgJiNGGO39wEKCDNTZQCYjDRgxueAnJw3KL1KAqI8TNrtIDEWX2qyaC8nCMAVVTdNSH8UrtKPiosWFdiQ43XpArVeyZ5w3YcV53Rq8xYr+TDpFbWEolwNkk+zOgc50OfFA/idUQ+5DwiLXuqrGiKfMhSuyJJ0uFc0q5EzEKlXWlPg9TRzNk5Esdd/iC6dkxr1oekJQVEu/CzvvoCD44YWSsg60tKcMuypRiXmYlv92QjwWbDHUOGYVR6er17DbXf6qJCnP/tN8hwxsAb8OPYDh1x25ChiLVaEeqzZoXZwGAUEKMJc/zmJkABaW6iFBCDiR7c8BSQg+MWrUdRQIyfWSMF5ALzfORVm9SqTpJqJEXcneP1yceuCouKDIh8qEJ1kQ9z+AjGvsiHdDj3qh4h4QrH69Z8FLss6Bzn1S0fstTubyIflVa0i5EIRvi0K5lVacAo6WjSyV0KzgelNV5wXvcpEPmQAvd38ofjnCn3R6WAiHRMXrQQ0w4fg5M6d8FvxcW4YuH3+ObkiUogtC3cfuUeSZ2zodTtxt3Lf0Kqw4kHRhymDg/1mZHfOgqIkXQ5thEEKCBGUK0zJlOwDAasc3gKiE5QbWQ3CojxE22UgLwyZzaOqHwLUjxeKx8JvkaLqrU71QrVN5Xui3xkJXlhN1A+ZLUrSQ+Tmg+RD0nX0hP5kPQpWaJXi3wMTHOrTuVS4xJq8/iAXwrs2FkRlI8hjSy1u/8YIh+SjralzIbV3kE469roFJCFOTmYsXYN3j7uT7UI/vbN17h18BCMaNeu9md695MDfi8vw6Xff4fvTjn1gKkJ9VlzfwMpIM1NlOMZTYACYjBhCojBgHUOTwHRCaqN7EYBMX6ijRKQOc/MQVbuO4ix+FTPjY5x+iIfskrWhhI73L5gf5CsRK8qHA/VP0MiGLLalUiELLXbPdGjlukNF/kQMZLmhKsL7SiusaBzvFcVx4db7UpmpcYLrMh3IKfKotKuRCLCLbUrx4l8rMzfJx8j0g9sMtjQrNeVD6spgBx7f4y9eGpURkC2V5Tjku+/UxEPbZM0LYleDEpJrf2Z3v3kgE2lpfj7ksX4/MSTDsAb6rPm/gZSQJqbKMczmgAFxGDCFBCDAescngKiE1Qb2Y0CYvxEGyUgT09/Dn0L3sa4DtXoIPJhCi0REvnYKTUfxXb1ki5pV911Rj4Kqs1KIircQfmQ2o1wNR8iH7JkrkhEicsMKTiXCEasNfR1ahKxNNeB3CqLajI4Ij18k0HtuBV75SPB5sfoTJeKmISSKzlOk4/fy2ywmALquC8rhmLopNZdhF5XLurWgMjPz/7qS5yVlYW/9eyF5QX5uOHHJfjqpFOQW12N1zZtxD3DR6jDG9tvU1mpWj2rY2wcqrxe3Lz0R/RLTsYNAwdhTXFRo58Z/Y2jgBhNmOM3NwEKSHMT3W88CojBgHUOTwHRCaqN7EYBMX6ijRSQcwJvoHeKO6x8SLRjR7lV1Yp4/FDL5Uq38nA1HyItEoH4rdCGSm9QPiSCEW61K5GPghozVufbUeo2o1O8VxXHh4uYyGyItKzMsyOvxoI0h0hEDeJs4aVFCtXXFNjVql5x1gCO6FATtjO6nE9qTKTAfWelFRL5EPmQ5oT/zh+OwVEsIBLduHnpUmyvqEBmTAymHjYSw9LSlIzctPRHfHvyRJhMJjS2n9SH3L9iBSq8HsRYrJjYtSv+MXAQ7BaLKmxv7DOjv3GRLiDbtm3DyJEjUVBQYDQKjt9KCFBADJ4oCojBgHUOTwHRCaqN7EYBMX6ijRKQ55+dg8ts85Ds8IX8Db9EO34vs6p+HVI7IUXcEvmwhomYSNpVdqUFP+fa4YcJ3RM8GJjmCSstQlQiJov2BDuqS+RjeLo7rLRo8rEw24kKjwkpDj+O7FADp46Iiey/LMeh+otIbcn4TtW6Ii1VHhOkg7vcp9OyTz6kxGRBFAmI8U955JzhUAjIiSeeiB9++AE2m60WxNSpUzFlyhTk5ORg/fr1OOaYY9Rnf1RAtm/fjgkTJmDDhg0hoV977bUYNWoULr30UrXfW2+9hfPOOy9yJopXUkuAAmLww0ABMRiwzuEpIDpBtZHdKCDGT7RRAvLqc7NxsXU+Eu2+Rm9CLZlbacbyfAd8fhP6p7rRK8kLy77m1Q0eKxEM6buxcI8T1V4TshK8GJruDtucUAaTaMvXu2LU8VKXIhEFW5jmhHKciNKSnGDNR5L9/9k7D/AoqrYNv+mhQ+hVEAVpgjRpolhBLCAWVJqgqIjgByLY6IJYKAKKomJBQEGkiPpTpAjSi4AgvYYuvSSk/ddz8m2+JWRLwr7Z2Z3nXJdXJDvzzpz7ndmce06ZFGlS6pLHlxo69sOcDyy1i54PyAd6TDwVDLvCm9h3nomQqNAUqV00Xgrn+N+b0YPhRYSeGATj5/4SkDZt2gj+S1+GDx8uZ8+elf79+/tEQBITE2Xx4sVy1113uU3fxo0bpVChQlKiRAlZt26d9OjRQxYtWhSMKQ/4OlFAlFNIAVEG7GV4CoiXoGyyGQVEP9H+EBAIhONlgZiDkZSSOuejQn7v5WPZ4Wi5mBhihmphkrunN6PjmFi1asmhVPnAvJRbvZAP7Iclc9cci5LDF8Mkf2Sy3F4yzqN8YL/LySKbTkSaN5znjkiW+sXiPQ67wn4YhrbtVKp8oOejdpF4KegkH+aJ8bHgGYKlf5Vb5whWEpCpU6dKt27dzFA2iECnTp2kWbNm0qBBA+nTp4+MHDlSEhISpFatWvLVV19J/vz5TQ9JixYtpHnz5rJ+/Xo5efKkFClSxHweExNzVQ/K4cOHpXv37rJ06VK5fPmyOV7fvn2lQ4cOZqjXnXfeaXo+9uzZIxUrVpQaNWpIwYIF5fz58zJ27Ni0xL3++uty5swZ+fjjj62TTJucCQVEOdEUEGXAXoangHgJyiabUUD0E53dAuKQj2OXQmXtsVT5uDEf3lSeefkokyd1+JQ38nE+QWTFkWgz4Twz8gFp2XAiSg5fCDPDruoXi5McHnowUEe8ZBDDyjC3BfIBifA04dwhLTtOO+QjWWoUuixFcv6v58NxRVBA9O8NjSNYSUBQv1deecWIhXMPyPXXXy9vvvmmDBw4UJKSkuSxxx6TatWqmX9DQMrkdMT5AAAgAElEQVSVK2fkAMOoUDp27CilSpVK+9x5Dknjxo2lUaNGMmDAALPt6dOnpXDhwmkCgmFgM2bMMLLj6AHZtWuXGZ4VGxsrOXLkkJSUFClbtqxMmzbN/J4lewlQQJR5U0CUAXsZngLiJSibbEYB0U90dgsIJo475AO9IBhyhVWrvJEILJm7/EjqsKvMyAcmjqMH4xTkI6d3w64gA5i7gQnuhy6GS0xUkpEITxPOHT0t/5xKlY88kZCIeImJdr/alaOnZdeZVPnIEZb6csJiua6WD/aA6N8XWkfwl4CknwOCxj56G1wJyIULF0zjH2X8+PEyd+5cQY8JBKR8+fISFxeXNqfkiy++kN9++y3tc4eAYD5I1apVTS+J8/wTxHT0gGQkIPgc80jatWtnho3hXLHd5s2btdLCuG4IUECULw8KiDJgL8NTQLwEZZPNKCD6ic5OAXHM+cCwK/x/+XypL/3zJB+pbyoPkbXHUieAezvsCvudicdE7ig5FYeej0SpXeSyxzkfjiV68V4Rx1K76InIE+lZIi4milnNa9+5CMkbkWxW10o/fCp9Vh3ygcn46P3IGZ4ilWMuS3EX8kEB0b8vtI7gLwFxNQckIwGpWbOmkQZHwfAq9FLgPwgIhmT9+++/Lj93CMiyZcuMaOzYseMqnJ4E5Mcff5TRo0cb+Xj22WelUqVK0rNnT620MC4FxH/XAAXEf+ydj0wBsUYerHIWFBD9TGSXgDjLR+qwK+96PrAfVq3CalB4yeB1ub2bcI798IbzzXjDeVyYlMiVKNULXTarVrkrkIEzl0Nkq5N8QCI8vWQQ+2FOyo7T4anyEZksVWIumyVz3b0Z3Vk+dp6OkBzhKVKpQIKUyO3+rfEcgqV/b2gcwWoC8p///Efy5cvndhJ6egFJv0yvq893795telkgM+HhV954zgIyc+ZMGTFixBWT0DGZ/brrrjO/a9iwoWzatEmKFi2qkRLG9ECAPSDKlwgFRBmwl+EpIF6CsslmFBD9RGeHgEAGYs+HGYnA/2POR4UCiV71fOAN55CIc5dDpWyeBKlWyNsek1CzipRDPjCcydN7PhxvRv/nVIQcvRQuRXIkyU0FLksBDy8LvFI+wiVfZLKRiMIZzN1wzmhW5QMxJh29Rao/HRwvItS/yq1zBKsJyNChQ2Xt2rVmfgVKRsvwZlVAEA8T2jGc6u233zaT3Q8dOmTmizgLyPLly+Xxxx+X7du3pw37wr5vvfWWrFq1SnLmzGl6X1j8Q4ACosydAqIM2MvwFBAvQdlkMwqIfqK1BSRXeJIcPB9mJCIhKUQqFrjs1WpXjlWyMJHbyEfeBPOCwkgPS+ZiP7xvYyvkIz5MSuVKNMv7enrDuUM+tp2OkKMXIR+JRiLyRqV47MHAsCsMncJqV5mRD6yShV6PnWfCzbArb3o+cEVgHs2nsbXk9mcGSZkSBX16kcz+cb5U+PV7KR+V7NO4DJZKwF8Cgp4E516IIUOGmBWpjh49ala1wvtAMKkcE8697eFw5NSdoBw8eFBefvllWblypZnQ/tJLL12xChbmdmCSOeZ7LFy4UOrXr2/mkqBgDgkmvP/000/y8MMP8xLyEwEKiDJ4CogyYC/DU0C8BGWTzSgg+onWFJA2oRPlzOXU1aDw0j/0Jnjzng+HfGAY1LmE1J4PzBXx9IZzh3zgzeGQD7xkEG9GzxXhee4GJrg7ywf282bVKqyShf32n4uQfJFJXvV8IKt4HwnmimDSec7w1B4TT8OuHPKx52y4TDxaUx57qT8FRP8W8ekR/CEgPq1ANgbDywyxihYkJv0k9mw8DdsfigKifAlQQJQBexmeAuIlKJtsRgHRT7SWgEz45GNpcmmyHLwQZhrbaGBj0rmnlww63nC+/VSEnEsIkXJ5E+XG/AkSHSZu36h+pXyESqlcSWZ1Lbx5PASvDndR/jfnI0KOmWFXqdLijXxgqV1IEl4yiJ6PygUuexx2hdPASwbRQ7PrbITkDEuWKgXdTzh3nDp6PnadCZd/TkfI+svV5FEKiP4N4uMjUEC8A4o5IE8++aSZQ4IlgVn8R4ACosyeAqIM2MvwFBAvQdlkMwqIfqK1BOTTMZ/I9cemSXhoklSKSZCyeRMlwsMbzh3ygTkYFxJC5Pq8iVI+X4LHuRupq2Slzvk49d9hV97KB5boRQ/N0UthUtRL+UBW8HLCzf9GyoFz4WbCOeaYeJpw7pAPnCd6PnKEJ8vNbpbadc4+5ANDtdBrAmk6FFFZbuMQLP0bxMdHoIB4BtqrVy+ZNGmSNGnSRCZMmMDeD8/IVLeggKjiFaGAKAP2MjwFxEtQNtmMAqKfaC0BGTVqnNx4fKrUKhJnls3FUrvueiLS5ONkhFxIzJx8YLUrLJnrmPOB4Vre9HxgSd9N/0bKsYthUiRnkunB8LTaFTKSkCTy14lIOXA+VT4gEZ6W2nXIx+Z/I2T3WbznI0VuKRyf4UsG02cdPSbo+cA8E8gHVvNaGnezVH+Kk9D17xDfHoEC4luejKZPgAKizJgCogzYy/AUEC9B2WQzCoh+orUEZMTIcfJQ0iSpHBNvej7cyUdCcuoqWWhgYynbG/IlmKFXnlatwnK+xy+FCuZ8nEbPR27v53zgpYRb/o2Q43FhZrUr9GDk9fCeD2TD8XLCg/+Vj5qF46VAtPuJ6tgPPTrbTqVOVI8MTZG6ReO9kha8dHGnWdo33MhHjcKXpUSuJJl64hapRgHRv0F8fAQKiI+BMpw6AQqIMmIKiDJgL8NTQLwEZZPNKCD6idYSkHFjPpGOEd9KTHSSR/nAG8MxJyIpJVU+MOzKmwnnRy+GyobjURKXFGImnGMuhafVrkAUw7VWH019rwjkA416Tz0m2A9zUlYfiZKT8aGSJyLZSISnuSIO+dhwPFKOXAyT6LAUqVcszitpgXzgTezoaQkPSTHnWTxXkoSFiHx/nAKif3f4/ggUEN8zZURdAhQQXb4cgqXM19vwFBBvSdljOwqIfp61BAST0NuHT5R8UUkuK4FhV3jPB95UjsY23g+CCedYatfTxHH0RKw8GiVn4kNNzwdeFuipxwQnggnxyw5Hm5cbFs2RJLWKxnslLRh2teZYlFlSGLLSsHicxzej43gYPoVhXli5Kio0Rer/Vz7c1Q/7Yc4HVtfCnI8wyEeh/8kH9uWLCPXvDY0jUEA0qDKmJgEKiCZd4RwQZbxeh6eAeI3KFhtSQPTTrCUgX41LFZC8kRkLiFm16lKorEEPxn+HXWHuhqfhWiByMSFVIs5cDjU9H7cUvuyxx8QhH0sPRcuJuFApHJ0s9YrHeVxdC/tBPtYdT53zkSs8RRqXvOSVtEA+MOdjz9kIM+wqM/KBN6pDQPAW9VqF46Xof19q6BAXCoj+vaFxBCsKyOHjZzJV1eKF82Vqe24c2AQoIMr54xAsZcBehqeAeAnKJptRQPQT7Q8BwVwGTBxffjRa4hNDzJCrKgU9v+HcIRG/H8wh5y6HmLkQGAYV4eHlhM7ygTkfhaKS5LaScR5fauiQj/XHU5fadchHrgjPeYF8YLWrnWciTM8Hhl3FRLtfEtjR84EJ51tORUqYpEjNIvFSPFfyVS9DpIB4zoEVt7CagGzZdVhGDRsmpfIlS4GoZLNYREYF9+yFxFDZeVKkS4/X5OaKpayIl+ekQIACogDVOSQFRBmwl+EpIF6CsslmFBD9RGe3gBj5iA+RFUeizdyN6/MmSFUv5AP74aV/Sw6lygfmQtzqhXxgP7yvY+WRaDl2KVQKRiV7JR/YD8O1MHwKE8BzRyRL/WLxHoddYT9MqseEc8gH5nzULuJ5wjn2w6R6DNXCssAYdoXVrkrmTsrwTewUEP17Q+MIVhOQpet2yrpxz8njN5w0L+zMqGA4YOyFMHNNbz+TS+q/+KncXqeCBh7GtCABCohyUiggyoC9DE8B8RKUTTajgOgnOjsFxFk+4pNCzBvOqxXy3POB/c4niJGW0/GhmZKPi4kia49FybFLYUY+Gpbw3PPhkB285yP2Qqp8QCI8TTg30pIsZjWvVPlINnM3ivx3+JSrbGI/9JhAdNBrgqfQVWIuS+k8GcsH4lBA9O8NjSNYUUCOTewo95Q+nWF1MVQS857wbp6osBQ5nxAtxdt8kWUBqVq1qkyZMkXw01FmzJghX331leDnunXrpG/fvvLzzz9r4HcZMyUlRW644QbZunWrREZGZuuxrX6woBKQEydOSLt27WTVqlVSuHBh+fzzz6Vhw4ZX5cDddqtXr5aOHTvK4cOHpXr16jJx4kQpXry4ieHuM1eJpoBY4xaggFgjD1Y5CwqIfiayS0DQkDkdFyIrMOwqk/KBlwViAjiWzi2e07thV6nSEmLe14H3fBSKTpI6xeLNRHV3BftBWtAL4Vhqt0aheI/Dp7AfXk6IFwxCPnKEpb6csFgGw6ecj+/oMcFKYJAPzIGpVCBVPty9NZ4Con9vaBzBigJybsoz0qh4xvNA9p1NlQ/05FUumCA7z+aWqFZfqgnIxYsXZePGjVKvXj0N/G5jLliwQO66665sP67VDxhUAtK2bVspW7asDBgwwMjCE088YawzR44cV+TB1Xaw0woVKsjYsWOladOm8tFHH8n8+fNl1qxZkpSU5PIzd0mmgFjjFqCAWCMPVjkLCoh+JrJDQNDIPh0fIsuPRJvVrsrkSZ047mq8uaPW2A/DrdafiJQTl1Lf11GvmOc5H2a8ekKImQB+6GK4xEQlmR4MzN3wtLoWhnn9cypSIAR5IpPN6lqe3nDu6PnYezbcDFOJDEuRKjEJLodPOdcvMSX1HSgY6oXh95iIj3eguJMP7D/p2C18EaH+7eHzIwSSgEA+IMU5wlPMMEncB8uP5lUVkBUrVkifPn1k0aJFkpiYKF26dDH/Hx8fLzVq1JCZM2cKthk6dKjky5dPYmNj5ezZszJ48GC57777TL7w9vT3339fLl26JEWLFpXJkydLuXLlzH5DhgyR0qVLy44dO+To0aPSo0cPad++vdkvOjpa4uLizP9v27ZNXnzxRdM2xe/nzp0rN954o8+vh0AIGDQCkpycLAULFjQXTc6cOQ37li1bSqdOneSBBx5Iy4W77YoUKSKvvPKK/Pnnn2Z7bIvej+3bt5uLxtVnuFhdFQqINW4DCog18mCVs6CA6GdCW0ByRyTJybgQWXss2vRI4K3oeJ+FN/Jx5nKIbIR8xIWlLplbJF6ivejBwPs68F6RQxfCpWB0khkGlcfDSwYdPR9Y9nbfuQjJG5EqH57ecJ5ePjBMpVKBBCnlZvgUsmqGXTnLR4hIxfzeyQd6kyYcqin12g+WMiUK+vQimf3jfKnw6/dSPirZp3EZLJVAoAjInjOQj0jJGZEsNxe6LAWjU+eHZKeAzJ49W7755huZOnWqOfaePXvSRAKjZtasWSO33HKL+X2DBg2MLOTPn9/0oEAyChQoIL1795YLFy7ImDFjjIBgu+XLl8utt94qx44dk0qVKsmhQ4ckKioqTUDwILtatWrmIfljjz0m//77r4kVGupihn6QX9xBIyAQj0aNGpkLxlFgu5CSXr16pf3O3XYlSpQwPR6wXEdBd93o0aONhLj6rE6dOhQQi98oFBCLJyibT48Cog9cU0Dahk2Uy0kpsuFE6kv/rsudKNW9kA80sM/Eh8jfJyPl+KUwKZYz0UzI9vSeD0ePCYaMOOQDEpEvyv3qU6nyESJY+tbIR2SymYOR2Z4PyMdNkI/c7odPIauY83HgXJhsPhlpJplXyJ8g13vR8wE2eAHj+Nja0qpLfwqI/i3i0yMEgoDsPhMmW09FSk7MYSp82bw001F8ISD79++/ojGfkJAg99xzj5kD4twDsnnzZnn44Yfls88+u2JoFLZ57rnnZNOmTWnnhQfZGNqPn85l3rx5pm2IETLYDw+7//7777RNICCYb1K+fPk0AVm/fr106NBB/vrrL5/mPlCDBY2AoNsLF9SWLVvScgHLRC8GfjqKu+1KlSoluEA+/vjjtO2bNGliJi7t3LnT5WfY5lrLir/2yAvDpkuuXKm9Nyy+JRAXFy8dm9eUl1o39mng5OQUWbFxj1y4mNq9yuJ7AjeWLSZlS8T4NPDFuMvybL/vJCQy2qdxGex/BFIS4uWL/k9JjmjfTrwc8s4IiTk4S45eCpOLCaFSNGeilMvruWGOBjaGXWH+BV4yWCA6ScrmSTQ9H56GT2HuBvY7GRdmJKJMngTJ7cWwK8zdwDAoTFTHUrul8yQaaYEYuCpm1apkkSMXQ80xI0JTTK8H3i/i6UFpcrKYFbn2ngs3w67wIsVimKju4QEr2KA3afeZCIkNvV4GvDtUyhT37T038Zvf5NjkKVIsnD0gGt8T2y9HSLP335Jbby6nET7TMbEKlvMcEId85ApPlppFLkveyCtXxvKFgLibhO4sIKjMsmXLZNCgQaaXAsOqMMwK27z66quydOnStPp27txZatasKS+88IKMHz9epk+fLphYfvLkScGoGUgG9kOPyOLFi9P2w2T4adOmyU033ZQmIHPmzDFD/H/55ZdM8wzGHYJGQHAR1a1bVw4ePJiWJ4zBK1asmLz22mtpv3O3HQQEFwYmnjsKLrxx48YZAXH1GY7ri7Jq0x7Tfc6iQ+DmCqUkR7QXC+1n4vC7DxyXlz+YIRFRbMhmApvXmyYkJMp1hXLIx2+29nofbzfcG3tCjv57ztvNuV0mCRQrlFeu8/EwHpzC8VPnBfcdiw6BvLmjpdL1qQuv+LJA+jdtj/VlSMZyIhAaGiJ1qpa1DBNnAfEkHzjp7BYQB6i1a9fK/fffb4ZZYaTL008/Lbt27UrjCDGBfGCOcL9+/QQTyjHsHuKBtqFDQBzzSxw7ZiQgGNr17LPPyoYNGyyTJ3+eSNAICIy0UKFC5sLBWD2U5s2bm+60Fi1apDF2t12ZMmUEtouLBAUTlbCaFmLu3bvX5WcxMa6fFHk7B8SfFwGPnXUC+2JPyIffLZS8BVKvORbfErickCC5Q5Ol7wv/m8fl2yMwGgmQAAnYj0CJglcuzuNrAg4BKZHzvBl25ej5yBOR8bDF7BSQAwcOmLnCGKJ//vx5My8DCxfhQXP9+vXNkC2MqFm5cqWRE7QBf/rpJ9OjAeHAhPI2bdqYCeyZERC0KdEj8sEHH5h2KSa5Y/5H7ty5fY0/IOIFjYCANmQDKxMMHDjQXEy4gDDkKleuXNK1a1djr/jc3XaVK1eWUaNGme44rIKFlRFgvBjK5eozd5mmgATEfZDlk6SAZBmdVztSQLzCxI1IgARIIFMEskNAtn/RSXKGx3mUD5z4goP5pEBrvfeAOA/BwkJDeN0C5oigZwOjZdAuxDavv/664GE0tgkPD5eRI0ea9iBEpVWrVqaXBCNrunfvbkbLZEZAUE9MZMcKXJAdtE1//fVXs8KqHUtQCcjp06fNsmcY24deEMzluPfee42tIsFIdJUqVcTVdo6LAzEwmQmTiL799luzOoKnz1xdPBSQ4L6tKCC6+aWA6PJldBIgAXsSyA4B+en9rnJzzFm5uTDmTLkeX45V7Kbvyi93dxub5feA+CKLDgFZuHChL8IxhgcCQSUgVsw2BcSKWfHdOVFAfMcyo0gUEF2+jE4CJGBPAtoCcvLMBfn08++lQK4Ql0tjY84rliS4lBAi5+IS5MVOT0qhAv4bjpR+oro9r4zsqzUFRJk1BUQZsJ/DU0B0E0AB0eXL6CRAAvYkoC0ggUiVApK9WaOAKPOmgCgD9nN4CohuAiggunwZnQRIwJ4EKCD2zLuVak0BUc4GBUQZsJ/DU0B0E0AB0eXL6CRAAvYkQAGxZ96tVGsKiHI2KCDKgP0cngKimwAKiC5fRicBErAnAQqIPfNupVpTQJSzQQFRBuzn8BQQ3QRQQHT5MjoJkIA9CVBA7Jl3K9WaAqKcDQqIMmA/h6eA6CaAAqLLl9FJgATsSYACYs+8W6nWFBDlbFBAlAH7OTwFRDcBFBBdvoxOAiRgTwIUEHvm3Uq1poAoZ4MCogzYz+EpILoJoIDo8mV0EiABexKggNgz71aqNQVEORsUEGXAfg5PAdFNAAVEly+jkwAJ2JMABcSeebdSrSkgytmggCgD9nN4CohuAiggunwZnQRIwJ4EKCD2zLuVak0BUc4GBUQZsJ/DU0B0E0AB0eXL6CRAAvYkQAGxZ96tVGsKiHI2KCDKgP0cngKimwAKiC5fRicBErAnAQqIPfNupVpTQJSzQQFRBuzn8BQQ3QRQQHT5MjoJkIA9CVBA7Jl3K9XarYAkJyfLhg0bZM+ePRIWFiYVKlSQypUrW+n8LX8uFBDLp+iaTpACck34PO5MAfGIiBuQAAmQQKYJUEAyjYw7+JiASwFZtGiRPPfcc7Jz507Jly+fREZGyvHjx+Xmm2+WL7/8UmrVquXjUwnOcBSQ4Myro1YUEN38UkB0+TI6CZCAPQlQQOyZdyvVOkMB2bRpk9x6663SsWNHeeONN6REiRLmnGNjY2XQoEEyZcoUWb9+vZQrV85KdbHkuVBALJkWn50UBcRnKDMMRAHR5cvoJEAC9iRAAbFn3q1U6wwF5MknnzRDriZOnJjhuT7++ONSoEAB+fTTT61UF0ueCwXEkmnx2UlRQHyGkgKii5LRSYAESCCNAAWEF4O/CWQoIMWLF5dp06ZJw4YNMzy/xYsXyzPPPCO7d+/29/lb/vgUEMun6JpOkAJyTfg87sweEI+IuAEJkAAJZJoABSTTyLiDjwlkKCDo/Th8+LAUKVIkw8NhLkipUqUkPj7ex6cTfOEoIMGXU+caUUB080sB0eXL6CRAAvYkQAGxZ96tVOsMBSQkJETOnTsnuXPnzvBcz58/L3ny5JGUlBQr1cWS50IBsWRafHZSFBCfocwwEAVEly+jkwAJ2JOALwRkwYIF8vrrr8u2bdskIiJCqlevLt9++23avGF7kmWtvSXgUkB69OhhLqiMSkJCggwfPpwC4gVlCogXkAJ4EwqIbvIoILp8GZ0ESMCeBK5VQM6cOSMlS5aUH374QZo1ayaXLl2SP//8U+68804JDQ21J1TWOlMEMhSQDh06eBXkq6++8mo7O29EAQnu7FNAdPNLAdHly+gkQAL2JHCtArJ9+3bzOoazZ88KRs2kL4mJifLWW2/JjBkzJCkpSVq2bClDhgwxcnLHHXdI69atpUuXLma3Z5991oy4GTlypD2TYdNa803oyomngCgD9nN4CohuAiggunwZnQRIwJ4ErlVA8KLq2267TW688UbzeobSpUtfAXLw4MGyYsUK+fHHH42gNG/eXB588EHp1q2b7Nu3Txo0aCBY0GjHjh3y2muvyerVqyU6OtqeybBprSkgyomngCgD9nN4CohuAiggunwZnQRIwJ4ErlVAQA3DrkaMGCHjx4+XSpUqydtvvy3169c3QMuXLy/fffed1KtXz/z7+++/l08++UTwkmsUfDZmzBg5evSo6SXBS65Z7EUgQwFp1KiRVxSWLl3q1XZ23ogCEtzZp4Do5pcCosuX0UmABOxJwBcC4iCH3pCffvrJDKWaO3eu1KlTRyIjI+W6664z75RDwdzhQoUKycqVK82/sc/1118vNWvWlOnTp9szCTavtctJ6LBZvJAQk4xwoWRUcLGxuCdAAQnuK4QCoptfCoguX0YnARKwJwFfCoiD4FNPPWVWwurdu7eRC0gJ/p1RGTp0qJGRnTt3ml6Ue+65x56JsHGtMxSQrVu3yhdffGHehA4R6dSpk7Rq1Upy5MhhY1RZqzoFJGvcAmUvCohupiggunwZnQRIwJ4ErlVAMI8DK2FVrlxZwsPD5e+//5b7779fsDhRkyZNzLwQCAaW5S1QoIBcuHBBjh07JuXKlZM1a9aYNuXatWtl//79ZoL6unXrpGDBgvZMhk1r7XYOCLrMZs+ebWQEF9Ljjz9uZAQrH7B4R4AC4h2nQN2KAqKbOQqILl9GJwESsCeBaxUQSARGwezdu9esbIVJ6D179pR27doZoGg/opfjm2++Ebw7LmfOnNK/f38jHmhD4lUOEBYUTFiHjKDHhMU+BLyehB4bG2vMdsKECWa5NIjIyy+/bB9SWawpBSSL4AJkNwqIbqIoILp8GZ0ESMCeBK5VQOxJjbX2JQGvBQQHhel++eWX8sEHH5jJROg6Y3FPgAIS3FcIBUQ3vxQQXb6MTgIkYE8CFBB75t1KtfYoIHFxcWaFAgzDWr58uVnHuWPHjmbCEN926TmVFBDPjAJ5CwqIbvYoILp8GZ0ESMCeBCgg9sy7lWrtUkAwHg+9HZMmTZKyZcsa6Xj66aclJibGSudv+XOhgFg+Rdd0ghSQa8LncWcKiEdE3IAESIAEMk2AApJpZNzBxwQyFBAsm3bw4EHBkmqY61GjRg0fH9Y+4SggwZ1rCohufikgunwZnQRIwJ4EKCD2zLuVau3yPSBFihQxqxjgv5SUlAzPGSsbsLgnQAEJ7iuEAqKbXwqILl9GJwESsCcBCog9826lWmcoIJhs7k3B0CwWCoidrwEKiG72KSC6fBmdBEjAngQoIPbMu5Vq7XESupVONhDPhT0ggZg178+ZAuI9q6xsSQHJCjXuQwIkQALuCWSHgOzYd8zlCJqMzq5C2aJMm40IZCggf/75p1lmt0KFCmko8AbLfv36yYEDB8xKWM8//7yNMGW9qhSQrLMLhD0pILpZooDo8mV0EiABexLQFpAN/xyQH/t/JGVyhHgF+MDFJHnw7ZelTlWOrPEKWBBslKGA3HHHHdKmTRvzlktHue222yRfvnzSqFEj+fjjj+WNN96QF154IQgQ6FaBAqLL19/RKSC6GaCA6PJldBIgAXsS0BaQpet2yqF+A6VerkSvAK++GCaF3n5bbq/zvwffXu3o541WrFghffr0kUWLFvn5TALv8BkKSMGCBWXx4sVStWpVUyOAxVvP//rrL/Puj99++0fVuJoAACAASURBVE1ee+012bhxY+DVOJvPmAKSzcCz+XAUEF3gFBBdvoxOAiRgTwLBJiBor+Ll2I730+XOndus5qpdKCBZJ5yhgOTKlUv+/vtv8/4PlNatW0uTJk3Shl0dOXJEypcvLxcuXMj6kbO455QpU+Sdd96REydOCFbq+uijj+T222830fC7du3ayapVq6Rw4cLy+eefS8OGDa86krvtVq9ebd55cvjwYcFyxBMnTpTixYubGO4+c1UdCkgWEx0gu1FAdBNFAdHly+gkQAL2JBCMAoL2oePBeXZllQKSddIZCkjt2rXN+z9efPFF2bBhg9x9992ClbFglCi7du2SmjVrypkzZ7J+5CzuOXjwYGnbtq1cd911ppfmiSeeMLIQEhJifg9pGjBggJEFfLZ161bJkSPHFUdztV1kZKSZ9zJ27Fhp2rSpkZv58+fLrFmzJCkpyeVn7qpCAcliogNkNwqIbqIoILp8GZ0ESMCeBOwiIHhdRJcuXWT58uWSM2fOKx5aox350ksvycKFC2XPnj2mzRsfHy+//PKLnDx50jyMfuWVV8wFMmHCBHn//ffl0qVLUrRoUZk8ebKUK1dO0gsI9sWQrIsXL5oH92PGjJGoqCh7XmQeap2hgMyePVsef/xxAxfi8cknn0j79u3TQv38889mDogVhmDlz5/fXDiYn4KhY7GxseYiQ2nZsqURqQceeCDt3JOTk11uhx4VXGyYhI+CbdH7sX37dtm2bZvLz3BsV4UCEtz3HQVEN78UEF2+jE4CJGBPAnYREMhH3rx55d133zUPpO+55x75559/zAP16OhoGT58uBEUPMiGkLz55