index.html

<!DOCTYPE html>

<html lang="pt-br" xml:lang="pt-br">

<head>

<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />


<meta name="author" content="Bruno Montezano" />

<meta name="date" content="2022-08-06" />

<title>Fatores perinatais e desenvolvimento de transtorno bipolar</title>

<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
  var i, h, a;
  for (i = 0; i < hs.length; i++) {
    h = hs[i];
    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
    a = h.attributes;
    while (a.length > 0) h.removeAttribute(a[0].name);
  }
});
</script>
<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
</script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<style type="text/css">@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 300;
src: url(data:application/font-sfnt;base64,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) format('truetype');
}
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 400;
src: url(data:application/font-sfnt;base64,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) format('truetype');
}
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 500;
src: url(data:application/font-sfnt;base64,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) format('truetype');
}
@font-face {
font-family: 'Roboto';
font-style: normal;
font-weight: 700;
src: url(data:application/font-sfnt;base64,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) format('truetype');
}
html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}@media print{*,*:before,*:after{background:transparent !important;color:#000 !important;-webkit-box-shadow:none !important;box-shadow:none !important;text-shadow:none !important}a,a:visited{text-decoration:underline}a[href]:after{content:" (" attr(href) ")"}abbr[title]:after{content:" (" attr(title) ")"}a[href^="#"]:after,a[href^="javascript:"]:after{content:""}pre,blockquote{border:1px solid #999;page-break-inside:avoid}thead{display:table-header-group}tr,img{page-break-inside:avoid}img{max-width:100% !important}p,h2,h3{orphans:3;widows:3}h2,h3{page-break-after:avoid}.navbar{display:none}.btn>.caret,.dropup>.btn>.caret{border-top-color:#000 !important}.label{border:1px solid #000}.table{border-collapse:collapse !important}.table td,.table th{background-color:#fff !important}.table-bordered th,.table-bordered td{border:1px solid #ddd !important}}@font-face{font-family:'Glyphicons Halflings';src:url(data:application/vnd.ms-fontobject;base64,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);src:url(data:application/vnd.ms-fontobject;base64,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) format('embedded-opentype'),url(data:application/font-woff;base64,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) format('woff'),url(data:application/font-sfnt;base64,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) format('truetype'),url(data:image/svg+xml;base64,<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph horiz-adv-x="0" />
<glyph horiz-adv-x="400" />
<glyph unicode=" " />
<glyph unicode="*" d="M600 1100q15 0 34 -1.5t30 -3.5l11 -1q10 -2 17.5 -10.5t7.5 -18.5v-224l158 158q7 7 18 8t19 -6l106 -106q7 -8 6 -19t-8 -18l-158 -158h224q10 0 18.5 -7.5t10.5 -17.5q6 -41 6 -75q0 -15 -1.5 -34t-3.5 -30l-1 -11q-2 -10 -10.5 -17.5t-18.5 -7.5h-224l158 -158 q7 -7 8 -18t-6 -19l-106 -106q-8 -7 -19 -6t-18 8l-158 158v-224q0 -10 -7.5 -18.5t-17.5 -10.5q-41 -6 -75 -6q-15 0 -34 1.5t-30 3.5l-11 1q-10 2 -17.5 10.5t-7.5 18.5v224l-158 -158q-7 -7 -18 -8t-19 6l-106 106q-7 8 -6 19t8 18l158 158h-224q-10 0 -18.5 7.5 t-10.5 17.5q-6 41 -6 75q0 15 1.5 34t3.5 30l1 11q2 10 10.5 17.5t18.5 7.5h224l-158 158q-7 7 -8 18t6 19l106 106q8 7 19 6t18 -8l158 -158v224q0 10 7.5 18.5t17.5 10.5q41 6 75 6z" />
<glyph unicode="+" d="M450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-350h350q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-350v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v350h-350q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5 h350v350q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xa0;" />
<glyph unicode="&#xa5;" d="M825 1100h250q10 0 12.5 -5t-5.5 -13l-364 -364q-6 -6 -11 -18h268q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-100h275q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-125v-174q0 -11 -7.5 -18.5t-18.5 -7.5h-148q-11 0 -18.5 7.5t-7.5 18.5v174 h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h125v100h-275q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h118q-5 12 -11 18l-364 364q-8 8 -5.5 13t12.5 5h250q25 0 43 -18l164 -164q8 -8 18 -8t18 8l164 164q18 18 43 18z" />
<glyph unicode="&#x2000;" horiz-adv-x="650" />
<glyph unicode="&#x2001;" horiz-adv-x="1300" />
<glyph unicode="&#x2002;" horiz-adv-x="650" />
<glyph unicode="&#x2003;" horiz-adv-x="1300" />
<glyph unicode="&#x2004;" horiz-adv-x="433" />
<glyph unicode="&#x2005;" horiz-adv-x="325" />
<glyph unicode="&#x2006;" horiz-adv-x="216" />
<glyph unicode="&#x2007;" horiz-adv-x="216" />
<glyph unicode="&#x2008;" horiz-adv-x="162" />
<glyph unicode="&#x2009;" horiz-adv-x="260" />
<glyph unicode="&#x200a;" horiz-adv-x="72" />
<glyph unicode="&#x202f;" horiz-adv-x="260" />
<glyph unicode="&#x205f;" horiz-adv-x="325" />
<glyph unicode="&#x20ac;" d="M744 1198q242 0 354 -189q60 -104 66 -209h-181q0 45 -17.5 82.5t-43.5 61.5t-58 40.5t-60.5 24t-51.5 7.5q-19 0 -40.5 -5.5t-49.5 -20.5t-53 -38t-49 -62.5t-39 -89.5h379l-100 -100h-300q-6 -50 -6 -100h406l-100 -100h-300q9 -74 33 -132t52.5 -91t61.5 -54.5t59 -29 t47 -7.5q22 0 50.5 7.5t60.5 24.5t58 41t43.5 61t17.5 80h174q-30 -171 -128 -278q-107 -117 -274 -117q-206 0 -324 158q-36 48 -69 133t-45 204h-217l100 100h112q1 47 6 100h-218l100 100h134q20 87 51 153.5t62 103.5q117 141 297 141z" />
<glyph unicode="&#x20bd;" d="M428 1200h350q67 0 120 -13t86 -31t57 -49.5t35 -56.5t17 -64.5t6.5 -60.5t0.5 -57v-16.5v-16.5q0 -36 -0.5 -57t-6.5 -61t-17 -65t-35 -57t-57 -50.5t-86 -31.5t-120 -13h-178l-2 -100h288q10 0 13 -6t-3 -14l-120 -160q-6 -8 -18 -14t-22 -6h-138v-175q0 -11 -5.5 -18 t-15.5 -7h-149q-10 0 -17.5 7.5t-7.5 17.5v175h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v100h-267q-10 0 -13 6t3 14l120 160q6 8 18 14t22 6h117v475q0 10 7.5 17.5t17.5 7.5zM600 1000v-300h203q64 0 86.5 33t22.5 119q0 84 -22.5 116t-86.5 32h-203z" />
<glyph unicode="&#x2212;" d="M250 700h800q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#x231b;" d="M1000 1200v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-50v-100q0 -91 -49.5 -165.5t-130.5 -109.5q81 -35 130.5 -109.5t49.5 -165.5v-150h50q21 0 35.5 -14.5t14.5 -35.5v-150h-800v150q0 21 14.5 35.5t35.5 14.5h50v150q0 91 49.5 165.5t130.5 109.5q-81 35 -130.5 109.5 t-49.5 165.5v100h-50q-21 0 -35.5 14.5t-14.5 35.5v150h800zM400 1000v-100q0 -60 32.5 -109.5t87.5 -73.5q28 -12 44 -37t16 -55t-16 -55t-44 -37q-55 -24 -87.5 -73.5t-32.5 -109.5v-150h400v150q0 60 -32.5 109.5t-87.5 73.5q-28 12 -44 37t-16 55t16 55t44 37 q55 24 87.5 73.5t32.5 109.5v100h-400z" />
<glyph unicode="&#x25fc;" horiz-adv-x="500" d="M0 0z" />
<glyph unicode="&#x2601;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -206.5q0 -121 -85 -207.5t-205 -86.5h-750q-79 0 -135.5 57t-56.5 137q0 69 42.5 122.5t108.5 67.5q-2 12 -2 37q0 153 108 260.5t260 107.5z" />
<glyph unicode="&#x26fa;" d="M774 1193.5q16 -9.5 20.5 -27t-5.5 -33.5l-136 -187l467 -746h30q20 0 35 -18.5t15 -39.5v-42h-1200v42q0 21 15 39.5t35 18.5h30l468 746l-135 183q-10 16 -5.5 34t20.5 28t34 5.5t28 -20.5l111 -148l112 150q9 16 27 20.5t34 -5zM600 200h377l-182 112l-195 534v-646z " />
<glyph unicode="&#x2709;" d="M25 1100h1150q10 0 12.5 -5t-5.5 -13l-564 -567q-8 -8 -18 -8t-18 8l-564 567q-8 8 -5.5 13t12.5 5zM18 882l264 -264q8 -8 8 -18t-8 -18l-264 -264q-8 -8 -13 -5.5t-5 12.5v550q0 10 5 12.5t13 -5.5zM918 618l264 264q8 8 13 5.5t5 -12.5v-550q0 -10 -5 -12.5t-13 5.5 l-264 264q-8 8 -8 18t8 18zM818 482l364 -364q8 -8 5.5 -13t-12.5 -5h-1150q-10 0 -12.5 5t5.5 13l364 364q8 8 18 8t18 -8l164 -164q8 -8 18 -8t18 8l164 164q8 8 18 8t18 -8z" />
<glyph unicode="&#x270f;" d="M1011 1210q19 0 33 -13l153 -153q13 -14 13 -33t-13 -33l-99 -92l-214 214l95 96q13 14 32 14zM1013 800l-615 -614l-214 214l614 614zM317 96l-333 -112l110 335z" />
<glyph unicode="&#xe001;" d="M700 650v-550h250q21 0 35.5 -14.5t14.5 -35.5v-50h-800v50q0 21 14.5 35.5t35.5 14.5h250v550l-500 550h1200z" />
<glyph unicode="&#xe002;" d="M368 1017l645 163q39 15 63 0t24 -49v-831q0 -55 -41.5 -95.5t-111.5 -63.5q-79 -25 -147 -4.5t-86 75t25.5 111.5t122.5 82q72 24 138 8v521l-600 -155v-606q0 -42 -44 -90t-109 -69q-79 -26 -147 -5.5t-86 75.5t25.5 111.5t122.5 82.5q72 24 138 7v639q0 38 14.5 59 t53.5 34z" />
<glyph unicode="&#xe003;" d="M500 1191q100 0 191 -39t156.5 -104.5t104.5 -156.5t39 -191l-1 -2l1 -5q0 -141 -78 -262l275 -274q23 -26 22.5 -44.5t-22.5 -42.5l-59 -58q-26 -20 -46.5 -20t-39.5 20l-275 274q-119 -77 -261 -77l-5 1l-2 -1q-100 0 -191 39t-156.5 104.5t-104.5 156.5t-39 191 t39 191t104.5 156.5t156.5 104.5t191 39zM500 1022q-88 0 -162 -43t-117 -117t-43 -162t43 -162t117 -117t162 -43t162 43t117 117t43 162t-43 162t-117 117t-162 43z" />
<glyph unicode="&#xe005;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104z" />
<glyph unicode="&#xe006;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429z" />
<glyph unicode="&#xe007;" d="M407 800l131 353q7 19 17.5 19t17.5 -19l129 -353h421q21 0 24 -8.5t-14 -20.5l-342 -249l130 -401q7 -20 -0.5 -25.5t-24.5 6.5l-343 246l-342 -247q-17 -12 -24.5 -6.5t-0.5 25.5l130 400l-347 251q-17 12 -14 20.5t23 8.5h429zM477 700h-240l197 -142l-74 -226 l193 139l195 -140l-74 229l192 140h-234l-78 211z" />
<glyph unicode="&#xe008;" d="M600 1200q124 0 212 -88t88 -212v-250q0 -46 -31 -98t-69 -52v-75q0 -10 6 -21.5t15 -17.5l358 -230q9 -5 15 -16.5t6 -21.5v-93q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v93q0 10 6 21.5t15 16.5l358 230q9 6 15 17.5t6 21.5v75q-38 0 -69 52 t-31 98v250q0 124 88 212t212 88z" />
<glyph unicode="&#xe009;" d="M25 1100h1150q10 0 17.5 -7.5t7.5 -17.5v-1050q0 -10 -7.5 -17.5t-17.5 -7.5h-1150q-10 0 -17.5 7.5t-7.5 17.5v1050q0 10 7.5 17.5t17.5 7.5zM100 1000v-100h100v100h-100zM875 1000h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5t17.5 -7.5h550 q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM1000 1000v-100h100v100h-100zM100 800v-100h100v100h-100zM1000 800v-100h100v100h-100zM100 600v-100h100v100h-100zM1000 600v-100h100v100h-100zM875 500h-550q-10 0 -17.5 -7.5t-7.5 -17.5v-350q0 -10 7.5 -17.5 t17.5 -7.5h550q10 0 17.5 7.5t7.5 17.5v350q0 10 -7.5 17.5t-17.5 7.5zM100 400v-100h100v100h-100zM1000 400v-100h100v100h-100zM100 200v-100h100v100h-100zM1000 200v-100h100v100h-100z" />
<glyph unicode="&#xe010;" d="M50 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM50 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM650 500h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe011;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM850 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 700h200q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h200 q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM850 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5 t35.5 14.5z" />
<glyph unicode="&#xe012;" d="M50 1100h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 1100h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200 q0 21 14.5 35.5t35.5 14.5zM50 700h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 700h700q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-700 q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM50 300h200q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5zM450 300h700q21 0 35.5 -14.5t14.5 -35.5v-200 q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe013;" d="M465 477l571 571q8 8 18 8t17 -8l177 -177q8 -7 8 -17t-8 -18l-783 -784q-7 -8 -17.5 -8t-17.5 8l-384 384q-8 8 -8 18t8 17l177 177q7 8 17 8t18 -8l171 -171q7 -7 18 -7t18 7z" />
<glyph unicode="&#xe014;" d="M904 1083l178 -179q8 -8 8 -18.5t-8 -17.5l-267 -268l267 -268q8 -7 8 -17.5t-8 -18.5l-178 -178q-8 -8 -18.5 -8t-17.5 8l-268 267l-268 -267q-7 -8 -17.5 -8t-18.5 8l-178 178q-8 8 -8 18.5t8 17.5l267 268l-267 268q-8 7 -8 17.5t8 18.5l178 178q8 8 18.5 8t17.5 -8 l268 -267l268 268q7 7 17.5 7t18.5 -7z" />
<glyph unicode="&#xe015;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM425 900h150q10 0 17.5 -7.5t7.5 -17.5v-75h75q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5 t-17.5 -7.5h-75v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-75q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v75q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe016;" d="M507 1177q98 0 187.5 -38.5t154.5 -103.5t103.5 -154.5t38.5 -187.5q0 -141 -78 -262l300 -299q8 -8 8 -18.5t-8 -18.5l-109 -108q-7 -8 -17.5 -8t-18.5 8l-300 299q-119 -77 -261 -77q-98 0 -188 38.5t-154.5 103t-103 154.5t-38.5 188t38.5 187.5t103 154.5 t154.5 103.5t188 38.5zM506.5 1023q-89.5 0 -165.5 -44t-120 -120.5t-44 -166t44 -165.5t120 -120t165.5 -44t166 44t120.5 120t44 165.5t-44 166t-120.5 120.5t-166 44zM325 800h350q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-350q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe017;" d="M550 1200h100q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM800 975v166q167 -62 272 -209.5t105 -331.5q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5 t-184.5 123t-123 184.5t-45.5 224q0 184 105 331.5t272 209.5v-166q-103 -55 -165 -155t-62 -220q0 -116 57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5q0 120 -62 220t-165 155z" />
<glyph unicode="&#xe018;" d="M1025 1200h150q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM725 800h150q10 0 17.5 -7.5t7.5 -17.5v-750q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v750 q0 10 7.5 17.5t17.5 7.5zM425 500h150q10 0 17.5 -7.5t7.5 -17.5v-450q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v450q0 10 7.5 17.5t17.5 7.5zM125 300h150q10 0 17.5 -7.5t7.5 -17.5v-250q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5 v250q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe019;" d="M600 1174q33 0 74 -5l38 -152l5 -1q49 -14 94 -39l5 -2l134 80q61 -48 104 -105l-80 -134l3 -5q25 -44 39 -93l1 -6l152 -38q5 -43 5 -73q0 -34 -5 -74l-152 -38l-1 -6q-15 -49 -39 -93l-3 -5l80 -134q-48 -61 -104 -105l-134 81l-5 -3q-44 -25 -94 -39l-5 -2l-38 -151 q-43 -5 -74 -5q-33 0 -74 5l-38 151l-5 2q-49 14 -94 39l-5 3l-134 -81q-60 48 -104 105l80 134l-3 5q-25 45 -38 93l-2 6l-151 38q-6 42 -6 74q0 33 6 73l151 38l2 6q13 48 38 93l3 5l-80 134q47 61 105 105l133 -80l5 2q45 25 94 39l5 1l38 152q43 5 74 5zM600 815 q-89 0 -152 -63t-63 -151.5t63 -151.5t152 -63t152 63t63 151.5t-63 151.5t-152 63z" />
<glyph unicode="&#xe020;" d="M500 1300h300q41 0 70.5 -29.5t29.5 -70.5v-100h275q10 0 17.5 -7.5t7.5 -17.5v-75h-1100v75q0 10 7.5 17.5t17.5 7.5h275v100q0 41 29.5 70.5t70.5 29.5zM500 1200v-100h300v100h-300zM1100 900v-800q0 -41 -29.5 -70.5t-70.5 -29.5h-700q-41 0 -70.5 29.5t-29.5 70.5 v800h900zM300 800v-700h100v700h-100zM500 800v-700h100v700h-100zM700 800v-700h100v700h-100zM900 800v-700h100v700h-100z" />
<glyph unicode="&#xe021;" d="M18 618l620 608q8 7 18.5 7t17.5 -7l608 -608q8 -8 5.5 -13t-12.5 -5h-175v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v375h-300v-375q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v575h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe022;" d="M600 1200v-400q0 -41 29.5 -70.5t70.5 -29.5h300v-650q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5h450zM1000 800h-250q-21 0 -35.5 14.5t-14.5 35.5v250z" />
<glyph unicode="&#xe023;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h50q10 0 17.5 -7.5t7.5 -17.5v-275h175q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe024;" d="M1300 0h-538l-41 400h-242l-41 -400h-538l431 1200h209l-21 -300h162l-20 300h208zM515 800l-27 -300h224l-27 300h-170z" />
<glyph unicode="&#xe025;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-450h191q20 0 25.5 -11.5t-7.5 -27.5l-327 -400q-13 -16 -32 -16t-32 16l-327 400q-13 16 -7.5 27.5t25.5 11.5h191v450q0 21 14.5 35.5t35.5 14.5zM1125 400h50q10 0 17.5 -7.5t7.5 -17.5v-350q0 -10 -7.5 -17.5t-17.5 -7.5 h-1050q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h50q10 0 17.5 -7.5t7.5 -17.5v-175h900v175q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe026;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM525 900h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -275q-13 -16 -32 -16t-32 16l-223 275q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z " />
<glyph unicode="&#xe027;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM632 914l223 -275q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5l223 275q13 16 32 16 t32 -16z" />
<glyph unicode="&#xe028;" d="M225 1200h750q10 0 19.5 -7t12.5 -17l186 -652q7 -24 7 -49v-425q0 -12 -4 -27t-9 -17q-12 -6 -37 -6h-1100q-12 0 -27 4t-17 8q-6 13 -6 38l1 425q0 25 7 49l185 652q3 10 12.5 17t19.5 7zM878 1000h-556q-10 0 -19 -7t-11 -18l-87 -450q-2 -11 4 -18t16 -7h150 q10 0 19.5 -7t11.5 -17l38 -152q2 -10 11.5 -17t19.5 -7h250q10 0 19.5 7t11.5 17l38 152q2 10 11.5 17t19.5 7h150q10 0 16 7t4 18l-87 450q-2 11 -11 18t-19 7z" />
<glyph unicode="&#xe029;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM540 820l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe030;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-362q0 -10 -7.5 -17.5t-17.5 -7.5h-362q-11 0 -13 5.5t5 12.5l133 133q-109 76 -238 76q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5h150q0 -117 -45.5 -224 t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117z" />
<glyph unicode="&#xe031;" d="M947 1060l135 135q7 7 12.5 5t5.5 -13v-361q0 -11 -7.5 -18.5t-18.5 -7.5h-361q-11 0 -13 5.5t5 12.5l134 134q-110 75 -239 75q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5h-150q0 117 45.5 224t123 184.5t184.5 123t224 45.5q192 0 347 -117zM1027 600h150 q0 -117 -45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5q-192 0 -348 118l-134 -134q-7 -8 -12.5 -5.5t-5.5 12.5v360q0 11 7.5 18.5t18.5 7.5h360q10 0 12.5 -5.5t-5.5 -12.5l-133 -133q110 -76 240 -76q116 0 214.5 57t155.5 155.5t57 214.5z" />
<glyph unicode="&#xe032;" d="M125 1200h1050q10 0 17.5 -7.5t7.5 -17.5v-1150q0 -10 -7.5 -17.5t-17.5 -7.5h-1050q-10 0 -17.5 7.5t-7.5 17.5v1150q0 10 7.5 17.5t17.5 7.5zM1075 1000h-850q-10 0 -17.5 -7.5t-7.5 -17.5v-850q0 -10 7.5 -17.5t17.5 -7.5h850q10 0 17.5 7.5t7.5 17.5v850 q0 10 -7.5 17.5t-17.5 7.5zM325 900h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 900h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 700h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 700h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 500h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 500h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5zM325 300h50q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM525 300h450q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-450q-10 0 -17.5 7.5t-7.5 17.5v50 q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe033;" d="M900 800v200q0 83 -58.5 141.5t-141.5 58.5h-300q-82 0 -141 -59t-59 -141v-200h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h900q41 0 70.5 29.5t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5h-100zM400 800v150q0 21 15 35.5t35 14.5h200 q20 0 35 -14.5t15 -35.5v-150h-300z" />
