Old_VV_unresolved/Interactive_Sim_Tests_06.18.2023_testing_propensity.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c567a710",
   "metadata": {},
   "source": [
    "# Testing Propensity and Exposure Values\n",
    "\n",
    "The purpose of this notebook was to check why exposure means were seen to be decreasing over the course of the sim. It was suspected the propensities might be drifting over time. Basically that we were killing all of the high risk simulants and so the high propensity values were leaving the sim. This was designed to test that theory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "95d314e5-d8c7-4894-b219-055827c52364",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "\n",
    "from vivarium import InteractiveContext, Artifact\n",
    "\n",
    "from datetime import datetime, timedelta\n",
    "from pathlib import Path\n",
    "import itertools\n",
    "import matplotlib.pyplot as plt\n",
    "import ipywidgets\n",
    "import pandas as pd, numpy as np\n",
    "pd.set_option('display.max_rows', 60)\n",
    "\n",
    "import numpy as np\n",
    "import researchpy as rp\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from matplotlib.backends.backend_pdf import PdfPages\n",
    "import seaborn as sns\n",
    "\n",
    "from db_queries import get_outputs as go\n",
    "from db_queries import get_ids\n",
    "from get_draws.api import get_draws"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dee929a6-3f69-41d6-a2f1-a524d6ecd6b3",
   "metadata": {},
   "source": [
    "## Load in Data and First Time Step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "65c132fd-0001-477d-bfad-ce5871954e63",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-08-15 10:16:50.865\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36msimulation_1\u001b[0m-\u001b[36martifact_manager\u001b[0m:\u001b[36m66\u001b[0m - \u001b[1mRunning simulation from artifact located at /mnt/team/simulation_science/costeffectiveness/artifacts/vivarium_nih_us_cvd/alabama.hdf.\u001b[0m\n",
      "\u001b[32m2023-08-15 10:16:50.867\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36msimulation_1\u001b[0m-\u001b[36martifact_manager\u001b[0m:\u001b[36m67\u001b[0m - \u001b[1mArtifact base filter terms are ['draw == 0'].\u001b[0m\n",
      "\u001b[32m2023-08-15 10:16:50.868\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36msimulation_1\u001b[0m-\u001b[36martifact_manager\u001b[0m:\u001b[36m68\u001b[0m - \u001b[1mArtifact additional filter terms are None.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "path = Path('/ihme/homes/lutzes/vivarium_nih_us_cvd/src/vivarium_nih_us_cvd/model_specifications/nih_us_cvd.yaml')\n",
    "sim = InteractiveContext(path, setup=False)\n",
    "\n",
    "sim.configuration.update({\n",
    "                          'population':\n",
    "                              {'population_size': 50_000,\n",
    "                              },\n",
    "                          'time':\n",
    "                              {'start':\n",
    "                                  {'year': 2021\n",
    "                                  }\n",
    "                              }\n",
    "                          }\n",
    "                        )\n",
    "sim.setup()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d53428f1-3522-4ec1-a50e-e0ed0075c7f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tracked</th>\n",
       "      <th>sex</th>\n",
       "      <th>alive</th>\n",
       "      <th>entrance_time</th>\n",
       "      <th>location</th>\n",
       "      <th>exit_time</th>\n",
       "      <th>age</th>\n",
       "      <th>years_of_life_lost</th>\n",
       "      <th>cause_of_death</th>\n",
       "      <th>years_lived_with_disability</th>\n",
       "      <th>...</th>\n",
       "      <th>ldlc_multiplier</th>\n",
       "      <th>sbp_medication</th>\n",
       "      <th>ldlc_medication_adherence</th>\n",
       "      <th>lifestyle_adherence</th>\n",
       "      <th>ldlc_medication</th>\n",
       "      <th>lifestyle</th>\n",
       "      <th>sbp_therapeutic_inertia_propensity</th>\n",
       "      <th>visit_type</th>\n",
       "      <th>last_fpg_test_date</th>\n",
       "      <th>scheduled_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>47.388882</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>one_drug_half_dose_efficacy</td>\n",
       "      <td>cat3</td>\n",
       "      <td>True</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.022599</td>\n",
       "      <td>none</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>41.564194</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>cat3</td>\n",
       "      <td>False</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.742067</td>\n",
       "      <td>none</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>53.155826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>cat3</td>\n",
       "      <td>False</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.591302</td>\n",
       "      <td>none</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>30.457692</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>cat1</td>\n",
       "      <td>True</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.273953</td>\n",
       "      <td>none</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>19.554806</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>cat3</td>\n",
       "      <td>False</td>\n",
       "      <td>no_treatment</td>\n",
       "      <td>NaT</td>\n",
       "      <td>0.455919</td>\n",
       "      <td>none</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   tracked     sex  alive entrance_time location exit_time        age  \\\n",
       "0     True  Female  alive    2020-12-04  Alabama       NaT  47.388882   \n",
       "1     True    Male  alive    2020-12-04  Alabama       NaT  41.564194   \n",
       "2     True  Female  alive    2020-12-04  Alabama       NaT  53.155826   \n",
       "3     True    Male  alive    2020-12-04  Alabama       NaT  30.457692   \n",
       "4     True  Female  alive    2020-12-04  Alabama       NaT  19.554806   \n",
       "\n",
       "   years_of_life_lost cause_of_death  years_lived_with_disability  ...  \\\n",
       "0                 0.0       not_dead                          0.0  ...   \n",
       "1                 0.0       not_dead                          0.0  ...   \n",
       "2                 0.0       not_dead                          0.0  ...   \n",
       "3                 0.0       not_dead                          0.0  ...   \n",
       "4                 0.0       not_dead                          0.0  ...   \n",
       "\n",
       "  ldlc_multiplier               sbp_medication  ldlc_medication_adherence  \\\n",
       "0             1.0  one_drug_half_dose_efficacy                       cat3   \n",
       "1             1.0                 no_treatment                       cat3   \n",
       "2             1.0                 no_treatment                       cat3   \n",
       "3             1.0                 no_treatment                       cat1   \n",
       "4             1.0                 no_treatment                       cat3   \n",
       "\n",
       "   lifestyle_adherence  ldlc_medication  lifestyle  \\\n",
       "0                 True     no_treatment        NaT   \n",
       "1                False     no_treatment        NaT   \n",
       "2                False     no_treatment        NaT   \n",
       "3                 True     no_treatment        NaT   \n",
       "4                False     no_treatment        NaT   \n",
       "\n",
       "  sbp_therapeutic_inertia_propensity visit_type  last_fpg_test_date  \\\n",
       "0                           0.022599       none                 NaT   \n",
       "1                           0.742067       none                 NaT   \n",
       "2                           0.591302       none                 NaT   \n",
       "3                           0.273953       none                 NaT   \n",
       "4                           0.455919       none                 NaT   \n",
       "\n",
       "   scheduled_date  \n",
       "0             NaT  \n",
       "1             NaT  \n",
       "2             NaT  \n",
       "3             NaT  \n",
       "4             NaT  \n",
       "\n",
       "[5 rows x 64 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop0 = sim.get_population()\n",
    "pop0.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d404392b-dcd3-437c-95a0-0e3829a07708",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pop0.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cf68d61b-1634-4402-bb82-76d4705ad39f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#sim.list_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "38729771-5576-4164-9b7f-baa2a7cbe229",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>tracked</th>\n",
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       "      <th>...</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
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       "      <td>0.000027</td>\n",
       "      <td>0.000072</td>\n",
       "      <td>0.000036</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>41.564194</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>9.447039</td>\n",
       "      <td>0.187950</td>\n",
       "      <td>0.788239</td>\n",
       "      <td>0.159066</td>\n",
       "      <td>0.950051</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>53.155826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.609653</td>\n",
       "      <td>0.168561</td>\n",
       "      <td>0.861751</td>\n",