ptmwaVz586ZkT47d+40+6O9W7p0aSlQoID07t3bjACCXDgLCBZpwqibpUuXmm07dOgglStXNtuzXE3A5TK8aHSvW7fOvAX9pptuumLPuXPnGvho4Puz4GJ66KGHZMeOHUY8MEEeMuIosFBISa9evdJ+5267EiVKmB4PmK6j1KtXT0aPHm0kxNVnderUoYD480Lw47EpILrwKSC6fBmdBEjAngSCUUCc54Bg5M60adOMMOzevdv8RMEiS3379pU777zTCAjahGgnopQpU0bmzZsnFStWNP+uW7eufPnll1cN68I2aBdidIyzgIwcOVL27dsnI0aMMPtj/jSOtWTJEnteZB5qbbn3gKB7q379+ledNuahQCgcJTExUe69917p1q2btGjRwkjIww8/LFu2bEnbBkOx0IuBn47ibrtSpUrJ+vXrzSpfjoIuNFxAsGBXn2EbV+Xfs/G88IKYwN7YE/Lu179L3vyue8GCuPrqVYOA5A1PloEvPaR+LKsfICVFJMS7FS2tXhWeHwmQgJ8JFMyrOywou1fBwtyP9HNA8KA8T548V7xSAj0bGF7fqlUrIyBoc2IIPwqG8EMoihUrZv6NB9Djxo0zD+LHjx8v06dPN+81wfAsjJjBaCBnAcHD7q+//lpiYmLM/hi6j/9fuXKln7NtzcNbTkC8wQSpwDyOG264IU0uDh06ZGzVedWDHj16mAsJK3Y5irvtICAYv4eJ546CuS64ACEgrj7DcV2V+IRkb6rEbQKUwJ4Dx6X/5/Mkt5theAFaNUucNgQkJjJFhv3Hv72tVoCRlJIiYTQQK6SC50ACAU8gKiJUtQ5WEBBUED0faBdicaX0BQISFxeX9mtXAoJeEgzLWrBggRnuD/FAuzC9gKDnA4s0DRs2TJVtsAQPOAGBfXbu3NmM33N0cyEZ+D1enogJ8pgXgtK8eXN57rnnTA+Jo7jbDt1viL1mzRqzOXpZsJoWYmIujKvPHLab0UXBOSDBcqtkXA8OwdLNL4dg6fJldBIgAXsSCMYhWBmtgoX5HRANSEFERIRpz2F+BhYd8lZAMPoFw7kgHBAWvCcPk9XTCwiGgDVu3FjmzJkjVapUMdtibgnmU7NcTSDgBKR79+5GNtCFlr5ANrA6wcCBA80qWBiShSFXMN+uXbsag8Xn7rbDhKFRo0bJfffdZ44xc+ZMY73odXH1mbsLiwIS3LcdBUQ3vxQQXb6MTgIkYE8CdhEQrIL16quvmhEskAasdIp32aFd6K2AYLQNhmxhLjBG1aAdipEy6QUEVxLmCmMoFsQDq1+h3YnVtFgCXECQfEwOCgsLu6ImQ4YMMcOsTp8+bVbrWrZsmekFwVwOzBOBheKi+/XXX42VutoOQbHSAWLAZCtVqiTffvttmr26+8zVxUUBCe7bjgKim18KiC5fRicBErAngewQkHVvDpbqObx7E/qmS2FSbeCbAfcmdHtePb6pdcD1gPim2tkXhQKSfaz9cSQKiC51CoguX0YnARKwJwFtAblwKV6mTp4vURFXPjB2RTsuIVEefeJuyZMr2p4JsWGtKSDKSaeAKAP2c3gKiG4CKCC6fBmdBEjAngS0BcSeVFnrzBCggGSGVha2pYBkAVoA7UIB0U0WBUSXL6OTAAnYkwAFxJ55t1KtKSDK2aCAKAP2c3gKiG4CKCC6fBmdBEjAngQoIPbMu5VqTQFRzgYFRBmwn8NTQHQTQAHR5cvoJEAC9iRAAbFn3q1UawqIcjYoIMqA/RyeAqKbAAqILl9GJwESsCcBCog9826lWlNAlLNBAVEG7OfwFBDdBFBAdPkyOgmQgD0JUEDsmXcr1ZoCopwNCogyYD+Hp4DoJoACosuX0UmABOxJgAJiz7xbqdYUEOVsUECUAfs5PAVENwEUEF2+jE4CJGBPAhQQe+bdSrWmgChngwKiDNjP4SkgugmggOjyZXQSIAF7EqCA2DPvVqo1BUQ5GxQQZcB+Dk8B0U0ABUSXL6OTAAnYkwAFxJ55t1KtKSDK2aCAKAP2c3gKiG4CKCC6fBmdBEjAngQoIPbMu5VqTQFRzgYFRBmwn8NTQHQTQAHR5cvoJEAC9iRAAbFn3q1UawqIcjYoIMqA/RyeAqKbAAqILl9GJwESsCcBCog9826lWlNAlLNBAVEG7OfwFBDdBFBAdPkyOgmQgD0JUEDsmXcr1ZoCopwNCogyYD+Hp4DoJoACosuX0UmABOxJgAJiz7xbqdYUEOVsUECUAfs5PAVENwEUEF2+jE4CJGBPAhQQe+bdSrWmgChngwKiDNjP4SkgugmggOjyZXQSIAF7EqCA2DPvVqo1BUQ5GxQQZcB+Dk8B0U0ABUSXL6OTAAnYkwAFxJ55t1KtKSDK2aCAKAP2c3gKiG4CKCC6fBmdBEjAngS0BaRDhw5Su3Zt6dq1qzrgsmXLys8//yxVq1bN9LH27t1rzvPEiRMZ7rtmzRpp06aN/PPPP5mOzR3cE6CAKF8hFBBlwH4OTwHRTQAFRJcvo5MACdiTwLUKSJUqVSQ2NtbAO3PmjOTJk0dCQ0PNv3fv3i09evSggNjz0vK61hQQr1FlbUMKSNa4BcpeFBDdTFFAdPkyOgmQgD0JXKuAOFPLnTu3bN68WdAT4SjsAbHndZWZWlNAMkMrC9tSQLIALYB2oYDoJosCosuX0UmABOxJIDsEpEyZMvLHH3/Irl27JCoqSgYNGiStW7c2wCEo999/v0yaNEkWLlwokydPNv/+7rvvZOjQoRIXFyfVqlWTzz77TAoXLiwnT56UZ599Vv7++2/zWalSpeS3334zPS8QnzfffFNGjhwp586dk2LFipn9atSoYY515MgR6d69u6xevVpCQkKkefPmMmzYMMmRI4ekH4K1c+dO6dy5s+zZs0eKFCkibdu2lTFjxnAIlsJtQgFRgOockgKiDNjP4SkgugmggOjyZXQSIAF7EsgOAYFYLFq0SMqVK2ca/02aNJGjR49Krly5jID8/vvvMn78eLn33ntNEpYtW2bmW+BnyZIlpW/fvqZnZfr06dK/f38z1GvEiBFmW4jCDTfcYP4fAlKpUiWZOnWqoDfmww8/lJkzZ8qSJUvM53fccYc5xuuvvy4JCQnSqVMnyZs3r4wdO/YqAalZs6Y89dRT8uqrr8qFCxfkgQcekMOHD1NAFG4TCogCVAqIMlQLhaeA6CaDAqLLl9FJgATsSSA7BKR48eKmN8NRIBVz584VzB+BgEAW0LvgKBCDG2+8Ufr06WN+BVlBT8elS5dk1qxZ8tZbb8knn3wit99++xVJg4B8+umnct9995nf79ixQxo0aCDHjx83gnHzzTfLqVOnJCwszHx+4MABqVChghGM/fv3p01CR0/NLbfcYnpbwsPDzbaQnzfeeIMConCbUEAUoFJAlKFaKDwFRDcZFBBdvoxOAiRgTwLZISDoTejWrVsaYIjCjBkzzNAoCEitWrXk5ZdfTvscvRQYYoVhVY6C1anQC4JhVRhyhR4QCARkBD0VKIgLQYFooEA6cIzTp0/L0qVL5ZlnnjFS4igpKSlGMNCzcfHixTQBwbYdO3aU7du3p227YsUKc65cBcv39wkFxPdMr4jIIVjKgP0cngKimwAKiC5fRicBErAngewQkPTL8KYXkPSfo/FfvXp1M1/DXYGQNGvWzAy5qlevnhEQ52V4nQUEvRqQEfRqREREmLDo9ahYseJVPSAY1oVzwraOFb3mzJkjPXv2pIAo3CYUEAWoziEpIMqA/RyeAqKbAAqILl9GJwESsCcBKwoIJqyjt+GXX34xgpCUlGR6IzC/Az0QmNSeM2dOMwkdQ6yGDx9u5ne4ExBkt3HjxnLnnXdKv3790uaAIA6GbTlPQkfPCIZgoccEEoTekUcffdQsK8weEN/fJxQQ3zNlD4gyUyuFp4DoZoMCosuX0UmABOxJwIoCgkygV2Pw4MFy7Ngxs2LV448/bla3+vrrr2XgwIEmWRg+9fTTT5tJ6iieBARzSbp06SLLly83K1+h9wSrYGEyfPpVsCA8zz//vFm5q2DBgmaI2HvvvUcBUbhNKCAKUNkDogzVQuEpILrJoIDo8mV0EiABexLwpYDYkyBrfa0EKCDXStDD/hyCpQzYz+EpILoJoIDo8mV0EiABexKggNgz71aqNQVEORsUEGXAfg5PAdFNAAVEly+jkwAJ2JMABcSeebdSrSkgytmggCgD9nN4CohuAiggunwZnQRIwJ4EKCD2zLuVak0BUc4GBUQZsJ/DU0B0E0AB0eXL6CRAAvYkQAGxZ96tVGsKiHI2KCDKgP0cngKimwAKiC5fRicBErAnAQqIPfNupVpTQJSzQQFRBuzn8BQQ3QRQQHT5MjoJkIA9CVBA7Jl3K9WaAqKcDQqIMmA/h6eA6CaAAqLLl9FJgATsSYACYs+8W6nWFBDlbFBAlAH7OTwFRDcBFBBdvoxOAiRgTwIUEHvm3Uq1poAoZ4MCogzYz+EpILoJoIDo8mV0EiABexKggOjmPTo6WuLi4tQOsmLFCunTp48sWrQo08do2rSp2feOO+64at9x48bJ5s2bZcyYMZmOm9kdKCCZJZbJ7SkgmQQWYJtTQHQTRgHR5cvoJEAC9iQQbALy/fffS79+/SQ2NlYKFiwoL730kvTq1UumTZsmjz32mHz33Xfy1FNPXZHst956S9555x3ZunWr3HTTTWbbp59+WvLkySPx8fFSvHhxadeunWmsh4eHX7Hv888/LzgmypkzZyRv3rwSEhIiderUkXnz5gkFxPN9RQHxzOiatqCAXBM+y+9MAdFNEQVEly+jkwAJ2JNAMAnIwYMHpWbNmvL7779L1apVjYScOHFCqlevbqRiyJAhUqRIEfntt9/Skp2SkiKVK1eWsLAws41DQKZMmWL+nZycLH///bd069ZNihUrJpMnT3Z5oeTPn1/27t0r+OkoFBDP91XACggujttvv12qVKki6DJCwQUHW121apUULlxYPv/8c2nYsOFVFNxtt3r1aunYsaMcPnzYXLwTJ040Fozi7jNXqCkgni/CQN6CAqKbPQqILl9GJwESsCeBYBKQlStXmh6PNWvWXJVMyATE5JdffpHly5entecwdOmTTz6RHTt2yKRJk64SEEeg06dPy4033ihz586VW265JcOLJSMBQY/IiBEjZOjQoaY3pVWrVjJy5EizP4ZA9ezZ0/TQnDt3Tnbt2iXnz5+XLl26mHPMmTOnfPTRR6aNm5iYaH6P80WcGjVqyMyZMwVDsN544w0jUbNnzzYiNXDgQGnTpo05xrZt2+TFF1+U3bt3m96Z999/X+6777604zuGYB07dkyeeeYZ0wtUunRp02Y+e/Ysh2C5+1oYPny4/Prrr1K+fPk0AWnbtq2ULVtWBgwYYGThiSeeMFBz5MhxRShX20VGRkqFChVk7Nix5gLBBTB//nyZNWuWJCUlufzM3XlSQIL7y50CoptfCoguX0YnARKwJ4FrFZD+/fubIUcoGPrkKNq/zyhbly9fNg1ztO26d+9uGvCOAgFZsGCBaYTjwfSrr75qPsKD5kcffVR69+4tU6dOdSkg2Pbxxx83DXPEzqhkJCBod3bt2lXee+89uXjxotStW9e0VW+77TbTvvz3339Nr8oNN9xgQkIycI7vvvuuabfec8898s8//8jChQvlm2++MeeIsmfPHilXrpwRkAYNGsiMGTPkoYceku3bt8utt94qR44cMcPF0BME6XjggQfMZ3feeaeRG0iG8xyQJ5980rSjBw8eLMePH5f69eubzzkHxMX3AmDiQoNBwmyRVPSIYNwfut4cF1/Lli2lU6dOJgGO4m47dNG98sor8ueff5rNsS16P3A82KSrz/Lly+fyG4wCEtxf7hQQ3fxSQHT5MjoJkIA9CVyrgDhPYHaeCK39e1fZwsiWQYMGyfTp081cD0gR2oIQEDxIfvnll83v//rrLyMEEJYtW7aYnxkNwXI+DsQjJibmCtFy/tzVECzIgmMEzQsvvGDmh6BNigY+ekSee+65tDAFChQwvRX4iQKOffv2NUPHHn74Yfnss8/krrvuStseAtK+fXvTNnUUDCObM2eOmZMCwdqwYUPaZxhKdv3115t2rLOA5M6dWzCEzTF87O2335ZTp05RQDK60CAFMDl0baHbChcWBATi0ahRI2OHjoIuJkgJurkcxd12JUqUMPEmTJiQtn29evVk9OjRRkJcfYaLylWhgAT3lzsFRDe/FBBdvoxOAiRgTwLXKiBWpYbhQz169DDD6NEYdwgI2omYJ4L2HVZ5Wrt2rWAkDXoKPAkIHmbfe++9ZkhTRsWVgFy6dCmtlwi9ITgWRAQCgJ6XJk2amHAXLlwwE98xAsdRMDQLo3AgKsuWLTNydejQobShVBAQxFi8eHHaPo66YFgZhpdh2JmjDBs2zExTQK+IQ0Bq165tBAdC5ijo+UDPiy17QJAwdAGlL61btzYrEXzwwQdmrBy6+ZwvLACHJcJoHQVDsSAs+Oko7rYrVaqUrF+/Xj7++OO07XGBwEJ37tzp8jPHRZTRhZmckmLV+5Tn5QMCuw8cl7c/nSu53fSC+eAwtg1x+XKCxESnyIc9H7EtA0fFExNTJDw8dcgDCwmQAAlcC4HQ/w6fupYYVt0X8zbQ84D2pHM7EQ+u8bQfAoKhUZjn60lAMKQJPQto8ONnRsWbSejpBST9Mrjo+cC55cqVyyVWSNP9999vhmjhoXj6ZXgddYG8oHfFmx4QHA91hAChYB4J5oXYUkDcXdCwMnQrwfgiIiKuuLBghhhjhwQ6CiwYqxe89tprab9ztx0EBMaIieeOAmOGOUNAXH2G47oqR07qrQNt1ZvfTueFHpD3Jy6UvAVcD8OzEw9f1xU9IHnCkqXfCw/6OnTgxQtJEUmhgARe4njGJGA9AsVioq13Ulk8IwxdwmRtTBbHQ2c8/cf8CvQcOAvI0aNH5eabb5aSJUvKunXrzNFcCQjmlaDBj6FbtWrVkk8//dTl2flCQDAHBCtnoacC7VuM8MF8DZwzhpJhNA8evlerVs3McUab1JWAoCelUqVKJlaLFi3S5oBgekGZMmWuGIKFudJggKFXmJeCkUQY6kUBSZdurNeMCTqY7Y+SkJBgLrqKFSuacX2FChUySXOMZWvevLmxQCTAUbD0mqvtkJjOnTunraSA2Ji0hJhYYs3VZxgb6KpwCFYWv1ECZDcOwdJNFIdg6fJldBIgAXsSCKYhWH/88Ydpn+EBc1RUlGDoPIYvYVEiZwFBpps1ayZ33323mUOckYA43gOClwhizgQeemP+RGhoqKqAQC4wQR4PurHaFSQCywajbYtzQHsXCyXhwTratRm9iNBZpjA35NlnnzXTEtBGhYyg7ijOc0DQ+4FVsDB6CL1GDz74oBm+RgHx8L2Q/sJCUooWLWq6kGCIGJKFIVfoYkL3FyYl4XN322FJs1GjRpnlynABY7kzrKAAq3b1mbvTpIAE95c7BUQ3vxQQXb6MTgIkYE8CwSQg9sxg4Nc6YN8DAvTpBQTj/rAqALrd0AuCuRyYOASThU1i2V68N8TVdoi5ceNGE2P//v2mC+vbb781S555+ow9IIF/M2SlBhSQrFDzfh8KiPesuCUJkAAJeEuAAuItKW6nRSCgBUQLii/jsgfElzStF4sCopsTCoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zk8BUQ3ARQQXb6MTgIkYE8CFBB75t1KtaaAKGeDAqIM2M/hKSC6CaCA6PJldBIgAXsSoIDYM+9WqjUFRDkbFBBlwH4OTwHRTQAFRJcvo5MACdiTAAXEnnm3Uq0pIMrZoIAoA/ZzeAqIbgIoILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVRrCohyNiggyoD9HJ4CopsACoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zk8BUQ3ARQQXb6MTgIkYE8CFBB75t1KtaaAKGeDAqIM2M/hKSC6CaCA6PJldBIgAXsSoIDYM+9WqjUFRDkbFBBlwH4OTwHRTQAFRJcvo5MACdiTAAXEnnm3Uq0pIMrZoIAoA/ZzeAqIbgIoILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVRrCohyNiggyoD9HJ4CopsACoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zk8BUQ3ARQQXb6MTgIkYE8CFBB75t1KtaaAKGeDAqIM2M/hKSC6CaCA6PJldBIgAXsSoIDYM+9WqjUFRDkbFBBlwH4OTwHRTQAFRJcvo5MACdiTAAXEnnm3Uq0pIMrZoIAoA/ZzeAqIbgIoILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVRrCohyNiggyoD9HJ4CopsACoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zk8BUQ3ARQQXb6MTgIkYE8CFBB75t1KtaaAKGeDAqIM2M/hKSC6CaCA6PJldBIgAXsSoIDYM+9WqjUFRDkbFBBlwH4OTwHRTQAFRJcvo5MACdiTAAXEnnm3Uq0pIMrZoIAoA/ZzeAqIbgIoILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVRrCohyNiggyoD9HJ4CopsACoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zk8BUQ3ARQQXb6MTgIkYE8CFBB75t1KtaaAKGeDAqIM2M/hKSC6CaCA6PJldBIgAXsSoIDYM+9WqjUFRDkbFBBlwH4OTwHRTQAFRJcvo5MACdiTAAXEnnm3Uq0pIMrZoIAoA/ZzeAqIbgIoILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVTrgBSQ+fPny1tvvSWHDh2SsmXLypIlSwzTEydOSLt27WTVqlVSuHBh+fzzz6Vhw4ZX8Xa33erVq6Vjx45y+PBhqV69ukycOFGKFy9uYrj7zFVSKSBWutx9fy4UEN8zdY5IAdHly+gkQAL2JEABsWferVTrgBOQlStXSqdOnWTy5MlSrVq1K1i2bdvWCMmAAQOMLDzxxBOydetWyZEjh1fbRUZGSoUKFWTs2LHStGlT+eijjwSyM2vWLElKSnL5mbuEUkCsdLn7/lwoIL5nSgHRZcroJEACJEAB4TXgbwIBJyCPPPKIPPfcc9KsWbMr2CUnJ0vBggUlNjZWcubMaT5r2bKlkZUHHnggbVt32xUpUkReeeUV+fPPP8322Ba9H9u3b5dt27a5/Cxfvnwu80gB8fclrnt8CoguX/aA6PJldBIgAXsSoIDYM+9WqnXACUihQoVk8ODBZngVeiVeeOEFef755414NGrUSPbs2ZPGt0+fPkZKevXqlfY7d9uVKFHC9HhMmDAhbft69erJ6NGjjYS4+qxOnToUECtd1dl4LhQQXdgUEF2+jE4CJGBPAhQQe+bdSrW2nIBcunRJ6tevfxWj1q1bmx6IXLlySe/evaVv375y/vx5ady4sRGGmJgYefjhh2XLli1p+2IoFnox8NNRduzY4XK7UqVKyfr1WE8uCgAAIABJREFU6+Xjjz9O275JkybmWDt37nT5GbZxVS7GJ1op3zwXHxPYc/C4DPx8geTJn9fHkRkOBCAgBSJTZGj3FgEJJMSHZ52YnCLhob6M6MOTC+BQKQF87jx1EsgqgZxR4VndlfuRgE8IWE5A3NXq8uXLkidPHjl79qxERUWZTQcNGiQRERFm8nndunXl4MGDaSF69OghxYoVk9deey3td5i47mo7CMgvv/xiJp47Ss2aNWXcuHFGQFx9hniuyqlzl32SKAaxJoG9B4/L0K9/lzz5XQ/Ds+aZB8ZZQUDyhafIoK4PBcYJpztLXzZuU1JSJCSEAuLrC4FEfU2U8QKBQIE8kYFwmjzHICYQUAKCPJQuXdqscuVYmQqrYWGYFXpHMDxr165dkj9/fpOy5s2bm/kiLVr87+kp/oi72q5MmTLSuXNnWbNmjdk/MTHRrKaFmHv37nX5GXpfXBXOAQniu0dEOARLN78cgqXLl9FJgATsSYBDsOyZdyvVOuAE5O2335b9+/fLl19+KcePHzfzPn766SezIhZko2jRojJw4ECzChaGZGHIFYZtde3aVfr162c+d7dd5cqVZdSoUXLfffeZVbBmzpwpCxYsMEO5XH3mLqEUECtd7r4/FwqI75k6R6SA6PJldBIgAXsSoIDYM+9WqnXACQjmiGDS+bx584xYoAekQ4cOhunp06elffv2smzZMtMLgrkc9957r8TFxZkldH/99VepUqWKy+0QY+PGjSYGJKdSpUry7bffSrly5Ux8d5+xB8RKl3X2nQsFRJc1BUSXL6OTAAnYkwAFxJ55t1KtA05ArATPm3NhD4g3lAJ3GwqIbu4oILp8GZ0ESMCeBCgg9sy7lWpNAVHOBgVEGbCfw1NAdBNAAdHly+gkQAL2JEABsWferVRrCohyNiggyoD9HJ4CopsACoguX0YnARKwJwEKiD3zbqVaU0CUs0EBUQbs5/AUEN0EUEB0+TI6CZCAPQlQQOyZdyvVmgKinA0KiDJgP4engOgmgAKiy5fRSYAE7EmAAmLPvFup1hQQ5WxQQJQB+zm8PwRkyjvtJeFyXFrNU5KTpUiZitL0ucESd+Gs/DF1pBw/sF2ic+WTho90laJlK11BKTk5Sbat+j/Zsmy2JMRfkqiceaROsw5SqmIts91fv/8gfy38QUJCw8y/CxQrKw+8OMz8/2+f95Xj+/8R+e8L8SrVu19qN2uvlgUKiBpaBiYBErAxAQqIjZNvkapTQJQTQQFRBuzn8P4QkPRVXvt/30pkdC6pdvsjsuSHEZI7fxG55e4n5cTBHbJo8gfSsscYCY+IukJYti6fI+Wq3yY5cueXE7E75f++6CdPvvm1hIaFy4rZ46Vo2cpSrlrDq+jOGNVNmnYaJNG5s+fN7xQQP1/gPDwJkEBQEqCABGVaA6pSFBDldFFAlAH7Oby/BSQxIV5+/LCLtOg20kjIpEFt5InXJ0h4ZKpwLPh2qFSofbeUrlTHLanJg9tJi+4fSY48+WXR5Pflpnr3S7FyVa7a5/t3O8njvT+XkP/2gGjjp4BoE2Z8EiABOxKggNgx69aqMwVEOR8UEGXAfg7vbwH5Z+Vv8m/sLmn4yEty4cy/8sunfeSx18anUVnz29cSlTOvVGvcMkNSSYkJsuXPn+XQjvVyX6eBZpt5Xw+Ss8djJTkpSXLmKyg173laipevZj77bsBT5neJ8XFSsOT1Uuf+jpInpqhaFiggamgZmARIwMYEKCA2Tr5Fqk4BUU4EBUQZsJ/D+1NAUlJS5KeRL8sdT74qMcXKypkTh2TBt0Pkkf+MSaOyfsEUkeRkueWep64iNXP0f+TUkX1GIG5v3VMKlbzBbINeldDQMDMH5MiezbJo0vvyUNcPJVf+wnI57qJEROWQlOQk2fLnHNm57ndp0X2UWhYoIGpoGZgESMDGBCggNk6+RapOAVFOBAVEGbCfw2eHgHzb7wlTy9z5C0tLJ7k4uG2tbFoyXZo99475/OLZkzJ77KvyxOtfplFZNecLyZG7gJkfklHBhPTj+7fL4ikfmB6QfIVLXrXZ4ikfSqmbakv5Grdf9dmUIR3kwZc+lFz5CqpkggKigpVBSYAEbE6AAmLzC8AC1aeAKCeBAqIM2M/hs0NAXFURE8dvqtdUrqtS32yCHpHJg9tKq1fHSVSO3OZ3874aKBXq3CvXVannlpQ7yVg46T25vvptacdxDoS5I4/0/DjteL5OBwXE10QZjwRIgAREKCC8CvxNgAKinAEKiDJgP4f3l4CcOrpf5n81SFr1GmeGSznKsuljJDp3fql591NmFSwMyYKQYNjU5iU/SeEyFSVf4VKmtySmeFmz2+mj++X/vuwv93UaIPmLlJYDW1dLyQo1JTQsTI7s3iyLfxhhJrljvgj2K1TqBiM7m/+YIbHb1prlf7UKBUSLLOOSAAnYmQAFxM7Zt0bdKSDKeaCAKAP2c3h/CcjSH8dIvkIlrhpaFX/pvPwxdZQc27fVrIpVv8ULUvLGWwyl+V8PljKV60rJCrVkyffD5cyJWLPsbnSuvFK9yWNpPRy/TxwqR/dtldCwCMlToIjUuf8ZKVy6gpw/dcyskHXu1FEJC4807x6p27yT5Mwbo5YFCogaWgYmARKwMQEKiI2Tb5GqU0CUE0EBUQbs5/D+EhA/VzvbDk8ByTbUPBAJkICNCFBAbJRsi1aVAqKcGAqIMmA/h6eA6CaAAqLLl9FJgATsSYACYs+8W6nWFBDlbFBAlAH7OTwFRDcBFBBdvoxOAiRgTwIUEHvm3Uq1poAoZ4MCogzYz+EpILoJoIDo8mV0EiABexKggNgz71aqNQVEORsUEGXAfg5PAdFNAAVEly+jkwAJ2JMABcSeebdSrSkgytmggCgD9nN4CohuAiggunwZnQRIwJ4EKCD2zLuVak0BUc4GBUQZsJ/DQ0De+2aB5M6X189nEpyHh4DkjxDp1+Wh4Kwga0UCJEACfiBAAfEDdB7yCgIUEOULggKiDNjP4c9fjJMPv5kvcXEJfj6T4Dx8UnKy1KlynTx2X+3grCBrRQIkQAJ+IEAB8QN0HpICkp3XAAUkO2nzWCRAAiRAAiRAAp4IUEA8EeLn2gTYA6JMmAKiDJjhSYAESIAESIAEMkWAApIpXNxYgQAFRAGqc0gKiDJghicBEiABEiABEsgUAQpIpnBxYwUCFBAFqBQQZagMTwIkQAIkQAIkkGUCFJAso+OOPiJAAfERSFdh2AOiDJjhSYAESIAESIAEMkWAApIpXNxYgQAFRAEqe0CUoTI8CZAACZAACZBAlglQQLKMjjv6iAAFxEcg2QOiDJLhSYAESIAESIAEfEKAAuITjAxyDQQoINcAz5tdOQTLG0rchgRIgARIgARIILsIUECyizSP44oABUT52qCAKANmeBIgARIgARIggUwRoIBkChc3ViBAAVGA6hySAqIMmOFJgARIgARIgAQyRYACkilc3FiBAAVEASoFRBkqw5MACZAACZAACWSZAAUky+i4o48IUEB8BNJVGPaAKANmeBIgARIgARIggUwRoIBkChc3ViBAAVGAyh4QZagMTwIkQAIkQAIkkGUCFJAso+OOPiJAAfERSPaAKINkeBIgARIgARIgAZ8QoID4BCODXAMBCsg1wPNmVw7B8oYStyEBEiABEiABEsguAhSQ7CLN47giQAHhtUECJEACJEACJEACJEACJJBtBCggiqi//fZbSUlJkXbt2ikehaFJgARIILAJPP744zJu3DiJiYkJ7IrY7OzfeusteeCBB6RevXo2q3lgV5dtk8DOX7CcPQVEMZO8yRXhMjQJkEDQEKCABGYqKSCBmTe2TQIzb8F21hQQxYwG403etGlT6dOnj9xxxx2ZJrdixQqz76JFizK9L3cgARIIXgIUkMDMLQUk47y9++67EhcXJ/3797dkYoOxbWJJ0DwptwQoIIoXSCDe5NOmTZOnn35a8uTJI6GhoVK4cGHp0aOHdOrUyZCigCheMD4I3bNnTzl06JBMnjzZY7TRo0fLhQsXjBSyZB+BEydOmPtq0qRJ8uSTT6YdeMaMGYL/vvrqK7cnEx8fL7///rs0a9bMbLdu3Trp27ev/Pzzz9lXCR8fyWoCUrVqVZkyZYrgp6M4coOf/mKOIb033HCDbN26VSIjI32chcyHs7KA4D4rUqSI5M2bN61i+PuFvGoXCog2YcYPBgIUEMUsBqqA4AsaIoKyYcMGueuuu+TPP/+UihUrUkAUr5drDZ2YmCg1a9Y0DZP58+dL/vz53Ybct2+fYJ/y5ctf66G5fyYIoGF08803S1hYmPz9999pDSRvBeSXX34R/DdmzBhz1IsXL8rGjRsDehx+oAmIP5kvWLDAfCdboVhdQG666SbB/ZbdhQKS3cR5vEAkQAFRzFowCAjwNGnSRF577TXzxNW5B2TlypXSrVs38wWPxtRHH31kPkfZtm2bvPjii+ZJXXR0tMydO1f+/ffftCFYePKOYVz4A/bwww8rZsE+oWfPni2zZs2SkiVLSvHixeX55583lY+NjZX27dvLgQMHzLCAzp07y5tvvinOfySRGyyW8M8//0hCQoJ06dIlrWcEOX3wwQfNE/bz589Lrly5zNN7ThjO2rWF++X++++XRo0aGQHEfYOSXkBwb0E0kI9bb71VvvvuO5Ofxx57TE6ePCllypQR9HiVK1fO5Or777+XKlWqmB4wx9PxDz/8UHbt2iUff/yxiYXt0HjGPQ2BiYqKylolfLxXoAmI83BSd/fXsWPHZMeOHXL27FnzHfn555/L9ddfb+hNmDBB3n//fbl06ZIULVrU9Foil7gvT58+LTt37jR5xj2H/NWuXdvsh+9T3MeuvmdvvPFGH2fHdbhAFRDk5NlnnzXfjWXLljW5KF26tCCvQ4YMMd+f4H/kyBHBPYQHcvibdu7cORk5cmTaEOSM7tGIiIgrvltBb+jQofLNN99IUlKSdO3a1fzd9GcJxLaJP3nx2DoEKCA6XE3UQLzJ8UXr3AOCoQZoHKxatco0OJ0FBA0dNGYwJODXX3+VXr16yebNm82XbLVq1WTAgAGmsYTGbYECBUwMNIAwfKRFixZy9913+/2LWDH92R76kUcekf/85z9GQNq2bSvLli0z5+BopOIP3+XLl+X48eNmG2cBSU5ONr1caBQfPXpU8ORw+/btZqgQco4G7U8//WQaUYiXL18+M+yHJfMEICAQgOXLl5v7ZPr06XLLLbdcJSDIR926dc0BIOuvvPKKPProo6YRi55JRw+Ic2P43nvvle7du0vz5s3NfvXr15f33nvPNLIaNmwoS5cuNQ2tDh06SOXKlaV3796Zr4DCHoEsIO7ur08//dTkCvfLDz/8YHK2ZMkSQxC9VsgFvhuRBzyUwee4L8eOHSt//fWX+c7Fg4URI0aY701nAXH1PYuhs9lVAlFA8F1XvXp1c1/godqXX34pU6dONX/DcC/hPkHOcG/i7yH+hmHe4u23327uH+QbD99QXN2jzt+tyPsnn3xi4uNhAu5J3MP+XDksENsm2XVN8zjZR4ACosg6EG9yfOG2adPGDN+BXOCP2RdffCGtWrUypFzNAcEXa8GCBc2TvvXr15sGDv6AOhd8ub/xxhumsYU/AvijyuIbAmjUNm7cWLZs2WIC4o/lZ599ZobN4SeeruKPIMTCUdwNE8AfYcwRwZAu5BxzgPCHGAVP2tEbguubJfMEkCuIHnoz0OuBPKAhg94rV3NA0GOF+wvzsdwJCJ7kLl682MwjOXjwoGlM7d27V0aNGiUYcue459CggkA6GsOZr4Vv97CigOzfv998/zkKvuPuuecekyNn6XN3f+EJO+4jFMzfQA7RIwXpcC7z5s0z2+EawPWA3kpICAoeCKD3A79DcfSAuPqe9W1m3EezuoCknwOCSeGQ+Weeecb8nUJBLyR6ddHTtHbtWnnuuedk06ZN5rPdu3ebe+jw4cPm3/ibiJ7HjIZ1Od+jzt+teNiG4zl6+nEO+Ps3cODA7EzVFccKxLaJ32DxwGoEKCBqaIOjBwR/LPHUFV+WGIbjLCALFy40fzTxpYyCp0P4Ep8zZ47544khH84Ff7SxZjyeomOIT79+/RTp2ys0GpivvvqqYYuCp6P4N7r+Ub7++mv54IMPpFSpUiZn6LVy/iOJP7TvvPOOabSGhISY3ioMm0PDBznHE1o8tUeBpDp6yuxF2Te1dRYQRETDBEOyihUrZnqZIA+4pwYPHixr1qwxjWAMB3nhhRdMTt0JyJkzZ4x0ovGMYTtoAGOYD3oncQ04hs3h+sD/O57k+qZmWY9iRQFxNwk9/Yp+ru4vfB8ij45SoUIFIxl4EDB+/HjT+wUxwVArNJYh9rgvMSwLPcgouF4wGR7DgVAcAuLqezbrWcj8nlYXkIzmgIDbE088Yb4LHQX80SMFWcd3HSQeBf/G9x8eFqBg6BvuUwyRc3ePOn+31qlTx/Q6I2+OGOitHj58eOaB+2gPCoiPQDLMNRGggFwTPvc7B+JNnn4IFmqIJzb4wsXYV4eAYBItxho7JqfjDy2+mPETjSaMr0U3tnPBH200ovC0Dw3bH3/8MW1cs2IabBEaPRXInWN8Of7g4Q8fxML5KS56s/DCt9WrV18hINgWQ3ywAhoK8oPtHALivPQyBeTaLqn0AgJZQI8IBBATjCEgEAbcS5DF8PBwIx64v/ATOcTT24yGYOHMWrZsaeb/IB7EFNcGej7QgB02bNi1nbzS3oEuIA4s6e8vzDXA71DQgwLpQ77xvYkHMMg3hmdBPHC/OQTEeQlXVwLi6ntWKUUZhg1EAcG9g79DGcl3erF0JyDu7lFnAcEDBhzPsWpddubH1bECsW1iBW48B98SoID4lucV0QLxJk8vIOj+xxcnJs1hWJVDQK677jozMXbPnj2m+xrjaQcNGmQm6aFLG0+e8MQd3c8YloVGMOaHON4DgvGwGE6COSY5cuRQzELwh8ZQNzQ48cfTuSBXmBOCceZY6QoTjvGUD0Ps8NP5jyTyiXHQmHPwxx9/mKEm6NGigPj++kkvIDgCJrriiTjGhUNAsGgAJpRj8QfMtcKQOuQYAoIhQOhhhMijpG80Ycw57mPcb44heWj0Yogenv4iLhq4GFaCSc9WKIEsIGDs6v7CdyB6E/FgADmeOXOmGfaGoXLIEYQDucA9ieWVMyMgrr5nc+fOnW0pDUQBQe8fpPztt982vfvogcJ8N/QcZkZA3N2j6eeAoDcSvV0QUMyJxBAszK/zVwnEtom/WPG4egQoIHpsA3YSumMOCL4k0W2M1ZEgFxia4zwEC40hDFPA0AGMm3VMuARSNHAxzApDRyAoEA50czu/iBBPhbBiiGOMtGIqgjo0ei4wyRg/nQv+yGAY3G233WaefGMiOZ624qk4xjU7/5HEHJHXX3/dvP+lQYMGpjGESesUEN9fOhkJCBqT6IXC5FgICMagP/XUU+apOSThzjvvNPcf7jnkBkMZ8XQdDUAMz3G+rxyrKkHwnV+EhqWZ8dQW4gEZxRP4jh07+r6CWYgYyAKCxqWr+wtP0JEnfA9C8pFbyAh6tzCvDg1f9Gxh4YCJEydmSkBcfc9imFd2lUAUELDB0OKXXnrJ/J3C3zkMiUIeMyMg7u7R9PPr0AOJhwbIO+YBYcieY1Wz7MpV+r8NEC/8bWchAX8RoIAokudTBkW4DE0CJBA0BKwmIL4Ai0YoZDGY57pZWUB8kcNgjcG2SbBmNrDqRQFRzBdvckW4DE0CJBA0BIJVQJzncgRNspwqQgEJzKyybRKYeQu2s6aAKGaUN7kiXIYmARIIGgIUkMBMJQUkMPPGtklg5i3YzpoCophR3uSKcBmaBEggaAgEo4AETXLcVIQCEphZZtskMPMWbGdNAVHMKG9yRbgMTQIkEDQEKCCBmUoKSGDmjW2TwMxbsJ01BUQxo7zJFeEyNAmQQNAQoIAEZiopIIGZN7ZNAjNvwXbWFBDFjPImV4TL0CRAAkFDgAISmKmkgARm3tg2Ccy8BdtZU0AUM8qbXBEuQ5OABQnUqlVLOnfubF4amB3lscceM+9/wXtdArlQQAIzexSQwMwb2yaBmbdgO2sKiGJGeZMrwmVoErAYAbx5HC/fxIvN8Bb57Ch4y3alSpXMCyQDuVBAAjN7FJDAzBvbJoGZt2A7awqIYkZ5kyvCZWgSsBiBnj17Ss2aNWX8+PHy6aefSsWKFc0Z4oV0J0+eNG/DPnr0qOANxB988IEMHjxYzp07Z7aZMmWKlCxZ0vw/3l6PN5tfvHhRmjRpImPGjDFvLkecvHnzyty5c2XhwoUC+cAbtLHtHXfcIWfPnpVu3boJ3nielJQkePty69atZcKECfL++++L4w3peOs93q6Otz4PGTJESpcubd7WjXPD29Pbt2+f7WQpINmO3CcHpID4BGO2B2HbJNuR84AZEKCAKF4WvMkV4TI0CViIQGJioumJ+Ouvv4xMoEE/dOjQNAGBlGzYsMH0VHTt2lV++OEH2bJlixQqVChNRIYNGyYHDhwww6nQgwIx6NChg1SuXFl69+5tBGTUqFFGKJo2bWpi46dDQDD0Kzo6WoYPH24EBG/hhrBs3LjRxCpQoICJc+HCBSM1EJAGDRrI8uXL5dZbb5Vjx46ZOhw6dMgIT3YWCkh20vbdsSggvmOZnZHYNslO2jyWKwIUEMVrgze5IlyGJgELEZg1a5bMnDlTvvjiCzl//rxgLsjWrVslNDTUiENsbKyMHj3anPGXX34p8+bNE/REoKDHA7+bNm2ajBw5Uvbt22d6L1AWLVokffv2lSVLlpg4mzZtku+++y6t5s4Cki9fPtm7d68RDVcFx8V54HwhIJ06dZK///47bXMIyM8//yzly5fPVroUkGzF7bODUUB8hjJbA7Ftkq24eTAXBCggipcGb3JFuAxNAhYi0LJlSyMSISEh5qwSEhLMv++77z4jDhj+NGDAAPPZV199ZRr/48aNM//+7bffzP/PmDFDevXqJV9//bXExMSYz9CTgf9fuXLlVXHwuUNA6tSpI4ULFzbDttIX9L5Mnz7dDP3CULAiRYoYycA5oEdk8eLFabtUrVrViNBNN92UrXQpINmK22cHo4D4DGW2BmLbJFtx82AUkOy/BniTZz9zHpEEspvAiRMnpH79+rJ9+/Y0AUGDf+rUqaaXAwISFxcn/fv39ygg6Pk4cuSIYDhW+pI+jrOAYA4IhndhCFf+/PnTdp0zZ47069dPFixYIOghgXhAdhwCguFb6GVxFApIdl89gX08Ckhg5o9tk8DMW7CdNXtAFDPKm1wRLkOTgEUIYNgUpAGC4CiYf1G2bFkzDAsNfm8FZP/+/dK4cWOBOFSpUsXsd/jwYTNp3JOAYPI45pS89957ZiWuU6dOmTjo0YBwIFabNm3M3BAKiEUungA/DQpIYCaQbZPAzFuwnTUFRDGjvMkV4TI0CViEQI0aNcywKvx0LphfUbduXSMC3goI9scqVhiKBfHAZHD0YHTs2NGjgGB4FZYBxnwRFPSmNG/eXFq1amV6Z4oVK2ZWzZo4cSIFxCLXTqCfBgUkMDPItklg5i3YzpoCophR3uSKcBmaBEggaAhwDkhgppICEph5Y9skMPMWbGdNAVHMKG9yRbgMTQIkEDQEKCCBmUoKSGDmjW2TwMxbsJ01BUQxo7zJFeEyNAmQQNAQoIAEZiopIIGZN7ZNAjNvwXbWFBDFjPImV4TL0CRAAkFDgAISmKmkgARm3tg2Ccy8BdtZU0AUM8qbXBEuQ5MACQQNAQpIYKaSAhKYeWPbJDDzFmxnTQFRzChvckW4DE0CJBA0BCgggZlKCkhg5o1tk8DMW7CdNQVEMaO8yRXhMjQJkEDQEKCABGYqKSCBmTe2TQIzb8F21hQQxYzyJleEy9AkQAJBQ4ACEpippIAEZt7YNgnMvAXbWVNAFDPKm1wRLkOTAAkEDQEKSGCmkgISmHlj2yQw8xZsZ00BUcwob3JFuAxNAiQQNAQCSUBWrFghffr0kUWLFgUN/6xWhAKSVXL+3Y9tE//y59FTCVBAFK8E3uSKcBk6jUDVqlVl//79EhoaKrlz55ZHH31UPvjgAwkPDyclEggIAv4WkBMnTkiRIkUkb968abyaNm0qU6ZMkfj4ePn999+lWbNm5rNrEZDRo0fLhQsXjMC4Ko899pi88sor0rBhQ9m2bZskJSVJ5cqVLZnHQBaQ77//Xvr16yexsbFSsGBBeemll6RXr16W5Ozrk2LbxNdEGS8rBCggWaHm5T68yb0Exc2uiQAEBA0l/Dx27JgRkNatW0uXLl2uKS53JoHsImAFAbnpppsEIpK+/PLLL4L/xowZc80Csm/fPklMTJTy5cu7RLtq1SqpVKmS5MmTR1577TWpW7euuaetWAJVQA4ePCg1a9Y0YonvTUgIcl+9enUrYvb5ObFt4nOkDJgFAhSQLEDzdhfe5N6S4nbXQsBZQBBn2LBhcujQIRk1apT8+++/0q5dO/nnn38kISHBSInj6Suerr744ouydetWiY6Olrlz58qNN95oGlvY5uLFi9KkSRPT8IqKirqWU+S+JOCWgFUFZNOmTYIeiZMnT0qZMmWkZ8+eUq5cOXnjjTdMr8Ts2bMlLCxMBg4cKG3atDF1vO6660wPxrx58+To0aPSoEEDQc8HyrvvvitxcXHSv39/SUlJMf/+/PPP5fz58/Lkk0/KyJEjBT0vuP8OHz4sL7/8suTLl08KFCggzz77rEydOlUWLFiQxhJi8sgjj8hTTz3llyssUAVk5cqVpsdjzZo1GXLL6DsQea5Tp468//77cvfdd5tr4pZbbpH58+eb781AKmybBFK2gvdcKSCKueVNrgiXodMIOAvIgQMHpGXLlvL222/Lww8/LMnJyfLnn39Ko0aNTGMIT3m3b98uMTExUq1aNRkwYIB9OAX5AAAL0klEQVRpYEFU0MjBk0AM/Vi6dKmULl1aOnToYBpavXv3JnESUCNgVQFBhSEIGzZsuKIHBFIxY8YMeeihh8z9dOutt8qRI0eMqEPmISTovcDwqfr165shkY0bN75CQCZNmiRjx46VOXPmGMnAPVioUKE0AbnjjjuM1LRo0cL0gKDnBBK0evVqKVmypBnKVbZsWdm7d6/kypVLLTfuAgeqgFy+fFlq1Kghbdu2le7du0vOnDnTqonvUFffgevXrzeyh58QGPRUvfrqq35hfy0HZdvkWuhxX18RoID4imQGcXiTK8Jl6CsEBI2fkJAQOXXqlKBhgwZdRgV/WPE0FttCLv76668rNsMTWAwTGTFihPk9Jtr27dtXlixZQuIkoEbACgKSfg4IeinQk5GRgLRv397Mz3AUiD1EAkOrICBoxBYuXNh8jF7G2rVrS6dOna4QEDwgwD2IBwbOxdEDkl5AsE2PHj2kRIkSptE7efJkmTVrlvnprxKoAgJeGHI1aNAgmT59upEKzAeBiHj6DnzzzTfN9+bx48fNwx30jARaYdsk0DIWnOdLAVHMK29yRbgMfYWAOOaA3H777WaY1RNPPGE+3717t7zzzjuCMc+QDowvx1Ar9Ibg6SuGGjgXTML8+uuvTQ8JCp7g4v8xZIGFBLQIWEFAXM0ByUhA0CO4ePHiK+7BadOmmR5GCMilS5fM/YbStWtXM8/ghRdeuEJAMJwH9yDmeHgrIBs3bhTID57AY+gVBAa9MP4qgSwgDmZnz541Yochb5BIT9+B2K5UqVIyYcIEM7w1EAvbJoGYteA7ZwqIYk55kyvCZegMBQQ9FXjSumXLFomIiDBjlvEU9+mnnzbb40nsuHHjzP9jTDmGljgX9HygNwXzSFhIILsIWFlAvvjiC9PgdzcJHYLhLCCY5+EorgTkgQceMPcghli5EhAMEUJPifMkdEyexjlh/z179khkZGR2pemq4wSDgKBSp0+fluLFixtx9PQdiJxgtTRMYF+7du0Vw7f8lohMHphtk0wC4+YqBCggKlhTg/ImV4TL0BkKCH6JCZKtWrUyQz8wIRYTV/GU9Y8//pB77rnHzO/A+Gc8rcXYdDSA8BQQy/hiYiXGquNJYJUqVcyEWTzxw8RbFhLQImBlAcFcD/RUYFI5SkbL8GZFQPAEHf/9/PPPpkGL+VeY2+E8BAsPDzAvBA19R8HiEjinG264QcaPH6+VEq/iBqqAoGcYc2oweRzz5D755BMzlG3ZsmVmSXNX34HoMcawLWyHIVvnzp0zQ7YCrbBtEmgZC87zpYAo5pU3uSJchnYpIMuXLzfDM3bu3GnGiL/++utmSU9MnMU7DfBEFj0hGM6B4VrYDpNYf/31V6lQoYJZ1QXDECAemFSLP7QdO3YkcRJQI2AFAcGcDefJ3HjvB+Qd9wx6G3bs2GFEALKR/kWEWREQNHxxb+HvBJ68o5dy+PDhVwgI5plgjgiGQuK9FXhwgLkHEJX/+7//M6vU+bMEqoDgYUznzp3NaoH4jqtXr5589NFHZlI/SkbfgVisA/xnzpxprgFcF7Vq1ZLPPvvMfLcGUmHbJJCyFbznSgFRzC1vckW4DE0CJBA0BPwtIIEEEo1mNJix+hV6Lf1ZAlVA/MnMCsdm28QKWeA5UEAUrwHe5IpwGZoESCBoCFBAvE8lln/FfAXnYVne7+3bLSkgvuWZXdHYNsku0jyOOwIUEMXrgze5IlyGJgESCBoCFBDPqfzhhx/M+3jw8jvMV7DCy0EpIJ7zZsUt2DaxYlbsd04UEMWc8yZXhMvQJEACQUOAAhKYqaSABGbe2DYJzLwF21lTQBQzevH/27uTUB2/OA7gv2SBkq6IDGWMkjHCBgslyVDmUhaGUoaNIWEjFGVFlBCykGShpGRhSLGwMiyUIbNMC8NChn/n1H27/pP7vr3e6X6euuW+nnOecz7Ps7jfzvk975cv8fPnz6p9S+0fnJquCRAgUDaB9C3gTU1NVa9pKNuE2khH6e156XtPqvkq4DZCXdZp+tukrJw6K1FAACkRTjMCBAgQIECAAAECBIoXEECKN9OCAAECBAgQIECAAIESBQSQEuE0I0CAAAECBAgQIECgeAEBpHgzLQgQIECAAAECBAgQKFFAACkRTjMCBAgQIECAAAECBIoXEECKN9OCAAECBAgQIECAAIESBQSQEuE0I0CAAAECBAgQIECgeAEBpHgzLQgQIECAAAECBAgQKFFAACkRTjMCBAgQIECAAAECBIoXEECKN9OCAAECBAgQIECAAIESBQSQEuE0I0CAAAECBAgQIECgeAEBpHgzLQgQIECAAAECBAgQKFFAACkRTjMCBAgQIECAAAECBIoXEECKN9OCAAECrRZ49epV7N69O86fPx9Pnz6NTp06xZAhQ2Lt2rWxaNGiVvfjRAIECBAg0CgCAkij3EnzIECg5gTu3bsXU6ZMiUmTJsXq1atjwIAB8fnz57hz50706dMnJk6cWHNjNiACBAgQIPCnBQSQPy2sfwIE2qzAuHHjIv0cOHDgfw3Gjh0b+/fvzz9nz56NPXv25MDy/PnzvFJy8eLFaNeuXcyYMSOf07Vr19xfv3794vDhwzF16tRC/ynwLFmyJJYvXx6fPn2K3r17x5EjR/IqTFqN6d69ex7PhAkT2ux9MXECBAgQqK6AAFJdf1cnQKBBBW7fvh2jRo2K169fR7du3X4bQL5+/ZqDw4IFC6KpqSm6dOmSQ8Lw4cNjx44d8f3791i/fn18+PAhLly40OoA0rlz5xxcTp8+nbd/pTCyZcuWePToUXTs2LFB9U2LAAECBGpZQACp5btjbAQI1K1A+oN/8+bN8eDBg8Ic0srG9u3b8+8plDx+/Dj/O62ADB06NE6ePFk499q1azF79ux48eJFdOjQIX/+8ePH6NWrV1y/fj1GjBjRqhWQFECuXLmSt4E1H8OGDYtt27apQanbp8vACRAgUN8CAkh93z+jJ0CgRgVSmNi0aVPeRtV8pNWLd+/exc2bN2PdunXx9u3bQgBZtWpVLFu2rHDuoUOH4vjx4zlstDzGjBkTGzZsiMWLF7c6gDx58iT69u1b6Gb+/PkxcuTI2Lp1a43qGRYBAgQINLKAANLId9fcCBComsCNGzdykfn79+/zlqqWx+XLl2PevHm/BJC0varlW7H27dsXp06d+kcAGT16dGzcuPE/A0jatpXqP5prQNIKyP3792Pw4MGFIcyZMyfXpqStWA4CBAgQIFBpAQGk0uKuR4BAmxD49u1bDBo0KObOnRt79+4tOoBcvXo1UlD4ty1Y6f9SEEn1Ibt27YqZM2fm/n/8+JG3aKWakZYB5Ny5c7+c079//1zovnDhwjZxL0ySAAECBGpLQACprfthNAQINJBAenvVrFmz8mrHypUrcyBJweTMmTM5OLTcgvX3FZAUJtJqRqr12LlzZy5CT1uvUlH7pUuXstLSpUvz5ydOnMhvyUpBJ52Ttm+1DCDjx4+Po0eP5nCS3oZ17NixXITeXFvSQOSmQoAAAQJ1ICCA1MFNMkQCBOpX4NatWzlApKLytB0rvXlq4MCBMW3atLwKkY5UhP73AJI+f/PmTaxZs6bw1qvp06dH2pqVXqWbjmfPnsWKFSvi7t270b59+xx2Uo3J5MmTfwkgKfCkeo+HDx9GKkA/ePBgpFDiIECAAAEC1RAQQKqh7poECBCogED6HpBUA5K+/6NHjx4VuKJLECBAgACB3wsIIL83cgYBAgTqUqA5gLx8+TJ69uxZl3MwaAIECBBoPAEBpPHuqRkRIEAgCwggHgQCBAgQqEUBAaQW74oxESBAoAwCAkgZEHVBgAABAmUXEEDKTqpDAgQIECBAgAABAgT+S0AA8WwQIECAAAECBAgQIFAxAQGkYtQuRIAAAQIECBAgQICAAOIZIECAAAECBAgQIECgYgICSMWoXYgAAQIECBAgQIAAAQHEM0CAAAECBAgQIECAQMUEBJCKUbsQAQIECBAgQIAAAQICiGeAAAECBAgQIECAAIGKCfwFEISZtYhfi9sAAAAASUVORK5CYII="
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "smd"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Adverse Impact Ratio by Quantile"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [],
            "source": [
                "airq = sd.adverse_impact_ratio_by_quantile(\n",
                "    outcome=data[\"Prediction\"],\n",
                "    air_threshold=0.8,\n",
                "    percent_difference_threshold=0.0,\n",
                "    quantiles=[decile / 10 for decile in range(1, 11)],\n",
                "    lower_score_favorable=True,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Adverse Impact Ratio By Quantile"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Lower Score Favorable                     │ True                                                                │\n",
                            "│ Affected Groups                           │ Black, Hispanic, Female                                             │\n",
                            "│ Affected Reference                        │ White, Non-Hispanic, Male                                           │\n",
                            "│ Affected Categories                       │ Race, Ethnicity, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Lower Score Favorable                     │ True                                                                │\n",
                            "│ Affected Groups                           │ Black, Hispanic, Female                                             │\n",
                            "│ Affected Reference                        │ White, Non-Hispanic, Male                                           │\n",
                            "│ Affected Categories                       │ Race, Ethnicity, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Adverse Impact Ratio By Quantile Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Quantile</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Quantile Cutoff</th>\n",
                            "      <th>Observations</th>\n",
                            "      <th>Percent Missing</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Favorable</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "      <th>Percent Difference Favorable</th>\n",
                            "      <th>AIR</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>13.0</td>\n",
                            "      <td>3.82%</td>\n",
                            "      <td>4.93%</td>\n",
                            "      <td>0.437</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>91.0</td>\n",
                            "      <td>27.83%</td>\n",
                            "      <td>-19.08%</td>\n",
                            "      <td>3.181</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>1.0</td>\n",
                            "      <td>5.00%</td>\n",
                            "      <td>3.75%</td>\n",
                            "      <td>0.571</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>317.0</td>\n",
                            "      <td>8.75%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>15.0</td>\n",
                            "      <td>2.95%</td>\n",
                            "      <td>7.79%</td>\n",
                            "      <td>0.275</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>409.0</td>\n",
                            "      <td>10.74%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>66.0</td>\n",
                            "      <td>6.38%</td>\n",
                            "      <td>3.05%</td>\n",
                            "      <td>0.677</td>\n",
                            "      <td>0.006</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>10.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.044761</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>153.0</td>\n",
                            "      <td>9.43%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>37.0</td>\n",
                            "      <td>10.88%</td>\n",
                            "      <td>9.85%</td>\n",
                            "      <td>0.525</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>132.0</td>\n",
                            "      <td>40.37%</td>\n",
                            "      <td>-19.64%</td>\n",
                            "      <td>1.947</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>2.0</td>\n",
                            "      <td>10.00%</td>\n",
                            "      <td>10.73%</td>\n",
                            "      <td>0.482</td>\n",
                            "      <td>0.403</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>751.0</td>\n",
                            "      <td>20.73%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>42.0</td>\n",
                            "      <td>8.27%</td>\n",
                            "      <td>14.95%</td>\n",
                            "      <td>0.356</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>884.0</td>\n",
