{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.metrics import log_loss\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "from sklearn.pipeline import Pipeline, make_pipeline\n",
    "from catboost import CatBoostClassifier\n",
    "from xgboost import XGBClassifier\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data = pd.read_csv('data_for_model.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for 2016-17 season train on 2012-13 through 2015-16\n",
    "training_seasons = [12, 13, 14, 15]\n",
    "testing_season = 16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_model_features = ['Period', 'StartScoreDifferential', 'Time', 'Putback', 'IsRegularSeason', 'SecondsSincePlayStarted', 'ShotDistance', 'ShotAngle', 'is_OffDeadball', 'is_OffFTMake', 'is_OffFTMiss', 'is_OffFTOreb', 'is_OffLiveBallTurnover', 'is_OffTeamBlockedOreb', 'is_OffTeamOreb', 'is_OffTimeout', 'is_OffBlockedOreb', 'is_OffBlock', 'is_OffMadeFG', 'is_OffOreb', 'is_OffMissedFG']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RA training log loss: -0.6247\n",
      "2pt non-RA training log loss: -0.6685\n",
      "3pt training log loss: -0.6486\n",
      "RA testing log loss: 0.6197\n",
      "2pt non-RA testing log loss: 0.6739\n",
      "3pt testing log loss: 0.6503\n",
      "All shots testing log loss: 0.6478\n"
     ]
    }
   ],
   "source": [
    "training_data = all_data[(all_data.Season.isin(training_seasons))]\n",
    "\n",
    "at_rim = training_data[(training_data.ShotDistance < 5)]\n",
    "non_rim_2pt = training_data[((training_data.ShotDistance >= 5) & (training_data.ShotValue == 2))]\n",
    "jump_shots_3pt = training_data[((training_data.ShotValue == 3) & (training_data.ShotDistance < 35))]\n",
    "\n",
    "at_rim_xgboost_model = XGBClassifier(\n",
    "    random_state=909,\n",
    "    n_estimators=300,\n",
    "    max_depth=5,\n",
    "    learning_rate=0.1,\n",
    "    min_child_weight=3\n",
    ")\n",
    "\n",
    "at_rim_catboost_classifier = CatBoostClassifier(\n",
    "    bagging_temperature=1,\n",
    "    rsm=0.1,\n",
    "    learning_rate=0.1,\n",
    "    depth=7,\n",
    "    verbose=False, \n",
    "    random_seed=909\n",
    ")\n",
    "\n",
    "at_rim_pipe = Pipeline(\n",
    "    [\n",
    "        ('model', VotingClassifier(\n",
    "            estimators=[\n",
    "                ('xgb', at_rim_xgboost_model), \n",
    "                ('catboost', at_rim_catboost_classifier)\n",
    "            ], \n",
    "            voting='soft'\n",
    "        ))\n",
    "    ]\n",
    ")\n",
    "\n",
    "at_rim_weights = [[1, 1]]\n",
    "\n",
    "at_rim_param_grid = {\n",
    "    'model__weights': at_rim_weights,\n",
    "}\n",
    "\n",
    "at_rim_grid = GridSearchCV(at_rim_pipe, cv=10, scoring='neg_log_loss', n_jobs=1, param_grid=at_rim_param_grid)\n",
    "\n",
    "X_at_rim = at_rim[all_model_features]\n",
    "y_at_rim = at_rim.Made\n",
    "\n",
    "at_rim_grid.fit(X_at_rim.values, y_at_rim.values)\n",
    "print('RA training log loss: %.4f' % at_rim_grid.best_score_)\n",
    "\n",
    "non_rim_2pt_xgboost_model = XGBClassifier(\n",
    "    random_state=909,\n",
    "    n_estimators=100,\n",
    "    max_depth=5,\n",
    "    learning_rate=0.1,\n",
    "    min_child_weight=5\n",
    ")\n",
    "\n",
    "non_rim_2pt_catboost_classifier = CatBoostClassifier(\n",
    "    bagging_temperature=1,\n",
    "    rsm=0.1,\n",
    "    learning_rate=0.04,\n",
    "    depth=5,\n",
    "    verbose=False, \n",
    "    random_seed=909\n",
    ")\n",
    "\n",
    "non_rim_2pt_pipe = Pipeline(\n",
    "    [ \n",
    "        ('model', VotingClassifier(\n",
    "            estimators=[\n",
    "                ('xgb', non_rim_2pt_xgboost_model), \n",
    "                ('catboost', non_rim_2pt_catboost_classifier)\n",
    "            ], \n",
    "            voting='soft'\n",
    "        ))\n",
    "    ]\n",
    ")\n",
    "\n",
    "non_rim_2pt_weights = [[1, 1]]\n",
    "\n",
    "non_rim_2pt_param_grid = {\n",
    "    'model__weights': non_rim_2pt_weights,\n",
    "}\n",
    "\n",
    "non_rim_2pt_grid = GridSearchCV(non_rim_2pt_pipe, cv=10, scoring='neg_log_loss', n_jobs=1, param_grid=non_rim_2pt_param_grid)\n",
    "\n",
    "X_non_rim_2pt = non_rim_2pt[all_model_features]\n",
    "y_non_rim_2pt = non_rim_2pt.Made\n",
    "\n",
    "non_rim_2pt_grid.fit(X_non_rim_2pt.values, y_non_rim_2pt.values)\n",
    "print('2pt non-RA training log loss: %.4f' % non_rim_2pt_grid.best_score_)\n",
    "\n",
    "jump_shots_3pt_xgboost_model = XGBClassifier(\n",
    "    random_state=909,\n",
    "    n_estimators=100,\n",
    "    max_depth=5,\n",
    "    learning_rate=0.1,\n",
    "    min_child_weight=3\n",
    ")\n",
    "\n",
    "jump_shots_3pt_catboost_classifier = CatBoostClassifier(\n",
    "    bagging_temperature=1,\n",
    "    rsm=0.1,\n",
    "    learning_rate=0.08,\n",
    "    depth=5,\n",
    "    verbose=False, \n",
    "    random_seed=909\n",
    ")\n",
    "\n",
    "jump_shots_3pt_pipe = Pipeline(\n",
    "    [\n",
    "        ('model', VotingClassifier(\n",
    "            estimators=[\n",
    "                ('xgb', jump_shots_3pt_xgboost_model), \n",
    "                ('catboost', jump_shots_3pt_catboost_classifier)\n",
    "            ], \n",
    "            voting='soft'\n",
    "        ))\n",
    "    ]\n",
    ")\n",
    "\n",
    "jump_shots_3pt_weights = [[1, 1]]\n",
    "\n",
    "jump_shots_3pt_param_grid = {\n",
    "    'model__weights': jump_shots_3pt_weights,\n",
    "}\n",
    "\n",
    "jump_shots_3pt_grid = GridSearchCV(jump_shots_3pt_pipe, cv=10, scoring='neg_log_loss', n_jobs=1, param_grid=jump_shots_3pt_param_grid)\n",
    "\n",
    "X_jump_shots_3pt = jump_shots_3pt[all_model_features]\n",
    "y_jump_shots_3pt = jump_shots_3pt.Made\n",
    "\n",
    "jump_shots_3pt_grid.fit(X_jump_shots_3pt.values, y_jump_shots_3pt.values)\n",
    "print('3pt training log loss: %.4f' % jump_shots_3pt_grid.best_score_)\n",
    "\n",
    "testing_data = all_data[(all_data.Season == testing_season)]\n",
    "\n",
    "testing_at_rim = testing_data[(testing_data.ShotDistance < 5)]\n",
    "testing_non_rim_2pt = testing_data[((testing_data.ShotDistance >= 5) & (testing_data.ShotValue == 2))]\n",
    "testing_jump_shots_3pt = testing_data[((testing_data.ShotValue == 3) & (testing_data.ShotDistance < 35))]\n",
    "\n",
    "X_test_at_rim = testing_at_rim[all_model_features]\n",
    "y_test_at_rim = testing_at_rim.Made\n",
    "\n",
    "X_test_non_rim_2pt = testing_non_rim_2pt[all_model_features]\n",
    "y_test_non_rim_2pt = testing_non_rim_2pt.Made\n",
    "\n",
    "X_test_jump_shots_3pt = testing_jump_shots_3pt[all_model_features]\n",
    "y_test_jump_shots_3pt = testing_jump_shots_3pt.Made\n",
    "\n",
    "at_rim_predictions = at_rim_grid.predict_proba(X_test_at_rim.values)\n",
    "at_rim_predictions_df = pd.DataFrame(at_rim_predictions, columns=['miss','make'])\n",
    "print(\"RA testing log loss: %.4f\" % log_loss(y_test_at_rim, at_rim_predictions_df.make.values))\n",
    "\n",
    "non_rim_2pt_predictions = non_rim_2pt_grid.predict_proba(X_test_non_rim_2pt.values)\n",
    "non_rim_2pt_predictions_df = pd.DataFrame(non_rim_2pt_predictions, columns=['miss','make'])\n",
    "print(\"2pt non-RA testing log loss: %.4f\" % log_loss(y_test_non_rim_2pt, non_rim_2pt_predictions_df.make.values))\n",
    "\n",
    "jump_shot_3pt_predictions = jump_shots_3pt_grid.predict_proba(X_test_jump_shots_3pt.values)\n",
    "jump_shot_3pt_predictions_df = pd.DataFrame(jump_shot_3pt_predictions, columns=['miss','make'])\n",
    "print(\"3pt testing log loss: %.4f\" % log_loss(y_test_jump_shots_3pt, jump_shot_3pt_predictions_df.make.values))\n",
    "\n",
    "test_prediction_df = pd.concat([at_rim_predictions_df, non_rim_2pt_predictions_df, jump_shot_3pt_predictions_df], ignore_index=True)\n",
    "y_test = pd.concat([y_test_at_rim, y_test_non_rim_2pt, y_test_jump_shots_3pt])\n",
    "print(\"All shots testing log loss: %.4f\" % log_loss(y_test, test_prediction_df.make.values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Importance with SHAP Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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f,p=this.usedFeatures[Symbol.iterator]();!(c=(f=p.next()).done);c=!0){var h=f.value;a.features.hasOwnProperty(h)||(a.features[h]={effect:0,value:0}),a.features[h].ind=h}}catch(t){s=!0,l=t}finally{try{!c&&p.return&&p.return()}finally{if(s)throw l}}}}catch(t){n=!0,r=t}finally{try{!e&&o.return&&o.return()}finally{if(n)throw r}}var d=void 0,g=this.xlabel.node().value;if(\"sample order by similarity\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return t.simIndex}),(0,y.each)(d,function(t,e){return t.xmap=e});else if(\"sample order by output value\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return-t.outValue}),(0,y.each)(d,function(t,e){return t.xmap=e});else if(\"original sample ordering\"===g)d=(0,y.sortBy)(this.props.explanations,function(t){return t.origInd}),(0,y.each)(d,function(t,e){return t.xmap=e});else{var m=function(){var e=(0,y.findKey)(t.props.featureNames,function(t){return t===g});(0,y.each)(t.props.explanations,function(t,n){return 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e=(0,y.map)((0,y.range)(E),function(e){return[d[e].xmapScaled,d[e].features[t].posyTop]}),n=(0,y.map)((0,y.rangeRight)(E),function(e){return[d[e].xmapScaled,d[e].features[t].posyBottom]});return G(e.concat(n))}).attr(\"fill\",this.colors[0]),$.exit().remove();var X=this.mainGroup.selectAll(\".force-bar-array-area-neg\").data(this.currUsedFeatures);X.enter().append(\"path\").attr(\"class\",\"force-bar-array-area-neg\").merge(X).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(E),function(e){return[d[e].xmapScaled,d[e].features[t].negyTop]}),n=(0,y.map)((0,y.rangeRight)(E),function(e){return[d[e].xmapScaled,d[e].features[t].negyBottom]});return G(e.concat(n))}).attr(\"fill\",this.colors[1]),X.exit().remove();var Z=this.mainGroup.selectAll(\".force-bar-array-divider-pos\").data(this.currUsedFeatures);Z.enter().append(\"path\").attr(\"class\",\"force-bar-array-divider-pos\").merge(Z).attr(\"d\",function(t){var 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n.childContextTypes?u(\"107\",this.getName()||\"ReactCompositeComponent\"):void 0;for(var i in e)i in n.childContextTypes?void 0:u(\"108\",this.getName()||\"ReactCompositeComponent\",i);return c({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?v.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o?u(\"136\",this.getName()||\"ReactCompositeComponent\"):void 0;var a,c=!1;this._context===i?a=o.context:(a=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,a);var f=this._processPendingState(l,a),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,a):this._compositeType===_.PureClass&&(p=!y(s,l)||!y(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,a,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=a)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=c({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var u=r[a];c(o,\"function\"==typeof u?u.call(n,o,t,e):u)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))v.receiveComponent(n,i,t,this._processChildContext(e));else{var a=v.getHostNode(n);v.unmountComponent(n,!1);var u=d.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){l.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t,e=this._instance;return t=e.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==_.StatelessFunctional){f.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{f.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||t===!1||s.isValidElement(t)?void 0:u(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n?u(\"110\"):void 0;var r=e.getPublicInstance(),i=n.refs===g?n.refs={}:n.refs;i[t]=r},detachRef:function(t){var e=this.getPublicInstance().refs;delete e[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===_.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=x},function(t,e,n){\"use strict\";var r=n(4),i=n(358),o=n(163),a=n(24),u=n(12),c=n(371),s=n(387),l=n(167),f=n(395);n(1);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&(G[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML?v(\"137\",t._tag,t._currentElement._owner?\" Check the render method of \"+t._currentElement._owner.getName()+\".\":\"\"):void 0),null!=e.dangerouslySetInnerHTML&&(null!=e.children?v(\"60\"):void 0,\"object\"==typeof e.dangerouslySetInnerHTML&&V in e.dangerouslySetInnerHTML?void 0:v(\"61\")),null!=e.style&&\"object\"!=typeof e.style?v(\"62\",r(t)):void 0)}function o(t,e,n,r){if(!(r instanceof I)){var i=t._hostContainerInfo,o=i._node&&i._node.nodeType===H,u=o?i._node:i._ownerDocument;F(e,u),r.getReactMountReady().enqueue(a,{inst:t,registrationName:e,listener:n})}}function a(){var t=this;C.putListener(t.inst,t.registrationName,t.listener)}function u(){var t=this;S.postMountWrapper(t)}function c(){var t=this;P.postMountWrapper(t)}function s(){var t=this;N.postMountWrapper(t)}function l(){var t=this;t._rootNodeID?void 0:v(\"63\");var e=U(t);switch(e?void 0:v(\"64\"),t._tag){case\"iframe\":case\"object\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"video\":case\"audio\":t._wrapperState.listeners=[];for(var n in q)q.hasOwnProperty(n)&&t._wrapperState.listeners.push(k.trapBubbledEvent(n,q[n],e));break;case\"source\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topError\",\"error\",e),k.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topReset\",\"reset\",e),k.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[k.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function f(){A.postUpdateWrapper(this)}function p(t){Z.call(X,t)||($.test(t)?void 0:v(\"65\",t),X[t]=!0)}function h(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function d(t){var e=t.type;p(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var v=n(2),g=n(3),y=n(332),m=n(334),_=n(20),b=n(81),x=n(21),w=n(156),C=n(22),M=n(82),k=n(51),E=n(157),T=n(4),S=n(351),N=n(352),A=n(158),P=n(355),O=(n(10),n(364)),I=n(369),D=(n(9),n(54)),R=(n(0),n(93),n(79),n(95),n(1),E),L=C.deleteListener,U=T.getNodeFromInstance,F=k.listenTo,j=M.registrationNameModules,B={string:!0,number:!0},W=\"style\",V=\"__html\",z={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},H=11,q={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},Y={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},K={listing:!0,pre:!0,textarea:!0},G=g({menuitem:!0},Y),$=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,X={},Z={}.hasOwnProperty,Q=1;d.displayName=\"ReactDOMComponent\",d.