       "      <td>0.120914</td>\n",
       "      <td>0.920093</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>0.000055</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>30.457692</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.511144</td>\n",
       "      <td>0.192373</td>\n",
       "      <td>0.769485</td>\n",
       "      <td>0.165581</td>\n",
       "      <td>0.954638</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000062</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>19.554806</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.179608</td>\n",
       "      <td>0.820149</td>\n",
       "      <td>0.147086</td>\n",
       "      <td>0.939978</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 77 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   tracked     sex  alive entrance_time location exit_time        age  \\\n",
       "0     True  Female  alive    2020-12-04  Alabama       NaT  47.388882   \n",
       "1     True    Male  alive    2020-12-04  Alabama       NaT  41.564194   \n",
       "2     True  Female  alive    2020-12-04  Alabama       NaT  53.155826   \n",
       "3     True    Male  alive    2020-12-04  Alabama       NaT  30.457692   \n",
       "4     True  Female  alive    2020-12-04  Alabama       NaT  19.554806   \n",
       "\n",
       "   years_of_life_lost cause_of_death  years_lived_with_disability  ...  \\\n",
       "0                 0.0       not_dead                          0.0  ...   \n",
       "1                 0.0       not_dead                          0.0  ...   \n",
       "2                 0.0       not_dead                          0.0  ...   \n",
       "3                 0.0       not_dead                          0.0  ...   \n",
       "4                 0.0       not_dead                          0.0  ...   \n",
       "\n",
       "   high_fpg high_ldl_prop  high_sbp_prop  high_bmi_prop  high_fpg_prop  \\\n",
       "0  7.655254      0.173110       0.843299       0.135403       0.930157   \n",
       "1  9.447039      0.187950       0.788239       0.159066       0.950051   \n",
       "2  8.609653      0.168561       0.861751       0.120914       0.920093   \n",
       "3  8.511144      0.192373       0.769485       0.165581       0.954638   \n",
       "4  1.000000      0.179608       0.820149       0.147086       0.939978   \n",
       "\n",
       "     hf_ihd  hf_resid  acute_mi    stroke  post_stroke  \n",
       "0  0.000027  0.000072  0.000036  0.000011     0.000036  \n",
       "1  0.000018  0.000051  0.000117  0.000009     0.000117  \n",
       "2  0.000058  0.000106  0.000055  0.000035     0.000055  \n",
       "3  0.000014  0.000062  0.000040  0.000004     0.000040  \n",
       "4  0.000001  0.000024  0.000008  0.000006     0.000008  \n",
       "\n",
       "[5 rows x 77 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1 = pd.concat([pop0,\n",
    "                   sim.get_value('high_ldl_cholesterol.exposure')(pop0.index).rename('high_ldl'),\n",
    "                   sim.get_value('high_systolic_blood_pressure.exposure')(pop0.index).rename('high_sbp'),\n",
    "                   sim.get_value('high_body_mass_index_in_adults.exposure')(pop0.index).rename('high_bmi'),\n",
    "                   sim.get_value('high_fasting_plasma_glucose.exposure')(pop0.index).rename('high_fpg'),\n",
    "                   sim.get_value('high_ldl_cholesterol.propensity')(pop0.index).rename('high_ldl_prop'),\n",
    "                   sim.get_value('high_systolic_blood_pressure.propensity')(pop0.index).rename('high_sbp_prop'),\n",
    "                   sim.get_value('high_body_mass_index_in_adults.propensity')(pop0.index).rename('high_bmi_prop'),\n",
    "                   sim.get_value('high_fasting_plasma_glucose.propensity')(pop0.index).rename('high_fpg_prop'),\n",
    "                   sim.get_value('heart_failure_from_ischemic_heart_disease.incidence_rate')(pop0.index).rename('hf_ihd'),\n",
    "                   sim.get_value('heart_failure_residual.incidence_rate')(pop0.index).rename('hf_resid'),\n",
    "                   sim.get_value('acute_myocardial_infarction.incidence_rate')(pop0.index).rename('acute_mi'),\n",
    "                   sim.get_value('acute_ischemic_stroke.incidence_rate')(pop0.index).rename('stroke'),\n",
    "                   sim.get_value('post_myocardial_infarction_to_acute_myocardial_infarction.transition_rate')(pop0.index).rename('post_stroke'),\n",
    "                  ], axis=1)\n",
    "data1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79b41771-2dbf-47c1-89f1-58a66af78e6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = data1.loc[(data1.age > 25) & (data1.alive == 'alive')]\n",
    "data1['age_start'] = ((data1.age/5).astype(int) * 5).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "59108e5a",
   "metadata": {},
   "outputs": [
    {
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       "      <th>tracked</th>\n",
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       "      <th>years_of_life_lost</th>\n",
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       "      <th>...</th>\n",
       "      <th>high_ldl_prop</th>\n",
       "      <th>high_sbp_prop</th>\n",
       "      <th>high_bmi_prop</th>\n",
       "      <th>high_fpg_prop</th>\n",
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       "      <td>0.168561</td>\n",
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       "<p>5 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   tracked     sex  alive entrance_time location exit_time        age  \\\n",
       "0     True  Female  alive    2020-12-04  Alabama       NaT  47.388882   \n",
       "1     True    Male  alive    2020-12-04  Alabama       NaT  41.564194   \n",
       "2     True  Female  alive    2020-12-04  Alabama       NaT  53.155826   \n",
       "3     True    Male  alive    2020-12-04  Alabama       NaT  30.457692   \n",
       "6     True    Male  alive    2020-12-04  Alabama       NaT  28.652525   \n",
       "\n",
       "   years_of_life_lost cause_of_death  years_lived_with_disability  ...  \\\n",
       "0                 0.0       not_dead                          0.0  ...   \n",
       "1                 0.0       not_dead                          0.0  ...   \n",
       "2                 0.0       not_dead                          0.0  ...   \n",
       "3                 0.0       not_dead                          0.0  ...   \n",
       "6                 0.0       not_dead                          0.0  ...   \n",
       "\n",
       "  high_ldl_prop high_sbp_prop  high_bmi_prop  high_fpg_prop    hf_ihd  \\\n",
       "0      0.173110      0.843299       0.135403       0.930157  0.000027   \n",
       "1      0.187950      0.788239       0.159066       0.950051  0.000018   \n",
       "2      0.168561      0.861751       0.120914       0.920093  0.000058   \n",
       "3      0.192373      0.769485       0.165581       0.954638  0.000014   \n",
       "6      0.706285      0.911835       0.884554       0.633719  0.000013   \n",
       "\n",
       "   hf_resid  acute_mi    stroke  post_stroke  age_start  \n",
       "0  0.000072  0.000036  0.000011     0.000036       45.0  \n",
       "1  0.000051  0.000117  0.000009     0.000117       40.0  \n",
       "2  0.000106  0.000055  0.000035     0.000055       50.0  \n",
       "3  0.000062  0.000040  0.000004     0.000040       30.0  \n",
       "6  0.000086  0.000076  0.000004     0.000076       25.0  \n",
       "\n",
       "[5 rows x 78 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dee24f8a",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.651223</td>\n",
       "      <td>0.092192</td>\n",
       "      <td>0.482711</td>\n",
       "      <td>0.000511</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49948</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>85.419356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.953696</td>\n",
       "      <td>0.317376</td>\n",
       "      <td>0.630211</td>\n",
       "      <td>0.165595</td>\n",
       "      <td>0.005108</td>\n",
       "      <td>0.004219</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>0.000296</td>\n",
       "      <td>0.000442</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49973</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>67.597729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.444335</td>\n",
       "      <td>0.515561</td>\n",
       "      <td>0.110723</td>\n",
       "      <td>0.691779</td>\n",
       "      <td>0.000461</td>\n",
       "      <td>0.000548</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49997</th>\n",
       "      <td>True</td>\n",
       "      <td>Female</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>69.032576</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860677</td>\n",
       "      <td>0.715126</td>\n",
       "      <td>0.652029</td>\n",
       "      <td>0.646749</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>0.000790</td>\n",
       "      <td>0.000438</td>\n",
       "      <td>0.000178</td>\n",
       "      <td>0.000438</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3196 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tracked     sex  alive entrance_time location exit_time        age  \\\n",
       "9         True    Male  alive    2020-12-04  Alabama       NaT  68.924497   \n",
       "17        True    Male  alive    2020-12-04  Alabama       NaT  85.850152   \n",
       "19        True  Female  alive    2020-12-04  Alabama       NaT  69.243338   \n",
       "44        True    Male  alive    2020-12-04  Alabama       NaT  88.305092   \n",