                            "      <td>23.21%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>155.0</td>\n",
                            "      <td>14.99%</td>\n",
                            "      <td>4.92%</td>\n",
                            "      <td>0.753</td>\n",
                            "      <td>0.002</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>20.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.045863</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>323.0</td>\n",
                            "      <td>19.91%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>62.0</td>\n",
                            "      <td>18.24%</td>\n",
                            "      <td>11.30%</td>\n",
                            "      <td>0.617</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>175.0</td>\n",
                            "      <td>53.52%</td>\n",
                            "      <td>-23.98%</td>\n",
                            "      <td>1.812</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>4.0</td>\n",
                            "      <td>20.00%</td>\n",
                            "      <td>9.53%</td>\n",
                            "      <td>0.677</td>\n",
                            "      <td>0.464</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,070.0</td>\n",
                            "      <td>29.53%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>69.0</td>\n",
                            "      <td>13.58%</td>\n",
                            "      <td>19.14%</td>\n",
                            "      <td>0.415</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,246.0</td>\n",
                            "      <td>32.72%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>225.0</td>\n",
                            "      <td>21.76%</td>\n",
                            "      <td>5.74%</td>\n",
                            "      <td>0.791</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>30.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.046427</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>446.0</td>\n",
                            "      <td>27.50%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>103.0</td>\n",
                            "      <td>30.29%</td>\n",
                            "      <td>16.38%</td>\n",
                            "      <td>0.649</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>238.0</td>\n",
                            "      <td>72.78%</td>\n",
                            "      <td>-26.11%</td>\n",
                            "      <td>1.559</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>8.0</td>\n",
                            "      <td>40.00%</td>\n",
                            "      <td>6.67%</td>\n",
                            "      <td>0.857</td>\n",
                            "      <td>0.656</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,691.0</td>\n",
                            "      <td>46.67%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>139.0</td>\n",
                            "      <td>27.36%</td>\n",
                            "      <td>22.30%</td>\n",
                            "      <td>0.551</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,891.0</td>\n",
                            "      <td>49.66%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>380.0</td>\n",
                            "      <td>36.75%</td>\n",
                            "      <td>7.27%</td>\n",
                            "      <td>0.835</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>40.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.046703</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>714.0</td>\n",
                            "      <td>44.02%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>141.0</td>\n",
                            "      <td>41.47%</td>\n",
                            "      <td>9.70%</td>\n",
                            "      <td>0.810</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>243.0</td>\n",
                            "      <td>74.31%</td>\n",
                            "      <td>-23.14%</td>\n",
                            "      <td>1.452</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>9.0</td>\n",
                            "      <td>45.00%</td>\n",
                            "      <td>6.17%</td>\n",
                            "      <td>0.879</td>\n",
                            "      <td>0.657</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,854.0</td>\n",
                            "      <td>51.17%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>167.0</td>\n",
                            "      <td>32.87%</td>\n",
                            "      <td>21.54%</td>\n",
                            "      <td>0.604</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>2,072.0</td>\n",
                            "      <td>54.41%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>414.0</td>\n",
                            "      <td>40.04%</td>\n",
                            "      <td>9.78%</td>\n",
                            "      <td>0.804</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>50.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.047009</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>808.0</td>\n",
                            "      <td>49.82%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>161.0</td>\n",
                            "      <td>47.35%</td>\n",
                            "      <td>13.62%</td>\n",
                            "      <td>0.777</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>260.0</td>\n",
                            "      <td>79.51%</td>\n",
                            "      <td>-18.54%</td>\n",
                            "      <td>1.304</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>11.0</td>\n",
                            "      <td>55.00%</td>\n",
                            "      <td>5.97%</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td>0.648</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>2,209.0</td>\n",
                            "      <td>60.97%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>214.0</td>\n",
                            "      <td>42.13%</td>\n",
                            "      <td>21.53%</td>\n",
                            "      <td>0.662</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>2,424.0</td>\n",
                            "      <td>63.66%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>520.0</td>\n",
                            "      <td>50.29%</td>\n",
                            "      <td>7.60%</td>\n",
                            "      <td>0.869</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>60.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.047266</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>939.0</td>\n",
                            "      <td>57.89%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>248.0</td>\n",
                            "      <td>72.94%</td>\n",
                            "      <td>7.96%</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>308.0</td>\n",
                            "      <td>94.19%</td>\n",
                            "      <td>-13.29%</td>\n",
                            "      <td>1.164</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>14.0</td>\n",
                            "      <td>70.00%</td>\n",
                            "      <td>10.90%</td>\n",
                            "      <td>0.865</td>\n",
                            "      <td>0.250</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>2,931.0</td>\n",
                            "      <td>80.90%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>364.0</td>\n",
                            "      <td>71.65%</td>\n",
                            "      <td>10.83%</td>\n",
                            "      <td>0.869</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>3,141.0</td>\n",
                            "      <td>82.48%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>765.0</td>\n",
                            "      <td>73.98%</td>\n",
                            "      <td>4.44%</td>\n",
                            "      <td>0.943</td>\n",
                            "      <td>0.010</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>80.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.048018</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>1,272.0</td>\n",
                            "      <td>78.42%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>288.0</td>\n",
                            "      <td>84.71%</td>\n",
                            "      <td>5.41%</td>\n",
                            "      <td>0.940</td>\n",
                            "      <td>0.003</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>321.0</td>\n",
                            "      <td>98.17%</td>\n",
                            "      <td>-8.05%</td>\n",
                            "      <td>1.089</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>17.0</td>\n",
                            "      <td>85.00%</td>\n",
                            "      <td>5.12%</td>\n",
                            "      <td>0.943</td>\n",
                            "      <td>0.441</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>3,265.0</td>\n",
                            "      <td>90.12%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>428.0</td>\n",
                            "      <td>84.25%</td>\n",
                            "      <td>6.85%</td>\n",
                            "      <td>0.925</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>3,469.0</td>\n",
                            "      <td>91.10%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>887.0</td>\n",
                            "      <td>85.78%</td>\n",
                            "      <td>4.04%</td>\n",
                            "      <td>0.955</td>\n",
                            "      <td>0.002</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>90.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.048694</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>1,457.0</td>\n",
                            "      <td>89.83%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>100.0%</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0.058530</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "airq"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Odds Ratio"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [],
            "source": [
                "odds_ratio = sd.odds_ratio(\n",
                "    outcome=binary_outcome,\n",
                "    odds_ratio_threshold=0.68,\n",
                "    percent_difference_threshold=0.0,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Odds Ratio"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ Odds Ratio Threshold                      │ 0.68                                                                │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Lower Score Favorable                     │ True                                                                │\n",
                            "│ Affected Groups                           │ Black, Hispanic, Female                                             │\n",
                            "│ Affected Reference                        │ White, Non-Hispanic, Male                                           │\n",
                            "│ Affected Categories                       │ Race, Ethnicity, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ Odds Ratio Threshold                      │ 0.68                                                                │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Lower Score Favorable                     │ True                                                                │\n",
                            "│ Affected Groups                           │ Black, Hispanic, Female                                             │\n",
                            "│ Affected Reference                        │ White, Non-Hispanic, Male                                           │\n",
                            "│ Affected Categories                       │ Race, Ethnicity, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Odds Ratio Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 13.68%, Race: 13.56%, Sex: 46.88%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Favorable</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "      <th>Odds</th>\n",
                            "      <th>Percent Difference Favorable</th>\n",
                            "      <th>Odds Ratio</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>141.0</td>\n",
                            "      <td>41.47%</td>\n",
                            "      <td>0.708543</td>\n",
                            "      <td>9.70%</td>\n",
                            "      <td>0.676058</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>243.0</td>\n",
                            "      <td>74.31%</td>\n",
                            "      <td>2.892857</td>\n",
                            "      <td>-23.14%</td>\n",
                            "      <td>2.760229</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>9.0</td>\n",
                            "      <td>45.00%</td>\n",
                            "      <td>0.818182</td>\n",
                            "      <td>6.17%</td>\n",
                            "      <td>0.780671</td>\n",
                            "      <td>0.657</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,854.0</td>\n",
                            "      <td>51.17%</td>\n",
                            "      <td>1.048050</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>167.0</td>\n",
                            "      <td>32.87%</td>\n",
                            "      <td>0.489736</td>\n",
                            "      <td>21.54%</td>\n",
                            "      <td>0.410319</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>2,072.0</td>\n",
                            "      <td>54.41%</td>\n",
                            "      <td>1.193548</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>414.0</td>\n",
                            "      <td>40.04%</td>\n",
                            "      <td>0.667742</td>\n",
                            "      <td>9.78%</td>\n",
                            "      <td>0.672700</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>808.0</td>\n",
                            "      <td>49.82%</td>\n",
