{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "bd462555",
   "metadata": {},
   "source": [
    "# Classifying demographics data using mask based detertminants in the citizen shield project"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e44ca360",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### This script relies on the main following functions:\n",
    "\n",
    "- plot_decision_boundary()\n",
    "- plot_learning_curve()\n",
    "- multi_roc_auc_plot()\n",
    "- optimize_model()\n",
    "- plot_confusion_matrix()\n",
    "- summary_performance_metrics_classification()\n",
    "- CatBoostClassifier()\n",
    "- shap.TreeExplainer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0fecf3de",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "tmp = os.getcwd()\n",
    "os.chdir(tmp.split(\"matti_jms_collabs\")[0] + \"jmspack\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03fa54e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import shap\n",
    "from jmspack.ml_utils import (\n",
    "                              plot_decision_boundary,\n",
    "                              plot_cv_indices,\n",
    "                              plot_learning_curve,\n",
    "                              dict_of_models,\n",
    "                              multi_roc_auc_plot,\n",
    "                              optimize_model,\n",
    "                              plot_confusion_matrix,\n",
    "                              summary_performance_metrics_classification\n",
    "                          )\n",
    "\n",
    "from jmspack.utils import JmsColors\n",
    "from sklearn.model_selection import (\n",
    "    TimeSeriesSplit,\n",
    "    KFold,\n",
    "    ShuffleSplit,\n",
    "    StratifiedKFold,\n",
    "    GroupShuffleSplit,\n",
    "    GroupKFold,\n",
    "    StratifiedShuffleSplit\n",
    ")\n",
    "\n",
    "from sklearn.model_selection import (\n",
    "    GridSearchCV, \n",
    "                                     RepeatedStratifiedKFold, \n",
    "#                                      cross_val_score, \n",
    "                                     cross_validate, \n",
    "#                                      train_test_split, \n",
    "#                                      KFold\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3e18f38",
   "metadata": {},
   "outputs": [],
   "source": [
    "# list of potential sklearn models\n",
    "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.gaussian_process import GaussianProcessClassifier\n",
    "from sklearn.gaussian_process.kernels import RBF\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "45b39173",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "83661c3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from catboost import CatBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cfa582be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div align='center'><img src='data:image/png;base64,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' /></div><script charset='utf-8'>!function(t){function e(r){if(n[r])return n[r].exports;var i=n[r]={i:r,l:!1,exports:{}};return t[r].call(i.exports,i,i.exports,e),i.l=!0,i.exports}var n={};return e.m=t,e.c=n,e.i=function(t){return t},e.d=function(t,n,r){e.o(t,n)||Object.defineProperty(t,n,{configurable:!1,enumerable:!0,get:r})},e.n=function(t){var n=t&&t.__esModule?function(){return t.default}:function(){return t};return e.d(n,\"a\",n),n},e.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},e.p=\"\",e(e.s=410)}([function(t,e,n){\"use strict\";function r(t,e,n,r,o,a,u,c){if(i(e),!t){var s;if(void 0===e)s=new Error(\"Minified exception occurred; use the non-minified dev environment for the full error message and additional helpful warnings.\");else{var l=[n,r,o,a,u,c],f=0;s=new Error(e.replace(/%s/g,function(){return l[f++]})),s.name=\"Invariant Violation\"}throw s.framesToPop=1,s}}var i=function(t){};t.exports=r},function(t,e,n){\"use strict\";var r=n(8),i=r;t.exports=i},function(t,e,n){\"use strict\";function r(t){for(var e=arguments.length-1,n=\"Minified React error #\"+t+\"; visit http://facebook.github.io/react/docs/error-decoder.html?invariant=\"+t,r=0;r<e;r++)n+=\"&args[]=\"+encodeURIComponent(arguments[r+1]);n+=\" for the full message or use the non-minified dev environment for full errors and additional helpful warnings.\";var i=new Error(n);throw i.name=\"Invariant Violation\",i.framesToPop=1,i}t.exports=r},function(t,e,n){\"use strict\";function r(t){if(null===t||void 0===t)throw new TypeError(\"Object.assign cannot be called with null or undefined\");return Object(t)}function i(){try{if(!Object.assign)return!1;var t=new String(\"abc\");if(t[5]=\"de\",\"5\"===Object.getOwnPropertyNames(t)[0])return!1;for(var e={},n=0;n<10;n++)e[\"_\"+String.fromCharCode(n)]=n;var r=Object.getOwnPropertyNames(e).map(function(t){return e[t]});if(\"0123456789\"!==r.join(\"\"))return!1;var i={};return\"abcdefghijklmnopqrst\".split(\"\").forEach(function(t){i[t]=t}),\"abcdefghijklmnopqrst\"===Object.keys(Object.assign({},i)).join(\"\")}catch(t){return!1}}/*\n",
       "object-assign\n",
       "(c) Sindre Sorhus\n",
       "@license MIT\n",
       "*/\n",
       "var o=Object.getOwnPropertySymbols,a=Object.prototype.hasOwnProperty,u=Object.prototype.propertyIsEnumerable;t.exports=i()?Object.assign:function(t,e){for(var n,i,c=r(t),s=1;s<arguments.length;s++){n=Object(arguments[s]);for(var l in n)a.call(n,l)&&(c[l]=n[l]);if(o){i=o(n);for(var f=0;f<i.length;f++)u.call(n,i[f])&&(c[i[f]]=n[i[f]])}}return c}},function(t,e,n){\"use strict\";function r(t,e){return 1===t.nodeType&&t.getAttribute(d)===String(e)||8===t.nodeType&&t.nodeValue===\" react-text: \"+e+\" \"||8===t.nodeType&&t.nodeValue===\" react-empty: \"+e+\" \"}function i(t){for(var e;e=t._renderedComponent;)t=e;return t}function o(t,e){var n=i(t);n._hostNode=e,e[g]=n}function a(t){var e=t._hostNode;e&&(delete e[g],t._hostNode=null)}function u(t,e){if(!(t._flags&v.hasCachedChildNodes)){var n=t._renderedChildren,a=e.firstChild;t:for(var u in n)if(n.hasOwnProperty(u)){var c=n[u],s=i(c)._domID;if(0!==s){for(;null!==a;a=a.nextSibling)if(r(a,s)){o(c,a);continue t}f(\"32\",s)}}t._flags|=v.hasCachedChildNodes}}function c(t){if(t[g])return t[g];for(var e=[];!t[g];){if(e.push(t),!t.parentNode)return null;t=t.parentNode}for(var n,r;t&&(r=t[g]);t=e.pop())n=r,e.length&&u(r,t);return n}function s(t){var e=c(t);return null!=e&&e._hostNode===t?e:null}function l(t){if(void 0===t._hostNode?f(\"33\"):void 0,t._hostNode)return t._hostNode;for(var e=[];!t._hostNode;)e.push(t),t._hostParent?void 0:f(\"34\"),t=t._hostParent;for(;e.length;t=e.pop())u(t,t._hostNode);return t._hostNode}var f=n(2),p=n(21),h=n(157),d=(n(0),p.ID_ATTRIBUTE_NAME),v=h,g=\"__reactInternalInstance$\"+Math.random().toString(36).slice(2),m={getClosestInstanceFromNode:c,getInstanceFromNode:s,getNodeFromInstance:l,precacheChildNodes:u,precacheNode:o,uncacheNode:a};t.exports=m},function(t,e,n){\"use strict\";function r(t,e,n,a){function u(e){return t(e=new Date(+e)),e}return u.floor=u,u.ceil=function(n){return t(n=new Date(n-1)),e(n,1),t(n),n},u.round=function(t){var e=u(t),n=u.ceil(t);return t-e<n-t?e:n},u.offset=function(t,n){return e(t=new Date(+t),null==n?1:Math.floor(n)),t},u.range=function(n,r,i){var o=[];if(n=u.ceil(n),i=null==i?1:Math.floor(i),!(n<r&&i>0))return o;do o.push(new Date(+n));while(e(n,i),t(n),n<r);return o},u.filter=function(n){return r(function(e){if(e>=e)for(;t(e),!n(e);)e.setTime(e-1)},function(t,r){if(t>=t)for(;--r>=0;)for(;e(t,1),!n(t););})},n&&(u.count=function(e,r){return i.setTime(+e),o.setTime(+r),t(i),t(o),Math.floor(n(i,o))},u.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?u.filter(a?function(e){return a(e)%t===0}:function(e){return u.count(0,e)%t===0}):u:null}),u}e.a=r;var i=new Date,o=new Date},function(t,e,n){\"use strict\";var r=!(\"undefined\"==typeof window||!window.document||!window.document.createElement),i={canUseDOM:r,canUseWorkers:\"undefined\"!=typeof Worker,canUseEventListeners:r&&!(!window.addEventListener&&!window.attachEvent),canUseViewport:r&&!!window.screen,isInWorker:!r};t.exports=i},function(t,e,n){\"use strict\";function r(t,e){this._groups=t,this._parents=e}function i(){return new r([[document.documentElement]],D)}var o=n(272),a=n(273),u=n(261),c=n(255),s=n(131),l=n(260),f=n(265),p=n(268),h=n(275),d=n(253),v=n(267),g=n(266),m=n(274),y=n(259),_=n(258),b=n(252),x=n(276),w=n(269),C=n(254),M=n(277),k=n(262),E=n(270),T=n(264),S=n(251),P=n(263),N=n(271),A=n(256),O=n(70),I=n(257);n.d(e,\"c\",function(){return D}),e.b=r;var D=[null];r.prototype=i.prototype={constructor:r,select:o.a,selectAll:a.a,filter:u.a,data:c.a,enter:s.a,exit:l.a,merge:f.a,order:p.a,sort:h.a,call:d.a,nodes:v.a,node:g.a,size:m.a,empty:y.a,each:_.a,attr:b.a,style:x.a,property:w.a,classed:C.a,text:M.a,html:k.a,raise:E.a,lower:T.a,append:S.a,insert:P.a,remove:N.a,datum:A.a,on:O.c,dispatch:I.a},e.a=i},function(t,e,n){\"use strict\";function r(t){return function(){return t}}var i=function(){};i.thatReturns=r,i.thatReturnsFalse=r(!1),i.thatReturnsTrue=r(!0),i.thatReturnsNull=r(null),i.thatReturnsThis=function(){return this},i.thatReturnsArgument=function(t){return t},t.exports=i},function(t,e,n){\"use strict\";var r=null;t.exports={debugTool:r}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(59);n.d(e,\"color\",function(){return r.a}),n.d(e,\"rgb\",function(){return r.b}),n.d(e,\"hsl\",function(){return r.c});var i=n(210);n.d(e,\"lab\",function(){return i.a}),n.d(e,\"hcl\",function(){return i.b});var o=n(209);n.d(e,\"cubehelix\",function(){return o.a})},function(t,e,n){\"use strict\";function r(){T.ReactReconcileTransaction&&x?void 0:l(\"123\")}function i(){this.reinitializeTransaction(),this.dirtyComponentsLength=null,this.callbackQueue=p.getPooled(),this.reconcileTransaction=T.ReactReconcileTransaction.getPooled(!0)}function o(t,e,n,i,o,a){return r(),x.batchedUpdates(t,e,n,i,o,a)}function a(t,e){return t._mountOrder-e._mountOrder}function u(t){var e=t.dirtyComponentsLength;e!==m.length?l(\"124\",e,m.length):void 0,m.sort(a),y++;for(var n=0;n<e;n++){var r=m[n],i=r._pendingCallbacks;r._pendingCallbacks=null;var o;if(d.logTopLevelRenders){var u=r;r._currentElement.type.isReactTopLevelWrapper&&(u=r._renderedComponent),o=\"React update: \"+u.getName(),console.time(o)}if(v.performUpdateIfNecessary(r,t.reconcileTransaction,y),o&&console.timeEnd(o),i)for(var c=0;c<i.length;c++)t.callbackQueue.enqueue(i[c],r.getPublicInstance())}}function c(t){return r(),x.isBatchingUpdates?(m.push(t),void(null==t._updateBatchNumber&&(t._updateBatchNumber=y+1))):void x.batchedUpdates(c,t)}function s(t,e){x.isBatchingUpdates?void 0:l(\"125\"),_.enqueue(t,e),b=!0}var l=n(2),f=n(3),p=n(155),h=n(17),d=n(160),v=n(24),g=n(53),m=(n(0),[]),y=0,_=p.getPooled(),b=!1,x=null,w={initialize:function(){this.dirtyComponentsLength=m.length},close:function(){this.dirtyComponentsLength!==m.length?(m.splice(0,this.dirtyComponentsLength),k()):m.length=0}},C={initialize:function(){this.callbackQueue.reset()},close:function(){this.callbackQueue.notifyAll()}},M=[w,C];f(i.prototype,g,{getTransactionWrappers:function(){return M},destructor:function(){this.dirtyComponentsLength=null,p.release(this.callbackQueue),this.callbackQueue=null,T.ReactReconcileTransaction.release(this.reconcileTransaction),this.reconcileTransaction=null},perform:function(t,e,n){return g.perform.call(this,this.reconcileTransaction.perform,this.reconcileTransaction,t,e,n)}}),h.addPoolingTo(i);var k=function(){for(;m.length||b;){if(m.length){var t=i.getPooled();t.perform(u,null,t),i.release(t)}if(b){b=!1;var e=_;_=p.getPooled(),e.notifyAll(),p.release(e)}}},E={injectReconcileTransaction:function(t){t?void 0:l(\"126\"),T.ReactReconcileTransaction=t},injectBatchingStrategy:function(t){t?void 0:l(\"127\"),\"function\"!=typeof t.batchedUpdates?l(\"128\"):void 0,\"boolean\"!=typeof t.isBatchingUpdates?l(\"129\"):void 0,x=t}},T={ReactReconcileTransaction:null,batchedUpdates:o,enqueueUpdate:c,flushBatchedUpdates:k,injection:E,asap:s};t.exports=T},function(t,e,n){\"use strict\";var r=n(102);n.d(e,\"c\",function(){return r.a});var i=n(18);n.d(e,\"f\",function(){return i.a});var o=n(103);n.d(e,\"d\",function(){return o.a});var a=(n(185),n(104),n(105),n(186),n(197),n(198),n(108),n(188),n(189),n(190),n(191),n(106),n(192),n(193),n(57));n.d(e,\"e\",function(){return a.a});var u=n(107);n.d(e,\"g\",function(){return u.a});var c=(n(194),n(195),n(196),n(109));n.d(e,\"a\",function(){return c.a}),n.d(e,\"b\",function(){return c.b});n(110),n(111),n(199)},function(t,e,n){\"use strict\";n.d(e,\"e\",function(){return r}),n.d(e,\"d\",function(){return i}),n.d(e,\"c\",function(){return o}),n.d(e,\"b\",function(){return a}),n.d(e,\"a\",function(){return u});var r=1e3,i=6e4,o=36e5,a=864e5,u=6048e5},function(t,e,n){\"use strict\";function r(t,e,n,r){this.dispatchConfig=t,this._targetInst=e,this.nativeEvent=n;var i=this.constructor.Interface;for(var o in i)if(i.hasOwnProperty(o)){var u=i[o];u?this[o]=u(n):\"target\"===o?this.target=r:this[o]=n[o]}var c=null!=n.defaultPrevented?n.defaultPrevented:n.returnValue===!1;return c?this.isDefaultPrevented=a.thatReturnsTrue:this.isDefaultPrevented=a.thatReturnsFalse,this.isPropagationStopped=a.thatReturnsFalse,this}var i=n(3),o=n(17),a=n(8),u=(n(1),\"function\"==typeof Proxy,[\"dispatchConfig\",\"_targetInst\",\"nativeEvent\",\"isDefaultPrevented\",\"isPropagationStopped\",\"_dispatchListeners\",\"_dispatchInstances\"]),c={type:null,target:null,currentTarget:a.thatReturnsNull,eventPhase:null,bubbles:null,cancelable:null,timeStamp:function(t){return t.timeStamp||Date.now()},defaultPrevented:null,isTrusted:null};i(r.prototype,{preventDefault:function(){this.defaultPrevented=!0;var t=this.nativeEvent;t&&(t.preventDefault?t.preventDefault():\"unknown\"!=typeof t.returnValue&&(t.returnValue=!1),this.isDefaultPrevented=a.thatReturnsTrue)},stopPropagation:function(){var t=this.nativeEvent;t&&(t.stopPropagation?t.stopPropagation():\"unknown\"!=typeof t.cancelBubble&&(t.cancelBubble=!0),this.isPropagationStopped=a.thatReturnsTrue)},persist:function(){this.isPersistent=a.thatReturnsTrue},isPersistent:a.thatReturnsFalse,destructor:function(){var t=this.constructor.Interface;for(var e in t)this[e]=null;for(var n=0;n<u.length;n++)this[u[n]]=null}}),r.Interface=c,r.augmentClass=function(t,e){var n=this,r=function(){};r.prototype=n.prototype;var a=new r;i(a,t.prototype),t.prototype=a,t.prototype.constructor=t,t.Interface=i({},n.Interface,e),t.augmentClass=n.augmentClass,o.addPoolingTo(t,o.fourArgumentPooler)},o.addPoolingTo(r,o.fourArgumentPooler),t.exports=r},function(t,e,n){\"use strict\";var r={current:null};t.exports=r},function(t,e,n){\"use strict\";n.d(e,\"a\",function(){return i}),n.d(e,\"b\",function(){return o});var r=Array.prototype,i=r.map,o=r.slice},function(t,e,n){\"use strict\";var r=n(2),i=(n(0),function(t){var e=this;if(e.instancePool.length){var n=e.instancePool.pop();return e.call(n,t),n}return new e(t)}),o=function(t,e){var n=this;if(n.instancePool.length){var r=n.instancePool.pop();return n.call(r,t,e),r}return new n(t,e)},a=function(t,e,n){var r=this;if(r.instancePool.length){var i=r.instancePool.pop();return r.call(i,t,e,n),i}return new r(t,e,n)},u=function(t,e,n,r){var i=this;if(i.instancePool.length){var o=i.instancePool.pop();return i.call(o,t,e,n,r),o}return new i(t,e,n,r)},c=function(t){var e=this;t instanceof e?void 0:r(\"25\"),t.destructor(),e.instancePool.length<e.poolSize&&e.instancePool.push(t)},s=10,l=i,f=function(t,e){var n=t;return n.instancePool=[],n.getPooled=e||l,n.poolSize||(n.poolSize=s),n.release=c,n},p={addPoolingTo:f,oneArgumentPooler:i,twoArgumentPooler:o,threeArgumentPooler:a,fourArgumentPooler:u};t.exports=p},function(t,e,n){\"use strict\";e.a=function(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}},function(t,e,n){\"use strict\";e.a=function(t){return function(){return t}}},function(t,e,n){\"use strict\";function r(t){if(g){var e=t.node,n=t.children;if(n.length)for(var r=0;r<n.length;r++)m(e,n[r],null);else null!=t.html?f(e,t.html):null!=t.text&&h(e,t.text)}}function i(t,e){t.parentNode.replaceChild(e.node,t),r(e)}function o(t,e){g?t.children.push(e):t.node.appendChild(e.node)}function a(t,e){g?t.html=e:f(t.node,e)}function u(t,e){g?t.text=e:h(t.node,e)}function c(){return this.node.nodeName}function s(t){return{node:t,children:[],html:null,text:null,toString:c}}var l=n(82),f=n(55),p=n(90),h=n(171),d=1,v=11,g=\"undefined\"!=typeof document&&\"number\"==typeof document.documentMode||\"undefined\"!=typeof navigator&&\"string\"==typeof navigator.userAgent&&/\\bEdge\\/\\d/.test(navigator.userAgent),m=p(function(t,e,n){e.node.nodeType===v||e.node.nodeType===d&&\"object\"===e.node.nodeName.toLowerCase()&&(null==e.node.namespaceURI||e.node.namespaceURI===l.html)?(r(e),t.insertBefore(e.node,n)):(t.insertBefore(e.node,n),r(e))});s.insertTreeBefore=m,s.replaceChildWithTree=i,s.queueChild=o,s.queueHTML=a,s.queueText=u,t.exports=s},function(t,e,n){\"use strict\";function r(t,e){return(t&e)===e}var i=n(2),o=(n(0),{MUST_USE_PROPERTY:1,HAS_BOOLEAN_VALUE:4,HAS_NUMERIC_VALUE:8,HAS_POSITIVE_NUMERIC_VALUE:24,HAS_OVERLOADED_BOOLEAN_VALUE:32,injectDOMPropertyConfig:function(t){var e=o,n=t.Properties||{},a=t.DOMAttributeNamespaces||{},c=t.DOMAttributeNames||{},s=t.DOMPropertyNames||{},l=t.DOMMutationMethods||{};t.isCustomAttribute&&u._isCustomAttributeFunctions.push(t.isCustomAttribute);for(var f in n){u.properties.hasOwnProperty(f)?i(\"48\",f):void 0;var p=f.toLowerCase(),h=n[f],d={attributeName:p,attributeNamespace:null,propertyName:f,mutationMethod:null,mustUseProperty:r(h,e.MUST_USE_PROPERTY),hasBooleanValue:r(h,e.HAS_BOOLEAN_VALUE),hasNumericValue:r(h,e.HAS_NUMERIC_VALUE),hasPositiveNumericValue:r(h,e.HAS_POSITIVE_NUMERIC_VALUE),hasOverloadedBooleanValue:r(h,e.HAS_OVERLOADED_BOOLEAN_VALUE)};if(d.hasBooleanValue+d.hasNumericValue+d.hasOverloadedBooleanValue<=1?void 0:i(\"50\",f),c.hasOwnProperty(f)){var v=c[f];d.attributeName=v}a.hasOwnProperty(f)&&(d.attributeNamespace=a[f]),s.hasOwnProperty(f)&&(d.propertyName=s[f]),l.hasOwnProperty(f)&&(d.mutationMethod=l[f]),u.properties[f]=d}}}),a=\":A-Z_a-z\\\\u00C0-\\\\u00D6\\\\u00D8-\\\\u00F6\\\\u00F8-\\\\u02FF\\\\u0370-\\\\u037D\\\\u037F-\\\\u1FFF\\\\u200C-\\\\u200D\\\\u2070-\\\\u218F\\\\u2C00-\\\\u2FEF\\\\u3001-\\\\uD7FF\\\\uF900-\\\\uFDCF\\\\uFDF0-\\\\uFFFD\",u={ID_ATTRIBUTE_NAME:\"data-reactid\",ROOT_ATTRIBUTE_NAME:\"data-reactroot\",ATTRIBUTE_NAME_START_CHAR:a,ATTRIBUTE_NAME_CHAR:a+\"\\\\-.0-9\\\\u00B7\\\\u0300-\\\\u036F\\\\u203F-\\\\u2040\",properties:{},getPossibleStandardName:null,_isCustomAttributeFunctions:[],isCustomAttribute:function(t){for(var e=0;e<u._isCustomAttributeFunctions.length;e++){var n=u._isCustomAttributeFunctions[e];if(n(t))return!0}return!1},injection:o};t.exports=u},function(t,e,n){\"use strict\";function r(t){return\"button\"===t||\"input\"===t||\"select\"===t||\"textarea\"===t}function i(t,e,n){switch(t){case\"onClick\":case\"onClickCapture\":case\"onDoubleClick\":case\"onDoubleClickCapture\":case\"onMouseDown\":case\"onMouseDownCapture\":case\"onMouseMove\":case\"onMouseMoveCapture\":case\"onMouseUp\":case\"onMouseUpCapture\":return!(!n.disabled||!r(e));default:return!1}}var o=n(2),a=n(83),u=n(50),c=n(87),s=n(165),l=n(166),f=(n(0),{}),p=null,h=function(t,e){t&&(u.executeDispatchesInOrder(t,e),t.isPersistent()||t.constructor.release(t))},d=function(t){return h(t,!0)},v=function(t){return h(t,!1)},g=function(t){return\".\"+t._rootNodeID},m={injection:{injectEventPluginOrder:a.injectEventPluginOrder,injectEventPluginsByName:a.injectEventPluginsByName},putListener:function(t,e,n){\"function\"!=typeof n?o(\"94\",e,typeof n):void 0;var r=g(t),i=f[e]||(f[e]={});i[r]=n;var u=a.registrationNameModules[e];u&&u.didPutListener&&u.didPutListener(t,e,n)},getListener:function(t,e){var n=f[e];if(i(e,t._currentElement.type,t._currentElement.props))return null;var r=g(t);return n&&n[r]},deleteListener:function(t,e){var n=a.registrationNameModules[e];n&&n.willDeleteListener&&n.willDeleteListener(t,e);var r=f[e];if(r){var i=g(t);delete r[i]}},deleteAllListeners:function(t){var e=g(t);for(var n in f)if(f.hasOwnProperty(n)&&f[n][e]){var r=a.registrationNameModules[n];r&&r.willDeleteListener&&r.willDeleteListener(t,n),delete f[n][e]}},extractEvents:function(t,e,n,r){for(var i,o=a.plugins,u=0;u<o.length;u++){var c=o[u];if(c){var l=c.extractEvents(t,e,n,r);l&&(i=s(i,l))}}return i},enqueueEvents:function(t){t&&(p=s(p,t))},processEventQueue:function(t){var e=p;p=null,t?l(e,d):l(e,v),p?o(\"95\"):void 0,c.rethrowCaughtError()},__purge:function(){f={}},__getListenerBank:function(){return f}};t.exports=m},function(t,e,n){\"use strict\";function r(t,e,n){var r=e.dispatchConfig.phasedRegistrationNames[n];return m(t,r)}function i(t,e,n){var i=r(t,n,e);i&&(n._dispatchListeners=v(n._dispatchListeners,i),n._dispatchInstances=v(n._dispatchInstances,t))}function o(t){t&&t.dispatchConfig.phasedRegistrationNames&&d.traverseTwoPhase(t._targetInst,i,t)}function a(t){if(t&&t.dispatchConfig.phasedRegistrationNames){var e=t._targetInst,n=e?d.getParentInstance(e):null;d.traverseTwoPhase(n,i,t)}}function u(t,e,n){if(n&&n.dispatchConfig.registrationName){var r=n.dispatchConfig.registrationName,i=m(t,r);i&&(n._dispatchListeners=v(n._dispatchListeners,i),n._dispatchInstances=v(n._dispatchInstances,t))}}function c(t){t&&t.dispatchConfig.registrationName&&u(t._targetInst,null,t)}function s(t){g(t,o)}function l(t){g(t,a)}function f(t,e,n,r){d.traverseEnterLeave(n,r,u,t,e)}function p(t){g(t,c)}var h=n(22),d=n(50),v=n(165),g=n(166),m=(n(1),h.getListener),y={accumulateTwoPhaseDispatches:s,accumulateTwoPhaseDispatchesSkipTarget:l,accumulateDirectDispatches:p,accumulateEnterLeaveDispatches:f};t.exports=y},function(t,e,n){\"use strict\";function r(){i.attachRefs(this,this._currentElement)}var i=n(368),o=(n(9),n(1),{mountComponent:function(t,e,n,i,o,a){var u=t.mountComponent(e,n,i,o,a);return t._currentElement&&null!=t._currentElement.ref&&e.getReactMountReady().enqueue(r,t),u},getHostNode:function(t){return t.getHostNode()},unmountComponent:function(t,e){i.detachRefs(t,t._currentElement),t.unmountComponent(e)},receiveComponent:function(t,e,n,o){var a=t._currentElement;if(e!==a||o!==t._context){var u=i.shouldUpdateRefs(a,e);u&&i.detachRefs(t,a),t.receiveComponent(e,n,o),u&&t._currentElement&&null!=t._currentElement.ref&&n.getReactMountReady().enqueue(r,t)}},performUpdateIfNecessary:function(t,e,n){t._updateBatchNumber===n&&t.performUpdateIfNecessary(e)}});t.exports=o},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o=n(93),a={view:function(t){if(t.view)return t.view;var e=o(t);if(e.window===e)return e;var n=e.ownerDocument;return n?n.defaultView||n.parentWindow:window},detail:function(t){return t.detail||0}};i.augmentClass(r,a),t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(401),o=n(97),a=n(406),u=n(402),c=n(403),s=n(27),l=n(404),f=n(407),p=n(408),h=(n(1),s.createElement),d=s.createFactory,v=s.cloneElement,g=r,m={Children:{map:i.map,forEach:i.forEach,count:i.count,toArray:i.toArray,only:p},Component:o,PureComponent:a,createElement:h,cloneElement:v,isValidElement:s.isValidElement,PropTypes:l,createClass:u.createClass,createFactory:d,createMixin:function(t){return t},DOM:c,version:f,__spread:g};t.exports=m},function(t,e,n){\"use strict\";function r(t){return void 0!==t.ref}function i(t){return void 0!==t.key}var o=n(3),a=n(15),u=(n(1),n(176),Object.prototype.hasOwnProperty),c=n(174),s={key:!0,ref:!0,__self:!0,__source:!0},l=function(t,e,n,r,i,o,a){var u={$$typeof:c,type:t,key:e,ref:n,props:a,_owner:o};return u};l.createElement=function(t,e,n){var o,c={},f=null,p=null,h=null,d=null;if(null!=e){r(e)&&(p=e.ref),i(e)&&(f=\"\"+e.key),h=void 0===e.__self?null:e.__self,d=void 0===e.__source?null:e.__source;for(o in e)u.call(e,o)&&!s.hasOwnProperty(o)&&(c[o]=e[o])}var v=arguments.length-2;if(1===v)c.children=n;else if(v>1){for(var g=Array(v),m=0;m<v;m++)g[m]=arguments[m+2];c.children=g}if(t&&t.defaultProps){var y=t.defaultProps;for(o in y)void 0===c[o]&&(c[o]=y[o])}return l(t,f,p,h,d,a.current,c)},l.createFactory=function(t){var e=l.createElement.bind(null,t);return e.type=t,e},l.cloneAndReplaceKey=function(t,e){var n=l(t.type,e,t.ref,t._self,t._source,t._owner,t.props);return n},l.cloneElement=function(t,e,n){var c,f=o({},t.props),p=t.key,h=t.ref,d=t._self,v=t._source,g=t._owner;if(null!=e){r(e)&&(h=e.ref,g=a.current),i(e)&&(p=\"\"+e.key);var m;t.type&&t.type.defaultProps&&(m=t.type.defaultProps);for(c in e)u.call(e,c)&&!s.hasOwnProperty(c)&&(void 0===e[c]&&void 0!==m?f[c]=m[c]:f[c]=e[c])}var y=arguments.length-2;if(1===y)f.children=n;else if(y>1){for(var _=Array(y),b=0;b<y;b++)_[b]=arguments[b+2];f.children=_}return l(t.type,p,h,d,v,g,f)},l.isValidElement=function(t){return\"object\"==typeof t&&null!==t&&t.$$typeof===c},t.exports=l},function(t,e,n){\"use strict\";function r(t){for(var e=arguments.length-1,n=\"Minified React error #\"+t+\"; visit http://facebook.github.io/react/docs/error-decoder.html?invariant=\"+t,r=0;r<e;r++)n+=\"&args[]=\"+encodeURIComponent(arguments[r+1]);n+=\" for the full message or use the non-minified dev environment for full errors and additional helpful warnings.\";var i=new Error(n);throw i.name=\"Invariant Violation\",i.framesToPop=1,i}t.exports=r},function(t,e,n){\"use strict\";e.a=function(t){return null===t?NaN:+t}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(211);n.d(e,\"formatDefaultLocale\",function(){return r.a}),n.d(e,\"format\",function(){return r.b}),n.d(e,\"formatPrefix\",function(){return r.c});var i=n(117);n.d(e,\"formatLocale\",function(){return i.a});var o=n(115);n.d(e,\"formatSpecifier\",function(){return o.a});var a=n(215);n.d(e,\"precisionFixed\",function(){return a.a});var u=n(216);n.d(e,\"precisionPrefix\",function(){return u.a});var c=n(217);n.d(e,\"precisionRound\",function(){return c.a})},function(t,e,n){\"use strict\";var r=n(63);n.d(e,\"b\",function(){return r.a});var i=(n(118),n(62),n(119),n(121),n(43));n.d(e,\"a\",function(){return i.a});var o=(n(122),n(223));n.d(e,\"c\",function(){return o.a});var a=(n(124),n(225),n(227),n(123),n(220),n(221),n(219),n(218));n.d(e,\"d\",function(){return a.a});n(222)},function(t,e,n){\"use strict\";function r(t,e){return function(n){return t+n*e}}function i(t,e,n){return t=Math.pow(t,n),e=Math.pow(e,n)-t,n=1/n,function(r){return Math.pow(t+r*e,n)}}function o(t,e){var i=e-t;return i?r(t,i>180||i<-180?i-360*Math.round(i/360):i):n.i(c.a)(isNaN(t)?e:t)}function a(t){return 1===(t=+t)?u:function(e,r){return r-e?i(e,r,t):n.i(c.a)(isNaN(e)?r:e)}}function u(t,e){var i=e-t;return i?r(t,i):n.i(c.a)(isNaN(t)?e:t)}var c=n(120);e.b=o,e.c=a,e.a=u},function(t,e,n){\"use strict\";e.a=function(t){return t.match(/.{6}/g).map(function(t){return\"#\"+t})}},function(t,e,n){\"use strict\";function r(t){var e=t.domain;return t.ticks=function(t){var r=e();return n.i(o.a)(r[0],r[r.length-1],null==t?10:t)},t.tickFormat=function(t,r){return n.i(c.a)(e(),t,r)},t.nice=function(r){var i=e(),a=i.length-1,u=null==r?10:r,c=i[0],s=i[a],l=n.i(o.b)(c,s,u);return l&&(l=n.i(o.b)(Math.floor(c/l)*l,Math.ceil(s/l)*l,u),i[0]=Math.floor(c/l)*l,i[a]=Math.ceil(s/l)*l,e(i)),t},t}function i(){var t=n.i(u.a)(u.b,a.a);return t.copy=function(){return n.i(u.c)(t,i())},r(t)}var o=n(12),a=n(31),u=n(45),c=n(243);e.b=r,e.a=i},function(t,e,n){\"use strict\";n.d(e,\"a\",function(){return r}),n.d(e,\"b\",function(){return i}),n.d(e,\"d\",function(){return o}),n.d(e,\"c\",function(){return a});var r=1e-12,i=Math.PI,o=i/2,a=2*i},function(t,e,n){\"use strict\";e.a=function(t,e){if((r=t.length)>1)for(var n,r,i=1,o=t[e[0]],a=o.length;i<r;++i){n=o,o=t[e[i]];for(var u=0;u<a;++u)o[u][1]+=o[u][0]=isNaN(n[u][1])?n[u][0]:n[u][1]}}},function(t,e,n){\"use strict\";e.a=function(t){for(var e=t.length,n=new Array(e);--e>=0;)n[e]=e;return n}},function(t,e,n){\"use strict\";var r={};t.exports=r},function(t,e,n){(function(t,r){var i;(function(){function o(t,e){return t.set(e[0],e[1]),t}function a(t,e){return t.add(e),t}function u(t,e,n){switch(n.length){case 0:return t.call(e);case 1:return t.call(e,n[0]);case 2:return t.call(e,n[0],n[1]);case 3:return t.call(e,n[0],n[1],n[2])}return t.apply(e,n)}function c(t,e,n,r){for(var i=-1,o=null==t?0:t.length;++i<o;){var a=t[i];e(r,a,n(a),t)}return r}function s(t,e){for(var n=-1,r=null==t?0:t.length;++n<r&&e(t[n],n,t)!==!1;);return t}function l(t,e){for(var n=null==t?0:t.length;n--&&e(t[n],n,t)!==!1;);return t}function f(t,e){for(var n=-1,r=null==t?0:t.length;++n<r;)if(!e(t[n],n,t))return!1;return!0}function p(t,e){for(var n=-1,r=null==t?0:t.length,i=0,o=[];++n<r;){var a=t[n];e(a,n,t)&&(o[i++]=a)}return o}function h(t,e){var n=null==t?0:t.length;return!!n&&M(t,e,0)>-1}function d(t,e,n){for(var r=-1,i=null==t?0:t.length;++r<i;)if(n(e,t[r]))return!0;return!1}function v(t,e){for(var n=-1,r=null==t?0:t.length,i=Array(r);++n<r;)i[n]=e(t[n],n,t);return i}function g(t,e){for(var n=-1,r=e.length,i=t.length;++n<r;)t[i+n]=e[n];return t}function m(t,e,n,r){var i=-1,o=null==t?0:t.length;for(r&&o&&(n=t[++i]);++i<o;)n=e(n,t[i],i,t);return n}function y(t,e,n,r){var i=null==t?0:t.length;for(r&&i&&(n=t[--i]);i--;)n=e(n,t[i],i,t);return n}function _(t,e){for(var n=-1,r=null==t?0:t.length;++n<r;)if(e(t[n],n,t))return!0;return!1}function b(t){return t.split(\"\")}function x(t){return t.match(ze)||[]}function w(t,e,n){var r;return n(t,function(t,n,i){if(e(t,n,i))return r=n,!1}),r}function C(t,e,n,r){for(var i=t.length,o=n+(r?1:-1);r?o--:++o<i;)if(e(t[o],o,t))return o;return-1}function M(t,e,n){return e===e?Z(t,e,n):C(t,E,n)}function k(t,e,n,r){for(var i=n-1,o=t.length;++i<o;)if(r(t[i],e))return i;return-1}function E(t){return t!==t}function T(t,e){var n=null==t?0:t.length;return n?O(t,e)/n:Ut}function S(t){return function(e){return null==e?it:e[t]}}function P(t){return function(e){return null==t?it:t[e]}}function N(t,e,n,r,i){return i(t,function(t,i,o){n=r?(r=!1,t):e(n,t,i,o)}),n}function A(t,e){var n=t.length;for(t.sort(e);n--;)t[n]=t[n].value;return t}function O(t,e){for(var n,r=-1,i=t.length;++r<i;){var o=e(t[r]);o!==it&&(n=n===it?o:n+o)}return n}function I(t,e){for(var n=-1,r=Array(t);++n<t;)r[n]=e(n);return r}function D(t,e){return v(e,function(e){return[e,t[e]]})}function R(t){return function(e){return t(e)}}function L(t,e){return v(e,function(e){return t[e]})}function U(t,e){return t.has(e)}function F(t,e){for(var n=-1,r=t.length;++n<r&&M(e,t[n],0)>-1;);return n}function j(t,e){for(var n=t.length;n--&&M(e,t[n],0)>-1;);return n}function B(t,e){for(var n=t.length,r=0;n--;)t[n]===e&&++r;return r}function W(t){return\"\\\\\"+nr[t]}function V(t,e){return null==t?it:t[e]}function z(t){return Kn.test(t)}function H(t){return Gn.test(t)}function q(t){for(var e,n=[];!(e=t.next()).done;)n.push(e.value);return n}function Y(t){var e=-1,n=Array(t.size);return t.forEach(function(t,r){n[++e]=[r,t]}),n}function K(t,e){return function(n){return t(e(n))}}function G(t,e){for(var n=-1,r=t.length,i=0,o=[];++n<r;){var a=t[n];a!==e&&a!==ft||(t[n]=ft,o[i++]=n)}return o}function $(t){var e=-1,n=Array(t.size);return t.forEach(function(t){n[++e]=t}),n}function X(t){var e=-1,n=Array(t.size);return t.forEach(function(t){n[++e]=[t,t]}),n}function Z(t,e,n){for(var r=n-1,i=t.length;++r<i;)if(t[r]===e)return r;return-1}function Q(t,e,n){for(var r=n+1;r--;)if(t[r]===e)return r;return r}function J(t){return z(t)?et(t):_r(t)}function tt(t){return z(t)?nt(t):b(t)}function et(t){for(var e=qn.lastIndex=0;qn.test(t);)++e;return e}function nt(t){return t.match(qn)||[]}function rt(t){return t.match(Yn)||[]}var it,ot=\"4.17.4\",at=200,ut=\"Unsupported core-js use. Try https://npms.io/search?q=ponyfill.\",ct=\"Expected a function\",st=\"__lodash_hash_undefined__\",lt=500,ft=\"__lodash_placeholder__\",pt=1,ht=2,dt=4,vt=1,gt=2,mt=1,yt=2,_t=4,bt=8,xt=16,wt=32,Ct=64,Mt=128,kt=256,Et=512,Tt=30,St=\"...\",Pt=800,Nt=16,At=1,Ot=2,It=3,Dt=1/0,Rt=9007199254740991,Lt=1.7976931348623157e308,Ut=NaN,Ft=4294967295,jt=Ft-1,Bt=Ft>>>1,Wt=[[\"ary\",Mt],[\"bind\",mt],[\"bindKey\",yt],[\"curry\",bt],[\"curryRight\",xt],[\"flip\",Et],[\"partial\",wt],[\"partialRight\",Ct],[\"rearg\",kt]],Vt=\"[object Arguments]\",zt=\"[object Array]\",Ht=\"[object AsyncFunction]\",qt=\"[object Boolean]\",Yt=\"[object Date]\",Kt=\"[object DOMException]\",Gt=\"[object Error]\",$t=\"[object Function]\",Xt=\"[object GeneratorFunction]\",Zt=\"[object Map]\",Qt=\"[object Number]\",Jt=\"[object Null]\",te=\"[object Object]\",ee=\"[object Promise]\",ne=\"[object Proxy]\",re=\"[object RegExp]\",ie=\"[object Set]\",oe=\"[object String]\",ae=\"[object Symbol]\",ue=\"[object Undefined]\",ce=\"[object WeakMap]\",se=\"[object WeakSet]\",le=\"[object ArrayBuffer]\",fe=\"[object DataView]\",pe=\"[object Float32Array]\",he=\"[object Float64Array]\",de=\"[object Int8Array]\",ve=\"[object Int16Array]\",ge=\"[object Int32Array]\",me=\"[object Uint8Array]\",ye=\"[object Uint8ClampedArray]\",_e=\"[object Uint16Array]\",be=\"[object Uint32Array]\",xe=/\\b__p \\+= '';/g,we=/\\b(__p \\+=) '' \\+/g,Ce=/(__e\\(.*?\\)|\\b__t\\)) \\+\\n'';/g,Me=/&(?:amp|lt|gt|quot|#39);/g,ke=/[&<>\"']/g,Ee=RegExp(Me.source),Te=RegExp(ke.source),Se=/<%-([\\s\\S]+?)%>/g,Pe=/<%([\\s\\S]+?)%>/g,Ne=/<%=([\\s\\S]+?)%>/g,Ae=/\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,Oe=/^\\w*$/,Ie=/^\\./,De=/[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g,Re=/[\\\\^$.*+?()[\\]{}|]/g,Le=RegExp(Re.source),Ue=/^\\s+|\\s+$/g,Fe=/^\\s+/,je=/\\s+$/,Be=/\\{(?:\\n\\/\\* \\[wrapped with .+\\] \\*\\/)?\\n?/,We=/\\{\\n\\/\\* \\[wrapped with (.+)\\] \\*/,Ve=/,? & /,ze=/[^\\x00-\\x2f\\x3a-\\x40\\x5b-\\x60\\x7b-\\x7f]+/g,He=/\\\\(\\\\)?/g,qe=/\\$\\{([^\\\\}]*(?:\\\\.[^\\\\}]*)*)\\}/g,Ye=/\\w*$/,Ke=/^[-+]0x[0-9a-f]+$/i,Ge=/^0b[01]+$/i,$e=/^\\[object .+?Constructor\\]$/,Xe=/^0o[0-7]+$/i,Ze=/^(?:0|[1-9]\\d*)$/,Qe=/[\\xc0-\\xd6\\xd8-\\xf6\\xf8-\\xff\\u0100-\\u017f]/g,Je=/($^)/,tn=/['\\n\\r\\u2028\\u2029\\\\]/g,en=\"\\\\ud800-\\\\udfff\",nn=\"\\\\u0300-\\\\u036f\",rn=\"\\\\ufe20-\\\\ufe2f\",on=\"\\\\u20d0-\\\\u20ff\",an=nn+rn+on,un=\"\\\\u2700-\\\\u27bf\",cn=\"a-z\\\\xdf-\\\\xf6\\\\xf8-\\\\xff\",sn=\"\\\\xac\\\\xb1\\\\xd7\\\\xf7\",ln=\"\\\\x00-\\\\x2f\\\\x3a-\\\\x40\\\\x5b-\\\\x60\\\\x7b-\\\\xbf\",fn=\"\\\\u2000-\\\\u206f\",pn=\" \\\\t\\\\x0b\\\\f\\\\xa0\\\\ufeff\\\\n\\\\r\\\\u2028\\\\u2029\\\\u1680\\\\u180e\\\\u2000\\\\u2001\\\\u2002\\\\u2003\\\\u2004\\\\u2005\\\\u2006\\\\u2007\\\\u2008\\\\u2009\\\\u200a\\\\u202f\\\\u205f\\\\u3000\",hn=\"A-Z\\\\xc0-\\\\xd6\\\\xd8-\\\\xde\",dn=\"\\\\ufe0e\\\\ufe0f\",vn=sn+ln+fn+pn,gn=\"['’]\",mn=\"[\"+en+\"]\",yn=\"[\"+vn+\"]\",_n=\"[\"+an+\"]\",bn=\"\\\\d+\",xn=\"[\"+un+\"]\",wn=\"[\"+cn+\"]\",Cn=\"[^\"+en+vn+bn+un+cn+hn+\"]\",Mn=\"\\\\ud83c[\\\\udffb-\\\\udfff]\",kn=\"(?:\"+_n+\"|\"+Mn+\")\",En=\"[^\"+en+\"]\",Tn=\"(?:\\\\ud83c[\\\\udde6-\\\\uddff]){2}\",Sn=\"[\\\\ud800-\\\\udbff][\\\\udc00-\\\\udfff]\",Pn=\"[\"+hn+\"]\",Nn=\"\\\\u200d\",An=\"(?:\"+wn+\"|\"+Cn+\")\",On=\"(?:\"+Pn+\"|\"+Cn+\")\",In=\"(?:\"+gn+\"(?:d|ll|m|re|s|t|ve))?\",Dn=\"(?:\"+gn+\"(?:D|LL|M|RE|S|T|VE))?\",Rn=kn+\"?\",Ln=\"[\"+dn+\"]?\",Un=\"(?:\"+Nn+\"(?:\"+[En,Tn,Sn].join(\"|\")+\")\"+Ln+Rn+\")*\",Fn=\"\\\\d*(?:(?:1st|2nd|3rd|(?![123])\\\\dth)\\\\b)\",jn=\"\\\\d*(?:(?:1ST|2ND|3RD|(?![123])\\\\dTH)\\\\b)\",Bn=Ln+Rn+Un,Wn=\"(?:\"+[xn,Tn,Sn].join(\"|\")+\")\"+Bn,Vn=\"(?:\"+[En+_n+\"?\",_n,Tn,Sn,mn].join(\"|\")+\")\",zn=RegExp(gn,\"g\"),Hn=RegExp(_n,\"g\"),qn=RegExp(Mn+\"(?=\"+Mn+\")|\"+Vn+Bn,\"g\"),Yn=RegExp([Pn+\"?\"+wn+\"+\"+In+\"(?=\"+[yn,Pn,\"$\"].join(\"|\")+\")\",On+\"+\"+Dn+\"(?=\"+[yn,Pn+An,\"$\"].join(\"|\")+\")\",Pn+\"?\"+An+\"+\"+In,Pn+\"+\"+Dn,jn,Fn,bn,Wn].join(\"|\"),\"g\"),Kn=RegExp(\"[\"+Nn+en+an+dn+\"]\"),Gn=/[a-z][A-Z]|[A-Z]{2,}[a-z]|[0-9][a-zA-Z]|[a-zA-Z][0-9]|[^a-zA-Z0-9 ]/,$n=[\"Array\",\"Buffer\",\"DataView\",\"Date\",\"Error\",\"Float32Array\",\"Float64Array\",\"Function\",\"Int8Array\",\"Int16Array\",\"Int32Array\",\"Map\",\"Math\",\"Object\",\"Promise\",\"RegExp\",\"Set\",\"String\",\"Symbol\",\"TypeError\",\"Uint8Array\",\"Uint8ClampedArray\",\"Uint16Array\",\"Uint32Array\",\"WeakMap\",\"_\",\"clearTimeout\",\"isFinite\",\"parseInt\",\"setTimeout\"],Xn=-1,Zn={};Zn[pe]=Zn[he]=Zn[de]=Zn[ve]=Zn[ge]=Zn[me]=Zn[ye]=Zn[_e]=Zn[be]=!0,Zn[Vt]=Zn[zt]=Zn[le]=Zn[qt]=Zn[fe]=Zn[Yt]=Zn[Gt]=Zn[$t]=Zn[Zt]=Zn[Qt]=Zn[te]=Zn[re]=Zn[ie]=Zn[oe]=Zn[ce]=!1;var Qn={};Qn[Vt]=Qn[zt]=Qn[le]=Qn[fe]=Qn[qt]=Qn[Yt]=Qn[pe]=Qn[he]=Qn[de]=Qn[ve]=Qn[ge]=Qn[Zt]=Qn[Qt]=Qn[te]=Qn[re]=Qn[ie]=Qn[oe]=Qn[ae]=Qn[me]=Qn[ye]=Qn[_e]=Qn[be]=!0,Qn[Gt]=Qn[$t]=Qn[ce]=!1;var Jn={\"À\":\"A\",\"Á\":\"A\",\"Â\":\"A\",\"Ã\":\"A\",\"Ä\":\"A\",\"Å\":\"A\",\"à\":\"a\",\"á\":\"a\",\"â\":\"a\",\"ã\":\"a\",\"ä\":\"a\",\"å\":\"a\",\"Ç\":\"C\",\"ç\":\"c\",\"Ð\":\"D\",\"ð\":\"d\",\"È\":\"E\",\"É\":\"E\",\"Ê\":\"E\",\"Ë\":\"E\",\"è\":\"e\",\"é\":\"e\",\"ê\":\"e\",\"ë\":\"e\",\"Ì\":\"I\",\"Í\":\"I\",\"Î\":\"I\",\"Ï\":\"I\",\"ì\":\"i\",\"í\":\"i\",\"î\":\"i\",\"ï\":\"i\",\"Ñ\":\"N\",\"ñ\":\"n\",\"Ò\":\"O\",\"Ó\":\"O\",\"Ô\":\"O\",\"Õ\":\"O\",\"Ö\":\"O\",\"Ø\":\"O\",\"ò\":\"o\",\"ó\":\"o\",\"ô\":\"o\",\"õ\":\"o\",\"ö\":\"o\",\"ø\":\"o\",\"Ù\":\"U\",\"Ú\":\"U\",\"Û\":\"U\",\"Ü\":\"U\",\"ù\":\"u\",\"ú\":\"u\",\"û\":\"u\",\"ü\":\"u\",\"Ý\":\"Y\",\"ý\":\"y\",\"ÿ\":\"y\",\"Æ\":\"Ae\",\"æ\":\"ae\",\"Þ\":\"Th\",\"þ\":\"th\",\"ß\":\"ss\",\"Ā\":\"A\",\"Ă\":\"A\",\"Ą\":\"A\",\"ā\":\"a\",\"ă\":\"a\",\"ą\":\"a\",\"Ć\":\"C\",\"Ĉ\":\"C\",\"Ċ\":\"C\",\"Č\":\"C\",\"ć\":\"c\",\"ĉ\":\"c\",\"ċ\":\"c\",\"č\":\"c\",\"Ď\":\"D\",\"Đ\":\"D\",\"ď\":\"d\",\"đ\":\"d\",\"Ē\":\"E\",\"Ĕ\":\"E\",\"Ė\":\"E\",\"Ę\":\"E\",\"Ě\":\"E\",\"ē\":\"e\",\"ĕ\":\"e\",\"ė\":\"e\",\"ę\":\"e\",\"ě\":\"e\",\"Ĝ\":\"G\",\"Ğ\":\"G\",\"Ġ\":\"G\",\"Ģ\":\"G\",\"ĝ\":\"g\",\"ğ\":\"g\",\"ġ\":\"g\",\"ģ\":\"g\",\"Ĥ\":\"H\",\"Ħ\":\"H\",\"ĥ\":\"h\",\"ħ\":\"h\",\"Ĩ\":\"I\",\"Ī\":\"I\",\"Ĭ\":\"I\",\"Į\":\"I\",\"İ\":\"I\",\"ĩ\":\"i\",\"ī\":\"i\",\"ĭ\":\"i\",\"į\":\"i\",\"ı\":\"i\",\"Ĵ\":\"J\",\"ĵ\":\"j\",\"Ķ\":\"K\",\"ķ\":\"k\",\"ĸ\":\"k\",\"Ĺ\":\"L\",\"Ļ\":\"L\",\"Ľ\":\"L\",\"Ŀ\":\"L\",\"Ł\":\"L\",\"ĺ\":\"l\",\"ļ\":\"l\",\"ľ\":\"l\",\"ŀ\":\"l\",\"ł\":\"l\",\"Ń\":\"N\",\"Ņ\":\"N\",\"Ň\":\"N\",\"Ŋ\":\"N\",\"ń\":\"n\",\"ņ\":\"n\",\"ň\":\"n\",\"ŋ\":\"n\",\"Ō\":\"O\",\"Ŏ\":\"O\",\"Ő\":\"O\",\"ō\":\"o\",\"ŏ\":\"o\",\"ő\":\"o\",\"Ŕ\":\"R\",\"Ŗ\":\"R\",\"Ř\":\"R\",\"ŕ\":\"r\",\"ŗ\":\"r\",\"ř\":\"r\",\"Ś\":\"S\",\"Ŝ\":\"S\",\"Ş\":\"S\",\"Š\":\"S\",\"ś\":\"s\",\"ŝ\":\"s\",\"ş\":\"s\",\"š\":\"s\",\"Ţ\":\"T\",\"Ť\":\"T\",\"Ŧ\":\"T\",\"ţ\":\"t\",\"ť\":\"t\",\"ŧ\":\"t\",\"Ũ\":\"U\",\"Ū\":\"U\",\"Ŭ\":\"U\",\"Ů\":\"U\",\"Ű\":\"U\",\"Ų\":\"U\",\"ũ\":\"u\",\"ū\":\"u\",\"ŭ\":\"u\",\"ů\":\"u\",\"ű\":\"u\",\"ų\":\"u\",\"Ŵ\":\"W\",\"ŵ\":\"w\",\"Ŷ\":\"Y\",\"ŷ\":\"y\",\"Ÿ\":\"Y\",\"Ź\":\"Z\",\"Ż\":\"Z\",\"Ž\":\"Z\",\"ź\":\"z\",\"ż\":\"z\",\"ž\":\"z\",\"IJ\":\"IJ\",\n",
       "\"ij\":\"ij\",\"Œ\":\"Oe\",\"œ\":\"oe\",\"ʼn\":\"'n\",\"ſ\":\"s\"},tr={\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#39;\"},er={\"&amp;\":\"&\",\"&lt;\":\"<\",\"&gt;\":\">\",\"&quot;\":'\"',\"&#39;\":\"'\"},nr={\"\\\\\":\"\\\\\",\"'\":\"'\",\"\\n\":\"n\",\"\\r\":\"r\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},rr=parseFloat,ir=parseInt,or=\"object\"==typeof t&&t&&t.Object===Object&&t,ar=\"object\"==typeof self&&self&&self.Object===Object&&self,ur=or||ar||Function(\"return this\")(),cr=\"object\"==typeof e&&e&&!e.nodeType&&e,sr=cr&&\"object\"==typeof r&&r&&!r.nodeType&&r,lr=sr&&sr.exports===cr,fr=lr&&or.process,pr=function(){try{return fr&&fr.binding&&fr.binding(\"util\")}catch(t){}}(),hr=pr&&pr.isArrayBuffer,dr=pr&&pr.isDate,vr=pr&&pr.isMap,gr=pr&&pr.isRegExp,mr=pr&&pr.isSet,yr=pr&&pr.isTypedArray,_r=S(\"length\"),br=P(Jn),xr=P(tr),wr=P(er),Cr=function t(e){function n(t){if(sc(t)&&!xp(t)&&!(t instanceof b)){if(t instanceof i)return t;if(bl.call(t,\"__wrapped__\"))return aa(t)}return new i(t)}function r(){}function i(t,e){this.__wrapped__=t,this.__actions__=[],this.__chain__=!!e,this.__index__=0,this.__values__=it}function b(t){this.__wrapped__=t,this.__actions__=[],this.__dir__=1,this.__filtered__=!1,this.__iteratees__=[],this.__takeCount__=Ft,this.__views__=[]}function P(){var t=new b(this.__wrapped__);return t.__actions__=Bi(this.__actions__),t.__dir__=this.__dir__,t.__filtered__=this.__filtered__,t.__iteratees__=Bi(this.__iteratees__),t.__takeCount__=this.__takeCount__,t.__views__=Bi(this.__views__),t}function Z(){if(this.__filtered__){var t=new b(this);t.__dir__=-1,t.__filtered__=!0}else t=this.clone(),t.__dir__*=-1;return t}function et(){var t=this.__wrapped__.value(),e=this.__dir__,n=xp(t),r=e<0,i=n?t.length:0,o=No(0,i,this.__views__),a=o.start,u=o.end,c=u-a,s=r?u:a-1,l=this.__iteratees__,f=l.length,p=0,h=Xl(c,this.__takeCount__);if(!n||!r&&i==c&&h==c)return xi(t,this.__actions__);var d=[];t:for(;c--&&p<h;){s+=e;for(var v=-1,g=t[s];++v<f;){var m=l[v],y=m.iteratee,_=m.type,b=y(g);if(_==Ot)g=b;else if(!b){if(_==At)continue t;break t}}d[p++]=g}return d}function nt(t){var e=-1,n=null==t?0:t.length;for(this.clear();++e<n;){var r=t[e];this.set(r[0],r[1])}}function ze(){this.__data__=uf?uf(null):{},this.size=0}function en(t){var e=this.has(t)&&delete this.__data__[t];return this.size-=e?1:0,e}function nn(t){var e=this.__data__;if(uf){var n=e[t];return n===st?it:n}return bl.call(e,t)?e[t]:it}function rn(t){var e=this.__data__;return uf?e[t]!==it:bl.call(e,t)}function on(t,e){var n=this.__data__;return this.size+=this.has(t)?0:1,n[t]=uf&&e===it?st:e,this}function an(t){var e=-1,n=null==t?0:t.length;for(this.clear();++e<n;){var r=t[e];this.set(r[0],r[1])}}function un(){this.__data__=[],this.size=0}function cn(t){var e=this.__data__,n=In(e,t);if(n<0)return!1;var r=e.length-1;return n==r?e.pop():Dl.call(e,n,1),--this.size,!0}function sn(t){var e=this.__data__,n=In(e,t);return n<0?it:e[n][1]}function ln(t){return In(this.__data__,t)>-1}function fn(t,e){var n=this.__data__,r=In(n,t);return r<0?(++this.size,n.push([t,e])):n[r][1]=e,this}function pn(t){var e=-1,n=null==t?0:t.length;for(this.clear();++e<n;){var r=t[e];this.set(r[0],r[1])}}function hn(){this.size=0,this.__data__={hash:new nt,map:new(nf||an),string:new nt}}function dn(t){var e=Eo(this,t).delete(t);return this.size-=e?1:0,e}function vn(t){return Eo(this,t).get(t)}function gn(t){return Eo(this,t).has(t)}function mn(t,e){var n=Eo(this,t),r=n.size;return n.set(t,e),this.size+=n.size==r?0:1,this}function yn(t){var e=-1,n=null==t?0:t.length;for(this.__data__=new pn;++e<n;)this.add(t[e])}function _n(t){return this.__data__.set(t,st),this}function bn(t){return this.__data__.has(t)}function xn(t){var e=this.__data__=new an(t);this.size=e.size}function wn(){this.__data__=new an,this.size=0}function Cn(t){var e=this.__data__,n=e.delete(t);return this.size=e.size,n}function Mn(t){return this.__data__.get(t)}function kn(t){return this.__data__.has(t)}function En(t,e){var n=this.__data__;if(n instanceof an){var r=n.__data__;if(!nf||r.length<at-1)return r.push([t,e]),this.size=++n.size,this;n=this.__data__=new pn(r)}return n.set(t,e),this.size=n.size,this}function Tn(t,e){var n=xp(t),r=!n&&bp(t),i=!n&&!r&&Cp(t),o=!n&&!r&&!i&&Sp(t),a=n||r||i||o,u=a?I(t.length,hl):[],c=u.length;for(var s in t)!e&&!bl.call(t,s)||a&&(\"length\"==s||i&&(\"offset\"==s||\"parent\"==s)||o&&(\"buffer\"==s||\"byteLength\"==s||\"byteOffset\"==s)||Fo(s,c))||u.push(s);return u}function Sn(t){var e=t.length;return e?t[ni(0,e-1)]:it}function Pn(t,e){return na(Bi(t),jn(e,0,t.length))}function Nn(t){return na(Bi(t))}function An(t,e,n){(n===it||$u(t[e],n))&&(n!==it||e in t)||Un(t,e,n)}function On(t,e,n){var r=t[e];bl.call(t,e)&&$u(r,n)&&(n!==it||e in t)||Un(t,e,n)}function In(t,e){for(var n=t.length;n--;)if($u(t[n][0],e))return n;return-1}function Dn(t,e,n,r){return _f(t,function(t,i,o){e(r,t,n(t),o)}),r}function Rn(t,e){return t&&Wi(e,Hc(e),t)}function Ln(t,e){return t&&Wi(e,qc(e),t)}function Un(t,e,n){\"__proto__\"==e&&Fl?Fl(t,e,{configurable:!0,enumerable:!0,value:n,writable:!0}):t[e]=n}function Fn(t,e){for(var n=-1,r=e.length,i=al(r),o=null==t;++n<r;)i[n]=o?it:Wc(t,e[n]);return i}function jn(t,e,n){return t===t&&(n!==it&&(t=t<=n?t:n),e!==it&&(t=t>=e?t:e)),t}function Bn(t,e,n,r,i,o){var a,u=e&pt,c=e&ht,l=e&dt;if(n&&(a=i?n(t,r,i,o):n(t)),a!==it)return a;if(!cc(t))return t;var f=xp(t);if(f){if(a=Io(t),!u)return Bi(t,a)}else{var p=Af(t),h=p==$t||p==Xt;if(Cp(t))return Si(t,u);if(p==te||p==Vt||h&&!i){if(a=c||h?{}:Do(t),!u)return c?zi(t,Ln(a,t)):Vi(t,Rn(a,t))}else{if(!Qn[p])return i?t:{};a=Ro(t,p,Bn,u)}}o||(o=new xn);var d=o.get(t);if(d)return d;o.set(t,a);var v=l?c?wo:xo:c?qc:Hc,g=f?it:v(t);return s(g||t,function(r,i){g&&(i=r,r=t[i]),On(a,i,Bn(r,e,n,i,t,o))}),a}function Wn(t){var e=Hc(t);return function(n){return Vn(n,t,e)}}function Vn(t,e,n){var r=n.length;if(null==t)return!r;for(t=fl(t);r--;){var i=n[r],o=e[i],a=t[i];if(a===it&&!(i in t)||!o(a))return!1}return!0}function qn(t,e,n){if(\"function\"!=typeof t)throw new dl(ct);return Df(function(){t.apply(it,n)},e)}function Yn(t,e,n,r){var i=-1,o=h,a=!0,u=t.length,c=[],s=e.length;if(!u)return c;n&&(e=v(e,R(n))),r?(o=d,a=!1):e.length>=at&&(o=U,a=!1,e=new yn(e));t:for(;++i<u;){var l=t[i],f=null==n?l:n(l);if(l=r||0!==l?l:0,a&&f===f){for(var p=s;p--;)if(e[p]===f)continue t;c.push(l)}else o(e,f,r)||c.push(l)}return c}function Kn(t,e){var n=!0;return _f(t,function(t,r,i){return n=!!e(t,r,i)}),n}function Gn(t,e,n){for(var r=-1,i=t.length;++r<i;){var o=t[r],a=e(o);if(null!=a&&(u===it?a===a&&!bc(a):n(a,u)))var u=a,c=o}return c}function Jn(t,e,n,r){var i=t.length;for(n=Ec(n),n<0&&(n=-n>i?0:i+n),r=r===it||r>i?i:Ec(r),r<0&&(r+=i),r=n>r?0:Tc(r);n<r;)t[n++]=e;return t}function tr(t,e){var n=[];return _f(t,function(t,r,i){e(t,r,i)&&n.push(t)}),n}function er(t,e,n,r,i){var o=-1,a=t.length;for(n||(n=Uo),i||(i=[]);++o<a;){var u=t[o];e>0&&n(u)?e>1?er(u,e-1,n,r,i):g(i,u):r||(i[i.length]=u)}return i}function nr(t,e){return t&&xf(t,e,Hc)}function or(t,e){return t&&wf(t,e,Hc)}function ar(t,e){return p(e,function(e){return oc(t[e])})}function cr(t,e){e=Ei(e,t);for(var n=0,r=e.length;null!=t&&n<r;)t=t[ra(e[n++])];return n&&n==r?t:it}function sr(t,e,n){var r=e(t);return xp(t)?r:g(r,n(t))}function fr(t){return null==t?t===it?ue:Jt:Ul&&Ul in fl(t)?Po(t):Xo(t)}function pr(t,e){return t>e}function _r(t,e){return null!=t&&bl.call(t,e)}function Cr(t,e){return null!=t&&e in fl(t)}function kr(t,e,n){return t>=Xl(e,n)&&t<$l(e,n)}function Er(t,e,n){for(var r=n?d:h,i=t[0].length,o=t.length,a=o,u=al(o),c=1/0,s=[];a--;){var l=t[a];a&&e&&(l=v(l,R(e))),c=Xl(l.length,c),u[a]=!n&&(e||i>=120&&l.length>=120)?new yn(a&&l):it}l=t[0];var f=-1,p=u[0];t:for(;++f<i&&s.length<c;){var g=l[f],m=e?e(g):g;if(g=n||0!==g?g:0,!(p?U(p,m):r(s,m,n))){for(a=o;--a;){var y=u[a];if(!