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=Q++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(l,this);break;case\"input\":S.mountWrapper(this,o,e),o=S.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"option\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o);break;case\"select\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(l,this)}i(this,o);var a,f;null!=e?(a=e._namespaceURI,f=e._tag):n._tag&&(a=n._namespaceURI,f=n._tag),(null==a||a===b.svg&&\"foreignobject\"===f)&&(a=b.html),a===b.html&&(\"svg\"===this._tag?a=b.svg:\"math\"===this._tag&&(a=b.mathml)),this._namespaceURI=a;var p;if(t.useCreateElement){var h,d=n._ownerDocument;if(a===b.html)if(\"script\"===this._tag){var v=d.createElement(\"div\"),g=this._currentElement.type;v.innerHTML=\"<\"+g+\"></\"+g+\">\",h=v.removeChild(v.firstChild)}else h=o.is?d.createElement(this._currentElement.type,o.is):d.createElement(this._currentElement.type);else h=d.createElementNS(a,this._currentElement.type);T.precacheNode(this,h),this._flags|=R.hasCachedChildNodes,this._hostParent||w.setAttributeForRoot(h),this._updateDOMProperties(null,o,t);var m=_(h);this._createInitialChildren(t,o,r,m),p=m}else{var x=this._createOpenTagMarkupAndPutListeners(t,o),C=this._createContentMarkup(t,o,r);p=!C&&Y[this._tag]?x+\"/>\":x+\">\"+C+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return p},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(j.hasOwnProperty(r))i&&o(this,r,i,t);else{r===W&&(i&&(i=this._previousStyleCopy=g({},e.style)),i=m.createMarkupForStyles(i,this));var a=null;null!=this._tag&&h(this._tag,e)?z.hasOwnProperty(r)||(a=w.createMarkupForCustomAttribute(r,i)):a=w.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+w.createMarkupForRoot()),n+=\" \"+w.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=D(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return K[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&_.queueHTML(r,i.__html);else{var o=B[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&_.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)_.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=S.getHostProps(this,o),a=S.getHostProps(this,a);break;case\"option\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"select\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"textarea\":o=P.getHostProps(this,o),a=P.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":S.updateWrapper(this);break;case\"textarea\":P.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(f,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(r===W){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else j.hasOwnProperty(r)?t[r]&&L(this,r):h(this._tag,t)?z.hasOwnProperty(r)||w.deleteValueForAttribute(U(this),r):(x.properties[r]||x.isCustomAttribute(r))&&w.deleteValueForProperty(U(this),r);for(r in e){var c=e[r],s=r===W?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(r===W)if(c?c=this._previousStyleCopy=g({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(j.hasOwnProperty(r))c?o(this,r,c,n):s&&L(this,r);else if(h(this._tag,e))z.hasOwnProperty(r)||w.setValueForAttribute(U(this),r,c);else if(x.properties[r]||x.isCustomAttribute(r)){var l=U(this);null!=c?w.setValueForProperty(l,r,c):w.deleteValueForProperty(l,r)}}a&&m.setValueForStyles(U(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=B[typeof t.children]?t.children:null,o=B[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return U(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"html\":case\"head\":case\"body\":v(\"66\",this._tag)}this.unmountChildren(t),T.uncacheNode(this),C.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return U(this)}},g(d.prototype,d.Mixin,O.Mixin),t.exports=d},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(95),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" \";if(t.useCreateElement){var c=n._ownerDocument,s=c.createComment(u);return o.precacheNode(this,s),i(s)}return t.renderToStaticMarkup?\"\":\"<!--\"+u+\"-->\"},receiveComponent:function(){},getHostNode:function(){return o.getNodeFromInstance(this)},unmountComponent:function(){o.uncacheNode(this)}}),t.exports=a},function(t,e,n){\"use strict\";var r={useCreateElement:!0,useFiber:!1};t.exports=r},function(t,e,n){\"use strict\";var r=n(80),i=n(4),o={dangerouslyProcessChildrenUpdates:function(t,e){var n=i.getNodeFromInstance(t);r.processUpdates(n,e)}};t.exports=o},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&f.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=c.executeOnChange(e,t);l.asap(r,this);var i=e.name;if(\"radio\"===e.type&&null!=i){for(var a=s.getNodeFromInstance(this),u=a;u.parentNode;)u=u.parentNode;for(var f=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<f.length;p++){var h=f[p];if(h!==a&&h.form===a.form){var d=s.getInstanceFromNode(h);d?void 0:o(\"90\"),l.asap(r,d)}}}return n}var o=n(2),a=n(3),u=n(156),c=n(84),s=n(4),l=n(12),f=(n(0),n(1),{getHostProps:function(t,e){var n=c.getValue(e),r=c.getChecked(e),i=a({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange});return i},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&u.setValueForProperty(s.getNodeFromInstance(t),\"checked\",n||!1);var r=s.getNodeFromInstance(t),i=c.getValue(e);if(null!=i){var o=\"\"+i;o!==r.value&&(r.value=o)}else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=s.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=f},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(158),c=(n(1),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){var n=a.getNodeFromInstance(t);n.setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length,a=o+r;return{start:o,end:a}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(392),l=n(168),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(2),i=n(3),o=n(80),a=n(20),u=n(4),c=n(54),s=(n(0),n(95),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \",s=\" /react-text \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var l=n._ownerDocument,f=l.createComment(o),p=l.createComment(s),h=a(l.createDocumentFragment());return a.queueChild(h,a(f)),this._stringText&&a.queueChild(h,a(l.createTextNode(this._stringText))),a.queueChild(h,a(p)),u.precacheNode(this,f),\n",
       "this._closingComment=p,h}var d=c(this._stringText);return t.renderToStaticMarkup?d:\"<!--\"+o+\"-->\"+d+\"<!--\"+s+\"-->\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n?r(\"67\",this._domID):void 0,8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(2),a=n(3),u=n(84),c=n(4),s=n(12),l=(n(0),n(1),{getHostProps:function(t,e){null!=e.dangerouslySetInnerHTML?o(\"91\"):void 0;var n=a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange});return n},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a?o(\"92\"):void 0,Array.isArray(c)&&(c.length<=1?void 0:o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t?void 0:c(\"33\"),\"_hostNode\"in e?void 0:c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in t?void 0:c(\"35\"),\"_hostNode\"in e?void 0:c(\"35\");for(;e;){if(e===t)return!0;e=e._hostParent}return!1}function o(t){return\"_hostNode\"in t?void 0:c(\"36\"),t._hostParent}function a(t,e,n){for(var r=[];t;)r.push(t),t=t._hostParent;var i;for(i=r.length;i-- >0;)e(r[i],\"captured\",n);for(i=0;i<r.length;i++)e(r[i],\"bubbled\",n)}function u(t,e,n,i,o){for(var a=t&&e?r(t,e):null,u=[];t&&t!==a;)u.push(t),t=t._hostParent;for(var c=[];e&&e!==a;)c.push(e),e=e._hostParent;var s;for(s=0;s<u.length;s++)n(u[s],\"bubbled\",i);for(s=c.length;s-- >0;)n(c[s],\"captured\",o)}var c=n(2);n(0);t.exports={isAncestor:i,getLowestCommonAncestor:r,getParentInstance:o,traverseTwoPhase:a,traverseEnterLeave:u}},function(t,e,n){\"use strict\";function r(){this.reinitializeTransaction()}var i=n(3),o=n(12),a=n(53),u=n(9),c={initialize:u,close:function(){p.isBatchingUpdates=!1}},s={initialize:u,close:o.flushBatchedUpdates.bind(o)},l=[s,c];i(r.prototype,a,{getTransactionWrappers:function(){return l}});var f=new r,p={isBatchingUpdates:!1,batchedUpdates:function(t,e,n,r,i,o){var a=p.isBatchingUpdates;return p.isBatchingUpdates=!0,a?t(e,n,r,i,o):f.perform(t,null,e,n,r,i,o)}};t.exports=p},function(t,e,n){\"use strict\";function r(){C||(C=!0,m.EventEmitter.injectReactEventListener(y),m.EventPluginHub.injectEventPluginOrder(u),m.EventPluginUtils.injectComponentTree(p),m.EventPluginUtils.injectTreeTraversal(d),m.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),m.HostComponent.injectGenericComponentClass(f),m.HostComponent.injectTextComponentClass(v),m.DOMProperty.injectDOMPropertyConfig(i),m.DOMProperty.injectDOMPropertyConfig(s),m.DOMProperty.injectDOMPropertyConfig(b),m.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),m.Updates.injectReconcileTransaction(_),m.Updates.injectBatchingStrategy(g),m.Component.injectEnvironment(l))}var i=n(331),o=n(333),a=n(335),u=n(337),c=n(338),s=n(341),l=n(343),f=n(346),p=n(4),h=n(348),d=n(356),v=n(354),g=n(357),y=n(361),m=n(362),_=n(367),b=n(372),x=n(373),w=n(374),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof 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v={_enabled:!0,_handleTopLevel:null,WINDOW_HANDLE:s.canUseDOM?window:null,setHandleTopLevel:function(t){v._handleTopLevel=t},setEnabled:function(t){v._enabled=!!t},isEnabled:function(){return v._enabled},trapBubbledEvent:function(t,e,n){return n?c.listen(n,e,v.dispatchEvent.bind(null,t)):null},trapCapturedEvent:function(t,e,n){return n?c.capture(n,e,v.dispatchEvent.bind(null,t)):null},monitorScrollValue:function(t){var e=a.bind(null,t);c.listen(window,\"scroll\",e)},dispatchEvent:function(t,e){if(v._enabled){var n=i.getPooled(t,e);try{p.batchedUpdates(o,n)}finally{i.release(n)}}}};t.exports=v},function(t,e,n){\"use strict\";var r=n(21),i=n(22),o=n(50),a=n(85),u=n(159),c=n(51),s=n(161),l=n(12),f={Component:a.injection,DOMProperty:r.injection,EmptyComponent:u.injection,EventPluginHub:i.injection,EventPluginUtils:o.injection,EventEmitter:c.injection,HostComponent:s.injection,Updates:l.injection};t.exports=f},function(t,e,n){\"use strict\";var r=n(385),i=/\\/?>/,o=/^<\\!\\-\\-/,a={CHECKSUM_ATTR_NAME:\"data-react-checksum\",addChecksumToMarkup:function(t){var e=r(t);return o.test(t)?t:t.replace(i,\" \"+a.CHECKSUM_ATTR_NAME+'=\"'+e+'\"$&')},canReuseMarkup:function(t,e){var n=e.getAttribute(a.CHECKSUM_ATTR_NAME);n=n&&parseInt(n,10);var i=r(t);return i===n}};t.exports=a},function(t,e,n){\"use strict\";function r(t,e,n){return{type:\"INSERT_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:n,afterNode:e}}function i(t,e,n){return{type:\"MOVE_EXISTING\",content:null,fromIndex:t._mountIndex,fromNode:p.getHostNode(t),toIndex:n,afterNode:e}}function o(t,e){return{type:\"REMOVE_NODE\",content:null,fromIndex:t._mountIndex,fromNode:e,toIndex:null,afterNode:null}}function a(t){return{type:\"SET_MARKUP\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function u(t){return{type:\"TEXT_CONTENT\",content:t,fromIndex:null,fromNode:null,toIndex:null,afterNode:null}}function c(t,e){return e&&(t=t||[],t.push(e)),t}function s(t,e){f.processChildrenUpdates(t,e)}var l=n(2),f=n(85),p=(n(40),n(10),n(15),n(24)),h=n(342),d=(n(9),n(388)),v=(n(0),{Mixin:{_reconcilerInstantiateChildren:function(t,e,n){return h.instantiateChildren(t,e,n)},_reconcilerUpdateChildren:function(t,e,n,r,i,o){var a,u=0;return a=d(e,u),h.updateChildren(t,a,n,r,i,this,this._hostContainerInfo,o,u),a},mountChildren:function(t,e,n){var r=this._reconcilerInstantiateChildren(t,e,n);this._renderedChildren=r;var i=[],o=0;for(var a in r)if(r.hasOwnProperty(a)){var u=r[a],c=0,s=p.mountComponent(u,e,this,this._hostContainerInfo,n,c);u._mountIndex=o++,i.push(s)}return i},updateTextContent:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[u(t)];s(this,r)},updateMarkup:function(t){var e=this._renderedChildren;h.unmountChildren(e,!1);for(var n in e)e.hasOwnProperty(n)&&l(\"118\");var r=[a(t)];s(this,r)},updateChildren:function(t,e,n){this._updateChildren(t,e,n)},_updateChildren:function(t,e,n){var r=this._renderedChildren,i={},o=[],a=this._reconcilerUpdateChildren(r,t,o,i,e,n);if(a||r){var u,l=null,f=0,h=0,d=0,v=null;for(u in a)if(a.hasOwnProperty(u)){var g=r&&r[u],y=a[u];g===y?(l=c(l,this.moveChild(g,v,f,h)),h=Math.max(g._mountIndex,h),g._mountIndex=f):(g&&(h=Math.max(g._mountIndex,h)),l=c(l,this._mountChildAtIndex(y,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(y)}for(u in i)i.hasOwnProperty(u)&&(l=c(l,this._unmountChild(r[u],i[u])));l&&s(this,l),this._renderedChildren=a}},unmountChildren:function(t){var e=this._renderedChildren;h.unmountChildren(e,t),this._renderedChildren=null},moveChild:function(t,e,n,r){if(t._mountIndex<r)return i(t,e,n)},createChild:function(t,e,n){return r(n,e,t._mountIndex)},removeChild:function(t,e){return o(t,e)},_mountChildAtIndex:function(t,e,n,r,i,o){return t._mountIndex=r,this.createChild(t,n,e)},_unmountChild:function(t,e){var n=this.removeChild(t,e);return t._mountIndex=null,n}}});t.exports=v},function(t,e,n){\"use strict\";function r(t){return!(!t||\"function\"!=typeof t.attachRef||\"function\"!=typeof t.detachRef)}var i=n(2),o=(n(0),{addComponentAsRefTo:function(t,e,n){r(n)?void 0:i(\"119\"),n.attachRef(e,t)},removeComponentAsRefFrom:function(t,e,n){r(n)?void 0:i(\"120\");var o=n.getPublicInstance();o&&o.refs[e]===t.getPublicInstance()&&n.detachRef(e)}});t.exports=o},function(t,e,n){\"use strict\";var r=\"SECRET_DO_NOT_PASS_THIS_OR_YOU_WILL_BE_FIRED\";t.exports=r},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=!1,this.reactMountReady=o.getPooled(null),this.useCreateElement=t}var i=n(3),o=n(155),a=n(17),u=n(51),c=n(162),s=(n(10),n(53)),l=n(87),f={initialize:c.getSelectionInformation,close:c.restoreSelection},p={initialize:function(){var t=u.isEnabled();return u.setEnabled(!1),t},close:function(t){u.setEnabled(t)}},h={initialize:function(){this.reactMountReady.reset()},close:function(){this.reactMountReady.notifyAll()}},d=[f,p,h],v={getTransactionWrappers:function(){return d},getReactMountReady:function(){return this.reactMountReady},getUpdateQueue:function(){return l},checkpoint:function(){return this.reactMountReady.checkpoint()},rollback:function(t){this.reactMountReady.rollback(t)},destructor:function(){o.release(this.reactMountReady),this.reactMountReady=null}};i(r.prototype,s,v),a.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){\"function\"==typeof t?t(e.getPublicInstance()):o.addComponentAsRefTo(e,t,n)}function i(t,e,n){\"function\"==typeof t?t(null):o.removeComponentAsRefFrom(e,t,n)}var o=n(365),a={};a.attachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&r(n,t,e._owner)}},a.shouldUpdateRefs=function(t,e){var n=null,r=null;null!==t&&\"object\"==typeof 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import shap\n",
