Lipizian_LOO_DT101_personality.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# import necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.tree import DecisionTreeClassifier, export_text\n",
    "import seaborn as sns\n",
    "from sklearn import tree\n",
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading and converting all anatomical data\n",
    "\n",
    "# reading the anatomy measurements from the *first* file\n",
    "all_anatomy_LR1=pd.read_excel('.\\Lippa_data.xlsx','Anatomy', index_col='ID')\n",
    "all_anatomy_LR1=all_anatomy_LR1.drop(['Timestamp', 'Horse', 'Temperature'], axis=1)\n",
    "# reading the anatomy measurements from the *second* file \n",
    "all_anatomy_LR2=pd.read_excel('.\\Lippa_data_25ijs.xlsx','Anatomy', index_col='ID')\n",
    "all_anatomy_LR2=all_anatomy_LR2.drop(['Horse'], axis=1)\n",
    "# reading the anatomy measurements from the *third* file \n",
    "all_anatomy_LR3=pd.read_excel('.\\Lippa_data_27ijs.xlsx','Anatomy', index_col='ID')\n",
    "all_anatomy_LR3=all_anatomy_LR3.drop(['Horse'], axis=1)\n",
    "# reading the anatomy measurements from *final* file \n",
    "all_anatomy_LR4=pd.read_excel('.\\Lippa_data_final.xlsx','Anatomy', index_col='ID')\n",
    "all_anatomy_LR4=all_anatomy_LR4.drop(['Horse'], axis=1)\n",
    "# put them together\n",
    "all_anatomy_LR=pd.concat([all_anatomy_LR1, all_anatomy_LR2, all_anatomy_LR3, all_anatomy_LR4]).sort_index()\n",
    "all_anatomy_LR['Sex']=all_anatomy_LR['Sex'].replace(['M','G','S'],['1','0','2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading and converting kinematic data\n",
    "kinematics1=pd.read_excel('.\\Lippa_experiments.xlsx','Kinematics_all', index_col='ID')\n",
    "kinematics2=pd.read_excel('.\\Lippa_experiments.xlsx','Kinematics_all_new25', index_col='ID')\n",
    "kinematics3=pd.read_excel('.\\Lippa_experiments.xlsx','Kinematics_all_27ijs', index_col='ID')\n",
    "kinematics4=pd.read_excel('.\\Lippa_experiments.xlsx','Kinematics_all_final', index_col='ID')\n",
    "kinematics_all=pd.concat([kinematics1, kinematics2, kinematics3, kinematics4]).sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading and converting housing data\n",
    "housing1=pd.read_excel('.\\Lippa_data_24ijs.xlsx','Housing and work', index_col='ID')\n",
    "housing1=housing1.drop(['Horse'], axis=1)\n",
    "housing1['Work']=housing1['Work'].replace(['yes','no'],[1,0])\n",
    "\n",
    "housing2=pd.read_excel('.\\Lippa_data_25ijs.xlsx','Housing and work', index_col='ID')\n",
    "housing2=housing2.drop(['Horse'], axis=1)\n",
    "housing2['Work']=housing2['Work'].replace(['yes','no'],[1,0])\n",
    "\n",
    "housing3=pd.read_excel('.\\Lippa_data_27ijs.xlsx','Housing and work', index_col='ID')\n",
    "housing3=housing3.drop(['Horse'], axis=1)\n",
    "housing3['Work']=housing3['Work'].replace(['yes','no'],[1,0])\n",
    "\n",
    "housing4=pd.read_excel('.\\Lippa_data_final.xlsx','Housing and work', index_col='ID')\n",
    "housing4=housing4.drop(['Horse'], axis=1)\n",
    "housing4['Work']=housing4['Work'].replace(['yes','no'],[1,0])\n",
    "\n",
    "\n",
    "housing=pd.concat([housing1, housing2, housing3, housing4]).sort_index()\n",
    "type_of_work=housing['Type of work'].unique()\n",
    "type_of_work\n",
    "housing['Type of work']=housing['Type of work'].replace(list(type_of_work), [0, 1, 2, 3, 4]) #no=0, riding=1, in training=2, show=3, carriage=4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading and converting digital data\n",
    "digital_measurment_of_head1=pd.read_excel('.\\Additional data 24 horses.xlsx','Head anatomy', index_col='ID')\n",
    "digital_measurment_of_head1=digital_measurment_of_head1.drop(['Horse'], axis=1)\n",
    "digital_measurment_of_head2=pd.read_excel('.\\Lippa_data_25ijs.xlsx','Additional anatomy', index_col='ID')\n",
    "digital_measurment_of_head2=digital_measurment_of_head2.drop(['Horse'], axis=1)\n",
    "digital_measurment_of_head3=pd.read_excel('.\\Lippa_data_27ijs.xlsx','Additional anatomy', index_col='ID')\n",
    "digital_measurment_of_head3=digital_measurment_of_head3.drop(['Horse'], axis=1)\n",
    "digital_measurment_of_head4=pd.read_excel('.\\Lippa_data_final.xlsx','Additional anatomy', index_col='ID')\n",
    "digital_measurment_of_head4=digital_measurment_of_head4.drop(['Horse'], axis=1)\n",
    "\n",
    "digital_measurment_of_head=pd.concat([digital_measurment_of_head1, digital_measurment_of_head2, digital_measurment_of_head3, digital_measurment_of_head4]).sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading and converting whorls data\n",
    "whorls_of_head1=pd.read_excel('.\\Additional data 24 horses.xlsx','Whorls_for_code',index_col='ID' ) \n",
    "whorls_of_head2=pd.read_excel('.\\Lippa_data_25ijs.xlsx','Whorls_for_code',index_col='ID' ) \n",
    "whorls_of_head3=pd.read_excel('.\\Lippa_data_27ijs.xlsx','Whorls_for_code',index_col='ID' ) \n",
    "whorls_of_head4=pd.read_excel('.\\Lippa_data_final.xlsx','Whorls_for_code',index_col='ID' ) \n",
    "whorls_of_head=pd.concat([whorls_of_head1, whorls_of_head2, whorls_of_head3, whorls_of_head4]).sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading transformed fear data\n",
    "fear_max_sum=pd.read_excel('.\\Lippa_experiments.xlsx','Fear_max_sum101', index_col='ID')\n",
    "fear_max_sum=fear_max_sum.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of horses')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#target features = average of both repetitions (PERSONALITY analysis) of fear tests divided by two classes.\n",
    "y=fear_max_sum['bin_mean'] \n",
    "tt=fear_max_sum['bin_mean'].value_counts()\n",
    "plt.figure()\n",
    "sns.barplot(x=tt.index, y=tt, palette=['blue', 'yellow']);\n",
    "plt.xlabel(\"Binary label\") \n",
    "plt.ylabel('Number of horses')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    51\n",
       "1    50\n",
       "Name: bin_mean, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y=y.sort_index()\n",
    "y.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_initial=pd.concat([all_anatomy_LR, kinematics_all, housing, whorls_of_head, digital_measurment_of_head], axis=1).sort_index()\n",
    "\n",
    "# the FIRST stage of the study - removing features that correlate with each other \n",
    "\n",
    "# empty_list=[]\n",
    "# # LEFT+front measurements\n",
    "# corr_list_left=[\"FH10L\", \"FH11L\", \"FH12L\", \"FH13L\", \"FH14L\", 'FH15L',\"FH16L\", \"FH17L\", \"FH18L\", \"FH19L\", \"FB08\", \"FB10L\", \"FB11L\", \"FB12L\", \"FB13L\", \\\n",
    "#             \"FB14L\", \"FB15L\", \"FB16L\", \"FB18L\", \"FB19L\", \"FB20L\", \"FB21L\", \"FB22L\", \"FB23L\", \"FB24L\", \"FB25L\", \"FB26L\", \"FB27L\", \"FB28L\",\\\n",
    "#             \"FB29L\", \"FB31L\", \"FB32L\", \"FB34L\", \"FB35L\", \"FB36L\", \"FB37L\", \"FB38\", \"FB39\", \"Trot_Stride lengh\",\\\n",
    "#             \"Whorl2_Rotation\", \"Whorl2_Height\", \"HMPF1\", \"HMPF2\", \"HMPF3\", \"HMPF4\", \"HMPF6\", \"HMPF9\", \"HMPF22\", \"HMPF23\",  \"HMPF25\", \"HMPF27\", \"HMPF31\",\\\n",
    "#             \"HMPF34\", \"HMPF35\", \"HMPF37\", \"HMPF39\",  \"HMPF41\", \"HMPF43\", \"HMPF45\", \"HMPF47\", \"HMPF49\",\"HMPL2\", \"HMPL11\", \"HMPL12\",\"HMPL15\"]\n",
    "\n",
    "# # RIGHT+front measurements\n",
    "# corr_list_right=[\"FH10R\",\"FH11R\",\"FH12R\",\"FH13R\",\"FH14R\",\"FH15R\",\"FH16R\",\"FH17R\",\"FH18R\",\"FH19R\",\"FB09\",\"FB10R\",\"FB11R\",\"FB12R\",\"FB13R\",\"FB14R\",\\\n",
    "#             \"FB15R\",\"FB16R\",\"FB18R\",\"FB19R\",\"FB20R\",\"FB21R\",\"FB22R\",\"FB23R\",\"FB24R\",\"FB25R\",\"FB26R\",\"FB27R\",\"FB28R\",\"FB29R\",\"FB31R\",\\\n",
    "#             \"FB32R\",\"FB34R\",\"FB35R\",\"FB36R\",\"FB37R\",\"FB39\",\"FB40\",\"Trot_Speed\",\"Whorl2_Height\", 'Whorl2_Lateral location',\"HMPF2\",\"HMPF3\",\"HMPF5\",\"HMPF7\",\\\n",
    "#             \"HMPF10\",\"HMPF24\",\"HMPF20\", \"HMPF21\",\"HMPF26\",\"HMPF30\",\"HMPF32\",\"HMPF33\",\"HMPF36\",\"HMPF38\",\"HMPF40\",\"HMPF42\",\"HMPF44\",\"HMPF46\",\"HMPF48\",\"HMPF71\",\\\n",
    "#             \"HMPR12\",\"HMPR13\",\"HMPR17\"]\n",
    "\n",
    "# # LEFT + additianal right + front measurements\n",