<glyph unicode="&#xe034;" d="M125 1100h50q10 0 17.5 -7.5t7.5 -17.5v-1075h-100v1075q0 10 7.5 17.5t17.5 7.5zM1075 1052q4 0 9 -2q16 -6 16 -23v-421q0 -6 -3 -12q-33 -59 -66.5 -99t-65.5 -58t-56.5 -24.5t-52.5 -6.5q-26 0 -57.5 6.5t-52.5 13.5t-60 21q-41 15 -63 22.5t-57.5 15t-65.5 7.5 q-85 0 -160 -57q-7 -5 -15 -5q-6 0 -11 3q-14 7 -14 22v438q22 55 82 98.5t119 46.5q23 2 43 0.5t43 -7t32.5 -8.5t38 -13t32.5 -11q41 -14 63.5 -21t57 -14t63.5 -7q103 0 183 87q7 8 18 8z" />
<glyph unicode="&#xe035;" d="M600 1175q116 0 227 -49.5t192.5 -131t131 -192.5t49.5 -227v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v300q0 127 -70.5 231.5t-184.5 161.5t-245 57t-245 -57t-184.5 -161.5t-70.5 -231.5v-300q0 -10 -7.5 -17.5t-17.5 -7.5h-50 q-10 0 -17.5 7.5t-7.5 17.5v300q0 116 49.5 227t131 192.5t192.5 131t227 49.5zM220 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460q0 8 6 14t14 6zM820 500h160q8 0 14 -6t6 -14v-460q0 -8 -6 -14t-14 -6h-160q-8 0 -14 6t-6 14v460 q0 8 6 14t14 6z" />
<glyph unicode="&#xe036;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM900 668l120 120q7 7 17 7t17 -7l34 -34q7 -7 7 -17t-7 -17l-120 -120l120 -120q7 -7 7 -17 t-7 -17l-34 -34q-7 -7 -17 -7t-17 7l-120 119l-120 -119q-7 -7 -17 -7t-17 7l-34 34q-7 7 -7 17t7 17l119 120l-119 120q-7 7 -7 17t7 17l34 34q7 8 17 8t17 -8z" />
<glyph unicode="&#xe037;" d="M321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6 l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238q-6 8 -4.5 18t9.5 17l29 22q7 5 15 5z" />
<glyph unicode="&#xe038;" d="M967 1004h3q11 -1 17 -10q135 -179 135 -396q0 -105 -34 -206.5t-98 -185.5q-7 -9 -17 -10h-3q-9 0 -16 6l-42 34q-8 6 -9 16t5 18q111 150 111 328q0 90 -29.5 176t-84.5 157q-6 9 -5 19t10 16l42 33q7 5 15 5zM321 814l258 172q9 6 15 2.5t6 -13.5v-750q0 -10 -6 -13.5 t-15 2.5l-258 172q-21 14 -46 14h-250q-10 0 -17.5 7.5t-7.5 17.5v350q0 10 7.5 17.5t17.5 7.5h250q25 0 46 14zM766 900h4q10 -1 16 -10q96 -129 96 -290q0 -154 -90 -281q-6 -9 -17 -10l-3 -1q-9 0 -16 6l-29 23q-7 7 -8.5 16.5t4.5 17.5q72 103 72 229q0 132 -78 238 q-6 8 -4.5 18.5t9.5 16.5l29 22q7 5 15 5z" />
<glyph unicode="&#xe039;" d="M500 900h100v-100h-100v-100h-400v-100h-100v600h500v-300zM1200 700h-200v-100h200v-200h-300v300h-200v300h-100v200h600v-500zM100 1100v-300h300v300h-300zM800 1100v-300h300v300h-300zM300 900h-100v100h100v-100zM1000 900h-100v100h100v-100zM300 500h200v-500 h-500v500h200v100h100v-100zM800 300h200v-100h-100v-100h-200v100h-100v100h100v200h-200v100h300v-300zM100 400v-300h300v300h-300zM300 200h-100v100h100v-100zM1200 200h-100v100h100v-100zM700 0h-100v100h100v-100zM1200 0h-300v100h300v-100z" />
<glyph unicode="&#xe040;" d="M100 200h-100v1000h100v-1000zM300 200h-100v1000h100v-1000zM700 200h-200v1000h200v-1000zM900 200h-100v1000h100v-1000zM1200 200h-200v1000h200v-1000zM400 0h-300v100h300v-100zM600 0h-100v91h100v-91zM800 0h-100v91h100v-91zM1100 0h-200v91h200v-91z" />
<glyph unicode="&#xe041;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe042;" d="M500 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-682 682l1 475q0 10 7.5 17.5t17.5 7.5h474zM800 1200l682 -682q8 -8 8 -18t-8 -18l-464 -464q-8 -8 -18 -8t-18 8l-56 56l424 426l-700 700h150zM319.5 1024.5q-29.5 29.5 -71 29.5t-71 -29.5 t-29.5 -71.5t29.5 -71.5t71 -29.5t71 29.5t29.5 71.5t-29.5 71.5z" />
<glyph unicode="&#xe043;" d="M300 1200h825q75 0 75 -75v-900q0 -25 -18 -43l-64 -64q-8 -8 -13 -5.5t-5 12.5v950q0 10 -7.5 17.5t-17.5 7.5h-700q-25 0 -43 -18l-64 -64q-8 -8 -5.5 -13t12.5 -5h700q10 0 17.5 -7.5t7.5 -17.5v-950q0 -10 -7.5 -17.5t-17.5 -7.5h-850q-10 0 -17.5 7.5t-7.5 17.5v975 q0 25 18 43l139 139q18 18 43 18z" />
<glyph unicode="&#xe044;" d="M250 1200h800q21 0 35.5 -14.5t14.5 -35.5v-1150l-450 444l-450 -445v1151q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe045;" d="M822 1200h-444q-11 0 -19 -7.5t-9 -17.5l-78 -301q-7 -24 7 -45l57 -108q6 -9 17.5 -15t21.5 -6h450q10 0 21.5 6t17.5 15l62 108q14 21 7 45l-83 301q-1 10 -9 17.5t-19 7.5zM1175 800h-150q-10 0 -21 -6.5t-15 -15.5l-78 -156q-4 -9 -15 -15.5t-21 -6.5h-550 q-10 0 -21 6.5t-15 15.5l-78 156q-4 9 -15 15.5t-21 6.5h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-650q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h750q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5 t7.5 17.5v650q0 10 -7.5 17.5t-17.5 7.5zM850 200h-500q-10 0 -19.5 -7t-11.5 -17l-38 -152q-2 -10 3.5 -17t15.5 -7h600q10 0 15.5 7t3.5 17l-38 152q-2 10 -11.5 17t-19.5 7z" />
<glyph unicode="&#xe046;" d="M500 1100h200q56 0 102.5 -20.5t72.5 -50t44 -59t25 -50.5l6 -20h150q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5h150q2 8 6.5 21.5t24 48t45 61t72 48t102.5 21.5zM900 800v-100 h100v100h-100zM600 730q-95 0 -162.5 -67.5t-67.5 -162.5t67.5 -162.5t162.5 -67.5t162.5 67.5t67.5 162.5t-67.5 162.5t-162.5 67.5zM600 603q43 0 73 -30t30 -73t-30 -73t-73 -30t-73 30t-30 73t30 73t73 30z" />
<glyph unicode="&#xe047;" d="M681 1199l385 -998q20 -50 60 -92q18 -19 36.5 -29.5t27.5 -11.5l10 -2v-66h-417v66q53 0 75 43.5t5 88.5l-82 222h-391q-58 -145 -92 -234q-11 -34 -6.5 -57t25.5 -37t46 -20t55 -6v-66h-365v66q56 24 84 52q12 12 25 30.5t20 31.5l7 13l399 1006h93zM416 521h340 l-162 457z" />
<glyph unicode="&#xe048;" d="M753 641q5 -1 14.5 -4.5t36 -15.5t50.5 -26.5t53.5 -40t50.5 -54.5t35.5 -70t14.5 -87q0 -67 -27.5 -125.5t-71.5 -97.5t-98.5 -66.5t-108.5 -40.5t-102 -13h-500v89q41 7 70.5 32.5t29.5 65.5v827q0 24 -0.5 34t-3.5 24t-8.5 19.5t-17 13.5t-28 12.5t-42.5 11.5v71 l471 -1q57 0 115.5 -20.5t108 -57t80.5 -94t31 -124.5q0 -51 -15.5 -96.5t-38 -74.5t-45 -50.5t-38.5 -30.5zM400 700h139q78 0 130.5 48.5t52.5 122.5q0 41 -8.5 70.5t-29.5 55.5t-62.5 39.5t-103.5 13.5h-118v-350zM400 200h216q80 0 121 50.5t41 130.5q0 90 -62.5 154.5 t-156.5 64.5h-159v-400z" />
<glyph unicode="&#xe049;" d="M877 1200l2 -57q-83 -19 -116 -45.5t-40 -66.5l-132 -839q-9 -49 13 -69t96 -26v-97h-500v97q186 16 200 98l173 832q3 17 3 30t-1.5 22.5t-9 17.5t-13.5 12.5t-21.5 10t-26 8.5t-33.5 10q-13 3 -19 5v57h425z" />
<glyph unicode="&#xe050;" d="M1300 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM175 1000h-75v-800h75l-125 -167l-125 167h75v800h-75l125 167z" />
<glyph unicode="&#xe051;" d="M1100 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-650q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v650h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM1167 50l-167 -125v75h-800v-75l-167 125l167 125v-75h800v75z" />
<glyph unicode="&#xe052;" d="M50 1100h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe053;" d="M250 1100h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM250 500h700q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-700q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe054;" d="M500 950v100q0 21 14.5 35.5t35.5 14.5h600q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5zM100 650v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000 q-21 0 -35.5 14.5t-14.5 35.5zM300 350v100q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5zM0 50v100q0 21 14.5 35.5t35.5 14.5h1100q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5z" />
<glyph unicode="&#xe055;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 800h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 500h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h1100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe056;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 1100h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 800h800q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 500h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 500h800q21 0 35.5 -14.5t14.5 -35.5v-100 q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM350 200h800 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe057;" d="M400 0h-100v1100h100v-1100zM550 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM267 550l-167 -125v75h-200v100h200v75zM550 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM550 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe058;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM900 0h-100v1100h100v-1100zM50 800h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM1100 600h200v-100h-200v-75l-167 125l167 125v-75zM50 500h300q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5zM50 200h600 q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-600q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe059;" d="M75 1000h750q31 0 53 -22t22 -53v-650q0 -31 -22 -53t-53 -22h-750q-31 0 -53 22t-22 53v650q0 31 22 53t53 22zM1200 300l-300 300l300 300v-600z" />
<glyph unicode="&#xe060;" d="M44 1100h1112q18 0 31 -13t13 -31v-1012q0 -18 -13 -31t-31 -13h-1112q-18 0 -31 13t-13 31v1012q0 18 13 31t31 13zM100 1000v-737l247 182l298 -131l-74 156l293 318l236 -288v500h-1000zM342 884q56 0 95 -39t39 -94.5t-39 -95t-95 -39.5t-95 39.5t-39 95t39 94.5 t95 39z" />
<glyph unicode="&#xe062;" d="M648 1169q117 0 216 -60t156.5 -161t57.5 -218q0 -115 -70 -258q-69 -109 -158 -225.5t-143 -179.5l-54 -62q-9 8 -25.5 24.5t-63.5 67.5t-91 103t-98.5 128t-95.5 148q-60 132 -60 249q0 88 34 169.5t91.5 142t137 96.5t166.5 36zM652.5 974q-91.5 0 -156.5 -65 t-65 -157t65 -156.5t156.5 -64.5t156.5 64.5t65 156.5t-65 157t-156.5 65z" />
<glyph unicode="&#xe063;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 173v854q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57z" />
<glyph unicode="&#xe064;" d="M554 1295q21 -72 57.5 -143.5t76 -130t83 -118t82.5 -117t70 -116t49.5 -126t18.5 -136.5q0 -71 -25.5 -135t-68.5 -111t-99 -82t-118.5 -54t-125.5 -23q-84 5 -161.5 34t-139.5 78.5t-99 125t-37 164.5q0 69 18 136.5t49.5 126.5t69.5 116.5t81.5 117.5t83.5 119 t76.5 131t58.5 143zM344 710q-23 -33 -43.5 -70.5t-40.5 -102.5t-17 -123q1 -37 14.5 -69.5t30 -52t41 -37t38.5 -24.5t33 -15q21 -7 32 -1t13 22l6 34q2 10 -2.5 22t-13.5 19q-5 4 -14 12t-29.5 40.5t-32.5 73.5q-26 89 6 271q2 11 -6 11q-8 1 -15 -10z" />
<glyph unicode="&#xe065;" d="M1000 1013l108 115q2 1 5 2t13 2t20.5 -1t25 -9.5t28.5 -21.5q22 -22 27 -43t0 -32l-6 -10l-108 -115zM350 1100h400q50 0 105 -13l-187 -187h-368q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v182l200 200v-332 q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM1009 803l-362 -362l-161 -50l55 170l355 355z" />
<glyph unicode="&#xe066;" d="M350 1100h361q-164 -146 -216 -200h-195q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5l200 153v-103q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M824 1073l339 -301q8 -7 8 -17.5t-8 -17.5l-340 -306q-7 -6 -12.5 -4t-6.5 11v203q-26 1 -54.5 0t-78.5 -7.5t-92 -17.5t-86 -35t-70 -57q10 59 33 108t51.5 81.5t65 58.5t68.5 40.5t67 24.5t56 13.5t40 4.5v210q1 10 6.5 12.5t13.5 -4.5z" />
<glyph unicode="&#xe067;" d="M350 1100h350q60 0 127 -23l-178 -177h-349q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v69l200 200v-219q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5z M643 639l395 395q7 7 17.5 7t17.5 -7l101 -101q7 -7 7 -17.5t-7 -17.5l-531 -532q-7 -7 -17.5 -7t-17.5 7l-248 248q-7 7 -7 17.5t7 17.5l101 101q7 7 17.5 7t17.5 -7l111 -111q8 -7 18 -7t18 7z" />
<glyph unicode="&#xe068;" d="M318 918l264 264q8 8 18 8t18 -8l260 -264q7 -8 4.5 -13t-12.5 -5h-170v-200h200v173q0 10 5 12t13 -5l264 -260q8 -7 8 -17.5t-8 -17.5l-264 -265q-8 -7 -13 -5t-5 12v173h-200v-200h170q10 0 12.5 -5t-4.5 -13l-260 -264q-8 -8 -18 -8t-18 8l-264 264q-8 8 -5.5 13 t12.5 5h175v200h-200v-173q0 -10 -5 -12t-13 5l-264 265q-8 7 -8 17.5t8 17.5l264 260q8 7 13 5t5 -12v-173h200v200h-175q-10 0 -12.5 5t5.5 13z" />
<glyph unicode="&#xe069;" d="M250 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe070;" d="M50 1100h100q21 0 35.5 -14.5t14.5 -35.5v-438l464 453q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5 t-14.5 35.5v1000q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe071;" d="M1200 1050v-1000q0 -21 -10.5 -25t-25.5 10l-464 453v-438q0 -21 -10.5 -25t-25.5 10l-492 480q-15 14 -15 35t15 35l492 480q15 14 25.5 10t10.5 -25v-438l464 453q15 14 25.5 10t10.5 -25z" />
<glyph unicode="&#xe072;" d="M243 1074l814 -498q18 -11 18 -26t-18 -26l-814 -498q-18 -11 -30.5 -4t-12.5 28v1000q0 21 12.5 28t30.5 -4z" />
<glyph unicode="&#xe073;" d="M250 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM650 1000h200q21 0 35.5 -14.5t14.5 -35.5v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v800 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe074;" d="M1100 950v-800q0 -21 -14.5 -35.5t-35.5 -14.5h-800q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5h800q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe075;" d="M500 612v438q0 21 10.5 25t25.5 -10l492 -480q15 -14 15 -35t-15 -35l-492 -480q-15 -14 -25.5 -10t-10.5 25v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10z" />
<glyph unicode="&#xe076;" d="M1048 1102l100 1q20 0 35 -14.5t15 -35.5l5 -1000q0 -21 -14.5 -35.5t-35.5 -14.5l-100 -1q-21 0 -35.5 14.5t-14.5 35.5l-2 437l-463 -454q-14 -15 -24.5 -10.5t-10.5 25.5l-2 437l-462 -455q-15 -14 -25.5 -9.5t-10.5 24.5l-5 1000q0 21 10.5 25.5t25.5 -10.5l466 -450 l-2 438q0 20 10.5 24.5t25.5 -9.5l466 -451l-2 438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe077;" d="M850 1100h100q21 0 35.5 -14.5t14.5 -35.5v-1000q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v438l-464 -453q-15 -14 -25.5 -10t-10.5 25v1000q0 21 10.5 25t25.5 -10l464 -453v438q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe078;" d="M686 1081l501 -540q15 -15 10.5 -26t-26.5 -11h-1042q-22 0 -26.5 11t10.5 26l501 540q15 15 36 15t36 -15zM150 400h1000q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe079;" d="M885 900l-352 -353l352 -353l-197 -198l-552 552l552 550z" />
<glyph unicode="&#xe080;" d="M1064 547l-551 -551l-198 198l353 353l-353 353l198 198z" />
<glyph unicode="&#xe081;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM650 900h-100q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-150 q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5h150v-150q0 -21 14.5 -35.5t35.5 -14.5h100q21 0 35.5 14.5t14.5 35.5v150h150q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-150v150q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe082;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM850 700h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5 t35.5 -14.5h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5z" />
<glyph unicode="&#xe083;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM741.5 913q-12.5 0 -21.5 -9l-120 -120l-120 120q-9 9 -21.5 9 t-21.5 -9l-141 -141q-9 -9 -9 -21.5t9 -21.5l120 -120l-120 -120q-9 -9 -9 -21.5t9 -21.5l141 -141q9 -9 21.5 -9t21.5 9l120 120l120 -120q9 -9 21.5 -9t21.5 9l141 141q9 9 9 21.5t-9 21.5l-120 120l120 120q9 9 9 21.5t-9 21.5l-141 141q-9 9 -21.5 9z" />
<glyph unicode="&#xe084;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM546 623l-84 85q-7 7 -17.5 7t-18.5 -7l-139 -139q-7 -8 -7 -18t7 -18 l242 -241q7 -8 17.5 -8t17.5 8l375 375q7 7 7 17.5t-7 18.5l-139 139q-7 7 -17.5 7t-17.5 -7z" />
<glyph unicode="&#xe085;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM588 941q-29 0 -59 -5.5t-63 -20.5t-58 -38.5t-41.5 -63t-16.5 -89.5 q0 -25 20 -25h131q30 -5 35 11q6 20 20.5 28t45.5 8q20 0 31.5 -10.5t11.5 -28.5q0 -23 -7 -34t-26 -18q-1 0 -13.5 -4t-19.5 -7.5t-20 -10.5t-22 -17t-18.5 -24t-15.5 -35t-8 -46q-1 -8 5.5 -16.5t20.5 -8.5h173q7 0 22 8t35 28t37.5 48t29.5 74t12 100q0 47 -17 83 t-42.5 57t-59.5 34.5t-64 18t-59 4.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe086;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM675 1000h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5 t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5zM675 700h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h75v-200h-75q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h350q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5 t-17.5 7.5h-75v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe087;" d="M525 1200h150q10 0 17.5 -7.5t7.5 -17.5v-194q103 -27 178.5 -102.5t102.5 -178.5h194q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-194q-27 -103 -102.5 -178.5t-178.5 -102.5v-194q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v194 q-103 27 -178.5 102.5t-102.5 178.5h-194q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h194q27 103 102.5 178.5t178.5 102.5v194q0 10 7.5 17.5t17.5 7.5zM700 893v-168q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v168q-68 -23 -119 -74 t-74 -119h168q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-168q23 -68 74 -119t119 -74v168q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-168q68 23 119 74t74 119h-168q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h168 q-23 68 -74 119t-119 74z" />
<glyph unicode="&#xe088;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM759 823l64 -64q7 -7 7 -17.5t-7 -17.5l-124 -124l124 -124q7 -7 7 -17.5t-7 -17.5l-64 -64q-7 -7 -17.5 -7t-17.5 7l-124 124l-124 -124q-7 -7 -17.5 -7t-17.5 7l-64 64 q-7 7 -7 17.5t7 17.5l124 124l-124 124q-7 7 -7 17.5t7 17.5l64 64q7 7 17.5 7t17.5 -7l124 -124l124 124q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe089;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5t57 -214.5 t155.5 -155.5t214.5 -57t214.5 57t155.5 155.5t57 214.5t-57 214.5t-155.5 155.5t-214.5 57zM782 788l106 -106q7 -7 7 -17.5t-7 -17.5l-320 -321q-8 -7 -18 -7t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l197 197q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe090;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM600 1027q-116 0 -214.5 -57t-155.5 -155.5t-57 -214.5q0 -120 65 -225 l587 587q-105 65 -225 65zM965 819l-584 -584q104 -62 219 -62q116 0 214.5 57t155.5 155.5t57 214.5q0 115 -62 219z" />
<glyph unicode="&#xe091;" d="M39 582l522 427q16 13 27.5 8t11.5 -26v-291h550q21 0 35.5 -14.5t14.5 -35.5v-200q0 -21 -14.5 -35.5t-35.5 -14.5h-550v-291q0 -21 -11.5 -26t-27.5 8l-522 427q-16 13 -16 32t16 32z" />
<glyph unicode="&#xe092;" d="M639 1009l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291h-550q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h550v291q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe093;" d="M682 1161l427 -522q13 -16 8 -27.5t-26 -11.5h-291v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v550h-291q-21 0 -26 11.5t8 27.5l427 522q13 16 32 16t32 -16z" />
<glyph unicode="&#xe094;" d="M550 1200h200q21 0 35.5 -14.5t14.5 -35.5v-550h291q21 0 26 -11.5t-8 -27.5l-427 -522q-13 -16 -32 -16t-32 16l-427 522q-13 16 -8 27.5t26 11.5h291v550q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe095;" d="M639 1109l522 -427q16 -13 16 -32t-16 -32l-522 -427q-16 -13 -27.5 -8t-11.5 26v291q-94 -2 -182 -20t-170.5 -52t-147 -92.5t-100.5 -135.5q5 105 27 193.5t67.5 167t113 135t167 91.5t225.5 42v262q0 21 11.5 26t27.5 -8z" />
<glyph unicode="&#xe096;" d="M850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5zM350 0h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249 q8 7 18 7t18 -7l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5z" />
<glyph unicode="&#xe097;" d="M1014 1120l106 -106q7 -8 7 -18t-7 -18l-249 -249l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l249 249q8 7 18 7t18 -7zM250 600h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-249 -249q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l249 249l-94 94q-14 14 -10 24.5t25 10.5z" />