                            "      <td>0.992629</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "odds_ratio"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Categorical Adverse Impact Ratio"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Generate an example categorical outcome.\n",
                "categorical_outcome = pd.qcut(data[\"Prediction\"], q=[0.0, 0.25, 0.5, 0.75, 1.0])\n",
                "categories = categorical_outcome.cat.categories.to_series()\n",
                "categories = pd.Series([\"Best\", \"Great\", \"Good\", \"Bad\"], index=categories.index)\n",
                "categorical_outcome.replace(categories.to_dict(), inplace=True)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [],
            "source": [
                "cair = sd.categorical_adverse_impact_ratio(\n",
                "    outcome=categorical_outcome,\n",
                "    category_order=list(reversed(categories.tolist())),\n",
                "    air_threshold=0.8,\n",
                "    percent_difference_threshold=0.0,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Categorical Adverse Impact Ratio"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Affected Groups                           │ Hispanic, Black, Female                                             │\n",
                            "│ Affected Reference                        │ Non-Hispanic, White, Male                                           │\n",
                            "│ Affected Categories                       │ Ethnicity, Race, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ Affected Groups                           │ Hispanic, Black, Female                                             │\n",
                            "│ Affected Reference                        │ Non-Hispanic, White, Male                                           │\n",
                            "│ Affected Categories                       │ Ethnicity, Race, Sex                                                │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Categorical Adverse Impact Ratio Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Category</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Ordinal</th>\n",
                            "      <th>Observations</th>\n",
                            "      <th>Percent Missing</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Favorable</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "      <th>Percent Difference Favorable</th>\n",
                            "      <th>AIR</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>0</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td>0.00%</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>1.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Bad</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>0</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>100.00%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Good</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>248.0</td>\n",
                            "      <td>72.94%</td>\n",
                            "      <td>7.96%</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Good</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>308.0</td>\n",
                            "      <td>94.19%</td>\n",
                            "      <td>-13.29%</td>\n",
                            "      <td>1.164</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Good</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>14.0</td>\n",
                            "      <td>70.00%</td>\n",
                            "      <td>10.90%</td>\n",
                            "      <td>0.865</td>\n",
                            "      <td>0.250</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Good</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>2,931.0</td>\n",
                            "      <td>80.90%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Good</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>364.0</td>\n",
                            "      <td>71.65%</td>\n",
                            "      <td>10.83%</td>\n",
                            "      <td>0.869</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Good</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>3,141.0</td>\n",
                            "      <td>82.48%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Good</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>765.0</td>\n",
                            "      <td>73.98%</td>\n",
                            "      <td>4.44%</td>\n",
                            "      <td>0.943</td>\n",
                            "      <td>0.010</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Good</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>1,272.0</td>\n",
                            "      <td>78.42%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Great</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>141.0</td>\n",
                            "      <td>41.47%</td>\n",
                            "      <td>9.70%</td>\n",
                            "      <td>0.810</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Great</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>243.0</td>\n",
                            "      <td>74.31%</td>\n",
                            "      <td>-23.14%</td>\n",
                            "      <td>1.452</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Great</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>9.0</td>\n",
                            "      <td>45.00%</td>\n",
                            "      <td>6.17%</td>\n",
                            "      <td>0.879</td>\n",
                            "      <td>0.657</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Great</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,854.0</td>\n",
                            "      <td>51.17%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Great</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>167.0</td>\n",
                            "      <td>32.87%</td>\n",
                            "      <td>21.54%</td>\n",
                            "      <td>0.604</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Great</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>2</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>2,072.0</td>\n",
                            "      <td>54.41%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Great</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>2</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>414.0</td>\n",
                            "      <td>40.04%</td>\n",
                            "      <td>9.78%</td>\n",
                            "      <td>0.804</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Great</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>2</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>808.0</td>\n",
                            "      <td>49.82%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Best</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>44.0</td>\n",
                            "      <td>12.94%</td>\n",
                            "      <td>10.88%</td>\n",
                            "      <td>0.543</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Best</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>145.0</td>\n",
                            "      <td>44.34%</td>\n",
                            "      <td>-20.52%</td>\n",
                            "      <td>1.862</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Best</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>2.0</td>\n",
                            "      <td>10.00%</td>\n",
                            "      <td>13.82%</td>\n",
                            "      <td>0.420</td>\n",
                            "      <td>0.191</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Best</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>863.0</td>\n",
                            "      <td>23.82%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Best</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>47.0</td>\n",
                            "      <td>9.25%</td>\n",
                            "      <td>17.22%</td>\n",
                            "      <td>0.350</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Best</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,008.0</td>\n",
                            "      <td>26.47%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Best</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>3</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>175.0</td>\n",
                            "      <td>16.92%</td>\n",
                            "      <td>5.21%</td>\n",
                            "      <td>0.765</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Best</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>3</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>359.0</td>\n",
                            "      <td>22.13%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
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                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "cair"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Residual Standardized Mean Difference"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [],
            "source": [
                "rsmd = sd.residual_standardized_mean_difference(\n",
                "    prediction=data[\"Prediction\"],\n",
                "    label=data[label],\n",
                "    residual_smd_threshold=30,\n",
                "    lower_score_favorable=True,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Residual Standardized Mean Difference"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────┬─────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                      │ Black, Asian, Native American, Hispanic, Female                         │\n",
                            "│ Reference Groups                      │ White, White, White, Non-Hispanic, Male                                 │\n",
                            "│ Group Categories                      │ Race, Race, Race, Ethnicity, Sex                                        │\n",
                            "│ Residual SMD Threshold                │ 30.0                                                                    │\n",
                            "│ Residual SMD Denominator              │ population                                                              │\n",
                            "│ Lower Score Favorable                 │ True                                                                    │\n",
                            "│ Affected Groups                       │                                                                         │\n",
                            "│ Affected Reference                    │                                                                         │\n",
                            "│ Affected Categories                   │                                                                         │\n",
                            "└───────────────────────────────────────┴─────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────┬─────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                      │ Black, Asian, Native American, Hispanic, Female                         │\n",
                            "│ Reference Groups                      │ White, White, White, Non-Hispanic, Male                                 │\n",
                            "│ Group Categories                      │ Race, Race, Race, Ethnicity, Sex                                        │\n",
                            "│ Residual SMD Threshold                │ 30.0                                                                    │\n",
                            "│ Residual SMD Denominator              │ population                                                              │\n",
                            "│ Lower Score Favorable                 │ True                                                                    │\n",
                            "│ Affected Groups                       │                                                                         │\n",
                            "│ Affected Reference                    │                                                                         │\n",
                            "│ Affected Categories                   │                                                                         │\n",
                            "└───────────────────────────────────────┴─────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Residual Standardized Mean Difference Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 13.68%, Race: 13.56%, Sex: 46.88%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Average Prediction</th>\n",
                            "      <th>Average Label</th>\n",
                            "      <th>Average Residual</th>\n",
                            "      <th>Difference in Average Residual</th>\n",
                            "      <th>Std. Dev. of Residuals</th>\n",
                            "      <th>Residual SMD</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>0.047486</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000472</td>\n",
                            "      <td>0.000265</td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td>5.445415</td>\n",
                            "      <td>0.337</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>0.045165</td>\n",
                            "      <td>0.04</td>\n",
                            "      <td>-0.000769</td>\n",
                            "      <td>-0.000976</td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td>-20.069038</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>0.047487</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000628</td>\n",
                            "      <td>0.000421</td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td>8.646488</td>\n",
                            "      <td>0.699</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>0.046833</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000207</td>\n",
                            "      <td></td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>0.047667</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.001097</td>\n",
                            "      <td>0.001046</td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td>21.513889</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>0.046634</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000051</td>\n",
