AustinRochford/pymc3_sharks.ipynb

## pymc3_sharks.ipynb
{
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  {
   "cell_type": "markdown",
   "id": "63074124",
   "metadata": {},
   "source": [
    "---\n",
    "title: Modeling Shark Attacks in Python with PyMC3\n",
    "tags: Sharks, PyMC3, Bayesian Statistics\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b53455b",
   "metadata": {},
   "source": [
    "On a recent visit to [Cape May, New Jersey](https://www.capemay.com/) I bought and read [_Shark Attacks of the Jersey Shore: A History_](https://www.amazon.com/dp/B085N5K6BQ), which is an interesting account of verified shark attacks in New Jersey since the nineteenth century.\n",
    "\n",
    "<center><img src=\"https://img.thriftbooks.com/api/images/i/l/B0471B8D82576AC3D1ADE7F48D84273FE9A59A19.jpg\"></center>\n",
    "\n",
    "While I was reading the book, I grew curious about modeling the frequency of shark attacks and went on the hunt for relevant data.  There have not been many recent shark attacks in New Jersey, so I broadened my search and found the [Global Shark Attack File](http://www.sharkattackfile.net/) (GSAF).  The GSAF provides a fairly detailed [incident log](http://www.sharkattackfile.net/incidentlog.htm) which appears to be updated every few days.  This post presents an analysis of the GSAF data in Python using PyMC3.  (It is worth mentioning that I am not a shark biologist, and I am sure specialists have produced much more useful and accurate models of shark attacks. Still, this seems like a fun small project as long as we don't take the results too seriously.)\n",
    "\n",
    "First we make some Python imports and do a bit of housekeeping."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "be52061b",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d2721b78",
   "metadata": {},
   "outputs": [],
   "source": [
    "from functools import reduce\n",
    "from warnings import filterwarnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d1b4f88d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "You are running the v4 development version of PyMC3 which currently still lacks key features. You probably want to use the stable v3 instead which you can either install via conda or find on the v3 GitHub branch: https://github.com/pymc-devs/pymc3/tree/v3\n"
     ]
    }
   ],
   "source": [
    "from aesara import tensor as at\n",
    "import arviz as az\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pymc3 as pm\n",
    "import seaborn as sns\n",
    "import us"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1fd4bf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "filterwarnings('ignore', category=UserWarning, module='aesara')\n",
    "filterwarnings('ignore', category=UserWarning, module='arviz')\n",
    "filterwarnings('ignore', category=UserWarning, module='pandas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "926f6304",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (8, 6)\n",
    "sns.set(color_codes=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "880f20c6",
   "metadata": {},
   "source": [
    "## Load and Transform the Data\n",
    "\n",
    "We begin by downloading the data from the GSAF and loading the relevant columns into a Pandas data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "016c7ded",
   "metadata": {},
   "outputs": [],
   "source": [
    "%%bash\n",
    "DATA_URL=http://www.sharkattackfile.net/spreadsheets/GSAF5.xls\n",
    "DATA_DEST=./data/GSAF5.xls\n",
    "\n",
    "if [[ ! -e $DATA_DEST ]];\n",
    "then\n",
    "    wget -q -O $DATA_DEST $DATA_URL\n",
    "fi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b1af1a77",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "full_df = pd.read_excel('./data/GSAF5.xls',\n",
    "                        usecols=[\n",
    "                           \"Case Number\", \"Date\", \"Type\",\n",
    "                           \"Country\", \"Area\", \"Location\",\n",
    "                           \"Fatal (Y/N)\"\n",
    "                        ],\n",
    "                        index_col=\"Case Number\")\n",
    "full_df[\"Date\"] = full_df[\"Date\"].apply(pd.to_datetime, errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "738ae86b",
   "metadata": {},
   "outputs": [
    {
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       "      <td>N</td>\n",
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       "                   Date        Type    Country               Area  \\\n",
       "Case Number                                                         \n",
       "2021.06.14.b 2021-06-14  Unprovoked        USA            Florida   \n",
       "2021.06.14.a 2021-06-14  Unprovoked        USA            Florida   \n",
       "2021.06.12   2021-06-12    Provoked    ENGLAND        West Sussex   \n",
       "2021.06.11   2021-06-11  Unprovoked  AUSTRALIA  Western Australia   \n",
       "2021.05.23   2021-05-23  Unprovoked        USA     South Carolina   \n",
       "\n",
       "                                                Location Fatal (Y/N)  \n",
       "Case Number                                                           \n",
       "2021.06.14.b            New Smyrna Beach, Volusia County           N  \n",
       "2021.06.14.a            New Smyrna Beach, Volusia County           N  \n",
       "2021.06.12                                 Littlehampton           N  \n",
       "2021.06.11                             Five Fingers Reef           N  \n",
       "2021.05.23    Burkes Beach, Hilton Head, Beaufort County           N  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e35bce45",
   "metadata": {},
   "outputs": [
    {
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       "            Date Type Country Area Location Fatal (Y/N)\n",
       "Case Number                                            \n",
       "NaN          NaT  NaN     NaN  NaN      NaN         NaN\n",
       "NaN          NaT  NaN     NaN  NaN      NaN         NaN\n",
       "NaN          NaT  NaN     NaN  NaN      NaN         NaN\n",
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       "xx           NaT  NaN     NaN  NaN      NaN         NaN"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "full_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41c3f964",
   "metadata": {},
   "source": [
    "We can already see by inspecting the data frame that there will be quite a bit of missing data to handle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7e521a5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6595373706846449"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.index.isnull().mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0f76ddfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           0.775621\n",
       "Type           0.742880\n",
       "Country        0.744391\n",
       "Area           0.760587\n",
       "Location       0.763726\n",
       "Fatal (Y/N)    0.763842\n",
       "dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.isnull().mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37e74956",
   "metadata": {},
   "source": [
    "We begin by filtering out rows with missing data in important columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4f775da1",
   "metadata": {},
   "outputs": [],
   "source": [
    "FILTERS = [\n",
    "    ~full_df.index.isnull(),\n",
    "    ~full_df[\"Date\"].isnull(),\n",
    "    ~full_df[\"Type\"].isnull()\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "afd49e3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           0.000000\n",
       "Type           0.000000\n",
       "Country        0.004843\n",
       "Area           0.052413\n",
       "Location       0.061927\n",
       "Fatal (Y/N)    0.079398\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(full_df[reduce(np.logical_and, FILTERS)]\n",
    "        .isnull()\n",
    "        .mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e22e359c",
   "metadata": {},
   "source": [
    "We see now that there is significantly less missing data, so we proceed to examine various aspects of the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7af59cab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (full_df[reduce(np.logical_and, FILTERS)]\n",
    "             [\"Type\"]\n",
    "             .value_counts()\n",
    "             .plot(kind='barh'))\n",
    "\n",
    "ax.set_xscale('log');\n",
    "ax.set_xlabel(\"Number of attacks\");\n",
    "\n",
    "ax.invert_yaxis();\n",
    "ax.set_ylabel(\"Type of attack\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d799505",
   "metadata": {},
   "source": [
    "Unprovoked attacks are by far the most common.  We will focus our analysis on this type of attack."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "15351a35",
   "metadata": {},
   "outputs": [],
   "source": [
    "FILTERS.append(full_df[\"Type\"] == \"Unprovoked\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "43b26927",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x2160 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (full_df[reduce(np.logical_and, FILTERS)]\n",
    "             [\"Country\"]\n",
    "             .value_counts()\n",
    "             .plot(kind='barh', figsize=(8, 30)))\n",
    "\n",
    "ax.set_xscale('log');\n",
    "ax.set_xlabel(\"Number of unprovoked attacks\");\n",
    "\n",
    "ax.invert_yaxis();\n",
    "ax.set_ylabel(\"Country\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c91f2b2",
   "metadata": {},
   "source": [
    "While the data contain information about attacks in many countries, we will focus on the United States.  This focus is due partially to the fact that I was in New Jersey when considering this problem, and partially due to the fact that finding standardized data across countries can be more challenging than within different regions of a single country."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "47e4a1e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "FILTERS.append(full_df[\"Country\"] == \"USA\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "942c7111",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (full_df[reduce(np.logical_and, FILTERS)]\n",
    "             [\"Area\"]\n",
    "             .value_counts()\n",
    "             .plot(kind='barh', figsize=(8, 12)))\n",
    "\n",
    "ax.set_xscale('log');\n",
    "ax.set_xlabel(\"Number of unprovoked attacks\");\n",
    "\n",
    "ax.invert_yaxis();\n",
    "ax.set_ylabel(\"Country\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a5385ad",
   "metadata": {},
   "source": [
    "We see that for unprovoked attacks in the United States, `Area` roughly corresponds to state, with some territories included as well.  Since most of the territories appear very rarely, we restrict our analysis to states so that it is easier to find information about them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9ffbde72",
   "metadata": {},
   "outputs": [],
   "source": [
    "FILTERS.append(\n",
    "    full_df[\"Area\"].isin([\n",
    "        state.name for state in us.states.STATES\n",
    "    ])\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7443e37d",
   "metadata": {},
   "source": [
    "Finally we look at how the number of shark attacks has changed over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8404e09c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = (full_df.assign(Year=full_df[\"Date\"].dt.year)\n",
    "             [reduce(np.logical_and, FILTERS)]\n",
    "             [\"Year\"]\n",
    "             .value_counts()\n",
    "             .sort_index()\n",
    "             .plot())\n",
    "\n",
    "ax.set_xlabel(\"Year\");\n",
    "ax.set_ylabel(\"Unprovoked shark attacks\\nin the United States\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "343ee295",
   "metadata": {},
   "source": [
    "We see that the number of shark attacks has increased over time.  This phenomenon is likely partially due to population growth and partially due to improved reporting mechanisms for shark attacks.  We willk keep a relatively modern focus an analysze shark attacks between 1960 and 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f9d3cbf6",
   "metadata": {},
   "outputs": [],
   "source": [
    "YEAR_RANGE = (1960, 2020)\n",
    "\n",
    "FILTERS.append(full_df[\"Date\"].dt.year.between(*YEAR_RANGE))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "007fb1ed",
   "metadata": {},
   "source": [
    "Now that we have defined the set of attacks we will model, we produce another data frame including only these attacks and make some light transformations of the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "17debe46",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = (full_df[reduce(np.logical_and, FILTERS)]\n",