<glyph unicode="&#xe101;" d="M600 1177q117 0 224 -45.5t184.5 -123t123 -184.5t45.5 -224t-45.5 -224t-123 -184.5t-184.5 -123t-224 -45.5t-224 45.5t-184.5 123t-123 184.5t-45.5 224t45.5 224t123 184.5t184.5 123t224 45.5zM704 900h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5 t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM675 400h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe102;" d="M260 1200q9 0 19 -2t15 -4l5 -2q22 -10 44 -23l196 -118q21 -13 36 -24q29 -21 37 -12q11 13 49 35l196 118q22 13 45 23q17 7 38 7q23 0 47 -16.5t37 -33.5l13 -16q14 -21 18 -45l25 -123l8 -44q1 -9 8.5 -14.5t17.5 -5.5h61q10 0 17.5 -7.5t7.5 -17.5v-50 q0 -10 -7.5 -17.5t-17.5 -7.5h-50q-10 0 -17.5 -7.5t-7.5 -17.5v-175h-400v300h-200v-300h-400v175q0 10 -7.5 17.5t-17.5 7.5h-50q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5h61q11 0 18 3t7 8q0 4 9 52l25 128q5 25 19 45q2 3 5 7t13.5 15t21.5 19.5t26.5 15.5 t29.5 7zM915 1079l-166 -162q-7 -7 -5 -12t12 -5h219q10 0 15 7t2 17l-51 149q-3 10 -11 12t-15 -6zM463 917l-177 157q-8 7 -16 5t-11 -12l-51 -143q-3 -10 2 -17t15 -7h231q11 0 12.5 5t-5.5 12zM500 0h-375q-10 0 -17.5 7.5t-7.5 17.5v375h400v-400zM1100 400v-375 q0 -10 -7.5 -17.5t-17.5 -7.5h-375v400h400z" />
<glyph unicode="&#xe103;" d="M1165 1190q8 3 21 -6.5t13 -17.5q-2 -178 -24.5 -323.5t-55.5 -245.5t-87 -174.5t-102.5 -118.5t-118 -68.5t-118.5 -33t-120 -4.5t-105 9.5t-90 16.5q-61 12 -78 11q-4 1 -12.5 0t-34 -14.5t-52.5 -40.5l-153 -153q-26 -24 -37 -14.5t-11 43.5q0 64 42 102q8 8 50.5 45 t66.5 58q19 17 35 47t13 61q-9 55 -10 102.5t7 111t37 130t78 129.5q39 51 80 88t89.5 63.5t94.5 45t113.5 36t129 31t157.5 37t182 47.5zM1116 1098q-8 9 -22.5 -3t-45.5 -50q-38 -47 -119 -103.5t-142 -89.5l-62 -33q-56 -30 -102 -57t-104 -68t-102.5 -80.5t-85.5 -91 t-64 -104.5q-24 -56 -31 -86t2 -32t31.5 17.5t55.5 59.5q25 30 94 75.5t125.5 77.5t147.5 81q70 37 118.5 69t102 79.5t99 111t86.5 148.5q22 50 24 60t-6 19z" />
<glyph unicode="&#xe104;" d="M653 1231q-39 -67 -54.5 -131t-10.5 -114.5t24.5 -96.5t47.5 -80t63.5 -62.5t68.5 -46.5t65 -30q-4 7 -17.5 35t-18.5 39.5t-17 39.5t-17 43t-13 42t-9.5 44.5t-2 42t4 43t13.5 39t23 38.5q96 -42 165 -107.5t105 -138t52 -156t13 -159t-19 -149.5q-13 -55 -44 -106.5 t-68 -87t-78.5 -64.5t-72.5 -45t-53 -22q-72 -22 -127 -11q-31 6 -13 19q6 3 17 7q13 5 32.5 21t41 44t38.5 63.5t21.5 81.5t-6.5 94.5t-50 107t-104 115.5q10 -104 -0.5 -189t-37 -140.5t-65 -93t-84 -52t-93.5 -11t-95 24.5q-80 36 -131.5 114t-53.5 171q-2 23 0 49.5 t4.5 52.5t13.5 56t27.5 60t46 64.5t69.5 68.5q-8 -53 -5 -102.5t17.5 -90t34 -68.5t44.5 -39t49 -2q31 13 38.5 36t-4.5 55t-29 64.5t-36 75t-26 75.5q-15 85 2 161.5t53.5 128.5t85.5 92.5t93.5 61t81.5 25.5z" />
<glyph unicode="&#xe105;" d="M600 1094q82 0 160.5 -22.5t140 -59t116.5 -82.5t94.5 -95t68 -95t42.5 -82.5t14 -57.5t-14 -57.5t-43 -82.5t-68.5 -95t-94.5 -95t-116.5 -82.5t-140 -59t-159.5 -22.5t-159.5 22.5t-140 59t-116.5 82.5t-94.5 95t-68.5 95t-43 82.5t-14 57.5t14 57.5t42.5 82.5t68 95 t94.5 95t116.5 82.5t140 59t160.5 22.5zM888 829q-15 15 -18 12t5 -22q25 -57 25 -119q0 -124 -88 -212t-212 -88t-212 88t-88 212q0 59 23 114q8 19 4.5 22t-17.5 -12q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q22 -36 47 -71t70 -82t92.5 -81t113 -58.5t133.5 -24.5 t133.5 24t113 58.5t92.5 81.5t70 81.5t47 70.5q11 18 9 42.5t-14 41.5q-90 117 -163 189zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l35 34q14 15 12.5 33.5t-16.5 33.5q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe106;" d="M592 0h-148l31 120q-91 20 -175.5 68.5t-143.5 106.5t-103.5 119t-66.5 110t-22 76q0 21 14 57.5t42.5 82.5t68 95t94.5 95t116.5 82.5t140 59t160.5 22.5q61 0 126 -15l32 121h148zM944 770l47 181q108 -85 176.5 -192t68.5 -159q0 -26 -19.5 -71t-59.5 -102t-93 -112 t-129 -104.5t-158 -75.5l46 173q77 49 136 117t97 131q11 18 9 42.5t-14 41.5q-54 70 -107 130zM310 824q-70 -69 -160 -184q-13 -16 -15 -40.5t9 -42.5q18 -30 39 -60t57 -70.5t74 -73t90 -61t105 -41.5l41 154q-107 18 -178.5 101.5t-71.5 193.5q0 59 23 114q8 19 4.5 22 t-17.5 -12zM448 727l-35 -36q-15 -15 -19.5 -38.5t4.5 -41.5q37 -68 93 -116q16 -13 38.5 -11t36.5 17l12 11l22 86l-3 4q-44 44 -89 117q-11 18 -28 20t-32 -12z" />
<glyph unicode="&#xe107;" d="M-90 100l642 1066q20 31 48 28.5t48 -35.5l642 -1056q21 -32 7.5 -67.5t-50.5 -35.5h-1294q-37 0 -50.5 34t7.5 66zM155 200h345v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h345l-445 723zM496 700h208q20 0 32 -14.5t8 -34.5l-58 -252 q-4 -20 -21.5 -34.5t-37.5 -14.5h-54q-20 0 -37.5 14.5t-21.5 34.5l-58 252q-4 20 8 34.5t32 14.5z" />
<glyph unicode="&#xe108;" d="M650 1200q62 0 106 -44t44 -106v-339l363 -325q15 -14 26 -38.5t11 -44.5v-41q0 -20 -12 -26.5t-29 5.5l-359 249v-263q100 -93 100 -113v-64q0 -21 -13 -29t-32 1l-205 128l-205 -128q-19 -9 -32 -1t-13 29v64q0 20 100 113v263l-359 -249q-17 -12 -29 -5.5t-12 26.5v41 q0 20 11 44.5t26 38.5l363 325v339q0 62 44 106t106 44z" />
<glyph unicode="&#xe109;" d="M850 1200h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-150h-1100v150q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5h100q21 0 35.5 -14.5t14.5 -35.5v-50h500v50q0 21 14.5 35.5t35.5 14.5zM1100 800v-750q0 -21 -14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v750h1100zM100 600v-100h100v100h-100zM300 600v-100h100v100h-100zM500 600v-100h100v100h-100zM700 600v-100h100v100h-100zM900 600v-100h100v100h-100zM100 400v-100h100v100h-100zM300 400v-100h100v100h-100zM500 400 v-100h100v100h-100zM700 400v-100h100v100h-100zM900 400v-100h100v100h-100zM100 200v-100h100v100h-100zM300 200v-100h100v100h-100zM500 200v-100h100v100h-100zM700 200v-100h100v100h-100zM900 200v-100h100v100h-100z" />
<glyph unicode="&#xe110;" d="M1135 1165l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-159l-600 -600h-291q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h209l600 600h241v150q0 21 10.5 25t24.5 -10zM522 819l-141 -141l-122 122h-209q-21 0 -35.5 14.5 t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h291zM1135 565l249 -230q15 -14 15 -35t-15 -35l-249 -230q-14 -14 -24.5 -10t-10.5 25v150h-241l-181 181l141 141l122 -122h159v150q0 21 10.5 25t24.5 -10z" />
<glyph unicode="&#xe111;" d="M100 1100h1000q41 0 70.5 -29.5t29.5 -70.5v-600q0 -41 -29.5 -70.5t-70.5 -29.5h-596l-304 -300v300h-100q-41 0 -70.5 29.5t-29.5 70.5v600q0 41 29.5 70.5t70.5 29.5z" />
<glyph unicode="&#xe112;" d="M150 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM850 1200h200q21 0 35.5 -14.5t14.5 -35.5v-250h-300v250q0 21 14.5 35.5t35.5 14.5zM1100 800v-300q0 -41 -3 -77.5t-15 -89.5t-32 -96t-58 -89t-89 -77t-129 -51t-174 -20t-174 20 t-129 51t-89 77t-58 89t-32 96t-15 89.5t-3 77.5v300h300v-250v-27v-42.5t1.5 -41t5 -38t10 -35t16.5 -30t25.5 -24.5t35 -19t46.5 -12t60 -4t60 4.5t46.5 12.5t35 19.5t25 25.5t17 30.5t10 35t5 38t2 40.5t-0.5 42v25v250h300z" />
<glyph unicode="&#xe113;" d="M1100 411l-198 -199l-353 353l-353 -353l-197 199l551 551z" />
<glyph unicode="&#xe114;" d="M1101 789l-550 -551l-551 551l198 199l353 -353l353 353z" />
<glyph unicode="&#xe115;" d="M404 1000h746q21 0 35.5 -14.5t14.5 -35.5v-551h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v401h-381zM135 984l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-400h385l215 -200h-750q-21 0 -35.5 14.5 t-14.5 35.5v550h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe116;" d="M56 1200h94q17 0 31 -11t18 -27l38 -162h896q24 0 39 -18.5t10 -42.5l-100 -475q-5 -21 -27 -42.5t-55 -21.5h-633l48 -200h535q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-50q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-300v-50 q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v50h-31q-18 0 -32.5 10t-20.5 19l-5 10l-201 961h-54q-20 0 -35 14.5t-15 35.5t15 35.5t35 14.5z" />
<glyph unicode="&#xe117;" d="M1200 1000v-100h-1200v100h200q0 41 29.5 70.5t70.5 29.5h300q41 0 70.5 -29.5t29.5 -70.5h500zM0 800h1200v-800h-1200v800z" />
<glyph unicode="&#xe118;" d="M200 800l-200 -400v600h200q0 41 29.5 70.5t70.5 29.5h300q42 0 71 -29.5t29 -70.5h500v-200h-1000zM1500 700l-300 -700h-1200l300 700h1200z" />
<glyph unicode="&#xe119;" d="M635 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-601h150q21 0 25 -10.5t-10 -24.5l-230 -249q-14 -15 -35 -15t-35 15l-230 249q-14 14 -10 24.5t25 10.5h150v601h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe120;" d="M936 864l249 -229q14 -15 14 -35.5t-14 -35.5l-249 -229q-15 -15 -25.5 -10.5t-10.5 24.5v151h-600v-151q0 -20 -10.5 -24.5t-25.5 10.5l-249 229q-14 15 -14 35.5t14 35.5l249 229q15 15 25.5 10.5t10.5 -25.5v-149h600v149q0 21 10.5 25.5t25.5 -10.5z" />
<glyph unicode="&#xe121;" d="M1169 400l-172 732q-5 23 -23 45.5t-38 22.5h-672q-20 0 -38 -20t-23 -41l-172 -739h1138zM1100 300h-1000q-41 0 -70.5 -29.5t-29.5 -70.5v-100q0 -41 29.5 -70.5t70.5 -29.5h1000q41 0 70.5 29.5t29.5 70.5v100q0 41 -29.5 70.5t-70.5 29.5zM800 100v100h100v-100h-100 zM1000 100v100h100v-100h-100z" />
<glyph unicode="&#xe122;" d="M1150 1100q21 0 35.5 -14.5t14.5 -35.5v-850q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v850q0 21 14.5 35.5t35.5 14.5zM1000 200l-675 200h-38l47 -276q3 -16 -5.5 -20t-29.5 -4h-7h-84q-20 0 -34.5 14t-18.5 35q-55 337 -55 351v250v6q0 16 1 23.5t6.5 14 t17.5 6.5h200l675 250v-850zM0 750v-250q-4 0 -11 0.5t-24 6t-30 15t-24 30t-11 48.5v50q0 26 10.5 46t25 30t29 16t25.5 7z" />
<glyph unicode="&#xe123;" d="M553 1200h94q20 0 29 -10.5t3 -29.5l-18 -37q83 -19 144 -82.5t76 -140.5l63 -327l118 -173h17q19 0 33 -14.5t14 -35t-13 -40.5t-31 -27q-8 -4 -23 -9.5t-65 -19.5t-103 -25t-132.5 -20t-158.5 -9q-57 0 -115 5t-104 12t-88.5 15.5t-73.5 17.5t-54.5 16t-35.5 12l-11 4 q-18 8 -31 28t-13 40.5t14 35t33 14.5h17l118 173l63 327q15 77 76 140t144 83l-18 32q-6 19 3.5 32t28.5 13zM498 110q50 -6 102 -6q53 0 102 6q-12 -49 -39.5 -79.5t-62.5 -30.5t-63 30.5t-39 79.5z" />
<glyph unicode="&#xe124;" d="M800 946l224 78l-78 -224l234 -45l-180 -155l180 -155l-234 -45l78 -224l-224 78l-45 -234l-155 180l-155 -180l-45 234l-224 -78l78 224l-234 45l180 155l-180 155l234 45l-78 224l224 -78l45 234l155 -180l155 180z" />
<glyph unicode="&#xe125;" d="M650 1200h50q40 0 70 -40.5t30 -84.5v-150l-28 -125h328q40 0 70 -40.5t30 -84.5v-100q0 -45 -29 -74l-238 -344q-16 -24 -38 -40.5t-45 -16.5h-250q-7 0 -42 25t-66 50l-31 25h-61q-45 0 -72.5 18t-27.5 57v400q0 36 20 63l145 196l96 198q13 28 37.5 48t51.5 20z M650 1100l-100 -212l-150 -213v-375h100l136 -100h214l250 375v125h-450l50 225v175h-50zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe126;" d="M600 1100h250q23 0 45 -16.5t38 -40.5l238 -344q29 -29 29 -74v-100q0 -44 -30 -84.5t-70 -40.5h-328q28 -118 28 -125v-150q0 -44 -30 -84.5t-70 -40.5h-50q-27 0 -51.5 20t-37.5 48l-96 198l-145 196q-20 27 -20 63v400q0 39 27.5 57t72.5 18h61q124 100 139 100z M50 1000h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM636 1000l-136 -100h-100v-375l150 -213l100 -212h50v175l-50 225h450v125l-250 375h-214z" />
<glyph unicode="&#xe127;" d="M356 873l363 230q31 16 53 -6l110 -112q13 -13 13.5 -32t-11.5 -34l-84 -121h302q84 0 138 -38t54 -110t-55 -111t-139 -39h-106l-131 -339q-6 -21 -19.5 -41t-28.5 -20h-342q-7 0 -90 81t-83 94v525q0 17 14 35.5t28 28.5zM400 792v-503l100 -89h293l131 339 q6 21 19.5 41t28.5 20h203q21 0 30.5 25t0.5 50t-31 25h-456h-7h-6h-5.5t-6 0.5t-5 1.5t-5 2t-4 2.5t-4 4t-2.5 4.5q-12 25 5 47l146 183l-86 83zM50 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v500 q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe128;" d="M475 1103l366 -230q2 -1 6 -3.5t14 -10.5t18 -16.5t14.5 -20t6.5 -22.5v-525q0 -13 -86 -94t-93 -81h-342q-15 0 -28.5 20t-19.5 41l-131 339h-106q-85 0 -139.5 39t-54.5 111t54 110t138 38h302l-85 121q-11 15 -10.5 34t13.5 32l110 112q22 22 53 6zM370 945l146 -183 q17 -22 5 -47q-2 -2 -3.5 -4.5t-4 -4t-4 -2.5t-5 -2t-5 -1.5t-6 -0.5h-6h-6.5h-6h-475v-100h221q15 0 29 -20t20 -41l130 -339h294l106 89v503l-342 236zM1050 800h100q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5 v500q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe129;" d="M550 1294q72 0 111 -55t39 -139v-106l339 -131q21 -6 41 -19.5t20 -28.5v-342q0 -7 -81 -90t-94 -83h-525q-17 0 -35.5 14t-28.5 28l-9 14l-230 363q-16 31 6 53l112 110q13 13 32 13.5t34 -11.5l121 -84v302q0 84 38 138t110 54zM600 972v203q0 21 -25 30.5t-50 0.5 t-25 -31v-456v-7v-6v-5.5t-0.5 -6t-1.5 -5t-2 -5t-2.5 -4t-4 -4t-4.5 -2.5q-25 -12 -47 5l-183 146l-83 -86l236 -339h503l89 100v293l-339 131q-21 6 -41 19.5t-20 28.5zM450 200h500q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-500 q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe130;" d="M350 1100h500q21 0 35.5 14.5t14.5 35.5v100q0 21 -14.5 35.5t-35.5 14.5h-500q-21 0 -35.5 -14.5t-14.5 -35.5v-100q0 -21 14.5 -35.5t35.5 -14.5zM600 306v-106q0 -84 -39 -139t-111 -55t-110 54t-38 138v302l-121 -84q-15 -12 -34 -11.5t-32 13.5l-112 110 q-22 22 -6 53l230 363q1 2 3.5 6t10.5 13.5t16.5 17t20 13.5t22.5 6h525q13 0 94 -83t81 -90v-342q0 -15 -20 -28.5t-41 -19.5zM308 900l-236 -339l83 -86l183 146q22 17 47 5q2 -1 4.5 -2.5t4 -4t2.5 -4t2 -5t1.5 -5t0.5 -6v-5.5v-6v-7v-456q0 -22 25 -31t50 0.5t25 30.5 v203q0 15 20 28.5t41 19.5l339 131v293l-89 100h-503z" />
<glyph unicode="&#xe131;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM914 632l-275 223q-16 13 -27.5 8t-11.5 -26v-137h-275 q-10 0 -17.5 -7.5t-7.5 -17.5v-150q0 -10 7.5 -17.5t17.5 -7.5h275v-137q0 -21 11.5 -26t27.5 8l275 223q16 13 16 32t-16 32z" />
<glyph unicode="&#xe132;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM561 855l-275 -223q-16 -13 -16 -32t16 -32l275 -223q16 -13 27.5 -8 t11.5 26v137h275q10 0 17.5 7.5t7.5 17.5v150q0 10 -7.5 17.5t-17.5 7.5h-275v137q0 21 -11.5 26t-27.5 -8z" />
<glyph unicode="&#xe133;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM855 639l-223 275q-13 16 -32 16t-32 -16l-223 -275q-13 -16 -8 -27.5 t26 -11.5h137v-275q0 -10 7.5 -17.5t17.5 -7.5h150q10 0 17.5 7.5t7.5 17.5v275h137q21 0 26 11.5t-8 27.5z" />
<glyph unicode="&#xe134;" d="M600 1178q118 0 225 -45.5t184.5 -123t123 -184.5t45.5 -225t-45.5 -225t-123 -184.5t-184.5 -123t-225 -45.5t-225 45.5t-184.5 123t-123 184.5t-45.5 225t45.5 225t123 184.5t184.5 123t225 45.5zM675 900h-150q-10 0 -17.5 -7.5t-7.5 -17.5v-275h-137q-21 0 -26 -11.5 t8 -27.5l223 -275q13 -16 32 -16t32 16l223 275q13 16 8 27.5t-26 11.5h-137v275q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe135;" d="M600 1176q116 0 222.5 -46t184 -123.5t123.5 -184t46 -222.5t-46 -222.5t-123.5 -184t-184 -123.5t-222.5 -46t-222.5 46t-184 123.5t-123.5 184t-46 222.5t46 222.5t123.5 184t184 123.5t222.5 46zM627 1101q-15 -12 -36.5 -20.5t-35.5 -12t-43 -8t-39 -6.5 q-15 -3 -45.5 0t-45.5 -2q-20 -7 -51.5 -26.5t-34.5 -34.5q-3 -11 6.5 -22.5t8.5 -18.5q-3 -34 -27.5 -91t-29.5 -79q-9 -34 5 -93t8 -87q0 -9 17 -44.5t16 -59.5q12 0 23 -5t23.5 -15t19.5 -14q16 -8 33 -15t40.5 -15t34.5 -12q21 -9 52.5 -32t60 -38t57.5 -11 q7 -15 -3 -34t-22.5 -40t-9.5 -38q13 -21 23 -34.5t27.5 -27.5t36.5 -18q0 -7 -3.5 -16t-3.5 -14t5 -17q104 -2 221 112q30 29 46.5 47t34.5 49t21 63q-13 8 -37 8.5t-36 7.5q-15 7 -49.5 15t-51.5 19q-18 0 -41 -0.5t-43 -1.5t-42 -6.5t-38 -16.5q-51 -35 -66 -12 q-4 1 -3.5 25.5t0.5 25.5q-6 13 -26.5 17.5t-24.5 6.5q1 15 -0.5 30.5t-7 28t-18.5 11.5t-31 -21q-23 -25 -42 4q-19 28 -8 58q6 16 22 22q6 -1 26 -1.5t33.5 -4t19.5 -13.5q7 -12 18 -24t21.5 -20.5t20 -15t15.5 -10.5l5 -3q2 12 7.5 30.5t8 34.5t-0.5 32q-3 18 3.5 29 t18 22.5t15.5 24.5q6 14 10.5 35t8 31t15.5 22.5t34 22.5q-6 18 10 36q8 0 24 -1.5t24.5 -1.5t20 4.5t20.5 15.5q-10 23 -31 42.5t-37.5 29.5t-49 27t-43.5 23q0 1 2 8t3 11.5t1.5 10.5t-1 9.5t-4.5 4.5q31 -13 58.5 -14.5t38.5 2.5l12 5q5 28 -9.5 46t-36.5 24t-50 15 t-41 20q-18 -4 -37 0zM613 994q0 -17 8 -42t17 -45t9 -23q-8 1 -39.5 5.5t-52.5 10t-37 16.5q3 11 16 29.5t16 25.5q10 -10 19 -10t14 6t13.5 14.5t16.5 12.5z" />
<glyph unicode="&#xe136;" d="M756 1157q164 92 306 -9l-259 -138l145 -232l251 126q6 -89 -34 -156.5t-117 -110.5q-60 -34 -127 -39.5t-126 16.5l-596 -596q-15 -16 -36.5 -16t-36.5 16l-111 110q-15 15 -15 36.5t15 37.5l600 599q-34 101 5.5 201.5t135.5 154.5z" />
<glyph unicode="&#xe137;" horiz-adv-x="1220" d="M100 1196h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 1096h-200v-100h200v100zM100 796h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 696h-500v-100h500v100zM100 396h1000q41 0 70.5 -29.5t29.5 -70.5v-100q0 -41 -29.5 -70.5t-70.5 -29.5h-1000q-41 0 -70.5 29.5t-29.5 70.5v100q0 41 29.5 70.5t70.5 29.5zM1100 296h-300v-100h300v100z " />
<glyph unicode="&#xe138;" d="M150 1200h900q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM700 500v-300l-200 -200v500l-350 500h900z" />
<glyph unicode="&#xe139;" d="M500 1200h200q41 0 70.5 -29.5t29.5 -70.5v-100h300q41 0 70.5 -29.5t29.5 -70.5v-400h-500v100h-200v-100h-500v400q0 41 29.5 70.5t70.5 29.5h300v100q0 41 29.5 70.5t70.5 29.5zM500 1100v-100h200v100h-200zM1200 400v-200q0 -41 -29.5 -70.5t-70.5 -29.5h-1000 q-41 0 -70.5 29.5t-29.5 70.5v200h1200z" />
<glyph unicode="&#xe140;" d="M50 1200h300q21 0 25 -10.5t-10 -24.5l-94 -94l199 -199q7 -8 7 -18t-7 -18l-106 -106q-8 -7 -18 -7t-18 7l-199 199l-94 -94q-14 -14 -24.5 -10t-10.5 25v300q0 21 14.5 35.5t35.5 14.5zM850 1200h300q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -10.5 -25t-24.5 10l-94 94 l-199 -199q-8 -7 -18 -7t-18 7l-106 106q-7 8 -7 18t7 18l199 199l-94 94q-14 14 -10 24.5t25 10.5zM364 470l106 -106q7 -8 7 -18t-7 -18l-199 -199l94 -94q14 -14 10 -24.5t-25 -10.5h-300q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 10.5 25t24.5 -10l94 -94l199 199 q8 7 18 7t18 -7zM1071 271l94 94q14 14 24.5 10t10.5 -25v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -25 10.5t10 24.5l94 94l-199 199q-7 8 -7 18t7 18l106 106q8 7 18 7t18 -7z" />
<glyph unicode="&#xe141;" d="M596 1192q121 0 231.5 -47.5t190 -127t127 -190t47.5 -231.5t-47.5 -231.5t-127 -190.5t-190 -127t-231.5 -47t-231.5 47t-190.5 127t-127 190.5t-47 231.5t47 231.5t127 190t190.5 127t231.5 47.5zM596 1010q-112 0 -207.5 -55.5t-151 -151t-55.5 -207.5t55.5 -207.5 t151 -151t207.5 -55.5t207.5 55.5t151 151t55.5 207.5t-55.5 207.5t-151 151t-207.5 55.5zM454.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38.5 -16.5t-38.5 16.5t-16 39t16 38.5t38.5 16zM754.5 905q22.5 0 38.5 -16t16 -38.5t-16 -39t-38 -16.5q-14 0 -29 10l-55 -145 q17 -23 17 -51q0 -36 -25.5 -61.5t-61.5 -25.5t-61.5 25.5t-25.5 61.5q0 32 20.5 56.5t51.5 29.5l122 126l1 1q-9 14 -9 28q0 23 16 39t38.5 16zM345.5 709q22.5 0 38.5 -16t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16zM854.5 709q22.5 0 38.5 -16 t16 -38.5t-16 -38.5t-38.5 -16t-38.5 16t-16 38.5t16 38.5t38.5 16z" />
<glyph unicode="&#xe142;" d="M546 173l469 470q91 91 99 192q7 98 -52 175.5t-154 94.5q-22 4 -47 4q-34 0 -66.5 -10t-56.5 -23t-55.5 -38t-48 -41.5t-48.5 -47.5q-376 -375 -391 -390q-30 -27 -45 -41.5t-37.5 -41t-32 -46.5t-16 -47.5t-1.5 -56.5q9 -62 53.5 -95t99.5 -33q74 0 125 51l548 548 q36 36 20 75q-7 16 -21.5 26t-32.5 10q-26 0 -50 -23q-13 -12 -39 -38l-341 -338q-15 -15 -35.5 -15.5t-34.5 13.5t-14 34.5t14 34.5q327 333 361 367q35 35 67.5 51.5t78.5 16.5q14 0 29 -1q44 -8 74.5 -35.5t43.5 -68.5q14 -47 2 -96.5t-47 -84.5q-12 -11 -32 -32 t-79.5 -81t-114.5 -115t-124.5 -123.5t-123 -119.5t-96.5 -89t-57 -45q-56 -27 -120 -27q-70 0 -129 32t-93 89q-48 78 -35 173t81 163l511 511q71 72 111 96q91 55 198 55q80 0 152 -33q78 -36 129.5 -103t66.5 -154q17 -93 -11 -183.5t-94 -156.5l-482 -476 q-15 -15 -36 -16t-37 14t-17.5 34t14.5 35z" />
<glyph unicode="&#xe143;" d="M649 949q48 68 109.5 104t121.5 38.5t118.5 -20t102.5 -64t71 -100.5t27 -123q0 -57 -33.5 -117.5t-94 -124.5t-126.5 -127.5t-150 -152.5t-146 -174q-62 85 -145.5 174t-150 152.5t-126.5 127.5t-93.5 124.5t-33.5 117.5q0 64 28 123t73 100.5t104 64t119 20 t120.5 -38.5t104.5 -104zM896 972q-33 0 -64.5 -19t-56.5 -46t-47.5 -53.5t-43.5 -45.5t-37.5 -19t-36 19t-40 45.5t-43 53.5t-54 46t-65.5 19q-67 0 -122.5 -55.5t-55.5 -132.5q0 -23 13.5 -51t46 -65t57.5 -63t76 -75l22 -22q15 -14 44 -44t50.5 -51t46 -44t41 -35t23 -12 t23.5 12t42.5 36t46 44t52.5 52t44 43q4 4 12 13q43 41 63.5 62t52 55t46 55t26 46t11.5 44q0 79 -53 133.5t-120 54.5z" />
