explore_ABCD_anxiety_subjs_measures.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "#import matplotlib.pyplot as plt\n",
    "# Note! ITK interacts weirdly here.  from lazy_imports import itk does not work.\n",
    "# Additionally, import itk must occur before lazy_imports for itkwidgets.view (ie itkview) to work.\n",
    "import itk\n",
    "#from lazy_imports import itk\n",
    "from lazy_imports import np\n",
    "from lazy_imports import plt\n",
    "from lazy_imports import sitk\n",
    "from lazy_imports import loadmat, savemat\n",
    "from lazy_imports import interactive\n",
    "from lazy_imports import ipywidgets\n",
    "from lazy_imports import pv\n",
    "import pandas as pd\n",
    "#import seaborn as sns\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (6, 6) # (w, h)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Display Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# from colorbrewer2, sequential 9 values pasted together YlGnBu (reverse order) then YlOrRd\n",
    "# EXCEPT THESE ARE NOT PRINT FRIENDLY OR PHOTOCOPY SAFE!!!\n",
    "# But skip the yellows in the middle -- too light\n",
    "geo_colors = ['tab:red', 'tab:pink', 'tab:orange', 'tab:blue', 'tab:purple', 'tab:green', 'tab:cyan']\n",
    "eul_colors = ['k', 'tab:gray', 'tab:brown', 'm', 'y', 'tab:olive', 'maroon']\n",
    "#interp_colors = ['#081d58', '#253494', '#225ea8', '#1d91c0', '#41b6c4', '#7fcdbb', '#c7e9b4', '#edf8b1', '#ffffd9',\n",
    "#                 '#ffffcc', '#ffeda0', '#fed976', '#feb24c', '#fd8d3c', '#fc4e2a', '#e31a1c', '#bd0026', '#800026']\n",
    "interp_colors = ['#081d58', '#253494', '#225ea8', '#1d91c0', '#41b6c4', '#7fcdbb', '#c7e9b4',\n",
    "                 '#fed976', '#feb24c', '#fd8d3c', '#fc4e2a', '#e31a1c', '#bd0026', '#800026']\n",
    "# Compromise, use 5 class YlGnBu (reverse order) and YlOrBr again leaving out yellow\n",
    "#interp_colors = ['#253494', '#2c7fb8', '#41b6c4', '#a1dab4', '#fed98e', '#fe9929', '#d95f0e', '#993404']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_abcd_csv(filename, index_cols=None):\n",
    "  \"\"\" Read an ABCD measure.  Note that the ABCD header is 2 lines, where the second line provides additional detail sometimes.  We will read this data in and the columns entry will be a tuple of size 2.  Returned dataframe will have a multiindex of subjectkey,eventname \"\"\"\n",
    "\n",
    "  if index_cols is None:\n",
    "    index_cols = ['subjectkey','eventname']\n",
    "  \n",
    "  # First read the first few rows in to get the header info.\n",
    "  df = pd.read_csv(filename, header=[0,1],sep='\\t',nrows=5)\n",
    "  orig_midx_hdr = df.columns\n",
    "  \n",
    "  # Then read all the data, indexing in subjectkey and eventname\n",
    "  df = pd.read_csv(filename, header=0,skiprows=[1],index_col=index_cols,sep='\\t')#,nrows=nrows)\n",
    "  hdr = df.columns\n",
    "\n",
    "  new_midx_hdr = pd.MultiIndex.from_tuples([orig_midx_hdr[col] for col in range(len(orig_midx_hdr)) if orig_midx_hdr[col][0] in hdr])\n",
    "\n",
    "  df.columns = new_midx_hdr\n",
    "\n",
    "  return(df)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read in Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "datadir = '/usr/sci/projects/abcd/'\n",
    "anxiety_vars_file = datadir + 'anxiety_study_vars.csv'\n",
    "df = read_abcd_csv(anxiety_vars_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>abcd_dmriqc01_id</th>\n",
       "      <th>abcd_drsip101_id</th>\n",
       "      <th>abcd_ehis01_id</th>\n",
       "      <th>abcd_ksad01_id</th>\n",
       "      <th>abcd_ksad501_id</th>\n",
       "      <th>abcd_t2wqc01_id</th>\n",
       "      <th>abcd_tbss01_id</th>\n",
       "      <th>acs_raked_propensity_score</th>\n",
       "      <th>acspsw03_id</th>\n",
       "      <th>collection_id</th>\n",
       "      <th>...</th>\n",
       "      <th>t2w_postqc_inhomogeneity</th>\n",
       "      <th>t2w_postqc_motion</th>\n",
       "      <th>t2w_postqc_notes</th>\n",
       "      <th>t2w_postqc_nrev</th>\n",
       "      <th>t2w_postqc_qc</th>\n",
       "      <th>t2w_postqc_regt1</th>\n",
       "      <th>t2w_postqc_revdisp</th>\n",
       "      <th>t2w_postqc_stype</th>\n",
       "      <th>visit</th>\n",
       "      <th>OurAnxietyIndicator</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>abcd_dmriqc01_id</th>\n",
       "      <th>abcd_drsip101_id</th>\n",
       "      <th>abcd_ehis01_id</th>\n",
       "      <th>abcd_ksad01_id</th>\n",
       "      <th>abcd_ksad501_id</th>\n",
       "      <th>abcd_t2wqc01_id</th>\n",
       "      <th>abcd_tbss01_id</th>\n",
       "      <th>Imputed raked propensity weight. The raked propensity weight merges the ACS and ABCD data (with missing data imputed), estimates the propensity model, computes and scales/trims the propensity weights and finally rakes the scaled weights to final ACS control totals by age, sex and race/ethnicity.</th>\n",
       "      <th>acspsw03_id</th>\n",
       "      <th>collection_id</th>\n",
       "      <th>...</th>\n",
       "      <th>Inhomogeneity score (0=no inhomogeneity, 1=mild inhomogeneity, 2=moderate inhomogeneity, 3=severe inhomogeneity)</th>\n",
       "      <th>Motion score (0=no motion, 1=mild motion, 2=moderate motion, 3=severe motion artifact)</th>\n",
       "      <th>sMRI T2w postprocessing QC Notes</th>\n",
       "      <th>Number of reviews</th>\n",
       "      <th>Overall QC score</th>\n",
       "      <th>Registration error score (0=good registration, 1=mild rotation or translation, 2=moderate rotation or translation, 3=severe rotation or translation)</th>\n",
       "      <th>Disparity between reviewers</th>\n",
       "      <th>Series type</th>\n",
       "      <th>Visit name</th>\n",
       "      <th>Unnamed: 2816_level_1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subjectkey</th>\n",
       "      <th>eventname</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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 rowspan=\"3\" valign=\"top\">NDAR_INV07RAHHYH</th>\n",
       "      <th>1_year_follow_up_y_arm_1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190594</td>\n",
       "      <td>173743</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>721.49560</td>\n",
       "      <td>96916.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_year_follow_up_y_arm_1</th>\n",
       "      <td>19.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190595</td>\n",
       "      <td>173639</td>\n",
       "      <td>15.0</td>\n",
       "      <td>53060.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>G010_INV07RAHHYH_2year</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baseline_year_1_arm_1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>33113.0</td>\n",
       "      <td>190596</td>\n",
       "      <td>173640</td>\n",
       "      <td>16.0</td>\n",
       "      <td>53061.0</td>\n",
       "      <td>726.84265</td>\n",
       "      <td>96917.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>G010_INV07RAHHYH_baseline</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">NDAR_INV0KPZW3NB</th>\n",
       "      <th>1_year_follow_up_y_arm_1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190710</td>\n",
       "      <td>174151</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>97231.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_year_follow_up_y_arm_1</th>\n",
       "      <td>409.0</td>\n",
       "      <td>446.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190717</td>\n",
       "      <td>174158</td>\n",
       "      <td>398.0</td>\n",
       "      <td>53442.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S014_INV0KPZW3NB_2year</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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 rowspan=\"2\" valign=\"top\">NDAR_INVXTRHH68Z</th>\n",
       "      <th>2_year_follow_up_y_arm_1</th>\n",
       "      <td>15700.0</td>\n",
       "      <td>17702.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>221169</td>\n",
       "      <td>204248</td>\n",
       "      <td>17197.0</td>\n",
       "      <td>74670.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S042_INVXTRHH68Z_2year</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baseline_year_1_arm_1</th>\n",
       "      <td>15701.0</td>\n",
       "      <td>17726.0</td>\n",
       "      <td>42473.0</td>\n",
       "      <td>221170</td>\n",
       "      <td>204277</td>\n",
       "      <td>17198.0</td>\n",
       "      <td>74671.0</td>\n",
       "      <td>161.41574</td>\n",
       "      <td>117789.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S042_INVXTRHH68Z_baseline</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">NDAR_INVY43C1PAY</th>\n",
       "      <th>1_year_follow_up_y_arm_1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>220501</td>\n",
       "      <td>203773</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1846.28220</td>\n",
       "      <td>118787.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_year_follow_up_y_arm_1</th>\n",
       "      <td>16667.0</td>\n",
       "      <td>19280.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>220502</td>\n",
       "      <td>203799</td>\n",
       "      <td>17797.0</td>\n",
       "      <td>73631.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S011_INVY43C1PAY_2year</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baseline_year_1_arm_1</th>\n",
       "      <td>16668.0</td>\n",
       "      <td>19302.0</td>\n",
       "      <td>42893.0</td>\n",
       "      <td>219997</td>\n",
       "      <td>203800</td>\n",
       "      <td>17798.0</td>\n",
       "      <td>73632.0</td>\n",
       "      <td>1393.26350</td>\n",
       "      <td>118788.0</td>\n",
       "      <td>2573</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S011_INVY43C1PAY_baseline</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>114 rows × 2815 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          abcd_dmriqc01_id abcd_drsip101_id  \\\n",
       "                                          abcd_dmriqc01_id abcd_drsip101_id   \n",
       "subjectkey       eventname                                                    \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1              NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1             19.0            139.0   \n",
       "                 baseline_year_1_arm_1                20.0            140.0   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1              NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1            409.0            446.0   \n",
       "...                                                    ...              ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1          15700.0          17702.0   \n",
       "                 baseline_year_1_arm_1             15701.0          17726.0   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1              NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1          16667.0          19280.0   \n",
       "                 baseline_year_1_arm_1             16668.0          19302.0   \n",
       "\n",
       "                                          abcd_ehis01_id abcd_ksad01_id  \\\n",
       "                                          abcd_ehis01_id abcd_ksad01_id   \n",
       "subjectkey       eventname                                                \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1            NaN         190594   \n",
       "                 2_year_follow_up_y_arm_1            NaN         190595   \n",
       "                 baseline_year_1_arm_1           33113.0         190596   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1            NaN         190710   \n",
       "                 2_year_follow_up_y_arm_1            NaN         190717   \n",
       "...                                                  ...            ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1            NaN         221169   \n",
       "                 baseline_year_1_arm_1           42473.0         221170   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1            NaN         220501   \n",
       "                 2_year_follow_up_y_arm_1            NaN         220502   \n",
       "                 baseline_year_1_arm_1           42893.0         219997   \n",
       "\n",
       "                                          abcd_ksad501_id abcd_t2wqc01_id  \\\n",
       "                                          abcd_ksad501_id abcd_t2wqc01_id   \n",
       "subjectkey       eventname                                                  \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1          173743             NaN   \n",
       "                 2_year_follow_up_y_arm_1          173639            15.0   \n",
       "                 baseline_year_1_arm_1             173640            16.0   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1          174151             NaN   \n",
       "                 2_year_follow_up_y_arm_1          174158           398.0   \n",
       "...                                                   ...             ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1          204248         17197.0   \n",
       "                 baseline_year_1_arm_1             204277         17198.0   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1          203773             NaN   \n",
       "                 2_year_follow_up_y_arm_1          203799         17797.0   \n",
       "                 baseline_year_1_arm_1             203800         17798.0   \n",
       "\n",
       "                                          abcd_tbss01_id  \\\n",
       "                                          abcd_tbss01_id   \n",
       "subjectkey       eventname                                 \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1            NaN   \n",
       "                 2_year_follow_up_y_arm_1        53060.0   \n",
       "                 baseline_year_1_arm_1           53061.0   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1            NaN   \n",
       "                 2_year_follow_up_y_arm_1        53442.0   \n",
       "...                                                  ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1        74670.0   \n",
       "                 baseline_year_1_arm_1           74671.0   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1            NaN   \n",
       "                 2_year_follow_up_y_arm_1        73631.0   \n",
       "                 baseline_year_1_arm_1           73632.0   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                        acs_raked_propensity_score  \\\n",
       "                                          Imputed raked propensity weight. The raked propensity weight merges the ACS and ABCD data (with missing data imputed), estimates the propensity model, computes and scales/trims the propensity weights and finally rakes the scaled weights to final ACS control totals by age, sex and race/ethnicity.   \n",
       "subjectkey       eventname                                                                                                                                                                                                                                                                                                                           \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                                          721.49560                                                                                                                                                                                                                                                         \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                                                                                                                                                                         \n",
       "                 baseline_year_1_arm_1                                             726.84265                                                                                                                                                                                                                                                         \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                                            0.00000                                                                                                                                                                                                                                                         \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                                                                                                                                                                         \n",
       "...                                                                                      ...                                                                                                                                                                                                                                                         \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                                                NaN                                                                                                                                                                                                                                                         \n",
       "                 baseline_year_1_arm_1                                             161.41574                                                                                                                                                                                                                                                         \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                                         1846.28220                                                                                                                                                                                                                                                         \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                                                                                                                                                                         \n",
       "                 baseline_year_1_arm_1                                            1393.26350                                                                                                                                                                                                                                                         \n",
       "\n",
       "                                          acspsw03_id collection_id  ...  \\\n",
       "                                          acspsw03_id collection_id  ...   \n",
       "subjectkey       eventname                                           ...   \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1     96916.0          2573  ...   \n",
       "                 2_year_follow_up_y_arm_1         NaN          2573  ...   \n",
       "                 baseline_year_1_arm_1        96917.0          2573  ...   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1     97231.0          2573  ...   \n",
       "                 2_year_follow_up_y_arm_1         NaN          2573  ...   \n",
       "...                                               ...           ...  ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1         NaN          2573  ...   \n",
       "                 baseline_year_1_arm_1       117789.0          2573  ...   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1    118787.0          2573  ...   \n",
       "                 2_year_follow_up_y_arm_1         NaN          2573  ...   \n",
       "                 baseline_year_1_arm_1       118788.0          2573  ...   \n",
       "\n",
       "                                                                                                                                  t2w_postqc_inhomogeneity  \\\n",
       "                                          Inhomogeneity score (0=no inhomogeneity, 1=mild inhomogeneity, 2=moderate inhomogeneity, 3=severe inhomogeneity)   \n",
       "subjectkey       eventname                                                                                                                                   \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                 \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "...                                                                                      ...                                                                 \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                 \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                 \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                 \n",
       "\n",
       "                                                                                                               t2w_postqc_motion  \\\n",
       "                                          Motion score (0=no motion, 1=mild motion, 2=moderate motion, 3=severe motion artifact)   \n",
       "subjectkey       eventname                                                                                                         \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 baseline_year_1_arm_1                                                   NaN                                       \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                       \n",
       "...                                                                                      ...                                       \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 baseline_year_1_arm_1                                                   NaN                                       \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                       \n",
       "                 baseline_year_1_arm_1                                                   NaN                                       \n",
       "\n",