       "72        True    Male  alive    2020-12-04  Alabama       NaT  68.573683   \n",
       "...        ...     ...    ...           ...      ...       ...        ...   \n",
       "49920     True  Female  alive    2020-12-04  Alabama       NaT  68.827284   \n",
       "49941     True  Female  alive    2020-12-04  Alabama       NaT  68.287674   \n",
       "49948     True    Male  alive    2020-12-04  Alabama       NaT  85.419356   \n",
       "49973     True  Female  alive    2020-12-04  Alabama       NaT  67.597729   \n",
       "49997     True  Female  alive    2020-12-04  Alabama       NaT  69.032576   \n",
       "\n",
       "       years_of_life_lost cause_of_death  years_lived_with_disability  ...  \\\n",
       "9                     0.0       not_dead                          0.0  ...   \n",
       "17                    0.0       not_dead                          0.0  ...   \n",
       "19                    0.0       not_dead                          0.0  ...   \n",
       "44                    0.0       not_dead                          0.0  ...   \n",
       "72                    0.0       not_dead                          0.0  ...   \n",
       "...                   ...            ...                          ...  ...   \n",
       "49920                 0.0       not_dead                          0.0  ...   \n",
       "49941                 0.0       not_dead                          0.0  ...   \n",
       "49948                 0.0       not_dead                          0.0  ...   \n",
       "49973                 0.0       not_dead                          0.0  ...   \n",
       "49997                 0.0       not_dead                          0.0  ...   \n",
       "\n",
       "      high_ldl_prop high_sbp_prop  high_bmi_prop  high_fpg_prop    hf_ihd  \\\n",
       "9          0.178486      0.886667       0.091491       0.901807  0.000771   \n",
       "17         0.376975      0.925326       0.053183       0.849460  0.005931   \n",
       "19         0.371144      0.016150       0.844051       0.528043  0.000477   \n",
       "44         0.712410      0.859283       0.892909       0.713266  0.007833   \n",
       "72         0.725710      0.879777       0.880395       0.695558  0.001089   \n",
       "...             ...           ...            ...            ...       ...   \n",
       "49920      0.029092      0.764213       0.639812       0.777344  0.000677   \n",
       "49941      0.509505      0.651223       0.092192       0.482711  0.000511   \n",
       "49948      0.953696      0.317376       0.630211       0.165595  0.005108   \n",
       "49973      0.444335      0.515561       0.110723       0.691779  0.000461   \n",
       "49997      0.860677      0.715126       0.652029       0.646749  0.000665   \n",
       "\n",
       "       hf_resid  acute_mi    stroke  post_stroke  age_start  \n",
       "9      0.000659  0.000862  0.000222     0.000862       65.0  \n",
       "17     0.004898  0.000681  0.000406     0.000681       85.0  \n",
       "19     0.000567  0.000140  0.000069     0.000140       65.0  \n",
       "44     0.006469  0.001076  0.000519     0.001076       85.0  \n",
       "72     0.000932  0.002418  0.000414     0.002418       65.0  \n",
       "...         ...       ...       ...          ...        ...  \n",
       "49920  0.000805  0.000278  0.000171     0.000278       65.0  \n",
       "49941  0.000607  0.000138  0.000071     0.000138       65.0  \n",
       "49948  0.004219  0.000442  0.000296     0.000442       85.0  \n",
       "49973  0.000548  0.000127  0.000070     0.000127       65.0  \n",
       "49997  0.000790  0.000438  0.000178     0.000438       65.0  \n",
       "\n",
       "[3196 rows x 78 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Limiting to a smaller group, selected randomly \n",
    "\n",
    "data1_small = data1.loc[(data1.sex=='Male') & (data1.age_start == 85) | (data1.age_start == 65)]\n",
    "data1_small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "84ed3974",
   "metadata": {},
   "outputs": [],
   "source": [
    "risks = list(['high_sbp_prop','high_bmi_prop','high_fpg_prop','high_ldl_prop'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b7eaa63b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x1200 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(len(risks), data1_small.age_start.nunique(), dpi=120, figsize=(10,10))\n",
    "plt.subplots_adjust(wspace=.3, hspace=.7)\n",
    "for i, risk in enumerate(risks):\n",
    "    for j, age in enumerate(data1_small.age_start.unique()):\n",
    "        d = data1_small.query('age_start == @age')\n",
    "        \n",
    "        ax[i][j].plot(np.sort(np.random.uniform(size=len(d))),\n",
    "         d[risk].sort_values(), 'k.')\n",
    "        ax[i][j].plot([0,1], [0,1], '--', color='grey', alpha=.7)\n",
    "        ax[i][j].grid()\n",
    "        ax[i][j].set_xlabel('Uniform Dist')\n",
    "        ax[i][j].set_ylabel('Propensities in Sim');\n",
    "        ax[i][j].set_title(f'Propensities for {risk} and {age} in 2021')\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "794a1d74",
   "metadata": {},
   "outputs": [],
   "source": [
    "## These propensities look good! This is expected, at the first time step we think they will be correct. \n",
    "\n",
    "## Now we run the sim forward 3 years to see how this drifts over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6ec203c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, CPU times: user 3h 15min 31s, sys: 43 s, total: 3h 16min 14s\n",
      "Wall time: 3h 16min 11s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "sim_data = pd.DataFrame()\n",
    "for step in list(range(0,12*3)):\n",
    "    print(step, end=', ', flush=True)\n",
    "    sim.step()\n",
    "    pop_t = sim.get_population()\n",
    "    data_t = pd.concat([pop_t, \n",
    "                   sim.get_value('high_ldl_cholesterol.exposure')(pop0.index).rename('high_ldl'),\n",
    "                   sim.get_value('high_systolic_blood_pressure.exposure')(pop0.index).rename('high_sbp'),\n",
    "                   sim.get_value('high_body_mass_index_in_adults.exposure')(pop0.index).rename('high_bmi'),\n",
    "                   sim.get_value('high_fasting_plasma_glucose.exposure')(pop0.index).rename('high_fpg'),\n",
    "                   sim.get_value('high_ldl_cholesterol.propensity')(pop0.index).rename('high_ldl_prop'),\n",
    "                   sim.get_value('high_systolic_blood_pressure.propensity')(pop0.index).rename('high_sbp_prop'),\n",
    "                   sim.get_value('high_body_mass_index_in_adults.propensity')(pop0.index).rename('high_bmi_prop'),\n",
    "                   sim.get_value('high_fasting_plasma_glucose.propensity')(pop0.index).rename('high_fpg_prop')],\n",
    "                       axis=1)\n",
    "    data_t['step'] = step\n",
    "    sim_data = pd.concat([sim_data, data_t])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4133ec5f",
   "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>tracked</th>\n",
       "      <th>sex</th>\n",
       "      <th>alive</th>\n",
       "      <th>entrance_time</th>\n",
       "      <th>location</th>\n",
       "      <th>exit_time</th>\n",
       "      <th>age</th>\n",
       "      <th>years_of_life_lost</th>\n",
       "      <th>cause_of_death</th>\n",
       "      <th>years_lived_with_disability</th>\n",
       "      <th>...</th>\n",
       "      <th>high_ldl</th>\n",
       "      <th>high_sbp</th>\n",
       "      <th>high_bmi</th>\n",
       "      <th>high_fpg</th>\n",
       "      <th>high_ldl_prop</th>\n",
       "      <th>high_sbp_prop</th>\n",
       "      <th>high_bmi_prop</th>\n",
       "      <th>high_fpg_prop</th>\n",
       "      <th>step</th>\n",
       "      <th>age_start</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>88.609906</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.775686</td>\n",
       "      <td>165.682147</td>\n",
       "      <td>18.672833</td>\n",
       "      <td>7.070729</td>\n",
       "      <td>0.376975</td>\n",
       "      <td>0.925326</td>\n",
       "      <td>0.053183</td>\n",
       "      <td>0.849460</td>\n",
       "      <td>35</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>65.571499</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.488889</td>\n",
       "      <td>154.737172</td>\n",
       "      <td>31.048298</td>\n",
       "      <td>6.486256</td>\n",
       "      <td>0.914731</td>\n",
       "      <td>0.902511</td>\n",
       "      <td>0.624729</td>\n",
       "      <td>0.589374</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>69.068138</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.827366</td>\n",
       "      <td>133.673138</td>\n",
       "      <td>27.117842</td>\n",
       "      <td>7.258124</td>\n",
       "      <td>0.489231</td>\n",
       "      <td>0.835388</td>\n",
       "      <td>0.357192</td>\n",
       "      <td>0.762067</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>66.375045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.132772</td>\n",
       "      <td>134.075226</td>\n",
       "      <td>34.284987</td>\n",
       "      <td>8.164361</td>\n",
       "      <td>0.161270</td>\n",
       "      <td>0.853139</td>\n",
       "      <td>0.800253</td>\n",
       "      <td>0.821717</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>65.159680</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.275797</td>\n",
       "      <td>114.273751</td>\n",
       "      <td>26.632285</td>\n",
       "      <td>6.432274</td>\n",
       "      <td>0.629529</td>\n",
       "      <td>0.069672</td>\n",