<glyph unicode="&#xe144;" d="M776.5 1214q93.5 0 159.5 -66l141 -141q66 -66 66 -160q0 -42 -28 -95.5t-62 -87.5l-29 -29q-31 53 -77 99l-18 18l95 95l-247 248l-389 -389l212 -212l-105 -106l-19 18l-141 141q-66 66 -66 159t66 159l283 283q65 66 158.5 66zM600 706l105 105q10 -8 19 -17l141 -141 q66 -66 66 -159t-66 -159l-283 -283q-66 -66 -159 -66t-159 66l-141 141q-66 66 -66 159.5t66 159.5l55 55q29 -55 75 -102l18 -17l-95 -95l247 -248l389 389z" />
<glyph unicode="&#xe145;" d="M603 1200q85 0 162 -15t127 -38t79 -48t29 -46v-953q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-41 0 -70.5 29.5t-29.5 70.5v953q0 21 30 46.5t81 48t129 37.5t163 15zM300 1000v-700h600v700h-600zM600 254q-43 0 -73.5 -30.5t-30.5 -73.5t30.5 -73.5t73.5 -30.5t73.5 30.5 t30.5 73.5t-30.5 73.5t-73.5 30.5z" />
<glyph unicode="&#xe146;" d="M902 1185l283 -282q15 -15 15 -36t-14.5 -35.5t-35.5 -14.5t-35 15l-36 35l-279 -267v-300l-212 210l-308 -307l-280 -203l203 280l307 308l-210 212h300l267 279l-35 36q-15 14 -15 35t14.5 35.5t35.5 14.5t35 -15z" />
<glyph unicode="&#xe148;" d="M700 1248v-78q38 -5 72.5 -14.5t75.5 -31.5t71 -53.5t52 -84t24 -118.5h-159q-4 36 -10.5 59t-21 45t-40 35.5t-64.5 20.5v-307l64 -13q34 -7 64 -16.5t70 -32t67.5 -52.5t47.5 -80t20 -112q0 -139 -89 -224t-244 -97v-77h-100v79q-150 16 -237 103q-40 40 -52.5 93.5 t-15.5 139.5h139q5 -77 48.5 -126t117.5 -65v335l-27 8q-46 14 -79 26.5t-72 36t-63 52t-40 72.5t-16 98q0 70 25 126t67.5 92t94.5 57t110 27v77h100zM600 754v274q-29 -4 -50 -11t-42 -21.5t-31.5 -41.5t-10.5 -65q0 -29 7 -50.5t16.5 -34t28.5 -22.5t31.5 -14t37.5 -10 q9 -3 13 -4zM700 547v-310q22 2 42.5 6.5t45 15.5t41.5 27t29 42t12 59.5t-12.5 59.5t-38 44.5t-53 31t-66.5 24.5z" />
<glyph unicode="&#xe149;" d="M561 1197q84 0 160.5 -40t123.5 -109.5t47 -147.5h-153q0 40 -19.5 71.5t-49.5 48.5t-59.5 26t-55.5 9q-37 0 -79 -14.5t-62 -35.5q-41 -44 -41 -101q0 -26 13.5 -63t26.5 -61t37 -66q6 -9 9 -14h241v-100h-197q8 -50 -2.5 -115t-31.5 -95q-45 -62 -99 -112 q34 10 83 17.5t71 7.5q32 1 102 -16t104 -17q83 0 136 30l50 -147q-31 -19 -58 -30.5t-55 -15.5t-42 -4.5t-46 -0.5q-23 0 -76 17t-111 32.5t-96 11.5q-39 -3 -82 -16t-67 -25l-23 -11l-55 145q4 3 16 11t15.5 10.5t13 9t15.5 12t14.5 14t17.5 18.5q48 55 54 126.5 t-30 142.5h-221v100h166q-23 47 -44 104q-7 20 -12 41.5t-6 55.5t6 66.5t29.5 70.5t58.5 71q97 88 263 88z" />
<glyph unicode="&#xe150;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM935 1184l230 -249q14 -14 10 -24.5t-25 -10.5h-150v-900h-200v900h-150q-21 0 -25 10.5t10 24.5l230 249q14 15 35 15t35 -15z" />
<glyph unicode="&#xe151;" d="M1000 700h-100v100h-100v-100h-100v500h300v-500zM400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM801 1100v-200h100v200h-100zM1000 350l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150z " />
<glyph unicode="&#xe152;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 1050l-200 -250h200v-100h-300v150l200 250h-200v100h300v-150zM1000 0h-100v100h-100v-100h-100v500h300v-500zM801 400v-200h100v200h-100z " />
<glyph unicode="&#xe153;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1000 700h-100v400h-100v100h200v-500zM1100 0h-100v100h-200v400h300v-500zM901 400v-200h100v200h-100z" />
<glyph unicode="&#xe154;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1100 700h-100v100h-200v400h300v-500zM901 1100v-200h100v200h-100zM1000 0h-100v400h-100v100h200v-500z" />
<glyph unicode="&#xe155;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM900 1000h-200v200h200v-200zM1000 700h-300v200h300v-200zM1100 400h-400v200h400v-200zM1200 100h-500v200h500v-200z" />
<glyph unicode="&#xe156;" d="M400 300h150q21 0 25 -11t-10 -25l-230 -250q-14 -15 -35 -15t-35 15l-230 250q-14 14 -10 25t25 11h150v900h200v-900zM1200 1000h-500v200h500v-200zM1100 700h-400v200h400v-200zM1000 400h-300v200h300v-200zM900 100h-200v200h200v-200z" />
<glyph unicode="&#xe157;" d="M350 1100h400q162 0 256 -93.5t94 -256.5v-400q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5z" />
<glyph unicode="&#xe158;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-163 0 -256.5 92.5t-93.5 257.5v400q0 163 94 256.5t256 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM440 770l253 -190q17 -12 17 -30t-17 -30l-253 -190q-16 -12 -28 -6.5t-12 26.5v400q0 21 12 26.5t28 -6.5z" />
<glyph unicode="&#xe159;" d="M350 1100h400q163 0 256.5 -94t93.5 -256v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 163 92.5 256.5t257.5 93.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM350 700h400q21 0 26.5 -12t-6.5 -28l-190 -253q-12 -17 -30 -17t-30 17l-190 253q-12 16 -6.5 28t26.5 12z" />
<glyph unicode="&#xe160;" d="M350 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -163 -92.5 -256.5t-257.5 -93.5h-400q-163 0 -256.5 94t-93.5 256v400q0 165 92.5 257.5t257.5 92.5zM800 900h-500q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5 v500q0 41 -29.5 70.5t-70.5 29.5zM580 693l190 -253q12 -16 6.5 -28t-26.5 -12h-400q-21 0 -26.5 12t6.5 28l190 253q12 17 30 17t30 -17z" />
<glyph unicode="&#xe161;" d="M550 1100h400q165 0 257.5 -92.5t92.5 -257.5v-400q0 -165 -92.5 -257.5t-257.5 -92.5h-400q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h450q41 0 70.5 29.5t29.5 70.5v500q0 41 -29.5 70.5t-70.5 29.5h-450q-21 0 -35.5 14.5t-14.5 35.5v100 q0 21 14.5 35.5t35.5 14.5zM338 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe162;" d="M793 1182l9 -9q8 -10 5 -27q-3 -11 -79 -225.5t-78 -221.5l300 1q24 0 32.5 -17.5t-5.5 -35.5q-1 0 -133.5 -155t-267 -312.5t-138.5 -162.5q-12 -15 -26 -15h-9l-9 8q-9 11 -4 32q2 9 42 123.5t79 224.5l39 110h-302q-23 0 -31 19q-10 21 6 41q75 86 209.5 237.5 t228 257t98.5 111.5q9 16 25 16h9z" />
<glyph unicode="&#xe163;" d="M350 1100h400q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-450q-41 0 -70.5 -29.5t-29.5 -70.5v-500q0 -41 29.5 -70.5t70.5 -29.5h450q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400 q0 165 92.5 257.5t257.5 92.5zM938 867l324 -284q16 -14 16 -33t-16 -33l-324 -284q-16 -14 -27 -9t-11 26v150h-250q-21 0 -35.5 14.5t-14.5 35.5v200q0 21 14.5 35.5t35.5 14.5h250v150q0 21 11 26t27 -9z" />
<glyph unicode="&#xe164;" d="M750 1200h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -10.5 -25t-24.5 10l-109 109l-312 -312q-15 -15 -35.5 -15t-35.5 15l-141 141q-15 15 -15 35.5t15 35.5l312 312l-109 109q-14 14 -10 24.5t25 10.5zM456 900h-156q-41 0 -70.5 -29.5t-29.5 -70.5v-500 q0 -41 29.5 -70.5t70.5 -29.5h500q41 0 70.5 29.5t29.5 70.5v148l200 200v-298q0 -165 -93.5 -257.5t-256.5 -92.5h-400q-165 0 -257.5 92.5t-92.5 257.5v400q0 165 92.5 257.5t257.5 92.5h300z" />
<glyph unicode="&#xe165;" d="M600 1186q119 0 227.5 -46.5t187 -125t125 -187t46.5 -227.5t-46.5 -227.5t-125 -187t-187 -125t-227.5 -46.5t-227.5 46.5t-187 125t-125 187t-46.5 227.5t46.5 227.5t125 187t187 125t227.5 46.5zM600 1022q-115 0 -212 -56.5t-153.5 -153.5t-56.5 -212t56.5 -212 t153.5 -153.5t212 -56.5t212 56.5t153.5 153.5t56.5 212t-56.5 212t-153.5 153.5t-212 56.5zM600 794q80 0 137 -57t57 -137t-57 -137t-137 -57t-137 57t-57 137t57 137t137 57z" />
<glyph unicode="&#xe166;" d="M450 1200h200q21 0 35.5 -14.5t14.5 -35.5v-350h245q20 0 25 -11t-9 -26l-383 -426q-14 -15 -33.5 -15t-32.5 15l-379 426q-13 15 -8.5 26t25.5 11h250v350q0 21 14.5 35.5t35.5 14.5zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe167;" d="M583 1182l378 -435q14 -15 9 -31t-26 -16h-244v-250q0 -20 -17 -35t-39 -15h-200q-20 0 -32 14.5t-12 35.5v250h-250q-20 0 -25.5 16.5t8.5 31.5l383 431q14 16 33.5 17t33.5 -14zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5z M900 200v-50h100v50h-100z" />
<glyph unicode="&#xe168;" d="M396 723l369 369q7 7 17.5 7t17.5 -7l139 -139q7 -8 7 -18.5t-7 -17.5l-525 -525q-7 -8 -17.5 -8t-17.5 8l-292 291q-7 8 -7 18t7 18l139 139q8 7 18.5 7t17.5 -7zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50 h-100z" />
<glyph unicode="&#xe169;" d="M135 1023l142 142q14 14 35 14t35 -14l77 -77l-212 -212l-77 76q-14 15 -14 36t14 35zM655 855l210 210q14 14 24.5 10t10.5 -25l-2 -599q-1 -20 -15.5 -35t-35.5 -15l-597 -1q-21 0 -25 10.5t10 24.5l208 208l-154 155l212 212zM50 300h1000q21 0 35.5 -14.5t14.5 -35.5 v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe170;" d="M350 1200l599 -2q20 -1 35 -15.5t15 -35.5l1 -597q0 -21 -10.5 -25t-24.5 10l-208 208l-155 -154l-212 212l155 154l-210 210q-14 14 -10 24.5t25 10.5zM524 512l-76 -77q-15 -14 -36 -14t-35 14l-142 142q-14 14 -14 35t14 35l77 77zM50 300h1000q21 0 35.5 -14.5 t14.5 -35.5v-250h-1100v250q0 21 14.5 35.5t35.5 14.5zM900 200v-50h100v50h-100z" />
<glyph unicode="&#xe171;" d="M1200 103l-483 276l-314 -399v423h-399l1196 796v-1096zM483 424v-230l683 953z" />
<glyph unicode="&#xe172;" d="M1100 1000v-850q0 -21 -14.5 -35.5t-35.5 -14.5h-150v400h-700v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200z" />
<glyph unicode="&#xe173;" d="M1100 1000l-2 -149l-299 -299l-95 95q-9 9 -21.5 9t-21.5 -9l-149 -147h-312v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1132 638l106 -106q7 -7 7 -17.5t-7 -17.5l-420 -421q-8 -7 -18 -7 t-18 7l-202 203q-8 7 -8 17.5t8 17.5l106 106q7 8 17.5 8t17.5 -8l79 -79l297 297q7 7 17.5 7t17.5 -7z" />
<glyph unicode="&#xe174;" d="M1100 1000v-269l-103 -103l-134 134q-15 15 -33.5 16.5t-34.5 -12.5l-266 -266h-329v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM1202 572l70 -70q15 -15 15 -35.5t-15 -35.5l-131 -131 l131 -131q15 -15 15 -35.5t-15 -35.5l-70 -70q-15 -15 -35.5 -15t-35.5 15l-131 131l-131 -131q-15 -15 -35.5 -15t-35.5 15l-70 70q-15 15 -15 35.5t15 35.5l131 131l-131 131q-15 15 -15 35.5t15 35.5l70 70q15 15 35.5 15t35.5 -15l131 -131l131 131q15 15 35.5 15 t35.5 -15z" />
<glyph unicode="&#xe175;" d="M1100 1000v-300h-350q-21 0 -35.5 -14.5t-14.5 -35.5v-150h-500v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM850 600h100q21 0 35.5 -14.5t14.5 -35.5v-250h150q21 0 25 -10.5t-10 -24.5 l-230 -230q-14 -14 -35 -14t-35 14l-230 230q-14 14 -10 24.5t25 10.5h150v250q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe176;" d="M1100 1000v-400l-165 165q-14 15 -35 15t-35 -15l-263 -265h-402v-400h-150q-21 0 -35.5 14.5t-14.5 35.5v1000q0 20 14.5 35t35.5 15h250v-300h500v300h100zM700 1000h-100v200h100v-200zM935 565l230 -229q14 -15 10 -25.5t-25 -10.5h-150v-250q0 -20 -14.5 -35 t-35.5 -15h-100q-21 0 -35.5 15t-14.5 35v250h-150q-21 0 -25 10.5t10 25.5l230 229q14 15 35 15t35 -15z" />
<glyph unicode="&#xe177;" d="M50 1100h1100q21 0 35.5 -14.5t14.5 -35.5v-150h-1200v150q0 21 14.5 35.5t35.5 14.5zM1200 800v-550q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v550h1200zM100 500v-200h400v200h-400z" />
<glyph unicode="&#xe178;" d="M935 1165l248 -230q14 -14 14 -35t-14 -35l-248 -230q-14 -14 -24.5 -10t-10.5 25v150h-400v200h400v150q0 21 10.5 25t24.5 -10zM200 800h-50q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v-200zM400 800h-100v200h100v-200zM18 435l247 230 q14 14 24.5 10t10.5 -25v-150h400v-200h-400v-150q0 -21 -10.5 -25t-24.5 10l-247 230q-15 14 -15 35t15 35zM900 300h-100v200h100v-200zM1000 500h51q20 0 34.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-34.5 -14.5h-51v200z" />
<glyph unicode="&#xe179;" d="M862 1073l276 116q25 18 43.5 8t18.5 -41v-1106q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v397q-4 1 -11 5t-24 17.5t-30 29t-24 42t-11 56.5v359q0 31 18.5 65t43.5 52zM550 1200q22 0 34.5 -12.5t14.5 -24.5l1 -13v-450q0 -28 -10.5 -59.5 t-25 -56t-29 -45t-25.5 -31.5l-10 -11v-447q0 -21 -14.5 -35.5t-35.5 -14.5h-200q-21 0 -35.5 14.5t-14.5 35.5v447q-4 4 -11 11.5t-24 30.5t-30 46t-24 55t-11 60v450q0 2 0.5 5.5t4 12t8.5 15t14.5 12t22.5 5.5q20 0 32.5 -12.5t14.5 -24.5l3 -13v-350h100v350v5.5t2.5 12 t7 15t15 12t25.5 5.5q23 0 35.5 -12.5t13.5 -24.5l1 -13v-350h100v350q0 2 0.5 5.5t3 12t7 15t15 12t24.5 5.5z" />
<glyph unicode="&#xe180;" d="M1200 1100v-56q-4 0 -11 -0.5t-24 -3t-30 -7.5t-24 -15t-11 -24v-888q0 -22 25 -34.5t50 -13.5l25 -2v-56h-400v56q75 0 87.5 6.5t12.5 43.5v394h-500v-394q0 -37 12.5 -43.5t87.5 -6.5v-56h-400v56q4 0 11 0.5t24 3t30 7.5t24 15t11 24v888q0 22 -25 34.5t-50 13.5 l-25 2v56h400v-56q-75 0 -87.5 -6.5t-12.5 -43.5v-394h500v394q0 37 -12.5 43.5t-87.5 6.5v56h400z" />
<glyph unicode="&#xe181;" d="M675 1000h375q21 0 35.5 -14.5t14.5 -35.5v-150h-105l-295 -98v98l-200 200h-400l100 100h375zM100 900h300q41 0 70.5 -29.5t29.5 -70.5v-500q0 -41 -29.5 -70.5t-70.5 -29.5h-300q-41 0 -70.5 29.5t-29.5 70.5v500q0 41 29.5 70.5t70.5 29.5zM100 800v-200h300v200 h-300zM1100 535l-400 -133v163l400 133v-163zM100 500v-200h300v200h-300zM1100 398v-248q0 -21 -14.5 -35.5t-35.5 -14.5h-375l-100 -100h-375l-100 100h400l200 200h105z" />
<glyph unicode="&#xe182;" d="M17 1007l162 162q17 17 40 14t37 -22l139 -194q14 -20 11 -44.5t-20 -41.5l-119 -118q102 -142 228 -268t267 -227l119 118q17 17 42.5 19t44.5 -12l192 -136q19 -14 22.5 -37.5t-13.5 -40.5l-163 -162q-3 -1 -9.5 -1t-29.5 2t-47.5 6t-62.5 14.5t-77.5 26.5t-90 42.5 t-101.5 60t-111 83t-119 108.5q-74 74 -133.5 150.5t-94.5 138.5t-60 119.5t-34.5 100t-15 74.5t-4.5 48z" />
<glyph unicode="&#xe183;" d="M600 1100q92 0 175 -10.5t141.5 -27t108.5 -36.5t81.5 -40t53.5 -37t31 -27l9 -10v-200q0 -21 -14.5 -33t-34.5 -9l-202 34q-20 3 -34.5 20t-14.5 38v146q-141 24 -300 24t-300 -24v-146q0 -21 -14.5 -38t-34.5 -20l-202 -34q-20 -3 -34.5 9t-14.5 33v200q3 4 9.5 10.5 t31 26t54 37.5t80.5 39.5t109 37.5t141 26.5t175 10.5zM600 795q56 0 97 -9.5t60 -23.5t30 -28t12 -24l1 -10v-50l365 -303q14 -15 24.5 -40t10.5 -45v-212q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v212q0 20 10.5 45t24.5 40l365 303v50 q0 4 1 10.5t12 23t30 29t60 22.5t97 10z" />
<glyph unicode="&#xe184;" d="M1100 700l-200 -200h-600l-200 200v500h200v-200h200v200h200v-200h200v200h200v-500zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5 t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe185;" d="M700 1100h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-1000h300v1000q0 41 -29.5 70.5t-70.5 29.5zM1100 800h-100q-41 0 -70.5 -29.5t-29.5 -70.5v-700h300v700q0 41 -29.5 70.5t-70.5 29.5zM400 0h-300v400q0 41 29.5 70.5t70.5 29.5h100q41 0 70.5 -29.5t29.5 -70.5v-400z " />
<glyph unicode="&#xe186;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe187;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 300h-100v200h-100v-200h-100v500h100v-200h100v200h100v-500zM900 700v-300l-100 -100h-200v500h200z M700 700v-300h100v300h-100z" />
<glyph unicode="&#xe188;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-300h200v-100h-300v500h300v-100zM900 700h-200v-300h200v-100h-300v500h300v-100z" />
<glyph unicode="&#xe189;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 400l-300 150l300 150v-300zM900 550l-300 -150v300z" />
<glyph unicode="&#xe190;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM900 300h-700v500h700v-500zM800 700h-130q-38 0 -66.5 -43t-28.5 -108t27 -107t68 -42h130v300zM300 700v-300 h130q41 0 68 42t27 107t-28.5 108t-66.5 43h-130z" />
<glyph unicode="&#xe191;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 700h-200v-100h200v-300h-300v100h200v100h-200v300h300v-100zM900 300h-100v400h-100v100h200v-500z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe192;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM300 700h200v-400h-300v500h100v-100zM900 300h-100v400h-100v100h200v-500zM300 600v-200h100v200h-100z M700 300h-100v100h100v-100z" />
<glyph unicode="&#xe193;" d="M200 1100h700q124 0 212 -88t88 -212v-500q0 -124 -88 -212t-212 -88h-700q-124 0 -212 88t-88 212v500q0 124 88 212t212 88zM100 900v-700h900v700h-900zM500 500l-199 -200h-100v50l199 200v150h-200v100h300v-300zM900 300h-100v400h-100v100h200v-500zM701 300h-100 v100h100v-100z" />
<glyph unicode="&#xe194;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700h-300v-200h300v-100h-300l-100 100v200l100 100h300v-100z" />
<glyph unicode="&#xe195;" d="M600 1191q120 0 229.5 -47t188.5 -126t126 -188.5t47 -229.5t-47 -229.5t-126 -188.5t-188.5 -126t-229.5 -47t-229.5 47t-188.5 126t-126 188.5t-47 229.5t47 229.5t126 188.5t188.5 126t229.5 47zM600 1021q-114 0 -211 -56.5t-153.5 -153.5t-56.5 -211t56.5 -211 t153.5 -153.5t211 -56.5t211 56.5t153.5 153.5t56.5 211t-56.5 211t-153.5 153.5t-211 56.5zM800 700v-100l-50 -50l100 -100v-50h-100l-100 100h-150v-100h-100v400h300zM500 700v-100h200v100h-200z" />
<glyph unicode="&#xe197;" d="M503 1089q110 0 200.5 -59.5t134.5 -156.5q44 14 90 14q120 0 205 -86.5t85 -207t-85 -207t-205 -86.5h-128v250q0 21 -14.5 35.5t-35.5 14.5h-300q-21 0 -35.5 -14.5t-14.5 -35.5v-250h-222q-80 0 -136 57.5t-56 136.5q0 69 43 122.5t108 67.5q-2 19 -2 37q0 100 49 185 t134 134t185 49zM525 500h150q10 0 17.5 -7.5t7.5 -17.5v-275h137q21 0 26 -11.5t-8 -27.5l-223 -244q-13 -16 -32 -16t-32 16l-223 244q-13 16 -8 27.5t26 11.5h137v275q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe198;" d="M502 1089q110 0 201 -59.5t135 -156.5q43 15 89 15q121 0 206 -86.5t86 -206.5q0 -99 -60 -181t-150 -110l-378 360q-13 16 -31.5 16t-31.5 -16l-381 -365h-9q-79 0 -135.5 57.5t-56.5 136.5q0 69 43 122.5t108 67.5q-2 19 -2 38q0 100 49 184.5t133.5 134t184.5 49.5z M632 467l223 -228q13 -16 8 -27.5t-26 -11.5h-137v-275q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v275h-137q-21 0 -26 11.5t8 27.5q199 204 223 228q19 19 31.5 19t32.5 -19z" />
<glyph unicode="&#xe199;" d="M700 100v100h400l-270 300h170l-270 300h170l-300 333l-300 -333h170l-270 -300h170l-270 -300h400v-100h-50q-21 0 -35.5 -14.5t-14.5 -35.5v-50h400v50q0 21 -14.5 35.5t-35.5 14.5h-50z" />
<glyph unicode="&#xe200;" d="M600 1179q94 0 167.5 -56.5t99.5 -145.5q89 -6 150.5 -71.5t61.5 -155.5q0 -61 -29.5 -112.5t-79.5 -82.5q9 -29 9 -55q0 -74 -52.5 -126.5t-126.5 -52.5q-55 0 -100 30v-251q21 0 35.5 -14.5t14.5 -35.5v-50h-300v50q0 21 14.5 35.5t35.5 14.5v251q-45 -30 -100 -30 q-74 0 -126.5 52.5t-52.5 126.5q0 18 4 38q-47 21 -75.5 65t-28.5 97q0 74 52.5 126.5t126.5 52.5q5 0 23 -2q0 2 -1 10t-1 13q0 116 81.5 197.5t197.5 81.5z" />
<glyph unicode="&#xe201;" d="M1010 1010q111 -111 150.5 -260.5t0 -299t-150.5 -260.5q-83 -83 -191.5 -126.5t-218.5 -43.5t-218.5 43.5t-191.5 126.5q-111 111 -150.5 260.5t0 299t150.5 260.5q83 83 191.5 126.5t218.5 43.5t218.5 -43.5t191.5 -126.5zM476 1065q-4 0 -8 -1q-121 -34 -209.5 -122.5 t-122.5 -209.5q-4 -12 2.5 -23t18.5 -14l36 -9q3 -1 7 -1q23 0 29 22q27 96 98 166q70 71 166 98q11 3 17.5 13.5t3.5 22.5l-9 35q-3 13 -14 19q-7 4 -15 4zM512 920q-4 0 -9 -2q-80 -24 -138.5 -82.5t-82.5 -138.5q-4 -13 2 -24t19 -14l34 -9q4 -1 8 -1q22 0 28 21 q18 58 58.5 98.5t97.5 58.5q12 3 18 13.5t3 21.5l-9 35q-3 12 -14 19q-7 4 -15 4zM719.5 719.5q-49.5 49.5 -119.5 49.5t-119.5 -49.5t-49.5 -119.5t49.5 -119.5t119.5 -49.5t119.5 49.5t49.5 119.5t-49.5 119.5zM855 551q-22 0 -28 -21q-18 -58 -58.5 -98.5t-98.5 -57.5 q-11 -4 -17 -14.5t-3 -21.5l9 -35q3 -12 14 -19q7 -4 15 -4q4 0 9 2q80 24 138.5 82.5t82.5 138.5q4 13 -2.5 24t-18.5 14l-34 9q-4 1 -8 1zM1000 515q-23 0 -29 -22q-27 -96 -98 -166q-70 -71 -166 -98q-11 -3 -17.5 -13.5t-3.5 -22.5l9 -35q3 -13 14 -19q7 -4 15 -4 q4 0 8 1q121 34 209.5 122.5t122.5 209.5q4 12 -2.5 23t-18.5 14l-36 9q-3 1 -7 1z" />
<glyph unicode="&#xe202;" d="M700 800h300v-380h-180v200h-340v-200h-380v755q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM700 300h162l-212 -212l-212 212h162v200h100v-200zM520 0h-395q-10 0 -17.5 7.5t-7.5 17.5v395zM1000 220v-195q0 -10 -7.5 -17.5t-17.5 -7.5h-195z" />
<glyph unicode="&#xe203;" d="M700 800h300v-520l-350 350l-550 -550v1095q0 10 7.5 17.5t17.5 7.5h575v-400zM1000 900h-200v200zM862 200h-162v-200h-100v200h-162l212 212zM480 0h-355q-10 0 -17.5 7.5t-7.5 17.5v55h380v-80zM1000 80v-55q0 -10 -7.5 -17.5t-17.5 -7.5h-155v80h180z" />
<glyph unicode="&#xe204;" d="M1162 800h-162v-200h100l100 -100h-300v300h-162l212 212zM200 800h200q27 0 40 -2t29.5 -10.5t23.5 -30t7 -57.5h300v-100h-600l-200 -350v450h100q0 36 7 57.5t23.5 30t29.5 10.5t40 2zM800 400h240l-240 -400h-800l300 500h500v-100z" />