       "                                                          t2w_postqc_notes  \\\n",
       "                                          sMRI T2w postprocessing QC Notes   \n",
       "subjectkey       eventname                                                   \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                              NaN   \n",
       "                 2_year_follow_up_y_arm_1                              NaN   \n",
       "                 baseline_year_1_arm_1                                 NaN   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                              NaN   \n",
       "                 2_year_follow_up_y_arm_1                              NaN   \n",
       "...                                                                    ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                              NaN   \n",
       "                 baseline_year_1_arm_1                                 NaN   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                              NaN   \n",
       "                 2_year_follow_up_y_arm_1                              NaN   \n",
       "                 baseline_year_1_arm_1                                 NaN   \n",
       "\n",
       "                                            t2w_postqc_nrev    t2w_postqc_qc  \\\n",
       "                                          Number of reviews Overall QC score   \n",
       "subjectkey       eventname                                                     \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1               NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1               0.0              NaN   \n",
       "                 baseline_year_1_arm_1                  0.0              NaN   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1               NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1               0.0              NaN   \n",
       "...                                                     ...              ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1               0.0              NaN   \n",
       "                 baseline_year_1_arm_1                  0.0              NaN   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1               NaN              NaN   \n",
       "                 2_year_follow_up_y_arm_1               0.0              NaN   \n",
       "                 baseline_year_1_arm_1                  0.0              NaN   \n",
       "\n",
       "                                                                                                                                                                              t2w_postqc_regt1  \\\n",
       "                                          Registration error score (0=good registration, 1=mild rotation or translation, 2=moderate rotation or translation, 3=severe rotation or translation)   \n",
       "subjectkey       eventname                                                                                                                                                                       \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                                                     \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "...                                                                                      ...                                                                                                     \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                                                     \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 2_year_follow_up_y_arm_1                                                NaN                                                                                                     \n",
       "                 baseline_year_1_arm_1                                                   NaN                                                                                                     \n",
       "\n",
       "                                                   t2w_postqc_revdisp  \\\n",
       "                                          Disparity between reviewers   \n",
       "subjectkey       eventname                                              \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                         NaN   \n",
       "                 2_year_follow_up_y_arm_1                         0.0   \n",
       "                 baseline_year_1_arm_1                            0.0   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                         NaN   \n",
       "                 2_year_follow_up_y_arm_1                         0.0   \n",
       "...                                                               ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                         0.0   \n",
       "                 baseline_year_1_arm_1                            0.0   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                         NaN   \n",
       "                 2_year_follow_up_y_arm_1                         0.0   \n",
       "                 baseline_year_1_arm_1                            0.0   \n",
       "\n",
       "                                          t2w_postqc_stype  \\\n",
       "                                               Series type   \n",
       "subjectkey       eventname                                   \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1              NaN   \n",
       "                 2_year_follow_up_y_arm_1              NaN   \n",
       "                 baseline_year_1_arm_1                 NaN   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1              NaN   \n",
       "                 2_year_follow_up_y_arm_1              NaN   \n",
       "...                                                    ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1              NaN   \n",
       "                 baseline_year_1_arm_1                 NaN   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1              NaN   \n",
       "                 2_year_follow_up_y_arm_1              NaN   \n",
       "                 baseline_year_1_arm_1                 NaN   \n",
       "\n",
       "                                                               visit  \\\n",
       "                                                          Visit name   \n",
       "subjectkey       eventname                                             \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                        NaN   \n",
       "                 2_year_follow_up_y_arm_1     G010_INV07RAHHYH_2year   \n",
       "                 baseline_year_1_arm_1     G010_INV07RAHHYH_baseline   \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                        NaN   \n",
       "                 2_year_follow_up_y_arm_1     S014_INV0KPZW3NB_2year   \n",
       "...                                                              ...   \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1     S042_INVXTRHH68Z_2year   \n",
       "                 baseline_year_1_arm_1     S042_INVXTRHH68Z_baseline   \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                        NaN   \n",
       "                 2_year_follow_up_y_arm_1     S011_INVY43C1PAY_2year   \n",
       "                 baseline_year_1_arm_1     S011_INVY43C1PAY_baseline   \n",
       "\n",
       "                                            OurAnxietyIndicator  \n",
       "                                          Unnamed: 2816_level_1  \n",
       "subjectkey       eventname                                       \n",
       "NDAR_INV07RAHHYH 1_year_follow_up_y_arm_1                   1.0  \n",
       "                 2_year_follow_up_y_arm_1                   1.0  \n",
       "                 baseline_year_1_arm_1                      1.0  \n",
       "NDAR_INV0KPZW3NB 1_year_follow_up_y_arm_1                   1.0  \n",
       "                 2_year_follow_up_y_arm_1                   1.0  \n",
       "...                                                         ...  \n",
       "NDAR_INVXTRHH68Z 2_year_follow_up_y_arm_1                   1.0  \n",
       "                 baseline_year_1_arm_1                      1.0  \n",
       "NDAR_INVY43C1PAY 1_year_follow_up_y_arm_1                   0.0  \n",
       "                 2_year_follow_up_y_arm_1                   0.0  \n",
       "                 baseline_year_1_arm_1                      0.0  \n",
       "\n",
       "[114 rows x 2815 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Symptom - Excessive worries across breadth of domains Present</th>\n",
       "      <th>Symptom - Excessive worries across breadth of domains, Present</th>\n",
       "      <th>Symptom - Excessive worries across breadth of domains Past</th>\n",
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       "      <th>Symptom - Worry associated with defined symptom(s), Present</th>\n",
       "      <th>Symptom - Worry associated with defined symptom(s) Past</th>\n",
       "      <th>Symptom - Worry associated with defined symptom(s), Past</th>\n",
       "      <th>Symptom - Difficulty controlling worries Present</th>\n",
       "      <th>Symptom - Difficulty controlling worries, Present</th>\n",
       "      <th>...</th>\n",
       "      <th>Symptom - Impairment due to fear or avoidance of phobic object Past</th>\n",
       "      <th>Symptom - Impairment due to fear or avoidance of phobic object Past</th>\n",
       "      <th>Symptom - Distress due to fear or avoidance of phobic object Present</th>\n",
       "      <th>Symptom - Distress due to fear or avoidance of phobic object Present</th>\n",
       "      <th>Symptom - Distress due to fear or avoidance of phobic object Past</th>\n",
       "      <th>Symptom - Distress due to fear or avoidance of phobic object Past</th>\n",
       "      <th>Symptom - Duration of phobia at least 6 months Present</th>\n",
       "      <th>Symptom - Duration of phobia at least 6 months Present</th>\n",
       "      <th>Symptom - Duration of past phobia at least 6 months Present</th>\n",
       "      <th>Symptom - Duration of past phobia at least 6 months, Present</th>\n",
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       "      <th>NDAR_INV07RAHHYH</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>NDAR_INV0KPZW3NB</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVH7TVMCPN</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVHF1GBEEX</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVJXA05086</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVK62C7NW4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVL1GF9KZ8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVN4BPDTK4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVPC72NTBK</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVPDFDEURE</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVVFCBH31R</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVWKNKABEN</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVWM3FXZ4K</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVXTRHH68Z</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NDAR_INVY43C1PAY</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 1613 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                ksads_10_320_p  \\\n",
       "                 Symptom - Excessive worries across breadth of domains Present   \n",
       "subjectkey                                                                       \n",
       "NDAR_INV07RAHHYH                                                0.0              \n",
       "NDAR_INV0KPZW3NB                                                0.0              \n",
       "NDAR_INV1EECRFPM                                                0.0              \n",
       "NDAR_INV1MHAP6AR                                                1.0              \n",
       "NDAR_INV2RJ8ZRGL                                                0.0              \n",
       "NDAR_INV2YH5GYE4                                                0.0              \n",
       "NDAR_INV3W5X0ZBG                                                0.0              \n",
       "NDAR_INV402278X9                                                1.0              \n",
       "NDAR_INV4G19G9J8                                                0.0              \n",
       "NDAR_INV5784LZWF                                                0.0              \n",
       "NDAR_INV5P2UAGPW                                                0.0              \n",
       "NDAR_INV6F8VJE7N                                                0.0              \n",
       "NDAR_INV6NYCB4Y6                                                1.0              \n",
       "NDAR_INV6VZBKHPK                                                0.0              \n",
       "NDAR_INV7F1N85W0                                                1.0              \n",
       "NDAR_INV80PL5DHV                                                0.0              \n",
       "NDAR_INV9DV0865Y                                                1.0              \n",
       "NDAR_INV9HVAC68Z                                                0.0              \n",
       "NDAR_INV9WY3R321                                                0.0              \n",
       "NDAR_INVAP80JDC6                                                0.0              \n",
       "NDAR_INVB8G9KFMC                                                1.0              \n",
       "NDAR_INVCMGFWG2E                                                0.0              \n",
       "NDAR_INVCVZ70012                                                0.0              \n",
       "NDAR_INVEYKTM50X                                                0.0              \n",
       "NDAR_INVGC7NCM6H                                                1.0              \n",
       "NDAR_INVH7TVMCPN                                                1.0              \n",
       "NDAR_INVHF1GBEEX                                                0.0              \n",
       "NDAR_INVJXA05086                                                1.0              \n",
       "NDAR_INVK62C7NW4                                                1.0              \n",
       "NDAR_INVL1GF9KZ8                                                0.0              \n",
       "NDAR_INVN4BPDTK4                                                0.0              \n",
       "NDAR_INVPC72NTBK                                                1.0              \n",
       "NDAR_INVPDFDEURE                                                0.0              \n",
       "NDAR_INVVFCBH31R                                                0.0              \n",
       "NDAR_INVWKNKABEN                                                0.0              \n",
       "NDAR_INVWM3FXZ4K                                                0.0              \n",
       "NDAR_INVXTRHH68Z                                                1.0              \n",
       "NDAR_INVY43C1PAY                                                0.0              \n",
       "\n",
       "                                                                 ksads_10_320_t  \\\n",
       "                 Symptom - Excessive worries across breadth of domains, Present   \n",
       "subjectkey                                                                        \n",
       "NDAR_INV07RAHHYH                                                0.0               \n",
       "NDAR_INV0KPZW3NB                                                0.0               \n",
       "NDAR_INV1EECRFPM                                                0.0               \n",
       "NDAR_INV1MHAP6AR                                                0.0               \n",
       "NDAR_INV2RJ8ZRGL                                                0.0               \n",
       "NDAR_INV2YH5GYE4                                                0.0               \n",
       "NDAR_INV3W5X0ZBG                                                0.0               \n",
       "NDAR_INV402278X9                                                0.0               \n",
       "NDAR_INV4G19G9J8                                                0.0               \n",
       "NDAR_INV5784LZWF                                                0.0               \n",
       "NDAR_INV5P2UAGPW                                                0.0               \n",
       "NDAR_INV6F8VJE7N                                                0.0               \n",
       "NDAR_INV6NYCB4Y6                                                0.0               \n",
       "NDAR_INV6VZBKHPK                                                0.0               \n",
       "NDAR_INV7F1N85W0                                                0.0               \n",
       "NDAR_INV80PL5DHV                                                0.0               \n",
       "NDAR_INV9DV0865Y                                                0.0               \n",
       "NDAR_INV9HVAC68Z                                                0.0               \n",
       "NDAR_INV9WY3R321                                                0.0               \n",
       "NDAR_INVAP80JDC6                                                0.0               \n",
       "NDAR_INVB8G9KFMC                                                0.0               \n",
       "NDAR_INVCMGFWG2E                                                0.0               \n",
       "NDAR_INVCVZ70012                                                0.0               \n",
       "NDAR_INVEYKTM50X                                                0.0               \n",
       "NDAR_INVGC7NCM6H                                                0.0               \n",
       "NDAR_INVH7TVMCPN                                                0.0               \n",
       "NDAR_INVHF1GBEEX                                                0.0               \n",
       "NDAR_INVJXA05086                                                1.0               \n",
       "NDAR_INVK62C7NW4                                                0.0               \n",
       "NDAR_INVL1GF9KZ8                                                0.0               \n",
       "NDAR_INVN4BPDTK4                                                0.0               \n",
       "NDAR_INVPC72NTBK                                                0.0               \n",
       "NDAR_INVPDFDEURE                                                0.0               \n",
       "NDAR_INVVFCBH31R                                                0.0               \n",
       "NDAR_INVWKNKABEN                                                0.0               \n",
       "NDAR_INVWM3FXZ4K                                                0.0               \n",
       "NDAR_INVXTRHH68Z                                                1.0               \n",
       "NDAR_INVY43C1PAY                                                0.0               \n",
       "\n",
       "                                                             ksads_10_321_p  \\\n",
       "                 Symptom - Excessive worries across breadth of domains Past   \n",
       "subjectkey                                                                    \n",
       "NDAR_INV07RAHHYH                                                0.0           \n",
       "NDAR_INV0KPZW3NB                                                0.0           \n",
       "NDAR_INV1EECRFPM                                                0.0           \n",
       "NDAR_INV1MHAP6AR                                                1.0           \n",
       "NDAR_INV2RJ8ZRGL                                                0.0           \n",
       "NDAR_INV2YH5GYE4                                                0.0           \n",
       "NDAR_INV3W5X0ZBG                                                0.0           \n",
       "NDAR_INV402278X9                                                1.0           \n",
       "NDAR_INV4G19G9J8                                                0.0           \n",
       "NDAR_INV5784LZWF                                                0.0           \n",
       "NDAR_INV5P2UAGPW                                                0.0           \n",
       "NDAR_INV6F8VJE7N                                                0.0           \n",
       "NDAR_INV6NYCB4Y6                                                1.0           \n",
       "NDAR_INV6VZBKHPK                                                0.0           \n",
       "NDAR_INV7F1N85W0                                                1.0           \n",
       "NDAR_INV80PL5DHV                                                0.0           \n",
       "NDAR_INV9DV0865Y                                                1.0           \n",
       "NDAR_INV9HVAC68Z                                                0.0           \n",
       "NDAR_INV9WY3R321                                                0.0           \n",
       "NDAR_INVAP80JDC6                                                0.0           \n",
       "NDAR_INVB8G9KFMC                                                1.0           \n",
       "NDAR_INVCMGFWG2E                                                0.0           \n",
       "NDAR_INVCVZ70012                                                0.0           \n",
       "NDAR_INVEYKTM50X                                                0.0           \n",
       "NDAR_INVGC7NCM6H                                                1.0           \n",
       "NDAR_INVH7TVMCPN                                                1.0           \n",
       "NDAR_INVHF1GBEEX                                                0.0           \n",
       "NDAR_INVJXA05086                                                1.0           \n",
       "NDAR_INVK62C7NW4                                                1.0           \n",
       "NDAR_INVL1GF9KZ8                                                0.0           \n",
       "NDAR_INVN4BPDTK4                                                0.0           \n",
       "NDAR_INVPC72NTBK                                                0.0           \n",
       "NDAR_INVPDFDEURE                                                0.0           \n",
       "NDAR_INVVFCBH31R                                                1.0           \n",
       "NDAR_INVWKNKABEN                                                0.0           \n",