    "             .copy()\n",
    "             .rename(columns={\"Area\": \"State\"}))\n",
    "df[\"Year\"] = df[\"Date\"].dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "826dbf0e",
   "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>Date</th>\n",
       "      <th>Type</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>Location</th>\n",
       "      <th>Fatal (Y/N)</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Case Number</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020.12.30</th>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>California</td>\n",
       "      <td>Coronado, San Diego County</td>\n",
       "      <td>N</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020.12.08</th>\n",
       "      <td>2020-12-08</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>Honolua Bay</td>\n",
       "      <td>Y</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020.12.06.b</th>\n",
       "      <td>2020-12-06</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>Seaside Cove, Clatsop County</td>\n",
       "      <td>N</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020.11.26</th>\n",
       "      <td>2020-11-26</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>Maui</td>\n",
       "      <td>N</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020.10.31</th>\n",
       "      <td>2020-10-31</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Florida</td>\n",
       "      <td>Ormond Beach</td>\n",
       "      <td>N</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Date        Type Country       State  \\\n",
       "Case Number                                               \n",
       "2020.12.30   2020-12-30  Unprovoked     USA  California   \n",
       "2020.12.08   2020-12-08  Unprovoked     USA      Hawaii   \n",
       "2020.12.06.b 2020-12-06  Unprovoked     USA      Oregon   \n",
       "2020.11.26   2020-11-26  Unprovoked     USA      Hawaii   \n",
       "2020.10.31   2020-10-31  Unprovoked     USA     Florida   \n",
       "\n",
       "                                  Location Fatal (Y/N)  Year  \n",
       "Case Number                                                   \n",
       "2020.12.30      Coronado, San Diego County           N  2020  \n",
       "2020.12.08                     Honolua Bay           Y  2020  \n",
       "2020.12.06.b  Seaside Cove, Clatsop County           N  2020  \n",
       "2020.11.26                            Maui           N  2020  \n",
       "2020.10.31                    Ormond Beach           N  2020  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "42088d11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Type</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>Location</th>\n",
       "      <th>Fatal (Y/N)</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Case Number</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1904.00.00.a</th>\n",
       "      <td>1970-01-01 00:00:00.000001904</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>Off Diamond Head, Honolulu, O'ahu</td>\n",
       "      <td>Y</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1896.00.00.b</th>\n",
       "      <td>1970-01-01 00:00:00.000001896</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Florida</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Y</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883.00.00.a</th>\n",
       "      <td>1970-01-01 00:00:00.000001883</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Y</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1882.00.00.b</th>\n",
       "      <td>1970-01-01 00:00:00.000001882</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>Florida</td>\n",
       "      <td>In the bay near the naval yard at Pensacola, E...</td>\n",
       "      <td>N</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1852.00.00</th>\n",
       "      <td>1970-01-01 00:00:00.000001852</td>\n",
       "      <td>Unprovoked</td>\n",
       "      <td>USA</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>Mount Pleasant, Charleston County</td>\n",
       "      <td>Y</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Date        Type Country  \\\n",
       "Case Number                                                      \n",
       "1904.00.00.a 1970-01-01 00:00:00.000001904  Unprovoked     USA   \n",
       "1896.00.00.b 1970-01-01 00:00:00.000001896  Unprovoked     USA   \n",
       "1883.00.00.a 1970-01-01 00:00:00.000001883  Unprovoked     USA   \n",
       "1882.00.00.b 1970-01-01 00:00:00.000001882  Unprovoked     USA   \n",
       "1852.00.00   1970-01-01 00:00:00.000001852  Unprovoked     USA   \n",
       "\n",
       "                       State  \\\n",
       "Case Number                    \n",
       "1904.00.00.a          Hawaii   \n",
       "1896.00.00.b         Florida   \n",
       "1883.00.00.a  South Carolina   \n",
       "1882.00.00.b         Florida   \n",
       "1852.00.00    South Carolina   \n",
       "\n",
       "                                                       Location Fatal (Y/N)  \\\n",
       "Case Number                                                                   \n",
       "1904.00.00.a                  Off Diamond Head, Honolulu, O'ahu           Y   \n",
       "1896.00.00.b                                                NaN           Y   \n",
       "1883.00.00.a                                                NaN           Y   \n",
       "1882.00.00.b  In the bay near the naval yard at Pensacola, E...           N   \n",
       "1852.00.00                    Mount Pleasant, Charleston County           Y   \n",
       "\n",
       "              Year  \n",
       "Case Number         \n",
       "1904.00.00.a  1970  \n",
       "1896.00.00.b  1970  \n",
       "1883.00.00.a  1970  \n",
       "1882.00.00.b  1970  \n",
       "1852.00.00    1970  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2afbb7b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1514, 7)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52497a4f",
   "metadata": {},
   "source": [
    "After applying these filters, just over 1,500 attacks remain.  This analysis will focus on the number of shark attacks in a state in a given year.  Subsequent posts may analyze other aspects of this data.  First we count the number of attacks in a given state in a given year.  (We will shorten the phrase \"unprovoked shark attacks in the United States between 1960 and 2020\" to \"attacks\" for the remainder of the post.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8ba4e41b",
   "metadata": {},
   "outputs": [],
   "source": [
    "attacks_nz = (df.groupby([\"State\", \"Year\"])\n",
    "                .size()\n",
    "                .rename(\"Attacks\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "70dcac3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    333.000000\n",
       "mean       4.546547\n",
       "std        6.527174\n",
       "min        1.000000\n",
       "25%        1.000000\n",
       "50%        2.000000\n",
       "75%        5.000000\n",
       "max       38.000000\n",
       "Name: Attacks, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_nz.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "682c4693",
   "metadata": {},
   "source": [
    "The series `attacks_nz` includes a row only when there was at least one attack in that state in that year.  We also want to include zero entries for state/year combinations that saw now attacks, which we do now by reindexing `attacks_nz`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "61f2daf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "attacks_index = (pd.MultiIndex.from_product((\n",
    "                        attacks_nz.index\n",
    "                                  .get_level_values(\"State\")\n",
    "                                  .unique(),\n",
    "                        YEAR_RANGE[0] + np.arange(attacks_nz.index\n",
    "                                                            .get_level_values(\"Year\")\n",
    "                                                            .values\n",
    "                                                            .ptp())))\n",
    "                   .rename(\"Year\", level=1))\n",
    "attacks_df = (attacks_nz.reindex(attacks_index, fill_value=0)\n",
    "                        .astype(np.int64)\n",
    "                        .to_frame())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8cbbeeec",
   "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></th>\n",
       "      <th>Attacks</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Alabama</th>\n",
       "      <th>1960</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Attacks\n",
       "State   Year         \n",
       "Alabama 1960        0\n",
       "        1961        0\n",
       "        1962        0\n",
       "        1963        0\n",
       "        1964        0"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e95ccde2",
   "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></th>\n",
       "      <th>Attacks</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Washington</th>\n",
       "      <th>2015</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Attacks\n",
       "State      Year         \n",
       "Washington 2015        0\n",
       "           2016        0\n",
       "           2017        1\n",
       "           2018        0\n",
       "           2019        0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "739e2596",
   "metadata": {},
   "source": [
    "## Modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9344d448",
   "metadata": {},
   "source": [
    "We now turn to modeling the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "751d34e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = attacks_df[\"Attacks\"].hist(bins=attacks_df[\"Attacks\"].max() + 1)\n",
    "\n",
    "ax.set_xlabel(\"Number of attacks\");\n",
    "\n",
    "ax.set_yscale('log');\n",
    "ax.set_ylabel(\"Number of state-years\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4842eb82",
   "metadata": {},
   "source": [
    "We see that the vast majority of state-years have no shark attacks, and that when there is at least one attack, there are rarely very many.  We see that the [index of dispersion](https://en.wikipedia.org/wiki/Index_of_dispersion) is significantly larger than one, so the data shows overdispersion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d0faf3b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Attacks    12.729978\n",
       "dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_df.var() / attacks_df.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06d76417",
   "metadata": {},
   "source": [
    "### Negative Binomial\n",
    "\n",
    "Due to this overdispersion, we begin with a [Negative Binomial](https://en.wikipedia.org/wiki/Negative_binomial_distribution) model.\n",
    "\n",
    "Let $y_{i, t}$ represent the number of attacks in the $i$-th state in year $t$.  We use the priors\n",
    "\n",
    "$$ \n",
    "\\begin{align*}\n",
    "    \\mu\n",
    "        & \\sim \\operatorname{Lognormal}(0, 2.5^2) \\\\\n",
    "    \\alpha\n",
    "        & \\sim \\operatorname{Half}-N(2.5^2).\n",
    "\\end{align*}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "08335451",
   "metadata": {},
   "outputs": [],
   "source": [
    "with pm.Model() as nb_model:\n",
    "    μ = pm.Lognormal(\"μ\", 0., 2.5)\n",
    "    α = pm.HalfNormal(\"α\", 2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "993b8f71",
   "metadata": {},
   "source": [
    "We now let $y_{i, t} \\sim NB(\\mu, \\alpha)$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "70db74c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = attacks_df[\"Attacks\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4b2b8881",
   "metadata": {},
   "outputs": [],
   "source": [
    "with nb_model:\n",
    "    obs = pm.NegativeBinomial(\"obs\", μ, α, observed=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21d7cd16",
   "metadata": {},
   "source": [
    "We use [`pymc3`](https://docs.pymc.io/) to sample from the posterior distribution of this model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "1e919ebc",
   "metadata": {},
   "outputs": [],
   "source": [
    "CHAINS = 3\n",
    "SEED = 12345\n",
    "\n",
    "SAMPLE_KWARGS = {\n",
    "    'cores': CHAINS,\n",
    "    'random_seed': [SEED + i for i in range(CHAINS)],\n",