(y?U(y,m):r(t[a],m,n)))continue t}p&&p.push(m),s.push(g)}}return s}function Tr(t,e,n,r){return nr(t,function(t,i,o){e(r,n(t),i,o)}),r}function Sr(t,e,n){e=Ei(e,t),t=Qo(t,e);var r=null==t?t:t[ra(ka(e))];return null==r?it:u(r,t,n)}function Pr(t){return sc(t)&&fr(t)==Vt}function Nr(t){return sc(t)&&fr(t)==le}function Ar(t){return sc(t)&&fr(t)==Yt}function Or(t,e,n,r,i){return t===e||(null==t||null==e||!sc(t)&&!sc(e)?t!==t&&e!==e:Ir(t,e,n,r,Or,i))}function Ir(t,e,n,r,i,o){var a=xp(t),u=xp(e),c=a?zt:Af(t),s=u?zt:Af(e);c=c==Vt?te:c,s=s==Vt?te:s;var l=c==te,f=s==te,p=c==s;if(p&&Cp(t)){if(!Cp(e))return!1;a=!0,l=!1}if(p&&!l)return o||(o=new xn),a||Sp(t)?mo(t,e,n,r,i,o):yo(t,e,c,n,r,i,o);if(!(n&vt)){var h=l&&bl.call(t,\"__wrapped__\"),d=f&&bl.call(e,\"__wrapped__\");if(h||d){var v=h?t.value():t,g=d?e.value():e;return o||(o=new xn),i(v,g,n,r,o)}}return!!p&&(o||(o=new xn),_o(t,e,n,r,i,o))}function Dr(t){return sc(t)&&Af(t)==Zt}function Rr(t,e,n,r){var i=n.length,o=i,a=!r;if(null==t)return!o;for(t=fl(t);i--;){var u=n[i];if(a&&u[2]?u[1]!==t[u[0]]:!(u[0]in t))return!1}for(;++i<o;){u=n[i];var c=u[0],s=t[c],l=u[1];if(a&&u[2]){if(s===it&&!(c in t))return!1}else{var f=new xn;if(r)var p=r(s,l,c,t,e,f);if(!(p===it?Or(l,s,vt|gt,r,f):p))return!1}}return!0}function Lr(t){if(!cc(t)||zo(t))return!1;var e=oc(t)?El:$e;return e.test(ia(t))}function Ur(t){return sc(t)&&fr(t)==re}function Fr(t){return sc(t)&&Af(t)==ie}function jr(t){return sc(t)&&uc(t.length)&&!!Zn[fr(t)]}function Br(t){return\"function\"==typeof t?t:null==t?Ds:\"object\"==typeof t?xp(t)?Yr(t[0],t[1]):qr(t):Vs(t)}function Wr(t){if(!Ho(t))return Gl(t);var e=[];for(var n in fl(t))bl.call(t,n)&&\"constructor\"!=n&&e.push(n);return e}function Vr(t){if(!cc(t))return $o(t);var e=Ho(t),n=[];for(var r in t)(\"constructor\"!=r||!e&&bl.call(t,r))&&n.push(r);return n}function zr(t,e){return t<e}function Hr(t,e){var n=-1,r=Xu(t)?al(t.length):[];return _f(t,function(t,i,o){r[++n]=e(t,i,o)}),r}function qr(t){var e=To(t);return 1==e.length&&e[0][2]?Yo(e[0][0],e[0][1]):function(n){return n===t||Rr(n,t,e)}}function Yr(t,e){return Bo(t)&&qo(e)?Yo(ra(t),e):function(n){var r=Wc(n,t);return r===it&&r===e?zc(n,t):Or(e,r,vt|gt)}}function Kr(t,e,n,r,i){t!==e&&xf(e,function(o,a){if(cc(o))i||(i=new xn),Gr(t,e,a,n,Kr,r,i);else{var u=r?r(t[a],o,a+\"\",t,e,i):it;u===it&&(u=o),An(t,a,u)}},qc)}function Gr(t,e,n,r,i,o,a){var u=t[n],c=e[n],s=a.get(c);if(s)return void An(t,n,s);var l=o?o(u,c,n+\"\",t,e,a):it,f=l===it;if(f){var p=xp(c),h=!p&&Cp(c),d=!p&&!h&&Sp(c);l=c,p||h||d?xp(u)?l=u:Zu(u)?l=Bi(u):h?(f=!1,l=Si(c,!0)):d?(f=!1,l=Ri(c,!0)):l=[]:mc(c)||bp(c)?(l=u,bp(u)?l=Pc(u):(!cc(u)||r&&oc(u))&&(l=Do(c))):f=!1}f&&(a.set(c,l),i(l,c,r,o,a),a.delete(c)),An(t,n,l)}function $r(t,e){var n=t.length;if(n)return e+=e<0?n:0,Fo(e,n)?t[e]:it}function Xr(t,e,n){var r=-1;e=v(e.length?e:[Ds],R(ko()));var i=Hr(t,function(t,n,i){var o=v(e,function(e){return e(t)});return{criteria:o,index:++r,value:t}});return A(i,function(t,e){return Ui(t,e,n)})}function Zr(t,e){return Qr(t,e,function(e,n){return zc(t,n)})}function Qr(t,e,n){for(var r=-1,i=e.length,o={};++r<i;){var a=e[r],u=cr(t,a);n(u,a)&&ci(o,Ei(a,t),u)}return o}function Jr(t){return function(e){return cr(e,t)}}function ti(t,e,n,r){var i=r?k:M,o=-1,a=e.length,u=t;for(t===e&&(e=Bi(e)),n&&(u=v(t,R(n)));++o<a;)for(var c=0,s=e[o],l=n?n(s):s;(c=i(u,l,c,r))>-1;)u!==t&&Dl.call(u,c,1),Dl.call(t,c,1);return t}function ei(t,e){for(var n=t?e.length:0,r=n-1;n--;){var i=e[n];if(n==r||i!==o){var o=i;Fo(i)?Dl.call(t,i,1):yi(t,i)}}return t}function ni(t,e){return t+zl(Jl()*(e-t+1))}function ri(t,e,n,r){for(var i=-1,o=$l(Vl((e-t)/(n||1)),0),a=al(o);o--;)a[r?o:++i]=t,t+=n;return a}function ii(t,e){var n=\"\";if(!t||e<1||e>Rt)return n;do e%2&&(n+=t),e=zl(e/2),e&&(t+=t);while(e);return n}function oi(t,e){return Rf(Zo(t,e,Ds),t+\"\")}function ai(t){return Sn(rs(t))}function ui(t,e){var n=rs(t);return na(n,jn(e,0,n.length))}function ci(t,e,n,r){if(!cc(t))return t;e=Ei(e,t);for(var i=-1,o=e.length,a=o-1,u=t;null!=u&&++i<o;){var c=ra(e[i]),s=n;if(i!=a){var l=u[c];s=r?r(l,c,u):it,s===it&&(s=cc(l)?l:Fo(e[i+1])?[]:{})}On(u,c,s),u=u[c]}return t}function si(t){return na(rs(t))}function li(t,e,n){var r=-1,i=t.length;e<0&&(e=-e>i?0:i+e),n=n>i?i:n,n<0&&(n+=i),i=e>n?0:n-e>>>0,e>>>=0;for(var o=al(i);++r<i;)o[r]=t[r+e];return o}function fi(t,e){var n;return _f(t,function(t,r,i){return n=e(t,r,i),!n}),!!n}function pi(t,e,n){var r=0,i=null==t?r:t.length;if(\"number\"==typeof e&&e===e&&i<=Bt){for(;r<i;){var o=r+i>>>1,a=t[o];null!==a&&!bc(a)&&(n?a<=e:a<e)?r=o+1:i=o}return i}return hi(t,e,Ds,n)}function hi(t,e,n,r){e=n(e);for(var i=0,o=null==t?0:t.length,a=e!==e,u=null===e,c=bc(e),s=e===it;i<o;){var l=zl((i+o)/2),f=n(t[l]),p=f!==it,h=null===f,d=f===f,v=bc(f);if(a)var g=r||d;else g=s?d&&(r||p):u?d&&p&&(r||!h):c?d&&p&&!h&&(r||!v):!h&&!v&&(r?f<=e:f<e);g?i=l+1:o=l}return Xl(o,jt)}function di(t,e){for(var n=-1,r=t.length,i=0,o=[];++n<r;){var a=t[n],u=e?e(a):a;if(!n||!$u(u,c)){var c=u;o[i++]=0===a?0:a}}return o}function vi(t){return\"number\"==typeof t?t:bc(t)?Ut:+t}function gi(t){if(\"string\"==typeof t)return t;if(xp(t))return v(t,gi)+\"\";if(bc(t))return mf?mf.call(t):\"\";var e=t+\"\";return\"0\"==e&&1/t==-Dt?\"-0\":e}function mi(t,e,n){var r=-1,i=h,o=t.length,a=!0,u=[],c=u;if(n)a=!1,i=d;else if(o>=at){var s=e?null:Tf(t);if(s)return $(s);a=!1,i=U,c=new yn}else c=e?[]:u;t:for(;++r<o;){var l=t[r],f=e?e(l):l;if(l=n||0!==l?l:0,a&&f===f){for(var p=c.length;p--;)if(c[p]===f)continue t;e&&c.push(f),u.push(l)}else i(c,f,n)||(c!==u&&c.push(f),u.push(l))}return u}function yi(t,e){return e=Ei(e,t),t=Qo(t,e),null==t||delete t[ra(ka(e))]}function _i(t,e,n,r){return ci(t,e,n(cr(t,e)),r)}function bi(t,e,n,r){for(var i=t.length,o=r?i:-1;(r?o--:++o<i)&&e(t[o],o,t););return n?li(t,r?0:o,r?o+1:i):li(t,r?o+1:0,r?i:o)}function xi(t,e){var n=t;return n instanceof b&&(n=n.value()),m(e,function(t,e){return e.func.apply(e.thisArg,g([t],e.args))},n)}function wi(t,e,n){var r=t.length;if(r<2)return r?mi(t[0]):[];for(var i=-1,o=al(r);++i<r;)for(var a=t[i],u=-1;++u<r;)u!=i&&(o[i]=Yn(o[i]||a,t[u],e,n));return mi(er(o,1),e,n)}function Ci(t,e,n){for(var r=-1,i=t.length,o=e.length,a={};++r<i;){var u=r<o?e[r]:it;n(a,t[r],u)}return a}function Mi(t){return Zu(t)?t:[]}function ki(t){return\"function\"==typeof t?t:Ds}function Ei(t,e){return xp(t)?t:Bo(t,e)?[t]:Lf(Ac(t))}function Ti(t,e,n){var r=t.length;return n=n===it?r:n,!e&&n>=r?t:li(t,e,n)}function Si(t,e){if(e)return t.slice();var n=t.length,r=Nl?Nl(n):new t.constructor(n);return t.copy(r),r}function Pi(t){var e=new t.constructor(t.byteLength);return new Pl(e).set(new Pl(t)),e}function Ni(t,e){var n=e?Pi(t.buffer):t.buffer;return new t.constructor(n,t.byteOffset,t.byteLength)}function Ai(t,e,n){var r=e?n(Y(t),pt):Y(t);return m(r,o,new t.constructor)}function Oi(t){var e=new t.constructor(t.source,Ye.exec(t));return e.lastIndex=t.lastIndex,e}function Ii(t,e,n){var r=e?n($(t),pt):$(t);return m(r,a,new t.constructor)}function Di(t){return gf?fl(gf.call(t)):{}}function Ri(t,e){var n=e?Pi(t.buffer):t.buffer;return new t.constructor(n,t.byteOffset,t.length)}function Li(t,e){if(t!==e){var n=t!==it,r=null===t,i=t===t,o=bc(t),a=e!==it,u=null===e,c=e===e,s=bc(e);if(!u&&!s&&!o&&t>e||o&&a&&c&&!u&&!s||r&&a&&c||!n&&c||!i)return 1;if(!r&&!o&&!s&&t<e||s&&n&&i&&!r&&!o||u&&n&&i||!a&&i||!c)return-1}return 0}function Ui(t,e,n){for(var r=-1,i=t.criteria,o=e.criteria,a=i.length,u=n.length;++r<a;){var c=Li(i[r],o[r]);if(c){if(r>=u)return c;var s=n[r];return c*(\"desc\"==s?-1:1)}}return t.index-e.index}function Fi(t,e,n,r){for(var i=-1,o=t.length,a=n.length,u=-1,c=e.length,s=$l(o-a,0),l=al(c+s),f=!r;++u<c;)l[u]=e[u];for(;++i<a;)(f||i<o)&&(l[n[i]]=t[i]);for(;s--;)l[u++]=t[i++];return l}function ji(t,e,n,r){for(var i=-1,o=t.length,a=-1,u=n.length,c=-1,s=e.length,l=$l(o-u,0),f=al(l+s),p=!r;++i<l;)f[i]=t[i];for(var h=i;++c<s;)f[h+c]=e[c];for(;++a<u;)(p||i<o)&&(f[h+n[a]]=t[i++]);return f}function Bi(t,e){var n=-1,r=t.length;for(e||(e=al(r));++n<r;)e[n]=t[n];return e}function Wi(t,e,n,r){var i=!n;n||(n={});for(var o=-1,a=e.length;++o<a;){var u=e[o],c=r?r(n[u],t[u],u,n,t):it;c===it&&(c=t[u]),i?Un(n,u,c):On(n,u,c)}return n}function Vi(t,e){return Wi(t,Pf(t),e)}function zi(t,e){return Wi(t,Nf(t),e)}function Hi(t,e){return function(n,r){var i=xp(n)?c:Dn,o=e?e():{};return i(n,t,ko(r,2),o)}}function qi(t){return oi(function(e,n){var r=-1,i=n.length,o=i>1?n[i-1]:it,a=i>2?n[2]:it;for(o=t.length>3&&\"function\"==typeof o?(i--,o):it,a&&jo(n[0],n[1],a)&&(o=i<3?it:o,i=1),e=fl(e);++r<i;){var u=n[r];u&&t(e,u,r,o)}return e})}function Yi(t,e){return function(n,r){if(null==n)return n;if(!Xu(n))return t(n,r);for(var i=n.length,o=e?i:-1,a=fl(n);(e?o--:++o<i)&&r(a[o],o,a)!==!1;);return n}}function Ki(t){return function(e,n,r){for(var i=-1,o=fl(e),a=r(e),u=a.length;u--;){var c=a[t?u:++i];if(n(o[c],c,o)===!1)break}return e}}function Gi(t,e,n){function r(){var e=this&&this!==ur&&this instanceof r?o:t;return e.apply(i?n:this,arguments)}var i=e&mt,o=Zi(t);return r}function $i(t){return function(e){e=Ac(e);var n=z(e)?tt(e):it,r=n?n[0]:e.charAt(0),i=n?Ti(n,1).join(\"\"):e.slice(1);return r[t]()+i}}function Xi(t){return function(e){return m(Ps(ss(e).replace(zn,\"\")),t,\"\")}}function Zi(t){return function(){var e=arguments;switch(e.length){case 0:return new t;case 1:return new t(e[0]);case 2:return new t(e[0],e[1]);case 3:return new t(e[0],e[1],e[2]);case 4:return new t(e[0],e[1],e[2],e[3]);case 5:return new t(e[0],e[1],e[2],e[3],e[4]);case 6:return new t(e[0],e[1],e[2],e[3],e[4],e[5]);case 7:return new t(e[0],e[1],e[2],e[3],e[4],e[5],e[6])}var n=yf(t.prototype),r=t.apply(n,e);return cc(r)?r:n}}function Qi(t,e,n){function r(){for(var o=arguments.length,a=al(o),c=o,s=Mo(r);c--;)a[c]=arguments[c];var l=o<3&&a[0]!==s&&a[o-1]!==s?[]:G(a,s);if(o-=l.length,o<n)return so(t,e,eo,r.placeholder,it,a,l,it,it,n-o);var f=this&&this!==ur&&this instanceof r?i:t;return u(f,this,a)}var i=Zi(t);return r}function Ji(t){return function(e,n,r){var i=fl(e);if(!Xu(e)){var o=ko(n,3);e=Hc(e),n=function(t){return o(i[t],t,i)}}var a=t(e,n,r);return a>-1?i[o?e[a]:a]:it}}function to(t){return bo(function(e){var n=e.length,r=n,o=i.prototype.thru;for(t&&e.reverse();r--;){var a=e[r];if(\"function\"!=typeof a)throw new dl(ct);if(o&&!u&&\"wrapper\"==Co(a))var u=new i([],!0)}for(r=u?r:n;++r<n;){a=e[r];var c=Co(a),s=\"wrapper\"==c?Sf(a):it;u=s&&Vo(s[0])&&s[1]==(Mt|bt|wt|kt)&&!s[4].length&&1==s[9]?u[Co(s[0])].apply(u,s[3]):1==a.length&&Vo(a)?u[c]():u.thru(a)}return function(){var t=arguments,r=t[0];if(u&&1==t.length&&xp(r))return u.plant(r).value();for(var i=0,o=n?e[i].apply(this,t):r;++i<n;)o=e[i].call(this,o);return o}})}function eo(t,e,n,r,i,o,a,u,c,s){function l(){for(var m=arguments.length,y=al(m),_=m;_--;)y[_]=arguments[_];if(d)var b=Mo(l),x=B(y,b);if(r&&(y=Fi(y,r,i,d)),o&&(y=ji(y,o,a,d)),m-=x,d&&m<s){var w=G(y,b);return so(t,e,eo,l.placeholder,n,y,w,u,c,s-m)}var C=p?n:this,M=h?C[t]:t;return m=y.length,u?y=Jo(y,u):v&&m>1&&y.reverse(),f&&c<m&&(y.length=c),this&&this!==ur&&this instanceof l&&(M=g||Zi(M)),M.apply(C,y)}var f=e&Mt,p=e&mt,h=e&yt,d=e&(bt|xt),v=e&Et,g=h?it:Zi(t);return l}function no(t,e){return function(n,r){return Tr(n,t,e(r),{})}}function ro(t,e){return function(n,r){var i;if(n===it&&r===it)return e;if(n!==it&&(i=n),r!==it){if(i===it)return r;\"string\"==typeof n||\"string\"==typeof r?(n=gi(n),r=gi(r)):(n=vi(n),r=vi(r)),i=t(n,r)}return i}}function io(t){return bo(function(e){return e=v(e,R(ko())),oi(function(n){var r=this;return t(e,function(t){return u(t,r,n)})})})}function oo(t,e){e=e===it?\" \":gi(e);var n=e.length;if(n<2)return n?ii(e,t):e;var r=ii(e,Vl(t/J(e)));return z(e)?Ti(tt(r),0,t).join(\"\"):r.slice(0,t)}function ao(t,e,n,r){function i(){for(var e=-1,c=arguments.length,s=-1,l=r.length,f=al(l+c),p=this&&this!==ur&&this instanceof i?a:t;++s<l;)f[s]=r[s];for(;c--;)f[s++]=arguments[++e];return u(p,o?n:this,f)}var o=e&mt,a=Zi(t);return i}function uo(t){return function(e,n,r){return r&&\"number\"!=typeof r&&jo(e,n,r)&&(n=r=it),e=kc(e),n===it?(n=e,e=0):n=kc(n),r=r===it?e<n?1:-1:kc(r),ri(e,n,r,t)}}function co(t){return function(e,n){return\"string\"==typeof e&&\"string\"==typeof n||(e=Sc(e),n=Sc(n)),t(e,n)}}function so(t,e,n,r,i,o,a,u,c,s){var l=e&bt,f=l?a:it,p=l?it:a,h=l?o:it,d=l?it:o;e|=l?wt:Ct,e&=~(l?Ct:wt),e&_t||(e&=~(mt|yt));var v=[t,e,i,h,f,d,p,u,c,s],g=n.apply(it,v);return Vo(t)&&If(g,v),g.placeholder=r,ta(g,t,e)}function lo(t){var e=ll[t];return function(t,n){if(t=Sc(t),n=null==n?0:Xl(Ec(n),292)){var r=(Ac(t)+\"e\").split(\"e\"),i=e(r[0]+\"e\"+(+r[1]+n));return r=(Ac(i)+\"e\").split(\"e\"),+(r[0]+\"e\"+(+r[1]-n))}return e(t)}}function fo(t){return function(e){var n=Af(e);return n==Zt?Y(e):n==ie?X(e):D(e,t(e))}}function po(t,e,n,r,i,o,a,u){var c=e&yt;if(!c&&\"function\"!=typeof t)throw new dl(ct);var s=r?r.length:0;if(s||(e&=~(wt|Ct),r=i=it),a=a===it?a:$l(Ec(a),0),u=u===it?u:Ec(u),s-=i?i.length:0,e&Ct){var l=r,f=i;r=i=it}var p=c?it:Sf(t),h=[t,e,n,r,i,l,f,o,a,u];if(p&&Go(h,p),t=h[0],e=h[1],n=h[2],r=h[3],i=h[4],u=h[9]=h[9]===it?c?0:t.length:$l(h[9]-s,0),!u&&e&(bt|xt)&&(e&=~(bt|xt)),e&&e!=mt)d=e==bt||e==xt?Qi(t,e,u):e!=wt&&e!=(mt|wt)||i.length?eo.apply(it,h):ao(t,e,n,r);else var d=Gi(t,e,n);var v=p?Cf:If;return ta(v(d,h),t,e)}function ho(t,e,n,r){return t===it||$u(t,ml[n])&&!bl.call(r,n)?e:t}function vo(t,e,n,r,i,o){return cc(t)&&cc(e)&&(o.set(e,t),Kr(t,e,it,vo,o),o.delete(e)),t}function go(t){return mc(t)?it:t}function mo(t,e,n,r,i,o){var a=n&vt,u=t.length,c=e.length;if(u!=c&&!(a&&c>u))return!1;var s=o.get(t);if(s&&o.get(e))return s==e;var l=-1,f=!0,p=n&gt?new yn:it;for(o.set(t,e),o.set(e,t);++l<u;){var h=t[l],d=e[l];if(r)var v=a?r(d,h,l,e,t,o):r(h,d,l,t,e,o);if(v!==it){if(v)continue;f=!1;break}if(p){if(!_(e,function(t,e){if(!U(p,e)&&(h===t||i(h,t,n,r,o)))return p.push(e)})){f=!1;break}}else if(h!==d&&!i(h,d,n,r,o)){f=!1;break}}return o.delete(t),o.delete(e),f}function yo(t,e,n,r,i,o,a){switch(n){case fe:if(t.byteLength!=e.byteLength||t.byteOffset!=e.byteOffset)return!1;t=t.buffer,e=e.buffer;case le:return!(t.byteLength!=e.byteLength||!o(new Pl(t),new Pl(e)));case qt:case Yt:case Qt:return $u(+t,+e);case Gt:return t.name==e.name&&t.message==e.message;case re:case oe:return t==e+\"\";case Zt:var u=Y;case ie:var c=r&vt;if(u||(u=$),t.size!=e.size&&!c)return!1;var s=a.get(t);if(s)return s==e;r|=gt,a.set(t,e);var l=mo(u(t),u(e),r,i,o,a);return a.delete(t),l;case ae:if(gf)return gf.call(t)==gf.call(e)}return!1}function _o(t,e,n,r,i,o){var a=n&vt,u=xo(t),c=u.length,s=xo(e),l=s.length;if(c!=l&&!a)return!1;for(var f=c;f--;){var p=u[f];if(!(a?p in e:bl.call(e,p)))return!1}var h=o.get(t);if(h&&o.get(e))return h==e;var d=!0;o.set(t,e),o.set(e,t);for(var v=a;++f<c;){p=u[f];var g=t[p],m=e[p];if(r)var y=a?r(m,g,p,e,t,o):r(g,m,p,t,e,o);if(!(y===it?g===m||i(g,m,n,r,o):y)){d=!1;break}v||(v=\"constructor\"==p)}if(d&&!v){var _=t.constructor,b=e.constructor;_!=b&&\"constructor\"in t&&\"constructor\"in e&&!(\"function\"==typeof _&&_ instanceof _&&\"function\"==typeof b&&b instanceof b)&&(d=!1)}return o.delete(t),o.delete(e),d}function bo(t){return Rf(Zo(t,it,ma),t+\"\")}function xo(t){return sr(t,Hc,Pf)}function wo(t){return sr(t,qc,Nf)}function Co(t){for(var e=t.name+\"\",n=sf[e],r=bl.call(sf,e)?n.length:0;r--;){var i=n[r],o=i.func;if(null==o||o==t)return i.name}return e}function Mo(t){var e=bl.call(n,\"placeholder\")?n:t;return e.placeholder}function ko(){var t=n.iteratee||Rs;return t=t===Rs?Br:t,arguments.length?t(arguments[0],arguments[1]):t}function Eo(t,e){var n=t.__data__;return Wo(e)?n[\"string\"==typeof e?\"string\":\"hash\"]:n.map}function To(t){for(var e=Hc(t),n=e.length;n--;){var r=e[n],i=t[r];e[n]=[r,i,qo(i)]}return e}function So(t,e){var n=V(t,e);return Lr(n)?n:it}function Po(t){var e=bl.call(t,Ul),n=t[Ul];try{t[Ul]=it;var r=!0}catch(t){}var i=Cl.call(t);return r&&(e?t[Ul]=n:delete t[Ul]),i}function No(t,e,n){for(var r=-1,i=n.length;++r<i;){var o=n[r],a=o.size;switch(o.type){case\"drop\":t+=a;break;case\"dropRight\":e-=a;break;case\"take\":e=Xl(e,t+a);break;case\"takeRight\":t=$l(t,e-a)}}return{start:t,end:e}}function Ao(t){var e=t.match(We);return e?e[1].split(Ve):[]}function Oo(t,e,n){e=Ei(e,t);for(var r=-1,i=e.length,o=!1;++r<i;){var a=ra(e[r]);if(!(o=null!=t&&n(t,a)))break;t=t[a]}return o||++r!=i?o:(i=null==t?0:t.length,!!i&&uc(i)&&Fo(a,i)&&(xp(t)||bp(t)))}function Io(t){var e=t.length,n=t.constructor(e);return e&&\"string\"==typeof t[0]&&bl.call(t,\"index\")&&(n.index=t.index,n.input=t.input),n}function Do(t){return\"function\"!=typeof t.constructor||Ho(t)?{}:yf(Al(t))}function Ro(t,e,n,r){var i=t.constructor;switch(e){case le:return Pi(t);case qt:case Yt:return new i(+t);case fe:return Ni(t,r);case pe:case he:case de:case ve:case ge:case me:case ye:case _e:case be:return Ri(t,r);case Zt:return Ai(t,r,n);case Qt:case oe:return new i(t);case re:return Oi(t);case ie:return Ii(t,r,n);case ae:return Di(t)}}function Lo(t,e){var n=e.length;if(!n)return t;var r=n-1;return e[r]=(n>1?\"& \":\"\")+e[r],e=e.join(n>2?\", \":\" \"),t.replace(Be,\"{\\n/* [wrapped with \"+e+\"] */\\n\")}function Uo(t){return xp(t)||bp(t)||!!(Rl&&t&&t[Rl])}function Fo(t,e){return e=null==e?Rt:e,!!e&&(\"number\"==typeof t||Ze.test(t))&&t>-1&&t%1==0&&t<e}function jo(t,e,n){if(!cc(n))return!1;var r=typeof e;return!!(\"number\"==r?Xu(n)&&Fo(e,n.length):\"string\"==r&&e in n)&&$u(n[e],t)}function Bo(t,e){if(xp(t))return!1;var n=typeof t;return!(\"number\"!=n&&\"symbol\"!=n&&\"boolean\"!=n&&null!=t&&!bc(t))||(Oe.test(t)||!Ae.test(t)||null!=e&&t in fl(e))}function Wo(t){var e=typeof t;return\"string\"==e||\"number\"==e||\"symbol\"==e||\"boolean\"==e?\"__proto__\"!==t:null===t}function Vo(t){var e=Co(t),r=n[e];if(\"function\"!=typeof r||!(e in b.prototype))return!1;if(t===r)return!0;var i=Sf(r);return!!i&&t===i[0]}function zo(t){return!!wl&&wl in t}function Ho(t){var e=t&&t.constructor,n=\"function\"==typeof e&&e.prototype||ml;return t===n}function qo(t){return t===t&&!cc(t)}function Yo(t,e){return function(n){return null!=n&&(n[t]===e&&(e!==it||t in fl(n)))}}function Ko(t){var e=Ru(t,function(t){return n.size===lt&&n.clear(),t}),n=e.cache;return e}function Go(t,e){var n=t[1],r=e[1],i=n|r,o=i<(mt|yt|Mt),a=r==Mt&&n==bt||r==Mt&&n==kt&&t[7].length<=e[8]||r==(Mt|kt)&&e[7].length<=e[8]&&n==bt;if(!o&&!a)return t;r&mt&&(t[2]=e[2],i|=n&mt?0:_t);var u=e[3];if(u){var c=t[3];t[3]=c?Fi(c,u,e[4]):u,t[4]=c?G(t[3],ft):e[4]}return u=e[5],u&&(c=t[5],t[5]=c?ji(c,u,e[6]):u,t[6]=c?G(t[5],ft):e[6]),u=e[7],u&&(t[7]=u),r&Mt&&(t[8]=null==t[8]?e[8]:Xl(t[8],e[8])),null==t[9]&&(t[9]=e[9]),t[0]=e[0],t[1]=i,t}function $o(t){var e=[];if(null!=t)for(var n in fl(t))e.push(n);return e}function Xo(t){return Cl.call(t)}function Zo(t,e,n){return e=$l(e===it?t.length-1:e,0),function(){for(var r=arguments,i=-1,o=$l(r.length-e,0),a=al(o);++i<o;)a[i]=r[e+i];i=-1;for(var c=al(e+1);++i<e;)c[i]=r[i];return c[e]=n(a),u(t,this,c)}}function Qo(t,e){return e.length<2?t:cr(t,li(e,0,-1))}function Jo(t,e){for(var n=t.length,r=Xl(e.length,n),i=Bi(t);r--;){var o=e[r];t[r]=Fo(o,n)?i[o]:it}return t}function ta(t,e,n){var r=e+\"\";return Rf(t,Lo(r,oa(Ao(r),n)))}function ea(t){var e=0,n=0;return function(){var r=Zl(),i=Nt-(r-n);if(n=r,i>0){if(++e>=Pt)return arguments[0]}else e=0;return t.apply(it,arguments)}}function na(t,e){var n=-1,r=t.length,i=r-1;for(e=e===it?r:e;++n<e;){var o=ni(n,i),a=t[o];t[o]=t[n],t[n]=a}return t.length=e,t}function ra(t){if(\"string\"==typeof t||bc(t))return t;var e=t+\"\";return\"0\"==e&&1/t==-Dt?\"-0\":e}function ia(t){if(null!=t){try{return _l.call(t)}catch(t){}try{return t+\"\"}catch(t){}}return\"\"}function oa(t,e){return s(Wt,function(n){var r=\"_.\"+n[0];e&n[1]&&!h(t,r)&&t.push(r)}),t.sort()}function aa(t){if(t instanceof b)return t.clone();var e=new i(t.__wrapped__,t.__chain__);return e.__actions__=Bi(t.__actions__),e.__index__=t.__index__,e.__values__=t.__values__,e}function ua(t,e,n){e=(n?jo(t,e,n):e===it)?1:$l(Ec(e),0);var r=null==t?0:t.length;if(!r||e<1)return[];for(var i=0,o=0,a=al(Vl(r/e));i<r;)a[o++]=li(t,i,i+=e);return a}function ca(t){for(var e=-1,n=null==t?0:t.length,r=0,i=[];++e<n;){var o=t[e];o&&(i[r++]=o)}return i}function sa(){var t=arguments.length;if(!t)return[];for(var e=al(t-1),n=arguments[0],r=t;r--;)e[r-1]=arguments[r];return g(xp(n)?Bi(n):[n],er(e,1))}function la(t,e,n){var r=null==t?0:t.length;return r?(e=n||e===it?1:Ec(e),li(t,e<0?0:e,r)):[]}function fa(t,e,n){var r=null==t?0:t.length;return r?(e=n||e===it?1:Ec(e),e=r-e,li(t,0,e<0?0:e)):[]}function pa(t,e){return t&&t.length?bi(t,ko(e,3),!0,!0):[]}function ha(t,e){return t&&t.length?bi(t,ko(e,3),!0):[]}function da(t,e,n,r){var i=null==t?0:t.length;return i?(n&&\"number\"!=typeof n&&jo(t,e,n)&&(n=0,r=i),Jn(t,e,n,r)):[]}function va(t,e,n){var r=null==t?0:t.length;if(!r)return-1;var i=null==n?0:Ec(n);return i<0&&(i=$l(r+i,0)),C(t,ko(e,3),i)}function ga(t,e,n){var r=null==t?0:t.length;if(!r)return-1;var i=r-1;return n!==it&&(i=Ec(n),i=n<0?$l(r+i,0):Xl(i,r-1)),C(t,ko(e,3),i,!0)}function ma(t){var e=null==t?0:t.length;return e?er(t,1):[]}function ya(t){var e=null==t?0:t.length;return e?er(t,Dt):[]}function _a(t,e){var n=null==t?0:t.length;return n?(e=e===it?1:Ec(e),er(t,e)):[]}function ba(t){for(var e=-1,n=null==t?0:t.length,r={};++e<n;){var i=t[e];r[i[0]]=i[1]}return r}function xa(t){return t&&t.length?t[0]:it}function wa(t,e,n){var r=null==t?0:t.length;if(!r)return-1;var i=null==n?0:Ec(n);return i<0&&(i=$l(r+i,0)),M(t,e,i)}function Ca(t){var e=null==t?0:t.length;return e?li(t,0,-1):[]}function Ma(t,e){return null==t?\"\":Kl.call(t,e)}function ka(t){var e=null==t?0:t.length;return e?t[e-1]:it}function Ea(t,e,n){var r=null==t?0:t.length;if(!r)return-1;var i=r;return n!==it&&(i=Ec(n),i=i<0?$l(r+i,0):Xl(i,r-1)),e===e?Q(t,e,i):C(t,E,i,!0)}function Ta(t,e){return t&&t.length?$r(t,Ec(e)):it}function Sa(t,e){return t&&t.length&&e&&e.length?ti(t,e):t}function Pa(t,e,n){return t&&t.length&&e&&e.length?ti(t,e,ko(n,2)):t}function Na(t,e,n){return t&&t.length&&e&&e.length?ti(t,e,it,n):t}function Aa(t,e){var n=[];if(!t||!t.length)return n;var r=-1,i=[],o=t.length;for(e=ko(e,3);++r<o;){var a=t[r];e(a,r,t)&&(n.push(a),i.push(r))}return ei(t,i),n}function Oa(t){return null==t?t:tf.call(t)}function Ia(t,e,n){var r=null==t?0:t.length;return r?(n&&\"number\"!=typeof n&&jo(t,e,n)?(e=0,n=r):(e=null==e?0:Ec(e),n=n===it?r:Ec(n)),li(t,e,n)):[]}function Da(t,e){return pi(t,e)}function Ra(t,e,n){return hi(t,e,ko(n,2))}function La(t,e){var n=null==t?0:t.length;if(n){var r=pi(t,e);if(r<n&&$u(t[r],e))return r}return-1}function Ua(t,e){return pi(t,e,!0)}function Fa(t,e,n){return hi(t,e,ko(n,2),!0)}function ja(t,e){var n=null==t?0:t.length;if(n){var r=pi(t,e,!0)-1;if($u(t[r],e))return r}return-1}function Ba(t){return t&&t.length?di(t):[]}function Wa(t,e){return t&&t.length?di(t,ko(e,2)):[]}function Va(t){var e=null==t?0:t.length;return e?li(t,1,e):[]}function za(t,e,n){return t&&t.length?(e=n||e===it?1:Ec(e),li(t,0,e<0?0:e)):[]}function Ha(t,e,n){var r=null==t?0:t.length;return r?(e=n||e===it?1:Ec(e),e=r-e,li(t,e<0?0:e,r)):[]}function qa(t,e){return t&&t.length?bi(t,ko(e,3),!1,!0):[]}function Ya(t,e){return t&&t.length?bi(t,ko(e,3)):[]}function Ka(t){return t&&t.length?mi(t):[]}function Ga(t,e){return t&&t.length?mi(t,ko(e,2)):[]}function $a(t,e){return e=\"function\"==typeof e?e:it,t&&t.length?mi(t,it,e):[]}function Xa(t){if(!t||!t.length)return[];var e=0;return t=p(t,function(t){if(Zu(t))return e=$l(t.length,e),!0}),I(e,function(e){return v(t,S(e))})}function Za(t,e){if(!t||!t.length)return[];var n=Xa(t);return null==e?n:v(n,function(t){return u(e,it,t)})}function Qa(t,e){return Ci(t||[],e||[],On)}function Ja(t,e){return Ci(t||[],e||[],ci)}function tu(t){var e=n(t);return e.__chain__=!0,e}function eu(t,e){return e(t),t}function nu(t,e){return e(t)}function ru(){return tu(this)}function iu(){return new i(this.value(),this.__chain__)}function ou(){this.__values__===it&&(this.__values__=Mc(this.value()));var t=this.__index__>=this.__values__.length,e=t?it:this.__values__[this.__index__++];return{done:t,value:e}}function au(){return this}function uu(t){for(var e,n=this;n instanceof r;){var i=aa(n);i.__index__=0,i.__values__=it,e?o.__wrapped__=i:e=i;var o=i;n=n.__wrapped__}return o.__wrapped__=t,e}function cu(){var t=this.__wrapped__;if(t instanceof b){var e=t;return this.__actions__.length&&(e=new b(this)),e=e.reverse(),e.__actions__.push({func:nu,args:[Oa],thisArg:it}),new i(e,this.__chain__)}return this.thru(Oa)}function su(){return xi(this.__wrapped__,this.__actions__)}function lu(t,e,n){\n",
       "var r=xp(t)?f:Kn;return n&&jo(t,e,n)&&(e=it),r(t,ko(e,3))}function fu(t,e){var n=xp(t)?p:tr;return n(t,ko(e,3))}function pu(t,e){return er(yu(t,e),1)}function hu(t,e){return er(yu(t,e),Dt)}function du(t,e,n){return n=n===it?1:Ec(n),er(yu(t,e),n)}function vu(t,e){var n=xp(t)?s:_f;return n(t,ko(e,3))}function gu(t,e){var n=xp(t)?l:bf;return n(t,ko(e,3))}function mu(t,e,n,r){t=Xu(t)?t:rs(t),n=n&&!r?Ec(n):0;var i=t.length;return n<0&&(n=$l(i+n,0)),_c(t)?n<=i&&t.indexOf(e,n)>-1:!!i&&M(t,e,n)>-1}function yu(t,e){var n=xp(t)?v:Hr;return n(t,ko(e,3))}function _u(t,e,n,r){return null==t?[]:(xp(e)||(e=null==e?[]:[e]),n=r?it:n,xp(n)||(n=null==n?[]:[n]),Xr(t,e,n))}function bu(t,e,n){var r=xp(t)?m:N,i=arguments.length<3;return r(t,ko(e,4),n,i,_f)}function xu(t,e,n){var r=xp(t)?y:N,i=arguments.length<3;return r(t,ko(e,4),n,i,bf)}function wu(t,e){var n=xp(t)?p:tr;return n(t,Lu(ko(e,3)))}function Cu(t){var e=xp(t)?Sn:ai;return e(t)}function Mu(t,e,n){e=(n?jo(t,e,n):e===it)?1:Ec(e);var r=xp(t)?Pn:ui;return r(t,e)}function ku(t){var e=xp(t)?Nn:si;return e(t)}function Eu(t){if(null==t)return 0;if(Xu(t))return _c(t)?J(t):t.length;var e=Af(t);return e==Zt||e==ie?t.size:Wr(t).length}function Tu(t,e,n){var r=xp(t)?_:fi;return n&&jo(t,e,n)&&(e=it),r(t,ko(e,3))}function Su(t,e){if(\"function\"!=typeof e)throw new dl(ct);return t=Ec(t),function(){if(--t<1)return e.apply(this,arguments)}}function Pu(t,e,n){return e=n?it:e,e=t&&null==e?t.length:e,po(t,Mt,it,it,it,it,e)}function Nu(t,e){var n;if(\"function\"!=typeof e)throw new dl(ct);return t=Ec(t),function(){return--t>0&&(n=e.apply(this,arguments)),t<=1&&(e=it),n}}function Au(t,e,n){e=n?it:e;var r=po(t,bt,it,it,it,it,it,e);return r.placeholder=Au.placeholder,r}function Ou(t,e,n){e=n?it:e;var r=po(t,xt,it,it,it,it,it,e);return r.placeholder=Ou.placeholder,r}function Iu(t,e,n){function r(e){var n=p,r=h;return p=h=it,y=e,v=t.apply(r,n)}function i(t){return y=t,g=Df(u,e),_?r(t):v}function o(t){var n=t-m,r=t-y,i=e-n;return b?Xl(i,d-r):i}function a(t){var n=t-m,r=t-y;return m===it||n>=e||n<0||b&&r>=d}function u(){var t=sp();return a(t)?c(t):void(g=Df(u,o(t)))}function c(t){return g=it,x&&p?r(t):(p=h=it,v)}function s(){g!==it&&Ef(g),y=0,p=m=h=g=it}function l(){return g===it?v:c(sp())}function f(){var t=sp(),n=a(t);if(p=arguments,h=this,m=t,n){if(g===it)return i(m);if(b)return g=Df(u,e),r(m)}return g===it&&(g=Df(u,e)),v}var p,h,d,v,g,m,y=0,_=!1,b=!1,x=!0;if(\"function\"!=typeof t)throw new dl(ct);return e=Sc(e)||0,cc(n)&&(_=!!n.leading,b=\"maxWait\"in n,d=b?$l(Sc(n.maxWait)||0,e):d,x=\"trailing\"in n?!!n.trailing:x),f.cancel=s,f.flush=l,f}function Du(t){return po(t,Et)}function Ru(t,e){if(\"function\"!=typeof t||null!=e&&\"function\"!=typeof e)throw new dl(ct);var n=function(){var r=arguments,i=e?e.apply(this,r):r[0],o=n.cache;if(o.has(i))return o.get(i);var a=t.apply(this,r);return n.cache=o.set(i,a)||o,a};return n.cache=new(Ru.Cache||pn),n}function Lu(t){if(\"function\"!=typeof t)throw new dl(ct);return function(){var e=arguments;switch(e.length){case 0:return!t.call(this);case 1:return!t.call(this,e[0]);case 2:return!t.call(this,e[0],e[1]);case 3:return!t.call(this,e[0],e[1],e[2])}return!t.apply(this,e)}}function Uu(t){return Nu(2,t)}function Fu(t,e){if(\"function\"!=typeof t)throw new dl(ct);return e=e===it?e:Ec(e),oi(t,e)}function ju(t,e){if(\"function\"!=typeof t)throw new dl(ct);return e=null==e?0:$l(Ec(e),0),oi(function(n){var r=n[e],i=Ti(n,0,e);return r&&g(i,r),u(t,this,i)})}function Bu(t,e,n){var r=!0,i=!0;if(\"function\"!=typeof t)throw new dl(ct);return cc(n)&&(r=\"leading\"in n?!!n.leading:r,i=\"trailing\"in n?!!n.trailing:i),Iu(t,e,{leading:r,maxWait:e,trailing:i})}function Wu(t){return Pu(t,1)}function Vu(t,e){return vp(ki(e),t)}function zu(){if(!arguments.length)return[];var t=arguments[0];return xp(t)?t:[t]}function Hu(t){return Bn(t,dt)}function qu(t,e){return e=\"function\"==typeof e?e:it,Bn(t,dt,e)}function Yu(t){return Bn(t,pt|dt)}function Ku(t,e){return e=\"function\"==typeof e?e:it,Bn(t,pt|dt,e)}function Gu(t,e){return null==e||Vn(t,e,Hc(e))}function $u(t,e){return t===e||t!==t&&e!==e}function Xu(t){return null!=t&&uc(t.length)&&!oc(t)}function Zu(t){return sc(t)&&Xu(t)}function Qu(t){return t===!0||t===!1||sc(t)&&fr(t)==qt}function Ju(t){return sc(t)&&1===t.nodeType&&!mc(t)}function tc(t){if(null==t)return!0;if(Xu(t)&&(xp(t)||\"string\"==typeof t||\"function\"==typeof t.splice||Cp(t)||Sp(t)||bp(t)))return!t.length;var e=Af(t);if(e==Zt||e==ie)return!t.size;if(Ho(t))return!Wr(t).length;for(var n in t)if(bl.call(t,n))return!1;return!0}function ec(t,e){return Or(t,e)}function nc(t,e,n){n=\"function\"==typeof n?n:it;var r=n?n(t,e):it;return r===it?Or(t,e,it,n):!!r}function rc(t){if(!sc(t))return!1;var e=fr(t);return e==Gt||e==Kt||\"string\"==typeof t.message&&\"string\"==typeof t.name&&!mc(t)}function ic(t){return\"number\"==typeof t&&Yl(t)}function oc(t){if(!cc(t))return!1;var e=fr(t);return e==$t||e==Xt||e==Ht||e==ne}function ac(t){return\"number\"==typeof t&&t==Ec(t)}function uc(t){return\"number\"==typeof t&&t>-1&&t%1==0&&t<=Rt}function cc(t){var e=typeof t;return null!=t&&(\"object\"==e||\"function\"==e)}function sc(t){return null!=t&&\"object\"==typeof t}function lc(t,e){return t===e||Rr(t,e,To(e))}function fc(t,e,n){return n=\"function\"==typeof n?n:it,Rr(t,e,To(e),n)}function pc(t){return gc(t)&&t!=+t}function hc(t){if(Of(t))throw new cl(ut);return Lr(t)}function dc(t){return null===t}function vc(t){return null==t}function gc(t){return\"number\"==typeof t||sc(t)&&fr(t)==Qt}function mc(t){if(!sc(t)||fr(t)!=te)return!1;var e=Al(t);if(null===e)return!0;var n=bl.call(e,\"constructor\")&&e.constructor;return\"function\"==typeof n&&n instanceof n&&_l.call(n)==Ml}function yc(t){return ac(t)&&t>=-Rt&&t<=Rt}function _c(t){return\"string\"==typeof t||!xp(t)&&sc(t)&&fr(t)==oe}function bc(t){return\"symbol\"==typeof t||sc(t)&&fr(t)==ae}function xc(t){return t===it}function wc(t){return sc(t)&&Af(t)==ce}function Cc(t){return sc(t)&&fr(t)==se}function Mc(t){if(!t)return[];if(Xu(t))return _c(t)?tt(t):Bi(t);if(Ll&&t[Ll])return q(t[Ll]());var e=Af(t),n=e==Zt?Y:e==ie?$:rs;return n(t)}function kc(t){if(!t)return 0===t?t:0;if(t=Sc(t),t===Dt||t===-Dt){var e=t<0?-1:1;return e*Lt}return t===t?t:0}function Ec(t){var e=kc(t),n=e%1;return e===e?n?e-n:e:0}function Tc(t){return t?jn(Ec(t),0,Ft):0}function Sc(t){if(\"number\"==typeof t)return t;if(bc(t))return Ut;if(cc(t)){var e=\"function\"==typeof t.valueOf?t.valueOf():t;t=cc(e)?e+\"\":e}if(\"string\"!=typeof t)return 0===t?t:+t;t=t.replace(Ue,\"\");var n=Ge.test(t);return n||Xe.test(t)?ir(t.slice(2),n?2:8):Ke.test(t)?Ut:+t}function Pc(t){return Wi(t,qc(t))}function Nc(t){return t?jn(Ec(t),-Rt,Rt):0===t?t:0}function Ac(t){return null==t?\"\":gi(t)}function Oc(t,e){var n=yf(t);return null==e?n:Rn(n,e)}function Ic(t,e){return w(t,ko(e,3),nr)}function Dc(t,e){return w(t,ko(e,3),or)}function Rc(t,e){return null==t?t:xf(t,ko(e,3),qc)}function Lc(t,e){return null==t?t:wf(t,ko(e,3),qc)}function Uc(t,e){return t&&nr(t,ko(e,3))}function Fc(t,e){return t&&or(t,ko(e,3))}function jc(t){return null==t?[]:ar(t,Hc(t))}function Bc(t){return null==t?[]:ar(t,qc(t))}function Wc(t,e,n){var r=null==t?it:cr(t,e);return r===it?n:r}function Vc(t,e){return null!=t&&Oo(t,e,_r)}function zc(t,e){return null!=t&&Oo(t,e,Cr)}function Hc(t){return Xu(t)?Tn(t):Wr(t)}function qc(t){return Xu(t)?Tn(t,!0):Vr(t)}function Yc(t,e){var n={};return e=ko(e,3),nr(t,function(t,r,i){Un(n,e(t,r,i),t)}),n}function Kc(t,e){var n={};return e=ko(e,3),nr(t,function(t,r,i){Un(n,r,e(t,r,i))}),n}function Gc(t,e){return $c(t,Lu(ko(e)))}function $c(t,e){if(null==t)return{};var n=v(wo(t),function(t){return[t]});return e=ko(e),Qr(t,n,function(t,n){return e(t,n[0])})}function Xc(t,e,n){e=Ei(e,t);var r=-1,i=e.length;for(i||(i=1,t=it);++r<i;){var o=null==t?it:t[ra(e[r])];o===it&&(r=i,o=n),t=oc(o)?o.call(t):o}return t}function Zc(t,e,n){return null==t?t:ci(t,e,n)}function Qc(t,e,n,r){return r=\"function\"==typeof r?r:it,null==t?t:ci(t,e,n,r)}function Jc(t,e,n){var r=xp(t),i=r||Cp(t)||Sp(t);if(e=ko(e,4),null==n){var o=t&&t.constructor;n=i?r?new o:[]:cc(t)&&oc(o)?yf(Al(t)):{}}return(i?s:nr)(t,function(t,r,i){return e(n,t,r,i)}),n}function ts(t,e){return null==t||yi(t,e)}function es(t,e,n){return null==t?t:_i(t,e,ki(n))}function ns(t,e,n,r){return r=\"function\"==typeof r?r:it,null==t?t:_i(t,e,ki(n),r)}function rs(t){return null==t?[]:L(t,Hc(t))}function is(t){return null==t?[]:L(t,qc(t))}function os(t,e,n){return n===it&&(n=e,e=it),n!==it&&(n=Sc(n),n=n===n?n:0),e!==it&&(e=Sc(e),e=e===e?e:0),jn(Sc(t),e,n)}function as(t,e,n){return e=kc(e),n===it?(n=e,e=0):n=kc(n),t=Sc(t),kr(t,e,n)}function us(t,e,n){if(n&&\"boolean\"!=typeof n&&jo(t,e,n)&&(e=n=it),n===it&&(\"boolean\"==typeof e?(n=e,e=it):\"boolean\"==typeof t&&(n=t,t=it)),t===it&&e===it?(t=0,e=1):(t=kc(t),e===it?(e=t,t=0):e=kc(e)),t>e){var r=t;t=e,e=r}if(n||t%1||e%1){var i=Jl();return Xl(t+i*(e-t+rr(\"1e-\"+((i+\"\").length-1))),e)}return ni(t,e)}function cs(t){return th(Ac(t).toLowerCase())}function ss(t){return t=Ac(t),t&&t.replace(Qe,br).replace(Hn,\"\")}function ls(t,e,n){t=Ac(t),e=gi(e);var r=t.length;n=n===it?r:jn(Ec(n),0,r);var i=n;return n-=e.length,n>=0&&t.slice(n,i)==e}function fs(t){return t=Ac(t),t&&Te.test(t)?t.replace(ke,xr):t}function ps(t){return t=Ac(t),t&&Le.test(t)?t.replace(Re,\"\\\\$&\"):t}function hs(t,e,n){t=Ac(t),e=Ec(e);var r=e?J(t):0;if(!e||r>=e)return t;var i=(e-r)/2;return oo(zl(i),n)+t+oo(Vl(i),n)}function ds(t,e,n){t=Ac(t),e=Ec(e);var r=e?J(t):0;return e&&r<e?t+oo(e-r,n):t}function vs(t,e,n){t=Ac(t),e=Ec(e);var r=e?J(t):0;return e&&r<e?oo(e-r,n)+t:t}function gs(t,e,n){return n||null==e?e=0:e&&(e=+e),Ql(Ac(t).replace(Fe,\"\"),e||0)}function ms(t,e,n){return e=(n?jo(t,e,n):e===it)?1:Ec(e),ii(Ac(t),e)}function ys(){var t=arguments,e=Ac(t[0]);return t.length<3?e:e.replace(t[1],t[2])}function _s(t,e,n){return n&&\"number\"!=typeof n&&jo(t,e,n)&&(e=n=it),(n=n===it?Ft:n>>>0)?(t=Ac(t),t&&(\"string\"==typeof e||null!=e&&!Ep(e))&&(e=gi(e),!e&&z(t))?Ti(tt(t),0,n):t.split(e,n)):[]}function bs(t,e,n){return t=Ac(t),n=null==n?0:jn(Ec(n),0,t.length),e=gi(e),t.slice(n,n+e.length)==e}function xs(t,e,r){var i=n.templateSettings;r&&jo(t,e,r)&&(e=it),t=Ac(t),e=Ip({},e,i,ho);var o,a,u=Ip({},e.imports,i.imports,ho),c=Hc(u),s=L(u,c),l=0,f=e.interpolate||Je,p=\"__p += '\",h=pl((e.escape||Je).source+\"|\"+f.source+\"|\"+(f===Ne?qe:Je).source+\"|\"+(e.evaluate||Je).source+\"|$\",\"g\"),d=\"//# sourceURL=\"+(\"sourceURL\"in e?e.sourceURL:\"lodash.templateSources[\"+ ++Xn+\"]\")+\"\\n\";t.replace(h,function(e,n,r,i,u,c){return r||(r=i),p+=t.slice(l,c).replace(tn,W),n&&(o=!0,p+=\"' +\\n__e(\"+n+\") +\\n'\"),u&&(a=!0,p+=\"';\\n\"+u+\";\\n__p += '\"),r&&(p+=\"' +\\n((__t = (\"+r+\")) == null ? '' : __t) +\\n'\"),l=c+e.length,e}),p+=\"';\\n\";var v=e.variable;v||(p=\"with (obj) {\\n\"+p+\"\\n}\\n\"),p=(a?p.replace(xe,\"\"):p).replace(we,\"$1\").replace(Ce,\"$1;\"),p=\"function(\"+(v||\"obj\")+\") {\\n\"+(v?\"\":\"obj || (obj = {});\\n\")+\"var __t, __p = ''\"+(o?\", __e = _.escape\":\"\")+(a?\", __j = Array.prototype.join;\\nfunction print() { __p += __j.call(arguments, '') }\\n\":\";\\n\")+p+\"return __p\\n}\";var g=eh(function(){return sl(c,d+\"return \"+p).apply(it,s)});if(g.source=p,rc(g))throw g;return g}function ws(t){return Ac(t).toLowerCase()}function Cs(t){return Ac(t).toUpperCase()}function Ms(t,e,n){if(t=Ac(t),t&&(n||e===it))return t.replace(Ue,\"\");if(!t||!(e=gi(e)))return t;var r=tt(t),i=tt(e),o=F(r,i),a=j(r,i)+1;return Ti(r,o,a).join(\"\")}function ks(t,e,n){if(t=Ac(t),t&&(n||e===it))return t.replace(je,\"\");if(!t||!(e=gi(e)))return t;var r=tt(t),i=j(r,tt(e))+1;return Ti(r,0,i).join(\"\")}function Es(t,e,n){if(t=Ac(t),t&&(n||e===it))return t.replace(Fe,\"\");if(!t||!(e=gi(e)))return t;var r=tt(t),i=F(r,tt(e));return Ti(r,i).join(\"\")}function Ts(t,e){var n=Tt,r=St;if(cc(e)){var i=\"separator\"in e?e.separator:i;n=\"length\"in e?Ec(e.length):n,r=\"omission\"in e?gi(e.omission):r}t=Ac(t);var o=t.length;if(z(t)){var a=tt(t);o=a.length}if(n>=o)return t;var u=n-J(r);if(u<1)return r;var c=a?Ti(a,0,u).join(\"\"):t.slice(0,u);if(i===it)return c+r;if(a&&(u+=c.length-u),Ep(i)){if(t.slice(u).search(i)){var s,l=c;for(i.global||(i=pl(i.source,Ac(Ye.exec(i))+\"g\")),i.lastIndex=0;s=i.exec(l);)var f=s.index;c=c.slice(0,f===it?u:f)}}else if(t.indexOf(gi(i),u)!=u){var p=c.lastIndexOf(i);p>-1&&(c=c.slice(0,p))}return c+r}function Ss(t){return t=Ac(t),t&&Ee.test(t)?t.replace(Me,wr):t}function Ps(t,e,n){return t=Ac(t),e=n?it:e,e===it?H(t)?rt(t):x(t):t.match(e)||[]}function Ns(t){var e=null==t?0:t.length,n=ko();return t=e?v(t,function(t){if(\"function\"!=typeof t[1])throw new dl(ct);return[n(t[0]),t[1]]}):[],oi(function(n){for(var r=-1;++r<e;){var i=t[r];if(u(i[0],this,n))return u(i[1],this,n)}})}function As(t){return Wn(Bn(t,pt))}function Os(t){return function(){return t}}function Is(t,e){return null==t||t!==t?e:t}function Ds(t){return t}function Rs(t){return Br(\"function\"==typeof t?t:Bn(t,pt))}function Ls(t){return qr(Bn(t,pt))}function Us(t,e){return Yr(t,Bn(e,pt))}function Fs(t,e,n){var r=Hc(e),i=ar(e,r);null!=n||cc(e)&&(i.length||!r.length)||(n=e,e=t,t=this,i=ar(e,Hc(e)));var o=!(cc(n)&&\"chain\"in n&&!n.chain),a=oc(t);return s(i,function(n){var r=e[n];t[n]=r,a&&(t.prototype[n]=function(){var e=this.__chain__;if(o||e){var n=t(this.__wrapped__),i=n.__actions__=Bi(this.__actions__);return i.push({func:r,args:arguments,thisArg:t}),n.__chain__=e,n}return r.apply(t,g([this.value()],arguments))})}),t}function js(){return ur._===this&&(ur._=kl),this}function Bs(){}function Ws(t){return t=Ec(t),oi(function(e){return $r(e,t)})}function Vs(t){return Bo(t)?S(ra(t)):Jr(t)}function zs(t){return function(e){return null==t?it:cr(t,e)}}function Hs(){return[]}function qs(){return!1}function Ys(){return{}}function Ks(){return\"\"}function Gs(){return!0}function $s(t,e){if(t=Ec(t),t<1||t>Rt)return[];var n=Ft,r=Xl(t,Ft);e=ko(e),t-=Ft;for(var i=I(r,e);++n<t;)e(n);return i}function Xs(t){return xp(t)?v(t,ra):bc(t)?[t]:Bi(Lf(Ac(t)))}function Zs(t){var e=++xl;return Ac(t)+e}function Qs(t){return t&&t.length?Gn(t,Ds,pr):it}function Js(t,e){return t&&t.length?Gn(t,ko(e,2),pr):it}function tl(t){return T(t,Ds)}function el(t,e){return T(t,ko(e,2))}function nl(t){return t&&t.length?Gn(t,Ds,zr):it}function rl(t,e){return t&&t.length?Gn(t,ko(e,2),zr):it}function il(t){return t&&t.length?O(t,Ds):0}function ol(t,e){return t&&t.length?O(t,ko(e,2)):0}e=null==e?ur:Mr.defaults(ur.Object(),e,Mr.pick(ur,$n));var al=e.Array,ul=e.Date,cl=e.Error,sl=e.Function,ll=e.Math,fl=e.Object,pl=e.RegExp,hl=e.String,dl=e.TypeError,vl=al.prototype,gl=sl.prototype,ml=fl.prototype,yl=e[\"__core-js_shared__\"],_l=gl.toString,bl=ml.hasOwnProperty,xl=0,wl=function(){var t=/[^.]+$/.exec(yl&&yl.keys&&yl.keys.IE_PROTO||\"\");return t?\"Symbol(src)_1.\"+t:\"\"}(),Cl=ml.toString,Ml=_l.call(fl),kl=ur._,El=pl(\"^\"+_l.call(bl).replace(Re,\"\\\\$&\").replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g,\"$1.*?\")+\"$\"),Tl=lr?e.Buffer:it,Sl=e.Symbol,Pl=e.Uint8Array,Nl=Tl?Tl.allocUnsafe:it,Al=K(fl.getPrototypeOf,fl),Ol=fl.create,Il=ml.propertyIsEnumerable,Dl=vl.splice,Rl=Sl?Sl.isConcatSpreadable:it,Ll=Sl?Sl.iterator:it,Ul=Sl?Sl.toStringTag:it,Fl=function(){try{var t=So(fl,\"defineProperty\");return t({},\"\",{}),t}catch(t){}}(),jl=e.clearTimeout!==ur.clearTimeout&&e.clearTimeout,Bl=ul&&ul.now!==ur.Date.now&&ul.now,Wl=e.setTimeout!==ur.setTimeout&&e.setTimeout,Vl=ll.ceil,zl=ll.floor,Hl=fl.getOwnPropertySymbols,ql=Tl?Tl.isBuffer:it,Yl=e.isFinite,Kl=vl.join,Gl=K(fl.keys,fl),$l=ll.max,Xl=ll.min,Zl=ul.now,Ql=e.parseInt,Jl=ll.random,tf=vl.reverse,ef=So(e,\"DataView\"),nf=So(e,\"Map\"),rf=So(e,\"Promise\"),of=So(e,\"Set\"),af=So(e,\"WeakMap\"),uf=So(fl,\"create\"),cf=af&&new af,sf={},lf=ia(ef),ff=ia(nf),pf=ia(rf),hf=ia(of),df=ia(af),vf=Sl?Sl.prototype:it,gf=vf?vf.valueOf:it,mf=vf?vf.toString:it,yf=function(){function t(){}return function(e){if(!cc(e))return{};if(Ol)return Ol(e);t.prototype=e;var n=new t;return t.prototype=it,n}}();n.templateSettings={escape:Se,evaluate:Pe,interpolate:Ne,variable:\"\",imports:{_:n}},n.prototype=r.prototype,n.prototype.constructor=n,i.prototype=yf(r.prototype),i.prototype.constructor=i,b.prototype=yf(r.prototype),b.prototype.constructor=b,nt.prototype.clear=ze,nt.prototype.delete=en,nt.prototype.get=nn,nt.prototype.has=rn,nt.prototype.set=on,an.prototype.clear=un,an.prototype.delete=cn,an.prototype.get=sn,an.prototype.has=ln,an.prototype.set=fn,pn.prototype.clear=hn,pn.prototype.delete=dn,pn.prototype.get=vn,pn.prototype.has=gn,pn.prototype.set=mn,yn.prototype.add=yn.prototype.push=_n,yn.prototype.has=bn,xn.prototype.clear=wn,xn.prototype.delete=Cn,xn.prototype.get=Mn,xn.prototype.has=kn,xn.prototype.set=En;var _f=Yi(nr),bf=Yi(or,!0),xf=Ki(),wf=Ki(!0),Cf=cf?function(t,e){return cf.set(t,e),t}:Ds,Mf=Fl?function(t,e){return Fl(t,\"toString\",{configurable:!0,enumerable:!1,value:Os(e),writable:!0})}:Ds,kf=oi,Ef=jl||function(t){return ur.clearTimeout(t)},Tf=of&&1/$(new of([,-0]))[1]==Dt?function(t){return new of(t)}:Bs,Sf=cf?function(t){return cf.get(t)}:Bs,Pf=Hl?function(t){return null==t?[]:(t=fl(t),p(Hl(t),function(e){return Il.call(t,e)}))}:Hs,Nf=Hl?function(t){for(var e=[];t;)g(e,Pf(t)),t=Al(t);return e}:Hs,Af=fr;(ef&&Af(new ef(new ArrayBuffer(1)))!=fe||nf&&Af(new nf)!=Zt||rf&&Af(rf.resolve())!=ee||of&&Af(new of)!=ie||af&&Af(new af)!=ce)&&(Af=function(t){var e=fr(t),n=e==te?t.constructor:it,r=n?ia(n):\"\";if(r)switch(r){case lf:return fe;case ff:return Zt;case pf:return ee;case hf:return ie;case df:return ce}return e});var Of=yl?oc:qs,If=ea(Cf),Df=Wl||function(t,e){return ur.setTimeout(t,e)},Rf=ea(Mf),Lf=Ko(function(t){var e=[];return Ie.test(t)&&e.push(\"\"),t.replace(De,function(t,n,r,i){e.push(r?i.replace(He,\"$1\"):n||t)}),e}),Uf=oi(function(t,e){return Zu(t)?Yn(t,er(e,1,Zu,!0)):[]}),Ff=oi(function(t,e){var n=ka(e);return Zu(n)&&(n=it),Zu(t)?Yn(t,er(e,1,Zu,!0),ko(n,2)):[]}),jf=oi(function(t,e){var n=ka(e);return Zu(n)&&(n=it),Zu(t)?Yn(t,er(e,1,Zu,!0),it,n):[]}),Bf=oi(function(t){var e=v(t,Mi);return e.length&&e[0]===t[0]?Er(e):[]}),Wf=oi(function(t){var e=ka(t),n=v(t,Mi);return e===ka(n)?e=it:n.pop(),n.length&&n[0]===t[0]?Er(n,ko(e,2)):[]}),Vf=oi(function(t){var e=ka(t),n=v(t,Mi);return e=\"function\"==typeof e?e:it,e&&n.pop(),n.length&&n[0]===t[0]?Er(n,it,e):[]}),zf=oi(Sa),Hf=bo(function(t,e){var n=null==t?0:t.length,r=Fn(t,e);return ei(t,v(e,function(t){return Fo(t,n)?+t:t}).sort(Li)),r}),qf=oi(function(t){return mi(er(t,1,Zu,!0))}),Yf=oi(function(t){var e=ka(t);return Zu(e)&&(e=it),mi(er(t,1,Zu,!0),ko(e,2))}),Kf=oi(function(t){var e=ka(t);return e=\"function\"==typeof e?e:it,mi(er(t,1,Zu,!0),it,e)}),Gf=oi(function(t,e){return Zu(t)?Yn(t,e):[]}),$f=oi(function(t){return wi(p(t,Zu))}),Xf=oi(function(t){var e=ka(t);return Zu(e)&&(e=it),wi(p(t,Zu),ko(e,2))}),Zf=oi(function(t){var e=ka(t);return e=\"function\"==typeof e?e:it,wi(p(t,Zu),it,e)}),Qf=oi(Xa),Jf=oi(function(t){var e=t.length,n=e>1?t[e-1]:it;return n=\"function\"==typeof n?(t.pop(),n):it,Za(t,n)}),tp=bo(function(t){var e=t.length,n=e?t[0]:0,r=this.__wrapped__,o=function(e){return Fn(e,t)};return!(e>1||this.__actions__.length)&&r instanceof b&&Fo(n)?(r=r.slice(n,+n+(e?1:0)),r.__actions__.push({func:nu,args:[o],thisArg:it}),new i(r,this.__chain__).thru(function(t){return e&&!t.length&&t.push(it),t})):this.thru(o)}),ep=Hi(function(t,e,n){bl.call(t,n)?++t[n]:Un(t,n,1)}),np=Ji(va),rp=Ji(ga),ip=Hi(function(t,e,n){bl.call(t,n)?t[n].push(e):Un(t,n,[e])}),op=oi(function(t,e,n){var r=-1,i=\"function\"==typeof e,o=Xu(t)?al(t.length):[];return _f(t,function(t){o[++r]=i?u(e,t,n):Sr(t,e,n)}),o}),ap=Hi(function(t,e,n){Un(t,n,e)}),up=Hi(function(t,e,n){t[n?0:1].push(e)},function(){return[[],[]]}),cp=oi(function(t,e){if(null==t)return[];var n=e.length;return n>1&&jo(t,e[0],e[1])?e=[]:n>2&&jo(e[0],e[1],e[2])&&(e=[e[0]]),Xr(t,er(e,1),[])}),sp=Bl||function(){return ur.Date.now()},lp=oi(function(t,e,n){var r=mt;if(n.length){var i=G(n,Mo(lp));r|=wt}return po(t,r,e,n,i)}),fp=oi(function(t,e,n){var r=mt|yt;if(n.length){var i=G(n,Mo(fp));r|=wt}return po(e,r,t,n,i)}),pp=oi(function(t,e){return qn(t,1,e)}),hp=oi(function(t,e,n){return qn(t,Sc(e)||0,n)});Ru.Cache=pn;var dp=kf(function(t,e){e=1==e.length&&xp(e[0])?v(e[0],R(ko())):v(er(e,1),R(ko()));var n=e.length;return oi(function(r){for(var i=-1,o=Xl(r.length,n);++i<o;)r[i]=e[i].call(this,r[i]);return u(t,this,r)})}),vp=oi(function(t,e){var n=G(e,Mo(vp));return po(t,wt,it,e,n)}),gp=oi(function(t,e){var n=G(e,Mo(gp));return po(t,Ct,it,e,n)}),mp=bo(function(t,e){return po(t,kt,it,it,it,e)}),yp=co(pr),_p=co(function(t,e){return t>=e}),bp=Pr(function(){return arguments}())?Pr:function(t){return sc(t)&&bl.call(t,\"callee\")&&!Il.call(t,\"callee\")},xp=al.isArray,wp=hr?R(hr):Nr,Cp=ql||qs,Mp=dr?R(dr):Ar,kp=vr?R(vr):Dr,Ep=gr?R(gr):Ur,Tp=mr?R(mr):Fr,Sp=yr?R(yr):jr,Pp=co(zr),Np=co(function(t,e){return t<=e}),Ap=qi(function(t,e){if(Ho(e)||Xu(e))return void Wi(e,Hc(e),t);for(var n in e)bl.call(e,n)&&On(t,n,e[n])}),Op=qi(function(t,e){Wi(e,qc(e),t)}),Ip=qi(function(t,e,n,r){Wi(e,qc(e),t,r)}),Dp=qi(function(t,e,n,r){Wi(e,Hc(e),t,r)}),Rp=bo(Fn),Lp=oi(function(t){return t.push(it,ho),u(Ip,it,t)}),Up=oi(function(t){return t.push(it,vo),u(Vp,it,t)}),Fp=no(function(t,e,n){t[e]=n},Os(Ds)),jp=no(function(t,e,n){bl.call(t,e)?t[e].push(n):t[e]=[n]},ko),Bp=oi(Sr),Wp=qi(function(t,e,n){Kr(t,e,n)}),Vp=qi(function(t,e,n,r){Kr(t,e,n,r)}),zp=bo(function(t,e){var n={};if(null==t)return n;var r=!1;e=v(e,function(e){return e=Ei(e,t),r||(r=e.length>1),e}),Wi(t,wo(t),n),r&&(n=Bn(n,pt|ht|dt,go));for(var i=e.length;i--;)yi(n,e[i]);return n}),Hp=bo(function(t,e){return null==t?{}:Zr(t,e)}),qp=fo(Hc),Yp=fo(qc),Kp=Xi(function(t,e,n){return e=e.toLowerCase(),t+(n?cs(e):e)}),Gp=Xi(function(t,e,n){return t+(n?\"-\":\"\")+e.toLowerCase()}),$p=Xi(function(t,e,n){return t+(n?\" \":\"\")+e.toLowerCase()}),Xp=$i(\"toLowerCase\"),Zp=Xi(function(t,e,n){return t+(n?\"_\":\"\")+e.toLowerCase()}),Qp=Xi(function(t,e,n){return t+(n?\" \":\"\")+th(e)}),Jp=Xi(function(t,e,n){return t+(n?