       "NDAR_INVWM3FXZ4K                                                0.0           \n",
       "NDAR_INVXTRHH68Z                                                1.0           \n",
       "NDAR_INVY43C1PAY                                                0.0           \n",
       "\n",
       "                                                              ksads_10_321_t  \\\n",
       "                 Symptom - Excessive worries across breadth of domains, Past   \n",
       "subjectkey                                                                     \n",
       "NDAR_INV07RAHHYH                                                0.0            \n",
       "NDAR_INV0KPZW3NB                                                0.0            \n",
       "NDAR_INV1EECRFPM                                                0.0            \n",
       "NDAR_INV1MHAP6AR                                                0.0            \n",
       "NDAR_INV2RJ8ZRGL                                                0.0            \n",
       "NDAR_INV2YH5GYE4                                                0.0            \n",
       "NDAR_INV3W5X0ZBG                                                0.0            \n",
       "NDAR_INV402278X9                                                1.0            \n",
       "NDAR_INV4G19G9J8                                                0.0            \n",
       "NDAR_INV5784LZWF                                                0.0            \n",
       "NDAR_INV5P2UAGPW                                                0.0            \n",
       "NDAR_INV6F8VJE7N                                                0.0            \n",
       "NDAR_INV6NYCB4Y6                                                0.0            \n",
       "NDAR_INV6VZBKHPK                                                0.0            \n",
       "NDAR_INV7F1N85W0                                                0.0            \n",
       "NDAR_INV80PL5DHV                                                0.0            \n",
       "NDAR_INV9DV0865Y                                                0.0            \n",
       "NDAR_INV9HVAC68Z                                                0.0            \n",
       "NDAR_INV9WY3R321                                                0.0            \n",
       "NDAR_INVAP80JDC6                                                0.0            \n",
       "NDAR_INVB8G9KFMC                                                0.0            \n",
       "NDAR_INVCMGFWG2E                                                1.0            \n",
       "NDAR_INVCVZ70012                                                0.0            \n",
       "NDAR_INVEYKTM50X                                                0.0            \n",
       "NDAR_INVGC7NCM6H                                                0.0            \n",
       "NDAR_INVH7TVMCPN                                                0.0            \n",
       "NDAR_INVHF1GBEEX                                                1.0            \n",
       "NDAR_INVJXA05086                                                0.0            \n",
       "NDAR_INVK62C7NW4                                                0.0            \n",
       "NDAR_INVL1GF9KZ8                                                0.0            \n",
       "NDAR_INVN4BPDTK4                                                0.0            \n",
       "NDAR_INVPC72NTBK                                                0.0            \n",
       "NDAR_INVPDFDEURE                                                0.0            \n",
       "NDAR_INVVFCBH31R                                                0.0            \n",
       "NDAR_INVWKNKABEN                                                0.0            \n",
       "NDAR_INVWM3FXZ4K                                                0.0            \n",
       "NDAR_INVXTRHH68Z                                                1.0            \n",
       "NDAR_INVY43C1PAY                                                0.0            \n",
       "\n",
       "                                                             ksads_10_322_p  \\\n",
       "                 Symptom - Worry associated with defined symptom(s) Present   \n",
       "subjectkey                                                                    \n",
       "NDAR_INV07RAHHYH                                                0.0           \n",
       "NDAR_INV0KPZW3NB                                                0.0           \n",
       "NDAR_INV1EECRFPM                                                0.0           \n",
       "NDAR_INV1MHAP6AR                                                1.0           \n",
       "NDAR_INV2RJ8ZRGL                                                0.0           \n",
       "NDAR_INV2YH5GYE4                                                0.0           \n",
       "NDAR_INV3W5X0ZBG                                                0.0           \n",
       "NDAR_INV402278X9                                                1.0           \n",
       "NDAR_INV4G19G9J8                                                0.0           \n",
       "NDAR_INV5784LZWF                                                0.0           \n",
       "NDAR_INV5P2UAGPW                                                0.0           \n",
       "NDAR_INV6F8VJE7N                                                0.0           \n",
       "NDAR_INV6NYCB4Y6                                                1.0           \n",
       "NDAR_INV6VZBKHPK                                                0.0           \n",
       "NDAR_INV7F1N85W0                                                1.0           \n",
       "NDAR_INV80PL5DHV                                                0.0           \n",
       "NDAR_INV9DV0865Y                                                1.0           \n",
       "NDAR_INV9HVAC68Z                                                0.0           \n",
       "NDAR_INV9WY3R321                                                0.0           \n",
       "NDAR_INVAP80JDC6                                                0.0           \n",
       "NDAR_INVB8G9KFMC                                                1.0           \n",
       "NDAR_INVCMGFWG2E                                                0.0           \n",
       "NDAR_INVCVZ70012                                                0.0           \n",
       "NDAR_INVEYKTM50X                                                0.0           \n",
       "NDAR_INVGC7NCM6H                                                1.0           \n",
       "NDAR_INVH7TVMCPN                                                0.0           \n",
       "NDAR_INVHF1GBEEX                                                0.0           \n",
       "NDAR_INVJXA05086                                                1.0           \n",
       "NDAR_INVK62C7NW4                                                1.0           \n",
       "NDAR_INVL1GF9KZ8                                                0.0           \n",
       "NDAR_INVN4BPDTK4                                                0.0           \n",
       "NDAR_INVPC72NTBK                                                1.0           \n",
       "NDAR_INVPDFDEURE                                                0.0           \n",
       "NDAR_INVVFCBH31R                                                0.0           \n",
       "NDAR_INVWKNKABEN                                                0.0           \n",
       "NDAR_INVWM3FXZ4K                                                0.0           \n",
       "NDAR_INVXTRHH68Z                                                1.0           \n",
       "NDAR_INVY43C1PAY                                                0.0           \n",
       "\n",
       "                                                              ksads_10_322_t  \\\n",
       "                 Symptom - Worry associated with defined symptom(s), Present   \n",
       "subjectkey                                                                     \n",
       "NDAR_INV07RAHHYH                                                0.0            \n",
       "NDAR_INV0KPZW3NB                                                0.0            \n",
       "NDAR_INV1EECRFPM                                                0.0            \n",
       "NDAR_INV1MHAP6AR                                                0.0            \n",
       "NDAR_INV2RJ8ZRGL                                                0.0            \n",
       "NDAR_INV2YH5GYE4                                                0.0            \n",
       "NDAR_INV3W5X0ZBG                                                0.0            \n",
       "NDAR_INV402278X9                                                0.0            \n",
       "NDAR_INV4G19G9J8                                                0.0            \n",
       "NDAR_INV5784LZWF                                                0.0            \n",
       "NDAR_INV5P2UAGPW                                                0.0            \n",
       "NDAR_INV6F8VJE7N                                                0.0            \n",
       "NDAR_INV6NYCB4Y6                                                0.0            \n",
       "NDAR_INV6VZBKHPK                                                0.0            \n",
       "NDAR_INV7F1N85W0                                                0.0            \n",
       "NDAR_INV80PL5DHV                                                0.0            \n",
       "NDAR_INV9DV0865Y                                                0.0            \n",
       "NDAR_INV9HVAC68Z                                                0.0            \n",
       "NDAR_INV9WY3R321                                                0.0            \n",
       "NDAR_INVAP80JDC6                                                0.0            \n",
       "NDAR_INVB8G9KFMC                                                0.0            \n",
       "NDAR_INVCMGFWG2E                                                0.0            \n",
       "NDAR_INVCVZ70012                                                0.0            \n",
       "NDAR_INVEYKTM50X                                                0.0            \n",
       "NDAR_INVGC7NCM6H                                                0.0            \n",
       "NDAR_INVH7TVMCPN                                                0.0            \n",
       "NDAR_INVHF1GBEEX                                                0.0            \n",
       "NDAR_INVJXA05086                                                1.0            \n",
       "NDAR_INVK62C7NW4                                                0.0            \n",
       "NDAR_INVL1GF9KZ8                                                0.0            \n",
       "NDAR_INVN4BPDTK4                                                0.0            \n",
       "NDAR_INVPC72NTBK                                                0.0            \n",
       "NDAR_INVPDFDEURE                                                0.0            \n",
       "NDAR_INVVFCBH31R                                                0.0            \n",
       "NDAR_INVWKNKABEN                                                0.0            \n",
       "NDAR_INVWM3FXZ4K                                                0.0            \n",
       "NDAR_INVXTRHH68Z                                                1.0            \n",
       "NDAR_INVY43C1PAY                                                0.0            \n",
       "\n",
       "                                                          ksads_10_323_p  \\\n",
       "                 Symptom - Worry associated with defined symptom(s) Past   \n",
       "subjectkey                                                                 \n",
       "NDAR_INV07RAHHYH                                                0.0        \n",
       "NDAR_INV0KPZW3NB                                                0.0        \n",
       "NDAR_INV1EECRFPM                                                0.0        \n",
       "NDAR_INV1MHAP6AR                                                1.0        \n",
       "NDAR_INV2RJ8ZRGL                                                0.0        \n",
       "NDAR_INV2YH5GYE4                                                0.0        \n",
       "NDAR_INV3W5X0ZBG                                                0.0        \n",
       "NDAR_INV402278X9                                                1.0        \n",
       "NDAR_INV4G19G9J8                                                0.0        \n",
       "NDAR_INV5784LZWF                                                0.0        \n",
       "NDAR_INV5P2UAGPW                                                0.0        \n",
       "NDAR_INV6F8VJE7N                                                0.0        \n",
       "NDAR_INV6NYCB4Y6                                                1.0        \n",
       "NDAR_INV6VZBKHPK                                                0.0        \n",
       "NDAR_INV7F1N85W0                                                1.0        \n",
       "NDAR_INV80PL5DHV                                                0.0        \n",
       "NDAR_INV9DV0865Y                                                1.0        \n",
       "NDAR_INV9HVAC68Z                                                0.0        \n",
       "NDAR_INV9WY3R321                                                0.0        \n",
       "NDAR_INVAP80JDC6                                                0.0        \n",
       "NDAR_INVB8G9KFMC                                                1.0        \n",
       "NDAR_INVCMGFWG2E                                                0.0        \n",
       "NDAR_INVCVZ70012                                                0.0        \n",
       "NDAR_INVEYKTM50X                                                0.0        \n",
       "NDAR_INVGC7NCM6H                                                1.0        \n",
       "NDAR_INVH7TVMCPN                                                1.0        \n",
       "NDAR_INVHF1GBEEX                                                0.0        \n",
       "NDAR_INVJXA05086                                                1.0        \n",
       "NDAR_INVK62C7NW4                                                1.0        \n",
       "NDAR_INVL1GF9KZ8                                                0.0        \n",
       "NDAR_INVN4BPDTK4                                                0.0        \n",
       "NDAR_INVPC72NTBK                                                1.0        \n",
       "NDAR_INVPDFDEURE                                                0.0        \n",
       "NDAR_INVVFCBH31R                                                1.0        \n",
       "NDAR_INVWKNKABEN                                                0.0        \n",
       "NDAR_INVWM3FXZ4K                                                0.0        \n",
       "NDAR_INVXTRHH68Z                                                1.0        \n",
       "NDAR_INVY43C1PAY                                                0.0        \n",
       "\n",
       "                                                           ksads_10_323_t  \\\n",
       "                 Symptom - Worry associated with defined symptom(s), Past   \n",
       "subjectkey                                                                  \n",
       "NDAR_INV07RAHHYH                                                0.0         \n",
       "NDAR_INV0KPZW3NB                                                0.0         \n",
       "NDAR_INV1EECRFPM                                                0.0         \n",
       "NDAR_INV1MHAP6AR                                                1.0         \n",
       "NDAR_INV2RJ8ZRGL                                                0.0         \n",
       "NDAR_INV2YH5GYE4                                                0.0         \n",
       "NDAR_INV3W5X0ZBG                                                0.0         \n",
       "NDAR_INV402278X9                                                1.0         \n",
       "NDAR_INV4G19G9J8                                                0.0         \n",
       "NDAR_INV5784LZWF                                                0.0         \n",
       "NDAR_INV5P2UAGPW                                                0.0         \n",
       "NDAR_INV6F8VJE7N                                                0.0         \n",
       "NDAR_INV6NYCB4Y6                                                0.0         \n",
       "NDAR_INV6VZBKHPK                                                0.0         \n",
       "NDAR_INV7F1N85W0                                                0.0         \n",
       "NDAR_INV80PL5DHV                                                0.0         \n",
       "NDAR_INV9DV0865Y                                                0.0         \n",
       "NDAR_INV9HVAC68Z                                                0.0         \n",
       "NDAR_INV9WY3R321                                                0.0         \n",
       "NDAR_INVAP80JDC6                                                0.0         \n",
       "NDAR_INVB8G9KFMC                                                0.0         \n",
       "NDAR_INVCMGFWG2E                                                1.0         \n",
       "NDAR_INVCVZ70012                                                0.0         \n",
       "NDAR_INVEYKTM50X                                                0.0         \n",
       "NDAR_INVGC7NCM6H                                                0.0         \n",
       "NDAR_INVH7TVMCPN                                                0.0         \n",
       "NDAR_INVHF1GBEEX                                                1.0         \n",
       "NDAR_INVJXA05086                                                0.0         \n",
       "NDAR_INVK62C7NW4                                                0.0         \n",
       "NDAR_INVL1GF9KZ8                                                0.0         \n",
       "NDAR_INVN4BPDTK4                                                0.0         \n",
       "NDAR_INVPC72NTBK                                                0.0         \n",
       "NDAR_INVPDFDEURE                                                0.0         \n",
       "NDAR_INVVFCBH31R                                                0.0         \n",
       "NDAR_INVWKNKABEN                                                0.0         \n",
       "NDAR_INVWM3FXZ4K                                                0.0         \n",
       "NDAR_INVXTRHH68Z                                                1.0         \n",
       "NDAR_INVY43C1PAY                                                0.0         \n",
       "\n",
       "                                                   ksads_10_324_p  \\\n",
       "                 Symptom - Difficulty controlling worries Present   \n",
       "subjectkey                                                          \n",
       "NDAR_INV07RAHHYH                                              0.0   \n",
       "NDAR_INV0KPZW3NB                                              0.0   \n",
       "NDAR_INV1EECRFPM                                              0.0   \n",
       "NDAR_INV1MHAP6AR                                              1.0   \n",
       "NDAR_INV2RJ8ZRGL                                              0.0   \n",
       "NDAR_INV2YH5GYE4                                              0.0   \n",
       "NDAR_INV3W5X0ZBG                                              0.0   \n",
       "NDAR_INV402278X9                                              1.0   \n",
       "NDAR_INV4G19G9J8                                              0.0   \n",
       "NDAR_INV5784LZWF                                              0.0   \n",
       "NDAR_INV5P2UAGPW                                              0.0   \n",
       "NDAR_INV6F8VJE7N                                              0.0   \n",
       "NDAR_INV6NYCB4Y6                                              1.0   \n",
       "NDAR_INV6VZBKHPK                                              0.0   \n",
       "NDAR_INV7F1N85W0                                              1.0   \n",
       "NDAR_INV80PL5DHV                                              0.0   \n",
       "NDAR_INV9DV0865Y                                              1.0   \n",
       "NDAR_INV9HVAC68Z                                              0.0   \n",
       "NDAR_INV9WY3R321                                              0.0   \n",
       "NDAR_INVAP80JDC6                                              0.0   \n",
       "NDAR_INVB8G9KFMC                                              1.0   \n",
       "NDAR_INVCMGFWG2E                                              0.0   \n",
       "NDAR_INVCVZ70012                                              0.0   \n",
       "NDAR_INVEYKTM50X                                              0.0   \n",
       "NDAR_INVGC7NCM6H                                              1.0   \n",
       "NDAR_INVH7TVMCPN                                              1.0   \n",
       "NDAR_INVHF1GBEEX                                              0.0   \n",
       "NDAR_INVJXA05086                                              1.0   \n",
       "NDAR_INVK62C7NW4                                              0.0   \n",
       "NDAR_INVL1GF9KZ8                                              0.0   \n",
       "NDAR_INVN4BPDTK4                                              0.0   \n",
       "NDAR_INVPC72NTBK                                              1.0   \n",
       "NDAR_INVPDFDEURE                                              0.0   \n",
       "NDAR_INVVFCBH31R                                              0.0   \n",
       "NDAR_INVWKNKABEN                                              0.0   \n",
       "NDAR_INVWM3FXZ4K                                              0.0   \n",
       "NDAR_INVXTRHH68Z                                              1.0   \n",
       "NDAR_INVY43C1PAY                                              0.0   \n",
       "\n",
       "                                                    ksads_10_324_t  ...  \\\n",
       "                 Symptom - Difficulty controlling worries, Present  ...   \n",
       "subjectkey                                                          ...   \n",
       "NDAR_INV07RAHHYH                                               0.0  ...   \n",