    "    'return_inferencedata': True\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "197d43b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (3 chains in 3 jobs)\n",
      "NUTS: [μ, α]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='6000' class='' max='6000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [6000/6000 00:15<00:00 Sampling 3 chains, 0 divergences]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Sampling 3 chains for 1_000 tune and 1_000 draw iterations (3_000 + 3_000 draws total) took 20 seconds.\n"
     ]
    }
   ],
   "source": [
    "with nb_model:\n",
    "    nb_trace = pm.sample(**SAMPLE_KWARGS)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3423dd0",
   "metadata": {},
   "source": [
    "The standard sampling diagnostics (energy plots, BFMI, and $\\hat{R}$) show no cause for concern."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e604153e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_diagnostic_plots(trace, axes=None, min_mult=0.995, max_mult=1.005):\n",
    "    if axes is None:\n",
    "        fig, axes = plt.subplots(ncols=2,\n",
    "                                 sharex=False, sharey=False,\n",
    "                                 figsize=(16, 6))\n",
    "        \n",
    "    az.plot_energy(trace, ax=axes[0])\n",
    "    \n",
    "    \n",
    "    rhat = az.rhat(trace).max()\n",
    "    axes[1].barh(np.arange(len(rhat.variables)), rhat.to_array(),\n",
    "                 tick_label=list(rhat.variables.keys()))\n",
    "    axes[1].axvline(1, c='k', ls='--')\n",
    "\n",
    "    axes[1].set_xlim(\n",
    "        min_mult * min(rhat.min().to_array().min(), 1),\n",
    "        max_mult * max(rhat.max().to_array().max(), 1)\n",
    "    )\n",
    "    axes[1].set_xlabel(r\"$\\hat{R}$\")\n",
    "\n",
    "    axes[1].set_ylabel(\"Variable\")\n",
    "    \n",
    "    return fig, axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ef32882c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_diagnostic_plots(nb_trace);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "147eed35",
   "metadata": {},
   "source": [
    "Examining the posterior distribution for $\\mu$ shows that the model will predicts more than one shark attack per year on average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "35a872e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "az.plot_posterior(nb_trace, var_names=[\"μ\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b8cf58",
   "metadata": {},
   "source": [
    "This prediction of about one shark attack per state per year captures nationwide average well enough, but is clearly not very useful at the state level.  We see specifically how bad it is by examining the posterior predictions of the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f4a9aebc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='3000' class='' max='3000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [3000/3000 00:05<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with nb_model:\n",
    "    nb_pp_trace = pm.sample_posterior_predictive(nb_trace)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "580dc7cc",
   "metadata": {},
   "source": [
    "First we produce a long data frame where each row represents a single posterior predictive sample from the distribution of the number of attacks in a given state-year.  This data frame will be the basis for all of our posterior predictive plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "889278c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_pp_full_df(pp_obs):\n",
    "    return (pd.DataFrame(\n",
    "                {i: samples for i, samples in enumerate(pp_obs)},\n",
    "                index=attacks_df.index\n",
    "              )\n",
    "              .reset_index()\n",
    "              .melt(id_vars=[\"State\", \"Year\"],\n",
    "                    var_name=\"Sample\")\n",
    "              .set_index([\"State\", \"Year\", \"Sample\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3e3e4303",
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_pp_full_df = make_pp_full_df(nb_pp_trace[\"obs\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e69d871c",
   "metadata": {
    "scrolled": false
   },
   "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></th>\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th>Sample</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Alabama</th>\n",
       "      <th>1960</th>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     value\n",
       "State   Year Sample       \n",
       "Alabama 1960 0           1\n",
       "        1961 0           0\n",
       "        1962 0           0\n",
       "        1963 0           0\n",
       "        1964 0           0"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_pp_full_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "467f0e6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "ALPHA = 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0edc0a80",
   "metadata": {},
   "outputs": [],
   "source": [
    "def summarize_pp_df(pp_full_df, level=None, alpha=ALPHA):\n",
    "    if level is None:\n",
    "        level = [\"State\", \"Year\"]\n",
    "    \n",
    "    return (pp_full_df.groupby(level=level)\n",
    "                      [\"value\"]\n",
    "                      .agg(\n",
    "                          mean='mean',\n",
    "                          sum='sum',\n",
    "                          low=lambda s: s.quantile(alpha / 2.),\n",
    "                          high=lambda s: s.quantile(1. - alpha / 2.),\n",
    "                      )\n",
    "                      .assign(attacks=attacks_df[\"Attacks\"]\n",
    "                                                .groupby(level=level)\n",
    "                                                .sum()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c3db5df7",
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_pp_df = summarize_pp_df(nb_pp_full_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f4d5b8d7",
   "metadata": {
    "scrolled": false
   },
   "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></th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "      <th>attacks</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Alabama</th>\n",
       "      <th>1960</th>\n",
       "      <td>1.231000</td>\n",
       "      <td>3693</td>\n",
       "      <td>0</td>\n",
       "      <td>12.000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>1.212667</td>\n",
       "      <td>3638</td>\n",
       "      <td>0</td>\n",
       "      <td>12.000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>1.206000</td>\n",
       "      <td>3618</td>\n",
       "      <td>0</td>\n",
       "      <td>11.025</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>1.232000</td>\n",
       "      <td>3696</td>\n",
       "      <td>0</td>\n",
       "      <td>12.000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>1.177667</td>\n",
       "      <td>3533</td>\n",
       "      <td>0</td>\n",
       "      <td>11.000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  mean   sum  low    high  attacks\n",
       "State   Year                                      \n",
       "Alabama 1960  1.231000  3693    0  12.000        0\n",
       "        1961  1.212667  3638    0  12.000        0\n",
       "        1962  1.206000  3618    0  11.025        0\n",
       "        1963  1.232000  3696    0  12.000        0\n",
       "        1964  1.177667  3533    0  11.000        0"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb_pp_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b33426cb",
   "metadata": {},
   "source": [
    "The data frame `nb_pp_df` contains the posterior predictive mean and posterior predictive quantiles for each state-year combination.  We now plot the predictions and actual data, broken down by state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "c219a003",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_pp_over_time(data=None, y=\"mean\", *args, **kwargs):\n",
    "    pp_df = data\n",
    "    \n",
    "    ax = plt.gca()\n",
    "    (pp_df.plot(\"Year\", y,\n",
    "                c='k', label=\"Posterior expected value\",\n",
    "                ax=ax))\n",
    "    (pp_df.reset_index()\n",
    "          .plot(\"Year\", \"attacks\",\n",
    "                kind='scatter', c='k', zorder=5,\n",
    "                label=\"Actual\", ax=ax))\n",
    "\n",
    "    ax.fill_between(pp_df[\"Year\"], pp_df[\"low\"], pp_df[\"high\"],\n",
    "                    color='C0', alpha=0.5,\n",
    "                    label=\"95% posterior credible interval\")\n",
    "\n",
    "    ax.set_ylabel(\"Number of shark attacks\")\n",
    "\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f151d050",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x2160 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid = sns.FacetGrid(nb_pp_df.reset_index(), col=\"State\",\n",
    "                     col_wrap=2, sharey=False, aspect=1.5)\n",
    "grid.map_dataframe(plot_pp_over_time);\n",
    "\n",
    "grid.axes[0].legend(loc=\"upper left\");\n",
    "grid.set_titles(\"{col_name}\");\n",
    "grid.fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77b495c6",
   "metadata": {},
   "source": [
    "We see that the predictions for each state are indeed the same (ignoring some slight Monte Carlo variation), and therefore vastly overpredict shark attacks for most states while massively underpredicting shark attacks for some states.\n",
    "\n",
    "The plot below which does not include a time axis further reinforces this point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "46cce133",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FadMms2jRAmw2O2XKlOGjj3K+liWz4ODmnDhxnFdffREAf//a9O37cr7nHhDQiLlzv+LUqZPqRcY58fT0ZPz4z/jii8/5/PPJWK0WHn20IhMmTKFmTV/69HmR119/mTJlyhIcnPOpOE9PLz755FOmT59CaqoJRdEwaNBbBAU1oWfPZxg79iNcXV358MMx2Y5t0+Yppkz5FH//OlSokH5NlU6nu+PPLS8jR37MtGmf8cILYQC4u5dg+PCR1KhRkyefbMvzz4dRvnx5GjZsxN9/772rsfJDcdzN/W8PiFdeeYWQkBDCw8Oz7G/bti2PPvooderUITIykkOHDvHee+/h4uJClSpVSExMJDQ0lO7duzNs2DA8PDw4ceIEFy9ezHKR8apVq5g2bRrly5encePGLF68mBUrVlCpUiVCQkKYNWsWtWqlX8Xu5+fHnj171Kvve/Towc6dO0lKSuLNN9/kypUrlC9fnsqVK5OWlsb48QX7hiuMFZwMznoXlawKPDicMa7iiOnSpTNUqFC1wMfdzV1UD2IJgNvJLaYNG9ZmuRvrQfIgf51y+r7OawXnoUhwHiaFmeCA/IJ5UDhjTOCccd3PCc7deJB/ceZGEpz7S0ETnIfiFJUQQghRWDp06ESHDp1u31DcUw/Vk4yFEEII8XCQBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIUSRS0xMJCSkGZ9/Pvm2bbdu/Y1Dhw7c9ZiffDKKFSuW3HU/4sHk1AmOxWLh888/5+mnnyY0NJT27dszfvx4tep3ToYNG8bChQsBWLRoEfPnz1ffGz58OKGhoQwZMqTQ5rh//34iIiIKrT8hhLgf/fLLj9SpU49ff/05z5/BANu2/cbhwweLZV7CeTn1c3CGDx9OWloaK1aswMPDA4vFwsqVKzGbzWrRx7xkruR99epVfv75Z3bv3q0WhssPq9WKTpf7x1yvXj0mT779XzT3wl9/7eLgwb3UqdOQRo2Ccm03Z85MNm78haee+j/Cnnslzyehrlmzks2bN/Lkk0/RuXP3PMdfvnwxmzb9QkjI/9Gz5zN33Q7gxInj/PbbCSpXrkGNGr55ts2v+PhrxMbG4uPjo1YFLoy2QhS3onzS+Pr1axg48C0WLJjP779v4ckn23LlymWmTp3I+fPnAGjb9mlq1fLn99+3snv3n6xdu5qwsHAcDkeWB+tlftDeiRP/MHnyeFJTTZjNZjp37kbv3uF5TUU8JJw2wTl9+jS//vorW7ZsUcu8p9c/CuPo0aOMHj0ak8lEWloavXv3pl+/ftn6mD59OkajkUGDBvHCCy+QmppKt27d6NatG3369GHSpEls27YNgJYtWzJ06FC0Wi3Dhg2jRIkSnD59muvXrxMZGcnYsWNp0KABe/fuRVEUpkyZQo0aNdi5cycTJkxg5cqVWK1WXn31Va5fv05aWhr169dn9OjRaln64vTmmwPYtm2rut2qVRumTZuVrV2TJjcLi8YZ3fkj7jFKuLuptWya1q6gtm3X7kkuXYoFYPPmjXz55Qx+/HFTjuM/9VRzrl27BkB09B98+eUMNm78/Y7bAUyaNI7Fi79Xt8PD+/DOO5F5fg6388svPzFz5nRsNitarY5BgwbTtu3Td91WiOJ27NhRli6NwmKxqLXifH39CqXv48ePkZiYSKNGQcTHX2P9+jU8+WRbPvrovwQHN+eTTyYCcOPGDUqVKkWLFq3w93+cHj3Saxpt2LA21759fHyYOnUmBoMBo9HIgAF9adw4mGrVqhfK3MWDy2kTnEOHDlG1alW8vLyyvVexYkXmz5+PwWAgJSWFXr160bJlS2rUqJFjXx4eHsyePZsePXqo1cijoqI4fPgwK1euBKB///4sWbJErXe1d+9eFi5ciLu7Ozt37uSff/5h3LhxfPTRR3z55ZfMnDkz28qNVqtl0qRJlC5dGofDQWRkJCtWrMiyklQc/vprl5rc1Ap5GwcOYoEPvtpCSY+bpepjYy9SpfnrACiKlhLlqqMoGkxmGwBz1h5i4+7z6LQarl67SsnaYZSsnXWsd6f9j3JlyxH5XKC6b/nyxWrSkuHatassX744ywpNfttB+srN4sXfo9XqMBj0mM0WoqIW0KVL9zteyYmPv8bMmdNxdXVVK6R/8cU0AgOfyLY6U5C2QhQ3k8nI0qVRuLm5U7Zs+vfnkiVRREREFspKzvr1q2nXLhRFUWjd+kmmTJnIpUuxHDiwjylTvlDblSpVqsB9p6amMmPGeP755xiKouHq1Sv8888xSXCE8yY4eUlNTWXUqFEcPXoURVG4fPkyR44cyTXBycn27dvp1q2burrSvXt3fv31VzXBadeuHe7uN38wVK9endq103+7BwQEsHnz5mx92u125s2bx9atW7Hb7SQkJODq6lqg2HKryVEQBw+mV3nNOBWnoODAQUpKMmXKlFLb3Ui4rr5WtDpwOEC52Y8COBQFvUFLYsKNHMdKTLiBj095vL1vJk7btmX/bDL2v/56/wK3A/jttxMAGAx69f8mk5Vz507QtGlgtj7y4+LFk4AdL6/0uXt5lSQ11UhqagLe3tXuuO2dyvwZOhNnjKuoY7p8WYNOl/9T6UZjMjabDQ+PEgB4eJQgOTkJozGZkiXz/zMlpzEtFgu//PIzBoOBn35aD4DNZuXnn9erx9x6nKIoaDSKul+v1+FwONRtq9WCoqS/P2fOTMqVK8fIkaPR6XQMHjwQq9WCTqfJ1s+duJtj71cPakwajaZA/3acNsGpXbs2Z86cISEhIdsqzmeffYa3tzfjx49Hp9Px0ksvqadZ8svhcKAoSpZ9mbczJzdAltNMGo0Gq9Warc+1a9fy119/8f333+Ph4cGsWbM4ffp0geZVGMU269RpCKQnXP/89jl2e3phtmFzF9CoUQO13Zwbf/DFF9MA0Ll4ULfTGBSNVn1fp9UwuEc9PN0NrFlzgpEjp2Yb66OPxtK5c4MsxQdbtnySLVu2ZGvbsuWTd9QOoHLl9OTVbLaoKzgZ+++08KGrqxegISEhSV2VAQ2url7Z+ixI2zvhjEUpwTnjKo6Y7HZ7gQoqurt7oNVqSU5OUb8/tVot7u4e+e4ntyKOmzZtokqVqnz55Vx134ED+xgz5kPq1q1PVNRCwsNfAG6eonJ3dycxMUntz8enIv/8cxyjMRVFUdi48VdKlkyfW2JiItWr1wQ0HDt2jJiYvbRt+zRWqx2Hw4Hd7rjj4pIPcmHK3DzIMdnt9mz/dvIqtvlgpnH5UK1aNUJCQhg5ciTJyckA2Gw2vv32W5KSkqhQoQI6nY5jx46xe/fuAvffrFkzfvjhBywWCxaLhVWrVhEcHHxXc05KSqJ06dJ4eHiQlJTEunXr7qq/O9WoURCtWrUBUJObVq3aZLvQuH//gbi4pK8wWdOSObNzAXarGTeDFoNOQ78O/uqFxp07d8fH59Esx/v4PJrjhcY9ez5D2bLlsuwrW7ZcttNO+W0HUKOGL+HhfbDZrJhMJmw2K+Hhfe7qQuMyZcoyaNBgUlNTuXLlMqmpqQwaNDjHU04FaStEcXNzcycsLByTycilS7GYTEbCwsIL5fTUhg1r+c9/2mfZV7dufex2Oy+9NID9+/+mT5/e9O37LOvWrQLg6ac78MsvP9OvXzg//riOunXr88QTjXnhhTDee28I1apVU/vq2/dl1q79gVdeeYFvv51LQEDDu56zcA5Ou4IDMH78eL744gt69OiBXq/HbrfTunVr+vfvz4gRI1izZg1VqlQhKCj3O4RyExYWxtmzZ+nWrRsALVq0oHfv3nc1365du7Jx40ZCQ0MpX748jRo1KvDKUmGZNm1Wvu6i2rkzJtNdVM0Jey4k17uofvxxU77votq48fd83R2V33YA77wTSZcu3Tl3rvDuomrb9mkCA5/I151RBWkrRHHz9fUjIiKy0O+imjx5Wo77ly5Nv56xYcNG2d57/PE6LFy4NMu+d98dkWM/tWr5s2DB0hzfe//9UQWYqXA2isPhuLvzGeK+UhinqDKTUwQPBmeMCZwzruKI6dKlM1SoULVIx7jVg3zqIzcS0/0lp+/rh/IUlRBCCCEeXpLgCCGEEMLpSIIjhBBOSK4+EM7kTr6fJcERQggno9MZSElJlCRHOAWHw0FKSiI6XcGe6u/Ud1EJIcTDqHRpb65fv0Jy8o1iG1Oj0aiPlXAWEtP9Q6czULq0d8GOKaK5CCGEuEe0Wh3lyvkU65hyx9uDwRljys0DcYrKYrHw+eef8/TTTxMaGkr79u0ZP348FovlXk8NgF9//ZV9+/ap2/v37yciIuKO+0tMTGTOnDmFMTUhhBDiofRAJDjDhw/nn3/+YcWKFaxfv541a9ZQvXp1zGbzvZ4akD3BqVevXrZCmgWRmJjI119/XRhTuytBQfWpWLEiQUH182xnMhmJi4vDZDKSaDRzKjaRROP98bURQgjxcLrvT1GdPn2aX3/9lS1btuDhkf4wH71eT1hYGDabjQkTJrBt2zYAWrZsydChQ9FqtQwbNgyDwcDp06e5dOkSAQEBTJgwAUVR8nwvOTmZcePGcfToUdLS0mjSpAnDhw9Hq9USFxfHmDFj1PpQHTt2pHbt2mzatIno6GiWLVvGiy++iI+PDxMmTFArjW/evJnp06djtVrRaDSMHz8eDw8PevTowc6dOwE4f/68uv3RRx+RlJREly5dcHNzY/HixcX+uQcE+KuvLRYzAQH+xMQcydbu2LGjLF0ahcViIdXwKNcNddBrNdjsDvp18Kdp7QrFOW0hhBACeAASnEOHDlG1atVsBTMBlixZwuHDh9VEon///ixZskSt6H38+HHmz5+Poih069aN6Ohomjdvnud748aNIygoiE8++QS73c7QoUNZsWIFvXv3ZujQobRu3Zrp06cDEB8fT5kyZQgJCaFu3bo8//zzAGrSAnDq1Ck++OADvv/+e6pVq4bZbMZsNnPjxo1cYx45ciQ9evRg9erVhfIZFlTmFRvfkCHq694Rs2kU+IS6bbfbOHf+HBp9QxSDlhS7O9gcWG02AOasPcTG3efRaW+/UBj53J1V9BZCCCFyct8nOHnZvn073bp1Uyt1d+/enV9//VVNcNq2bYuLiwuQXl387NmzaoKT23ubNm1i3759fPPNNwCkpqZSvnx5UlJS2Lt3r7ofoEyZMredY3R0NK1atVKLwxkMBgwGQ54Jzt3I7ZHVBWGx5Hx6yeGwozfcrBZuTrOhKOkrala7ArdcmK8ADkXJckxuvL1L3s2UC6y4xysOzhgTOGdczhgTOGdcEtOD675PcGrXrs2ZM2dISEjItorjcDhQFCXLvszbGQkMgFarxfbvykJe7zkcDmbOnEnlypWz9JuSknJH88/tORQ6nS7Le4VVVLMwalHp9QY1yTm+aWqW/cs+e03dNpmMTJ68Dje9O3q3kvyd5IuDm8mMTqthcI962Ypu5qQ4r+p3xrsInDEmcM64nDEmcM64JKb73wNdi6patWqEhIQwcuRIkpOTAbDZbHz77bc0adKEH374AYvFgsViYdWqVQQHB9/VeCEhIcyePVtNeOLj4zl37hwlSpSgYcOGzJ8/X20bHx8PgIeHB0lJOX/DtGjRgq1bt6rX7ZjNZpKTkylXrhwWi4UzZ84AsG7dOvUYDw8PUlNTsVqtdxXLndq1a1++9ru5uRMWFo7JZOTa5fOUsx1Fp1VwM2gx6DT06+Cfr+RGCCGEKGz3/QoOwPjx4/niiy/o0aMHer0eu91O69atefvtt7lw4QLdunUD0pOJ3r1739VYI0aMYOLEiXTp0gVFUdDr9YwYMYLKlSszadIkRo8eTceOHdFoNHTs2JEBAwbQuXNnhg8fzk8//aReZJyhWrVqfPzxx7z99tvYbDa0Wi3jx4/Hz8+P999/nxdffJGKFSvSpEkT9ZhSpUrRqVMnOnXqhJeX1z25yDgm5ghBQfWxWMzo9YZckx5fXz8iIiJJTEzC07MkFoeOawmplPVyleRGCCHEPaM45FneTqUwTlFl5mzLmSAxPUicMS5njAmcMy6J6f73QJ+iEkIIIYQoKElwhBBCCOF0JMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNN5IB70d6dCQkLU2k8mk4maNWvSv39/AgPzLuw4bNiwLMUzhRBCCPFgceoEB2DatGnUqlULgP/9738MGDCAuXPn0qBBg3s8s6ysVis63f315WjSJIC0tFRcXFzZuTMm13YXLpzn5MkTPPZYDUqWfkSeZCyEEOKeu79+oxax//znP+zbt4+5c+cyadIkpkyZwq5du7BYLNSqVYtRo0ZRokSJLMds376dqVOnkpaWhs1m47XXXiM0NJSTJ0/y5ptvsn79eqxWK02aNOH111/nlVdeYcOGDWzcuJHJkyczb9481q9fj81mw8XFhVGjRvH4448D4Ofnx7vvvsuWLVto1KgRr7zyCuPGjePo0aOkpaXRpEkThg8fjlZ7+2rchS0gwF99nZaWSkCAPzExR7K1+/bbuXz99SzsdjueFRtSsdEzuOj12OwO+nXwp2ntCsU5bSGEEAJ4yBIcgAYNGrBp0ya+/vprSpYsyfLlywGYOHEis2fP5u23387Svnbt2kRFRaHVarl69Srdu3enRYsWPPbYYyQnJ3P58mUuXLiAr68v27dv55VXXmHHjh00bdoUgK5du/LSSy8BEB0dzYcffsjSpUvV/u12OwsWLADg/fffJygoiE8++QS73c7QoUNZsWLFXdfXKqgmTQLU174hQ9TXYRGzCQx8Qt1OM6dx6JCdysGvoWh1GDwrYndoMJnTC5XOWXuIjbvPo9Pe/lKvyOfyPm0ohBBCFMRDl+BklN7atGkTycnJ/Pzzz0B6lW9/f/9s7ePj4xkxYgRnzpxBq9WSkJDAqVOnCAgIoEmTJmzfvp3z588TFhbG119/jdlsJjo6mv79+wNw4MABvvrqKxISElAURa0qniGjUGjGnPbt28c333wDQGpqKuXLly9QfLnV5CiItLTUHPfbHXb0hpurSckpaQBoNBoUTfZvJQVwKEqWY3Lj7V3yziZ7h4p7vOLgjDGBc8bljDGBc8YlMT24HroEZ//+/fj6+nL+/Hk+/PBDgoOD82w/atQoQkJCmDFjBoqi8PTTT5OWlv6LPTg4mB07dnD+/HkmTpzIrl27WL9+PQCVK1fGbDbz1ltvsXDhQurUqUNcXBytWrXK0r+7u7v62uFwMHPmTCpXrnzH8RVGsU0XF1c1yTm+aWqW/cs+e03dvnDhPM888y56vQE3j9J4N3kDRXvzuhudVsPgHvXydS1OcRZ/c7Zic+CcMYFzxuWMMYFzxiUx3f+k2Oa/fv31VxYtWsSLL75ISEgI8+fPJzU1/Rd5cnIyJ06cyHZMUlISFStWRFEU/vjjD86cOaO+FxwczLZt20hISKBChQo0a9aM6dOnq6enzGYzVqsVHx8fAKKiovKcX0hICLNnz8ZmSz/FEx8fz7lz5wol9oLI7YLiW/dXrFiJAQMGYrGYuXEtlri/l6NR7LgZtBh0Gvp18JcLjYUQQtwTTr+CM3jwYPU28Ro1ajB79mwCAgKoU6cOM2bMoGfPniiKgqIovPHGG9SoUSPL8REREYwePZo5c+bg5+eHn5+f+l6FChUoUaIEjRo1AqBp06ZcvHhRTXA8PDwYPHgwPXv2xMfHJ9vqza1GjBjBxIkT6dKlC4qioNfrGTFixF2t6NypmJgj+bqLqk+fFwkJ+T+5i0oIIcR9RXFkXJQinEJhnKLKzNmWM0FiepA4Y1zOGBM4Z1wS0/1PTlEJIYQQ4qEiCY4QQgghnI4kOEIIIYRwOpLgCCGEEMLpSIIjhBBCCKcjCY4QQgghnI7TPwfnToSEhGAwGHBxcQGgSZMmJCYmUrduXZ5//vkC9RUXF8fQoUPVelO38vPzY8+ePdmKfAohhBDizkmCk4tp06ZRq1YtdXvYsGEF7sNqtVK+fPlck5v7nclkJDY2GYtFg5ube67t4uOvERsbi4+PDzrXknk+6O/EieMcOnSQ2rXrUKOGb57j57dtQfv87bcTVK5c47ZtM8dVpkzZu24H6eUtMh6KWLFipdvONb9x5VdB5loU8Rd0rhcvnsTV1avQ+i3IXE0mI4mJSXh6lszz+78g/RZFTAWZa1HEVFSKYq4F6TO/P/8K2m9+FeRnRX4VJKaiUBSfU14kwbkDKSkpjBkzhv379wPQuXNnBgwYAECfPn1o2LAhf//9Ny4uLowcOZIePXqwc+dOAP73v//x2WefUapUqWxPNo6IiODUqVNYLBaqVKnC2LFj8fLyKt7g/nXs2FGWLo1Cp1OwWh2EhYXj6+uXrd0vv/zEzJnTsdmsuHrXwatWKAa9DpvdQb8O/jStXUFtO2nSOBYv/l7dDg/vwzvvROY4fn7bFkWft8al1eoYNGgwbds+fcftAL79di5ffz0Lu92ORqNhwICB9Onz4l3PNb8KMteiiP9O5gp2QFMo/RZkrhnf/xaLBb1en+v3f0H6LYqYCjLXooipqBTFXAvSZ35//hW03/wqyM+K/CpITEWhKD6n25EnGefg1lNUQ4cOZf369eopqokTJ3L16lXGjx9PSkoKYWFhvPfee7Ru3Zo+ffpQokQJZsyYgU6n4/z582qCc+3aNTp06MCiRYt47LHHmDNnDpMmTVJPUcXHx1OmTBkApkyZgs1mY+jQoQWae2E8ydhkMjJ58gTc3Nw5r9TFYrFgt9upXKkyGs3NyuAWq4WjR4+g0WjQanQ43LxRlJuXdSkKPObjiU6rwZRq4tChAygoKBoFh92BAwe1a9fFzdWNyOcC1eNOnDhOWFg3tFoder0Oi8WKzWZlyZIfsqxk5LfdrW0NBj1msyXXtvHx13j55RdwdXXF3d0do9FIamoqc+d+l+Wvw/y2g4zCpN3Q69O/r9LS0rBYzCxe/EO2v84KEleG2z2dtCBzLYr4CyJzv15eJUlISLrrfgsy18zf/xltTSYjERGR2f7qvJPPqrBiKshciyKmWxXWE3KLYq4F6TNzW2/v0ly5cj1fbW/Xb34V5GdFfhUkpqJQFJ9ThryeZCwrOLm49RRVRpVwgO3btzNixAgURcHDw4PQ0FC2b99O69atAejUqRM6XfaPNiYmhtq1a/PYY48BEBYWxqRJk9T3V69ezdq1a7FYLBiNRqpVq1bgeef2hS6I2NhkdDoFb+/SnL8Ker0eszkNRQG94WaCk2Y2AQ50Oi0ORYtySz8K4FAU9AYtN26Y0vdpFPX/DruDtFQTnp4eeHuXVI/77bf0oqcGg179v8lk5dy5EzRtGljgdgVte/HiScCOl1f6nLy8SpKaaiQ1NQFv72oFbgewb99FHA4Hbm6uALi5uWI2p3Ht2kUCAh6/47lmlvkzvFVB5loU8RdEUfRbkD4zf/8DlCjhwsWLJvR6e7bP+F5/Vvmda1HElJO8vgcLO6aCzLUgfd7a1tu7dL7b5tVvfhXkZ0V+FSSmolAUn1N+SIJzBxwOB4qS9dd55m1395wz0rwWy3bv3s2iRYtYvHgxZcqUYe3atSxdurTAcyuMFRyLRYPV6uDKles09CY927caeatHuyzZdvpfT2NxdXXFrWRpHNV6ZVnB0Wk1DO5RD093w7+rEkOyrUqMG5i+KpH5L7/KldMLnprNFrVtxv47aXdr24wVnNzaurp6ARoSEpLUvzZAg6urV5a2+W0HULbsoyiKgsmUqv5VpigKZcs+mudcbxdXhtv99VyQuRZF/AWRud+M1Y677bcgc838/Z/R1mp1YLFoCuWzKqyYCjLXoojpVoW1glMUcy1In5nbZqx25Kft7frNr4L8rMivgsRUFIric8ogtagKWbNmzVi+fDkOh4Pk5GQ2bNhAcHDwbY9r2LAhhw4d4vTp0wAsW7ZMfS8xMREPDw9KlSqF2WxmxYoVRTX923JzcycsLByTycjFixcxmYyEhYVnW0osU6YsgwYNJjU1lauXzpFy4me0igM3gxaDTkO/Dv7qhcY1avgSHt4Hm81KamoqNpuV8PA+OZ5yyW/bO+3TZDLl2TZzXFeuXCY1NZVBgwZnW57PbzuAihUrMWDAQCwWM4mJCVgsZgYMGJjjknNB4sqvgsy1KOK/07nGxcUVSr8FmWvm7/9Ll2Jz/f4vSL9FEVNB5loUMRWVophrQfrM78+/gvabXwX5WZFfBYmpKBTF55Qfcg1ODkJCQpg1a1a2u6gyrsFJSUnh448/5sCBA0D2i4xfeuklnnzySYAs1+BA1ouM27Vrx7hx49izZw8uLi4MHTqUw4cPU758eerWrcv+/fsLfAdWYVYTN5mM6PV2p7uL6tw557uLKr9/PT9od1GlpiY43V1UhR1TQeZalHdRFXaV6vvhLqr8/PwraL/5VVR3UeU3pqJQFJ9TXis4kuA4mcJMcKDwf2jdDySmB4czxuWMMYFzxiUx3f/kFJUQQgghHiqS4AghhBDC6UiCI4QQQginIwmOEEIIIZyOJDhCCCGEcDqS4AghhBDC6UiCI4QQQgin89CXarBYLMyaNYt169ah0+nQ6XRUrVqVwYMHU7NmzSIff9GiRaSlpdGvX78iH0sIIYR4WDz0Cc7w4cNJTU1l2bJleHp64nA4+Omnnzhx4kShJDhWqzXHwpsZnn322bseo6i0aBFEcnISHh4l+f33Xbm2i47eRnT0HzRr1py6AU3yfJJxUTzJUgghhLjVQ53gnD59ml9//ZUtW7bg6ekJpBfNbN++PQBms5kpU6awa9cuLBYLtWrVYtSoUZQoUYKrV6/y4YcfcvbsWQBefvllunbtCqSXeujRowc7duygcuXKDB8+nBEjRnD8+HHKly9P+fLlKVu2LJGRkUyfPh2j0UhkZCRHjx5l9OjRmEwm0tLS6N279z1b2QkI8FdfJycnERDgT0zMkWztXnwxnL179wCwfut+qjc14ebqgs3uoF8Hf5rWrqC2PXbsKEuXRmGxWNDr9YSFhePr61f0wQghhHjoPNQJzqFDh6hatSpeXl45vv/1119TsmRJli9fDsDEiROZPXs2b7/9NmPGjMHX15cvvviCy5cv0717d2rXrq3Wr7py5YpaR2r8+PF4enry008/cePGDbp3787TTz+dbbyKFSsyf/58DAYDKSkp9OrVi5YtW1KjRo0i+gRy1qJFkPraN2SI+vqZd+fQMKCRup2QmEBy6Vb4hrRCUbSUKFcdFA0msw2AOWsPsXH3eXRaDXa7jXPnz6HRN0TrosVmtzFl+UEqV0pEo9ECEPlcYPEEKIQQwuk91AnOrf755x8iIiJITU2lZcuWxMTEkJyczM8//wykr+j4+6evbGzfvp1hw4YB8Mgjj9C6dWt27typJjgZqzkAO3fu5IMPPgCgVKlStG3bNsfxU1NTGTVqFEePHkVRFC5fvsyRI0cKlODkVpOjIJKTc65TYrPZ0Bu0mdolqq8VrQ4cDlButlcAh6KgN2gxp9lQFNDr9QBotBrM5rT0ff/26e1d8q7nnl/FOVZxccaYwDnjcsaYwDnjkpgeXA91glO7dm3OnDlDYmIinp6e1KxZk9WrV7Nw4UIOHDiAw+Hgww8/JDg4OMfjFUXJddvd/eb1JQ6HI1vbnHz22Wd4e3szfvx4dDodL730EmlpaQWKqTCKbXp4lFSTnOObpmbZ/85nr6nb0dGJDBwYCYDOxYO6ncagaG4mQDqthsE96uHpbsBkMjJ58jrc9O64u7tjNBoxWY281aOdei1OcRWAc7Zic+CcMYFzxuWMMYFzxiUx3f+k2GYuqlWrxlNPPcUHH3xAUtLNL7jRaATSr6WZP38+qampACQnJ3PixAkAgoODWbJkCZB+OmrLli00adIkx3GaNGnCqlWrAEhISGDjxo05tktKSqJChQrodDqOHTvG7t27CyXOgsrtguJb9zdr1pLAwCcAsKYlc2bnArBbcTNoMeg09Ovgr15o7ObmTlhYOCaTkUuXYjGZjISFhcuFxkIIIYrEQ72CAzBu3DhmzpxJz5490el0eHp68sgjjzBgwABq1arFjBkz6NmzJ4qioCgKb7zxBjVq1OCDDz5g5MiRdOrUCYChQ4fi6+ub4xiDBg1i+PDhhIaGUrFiRQIDA/HwyJ5xvv7667z33nusWbOGKlWqEBQUlENvxSMm5ki+7qKaN29hvu+i8vX1IyIiUu6iEkIIUeQUh8Nxd+czxG1ZLBbsdjsuLi4kJyfz7LPPMnz4cJo1a1boYxXGKarMnG05EySmB4kzxuWMMYFzxiUx3f/yOkX10K/gFIfExET69++PzWYjLS2Njh07FklyI4QQQoh0kuAUg7Jly7Jy5cp7PQ0hhBDiofFQX2QshBBCCOckCY4QQgghnI4kOEIIIYRwOpLgCCGEEMLpSIIjhBBCCKcjCU4uQkJCOHbsWJZ93bt3Z+fOnUU2ZlxcHH369FG3u3Tpoj5FWQghhBD5JwnOfaR8+fJqBXKA1atX4+rqes/ms3z5YsLDw1m+fPFt2w0c+DLLly8m0WjmVGwiiUZzjm3/+msXs2bN4K+/cn4ycmZr1qzk7bcHsWZN3rfYHzy4n++//5aDB/ffts8TJ46zbNkyTpw4ftu2+Z2ryWQkLi4Ok8l42z7j469x8OAB4uOv3bZtfplMRmJjY/M1fkHmWpDxC7vPovIgzVUIcXfkOTh3YO3atXz33XdYLBYAIiMjCQ4OZtu2bSxYsIDZs2dz7do1mjVrxtSpU2nfvj1z5swhKSmJd955hwkTJvDnn39isVgoXbo0Y8eOpWLFipw/f54ePXqoq0R+fn7s2bOHEiVKFHuMTz3VnGvX0n8Jb9myhS+/nMHGjb/n2e7w+VTWHS1FCTc3bHYH/Tr407R2BbXtm28OYNu2rQDMmjWDVq3aMG3arBzHb9fuSS5digVg8+aNfPnlDH78cVO2du+//y4bNqxTt0NDOzNmzIQc+5w0aRyLF3+vboeH9+GddyJzbJvfuR47dpSlS6OwWCzo9XrCwsLx9fXLsc9ffvmJmTOnY7NZ0Wp1DBo0mLZtn86xbX5ljK/TKVitjjzHL8hcCzp+YfZZVB6kuQoh7p6UashFSEgIBoMBFxcXdd/p06eZPXs2tWrVolSpUiiKwsmTJ+nXrx9bt27FZDLRpk0bfv/9d37++WcWLlxIrVq1+Oijj3j55Zd55ZVXCA4OJj4+njJlygCwbNkyoqOjmTJlSqEkOIVRqmH58sWMGTMKAN+QIer+qlWq4e39iLp95cplzpw9DYCiaClRrjqKcnNRUFHgMR9PdFoNSclJHD16OH0/Cg7S5+jn9zglPUoCEPlcIJC+cjNy5Ihs8/roo7F07txd3T54cD/PP98bRVHQarXYbDYcDgcLFy6lTp16WY49ceI4YWHd0Gp1GAx6zGYLNpuVJUt+oEaNrDXE/vprFy+/nH6qUKPRYLfbAZg7dwGNGt2sD5ZeIX0Cbm6ZKqSbjERERGarsxUff42XX34BV1dXtW1qaipz535HmTJlc/oy3Fbm8b29S3PlyvVcxy/IXO9k/MLq81aF9Vj54phrfjnbo/IzOGNcEtP9T0o13KFp06ZRq1Ytdbt79/RfrufOnSMiIoK4uDh0Oh1Xr17lypUreHt7U7NmTf7++2+io6MZOHAgEydOxGw2c+DAAQID03+Bb926laioKIxGI1artVDnnNsXuiC2bduc4/6EhBs8WtEny3YGRasDhwOUm+0VwKEo6A1aUlKS/92nqP934CAlJZkyZUoB6f/wAP74Y0uO4//xxxZefrmvun38+EEAdDqd+n+LxcLx4wdp0yZrKYzffkuvAm8w6NX/m0xWzp07QdOmgVnaHjy4F0hPbjL+b7fbOXhwL+3ahajtYmOT0ekUvL1LA1CihAsXL5rQ6+1qLBkuXjwJ2PHySt/v5VWS1FQjqakJeHtXyzHe27l1fG/v0rmOX5C53un4hdFnTgqjr+Kaa37dizGLgzPGJTE9uCTBuQPvvPMOw4YNo23bttjtdho0aEBaWhoAwcHB7Nixg7///ptRo0ZRtmxZ1q1bh5+fHy4uLly4cIFx48axfPlyKleuzJ49exg6dGihza0wVnBatnySLVvSk4zjm6aq+z/4YBQ9ezZQt5cvP8yYMenv61w8qNtpDIpGq76v02oY3KMenu4G/vrLzMsvRwBZV0WGzV1Ao0bpfWb8VdG8eWt+/vnnbPNq3rx1lr88fH3rAGC1WtUVnIz9t/6FUrlyDQDMZou6gpOx/9a2deo0BMBut2eZa506DbO0tVg0WK0Orly5rq4KWK0OLBZNtj5dXb0ADQkJSWpb0ODq6nXHf01lHj9jBSe38Qsy1zsZv7D6vFVh/bVZHHPNL2f7CzqDM8YlMd3/8lrBkYuM70BSUhKVKlUCYPny5ZjNNy+obdq0KStXrqRChQoYDAaCg4OZMWMGwcHBACQnJ6PX6/H29sZut7N4cd4X8N4LPXs+Q9my5bLsK1u2HD17PpNrO2taMmd2LsBuM+Nm0GLQaejXwR9PdwMAjRoF0apVGwA1YWjVqk2WUz4ZOnfujo/Po1n2+fg8muX0FECdOvUIDe2Mw+HAarXicDgIDe2c7fQUQI0avoSH98Fms2IymbDZrISH98l2eqogc3VzcycsLByTycilS+kX+YaFhed4yqNMmbIMGjSY1NRUrly5TGpqKoMGDb7j01O3jn/x4sU8xy/IXO9k/MLqs6g8SHMVQhQOuQYnFyEhIcyaNSvbKarIyEhiY2OZNm0a5cuXp3HjxixevJgVK1ZQqVIlLBYLjRs3ZtCgQbzyyivs27ePXr16sXjxYho2TF8ZGDNmDJs3b+bRRx8lKCiIVatWsWnTpvvmGpwMy5cvZtu2zbRs+WS25ObWdps2/UJIyP/xnw7duZaQSlkvVzW5yeyvv3axa9dOgoKa5JjcZLZmzUo2b97Ik08+lS25yezgwf3ExOwhICAwx+QmsxMnjnPu3AkqV66RY3JzJ3M1mYwkJibh6Vnytr8w4+OvERsbi4+Pz10lN7eOr9fbsVg0tx2/IHMtyPiF3WeGwv5rsyjnml/O9hd0BmeMS2K6/+W1giMJjpMpzAQHnO8fA0hMDxJnjMsZYwLnjEtiuv/JKSohhBBCPFQkwRFCCCGE05EERwghhBBORxIcIYQQQjgdSXCEEEII4XQkwRFCCCGE03HqBCckJIRjx47ddT+LFi1i/vz5ebb5/PPP2bBhw12PJYQQQoi7J6Ua8uHZZ5+9bZu33nqrGGZSvJo1a4TRmIK7ewmio//KtV3mB+L5Pt4gzwf9CSGEEMXhoUtwVq1axdy5cwGoUqUKH330EWXLlmX69OkYjUYiIyMBsmxnfr1nzx4+/vhj7HY7VquV119/nY4dOzJs2DDq1q3L888/z/bt25k6dSppaWnYbDZee+01QkNDAejTpw9169YlJiaGy5cv0759e7UW1bx581i/fj02mw0XFxdGjRrF448/fk8+p4AAf/W10ZhCQIA/MTFHsrV7880BbNu2FYAlG7ZTvWlf3FxdsNkd9OvgT9PaFYptzkIIIUSGhyrBOXbsGJMmTWLlypU88sgjTJ06lY8//pipU6fmu485c+bQt29funbtisPhICkp+xMha9euTVRUFFqtlqtXr9K9e3datGiBl5cXALGxsXz//fekpKTQtm1bevbsSbVq1ejatSsvvfQSANHR0Xz44YcsXbq0UGIviGbNGqmvfUOGqK+fGTqHhg1vvpeUnMQlfSC+IYEoio4S5aqBosFkTi96OWftITbuPo9Om78zoZHPBd6+kRBCCJEPD1WCs3PnTlq3bs0jjzwCwDPPPEOXLl0K1EeTJk2YPXs2Fy9epHnz5jRo0CBbm/j4eEaMGMGZM2fQarUkJCRw6tQpAgICAGjXrh0ajYaSJUtSo0YNzp49S7Vq1Thw4ABfffUVCQkJKIrC6dOnCxxjbo+sLgijMSXH/Ta7Db3hZrXwlJRkABQUNFodOByg3GyvAA5FyXJMXry9S97xnAuqOMcqLs4YEzhnXM4YEzhnXBLTg+uhSnAcDgeKouT4nlarVStHA6SlpeXYrl+/foSEhBAdHc3HH39M8+bNefvtt7O0GTVqFCEhIcyYMQNFUXj66aez9Ofi4pJlXJvNhtls5q233mLhwoXUqVOHuLg4WrVqVeAYC6MWlbt7CTXJOb5papb973z2mrr9119mXn45AgC9myd1Qj9C0dxMZnRaDYN71Mv3tTjFVR/F2WqxgHPGBM4ZlzPGBM4Zl8R0/5NaVP8KDg5my5YtXLlyBYClS5fSrFkzIP16nIMHD2K320lOTua3337LsY9Tp05RpUoVnnnmGV544QX279+frU1SUhIVK1ZEURT++OMPzpw5c9u5mc1mrFYrPj4+AERFRd1hlHcvtwuKb93fqFEQrVq1AcBiSuTMzgVgt+Jm0GLQaejXwV8uNBZCCHFPOP0KzosvvohWe3NV4Z133lGvc6lcuTIfffQRAP/5z3/48ccfCQ0NpWrVqtSpUyfH/hYsWMDOnTvR6/UYDAY++OCDbG0iIiIYPXo0c+bMwc/PDz8/v9vO08PDg8GDB9OzZ098fHzuaPWmMMXEHMnXXVTTps2Su6iEEELcdxSHw3F35zPEfaUwTlFl5mzLmSAxPUicMS5njAmcMy6J6f4np6iEEEII8VCRBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlw8ikkJIQWLVpgs9nUfStWrMDPz4+FCxfmeez777/P7t27i3qKQgghhPiX0z/JuDB5e3vz+++/07p1awBWrVqV6xOPM/vkk0+KempFIiioPhaLGb3ewK5d+3JtZzIZSUxMwtOzJBaHTp5kLIQQ4p6TBKcAunXrxsqVK2ndujXnzp3DZDJRq1YtALZv387UqVNJS0vDZrPx2muvERoaCkCfPn146aWXePLJJxk2bBgGg4HTp09z6dIlAgICmDBhAoqikJyczLhx4zh69ChpaWk0adKE4cOHZyk1UVwCAvzV1xaLmYAAf2JijmRrd+zYUZYujcJisZBqeJTrhjrotRpsdgf9OvjTtHaF4py2EEIIAUiCUyBNmjQhKiqKhIQEfvjhB7p27cqBAwcAqF27NlFRUWi1Wq5evUr37t1p0aIFXl5e2fo5fvw48+fPR1EUunXrRnR0NM2bN2fcuHEEBQXxySefYLfbGTp0KCtWrKB3797FGmdQUH31tW/IEPV174jZNAp8Qt22222cO38Ojb4hikFLit0dbA6s/57Gm7P2EBt3n0enzd+Z0MjnAgsnACGEEA89SXAKQFEU2rdvz/r169mwYQOLFi1SE5z4+HhGjBjBmTNn0Gq1JCQkcOrUKQICArL107ZtW1xcXID0xOjs2bM0b96cTZs2sW/fPr755hsAUlNTKV++fIHmmFtNjoKwWMw57nc47OgNN1eTzGk2FAX0ej1WuwL2rO0VwKEoWY7Ji7d3yTudcoEV51jFxRljAueMyxljAueMS2J6cEmCU0Ddu3enV69eNG7cmNKlS6v7R40aRUhICDNmzEBRFJ5++mnS0tJy7CMjuQHQarXqhcsOh4OZM2dSuXLlO55fYRTb1OsNapJzfNPULPuXffaaum0yGZk8eR1uenf0biX5O8kXBzeTGZ1Ww+Ae9fJ9LU5xFYBztmJz4JwxgXPG5YwxgXPGJTHd/6TYZiGqXLkyb7/9NgMHDsyyPykpiYoVK6IoCn/88QdnzpwpcN8hISHMnj1bTXji4+M5d+5cocy7IHK7oPjW/W5u7oSFhWMyGbl2+TzlbEfRaRXcDFoMOg39OvjLhcZCCCHuCVnBuQNhYWHZ9kVERDB69GjmzJmDn58ffn5+Be53xIgRTJw4kS5duqAoCnq9nhEjRtzVis6diok5kq+7qHx9/YiIiJS7qIQQQtxXFIfDcXfnM8R9pTBOUWXmbMuZIDE9SJwxLmeMCZwzLonp/ienqIQQQgjxUJEERwghhBBORxIcIYQQQjgdSXCEEEII4XQKnODExsYSExNTBFMRQgghhCgc+U5wLl68yDPPPEP79u158cUXAfjpp594//33i2xyQgghhBB3It8JzsiRI2nTpg179uxBp0t/fE7z5s2Jjo6+7bEhISG0aNFCfYAdwIoVK/Dz82PhwoV3MO3Cs3LlSgYPHlwsY82fP59r166p2zt37uT3338vlrGFEEKIh0m+E5z9+/czYMAANBoNiqIAULJkSZKS8nc/vbe3d5Zf5qtWraJOnToFnO6D7bvvvsuS4Pz555/88ccf93BGeQsODqRixYoEB+ddBPPEieOsXbuKEyeOk2g0cyo2kURjzvWsTCYjcXFxmEzGopiyEEIIARTgScZly5blzJkzVK9eXd33zz//4OPjk6/ju3XrxsqVK2ndujXnzp3DZDJRq1YtALZv387UqVNJS0vDZrPx2muvERoaCsCMGTNYt24dLi4uKIrCd999h16vJzIykn/++QedTkf16tX5/PPPuXLlCu+88w4pKSmkpaXRunVr3nvvPQDMZjNTpkxh27ZtaDQaKleuzBdffAFAcnIyQ4YM4fjx45QsWZLp06fj7e3N9OnTMRqNREZGAmTZ/vXXX/n888/RaDTYbDb++9//0qRJEy5fvsyYMWO4ePEiaWlphIaG8tprr/Hll19y+fJlBg8ejIuLCxMmTGDx4sXY7Xaio6MJDQ2lR48eREREqElQcHAwI0aMyO+XqFAFBPirr00mIwEB/sTEHMnWbtKkcSxe/D0AXpUCqda0D64GAza7g34d/Glau4La9tixoyxdGoXFYkGv1xMWFo6vb8Gf+CyEEELcTr4TnJdeeonXXnuNAQMGYLVaWbduHV999RX9+/fP1/FNmjQhKiqKhIQEfvjhB7p27apW4q5duzZRUVFotVquXr1K9+7dadGiBQBz585l+/btuLq6kpycjKurK5s3byYxMZENGzYAkJCQAICnpyezZs2iRIkSWCwWXn75ZbZu3UqrVq2YPXs2586dY+XKlRgMBuLj49W57d+/nzVr1uDj48MHH3zAwoULefvtt/OMZ9q0aXz44Yc88cQT2Gw2TCYTAJGRkQwcOJCgoCDMZjP9+vWjXr16vP766yxbtoxp06apid0zzzyTJYGaP38+jz76KPPnz88SV3HLvGLjGzJEfR02dA6BDRup26ZUE4diy1Cj9WAUrRa30lVxoMFkTj8VOWftITbuPo9Oq8Fut3Hu/Dk0+oZoXbTY7DamLD9I5UqJaDTpBTojn8t7pUgIIYTIr3wnOD179qRUqVIsWbIEHx8fVq1axVtvvUXbtm3zdbyiKLRv357169ezYcMGFi1apCY48fHxjBgxgjNnzqDVaklISODUqVPUq1eP6tWr8+6779KyZUvatGmDh4cH/v7+nDx5ktGjR9O4cWPatGkDgM1m49NPP2Xv3r04HA6uXr3KkSNHaNWqFZs3b2bYsGEYDOn1kcqUKaPOLTAwUF2JatCgQb6uK2ratCnjx4+nXbt2tGrVilq1amE0Gvnzzz+zJE8pKSmcOHGC5s2b37bPBg0a8M033zBhwgQaN26sJnkFkdsjqwsit9NHdrsNveFmtfAbN9KTOkWjoNHoweEA5WZ7BXAoCnqDFnOaDUUBvV4PgEarwWxOS9/3b5/e3iXveu75VZxjFRdnjAmcMy5njAmcMy6J6cGV7wTn77//pm3bttkSmn379lG/fv189dG9e3d69epF48aNKV26tLp/1KhRhISEMGPGDBRF4emnnyYtLQ2tVsvSpUvZs2cPO3bsoHv37nz99df4+/uzYcMGduzYwdatW5kyZQpr167lm2++ITExkWXLluHi4sJ///tf0tLSAMir5JaLi4v6WqvVqhdDa7Va7Ha7+l5GX5BeGPPo0aPs2LGDt956ixdffJEOHTqgKArLly9Xf5EXRMOGDVm1ahXR0dGsXr2a2bNns2jRogL1URi1qNzc3NUk5/imqVn2v/PZa+r2iRPHCQsbglarw7WEF9VDhqNobiZAOq2GwT3q4eluwGQyMnnyOtz07ri7u2M0GjFZjbzVox1ubu4AxVYfxdlqsYBzxgTOGZczxgTOGZfEdP8rlFpUGbeG3+qVV17J90QqV67M22+/zcCBA7PsT0pKomLFiiiKwh9//MGZM2eA9Gtj4uPjady4MYMHD6ZWrVocP36cS5cuodVqadu2LcOHDyc+Pp4bN26QlJSEt7c3Li4uxMXFsXHjRnWMkJAQvv32W8zm9ItfM6+y5KZKlSocPHgQu91OcnIyv/32m/reyZMn8fPzo2/fvnTu3Jn9+/fj4eFBo0aNmD17ttouNjaWK1euAFCiRIksF2V7eHhk2T537hweHh6EhoYyfPhwdezitn37nnztr1HDl/DwPthsVlISr3FudxQKNtwMWgw6Df06+KsVxd3c3AkLC8dkMnLpUiwmk5GwsHA1uRFCCCEK021XcOx2Ow6HI8t/Gc6ePYtWq83j6OzCwsKy7YuIiGD06NHMmTMHPz8//PzSLzxNTk7mzTffJDU1FYfDQe3atfnPf/7Djh07mDx5sjq/AQMGUL58efr06cNbb71F165dqVChAsHBweoYAwYMYPLkyXTt2hW9Xk/VqlWZNm1annP9z3/+w48//khoaChVq1bNctfX5MmT1VNqnp6efPLJJwBMmjSJcePG0alTJyA9qfnkk0/w9vbmhRdeYMSIEbi6ujJ58mTatm3L6tWr6dKlC6GhoZQtW5ZvvvlGXTkaPXo0Gs29edh0TMwRgoMDMZmMuLm555r0vPNOJF26dOfQoYPUrl0Hb5+qXEtIpayXq5rcZPD19SMiIpLExCQ8PUtKciOEEKLIKI68zt0A/v7+6m3ht9JoNLz22mu8+eabRTI5UXCFcYoqM2dbzgSJ6UHijHE5Y0zgnHFJTPe/vE5R3XYFZ+PGjTgcDvr06ZPloXyKolCmTBlcXV0Lb6ZCCCGEEIXgtglOxYoVAdi8eXORT0YIIYQQojDk+y4qSF/N2bVrF9evX89yLc6nn35a6BMTQgghhLhT+b6CdcaMGXz44YfY7XZ++uknSpUqxe+//46np2dRzk8IIYQQosDyneCsWLGCefPmMWLECPR6PSNGjGDWrFmcP3++KOcnhBBCCFFg+U5wEhMT1RIDer0ei8VC/fr12bVrV5FNTgghhBDiTuT7GpwqVapw/PhxfH198fX1ZdGiRXh6euLl5VWU8xNCCCGEKLB8r+AMGTKEGzduADB06FAWLFjAxIkT1UKR90pISAgtWrRQyytA+uk0Pz8/Fi5cyKJFi9TilQXVv39/zp49W+Dj9u/fT0RExB2NmSEuLo4+ffrcVR9CCCHEw+q2D/q734WEhODl5cWQIUNo3bo1AH369CElJYXu3bvz/PPP3+MZFq/CfNBfUFB9LBYzer2BXbv25drOZDKqTye2OHS5Psn4fuFsD7oC54wJnDMuZ4wJnDMuien+Vyi1qBo3bpzj/szlEO6Vbt26sXLlSiC9npPJZFKvF5o+fToTJkwAYM+ePXTr1k0tjbBu3ToAlixZQvv27enSpQudOnXixIkTQHrydOzYMSD9LrJ27drRpUsXunbtSmJiIiaTicGDB9OhQwc6d+7MW2+9BcDOnTvp3r07AOfPn6dJkyZMmDCBnj170qlTJ3bv3p3v9+6VgAB/LJb0ul0Wi5mAAP8c2x07dpTJkycwc+bnjPpsHkO/+INJi/by3sxodhy6VJxTFkIIIVT5vgbHYrHkuO9eFIO8VZMmTYiKiiIhIYEffviBrl27cuDAgWzt5syZQ9++fenatSsOh0MtdPnpp5+ybt06fHx8MJvNWU53ASQkJDB37ly2b9+Oq6srycnJuLq6snnzZhITE9mwYYPaLic3btzAz8+PyMhI/vzzT9555x1+/fXX2753rwQF3awO7xsyRH3dO2I2jQKfULftdhvnzp9Do2+IYtCSYncHmwPrv5/fnLWH2Lj7PDrt7fPoyOcCCy8AIYQQD73bJjjh4eEoioLZbOa5557L8t6lS5do2LBhkU0uvxRFoX379qxfv54NGzawaNGiHBOcJk2aMHv2bC5evEjz5s1p0KABAE2bNmX48OE89dRTtGnThsqVK2c5zsPDg+rVq/Puu+/SsmVL2rRpg4eHB/7+/pw8eZLRo0fTuHFj2rRpk+P89Ho9nTt3BtJXwlxdXTl58iQeHh55vncncluqK4iMlZtbORx29IabxVXNaTYUJT0+q12BW3JdBXAoSpZjcuPtXfJuplxgxT1ecXDGmMA543LGmMA545KYHly3TXB69eoFpF8427NnT3W/oiiULVuWpk2bFt3sCqB79+706tWLxo0bU7p06Rzb9OvXj5CQEKKjo/n4449p3rw5b7/9NjNmzGD//v3s2LGDF154gVGjRqnX8wBotVqWLl3Knj172LFjB927d+frr7/G39+fDRs2sGPHDrZu3cqUKVNYu3btbefqcDhyLWCa13v5URjX4Oj1BjXJOb5papb9yz57Td02mYxMnrwON707ereS/J3ki4ObyYxOq2Fwj3r5uhanOM8JO9s5aHDOmMA543LGmMA545KY7n93VWzT19cXg8HADz/8QI0aNbh27Rpjx47l+PHjBAQEEBgYiF6vL/RJF1TlypV5++231VWZnJw6dYrq1atTpUoV3N3dWbVqFVarlYsXL1K/fn3q16/P2bNnOXz4cJYEJzk5GaPRSOPGjWncuDExMTEcP36cUqVK4eXlRdu2bWnevDktW7ZU7zTLzGKxsHbtWrp06cLu3btJS0ujevXqXL58Oc/37pVdu/bleM3NrRcau7m5ExYWzpIlUSQmJlDOYOe6oQ56rQab3UG/Dv737YXGQgghnNttE5yxY8fyxhtv0KxZMwD++9//EhcXR1hYGOvWrWPixImMGjWqqOeZL2FhYXm+v2DBAnbu3Iler8dgMPDBBx9gt9sZNmwYSUlJKIqCj49Ptlu8k5OTefPNN0lNTcXhcFC7dm3+85//sGPHDiZPngyA3W5nwIABlC9fntOnT2c5vlSpUpw5c4ZevXqRmprKZ599hsFguO1791JMzJF83UXl6+tHRETkA3UXlRBCCOd329vEmzRpwrZt2zAYDCQmJhIcHMy6deuoXr06sbGxPPPMM2zZsqW45vvAOX/+PD169GDnzp0Feu9OFeZt4uB8y5kgMT1InDEuZ4wJnDMuien+d1e3idtsNvUUVExMDN7e3lSvXh0AHx8fEhMTC3GqQgghhBB377YJTs2aNfnxxx8B2LBhQ5bn3sTFxVGy5MNxNfadqlSpUq4rNHm9J4QQQog7d9trcIYOHcrrr7/OqFGj0Gg0REVFqe9t2LCBwEB5fokQQggh7i+3TXCeeOIJNm/ezOnTp6lWrVqW57O0bt2aDh06FOkEhRBCCCEKKl9PMvbw8KBu3brZ9j/22GOFPiEhhBBCiLuV71pUQgghhBAPCklwhBBCCOF0HsgEJyQkhI4dO2Yp9Jm58ndhylwZXAghhBAPhgcywQEwGo2sXr36Xk8jV7dWJH8QtWgRRMWKFWnRIijPdtHR25g0aTzR0dtINJo5FZtIojHngp0FYTIZiYuLw2Qy3nVfQgghHi75usj4fvTGG28wffp0QkNDs5U2uHz5MmPGjOHixYukpaURGhrKa6+9xrZt21iwYAGzZ8/m2rVrNGvWjKlTp9K+fXvmzJlDUlIS77zzTp7jbtmyhS+//BKz2Yxer2f48OEEBASwc+dOxo4dyxNPPMH+/ft5/fXXuXz5MvPnz8dgMGC325k6dSo1atTg5MmTjB07luvXr2OxWOjbty89evRgzpw5xMbGMnLkSACuXr1K586d2bhxI25ubkX2WeYkcy2q5OQkAgL8iYk5kq3diy+Gs3fvHgDWb91P9aYm3Fxd1FpUTWtXuKPxjx07ytKlUVgsFvR6PWFh4fj6+t1ZMEIIIR46D2yCU7duXerWrcuiRYvo27dvlvciIyMZOHAgQUFBmM1m+vXrR7169XjiiScYOnQoFouF7du307BhQ7Zv30779u3ZsWMHr7zySp5jnj17lpkzZzJ37lw8PDw4fvw4/fv357fffgPg2LFjjBo1iv/+978ANGrUiHXr1uHj44PZbMZms2G1Whk6dCgTJ06kRo0aJCcn06NHDwICAujduzcdOnQgIiKCEiVKsGTJEjp27FjsyU3mFRvfkCHq62fenUPDgEbqdkJiAsmlW+Eb0gpF0VKiXHVQNJjM6atXc9YeYuPu8+i0t18ojHzu5vOUTCYjS5dG4ebmTtmy7hiNRpYsiSIiIhI3N/dCiFAIIYSze2ATHIAhQ4bwwgsv0LNnT3Wf0Wjkzz//JD4+Xt2XkpLCiRMnaN68OTVr1uTvv/8mOjqagQMHMnHiRMxmMwcOHLjtQwu3bdvG2bNnee6559R9VquVq1evAlC1alUaNmyovte0aVOGDx/OU089RZs2bahcuTL//PMPJ06cyLJSZLFYOHnyJDVq1CAkJITVq1fTu3dvli1bxjfffFOgzyS3mhwFkZycc50Sm82G3qDN1O5mmQ5FqwOHA5Sb7RXAoShZjsmNt/fNJ2LHxiaj0yl4e5cGoEQJFy5eNKHX27O0uxuF1c/9xBljAueMyxljAueMS2J6cD3QCc5jjz1G69atsyQBdrsdRVFYvny5WkMrs+DgYHbs2MHff//NqFGjKFu2LOvWrcPPzw8XF5fbjtmyZUs+/fTTbPtPnDiBu3vW1YUZM2awf/9+duzYwQsvvMCoUaN49NFHKV26dK7XD/Xp04eIiAjKli1LjRo11Lpf+VUYxTY9PEqqSc7xTVOz7H/ns9fU7ejoRAYOjARA5+JB3U5jUDQ3kxmdVsPgHvXyVVU8c/E3i0WD1ergypXruLunr+BYrQ4sFk2hFIlztmJz4JwxgXPG5YwxgXPGJTHd/+6q2Ob97s033yQqKoqUlBQg/aGEjRo1Yvbs2Wqb2NhYrly5AqSvqqxcuZIKFSpgMBgIDg5mxowZWWps5aZ58+Zs27aN48ePq/v27duXY1ur1cq5c+eoX78+AwYMoHnz5hw+fJjq1avj6urKqlWr1LYnTpwgOTkZgFq1alGqVCnGjh1LeHh4gT+PwvD777vytb9Zs5YEBj4BgDUtmTM7F4DdiptBi0GnoV8H/3wlN7dyc3MnLCwck8nIpUuxmExGwsLC5fSUEEKIfHugV3AAKlSoQJcuXZg3b566b9KkSYwbN45OnToBUKJECT755BO8vb1p0KAB169fV5OH4OBgPvvsM5o2bZpj/zabTV3ZqVatGhMnTuT9998nNTUVi8VCYGAg9evXz3ac3W5n2LBhJCUloSgKPj4+REREoNPpmDVrFmPHjmXu3LnY7XbKli3L1KlT1WN79erFlClTaNOmTSF9SgUXE3OEFi2CSE5OwsOjZK5Jz7x5C4mO3kZ09B80a9acugFNuJaQSlkv1ztKbjL4+voRERFJYmISnp4lJbkRQghRIIrD4bi78xlO7uuvv+bEiROMGzeu2MZ8//33qV69+m0ves5JYZyiyszZljNBYnqQOGNczhgTOGdcEtP9z6lPURWlvn378vPPPzNgwIBiGS8uLo6nn36aM2fOZLmQWQghhBAF88CfoipK3377bbGOV758eX7++ediHVMIIYRwRrKCI4QQQginIwmOEEIIIZyOJDhCCCGEcDqS4AghhBDC6Th9ghMSEkLHjh2x2+1Z9h07dqxQx4mPj6d169YcOXKzIOWpU6do2bIlcXFx+e6nT58+bN68uVDnJoQQQjxsnD7BgfT6VLmVRigsZcqU4YMPPmDYsGFYLBbsdjsjRoxg6NChlC9fPl992Gy2Ip1jQQUF1adixYoEBWV/kGFuEo1mTsUmkmg05/i+yWQkLi4Ok8lYWNMUQgghsnkoEpw33niD6dOnYzZn/6V7+fJlBg8eTM+ePenUqROzZs0C0gtrZjz/5tq1a/j5+fHjjz8CMGfOHD777LNsff3f//0fNWvW5KuvvuK7776jTJkydOnShVWrVtGpUyc6derEoEGDuHbtGgArV67k5Zdf5t1336V79+7ZVpXWr19Pjx49uHTpUqF+HvkREOCPxZL+eVksZgIC/G97zI6Dl3hvZjSTFu3lvZnR7DiUdd7Hjh1l8uQJzJz5OZMnT+D48aNFMnchhBDioXgOTt26dalbty6LFi2ib9++Wd6LjIxk4MCBBAUFYTab6devH/Xq1eOJJ55g6NChWCwWtm/fTsOGDdm+fTvt27dnx44duT5l+L///S/dunXDbrezfPlyjh07xqRJk1i5ciWPPPIIU6dO5eOPP1ZLM+zZs4fVq1dTpUqVLP3MmTOHP/74g/nz51OyZPFWfs28YuMbMkR93TtiNo3+rT11K6vNzsnYRDI/F3vO2kNs3H0enVaD3W7j3PlzaPQN0bposdltTFl+kMqVEtH8W6Az8rm8q7kLIYQQ+fVQJDgAQ4YM4YUXXqBnz57qPqPRyJ9//kl8fLy6LyUlhRMnTtC8eXNq1qzJ33//TXR0NAMHDmTixImYzWYOHDhAYGDOv4y9vLzo3LkzRqORcuXK8eOPP9K6dWseeeQRAJ555hm6dOmitg8MDMyW3EyfPp1HH32U2bNnYzAUrJ5Tbo+sLoiMlZtbORx29AZtju9ZUh0oQOYiEQrgUBT0Bi3mNBuKglrhXaPVYDanpe/7t09v7+JL5IpzrOLijDGBc8bljDGBc8YlMT24HpoE57HHHqN169Z888036j673Y6iKCxfvlz9xZtZcHAwO3bs4O+//2bUqFGULVuWdevW4efnpxbgzIlWq0WrTf+l7XA4UBQl17YlSpTIti8gIIA//viDixcvUq1atQJEWTi1qPR6g5rkHN80Ncv+ZZ+9luMxiUYz782Mxmy9eTG3TqthcI96eLobMJmMTJ68Dje9O+7u7hiNRkxWI2/1aKcW0iyu+ijOVosFnDMmcM64nDEmcM64JKb7n9Si+tebb75JVFQUKSkpAHh4eNCoUSNmz56ttomNjeXKlSsANG3alJUrV1KhQgUMBgPBwcHMmDGD4ODgfI8ZHBzMli1b1D6XLl1Ks2bN8jymZcuWjBo1igEDBnD8+PGChnnXdu3aV6D9AJ7uBvp18Meg0+Bm0GLQaejXwV+tKO7m5k5YWDgmk5FLl2IxmYyEhYVLlXAhhBBF4qFZwQGoUKECXbp0Yd68eeq+SZMmMW7cODp16gSkr6h88skneHt706BBA65fv054eDiQnqx89tlnNG3aNN9j+vr6EhERwUsvvQRA5cqV+eijj257XHBwMOPGjeP111/n888/p06dOgUJ9a7FxBwhKKg+FosZvd6QZ3KToWntCtSuVoZrCamU9XJVk5sMvr5+REREkpiYhKdnSUluhBBCFBnF4XDc3fkMcV8pjFNUmTnbciZITA8SZ4zLGWMC54xLYrr/ySkqIYQQQjxUJMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIYQQTqdYE5yQkBA6duyI3W7Psu/WKtr5cfjwYTZs2JBln5+fn/qU4tvZt28fL774Ik899RQdO3akT58+7Nq1q8DzyEvm+fTv35+zZ88Wav9CCCGEyFmxr+AYjUZWr159V31YrVYOHz7MTz/9dEfHHz16lFdffZWXXnqJjRs3sm7dOsaMGZOl6GZ+55Ffc+bMyVZU837Xt+8zVK1alb59n8mzXVTUd7z88vNERX1HotHMqdhEEo05F+w8eHA/33//LQcP7r/t+NHR25g0aTzR0dvybHfhwnm2bdvChQvnb9tnfPw1/v77b+Ljr922bVEwmYzExcVhMhnvyfhCCPGwKPZSDW+88QbTp08nNDQ0W6XsM2fOMHLkSOLj49HpdLz99tu0atUKSF8Neffdd9myZQu1atVi48aNJCcn06VLF4KCgvjggw8AWLBgAb/88gs3btzgvffe4+mnn842hzlz5tCzZ09atmyp7qtatSpVq1YFYMKECfz5559YLBZKly7N2LFjqVixIufPn6dHjx48//zzREdH07lzZ5o1a5brnDMLCQlh1qxZ1KpViz59+lC3bl1iYmK4fPky7du3Z+jQoQDMmzeP9evXY7PZcHFxYdSoUTz++OOF8+EXQECAv/r6779jCAjwJybmSLZ2rVo1JjExEYCTVxz879QjlHBzw2Z30K+DP01rV1Dbvv/+u2zYsE7dDg3tzJgxE3Ic/8UXw9m7dw8ACxfOJzDwCebNW5it3bffzuXrr2dht9vRaDQMGDCQPn1ezLHPX375iZkzpwN2QMOgQYNp2zb790dROXbsKEuXRmGxWNDr9YSFhePr61ds4wshxMOk2BOcunXrUrduXRYtWkTfvn2zvDd06FB69+5Nr169+Oeff3juuef48ccfKVOmDJBe/XvBggUA1KlTh99++41p06Zl6cPDw4MVK1bw119/MWTIkBwTnEOHDtGuXbtc59i/f38iIyMBWLZsGZMmTWLKlCkA3Lhxgxo1avDmm28C0KtXrzznnJvY2Fi+//57UlJSaNu2LT179qRatWp07dpVrVsVHR3Nhx9+yNKlS/Psq7BlXrHxDRmivn7xvwvx96+tbsddjqP8Ey9RHlAULSXKVUdRNJjMNgDmrD3Ext3n0Wk1pBhTOGaqge+TQ0ABHHDU6GDknG2UcE+vqB75XCCQvnKTkdxk2LNnN9HR22jW7GZSeuHCeb7+ehZ6vQEXFxfS0tKYPXsmISH/R8WKlbIcHx9/jZkzp+Pq6oqXV0kSEpL44otpBAY+QZkyZQvhU8ubyWRk6dIo3NzcKVs2vZr6kiVRRERESk0uIYQoAvek2OaQIUN44YUX6Nmzp7ovOTmZw4cP06NHDwBq1qzJ448/TkxMDCEhIQB069bttn136NABgICAAC5fvkxaWhouLi5Z2tyu/NbWrVuJiorCaDRmOw3l4uJC+/bt8z3n3LRr1w6NRkPJkiWpUaMGZ8+epVq1ahw4cICvvvqKhIQEFEXh9OnTt405s9xqchTEwYMHctyfYkxBb9Cq2wkJ19XXilYHDkd68pKxD3AoCnqDFtPV9GuRFEVR33Q4HJiMKZQq5Qmk10gB2Lv3zxzH37v3T7p06aBu79t3EYfDgZubKwBubq6YzWlcu3aRgICsq14XL54E7Hh5pY/h5VWS1FQjqakJeHtXy/sDKQSxscnodAre3qUBKFHChYsXTej1djXuu1VY/dxvnDEuZ4wJnDMuienBdU8SnMcee4zWrVvzzTff3Lat+gsRcHe//V+6GcmMVpv+i9hqtWZLcOrUqcO+ffto27ZttuMvXLjAuHHjWL58OZUrV2bPnj3q6SMANze3LHO63ZxvN8+MudpsNsxmM2+99RYLFy6kTp06xMXF5Xi6Ky+FUWyzTp26/P13DADHN01V9zdoEMA7vV5Vt6Msf/Ppp+nv61w8qNtpDIrmZgKk02oY3KMenu4GDh7U8Pzzb6Moihqvw+Fg1MKl1KlTD0AtANewYWNgTrZ5NWzYOEuRuLJlH0VRFEymVHUFR1EUypZ9NFsxOVdXL0BDQkKSuoIDGlxdvYql8JzFosFqdXDlynXc3d3/TZ4dWCyaQhnf2QroZXDGuJwxJnDOuCSm+999WWzzzTffJCoqSr3LyMPDg8cff5wffvgBgBMnTnDkyBEaNGiQ4/EeHh4kJd3ZF+mVV15h6dKlREdHq/tOnjzJ+vXrSU5ORq/X4+3tjd1uZ/Hixbn2U9A5347ZbMZqteLj4wNAVFTUHfVzt779NueYb90fHv4Cnp5eAFjTkjmzcwF2mxk3gxaDTkO/Dv54uqdfZ1WnTj1CQzvjcDiwWq04HA5CQzuryU1mzZq1JDDwiSz7AgOfyHJ6CqBixUoMGDAQi8VMYmICFouZAQMGZjs9BVCmTFkGDRpMamoqcXFxpKamMmjQ4GI5PQXg5uZOWFg4JpORS5diMZmMhIWFy+kpIYQoIvdkBQegQoUKdOnShXnz5qn7Jk2axMiRI5k/fz46nY5PP/0012tZgoODmTdvHp07d6Zx48bqRcb54e/vz6xZs5gyZQojR47Ezc2N0qVLM3jwYPz8/GjXrh2hoaE8+uijBAUFsXv37lz7Ksicb8fDw4PBgwfTs2dPfHx8Crx6U5hiYo7Qt+8zHDx4gDp16uaa9GzdupOoqO/YuPF/PPXUf+jYNYRrCamU9XJVk5sMY8ZM4NlnnycmZg8BAYE5JjcZ5s1bSHT0NqKj/6BZs+bZkpsMffq8SEjI/3Hy5Akee6xGjslNhrZtnyYw8AlSUxNwdfUqtuQmg6+vHxERkSQmJuHpWVKSGyGEKEKK43YXpIgHSmGcosrM2ZYzQWJ6kDhjXM4YEzhnXBLT/e++PEUlhBBCCFFUJMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIYQQTkcSnEzMZjPjx4+nbdu2tGvXjq5du/Lrr7/e62ndM507P03FihXp3DnvituTJo0jNLQtkyaNAyDRaOZUbCKJRnO2thcunGfbti1cuHD+tuPHx1/j4MEDxMdfu7MAhBBCPLTu2ZOM70ejRo3CaDSyfv16XFxcOHbsGK+88gpeXl4EBQVlaWuz2dR6V84oIMBffX327BkCAvyJiTmSZ7uFC79l/daD+LV6Ba1GwWZ30K+DP01rVwDg22/n8vXXs7Db7Wg0GgYMGEifPi/mOP4vv/zEzJnTsdmsaLU6Bg0aTNu2eSdaQgghRAZ5kvG/Lly4QMeOHdm8eTOlSpVS90dFRfHzzz/TpUsX1q9fT5kyZThx4gSffPIJZrOZSZMmqfW0Bg8eTJs2bQBYuHAh3333HSVLlqR169Z8//337Ny5E4BVq1Yxd+5cAKpUqcJHH31E2bJlWblyJevWrcPT05Pjx49TsmRJpk+fjre3d77jKIwnGXfu/DRnz54BwDdkiLrf1cWVunXrq9vnzp0l7vIldVtRtJQoVx1F0WTaB4/5eGKzWTh06AAaRYOi0eCw27E77NSuXRcXw83Co5HPBRIff42XX34BV1dXtTBlamoqc+d+VyjlFZztSZ7gnDGBc8bljDGBc8YlMd3/8nqSsazg/OvYsWNUqVIlS3IDEBAQwOeff06XLl3Ys2cPq1evpkqVKiQmJvLCCy8we/ZsHnnkES5fvkzPnj1Zt24dFy9e5KuvvmL16tWUKVOGTz75JMs4kyZNYuXKlTzyyCNMnTqVjz/+mKlTpwKwf/9+1qxZg4+PDx988AELFy7k7bffznccuX2hCyIjublValoqesPNVauEhBtZ3le0OnA4IFMxdQVwKAoWSxoAGk168qNoNNhtdiyWNDw8btZk8vYuycWLJwE7Xl4lAfDyKklqqpHU1AS8vavddXwZ4zgbZ4wJnDMuZ4wJnDMuienBJQnOv/KzkBUYGEiVKlUA2Lt3L+fPn6d///7q+4qicObMGfbu3Uvr1q3Vops9evRgzZo1AOzcuZPWrVvzyCOPAPDMM8/QpUuXLGNkVBNv0KBBlorn+VEYKzhVqlRVk5zjm6Zm2f/OZ6+p25PObGDhwm/VbZ2LB3U7jUHR3EyCdFoNg3vUI+n6ZZ555l30egMuLi6kpaVhsZiZPOSHLAUyr1xJwtXVC9CQkJCkruCABldXr0L5y8PZ/oIB54wJnDMuZ4wJnDMuien+J7Wo8qFWrVqcPXuWGzduZNkfExODn58fACVKlFD3OxwO/Pz8WL16tfrfli1bqFevHg6HA0VRyEle7wG4uNw8XaPVarHZbHcR1Z1Zs+bnfO0fOnQ4mZdrrGnJnNm5EINOg5tBi0GnoV8HfzzdDVSsWIkBAwZisZhJTEzAYjEzYMDAHKt/lylTlkGDBpOamsqVK5dJTU1l0KDBxV79WwghxINLVnD+ValSJdq1a8eoUaOYMGGCepHxrFmzmDRpEufPZ73rp2HDhpw5c4YdO3bQtGlTAPbt20e9evVo0qQJc+fOJT4+njJlyvDDDz+oxwUHBzNnzhyuXLmCt7c3S5cupVmzZsUaa37ExBxRr8WpUqVqrklPTMxhJk0ax+bNG3nyyacYOnQ4iUYz1xJSKevliqe7QW3bp8+LhIT8HydPnuCxx2rkmNxkaNv2aQIDnyA2NhYfHx9JboQQQhSIJDiZjBo1ismTJ9OhQwf0ej0uLi68//77NG7cOFuC4+XlxcyZM5k4cSJjx47FYrFQuXJlZs2ahb+/P6+88grPPPMM5cqVo1mzZpQsmX7O09fXl4iICF566SUAKleuzEcffVTssebHmjU/52s5c+jQ4f+u5qTzdDdkSWwyq1ixUp6JTWZlypSVxEYIIcQdkbuoikhycjIeHunnBadPn86ZM2eYNGlSkY9bGNfgZOZs52tBYnqQOGNczhgTOGdcEtP9T+6iugcmT57Mnj171JWd+3WVRgghhHBGkuAUkQ8//PBeT0EIIYR4aMldVEIIIYRwOpLgCCGEEMLpSIIjhBBCCKcjCY4QQgghnM59leCEhITQrl07OnfuTPv27Vm2bJn63sqVKxk8ePBdjzFs2DAWLlxYoGPOnz9PkyZN8myzc+dOunfvfjdTy6awYhZCCCEeNvfdXVTTpk2jVq1aHDt2jO7du9OqVSvKly9/r6f1UAoKqo/FYkavN7Br175c25lMRhITk/D0LImbm3uuTzIWQgghist9l+BkqFWrFp6ensTFxakJTnJyMkOGDOH48eOULFmS6dOn4+3tjc1mY9KkSWzbtg2Ali1bMnToULRaLXFxcbz33ntcv36dSpUqZantlJyczLhx4zh69ChpaWk0adKE4cOHo9Vqc5wTgMlkIjIykn/++QedTkf16tX5/PPPs7SxWq28+uqrXL9+nbS0NOrXr8/o0aMxGAysXLmSdevW4enpmS0Os9nMmDFj2LlzJ+XLl+exxx4rgk82fwIC/NXXFouZgAB/YmKOZGt37NhRli6NwmKxoNfrqdusKz/tSUCrUbDZHfTr4E/T2hWKc+pCCCHE/Zvg/PXXX5QuXRp//5u/aPfv38+aNWvw8fHhgw8+YOHChbz99tssWbKEw4cPs3LlSgD69+/PkiVLCA8PZ8yYMQQFBfHGG29w7tw5OnfuTMuWLQEYN24cQUFBfPLJJ9jtdoYOHcqKFSvo3bt3rvP6/fffSUxMZMOGDQAkJCRka6PVapk0aRKlS5fG4XAQGRnJihUrePbZZ28bx/nz51m3bh1Wq5XnnnuOSpXyV9agMAUF1Vdf+4YMUV/3jphNo8An1G273ca58+fQ6BuiddFitdk5uTMeMhUTnbP2EBt3n0enzd/Z0MjnAu8+ACGEEA+9+y7BGTx4MA6Hg3PnzjFjxgwMhpunOAIDA/Hx8QGgQYMGREdHA7B9+3a6deumtu3evTu//vor4eHh7Ny5kw8++ABIr/sUHBys9rdp0yb27dvHN998A0BqauptT4f5+/tz8uRJRo8eTePGjWnTpk22Nna7nXnz5rF161bsdjsJCQm4urreNo6dO3fStWtX9Ho9er2ezp07s2fPngJ9frk9srogLBZzjvsdDjt6w83VLXOaDUUBvV4PgEbRgjXrMQrgUJQsx+XF27vkHc25oIprnOLkjDGBc8bljDGBc8YlMT247rsEJ+ManB9//JF3332Xn3/+mXLlygHg4uKittNqterpJofDgZJp1QDItp0Th8PBzJkzqVy5cr7nV7lyZTZs2MCOHTvYunUrU6ZMYe3atVnarF27lr/++ovvv/8eDw8PZs2axenTp9X384rjbhVGLSq93qAmOcc3Tc2yf9lnr6nbJpORyZPX4aZ3x93dncQUM8cc9XEoN5MZnVbD4B718n0tTnHUSHG2WizgnDGBc8bljDGBc8YlMd3/8qpFdV/dRZVZ+/btad68ObNnz75t22bNmvHDDz9gsViwWCysWrVKXalp2rQpK1asAODcuXNs375dPS4kJITZs2erCUZ8fDznzp3Lc6xLly6h1Wpp27Ytw4cPJz4+nhs3bmRpk5SUROnSpfHw8CApKYl169blK+bg4GBWr16N1WolNTU138cVttwuKL51v5ubO2Fh4ZhMRi5disWSmkjnJuUw6DS4GbQYdBr6dfCXC42FEEIUu/tuBSeziIgIunfvTv/+/fNsFxYWxtmzZ+nWrRsALVq0UK+jef/993nvvff46aefqF69Os2bN1ePGzFiBBMnTqRLly4oioJer2fEiBF5rugcPXqUyZMnA+mnogYMGED58uWzrNB07dqVjRs3EhoaSvny5WnUqBFpaWm3jbd3794cPXqU0NBQKlSoQFBQEBcuXLjtcUUhJuZIvu6i8vX1IyIiMstdVE82lbuohBBC3FuKozDOi4j7RmGcosrM2ZYzQWJ6kDhjXM4YEzhnXBLT/e+BPEUlhBBCCHGnJMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIYQQTqfYEpwff/yRrl270qVLF9q1a0dERMRd9Xf48GG14GUGPz8/UlJS8nX8vn37ePHFF3nqqafo2LEjffr0YdeuXXc1p1tlnk///v05e/ZsofYvhBBCiJwVy5OML1++zOjRo/nhhx/w8fHB4XBw5MiRu+rz8OHD/Pbbb3To0KHAxx49epRXX32VTz/9VK0sfubMmQLPyWq1otPl7yOcM2dOged5rw0e/Cq7dv1JUFBjpk37Ktd2M2d+zsaNv/DUU//H8/1ez/MpxidOHOfQoYPUrl2HGjV88xz/woXznDx5gsceq0HFirlXVT94cD8xMXsICAikTp16efb511+7OHhwL3XqNKRRo6A825pMxixPaL7bdkIIIYpPsSQ4V69eRafTUapUKSC9EObjjz+uvr9161Y+++wzbDYbZcqU4aOPPqJq1aqsXLmS3377jWnTpgGo26NHj2batGkkJyfTpUsXgoKC1IrhCxYs4JdffuHGjRu89957PP3009nmM2fOHHr27KkmNwBVq1alatWqAEyYMIE///wTi8VC6dKlGTt2LBUrVuT8+fP06NGD559/nujoaDp37kyzZs0YOXIk8fHx6HQ63n77bVq1apVtzJCQEGbNmkWtWrXo06cPdevWJSYmhsuXL9O+fXuGDh0KwLx581i/fj02mw0XFxdGjRqV5bMqLgEB/urrrVu3EBDgT0xM9gTwiSfqYrWmlxCPt3jxZ7wfJdzdsNkd9OvgT9PaFdS2kyaNY/Hi79Xt8PA+vPNOZI7jf/vtXL7+ehZ2ux2NRsOAAQPp0+fFbO3ef/9dNmy4WbMrNLQzY8ZMyLHPN98cwLZtW9XtVq3aMG3arBzbHjt2lKVLo7BYLOj1esLCwvH19bvjdkIIIYpXsSQ4/v7+1K9fnzZt2tCkSRMCAwPp0qULpUuX5tq1a7z33nssXLiQmjVrsmzZMoYOHcqyZcty7a906dIMHjw4S/KTwcPDgxUrVvDXX38xZMiQHBOcQ4cO0a5du1z779+/P5GR6b94ly1bxqRJk5gyZQoAN27coEaNGrz55psA9OrVi969e9OrVy/++ecfnnvuOX788UfKlCmT52cSGxvL999/T0pKCm3btqVnz55Uq1aNrl278tJLLwEQHR3Nhx9+yNKlS/Psq7ANHvyq+to3ZIj6+pXRi/GtWUvdvnDxPNVbvQGAomgpUa46iqLBZE4vXjpn7SE27j6PTqvBlGriUGwZarQejKJRcNgd7LjgYNTcP3BzdQMg8rnA9H4vnOfrr2eh1xtwcXEhLS2N2bNnEhLyf1lWcg4e3M+GDetQFEWtyr5+/Rqeffb5bCs5f/21S01uNBoNdrudrVt/46+/dmVbyTGZjCxdGoWbmztly7pjNBpZsiSKiIjILCs0+W0nhBCi+BVLgqPRaJg5cybHjh1j165d/Prrr8ydO5e1a9fy999/4+/vT82aNQHo0aMHo0ePJjk5+Y7GyjhlFRAQwOXLl0lLS8PFxSVLm9uV39q6dStRUVEYjUZ1dSKDi4sL7du3ByA5OZnDhw/To0cPAGrWrMnjjz9OTEwMISEheY7Rrl07NBoNJUuWpEaNGpw9e5Zq1apx4MABvvrqKxISElAUJUsRz/zIrSZHQeza9WeO+5OSEtEbtOp2QqYq6opWBw4HKDfbK4BDUdAbtNy4YUrfp1HU/zvsDtJSTXh6ps/Z27skAPv2XcThcODm5gqAm5srZnMa165dJCDg5mrW8eMHAdTThDqdDovFwvHjB2nTplmWuR88uBdI/17M+L/dbufgwb20a5f1axUbm4xOp+DtXRqAEiVcuHjRhF5vV+dYkHbF5V6MWRycMS5njAmcMy6J6cFVrNXEa9WqRa1atXjuuefo0KEDf/75J1qtFkVRcmyv1Wqx2+3qdn4qcmckM1pt+i9iq9WaLcGpU6cO+/bto23bttmOv3DhAuPGjWP58uVUrlyZPXv2qKePANzc3HKdb4bbvZ95nhlztdlsmM1m3nrrLRYuXEidOnWIi4vL8XRXXgqj2GZQUGO2bt0CwPFNU9X9rVq15p1eA9TtmVd+Y/bsLwHQuXhQt9MYFM3NBEin1TC4Rz083Q2cOHGcsLAhaLU69HodFosVm83KuIE/qNfiZBSAK1v2URRFwWRKVVdwFEWhbNlHsxSJ8/WtA6R/jTM+w4z9txaTq1OnIYB6yivj+6pOnYbZ2losGqxWB1euXMfd3f3fRNeBxaLJ0ja/7YqDsxXQy+CMcTljTOCccUlM9797XmwzLi6OvXv3qtuXLl0iPj6eSpUq0bBhQw4fPsyJEycA+OGHH6hduzYeHh5UqVKFo0ePYjabMZvN/Pzzz2ofHh4eJCXd2RfplVdeYenSpURHR6v7Tp48yfr160lOTkav1+Pt7Y3dbmfx4sW59uPh4cHjjz/ODz/8AMCJEyc4cuQIDRo0uKN5mc1mrFYrPj4+AERFRd1RP3crtwuKb90/cOBb6HR6AKxpyZzZuQC71YybQYtBp6FfB3/1QuMaNXwJD++DzWYlNTUVm81KeHifHC80rlixEgMGDMRiMZOYmIDFYmbAgIHZLjSuU6ceoaGdcTgcWK1WHA4HoaGdc7zQuFGjIFq1agOgJjetWrXJ8UJjNzd3wsLCMZmMXLoUi8lkJCwsPNtpp/y2E0IIUfyKZQXHarUyffp0Lly4gKurK3a7nSFDhlC7dm0APv30U4YOHYrVaqVMmTJMnDgRgIYNGxIcHEzHjh2pVKkSNWrU4MqVKwAEBwczb948OnfuTOPGjdWLjPPD39+fWbNmMWXKFEaOHImbm5t6XY+fnx/t2rUjNDSURx99lKCgIHbv3p1rX5MmTWLkyJHMnz8fnU7Hp59+etvrb3Lj4eHB4MGD6dmzJz4+PgVevSlMMTFH8nUX1e7d+zPdRdWY5/uF5HoX1TvvRNKlS/d83UXVp8+LhIT8323vohozZgLPPvt8vu6imjZtVr7vovL19SMiIvK2d0flt50QQojipThud0GKeKAUximqzJxtORMkpgeJM8bljDGBc8YlMd3/7vkpKiGEEEKI4iQJjhBCCCGcjiQ4QgghhHA6kuAIIYQQwulIgiOEEEIIpyMJjhBCCCGcTrE+yfhB16tXL8xmMxaLhdOnT+Prm/4cl9q1azNu3Lh7PDshhBBCZJAEpwAyCoBmVBVfvXr1PZ5R0eratT2nT5+iWrXqrFr1Y67t1qxZyebNG3nyyafo3Lk7iUZzrg/7i47eRnT0HzRr1pxmzVrm0mO6CxfO3/ZBfwDx8deIjY3Fx8eHMmXK5tmnyWQkNjYZi0UjD+UTQggnJgnOXdqyZQtffvklZrMZvV7P8OHDCQgIYMSIEZQsWZLhw4dz9epVevfuzRdffMHjjz9OREQEp06dwmKxUKVKFcaOHYuXlxcnT55k+PDhmEwm7HY73bp14+WXX74ncQUE+KuvT58+RUCAPzExR7K1a9fuSS5digVg8+aNfLN8E+Xr90SrUbDZHfTr4E/T2hUAePHFcPbu3QPAwoXzCQx8gnnzFuY4/rffzuXrr2eptaMGDBhInz4vZmv3yy8/MXPmdGw2K1qtjkGDBtO2bfYK8gDHjh1l6dIodDoFq9VBWFg4vr5+BftghBBCPBDkScZ3IGMFZ9myZbz77rvMnTsXDw8Pjh8/Tv/+/fntt99ITU2lV69evPXWW3z//fe0bduW5557DoD4+Hi1nMOUKVOw2WwMHTqUMWPGULp0aQYNGgRAQkICXl5eBZpbYTzJOGPlBsA3ZIi639XVlbp16qvbV69d5fTpk+q2omgpUa46iqLJtA8e8/EkJSWJ48ePZhvL19cPL8+bMUY+F8iFC+d55plu6PUGtdimxWJm8eIfsqzkxMdf4+WXX8DV1VUtdpmamsrcud9lW8kxmYxMnjwBNzd3vL1Lc+XKdUwmIxERkU6xkuNsTyfN4IxxOWNM4JxxSUz3v7yeZCwrOHdh27ZtnD17Vk1cIL3u1tWrVylXrhxTp06lZ8+etGjRIkub1atXs3btWiwWC0ajkWrVqgEQFBTEhAkTsFgsNGnShKZNmxZ4Trl9oQsiI7m5VWpqKnrDzWrhiQk3sryvaHXgcECmYuoK4FAUkpMTc+wzOTmRcuVu1u7y9i7Jvn0XcTgcuLm5AuDm5orZnMa1axcJCHhcbXvx4knAjpdXSQC8vEqSmmokNTUBb+9qWcaJjU1Gp1Pw9i797ziluXjRhF5vx9u7ZF4fxwPDWeK4lTPG5YwxgXPGJTE9uCTBuUstW7bk008/zfG9EydOUKJECa5cuYLVakWn07F7924WLVrE4sWLKVOmDGvXrmXp0qUAPP300wQEBPDHH38wZ84cVqxYwaRJkwo0n8JYwalWrbqa5BzfNDXL/nc+e03dXrPmBCNH3nxf5+JB3U5jUDQ3kyCdVsPgHvU4EGNk4MDIbGO9PXMOzZrdrL5+5UoSZcs+iqIomEyp6gqOoiiULftolr88XF29AA0JCUnqCg5ocHX1yvYXisWiwWp1cOXKdXUFx2p1YLFonOKvGWf7qyyDM8bljDGBc8YlMd3/pBZVEWnevDnbtm3j+PHj6r59+/YBcO7cOcaOHcvChQupWrUqU6dOBSAxMREPDw9KlSqF2WxmxYoV6rFnzpzB29ub7t27M2jQIPbv31+s8WTI7YLiW/d37twdH59H1W1rWjIJx9Zh0GlwM2gx6DT06+CPp7uBZs1aEhj4RJbjAwOfyPFC44oVKzFgwEAsFjOJiQlYLGYGDBiY7ULjMmXKMmjQYFJTU7ly5TKpqakMGjQ4xwuN3dzcCQsLx2QycvHiRUwmI2Fh4U5xekoIIUR2cg3OHci4Bmfnzp38/vvvTJs2jdTUVCwWC4GBgXz44YeEh4fTt29fOnXqhNFopGfPnkRGRtK8eXOGDh3K4cOHKV++PHXr1mX//v0sWLCAWbNmsXbtWvR6PYqiMGTIEFq3bl2guRVmNXFnvYtKr7c73V1UzvZXWQZnjMsZYwLnjEtiuv/ltYIjCY6TKcwEB5zvHwNITA8SZ4zLGWMC54xLYrr/ySkqIYQQQjxUJMERQgghhNORBEcIIYQQTkcSHCGEEEI4HUlwhBBCCOF0JMERQgghhNORBEcIIYQQTuehT3BefvllFi9enGWfw+EgJCSEF154gd27dxe4z/379xMREXHbdnFxcfTp06fA/QshhBAibw99gtOjRw9WrlyZZd/OnTvR6XR89913PPHEE9mOsVqtefZZr149Jk+efNuxy5cvz4IFCwo24WLUokUQFStWpEWLoDzbbd78Kx999F82b/4VgESjmVOxiSQazcUxTSGEECKbh77YZtu2bRk9ejT//PMPNWvWBGDl/7d370FN3WkfwL9JMKEhAqKAUStUtyKiS4KBWPEG1DtWt9rKqHTFlm5blFfULVjsWlFQugqKo9up19m61XoJFy0qbUVqVW4WRMvYpb5eAClUEDHcAsnv/YOXU1NAQagxp89nxplzP8+TZ0ae+Z2T/DQavPrqqwgMDMSSJUvg4+ODiIgIWFlZ4ebNm7h37x40Gg3i4+ORmpoKW1tbeHl54eLFi9BoNMjKykJsbCw0Gg03rUNAQAAyMjJQX1+P6OhoqFQqoykfAGDlypW4ceMGmpqaMHjwYMTExMDGxsYkn4tCMZxb1mofQKEYjvz8a22Omz9/Dn78sWW7RnMEbmNmo/efpkMkFEBvYFg8YzjGjOj/1OImhBBCAGpwIBaLMWvWLGg0Grz//vvQarX4+uuvcfLkSZw/f97o2Ly8PBw4cABSqRRnzpxBeno6kpOTYWlpidDQ0A7vUV1dDYVCgbCwMKSkpGDz5s1tHosBQGRkJOzs7AAA8fHx2LVrF1atWtWzCXfCwyM2L/ou55YD/r4LSsVobr26+h4MA6fhxYHTAAACgQjifi9A12zgjtl1vBDf5JbAQtS5wcLwhR7djJ4QQgihBgcAMG/ePLz11ltYsWIFTp48idGjR8PR0bHNcdOmTYNU2jJBY1ZWFqZPn86tz5kzBzt37mz3+lKpFD4+PgAAhUKB2NjYdo9LTk7G8ePH0dTUhLq6Ojg7O3c5l47m5OgKrbb9eUr0ej16iUXces2DGqP9ApEFwBggeGgbACYQGJ33KPb2vbsc75N4Wvd5mviYE8DPvPiYE8DPvCgn80UNDoDhw4fD3t4e586dw7Fjx7B48eJ2j2ttZoCWF5EFAkG7x/2WWPzrjNpCobDdd3hyc3Nx8OBBHDp0CHZ2djh+/DgOHz7ctUTQM5NtymS9uSan6MxWo+0r4t7h1tPTf0FY2Gpu3UIiw8hZGyAQ/trMWIiECJ07qs2s4h15GpPA8W2yOYCfOQH8zIuPOQH8zItyevbRZJudMHfuXGzfvh03b96Er6/vY49Xq9U4deoU6uvrYTAYkJKS0q3719TUQCaTwdbWFjqdDseOHevW9brju+9yOrXdx+dlDB8+gltvbtSiqeQMxBZCPCcWQWwhxOIZwzvd3BBCCCE9hUZw/t+sWbPw8ccfY/78+UYjLh3x8/NDXl4eZs+eDUdHR7i7u+P+/ftPfP8JEyYgJSUF06dPh6OjI0aOHIkrV6488fW6Kz//GsaN84RW+wAyWe8Om55DhzRIT/8a585lYPz4ifDxeRk1dTpU3m9AXxtLam4IIYSYhIAx1r3nGX9gWq0WMpkMBoMBkZGRcHBwQFhYmElj6olHVA/j23AmQDmZEz7mxcecAH7mRTk9+x71iIpGcLohPDwcpaWlaGhogJubG4KDg00dEiGEEEJADU637Nixw9QhEEIIIaQd9JIxIYQQQniHGhxCCCGE8A41OIQQQgjhHWpwCCGEEMI71OAQQgghhHfMosGJj4/H2rVrufX09HS4uLigqKiI2/a3v/0NR44c6dJ1NRpNh5NkfvPNNx3OGdVZJSUl+OKLL7p1DVPy8nLHwIED4eXl/sjjqqoq8cMPV1FVVQkAqKnT4UZZDWrqdE8jTEIIIaQNs/iauFqtxvr167n17OxsuLu7Izs7Gy+++CL0ej0uXbqENWvW9Ng9/fz84Ofn161rlJaW4osvvsD8+fN7KKqnR6EYzi3rdI1QKIYjP/9am+O++uoUdu7cDr2+GSKRBWYG/A9yi8UQCQXQGxgWzxiOMSP6P83QCSGEEPNocDw8PFBSUoK7d++iX79+yMnJQUhICBITE7Fw4UIUFhZCJpPh888/R3Z2NpqamtCnTx/ExMRg4MCBqKysxMqVK1FZ2TLC8NJLL+GDDz4A0PJrxMuXL0dRURF69+6N7du3w97eHhqNBmfPnkVCQgKysrIQExMDd3d35OXlQSAQID4+HkOHDgXQMsKUmpoKW1tbeHl54eLFi9BoNIiKikJJSQlmz54NJycnJCQkoKCgANHR0airq4NUKkVkZCT+/Oc/o6SkBHPnzkVAQAAyMjJQX1+P6OhoqFSqp/55Pzxi86Lvcm55/spP4eHxazxNzU348cdyWLsFQCQUQm8Azv+vEAKBgTtm1/FCfJNbAgtR5wYLwxd6dD8BQgghf3hm0eBYWlpi1KhRyM7OxoQJE1BfX48JEyZg48aNAFpGdNRqNYKDgxEeHg4AOHLkCDZv3oz4+HgcP34cAwYMwP79+wHAaM6oK1euICUlBXK5HGvWrMGBAwfanW7hp59+wsaNGxEVFYV//etf2LlzJ7Zs2YIzZ84gPT0dycnJsLS0NHrk9Y9//AOxsbHQaDQAAJ1Oh9DQUMTExGDs2LG4ePEiQkNDkZaWBgCorq6GQqFAWFgYUlJSsHnzZhw6dKhLn1VHP1ndFTpdY7vbDcyAXuJfZwpv1NUDYLCwaNkmElngt5NECAAwgcDovEext+/9BBF33dO6z9PEx5wAfubFx5wAfuZFOZkvs2hwgJbHVFlZWbCyssLo0aMhEong5OSEoqIiZGdnY8qUKfj222/x+eefo66uDs3Nzdy57u7u2LdvH2JjY+Hl5YVx48Zx+zw8PCCXy7njLly40O79X3jhBYwY0TJztkKhQHp6OgAgKysL06dPh1QqBQDMmTMHO3fubPcaN27cQK9evTB27FgALSNJvXr1wo0bN2BlZQWpVAofHx/uHk/yDlBPzEUlFku4JqfozFaj7Ufi3uHWq6oq8eabMbC0tIRUKkV9owGWrm8AD43WWIiECJ07qtOTbj6NOVL4NhcLwM+cAH7mxcecAH7mRTk9+x41F5VZvGQMAF5eXsjOzkZOTg48PT0BAJ6ensjMzMSlS5fw/PPPY+PGjdiyZQtOnDiBmJgY6HQtL7kqlUokJSVh5MiRSE5OxhtvvMFdVyKRcMsikQh6vb7d+z88w7hQKOQaKMYYBAJBp3Lo6NjWbR3d42nLzr7cqe12dn0REhKKhoYG/PJLBRpqq+H9JwHEFkI8JxZBbCHE4hnDaUZxQgghT53ZjOB4eHigtLQUaWlpCAwMBACoVCqsXr0a1tbWsLGxQa9evWBvbw+DwWD0aKe4uBj9+/fHzJkzoVKpMHnyZBgMho5u1SVqtRrbt2/HX//6V0gkEqSkpHD7ZDIZtFottz5kyBDodDpkZmZizJgxyMzMRHNzM5ydnVFRUdEj8fSU/Pxr8PJyh07XCLFY0mHT8/LLU+HhoUJZWRnkcjns7Pri9TodKu83oK+NJTU3hBBCTMJsGhyJRAJ3d3eUl5fD0dERADBq1CiUl5dj2rRpcHFxwbRp0zBz5kwMGDAAnp6eyM3NBdDyjs6+ffsgEolgMBiwbt06CIU9M3jl5+eHvLw8zJ49G46OjnB3d+fe8XFxccELL7wAf39/DBkyBAkJCUhISDB6yXjbtm1GIzfPkuzsy50azrSz6ws7u77curVUTI0NIYQQkxIwxrr3wgaBVquFTCaDwWBAZGQkHBwc2n1R+WnoiXdwHsa357UA5WRO+JgXH3MC+JkX5fTse9Q7OGYzgvMsCw8PR2lpKRoaGuDm5obg4GBTh0QIIYT8oVGD0wN27Nhh6hAIIYQQ8hCz+RYVIYQQQkhnUYNDCCGEEN6hBocQQgghvEMNDiGEEEJ4hxocQgghhPAONTiEEEII4R36mjjPCIWdmxfL1Nc0NcrJfPAxLz7mBPAzL8rp2faoXOiXjAkhhBDCO/SIihBCCCG8Qw0OIYQQQniHGhxCCCGE8A41OIQQQgjhHWpwCCGEEMI71OAQQgghhHeowSGEEEII71CDQwghhBDeoQaHEEIIIbxDUzWQdt24cQMRERGorq6Gra0tYmNj4ezsbOqwusXX1xdisRgSiQQAsGrVKowfP97EUXVdbGwsTp8+jdLSUhw/fhzDhg0DYN416ygnc67ZvXv38P777+P27dsQi8VwcnJCVFQU7OzszLZWj8rJnGsFAO+99x5KSkogFAohlUrx4YcfwtXV1WxrBXSck7nXqtMYIe0IDAxkSUlJjDHGkpKSWGBgoIkj6j4fHx/2448/mjqMbsvJyWF37txpk48516yjnMy5Zvfu3WOZmZnc+qZNm9jq1asZY+Zbq0flZM61Yoyxmpoabvmrr75ic+bMYYyZb60Y6zgnc69VZ9EjKtJGZWUlCgsL4e/vDwDw9/dHYWEhqqqqTBwZAQCVSgW5XG60zdxr1l5O5s7W1hZqtZpbVygUuHPnjlnXqqOc+KB3797cslarhUAgMOtaAe3n9EdCj6hIG2VlZXB0dIRIJAIAiEQiODg4oKysDHZ2diaOrntWrVoFxhhGjx6NFStWwNra2tQh9Qiq2bPNYDDg4MGD8PX15U2tHs6plbnXKjIyEufPnwdjDLt37+ZFrX6bUytzr1Vn0AgO+cP4z3/+g5SUFBw7dgyMMURFRZk6JPIYfKnZ+vXrIZVKsWjRIlOH0mN+mxMfahUdHY2zZ88iLCwMH3/8sanD6RHt5cSHWnUGNTikDblcjvLycuj1egCAXq9HRUWF2T9CaI1fLBZjwYIF+P77700cUc+hmj27YmNjcevWLWzduhVCoZAXtfptTgA/atVqzpw5yMrKQv/+/c2+Vq1ac7p37x6vavUo1OCQNvr27QtXV1ecOHECAHDixAm4urqazZBse+rq6vDgwQMAAGMMqampcHV1NXFUPYdq9myKj4/H1atXsWPHDojFYgDmX6v2cjL3WtXW1qKsrIxbP3PmDGxsbMy6Vh3lJJFIzLpWXSFgjDFTB0GePdevX0dERARqampgbW2N2NhYDBkyxNRhPbHi4mIsW7YMer0eBoMBQ4cOxZo1a+Dg4GDq0Lpsw4YNSEtLw927d9GnTx/Y2triyy+/NOuatZfTJ598YtY1Kyoqgr+/P5ydnWFpaQkAGDRoEHbs2GG2teoop4iICLOu1d27d/Hee++hvr4eQqEQNjY2CA8Ph5ubm9nWqqOcrK2tzbpWXUENDiGEEEJ4hx5REUIIIYR3qMEhhBBCCO9Qg0MIIYQQ3qEGhxBCCCG8Qw0OIYQQQniHGhxCyDMlIiIC8fHxJrk3YwyrV6+Gp6cn5s2b16VzXVxccOvWrR6LxdfXFxcuXOix6/1etm/fjlWrVpk6DELaoAaHEPJIvr6+GDt2LOrq6rhtR44cQWBgoAmj+n1cunQJ58+fR0ZGBo4ePWrqcLqEMQY/Pz/MmDGjzb7fNl9ZWVmYMGHC0wyPkKeOGhxCyGPp9Xr8+9//NnUYXdb6E/udVVpaioEDB0Iqlf5OET1ec3PzE52Xk5ODqqoqFBcXo6CgoIejIsT8UINDCHmsN998E3v37kVNTU2bfSUlJXBxcTH6wxwYGIgjR44AADQaDQICAhATEwOVSgU/Pz98//330Gg0mDhxIl566SUkJiYaXfPevXsICgqCUqnEokWLUFpayu27fv06goKC4OXlhalTpyI1NZXbFxERgbVr1yI4OBgKhQJZWVlt4i0vL8c777wDLy8vTJ48GYcPHwbQMiq1Zs0a5OfnQ6lUIiEhoc25t27dwqJFizB69Gio1WosX77caP+FCxcwZcoUeHp6Yt26dWj9HdXbt2/jjTfegFqthlqtxsqVK40+S19fX3z66aeYNWsWFApFmybn+vXr8PX1xZdfftkmplaJiYnw9fXFxIkTkZSUxG1fuHAhAGD27NlQKpVITExEcHAwKioqoFQqoVQqUV5ejoKCAsyfPx8qlQrjxo1DVFQUdDodd52ioiLucx87diw++eSTNjE0NTVhxYoVWLZsGXQ6HQoKCvDqq6/Cw8MDY8eOxcaNGzuMn5Aexwgh5BF8fHzY+fPnWUhICIuLi2OMMXb48GG2aNEixhhjxcXFbNiwYaypqYk7Z9GiRezw4cOMMcaOHTvGXF1d2dGjR1lzczOLi4tjEydOZB999BFrbGxk586dYwqFgmm1WsYYY+Hh4UyhULDs7GzW2NjI1q9fzwICAhhjjNXW1rIJEyawo0ePsqamJnb16lXm5eXF/vvf/3Lnenh4sNzcXKbX61lDQ0ObfBYuXMjWrl3LGhoaWGFhIVOr1ezChQtcrK33ak9YWBjbuXMnd+2cnBxu37Bhw9jbb7/N7t+/z0pLS5larWYZGRmMMcZu3rzJvvvuO9bY2MgqKyvZggUL2IYNG4w+41deeYXduXOH1dfXG33uV69eZRMnTmRnzpzpMK66ujqmVCrZ2bNn2alTp5iXlxdrbGw0iu3mzZvcemZmJhs/frzRNa5cucLy8vJYU1MTKy4uZtOmTWP79u1jjDH24MED5u3tzfbs2cMaGhrYgwcPWH5+PmOMsYSEBLZy5UpWX1/PgoODWXh4OGtubmaMMfb666+zxMRExhhjWq2W5eXldZgDIT2NRnAIIZ0SGhqKAwcOoKqqqsvnDho0CHPnzoVIJMKMGTNQVlaGkJAQiMVijBs3DmKxGLdv3+aOnzRpEjw9PSEWixEWFob8/HyUlZXh7NmzGDhwIObOnQsLCwu4ublh6tSpOH36NHeun58fRo8eDaFQCIlEYhRHWVkZLl26hFWrVkEikcDV1RWvvfYakpOTO5WHhYUF7ty5g4qKCkgkEqhUKqP9wcHBsLa2xoABA6BWq3Ht2jUAgJOTE7y9vSEWi2FnZ4egoCDk5OQYnRsYGAi5XM7N8QQAubm5ePfdd7Fp0yb4+Ph0GFdaWhrEYjG8vb3h4+MDvV6PjIyMTuXUauTIkVAoFLCwsMCgQYMwf/58LsazZ8+iX79+WLJkCSQSCWQyGdzd3blztVot3nrrLQwePBgbN26ESCTiPq/bt2+jqqoKVlZWUCgUXYqJkO6wMHUAhBDzMGzYMEyaNAmffvophg4d2qVz+/btyy23/gHv168ft00ikaC2tpZb79+/P7dsZWUFGxsbVFRUoLS0FAUFBUaNhV6vxyuvvMKty+XyDuOoqKiAjY0NZDIZt23AgAG4evVqp/L4+9//jm3btmHevHmwsbFBUFCQ0bet7O3tueXnnnuOy6myshIbNmxAbm4uamtrwRiDtbW10bXbi/vQoUPw9PTEmDFjHhlXUlISpk+fDguLlv/SJ0+ejMTEREyePLlTeQHAjRs3sGnTJly9ehX19fXQ6/Vwc3MD0NIYDh48uMNzL1++jObmZmzZsgUCgYDbHh0djYSEBEyfPh2DBg3C0qVLH9moEdKTqMEhhHRaaGgo/vKXv2DJkiXcttYXchsaGrjG4ZdffunWfX7++Wduuba2Fvfv34eDgwPkcjk8PT2xb9++J7qug4MD7t+/D61Wy8VaVlYGR0fHTp1vb2+PDRs2AGgZXQkKCoKnpyecnJweeV7rH/6UlBT06dMHX3/9NaKiooyOebgxaLVu3Trs2rULMTEx+OCDD9q99s8//4zMzEwUFBQgLS0NAFBfXw+dToeqqirY2dm1Oae9e3300UcYMWIEtmzZAplMhv3793MjY3K5/JHv/3h7e8PFxQWLFy/GZ599xjWvzs7OiIuLg8FgQFpaGkJDQ5GVlWXSl7jJHwc9oiKEdJqTkxNmzJiBzz77jNtmZ2cHR0dHJCcnQ6/X4+jRoyguLu7WfTIyMpCbmwudTodt27bB3d0dcrkckyZNws2bN5GUlISmpiY0NTWhoKAA169f79R15XI5lEol4uLi0NjYiGvXruHo0aOYNWtWp84/efIk13zZ2NhAIBBAKHz8f6O1tbWQSqWwtrZGeXk5du/e3an7WVlZYffu3cjNzcXmzZvbPSY5ORnOzs44deoUkpKSkJSUhNOnT8PR0ZFrSvr162dUk759+6K6uhoPHjwwitHKygpWVla4fv06Dh48yO2bNGkS7t69i/3790On00Gr1eLy5ctGcQQHB8Pf3x+LFy/mHmMmJyejqqoKQqGQG7FqfXxFyO+NGhxCSJeEhIQY/SYOAKxfvx579uyBWq3GTz/9BKVS2a17+Pv7Y8eOHVCr1fjhhx/wz3/+EwAgk8mwZ88epKamYvz48Rg3bhw2b95s9G2fx4mLi0NpaSnGjx+PpUuXYtmyZfD29u7UuVeuXMFrr70GpVKJd999F5GRkXj++ecfe97SpUtRWFgIlUqFt99+G1OmTOl0vNbW1ti7dy++/fZbbN26tc3+xMRELFiwAPb29kb/AgICuG+nLV26FBEREVCpVEhNTcXQoUMxc+ZMvPzyy1CpVCgvL0d4eDhOnDgBDw8PfPjhh0a/pyOTybB3716kp6fD29sbU6dObfcbaiEhIfDz80NQUBCqq6tx7tw5zJw5E0qlEtHR0YiPj2/zXhQhvxcBY///PUZCCCGEEJ6gERxCCCGE8A41OIQQQgjhHWpwCCGEEMI71OAQQgghhHeowSGEEEII71CDQwghhBDeoQaHEEIIIbxDDQ4hhBBCeIcaHEIIIYTwzv8BgRZt4dSPpYoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nb_pp_state_df = summarize_pp_df(nb_pp_full_df, level=\"State\")\n",
    "ax = (nb_pp_state_df.reset_index()\n",
    "                    .plot.scatter(\"mean\", \"State\", color='C0',\n",
    "                                  xerr=nb_pp_state_df[[\"low\", \"high\"]]\n",
    "                                                     .sub(nb_pp_state_df[\"mean\"],\n",
    "                                                          axis=0)\n",
    "                                                     .abs()\n",
    "                                                     .values.T,\n",
    "                                  zorder=5,\n",
    "                                  label=\"Posterior predictive mean\"))\n",
    "(attacks_df.reset_index()\n",
    "           .plot.scatter(\"Attacks\", \"State\",\n",
    "                         color='k', alpha=0.5,\n",
    "                         label=\"Actual\", ax=ax));\n",
    "\n",
    "ax.set_xlabel(\"Number of shark Attacks\");\n",
    "ax.invert_yaxis();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "106cad01",
   "metadata": {},
   "source": [
    "The predictions from this model are particularly bad for states like California, Florida, Hawaii, and the Carolinas, where years with many shark attacks are relatively more common than they are for other states."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93458ca7",
   "metadata": {},
   "source": [
    "### Negative Binomial Regression\n",
    "\n",
    "California, Florida, and to a lesser extent the Carolinas are similar in that they have relatively large populations.  All of these states are similar in that their population is relatively concentrated on the coast.\n",
    "\n",
    "The table below shows that overdispersion is still quite prevalent when we condition on state, so will use [negative binomial regression](https://en.wikipedia.org/wiki/Poisson_regression#Overdispersion_and_zero_inflation) to account for the effect of state-level factors on the number of attacks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2ac2a762",
   "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>Attacks</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>1.090395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>1.408464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>0.966102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>8.373881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>1.090395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>3.457544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>0.915254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>1.254237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>1.457627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>2.342930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>1.156634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>2.382694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>1.917465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>0.881356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>0.983051</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Attacks\n",
       "State                   \n",
       "Alabama         1.090395\n",
       "California      1.408464\n",
       "Connecticut     1.000000\n",
       "Delaware        0.966102\n",
       "Florida         8.373881\n",
       "Georgia         1.090395\n",
       "Hawaii          3.457544\n",
       "Louisiana       0.915254\n",
       "Maine           1.000000\n",
       "Massachusetts   1.254237\n",
       "Mississippi     1.000000\n",
       "New Jersey      1.457627\n",
       "New York        2.000000\n",
       "North Carolina  2.342930\n",
       "Oregon          1.156634\n",
       "Rhode Island    1.000000\n",
       "South Carolina  2.382694\n",
       "Texas           1.917465\n",
       "Virginia        0.881356\n",
       "Washington      0.983051"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(attacks_df.groupby(level=\"State\")\n",
    "           .var()\n",
    "           .div(attacks_df.groupby(\"State\")\n",
    "                          .mean()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b701351d",
   "metadata": {},
   "source": [
    "First we load state-leve population and coastline data from Wikipedia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "418e9bd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "POP_URL = \"https://en.wikipedia.org/wiki/List_of_U.S._states_and_territories_by_historical_population\"\n",
    "\n",
    "population = (pd.read_html(POP_URL)[3]\n",
    "                .iloc[:-1]\n",
    "                .melt(id_vars=\"Name\",\n",
    "                      var_name=\"Year\",\n",
    "                      value_name=\"Population\")\n",
    "                .rename(columns={\"Name\": \"State\"})\n",
    "                .fillna(0)\n",
    "                .astype({\n",
    "                    \"Year\": np.int64,\n",
    "                    \"Population\": np.float64\n",
    "                })\n",
    "                .set_index([\"State\", \"Year\"])\n",
    "                .sort_index()\n",
    "                [\"Population\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "7ce39bf6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State    Year\n",
       "Alabama  1960    3266740.0\n",
       "         1970    3444165.0\n",
       "         1980    3893888.0\n",