    "# corr_list_left_add=[\"FH10L\", \"FH11L\", \"FH12L\", \"FH13L\", \"FH14L\", \"FH15L\",\"FH16L\", \"FH17L\",\"FH18L\", \"FH19L\", \"FB08\", \"FB10L\", \"FB11L\", \"FB12L\", \"FB13L\", \\\n",
    "#             \"FB14L\",\"FB15L\", \"FB16L\", \"FB18L\", \"FB19L\", \"FB20L\", \"FB21L\", \"FB22L\", \"FB23L\", \"FB24L\", \"FB25L\", \"FB26L\", \"FB27L\", \"FB28L\",\\\n",
    "#             \"FB29L\", \"FB31L\", \"FB32L\", \"FB34L\", \"FB35L\", \"FB36L\", \"FB37L\", \"FB38\", \"FB39\", \"Trot_Stride lengh\",\\\n",
    "#             \"Whorl2_Rotation\", \"Whorl2_Height\", \"HMPF1\", \"HMPF2\", \"HMPF3\", \"HMPF4\", \"HMPF6\", \"HMPF9\", \"HMPF22\", \"HMPF23\", \"HMPF25\", \"HMPF27\", \"HMPF31\",\\\n",
    "#             \"HMPF34\", \"HMPF35\", \"HMPF37\", \"HMPF39\", \"HMPF41\", \"HMPF43\", \"HMPF45\", \"HMPF47\",\"HMPF49\", \"HMPL2\", \"HMPL11\", \"HMPL12\",\"HMPL15\",\\\n",
    "#             \"HMPF24\",\"HMPF32\", \"HMPF69\", \"HMPR2\", \"HMPR11\", \"HMPR12\",\"HMPR15\"] \n",
    "\n",
    "# # RIGHT + additianal left + front measurements\n",
    "# corr_list_right_add=[\"FH10R\",\"FH11R\",\"FH12R\",\"FH13R\",\"FH14R\",\"FH15R\",\"FH16R\",\"FH17R\",\"FH18R\",\"FH19R\",\"FB09\",\"FB10R\",\"FB11R\",\"FB12R\",\"FB13R\",\"FB14R\",\\\n",
    "#             \"FB15R\",\"FB16R\",\"FB18R\",\"FB32R\",\"FB19R\",\"FB20R\",\"FB21R\",\"FB22R\",\"FB23R\",\"FB24R\",\"FB25R\",\"FB26R\",\"FB27R\",\"FB28R\",\"FB29R\",\"FB31R\",\\\n",
    "#             \"FB34R\",\"FB35R\",\"FB36R\",\"FB37R\",\"FB39\",\"FB40\",\"Trot_Speed\",\"Whorl2_Height\", 'Whorl2_Lateral location',\"HMPF2\",\"HMPF3\",\"HMPF5\",\"HMPF7\",\\\n",
    "#             \"HMPF10\",\"HMPF24\",\"HMPF20\", \"HMPF21\",\"HMPF26\",\"HMPF30\",\"HMPF32\",\"HMPF33\",\"HMPF36\",\"HMPF38\",\"HMPF40\",\"HMPF42\",\"HMPF44\",\"HMPF46\",\"HMPF48\",\"HMPF71\",\\\n",
    "#             \"HMPR13\",\"HMPR12\",\"HMPR17\", \"FB32L\", \"HMPF27\", \"HMPF35\",  \"HMPL12\", \"HMPL13\", \"HMPL17\"]    \n",
    "\n",
    "\n",
    "# #left column of corr matrix\n",
    "# corr_list_feature1=[\"FH10L\",\"FH11L\",\"FH12L\",\"FH13L\",\"FH14L\",\"FH15L\",\"FH16L\",\"FH17L\", \"FH18L\",\"FH19L\",\"FB08\",\"FB10L\",\"FB11L\",\"FB12L\",\"FB13L\",\"FB14L\",\"FB15L\",\"FB16L\",\"FB18L\",\\\n",
    "#            \"FB19L\",\"FB20L\",\"FB21L\",\"FB22L\",\"FB23L\",\"FB24L\",\"FB25L\",\"FB26L\",\"FB27L\",\"FB28L\",\"FB29L\",\"FB31L\",\"FB32L\",\"FB34L\",\"FB35L\",\"FB36L\",\\\n",
    "#            \"FB37L\",\"FB38\",\"FB39\",\"Trot_Stride lengh\",\"Whorl2_Rotation\", \"Whorl2_Height\",\"HMPF1\",\"HMPF2\",\"HMPF3\",\"HMPF4\",\"HMPF6\",\"HMPF9\",\"HMPF20\",\"HMPF21\",\\\n",
    "#            \"HMPF24\", \"HMPF25\",\"HMPF26\", \"HMPF30\", \"HMPF32\", \"HMPF33\", \"HMPF34\", \"HMPF36\", \"HMPF38\", \"HMPF40\", \"HMPF42\", \"HMPF44\", \"HMPF46\", \"HMPF48\",\"HMPF69\",\\\n",
    "#            \"HMPL2\", \"HMPL11\", \"HMPL12\", \"HMPL15\", \"HMPR2\", \"HMPR11\", \"HMPR12\", \"HMPR15\"]\n",
    "\n",
    "# #right column of corr matrix\n",
    "# corr_list_feature2=[\"FH10R\",\"FH11R\",\"FH12R\",\"FH13R\",\"FH14R\",\"FH15R\",\"FH16R\",\"FH17R\",\"FH18R\",\"FH19R\",\"FB09\",\"FB10R\",\"FB11R\",\"FB12R\",\"FB13R\",\"FB14R\",\"FB15R\",\\\n",
    "#         \"FB16R\",\"FB18R\",'FB32L',\"FB19R\",\"FB20R\",\"FB21R\",\"FB22R\",\"FB23R\",\"FB24R\",\"FB25R\",\"FB26R\",\"FB27R\",\"FB28R\",\"FB29R\",\"FB31R\",\"FB32R\",\"FB34R\",\"FB35R\",\\\n",
    "#         \"FB36R\",\"FB37R\",\"FB39\",\"FB40\",\"Trot_Speed\",\"Whorl2_Height\", 'Whorl2_Lateral location',\"HMPF2\",\"HMPF3\",\"HMPF5\",\"HMPF7\", \"HMPF10\",\"HMPF24\",\"HMPF25\",\"HMPF22\",\"HMPF23\",\\\n",
    "#         \"HMPF26\", \"HMPF27\",\"HMPF31\", \"HMPF33\", \"HMPF34\",\"HMPF38\",\"HMPF35\",\"HMPF37\",\"HMPF39\",\"HMPF41\",\"HMPF43\",\"HMPF45\",\"HMPF47\",\"HMPF49\",\\\n",
    "#         \"HMPF71\",\"HMPL13\",\"HMPL12\",\"HMPL17\",\"HMPR13\",\"HMPR12\",\"HMPR17\"]\n",
    "\n",
    "# the SECOND stage of the study - using only important features defined during previous steps\n",
    "iteration_1=['Age', 'FB01', 'FB02', 'FB06', 'FB09', 'FB11L', 'FB12R', 'FB17L', 'FB20L', 'FB24L', 'FB26L', 'FB28L', 'FB35L', 'FB37R', 'FB40', 'FH05', 'FH09', 'FH15L', 'FH17L', \n",
    "                'HMPF1', 'HMPF11', 'HMPF12', 'HMPF13', 'HMPF14', 'HMPF15', 'HMPF16', 'HMPF20', 'HMPF25', 'HMPF4', 'HMPF45', 'HMPF61', 'HMPF62', 'HMPF68', 'HMPF69', 'HMPF74', 'HMPF79',\n",
    "                 'HMPF8', 'HMPL12', 'HMPL2', 'HMPL4', 'HMPL7', 'HMPL8', 'HMPR12', 'HMPR13', 'HMPR4', 'HMPR8', 'Number of boxes', 'Trot_Cadence', 'Trot_Regularity', 'Trot_Simmetry', \n",
    "                 'Walk_Cadence', 'Walk_Propulsion power', 'Walk_Regularity', 'Work']\n",
    "\n",
    "iteration_2=[\"Age\", \"FB26L\", \"HMPF62\", \"HMPF45\", \"HMPF79\", \"Walk_Cadence\", \"HMPL12\", \"FB12R\", \"FB40\", \"Walk_Regularity\", \"HMPL2\", \"Number of boxes\",\n",
    "    \"HMPF68\", \"FB06\", \"HMPL4\", \"HMPR4\", \"FB35L\", \"FH09\", \"FB37R\", \"Trot_Simmetry\", \"FH17L\", \"HMPF13\", \"HMPF1\"]\n",
    "\n",
    "iteration_3=['Age', 'HMPF79', 'HMPF45', 'FB26L', 'Walk_Regularity', 'HMPL2', 'HMPL4', 'HMPR4', 'FB40', 'FB37R', 'FB35L', 'HMPF13',\n",
    "'Number of boxes', 'HMPF68', 'HMPL12', 'FH17L', 'FB06', 'HMPF62', 'FB12R', 'HMPF1', 'Walk_Cadence', 'Trot_Simmetry']\n",
    "\n",
    "iteration_4=[ \"FB26L\", \"HMPL2\", \"HMPF45\", \"Walk_Regularity\", \"HMPF79\", \"Age\", \"Number of boxes\", \"FB40\", \"FB35L\", \"Trot_Simmetry\",\n",
    "    \"HMPL12\", \"FB06\", \"HMPF13\", \"HMPF62\", \"Walk_Cadence\", \"HMPF1\", \"HMPF68\"]\n",
    "\n",
    "final_iteration = [ \"Age\", \"FB26L\", \"Number of boxes\", \"HMPF45\", \"HMPF79\", \"HMPF62\", \"Trot_Simmetry\", \"HMPL2\", \"HMPF1\", \"FB35L\", \"FB06\", \"HMPF68\", \"Walk_Cadence\"]\n",
    "# using of important features identified by DT models with an accuracy > 0.8 determined at the first stage of the study (the above iterations were used sequentially)\n",
    "remove_bad_features = [item for item in X_initial.columns if item not in final_iteration ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n"
     ]
    }
   ],
   "source": [
    "\n",
    "rs_list=list(range(1,35001))\n",
    "# 1 stage:             \n",
    "# full_corr_list=[empty_list, corr_list_left, corr_list_right, corr_list_left_add, corr_list_right_add, corr_list_feature1, corr_list_feature2]\n",
    "\n",
    "# 2 stage\n",
    "full_corr_list=[remove_bad_features]\n",
    "\n",
    "def split_by_hand(Features,goal,number):\n",
    "    y_test=goal[[number]] #chose a value from y\n",
    "    X_test=Features.iloc[[number]] #chose a value from X\n",
    "    y_train=np.delete(np.array(goal),(number)) #remove test_instance from the set\n",
    "    X_train=Features.drop(Features.index[number]) #remove test_instance from the set\n",
    "    return X_train, X_test, y_train, y_test\n",
    "\n",
    "max_acc=0\n",
    "number_of_horses=len(X_initial)\n",
    "\n",
    "#loop through different lists of features\n",
    "for corr_list in full_corr_list:\n",
    "    X=X_initial.drop(corr_list, axis=1)\n",
    "    print(len(X.columns))\n",
    "    max_acc=0\n",
    "    min_acc=1\n",
    "    \n",
    "    #loop by parameters random_state\n",
    "    for rs in rs_list:\n",
    "        accuracy_list=[]\n",
    "        prediction=[]\n",
    "        selection_features=pd.DataFrame()\n",
    "        \n",
    "        #LOO CV loop\n",
    "        for test_instance in range(number_of_horses):\n",
    "\n",
    "            X_train, X_test, y_train, y_test=split_by_hand(X,y,test_instance)\n",
    "            \n",
    "            DT_model=tree.DecisionTreeClassifier(criterion='gini', random_state=rs, max_features='sqrt') \n",
    "            \n",
    "            DT_model.fit(X_train,y_train) # X_train X_percentile\n",
    "        \n",
    "            y_predict=DT_model.predict(X_test)  #DT_model\n",
    "        \n",
    "            prediction.append([y_test[0], y_predict[0]])\n",
    "            if (y_predict[0]==y_test[0]):\n",
    "                accuracy_list.append(1)\n",
    "            \n",
    "            feats=pd.DataFrame(index=X.columns, data=DT_model.feature_importances_, columns=['Important'])#df_scores['features'] , X.columns\n",