       "NDAR_INV0KPZW3NB                                               0.0  ...   \n",
       "NDAR_INV1EECRFPM                                               0.0  ...   \n",
       "NDAR_INV1MHAP6AR                                               0.0  ...   \n",
       "NDAR_INV2RJ8ZRGL                                               0.0  ...   \n",
       "NDAR_INV2YH5GYE4                                               0.0  ...   \n",
       "NDAR_INV3W5X0ZBG                                               0.0  ...   \n",
       "NDAR_INV402278X9                                               0.0  ...   \n",
       "NDAR_INV4G19G9J8                                               0.0  ...   \n",
       "NDAR_INV5784LZWF                                               0.0  ...   \n",
       "NDAR_INV5P2UAGPW                                               0.0  ...   \n",
       "NDAR_INV6F8VJE7N                                               0.0  ...   \n",
       "NDAR_INV6NYCB4Y6                                               0.0  ...   \n",
       "NDAR_INV6VZBKHPK                                               0.0  ...   \n",
       "NDAR_INV7F1N85W0                                               0.0  ...   \n",
       "NDAR_INV80PL5DHV                                               0.0  ...   \n",
       "NDAR_INV9DV0865Y                                               0.0  ...   \n",
       "NDAR_INV9HVAC68Z                                               0.0  ...   \n",
       "NDAR_INV9WY3R321                                               0.0  ...   \n",
       "NDAR_INVAP80JDC6                                               0.0  ...   \n",
       "NDAR_INVB8G9KFMC                                               0.0  ...   \n",
       "NDAR_INVCMGFWG2E                                               0.0  ...   \n",
       "NDAR_INVCVZ70012                                               0.0  ...   \n",
       "NDAR_INVEYKTM50X                                               0.0  ...   \n",
       "NDAR_INVGC7NCM6H                                               0.0  ...   \n",
       "NDAR_INVH7TVMCPN                                               0.0  ...   \n",
       "NDAR_INVHF1GBEEX                                               0.0  ...   \n",
       "NDAR_INVJXA05086                                               1.0  ...   \n",
       "NDAR_INVK62C7NW4                                               0.0  ...   \n",
       "NDAR_INVL1GF9KZ8                                               0.0  ...   \n",
       "NDAR_INVN4BPDTK4                                               0.0  ...   \n",
       "NDAR_INVPC72NTBK                                               0.0  ...   \n",
       "NDAR_INVPDFDEURE                                               0.0  ...   \n",
       "NDAR_INVVFCBH31R                                               0.0  ...   \n",
       "NDAR_INVWKNKABEN                                               0.0  ...   \n",
       "NDAR_INVWM3FXZ4K                                               0.0  ...   \n",
       "NDAR_INVXTRHH68Z                                               0.0  ...   \n",
       "NDAR_INVY43C1PAY                                               0.0  ...   \n",
       "\n",
       "                                                                        ksads_9_40_p  \\\n",
       "                 Symptom - Impairment due to fear or avoidance of phobic object Past   \n",
       "subjectkey                                                                             \n",
       "NDAR_INV07RAHHYH                                                0.0                    \n",
       "NDAR_INV0KPZW3NB                                                1.0                    \n",
       "NDAR_INV1EECRFPM                                                0.0                    \n",
       "NDAR_INV1MHAP6AR                                                0.0                    \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                    \n",
       "NDAR_INV2YH5GYE4                                                0.0                    \n",
       "NDAR_INV3W5X0ZBG                                                0.0                    \n",
       "NDAR_INV402278X9                                                0.0                    \n",
       "NDAR_INV4G19G9J8                                                0.0                    \n",
       "NDAR_INV5784LZWF                                                0.0                    \n",
       "NDAR_INV5P2UAGPW                                                0.0                    \n",
       "NDAR_INV6F8VJE7N                                                0.0                    \n",
       "NDAR_INV6NYCB4Y6                                                0.0                    \n",
       "NDAR_INV6VZBKHPK                                                0.0                    \n",
       "NDAR_INV7F1N85W0                                                1.0                    \n",
       "NDAR_INV80PL5DHV                                                0.0                    \n",
       "NDAR_INV9DV0865Y                                                0.0                    \n",
       "NDAR_INV9HVAC68Z                                                0.0                    \n",
       "NDAR_INV9WY3R321                                                0.0                    \n",
       "NDAR_INVAP80JDC6                                                0.0                    \n",
       "NDAR_INVB8G9KFMC                                                0.0                    \n",
       "NDAR_INVCMGFWG2E                                                1.0                    \n",
       "NDAR_INVCVZ70012                                                0.0                    \n",
       "NDAR_INVEYKTM50X                                                0.0                    \n",
       "NDAR_INVGC7NCM6H                                                0.0                    \n",
       "NDAR_INVH7TVMCPN                                                1.0                    \n",
       "NDAR_INVHF1GBEEX                                                0.0                    \n",
       "NDAR_INVJXA05086                                                0.0                    \n",
       "NDAR_INVK62C7NW4                                                1.0                    \n",
       "NDAR_INVL1GF9KZ8                                                0.0                    \n",
       "NDAR_INVN4BPDTK4                                                0.0                    \n",
       "NDAR_INVPC72NTBK                                                1.0                    \n",
       "NDAR_INVPDFDEURE                                                0.0                    \n",
       "NDAR_INVVFCBH31R                                                0.0                    \n",
       "NDAR_INVWKNKABEN                                                0.0                    \n",
       "NDAR_INVWM3FXZ4K                                                0.0                    \n",
       "NDAR_INVXTRHH68Z                                                0.0                    \n",
       "NDAR_INVY43C1PAY                                                0.0                    \n",
       "\n",
       "                                                                        ksads_9_40_t  \\\n",
       "                 Symptom - Impairment due to fear or avoidance of phobic object Past   \n",
       "subjectkey                                                                             \n",
       "NDAR_INV07RAHHYH                                                0.0                    \n",
       "NDAR_INV0KPZW3NB                                                0.0                    \n",
       "NDAR_INV1EECRFPM                                                0.0                    \n",
       "NDAR_INV1MHAP6AR                                                0.0                    \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                    \n",
       "NDAR_INV2YH5GYE4                                                0.0                    \n",
       "NDAR_INV3W5X0ZBG                                                0.0                    \n",
       "NDAR_INV402278X9                                                0.0                    \n",
       "NDAR_INV4G19G9J8                                                0.0                    \n",
       "NDAR_INV5784LZWF                                                0.0                    \n",
       "NDAR_INV5P2UAGPW                                                0.0                    \n",
       "NDAR_INV6F8VJE7N                                                0.0                    \n",
       "NDAR_INV6NYCB4Y6                                                0.0                    \n",
       "NDAR_INV6VZBKHPK                                                0.0                    \n",
       "NDAR_INV7F1N85W0                                                0.0                    \n",
       "NDAR_INV80PL5DHV                                                0.0                    \n",
       "NDAR_INV9DV0865Y                                                0.0                    \n",
       "NDAR_INV9HVAC68Z                                                0.0                    \n",
       "NDAR_INV9WY3R321                                                0.0                    \n",
       "NDAR_INVAP80JDC6                                                0.0                    \n",
       "NDAR_INVB8G9KFMC                                                0.0                    \n",
       "NDAR_INVCMGFWG2E                                                0.0                    \n",
       "NDAR_INVCVZ70012                                                0.0                    \n",
       "NDAR_INVEYKTM50X                                                0.0                    \n",
       "NDAR_INVGC7NCM6H                                                0.0                    \n",
       "NDAR_INVH7TVMCPN                                                0.0                    \n",
       "NDAR_INVHF1GBEEX                                                0.0                    \n",
       "NDAR_INVJXA05086                                                0.0                    \n",
       "NDAR_INVK62C7NW4                                                0.0                    \n",
       "NDAR_INVL1GF9KZ8                                                0.0                    \n",
       "NDAR_INVN4BPDTK4                                                0.0                    \n",
       "NDAR_INVPC72NTBK                                                0.0                    \n",
       "NDAR_INVPDFDEURE                                                0.0                    \n",
       "NDAR_INVVFCBH31R                                                0.0                    \n",
       "NDAR_INVWKNKABEN                                                0.0                    \n",
       "NDAR_INVWM3FXZ4K                                                0.0                    \n",
       "NDAR_INVXTRHH68Z                                                0.0                    \n",
       "NDAR_INVY43C1PAY                                                0.0                    \n",
       "\n",
       "                                                                         ksads_9_41_p  \\\n",
       "                 Symptom - Distress due to fear or avoidance of phobic object Present   \n",
       "subjectkey                                                                              \n",
       "NDAR_INV07RAHHYH                                                0.0                     \n",
       "NDAR_INV0KPZW3NB                                                0.0                     \n",
       "NDAR_INV1EECRFPM                                                0.0                     \n",
       "NDAR_INV1MHAP6AR                                                0.0                     \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                     \n",
       "NDAR_INV2YH5GYE4                                                0.0                     \n",
       "NDAR_INV3W5X0ZBG                                                0.0                     \n",
       "NDAR_INV402278X9                                                1.0                     \n",
       "NDAR_INV4G19G9J8                                                0.0                     \n",
       "NDAR_INV5784LZWF                                                0.0                     \n",
       "NDAR_INV5P2UAGPW                                                0.0                     \n",
       "NDAR_INV6F8VJE7N                                                0.0                     \n",
       "NDAR_INV6NYCB4Y6                                                1.0                     \n",
       "NDAR_INV6VZBKHPK                                                0.0                     \n",
       "NDAR_INV7F1N85W0                                                1.0                     \n",
       "NDAR_INV80PL5DHV                                                0.0                     \n",
       "NDAR_INV9DV0865Y                                                1.0                     \n",
       "NDAR_INV9HVAC68Z                                                0.0                     \n",
       "NDAR_INV9WY3R321                                                0.0                     \n",
       "NDAR_INVAP80JDC6                                                0.0                     \n",
       "NDAR_INVB8G9KFMC                                                0.0                     \n",
       "NDAR_INVCMGFWG2E                                                0.0                     \n",
       "NDAR_INVCVZ70012                                                0.0                     \n",
       "NDAR_INVEYKTM50X                                                0.0                     \n",
       "NDAR_INVGC7NCM6H                                                1.0                     \n",
       "NDAR_INVH7TVMCPN                                                0.0                     \n",
       "NDAR_INVHF1GBEEX                                                0.0                     \n",
       "NDAR_INVJXA05086                                                0.0                     \n",
       "NDAR_INVK62C7NW4                                                0.0                     \n",
       "NDAR_INVL1GF9KZ8                                                0.0                     \n",
       "NDAR_INVN4BPDTK4                                                0.0                     \n",
       "NDAR_INVPC72NTBK                                                1.0                     \n",
       "NDAR_INVPDFDEURE                                                0.0                     \n",
       "NDAR_INVVFCBH31R                                                0.0                     \n",
       "NDAR_INVWKNKABEN                                                0.0                     \n",
       "NDAR_INVWM3FXZ4K                                                0.0                     \n",
       "NDAR_INVXTRHH68Z                                                0.0                     \n",
       "NDAR_INVY43C1PAY                                                0.0                     \n",
       "\n",
       "                                                                         ksads_9_41_t  \\\n",
       "                 Symptom - Distress due to fear or avoidance of phobic object Present   \n",
       "subjectkey                                                                              \n",
       "NDAR_INV07RAHHYH                                                0.0                     \n",
       "NDAR_INV0KPZW3NB                                                0.0                     \n",
       "NDAR_INV1EECRFPM                                                0.0                     \n",
       "NDAR_INV1MHAP6AR                                                0.0                     \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                     \n",
       "NDAR_INV2YH5GYE4                                                0.0                     \n",
       "NDAR_INV3W5X0ZBG                                                0.0                     \n",
       "NDAR_INV402278X9                                                0.0                     \n",
       "NDAR_INV4G19G9J8                                                0.0                     \n",
       "NDAR_INV5784LZWF                                                0.0                     \n",
       "NDAR_INV5P2UAGPW                                                0.0                     \n",
       "NDAR_INV6F8VJE7N                                                0.0                     \n",
       "NDAR_INV6NYCB4Y6                                                0.0                     \n",
       "NDAR_INV6VZBKHPK                                                0.0                     \n",
       "NDAR_INV7F1N85W0                                                0.0                     \n",
       "NDAR_INV80PL5DHV                                                0.0                     \n",
       "NDAR_INV9DV0865Y                                                0.0                     \n",
       "NDAR_INV9HVAC68Z                                                0.0                     \n",
       "NDAR_INV9WY3R321                                                0.0                     \n",
       "NDAR_INVAP80JDC6                                                0.0                     \n",
       "NDAR_INVB8G9KFMC                                                0.0                     \n",
       "NDAR_INVCMGFWG2E                                                0.0                     \n",
       "NDAR_INVCVZ70012                                                0.0                     \n",
       "NDAR_INVEYKTM50X                                                0.0                     \n",
       "NDAR_INVGC7NCM6H                                                0.0                     \n",
       "NDAR_INVH7TVMCPN                                                0.0                     \n",
       "NDAR_INVHF1GBEEX                                                0.0                     \n",
       "NDAR_INVJXA05086                                                0.0                     \n",
       "NDAR_INVK62C7NW4                                                0.0                     \n",
       "NDAR_INVL1GF9KZ8                                                0.0                     \n",
       "NDAR_INVN4BPDTK4                                                0.0                     \n",
       "NDAR_INVPC72NTBK                                                0.0                     \n",
       "NDAR_INVPDFDEURE                                                0.0                     \n",
       "NDAR_INVVFCBH31R                                                0.0                     \n",
       "NDAR_INVWKNKABEN                                                0.0                     \n",
       "NDAR_INVWM3FXZ4K                                                0.0                     \n",
       "NDAR_INVXTRHH68Z                                                0.0                     \n",
       "NDAR_INVY43C1PAY                                                0.0                     \n",
       "\n",
       "                                                                      ksads_9_42_p  \\\n",
       "                 Symptom - Distress due to fear or avoidance of phobic object Past   \n",
       "subjectkey                                                                           \n",
       "NDAR_INV07RAHHYH                                                0.0                  \n",
       "NDAR_INV0KPZW3NB                                                1.0                  \n",
       "NDAR_INV1EECRFPM                                                1.0                  \n",
       "NDAR_INV1MHAP6AR                                                1.0                  \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                  \n",
       "NDAR_INV2YH5GYE4                                                0.0                  \n",
       "NDAR_INV3W5X0ZBG                                                0.0                  \n",
       "NDAR_INV402278X9                                                1.0                  \n",
       "NDAR_INV4G19G9J8                                                0.0                  \n",
       "NDAR_INV5784LZWF                                                0.0                  \n",
       "NDAR_INV5P2UAGPW                                                0.0                  \n",
       "NDAR_INV6F8VJE7N                                                0.0                  \n",
       "NDAR_INV6NYCB4Y6                                                0.0                  \n",
       "NDAR_INV6VZBKHPK                                                0.0                  \n",
       "NDAR_INV7F1N85W0                                                1.0                  \n",
       "NDAR_INV80PL5DHV                                                0.0                  \n",
       "NDAR_INV9DV0865Y                                                0.0                  \n",
       "NDAR_INV9HVAC68Z                                                0.0                  \n",
       "NDAR_INV9WY3R321                                                0.0                  \n",
       "NDAR_INVAP80JDC6                                                0.0                  \n",
       "NDAR_INVB8G9KFMC                                                0.0                  \n",
       "NDAR_INVCMGFWG2E                                                1.0                  \n",
       "NDAR_INVCVZ70012                                                1.0                  \n",
       "NDAR_INVEYKTM50X                                                0.0                  \n",
       "NDAR_INVGC7NCM6H                                                1.0                  \n",
       "NDAR_INVH7TVMCPN                                                1.0                  \n",
       "NDAR_INVHF1GBEEX                                                1.0                  \n",