       "      <td>0.320516</td>\n",
       "      <td>0.634795</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49892</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>66.928011</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.961094</td>\n",
       "      <td>108.031225</td>\n",
       "      <td>22.524737</td>\n",
       "      <td>8.087339</td>\n",
       "      <td>0.401598</td>\n",
       "      <td>0.049409</td>\n",
       "      <td>0.064240</td>\n",
       "      <td>0.842461</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49894</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>69.953455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.570641</td>\n",
       "      <td>101.010006</td>\n",
       "      <td>41.209701</td>\n",
       "      <td>5.414258</td>\n",
       "      <td>0.331305</td>\n",
       "      <td>0.006753</td>\n",
       "      <td>0.960054</td>\n",
       "      <td>0.388126</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49910</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>68.740062</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.730199</td>\n",
       "      <td>122.627515</td>\n",
       "      <td>28.699692</td>\n",
       "      <td>3.996373</td>\n",
       "      <td>0.417379</td>\n",
       "      <td>0.222213</td>\n",
       "      <td>0.479800</td>\n",
       "      <td>0.031805</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49948</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>88.179109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.342147</td>\n",
       "      <td>127.007478</td>\n",
       "      <td>28.491167</td>\n",
       "      <td>4.684822</td>\n",
       "      <td>0.953696</td>\n",
       "      <td>0.317376</td>\n",
       "      <td>0.630211</td>\n",
       "      <td>0.165595</td>\n",
       "      <td>35</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49981</th>\n",
       "      <td>True</td>\n",
       "      <td>Male</td>\n",
       "      <td>alive</td>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>NaT</td>\n",
       "      <td>65.958943</td>\n",
       "      <td>0.0</td>\n",
       "      <td>not_dead</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.837080</td>\n",
       "      <td>133.893671</td>\n",
       "      <td>33.669994</td>\n",
       "      <td>5.135103</td>\n",
       "      <td>0.952440</td>\n",
       "      <td>0.895996</td>\n",
       "      <td>0.775616</td>\n",
       "      <td>0.249695</td>\n",
       "      <td>35</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1715 rows × 74 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tracked   sex  alive entrance_time location exit_time        age  \\\n",
       "17        True  Male  alive    2020-12-04  Alabama       NaT  88.609906   \n",
       "55        True  Male  alive    2020-12-04  Alabama       NaT  65.571499   \n",
       "79        True  Male  alive    2020-12-04  Alabama       NaT  69.068138   \n",
       "159       True  Male  alive    2020-12-04  Alabama       NaT  66.375045   \n",
       "197       True  Male  alive    2020-12-04  Alabama       NaT  65.159680   \n",
       "...        ...   ...    ...           ...      ...       ...        ...   \n",
       "49892     True  Male  alive    2020-12-04  Alabama       NaT  66.928011   \n",
       "49894     True  Male  alive    2020-12-04  Alabama       NaT  69.953455   \n",
       "49910     True  Male  alive    2020-12-04  Alabama       NaT  68.740062   \n",
       "49948     True  Male  alive    2020-12-04  Alabama       NaT  88.179109   \n",
       "49981     True  Male  alive    2020-12-04  Alabama       NaT  65.958943   \n",
       "\n",
       "       years_of_life_lost cause_of_death  years_lived_with_disability  ...  \\\n",
       "17                    0.0       not_dead                          0.0  ...   \n",
       "55                    0.0       not_dead                          0.0  ...   \n",
       "79                    0.0       not_dead                          0.0  ...   \n",
       "159                   0.0       not_dead                          0.0  ...   \n",
       "197                   0.0       not_dead                          0.0  ...   \n",
       "...                   ...            ...                          ...  ...   \n",
       "49892                 0.0       not_dead                          0.0  ...   \n",
       "49894                 0.0       not_dead                          0.0  ...   \n",
       "49910                 0.0       not_dead                          0.0  ...   \n",
       "49948                 0.0       not_dead                          0.0  ...   \n",
       "49981                 0.0       not_dead                          0.0  ...   \n",
       "\n",
       "       high_ldl    high_sbp   high_bmi  high_fpg  high_ldl_prop  \\\n",
       "17     1.775686  165.682147  18.672833  7.070729       0.376975   \n",
       "55     4.488889  154.737172  31.048298  6.486256       0.914731   \n",
       "79     2.827366  133.673138  27.117842  7.258124       0.489231   \n",
       "159    2.132772  134.075226  34.284987  8.164361       0.161270   \n",
       "197    3.275797  114.273751  26.632285  6.432274       0.629529   \n",
       "...         ...         ...        ...       ...            ...   \n",
       "49892  2.961094  108.031225  22.524737  8.087339       0.401598   \n",
       "49894  2.570641  101.010006  41.209701  5.414258       0.331305   \n",
       "49910  2.730199  122.627515  28.699692  3.996373       0.417379   \n",
       "49948  4.342147  127.007478  28.491167  4.684822       0.953696   \n",
       "49981  4.837080  133.893671  33.669994  5.135103       0.952440   \n",
       "\n",
       "       high_sbp_prop high_bmi_prop high_fpg_prop  step  age_start  \n",
       "17          0.925326      0.053183      0.849460    35       85.0  \n",
       "55          0.902511      0.624729      0.589374    35       65.0  \n",
       "79          0.835388      0.357192      0.762067    35       65.0  \n",
       "159         0.853139      0.800253      0.821717    35       65.0  \n",
       "197         0.069672      0.320516      0.634795    35       65.0  \n",
       "...              ...           ...           ...   ...        ...  \n",
       "49892       0.049409      0.064240      0.842461    35       65.0  \n",
       "49894       0.006753      0.960054      0.388126    35       65.0  \n",
       "49910       0.222213      0.479800      0.031805    35       65.0  \n",
       "49948       0.317376      0.630211      0.165595    35       85.0  \n",
       "49981       0.895996      0.775616      0.249695    35       65.0  \n",
       "\n",
       "[1715 rows x 74 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data = sim_data\n",
    "test_data = test_data.loc[(test_data.age > 25) & (test_data.alive == 'alive')]\n",
    "test_data['age_start'] = ((test_data.age/5).astype(int) * 5).astype(float)\n",
    "test_data_small = test_data.loc[(test_data.step==35) & (test_data.sex=='Male')]\n",
    "test_data_small = test_data_small.loc[(test_data_small.age_start == 85) | (test_data_small.age_start == 65)]\n",
    "test_data_small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7e29ce5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(len(risks), data1_small.age_start.nunique(), dpi=120, figsize=(10,10))\n",
    "plt.subplots_adjust(wspace=.3, hspace=.7)\n",
    "for i, risk in enumerate(risks):\n",
    "    for j, age in enumerate(data1_small.age_start.unique()):\n",
    "        d = test_data_small.query('age_start == @age')\n",
    "        \n",
    "        ax[i][j].plot(np.sort(np.random.uniform(size=len(d))),\n",
    "         d[risk].sort_values(), 'k.')\n",
    "        ax[i][j].plot([0,1], [0,1], '--', color='grey', alpha=.7)\n",
    "        ax[i][j].grid()\n",
    "        ax[i][j].set_xlabel('Uniform Dist')\n",
    "        ax[i][j].set_ylabel('Propensities in Sim');\n",
    "        ax[i][j].set_title(f'Propensities for {risk} and {age} after 3 years')\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b7b37b",
   "metadata": {},
   "source": [
    "We don't see a lot of drift in the above plots! These look pretty good overall. We are now looking at the SBP exposure values to see if that provides any additional information \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "aa31b60b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ub29vnW2aNGkiAND5BeLzvL29BRMTEyE1NVVnvFWqVBHatGmjUa76gjI9PV2rTYcOHQQAGl9CGjNpK028hUlJSRH69esniEQi9d+hWCwWmjVrJsydO1cj+VFRnf91/Tg6OgqLFy/W+aFfVUf12WTOnDlC//79BYlEIgAQpk+fXmy8qr+FgIAAnctVXyo//wXJ7du3BWtra6Fq1apCYGCgAEDo0KGDRsKtokraTp8+rbVM9e/07NwA77//vgBAWLdunVb9W7duCWKxWPDw8FCXqZK2I0eOFLu/hiRtupJCVf/MmDFD5/ZUX6ocOHCg2NiMgcMjqVIaOHAg+vbti9DQUJw9exbh4eE4e/Ys9uzZgz179mD48OHqMe3P8vf313huTnJyMs6dO4epU6eiQ4cO2LNnj87L2KdOnVIPoTQzM4O7uzvGjx+POXPm6DU+vX379hCLtW8V7dixI06dOoXw8HD1/XUqPj4+WvXDw8PV69N12b9Tp07YunUrwsPDMXz4cI1lz68fACQSCdq1a4e7d+8iPDwctWrVwqVLl6BQKAqdVlk1TjwiIkJrma6hHKampqhWrRpSU1PVZY0aNYK3tzd++eUX3L9/H71790a7du3QunVr9dAHQ02YMAHLly/HunXr0L9/fwAFM4D+9ttvaNiwITp06GCU7RBR+Rg8eDC2bNmCI0eOoFGjRujduzekUimOHz+O+Ph41KxZEzExMTqPtSV18uRJrWes1a5dW++h1LqOhapzxrPHwpIoj2O3rvNNVlYW/vnnH1SrVg0tWrQoMsbs7GxcvXoVTk5OWLVqlc465ubmOrddr1492NraapU/21+6Znc2hCHx6uLg4IBdu3YhOjoaR44cweXLl3Hp0iVcu3YN165dww8//IDDhw+jTZs2Wm1DQ0PVQz3lcjmio6OxatUqzJ07F4cPH8bJkyd1/k0vWLAAQMFQSHt7e7Rv3x5jxozBsGHDio33/PnzAID09HSdfyuqe+me3/969eph7dq1GDZsGGbOnAknJyds27YNEolE53ZMTEzQtm1brXLV/qo+0wAFww2Bgs8xz/Py8kKNGjUQFRWF9PR02NnZYdCgQVi9ejX69OmDgIAAdOnSBa+//rrRZ/XW9f+Gqv/u37+vs/9U95tGRESUyxBJJm1UaZmamuKtt95S36irUCiwa9cujB49Gps3b0bfvn3VY98LU6VKFfTq1QsWFhZ48803MX36dJ3/Y82fP98oz4PRNc0vALi4uACA+n41XcuepapX2Jh5VXlaWlqpY0hOTgYAXLp0qcibaTMzM7XKnr+vQ8XExAQKhUL9XiKR4MSJE1i4cCFCQkLwySefAABsbGwwYsQIfP311wafpOvUqYOuXbviyJEjuHv3LurWrYtNmzZBJpPhgw8+MGjdRFT+JBIJ9u3bhxUrVmDr1q3YtGkTpFIpOnbsiF27diEgIAAANO6rsbOzQ1JSEtLT09X3RT9LddxTTW518uRJ9YdhFX9/f72TNl3HQtW9Uc8eC0uiPI7dus43qvNI9erVi40xNTUVgiAgMTFRq/+KU9R5A9C/v0rCkHiLUrt2bXzwwQfqc8yDBw8wceJE7Nu3D2PHjsWVK1eKbG9qaop69erh+++/x9WrV3HmzBns2LEDQ4YM0aorFDKRR0mo/laOHTuGY8eOFVpP19/KW2+9BVtbW2RkZGDAgAFF/n04OTnpTOh0ffYpyeebmJgYpKWlwc7ODj4+Pjhz5gwWL16MkJAQbNmyBQBQv359zJ8/X2eflYau/zdU/ffrr78W2VZX/5UFzh5JLwyJRIKBAwdi+vTpAEp+UzkA+Pr6AiiY3ERX4mQszz9UU0V1Y72u2TB13Uisqqdq97z4+PhC11fSGFSv06dPh1AwVFrnT2hoqM71lZSDgwNWrlyJ2NhY3LlzBz/99BMaNGiANWvWYMKECQatW2XChAnqh/ECBROQSKVSrauQRPRiMDU1xSeffILr168jNzcXaWlp2LNnD2rXro07d+7AyckJHh4e6vqqSTp0TWAVHx+PrKws1KhRA5aWlgAKZu99/lj3/JW38lYex25d5xtVMlWSGS9V227RokWR2zYk0TCm8oq3Ro0a2L59O8zMzHD16lWkpKSUuK3q80lJZqrWl2r/V69eXeS+Pz+DpyAIGD58ODIyMuDk5IT169fj9OnThW4nKSlJZ9Kt67NPaT7f+Pn5Yf/+/UhNTcWff/6JefPm4fHjxxg6dKh6MhcA6iuV+fn5WuvV9SX3s4r6LLZ3794i+0/1LL2yxqSNXjg2NjYA9Pv26dlhKkql0ugxqZw9e1bn+lUfBoobeqKiqnf27FmdBx/Vybhly5Zay1TDPJ+lUChw9uxZjXX7+PhALBbjzJkzJYrJGDw9PTFmzBicOnUK1tbW2Lt3b7FtVN/eFfUtbM+ePVGzZk1s3LgRR48exe3btzFw4EA4ODgYLXYiqnjbt29HXl6e1rfrqqFWhw8f1mpz6NAhjTolUZLjjrFV1LHbysoKTZo0wePHjzWGselibW2Nxo0b48aNG3olJvoyVv+XV7xAwTBL1bD/0nw+KYvPJq+99hoA6P23EhgYiMOHD+Pdd9/FiRMnYGpqiqFDh6qvPD0vPz9f5yN/dH32Uf2u60uSyMhIPHjwAB4eHjqvzJqbm6Nt27ZYuHAhvv32WwDQ+ByhOufHxsZqtdX12IrilLb/ygqTNqp0fvnlFxw7dkznAezRo0fqqyn63Ku0YsUKAAXPUCnLD/J37txBUFCQRtnevXtx6tQpeHp66pzyX5caNWrgzTffVI95f9bFixexbds2ODg4oG/fvlptT5w4gf3792uUrVmzBnfv3sUbb7yBWrVqASgYWvTuu+/i8uXL+PLLL3WeHO/evYuoqKgSxaxLVFQU7t27p1WempoKmUwGCwuLYtehGuoUExNTaB2xWIxx48YhISEBo0ePBgCMHz++lFETUUXLyMjQKrty5QpmzpwJBwcHfPrppxrLRo0aBXNzc6xZs0bjGU2pqan46quvAOh3TCjJccfYKvLYPXXqVADABx98oDUaRalUqq9+AMBHH32EvLw8jB49WufVi9TUVPV9S6VlzP43VrxZWVn48ssvC70iumrVKmRmZqJRo0Y6h+jqEh0djd27dwOAxqMNjKV169Zo3749du/ejf/9738661y/fl3juWsXLlzA3Llz4enpiR9++AFNmzbFypUr8fDhQ4wYMaLQhHT27Nkaz1hLSUlRP3ZC9dxDAOpz9KJFizSeT6dQKDBjxgwolUqMGTNGXX7u3Dnk5ORobU/176C6eg78d1+a6nPis/u4evVqnXEXpXfv3qhbty6+//57HDx4UGed8+fPIzs7W+91lwbvaaNK5+LFi1i9ejVcXFzQrl079RCYqKgoHDhwADk5Oejdu7f6voZnRUdHa9yblpKSgnPnzuGvv/6ChYWF1gNZja1bt274+OOPcejQITRv3lz9nDapVIr//e9/et04v3btWrz++uuYOXMmjh49itatW6uf0yYWi7Fx40b1Vcdn9erVC3379kXfvn3h6emJK1eu4NChQ3B0dNRKKNesWYM7d+7g888/x5YtW9CuXTtUq1YNcXFxiIiIwKVLl/DLL79oDEPSx9WrV9GvXz+0adMGDRs2hJubGxITE7F3717I5XL1PW5F6dy5MwIDAzF27Fj0798fNjY2sLe3x+TJkzXqvf/++1i4cCEePnyIpk2bws/Pr1QxE1HFe/PNN2FhYYEmTZrAxsYGEREROHDgACwsLLBv3z64ublp1Pfw8EBgYCCmTp2K1q1bY9CgQTAzM0NISAgePHiAjz/+WK9jgp+fHywtLbFq1SokJyer73eZMmWKzmHpxlCRx+73338fZ86cwZYtW1CvXj307t0bVatWRVxcHE6cOIHRo0erz62jR4/GX3/9haCgINStWxddu3ZFzZo1kZKSgqioKJw+fRqjRo0q8cPMdalfvz6qV6+O7du3w9TUFLVq1YJIJMJ7772nTl5LyljxyuVyfP7551iwYAF8fHzg7e0NBwcHpKSk4M8//8T169dhZWVV6HqCg4PVV5fkcjnu37+PPXv2ICsrC7169Sr2Hv3S2rZtGzp16oQxY8bg22+/ha+vL+zt7fHgwQNcu3YN//zzD86fPw9nZ2ekpaVhyJAhEIvF2L59u/ozxvjx4/HHH38gJCQEK1aswMcff6yxDVdXV8hkMjRp0gTvvPMO5HI5QkJCEB8fj4kTJ2p8yd62bVvMmjULS5cuRZMmTRAQEAArKyscOnQI//zzD9q1a4eZM2eq6y9duhQnTpxA+/bt4eHhAWtra9y4cQOHDh2Cg4MDxo0bp67bu3dv1KtXD7/88gsePHgAX19fxMTEqJ+5uHPnTr36ztTUFLt370bXrl3Ro0cPtG3bFt7e3rC0tERsbCwuXbqEe/fuIT4+XiN5LDPGm4iSyDhiYmKENWvWCH369BG8vLwEGxsbwdTUVHBxcRG6d+8ubNmyRWta/cKm/DczMxM8PDyEMWPGCDdv3tTaVmHPadPXs1PJnjt3TujcubNgY2MjWFtbC2+++aYQFhZW6LZDQ0MLXe+DBw+E8ePHCzVr1hRMTU2FKlWqCL1799a5vmenQN63b5/w2muvCZaWloKdnZ3Qr18/4datWzq3IZPJhO+++07w8/MTbG1tBTMzM8Hd3V3o1KmTsHLlSo3nHhU3DfPz0y3HxsYKs2fPFtq2bStUq1ZNMDMzE6pXry5069ZNOHjwoEbbwqb8FwRBWL58udCgQQPBzMxMAKA1pbNKnz59BADCmjVrdC4nohfD0qVLhZYtWwp2dnbq4/jEiROF2NjYItv9/vvvQocOHQRra2vB0tJSaN26tRAcHFyqGA4dOiS89tpr6me84ZmpxIs6fhd1LNOlMhy7VbZu3Sp06NBBsLW1FczNzYXatWsLQ4cOFf766y+tuvv27RN69OghVK1aVTA1NRWqVasmtGnTRpg7d67GM/QEQVA/WkeXwqZpDwsLEzp16iTY2tqqp9hX9bc+U/6XJl5dFAqFcOjQIeGjjz4SfHx8BFdXV8HExESwtrYWmjZtKnz44Yc6p5rXNeW/SCQS7O3thXbt2gnr1q3TOZW+qq4xZGRkCIsXLxZatmwpWFlZCVKpVKhdu7bw9ttvC+vWrRMyMzMFQRCEfv36CQCEFStWaK0jLS1N8PDwEExNTYWLFy+qy1V9npaWJkycOFFwc3MTzMzMhAYNGgirV68WlEqlzph++eUX4fXXXxesra0Fc3NzoVGjRsKiRYuEnJwcjXpHjhwRRo4cKTRs2FCwtbUVLC0tBS8vL2HKlCk6n1MXExMjDBw4UHBwcBCkUqnQunVrYdeuXcVO+V+Ux48fC5988onQuHFjwcLCQrCyshI8PT2F/v37C1u2bCn0USPGJhKESnK3KNEL7OTJk3jjjTeMNgtlaQQHB2PUqFHYuHGj3jOgvQyUSiU8PT3x+PFjxMfH65xamoiosnnVj930YqtduzYAaAxLprLBe9qI6KUQEhKCqKgoDB8+nAkbERERvVR4TxsRvdCWLFmClJQUrF+/HlZWVpg9e3ZFh0RERERkVEzaiOiFNnv2bJiamqJRo0YIDAxEzZo1KzokIiIiIqOq1Pe0ZWZmIjAwEBcvXkRYWBhSU1P1GvOdlpaGWbNm4bfffkN2djZ8fHywfPlync+2IiIiIiIiqowq9T1tSUlJWLhwISIiItC8eXO92iqVSvTo0QPbtm3D5MmTsXTpUiQkJKBjx464c+dOGUVMRERERERkXJV6eKSrqyvi4+Ph4uKCy5cvo02bNiVuGxISgnPnzuHXX39VP89r4MCB8PLywvz587Ft27ayCpuIiIiIiMhoKvWVNnNzc/UDLfUVEhKCatWqoV+/fuqyqlWrYuDAgdi7d6/GU9uJiIiIiIgqq0qdtBkiPDwcLVu2hFisuYs+Pj7Izs7G7du3KygyIiIiIiKikqvUwyMNER8fjw4dOmiVu7q6AgDi4uLQtGlTnW0TEhKQmJioUZaRkYHbt2+jadOmMDc3N37AREQvMJlMhtjYWPj7+8Pe3r6iw6EKlpaWhlOnTsHd3Z3nTCKi55TmnPnSJm05OTk6TxRSqVS9vDBBQUFYsGBBmcVGRPSy2rNnD3r37l3RYbzU9JlZWalUYt26dVi3bh1u3boFS0tLNG/eHCtXrtSY4EupVGLZsmX44YcfEB8fDy8vL8yePRtDhgwpVYynTp1Cnz59SrmHRESvBn3OmS9t0mZhYaHzvrXc3Fz18sJMnDgRAwYM0Cj7999/MXDgQGzbtg116tTRK5acnBxcv34dTZs2LXK7VHLs07LBfjW+V6VP7927h6FDh8Ld3b2iQ3npqWZWrlmzJpo3b46TJ08WWnf06NH4+eefMXz4cEyePBlZWVkIDw9HQkKCRr25c+diyZIlGDt2LNq0aYO9e/di6NChEIlEGDx4sN4xqv4O9uzZA09PzxK3O/JPPJYdLbh9wcpcAq9qNqjvYgMvZxt4udjA2cYcIpFI73hedZmZmQgLC4OPjw+sra0rOpyXBvvV+F6VPo2MjESfPn30Ome+tEmbaubJ56nK3NzcCm3r7OwMZ2dnncuaNWuGxo0b6xVLRkYG0tPT0bJlS9ja2urVlnRjn5YN9qvxvSp9qjq5cihc2SvpzMo7d+7Epk2bsHv3bvTt27fQ9T18+BDLly/HpEmTsGbNGgDA+++/D39/f8ycORMDBgyARCLRK0bV34Gnp6de58wdkQLMqhZ84SoHcCMHuBEFICoLQBacrM3QtLodmlS3g6udBaramP/3Y20OMxPdt+pnyfKR8ESGhIzcgtcnMqRm5UEsAkwkYphIRDARi2AiFsNUIoKJRAyJWISm1e3Q0PXF//82IyMDjx49QsOGDV/q41B5Y78a36vWp/qcM1/apM3b2xtnzpyBUqnUmIzk4sWLsLS0hJeXVwVGR0REVDolnVl5xYoV8PHxQd++faFUKpGTkwMrKyutenv37oVcLsfEiRPVZSKRCBMmTMDQoUNx/vx5tGvXzqj7UJi5PRqiW30H/HbqL8ht3HAzIRu3Hz+BUihYnpSZh9BbiQi9laizvb2lKapaFyRx+QoBiZkFiVpWnqLUMc3v1QijXvcodXsiImN4KWaPjI+Px82bNyGXy9VlAQEBePz4MXbv3q0uS0pKwq+//opevXrx22AiInppZWRkICwsDG3atMGcOXNgZ2cHa2tr1KlTBzt37tSoGx4eDisrKzRs2FCj3MfHR728vJibSNDEzQbtXAQs7OmFw9M64J8FXREy3g/zejZCH2831HHSTjxV0rLluJOQiXN3kxEWnYKopKxCE7aSjrJcsO9frDt1tzS7Q0RkNJX+StuaNWuQlpaGuLg4AMC+ffvw4MEDAMCUKVNgZ2eH2bNnY9OmTYiKikLt2rUBFCRtr732GkaNGoV///0XTk5OCAoKgkKh4CQjRET0Urt79y4EQcD27dthYmKCpUuXws7ODqtXr8bgwYNha2uLbt26ASj44rNatWpa94o9O9tyUXTNuBwZGQmg4P6UjIwMvWLPysrSeAUAL0cTeDlWwYBmVQAAcoUSyVlyJGXmISkrD0mZeUjOkiMxMw/JmXlIzMqDiViEqtZmqGJlhqrWZnCy1ny1szCBCIBCAPIVSuQrBeQrBCiUAuRKAQ/ScvHRrn+RlpOPrw/dREZWDj5oV1OvfaksdPUpGY79anyvSp9mZmbq3abSJ23Lli3D/fv31e93796tvno2bNgw2NnZ6WwnkUhw8OBBzJw5E99++y1ycnLQpk0bBAcHo379+uUSOxERUUVQfSBITk7GhQsX4OvrCwB455134OHhgUWLFqmTNkNmWwaKnnE5LCwMjx49KtU+hIWFlbhulac/XuYAzJ++eZas4EeWDDxEwU9JfOAFBP0rwRO5CN+fvo/bd6PQw11Z4qt0lY0+fUolx341vpe9T2NiYvRuU+mTtujo6GLrBAcHIzg4WKvcwcEBP/30E3766SfjB0ZERFRJqWYq9fDwUCdsQMGEMb169cLWrVuRn58PExMTg2ZbBnTPuKyaGc3Hx0dr2GVxsrKy1LPH6boHr7y1fS0bY3++joTMPBx7KIZrdXd83NnjhZrFsrL16cuC/Wp8r0qfRkRE6N2m0idtREREpB/VDMnVqlXTWubs7Ay5XI6srCzY2dnB1dUVoaGhEARBIxEpyWzLqvUVNuOytbV1qWeAs7KyqhSzxzW3tcWvE2ww9MeLeJiWg81hDyGITbDgncYQi1+cxA2oPH36smG/Gt/L3qeleZzBSzERCREREf3Hzc0NLi4uePhQeyBgXFwcpFIpbGxsABTMtpydna31ze/FixfVy191tapYYccHr6GmoyUAYMuF+5jz23UoVNNaEhGVMSZtREREL6FBgwYhNjYWx44dU5clJSVh79696NSpk/pxOL1794apqSmCgoLU9QRBwNq1a1G9enW0bdu23GOvjGo4WGLnB36oU7VgyNb2S7GY+etV5CuUFRwZEb0KODySiIjoBVPSmZV37tyJ/v3746OPPoKdnR3Wrl0LuVyOr776Sr2uGjVqYNq0aQgMDIRcLkebNm2wZ88enDlzBj///LPeD9Z+mbnYSbFjnB+G/XQRtx4/we7whzge8RgNXGxR38UG9V1s0MDFBl4uNrCVmlZ0uET0EmHSRkRE9IIpyczK1apVw9mzZzFjxgysXLkScrkcfn5+2Lp1K5o3b66xviVLlsDBwQHr1q1DcHAw6tWrh61bt2Lo0KHlul8vgqo25vhl3GsY9tNF/BufgYzcfIRFpyAsOkWjXnV7CzRwsUHLWg4Y5lsLdpZM4oio9Ji0ERERvWBKMrMyANSpU0edzBVFLBZj9uzZmD17toGRvRocrczw63g/7A5/iBsP03Hz0RPcevQEOfL/HuT9MC0HD9Ny8MfNBPx45h4+7FwP7/rWgpkJ70whIv0xaXsJ5MoVSM3OQ3qOHDl5CuTIFZDJlciRK5ArVyD3md+Vxdw0LRIBFmYmsDKTwMrcBFbmEliZmTz9vaDcwkwCqakEphKeeIiI6NVkZW6C916rpX6vVAqITc1WJ3C3Hj3Bjbh0RCdnIy1bjgX7/sXm8/fxafcGeKuR9sPMiYiKwqStjJ2+nYgzN+OR/lgEk7sp8HQVwc1eCptixrrnK5R4/ESG+Kff1MWn5yLpiQwp2XlIycpDalYekp++ZuUpilxXWZGIRZCaiCE1lcBc9WoqgdRUDKmJBObPvUpNxQXLTcSwtzSDV7WC8f9VbbQf6lreBEFARm4+4tNzEJ+W+7TPC37Pza+Y/n2eSCSCmUQMM4kYpiYimErEMDMRq8tMJGLIFUrkyhVPk3Tl06RdoU7a8xUCxCIRxOKCfz+xSASJWASJSASxWASlIh+JiWLsTf4XYokJBEGAUhCgEKD+XRAAsUgEkajgVSxSvRdBIv5vmaGUSkApCFA+s22lAHUMSkF4JgbNOP77HSWKRQQRnv6n/iBV8DsgEYkK+tlEDHMTVZ9L1O/NTcVws7NAA1cbuNhK+UGM6BUlFotQq4oValWxQtfGLgAKjl1HbjzCkkM3EZ2cjaikLHyw5S/4eDjisx4N0ayGfcUGTUQvDCZtZez07UT8dC4WgAQ7791Ql9tITeBmZwE3eync7C1gZW6C+PRcxKXlIC4tB48zclHZZxJWKAVk5SkMThqrWJmhgasN6lezRYOnN3J7VbOBSARk5MrxJDcfGTlPX5++T0jLxK0HIkSdj4WNleV/H6BVSczTD9d5+UpkyvKRJVMgS5b/9Pd8ZOUVlKXlyBH/NCnOlOUbqWdedGIgJbmig3gh2UpN0MDVFg1dbFDfxRYNXG3gZlnRUeknOy9f/SUAERlGJBKhWxNXdGpQDVsu3Me3f9xBeo4cYVEpeGfNn+jj7YaZ3Rqgun3RDzAnImLSpqeRI0cW+YR2b29vrFq1Sv3+3q0beLxtIZ7Pvx4BuPPMe5ehSzSXb/tUa91iUcHVFRNJwWvnkTNRv3EzOFqZwtHKHDu/+xLRt/8tuMog1rz6UPAeGDFiBEaMGKle56ZNwdi8abP6vYCCqxkKpQClUoBCEFCnfmOMmbkA2Xn5yJQpcPvGNWz/dpHGlQ/178r/rsa8NvVbyORK5OYXXOW58ePH6uXP94UqnXXsPA5m1eqol6UcX4+8hHuF9jcAWDftAuumXdTvM68fR+b140W2MXOuA8cu49Tv8x7fQ8of6zXqiACYmogheebhqa0nrtaocznowyK3AwD1e0+GTfV66ve39nyHJ3GRRbZxa90Nbj7d1e/jwg4h7tJhKFHwza3w3BWnZ/fJRCyChakEiqQoPDy8FuKnV4tUV54EABAKXgVBQNsPv4NCKUChFCDPV+DSmqkwMZFoXH1SdYjo6bum/afCtka9p1fAgH92rUb6g4J9ErT+2ovYp8uHi+wH2+r10KjfVPXf8ZOHd/DPrm+fXj0T/be9p5tU7Vubyas1+qbYfycB8Ow9GTZunur13Nn7HTLj7kJQXelDwd+3qt8A7b+9uEuHcfv6cfz+3OpNxYCVuSmszE3QqGkzLF22AnWqWsHcRIIrV65g2rRpRccH4OTJkxrvO3bsWGybVatWaTxja9q0abhy5cqzu42cPAUyn36hkZmbD0n9jji2dj683e0BAMHBwQgODi5yO97e3hg7dmyx8RC9qsxMxBjTzgP9W1bHdycisfl8NOQKAXuuxOHQP4/Qr2UN9GzmCl8PR35hQkQ6MWnT0+XLl/WqP7xVVWyM/afYemYSMVzspHC1k6K6vQVWfqO7Tc4zv499zQUdOzZSv1//yR1cvXSuyO10euMNjRNCbEwMTp8+VWQba3MT9VAPADiZG4VF18KKbAMAv09up/FeNPdasW2UskyN93kJ9yArpv+kNZtqvM9Pf1xsG1OJGLWrWMJGagoXOynyrBOwOVi7Te5z74995K/xXvTx1SK3AwBLenmiY8f/2nX8fT5O3S263YfD+uCLZ7b1xRehWLCj6DY+Ho44sbi7+t/35MmTeCOo+Pie/XfKyMiA3czi/14/71obHTu+rn7fcddnOHX3SpFtSrNPzWvY49CH7dXvT57MxxvfFL0dADg8rYPG+5L8OwW+46mRCHXc/wVO3Su63bT3+mDarM6ISsrCzUcZ+OnefpzT8bcnA6D6y36YloPuq89AIhahdhVLWKfcwqlTRf8/CADDfroIa3MT2FmYws7StERtbsc8gnPtHEjEBQn7xct/48KfZ4psY+fSEFdiUtVJW3R0dIm2RUTFs7c0w7yejTDcrxa+OXwTB68/gixfiV/CYvBLWAwcLE3RtbEL3m7qCr+6VXjvOBGpMWnTU+vWrYu90vYse3t7tGvXDqmpqXBwcCj0eTcnF3fXeP/3D/466z2/7qK2rUvt2rW13vv7F70tXftUXBtdimsjCMDH73eA2MkDdxOyYCIR4feoNnjobA0TsQgSccFVLxOxCBCUyEhPg62dPYa91wkBQzpDlq9EnkKJHS4x2K2IgSA8vSfp6T1bEnHBFUfR031aNfMN9bavXDHB/ePG3yegfP+dnk3IS/vv1Lhx4yL/VlXrfn7bxanMf3uqdRe1bV0a1KsLFzspXOyk8KtbBaI7vjBNiABQMEFQdp4CmblyZGTnIh8SyOQKmDoXXElWKAXcTcxC3uM8mLs3KXZbZyOTNN6XpM203+7A7Nx/w5dTch0KbScRi2BlbgJ/n6ZoUdNBXV6afyciKlqtKlYIercVLken4PvQSJyNTIJcISA1W47tl2Kx/VIs7CxM8Vajani7mSter+vEWSeJXnEiQRB0j2UiDTdu3ECTJk3wzz//oHHjxnq1zcjIQGhoKN544w3Y2tqWUYSvFvZp2WC/Gt+zfWpmYYV7iVm4/fgJbj1+gtuPnuB2whPEpvx3DV0sAixM/5ul1cK04NVEIkJmbj7Sc+RIz5FDlq8sdUxiEeBVzQbe7vYFPzXtUc/ZRmMosL4MOUbSy4fnTP2kZ8txLOIxDl2Px5k7SchTaP7/bSM1QecGzujWxAUdvKrC0ky/79xfxT4tD+xX43tV+rQ0x0heaSMiKidSUwkaudmikZvmiSg7Lx9yhQALUwlMJaISzUCZK1cg42kCp/rJkSvU95Yqnt6TqnzmFQDqOlujWQ17WJvz8E9UWdhZmiKgVQ0EtKqBjFw5/oh4jIPXH+HU7UTk5SvxJDcfe67EYc+VOJibiNHBqyq6NnZBl4bOsLc0q+jwiagc8KxNRFTB9P3WHChIAKWmEjjbSssgIiKqKLZSU/RtUQN9W9TAk1w5TtxMwOF/HuHkrcSC57DmK3Hs38c49u9jSMQi+Ho4omtjF7zu6QQPJyuDrpgTUeXFpI2IiIioErKRmqK3d3X09q6OXLkCZ+4k4ciNRzge8Rhp2XIolALO3U3GubsFj2mRmopRv5oNGrraqn8auNpU8F4QkTEwaSMiIiKq5KSmErzZqBrebFQN+QolwqJTcPTGYxy58Qjx6QVzHefKlbj6IB1XH6RrtHWzM4eTRIy8aono3dqak5oQvYCYtBERERG9QEwkYrSt64S2dZ0wv1cj/BufgX8epiMi/gn+jc9ARHwGnuTmq+vHpcsQBzFm7rmJJcfuoX+rGhjcxh11qlpX4F4QkT6YtBERERG9oEQiERq72aGxm526TBAEPEzLQUT8E0TEZ+BaTDLORSYhWyFCclYe1p++h/Wn78HHwxFDfWqiWxMXSE0Lf8wLEVU8Jm1ERERELxGRSIQaDpao4WCJNxtVQ0ZGNRz9IxTyao2x53oiLkalAADColIQFpUCu99N0bdFdQx7rRY8nXn1jagyMsqgZplMhvPnz2Pv3r1ISkoqvgERERERlRtTMdCjiTN2fOCHEx/744MOdVDFquBxAek5cgSfi0a3Vaex6vhtyBWlfw4kEZUNg5O2b7/9Fq6urmjXrh369euHa9euAQCSkpLg5OSE//3vfwYHSURERETGUaeqNWa/3RDnZ3fG90Nbon09JwBAvlLAquN30Of7P3HzUUYFR0lEzzIoadu4cSOmTZuGbt26YcOGDRAEQb3MyckJnTp1wvbt2w0OkoiIiIiMy8xEjB7NXLFljC/2T2mHBi4Fjwe4EZeBXt+dxfehkcjnVTeiSsGgpG358uXo3bs3tm3bhl69emktb9WqFW7cuFHq9ctkMnzyySdwc3ODhYUFfH19cezYsRK1PX78ON544w04OTnB3t4ePj4+2LJlS6ljISIiInpZNaluh72TX8fkNzwhEYsgVwgIPHIL/X84h8iEJxUdHtErz6CkLTIyEt27dy90uaOjI5KTk0u9/pEjR2LFihV49913sXr1akgkErz99ts4e/Zske1+//13vPXWW8jLy8MXX3yBxYsXw8LCAsOHD8fKlStLHQ8RERHRy8rcRIIZXetj94S26glJrj5Ix9vfnsW6U3ehUArFrIGIyopBs0fa29sXOfHIv//+CxcXl1KtOywsDNu3b0dgYCBmzJgBABg+fDiaNGmCWbNm4dy5c4W2XbNmDVxdXXHixAmYm5sDAD744AM0aNAAwcHBmD59eqliIiIiInrZNXe3x/4p7bDy2G2sP3MPeflKfH3oJg7feIT29arC0kwCSzMJLEwlsDQzKfj9aVlNR0vYW5pV9C4QvXQMStrefvttrF+/HhMnTtRaduPGDfz4448YPXp0qdYdEhICiUSCcePGqcukUinGjBmDOXPmIDY2Fu7u7jrbZmRkwMHBQZ2wAYCJiQmcnJxKFQsRERHRq0RqKsHstxvircbVMOPXa4hKykJ4TBrCY9KKbGdmIsaotrUx8Q1P2FmYlk+wRK8Ag4ZHLlq0CAqFAk2aNMFnn30GkUiETZs2YdiwYWjdujWcnZ3x+eefl2rd4eHh8PLygq2trUa5j48PAODKlSuFtu3YsSNu3LiBefPmITIyEnfv3sWXX36Jy5cvY9asWaWKh4iIiOhV06qWIw5ObY8x7TxgKy3+u/68fCXWnb4H/8BQbDgbhbx8TmRCZAwGXWlzc3PDX3/9hTlz5mDHjh0QBAFbtmyBjY0NhgwZgiVLlpT66lZ8fDxcXV21ylVlcXFxhbadN28eoqKisHjxYixatAgAYGlpiV27dqF3797FbjshIQGJiYkaZZGRkQCAzMxMZGToNw1uVlaWxisZjn1aNtivxveq9GlmZmZFh0BEZcTCTIJ5PRthXs9GUCoF5OYrkJ2nQE6eAll5+erf07Ll2PhnFC7fT0Vathxf7v8Xm85FY1a3+ujR1BUikaiid4XohWVQ0gYAzs7O+Omnn/DTTz8hMTERSqUSVatWhVhs2CPgcnJyNIY3qkilUvXywpibm8PLywsBAQHo168fFAoF1q9fj2HDhuHYsWN47bXXitx2UFAQFixYoHNZWFgYHj16pMeeaLYl42Kflg32q/G97H0aExNT0SEQUTkQi0VP72PT/RHy7aYuOHLjMb45fBNRSVmIScnG5G3h+Mk9CnN7NESb2o7quoIgIOGJDHcTMhGZmKl+BYD29aqiS0Nn1K1qzWSPCEZI2p5VtWpVo63LwsICMplMqzw3N1e9vDCTJ0/GhQsX8Pfff6uTx4EDB6Jx48b48MMPcfHixSK3PXHiRAwYMECjLDIyEn369IGPjw8aNmyo175kZWUhLCwMPj4+sLKy0qst6cY+LRvsV+N7Vfo0IiKiokMgokpAJBKhWxMXdG7ojF/CYrDq+B2kZOXhSmwaBqw9jy4NnWFnYYbIxEzcS8jEE1m+zvX8GZmMJYduolYVS3RuUA1dGjqjjYcjTCWGXRQoTlp2HqKSsnA/ORtZefnoWN8Z1e0L/8xJVF70StoWLlyo9wZEIhHmzZundztXV1c8fPhQqzw+Ph5AwdBMXfLy8rBhwwbMmjVL42qfqakpunfvjjVr1iAvLw9mZoXPbOTs7AxnZ2edy6ytrbXusyspKyurUrcl3dinZYP9anwve59aW1tXdAhEVImYSsQY7lcbfVpUx9qTd7HhbBRk+Uocj0gotI2FqQR1na2QmZuP6ORsAMD95Gz8788o/O/PKNiYm6BD/YIrcNVspJArBSiUSuQrBOQrC35U7wUBkIhFMJGICl7FIpiIxZBICn6XiER4/CQXUUnZuJ+chejkbEQnZSE9R64Rk0hUcNVvUGt3dGnkDHMTSYn7IDsvH3cTsiASAeYmYpiZiGEqKXg1MxHDTFLwIxZrX0kUhIJ9UNFVp6Ty8pW4m5gJhVKA1FQMcxMJzE2evpoWHgNVLnolbV988YXeGyht0ubt7Y3Q0FBkZGRofNBRXSXz9vbW2S45ORn5+flQKBRay+RyOZRKpc5lRERERGRctlJTzOrWAMNeq4XlR29j/7U42EhNUbeqFTydrVG3qnXBq7M1XG2l6uThbmIm/oh4jOMRCfjrfioUSgFPZPk4cC0eB67Fl1v8ggCcvp2I07cT4WBpir4tamBQG3fUd7HRqpueI8df91NwMSoFYVEpuP4gHfkleLadSASNBE0XDycrNHazRZPqdgWvbnZwsNJ9ASI+PefpTJ+pCI9Jw/WH6ZAVMyGMmUQMcxMxTE3EMJWICpJLSUGSaWpS8N5UIkYNBwu0cLeHt7sDGrjalPmVT/qPXkmbUll+MwAFBARg2bJlWL9+vfo5bTKZDBs3boSvr696uv+YmBhkZ2ejQYMGAAquktnb2+O3337DwoUL1VfUMjMzsW/fPjRo0KDIoZVERETGkpSUhKSkJIhEIjg5OaFKlSoVHRJRhXCzt8Dygc2xbECzEt2jVrdqQUI3rkNdpGXn4eStRByPeIxTtxPxJFf3kMrScrWTonYVK9R2skTtKlaoVcUKHk5WyMtXIuSvWPwW/hAZuflIzZarr/p5u9vjnSZOiE0W4eLRu7jyMBMRjzKKTb50KUmbqKQsRCVlYf8zCWt1ewt1ImduIsaV2IJHMjzKyNU7hjyFEnkKJaB9Z5KGsChg998FI+HMTcRoUt0O3u726p8aDhbqf19BEArWm//0R6GEPF+AtdQEDpamvFdRT0a9p82YfH19MWDAAMyePRsJCQnw9PTEpk2bEB0djQ0bNqjrDR8+HKdOnYLw9C9eIpFgxowZ+Oyzz/Daa69h+PDhUCgU2LBhAx48eICtW7dW1C4REdFLLisrC7/++iv27t2Lc+fOISkpSWO5k5MT/Pz80KdPHwwYMOClvs+RSJfSfFC3tzRDnxbV0adFdcgVSvzzMB15+cqnQx/FBUMfJc8MgRSLIBIBSiWQr1QWDJ1UCFAoBciVyoJXhRJVrMxRq4olpKaFD3lsWsMOs99uiCM3HmHHpVicu5sMALgSm4YrsWkAJAA0ZzQXi4DGbnbw8XBEi5r2MJWI1YmL/GlylJevhOzpe4VSgKigcwr6SN1XgAgiyPIVuP34CW7EZSA+/b+E7GFaDh6m5eDov491xm4iFqGxmy1a1HRAc3c7WJmZQPZ0u7J8BXLlBa8y+X9l+QpBHaNcIUCuSrYUSuTkFcSR8TRpluUr8df9VPx1P1W9TWtzE3WyJlcUno1amkng7mCJGg4WcHcseK3hYAkHMyWy5ECmLB+iXDlEIpFGfxT0z39/QwL+24au5FcsEv3XTvT0PQr+DsWi0v09FmxLgCy/oE/MTcWFTsxjTJU2aQOAzZs3Y968ediyZQtSU1PRrFkz7N+/Hx06dCiy3dy5c+Hh4YHVq1djwYIFkMlkaNasGUJCQtC/f/9yip6IiF4VycnJ+Prrr7Fu3Trk5uaiWbNm6N27N+rUqQMHBwcIgoDU1FRERUXhr7/+wtixYzFlyhR88MEH+PTTT0v9eByiV42pRIwWNR3KdZtSUwl6e1dHb+/qiEnOxs7LsQj564H6ipaJWARvd3v4eDjCx8MRrWo5wEZaNg8WT8qU4UZcBv55mI4bcem4EZeB+0/v/3O1k6JFTXu0cHdAy1r2aOxmV2RCWhpKpYDo5Cx10no1Ng3/xmeoE7TMQiaWeV52ngK3Hj/BrcdPdCw1AS6fN2LUhSu4t08Mc1PJf78/c6+fXKFErlyJXLkCOXLFM6//jT78tHsDjPevW+ax6pW0eXh4QCwW4+bNmzA1NYWHh0exGapIJMLdu3dLFZxUKkVgYCACAwMLrXPy5Emd5UOHDsXQoUNLtV0iIiJ91K5dG56enggMDET//v2LnU05MTERu3btwvr167F+/Xq9n/9JRBWjZhVLzOhaH9Pf9MKpfx8g/O+/8V6PDnCuUj6JpJO1Ofy9qsLf679jTHqOHHn5SlS10X5UlrGJxSLUqWqNOlWt0a9lDQBArlyBf+MzcCUmDfeTs2Ai+W/SFXPVhCvPTMSSlp2HB6k5eJCajdiUHMSmZiM7r2Lmm1BdeYQBQ25z5eUTu15Jm7+/f8HlxKezMqreExERvcpCQkLQtWvXEtevWrUqxo8fj/Hjx+PIkSN6bSszMxOBgYG4ePEiwsLCkJqaio0bN2LkyJEa9UaOHIlNmzZpta9fvz5u3rypUaZUKrFs2TL88MMPiI+Ph5eXF2bPno0hQ4boFRvRq0IiFqF1TTs8uQujX83Sl51F2VzVKympqQQtazqgZSmvgAqCgNRsOR6kZuP2w2T8GX4Ddet6wtxcqh7+qBr6KKjbPDtc8j/PpiWCUFBf+cxMnIIgQCkULMtX/jdM9flhorJ8JWRyJUxNRLAwlUBqKvnv1ezZ9+V35VevpC04OLjI90RERK8ifRI2Q9smJSVh4cKFqFmzJpo3b17oiBMAMDc3x08//aRRZmdnp1Vv7ty5WLJkCcaOHYs2bdpg7969GDp0KEQiEQYPHqxXfERE+hCJRHC0MoOjlRlq24ph+kjAG741XurH5JSGQfe0bd68GR06dEDt2rV1Lr9//z5OnTqF4cOHG7IZIiIiesrV1RXx8fFwcXHB5cuX0aZNm0LrmpiYYNiwYUWu7+HDh1i+fDkmTZqENWvWAADef/99+Pv7Y+bMmRgwYAAkkoq9kkBE9KozKGkbNWoUtmzZUmjSduHCBYwaNYpJGxERvVJGjx5d5HKRSASpVIoaNWqgY8eO8PPzK/G6zc3N4eLiUuL6CoUCWVlZhX5rvXfvXsjlckycOFEjvgkTJmDo0KE4f/482rVrV+LtERGR8RmUtAnFPFgiKysLJiaVeoJKIiIioztx4gRycnKQmJgIAHBwKLjnITW1YGrsqlWrQqlUIjk5GSKRCF27dkVISAgsLS2NGkd2djZsbW2RnZ0NBwcHDBkyBN988w2sra3VdcLDw2FlZYWGDRtqtPXx8VEvLyppS0hIUO+nSmRkJICC++/0nWQlKytL45UMxz4tG+xX43tV+jQzM1PvNnpnVNeuXcOVK1fU78+cOYP8fO0ZV9LS0rB27Vp4eXnpHRQREdGL7NChQ+jatSu++OILTJkyRZ20paSk4LvvvsPGjRtx9OhRVKtWDStXrsTChQsxb948LF++3GgxuLq6YtasWWjZsiWUSiUOHz6MoKAgXL16FSdPnlR/qRofH49q1appTSzm6uoKAIiLi9Na97OCgoKwYMECncvCwsLw6NGjUsUfFhZWqnZUOPZp2WC/Gt/L3qcxMTF6t9E7afvtt9/UB2eRSIR169Zh3bp1Ouva29tj8+bNegdFRET0Ips8eTLefvttfP755xrljo6OmD9/PuLj4zF58mQcPXoUX3zxBW7fvo2QkBCjJm1ff/21xvvBgwfDy8sLc+fORUhIiHqCkZycHJiba08VLpVK1cuLMnHiRAwYMECjLDIyEn369IGPj4/WFbziZGVlISwsDD4+Pnz4uJGwT8sG+9X4XpU+jYiI0LuN3knbuHHj0LNnTwiCAB8fHyxcuBDdu3fXqCMSiWBlZYW6detyeCQREb1yLly4gICAgEKXN2/eHFu3blW/b9++PXbv3l3mcU2fPh3z5s3D8ePH1UmbhYUFZDKZVt3c3Fz18qI4OzvD2dlZ5zJra+tSzwBnZWXF2eOMjH1aNtivxvey9+mzQ9RLSu+MytXVVT1kIjQ0FA0bNiz0YE1ERPQqsre3x9GjRzFhwgSdyw8fPqwx9X5mZma5fECxsLBAlSpVkJKSoi5zdXVFaGgoBEHQGCIZHx8PAHBzcyvzuIiIqGhiQxr7+/szYSMiInrO2LFjsXfvXgQEBOCPP/7A/fv3cf/+ffzxxx8ICAjA/v37MXbsWHX9gwcPwtvbu8zjevLkCZKSklC1alV1mbe3N7Kzs7WG61y8eFG9nIiIKpbBYxePHDmCDRs24N69e0hNTdWaUVIkEuHu3buGboaIiOiFMX/+fOTk5GDlypX47bffNJZJJBJ89NFHmD9/PoCCYYgjR45Es2bNjLb93NxcyOVy2NjYaJR/+eWXEAQB3bp1U5f17t0b06dPR1BQkPo5bYIgYO3atahevTratm1rtLiIiKh0DEraAgMD8emnn6JatWrw8fFB06ZNjRUXERHRC0skEuGbb77Bxx9/rL7SBgC1atVC586dNUapSKVSjBgxQq/1r1mzBmlpaeqZHfft24cHDx4AAKZMmYLU1FS0aNECQ4YMQYMGDQAUfMl68OBBdOvWDb1791avq0aNGpg2bRoCAwMhl8vRpk0b7NmzB2fOnMHPP//MB2sTEVUCBiVtq1evRqdOnXDw4EGYmpoaKyYiIqKXgrOzM4YMGWL09S5btkydCALA7t271ROZDBs2DPb29ujZsyeOHTuGTZs2QaFQwNPTE1999RVmzJgBsVjz7oglS5bAwcEB69atQ3BwMOrVq4etW7di6NChRo+diIj0Z1DSlpqaioCAACZsRERE5Sg6OrrYOlu2bCnx+sRiMWbPno3Zs2cbEBUREZUVg5I2Hx8f3Lp1y1ixEBERvbBsbGy0HlBdFJFIhPT09DKMiIiIXhYGJW1BQUHo3r07WrduzSEURET0Suvfv79G0iaTybB9+3a89dZb6kflEBERlYZBSdugQYOQn5+P9957DxMmTECNGjW0blgWiUS4evWqQUESERFVdsHBwRrvk5KSsH37dsyaNQudOnWqmKCIiOilYFDS5ujoiCpVqqBevXrGioeIiOiloM9QSSIioqIYlLSdPHnSSGEQERERERGRLuLiqxAREREREVFFMThpy8jIwJIlS9C1a1e0aNECYWFhAICUlBSsWLECkZGRBgdJRERERET0qjJoeOSDBw/g7++P2NhY1KtXDzdv3kRmZiaAgvvd1q1bh/v372P16tVGCZaIiKiyUj3cWuXJkycQiUQ4e/Ys0tLSdLbp169fOURGREQvOoOStpkzZ+LJkye4cuUKnJ2d4ezsrLG8T58+2L9/v0EBEhERvQgCAgIgEokgCIJG+RdffKGzvkgkgkKhKIfIiIjoRWdQ0nb06FFMnz4djRo1QnJystbyOnXqIDY2ttTrl8lk+Pzzz7FlyxakpqaiWbNmWLRoEd58880Std+xYwdWrVqFa9euwdTUFI0aNcKiRYs49TIRERldaGhoRYdAREQvKYOStpycHFStWrXQ5U+ePDFk9Rg5ciRCQkIwbdo01KtXD8HBwXj77bcRGhqKdu3aFdn2iy++wMKFCxEQEICRI0dCLpfjn3/+wcOHDw2KiYiISBd/f/+KDoGIiF5SBiVtjRo1wunTp/HBBx/oXL5nzx60aNGiVOsOCwvD9u3bERgYiBkzZgAAhg8fjiZNmmDWrFk4d+5coW0vXLiAhQsXYvny5Zg+fXqptk9ERERERFQZGJS0TZs2DSNGjECzZs0wYMAAAIBSqURkZCQWLFiA8+fPY9euXaVad0hICCQSCcaNG6cuk0qlGDNmDObMmYPY2Fi4u7vrbLtq1Sq4uLjgww8/hCAIyMrKgrW1daniICIiKo379+9j06ZNuHfvHlJTU7XudROJRNi7d28FRUdERC8Sg5K2YcOG4f79+/jss88wd+5cAEC3bt0gCALEYjG++uor9OnTp1TrDg8Ph5eXF2xtbTXKfXx8AABXrlwpNGn7448/0LZtW3z77bdYtGgRkpOT4eLigrlz52Ly5MmlioeIiKikfvnlF4wYMQL5+fmwt7eHnZ2dVh2RSFQBkRER0YvIoKQNAObOnYv33nsPu3btQmRkJJRKJerWrYt+/fqhTp06pV5vfHw8XF1dtcpVZXFxcTrbpaamIikpCX/++SdOnDiB+fPno2bNmti4cSOmTJkCU1PTQodzqiQkJCAxMVGjTPW8uczMTGRkZOi1L1lZWRqvZDj2adlgvxrfq9Knqse9UIHZs2ejQYMGCAkJgZeXV0WHQ0RELziDkzYAqFmzptHvHcvJyYG5ublWuVQqVS/XRfXBITk5Gdu3b8egQYMAFEzF3LRpUyxatKjYpC0oKAgLFizQuSwsLAyPHj0q8X4835aMi31aNtivxvey92lMTExFh1CpJCUlYdasWUzYiIjIKAxK2v7++29cuHABEydO1Lk8KCgIbdu2hbe3t97rtrCwgEwm0yrPzc1VLy+sHQCYmpoiICBAXS4WizFo0CDMnz8fMTExqFmzZqHbnjhxovoePZXIyEj06dMHPj4+aNiwoV77kpWVhbCwMPj4+MDKykqvtqQb+7RssF+N71Xp04iIiIoOoVLx9fVlIktEREZjUNI2d+5cWFhYFJq0nThxAgcPHizVA7ZdXV11Ts8fHx8PAHBzc9PZztHREVKpFPb29pBIJBrLVA//Tk1NLTJp0/WgcBVra2ut++xKysrKqtRtSTf2adlgvxrfy96nnOxJ06pVq9C9e3e0bt1a4wtEIiKi0hAb0vivv/5C+/btC13evn17XL58uVTr9vb2xu3bt7XuH7t48aJ6uS5isRje3t5ITExEXl6exjLVfXBFPVuOiIjIUE2bNsXixYsxePBg2NnZoXHjxmjWrJnGT/PmzSs6TCIiekEYlLQ9efIEJiaFX6wTi8VIT08v1boDAgKgUCiwfv16dZlMJsPGjRvh6+urnjkyJiYGN2/e1Gg7aNAgKBQKbNq0SV2Wm5uLn3/+GY0aNSr0Kh0REZExBAUFYfTo0TA3N0fdunXh7OyMKlWqaPw4OjpWdJhERPSCMGh4ZL169XD06FFMmTJF5/LDhw+XegZJX19fDBgwALNnz0ZCQgI8PT2xadMmREdHY8OGDep6w4cPx6lTpzSef/PBBx/gp59+wqRJk3D79m3UrFkTW7Zswf3797Fv375SxUNERFRSX331Fdq2bYv9+/frnO6fiIhIHwZdaRszZgwOHDiAjz76CGlpaerytLQ0TJ8+HYcPH8aYMWNKvf7Nmzdj2rRp2LJlC6ZOnQq5XI79+/ejQ4cORbazsLDAiRMnMHToUPzvf//DzJkzIRaLceDAAXTv3r3U8RAREZVEeno63n33XSZsRERkFAZdaZs6dSquXLmCVatW4dtvv1UPO4yLi4NSqcR7771n0KMApFIpAgMDERgYWGidkydP6ix3dnZGcHBwqbdNRERUWv7+/rh+/XpFh0FERC8Jg660iUQibNy4EX/88QfGjx+PJk2aoEmTJpgwYQJOnDiBTZs2QSQSGStWIiKiF8IPP/yAU6dOYenSpUhOTq7ocIiI6AVX6itt2dnZGDZsGPr37493330Xb7zxhjHjIiIiemE1atQISqUSs2fPxuzZsyGVSrUeQyMSiUo9WRcREb1aSp20WVpa4vjx47xHjIiI6Dn9+/fnSBMiIjIag+5pa9euHc6fP4+xY8caKx4iIqIXHu+pJiIiYzLonrY1a9bgzJkz+Oyzz/DgwQNjxURERERERERPGXSlrXnz5sjPz8fXX3+Nr7/+GiYmJjA3N9eowzH7RET0qjp9+jTu3buH1NRUjeeJAgXnR0NmWCYioleHQUkbx+wTERFpu3LlCgYNGoTIyEitZE2FSRsREZWUQUkbx+wTERFpe//995GQkIC1a9fC19fXqA/ZzszMRGBgIC5evIiwsDCkpqZi48aNGDlyZKFt5HI5mjdvjoiICAQGBmLGjBkay5VKJZYtW4YffvgB8fHx8PLywuzZszFkyBCjxU1ERKVnUNJGRERE2m7cuIGFCxeWyURdSUlJWLhwIWrWrInmzZvj5MmTxbb57rvvEBMTU+jyuXPnYsmSJRg7dizatGmDvXv3YujQoRCJRBg8eLARoyciotIwaCISAIiJicH48eNRv359ODg44PTp0wAKTipTp05FeHi4wUESERG9SOrVq1dmtw+4uroiPj4e9+/fR2BgYLH1ExISsHDhQnzyySc6lz98+BDLly/HpEmTsH79eowdOxb79u1D+/btMXPmTCgUCmPvAhER6cmgpO3ff/9FixYtsGPHDnh4eCAjIwP5+fkAACcnJ5w9exZr1qwxSqBEREQvii+++ALff/89Hj58aPR1m5ubw8XFpcT1P/30U9SvXx/Dhg3TuXzv3r2Qy+WYOHGiukwkEmHChAl48OABzp8/b3DMRERkGIOGR86aNQv29va4cOECRCIRnJ2dNZb36NEDO3bsMChAIiKiF02/fv2Qm5uL+vXro3PnzqhRowYkEolGHZFIhNWrV5dpHGFhYdi0aRPOnj1b6JW/8PBwWFlZoWHDhhrlPj4+6uXt2rUr0ziJiKhoBiVtp0+fxueff46qVasiOTlZa3nNmjXL5FtGIiKiyuzUqVOYMGECsrOzsW/fPp11yjppEwQBU6ZMwaBBg+Dn54fo6Gid9eLj41GtWjWtpM7V1RUAEBcXV+R2EhISkJiYqFEWGRkJoGDSlIyMDL3izsrK0nglw7FPywb71fhelT7NzMzUu41BSZtSqYSlpWWhyxMTE7We20ZERPSymzJlCmxtbRESEgJfX1/Y2tqWewzBwcG4fv06QkJCiqyXk5Oj81wtlUrVy4sSFBSEBQsW6FwWFhaGR48elTBi7bZkXOzTssF+Nb6XvU+LmhiqMAYlbS1btsSBAwc0xsGr5OfnY/v27XjttdcM2QQREdELJzIyEkuWLMGbb75ZIdvPyMjA7NmzMXPmTLi7uxdZ18LCAjKZTKs8NzdXvbwoEydOxIABAzTKIiMj0adPH/j4+GgNuyxOVlYWwsLC4OPjAysrK73akm7s07LBfjW+V6VPIyIi9G5jUNI2e/Zs9OzZExMmTFBPCfz48WMcP34cX331FSIiIjgRCRERvXIaN26M9PT0Ctv+smXLkJeXh0GDBqmHRT548AAAkJqaiujoaLi5ucHMzAyurq4IDQ2FIAgaQyTj4+MBAG5ubkVuy9nZWeuedhVra+tSX2W0srKqkCuULzP2adlgvxrfy96n1tbWercxaPbI7t27Izg4GDt27ECnTp0AAMOGDcNbb72Fv//+G5s3b0aHDh0M2QQREdELZ9myZVi3bl2FDfGJiYlBamoqGjduDA8PD3h4eKB9+/YAgK+++goeHh74999/AQDe3t7Izs7W+ub34sWL6uVERFSxDH649nvvvYd+/frh6NGjiIyMhFKpRN26ddG1a1fY2NgYI0YiIqIXyvLly2FjYwM/Pz80atQINWvW1Dl75N69e8tk+1OnTkWfPn00yhISEvDBBx9g5MiR6N27Nzw8PAAAvXv3xvTp0xEUFKQeHSMIAtauXYvq1aujbdu2ZRIjERGVnMFJG1BwCbNv377GWBUREdEL79q1axCJRKhZsyYyMzPVV7WeZcjDt9esWYO0tDT1zI779u1TD3+cMmUKWrZsiZYtW2q0UQ2TbNy4sUZCV6NGDUybNg2BgYGQy+Vo06YN9uzZgzNnzuDnn3/WSjaJiKj8GSVp279/Pw4ePKg+IdSuXRtvv/02evbsaYzVExERvVAKm17fWJYtW4b79++r3+/evRu7d+8GUHCbgp2dnV7rW7JkCRwcHLBu3ToEBwejXr162Lp1K4YOHWrUuImIqHQMStrS0tLQt29fnD59GhKJRP1Ml+PHj2PdunVo37499uzZA3t7e2PESkRERChdUli7dm0IgqBzmVgsxuzZszF79mwDIyMiorJg0EQkH374Ic6cOYNvvvkGqampuH//Pu7fv4/U1FQsWbIEZ8+exYcffmisWImIiCql2NjYCmlLRESvBoOStj179mDixImYMWOGxrMUrKysMHPmTEyYMAF79uwxNEYiIqJKzdPTE6NHj9Zrtshz585h+PDhqFevXhlGRkRELwODkjZTU1PUr1+/0OUNGjSAqalpqdcvk8nwySefwM3NDRYWFvD19cWxY8f0Xs+bb74JkUiEyZMnlzoWIiKiwpw5cwYPHjzAa6+9Bg8PD4wZMwbff/89Dh48iPPnz+PcuXM4cOAA1qxZg5EjR6JmzZpo37494uLicPr06YoOn4iIKjmD7mnr378/fv31V4wfP15rdqn8/Hzs3LkTAwYMKPX6R44ciZCQEEybNg316tVDcHAw3n77bYSGhqJdu3YlWsfu3btx/vz5UsdARERUHB8fHxw9ehRXrlzBxo0bsXfvXmzcuBHAf7NEqu4nc3d3R58+fTB69Gg+A42IiErEoKRt2LBhmDx5Mtq2bYtx48bB09MTAHDnzh2sX78eeXl5ePfdd/H3339rtHt+GmJdwsLCsH37dgQGBmLGjBkAgOHDh6NJkyaYNWsWzp07V+w6cnNz8fHHH+OTTz7B559/Xoo9JCIiKjlvb2+sXr0aq1evRlxcHG7evInk5GQAQJUqVdCgQQO4ublVcJRERPSiMShp8/f3V/9+6dIlrW8Tn68jCAJEIhEUCkWx6w4JCYFEIsG4cePUZVKpFGPGjMGcOXMQGxsLd3f3ItexdOlSKJVKzJgxg0kbERGVKzc3NyZoRERkFAYlbaqhH2UhPDwcXl5esLW11Sj38fEBAFy5cqXIpC0mJgZLlizB//73P1hYWJRZnERERERERGXJoKRtxIgRxopDS3x8vPq5b89SlcXFxRXZ/uOPP0aLFi0wePBgvbedkJCAxMREjbLIyEgAQGZmJjIyMvRaX1ZWlsYrGY59WjbYr8b3qvRpZmZmRYdARET00jIoaStLOTk5MDc31yqXSqXq5YUJDQ3Frl27cPHixVJtOygoCAsWLNC5LCwsDI8ePSrVevWZCppKhn1aNtivxvey92lMTExFh0BERPTSqrRJm4WFBWQymVZ5bm6uerku+fn5mDp1Kt577z20adOmVNueOHGi1qyXkZGR6NOnD3x8fNCwYUO91peVlYWwsDD4+PhoPM+OSo99WjbYr8b3qvRpRERERYdARET00qq0SZurqysePnyoVR4fHw8Ahd7cvXnzZty6dQvr1q1DdHS0xrInT54gOjoazs7OsLS0LHTbzs7OcHZ21rnM2tpa6z67krKysip1W9KNfVo22K/G97L3qbW1dUWHQERE9NIy6OHaZcnb2xu3b9/Wun9MNeSxsGfbxMTEQC6X4/XXX4eHh4f6ByhI6Dw8PHD06NEyjZ2IiF5dFy9exPbt23Hs2DH16BAiIiJDVNorbQEBAVi2bBnWr1+vfk6bTCbDxo0b4evrq545MiYmBtnZ2WjQoAEAYPDgwToTur59++Ltt9/G2LFj4evrW277QUREr4YnT56ge/fuOH/+vLrMxcUFBw4c4EO0iYjIIJU2afP19cWAAQMwe/ZsJCQkwNPTE5s2bUJ0dDQ2bNigrjd8+HCcOnVK/Wy4Bg0aqBO453l4eKBPnz7lET4REb1ili5dinPnzqFfv37o1KkTIiMj8cMPP2DEiBG4evVqRYdHREQvMIOTNoVCgSNHjuDevXtITU3VeLA2AIhEIsybN69U6968eTPmzZuHLVu2IDU1Fc2aNcP+/fvRoUMHQ8MmIiIyqt27d6Nfv34ICQlRlzVo0AATJkxAVFSUeqg+ERGRvgxK2i5fvoz+/fvjwYMHWsmaiiFJm1QqRWBgIAIDAwutc/LkyRKtq7D4iIiIjCE6OhoffvihRlnXrl0hCAIePHjApI2IiErNoIlIJk6ciJycHOzZswcpKSlQKpVaPwqFwlixEhERVVo5OTlas2iq3svl8ooIiYiIXhIGXWm7du0aFi9ejF69ehkrHiIiohdWVlYWUlJS1O9Vvz958kSjXMXR0bHcYiMioheXQUlbjRo1OOyQiIjoqfHjx2P8+PFa5f369dNZn6NRiIioJAxK2j755BMsW7YM48aNe6kfGktERFSc+fPnV3QIRET0ktIraVuxYoVWmbW1NTw9PTF48GC4u7tDIpFoLBeJRJg+fbphURIREVVyTNqIiKis6JW0qR5yrcuaNWt0ljNpIyIiIiIiKj29kraoqKiyioOIiOilcPfuXZiYmKBWrVoAAJlMhp9++gmnT59GZmYmvL29MXnyZLi6ulZwpERE9KLQK2lTnYCIiIhIU2pqKrp3745Lly4BAPz9/bFr1y706tUL586dU9c7dOgQNmzYgPPnz/PZbUREVCIGPadNIpFg27ZthS7fsWOH1j1uREREL6Ovv/4af//9Nz7++GMsXboUt2/fRu/evfHvv/8iJCQEqampSExMxIYNG5Ceno7PP/+8okMmIqIXhEGzRxY33b9CoYBIJDJkE0RERC+EPXv2YOzYsVi6dCkAwMvLC71798ZXX32lMeX/qFGjcOXKFezcubOiQiUioheMQVfaABSalGVkZODIkSNwcnIydBNERESVXmxsLFq1aqV+37JlSwBA8+bNtep6e3sjKSmp3GIjIqIXm95J24IFCyCRSCCRSCASiTBs2DD1+2d/HBwcsGXLFgwePLgs4iYiIqpUZDIZpFKp+r3qd3Nzc626ZmZmUCqV5RYbERG92PQeHunj44OJEydCEAQEBQXhzTffhJeXl0YdkUgEKysrtGrVSmNICBER0ctM1+gT3iZARESG0jtp6969O7p37w4AyMrKwvjx4+Hr62v0wIiIiF40y5Ytwy+//AIAkMvlAIC5c+dq3Srw8OHDco+NiIheXAZNRLJx40aN94IgIDY2Fi4uLjAzMzMoMCIiohdJzZo1kZKSgpSUFHVZrVq1EB8fj/j4eJ31iYiISsLgiUielZCQAA8PD5w9e9aYqyUiIqr0oqOjERUVpddPaWRmZmL+/Pno1q0bHB0dIRKJEBwcrFXvxx9/hL+/P6pVqwZzc3N4eHhg1KhRiI6O1rneDRs2oGHDhpBKpahXrx6+++67UsVHRETGZ9SkDSj+MQBERERUeklJSVi4cCEiIiJ0zkypEh4eDg8PD8yaNQs//PADhg0bhkOHDqFNmzaIi4vTqLtu3Tq8//77aNy4Mb777jv4+flh6tSp+Oabb8p6d4iIqAQMGh6pC2+4JiIi0nTz5k38+uuviI+PR/369TFq1CjY2tqWal2urq6Ij4+Hi4sLLl++jDZt2uisFxQUpFXWp08ftG7dGps3b8ann34KAMjJycHcuXPRo0cPhISEAADGjh0LpVKJL7/8EuPGjYODg0OpYiUiIuPglTYiIiIjWLNmDby8vLSev7Zv3z54e3tj/vz5WLt2LaZPn46WLVuW+jlt5ubmcHFxKVXb2rVrAwDS0tLUZaGhoUhOTsbEiRM16k6aNAlZWVk4cOBAqbZFRETGY9SkzdHREaGhoeoHihIREb0qfv/9d9StW1djpsj8/Hy8//77kEgk2LhxI65fv44lS5bg/v37WLx4cbnElZycjISEBFy+fBmjRo0CAHTu3Fm9PDw8HADQunVrjXatWrWCWCxWLycioopj1OGRpqam8Pf3N+YqiYiIXgj//vsvxo4dq1EWGhqKxMREzJkzByNGjAAANG7cGFevXsXBgwexcuXKMo+revXqkMlkAIAqVarg22+/xZtvvqleHh8fD4lEAmdnZ412ZmZmqFKlitb9b89LSEhAYmKiRllkZCSAgklTMjIy9Io3KytL45UMxz4tG+xX43tV+jQzM1PvNqVO2o4fP46dO3ciPDwccXFxyMnJgYWFBdzc3ODt7Y2BAwdqnBSIiIheZsnJyXB3d9co++OPPyASidC3b1+N8tdffx27d+8ul7gOHTqE3NxcREREYOvWrVofhnJycgp9TI9UKkVOTk6R6w8KCsKCBQt0LgsLC8OjR49KFXdYWFip2lHh2Kdlg/1qfC97n8bExOjdRu+kLSsrCwMHDsThw4dhZWUFb29vtGvXDlKpFLm5uYiPj8eOHTvwv//9D127dsWvv/4KKysrvQMjIiJ6kVSrVk0rQTlz5gwsLS21Znk0MzMrt+eZvvHGGwCA7t27o3fv3mjSpAmsra0xefJkAICFhQXy8vJ0ts3NzYWFhUWR6584cSIGDBigURYZGYk+ffrAx8cHDRs21CverKwshIWFwcfHh58fjIR9WjbYr8b3qvRpRESE3m30TtrmzJmDEydOYP369Rg+fDhMTU216sjlcmzevBlTpkzBnDlzsHr1ar0DAwCZTIbPP/8cW7ZsQWpqKpo1a4ZFixYVewVv9+7d2LFjBy5duoRHjx7B3d0dPXv2xLx582Bvb1+qWIiIiIrSunVrbNq0CVOmTIGNjQ1u3LiBsLAw9O7dGyYmmqfbmzdvokaNGuUeY926ddGiRQv8/PPP6qTN1dUVCoUCCQkJGkMk8/LykJycDDc3tyLX6ezsrDW0UsXa2rrUs2RaWVmVui3pxj4tG+xX43vZ+9Ta2lrvNnpPRLJz507MnDkTY8aM0ZmwAQX3to0ZMwYfffQRduzYoXdQKiNHjsSKFSvw7rvvYvXq1ZBIJHj77beLfXj3uHHjEBERgWHDhuHbb79Ft27dsGbNGvj5+RU7zIOIiKg05s+fj/v376NevXro3LkzXn/9dYhEIsyePVur7m+//Ya2bdtWQJQFwyHT09PV7729vQEAly9f1qh3+fJlKJVK9XIiIqo4eidtGRkZJf520N3dHU+ePNE7KKBgLOv27dvx9ddfIzAwEOPGjcOJEydQq1YtzJo1q8i2ISEhuHbtGhYuXIj3338fq1evxo8//oibN2/i559/LlU8RERERWnatClOnDiBVq1aIS4uDq+99hoOHjyIVq1aadQ7efIkLC0ttYYUGlN+fj5SU1O1ysPCwnD9+nWNmSI7deoER0dH/PDDDxp1f/jhB1haWqJHjx5lFicREZWM3sMjW7RogfXr1+Pdd98tcqxpVlYW1q9fX+rp/0NCQiCRSDBu3Dh1mVQqxZgxYzBnzhzExsZq3fCt0rFjR62yvn37YsSIEaUaQ0pERFQSbdu2Lfa5Zh07dsT169cN2s6aNWuQlpamntlx3759ePDgAQBgypQpEAQB7u7uGDRoEBo3bgwrKytcv34dGzduhJ2dHebNm6del4WFBb788ktMmjQJAwYMQNeuXXHmzBls3boVixcvhqOjo0GxEhGR4fRO2pYuXYouXbqgfv36