    "            selection_features=pd.concat([selection_features, feats])\n",
    "        \n",
    "        if sum(accuracy_list)/number_of_horses>max_acc:\n",
    "            max_acc=sum(accuracy_list)/number_of_horses\n",
    "            random_st=rs\n",
    "        print('Random_state=', rs, \"Accuracy=\", sum(accuracy_list)/number_of_horses, 'set=', len(X.columns), file=open('DT101_mean_for_the_best.txt', 'a')) \n",
    "    print('+++++ Random_state=', random_st, \"MAX Accuracy=\",max_acc,  'set=', len(X.columns), file=open('DT101_mean_for_the_best.txt', 'a')) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy= 0.9108910891089109 Random state= 34071\n"
     ]
    }
   ],
   "source": [
    "# accuracy for the defined best random_state parameter\n",
    "print(\"Accuracy=\", max_acc, 'Random state=', random_st)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# confusion_matrix for the defined best random_state parameter\n",
    "prediction=np.array(prediction)\n",
    "sns.heatmap(confusion_matrix(prediction[:,0], prediction[:,1]), annot=True,cmap=\"crest\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[45  6]\n",
      " [ 3 47]]\n",
      "Precision= 0.8867924528301887\n",
      "Recall= 0.94\n"
     ]
    }
   ],
   "source": [
    "# precision and recall for the defined best random_state parameter\n",
    "compare_matrix=confusion_matrix(prediction[:,0], prediction[:,1])\n",
    "print(compare_matrix)                                        \n",
    "precision=compare_matrix[1][1]/(compare_matrix[1][1]+compare_matrix[0][1])\n",
    "print('Precision=', precision)\n",
    "recall=compare_matrix[1][1]/(compare_matrix[1][1]+compare_matrix[1][0])\n",
    "print('Recall=', recall)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Important</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Walk_Cadence</th>\n",
       "      <td>0.032000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB35L</th>\n",
       "      <td>0.044968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB35L</th>\n",
       "      <td>0.044968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of boxes</th>\n",
       "      <td>0.060024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of boxes</th>\n",
       "      <td>0.060024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.292858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.292858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.295782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.295782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.295782</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>708 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Important\n",
       "Walk_Cadence      0.032000\n",
       "FB35L             0.044968\n",
       "FB35L             0.044968\n",
       "Number of boxes   0.060024\n",
       "Number of boxes   0.060024\n",
       "...                    ...\n",
       "FB26L             0.292858\n",
       "FB26L             0.292858\n",
       "FB26L             0.295782\n",
       "FB26L             0.295782\n",
       "FB26L             0.295782\n",
       "\n",
       "[708 rows x 1 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selection_features[selection_features['Important']!=0].sort_values('Important')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Age                101\n",
      "FB26L              101\n",
      "FB35L              101\n",
      "HMPF45             101\n",
      "HMPF79             101\n",
      "HMPL2              101\n",
      "Number of boxes    101\n",
      "Walk_Cadence         1\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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rj/dPnDgxpVIpgwcPbvW4dz6mPXny5Jx55pm5/fbbl7p39fX1bapjeXyQe7u81l577aUC97q6uvTp02epbUnrn51338OBAwemQ4cOze+ofOmll9KhQ4cMGjSoRbtevXqlW7duS31u+/fvv1zXMG/evJx77rm56qqr8sorr6RUKjXva+37835/Lp5//vkkyX/9138t85xLPsMjR45cZpv6+voWv0hoi5deeqlFgLzEO/+Mv7Ou5b1Xy7IkbFwSTi7LO8PLJfd5eY4BgA+LIBMA+Nh6+eWXU19f3xy0LBlJddJJJy1zZNi7Q5nldfzxx2e33XbLrbfemj/96U8544wzcu655+aee+7Jxhtv/IH6XqK8vLzV7e8MelZU586dlwpUm5qassYaazSPeny3JZOBLLm/1157bauBZEXFf/7qubLuU1NTU8rKyvKHP/yh1ftUXV2dJFm8eHG+9KUv5a233sopp5yS9dZbL1VVVXnllVdy8MEHt2nU3bJG5i5evLjV7R/k3i6vZX1GPshnZ1nXu6zt77a8IwyPOeaYXHXVVTn++OPzuc99LnV1dSkrK8uIESNa/f60x5+LJf2ed955+cxnPtNqmyWfoZWpvWZzr6ury5prrpnHH3/8Pds9/vjj6d27d/MvG1bkGAD4MAgyAYCPrSWTsywJLQcMGJDk7VF5X/ziF9/z2IEDB+bJJ59cofMOHDgwJ554Yk488cRMnDgxn/nMZ3LBBRcsNXv6Euuss04ef/zxNDU1tQi6JkyY0Lx/VRo4cGD+7//+L1tvvfV7BixLJmlZY4013vf+Lmm/PPeprbWWSqX0798/66677jLbPfHEE3n22WdzzTXXtJiU5e67716q7bKCuiWj8mbOnNli+7tHIr5fvW25t6vCxIkTW4wMfO6559LU1NQ8GdM666yTpqamTJw4sXlkYfL2xDYzZ85s8+d2Wff35ptvzsiRI3PBBRc0b5s/f/5S97utlnw+n3zyyWX+wmJJm9ra2jZ9httqnXXWyTPPPLPU9g/jz/iuu+6a//3f/82DDz7Y4tH2JR544IFMmjQpRxxxxAc6BgA+DN6RCQB8LN1zzz0ZNWpU+vfvn/333z/J2wHbDjvskF/84hd57bXXljpm6tSpzV/vtddeeeyxx5aaeTlZ9givuXPnZv78+S22DRw4MDU1NVmwYMEya/3yl7+c119/vcXsyo2Njbn00ktTXV2d7bff/r0vdiXbZ599snjx4owaNWqpfY2Njc3B0s4775za2tqcc845WbRo0VJtl9zfFb1PbfHVr3415eXl+d73vrfU96lUKmX69OlJ/jN6751tSqVSLr744qX6rKqqSrJ0YLnOOuukvLw8999/f4vtP/vZz9pcb1vv7apw2WWXtVi/9NJLkyTDhg1L8vbnNkkuuuiiFu0uvPDCJMl///d/t+k8VVVVrV5neXn5Ut/DSy+9dJkjXt/PTjvtlJqampx77rlLff6WnGfTTTfNwIEDc/7552f27NlL9fHOnxHL48tf/nIeeeSRPPzww83b5syZk1/+8pfp169f1l9//RXqty1OPvnkdOnSJUcccUTz53+Jt956K9/85jfTtWvXnHzyyR/oGAD4MBiRCQB85P3hD3/IhAkT0tjYmDfeeCP33HNP7r777qyzzjq5/fbbW0zscdlll2WbbbbJhhtumMMPPzwDBgzIG2+8kYcffjgvv/xyHnvssSRv/0P+5ptvzt57751DDjkkm266ad56663cfvvt+fnPf56NNtpoqTqeffbZfOELX8g+++yT9ddfPxUVFRkzZkzeeOONFhOvvNs3vvGN/OIXv8jBBx+cf/3rX+nXr19uvvnmPPTQQ7noootW+Tvott9++xxxxBE599xzM27cuOy0007p2LFjJk6cmJtuuikXX3xxhg8fntra2lx++eU58MADs8kmm2TEiBFZffXVM3ny5Pz+97/P1ltvnZ/+9KcrfJ/aYuDAgfn+97+f0047LZMmTcoee+yRmpqavPjiixkzZky+8Y1v5KSTTsp6662XgQMH5qSTTsorr7yS2tra3HLLLa2+K3LTTTdNkhx77LHZeeedU15enhEjRqSuri577713Lr300pSVlWXgwIG58847l+u9lm29t6vCiy++mK985SvZZZdd8vDDD+e6667L1772tebP/kYbbZSRI0fml7/8ZWbOnJntt98+jzzySK655prsscce2XHHHdt0nk033TT/93//lwsvvDBrrbVW+vfvny222CK77rprrr322tTV1WX99dfPww8/nP/7v/9Ljx49Vuh6amtr85Of/CSHHXZYPvvZz+ZrX/taunfvnsceeyxz587NNddckw4dOuSKK67IsGHDssEGG+TrX/96evfunVdeeSX33ntvamtrc8cddyz3uU899dRcf/31GTZsWI499tisttpqueaaa/Liiy/mlltuWeqVA8vr0Ucfzfe///2ltu+www7ZZpttcs0112T//ffPhhtumEMPPTT9+/fPpEmTMnr06EybNi3XX39982jU5O33oy7vMQDwofjwJ0oHAGgfV111VSlJ89KpU6dSr169Sl/60pdKF198camhoaHV455//vnSQQcdVOrVq1epY8eOpd69e5d23XXX0s0339yi3fTp00tHH310qXfv3qVOnTqV1l577dLIkSNL06ZNK5VKpdKLL75YSlK66qqrSqVSqTRt2rTSUUcdVVpvvfVKVVVVpbq6utIWW2xR+u1vf9ui3+233760/fbbt9j2xhtvlL7+9a+XevbsWerUqVNpww03bO53iSXnO++885a6piSls846q8337rzzzislKb344ovN20aOHFmqqqpa5jG//OUvS5tuummpS5cupZqamtKGG25Y+p//+Z/Sq6++2qLdvffeW9p5551LdXV1pcrKytLAgQNLBx98cOnRRx8tlUptv0+tOeuss0pJSlOnTn3Pdrfccktpm222KVVVVZWqqqpK6623Xumoo44qPfPMM81txo8fX/riF79Yqq6uLvXs2bN0+OGHlx577LEW39NSqVRqbGwsHXPMMaXVV1+9VFZWVnrnX6GnTp1a2muvvUpdu3Ytde/evXTEEUeUnnzyyaX6aK9725b7sf3225c22GCDpdqus846pf/+7/9eanuS0lFHHbVUn+PHjy8NHz68VFNTU+revXvp6KOPLs2bN6/FsYsWLSp973vfK/Xv37/UsWPHUp8+fUqnnXZaaf78+W06d6lUKk2YMKG03Xbblbp06VJKUho5cmSpVCqVZsyY0fxnorq6urTzzjuXJkyYUFpnnXWa25RK//k58M9//rNFv/fee28pSenee+9tsf32228vbbXVVqUuXbqUamtrS5tvvnnp+uuvb9Fm7Nixpa9+9aulHj16lDp37lxaZ511Svvss0/pL3/5S6vX8F73c4nnn3++NHz48FK3bt1KlZWVpc0337x05513tlrzTTfd9L7neef5lrWMGjWqud3jjz9e2m+//UprrrlmqWPHjqVevXqV9ttvv9ITTzyxzL5X5BgAWJnKSqV2eCs8AADwsfDd73433/ve9zJ16tRWZ4YHAFhVvCMTAAAAACg8QSYAAAAAUHiCTAAAAACg8LwjEwAAAAAoPCMyAQAAAIDCE2QCAAAAAIVXsaoL4JOnqakpr776ampqalJWVraqywEAAABgFSmVSpk1a1bWWmutdOjw3mMuBZl86F599dX06dNnVZcBAAAAQEFMmTIla6+99nu2EWTyoaupqUny9ge0trZ2FVcDAAAAwKrS0NCQPn36NOdF70WQyYduyePktbW1gkwAAAAA2vT6QZP9AAAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACq9iVRcAAAAAH6amplImT27IrFkLU1PTKX371qZDh7JVXRYFN3v2wpxxxgN54YX6DBhQl1Gjtk3Xrh0/9M/Sm2/OyVe+8ru88srs9O5dndtv/2rWWKNqpZ7zvc7/P/+zWfba6/fN+7/3vS1TXV2ZPn2qs/vug9OpU3mL4ydNmpmtt/5NZsxYkO7dO+ehh76Wfv26tencH+TYolq4cHFuu21ipkyZvcx7tiJtP67KSqVSaVUXwfs7+OCDc8011yy1feLEifn+97/fYt9qq62Wz372s/nxj3+cT3/600mSSZMmZdSoUbnnnnvy+uuvZ6211soBBxyQ008/PZ06dWo+tlQq5YILLsgvf/nLvPTSS+nZs2e+9a1v5fTTT0+SXH311Tn++OMzc+bMFb6WhoaG1NXVpb6+PrW1tSvcDwAAwPJ6+unpGTNmYiZMeCvz5zemsrIi6623Wvbcc3CGDu2xqsujoEaMuCM33/xsFi/+T4TSoUOywQY985nPrPGhfZYGDfplnn