       "NDAR_INVJXA05086                                                1.0                  \n",
       "NDAR_INVK62C7NW4                                                1.0                  \n",
       "NDAR_INVL1GF9KZ8                                                0.0                  \n",
       "NDAR_INVN4BPDTK4                                                0.0                  \n",
       "NDAR_INVPC72NTBK                                                1.0                  \n",
       "NDAR_INVPDFDEURE                                                0.0                  \n",
       "NDAR_INVVFCBH31R                                                0.0                  \n",
       "NDAR_INVWKNKABEN                                                1.0                  \n",
       "NDAR_INVWM3FXZ4K                                                1.0                  \n",
       "NDAR_INVXTRHH68Z                                                0.0                  \n",
       "NDAR_INVY43C1PAY                                                0.0                  \n",
       "\n",
       "                                                                      ksads_9_42_t  \\\n",
       "                 Symptom - Distress due to fear or avoidance of phobic object Past   \n",
       "subjectkey                                                                           \n",
       "NDAR_INV07RAHHYH                                                0.0                  \n",
       "NDAR_INV0KPZW3NB                                                0.0                  \n",
       "NDAR_INV1EECRFPM                                                0.0                  \n",
       "NDAR_INV1MHAP6AR                                                0.0                  \n",
       "NDAR_INV2RJ8ZRGL                                                0.0                  \n",
       "NDAR_INV2YH5GYE4                                                0.0                  \n",
       "NDAR_INV3W5X0ZBG                                                0.0                  \n",
       "NDAR_INV402278X9                                                0.0                  \n",
       "NDAR_INV4G19G9J8                                                0.0                  \n",
       "NDAR_INV5784LZWF                                                0.0                  \n",
       "NDAR_INV5P2UAGPW                                                0.0                  \n",
       "NDAR_INV6F8VJE7N                                                0.0                  \n",
       "NDAR_INV6NYCB4Y6                                                0.0                  \n",
       "NDAR_INV6VZBKHPK                                                0.0                  \n",
       "NDAR_INV7F1N85W0                                                0.0                  \n",
       "NDAR_INV80PL5DHV                                                0.0                  \n",
       "NDAR_INV9DV0865Y                                                0.0                  \n",
       "NDAR_INV9HVAC68Z                                                0.0                  \n",
       "NDAR_INV9WY3R321                                                0.0                  \n",
       "NDAR_INVAP80JDC6                                                0.0                  \n",
       "NDAR_INVB8G9KFMC                                                0.0                  \n",
       "NDAR_INVCMGFWG2E                                                0.0                  \n",
       "NDAR_INVCVZ70012                                                0.0                  \n",
       "NDAR_INVEYKTM50X                                                0.0                  \n",
       "NDAR_INVGC7NCM6H                                                0.0                  \n",
       "NDAR_INVH7TVMCPN                                                0.0                  \n",
       "NDAR_INVHF1GBEEX                                                0.0                  \n",
       "NDAR_INVJXA05086                                                0.0                  \n",
       "NDAR_INVK62C7NW4                                                0.0                  \n",
       "NDAR_INVL1GF9KZ8                                                0.0                  \n",
       "NDAR_INVN4BPDTK4                                                0.0                  \n",
       "NDAR_INVPC72NTBK                                                0.0                  \n",
       "NDAR_INVPDFDEURE                                                0.0                  \n",
       "NDAR_INVVFCBH31R                                                0.0                  \n",
       "NDAR_INVWKNKABEN                                                0.0                  \n",
       "NDAR_INVWM3FXZ4K                                                0.0                  \n",
       "NDAR_INVXTRHH68Z                                                0.0                  \n",
       "NDAR_INVY43C1PAY                                                0.0                  \n",
       "\n",
       "                                                           ksads_9_43_p  \\\n",
       "                 Symptom - Duration of phobia at least 6 months Present   \n",
       "subjectkey                                                                \n",
       "NDAR_INV07RAHHYH                                                0.0       \n",
       "NDAR_INV0KPZW3NB                                                0.0       \n",
       "NDAR_INV1EECRFPM                                                0.0       \n",
       "NDAR_INV1MHAP6AR                                                0.0       \n",
       "NDAR_INV2RJ8ZRGL                                                0.0       \n",
       "NDAR_INV2YH5GYE4                                                0.0       \n",
       "NDAR_INV3W5X0ZBG                                                0.0       \n",
       "NDAR_INV402278X9                                                1.0       \n",
       "NDAR_INV4G19G9J8                                                0.0       \n",
       "NDAR_INV5784LZWF                                                0.0       \n",
       "NDAR_INV5P2UAGPW                                                0.0       \n",
       "NDAR_INV6F8VJE7N                                                0.0       \n",
       "NDAR_INV6NYCB4Y6                                                1.0       \n",
       "NDAR_INV6VZBKHPK                                                0.0       \n",
       "NDAR_INV7F1N85W0                                                1.0       \n",
       "NDAR_INV80PL5DHV                                                0.0       \n",
       "NDAR_INV9DV0865Y                                                1.0       \n",
       "NDAR_INV9HVAC68Z                                                0.0       \n",
       "NDAR_INV9WY3R321                                                0.0       \n",
       "NDAR_INVAP80JDC6                                                0.0       \n",
       "NDAR_INVB8G9KFMC                                                0.0       \n",
       "NDAR_INVCMGFWG2E                                                0.0       \n",
       "NDAR_INVCVZ70012                                                0.0       \n",
       "NDAR_INVEYKTM50X                                                0.0       \n",
       "NDAR_INVGC7NCM6H                                                1.0       \n",
       "NDAR_INVH7TVMCPN                                                0.0       \n",
       "NDAR_INVHF1GBEEX                                                0.0       \n",
       "NDAR_INVJXA05086                                                0.0       \n",
       "NDAR_INVK62C7NW4                                                0.0       \n",
       "NDAR_INVL1GF9KZ8                                                0.0       \n",
       "NDAR_INVN4BPDTK4                                                0.0       \n",
       "NDAR_INVPC72NTBK                                                1.0       \n",
       "NDAR_INVPDFDEURE                                                0.0       \n",
       "NDAR_INVVFCBH31R                                                0.0       \n",
       "NDAR_INVWKNKABEN                                                0.0       \n",
       "NDAR_INVWM3FXZ4K                                                0.0       \n",
       "NDAR_INVXTRHH68Z                                                0.0       \n",
       "NDAR_INVY43C1PAY                                                0.0       \n",
       "\n",
       "                                                           ksads_9_43_t  \\\n",
       "                 Symptom - Duration of phobia at least 6 months Present   \n",
       "subjectkey                                                                \n",
       "NDAR_INV07RAHHYH                                                0.0       \n",
       "NDAR_INV0KPZW3NB                                                0.0       \n",
       "NDAR_INV1EECRFPM                                                0.0       \n",
       "NDAR_INV1MHAP6AR                                                0.0       \n",
       "NDAR_INV2RJ8ZRGL                                                0.0       \n",
       "NDAR_INV2YH5GYE4                                                0.0       \n",
       "NDAR_INV3W5X0ZBG                                                0.0       \n",
       "NDAR_INV402278X9                                                0.0       \n",
       "NDAR_INV4G19G9J8                                                0.0       \n",
       "NDAR_INV5784LZWF                                                0.0       \n",
       "NDAR_INV5P2UAGPW                                                0.0       \n",
       "NDAR_INV6F8VJE7N                                                0.0       \n",
       "NDAR_INV6NYCB4Y6                                                0.0       \n",
       "NDAR_INV6VZBKHPK                                                0.0       \n",
       "NDAR_INV7F1N85W0                                                0.0       \n",
       "NDAR_INV80PL5DHV                                                0.0       \n",
       "NDAR_INV9DV0865Y                                                0.0       \n",
       "NDAR_INV9HVAC68Z                                                0.0       \n",
       "NDAR_INV9WY3R321                                                0.0       \n",
       "NDAR_INVAP80JDC6                                                0.0       \n",
       "NDAR_INVB8G9KFMC                                                0.0       \n",
       "NDAR_INVCMGFWG2E                                                0.0       \n",
       "NDAR_INVCVZ70012                                                0.0       \n",
       "NDAR_INVEYKTM50X                                                0.0       \n",
       "NDAR_INVGC7NCM6H                                                0.0       \n",
       "NDAR_INVH7TVMCPN                                                0.0       \n",
       "NDAR_INVHF1GBEEX                                                0.0       \n",
       "NDAR_INVJXA05086                                                0.0       \n",
       "NDAR_INVK62C7NW4                                                0.0       \n",
       "NDAR_INVL1GF9KZ8                                                0.0       \n",
       "NDAR_INVN4BPDTK4                                                0.0       \n",
       "NDAR_INVPC72NTBK                                                0.0       \n",
       "NDAR_INVPDFDEURE                                                0.0       \n",
       "NDAR_INVVFCBH31R                                                0.0       \n",
       "NDAR_INVWKNKABEN                                                0.0       \n",
       "NDAR_INVWM3FXZ4K                                                0.0       \n",
       "NDAR_INVXTRHH68Z                                                0.0       \n",
       "NDAR_INVY43C1PAY                                                0.0       \n",
       "\n",
       "                                                                ksads_9_44_p  \\\n",
       "                 Symptom - Duration of past phobia at least 6 months Present   \n",
       "subjectkey                                                                     \n",
       "NDAR_INV07RAHHYH                                                0.0            \n",
       "NDAR_INV0KPZW3NB                                                1.0            \n",
       "NDAR_INV1EECRFPM                                                1.0            \n",
       "NDAR_INV1MHAP6AR                                                1.0            \n",
       "NDAR_INV2RJ8ZRGL                                                0.0            \n",
       "NDAR_INV2YH5GYE4                                                0.0            \n",
       "NDAR_INV3W5X0ZBG                                                0.0            \n",
       "NDAR_INV402278X9                                                1.0            \n",
       "NDAR_INV4G19G9J8                                                0.0            \n",
       "NDAR_INV5784LZWF                                                0.0            \n",
       "NDAR_INV5P2UAGPW                                                0.0            \n",
       "NDAR_INV6F8VJE7N                                                0.0            \n",
       "NDAR_INV6NYCB4Y6                                                0.0            \n",
       "NDAR_INV6VZBKHPK                                                0.0            \n",
       "NDAR_INV7F1N85W0                                                1.0            \n",
       "NDAR_INV80PL5DHV                                                0.0            \n",
       "NDAR_INV9DV0865Y                                                0.0            \n",
       "NDAR_INV9HVAC68Z                                                0.0            \n",
       "NDAR_INV9WY3R321                                                0.0            \n",
       "NDAR_INVAP80JDC6                                                0.0            \n",
       "NDAR_INVB8G9KFMC                                                0.0            \n",
       "NDAR_INVCMGFWG2E                                                1.0            \n",
       "NDAR_INVCVZ70012                                                1.0            \n",
       "NDAR_INVEYKTM50X                                                0.0            \n",
       "NDAR_INVGC7NCM6H                                                1.0            \n",
       "NDAR_INVH7TVMCPN                                                1.0            \n",
       "NDAR_INVHF1GBEEX                                                1.0            \n",
       "NDAR_INVJXA05086                                                1.0            \n",
       "NDAR_INVK62C7NW4                                                1.0            \n",
       "NDAR_INVL1GF9KZ8                                                0.0            \n",
       "NDAR_INVN4BPDTK4                                                0.0            \n",
       "NDAR_INVPC72NTBK                                                1.0            \n",
       "NDAR_INVPDFDEURE                                                0.0            \n",
       "NDAR_INVVFCBH31R                                                0.0            \n",
       "NDAR_INVWKNKABEN                                                1.0            \n",
       "NDAR_INVWM3FXZ4K                                                1.0            \n",
       "NDAR_INVXTRHH68Z                                                0.0            \n",
       "NDAR_INVY43C1PAY                                                0.0            \n",
       "\n",
       "                                                                 ksads_9_44_t  \n",
       "                 Symptom - Duration of past phobia at least 6 months, Present  \n",
       "subjectkey                                                                     \n",
       "NDAR_INV07RAHHYH                                                0.0            \n",
       "NDAR_INV0KPZW3NB                                                0.0            \n",
       "NDAR_INV1EECRFPM                                                0.0            \n",
       "NDAR_INV1MHAP6AR                                                0.0            \n",
       "NDAR_INV2RJ8ZRGL                                                0.0            \n",
       "NDAR_INV2YH5GYE4                                                0.0            \n",
       "NDAR_INV3W5X0ZBG                                                0.0            \n",
       "NDAR_INV402278X9                                                0.0            \n",
       "NDAR_INV4G19G9J8                                                0.0            \n",
       "NDAR_INV5784LZWF                                                0.0            \n",
       "NDAR_INV5P2UAGPW                                                0.0            \n",
       "NDAR_INV6F8VJE7N                                                0.0            \n",
       "NDAR_INV6NYCB4Y6                                                0.0            \n",
       "NDAR_INV6VZBKHPK                                                0.0            \n",
       "NDAR_INV7F1N85W0                                                0.0            \n",
       "NDAR_INV80PL5DHV                                                0.0            \n",
       "NDAR_INV9DV0865Y                                                0.0            \n",
       "NDAR_INV9HVAC68Z                                                0.0            \n",
       "NDAR_INV9WY3R321                                                0.0            \n",
       "NDAR_INVAP80JDC6                                                0.0            \n",
       "NDAR_INVB8G9KFMC                                                0.0            \n",
       "NDAR_INVCMGFWG2E                                                0.0            \n",
       "NDAR_INVCVZ70012                                                0.0            \n",
       "NDAR_INVEYKTM50X                                                0.0            \n",
       "NDAR_INVGC7NCM6H                                                0.0            \n",
       "NDAR_INVH7TVMCPN                                                0.0            \n",
       "NDAR_INVHF1GBEEX                                                0.0            \n",
       "NDAR_INVJXA05086                                                0.0            \n",
       "NDAR_INVK62C7NW4                                                0.0            \n",
       "NDAR_INVL1GF9KZ8                                                0.0            \n",
       "NDAR_INVN4BPDTK4                                                0.0            \n",
       "NDAR_INVPC72NTBK                                                0.0            \n",
       "NDAR_INVPDFDEURE                                                0.0            \n",
       "NDAR_INVVFCBH31R                                                0.0            \n",
       "NDAR_INVWKNKABEN                                                0.0            \n",
       "NDAR_INVWM3FXZ4K                                                0.0            \n",
       "NDAR_INVXTRHH68Z                                                0.0            \n",
       "NDAR_INVY43C1PAY                                                0.0            \n",
       "\n",
       "[38 rows x 1613 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flatdf=df.reset_index()\n",
    "  \n",
    "\n",
    "# compute scores for symptoms at baseline \n",
    "symptoms_df = flatdf[flatdf['eventname'].str.contains('baseline')].filter(regex = r'subjectkey|Symptom', axis=1)\n",
    "symptoms_df = symptoms_df.replace({888.0:0.0,555.0:0.0})\n",
    "symptoms_df = symptoms_df.set_index('subjectkey')\n",
    "symptoms_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "subjectkey\n",
       "NDAR_INV07RAHHYH    0.007440\n",
       "NDAR_INV0KPZW3NB    0.010539\n",
       "NDAR_INV1EECRFPM    0.010539\n",
       "NDAR_INV1MHAP6AR    0.061996\n",
       "NDAR_INV2RJ8ZRGL    0.009919\n",
       "NDAR_INV2YH5GYE4    0.004960\n",
       "NDAR_INV3W5X0ZBG    0.001860\n",
       "NDAR_INV402278X9    0.079355\n",
       "NDAR_INV4G19G9J8    0.008060\n",
       "NDAR_INV5784LZWF    0.003100\n",
       "NDAR_INV5P2UAGPW    0.000620\n",
       "NDAR_INV6F8VJE7N    0.017359\n",
       "NDAR_INV6NYCB4Y6    0.069436\n",
       "NDAR_INV6VZBKHPK    0.000000\n",
       "NDAR_INV7F1N85W0    0.058277\n",
       "NDAR_INV80PL5DHV    0.002480\n",
       "NDAR_INV9DV0865Y    0.058896\n",
       "NDAR_INV9HVAC68Z    0.003720\n",
       "NDAR_INV9WY3R321    0.003720\n",
       "NDAR_INVAP80JDC6    0.006200\n",
       "NDAR_INVB8G9KFMC    0.070056\n",
       "NDAR_INVCMGFWG2E    0.081215\n",
       "NDAR_INVCVZ70012    0.016739\n",
       "NDAR_INVEYKTM50X    0.003720\n",
       "NDAR_INVGC7NCM6H    0.031618\n",
       "NDAR_INVH7TVMCPN    0.044637\n",
       "NDAR_INVHF1GBEEX    0.009919\n",
       "NDAR_INVJXA05086    0.040298\n",
       "NDAR_INVK62C7NW4    0.047737\n",
       "NDAR_INVL1GF9KZ8    0.006820\n",
       "NDAR_INVN4BPDTK4    0.003720\n",
       "NDAR_INVPC72NTBK    0.027898\n",
       "NDAR_INVPDFDEURE    0.009299\n",
       "NDAR_INVVFCBH31R    0.030998\n",
       "NDAR_INVWKNKABEN    0.006820\n",
       "NDAR_INVWM3FXZ4K    0.012399\n",
       "NDAR_INVXTRHH68Z    0.059516\n",
       "NDAR_INVY43C1PAY    0.003720\n",
       "Name: SymptomScore, dtype: float64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_cols = len(symptoms_df.columns)\n",
    "symptoms_total = symptoms_df.sum(axis=1) / num_cols\n",
    "symptoms_total.name = 'SymptomScore'\n",
    "#symptoms_df.append(symptoms_total)\n",
    "symptoms_total\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  SymptomScore  OurAnxietyIndicator\n",
      "subjectkey                                         \n",
      "NDAR_INV6VZBKHPK      0.000000                  0.0\n",
      "NDAR_INV5P2UAGPW      0.000620                  0.0\n",
      "NDAR_INV3W5X0ZBG      0.001860                  0.0\n",