                            "      <td></td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>0.047268</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000435</td>\n",
                            "      <td>0.000246</td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td>5.047722</td>\n",
                            "      <td>0.229</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>0.046873</td>\n",
                            "      <td>0.05</td>\n",
                            "      <td>0.000189</td>\n",
                            "      <td></td>\n",
                            "      <td>0.004864</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "rsmd"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Segmented Adverse Impact Ratio"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Generate example income segments.\n",
                "segments = pd.qcut(data[\"Income\"], q=[0.0, 1 / 3, 2 / 3, 1.0])\n",
                "categories = segments.cat.categories.to_series()\n",
                "categories = pd.Series(\n",
                "    [\"Low Income\", \"Mid Income\", \"High Income\"], index=categories.index\n",
                ")\n",
                "segments.replace(categories.to_dict(), inplace=True)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [],
            "source": [
                "sair = sd.segmented_adverse_impact_ratio(\n",
                "    outcome=binary_outcome,\n",
                "    air_threshold=0.8,\n",
                "    percent_difference_threshold=0.0,\n",
                "    fdr_threshold=0.2,\n",
                "    segment=segments,\n",
                "    **reused_arguments,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Segmented Adverse Impact Ratio"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ FDR Threshold                             │ 0.2                                                                 │\n",
                            "│ Affected Groups                           │ Hispanic                                                            │\n",
                            "│ Affected Reference                        │ Non-Hispanic                                                        │\n",
                            "│ Affected Categories                       │ Ethnicity                                                           │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌───────────────────────────────────────────┬─────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                          │ Black, Asian, Native American, Hispanic, Female                     │\n",
                            "│ Reference Groups                          │ White, White, White, Non-Hispanic, Male                             │\n",
                            "│ Group Categories                          │ Race, Race, Race, Ethnicity, Sex                                    │\n",
                            "│ AIR Threshold                             │ 0.8                                                                 │\n",
                            "│ Percent Difference Threshold              │ 0.0                                                                 │\n",
                            "│ FDR Threshold                             │ 0.2                                                                 │\n",
                            "│ Affected Groups                           │ Hispanic                                                            │\n",
                            "│ Affected Reference                        │ Non-Hispanic                                                        │\n",
                            "│ Affected Categories                       │ Ethnicity                                                           │\n",
                            "└───────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Segmented Adverse Impact Ratio Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Segment</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Observations</th>\n",
                            "      <th>Percent Missing</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Favorable</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "      <th>Percent Difference Favorable</th>\n",
                            "      <th>AIR</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>BH Critical Value</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,510</td>\n",
                            "      <td>11.80%</td>\n",
                            "      <td>151.0</td>\n",
                            "      <td>33.0</td>\n",
                            "      <td>21.85%</td>\n",
                            "      <td>4.18%</td>\n",
                            "      <td>0.839</td>\n",
                            "      <td>0.280</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,414</td>\n",
                            "      <td>13.14%</td>\n",
                            "      <td>117.0</td>\n",
                            "      <td>56.0</td>\n",
                            "      <td>47.86%</td>\n",
                            "      <td>5.02%</td>\n",
                            "      <td>0.905</td>\n",
                            "      <td>0.332</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,398</td>\n",
                            "      <td>15.78%</td>\n",
                            "      <td>72.0</td>\n",
                            "      <td>52.0</td>\n",
                            "      <td>72.22%</td>\n",
                            "      <td>5.15%</td>\n",
                            "      <td>0.933</td>\n",
                            "      <td>0.313</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,510</td>\n",
                            "      <td>11.80%</td>\n",
                            "      <td>69.0</td>\n",
                            "      <td>22.0</td>\n",
                            "      <td>31.88%</td>\n",
                            "      <td>-5.85%</td>\n",
                            "      <td>1.225</td>\n",
                            "      <td>0.325</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,414</td>\n",
                            "      <td>13.14%</td>\n",
                            "      <td>89.0</td>\n",
                            "      <td>67.0</td>\n",
                            "      <td>75.28%</td>\n",
                            "      <td>-22.39%</td>\n",
                            "      <td>1.423</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,398</td>\n",
                            "      <td>15.78%</td>\n",
                            "      <td>169.0</td>\n",
                            "      <td>154.0</td>\n",
                            "      <td>91.12%</td>\n",
                            "      <td>-13.75%</td>\n",
                            "      <td>1.178</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,510</td>\n",
                            "      <td>11.80%</td>\n",
                            "      <td>9.0</td>\n",
                            "      <td>3.0</td>\n",
                            "      <td>33.33%</td>\n",
                            "      <td>-7.30%</td>\n",
                            "      <td>1.280</td>\n",
                            "      <td>0.704</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,414</td>\n",
                            "      <td>13.14%</td>\n",
                            "      <td>6.0</td>\n",
                            "      <td>4.0</td>\n",
                            "      <td>66.67%</td>\n",
                            "      <td>-13.78%</td>\n",
                            "      <td>1.261</td>\n",
                            "      <td>0.690</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,398</td>\n",
                            "      <td>15.78%</td>\n",
                            "      <td>5.0</td>\n",
                            "      <td>2.0</td>\n",
                            "      <td>40.00%</td>\n",
                            "      <td>37.37%</td>\n",
                            "      <td>0.517</td>\n",
                            "      <td>0.081</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,510</td>\n",
                            "      <td>11.80%</td>\n",
                            "      <td>1,279.0</td>\n",
                            "      <td>333.0</td>\n",
                            "      <td>26.04%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,414</td>\n",
                            "      <td>13.14%</td>\n",
                            "      <td>1,195.0</td>\n",
                            "      <td>632.0</td>\n",
                            "      <td>52.89%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>1,398</td>\n",
                            "      <td>15.78%</td>\n",
                            "      <td>1,149.0</td>\n",
                            "      <td>889.0</td>\n",
                            "      <td>77.37%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,527</td>\n",
                            "      <td>10.81%</td>\n",
                            "      <td>242.0</td>\n",
                            "      <td>40.0</td>\n",
                            "      <td>16.53%</td>\n",
                            "      <td>10.86%</td>\n",
                            "      <td>0.603</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,393</td>\n",
                            "      <td>14.43%</td>\n",
                            "      <td>183.0</td>\n",
                            "      <td>74.0</td>\n",
                            "      <td>40.44%</td>\n",
                            "      <td>16.09%</td>\n",
                            "      <td>0.715</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,396</td>\n",
                            "      <td>15.90%</td>\n",
                            "      <td>83.0</td>\n",
                            "      <td>53.0</td>\n",
                            "      <td>63.86%</td>\n",
                            "      <td>15.05%</td>\n",
                            "      <td>0.809</td>\n",
                            "      <td>0.002</td>\n",
                            "      <td></td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,527</td>\n",
                            "      <td>10.81%</td>\n",
                            "      <td>1,285.0</td>\n",
                            "      <td>352.0</td>\n",
                            "      <td>27.39%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,393</td>\n",
                            "      <td>14.43%</td>\n",
                            "      <td>1,210.0</td>\n",
                            "      <td>684.0</td>\n",
                            "      <td>56.53%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>1,396</td>\n",
                            "      <td>15.90%</td>\n",
                            "      <td>1,313.0</td>\n",
                            "      <td>1,036.0</td>\n",
                            "      <td>78.90%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,263</td>\n",
                            "      <td>26.23%</td>\n",
                            "      <td>528.0</td>\n",
                            "      <td>107.0</td>\n",
                            "      <td>20.27%</td>\n",
                            "      <td>6.27%</td>\n",
                            "      <td>0.764</td>\n",
                            "      <td>0.012</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>815</td>\n",
                            "      <td>49.94%</td>\n",
                            "      <td>316.0</td>\n",
                            "      <td>160.0</td>\n",
                            "      <td>50.63%</td>\n",
                            "      <td>8.89%</td>\n",
                            "      <td>0.851</td>\n",
                            "      <td>0.016</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>578</td>\n",
                            "      <td>65.18%</td>\n",
                            "      <td>190.0</td>\n",
                            "      <td>147.0</td>\n",
                            "      <td>77.37%</td>\n",
                            "      <td>4.07%</td>\n",
                            "      <td>0.950</td>\n",
                            "      <td>0.268</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Low Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,263</td>\n",
                            "      <td>26.23%</td>\n",
                            "      <td>735.0</td>\n",
                            "      <td>195.0</td>\n",
                            "      <td>26.53%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>Mid Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>815</td>\n",
                            "      <td>49.94%</td>\n",
                            "      <td>499.0</td>\n",
                            "      <td>297.0</td>\n",
                            "      <td>59.52%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td>High Income</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>578</td>\n",
                            "      <td>65.18%</td>\n",
                            "      <td>388.0</td>\n",
                            "      <td>316.0</td>\n",
                            "      <td>81.44%</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>CMH Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.899</td>\n",
                            "      <td>0.071</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>Breslow-Day Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.976</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>CMH Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>1.241</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>Breslow-Day Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.058</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>CMH Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.959</td>\n",
                            "      <td>0.849</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>Breslow-Day Test</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>4,322</td>\n",
                            "      <td>13.56%</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.107</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>CMH Test</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.710</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Breslow-Day Test</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>4,316</td>\n",
                            "      <td>13.68%</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.929</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>CMH Test</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.857</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Breslow-Day Test</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>2,656</td>\n",