++YantAwfW5rnnvrFSztmW87emqqoivXpV5cQTN8uRR26cJKmtvSizZjUu1bampiINDce/Z38f5Niiuvzysbnggkfz+utzsnhxKeXlZUvdsxVp+1GzPDmRR8s/QnbZZZe89tprLZb+/fsvte8vf/lLKioqsuuuuzYfO2HChDQ1NeUXv/hFnnrqqfzkJz/Jz3/+83znO99pcY7jjjsuV1xxRc4///xMmDAht99+ezbffPMP9ToBAABWhqefnp5LLvl3xo59Iz17VmbIkO7p2bMyY8e+kUsu+Xeefnr6qi6RAhox4o7ceOMzLULMJGlqSp54Ylr+8Y9XP5TP0nuFiM8/35BBg37Z7uds6/lbM2dOY155ZXZOP/3BXH752GUGkUkya1ZjamsvWmZfH+TYorr88rE5/fQH88ors9O1a0V69qxM164VLe7ZirT9uPNo+UdI586d06tXr/fd16tXr5x66qnZdtttM3Xq1Ky++urZZZddsssuuzS3HzBgQJ555plcfvnlOf/885MkTz/9dC6//PI8+eSTGTJkSJI0B6UAAAAfZU1NpYwZMzHTps3N+uv3SFnZ24//1tZ2zvrrd8r48dNz663PZciQ1TxmTrPZsxfm5pufTZKUlb09CrNU+s+SJBMnzszixaWV+ll688057xsiPv98Q958c85Kecy8LedvTU1Nx8yatShnnvmXzJr13m1nzWrMpEkzl3pUfNKkmcsMMd/v2KJauHBxLrjg0cyb15jVV69Mhw5vjzPs2rVDKivLM3Xq/Fx44aM59NC3n7Jta9tPwmPmRmR+DM2ePTvXXXddBg0alB49lj2cvb6+Pquttlrz+h133JEBAwbkzjvvTP/+/dOvX78cdthheeuttz5QPQsWLEhDQ0OLBQAA4MM0eXJDJkx4K3361DSHmEuUlZVl7bVr8vTT0zN5sn+v8B9nnPFA80jMDu9IUN75kr5SKbnnnslJVt5n6Stf+V27tltZ53+3qVPnp7q6Y6ZNa1v7rbf+TZu2tfXYorrttol5/fU5qanp2BxMLtGhQ4dUV3fMa6/NyW23TVyutp8EgsyPkDvvvDPV1dXNy957793qvpqamtx+++258cYbl/qQL/Hcc8/l0ksvzRFHHNG87YUXXshLL72Um266Kb/61a9y9dVX51//+leGDx/+geo+99xzU1dX17z06dPnA/UHAACwvGbNWpj58xtTVdWx1f1VVR0zf35jZs1a+CFXRpG98EJ9m9rNmDG/+euV8Vl65ZXZ7dpuZZ2/NZWVbR8lOGPGgjZta+uxRTVlyuwsXlxK586t35vKyvIsXlzKlCmzl6vtJ4Eg8yNkxx13zLhx45qXSy65pNV9jzzySHbeeecMGzYsL7300lL9vPLKK9lll12y99575/DDD2/e3tTUlAULFuRXv/pVtt122+ywww4ZPXp07r333jzzzDMrXPdpp52W+vr65mXKlCkr3BcAAMCKqKnplMrKisyZs6jV/XPmLEplZUVqajq1up9PpgED6trUrnv3yuavV8ZnqXfv6nZtt7LO35r58xe3uW337p3btK2txxZVnz7VKS8vy4IFrd+b+fMXp7y8LH36VC9X208CQeZHSFVVVQYNGtS8rLnmmq3u++xnP5srrrgic+bMyf/+7/+26OPVV1/NjjvumK222iq//GXLFwGvueaaqaioyLrrrtu8bejQoUmSyZMnr3DdnTt3Tm1tbYsFAADgw9S3b23WW2+1TJkyK6VSy0lbSqVSXn55VoYO7ZG+ff17hf8YNWrblJe//SqCpqb/bH/n2wnKypLPf75vkpX3Wbr99q+2a7uVdf53W331ysyevSg9e7at/UMPfa1N29p6bFHtvvvg9OpVlVmzFqXpnR+svD3IbPbsRVlzzarsvvvg5Wr7SSDI/JgqKytLhw4dMm/evOZtr7zySnbYYYdsuummueqqq5Z67HzrrbdOY2Njnn/++eZtzz779kuN11lnnQ+ncAAAgJWgQ4ey7Lnn4PTs2TXjx09Pff2CNDY2pb5+QcaPn56ePbtmjz0GmeiHFqqrO2X48LcH+5RKyeLFbwea78zCBw/ulg4dylbqZ2mNNaoycOB7B6MDB9aulIl+2nr+1syatShdulTk7LO/kJqa955vuqamotXJevr167bCxxZVp07lOfHEzdKlS0WmTp2fOXMWZfHipsyZsyhTp85Ply4VOeGEzdKpU/lytf0kMGv5x8SCBQvy+uuvJ0lmzJiRn/70p5k9e3Z22223JP8JMddZZ52cf/75mTp1avOxS2Y7/+IXv5hNNtkkhxxySC666KI0NTXlqKOOype+9KUWozQXL16ccePGtTh/586dm0dvAgAAFNHQoT1y7LGbZMyYiZkw4a288srsVFZWZJNNemWPPQZl6NBlT5bKJ9cNN7z97+qbb362eeKfJCkvT9Zfv2c+85k18uyzM1b6Z+m5576RQYN+2ers4QMH1ua5577R7uds6/lbU1VVkTXXrMoJJ2yWI4/cOEceuXFqay9qdQbympqKNDQcv8y+GhqOX+Fji+rIIzdO8vaM5K+/PiezZy9KeXlZ1l67uvmerUjbj7uy0rvH1FNIBx98cGbOnJlbb7211X3XXHNN83pNTU3WW2+9nHLKKdlrr72SJFdffXW+/vWvt9r3Oz8Cr776ao455pj8+c9/TlVVVYYNG5YLLrigeXbzZfUzcODAPPfcc226loaGhtTV1aW+vt5j5gAAwIeuqamUyZMbMmvWwtTUdErfvrVGYvK+Zs9emDPOeCAvvFCfAQPqMmrUtunateOH/ll68805+cpXfpdXXpmd3r2rc/vtX11pIzHbcv7/+Z/Nstdev2/e/73vbZnq6sr06VOd3XcfvNRIwUmTZmbrrX+TGTMWpHv3znnooa+1eTTlBzm2qBYuXJzbbpuYKVNmL/OerUjbj5LlyYkEmXzoBJkAAAAAJMuXE3lHJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAMAKmjZtbnbY4foMHPjL7LDD9Zk2be6qLqkQbrjhyZSVnd+83HDDk0u1ueuuiS3a3HXXxA+9zpkz52fvvW/NZz97bfbe+9bMnDn/Q6/ho6SxsSkPPvhybrnl2Tz44MtpbGxa1SUB8AlTViqVSqu6iE+agw8+ODNnzsytt97aYvt9992XHXfcMTNmzMi4ceOy4447plu3bnnttddSWVnZ3O6f//xnNt988yTJkm/fkmOXWGONNbLNNtvkvPPOy4ABA5Ik/fr1y0svvdTinL17987LL7/cYlupVMqXv/zl/PGPf8yYMWOyxx57NO8rKytb6nquv/76jBgxos3X39DQkLq6utTX16e2trbNxwEAFMkGG4zO+PEzltq+/vrd89RTh66CioqhrOz8Ze4rlU5qc5uVbbvtfpMHHnh1qe3bbrtW7r//ax9KDR8ld975fC655N957rkZWbSoKR07dsigQd1z7LGbZNddB67q8gD4CFuenMiIzIKrqanJmDFjWmwbPXp0+vbt22r7Z555Jq+++mpuuummPPXUU9ltt92yePHi5v1nn312XnvtteZl7NixS/Vx0UUXtRpYLnHVVVe16OOdQScAwCfBskLMJBk/fkY22GD0h1xRMbxXQLlkf1varGzLCjGT5IEHXs122/1mpdfwUXLnnc/nlFPuz/jx09KtW+ess05tunXrnPHjp+WUU+7PnXc+v6pLBOATQpBZcCNHjsyVV17ZvD5v3rzccMMNGTlyZKvt11hjjay55prZbrvtcuaZZ2b8+PF57rnnmvfX1NSkV69ezcvqq6/e4vhx48blggsuaHHOd+vWrVuLPt45WhQA4ONu2rS5ywwxlxg/fsYn7jHz1h4fX1Er8zHzmTPnLzPEXOKBB171mPn/r7GxKZdc8u/U18/PgAF1qa3tnIqKDqmt7ZwBA+pSXz8/l176b4+ZA/ChEGQW3IEHHpgHHnggkydPTpLccsst6devXzbZZJP3PbZLly5JkoULF7bpXHPnzs3Xvva1XHbZZenVq9cy2x111FHp2bNnNt9881x55ZV5v7cTLFiwIA0NDS0WAICPquHDb2vXdh8X++33x3br67//e+Xdu8MPb1udbW33cff3v7+a556bkTXW6JoOHVr+87FDhw5ZffWumThxRv7+9/cOhwGgPQgyV5E777wz1dXVLZZhw4Yt1W6NNdbIsGHDcvXVVydJrrzyyhxyyCHv2/9rr72W888/P717986QIUOat59yyiktznnJJZc07/v2t7+drbbaKrvvvvsy+z377LPz29/+NnfffXf22muvfOtb38qll176nrWce+65qaura1769OnzvvUDABTVlCmz2rUdH65Jk9r2fWlru4+7N96Ym0WLmtK1a8dW91dVdcyiRU15441P1ghkAFaNilVdwCfVjjvumMsvv7zFtn/84x854IADlmp7yCGH5LjjjssBBxyQhx9+ODfddFMeeOCBVvtde+21UyqVMnfu3Gy00Ua55ZZb0qlTp+b9J598cg4++ODm9Z49eyZJbr/99txzzz2tvjPznc4444zmrzfeeOPMmTMn5513Xo499thlHnPaaaflhBNOaF5vaGgQZgIAH1l9+tTkhRfe/wmTPn1qPoRqWF79+tXk0UffaFM7kk99qms6duyQuXMXpba281L758xZlI4dO+RTn+q6CqoD4JPGiMxVpKqqKoMGDWqx9O7du9W2w4YNy7x583LooYdmt912S48ePZbZ7wMPPJDHH388DQ0NGTduXLbYYosW+3v27NninN26dUuS3HPPPXn++efTrVu3VFRUpKLi7Yx7r732yg477LDM822xxRZ5+eWXs2DBgmW26dy5c2pra1ssAAAfVTffvOynV1ak3cfF9dfv0m59/f73K+/e/e//tq3Otrb7uNtyy7UyaFD3vPnm3DQ1tXwPZlNTU6ZOnZvBg7tnyy3XWkUVAvBJIsj8CKioqMhBBx2U++67730fK+/fv38GDhyYmprl+w3yqaeemscffzzjxo1rXpLkJz/5Sa666qplHjdu3Lh07949nTsv/dtZAICPo549u2b99bu/Z5v11++enj0/WSPURoz4r3br68tfHtxufb1bt26V2Xbb9w7dtt12rXTrZkLLJKmo6JBjj90kdXWVeeGF+tTXL0hjY1Pq6xfkhRfqU1dXmWOO2SQVFf5pCcDK59Hyj4hRo0bl5JNPfs/RmB/EkhnI361v377p379/kuSOO+7IG2+8kS233DKVlZW5++67c8455+Skk05aKTUBABTVU08dmg02GN3q7OXrr989Tz116CqoatUrlU5KWdn577k/SZvarEz33/+1bLfdb1qdvXzbbdfK/fd/baXX8FGy664DkySXXPLvPPfcjEybNi8dO3bIBhv0zDHHbNK8HwBWNkHmR0SnTp2a32e5qnTs2DGXXXZZvv3tb6dUKmXQoEG58MILc/jhh6/SugAAVoWnnjo006bNzfDht2XKlFnp06cmN9+8+yduJOa7lUon5YYbnmwxi/n11+/SYsRmqXRS7rprYovZyX//+91X6kjMd7v//q9l5sz5OfzwP2bSpFnp168m//u/uxiJuQy77jowu+zSP3//+6t54425+dSnumbLLdcyEhOAD1VZqVQqreoi+GRpaGhIXV1d6uvrvS8TAAAA4BNseXIivz4DAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHgVq7oAAIBVbeHCxbnttomZMmV2+vSpzu67D06nTuXtfp7ZsxfmjDMeyAsv1GfAgLqMGrVtqqs7tft5imDatLkZPvy2TJkyKzNmNGTGjP/su/banbLNNn2z9da/yYwZC9K9e+c89NDX0q9ft/fs87nn3sqWW16XhoZFqa3tmL///YAMGrTaex7T1FTK5MkNmTVrYWpqOqVv39p06FDWDleIewsAfNjKSqVSaVUXwYfn4YcfzjbbbJNddtklv//971dJDQ0NDamrq0t9fX1qa2tXSQ0AsMTll4/NBRc8mtdfn5PFi0spLy9Lr15VOfHEzXLkkRu323lGjLgjN9/8bBYv/s9fvcrLyzJ8+Lq54Ybd2u08RbDBBqMzfvyM92/4LjU1FWloOL7VfV26XJj585uW2l5Z2SHz5p3Q6jFPPz09Y8ZMzIQJb2X+/MZUVlZkvfVWy557Ds7QoT2Wuz7+w70FANrL8uREgsxPmMMOOyzV1dUZPXp0nnnmmay11lofeg2CTACK4vLLx+b00x/MvHmNqanpmM6dy7NgweLMmrUoXbpU5Ac/2KZdwswRI+7IjTc+s8z9++475GMTZq5oiLlEa2HmskLMJVoLM59+enouueTfmTZtbvr0qUlVVcfMmbMoU6bMSs+eXXPssZsI3FaQewsAtKflyYm8I/MTZPbs2bnxxhtz5JFH5r//+79z9dVXt9h/++23Z/DgwamsrMyOO+6Ya665JmVlZZk5c2ZzmwcffDDbbrttunTpkj59+uTYY4/NnDlzPtwLAYB2sHDh4lxwwaOZN68xq69ema5dO6a8vEO6du2Y1VevzLx5jbnwwkezcOHiD3Se2bMX5uabn02SlJUl5eX/Wcr+/6dwb7nl2cyevfCDXtIqN23a3A8UYibJrFmNmTRpZvP6c8+99Z4hZpLMn9+U5557q3m9qamUMWMmZtq0uVl//R6pre2c8vIOqa3tnPXX75Fp0+bm1lufS1OT3+cvL/cWAFiVBJmfIL/97W+z3nrrZciQITnggANy5ZVXZsmA3BdffDHDhw/PHnvskcceeyxHHHFETj/99BbHP//889lll12y11575fHHH8+NN96YBx98MEcfffR7nnfBggVpaGhosQDAqnbbbRPz+utzUlPTMR06tPwrUYcOHVJd3TGvvTYnt9028QOd54wzHmh+nPxdp2leb2ws5YwzHvhA5ymC4cNva5d+tt76N81fb7nldW065p3tJk9uyIQJb6VPn5qUlbV8Z2NZWVnWXrsmTz89PZMn+zvJ8nJvAYBVSZD5CTJ69OgccMABSZJddtkl9fX1+etf/5ok+cUvfpEhQ4bkvPPOy5AhQzJixIgcfPDBLY4/99xzs//+++f444/P4MGDs9VWW+WSSy7Jr371q8yfP3+Z5z333HNTV1fXvPTp02elXSMAtNWUKbOzeHEpnTu3PqlPZWV5Fi8uZcqU2R/oPC+8UN+u7YpsypRZ7dLPjBkLmr9uaFjUpmPe2W7WrIWZP78xVVUdW21bVdUx8+c3Ztasj/4o2A+bewsArEqCzE+IZ555Jo888kj222+/JElFRUX23XffjB49unn/Zz/72RbHbL755i3WH3vssVx99dWprq5uXnbeeec0NTXlxRdfXOa5TzvttNTX1zcvU6ZMaeerA4Dl16dPdcrLy7JgQeuPjs+fvzjl5WXp06f6A51nwIC6dm1XZH361LRLP927d27+ura29cDs3d7ZrqamUyorKzJnTush6Jw5i1JZWZGamo/njPErk3sLAKxKgsxPiNGjR6exsTFrrbVWKioqUlFRkcsvvzy33HJL6uvbNgJk9uzZOeKIIzJu3Ljm5bHHHsvEiRMzcODAZR7XuXPn1NbWtlgAYFXbfffB6dWrKrNmLUpTU8t3MDY1NWX27EVZc82q7L774A90nlGjtk15edn/32/LfUvWKyrKMmrUth/oPEVw8827t0s/Dz30teav//73A9p0zDvb9e1bm/XWWy1TpszKu+e1LJVKefnlWRk6tEf69vV3kuXl3gIAq5Ig8xOgsbExv/rVr3LBBRcsFUKutdZauf766zNkyJA8+uijLY775z//2WJ9k002yfjx4zNo0KCllk6d/NYdgI+WTp3Kc+KJm6VLl4pMnTo/c+YsyuLFTZkzZ1GmTp2fLl0qcsIJm6VTp9YfPW+r6upOGT583SRJqZQsXvyfZUkOtNde66a6+qP//9KePbtm/fW7f6A+amoq0q9ft+b1QYNWS2Xle/+VtbKyQwYNWq15vUOHsuy55+D07Nk148dPT339gjQ2NqW+fkHGj5+enj27Zo89BqVDh7L36JXWuLcAwKpUVnr3r1L52Ln11luz77775s0330xdXcvH1k455ZTcc889+e1vf5shQ4bk29/+dg499NCMGzcuJ554