    "shap.initjs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgb_3pt_model = jump_shots_3pt_grid.best_estimator_.named_steps['model'].estimators_[0]\n",
    "\n",
    "xgb_3pt_explainer = shap.TreeExplainer(xgb_3pt_model)\n",
    "xgb_3pt_shap_values = xgb_3pt_explainer.shap_values(X_test_jump_shots_3pt.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "catboost_3pt_model = jump_shots_3pt_grid.best_estimator_.named_steps['model'].estimators_[1]\n",
    "\n",
    "catboost_3pt_explainer = shap.TreeExplainer(catboost_3pt_model)\n",
    "catboost_3pt_shap_values = catboost_3pt_explainer.shap_values(X_test_jump_shots_3pt.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# elementwise mean of shap values for each model to get shap values for ensemble per - https://github.com/slundberg/shap/issues/112\n",
    "shap_values_3pt = np.mean([catboost_3pt_shap_values, xgb_3pt_shap_values], axis=0)\n",
    "mean_ev_3pt = np.mean([xgb_3pt_explainer.expected_value, catboost_3pt_explainer.expected_value])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_index_3pt = jump_shot_3pt_predictions_df.make.idxmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "miss    0.41225\n",
       "make    0.58775\n",
       "Name: 43539, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jump_shot_3pt_predictions_df.iloc[max_index_3pt]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='i4U9EJRPNX3M9TB0AYUUO'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": -0.582978404257005, \"outValue\": 0.364378155047393, \"link\": \"logit\", \"featureNames\": [\"Period\", \"StartScoreDifferential\", \"Time\", \"Putback\", \"IsRegularSeason\", \"SecondsSincePlayStarted\", \"ShotDistance\", \"ShotAngle\", \"is_OffDeadball\", \"is_OffFTMake\", \"is_OffFTMiss\", \"is_OffFTOreb\", \"is_OffLiveBallTurnover\", \"is_OffTeamBlockedOreb\", \"is_OffTeamOreb\", \"is_OffTimeout\", \"is_OffBlockedOreb\", \"is_OffBlock\", \"is_OffMadeFG\", \"is_OffOreb\", \"is_OffMissedFG\"], \"features\": {\"0\": {\"effect\": 0.013211731156207163, \"value\": 4.0}, \"1\": {\"effect\": -0.019090458614098967, \"value\": -5.0}, \"2\": {\"effect\": 0.15210893711754422, \"value\": 25.0}, \"4\": {\"effect\": 0.0017770435630339177, \"value\": 1.0}, \"5\": {\"effect\": 0.48180584555242534, \"value\": 2.0}, \"6\": {\"effect\": 0.1546364685600429, \"value\": 23.2}, \"7\": {\"effect\": 0.1086772891228778, \"value\": 86.8}, \"8\": {\"effect\": 0.0026078762858995474, \"value\": 0.0}, \"9\": {\"effect\": 0.005321847403082513, \"value\": 0.0}, \"10\": {\"effect\": -0.0009048080084992335, \"value\": 0.0}, \"11\": {\"effect\": 0.0006215427068172307, \"value\": 0.0}, \"12\": {\"effect\": 0.03782032612293566, \"value\": 1.0}, \"13\": {\"effect\": 0.0014779292264045646, \"value\": 0.0}, \"14\": {\"effect\": 0.0008872082211979087, \"value\": 0.0}, \"15\": {\"effect\": 0.01413022123766533, \"value\": 0.0}, \"16\": {\"effect\": 0.00018058076933195335, \"value\": 0.0}, \"17\": {\"effect\": 0.001132137671018598, \"value\": 0.0}, \"18\": {\"effect\": 0.002178773818140368, \"value\": 0.0}, \"19\": {\"effect\": -0.005325391289527217, \"value\": 0.0}, \"20\": {\"effect\": -0.005898541318101533, \"value\": 0.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('i4U9EJRPNX3M9TB0AYUUO')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualize the max prediction's explanation - link='logit' shows probability values above graph\n",
    "shap.force_plot(mean_ev_3pt, shap_values_3pt[max_index_3pt,:], X_test_jump_shots_3pt.iloc[max_index_3pt,:], link='logit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_3pt, X_test_jump_shots_3pt.values, feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_3pt, X_test_jump_shots_3pt.values, plot_type=\"bar\", feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "miss    0.396427\n",
       "make    0.603573\n",
       "Name: 15281, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_2pt_non_rim_model = non_rim_2pt_grid.best_estimator_.named_steps['model'].estimators_[0]\n",
    "\n",
    "xgb_2pt_non_rim_explainer = shap.TreeExplainer(xgb_2pt_non_rim_model)\n",
    "xgb_2pt_non_rim_shap_values = xgb_2pt_non_rim_explainer.shap_values(X_test_non_rim_2pt.values)\n",
    "\n",
    "catboost_2pt_non_rim_model = non_rim_2pt_grid.best_estimator_.named_steps['model'].estimators_[1]\n",
    "\n",
    "catboost_2pt_non_rim_explainer = shap.TreeExplainer(catboost_2pt_non_rim_model)\n",
    "catboost_2pt_non_rim_shap_values = catboost_2pt_non_rim_explainer.shap_values(X_test_non_rim_2pt.values)\n",
    "\n",
    "# elementwise mean of shap values for each model to get shap values for ensemble per - https://github.com/slundberg/shap/issues/112\n",
    "shap_values_2pt_non_rim = np.mean([catboost_2pt_non_rim_shap_values, xgb_2pt_non_rim_shap_values], axis=0)\n",
    "mean_ev_2pt_non_rim = np.mean([xgb_2pt_non_rim_explainer.expected_value, catboost_2pt_non_rim_explainer.expected_value])\n",
    "\n",
    "max_index_2pt_non_rim = non_rim_2pt_predictions_df.make.idxmax()\n",
    "\n",
    "non_rim_2pt_predictions_df.iloc[max_index_2pt_non_rim]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iV52ZC7ZREP0Z0OYKR1OI'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": -0.42618803706789343, \"outValue\": 0.42946092674633174, \"link\": \"logit\", \"featureNames\": [\"Period\", \"StartScoreDifferential\", \"Time\", \"Putback\", \"IsRegularSeason\", \"SecondsSincePlayStarted\", \"ShotDistance\", \"ShotAngle\", \"is_OffDeadball\", \"is_OffFTMake\", \"is_OffFTMiss\", \"is_OffFTOreb\", \"is_OffLiveBallTurnover\", \"is_OffTeamBlockedOreb\", \"is_OffTeamOreb\", \"is_OffTimeout\", \"is_OffBlockedOreb\", \"is_OffBlock\", \"is_OffMadeFG\", \"is_OffOreb\", \"is_OffMissedFG\"], \"features\": {\"0\": {\"effect\": -0.0011982801786901663, \"value\": 4.0}, \"1\": {\"effect\": 0.030802927030121493, \"value\": -26.0}, \"2\": {\"effect\": 0.11520097521307225, \"value\": 33.0}, \"3\": {\"effect\": 0.08249646338030886, \"value\": 1.0}, \"4\": {\"effect\": 0.005692737367816528, \"value\": 1.0}, \"5\": {\"effect\": 0.5028380102468482, \"value\": 0.0}, \"6\": {\"effect\": 0.06992912419844174, \"value\": 5.5}, \"7\": {\"effect\": 0.0005552825795449527, \"value\": 42.1}, \"8\": {\"effect\": 0.00029964799643803625, \"value\": 0.0}, \"9\": {\"effect\": -0.002034087025091556, \"value\": 0.0}, \"10\": {\"effect\": -0.0003230113162063355, \"value\": 0.0}, \"11\": {\"effect\": -8.735766291044122e-05, \"value\": 0.0}, \"12\": {\"effect\": -0.002818290397004321, \"value\": 0.0}, \"13\": {\"effect\": 0.006646323172961028, \"value\": 0.0}, \"14\": {\"effect\": 0.0023783736804407077, \"value\": 0.0}, \"15\": {\"effect\": 0.009269606578995105, \"value\": 0.0}, \"16\": {\"effect\": 0.005855360659136111, \"value\": 0.0}, \"17\": {\"effect\": -0.00030458761726101627, \"value\": 0.0}, \"18\": {\"effect\": 0.014348382817244858, \"value\": 0.0}, \"19\": {\"effect\": 0.020530182456442662, \"value\": 1.0}, \"20\": {\"effect\": -0.004428819366423416, \"value\": 0.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('iV52ZC7ZREP0Z0OYKR1OI')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.force_plot(mean_ev_2pt_non_rim, shap_values_2pt_non_rim[max_index_2pt_non_rim,:], X_test_non_rim_2pt.iloc[max_index_2pt_non_rim,:], link='logit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_2pt_non_rim, X_test_non_rim_2pt.values, feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_2pt_non_rim, X_test_non_rim_2pt.values, plot_type=\"bar\", feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "miss    0.017759\n",
       "make    0.982241\n",
       "Name: 51120, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xgb_at_rim_model = at_rim_grid.best_estimator_.named_steps['model'].estimators_[0]\n",
    "\n",
    "xgb_at_rim_explainer = shap.TreeExplainer(xgb_at_rim_model)\n",
    "xgb_at_rim_shap_values = xgb_at_rim_explainer.shap_values(X_test_at_rim.values)\n",
    "\n",
    "catboost_at_rim_model = at_rim_grid.best_estimator_.named_steps['model'].estimators_[1]\n",
    "\n",
    "catboost_at_rim_explainer = shap.TreeExplainer(catboost_at_rim_model)\n",
    "catboost_at_rim_shap_values = catboost_at_rim_explainer.shap_values(X_test_at_rim.values)\n",
    "\n",
    "# elementwise mean of shap values for each model to get shap values for ensemble per - https://github.com/slundberg/shap/issues/112\n",
    "shap_values_at_rim = np.mean([xgb_at_rim_shap_values, catboost_at_rim_shap_values], axis=0)\n",
    "mean_ev_at_rim = np.mean([xgb_at_rim_explainer.expected_value, catboost_at_rim_explainer.expected_value])\n",
    "\n",
    "max_index_at_rim = at_rim_predictions_df.make.idxmax()\n",
    "\n",
    "at_rim_predictions_df.iloc[max_index_at_rim]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='i4P4PP800L18XAI99UENR'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": 0.38957971844175443, \"outValue\": 4.087130919371129, \"link\": \"logit\", \"featureNames\": [\"Period\", \"StartScoreDifferential\", \"Time\", \"Putback\", \"IsRegularSeason\", \"SecondsSincePlayStarted\", \"ShotDistance\", \"ShotAngle\", \"is_OffDeadball\", \"is_OffFTMake\", \"is_OffFTMiss\", \"is_OffFTOreb\", \"is_OffLiveBallTurnover\", \"is_OffTeamBlockedOreb\", \"is_OffTeamOreb\", \"is_OffTimeout\", \"is_OffBlockedOreb\", \"is_OffBlock\", \"is_OffMadeFG\", \"is_OffOreb\", \"is_OffMissedFG\"], \"features\": {\"0\": {\"effect\": 0.16386159218199461, \"value\": 5.0}, \"1\": {\"effect\": 0.031494335831554365, \"value\": 4.0}, \"2\": {\"effect\": 0.028296425378118596, \"value\": 200.0}, \"3\": {\"effect\": 0.06093567042449067, \"value\": 0.0}, \"4\": {\"effect\": -0.00018742708267849317, \"value\": 1.0}, \"5\": {\"effect\": 0.6517590849063158, \"value\": 2.0}, \"6\": {\"effect\": 1.525431459882876, \"value\": 0.1}, \"7\": {\"effect\": 0.6012571711829682, \"value\": 0.0}, \"8\": {\"effect\": 0.0014799890108016063, \"value\": 0.0}, \"9\": {\"effect\": -0.006251805852490833, \"value\": 0.0}, \"10\": {\"effect\": -0.0002077145761196986, \"value\": 0.0}, \"11\": {\"effect\": 0.0009823692984400301, \"value\": 0.0}, \"12\": {\"effect\": 0.5312787645404968, \"value\": 1.0}, \"13\": {\"effect\": 0.0008249025140439443, \"value\": 0.0}, \"14\": {\"effect\": -0.00016188461996881755, \"value\": 0.0}, \"15\": {\"effect\": 0.008187825952670308, \"value\": 0.0}, \"16\": {\"effect\": 0.0072377611183746604, \"value\": 0.0}, \"17\": {\"effect\": -0.0007152661479383549, \"value\": 0.0}, \"18\": {\"effect\": -0.0015045755831893195, \"value\": 0.0}, \"19\": {\"effect\": 0.10234457521077683, \"value\": 0.0}, \"20\": {\"effect\": -0.008792052642163107, \"value\": 0.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('i4P4PP800L18XAI99UENR')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap.force_plot(mean_ev_at_rim, shap_values_at_rim[max_index_at_rim,:], X_test_at_rim.iloc[max_index_at_rim,:], link='logit')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UJHJcVjS31jxKA1uJkzCAvlTs3SOC7sYmBNBWLtKVbYjDjyaqXQxVQaYRBImwG0p1TdWT5SVeH5OIrX4/Rdnz8XREJgzwo4gwHYsuR2uMjsO1QmtC10VgBuaoMgY3iuKyRuNpTTkRlQIGeSRjz5ZZ6/wNEK9xiMfP9SZj6arCrNrmfCpdC/c6SXsqnjcwHi5JkiDJmhVGkw5Dyq5L2fWIGBC69WMDSezFmJqdhbrED+04lETcntqYu6owS7x7oRuHezNhiDCabBiSJ4Wu7lM956IaBnfwjKbgefihrvVCtdZ47F5EJREGHnEySTlJIImnfwEjnLWE3pI+AX3wjfuLA97c5DtQ7SeIk2vMEEG4vh9ZPQEsyScfKrByUbz48OL4/2vda+1So2zgr68b/vp6fv2FdgCe74C9r1m51vqsBxUN01pdvvPeFj56Sxc9ZUNrRvDAOeNoy60t7n7zbJ7L/tZLzhccPyfDzc8VaM44XPuBURwwKbUtmvOmGIkuLeup24pIKUcDHcAeSqmX1rH9MmIP3hPA2cnqHyulvlJX5gjg28AcYo/b1Uqpa5NtPUAzUCD+fl6plLo88dRdopS6cUh9/wtklVKHJJ9r5aSUbcBPgaOJ77VLgE8Q/5i+H0gl9UAsSp8EbgTeAeSA14CLlFL3Jsc+E7gEuAb4AtAA/A74lFIqSspMB64CDgWywIvA+5RSa5K++zZwLJBJbDhfKbX23WfLs+kXxbFfgcdfjpeFgNd+AmNaYMrHoKdQK6aTkFp9qGw4LGwdDUBLuQjEwqK5XKLsevRmMpB4nvp9n7ZyKUk+iD1Rro4o+ClGFQfsWJNtqIVjo8RDAzBn5TKyYQDEIbx/jhlP6HoUUmkEMLGni9GFfpY2tbKyuYVMUEEYQyGTBZIxXcLBOE4c4hWCXKVMY6Vcq7uQiC+iqOapq9qBgUIqjRagqw/4ei/VOgiB0PXozQ6ElXKVMulKhWIqhXHdWqIAQMVx49Bk4hmqijNdd3w/DAk8Dy0E3ekMTUmfxI00eFpTcWMBVvMaJqHWqpAIXJei56/lJUQINFCsT7TQGj8R4N25gXY0loroOoHrhyGO0eQTwVw/TrLsOLjGxOHnuj51jSHvpwgST10EsScwscfRuia++lJpejNZGiolmsolgiR5I51k7fZlsmAM6TDEM3rQuTFAwfXiULUxGAGZaMAXFThOzVtYJUpCz/V9u77zXLVdu2sL/uHsa3nzjG90WNE/8B07YU6GH544alCZUmjY4+rlhOuYI3nfCT5/On3M5piwVU5oYYinLjcCPHU758CFbYRSag2xULleSnm6lHL3xHNWz+HAImAi8D7gYillVXTNAP4C/BgYDZwJfEtKeXKy7z7J/92UUo1Kqcs3YtLNwMFSynUNpvg8sTibBrQCHwCWKKUeIxZ385M6GpVSDxB/d/4AzE5s+w1wq5Sy/sqdBowDZgEHAicD/5a0LQfcB6wiFqztxN7EStJHtxFrgz2T4/QBv95I+7YIfX19m7wc1ulB44g4xgNoZ8hp34Rbh4baAPtaHclfyR8IYaV0VMuC1HUej8hxSdWF6QxQ8jyCWkg1frCnwwAnGV8H8dirXBCQ1hGtxTxvX/Aq07o6aC6XmNuxgpmdqymmM3GmZN2xSTxn1dBgPJXGAFHyWSTiRhOHEx1jcDCkowBh4oSDpOBgcTcEBwiH9LOGJOM1DgVpIagIEWfVGkOuUqYhqJCJQlImzv50ja7VVUn6tTeTpZjJ1vqK5Fz0pdIUfZ/ASTJTRZJZm3hCtXAoJkK4ZntVdJjYk+lVBU+SKGKSc5itlHGjiFQYIIY02dQlkzjr6Q9R9+caQ8lx43M0xLNZ7dt6T2tTpcyY/h7G5PvJhiHNQZmGSgWEoC+TRRhDNgxwjSZMwsBVewSAE4vZ0POIXI+iGwvjUAgqbjW0N6Q9g4zf8AViXRHblqG3L89Z+x4o1lGufv/Nua9uLWpjPId8/3dkbPh163Mk8FngQmKB0i2l/AHw9WT7K0qpnyTLj0spnwUk8H/Ah4FnlFI31G2/ltird8sm2LKE+NnXxoDXrUqFWJztBvxdKfXKhg6klOon9tRVuUpKeRGxeLsrWVcEvpx45l6TUv4tadtNxN6+LPAZpVRVaTwOIKWUwAHAO5VS5WTdF4AOKeXk+vGDW4OmpqZNXvb+6yw48/uwpg/x5VNgdDMAznXnwTk/gp48jGkh+sR7CK/6I16hNCybNNCdzZEJKrQW84mIi8OqoRC1EFS1bOB6EAaDxaMxjOvvRSPQjoOjI2hqoT+Vxk/mNpvcvYZMFE+VoYVDOgzIp1JM7ukin05T8Py1fglO6uni9fZxBHVjt+oH82fDgHQYInREY6lI2fPo8zNxaBBwjE6OaWpPawO4kcYRetC8b8A6H/hVcZsNQsp+POGvozXZoIJAkNIRXhQO8lySCNeq1zRKQsj1Aqq2LRGg3dkGMkGFbFCJxUnVGzZEWIWOg4dAGE2mUiYVReRTKXTivaxvRzoM8MMQIeJEkCDxQKWjiFQU1ULStRC3MQitCZK6qzZWQ8BVe4b2Ui0DlQGxV2916DgDAhNwzeCvj8DE3zNjSEVhTUx6xlByPdy6xAgSr2W1TOi69KczZKIQYeIMYzcKcZL58MrukEfRUK9snfetGs4Nq2HsoeHXRLSuk6qwHiEP8K1JU0qAgBltHt95Tyun3bKGlf2aCU0O33h3Kw2pgTtB9R74nfe28rW/9dKQEhw/J8tv/lGgNSu4/NhWmpr8tcoPd9kyfKyo28oopTqIEyIuTrxTHwKuA5YmRYbmr+eB6rd5CnEiRD2vAyduojmTiZ8PXevYdhXx0K3/ASZIKe8AvrC+cKeUMpvs815iL5tO7K731K2qhloT6ts2ndj7t64R3jOANLAy1nc1SsBUYnH61mTPaaD+a+31x+4HC6+vffQBPreR05gvwvIuwlwaMX8FbU+9BoUSpf95AK+jn4gIEwZUXBe/XKIvGZvlJZ6xgp/CTR5wfhTRUirWsjDREV3ZHMVUmmwY1BIdvLownnYcVjQ1M7GvF4BMIaRlHQ/Dop9a60FZDbtVcYgHvq/JNVJxXHwd4UchgesNegBXRUkoHBCxxyoQAkcPiIT67EvDwCDzqjBsK+Tj12ElHs2K49SEWv04sEgIiskgfSdJWtCOgxFVD5+g6Ps0VCo0lotxskQyvk2sI+GlGk43QiCEoJhKU/Q8XK3JhQEN5TL9mexAe+sSAqotGnrc6kTCQoh4kuKkf4QjMAK8MKTi+7WxcyRljTNYesdCSFB/sYnEc1n9r+v63wCB68Ze22o/J9OvtBXyFFKDx0dVXLc2JUrF9WrTwkR106ykk+lQDMRiVQgK9UkSVSFXJ5BFMjFzg+9w+C4OR81u4tAZGZb3Roxv9hnT6OIIQRhFhDrOmk25Tu1dt0IIKmFEoMFzDPe/XuL/FpRp8CLueS1kYiNMbnVxheDgaRlSrkMp0BjhYnTI35eWeHZlxOsd4DuQ8aC7BG0pGNXscNyuGc6UjWhjaM36iflrJwdUovhnh0iaVw41nUXNQ/OL/OqZPC93st04dDLc9JGNv43iyU9vfE7KE3fPceLuA4GgLxzRvFm2Wd48VtRtQ5RSBeAGKeX5wL7Axi7lxcSiqZ6ZyXpYOyFrY5wCPJHYMdS2PPAl4EtSyvHEXrirgNPXU89niUPHxwALlFJGStnB8AOLC4AZUkp3iPADWEgsAEcppd5sG0cODVnYJRtfpBNHw6F7AJD70inrLD7qp3+l9J83ko5CRhf66c1k6ck1AvFYMwM0Fw3Z5OErEg+Urr6lNPnsmfh0aKCpNNiTWPWIVR/8HbkGXmsfN9izYpK3NOiBMGa8syFVqfDOxy/hn1+7jYX3vwrJXG1VL1B1ALxrDI6uJhrEoeTIJEIkCYlWx+3pRHxgDPJzR/DyXS9RzpfpWpYHEY8Zq4aT68e6hXXexHqhKIjFQNFPka2UEUaTigztvd1ox8XBEHjeIM+Zm4RSq9N2CMBNpitpKpfwEm9kNcRd7cfQdWMhXedlqtmRJE1UM0vrx8hpwDhxu4MksaIm2EmEZdLO6hEzYYWCSNfGDFbD3sZ1a+ev6j0NiYVX1YOmk/NYTOavA9BJgks5eQuIMIYw7mBSYUDF89GuW7t5GBPPc2eSftNC8JE9PD7z7jFkPZeM7ww7U3LsECeO57p4dQ7d+uOkPJeqBD1ut0aO2y2+Jr54zMbrOWnvlmHZU8+62pByq77Rqk0OTRk47YAUpx0wUMeSnpBDfrJ1pzRxgfvOGc30UemNlrXseFhRtxVJkg++QBxufJn4Pn4icRj2CmCPjRziN8ClUsrTiceT7Q98HPhksn018f19NhvwXkkpZxOLsEOIRdi6ypxAnOzwCtBP7BWriq0VwFgpZbNSqjdZ1wyUgTVAKgm9tm6kPfXcSZwIcbWU8lJiESeJxyAq4B/ANVLKrySJE2OAY5RSv30TdexUZM89luy5xwJQ/Obvabni9zgG+tNpQschEwbkopAlLW00lUu0loqM7+thTbYBX0dkKxWWtrQwulDA05rVjU04UcSua1bhJkJtZWMzvdkcrcUC2VKRJXvvgr+wA6KIdBhS8T3MjLEc8af/ICoHLPr+Pax6YSmivZlRe01ml48ehuM57HXFh9gL+OPBV6Bdh5o/JxlXVj9Zr6M1FRFP/eEAfliJpwYRDi4aX8den5P/eDbZthx7nLDPoH7pXtbLr8/4NSLJzqxOZTJ0nFq9t9HVmpZinn7PxxiH0VObWL40H8+lZwzpIKDkOOB6g4TiUHwd1TyGVdFXe+gLgUimoalKyqheXNZ5TV1jMFFE6LqJ8HVr3sGqV1EnyRCQzJeXzGlXnatPaE0uKNdeN7a8qTmesiSIx8Z5DIyx8+q8TdUQNUKQCiPKbnwujBB45RIYjZzs0+jneOLVIn4QkMIgtCFwXXR1vCGxwHSM4bmv7bq+r/FOzeSWLf9IPmPfNEfNynDULg1b/Ng7OiNlHF09VtRtXSrAWOKEggnEP4AXABcopW6RUm5Q1Cml3pBSvpd4nrsfEIurS5VSv0u2FxNB9BspZQa4Sin1jWT366WUPyaZqYJ4nrr9lFLz1lPdLODqxM4icbbpRcm2+4F7gTeklC6xMP0vYpG5DOgGvpe0bVgopfJSyqOB7wKvEmfXPg+cqJTSUsoTgcuBp5NM2FWJDVbUDYPsxR+Eiz9IK9D8yEss/9DV5H2fhkqZKT1d9PopOrINtBbzeFFA6Hjx1BXFkIrj0JPOkC2XaSyXWJ1rpOx58VQRUUibCHFOPJCmb5/Gfo3r/7XveGlmXfw+Zm3ATkdrQterzTtH8gYFV5uaQNFCsO9ZB7HXxw7bpL5ondjMgWcdyFM/exLfaALh1KbWMFEc6nWT8XxVT5XQEWVg0uzRvO8z72D01LZBxyz2l3nsDy/wwB9fjgVoEr526pId4taYQZ7NoQkJVe9kVYBhTPyqsWRajupUJdUkGaIIkUwz4iWZvNWMW51M4uyGYSzyEuFVra3mKzIQ6oi2fB97zmjguTc0aR0Nmg9wfR4zF0NjuUgFQeB5zJzezC/PGzx95W3PdHHFbcsRYUTWROw6McPPPz6NtGfz8obD/M9PQF6znM7yxstuiF1a4W8f33hY1TKysFOaWCxrM/Iuio5eomv+TG93kdKfnsQvBLjGELoeHQ2NZFvSTLj7PwlXdFJ5djFGGNyOHvT9L1Fc3YsXBOiD5jD2Bx/D2chL7t8MvUu6uP+DPyEyghQGrTWR6xIm3isDpNsbOeH2T2+xOu/4+r0sevB1hIizgzXEEzknWbHVl3J96tbTSWX9DR7rK//6W/woJEo8dtVpTaph6ExQIXA9XB2/xbY3nanNAQcQIfB1RJRkhl7wxbex657x+zrPPeOuWCzWZctWXC/JOk3CpULQ5fu4iVCtrg+S0HLVe1dNtggdh750howOue3772DhigKfuOKFeOxi/STMRkPi1YyEoOjGY9cwhrGjfX73n3ttsfNhWT/Trlw27LLXn9TC26Zkac6MSPG8VVxqfWPOHHSvb1p9ww7vurOizmJZG3tRjHDK+QqdC9dQ7C5QCTRhKaCSD+lZ3c90OYVDvrQtAAAgAElEQVTp+01GrG9+hjoeu3Mef/nFs3GoNHk3bTx9CfhhHHrN+6mapy0QTjypcFU8JSHWXJPHp790KBOnDXgEf3Hdszzy2MraZNTVofYa4jF62pBpTvH9HxxDsRQQhpp8IaRUDJk8qYlTz3soDpPG5hABvZkcRgg+9d6xfOCYKQAc+5knyBiDIBZw2sS2RkbjNaQ5aE4LXz5tJs4w+sOyZXkzom7hRSPaK2dF3TCxos5iWRt7UViGzYuPLOC2ax6lFIJxPTSCxqAcJxG4LkU/jTGaw06NQ9UnnHDCsI/d013irjtfY/GiHvr6Ag562yROOHH2sPadv6iPi771TC2UGgiH0HWZPMrlx5cdNKjsJ775NItXVJIQMeyxSyNXnW+9cdsbK+pqbBWx1Tv2o4Pu9c2rfmFFncUyArEXheVNs3JRDz/43D3Jlyf2j2kRB5FFGPL2j8ZZl29G1Fl2bi68bRV/fHnd7/Wt5/R9U1z+7vZtYNF2w4q6YTIig+8Wi8WyrRk3tYV9jpgajwdMMlO9KMKNIi751b9ub/MsOyDfe/9YXv/8BP565ijuOG3dkwvMHSNGuqDbapghfyMBm/1qsVgsW4iTzzuYk887eHubYRlBeI5gt3EZABZetK43PFosA1hRZ7FYLBaLZafDzlNnsVgslnWybMEafn/BrbzuNxP4aS649GDm7DFhe5tlsVh2Iqyos1gslk3kz++4gky+xPTeLiLHYXL7WKI2h3njW/jUz5dx1riX+cgXjtzeZloslnVgtk7+xXbFJkpYLBbLm2Tlih5uesd3KDg+YcpnRXMLPZkso8olRpWL+DpiQn8vTz+1Gh0OfbWxxWKxbB2sp85isViGiTGG777nZwTpFK2NjcxevZL5o8fQn86y2+rlZKKQyb1dTHmug6Utowkcwb3yct797GXb23SLxTIEM/IcdVbUWSwWy3AwxnDNu36Mm0oTakPeTzG62M/U+Z08PWEKzcUCE/p7CRyHMf197Ld8CQDPjZvI88dcDhfuu51bYLFYRjo2/GqxWCzD4Hvvvg48n46GJtqLecYV+pk3diK3z92X+3fdi5sOOJT5o8YwulhgSUsbnZkcfekMU7s7Wdjr0P75v23vJlgsljril+MN/I0ErKfOYrFYNsIPj7+OMaUCL4+ZQFO5RDqKZ/kPXZeXx05EOw4auH33/dl3+WKenjKDA5csiHc2hjmrljO1ew3h6TezMvVHSn6KpY0thALGfPRw5n7hX7Zb2ywWy8jBiroRhJTyMuBQpdQ7t7ctb5Yd2XbLyOb5v75IS18eIyDwfcpmcOKDqzXaiYMevg55YsrM5PVgCUJQcT36MllcY8joiGypSHuxgDCG/7vxCRb87u9EYYA7sZl3/fIsnLYmHNfdJu3b0PtF5Vi4+YzxeI4N6lhGICPDOTcIK+p2MKSUM4ErgcOARqALUMApW+DY04E3gClKqSXr2H4dcDZwpFLqwc2tz2J5q/OLd15NqmzoT+eoOAKMoZDK8NiUmeyzbBEVP8WoQh9rGpoBw7z28dw/ay5Hvv5P3rZ4PhC/fiilI7pzjQijaSkUyEVB7Xly2OLXiRLh90ZpDP9x4cNM6erAjSIOWvIGFcflhn0PYlKhm/O+dDiT95u62e2KtGbmVSs2Wk6tglnrKPfMeaMZ3ZDebDssFsuWxYq6HY+7gL8CuwG9wCTgeLbybw4pZTPwYaATOBewos6yzVj2wgo6F3Uz7cDJNLY38Pr/LWDxs0t5/bGFFDuLgAY9eJ/mQh7jOORTabQQNARlspUKmTCgPd9H9ZLZd/kiDIJ/TJiMqw2N5SLLmkcRCcGSqTOgyUEnM883lIpkw4D3L3yNVBTy8pjx9GSyTO3uoCudZfdyiRUtbTw2bTbHvPoi07rWkA5DRLK/EQ6R4wy6WB1jyEQRRS/FV449iZfGTyYVBowu9HPdIe9EAF+/+xaufduRHHWn5ujv3cWkni4emrkbr40eSzoKEcZQ9n20k3j3jIHqbPn1yzB4eRPZ/4dr1rvNSarIeuAJCDS4DjgCKhE0Zx1Ompvl6F0y/PGlIqOyDnPGeDy6qMKkZpf5XQELOiOmtnq0NzjMHOXx/PIKK/OaD+yRI+MJHltYRggY0+Bw3K5ZprXZR5nlzTNSxtHVI4wZKa+xHflIKUcDHcAeSqmX1rH9MmIP3hPEHjWAHyulvlJX5gjg28AcYDlwtVLq2mRbD9AMFIgdDFcqpS5Ptn0S+DpwPvBzYJJSak2ybTqxh+904D+BKcBjwBlKqeVJmfHAdcDhwEpib+P1wAyl1IKh4VcpZQ74GvCvQAvwJHCeUuq1Te7A4WMvircQrz38Bnd/629gINeWZebbp/HCXfM2/YDGMHfFMv45YRIALcUCH372cRxt+PukqUzo7WFNQyP37ronJgk7hkJQcV06sw04QGO5zNGvvURzuch9M+ewtHUUc1ct47D5r7C0pY1xfT387KDDyYQhZ6iHSWldq7u5VCAThvhagzH4OsKtuw//efd9ufKo4/GMxgCduUamd67mW3f9juPP+txabdkSIm1HpikluOujY5jaaoXdCGarfMk7Jpwz6F7fvvy6Hf5isgMldiASEfUicL2U8nQp5e5SyqFfwsOBRcBE4H3AxVLKQwCklDOAvwA/BkYDZwLfklKenOy7T/J/N6VUY1XQJZwL3ATcAvQl+w7llKT+SUADsSirchNQIRZ8hwKnbaS51xELz4OB8cRC9Q4ppb+R/SwjjDeeXFST2YWuIvMfX7h5BxSClc0ttY892RzdmRwuhrLrMamvmxfHTxq0i2cMRdejP52lN5NjWUsbD8yagwEm9HRyzLznuHPuPpx98se47Nj3c91BRyCM5qGZu/HbfQ8mEA65SonWYp6Sn+KXBxyCH4WkonCQoAOY0NuNZ2IRKIBsUKE9389eK5Zy9KsvrtWWnZ2+iuHJxZXtbYZlB8SIwX8jASvqdjyOBB4ALgSeBVZKKS+tE3evKKV+opQKlVKPJ2Vksu3DwDNKqRvqtl/LgFdvnUgpDwL2BX6ulAqAXwHnrKPoV5VSHUqpXuDX1XqllJOBo4HPK6V6lVKrgMvXsX+1vnbg34FPKaVWKqUqwFeBCcDbNmTrlqCvr88uv4WWJ8wdW/vsZzwmzB3HZmEMY/t7ah8byiVaykU0IEw8/1xzqUhDpTywC8TJEHUiquT53LfLXBa3tXPNEe+h4nqc+fQjfOqx+zhswSuc+fSjtOd7Wd7SxppcA4HjkU9laCyX2Wv5ElxjcFjbLTy1ew2pMBj43NXBN+++BYCZnas3r+0jEN+BmU0Dou6t8r21y1tu2TJ8rL96B0Mp1QFcTOyBywEfIvZqLU2KLB+ySx5oSpanEIdJ63kdOHEj1X4c+LtS6tnk88+A/5BSHqmUeqCuXH3d9fVW3R6L6rZvyN0yI/n/nJSyfr1P3IatSlNTk11+Cy3v+d65+FmfNQu7mH3oDEZNbeO5O15i/mMLWD5vFSY0cRhyCKlKGQ8oej4GaC0V8aOITBiQK5XZZ+lCMIa9VyzBaHhsygxai3nWZBqY1rmaEFjT2EwplSYTVNh72UIWjBrLU1Nm4kURQmteHDeZtmI//ZkMpz7zaE10aeC/3340QjgEjsPE3u6aIOxPp5nU21WzUwBR8l8AY/r7+P5tN/LJk87ACMFPb/k5o4sF+lJpXh41luZCP46BnmyWVBjiRSGh61L2UusfR1fPNvLurctjYICUC4dOS/Gu2VnumFekKS2Y3e7x9NKAsQ0uC7sDVvRp2nMOYxtdpo3yeHFFQGdBc9xuGdoygocXVNDAhCaHD+7ZwP6TU7U63irfW7u85Za3FiNxTJ0VdTswSqkCcIOU8nxiT1rnRnZZDLx3yLqZyXpYa6h5LUHiFMCRUtanwRlisffAMEytCs6pwPy65fVRFXyzlVLWNWFht6N2GfR5v5P2Yr+T9tqidRwy5POewE8P/x6OEETGML6vl8m93cjF83F1xPMTptBWLvBK+wQayyUywYB3rTPXSOB6pIOAzoYmXmsfx24dK4H4QRLWTRFigKLv88O3H805Tz6EA7wwdiLf/fNvWNnUwr277E5nJsezY8bxrv2buPFTu252W5d0lznk2vUnO2yMa/8lw3F7jtpsOz68b8Mm7fexAze7aotlRGJF3Q6ElLIN+ALx+LSXiZ8HJxI/f64A9tjIIX4DXCqlPJ04PLo/sTD7ZLJ9NbGwmw1UpzQ5NVm3N3ECRZXjgR8modINopRaIqV8ALhCSnkWkAEu2UD5VVLKXwP/LaW8UCm1VErZChwF3KuU6t9YnRbLluDchy7kT1++nSWPLaE/laa1XCQTheT92Cs2oa+HJc1tTOnu4h8TpjChr5u8n+bBmXPIRCGZQj8duUY8HWGIM11zlRKj8r30+z4GQdFP8djUWXRkG7l+n4PZp3Mp4/Yeh/zx/9tqXrXJrWkWXjSRfDlg9+9t+HfTx6Xg4mMmbBU7LJbtyUgZR1ePFXU7FhVgLPAH4vFlIbAAuEApdYuUcoOiTin1hpTyvcSZpz8AVgCXKqV+l2wvSikvBX4jpcwAVwEnA9cppebXH0tKeQNwKXHCxO+HYfu/E4eJlxBnv15NLNLK6yl/DnGY+YEkc7YbeJh4OheLZZtx4tdO4Ipj/hs1cSqzuzpIhQGrG5sBCIXDyf94klfHTODV9nFcfei7aSvmGV0c+P0zd+VSpnd3EjkOK7M5MlGWpc1tzBsznnfNe46ebJYTHvocJ2ZS6zNhq9GQ9ll40UQAtDHkyxWaMnb+OYtlR8VOaWLZLkgp3w38Ccgqpd5qX8K3mj2WtwA/POZHdDW1ELou4/t6yQVlcuUyU3u6CB2He2fvycOzdiMVhkzrWoODwdGaDz77OJP6eljsp9AfmMyRl5yD17RpYUeLZSdlq/jUVkz6+KB7/fil1+7wvjvrqbNsE6SU+xKHcZ8nToT4OnDzW1DQWSzr5PSffYifnnsbaQeWN7cxvSsOW67JNRJ4HqMK/WAMFc9jRWMTJ770d2atWUUoBE/M3Y2WT8bDSK2gs1gsWws7pYllW9FGHDbuBx4BngM+s10tsljeBM3Tx3DOrz9MIBxG93ezJttAMZUm8OLfxtN6OjnkjVfIVcoc+sYrNFTK/GPsRCIMp9716e1svcViGYoRYtDfSMB66izbBKXU/cAuGy1osbyFaWlv5II/n8H3/u0mJixdybLRY2kpl2rbXWNIRxH3zd6dpS2juPjuW9nv9gu3o8UWi2Vnwoo6i8VieRN4vsf/u/UMAK479GqW5ZoYW+hjcVs7L42bRMVxWNXUwl7LFrF8xgTap47ezhZbLJZ1MRLH/lhRZ7FYLJvIOY/8BwBP/+EZur57L/u9EfLgrnuz69JFHDk3x9mfP2M7W2ixWHYmrKizWCyWzeSAk/bngJP2B+CL29kWi8UyXEbGOLp6bKKExWKxWCwWywjAeuosFotlC3HPPpfhGsPittF0ZLMUhcPfZ+xGMZViyhp49/GVjR/EYrFsE0biGyWsp85isVi2AH88+Fs0V4osGj2GlkqJtqCCyWaZu3o5zaUirnB44DaX5x5bsL1NtVgsIxQr6iwWi2UL0Fgs8cLEaYzr78U1hjH5ftrz/aR1xB6rljG9p5Op+V7u+tbD/Ory+7a3uRbLTo9BDPobCVhRZ7FYLFuAPt9nVKGf0HVBCBCCib3dYAx+FOGa+LHhYvjHc2u2t7kWi2UEYsfUWSwWyyZSLpS49ahr6G/IsXziNGavWY2nw0Fl0lGIqyMQA7+h3RE5Q5bFsmMxEsfUWVFnsVgsb5Il1/6NV7//vzRHIb1TZ/LUtPhlKX0NjRy4aD4ZHQGwqqEJDQjh4GqNEQItBC+Mm8S/fvwBJnV1cOA5B3Hau6Zux9ZYLJaRghV1FovFsgGiSoWXd7mQiuuxurGFcX3d+MJh//4etHC4eb+318p2NTSyuLkN7ToEvk/R9fC1ZklTM/8cO5Gx/b3MWrOK1U3NpIzh1QmTef32Zdzz25e48WfHbcdWWiw7HyNlHF09I07USSkPBR5WSm322ZJSXgy8XSl1wuZbttm2nAlcopTaKd+fKqWcDCwGZiilFmxncywjlNU/v59FX78NDYzr7yPf0ERjuchoY1iaa+SBuXtT9jzOevxBXG14aNZsSr5f27+xXOLwha/w9JQZ9DgOLZWAUsrn7jn7oB2H+e3jKHseM7s7EYDp6WJ1QyP5IMtxFzxOV66BdFBhZlOFGy6LxeJjL61kTFOWQAg+8qOFaOFQ0REpAaHjEaVSEAQcMt3n+6dOoyEz4m7rFotlmAzr6pdSzgSuBA4DGoEuQAGnKKV22ImXpJT7Ad8EJJABVgP3K6XOAlBKfXMb2nIkcD+QT1b1AvcAn1NKdW6F+o4GLgP2Ik6YWQH8Xin1pWT7DUColDp7M+uZDrwBTFFKLdmcY1ksb5ogJHzkJcRTr5D/yR1EHSXSDLzz0QMenzKT7myO8fl+WksFWqOQW/Z7O0ta2thzxRJOffpRHGDO6hV84Pmn+eWBh/LE1Fk8YyKemjKTfDoDQK5cor2/lyUto9h/yUJeHzWGYirN/IYxaGdgPN3yplZmdnUA8Xz27fl+ulMZCtksDoI0sKpLcMIFj+EYQ+i6FF2PvlQax3XRjovwMoTGEAE4DqTTPLrMcNg3XsNoTSAc/LCCbwwlBCXXw9cRzTrE1xrtekSOQ4hAY0iHAZf82zjGNqdpa8oxbUwGR4AQAiHW/n1sTNyDWmuEEDh17VvZU+bBZ1czb0k3uUyWU4+exPi2zJY+sxbLZrMzj6m7C/grsBux2JgEHM8O/I4NKWUjcC9wFXASUAZmAO/cjmZFSqlGqAnpu4DvAadvyUqklDOAO4CPA78lfsbtBuy/hevxN17KssPx+gr47M+gpwAXnQS/fgjufw4iA8Vy/G0a3QS+B8uT3yOeA6F+U9VsqVQCLzlWU/K54Hp05hrpyeXQwqG9VOCQJQtwjCZwXO7YfV9eHTMegKemzuLAxW8wd9VyNNBe6ONjTzyIBrqzjXiT4rFzuUqZQjrDgnSGhW3tHP/i3ymm0whgcncn4/p6WNnUgqsj2or5mm0REDgOTWGFUT0lACqOS+i6aKDieUSuiwc0hwEloJBKY6oiypg40xYwQlBMZ2jN99ESlvGMpuCnCDM5PMCPQvyyxhUGLwrpTDfS1RD3ihtFfO6uCo4poUUvIBBagxA4xlB2XVJRREupSOC6GASO0WgEAoOvdex5rJ47IYgM+BS5Vb1G2fUwjqD2yDBDA18Gx4AWgghwhCASglAIjOPgRxGOMURC4CWCslpX6LpEdf0hANd18F0oJjkrk1tdsr7D8t6QiS0eX33vaNbkIy6+vYNQwycPbeHsd7S+2a+WxfKWY6OiTko5mviBf5JSqidZvQT4SV2Z9wOXArOA5cDXlVI31W0/Avg6sAeggTuUUmfWbfs2MCfZ92ql1LXJtiOB/wU+QuxRayf2Xp2llOpLyswGrgMOAOYDvxhi/78BXwEmAwXgL0qpM5I2jQZ+oJQqJsVfT/6q+14GHKqUemfyeQHwU+AY4G3AAuBcpdSjyXYBnAOcD0wDeoArlVI/HE4/1aOUmi+lvAN497q2J+36T2Ihmgf+DHxWKZWXUn4S+IRSap+68rOAl5O69wf6lFK/qjvki8kfUsovEPd5tR6AFmBP4Bri8+gCjwPnKaVeT8reAPhAALwPuBn492T/l6WUJumPy5Pv1beBY4m9pPcD5yulVibHGp/09RHAyqSs5a3Ap38Cj86Ll0+7Girh2mU6egd/fpOCDrbsL8b6Y6WjiFI6RUs5FlG5cgnPxPaldBRPSVLHC+MnMXfVcvLpNK4xNJdLBK5HQ183pz39KD96xzFkgwqFVBoA4zh05RpqdaZ1xPufV8wfPYaCn8aPQjpzDbwydiIlP0VboZ85q5bX6nONJsLFgUEePsdoMAZT5zkTGIyhJuwAtOOSMpVk2cEk7Sk7Dm6pgJ+Iot5MrrZP5DgYLdBioO3V/aKkz7JBQOC6RE683ui4rekwqM2NVbMiEVeCxDbHGXw+1/L+CXSyqmqBZwzacRBa14ScUyfoqnX6URSLumQaGWMMoTaEdW6YJd1R0hJ4ZVXA+besoqekCeJVfPe+bt67RyMTW2zoemdiJI6p2+g8dUqpNcQP++ullKdLKXdPxAsAUsp3AT8DLgRGAWcAP5RSHp5s35tYiP0MmABMAW5Its0A/gL8mFhgnQl8S0p5cp0JLvGDfx9gV2A/4IJkf4/Y4/QiMBb4IPCJOttywK+ATyulmoCZwPXJ5leIxcItUspTEtEzHD6W1N9C7On7n7ptnyAOaX4SaE1sfWI4/TQUKeUuwAnAU+uxo4dYMLUSh8UPAy5Jtt0EzJJSHlhX/izgf5VSC4lD541Syl9JKd8vpZxSf2Cl1LeTY/yPUqox+YuI76WXEXtqpwP9wI1D7DoZuBsYA3yO+LwB7JYc5/Lk+3Nbcrw9iQVwH/DruuPcRHwXngocTvzd2Cb09fXZ5Q0sR6t7asvrFHRvcYqpFJlwwO7AHXiQC+DYl19gQk8XAO39vTw3YQrPTpxCPhFtUd3UJJkw5F0vP8/UNavxolghjM730VLM4+hYKBpgYVs7s9as5lOP3cfUni4WjRpDyU8B0JVrpDNbJ7CEgwGEMbVjQuzFEkKQDZIRL8aQq1Rw9YBg9qKQTDAwIiZw6gSqEIR1n9PRQB+4Rm/w8VadnnVdD0Fh1u1TrZbcnAdnnW9vw2XqbVhHuHgo3cUBQVelr6TfEteXXV572TJ8hvuz5Ejgs8SCZE+gW0r5A2Lv22eA7yulHk7KPimlvJE4ZPgQsdC5XSl1Q93xHkj+fxh4pm7b41LKa4GzgVvqyn9RKdUP9EspbyMeAwext2w68PnE2/aqlPK7xB6eKgEwR0r5bDI27WEApVSflPJtSbu+AuwmpVxK7D2r338o1yqlqh6t64ELpZQtiRfzfOAbSqlHkrIdyR/D6CcAV0rZTfwc6CYWw19clxFKqbvrPr4mpfzv5FgopXqllL8lFnJPSSldYhF5QbJ9YdL2C4HvADOllK8k/Xzb+hqulHqu7mNZSvlV4HkpZU4pVUjWP6KUujlZLkgpWQcHJH/vVEqVoeYd7EgSIgxwNLBL0q89SV1/XZ9tW5Kmpia7vIFl95JT4JwfxoLuzKPgT09C10BI8a2AYbAYqP8sooglza1M7u0GYHHrKNrzfTVvUFupwGX3/JHubJb7Zu/BS+MngXCIhIOPTsKOTu24jeUia3KNHPPKi3GYt1wk8FO0FAusbmikmEozo7ODdyx8FQd4evK0tYRQ2XVZ0dCEEQ6h69KVzdFYLjG5pxM/iih6HpHn05dKkY4iWgt5hIktqHoIAZpKZSLHJTIa1xg8/f/Zu/P4uMqqgeO/O1v2NGmSpk33QgsUKNsBCsomiAooii+CIgqICoobCviCoigqm+KCuMKLCuIGAkVRASmgrIelO92b7nv2Zdb7/vHcpJM0aVPI0kzP9/OZ9s5dz73JTM6c53nuZDrPPZTJkJdKdT4f01jHtsKSoPLn70huO5Ki7OqYD/X5BYxsbSERVMQ838f33XaxdGqn653G/YEJ+xm8TAY/FNrp57JjA7/z2L7v43keGSAVJLLhoHk3Q3ay6KY7mmg7mqK94NYx2U3T2U3DAF86pZyV25L85fVmAA4fm8e0UVE8L7bjWu4FrzWbNnuqT0mdqm4FrgWuDapfH8I1ea7DNf+dIiJXZm0SJkiecEnXa73sejyuE3225cDZWc/Tqrol63kLO7rHjAM2ZyUUZO9PVVtF5Axc4vYdEVkBfF9Vfx8sr8UlW4jICFwC+gsRWaaqvX2Pz4as6Y6/ZCW4ytkkXAWwJ7u7Th3n2qeOHUHl73pcs3VesK/NWav8AngiON6puJ/1Ix0LVXU+LnlGRKqA63BVy4NVtcdzCKqZt+KS6RJ2vE9WAbXB9Ko+hD85iHlTt6SvHVeZ6/gMXZu1rPvviRkqH5gJpxwK8SRUl8HNF8PqLVAYgy0N0J6EiaOgrAieWQBN7XDidFiyDpJpaGyDVBLKi6G+DV5aDE1tcOw0iEZh4zZ4diG0tNOWyBBqj5PX0AKb60n44KchmhfGi7tfk2RWaNmVnRTuRRHC/aJmguloOkVFYz0LqsaQDIXYXljE4srRnDf3JaKZDC3RGNsLi8DzOHXpAsY01pP2PNpieeS3pYhm0uD7NBQU0pSXT9SHwzauxfN9thYWkwwqcCGgOB6nMb+A4kQ7GS8EfprKlmbikSjxSJRkOMyM9auJZDK8XjOBeLBtUbydusIiNpaMIIxPKJVict02SuLtbCwtI5JKU5hoJ5zVHBtJp0iEQnh4tIbDRNMpGsMRSKcJZ9IUtrWQxscHUqEwYd+nvKWJED510TwIJShIJWmN5OGHQ+QlkoQzaTzP9UPMT8RJ+D6pVJIIHml8vEwa3/NopWuTKHhE8EngXszpdIpUxuv8Vo100KzqeSHS+EQ7+tiFID8SprwoxISKGE2JJKFQjGlji5hbm2BGTYS1jWlGFYdJpdKsrPOZUBGmpjyfmhFRImFIZkKccmAR8aTPmjr32zFjbB7JNNS3pSnND1NR5CqWn3rbCNqSGaaN2pEYm32H34eq7nCzxx0IggTqHhH5HHA47g/vPap6ay+brAKm9rJsDXBGt3lTgvl9sQ4Y1a1SNKlbvLOB2UG16n3AAyLyYkc/sKz1GoCbg4rR4cCb+XLGVbhzfbyHZbu7Tn0mIjFc8+XVwN2q2iYiVwBf6VhHVV8WkeW45tAPBMdO9rQ/Vd0iIl/HJbiH4BLTnjpB/RxYD8xQ1W0icggwj64fvrtv19N+anEJ8UhV3Wl5UK0D1yzb8XOa1FPsZoiUFe2YLojBAWPd9Piqruu956gd06PLe97X/8UqtlMAACAASURBVBy/87wvn+N23W12bOc1e5wHvb+5RXD9OKZlzUsv38j2o15me3EZRCPkpVMUJuL46TSTt2yAUJi2WB7JUIhoJkNTXj7bg0EGI9paKQ365xXH21lTVoGHGwBRX1LKiLhLvtaPKKOquYlTli3i3qOO58DN65m5ajmvjJ/EIRvWMmP9Gp7Z7wAaY3mUNzcR9yCVyRCNxPAzGRqiUXwvRElrq+sDB+QnE0QzGVKeR9zzaMdn/ncO7uXMd9jenGT95iYmjCqmtLi3Kzj8jS/vOlarvDC8y+XGDHd9GShRjkse7sN1tPdxlbRDgJtwfdruEZEXgOdwH44PBTxVVVzF6EURuRD4E+7D3LFBsnU/8HUR+RiuP9WRuBGZl/cx/hdwCUJHMlaDq8p1xF4NvB3Xl6whaNoESIvIgcAHg5hW4Dr4X4zro/bfPh6/u5/iqpmv4frSjcTdV+1l3CjWXV2nPRHDVbrqgoRuOnBFD+v9Etev7UDgqo6ZInICrr/fQ7hBL0XANUAbrr8duFuczBSRUFbiVQosxTW/VwLf6kOsW3CJ3dTgWATHmAP8WES+ESSIVcCpqvoHVV0rIrOBW0TkYtzf9uv7cCxj3pTwfqOpqr+Pqh6WLf7s3WQefY1kJEJ+MklDfiFJL0Qk7QZVxLL6prXHYkSDQRfhdIZVFaMoSsQZ31BHezTG/NE1/OTtp4MPU7Zs5PH9D2R0SxMvjp/M5y6exteOqBiU8x1ZHGVk8chBOZYxe6tc/LK+3Q6UABK4QQgPAttxf6S/BnxeVf+sqv/Cjfi8Fdd/bANwO+5+dqjqHFw17nLcwITVwIXBspXBsiuAbbhBDV9X1T/1JXhVTeGqbzNwTY8P0rU/XQj4LLBKRJpwSdfHg5vXNgHTcf20GnBVvwuBD6nqi305fg/uBL6HGxDRCLwKHB3EusvrtCeC/oWX45Ke5uC8ft/Dqvfhmjr/q6pLs+bX4fpJPoe7DiuAmcAZqro6WOfXuGRvm4jUB5XOL+EGZDTimo0f7UOsbbgRv/cH+7kuSBLPxlX4Xgl+Ni8EMXX4CC5xXRMc67e7O5YxA+GAn17CQbU/YcbSHzBt1U84YsltbC4qojUcprittfOebQDxboMuihJxthaVEA9HeGT64dx3xPHU1Nfxqef+zelLF3DYxrXUh8L87cfH8e5BSuiMMbnL83sZuWSGv2CU6Qrguo5+hKZP7EVhdqtxayOz3vUjSsJhwpkMRckEIR9a8vKIpdOkPY8lVaNZWV7B6pFVvDQhGGDv+5y68HXu+s0ZPd7Y1xizkwF5oayY/Pku7/VTVv542L8g7aY8ue0CXFPtX4Y6EGNyTWllKRe88nUA0okUvzv1x0xrqKM5mkdlqpmCVJoj169mfP02flozYceGnkdbfoEldMaYfmdJXY4SkS24AYCXDOevcjNmOAjHIuy/ZRPrKqqoam4i5u8Y/1OYTHLkulpWjBxFMhJhdEMdhS2Nu9ibMWYw5GKTjCV1OUpVe+rzbYwZIM2xPJZUjGJZxSiOXL+akkQcgOcn7kdhPM4Fr/yX5RWjiDU3cdf97x/iaI0xuagvAyWMMcbsxjtf+QYTtrlbar4wfjLzqmtYVDGKka0t+CGPVSOrOLZsLXdbQmfMXsH3vC6PXGCVOmOM6QfhaJgL//vlXpfPmjULd5cjY4wZGJbUGWOMMWafY33qjDHG9Fk8kWDa7e7rn39yUJ++a94YY940S+qMMWYATLx5fZfnn1t0JKdEl/LeIYrHGNNVrvSjy2YDJYwxZlB4PJXcf6iDMMbkMKvUGWOMMWaf4w/MF1UMKavUGWOMMcbkAKvUGWOMMWaf4+deoc4qdcYYY4wxucAqdcYY08++8Mf1u1/JGDOkcrFPnSV1xhjTDxav3czp96V2vVIu3u3UGLPXGPSkTkQeA55S1VsG4Vg/AT4M5ANTgGLgXuAQ4ElV/cAutp0ALASmqepe8bFbRGYDT6jqjcFzHzhBVf8zpIEZsw/zfZ9Jt2zo49oeLx18FcesXwfpzIDGNSiOOwDePxNOORTWboWNddCegg8eB+XFQx2dMbuWe4U6PN8ffh8dReQ44BvAcbjE9A3gx6r6m6x1jgceByap6pZg3i+BEcD5quqLyMm4JGnAk1sR+SbwNaA9mNUEPAJ8UVXb+riP2fSQ1AEnAtcGq3lAIdDKjrrAd1X1u2/9LPYZw+9FYYZM95sM75LvQypF7S3XDFxAe4O8KLx+O4ytHOpITG4YkPRr0dQru7zXH7T0B8M+zRt2AyVE5HTgKeB5XPWtCrgZ+KGI3JC16hRgQ0dClzVvnqoO1R/t2aparKrFgOCS0q+/1Z2q6nez9ntAMPvgjnlvJqETkYiI7HW/4CISHeoYjOmwvTW9Zxt4HkSjtERjAxPQ3iKehLueGOoojNklH6/LIxcMRfPrbOAJ4FbgJ8D7cc2jm4BrVfXPu9nFT4H7VTU7gfuTiBQCvxaR/wM+BHwLiIlIM/ASUIFrdj1BRL4KfAFYvos4JwErgfG4qtd6YKaqvt7tXJ5S1RtEJAJcDVwEjAIWAF9QVe1p/6q6TkT+GcTUsb/zgf8FJgMtuErelarasptrslsichlwhapmH+8PwFZVvUJEDgQWARcHMUwCqkXkH8Bs4CDgHcDG4Lz+HuzDAz4PfDY474XAl1X1eRGpBtYCh6rqG1nHfQH4q6reHCRp/wtciEvQ5wKfU9U5WTG2AVHgTOA3wBff6vXYlaamJkpKSmzapnc7XVSwh02MQctIQTK5Z9sNQ60TKykMpveWn5dND89p03dDWan7OHA0cJCqluIShgW72kBEpgH74/rFdfd7XIn2nUF/vcuAFUGl6h2qehjwLPDtYN5dfQ1UVbfjEqyLsmKZArwduCeYdQNwNvBuXAJ5N/APESnv5VwmAu8BsvvDNQAfAcpwzaon4JpsB9P5uPMqBRqDeRcD38U1Xd8N/FZE8oJlF+GSsg/jkrJ7gX+KSI2qbgIeo+t1Owg4CvhtMOsm4HTgNKAS+CPuumW/mj8CPBAsv5YBlv1GYtM2vavpvIjH1EL6zvM4bOVSQrnUwh/24PDJMLEKCvKguAA+/S4KP35a5yp7y8/Lpofn9EDxva6PXDCUo18TuIEL00XkeVVd04dtqoL/13VfoKoJEdmKqxYNhP/DJTNXqWoSl6g8paq1WdWqM1V1RbD+XSLyRVx1qSMJPUlE6nHJdAnwAi5J6jiHx7KOt0xE7gQ+NkDn05vrs5usRQTgXlV9MXj+S1yCNwlYjEv4fqqqrwSb3CkinwTOA27HXbc7ROQ6VU0H6/9DVTeISBhX4TtRVWuD7X8aXLd3AX8J5j2pqn8NplsH4qSNebOe+FzNHgyW8HnkFyfDL04e4KiMMfuioUzq7gWqcX/4p4rIk8DVqrpsF9t0JBtjcYMjOolIDFfJ2dJ9o37yL1wi+l4R+Suu0vjVYFklLkGdFQxe6BAFxmU9f1pVTwviLQFuBP4rIjNUNS4i7wSuBw4E8oAwsHmAzqc3q3qYl/3XqqMpuONj1HhcM3W25cF8gEeBXwLvCpqbLwQ+EyyrwZ3n492uWyxr+95iMmav4XketdfU8Njc9VzW8dHM910fOmPMXilX+tFlG7KkTlVTuAEON4tIGXAHrmp14i42WwqswDXHPdlt2fm4UYuP93+0oKppEfktrkLXgGue7KgebcUlO6ep6st93F+TiPwKV+E7RETmAQ/h+uXdraptInIF8JV+OoUmoKjbvJog9mx7ep+FNbiqXbYpwH8BVDUpIvfirpuHS1QfDdbbgEuU366q83ZxjBy494PZF7xnRg21M9x0z6Nic6jZ1Riz1xmypE5E3oFLjubiOsK3ALscShbchuQK4CERWQncGWx7JvBD4GZV7V416kss+d1m9XYH0XuA+biBHferantWXD8CbhORS1V1qYgUA2/Djbbd6d09GNjxCdx5L8dVp/KAuiChmw5csafnsguvAhOCauC/gf8BjsVd/7fiHuA7IvI3YB5wKTAV1zeuw/+xY7DKvUHzNaqaEpE7gNtF5NOqujyoYL4deDXok2eMMcb0u1zpR5dtKAdKVAO/A+pwFZuJwKd2t1HQ7+xUXEVvFa7SdB3wFVW97k3EEcYlhtmPO3o59mJccvJOsvrCBb4BPAw8LCKNuKriZXS9xieLSHMwIncdcCRwhqrWq2ozcDlwS7D8p7jBH/1CVRfhqoC/xV2zE4BZ/bDr/wNuAf4MbMM1S787O5FV1bm4QTDvYOfr9lVcdfXR4LotxiWGxuSgHPwrYozZawzLmw8bM8DsRWHesp6bXzPUXjOuh/nGmF0YkE9Dcw+4qst7/YzFtw77T13D7ubDxhhjjDFmZ0M5+rVHIvJz4KO9LJ6uqqsHMx5jjOkfPjbmx5i9h5+Do9P3uqROVS/D9UUzxphha9XVY7rduy7DHdPnABOGKiRjTI7b65I6Y4zJBR33ruswa1Z/jEsyxvSXXOw8bX3qjDHGGGNygFXqjDFmEGWPiv3+6R7/c8SYIYzGmH1XLvaps0qdMcYMkisWHtHl+Zf/5fdy6xNjjNlzltQZY8yg6bkyYImdMaY/WFJnjDHGGJMDrE+dMcYMgisW7j/UIRhjsvg5+LV9VqkzxpgB5ppXS9nVtx1ZE6wx5q2ySp0xxgyK3KsKGDOc+Tn4krRKnXnTROSbIvLEAO37ZBFJDcS+jRlME29eD34u3ubUGLO3sUrdPkREZgPHAUkgDawAblTVB/qw7T1ASlUvHcgYjdmrtLdDMgn3zYZzZkJVJezpva18v8/bfOGP6/nReTW7X9EY85blYp86S+r2Pd9W1RtFJAJcCfxRRKar6pKhDswYAJasgx8/CmVFcPU5bt7p18PideCFIJOBzBBUvq6+b6dZ3aOYXz2WP884mmgqyadefIabTn4PHH5snw/x0Cp4qJe+ddWFUB8HPJg6MsLYEWFakz6jikKcf1gRx4zP6/u5GGNykiV1+yhVTYnIncDNwKEishg4QVX/A675E3hCVSMicjVwQTD//GAXI4L/PRG5HfgY0Abcoao3BesWAvcCxwOFwDLgGlV9vCMOETkJuBE4GMgAj6rqRd3jFREB/gp8S1V/1W8XwuxdEil4742woc49X7sVlq6HhWuDFdJDFlpPsj/np4GLz7uULSXupVFfVMyDh/U9odudTa07pudvTjF/847eCX9bHOepT46ipjTcb8czJtdZnzqTM0QkBnwW1xQ7Z1frquotwH3Ab1S1OHh0/HU9EdgEjAHOBq4UkY8Ey0LAg8BUoAK4H3hARKqCGGYA/wTuCrYfD9zTQ6zvAx4FPjkYCV1TU5NND9V0ffOOhA5Iz6+FlZsYDsJARWtL5/M5YyYM2rHbUz6LNzR2Ph/yn6NN23Q/Tpu+83zrwLvPCPrUHQvEgQSucvY9VZ0lIj69VOqC5/fQrU+diHwTuASYqKp+MO9G4BhVPb2XGLYCH1PVvweVwipVPbeH9U4GnsA1EX8FeJ+qvv5Wr0Ef2YtiqPg+nHsL/Os19/zGC6B2M/zq8V1vtxfIAGd84koWjR6H52e49olZfOe09+15H7w34cCqCH/9aCWFMfucbnLSgLyIXjr42i7v9ccs+O6wr91Z8+u+5zuqemM/7q+2I6ELrALOARCRAuBW4AygEvd3rwSoCtadBLy2i32HgOuAnw9iQmeGkufBH74CT82D8mKQ4Ia9MhV+828YVQpN7bByI7QmoDAPUinXx257K7THIRqG+OANnPazHr+6/1f886AZ+HicumQ+JBN85/QPQOTNv9XmhWHCiBAXH13CS6vjpDI+p08toDDm4XngeR4zx8csoTPGWFJnOjUDRVnPuw/By/Sy3UQR8bISu0lARweoK3HNs6cCq1TVDyp1HZ+GVuGaZnuTAU4CHheRdlX9Xl9OxAxzkTC88/Cu8z58onvshTx2/EKPB7KHh38K+M5N6/q8r9prdj3y9YLDi3a53BjTd/4gVNEHm320Mx1eAT4uIjERmYRLyLJtBKaISPffmTHAVSISFZEjgE8CvwmWleKaercBMRG5HijL2vYXwPtE5EIRyRORgqDZtZOqvgGcAFwqIpbUmWHnE0fk3h8OY8zeyZI60+EKYH9gO/Andh6w8GtcJW+biNSLSMcwu2dxid1G3GCGHwG/D5b9AKgH1gPLgVZcdQ4AVZ2Da5q9HDfYYjVwYffAVHUVLrF7n4jcKSL2V9IMG9e/y+47Z8zeyO/2yAU2UMKYndmLwvQr972uPrvq710JvLKb5ldj9lED8kH+hUOu6/JeP3P+d4Z9wcAqdcYYM8Bqr6nhjumvsqvPC5bQGTPI3EijHY8cYEmdMcYYY0wOsNGvxhgzxJ771Ijdr2SM6Ve52M/GkjpjjBk0cSC/y5xlV1YRjUaHJhxjTE6x5ldjjBkkd0xfwE/PcNNhXF87S+iMGRq+53V55AKr1BljzCA669Aazjp0qKMwxuQiS+qMMcYYs8+xPnXGGGPetCsWHsEVC9d3Pt/d14IZY8yesD51xhgzCK5YeDjd33LdTYmNMUMhF/vUWVJnjDGDwbe3W2PMwLJ3GWOMGWCpVKrnBb5P7Zb6wQ3GGAPk5ne/WlJnjDEDzOutacfzuOc/rYMbjDEmZ1lSZ4wxA2zKbZt6XXb3G5lBjMQY08H61BljjNlzvt/7F4bnyB8TY8zQs1uaGGOMMWaf45N7H6gsqRsmROQx4ClVvWUQjvUT4MO4L6mcAhQD9wKHAE+q6gcG+Pj3AClVvXQgj2OGsfYEtMShogRa26G5HYryIS8KWxtgYz20xaEk3y1rjcOcFbBkHWxrhNrNsHgTFAAtgxDvtd/vfZnnMfGmdZ3T3e2fBzMmwPhyGFWSz4cOLyUW6eWtuz0B+bF+CNgYMxxZUjdMqOp73uo+ROQ44BvAcbif/RvAj1X1N1nrHA9cAkxS1S3BvBuBNcDbVNUP5uUD1+GSv7FAI/AY8HVVXfNWYzWmR+kMfPhW+Mdr/bO/QUjokqEQ0WSSZGwXydYummCXxWHZ0o5n7Vz3ZDunToly97lVWSttgA98F2q3wEdOhJ9dbs26xuyGn4MvEetTt48QkdOBp4DncdW3KuBm4IcickPWqlOADR0JXda8eVkJXRj4G3AOcAFQAswESoEXRWRsLzGERcR+58yb9+Sc/kvoBsnWopJdJ3RvwpMrkl1n3PpXl9AB/P4ZeP6Nfj2eMWZ4sD+ww4SIzBaRr4lInoj8UkQ2i0ijiCwVkXP7sIufAver6g2quk1VW1X1T8CXgOtEZJKIXA38GpgiIs0i8m8RmQOcAnw9mPcJXHXuBOBsVX1RVVOquhI4D2gGbghiniQivoh8QkQWAq3AKBGJiMi1IrJEROpF5L8iIt3iLRCR3wXnuFxELnrrV7FvmpqabHpvnS4Yfk2Llc1NbqDEAOi8Pt2uS4uf3nkdm7bpYTo9cLxuj+HP8wfozcb0LxGZDTwBbAYuB05T1W0iMh4oUdWFu9h2GrA42ObJbstiQBtwmar+Kkievqaq+3c/tqreGDz/PTBeVU/o4VjfBi5R1bEiMglYCfwbV9HbDqSBbwGn4ZLDWuAiXNVwqqrWBX3qLgAuBv4AnAzMAk5V1ef6dsXeEntR7M2u+x3c+Zhris2LQDzrxr4ee9VPryOUKV+9lUw43G/7/dLxRXzxhBE7ZmxpgE/8BJauh4tPg6vP6bdjGbMXGJCMa/YRN3R5tzj5tW8M+8zO+tQNPwncwIXpIvJ8H/uvdXS+Wdd9gaomRGQrMGoPYqjqaV+B9T3s6wZV3QggIh7weeBMVV0RLL9LRL4InIkbkAHwgqp2TD8hIg/gkr/BSOrM3uw7F7rHQPjDk/CpX+35dmXAw9+AQ6dCJAKJBMRinX+JMjf19nJhRxUv+L88FKIAePYr1UT6mghWjYBHvrbncRuzD8vFPnWW1A0/9wLVwO3AVBF5ErhaVZftYpuO/nFjcYMjOgWVusqsdfpiCzC+l2U1PexrVdZ0JS4pnSUi2Z+SosC4XrbpeH7kHsRozJ47/1T3eKv2sA9d7Vd77IZqjDF7xJK6YUZVU7imyptFpAy4A7gbOHEXmy0FVgAfAZ7stux8XCvR43sQxj+AX4vIfqq6vGOmiESAD+FGwWbLvmX+VtyYw9NU9eVdHGNSD8/X7kGMxhhjTK/sPnVmyInIO4AGYC6uL1wLrp9ar1TVF5ErgIdEZCVwZ7DtmcAPgZuDgQ599XvgE8H+PgG8gqvc3QqMAL65m1h+BNwmIpeq6lIRKQbehhthuz5YdaaIfBj4E3AS8EFcPzxjhh/P6/1bJaxfszGmn9jo1+GnGvgdUAdsACYCn9rdRqr6GHAqrqK3Clcxuw74iqpetycBBNXCdwOP4AYytAAv4RLFY/rQz+8bwMPAwyLSiKskXkbX38c/AWfgzvMu4LOq+t89idOYvcXSL1X2uuyWEyypM2Yo+F7XRy6w0a/G7MxeFKZfJZNJ9v/+5p0rdb7P4x/PZ9qYiqEJzJjhYUBSrieP+laX9/pTX7l+2Kd21vxqjDEDLBqN9rzA9y2hM2aIWJ86s9cSkZ8DH+1l8XRVXT2Y8Rhjugluc9JZrfN9CFkPGGNM/7GkLkeo6mW4fmnGmL3QHUfM54q5h0HHvef8DLVf7e3OQMaYgZYr/eiyWVJnjDGD5I4Zc3jve9871GEYY3KUJXXGGGOM2edYnzpjjDFvyQ8+8jtWt0WpSLVDOs20sw7ivM8cP9RhGWNygPXSNcaYAfboR37G0h+vw/vWPA59YyWT2ltYWDORUCyPDY8u4oaP3T/UIRqzz/E9r8sjF1ilzhhjBtB9h36NZEkZByXambZ1M8lwiEM3rqM1lsfcmvFM3bqJsq1NQx2mMSYHWFJnjDED5Jcn3s7EWB5FzQ1k8PjzYUczp2YC0XSKSdu2sqq8klQoxDG1rUMdqjEmB1jzqzHGDJS8PJKRCNFMhk0lpbxeMwHP90mFwiwaXUN7LMbKkVU0RWNDHakxJgdYUmeMMQPgr0d9m0PWr6GspRkfiIci5KVSFCaTFCaTxFIpiuLtxNJp3hhVzbXnWL86YwaT9akzxhizW3/63ANUplNUtLVRkminLRJlRVkFsXS6849HfipFRXMThEKMaWmhoaBoiKM2xgx3VqkzA0JEHhORq4c6DmMG27O/fgH/pWW8MaqGwkQ74XSKsrZWTl65GNjx/eHhTIYpdVspbm9nS3EpI+NtbN5UP3SBG7OP8bs9coFV6sweE5HmrKd5wf/xjhmqWqyq7xncqIwZfPHXl/D7m2azbnuS/IZWxmWS3PquD1B80un8YNYfCONucNqYl0djfiHRdJpUyCec8clPJQnhM7KthY2lI0gAF373DfKSLTxy56lDfWrGmGHIkjqzx1S1uGNaRH4NRFT1oqGLyPRFQ3uGBxe0UpYf4v3TC9jQlOaWZxrJD3uctn8+1z/RwKbmDCGgsgjaU1DX5sr5Iwvd89YkZPwdn2oLI5BMQxo3v88ymR3T3b/UPnsZBO0JoS7zPd+nON7Oh195nicPOJjlldVd1/N9ytrbqGhtYkxDHXghytpbKW9p5v4jZpKXTpOfTJAMh5lYt43KlmYOWVfLtpIRpIHDN66hvqCQ/4zfjwtfe56XJ+zHotFjKWtrZfK2zcyvrqGqtYUj167k7WtXsaK8ksPXr+bWd5zJ1pIRXPjM89Q0NQCQDkeI+j4VbS3ImpW8OnYisUy68172vuf69kxobOCFKfmsGDWGiy/5JxtHlFPc1sp+dVvYnl+Ejp9MKhTGw6c1lkcqFKIgkSCcyZCIRDnjjTmUJ9uZPeMw3rN8EUetWMZ4v43lpx9P/rwVjG5qpObMQ3noqGNZ8tpGJsWbef+506gcN2IPfnDG5I5c6UeXzZI6MyBEZDbwhKreKCKTgJXARcA1wETgaeCC4PklQAb4tqr+NGsfJwDfA6YDdcCdwA9UNVcq5YMmnfE5//6tLNycAuCVdQkenN9GS9JdyvvntnVZf33WbdPSwJZe7rjRmnqTAXVP5PqyLGu+DzQVFnHPzJNIRKM9rldfVEx+MsHGspEsqxwNQGVzI6lojFQUWvILAJhX6D6jPLvfAeDDv351K/tt3wJASTzOF875OGE/Q2vMFaVn1i7juFVLueyF2eSlknjA1G2byeDx0Veep7qpkWS3WDucvmQ+J6xczDOTD2D+mPGkQiG2FRZT2t5G2E8zuqmBY1cvZ0H1OFZWjALf55UJ+/HFZ//JyPZW/nqo4IGrAPqQCGI6eONavvHkIwBc8sLTjG2owwM2FZfyrlvv6kwgPzR5Ji+2tAEjgBH89hfr+Nf/FpJf2O0aGmOGJetTZwbTB4G3AxOAScCLwHKgBrgY+KGITAAQkenA34FbgSrgTOAK4MJBjzoHbG3NdCZ0AE+tiHcmdMNZIrLrz6VtsVhnQgewtbi013VT4QiVLU2dCR2Ajp9MPBqlNeuWI8srRpGIRNFxkzqTpQyQCYU4ZNM6vvTsv2iJ5TNn9DhSXoiGIHkEyHgeyyurWV5VTTiTpiCZYHz9do5evZK/H3gY24tKeH3sRGZsXOM28DzyUgken3YIx61e7mZ17CyrytCYl985XZyIkw6WVTc3dq7fHo7w4sT9upxzbXEZtUu27+IKGpO7crFPnSV1ZjB9W1W3q+o24FEgqaq/UtWUqj6Gq8YdEaz7GeDPqvqwqqZV9Q3gDuBjAx1kU1NTzk1XFobYr3zHy/2YmhAFkeHf9BBNp3e5PD+ZZMrWTZ3Py1ube103nEmzubiUBdU1nfP84BLlpXYkxGctfJ2HDj6SmsYdgxqSoXCXfX3uP//iN0cdzzkf/xwXfOQyFo0aw6biEpry8vjLoUezpqyCTaVl1BUWUdnSzMvjJtIWJGa+F6IpzyWCXiZDeyTG9E3reLVmolveGdyOP0Mj2ndUWlujkB0g4wAAIABJREFUUcLBss1FJZ3r56dTHLGutkuc41oaGD915JD/ftq0Te9q2vSdNb+awbQha7q12/OOeSXB9GTgHSJyTtbyELBm4MJzSkpKcm46HPL4y0er+ONc16fuQzMK+UJDiu8+1Uh+xPWpu+HfjWxvzeABZfkQT0FLMthPDOJp138uu8db1INUkDXs0SfdTCYoOXldKk6dy8DN9/0dfeV83z08D8/3KUzEufjFp3lq6nQWjB7ntgntWK8k3k5hIs6kbVsYX7eN4kQ7JW1t/PmwY8hPJylIJIlHIhy8eT2jmxqYvn4N68sreODgo1hUNYbFldUsqBrDjHW1RNNp8hNx8lMpnh+/H19++jGqmxp4+KDDmDX9cLx0mu/986+UxdvxAR03mc0lZWwtLmXmqmUUJOJE0mnWlZQRD5qLQ5kMeckkF77yH6LpNDefciZzxk4knE5TH8tjfN1WoskkY5obaYlEeWzaIURTKcAnHomS8SCWShJOZ1gwagzfO/kMRra38fihh3HG0gUcWbucialWXjv5TGJL1lLTWM/dYzfz52OnsXjuZia1N/Ghi/ensCgK7Gh+HerfVZu26e7TA8Vn+H+w7c6SOrO3qgXuVtXPDnUguWJkYZjLZ+54o5xUHuWX51R0Pn/f9MKhCOst2o+r9nCLm3eaM7XXda/rZb6fOQoPGH3jwxz72Os0+2FuOuZkDq7fik7cj7ZoHtM3rqU1lsftj9xHNEhUQ77PIetqyYQjZDyPrcUl3HbyGZyxaA4XvfwsXxozjnRbM7/71al4e9yJezLgOqnCjG5zd/g0wMkVGGNyjyV1Zm91J/C0iPwD+AeuEDQNqFLVp4c0MrPP84KBEMde/wGOvb7rstTVj1L59KssrRpDSyyvM6EDiGQyjG5upDUvn6WV1YAbgffv/Q/iglef4+YLazjyiLGDdh7G7Mv83CvUWZ86s3dS1fnAWcAXcc20m4F7cIMmjNlrffKWs2iZUMmR62s5bO0qthS50bUZz+O1sRNZObLKjWDNSvbyUikePGCGJXTGmLfE8/1cGfNhTL+xF4V5y5485DpenTyNMXXbqW5ppDWWxxujxzK3eizl7W3UNNSxtbiEeDiMn8lQ2NrCbQ9+eKjDNmZvNCA1tUdm3tzlvf59L1wz7Gt31vxqjDED4NT53+GRCx7hfQteBTxqy10/tvL2Np6bFPTj830m1W3h7csXc+Vjnxi6YI0xOcGSOmOMGSDjt27ilbETOWr9GibWbyfjhchLJlkX3M6kIJmgpr6Opqz7zBljBkcufqOE9akzxpgB8pV/fpJQUyN+0H9uXMN2CpIJ3r5yMTNrl3PakvmMbaxjuyV1xph+YEmdMcYMoPNf/yYLJo5jc14+mwuLmLx9M0WJBAura3j8gEN5fcw4Uvn2NV3GmLfOml+NMWaAfXD2VcyaNQuAuT/fQDycxyG1y2mM5jF2+kj+91vvG+IIjTG5wJI6Y4wZRNf97VNDHYIxButTZ4wxxhhj9lJWqTPGmAFw5dm/Y3QqRUEqRUskSmFrC5OvnDDUYRljArl4Q1JL6owxpp9979N/YnwizpiWJjwgg8e2/ELW3LYC3jvU0RljcpU1vxpjTD/btClFXjrVeRt8D59MOERxJs017/71kMZmjHF8z+vyyAVWqTPGmH60YtEGCvBpjeWRn06TDIdJeyEKEu3MrR7P/ts2DnWIxpgcZZU6Y4zpR9+/9ilKM2lGxNtJhUI0R/Ooyy/k79OP4LXJ+7FuZBVf+MD9Qx2mMSYHWVJnjDH9KJVfQF46RVskRmssn7ZYHo9OP5z5Y8azurySPx9+LJXpFL885qahDtWYfZrf7ZELLKkzxph+VNTSTMoLkQm5t9fiRJz9tm3uXJ4Oh9lWXAylpbw65Ys8/9GfDlWoxpgcY0ndMCYiPxeRO7KeTxGR50SkUUT+Gsz7uIisFZFmEfng0EW7MxG5VkRm7cH6q0TkowMZkzFvxfpFmwnlF+z0sb843o4XfP/rmIY63rNkAZPrt1FXVk710/N55ZKfDUG0xuzbbKDEABGRKcDNwAlAMVAHKHAe8BHga6q6fz8cZ1Wwr3uz5lUBNwHvBkYATcDrwCWquuGtHvNNxnkPcAEQBzJAA/AScKeqPtmxnqpe1m3TrwJrgLepqi8iEeBO4FxV/ftgxN4bEZkNPKGqN3bMU9XvDl1ExvS/m69+jPrqGiK+z+jW5s75hYk4E+q2sqWolMv/+wShIOvLSyUpTCRI/HsRyyd8lqL2NlYVlxFKJmjwPAoqCkh/8ASO/NDhlEwbP1SnZYwZJvaKpA74O/Av4ACgERgLnAX0S+osIlFVTfay+F5c0nSEqm4WkVG4BK/fm9h3E0d3v1HVS4PtqnFJ3t9E5GpV/XEv20wBZqtqR+yjgUJg7iDFbMyA29iU5lMPbmPRlhQVqTg//vcDHFMTgSvfDx/4LtS38PSpJ3HpMWfh+1BeEOLwmhi3nVFGfsTjfx+r48W520klUhTHPL50SJjxP3uIrxz6DlaWV+ID58xRntnvADaWlgEwY/0a3rZqKSE/w9kLXuXVmgnc8o6zGNtQzzf+9SD1BUX8Z/I0to8Zx6jmRsIetIcjhP0M8UiE5ydPY/2IcgDuO+ptfHDey4xoa2H6hrWMbmuhIt7G1sJi2goLKYqEiHoRDt2+lUxLA59dmcdlf0yR8mp59+K5XPXko8wZN4m7jj0JHzh98Tz+eMRMKluaOW7VEprzC/joK89TWz6Sq848n+1FxcGV8/E6/s2uSvg+4UyakmSCRDjCiPYWGvMLiUej+F6II9es5KyFr/N/R59AQ0kJpx1Rxm1nlA/mj9yYAZEr/eiyeb4/tKclIhXAVuBgVV3YbdlxwFNADGgNZp+Fq1rdCxyPS1qWAdeo6uPBdhcBXwN+AXwBl7StAM4EEkAKeE5VTxeRJuC8XVWyROQk4EbgYFzl7FFVvShr2S3AgcAG4HZV/UWw7GTgCeBi4AagSlVLRKQQ+BbwQVx18CXgClVdFmx3D5DqSOqy4vg6