       "         1990    4040587.0\n",
       "         2000    4447100.0\n",
       "Name: Population, dtype: float64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e61ba515",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "State    Year\n",
       "Wyoming  1980    469557.0\n",
       "         1990    453588.0\n",
       "         2000    493782.0\n",
       "         2010    563626.0\n",
       "         2020    576851.0\n",
       "Name: Population, dtype: float64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e87b111d",
   "metadata": {},
   "source": [
    "The series `population` contains the population of each state according to the United States census conducted every ten years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "abccbfbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "COAST_URL = \"https://en.wikipedia.org/wiki/List_of_U.S._states_and_territories_by_coastline\"\n",
    "\n",
    "coast_df, _ = pd.read_html(COAST_URL)\n",
    "coast_df = (coast_df[[\"State or territory\", \"Method 1 (CRS)\", \"Coast/area ratio (ft/mi2)\"]]\n",
    "                    .iloc[:-1])\n",
    "coast_df.columns = coast_df.columns.droplevel(0)\n",
    "coast_df = coast_df.drop([\"Rank\", \"Method 2\"], axis=1)\n",
    "coast_df = (coast_df.rename(columns={\n",
    "                        \"State or territory\": \"State\",\n",
    "                        \"Method 1\": \"Coastline to area\"\n",
    "                    })\n",
    "                    .set_index(\"State\")\n",
    "                    .sort_index())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "c52908ab",
   "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>Coastline</th>\n",
       "      <th>Coastline to area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>53 mi (85 km)</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>6,640 mi (10,690 km)</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>–</td>\n",
       "      <td>–</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>840 mi (1,350 km)</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>96 mi (154 km)</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Coastline Coastline to area\n",
       "State                                                 \n",
       "Alabama                53 mi (85 km)               5.3\n",
       "Alaska          6,640 mi (10,690 km)                53\n",
       "American Samoa                     –                 –\n",
       "California         840 mi (1,350 km)                27\n",
       "Connecticut           96 mi (154 km)                91"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coast_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "2e9ecf23",
   "metadata": {},
   "outputs": [],
   "source": [
    "coast_df[\"Coastline\"] = (\n",
    "    coast_df[\"Coastline\"]\n",
    "            .str.split(expand=True)\n",
    "            .iloc[:, 0]\n",
    "            .str.replace(\",\", \"\")\n",
    "            .str.replace(\"[–—]\", \"0\", regex=True)\n",
    "            .astype(np.float64)\n",
    ")\n",
    "coast_df[\"Coastline to area\"] = (\n",
    "    coast_df[\"Coastline to area\"]\n",
    "            .astype(str)\n",
    "            .str.replace(\"[–—]\", \"-1\", regex=True)\n",
    "            .astype(np.float64)\n",
    "            .replace(-1, np.nan)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "16b8857f",
   "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>Coastline</th>\n",
       "      <th>Coastline to area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>6640.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>840.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>96.0</td>\n",
       "      <td>91.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Coastline  Coastline to area\n",
       "State                                       \n",
       "Alabama              53.0                5.3\n",
       "Alaska             6640.0               53.0\n",
       "American Samoa        0.0                NaN\n",
       "California          840.0               27.0\n",
       "Connecticut          96.0               91.0"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coast_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "a6ce0425",
   "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>Coastline</th>\n",
       "      <th>Coastline to area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>U.S. Minor Outlying Islands</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U.S. Virgin Islands</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>112.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Coastline  Coastline to area\n",
       "State                                                    \n",
       "U.S. Minor Outlying Islands        0.0                NaN\n",
       "U.S. Virgin Islands                0.0                NaN\n",
       "Virginia                         112.0               14.0\n",
       "Washington                       157.0               12.0\n",
       "Wisconsin                          0.0                NaN"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coast_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceddaaae",
   "metadata": {},
   "source": [
    "The data frame `coast_df` contains the length of a state's coastline (in miles) as well as the ratio of its coastline to area (in square miles)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c8b7128",
   "metadata": {},
   "source": [
    "We now combine `attacks`, `population`, and `coast_df` into a single data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "36231b24",
   "metadata": {},
   "outputs": [],
   "source": [
    "attacks_df = (attacks_df.merge(coast_df,\n",
    "                               left_index=True, right_index=True)\n",
    "                        .merge(population, how='left',\n",
    "                               left_index=True, right_index=True)\n",
    "                        .fillna(method='ffill'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "9f50c80f",
   "metadata": {},
   "outputs": [],
   "source": [
    "attacks_df[\"Population to coastline\"] = attacks_df[\"Population\"] / attacks_df[\"Coastline\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b8a6acb2",
   "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></th>\n",
       "      <th>Attacks</th>\n",
       "      <th>Coastline</th>\n",
       "      <th>Coastline to area</th>\n",
       "      <th>Population</th>\n",
       "      <th>Population to coastline</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Alabama</th>\n",
       "      <th>1960</th>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>3266740.0</td>\n",
       "      <td>61636.603774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>3266740.0</td>\n",
       "      <td>61636.603774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962</th>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>3266740.0</td>\n",
       "      <td>61636.603774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1963</th>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>3266740.0</td>\n",
       "      <td>61636.603774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>3266740.0</td>\n",
       "      <td>61636.603774</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Attacks  Coastline  Coastline to area  Population  \\\n",
       "State   Year                                                      \n",
       "Alabama 1960        0       53.0                5.3   3266740.0   \n",
       "        1961        0       53.0                5.3   3266740.0   \n",
       "        1962        0       53.0                5.3   3266740.0   \n",
       "        1963        0       53.0                5.3   3266740.0   \n",
       "        1964        0       53.0                5.3   3266740.0   \n",
       "\n",
       "              Population to coastline  \n",
       "State   Year                           \n",
       "Alabama 1960             61636.603774  \n",
       "        1961             61636.603774  \n",
       "        1962             61636.603774  \n",
       "        1963             61636.603774  \n",
       "        1964             61636.603774  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "a3428fc3",
   "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></th>\n",
       "      <th>Attacks</th>\n",
       "      <th>Coastline</th>\n",
       "      <th>Coastline to area</th>\n",
       "      <th>Population</th>\n",
       "      <th>Population to coastline</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Washington</th>\n",
       "      <th>2015</th>\n",
       "      <td>0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6724540.0</td>\n",
       "      <td>42831.464968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6724540.0</td>\n",
       "      <td>42831.464968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>1</td>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6724540.0</td>\n",
       "      <td>42831.464968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6724540.0</td>\n",
       "      <td>42831.464968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6724540.0</td>\n",
       "      <td>42831.464968</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Attacks  Coastline  Coastline to area  Population  \\\n",
       "State      Year                                                      \n",
       "Washington 2015        0      157.0               12.0   6724540.0   \n",
       "           2016        0      157.0               12.0   6724540.0   \n",
       "           2017        1      157.0               12.0   6724540.0   \n",
       "           2018        0      157.0               12.0   6724540.0   \n",
       "           2019        0      157.0               12.0   6724540.0   \n",
       "\n",
       "                 Population to coastline  \n",
       "State      Year                           \n",
       "Washington 2015             42831.464968  \n",
       "           2016             42831.464968  \n",
       "           2017             42831.464968  \n",
       "           2018             42831.464968  \n",
       "           2019             42831.464968  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attacks_df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42000ca7",
   "metadata": {},
   "source": [
    "Here the population data is from the most recent United States census prior to the year in question (thanks to `fillna(method='ffill')`.  Below we plot the relationship between the four explanatory variables and the number of attacks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "93668d68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, nrows=2, sharey=True,\n",
    "                         figsize=(12, 9))\n",
    "\n",
    "for col, ax in zip(attacks_df.columns[1:], axes.ravel()):\n",
    "    attacks_df.plot.scatter(col, \"Attacks\",\n",
    "                            color='C0', alpha=0.5,\n",
    "                            ax=ax);\n",
    "    \n",
    "    ax.set_xscale('log');\n",
    "    ax.set_yscale('log');\n",
    "\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16759b7a",
   "metadata": {},
   "source": [
    "The top two and bottom two plots are very similar.  We choose to use coastline length (in miles) and population as our predictors since those relationships seem to be a bit more linear on the log-log scale.\n",
    "\n",
    "We standardize the logarithms of coastline length and population before using them as predictors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "cdd355ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "def standardize(x):\n",
    "    return (x - x.mean()) / x.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "eb6a076a",
   "metadata": {},
   "outputs": [],
   "source": [
    "log_coast = np.log(attacks_df[\"Coastline\"].values)\n",
    "x_coast = at.constant(standardize(log_coast))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "83326f0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "log_pop = np.log(attacks_df[\"Population\"].values)\n",
    "x_pop = at.constant(standardize(log_pop))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c3b6f02",
   "metadata": {},
   "source": [
    "We use the priors $\\beta_0, \\beta_{\\text{coast}}, \\beta_{\\text{pop}} \\sim N(0, 2.5^2)$ on the regression coefficients and set\n",
    "\n",
    "$$\\eta_{i, t} = \\beta_0 + \\beta_{\\text{coast}} \\cdot x_{\\text{coast}, i} + \\beta_{\\text{pop}} \\cdot x_{\\text{pop}, i, t}.$$  The mean is then $\\mu_{i, t} = \\exp \\eta_{i, t}.$"
   ]
  },
  {
   "cell_type": "code",