Yl5++eXMnDkzdXV1efzxx7PlllvmkEMOyWGHHZaqqqqMHz8+d999d37605+2uZ6GhobU1dWlvr7e6EwAVrnLLx+bCy54NK+/PieLF5dSXl6WNdesygknbJYjj9y43c4zYsQdufnmZ5sn/kneHom5117r5oYbdmu38xTBBhuMXqHZy2tqKtLQcHyr+7p0ubDV2csrKztk3rwTWj3m6aenZ8yYiZkw4a3Mn9+YysqKDB3aI3vsMShDh/ZY7vr4D/cWAGgvy5MTCTI/AXbbbbc0NTXl97///VL7HnnkkWyxxRZ57LHHMmnSpJx44omZMmVKPve5z2XffffNkUcemXnz5qWysjLJ26M0Tz/99Dz88MMplUoZOHBg9t1333znO99pcz2CTACKZuHCxbnttomZMmV2+vSpzu67D/7AIzFbM3v2wpxxxgN54YX6DBhQl1Gjtv1YjMRszbRpczN8+G2ZMmVWZsxoyIx35JrXXrtTttmmb7be+jeZMWNBunfvnIce+lqLkZitee65t7LllteloWFRams75u9/P6DFSMzWNDWVMnlyQ2bNWpiamk7p27fWaMF24t4CAO1BkEm7+MEPfpCf//zn7T45jyATAAAAgGT5cqKKD6kmPgJ+9rOf5bOf/Wx69OiRhx56KOedd16OPvroVV0WAAAAAAgy+Y+JEyfm+9//ft5666307ds3J554Yk477bRVXRYAAAAAeLScD59HywEAAABIli8n6vAh1QQAAAAAsMIEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAECbNTWVMmlSfZ54YmomTapPU1NpVZdUGNOmzc0OO1yfgQN/mR12uD7Tps1doX7mz2/MZZf9OyeffF8uu+zfmT+/8X2Pue66x1NWdn7zct11j6/QuW+9dUKLfm69dcIK9QMAACtDWalU8i+QAjr44IMzc+bM3HrrrS2233fffdlxxx0zY8aMjBs3LjvuuGO6deuW1157LZWVlc3t/vnPf2bzzTdPkiz5Fi85dok11lgj22yzTc4777wMGDAgSdKvX78cf/zxOf7445eq6bHHHssPf/jDPPjgg5k2bVr69euXb37zmznuuOOW69oaGhpSV1eX+vr61NbWLtexAKw6Tz89PWPGTMyECW9l/vzGVFZWZL31Vsueew7O0KE9VnV5q9QGG4zO+PEzltq+/vrd89RTh7a5nzPPfDA//enYNDQsSKmUlJUltbWdc/TRG+fss7dp9ZiysvOX2V+pdFKbz91e/QAAwPJYnpzIiMyPgZqamowZM6bFttGjR6dv376ttn/mmWfy6quv5qabbspTTz2V3XbbLYsXL37f8/zrX//KGmuskeuuuy5PPfVUTj/99Jx22mn56U9/2i7XAUBxPf309Fxyyb8zduwb6dmzMkOGdE/PnpUZO/aNXHLJv/P009NXdYmrzLJCzCQZP35GNthgdJv6OfPMB/OjHz2S+voF6dixQ7p2rUjHjh1SX78gP/rRIznzzAeXOua9wse27G/vfgAAYGUSZH4MjBw5MldeeWXz+rx583LDDTdk5MiRrbZfY401suaaa2a77bbLmWeemfHjx+e555573/Mccsghufjii7P99ttnwIABOeCAA/L1r389v/vd79rtWgAonqamUsaMmZhp0+Zm/fV7pLa2c8rLO6S2tnPWX79Hpk2bm1tvfe4T+Zj5tGlzlxliLjF+/Iz3fcx8/vzG/PSnY9PY2JSqqop07lyR8vIO6dy5IlVVFWlsbMpll41t8Zh5Wx8ff792bX183GPmAACsaoLMj4EDDzwwDzzwQCZPnpwkueWWW9KvX79ssskm73tsly5dkiQLFy5coXPX19dntdVWe882CxYsSENDQ4sFgI+OyZMbMmHCW+nTpyZlZWUt9pWVlWXttWvy9NPTM3nyJ+/n+/Dht7VLu9GjH09Dw4J06tQhHTq0/OtZhw4dmkdmjh79n1DywAP/3KZzv1+7Pfe8s039tLUdAACsLILMArvzzjtTXV3dYhk2bNhS7dZYY40MGzYsV199dZLkyiuvzCGHHPK+/b/22ms5//zz07t37wwZMmS56/vb3/6WG2+8Md/4xjfes925556burq65qVPnz7LfS4AVp1ZsxZm/vzGVFV1bHV/VVXHzJ/fmFmzVuyXYh9lU6bMapd2kyY1pFRKKipa/6tZx44dUiq93Q4AAD6pBJkFtuOOO2bcuHEtliuuuKLVtoccckiuvvrqvPDCC3n44Yez//77L7PftddeO1VVVVlrrbUyZ86c3HLLLenUqdNy1fbkk09m9913z1lnnZWddtrpPduedtppqa+vb16mTJmyXOcCYNWqqemUysqKzJmzqNX9c+YsSmVlRWpqlu//JR8HffrUtEu7fv1qU1aWNDY2tbp/0aKmlJW93Q4AAD6pBJkFVlVVlUGDBrVYevfu3WrbYcOGZd68eTn00EOz2267pUePZc8e+8ADD+Txxx9PQ0NDxo0bly222GK56ho/fny+8IUv5Bvf+Eb+3//7f+/bvnPnzqmtrW2xAPDR0bdvbdZbb7VMmTIrpVLL92CWSqW8/PKsDB3aI337fvJ+vt988+7t0u7QQz+d2trOWbiwKU1NLcPMpqamLFrUlLq6zjn00E83b7/22vf+RWJb240Zs2ub+mlrOwAAWFk+cJDZ2NiY2bNnt0ctfAAVFRU56KCDct99973vY+X9+/fPwIEDU1PTtlEk7/TUU09lxx13zMiRI/ODH/xgRcsF4COkQ4ey7Lnn4PTs2TXjx09Pff2CNDY2pb5+QcaPn56ePbtmjz0GpUOHsvfv7GOmZ8+uWX/97u/ZZv31u6dnz67v2aaysiJHH71xKio6ZM6cxsyf35jFi5syf35j5sxpTEVFhxx11MaprKxoPuaAAz79Hj3+x/u122OP9drUT1vbAQDAytLmIPOOO+5ofgfjEj/4wQ9SXV2dbt26ZaeddsqMGe89aycr16hRozJ16tTsvPPOH6ifV155ZalH2mfMmJEnn3wyO+64Y3baaaeccMIJef311/P6669n6tSp7XQFABTV0KE9cuyxm2TjjT+V6dPn59lnZ2T69PnZZJNeOfbYTTJ06LKfBPi4e+qpQ5cZZq6/fvc89dShbern7LO3ySmnbJ66us5pbGzK3LmNaWxsSrdunXPKKZvn7LO3WeqYUumk9+zz/fa3dz8AALAyVbx/k7ddeOGFGT58ePP63/72t5x55pk5++yzM3To0Jx++ukZNWpULrzwwpVSKO+vU6dO6dmz5wfu5/zzz8/555/fYtu1116b5557LlOnTs11112X6667rnnfOuusk0mTJn3g8wJQbEOH9siQIatl8uSGzJq1MDU1ndK3b+0nciTmuz311KGZNm1uhg+/LVOmzEqfPjW5+ebd33ck5rudffY2+c53tszo0Y9n0qSG9OtXm0MP/XSLkZjvViqdlOuue7zF7OTXXrtTm0dsvrOfW2+d0GJ28jFjdjUSEwCAwigrvftlV8uwxhpr5E9/+lM23njjJMkJJ5yQ8ePH549//GOS5K677spxxx2XiRMnrrxq+VhoaGhIXV1d6uvrvS8TAAAA4BNseXKiNj9aPmvWrBYTyDz44IP5whe+0Ly+wQYb5NVXX12BcgEAAAAA3lubg8zevXvn6aefTpLMnj07jz32WLbaaqvm/dOnT0/Xrsv3+BQAAAAAQFu0Ocjce++9c/zxx+faa6/N4Ycfnl69emXLLbds3v/oo49myJAhK6VIAAAAAOCTrc2T/Zx55pl55ZVXcuyxx6ZXr1657rrrUl5e3rz/+uuvz2677bZSigQAAAAAPtnaPNkPtBeT/QAAAACQrKTJft5888333L948eI88sgjbe0OAAAAAKDN2hxkrrnmmi3CzA033DBTpkxpXp82bVo+97nPtW91AAAAAABZjiDz3U+gT5o0KYsWLXrPNgAAAAAA7aHNQWZblJWVtWd3AAAAAABJ2jnIBAAAAABYGSra2rCsrCyzZs1KZWVlSqVSysrKMnv27DQ0NCRJ838BAAAAANpbm4PMUqmUddddt8X6xhtv3GLdo+UAAAAAwMrQ5iDz3nvvXZl1AAAAAAAsU5uDzO23335l1gEAAAAAsEwm+wEAAAAACq/NIzLLy8vb1G7x4sUrXAwAAAAAQGuWa7KfddZZJyNHjmwxyQ8AAAAAwMrW5iDzkUceyejRo3PxxRenf//+OeSQQ7L//vune/fuK7M+AAAAAIC2vyNzs802y+WXX57XXnstJ5xwQsaMGZO11147I0aMyN13370yawQAAAAAPuGWe7KfysrKHHDAAfnLX/6SJ598Mm+++WZ22WWXvPXWWyujPgAAAACAtj9a/k4vv/xyrr766lx99dWZO3duTj755NTW1rZ3bQAAAAAASZYjyFy4cGHGjBmT0aNH54EHHsiwYcNy0UUXZdiwYW2e0RwAAAAAYEW0Ochcc801U1NTk5EjR+ZnP/tZ1lhjjSTJnDlzWrQzMhMAAAAAaG9lpVKp1JaGHTr853WaZWVlS+0vlUopKyvL4sWL2686PpYaGhpSV1eX+vp6wTcAAADAJ9jy5ERtHpF57733fuDCAAAAAABWRJuDzO233/5925i5HAAAAABYGTq8f5P39+c//zn77LNPevfu3R7dAQAAAAC0sMJB5ksvvZSzzjor/fr1y957750OHTrkV7/6VXvWBgAAAACQZDkeLU+ShQsX5ne/+12uuOKKPPTQQ/niF7+Yl19+OWPHjs2GG264smoEAAAAAD7h2jwi85hjjslaa62Viy++OHvuuWdefvnl3HHHHSkrK0t5efnKrBEAAAAA+IRr84jMyy+/PKecckpOPfXU1NTUrMyaAAAAAABaaPOIzGuvvTaPPPJI1lxzzey777658847s3jx4pVZGwAAAABAkuUIMvfbb7/cfffdeeKJJ7LeeuvlqKOOSq9evdLU1JTx48evzBoBAAAAgE+4slKpVFqRA0ulUv785z9n9OjRuf3229OzZ8989atfzSWXXNLeNfIx09DQkLq6utTX16e2tnZVlwMAAADAKrI8OdFyzVr+TmVlZdl5552z884756233sqvfvWrXHXVVSvaHQAAAADAMq3wiExYUUZkAgAAAJCspBGZZ5999vu2KSsryxlnnNHWLgEAAAAA2qTNIzI33njjZXdSVpZnnnkm8+fPN5M578uITAAAAACSlTQic+zYsa1uHzduXE499dQ8+eSTOfzww5evUgAAAACANuiwoge++OKLOeCAA/LZz342dXV1eeqpp/Lzn/+8PWsDAAAAAEiyAkHmtGnTcswxx2S99dbLa6+9lr/97W+58cYbM3jw4JVRHwAAAABA2x8tnzNnTs4///xceOGFGTRoUO64447stNNOK7M2AAAAAIAkyxFkDhw4MLNmzcoxxxyT/fbbL2VlZXn88ceXavfpT3+6XQsEAAAAAGjzrOUdOvznKfSysrK887Al62VlZWYt532ZtRwAAACAZCXNWv7iiy9+4MIAAAAAAFZEm4PMddZZZ2XWAQAAAACwTMs9azkAAAAAwIdNkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4bQ4y33zzzffc39jYmEceeeQDFwQAAAAA8G5tDjLXXHPNFmHmhhtumClTpjSvT58+PZ/73OfatzoAAAAAgCxHkFkqlVqsT5o0KYsWLXrPNgAAAAAA7aFd35FZVlbWnt0BAAAAACQx2Q8AAAAA8BFQ0daGZWVlmTVrViorK1MqlVJWVpbZs2enoaEhSZr/CwAAAADQ3tocZJZKpay77rot1jfeeOMW6x4tBwAAAABWhjYHmffee+/KrAMAAAAAYJnaHGRuv/32K7MOAAAAAIBlarfJfv79739n1113ba/uAAAAAACaLVeQ+ac//SknnXRSvvOd7+SFF15IkkyYMCF77LFHPvvZz6apqWmlFAkAAAAAfLK1+dHy0aNH5/DDD89qq62WGTNm5IorrsiFF16YY445Jvvuu2+efPLJDB06dGXWCgAAAAB8QrV5RObFF1+cH/3oR5k2bVp++9vfZtq0afnZz36WJ554Ij//+c+FmAAAAADASlNWKpVKbWlYVVWVp556Kv369UupVErnzp1z7733Zuutt17ZNfIx09DQkLq6utTX16e2tnZVlwMAAADAKrI8OVGbR2TOmzcvXbt2TZKUlZWlc+fOWXPNNT9YpQAAAAAAbdDmd2QmyRVXXJHq6uokSWNjY66++ur07NmzRZtjjz22/aoDAAAAAMhyPFrer1+/lJWVvXdnZWXNs5nDsni0HAAAAIBk+XKiNo/InDRp0getCwAAAABghbT5HZkAAAAAAKtKm0dknnDCCa1ur6ury7rrrpuvfvWr6dy5c7sVBgAAAACwRJuDzLFjx7a6febMmXnuuedyxhln5J577knfvn3brTgAAAAAgGQ5Jvt5Lw0NDdl///1TU1OT3/zmN+1RFx9jJvsBAAAAIFm+nKhd3pFZW1ubM844Iw899FB7dAcAAAAA0EK7TfbTs2fPvPXWW+3VHQAAAABAs3YLMv/+979n4MCB7dUdAAAAAECzNk/28/jjj7e6vb6+Pv/6179yzjnn5Kyzzmq3wgAAAAAAlmhzkPmZz3wmZWVlaW1uoJ49e+aEE07It771rXYtDgAAAAAgWY4g88UXX2x1e21tbbp3795uBQEAAAAAvFubg8zvfe97ufjii1NTU7My6wEAAAAAWEqbJ/u55pprMm/evJVZCwAAAABAq9ocZLb2bkwAAAAAgA9Dmx8tT5JZs2alsrLyPdvU1tZ+oIIAAAAAAN5tuYLMddddd5n7SqVSysrKsnjx4g9cFAAAAADAOy1XkHnzzTdntdVWW1m1AAAAAAC0armCzK233jprrLHGyqoFAAAAAKBVbZ7spy08Vg4AAAAArAxtDjLXWWedlJeXt7rv2Wefzf/8z/9k7bXXbrfCAAAAAACWaHOQ+eKLL6ZHjx7N63Pnzs1VV12VbbfdNuuvv37uv//+nHDCCSulSAAAAADgk2253pGZJH//+99zxRVX5Kabbkrfvn3z9NNP595778222267MuoDAAAAAGj7iMwLLrggG2ywQYYPH57u3bvn/vvvzxNPPJGysrIWIzUBAAAAANpbm0dknnLKKTnllFNy9tlnL/NdmQAAAAAAK0ObR2SOGjUqN910U/r3759TTjklTz755MqsCwAAAACgWZuDzNNOOy3PPvtsrr322rz++uvZYoststFGG6VUKmXGjBkrs0YAAAAA4BOuzUHmEttvv32uueaavP766/nWt76VTTfdNNtvv3222mqrXHjhhSujRgAAAADgE66sVCqVPmgnTzzxREaPHp1f//rXmTp1anvUxcdYQ0ND6urqUl9fn9ra2lVdDgAAAACryPLkRO0SZC6xaNGidOzYsb2642NKkAkAAABAsnw5UZsfLf/yl7+c+vr65vUf/vCHmTlzZvP69OnTs9FGGy1/tQAAAAAA76PNQeaf/vSnLFiwoHn9nHPOyVtvvdW83tjYmGeeeaZ9qwMAAAAAyHIEme9+Ar0dn0gHAAAAAHhPyz1rOQAAAADAh63NQWZZWVnKysqW2gYAAAAAsLJVtLVhqVTKwQcfnM6dOydJ5s+fn29+85upqqpKkhbvzwQAAAAAaE9tDjIPOuigFiMwDzjggFbbAAAAAAC0tzYHmVdfffVKLAMAAAAAYNna/I7MF154wUzlAAAAAMAq0eYgc/DgwZk6dWrz+r777ps33nhjpRQFAAAAAPBObQ4y3z0a86677sqcOXPavSAAAAAAgHdrc5AJAAAAALCqtHmyn7Kyshazli/ZBgAsv9mzF+aMMx7ICy/UZ8CAuowatW2qqzsts31TUymTJzdk1qyFqanplL59a9Ohw4fz/+ErrxybQw/9S/P66NFfyCGHbJxp0+Zm+PDbMmXKrHzqU53z6U/3ymuvzcmAAXUZNqxfdtllTEqlpKwsefDBfbPVVn0+lHoBAICPp7JSG2fw6dChQ4YNG5bOnTsnSe644458/vOfT1VVVYt2v/vd79q/yo+Zgw8+ODNnzsytt97aYvt9992XHXfcMTNmzMi4ceOy4447plu3bnnttddSWVnZ3O6f//