<glyph unicode="&#xe205;" d="M650 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM1000 850v150q41 0 70.5 -29.5t29.5 -70.5v-800 q0 -41 -29.5 -70.5t-70.5 -29.5h-600q-1 0 -20 4l246 246l-326 326v324q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM412 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe206;" d="M450 1100h100q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-300q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h50v50q0 21 14.5 35.5t35.5 14.5zM800 850v150q41 0 70.5 -29.5t29.5 -70.5v-500 h-200v-300h200q0 -36 -7 -57.5t-23.5 -30t-29.5 -10.5t-40 -2h-600q-41 0 -70.5 29.5t-29.5 70.5v800q0 41 29.5 70.5t70.5 29.5v-150q0 -62 44 -106t106 -44h300q62 0 106 44t44 106zM1212 250l-212 -212v162h-200v100h200v162z" />
<glyph unicode="&#xe209;" d="M658 1197l637 -1104q23 -38 7 -65.5t-60 -27.5h-1276q-44 0 -60 27.5t7 65.5l637 1104q22 39 54 39t54 -39zM704 800h-208q-20 0 -32 -14.5t-8 -34.5l58 -302q4 -20 21.5 -34.5t37.5 -14.5h54q20 0 37.5 14.5t21.5 34.5l58 302q4 20 -8 34.5t-32 14.5zM500 300v-100h200 v100h-200z" />
<glyph unicode="&#xe210;" d="M425 1100h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM825 800h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM25 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5zM425 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 500h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5 v150q0 10 7.5 17.5t17.5 7.5zM25 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM425 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5 t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM825 200h250q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-250q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe211;" d="M700 1200h100v-200h-100v-100h350q62 0 86.5 -39.5t-3.5 -94.5l-66 -132q-41 -83 -81 -134h-772q-40 51 -81 134l-66 132q-28 55 -3.5 94.5t86.5 39.5h350v100h-100v200h100v100h200v-100zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-12l137 -100 h-950l138 100h-13q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe212;" d="M600 1300q40 0 68.5 -29.5t28.5 -70.5h-194q0 41 28.5 70.5t68.5 29.5zM443 1100h314q18 -37 18 -75q0 -8 -3 -25h328q41 0 44.5 -16.5t-30.5 -38.5l-175 -145h-678l-178 145q-34 22 -29 38.5t46 16.5h328q-3 17 -3 25q0 38 18 75zM250 700h700q21 0 35.5 -14.5 t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-150v-200l275 -200h-950l275 200v200h-150q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe213;" d="M600 1181q75 0 128 -53t53 -128t-53 -128t-128 -53t-128 53t-53 128t53 128t128 53zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13 l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe214;" d="M600 1300q47 0 92.5 -53.5t71 -123t25.5 -123.5q0 -78 -55.5 -133.5t-133.5 -55.5t-133.5 55.5t-55.5 133.5q0 62 34 143l144 -143l111 111l-163 163q34 26 63 26zM602 798h46q34 0 55.5 -28.5t21.5 -86.5q0 -76 39 -183h-324q39 107 39 183q0 58 21.5 86.5t56.5 28.5h45 zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe215;" d="M600 1200l300 -161v-139h-300q0 -57 18.5 -108t50 -91.5t63 -72t70 -67.5t57.5 -61h-530q-60 83 -90.5 177.5t-30.5 178.5t33 164.5t87.5 139.5t126 96.5t145.5 41.5v-98zM250 400h700q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-13l138 -100h-950l137 100 h-12q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5zM50 100h1100q21 0 35.5 -14.5t14.5 -35.5v-50h-1200v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe216;" d="M600 1300q41 0 70.5 -29.5t29.5 -70.5v-78q46 -26 73 -72t27 -100v-50h-400v50q0 54 27 100t73 72v78q0 41 29.5 70.5t70.5 29.5zM400 800h400q54 0 100 -27t72 -73h-172v-100h200v-100h-200v-100h200v-100h-200v-100h200q0 -83 -58.5 -141.5t-141.5 -58.5h-400 q-83 0 -141.5 58.5t-58.5 141.5v400q0 83 58.5 141.5t141.5 58.5z" />
<glyph unicode="&#xe218;" d="M150 1100h900q21 0 35.5 -14.5t14.5 -35.5v-500q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v500q0 21 14.5 35.5t35.5 14.5zM125 400h950q10 0 17.5 -7.5t7.5 -17.5v-50q0 -10 -7.5 -17.5t-17.5 -7.5h-283l224 -224q13 -13 13 -31.5t-13 -32 t-31.5 -13.5t-31.5 13l-88 88h-524l-87 -88q-13 -13 -32 -13t-32 13.5t-13 32t13 31.5l224 224h-289q-10 0 -17.5 7.5t-7.5 17.5v50q0 10 7.5 17.5t17.5 7.5zM541 300l-100 -100h324l-100 100h-124z" />
<glyph unicode="&#xe219;" d="M200 1100h800q83 0 141.5 -58.5t58.5 -141.5v-200h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100q0 41 -29.5 70.5t-70.5 29.5h-250q-41 0 -70.5 -29.5t-29.5 -70.5h-100v200q0 83 58.5 141.5t141.5 58.5zM100 600h1000q41 0 70.5 -29.5 t29.5 -70.5v-300h-1200v300q0 41 29.5 70.5t70.5 29.5zM300 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200zM1100 100v-50q0 -21 -14.5 -35.5t-35.5 -14.5h-100q-21 0 -35.5 14.5t-14.5 35.5v50h200z" />
<glyph unicode="&#xe221;" d="M480 1165l682 -683q31 -31 31 -75.5t-31 -75.5l-131 -131h-481l-517 518q-32 31 -32 75.5t32 75.5l295 296q31 31 75.5 31t76.5 -31zM108 794l342 -342l303 304l-341 341zM250 100h800q21 0 35.5 -14.5t14.5 -35.5v-50h-900v50q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe223;" d="M1057 647l-189 506q-8 19 -27.5 33t-40.5 14h-400q-21 0 -40.5 -14t-27.5 -33l-189 -506q-8 -19 1.5 -33t30.5 -14h625v-150q0 -21 14.5 -35.5t35.5 -14.5t35.5 14.5t14.5 35.5v150h125q21 0 30.5 14t1.5 33zM897 0h-595v50q0 21 14.5 35.5t35.5 14.5h50v50 q0 21 14.5 35.5t35.5 14.5h48v300h200v-300h47q21 0 35.5 -14.5t14.5 -35.5v-50h50q21 0 35.5 -14.5t14.5 -35.5v-50z" />
<glyph unicode="&#xe224;" d="M900 800h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-375v591l-300 300v84q0 10 7.5 17.5t17.5 7.5h375v-400zM1200 900h-200v200zM400 600h300v-575q0 -10 -7.5 -17.5t-17.5 -7.5h-650q-10 0 -17.5 7.5t-7.5 17.5v950q0 10 7.5 17.5t17.5 7.5h375v-400zM700 700h-200v200z " />
<glyph unicode="&#xe225;" d="M484 1095h195q75 0 146 -32.5t124 -86t89.5 -122.5t48.5 -142q18 -14 35 -20q31 -10 64.5 6.5t43.5 48.5q10 34 -15 71q-19 27 -9 43q5 8 12.5 11t19 -1t23.5 -16q41 -44 39 -105q-3 -63 -46 -106.5t-104 -43.5h-62q-7 -55 -35 -117t-56 -100l-39 -234q-3 -20 -20 -34.5 t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l12 70q-49 -14 -91 -14h-195q-24 0 -65 8l-11 -64q-3 -20 -20 -34.5t-38 -14.5h-100q-21 0 -33 14.5t-9 34.5l26 157q-84 74 -128 175l-159 53q-19 7 -33 26t-14 40v50q0 21 14.5 35.5t35.5 14.5h124q11 87 56 166l-111 95 q-16 14 -12.5 23.5t24.5 9.5h203q116 101 250 101zM675 1000h-250q-10 0 -17.5 -7.5t-7.5 -17.5v-50q0 -10 7.5 -17.5t17.5 -7.5h250q10 0 17.5 7.5t7.5 17.5v50q0 10 -7.5 17.5t-17.5 7.5z" />
<glyph unicode="&#xe226;" d="M641 900l423 247q19 8 42 2.5t37 -21.5l32 -38q14 -15 12.5 -36t-17.5 -34l-139 -120h-390zM50 1100h106q67 0 103 -17t66 -71l102 -212h823q21 0 35.5 -14.5t14.5 -35.5v-50q0 -21 -14 -40t-33 -26l-737 -132q-23 -4 -40 6t-26 25q-42 67 -100 67h-300q-62 0 -106 44 t-44 106v200q0 62 44 106t106 44zM173 928h-80q-19 0 -28 -14t-9 -35v-56q0 -51 42 -51h134q16 0 21.5 8t5.5 24q0 11 -16 45t-27 51q-18 28 -43 28zM550 727q-32 0 -54.5 -22.5t-22.5 -54.5t22.5 -54.5t54.5 -22.5t54.5 22.5t22.5 54.5t-22.5 54.5t-54.5 22.5zM130 389 l152 130q18 19 34 24t31 -3.5t24.5 -17.5t25.5 -28q28 -35 50.5 -51t48.5 -13l63 5l48 -179q13 -61 -3.5 -97.5t-67.5 -79.5l-80 -69q-47 -40 -109 -35.5t-103 51.5l-130 151q-40 47 -35.5 109.5t51.5 102.5zM380 377l-102 -88q-31 -27 2 -65l37 -43q13 -15 27.5 -19.5 t31.5 6.5l61 53q19 16 14 49q-2 20 -12 56t-17 45q-11 12 -19 14t-23 -8z" />
<glyph unicode="&#xe227;" d="M625 1200h150q10 0 17.5 -7.5t7.5 -17.5v-109q79 -33 131 -87.5t53 -128.5q1 -46 -15 -84.5t-39 -61t-46 -38t-39 -21.5l-17 -6q6 0 15 -1.5t35 -9t50 -17.5t53 -30t50 -45t35.5 -64t14.5 -84q0 -59 -11.5 -105.5t-28.5 -76.5t-44 -51t-49.5 -31.5t-54.5 -16t-49.5 -6.5 t-43.5 -1v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-100v-75q0 -10 -7.5 -17.5t-17.5 -7.5h-150q-10 0 -17.5 7.5t-7.5 17.5v75h-175q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5h75v600h-75q-10 0 -17.5 7.5t-7.5 17.5v150 q0 10 7.5 17.5t17.5 7.5h175v75q0 10 7.5 17.5t17.5 7.5h150q10 0 17.5 -7.5t7.5 -17.5v-75h100v75q0 10 7.5 17.5t17.5 7.5zM400 900v-200h263q28 0 48.5 10.5t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-263zM400 500v-200h363q28 0 48.5 10.5 t30 25t15 29t5.5 25.5l1 10q0 4 -0.5 11t-6 24t-15 30t-30 24t-48.5 11h-363z" />
<glyph unicode="&#xe230;" d="M212 1198h780q86 0 147 -61t61 -147v-416q0 -51 -18 -142.5t-36 -157.5l-18 -66q-29 -87 -93.5 -146.5t-146.5 -59.5h-572q-82 0 -147 59t-93 147q-8 28 -20 73t-32 143.5t-20 149.5v416q0 86 61 147t147 61zM600 1045q-70 0 -132.5 -11.5t-105.5 -30.5t-78.5 -41.5 t-57 -45t-36 -41t-20.5 -30.5l-6 -12l156 -243h560l156 243q-2 5 -6 12.5t-20 29.5t-36.5 42t-57 44.5t-79 42t-105 29.5t-132.5 12zM762 703h-157l195 261z" />
<glyph unicode="&#xe231;" d="M475 1300h150q103 0 189 -86t86 -189v-500q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe232;" d="M475 1300h96q0 -150 89.5 -239.5t239.5 -89.5v-446q0 -41 -42 -83t-83 -42h-450q-41 0 -83 42t-42 83v500q0 103 86 189t189 86zM700 300v-225q0 -21 -27 -48t-48 -27h-150q-21 0 -48 27t-27 48v225h300z" />
<glyph unicode="&#xe233;" d="M1294 767l-638 -283l-378 170l-78 -60v-224l100 -150v-199l-150 148l-150 -149v200l100 150v250q0 4 -0.5 10.5t0 9.5t1 8t3 8t6.5 6l47 40l-147 65l642 283zM1000 380l-350 -166l-350 166v147l350 -165l350 165v-147z" />
<glyph unicode="&#xe234;" d="M250 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM650 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM1050 800q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe235;" d="M550 1100q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 700q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44zM550 300q62 0 106 -44t44 -106t-44 -106t-106 -44t-106 44t-44 106t44 106t106 44z" />
<glyph unicode="&#xe236;" d="M125 1100h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5zM125 700h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5 t17.5 7.5zM125 300h950q10 0 17.5 -7.5t7.5 -17.5v-150q0 -10 -7.5 -17.5t-17.5 -7.5h-950q-10 0 -17.5 7.5t-7.5 17.5v150q0 10 7.5 17.5t17.5 7.5z" />
<glyph unicode="&#xe237;" d="M350 1200h500q162 0 256 -93.5t94 -256.5v-500q0 -165 -93.5 -257.5t-256.5 -92.5h-500q-165 0 -257.5 92.5t-92.5 257.5v500q0 165 92.5 257.5t257.5 92.5zM900 1000h-600q-41 0 -70.5 -29.5t-29.5 -70.5v-600q0 -41 29.5 -70.5t70.5 -29.5h600q41 0 70.5 29.5 t29.5 70.5v600q0 41 -29.5 70.5t-70.5 29.5zM350 900h500q21 0 35.5 -14.5t14.5 -35.5v-300q0 -21 -14.5 -35.5t-35.5 -14.5h-500q-21 0 -35.5 14.5t-14.5 35.5v300q0 21 14.5 35.5t35.5 14.5zM400 800v-200h400v200h-400z" />
<glyph unicode="&#xe238;" d="M150 1100h1000q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5t-35.5 -14.5h-50v-200h50q21 0 35.5 -14.5t14.5 -35.5t-14.5 -35.5 t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5h50v200h-50q-21 0 -35.5 14.5t-14.5 35.5t14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe239;" d="M650 1187q87 -67 118.5 -156t0 -178t-118.5 -155q-87 66 -118.5 155t0 178t118.5 156zM300 800q124 0 212 -88t88 -212q-124 0 -212 88t-88 212zM1000 800q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM300 500q124 0 212 -88t88 -212q-124 0 -212 88t-88 212z M1000 500q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM700 199v-144q0 -21 -14.5 -35.5t-35.5 -14.5t-35.5 14.5t-14.5 35.5v142q40 -4 43 -4q17 0 57 6z" />
<glyph unicode="&#xe240;" d="M745 878l69 19q25 6 45 -12l298 -295q11 -11 15 -26.5t-2 -30.5q-5 -14 -18 -23.5t-28 -9.5h-8q1 0 1 -13q0 -29 -2 -56t-8.5 -62t-20 -63t-33 -53t-51 -39t-72.5 -14h-146q-184 0 -184 288q0 24 10 47q-20 4 -62 4t-63 -4q11 -24 11 -47q0 -288 -184 -288h-142 q-48 0 -84.5 21t-56 51t-32 71.5t-16 75t-3.5 68.5q0 13 2 13h-7q-15 0 -27.5 9.5t-18.5 23.5q-6 15 -2 30.5t15 25.5l298 296q20 18 46 11l76 -19q20 -5 30.5 -22.5t5.5 -37.5t-22.5 -31t-37.5 -5l-51 12l-182 -193h891l-182 193l-44 -12q-20 -5 -37.5 6t-22.5 31t6 37.5 t31 22.5z" />
<glyph unicode="&#xe241;" d="M1200 900h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-200v-850q0 -22 25 -34.5t50 -13.5l25 -2v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v850h-200q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h1000v-300zM500 450h-25q0 15 -4 24.5t-9 14.5t-17 7.5t-20 3t-25 0.5h-100v-425q0 -11 12.5 -17.5t25.5 -7.5h12v-50h-200v50q50 0 50 25v425h-100q-17 0 -25 -0.5t-20 -3t-17 -7.5t-9 -14.5t-4 -24.5h-25v150h500v-150z" />
<glyph unicode="&#xe242;" d="M1000 300v50q-25 0 -55 32q-14 14 -25 31t-16 27l-4 11l-289 747h-69l-300 -754q-18 -35 -39 -56q-9 -9 -24.5 -18.5t-26.5 -14.5l-11 -5v-50h273v50q-49 0 -78.5 21.5t-11.5 67.5l69 176h293l61 -166q13 -34 -3.5 -66.5t-55.5 -32.5v-50h312zM412 691l134 342l121 -342 h-255zM1100 150v-100q0 -21 -14.5 -35.5t-35.5 -14.5h-1000q-21 0 -35.5 14.5t-14.5 35.5v100q0 21 14.5 35.5t35.5 14.5h1000q21 0 35.5 -14.5t14.5 -35.5z" />
<glyph unicode="&#xe243;" d="M50 1200h1100q21 0 35.5 -14.5t14.5 -35.5v-1100q0 -21 -14.5 -35.5t-35.5 -14.5h-1100q-21 0 -35.5 14.5t-14.5 35.5v1100q0 21 14.5 35.5t35.5 14.5zM611 1118h-70q-13 0 -18 -12l-299 -753q-17 -32 -35 -51q-18 -18 -56 -34q-12 -5 -12 -18v-50q0 -8 5.5 -14t14.5 -6 h273q8 0 14 6t6 14v50q0 8 -6 14t-14 6q-55 0 -71 23q-10 14 0 39l63 163h266l57 -153q11 -31 -6 -55q-12 -17 -36 -17q-8 0 -14 -6t-6 -14v-50q0 -8 6 -14t14 -6h313q8 0 14 6t6 14v50q0 7 -5.5 13t-13.5 7q-17 0 -42 25q-25 27 -40 63h-1l-288 748q-5 12 -19 12zM639 611 h-197l103 264z" />
<glyph unicode="&#xe244;" d="M1200 1100h-1200v100h1200v-100zM50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 1000h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM700 900v-300h300v300h-300z" />
<glyph unicode="&#xe245;" d="M50 1200h400q21 0 35.5 -14.5t14.5 -35.5v-900q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v900q0 21 14.5 35.5t35.5 14.5zM650 700h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400 q0 21 14.5 35.5t35.5 14.5zM700 600v-300h300v300h-300zM1200 0h-1200v100h1200v-100z" />
<glyph unicode="&#xe246;" d="M50 1000h400q21 0 35.5 -14.5t14.5 -35.5v-350h100v150q0 21 14.5 35.5t35.5 14.5h400q21 0 35.5 -14.5t14.5 -35.5v-150h100v-100h-100v-150q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v150h-100v-350q0 -21 -14.5 -35.5t-35.5 -14.5h-400 q-21 0 -35.5 14.5t-14.5 35.5v800q0 21 14.5 35.5t35.5 14.5zM700 700v-300h300v300h-300z" />
<glyph unicode="&#xe247;" d="M100 0h-100v1200h100v-1200zM250 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM300 1000v-300h300v300h-300zM250 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe248;" d="M600 1100h150q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-100h450q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h350v100h-150q-21 0 -35.5 14.5 t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5h150v100h100v-100zM400 1000v-300h300v300h-300z" />
<glyph unicode="&#xe249;" d="M1200 0h-100v1200h100v-1200zM550 1100h400q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-400q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM600 1000v-300h300v300h-300zM50 500h900q21 0 35.5 -14.5t14.5 -35.5v-400 q0 -21 -14.5 -35.5t-35.5 -14.5h-900q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5z" />
<glyph unicode="&#xe250;" d="M865 565l-494 -494q-23 -23 -41 -23q-14 0 -22 13.5t-8 38.5v1000q0 25 8 38.5t22 13.5q18 0 41 -23l494 -494q14 -14 14 -35t-14 -35z" />
<glyph unicode="&#xe251;" d="M335 635l494 494q29 29 50 20.5t21 -49.5v-1000q0 -41 -21 -49.5t-50 20.5l-494 494q-14 14 -14 35t14 35z" />
<glyph unicode="&#xe252;" d="M100 900h1000q41 0 49.5 -21t-20.5 -50l-494 -494q-14 -14 -35 -14t-35 14l-494 494q-29 29 -20.5 50t49.5 21z" />
<glyph unicode="&#xe253;" d="M635 865l494 -494q29 -29 20.5 -50t-49.5 -21h-1000q-41 0 -49.5 21t20.5 50l494 494q14 14 35 14t35 -14z" />
<glyph unicode="&#xe254;" d="M700 741v-182l-692 -323v221l413 193l-413 193v221zM1200 0h-800v200h800v-200z" />
<glyph unicode="&#xe255;" d="M1200 900h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300zM0 700h50q0 21 4 37t9.5 26.5t18 17.5t22 11t28.5 5.5t31 2t37 0.5h100v-550q0 -22 -25 -34.5t-50 -13.5l-25 -2v-100h400v100q-4 0 -11 0.5t-24 3t-30 7t-24 15t-11 24.5v550h100q25 0 37 -0.5t31 -2 t28.5 -5.5t22 -11t18 -17.5t9.5 -26.5t4 -37h50v300h-800v-300z" />
<glyph unicode="&#xe256;" d="M800 700h-50q0 21 -4 37t-9.5 26.5t-18 17.5t-22 11t-28.5 5.5t-31 2t-37 0.5h-100v-550q0 -22 25 -34.5t50 -14.5l25 -1v-100h-400v100q4 0 11 0.5t24 3t30 7t24 15t11 24.5v550h-100q-25 0 -37 -0.5t-31 -2t-28.5 -5.5t-22 -11t-18 -17.5t-9.5 -26.5t-4 -37h-50v300 h800v-300zM1100 200h-200v-100h200v-100h-300v300h200v100h-200v100h300v-300z" />
<glyph unicode="&#xe257;" d="M701 1098h160q16 0 21 -11t-7 -23l-464 -464l464 -464q12 -12 7 -23t-21 -11h-160q-13 0 -23 9l-471 471q-7 8 -7 18t7 18l471 471q10 9 23 9z" />
<glyph unicode="&#xe258;" d="M339 1098h160q13 0 23 -9l471 -471q7 -8 7 -18t-7 -18l-471 -471q-10 -9 -23 -9h-160q-16 0 -21 11t7 23l464 464l-464 464q-12 12 -7 23t21 11z" />
<glyph unicode="&#xe259;" d="M1087 882q11 -5 11 -21v-160q0 -13 -9 -23l-471 -471q-8 -7 -18 -7t-18 7l-471 471q-9 10 -9 23v160q0 16 11 21t23 -7l464 -464l464 464q12 12 23 7z" />
<glyph unicode="&#xe260;" d="M618 993l471 -471q9 -10 9 -23v-160q0 -16 -11 -21t-23 7l-464 464l-464 -464q-12 -12 -23 -7t-11 21v160q0 13 9 23l471 471q8 7 18 7t18 -7z" />
<glyph unicode="&#xf8ff;" d="M1000 1200q0 -124 -88 -212t-212 -88q0 124 88 212t212 88zM450 1000h100q21 0 40 -14t26 -33l79 -194q5 1 16 3q34 6 54 9.5t60 7t65.5 1t61 -10t56.5 -23t42.5 -42t29 -64t5 -92t-19.5 -121.5q-1 -7 -3 -19.5t-11 -50t-20.5 -73t-32.5 -81.5t-46.5 -83t-64 -70 t-82.5 -50q-13 -5 -42 -5t-65.5 2.5t-47.5 2.5q-14 0 -49.5 -3.5t-63 -3.5t-43.5 7q-57 25 -104.5 78.5t-75 111.5t-46.5 112t-26 90l-7 35q-15 63 -18 115t4.5 88.5t26 64t39.5 43.5t52 25.5t58.5 13t62.5 2t59.5 -4.5t55.5 -8l-147 192q-12 18 -5.5 30t27.5 12z" />
<glyph unicode="&#x1f511;" d="M250 1200h600q21 0 35.5 -14.5t14.5 -35.5v-400q0 -21 -14.5 -35.5t-35.5 -14.5h-150v-500l-255 -178q-19 -9 -32 -1t-13 29v650h-150q-21 0 -35.5 14.5t-14.5 35.5v400q0 21 14.5 35.5t35.5 14.5zM400 1100v-100h300v100h-300z" />
<glyph unicode="&#x1f6aa;" d="M250 1200h750q39 0 69.5 -40.5t30.5 -84.5v-933l-700 -117v950l600 125h-700v-1000h-100v1025q0 23 15.5 49t34.5 26zM500 525v-100l100 20v100z" />
</font>