\" \":\"\")+e.toUpperCase()}),th=$i(\"toUpperCase\"),eh=oi(function(t,e){try{return u(t,it,e)}catch(t){return rc(t)?t:new cl(t)}}),nh=bo(function(t,e){return s(e,function(e){e=ra(e),Un(t,e,lp(t[e],t))}),t}),rh=to(),ih=to(!0),oh=oi(function(t,e){return function(n){return Sr(n,t,e)}}),ah=oi(function(t,e){return function(n){return Sr(t,n,e)}}),uh=io(v),ch=io(f),sh=io(_),lh=uo(),fh=uo(!0),ph=ro(function(t,e){return t+e},0),hh=lo(\"ceil\"),dh=ro(function(t,e){return t/e},1),vh=lo(\"floor\"),gh=ro(function(t,e){return t*e},1),mh=lo(\"round\"),yh=ro(function(t,e){return t-e},0);return n.after=Su,n.ary=Pu,n.assign=Ap,n.assignIn=Op,n.assignInWith=Ip,n.assignWith=Dp,n.at=Rp,n.before=Nu,n.bind=lp,n.bindAll=nh,n.bindKey=fp,n.castArray=zu,n.chain=tu,n.chunk=ua,n.compact=ca,n.concat=sa,n.cond=Ns,n.conforms=As,n.constant=Os,n.countBy=ep,n.create=Oc,n.curry=Au,n.curryRight=Ou,n.debounce=Iu,n.defaults=Lp,n.defaultsDeep=Up,n.defer=pp,n.delay=hp,n.difference=Uf,n.differenceBy=Ff,n.differenceWith=jf,n.drop=la,n.dropRight=fa,n.dropRightWhile=pa,n.dropWhile=ha,n.fill=da,n.filter=fu,n.flatMap=pu,n.flatMapDeep=hu,n.flatMapDepth=du,n.flatten=ma,n.flattenDeep=ya,n.flattenDepth=_a,n.flip=Du,n.flow=rh,n.flowRight=ih,n.fromPairs=ba,n.functions=jc,n.functionsIn=Bc,n.groupBy=ip,n.initial=Ca,n.intersection=Bf,n.intersectionBy=Wf,n.intersectionWith=Vf,n.invert=Fp,n.invertBy=jp,n.invokeMap=op,n.iteratee=Rs,n.keyBy=ap,n.keys=Hc,n.keysIn=qc,n.map=yu,n.mapKeys=Yc,n.mapValues=Kc,n.matches=Ls,n.matchesProperty=Us,n.memoize=Ru,n.merge=Wp,n.mergeWith=Vp,n.method=oh,n.methodOf=ah,n.mixin=Fs,n.negate=Lu,n.nthArg=Ws,n.omit=zp,n.omitBy=Gc,n.once=Uu,n.orderBy=_u,n.over=uh,n.overArgs=dp,n.overEvery=ch,n.overSome=sh,n.partial=vp,n.partialRight=gp,n.partition=up,n.pick=Hp,n.pickBy=$c,n.property=Vs,n.propertyOf=zs,n.pull=zf,n.pullAll=Sa,n.pullAllBy=Pa,n.pullAllWith=Na,n.pullAt=Hf,n.range=lh,n.rangeRight=fh,n.rearg=mp,n.reject=wu,n.remove=Aa,n.rest=Fu,n.reverse=Oa,n.sampleSize=Mu,n.set=Zc,n.setWith=Qc,n.shuffle=ku,n.slice=Ia,n.sortBy=cp,n.sortedUniq=Ba,n.sortedUniqBy=Wa,n.split=_s,n.spread=ju,n.tail=Va,n.take=za,n.takeRight=Ha,n.takeRightWhile=qa,n.takeWhile=Ya,n.tap=eu,n.throttle=Bu,n.thru=nu,n.toArray=Mc,n.toPairs=qp,n.toPairsIn=Yp,n.toPath=Xs,n.toPlainObject=Pc,n.transform=Jc,n.unary=Wu,n.union=qf,n.unionBy=Yf,n.unionWith=Kf,n.uniq=Ka,n.uniqBy=Ga,n.uniqWith=$a,n.unset=ts,n.unzip=Xa,n.unzipWith=Za,n.update=es,n.updateWith=ns,n.values=rs,n.valuesIn=is,n.without=Gf,n.words=Ps,n.wrap=Vu,n.xor=$f,n.xorBy=Xf,n.xorWith=Zf,n.zip=Qf,n.zipObject=Qa,n.zipObjectDeep=Ja,n.zipWith=Jf,n.entries=qp,n.entriesIn=Yp,n.extend=Op,n.extendWith=Ip,Fs(n,n),n.add=ph,n.attempt=eh,n.camelCase=Kp,n.capitalize=cs,n.ceil=hh,n.clamp=os,n.clone=Hu,n.cloneDeep=Yu,n.cloneDeepWith=Ku,n.cloneWith=qu,n.conformsTo=Gu,n.deburr=ss,n.defaultTo=Is,n.divide=dh,n.endsWith=ls,n.eq=$u,n.escape=fs,n.escapeRegExp=ps,n.every=lu,n.find=np,n.findIndex=va,n.findKey=Ic,n.findLast=rp,n.findLastIndex=ga,n.findLastKey=Dc,n.floor=vh,n.forEach=vu,n.forEachRight=gu,n.forIn=Rc,n.forInRight=Lc,n.forOwn=Uc,n.forOwnRight=Fc,n.get=Wc,n.gt=yp,n.gte=_p,n.has=Vc,n.hasIn=zc,n.head=xa,n.identity=Ds,n.includes=mu,n.indexOf=wa,n.inRange=as,n.invoke=Bp,n.isArguments=bp,n.isArray=xp,n.isArrayBuffer=wp,n.isArrayLike=Xu,n.isArrayLikeObject=Zu,n.isBoolean=Qu,n.isBuffer=Cp,n.isDate=Mp,n.isElement=Ju,n.isEmpty=tc,n.isEqual=ec,n.isEqualWith=nc,n.isError=rc,n.isFinite=ic,n.isFunction=oc,n.isInteger=ac,n.isLength=uc,n.isMap=kp,n.isMatch=lc,n.isMatchWith=fc,n.isNaN=pc,n.isNative=hc,n.isNil=vc,n.isNull=dc,n.isNumber=gc,n.isObject=cc,n.isObjectLike=sc,n.isPlainObject=mc,n.isRegExp=Ep,n.isSafeInteger=yc,n.isSet=Tp,n.isString=_c,n.isSymbol=bc,n.isTypedArray=Sp,n.isUndefined=xc,n.isWeakMap=wc,n.isWeakSet=Cc,n.join=Ma,n.kebabCase=Gp,n.last=ka,n.lastIndexOf=Ea,n.lowerCase=$p,n.lowerFirst=Xp,n.lt=Pp,n.lte=Np,n.max=Qs,n.maxBy=Js,n.mean=tl,n.meanBy=el,n.min=nl,n.minBy=rl,n.stubArray=Hs,n.stubFalse=qs,n.stubObject=Ys,n.stubString=Ks,n.stubTrue=Gs,n.multiply=gh,n.nth=Ta,n.noConflict=js,n.noop=Bs,n.now=sp,n.pad=hs,n.padEnd=ds,n.padStart=vs,n.parseInt=gs,n.random=us,n.reduce=bu,n.reduceRight=xu,n.repeat=ms,n.replace=ys,n.result=Xc,n.round=mh,n.runInContext=t,n.sample=Cu,n.size=Eu,n.snakeCase=Zp,n.some=Tu,n.sortedIndex=Da,n.sortedIndexBy=Ra,n.sortedIndexOf=La,n.sortedLastIndex=Ua,n.sortedLastIndexBy=Fa,n.sortedLastIndexOf=ja,n.startCase=Qp,n.startsWith=bs,n.subtract=yh,n.sum=il,n.sumBy=ol,n.template=xs,n.times=$s,n.toFinite=kc,n.toInteger=Ec,n.toLength=Tc,n.toLower=ws,n.toNumber=Sc,n.toSafeInteger=Nc,n.toString=Ac,n.toUpper=Cs,n.trim=Ms,n.trimEnd=ks,n.trimStart=Es,n.truncate=Ts,n.unescape=Ss,n.uniqueId=Zs,n.upperCase=Jp,n.upperFirst=th,n.each=vu,n.eachRight=gu,n.first=xa,Fs(n,function(){var t={};return nr(n,function(e,r){bl.call(n.prototype,r)||(t[r]=e)}),t}(),{chain:!1}),n.VERSION=ot,s([\"bind\",\"bindKey\",\"curry\",\"curryRight\",\"partial\",\"partialRight\"],function(t){n[t].placeholder=n}),s([\"drop\",\"take\"],function(t,e){b.prototype[t]=function(n){n=n===it?1:$l(Ec(n),0);var r=this.__filtered__&&!e?new b(this):this.clone();return r.__filtered__?r.__takeCount__=Xl(n,r.__takeCount__):r.__views__.push({size:Xl(n,Ft),type:t+(r.__dir__<0?\"Right\":\"\")}),r},b.prototype[t+\"Right\"]=function(e){return this.reverse()[t](e).reverse()}}),s([\"filter\",\"map\",\"takeWhile\"],function(t,e){var n=e+1,r=n==At||n==It;b.prototype[t]=function(t){var e=this.clone();return e.__iteratees__.push({iteratee:ko(t,3),type:n}),e.__filtered__=e.__filtered__||r,e}}),s([\"head\",\"last\"],function(t,e){var n=\"take\"+(e?\"Right\":\"\");b.prototype[t]=function(){return this[n](1).value()[0]}}),s([\"initial\",\"tail\"],function(t,e){var n=\"drop\"+(e?\"\":\"Right\");b.prototype[t]=function(){return this.__filtered__?new b(this):this[n](1)}}),b.prototype.compact=function(){return this.filter(Ds)},b.prototype.find=function(t){return this.filter(t).head()},b.prototype.findLast=function(t){return this.reverse().find(t)},b.prototype.invokeMap=oi(function(t,e){return\"function\"==typeof t?new b(this):this.map(function(n){return Sr(n,t,e)})}),b.prototype.reject=function(t){return this.filter(Lu(ko(t)))},b.prototype.slice=function(t,e){t=Ec(t);var n=this;return n.__filtered__&&(t>0||e<0)?new b(n):(t<0?n=n.takeRight(-t):t&&(n=n.drop(t)),e!==it&&(e=Ec(e),n=e<0?n.dropRight(-e):n.take(e-t)),n)},b.prototype.takeRightWhile=function(t){return this.reverse().takeWhile(t).reverse()},b.prototype.toArray=function(){return this.take(Ft)},nr(b.prototype,function(t,e){var r=/^(?:filter|find|map|reject)|While$/.test(e),o=/^(?:head|last)$/.test(e),a=n[o?\"take\"+(\"last\"==e?\"Right\":\"\"):e],u=o||/^find/.test(e);a&&(n.prototype[e]=function(){var e=this.__wrapped__,c=o?[1]:arguments,s=e instanceof b,l=c[0],f=s||xp(e),p=function(t){var e=a.apply(n,g([t],c));return o&&h?e[0]:e};f&&r&&\"function\"==typeof l&&1!=l.length&&(s=f=!1);var h=this.__chain__,d=!!this.__actions__.length,v=u&&!h,m=s&&!d;if(!u&&f){e=m?e:new b(this);var y=t.apply(e,c);return y.__actions__.push({func:nu,args:[p],thisArg:it}),new i(y,h)}return v&&m?t.apply(this,c):(y=this.thru(p),v?o?y.value()[0]:y.value():y)})}),s([\"pop\",\"push\",\"shift\",\"sort\",\"splice\",\"unshift\"],function(t){var e=vl[t],r=/^(?:push|sort|unshift)$/.test(t)?\"tap\":\"thru\",i=/^(?:pop|shift)$/.test(t);n.prototype[t]=function(){var t=arguments;if(i&&!this.__chain__){var n=this.value();return e.apply(xp(n)?n:[],t)}return this[r](function(n){return e.apply(xp(n)?n:[],t)})}}),nr(b.prototype,function(t,e){var r=n[e];if(r){var i=r.name+\"\",o=sf[i]||(sf[i]=[]);o.push({name:e,func:r})}}),sf[eo(it,yt).name]=[{name:\"wrapper\",func:it}],b.prototype.clone=P,b.prototype.reverse=Z,b.prototype.value=et,n.prototype.at=tp,n.prototype.chain=ru,n.prototype.commit=iu,n.prototype.next=ou,n.prototype.plant=uu,n.prototype.reverse=cu,n.prototype.toJSON=n.prototype.valueOf=n.prototype.value=su,n.prototype.first=n.prototype.head,Ll&&(n.prototype[Ll]=au),n},Mr=Cr();ur._=Mr,i=function(){return Mr}.call(e,n,e,r),!(i!==it&&(r.exports=i))}).call(this)}).call(e,n(99),n(100)(t))},function(t,e,n){\"use strict\";var r={remove:function(t){t._reactInternalInstance=void 0},get:function(t){return t._reactInternalInstance},has:function(t){return void 0!==t._reactInternalInstance},set:function(t,e){t._reactInternalInstance=e}};t.exports=r},function(t,e,n){\"use strict\";t.exports=n(26)},function(t,e,n){\"use strict\";var r=n(61);e.a=function(t){return t=n.i(r.a)(Math.abs(t)),t?t[1]:NaN}},function(t,e,n){\"use strict\";e.a=function(t,e){return t=+t,e-=t,function(n){return t+e*n}}},function(t,e,n){\"use strict\";var r=n(228);n.d(e,\"a\",function(){return r.a})},function(t,e,n){\"use strict\";function r(t,e){return(e-=t=+t)?function(n){return(n-t)/e}:n.i(h.a)(e)}function i(t){return function(e,n){var r=t(e=+e,n=+n);return function(t){return t<=e?0:t>=n?1:r(t)}}}function o(t){return function(e,n){var r=t(e=+e,n=+n);return function(t){return t<=0?e:t>=1?n:r(t)}}}function a(t,e,n,r){var i=t[0],o=t[1],a=e[0],u=e[1];return o<i?(i=n(o,i),a=r(u,a)):(i=n(i,o),a=r(a,u)),function(t){return a(i(t))}}function u(t,e,r,i){var o=Math.min(t.length,e.length)-1,a=new Array(o),u=new Array(o),c=-1;for(t[o]<t[0]&&(t=t.slice().reverse(),e=e.slice().reverse());++c<o;)a[c]=r(t[c],t[c+1]),u[c]=i(e[c],e[c+1]);return function(e){var r=n.i(l.c)(t,e,1,o)-1;return u[r](a[r](e))}}function c(t,e){return e.domain(t.domain()).range(t.range()).interpolate(t.interpolate()).clamp(t.clamp())}function s(t,e){function n(){return s=Math.min(g.length,m.length)>2?u:a,l=h=null,c}function c(e){return(l||(l=s(g,m,_?i(t):t,y)))(+e)}var s,l,h,g=v,m=v,y=f.b,_=!1;return c.invert=function(t){return(h||(h=s(m,g,r,_?o(e):e)))(+t)},c.domain=function(t){return arguments.length?(g=p.a.call(t,d.a),n()):g.slice()},c.range=function(t){return arguments.length?(m=p.b.call(t),n()):m.slice()},c.rangeRound=function(t){return m=p.b.call(t),y=f.c,n()},c.clamp=function(t){return arguments.length?(_=!!t,n()):_},c.interpolate=function(t){return arguments.length?(y=t,n()):y},n()}var l=n(12),f=n(31),p=n(16),h=n(65),d=n(126);e.b=r,e.c=c,e.a=s;var v=[0,1]},function(t,e,n){\"use strict\";function r(t,e,n){t._context.bezierCurveTo((2*t._x0+t._x1)/3,(2*t._y0+t._y1)/3,(t._x0+2*t._x1)/3,(t._y0+2*t._y1)/3,(t._x0+4*t._x1+e)/6,(t._y0+4*t._y1+n)/6)}function i(t){this._context=t}e.c=r,e.b=i,i.prototype={\n",
       "areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){switch(this._point){case 3:r(this,this._x1,this._y1);case 2:this._context.lineTo(this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,this._context.lineTo((5*this._x0+this._x1)/6,(5*this._y0+this._y1)/6);default:r(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},e.a=function(t){return new i(t)}},function(t,e,n){\"use strict\";function r(t,e,n){t._context.bezierCurveTo(t._x1+t._k*(t._x2-t._x0),t._y1+t._k*(t._y2-t._y0),t._x2+t._k*(t._x1-e),t._y2+t._k*(t._y1-n),t._x2,t._y2)}function i(t,e){this._context=t,this._k=(1-e)/6}e.c=r,e.b=i,i.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:r(this,this._x1,this._y1)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2,this._x1=t,this._y1=e;break;case 2:this._point=3;default:r(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return new i(t,e)}return n.tension=function(e){return t(+e)},n}(0)},function(t,e,n){\"use strict\";function r(t){this._context=t}r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._point=0},lineEnd:function(){(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:this._context.lineTo(t,e)}}},e.a=function(t){return new r(t)}},function(t,e,n){\"use strict\";e.a=function(){}},function(t,e,n){\"use strict\";function r(t){return\"topMouseUp\"===t||\"topTouchEnd\"===t||\"topTouchCancel\"===t}function i(t){return\"topMouseMove\"===t||\"topTouchMove\"===t}function o(t){return\"topMouseDown\"===t||\"topTouchStart\"===t}function a(t,e,n,r){var i=t.type||\"unknown-event\";t.currentTarget=m.getNodeFromInstance(r),e?v.invokeGuardedCallbackWithCatch(i,n,t):v.invokeGuardedCallback(i,n,t),t.currentTarget=null}function u(t,e){var n=t._dispatchListeners,r=t._dispatchInstances;if(Array.isArray(n))for(var i=0;i<n.length&&!t.isPropagationStopped();i++)a(t,e,n[i],r[i]);else n&&a(t,e,n,r);t._dispatchListeners=null,t._dispatchInstances=null}function c(t){var e=t._dispatchListeners,n=t._dispatchInstances;if(Array.isArray(e)){for(var r=0;r<e.length&&!t.isPropagationStopped();r++)if(e[r](t,n[r]))return n[r]}else if(e&&e(t,n))return n;return null}function s(t){var e=c(t);return t._dispatchInstances=null,t._dispatchListeners=null,e}function l(t){var e=t._dispatchListeners,n=t._dispatchInstances;Array.isArray(e)?d(\"103\"):void 0,t.currentTarget=e?m.getNodeFromInstance(n):null;var r=e?e(t):null;return t.currentTarget=null,t._dispatchListeners=null,t._dispatchInstances=null,r}function f(t){return!!t._dispatchListeners}var p,h,d=n(2),v=n(87),g=(n(0),n(1),{injectComponentTree:function(t){p=t},injectTreeTraversal:function(t){h=t}}),m={isEndish:r,isMoveish:i,isStartish:o,executeDirectDispatch:l,executeDispatchesInOrder:u,executeDispatchesInOrderStopAtTrue:s,hasDispatches:f,getInstanceFromNode:function(t){return p.getInstanceFromNode(t)},getNodeFromInstance:function(t){return p.getNodeFromInstance(t)},isAncestor:function(t,e){return h.isAncestor(t,e)},getLowestCommonAncestor:function(t,e){return h.getLowestCommonAncestor(t,e)},getParentInstance:function(t){return h.getParentInstance(t)},traverseTwoPhase:function(t,e,n){return h.traverseTwoPhase(t,e,n)},traverseEnterLeave:function(t,e,n,r,i){return h.traverseEnterLeave(t,e,n,r,i)},injection:g};t.exports=m},function(t,e,n){\"use strict\";function r(t){return Object.prototype.hasOwnProperty.call(t,v)||(t[v]=h++,f[t[v]]={}),f[t[v]]}var i,o=n(3),a=n(83),u=n(360),c=n(89),s=n(393),l=n(94),f={},p=!1,h=0,d={topAbort:\"abort\",topAnimationEnd:s(\"animationend\")||\"animationend\",topAnimationIteration:s(\"animationiteration\")||\"animationiteration\",topAnimationStart:s(\"animationstart\")||\"animationstart\",topBlur:\"blur\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topChange:\"change\",topClick:\"click\",topCompositionEnd:\"compositionend\",topCompositionStart:\"compositionstart\",topCompositionUpdate:\"compositionupdate\",topContextMenu:\"contextmenu\",topCopy:\"copy\",topCut:\"cut\",topDoubleClick:\"dblclick\",topDrag:\"drag\",topDragEnd:\"dragend\",topDragEnter:\"dragenter\",topDragExit:\"dragexit\",topDragLeave:\"dragleave\",topDragOver:\"dragover\",topDragStart:\"dragstart\",topDrop:\"drop\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topFocus:\"focus\",topInput:\"input\",topKeyDown:\"keydown\",topKeyPress:\"keypress\",topKeyUp:\"keyup\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topMouseDown:\"mousedown\",topMouseMove:\"mousemove\",topMouseOut:\"mouseout\",topMouseOver:\"mouseover\",topMouseUp:\"mouseup\",topPaste:\"paste\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topScroll:\"scroll\",topSeeked:\"seeked\",topSeeking:\"seeking\",topSelectionChange:\"selectionchange\",topStalled:\"stalled\",topSuspend:\"suspend\",topTextInput:\"textInput\",topTimeUpdate:\"timeupdate\",topTouchCancel:\"touchcancel\",topTouchEnd:\"touchend\",topTouchMove:\"touchmove\",topTouchStart:\"touchstart\",topTransitionEnd:s(\"transitionend\")||\"transitionend\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\",topWheel:\"wheel\"},v=\"_reactListenersID\"+String(Math.random()).slice(2),g=o({},u,{ReactEventListener:null,injection:{injectReactEventListener:function(t){t.setHandleTopLevel(g.handleTopLevel),g.ReactEventListener=t}},setEnabled:function(t){g.ReactEventListener&&g.ReactEventListener.setEnabled(t)},isEnabled:function(){return!(!g.ReactEventListener||!g.ReactEventListener.isEnabled())},listenTo:function(t,e){for(var n=e,i=r(n),o=a.registrationNameDependencies[t],u=0;u<o.length;u++){var c=o[u];i.hasOwnProperty(c)&&i[c]||(\"topWheel\"===c?l(\"wheel\")?g.ReactEventListener.trapBubbledEvent(\"topWheel\",\"wheel\",n):l(\"mousewheel\")?g.ReactEventListener.trapBubbledEvent(\"topWheel\",\"mousewheel\",n):g.ReactEventListener.trapBubbledEvent(\"topWheel\",\"DOMMouseScroll\",n):\"topScroll\"===c?l(\"scroll\",!0)?g.ReactEventListener.trapCapturedEvent(\"topScroll\",\"scroll\",n):g.ReactEventListener.trapBubbledEvent(\"topScroll\",\"scroll\",g.ReactEventListener.WINDOW_HANDLE):\"topFocus\"===c||\"topBlur\"===c?(l(\"focus\",!0)?(g.ReactEventListener.trapCapturedEvent(\"topFocus\",\"focus\",n),g.ReactEventListener.trapCapturedEvent(\"topBlur\",\"blur\",n)):l(\"focusin\")&&(g.ReactEventListener.trapBubbledEvent(\"topFocus\",\"focusin\",n),g.ReactEventListener.trapBubbledEvent(\"topBlur\",\"focusout\",n)),i.topBlur=!0,i.topFocus=!0):d.hasOwnProperty(c)&&g.ReactEventListener.trapBubbledEvent(c,d[c],n),i[c]=!0)}},trapBubbledEvent:function(t,e,n){return g.ReactEventListener.trapBubbledEvent(t,e,n)},trapCapturedEvent:function(t,e,n){return g.ReactEventListener.trapCapturedEvent(t,e,n)},supportsEventPageXY:function(){if(!document.createEvent)return!1;var t=document.createEvent(\"MouseEvent\");return null!=t&&\"pageX\"in t},ensureScrollValueMonitoring:function(){if(void 0===i&&(i=g.supportsEventPageXY()),!i&&!p){var t=c.refreshScrollValues;g.ReactEventListener.monitorScrollValue(t),p=!0}}});t.exports=g},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(25),o=n(89),a=n(92),u={screenX:null,screenY:null,clientX:null,clientY:null,ctrlKey:null,shiftKey:null,altKey:null,metaKey:null,getModifierState:a,button:function(t){var e=t.button;return\"which\"in t?e:2===e?2:4===e?1:0},buttons:null,relatedTarget:function(t){return t.relatedTarget||(t.fromElement===t.srcElement?t.toElement:t.fromElement)},pageX:function(t){return\"pageX\"in t?t.pageX:t.clientX+o.currentScrollLeft},pageY:function(t){return\"pageY\"in t?t.pageY:t.clientY+o.currentScrollTop}};i.augmentClass(r,u),t.exports=r},function(t,e,n){\"use strict\";var r=n(2),i=(n(0),{}),o={reinitializeTransaction:function(){this.transactionWrappers=this.getTransactionWrappers(),this.wrapperInitData?this.wrapperInitData.length=0:this.wrapperInitData=[],this._isInTransaction=!1},_isInTransaction:!1,getTransactionWrappers:null,isInTransaction:function(){return!!this._isInTransaction},perform:function(t,e,n,i,o,a,u,c){this.isInTransaction()?r(\"27\"):void 0;var s,l;try{this._isInTransaction=!0,s=!0,this.initializeAll(0),l=t.call(e,n,i,o,a,u,c),s=!1}finally{try{if(s)try{this.closeAll(0)}catch(t){}else this.closeAll(0)}finally{this._isInTransaction=!1}}return l},initializeAll:function(t){for(var e=this.transactionWrappers,n=t;n<e.length;n++){var r=e[n];try{this.wrapperInitData[n]=i,this.wrapperInitData[n]=r.initialize?r.initialize.call(this):null}finally{if(this.wrapperInitData[n]===i)try{this.initializeAll(n+1)}catch(t){}}}},closeAll:function(t){this.isInTransaction()?void 0:r(\"28\");for(var e=this.transactionWrappers,n=t;n<e.length;n++){var o,a=e[n],u=this.wrapperInitData[n];try{o=!0,u!==i&&a.close&&a.close.call(this,u),o=!1}finally{if(o)try{this.closeAll(n+1)}catch(t){}}}this.wrapperInitData.length=0}};t.exports=o},function(t,e,n){\"use strict\";function r(t){var e=\"\"+t,n=o.exec(e);if(!n)return e;var r,i=\"\",a=0,u=0;for(a=n.index;a<e.length;a++){switch(e.charCodeAt(a)){case 34:r=\"&quot;\";break;case 38:r=\"&amp;\";break;case 39:r=\"&#x27;\";break;case 60:r=\"&lt;\";break;case 62:r=\"&gt;\";break;default:continue}u!==a&&(i+=e.substring(u,a)),u=a+1,i+=r}return u!==a?i+e.substring(u,a):i}function i(t){return\"boolean\"==typeof t||\"number\"==typeof t?\"\"+t:r(t)}var o=/[\"'&<>]/;t.exports=i},function(t,e,n){\"use strict\";var r,i=n(6),o=n(82),a=/^[ \\r\\n\\t\\f]/,u=/<(!--|link|noscript|meta|script|style)[ \\r\\n\\t\\f\\/>]/,c=n(90),s=c(function(t,e){if(t.namespaceURI!==o.svg||\"innerHTML\"in t)t.innerHTML=e;else{r=r||document.createElement(\"div\"),r.innerHTML=\"<svg>\"+e+\"</svg>\";for(var n=r.firstChild;n.firstChild;)t.appendChild(n.firstChild)}});if(i.canUseDOM){var l=document.createElement(\"div\");l.innerHTML=\" \",\"\"===l.innerHTML&&(s=function(t,e){if(t.parentNode&&t.parentNode.replaceChild(t,t),a.test(e)||\"<\"===e[0]&&u.test(e)){t.innerHTML=String.fromCharCode(65279)+e;var n=t.firstChild;1===n.data.length?t.removeChild(n):n.deleteData(0,1)}else t.innerHTML=e}),l=null}t.exports=s},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0}),e.default={colors:{RdBu:[\"rgb(255, 13, 87)\",\"rgb(30, 136, 229)\"],GnPR:[\"rgb(24, 196, 93)\",\"rgb(124, 82, 255)\"],CyPU:[\"#0099C6\",\"#990099\"],PkYg:[\"#DD4477\",\"#66AA00\"],DrDb:[\"#B82E2E\",\"#316395\"],LpLb:[\"#994499\",\"#22AA99\"],YlDp:[\"#AAAA11\",\"#6633CC\"],OrId:[\"#E67300\",\"#3E0099\"]},gray:\"#777\"}},function(t,e,n){\"use strict\";var r=n(29);e.a=function(t,e,n){if(null==n&&(n=r.a),i=t.length){if((e=+e)<=0||i<2)return+n(t[0],0,t);if(e>=1)return+n(t[i-1],i-1,t);var i,o=(i-1)*e,a=Math.floor(o),u=+n(t[a],a,t),c=+n(t[a+1],a+1,t);return u+(c-u)*(o-a)}}},function(t,e,n){\"use strict\";function r(){}function i(t,e){var n=new r;if(t instanceof r)t.each(function(t,e){n.set(e,t)});else if(Array.isArray(t)){var i,o=-1,a=t.length;if(null==e)for(;++o<a;)n.set(o,t[o]);else for(;++o<a;)n.set(e(i=t[o],o,t),i)}else if(t)for(var u in t)n.set(u,t[u]);return n}n.d(e,\"b\",function(){return o});var o=\"$\";r.prototype=i.prototype={constructor:r,has:function(t){return o+t in this},get:function(t){return this[o+t]},set:function(t,e){return this[o+t]=e,this},remove:function(t){var e=o+t;return e in this&&delete this[e]},clear:function(){for(var t in this)t[0]===o&&delete this[t]},keys:function(){var t=[];for(var e in this)e[0]===o&&t.push(e.slice(1));return t},values:function(){var t=[];for(var e in this)e[0]===o&&t.push(this[e]);return t},entries:function(){var t=[];for(var e in this)e[0]===o&&t.push({key:e.slice(1),value:this[e]});return t},size:function(){var t=0;for(var e in this)e[0]===o&&++t;return t},empty:function(){for(var t in this)if(t[0]===o)return!1;return!0},each:function(t){for(var e in this)e[0]===o&&t(this[e],e.slice(1),this)}},e.a=i},function(t,e,n){\"use strict\";function r(){}function i(t){var e;return t=(t+\"\").trim().toLowerCase(),(e=x.exec(t))?(e=parseInt(e[1],16),new s(e>>8&15|e>>4&240,e>>4&15|240&e,(15&e)<<4|15&e,1)):(e=w.exec(t))?o(parseInt(e[1],16)):(e=C.exec(t))?new s(e[1],e[2],e[3],1):(e=M.exec(t))?new s(255*e[1]/100,255*e[2]/100,255*e[3]/100,1):(e=k.exec(t))?a(e[1],e[2],e[3],e[4]):(e=E.exec(t))?a(255*e[1]/100,255*e[2]/100,255*e[3]/100,e[4]):(e=T.exec(t))?l(e[1],e[2]/100,e[3]/100,1):(e=S.exec(t))?l(e[1],e[2]/100,e[3]/100,e[4]):P.hasOwnProperty(t)?o(P[t]):\"transparent\"===t?new s(NaN,NaN,NaN,0):null}function o(t){return new s(t>>16&255,t>>8&255,255&t,1)}function a(t,e,n,r){return r<=0&&(t=e=n=NaN),new s(t,e,n,r)}function u(t){return t instanceof r||(t=i(t)),t?(t=t.rgb(),new s(t.r,t.g,t.b,t.opacity)):new s}function c(t,e,n,r){return 1===arguments.length?u(t):new s(t,e,n,null==r?1:r)}function s(t,e,n,r){this.r=+t,this.g=+e,this.b=+n,this.opacity=+r}function l(t,e,n,r){return r<=0?t=e=n=NaN:n<=0||n>=1?t=e=NaN:e<=0&&(t=NaN),new h(t,e,n,r)}function f(t){if(t instanceof h)return new h(t.h,t.s,t.l,t.opacity);if(t instanceof r||(t=i(t)),!t)return new h;if(t instanceof h)return t;t=t.rgb();var e=t.r/255,n=t.g/255,o=t.b/255,a=Math.min(e,n,o),u=Math.max(e,n,o),c=NaN,s=u-a,l=(u+a)/2;return s?(c=e===u?(n-o)/s+6*(n<o):n===u?(o-e)/s+2:(e-n)/s+4,s/=l<.5?u+a:2-u-a,c*=60):s=l>0&&l<1?0:c,new h(c,s,l,t.opacity)}function p(t,e,n,r){return 1===arguments.length?f(t):new h(t,e,n,null==r?1:r)}function h(t,e,n,r){this.h=+t,this.s=+e,this.l=+n,this.opacity=+r}function d(t,e,n){return 255*(t<60?e+(n-e)*t/60:t<180?n:t<240?e+(n-e)*(240-t)/60:e)}var v=n(60);e.f=r,n.d(e,\"h\",function(){return g}),n.d(e,\"g\",function(){return m}),e.a=i,e.e=u,e.b=c,e.d=s,e.c=p;var g=.7,m=1/g,y=\"\\\\s*([+-]?\\\\d+)\\\\s*\",_=\"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)\\\\s*\",b=\"\\\\s*([+-]?\\\\d*\\\\.?\\\\d+(?:[eE][+-]?\\\\d+)?)%\\\\s*\",x=/^#([0-9a-f]{3})$/,w=/^#([0-9a-f]{6})$/,C=new RegExp(\"^rgb\\\\(\"+[y,y,y]+\"\\\\)$\"),M=new RegExp(\"^rgb\\\\(\"+[b,b,b]+\"\\\\)$\"),k=new RegExp(\"^rgba\\\\(\"+[y,y,y,_]+\"\\\\)$\"),E=new RegExp(\"^rgba\\\\(\"+[b,b,b,_]+\"\\\\)$\"),T=new RegExp(\"^hsl\\\\(\"+[_,b,b]+\"\\\\)$\"),S=new RegExp(\"^hsla\\\\(\"+[_,b,b,_]+\"\\\\)$\"),P={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074};n.i(v.a)(r,i,{displayable:function(){return this.rgb().displayable()},toString:function(){return this.rgb()+\"\"}}),n.i(v.a)(s,c,n.i(v.b)(r,{brighter:function(t){return t=null==t?m:Math.pow(m,t),new s(this.r*t,this.g*t,this.b*t,this.opacity)},darker:function(t){return t=null==t?g:Math.pow(g,t),new s(this.r*t,this.g*t,this.b*t,this.opacity)},rgb:function(){return this},displayable:function(){return 0<=this.r&&this.r<=255&&0<=this.g&&this.g<=255&&0<=this.b&&this.b<=255&&0<=this.opacity&&this.opacity<=1},toString:function(){var t=this.opacity;return t=isNaN(t)?1:Math.max(0,Math.min(1,t)),(1===t?\"rgb(\":\"rgba(\")+Math.max(0,Math.min(255,Math.round(this.r)||0))+\", \"+Math.max(0,Math.min(255,Math.round(this.g)||0))+\", \"+Math.max(0,Math.min(255,Math.round(this.b)||0))+(1===t?\")\":\", \"+t+\")\")}})),n.i(v.a)(h,p,n.i(v.b)(r,{brighter:function(t){return t=null==t?m:Math.pow(m,t),new h(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?g:Math.pow(g,t),new h(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=this.h%360+360*(this.h<0),e=isNaN(t)||isNaN(this.s)?0:this.s,n=this.l,r=n+(n<.5?n:1-n)*e,i=2*n-r;return new s(d(t>=240?t-240:t+120,i,r),d(t,i,r),d(t<120?t+240:t-120,i,r),this.opacity)},displayable:function(){return(0<=this.s&&this.s<=1||isNaN(this.s))&&0<=this.l&&this.l<=1&&0<=this.opacity&&this.opacity<=1}}))},function(t,e,n){\"use strict\";function r(t,e){var n=Object.create(t.prototype);for(var r in e)n[r]=e[r];return n}e.b=r,e.a=function(t,e,n){t.prototype=e.prototype=n,n.constructor=t}},function(t,e,n){\"use strict\";e.a=function(t,e){if((n=(t=e?t.toExponential(e-1):t.toExponential()).indexOf(\"e\"))<0)return null;var n,r=t.slice(0,n);return[r.length>1?r[0]+r.slice(2):r,+t.slice(n+1)]}},function(t,e,n){\"use strict\";function r(t,e,n,r,i){var o=t*t,a=o*t;return((1-3*t+3*o-a)*e+(4-6*o+3*a)*n+(1+3*t+3*o-3*a)*r+a*i)/6}e.b=r,e.a=function(t){var e=t.length-1;return function(n){var i=n<=0?n=0:n>=1?(n=1,e-1):Math.floor(n*e),o=t[i],a=t[i+1],u=i>0?t[i-1]:2*o-a,c=i<e-1?t[i+2]:2*a-o;return r((n-i/e)*e,u,o,a,c)}}},function(t,e,n){\"use strict\";var r=n(10),i=n(123),o=n(118),a=n(121),u=n(43),c=n(122),s=n(124),l=n(120);e.a=function(t,e){var f,p=typeof e;return null==e||\"boolean\"===p?n.i(l.a)(e):(\"number\"===p?u.a:\"string\"===p?(f=n.i(r.color)(e))?(e=f,i.a):s.a:e instanceof r.color?i.a:e instanceof Date?a.a:Array.isArray(e)?o.a:isNaN(e)?c.a:u.a)(t,e)}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(229);n.d(e,\"scaleBand\",function(){return r.a}),n.d(e,\"scalePoint\",function(){return r.b});var i=n(235);n.d(e,\"scaleIdentity\",function(){return i.a});var o=n(34);n.d(e,\"scaleLinear\",function(){return o.a});var a=n(236);n.d(e,\"scaleLog\",function(){return a.a});var u=n(127);n.d(e,\"scaleOrdinal\",function(){return u.a}),n.d(e,\"scaleImplicit\",function(){return u.b});var c=n(237);n.d(e,\"scalePow\",function(){return c.a}),n.d(e,\"scaleSqrt\",function(){return c.b});var s=n(238);n.d(e,\"scaleQuantile\",function(){return s.a});var l=n(239);n.d(e,\"scaleQuantize\",function(){return l.a});var f=n(242);n.d(e,\"scaleThreshold\",function(){return f.a});var p=n(128);n.d(e,\"scaleTime\",function(){return p.a});var h=n(244);n.d(e,\"scaleUtc\",function(){return h.a});var d=n(230);n.d(e,\"schemeCategory10\",function(){return d.a});var v=n(232);n.d(e,\"schemeCategory20b\",function(){return v.a});var g=n(233);n.d(e,\"schemeCategory20c\",function(){return g.a});var m=n(231);n.d(e,\"schemeCategory20\",function(){return m.a});var y=n(234);n.d(e,\"interpolateCubehelixDefault\",function(){return y.a});var _=n(240);n.d(e,\"interpolateRainbow\",function(){return _.a}),n.d(e,\"interpolateWarm\",function(){return _.b}),n.d(e,\"interpolateCool\",function(){return _.c});var b=n(245);n.d(e,\"interpolateViridis\",function(){return b.a}),n.d(e,\"interpolateMagma\",function(){return b.b}),n.d(e,\"interpolateInferno\",function(){return b.c}),n.d(e,\"interpolatePlasma\",function(){return b.d});var x=n(241);n.d(e,\"scaleSequential\",function(){return x.a})},function(t,e,n){\"use strict\";e.a=function(t){return function(){return t}}},function(t,e,n){\"use strict\";function r(t){return function(){var e=this.ownerDocument,n=this.namespaceURI;return n===a.b&&e.documentElement.namespaceURI===a.b?e.createElement(t):e.createElementNS(n,t)}}function i(t){return function(){return this.ownerDocument.createElementNS(t.space,t.local)}}var o=n(67),a=n(68);e.a=function(t){var e=n.i(o.a)(t);return(e.local?i:r)(e)}},function(t,e,n){\"use strict\";var r=n(68);e.a=function(t){var e=t+=\"\",n=e.indexOf(\":\");return n>=0&&\"xmlns\"!==(e=t.slice(0,n))&&(t=t.slice(n+1)),r.a.hasOwnProperty(e)?{space:r.a[e],local:t}:t}},function(t,e,n){\"use strict\";n.d(e,\"b\",function(){return r});var r=\"http://www.w3.org/1999/xhtml\";e.a={svg:\"http://www.w3.org/2000/svg\",xhtml:r,xlink:\"http://www.w3.org/1999/xlink\",xml:\"http://www.w3.org/XML/1998/namespace\",xmlns:\"http://www.w3.org/2000/xmlns/\"}},function(t,e,n){\"use strict\";e.a=function(t,e){var n=t.ownerSVGElement||t;if(n.createSVGPoint){var r=n.createSVGPoint();return r.x=e.clientX,r.y=e.clientY,r=r.matrixTransform(t.getScreenCTM().inverse()),[r.x,r.y]}var i=t.getBoundingClientRect();return[e.clientX-i.left-t.clientLeft,e.clientY-i.top-t.clientTop]}},function(t,e,n){\"use strict\";function r(t,e,n){return t=i(t,e,n),function(e){var n=e.relatedTarget;n&&(n===this||8&n.compareDocumentPosition(this))||t.call(this,e)}}function i(t,e,n){return function(r){var i=l;l=r;try{t.call(this,this.__data__,e,n)}finally{l=i}}}function o(t){return t.trim().split(/^|\\s+/).map(function(t){var e=\"\",n=t.indexOf(\".\");return n>=0&&(e=t.slice(n+1),t=t.slice(0,n)),{type:t,name:e}})}function a(t){return function(){var e=this.__on;if(e){for(var n,r=0,i=-1,o=e.length;r<o;++r)n=e[r],t.type&&n.type!==t.type||n.name!==t.name?e[++i]=n:this.removeEventListener(n.type,n.listener,n.capture);++i?e.length=i:delete this.__on}}}function u(t,e,n){var o=s.hasOwnProperty(t.type)?r:i;return function(r,i,a){var u,c=this.__on,s=o(e,i,a);if(c)for(var l=0,f=c.length;l<f;++l)if((u=c[l]).type===t.type&&u.name===t.name)return this.removeEventListener(u.type,u.listener,u.capture),this.addEventListener(u.type,u.listener=s,u.capture=n),void(u.value=e);this.addEventListener(t.type,s,n),u={type:t.type,name:t.name,value:e,listener:s,capture:n},c?c.push(u):this.__on=[u]}}function c(t,e,n,r){var i=l;t.sourceEvent=l,l=t;try{return e.apply(n,r)}finally{l=i}}n.d(e,\"a\",function(){return l}),e.b=c;var s={},l=null;if(\"undefined\"!=typeof document){var f=document.documentElement;\"onmouseenter\"in f||(s={mouseenter:\"mouseover\",mouseleave:\"mouseout\"})}e.c=function(t,e,n){var r,i,c=o(t+\"\"),s=c.length;{if(!(arguments.length<2)){for(l=e?u:a,null==n&&(n=!1),r=0;r<s;++r)this.each(l(c[r],e,n));return this}var l=this.node().__on;if(l)for(var f,p=0,h=l.length;p<h;++p)for(r=0,f=l[p];r<s;++r)if((i=c[r]).type===f.type&&i.name===f.name)return f.value}}},function(t,e,n){\"use strict\";function r(){}e.a=function(t){return null==t?r:function(){return this.querySelector(t)}}},function(t,e,n){\"use strict\";var r=n(70);e.a=function(){for(var t,e=r.a;t=e.sourceEvent;)e=t;return e}},function(t,e,n){\"use strict\";e.a=function(t){return t.ownerDocument&&t.ownerDocument.defaultView||t.document&&t||t.defaultView}},function(t,e,n){\"use strict\";function r(t,e,n){var r=t._x1,i=t._y1,a=t._x2,u=t._y2;if(t._l01_a>o.a){var c=2*t._l01_2a+3*t._l01_a*t._l12_a+t._l12_2a,s=3*t._l01_a*(t._l01_a+t._l12_a);r=(r*c-t._x0*t._l12_2a+t._x2*t._l01_2a)/s,i=(i*c-t._y0*t._l12_2a+t._y2*t._l01_2a)/s}if(t._l23_a>o.a){var l=2*t._l23_2a+3*t._l23_a*t._l12_a+t._l12_2a,f=3*t._l23_a*(t._l23_a+t._l12_a);a=(a*l+t._x1*t._l23_2a-e*t._l12_2a)/f,u=(u*l+t._y1*t._l23_2a-n*t._l12_2a)/f}t._context.bezierCurveTo(r,i,a,u,t._x2,t._y2)}function i(t,e){this._context=t,this._alpha=e}var o=n(35),a=n(47);e.b=r,i.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x2,this._y2);break;case 3:this.point(this._x2,this._y2)}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var n=this._x2-t,i=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(n*n+i*i,this._alpha))}switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3;default:r(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return e?new i(t,e):new a.b(t,0)}return n.alpha=function(e){return t(+e)},n}(.5)},function(t,e,n){\"use strict\";var r=n(44),i=n(19),o=n(48),a=n(139);e.a=function(){function t(t){var i,o,a,p=t.length,h=!1;for(null==s&&(f=l(a=n.i(r.a)())),i=0;i<=p;++i)!(i<p&&c(o=t[i],i,t))===h&&((h=!h)?f.lineStart():f.lineEnd()),h&&f.point(+e(o,i,t),+u(o,i,t));if(a)return f=null,a+\"\"||null}var e=a.a,u=a.b,c=n.i(i.a)(!0),s=null,l=o.a,f=null;return t.x=function(r){return arguments.length?(e=\"function\"==typeof r?r:n.i(i.a)(+r),t):e},t.y=function(e){return arguments.length?(u=\"function\"==typeof e?e:n.i(i.a)(+e),t):u},t.defined=function(e){return arguments.length?(c=\"function\"==typeof e?e:n.i(i.a)(!!e),t):c},t.curve=function(e){return arguments.length?(l=e,null!=s&&(f=l(s)),t):l},t.context=function(e){return arguments.length?(null==e?s=f=null:f=l(s=e),t):s},t}},function(t,e,n){\"use strict\";function r(t){for(var e,n=0,r=-1,i=t.length;++r<i;)(e=+t[r][1])&&(n+=e);return n}var i=n(37);e.b=r,e.a=function(t){var e=t.map(r);return n.i(i.a)(t).sort(function(t,n){return e[t]-e[n]})}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(78);n.d(e,\"timeFormatDefaultLocale\",function(){return r.a}),n.d(e,\"timeFormat\",function(){return r.b}),n.d(e,\"timeParse\",function(){return r.c}),n.d(e,\"utcFormat\",function(){return r.d}),n.d(e,\"utcParse\",function(){return r.e});var i=n(149);n.d(e,\"timeFormatLocale\",function(){return i.a});var o=n(148);n.d(e,\"isoFormat\",function(){return o.a});var a=n(303);n.d(e,\"isoParse\",function(){return a.a})},function(t,e,n){\"use strict\";function r(t){return o=n.i(i.a)(t),a=o.format,u=o.parse,c=o.utcFormat,s=o.utcParse,o}var i=n(149);n.d(e,\"b\",function(){return a}),n.d(e,\"c\",function(){return u}),n.d(e,\"d\",function(){return c}),n.d(e,\"e\",function(){return s}),e.a=r;var o,a,u,c,s;r({dateTime:\"%x, %X\",date:\"%-m/%-d/%Y\",time:\"%-I:%M:%S %p\",periods:[\"AM\",\"PM\"],days:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],shortDays:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],months:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],shortMonths:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"]})},function(t,e,n){\"use strict\";var r=(n(5),n(306));n.d(e,\"t\",function(){return r.a}),n.d(e,\"n\",function(){return r.a});var i=n(309);n.d(e,\"s\",function(){return i.a}),n.d(e,\"m\",function(){return i.a});var o=n(307);n.d(e,\"r\",function(){return o.a});var a=n(305);n.d(e,\"q\",function(){return a.a});var u=n(304);n.d(e,\"a\",function(){return u.a});var c=n(316);n.d(e,\"p\",function(){return c.a}),n.d(e,\"c\",function(){return c.a}),n.d(e,\"d\",function(){return c.b});var s=n(308);n.d(e,\"o\",function(){return s.a});var l=n(317);n.d(e,\"b\",function(){return l.a});var f=n(312);n.d(e,\"l\",function(){return f.a});var p=n(311);n.d(e,\"k\",function(){return p.a});var h=n(310);n.d(e,\"e\",function(){return h.a});var d=n(314);n.d(e,\"j\",function(){return d.a}),n.d(e,\"g\",function(){return d.a}),n.d(e,\"h\",function(){return d.b});var v=n(313);n.d(e,\"i\",function(){return v.a});var g=n(315);n.d(e,\"f\",function(){return g.a})},function(t,e,n){\"use strict\";function r(t,e){return t===e?0!==t||0!==e||1/t===1/e:t!==t&&e!==e}function i(t,e){if(r(t,e))return!0;if(\"object\"!=typeof t||null===t||\"object\"!=typeof e||null===e)return!1;var n=Object.keys(t),i=Object.keys(e);if(n.length!==i.length)return!1;for(var a=0;a<n.length;a++)if(!o.call(e,n[a])||!r(t[n[a]],e[n[a]]))return!1;return!0}var o=Object.prototype.hasOwnProperty;t.exports=i},function(t,e,n){\"use strict\";function r(t,e){return Array.isArray(e)&&(e=e[1]),e?e.nextSibling:t.firstChild}function i(t,e,n){l.insertTreeBefore(t,e,n)}function o(t,e,n){Array.isArray(e)?u(t,e[0],e[1],n):v(t,e,n)}function a(t,e){if(Array.isArray(e)){var n=e[1];e=e[0],c(t,e,n),t.removeChild(n)}t.removeChild(e)}function u(t,e,n,r){for(var i=e;;){var o=i.nextSibling;if(v(t,i,r),i===n)break;i=o}}function c(t,e,n){for(;;){var r=e.nextSibling;if(r===n)break;t.removeChild(r)}}function s(t,e,n){var r=t.parentNode,i=t.nextSibling;i===e?n&&v(r,document.createTextNode(n),i):n?(d(i,n),c(r,i,e)):c(r,t,e)}var l=n(20),f=n(336),p=(n(4),n(9),n(90)),h=n(55),d=n(171),v=p(function(t,e,n){t.insertBefore(e,n)}),g=f.dangerouslyReplaceNodeWithMarkup,m={dangerouslyReplaceNodeWithMarkup:g,replaceDelimitedText:s,processUpdates:function(t,e){for(var n=0;n<e.length;n++){var u=e[n];switch(u.type){case\"INSERT_MARKUP\":i(t,u.content,r(t,u.afterNode));break;case\"MOVE_EXISTING\":o(t,u.fromNode,r(t,u.afterNode));break;case\"SET_MARKUP\":h(t,u.content);break;case\"TEXT_CONTENT\":d(t,u.content);break;case\"REMOVE_NODE\":a(t,u.fromNode)}}}};t.exports=m},function(t,e,n){\"use strict\";var r={html:\"http://www.w3.org/1999/xhtml\",mathml:\"http://www.w3.org/1998/Math/MathML\",svg:\"http://www.w3.org/2000/svg\"};t.exports=r},function(t,e,n){\"use strict\";function r(){if(u)for(var t in c){var e=c[t],n=u.indexOf(t);if(n>-1?void 0:a(\"96\",t),!s.plugins[n]){e.extractEvents?void 0:a(\"97\",t),s.plugins[n]=e;var r=e.eventTypes;for(var o in r)i(r[o],e,o)?void 0:a(\"98\",o,t)}}}function i(t,e,n){s.eventNameDispatchConfigs.hasOwnProperty(n)?a(\"99\",n):void 0,s.eventNameDispatchConfigs[n]=t;var r=t.phasedRegistrationNames;if(r){for(var i in r)if(r.hasOwnProperty(i)){var u=r[i];o(u,e,n)}return!0}return!!t.registrationName&&(o(t.registrationName,e,n),!0)}function o(t,e,n){s.registrationNameModules[t]?a(\"100\",t):void 0,s.registrationNameModules[t]=e,s.registrationNameDependencies[t]=e.eventTypes[n].dependencies}var a=n(2),u=(n(0),null),c={},s={plugins:[],eventNameDispatchConfigs:{},registrationNameModules:{},registrationNameDependencies:{},possibleRegistrationNames:null,injectEventPluginOrder:function(t){\n",
       "u?a(\"101\"):void 0,u=Array.prototype.slice.call(t),r()},injectEventPluginsByName:function(t){var e=!1;for(var n in t)if(t.hasOwnProperty(n)){var i=t[n];c.hasOwnProperty(n)&&c[n]===i||(c[n]?a(\"102\",n):void 0,c[n]=i,e=!0)}e&&r()},getPluginModuleForEvent:function(t){var e=t.dispatchConfig;if(e.registrationName)return s.registrationNameModules[e.registrationName]||null;if(void 0!==e.phasedRegistrationNames){var n=e.phasedRegistrationNames;for(var r in n)if(n.hasOwnProperty(r)){var i=s.registrationNameModules[n[r]];if(i)return i}}return null},_resetEventPlugins:function(){u=null;for(var t in c)c.hasOwnProperty(t)&&delete c[t];s.plugins.length=0;var e=s.eventNameDispatchConfigs;for(var n in e)e.hasOwnProperty(n)&&delete e[n];var r=s.registrationNameModules;for(var i in r)r.hasOwnProperty(i)&&delete r[i]}};t.exports=s},function(t,e,n){\"use strict\";function r(t){var e=/[=:]/g,n={\"=\":\"=0\",\":\":\"=2\"},r=(\"\"+t).replace(e,function(t){return n[t]});return\"$\"+r}function i(t){var e=/(=0|=2)/g,n={\"=0\":\"=\",\"=2\":\":\"},r=\".\"===t[0]&&\"$\"===t[1]?t.substring(2):t.substring(1);return(\"\"+r).replace(e,function(t){return n[t]})}var o={escape:r,unescape:i};t.exports=o},function(t,e,n){\"use strict\";function r(t){null!=t.checkedLink&&null!=t.valueLink?u(\"87\"):void 0}function i(t){r(t),null!=t.value||null!=t.onChange?u(\"88\"):void 0}function o(t){r(t),null!=t.checked||null!=t.onChange?u(\"89\"):void 0}function a(t){if(t){var e=t.getName();if(e)return\" Check the render method of `\"+e+\"`.\"}return\"\"}var u=n(2),c=n(26),s=n(366),l=(n(0),n(1),{button:!0,checkbox:!0,image:!0,hidden:!0,radio:!0,reset:!0,submit:!0}),f={value:function(t,e,n){return!t[e]||l[t.type]||t.onChange||t.readOnly||t.disabled?null:new Error(\"You provided a `value` prop to a form field without an `onChange` handler. This will render a read-only field. If the field should be mutable use `defaultValue`. Otherwise, set either `onChange` or `readOnly`.\")},checked:function(t,e,n){return!t[e]||t.onChange||t.readOnly||t.disabled?null:new Error(\"You provided a `checked` prop to a form field without an `onChange` handler. This will render a read-only field. If the field should be mutable use `defaultChecked`. Otherwise, set either `onChange` or `readOnly`.\")},onChange:c.PropTypes.func},p={},h={checkPropTypes:function(t,e,n){for(var r in f){if(f.hasOwnProperty(r))var i=f[r](e,r,t,\"prop\",null,s);if(i instanceof Error&&!(i.message in p)){p[i.message]=!0;a(n)}}},getValue:function(t){return t.valueLink?(i(t),t.valueLink.value):t.value},getChecked:function(t){return t.checkedLink?(o(t),t.checkedLink.value):t.checked},executeOnChange:function(t,e){return t.valueLink?(i(t),t.valueLink.requestChange(e.target.value)):t.checkedLink?(o(t),t.checkedLink.requestChange(e.target.checked)):t.onChange?t.onChange.call(void 0,e):void 0}};t.exports=h},function(t,e,n){\"use strict\";var r=n(2),i=(n(0),!1),o={replaceNodeWithMarkup:null,processChildrenUpdates:null,injection:{injectEnvironment:function(t){i?r(\"104\"):void 0,o.replaceNodeWithMarkup=t.replaceNodeWithMarkup,o.processChildrenUpdates=t.processChildrenUpdates,i=!0}}};t.exports=o},function(t,e,n){\"use strict\";function r(t,e,n){try{e(n)}catch(t){null===i&&(i=t)}}var i=null,o={invokeGuardedCallback:r,invokeGuardedCallbackWithCatch:r,rethrowCaughtError:function(){if(i){var t=i;throw i=null,t}}};t.exports=o},function(t,e,n){\"use strict\";function r(t){c.enqueueUpdate(t)}function i(t){var e=typeof t;if(\"object\"!==e)return e;var n=t.constructor&&t.constructor.name||e,r=Object.keys(t);return r.length>0&&r.length<20?n+\" (keys: \"+r.join(\", \")+\")\":n}function o(t,e){var n=u.get(t);if(!n){return null}return n}var a=n(2),u=(n(15),n(40)),c=(n(9),n(11)),s=(n(0),n(1),{isMounted:function(t){var e=u.get(t);return!!e&&!!e._renderedComponent},enqueueCallback:function(t,e,n){s.validateCallback(e,n);var i=o(t);return i?(i._pendingCallbacks?i._pendingCallbacks.push(e):i._pendingCallbacks=[e],void r(i)):null},enqueueCallbackInternal:function(t,e){t._pendingCallbacks?t._pendingCallbacks.push(e):t._pendingCallbacks=[e],r(t)},enqueueForceUpdate:function(t){var e=o(t,\"forceUpdate\");e&&(e._pendingForceUpdate=!0,r(e))},enqueueReplaceState:function(t,e){var n=o(t,\"replaceState\");n&&(n._pendingStateQueue=[e],n._pendingReplaceState=!0,r(n))},enqueueSetState:function(t,e){var n=o(t,\"setState\");if(n){var i=n._pendingStateQueue||(n._pendingStateQueue=[]);i.push(e),r(n)}},enqueueElementInternal:function(t,e,n){t._pendingElement=e,t._context=n,r(t)},validateCallback:function(t,e){t&&\"function\"!=typeof t?a(\"122\",e,i(t)):void 0}});t.exports=s},function(t,e,n){\"use strict\";var r={currentScrollLeft:0,currentScrollTop:0,refreshScrollValues:function(t){r.currentScrollLeft=t.x,r.currentScrollTop=t.y}};t.exports=r},function(t,e,n){\"use strict\";var r=function(t){return\"undefined\"!=typeof MSApp&&MSApp.execUnsafeLocalFunction?function(e,n,r,i){MSApp.execUnsafeLocalFunction(function(){return t(e,n,r,i)})}:t};t.exports=r},function(t,e,n){\"use strict\";function r(t){var e,n=t.keyCode;return\"charCode\"in t?(e=t.charCode,0===e&&13===n&&(e=13)):e=n,e>=32||13===e?e:0}t.exports=r},function(t,e,n){\"use strict\";function r(t){var e=this,n=e.nativeEvent;if(n.getModifierState)return n.getModifierState(t);var r=o[t];return!!r&&!!n[r]}function i(t){return r}var o={Alt:\"altKey\",Control:\"ctrlKey\",Meta:\"metaKey\",Shift:\"shiftKey\"};t.exports=i},function(t,e,n){\"use strict\";function r(t){var e=t.target||t.srcElement||window;return e.correspondingUseElement&&(e=e.correspondingUseElement),3===e.nodeType?e.parentNode:e}t.exports=r},function(t,e,n){\"use strict\";/**\n",
       " * Checks if an event is supported in the current execution environment.\n",
       " *\n",
       " * NOTE: This will not work correctly for non-generic events such as `change`,\n",
       " * `reset`, `load`, `error`, and `select`.\n",
       " *\n",
       " * Borrows from Modernizr.\n",
       " *\n",
       " * @param {string} eventNameSuffix Event name, e.g. \"click\".\n",
       " * @param {?boolean} capture Check if the capture phase is supported.\n",
       " * @return {boolean} True if the event is supported.\n",
       " * @internal\n",
       " * @license Modernizr 3.0.0pre (Custom Build) | MIT\n",
       " */\n",
       "function r(t,e){if(!o.canUseDOM||e&&!(\"addEventListener\"in document))return!1;var n=\"on\"+t,r=n in document;if(!r){var a=document.createElement(\"div\");a.setAttribute(n,\"return;\"),r=\"function\"==typeof a[n]}return!r&&i&&\"wheel\"===t&&(r=document.implementation.hasFeature(\"Events.wheel\",\"3.0\")),r}var i,o=n(6);o.canUseDOM&&(i=document.implementation&&document.implementation.hasFeature&&document.implementation.hasFeature(\"\",\"\")!==!0),t.exports=r},function(t,e,n){\"use strict\";function r(t,e){var n=null===t||t===!1,r=null===e||e===!1;if(n||r)return n===r;var i=typeof t,o=typeof e;return\"string\"===i||\"number\"===i?\"string\"===o||\"number\"===o:\"object\"===o&&t.type===e.type&&t.key===e.key}t.exports=r},function(t,e,n){\"use strict\";var r=(n(3),n(8)),i=(n(1),r);t.exports=i},function(t,e,n){\"use strict\";function r(t,e,n){this.props=t,this.context=e,this.refs=a,this.updater=n||o}var i=n(28),o=n(98),a=(n(176),n(38));n(0),n(1);r.prototype.isReactComponent={},r.prototype.setState=function(t,e){\"object\"!=typeof t&&\"function\"!=typeof t&&null!=t?i(\"85\"):void 0,this.updater.enqueueSetState(this,t),e&&this.updater.enqueueCallback(this,e,\"setState\")},r.prototype.forceUpdate=function(t){this.updater.enqueueForceUpdate(this),t&&this.updater.enqueueCallback(this,t,\"forceUpdate\")};t.exports=r},function(t,e,n){\"use strict\";function r(t,e){}var i=(n(1),{isMounted:function(t){return!1},enqueueCallback:function(t,e){},enqueueForceUpdate:function(t){r(t,\"forceUpdate\")},enqueueReplaceState:function(t,e){r(t,\"replaceState\")},enqueueSetState:function(t,e){r(t,\"setState\")}});t.exports=i},function(t,e){var n;n=function(){return this}();try{n=n||Function(\"return this\")()||(0,eval)(\"this\")}catch(t){\"object\"==typeof window&&(n=window)}t.exports=n},function(t,e){t.exports=function(t){return t.webpackPolyfill||(t.deprecate=function(){},t.paths=[],t.children||(t.children=[]),Object.defineProperty(t,\"loaded\",{enumerable:!0,get:function(){return t.l}}),Object.defineProperty(t,\"id\",{enumerable:!0,get:function(){return t.i}}),t.webpackPolyfill=1),t}},function(t,e,n){\"use strict\";n.d(e,\"b\",function(){return i}),n.d(e,\"a\",function(){return o});var r=Array.prototype,i=r.slice,o=r.map},function(t,e,n){\"use strict\";var r=n(18),i=n(103),o=n.i(i.a)(r.a),a=o.right;o.left;e.a=a},function(t,e,n){\"use strict\";function r(t){return function(e,r){return n.i(i.a)(t(e),r)}}var i=n(18);e.a=function(t){return 1===t.length&&(t=r(t)),{left:function(e,n,r,i){for(null==r&&(r=0),null==i&&(i=e.length);r<i;){var o=r+i>>>1;t(e[o],n)<0?r=o+1:i=o}return r},right:function(e,n,r,i){for(null==r&&(r=0),null==i&&(i=e.length);r<i;){var o=r+i>>>1;t(e[o],n)>0?i=o:r=o+1}return r}}}},function(t,e,n){\"use strict\";var r=n(111);e.a=function(t,e){var i=n.i(r.a)(t,e);return i?Math.sqrt(i):i}},function(t,e,n){\"use strict\";e.a=function(t,e){var n,r,i,o=-1,a=t.length;if(null==e){for(;++o<a;)if(null!=(r=t[o])&&r>=r){n=i=r;break}for(;++o<a;)null!=(r=t[o])&&(n>r&&(n=r),i<r&&(i=r))}else{for(;++o<a;)if(null!=(r=e(t[o],o,t))&&r>=r){n=i=r;break}for(;++o<a;)null!=(r=e(t[o],o,t))&&(n>r&&(n=r),i<r&&(i=r))}return[n,i]}},function(t,e,n){\"use strict\";e.a=function(t,e){var n,r,i=-1,o=t.length;if(null==e){for(;++i<o;)if(null!=(r=t[i])&&r>=r){n=r;break}for(;++i<o;)null!=(r=t[i])&&n>r&&(n=r)}else{for(;++i<o;)if(null!=(r=e(t[i],i,t))&&r>=r){n=r;break}for(;++i<o;)null!=(r=e(t[i],i,t))&&n>r&&(n=r)}return n}},function(t,e,n){\"use strict\";e.a=function(t,e,n){t=+t,e=+e,n=(i=arguments.length)<2?(e=t,t=0,1):i<3?1:+n;for(var r=-1,i=0|Math.max(0,Math.ceil((e-t)/n)),o=new Array(i);++r<i;)o[r]=t+r*n;return o}},function(t,e,n){\"use strict\";e.a=function(t){return Math.ceil(Math.log(t.length)/Math.LN2)+1}},function(t,e,n){\"use strict\";function r(t,e,n){var r=Math.abs(e-t)/Math.max(0,n),i=Math.pow(10,Math.floor(Math.log(r)/Math.LN10)),c=r/i;return c>=o?i*=10:c>=a?i*=5:c>=u&&(i*=2),e<t?-i:i}var i=n(107);e.b=r;var o=Math.sqrt(50),a=Math.sqrt(10),u=Math.sqrt(2);e.a=function(t,e,o){var a=r(t,e,o);return n.i(i.a)(Math.ceil(t/a)*a,Math.floor(e/a)*a+a/2,a)}},function(t,e,n){\"use strict\";function r(t){return t.length}var i=n(106);e.a=function(t){if(!(u=t.length))return[];for(var e=-1,o=n.i(i.a)(t,r),a=new Array(o);++e<o;)for(var u,c=-1,s=a[e]=new Array(u);++c<u;)s[c]=t[c][e];return a}},function(t,e,n){\"use strict\";var r=n(29);e.a=function(t,e){var i,o,a=t.length,u=0,c=0,s=-1,l=0;if(null==e)for(;++s<a;)isNaN(i=n.i(r.a)(t[s]))||(o=i-u,u+=o/++l,c+=o*(i-u));else for(;++s<a;)isNaN(i=n.i(r.a)(e(t[s],s,t)))||(o=i-u,u+=o/++l,c+=o*(i-u));if(l>1)return c/(l-1)}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(201);n.d(e,\"axisTop\",function(){return r.a}),n.d(e,\"axisRight\",function(){return r.b}),n.d(e,\"axisBottom\",function(){return r.c}),n.d(e,\"axisLeft\",function(){return r.d})},function(t,e,n){\"use strict\";n.d(e,\"b\",function(){return r}),n.d(e,\"a\",function(){return i});var r=Math.PI/180,i=180/Math.PI},function(t,e,n){\"use strict\";var r=n(61);n.d(e,\"b\",function(){return i});var i;e.a=function(t,e){var o=n.i(r.a)(t,e);if(!o)return t+\"\";var a=o[0],u=o[1],c=u-(i=3*Math.max(-8,Math.min(8,Math.floor(u/3))))+1,s=a.length;return c===s?a:c>s?a+new Array(c-s+1).join(\"0\"):c>0?a.slice(0,c)+\".\"+a.slice(c):\"0.\"+new Array(1-c).join(\"0\")+n.i(r.a)(t,Math.max(0,e+c-1))[0]}},function(t,e,n){\"use strict\";function r(t){if(!(e=o.exec(t)))throw new Error(\"invalid format: \"+t);var e,n=e[1]||\" \",r=e[2]||\">\",a=e[3]||\"-\",u=e[4]||\"\",c=!!e[5],s=e[6]&&+e[6],l=!!e[7],f=e[8]&&+e[8].slice(1),p=e[9]||\"\";\"n\"===p?(l=!0,p=\"g\"):i.a[p]||(p=\"\"),(c||\"0\"===n&&\"=\"===r)&&(c=!0,n=\"0\",r=\"=\"),this.fill=n,this.align=r,this.sign=a,this.symbol=u,this.zero=c,this.width=s,this.comma=l,this.precision=f,this.type=p}var i=n(116),o=/^(?:(.)?([<>=^]))?([+\\-\\( ])?([$#])?(0)?(\\d+)?(,)?(\\.\\d+)?([a-z%])?$/i;e.a=function(t){return new r(t)},r.prototype.toString=function(){return this.fill+this.align+this.sign+this.symbol+(this.zero?\"0\":\"\")+(null==this.width?\"\":Math.max(1,0|this.width))+(this.comma?\",\":\"\")+(null==this.precision?\"\":\".\"+Math.max(0,0|this.precision))+this.type}},function(t,e,n){\"use strict\";var r=n(212),i=n(114),o=n(214);e.a={\"\":r.a,\"%\":function(t,e){return(100*t).toFixed(e)},b:function(t){return Math.round(t).toString(2)},c:function(t){return t+\"\"},d:function(t){return Math.round(t).toString(10)},e:function(t,e){return t.toExponential(e)},f:function(t,e){return t.toFixed(e)},g:function(t,e){return t.toPrecision(e)},o:function(t){return Math.round(t).toString(8)},p:function(t,e){return n.i(o.a)(100*t,e)},r:o.a,s:i.a,X:function(t){return Math.round(t).toString(16).toUpperCase()},x:function(t){return Math.round(t).toString(16)}}},function(t,e,n){\"use strict\";function r(t){return t}var i=n(42),o=n(213),a=n(115),u=n(116),c=n(114),s=[\"y\",\"z\",\"a\",\"f\",\"p\",\"n\",\"µ\",\"m\",\"\",\"k\",\"M\",\"G\",\"T\",\"P\",\"E\",\"Z\",\"Y\"];e.a=function(t){function e(t){function e(t){var e,n,a,u=_,l=b;if(\"c\"===y)l=x(t)+l,t=\"\";else{t=+t;var p=(t<0||1/t<0)&&(t*=-1,!0);if(t=x(t,m),p)for(e=-1,n=t.length,p=!1;++e<n;)if(a=t.charCodeAt(e),48<a&&a<58||\"x\"===y&&96<a&&a<103||\"X\"===y&&64<a&&a<71){p=!0;break}if(u=(p?\"(\"===o?o:\"-\":\"-\"===o||\"(\"===o?\"\":o)+u,l=l+(\"s\"===y?s[8+c.b/3]:\"\")+(p&&\"(\"===o?\")\":\"\"),w)for(e=-1,n=t.length;++e<n;)if(a=t.charCodeAt(e),48>a||a>57){l=(46===a?h+t.slice(e+1):t.slice(e))+l,t=t.slice(0,e);break}}g&&!d&&(t=f(t,1/0));var C=u.length+t.length+l.length,M=C<v?new Array(v-C+1).join(r):\"\";switch(g&&d&&(t=f(M+t,M.length?v-l.length:1/0),M=\"\"),i){case\"<\":return u+t+l+M;case\"=\":return u+M+t+l;case\"^\":return M.slice(0,C=M.length>>1)+u+t+l+M.slice(C)}return M+u+t+l}t=n.i(a.a)(t);var r=t.fill,i=t.align,o=t.sign,l=t.symbol,d=t.zero,v=t.width,g=t.comma,m=t.precision,y=t.type,_=\"$\"===l?p[0]:\"#\"===l&&/[boxX]/.test(y)?\"0\"+y.toLowerCase():\"\",b=\"$\"===l?p[1]:/[%p]/.test(y)?\"%\":\"\",x=u.a[y],w=!y||/[defgprs%]/.test(y);return m=null==m?y?6:12:/[gprs]/.test(y)?Math.max(1,Math.min(21,m)):Math.max(0,Math.min(20,m)),e.toString=function(){return t+\"\"},e}function l(t,r){var o=e((t=n.i(a.a)(t),t.type=\"f\",t)),u=3*Math.max(-8,Math.min(8,Math.floor(n.i(i.a)(r)/3))),c=Math.pow(10,-u),l=s[8+u/3];return function(t){return o(c*t)+l}}var f=t.grouping&&t.thousands?n.i(o.a)(t.grouping,t.thousands):r,p=t.currency,h=t.decimal;return{format:e,formatPrefix:l}}},function(t,e,n){\"use strict\";var r=n(63);e.a=function(t,e){var i,o=e?e.length:0,a=t?Math.min(o,t.length):0,u=new Array(o),c=new Array(o);for(i=0;i<a;++i)u[i]=n.i(r.a)(t[i],e[i]);for(;i<o;++i)c[i]=e[i];return function(t){for(i=0;i<a;++i)c[i]=u[i](t);return c}}},function(t,e,n){\"use strict\";var r=n(62);e.a=function(t){var e=t.length;return function(i){var o=Math.floor(((i%=1)<0?++i:i)*e),a=t[(o+e-1)%e],u=t[o%e],c=t[(o+1)%e],s=t[(o+2)%e];return n.i(r.b)((i-o/e)*e,a,u,c,s)}}},function(t,e,n){\"use strict\";e.a=function(t){return function(){return t}}},function(t,e,n){\"use strict\";e.a=function(t,e){var n=new Date;return t=+t,e-=t,function(r){return n.setTime(t+e*r),n}}},function(t,e,n){\"use strict\";var r=n(63);e.a=function(t,e){var i,o={},a={};null!==t&&\"object\"==typeof t||(t={}),null!==e&&\"object\"==typeof e||(e={});for(i in e)i in t?o[i]=n.i(r.a)(t[i],e[i]):a[i]=e[i];return function(t){for(i in o)a[i]=o[i](t);return a}}},function(t,e,n){\"use strict\";function r(t){return function(e){var r,o,a=e.length,u=new Array(a),c=new Array(a),s=new Array(a);for(r=0;r<a;++r)o=n.i(i.rgb)(e[r]),u[r]=o.r||0,c[r]=o.g||0,s[r]=o.b||0;return u=t(u),c=t(c),s=t(s),o.opacity=1,function(t){return o.r=u(t),o.g=c(t),o.b=s(t),o+\"\"}}}var i=n(10),o=n(62),a=n(119),u=n(32);e.a=function t(e){function r(t,e){var r=o((t=n.i(i.rgb)(t)).r,(e=n.i(i.rgb)(e)).r),a=o(t.g,e.g),c=o(t.b,e.b),s=n.i(u.a)(t.opacity,e.opacity);return function(e){return t.r=r(e),t.g=a(e),t.b=c(e),t.opacity=s(e),t+\"\"}}var o=n.i(u.c)(e);return r.gamma=t,r}(1);r(o.a),r(a.a)},function(t,e,n){\"use strict\";function r(t){return function(){return t}}function i(t){return function(e){return t(e)+\"\"}}var o=n(43),a=/[-+]?(?:\\d+\\.?\\d*|\\.?\\d+)(?:[eE][-+]?\\d+)?/g,u=new RegExp(a.source,\"g\");e.a=function(t,e){var c,s,l,f=a.lastIndex=u.lastIndex=0,p=-1,h=[],d=[];for(t+=\"\",e+=\"\";(c=a.exec(t))&&(s=u.exec(e));)(l=s.index)>f&&(l=e.slice(f,l),h[p]?h[p]+=l:h[++p]=l),(c=c[0])===(s=s[0])?h[p]?h[p]+=s:h[++p]=s:(h[++p]=null,d.push({i:p,x:n.i(o.a)(c,s)})),f=u.lastIndex;return f<e.length&&(l=e.slice(f),h[p]?h[p]+=l:h[++p]=l),h.length<2?d[0]?i(d[0].x):r(e):(e=d.length,function(t){for(var n,r=0;r<e;++r)h[(n=d[r]).i]=n.x(t);return h.join(\"\")})}},function(t,e,n){\"use strict\";e.a=function(t,e){t=t.slice();var n,r=0,i=t.length-1,o=t[r],a=t[i];return a<o&&(n=r,r=i,i=n,n=o,o=a,a=n),t[r]=e.floor(o),t[i]=e.ceil(a),t}},function(t,e,n){\"use strict\";e.a=function(t){return+t}},function(t,e,n){\"use strict\";function r(t){function e(e){var n=e+\"\",r=u.get(n);if(!r){if(s!==a)return s;u.set(n,r=c.push(e))}return t[(r-1)%t.length]}var u=n.i(i.a)(),c=[],s=a;return t=null==t?[]:o.b.call(t),e.domain=function(t){if(!arguments.length)return c.slice();c=[],u=n.i(i.a)();for(var r,o,a=-1,s=t.length;++a<s;)u.has(o=(r=t[a])+\"\")||u.set(o,c.push(r));return e},e.range=function(n){return arguments.length?(t=o.b.call(n),e):t.slice()},e.unknown=function(t){return arguments.length?(s=t,e):s},e.copy=function(){return r().domain(c).range(t).unknown(s)},e}var i=n(203),o=n(16);n.d(e,\"b\",function(){return a}),e.a=r;var a={name:\"implicit\"}},function(t,e,n){\"use strict\";function r(t){return new Date(t)}function i(t){return t instanceof Date?+t:+new Date(+t)}function o(t,e,c,s,b,x,w,C,M){function k(n){return(w(n)<n?N:x(n)<n?A:b(n)<n?O:s(n)<n?I:e(n)<n?c(n)<n?D:R:t(n)<n?L:U)(n)}function E(e,r,i,o){if(null==e&&(e=10),\"number\"==typeof e){var u=Math.abs(i-r)/e,c=n.i(a.d)(function(t){return t[2]}).right(F,u);c===F.length?(o=n.i(a.b)(r/_,i/_,e),e=t):c?(c=F[u/F[c-1][2]<F[c][2]/u?c-1:c],o=c[1],e=c[0]):(o=n.i(a.b)(r,i,e),e=C)}return null==o?e:e.every(o)}var T=n.i(f.a)(f.b,u.a),S=T.invert,P=T.domain,N=M(\".%L\"),A=M(\":%S\"),O=M(\"%I:%M\"),I=M(\"%I %p\"),D=M(\"%a %d\"),R=M(\"%b %d\"),L=M(\"%B\"),U=M(\"%Y\"),F=[[w,1,h],[w,5,5*h],[w,15,15*h],[w,30,30*h],[x,1,d],[x,5,5*d],[x,15,15*d],[x,30,30*d],[b,1,v],[b,3,3*v],[b,6,6*v],[b,12,12*v],[s,1,g],[s,2,2*g],[c,1,m],[e,1,y],[e,3,3*y],[t,1,_]];return T.invert=function(t){return new Date(S(t))},T.domain=function(t){return arguments.length?P(l.a.call(t,i)):P().map(r)},T.ticks=function(t,e){var n,r=P(),i=r[0],o=r[r.length-1],a=o<i;return a&&(n=i,i=o,o=n),n=E(t,i,o,e),n=n?n.range(i,o+1):[],a?n.reverse():n},T.tickFormat=function(t,e){return null==e?k:M(e)},T.nice=function(t,e){var r=P();return(t=E(t,r[0],r[r.length-1],e))?P(n.i(p.a)(r,t)):T},T.copy=function(){return n.i(f.c)(T,o(t,e,c,s,b,x,w,C,M))},T}var a=n(12),u=n(31),c=n(79),s=n(77),l=n(16),f=n(45),p=n(125);e.b=o;var h=1e3,d=60*h,v=60*d,g=24*v,m=7*g,y=30*g,_=365*g;e.a=function(){return o(c.b,c.o,c.p,c.a,c.q,c.r,c.s,c.t,s.timeFormat).domain([new Date(2e3,0,1),new Date(2e3,0,2)])}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(66);n.d(e,\"creator\",function(){return r.a});var i=n(247);n.d(e,\"local\",function(){return i.a});var o=n(130);n.d(e,\"matcher\",function(){return o.a});var a=n(248);n.d(e,\"mouse\",function(){return a.a});var u=n(67);n.d(e,\"namespace\",function(){return u.a});var c=n(68);n.d(e,\"namespaces\",function(){return c.a});var s=n(249);n.d(e,\"select\",function(){return s.a});var l=n(250);n.d(e,\"selectAll\",function(){return l.a});var f=n(7);n.d(e,\"selection\",function(){return f.a});var p=n(71);n.d(e,\"selector\",function(){return p.a});var h=n(133);n.d(e,\"selectorAll\",function(){return h.a});var d=n(278);n.d(e,\"touch\",function(){return d.a});var v=n(279);n.d(e,\"touches\",function(){return v.a});var g=n(73);n.d(e,\"window\",function(){return g.a});var m=n(70);n.d(e,\"event\",function(){return m.a}),n.d(e,\"customEvent\",function(){return m.b})},function(t,e,n){\"use strict\";var r=function(t){return function(){return this.matches(t)}};if(\"undefined\"!=typeof document){var i=document.documentElement;if(!i.matches){var o=i.webkitMatchesSelector||i.msMatchesSelector||i.mozMatchesSelector||i.oMatchesSelector;r=function(t){return function(){return o.call(this,t)}}}}e.a=r},function(t,e,n){\"use strict\";function r(t,e){this.ownerDocument=t.ownerDocument,this.namespaceURI=t.namespaceURI,this._next=null,this._parent=t,this.__data__=e}var i=n(132),o=n(7);e.b=r,e.a=function(){return new o.b(this._enter||this._groups.map(i.a),this._parents)},r.prototype={constructor:r,appendChild:function(t){return this._parent.insertBefore(t,this._next)},insertBefore:function(t,e){return this._parent.insertBefore(t,e)},querySelector:function(t){return this._parent.querySelector(t)},querySelectorAll:function(t){return this._parent.querySelectorAll(t)}}},function(t,e,n){\"use strict\";e.a=function(t){return new Array(t.length)}},function(t,e,n){\"use strict\";function r(){return[]}e.a=function(t){return null==t?r:function(){return this.querySelectorAll(t)}}},function(t,e,n){\"use strict\";Object.defineProperty(e,\"__esModule\",{value:!0});var r=n(280);n.d(e,\"arc\",function(){return r.a});var i=n(135);n.d(e,\"area\",function(){return i.a});var o=n(75);n.d(e,\"line\",function(){return o.a});var a=n(299);n.d(e,\"pie\",function(){return a.a});var u=n(300);n.d(e,\"radialArea\",function(){return u.a});var c=n(140);n.d(e,\"radialLine\",function(){return c.a});var s=n(302);n.d(e,\"symbol\",function(){return s.a}),n.d(e,\"symbols\",function(){return s.b});var l=n(141);n.d(e,\"symbolCircle\",function(){return l.a});var f=n(142);n.d(e,\"symbolCross\",function(){return f.a});var p=n(143);n.d(e,\"symbolDiamond\",function(){return p.a});var h=n(144);n.d(e,\"symbolSquare\",function(){return h.a});var d=n(145);n.d(e,\"symbolStar\",function(){return d.a});var v=n(146);n.d(e,\"symbolTriangle\",function(){return v.a});var g=n(147);n.d(e,\"symbolWye\",function(){return g.a});var m=n(282);n.d(e,\"curveBasisClosed\",function(){return m.a});var y=n(283);n.d(e,\"curveBasisOpen\",function(){return y.a});var _=n(46);n.d(e,\"curveBasis\",function(){return _.a});var b=n(284);n.d(e,\"curveBundle\",function(){return b.a});var x=n(136);n.d(e,\"curveCardinalClosed\",function(){return x.a});var w=n(137);n.d(e,\"curveCardinalOpen\",function(){return w.a});var C=n(47);n.d(e,\"curveCardinal\",function(){return C.a});var M=n(285);n.d(e,\"curveCatmullRomClosed\",function(){return M.a});var k=n(286);n.d(e,\"curveCatmullRomOpen\",function(){return k.a});var E=n(74);n.d(e,\"curveCatmullRom\",function(){return E.a});var T=n(287);n.d(e,\"curveLinearClosed\",function(){return T.a});var S=n(48);n.d(e,\"curveLinear\",function(){return S.a});var P=n(288);n.d(e,\"curveMonotoneX\",function(){return P.a}),n.d(e,\"curveMonotoneY\",function(){return P.b});var N=n(289);n.d(e,\"curveNatural\",function(){return N.a});var A=n(290);n.d(e,\"curveStep\",function(){return A.a}),n.d(e,\"curveStepAfter\",function(){return A.b}),n.d(e,\"curveStepBefore\",function(){return A.c});var O=n(301);n.d(e,\"stack\",function(){return O.a});var I=n(293);n.d(e,\"stackOffsetExpand\",function(){return I.a});var D=n(36);n.d(e,\"stackOffsetNone\",function(){return D.a});var R=n(294);n.d(e,\"stackOffsetSilhouette\",function(){return R.a});var L=n(295);n.d(e,\"stackOffsetWiggle\",function(){return L.a});var U=n(76);n.d(e,\"stackOrderAscending\",function(){return U.a});var F=n(296);n.d(e,\"stackOrderDescending\",function(){return F.a});var j=n(297);n.d(e,\"stackOrderInsideOut\",function(){return j.a});var B=n(37);n.d(e,\"stackOrderNone\",function(){return B.a});var W=n(298);n.d(e,\"stackOrderReverse\",function(){return W.a})},function(t,e,n){\"use strict\";var r=n(44),i=n(19),o=n(48),a=n(75),u=n(139);e.a=function(){function t(t){var e,i,o,a,u,g=t.length,m=!1,y=new Array(g),_=new Array(g);for(null==h&&(v=d(u=n.i(r.a)())),e=0;e<=g;++e){if(!(e<g&&p(a=t[e],e,t))===m)if(m=!m)i=e,v.areaStart(),v.lineStart();else{for(v.lineEnd(),v.lineStart(),o=e-1;o>=i;--o)v.point(y[o],_[o]);v.lineEnd(),v.areaEnd()}m&&(y[e]=+c(a,e,t),_[e]=+l(a,e,t),v.point(s?+s(a,e,t):y[e],f?+f(a,e,t):_[e]))}if(u)return v=null,u+\"\"||null}function e(){return n.i(a.a)().defined(p).curve(d).context(h)}var c=u.a,s=null,l=n.i(i.a)(0),f=u.b,p=n.i(i.a)(!0),h=null,d=o.a,v=null;return t.x=function(e){return arguments.length?(c=\"function\"==typeof e?e:n.i(i.a)(+e),s=null,t):c},t.x0=function(e){return arguments.length?(c=\"function\"==typeof e?e:n.i(i.a)(+e),t):c},t.x1=function(e){return arguments.length?(s=null==e?null:\"function\"==typeof e?e:n.i(i.a)(+e),t):s},t.y=function(e){return arguments.length?(l=\"function\"==typeof e?e:n.i(i.a)(+e),f=null,t):l},t.y0=function(e){return arguments.length?(l=\"function\"==typeof e?e:n.i(i.a)(+e),t):l},t.y1=function(e){return arguments.length?(f=null==e?null:\"function\"==typeof e?e:n.i(i.a)(+e),t):f},t.lineX0=t.lineY0=function(){return e().x(c).y(l)},t.lineY1=function(){return e().x(c).y(f)},t.lineX1=function(){return e().x(s).y(l)},t.defined=function(e){return arguments.length?(p=\"function\"==typeof e?e:n.i(i.a)(!!e),t):p},t.curve=function(e){return arguments.length?(d=e,null!=h&&(v=d(h)),t):d},t.context=function(e){return arguments.length?(null==e?h=v=null:v=d(h=e),t):h},t}},function(t,e,n){\"use strict\";function r(t,e){this._context=t,this._k=(1-e)/6}var i=n(49),o=n(47);e.b=r,r.prototype={areaStart:i.a,areaEnd:i.a,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:n.i(o.c)(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return new r(t,e)}return n.tension=function(e){return t(+e)},n}(0)},function(t,e,n){\"use strict\";function r(t,e){this._context=t,this._k=(1-e)/6}var i=n(47);e.b=r,r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:n.i(i.c)(this,t,e)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return new r(t,e)}return n.tension=function(e){return t(+e)},n}(0)},function(t,e,n){\"use strict\";function r(t){this._curve=t}function i(t){function e(e){return new r(t(e))}return e._curve=t,e}var o=n(48);n.d(e,\"b\",function(){return a}),e.a=i;var a=i(o.a);r.prototype={areaStart:function(){this._curve.areaStart()},areaEnd:function(){this._curve.areaEnd()},lineStart:function(){this._curve.lineStart()},lineEnd:function(){this._curve.lineEnd()},point:function(t,e){this._curve.point(e*Math.sin(t),e*-Math.cos(t))}}},function(t,e,n){\"use strict\";function r(t){return t[0]}function i(t){return t[1]}e.a=r,e.b=i},function(t,e,n){\"use strict\";function r(t){var e=t.curve;return t.angle=t.x,delete t.x,t.radius=t.y,delete t.y,t.curve=function(t){return arguments.length?e(n.i(i.a)(t)):e()._curve},t}var i=n(138),o=n(75);e.b=r,e.a=function(){return r(n.i(o.a)().curve(i.b))}},function(t,e,n){\"use strict\";var r=n(35);e.a={draw:function(t,e){var n=Math.sqrt(e/r.b);t.moveTo(n,0),t.arc(0,0,n,0,r.c)}}},function(t,e,n){\"use strict\";e.a={draw:function(t,e){var n=Math.sqrt(e/5)/2;t.moveTo(-3*n,-n),t.lineTo(-n,-n),t.lineTo(-n,-3*n),t.lineTo(n,-3*n),t.lineTo(n,-n),t.lineTo(3*n,-n),t.lineTo(3*n,n),t.lineTo(n,n),t.lineTo(n,3*n),t.lineTo(-n,3*n),t.lineTo(-n,n),t.lineTo(-3*n,n),t.closePath()}}},function(t,e,n){\"use strict\";var r=Math.sqrt(1/3),i=2*r;e.a={draw:function(t,e){var n=Math.sqrt(e/i),o=n*r;t.moveTo(0,-n),t.lineTo(o,0),t.lineTo(0,n),t.lineTo(-o,0),t.closePath()}}},function(t,e,n){\"use strict\";e.a={draw:function(t,e){var n=Math.sqrt(e),r=-n/2;t.rect(r,r,n,n)}}},function(t,e,n){\"use strict\";var r=n(35),i=.8908130915292852,o=Math.sin(r.b/10)/Math.sin(7*r.b/10),a=Math.sin(r.c/10)*o,u=-Math.cos(r.c/10)*o;e.a={draw:function(t,e){var n=Math.sqrt(e*i),o=a*n,c=u*n;t.moveTo(0,-n),t.lineTo(o,c);for(var s=1;s<5;++s){var l=r.c*s/5,f=Math.cos(l),p=Math.sin(l);t.lineTo(p*n,-f*n),t.lineTo(f*o-p*c,p*o+f*c)}t.closePath()}}},function(t,e,n){\"use strict\";var r=Math.sqrt(3);e.a={draw:function(t,e){var n=-Math.sqrt(e/(3*r));t.moveTo(0,2*n),t.lineTo(-r*n,-n),t.lineTo(r*n,-n),t.closePath()}}},function(t,e,n){\"use strict\";var r=-.5,i=Math.sqrt(3)/2,o=1/Math.sqrt(12),a=3*(o/2+1);e.a={draw:function(t,e){var n=Math.sqrt(e/a),u=n/2,c=n*o,s=u,l=n*o+n,f=-s,p=l;t.moveTo(u,c),t.lineTo(s,l),t.lineTo(f,p),t.lineTo(r*u-i*c,i*u+r*c),t.lineTo(r*s-i*l,i*s+r*l),t.lineTo(r*f-i*p,i*f+r*p),t.lineTo(r*u+i*c,r*c-i*u),t.lineTo(r*s+i*l,r*l-i*s),t.lineTo(r*f+i*p,r*p-i*f),t.closePath()}}},function(t,e,n){\"use strict\";function r(t){return t.toISOString()}var i=n(78);n.d(e,\"b\",function(){return o});var o=\"%Y-%m-%dT%H:%M:%S.%LZ\",a=Date.prototype.toISOString?r:n.i(i.d)(o);e.a=a},function(t,e,n){\"use strict\";function r(t){if(0<=t.y&&t.y<100){var e=new Date(-1,t.m,t.d,t.H,t.M,t.S,t.L);return e.setFullYear(t.y),e}return new Date(t.y,t.m,t.d,t.H,t.M,t.S,t.L)}function i(t){if(0<=t.y&&t.y<100){var e=new Date(Date.UTC(-1,t.m,t.d,t.H,t.M,t.S,t.L));return e.setUTCFullYear(t.y),e}return new Date(Date.UTC(t.y,t.m,t.d,t.H,t.M,t.S,t.L))}function o(t){return{y:t,m:0,d:1,H:0,M:0,S:0,L:0}}function a(t){function e(t,e){return function(n){var r,i,o,a=[],u=-1,c=0,s=t.length;for(n instanceof Date||(n=new Date(+n));++u<s;)37===t.charCodeAt(u)&&(a.push(t.slice(c,u)),null!=(i=et[r=t.charAt(++u)])?r=t.charAt(++u):i=\"e\"===r?\" \":\"0\",(o=e[r])&&(r=o(n,i)),a.push(r),c=u+1);return a.push(t.slice(c,u)),a.join(\"\")}}function n(t,e){return function(n){var r=o(1900),u=a(r,t,n+=\"\",0);if(u!=n.length)return null;if(\"p\"in r&&(r.H=r.H%12+12*r.p),\"W\"in r||\"U\"in r){\"w\"in r||(r.w=\"W\"in r?1:0);var c=\"Z\"in r?i(o(r.y)).getUTCDay():e(o(r.y)).getDay();r.m=0,r.d=\"W\"in r?(r.w+6)%7+7*r.W-(c+5)%7:r.w+7*r.U-(c+6)%7}return\"Z\"in r?(r.H+=r.Z/100|0,r.M+=r.Z%100,i(r)):e(r)}}function a(t,e,n,r){for(var i,o,a=0,u=e.length,c=n.length;a<u;){if(r>=c)return-1;if(i=e.charCodeAt(a++),37===i){if(i=e.charAt(a++),o=Ut[i in et?e.charAt(a++):i],!o||(r=o(t,n,r))<0)return-1}else if(i!=n.charCodeAt(r++))return-1}return r}function u(t,e,n){var r=kt.exec(e.slice(n));return r?(t.p=Et[r[0].toLowerCase()],n+r[0].length):-1}function c(t,e,n){var r=Pt.exec(e.slice(n));return r?(t.w=Nt[r[0].toLowerCase()],n+r[0].length):-1}function tt(t,e,n){var r=Tt.exec(e.slice(n));return r?(t.w=St[r[0].toLowerCase()],n+r[0].length):-1}function nt(t,e,n){var r=It.exec(e.slice(n));return r?(t.m=Dt[r[0].toLowerCase()],n+r[0].length):-1}function rt(t,e,n){var r=At.exec(e.slice(n));return r?(t.m=Ot[r[0].toLowerCase()],n+r[0].length):-1}function it(t,e,n){return a(t,mt,e,n)}function ot(t,e,n){return a(t,yt,e,n)}function at(t,e,n){return a(t,_t,e,n)}function ut(t){return wt[t.getDay()]}function ct(t){return xt[t.getDay()]}function st(t){return Mt[t.getMonth()]}function lt(t){return Ct[t.getMonth()]}function ft(t){return bt[+(t.getHours()>=12)]}function pt(t){return wt[t.getUTCDay()]}function ht(t){return xt[t.getUTCDay()]}function dt(t){return Mt[t.getUTCMonth()]}function vt(t){return Ct[t.getUTCMonth()]}function gt(t){return bt[+(t.getUTCHours()>=12)]}var mt=t.dateTime,yt=t.date,_t=t.time,bt=t.periods,xt=t.days,wt=t.shortDays,Ct=t.months,Mt=t.shortMonths,kt=s(bt),Et=l(bt),Tt=s(xt),St=l(xt),Pt=s(wt),Nt=l(wt),At=s(Ct),Ot=l(Ct),It=s(Mt),Dt=l(Mt),Rt={a:ut,A:ct,b:st,B:lt,c:null,d:k,e:k,H:E,I:T,j:S,L:P,m:N,M:A,p:ft,S:O,U:I,w:D,W:R,x:null,X:null,y:L,Y:U,Z:F,\"%\":J},Lt={a:pt,A:ht,b:dt,B:vt,c:null,d:j,e:j,H:B,I:W,j:V,L:z,m:H,M:q,p:gt,S:Y,U:K,w:G,W:$,x:null,X:null,y:X,Y:Z,Z:Q,\"%\":J},Ut={a:c,A:tt,b:nt,B:rt,c:it,d:y,e:y,H:b,I:b,j:_,L:C,m:m,M:x,p:u,S:w,U:p,w:f,W:h,x:ot,X:at,y:v,Y:d,Z:g,\"%\":M};return Rt.x=e(yt,Rt),Rt.X=e(_t,Rt),Rt.c=e(mt,Rt),Lt.x=e(yt,Lt),Lt.X=e(_t,Lt),Lt.c=e(mt,Lt),{format:function(t){var n=e(t+=\"\",Rt);return n.toString=function(){return t},n},parse:function(t){var e=n(t+=\"\",r);return e.toString=function(){return t},e},utcFormat:function(t){var n=e(t+=\"\",Lt);return n.toString=function(){return t},n},utcParse:function(t){var e=n(t,i);return e.toString=function(){return t},e}}}function u(t,e,n){var r=t<0?\"-\":\"\",i=(r?-t:t)+\"\",o=i.length;return r+(o<n?new Array(n-o+1).join(e)+i:i)}function c(t){return t.replace(it,\"\\\\$&\")}function s(t){return new RegExp(\"^(?:\"+t.map(c).join(\"|\")+\")\",\"i\")}function l(t){for(var e={},n=-1,r=t.length;++n<r;)e[t[n].toLowerCase()]=n;return e}function f(t,e,n){var r=nt.exec(e.slice(n,n+1));return r?(t.w=+r[0],n+r[0].length):-1}function p(t,e,n){var r=nt.exec(e.slice(n));return r?(t.U=+r[0],n+r[0].length):-1}function h(t,e,n){var r=nt.exec(e.slice(n));return r?(t.W=+r[0],n+r[0].length):-1}function d(t,e,n){var r=nt.exec(e.slice(n,n+4));return r?(t.y=+r[0],n+r[0].length):-1}function v(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.y=+r[0]+(+r[0]>68?1900:2e3),n+r[0].length):-1}function g(t,e,n){var r=/^(Z)|([+-]\\d\\d)(?:\\:?(\\d\\d))?/.exec(e.slice(n,n+6));return r?(t.Z=r[1]?0:-(r[2]+(r[3]||\"00\")),n+r[0].length):-1}function m(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.m=r[0]-1,n+r[0].length):-1}function y(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.d=+r[0],n+r[0].length):-1}function _(t,e,n){var r=nt.exec(e.slice(n,n+3));return r?(t.m=0,t.d=+r[0],n+r[0].length):-1}function b(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.H=+r[0],n+r[0].length):-1}function x(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.M=+r[0],n+r[0].length):-1}function w(t,e,n){var r=nt.exec(e.slice(n,n+2));return r?(t.S=+r[0],n+r[0].length):-1}function C(t,e,n){var r=nt.exec(e.slice(n,n+3));return r?(t.L=+r[0],n+r[0].length):-1}function M(t,e,n){var r=rt.exec(e.slice(n,n+1));return r?n+r[0].length:-1}function k(t,e){return u(t.getDate(),e,2)}function E(t,e){return u(t.getHours(),e,2)}function T(t,e){return u(t.getHours()%12||12,e,2)}function S(t,e){return u(1+tt.a.count(n.i(tt.b)(t),t),e,3)}function P(t,e){return u(t.getMilliseconds(),e,3)}function N(t,e){return u(t.getMonth()+1,e,2)}function A(t,e){return u(t.getMinutes(),e,2)}function O(t,e){return u(t.getSeconds(),e,2)}function I(t,e){return u(tt.c.count(n.i(tt.b)(t),t),e,2)}function D(t){return t.getDay()}function R(t,e){return u(tt.d.count(n.i(tt.b)(t),t),e,2)}function L(t,e){return u(t.getFullYear()%100,e,2)}function U(t,e){return u(t.getFullYear()%1e4,e,4)}function F(t){var e=t.getTimezoneOffset();return(e>0?\"-\":(e*=-1,\"+\"))+u(e/60|0,\"0\",2)+u(e%60,\"0\",2)}function j(t,e){return u(t.getUTCDate(),e,2)}function B(t,e){return u(t.getUTCHours(),e,2)}function W(t,e){return u(t.getUTCHours()%12||12,e,2)}function V(t,e){return u(1+tt.e.count(n.i(tt.f)(t),t),e,3)}function z(t,e){return u(t.getUTCMilliseconds(),e,3)}function H(t,e){return u(t.getUTCMonth()+1,e,2)}function q(t,e){return u(t.getUTCMinutes(),e,2)}function Y(t,e){return u(t.getUTCSeconds(),e,2)}function K(t,e){return u(tt.g.count(n.i(tt.f)(t),t),e,2)}function G(t){return t.getUTCDay()}function $(t,e){return u(tt.h.count(n.i(tt.f)(t),t),e,2)}function X(t,e){return u(t.getUTCFullYear()%100,e,2)}function Z(t,e){return u(t.getUTCFullYear()%1e4,e,4)}function Q(){return\"+0000\"}function J(){return\"%\"}var tt=n(79);e.a=a;var et={\"-\":\"\",_:\" \",0:\"0\"},nt=/^\\s*\\d+/,rt=/^%/,it=/[\\\\\\^\\$\\*\\+\\?\\|\\[\\]\\(\\)\\.\\{\\}]/g},function(t,e,n){\"use strict\";var r=n(8),i={listen:function(t,e,n){return t.addEventListener?(t.addEventListener(e,n,!1),{remove:function(){t.removeEventListener(e,n,!1)}}):t.attachEvent?(t.attachEvent(\"on\"+e,n),{remove:function(){t.detachEvent(\"on\"+e,n)}}):void 0},capture:function(t,e,n){return t.addEventListener?(t.addEventListener(e,n,!0),{remove:function(){t.removeEventListener(e,n,!0)}}):{remove:r}},registerDefault:function(){}};t.exports=i},function(t,e,n){\"use strict\";function r(t){try{t.focus()}catch(t){}}t.exports=r},function(t,e,n){\"use strict\";function r(){if(\"undefined\"==typeof document)return null;try{return document.activeElement||document.body}catch(t){return document.body}}t.exports=r},function(t,e){function n(){throw new Error(\"setTimeout has not been defined\")}function r(){throw new Error(\"clearTimeout has not been defined\")}function i(t){if(l===setTimeout)return setTimeout(t,0);if((l===n||!l)&&setTimeout)return l=setTimeout,setTimeout(t,0);try{return l(t,0)}catch(e){try{return l.call(null,t,0)}catch(e){return l.call(this,t,0)}}}function o(t){if(f===clearTimeout)return clearTimeout(t);if((f===r||!f)&&clearTimeout)return f=clearTimeout,clearTimeout(t);try{return f(t)}catch(e){try{return f.call(null,t)}catch(e){return f.call(this,t)}}}function a(){v&&h&&(v=!1,h.length?d=h.concat(d):g=-1,d.length&&u())}function u(){if(!v){var t=i(a);v=!0;for(var e=d.length;e;){for(h=d,d=[];++g<e;)h&&h[g].run();g=-1,e=d.length}h=null,v=!1,o(t)}}function c(t,e){this.fun=t,this.array=e}function s(){}var l,f,p=t.exports={};!function(){try{l=\"function\"==typeof setTimeout?setTimeout:n}catch(t){l=n}try{f=\"function\"==typeof clearTimeout?clearTimeout:r}catch(t){f=r}}();var h,d=[],v=!1,g=-1;p.nextTick=function(t){var e=new Array(arguments.length-1);if(arguments.length>1)for(var n=1;n<arguments.length;n++)e[n-1]=arguments[n];d.push(new c(t,e)),1!==d.length||v||i(u)},c.prototype.run=function(){this.fun.apply(null,this.array)},p.title=\"browser\",p.browser=!0,p.env={},p.argv=[],p.version=\"\",p.versions={},p.on=s,p.addListener=s,p.once=s,p.off=s,p.removeListener=s,p.removeAllListeners=s,p.emit=s,p.binding=function(t){throw new Error(\"process.binding is not supported\")},p.cwd=function(){return\"/\"},p.chdir=function(t){throw new Error(\"process.chdir is not supported\")},p.umask=function(){\n",
       "return 0}},function(t,e,n){\"use strict\";function r(t,e){return t+e.charAt(0).toUpperCase()+e.substring(1)}var i={animationIterationCount:!0,borderImageOutset:!0,borderImageSlice:!0,borderImageWidth:!0,boxFlex:!0,boxFlexGroup:!0,boxOrdinalGroup:!0,columnCount:!0,flex:!0,flexGrow:!0,flexPositive:!0,flexShrink:!0,flexNegative:!0,flexOrder:!0,gridRow:!0,gridColumn:!0,fontWeight:!0,lineClamp:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,tabSize:!0,widows:!0,zIndex:!0,zoom:!0,fillOpacity:!0,floodOpacity:!0,stopOpacity:!0,strokeDasharray:!0,strokeDashoffset:!0,strokeMiterlimit:!0,strokeOpacity:!0,strokeWidth:!0},o=[\"Webkit\",\"ms\",\"Moz\",\"O\"];Object.keys(i).forEach(function(t){o.forEach(function(e){i[r(e,t)]=i[t]})});var a={background:{backgroundAttachment:!0,backgroundColor:!0,backgroundImage:!0,backgroundPositionX:!0,backgroundPositionY:!0,backgroundRepeat:!0},backgroundPosition:{backgroundPositionX:!0,backgroundPositionY:!0},border:{borderWidth:!0,borderStyle:!0,borderColor:!0},borderBottom:{borderBottomWidth:!0,borderBottomStyle:!0,borderBottomColor:!0},borderLeft:{borderLeftWidth:!0,borderLeftStyle:!0,borderLeftColor:!0},borderRight:{borderRightWidth:!0,borderRightStyle:!0,borderRightColor:!0},borderTop:{borderTopWidth:!0,borderTopStyle:!0,borderTopColor:!0},font:{fontStyle:!0,fontVariant:!0,fontWeight:!0,fontSize:!0,lineHeight:!0,fontFamily:!0},outline:{outlineWidth:!0,outlineStyle:!0,outlineColor:!0}},u={isUnitlessNumber:i,shorthandPropertyExpansions:a};t.exports=u},function(t,e,n){\"use strict\";function r(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}var i=n(2),o=n(17),a=(n(0),function(){function t(e){r(this,t),this._callbacks=null,this._contexts=null,this._arg=e}return t.prototype.enqueue=function(t,e){this._callbacks=this._callbacks||[],this._callbacks.push(t),this._contexts=this._contexts||[],this._contexts.push(e)},t.prototype.notifyAll=function(){var t=this._callbacks,e=this._contexts,n=this._arg;if(t&&e){t.length!==e.length?i(\"24\"):void 0,this._callbacks=null,this._contexts=null;for(var r=0;r<t.length;r++)t[r].call(e[r],n);t.length=0,e.length=0}},t.prototype.checkpoint=function(){return this._callbacks?this._callbacks.length:0},t.prototype.rollback=function(t){this._callbacks&&this._contexts&&(this._callbacks.length=t,this._contexts.length=t)},t.prototype.reset=function(){this._callbacks=null,this._contexts=null},t.prototype.destructor=function(){this.reset()},t}());t.exports=o.addPoolingTo(a)},function(t,e,n){\"use strict\";function r(t){return!!s.hasOwnProperty(t)||!c.hasOwnProperty(t)&&(u.test(t)?(s[t]=!0,!0):(c[t]=!0,!1))}function i(t,e){return null==e||t.hasBooleanValue&&!e||t.hasNumericValue&&isNaN(e)||t.hasPositiveNumericValue&&e<1||t.hasOverloadedBooleanValue&&e===!1}var o=n(21),a=(n(4),n(9),n(394)),u=(n(1),new RegExp(\"^[\"+o.ATTRIBUTE_NAME_START_CHAR+\"][\"+o.ATTRIBUTE_NAME_CHAR+\"]*$\")),c={},s={},l={createMarkupForID:function(t){return o.ID_ATTRIBUTE_NAME+\"=\"+a(t)},setAttributeForID:function(t,e){t.setAttribute(o.ID_ATTRIBUTE_NAME,e)},createMarkupForRoot:function(){return o.ROOT_ATTRIBUTE_NAME+'=\"\"'},setAttributeForRoot:function(t){t.setAttribute(o.ROOT_ATTRIBUTE_NAME,\"\")},createMarkupForProperty:function(t,e){var n=o.properties.hasOwnProperty(t)?o.properties[t]:null;if(n){if(i(n,e))return\"\";var r=n.attributeName;return n.hasBooleanValue||n.hasOverloadedBooleanValue&&e===!0?r+'=\"\"':r+\"=\"+a(e)}return o.isCustomAttribute(t)?null==e?\"\":t+\"=\"+a(e):null},createMarkupForCustomAttribute:function(t,e){return r(t)&&null!=e?t+\"=\"+a(e):\"\"},setValueForProperty:function(t,e,n){var r=o.properties.hasOwnProperty(e)?o.properties[e]:null;if(r){var a=r.mutationMethod;if(a)a(t,n);else{if(i(r,n))return void this.deleteValueForProperty(t,e);if(r.mustUseProperty)t[r.propertyName]=n;else{var u=r.attributeName,c=r.attributeNamespace;c?t.setAttributeNS(c,u,\"\"+n):r.hasBooleanValue||r.hasOverloadedBooleanValue&&n===!0?t.setAttribute(u,\"\"):t.setAttribute(u,\"\"+n)}}}else if(o.isCustomAttribute(e))return void l.setValueForAttribute(t,e,n)},setValueForAttribute:function(t,e,n){if(r(e)){null==n?t.removeAttribute(e):t.setAttribute(e,\"\"+n)}},deleteValueForAttribute:function(t,e){t.removeAttribute(e)},deleteValueForProperty:function(t,e){var n=o.properties.hasOwnProperty(e)?o.properties[e]:null;if(n){var r=n.mutationMethod;if(r)r(t,void 0);else if(n.mustUseProperty){var i=n.propertyName;n.hasBooleanValue?t[i]=!1:t[i]=\"\"}else t.removeAttribute(n.attributeName)}else o.isCustomAttribute(e)&&t.removeAttribute(e)}};t.exports=l},function(t,e,n){\"use strict\";var r={hasCachedChildNodes:1};t.exports=r},function(t,e,n){\"use strict\";function r(){if(this._rootNodeID&&this._wrapperState.pendingUpdate){this._wrapperState.pendingUpdate=!1;var t=this._currentElement.props,e=u.getValue(t);null!=e&&i(this,Boolean(t.multiple),e)}}function i(t,e,n){var r,i,o=c.getNodeFromInstance(t).options;if(e){for(r={},i=0;i<n.length;i++)r[\"\"+n[i]]=!0;for(i=0;i<o.length;i++){var a=r.hasOwnProperty(o[i].value);o[i].selected!==a&&(o[i].selected=a)}}else{for(r=\"\"+n,i=0;i<o.length;i++)if(o[i].value===r)return void(o[i].selected=!0);o.length&&(o[0].selected=!0)}}function o(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return this._rootNodeID&&(this._wrapperState.pendingUpdate=!0),s.asap(r,this),n}var a=n(3),u=n(85),c=n(4),s=n(11),l=(n(1),!1),f={getHostProps:function(t,e){return a({},e,{onChange:t._wrapperState.onChange,value:void 0})},mountWrapper:function(t,e){var n=u.getValue(e);t._wrapperState={pendingUpdate:!1,initialValue:null!=n?n:e.defaultValue,listeners:null,onChange:o.bind(t),wasMultiple:Boolean(e.multiple)},void 0===e.value||void 0===e.defaultValue||l||(l=!0)},getSelectValueContext:function(t){return t._wrapperState.initialValue},postUpdateWrapper:function(t){var e=t._currentElement.props;t._wrapperState.initialValue=void 0;var n=t._wrapperState.wasMultiple;t._wrapperState.wasMultiple=Boolean(e.multiple);var r=u.getValue(e);null!=r?(t._wrapperState.pendingUpdate=!1,i(t,Boolean(e.multiple),r)):n!==Boolean(e.multiple)&&(null!=e.defaultValue?i(t,Boolean(e.multiple),e.defaultValue):i(t,Boolean(e.multiple),e.multiple?[]:\"\"))}};t.exports=f},function(t,e,n){\"use strict\";var r,i={injectEmptyComponentFactory:function(t){r=t}},o={create:function(t){return r(t)}};o.injection=i,t.exports=o},function(t,e,n){\"use strict\";var r={logTopLevelRenders:!1};t.exports=r},function(t,e,n){\"use strict\";function r(t){return u?void 0:a(\"111\",t.type),new u(t)}function i(t){return new c(t)}function o(t){return t instanceof c}var a=n(2),u=(n(0),null),c=null,s={injectGenericComponentClass:function(t){u=t},injectTextComponentClass:function(t){c=t}},l={createInternalComponent:r,createInstanceForText:i,isTextComponent:o,injection:s};t.exports=l},function(t,e,n){\"use strict\";function r(t){return o(document.documentElement,t)}var i=n(353),o=n(320),a=n(151),u=n(152),c={hasSelectionCapabilities:function(t){var e=t&&t.nodeName&&t.nodeName.toLowerCase();return e&&(\"input\"===e&&\"text\"===t.type||\"textarea\"===e||\"true\"===t.contentEditable)},getSelectionInformation:function(){var t=u();return{focusedElem:t,selectionRange:c.hasSelectionCapabilities(t)?c.getSelection(t):null}},restoreSelection:function(t){var e=u(),n=t.focusedElem,i=t.selectionRange;e!==n&&r(n)&&(c.hasSelectionCapabilities(n)&&c.setSelection(n,i),a(n))},getSelection:function(t){var e;if(\"selectionStart\"in t)e={start:t.selectionStart,end:t.selectionEnd};else if(document.selection&&t.nodeName&&\"input\"===t.nodeName.toLowerCase()){var n=document.selection.createRange();n.parentElement()===t&&(e={start:-n.moveStart(\"character\",-t.value.length),end:-n.moveEnd(\"character\",-t.value.length)})}else e=i.getOffsets(t);return e||{start:0,end:0}},setSelection:function(t,e){var n=e.start,r=e.end;if(void 0===r&&(r=n),\"selectionStart\"in t)t.selectionStart=n,t.selectionEnd=Math.min(r,t.value.length);else if(document.selection&&t.nodeName&&\"input\"===t.nodeName.toLowerCase()){var o=t.createTextRange();o.collapse(!0),o.moveStart(\"character\",n),o.moveEnd(\"character\",r-n),o.select()}else i.setOffsets(t,e)}};t.exports=c},function(t,e,n){\"use strict\";function r(t,e){for(var n=Math.min(t.length,e.length),r=0;r<n;r++)if(t.charAt(r)!==e.charAt(r))return r;return t.length===e.length?-1:n}function i(t){return t?t.nodeType===D?t.documentElement:t.firstChild:null}function o(t){return t.getAttribute&&t.getAttribute(A)||\"\"}function a(t,e,n,r,i){var o;if(x.logTopLevelRenders){var a=t._currentElement.props.child,u=a.type;o=\"React mount: \"+(\"string\"==typeof u?u:u.displayName||u.name),console.time(o)}var c=M.mountComponent(t,n,null,_(t,e),i,0);o&&console.timeEnd(o),t._renderedComponent._topLevelWrapper=t,j._mountImageIntoNode(c,e,t,r,n)}function u(t,e,n,r){var i=E.ReactReconcileTransaction.getPooled(!n&&b.useCreateElement);i.perform(a,null,t,e,i,n,r),E.ReactReconcileTransaction.release(i)}function c(t,e,n){for(M.unmountComponent(t,n),e.nodeType===D&&(e=e.documentElement);e.lastChild;)e.removeChild(e.lastChild)}function s(t){var e=i(t);if(e){var n=y.getInstanceFromNode(e);return!(!n||!n._hostParent)}}function l(t){return!(!t||t.nodeType!==I&&t.nodeType!==D&&t.nodeType!==R)}function f(t){var e=i(t),n=e&&y.getInstanceFromNode(e);return n&&!n._hostParent?n:null}function p(t){var e=f(t);return e?e._hostContainerInfo._topLevelWrapper:null}var h=n(2),d=n(20),v=n(21),g=n(26),m=n(51),y=(n(15),n(4)),_=n(347),b=n(349),x=n(160),w=n(40),C=(n(9),n(363)),M=n(24),k=n(88),E=n(11),T=n(38),S=n(169),P=(n(0),n(55)),N=n(95),A=(n(1),v.ID_ATTRIBUTE_NAME),O=v.ROOT_ATTRIBUTE_NAME,I=1,D=9,R=11,L={},U=1,F=function(){this.rootID=U++};F.prototype.isReactComponent={},F.prototype.render=function(){return this.props.child},F.isReactTopLevelWrapper=!0;var j={TopLevelWrapper:F,_instancesByReactRootID:L,scrollMonitor:function(t,e){e()},_updateRootComponent:function(t,e,n,r,i){return j.scrollMonitor(r,function(){k.enqueueElementInternal(t,e,n),i&&k.enqueueCallbackInternal(t,i)}),t},_renderNewRootComponent:function(t,e,n,r){l(e)?void 0:h(\"37\"),m.ensureScrollValueMonitoring();var i=S(t,!1);E.batchedUpdates(u,i,e,n,r);var o=i._instance.rootID;return L[o]=i,i},renderSubtreeIntoContainer:function(t,e,n,r){return null!=t&&w.has(t)?void 0:h(\"38\"),j._renderSubtreeIntoContainer(t,e,n,r)},_renderSubtreeIntoContainer:function(t,e,n,r){k.validateCallback(r,\"ReactDOM.render\"),g.isValidElement(e)?void 0:h(\"39\",\"string\"==typeof e?\" Instead of passing a string like 'div', pass React.createElement('div') or <div />.\":\"function\"==typeof e?\" Instead of passing a class like Foo, pass React.createElement(Foo) or <Foo />.\":null!=e&&void 0!==e.props?\" This may be caused by unintentionally loading two independent copies of React.\":\"\");var a,u=g.createElement(F,{child:e});if(t){var c=w.get(t);a=c._processChildContext(c._context)}else a=T;var l=p(n);if(l){var f=l._currentElement,d=f.props.child;if(N(d,e)){var v=l._renderedComponent.getPublicInstance(),m=r&&function(){r.call(v)};return j._updateRootComponent(l,u,a,n,m),v}j.unmountComponentAtNode(n)}var y=i(n),_=y&&!!o(y),b=s(n),x=_&&!l&&!b,C=j._renderNewRootComponent(u,n,x,a)._renderedComponent.getPublicInstance();return r&&r.call(C),C},render:function(t,e,n){return j._renderSubtreeIntoContainer(null,t,e,n)},unmountComponentAtNode:function(t){l(t)?void 0:h(\"40\");var e=p(t);if(!e){s(t),1===t.nodeType&&t.hasAttribute(O);return!1}return delete L[e._instance.rootID],E.batchedUpdates(c,e,t,!1),!0},_mountImageIntoNode:function(t,e,n,o,a){if(l(e)?void 0:h(\"41\"),o){var u=i(e);if(C.canReuseMarkup(t,u))return void y.precacheNode(n,u);var c=u.getAttribute(C.CHECKSUM_ATTR_NAME);u.removeAttribute(C.CHECKSUM_ATTR_NAME);var s=u.outerHTML;u.setAttribute(C.CHECKSUM_ATTR_NAME,c);var f=t,p=r(f,s),v=\" (client) \"+f.substring(p-20,p+20)+\"\\n (server) \"+s.substring(p-20,p+20);e.nodeType===D?h(\"42\",v):void 0}if(e.nodeType===D?h(\"43\"):void 0,a.useCreateElement){for(;e.lastChild;)e.removeChild(e.lastChild);d.insertTreeBefore(e,t,null)}else P(e,t),y.precacheNode(n,e.firstChild)}};t.exports=j},function(t,e,n){\"use strict\";var r=n(2),i=n(26),o=(n(0),{HOST:0,COMPOSITE:1,EMPTY:2,getType:function(t){return null===t||t===!1?o.EMPTY:i.isValidElement(t)?\"function\"==typeof t.type?o.COMPOSITE:o.HOST:void r(\"26\",t)}});t.exports=o},function(t,e,n){\"use strict\";function r(t,e){return null==e?i(\"30\"):void 0,null==t?e:Array.isArray(t)?Array.isArray(e)?(t.push.apply(t,e),t):(t.push(e),t):Array.isArray(e)?[t].concat(e):[t,e]}var i=n(2);n(0);t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){Array.isArray(t)?t.forEach(e,n):t&&e.call(n,t)}t.exports=r},function(t,e,n){\"use strict\";function r(t){for(var e;(e=t._renderedNodeType)===i.COMPOSITE;)t=t._renderedComponent;return e===i.HOST?t._renderedComponent:e===i.EMPTY?null:void 0}var i=n(164);t.exports=r},function(t,e,n){\"use strict\";function r(){return!o&&i.canUseDOM&&(o=\"textContent\"in document.documentElement?\"textContent\":\"innerText\"),o}var i=n(6),o=null;t.exports=r},function(t,e,n){\"use strict\";function r(t){if(t){var e=t.getName();if(e)return\" Check the render method of `\"+e+\"`.\"}return\"\"}function i(t){return\"function\"==typeof t&&\"undefined\"!=typeof t.prototype&&\"function\"==typeof t.prototype.mountComponent&&\"function\"==typeof t.prototype.receiveComponent}function o(t,e){var n;if(null===t||t===!1)n=s.create(o);else if(\"object\"==typeof t){var u=t,c=u.type;if(\"function\"!=typeof c&&\"string\"!=typeof c){var p=\"\";p+=r(u._owner),a(\"130\",null==c?c:typeof c,p)}\"string\"==typeof u.type?n=l.createInternalComponent(u):i(u.type)?(n=new u.type(u),n.getHostNode||(n.getHostNode=n.getNativeNode)):n=new f(u)}else\"string\"==typeof t||\"number\"==typeof t?n=l.createInstanceForText(t):a(\"131\",typeof t);return n._mountIndex=0,n._mountImage=null,n}var a=n(2),u=n(3),c=n(344),s=n(159),l=n(161),f=(n(391),n(0),n(1),function(t){this.construct(t)});u(f.prototype,c,{_instantiateReactComponent:o}),t.exports=o},function(t,e,n){\"use strict\";function r(t){var e=t&&t.nodeName&&t.nodeName.toLowerCase();return\"input\"===e?!!i[t.type]:\"textarea\"===e}var i={color:!0,date:!0,datetime:!0,\"datetime-local\":!0,email:!0,month:!0,number:!0,password:!0,range:!0,search:!0,tel:!0,text:!0,time:!0,url:!0,week:!0};t.exports=r},function(t,e,n){\"use strict\";var r=n(6),i=n(54),o=n(55),a=function(t,e){if(e){var n=t.firstChild;if(n&&n===t.lastChild&&3===n.nodeType)return void(n.nodeValue=e)}t.textContent=e};r.canUseDOM&&(\"textContent\"in document.documentElement||(a=function(t,e){return 3===t.nodeType?void(t.nodeValue=e):void o(t,i(e))})),t.exports=a},function(t,e,n){\"use strict\";function r(t,e){return t&&\"object\"==typeof t&&null!=t.key?s.escape(t.key):e.toString(36)}function i(t,e,n,o){var p=typeof t;if(\"undefined\"!==p&&\"boolean\"!==p||(t=null),null===t||\"string\"===p||\"number\"===p||\"object\"===p&&t.$$typeof===u)return n(o,t,\"\"===e?l+r(t,0):e),1;var h,d,v=0,g=\"\"===e?l:e+f;if(Array.isArray(t))for(var m=0;m<t.length;m++)h=t[m],d=g+r(h,m),v+=i(h,d,n,o);else{var y=c(t);if(y){var _,b=y.call(t);if(y!==t.entries)for(var x=0;!(_=b.next()).done;)h=_.value,d=g+r(h,x++),v+=i(h,d,n,o);else for(;!(_=b.next()).done;){var w=_.value;w&&(h=w[1],d=g+s.escape(w[0])+f+r(h,0),v+=i(h,d,n,o))}}else if(\"object\"===p){var C=\"\",M=String(t);a(\"31\",\"[object Object]\"===M?\"object with keys {\"+Object.keys(t).join(\", \")+\"}\":M,C)}}return v}function o(t,e,n){return null==t?0:i(t,\"\",e,n)}var a=n(2),u=(n(15),n(359)),c=n(390),s=(n(0),n(84)),l=(n(1),\".\"),f=\":\";t.exports=o},function(t,e,n){\"use strict\";function r(t){var e=Function.prototype.toString,n=Object.prototype.hasOwnProperty,r=RegExp(\"^\"+e.call(n).replace(/[\\\\^$.*+?()[\\]{}|]/g,\"\\\\$&\").replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g,\"$1.*?\")+\"$\");try{var i=e.call(t);return r.test(i)}catch(t){return!1}}function i(t){var e=s(t);if(e){var n=e.childIDs;l(t),n.forEach(i)}}function o(t,e,n){return\"\\n    in \"+(t||\"Unknown\")+(e?\" (at \"+e.fileName.replace(/^.*[\\\\\\/]/,\"\")+\":\"+e.lineNumber+\")\":n?\" (created by \"+n+\")\":\"\")}function a(t){return null==t?\"#empty\":\"string\"==typeof t||\"number\"==typeof t?\"#text\":\"string\"==typeof t.type?t.type:t.type.displayName||t.type.name||\"Unknown\"}function u(t){var e,n=k.getDisplayName(t),r=k.getElement(t),i=k.getOwnerID(t);return i&&(e=k.getDisplayName(i)),o(n,r&&r._source,e)}var c,s,l,f,p,h,d,v=n(28),g=n(15),m=(n(0),n(1),\"function\"==typeof Array.from&&\"function\"==typeof Map&&r(Map)&&null!=Map.prototype&&\"function\"==typeof Map.prototype.keys&&r(Map.prototype.keys)&&\"function\"==typeof Set&&r(Set)&&null!=Set.prototype&&\"function\"==typeof Set.prototype.keys&&r(Set.prototype.keys));if(m){var y=new Map,_=new Set;c=function(t,e){y.set(t,e)},s=function(t){return y.get(t)},l=function(t){y.delete(t)},f=function(){return Array.from(y.keys())},p=function(t){_.add(t)},h=function(t){_.delete(t)},d=function(){return Array.from(_.keys())}}else{var b={},x={},w=function(t){return\".\"+t},C=function(t){return parseInt(t.substr(1),10)};c=function(t,e){var n=w(t);b[n]=e},s=function(t){var e=w(t);return b[e]},l=function(t){var e=w(t);delete b[e]},f=function(){return Object.keys(b).map(C)},p=function(t){var e=w(t);x[e]=!0},h=function(t){var e=w(t);delete x[e]},d=function(){return Object.keys(x).map(C)}}var M=[],k={onSetChildren:function(t,e){var n=s(t);n?void 0:v(\"144\"),n.childIDs=e;for(var r=0;r<e.length;r++){var i=e[r],o=s(i);o?void 0:v(\"140\"),null==o.childIDs&&\"object\"==typeof o.element&&null!