xnNt988yT/eeR/ybFLrLHGGtlmm21y3nnnZcCAAUmSfv365aWXXmpxzt69e+fll1/OpEmT0r9//1br/e1vf5u99947SfKXv/wlZ5xxRp544olUVVVl5MiR+cEPfpCKijZn4mloaEhdXV3q6+tTW1vb5uMAPi5GjLgjN9/8bBYv/s//gsvLyzJ8+Lq54Ybdlmr/9NPTM2bMxEyY8Fbmz29MZWVF1ltvtey55+AMHdpjpdZaVnZ+u/ZXKp3Urv0BAAAfbcuTE7X50fKRI0dmjTXWSF1dXerq6nLAAQdkrbXWal5fstC+ampqMmbMmBbbRo8enb59+7ba/plnnsmrr76am266KU899VR22223LF68uHn/2Wefnddee615GTt2bJKkT58+Lba/9tpr+d73vpfq6uoMGzYsSfLYY4/ly1/+cnbZZZeMHTs2N954Y26//faceuqpK+nqAT5+Roy4Izfe+EyLEDNJFi8u5cYbn8mIEXe02P7009NzySX/ztixb6Rnz8oMGdI9PXtWZuzYN3LJJf/O009PX2m1tneIubL6BAAAPhnaPIzuqquuWpl1sAwjR47MlVdemf322y9JMm/evNxwww059thjM2rUqKXar7HGGunWrVvWXHPNnHnmmdl///3z3HPPZciQIUneDkZ79eq11HHl5eVLbR8zZkz22WefVFdXJ0luvPHGfPrTn86ZZ56ZJBk0aFB+/OMfZ5999slZZ52Vmpqadr12gI+b2bMX5uabn03y9uPWHd7x68SmpqRUSm655dnMnr0w1dWd0tRUypgxEzNt2tysv36P5le61NZ2zvrrd8r48dNz663PZciQ1dr9MfMrrxzbrv2909/+NsVj5gAAwHIz2U/BHXjggXnggQcyefLkJMktt9ySfv36ZZNNNnnfY7t06ZIkWbhw4XKf91//+lfGjRuXQw89tHnbggULWjzivuQc8+fPz7/+9a9l9rVgwYI0NDS0WAA+ic4444HmkZgd3vV/4CXrjY2lnHHGA0mSyZMbMmHCW+nTp6bV91SvvXZNnn56eiZPbv+fq+98J2Z722abG1da3wAAwMeXIHMVufPOO1NdXd1iWfII9zutscYaGTZsWK6++uokyZVXXplDDjnkfft/7bXXcv7556d3797NozGT5JRTTmlxzksuuaTV40ePHp2hQ4dmq622at628847529/+1uuv/76LF68OK+88krOPvvs5vMty7nnntvi9QN9+hiFA3wyvfBC/XK1mzVrYebPb0xVVcdW21VVdcz8+Y2ZNWv5f2G1KrXt7dwAAAAtCTJXkR133DHjxo1rsVxxxRWttj3kkENy9dVX54UXXsjDDz+c/ffff5n9rr322qmqqspaa62VOXPm5JZbbkmnTv+ZBffkk09ucc6DDjpoqT7mzZuX3/zmNy1GYybJTjvtlPPOOy/f/OY307lz56y77rr58pe/nOTtyaCW5bTTTkt9fX3zMmXKlPe8NwAfVwMGtO1d0kva1dR0SmVlRebMWdRquzlzFqWysiI1Ncue7byIyj6cydYBAICPGUHmKlJVVZVBgwa1WHr37t1q22HDhmXevHk59NBDs9tuu6VHj2XPUPvAAw/k8ccfT0NDQ8aNG5ctttiixf6ePXu2OGe3bt2W6uPmm2/O3LlzWw05TzjhhMycOTOTJ0/OtGnTsvvuuydJ88zorencuXNqa2tbLACfRKNGbZvy8rdTvKamlvuWrFdUlGXUqG2TJH371ma99VbLlCmzUnrXMMZSqZSXX56VoUN7pG/f9v+5Onr0F9q9zyUefHDfldY3AADw8SXI/AioqKjIQQcdlPvuu+99Hyvv379/Bg4c+IEm3hk9enS+8pWvZPXVV291f1lZWdZaa6106dIl119/ffr06dOmd3YCfNJVV3fK8OHrJnn78erFi/+zLMkp99pr3VRXvz3CskOHsuy55+D07Nk148dPT339gjQ2NqW+fkHGj5+enj27Zo89BrX7RD9JcsghG7d7n0uY6AcAAFgRbZ61nFVr1KhROfnkk99zNGZ7eO6553L//ffnrrvuanX/eeedl1122SUdOnTI7373u/zwhz/Mb3/725SXl6/UugA+Lm64Ybckyc03P9s88U/y9kjMvfZat3n/EkOH9sixx26SMWMmZsKEt/LKK7NTWVmRTTbplT32GJShQ1fe/xdKpZNSVnZ+u/cJAACwIgSZHxGdOnVKz549V/p5rrzyyqy99trZaaedWt3/hz/8IT/4wQ+yYMGCbLTRRrnttttanaQIgGW74YbdMnv2wpxxxgN54YX6DBhQl1Gjtm0eifluQ4f2yJAhq2Xy5IbMmrUwNTWd0rdv7UoZiflupdJJufLKsS1mMR89+gs55JCNM23a3AwfflumTJmVT32qcz796V557bU5GTCgLsOG9csuu4xJqfT2OzEffHBfIzEBAIAPpKz07pduwUrW0NCQurq61NfXe18mAAAAwCfY8uRE3pEJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPA+0UHmpEmTUlZWlnHjxq3qUppNmDAhW265ZSorK/OZz3ym1TY77LBDjj/++A+1Lvi4WrhwcW66aUIuvPDR3HTThCxcuHhVl7RSzZ69MN/+9l+y++6/y7e//ZfMnr3wA/V32GHXpazs/OblsMOua6dKAQAAoKVVGmQefPDBKSsryw9/+MMW22+99daUlZWtoqpWrbPOOitVVVV55pln8pe//GVVlwMfa5dfPjbrr39lvv71P+b00x/I17/+x6y//pW5/PKxq7q0lWLEiDvSrdulueiisbn99hdy0UVj063bpRkx4o4V6q+s7PyMHv16i22jR7+esrLz26NcAAAAaGGVj8isrKzMj370o8yYMWNVl9JuFi5c8RFOzz//fLbZZpuss8466dGjRztWBbzT5ZePzemnP5hXXpmdrl0r0rNnZbp2rcgrr8zO6ac/+LELM0eMuCM33vhMFi8utdi+eHEpN974zHKHme8XVgozAQAAaG+rPMj84he/mF69euXcc89dZpvvfve7Sz1mfdFFF6Vfv37N6wcffHD22GOPnHPOOfnUpz6Vbt265eyzz05jY2NOPvnkrLbaall77bVz1VVXLdX/hAkTstVWW6WysjL/9V//lb/+9a8t9j/55JMZNmxYqqur86lPfSoHHnhgpk2b1rx/hx12yNFHH53jjz8+PXv2zM4779zqdTQ1NeXss8/O2muvnc6dO+czn/lM/vjHPzbvLysry7/+9a+cffbZKSsry3e/+91l3pPGxsYcffTRqaurS8+ePXPGGWekVPpPQDFjxowcdNBB6d69e7p27Zphw4Zl4sSJSZKpU6emV69eOeecc5rb/+1vf0unTp2aR4EuWLAgJ510Unr37p2qqqpsscUWue+++5rbv/TSS9ltt93SvXv3VFVVZYMNNshdd921zHqhSBYuXJwLLng08+Y1ZvXVK9O1a8eUl3dI164ds/rqlZk3rzEXXvjox+Yx89mzF+bmm59NkpSVJeXl/1mWDH6/5ZZn2/yYeVsfH/eYOQAAAO1plQeZ5eXlOeecc3LppZfm5Zdf/kB93XPPPXn11Vdz//3358ILL8xZZ52VXXfdNd27d88//vGPfPOb38wRRxyx1HlOPvnknHjiiRk7dmw+97nPZbfddsv06dOTJDNnzsznP//5bLzxxnn00Ufzxz/+MW+88Ub22WefFn1cc8016dSpUx566KH8/Oc/b7W+iy++OBdccEHOP//8PP7449l5553zla98pTlgfO2117LBBhvkxBNPzGuvvZaTTjppmdd6zTXXpKKiIo888kguvvjiXHjhhbniiiua9x988MF59NFHc/vtt+fhhx9OqVTKl7/85SxatCirr756rrzyynz3u9/No48+mlmzZuXAAw/M0UcfnS984QtJkqOPPjoPP/xwbrjhhjz++OPZe++9s8suuzTXetRRR2XBggW5//7788QTT+RHP/pRqqurW611wYIFaWhoaLHAqnTbbRPz+utzUlPTMR06tPwx2KFDh1RXd8xrr83JbbdNXEUVtq8zznigeSTmuy63eb2xsZQzznigTf29+3HyD9oOAAAA2mKVB5lJsueee+Yzn/lMzjrrrA/Uz2qrrZZLLrkkQ4YMySGHHJIhQ4Zk7ty5+c53vpPBgwfntNNOS6dOnfLggw+2OO7oo4/OXnvtlaFDh+byyy9PXV1dRo8enST56U9/mo033jjnnHNO1ltvvWy88ca58sorc++99+bZZ59t7mPw4MH58Y9/nCFDhmTIkCGt1nf++efnlFNOyYgRIzJkyJD86Ec/ymc+85lcdNFFSZJevXqloqIi1dXV6dWr1zKDwSTp06dPfvKTn2TIkCHZf//9c8wxx+QnP/lJkmTixIm5/fbbc8UVV2TbbbfNRhttlF//+td55ZVXcuuttyZJvvzlL+fwww/P/vvvn29+85upqqpqHhU7efLkXHXVVbnpppuy7bbbZuDAgTnppJOyzTbbNI9onTx5crbeeutsuOGGGTBgQHbddddst912rdZ67rnnpq6urnnp06fP+3wnYeWaMmV2Fi8upXPn8lb3V1aWZ/HiUqZMmf0hV7ZyvPBCfbu2AwAAgFWhEEFmkvzoRz/KNddck6effnqF+9hggw1ajK761Kc+lQ033LB5vby8PD169Mibb77Z4rjPfe5zzV9XVFRks802a67jsccey7333pvq6urmZb311kvy9vssl9h0003fs7aGhoa8+uqr2XrrrVts33rrrVfomrfccssWEyJ97nOfy8SJE7N48eI8/fTTqaioyBZbbNG8v0ePHhkyZEiLc51//vlpbGzMTTfdlF//+tfp3LlzkuSJJ57I4sWLs+6667a47r/+9a/N13zsscfm+9//frbeeuucddZZefzxx5dZ62mnnZb6+vrmZcqUKct9vdCe+vSpTnl5WRYsaP3R8fnzF6e8vCx9+iz7lwkfJQMG1LVrOwAAAFgVChNkbrfddtl5551z2mmnLbWvQ4cOLd7/mCSLFi1aql3Hjh1brJeVlbW6rampqc11zZ49O7vttlvGjRvXYpk4cWKLEYhVVVVt7rMonn/++bz66qtpamrKpEmTmrfPnj075eXl+de//tXimp9++ulcfPHFSZLDDjssL7zwQg488MA88cQT2WyzzXLppZe2ep7OnTuntra2xQKr0u67D06vXlWZNWvRUj8PmpqaMnv2oqy5ZlV2333wKqqwfY0atW3Ky9/+xce7f/wtWa+oKMuoUdu2qb9DD+3Vru0AAACgLQoTZCbJD3/4w9xxxx15+OGHW2xfffXV8/rrr7cIM8eNG9du5/373//e/HVjY2P+9a9/ZejQoUmSTTbZJE899VT69euXQYMGtViWJ7ysra3NWmutlYceeqjF9oceeijrr7/+ctf8j3/8Y6lrGDx4cMrLyzN06NA0Nja2aDN9+vQ888wzzedauHBhDjjggOy7774ZNWpUDjvssOaRqhtvvHEWL16cN998c6lr7tXrP8FEnz598s1vfjO/+93vcuKJJ+Z///d/l/s6YFXo1Kk8J564Wbp0qcjUqfMzZ86iLF7clDlzFmXq1Pnp0qUiJ5ywWTp1av3R84+a6upOGT583SRJqZQsXvyfZcmP1b32WjfV1Z3a1N8VVxzQru0AAACgLQoVZG644YbZf//9c8kll7TYvsMOO2Tq1Kn58Y9/nOeffz6XXXZZ/vCHP7TbeS+77LKMGTMmEyZMyFFHHZUZM2bkkEMOSfL2pDZvvfVW9ttvv/zzn//M888/nz/96U/5+te/nsWLl29G45NPPjk/+tGPcuONN+aZZ57JqaeemnHjxuW4445b7ponT56cE044Ic8880yuv/76XHrppc39DB48OLvvvnsOP/zwPPjgg3nsscdywAEHpHfv3tl9992TJKeffnrq6+tzySWX5JRTTsm6667bfM3rrrtu9t9//xx00EH53e9+lxdffDGPPPJIzj333Pz+979Pkhx//PH505/+lBdffDH//ve/c++99zaHv/BRcOSRG+cHP9gmvXtXZ968xkybNj/z5jVm7bWr84MfbJMjj9x4VZfYrm64Ybfsu++Q5pGZS1RUlGXffYfkhht2W67+SqVlT0bWlv0AAACwvCpWdQHvdvbZZ+fGG29ssW3o0KH52c9+lnPOOSejRo3KXnvtlZNOOim//OUv2+WcP/zhD/PDH/4w48aNy6BBg3L77benZ8+eSdI8ivKUU07JTjvtlAULFmSdddbJLrvsstRsx+/n2GOPTX19fU488cS8+eabWX/99XP77bdn8ODlf3z1oIMOyrx587L55punvLw8xx13XL7xjW8077/qqqty3HHHZdddd83ChQuz3Xbb5a677krHjh1z33335aKLLsq9997b/Jj3tddem4022iiXX355jjzyyFx11VX5/ve/nxNPPDGvvPJKevbsmS23/P/au/M4rcqCf/yfwYFBmBm2AQYUZEvBcsMF9aUCiYqlqbllWZLaXtbjRn59XIpScnkq2uyXuObjbuZjaSpfpscFcANbQAXScAFRkmVkb+7vH72YXxOLLAMc6P1+vc7r5X2u61znus7N5c394Tr3OTDHHHNMkuTvf/97vvKVr+T1119PdXV1hg8f3viwIdhWfOlL++Sss/bMr389Pa+9Vp8ePSpz3HEf2G5WYv6rO+44NvX1y3PJJY/nL39ZkD592mXUqEPXeyXmvyqVzs/ZZ/+yydPJzzqr1kpMAAAANouy0r/++CRsZgsXLky7du2yYMECv5cJAAAA8G9sQ3KiQt1aDgAAAACwJoJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCK9/aHQCKZeXKhkyc+GbeemtxunZtkwMP7J7ycv/msaU0NJQya9bCLFq0PFVVrdKzZ3VatCjb6Laef35OvvSlRzN37uL07t0u99xzXEaP/r+59toXG+t98Ys9Mnny8rzxRn122qkyDzzw8XTp0ra5hgQAAADNoqxUKpW2didYPyNGjMjNN9+82v7p06fnO9/5TpOyjh07Zv/9989VV12VPffcs3H/xz72sUyZMiVz585Nhw4dMmzYsHzve99L9+7dkySvvvpqevfuvdo5JkyYkAMPPDBJcvnll+f+++/PlClTNmocCxcuTLt27bJgwYJUV1dvVBtsHg8+ODNjxjyfGTPezYoVDWnZskX69euQc84ZmGOO6bu1u7fdmzZtXn71q+l58cW/ZenSlWndujz9+3fMCSd8IAMGdNrgtgYPvj1vv710o/rSt291Zsz4/EYdCwAAAOtrQ3Iiy6y2McOHD8/s2bObbKuCx38uGzduXMrLy3PMMcc0OX7o0KG566678tJLL+Xee+/NzJkzc9JJJ612nscee6zJOfbdd98tMj62ngcfnJmRI/83U6e+k/btK7LLLtVp374iU6e+k5Ej/zcPPjhza3dxuzZt2ryMGfN8Jk9+KzU1rbPbbh1SU9M6kye/lTFjns+0afM2qK2DD/7lRoeYSTJz5sL06/f/bfTxAAAA0NzcWr6NqaioSG1t7fuW1dbW5pvf/GYOPfTQvP322+ncuXOS5D/+4z8a6++yyy755je/meOPPz4rVqxIy5YtG8s6deq01vOw/Vm5siFjxjyfBQuWpk+fdmnR4h//xlFdXZHKypb5y18W5Ec/ej7Dh/d2m/lm0NBQyq9+NT3vvLM4u+/eKWVl/7iVvLq6Irvv3ipTp87L/ffPyG67dXzf28wbGkq55ZYXMn/+ik3u18yZCzN37ntuMwcAAKAQJBLbqfr6+vzyl79Mv3790qnTmm9J/dvf/pbbbrstBx98cJMQM/nHLehdunTJIYcckgceeGCT+rJs2bIsXLiwyUaxTJz4ZmbMeDddurRpDDFXadGiRTp3bpPp09/NxIlvbqUebt9mzVqYF1/8W3r0qGoMMVcpKyvLzjtXZdq0eZk16/3nzqxZCzN27NRm69vHPnZfs7UFAAAAm0KQuY158MEHU1lZ2bidfPLJayyrqqrKAw88kDvvvHO1YGrkyJFp27ZtOnXqlFmzZuXXv/51Y1llZWWuvfba3H333fnNb36TQw45JMcff/wmhZlXXnll2rVr17j16NFjo