</defs></svg> ) format('svg')}.glyphicon{position:relative;top:1px;display:inline-block;font-family:'Glyphicons Halflings';font-style:normal;font-weight:normal;line-height:1;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.glyphicon-asterisk:before{content:"\002a"}.glyphicon-plus:before{content:"\002b"}.glyphicon-euro:before,.glyphicon-eur:before{content:"\20ac"}.glyphicon-minus:before{content:"\2212"}.glyphicon-cloud:before{content:"\2601"}.glyphicon-envelope:before{content:"\2709"}.glyphicon-pencil:before{content:"\270f"}.glyphicon-glass:before{content:"\e001"}.glyphicon-music:before{content:"\e002"}.glyphicon-search:before{content:"\e003"}.glyphicon-heart:before{content:"\e005"}.glyphicon-star:before{content:"\e006"}.glyphicon-star-empty:before{content:"\e007"}.glyphicon-user:before{content:"\e008"}.glyphicon-film:before{content:"\e009"}.glyphicon-th-large:before{content:"\e010"}.glyphicon-th:before{content:"\e011"}.glyphicon-th-list:before{content:"\e012"}.glyphicon-ok:before{content:"\e013"}.glyphicon-remove:before{content:"\e014"}.glyphicon-zoom-in:before{content:"\e015"}.glyphicon-zoom-out:before{content:"\e016"}.glyphicon-off:before{content:"\e017"}.glyphicon-signal:before{content:"\e018"}.glyphicon-cog:before{content:"\e019"}.glyphicon-trash:before{content:"\e020"}.glyphicon-home:before{content:"\e021"}.glyphicon-file:before{content:"\e022"}.glyphicon-time:before{content:"\e023"}.glyphicon-road:before{content:"\e024"}.glyphicon-download-alt:before{content:"\e025"}.glyphicon-download:before{content:"\e026"}.glyphicon-upload:before{content:"\e027"}.glyphicon-inbox:before{content:"\e028"}.glyphicon-play-circle:before{content:"\e029"}.glyphicon-repeat:before{content:"\e030"}.glyphicon-refresh:before{content:"\e031"}.glyphicon-list-alt:before{content:"\e032"}.glyphicon-lock:before{content:"\e033"}.glyphicon-flag:before{content:"\e034"}.glyphicon-headphones:before{content:"\e035"}.glyphicon-volume-off:before{content:"\e036"}.glyphicon-volume-down:before{content:"\e037"}.glyphicon-volume-up:before{content:"\e038"}.glyphicon-qrcode:before{content:"\e039"}.glyphicon-barcode:before{content:"\e040"}.glyphicon-tag:before{content:"\e041"}.glyphicon-tags:before{content:"\e042"}.glyphicon-book:before{content:"\e043"}.glyphicon-bookmark:before{content:"\e044"}.glyphicon-print:before{content:"\e045"}.glyphicon-camera:before{content:"\e046"}.glyphicon-font:before{content:"\e047"}.glyphicon-bold:before{content:"\e048"}.glyphicon-italic:before{content:"\e049"}.glyphicon-text-height:before{content:"\e050"}.glyphicon-text-width:before{content:"\e051"}.glyphicon-align-left:before{content:"\e052"}.glyphicon-align-center:before{content:"\e053"}.glyphicon-align-right:before{content:"\e054"}.glyphicon-align-justify:before{content:"\e055"}.glyphicon-list:before{content:"\e056"}.glyphicon-indent-left:before{content:"\e057"}.glyphicon-indent-right:before{content:"\e058"}.glyphicon-facetime-video:before{content:"\e059"}.glyphicon-picture:before{content:"\e060"}.glyphicon-map-marker:before{content:"\e062"}.glyphicon-adjust:before{content:"\e063"}.glyphicon-tint:before{content:"\e064"}.glyphicon-edit:before{content:"\e065"}.glyphicon-share:before{content:"\e066"}.glyphicon-check:before{content:"\e067"}.glyphicon-move:before{content:"\e068"}.glyphicon-step-backward:before{content:"\e069"}.glyphicon-fast-backward:before{content:"\e070"}.glyphicon-backward:before{content:"\e071"}.glyphicon-play:before{content:"\e072"}.glyphicon-pause:before{content:"\e073"}.glyphicon-stop:before{content:"\e074"}.glyphicon-forward:before{content:"\e075"}.glyphicon-fast-forward:before{content:"\e076"}.glyphicon-step-forward:before{content:"\e077"}.glyphicon-eject:before{content:"\e078"}.glyphicon-chevron-left:before{content:"\e079"}.glyphicon-chevron-right:before{content:"\e080"}.glyphicon-plus-sign:before{content:"\e081"}.glyphicon-minus-sign:before{content:"\e082"}.glyphicon-remove-sign:before{content:"\e083"}.glyphicon-ok-sign:before{content:"\e084"}.glyphicon-question-sign:before{content:"\e085"}.glyphicon-info-sign:before{content:"\e086"}.glyphicon-screenshot:before{content:"\e087"}.glyphicon-remove-circle:before{content:"\e088"}.glyphicon-ok-circle:before{content:"\e089"}.glyphicon-ban-circle:before{content:"\e090"}.glyphicon-arrow-left:before{content:"\e091"}.glyphicon-arrow-right:before{content:"\e092"}.glyphicon-arrow-up:before{content:"\e093"}.glyphicon-arrow-down:before{content:"\e094"}.glyphicon-share-alt:before{content:"\e095"}.glyphicon-resize-full:before{content:"\e096"}.glyphicon-resize-small:before{content:"\e097"}.glyphicon-exclamation-sign:before{content:"\e101"}.glyphicon-gift:before{content:"\e102"}.glyphicon-leaf:before{content:"\e103"}.glyphicon-fire:before{content:"\e104"}.glyphicon-eye-open:before{content:"\e105"}.glyphicon-eye-close:before{content:"\e106"}.glyphicon-warning-sign:before{content:"\e107"}.glyphicon-plane:before{content:"\e108"}.glyphicon-calendar:before{content:"\e109"}.glyphicon-random:before{content:"\e110"}.glyphicon-comment:before{content:"\e111"}.glyphicon-magnet:before{content:"\e112"}.glyphicon-chevron-up:before{content:"\e113"}.glyphicon-chevron-down:before{content:"\e114"}.glyphicon-retweet:before{content:"\e115"}.glyphicon-shopping-cart:before{content:"\e116"}.glyphicon-folder-close:before{content:"\e117"}.glyphicon-folder-open:before{content:"\e118"}.glyphicon-resize-vertical:before{content:"\e119"}.glyphicon-resize-horizontal:before{content:"\e120"}.glyphicon-hdd:before{content:"\e121"}.glyphicon-bullhorn:before{content:"\e122"}.glyphicon-bell:before{content:"\e123"}.glyphicon-certificate:before{content:"\e124"}.glyphicon-thumbs-up:before{content:"\e125"}.glyphicon-thumbs-down:before{content:"\e126"}.glyphicon-hand-right:before{content:"\e127"}.glyphicon-hand-left:before{content:"\e128"}.glyphicon-hand-up:before{content:"\e129"}.glyphicon-hand-down:before{content:"\e130"}.glyphicon-circle-arrow-right:before{content:"\e131"}.glyphicon-circle-arrow-left:before{content:"\e132"}.glyphicon-circle-arrow-up:before{content:"\e133"}.glyphicon-circle-arrow-down:before{content:"\e134"}.glyphicon-globe:before{content:"\e135"}.glyphicon-wrench:before{content:"\e136"}.glyphicon-tasks:before{content:"\e137"}.glyphicon-filter:before{content:"\e138"}.glyphicon-briefcase:before{content:"\e139"}.glyphicon-fullscreen:before{content:"\e140"}.glyphicon-dashboard:before{content:"\e141"}.glyphicon-paperclip:before{content:"\e142"}.glyphicon-heart-empty:before{content:"\e143"}.glyphicon-link:before{content:"\e144"}.glyphicon-phone:before{content:"\e145"}.glyphicon-pushpin:before{content:"\e146"}.glyphicon-usd:before{content:"\e148"}.glyphicon-gbp:before{content:"\e149"}.glyphicon-sort:before{content:"\e150"}.glyphicon-sort-by-alphabet:before{content:"\e151"}.glyphicon-sort-by-alphabet-alt:before{content:"\e152"}.glyphicon-sort-by-order:before{content:"\e153"}.glyphicon-sort-by-order-alt:before{content:"\e154"}.glyphicon-sort-by-attributes:before{content:"\e155"}.glyphicon-sort-by-attributes-alt:before{content:"\e156"}.glyphicon-unchecked:before{content:"\e157"}.glyphicon-expand:before{content:"\e158"}.glyphicon-collapse-down:before{content:"\e159"}.glyphicon-collapse-up:before{content:"\e160"}.glyphicon-log-in:before{content:"\e161"}.glyphicon-flash:before{content:"\e162"}.glyphicon-log-out:before{content:"\e163"}.glyphicon-new-window:before{content:"\e164"}.glyphicon-record:before{content:"\e165"}.glyphicon-save:before{content:"\e166"}.glyphicon-open:before{content:"\e167"}.glyphicon-saved:before{content:"\e168"}.glyphicon-import:before{content:"\e169"}.glyphicon-export:before{content:"\e170"}.glyphicon-send:before{content:"\e171"}.glyphicon-floppy-disk:before{content:"\e172"}.glyphicon-floppy-saved:before{content:"\e173"}.glyphicon-floppy-remove:before{content:"\e174"}.glyphicon-floppy-save:before{content:"\e175"}.glyphicon-floppy-open:before{content:"\e176"}.glyphicon-credit-card:before{content:"\e177"}.glyphicon-transfer:before{content:"\e178"}.glyphicon-cutlery:before{content:"\e179"}.glyphicon-header:before{content:"\e180"}.glyphicon-compressed:before{content:"\e181"}.glyphicon-earphone:before{content:"\e182"}.glyphicon-phone-alt:before{content:"\e183"}.glyphicon-tower:before{content:"\e184"}.glyphicon-stats:before{content:"\e185"}.glyphicon-sd-video:before{content:"\e186"}.glyphicon-hd-video:before{content:"\e187"}.glyphicon-subtitles:before{content:"\e188"}.glyphicon-sound-stereo:before{content:"\e189"}.glyphicon-sound-dolby:before{content:"\e190"}.glyphicon-sound-5-1:before{content:"\e191"}.glyphicon-sound-6-1:before{content:"\e192"}.glyphicon-sound-7-1:before{content:"\e193"}.glyphicon-copyright-mark:before{content:"\e194"}.glyphicon-registration-mark:before{content:"\e195"}.glyphicon-cloud-download:before{content:"\e197"}.glyphicon-cloud-upload:before{content:"\e198"}.glyphicon-tree-conifer:before{content:"\e199"}.glyphicon-tree-deciduous:before{content:"\e200"}.glyphicon-cd:before{content:"\e201"}.glyphicon-save-file:before{content:"\e202"}.glyphicon-open-file:before{content:"\e203"}.glyphicon-level-up:before{content:"\e204"}.glyphicon-copy:before{content:"\e205"}.glyphicon-paste:before{content:"\e206"}.glyphicon-alert:before{content:"\e209"}.glyphicon-equalizer:before{content:"\e210"}.glyphicon-king:before{content:"\e211"}.glyphicon-queen:before{content:"\e212"}.glyphicon-pawn:before{content:"\e213"}.glyphicon-bishop:before{content:"\e214"}.glyphicon-knight:before{content:"\e215"}.glyphicon-baby-formula:before{content:"\e216"}.glyphicon-tent:before{content:"\26fa"}.glyphicon-blackboard:before{content:"\e218"}.glyphicon-bed:before{content:"\e219"}.glyphicon-apple:before{content:"\f8ff"}.glyphicon-erase:before{content:"\e221"}.glyphicon-hourglass:before{content:"\231b"}.glyphicon-lamp:before{content:"\e223"}.glyphicon-duplicate:before{content:"\e224"}.glyphicon-piggy-bank:before{content:"\e225"}.glyphicon-scissors:before{content:"\e226"}.glyphicon-bitcoin:before{content:"\e227"}.glyphicon-btc:before{content:"\e227"}.glyphicon-xbt:before{content:"\e227"}.glyphicon-yen:before{content:"\00a5"}.glyphicon-jpy:before{content:"\00a5"}.glyphicon-ruble:before{content:"\20bd"}.glyphicon-rub:before{content:"\20bd"}.glyphicon-scale:before{content:"\e230"}.glyphicon-ice-lolly:before{content:"\e231"}.glyphicon-ice-lolly-tasted:before{content:"\e232"}.glyphicon-education:before{content:"\e233"}.glyphicon-option-horizontal:before{content:"\e234"}.glyphicon-option-vertical:before{content:"\e235"}.glyphicon-menu-hamburger:before{content:"\e236"}.glyphicon-modal-window:before{content:"\e237"}.glyphicon-oil:before{content:"\e238"}.glyphicon-grain:before{content:"\e239"}.glyphicon-sunglasses:before{content:"\e240"}.glyphicon-text-size:before{content:"\e241"}.glyphicon-text-color:before{content:"\e242"}.glyphicon-text-background:before{content:"\e243"}.glyphicon-object-align-top:before{content:"\e244"}.glyphicon-object-align-bottom:before{content:"\e245"}.glyphicon-object-align-horizontal:before{content:"\e246"}.glyphicon-object-align-left:before{content:"\e247"}.glyphicon-object-align-vertical:before{content:"\e248"}.glyphicon-object-align-right:before{content:"\e249"}.glyphicon-triangle-right:before{content:"\e250"}.glyphicon-triangle-left:before{content:"\e251"}.glyphicon-triangle-bottom:before{content:"\e252"}.glyphicon-triangle-top:before{content:"\e253"}.glyphicon-console:before{content:"\e254"}.glyphicon-superscript:before{content:"\e255"}.glyphicon-subscript:before{content:"\e256"}.glyphicon-menu-left:before{content:"\e257"}.glyphicon-menu-right:before{content:"\e258"}.glyphicon-menu-down:before{content:"\e259"}.glyphicon-menu-up:before{content:"\e260"}*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}*:before,*:after{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}html{font-size:10px;-webkit-tap-highlight-color:rgba(0,0,0,0)}body{font-family:"Roboto","Helvetica Neue",Helvetica,Arial,sans-serif;font-size:13px;line-height:1.846;color:#666666;background-color:#ffffff}input,button,select,textarea{font-family:inherit;font-size:inherit;line-height:inherit}a{color:#2196f3;text-decoration:none}a:hover,a:focus{color:#0a6ebd;text-decoration:underline}a:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}figure{margin:0}img{vertical-align:middle}.img-responsive,.thumbnail>img,.thumbnail a>img,.carousel-inner>.item>img,.carousel-inner>.item>a>img{display:block;max-width:100%;height:auto}.img-rounded{border-radius:3px}.img-thumbnail{padding:4px;line-height:1.846;background-color:#ffffff;border:1px solid #dddddd;border-radius:3px;-webkit-transition:all .2s ease-in-out;-o-transition:all .2s ease-in-out;transition:all .2s ease-in-out;display:inline-block;max-width:100%;height:auto}.img-circle{border-radius:50%}hr{margin-top:23px;margin-bottom:23px;border:0;border-top:1px solid #eeeeee}.sr-only{position:absolute;width:1px;height:1px;margin:-1px;padding:0;overflow:hidden;clip:rect(0, 0, 0, 0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto}[role="button"]{cursor:pointer}h1,h2,h3,h4,h5,h6,.h1,.h2,.h3,.h4,.h5,.h6{font-family:inherit;font-weight:400;line-height:1.1;color:#444444}h1 small,h2 small,h3 small,h4 small,h5 small,h6 small,.h1 small,.h2 small,.h3 small,.h4 small,.h5 small,.h6 small,h1 .small,h2 .small,h3 .small,h4 .small,h5 .small,h6 .small,.h1 .small,.h2 .small,.h3 .small,.h4 .small,.h5 .small,.h6 .small{font-weight:normal;line-height:1;color:#bbbbbb}h1,.h1,h2,.h2,h3,.h3{margin-top:23px;margin-bottom:11.5px}h1 small,.h1 small,h2 small,.h2 small,h3 small,.h3 small,h1 .small,.h1 .small,h2 .small,.h2 .small,h3 .small,.h3 .small{font-size:65%}h4,.h4,h5,.h5,h6,.h6{margin-top:11.5px;margin-bottom:11.5px}h4 small,.h4 small,h5 small,.h5 small,h6 small,.h6 small,h4 .small,.h4 .small,h5 .small,.h5 .small,h6 .small,.h6 .small{font-size:75%}h1,.h1{font-size:56px}h2,.h2{font-size:45px}h3,.h3{font-size:34px}h4,.h4{font-size:24px}h5,.h5{font-size:20px}h6,.h6{font-size:14px}p{margin:0 0 11.5px}.lead{margin-bottom:23px;font-size:14px;font-weight:300;line-height:1.4}@media (min-width:768px){.lead{font-size:19.5px}}small,.small{font-size:92%}mark,.mark{background-color:#ffe0b2;padding:.2em}.text-left{text-align:left}.text-right{text-align:right}.text-center{text-align:center}.text-justify{text-align:justify}.text-nowrap{white-space:nowrap}.text-lowercase{text-transform:lowercase}.text-uppercase{text-transform:uppercase}.text-capitalize{text-transform:capitalize}.text-muted{color:#bbbbbb}.text-primary{color:#2196f3}a.text-primary:hover,a.text-primary:focus{color:#0c7cd5}.text-success{color:#4caf50}a.text-success:hover,a.text-success:focus{color:#3d8b40}.text-info{color:#9c27b0}a.text-info:hover,a.text-info:focus{color:#771e86}.text-warning{color:#ff9800}a.text-warning:hover,a.text-warning:focus{color:#cc7a00}.text-danger{color:#e51c23}a.text-danger:hover,a.text-danger:focus{color:#b9151b}.bg-primary{color:#fff;background-color:#2196f3}a.bg-primary:hover,a.bg-primary:focus{background-color:#0c7cd5}.bg-success{background-color:#dff0d8}a.bg-success:hover,a.bg-success:focus{background-color:#c1e2b3}.bg-info{background-color:#e1bee7}a.bg-info:hover,a.bg-info:focus{background-color:#d099d9}.bg-warning{background-color:#ffe0b2}a.bg-warning:hover,a.bg-warning:focus{background-color:#ffcb7f}.bg-danger{background-color:#f9bdbb}a.bg-danger:hover,a.bg-danger:focus{background-color:#f5908c}.page-header{padding-bottom:10.5px;margin:46px 0 23px;border-bottom:1px solid #eeeeee}ul,ol{margin-top:0;margin-bottom:11.5px}ul ul,ol ul,ul ol,ol ol{margin-bottom:0}.list-unstyled{padding-left:0;list-style:none}.list-inline{padding-left:0;list-style:none;margin-left:-5px}.list-inline>li{display:inline-block;padding-left:5px;padding-right:5px}dl{margin-top:0;margin-bottom:23px}dt,dd{line-height:1.846}dt{font-weight:bold}dd{margin-left:0}@media (min-width:768px){.dl-horizontal dt{float:left;width:160px;clear:left;text-align:right;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.dl-horizontal dd{margin-left:180px}}abbr[title],abbr[data-original-title]{cursor:help;border-bottom:1px dotted #bbbbbb}.initialism{font-size:90%;text-transform:uppercase}blockquote{padding:11.5px 23px;margin:0 0 23px;font-size:16.25px;border-left:5px solid #eeeeee}blockquote p:last-child,blockquote ul:last-child,blockquote ol:last-child{margin-bottom:0}blockquote footer,blockquote small,blockquote .small{display:block;font-size:80%;line-height:1.846;color:#bbbbbb}blockquote footer:before,blockquote small:before,blockquote .small:before{content:'\2014 \00A0'}.blockquote-reverse,blockquote.pull-right{padding-right:15px;padding-left:0;border-right:5px solid #eeeeee;border-left:0;text-align:right}.blockquote-reverse footer:before,blockquote.pull-right footer:before,.blockquote-reverse small:before,blockquote.pull-right small:before,.blockquote-reverse .small:before,blockquote.pull-right .small:before{content:''}.blockquote-reverse footer:after,blockquote.pull-right footer:after,.blockquote-reverse small:after,blockquote.pull-right small:after,.blockquote-reverse .small:after,blockquote.pull-right .small:after{content:'\00A0 \2014'}address{margin-bottom:23px;font-style:normal;line-height:1.846}code,kbd,pre,samp{font-family:monospace}code{padding:2px 4px;font-size:90%;color:#c7254e;background-color:#f9f2f4;border-radius:3px}kbd{padding:2px 4px;font-size:90%;color:#ffffff;background-color:#333333;border-radius:3px;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.25)}kbd kbd{padding:0;font-size:100%;font-weight:bold;-webkit-box-shadow:none;box-shadow:none}pre{display:block;padding:11px;margin:0 0 11.5px;font-size:12px;line-height:1.846;word-break:break-all;word-wrap:break-word;color:#212121;background-color:#f5f5f5;border:1px solid #cccccc;border-radius:3px}pre code{padding:0;font-size:inherit;color:inherit;white-space:pre-wrap;background-color:transparent;border-radius:0}.pre-scrollable{max-height:340px;overflow-y:scroll}.container{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}@media (min-width:768px){.container{width:750px}}@media (min-width:992px){.container{width:970px}}@media (min-width:1200px){.container{width:1170px}}.container-fluid{margin-right:auto;margin-left:auto;padding-left:15px;padding-right:15px}.row{margin-left:-15px;margin-right:-15px}.col-xs-1,.col-sm-1,.col-md-1,.col-lg-1,.col-xs-2,.col-sm-2,.col-md-2,.col-lg-2,.col-xs-3,.col-sm-3,.col-md-3,.col-lg-3,.col-xs-4,.col-sm-4,.col-md-4,.col-lg-4,.col-xs-5,.col-sm-5,.col-md-5,.col-lg-5,.col-xs-6,.col-sm-6,.col-md-6,.col-lg-6,.col-xs-7,.col-sm-7,.col-md-7,.col-lg-7,.col-xs-8,.col-sm-8,.col-md-8,.col-lg-8,.col-xs-9,.col-sm-9,.col-md-9,.col-lg-9,.col-xs-10,.col-sm-10,.col-md-10,.col-lg-10,.col-xs-11,.col-sm-11,.col-md-11,.col-lg-11,.col-xs-12,.col-sm-12,.col-md-12,.col-lg-12{position:relative;min-height:1px;padding-left:15px;padding-right:15px}.col-xs-1,.col-xs-2,.col-xs-3,.col-xs-4,.col-xs-5,.col-xs-6,.col-xs-7,.col-xs-8,.col-xs-9,.col-xs-10,.col-xs-11,.col-xs-12{float:left}.col-xs-12{width:100%}.col-xs-11{width:91.66666667%}.col-xs-10{width:83.33333333%}.col-xs-9{width:75%}.col-xs-8{width:66.66666667%}.col-xs-7{width:58.33333333%}.col-xs-6{width:50%}.col-xs-5{width:41.66666667%}.col-xs-4{width:33.33333333%}.col-xs-3{width:25%}.col-xs-2{width:16.66666667%}.col-xs-1{width:8.33333333%}.col-xs-pull-12{right:100%}.col-xs-pull-11{right:91.66666667%}.col-xs-pull-10{right:83.33333333%}.col-xs-pull-9{right:75%}.col-xs-pull-8{right:66.66666667%}.col-xs-pull-7{right:58.33333333%}.col-xs-pull-6{right:50%}.col-xs-pull-5{right:41.66666667%}.col-xs-pull-4{right:33.33333333%}.col-xs-pull-3{right:25%}.col-xs-pull-2{right:16.66666667%}.col-xs-pull-1{right:8.33333333%}.col-xs-pull-0{right:auto}.col-xs-push-12{left:100%}.col-xs-push-11{left:91.66666667%}.col-xs-push-10{left:83.33333333%}.col-xs-push-9{left:75%}.col-xs-push-8{left:66.66666667%}.col-xs-push-7{left:58.33333333%}.col-xs-push-6{left:50%}.col-xs-push-5{left:41.66666667%}.col-xs-push-4{left:33.33333333%}.col-xs-push-3{left:25%}.col-xs-push-2{left:16.66666667%}.col-xs-push-1{left:8.33333333%}.col-xs-push-0{left:auto}.col-xs-offset-12{margin-left:100%}.col-xs-offset-11{margin-left:91.66666667%}.col-xs-offset-10{margin-left:83.33333333%}.col-xs-offset-9{margin-left:75%}.col-xs-offset-8{margin-left:66.66666667%}.col-xs-offset-7{margin-left:58.33333333%}.col-xs-offset-6{margin-left:50%}.col-xs-offset-5{margin-left:41.66666667%}.col-xs-offset-4{margin-left:33.33333333%}.col-xs-offset-3{margin-left:25%}.col-xs-offset-2{margin-left:16.66666667%}.col-xs-offset-1{margin-left:8.33333333%}.col-xs-offset-0{margin-left:0%}@media (min-width:768px){.col-sm-1,.col-sm-2,.col-sm-3,.col-sm-4,.col-sm-5,.col-sm-6,.col-sm-7,.col-sm-8,.col-sm-9,.col-sm-10,.col-sm-11,.col-sm-12{float:left}.col-sm-12{width:100%}.col-sm-11{width:91.66666667%}.col-sm-10{width:83.33333333%}.col-sm-9{width:75%}.col-sm-8{width:66.66666667%}.col-sm-7{width:58.33333333%}.col-sm-6{width:50%}.col-sm-5{width:41.66666667%}.col-sm-4{width:33.33333333%}.col-sm-3{width:25%}.col-sm-2{width:16.66666667%}.col-sm-1{width:8.33333333%}.col-sm-pull-12{right:100%}.col-sm-pull-11{right:91.66666667%}.col-sm-pull-10{right:83.33333333%}.col-sm-pull-9{right:75%}.col-sm-pull-8{right:66.66666667%}.col-sm-pull-7{right:58.33333333%}.col-sm-pull-6{right:50%}.col-sm-pull-5{right:41.66666667%}.col-sm-pull-4{right:33.33333333%}.col-sm-pull-3{right:25%}.col-sm-pull-2{right:16.66666667%}.col-sm-pull-1{right:8.33333333%}.col-sm-pull-0{right:auto}.col-sm-push-12{left:100%}.col-sm-push-11{left:91.66666667%}.col-sm-push-10{left:83.33333333%}.col-sm-push-9{left:75%}.col-sm-push-8{left:66.66666667%}.col-sm-push-7{left:58.33333333%}.col-sm-push-6{left:50%}.col-sm-push-5{left:41.66666667%}.col-sm-push-4{left:33.33333333%}.col-sm-push-3{left:25%}.col-sm-push-2{left:16.66666667%}.col-sm-push-1{left:8.33333333%}.col-sm-push-0{left:auto}.col-sm-offset-12{margin-left:100%}.col-sm-offset-11{margin-left:91.66666667%}.col-sm-offset-10{margin-left:83.33333333%}.col-sm-offset-9{margin-left:75%}.col-sm-offset-8{margin-left:66.66666667%}.col-sm-offset-7{margin-left:58.33333333%}.col-sm-offset-6{margin-left:50%}.col-sm-offset-5{margin-left:41.66666667%}.col-sm-offset-4{margin-left:33.33333333%}.col-sm-offset-3{margin-left:25%}.col-sm-offset-2{margin-left:16.66666667%}.col-sm-offset-1{margin-left:8.33333333%}.col-sm-offset-0{margin-left:0%}}@media (min-width:992px){.col-md-1,.col-md-2,.col-md-3,.col-md-4,.col-md-5,.col-md-6,.col-md-7,.col-md-8,.col-md-9,.col-md-10,.col-md-11,.col-md-12{float:left}.col-md-12{width:100%}.col-md-11{width:91.66666667%}.col-md-10{width:83.33333333%}.col-md-9{width:75%}.col-md-8{width:66.66666667%}.col-md-7{width:58.33333333%}.col-md-6{width:50%}.col-md-5{width:41.66666667%}.col-md-4{width:33.33333333%}.col-md-3{width:25%}.col-md-2{width:16.66666667%}.col-md-1{width:8.33333333%}.col-md-pull-12{right:100%}.col-md-pull-11{right:91.66666667%}.col-md-pull-10{right:83.33333333%}.col-md-pull-9{right:75%}.col-md-pull-8{right:66.66666667%}.col-md-pull-7{right:58.33333333%}.col-md-pull-6{right:50%}.col-md-pull-5{right:41.66666667%}.col-md-pull-4{right:33.33333333%}.col-md-pull-3{right:25%}.col-md-pull-2{right:16.66666667%}.col-md-pull-1{right:8.33333333%}.col-md-pull-0{right:auto}.col-md-push-12{left:100%}.col-md-push-11{left:91.66666667%}.col-md-push-10{left:83.33333333%}.col-md-push-9{left:75%}.col-md-push-8{left:66.66666667%}.col-md-push-7{left:58.33333333%}.col-md-push-6{left:50%}.col-md-push-5{left:41.66666667%}.col-md-push-4{left:33.33333333%}.col-md-push-3{left:25%}.col-md-push-2{left:16.66666667%}.col-md-push-1{left:8.33333333%}.col-md-push-0{left:auto}.col-md-offset-12{margin-left:100%}.col-md-offset-11{margin-left:91.66666667%}.col-md-offset-10{margin-left:83.33333333%}.col-md-offset-9{margin-left:75%}.col-md-offset-8{margin-left:66.66666667%}.col-md-offset-7{margin-left:58.33333333%}.col-md-offset-6{margin-left:50%}.col-md-offset-5{margin-left:41.66666667%}.col-md-offset-4{margin-left:33.33333333%}.col-md-offset-3{margin-left:25%}.col-md-offset-2{margin-left:16.66666667%}.col-md-offset-1{margin-left:8.33333333%}.col-md-offset-0{margin-left:0%}}@media (min-width:1200px){.col-lg-1,.col-lg-2,.col-lg-3,.col-lg-4,.col-lg-5,.col-lg-6,.col-lg-7,.col-lg-8,.col-lg-9,.col-lg-10,.col-lg-11,.col-lg-12{float:left}.col-lg-12{width:100%}.col-lg-11{width:91.66666667%}.col-lg-10{width:83.33333333%}.col-lg-9{width:75%}.col-lg-8{width:66.66666667%}.col-lg-7{width:58.33333333%}.col-lg-6{width:50%}.col-lg-5{width:41.66666667%}.col-lg-4{width:33.33333333%}.col-lg-3{width:25%}.col-lg-2{width:16.66666667%}.col-lg-1{width:8.33333333%}.col-lg-pull-12{right:100%}.col-lg-pull-11{right:91.66666667%}.col-lg-pull-10{right:83.33333333%}.col-lg-pull-9{right:75%}.col-lg-pull-8{right:66.66666667%}.col-lg-pull-7{right:58.33333333%}.col-lg-pull-6{right:50%}.col-lg-pull-5{right:41.66666667%}.col-lg-pull-4{right:33.33333333%}.col-lg-pull-3{right:25%}.col-lg-pull-2{right:16.66666667%}.col-lg-pull-1{right:8.33333333%}.col-lg-pull-0{right:auto}.col-lg-push-12{left:100%}.col-lg-push-11{left:91.66666667%}.col-lg-push-10{left:83.33333333%}.col-lg-push-9{left:75%}.col-lg-push-8{left:66.66666667%}.col-lg-push-7{left:58.33333333%}.col-lg-push-6{left:50%}.col-lg-push-5{left:41.66666667%}.col-lg-push-4{left:33.33333333%}.col-lg-push-3{left:25%}.col-lg-push-2{left:16.66666667%}.col-lg-push-1{left:8.33333333%}.col-lg-push-0{left:auto}.col-lg-offset-12{margin-left:100%}.col-lg-offset-11{margin-left:91.66666667%}.col-lg-offset-10{margin-left:83.33333333%}.col-lg-offset-9{margin-left:75%}.col-lg-offset-8{margin-left:66.66666667%}.col-lg-offset-7{margin-left:58.33333333%}.col-lg-offset-6{margin-left:50%}.col-lg-offset-5{margin-left:41.66666667%}.col-lg-offset-4{margin-left:33.33333333%}.col-lg-offset-3{margin-left:25%}.col-lg-offset-2{margin-left:16.66666667%}.col-lg-offset-1{margin-left:8.33333333%}.col-lg-offset-0{margin-left:0%}}table{background-color:transparent}caption{padding-top:8px;padding-bottom:8px;color:#bbbbbb;text-align:left}th{}.table{width:100%;max-width:100%;margin-bottom:23px}.table>thead>tr>th,.table>tbody>tr>th,.table>tfoot>tr>th,.table>thead>tr>td,.table>tbody>tr>td,.table>tfoot>tr>td{padding:8px;line-height:1.846;vertical-align:top;border-top:1px solid #dddddd}.table>thead>tr>th{vertical-align:bottom;border-bottom:2px solid #dddddd}.table>caption+thead>tr:first-child>th,.table>colgroup+thead>tr:first-child>th,.table>thead:first-child>tr:first-child>th,.table>caption+thead>tr:first-child>td,.table>colgroup+thead>tr:first-child>td,.table>thead:first-child>tr:first-child>td{border-top:0}.table>tbody+tbody{border-top:2px solid #dddddd}.table .table{background-color:#ffffff}.table-condensed>thead>tr>th,.table-condensed>tbody>tr>th,.table-condensed>tfoot>tr>th,.table-condensed>thead>tr>td,.table-condensed>tbody>tr>td,.table-condensed>tfoot>tr>td{padding:5px}.table-bordered{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>tbody>tr>th,.table-bordered>tfoot>tr>th,.table-bordered>thead>tr>td,.table-bordered>tbody>tr>td,.table-bordered>tfoot>tr>td{border:1px solid #dddddd}.table-bordered>thead>tr>th,.table-bordered>thead>tr>td{border-bottom-width:2px}.table-striped>tbody>tr:nth-of-type(odd){background-color:#f9f9f9}.table-hover>tbody>tr:hover{background-color:#f5f5f5}table col[class*="col-"]{position:static;float:none;display:table-column}table td[class*="col-"],table th[class*="col-"]{position:static;float:none;display:table-cell}.table>thead>tr>td.active,.table>tbody>tr>td.active,.table>tfoot>tr>td.active,.table>thead>tr>th.active,.table>tbody>tr>th.active,.table>tfoot>tr>th.active,.table>thead>tr.active>td,.table>tbody>tr.active>td,.table>tfoot>tr.active>td,.table>thead>tr.active>th,.table>tbody>tr.active>th,.table>tfoot>tr.active>th{background-color:#f5f5f5}.table-hover>tbody>tr>td.active:hover,.table-hover>tbody>tr>th.active:hover,.table-hover>tbody>tr.active:hover>td,.table-hover>tbody>tr:hover>.active,.table-hover>tbody>tr.active:hover>th{background-color:#e8e8e8}.table>thead>tr>td.success,.table>tbody>tr>td.success,.table>tfoot>tr>td.success,.table>thead>tr>th.success,.table>tbody>tr>th.success,.table>tfoot>tr>th.success,.table>thead>tr.success>td,.table>tbody>tr.success>td,.table>tfoot>tr.success>td,.table>thead>tr.success>th,.table>tbody>tr.success>th,.table>tfoot>tr.success>th{background-color:#dff0d8}.table-hover>tbody>tr>td.success:hover,.table-hover>tbody>tr>th.success:hover,.table-hover>tbody>tr.success:hover>td,.table-hover>tbody>tr:hover>.success,.table-hover>tbody>tr.success:hover>th{background-color:#d0e9c6}.table>thead>tr>td.info,.table>tbody>tr>td.info,.table>tfoot>tr>td.info,.table>thead>tr>th.info,.table>tbody>tr>th.info,.table>tfoot>tr>th.info,.table>thead>tr.info>td,.table>tbody>tr.info>td,.table>tfoot>tr.info>td,.table>thead>tr.info>th,.table>tbody>tr.info>th,.table>tfoot>tr.info>th{background-color:#e1bee7}.table-hover>tbody>tr>td.info:hover,.table-hover>tbody>tr>th.info:hover,.table-hover>tbody>tr.info:hover>td,.table-hover>tbody>tr:hover>.info,.table-hover>tbody>tr.info:hover>th{background-color:#d8abe0}.table>thead>tr>td.warning,.table>tbody>tr>td.warning,.table>tfoot>tr>td.warning,.table>thead>tr>th.warning,.table>tbody>tr>th.warning,.table>tfoot>tr>th.warning,.table>thead>tr.warning>td,.table>tbody>tr.warning>td,.table>tfoot>tr.warning>td,.table>thead>tr.warning>th,.table>tbody>tr.warning>th,.table>tfoot>tr.warning>th{background-color:#ffe0b2}.table-hover>tbody>tr>td.warning:hover,.table-hover>tbody>tr>th.warning:hover,.table-hover>tbody>tr.warning:hover>td,.table-hover>tbody>tr:hover>.warning,.table-hover>tbody>tr.warning:hover>th{background-color:#ffd699}.table>thead>tr>td.danger,.table>tbody>tr>td.danger,.table>tfoot>tr>td.danger,.table>thead>tr>th.danger,.table>tbody>tr>th.danger,.table>tfoot>tr>th.danger,.table>thead>tr.danger>td,.table>tbody>tr.danger>td,.table>tfoot>tr.danger>td,.table>thead>tr.danger>th,.table>tbody>tr.danger>th,.table>tfoot>tr.danger>th{background-color:#f9bdbb}.table-hover>tbody>tr>td.danger:hover,.table-hover>tbody>tr>th.danger:hover,.table-hover>tbody>tr.danger:hover>td,.table-hover>tbody>tr:hover>.danger,.table-hover>tbody>tr.danger:hover>th{background-color:#f7a6a4}.table-responsive{overflow-x:auto;min-height:0.01%}@media screen and (max-width:767px){.table-responsive{width:100%;margin-bottom:17.25px;overflow-y:hidden;-ms-overflow-style:-ms-autohiding-scrollbar;border:1px solid #dddddd}.table-responsive>.table{margin-bottom:0}.table-responsive>.table>thead>tr>th,.table-responsive>.table>tbody>tr>th,.table-responsive>.table>tfoot>tr>th,.table-responsive>.table>thead>tr>td,.table-responsive>.table>tbody>tr>td,.table-responsive>.table>tfoot>tr>td{white-space:nowrap}.table-responsive>.table-bordered{border:0}.table-responsive>.table-bordered>thead>tr>th:first-child,.table-responsive>.table-bordered>tbody>tr>th:first-child,.table-responsive>.table-bordered>tfoot>tr>th:first-child,.table-responsive>.table-bordered>thead>tr>td:first-child,.table-responsive>.table-bordered>tbody>tr>td:first-child,.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.table-responsive>.table-bordered>thead>tr>th:last-child,.table-responsive>.table-bordered>tbody>tr>th:last-child,.table-responsive>.table-bordered>tfoot>tr>th:last-child,.table-responsive>.table-bordered>thead>tr>td:last-child,.table-responsive>.table-bordered>tbody>tr>td:last-child,.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.table-responsive>.table-bordered>tbody>tr:last-child>th,.table-responsive>.table-bordered>tfoot>tr:last-child>th,.table-responsive>.table-bordered>tbody>tr:last-child>td,.table-responsive>.table-bordered>tfoot>tr:last-child>td{border-bottom:0}}fieldset{padding:0;margin:0;border:0;min-width:0}legend{display:block;width:100%;padding:0;margin-bottom:23px;font-size:19.5px;line-height:inherit;color:#212121;border:0;border-bottom:1px solid #e5e5e5}label{display:inline-block;max-width:100%;margin-bottom:5px;font-weight:bold}input[type="search"]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}input[type="radio"],input[type="checkbox"]{margin:4px 0 0;margin-top:1px \9;line-height:normal}input[type="file"]{display:block}input[type="range"]{display:block;width:100%}select[multiple],select[size]{height:auto}input[type="file"]:focus,input[type="radio"]:focus,input[type="checkbox"]:focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}output{display:block;padding-top:7px;font-size:13px;line-height:1.846;color:#666666}.form-control{display:block;width:100%;height:37px;padding:6px 16px;font-size:13px;line-height:1.846;color:#666666;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:3px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);-webkit-transition:border-color ease-in-out .15s,-webkit-box-shadow ease-in-out .15s;-o-transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s;transition:border-color ease-in-out .15s,box-shadow ease-in-out .15s}.form-control:focus{border-color:#66afe9;outline:0;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 8px rgba(102,175,233,0.6)}.form-control::-moz-placeholder{color:#bbbbbb;opacity:1}.form-control:-ms-input-placeholder{color:#bbbbbb}.form-control::-webkit-input-placeholder{color:#bbbbbb}.form-control::-ms-expand{border:0;background-color:transparent}.form-control[disabled],.form-control[readonly],fieldset[disabled] .form-control{background-color:transparent;opacity:1}.form-control[disabled],fieldset[disabled] .form-control{cursor:not-allowed}textarea.form-control{height:auto}input[type="search"]{-webkit-appearance:none}@media screen and (-webkit-min-device-pixel-ratio:0){input[type="date"].form-control,input[type="time"].form-control,input[type="datetime-local"].form-control,input[type="month"].form-control{line-height:37px}input[type="date"].input-sm,input[type="time"].input-sm,input[type="datetime-local"].input-sm,input[type="month"].input-sm,.input-group-sm input[type="date"],.input-group-sm input[type="time"],.input-group-sm input[type="datetime-local"],.input-group-sm input[type="month"]{line-height:30px}input[type="date"].input-lg,input[type="time"].input-lg,input[type="datetime-local"].input-lg,input[type="month"].input-lg,.input-group-lg input[type="date"],.input-group-lg input[type="time"],.input-group-lg input[type="datetime-local"],.input-group-lg input[type="month"]{line-height:45px}}.form-group{margin-bottom:15px}.radio,.checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.radio label,.checkbox label{min-height:23px;padding-left:20px;margin-bottom:0;font-weight:normal;cursor:pointer}.radio input[type="radio"],.radio-inline input[type="radio"],.checkbox input[type="checkbox"],.checkbox-inline input[type="checkbox"]{position:absolute;margin-left:-20px;margin-top:4px \9}.radio+.radio,.checkbox+.checkbox{margin-top:-5px}.radio-inline,.checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;vertical-align:middle;font-weight:normal;cursor:pointer}.radio-inline+.radio-inline,.checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px}input[type="radio"][disabled],input[type="checkbox"][disabled],input[type="radio"].disabled,input[type="checkbox"].disabled,fieldset[disabled] input[type="radio"],fieldset[disabled] input[type="checkbox"]{cursor:not-allowed}.radio-inline.disabled,.checkbox-inline.disabled,fieldset[disabled] .radio-inline,fieldset[disabled] .checkbox-inline{cursor:not-allowed}.radio.disabled label,.checkbox.disabled label,fieldset[disabled] .radio label,fieldset[disabled] .checkbox label{cursor:not-allowed}.form-control-static{padding-top:7px;padding-bottom:7px;margin-bottom:0;min-height:36px}.form-control-static.input-lg,.form-control-static.input-sm{padding-left:0;padding-right:0}.input-sm{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-sm{height:30px;line-height:30px}textarea.input-sm,select[multiple].input-sm{height:auto}.form-group-sm .form-control{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.form-group-sm select.form-control{height:30px;line-height:30px}.form-group-sm textarea.form-control,.form-group-sm select[multiple].form-control{height:auto}.form-group-sm .form-control-static{height:30px;min-height:35px;padding:6px 10px;font-size:12px;line-height:1.5}.input-lg{height:45px;padding:10px 16px;font-size:17px;line-height:1.3333333;border-radius:3px}select.input-lg{height:45px;line-height:45px}textarea.input-lg,select[multiple].input-lg{height:auto}.form-group-lg .form-control{height:45px;padding:10px 16px;font-size:17px;line-height:1.3333333;border-radius:3px}.form-group-lg select.form-control{height:45px;line-height:45px}.form-group-lg textarea.form-control,.form-group-lg select[multiple].form-control{height:auto}.form-group-lg .form-control-static{height:45px;min-height:40px;padding:11px 16px;font-size:17px;line-height:1.3333333}.has-feedback{position:relative}.has-feedback .form-control{padding-right:46.25px}.form-control-feedback{position:absolute;top:0;right:0;z-index:2;display:block;width:37px;height:37px;line-height:37px;text-align:center;pointer-events:none}.input-lg+.form-control-feedback,.input-group-lg+.form-control-feedback,.form-group-lg .form-control+.form-control-feedback{width:45px;height:45px;line-height:45px}.input-sm+.form-control-feedback,.input-group-sm+.form-control-feedback,.form-group-sm .form-control+.form-control-feedback{width:30px;height:30px;line-height:30px}.has-success .help-block,.has-success .control-label,.has-success .radio,.has-success .checkbox,.has-success .radio-inline,.has-success .checkbox-inline,.has-success.radio label,.has-success.checkbox label,.has-success.radio-inline label,.has-success.checkbox-inline label{color:#4caf50}.has-success .form-control{border-color:#4caf50;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-success .form-control:focus{border-color:#3d8b40;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #92cf94;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #92cf94}.has-success .input-group-addon{color:#4caf50;border-color:#4caf50;background-color:#dff0d8}.has-success .form-control-feedback{color:#4caf50}.has-warning .help-block,.has-warning .control-label,.has-warning .radio,.has-warning .checkbox,.has-warning .radio-inline,.has-warning .checkbox-inline,.has-warning.radio label,.has-warning.checkbox label,.has-warning.radio-inline label,.has-warning.checkbox-inline label{color:#ff9800}.has-warning .form-control{border-color:#ff9800;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-warning .form-control:focus{border-color:#cc7a00;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #ffc166;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #ffc166}.has-warning .input-group-addon{color:#ff9800;border-color:#ff9800;background-color:#ffe0b2}.has-warning .form-control-feedback{color:#ff9800}.has-error .help-block,.has-error .control-label,.has-error .radio,.has-error .checkbox,.has-error .radio-inline,.has-error .checkbox-inline,.has-error.radio label,.has-error.checkbox label,.has-error.radio-inline label,.has-error.checkbox-inline label{color:#e51c23}.has-error .form-control{border-color:#e51c23;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075);box-shadow:inset 0 1px 1px rgba(0,0,0,0.075)}.has-error .form-control:focus{border-color:#b9151b;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #ef787c;box-shadow:inset 0 1px 1px rgba(0,0,0,0.075),0 0 6px #ef787c}.has-error .input-group-addon{color:#e51c23;border-color:#e51c23;background-color:#f9bdbb}.has-error .form-control-feedback{color:#e51c23}.has-feedback label~.form-control-feedback{top:28px}.has-feedback label.sr-only~.form-control-feedback{top:0}.help-block{display:block;margin-top:5px;margin-bottom:10px;color:#a6a6a6}@media (min-width:768px){.form-inline .