=o.element?v(\"141\"):void 0,o.isMounted?void 0:v(\"71\"),null==o.parentID&&(o.parentID=t),o.parentID!==t?v(\"142\",i,o.parentID,t):void 0}},onBeforeMountComponent:function(t,e,n){var r={element:e,parentID:n,text:null,childIDs:[],isMounted:!1,updateCount:0};c(t,r)},onBeforeUpdateComponent:function(t,e){var n=s(t);n&&n.isMounted&&(n.element=e)},onMountComponent:function(t){var e=s(t);e?void 0:v(\"144\"),e.isMounted=!0;var n=0===e.parentID;n&&p(t)},onUpdateComponent:function(t){var e=s(t);e&&e.isMounted&&e.updateCount++},onUnmountComponent:function(t){var e=s(t);if(e){e.isMounted=!1;var n=0===e.parentID;n&&h(t)}M.push(t)},purgeUnmountedComponents:function(){if(!k._preventPurging){for(var t=0;t<M.length;t++){var e=M[t];i(e)}M.length=0}},isMounted:function(t){var e=s(t);return!!e&&e.isMounted},getCurrentStackAddendum:function(t){var e=\"\";if(t){var n=a(t),r=t._owner;e+=o(n,t._source,r&&r.getName())}var i=g.current,u=i&&i._debugID;return e+=k.getStackAddendumByID(u)},getStackAddendumByID:function(t){for(var e=\"\";t;)e+=u(t),t=k.getParentID(t);return e},getChildIDs:function(t){var e=s(t);return e?e.childIDs:[]},getDisplayName:function(t){var e=k.getElement(t);return e?a(e):null},getElement:function(t){var e=s(t);return e?e.element:null},getOwnerID:function(t){var e=k.getElement(t);return e&&e._owner?e._owner._debugID:null},getParentID:function(t){var e=s(t);return e?e.parentID:null},getSource:function(t){var e=s(t),n=e?e.element:null,r=null!=n?n._source:null;return r},getText:function(t){var e=k.getElement(t);return\"string\"==typeof e?e:\"number\"==typeof e?\"\"+e:null},getUpdateCount:function(t){var e=s(t);return e?e.updateCount:0},getRootIDs:d,getRegisteredIDs:f};t.exports=k},function(t,e,n){\"use strict\";var r=\"function\"==typeof Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";var r={};t.exports=r},function(t,e,n){\"use strict\";var r=!1;t.exports=r},function(t,e,n){\"use strict\";function r(t){var e=t&&(i&&t[i]||t[o]);if(\"function\"==typeof e)return e}var i=\"function\"==typeof Symbol&&Symbol.iterator,o=\"@@iterator\";t.exports=r},,function(t,e,n){\"use strict\";function r(t){return t&&t.__esModule?t:{default:t}}function i(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}function o(t,e){if(!t)throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");return!e||\"object\"!=typeof e&&\"function\"!=typeof e?t:e}function a(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Super expression must either be null or a function, not \"+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,\"__esModule\",{value:!0});var u=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t},c=function(){function t(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r)}}return function(e,n,r){return n&&t(e.prototype,n),r&&t(e,r),e}}(),s=n(41),l=r(s),f=n(129),p=n(64),h=n(30),d=n(77),v=n(112),g=n(134),m=n(10),y=n(39),_=n(56),b=r(_),x=function(t){function e(){i(this,e);var t=o(this,(e.__proto__||Object.getPrototypeOf(e)).call(this));return window.lastAdditiveForceArrayVisualizer=t,t.topOffset=28,t.leftOffset=80,t.height=350,t.effectFormat=(0,h.format)(\".2\"),t.redraw=(0,y.debounce)(function(){return t.draw()},200),t}return a(e,t),c(e,[{key:\"componentDidMount\",value:function(){var t=this;this.mainGroup=this.svg.append(\"g\"),this.onTopGroup=this.svg.append(\"g\"),this.xaxisElement=this.onTopGroup.append(\"g\").attr(\"transform\",\"translate(0,35)\").attr(\"class\",\"force-bar-array-xaxis\"),this.yaxisElement=this.onTopGroup.append(\"g\").attr(\"transform\",\"translate(0,35)\").attr(\"class\",\"force-bar-array-yaxis\"),this.hoverGroup1=this.svg.append(\"g\"),this.hoverGroup2=this.svg.append(\"g\"),this.baseValueTitle=this.svg.append(\"text\"),this.hoverLine=this.svg.append(\"line\"),this.hoverxOutline=this.svg.append(\"text\").attr(\"text-anchor\",\"middle\").attr(\"font-weight\",\"bold\").attr(\"fill\",\"#fff\").attr(\"stroke\",\"#fff\").attr(\"stroke-width\",\"6\").attr(\"font-size\",\"12px\"),this.hoverx=this.svg.append(\"text\").attr(\"text-anchor\",\"middle\").attr(\"font-weight\",\"bold\").attr(\"fill\",\"#000\").attr(\"font-size\",\"12px\"),this.hoverxTitle=this.svg.append(\"text\").attr(\"text-anchor\",\"middle\").attr(\"opacity\",.6).attr(\"font-size\",\"12px\"),this.hoveryOutline=this.svg.append(\"text\").attr(\"text-anchor\",\"end\").attr(\"font-weight\",\"bold\").attr(\"fill\",\"#fff\").attr(\"stroke\",\"#fff\").attr(\"stroke-width\",\"6\").attr(\"font-size\",\"12px\"),this.hovery=this.svg.append(\"text\").attr(\"text-anchor\",\"end\").attr(\"font-weight\",\"bold\").attr(\"fill\",\"#000\").attr(\"font-size\",\"12px\"),this.xlabel=this.wrapper.select(\".additive-force-array-xlabel\"),this.ylabel=this.wrapper.select(\".additive-force-array-ylabel\");var e=void 0;\"string\"==typeof this.props.plot_cmap?this.props.plot_cmap in b.default.colors?e=b.default.colors[this.props.plot_cmap]:(console.log(\"Invalid color map name, reverting to default.\"),e=b.default.colors.RdBu):Array.isArray(this.props.plot_cmap)&&(e=this.props.plot_cmap),this.colors=e.map(function(t){return(0,m.hsl)(t)}),this.brighterColors=[1.45,1.6].map(function(e,n){return t.colors[n].brighter(e)});var n=(0,h.format)(\",.4\");if(null!=this.props.ordering_keys&&null!=this.props.ordering_keys_time_format){var r=function(t){return\"object\"==(\"undefined\"==typeof t?\"undefined\":u(t))?this.formatTime(t):n(t)};this.parseTime=(0,d.timeParse)(this.props.ordering_keys_time_format),this.formatTime=(0,d.timeFormat)(this.props.ordering_keys_time_format),this.xtickFormat=r}else this.parseTime=null,this.formatTime=null,this.xtickFormat=n;this.xscale=(0,p.scaleLinear)(),this.xaxis=(0,v.axisBottom)().scale(this.xscale).tickSizeInner(4).tickSizeOuter(0).tickFormat(function(e){return t.xtickFormat(e)}).tickPadding(-18),this.ytickFormat=n,this.yscale=(0,p.scaleLinear)(),this.yaxis=(0,v.axisLeft)().scale(this.yscale).tickSizeInner(4).tickSizeOuter(0).tickFormat(function(e){return t.ytickFormat(t.invLinkFunction(e))}).tickPadding(2),this.xlabel.node().onchange=function(){return t.internalDraw()},this.ylabel.node().onchange=function(){return t.internalDraw()},this.svg.on(\"mousemove\",function(e){return t.mouseMoved(e)}),this.svg.on(\"click\",function(){return alert(\"This original index of the sample you clicked is \"+t.nearestExpIndex)}),this.svg.on(\"mouseout\",function(e){return t.mouseOut(e)}),window.addEventListener(\"resize\",this.redraw),window.setTimeout(this.redraw,50)}},{key:\"componentDidUpdate\",value:function(){this.draw()}},{key:\"mouseOut\",value:function(){this.hoverLine.attr(\"display\",\"none\"),this.hoverx.attr(\"display\",\"none\"),this.hoverxOutline.attr(\"display\",\"none\"),this.hoverxTitle.attr(\"display\",\"none\"),this.hovery.attr(\"display\",\"none\"),this.hoveryOutline.attr(\"display\",\"none\"),this.hoverGroup1.attr(\"display\",\"none\"),this.hoverGroup2.attr(\"display\",\"none\")}},{key:\"mouseMoved\",value:function(){var t=this,e=void 0,n=void 0;this.hoverLine.attr(\"display\",\"\"),this.hoverx.attr(\"display\",\"\"),this.hoverxOutline.attr(\"display\",\"\"),this.hoverxTitle.attr(\"display\",\"\"),this.hovery.attr(\"display\",\"\"),this.hoveryOutline.attr(\"display\",\"\"),this.hoverGroup1.attr(\"display\",\"\"),this.hoverGroup2.attr(\"display\",\"\");var r=(0,f.mouse)(this.svg.node())[0];if(this.props.explanations){for(e=0;e<this.currExplanations.length;++e)(!n||Math.abs(n.xmapScaled-r)>Math.abs(this.currExplanations[e].xmapScaled-r))&&(n=this.currExplanations[e]);this.nearestExpIndex=n.origInd,this.hoverLine.attr(\"x1\",n.xmapScaled).attr(\"x2\",n.xmapScaled).attr(\"y1\",0+this.topOffset).attr(\"y2\",this.height),this.hoverx.attr(\"x\",n.xmapScaled).attr(\"y\",this.topOffset-5).text(this.xtickFormat(n.xmap)),this.hoverxOutline.attr(\"x\",n.xmapScaled).attr(\"y\",this.topOffset-5).text(this.xtickFormat(n.xmap)),this.hoverxTitle.attr(\"x\",n.xmapScaled).attr(\"y\",this.topOffset-18).text(n.count>1?n.count+\" averaged samples\":\"\"),this.hovery.attr(\"x\",this.leftOffset-6).attr(\"y\",n.joinPointy).text(this.ytickFormat(this.invLinkFunction(n.joinPoint))),this.hoveryOutline.attr(\"x\",this.leftOffset-6).attr(\"y\",n.joinPointy).text(this.ytickFormat(this.invLinkFunction(n.joinPoint)));for(var i=[],o=void 0,a=void 0,u=this.currPosOrderedFeatures.length-1;u>=0;--u){var c=this.currPosOrderedFeatures[u],s=n.features[c];a=5+(s.posyTop+s.posyBottom)/2,(!o||a-o>=15)&&s.posyTop-s.posyBottom>=6&&(i.push(s),o=a)}var l=[];o=void 0;var p=!0,h=!1,d=void 0;try{for(var v,g=this.currNegOrderedFeatures[Symbol.iterator]();!(p=(v=g.next()).done);p=!0){var m=v.value,y=n.features[m];a=5+(y.negyTop+y.negyBottom)/2,(!o||o-a>=15)&&y.negyTop-y.negyBottom>=6&&(l.push(y),o=a)}}catch(t){h=!0,d=t}finally{try{!p&&g.return&&g.return()}finally{if(h)throw d}}var _=function(e){var r=\"\";return null!==e.value&&void 0!==e.value&&(r=\" = \"+(isNaN(e.value)?e.value:t.ytickFormat(e.value))),n.count>1?\"mean(\"+t.props.featureNames[e.ind]+\")\"+r:t.props.featureNames[e.ind]+r},b=this.hoverGroup1.selectAll(\".pos-values\").data(i);b.enter().append(\"text\").attr(\"class\",\"pos-values\").merge(b).attr(\"x\",n.xmapScaled+5).attr(\"y\",function(t){return 4+(t.posyTop+t.posyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"stroke\",\"#fff\").attr(\"fill\",\"#fff\").attr(\"stroke-width\",\"4\").attr(\"stroke-linejoin\",\"round\").attr(\"opacity\",1).text(_),b.exit().remove();var x=this.hoverGroup2.selectAll(\".pos-values\").data(i);x.enter().append(\"text\").attr(\"class\",\"pos-values\").merge(x).attr(\"x\",n.xmapScaled+5).attr(\"y\",function(t){return 4+(t.posyTop+t.posyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"fill\",this.colors[0]).text(_),x.exit().remove();var w=this.hoverGroup1.selectAll(\".neg-values\").data(l);w.enter().append(\"text\").attr(\"class\",\"neg-values\").merge(w).attr(\"x\",n.xmapScaled+5).attr(\"y\",function(t){return 4+(t.negyTop+t.negyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"stroke\",\"#fff\").attr(\"fill\",\"#fff\").attr(\"stroke-width\",\"4\").attr(\"stroke-linejoin\",\"round\").attr(\"opacity\",1).text(_),w.exit().remove();var C=this.hoverGroup2.selectAll(\".neg-values\").data(l);C.enter().append(\"text\").attr(\"class\",\"neg-values\").merge(C).attr(\"x\",n.xmapScaled+5).attr(\"y\",function(t){return 4+(t.negyTop+t.negyBottom)/2}).attr(\"text-anchor\",\"start\").attr(\"font-size\",12).attr(\"fill\",this.colors[1]).text(_),C.exit().remove()}}},{key:\"draw\",value:function(){var t=this;if(this.props.explanations&&0!==this.props.explanations.length){(0,y.each)(this.props.explanations,function(t,e){return t.origInd=e});var e={},n={},r={},i=!0,o=!1,a=void 0;try{for(var u,c=this.props.explanations[Symbol.iterator]();!(i=(u=c.next()).done);i=!0){var s=u.value;for(var l in s.features)void 0===e[l]&&(e[l]=0,n[l]=0,r[l]=0),s.features[l].effect>0?e[l]+=s.features[l].effect:n[l]-=s.features[l].effect,null!==s.features[l].value&&void 0!==s.features[l].value&&(r[l]+=1)}}catch(t){o=!0,a=t}finally{try{!i&&c.return&&c.return()}finally{if(o)throw a}}this.usedFeatures=(0,y.sortBy)((0,y.keys)(e),function(t){return-(e[t]+n[t])}),console.log(\"found \",this.usedFeatures.length,\" used features\"),this.posOrderedFeatures=(0,y.sortBy)(this.usedFeatures,function(t){return e[t]}),this.negOrderedFeatures=(0,y.sortBy)(this.usedFeatures,function(t){return-n[t]}),this.singleValueFeatures=(0,y.filter)(this.usedFeatures,function(t){return r[t]>0});var f=[\"sample order by similarity\",\"sample order by output value\",\"original sample ordering\"].concat(this.singleValueFeatures.map(function(e){return t.props.featureNames[e]}));null!=this.props.ordering_keys&&f.unshift(\"sample order by key\");var p=this.xlabel.selectAll(\"option\").data(f);p.enter().append(\"option\").merge(p).attr(\"value\",function(t){return t}).text(function(t){return t}),p.exit().remove();var h=this.props.outNames[0]?this.props.outNames[0]:\"model output value\";f=(0,y.map)(this.usedFeatures,function(e){return[t.props.featureNames[e],t.props.featureNames[e]+\" effects\"]}),f.unshift([\"model output value\",h]);var d=this.ylabel.selectAll(\"option\").data(f);d.enter().append(\"option\").merge(d).attr(\"value\",function(t){return t[0]}).text(function(t){return t[1]}),d.exit().remove(),this.ylabel.style(\"top\",(this.height-10-this.topOffset)/2+this.topOffset+\"px\").style(\"left\",10-this.ylabel.node().offsetWidth/2+\"px\"),this.internalDraw()}}},{key:\"internalDraw\",value:function(){var t=this,e=!0,n=!1,r=void 0;try{for(var i,o=this.props.explanations[Symbol.iterator]();!(e=(i=o.next()).done);e=!0){var a=i.value,c=!0,s=!1,l=void 0;try{for(var f,h=this.usedFeatures[Symbol.iterator]();!(c=(f=h.next()).done);c=!0){var d=f.value;a.features.hasOwnProperty(d)||(a.features[d]={effect:0,value:0}),a.features[d].ind=d}}catch(t){s=!0,l=t}finally{try{!c&&h.return&&h.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 v=void 0,m=this.xlabel.node().value,_=\"sample order by key\"===m&&null!=this.props.ordering_keys_time_format;if(_?this.xscale=(0,p.scaleTime)():this.xscale=(0,p.scaleLinear)(),this.xaxis.scale(this.xscale),\"sample order by similarity\"===m)v=(0,y.sortBy)(this.props.explanations,function(t){return t.simIndex}),(0,y.each)(v,function(t,e){return t.xmap=e});else if(\"sample order by output value\"===m)v=(0,y.sortBy)(this.props.explanations,function(t){return-t.outValue}),(0,y.each)(v,function(t,e){return t.xmap=e});else if(\"original sample ordering\"===m)v=(0,y.sortBy)(this.props.explanations,function(t){return t.origInd}),(0,y.each)(v,function(t,e){return t.xmap=e});else if(\"sample order by key\"===m)v=this.props.explanations,_?(0,y.each)(v,function(e,n){return e.xmap=t.parseTime(t.props.ordering_keys[n])}):(0,y.each)(v,function(e,n){return e.xmap=t.props.ordering_keys[n]}),v=(0,y.sortBy)(v,function(t){return t.xmap});else{var b=function(){var e=(0,y.findKey)(t.props.featureNames,function(t){return t===m});(0,y.each)(t.props.explanations,function(t,n){return t.xmap=t.features[e].value});var n=(0,y.sortBy)(t.props.explanations,function(t){return t.xmap}),r=(0,y.map)(n,function(t){return t.xmap});if(\"string\"==typeof r[0])return alert(\"Ordering by category names is not yet supported.\"),{v:void 0};var i=(0,y.min)(r),o=(0,y.max)(r),a=(o-i)/100;v=[];for(var u=void 0,c=void 0,s=0;s<n.length;++s){var l=n[s];if(u&&!c&&l.xmap-u.xmap<=a||c&&l.xmap-c.xmap<=a){c||(c=(0,y.cloneDeep)(u),c.count=1);var f=!0,p=!1,h=void 0;try{for(var d,g=t.usedFeatures[Symbol.iterator]();!(f=(d=g.next()).done);f=!0){var _=d.value;c.features[_].effect+=l.features[_].effect,c.features[_].value+=l.features[_].value;\n",
       "}}catch(t){p=!0,h=t}finally{try{!f&&g.return&&g.return()}finally{if(p)throw h}}c.count+=1}else if(u)if(c){var b=!0,x=!1,w=void 0;try{for(var C,M=t.usedFeatures[Symbol.iterator]();!(b=(C=M.next()).done);b=!0){var k=C.value;c.features[k].effect/=c.count,c.features[k].value/=c.count}}catch(t){x=!0,w=t}finally{try{!b&&M.return&&M.return()}finally{if(x)throw w}}v.push(c),c=void 0}else v.push(u);u=l}u.xmap-v[v.length-1].xmap>a&&v.push(u)}();if(\"object\"===(\"undefined\"==typeof b?\"undefined\":u(b)))return b.v}this.currUsedFeatures=this.usedFeatures,this.currPosOrderedFeatures=this.posOrderedFeatures,this.currNegOrderedFeatures=this.negOrderedFeatures;var x=this.ylabel.node().value;if(\"model output value\"!==x){var w=v;v=(0,y.cloneDeep)(v);for(var C=(0,y.findKey)(this.props.featureNames,function(t){return t===x}),M=0;M<v.length;++M){var k=v[M].features[C];v[M].features={},v[M].features[C]=k,w[M].remapped_version=v[M]}this.currUsedFeatures=[C],this.currPosOrderedFeatures=[C],this.currNegOrderedFeatures=[C]}this.currExplanations=v,\"identity\"===this.props.link?this.invLinkFunction=function(e){return t.props.baseValue+e}:\"logit\"===this.props.link?this.invLinkFunction=function(e){return 1/(1+Math.exp(-(t.props.baseValue+e)))}:console.log(\"ERROR: Unrecognized link function: \",this.props.link),this.predValues=(0,y.map)(v,function(t){return(0,y.sum)((0,y.map)(t.features,function(t){return t.effect}))});var E=this.wrapper.node().offsetWidth;if(0==E)return setTimeout(function(){return t.draw(v)},500);this.svg.style(\"height\",this.height+\"px\"),this.svg.style(\"width\",E+\"px\");var T=(0,y.map)(v,function(t){return t.xmap});this.xscale.domain([(0,y.min)(T),(0,y.max)(T)]).range([this.leftOffset,E]).clamp(!0),this.xaxisElement.attr(\"transform\",\"translate(0,\"+this.topOffset+\")\").call(this.xaxis);for(var S=0;S<this.currExplanations.length;++S)this.currExplanations[S].xmapScaled=this.xscale(this.currExplanations[S].xmap);for(var P=v.length,N=0,A=0;A<P;++A){var O=v[A].features,I=(0,y.sum)((0,y.map)((0,y.filter)(O,function(t){return t.effect>0}),function(t){return t.effect}))||0,D=(0,y.sum)((0,y.map)((0,y.filter)(O,function(t){return t.effect<0}),function(t){return-t.effect}))||0;N=Math.max(N,2.2*Math.max(I,D))}this.yscale.domain([-N/2,N/2]).range([this.height-10,this.topOffset]),this.yaxisElement.attr(\"transform\",\"translate(\"+this.leftOffset+\",0)\").call(this.yaxis);for(var R=0;R<P;++R){var L=v[R].features,U=(0,y.sum)((0,y.map)((0,y.filter)(L,function(t){return t.effect<0}),function(t){return-t.effect}))||0,F=-U,j=void 0,B=!0,W=!1,V=void 0;try{for(var z,H=this.currPosOrderedFeatures[Symbol.iterator]();!(B=(z=H.next()).done);B=!0)j=z.value,L[j].posyTop=this.yscale(F),L[j].effect>0&&(F+=L[j].effect),L[j].posyBottom=this.yscale(F),L[j].ind=j}catch(t){W=!0,V=t}finally{try{!B&&H.return&&H.return()}finally{if(W)throw V}}var q=F,Y=!0,K=!1,G=void 0;try{for(var $,X=this.currNegOrderedFeatures[Symbol.iterator]();!(Y=($=X.next()).done);Y=!0)j=$.value,L[j].negyTop=this.yscale(F),L[j].effect<0&&(F-=L[j].effect),L[j].negyBottom=this.yscale(F)}catch(t){K=!0,G=t}finally{try{!Y&&X.return&&X.return()}finally{if(K)throw G}}v[R].joinPoint=q,v[R].joinPointy=this.yscale(q)}var Z=(0,g.line)().x(function(t){return t[0]}).y(function(t){return t[1]}),Q=this.mainGroup.selectAll(\".force-bar-array-area-pos\").data(this.currUsedFeatures);Q.enter().append(\"path\").attr(\"class\",\"force-bar-array-area-pos\").merge(Q).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(P),function(e){return[v[e].xmapScaled,v[e].features[t].posyTop]}),n=(0,y.map)((0,y.rangeRight)(P),function(e){return[v[e].xmapScaled,v[e].features[t].posyBottom]});return Z(e.concat(n))}).attr(\"fill\",this.colors[0]),Q.exit().remove();var J=this.mainGroup.selectAll(\".force-bar-array-area-neg\").data(this.currUsedFeatures);J.enter().append(\"path\").attr(\"class\",\"force-bar-array-area-neg\").merge(J).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(P),function(e){return[v[e].xmapScaled,v[e].features[t].negyTop]}),n=(0,y.map)((0,y.rangeRight)(P),function(e){return[v[e].xmapScaled,v[e].features[t].negyBottom]});return Z(e.concat(n))}).attr(\"fill\",this.colors[1]),J.exit().remove();var tt=this.mainGroup.selectAll(\".force-bar-array-divider-pos\").data(this.currUsedFeatures);tt.enter().append(\"path\").attr(\"class\",\"force-bar-array-divider-pos\").merge(tt).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(P),function(e){return[v[e].xmapScaled,v[e].features[t].posyBottom]});return Z(e)}).attr(\"fill\",\"none\").attr(\"stroke-width\",1).attr(\"stroke\",function(){return t.colors[0].brighter(1.2)}),tt.exit().remove();var et=this.mainGroup.selectAll(\".force-bar-array-divider-neg\").data(this.currUsedFeatures);et.enter().append(\"path\").attr(\"class\",\"force-bar-array-divider-neg\").merge(et).attr(\"d\",function(t){var e=(0,y.map)((0,y.range)(P),function(e){return[v[e].xmapScaled,v[e].features[t].negyTop]});return Z(e)}).attr(\"fill\",\"none\").attr(\"stroke-width\",1).attr(\"stroke\",function(){return t.colors[1].brighter(1.5)}),et.exit().remove();for(var nt=function(t,e,n,r,i){var o=void 0,a=void 0;\"pos\"===i?(o=t[n].features[e].posyBottom,a=t[n].features[e].posyTop):(o=t[n].features[e].negyBottom,a=t[n].features[e].negyTop);for(var u=void 0,c=void 0,s=n+1;s<=r;++s)\"pos\"===i?(u=t[s].features[e].posyBottom,c=t[s].features[e].posyTop):(u=t[s].features[e].negyBottom,c=t[s].features[e].negyTop),u>o&&(o=u),c<a&&(a=c);return{top:o,bottom:a}},rt=100,it=20,ot=100,at=[],ut=[\"pos\",\"neg\"],ct=0;ct<ut.length;ct++){var st=ut[ct],lt=!0,ft=!1,pt=void 0;try{for(var ht,dt=this.currUsedFeatures[Symbol.iterator]();!(lt=(ht=dt.next()).done);lt=!0)for(var vt=ht.value,gt=0,mt=0,yt=0,_t={top:0,bottom:0},bt=void 0;mt<P-1;){for(;yt<rt&&mt<P-1;)++mt,yt=v[mt].xmapScaled-v[gt].xmapScaled;for(_t=nt(v,vt,gt,mt,st);_t.bottom-_t.top<it&&gt<mt;)++gt,_t=nt(v,vt,gt,mt,st);if(yt=v[mt].xmapScaled-v[gt].xmapScaled,_t.bottom-_t.top>=it&&yt>=rt){for(;mt<P-1;){if(++mt,bt=nt(v,vt,gt,mt,st),!(bt.bottom-bt.top>it)){--mt;break}_t=bt}yt=v[mt].xmapScaled-v[gt].xmapScaled,at.push([(v[mt].xmapScaled+v[gt].xmapScaled)/2,(_t.top+_t.bottom)/2,this.props.featureNames[vt]]);var xt=v[mt].xmapScaled;for(gt=mt;xt+ot>v[gt].xmapScaled&&gt<P-1;)++gt;mt=gt}}}catch(t){ft=!0,pt=t}finally{try{!lt&&dt.return&&dt.return()}finally{if(ft)throw pt}}}var wt=this.onTopGroup.selectAll(\".force-bar-array-flabels\").data(at);wt.enter().append(\"text\").attr(\"class\",\"force-bar-array-flabels\").merge(wt).attr(\"x\",function(t){return t[0]}).attr(\"y\",function(t){return t[1]+4}).text(function(t){return t[2]}),wt.exit().remove()}},{key:\"componentWillUnmount\",value:function(){window.removeEventListener(\"resize\",this.redraw)}},{key:\"render\",value:function(){var t=this;return l.default.createElement(\"div\",{ref:function(e){return t.wrapper=(0,f.select)(e)},style:{textAlign:\"center\"}},l.default.createElement(\"style\",{dangerouslySetInnerHTML:{__html:\"\\n          .force-bar-array-wrapper {\\n            text-align: center;\\n          }\\n          .force-bar-array-xaxis path {\\n            fill: none;\\n            opacity: 0.4;\\n          }\\n          .force-bar-array-xaxis .domain {\\n            opacity: 0;\\n          }\\n          .force-bar-array-xaxis paths {\\n            display: none;\\n          }\\n          .force-bar-array-yaxis path {\\n            fill: none;\\n            opacity: 0.4;\\n          }\\n          .force-bar-array-yaxis paths {\\n            display: none;\\n          }\\n          .tick line {\\n            stroke: #000;\\n            stroke-width: 1px;\\n            opacity: 0.4;\\n          }\\n          .tick text {\\n            fill: #000;\\n            opacity: 0.5;\\n            font-size: 12px;\\n            padding: 0px;\\n          }\\n          .force-bar-array-flabels {\\n            font-size: 12px;\\n            fill: #fff;\\n            text-anchor: middle;\\n          }\\n          .additive-force-array-xlabel {\\n            background: none;\\n            border: 1px solid #ccc;\\n            opacity: 0.5;\\n            margin-bottom: 0px;\\n            font-size: 12px;\\n            font-family: arial;\\n            margin-left: 80px;\\n            max-width: 300px;\\n          }\\n          .additive-force-array-xlabel:focus {\\n            outline: none;\\n          }\\n          .additive-force-array-ylabel {\\n            position: relative;\\n            top: 0px;\\n            left: 0px;\\n            transform: rotate(-90deg);\\n            background: none;\\n            border: 1px solid #ccc;\\n            opacity: 0.5;\\n            margin-bottom: 0px;\\n            font-size: 12px;\\n            font-family: arial;\\n            max-width: 150px;\\n          }\\n          .additive-force-array-ylabel:focus {\\n            outline: none;\\n          }\\n          .additive-force-array-hoverLine {\\n            stroke-width: 1px;\\n            stroke: #fff;\\n            opacity: 1;\\n          }\"}}),l.default.createElement(\"select\",{className:\"additive-force-array-xlabel\"}),l.default.createElement(\"div\",{style:{height:\"0px\",textAlign:\"left\"}},l.default.createElement(\"select\",{className:\"additive-force-array-ylabel\"})),l.default.createElement(\"svg\",{ref:function(e){return t.svg=(0,f.select)(e)},style:{userSelect:\"none\",display:\"block\",fontFamily:\"arial\",sansSerif:!0}}))}}]),e}(l.default.Component);x.defaultProps={plot_cmap:\"RdBu\",ordering_keys:null,ordering_keys_time_format:null},e.default=x},function(t,e,n){\"use strict\";function r(t){return t&&t.__esModule?t:{default:t}}function i(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}function o(t,e){if(!t)throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");return!e||\"object\"!=typeof e&&\"function\"!=typeof e?t:e}function a(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Super expression must either be null or a function, not \"+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,\"__esModule\",{value:!0});var u=function(){function t(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r)}}return function(e,n,r){return n&&t(e.prototype,n),r&&t(e,r),e}}(),c=n(41),s=r(c),l=n(129),f=n(64),p=n(30),h=n(112),d=n(134),v=n(10),g=n(39),m=n(56),y=r(m),b=function(t){function e(){i(this,e);var t=o(this,(e.__proto__||Object.getPrototypeOf(e)).call(this));return window.lastAdditiveForceVisualizer=t,t.effectFormat=(0,p.format)(\".2\"),t.redraw=(0,g.debounce)(function(){return t.draw()},200),t}return a(e,t),u(e,[{key:\"componentDidMount\",value:function(){var t=this;this.mainGroup=this.svg.append(\"g\"),this.axisElement=this.mainGroup.append(\"g\").attr(\"transform\",\"translate(0,35)\").attr(\"class\",\"force-bar-axis\"),this.onTopGroup=this.svg.append(\"g\"),this.baseValueTitle=this.svg.append(\"text\"),this.joinPointLine=this.svg.append(\"line\"),this.joinPointLabelOutline=this.svg.append(\"text\"),this.joinPointLabel=this.svg.append(\"text\"),this.joinPointTitleLeft=this.svg.append(\"text\"),this.joinPointTitleLeftArrow=this.svg.append(\"text\"),this.joinPointTitle=this.svg.append(\"text\"),this.joinPointTitleRightArrow=this.svg.append(\"text\"),this.joinPointTitleRight=this.svg.append(\"text\"),this.hoverLabelBacking=this.svg.append(\"text\").attr(\"x\",10).attr(\"y\",20).attr(\"text-anchor\",\"middle\").attr(\"font-size\",12).attr(\"stroke\",\"#fff\").attr(\"fill\",\"#fff\").attr(\"stroke-width\",\"4\").attr(\"stroke-linejoin\",\"round\").text(\"\").on(\"mouseover\",function(){t.hoverLabel.attr(\"opacity\",1),t.hoverLabelBacking.attr(\"opacity\",1)}).on(\"mouseout\",function(){t.hoverLabel.attr(\"opacity\",0),t.hoverLabelBacking.attr(\"opacity\",0)}),this.hoverLabel=this.svg.append(\"text\").attr(\"x\",10).attr(\"y\",20).attr(\"text-anchor\",\"middle\").attr(\"font-size\",12).attr(\"fill\",\"#0f0\").text(\"\").on(\"mouseover\",function(){t.hoverLabel.attr(\"opacity\",1),t.hoverLabelBacking.attr(\"opacity\",1)}).on(\"mouseout\",function(){t.hoverLabel.attr(\"opacity\",0),t.hoverLabelBacking.attr(\"opacity\",0)});var e=void 0;\"string\"==typeof this.props.plot_cmap?this.props.plot_cmap in y.default.colors?e=y.default.colors[this.props.plot_cmap]:(console.log(\"Invalid color map name, reverting to default.\"),e=y.default.colors.RdBu):Array.isArray(this.props.plot_cmap)&&(e=this.props.plot_cmap),this.colors=e.map(function(t){return(0,v.hsl)(t)}),this.brighterColors=[1.45,1.6].map(function(e,n){return t.colors[n].brighter(e)}),this.colors.map(function(e,n){var r=t.svg.append(\"linearGradient\").attr(\"id\",\"linear-grad-\"+n).attr(\"x1\",\"0%\").attr(\"y1\",\"0%\").attr(\"x2\",\"0%\").attr(\"y2\",\"100%\");r.append(\"stop\").attr(\"offset\",\"0%\").attr(\"stop-color\",e).attr(\"stop-opacity\",.6),r.append(\"stop\").attr(\"offset\",\"100%\").attr(\"stop-color\",e).attr(\"stop-opacity\",0);var i=t.svg.append(\"linearGradient\").attr(\"id\",\"linear-backgrad-\"+n).attr(\"x1\",\"0%\").attr(\"y1\",\"0%\").attr(\"x2\",\"0%\").attr(\"y2\",\"100%\");i.append(\"stop\").attr(\"offset\",\"0%\").attr(\"stop-color\",e).attr(\"stop-opacity\",.5),i.append(\"stop\").attr(\"offset\",\"100%\").attr(\"stop-color\",e).attr(\"stop-opacity\",0)}),this.tickFormat=(0,p.format)(\",.4\"),this.scaleCentered=(0,f.scaleLinear)(),this.axis=(0,h.axisBottom)().scale(this.scaleCentered).tickSizeInner(4).tickSizeOuter(0).tickFormat(function(e){return t.tickFormat(t.invLinkFunction(e))}).tickPadding(-18),window.addEventListener(\"resize\",this.redraw),window.setTimeout(this.redraw,50)}},{key:\"componentDidUpdate\",value:function(){this.draw()}},{key:\"draw\",value:function(){var t=this;(0,g.each)(this.props.featureNames,function(e,n){t.props.features[n]&&(t.props.features[n].name=e)}),\"identity\"===this.props.link?this.invLinkFunction=function(e){return t.props.baseValue+e}:\"logit\"===this.props.link?this.invLinkFunction=function(e){return 1/(1+Math.exp(-(t.props.baseValue+e)))}:console.log(\"ERROR: Unrecognized link function: \",this.props.link);var e=this.svg.node().parentNode.offsetWidth;if(0==e)return setTimeout(function(){return t.draw(t.props)},500);this.svg.style(\"height\",\"150px\"),this.svg.style(\"width\",e+\"px\");var n=50,r=(0,g.sortBy)(this.props.features,function(t){return-1/(t.effect+1e-10)}),i=(0,g.sum)((0,g.map)(r,function(t){return Math.abs(t.effect)})),o=(0,g.sum)((0,g.map)((0,g.filter)(r,function(t){return t.effect>0}),function(t){return t.effect}))||0,a=(0,g.sum)((0,g.map)((0,g.filter)(r,function(t){return t.effect<0}),function(t){return-t.effect}))||0;this.domainSize=3*Math.max(o,a);var u=(0,f.scaleLinear)().domain([0,this.domainSize]).range([0,e]),c=e/2-u(a);this.scaleCentered.domain([-this.domainSize/2,this.domainSize/2]).range([0,e]).clamp(!0),this.axisElement.attr(\"transform\",\"translate(0,\"+n+\")\").call(this.axis);var s=0,l=void 0,h=void 0,v=void 0;for(l=0;l<r.length;++l)r[l].x=s,r[l].effect<0&&void 0===h&&(h=s,v=l),s+=Math.abs(r[l].effect);void 0===h&&(h=s,v=l);var m=(0,d.line)().x(function(t){return t[0]}).y(function(t){return t[1]}),y=function(e){return void 0!==e.value&&null!==e.value&&\"\"!==e.value?e.name+\" = \"+(isNaN(e.value)?e.value:t.tickFormat(e.value)):e.name};r=this.props.hideBars?[]:r;var b=this.mainGroup.selectAll(\".force-bar-blocks\").data(r);b.enter().append(\"path\").attr(\"class\",\"force-bar-blocks\").merge(b).attr(\"d\",function(t,e){var r=u(t.x)+c,i=u(Math.abs(t.effect)),o=t.effect<0?-4:4,a=o;return e===v&&(o=0),e===v-1&&(a=0),m([[r,6+n],[r+i,6+n],[r+i+a,14.5+n],[r+i,23+n],[r,23+n],[r+o,14.5+n]])}).attr(\"fill\",function(e){return e.effect>0?t.colors[0]:t.colors[1]}).on(\"mouseover\",function(e){if(u(Math.abs(e.effect))<u(i)/50||u(Math.abs(e.effect))<10){var r=u(e.x)+c,o=u(Math.abs(e.effect));t.hoverLabel.attr(\"opacity\",1).attr(\"x\",r+o/2).attr(\"y\",n+.5).attr(\"fill\",e.effect>0?t.colors[0]:t.colors[1]).text(y(e)),t.hoverLabelBacking.attr(\"opacity\",1).attr(\"x\",r+o/2).attr(\"y\",n+.5).text(y(e))}}).on(\"mouseout\",function(){t.hoverLabel.attr(\"opacity\",0),t.hoverLabelBacking.attr(\"opacity\",0)}),b.exit().remove();var x=_.filter(r,function(t){return u(Math.abs(t.effect))>u(i)/50&&u(Math.abs(t.effect))>10}),w=this.onTopGroup.selectAll(\".force-bar-labels\").data(x);if(w.exit().remove(),w=w.enter().append(\"text\").attr(\"class\",\"force-bar-labels\").attr(\"font-size\",\"12px\").attr(\"y\",48+n).merge(w).text(function(e){return void 0!==e.value&&null!==e.value&&\"\"!==e.value?e.name+\" = \"+(isNaN(e.value)?e.value:t.tickFormat(e.value)):e.name}).attr(\"fill\",function(e){return e.effect>0?t.colors[0]:t.colors[1]}).attr(\"stroke\",function(t){return t.textWidth=Math.max(this.getComputedTextLength(),u(Math.abs(t.effect))-10),t.innerTextWidth=this.getComputedTextLength(),\"none\"}),this.filteredData=x,r.length>0){s=h+u.invert(5);for(var C=v;C<r.length;++C)r[C].textx=s,s+=u.invert(r[C].textWidth+10);s=h-u.invert(5);for(var M=v-1;M>=0;--M)r[M].textx=s,s-=u.invert(r[M].textWidth+10)}w.attr(\"x\",function(t){return u(t.textx)+c+(t.effect>0?-t.textWidth/2:t.textWidth/2)}).attr(\"text-anchor\",\"middle\"),x=(0,g.filter)(x,function(n){return u(n.textx)+c>t.props.labelMargin&&u(n.textx)+c<e-t.props.labelMargin}),this.filteredData2=x;var k=x.slice(),E=(0,g.findIndex)(r,x[0])-1;E>=0&&k.unshift(r[E]);var T=this.mainGroup.selectAll(\".force-bar-labelBacking\").data(x);T.enter().append(\"path\").attr(\"class\",\"force-bar-labelBacking\").attr(\"stroke\",\"none\").attr(\"opacity\",.2).merge(T).attr(\"d\",function(t){return m([[u(t.x)+u(Math.abs(t.effect))+c,23+n],[(t.effect>0?u(t.textx):u(t.textx)+t.textWidth)+c+5,33+n],[(t.effect>0?u(t.textx):u(t.textx)+t.textWidth)+c+5,54+n],[(t.effect>0?u(t.textx)-t.textWidth:u(t.textx))+c-5,54+n],[(t.effect>0?u(t.textx)-t.textWidth:u(t.textx))+c-5,33+n],[u(t.x)+c,23+n]])}).attr(\"fill\",function(t){return\"url(#linear-backgrad-\"+(t.effect>0?0:1)+\")\"}),T.exit().remove();var S=this.mainGroup.selectAll(\".force-bar-labelDividers\").data(x.slice(0,-1));S.enter().append(\"rect\").attr(\"class\",\"force-bar-labelDividers\").attr(\"height\",\"21px\").attr(\"width\",\"1px\").attr(\"y\",33+n).merge(S).attr(\"x\",function(t){return(t.effect>0?u(t.textx):u(t.textx)+t.textWidth)+c+4.5}).attr(\"fill\",function(t){return\"url(#linear-grad-\"+(t.effect>0?0:1)+\")\"}),S.exit().remove();var P=this.mainGroup.selectAll(\".force-bar-labelLinks\").data(x.slice(0,-1));P.enter().append(\"line\").attr(\"class\",\"force-bar-labelLinks\").attr(\"y1\",23+n).attr(\"y2\",33+n).attr(\"stroke-opacity\",.5).attr(\"stroke-width\",1).merge(P).attr(\"x1\",function(t){return u(t.x)+u(Math.abs(t.effect))+c}).attr(\"x2\",function(t){return(t.effect>0?u(t.textx):u(t.textx)+t.textWidth)+c+5}).attr(\"stroke\",function(e){return e.effect>0?t.colors[0]:t.colors[1]}),P.exit().remove();var N=this.mainGroup.selectAll(\".force-bar-blockDividers\").data(r.slice(0,-1));N.enter().append(\"path\").attr(\"class\",\"force-bar-blockDividers\").attr(\"stroke-width\",2).attr(\"fill\",\"none\").merge(N).attr(\"d\",function(t){var e=u(t.x)+u(Math.abs(t.effect))+c;return m([[e,6+n],[e+(t.effect<0?-4:4),14.5+n],[e,23+n]])}).attr(\"stroke\",function(e,n){return v===n+1||Math.abs(e.effect)<1e-8?\"#rgba(0,0,0,0)\":e.effect>0?t.brighterColors[0]:t.brighterColors[1]}),N.exit().remove(),this.joinPointLine.attr(\"x1\",u(h)+c).attr(\"x2\",u(h)+c).attr(\"y1\",0+n).attr(\"y2\",6+n).attr(\"stroke\",\"#F2F2F2\").attr(\"stroke-width\",1).attr(\"opacity\",1),this.joinPointLabelOutline.attr(\"x\",u(h)+c).attr(\"y\",-5+n).attr(\"color\",\"#fff\").attr(\"text-anchor\",\"middle\").attr(\"font-weight\",\"bold\").attr(\"stroke\",\"#fff\").attr(\"stroke-width\",6).text((0,p.format)(\",.2f\")(this.invLinkFunction(h-a))).attr(\"opacity\",1),console.log(\"joinPoint\",h,c,n,a),this.joinPointLabel.attr(\"x\",u(h)+c).attr(\"y\",-5+n).attr(\"text-anchor\",\"middle\").attr(\"font-weight\",\"bold\").attr(\"fill\",\"#000\").text((0,p.format)(\",.2f\")(this.invLinkFunction(h-a))).attr(\"opacity\",1),this.joinPointTitle.attr(\"x\",u(h)+c).attr(\"y\",-22+n).attr(\"text-anchor\",\"middle\").attr(\"font-size\",\"12\").attr(\"fill\",\"#000\").text(this.props.outNames[0]).attr(\"opacity\",.5),this.props.hideBars||(this.joinPointTitleLeft.attr(\"x\",u(h)+c-16).attr(\"y\",-38+n).attr(\"text-anchor\",\"end\").attr(\"font-size\",\"13\").attr(\"fill\",this.colors[0]).text(\"higher\").attr(\"opacity\",1),this.joinPointTitleRight.attr(\"x\",u(h)+c+16).attr(\"y\",-38+n).attr(\"text-anchor\",\"start\").attr(\"font-size\",\"13\").attr(\"fill\",this.colors[1]).text(\"lower\").attr(\"opacity\",1),this.joinPointTitleLeftArrow.attr(\"x\",u(h)+c+7).attr(\"y\",-42+n).attr(\"text-anchor\",\"end\").attr(\"font-size\",\"13\").attr(\"fill\",this.colors[0]).text(\"→\").attr(\"opacity\",1),this.joinPointTitleRightArrow.attr(\"x\",u(h)+c-7).attr(\"y\",-36+n).attr(\"text-anchor\",\"start\").attr(\"font-size\",\"13\").attr(\"fill\",this.colors[1]).text(\"←\").attr(\"opacity\",1)),this.props.hideBaseValueLabel||this.baseValueTitle.attr(\"x\",this.scaleCentered(0)).attr(\"y\",-22+n).attr(\"text-anchor\",\"middle\").attr(\"font-size\",\"12\").attr(\"fill\",\"#000\").text(\"base value\").attr(\"opacity\",.5)}},{key:\"componentWillUnmount\",value:function(){window.removeEventListener(\"resize\",this.redraw)}},{key:\"render\",value:function(){var t=this;return s.default.createElement(\"svg\",{ref:function(e){return t.svg=(0,l.select)(e)},style:{userSelect:\"none\",display:\"block\",fontFamily:\"arial\",sansSerif:!0}},s.default.createElement(\"style\",{dangerouslySetInnerHTML:{__html:\"\\n          .force-bar-axis path {\\n            fill: none;\\n            opacity: 0.4;\\n          }\\n          .force-bar-axis paths {\\n            display: none;\\n          }\\n          .tick line {\\n            stroke: #000;\\n            stroke-width: 1px;\\n            opacity: 0.4;\\n          }\\n          .tick text {\\n            fill: #000;\\n            opacity: 0.5;\\n            font-size: 12px;\\n            padding: 0px;\\n          }\"}}))}}]),e}(s.default.Component);b.defaultProps={plot_cmap:\"RdBu\"},e.default=b},function(t,e,n){\"use strict\";function r(t){return t&&t.__esModule?t:{default:t}}function i(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}function o(t,e){if(!t)throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");return!e||\"object\"!=typeof e&&\"function\"!=typeof e?t:e}function a(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Super expression must either be null or a function, not \"+typeof e);t.prototype=Object.create(e&&e.prototype,{constructor:{value:t,enumerable:!1,writable:!0,configurable:!0}}),e&&(Object.setPrototypeOf?Object.setPrototypeOf(t,e):t.__proto__=e)}Object.defineProperty(e,\"__esModule\",{value:!0});var u=function(){function t(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r)}}return function(e,n,r){return n&&t(e.prototype,n),r&&t(e,r),e}}(),c=n(41),s=r(c),l=n(64),f=n(30),p=n(39),h=n(56),d=r(h),v=function(t){function e(){i(this,e);var t=o(this,(e.__proto__||Object.getPrototypeOf(e)).call(this));return t.width=100,window.lastSimpleListInstance=t,t.effectFormat=(0,f.format)(\".2\"),t}return a(e,t),u(e,[{key:\"render\",value:function(){var t=this,e=void 0;\"string\"==typeof this.props.plot_cmap?this.props.plot_cmap in d.default.colors?e=d.default.colors[this.props.plot_cmap]:(console.log(\"Invalid color map name, reverting to default.\"),e=d.default.colors.RdBu):Array.isArray(this.props.plot_cmap)&&(e=this.props.plot_cmap),console.log(this.props.features,this.props.features),this.scale=(0,l.scaleLinear)().domain([0,(0,p.max)((0,p.map)(this.props.features,function(t){return Math.abs(t.effect)}))]).range([0,this.width]);var n=(0,p.reverse)((0,p.sortBy)(Object.keys(this.props.features),function(e){return Math.abs(t.props.features[e].effect)})),r=n.map(function(n){var r=t.props.features[n],i=t.props.featureNames[n],o={width:t.scale(Math.abs(r.effect)),height:\"20px\",background:r.effect<0?e[0]:e[1],display:\"inline-block\"},a=void 0,u=void 0,c={lineHeight:\"20px\",display:\"inline-block\",width:t.width+40,verticalAlign:\"top\",marginRight:\"5px\",textAlign:\"right\"},l={lineHeight:\"20px\",display:\"inline-block\",width:t.width+40,verticalAlign:\"top\",marginLeft:\"5px\"};return r.effect<0?(u=s.default.createElement(\"span\",{style:l},i),c.width=40+t.width-t.scale(Math.abs(r.effect)),c.textAlign=\"right\",c.color=\"#999\",c.fontSize=\"13px\",a=s.default.createElement(\"span\",{style:c},t.effectFormat(r.effect))):(c.textAlign=\"right\",a=s.default.createElement(\"span\",{style:c},i),l.width=40,l.textAlign=\"left\",l.color=\"#999\",l.fontSize=\"13px\",u=s.default.createElement(\"span\",{style:l},t.effectFormat(r.effect))),s.default.createElement(\"div\",{key:n,style:{marginTop:\"2px\"}},a,s.default.createElement(\"div\",{style:o}),u)});return s.default.createElement(\"span\",null,r)}}]),e}(s.default.Component);v.defaultProps={plot_cmap:\"RdBu\"},e.default=v},function(t,e,n){\"use strict\";t.exports=n(345)},function(t,e,n){var r=(n(0),n(398)),i=!1;t.exports=function(t){t=t||{};var e=t.shouldRejectClick||r;i=!0,n(22).injection.injectEventPluginsByName({TapEventPlugin:n(396)(e)})}},function(t,e,n){\"use strict\";e.a=function(t){return function(){return t}}},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";n(101),n(102),n(184),n(105),n(187),n(109),n(108)},function(t,e,n){\"use strict\";e.a=function(t){return t}},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";n(29)},function(t,e,n){\"use strict\";n(18),n(29),n(57)},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";n(18)},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";n(101),n(18),n(29),n(57)},function(t,e,n){\"use strict\";n(104)},function(t,e,n){\"use strict\";n(110)},function(t,e,n){\"use strict\";n.d(e,\"a\",function(){return r});var r=Array.prototype.slice},function(t,e,n){\"use strict\";function r(t,e,n){var r=t(n);return\"translate(\"+(isFinite(r)?r:e(n))+\",0)\"}function i(t,e,n){var r=t(n);return\"translate(0,\"+(isFinite(r)?r:e(n))+\")\"}function o(t){var e=t.bandwidth()/2;return t.round()&&(e=Math.round(e)),function(n){return t(n)+e}}function a(){return!this.__axis}function u(t,e){function n(n){var p,b=null==c?e.ticks?e.ticks.apply(e,u):e.domain():c,x=null==s?e.tickFormat?e.tickFormat.apply(e,u):h.a:s,w=Math.max(l,0)+_,C=t===d||t===g?r:i,M=e.range(),k=M[0]+.5,E=M[M.length-1]+.5,T=(e.bandwidth?o:h.a)(e.copy()),S=n.selection?n.selection():n,P=S.selectAll(\".domain\").data([null]),N=S.selectAll(\".tick\").data(b,e).order(),A=N.exit(),O=N.enter().append(\"g\").attr(\"class\",\"tick\"),I=N.select(\"line\"),D=N.select(\"text\"),R=t===d||t===m?-1:1,L=t===m||t===v?(p=\"x\",\"y\"):(p=\"y\",\"x\");P=P.merge(P.enter().insert(\"path\",\".tick\").attr(\"class\",\"domain\").attr(\"stroke\",\"#000\")),N=N.merge(O),I=I.merge(O.append(\"line\").attr(\"stroke\",\"#000\").attr(p+\"2\",R*l).attr(L+\"1\",.5).attr(L+\"2\",.5)),D=D.merge(O.append(\"text\").attr(\"fill\",\"#000\").attr(p,R*w).attr(L,.5).attr(\"dy\",t===d?\"0em\":t===g?\"0.71em\":\"0.32em\")),n!==S&&(P=P.transition(n),N=N.transition(n),I=I.transition(n),D=D.transition(n),A=A.transition(n).attr(\"opacity\",y).attr(\"transform\",function(t){return C(T,this.parentNode.__axis||T,t)}),O.attr(\"opacity\",y).attr(\"transform\",function(t){return C(this.parentNode.__axis||T,T,t)})),A.remove(),P.attr(\"d\",t===m||t==v?\"M\"+R*f+\",\"+k+\"H0.5V\"+E+\"H\"+R*f:\"M\"+k+\",\"+R*f+\"V0.5H\"+E+\"V\"+R*f),N.attr(\"opacity\",1).attr(\"transform\",function(t){return C(T,T,t)}),I.attr(p+\"2\",R*l),D.attr(p,R*w).text(x),S.filter(a).attr(\"fill\",\"none\").attr(\"font-size\",10).attr(\"font-family\",\"sans-serif\").attr(\"text-anchor\",t===v?\"start\":t===m?\"end\":\"middle\"),S.each(function(){this.__axis=T})}var u=[],c=null,s=null,l=6,f=6,_=3;return n.scale=function(t){return arguments.length?(e=t,n):e},n.ticks=function(){return u=p.a.call(arguments),n},n.tickArguments=function(t){return arguments.length?(u=null==t?[]:p.a.call(t),n):u.slice()},n.tickValues=function(t){return arguments.length?(c=null==t?null:p.a.call(t),n):c&&c.slice()},n.tickFormat=function(t){return arguments.length?(s=t,n):s},n.tickSize=function(t){return arguments.length?(l=f=+t,n):l},n.tickSizeInner=function(t){return arguments.length?(l=+t,n):l},n.tickSizeOuter=function(t){return arguments.length?(f=+t,n):f},n.tickPadding=function(t){return arguments.length?(_=+t,n):_},n}function c(t){return u(d,t)}function s(t){return u(v,t)}function l(t){return u(g,t)}function f(t){return u(m,t)}var p=n(200),h=n(202);e.a=c,e.b=s,e.c=l,e.d=f;var d=1,v=2,g=3,m=4,y=1e-6},function(t,e,n){\"use strict\";e.a=function(t){return t}},function(t,e,n){\"use strict\";var r=(n(206),n(207),n(58));n.d(e,\"a\",function(){return r.a});n(205),n(208),n(204)},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";n(58)},function(t,e,n){\"use strict\";function r(){}function i(t,e){var n=new r;if(t instanceof r)t.each(function(t){n.add(t)});else if(t){var i=-1,o=t.length;if(null==e)for(;++i<o;)n.add(t[i]);else for(;++i<o;)n.add(e(t[i],i,t))}return n}var o=n(58),a=o.a.prototype;r.prototype=i.prototype={constructor:r,has:a.has,add:function(t){return t+=\"\",this[o.b+t]=t,this},remove:a.remove,clear:a.clear,values:a.keys,size:a.size,empty:a.empty,each:a.each}},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";function r(t){if(t instanceof o)return new o(t.h,t.s,t.l,t.opacity);t instanceof u.d||(t=n.i(u.e)(t));var e=t.r/255,r=t.g/255,i=t.b/255,a=(g*i+d*e-v*r)/(g+d-v),s=i-a,l=(h*(r-a)-f*s)/p,m=Math.sqrt(l*l+s*s)/(h*a*(1-a)),y=m?Math.atan2(l,s)*c.a-120:NaN;return new o(y<0?y+360:y,m,a,t.opacity)}function i(t,e,n,i){return 1===arguments.length?r(t):new o(t,e,n,null==i?1:i)}function o(t,e,n,r){this.h=+t,this.s=+e,this.l=+n,this.opacity=+r}var a=n(60),u=n(59),c=n(113);e.a=i;var s=-.14861,l=1.78277,f=-.29227,p=-.90649,h=1.97294,d=h*p,v=h*l,g=l*f-p*s;n.i(a.a)(o,i,n.i(a.b)(u.f,{brighter:function(t){return t=null==t?u.g:Math.pow(u.g,t),new o(this.h,this.s,this.l*t,this.opacity)},darker:function(t){return t=null==t?u.h:Math.pow(u.h,t),new o(this.h,this.s,this.l*t,this.opacity)},rgb:function(){var t=isNaN(this.h)?0:(this.h+120)*c.b,e=+this.l,n=isNaN(this.s)?0:this.s*e*(1-e),r=Math.cos(t),i=Math.sin(t);return new u.d(255*(e+n*(s*r+l*i)),255*(e+n*(f*r+p*i)),255*(e+n*(h*r)),this.opacity)}}))},function(t,e,n){\"use strict\";function r(t){if(t instanceof o)return new o(t.l,t.a,t.b,t.opacity);if(t instanceof p){var e=t.h*v.b;return new o(t.l,Math.cos(e)*t.c,Math.sin(e)*t.c,t.opacity)}t instanceof d.d||(t=n.i(d.e)(t));var r=s(t.r),i=s(t.g),u=s(t.b),c=a((.4124564*r+.3575761*i+.1804375*u)/m),l=a((.2126729*r+.7151522*i+.072175*u)/y),f=a((.0193339*r+.119192*i+.9503041*u)/_);return new o(116*l-16,500*(c-l),200*(l-f),t.opacity)}function i(t,e,n,i){return 1===arguments.length?r(t):new o(t,e,n,null==i?1:i)}function o(t,e,n,r){this.l=+t,this.a=+e,this.b=+n,this.opacity=+r}function a(t){return t>C?Math.pow(t,1/3):t/w+b}function u(t){return t>x?t*t*t:w*(t-b)}function c(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function s(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function l(t){if(t instanceof p)return new p(t.h,t.c,t.l,t.opacity);t instanceof o||(t=r(t));var e=Math.atan2(t.b,t.a)*v.a;return new p(e<0?e+360:e,Math.sqrt(t.a*t.a+t.b*t.b),t.l,t.opacity)}function f(t,e,n,r){return 1===arguments.length?l(t):new p(t,e,n,null==r?1:r)}function p(t,e,n,r){this.h=+t,this.c=+e,this.l=+n,this.opacity=+r}var h=n(60),d=n(59),v=n(113);e.a=i,e.b=f;var g=18,m=.95047,y=1,_=1.08883,b=4/29,x=6/29,w=3*x*x,C=x*x*x;n.i(h.a)(o,i,n.i(h.b)(d.f,{brighter:function(t){return new o(this.l+g*(null==t?1:t),this.a,this.b,this.opacity)},darker:function(t){return new o(this.l-g*(null==t?1:t),this.a,this.b,this.opacity)},rgb:function(){var t=(this.l+16)/116,e=isNaN(this.a)?t:t+this.a/500,n=isNaN(this.b)?t:t-this.b/200;return t=y*u(t),e=m*u(e),n=_*u(n),new d.d(c(3.2404542*e-1.5371385*t-.4985314*n),c(-.969266*e+1.8760108*t+.041556*n),c(.0556434*e-.2040259*t+1.0572252*n),this.opacity)}})),n.i(h.a)(p,f,n.i(h.b)(d.f,{brighter:function(t){return new p(this.h,this.c,this.l+g*(null==t?1:t),this.opacity)},darker:function(t){return new p(this.h,this.c,this.l-g*(null==t?1:t),this.opacity)},rgb:function(){return r(this).rgb()}}))},function(t,e,n){\"use strict\";function r(t){return o=n.i(i.a)(t),a=o.format,u=o.formatPrefix,o}var i=n(117);n.d(e,\"b\",function(){return a}),n.d(e,\"c\",function(){\n",