      "NDAR_INV80PL5DHV      0.002480                  0.0\n",
      "NDAR_INV5784LZWF      0.003100                  0.0\n",
      "NDAR_INV9WY3R321      0.003720                  0.0\n",
      "NDAR_INVN4BPDTK4      0.003720                  0.0\n",
      "NDAR_INVEYKTM50X      0.003720                  0.0\n",
      "NDAR_INV9HVAC68Z      0.003720                  0.0\n",
      "NDAR_INVY43C1PAY      0.003720                  0.0\n",
      "NDAR_INV2YH5GYE4      0.004960                  0.0\n",
      "NDAR_INVAP80JDC6      0.006200                  0.0\n",
      "NDAR_INVWKNKABEN      0.006820                  0.0\n",
      "NDAR_INVL1GF9KZ8      0.006820                  0.0\n",
      "NDAR_INV07RAHHYH      0.007440                  1.0\n",
      "NDAR_INV4G19G9J8      0.008060                  0.0\n",
      "NDAR_INVPDFDEURE      0.009299                  1.0\n",
      "NDAR_INV2RJ8ZRGL      0.009919                  0.0\n",
      "NDAR_INVHF1GBEEX      0.009919                  1.0\n",
      "NDAR_INV0KPZW3NB      0.010539                  1.0\n",
      "NDAR_INV1EECRFPM      0.010539                  0.0\n",
      "NDAR_INVWM3FXZ4K      0.012399                  1.0\n",
      "NDAR_INVCVZ70012      0.016739                  1.0\n",
      "NDAR_INV6F8VJE7N      0.017359                  0.0\n",
      "NDAR_INVPC72NTBK      0.027898                  1.0\n",
      "NDAR_INVVFCBH31R      0.030998                  1.0\n",
      "NDAR_INVGC7NCM6H      0.031618                  1.0\n",
      "NDAR_INVJXA05086      0.040298                  1.0\n",
      "NDAR_INVH7TVMCPN      0.044637                  1.0\n",
      "NDAR_INVK62C7NW4      0.047737                  1.0\n",
      "NDAR_INV7F1N85W0      0.058277                  1.0\n",
      "NDAR_INV9DV0865Y      0.058896                  1.0\n",
      "NDAR_INVXTRHH68Z      0.059516                  1.0\n",
      "NDAR_INV1MHAP6AR      0.061996                  1.0\n",
      "NDAR_INV6NYCB4Y6      0.069436                  1.0\n",
      "NDAR_INVB8G9KFMC      0.070056                  1.0\n",
      "NDAR_INV402278X9      0.079355                  1.0\n",
      "NDAR_INVCMGFWG2E      0.081215                  1.0\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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Hc5tbm7O1sL63ve+d8S2wwOsSZMmtbuPUqmUzbv55ptbbT+aAKuz4O1P/uRPIkmS+Nf/+l93us8//dM/zR5J/CQBFgAAFalpVrrGVfWoiHlPtB9cHT6WvRQx/faIN+5L/97Di7sLsIpBgEWuemOA9cbqd+LZOevi3inpo4DdDbDGzX0r7nytIaYs2xLrt/eOxwgPf9ztpz/96VHvZ8uWLdl+brjhhk7nf/7zn29z4fjDA6zp06d3uI9D82666aZW244mwPqP//E/djhv6NChkSRJXHTRRZ3u87vf/W4kSRKnnnpqq20CLAAAKs6e7WkA9cb9EbPu6Vp4dWgs/HUaei35bcTGN3v0awiwikGARa56Y4A1veHteKamKX72u1XdDq+mLt8av31zQ9z5WkNULd0ca9/ZXdZzP1p5vYXw8ABr5MiRnc6vxADra1/7WofzDgVYf/Inf9LpPgVYAAD0KpsWpm8XrB4VseBX3QuwVkxK78KqfTh9a2Hz3h77GgKsYhBgkaveGGDNXLUtnqltivumrjyqAGv8vHTx99eWbo517/aOAKulpSXOPvvsSJIkBgwYEDt27Diq/XTnEcIDBw506RHCSguwPEIIAMAJa011unD7tNEdr3vV3qj7ZfrZhqqIHZt67GsIsIpBgEWuemOANafx3Xj+oxBq4uJN3Q6wnnrj4/Br8wc99/916K6f/OQnXVo4vTNdXcS9rq6uS4u4H0uA9X/+z//JPcDq6iLuzc3NFnEHAKB3WflaxJxH0rcKdje8aqhK79qqHhVRPzHivXU99jUEWMUgwCJXvTHAWvvO7pi8bEvcM2VlPD27qVvh1eSl6eeeqWmKaSvejuaDpbKe+7HYuHFj9O/fP7sLa8WKFV36XKlUimeffTb7+9VXX539m8+dO7fdz1155ZXZvLq6uiO25RVg3X777dn2Dz/8sMP9dDXAev7557N93nHHHe3Oe+6557J5Y8aMabVdgAUAQMURYNGLCLDIVW8MsD48cDCqV2yNp2Y3xb1TVsarSzd3OcB6bs5bcdfkhpi0ZHMs33R0j+H1pCeeeCL79zrnnHNixowZHc5fvnx5fP3rX48LL7ww+9mSJUvi5JNPjiRJ4sILL2zzccTJkyfHKaecEkmSxFe/+tVW2/MKsJ5++uls+/LlyzvcT1cDrP3798egQYMiSZI47bTTYsmSJa3mrF+/PpvTv3//eOed1m9hEWABAFBxPEJILyLAIle9McCKiFi68YOYtGRz3DNlZTw8fU1MXtr52whfnL8h7p7cEE/MWhtTl2+ND/Y2l/2883DzzTdn/2aHHn978MEHY9q0abFgwYL43e9+Fw899FBccsklWQh1eIAVEXH99ddnnz/vvPPi0UcfjXnz5sWMGTPiJz/5Sbb2Vd++fWPhwoWtziGvAGv16tVHfI/XX389Vq1aFatXr47Vq1fHgQMHsrldDbAiIiZOnBgnnXRSJEkSn/nMZ+Lmm2+O2bNnx5w5c+Kee+6Jc845JzvuQw891OY+BFgAAFScY1rEfaJF3CkrAVYXrVu3Lq677roYOnRo9O/fPz772c/GiBEjYsyYMbFnz57cjlNVVRWXXnppDB48OPr27RuDBw+OSy+9NKqqqrq8j5qamvif//N/xpAhQ2LAgAHRt2/f+PznPx/f+MY34tFHH439+/fndr6f1FsDrL37D8aMldvipQUb454pK+PBaavj/83f2GZw9erSzfHrOevi7skN8YvX18SUZVuifnPvu/vqcC+88EL84R/+4RFBVnvjy1/+ckyePPmIz5dKpbjmmms6/Nzpp5/e6nOH5BVgRUT89V//dbvn0NTUlM3rToAVEfHUU0/Fpz/96Xb3fcopp7Ra2+twAiwAACrOnu1pGPXG/RGz7ulegLXw12nwteS3ERvf7NGvIcAqBgFWF0yYMCFOO+20dhvXIUOGxOrVq4/pGKVSKS6//PIOA4ArrrgiSqX211hqaWmJf/iHf+hSAPHWW28d0/m2p7cGWBERH+xpjmkNb8eERRvjZ9Wr4s7XGuKB6lXxbO26eL5ufYyb+1Y8MWtt3D25Ie6e0hBPzl4bU5ZtiUXr34+WlpYeOec87d+/P37961/H97///Rg6dGh89rOfjT59+sSZZ54ZX/nKV+Kaa66JadOmdfhdZ86cGX/zN38Tv//7vx+f/vSn47TTTos/+qM/ip/+9KcdLoCeZ4DV3NwcY8aMia9+9atx+umnZ483HmuAFRHR1NQU//iP/xgXXHBBDBgwIPr16xfnnXde/OhHP2rz0cLDCbAAAKhITbMiFo1Nw6h5T3QtvFr2Unr31Rv3pX/f3XoJjXISYBWDAKsTCxYsiH79+kWSJDFw4MC49dZbo6amJqqrq7O3kx0KsXbu3HnUx7nhhhuyfQ0fPjzGjh0bdXV1MXbs2Bg+fHi2beTIke3uY/To0dm8z3zmM3HTTTfFlClToqamJp588skYNmxYtn3YsGFHPE6Vl94cYEVE7NzXHG+sfid9RHDBxvjlzMa4Z8rKuPO1hrhrckP87Her4tk566Lqo3WyVmzZcUKEV1S+Srg+AAA4Ae3c+tF6Vo+lIVbdYx2vh7XktxEz7kjH8pcj3qqN6OGeSIBVDAKsTlx88cWRJEn06dMnampqWm0fM2ZMp3eEdGblypXRp0+fSJIkRowYEXv3Hvns8J49e2LEiBHZebR1t1dzc3OcccYZHa4zdODAgfjjP/7j7HzHjx9/VOfbkd4eYEVElEotseWDfTGvaXv22OCUZR+viTWt4e1o2LIzdn2YfwAI7amU6wMAgBPQu2vScGre42mINf22dIH2pS9ELJ+Q3nG14NmIWfem22felf6scUbEgeO3RE1XCbCKQYDVgblz52YXwVVXXdXmnFKpFBdccEEkSRJnnHFGNDd3fyHvq6++OjtObW1tm3Nqa2uzOddcc02r7YsXL862f+tb32r3WC+//HI277rrruv2uXbmRAiwDrf7wwOx5YN9sX77ntj4/t7YtvPDOHCw/cc44XipxOsDAIATyPa1aYi19IWIOY+kbxesHnXkmHVvGmTVT4xoeiPiwIc9fdYRIcAqCgFWB0aOHJldBHPmzGl33m233ZbNa2+R6va0tLTEoEGDIkmSOP/88zucO3To0EiSJAYPHtzqsbV58+Zl5/DP//zP7e5j2bJl2bwf//jH3TrXrjjRAiyoFK4PAACOu73vRWxakL5VsH5ixOLnIxY+F7FoXPq2woaqiLWvp2FX6WBPn21GgFUMAqwOHHp8cMCAAR2uF1VTU5NdLDfeeGO3jtHY2NjpXV6HXHnlldnctWvXHrHtgw8+iJNOOqlbd2A98MAD3TrXrhBgwfHh+gAAoJV9OyLefyt9BHB7Y8QHGyKa9x37fg98mO5z08KIDfMiNs6P2LosYve7x77v40CAVQwCrA6cffbZkSRJXHjhhR3Oe++997KL5dvf/na3jvHKK69kn7333ns7nHvPPfdkcydNmtRq+/e+971sDazFixe32n7gwIG46KKLIkmSOP300+Pdd/MvPgIsOD5cHwAAREREqRTxwcaIdTXpHVErJkXUT4iof+WjhdZfTQOnCg2bjgcBVjEIsNqxb9++7AK45JJLOp0/YMCASJIkLrroom4d5+GHH+7yourjx4/P5j7yyCOttm/dujW+8pWvRJIkcdppp8X//b//N6ZOnRq1tbXx1FNPxYUXXhhJkkT//v3j5Zdf7tZ5HrJhw4YOR11dnQALjgPXBwAA8eGudOH0hqr0sb7ZP4uovuXjNaqmjU7Xr1r6Qjpnw7yIgyf+y6cEWMUgwGrHtm3bsgvgO9/5TqfzzznnnEiSJIYNG9at4xz+FsNXX321w7lVVVXZ3LvuuqvNOXv27In77rsv/tW/+lfZ3EPjpJNOiiuuuCJWrFjRrXM83Cf32dEQYEF+XB8AAAW3b0fEqqlpOPX6nR+/DfDNJyMW/jpdXL3ul+kbBKtHRbzxs/TOrKY3Ig52/2VjvYkAqxgEWO1Yv359dgFcdtllnc4/99xzI0mSOO+887p1nJtvvjk7TnV1dYdzq6urs7mjRo1qc84rr7wSI0aMaDdU+tznPhf/+3//79i//+hedSrAgp7h+gAAKLDmfRFrqiOWjE/vspp5V8Ti33z0yOAnxoqJaZh1aF79hIj1dRGfeBHYiUSAVQwCrHb0xjuw7rvvvmwh9//0n/5TTJ06NXbs2BH79++P+vr6+Od//uc45ZRTIkmS+A//4T/Erl27unWuER4hhJ7i+gAAKLCtyyOWT0jvrpp1z2HrXXUwlr6Yzn/jvvTvO7f09Lc4bgRYxSDAakdvWwNr8eLFcfLJJ0eSJPEXf/EXcfBg2680ffzxx7N9XHfddd06166wiDscH64PAICCOnggYtWUiHmPR0y7NWL5y52HV4fGwufSxwkXPx+xfm5Pf5PjRoBVDAKsDpx11lm95i2E//RP/5Rtmz17dof7+dKXvhRJksSZZ54ZLTnfRirAguPD9QEAUFDvv5W+aXD67RG1D3c9vDr0hsIZYyJqfp7+/cPuP4XTGwiwikGA1YGLL744kiSJAQMGxIED7b+5oaamJrtYbrzxxm4do7GxMfvsVVdd1eHcK6+8Mpu7du3aI7b95V/+ZbZt3759He7nO9/5TjZ369at3Trfzgiw4PhwfQAAFNSGeRGLxqZ3Ui35bfcCrIaqdJH36lvStbDeXdPT3+a4EGAVgwCrAyNHjswugjlz5rQ777bbbsvmTZ48uVvHaGlpiUGDBkWSJHH++ed3OPf888+PJEli8ODBre6cuuSSS7Jz6Gxtq29961vZ3Hfffbdb59uZYykcjY2NUV9fHytWrIhSqZTreUFvViqVYsWKFVFfXx+NjY09fToAAJRT0xsR859OA6zuhlcNVeli79Wj0rcXvl3f09/muBBgFYMAqwNz587t9O6oUqkUF1xwQSRJEmeccUY0N3f/9aRXX311dpza2to259TW1mZzrrnmmlbbf/zjH2fbq6qq2j1Wc3Nz/N7v/V4kSRKnn356RT1CuGnTpqivr4/6+vrYsWNHrucFvdmOHTuya2Pz5s09fToAAJTT2pkR855M1786mgBryfiP797auqynv81xIcAqBgFWJw49RtinT5+oqalptf3wtwjedNNNrbZPnz492/6DH/ygzWOsXLkyezvgiBEjYu/evUds37t3b4wYMSI7j7YeIZo8eXJ2nH/7b/9tuwHQ4XeV/ff//t87/wV007EUjl27dmVN+sqVK2PHjh3uxKLQSqVS7NixI1auXJldG0fz9lAAAHqxt2oj5j+ThlBdeftgewu5L3spYtvKnv42x4UAqxgEWJ1YsGBB9OvXL5IkiYEDB8bo0aOjtrY2pk2bdsSaVEOGDImdO3e2+nxXAqyIiBtuuCGbN3z48Bg3blzMmzcvxo0bF8OHD8+2jRw5st19/Nmf/Vk27wtf+ELcd999UVNTEwsWLIjf/OY38Vd/9VfZ9gEDBkRDQ0Mev6IjHEvhaGlpiaampqxRP/Q44apVqwyjkOPQY4OHRlNTU+53TQIAUOG2LkvDp+pbIt58qvsBVs3PI16/M/3zjhPzbn4BVjEIsLpgwoQJcdppp2UXxCfHkCFDYvXq1W1+tqsBVqlUih/+8IftHiNJkrj88ss7vCPpvffei//8n/9zh/tIkiQ+97nPxdSpU4/119KmYy0cpVKpVYhlGEYaXrkjEQCggPbtSMOn2T/7OIjq6lj+Unr31ZtPRqz+XcQJ+n9PCrCKQYDVRevWrYtrr702hgwZEv37948zzjgjRowYEXfccUfs2bOn3c91NcA6ZNKkSfHNb34zBg0aFH379o1BgwbFN7/5zQ7XtTpcS0tLvPTSS/HXf/3X8YUvfCH69esXn/rUp+Jzn/tc/Omf/mnccccdsX379q5+7W7Lo3C0tLTErl27YvPmzdHY2Njjd8EYRk+NxsbG2Lx5c+zatcudVwAARfZWbcSi5z8Ko7p4F9aKSendV1qP2kEAACAASURBVNNGp28gPEEfH4wQYBWFAItcKRwAAAA527k1DaXm/iINseY/00l4NTGi9uH0scOFv45YOTmieW/nx+ml9KHFIMAiVwoHAADAcfD2ivSuqjmPpCHWrHsjFjybhlXZI4MTIuY9ETFjTBpezf9VRMOraQB2AtOHFoMAi1wpHAAAAMdBS0vE2/Ufv1nwjfvSIGvarWlgNeOONLSqviWi5sGIJeMjVr52wi7cfjh9aDEIsMiVwgEAAHAcfbAxYu3MNMha+kLEvMcj5j4aMfeX6fpYyyek29bXRex9r6fPtiz0ocUgwCJXCgcAAEAZ7NkesWlhROP0iFVTI1ZPjVj7enqX1v7dPX12ZaUPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAACActKHFoMAi1wpHAAAAJSTPrQYBFjkSuEAAACgnPShxSDAIlcKBwAAAOWkDy0GARa5UjgAAAAoJ31oMQiwyJXCAQAAQDnpQ4tBgEWuFA4AAADKSR9aDAIscqVwAAAAUE760GIQYJErhQMAAIBy0ocWgwCLXCkcAAAAlJM+tBgEWORK4QAAAKCc9KHFIMAiVwoHAAAA5aQPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAACActKHFoMAi1wpHAAAAJSTPrQYBFjkSuEAAACgnPShxSDAIlcKBwAAAOWkDy0GARa5UjgAAAAoJ31oMQiwyJXCAQAAQDnpQ4tBgEWuFA4AAADKSR9aDAIscqVwAAAAUE760GIQYJErhQMAAIBy0ocWgwCLXCkcAAAAlJM+tBgEWORK4QAAAKCc9KHFIMAiVwoHAAAA5aQPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAACActKHFoMAi1wpHAAAAJSTPrQYBFjkSuEAAACgnPShxSDAIlcKBwAAAOWkDy0GARa5UjgAAAAoJ31oMQiwyJXCAQAAQDnpQ4tBgEWuFA4AAADKSR9aDAIscqVwAAAAUE760GIQYJErhQMAAIBy0ocWgwCLXCkcAAAAlJM+tBgEWORK4QAAAKCc9KHFIMAiVwoHAAAA5aQPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAA4DClUsTe9yN2v5OOve9HlA729FmdUPShxSDA6qJ169bFddddF0OHDo3+/fvHZz/72RgxYkSMGTMm9uzZk9txqqqq4tJLL43BgwdH3759Y/DgwXHppZdGVVVVh5978sknswu2q+MHP/hBbud9iMIBAAAQEfv3RGxriFg9NaKh6sixamrE2/UR+3f39FmeEPShxSDA6oIJEybEaaed1m4QNGTIkFi9evUxHaNUKsXll1/eYeB0xRVXRKlUavPzRxNgjR49+pjOuS0KBwAAUGilUsSWJWlQVT8hYt6TETPvjph+ezpm3h0x7/GI5RPSOZsWuiPrGOlDi0GA1YkFCxZEv379IkmSGDhwYNx6661RU1MT1dXV8aMf/eiIEGvnzp1HfZwbbrgh29fw4cNj7NixUVdXF2PHjo3hw4dn20aOHNnm599///1YunRpp+NLX/pSJEkSJ5988nG5sBUOAACgsEoHI9bPjaifGDHnkYjqWyOqb4mY/UBE3S8j6h6LqHkw/Vn1LRG1D6Vz19VEHDzQ02ffa+lDi0GA1YmLL744kiSJPn36RE1NTavtY8aMyS6Um2666aiOsXLlyujTp08kSRIjRoyIvXv3HrF9z549MWLEiOw8jvZur/r6+uxc//zP//yo9tEZhQMAACiklpaIjW+mgdSseyOm3frRnVYvt36EcPmEiHlPpHNm3p3eqbW+Lt0H3aYPLQYBVgfmzp2bXQRXXXVVm3NKpVJccMEFkSRJnHHGGdHc3Nzt41x99dXZcWpra9ucU1tbm8255pprun2MiCPv8nr66aePah+dUTgAAIBC2rE5Dafe+FkaTC35Tevg6pNj6W8jpo1OA68VkyLeX9/T36JX0ocWgwCrAyNHjswugjlz5rQ777bbbsvmTZ48uVvHaGlpiUGDBkWSJHH++ed3OHfo0KGRJEkMHjw4WrqZzJdKpTj33HOzRyF37z4+iwUqHAAAQCG9VRux6PmI6lERC5/rPLw6NBaP+/gzTbN6+lv0SvrQYhBgdeDQ44MDBgyIAwfafx65pqYmu1huvPHGbh2jsbGx07u8DrnyyiuzuWvXru3WcX73u99ln/3bv/3bbn22OxQOAACgVznwYcS7a9IAqnFGROP0NEjasiRi7/td28e+HWkYNfuBiNfv7Hp4dWjMvDvijfvTP+/Zfjy/7QlJH1oMAqwOnH322ZEkSVx44YUdznvvvfeyi+Xb3/52t47xyiuvZJ+99957O5x7zz33ZHMnTZrUreP87d/+bfbZ6urqbn22OxQOAACgV9i/O30D4MrX0nWrFjybrks17/GI+U9HLHspDZTWzY7YuaXjfW1rSNe6qr4l4s2nuh9gzX8mvQtr2f+L2LqsPN//BKIPLQYBVjv27duXXQCXXHJJp/MHDBgQSZLERRdd1K3jPPzww9lxxo8f3+Hc8ePHZ3MfeeSRLh9j9+7dMXDgwEiSJM4999xuP354uA0bNnQ46urqFA4AAKCy7dkesWpqGhjN/UW6DlX1qPS/029L/1x9S7qe1aJxaci0raH9RdY3LYxY/NHjg0tf7H6Atfyl9LOLnksXgqdbBFjFIMBqx7Zt27IL4Dvf+U6n888555xIkiSGDRvWreMc/hbDV199tcO5VVVV2dy77rqry8d45plnss/99Kc/7db5fdKh/XRlKBwAAEDF2fteetfVonEfB1Zzf5mGWYcCpfqJ6V1RM+9Kg6W5v/g4xGrLxjcjFo1N5y5/qfsBVv0r6WcXPBuxfm55fx8nAAFWMQiw2rF+/frsArjssss6nX9ogfTzzjuvW8e5+eabu/xoX3V1dTZ31KhRXT7G17/+9exzDQ3tFNwuEmABAAC91sHmiNVTP7pb6pZ03an6VzoOl9586sgQq63HCTcvOuwOrBe6H2AtO3QH1lh3YB0FAVYxCLDacaLcgbVp06Y4+eSTI0mS+OM//uNunVtbPEIIAAD0WtvXpndXTb894o37IlZM7FrAdCjEWjQ2XRPrk95ZHVE/IaL61nQNre4GWG8+mQZqy1+OeHtF2X8tvZ0AqxgEWO04UdbAuuOOO7LPPPjgg906t6OhcAAAABWppSV9y+CCZ49uraqZd6drYjVUtX47YfPe9Oe1D6Xh2IpJXd/vikkRM8ZE1Pw8/fuHO3vm99OL6UOLQYDVgbPOOqvXv4Vw2LBhkSRJ9O3bN7ZvP/6vY1U4AACAirT73TQgmnVvevfVUb0p8JZ0rawtS1rvf8ObEUvGp+FYd95EeOgNhIufj3hrTvl/LycAfWgxCLA6cPHFF0eSJDFgwIA4cOBAu/Nqamqyi+XGG2/s1jEaGxuzz1511VUdzr3yyiuzuWvXru103/Pnz8/mf+tb3+rWeR0thQMAAKhI76756DG/UWlo1O2F1iemAdabT0U0zWq9/0MB2ZxHPl6QvbN9Lnwu3WfNQx+tr7W1/L+XE4A+tBgEWB0YOXJkdhHMmdN+En7bbbdl8yZPntytY7S0tMSgQYMiSZI4//zzO5x7/vnnR5IkMXjw4Ghp7/Wth/nHf/zH7Lxeeumlbp3X0VI4AACAirStIb17qnpUxOJx3Q+wGqrSNxbOezxizbS2j/H2ivSRwJqH0uPUPBix+Det97NkfPq4YfWoiNkPpOHYlqXl/X2cQPShxSDA6sDcuXM7vTuqVCrFBRdcEEmSxBlnnBHNzc3dPs7VV1+dHae2trbNObW1tdmca665ptN9HjhwIFtY/uyzzz6q8zoaCgcAAFCR3ll12Nv+jjLAmjY6DbAaZ7R9jJaW9PHCQwu/zxiTHu/1O9OgavYDETPvSn82/faIeU+mczctTD/LUdGHFoMAqxOHHiPs06dP1NTUtNp++FsEb7rpplbbp0+fnm3/wQ9+0OYxVq5cGaecckokSRIjRoyIvXv3HrF97969MWLEiOw8Vq1a1el5H7621j/8wz906bvmQeEAAAAq0ntNHz8GeDRvCjx099aCZyPWte4Nj7B9bcSqqennFo1L78h64/501DwYsei59E6tVVPTRxuFV8dEH1oMAqxOLFiwIPr16xdJksTAgQNj9OjRUVtbG9OmTTtiTaohQ4bEzp2t3xbRlQArIuKGG27I5g0fPjzGjRsX8+bNi3HjxsXw4cOzbSNHjuzSeX/729/OPvPmm28e7dfvNoUDAACoSPt3p4FSzUMRM+7o3psCG6oi5v4yvQOrfmIaOnWmdDDig41p2PXJfTW9EfH++nQOx0wfWgwCrC6YMGFCnHbaadkF8ckxZMiQWL16dZuf7WqAVSqV4oc//GG7x0iSJC6//PIolUqdnu/7778fp556aiRJEl/+8peP9msfFYUDAACoWBvmffymwIXPdW8B9+m3Rcz9RcTK1yIOfNi945YORjTvTYfQKnf60GIQYHXRunXr4tprr40hQ4ZE//7944wzzogRI0bEHXfcEXv27Gn3c10NsA6ZNGlSfPOb34xBgwZF3759Y9CgQfHNb34zqqqqunyujz76aHbM22+/vcufy4PCAQAAVKxdb6eB1Bv3p4HU0hc7D69WTIyY/bP07qtlL6brVVFR9KHFIMAiVwoHAABQsVpaItbPjaifkC6sPv229E6s9h4nXPZiGnZV3xKxaGzEqikRH+7q6W/BJ+hDi0GARa4UDgAAoKIdbI5ompWGWG/clz5OOOOOiHlPpAuuLx4XseBXHwVXo9KQa/Hz6aODu9/t6bOnDfrQYhBgkSuFAwAAqHgHm9M7sRqq0jWxah5K77KqHvXxmHlPxPxfpetfrZ4asWd7T5817dCHFoMAi1wpHAAAQK/Q0pKuibVh3scLtS97KX1ssH5C+rPGGRHbG9PAi4qlDy0GARa5UjgAAIBeZ//uiPeaIratjNjWEPHumojd76QhFxVPH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAACActKHFoMAi1wpHAAAAJSTPrQYBFjkSuEAAACgnPShxSDAIlcKBwAAAOWkDy0GARa5UjgAAAAoJ31oMQiwyJXCAQAAQDnpQ4tBgEWuFA4AAADKSR9aDAIscqVwAAAAUE760GIQYJErhQMAAIBy0ocWgwCLXCkcAAAAlJM+tBgEWORK4QAAAKCc9KHFIMAiVwoHAAAA5aQPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAACActKHFoMAi1wpHAAAAJSTPrQYBFjkSuEAAACgnPShxSDAIlcKBwAAAOWkDy0GARa5UjgAAAAoJ31oMQiwyJXCAQAAQDnpQ4tBgEWuFA4AAADKSR9aDAIscqVwAAAAUE760GIQYJErhQMAAIBy0ocWgwCLXCkcAAAAlJM+tBgEWORK4QAAAKCc9KHFIMAiVwoHAAAA5aQPLQYBFrlSOAAAACgnfWgxCLDIlcIBAABAOelDi0GARa4UDgAAAMpJH1oMAixypXAAAABQTvrQYhBgkSuFAwAAgHLShxaDAItcKRwAAACUkz60GARY5ErhAAAAoJz0ocUgwCJXCgcAAADlpA8tBgEWuVI4AAAAKCd9aDEIsMiVwgEAAEA56UOLQYBFrhQOAAAAykkfWgwCLHKlcAAAAFBO+tBiEGCRK4UDAADI3YH9Ee+uiWh6I2JNdcSqqRFrpkVsmBexc2tES0tPnyE9SB9aDAIscqVwAAAAuWneG7F5UcTK1yLqJ0YseDai7rGIub+MmPd4xOLnIxqq0lDr3TWCrILShxaDAItcKRwAAEAu9n0Qsfp3Ecteipj7aMT00RHVoyKm3x4xY0zEtI/+PvOuiPnPRKyYFLHhzYjSwZ4+c8pMH1oMAixypXAAAADH7MNd6WOCS8ZHTL8tDavmPhqx7MX0jquGqjSwWjQuYvYDaZD1xv0R9a+kjxW6E6tQ9KHFIMAiVwoHAABwTFpaIta+HrH0hTS4mnVvxPIJHwdXbY3F4yKm3fpRiDUx4p1VPf0tKCN9aDEIsMiVwgEAAByTnVvTUGrm3enjgfWvdBxeZSHW8xHVt0TMeyK9e8ujhIWhDy0GARa5UjgAAIBjsr4uYslv0scCF43tWnh1aNQ8GDHjjvTPH+hHikIfWgwCLHKlcAAAAEdt/54jg6gVk7oXYB0efK2r6elvQ5noQ4tBgEWuFA4AAOCoHXp8cProiLrHuhdeHRozxkTMeSRi5Ws9/W0oE31oMQiwyJXCAQAAHLUPNqQhVPUtEfOfProAa9a96R1cDVURpVJPfyPKQB9aDAIscqVwAAAAR23Hpo8CrFsj3nzyKAOseyJqH0r/3NLS09+IMtCHFoMAi1wpHAAAwFHb/U4aPL1+58d3UXVn1L8SMe3WiHmPR6ye2tPfhjLRhxaDAItcKRwAAMBRKx2MWDU1Yt4T6WOEyyd0L8Ca/3T6uWUvRWxZ0tPfhjLRhxaDAItcKRwAAMAxeXtFRP2ENIjqzkLuKyald27N/ln6930f9PQ3oUz0ocUgwCJXCgcAAHBM9u9OA6i5j0ZUj4pYNLZr4VXtw2noteQ3EetqevpbUEb60GIQYJErhQMAADhmb9enodTsn6Uh1ptPputbtRVeLXsxYvYDH7258FcRK1+L2LO9p78BZaQPLQYBFrlSOAAAgGPW0hKxaUEaYs15JA2npt2a/nnBsxELn4uY/0zEG/enAdf00enPGl6N2LG5p8+eMtOHFoMAi1wpHAAAQC5aWiK2Lv/oLquXIub+MmL6bWlgdWjMvCe966p+YsSqKRG7tvX0WdMD9KHFIMAiVwoHAACQq3070jcKrpychln1r0QsfzkNrRqqIhqnR2xvjDiwv6fPlB6iDy0GARa5UjgAAIDj4mBzxI5NEdvXRry7JuK9pojd76R3alFo+tBiEGB10bp16+K6666LoUOHRv/+/eOzn/1sjBgxIsaMGRN79uzJ7ThVVVVx6aWXxuDBg6Nv374xePDguPTSS6Oqqqpb+2lubo4nn3wy/st/+S9x7rnnRt++feOss86KYcOGxeWXXx6/+c1vcjvnwykcAAAAlJM+tBgEWF0wYcKEOO2007IL4pNjyJAhsXr16mM6RqlUissvv7zdYyRJEldccUWUSqVO97V48eIYNmxYh/s6/fTTj+l826NwAAAAUE760GIQYHViwYIF0a9fv0iSJAYOHBi33npr1NTURHV1dfzoRz86IsTauXPnUR/nhhtuyPY1fPjwGDt2bNTV1cXYsWNj+PDh2baRI0d2uJ/FixfHmWeeGUmSxKmnnho//vGPY8KECTF//vyora2NZ555Jr73ve/Fueeee9Tn2hGFAwAAgHLShxaDAKsTF198cSRJEn369ImamppW28eMGZNdKDfddNNRHWPlypXRp0+fSJIkRowYEXv37j1i+549e2LEiBHZebR3t9e+fftiyJAhkSRJ/P7v/36sWrWq3WPu3398FjhUOAAAACgnfWgxCLA6MHfu3OwiuOqqq9qcUyqV4oILLogkSeKMM86I5ubmbh/n6quvzo5TW1vb5pza2tpszjXXXNPmnFGjRkWSJHHyySfHnDlzun0eeVA4AAAAKCd9aDEIsDowcuTI7CLoKBC67bbbsnmTJ0/u1jFaWlpi0KBBkSRJnH/++R3OHTp0aCRJEoMHD46WT7xp4+DBgzF48OBIkiS+8Y1vdOsc8qRwAABAwTXvjdizPWLXtvS/zft6+ow4welDi0GA1YFDjw8OGDAgDhw40O68mpqa7GK58cYbu3WMxsbGTu/yOuTKK6/M5q5du/aIbTNnzsy2/fznP89+vm/fvlizZk1s3LgxDh482K1zOxoKBwAAFFCpFLFjc8RbcyIaqlqP9XURO7dGfOL/EQ950IcWgwCrA2effXYkSRIXXnhhh/Pee++97GL59re/3a1jvPLKK9ln77333g7n3nPPPdncSZMmHbHt8LW4Xn/99Vi1alV861vfik996lNHvHnwsssuizVr1nTrHLtD4QAAgILZ/U7Emuo0qFr8fETNzyNevzNi+u3pf2seTH/eUBWxZlp6VxbkSB9aDAKsduzbty+7AC655JJO5w8YMCCSJImLLrqoW8d5+OGHs+OMHz++w7njx4/P5j7yyCNHbPsf/+N/ZNt+8YtfZOfT1vjMZz4TU6dO7dZ5HrJhw4YOR11dncIBAABFsWNzRMOrEYvGpWFV9aj0v3N/EVH3WPrfGWPSn8+8Kw2yVr6W3o0FORFgFYMAqx3btm3LLoDvfOc7nc4/55xzIkmSGDZsWLeOc/idU6+++mqHc6uqqrK5d9111xHb/ut//a/ZtlNPPTWSJIlrr702Vq9eHfv374/Gxsa4/vrr46STTsoWnH/rrbe6da4R0W4o1tZQOAAA4AS2+900jJr/q4jqWyLeuC9i8bjWjw+umJQGXLPuTect/HX6ub3v9fQ34AQhwCoGAVY71q9fn10Al112Wafzzz333EiSJM4777xuHefmm2/OjlNdXd3h3Orq6mzuqFGjjtj253/+50eERzfffHOb+xg9enQ25+/+7u+6da4RAiwAACDStazWTEuDqepbImofToOqtta/yoKsienjhNW3pHdirX29p78FJwgBVjEIsNrR2+7AuuSSS7JtZ599duzfv7/NfRw4cCA+//nPR5IkceaZZ7Z6m2FnPEIIAADEzq1pKDXz7vTOqs7Cq8NDrEOfaahK7+KCYyTAKgYBVjt62xpY3/3ud7Nt/+2//bcO9/M3f/M32dy8F3RXOAAAoIK1tKSLrm9aENE0K6JxesTamelbAt9fH1Hq4pvL19dFLPlNurbVorFdC68OjQXPpp9b+kLExvnH89tSEPrQYhBgdeCss87qNW8hvP7667Nt1157bYf7ueGGG7K5tbW13TrfzigcAABQgVpaIt5rimickYZIS34b8eZTEfMej5j3ZPoo4IpJEaumRry9IuJgc/v7OvBhuo+ahyJm3NH1u68Ovwtr+m0Rcx5JF4A/eKBcvwVOUPrQYhBgdeDiiy+OJEliwIABceBA+0W1pqYmu1huvPHGbh2jsbEx++xVV13V4dwrr7wym7t27dojtj311FPZtv/1v/5Xh/s5POyaN29et863MwoHAABUmNLBiI1vpkHT/F9FzLwnvQOq+pY0SJp2a/r3GXekgVb9hHR9qv172t7fvg8+fnyw9uHuhVeHRs2D6aLvDVUR+3eX9/fBCUcfWgwCrA6M/P/s3XuMVuedH/ATmZDlUpY0Wa/DKLttox3DypJFNN36H2crdTepmnahq0ZR/7C86xu11UqNpSqmlaANNxs7dnyJL/E6m3idgE0uDpchxBnANp5hBhhj7heDMTa+Y2PMDOYy8+sfh3kNZuadecfH5wWez0c6AuZ9zm2k95f8vn7Oc6ZPr3wJ1q5dO+C4efPmVcatWLGipnP09vbGhAkTIsuymDhxYtWxEydOjCzLoqGh4ay1q/bu3Vu5hv/4H/9j1eP87d/+bWXsa6+9VtP1DkbhAACAc0hvb8Qr6yK2LYlYc3ceVK25O+L5n585c2rTExFt9+eh1ur5EVt+lS/Sfvzo2cfsOpjv8/TtEe0PDS/AansgD8B2NEccfb/83wsXFH1oGgRYVbS3tw86O6qnpycmTZoUWZbF+PHj4/jxKlNtB3DjjTcO+khfW1tbZcxNN93U75jJkydXZowdOnSo3zGHDx+OcePGDeuNiUOhcAAAwDnkrZ0R25bmodXKOfmjgtWCpS2/zoOpVbdGbHkyYl/r2cc8+v5pM7DuH16A9dy9p83AGmCmFwyRPjQNAqxB9D1GOGLEiGhtPbt4n/4WwZkzZ571+apVqyqfX3311f2eY+fOnXHRRRdFlmXR1NQU3d3dZ3ze3d0dTU1NlevYtWtXv8d5/PHHK+f6u7/7u37HXHfddZUxt99+e/WbHwaFAwAAzhEnT0Ts+l3+WGDL7IgXjhnwTQAAIABJREFUHh9auLT1N/njhGvuzv/ddfBjxz2er1219sH8EcTtS2sLr7YtycO09ocjdq6I6Ompz++HC4Y+NA0CrEF0dnbGqFGjIsuyGDt2bMydOzfa2tpi5cqVZ6xJ1djYGIcPHz5r/6EEWBFnLqw+efLkWLhwYaxbty4WLlxYmVmVZVlMnz696vX+h//wHypjv/GNb8STTz4ZnZ2d8Zvf/OaMzyZPnhxHj/YzHfgTUjgAAKAg3e/lbwY8uCdfgP39A9UXV/+4917OHxNcdWvta1Wd/qbAA8+ffewDnflnLbPysbUce8OjeaC25cmI1zcV9usiXfrQNAiwhmDx4sWVx+762xobG2P37t397jvUAKunpyeuueaaAc+RZVlce+210TPIf5344IMP4utf/3rV4/zrf/2v4/XXX/8kv5IBKRwAAPAJ9JzMQ6uX1pw2Y2lx/hjgjuaInb+NeO2FPNwazEtr8rWuWmblbx0czpsC2x/Kz3ni2JnH7lsH69m78kcOty0Z4uyrxfkaW2vuObX+Vf9Ln0At9KFpEGAN0b59++I73/lONDY2xujRo2P8+PHR1NQUt912W3R1DfzM9lADrD7Lli2LKVOmxIQJE2LkyJExYcKEmDJlSjQ3Nw/5Wnt7e2PBggXx7//9v49LLrkkPvvZz8Yf/dEfxV//9V/Hj3/84zh58uSQj1UrhQMAAIap+72IF1vyWVMbf35q0fXZp94YOOtUoPRwPnNpR3MeZA30H7h7ek4tln5/xDN3DG+dqrUP5Y8S7miOOPLO2ed46dk8GFs5N7/WwUKsbYvzwGvl3Hz21sv9r/8LtdKHpkGARaEUDgAAGIaug/l6UJueyEOjlln5Iunrf5I/otf5T3mgtHJuHmq13p/Pytrf0X+IdeLYqcXS7/loLatat3U/zs+3oznicD9PcHx4OGLXU/naWivn5jOrNvz07CBr2+L8Plbflo/b9ETE7qcijh359H+vJEEfmgYBFoVSOAAAoEbHjuRB0MbHI1rm5LOUNi0aYBbT0jwMapmdv8Vv29J8JtbHnTyej2+97xMEWI9ErOoLsN7o/9q7DubXvvmXeVjWMjtfoP25eyJaf/jR2w9bZufXsuVXeXg1lEcgYYj0oWkQYFEohQMAAGp0oDMPdvoexRvKW/1eeOKjmVg7miO63z3zmL29+dpV7Q8N702BO5ojnrs3nwW2o/nsNxGe7sPD+eOAO5rzxxs7/uHUzK8f5H92PPLRY48vrzXzisLpQ9MgwKJQCgcAANTg+NGIHcsj1j6YB01DXQx9R3P+uF7L7Igtv454bePZx351fb5GVcusiOd/Vlt4tfXJfL/1/xix+/cDr7V1uqOH8rcK7lxx5rF2/S7ijS150AWfAn1oGgRYFErhAACAGry9O38McOXciI6HawuZ+vZr/1H/bwo88nY+7tm78q2WY3f8Q/4447bFEW/trO2eensjTnyYz7Q6cSz/N3yK9KFpEGBRKIUDAABq8NKzERsezWc79T1mV8vW/tBH61QdevXMY/f2RuxZnb/RsGXW0AOyjQvy8e0/ymeHHe+uz+8GhkgfmgYBFoVSOAAAoAa7f5/Pdlp92/AWWu98LA+bti2JOLjn7OMffuPUguw/zse1PRCx9Tf9H2v76QvE3xOxfVnEm9vK/51AjfShaRBgUSiFAwAAarDrqYj2hyNWzx9egPX8qdlVW38T8c6L/Z/j4N7T1szqeyPgD/N9X3gin3HV/qN8Da6WWRFt9+fh1asbPP7HeUEfmgYBFoVSOAAAoAZ7VkWseyRfy2r7stoDrA0/PTUDa2nEu/sGPs+hV/J1srYtzmdjrZ6f79e3rZybP4645Vf5cV/fLLzivKEPTYMAi0IpHAAAUINX10dsWnTqTYE/rz3AOn2B9q6D1c91rCvize35rK8dzfmsrc2/zNfe2rY0D7gOPD/4ceAcow9NgwCLQikcAABQgw/eysOkZ74fsebu2sKrzb/Ig6/OxyL2Pj30c/acjHj/tfwNiG9uj3h7V8R7L+dvDoTzkD40DQIsCqVwAABADXp788cIN/xTbbOwti/NA69Vt+aPHr77Up1vBOpHH5oGARaFUjgAAKBG776Uh1DP3Ruxcs7gIda2pfnYltkRGx+P2P1UxMnj9b4LqBt9aBoEWBRK4QAAgBr19uZrT1WCqVkRz92Tvx3w9IXdt/4mX/B99W352wQ3/jxft8qaVSROH5oGARaFUjgAAGAYenryEGv7sogNj+ZrYrXMilg1L+Lp20+9NXB2Hly13Z8vvr7rdxFH3q73lUPd6UPTIMCiUAoHAAAMU29vxMG9ES+uzGdcbXoiouORiPaHItofjlj/k4hti/PPXlkXcfT9el8xnBP0oWkQYFEohQMAAD6h3t6Iw29EvLI+4sWWiJ0rInY9lb9p8K0dEce66n2FcE7Rh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYB1hDt27cvbr755rj00ktj9OjR8fnPfz6amppi/vz50dXVVdh5mpubY+rUqdHQ0BAjR46MhoaGmDp1ajQ3Nw+679VXX1350g62vfTSS4Vd8+kUDgAAAMqkD02DAGsIFi9eHOPGjRswDGpsbIzdu3d/onP09PTEtddeWzV0uu6666Knp2fAYwiwAAAASI0+NA0CrEF0dnbGqFGjIsuyGDt2bMyZMydaW1ujpaUlrr/++jNCrMOHDw/7PLfcckvlWJMnT44FCxZER0dHLFiwICZPnlz5bPr06QMeoy/AmjBhQmzevLnqdvz48WFfazUKBwAAAGXSh6ZBgDWIK6+8MrIsixEjRkRra+tZn8+fP7/yRZk5c+awzrFz584YMWJEZFkWTU1N0d3dfcbnXV1d0dTUVLmOgWZ79QVYf/qnfzqs6yiCwgEAAECZ9KFpEGBV0d7eXvkSTJs2rd8xPT09MWnSpMiyLMaPHz+smU033nhj5TxtbW39jmlra6uMuemmm/odI8ACAAAgNfrQNAiwqpg+fXrlS7B27doBx82bN68ybsWKFTWdo7e3NyZMmBBZlsXEiROrjr300ksjy7JoaGiI3t7esz4XYAEAAJAafWgaBFhV9D0+OGbMmDhx4sSA41pbWytflhkzZtR0jj179gw6y6vPDTfcUBm7d+/esz4XYAEAAJAafWgaBFhVfPGLX4wsy+Lyyy+vOu7dd9+tfFm+9a1v1XSOJUuWVPa96667qo698847K2OXLVt21ud9AdbYsWPja1/7Wvzzf/7PY+TIkXHJJZfE17/+9bj33nujq6urpuurlcIBAABAmfShaRBgDeDo0aOVL8A3v/nNQcePGTMmsiyLK664oqbzPPDAA5XzLFq0qOrYRYsWVcY++OCDZ33eF2BV2xoaGuK5556r6RpP98orr1TdOjo6FA4AAABKI8BKgwBrAG+99VblC/Dtb3970PEXX3xxZFkWl112WU3nOf0thsuXL686trm5uTL2jjvuOOvzv/u7v4srrrgi5syZE8uXL4/Ozs5obW2Nhx56KP7iL/6isu+YMWOis7OzpuvsM1hAdvqmcAAAAPBpE2ClQYA1gP3791e+AFddddWg47/85S9HlmXxla98pabzfO9736ucp6WlperYlpaWythZs2ad9fl777034L69vb3xv//3/67s/9WvfrXfheAHI8ACAADgXCLASoMAawDn4wysofh3/+7fVY6xZs2amvf3CCEAAADnEgFWGgRYAzgf18AaiieeeKJyjDlz5gzrGNUoHAAAAJRJH5oGAVYVX/jCF86rtxAOxZYtWyrHuOmmm4Z1jGoUDgAAAMqkD02DAKuKK6+8srLo+YkTJwYc19raWvmyzJgxo6Zz7Nmzp7LvtGnTqo694YYbKmP37t1b03n6bN26VYAFAADABUMfmgYBVhXTp0+vfAnWrl074Lh58+ZVxq1YsaKmc/T29saECRMiy7KYOHFi1bETJ06MLMuioaFhWAuwR5z5GOLs2bOHdYxqFA4AAADKpA9NgwCrivb29kFnR/X09MSkSZMiy7IYP358HD9+vObz3HjjjZXztLW19Tumra2tkJlTf/VXf1U5zrPPPjvs4wxE4QAAAKBM+tA0CLAG0fcY4YgRI6