                            "      <td>46.88%</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td>0.906</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
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                            "<IPython.core.display.HTML object>"
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "sair"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Custom Disparity Metric"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can recreate the AIR as an example of how custom disparity metrics\n",
                "can be used. Many more advanced disparity metrics can benefit from the\n",
                "framework and additional validation provided by the custom disparity\n",
                "metric interface."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Define a function for calculating perecent favorable.\n",
                "def percent_favorable(outcome, sample_weight):\n",
                "    return (outcome.mul(sample_weight, axis=0)).sum(\n",
                "        axis=0, min_count=1\n",
                "    ) / sample_weight.sum(axis=0, min_count=1)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Custom Disparity Metric"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ percent_favorable                                                         │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │ Black, Hispanic, Female                                                   │\n",
                            "│ Affected Reference                  │ White, Non-Hispanic, Male                                                 │\n",
                            "│ Affected Categories                 │ Race, Ethnicity, Sex                                                      │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ percent_favorable                                                         │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │ Black, Hispanic, Female                                                   │\n",
                            "│ Affected Reference                  │ White, Non-Hispanic, Male                                                 │\n",
                            "│ Affected Categories                 │ Race, Ethnicity, Sex                                                      │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Custom Disparity Metric Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 13.68%, Race: 13.56%, Sex: 46.88%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>PERCENT FAVORABLE</th>\n",
                            "      <th>Difference</th>\n",
                            "      <th>Ratio</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>0.414706</td>\n",
                            "      <td>0.097</td>\n",
                            "      <td>0.810</td>\n",
                            "      <td>0.001</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>0.743119</td>\n",
                            "      <td>-0.231</td>\n",
                            "      <td>1.452</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>0.450000</td>\n",
                            "      <td>0.062</td>\n",
                            "      <td>0.879</td>\n",
                            "      <td>0.657</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>0.511731</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>0.328740</td>\n",
                            "      <td>0.215</td>\n",
                            "      <td>0.604</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>0.544118</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>0.400387</td>\n",
                            "      <td>0.098</td>\n",
                            "      <td>0.804</td>\n",
                            "      <td>0.000</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>0.498150</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "custom_air = sd.custom_disparity_metric(\n",
                "    outcome=binary_outcome,\n",
                "    metric=percent_favorable,\n",
                "    difference_calculation=sd.types.DifferenceCalculation.REFERENCE_MINUS_PROTECTED,\n",
                "    difference_threshold=lambda value: value > 0.0,\n",
                "    ratio_calculation=sd.types.RatioCalculation.PROTECTED_OVER_REFERENCE,\n",
                "    ratio_threshold=lambda value: value < 1.0,\n",
                "    statistical_significance_test=sd.types.StatSigTest.FISHERS_OR_CHI_SQUARED,\n",
                "    **reused_arguments,\n",
                ")\n",
                "\n",
                "custom_air"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Note that the values from the custom disparity metric summary correspond\n",
                "to those of the original AIR calculation."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>PERCENT FAVORABLE</th>\n",
                            "      <th>Percent Favorable</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Group</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>Black</th>\n",
                            "      <td>0.414706</td>\n",
                            "      <td>0.414706</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Asian</th>\n",
                            "      <td>0.743119</td>\n",
                            "      <td>0.743119</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Native American</th>\n",
                            "      <td>0.450000</td>\n",
                            "      <td>0.450000</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>White</th>\n",
                            "      <td>0.511731</td>\n",
                            "      <td>0.511731</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Hispanic</th>\n",
                            "      <td>0.328740</td>\n",
                            "      <td>0.328740</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Non-Hispanic</th>\n",
                            "      <td>0.544118</td>\n",
                            "      <td>0.544118</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Female</th>\n",
                            "      <td>0.400387</td>\n",
                            "      <td>0.400387</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Male</th>\n",
                            "      <td>0.498150</td>\n",
                            "      <td>0.498150</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                 PERCENT FAVORABLE  Percent Favorable\n",
                            "Group                                                \n",
                            "Black                     0.414706           0.414706\n",
                            "Asian                     0.743119           0.743119\n",
                            "Native American           0.450000           0.450000\n",
                            "White                     0.511731           0.511731\n",
                            "Hispanic                  0.328740           0.328740\n",
                            "Non-Hispanic              0.544118           0.544118\n",
                            "Female                    0.400387           0.400387\n",
                            "Male                      0.498150           0.498150"
                        ]
                    },
                    "execution_count": 26,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pd.concat(\n",
                "    (\n",
                "        custom_air.summary_table[\"PERCENT FAVORABLE\"],\n",
                "        air.summary_table[sd.const.PERCENT_FAVORABLE],\n",
                "    ),\n",
                "    axis=1,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>Ratio</th>\n",
                            "      <th>AIR</th>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Group</th>\n",
                            "      <th></th>\n",
                            "      <th></th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>Black</th>\n",
                            "      <td>0.810399</td>\n",
                            "      <td>0.810399</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Asian</th>\n",
                            "      <td>1.452169</td>\n",
                            "      <td>1.452169</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Native American</th>\n",
                            "      <td>0.879369</td>\n",
                            "      <td>0.879369</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>White</th>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Hispanic</th>\n",
                            "      <td>0.604171</td>\n",
                            "      <td>0.604171</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Non-Hispanic</th>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Female</th>\n",
                            "      <td>0.803747</td>\n",
                            "      <td>0.803747</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>Male</th>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "                    Ratio       AIR\n",
                            "Group                              \n",
                            "Black            0.810399  0.810399\n",
                            "Asian            1.452169  1.452169\n",
                            "Native American  0.879369  0.879369\n",
                            "White                 NaN       NaN\n",
                            "Hispanic         0.604171  0.604171\n",
                            "Non-Hispanic          NaN       NaN\n",
                            "Female           0.803747  0.803747\n",
                            "Male                  NaN       NaN"
                        ]
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "pd.concat(\n",
                "    (\n",
                "        custom_air.summary_table[sd.const.RATIO],\n",
                "        air.summary_table[sd.const.AIR_VALUES],\n",
                "    ),\n",
                "    axis=1,\n",
                ")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Confusion Matrix Metrics"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "SolasAI-provides ready-made implementations of confusion matrix metrics\n",
                "by wrapping around the custom disparity metric."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "(<cyfunction false_discovery_rate at 0x7feb4c3cb5e0>,\n",
                            " <cyfunction false_negative_rate at 0x7fe9f3bd8ad0>,\n",
                            " <cyfunction false_positive_rate at 0x7fe9f3bd9f20>,\n",
                            " <cyfunction precision at 0x7fe9f3c00790>,\n",
                            " <cyfunction true_negative_rate at 0x7fe9f3c2f030>,\n",
                            " <cyfunction true_positive_rate at 0x7fe9f3c58520>)"
                        ]
                    },
                    "execution_count": 28,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "(\n",
                "    sd.false_discovery_rate,\n",
                "    sd.false_negative_rate,\n",
                "    sd.false_positive_rate,\n",
                "    sd.precision,\n",
                "    sd.true_negative_rate,\n",
                "    sd.true_positive_rate,\n",
                ")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Precision"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision_score                                                           │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Difference Threshold                │ 0.0                                                                       │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Ratio Threshold                     │ 1.0                                                                       │\n",
                            "│ Affected Groups                     │ Black, Native American, Hispanic, Female                                  │\n",
                            "│ Affected Reference                  │ White, White, Non-Hispanic, Male                                          │\n",
                            "│ Affected Categories                 │ Race, Race, Ethnicity, Sex                                                │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision_score                                                           │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Difference Threshold                │ 0.0                                                                       │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Ratio Threshold                     │ 1.0                                                                       │\n",
                            "│ Affected Groups                     │ Black, Native American, Hispanic, Female                                  │\n",
                            "│ Affected Reference                  │ White, White, Non-Hispanic, Male                                          │\n",
                            "│ Affected Categories                 │ Race, Race, Ethnicity, Sex                                                │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Precision Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 0.00%, Race: 0.00%, Sex: 0.00%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Total Label</th>\n",
                            "      <th>Average Label</th>\n",
                            "      <th>PRECISION SCORE</th>\n",
                            "      <th>Difference</th>\n",
                            "      <th>Ratio</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>139.0</td>\n",
                            "      <td>0.41</td>\n",
                            "      <td>0.511</td>\n",
                            "      <td>0.105</td>\n",
                            "      <td>0.829</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>210.0</td>\n",
                            "      <td>0.64</td>\n",
                            "      <td>0.724</td>\n",
                            "      <td>-0.108</td>\n",
                            "      <td>1.176</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>10.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.556</td>\n",
                            "      <td>0.060</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,809.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.616</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>200.0</td>\n",
                            "      <td>0.39</td>\n",
                            "      <td>0.563</td>\n",
                            "      <td>0.069</td>\n",