       "return u}),e.a=r;var o,a,u;r({decimal:\".\",thousands:\",\",grouping:[3],currency:[\"$\",\"\"]})},function(t,e,n){\"use strict\";e.a=function(t,e){t=t.toPrecision(e);t:for(var n,r=t.length,i=1,o=-1;i<r;++i)switch(t[i]){case\".\":o=n=i;break;case\"0\":0===o&&(o=i),n=i;break;case\"e\":break t;default:o>0&&(o=0)}return o>0?t.slice(0,o)+t.slice(n+1):t}},function(t,e,n){\"use strict\";e.a=function(t,e){return function(n,r){for(var i=n.length,o=[],a=0,u=t[0],c=0;i>0&&u>0&&(c+u+1>r&&(u=Math.max(1,r-c)),o.push(n.substring(i-=u,i+u)),!((c+=u+1)>r));)u=t[a=(a+1)%t.length];return o.reverse().join(e)}}},function(t,e,n){\"use strict\";var r=n(61);e.a=function(t,e){var i=n.i(r.a)(t,e);if(!i)return t+\"\";var o=i[0],a=i[1];return a<0?\"0.\"+new Array(-a).join(\"0\")+o:o.length>a+1?o.slice(0,a+1)+\".\"+o.slice(a+1):o+new Array(a-o.length+2).join(\"0\")}},function(t,e,n){\"use strict\";var r=n(42);e.a=function(t){return Math.max(0,-n.i(r.a)(Math.abs(t)))}},function(t,e,n){\"use strict\";var r=n(42);e.a=function(t,e){return Math.max(0,3*Math.max(-8,Math.min(8,Math.floor(n.i(r.a)(e)/3)))-n.i(r.a)(Math.abs(t)))}},function(t,e,n){\"use strict\";var r=n(42);e.a=function(t,e){return t=Math.abs(t),e=Math.abs(e)-t,Math.max(0,n.i(r.a)(e)-n.i(r.a)(t))+1}},function(t,e,n){\"use strict\";function r(t){return function e(r){function a(e,a){var u=t((e=n.i(i.cubehelix)(e)).h,(a=n.i(i.cubehelix)(a)).h),c=n.i(o.a)(e.s,a.s),s=n.i(o.a)(e.l,a.l),l=n.i(o.a)(e.opacity,a.opacity);return function(t){return e.h=u(t),e.s=c(t),e.l=s(Math.pow(t,r)),e.opacity=l(t),e+\"\"}}return r=+r,a.gamma=e,a}(1)}var i=n(10),o=n(32);n.d(e,\"a\",function(){return a});var a=(r(o.b),r(o.a))},function(t,e,n){\"use strict\";function r(t){return function(e,r){var a=t((e=n.i(i.hcl)(e)).h,(r=n.i(i.hcl)(r)).h),u=n.i(o.a)(e.c,r.c),c=n.i(o.a)(e.l,r.l),s=n.i(o.a)(e.opacity,r.opacity);return function(t){return e.h=a(t),e.c=u(t),e.l=c(t),e.opacity=s(t),e+\"\"}}}var i=n(10),o=n(32);r(o.b),r(o.a)},function(t,e,n){\"use strict\";function r(t){return function(e,r){var a=t((e=n.i(i.hsl)(e)).h,(r=n.i(i.hsl)(r)).h),u=n.i(o.a)(e.s,r.s),c=n.i(o.a)(e.l,r.l),s=n.i(o.a)(e.opacity,r.opacity);return function(t){return e.h=a(t),e.s=u(t),e.l=c(t),e.opacity=s(t),e+\"\"}}}var i=n(10),o=n(32);r(o.b),r(o.a)},function(t,e,n){\"use strict\";n(10),n(32)},function(t,e,n){\"use strict\"},function(t,e,n){\"use strict\";e.a=function(t,e){return t=+t,e-=t,function(n){return Math.round(t+e*n)}}},function(t,e,n){\"use strict\";n.d(e,\"a\",function(){return i});var r=180/Math.PI,i={translateX:0,translateY:0,rotate:0,skewX:0,scaleX:1,scaleY:1};e.b=function(t,e,n,i,o,a){var u,c,s;return(u=Math.sqrt(t*t+e*e))&&(t/=u,e/=u),(s=t*n+e*i)&&(n-=t*s,i-=e*s),(c=Math.sqrt(n*n+i*i))&&(n/=c,i/=c,s/=c),t*i<e*n&&(t=-t,e=-e,s=-s,u=-u),{translateX:o,translateY:a,rotate:Math.atan2(e,t)*r,skewX:Math.atan(s)*r,scaleX:u,scaleY:c}}},function(t,e,n){\"use strict\";function r(t,e,r,o){function a(t){return t.length?t.pop()+\" \":\"\"}function u(t,o,a,u,c,s){if(t!==a||o!==u){var l=c.push(\"translate(\",null,e,null,r);s.push({i:l-4,x:n.i(i.a)(t,a)},{i:l-2,x:n.i(i.a)(o,u)})}else(a||u)&&c.push(\"translate(\"+a+e+u+r)}function c(t,e,r,u){t!==e?(t-e>180?e+=360:e-t>180&&(t+=360),u.push({i:r.push(a(r)+\"rotate(\",null,o)-2,x:n.i(i.a)(t,e)})):e&&r.push(a(r)+\"rotate(\"+e+o)}function s(t,e,r,u){t!==e?u.push({i:r.push(a(r)+\"skewX(\",null,o)-2,x:n.i(i.a)(t,e)}):e&&r.push(a(r)+\"skewX(\"+e+o)}function l(t,e,r,o,u,c){if(t!==r||e!==o){var s=u.push(a(u)+\"scale(\",null,\",\",null,\")\");c.push({i:s-4,x:n.i(i.a)(t,r)},{i:s-2,x:n.i(i.a)(e,o)})}else 1===r&&1===o||u.push(a(u)+\"scale(\"+r+\",\"+o+\")\")}return function(e,n){var r=[],i=[];return e=t(e),n=t(n),u(e.translateX,e.translateY,n.translateX,n.translateY,r,i),c(e.rotate,n.rotate,r,i),s(e.skewX,n.skewX,r,i),l(e.scaleX,e.scaleY,n.scaleX,n.scaleY,r,i),e=n=null,function(t){for(var e,n=-1,o=i.length;++n<o;)r[(e=i[n]).i]=e.x(t);return r.join(\"\")}}}var i=n(43),o=n(226);r(o.a,\"px, \",\"px)\",\"deg)\"),r(o.b,\", \",\")\",\")\")},function(t,e,n){\"use strict\";function r(t){return\"none\"===t?o.a:(a||(a=document.createElement(\"DIV\"),u=document.documentElement,c=document.defaultView),a.style.transform=t,t=c.getComputedStyle(u.appendChild(a),null).getPropertyValue(\"transform\"),u.removeChild(a),t=t.slice(7,-1).split(\",\"),n.i(o.b)(+t[0],+t[1],+t[2],+t[3],+t[4],+t[5]))}function i(t){return null==t?o.a:(s||(s=document.createElementNS(\"http://www.w3.org/2000/svg\",\"g\")),s.setAttribute(\"transform\",t),(t=s.transform.baseVal.consolidate())?(t=t.matrix,n.i(o.b)(t.a,t.b,t.c,t.d,t.e,t.f)):o.a)}var o=n(224);e.a=r,e.b=i;var a,u,c,s},function(t,e,n){\"use strict\";Math.SQRT2},function(t,e,n){\"use strict\";function r(){this._x0=this._y0=this._x1=this._y1=null,this._=\"\"}function i(){return new r}var o=Math.PI,a=2*o,u=1e-6,c=a-u;r.prototype=i.prototype={constructor:r,moveTo:function(t,e){this._+=\"M\"+(this._x0=this._x1=+t)+\",\"+(this._y0=this._y1=+e)},closePath:function(){null!==this._x1&&(this._x1=this._x0,this._y1=this._y0,this._+=\"Z\")},lineTo:function(t,e){this._+=\"L\"+(this._x1=+t)+\",\"+(this._y1=+e)},quadraticCurveTo:function(t,e,n,r){this._+=\"Q\"+ +t+\",\"+ +e+\",\"+(this._x1=+n)+\",\"+(this._y1=+r)},bezierCurveTo:function(t,e,n,r,i,o){this._+=\"C\"+ +t+\",\"+ +e+\",\"+ +n+\",\"+ +r+\",\"+(this._x1=+i)+\",\"+(this._y1=+o)},arcTo:function(t,e,n,r,i){t=+t,e=+e,n=+n,r=+r,i=+i;var a=this._x1,c=this._y1,s=n-t,l=r-e,f=a-t,p=c-e,h=f*f+p*p;if(i<0)throw new Error(\"negative radius: \"+i);if(null===this._x1)this._+=\"M\"+(this._x1=t)+\",\"+(this._y1=e);else if(h>u)if(Math.abs(p*s-l*f)>u&&i){var d=n-a,v=r-c,g=s*s+l*l,m=d*d+v*v,y=Math.sqrt(g),_=Math.sqrt(h),b=i*Math.tan((o-Math.acos((g+h-m)/(2*y*_)))/2),x=b/_,w=b/y;Math.abs(x-1)>u&&(this._+=\"L\"+(t+x*f)+\",\"+(e+x*p)),this._+=\"A\"+i+\",\"+i+\",0,0,\"+ +(p*d>f*v)+\",\"+(this._x1=t+w*s)+\",\"+(this._y1=e+w*l)}else this._+=\"L\"+(this._x1=t)+\",\"+(this._y1=e);else;},arc:function(t,e,n,r,i,s){t=+t,e=+e,n=+n;var l=n*Math.cos(r),f=n*Math.sin(r),p=t+l,h=e+f,d=1^s,v=s?r-i:i-r;if(n<0)throw new Error(\"negative radius: \"+n);null===this._x1?this._+=\"M\"+p+\",\"+h:(Math.abs(this._x1-p)>u||Math.abs(this._y1-h)>u)&&(this._+=\"L\"+p+\",\"+h),n&&(v>c?this._+=\"A\"+n+\",\"+n+\",0,1,\"+d+\",\"+(t-l)+\",\"+(e-f)+\"A\"+n+\",\"+n+\",0,1,\"+d+\",\"+(this._x1=p)+\",\"+(this._y1=h):(v<0&&(v=v%a+a),this._+=\"A\"+n+\",\"+n+\",0,\"+ +(v>=o)+\",\"+d+\",\"+(this._x1=t+n*Math.cos(i))+\",\"+(this._y1=e+n*Math.sin(i))))},rect:function(t,e,n,r){this._+=\"M\"+(this._x0=this._x1=+t)+\",\"+(this._y0=this._y1=+e)+\"h\"+ +n+\"v\"+ +r+\"h\"+-n+\"Z\"},toString:function(){return this._}},e.a=i},function(t,e,n){\"use strict\";function r(){function t(){var t=c().length,r=l[1]<l[0],o=l[r-0],u=l[1-r];e=(u-o)/Math.max(1,t-p+2*h),f&&(e=Math.floor(e)),o+=(u-o-e*(t-p))*d,i=e*(1-p),f&&(o=Math.round(o),i=Math.round(i));var v=n.i(a.g)(t).map(function(t){return o+e*t});return s(r?v.reverse():v)}var e,i,o=n.i(u.a)().unknown(void 0),c=o.domain,s=o.range,l=[0,1],f=!1,p=0,h=0,d=.5;return delete o.unknown,o.domain=function(e){return arguments.length?(c(e),t()):c()},o.range=function(e){return arguments.length?(l=[+e[0],+e[1]],t()):l.slice()},o.rangeRound=function(e){return l=[+e[0],+e[1]],f=!0,t()},o.bandwidth=function(){return i},o.step=function(){return e},o.round=function(e){return arguments.length?(f=!!e,t()):f},o.padding=function(e){return arguments.length?(p=h=Math.max(0,Math.min(1,e)),t()):p},o.paddingInner=function(e){return arguments.length?(p=Math.max(0,Math.min(1,e)),t()):p},o.paddingOuter=function(e){return arguments.length?(h=Math.max(0,Math.min(1,e)),t()):h},o.align=function(e){return arguments.length?(d=Math.max(0,Math.min(1,e)),t()):d},o.copy=function(){return r().domain(c()).range(l).round(f).paddingInner(p).paddingOuter(h).align(d)},t()}function i(t){var e=t.copy;return t.padding=t.paddingOuter,delete t.paddingInner,delete t.paddingOuter,t.copy=function(){return i(e())},t}function o(){return i(r().paddingInner(1))}var a=n(12),u=n(127);e.a=r,e.b=o},function(t,e,n){\"use strict\";var r=n(33);e.a=n.i(r.a)(\"1f77b4ff7f0e2ca02cd627289467bd8c564be377c27f7f7fbcbd2217becf\")},function(t,e,n){\"use strict\";var r=n(33);e.a=n.i(r.a)(\"1f77b4aec7e8ff7f0effbb782ca02c98df8ad62728ff98969467bdc5b0d58c564bc49c94e377c2f7b6d27f7f7fc7c7c7bcbd22dbdb8d17becf9edae5\")},function(t,e,n){\"use strict\";var r=n(33);e.a=n.i(r.a)(\"393b795254a36b6ecf9c9ede6379398ca252b5cf6bcedb9c8c6d31bd9e39e7ba52e7cb94843c39ad494ad6616be7969c7b4173a55194ce6dbdde9ed6\")},function(t,e,n){\"use strict\";var r=n(33);e.a=n.i(r.a)(\"3182bd6baed69ecae1c6dbefe6550dfd8d3cfdae6bfdd0a231a35474c476a1d99bc7e9c0756bb19e9ac8bcbddcdadaeb636363969696bdbdbdd9d9d9\")},function(t,e,n){\"use strict\";var r=n(10),i=n(31);e.a=n.i(i.d)(n.i(r.cubehelix)(300,.5,0),n.i(r.cubehelix)(-240,.5,1))},function(t,e,n){\"use strict\";function r(){function t(t){return+t}var e=[0,1];return t.invert=t,t.domain=t.range=function(n){return arguments.length?(e=i.a.call(n,a.a),t):e.slice()},t.copy=function(){return r().domain(e)},n.i(o.b)(t)}var i=n(16),o=n(34),a=n(126);e.a=r},function(t,e,n){\"use strict\";function r(t,e){return(e=Math.log(e/t))?function(n){return Math.log(n/t)/e}:n.i(p.a)(e)}function i(t,e){return t<0?function(n){return-Math.pow(-e,n)*Math.pow(-t,1-n)}:function(n){return Math.pow(e,n)*Math.pow(t,1-n)}}function o(t){return isFinite(t)?+(\"1e\"+t):t<0?0:t}function a(t){return 10===t?o:t===Math.E?Math.exp:function(e){return Math.pow(t,e)}}function u(t){return t===Math.E?Math.log:10===t&&Math.log10||2===t&&Math.log2||(t=Math.log(t),function(e){return Math.log(e)/t})}function c(t){return function(e){return-t(-e)}}function s(){function t(){return v=u(p),g=a(p),o()[0]<0&&(v=c(v),g=c(g)),e}var e=n.i(d.a)(r,i).domain([1,10]),o=e.domain,p=10,v=u(10),g=a(10);return e.base=function(e){return arguments.length?(p=+e,t()):p},e.domain=function(e){return arguments.length?(o(e),t()):o()},e.ticks=function(t){var e,r=o(),i=r[0],a=r[r.length-1];(e=a<i)&&(f=i,i=a,a=f);var u,c,s,f=v(i),h=v(a),d=null==t?10:+t,m=[];if(!(p%1)&&h-f<d){if(f=Math.round(f)-1,h=Math.round(h)+1,i>0){for(;f<h;++f)for(c=1,u=g(f);c<p;++c)if(s=u*c,!(s<i)){if(s>a)break;m.push(s)}}else for(;f<h;++f)for(c=p-1,u=g(f);c>=1;--c)if(s=u*c,!(s<i)){if(s>a)break;m.push(s)}}else m=n.i(l.a)(f,h,Math.min(h-f,d)).map(g);return e?m.reverse():m},e.tickFormat=function(t,r){if(null==r&&(r=10===p?\".0e\":\",\"),\"function\"!=typeof r&&(r=n.i(f.format)(r)),t===1/0)return r;null==t&&(t=10);var i=Math.max(1,p*t/e.ticks().length);return function(t){var e=t/g(Math.round(v(t)));return e*p<p-.5&&(e*=p),e<=i?r(t):\"\"}},e.nice=function(){return o(n.i(h.a)(o(),{floor:function(t){return g(Math.floor(v(t)))},ceil:function(t){return g(Math.ceil(v(t)))}}))},e.copy=function(){return n.i(d.c)(e,s().base(p))},e}var l=n(12),f=n(30),p=n(65),h=n(125),d=n(45);e.a=s},function(t,e,n){\"use strict\";function r(t,e){return t<0?-Math.pow(-t,e):Math.pow(t,e)}function i(){function t(t,e){return(e=r(e,o)-(t=r(t,o)))?function(n){return(r(n,o)-t)/e}:n.i(a.a)(e)}function e(t,e){return e=r(e,o)-(t=r(t,o)),function(n){return r(t+e*n,1/o)}}var o=1,s=n.i(c.a)(t,e),l=s.domain;return s.exponent=function(t){return arguments.length?(o=+t,l(l())):o},s.copy=function(){return n.i(c.c)(s,i().exponent(o))},n.i(u.b)(s)}function o(){return i().exponent(.5)}var a=n(65),u=n(34),c=n(45);e.a=i,e.b=o},function(t,e,n){\"use strict\";function r(){function t(){var t=0,r=Math.max(1,u.length);for(c=new Array(r-1);++t<r;)c[t-1]=n.i(i.e)(a,t/r);return e}function e(t){if(!isNaN(t=+t))return u[n.i(i.c)(c,t)]}var a=[],u=[],c=[];return e.invertExtent=function(t){var e=u.indexOf(t);return e<0?[NaN,NaN]:[e>0?c[e-1]:a[0],e<c.length?c[e]:a[a.length-1]]},e.domain=function(e){if(!arguments.length)return a.slice();a=[];for(var n,r=0,o=e.length;r<o;++r)n=e[r],null==n||isNaN(n=+n)||a.push(n);return a.sort(i.f),t()},e.range=function(e){return arguments.length?(u=o.b.call(e),t()):u.slice()},e.quantiles=function(){return c.slice()},e.copy=function(){return r().domain(a).range(u)},e}var i=n(12),o=n(16);e.a=r},function(t,e,n){\"use strict\";function r(){function t(t){if(t<=t)return f[n.i(i.c)(l,t,0,s)]}function e(){var e=-1;for(l=new Array(s);++e<s;)l[e]=((e+1)*c-(e-s)*u)/(s+1);return t}var u=0,c=1,s=1,l=[.5],f=[0,1];return t.domain=function(t){return arguments.length?(u=+t[0],c=+t[1],e()):[u,c]},t.range=function(t){return arguments.length?(s=(f=o.b.call(t)).length-1,e()):f.slice()},t.invertExtent=function(t){var e=f.indexOf(t);return e<0?[NaN,NaN]:e<1?[u,l[0]]:e>=s?[l[s-1],c]:[l[e-1],l[e]]},t.copy=function(){return r().domain([u,c]).range(f)},n.i(a.b)(t)}var i=n(12),o=n(16),a=n(34);e.a=r},function(t,e,n){\"use strict\";var r=n(10),i=n(31);n.d(e,\"b\",function(){return o}),n.d(e,\"c\",function(){return a});var o=n.i(i.d)(n.i(r.cubehelix)(-100,.75,.35),n.i(r.cubehelix)(80,1.5,.8)),a=n.i(i.d)(n.i(r.cubehelix)(260,.75,.35),n.i(r.cubehelix)(80,1.5,.8)),u=n.i(r.cubehelix)();e.a=function(t){(t<0||t>1)&&(t-=Math.floor(t));var e=Math.abs(t-.5);return u.h=360*t-100,u.s=1.5-1.5*e,u.l=.8-.9*e,u+\"\"}},function(t,e,n){\"use strict\";function r(t){function e(e){var n=(e-o)/(a-o);return t(u?Math.max(0,Math.min(1,n)):n)}var o=0,a=1,u=!1;return e.domain=function(t){return arguments.length?(o=+t[0],a=+t[1],e):[o,a]},e.clamp=function(t){return arguments.length?(u=!!t,e):u},e.interpolator=function(n){return arguments.length?(t=n,e):t},e.copy=function(){return r(t).domain([o,a]).clamp(u)},n.i(i.b)(e)}var i=n(34);e.a=r},function(t,e,n){\"use strict\";function r(){function t(t){if(t<=t)return a[n.i(i.c)(e,t,0,u)]}var e=[.5],a=[0,1],u=1;return t.domain=function(n){return arguments.length?(e=o.b.call(n),u=Math.min(e.length,a.length-1),t):e.slice()},t.range=function(n){return arguments.length?(a=o.b.call(n),u=Math.min(e.length,a.length-1),t):a.slice()},t.invertExtent=function(t){var n=a.indexOf(t);return[e[n-1],e[n]]},t.copy=function(){return r().domain(e).range(a)},t}var i=n(12),o=n(16);e.a=r},function(t,e,n){\"use strict\";var r=n(12),i=n(30);e.a=function(t,e,o){var a,u=t[0],c=t[t.length-1],s=n.i(r.b)(u,c,null==e?10:e);switch(o=n.i(i.formatSpecifier)(null==o?\",f\":o),o.type){case\"s\":var l=Math.max(Math.abs(u),Math.abs(c));return null!=o.precision||isNaN(a=n.i(i.precisionPrefix)(s,l))||(o.precision=a),n.i(i.formatPrefix)(o,l);case\"\":case\"e\":case\"g\":case\"p\":case\"r\":null!=o.precision||isNaN(a=n.i(i.precisionRound)(s,Math.max(Math.abs(u),Math.abs(c))))||(o.precision=a-(\"e\"===o.type));break;case\"f\":case\"%\":null!=o.precision||isNaN(a=n.i(i.precisionFixed)(s))||(o.precision=a-2*(\"%\"===o.type))}return n.i(i.format)(o)}},function(t,e,n){\"use strict\";var r=n(128),i=n(77),o=n(79);e.a=function(){return n.i(r.b)(o.f,o.i,o.j,o.e,o.k,o.l,o.m,o.n,i.utcFormat).domain([Date.UTC(2e3,0,1),Date.UTC(2e3,0,2)])}},function(t,e,n){\"use strict\";function r(t){var e=t.length;return function(n){return t[Math.max(0,Math.min(e-1,Math.floor(n*e)))]}}var i=n(33);n.d(e,\"b\",function(){return o}),n.d(e,\"c\",function(){return a}),n.d(e,\"d\",function(){return u}),e.a=r(n.i(i.a)(\"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\"));var o=r(n.i(i.a)(\"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\")),a=r(n.i(i.a)(\"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\")),u=r(n.i(i.a)(\"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\"))},function(t,e,n){\"use strict\";e.a=function(t){return function(){return t}}},function(t,e,n){\"use strict\";function r(){return new i}function i(){this._=\"@\"+(++o).toString(36)}e.a=r;var o=0;i.prototype=r.prototype={constructor:i,get:function(t){for(var e=this._;!(e in t);)if(!(t=t.parentNode))return;return t[e]},set:function(t,e){return t[this._]=e},remove:function(t){return this._ in t&&delete t[this._]},toString:function(){return this._}}},function(t,e,n){\"use strict\";var r=n(72),i=n(69);e.a=function(t){var e=n.i(r.a)();return e.changedTouches&&(e=e.changedTouches[0]),n.i(i.a)(t,e)}},function(t,e,n){\"use strict\";var r=n(7);e.a=function(t){return\"string\"==typeof t?new r.b([[document.querySelector(t)]],[document.documentElement]):new r.b([[t]],r.c)}},function(t,e,n){\"use strict\";var r=n(7);e.a=function(t){return\"string\"==typeof t?new r.b([document.querySelectorAll(t)],[document.documentElement]):new r.b([null==t?[]:t],r.c)}},function(t,e,n){\"use strict\";var r=n(66);e.a=function(t){var e=\"function\"==typeof t?t:n.i(r.a)(t);return this.select(function(){return this.appendChild(e.apply(this,arguments))})}},function(t,e,n){\"use strict\";function r(t){return function(){this.removeAttribute(t)}}function i(t){return function(){this.removeAttributeNS(t.space,t.local)}}function o(t,e){return function(){this.setAttribute(t,e)}}function a(t,e){return function(){this.setAttributeNS(t.space,t.local,e)}}function u(t,e){return function(){var n=e.apply(this,arguments);null==n?this.removeAttribute(t):this.setAttribute(t,n)}}function c(t,e){return function(){var n=e.apply(this,arguments);null==n?this.removeAttributeNS(t.space,t.local):this.setAttributeNS(t.space,t.local,n)}}var s=n(67);e.a=function(t,e){var l=n.i(s.a)(t);if(arguments.length<2){var f=this.node();return l.local?f.getAttributeNS(l.space,l.local):f.getAttribute(l)}return this.each((null==e?l.local?i:r:\"function\"==typeof e?l.local?c:u:l.local?a:o)(l,e))}},function(t,e,n){\"use strict\";e.a=function(){var t=arguments[0];return arguments[0]=this,t.apply(null,arguments),this}},function(t,e,n){\"use strict\";function r(t){return t.trim().split(/^|\\s+/)}function i(t){return t.classList||new o(t)}function o(t){this._node=t,this._names=r(t.getAttribute(\"class\")||\"\")}function a(t,e){for(var n=i(t),r=-1,o=e.length;++r<o;)n.add(e[r])}function u(t,e){for(var n=i(t),r=-1,o=e.length;++r<o;)n.remove(e[r])}function c(t){return function(){a(this,t)}}function s(t){return function(){u(this,t)}}function l(t,e){return function(){(e.apply(this,arguments)?a:u)(this,t)}}o.prototype={add:function(t){var e=this._names.indexOf(t);e<0&&(this._names.push(t),this._node.setAttribute(\"class\",this._names.join(\" \")))},remove:function(t){var e=this._names.indexOf(t);e>=0&&(this._names.splice(e,1),this._node.setAttribute(\"class\",this._names.join(\" \")))},contains:function(t){return this._names.indexOf(t)>=0}},e.a=function(t,e){var n=r(t+\"\");if(arguments.length<2){for(var o=i(this.node()),a=-1,u=n.length;++a<u;)if(!o.contains(n[a]))return!1;return!0}return this.each((\"function\"==typeof e?l:e?c:s)(n,e))}},function(t,e,n){\"use strict\";function r(t,e,n,r,i,o){for(var u,c=0,s=e.length,l=o.length;c<l;++c)(u=e[c])?(u.__data__=o[c],r[c]=u):n[c]=new a.b(t,o[c]);for(;c<s;++c)(u=e[c])&&(i[c]=u)}function i(t,e,n,r,i,o,u){var s,l,f,p={},h=e.length,d=o.length,v=new Array(h);for(s=0;s<h;++s)(l=e[s])&&(v[s]=f=c+u.call(l,l.__data__,s,e),f in p?i[s]=l:p[f]=l);for(s=0;s<d;++s)f=c+u.call(t,o[s],s,o),(l=p[f])?(r[s]=l,l.__data__=o[s],p[f]=null):n[s]=new a.b(t,o[s]);for(s=0;s<h;++s)(l=e[s])&&p[v[s]]===l&&(i[s]=l)}var o=n(7),a=n(131),u=n(246),c=\"$\";e.a=function(t,e){if(!t)return y=new Array(this.size()),d=-1,this.each(function(t){y[++d]=t}),y;var a=e?i:r,c=this._parents,s=this._groups;\"function\"!=typeof t&&(t=n.i(u.a)(t));for(var l=s.length,f=new Array(l),p=new Array(l),h=new Array(l),d=0;d<l;++d){var v=c[d],g=s[d],m=g.length,y=t.call(v,v&&v.__data__,d,c),_=y.length,b=p[d]=new Array(_),x=f[d]=new Array(_),w=h[d]=new Array(m);a(v,g,b,x,w,y,e);for(var C,M,k=0,E=0;k<_;++k)if(C=b[k]){for(k>=E&&(E=k+1);!(M=x[E])&&++E<_;);C._next=M||null}}return f=new o.b(f,c),f._enter=p,f._exit=h,f}},function(t,e,n){\"use strict\";e.a=function(t){return arguments.length?this.property(\"__data__\",t):this.node().__data__}},function(t,e,n){\"use strict\";function r(t,e,r){var i=n.i(a.a)(t),o=i.CustomEvent;o?o=new o(e,r):(o=i.document.createEvent(\"Event\"),r?(o.initEvent(e,r.bubbles,r.cancelable),o.detail=r.detail):o.initEvent(e,!1,!1)),t.dispatchEvent(o)}function i(t,e){return function(){return r(this,t,e)}}function o(t,e){return function(){return r(this,t,e.apply(this,arguments))}}var a=n(73);e.a=function(t,e){return this.each((\"function\"==typeof e?o:i)(t,e))}},function(t,e,n){\"use strict\";e.a=function(t){for(var e=this._groups,n=0,r=e.length;n<r;++n)for(var i,o=e[n],a=0,u=o.length;a<u;++a)(i=o[a])&&t.call(i,i.__data__,a,o);return this}},function(t,e,n){\"use strict\";e.a=function(){return!this.node()}},function(t,e,n){\"use strict\";var r=n(132),i=n(7);e.a=function(){return new i.b(this._exit||this._groups.map(r.a),this._parents)}},function(t,e,n){\"use strict\";var r=n(7),i=n(130);e.a=function(t){\"function\"!=typeof t&&(t=n.i(i.a)(t));for(var e=this._groups,o=e.length,a=new Array(o),u=0;u<o;++u)for(var c,s=e[u],l=s.length,f=a[u]=[],p=0;p<l;++p)(c=s[p])&&t.call(c,c.__data__,p,s)&&f.push(c);return new r.b(a,this._parents)}},function(t,e,n){\"use strict\";function r(){this.innerHTML=\"\"}function i(t){return function(){this.innerHTML=t}}function o(t){return function(){var e=t.apply(this,arguments);this.innerHTML=null==e?\"\":e}}e.a=function(t){return arguments.length?this.each(null==t?r:(\"function\"==typeof t?o:i)(t)):this.node().innerHTML}},function(t,e,n){\"use strict\";function r(){return null}var i=n(66),o=n(71);e.a=function(t,e){var a=\"function\"==typeof t?t:n.i(i.a)(t),u=null==e?r:\"function\"==typeof e?e:n.i(o.a)(e);return this.select(function(){return this.insertBefore(a.apply(this,arguments),u.apply(this,arguments)||null)})}},function(t,e,n){\"use strict\";function r(){this.previousSibling&&this.parentNode.insertBefore(this,this.parentNode.firstChild)}e.a=function(){return this.each(r)}},function(t,e,n){\"use strict\";var r=n(7);e.a=function(t){for(var e=this._groups,n=t._groups,i=e.length,o=n.length,a=Math.min(i,o),u=new Array(i),c=0;c<a;++c)for(var s,l=e[c],f=n[c],p=l.length,h=u[c]=new Array(p),d=0;d<p;++d)(s=l[d]||f[d])&&(h[d]=s);for(;c<i;++c)u[c]=e[c];return new r.b(u,this._parents)}},function(t,e,n){\"use strict\";e.a=function(){for(var t=this._groups,e=0,n=t.length;e<n;++e)for(var r=t[e],i=0,o=r.length;i<o;++i){var a=r[i];if(a)return a}return null}},function(t,e,n){\"use strict\";e.a=function(){var t=new Array(this.size()),e=-1;return this.each(function(){t[++e]=this}),t}},function(t,e,n){\"use strict\";e.a=function(){for(var t=this._groups,e=-1,n=t.length;++e<n;)for(var r,i=t[e],o=i.length-1,a=i[o];--o>=0;)(r=i[o])&&(a&&a!==r.nextSibling&&a.parentNode.insertBefore(r,a),a=r);return this}},function(t,e,n){\"use strict\";function r(t){return function(){delete this[t]}}function i(t,e){return function(){this[t]=e}}function o(t,e){return function(){var n=e.apply(this,arguments);null==n?delete this[t]:this[t]=n}}e.a=function(t,e){return arguments.length>1?this.each((null==e?r:\"function\"==typeof e?o:i)(t,e)):this.node()[t]}},function(t,e,n){\"use strict\";function r(){this.nextSibling&&this.parentNode.appendChild(this)}e.a=function(){return this.each(r)}},function(t,e,n){\"use strict\";function r(){var t=this.parentNode;t&&t.removeChild(this)}e.a=function(){return this.each(r)}},function(t,e,n){\"use strict\";var r=n(7),i=n(71);e.a=function(t){\"function\"!=typeof t&&(t=n.i(i.a)(t));for(var e=this._groups,o=e.length,a=new Array(o),u=0;u<o;++u)for(var c,s,l=e[u],f=l.length,p=a[u]=new Array(f),h=0;h<f;++h)(c=l[h])&&(s=t.call(c,c.__data__,h,l))&&(\"__data__\"in c&&(s.__data__=c.__data__),p[h]=s);return new r.b(a,this._parents)}},function(t,e,n){\"use strict\";var r=n(7),i=n(133);e.a=function(t){\"function\"!=typeof t&&(t=n.i(i.a)(t));for(var e=this._groups,o=e.length,a=[],u=[],c=0;c<o;++c)for(var s,l=e[c],f=l.length,p=0;p<f;++p)(s=l[p])&&(a.push(t.call(s,s.__data__,p,l)),u.push(s));return new r.b(a,u)}},function(t,e,n){\"use strict\";e.a=function(){var t=0;return this.each(function(){++t}),t}},function(t,e,n){\"use strict\";function r(t,e){return t<e?-1:t>e?1:t>=e?0:NaN}var i=n(7);e.a=function(t){function e(e,n){return e&&n?t(e.__data__,n.__data__):!e-!n}t||(t=r);for(var n=this._groups,o=n.length,a=new Array(o),u=0;u<o;++u){for(var c,s=n[u],l=s.length,f=a[u]=new Array(l),p=0;p<l;++p)(c=s[p])&&(f[p]=c);f.sort(e)}return new i.b(a,this._parents).order()}},function(t,e,n){\"use strict\";function r(t){return function(){this.style.removeProperty(t)}}function i(t,e,n){return function(){this.style.setProperty(t,e,n)}}function o(t,e,n){return function(){var r=e.apply(this,arguments);null==r?this.style.removeProperty(t):this.style.setProperty(t,r,n)}}var a=n(73);e.a=function(t,e,u){var c;return arguments.length>1?this.each((null==e?r:\"function\"==typeof e?o:i)(t,e,null==u?\"\":u)):n.i(a.a)(c=this.node()).getComputedStyle(c,null).getPropertyValue(t)}},function(t,e,n){\"use strict\";function r(){this.textContent=\"\"}function i(t){return function(){this.textContent=t}}function o(t){return function(){var e=t.apply(this,arguments);this.textContent=null==e?\"\":e}}e.a=function(t){return arguments.length?this.each(null==t?r:(\"function\"==typeof t?o:i)(t)):this.node().textContent}},function(t,e,n){\"use strict\";var r=n(72),i=n(69);e.a=function(t,e,o){arguments.length<3&&(o=e,e=n.i(r.a)().changedTouches);for(var a,u=0,c=e?e.length:0;u<c;++u)if((a=e[u]).identifier===o)return n.i(i.a)(t,a);return null}},function(t,e,n){\"use strict\";var r=n(72),i=n(69);e.a=function(t,e){null==e&&(e=n.i(r.a)().touches);for(var o=0,a=e?e.length:0,u=new Array(a);o<a;++o)u[o]=n.i(i.a)(t,e[o]);return u}},function(t,e,n){\"use strict\";function r(t){return t.innerRadius}function i(t){return t.outerRadius}function o(t){return t.startAngle}function a(t){return t.endAngle}function u(t){return t&&t.padAngle}function c(t){return t>=1?h.d:t<=-1?-h.d:Math.asin(t)}function s(t,e,n,r,i,o,a,u){var c=n-t,s=r-e,l=a-i,f=u-o,p=(l*(e-o)-f*(t-i))/(f*c-l*s);return[t+p*c,e+p*s]}function l(t,e,n,r,i,o,a){var u=t-n,c=e-r,s=(a?o:-o)/Math.sqrt(u*u+c*c),l=s*c,f=-s*u,p=t+l,h=e+f,d=n+l,v=r+f,g=(p+d)/2,m=(h+v)/2,y=d-p,_=v-h,b=y*y+_*_,x=i-o,w=p*v-d*h,C=(_<0?-1:1)*Math.sqrt(Math.max(0,x*x*b-w*w)),M=(w*_-y*C)/b,k=(-w*y-_*C)/b,E=(w*_+y*C)/b,T=(-w*y+_*C)/b,S=M-g,P=k-m,N=E-g,A=T-m;return S*S+P*P>N*N+A*A&&(M=E,k=T),{cx:M,cy:k,x01:-l,y01:-f,x11:M*(i/x-1),y11:k*(i/x-1)}}var f=n(44),p=n(19),h=n(35);e.a=function(){function t(){var t,r,i=+e.apply(this,arguments),o=+d.apply(this,arguments),a=m.apply(this,arguments)-h.d,u=y.apply(this,arguments)-h.d,p=Math.abs(u-a),x=u>a;if(b||(b=t=n.i(f.a)()),o<i&&(r=o,o=i,i=r),o>h.a)if(p>h.c-h.a)b.moveTo(o*Math.cos(a),o*Math.sin(a)),b.arc(0,0,o,a,u,!x),i>h.a&&(b.moveTo(i*Math.cos(u),i*Math.sin(u)),b.arc(0,0,i,u,a,x));else{var w,C,M=a,k=u,E=a,T=u,S=p,P=p,N=_.apply(this,arguments)/2,A=N>h.a&&(g?+g.apply(this,arguments):Math.sqrt(i*i+o*o)),O=Math.min(Math.abs(o-i)/2,+v.apply(this,arguments)),I=O,D=O;\n",
       "if(A>h.a){var R=c(A/i*Math.sin(N)),L=c(A/o*Math.sin(N));(S-=2*R)>h.a?(R*=x?1:-1,E+=R,T-=R):(S=0,E=T=(a+u)/2),(P-=2*L)>h.a?(L*=x?1:-1,M+=L,k-=L):(P=0,M=k=(a+u)/2)}var U=o*Math.cos(M),F=o*Math.sin(M),j=i*Math.cos(T),B=i*Math.sin(T);if(O>h.a){var W=o*Math.cos(k),V=o*Math.sin(k),z=i*Math.cos(E),H=i*Math.sin(E);if(p<h.b){var q=S>h.a?s(U,F,z,H,W,V,j,B):[j,B],Y=U-q[0],K=F-q[1],G=W-q[0],$=V-q[1],X=1/Math.sin(Math.acos((Y*G+K*$)/(Math.sqrt(Y*Y+K*K)*Math.sqrt(G*G+$*$)))/2),Z=Math.sqrt(q[0]*q[0]+q[1]*q[1]);I=Math.min(O,(i-Z)/(X-1)),D=Math.min(O,(o-Z)/(X+1))}}P>h.a?D>h.a?(w=l(z,H,U,F,o,D,x),C=l(W,V,j,B,o,D,x),b.moveTo(w.cx+w.x01,w.cy+w.y01),D<O?b.arc(w.cx,w.cy,D,Math.atan2(w.y01,w.x01),Math.atan2(C.y01,C.x01),!x):(b.arc(w.cx,w.cy,D,Math.atan2(w.y01,w.x01),Math.atan2(w.y11,w.x11),!x),b.arc(0,0,o,Math.atan2(w.cy+w.y11,w.cx+w.x11),Math.atan2(C.cy+C.y11,C.cx+C.x11),!x),b.arc(C.cx,C.cy,D,Math.atan2(C.y11,C.x11),Math.atan2(C.y01,C.x01),!x))):(b.moveTo(U,F),b.arc(0,0,o,M,k,!x)):b.moveTo(U,F),i>h.a&&S>h.a?I>h.a?(w=l(j,B,W,V,i,-I,x),C=l(U,F,z,H,i,-I,x),b.lineTo(w.cx+w.x01,w.cy+w.y01),I<O?b.arc(w.cx,w.cy,I,Math.atan2(w.y01,w.x01),Math.atan2(C.y01,C.x01),!x):(b.arc(w.cx,w.cy,I,Math.atan2(w.y01,w.x01),Math.atan2(w.y11,w.x11),!x),b.arc(0,0,i,Math.atan2(w.cy+w.y11,w.cx+w.x11),Math.atan2(C.cy+C.y11,C.cx+C.x11),x),b.arc(C.cx,C.cy,I,Math.atan2(C.y11,C.x11),Math.atan2(C.y01,C.x01),!x))):b.arc(0,0,i,T,E,x):b.lineTo(j,B)}else b.moveTo(0,0);if(b.closePath(),t)return b=null,t+\"\"||null}var e=r,d=i,v=n.i(p.a)(0),g=null,m=o,y=a,_=u,b=null;return t.centroid=function(){var t=(+e.apply(this,arguments)+ +d.apply(this,arguments))/2,n=(+m.apply(this,arguments)+ +y.apply(this,arguments))/2-h.b/2;return[Math.cos(n)*t,Math.sin(n)*t]},t.innerRadius=function(r){return arguments.length?(e=\"function\"==typeof r?r:n.i(p.a)(+r),t):e},t.outerRadius=function(e){return arguments.length?(d=\"function\"==typeof e?e:n.i(p.a)(+e),t):d},t.cornerRadius=function(e){return arguments.length?(v=\"function\"==typeof e?e:n.i(p.a)(+e),t):v},t.padRadius=function(e){return arguments.length?(g=null==e?null:\"function\"==typeof e?e:n.i(p.a)(+e),t):g},t.startAngle=function(e){return arguments.length?(m=\"function\"==typeof e?e:n.i(p.a)(+e),t):m},t.endAngle=function(e){return arguments.length?(y=\"function\"==typeof e?e:n.i(p.a)(+e),t):y},t.padAngle=function(e){return arguments.length?(_=\"function\"==typeof e?e:n.i(p.a)(+e),t):_},t.context=function(e){return arguments.length?(b=null==e?null:e,t):b},t}},function(t,e,n){\"use strict\";n.d(e,\"a\",function(){return r});var r=Array.prototype.slice},function(t,e,n){\"use strict\";function r(t){this._context=t}var i=n(49),o=n(46);r.prototype={areaStart:i.a,areaEnd:i.a,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._x2=t,this._y2=e;break;case 1:this._point=2,this._x3=t,this._y3=e;break;case 2:this._point=3,this._x4=t,this._y4=e,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+e)/6);break;default:n.i(o.c)(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},e.a=function(t){return new r(t)}},function(t,e,n){\"use strict\";function r(t){this._context=t}var i=n(46);r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var r=(this._x0+4*this._x1+t)/6,o=(this._y0+4*this._y1+e)/6;this._line?this._context.lineTo(r,o):this._context.moveTo(r,o);break;case 3:this._point=4;default:n.i(i.c)(this,t,e)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e}},e.a=function(t){return new r(t)}},function(t,e,n){\"use strict\";function r(t,e){this._basis=new i.b(t),this._beta=e}var i=n(46);r.prototype={lineStart:function(){this._x=[],this._y=[],this._basis.lineStart()},lineEnd:function(){var t=this._x,e=this._y,n=t.length-1;if(n>0)for(var r,i=t[0],o=e[0],a=t[n]-i,u=e[n]-o,c=-1;++c<=n;)r=c/n,this._basis.point(this._beta*t[c]+(1-this._beta)*(i+r*a),this._beta*e[c]+(1-this._beta)*(o+r*u));this._x=this._y=null,this._basis.lineEnd()},point:function(t,e){this._x.push(+t),this._y.push(+e)}},e.a=function t(e){function n(t){return 1===e?new i.b(t):new r(t,e)}return n.beta=function(e){return t(+e)},n}(.85)},function(t,e,n){\"use strict\";function r(t,e){this._context=t,this._alpha=e}var i=n(136),o=n(49),a=n(74);r.prototype={areaStart:o.a,areaEnd:o.a,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,i=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+i*i,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=e;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=e);break;case 2:this._point=3,this._x5=t,this._y5=e;break;default:n.i(a.b)(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return e?new r(t,e):new i.b(t,0)}return n.alpha=function(e){return t(+e)},n}(.5)},function(t,e,n){\"use strict\";function r(t,e){this._context=t,this._alpha=e}var i=n(137),o=n(74);r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){if(t=+t,e=+e,this._point){var r=this._x2-t,i=this._y2-e;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(r*r+i*i,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:n.i(o.b)(this,t,e)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=e}},e.a=function t(e){function n(t){return e?new r(t,e):new i.b(t,0)}return n.alpha=function(e){return t(+e)},n}(.5)},function(t,e,n){\"use strict\";function r(t){this._context=t}var i=n(49);r.prototype={areaStart:i.a,areaEnd:i.a,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(t,e){t=+t,e=+e,this._point?this._context.lineTo(t,e):(this._point=1,this._context.moveTo(t,e))}},e.a=function(t){return new r(t)}},function(t,e,n){\"use strict\";function r(t){return t<0?-1:1}function i(t,e,n){var i=t._x1-t._x0,o=e-t._x1,a=(t._y1-t._y0)/(i||o<0&&-0),u=(n-t._y1)/(o||i<0&&-0),c=(a*o+u*i)/(i+o);return(r(a)+r(u))*Math.min(Math.abs(a),Math.abs(u),.5*Math.abs(c))||0}function o(t,e){var n=t._x1-t._x0;return n?(3*(t._y1-t._y0)/n-e)/2:e}function a(t,e,n){var r=t._x0,i=t._y0,o=t._x1,a=t._y1,u=(o-r)/3;t._context.bezierCurveTo(r+u,i+u*e,o-u,a-u*n,o,a)}function u(t){this._context=t}function c(t){this._context=new s(t)}function s(t){this._context=t}function l(t){return new u(t)}function f(t){return new c(t)}e.a=l,e.b=f,u.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:a(this,this._t0,o(this,this._t0))}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,e){var n=NaN;if(t=+t,e=+e,t!==this._x1||e!==this._y1){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;break;case 2:this._point=3,a(this,o(this,n=i(this,t,e)),n);break;default:a(this,this._t0,n=i(this,t,e))}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=e,this._t0=n}}},(c.prototype=Object.create(u.prototype)).point=function(t,e){u.prototype.point.call(this,e,t)},s.prototype={moveTo:function(t,e){this._context.moveTo(e,t)},closePath:function(){this._context.closePath()},lineTo:function(t,e){this._context.lineTo(e,t)},bezierCurveTo:function(t,e,n,r,i,o){this._context.bezierCurveTo(e,t,r,n,o,i)}}},function(t,e,n){\"use strict\";function r(t){this._context=t}function i(t){var e,n,r=t.length-1,i=new Array(r),o=new Array(r),a=new Array(r);for(i[0]=0,o[0]=2,a[0]=t[0]+2*t[1],e=1;e<r-1;++e)i[e]=1,o[e]=4,a[e]=4*t[e]+2*t[e+1];for(i[r-1]=2,o[r-1]=7,a[r-1]=8*t[r-1]+t[r],e=1;e<r;++e)n=i[e]/o[e-1],o[e]-=n,a[e]-=n*a[e-1];for(i[r-1]=a[r-1]/o[r-1],e=r-2;e>=0;--e)i[e]=(a[e]-i[e+1])/o[e];for(o[r-1]=(t[r]+i[r-1])/2,e=0;e<r-1;++e)o[e]=2*t[e+1]-i[e+1];return[i,o]}r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var t=this._x,e=this._y,n=t.length;if(n)if(this._line?this._context.lineTo(t[0],e[0]):this._context.moveTo(t[0],e[0]),2===n)this._context.lineTo(t[1],e[1]);else for(var r=i(t),o=i(e),a=0,u=1;u<n;++a,++u)this._context.bezierCurveTo(r[0][a],o[0][a],r[1][a],o[1][a],t[u],e[u]);(this._line||0!==this._line&&1===n)&&this._context.closePath(),this._line=1-this._line,this._x=this._y=null},point:function(t,e){this._x.push(+t),this._y.push(+e)}},e.a=function(t){return new r(t)}},function(t,e,n){\"use strict\";function r(t,e){this._context=t,this._t=e}function i(t){return new r(t,0)}function o(t){return new r(t,1)}e.c=i,e.b=o,r.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=this._y=NaN,this._point=0},lineEnd:function(){0<this._t&&this._t<1&&2===this._point&&this._context.lineTo(this._x,this._y),(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line>=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,e){switch(t=+t,e=+e,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,e):this._context.moveTo(t,e);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,e),this._context.lineTo(t,e);else{var n=this._x*(1-this._t)+t*this._t;this._context.lineTo(n,this._y),this._context.lineTo(n,e)}}this._x=t,this._y=e}},e.a=function(t){return new r(t,.5)}},function(t,e,n){\"use strict\";e.a=function(t,e){return e<t?-1:e>t?1:e>=t?0:NaN}},function(t,e,n){\"use strict\";e.a=function(t){return t}},function(t,e,n){\"use strict\";var r=n(36);e.a=function(t,e){if((o=t.length)>0){for(var i,o,a,u=0,c=t[0].length;u<c;++u){for(a=i=0;i<o;++i)a+=t[i][u][1]||0;if(a)for(i=0;i<o;++i)t[i][u][1]/=a}n.i(r.a)(t,e)}}},function(t,e,n){\"use strict\";var r=n(36);e.a=function(t,e){if((i=t.length)>0){for(var i,o=0,a=t[e[0]],u=a.length;o<u;++o){for(var c=0,s=0;c<i;++c)s+=t[c][o][1]||0;a[o][1]+=a[o][0]=-s/2}n.i(r.a)(t,e)}}},function(t,e,n){\"use strict\";var r=n(36);e.a=function(t,e){if((a=t.length)>0&&(o=(i=t[e[0]]).length)>0){for(var i,o,a,u=0,c=1;c<o;++c){for(var s=0,l=0,f=0;s<a;++s){for(var p=t[e[s]],h=p[c][1]||0,d=p[c-1][1]||0,v=(h-d)/2,g=0;g<s;++g){var m=t[e[g]],y=m[c][1]||0,_=m[c-1][1]||0;v+=y-_}l+=h,f+=v*h}i[c-1][1]+=i[c-1][0]=u,l&&(u-=f/l)}i[c-1][1]+=i[c-1][0]=u,n.i(r.a)(t,e)}}},function(t,e,n){\"use strict\";var r=n(76);e.a=function(t){return n.i(r.a)(t).reverse()}},function(t,e,n){\"use strict\";var r=n(37),i=n(76);e.a=function(t){var e,o,a=t.length,u=t.map(i.b),c=n.i(r.a)(t).sort(function(t,e){return u[e]-u[t]}),s=0,l=0,f=[],p=[];for(e=0;e<a;++e)o=c[e],s<l?(s+=u[o],f.push(o)):(l+=u[o],p.push(o));return p.reverse().concat(f)}},function(t,e,n){\"use strict\";var r=n(37);e.a=function(t){return n.i(r.a)(t).reverse()}},function(t,e,n){\"use strict\";var r=n(19),i=n(291),o=n(292),a=n(35);e.a=function(){function t(t){var n,r,i,o,p,h=t.length,d=0,v=new Array(h),g=new Array(h),m=+s.apply(this,arguments),y=Math.min(a.c,Math.max(-a.c,l.apply(this,arguments)-m)),_=Math.min(Math.abs(y)/h,f.apply(this,arguments)),b=_*(y<0?-1:1);for(n=0;n<h;++n)(p=g[v[n]=n]=+e(t[n],n,t))>0&&(d+=p);for(null!=u?v.sort(function(t,e){return u(g[t],g[e])}):null!=c&&v.sort(function(e,n){return c(t[e],t[n])}),n=0,i=d?(y-h*b)/d:0;n<h;++n,m=o)r=v[n],p=g[r],o=m+(p>0?p*i:0)+b,g[r]={data:t[r],index:n,value:p,startAngle:m,endAngle:o,padAngle:_};return g}var e=o.a,u=i.a,c=null,s=n.i(r.a)(0),l=n.i(r.a)(a.c),f=n.i(r.a)(0);return t.value=function(i){return arguments.length?(e=\"function\"==typeof i?i:n.i(r.a)(+i),t):e},t.sortValues=function(e){return arguments.length?(u=e,c=null,t):u},t.sort=function(e){return arguments.length?(c=e,u=null,t):c},t.startAngle=function(e){return arguments.length?(s=\"function\"==typeof e?e:n.i(r.a)(+e),t):s},t.endAngle=function(e){return arguments.length?(l=\"function\"==typeof e?e:n.i(r.a)(+e),t):l},t.padAngle=function(e){return arguments.length?(f=\"function\"==typeof e?e:n.i(r.a)(+e),t):f},t}},function(t,e,n){\"use strict\";var r=n(138),i=n(135),o=n(140);e.a=function(){var t=n.i(i.a)().curve(r.b),e=t.curve,a=t.lineX0,u=t.lineX1,c=t.lineY0,s=t.lineY1;return t.angle=t.x,delete t.x,t.startAngle=t.x0,delete t.x0,t.endAngle=t.x1,delete t.x1,t.radius=t.y,delete t.y,t.innerRadius=t.y0,delete t.y0,t.outerRadius=t.y1,delete t.y1,t.lineStartAngle=function(){return n.i(o.b)(a())},delete t.lineX0,t.lineEndAngle=function(){return n.i(o.b)(u())},delete t.lineX1,t.lineInnerRadius=function(){return n.i(o.b)(c())},delete t.lineY0,t.lineOuterRadius=function(){return n.i(o.b)(s())},delete t.lineY1,t.curve=function(t){return arguments.length?e(n.i(r.a)(t)):e()._curve},t}},function(t,e,n){\"use strict\";function r(t,e){return t[e]}var i=n(281),o=n(19),a=n(36),u=n(37);e.a=function(){function t(t){var n,r,i=e.apply(this,arguments),o=t.length,a=i.length,u=new Array(a);for(n=0;n<a;++n){for(var f,p=i[n],h=u[n]=new Array(o),d=0;d<o;++d)h[d]=f=[0,+l(t[d],p,d,t)],f.data=t[d];h.key=p}for(n=0,r=c(u);n<a;++n)u[r[n]].index=n;return s(u,r),u}var e=n.i(o.a)([]),c=u.a,s=a.a,l=r;return t.keys=function(r){return arguments.length?(e=\"function\"==typeof r?r:n.i(o.a)(i.a.call(r)),t):e},t.value=function(e){return arguments.length?(l=\"function\"==typeof e?e:n.i(o.a)(+e),t):l},t.order=function(e){return arguments.length?(c=null==e?u.a:\"function\"==typeof e?e:n.i(o.a)(i.a.call(e)),t):c},t.offset=function(e){return arguments.length?(s=null==e?a.a:e,t):s},t}},function(t,e,n){\"use strict\";var r=n(44),i=n(141),o=n(142),a=n(143),u=n(145),c=n(144),s=n(146),l=n(147),f=n(19);n.d(e,\"b\",function(){return p});var p=[i.a,o.a,a.a,c.a,u.a,s.a,l.a];e.a=function(){function t(){var t;if(a||(a=t=n.i(r.a)()),e.apply(this,arguments).draw(a,+o.apply(this,arguments)),t)return a=null,t+\"\"||null}var e=n.i(f.a)(i.a),o=n.i(f.a)(64),a=null;return t.type=function(r){return arguments.length?(e=\"function\"==typeof r?r:n.i(f.a)(r),t):e},t.size=function(e){return arguments.length?(o=\"function\"==typeof e?e:n.i(f.a)(+e),t):o},t.context=function(e){return arguments.length?(a=null==e?null:e,t):a},t}},function(t,e,n){\"use strict\";function r(t){var e=new Date(t);return isNaN(e)?null:e}var i=n(148),o=n(78),a=+new Date(\"2000-01-01T00:00:00.000Z\")?r:n.i(o.e)(i.b);e.a=a},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setHours(0,0,0,0)},function(t,e){t.setDate(t.getDate()+e)},function(t,e){return(e-t-(e.getTimezoneOffset()-t.getTimezoneOffset())*i.d)/i.b},function(t){return t.getDate()-1});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){var e=t.getTimezoneOffset()*i.d%i.c;e<0&&(e+=i.c),t.setTime(Math.floor((+t-e)/i.c)*i.c+e)},function(t,e){t.setTime(+t+e*i.c)},function(t,e){return(e-t)/i.c},function(t){return t.getHours()});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n.i(r.a)(function(){},function(t,e){t.setTime(+t+e)},function(t,e){return e-t});i.every=function(t){return t=Math.floor(t),isFinite(t)&&t>0?t>1?n.i(r.a)(function(e){e.setTime(Math.floor(e/t)*t)},function(e,n){e.setTime(+e+n*t)},function(e,n){return(n-e)/t}):i:null},e.a=i;i.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setTime(Math.floor(t/i.d)*i.d)},function(t,e){t.setTime(+t+e*i.d)},function(t,e){return(e-t)/i.d},function(t){return t.getMinutes()});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n.i(r.a)(function(t){t.setDate(1),t.setHours(0,0,0,0)},function(t,e){t.setMonth(t.getMonth()+e)},function(t,e){return e.getMonth()-t.getMonth()+12*(e.getFullYear()-t.getFullYear())},function(t){return t.getMonth()});e.a=i;i.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setTime(Math.floor(t/i.e)*i.e)},function(t,e){t.setTime(+t+e*i.e)},function(t,e){return(e-t)/i.e},function(t){return t.getUTCSeconds()});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setUTCHours(0,0,0,0)},function(t,e){t.setUTCDate(t.getUTCDate()+e)},function(t,e){return(e-t)/i.b},function(t){return t.getUTCDate()-1});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setUTCMinutes(0,0,0)},function(t,e){t.setTime(+t+e*i.c)},function(t,e){return(e-t)/i.c},function(t){return t.getUTCHours()});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n(13),o=n.i(r.a)(function(t){t.setUTCSeconds(0,0)},function(t,e){t.setTime(+t+e*i.d)},function(t,e){return(e-t)/i.d},function(t){return t.getUTCMinutes()});e.a=o;o.range},function(t,e,n){\"use strict\";var r=n(5),i=n.i(r.a)(function(t){t.setUTCDate(1),t.setUTCHours(0,0,0,0)},function(t,e){t.setUTCMonth(t.getUTCMonth()+e)},function(t,e){return e.getUTCMonth()-t.getUTCMonth()+12*(e.getUTCFullYear()-t.getUTCFullYear())},function(t){return t.getUTCMonth()});e.a=i;i.range},function(t,e,n){\"use strict\";function r(t){return n.i(i.a)(function(e){e.setUTCDate(e.getUTCDate()-(e.getUTCDay()+7-t)%7),e.setUTCHours(0,0,0,0)},function(t,e){t.setUTCDate(t.getUTCDate()+7*e)},function(t,e){return(e-t)/o.a})}var i=n(5),o=n(13);n.d(e,\"a\",function(){return a}),n.d(e,\"b\",function(){return u});var a=r(0),u=r(1),c=r(2),s=r(3),l=r(4),f=r(5),p=r(6);a.range,u.range,c.range,s.range,l.range,f.range,p.range},function(t,e,n){\"use strict\";var r=n(5),i=n.i(r.a)(function(t){t.setUTCMonth(0,1),t.setUTCHours(0,0,0,0)},function(t,e){t.setUTCFullYear(t.getUTCFullYear()+e)},function(t,e){return e.getUTCFullYear()-t.getUTCFullYear()},function(t){return t.getUTCFullYear()});i.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n.i(r.a)(function(e){e.setUTCFullYear(Math.floor(e.getUTCFullYear()/t)*t),e.setUTCMonth(0,1),e.setUTCHours(0,0,0,0)},function(e,n){e.setUTCFullYear(e.getUTCFullYear()+n*t)}):null},e.a=i;i.range},function(t,e,n){\"use strict\";function r(t){return n.i(i.a)(function(e){e.setDate(e.getDate()-(e.getDay()+7-t)%7),e.setHours(0,0,0,0)},function(t,e){t.setDate(t.getDate()+7*e)},function(t,e){return(e-t-(e.getTimezoneOffset()-t.getTimezoneOffset())*o.d)/o.a})}var i=n(5),o=n(13);n.d(e,\"a\",function(){return a}),n.d(e,\"b\",function(){return u});var a=r(0),u=r(1),c=r(2),s=r(3),l=r(4),f=r(5),p=r(6);a.range,u.range,c.range,s.range,l.range,f.range,p.range},function(t,e,n){\"use strict\";var r=n(5),i=n.i(r.a)(function(t){t.setMonth(0,1),t.setHours(0,0,0,0)},function(t,e){t.setFullYear(t.getFullYear()+e)},function(t,e){return e.getFullYear()-t.getFullYear()},function(t){return t.getFullYear()});i.every=function(t){return isFinite(t=Math.floor(t))&&t>0?n.i(r.a)(function(e){e.setFullYear(Math.floor(e.getFullYear()/t)*t),e.setMonth(0,1),e.setHours(0,0,0,0)},function(e,n){e.setFullYear(e.getFullYear()+n*t)}):null},e.a=i;i.range},function(t,e,n){\"use strict\";function r(t){return t.replace(i,function(t,e){return e.toUpperCase()})}var i=/-(.)/g;t.exports=r},function(t,e,n){\"use strict\";function r(t){return i(t.replace(o,\"ms-\"))}var i=n(318),o=/^-ms-/;t.exports=r},function(t,e,n){\"use strict\";function r(t,e){return!(!t||!e)&&(t===e||!i(t)&&(i(e)?r(t,e.parentNode):\"contains\"in t?t.contains(e):!!t.compareDocumentPosition&&!!(16&t.compareDocumentPosition(e))))}var i=n(328);t.exports=r},function(t,e,n){\"use strict\";function r(t){var e=t.length;if(Array.isArray(t)||\"object\"!=typeof t&&\"function\"!=typeof t?a(!1):void 0,\"number\"!=typeof e?a(!1):void 0,0===e||e-1 in t?void 0:a(!1),\"function\"==typeof t.callee?a(!1):void 0,t.hasOwnProperty)try{return Array.prototype.slice.call(t)}catch(t){}for(var n=Array(e),r=0;r<e;r++)n[r]=t[r];return n}function i(t){return!!t&&(\"object\"==typeof t||\"function\"==typeof t)&&\"length\"in t&&!(\"setInterval\"in t)&&\"number\"!=typeof t.nodeType&&(Array.isArray(t)||\"callee\"in t||\"item\"in t)}function o(t){return i(t)?Array.isArray(t)?t.slice():r(t):[t]}var a=n(0);t.exports=o},function(t,e,n){\"use strict\";function r(t){var e=t.match(l);return e&&e[1].toLowerCase()}function i(t,e){var n=s;s?void 0:c(!1);var i=r(t),o=i&&u(i);if(o){n.innerHTML=o[1]+t+o[2];for(var l=o[0];l--;)n=n.lastChild}else n.innerHTML=t;var f=n.getElementsByTagName(\"script\");f.length&&(e?void 0:c(!1),a(f).forEach(e));for(var p=Array.from(n.childNodes);n.lastChild;)n.removeChild(n.lastChild);return p}var o=n(6),a=n(321),u=n(323),c=n(0),s=o.canUseDOM?document.createElement(\"div\"):null,l=/^\\s*<(\\w+)/;t.exports=i},function(t,e,n){\"use strict\";function r(t){return a?void 0:o(!1),p.hasOwnProperty(t)||(t=\"*\"),u.hasOwnProperty(t)||(\"*\"===t?a.innerHTML=\"<link />\":a.innerHTML=\"<\"+t+\"></\"+t+\">\",u[t]=!a.firstChild),u[t]?p[t]:null}var i=n(6),o=n(0),a=i.canUseDOM?document.createElement(\"div\"):null,u={},c=[1,'<select multiple=\"true\">',\"</select>\"],s=[1,\"<table>\",\"</table>\"],l=[3,\"<table><tbody><tr>\",\"</tr></tbody></table>\"],f=[1,'<svg xmlns=\"http://www.w3.org/2000/svg\">',\"</svg>\"],p={\"*\":[1,\"?