eO+999CqVSu4urrC3NwcMpkM8fHxuHz5MrZu3YqUlBQcP368VIGFh4fDy8tLazyrj48PAODKlSuFJm26qG4Of/b5OURERC+iZcuW4f79++r3u3fvVs9GOWzYMLi5ueH9999HaGgoQkJCkJOTAzc3NwwZMgSfffaZ+iHbKhMnToSpqSmWL1+O33//He7u7li5ciU+/PDD8twtIiIqhN5JW9u2bXHu3DnMmTMHy5cvR35+PkQikXq5IAgwMTFBly5dsHjxYrRo0aJUgcXHx8PV1VWrXFVW3HNjnvfNN99AIpEgICCg2Lp85kzlxz4tG+xX43tV+rQ0z5yh0ouOji62zqpVq/Ra59ixY7WeM0dERJVDqZ7T5u3tjYMHD+LJkye4fv064uPj1c9pc3V1RZMmTQye8SUnJwfm5uZa5VKpVL28pLZt24YNGzZg1qxZqFevXrH1+cyZFwf7tGywX43vZe/T0jxzhoiIiEqm1A/XBgAbG5sym/3KwsICMplMqzw3N1e9vCTOnDmDMWPGoGvXrli8eHGJ2vCZM5Uf+7RssF+N71XpU94vTEREVHYMStqys7Pxzz//4OHDh8jJyYG1tTW8vLzQoEEDgwNzdXXFw4cPtcrj4+MBoNjnxgDA1atX8c4776BJkyYICQnRek5OYfjMmRcH+7RssF+N72Xv09I8c4aIiIhKplRJ2507dzBnzhzs378feXl5Wstr1KiB6dOnY+rUqRCL9X6qAICCIZihoaHIyMjQ+KBz8eJF9fKi3L17F926dYOzszMOHjzIDxRERERERPRC0jujunr1Knx8fHDkyBF06dIFAQEBcHd3h6mpKebOnYtPP/0U1apVw0cffYR33nkH+fn5pQosICAACoUC69evV5fJZDJs3LgRvr6+6pkjY2JicPPmTY22jx49wltvvQWxWIwjR46gatWqpYqBiIiIiIiooul9pW3WrFlwdHTEn3/+CRcXFwCAXC7He++9hyNHjuDixYtYvHgxduzYgWHDhmHlypWYOXOm3oH5+vpiwIABmD17NhISEuDp6YlNmzYhOjoaGzZsUNcbPnw4Tp06BUEQ1GXdunXDvXv3MGvWLJw9exZnz55VL6tWrRrefPNNveMhIiIiIiKqCHonbefPn8f8+fPVCRsAmJqa4rPPPkPz5s1x48YNNG7cGIMGDcLx48cRHBxcqqQNADZv3ox58+Zhy5YtSE1NRbNmzbB//3506NChyHZXr14FUPBMuef5+/szaSMiIiIioheG3kmbSCSCRCLRKpdIJBAEAenp6eoyPz8//Pzzz6UOTiqVIjAwEIGBgYXWOXnypFbZs1fdiIiIiIiIXmR639Pm5+eHtWvXIi0tTV0mCAKWLl0KMzMzNG7cWF2enJwMGxsbowRKRERERET0KtL7StvixYvRvn17eHp6okuXLrCwsMCFCxdw+/ZtzJkzB3Z2duq6R48eRcuWLY0aMBERERER0atE76StVatWOHv2LObNm4dDhw5BJpOhfv36CAoKwgcffKBR9/PPP0f16tWNFiwREREREdGrplTPaWvZsiUOHDhQbL327duXZvVERERERET0VOmefE1ERERERETlgkkbERERERFRJcakjYiIiIiIqBJj0kZERERERFSJMWkjIiIiIiKqxJi0ERERERERVWJM2oiIiIiIiCoxJm1ERERERESVGJM2IiIiIiKiSoxJGxERERERUSXGpI2IiIiIiKgSY9JGRERERERUiTFpIyIiIiIiqsSYtBEREREREVViTNqIiIiIiIgqMSZtRERERERElRiTNiIiIiIiokqMSRsREREREVElxqSNiIiIiIioEqvUSZtMJsMnn3wCNzc3WFhYwNfXF8eOHStR24cPH2LgwIGwt7eHra0tevfujXv37pVxxERERGUrMzMT8+fPR7du3eDo6AiRSITg4GCNOkqlEsHBwXjnnXfg7u4OKysrNGnSBIsWLUJubq7O9W7YsAENGzaEVCpFvXr18N1335XD3hARUUlU6qRt5MiRWLFiBd59912sXr0aEokEb7/9Ns6ePVtku8zMTLzxxhs4deoU5syZgwULFiA8PBz+/v5ITk4up+iJiIiMLykpCQsXLkRERASaN2+us052djZGjRqFxMREjB8/HqtWrYKPjw/mz5+P7t27QxAEjfrr1q3D+++/j8aNG+O7776Dn58fpk6dim+++aY8domIiIphUtEBFCYsLAzbt29HYGAgZsyYAQAYPnw4mjRpglmzZuHcuXOFtg0KCsKdO3cQFhaGNm3aAAC6d++OJk2aYPny5fjqq6/KZR+IiIiMzdXVFfHx8XBxccHly5fV57lnmZmZ4c8//0Tbtm3VZWPHjkXt2rUxf/58/PHHH+jSpQsAICcnB3PnzkWPHj0QEhKirqtUKvHll19i3LhxcHBwKJ+dIyIinSrtlbaQkBBIJBKMGzdOXSaVSjFmzBicP38esbGxRbZt06aNxomsQYMG6Ny5M3bu3FmmcRMREZUlc3NzuLi4FFnHzMxMI2FT6du3LwAgIiJCXRYaGork5GRMnDhRo+6kSZOQlZWFAwcOGCFqIiIyRKVN2sLDw+Hl5QVbW1uNch8fHwDAlStXdLZTKpW4du0aWrdurbXMx8cHd+/exZMnT4weLxERUWX36NEjAICTk5O6LDw8HAC0zputWrWCWCxWLycioopTaYdHxsfHw9XVVatcVRYXF6ezXUpKCmQyWbFt69evX+i2ExISkJiYqFH277//AgCuXbuGzMzMku3EUzk5OYiJicHff/8NCwsLvdqSbuzTssF+Nb5XpU9VEz3JZLIKjoSKsnTpUtja2qJ79+7qsvj4eEgkEjg7O2vUNTMzQ5UqVQo936rwnFn5sU/LBvvV+F6VPi3NObPSJm05OTkwNzfXKpdKperlhbUDUKq2KkFBQViwYIHOZUOHDi2yLRHRqyw2NhYtW7as6DBIh6+++grHjx9HUFAQ7O3t1eU5OTkwMzPT2UYqlfKcSURURvQ5Z1bapM3CwkJn9qmaqriw7FtVXpq2KhMnTsSAAQM0yjIyMnD79m00bdpUZ0JYlMjISPTp0wd79uyBp6enXm1JN/Zp2WC/Gt+r0qcymQyxsbHw9/ev6FBIhx07duCzzz7DmDFjMGHCBI1lFhYWyMvL09kuNzeX58yXAPu0bLBfje9V6dPSnDMrbdLm6uqKhw8fapXHx8cDANzc3HS2c3R0hLm5ubqePm1VnJ2dtYaJAICfn1+xcRfF09MTjRs3NmgdpIl9WjbYr8b3KvQpr7BVTseOHcPw4cPRo0cPrF27Vmu5q6srFAoFEhISNM59eXl5SE5O5jnzJcI+LRvsV+N7FfpU33NmpZ2IxNvbG7dv30ZGRoZG+cWLF9XLdRGLxWjatCkuX76stezixYuoU6cObGxsjB4vERFRZXPx4kX07dsXrVu3xs6dO2Fiov1drep8+vx58/Lly1AqlYWeb4mIqPxU2qQtICAACoUC69evV5fJZDJs3LgRvr6+cHd3BwDExMTg5s2bWm0vXbqkcQK6desWTpw4oTWEg4iI6GUUERGBHj16oHbt2ti/f3+hwxw7deoER0dH/PDDDxrlP/zwAywtLdGjR4/yCJeIiIpQaYdH+vr6YsCAAZg9ezYSEhLg6emJTZs2ITo6Ghs2bFDXGz58OE6dOgVBENRlEydOxI8//ogePXpgxowZMDU1xYoVK1CtWjV8/PHHFbE7RERERrNmzRqkpaWpZ3bct28fHjx4AACYMmUKxGIxunbtitTUVMycOVPrWWt169ZVD1+0sLDAl19+iUmTJmHAgAHo2rUrzpw5g61bt2Lx4sVwdHQs350jIiJtQiWWk5MjzJgxQ3BxcRHMzc2FNm3aCIcPH9ao4+/vL+jajdjYWCEgIECwtbUVrK2thZ49ewp37twpr9A1PH78WJg/f77w+PHjCtn+y4h9WjbYr8bHPqWyUKtWLQGAzp+oqCghKiqq0OUAhBEjRmitc/369UL9+vUFMzMzoW7dusLKlSsFpVJZ7vvG/2eMj31aNtivxsc+LZxIEJ65REVERERERESVSqW9p42IiIiIiIiYtBEREREREVVqTNqIiIiIiIgqMSZtRERERERElRiTtjIkk8nwySefwM3NDRYWFvD19cWxY8cqOqwXRmZmJubPn49u3brB0dERIpEIwcHBOutGRESgW7dusLa2hqOjI9577z0kJiaWb8CV3KVLlzB58mQ0btwYVlZWqFmzJgYOHIjbt29r1WV/ltyNGzcwYMAA1KlTB5aWlnByckKHDh2wb98+rbrsV6LC8ZxpGJ4zjY/nTePjObP0OHtkGRoyZAhCQkIwbdo01KtXD8HBwbh06RJCQ0PRrl27ig6v0ouOjoaHhwdq1qyJOnXq4OTJk9i4cSNGjhypUe/Bgwdo0aIF7OzsMHXqVGRmZmLZsmWoWbMmwsLCYGZmVjE7UMkEBATgzz//xIABA9CsWTM8evQIa9asQWZmJi5cuIAmTZoAYH/q6+DBg/j222/h5+cHNzc3ZGdnY9euXThz5gzWrVuHcePGAWC/EhWH50zD8JxpfDxvGh/PmQao2CcOvLwuXrwoABACAwPVZTk5OULdunUFPz+/CozsxZGbmyvEx8cLgiAIly5dEgAIGzdu1Ko3YcIEwcLCQrh//7667NixYwIAYd26deUVbqX3559/CjKZTKPs9u3bgrm5ufDuu++qy9ifhsvPzxeaN28u1K9fX13GfiUqHM+ZhuM50/h43iwfPGeWDIdHlpGQkBBIJBL1NwYAIJVKMWbMGJw/fx6xsbEVGN2LwdzcHC4uLsXW27VrF3r27ImaNWuqy7p06QIvLy/s3LmzLEN8obRt21brm6l69eqhcePGiIiIUJexPw0nkUjg7u6OtLQ0dRn7lahwPGcajudM4+N5s3zwnFkyTNrKSHh4OLy8vGBra6tR7uPjAwC4cuVKBUT18nn48CESEhLQunVrrWU+Pj4IDw+vgKheHIIg4PHjx3BycgLA/jREVlYWkpKScPfuXaxcuRKHDh1C586dAbBfiYrDc2b54LHIcDxvGgfPmfozqegAXlbx8fFwdXXVKleVxcXFlXdIL6X4+HgAKLSvU1JSIJPJYG5uXt6hvRB+/vlnPHz4EAsXLgTA/jTExx9/jHXr1gEAxGIx+vXrhzVr1gBgvxIVh+fM8sFjkeF43jQOnjP1x6StjOTk5Oj8Y5JKperlZDhVPxbX16/a/9glcfPmTUyaNAl+fn4YMWIEAPanIaZNm4aAgADExcVh586dUCgUyMvLA8B+JSoOz5nlg8ciw/C8aTw8Z+qPwyPLiIWFBWQymVZ5bm6uejkZTtWP7Gv9PHr0CD169ICdnZ36XhKA/WmIBg0aoEuXLhg+fDj279+PzMxM9OrVC4IgsF+JisFzZvngsaj0eN40Lp4z9cekrYy4urqqL+8+S1Xm5uZW3iG9lFSXzgvra0dHx1fum5jipKeno3v37khLS8Phw4c1/hbZn8YTEBCAS5cu4fbt2+xXomLwnFk+eCwqHZ43yx7PmcVj0lZGvL29cfv2bWRkZGiUX7x4Ub2cDFe9enVUrVoVly9f1loWFhbGfn5Obm4uevXqhdu3b2P//v1o1KiRxnL2p/Gohnekp6ezX4mKwXNm+eCxSH88b5YPnjOLx6StjAQEBEChUGD9+vXqMplMho0bN8LX1xfu7u4VGN3LpX///ti/f7/GlNB//PEHbt++jQEDBlRgZJWLQqHAoEGDcP78efz666/w8/PTWY/9qZ+EhAStMrlcjs2bN8PCwkJ9gme/EhWO58zyw2NRyfG8aXw8Z5aeSBAEoaKDeFkNHDgQv/32G6ZPnw5PT09s2rQJYWFh+OOPP9ChQ4eKDu+FsGbNGqSlpSEuLg4//PAD+vXrhxYtWgAApkyZAjs7O8TGxqJFixawt7fHhx9+iMzMTAQGBqJGjRq4dOnSK3kJXZdp06Zh9erV6NWrFwYOHKi1fNiwYQDA/tRT3759kZGRgQ4dOqB69ep49OgRfv75Z9y8eRPLly/HRx99BID9SlQcnjMNx3OmcfG8aXw8ZxqgIp/s/bLLyckRZsyYIbi4uAjm5uZCmzZthMOHD1d0WC+UWrVqCQB0/kRFRanr/fPPP8Jbb70lWFpaCvb29sK7774rPHr0qOICr4T8/f0L7cvnDwXsz5L75ZdfhC5dugjVqlUTTExMBAcHB6FLly7C3r17teqyX4kKx3Om4XjONC6eN42P58zS45U2IiIiIiKiSoz3tBEREREREVViTNqIiIiIiIgqMSZtRERERERElRiTNiIiIiIiokqMSRsREREREVElxqSNiIiIiIioEmPSRkREREREVIkxaSMiIiIiIqrEmLQRERERERFVYkzaiIiIiIiIKjEmbURERERERJUYkzaiSmrbtm1YtWpVRYdBRERU6fGcSS87kSAIQkUHQUTaevbsiX/++QfR0dEVHQoREVGlxnMmvex4pY2IiIiIiKgSY9JGVEGePHmCadOmoXbt2jA3N4ezszPefPNN/P333+jYsSMOHDiA+/fvQyQSQSQSoXbt2uq2MpkM8+fPh6enJ8zNzeHu7o5Zs2ZBJpNpbEMkEmHy5Mn4+eefUb9+fUilUrRq1QqnT58u570lIiIqPZ4z6VVnUtEBEL2qxo8fj5CQEEyePBmNGjVCcnIyzp49i4iICMydOxfp6el48OABVq5cCQCwtrYGACiVSrzzzjs4e/Ysxo0bh4YNG+L69etYuXIlbt++jT179mhs59SpU9ixYwemTp0Kc3NzBAUFoVu3bggLC0OTJk3Ke7eJiIj0xnMmvfIEIqoQdnZ2wqRJkwpd3qNHD6FWrVpa5Vu2bBHEYrFw5swZjfK1a9cKAIQ///xTXQZAACBcvnxZXXb//n1BKpUKffv2NXwniIiIygHPmfSq4/BIogpib2+PixcvIi4uTq92v/76Kxo2bIgGDRogKSlJ/dOpUycAQGhoqEZ9Pz8/tGrVSv2+Zs2a6N27N44cOQKFQmH4jhAREZUxnjPpVcekjaiCLF26FP/88w/c3d3h4+ODL774Avfu3Su23Z07d3Djxg1UrVpV48fLywsAkJCQoFG/Xr16Wuvw8vJCdnY2EhMTjbMzREREZYjnTHrV8Z42ogoycOBAtG/fHr/99huOHj2KwMBAfPPNN9i9eze6d+9eaDulUommTZtixYoVOpe7u7uXVchEREQVgudMetUxaSOqQK6urpg4cSImTpyIhIQEtGzZEosXL0b37t0hEol0tqlbty6uXr2Kzp07F1rnWXfu3NEqu337NiwtLVG1alWD94GIiKg88JxJrzIOjySqAAqFAunp6Rplzs7OcHNzU09BbGVlpVUHKPi28eHDh/jxxx+1luXk5CArK0uj7Pz58/j777/V72NjY7F371689dZbkEgkxtgdIiKiMsNzJhGvtBFViCdPnqBGjRoICAhA8+bNYW1tjePHj+PSpUtYvnw5AKBVq1bYsWMHPvroI7Rp0wbW1tbo1asX3nvvPezcuRPjx49HaGgoXn/9dSgUCty8eRM7d+7EkSNH0Lp1a/W2mjRpgq5du2pMXwwACxYsqJB9JyIi0gfPmUSASBAEoaKDIHrV5OXl4bPPPsPRo0dx7949KJVKeHp64oMPPsCECRMAAFlZWRg3bhwOHjyItLQ01KpVC9HR0QAAuVyOlStXYvPmzYiMjISlpSXq1KmDd955B9OmTYOtrS2AggeFTpo0CX5+fliwYAFiYmLQqFEjrFixAh07dqygvSciIio5njOJmLQRvdRUJ6A1a9ZUdChERESVGs+ZVJnxnjYiIiIiIqJKjEkbERERERFRJcakjYiIiIiIqBLjPW1ERERERESVGK+0ERERERERVWJM2oiIiIiIiCoxJm1ERERERESVGJM2IiIiIiKiSoxJGxERERERUSXGpI2IiIiIiKgSY9JGRERERERUiTFpIyIiIiIiqsSYtBEREREREVViTNqIiIiIiIgqMSZtREREREREldj/ATQaFojqajr9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1020x240 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Looking at the 90th percentile value for SBP exposure - we would also expect this to remain stable over time. \n",
    "\n",
    "q = 90\n",
    "age = 80\n",
    "sex = \"Male\"\n",
    "t = sim_data.query('alive == \"alive\" and sex == @sex and age >= @age and age < @age+5')\n",
    "\n",
    "plt.figure(figsize=(8.5,2), dpi=120)\n",
    "plt.subplot(1,2,1)\n",
    "t.groupby('step').high_sbp_prop.apply(np.percentile, q=q).plot()\n",
    "plt.axhline(q/100, color='k', linestyle='--')\n",
    "plt.axis(ymin=0, ymax=1)\n",
    "plt.ylabel(f'{q}-th percentile')\n",
    "plt.title('SBP propensity')\n",
    "plt.grid()\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "t.groupby('step').high_sbp.apply(np.percentile, q=q).plot()\n",
    "# plt.axhline(120, color='k', linestyle='--')\n",
    "plt.axis(ymin=120)\n",
    "plt.ylabel(f'SBP (mmHg)')\n",
    "plt.title(f'{q}-th percentile SBP exposure')\n",
    "plt.grid()\n",
    "\n",
    "plt.subplots_adjust(wspace=.4);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c0c7546b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# It decreases! But the propensity doesn't decrease, which is odd. \n",
    "\n",
    "## This was never solved and is still an issue in the model. This is still an interesting example in debugging. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be8eae21",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b7d6194",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9525969",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}