                            "      <td>0.891</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,976.0</td>\n",
                            "      <td>0.52</td>\n",
                            "      <td>0.632</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>451.0</td>\n",
                            "      <td>0.44</td>\n",
                            "      <td>0.560</td>\n",
                            "      <td>0.063</td>\n",
                            "      <td>0.898</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>803.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.624</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
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                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "precision_arguments = reused_arguments.copy()\n",
                "precision_arguments[\"group_data\"] = precision_arguments[\"group_data\"].fillna(0.0)\n",
                "precision = sd.precision(\n",
                "    outcome=binary_outcome,\n",
                "    label=binary_label,\n",
                "    ratio_threshold=1.0,\n",
                "    difference_threshold=0.0,\n",
                "    **precision_arguments,\n",
                ")\n",
                "precision"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "``sd.precision`` is essentially a convience wrapper for the\n",
                "following call to the custom disparity metric."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Custom Disparity Metric"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision                                                                 │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │                                                                           │\n",
                            "│ Affected Reference                  │                                                                           │\n",
                            "│ Affected Categories                 │                                                                           │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision                                                                 │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │                                                                           │\n",
                            "│ Affected Reference                  │                                                                           │\n",
                            "│ Affected Categories                 │                                                                           │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Custom Disparity Metric Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 0.00%, Race: 0.00%, Sex: 0.00%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Total Label</th>\n",
                            "      <th>Average Label</th>\n",
                            "      <th>PRECISION</th>\n",
                            "      <th>Difference</th>\n",
                            "      <th>Ratio</th>\n",
                            "      <th>P-Values</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>139.0</td>\n",
                            "      <td>0.41</td>\n",
                            "      <td>0.510638</td>\n",
                            "      <td>0.105</td>\n",
                            "      <td>0.829</td>\n",
                            "      <td>0.107</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>210.0</td>\n",
                            "      <td>0.64</td>\n",
                            "      <td>0.724280</td>\n",
                            "      <td>-0.108</td>\n",
                            "      <td>1.176</td>\n",
                            "      <td>0.023</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>10.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.555556</td>\n",
                            "      <td>0.060</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td></td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,809.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.615965</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>200.0</td>\n",
                            "      <td>0.39</td>\n",
                            "      <td>0.562874</td>\n",
                            "      <td>0.069</td>\n",
                            "      <td>0.891</td>\n",
                            "      <td>0.218</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,976.0</td>\n",
                            "      <td>0.52</td>\n",
                            "      <td>0.631757</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>451.0</td>\n",
                            "      <td>0.44</td>\n",
                            "      <td>0.560386</td>\n",
                            "      <td>0.063</td>\n",
                            "      <td>0.898</td>\n",
                            "      <td>0.117</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>803.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.623762</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "def precision(y_true, y_pred, sample_weight):\n",
                "    from sklearn.metrics import confusion_matrix\n",
                "\n",
                "    tn, fp, fn, tp = confusion_matrix(\n",
                "        y_true=y_true,\n",
                "        y_pred=y_pred,\n",
                "        sample_weight=sample_weight,\n",
                "    ).ravel()\n",
                "\n",
                "    return tp / (tp + fp)\n",
                "\n",
                "\n",
                "sd.custom_disparity_metric(\n",
                "    outcome=binary_outcome,\n",
                "    metric=precision,\n",
                "    label=binary_label,\n",
                "    difference_calculation=sd.types.DifferenceCalculation.REFERENCE_MINUS_PROTECTED,\n",
                "    difference_threshold=lambda difference: difference > 0.0,\n",
                "    ratio_calculation=sd.types.RatioCalculation.PROTECTED_OVER_REFERENCE,\n",
                "    ratio_threshold=lambda ratio: ratio < 1.0,\n",
                "    statistical_significance_test=sd.types.StatSigTest.BOOTSTRAPPING,\n",
                "    p_value_threshold=0.05,\n",
                "    **precision_arguments,\n",
                ")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Additionally, statistical significance can be set to ``None`` for custom\n",
                "disparity metrics, causing statistical significance calculations to be\n",
                "skipped."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/markdown": [
                            "## Disparity Calculation: Custom Disparity Metric"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision                                                                 │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │ Black, Native American, Hispanic, Female                                  │\n",
                            "│ Affected Reference                  │ White, White, Non-Hispanic, Male                                          │\n",
                            "│ Affected Categories                 │ Race, Race, Ethnicity, Sex                                                │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n",
                            "</pre>\n"
                        ],
                        "text/plain": [
                            "┌─────────────────────────────────────┬───────────────────────────────────────────────────────────────────────────┐\n",
                            "│ Protected Groups                    │ Black, Asian, Native American, Hispanic, Female                           │\n",
                            "│ Reference Groups                    │ White, White, White, Non-Hispanic, Male                                   │\n",
                            "│ Group Categories                    │ Race, Race, Race, Ethnicity, Sex                                          │\n",
                            "│ Metric                              │ precision                                                                 │\n",
                            "│ Difference Calculation              │ reference_minus_protected                                                 │\n",
                            "│ Ratio Calculation                   │ protected_over_reference                                                  │\n",
                            "│ Affected Groups                     │ Black, Native American, Hispanic, Female                                  │\n",
                            "│ Affected Reference                  │ White, White, Non-Hispanic, Male                                          │\n",
                            "│ Affected Categories                 │ Race, Race, Ethnicity, Sex                                                │\n",
                            "└─────────────────────────────────────┴───────────────────────────────────────────────────────────────────────────┘\n"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "## Custom Disparity Metric Summary Table"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/markdown": [
                            "\\* Percent Missing: Ethnicity: 0.00%, Race: 0.00%, Sex: 0.00%"
                        ],
                        "text/plain": [
                            "<IPython.core.display.Markdown object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table class=\"dataframe disparity-table\" id=\"disp-output\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th>Group</th>\n",
                            "      <th>Reference Group</th>\n",
                            "      <th>Group Category</th>\n",
                            "      <th>Total</th>\n",
                            "      <th>Total Label</th>\n",
                            "      <th>Average Label</th>\n",
                            "      <th>PRECISION</th>\n",
                            "      <th>Difference</th>\n",
                            "      <th>Ratio</th>\n",
                            "      <th>Practically Significant</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <td>Black</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>340.0</td>\n",
                            "      <td>139.0</td>\n",
                            "      <td>0.41</td>\n",
                            "      <td>0.510638</td>\n",
                            "      <td>0.105</td>\n",
                            "      <td>0.829</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Asian</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>327.0</td>\n",
                            "      <td>210.0</td>\n",
                            "      <td>0.64</td>\n",
                            "      <td>0.724280</td>\n",
                            "      <td>-0.108</td>\n",
                            "      <td>1.176</td>\n",
                            "      <td>No</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Native American</td>\n",
                            "      <td>White</td>\n",
                            "      <td>Race</td>\n",
                            "      <td>20.0</td>\n",
                            "      <td>10.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.555556</td>\n",
                            "      <td>0.060</td>\n",
                            "      <td>0.902</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>White</td>\n",
                            "      <td></td>\n",
                            "      <td>Race</td>\n",
                            "      <td>3,623.0</td>\n",
                            "      <td>1,809.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.615965</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Hispanic</td>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>508.0</td>\n",
                            "      <td>200.0</td>\n",
                            "      <td>0.39</td>\n",
                            "      <td>0.562874</td>\n",
                            "      <td>0.069</td>\n",
                            "      <td>0.891</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Non-Hispanic</td>\n",
                            "      <td></td>\n",
                            "      <td>Ethnicity</td>\n",
                            "      <td>3,808.0</td>\n",
                            "      <td>1,976.0</td>\n",
                            "      <td>0.52</td>\n",
                            "      <td>0.631757</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Female</td>\n",
                            "      <td>Male</td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,034.0</td>\n",
                            "      <td>451.0</td>\n",
                            "      <td>0.44</td>\n",
                            "      <td>0.560386</td>\n",
                            "      <td>0.063</td>\n",
                            "      <td>0.898</td>\n",
                            "      <td>Yes</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <td>Male</td>\n",
                            "      <td></td>\n",
                            "      <td>Sex</td>\n",
                            "      <td>1,622.0</td>\n",
                            "      <td>803.0</td>\n",
                            "      <td>0.50</td>\n",
                            "      <td>0.623762</td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "      <td></td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "<IPython.core.display.HTML object>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
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"
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "sd.custom_disparity_metric(\n",
                "    outcome=binary_outcome,\n",
                "    metric=precision,\n",
                "    label=binary_label,\n",
                "    difference_calculation=sd.types.DifferenceCalculation.REFERENCE_MINUS_PROTECTED,\n",
                "    difference_threshold=lambda difference: difference > 0.0,\n",
                "    ratio_calculation=sd.types.RatioCalculation.PROTECTED_OVER_REFERENCE,\n",
                "    ratio_threshold=lambda ratio: ratio < 1.0,\n",
                "    statistical_significance_test=None,\n",
                "    p_value_threshold=0.05,\n",
                "    **precision_arguments,\n",
                ")"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.8.13 ('.venv': poetry)",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.10.6"
        },
        "vscode": {
            "interpreter": {
                "hash": "c7f58fa8a5cb6293260375d5a8f9a36ec50b86cdb24939052bb9f031284f2b9c"
            }
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}