<div>\",\"</div>\"],area:[1,\"<map>\",\"</map>\"],col:[2,\"<table><tbody></tbody><colgroup>\",\"</colgroup></table>\"],legend:[1,\"<fieldset>\",\"</fieldset>\"],param:[1,\"<object>\",\"</object>\"],tr:[2,\"<table><tbody>\",\"</tbody></table>\"],optgroup:c,option:c,caption:s,colgroup:s,tbody:s,tfoot:s,thead:s,td:l,th:l},h=[\"circle\",\"clipPath\",\"defs\",\"ellipse\",\"g\",\"image\",\"line\",\"linearGradient\",\"mask\",\"path\",\"pattern\",\"polygon\",\"polyline\",\"radialGradient\",\"rect\",\"stop\",\"text\",\"tspan\"];h.forEach(function(t){p[t]=f,u[t]=!0}),t.exports=r},function(t,e,n){\"use strict\";function r(t){return t===window?{x:window.pageXOffset||document.documentElement.scrollLeft,y:window.pageYOffset||document.documentElement.scrollTop}:{x:t.scrollLeft,y:t.scrollTop}}t.exports=r},function(t,e,n){\"use strict\";function r(t){return t.replace(i,\"-$1\").toLowerCase()}var i=/([A-Z])/g;t.exports=r},function(t,e,n){\"use strict\";function r(t){return i(t).replace(o,\"-ms-\")}var i=n(325),o=/^ms-/;t.exports=r},function(t,e,n){\"use strict\";function r(t){return!(!t||!(\"function\"==typeof Node?t instanceof Node:\"object\"==typeof t&&\"number\"==typeof t.nodeType&&\"string\"==typeof t.nodeName))}t.exports=r},function(t,e,n){\"use strict\";function r(t){return i(t)&&3==t.nodeType}var i=n(327);t.exports=r},function(t,e,n){\"use strict\";var r=function(t){var e;for(e in t)if(t.hasOwnProperty(e))return e;return null};t.exports=r},function(t,e,n){\"use strict\";function r(t){var e={};return function(n){return e.hasOwnProperty(n)||(e[n]=t.call(this,n)),e[n]}}t.exports=r},function(t,e,n){\"use strict\";var r={Properties:{\"aria-current\":0,\"aria-details\":0,\"aria-disabled\":0,\"aria-hidden\":0,\"aria-invalid\":0,\"aria-keyshortcuts\":0,\"aria-label\":0,\"aria-roledescription\":0,\"aria-autocomplete\":0,\"aria-checked\":0,\"aria-expanded\":0,\"aria-haspopup\":0,\"aria-level\":0,\"aria-modal\":0,\"aria-multiline\":0,\"aria-multiselectable\":0,\"aria-orientation\":0,\"aria-placeholder\":0,\"aria-pressed\":0,\"aria-readonly\":0,\"aria-required\":0,\"aria-selected\":0,\"aria-sort\":0,\"aria-valuemax\":0,\"aria-valuemin\":0,\"aria-valuenow\":0,\"aria-valuetext\":0,\"aria-atomic\":0,\"aria-busy\":0,\"aria-live\":0,\"aria-relevant\":0,\"aria-dropeffect\":0,\"aria-grabbed\":0,\"aria-activedescendant\":0,\"aria-colcount\":0,\"aria-colindex\":0,\"aria-colspan\":0,\"aria-controls\":0,\"aria-describedby\":0,\"aria-errormessage\":0,\"aria-flowto\":0,\"aria-labelledby\":0,\"aria-owns\":0,\"aria-posinset\":0,\"aria-rowcount\":0,\"aria-rowindex\":0,\"aria-rowspan\":0,\"aria-setsize\":0},DOMAttributeNames:{},DOMPropertyNames:{}};t.exports=r},function(t,e,n){\"use strict\";var r=n(4),i=n(151),o={focusDOMComponent:function(){i(r.getNodeFromInstance(this))}};t.exports=o},function(t,e,n){\"use strict\";function r(){var t=window.opera;return\"object\"==typeof t&&\"function\"==typeof t.version&&parseInt(t.version(),10)<=12}function i(t){return(t.ctrlKey||t.altKey||t.metaKey)&&!(t.ctrlKey&&t.altKey)}function o(t){switch(t){case\"topCompositionStart\":return E.compositionStart;case\"topCompositionEnd\":return E.compositionEnd;case\"topCompositionUpdate\":return E.compositionUpdate}}function a(t,e){return\"topKeyDown\"===t&&e.keyCode===_}function u(t,e){switch(t){case\"topKeyUp\":return y.indexOf(e.keyCode)!==-1;case\"topKeyDown\":return e.keyCode!==_;case\"topKeyPress\":case\"topMouseDown\":case\"topBlur\":return!0;default:return!1}}function c(t){var e=t.detail;return\"object\"==typeof e&&\"data\"in e?e.data:null}function s(t,e,n,r){var i,s;if(b?i=o(t):S?u(t,n)&&(i=E.compositionEnd):a(t,n)&&(i=E.compositionStart),!i)return null;C&&(S||i!==E.compositionStart?i===E.compositionEnd&&S&&(s=S.getData()):S=v.getPooled(r));var l=g.getPooled(i,e,n,r);if(s)l.data=s;else{var f=c(n);null!==f&&(l.data=f)}return h.accumulateTwoPhaseDispatches(l),l}function l(t,e){switch(t){case\"topCompositionEnd\":return c(e);case\"topKeyPress\":var n=e.which;return n!==M?null:(T=!0,k);case\"topTextInput\":var r=e.data;return r===k&&T?null:r;default:return null}}function f(t,e){if(S){if(\"topCompositionEnd\"===t||!b&&u(t,e)){var n=S.getData();return v.release(S),S=null,n}return null}switch(t){case\"topPaste\":return null;case\"topKeyPress\":return e.which&&!i(e)?String.fromCharCode(e.which):null;case\"topCompositionEnd\":return C?null:e.data;default:return null}}function p(t,e,n,r){var i;if(i=w?l(t,n):f(t,n),!i)return null;var o=m.getPooled(E.beforeInput,e,n,r);return o.data=i,h.accumulateTwoPhaseDispatches(o),o}var h=n(23),d=n(6),v=n(340),g=n(377),m=n(380),y=[9,13,27,32],_=229,b=d.canUseDOM&&\"CompositionEvent\"in window,x=null;d.canUseDOM&&\"documentMode\"in document&&(x=document.documentMode);var w=d.canUseDOM&&\"TextEvent\"in window&&!x&&!r(),C=d.canUseDOM&&(!b||x&&x>8&&x<=11),M=32,k=String.fromCharCode(M),E={beforeInput:{phasedRegistrationNames:{bubbled:\"onBeforeInput\",captured:\"onBeforeInputCapture\"},dependencies:[\"topCompositionEnd\",\"topKeyPress\",\"topTextInput\",\"topPaste\"]},compositionEnd:{phasedRegistrationNames:{bubbled:\"onCompositionEnd\",captured:\"onCompositionEndCapture\"},dependencies:[\"topBlur\",\"topCompositionEnd\",\"topKeyDown\",\"topKeyPress\",\"topKeyUp\",\"topMouseDown\"]},compositionStart:{phasedRegistrationNames:{bubbled:\"onCompositionStart\",captured:\"onCompositionStartCapture\"},dependencies:[\"topBlur\",\"topCompositionStart\",\"topKeyDown\",\"topKeyPress\",\"topKeyUp\",\"topMouseDown\"]},compositionUpdate:{phasedRegistrationNames:{bubbled:\"onCompositionUpdate\",captured:\"onCompositionUpdateCapture\"},dependencies:[\"topBlur\",\"topCompositionUpdate\",\"topKeyDown\",\"topKeyPress\",\"topKeyUp\",\"topMouseDown\"]}},T=!1,S=null,P={eventTypes:E,extractEvents:function(t,e,n,r){return[s(t,e,n,r),p(t,e,n,r)]}};t.exports=P},function(t,e,n){\"use strict\";var r=n(154),i=n(6),o=(n(9),n(319),n(386)),a=n(326),u=n(330),c=(n(1),u(function(t){return a(t)})),s=!1,l=\"cssFloat\";if(i.canUseDOM){var f=document.createElement(\"div\").style;try{f.font=\"\"}catch(t){s=!0}void 0===document.documentElement.style.cssFloat&&(l=\"styleFloat\")}var p={createMarkupForStyles:function(t,e){var n=\"\";for(var r in t)if(t.hasOwnProperty(r)){var i=t[r];null!=i&&(n+=c(r)+\":\",n+=o(r,i,e)+\";\")}return n||null},setValueForStyles:function(t,e,n){var i=t.style;for(var a in e)if(e.hasOwnProperty(a)){var u=o(a,e[a],n);if(\"float\"!==a&&\"cssFloat\"!==a||(a=l),u)i[a]=u;else{var c=s&&r.shorthandPropertyExpansions[a];if(c)for(var f in c)i[f]=\"\";else i[a]=\"\"}}}};t.exports=p},function(t,e,n){\"use strict\";function r(t){var e=t.nodeName&&t.nodeName.toLowerCase();return\"select\"===e||\"input\"===e&&\"file\"===t.type}function i(t){var e=C.getPooled(T.change,P,t,M(t));_.accumulateTwoPhaseDispatches(e),w.batchedUpdates(o,e)}function o(t){y.enqueueEvents(t),y.processEventQueue(!1)}function a(t,e){S=t,P=e,S.attachEvent(\"onchange\",i)}function u(){S&&(S.detachEvent(\"onchange\",i),S=null,P=null)}function c(t,e){if(\"topChange\"===t)return e}function s(t,e,n){\"topFocus\"===t?(u(),a(e,n)):\"topBlur\"===t&&u()}function l(t,e){S=t,P=e,N=t.value,A=Object.getOwnPropertyDescriptor(t.constructor.prototype,\"value\"),Object.defineProperty(S,\"value\",D),S.attachEvent?S.attachEvent(\"onpropertychange\",p):S.addEventListener(\"propertychange\",p,!1)}function f(){S&&(delete S.value,S.detachEvent?S.detachEvent(\"onpropertychange\",p):S.removeEventListener(\"propertychange\",p,!1),S=null,P=null,N=null,A=null)}function p(t){if(\"value\"===t.propertyName){var e=t.srcElement.value;e!==N&&(N=e,i(t))}}function h(t,e){if(\"topInput\"===t)return e}function d(t,e,n){\"topFocus\"===t?(f(),l(e,n)):\"topBlur\"===t&&f()}function v(t,e){if((\"topSelectionChange\"===t||\"topKeyUp\"===t||\"topKeyDown\"===t)&&S&&S.value!==N)return N=S.value,P}function g(t){return t.nodeName&&\"input\"===t.nodeName.toLowerCase()&&(\"checkbox\"===t.type||\"radio\"===t.type)}function m(t,e){if(\"topClick\"===t)return e}var y=n(22),_=n(23),b=n(6),x=n(4),w=n(11),C=n(14),M=n(93),k=n(94),E=n(170),T={change:{phasedRegistrationNames:{bubbled:\"onChange\",captured:\"onChangeCapture\"},dependencies:[\"topBlur\",\"topChange\",\"topClick\",\"topFocus\",\"topInput\",\"topKeyDown\",\"topKeyUp\",\"topSelectionChange\"]}},S=null,P=null,N=null,A=null,O=!1;b.canUseDOM&&(O=k(\"change\")&&(!document.documentMode||document.documentMode>8));var I=!1;b.canUseDOM&&(I=k(\"input\")&&(!document.documentMode||document.documentMode>11));var D={get:function(){return A.get.call(this)},set:function(t){N=\"\"+t,A.set.call(this,t)}},R={eventTypes:T,extractEvents:function(t,e,n,i){var o,a,u=e?x.getNodeFromInstance(e):window;if(r(u)?O?o=c:a=s:E(u)?I?o=h:(o=v,a=d):g(u)&&(o=m),o){var l=o(t,e);if(l){var f=C.getPooled(T.change,l,n,i);return f.type=\"change\",_.accumulateTwoPhaseDispatches(f),f}}a&&a(t,u,e)}};t.exports=R},function(t,e,n){\"use strict\";var r=n(2),i=n(20),o=n(6),a=n(322),u=n(8),c=(n(0),{dangerouslyReplaceNodeWithMarkup:function(t,e){if(o.canUseDOM?void 0:r(\"56\"),e?void 0:r(\"57\"),\"HTML\"===t.nodeName?r(\"58\"):void 0,\"string\"==typeof e){var n=a(e,u)[0];t.parentNode.replaceChild(n,t)}else i.replaceChildWithTree(t,e)}});t.exports=c},function(t,e,n){\"use strict\";var r=[\"ResponderEventPlugin\",\"SimpleEventPlugin\",\"TapEventPlugin\",\"EnterLeaveEventPlugin\",\"ChangeEventPlugin\",\"SelectEventPlugin\",\"BeforeInputEventPlugin\"];t.exports=r},function(t,e,n){\"use strict\";var r=n(23),i=n(4),o=n(52),a={mouseEnter:{registrationName:\"onMouseEnter\",dependencies:[\"topMouseOut\",\"topMouseOver\"]},mouseLeave:{registrationName:\"onMouseLeave\",dependencies:[\"topMouseOut\",\"topMouseOver\"]}},u={eventTypes:a,extractEvents:function(t,e,n,u){if(\"topMouseOver\"===t&&(n.relatedTarget||n.fromElement))return null;\n",
       "if(\"topMouseOut\"!==t&&\"topMouseOver\"!==t)return null;var c;if(u.window===u)c=u;else{var s=u.ownerDocument;c=s?s.defaultView||s.parentWindow:window}var l,f;if(\"topMouseOut\"===t){l=e;var p=n.relatedTarget||n.toElement;f=p?i.getClosestInstanceFromNode(p):null}else l=null,f=e;if(l===f)return null;var h=null==l?c:i.getNodeFromInstance(l),d=null==f?c:i.getNodeFromInstance(f),v=o.getPooled(a.mouseLeave,l,n,u);v.type=\"mouseleave\",v.target=h,v.relatedTarget=d;var g=o.getPooled(a.mouseEnter,f,n,u);return g.type=\"mouseenter\",g.target=d,g.relatedTarget=h,r.accumulateEnterLeaveDispatches(v,g,l,f),[v,g]}};t.exports=u},function(t,e,n){\"use strict\";var r={topAbort:null,topAnimationEnd:null,topAnimationIteration:null,topAnimationStart:null,topBlur:null,topCanPlay:null,topCanPlayThrough:null,topChange:null,topClick:null,topCompositionEnd:null,topCompositionStart:null,topCompositionUpdate:null,topContextMenu:null,topCopy:null,topCut:null,topDoubleClick:null,topDrag:null,topDragEnd:null,topDragEnter:null,topDragExit:null,topDragLeave:null,topDragOver:null,topDragStart:null,topDrop:null,topDurationChange:null,topEmptied:null,topEncrypted:null,topEnded:null,topError:null,topFocus:null,topInput:null,topInvalid:null,topKeyDown:null,topKeyPress:null,topKeyUp:null,topLoad:null,topLoadedData:null,topLoadedMetadata:null,topLoadStart:null,topMouseDown:null,topMouseMove:null,topMouseOut:null,topMouseOver:null,topMouseUp:null,topPaste:null,topPause:null,topPlay:null,topPlaying:null,topProgress:null,topRateChange:null,topReset:null,topScroll:null,topSeeked:null,topSeeking:null,topSelectionChange:null,topStalled:null,topSubmit:null,topSuspend:null,topTextInput:null,topTimeUpdate:null,topTouchCancel:null,topTouchEnd:null,topTouchMove:null,topTouchStart:null,topTransitionEnd:null,topVolumeChange:null,topWaiting:null,topWheel:null},i={topLevelTypes:r};t.exports=i},function(t,e,n){\"use strict\";function r(t){this._root=t,this._startText=this.getText(),this._fallbackText=null}var i=n(3),o=n(17),a=n(168);i(r.prototype,{destructor:function(){this._root=null,this._startText=null,this._fallbackText=null},getText:function(){return\"value\"in this._root?this._root.value:this._root[a()]},getData:function(){if(this._fallbackText)return this._fallbackText;var t,e,n=this._startText,r=n.length,i=this.getText(),o=i.length;for(t=0;t<r&&n[t]===i[t];t++);var a=r-t;for(e=1;e<=a&&n[r-e]===i[o-e];e++);var u=e>1?1-e:void 0;return this._fallbackText=i.slice(t,u),this._fallbackText}}),o.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";var r=n(21),i=r.injection.MUST_USE_PROPERTY,o=r.injection.HAS_BOOLEAN_VALUE,a=r.injection.HAS_NUMERIC_VALUE,u=r.injection.HAS_POSITIVE_NUMERIC_VALUE,c=r.injection.HAS_OVERLOADED_BOOLEAN_VALUE,s={isCustomAttribute:RegExp.prototype.test.bind(new RegExp(\"^(data|aria)-[\"+r.ATTRIBUTE_NAME_CHAR+\"]*$\")),Properties:{accept:0,acceptCharset:0,accessKey:0,action:0,allowFullScreen:o,allowTransparency:0,alt:0,as:0,async:o,autoComplete:0,autoPlay:o,capture:o,cellPadding:0,cellSpacing:0,charSet:0,challenge:0,checked:i|o,cite:0,classID:0,className:0,cols:u,colSpan:0,content:0,contentEditable:0,contextMenu:0,controls:o,coords:0,crossOrigin:0,data:0,dateTime:0,default:o,defer:o,dir:0,disabled:o,download:c,draggable:0,encType:0,form:0,formAction:0,formEncType:0,formMethod:0,formNoValidate:o,formTarget:0,frameBorder:0,headers:0,height:0,hidden:o,high:0,href:0,hrefLang:0,htmlFor:0,httpEquiv:0,icon:0,id:0,inputMode:0,integrity:0,is:0,keyParams:0,keyType:0,kind:0,label:0,lang:0,list:0,loop:o,low:0,manifest:0,marginHeight:0,marginWidth:0,max:0,maxLength:0,media:0,mediaGroup:0,method:0,min:0,minLength:0,multiple:i|o,muted:i|o,name:0,nonce:0,noValidate:o,open:o,optimum:0,pattern:0,placeholder:0,playsInline:o,poster:0,preload:0,profile:0,radioGroup:0,readOnly:o,referrerPolicy:0,rel:0,required:o,reversed:o,role:0,rows:u,rowSpan:a,sandbox:0,scope:0,scoped:o,scrolling:0,seamless:o,selected:i|o,shape:0,size:u,sizes:0,span:u,spellCheck:0,src:0,srcDoc:0,srcLang:0,srcSet:0,start:a,step:0,style:0,summary:0,tabIndex:0,target:0,title:0,type:0,useMap:0,value:0,width:0,wmode:0,wrap:0,about:0,datatype:0,inlist:0,prefix:0,property:0,resource:0,typeof:0,vocab:0,autoCapitalize:0,autoCorrect:0,autoSave:0,color:0,itemProp:0,itemScope:o,itemType:0,itemID:0,itemRef:0,results:0,security:0,unselectable:0},DOMAttributeNames:{acceptCharset:\"accept-charset\",className:\"class\",htmlFor:\"for\",httpEquiv:\"http-equiv\"},DOMPropertyNames:{}};t.exports=s},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){var i=void 0===t[n];null!=e&&i&&(t[n]=o(e,!0))}var i=n(24),o=n(169),a=(n(84),n(95)),u=n(172);n(1);\"undefined\"!=typeof e&&e.env,1;var c={instantiateChildren:function(t,e,n,i){if(null==t)return null;var o={};return u(t,r,o),o},updateChildren:function(t,e,n,r,u,c,s,l,f){if(e||t){var p,h;for(p in e)if(e.hasOwnProperty(p)){h=t&&t[p];var d=h&&h._currentElement,v=e[p];if(null!=h&&a(d,v))i.receiveComponent(h,v,u,l),e[p]=h;else{h&&(r[p]=i.getHostNode(h),i.unmountComponent(h,!1));var g=o(v,!0);e[p]=g;var m=i.mountComponent(g,u,c,s,l,f);n.push(m)}}for(p in t)!t.hasOwnProperty(p)||e&&e.hasOwnProperty(p)||(h=t[p],r[p]=i.getHostNode(h),i.unmountComponent(h,!1))}},unmountChildren:function(t,e){for(var n in t)if(t.hasOwnProperty(n)){var r=t[n];i.unmountComponent(r,e)}}};t.exports=c}).call(e,n(153))},function(t,e,n){\"use strict\";var r=n(81),i=n(350),o={processChildrenUpdates:i.dangerouslyProcessChildrenUpdates,replaceNodeWithMarkup:r.dangerouslyReplaceNodeWithMarkup};t.exports=o},function(t,e,n){\"use strict\";function r(t){}function i(t,e){}function o(t){return!(!t.prototype||!t.prototype.isReactComponent)}function a(t){return!(!t.prototype||!t.prototype.isPureReactComponent)}var u=n(2),c=n(3),s=n(26),l=n(86),f=n(15),p=n(87),h=n(40),d=(n(9),n(164)),v=n(24),g=n(38),m=(n(0),n(80)),y=n(95),_=(n(1),{ImpureClass:0,PureClass:1,StatelessFunctional:2});r.prototype.render=function(){var t=h.get(this)._currentElement.type,e=t(this.props,this.context,this.updater);return i(t,e),e};var b=1,x={construct:function(t){this._currentElement=t,this._rootNodeID=0,this._compositeType=null,this._instance=null,this._hostParent=null,this._hostContainerInfo=null,this._updateBatchNumber=null,this._pendingElement=null,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._renderedNodeType=null,this._renderedComponent=null,this._context=null,this._mountOrder=0,this._topLevelWrapper=null,this._pendingCallbacks=null,this._calledComponentWillUnmount=!1},mountComponent:function(t,e,n,c){this._context=c,this._mountOrder=b++,this._hostParent=e,this._hostContainerInfo=n;var l,f=this._currentElement.props,p=this._processContext(c),d=this._currentElement.type,v=t.getUpdateQueue(),m=o(d),y=this._constructComponent(m,f,p,v);m||null!=y&&null!=y.render?a(d)?this._compositeType=_.PureClass:this._compositeType=_.ImpureClass:(l=y,i(d,l),null===y||y===!1||s.isValidElement(y)?void 0:u(\"105\",d.displayName||d.name||\"Component\"),y=new r(d),this._compositeType=_.StatelessFunctional);y.props=f,y.context=p,y.refs=g,y.updater=v,this._instance=y,h.set(y,this);var x=y.state;void 0===x&&(y.state=x=null),\"object\"!=typeof x||Array.isArray(x)?u(\"106\",this.getName()||\"ReactCompositeComponent\"):void 0,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1;var w;return w=y.unstable_handleError?this.performInitialMountWithErrorHandling(l,e,n,t,c):this.performInitialMount(l,e,n,t,c),y.componentDidMount&&t.getReactMountReady().enqueue(y.componentDidMount,y),w},_constructComponent:function(t,e,n,r){return this._constructComponentWithoutOwner(t,e,n,r)},_constructComponentWithoutOwner:function(t,e,n,r){var i=this._currentElement.type;return t?new i(e,n,r):i(e,n,r)},performInitialMountWithErrorHandling:function(t,e,n,r,i){var o,a=r.checkpoint();try{o=this.performInitialMount(t,e,n,r,i)}catch(u){r.rollback(a),this._instance.unstable_handleError(u),this._pendingStateQueue&&(this._instance.state=this._processPendingState(this._instance.props,this._instance.context)),a=r.checkpoint(),this._renderedComponent.unmountComponent(!0),r.rollback(a),o=this.performInitialMount(t,e,n,r,i)}return o},performInitialMount:function(t,e,n,r,i){var o=this._instance,a=0;o.componentWillMount&&(o.componentWillMount(),this._pendingStateQueue&&(o.state=this._processPendingState(o.props,o.context))),void 0===t&&(t=this._renderValidatedComponent());var u=d.getType(t);this._renderedNodeType=u;var c=this._instantiateReactComponent(t,u!==d.EMPTY);this._renderedComponent=c;var s=v.mountComponent(c,r,e,n,this._processChildContext(i),a);return s},getHostNode:function(){return v.getHostNode(this._renderedComponent)},unmountComponent:function(t){if(this._renderedComponent){var e=this._instance;if(e.componentWillUnmount&&!e._calledComponentWillUnmount)if(e._calledComponentWillUnmount=!0,t){var n=this.getName()+\".componentWillUnmount()\";p.invokeGuardedCallback(n,e.componentWillUnmount.bind(e))}else e.componentWillUnmount();this._renderedComponent&&(v.unmountComponent(this._renderedComponent,t),this._renderedNodeType=null,this._renderedComponent=null,this._instance=null),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._pendingCallbacks=null,this._pendingElement=null,this._context=null,this._rootNodeID=0,this._topLevelWrapper=null,h.remove(e)}},_maskContext:function(t){var e=this._currentElement.type,n=e.contextTypes;if(!n)return g;var r={};for(var i in n)r[i]=t[i];return r},_processContext:function(t){var e=this._maskContext(t);return e},_processChildContext:function(t){var e,n=this._currentElement.type,r=this._instance;if(r.getChildContext&&(e=r.getChildContext()),e){\"object\"!=typeof 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=!m(s,l)||!m(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(y(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(11),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;A.postMountWrapper(t)}function s(){var t=this;P.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(){N.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),m=n(332),y=n(334),_=n(20),b=n(82),x=n(21),w=n(156),C=n(22),M=n(83),k=n(51),E=n(157),T=n(4),S=n(351),P=n(352),N=n(158),A=n(355),O=(n(9),n(364)),I=n(369),D=(n(8),n(54)),R=(n(0),n(94),n(80),n(96),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\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o);break;case\"select\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this);break;case\"textarea\":A.mountWrapper(this,o,e),o=A.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 y=_(h);this._createInitialChildren(t,o,r,y),p=y}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(m.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"select\":o.autoFocus&&t.getReactMountReady().enqueue(m.focusDOMComponent,this);break;case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(m.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=y.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=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"select\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"textarea\":o=A.getHostProps(this,o),a=A.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\":A.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&&y.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(96),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(81),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(85),s=n(4),l=n(11),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(81),a=n(20),u=n(4),c=n(54),s=(n(0),n(96),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),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(85),c=n(4),s=n(11),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",
       "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(11),a=n(53),u=n(8),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,y.EventEmitter.injectReactEventListener(m),y.EventPluginHub.injectEventPluginOrder(u),y.EventPluginUtils.injectComponentTree(p),y.EventPluginUtils.injectTreeTraversal(d),y.EventPluginHub.injectEventPluginsByName({SimpleEventPlugin:w,EnterLeaveEventPlugin:c,ChangeEventPlugin:a,SelectEventPlugin:x,BeforeInputEventPlugin:o}),y.HostComponent.injectGenericComponentClass(f),y.HostComponent.injectTextComponentClass(v),y.DOMProperty.injectDOMPropertyConfig(i),y.DOMProperty.injectDOMPropertyConfig(s),y.DOMProperty.injectDOMPropertyConfig(b),y.EmptyComponent.injectEmptyComponentFactory(function(t){return new h(t)}),y.Updates.injectReconcileTransaction(_),y.Updates.injectBatchingStrategy(g),y.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),m=n(361),y=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 Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";function r(t){i.enqueueEvents(t),i.processEventQueue(!1)}var i=n(22),o={handleTopLevel:function(t,e,n,o){var a=i.extractEvents(t,e,n,o);r(a)}};t.exports=o},function(t,e,n){\"use strict\";function r(t){for(;t._hostParent;)t=t._hostParent;var e=f.getNodeFromInstance(t),n=e.parentNode;return f.getClosestInstanceFromNode(n)}function i(t,e){this.topLevelType=t,this.nativeEvent=e,this.ancestors=[]}function o(t){var e=h(t.nativeEvent),n=f.getClosestInstanceFromNode(e),i=n;do t.ancestors.push(i),i=i&&r(i);while(i);for(var o=0;o<t.ancestors.length;o++)n=t.ancestors[o],v._handleTopLevel(t.topLevelType,n,t.nativeEvent,h(t.nativeEvent))}function a(t){var e=d(window);t(e)}var u=n(3),c=n(150),s=n(6),l=n(17),f=n(4),p=n(11),h=n(93),d=n(324);u(i.prototype,{destructor:function(){this.topLevelType=null,this.nativeEvent=null,this.ancestors.length=0}}),l.addPoolingTo(i,l.twoArgumentPooler);var 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(86),u=n(159),c=n(51),s=n(161),l=n(11),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(86),p=(n(40),n(9),n(15),n(24)),h=n(342),d=(n(8),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],m=a[u];g===m?(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(m,o[d],v,f,e,n)),d++),f++,v=p.getHostNode(m)}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(9),n(53)),l=n(88),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 t&&(n=t.ref,r=t._owner);var i=null,o=null;return null!==e&&\"object\"==typeof e&&(i=e.ref,o=e._owner),n!==i||\"string\"==typeof i&&o!==r},a.detachRefs=function(t,e){if(null!==e&&\"object\"==typeof e){var n=e.ref;null!=n&&i(n,t,e._owner)}},t.exports=a},function(t,e,n){\"use strict\";function r(t){this.reinitializeTransaction(),this.renderToStaticMarkup=t,this.useCreateElement=!1,this.updateQueue=new u(this)}var i=n(3),o=n(17),a=n(53),u=(n(9),n(370)),c=[],s={enqueue:function(){}},l={getTransactionWrappers:function(){return c},getReactMountReady:function(){return s},getUpdateQueue:function(){return this.updateQueue},destructor:function(){},checkpoint:function(){},rollback:function(){}};i(r.prototype,a,l),o.addPoolingTo(r),t.exports=r},function(t,e,n){\"use strict\";function r(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\")}function i(t,e){}var o=n(88),a=(n(1),function(){function t(e){r(this,t),this.transaction=e}return t.prototype.isMounted=function(t){return!1},t.prototype.enqueueCallback=function(t,e,n){this.transaction.isInTransaction()&&o.enqueueCallback(t,e,n)},t.prototype.enqueueForceUpdate=function(t){this.transaction.isInTransaction()?o.enqueueForceUpdate(t):i(t,\"forceUpdate\")},t.prototype.enqueueReplaceState=function(t,e){this.transaction.isInTransaction()?o.enqueueReplaceState(t,e):i(t,\"replaceState\")},t.prototype.enqueueSetState=function(t,e){this.transaction.isInTransaction()?o.enqueueSetState(t,e):i(t,\"setState\")},t}());t.exports=a},function(t,e,n){\"use strict\";t.exports=\"15.4.2\"},function(t,e,n){\"use strict\";var r={xlink:\"http://www.w3.org/1999/xlink\",xml:\"http://www.w3.org/XML/1998/namespace\"},i={accentHeight:\"accent-height\",accumulate:0,additive:0,alignmentBaseline:\"alignment-baseline\",allowReorder:\"allowReorder\",alphabetic:0,amplitude:0,arabicForm:\"arabic-form\",ascent:0,attributeName:\"attributeName\",attributeType:\"attributeType\",autoReverse:\"autoReverse\",azimuth:0,baseFrequency:\"baseFrequency\",baseProfile:\"baseProfile\",baselineShift:\"baseline-shift\",bbox:0,begin:0,bias:0,by:0,calcMode:\"calcMode\",capHeight:\"cap-height\",clip:0,clipPath:\"clip-path\",clipRule:\"clip-rule\",clipPathUnits:\"clipPathUnits\",colorInterpolation:\"color-interpolation\",colorInterpolationFilters:\"color-interpolation-filters\",colorProfile:\"color-profile\",colorRendering:\"color-rendering\",contentScriptType:\"contentScriptType\",contentStyleType:\"contentStyleType\",cursor:0,cx:0,cy:0,d:0,decelerate:0,descent:0,diffuseConstant:\"diffuseConstant\",direction:0,display:0,divisor:0,dominantBaseline:\"dominant-baseline\",dur:0,dx:0,dy:0,edgeMode:\"edgeMode\",elevation:0,enableBackground:\"enable-background\",end:0,exponent:0,externalResourcesRequired:\"externalResourcesRequired\",fill:0,fillOpacity:\"fill-opacity\",fillRule:\"fill-rule\",filter:0,filterRes:\"filterRes\",filterUnits:\"filterUnits\",floodColor:\"flood-color\",floodOpacity:\"flood-opacity\",focusable:0,fontFamily:\"font-family\",fontSize:\"font-size\",fontSizeAdjust:\"font-size-adjust\",fontStretch:\"font-stretch\",fontStyle:\"font-style\",fontVariant:\"font-variant\",fontWeight:\"font-weight\",format:0,from:0,fx:0,fy:0,g1:0,g2:0,glyphName:\"glyph-name\",glyphOrientationHorizontal:\"glyph-orientation-horizontal\",glyphOrientationVertical:\"glyph-orientation-vertical\",glyphRef:\"glyphRef\",gradientTransform:\"gradientTransform\",gradientUnits:\"gradientUnits\",hanging:0,horizAdvX:\"horiz-adv-x\",horizOriginX:\"horiz-origin-x\",ideographic:0,imageRendering:\"image-rendering\",in:0,in2:0,intercept:0,k:0,k1:0,k2:0,k3:0,k4:0,kernelMatrix:\"kernelMatrix\",kernelUnitLength:\"kernelUnitLength\",kerning:0,keyPoints:\"keyPoints\",keySplines:\"keySplines\",keyTimes:\"keyTimes\",lengthAdjust:\"lengthAdjust\",letterSpacing:\"letter-spacing\",lightingColor:\"lighting-color\",limitingConeAngle:\"limitingConeAngle\",local:0,markerEnd:\"marker-end\",markerMid:\"marker-mid\",markerStart:\"marker-start\",markerHeight:\"markerHeight\",markerUnits:\"markerUnits\",markerWidth:\"markerWidth\",mask:0,maskContentUnits:\"maskContentUnits\",maskUnits:\"maskUnits\",mathematical:0,mode:0,numOctaves:\"numOctaves\",offset:0,opacity:0,operator:0,order:0,orient:0,orientation:0,origin:0,overflow:0,overlinePosition:\"overline-position\",overlineThickness:\"overline-thickness\",paintOrder:\"paint-order\",panose1:\"panose-1\",pathLength:\"pathLength\",patternContentUnits:\"patternContentUnits\",patternTransform:\"patternTransform\",patternUnits:\"patternUnits\",pointerEvents:\"pointer-events\",points:0,pointsAtX:\"pointsAtX\",pointsAtY:\"pointsAtY\",pointsAtZ:\"pointsAtZ\",preserveAlpha:\"preserveAlpha\",preserveAspectRatio:\"preserveAspectRatio\",primitiveUnits:\"primitiveUnits\",r:0,radius:0,refX:\"refX\",refY:\"refY\",renderingIntent:\"rendering-intent\",repeatCount:\"repeatCount\",repeatDur:\"repeatDur\",requiredExtensions:\"requiredExtensions\",requiredFeatures:\"requiredFeatures\",restart:0,result:0,rotate:0,rx:0,ry:0,scale:0,seed:0,shapeRendering:\"shape-rendering\",slope:0,spacing:0,specularConstant:\"specularConstant\",specularExponent:\"specularExponent\",speed:0,spreadMethod:\"spreadMethod\",startOffset:\"startOffset\",stdDeviation:\"stdDeviation\",stemh:0,stemv:0,stitchTiles:\"stitchTiles\",stopColor:\"stop-color\",stopOpacity:\"stop-opacity\",strikethroughPosition:\"strikethrough-position\",strikethroughThickness:\"strikethrough-thickness\",string:0,stroke:0,strokeDasharray:\"stroke-dasharray\",strokeDashoffset:\"stroke-dashoffset\",strokeLinecap:\"stroke-linecap\",strokeLinejoin:\"stroke-linejoin\",strokeMiterlimit:\"stroke-miterlimit\",strokeOpacity:\"stroke-opacity\",strokeWidth:\"stroke-width\",surfaceScale:\"surfaceScale\",systemLanguage:\"systemLanguage\",tableValues:\"tableValues\",targetX:\"targetX\",targetY:\"targetY\",textAnchor:\"text-anchor\",textDecoration:\"text-decoration\",textRendering:\"text-rendering\",textLength:\"textLength\",to:0,transform:0,u1:0,u2:0,underlinePosition:\"underline-position\",underlineThickness:\"underline-thickness\",unicode:0,unicodeBidi:\"unicode-bidi\",unicodeRange:\"unicode-range\",unitsPerEm:\"units-per-em\",vAlphabetic:\"v-alphabetic\",vHanging:\"v-hanging\",vIdeographic:\"v-ideographic\",vMathematical:\"v-mathematical\",values:0,vectorEffect:\"vector-effect\",version:0,vertAdvY:\"vert-adv-y\",vertOriginX:\"vert-origin-x\",vertOriginY:\"vert-origin-y\",viewBox:\"viewBox\",viewTarget:\"viewTarget\",visibility:0,widths:0,wordSpacing:\"word-spacing\",writingMode:\"writing-mode\",x:0,xHeight:\"x-height\",x1:0,x2:0,xChannelSelector:\"xChannelSelector\",xlinkActuate:\"xlink:actuate\",xlinkArcrole:\"xlink:arcrole\",xlinkHref:\"xlink:href\",xlinkRole:\"xlink:role\",xlinkShow:\"xlink:show\",xlinkTitle:\"xlink:title\",xlinkType:\"xlink:type\",xmlBase:\"xml:base\",xmlns:0,xmlnsXlink:\"xmlns:xlink\",xmlLang:\"xml:lang\",xmlSpace:\"xml:space\",y:0,y1:0,y2:0,yChannelSelector:\"yChannelSelector\",z:0,zoomAndPan:\"zoomAndPan\"},o={Properties:{},DOMAttributeNamespaces:{xlinkActuate:r.xlink,xlinkArcrole:r.xlink,xlinkHref:r.xlink,xlinkRole:r.xlink,xlinkShow:r.xlink,xlinkTitle:r.xlink,xlinkType:r.xlink,xmlBase:r.xml,xmlLang:r.xml,xmlSpace:r.xml},DOMAttributeNames:{}};Object.keys(i).forEach(function(t){o.Properties[t]=0,i[t]&&(o.DOMAttributeNames[t]=i[t])}),t.exports=o},function(t,e,n){\"use strict\";function r(t){if(\"selectionStart\"in t&&c.hasSelectionCapabilities(t))return{start:t.selectionStart,end:t.selectionEnd};if(window.getSelection){var e=window.getSelection();return{anchorNode:e.anchorNode,anchorOffset:e.anchorOffset,focusNode:e.focusNode,focusOffset:e.focusOffset}}if(document.selection){var n=document.selection.createRange();return{parentElement:n.parentElement(),text:n.text,top:n.boundingTop,left:n.boundingLeft}}}function i(t,e){if(y||null==v||v!==l())return null;var n=r(v);if(!m||!p(m,n)){m=n;var i=s.getPooled(d.select,g,t,e);return i.type=\"select\",i.target=v,o.accumulateTwoPhaseDispatches(i),i}return null}var o=n(23),a=n(6),u=n(4),c=n(162),s=n(14),l=n(152),f=n(170),p=n(80),h=a.canUseDOM&&\"documentMode\"in document&&document.documentMode<=11,d={select:{phasedRegistrationNames:{bubbled:\"onSelect\",captured:\"onSelectCapture\"},dependencies:[\"topBlur\",\"topContextMenu\",\"topFocus\",\"topKeyDown\",\"topKeyUp\",\"topMouseDown\",\"topMouseUp\",\"topSelectionChange\"]}},v=null,g=null,m=null,y=!1,_=!1,b={eventTypes:d,extractEvents:function(t,e,n,r){if(!_)return null;var o=e?u.getNodeFromInstance(e):window;switch(t){case\"topFocus\":(f(o)||\"true\"===o.contentEditable)&&(v=o,g=e,m=null);break;case\"topBlur\":v=null,g=null,m=null;break;case\"topMouseDown\":y=!0;break;case\"topContextMenu\":case\"topMouseUp\":return y=!1,i(n,r);case\"topSelectionChange\":if(h)break;case\"topKeyDown\":case\"topKeyUp\":return i(n,r)}return null},didPutListener:function(t,e,n){\"onSelect\"===e&&(_=!0)}};t.exports=b},function(t,e,n){\"use strict\";function r(t){return\".\"+t._rootNodeID}function i(t){return\"button\"===t||\"input\"===t||\"select\"===t||\"textarea\"===t}var o=n(2),a=n(150),u=n(23),c=n(4),s=n(375),l=n(376),f=n(14),p=n(379),h=n(381),d=n(52),v=n(378),g=n(382),m=n(383),y=n(25),_=n(384),b=n(8),x=n(91),w=(n(0),{}),C={};[\"abort\",\"animationEnd\",\"animationIteration\",\"animationStart\",\"blur\",\"canPlay\",\"canPlayThrough\",\"click\",\"contextMenu\",\"copy\",\"cut\",\"doubleClick\",\"drag\",\"dragEnd\",\"dragEnter\",\"dragExit\",\"dragLeave\",\"dragOver\",\"dragStart\",\"drop\",\"durationChange\",\"emptied\",\"encrypted\",\"ended\",\"error\",\"focus\",\"input\",\"invalid\",\"keyDown\",\"keyPress\",\"keyUp\",\"load\",\"loadedData\",\"loadedMetadata\",\"loadStart\",\"mouseDown\",\"mouseMove\",\"mouseOut\",\"mouseOver\",\"mouseUp\",\"paste\",\"pause\",\"play\",\"playing\",\"progress\",\"rateChange\",\"reset\",\"scroll\",\"seeked\",\"seeking\",\"stalled\",\"submit\",\"suspend\",\"timeUpdate\",\"touchCancel\",\"touchEnd\",\"touchMove\",\"touchStart\",\"transitionEnd\",\"volumeChange\",\"waiting\",\"wheel\"].forEach(function(t){var e=t[0].toUpperCase()+t.slice(1),n=\"on\"+e,r=\"top\"+e,i={phasedRegistrationNames:{bubbled:n,captured:n+\"Capture\"},dependencies:[r]};w[t]=i,C[r]=i});var M={},k={eventTypes:w,extractEvents:function(t,e,n,r){var i=C[t];if(!i)return null;var a;switch(t){case\"topAbort\":case\"topCanPlay\":case\"topCanPlayThrough\":case\"topDurationChange\":case\"topEmptied\":case\"topEncrypted\":case\"topEnded\":case\"topError\":case\"topInput\":case\"topInvalid\":case\"topLoad\":case\"topLoadedData\":case\"topLoadedMetadata\":case\"topLoadStart\":case\"topPause\":case\"topPlay\":case\"topPlaying\":case\"topProgress\":case\"topRateChange\":case\"topReset\":case\"topSeeked\":case\"topSeeking\":case\"topStalled\":case\"topSubmit\":case\"topSuspend\":case\"topTimeUpdate\":case\"topVolumeChange\":case\"topWaiting\":a=f;break;case\"topKeyPress\":if(0===x(n))return null;case\"topKeyDown\":case\"topKeyUp\":a=h;break;case\"topBlur\":case\"topFocus\":a=p;break;case\"topClick\":if(2===n.button)return null;case\"topDoubleClick\":case\"topMouseDown\":case\"topMouseMove\":case\"topMouseUp\":case\"topMouseOut\":case\"topMouseOver\":case\"topContextMenu\":a=d;break;case\"topDrag\":case\"topDragEnd\":case\"topDragEnter\":case\"topDragExit\":case\"topDragLeave\":case\"topDragOver\":case\"topDragStart\":case\"topDrop\":a=v;break;case\"topTouchCancel\":case\"topTouchEnd\":case\"topTouchMove\":case\"topTouchStart\":a=g;break;case\"topAnimationEnd\":case\"topAnimationIteration\":case\"topAnimationStart\":a=s;break;case\"topTransitionEnd\":a=m;break;case\"topScroll\":a=y;break;case\"topWheel\":a=_;break;case\"topCopy\":case\"topCut\":case\"topPaste\":a=l}a?void 0:o(\"86\",t);var c=a.getPooled(i,e,n,r);return u.accumulateTwoPhaseDispatches(c),c},didPutListener:function(t,e,n){if(\"onClick\"===e&&!i(t._tag)){var o=r(t),u=c.getNodeFromInstance(t);M[o]||(M[o]=a.listen(u,\"click\",b))}},willDeleteListener:function(t,e){if(\"onClick\"===e&&!i(t._tag)){var n=r(t);M[n].remove(),delete M[n]}}};t.exports=k},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o={animationName:null,elapsedTime:null,pseudoElement:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o={clipboardData:function(t){return\"clipboardData\"in t?t.clipboardData:window.clipboardData}};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o={data:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(52),o={dataTransfer:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(25),o={relatedTarget:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o={data:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(25),o=n(91),a=n(389),u=n(92),c={key:a,location:null,ctrlKey:null,shiftKey:null,altKey:null,metaKey:null,repeat:null,locale:null,getModifierState:u,charCode:function(t){return\"keypress\"===t.type?o(t):0},keyCode:function(t){return\"keydown\"===t.type||\"keyup\"===t.type?t.keyCode:0},which:function(t){return\"keypress\"===t.type?o(t):\"keydown\"===t.type||\"keyup\"===t.type?t.keyCode:0}};i.augmentClass(r,c),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(25),o=n(92),a={touches:null,targetTouches:null,changedTouches:null,altKey:null,metaKey:null,ctrlKey:null,shiftKey:null,getModifierState:o};i.augmentClass(r,a),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(14),o={propertyName:null,elapsedTime:null,pseudoElement:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n,r){return i.call(this,t,e,n,r)}var i=n(52),o={deltaX:function(t){return\"deltaX\"in t?t.deltaX:\"wheelDeltaX\"in t?-t.wheelDeltaX:0},deltaY:function(t){return\"deltaY\"in t?t.deltaY:\"wheelDeltaY\"in t?-t.wheelDeltaY:\"wheelDelta\"in t?-t.wheelDelta:0},deltaZ:null,deltaMode:null};i.augmentClass(r,o),t.exports=r},function(t,e,n){\"use strict\";function r(t){for(var e=1,n=0,r=0,o=t.length,a=o&-4;r<a;){for(var u=Math.min(r+4096,a);r<u;r+=4)n+=(e+=t.charCodeAt(r))+(e+=t.charCodeAt(r+1))+(e+=t.charCodeAt(r+2))+(e+=t.charCodeAt(r+3));e%=i,n%=i}for(;r<o;r++)n+=e+=t.charCodeAt(r);return e%=i,n%=i,e|n<<16}var i=65521;t.exports=r},function(t,e,n){\"use strict\";function r(t,e,n){var r=null==e||\"boolean\"==typeof e||\"\"===e;if(r)return\"\";var i=isNaN(e);if(i||0===e||o.hasOwnProperty(t)&&o[t])return\"\"+e;if(\"string\"==typeof e){e=e.trim()}return e+\"px\"}var i=n(154),o=(n(1),i.isUnitlessNumber);t.exports=r},function(t,e,n){\"use strict\";function r(t){if(null==t)return null;if(1===t.nodeType)return t;var e=a.get(t);return e?(e=u(e),e?o.getNodeFromInstance(e):null):void(\"function\"==typeof t.render?i(\"44\"):i(\"45\",Object.keys(t)))}var i=n(2),o=(n(15),n(4)),a=n(40),u=n(167);n(0),n(1);t.exports=r},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){if(t&&\"object\"==typeof t){var i=t,o=void 0===i[n];o&&null!=e&&(i[n]=e)}}function i(t,e){if(null==t)return t;var n={};return o(t,r,n),n}var o=(n(84),n(172));n(1);\"undefined\"!=typeof e&&e.env,1,t.exports=i}).call(e,n(153))},function(t,e,n){\"use strict\";function r(t){if(t.key){var e=o[t.key]||t.key;if(\"Unidentified\"!==e)return e}if(\"keypress\"===t.type){var n=i(t);return 13===n?\"Enter\":String.fromCharCode(n)}return\"keydown\"===t.type||\"keyup\"===t.type?a[t.keyCode]||\"Unidentified\":\"\"}var i=n(91),o={Esc:\"Escape\",Spacebar:\" \",Left:\"ArrowLeft\",Up:\"ArrowUp\",Right:\"ArrowRight\",Down:\"ArrowDown\",Del:\"Delete\",Win:\"OS\",Menu:\"ContextMenu\",Apps:\"ContextMenu\",Scroll:\"ScrollLock\",MozPrintableKey:\"Unidentified\"},a={8:\"Backspace\",9:\"Tab\",12:\"Clear\",13:\"Enter\",16:\"Shift\",17:\"Control\",18:\"Alt\",19:\"Pause\",20:\"CapsLock\",27:\"Escape\",32:\" \",33:\"PageUp\",34:\"PageDown\",35:\"End\",36:\"Home\",37:\"ArrowLeft\",38:\"ArrowUp\",39:\"ArrowRight\",40:\"ArrowDown\",45:\"Insert\",46:\"Delete\",112:\"F1\",113:\"F2\",114:\"F3\",115:\"F4\",116:\"F5\",117:\"F6\",118:\"F7\",119:\"F8\",120:\"F9\",121:\"F10\",122:\"F11\",123:\"F12\",144:\"NumLock\",145:\"ScrollLock\",224:\"Meta\"};t.exports=r},function(t,e,n){\"use strict\";function r(t){var e=t&&(i&&t[i]||t[o]);if(\"function\"==typeof e)return e}var i=\"function\"==typeof Symbol&&Symbol.iterator,o=\"@@iterator\";t.exports=r},function(t,e,n){\"use strict\";function r(){return i++}var i=1;t.exports=r},function(t,e,n){\"use strict\";function r(t){for(;t&&t.firstChild;)t=t.firstChild;return t}function i(t){for(;t;){if(t.nextSibling)return t.nextSibling;t=t.parentNode}}function o(t,e){for(var n=r(t),o=0,a=0;n;){if(3===n.nodeType){if(a=o+n.textContent.length,o<=e&&a>=e)return{node:n,offset:e-o};o=a}n=r(i(n))}}t.exports=o},function(t,e,n){\"use strict\";function r(t,e){var n={};return n[t.toLowerCase()]=e.toLowerCase(),n[\"Webkit\"+t]=\"webkit\"+e,n[\"Moz\"+t]=\"moz\"+e,n[\"ms\"+t]=\"MS\"+e,n[\"O\"+t]=\"o\"+e.toLowerCase(),n}function i(t){if(u[t])return u[t];if(!a[t])return t;var e=a[t];for(var n in e)if(e.hasOwnProperty(n)&&n in c)return u[t]=e[n];return\"\"}var o=n(6),a={animationend:r(\"Animation\",\"AnimationEnd\"),animationiteration:r(\"Animation\",\"AnimationIteration\"),animationstart:r(\"Animation\",\"AnimationStart\"),transitionend:r(\"Transition\",\"TransitionEnd\")},u={},c={};o.canUseDOM&&(c=document.createElement(\"div\").style,\"AnimationEvent\"in window||(delete a.animationend.animation,delete a.animationiteration.animation,delete a.animationstart.animation),\"TransitionEvent\"in window||delete a.transitionend.transition),t.exports=i},function(t,e,n){\"use strict\";function r(t){return'\"'+i(t)+'\"'}var i=n(54);t.exports=r},function(t,e,n){\"use strict\";var r=n(163);t.exports=r.renderSubtreeIntoContainer},function(t,e,n){\"use strict\";function r(t,e){var n=l.extractSingleTouch(e);return n?n[t.page]:t.page in e?e[t.page]:e[t.client]+f[t.envScroll]}function i(t,e){var n=r(b.x,e),i=r(b.y,e);return Math.pow(Math.pow(n-t.x,2)+Math.pow(i-t.y,2),.5)}function o(t){return{tapMoveThreshold:g,ignoreMouseThreshold:m,eventTypes:C,extractEvents:function(e,n,o,a){if(!h(e)&&!d(e))return null;if(v(e))_=M();else if(t(_,M()))return null;var u=null,l=i(y,o);return d(e)&&l<g&&(u=s.getPooled(C.touchTap,n,o,a)),h(e)?(y.x=r(b.x,o),y.y=r(b.y,o)):d(e)&&(y.x=0,y.y=0),c.accumulateTwoPhaseDispatches(u),u}}}var a=n(339),u=n(50),c=n(23),s=n(25),l=n(397),f=n(89),p=n(329),h=(a.topLevelTypes,u.isStartish),d=u.isEndish,v=function(t){var e=[\"topTouchCancel\",\"topTouchEnd\",\"topTouchStart\",\"topTouchMove\"];return e.indexOf(t)>=0},g=10,m=750,y={x:null,y:null},_=null,b={x:{page:\"pageX\",client:\"clientX\",envScroll:\"currentPageScrollLeft\"},y:{page:\"pageY\",client:\"clientY\",envScroll:\"currentPageScrollTop\"}},x=[\"topTouchStart\",\"topTouchCancel\",\"topTouchEnd\",\"topTouchMove\"],w=[\"topMouseDown\",\"topMouseMove\",\"topMouseUp\"].concat(x),C={touchTap:{phasedRegistrationNames:{bubbled:p({onTouchTap:null}),captured:p({onTouchTapCapture:null})},dependencies:w}},M=function(){return Date.now?Date.now:function(){return+new Date}}();t.exports=o},function(t,e){var n={extractSingleTouch:function(t){var e=t.touches,n=t.changedTouches,r=e&&e.length>0,i=n&&n.length>0;return!r&&i?n[0]:r?e[0]:t}};t.exports=n},function(t,e){t.exports=function(t,e){if(t&&e-t<750)return!0}},function(t,e,n){\"use strict\";function r(t){var e=/[=:]/g,n={\"=\":\"=0\",\":\":\"=2\"},r=(\"\"+t).replace(e,function(t){return n[t]});return\"$\"+r}function i(t){var e=/(=0|=2)/g,n={\"=0\":\"=\",\"=2\":\":\"},r=\".\"===t[0]&&\"$\"===t[1]?t.substring(2):t.substring(1);return(\"\"+r).replace(e,function(t){return n[t]})}var o={escape:r,unescape:i};t.exports=o},function(t,e,n){\"use strict\";var r=n(28),i=(n(0),function(t){var e=this;if(e.instancePool.length){var n=e.instancePool.pop();return e.call(n,t),n}return new e(t)}),o=function(t,e){var n=this;if(n.instancePool.length){var r=n.instancePool.pop();return n.call(r,t,e),r}return new n(t,e)},a=function(t,e,n){var r=this;if(r.instancePool.length){var i=r.instancePool.pop();return r.call(i,t,e,n),i}return new r(t,e,n)},u=function(t,e,n,r){var i=this;if(i.instancePool.length){var o=i.instancePool.pop();return i.call(o,t,e,n,r),o}return new i(t,e,n,r)},c=function(t){var e=this;t instanceof e?void 0:r(\"25\"),t.destructor(),e.instancePool.length<e.poolSize&&e.instancePool.push(t)},s=10,l=i,f=function(t,e){var n=t;return n.instancePool=[],n.getPooled=e||l,n.poolSize||(n.poolSize=s),n.release=c,n},p={addPoolingTo:f,oneArgumentPooler:i,twoArgumentPooler:o,threeArgumentPooler:a,fourArgumentPooler:u};t.exports=p},function(t,e,n){\"use strict\";function r(t){return(\"\"+t).replace(b,\"$&/\")}function i(t,e){this.func=t,this.context=e,this.count=0}function o(t,e,n){var r=t.func,i=t.context;r.call(i,e,t.count++)}function a(t,e,n){if(null==t)return t;var r=i.getPooled(e,n);m(t,o,r),i.release(r)}function u(t,e,n,r){this.result=t,this.keyPrefix=e,this.func=n,this.context=r,this.count=0}function c(t,e,n){var i=t.result,o=t.keyPrefix,a=t.func,u=t.context,c=a.call(u,e,t.count++);Array.isArray(c)?s(c,i,n,g.thatReturnsArgument):null!=c&&(v.isValidElement(c)&&(c=v.cloneAndReplaceKey(c,o+(!c.key||e&&e.key===c.key?\"\":r(c.key)+\"/\")+n)),i.push(c))}function s(t,e,n,i,o){var a=\"\";null!=n&&(a=r(n)+\"/\");var s=u.getPooled(e,a,i,o);m(t,c,s),u.release(s)}function l(t,e,n){if(null==t)return t;var r=[];return s(t,r,null,e,n),r}function f(t,e,n){return null}function p(t,e){return m(t,f,null)}function h(t){var e=[];return s(t,e,null,g.thatReturnsArgument),e}var d=n(400),v=n(27),g=n(8),m=n(409),y=d.twoArgumentPooler,_=d.fourArgumentPooler,b=/\\/+/g;i.prototype.destructor=function(){this.func=null,this.context=null,this.count=0},d.addPoolingTo(i,y),u.prototype.destructor=function(){this.result=null,this.keyPrefix=null,this.func=null,this.context=null,this.count=0},d.addPoolingTo(u,_);var x={forEach:a,map:l,mapIntoWithKeyPrefixInternal:s,count:p,toArray:h};t.exports=x},function(t,e,n){\"use strict\";function r(t){return t}function i(t,e){var n=b.hasOwnProperty(e)?b[e]:null;w.hasOwnProperty(e)&&(\"OVERRIDE_BASE\"!==n?p(\"73\",e):void 0),t&&(\"DEFINE_MANY\"!==n&&\"DEFINE_MANY_MERGED\"!==n?p(\"74\",e):void 0)}function o(t,e){if(e){\"function\"==typeof e?p(\"75\"):void 0,v.isValidElement(e)?p(\"76\"):void 0;var n=t.prototype,r=n.__reactAutoBindPairs;e.hasOwnProperty(y)&&x.mixins(t,e.mixins);for(var o in e)if(e.hasOwnProperty(o)&&o!==y){var a=e[o],u=n.hasOwnProperty(o);if(i(u,o),x.hasOwnProperty(o))x[o](t,a);else{var l=b.hasOwnProperty(o),f=\"function\"==typeof a,h=f&&!l&&!u&&e.autobind!==!1;if(h)r.push(o,a),n[o]=a;else if(u){var d=b[o];!l||\"DEFINE_MANY_MERGED\"!==d&&\"DEFINE_MANY\"!==d?p(\"77\",d,o):void 0,\"DEFINE_MANY_MERGED\"===d?n[o]=c(n[o],a):\"DEFINE_MANY\"===d&&(n[o]=s(n[o],a))}else n[o]=a}}}else;}function a(t,e){if(e)for(var n in e){var r=e[n];if(e.hasOwnProperty(n)){var i=n in x;i?p(\"78\",n):void 0;var o=n in t;o?p(\"79\",n):void 0,t[n]=r}}}function u(t,e){t&&e&&\"object\"==typeof t&&\"object\"==typeof e?void 0:p(\"80\");for(var n in e)e.hasOwnProperty(n)&&(void 0!==t[n]?p(\"81\",n):void 0,t[n]=e[n]);return t}function c(t,e){return function(){var n=t.apply(this,arguments),r=e.apply(this,arguments);if(null==n)return r;if(null==r)return n;var i={};return u(i,n),u(i,r),i}}function s(t,e){return function(){t.apply(this,arguments),e.apply(this,arguments)}}function l(t,e){var n=e.bind(t);return n;\n",