rho3VlXrs9cTkTnAIcG5JYHvAdcG16cV9/tbAaSBq4GLgFHAAuALqqpZx44G+3gf8EdVvVxEDgG+DxwJtAH3AderalJEJgErgY8B/wuMB54HPq6qG4Im4suzYlunqgeIyDeBt6vqacGxvxCsNxZXrb0PV1lNB8tX0a3SOkBy8bWeMz778HYefaO983lFSxOv/vAbUFEC25oAd7Pfd376apZVVneu9wkpYkxJmBufauyyv1g6xcRtW1g6akyPxxvR1srFLz/b+QlzwvYtXP+uc/CDPnMnrFjMAVs2UJ9fSFs0RiyTJhUKs6xyFOF0humb1nHfEccRj8XA95m+aR2lcRf/cauW8r4FrzGlbivtoTCLRo/tTLiK29uYum0zjx1wKJf9z8Wd8fzwoXv5/knvYU15BQBVzY1sKS4FYP8tG3j8l7d1VgL/cNixXHPWeW/qOnd46s7v8J5PXkV7NNY575cfKOdd0wre0n6N2QMD0jb657d/v8t7/bn/+fKwb4Md8j51qroNl1j8WkQ+JiLTRcQLlj0PXAasUNXi4DEbF/eDwFRconI/8EDQlNphElATrHO0qr4XWA1cGuzn9GC9Z4BbReRTInKEiISz4xORGcA/gbuAMbiE5Z5g2WTgH8DPgjguAr4nIudm7SIMnAEcAXT8hfkVLgmciaumvQg8KiLR3VyuP+CStJk9XMfDgGeBbwfn9x1cEgpwQDAvjksuz8ZVIyuAu4F/iEj2R+9zgceAKuDLQfXyadw1HwscB7wTl8BlOw84MVinCJe4oqpXdIvtgF7Oby3wHqA0iPES4NJe1h0wTU1NNr0XTzfFu+bcLbE8NxHfUVAO4VMcb++yXmM8Q1M8Q3eJcISm/Pyd5neIZd1EGKAlL78zoQNoyC8g7YXwguN6wDNTpjGnZgKvjp/EK+MnceM/H+DgjWvJS6c6EzqApVWj2VLiErIwfpcKWsdAi5Ju55EMh6krLOp83hzbEXtRItGZ0AGUxtt6Pa++yk+luiR0AFsadux3qH8fbDr3pwdKLvapG/KkLnAyMBv4Iq4/2yYR+XpHctedqjar6r2q2qSqSVW9FVeBOzprtSTwVVVtU9XWnvYTOA9X9bsYeA7YJiI/FJGOd8rLgFmqeo+qxoP9zQ6WfRh4NViWUtUXcNXB7onINaraoKqtIlKJ6yf4GVXdpKoJXKI1Bjh2N9dpbfB/xW7W61FwPT8PXKWqK1Q1rap34SqMZ2at+h9V/WOwvBVXgZujqr9Q1YSqrsNVAj/W7RA3qOpWVW0Efg/InsSnqg+o6kpV9VX1NeB3wKlv5lzfipKSEpvei6e/+LYSCoKPP57vc/3jD8OkUXDjBRBybxnPHXAQr9fs+J7V0cUhLju2mI8eUcR+Ze5tLxQMXLg8bzNfe+pRoqkUBC0Xx61cQiSVAmBLcSnzq8cCroR72pL5nLnwdQDykwk+998nOG7VUqLpFL7vkwG2Fu2Ie+XIKqKZDOfOeYlD19USzqQ7l5W3tlAe9L0L+T6lba2dsY1prCcD3HX0CW5l3+eoNSs5adkivvLU3whlMoQyGd65ZB7gKoqHrF/DQwcfAcDWwmLuOD7r5eP7nefXZV72/0Aone6yyg9PfBdfevoxAMKZNFMrIvzP4Ts+Aw7174NN5/606bu9ok+dqm7FNRVeGzRNfghXzVqHa+7sQkQKgFtxFbDKYJ0SXGWpw4agMrW7YzfjEpTviUgMV8H6Ha5v3/W4it9rvWw+HtfsmG05rsrUIYMbvNBhcvD/XJEuOU802N+ujAv+37ab9XpTiRuIMktEst/do1n7BljVbbvJwNtEpD5rnoerQmbLHljSgvuZ9JmIfBi4Etc3MIJrdn9hT/Zhct+RY2PM/cIYtrWmKc0LUfTJS6CsCMIh+PCJsL6O4/cbzYtNKfIiroJWnOcRCRK+Jz5VTUNbhoKmJuKlJYwoqIFLD+TE9gzbEz5NrSnGlB/NhgWbaakqpbU9Rem7j6RlzQS2bmxlzoljmfnyCqoX/5fmhMdzo2tYESsAPMY1NFA/ooyx9dtZGzSPHrDZvSwK43E++fIzNOQXMG/0OPKTSU5ZupCKlmbq8wtYWFnNxLptvFo9lurGeuZUVpMGZi5ZyPGL5pEIhahqqOcXBx4OXohPPP4oi0ePwovH+cyzswhVjGDd+Ap+dfShvPDuk2gvK+JL00tJ1JTQVtdCTV6Geal8plbFiKc89q+IEA3Dc7UJzqpOkikpIdXYRmkMmiMx4mG3POOfTay9nYs8j9ZojDElYbwcqWqYfV3u/R7vFUldtqAydI+IfA44HDcKtrsrcc18pwKrgpGeW+n6E9q5naXnednHTgCPiMgTwbHBJThTe9lkDS6xzDaFrkmcnzVwAaA2+H+qqm7ZVTw9OA/Xn+3NJjpbccnWaar68i7W636danEjV8/saeU+2uW1F5HxuIrpOcBjqpoQkdvYw2qf2TfEwh5jSoK3r4qszw4FebDfaABGl/T89hbyPMoLw1BYRmfDZXE+I4pdB9cOVSdO7rrhYZW7jeuJ+17l8YdXcPriecwfPY7q5kaOWb2CZChENJ0i7PuMbGvlpJVLSOERy6RZV1pOezLJ8QvdzYjP7bbPk3d71L5w1+j4HpZMGpmXtZorgY7svlKxa+4t65dYjDEDZciTuqAv19W4TvGLcS0cZ+M6/d+EG+QwSkRKg2Y9cH2u4riKVUxErqFv7zcb6ZagicgPcH3y5uGacE8ETsFV78A1p74oIhcCf8I1WR8bNMHeD3xdRD6Ga248Evg0rrN/j4IRtr8H7hSRL6rqOhEpC475eFA57H6NRuGaeq8DrlXV+u7r9EWQ/P4IuE1ELlXVpSJSDLwNmKeq63vZ9Le4vnWXBOeZwFUwp6nqP/p4+I3Arm5LU4y7tluApIjMBC4EFvVx/8YMudMuOJLZ988nGQ1z4NZNRBNx0uEwvu8T9n183CfPDBBJpyhMJFgViXLmqu8PceTG7Hv83CvU7RV96hK4UZgPAttxf9S/BnxeVf+MG/36OLBSROqD0aY/AOqB9bjmzlZ2bjLsyY3AR0WkTkQeC+aFgP8DNuNGXN4J3IYb6YmqzsFV4y4HNuEGW1wYLFsZLLsCl2D+Dvi6qv5pN3F8EpfAzg5G387DfUDPruh9PLhhcCPwKu4D+9mqensfznNXvgE8DDwc7Hsprt9gr78LqroRl3S+H3ed64C/4qqSfXU7IMHPcEEPx1iUFVs9bpSvfUGmGXa2R6KkQhEa8/L550GHkfE8QvikwmHWlZShYyexoHos86tqaL7hQ5y5+JahDtkYkyOG/JYmxuyF7EVh3rTPnP8Apb7PG6NqWD2yksnbtnBc7VKi6TTt4QjxcIS8liauebz7vcONMb0YkJraH078YZf3+vOf+eKwr93tDZU6Y4zJGQcfWEoCDy/4wLyyoorfH3k8W4pKKEgmqGpusITOGDMgLKkzxph+9NlvvpN2PMbXbWPy1s2UtzYzs3YZ1c2NjGusw2tv3/1OjDEDzve6PnLBkA+UMMaYXFNBC4l4jMM2rKaitQUfd984P5ng8098ZqjDM8bkKKvUGWNMP/v2Hy/ET6XwMz6t4QitkSikkpRdVL37jY0xg8LH6/LIBVapM8aYAXDLQxd0eT5r1qwhisQYs6+wpM4YY4wx+5xc6UeXzZpfjTFmkKRScPFVz3DTr3e6VaMxxrxlVqkzxphBMG+hR+vLzUjTBloWxfjgS1t44JcnD3VYxuyzcqUfXTZL6owxZgA8e+L1PFc8gWVVY5CVy9haM462olK2lJRR01iPbFjNaZc9yRM/P3WoQzXG5AhL6owxpp/9e9pVHNTcwCHptcwbPY7WSJTXY3n848AZ+J7H9E3rOHLNSiKxwqEO1Zh9lvWpM8YYs1slYY8xzY28MnYSTfkFpCMRjl2zkkwohO95LKwey9biUsrb24Y6VGNMDrGkzhhj+lkiHAUgGQ53zitOxDmmdjnvfmMux6xeTgZoi+VxymVPD1GUxuzbcvE+dZbUGWNMP3rp2G/ip9MsqRjFuPpt4Pvg+yyrGEVVazNh36eytYWm/EJawhGIRYc6ZGNMjrCkzhhj+lHdlkZqWpqobm5kbVkFpy2Zz+biEaweWdVlvfZImNrKavL9IQrUmH2d53V95ABL6syAE5ELRGTOW9xHSkRO7qeQjBkwIyNhJtVvY0F1DZlQiIjvUxLP6jvnuyzOS2eIR6O0R6LMe2PTEEVrjMklNvrV7EREZgPHAUkgDawAblTVB97M/lT1PuC+fgvQmIHSnoCXlsLYCthvdOfs+oZ2rv/lEtJrttKc9lhUPoqKpkZOWTyP9aUVTKrfRkVLIwdvWk/U89hSUERLLJ/i9jbWF5dy1oLXaIvGWDCqhqf3O5DNxaWkwmHyUilWVVTxvdvmE0u+wjuXzOPsN+bipdOEgCiQAnygKS8fPI8w4HsehW1ttBUVUlKWT6ymHDY1QHkhFORDcxtMq4GPngynHb7zec6rdevMPCBnKhTG7Km9rUjued6BwLnAaN/3Pxs8j/m+P7ev+7CkzvTm26p6o4hEgCuBP4rIdFVdsic7EZGoqiYHJkRj+lE8CWd8C3QZRMJw75fgDGHb1jbe9rONtMUqYWwl+Yk48WiMTSXlLB1Vw8//cg+nLV9ExvPYXFjEv6Ydih/ySEQiJKJR5o2dyMzaZbxn0Ry+ddrZJKKuD100ncIHJjTW86O/3U9VSzOtkSiF6XSXsMKABxTE21laWc2SqtGMq9/OjLY1FLa0sD3jU7Zum2t2WZ214fzV8OAL8LFT4I5P75j/k0fhunvd9P8cD3d/fuCuqTGmTzzPOxf4KfAg8BHgs0AxcBNwWl/3Y0md2SVVTYnIncDNwKEisg24BTgdyAeeAj6nqpsARGQVcDdwCnA0cKmI5ANfU9X9g3UKge8B5wAFwH+Az6vq6mB5CXAH8F6gCbh+cM7W7NNeX+kSOoBUGn7zFJwh/P0/G2mL5XWuFvF92oPqVjISpSy4LUnI96kvLObf+0/nkI1rOytgvuexvbCYxRXV+FlVsWQ4wpS6TZS1t1HV0gxAYWrnzz/ZdbTa8goAJtRv65w/sq111+d1/7Ndk7pfP75j+i/Pwe2Xwgi7X57Z9/h7V5X6W8A7fd+f43neecG8OcBhe7IT61NndklEYrhPDElgLvAQrmp9CDARl3T9vttmn8RV90qAh3vY7e3AzOAxEdgKzBKRjvs//BCYCkwHZgBn4woWg6Kpqcmm98Hp5vJ8+H/27ju+qvp84PjnZEJIQth7iGAVtY4+TkQRq1UR98BVt7U/Z9WiVq2LqmjdVmvdiqOuqlhxITjqwMfWiTgQwpQpkEVCku/vj+8J3NzMS3JzLzfP+/W6r5z5Pd9zAzfPfb7jdMxav85Q3/w6sHva+n5wQK3lwDkKykrWr6/J7kDB2hJWdMrb0HfOObqWFrO6Y0c6ritff2yX0mK6lJbQZ/XPNFencn9+cUSQWZnW+Md4de+C9ctFRUUwrO+GnX26QG6HpHj/bdmWG1puJ3ri/8bChpZhR4ytxIFzydaqbBIt7FO3C1AOVAA/4DNri4F3gS6qWh4e2w0flA1Q1QU1mTpVvTaivJMJM3UikgaUAmNV9c1wfy6wEtgL+DjcP0ZVp4b7hwHfAXur6vS43rxn/ynaq3e+goffgsG94NIjoIMP8m64fxaP/tSBwFVDdRWZDjKrq9h1znekO8eYb78gr6yMgrJiZvXqT3Z1FThH57JS8spK6VRZwYK8At7ZYmu072AyXDW55WtZnNeZtRmZXPf6CwxYvZKcinJ6F68BamfoqoG1GZlUBGnM79YDnGPIiqVUZGZSnp5Bn/CcWgJg28Hw1MUwoPuG7SvWwIRnoGgtXHwobNk/Xu+mMa0lLim1h/f5W63P+lOmnp2w1F0QBG8Ak5xzjwVBsNI51zUIghOAcc65g5pbjjW/mob8RVUnRG4QkaOAbGCJiETuWgsMBBaE63MbKbdHWMacmg2qWiwiS4EB+EEZ2VFlzMGYtrDXNv4V5bIztuSyek/YMvx5CACV5eUs22kCxR1zIAgo6tCRrZcuoktZKUNXLmdU4Q980bs/f9lnLO9uviUEAbklxdw7/Fc889TBDVYrHegUvrq07A6hW75vcjXGJJPzgDeCIDgN6BQEwevAFviuTs1mQZ2JRSFQAnRV1epGjmts3zJ8BnAwPgNYk6nrCczHZ/0qwv2zw3MGt6DOxrSZjOxscorWUNyhIwC9ilbTJarP2/Alixj/9iv8c7tdeHvocPLKyxoN6Iwx8ZFMfeqcc7PC0a4HAa/g/x6+4pwrjqUc61NnYqH4jpt3hs2uiEgPERnX7AJ8MPgYcJ2I9A0HTdwCzAJmqGoVvo/eNSLSS0Ty8aN/jNkk/JyZycBVK0ivrqZTxdpa+9ZmZHDtvofw4G6jCdLS2HLZYnLX1NN0aoxpd5xzpc65Z5xzNzvnno41oAML6kwMwoDsEHz/hk9FpAj4CBgVY1F/wAeIn+AnYegDHBwGdADn45tcZwFfApPx8+UZk/RGTLuUDmvXMmLu9/xi+VIASjMyWZybz8tb7cDy3HwAijp0pFPlOkqzshorzhgTJy7qlUhBELwXBMG79b1iKscGShhTh/2nMC3y/vBL2WPB3PXrRVnZXHjQOLZZuohve24YfZpZXo78bntOHDW47StpzKYjLu2kD/76nlqf9ae99X+JHChxUtSm3sBp+MET19ZzSr2sT50xxrSyEgKqCUgLvx9kVFXRo7iIH7r1Ir+slLLMLNalpzOzey/usIDOmIRIsj51j0ZvC4LgeeBh/Bx2zWLNr8YY08p+M/MGPunTj/K0dIozM5mXX8BXPXpRlZ7Omo45rMvIoDoIyIl8JqwxxtS2ED9Xa7NZps4YY+Jgl2//CkB6aRm/yOlI7tHPUZnTiQzAOUfaugpefHj/xFbSmHYsmfrZBEFwatSmHPxTlz6KpRwL6owxJo4ycvz0JseemM0Dz0OnjCycq2a3PfoQJFHzjzEmoU6MWi8BPsA/ganZLKgzxpg2cvoRlYwde0Ciq2GMAeI0/mKjOOf2bo1yLKgzxhhjjGljQRAMac5xzrkfm1umBXXGGBNn3y5eyTkzdwACzpm5iMJL+jZ5jjEmvpJg9OsP+K59jVXE4Z8U2Cw2+tUYY+Jsv8fW4j9u/Wf3oImLElofY0ziOefSnHPp4c+GXs0O6MAydcYYY4xph5Jp9GtrsaDOGGPizTmIbOpxjkETrRnWGOMFQZAB/B+wF9CdiCZZ59yezS3Hml+NMaatJb4vjzHtnguCWq8Euw34HfAu8CvgeaAn8HYshVhQZ4wxxhiTWIcDBzjn7gAqw5+HAjFNdWJBnTHGGGPaHRf1SrAcYH64XBYEQY5zbhawQyyFWJ86Y4xJEOecPVXCGAPwDbATMANQ4OogCNbgn//abBbUtTIRmQJMU9Wb2uBadwHHAh2AIUAuMAnYBpiqqoc1cf5IYLKqFsS7rsaYKM6xYtUqunfpkuiaGNMuJUE/ukjnA1Xh8oXAvUAecGYshVhQ18pUtcXPABKR3YCrgN3wv6NZwJ2q+mjEMbsDpwKDVXVZuG0CPn07ArhMRIrDwwN8areUDVnm61X1eiCpAzoRORm4QlWHJrouppXc8yq8qrBsDVRUwrA+kJ4O3fPh2fehtCLRNWxV9+0wAg44vN59R//5Gx4elc2gI37VxrUyxiQT59wnEcvfA7/emHIsqEsyIrIf8DJwA3A8UAYcBNwnIkNU9arw0CHA4pqALmLbdFV1wPXhCxHpjw/2tlbVuW1yI8bU55/vw6WP1d42+6fE1KWNLM3Nq3+0axAwu1c/zvjPMt4YPh+2GtD2lTOmHUuCfnTrBUHwOb6l7Wnn3Pymjm+IBXWtTESmA28BNwOJYWNAAAAgAElEQVR34UevdACWAH9S1WebKOJvwFOqek3EtmdEJAd4QEQeBo4GrgWywmzcDKAbvtl1pIhcCpyvqg82UddRwFuqmhGuP4J/HMk6/EicEuBifFv//cCW+Lb+41V1UXhOTliXI4DOYV3OUdUfIvbfEJbXEXgfOE9V50W+X6o6IaJeDhiJT0X/PeI+AQ5S1elNvIctUlRURF5eni3HYbl85lyyY/hdpIJ/b91IP+eMDOYXdIO5S2GrAUnxO7JlW0625Xbianx3qquCIPgUeBJ41jm3MpZCbPRr/JyE7/S4larmA6OBrxs7QUS2AIbio/VoT+KbUfcN++udBfyoqrmqOlpVtwPeA64LtzUa0DXiSPz8OF2B6/DB3LXAYUAv/JebyICzJtjbFegNfAy8IiKZ4f7bwn27AoOA5cBkEWny0Seq+mHUfebGO6ADan2Q2HLrLmcfvzd0zqFeSdW9pfX8+vuZDe7LX7GEcbM/gxFbAcnxO7JlW0625XhJpnnqnHP/cs4dDfQBHsL/zZ0fBMHLsZRjmbr4qcAPXBguIh+qanPSqT3Cn3VGu6hqhYgsx09GGE9vq+q/AUTkMXxnzcdVdUG47TngjHC5O3AcMEhVl4TbrgEuAHYRkQ/wwe1YVV0Y7r8AWAnsDHwY53sxyWaLfvDprfDVPCirgKJSGD4A1pRB7y7wzldw1yv+CQxFZVBdDWvX+XPTAn9OZjp0zIbydT5AHNYPvl8Ey1ZBkAaVVbXbVbLSoaKq3uq0haM+/Q+P77Jn3SZY57hya8fRVx0AuR0SUzljTFJxzhUFQfAksArIAg6M5XwL6uJnEj6zdRswTESmAuNrmiUbUNM/rh9+cMR6IpKFf3TIsuiTWtnimgVVLRWRWtvwgy1qvkJtFv78IjyuRiYwAB+kZgNzIsosFpGl4X4L6tqjngUwuoHxOUP7wGn7tm194mw7gImL6u4IAg4/cXs/SMQY0+aSrE9dgG/ROw6fpSvEt9CdFEs5FtTFiapWAhOBiSJSANyNT6k29gy374Ef8b/UqVH7xuH/Db7Z+rXdaIXhz2FRAzYAEJE0oBwYDNT0scvFZxtrMpdFQKeIc6IfhlndulU2JnlkWEBnjPEWAcXA08AI59w3G1OIBXVxIiKjgdXAF/gRrCVsmIOmXqrqROQc4EURmQPcE547BrgdmKiqcxoroy2p6lIReRK4R0QuUNWFYQC7N/BmmJV7DLhORGbi08m34LOQM8JiPgWOEZFbgbXAX6Iu8xPQU0TyVXVNW9yXMcaYdiC55qk7xDk3o+nDGmcDJeKnF/A48DO++XIQzZhEUFWnAPvgM3pz8QMLLgcuVtXL41XZFjgD+BaYLiJFwJfAUWzIbP8BP2L2E2AevhPowapaE+Dehh9dOxv4DPh3VPnT8NnJOSKySkT2iuO9GGOMMW2uNQI6gMC5ZGpVNiYp2H8K06oG1denDii8JLq3gTGmHnFJqd154EO1PuvPe/XUpErdbQzL1BljTAI8doh9/BpjWpf1qWtjIvJ34IQGdg+vmZTXGJPa9tqyd6KrYEy75jb5vFxdFtS1MVU9Cz+hrjGmXXGk7AzLxpgWC4JgX/xMFz2dc2ODIBAg3zn3dnPLsPy/McbEWeElfcmkECjjmH7Wl86YZOAIar0SKQiCc/GT/X/PhqnPyoAJDZ5UD8vUGWNMG7ht+ApgBWPHjk10VYwxyecCYB/n3NwgCC4Jt80CfhFLIRbUGWOMMabdSbI+dXlsmJS/ZlRuJv6Ro81mQZ0xxsTR0CtmMeKnBWS4bNKqq7BEnTGmHu8Cl1J7Av7z8HO1NpsFdcYYE0fDilczfdhwAPLLStn/3A947a7dE1wrY0yi+9FFOReYHATBGUBeEATf4h+jeVAshVhQZ4wxcXLsxG+Z2avf+vU1HXPYvKrRpwUaY9qnJcBO4WsQvil2hnMupuefW1BnjDFx8sG6bMisPcnA530HJKg2xphIydKnLgiCdKAYKAgfF7bRjwyzKU2MMSZe6vuSHdsXb2NMinPOVQHfAd1aWpZl6owxJl4ysgDoXryG3mtW83WfflQH6QmulDEGkq5P3RPAK0EQ3AEsIOIZ5LFMPmxBnTHGxEsQgHMsz81ny6WLufe5R7hg7LhE18oYk3x+H/68Omq7A4Y0txAL6owxJp4Cnw14f8gvuOHVZ9l13o/8d8t/8MzWv+L9Xv14/549ElxBY9qpIHkydc65zVqjHAvq4kBEpgDTVPWmNrjWXcCxQAd8NJ8LTAK2Aaaq6mFxvv4DQIaqnhzP6xiTMCuKoHMOlFXA2grokAV5Hf2+paugshoWLofCZfD9QvhyHsz/iTF9doMdd11fTJfSYrIr19GtpJjDTz4PR8AWSxbzRs/TGLm2hCr8k2HXZkCn/Xdk4SGj6Lp1f7r0z/d7Cjol4u6NMZsQC+riQFUPaGkZIrIbcBWwG/73NAu4U1UfjThmd+BUYLCqLgu3TcAPhR6hqk5ERuEnL5ypqltHXWMKsD9wiqo+0tI6N4eIzAV6A5URmyeq6nXh/t7AlcCBQC9gFb4D6eOq+mBb1NEYACqr4IRb4dVPfVC3utRvD4CJJ8MHs+DFjxo8ff9OK/kqCMhat46tlyxk7Mz/cfbhJ/F1r77s+93XXPX6C1y732HM/qWw34x31p/XqRJ45b8MeeW/LMztTE5pEdnV1XD+WLju+LjesjHtiWv6kDYTBMF8GqiSc25gc8uxoC4Jich+wMvADcDx+If6HgTcJyJDVPWq8NAhwOKagC5i23RVjfzHUQVkisgIVf1PeI2BwC7AovjeTb1OV9VJ0RtFpB/wMfAZcDA+kAXYFbhARB5RVZvky7SN6V/5gA42BHTgP3YvfxzWNf5P8YduPQGoyMzkf/0H87/+g9fve+MX29KzeA0TXnuer3v1rff8AOhfvHrDhjsmw1n7Q78WD5AzxiSfE6LW+wDnA0/HUohNaRIHIjJdRK4QkWwR+YeILBWRNSLyvYgc1Ywi/gY8parXqOoKVS1V1WeAPwCXi8hgERkPPAAMEZFiEXlbRD4H9gauDLedFlHmA8AZEeunAU/hA8aaeueIyAsi8lNY3/+KyL5R93aqiMwO9z+Ob/aN3D9QRJ4Ly1gc3n9eM9+6a/EzaB+mql+q6rrw9Z6qHtFWAV1RUZEt2zLk59CgnA5NznGVW7620f0/d+xERXoGQ5ctafCYWl/bszKgQ1byvD+2bMtttBwvLghqvRLJOfdO1Otp4DDglFjKCZxLpgRkahCR6cBbwFL8iJZfq+oKERkA5KnqzEbO3QL4NjxnatS+LHwQdpaq3i8iJwNXqOrQ6Gur6oRwfVRYl774ZsxB+EkO5wJjgeeACar6iIjkAocCLwFrgQvwTaGbq+oyERkJvIHPok0DjgMeBJ5Q1ZNFpAPwFfAkPsvYAT9M+ydVPTWsz9ywzvVl6hYBD6rqlY29v23A/lMY79aXYNJ06NkZFq2Epauhb1e443SYOR+ufgpKyuuc5oDXhg7nrKNPq90Z2zkIAjqXlXLL5Cd5f/Awdiz8kYO/+7LeMt4aNpydlsynS7ccuGocHL5b3G7VmCQWl4jrpkMer/VZP/6lE5Nn5AQQBEEXYK5zrnNzz7Hm1/iqwA9cGC4iH6rq/Gac0yP8uTB6h6pWiMhyoGesFVHVpSLyFj7FW4gPtD4TkchjivGDLGrcLCKX4B9b8irwW+A5VX0z3P+YiPwu4viDgEBV/xyul4nIlcAHInJGRKbtPhG5O+K84aq6KLz39fctIl2BH8PVbOA3qvpurPduzEa78BD/qs/IreF3+9e7KwDOuuGHenYEbLOwkN9/OJVlnfKoIuD7Q0YQXHl5vWXst/E1N8Y0IZm+vQdBcG3Uphx83/IpsZRjQV18TcJ39r8NGCYiU4HxqlrPp/16Nf3j+rGhTxmwPlPXPeKYWN0PTMQHdfdH7xSRjsDN+H9I3YFqII8NgWZ/QKNOmxOxvBkwUERWRR3j8IMjagK239WXqQOWh9cAQFVXAgVh3Sqx7gJmE1J42VAG3Vjnuxk/d+zEtKHD6bBuHd9WVfPclaPavnLGmGQT/fzAEuBW4PFYCrGgLo5UtRIfRE0UkQLgbuAhYM9GTvsen506DpgatW8cPkB6M/qkZnoD+Du+3119w+guDOu2DzA3HD27nA2p74XA4KhzBgM1QWoh8F30KNsYTAGOEJFrVHXdRpZhTHJyjqCqioUFXbll4uGJro0x7V6i+9FFucw591P0xiAIegN1tjfEgro4EpHRwGrgC3xfuBL8SNQGhYHUOcCLIjIHuCc8dwxwO376jzmNldFE2WOAjmFTa7R8oBxYAWSFTa8FEfsfB14TkUeAd/BB5i5sCOpeAf4iIn8C7sL33esL7Kyq/2pGFf+Mf5DxC2EZs/BB7K7EqU+FMXFVVQUZ4cdsEOAyMqCysvFzjDHt0Xf4v8HRZgJdm1uINWfFVy98IPQzsBg/SOHMpk5S1Sn4bNme+AENy4HLgYtVtW7nmxio6kxV/bSB3bfi54VbBMwGSsPr15z7DnAufiTtSvwcd/+M2F8KjAaG4wOy1fhs4/bNrNsCQPDPvXsFWAPMA/6CHwH0n+bdpTFJwgaiGZO0XNQrweokLoIgyMd3g2p+ITb61Zg67D+FaRWDJhT6TF1kM8+6dRReMShxlTJm0xOXlpobDp1U67P+shdPaPMWoYhJh/tSd97YbsBTzrnTm1ueNb8aY0ycfHZuAdvfU1QrqBuwajk+aW+MSaQk6VN3Aj5ofRU4MWK7A5Y4576NpTAL6hJARP5O3dmjawxX1XltWR9jTHx06dyZg796h5e3/RUEAUOWL6G4MqbWFGNMCnPOvQMQBEF351xpU8c3xYK6BFDVs4CzEl0PY0z8fdK9G1e/9jxdykp5c8gW/O0pG/lqTDJIpn42zrnSIAi2B0bipxQLIvb9ucETo1hQZ4wxcfTRHSOAEUyePJn6pyo2xrR3QRCciZ/T9g3gAPwUX/vhn/DUbDb61RhjjDHtTjI9+xUYD+zvnDsMKAt/HgnENGerZeqMMSbOBk2YC2nbQ9U6xo5NdG2MMUmop3PuvXC5OgiCNOfclCAInoilEMvUGWNMHA26bi5kZEJ6OmRm+2lOjDFJIIh6JdSCIAgGh8vfAYcEQTAS/wz5ZrNMnTHGxFGQlrahaScIIN2+Sxtj6rgJ2Ao/4f+1wHNAFnBeLIVYUGeMMXHk6gRxCc8IGGNIutGvj0QsTwmCoAuQ5Zyr75GeDbKvjMYYE1cWxBljmhYEQbcgCE4MgmC8c64CyA+CoH8sZVhQZ4wx8WSPYjQmKSXT6NcgCPYCvgWOB64MNw8D7o2lHAvqjDEmnqL/WCR+6gRjTPK5HTjGObc/UBlu+xjYOZZCrE+dMcYYY9qdJMuhD3bOTQ2Xa6pWQYxxmgV1MRKRKcA0Vb2pDa51F3As0AEYAuQCk4BtgKmqelgMZQ0EZgJbqOqiOFS3oev2B+YDm6nq3La6rjHJYND18yEtjaC6ChekkbOunOzycirzLyJjzdOJrp4xJnnMDILgN8651yO2/Rr4MpZCLKiLkaoe0NIyRGQ34CpgN/zvYBZwp6o+GnHM7sCpwGBVXRZum4APkEaoqhORUcA0YKaqbh11jSnA/sApqvqIqs7DB4UJJSJXA1cAayM2L1TVX4T7A+BM4HT88O4KYDHwCnBHWwakxsTMOdxf/8WHD83gH7vvDcO2ASC7qopnH7uDX/60gCp8vxeXP27jhlAEwDljoEsujBsJ/bu3Xv2NaUcS3Y8uykXAK0EQ/BvoGATBfcBY4JBYCrE+dW1MRPbDB2If4rNvPYCJwO0ick3EoUOAxTUBXcS2L1U1MmtcBWSKyIiIawwEdgGSNQCarqq5Ea9fROx7CN9J9Eagn6p2BcYARcAeCairMc132eME1z3D7gvnUti1p+8/FwSMmPMdv/xpAQDptHCqUwfc9W+49p/wm6uhZG1TZxhjkpxz7iPgl8DX+L+Dc4CdnXOfxFKOBXUxEpHpInKFiGSLyD9EZKmIrBGR70XkqGYU8TfgKVW9RlVXqGqpqj4D/AG4XEQGi8h44AFgiIgUi8jbIvI5sDdwZbjttIgyHwDOiFg/DXgKKIuo92ARcWFzKCKyg4i8LyKrRWSliHwgIl3CfeNE5BsRKRKRJSISmUHsJiIPish8EVkmIs+ISK+I/b1F5OWw3O+g+c8wF5GRwMnAsar6vKquBlDVuao6IXyf4q6oqMiWbXnjlqdvaCmZ27XH+uV3Nt+KirR0Wt385TB3aez1tGVb3oSW48VFvRIhCILe6+vj3CLn3E3OubOdczc65xbEWp4FdRvvJGAnYCtVzQdG4yPsBonIFsBQfL+4aE/iv7zvG/bXOwv4McxkjVbV7YD3gOvCbQ9GnPsIcKiIdBaRdHyz7f1N1P9vwBtAV6AXcCFQISI5wOPA2aqah88OPhDWPwBexP/73wYYhM+gPRlR7hP47OFAYE98kNZcBwALVPW9Jo+Mo7y8PFu25Y1b3n/H9dvy167/TkVlejqrOnak1Q3pDZv1ir2etmzLm9ByivsuciUIghdaUpj1qdt4Ffg+asNF5ENVnd+Mc2q+ui+M3qGqFSKyHOgZa0VUdamIvAWcABQCP6nqZyLS2GkV+MBrQDiA4SOAMKhbB2wpIp+p6kp8MAnwq/D1a1UtD48fDywPM4AOH9wODbNsq8Mm5Teirr2XiKyKWJ+gqn/Fvz+13hsReRqf7cvAZzgjM5LGJJerj4X+3Xj7zvfou3olqzrmrJ/C5IKDj+fhZx4ku6pyfVZgo5pgM9PhyqMhOwuO3B1yslur9sa0K0nSpy66EqNaUpgFdRtvEj7DdRswTESmAuNV9YdGzqnpH9cPPzhiPRHJArpHHBOr+/F98wppOksHcAq+79r7IrIOfz/XqGqpiByIz9z9RUR+BG5R1SeBzYBsYElUwLgWHyBWheuRTyyfU8+131HVX9ezfTlQa/ZsVR0HICIPAJnNuC9jEuv0/Rh9+n6MBgZNmAsZmRAE/GfIL9j24r/QpWg1791zPVk2+tUY08otvxbUbSRVrcQHURNFpAC4G9+5cc9GTvse+BE4DpgatW8c/pf75kZW6Q3g7/h+d8c3dbCqzsE30yIi24bnzwEeUtXpwPSwKfdg4HkR+RgfrJUAXVW1OrrMmv56+GbZ2eHy4BjuYQpwqYiMTHQTrDGtofCKwQy6cUPyuTwjk58KullAZ0wSSJJ56jKCINibDRm76HWcc283u7BWrly7ISKjgdXAF/gBCSVsyFTVK5yG5BzgRRGZA9wTnjsGP5v0xDDYillY9higo6o2+QBgETkJeDOcImQVfgbrqnDQwx7AW6q6OqKZtApQ4HPgThG5SlVXiEgPYB9VfVpVF4jIdOAmETkF6Aj8OYZ7eFdEJgFPicj5EXUYAGxO7QygMcYYs6lbik8I1VgRte7wfdubxQZKbLxe+AEFP+PnURuEn1+tUao6BdgHn9Gbi29yvBy4WFUvb0mFVHWmqn7azMNHA5+KSAl+epUn8feTBpwNzBWRIvyAipPCEajV+DlzgvDcInxfvFER5R6Hb6Kdj++L91iMt3EScD1wGbBIRFYCrwIz8O+TMcYY03LhlEPrXwngnBvsnNuskVezAzqAwNnDpo2JZv8pTKsZdOPC2n8wnKPw0n6Jq5Axm564RFxXHv1src/66545KilGTrSENb8aY4wxpt1x8YkVE8qCulYmIn/HTy1Sn+Hh47qMMcYYY1qVBXWtTFXPwk8cbIwxUFUF6em+CdY5qKhIdI2MMYBLvUSdDZQwxph4Krx8oA/kqqqgrJTCP2+W6CoZY1KUZeqMMSbOCv+8GZMnTw7XhiW0LsaY1GVBnTHGGGPaHRsoYYwxJmaDJi4CtyMA53y1gMLL+jdxhjHGxM761BljTBz5gM7VmuR00AR7OIoxieaC2q9UYEGdMcbEW+Tkw0EAafbRa4xpfdb8aowxxph2JxX71NnXRWOMaWvp6YmugTEmBVmmzhhjjDHtTqr0o4tkmTpjjDHGmBRgmTpjjDHGtDup2KcupYM6EZkCTFPVm9rgWncBxwIdgCFALjAJ2AaYqqqHNaOMk4ErVHVoK9TnEaBSVU9vaVlheXsA76lqm/wvEBEHjFTV99viesa0KecSXQNjTApK6aBOVQ9oaRkishtwFbAb/v2aBdypqo9GHLM7cCowWFWXhdsmAPOBEarqRGQUMA0oCU8rBz4CzlfVH1paz0QQkeHAtcDeQEdgDvAgcLuqVieybmYTcMdkuPZpcEDfLlDt4MJD4PT9oLoaRlwKX8+re15GGgztA7MWtnmVN8bFO+7KXw84us726vxjScsIpzdZVwkEkNsB7j8bDpS2r6gx7Yz1qWtnRGQ/fCD2IT771gOYCNwuItdEHDoEWFwT0EVs+1JVI7+SV6lqrqrmAgOBlcBj8byHeBGRXwIfA8vw2cgC4ALgQuDhRs7LbJMKmuRWXQ1/fhLWVUFlFcxbDgtWwEUPw/zl8OBb9Qd0AJXVm0xAB/DQiP3qbgwCJu61v7+Xikof2DoHRWVw0h1QZd+JjDGxS+lMnYhMB94CbgbuAg7FN48uAf6kqs82UcTfgKdUNTKAe0ZEcoAHRORh4Gh8tipLRIqBGUA3fKAzUkQuBc4HZkcWrKolIvI08FQj9c8BbgAOx2fC3gfOU9V54f5M4I/ASUBfYClwiao+V09ZVwC/Bcao6vciMhC4FdgD/ydlMnCRqhaFxw8D7gd+BfxI3UDtVn8b+vuIbW+KyAnANBG5X1XfF5GrgT2B/wInhj8PaOr6G6otdwObAwqc0RZZzaKiIvLy8mw5nssOnKunR4tzFK/4mdziskZ/R5uSksyserev7Nip/hMqq6C6mqLSkuT5fdmyLSdwOX5SL1XXXjJ1JwE7AVupaj4wGvi6sRNEZAtgKL5fXLQn8f8a9g37650F/Bhm4Uar6nbAe8B14bYH6yk/HzgOH6g15DZg1/A1CFgOTBaRmkmuJgAnAEcB+cBewHdR18kUkYeAA4Hdw4CuA/A2MBPYDBgO9AfuCM/JAF7Bv0c9gSPDe6wpsyMwqr73RlWnAwuAyKbvPYHFwADgiKauH+HM8No9w7q8HHHvcRP5QWLLcVpOTyM4ZZ/12+mY5Z+0cN5B5G4/DH5/AHRr5AO9oIGAKAntM/O/dTc6x7Vvvlh3ewDc8FvIzEj878iWbTlJlk3zpXSmLkIFfuDCcBH5UFXnN+OcHuHPOu08qlohIsvxwUYs0kVkVbicB/wE1DuAQkTS8MHoWFVdGG67AN9ku7OIfAScDRyjql+Epy0IXzU6A1OAVcBoVV0bbj8ICFT1z+F6mYhcCXwgImcAuwCDgT+qahnwvYjcAvwjPL4rkE49701oEbXfm0JVvSVcrhCRIxu7vqpWhdtvqcnMich44Oewbh80cF2zKbnjDJh4kg/msjJ8M2R22DrfIQvm3A8riiAr3TdTVjvITIPsLH/cmhL4YRF0zffnZ2fBqmL4fDZsNQA+/s4Hhkt+hsUrfVlzl8CsH6FHd6isgJXFsKbM93TNwOfxC/J97rhXZyjoAJv1g7xc2LwXrCqB1cWwqgwG94LlP8OiFbCqCDKzYPZSGNQZXBoQwNaDeDXYsd7b7/jl7dCvW9gEXQnVQHYGZLaXj2VjEssFqZepay+fHpOAXvjM1zARmQqMb6Ipr6Z/XD/84Ij1RCQL6B5xTHNVqWpBWEYmPsM2XUREVWdGHdsDyMYPPgBAVYtFZCk+4zUb6ERUZi7KSHxgt2NEQAc+OzYwIsCs4YDe+KzZUlUtjdg3J2J5JVCFf2/q0xeYGrEe/fTypq5fEyzOrdmhqqUisiysm0kVHSKaJrPr6W7ZWLYuvxPsOKzu8Zv38ctbDWp5/VrDxEX1b+/f3f/MyvAvY4xpoXbxSaKqlfgBDhNFpAC4G3gI3yzYkO/xfcmOo3aAAjAOH4C82YI6rQOeFJE78U2V0UHdMvwI2cFATbYqF58Bmx/uLwWGhXWtzyvA5/g+br9R1c/D7YXAd6q6dX0nichCoKeI5EQEdoMj6l4mIu/i35sHo87dEx94TYnYHN3ru9HrR1h/zbB/YQ9qZyKN2TSlYIbAmE1NKk4s1C6COhEZDawGvgDK8I0tVY2dE05Dcg7woojMAe4Jzx0D3A5MVNU5jZXRRJ3S8f3FuuEDr+jrV4vIY8B1IjIT34R6Cz5rOCOs3z3ATSIyD9/nrB/QNaI5FlW9KxzAMVVExqrqh/hg7y8i8if8AJJifHZtZ1X9F36qlUJ8EDw+3HdhVBUvAt4LBzJMwGfvRuIHVDypqu81cvtNXb/GH8LBLguBG/FB9seNlGvMpqGq0Y8fY4zZKO1loEQv4HF8n6zF+EEHZzZ1kqpOAfbBZ/Tm4gcqXA5crKqXb0Q90kWkOAyyVgFXAmeq6lsNHP8H/KjPT4B5QB/g4Ig+Z5cDzwAvAkXAdPzgjuj7eBj4PfBvEdknzL6Nxg9QmIUPeKcC24fHVwIHA7/Ej6h9gQ396WrK/B9+AEdffJZxFT4Dehd+lG2Dmrp+hAfCay8DtgMOibh3Y4wxZqO5IKj1SgWBs5nNjYlm/ylMqxnUQJ+6wkv6tnFNjNlkxSXiuvCEl2t91t866eBNPrJrF82vxhhjjDGRUvHbe7sO6kTk7/h53uozvGaSX2OMMcaYZNeugzpVPYuISXWNMaa1FV7SN2yCrckLBNb0akwSSJV+dJHadVBnjDFtofCSvkyePBmAsWPHJrg2xphUZUGdMcYYY9od61NnjDEmZttOXMiaim0hfR2WqDPGxEt7mafOGGMSYtDVs1njgKwsSMth0PXNefS0MSbeUnGeOgvqjDEmnrKzNzwWLAggzT52jTHxYZ8uxhgTTymSATDGJD8L6owxxhhjUoANlDDGGGNMu5Mq/egiWYl2dY8AACAASURBVKbOGGOMMSYFWFBnjDFt7Mn3FiW6Csa0e46g1isVWPNrnInIFGCaqt7UBte6CzgW6AAMAXKBScA2wFRVPSzedWguEXHASFV9P9F1MSaunKszWOKy96s5bmSC6mOMSVkW1MWZqh7Q0jJEZDfgKmA3/O9sFnCnqj4acczuwKnAYFVdFm6bAMwHRqiqE5FRwDSgJOoSBwKvRqx3AKqBinC9UFW3FpG5wCBgF1WdEXHtY4CngXdUdVRL79eYmMycD4VLYY/hkNcRFq2Ez36ErQbAd4ugZ2fYYciG4z+dDcvXwN7bwozvYF0VLFoB782EpashtwP06AzTvoR5S8AF/hiAdKAq4mcTqgEuu7n2xiCg96qVVOVfTHqs99ohA0YOhy0HQL9u8KvNYcv+cO8UGNgDjtsr1hKNabdcaiTnarGgLsmJyH7Ay8ANwPFAGXAQcJ+IDFHVq8JDhwCLawK6iG3TVTXyaShVqppbz6XWbxORt4D3VfXqeo77BjgDmBGx7YxwuzFta/IM+O3tUFUNwwfA/WfDmOtgVQmkp/ntALedBqft64OfS8LvQgO6w/zlsV2vKupnE0qzstl86RJm9+5ba/tPnbuwLj2D9KrK2K6/thLe/MK/amRnQHlYzpRP4fELYyvTGJMyLKiLMxGZDrwF3AzcBRyKz4QtAf6kqs82UcTfgKdU9ZqIbc+ISA7wgIg8DBwNXAtkiUgxPuDqhm92HSkilwLnA7Nb4ZYeAS4TkT+oarGIDAG2B+4F1jcoicj5wO+BfsDPwBPAFapa58+hiPQAXgJmAmepaqWIHApcCWwOLAYmqOoTrVB/k0qefm9D4DZzPjw01Qd0sGE7wBPv+KDuyXc2bIs1oNsIn/fuz0Xvv87/HXlK7R1paRRld6BDaXHLL1IeERi+9r+Wl2dMO5Eq/egi2UCJtnMSsBOwlarmA6OBrxs7QUS2AIbi+8VFexIIgH3D/npnAT+qaq6qjlbV7YD3gOvCbQ+20n0sAt7F990DOD2sX3nUcQuAA4B84BB80/Dp0YWF9/gB8Kqqnh4GdPsCDwIXAF3x793dIrJnK91Do4qKimx5U1neasD6beRkU/bLiPUIFcN61z0+M+bGz5gNWbGEISuW+X51kZyja1l0L4hW0KcLkAS/F1u25VZcNs1nmbq2U4Fv4hwuIh+qanMeANkj/LkweoeqVojIcqBnjPVIF5FVEevTVfXQGMu4H7gqzBKeDOwL1BqEoarPR6z+T0QeB/YB7ovYvidwLnBxVBbufOAOVX0vXJ8hIpOA3+IDyrjKy8uz5U1l+dIjoGMWzP4JThxFx922hJwcmPYFbN4bCpdBzwKyLg7/id92GvTtCiuK4Lg94cWPYXUJfD0PflgMFZV+UEN6GpRV0FK9S4p5YOe96gyUyC8tIS060GuuNKBbPhR0gt/sAMMHwm0vQdc8mOSbXhP+e7FlW27F5XjZyP+BSc2CurYzCegF3AYME5GpwHhV/aGRc2r6x/XDD45YT0SygO4RxzRXlaoWxHhOtCn45tYrgbmq+rWI1ArqRORY4EJ8v74MIAv4KKqc84CvgH9Gbd8M2FtEIjsHpeMzj8ZskJEOF0V9JzlmD/+qT6cOcPWxG9Z32zJ+dcOn0h+4cWGdEbB9f15GsObp1rvQCaNaryxjzCbLml/biKpWqupEVRX8CNJS4KEmTvse+BE4rp594/BfNN5s1Yo2Q9gv7iF8UPeP6P0iMgAfxE4A+qhqZ3zfwOgODCfjg7XnRSQ7YnshcLWqFkS88lT1wNa/G2PaQGSmzjlm5XVJXF2MMYB/okTkKxVYpq6NiMhoYDXwBX4EawlNjKELpyE5B3hRROYA94TnjgFuByaq6py4Vrxht+MzZ/XNM5eL/8KwDFgnIrsCJ1J3hGwxvt/d88C/ReQQVS0Jy35ERD7C97dLB7YFAlXVeNyMMXFTzzx1hdcPT1BljDGpzDJ1bacX8Dh+JOhifLbuzKZOUtUp+L5oewJzgeXA5fh+aJfHq7LNqNfPqvqWqq6tZ983+Hn1XgJWAZcCTzVQzlr8iOAVwJsiUqCqb+CnSbkZf7+L8c3W9U3FYkxy29i+c8aYuHJRr1QQOPvAMSaa/acwrWbQDQsgLeL7s3MUXtovcRUyZtMTl7bR353yWq3P+vse3n+Tb4O15ldjjImnFOmrY0yqSZV+dJEsqEswEfk7cEIDu4er6ry2rI8xxhhjNk0W1CWYqp6FnzjYGJOKqqt982sKZgWMMcnFBkoYY0wcFf5pAFRV+eCuupoju1Y3fZIxxmwEy9QZY0ycFV4+kMmTJwMwduzYBNfGGAOp2afOMnXGGGOMMSnAMnXGGBNn6/LHcVC4XMwT5LbmI8KMMRvFxWemlISyTJ0xxsRRef44MvATbQVApwTXxxiTuiyoM8aYOKoJ6Gr5xxMJqIkxJpILar9SgQV1xhjT1n5M1CObjTGpzII6Y4xpQwGw9p6vEl0NY9o9R1DrlQosqDPGmDhzUcuZiaqIMSalWVBnjDFxtDY9o1YOIDXyAcZs+qxPnUkKIvKIiDyQ6HoYY5pWBVREhXKu/kONMaZFbJ66kIhMB95S1QmNHDMKmAaUhJuKgDeBP6jqinjXsTWJSA/gRmB/oDP+Xj4DTlXVxYmsmzGppFNVZa2QzmHZOmOSQar0o4tkQV3sqlQ1F0BEBgGvArcAJyeyUs0lIun4vyuTgNXADqq6VER64gM8SyKYdmHq7LU8/t8S+uSlAzB/dRVr1lbx9dJKKlvr8azOceSBR3HLq8+u3xQA1+95AA/cuBCaeExRXnbACdvnMH6vfNJS8JFGxpjWZUFdFBHJBu4CDgU6AEuAP6nqs9HHqmqhiLwKHBBVxkjgBmA48DNwD3Crqrpw/xjgZmAgMB34Hh9cjQr3O2Ckqr4fro/CZxHr/X2JyPXAOKBnWN+7VPX2cN9gYA5wOnARsDkwCNgdOEZVl4b3shR4rLn3ISI5+MBwdyAH+AG4RFXfjLjufcAu+EBxDnCsqn4rIhnAn/CBcBfgv8D5qvpVeO4jQDqwFjgKnxm9VlXvq+/+jYnVwjWVnPWvlVRUxfc6uRXl3DjluTrbV+XmNRnQARSVO+79uIQ++RmctKNNW2xMa0qVfnSRrE9dXScBOwFbqWo+MBr4ur4DRWQIcBDwbcS24fjs3c1AD2AMcA5wYrh/c+AF4DqgALgNOK2FdZ4J7AHkAWcAN4jIb6KOOS68lzxgGfAucLOInCkiO4QZvMh7a/Q+8P92XgCGAd2Ap4Dnw2ZdgOuBeUAvoDs+gPs53PdH4LfAgUBv4D3gTRHJj6jCkcBkoCtwLnB3mBmNu6KiIltO8eUlRdVxD+gACspKyXR1k98F5WUxlTN7aen65WR5D23Zlttq2TSfZerqqgBygeEi8qGqzo/any4iq/CzEuTgA5KzI/b/H/Csqr4Urs8SkbvxQcxjwLHAx6r6VLh/qoi8BAzY2Aqr6qSI1bdF5N/APsDrEduvUdWfalZE5Bh8sHQKcAdQHmbILlXVtU3dh6oW4zN1NW4WkUvwAfGr+PexNzBEVb8Bvog49hRgoqrOCutyLT6TOAYfHAK8raovh8svhO/59kBhbO9O7PLy8mw5xZe3zXHsOjCLj+ZVkBl+tV3XWk2uERZ07kJJRgadKitrbf9w4ObNLqNTZsAJvypYv54s76Et23JbLcdP6qXqLKiraxI+u3QbMExEpgLjVfWHcH+VqhaISADsBzwO9AFqAqbNgNEicnhEmWlATXDYj7qBSSEtCOpE5Dx8hq4//l9pR+DJqMPmRq6EQdkN+KxeFr4/3ePAGuDPTd2HiHTEZ/EOxGfiqvFZwJpM3R+BK4HJItIJeA64LLzuAHxzbE1dqkVkbtR7ED1YoyQs35gWy0wPmHR0N2YuXUevXJ+kXlJcRX52wFs/rGVVaSULi6rp0cnvm71iHbNXrGN1OeRlwfISKG1Wps/x+uAtOOyHmev/fDjg9uceZt/zrqpzdDowoDN0zk5jWM9M9huWw84DsunS0RpVjDFNs6AuiqpWAhOBiSJSANwNPATsGXWcA14XkXuBB0REwm2FwEOqejb1W4gPBiMNjFovpvZzv/s2VF8RGRHWdx98BrBKRJ6j7leQBvMQqloBvCwib+GzYTTjPi7Evyf7AHPDfnbLa66rqsuA84Dzwmbql4Dx+IBxPjA44h7SwvXorKgxcZOZHrBdn6z1673DARNn7Ny6UwNXXT+zzjx1Q4tWU3hJg/+tjTFtIBX71FlQF0VERuNHhX4BlOEzRI19J78V34x5DPA0fjDBOyLyGvAa/ov5FkAPVX0nPOZKETkaeB4fGB2KHyxQ41PgJBGZhg/oLmzk+vlh/ZYBLhyEcQBQZ2BH1H3eim/q/BLfVLonsDc+e0cz7iMfKAdWAFlh02tBRPnHADPwGcLV4TVq3sdHgPEi8m64/xL8v8V/N1ZnY4wxxjTMcvp19cI3Q/6MbwIcBJzZ0MGquhof2F0nIhnhCM6DgAvC85fig5ge4fE/4Ed0XoMPdi4Kr1ceUew5wFBgJfBMeH5DXsf31ZsBLMcPMPhXM+4zDXg4rF/NyNa/4qdnoan7CO95FbAImA2UUruJdwfgHXzW8Wt80HpzuO9mfED5Bn607mhgP1Vd04x6G2OMMS2Wis9+DVw9I7NM2xKRp4AiVW0weDRtyv5TmFZTlT+O9Kht1UDamqcTUR1jNkVxibhO/N20Wp/1j9+39yYf2VnzawKIyMHA+/hBCWOAI4DoKUiMMSnIAeuA7ERXxJh2zqXghN4W1CXGnvjBFx3wc7mdparTElslY0xbyT53p0RXwRiTgiyoSwBVvRi4ONH1MMbEX71t+Ved29bVMMZEScV+NjZQwhhj4ijj61vX//Fw4YusrIZPMMaYjWRBnTHGxNOAvgRrnmY58A02QMKYZOGCoNYrFVjzqzHGtIEPnzgegOEJrocxJnVZUGeMMcaYdicV+9RZUGeMMXFUsnYtw29fAewIwDlfLaDwsv6JrZQxJiVZnzpjjImj4XeshCCo9Ro0cVGiq2VMu5eKfeosqDPGmHiqrq69HgRQXl7/scYY0wLW/GqMMcaYdicV+9RZps4YY4wxJgVYps4YY4wx7U+K9KOLZJk6Y4xpa+npia6BMSYFWabOGGPaWpp9nzYm0VKxT50FdUlMRKYA01T1pja41l3AsUAHYAiQC0wCtgGmquphzSjjZOAKVR3aCvV5BKhU1dNbWpYxzVJRCT/9DH27ws/FMGcJBMDbX0KVg4XLICsDNu8FD7wFPy5tXrmXTKwdxDnHyE8/hPznoWc+LF0D2QFkpENBLuTnQm429O8O2w2E2cuhohwqqqFPPnyzCH45GMaIP6d7Pkz7CqqqoVse7Le9r/v85bBlf9isl79udbXfVl4JA7pDx/D5sz8X+3vvVdCa76YxJgEsqEtiqnpAS8sQkd2Aq4Dd8L/vWcCdqvpoxDG7A6cCg1V1WbhtAjAfGKGqTkRGAdOAkvC0cuAj4HxV/aGl9TQmoRaugAOugblLYWB3H/y00tf43ef9yAdDflFr2x3vvOoXlq7xP8udD7ZKVsHCVX7bJ7PhXx/XX+i0r+COV5pXgYN3hgfPhSNugHdn+m3d8+H1q+GzOXDWPbCuCsYfDlccHdvNGbMJS5W56SJZG0AKE5H98IHYh/jsWw9gInC7iFwTcegQYHFNQBex7UtVjfzTVqWquaqaCwwEVgKPxfMejGkTD0/1AR3AvNYL6ADGfPNF7Q1BwIIu3VrvAk15eQY8Om1DQAewfA38/TWY8IwP6ABuegFKbf48YzZlFtQlMRGZLiJXiEi2iPxDRJaKyBoR+V5EjmpGEX8DnlLVa1R1haqWquozwB+Ay0VksIiMBx4AhohIsYi8LSKfA3sDV4bbTosuWFVLgKfxzbMN1T9HRO4QkfkislxEXhSRgRH7M0XkTyLyrYgUichsETmygbKuEJHvRGRYM+67RYqKimy5vS13zyde9vjxm9obnKOgrDRu14vm0gIYUDeILM/Lrn3fnXMgKyPxvwtbtuWo5XhxBLVeqSBwLhW7CqYGEZkOvAUsBX4P/FpVV4jIACBPVWc2cu4WwLfhOVOj9mUBZcBZqnp/fX3haq6tqhPC9VHheka4ng/cC3RR1QPDbbXKEZH7gO2Bw4FVwB3ATsCOqlolIhOBscA44EugH9BVVb+o6VMX3vd9wJbAwaq6PMa3cWPYf4r2prIKLnkUZnwHu24Jryr8tArWVbaoWAccddzv+WSziO8izvHm3dezxZoVLaszQHrgL1Id8U+2Rz6sKvEZuLyOcOtpcMwecO8UuP1lWFsBv9kR7jgDFiyHix+GojK45lgYuXXL62RM64tLxHXkOf+p9Vn/3N0jNvnIzvrUbRoq8AMXhovIh6o6vxnn9Ah/LozeoaoVIrIc6BljPdJFJOzwQx7wE1DvAAoRSQNOAsaq6sJw2wX4JtudReQj4GzgGFWtaZ9aEL5qdAam4APC0aq6Nsb6GtM8Gelwy6kb1m8+uVWKDYBPblgQtTFg3zMuovCqIa1yjWb7/QH+FWlYX3jp8rathzFJwm3yIVxd1vy6aZiEbyK9DVghIi+ISFMjTGv6x/WL3hFm6rpHHNNcVapaoKoF+FGyfwSmi8jweo7tAWQDc2o2qGoxPus4INzfCfiukeuNBEYAV1pAZ1JKVlaia2CMSUEW1G0CVLVSVSeqqgCDgFLgoSZO+x74ETiunn3j8I02b7agTutU9cmwLvWN0l2GHyE7uGaDiOTis4Pzw/2lQGN95F4BxgPTRGS7ja2rMQlVXxeXdRVtXw9jTC2p2KfOml83ASIyGlgNfIHvC1cCVDV2TjgNyTnAiyIyB7gnPHcMcDswUVXnNFZGE3VKB44EugGf13P9ahF5DLhORGbim1BvwU+pMiOs3z3ATSIyD/iaiD51EeXcJSLFwFQRGauqH25snY1JiHqnTUiNPyDG/H979x1nR1X/f/x1dtNIAwwkkEJChCABBfGDCCpiEASBL80CSBME8lPEQheUJoSABWkCIl1QEASjBCWBIAiKH9AgIALplSQQSC+7e35/nFkye7Mt2b17d+++n4/HfezcmTMznzOz5bOnzJX2RS11HcMA4G5gMTCP1Fp3alM7uft4YF9gb2A6sAi4ADjL3TdmIE1lNht2GSlJ+wFwqrtPaKD8dwEH/gnMBLYmTXaoTUgvAO4HHgaWApOA9bqV3f120oSJP5nZvhsRt0j70lUfEyZSajHUfZUDzX4VWZ9+KKTVDB0ze/2PBVu9ihk/bOOJEiIdV1FSrsPPeLbO7/rfX7tXh0/t1P0qItLWNFFCpOTKZRxdnpK6DszMbgKObWDzSHef2ZbxiEg9amrSuLrasXUx8rWdNPJFRFqful9F1qcfCmlVQ6/MPS4yBGacO7B0wYh0PEVpUjvsjOfq/K5/+No9O3zTnVrqRESKbMZ5gxg3bhwAhxxySImjEZFypaROREREOp1Y7+OGOjYldSIiRbbDpVPpXjWCiqpqhoycy64fVPeriLQ+jdYVESmi4ZfPYFW37rzXqw+LN92MQ++vKXVIIkIaPJ1/lQMldSIiRVS9anXdT5UIgZPvmlu6gESkbKn7VUSkmHr2rPs+BCbMU2udSKlpTJ2IiLRMjFC9vNRRiEgZUlInItLW1q4tdQQinV45fqKExtSJiLQ5/eoVkdanljoRkWKLkRAjlbGGqlABlaUOSERi+TXUKalrKTMbDzzp7le1wbmuA44GegDDgd7APcDOwER3P7zYMTQS261AF3c/0cyGAdOAIe4+eyOPNx240N3vaY3jiZRMNhg7VlRQRQVd1q6lqkuPEgclIuVISV0LufuBLT2Gme0JXATsSbonrwHXuvuduTJ7AScBw9x9YbbuR8As4JPuHs1sH+BJYDlQA6zNjvUgcIO7r25prCKdzrvL4YoH4ImX0iSHygqY8hZUV0P3LrCqKq3PqQZWdulCr6oqOPcq6LLuV21Vly78+ycXwZhV9Z+vsgIqAnSpSD/FAzaFQ/eAfn1h9AHQs3vx6irSiWhMnbQ6M9uflIg9R2p92xIYC1xjZpfkig4H5tUmdLl1/3H3/F+Uanfv7e59gUHAxaRkcJKZdSteTUTK1BevhJseg9fnwhvz4LU5sLYKaiKsXLteQgepd7V3VVX6k1H42IQQ+Ps2H2z4fNU1sLY6HXv1Wpi5CK77E1x8H3z9+tasmYiUGSV1LWRmk8zsQjPrbma3mNkCM1tiZm+Y2ZeacYgbgPvc/RJ3f9vdV7j7/cB3gQvMbJiZnQPcCgw3s2Vm9oSZTQY+C/wgW3dy4YHdfZW7Pw4cDnwUOCEX96fN7Bkze8fMppjZmWYWsm09zewhM5uf1eVFM9uvoN4nZfstMbO7SV3ChQ4ws9fN7D0ze8TM+uf2/7aZvWZmS81sppmNMbN2MdJo6dKlWtby+8vxhSm0SEXBr9kY2W3uzI071j9ebxfXRMtabsvlYomh7qscKKlrPScAuwM7Zq1ko4BXGtvBzEYA25HGxRW6FwjAftl4vdHA1KwVbpS77wI8DVyWrftVQ+dx9zeAF4B9s/OOBB4Fria1DB4EnA4cl+1SATwEbA/0A+4DHjSzLbP9P01KRkcDHwAeB75Sz6mPB/YGhpA6kvL1nA0cCPQFDiW1Jn69oTq0pT59+mhZy+8vh89/lBapqfug4cqamvVb75rroI+1i2uiZS235bI0n8bUtZ41pIkLI83sOXef1Yx9tsy+zinc4O5rzGwR0L9w20aaTUrQAL4BPODuj2TvXzOz60lJ2F3uvoy6CdjVZnYuKWl9NCv3u6wVEOAuMzutnnNe4u7zAczsbOANMxvo7nPd/cFcuX9lrX37Aje3vKoireju78JdT8KEyenfrJ7d4KlXYNUaGLAZvPUeLFmx3odHvtVjE7ZctTIldZXrGqFjCPRbtqT+c/XsDr17pKSvT3dYWQU7DoYjPgG9NoFDP168eop0MuU4pk5JXeu5BxgA/AzY3swmAue4+5uN7FM7Pm4QaULD+7Lxb1vkyrTUYNKkCoBtgVFmdkRue0XtdjPbhNSK94UshhqgD+uS0MGAFxx/Wj3nnF7P8mBgrpkdDXyPNC6wC9AN+PsG1kmk+Lp2gZP3S68NMKB2YUzdCds1IfDBcy5kxoU7t058IiIZJXWtxN2rSBMcxprZZsD1wG2k7seGvAFMBY4BJhZsO4r0v//jhTttKDPbDvgYUDubdgZwm7t/s4FdvkeKe19gejazdhG8/2/NHGBYwT7DgMIEdhgwJbcMMNvMhpCS4COA8Vmr5I8B26CKiXRUa6tLHYGIlF9DnZK61mJmo4D3gJeAlaTHijT6mztLlk4HHjazacCN2b4HAdcAY929vhaw5sbUHfgUqfVwMuuSuhuBp8zsMeAxUvI4AtjS3Z8ijXNbDbwNdMu6XjfLHfpu4DEzuwN4ipSA7sH6Sd0PzOzlrE5jgQnuPtfMdiS1DC4E1prZJ0jj+f67sXUV6Uj6VFSVOgQRKUOaKNF6BpCSncXAPGAocGpTO7n7eFKL2N6kLspFwAXAWe5+wUbEUZnNhl2SxfEjUqvYZ2qfU+fuLwMHA9/JyiwA7mBd9+pPgXeBuaSWthXkulKzxO9bpBm57wAHAL+tJ5Z7SJM5ZpG6V4/L9v8v6bl8j2TnOY80GUOk/BQ+8iQEltK7NLGISFkLsZ5nLIl0cvqhkFYzdMzsuo81iZFQs4bp39+2dEGJdCxF6Sj9/Jkv1Pld/+effKzDd8iqpU5EpJhizfqrNvaRJiIijdCYuiIzs5uAYxvYPNLdN/IppCLSIdTE9BETOefv0bU0sYjI+8rlgcN5SuqKzN1Hkx7SKyKd0H6bdOXxtXHdA4djZPSowaUNSkTKkrpfRUSK6NYzB/KREKCqCtasZsb5SuhE2oNIqPMqB2qpExEpsnHnDmTcuHHZO02QEJHiUFInIiIinU45TlhSUiciUkQxRoZdOQfCbgCcPnk6My4cVtqgRKQsKakTESmiYVfMgi65X7VdNPNVpD0oxweSaqKEiEgxVejXrIi0DbXUiYiISKdTjmPq9C+kiEgRdVu7ps77nqtWlSgSESl3aqkTESmiiuq6HxO2okePEkUiInkaUyciIhtklZI4EWkjaqkTERGRzqcMx9QpqSsRMxsPPOnuV7XBua4DjgZ6AMOB3sA9wM7ARHc/vNgx5GJps3qLiIh0JkrqSsTdD2zpMcxsT+AiYE/SvXwNuNbd78yV2Qs4CRjm7guzdT8CZgGfdPdoZvsATwLLC07xBeDR3PseQA1QO/J7hrvvZGbTgaHAHu7+fO7cXwF+Azzl7vu0Vr1FWtXSlXD8NeBvwEEGN45e9xiSGOE7t8JDz8F2W8MrM2HV2rStb084eT/42SONH//8H6+3KvY9qvU/abJLBfTrAwT4yUnwfx9v7TOIlJVyHFOnpK6DMrP9gT8AY4CvAiuBg4GbzWy4u1+UFR0OzKtN6HLrJrl7/nu62t1713Oq99eZ2QTgGXe/uJ5y/wVOAZ7PrTslWy/Sfv1iPEycnJbv/Svs/1E4Ys/0/rEX4faJafmFKXX3W7Ki6YSuAUXp9KmqgbfeS8un3QAHm56RJ9LJ6Ce+RMxskpldaGbdzewWM1tgZkvM7A0z+1IzDnEDcJ+7X+Lub7v7Cne/H/gucIGZDTOzc4BbgeFmtszMnjCzycBngR9k605upSrdAXzRzHpn9RsO7Ao8WF+9s+UG657F/2cze9fMFpvZi2a2QyvF2qilS5dquTMtF8xOpbpmXZnCbR1ErK55vxmi3VxnLWt5I5eLJYZQ51UOlNSV3gnA7sCO7t4XGAW80tgOZjYC2I40Lq7QvaSGgP2ycWujganu3tvdR7n7LsDTwGXZul+1Uj3mAn8ljd0D+HoW3+pG9mms7lcAM4EB3Ki74gAAIABJREFUwBbAicDiVoq1UX369NFyZ1oefQB8fHuorEhdlod/Yl2ZAz8GR+6Vtu0wKH2ttUk3OOlzbIyidfv07gG9uhN+fsr7sbab66xlLW/ksjSful9Lbw2pi3OkmT3n7rOasc+W2dc5hRvcfY2ZLQL6b2AclWb2bu79JHc/bAOP8UvgIjO7nZSE7Qc0NgmjsbqvAbYChrv7f4GXNjAWkebZvDdMuCyNnyv8b72yAm4/A2771rptNTWpbGVlev+zk9O6ykqork7rqqth7dq0/vr31jtluO84WLwYav9whQCDB0O3bml5q63SMXr0SJ8bG2P6unYtdO+elmtqUtnq6nTu/DjAMml1ECmmWJyBECWlpK707iG1Rv0M2N7MJgLnuPubjexTOz5uEGlyxPvMrBupZWth4U5NqHb3zTZwn0LjgV8APwCmu/srZtZYUtdY3c/OjjPOzHoBvwPOd/dlLYxRpH6NJUL5bYXj1EJYl+Dlv3brlhVYP6njoIM2Lsbu3dct156rvnhEpFNS92uJuXuVu491dyPNIF0B3NbEbm8AU4Fj6tl2FKl35/FWDbQZ3L2aFPsPgFuaUb7Burv7Qnc/w923Az4J7AOcU6zYRUSkc4mh7qscqKWuxMxsFOlf+ZdIM1iXA9WN7ZM9huR04GEzmwbcmO17EHANMNbdpxU18IZdQxqz90xTBRure/Y4lOeB6VmZNTRxXURERDozJXWlNwC4HtiGlLg8D5za1E7uPt7M9gV+SGrBqgReB85y96Za+orG3RcDE5pZvLG6fxS4GugHLAXGZe9FRERarBzH1IUYy/HxeyItoh8KaTVDx8yuO+4tRmacN6h0AYl0PEXJvj51/st1ftc/M2bnDp/lqaVOREREOp1yGUeXp6SunTKzm4BjG9g80t1ntmU8IrKR1BsiIm1ESV075e6jSQ8OFpEObMq5A/ngVfPWPWpk7drSBiQiQHmOqVNSJyJSRF0qK5lx/mDGjRsHwCGHHFLiiESkXCmpExERkU5HY+pERGSD/XfGXE5/9SNARA11IlIs+kQJEZEi+t/suRzwG4CuQDeGjp1b4ohEJAkFr45PSZ2ISBHt/+v11ymxE5FiUPeriIiIdDrl+LAhtdSJiLS1Fe+VOgIRKUNqqRMRaWs1eladSKnFUB7j6PLUUici0tZ6b1HqCESkDKmlTkRERDodfaKEtIiZjQeedPer2uBc1wFHAz2A4UBv4B5gZ2Ciux9e7Bg2lpntA0xwd31/Snlau6bUEYhIGdIfzTbk7ge29BhmtidwEbAn6f69Blzr7nfmyuwFnAQMc/eF2bofAbOAT7p7zBKnJ4HlBaf4AvBo7n0PoAao/Ss0w913yo55EHAesGu2bTJwpbv/saX1FAHA34QZC2DyNJgwGb62L0x9C56YnNZXVEKfHtCnJwzfCjbrBc+9BkuWw+IV6dFTm/aEtdWwfHUacFKTHbtXN1i5Zt17gB5dgABdu8CaNbCmBnr3gF49oKYGVqyGmghD+qXyXSth+kJYtQZ6dofqGqisgC4VsKYa+m8KX/wedO1at15vvw1j/gkvz4R3l8PWm8P8d9MxRgyEigDjX4QdBsLgLWCrzWHqfPjPDDhmbzhhX3hnKTz9Kuy0DYwcko67ei2MfwE27w2f2bmot0ako9MnSkhJmdn+wB+AMcBXgZXAwcDNZjbc3S/Kig4H5tUmdLl1k9w9P4u72t1713Oq99eZ2QTgGXe/uCCWk4AbgDOBg7LVXwUeMLNvuvttDdShq7trlLg07b6/wuhfQMx9y555e0GhtbBsFcx7F16v59lvEXh3xbr3+QRueT2tZauqsq+5b9GlK9Mr73/1nGvJyvXXLVsF9QzG7lVdBWMeXL88wGMv5s4zZ/3tL0yBB/4G0xbAW++mxPKh82HvneCIMSnRA7jwy3DOEfWfQ0TKkpK6NmRmk4AJwNXAdcBhpJawt4Dvu/sDTRziBuA+d78kt+5+M+sJ3GpmtwNfBi4FupnZMuB5oB+p2/XTZnYe8G1gSgvq0Rv4KalV7sbcpl+Y2QDgp2Z2v7svy+r8b2AYMAq4ArjSzD5NSk5HAouBG4Gf5pNOMzshq0sfUjJ7ursv29i4pYN56Lm6CV0ZWd29W8sO8PfX1y2vrYY/PA87DFqX0AE8+KySOpFGlOOYOs1+LY0TgN2BHd29LynZeaWxHcxsBLAdaVxcoXtJHU37ZeP1RgNT3b23u49y912Ap4HLsnW/amH8ewGbNhDL3dm2PXPrTgKuzdZfa2YjSV28VwNbklr6TgeOy+1TCRwCfATYERhBSiSLbunSpVpuD8u7bEu5+tCc2S07wIBNUxdvrV23ZWk3YEhuVm12/Up+H7Ws5RYuS/Oppa401pC6OEea2XPuPqsZ+2yZfV2vP8bd15jZIqD/BsZRaWbv5t5PcvfDWhILUNsvlY/ld+7+RLa8wsy+ATzg7o9k614zs+uB44G7cvud6+7vAe+Z2Q+BP5rZaHfPd6K1uj59+mi5PSyf/8U0Ru6NuTDpZZj7Duw4OI1rmzI/jV+rVRHS2LeKCliyIo17K6aKkP6NqomNP5a+gYaA5ZWVsN3WsHhZqs8m3WB1VUrUBvVL3b3zF6f1/TdNr6lvpfF3Hx8Bv/h/aYzdH56HXbeF4z5LH4A//RB+MT6NqTvjYKAd3Ecta7mFy8WiMXXSWu4BBgA/A7Y3s4nAOe7+ZiP71I6PG0SaHPE+M+sGbJEr01zV7r7ZBu5TGEthN+7AgjIA0wvKbAuMMrN831AFaSJH3oyCY3Qn1XPBhoUrHVJlBZx+UNPl2rsr1v+fbdrOu8LdX2jZcYdssf5kiGH9YewJLTuuiHRYSupKwN2rgLHAWDPbDLgeuA3Yu5Hd3gCmAscAEwu2HUVqL3i89aOt17PAkiyWywq2fTXb9mxuXWHL2gzgNnf/ZhPnGcq6pHEYsBpYtBHxipROGbYGiJSDchxTp6SuBMxsFPAe8BJpButyoLqxfbLHkJwOPGxm00gTC1aSxqNdA4x192lFDXxdLMvM7GzgGjNbwLoxfUeRHnHynSYmNNwIPGVmjwGPkRLSEcCW7v5UrtwYM/s6aTLJxcDdxe56FWl1FZWljkBEOglNlCiNAaQJBYuBeaQWqVOb2sndxwP7klr0ppNarS4AznL3C4oVbAOx3EJK4o4n1WEuaQLIUdm2xvZ9mfQolu9k+y4A7mDdWD1ISe6fgP8A/yO1Un6vVSshIiKdVyh4lYEQy/SRASItoB8KaTVDx9bzTDtgxrkD610vIuspSsq120Wv1/ld/+IlIzp8aqfuVxEREel0NKZOisrMbgKObWDzSHef2ZbxiIiISMehpK4dcffRpAcHi0g5iXHdx4XFyLRzti5tPCJSls+p00QJEZEimnHuwJTQ1dSkVwhUVOhXr4i0PrXUiYgU2YxzBzJu3DgADjnkkBJHIyJQnmPq9O+iiIiISBlQS52ISJGlx5rsBsDpr87V40xE2oEYyq+lTkmdiEgRrXtOXfn9ARGR9kVJnYiIiHQ65fiUeY2pExFpS/oUHxEpErXUiYgUU1UVdNGvWpH2phzH1KmlTkSkmNQyJyJtRP8+iogUk1rpRNqlcvx3Sy11IiLFVIZdPCLSPrXav5BmNh540t2vaq1jNnKu64CjgR7AcKA3cA+wMzDR3Q8vdgzFYGa/ARa5++mtcKz5wOnu/ruWRwZm9iPA3P2A1jheE+c6APidu/cu9rlERKRzKscxda2W1Ln7gS09hpntCVwE7EmK7TXgWne/M1dmL+AkYJi7L8zW/QiYBXwSON/MlmXFA9ATWMG6ltYr3P2Klsa6oczsSuAsYFW2agnwEHCmu69u63hag5kdBpwDfIR0fV8kXd8/lzQw6TzmvgPn3gHvLocP9IHnXoMe3eDDQ+HtpbD79qnMxJdg5WpYuabNQ9zia99j0cDBdVf2Paru+57doV8f2KIvHLEnfDv7KLEbHoVxz4NtBxcfDV0q2yZoEemQ2s1gDzPbH/gDMAb4KrASOBi42cyGu/tFWdHhwLzahC63bpK7R+CK7IWZDSYlezu5+/Q2qUjjHnP3gwHMbBvgL8C5wKUljWojmNk3gB8D3wZ+Q+rKPwF4xMxOdvdfN7BfV3df23aRSln7xk3wxEvrr5++IH199rW2jaceu82bzl8KkrpIwaOIV6xOr1mL4F9T4UODoXsXOP+utP3Z12BQP/h/Lf7fWUTKWGt2v04CJgBXA9cBh5G6R98Cvu/uDzRxiBuA+9z9kty6+82sJ3Crmd0OfJmUAHXLWuOeB/qRul0/bWbnAd929181I97PApcDOwJvAz939+uybX2Bu4E9SC19/wPOdvdJ2fbRwOmkLt8zgF7A9cA1wK+AfUjJ5Enu/o/6zu/uM83s8Sz2hmL8IPBz4BOk1sbfAhfWtuyZ2QDgKmBfoG8W51fcfWrBcfpk+64GjnH3lY3VP9vnMOBKYDDpvs7JbdssO+8l7v7L3KmuNbOBwDVm9qC7rzKzvwNPZ+f5DPCDbHuj58/Oc0pWvhfwe+AMd1/R0PVqLUuXLqVPnz5a7gjL895p8D62F7M/sFXdFSGwsOsm9F+7suGd5r7NyljNJnXWpbqW/JprWcttvCzNV4yJEicAuwM7untfYBTwSmM7mNkIYDtSklToXtI/tftl4/VGA1Pdvbe7j3L3XUhJw2XZuuYkdLsCjwA/ArYADgXOMbMvZ0UqSK1P22fbHwEeypKZWjtk5YYCnyO1uD1CSjo3B/4M3NpIDNsC+wPPNLC9GzAemAoMAT4F7Me6VshK4FGgG/BRYDPgFGB5wXEGka7PG8CRWULXaP3N7EPA/aSEarOsHiflDrs3KdGq737dnR1z99y6k4GxpMTzlmZcf4BNSN87OwEfBnYhJZlFl/9FouV2vvy9w9Z1SXbP/Y/avWv62n9T6NGVUlpR2GUaY+MJ3Q6D4NBPsMmRn4adtknrBmwGJ4wC2sE117KW23i5WGIIdV7loBjdr2tIExdGmtlz7j6rGftsmX2dU7jB3deY2SKgfyvGeDpwj7s/mr1/xcxuAo4H7nf3d4H7agub2eWkpG034Ils9bvAmKzL959m9irwnLt7ts89wHfNrIe7146j+7yZvUtKBvuQErq7G4jxU8BA4Jxs/5lmdhFwJ3AmafzgSOAz7l47hvDfBcfYBfgJ8FN3/3lz60/q/n4q17r6RzN7lJTIQbpfEZhXT9y1H3SZv1+/cfens+UVZtbU+SFdo7PcfSmw1MwuISX4Z9RzTumsvvIp2HskLFsFW20Or85KSdy2A2DO27DNlrC6Cl6dmZK//86CF6fAqjVQEdI4tqkL4aWpsGQldKuE5aughpQkdqmAd3KNw4GGn4NQQdqvEujaFWqqYU0N0/sPXL/szkNgaH/YYweINbDXjrBpr/RMu20HpHGBAJMuh6nzYfAW0GeT9Y8jIpJTjKTuHmAA8DNgezObSEpM3mxkn9rxcYNIkyPel7VYbZEr0xq2BfYys2Ny6ypJrVmYWS/SeLEDSN27NaSEZstc+beyhK7WCuomObV/CXqzbnLEn3Nj6jYltV49bWYfrWec2RBgfi4hBJgCbJp1Dw8D5uYSuvqcksX0y4L1jdaf1OU6vWCfaazrKl5I+vO2Nesn4gNzZWoVHqup8wNUuXv+2NOBPmbW192XIFJr6w+sW95jxLrlvj3T117Ap0am5U/sAF/7XJuFBsDYuXXfhwDPXt28fbt3hR2HtH5MIlKWz6lr9aTO3atIycrYrLvyeuA2UpddQ94gdTMeA0ws2HYU6do/3ophzgD+7e5nNrD9PODjpLFxM7N1SygY29wS7v6emd0KnAaMYP0u6lnAVmbWPTc7djiwxN2XmNl0YKCZ9XL35dTve8CRwGNmdnAuGWqq/nNI4wnzhuWWnyYlrceQxlDmfZU0Ru753LqagjJNnR+gi5kNyiV2w4ClSuhERETq1+pJnZmNAt4DXiLNYF0OVDe2j7vHrEvuYTObBtyY7XsQafLBWHef1ophXg/8xcwmkCYBROBDwGbu/gxp7NcqUnLSnTS2rFX7PrLWwJNIyeL0eoo8Q2plG2tm55NaKy8hTcQAeJbUqnmzmX0HeIf0aJF57v5WVmYNaXLJ7cATZvZ5d3+bput/L2mM25GksW/7A18A/grg7ouzSSlXmtnbpC7TCuA44LvAaQUtjIWaOj+kRPAqMzuN1FX9Q1LXs4iISIuVyzi6vGJMlBhAGie2mJSUDAVObWondx9PmsW5NynJWQRcQBpXdUFrBujuLwJHkMbJzQMWkCYD9MuKXEWaKTqf1Ir4VrbcUgeY2bJs5u4s0szPA+traXP3NaREagQwm5TEPQF8P9telW0H+A9pjN8tpNm6+eNUkyavPA/81cwGNlV/d3+V9HDnK7LjnkpKDPPHvY6UxJ1CujZzSa2qR7j7XY1dhGZcf0hJ/STgv6RWzJdJLagiIiJSjxD1YdMihfRDIa1maOGYuhiZcd6g0gQj0jEVpUltxOUz6/yuf/2CbTp8050++1VEpJiqGx19IiLSatrsEyWyR1Yc28Dmke4+s4FtIiIdV2U1aXK3iLQnscO3y62vzZI6dx9NenCwiEinMePcYQy9Mvd0Hg15EZEiUferiEiRzThvEIQX+XJ4kRnnD256BxEpukio8yoHbdZSJyLSmV0/stQRiEi5U1InIiIinU45jqlT96uIiIhIGVBLnYiIiHRC5ddUp5Y6ERERkTKgljoRERHpdDSmTkRERETaJbXUiYiISKdTLs+my1NLnYiIiEgZUEudiIiIdDoaUyciIiLSSYQQpocQdi51HM2lljoRERHpdDSmTkRERKQTCyHsHkJ4LoTwUvZ192z9mBDC2dnyl0MINSGE/tn7R0MI+xc9thhjsc8h0qGEEB4Dtih1HM3VpUuXLaqqqhaVOo7WVo71Up06BtWp3VkUYzygFCcOIUwHDo4xvpy97wa8CXwtxjgxhPA54DZgO2Bv4KwY4wEhhJuBDwPXAg8C84EhMcYVxYxX3a8iBUr1y2NjmZm7u5U6jtZWjvVSnToG1UkasQOwJsY4ESDGOCGEsCZb/zfgt1ni90ngLOCLwBzg5WIndKDuVxEREZEWizGuBF4CjgbmAU8CewL7AhPbIgYldSIiIiLN8z+gWwjhswAhhFFA12w9pOTtEmBijHE1MBs4kTZK6tT9KtLx3VLqAIqkHOulOnUMqpPkTQghVOXeHw5cG0LoBSwHvhhjXJNtmwhcxrokbiKwF/B8WwSqiRIiIiIiZUDdryIiIiJlQEmdiIiISBnQmDqRDsbMjgXOAUYC33H36xspewpwLhCA8cAZ7l7TJoFuIDPrCdwOfAyoAs5y9z/WU24f4FHg9WzVanffo63ibIqZjQDuBPoBbwPHu/sbBWUqSc+vOgCIwJXufmtbx9pczazTxcA3gLnZqr+5+zfbMs4NYWY/Bo4EhgEfdveX6ynT0e5Tc+p0MR3oPsmGUUudSMfzb+Ao4N7GCpnZtsBFpCn122evY4se3cY7C1ji7tsBhwC3mlnvBsq+6u67Zq92k9BlbgJucPcRwA3AzfWU+SrpYaXbk+7PxWY2rM0i3HDNqRPAXbn70t4ThYdJD4ud0UiZjnafmlMn6Fj3STaAkjqRDsbdX3b3V4GmWty+CDzs7guz1rlfAl8peoAb7ytkyULWCuTAgSWNaAOZWX9gN+C+bNV9wG5mtmVB0a8Av3T3GndfSPpj/KW2i7T5NqBOHYq7P+Pus5oo1mHuEzS7TlLGlNSJlK9tqPsf+0xgSIliaY4NiXeEmb1oZv8wsxOKH1qzDQHmuHs1QPZ1LuvXoyPdm+bWCeAoM3vJzP5iZnu2ZZBF0pHu04Yot/skGY2pE2lnzOxF0h+T+gyo/ePa0TRVrw041IvAEHd/L+tinmBmc9x9QouDlJa4Cbjc3dea2X7AI2a2o7u/XerApA7dpzKmpE6knXH33VrpUDOBobn32wAl65ppql5mVhvvwmzVNqSP2Sk8zpLc8jQze5j0OYvtIambBQwys0p3r84G2g9k/eteW9d/Zu8LW4Tak2bVyd3n55YfN7NZwM7AU20abevqSPepWcr0PklG3a8i5etB4DAz29LMKoBTgPtLHFNjHgBOAzCz7YHdgccKC5nZ1mYWsuUPAPuTJo+UnLsvIMVydLbqaOBf2XisvAeAU8ysIhubdhjwu7aLtPmaWyczG5Rb3pU0A/N/dGwd5j41V5neJ8koqRPpYMzsaDObTRqwfZmZzTazkdm2S81sNIC7TyV9XM3fgTeAqcA9JQq7Oa4GNjOzN4E/Aqe6+1KoWy/SIxteNrN/A38lzeR7pCQR12808C0zex34VvYeM3vUzCwrczfpfrxBuj+Xuvu0UgTbTM2p0xVm9rKZTSZNyjku3yrU3pjZtdnP0WBSF/4r2foOe5+aWacOdZ9kw+hjwkRERETKgFrqRERERMqAkjoRERGRMqCkTkRERKQMKKkTERERKQNK6kRERETKgJI6ESkLIYRhIYQYQhhc5POMDiHcnXs/PoRwTjHPKfULIbwZQjixmWXb5PujLYQQumd1/1CpY5H2RUmdSCcTQhgeQngghDA/hLAshDArhPD7EEK3bPuJIYQ369mvofVfzf5YXlTPtkkhhNXZed4LIfwrhHBkcWpWfCGEXsClwMW162KMB8YYrypZUE3I7s2nSh1HZ1CMax1C2CeEUJVfF2NcTXqu49WteS7p+JTUiXQ+jwLzgB2APsCewJ+BsJHHOw14Bzg5hFBZz/bLYoy9gX7AfcBvQwgjNvJcpXYs8J8Y45RSByKd3n3AqBDCdqUORNoPJXUinUgIoR8pmbspxvheTGbHGG/K/vvf0OPtCHwaOAHYGjiwobIxxirgRqAS+HA9x/pmCOHfBeu2DSFUhxCGZe9vz1oWl4YQXg0hHNNIbBeHECYUrJsUQrgw937nEMKfQwgLQwgzQwhjQghdG6nyYcDjDR0z18V3Qhbf8hDCoyGEzUMIV4YQFmQtpN/M7X9i1pV2bghhXlbmJ/k4mqp3COEjIYTHsnq8U1vvEMLkrMhfstbSWxu4Vj1DCD/PzrEohPBwCGGbgjr+JITwYBbDlBDCoQ1dpFydvhtCmJ3t8+MQQr/sGEtCCK/lW7VCCF1CCD8MIUwNISwOIUwMIeyc2941hPDT3DU8t57zfjqE8Ex2DaaEEM4MITT7n5UQwpEhhMlZq/LkEMLhhXUqKH9H7TVt6FqHEKZn9XomW+8hhN3rO0Zu3fQQwrEhhIHAeKAy23dZCOEEgBjjEtJn0v5fc+sn5U9JnUgnEmN8G3gFuDWEcHwIYeSG/NGrx6nASzHGP5JaAE9rqGBI3bvfBNYCk+spci/woRDCrrl1JwKTYozTs/fPALsCm5G6Qe8IIYzcmMBDCP1JH2L+EDCI1GK5H3B+I7vtBrzajMMfCXyK9AHww4B/AFOAgcDXgGvySRPpQ+O3AYZncRwCnJ3b3mC9QwhbZ/V4KjvXVsCVADHGXbL9948x9o4xfr2BeH8GfCJ7DQUWAeNC3ZbXE4CfAJsC1wN3hhB6NnINhmbxDs+uxbdICcrVwOak6357rvzZwPHAF7I6PA08HkLom20/DzgY2AvYNqvr0Nqds+vxaHb8LYGDgNOB4xqJ8X0hhL2AX2fn6Qd8H7gvhLBHc/Zv4lqPBr4NfID02bGP5urV2DHnkv5Rqs6O2TvGeGeuyH9I35MigJI6kc5oH2AS8B3SB7W/FUL4QUFyt20I4d38i9TK9r4QQg/SH+HaP8y/Ag4M6w9EvyDbfzZwKHBkjHG9sXkxxsXAI6SkhyyeE4DbcmV+FWN8O8ZYHWP8DfBSVp+NcTwwOcZ4c4xxTYxxDjAmW9+QzYElzTj2ZTHGd7Ik+o/A2hjjL2OMVTHG8cBi4KO58jXA2THGlVnX7lWkhBZost7HAW/GGMfEGJdndanTQtmYEEIF6TpfGGOcE2NcTvre2BH4eK7ob2OMz8YYa4BbSMnd9o0ceiVwSRbPZFIi/88Y499jjNWkzyHeLoSwaVb+a8DYGONrWavxpUA1KTmDdF/GxhjfjDGuBM4C8p9z+Q3ggRjjI9l1eo2UfDZ2P/NOBB6MMY7P7tOfgN8DJzVz/8b8Ksb4QoxxDTCWdG0OboXjLiEliiKAkjqRTifGuCjG+P0Y426klpRzgB+SJVOZaTHGzfIv0h/NvC8BvUl/nCG1kiwECluDLs+O0T/GuFeMcVwj4d0OHJN1PY7K4nsIUvIRQrg0hPC/rHvsXWAXUqvMxtgW+GRB4nobqZWoIYuBJltYSGMWa60oeF+7rk/u/YIY44rc++mkD2VvTr2HAa83I6aGbAl0B97/oPoY4zJgATAkV25ebvvybDFfh0ILsgSwVuF1qK1v7TGGFMRQQ7oOtTEMzt7nY1iQO962wNEF9/Mi0rCA5qhz/swU6l6DjTW9diGmD1yfSXZ/W6gvaTyrCKCkTqRTizGuiDHeQWr52bWJ4oVOJY2PezmEMJ/UErc5DU+YaI7HgdWk7scTgd9krTIAR5MSxiOBzbNEczINT/BYCvQqWDcwtzwDmFCQvG6aTepoyL+AjerubUL/gq7MYaTrCU3XezqNt5jFRrZBSsRXZ+cEIITQG+gPzGpW9K1jVkEMFdn72hjmFGzvRd2EfgZwW8H97Btj3Gljzp8Znjt/U99P0PC1zscdSF3ttfe3znFDCF1I175WPjEutDPpe1IEUFIn0qmENGB/TEgTBLpmg9OPJP1xeHoDjjOSNE7qcFIyWPv6OKml6wsbE1/WLXcXcAZwBLmuV1KrRBUpCakIIZxEarFqyAvAbiGEj2X1PJ3UmlPrLsBCCCeFEHpkLWLDQwgHNHLMh4HPbXjNmlQBjA0hbBJCGE7qWqwdO9VUve8BdghpokXPEEK3EEI+xvk0kvRlLWJ3AZfKdFCpAAACPklEQVSFEAZmyeVPgNeA51upfs1xB3BOCGFENv7yAqAL8Kds+93A2SGED4YQNiF1Uef/ht0IHBVCOCT3vT0yhPCZZp7/TuDIEMLnQwiVIYQDSd+DtcML/k1Kvg/OvlcOB/YuOEZD1/qkEMJuWQv02UDPXL1eAPYNaVJQd+ByID9ZZz5pokT+e5cQQh/Sz9sfmlk/6QSU1Il0LmtIrQAPkbptFgIXAmfEGB/YgOOcBrwYYxwXY5yfe70EPEAjEyaa4XbgM6Qu4HxScSdpwsGbpFabkTSSiMYYJwE/BR4jdfsNAP6W2z4f+CxpRut0Utfq70mtMw25G9glS7xa0wxSy800Uh0fIyUt0ES9s8H0+5AmecwmJQH5SRYXAJeGNKP05gbO/13ASbMpZ5K6LP8vS7LbytWkx3T8BXiL1P2+fzbLE9J4xz8Dfyddp5mk6wZAjPFl0ji175Du9wJSotis7vkY499IYwt/TPpeuAo4Nsb492z7FNJkh1tIPzsHAA8WHKaha30LcG123K8AB8UY38u2/ZqUmL1I6u6dSbrPtXG9DvwCeD7rVq6d+HE08GSM8Y3m1E86h5C690VEpDlCCKOBT8YYmzWrshnHO5E0SUHPGytDIYTppPt7T1NlN+CY3YGXSYn3f1vruNLxdSl1ACIiHUmM8SbgplLHIZ1XNju4sXGU0kmp+1VERESkDKj7VURERKQMqKVOREREpAwoqRMREREpA0rqRERERMqAkjoRERGRMqCkTkRERKQM/H98lapPQU5mxQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x684 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_at_rim, X_test_at_rim.values, feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(shap_values_at_rim, X_test_at_rim.values, plot_type=\"bar\", feature_names=all_model_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.23.3\n"
     ]
    }
   ],
   "source": [
    "print(pd.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.14.5\n"
     ]
    }
   ],
   "source": [
    "print(np.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.19.2\n"
     ]
    }
   ],
   "source": [
    "import sklearn\n",
    "print(sklearn.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9.1.1\n"
     ]
    }
   ],
   "source": [
    "import catboost\n",
    "print(catboost.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.72.1\n"
     ]
    }
   ],
   "source": [
    "import xgboost\n",
    "print(xgboost.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sys.version_info(major=3, minor=6, micro=1, releaselevel='final', serial=0)\n"
     ]
    }
   ],
   "source": [
    "print(sys.version_info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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