9ti83jrrcVZsaIhbdq0XGN527Yts2JFQ956a/EW7tm/h0WLlmfp0pVp23bt13/p0pVZtGj5erVVX7/pqzFXeeON+mZrCwAAADaFIHMbM3To0EyZMqVxGzNmzBrLnn766Rx11FE5+uij89e//rVJGxdccEEmT56cRx55JDvssEM+85nPZNUzn2pqanLuuedm0KBB2X///TN69Oicfvrpufrqqze6zxdddFEWLFjQuL322msb3RabR9eubdKyZYssXrzmAOy991akZcsW6dq1zRbu2b+HqqpWad26PO+9t/br37p1eaqqWq1XW5WVaw5EN8ZOO1U2W1sAAACwKQSZ25i2bdumX79+jVu3bt3WWLb//vvn+uuvz3vvvZdf/OIXTdqoqanJrrvumiOOOCJ33HFHfvvb32bixIlrPeegQYMyY8aMje5zRUVFqqurm2wUy4EHdk+/fh0yd+7iNDQ0NClraGjI228vzgc+0CEHHth9K/Vw+9azZ3X69++Y115b1PiPCquUSqW8/vqiDBjQKT17vv/c6dmzOmedtXuz9e2BBz7ebG0BAADAphBkbsfKysrSokWLLFmyZK11VoVWy5YtW2udKVOmNAlM2f6Ul7fIOecMTLt2rfOXvyzIggXLsnJlQxYsWJa//GVB2rVrna99baAH/WwmLVqU5YQTPpCamjaZOnVek+s/deq81NS0yfHH93vfB/2sauszn9kr7dtv+qrMvn2rPegHAACAwvDU8u3IsmXLMmfOnCTJu+++mx//+Mepr6/PsccemySZNGlSnnnmmRxyyCHp0KFDZs6cmUsuuSR9+/bNQQcdlCS5+eab06pVq+yzzz5Jkvvuuy833HBDrr/++ibnWrJkSaZMmdJkX1VVVfr27buZR8nmcswx/3jvxox5PjNmvJt33lmSli1b5IMfrMnXvjawsZzNY8CATjnnnIH51a+m58UX/5Y33qhP69blGTiwNscf3y8DBqz5oV1ra+upp07P4MG35+23l25Uf/r2rc6MGZ/fqGMBAABgcxBkbkcefvjhxpWTVVVV6d+/f+6+++4MGTIkSdKmTZvcd999ueyyy/Lee++lW7duGT58eP7zP/8zFRUVje2MGjUqf/3rX1NeXp7+/fvnzjvvzEknndTkXC+//HJj2LnK4Ycfnscee2zzDpLN6phj+mb48N6ZOPHNvPXW4nTt2iYHHtjdSswtZMCATtltt46ZNWthFi1anqqqVunZs3q9VmKuqa05c76S55+fky996dHMnbs4vXu3yz33HJfRo/9vrr32xca6X/xij0yevDxvvFGfnXaqzAMPfNxKTAAAAAqnrPSvP8gGm9nChQvTrl27LFiwwO9lAgAAAPwb25CcyDIrAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyPwXdXV1KSsry/z585MkN910U9q3b79V+7Q2vXr1yg9+8IOt3Y1/ew0Npbz66oL88Y9v59VXF6ShobS1uwQAAACw3dmmg8zrrrsuVVVVWblyZeO++vr6tGzZMkOGDGlSd1VAOXPmzC3cy+Tee+/NkCFD0q5du1RWVmbPPffMt7/97fztb3/b4n2heU2bNi+jR0/KpZc+mVGjJuTSS5/M6NGTMm3avK3dNQAAAIDtyjYdZA4dOjT19fV59tlnG/c9/vjjqa2tzaRJk7J06dLG/ePHj0/Pnj3Tt2/fLdrHiy++OKeeemr233//PPTQQ/nTn/6Ua6+9Ni+88EJuvfXWLdoXmte0afMyZszzmTz5rdTUtM5uu3VITU3rTJ78VsaMeV6YCQAAANCMtukgc7fddku3bt1SV1fXuK+uri7HHXdcevfunYkTJzbZP3To0Nx6663Zb7/9UlVVldra2nzyk5/M3Llz1/ucb7/9dvbbb7+ccMIJWbZs2TrrPv3007niiity7bXX5uqrr87BBx+cXr165Ygjjsi9996bM844I0kyc+bMHHfccenatWsqKyuz//7757HHHmvS1ty5c3Psscdmxx13TO/evXPbbbetdr758+fn7LPPTufOnVNdXZ0Pf/jDeeGFFxrLL7/88uy999659dZb06tXr7Rr1y6f+MQnsmjRosY6DQ0Nueqqq9KvX79UVFSkZ8+e+e53v9tY/tprr+WUU05J+/bt07Fjxxx33HF59dVX1/v6bS8aGkr51a+m5513Fmf33TuluroiO+zQItXVFdl99055553Fuf/+GW4zBwAAAGgm23SQmfxjVeb48eMbX48fPz5DhgzJ4MGDG/cvWbIkkyZNytChQ7NixYqMGjUqL7zwQu6///68+uqrGTFixHqd67XXXsuhhx6aD33oQ7nnnntSUVGxzvq33XZbKisr8+Uvf3mN5at+e7O+vj4f+chHMm7cuEyePDnDhw/Psccem1mzZjXWHTFiRF577bWMHz8+99xzT37605+uFsCefPLJmTt3bh566KE899xzGThwYA4//PAmt7DPnDkz999/fx588ME8+OCD+f3vf5/Ro0c3ll900UUZPXp0LrnkkkydOjX//d//na5duyZJVqxYkaOOOipVVVV5/PHH8+STT6aysjLDhw/P8uXL13odli1bloULFzbZtnWzZi3Miy/+LT16VKWsrKxJWVlZWXbeuSrTps3LrFnb/lgBAAAAiqB8a3dgUw0dOjTf+MY3snLlyixZsiSTJ0/O4MGDs2LFilx33XVJkgkTJmTZsmUZOnRoevbs2Xhsnz59MmbMmOy///6pr69PZWXlWs/z0ksv5YgjjsgJJ5yQH/zgB6uFV2syffr09OnTJy1btlxnvb322it77bVX4+tRo0blV7/6VR544IF89atfzcsvv5yHHnooTz/9dPbff/8kydixYzNgwIDGY5544ok8/fTTmTt3bmPAes011+T+++/PPffck89//vNJ/rHi8qabbkpVVVWS5NOf/nTGjRuX7373u1m0aFF++MMf5sc//nHjatG+ffvmkEMOSZLceeedaWhoyPXXX984/htvvDHt27dPXV1djjzyyDWO78orr8y3vvWt971e25JFi5Zn6dKVadt2ze9t27Yt88Yb9Vm0aO0BLwAAAADrb5tfkTlkyJC89957eeaZZ/L4449n1113TefOnTN48ODG38msq6tLnz590rNnzzz33HM59thj07Nnz1RVVWXw4MFJ0mT1479asmRJDj300Hz84x/PD3/4w/UKMZOkVFq/24rr6+tz/vnnZ8CAAWnfvn0qKyszbdq0xj5NmzYt5eXl2XfffRuP6d+/f5Onqb/wwgupr69Pp06dUllZ2bi98sorTR5w1KtXr8YQM0m6devWuLJz2rRpWbZsWQ4//PA19vOFF17IjBkzUlVV1dh+x44ds3Tp0nU+ROmiiy7KggULGrfXXnttva5LkVVVtUrr1uV5770Vayx/770Vad26PFVVrbZwzwAAAAC2T9v8isx+/fpl5513zvjx4/Puu+82BpPdu3dPjx498tRTT2X8+PH58Ic/nPfeey9HHXVUjjrqqNx2223p3LlzZs2alaOOOmqdt0ZXVFRk2LBhefDBB3PBBRdkp512Wq++7brrrnniiSeyYsWKda7KPP/88/Poo4/mmmuuSb9+/bLjjjvmpJNOWmef/lV9ff1qvxe6yj8Hnv/aj7KysjQ0NCRJdtxxx/c9x7777rvG3+fs3LnzWo+rqKh439vwtzU9e1anf/+OmTz5rey+e6sm4XapVMrrry/KwIG16dmzeiv2EgAAAGD7sc2vyEz+cXt5XV1d6urqMmTIkMb9hx12WOMt2UOHDs2LL76YefPmZfTo0Tn00EPTv3//9XrQT4sWLXLrrbdm3333zdChQ/Pmm2+uV78++clPpr6+Pj/96U/XWD5//vwkyZNPPpkRI0bkhBNOyB577JHa2tomD9Dp379/Vq5cmeeee65x30svvdR4fJIMHDgwc+bMSXl5efr169dkq6mpWa/+fuADH8iOO+6YcePGrbF84MCBmT59erp06bLaOdq1a7de59hetGhRlhNO+EBqatpk6tR5WbBgWVaubMiCBcsydeq81NS0yfHH90uLFuu3ehcAAACAddtugswnnngiU6ZMaVyRmSSDBw/Oz3/+8yxfvrzx9zFbtWqVH/3oR/nLX/6SBx54IKNGjVqvc+ywww657bbbstdee+XDH/5w5syZ877HDBo0KBdeeGHOO++8XHjhhZkwYUL++te/Zty4cTn55JNz8803J/lHgHjfffdlypQpeeGFF/LJT36ycZVk8o+nsw8fPjxf+MIXMmnSpDz33HM5++yzm6ygHDZsWA466KAcf/zxeeSRR/Lqq6/mqaeeysUXX5xnn312vcbYunXrjBw5MhdeeGFuueWWzJw5MxMnTszYsWOTJJ/61KdSU1OT4447Lo8//nheeeWV1NXV5Zxzzsnrr7++XufYngwY0CnnnDMw++zTNfPmLc3LL7+befOWZuDA2pxzzsAMGNBpa3cRAAAAYLuxzd9anvwjyFyyZEn69+/f+ITt5B9B5qJFi7LbbrulW7duSZKbbrop/+f//J+MGTMmAwcOzDXXXJOPfexj63We8vLy3H777Tn11FPz4Q9/OHV1denSpcs6j/ne976XfffdNz/5yU9y3XXXpaGhIX379s1JJ53U+ECd//qv/8qZZ56Zgw8+ODU1NRk5cuRqT/a+8cYbc/bZZ2fw4MHp2rVrvvOd7+SSSy5pLC8rK8tvf/vbXHzxxfnsZz+bt99+O7W1tTnssMOaXJP3c8kll6S8vDyXXnpp3nzzzXTr1i1f/OIXkyRt2rTJ//7v/2bkyJH5+Mc/nkWLFmWnnXbK4Ycfnurqf89bqAcM6JTdduuYWbMWZtGi5amqapWePautxAQAAABoZmWl9X0iDTSThQsXpl27dlmwYMG/bQAKAAAAwIblRNvFreUAAAAAwPZNkLkJvvjFL6aysnKN26rbsQEAAACATefW8k0wd+7c1X7LcpXq6ur3/f3Mf1duLQcAAAAg2bCcaLt42M/W0qVLF2ElAAAAAGwBbi0HAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQAAAAAUniATAAAAACg8QSYAAAAAUHiCTAAAAACg8ASZAAAAAEDhCTIBAAAAgMITZAIAAAAAhSfIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4ZVv7Q7w76dUKiVJFi5cuJV7AgAAAMDWtCofWpUXrYsgky1u0aJFSZIePXps5Z4AAAAAUASLFi1Ku3bt1lmnrLQ+cSc0o4aGhrz55pupqqpKWVnZ1u4OW8DChQvTo0ePvPbaa6murt7a3YFCMT9g7cwPWDdzBNbO/IC1K9r8KJVKWbRoUbp3754WLdb9K5hWZLLFtWjRIjvvvPPW7gZbQXV1dSH+JwlFZH7A2pkfsG7mCKyd+QFrV6T58X4rMVfxsB8AAAAAoPAEmQAAAABA4Qkygc2uoqIil112WSoqKrZ2V6BwzA9YO/MD1s0cgbUzP2DttuX54WE/AAAAAEDhWZEJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJnABvvJT36SXr16pXXr1hk0aFCefvrpdda/++67079//7Ru3Tp77LFHfvvb3zYpHzFiRMrKyppsw4cP35xDgM1qQ+bIn//855x44onp1atXysrK8oMf/GCT24Qia+75cfnll6/2GdK/f//NOALYfDZkfvziF7/IoYcemg4dOqRDhw4ZNmzYavVLpVIuvfTSdOvWLTvuuGOGDRuW6dOnb+5hwGbT3HPE9xC2JxsyP+67777st99+ad++fdq2bZu99947t956a5M6Rf0MEWQCG+TOO+/Mueeem8suuyzPP/989tprrxx11FGZO3fuGus/9dRTOe2003LWWWdl8uTJOf7443P88cfnT3/6U5N6w4cPz+zZsxu322+/fUsMB5rdhs6RxYsXp0+fPhk9enRqa2ubpU0oqs0xP5Lkgx/8YJPPkCeeeGJzDQE2mw2dH3V1dTnttNMyfvz4TJgwIT169MiRRx6ZN954o7HOVVddlTFjxuS6667LpEmT0rZt2xx11FFZunTplhoWNJvNMUcS30PYPmzo/OjYsWMuvvjiTJgwIX/4wx/y2c9+Np/97Gfzu9/9rrFOYT9DSgAb4IADDih95StfaXz997//vdS9e/fSlVdeucb6p5xySumjH/1ok32DBg0qfeELX2h8fcYZZ5SOO+64zdJf2NI2dI78s1122aX0/e9/v1nbhCLZHPPjsssuK+21117N2EvYOjb1//UrV64sVVVVlW6++eZSqVQqNTQ0lGpra0tXX311Y5358+eXKioqSrfffnvzdh62gOaeI6WS7yFsP5rj+8I+++xT+s///M9SqVTszxArMoH1tnz58jz33HMZNmxY474WLVpk2LBhmTBhwhqPmTBhQpP6SXLUUUetVr+uri5dunTJbrvtli996UuZN29e8w8ANrONmSNbo03YGjbnn+Xp06ene/fu6dOnTz71qU9l1qxZm9pd2KKaY34sXrw4K1asSMeOHZMkr7zySubMmdOkzXbt2mXQoEE+P9jmbI45sorvIWzrNnV+lEqljBs3Li+99FIOO+ywJMX+DBFkAuvtnXfeyd///vd07dq1yf6uXbtmzpw5azxmzpw571t/+PDhueWWWzJu3Lh873vfy+9///scffTR+fvf/978g4DNaGPmyNZoE7aGzfVnedCgQbnpppvy8MMP52c/+1leeeWVHHrooVm0aNGmdhm2mOaYHyNHjkz37t0bv3SuOs7nB9uDzTFHEt9D2D5s7PxYsGBBKisr06pVq3z0ox/Nj370oxxxxBFJiv0ZUr5Vzw6Q5BOf+ETjf++xxx7Zc88907dv39TV1eXwww/fij0DoOiOPvroxv/ec889M2jQoOyyyy656667ctZZZ23FnsGWM3r06Nxxxx2pq6tL69att3Z3oHDWNkd8D+HfWVVVVaZMmZL6+vqMGzcu5557bvr06ZMhQ4Zs7a6tkxWZwHqrqanJDjvskLfeeqvJ/rfeemutD2Gora3doPpJ0qdPn9TU1GTGjBmb3mnYgjZmjmyNNmFr2FJ/ltu3b59dd93VZwjblE2ZH9dcc01Gjx6dRx55JHvuuWfj/lXH+fxge7A55sia+B7Ctmhj50eLFi3Sr1+/7L333jnvvPNy0kkn5corr0xS7M8QQSaw3lq1apV9990348aNa9zX0NCQcePG5aCDDlrjMQcddFCT+kny6KOPrrV+krz++uuZN29eunXr1jwdhy1kY+bI1mgTtoYt9We5vr4+M2fO9BnCNmVj58dVV12VUaNG5eGHH85+++3XpKx3796pra1t0ubChQszadIknx9sczbHHFkT30PYFjXX37EaGhqybNmyJAX/DNmqjxoCtjl33HFHqaKionTTTTeVpk6dWvr85z9fat++fWnOnDmlUqlU+vSnP1365je/2Vj/ySefLJWXl5euueaa0rRp00qXXXZZqWXLlqU//vGPpVKpVFq0aFHp/PPPL02YMKH0yiuvlB577LHSwIEDSx/4wAdKS5cu3SpjhE2xoXNk2bJlpcmTJ5cmT55c6tatW+n8888vTZ48uTR9+vT1bhO2FZtjfpx33nmlurq60iuvvFJ68sknS8OGDSvV1NSU5s6du8XHB5tiQ+fH6NGjS61atSrdc889pdmzZzduixYtalKnffv2pV//+telP/zhD6Xjjjuu1Lt379KSJUu2+PhgUzX3HPE9hO3Jhs6PK664ovTII4+UZs6cWZo6dWrpmmuuKZWXl5d+8YtfNNYp6meIIBPYYD/60Y9KPXv2LLVq1ap0wAEHlCZOnNhYNnjw4NIZZ5zRpP5dd91V2nXXXUutWrUqffCDHyz95je/aSxbvHhx6cgjjyx17ty51LJly9Iuu+xS+tznPiegYZu2IXPklVdeKSVZbRs8ePB6twnbkuaeH6eeemqpW7dupVatWpV22mmn0qmnnlqaMWPGFhwRNJ8NmR+77LLLGufHZZdd1linoaGhdMkll5S6du1aqqioKB1++OGll156aQuOCJpXc84R30PY3mzI/Lj44otL/fr1K7Vu3brUoUOH0kEHHVS64447mrRX1M+QslKpVNqya0ABAAAAADaM38gEAAAAAApPkAkAAAAAFJ4gEwAAAAAoPEEmAAAAAFB4gkwAAAAAoPAEmQAAAABA4QkyAQAAAIDCE2QCAAAAAIUnyAQAAAAACk+QCQBAsxgxYkTKyspW22bMmLHO8uHDh6/W1pVXXpkddtghV199deO+Xr16rfH4VduIESPy6quvpqysLFOmTFmtzSFDhuQb3/jGGttr06ZN9thjj1x//fVNjqmrq1vr+ebMmbPG6/CvfVj1eocddsgbb7zRpO7s2bNTXl6esrKyvPrqq03qr9o6deqUI488MpMnT25y7J///Oeccsop6dy5cyoqKrLrrrvm0ksvzeLFi5vUW9c41/aerNp69eq1zvdklZtuummN7+X8+fNTVlaWurq6JvvHjx+fj3zkI+nUqVPatGmT3XffPeedd17j9dmY6w4AbP8EmQAANJvhw4dn9uzZTbbevXuvs/z2229frZ0bbrghF154YW644YbGfc8880zjMffee2+S5KWXXmrc98Mf/nCD+/vtb387s2fPzp/+9Kecfvrp+dznPpeHHnpotXr/fJ5VW5cuXTboXDvttFNuueWWJvtuvvnm7LTTTmus/9hjj2X27Nn53e9+l/r6+hx99NGZP39+kmTixIkZNGhQli9fnt/85jd5+eWX893vfjc33XRTjjjiiCxfvny9xvnDH/6wyZiS5MYbb2x8/cwzzzS2sab35J+Vl5fnsccey/jx49d5HX7+859n2LBhqa2tzb333pupU6fmuuuuy4IFC3Lttdc2qdsc1x0A2H4IMgEAaDYVFRWpra1tsu2www7rLO/QoUOTNn7/+99nyZIl+fa3v52FCxfmqaeeSpJ07ty58ZiOHTsmSbp06dK4r127dhvc36qqqtTW1qZPnz4ZOXJkOnbsmEcffXS1ev98nlVbixYb9lfpM844IzfeeGOTfTfeeGPOOOOMNdbv1KlTamtrs99+++Waa67JW2+9lUmTJqVUKuWss87KgAEDct999+WAAw7ILrvskpNPPjn/8z//kwkTJuT73//+eo2zXbt2TcaUJO3bt2983blz5yRrf0/+Wdu2bXPmmWfmm9/85lqvweuvv55zzjkn55xzTm644YYMGTIkvXr1ymGHHZbrr78+l156aZP6zXHdAYDth78FAABQKGPHjs1pp52Wli1b5rTTTsvYsWM3+zkbGhpy77335t13302rVq02yzk+9rGP5d13380TTzyRJHniiSfy7rvv5thjj33fY3fcccckyfLlyzNlypRMnTo155577mqh3l577ZVhw4atcZVrsvHjXN/35PLLL88f//jH3HPPPWssv/vuu7N8+fJceOGFayxv3779evcJAPj3I8gEAKDZPPjgg6msrGzcTj755HWWV1ZW5oorrmgsX7hwYe65556cfvrpSZLTTz89d911V+rr6zdLf0eOHJnKyspUVFTkpJNOSocOHXL22WevVm/nnXdu0ucPfvCDG3yuli1b5vTTT2+8NfuGG27I6aefnpYtW67zuPnz52fUqFGprKzMAQcckJdffjlJMmDAgDXWHzBgQGOdDR3nmmzIe9K9e/d8/etfz8UXX5yVK1euVj59+vRUV1enW7du63Xu5rjuAMD2o3xrdwAAgO3H0KFD87Of/azxddu2bddZnqTxNvEkuf3229O3b9/stddeSZK99947u+yyS+68886cddZZzd7fCy64ICNGjMjs2bNzwQUX5Mtf/nL69eu3Wr3HH388VVVVja/fL3xcmzPPPDMHH3xwrrjiitx9992ZMGHCGgO/JDn44IPTokWLvPfee+nTp0/uvPPOdO3atbG8VCqt93nXd5xrsqHvyciRI/Pzn/88N9xwQ0455ZQmZaVSKWVlZevd7+a67gDA9kGQCQBAs2nbtu06A7L3Kx87dmz+/Oc/p7z8//9rakNDQ2644Yb1CjKrq6uTJAsWLFitbP78+av9jmZNTU369euXfv365e67784ee+yR/fbbL7vvvnuTer17926W25732GOP9O/fP6eddloGDBiQD33oQ2t8wnqS3Hnnndl9993TqVOnJufeddddkyTTpk3LPvvss9px06ZNa6yzyvqOc0029D1p3759LrroonzrW9/KMccc06Rs1113zYIFCzJ79uz1WpXZXNcdANg+uLUcAIBC+OMf/5hnn302dXV1mTJlSuNWV1eXCRMm5MUXX3zfNjp27Jiampo899xzTfYvXLgwM2bMWC3g+2c9evTIqaeemosuumiTx7IuZ555Zurq6nLmmWeus16PHj3St2/f1YK8vffeO/3798/3v//9NDQ0NCl74YUX8thjj+W0005bZ7vrO86NfU++9rWvpUWLFqs9Sf6kk05Kq1atctVVV63xuFVPZQcAWBMrMgEA2GKWLVuWOXPmNNlXXl6empqajB07NgcccEAOO+yw1Y7bf//9M3bs2Fx99dXve45zzz03V1xxRbp27ZoDDzww8+bNy6hRo9K5c+d8/OMfX+exX//61/OhD30ozz77bPbbb7/G/XPnzs3SpUub1O3UqdNG3er8uc99LieffPJGrzQsKyvL2LFjc8QRR+TEE0/MRRddlNra2kyaNCnnnXdeDjrooHzjG99YZxtrG+e/2tj3pHXr1vnWt76Vr3zlK0329+jRI9///vfz1a9+NQsXLsxnPvOZ9OrVK6+//npuueWWVFZW5tprr22s35zXHQDY9lmRCQDAFvPwww+nW7duTbZDDjkky5cvzy9/+cuceOKJazzuxBNPzC233JIVK1a87zkuvPDCXHbZZfne976XPffcMyeeeGLatm2b8ePHNz79e2123333HHnkkbn00kub7N9tt91W6/e/rvpcX6uC23++VXtDHXzwwZk4cWJ22GGHHH300enXr18uuuiinHHGGXn00UdTUVGxzuPXNs5/tqnvyRlnnJE+ffqstv/LX/5yHnnkkbzxxhs54YQT0r9//5x99tmprq7O+eef36Ruc153AGDbV1bakF8JBwAAAADYCqzIBAAAAAAKT5AJAAAAABSeIBMAAAAAKDxBJgAAAABQeIJMAAAAAKDwBJkAAAAAQOEJMgEAAACAwhNkAgAAAACFJ8gEAAAAAApPkAkAAAAAFJ4gEwAAAAAovP8HWHbEHnYbY94AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "forplot=selection_features[selection_features['Important']!=0].sort_values(['Important'], axis=False)\n",
    "\n",
    "sf_list=list(forplot.index)\n",
    "tt=[i for i in sf_list if sf_list.count(i)<0]\n",
    "unique=list(set(tt))\n",
    "for i in unique:\n",
    "    forplot=forplot.drop(i, axis=0)\n",
    "print(forplot.value_counts(forplot.index))\n",
    "plt.figure(figsize=(15,12))\n",
    "plt.scatter(x=forplot['Important'], y=forplot.index, color='darkblue', alpha=0.5)\n",
    "plt.title('Decision Trees ' + 'Feature Importance for LOO')\n",
    "plt.xlabel('FEATURE IMPORTANCE')\n",
    "plt.ylabel('FEATURE NAMES');\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Important</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FB26L</th>\n",
       "      <td>0.273228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HMPF45</th>\n",
       "      <td>0.178299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0.146542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HMPL2</th>\n",
       "      <td>0.137441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HMPF79</th>\n",
       "      <td>0.110759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of boxes</th>\n",
       "      <td>0.079216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FB35L</th>\n",
       "      <td>0.074516</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Important\n",
       "FB26L             0.273228\n",
       "HMPF45            0.178299\n",
       "Age               0.146542\n",
       "HMPL2             0.137441\n",
       "HMPF79            0.110759\n",
       "Number of boxes   0.079216\n",
       "FB35L             0.074516"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Modeling on the full dataset\n",
    "X=X_initial.drop(remove_bad_features, axis=1)\n",
    "\n",
    "DTall_model=DecisionTreeClassifier(criterion='gini',  max_features='sqrt', random_state=34071) #use the best random_state\n",
    "\n",
    "DTall_model.fit(X,y)\n",
    "feats_=pd.DataFrame(index=X.columns, data=DTall_model.feature_importances_, columns=['Important'])\n",
    "features_for_xcl=feats_[feats_['Important']>0].sort_values('Important', ascending=False)\n",
    "features_for_xcl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feats_for_plot=feats_[feats_['Important']>0].sort_values('Important', ascending=False)\n",
    "plt.figure(figsize=(6,4))\n",
    "#Plot Searborn bar chart\n",
    "sns.barplot(x=feats_for_plot['Important'], y=feats_for_plot.index)\n",
    "#Add chart labels\n",
    "plt.title('Decision Trees Classifier ' + 'Feature Importance')\n",
    "plt.xlabel('FEATURE IMPORTANCE')\n",
    "plt.ylabel('FEATURE NAMES');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,20))\n",
    "_ = tree.plot_tree(DTall_model, feature_names=feats_.index, class_names='01', filled=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|--- HMPL2 <= 21.46\n",
      "|   |--- class: 0\n",
      "|--- HMPL2 >  21.46\n",
      "|   |--- HMPF79 <= 178.11\n",
      "|   |   |--- FB26L <= 65.50\n",
      "|   |   |   |--- Age <= 16.50\n",
      "|   |   |   |   |--- HMPF45 <= 8.86\n",
      "|   |   |   |   |   |--- FB26L <= 61.25\n",
      "|   |   |   |   |   |   |--- Number of boxes <= 1.50\n",
      "|   |   |   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |   |   |--- Number of boxes >  1.50\n",
      "|   |   |   |   |   |   |   |--- class: 0\n",
      "|   |   |   |   |   |--- FB26L >  61.25\n",
      "|   |   |   |   |   |   |--- FB35L <= 61.50\n",
      "|   |   |   |   |   |   |   |--- FB26L <= 62.62\n",
      "|   |   |   |   |   |   |   |   |--- class: 0\n",
      "|   |   |   |   |   |   |   |--- FB26L >  62.62\n",
      "|   |   |   |   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |   |   |--- FB35L >  61.50\n",
      "|   |   |   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |--- HMPF45 >  8.86\n",
      "|   |   |   |   |   |--- FB35L <= 59.00\n",
      "|   |   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |   |--- FB35L >  59.00\n",
      "|   |   |   |   |   |   |--- class: 0\n",
      "|   |   |   |--- Age >  16.50\n",
      "|   |   |   |   |--- HMPF79 <= 175.43\n",
      "|   |   |   |   |   |--- class: 0\n",
      "|   |   |   |   |--- HMPF79 >  175.43\n",
      "|   |   |   |   |   |--- class: 1\n",
      "|   |   |--- FB26L >  65.50\n",
      "|   |   |   |--- Age <= 8.50\n",
      "|   |   |   |   |--- HMPL2 <= 24.50\n",
      "|   |   |   |   |   |--- class: 1\n",
      "|   |   |   |   |--- HMPL2 >  24.50\n",
      "|   |   |   |   |   |--- class: 0\n",
      "|   |   |   |--- Age >  8.50\n",
      "|   |   |   |   |--- class: 0\n",
      "|   |--- HMPF79 >  178.11\n",
      "|   |   |--- class: 0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "tree_text = export_text(DTall_model, feature_names=list(X.columns))\n",
    "print(tree_text)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}