       "}function f(t){for(var e=t.__reactAutoBindPairs,n=0;n<e.length;n+=2){var r=e[n],i=e[n+1];t[r]=l(t,i)}}var p=n(28),h=n(3),d=n(97),v=n(27),g=(n(175),n(98)),m=n(38),y=(n(0),n(1),\"mixins\"),_=[],b={mixins:\"DEFINE_MANY\",statics:\"DEFINE_MANY\",propTypes:\"DEFINE_MANY\",contextTypes:\"DEFINE_MANY\",childContextTypes:\"DEFINE_MANY\",getDefaultProps:\"DEFINE_MANY_MERGED\",getInitialState:\"DEFINE_MANY_MERGED\",getChildContext:\"DEFINE_MANY_MERGED\",render:\"DEFINE_ONCE\",componentWillMount:\"DEFINE_MANY\",componentDidMount:\"DEFINE_MANY\",componentWillReceiveProps:\"DEFINE_MANY\",shouldComponentUpdate:\"DEFINE_ONCE\",componentWillUpdate:\"DEFINE_MANY\",componentDidUpdate:\"DEFINE_MANY\",componentWillUnmount:\"DEFINE_MANY\",updateComponent:\"OVERRIDE_BASE\"},x={displayName:function(t,e){t.displayName=e},mixins:function(t,e){if(e)for(var n=0;n<e.length;n++)o(t,e[n])},childContextTypes:function(t,e){t.childContextTypes=h({},t.childContextTypes,e)},contextTypes:function(t,e){t.contextTypes=h({},t.contextTypes,e)},getDefaultProps:function(t,e){t.getDefaultProps?t.getDefaultProps=c(t.getDefaultProps,e):t.getDefaultProps=e},propTypes:function(t,e){t.propTypes=h({},t.propTypes,e)},statics:function(t,e){a(t,e)},autobind:function(){}},w={replaceState:function(t,e){this.updater.enqueueReplaceState(this,t),e&&this.updater.enqueueCallback(this,e,\"replaceState\")},isMounted:function(){return this.updater.isMounted(this)}},C=function(){};h(C.prototype,d.prototype,w);var M={createClass:function(t){var e=r(function(t,n,r){this.__reactAutoBindPairs.length&&f(this),this.props=t,this.context=n,this.refs=m,this.updater=r||g,this.state=null;var i=this.getInitialState?this.getInitialState():null;\"object\"!=typeof i||Array.isArray(i)?p(\"82\",e.displayName||\"ReactCompositeComponent\"):void 0,this.state=i});e.prototype=new C,e.prototype.constructor=e,e.prototype.__reactAutoBindPairs=[],_.forEach(o.bind(null,e)),o(e,t),e.getDefaultProps&&(e.defaultProps=e.getDefaultProps()),e.prototype.render?void 0:p(\"83\");for(var n in b)e.prototype[n]||(e.prototype[n]=null);return e},injection:{injectMixin:function(t){_.push(t)}}};t.exports=M},function(t,e,n){\"use strict\";var r=n(27),i=r.createFactory,o={a:i(\"a\"),abbr:i(\"abbr\"),address:i(\"address\"),area:i(\"area\"),article:i(\"article\"),aside:i(\"aside\"),audio:i(\"audio\"),b:i(\"b\"),base:i(\"base\"),bdi:i(\"bdi\"),bdo:i(\"bdo\"),big:i(\"big\"),blockquote:i(\"blockquote\"),body:i(\"body\"),br:i(\"br\"),button:i(\"button\"),canvas:i(\"canvas\"),caption:i(\"caption\"),cite:i(\"cite\"),code:i(\"code\"),col:i(\"col\"),colgroup:i(\"colgroup\"),data:i(\"data\"),datalist:i(\"datalist\"),dd:i(\"dd\"),del:i(\"del\"),details:i(\"details\"),dfn:i(\"dfn\"),dialog:i(\"dialog\"),div:i(\"div\"),dl:i(\"dl\"),dt:i(\"dt\"),em:i(\"em\"),embed:i(\"embed\"),fieldset:i(\"fieldset\"),figcaption:i(\"figcaption\"),figure:i(\"figure\"),footer:i(\"footer\"),form:i(\"form\"),h1:i(\"h1\"),h2:i(\"h2\"),h3:i(\"h3\"),h4:i(\"h4\"),h5:i(\"h5\"),h6:i(\"h6\"),head:i(\"head\"),header:i(\"header\"),hgroup:i(\"hgroup\"),hr:i(\"hr\"),html:i(\"html\"),i:i(\"i\"),iframe:i(\"iframe\"),img:i(\"img\"),input:i(\"input\"),ins:i(\"ins\"),kbd:i(\"kbd\"),keygen:i(\"keygen\"),label:i(\"label\"),legend:i(\"legend\"),li:i(\"li\"),link:i(\"link\"),main:i(\"main\"),map:i(\"map\"),mark:i(\"mark\"),menu:i(\"menu\"),menuitem:i(\"menuitem\"),meta:i(\"meta\"),meter:i(\"meter\"),nav:i(\"nav\"),noscript:i(\"noscript\"),object:i(\"object\"),ol:i(\"ol\"),optgroup:i(\"optgroup\"),option:i(\"option\"),output:i(\"output\"),p:i(\"p\"),param:i(\"param\"),picture:i(\"picture\"),pre:i(\"pre\"),progress:i(\"progress\"),q:i(\"q\"),rp:i(\"rp\"),rt:i(\"rt\"),ruby:i(\"ruby\"),s:i(\"s\"),samp:i(\"samp\"),script:i(\"script\"),section:i(\"section\"),select:i(\"select\"),small:i(\"small\"),source:i(\"source\"),span:i(\"span\"),strong:i(\"strong\"),style:i(\"style\"),sub:i(\"sub\"),summary:i(\"summary\"),sup:i(\"sup\"),table:i(\"table\"),tbody:i(\"tbody\"),td:i(\"td\"),textarea:i(\"textarea\"),tfoot:i(\"tfoot\"),th:i(\"th\"),thead:i(\"thead\"),time:i(\"time\"),title:i(\"title\"),tr:i(\"tr\"),track:i(\"track\"),u:i(\"u\"),ul:i(\"ul\"),var:i(\"var\"),video:i(\"video\"),wbr:i(\"wbr\"),circle:i(\"circle\"),clipPath:i(\"clipPath\"),defs:i(\"defs\"),ellipse:i(\"ellipse\"),g:i(\"g\"),image:i(\"image\"),line:i(\"line\"),linearGradient:i(\"linearGradient\"),mask:i(\"mask\"),path:i(\"path\"),pattern:i(\"pattern\"),polygon:i(\"polygon\"),polyline:i(\"polyline\"),radialGradient:i(\"radialGradient\"),rect:i(\"rect\"),stop:i(\"stop\"),svg:i(\"svg\"),text:i(\"text\"),tspan:i(\"tspan\")};t.exports=o},function(t,e,n){\"use strict\";function r(t,e){return t===e?0!==t||1/t===1/e:t!==t&&e!==e}function i(t){this.message=t,this.stack=\"\"}function o(t){function e(e,n,r,o,a,u,c){o=o||E,u=u||r;if(null==n[r]){var s=w[a];return e?new i(null===n[r]?\"The \"+s+\" `\"+u+\"` is marked as required \"+(\"in `\"+o+\"`, but its value is `null`.\"):\"The \"+s+\" `\"+u+\"` is marked as required in \"+(\"`\"+o+\"`, but its value is `undefined`.\")):null}return t(n,r,o,a,u)}var n=e.bind(null,!1);return n.isRequired=e.bind(null,!0),n}function a(t){function e(e,n,r,o,a,u){var c=e[n],s=y(c);if(s!==t){var l=w[o],f=_(c);return new i(\"Invalid \"+l+\" `\"+a+\"` of type \"+(\"`\"+f+\"` supplied to `\"+r+\"`, expected \")+(\"`\"+t+\"`.\"))}return null}return o(e)}function u(){return o(M.thatReturns(null))}function c(t){function e(e,n,r,o,a){if(\"function\"!=typeof t)return new i(\"Property `\"+a+\"` of component `\"+r+\"` has invalid PropType notation inside arrayOf.\");var u=e[n];if(!Array.isArray(u)){var c=w[o],s=y(u);return new i(\"Invalid \"+c+\" `\"+a+\"` of type \"+(\"`\"+s+\"` supplied to `\"+r+\"`, expected an array.\"))}for(var l=0;l<u.length;l++){var f=t(u,l,r,o,a+\"[\"+l+\"]\",C);if(f instanceof Error)return f}return null}return o(e)}function s(){function t(t,e,n,r,o){var a=t[e];if(!x.isValidElement(a)){var u=w[r],c=y(a);return new i(\"Invalid \"+u+\" `\"+o+\"` of type \"+(\"`\"+c+\"` supplied to `\"+n+\"`, expected a single ReactElement.\"))}return null}return o(t)}function l(t){function e(e,n,r,o,a){if(!(e[n]instanceof t)){var u=w[o],c=t.name||E,s=b(e[n]);return new i(\"Invalid \"+u+\" `\"+a+\"` of type \"+(\"`\"+s+\"` supplied to `\"+r+\"`, expected \")+(\"instance of `\"+c+\"`.\"))}return null}return o(e)}function f(t){function e(e,n,o,a,u){for(var c=e[n],s=0;s<t.length;s++)if(r(c,t[s]))return null;var l=w[a],f=JSON.stringify(t);return new i(\"Invalid \"+l+\" `\"+u+\"` of value `\"+c+\"` \"+(\"supplied to `\"+o+\"`, expected one of \"+f+\".\"))}return Array.isArray(t)?o(e):M.thatReturnsNull}function p(t){function e(e,n,r,o,a){if(\"function\"!=typeof t)return new i(\"Property `\"+a+\"` of component `\"+r+\"` has invalid PropType notation inside objectOf.\");var u=e[n],c=y(u);if(\"object\"!==c){var s=w[o];return new i(\"Invalid \"+s+\" `\"+a+\"` of type \"+(\"`\"+c+\"` supplied to `\"+r+\"`, expected an object.\"))}for(var l in u)if(u.hasOwnProperty(l)){var f=t(u,l,r,o,a+\".\"+l,C);if(f instanceof Error)return f}return null}return o(e)}function h(t){function e(e,n,r,o,a){for(var u=0;u<t.length;u++){var c=t[u];if(null==c(e,n,r,o,a,C))return null}var s=w[o];return new i(\"Invalid \"+s+\" `\"+a+\"` supplied to \"+(\"`\"+r+\"`.\"))}return Array.isArray(t)?o(e):M.thatReturnsNull}function d(){function t(t,e,n,r,o){if(!g(t[e])){var a=w[r];return new i(\"Invalid \"+a+\" `\"+o+\"` supplied to \"+(\"`\"+n+\"`, expected a ReactNode.\"))}return null}return o(t)}function v(t){function e(e,n,r,o,a){var u=e[n],c=y(u);if(\"object\"!==c){var s=w[o];return new i(\"Invalid \"+s+\" `\"+a+\"` of type `\"+c+\"` \"+(\"supplied to `\"+r+\"`, expected `object`.\"))}for(var l in t){var f=t[l];if(f){var p=f(u,l,r,o,a+\".\"+l,C);if(p)return p}}return null}return o(e)}function g(t){switch(typeof t){case\"number\":case\"string\":case\"undefined\":return!0;case\"boolean\":return!t;case\"object\":if(Array.isArray(t))return t.every(g);if(null===t||x.isValidElement(t))return!0;var e=k(t);if(!e)return!1;var n,r=e.call(t);if(e!==t.entries){for(;!(n=r.next()).done;)if(!g(n.value))return!1}else for(;!(n=r.next()).done;){var i=n.value;if(i&&!g(i[1]))return!1}return!0;default:return!1}}function m(t,e){return\"symbol\"===t||(\"Symbol\"===e[\"@@toStringTag\"]||\"function\"==typeof Symbol&&e instanceof Symbol)}function y(t){var e=typeof t;return Array.isArray(t)?\"array\":t instanceof RegExp?\"object\":m(e,t)?\"symbol\":e}function _(t){var e=y(t);if(\"object\"===e){if(t instanceof Date)return\"date\";if(t instanceof RegExp)return\"regexp\"}return e}function b(t){return t.constructor&&t.constructor.name?t.constructor.name:E}var x=n(27),w=n(175),C=n(405),M=n(8),k=n(177),E=(n(1),\"<<anonymous>>\"),T={array:a(\"array\"),bool:a(\"boolean\"),func:a(\"function\"),number:a(\"number\"),object:a(\"object\"),string:a(\"string\"),symbol:a(\"symbol\"),any:u(),arrayOf:c,element:s(),instanceOf:l,node:d(),objectOf:p,oneOf:f,oneOfType:h,shape:v};i.prototype=Error.prototype,t.exports=T},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,e,n){this.props=t,this.context=e,this.refs=c,this.updater=n||u}function i(){}var o=n(3),a=n(97),u=n(98),c=n(38);i.prototype=a.prototype,r.prototype=new i,r.prototype.constructor=r,o(r.prototype,a.prototype),r.prototype.isPureReactComponent=!0,t.exports=r},function(t,e,n){\"use strict\";t.exports=\"15.4.2\"},function(t,e,n){\"use strict\";function r(t){return o.isValidElement(t)?void 0:i(\"143\"),t}var i=n(28),o=n(27);n(0);t.exports=r},function(t,e,n){\"use strict\";function r(t,e){return t&&\"object\"==typeof t&&null!=t.key?s.escape(t.key):e.toString(36)}function i(t,e,n,o){var p=typeof t;if(\"undefined\"!==p&&\"boolean\"!==p||(t=null),null===t||\"string\"===p||\"number\"===p||\"object\"===p&&t.$$typeof===u)return n(o,t,\"\"===e?l+r(t,0):e),1;var h,d,v=0,g=\"\"===e?l:e+f;if(Array.isArray(t))for(var m=0;m<t.length;m++)h=t[m],d=g+r(h,m),v+=i(h,d,n,o);else{var y=c(t);if(y){var _,b=y.call(t);if(y!==t.entries)for(var x=0;!(_=b.next()).done;)h=_.value,d=g+r(h,x++),v+=i(h,d,n,o);else for(;!(_=b.next()).done;){var w=_.value;w&&(h=w[1],d=g+s.escape(w[0])+f+r(h,0),v+=i(h,d,n,o))}}else if(\"object\"===p){var C=\"\",M=String(t);a(\"31\",\"[object Object]\"===M?\"object with keys {\"+Object.keys(t).join(\", \")+\"}\":M,C)}}return v}function o(t,e,n){return null==t?0:i(t,\"\",e,n)}var a=n(28),u=(n(15),n(174)),c=n(177),s=(n(0),n(399)),l=(n(1),\".\"),f=\":\";t.exports=o},function(t,e,n){\"use strict\";function r(t){return t&&t.__esModule?t:{default:t}}var i=n(41),o=r(i),a=n(182),u=r(a),c=n(183),s=r(c),l=n(181),f=r(l),p=n(180),h=r(p),d=n(179),v=r(d);(0,s.default)(),window.SHAP={SimpleListVisualizer:f.default,AdditiveForceVisualizer:h.default,AdditiveForceArrayVisualizer:v.default,React:o.default,ReactDom:u.default}}]);</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.initjs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b45c3630",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(tmp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cd84ecd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "if \"jms_style_sheet\" in plt.style.available:\n",
    "    _ = plt.style.use(\"jms_style_sheet\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3866fe10",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = (pd.read_csv(\"kp_determinants/kp_determinants_and_demographics.csv\")\n",
    "#       .assign(**{\"demographic_age_binary\": lambda d: (d[\"demographic_age\"] > 8).astype(int)})\n",
    "     )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "693a7235",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df[\"demographic_age_binned\"] = np.nan\n",
    "# df.loc[df[\"demographic_age\"] < 7, \"demographic_age_binned\"] = 0\n",
    "# df.loc[df[\"demographic_age\"].between(7, 10), \"demographic_age_binned\"] = 1\n",
    "# df.loc[df[\"demographic_age\"] > 10, \"demographic_age_binned\"] = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "61ec04db",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"demographic_age_binned\"] = np.nan\n",
    "df.loc[df[\"demographic_age\"] < 8, \"demographic_age_binned\"] = 0\n",
    "df.loc[df[\"demographic_age\"] > 9, \"demographic_age_binned\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9fd448cf-c6ca-40e8-a335-5ff0aecd7b1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"demographic_gender_binned\"] = np.nan\n",
    "df.loc[df[\"demographic_gender\"] == 1, \"demographic_gender_binned\"] = 0\n",
    "df.loc[df[\"demographic_gender\"] == 2, \"demographic_gender_binned\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7a09ca5d-27a6-4d91-ade1-710fb8e1924a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"demographic_region_binned\"] = np.nan\n",
    "df.loc[df[\"demographic_region\"] == 17, \"demographic_region_binned\"] = 0\n",
    "df.loc[df[\"demographic_region\"] != 17, \"demographic_region_binned\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3184f3ac-ca59-4af2-ae88-25dcc786e8f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"demographic_education_binned\"] = np.nan\n",
    "df.loc[df[\"demographic_education\"] <=2, \"demographic_education_binned\"] = 0\n",
    "df.loc[df[\"demographic_education\"] > 2, \"demographic_education_binned\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "86b38365-83e1-49fc-8dca-904a317f9ced",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"demographic_living_with_binned\"] = np.nan\n",
    "df.loc[df[\"demographic_living_with\"]==1, \"demographic_living_with_binned\"] = 0\n",
    "df.loc[df[\"demographic_living_with\"]==2, \"demographic_living_with_binned\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c097b40d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1154 entries, 0 to 1153\n",
      "Data columns (total 36 columns):\n",
      " #   Column                              Non-Null Count  Dtype  \n",
      "---  ------                              --------------  -----  \n",
      " 0   demographic_gender                  1154 non-null   int64  \n",
      " 1   demographic_age                     1154 non-null   int64  \n",
      " 2   demographic_region                  1148 non-null   float64\n",
      " 3   demographic_education               1152 non-null   float64\n",
      " 4   demographic_living_with             1137 non-null   float64\n",
      " 5   demographic_underage_children       1131 non-null   object \n",
      " 6   demographic_income                  1150 non-null   float64\n",
      " 7   effectiveness_masks                 1154 non-null   int64  \n",
      " 8   effectiveness_hometests             1154 non-null   int64  \n",
      " 9   effectiveness_ventilation           1154 non-null   int64  \n",
      " 10  effectiveness_quarantine            1154 non-null   int64  \n",
      " 11  effectiveness_avoid_meeting         1154 non-null   int64  \n",
      " 12  effectiveness_announce_test_result  1154 non-null   int64  \n",
      " 13  effectiveness_avoid_public_events   1154 non-null   int64  \n",
      " 14  effectiveness_covid_passport        1154 non-null   int64  \n",
      " 15  ease_masks                          1154 non-null   int64  \n",
      " 16  ease_hometests                      1154 non-null   int64  \n",
      " 17  ease_ventilation                    1154 non-null   int64  \n",
      " 18  ease_quarantine                     1154 non-null   int64  \n",
      " 19  ease_avoid_meeting                  1154 non-null   int64  \n",
      " 20  ease_announce_test_result           1154 non-null   int64  \n",
      " 21  ease_avoid_public_events            1154 non-null   int64  \n",
      " 22  ease_covid_passport                 1154 non-null   int64  \n",
      " 23  persistence_masks                   1154 non-null   int64  \n",
      " 24  persistence_hometests               1154 non-null   int64  \n",
      " 25  persistence_ventilation             1154 non-null   int64  \n",
      " 26  persistence_quarantine              1154 non-null   int64  \n",
      " 27  persistence_avoid_meeting           1154 non-null   int64  \n",
      " 28  persistence_announce_test_result    1154 non-null   int64  \n",
      " 29  persistence_avoid_public_events     1154 non-null   int64  \n",
      " 30  persistence_covid_passport          1154 non-null   int64  \n",
      " 31  demographic_age_binned              894 non-null    float64\n",
      " 32  demographic_gender_binned           1150 non-null   float64\n",
      " 33  demographic_region_binned           1154 non-null   float64\n",
      " 34  demographic_education_binned        1152 non-null   float64\n",
      " 35  demographic_living_with_binned      1098 non-null   float64\n",
      "dtypes: float64(9), int64(26), object(1)\n",
      "memory usage: 324.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8b22f888",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = (df\n",
    "      .dropna(axis=0, inplace=False)\n",
    "      .assign(**{\"demographic_age_binned\": lambda d: d[\"demographic_age_binned\"].astype(int)})\n",
    "     )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "45e534c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>demographic_gender</th>\n",
       "      <th>demographic_age</th>\n",
       "      <th>demographic_region</th>\n",
       "      <th>demographic_education</th>\n",
       "      <th>demographic_living_with</th>\n",
       "      <th>demographic_underage_children</th>\n",
       "      <th>demographic_income</th>\n",
       "      <th>effectiveness_masks</th>\n",
       "      <th>effectiveness_hometests</th>\n",
       "      <th>effectiveness_ventilation</th>\n",
       "      <th>...</th>\n",
       "      <th>persistence_quarantine</th>\n",
       "      <th>persistence_avoid_meeting</th>\n",
       "      <th>persistence_announce_test_result</th>\n",
       "      <th>persistence_avoid_public_events</th>\n",
       "      <th>persistence_covid_passport</th>\n",
       "      <th>demographic_age_binned</th>\n",
       "      <th>demographic_gender_binned</th>\n",
       "      <th>demographic_region_binned</th>\n",
       "      <th>demographic_education_binned</th>\n",
       "      <th>demographic_living_with_binned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   demographic_gender  demographic_age  demographic_region  \\\n",
       "0                   1                7                17.0   \n",
       "1                   1                4                17.0   \n",
       "2                   1                6                17.0   \n",
       "3                   1                7                17.0   \n",
       "4                   1                4                17.0   \n",
       "\n",
       "   demographic_education  demographic_living_with  \\\n",
       "0                    2.0                      2.0   \n",
       "1                    3.0                      2.0   \n",
       "2                    4.0                      2.0   \n",
       "3                    4.0                      2.0   \n",
       "4                    2.0                      1.0   \n",
       "\n",
       "  demographic_underage_children  demographic_income  effectiveness_masks  \\\n",
       "0                           Yes                 3.0                    2   \n",
       "1                           Yes                 2.0                    3   \n",
       "2                           Yes                 3.0                    5   \n",
       "3                           Yes                 3.0                    5   \n",
       "4                            No                 4.0                    1   \n",
       "\n",
       "   effectiveness_hometests  effectiveness_ventilation  ...  \\\n",
       "0                        1                          5  ...   \n",
       "1                        1                          5  ...   \n",
       "2                        5                          5  ...   \n",
       "3                        5                          4  ...   \n",
       "4                        1                          3  ...   \n",
       "\n",
       "   persistence_quarantine  persistence_avoid_meeting  \\\n",
       "0                       4                          4   \n",
       "1                       1                          1   \n",
       "2                       3                          3   \n",
       "3                       5                          3   \n",
       "4                       1                          1   \n",
       "\n",
       "   persistence_announce_test_result  persistence_avoid_public_events  \\\n",
       "0                                 5                                5   \n",
       "1                                 5                                4   \n",
       "2                                 5                                1   \n",
       "3                                 5                                3   \n",
       "4                                 1                                1   \n",
       "\n",
       "   persistence_covid_passport  demographic_age_binned  \\\n",
       "0                           0                       0   \n",
       "1                           5                       0   \n",
       "2                           4                       0   \n",
       "3                           5                       0   \n",
       "4                           1                       0   \n",
       "\n",
       "   demographic_gender_binned  demographic_region_binned  \\\n",
       "0                        0.0                        0.0   \n",
       "1                        0.0                        0.0   \n",
       "2                        0.0                        0.0   \n",
       "3                        0.0                        0.0   \n",
       "4                        0.0                        0.0   \n",
       "\n",
       "   demographic_education_binned  demographic_living_with_binned  \n",
       "0                           0.0                             1.0  \n",
       "1                           1.0                             1.0  \n",
       "2                           1.0                             1.0  \n",
       "3                           1.0                             1.0  \n",
       "4                           0.0                             0.0  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(826, 36)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df.head()); display(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa2a5f6a",
   "metadata": {},
   "source": [
    "## Plot the amount of rows in each side of the target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f63f03c5-4657-42cf-b382-76fe19929a9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "use_binned_target = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "87f906c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "unbinned_target = \"demographic_living_with\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "95ecb0c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount in each outcome\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2.0    629\n",
       "1.0    197\n",
       "Name: demographic_living_with, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = sns.countplot(x=df[unbinned_target])\n",
    "print(\"Amount in each outcome\")\n",
    "df[unbinned_target].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6229a181",
   "metadata": {},
   "outputs": [],
   "source": [
    "binned_target = f\"{unbinned_target}_binned\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e0bb71b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount in each outcome\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.0    629\n",
       "0.0    197\n",
       "Name: demographic_living_with_binned, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = sns.countplot(x=df[binned_target])\n",
    "print(\"Amount in each outcome\")\n",
    "df[binned_target].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "126e2b8d-bc0d-40e5-a265-cc49be345180",
   "metadata": {},
   "outputs": [],
   "source": [
    "if use_binned_target:\n",
    "    target = binned_target\n",
    "else:\n",
    "    target = unbinned_target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f1a529f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# target = \"demographic_age\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "215985c7",
   "metadata": {},
   "source": [
    "## dict_of_models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "78a5ed90",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dict_of_models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d1e8a117",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_models_dict = [\n",
    "     {'label': 'Logistic Regression', 'model': LogisticRegression()},\n",
    "     {'label': 'Gradient Boosting', 'model': GradientBoostingClassifier()},\n",
    "#      {'label': 'K_Neighbors Classifier',\n",
    "#       'model': KNeighborsClassifier(n_neighbors=3)},\n",
    "#      {'label': 'SVM Classifier (linear)',\n",
    "#       'model': SVC(C=0.025, kernel='linear', probability=True)},\n",
    "#      {'label': 'SVM Classifier (Radial Basis Function; RBF)',\n",
    "#       'model': SVC(C=1, gamma=2, probability=True)},\n",
    "     {'label': 'Gaussian Process Classifier',\n",
    "      'model': GaussianProcessClassifier(kernel=1**2 * RBF(length_scale=1))},\n",
    "     {'label': 'Decision Tree (depth=5)',\n",
    "      'model': DecisionTreeClassifier(max_depth=5)},\n",
    "     {'label': 'Random Forest Classifier(depth=5)',\n",
    "      'model': RandomForestClassifier(max_depth=5, max_features=1, n_estimators=10)},\n",
    "     {'label': 'Multilayer Perceptron (MLP) Classifier',\n",
    "      'model': MLPClassifier(alpha=1, max_iter=1000)},\n",
    "     {'label': 'AdaBoost Classifier', 'model': AdaBoostClassifier()},\n",
    "     {'label': 'Naive Bayes (Gaussian) Classifier', 'model': GaussianNB()},\n",
    "     {'label': 'Quadratic Discriminant Analysis Classifier',\n",
    "      'model': QuadraticDiscriminantAnalysis()},\n",
    "    {'label': 'Categorical Boosted Classifier(depth=5)',\n",
    "      'model': CatBoostClassifier(iterations=500,\n",
    "                               depth=5,\n",
    "                               learning_rate=None,\n",
    "                               loss_function=\"Logloss\",\n",
    "                               verbose=False,\n",
    "                                  random_seed=69420,\n",
    "                                 allow_writing_files=False)}\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d282a3d4",
   "metadata": {},
   "source": [
    "## multi_roc_auc_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5bf8d5b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_list = df.drop(df.filter(regex=\"demographic\").columns.tolist(), axis=1).columns.tolist()\n",
    "X = df.loc[:, feature_list]\n",
    "y = df.loc[:, target]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e0fa52fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if y.nunique() == 2:\n",
    "    # fig, ax = multi_roc_auc_plot(X=X, y=y)\n",
    "    fig, ax = multi_roc_auc_plot(X=X, y=y, models=new_models_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8b40a2e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# AdaBoostClassifier(random_state=69420).get_params().keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "87dfb610",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting estimator with 24 features.\n",
      "Fitting estimator with 23 features.\n",
      "Fitting estimator with 22 features.\n",
      "Fitting estimator with 21 features.\n",
      "Fitting estimator with 20 features.\n",
      "Fitting estimator with 19 features.\n",
      "Fitting estimator with 18 features.\n",
      "Fitting estimator with 17 features.\n",
      "Fitting estimator with 16 features.\n",
      "Fitting estimator with 15 features.\n",
      "Fitting estimator with 14 features.\n",
      "Fitting estimator with 13 features.\n",
      "Fitting estimator with 12 features.\n",
      "Fitting estimator with 11 features.\n",
      "Fitting estimator with 10 features.\n",
      "Fitting estimator with 9 features.\n",
      "Fitting estimator with 8 features.\n",
      "Fitting estimator with 7 features.\n",
      "Fitting estimator with 6 features.\n",
      "Fitting estimator with 5 features.\n",
      "\n",
      "- Sizes :\n",
      "- X shape = (826, 24)\n",
      "- y shape = (826,)\n",
      "- X_train shape = (578, 24)\n",
      "- X_test shape = (248, 24)\n",
      "- y_train shape = (578,)\n",
      "- y_test shape = (248,)\n",
      "\n",
      "- Model info :\n",
      "- Optimal Parameters = {'bootstrap': True, 'ccp_alpha': 0.0, 'class_weight': None, 'criterion': 'gini', 'max_depth': 6, 'max_features': 'log2', 'max_leaf_nodes': None, 'max_samples': None, 'min_impurity_decrease': 0.0, 'min_samples_leaf': 1, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'n_estimators': 40, 'n_jobs': None, 'oob_score': False, 'random_state': 69420, 'verbose': 0, 'warm_start': False}\n",
      "- Selected feature list = ['ease_hometests', 'ease_avoid_meeting', 'persistence_quarantine', 'persistence_avoid_public_events']\n",
      "- Accuracy score on test set = 75.0%\n"
     ]
    }
   ],
   "source": [
    "(optimized_estimator, feature_ranking, feature_selected, feature_importance, optimal_params) = \\\n",
    "optimize_model(X=X, \n",
    "               y=y,\n",
    "               estimator=RandomForestClassifier(random_state=69420),\n",
    "               grid_params_dict = {'max_depth': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], \n",
    "                                   'n_estimators': [1, 2, 3, 4, 5, 10, 20, 30, 40, 50], \n",
    "                                   'max_features': ['log2', 'auto', 'sqrt'], \n",
    "                                   'criterion': ['gini', 'entropy']},\n",
    "               gridsearch_kwargs = {'scoring': 'accuracy', \n",
    "                                    'cv': 5, \n",
    "                                    'n_jobs': -2},\n",
    "               rfe_kwargs = {'n_features_to_select': 4, 'verbose': 1}\n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f8f2d912",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>feature</th>\n",
       "      <th>gini</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>effectiveness_hometests</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ease_quarantine</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ease_avoid_meeting</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ease_ventilation</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>persistence_quarantine</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   feature  gini\n",
       "0  effectiveness_hometests  0.06\n",
       "1          ease_quarantine  0.06\n",
       "2       ease_avoid_meeting  0.05\n",
       "3         ease_ventilation  0.05\n",
       "4   persistence_quarantine  0.05"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_importance_df = (feature_importance\n",
    "                         .to_frame(name=optimal_params[\"criterion\"].iloc[0]).sort_values(by=optimal_params[\"criterion\"].iloc[0], ascending=False)\n",
    "                         .reset_index()\n",
    "                         .rename(columns={\"index\": \"feature\"})\n",
    "                        )\n",
    "feature_importance_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "cf9a1e8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.figure(figsize=(7, 4))\n",
    "_ = sns.barplot(data=feature_importance_df, x=optimal_params[\"criterion\"].iloc[0], y=\"feature\")\n",
    "# _ = plt.savefig(\"images/feature_importances_citizen_shield_age_all.png\", dpi=400, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae03cd91",
   "metadata": {},
   "source": [
    "## Shap beeswarm plot with the optimized model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2ecd3a4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = shap.TreeExplainer(optimized_estimator, X)\n",
    "shap_values = explainer(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8585289e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x1110 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.plots.beeswarm(shap_values[:, :, 1], max_display=25,)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e418008a",
   "metadata": {},
   "source": [
    "## Reset X with the newly selected features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4758ed7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_list = feature_selected\n",
    "X = df[feature_list]\n",
    "y = df[target]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b544f64a",
   "metadata": {},
   "source": [
    "## multi_roc_auc_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f19ea15",
   "metadata": {},
   "source": [
    "#### Run all models with the selected features out of curiosity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2ee8f501",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if y.nunique() == 2:\n",
    "    # fig, ax = multi_roc_auc_plot(X=X, y=y)\n",
    "    fig, ax = multi_roc_auc_plot(X=X, y=y, models=new_models_dict, figsize=(5,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "5fc3ea4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if y.nunique() == 2:\n",
    "    fig, ax = multi_roc_auc_plot(X=X, \n",
    "                                 y=y, \n",
    "                                 models=[{\"label\": \"optimized random forest\", \"model\": optimized_estimator},\n",
    "                                         {'label': 'AdaBoost Classifier', 'model': AdaBoostClassifier()},\n",
    "                                         {'label': 'Gaussian Process Classifier', 'model': GaussianProcessClassifier(kernel=1**2 * RBF(length_scale=1))},\n",
    "                                         {'label': 'Categorical Boosted Classifier(depth=5)',  'model': CatBoostClassifier(iterations=500,\n",
    "                                                                                                                           depth=5,\n",
    "                                                                                                                           learning_rate=None,\n",
    "                                                                                                                           loss_function=\"Logloss\",\n",
    "                                                                                                                           verbose=False,\n",
    "                                                                                                                           random_seed=69420,\n",
    "                                                                                                                          allow_writing_files=False)}\n",
    "                                        ],\n",
    "                                figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "afc92719",
   "metadata": {},
   "outputs": [],
   "source": [
    "# optimized_estimator = new_models_dict[6]['model']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a4127d3",
   "metadata": {},
   "source": [
    "## plot_learning_curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e84b028a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plot_learning_curve(X=X, \n",
    "                              y=y, \n",
    "                              estimator=optimized_estimator, \n",
    "                              title = f'Learning Curve {optimized_estimator.__class__.__name__}',\n",
    "                             scoring = 'accuracy')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41e65de5",
   "metadata": {},
   "source": [
    "## plot_decision_boundary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "5ce36712",
   "metadata": {},
   "outputs": [],
   "source": [
    "if X.shape[1] == 2:\n",
    "    fig, ax = plot_decision_boundary(X=X, \n",
    "                                     y=y, \n",
    "                                     clf=optimized_estimator, \n",
    "                                     title=f\"Decision Boundary {optimized_estimator.__class__.__name__}\",\n",
    "                                     legend_title = target,\n",
    "                                     h=0.1,\n",
    "                                     figsize = (6, 4)\n",
    "                                    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff5d4c89",
   "metadata": {},
   "source": [
    "## Plot the first two columns against each other"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "0c650c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "scatter_df = pd.concat([X, y], axis=1)\n",
    "\n",
    "scatter_df[X.columns.tolist()[0]] = scatter_df[X.columns.tolist()[0]] + pd.Series(np.random.normal(loc=0.0, scale=0.1, size=scatter_df.shape[0]))\n",
    "scatter_df[X.columns.tolist()[1]] = scatter_df[X.columns.tolist()[1]] + pd.Series(np.random.normal(loc=0.0, scale=0.1, size=scatter_df.shape[0]))\n",
    "\n",
    "scatter_df[target]=scatter_df[target].astype(\"category\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "33093250",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = sns.scatterplot(data=scatter_df.dropna(), \n",
    "                   x=X.columns.tolist()[0],\n",
    "                   y=X.columns.tolist()[1],\n",
    "                   hue=target,\n",
    "                   alpha=0.45)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "378975e3",
   "metadata": {},
   "source": [
    "## plot_confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1e6d0247",
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = optimized_estimator\n",
    "\n",
    "train_set_percentage = 0.6\n",
    "train_X = X.sample(frac=train_set_percentage, random_state=69420)\n",
    "train_y = y.loc[train_X.index]\n",
    "test_X = X.drop(train_X.index, axis=0)\n",
    "test_y = y.drop(train_X.index, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "51a4d347",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = clf.fit(X = train_X, \n",
    "            y = train_y)\n",
    "    \n",
    "pred_y = clf.predict(test_X)\n",
    "cf_matrix = confusion_matrix(test_y, pred_y)\n",
    "\n",
    "fig, ax = plot_confusion_matrix(cf=cf_matrix, title=f\"Confusion Matrix classifying {target}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ea59c72",
   "metadata": {},
   "source": [
    "## summary_performance_metrics_classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "112012f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TN</th>\n",
       "      <th>FP</th>\n",
       "      <th>FN</th>\n",
       "      <th>TP</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Balanced Accuracy</th>\n",
       "      <th>Prevalence</th>\n",
       "      <th>Sensitivity</th>\n",
       "      <th>Specificity</th>\n",
       "      <th>PPV</th>\n",
       "      <th>NPV</th>\n",
       "      <th>auc</th>\n",
       "      <th>Mean AUC (CI 5%-95%)</th>\n",
       "      <th>F1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>scores</th>\n",
       "      <td>3</td>\n",
       "      <td>78</td>\n",
       "      <td>4</td>\n",
       "      <td>245</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.037</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.513</td>\n",
       "      <td>0.498 (95% CI 0.498-0.498)</td>\n",
       "      <td>0.857</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        TN  FP  FN   TP  Accuracy  Balanced Accuracy  Prevalence  Sensitivity  \\\n",
       "scores   3  78   4  245     0.752               0.51       0.755        0.984   \n",
       "\n",
       "        Specificity    PPV    NPV    auc        Mean AUC (CI 5%-95%)     F1  \n",
       "scores        0.037  0.759  0.429  0.513  0.498 (95% CI 0.498-0.498)  0.857  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if y.nunique() == 2:\n",
    "    metrics_df = summary_performance_metrics_classification(model=clf, X_test=test_X, y_true=test_y)\n",
    "    display(metrics_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "615acdb9",
   "metadata": {},
   "source": [
    "## plotting cross validations of the optimized model with selected features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "08149b4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=10, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "666d4a74",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import sklearn\n",
    "# sorted(sklearn.metrics.SCORERS.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "157371ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "if y.nunique() == 2:\n",
    "    scoring_list = ('accuracy',\n",
    "     'balanced_accuracy',\n",
    "     'f1',\n",
    "     'f1_weighted',\n",
    "     'precision',\n",
    "     'precision_weighted',\n",
    "     'recall',\n",
    "     'recall_weighted',\n",
    "     'roc_auc',\n",
    "                   )\n",
    "else:\n",
    "    scoring_list = ('accuracy',\n",
    "                    'balanced_accuracy',\n",
    "#                    \"explained_variance\", \n",
    "                    \"normalized_mutual_info_score\",\n",
    "                   'v_measure_score'\n",
    "                   )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8087cb56",
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp_out = cross_validate(optimized_estimator, \n",
    "                         X, \n",
    "                         y, \n",
    "                         scoring=scoring_list, \n",
    "                         return_train_score=False, \n",
    "                         cv=cv, \n",
    "                         n_jobs=-1,\n",
    "#                         fit_params={\"sample_weight\": sampling_weights} # fit_params is returning nans for some reason :/\n",
    "                        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "410ad5ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_accuracy</th>\n",
       "      <th>test_balanced_accuracy</th>\n",
       "      <th>test_f1</th>\n",
       "      <th>test_f1_weighted</th>\n",
       "      <th>test_precision</th>\n",
       "      <th>test_precision_weighted</th>\n",
       "      <th>test_recall</th>\n",
       "      <th>test_recall_weighted</th>\n",
       "      <th>test_roc_auc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.755</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.669</td>\n",
       "      <td>0.764</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median</th>\n",
       "      <td>0.759</td>\n",
       "      <td>0.501</td>\n",
       "      <td>0.861</td>\n",
       "      <td>0.668</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.636</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.019</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.012</td>\n",
       "      <td>0.021</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.022</td>\n",
       "      <td>0.019</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        test_accuracy  test_balanced_accuracy  test_f1  test_f1_weighted  \\\n",
       "mean            0.755                   0.508    0.859             0.669   \n",
       "median          0.759                   0.501    0.861             0.668   \n",
       "std             0.019                   0.022    0.012             0.021   \n",
       "\n",
       "        test_precision  test_precision_weighted  test_recall  \\\n",
       "mean             0.764                    0.665        0.980   \n",
       "median           0.765                    0.636        0.984   \n",
       "std              0.009                    0.097        0.022   \n",
       "\n",
       "        test_recall_weighted  test_roc_auc  \n",
       "mean                   0.755         0.525  \n",
       "median                 0.759         0.530  \n",
       "std                    0.019         0.072  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(tmp_out).drop([\"fit_time\", \"score_time\"], axis=1).agg([\"mean\", \"median\", \"std\"]).round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "b2be270d",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv_metrics_df = pd.DataFrame(tmp_out).drop([\"fit_time\", \"score_time\"], axis=1).melt(var_name=\"Metric\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "59ac724f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "33.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "24.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "44.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "23.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "52.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "8.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "29.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.figure(figsize=(25,5))\n",
    "_ = sns.boxplot(data = cv_metrics_df,\n",
    "                x = \"Metric\",\n",
    "                y = \"value\")\n",
    "_ = sns.swarmplot(data = cv_metrics_df,\n",
    "                x = \"Metric\",\n",
    "                y = \"value\", edgecolor=\"white\", linewidth=1)\n",
    "_ = plt.title(f\"All performance metrics {optimized_estimator.__class__.__name__} with cross validation\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ds_env",
   "language": "python",
   "name": "ds_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}