K1tfWsz09/i+DMmTPP+nzVqlWVz6+++up+z7Fz58646KKLIsuyaGpqiu7u7jM+7+7ujqampsp17Nq166xjtLW1xWuvvTbgffT29sb/+T//p3Itl19++bBncVWjcAAAAFAmfWgaBFiD6OzsjFGjRkWWZTF27NiYO3dutLW1xcqVK89Yk6qxsTEOHz581v5DCbAiIm655ZbKuMmTJ8fChQtj3bp1sXDhwpg8eXLls+nTp/e7/8yZM+Nzn/tcTJkyJe67775YuXJldHZ2RltbWzz00EPxb/7Nv6kcY/To0dHR0VHUr+gMCgcAAABl0oemQYA1BIsXL45x48ZVvhAf3xobG2P37t397jvUAKunpyeuueaaAc+RZVlce+210dPT0+/+M2fOrLpv3/Ynf/InsWbNmiJ+Lf1SOAAAACiTPjQNAqwh2rdvX3znO9+JxsbGGD16dIwfPz6ampritttui66urgH3G2qA1WfZsmUxZcqUmDBhQowcOTImTJgQU6ZMiebm5kGv7/7774+rrroqLr/88vjSl74UI0eOjNGjR8ef/MmfxNSpU+ORRx6Jo0eP1nrrNVE4AAAAKJM+NA0CLAqlcAAAAFAmfWgaBFgUSuEAAACgTPrQNAiwKJTCAQBAUo4diTj0SsTBvfn2/oGI45/ush3AmfShaRBgUSiFAwCAC15vb8Th1yP2t0fsaM63bUsiti099e/lEa9uiDjyTr2vFJKgD02DAItCKRwAAFzQjndHvPRsHlS98HhE630RLbMjWmbl28q5EWsfjNj8y3zM/o6Ik8frfdVwQdOHpkGARaEUDgAALljHjkS82BKx5dcRz3w/D6xWz49Y90hE52P51vFwxKp5+Wdr7o7YtjgPvIRY8KnRh6ZBgEWhFA4AAC5IJ49H7Fmdz6xaNS8PrjYujNi+7KPHCPu27UvzMGvVvIinb4/Yujji5bX5o4dA4fShaRBgUSiFAwCAC9JbO/N1rlbf9lEo9fHg6uPbll/lIdazd+X/PvRqve8CLkj60DQIsCiUwgEAwAWnpydi9+8j1v9j/mjgll8PHl71bS8szPfZuDBiX2u97wQuSPrQNAiwKJTCAQDABef9A3kY9fTtEc/dO/Twqm975o6I5+7J/370UL3vBi44+tA0CLAolMIBAMAF50BnxKYn8plULyysPcDa8NP8TYVbf5M/iggUSh+aBgEWhVI4AAC44Ly8Nl+UvWVWxLaltQdYm3+R77tpUcTrm+p9N3DB0YemQYBFoRQOAAAuOPtaIzY8modQ/b11cNAA61enZm89HvHaxnrfDVxw9KFpEGBRKIUDAIALzv6OiOd/lodQW5+sPcB64fF8382/jHhja73vBi44+tA0CLAolMIBAMAF583tEVsX5+tYrftx7QFW2wMRq27NZ2+9t7/edwMXHH1oGgRYFErhAADggvPhB3kQ1frDiNW31fYY4bbFESvnRHQ8ErHrdxEnT9T7buCCow9NgwCLQikcAABckPZ3fPQmwvX/WNvsq743EL6xpd53ARckfWgaBFgUSuEAAOCCdOTtPJBqf/hUiPWT6sHV9mUR7T/Kx254NGLnb/OZXEDh9KFpEGBRKIUDAIAL1tu7ToVYD+XB1LN3RXQ+FrF96WmPDC6J2PDTiGfuyGde9c3WOvRqva8eLlj60DQIsCiUwgEAwAXtrR15IPX8zyPW/CAPslbOjXj69nxbOScPrp67J3/74I7lEe+9XO+rhguaPjQNAiwKpXAAAHDBe/9AxN6n8yBr8y8j1j2Sz8pqfyh/S+GWJ/PP9rVGHHmn3lcLFzx9aBoEWBRK4QAAIBldByMOdEa82BKxc0X+lsE9qyJe3xRx9FC9rw6SoQ9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAwDnn5PGID96MOPRKvh1+I+L40XpfFVAQfWgaBFgUSuEAAOCccfRQxOubInauiNjR/LFtecSrGyKOvFPvqwQ+IX1oGgRYFErhAACg7npORhzozIOqLU9GtD8cserWiJbZ+bZqXsTaByM2/zIf83JbxIkP633VwDDpQ9MgwKJQCgcAAHV18kTEvtaIbUsiWu/LA6uVc/LAav1P8q39R3mI1TIrYs0P8pBrz6qI4931vnpgGPShaRBgUSiFAwCAuuntjXhlXR5ePfP9PLha/5P83x9/hHD70ojOx/KZWatujdjy64i9z+QBGHBe0YemQYBFoRQOAADq5v3X8nBqzd0RK+dGbP5FP2tffWzb+mTE6vkRT98esW1pxNu7630XQI30oWkQYFEohQMAgLp5eW3EC4/njwY+//PBw6u+bfOv8n02/DTixZZ8Jhdw3tCHpkGARaEUDgAA6uLDw3kY1XpfPptqqOFV3/bcvRHP3JH//fAb9b4boAb60DQIsCiUwgEAQF28vSti6+J80fb1P6k9wNq4MJ+FtWlRxIHn6303QA30oWkQYFEohQMAgLp4fVMePrXMGtraVx/fti3N9+18LH8UEThv6EPTIMCiUAoHAAB18drGj9a/2vyr2gOs7ctOrYP1aMS+5+p9N0AN9KFpEGBRKIUDAIC6eGNrxKZf5CHUC0/UHmBt/c2pxd9/FrG/o953A9RAH5oGARaFUjgAAKiLd/fljwGumhex9qHaA6z1P8nXz9ryZMSb2+p9N0AN9KFpEGBRKIUDAIC6OHk8YueKiPaHI1bOidi2pLYA6+nb8zcY7mjO32gInDf0oWkQYFEohQMAgLp5fVM+g6pldkT7j4YeXm149NSjh49bwB3OQ/rQNAiwKJTCAQBA3Rx9P2LH8oh1/5gHUuseGTy86nwsH9v2QP7vw2/U+y6AGulD0yDAolAKBwAAdfXuvjyIWvdIHkw9e1ceUm1feuYbBzcuiHjunnxM6/35z6x9BeclfWgaBFgUSuEAAKDuDu7Jg6qNCyLW/CAPqVbNi3j2zjzQWnVr/rNnvp8/PrijOeL1zRG9vfW+cmAY9KFpEGBRKIUDAIBzwuE3IvY+k4dTm3+ZL+7edn8+26r9RxGbnsg/e3FlPmsLOG/pQ9MgwKJQCgcAAOeUroMRBzojdj310SOEu34Xsb8jD7nMuoLznj40DQIsCqVwAABwzurtjejpqfdVAAXTh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAIbl+NGI9/ZHvPNixNu7Ig7ujeg6WO+rAs4D+tA0CLAolMIBAEBNug5GHOiM2LE8YvuyiK2LI7Y8GbFtacSO5oi9T+dh1snj9b5S4BylD02DAItCKRwAAAxJz8lTwVVzxOZfRqx9MGLl3IiWWR9tz94V0flYHmbtfsqMLKBf+tA0CLCGaN++fXHzzTfHpZdeGqNHj47Pf/7z0dTUFPPnz4+urq7CztPc3BxTp06NhoaGGDlyZDQ0NMTUqVOjubl52Md84YUXYsSIEZUv9NVXX13Y9X6cwgEAwKB6Tka8vDYPpp67Nw+rVs2L6Hg44vmfR2xcELHh0Yg1P/josxcej9j524gjb9f76oFzjD40DQKsIVi8eHGMGzeu8oX4+NbY2Bi7d+/+ROfo6emJa6+9dsBzZFkW1113XfT09NR83L/4i7844zgCLAAA6upAZx5ePXNnxMo5eVi1/dQjgx/fNv8yYs3dES2z82Br1+8iPjxc7zsAziH60DQIsAbR2dkZo0aNiizLYuzYsTFnzpxobW2NlpaWuP76688IsQ4fHv7/kN5yyy2VY02ePDkWLFgQHR0dsWDBgpg8eXLls+nTp9d03LvvvjuyLIuLL75YgAUAQP11HcyDqdb78vBq06L+g6vTt+19M7Xm5IHWq+vrfRfAOUQfmgYB1iCuvPLKyLIsRowYEa2trWd9Pn/+/MoXZebMmcM6x86dOyuP+DU1NUV3d/cZn3d1dUVTU1PlOoY62+uVV16Jf/bP/ll85jOfiZ/+9KcCLAAA6u/A83kI1TIrn3k1WHjVt21bGrHq1oi2B/IF3493D34uIAn60DQIsKpob2+vfAmmTZvW75ienp6YNGlSZFkW48ePj+PHa387yo033lg5T1tbW79j2traKmNuuummIR33b/7mbyLLsvj7v//7eOmllwRYAADU14kP83Ws2h/K17Ua6LHBgbaOf8gXet+2JOKtnfW+G+AcoQ9NgwCriunTp1e+BGvXrh1w3Lx58yrjVqxYUdM5ent7Y8KECZFlWUycOLHq2EsvvTSyLIuGhobo7e2tOnbRokWRZVl84QtfiHfeeUeABQBA/R16JQ+iVs6NaH+4tvBqR3PE1ic/mrn10rP1vhvgHKEPTYMAq4q+xwfHjBkTJ06cGHBca2tr5csyY8aMms6xZ8+eQWd59bnhhhsqY/fu3TvguEOHDsWXvvSlyLIsHnnkkYgIARYAAPV3cE/EtsV5CNX5WO0B1o7miNW35TOxdv++3ncDnCP0oWkQYFXxxS9+MbIsi8svv7zquHfffbfyZfnWt75V0zmWLFlS2feuu+6qOvbOO++sjF22bNmA46ZNmxZZlsWVV15ZmaklwAIAoO7eeTFi66kA6/mfDzPAmp/P3tr1VL3vBjhH6EPTIMAawNGjRytfgG9+85uDjh8zZkxkWRZXXHFFTed54IEHKudZtGhR1bF9jwVmWRYPPvhgv2PWrFkTn/nMZ+Kzn/1sbNmypfLzogKsV155perW0dGhcAAA0L939+WLsbfMilj/k9rDq+1L8zcXrnskYs+qet8NcI4QYKVBgDWAt956q/IF+Pa3vz3o+IsvvjiyLIvLLruspvOc/hbD5cuXVx3b3NxcGXvHHXec9fmxY8fiz//8zyPLsvjud797xmdFBVh9xxjKpnAAAHCG7nfzIGrN3RHP3ll7gPX8z/Lwa9MvIl7dUO+7Ac4RAqw0CLAGsH///soX4Kqrrhp0/Je//OXIsiy+8pWv1HSe733ve5XztLS0VB3b0tJSGTtr1qyzPv9//+//RZZl8S/+xb+Irq6uMz4TYAEAcE546dn88cG+IKqWAGvNDyKevSv/+5G3630nwDlCgJUGAdYAzrcZWDt27IjPfe5zkWVZLFmy5Kx9PUIIAMA54b2XI7Yvi1h1ax5GbV86tPCq87GPFn/fszpikLdyA+kQYKVBgDWA82nDxl0sAAAgAElEQVQNrN7e3vjLv/zLyLIs/vN//s/97msRdwAAzgknT0S82BKx6YmIltn544TblgwhvJod0frD/N/vvVzvuwDOIfrQNAiwqvjCF75wXryFsLW1tfLz22+/PRYsWHDWds8991TGfO1rX6v8fPPmzTVd72AUDgAABtX9XsTOFREbH49YOTdi1byIjocjtjx55oLtnY/ls7RaZuXh1balEa9vqvfVA+cYfWgaBFhVXHnllZFlWYwZMyZOnDgx4LjTA6QZM2bUdI49e/ZU9p02bVrVsTfccENl7N69eys/X7VqVU1rU52+zZw5s6brHYzCAQDAkHQdjNj1VMSWX0esfTAPslpm5WHW6tvytw22zMoDrM7H8lDr9U0eHQTOog9NgwCriunTp1e+BGvXrh1w3Lx58yrjVqxYUdM5ent7Y8KECZFlWUycOLHq2IkTJ0aWZdHQ0BC9p/0PtwALAIDz0rEjEQc6I3Ysz2dXbfiniI5HItofjlj344jNv8yDq71PR7y3v95XC5yj9KFpEGBV0d7ePujsqJ6enpg0aVJkWRbjx4+P48eP13yeG2+8sXKetra2fse0tbVVxtx00001n8MaWAAAnLNOfBjxzosRL62JeHFlxO7f5wu1H+iMOPJOva8OOMfpQ9MgwBpE32OEI0aMiNbW1rM+P/0tgv3NZjp9dtRAwdHOnTvjoosuiizLoqmpKbq7u8/4vLu7O5qamirXsWvXrprvQ4AFAADAhUgfmgYB1iA6Oztj1KhRkWVZjB07NubOnRttbW2xcuXKM9akamxsjMOHD5+1/1ACrIiIW265pTJu8uTJsXDhwli3bl0sXLgwJk+eXPls+vTpw7oPARYAAAAXIn1oGgRYQ7B48eIYN27cgOtINTY2xu7du/vdd6gBVk9PT1xzzTVV16u69tpro6enZ1j3IMACAADgQqQPTYMAa4j27dsX3/nOd6KxsTFGjx4d48ePj6amprjtttuiq6trwP2GGmD1WbZsWUyZMiUmTJgQI0eOjAkTJsSUKVOiubn5E12/AAsAAIALkT40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAABAmfShaRBgUSiFAwAAgDLpQ9MgwKJQCgcAAABl0oemQYBFoRQOAAAAyqQPTYMAi0IpHAAAAJRJH5oGARaFUjgAAAAokz40DQIsCqVwAAAAUCZ9aBoEWBRK4QAAAKBM+tA0CLAolMIBAHAB6zoY8frmiFfWR+xvj3h1Q8RbOyKOHan3lQEJ04emQYBFoRQOAIALTE9PxLv7IvY+E7GjOWLLryI2/jyi87GIjQsiti7Of76/I+KDN+t9tUCC9KFpEGBRKIUDAOACcvJ4xMtrI7Yvi3j+ZxFrfhDRMutj2+yI1h9GbHoiD7Le3BbR21vvKwcSog9NgwCLQikcAAAXiJMnIl5ak8+wevauPKx69q585tXWJyO2LYnY8uuIdT+OWH1b/vnaB/Ow6/XN9b56ICH60DQIsCiUwgEAcIF4dX0eUj1zR8SqeREvnJph1d+2fVnEhp/mIVbr/fnP3n2p3ncAJEIfmgYBFoVSOAAALgBH389DqNb7IlbOjdj8y4HDq9O3zsfyEGvDTyN2/z5fPwvgU6YPTYMAi0IpHAAA54BjRyKOvB1x+PX8zw8/qG3/1zdHbHkyX99q/U+GFl71bc/dG/H07fnf3z/w6dwfwGn0oWkQYFEohQMAoE56evLA6OW2/oOlfc9FHHoloudk9eOcPBGxc0VExz9ErJyTP0ZYS4D1wuP5LKwXHs+vBeBTpg9NgwCLQikcAAB1cOSd/JG9Hc0RGxfms6BW3Zo//rfq1ojn7onYuCD/fPdTER+8OfCxug7m456+PaLtgdrCq75t9fx8Qfcdy72REPjU6UPTIMCiUAoHAEDJDr8esfO3eXD19O357Kenb4/oeDh/Q2DHwxHPfD//+er5Ec//PA+WDg3w/9UOv56HUCvn5vsPJ8Bac3ceou1ojjh5vNzfB5AcfWgaBFgUSuEAAChR18E8vOp8LF+vas3dA78tcNMT+UysltkRGx7NQ6wP3jr7mH0B1ioBFnB+0IemQYBFoRQOAICS9PZG7Fl9as2p2RFt90dsX1Y9WNq+LH+0r2V2/kjhiy1nvynwjEcI7689vNq+LGL1bR4hBEqjD02DAItCKRwAACU58nYeGD17V8Szdw4eXp0eMK25O+KZO/J/H379zOOePBGx63cR6x45tYj74toCrI0LP1rEfX97fX43QFL0oWkQYFEohQMAoCSvro/Y9Is8LHr+58WGTG9sjdj6m3ym1vp/rO3Yz907cDgG8CnQh6ZBgEWhFA4AgBKcPJE/nrf2wfwtg0OdfXXGY37zI1p/mP/7xIdnHv/Dw/nPW+/PZ2Ft/sXQjrvh0TwY2/Bo/48nAnwK9KFpEGBRKIUDAKAEx4589PhgXwhV69b2QP52wh3NEUcPnX2OA89HbFuaj1k5N5+1NWAgtjRf8L1l1qm1r5oj3nu5/N8LkCR9aBoEWBRK4QAAKMHR9/OQ6Jnv50HUcAKs9ofyhdp3NOcLt39cz8mIfa35GlhrfpCHU8/cEbHhpxFbfhWx9cl8ZlbHP+SzwFpmRbT/KD/em9vK/50AydKHpkGANUT79u2Lm2++OS699NIYPXp0fP7zn4+mpqaYP39+dHV1FXae5ubmmDp1ajQ0NMTIkSOjoaEhpk6dGs3NzYPuu3r16pg7d25MnTo1/vzP/zwuvvji+OxnPxvjxo2Lyy67LP7bf/tvsX79+sKutT8KBwBACY515UHRmh/ka04NawbW/RHP3HlqBtb7/Z/n5ImIV9Z9tG7Wc/fk62K1zPpoWzk3n3W1+Zf5uLd3lfu7AJKnD02DAGsIFi9eHOPGjat8IT6+NTY2xu7duz/ROXp6euLaa68d8BxZlsV1110XPVXWEWhoaKi6f5Zl8ZnPfCb+x//4H1WP80koHAAAJejpidi5Ip/9tHJOxLYlNa6BtTRi1bx8FtbO30acPD7wuXp7Iw69ms/G2tEcseXJfPH3jQvyP7ctydfjenVD/zO5AD5l+tA0CLAG0dnZGaNGjYosy2Ls2LExZ86caG1tjZaWlrj++uvPCLEOHz487PPccsstlWNNnjw5FixYEB0dHbFgwYKYPHly5bPp06cPeIzGxsb4xje+Ef/3//7f+NnPfhYrV66M9evXx9KlS2PGjBnxx3/8x5XjfPe73x32tVajcAAAlOT1zXmY1DI7Yv1PaguwOv8pnz215Vf5WldDdfRQxJvb831eXR/x2gsR77wYcfzop3efAIPQh6ZBgDWIK6+8MrIsixEjRkRra+tZn8+fP7/yRZk5c+awzrFz584YMWJEZFkWTU1N0d3dfcbnXV1d0dTUVLmOgWZ7nThxoup53nnnnfhX/+pfVY7zzjvvDOt6q1E4AABK0rcO1nP3RKy+LWLr4qGFV9uW5Gtfrbl74PWvAM4j+tA0CLCqaG9vr3wJpk2b1u+Ynp6emDRpUmRZFuPHj4/jx6tMvx7AjTfeWDlPW1tbv2Pa2toqY2666aaaz9Fn3rx5leMsXbp02McZiMIBAFCil9dGbPl1/jjgM98fPMTatjh/c+HKufmaVS+tqfcdAHxi+tA0CLCqmD59euVLsHbt2gHHnR4KrVixoqZz9Pb2xoQJEyLLspg4cWLVsZdeemlkWRYNDQ3R29tb03n63HfffZVr/cUvfjGsY1SjcAAAlOh4d8Tu30dsWpSHWKtujVj347ODrG2LI9b/Yz5Ta+XcfO2qXU9FHDtS7zsA+MT0oWkQYFXR9/jgmDFjqj6e19raWvmyzJgxo6Zz7NmzZ9BZXn1uuOGGyti9e/fWdJ6IfLbY1772tcoxtmzZUvMxBqNwAACU7Oj7ES+25DOxWu8/9ZbA2flMq+fuzd9U2Pez1vvyda92PxXR/V69rxygEPrQNAiwqvjiF78YWZbF5ZdfXnXcu+++W/myfOtb36rpHEuWLKnse9ddd1Ude+edd1bGLlu2bEjHP3nyZLz66quxZMmS+Mu//MvK/n/1V39V03UOlcIBAFAHx7sjXln30WyrdT/Ow6o19+R/rnskYutv8s/3d5h5BVxQ9KFpEGAN4OjRo5UvwDe/+c1Bx48ZMyayLIsrrriipvM88MADlfMsWrSo6thFixZVxj744INVx/aN62/76le/GgcOHKjpOvu88sorVbeOjg6FAwCgXo4dyd8SuPupMx8h3PVUxJvbIj78oN5XCFA4AVYaBFgDeOuttypfgG9/+9uDjr/44osjy7K47LLLajrP6W8xXL58edWxzc3NlbF33HFH1bH9BVejR4+OBx54ID788MOarnGw4w60KRwAAHV08kTE8aP5nwAXMAFWGgRYA9i/f3/lC3DVVVcNOv7LX/5yZFkWX/nKV2o6z/e+973KeVpaWqqObWlpqYydNWtW1bGbN2+OzZs3x8aNG2PFihVxyy23xPjx42PMmDHxP//n/xzW2xIjBFgAAACcWwRYaRBgDeB8n4HVn/3798e//Jf/MrIsi7/+67+OkydP1nwMjxACAABwLhFgpUGANYDzfQ2sgZwegj300EPDOkY1CgcAAABl0oemQYBVxRe+8IXz/i2EH3fy5MkYNWpUZRZW0RQOAAAAyqQPTYMAq4orr7wysiyLMWPGxIkTAy9+2draWvmyzJgxo6Zz7Nmzp7LvtGnTqo694YYbKmP37t1b03lON2HChMiyLBobG4d9jIEoHAAAAJRJH5oGAVYV06dPr3wJ1q5dO+C4efPmVcatWLGipnP09vZWAqWJEydWHTtx4sTIsiwaGhqit7e3pvP0OXbsWIwcOTKyLIuvfvWrwzpGNQoHAAAAZdKHpkGAVUV7e/ugs6N6enpi0qRJkWVZjB8/flhv97vxxhsr52lra+t3TFtbW2XMTTfdVPM5+jzxxBOV41x99dXDPs5AFA4AAADKpA9NgwBrEH2PEY4YMSJaW1vP+vz0twjOnDnzrM9XrVo1aGC0c+fOuOiiiyLLsmhqaoru7u4zPu/u7o6mpqbKdezateusYzz11FOxe/fuqveydevWuOSSSyrX09LSUnX8cCgcAAAAlEkfmgYB1iA6Ozsri56PHTs25s6dG21tbbFy5coz1qRqbGyMw4cPn7X/UAKsiIhbbrmlMm7y5MmxcOHCWLduXSxcuDAmT55c+Wz69On97j9z5sy46KKL4utf/3p8//vfj6eeeio6Ozujo6MjFi1aFNdff338wR/8QeU411xzTVG/ojMoHAAAAJRJH5oGAdYQLF68OMaNG1f5Qnx8a2xsHHD201ADrJ6enrjmmmsGPEeWZXHttddGT09Pv/vPnDmz6r5920UXXRT/63/9rzh58mQRv5qzKBwAAACUSR+aBgHWEO3bty++853vRGNjY4wePTrGjx8fTU1Ncdttt0VXV9eA+w01wOqzbNmymDJlSkyYMCFGjhwZEyZMiClTpkRzc3PV/Q4dOhQLFiyIadOmxRVXXBF/+qd/GqNGjYrPfe5zcckll8S//bf/NmbMmBEvvvhirbdeE4UDAACAMulD0yDAolAKBwDAEJ08HtH9XsSRdyK6DkYcG/g/igIwMH1oGgRYFErhAAAYRNfBiAPPR+z8bcSO5jO3fc9FHHoloufTWe4B4EKkD02DAItCKRwAAAM41pUHVDuaI7b8KqL9oYhnvh+x+raIp2+PeO6eiI0L8s93PRXx/oF6XzHAeUEfmgYBFoVSOAAA+nH0/YjdT+XB1Zq7I1pmRayaF9H2QET7w6fCrDvyn6+eH9H5WB5kHdxT7ysHOOfpQ9MgwKJQCgcAwMcc7454sSVi06KIVXNPBVT/FLF96dmPEG56IuK5e/Mga90j+c8OvVrvOwA4p+lD0yDAolAKBwDAx7y6IWLLk/mMq2fvjNi2+Ozg6uNbxz/kIdaGRyN2rsgXfAegX/rQNAiwKJTCAQBwmuPdETuW548KrpoXsXUI4VXf1vrDfMbWtqURB/fW+04Azln60DQIsCiUwgEAcJq3dkZsWxKxcm4+q2qo4dWO5ojNv8pnYXU+FrFndURvb73vBuCcpA9NgwCLQikcAACn2bMqYv1P8iBq65O1BVg7miPW/CDi2bvyv3e/W++7ATgn6UPTIMCiUAoHAMBp+h4ffOb7tYdXO5oj1v04n721ozni/dfqfTcA5yR9aBoEWBRK4QAAOKXn5EdrWfXNoqp12/DTiJbZ+d/f21/vOwI4J+lD0yDAolAKBwDAaXYsj1j7YMQzd5iBBfAp0YemQYBFoRQOAIDT7FkdseHRfA2sLb+uPcB69s6INXfnfz96qN53A3BO0oemQYBFoRQOAIDTvPNixLal+Syq9odrC682/SIPvp7/ecRLz9b7TgDOWfrQNAiwKJTCAQBwmhMfRuz8bUT7Q3mItWWIbyLcviziuXsjVt2a//29l+t9JwDnLH1oGgRYFErhAAD4mNc2Rmz9TcTq2yKevj1i6yAh1vZl+ZsLW2bns692PRVx8kS97wLgnKUPTYMAi0IpHAAAH3PiWL4W1pZf5TOqVs3LF2ffuvjs4Or5n+VvLGyZna+dtWN5xAdv1vsOAM5p+tA0CLAolMIBANCPY115iLX1NxGt9+cBVcvsfIH21h9GtN6Xh1sts/IAa+PCPLw69Gq9rxzgnKcPTYMAi0IpHAAAAzjxYcSr6/PZVtsW57Ow1tyTB1Zr7o5Y+2C+cPuO5jzsOvJ2va8Y4LygD02DAItCKRwAAIM4diTize352lZnrH+1PA+4jrwd0dtb76sEOG/oQ9MgwKJQCgcAwBD19kYcPxrx4QcRx7sjek7W+4oAzkv60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYBFoVSOAAAACiTPjQNAiwKpXAAAABQJn1oGgRYFErhAAAAoEz60DQIsCiUwgEAAECZ9KFpEGBRKIUDAACAMulD0yDAolAKBwAAAGXSh6ZBgEWhFA4AAADKpA9NgwCLQikcAAAAlEkfmgYB1hDt27cvbr755rj00ktj9OjR8fnPfz6amppi/vz50dXVVdh5mpubY+rUqdHQ0BAjR46MhoaGmDp1ajQ3Nw+67xtvvBEPP/xw/Nf/+l9j0qRJMWbMmPjsZz8bl1xySXzjG9+Ihx56KLq7uwu71v4oHAAAAJRJH5oGAdYQLF68OMaNG1f5Qnx8a2xsjN27d3+ic/T09MS111474DmyLIvrrrsuenp6+t3/Rz/6UVx00UVV98+yLP7sz/4sXnjhhU90rdUoHAAAAJRJH5oGAdYgOjs7Y9SoUZFlWYwdOzbmzJkTra2t0dLSEtdff/0ZIdbhw4eHfZ5bbrmlcqzJkyfHggULoqOjIxYsWBCTJ0+ufDZ9+vR+9581a1ZkWRYjR46Mv/3bv40HH3wwnn766ejs7IxFixbF17/+9cox/uiP/uhT+1IrHAAAAJRJH5oGAdYgrrzyysiyLEaMGBGtra1nfT5//vzKF2XmzJnDOsfOnTtjxIgRkWVZNDU1nfWYX1dXVzQ1NVWuo7/ZXnfeeWd897vfjbfeemvA89x8882Va/37v//7YV3rYBQOAAAAyqQPTYMAq4r29vbKl2DatGn9junp6YlJkyZFlmUxfvz4OH78eM3nufHGGyvnaWtr63dMW1tbZcxNN91U8zkiIo4dOxZf+tKXIsuy+MM//MMBH0f8JBQOAAAAyqQPTYMAq4rp06dXvgRr164dcNy8efMq41asWFHTOXp7e2PChAmRZVlMnDix6thLL700siyLhoaG6O3trek8ff7Lf/kvlWutNltruBQOAAAAyqQPTYMAq4q+xwfHjBkTJ06cGHBca2tr5csyY8aMms6xZ8+eQWd59bnhhhsqY/fu3VvTefr8p//0nyrHOHjw4LCOUY3CAQAAQJn0oWkQYFXxxS9+MbIsi8svv7zquHfffbfyZfnWt75V0zmWLFlS2feuu+6qOvbOO++sjF22bFlN54mIOH78eOWe/viP/7jm/YdC4QAAAKBM+tA0CLAGcPTo0coX4Jvf/Oag48eMGRNZlsUVV1xR03keeOCBynkWLVpUdeyiRYsqYx988MGazhMRcd9991X2/+///b/XvH9EXhiqbR0dHQoHAAAApRFgpUGANYC33nqr8gX49re/Pej4iy++OLIsi8suu6ym85z+FsPly5dXHdvc3FwZe8cdd9R0nj179sQf/uEfRpZlMXbs2Dhw4EBN+/fpO/9QNoUDAACAT5sAKw0CrAHs37+/8gW46qr/z96dxbaV3fcDV5BBgGTSwRT5oyg8yFMAZwK0CAZwgb6keW77MHlp+9AWUyRtgslb+lBkXhIgniUzWizLi7xK3i3b8m5JXERSG0XtokRSutwlisul9o2ixO37fzgULZmURGquJHvu9wNcxLEuDy9p6LTnm9/5nf/c8/4f/vCHKCsrw49+9KOS3udPf/pT7n0MBsOu9xoMhty9J0+eLPo9YrEYfvrTn+ZeW19fX9IzbsUAi4iIiIiIiF4nDLDUgQHWDr4pFVjJZBL/9E//lHvdxx9/XNLzvYpbCImIiIiIiOh1wgBLHRhg7eCb0AMrk8ng3//933Ov+dd//Vek0+mSnq9UnDiIiIiIiIjoMHEdqg4MsHbxgx/84I0+hfDjjz/O3f+P//iPSCQSJT3bfnDiICIiIiIiosPEdag6MMDaxc9+9jOUlZXh7bffRjKZ3PG+7u7u3C/LH/7wh5Lew+v15l77m9/8Ztd7f/3rX+fu9fl8u977f//3f7l7/+Ef/gFra2slPdd+ceIgIiIiIiKiw8R1qDowwNrFJ598kvsl6Onp2fG+L774InefVqst6T0ymQyOHTuGsrIyvP/++7ve+/7776OsrAzvvfceMpnMjvedPHky9zx/93d/h+Xl5ZKe6evgxEFERERERESHietQdWCAtYve3t49q6PS6TR+8pOfoKysDO++++6+tult3epnsVgK3mOxWHL3/Pa3v91xrOrq6tx9f/u3f4u5ubmSn+fr4MRBREREREREh4nrUHVggLWHzdzosQUAACAASURBVG2Eb731Frq7u/N+vvUUwT/+8Y95PzeZTLmff/TRRwXfw+l04tvf/jbKyspw4sSJvO1+a2trOHHiRO45XC5XwXHq6urwrW99C2VlZTh+/DhkWS75835dnDiIiIiIiIjoMHEdqg4MsPYwNDSE7373uygrK8P3v/99fP7557BYLDAajdt6Uh0/frzgVr1iAiwA+P3vf5+774MPPkBDQwP6+/vR0NCADz74IPezTz75pODrHz9+nAvB3nnnHbS0tMBms+16ra6uKvU15XDiICIiIiIiosPEdag6MMAqwrNnz/DOO+/kfiFevY4fPw63213wtcUGWOl0Gr/85S93fI+ysjL86le/QjqdLvj6jz76aNfXFrpMJpMC3852nDiIiIiIiIjoMHEdqg4MsIo0MTGB3/3udzh+/Di+973v4d1338WJEyfw5ZdfIhaL7fi6YgOsTU1NTfjwww9x7NgxfOc738GxY8fw4Ycform5edfXMcAiIiIiIiIiNeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERERERHRYeI6VB0YYJGiOHEQERHRN0kqncFyPIH51Q0sxDYQ20ge9SMREdEruA5VBwZYpChOHERERPRNsLKehBRZhlGKQu+Qt11mzwwCczEkUumjfkwiIgLXoWrBAIsUxYmDiIiI3mSJVBrDgQXoHTKabWHc6pnAeZMbNa0unDG4cbHdgwcDAejsERjHo5iYXT3qRyYiUj2uQ9WBARYpihMHERERvaniiRTMnhm02MK40ulFpU5CpVbClQ4vrpv9uGb2o9bkQblGQrXeiTs9k9A7ZIxHlo760YmIVI3rUHVggEWK4sRBREREb6JkKg2LdxZNo2HUtLpwSicCqhZbOG8L4XNrCHVdPpRrJNR1+qB3yPBMrxz1RyAiUi2uQ9WBARYpihMHERERvYnc0RVobGGcMbhxWu/Ci5FQXnD16nWvL4ByjYQb3X7oHTKW44mj/hhERKrEdag6MMAiRXHiICIiojdNOp1Bm3Mad3omUamV8Ny6d3i1ed2yTKBCK6FpNIyxMLcSEhEdBa5D1YEBFimKEwcREREdqsQaMO0EJnsAXwfg7xR/nnEDiXhRQ4QX16B3yKhpdeFKh7fo8ErvkKGxRVClc+KGxQ/jeJQnExIRHQGuQ9WBARYpihMHERERHYq1BSA4AEgtwNhzYOgWMFAvrqFbwNgL8bPQEBDfvTJqcHIej4aCKNdIeDwULCnA0jtk1Hf5UN3qhM4RQWhh7VA+PhERvcR1qDowwCJFceIgIiKiA7cYBJwaYLQRsNQChs8Aw0nA+Blg+DT758+BnguA7aG4dzmy43Bmzwzu9EyiSucsObzSO2Q0DkyhXCOh2RaGb2b1EL8IIiICuA5VCwZYpChOHERERHSglkKA1AwM3hBhlenPQN8VwPFE/L3UDNifAH2XAdMX4p6hW+Lvl+WCQ3a4pnHT4ke1fn8B1qNBEWC9GAnBHV0+5C+EiIi4DlUHBlikKE4cREREdGDiS6KaavCGqLLquQCMv3gZXL16jb8ALOfFvcO3AacW2MivkNqswKrUStDZI6zAIiJ6w3Adqg4MsEhRnDiIiIjowIRHAPtjUVVlqd05uNoWYjUB3efEaxxPAdmRN+xwYAFPsj2wHg1OlRxgXe304XSrCzpHBJHF4hrHExGRcrgOVQcGWKQoThxERER0IJIbovqq97LobzW2S+XVq9fYM9Efq/8q4NIBqeS2oaNLcegdMs4a3bjUXtophC2jYVRqJdzumYBJiiKVzhzRF0REpF5ch6oDAyxSFCcOIiIiOhBzPhFamT4Hei8WH15tXpZa0S9rvAlYCGwbOp3OoMM1jbt9k6jQSng6XPxJhNfNflTqJLTYwnDK7H9FRHQUuA5VBwZYpChOHERERHQgQkOA9Z7oZ2VrLD3AGrkvXjv6AIiM5g3vm1mFzh7BeZMb1Xonng2H9gyv7vRMolwjqq9ax2TENpIFHpyIiA4a16HqwACLFMWJg4iIiA5EoE+cJmg4KbYElhpg2Z+I11rvAsHBvOHT6Qz6/XNosYVxzuhGlc6JG91+NI2E84Krx4NBXGr3olwj4Ua3H3qHjMnZ2BF8KUREBHAdqhYMsEhRnDiIiIjoQEz1A8N3RAjl2E+A9TgbYN0T1VwFJFJp9PnnoLVHcM3sR5XOiQqthAttHlzt8OFKhxdnDC6UayTUGFy41x+A3iHDM71yyF8GERFtxXWoOjDAIkVx4iAiIqIDEbaK7X+Gk8BIQ+kB1mb4ZXsIyPYd3yaVzsARWkLrmAytPYKGvgAutXtRa3Kjts2DK51ePBoSPbLandMIL64d4pdARESFcB2qDgywSFGcOIiIiOhALIVEENVeDnSfLT3A6joNdFSKP69E93y7eCIF7/QKOlzTeVsI+/1ziCzGkeaJg0RErwWuQ9WBARYpihMHERERHYh0GnC3AgP12W2ET0rYPvhIvGbwBuA1AZnig6dMJoP1ZAqr60nENpJIpNIH9QmJiGifuA5VBwZYpChOHERERHRgpp2igbvpz6Kaauz53uHV2DOgowJo+xIYewHMeo76UxARkcK4DlUHBlikKE4cREREdGCSG4DHIHphGT8XIZbt4c7h1Wij2HJo+lzc5zUBqcRRfwoiIlIY16HqwACLFMWJg4iIiA5UfAlw6UU4Zfqz2BrYeQoYugmM3gdG7outgp1V4mdtX4nwyq0HNlaP+umJiOgAcB2qDgywSFGcOIiIiOjArS8DHiMw3gQM3RIBluHk9qvrtDh5cLwJ8LYxvCIi+gbjOlQdGGCRojhxEBER0aFIJYF5P+BrF9sFHU9FpZXtIeB4Jv7O3wksTALp1FE/LRERHSCuQ9WBARYpihMHERERHbrVWWDGDUTHxDXjBmJzR/1URER0SLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERERERER0mLgOVQcGWKQoThxERESUZ30FkB2Atw1w6QGXDvAYgdAQsDp71E9HRERvOK5D1YEBFimKEwcRERHlrM0DgV5AagYcT4GBeqD3MtB7Eei/Ctgeip/52oHF4FE/LRERvaG4DlUHBlikKE4cREREBABYCgFODTD6AOg+Cxg+FVfbV0B7OWD8DDCcBDpPAcO3RZAVHQMymaN+ciIiesNwHaoODLBIUZw4iIiICMuyCKQGb74MrQbqgbFn4u+lZmD8BTB0SwRYhpOApRYYbwKi40f99ERE9IbhOlQdGGCRojhxEBERqVxiDXBqRTi1NZjaDK4KXYM3xL09F8R/X44c9acgIqI3CNeh6sAAixTFiYOIiEjlpp2i0srwGdB9bvfgaluIdV2EWNZ7wKTlqD8FERG9QbgOVQcGWKQoThxEREQqlk4Dbj3QXy/CKMfT4gMsqVn0xjLXiD/Hl4760xAR0RuC61B1YIBFiuLEQUREpGJL4ZdBVPfZ0sIrqRkYuCZ6ZtmfALL9qD8NERG9IbgOVQcGWKQoThxEREQqNu0U4ZPhJDB8p/QAa+y5eO3gDW4jJCKionEdqg4MsEhRnDiIiIhUTLYDo40ihBp9UHqAJTUDxs/EFkRfx1F/GiIiekNwHaoODLBIUZw4iIiIVCw6BtgeigBr5P7+AizDSdHQ3d911J+GiIjeEFyHqgMDLFIUJw4iIiIVm/VktwF+CvTXlR5ebVZvWRuAqf6j/jRERPSG4DpUHRhgkaI4cRAREanY+ooIorrPAm1fAeNNpQVYllrA9GfxuoXAUX8aIiJ6Q3Adqg4MsEhRnDiIiIhULtALjNwrvZG742m2/9VVwKUD0qmj/iRERPSG4DpUHRhgkaI4cRAREancckQEUl3VgPFz0ROrmNMHOypF9ZXjGSA7jvpTEBHRG4TrUHVggEWK4sRBRESkcpkMEOgDxp4BHRUixBq6BYy/KBxejdx7ed/oA8BjAJLrR/0piIjoDcJ1qDowwCJFceIgIiIipJLiFMGxZ4C5RmwnNH0B9F0WYdbQLdHkvb1c/Ky9XFRqufRAfOmon56IiN4wXIeqAwMsUhQnDiIiIgIgQqypflFlZXsI9FwQVVaGk9nrU8B8BrDeE/d424CN1aN+aiIiegNxHaoODLBIUZw4iIiIaJvYHBAaAqSWbL+rF6Iya3ML4aQFWAoB6fRRPykREb2huA5VBwZYpChOHERERAdsbQGIjgHBQdFrKjQETDu/dvVSJpPB7Mo6xsJLsAYWMDQ5j9GpRfhmVhFPKHAiYCIOLAaBOR8w5wUWAtwuSEREiuA6VB0YYJGiOHEQEREdgEwGWJwCJsyiasn+BLA2AMO3xX86shVNgT5gJVrS0Kl0BpOzMZjdM9A7ZDwfCeHh4BQaBwJ4NBSExhZG65iMkakFLMQ2DugDEhER7R/XoerAAIsUxYmDiIhIYZu9pMabAOtdoKtG9I/K9ZLK9pPqPitO9JOaAdkuQq89xBMp9HhnobNHcL8/gFqTG+UaadtVpXOi3uzD85EQ9A4ZE7PsU0VERK8XrkPVgQEWKYoTBxERkYLSadEjauw50HVahFUdlcDgDVGFNfYMsD8WJ/q1fSV+bjkvwq6wddeh15MpmN0zaBoN46xRBFcX2jx40B9A82gYLbYwnltDuNHtR7XeiXKNhFs9E9A7ZHinVw7pCyAiItob16HqwACLFMWJg4iISEHhEdH0vKNKnOBnvfuy+fmr13iTCLYMJ0U1ltQMzHoKDpvJZNDvn0OzLYyaVhdO6114OhyE3iEXvLT2CG5aJlCukXCj2w+9Q0Z0KX7IXwYREVFhXIeqAwMsUhQnDiIiIoVsrIoQylILGD8DRh/sHF5tvYZvixCrvx5w6YF0fgP22ZV16B0yats8qNY70TQS3jG82nrd7hEhVuPAFLo9s4f/nRARERXAdag6MMAq0sTEBP73f/8XP/7xj/G9730Pf/mXf4kTJ07gq6++QiwWU+x9mpub8Ytf/ALvvfcevvOd7+C9997DL37xCzQ3N+/52vX1dVgsFtTU1OA//uM/cPz4cXzrW9/K/SIfBk4cRET0JllPpjC/uoHochyzK+tYjieQKaJ3VFESa0BsDliWgdXZ0k8JjI6LLYKGz4D+q8WFV5uX5TzQ9qWoyloI5A1tDSzgmTWIco2EB/2BosKrzeu80Y3aNg/0DplN3YmI6LXAdag6MMAqwrNnz/DOO+/kfiFevY4fPw632/213iOdTuNXv/rVju9RVlaG//7v/0Y6nd5xjP/6r//a9fWHgRMHERG9CeZWNzAytYDWsfyAxuyeweRsDInUzv83d0eZDLAcAQK9hYOlCbM4TbBAVdQ26bSonuqvEw3aN08ZLPYafSCqsKx3AH/XtqHjiRRax2TUdfpQrXdCZ4+UFGDd6wugXCPh+UgItuBi6d8RERGRwrgOVQcGWHsYGhrCd7/7XZSVleH73/8+PvvsM3R3d8NgMOB//ud/toVYy8vL+36f3//+97mxPvjgA9y9exd9fX24e/cuPvjgg9zPPvnkkx3H+Oijj3L3/cVf/AV+/vOf46//+q8ZYBEREWXFNpKweGehd8h4PhJCvdmHmlYXqvVOnG51obbNg/v9AejsERjHowjMlVBlvTYPeIwiQBq5J/pQtX0FmL4Q1VBdNSJQGm8S4dSyvPNY8UUxTkfly35WpV4dFUD3OfHnVDI3dGQxDr1DRpXOmetnVcqltUdwSufETYsfHa7pr/GvQUREpAyuQ9WBAdYefvazn6GsrAxvvfUWuru7837+1Vdf5X5R/vjHP+7rPZxOJ9566y2UlZXhxIkTWFtb2/bzWCyGEydO5J5jp2qvhoYG1NfXw2635yq1fv7znzPAIiIiArAcT6DNOY0XIyHUtolT96r1Tlzr8uOWZQI3uv240ObJ/f3d3knoHTJcchH/A9XKNODUiOCqo0JUP7V9BfReEtv/ei+LMMpwUoRZw7dFsLQwWXi81Rnxc9Ofgb7L+wuwzGfEyYVSs9jOmBWYi0Fnj6BcI+FeX2nbBzevswY3rpn9MIzvEsIREREdEq5D1YEB1i56e3tzvwS/+c1vCt6TTqfxk5/8BGVlZXj33XeRSCRKfp+PP/449z4Wi6XgPRaLJXfPb3/726LHZoBFREQkts11uKbx1BrEKb0TZwwuPOgPQFtg+9xzawh1XT6UayRcM4sKpYnZXfpXxRcBp1ZUVxk+BTpPAdYGUWlVaGuf+YwIsgbqxd8VqsRigEVERFQ0rkPVgQHWLj755JPcL0FPT8+O933xxRe5+7RabUnvkclkcOzYMZSVleH999/f9d4f//jHKCsrw3vvvVd0g1kGWERERIAtuIim0TCq9U6cN7rRYtv71L2G3kmUayTc7plA65iMeGKHvlX+rmzPqc9EaDT+Yu9wqfeSCLGGbwNuveh5tVVuC2HVa7uF8FbPBLcQEhHRa4HrUHVggLWLze2Db7/9NpLJ5I73dXd3535Z/vCHP5T0Hl6vd88qr02//vWvc/f6fL6ixmeARUREareeFE3Lr5n9OKVzomV07/Bq87pm9qNK54TGFoY7upI/+Nq8CIi6TovAqJjwKlchVSO2GUrNwGJw+7jptAi2+uuzTdyfltjE/X62ifvdnZu4d4km7oWq0Ipp4v6CTdyJiOg1wXWoOjDA2sX/+3//D2VlZfjpT3+6633z8/O5X5Z/+Zd/Kek9nj9/nnvtqVOndr23qqoqd29TU1NR4zPAIiKiN1p8EYiMAv5O0SDdaxIn+c24gES8qCF8M6vQ2iP7qjhqHg2jQivhbu8k2p3TSKdfqYAOWwH7YxEWDd4oLWQa2QyZGoCJ/D6bmJaAsWeisqv/amljd58TvbbGm4CFQN7Q1sACnlmDKNdIeNBf2jbC80Y3LrR7oHfIWIhtlP5vSkREpDCuQ9WBAdYO4vF47hfgn//5n/e8/+2330ZZWRn+/u//vqT3qa2tzb3PgwcPdr33wYMHuXsvXLhQ1PhKB1hTU1O7Xn19fZw4iIjo61uWRVAlNQP2J8DANaDvqghyBm8CY88BqQUIDgDxpV2H6vbMoiFbNdQ0Unz11eZ1ucOLMwY39A4ZMyvrLwdOp0Xj9t7LgPFzYKyE6qut2/zMZ8SfN1458XAjJv6+5wJg/ExsUyxmzOHbL3tsufRAOn/r4+zKOvQOGbVtHlTrnUV/L7csEyjXSHg4OAWLd1aBf2giIqKvjwGWOjDA2sH09HTuF+Df/u3f9rz/r/7qr1BWVoa/+Zu/Kel9tp5i2NLSsuu9zc3NuXsrKiqKGl/pAGtzrGIuThxERLQvMy4RxFgbgK4asYXO8Clg+kJchpMiMLLUAraHooH6SnTH4YxSFNfMfpwxuPbVsLyhdxIVWgl6h4zgwstm6EiuZ7cP1ojtgPvpU9V7CWgvF3+OzeU/fGRUBGOdp0SINXxn57HGm4DB6+L72eybNesp+J1kMhn0++fQbAujptWF03oXng4Hd+17daPbj3KNhBsWUcUWXS6uAo6IiOigMcBSBwZYOwgEArlfgP/8z//c8/4f/vCHKCsrw49+9KOS3udPf/pT7n0MBsOu9xoMhty9J0+eLGp8BlhERPRGmXFng53LIojpqBChzNjzl0GN4wnQdyUbZm2GOi3i5L4CNvs9nTO69xVg3e8X1VtaewSTs1uqpDZWswFW9ctm6aVefVfESYNSM7BSoCF6Og1M9ojP33V6+3difyx6Y9keAf11Ysug4aQI9sabgPDIrl/1RjINs3sGTaNhnDW6Ua6RcN7kxv3+AJpGwmgeDePZcAjXs73DNhva6x0yfDO7nMpIRER0yBhgqQMDrB2wAqswbiEkIqIDszK9PbwaqN89/Bl/ISqNDJ+KZuUunaiKeoVJiuJGtx81rfurwLrT87ICK7StAmvjZTP2rtP7C7B6Lu5egQWILYBTAy+r0sybVWknt1yfAd3nX24zlB1AEScWrydT6PXNQWeP4MFAALVtIsjaelXpnLhm9uPFSAh6h7w9xCMiInoNMMBSBwZYO2APrP3hxEFERPs22QOM3BOBTH9dcQHQeJMIdIyfiyqlGXfesL2+OTQOiCqq3bbJ7XRdaPOg1uTOb1qeyYgeU/1XsycFPistvBpvElVTlvPivxcI37a911JINHvf7AtmvSeqz0buiWbvUjMw1V+4kmsX6XQGgbkYzJ4Z6B0yXoyE8GhwCo0DU3gyFITWHoFhXIYtuIjFtURJYxMRER0GrkPVgQHWLn7wgx/wFMISceIgIqJ9WV/Onp539mVFUrGX/Un2FMDrgMcgtt1tMTUfg84RQXWrE3WdvpLCq+fWEMo1Eu73B2D2FNiiGB0TwZXh0+JDt1yz9TviuUcfiAqrYsUXgeg4EBoSrwsNi75hG19/W9/86gakyDJGpxYxHFiALbgI/8wq1pP5jeCJiIheF1yHqgMDrF387Gc/Q1lZGd5++20kk8kd7+vu7s79svzhD38o6T28Xm/utb/5zW92vffXv/517l6fz1fU+AywiIjojSA7RD8nw6d7bx0sdJnPiN5QUrM4wXCLZCoNoxTFrZ4JVGolPLeGigqvdPYILrd7Ua13Qvdq/6tNm32wus+JXlaOp8U979gLoKMS6Kjauf8VERERFYXrUHVggLWLTz75JPdL0NPTs+N9X3zxRe4+rVZb0ntkMhkcO3YMZWVleP/993e99/3330dZWRnee+89ZIroawEwwCIiojfEpAUYvCkqksZK3IonNQPDt8Vr7U+AaWfe8E55GRqbaFZerXfuGWLp7BHUd/lQoZXQOBCAUYoikUoXeHCIbXv2JyLA6qjYO8Qae5FtyP6ZqL7ythXVr4qIiIgK4zpUHRhg7aK3t3fP6qh0Oo2f/OQnKCsrw7vvvotEovTeEB9//HHufSwWS8F7LBZL7p7f/va3RY/NAIuIiN4Ivg6gvx4wfra/ZuijD7Lb8RoB2Z43fDKVRo93NnfiXpXOietbGpNvXlp7BPf7AzhvdKNCK6GhL4DWMRnTy7v0p0rExdbF0UYRYpn+LLYTvtoTa+y52ObYXi56dlkbROP5+NLBfa9EREQqwHWoOjDA2sPmNsK33noL3d3deT/feorgH//4x7yfm0ym3M8/+uijgu/hdDrx7W9/G2VlZThx4gTW1ta2/XxtbQ0nTpzIPYfL5Sr6+RlgERHRG8HfCQxcEyHUfgKskfvitbaHoi9VAevJFHq8s9DYwrhm9qNK50S5RsJ5kxuX27242OZBtV78XW2bB4+GgmgdkxFeXCs43vbBVwCPUVRidZ8X1VWGT4GuarG9seu0COcMn4qm86ONIrxanVX4iyQiIlIfrkPVgQHWHoaGhvDd734XZWVl+P73v4/PP/8cFosFRqNxW0+q48ePY3l5Oe/1xQRYAPD73/8+d98HH3yAhoYG9Pf3o6GhAR988EHuZ5988smOY0QiEdTX12+7fvzjH+de++rP3O78k5q+Lk4cRES0L4E+wJptam5rLD3AGrgmwqGxZ8CsZ8e3SabSsIcWYRgX1VYNfQFc6fTiYrsHl9q9uGb243m2KsvsmcHc6saOY+VJxEVTdalZPEd/nWhK33VahFh9V0TAJTWLLZPr+f9/AxEREZWO61B1YIBVhGfPnuGdd97J/UK8eh0/fnzHMKjYACudTuOXv/zlju9RVlaGX/3qV0ind+i/8cp7FXPV19d/zW8mHycOIiJ1S6bSSO7UK2o3837RG8r0Z6DnQukBVnu5CImk5qK25K0nU/DNrKLTNbNtC6FhXMbo1CLmSwmuXrWxKk4JdOu3P6NLB0Rs3DJIRESkMK5D1YEBVpEmJibwu9/9DsePH8f3vvc9vPvuuzhx4gS+/PJLxGIFTiXKKjbA2tTU1IQPP/wQx44dw3e+8x0cO3YMH374IZqbm/d8LQMsIiI6bJlMBtHlOAYn52EYfxkEtY7JGJiYh7wURzpdRIPyVAJwakWVkvGz0hq5WxtE5Zb1nqhsKlEylUY8kcJGMl30ISlFSyWAxJr4TzZqJyIiOhBch6oDAyxSFCcOIiL1CC2s5SqYngwFcc3sx5UOL650iK14T4aC0DtkdLimEZjb+X/syYnYxBY74+dA5ylRkbVXeGV/DJi+EPdLzcBS6OA/OBEREb1WuA5VBwZYpChOHERE6uCSl6F3yLjfH8A5oxvlGgmn9S5caPPgQpsHNa0ulGsknDW60dAXgN4hYzyytHuFU2JNbLsbuSeaoHdW7dwPa7wJGL4jwqu2r8SJf5MWVjkRERGpENeh6sAAixTFiYOI6JvPM70CvUPGNbMf5RoJF9s9eDgwBZ09sq2fabkN8wAAIABJREFU1KPBKVxq96JcI6Gu0wedIwKXvEfj8rV50Stq9IHoh2U4KaqrBm+IrYLWu6I5etuXL3/meAb42oHk1+hbRURERG8srkPVgQEWKYoTBxHRN9tCbAN6h4wb3SK8auid3BZaFbru9QVQoZVwzeyH3iFjZmV99zeJLwEeQ7bK6jbQVS3Cqtz1KdB9Dhi9nz3Rr0f0mCIiIiJV4jpUHRhgkaI4cRARfbONTC3g+UgI5RoJtywTe4ZXm9fd3kmUayQ8GQ5iaHJ+7zdKJYH5CcDXIUKqseeiP5b9ycveWIE+YFnmtkEiIiKV4zpUHRhgkaI4cRARvcZic0B0HAhbgdAwINuBhQCQThX18ngihdYxGfVmH6r1Tmhf2TK426WzR1DT6sKVTi/0DhmxjWRpzz3nBaadwIwLmPcDG6v7+w6IiIjoG4frUHVggEWK4sRBRPSaSadE4ONrf3lq38g9wHoPGG0U2/RceiA6tmco5JtZhcYWRpXOiZvdxVdfbV63LBOo1ElosYXhjq4czucnIiKibzyuQ9WBARYpihMHEdFrJLEmtuCNNwFDt0TD8229pE6KRun9VwHHU8CpEVvydmALLuLJUBDlGgnPhkMlB1gvslsPHw5OYWRq4RC/CCIiIvom4zpUHRhgkaI4cRARvSYSccBjFBVX7eUvT+wbugXYHgH2R6ISy1IrmqIbPhU/k5qBpXDBIa2BBTwcnEK5RkLzaLjkAEtji6BcI+HBQACDxfTBIiIiIioC16HqwACLFMWJg4joNZBOA/5O0fDc9Geg7SuxXVBqLnyNPROn+hlOAoM3RSXWWn6FlC24iMfZCqwX1tIrsJpHwyjXSGgcmII1wAosIiIiUgbXoerAAIsUxYmDiOg1sBQSwVRHJdD2pdgeuFN4tfXarMYabQSmBvKGdcnLaBoNo0IroaF3suQA635/QIRfIyGMhZeO4IshIiKibyKuQ9WBARYpihMHEanFejKFpXgC86sbWIonsJFMKzZ2PJHC4poYezmeQDJV4tiTFtGk3XBSbBMsJrySmoHxF6Jiy3Je/PeN2LZhF9cS0DtkXGz34qzBXXKAdd7kRm2beN386oZi3xcRERGpG9eh6sAAixTFiYOIvskymQyml9cxNDmfF860jsmwBhYwu7KOTCZT8tjpdAbhxTX0+efyxjaMy7AFF7EYS+w9UHxJhE/mM6L3VbHh1ebVfxUwfCa2FU4784bv9c3l+mA9GpwqOrzabP7+YCCAbs9syd8PERER0U64DlUHBlikKE4cRPRNtRDbQJd7RoQxw0Fc7fTinNGNmlYXzhndqOvy4Zk1CL1Dhtk9g8W1IsKmLHkpjjbnNPQOGY8Gp3Clw4uzW8a+bvajaUQ0Te/zz2FtI7XzYHM+YOyF2Ao4cK30AMvxNNsL6wYwYc4bPrSwBr1DRm2bB6d0zqJOI3xhDaFa78R5kxs6RwSBuViBByciIiLaH65D1YEBFimKEwcRfRNFl+MwjMt4PBTEOaMb5RoJp/Uu1HX5cN3sR12nD9V6J8o1Es6b3HgyFIRxPIrZlfU9x56cjUHvkPFgIICaVhfKNRLOGtyoz459tdOHUzonKrQSLrZ78GIkhHbnNJbjOwRk005x8qDhJGBtKD3AkpoB0xeiEstryhs+k8lgcHIeLbYwzhndqNI5cadnEhpbpOCpgw29kzilc+KMwY0WWxj9/jmk06VXqBERERHthOtQdWCARYrixEFE3zQLsQ0YxkXAVKkTAVXjwBR09u2Bjc4eQePAVC7UaRyYgnE8iqWdgiYAkcU49A4Zt3smUK6RcKndi8dDwbwgSGuL4F6fCLhO6Z14ag2iwzWNeKJAJdYBB1gAkEyl0eubg8YWxpVOLyq0Eqp0TtR1+nC7ZwK3eyZQ1+VDVTZ4u9zhRYstDIt3VtFeYUREREQA16FqwQCLFMWJg4i+STKZDLrcM3g8FESlTsKVDi+09vxKo21hkz2CS+1eVOmceDIchMVbuN9TIpWGcTyKe33iZL4b3f49t+K1jIqqp2q9E02jYYxMLeQPPOcFxp6/3AZYang19uzla/1dO343qXQGo1OL0DtkNI2GcdPiR43BhSqdE1U6J2paXbjR7UfTqNj6OBxYKL0ZPREREVERuA5VBwZYpChOHET0TTK9vA69Q8Y5oxvnTe49w6utIdZZgxu1bR7oHTIWYvkn7k3OxqCzR3BK78SVDm/RzdCbR8Oo1jtRb/ahdUzOr8JamxdBVNdpoKOy9ABroF70z3I8BWTHnt/RcjyBsfASjOPRvGc1jkfhCC3tWoVGRERE9HVxHaoODLBIUZw4iOh1sRDbgD20iD7/HLo9s+j1zcEaWIC8FC+6B9PQ5DyeDIvT8xoHij9xT++Qcb9fVFY9HwnBFlzcNm4mk4HZPfPyHuvejdC3Xje7J1Clc0JjC8MzvZL/4P5OYPiOqKQafVB8eDXeBLR9BXSfFf99vcDYO0im0phb3YC8FIe8FMfc6gYSrLgiIiKiQ8B1qDowwCJFceIgoqOUyWQQXFhDt2cWeoeM5yMhNPQFcKdnEnf7JvEk21+q3TkNz/TKrlvaNpJp6B0y6jp9OK135fW8KqYK65TOiWtmPwzjMlJbQrPFWEKc5Gdy40K2SquUq3k0jAqthLt9k+hyz+Q//ELgZRjVUSG2FBYTYPVdzoZe94FA70H8ExEREREpjutQdWCARYrixEFERyWd7cmkc0TQOBBAbZsH5RoJ5RoJlVop9+czBjfu9k5Ck20qXrAROoCleCK3fbCu01dyyKR3yLjc4c1tI1zbePk+8pJo3l6lc+J2z8S+xj5rcKOuS2wjzP8yUqIBu+0hYPxcbCV0PNml8uoF0JsNr/rrxN+tFu7dRURERPS64TpUHRhgkaI4cRDRUchkMrAGFnIN1Ms14rTA+/2BXN8qnT2Cx4NBXO4Qp+bVGFxoGg3D7J4peDLeQmwDeoeMGoML18x7N1gvdNV1+nDO6IbeIWN5Sx+o4MIa9A4ZFVoJDb2T+xq71uTBlU7RO6vglsj1FcClB0YbAdOfRV+r7nPAyD1RkTX+ArA/ElVXpi/Ez/vrRXg17z+4fywiIiIihXEdqg4MsEhRnDiI6Ch4p1egc0Rwsd2DSu3e/aqeW0OoaXWhptWFZlsYAxNzeWMuH1IF1i3L/iuwNhu572h9GfAYxcmC/fViS6Hh5PbL+DnQc0FUa0ktwPzEAfwLERERER0crkPVgQEWKYoTBxEdtlQ6A5MUxe2eCVRoJTwaLK7ZetOIOM3vYruoYlqMbT8pL5FKo3VMRr3Zh2q9s+gTCDcvrU30wLrRXaAH1lq2B1abB+dN7pLDqxcjIZRrJDT0BWAu1ANrq+QGMO0E3HpRXTVyDxi6BQzeBKx3s/2xWoDgoDjBkIiIiOgNw3WoOjDAIkVx4iCiwxZcWIPOEUFNqwtXS6yUutcnTgFsGgnnnRQIANbAAp5ZxSmED/oDJY3d0DuJCq0Y2x7KH7vbM4vGAfH+z4ZLO4XwutmPKp0I1Xwzq8V9Uek0sBQCQsOiQfukBQgOADNuIBH/uv8MREREREeG61B1YIBFiuLEQUSHrdc3h8aBKZRrJDwdDu6rSup69qTAxCunEs6urGf7TblxzuiG1lZcFZbGFsEZgwsX28X2wcW1RN5zB+Zi0DkiqG514lK7t+hTDptHw9tON1xPFm5CT0RERKQWXIeqAwMsUhQnDiI6TJlMBnqHaJZ+xuDaVy+p+i4falrFa+dWN/LGN3tm8GQ4iCqdExfbPXuGWBpbBBfaPKjSOfF8JIReX35/LQBIptIwSVE0DgRQoZVwrcu/Z4jVPBrGGcPL3l2FqsaIiIiI1IbrUHVggEWK4sRBRIdpI5mG3iHjUrsXF7PN0ku9blkmUKVzQu+QEV3K30q3FE/AOB7Fw8EpVOmcOGtw415fIK8nltYWQUPvJM4YXKjSOfF4KAiTFMXqenLH548ux9E6JuNun9huWGvyoHFgKi/IarGFcbtnAtV6J063uvB8JLTj6YlEREREasN1qDowwCJFceIgosOUSIkA63KHFxe+RoBVrc8GWMuFe0HNrW7AKEXx1BrEhXYPyjUSTumcuNzhRV2nD5fbvTilc6JCK+FiuxfPR0IwSVEsxDYKjrdVaGENrWMyHg1O4ZzRjXKNhNN6F650eHG105c7WbFSJ+FKpxdNo2F0uWcQ29g5GCMiIiJSE65D1YEBFimKEwcRHaZMJgPDuIxrZj+q9c6i+0htvS53eHHOKE4C3C1wWo4n0OOdhd4hTgG8bvbjQrs4RfBCuwc3uv1oGglD75DR55/btfLqVbMr6+hyz0DvkPHUGkRdly93QuGFdg9u90ygxSbGHg4ssO8VERER0RZch6oDAyxSFCcOItqvTCazr9cNBxbwNHtSYOPAVEnhVfNoGJVaCXd6JtHmnEY6vfczLMQ2YAsuwjC+fSzDuAx7aLFgw/ZiZDIZzKysYziwkPecJikKp7xcUihGREREpBZch6oDAyxSFCcOIipWOp1BZDGOgYk5GKVoLgTqcE1jPLKElSLDmpnsSYHnTe6StxHezPa/arGF4Y4ul/T8qXQGaxsprKwnEU+kigq/ipVMpRHbSB7I2ERERETfNFyHqgMDLFIUJw4i2ksmk4FvZhVtzmnoHTIeDQVx3exHXacP9WYfbvdMoDm7XW5gYm7PiqZMJoMu9wwaBwIo10i4ZZkoKrx6NDiFSq2Ea2Y/9A4ZaxvclkdERET0JuI6VB0YYJGiOHEQ0W5S6QyGAwvQOSK42zuJGoMr17T8vNGNswb3y4blHV48tQZhGN+5ufqm6FI8W1HlR7lGwnWzP9cz6tVLa4/gXl8AlVoJF9o90NkjkCKlVV8RERER0euD61B1YIBFiuLEQUQ7yWQysAYWoLVHcLHdgwqtCKkeDwW3BUwttjDu9EzijMGFSp2EBwMBtI7JmFvd/UQ//8wq9A4Zd3omUamTUKmVUNfpw6PBKTwdDuLxYBA3u8WJg+UacaKfzh7BcGBh3/23iIiIiOjocR2qDgywSFGcOIhoJxOzq9A5RHhVpXPi0eDuDde19giudvhQoZXwcHAKJimKRCq963sE5mJoHZPRbAvjpsWP6lYRVm1eVTon6s0+PB8JQe+QYQsusr8UERER0RuO61B1YIBFiuLEQUSFZDIZdLim0dAn+lTtFV5tXrpstVa13gmdPYLJ2die77W6nsR4ZAlGKQqdI4KmkTCeWoN4MRKC1h5B65gMa2ABsyvrh/DJiYiIiOigcR2qDgywSFGcOIiokOiy6FF1zujGxfbSTgp8bg2hXCPhfn8AZvdM0dv9kqk0QgtrcEeXMR5ZgktexuRsDPEEm7UTERERfZNwHaoODLBIUZw4iKiQocl5PBkKolwj4eFAcdVXW68LbR7UmtzQO2TM79ELi4iIiIjUhetQdWCARYrixEFEhXS6ZnCrZwKndGIrYKkBVkPvJMo1EnT2CAJze28jJCIiIiL14DpUHRhgkaI4cRBRISYpiutmP2paXSWHV3qHjMaBKZRrJLTYwvDNrB71xyEiIiKi1wjXoerAAIsUxYmDiAppd07jhsWPar1zXwHW/X7R/F1jCxfVyJ2IiIiI1IPrUHVggEWK4sRBRIVYvLO4lw2hXoyESg6wrnW9DL8ii/Gj/jhERERE9BrhOlQdGGCRojhx0GFKpTNY20hhOZ5AbCOJVLq40+mKkUylEdtIYjmewNpGCmkFx06k0lhdF2PHE6miT9UrxnoyhZX1JFbWk4qfthdPvBx7PVna2L6ZVWjtEVTpnLhu9pcUXmls4nU3uv0wjkeRSKUV/VxERERE9GbjOlQdGGCRojhx0GFYjCVgCy7CML496DCMy7AFF7EQ298pdZlMBjMr6xgOLKB1bPvYRimKsfASluOJfY2dTmcgL8XR75/LC2janNNwR5extrG/wCmZSmNqPgaLdzZv7C73DPwzq9hI7i/02Uim4Z9ZRZd7Jm9si3cWU/MxJIsIlNaTKRjGZVwz+3FK50SLLVx0gHWnZxIVWglNo2E4Qkv7+hxERERE9M3Fdag6MMAiRXHioIO0sp5Er08EQE0jYdzo9qO2zYNzRjdq2zy4ZvbntqdZvLNYKiFsml/dgDkb0jyzBlHX5UNtmxvnjG5caPfgpsWPplERugxMzJdU3RRZjKPdOQ29Q8bjoSCudHpRa3LjvMmNi+0e3OmZzAU6o1OLJVUY+WdWYZSi0DkiaBwI4HLH1rG9uNcXgM4egWFchlNeLrqSLJ3OwCkvwzAuQ2eP4F5fABfbvThvcqPW5MblDi8aBwLQOSIwSlFMzO7dWN0WXETTaBin9E7UmjzQ2PY+jfDR4BQqtRLqunzQO+SS/k2JiIiISB24DlUHBlikKE4cdFAWYhswSVE8swZxsd2Dco2EUzonLnd4Udfpw5UOL07pnCjXSKht8+CpNQijFMXsyvqeY0cW4zCMy3g0FMR5kxvlGgnVeieuZMe+3O5FpVZChVbC5Q4vmkbC6HBNY2U9uefY/pnVXBPyMwYx9hmDC1c7fKjr9OFiuweVWglVOifqOn1osYVh8c7uuUUvk8nAEVrKVShVt4rPfs7oxtVOMfaFNvE9bW6/09kjGJyc33OrZSqdweDkPHT2CG50+1GV/V4vtHlQ1+nD1U4fzhnFZznd6sKdnknoHTIcoaVdt0OubaTQ5pzGk6EgqnROnDO68WhwqmBw1WIL45ZlApVaCRfbPdA5IhiPsPqKiIiIiPJxHaoODLBIUZw46CCsrCdhkqJ4lA0+zhhcuNcXgPaVCh6tPYL7/QGcNbhRpXPi4eAUjOPRXat2ZlfW0Tom415/ABVaCedNbjQOTEFn3z62xhbB3d5JnNa7UK134pk1iA7X9K6VWFPzMegdMm5Y/CjXSLjU7sXjwWBeWNM8KsKaUzonagwuNI2G0eOd3XVrnktehs4RwZVOL8o1Euo6fXg6nD/2C2sI181+VGol1La5obVHYA0s7Bg0ZTIZWAML0NjCqG1zo1Ir4brZjxfW/MbrT4eDqOv0oVwj4UqnFzpHBC55edd/y8W1BIzZIHJroHfLMoF7fQE09E7iaqcPlVoJlToJ18x+6By7PzMRERERqRvXoerAAIsUxYmDDkKvbw7PrCK8utC299YzrS2CS+1eVOmceDIchNkzU3DcVDqDNuc0Hg5OoUIrQqBXg6u8yqDRMM4Z3ahudaJpNAxrYKHg2PGE6Pl0t3cS5RoJtywTe26Xe2EN4bTehbNGNzS28I5h0PzqhjiZz+xHhVbCg/7AnmM/zoZ/m9VMwYW1gmMHF9agc0Rwsd2DKp0Tj4fyQ7FXrwfZ8O9atjn7/OruPchW1pO5nlqPh4K40uHNVXlVaCXUtLpwq2cCzdltlVJkmeEVEREREe2I61B1YIBFiuLEQUpbjCWgd8i40O7BGYOrqL5JmyHWOaPo16R3yJgrEKqEFtagd8ioaXXhQptnz/Bqa8VUtV5s+dM75ILN193RFbTYwqjSOVGf7d9UzPXcGkKlVsLtngmYpGjB7X4jUwt4PhJCuUbKbd8r5no4MIVyjYTGgQAs3tmC37fFO4vGgQDKNdKO2/sKXXd6RFD3fCSE0anFPf9dN5vaD0y8bGqvc7z8/o1SFFJkGatFbNMkIiIiInXjOlQdGGCRojhx0Far60m45GUMTc6jzz+HgYl52IKLmF5eL7qixhZcxItsWHOvb+9Ko1crgzZDlUKVUr2+OTwcFKHOkyIqjbZetywTqMqepueObq+USqczaHdO426vOD2vebT4E/f0DhlXO3yoaXVB75AReqVSKp5IoXVMRr3Zh2q9E9oiQ7fN63y2Kb3eIeed1rgQ28iFheeN7pLG1dojqNY7cc3sR+uYXFKT+9X1JCKLcUzNxxBaWMP08npRJxsSEREREQFch6oFAyxSFCcOAoDochwDE/OiWskWRuNAAPf6AngwEMBTqwiKOl0z8M2s7tpQPJXOwDAu47rZj1M6Z17Pq2JDlXqzD61j8rbT/VbXk9A7ZFxq9+KsobSwZrMKq1IrKqDandN5n1/vkFFjcOFyh7fksZ8MBVGukfBwcAoDE3Pbxp6YXYXWHsk1Zi917Ht9ItR7MRKCI7S9KbojtLTvsFDvkHMN37X2SFGnEhIRERERKYHrUHVggEWK4sShbplMBk55ORfCXOn0olInoVyz/TpndKOhLwCtPQKLd3bHap3YhgiZats8+wqC9A4ZddkT8/QOGctbmrnPrKxD75BR3erEze69+1MVrGYyuXGlUzxXeksQNzkbg9Ye2XcQpHfIqNY7catnAp2u7f27xiNLeGoVAVehpu17XS22MMo1Eh4MBDA4Ob9t7IGJedzPVq212EqrGtM7RFP3co2EZ9YgTwwkIiIiokPDdag6MMAiRXHiULex8BJ0jgjqzeJkuppWF+70TKJ5NAydPQKNLYLGgSlcbPNkT59zo2k0DLN7BhvJ/C1jy3HR/+qc0Z3rN1Xqdc3sR41BbMfbumVOXhJVUlU6J2737C/AutjuwaV2EWBtfX7v9Aqas0FR40DxfaS2XjWtLlw3+2GSotu+E1twEY+zFVrPC5wMuNelywZrDX0B9Pm3V3f1+ubQkK3Q2s8zP7eGctsxbcG9+2ARERERESmB61B1YIBFiuLEoV6BuViu4qlCK6Ghd3LXpujPrSHUtLpQ0+pCsy2ct1UO2F6BdeU1r8BK7VCBdb+IEwILXdV6J25a/HkVWGNh5SqwBiZ2rsAqtln+1osVWERERER0FLgOVQcGWKQoThzqlMlk0OGazvVXKnbbXNOIOM1vp6biqXQGrWOiiuqUrvSG5Tp7BKf1rlz11tYqqZVsD6yL7Z5cwFVSEJTtgXW7ZwJtr/bAylZ31bS6cLWj9MqxzSCocWAK/a9USflnVqHJnm5401J68HZ/S2N7e2h7lZQ9tJg73fDBPoK3m9nG9hpbGP4Z9sAiIiIiosPBdag6MMAiRXHieDPFEynMrKwjshiHvBTH/OrGtp5Oe9lsWn7O6MbFbBi1n0BldCp/29no1MtQpdRqpsYBccLgU2sQwwVOIezxzr68p8Rqpts9E6jUiV5RLjn/FEKTFBX3aCW0lHgKYV2nD6dbXdA5Ipiaj+X9W7WOiXuq9c5dq9wKXedNbtS2iX+j+dXtgeHcqjiFsLbNjVpTaf+Omw3z67p8JZ9CSERERET0dXAdqg4MsEhRnDjeHJlMBrMr67AGFtA6lh9ItDmn4Y4uY21j7yBicHL+5cl5JfZ80tojOKVz4prZj9YxGevJ7e83nwtVPDhrcBddhaW1R3De6MZ5k6iumllZz3vu4MIadI4ITre6cKndW3QY1GIL47Telds+GNtI5o3tkpfRkq2Uum4u/rTAF9YQKrUSbvVMwChFkUzl9wazBhbwLLuNsKF3suixHw9uVnYFYPbM5I0LAGbPDB4MiFDx8WDxoV5D72Ru+6C1QFhIRERERHRQuA5VBwZYpChOHG+GeCKFHu8s9A4Zz6xB1HX5UN3qRJVOXGeNbtzpmcydROeUl5HJ7FyRZRyP4prZv6+KIL1DbBGsbnVC75AxvZwfNFm8s3gyHESVzolL7d49QyytPYIrHeIExCdDQZjdMwWfP5WtlGrMBjbXzP49n7/FFsZ5kxun9E68GAlh6JWT/DbFNpJoHROVWuUaCXd69g6amkbCoi+YwYUWWxjOVyq7Ns1m+3fVdfpQqS2uUfzT4SBO6ZyobfNA54ggMBcrOHZgLgadI4LaNjdO6ZxFVaY1DkyhUivltmrOFggLiYiIiIgOCteh6sAAixTFieP1t7qeRIdrGk0jYdSa3CjXSKjWiyqhOz2TuN0zIcIfrYSqbGWUzhGBNbBQMARKpzPQO2Rc6fTmqp1Kve72TqJSJ06+Cy+u5b3HUjwB43gUDwenUKVz4pzRjQf9gbwgS2cXpxyeN7pRqROVRobx/N5aW0WX42gdE89QoZVwoc2DR4P5gZDWFsG9vgDOGFyo0jnxZCiIduf0rhVqk7Oisf11sx/lGglXOrwFA6EWWxh3eiZRrXeiptWFppEwuj2zSBSovto0Fl6Czh7BpXYvKrQifHtR4FTC5tEwblrEVsbzJjdabGEMTs7vuEU0nc5gcHIeLbYwzhndqNRKuGmZQHOBbZAvrCFcM/tRoZVwucMLnSOCsTCbtxMRERHR4eI6VB0YYJGiOHG83jaSaXS5Z/B8JJQLSwoFQVuDjwqthIvZ7XWFwonNAOvq1wiw7vTsHmABourIOB7Fk+HgtuCtrtOHa2a/6Buld6FcI4KaJ0NBGMZlRJfje34vwYU1tI6JSqIzBjH2GYMLdV1i7KudPpzSOVGukXCh3YPnIyG0OaextOVUw524oytii11fAKdbxfOdM7pRnx37cjYsrNRJuNLpRbMtDLN7Zs8eUplMBqNTi9A5Irhp8eOUPvt8bR5c6/LjmtmPi+0eVGwJIrX2CPr9cwW3JW6VTKXR75+D1h5BvdmHKp0TFVoJl9q9uGb241qXHxfaPCjXSDiVPS1R54hgdGpx10o9IiIiIqKDwHWoOjDAIkVx4ni9SRHRl+l0qwtnDe6imos/Gty+PWwxlh/aGKUobnTv76RAvUNGfZcPNa0u6B2Fe1VtWoonYPbMQO8QWx/rzT6cM7pRY3DhnNGNuk4fnlpFhZPZPbNr5dWrppfX0eGaht4h48lQEFc6vbmxz5vcuG7248WIqHDq9c0V7Hu1k6n5GExSFDqHqBC71O7F2ezYtSY3bvVMoDm7XXNocn7baYm7yWQycEdXYBgX1Wf3+gO40O7BWaMbZwxu1La5cbd3EhpbGK1jMuyhxaKb86fSGdhDi2gdk6GxhXG3dxK1bWLcs0Y3LrR7cK8/AJ09AsO4DHd0heEVERERER0JrkPVgQEWKYoTx+srmUrDKEVx0+JHpVYquCVsty0ELOHyAAAgAElEQVR+5RoJL0ZCsAXzTwocmVrInRT4oMSTAjW2CKp0Ttzo9sM4Ht112xywd/P54cACZlbW9xWmpNMZyEtxDEzM5Y1rGJdhCy4WDPCKkUpnEFxYgyXbe2zrZZSiGI8sYWW9+FBsq41kGhOzq+hyz+SN3e6chju6su9TAeOJFNzRFbQ7p/PG7nLPYGJ2tejAjYiIiIjoIHAdqg4MsEhRnDgOxuJaAvbQIrrcMzBJUZikKMzuGThCS1guYhsbIKqAdI4IqludqOvylRQyaW3ipMDrZj8M43JeYDG3eVKgyY1ak6eksRuyvaeaRsNwhErrn5RIpbEcT2AhtoHleELRIGU9mcLSlrH3CtZKEU+ksLgmxl5ZTyJVZFXUXjKZDGIbSSzGEliMJbC6niy64mov6XQGq+svx45tJFlxRURERESvBa5D1YEBFimKE4eyppfXc6cFNo2EcbtnAtfNftzoFg3Xm7JVVH3+uT1PfhuYmEPjwBTKNRKeDec3+97rum72o0rnhM4RQXAhv0+V2TOTO83vlmWiqDGfDYdQpXPiSqcXeodcVE8pIiIiIiKirbgOVQcGWKQoThzK8c2s5npQbTbjrtRKqGl1oabVhcr/397dR0dV33kcv0IM8lAaheJpsuKp2Aiebtvsidu64rr1VO2B40r1sK67p7qnKBTdnm7dtoccTmFbKy7yoFAVXItURAOigMSEPEAAkTxMIDwkwTwHkpAHkhAIhBCSmc/+EXKbNDOTmWQyc5n7fp3z+8f7mzu/ma/3Tn4f7v3dtGJzYe2d+T3rPlW3tHvc36GyJn2Qc0qvpZf4HV5lFDWY4VfyiTpVnL04YP+NFzqUUdSgTdk9T9x771CV0go8r4f1yeEavXbtiYKpBXU6XtM6kl8nAAAAgDDFPNQeCLAQUJw4AuN0c7syihr0/rUw6M3MMm3JPd0vEEotqNeW3NP6496eJ9t9mHNaGUUNbq+OkqSDpU16P7tKr2cMLcDafqTGXAerrLHN7Xv0hm4f5PQ8vfC1a0+/25lfq8+OndGuo2eU2GfM6/aXa3dBnRxVLQG7jQ4AAACAvTAPtQcCLAQUJ47ha23vNEMgX27HSy+s16asnqArMfe09pxscLsuVlZ5sz7MOa1VacVKH8KTArfl9dweuLugTpVNlzyOvzd8Sz5e1/NkwowSrUgtNtvKtGK983mFtl+7auzI6XPqCuD6UgAAAADshXmoPRBgIaA4cQxf3yf6vZ/l21pSGUUN+vOhKq+LoR+vadWnx2q1IrVYHx+u8TvAeudAhf64t0wZRQ1qbOvw+hnaOnoWnd/7ZU/A9umxWu3Ir9XO/FqlFPSs25VX1aL68x0sBA4AAABgWJiH2gMBFgKKE8fwdFzt1p6TDdp4qFKvZ5QozY8rpXqfFLgpq+dJgX/91Lymi1eUUdSgt/aVaf1+/54UmHKiTivTeq7wOlBy1ucn213tdqq6pV1f1l9QQe15FZ25oLLGiz4/OREAAAAABsM81B4IsBBQnDiGp+LsRaUW1Gl1eolfV1+ZV2F90bPGVXph/YAF3V0ul74oa9LWa7cCbj/i+1VYGw5WanV6iVIL6lTWOHABdwAAAAAIFeah9kCAhYDixDE8x2tazcXSk46d8TvA+vRozy2CO/Nr3d5GWN3SrvSier19oEKr00sGDbHSC+v150M962ttzavW3i8b1HG1OwTfDAAAAAC4xzzUHgiwEFCcOIbn8Klz2na45wqp1AL/F1pPOVGnFanF+uRIjY7XtA7Yv8vl0rHqVqUV1mv9gXKtTCvWhoOV+vRobf/bEQvrtdVRrTczy8xbBzOKGlR/3vvaVwAAAAAQbMxD7YEACwHFiWN48k+f08fXAqzdJ+r8DrA+O9az+PuO/FoV1J53+x7dTpeOVrcqvaheH+Sc0to9pVqRWqw/7i3V+v3lemtfmV5L73ly4PoD5dqeX6s9JxtUc67d7f4AAAAAIJSYh9oDARYCihPH8BSeOa9dw3hS4EfX1rdKPl6nkoY2j+/jcrlUfvai9hU3Kr2oXh8frtG7X1TqT59X6E8HK7Qpq0qfHe+5hTG7olnNF68E8VsAAAAAAN8xD7UHAiwEFCcOyel0qeNqtzqudqvrr54EOJjGtg5lFDXozcwyvX3AvycF9j5hcN21Jwyeu9Q56Pt1O12qbb2s3MoW7Tn5l/1kFjeqoPa8WtsH3wcAAAAAhBLzUHsgwEJA2fXE4XS61HihQ4dPnRsQKmWVN6u6pV1XfQizXC6XDpY2aYuj2u+F3HsXcP/4cLWyypuH9Dm6up1yOl1Dei0AAAAAhIJd56F2Q4CFgLLjiaPu/GV9XnpWGUUN2plfq3e/qNTbByq0/kC5/nSwQtsOVyu9qF6ZXzaqrLFNLpf3gKiy6ZLSCuu1dk+p1u4pVYoPa2GlnKjTmoxSvZFZpvSielW3sF4VAAAAAHuw4zzUjgiwEFB2O3GUn71orj31RmaZVqQWa+2eUv3fgQq9c6BCb177b6/vKdH72VVKL6xX/ulz6vZylVNXt1OHypv02fEzen1PidbuKdX2IzVKLxz4VML0wp71q17PKNGaPaVKPlGnnIpmr/sHAAAAgHBit3moXRFgIaDsdOI43dyujKIGbcqq0orUYr19oNxt0JR07Iw2flGpVWnFWre/XGmF9TpW3er1SqzLnd36vPSskk/UmSHY2j2l2px9StvyqrUtr1qbs09pTUbPEwTX7StTSkGdDpU1qeNqdxC/BQAAAAAILTvNQ+2MAAsBZZcTR1vHVWUUNWhzzimtSC3WhzmnB73Nb8eRWq1OL9HbByp8us2v42q3siuazVsT/3SwQqvSi7UitaetTi/RhoMV2nm0VhlFDXJUtehKF+EVAAAAAHuxyzzU7giwEFB2OXGcrLug5BN1WplWrE1ZVT4vtP7J4RqtSC3WtsPVOlTeNOj7uFwDF4ffXVCn3QV/WRcr//Q5nW27MujaWgAAAAAQjuwyD7U7AiwfnTp1Si+++KLuuusujRs3TjfffLPi4+P16quvqr09cAtmp6SkaM6cOYqJiVFkZKRiYmI0Z84cpaSk+LyPrq4urVu3TjNnztTkyZN100036Y477tD8+fNVWFgYsLG6cz2cOJovXtGX9Rd0vKZV+afPqaD2vCqbLvl8693Vbqcyv2zUpuwqrU4vUWrBwLWpvLW39pVp3f4yZRQ16NylTp/H3d7ZpdrWyzrVfEmnmi/pTOtlXe7kiisAAAAA9nY9zEMxfARYPti1a5cmTpxoHhB/3WJjY1VWVjas93A6nZo3b57H9zAMQ88++6ycTqfX/TQ1Nemee+7xuI8xY8bonXfeGdZYvbHqiaPb6dLp5nYdKmtSRlGDPjt+Rp8cqdHHh6u1I79WaYX12nOyQSdqzut8+1Wv+6ptvaz0onq9vqdEG7+o9Cu8yihq0La8aq1ILVbS8TMqqD0fpG8AAAAAAMKTVeehCCwCrEHk5+dr7NixMgxDEyZM0Msvv6ysrCzt3btXzz33XL8Qq62tbcjvs2jRInNfcXFxSkxMlMPhUGJiouLi4sxtCQkJHvfR3d2tmTNnmn0ff/xx7d69W7m5uVq7dq2mTJkiwzA0atQov67o8ocVTxwdV7uVU9Gs9MJ6fZRXrXX7ysx1pPquJ/XnQ1VKOn5GGUUNOt3s+aq6ssY2fXb8jFakFmv7kRq/A6y0wnqtSC3WFke1HFUtQfwmAAAAACD8WHEeisAjwBrE/fffL8MwFBERoaysrAHbX331VfNAWbp06ZDeo6SkRBERETIMQ/Hx8bp8+XK/7e3t7YqPjzfH4elqrw0bNphjef755wdsLysrM68ku/POO9XV1TWk8XpjtRNHZ5dTh8qalHyiTm9ce5rf+v3l2pZXrZQTddp9ok5Jx85oU1aVXksv0YrUYm3OOaWMogZVNl1yu8+TdRf06bFarUgt1qfXFlD3t61K61n4Pau8OcjfCAAAAACEF6vNQzEyCLC8yM3NNQ+CBQsWuO3jdDo1Y8YMGYahqKgoXb3q/fYzdxYuXGi+T3Z2tts+2dnZXsMpSeY4brnlFo/rcr3yyivmfj766CO/xzoYK504XC6X8qpalFJQp7V7SrUmo9Rr4JRWWK/3s3qeKrgpu2dh9sa2jgH7LW34yxVYO474H2Cl97kCK7eSK7AAAAAAYDisNA/FyCHA8iIhIcE8CHJycjz26xsKpaWl+fUeLpdL0dHRMgxD06dP99r3rrvukmEYiomJGfDEuZKSEnMMP/vZzzzuo76+3uz31FNP+TVWX1jpxNF88Yoyihq0bn+5Xs8oUfLxOp8Cps3ZPSHWJ0dqlF0x8Aqp083tSius1+r0Er+eQNjbth/peRLhzvxaHatuDcE3AwAAAADhw0rzUIwcAiwvem8fHD9+vNfb7bKyssyDZcmSJX69R0VFxaBXefWaP3++2beysrLftr63DyYmJnrdT2xsrAzD0NSpU/0aqy+sdOI4Vt2qXddu9duWV+3fkwIzy7T+QLkyihrU2t7/SYEdV7u152SDNh6q1OsZJUor9O8phP93oEJvZPY8hbDxwsArvAAAAAAAvrPSPBQjhwDLi8mTJ8swDH3nO9/x2u/cuXPmwTJ37ly/3iMpKcl87Wuvvea17+rVq82+ycnJ/bb993//t7nt6NGjXvfzz//8zzIMQzfccIMuXXK/ztNQWeXE0RsyvftFT8iU7mfItNXR86TAzzw8KfB4TauSrt1GuCX3tM/7TTp2RivTipXoOK3PS8/K6XS5GT0AAAAAwFdWmYdiZBFgedDR0WEeALNnzx60//jx42UYhr7//e/79T7r1q0z32fbtm1e+27bts3su379+n7bnnzySXNbU1OT1/288MILZt/i4mK/xltTU+O1ORwOS5w46s93KKOoYci3+fXeIrg555Q+Lz07YP/nLnUqo6hB7x6s1Kq0Yn1yePCnEX52/IzWZJTqjcwypRXWq+LsxRB8MwAAAAAQXgiw7IEAy4OzZ8+aB8CTTz45aP8pU6bIMAx961vf8ut9+j7FcPfu3V77pqSkmH1XrlzZb9usWbPMbR0d3m9L+81vfmP2PXz4sF/j7X2dLy2UJ47qlnZzsfStDv9uH+xtb+wt058PVWnvlw1u3+Nk3QWlF9br7QMVWplWrE1ZVW7X2UotqFdi7mm9nlGitXtKlXyiTjkVzerm6isAAAAAGDYCLHsgwPKgurraPAB+8pOfDNr/tttuk2EYmjZtml/v8/vf/958n71793rtu3fvXrPvSy+91G/bgw8+aG5zOp1e9/Pb3/7W7Hvw4EG/xkuA9Rcul0vHa1qVXlSvTVlVWp1eopVpxfq/AxXalFWl97NOacPBSvO//+nzCu0uqNOh8iZ1XO0O8jcCAAAAAOGJAMseCLA84Aos97iFsD+Xy6XShjbtOdmg1II6JTpOa92+Mq3ZU6rX95TojcwybcquUvKJniuz8k+f09Vu7wEjAAAAAMB3BFj2QIDlAWtgDY1VThwjvYi7u/erOHtRn5eeHbCvzC8bdbLugto6rgbhkwMAAACAvVhlHoqRRYDlxaRJk3gKoZ+sdOI4Vt2qXcdqtSK1WNvy/LuN8K3MMq0/UK6Moga1tnf6/J5Op0sXOq6q+eIVNV28ovPtV9XFFVcAAAAAMGKsNA/FyCHA8uL++++XYRgaP368urq6PPbLysoyD5YlS5b49R4VFRXmaxcsWOC17/z5882+lZWV/bZt2LDB3JaYmOh1P7GxsTIMQ1OnTvVrrL6w0omj+eIVZRQ1aN3+cr2eUeJ2gXV3bXP2Ka1ILdYnR2qUXdEc0s8AAAAAAPDOSvNQjBwCLC8SEhLMgyAnJ8djv1deecXsl5aW5td7uFwuRUdHyzAMTZ8+3Wvf6dOnyzAMxcTEyOXq/wS7kpIScww/+9nPPO6jvr7e7PfUU0/5NVZfWOnE4XK5lFfVopSCOq3dU6o1GaX69Git13Wv3s/qCa82Zfesm9XY5n09MQAAAABAaFlpHoqRQ4DlRW5u7qBXRzmdTs2YMUOGYSgqKkpXr/q/ztHChQvN98nOznbbJzs72+zz/PPPu+3TO45bbrlF7e3tbvv0Dds++ugjv8c6GKudODq7nDpU1qTkE3V6I7NMK1KLtW5fubblVSv5eJ12n6hT0rEz2pRVpdfSS7QitVgf5JxSRlGDKpsCe3slAAAAACDwrDYPxcggwBpE722EERERysrKGrC971MEly5dOmD7vn37zO3PPPOM2/coKSnR6NGjZRiG4uPjdfny5X7bL1++rPj4eHMcpaWlbvfT9zbCF154YcD28vJyTZw4UYZh6M477/R6W+RQWfHEcaWrWzkVzUovrNdHedVat78nyOrbVqeX6M+HqpR0/Iwyihp0utl9AAgAAAAAsBYrzkMReARYg8jPz9fYsWNlGIYmTJigZcuWKTs7W5mZmf3WpIqNjVVbW9uA1/sSYEnSokWLzH5xcXHasmWL8vLytGXLFsXFxZnbEhISPO6ju7tb9913n9n3iSeeUGpqqnJzc/XHP/5RU6ZMkWEYGjVqlFJSUgLx9Qxg1RNHt9Ol083tOlTepIyiBn12/Iy2H6nRx4ertSO/VmmF9dpzskEnas7rfDtPCwQAAACA64VV56EILAIsH+zatcu8csldi42NVVlZmdvX+hpgOZ1O/fSnP/X4HoZhaN68eXI6vT/RrqmpSffcc4/HfYwZM0bvvPPOcL4Or66HE0fLpU59WX9Bx2talX/6nApqz6uq6ZKudHWHemgAAAAAAD9dD/NQDB8Blo9OnTqlX/7yl4qNjdW4ceMUFRWl+Ph4LV++3ON6U5LvAVav5ORkPfbYY4qOjlZkZKSio6P12GOP+XXFVFdXl9566y3NnDlTkyZN0k033aQ77rhDzz33nAoLC33ez1Bw4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBx4gAAAAAABBPzUHsgwEJAceIAAAAAAAQT81B7IMBCQHHiAAAAAAAEE/NQeyDAQkBVVVWZJw6Hw6GamhoajUaj0Wg0Go1Go9FGrDkcDnMeWlVVFeppMUYIARYCqu+Jg0aj0Wg0Go1Go9FotGA2h8MR6mkxRggBFgKKAItGo9FoNBqNRqPRaKFqBFjhiwALAdXR0SGHwyGHw6GqqqqQX0rqyyWm3Op4fTdqGR6NOoZHo47h0ahj+DRqGR6NOoZHo44j26qqqsx5aEdHR6inxRghBFiwpZoaFvkLF9QyPFDH8EAdwwN1DB/UMjxQx/BAHYHhI8CCLfEDEj6oZXigjuGBOoYH6hg+qGV4oI7hgToCw0eABVviByR8UMvwQB3DA3UMD9QxfFDL8EAdwwN1BIaPAAu2xA9I+KCW4YE6hgfqGB6oY/igluGBOoYH6ggMHwEWbIkfkPBBLcMDdQwP1DE8UMfwQS3DA3UMD9QRGD4CLNgSPyDhg1qGB+oYHqhjeKCO4YNahgfqGB6oIzB8BFiwJX5Awge1DA/UMTxQx/BAHcMHtQwP1DE8UEdg+AiwYEv8gIQPahkeqGN4oI7hgTqGD2oZHqhjeKCOwPARYAEAAAAAAMDSCLAAAAAAAABgaQRYAAAAAAAAsDQCLAAAAAAAAFgaARYAAAAAAAAsjQALAAAAAAAAlkaABQAAAAAAAEsjwAIAAAAAAIClEWABAAAAAADA0giwAAAAAAAAYGkEWLCdU6dO6cUXX9Rdd92lcePG6eabb1Z8fLxeffVVtbe3h3p4GIRhGD61Bx54INRDta3GxkYlJSXpt7/9rX70ox9p0qRJZl2eeeYZv/eXkpKiOXPmKCYmRpGRkYqJidGcOXOUkpIS+MHDFIg6bty40edjduPGjSP6eewsLy9Pv/vd7/TQQw+Zx9H48eP1zW9+U//xH/+hgwcP+rU/jsnQCEQdOSZD68KFC0pMTNSLL76of/zHf9S0adM0ceJE3Xjjjfra176mBx54QMuXL1dzc7NP+zt06JD+/d//XVOnTtWYMWN066236uGHH9aHH344wp/E3gJRx3379vl8LC5dujR4Hw6wOAIs2MquXbs0ceJEjz8QsbGxKisrC/Uw4QUBlvV5q4s/AZbT6dS8efO87u/ZZ5+V0+kcuQ9jY4GoI5Pl0Lv//vt9+v6ffvppdXZ2et0Xx2ToBKqOHJOhlZGR4dN3P3nyZKWmpnrd19KlSzVq1CiP+5g9e7Y6OjqC9MnsJRB1JMAChoYAC7aRn5+vsWPHyjAMTZgwQS+//LKysrK0d+9ePffcc/1CrLa2tlAPFx701mnhwoUqKCjw2CorK0M9VNvq+0fX1KlT9fDDDw8pwFq0aJH5uri4OCUmJsrhcCgxMVFxcXHmtoSEhJH7MDYWiDr2nSynpaV5PWZbW1tH9gPZ1LRp02QYhqKjo/WLX/xCH3/8sRwOh7Kzs7V69WrFxMSYNXrqqae87otjMnQCVUeOydDKyMjQbbfdpqefflpr1qzR9u3blZ2drUOHDmnr1q2aO3euRo8eLcMwFBkZqWPHjrndz/r16806Tps2TRs2bJDD4dDOnTv1gx/8wOdjGkMTiDr2DbDeffddr8diY2NjCD4lYE0EWLCN3n+9jIiIUFZW1oDtr776Kv/ScR2gRta3ZMkSJSUlqaGhQZJUVVXld/BRUlKiiIgIGYah+Ph4Xb58ud/29vZ2xcfHm8c0V04GXiDq2HeyXFVVNXKDhUezZ8/W1q1b1d3d7XZ7U1OTYmNjzTodOHDAbT+OydAKVB05JkPLU/362rFjh1mj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width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "groups = flatdf[flatdf['eventname'].str.contains('baseline')].set_index('subjectkey').droplevel(1, axis=1)['OurAnxietyIndicator']\n",
    "plt_df = pd.concat([symptoms_total, groups],axis=1).sort_values(by=['SymptomScore'])\n",
    "print(plt_df)\n",
    "y = plt_df['SymptomScore']\n",
    "x = range(len(y))\n",
    "sorted_groups = plt_df['OurAnxietyIndicator']\n",
    "colors = {1.0:'tab:orange', 0.0:'tab:blue'}\n",
    "\n",
    "plt.scatter(x, y, alpha=0.3,\n",
    "            c= sorted_groups.map(colors))\n",
    "ax = plt.gca()\n",
    "ax.legend(['Control','Case'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nsfcrcns",
   "language": "python",
   "name": "nsfcrcns"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}