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.form-inline .form-control{display:inline-block;width:auto;vertical-align:middle}.form-inline .form-control-static{display:inline-block}.form-inline .input-group{display:inline-table;vertical-align:middle}.form-inline .input-group .input-group-addon,.form-inline .input-group .input-group-btn,.form-inline .input-group .form-control{width:auto}.form-inline .input-group>.form-control{width:100%}.form-inline .control-label{margin-bottom:0;vertical-align:middle}.form-inline .radio,.form-inline .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.form-inline .radio label,.form-inline .checkbox label{padding-left:0}.form-inline .radio input[type="radio"],.form-inline .checkbox input[type="checkbox"]{position:relative;margin-left:0}.form-inline .has-feedback .form-control-feedback{top:0}}.form-horizontal .radio,.form-horizontal .checkbox,.form-horizontal .radio-inline,.form-horizontal .checkbox-inline{margin-top:0;margin-bottom:0;padding-top:7px}.form-horizontal .radio,.form-horizontal .checkbox{min-height:30px}.form-horizontal .form-group{margin-left:-15px;margin-right:-15px}@media (min-width:768px){.form-horizontal .control-label{text-align:right;margin-bottom:0;padding-top:7px}}.form-horizontal .has-feedback .form-control-feedback{right:15px}@media (min-width:768px){.form-horizontal .form-group-lg .control-label{padding-top:11px;font-size:17px}}@media (min-width:768px){.form-horizontal .form-group-sm .control-label{padding-top:6px;font-size:12px}}.btn{display:inline-block;margin-bottom:0;font-weight:normal;text-align:center;vertical-align:middle;-ms-touch-action:manipulation;touch-action:manipulation;cursor:pointer;background-image:none;border:1px solid transparent;white-space:nowrap;padding:6px 16px;font-size:13px;line-height:1.846;border-radius:3px;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none}.btn:focus,.btn:active:focus,.btn.active:focus,.btn.focus,.btn:active.focus,.btn.active.focus{outline:thin dotted;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}.btn:hover,.btn:focus,.btn.focus{color:#444444;text-decoration:none}.btn:active,.btn.active{outline:0;background-image:none;-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn.disabled,.btn[disabled],fieldset[disabled] .btn{cursor:not-allowed;opacity:0.65;filter:alpha(opacity=65);-webkit-box-shadow:none;box-shadow:none}a.btn.disabled,fieldset[disabled] a.btn{pointer-events:none}.btn-default{color:#444444;background-color:#ffffff;border-color:transparent}.btn-default:focus,.btn-default.focus{color:#444444;background-color:#e6e6e6;border-color:rgba(0,0,0,0)}.btn-default:hover{color:#444444;background-color:#e6e6e6;border-color:rgba(0,0,0,0)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{color:#444444;background-color:#e6e6e6;border-color:rgba(0,0,0,0)}.btn-default:active:hover,.btn-default.active:hover,.open>.dropdown-toggle.btn-default:hover,.btn-default:active:focus,.btn-default.active:focus,.open>.dropdown-toggle.btn-default:focus,.btn-default:active.focus,.btn-default.active.focus,.open>.dropdown-toggle.btn-default.focus{color:#444444;background-color:#d4d4d4;border-color:rgba(0,0,0,0)}.btn-default:active,.btn-default.active,.open>.dropdown-toggle.btn-default{background-image:none}.btn-default.disabled:hover,.btn-default[disabled]:hover,fieldset[disabled] .btn-default:hover,.btn-default.disabled:focus,.btn-default[disabled]:focus,fieldset[disabled] .btn-default:focus,.btn-default.disabled.focus,.btn-default[disabled].focus,fieldset[disabled] .btn-default.focus{background-color:#ffffff;border-color:transparent}.btn-default .badge{color:#ffffff;background-color:#444444}.btn-primary{color:#ffffff;background-color:#2196f3;border-color:transparent}.btn-primary:focus,.btn-primary.focus{color:#ffffff;background-color:#0c7cd5;border-color:rgba(0,0,0,0)}.btn-primary:hover{color:#ffffff;background-color:#0c7cd5;border-color:rgba(0,0,0,0)}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{color:#ffffff;background-color:#0c7cd5;border-color:rgba(0,0,0,0)}.btn-primary:active:hover,.btn-primary.active:hover,.open>.dropdown-toggle.btn-primary:hover,.btn-primary:active:focus,.btn-primary.active:focus,.open>.dropdown-toggle.btn-primary:focus,.btn-primary:active.focus,.btn-primary.active.focus,.open>.dropdown-toggle.btn-primary.focus{color:#ffffff;background-color:#0a68b4;border-color:rgba(0,0,0,0)}.btn-primary:active,.btn-primary.active,.open>.dropdown-toggle.btn-primary{background-image:none}.btn-primary.disabled:hover,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary:hover,.btn-primary.disabled:focus,.btn-primary[disabled]:focus,fieldset[disabled] .btn-primary:focus,.btn-primary.disabled.focus,.btn-primary[disabled].focus,fieldset[disabled] .btn-primary.focus{background-color:#2196f3;border-color:transparent}.btn-primary .badge{color:#2196f3;background-color:#ffffff}.btn-success{color:#ffffff;background-color:#4caf50;border-color:transparent}.btn-success:focus,.btn-success.focus{color:#ffffff;background-color:#3d8b40;border-color:rgba(0,0,0,0)}.btn-success:hover{color:#ffffff;background-color:#3d8b40;border-color:rgba(0,0,0,0)}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{color:#ffffff;background-color:#3d8b40;border-color:rgba(0,0,0,0)}.btn-success:active:hover,.btn-success.active:hover,.open>.dropdown-toggle.btn-success:hover,.btn-success:active:focus,.btn-success.active:focus,.open>.dropdown-toggle.btn-success:focus,.btn-success:active.focus,.btn-success.active.focus,.open>.dropdown-toggle.btn-success.focus{color:#ffffff;background-color:#327334;border-color:rgba(0,0,0,0)}.btn-success:active,.btn-success.active,.open>.dropdown-toggle.btn-success{background-image:none}.btn-success.disabled:hover,.btn-success[disabled]:hover,fieldset[disabled] .btn-success:hover,.btn-success.disabled:focus,.btn-success[disabled]:focus,fieldset[disabled] .btn-success:focus,.btn-success.disabled.focus,.btn-success[disabled].focus,fieldset[disabled] .btn-success.focus{background-color:#4caf50;border-color:transparent}.btn-success .badge{color:#4caf50;background-color:#ffffff}.btn-info{color:#ffffff;background-color:#9c27b0;border-color:transparent}.btn-info:focus,.btn-info.focus{color:#ffffff;background-color:#771e86;border-color:rgba(0,0,0,0)}.btn-info:hover{color:#ffffff;background-color:#771e86;border-color:rgba(0,0,0,0)}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{color:#ffffff;background-color:#771e86;border-color:rgba(0,0,0,0)}.btn-info:active:hover,.btn-info.active:hover,.open>.dropdown-toggle.btn-info:hover,.btn-info:active:focus,.btn-info.active:focus,.open>.dropdown-toggle.btn-info:focus,.btn-info:active.focus,.btn-info.active.focus,.open>.dropdown-toggle.btn-info.focus{color:#ffffff;background-color:#5d1769;border-color:rgba(0,0,0,0)}.btn-info:active,.btn-info.active,.open>.dropdown-toggle.btn-info{background-image:none}.btn-info.disabled:hover,.btn-info[disabled]:hover,fieldset[disabled] .btn-info:hover,.btn-info.disabled:focus,.btn-info[disabled]:focus,fieldset[disabled] .btn-info:focus,.btn-info.disabled.focus,.btn-info[disabled].focus,fieldset[disabled] .btn-info.focus{background-color:#9c27b0;border-color:transparent}.btn-info .badge{color:#9c27b0;background-color:#ffffff}.btn-warning{color:#ffffff;background-color:#ff9800;border-color:transparent}.btn-warning:focus,.btn-warning.focus{color:#ffffff;background-color:#cc7a00;border-color:rgba(0,0,0,0)}.btn-warning:hover{color:#ffffff;background-color:#cc7a00;border-color:rgba(0,0,0,0)}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{color:#ffffff;background-color:#cc7a00;border-color:rgba(0,0,0,0)}.btn-warning:active:hover,.btn-warning.active:hover,.open>.dropdown-toggle.btn-warning:hover,.btn-warning:active:focus,.btn-warning.active:focus,.open>.dropdown-toggle.btn-warning:focus,.btn-warning:active.focus,.btn-warning.active.focus,.open>.dropdown-toggle.btn-warning.focus{color:#ffffff;background-color:#a86400;border-color:rgba(0,0,0,0)}.btn-warning:active,.btn-warning.active,.open>.dropdown-toggle.btn-warning{background-image:none}.btn-warning.disabled:hover,.btn-warning[disabled]:hover,fieldset[disabled] .btn-warning:hover,.btn-warning.disabled:focus,.btn-warning[disabled]:focus,fieldset[disabled] .btn-warning:focus,.btn-warning.disabled.focus,.btn-warning[disabled].focus,fieldset[disabled] .btn-warning.focus{background-color:#ff9800;border-color:transparent}.btn-warning .badge{color:#ff9800;background-color:#ffffff}.btn-danger{color:#ffffff;background-color:#e51c23;border-color:transparent}.btn-danger:focus,.btn-danger.focus{color:#ffffff;background-color:#b9151b;border-color:rgba(0,0,0,0)}.btn-danger:hover{color:#ffffff;background-color:#b9151b;border-color:rgba(0,0,0,0)}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{color:#ffffff;background-color:#b9151b;border-color:rgba(0,0,0,0)}.btn-danger:active:hover,.btn-danger.active:hover,.open>.dropdown-toggle.btn-danger:hover,.btn-danger:active:focus,.btn-danger.active:focus,.open>.dropdown-toggle.btn-danger:focus,.btn-danger:active.focus,.btn-danger.active.focus,.open>.dropdown-toggle.btn-danger.focus{color:#ffffff;background-color:#991216;border-color:rgba(0,0,0,0)}.btn-danger:active,.btn-danger.active,.open>.dropdown-toggle.btn-danger{background-image:none}.btn-danger.disabled:hover,.btn-danger[disabled]:hover,fieldset[disabled] .btn-danger:hover,.btn-danger.disabled:focus,.btn-danger[disabled]:focus,fieldset[disabled] .btn-danger:focus,.btn-danger.disabled.focus,.btn-danger[disabled].focus,fieldset[disabled] .btn-danger.focus{background-color:#e51c23;border-color:transparent}.btn-danger .badge{color:#e51c23;background-color:#ffffff}.btn-link{color:#2196f3;font-weight:normal;border-radius:0}.btn-link,.btn-link:active,.btn-link.active,.btn-link[disabled],fieldset[disabled] .btn-link{background-color:transparent;-webkit-box-shadow:none;box-shadow:none}.btn-link,.btn-link:hover,.btn-link:focus,.btn-link:active{border-color:transparent}.btn-link:hover,.btn-link:focus{color:#0a6ebd;text-decoration:underline;background-color:transparent}.btn-link[disabled]:hover,fieldset[disabled] .btn-link:hover,.btn-link[disabled]:focus,fieldset[disabled] .btn-link:focus{color:#bbbbbb;text-decoration:none}.btn-lg,.btn-group-lg>.btn{padding:10px 16px;font-size:17px;line-height:1.3333333;border-radius:3px}.btn-sm,.btn-group-sm>.btn{padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}.btn-xs,.btn-group-xs>.btn{padding:1px 5px;font-size:12px;line-height:1.5;border-radius:3px}.btn-block{display:block;width:100%}.btn-block+.btn-block{margin-top:5px}input[type="submit"].btn-block,input[type="reset"].btn-block,input[type="button"].btn-block{width:100%}.fade{opacity:0;-webkit-transition:opacity 0.15s linear;-o-transition:opacity 0.15s linear;transition:opacity 0.15s linear}.fade.in{opacity:1}.collapse{display:none}.collapse.in{display:block}tr.collapse.in{display:table-row}tbody.collapse.in{display:table-row-group}.collapsing{position:relative;height:0;overflow:hidden;-webkit-transition-property:height, visibility;-o-transition-property:height, visibility;transition-property:height, visibility;-webkit-transition-duration:0.35s;-o-transition-duration:0.35s;transition-duration:0.35s;-webkit-transition-timing-function:ease;-o-transition-timing-function:ease;transition-timing-function:ease}.caret{display:inline-block;width:0;height:0;margin-left:2px;vertical-align:middle;border-top:4px dashed;border-top:4px solid \9;border-right:4px solid transparent;border-left:4px solid transparent}.dropup,.dropdown{position:relative}.dropdown-toggle:focus{outline:0}.dropdown-menu{position:absolute;top:100%;left:0;z-index:1000;display:none;float:left;min-width:160px;padding:5px 0;margin:2px 0 0;list-style:none;font-size:13px;text-align:left;background-color:#ffffff;border:1px solid #cccccc;border:1px solid rgba(0,0,0,0.15);border-radius:3px;-webkit-box-shadow:0 6px 12px rgba(0,0,0,0.175);box-shadow:0 6px 12px rgba(0,0,0,0.175);-webkit-background-clip:padding-box;background-clip:padding-box}.dropdown-menu.pull-right{right:0;left:auto}.dropdown-menu .divider{height:1px;margin:10.5px 0;overflow:hidden;background-color:#e5e5e5}.dropdown-menu>li>a{display:block;padding:3px 20px;clear:both;font-weight:normal;line-height:1.846;color:#666666;white-space:nowrap}.dropdown-menu>li>a:hover,.dropdown-menu>li>a:focus{text-decoration:none;color:#141414;background-color:#eeeeee}.dropdown-menu>.active>a,.dropdown-menu>.active>a:hover,.dropdown-menu>.active>a:focus{color:#ffffff;text-decoration:none;outline:0;background-color:#2196f3}.dropdown-menu>.disabled>a,.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{color:#bbbbbb}.dropdown-menu>.disabled>a:hover,.dropdown-menu>.disabled>a:focus{text-decoration:none;background-color:transparent;background-image:none;filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);cursor:not-allowed}.open>.dropdown-menu{display:block}.open>a{outline:0}.dropdown-menu-right{left:auto;right:0}.dropdown-menu-left{left:0;right:auto}.dropdown-header{display:block;padding:3px 20px;font-size:12px;line-height:1.846;color:#bbbbbb;white-space:nowrap}.dropdown-backdrop{position:fixed;left:0;right:0;bottom:0;top:0;z-index:990}.pull-right>.dropdown-menu{right:0;left:auto}.dropup .caret,.navbar-fixed-bottom .dropdown .caret{border-top:0;border-bottom:4px dashed;border-bottom:4px solid \9;content:""}.dropup .dropdown-menu,.navbar-fixed-bottom .dropdown .dropdown-menu{top:auto;bottom:100%;margin-bottom:2px}@media (min-width:768px){.navbar-right .dropdown-menu{left:auto;right:0}.navbar-right .dropdown-menu-left{left:0;right:auto}}.btn-group,.btn-group-vertical{position:relative;display:inline-block;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;float:left}.btn-group>.btn:hover,.btn-group-vertical>.btn:hover,.btn-group>.btn:focus,.btn-group-vertical>.btn:focus,.btn-group>.btn:active,.btn-group-vertical>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn.active{z-index:2}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:-1px}.btn-toolbar{margin-left:-5px}.btn-toolbar .btn,.btn-toolbar .btn-group,.btn-toolbar .input-group{float:left}.btn-toolbar>.btn,.btn-toolbar>.btn-group,.btn-toolbar>.input-group{margin-left:5px}.btn-group>.btn:not(:first-child):not(:last-child):not(.dropdown-toggle){border-radius:0}.btn-group>.btn:first-child{margin-left:0}.btn-group>.btn:first-child:not(:last-child):not(.dropdown-toggle){border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn:last-child:not(:first-child),.btn-group>.dropdown-toggle:not(:first-child){border-bottom-left-radius:0;border-top-left-radius:0}.btn-group>.btn-group{float:left}.btn-group>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-top-right-radius:0}.btn-group>.btn-group:last-child:not(:first-child)>.btn:first-child{border-bottom-left-radius:0;border-top-left-radius:0}.btn-group .dropdown-toggle:active,.btn-group.open .dropdown-toggle{outline:0}.btn-group>.btn+.dropdown-toggle{padding-left:8px;padding-right:8px}.btn-group>.btn-lg+.dropdown-toggle{padding-left:12px;padding-right:12px}.btn-group.open .dropdown-toggle{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,0.125);box-shadow:inset 0 3px 5px rgba(0,0,0,0.125)}.btn-group.open .dropdown-toggle.btn-link{-webkit-box-shadow:none;box-shadow:none}.btn .caret{margin-left:0}.btn-lg .caret{border-width:5px 5px 0;border-bottom-width:0}.dropup .btn-lg .caret{border-width:0 5px 5px}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group,.btn-group-vertical>.btn-group>.btn{display:block;float:none;width:100%;max-width:100%}.btn-group-vertical>.btn-group>.btn{float:none}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:-1px;margin-left:0}.btn-group-vertical>.btn:not(:first-child):not(:last-child){border-radius:0}.btn-group-vertical>.btn:first-child:not(:last-child){border-top-right-radius:3px;border-top-left-radius:3px;border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn:last-child:not(:first-child){border-top-right-radius:0;border-top-left-radius:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn{border-radius:0}.btn-group-vertical>.btn-group:first-child:not(:last-child)>.btn:last-child,.btn-group-vertical>.btn-group:first-child:not(:last-child)>.dropdown-toggle{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn-group:last-child:not(:first-child)>.btn:first-child{border-top-right-radius:0;border-top-left-radius:0}.btn-group-justified{display:table;width:100%;table-layout:fixed;border-collapse:separate}.btn-group-justified>.btn,.btn-group-justified>.btn-group{float:none;display:table-cell;width:1%}.btn-group-justified>.btn-group .btn{width:100%}.btn-group-justified>.btn-group .dropdown-menu{left:auto}[data-toggle="buttons"]>.btn input[type="radio"],[data-toggle="buttons"]>.btn-group>.btn input[type="radio"],[data-toggle="buttons"]>.btn input[type="checkbox"],[data-toggle="buttons"]>.btn-group>.btn input[type="checkbox"]{position:absolute;clip:rect(0, 0, 0, 0);pointer-events:none}.input-group{position:relative;display:table;border-collapse:separate}.input-group[class*="col-"]{float:none;padding-left:0;padding-right:0}.input-group .form-control{position:relative;z-index:2;float:left;width:100%;margin-bottom:0}.input-group .form-control:focus{z-index:3}.input-group-lg>.form-control,.input-group-lg>.input-group-addon,.input-group-lg>.input-group-btn>.btn{height:45px;padding:10px 16px;font-size:17px;line-height:1.3333333;border-radius:3px}select.input-group-lg>.form-control,select.input-group-lg>.input-group-addon,select.input-group-lg>.input-group-btn>.btn{height:45px;line-height:45px}textarea.input-group-lg>.form-control,textarea.input-group-lg>.input-group-addon,textarea.input-group-lg>.input-group-btn>.btn,select[multiple].input-group-lg>.form-control,select[multiple].input-group-lg>.input-group-addon,select[multiple].input-group-lg>.input-group-btn>.btn{height:auto}.input-group-sm>.form-control,.input-group-sm>.input-group-addon,.input-group-sm>.input-group-btn>.btn{height:30px;padding:5px 10px;font-size:12px;line-height:1.5;border-radius:3px}select.input-group-sm>.form-control,select.input-group-sm>.input-group-addon,select.input-group-sm>.input-group-btn>.btn{height:30px;line-height:30px}textarea.input-group-sm>.form-control,textarea.input-group-sm>.input-group-addon,textarea.input-group-sm>.input-group-btn>.btn,select[multiple].input-group-sm>.form-control,select[multiple].input-group-sm>.input-group-addon,select[multiple].input-group-sm>.input-group-btn>.btn{height:auto}.input-group-addon,.input-group-btn,.input-group .form-control{display:table-cell}.input-group-addon:not(:first-child):not(:last-child),.input-group-btn:not(:first-child):not(:last-child),.input-group .form-control:not(:first-child):not(:last-child){border-radius:0}.input-group-addon,.input-group-btn{width:1%;white-space:nowrap;vertical-align:middle}.input-group-addon{padding:6px 16px;font-size:13px;font-weight:normal;line-height:1;color:#666666;text-align:center;background-color:transparent;border:1px solid transparent;border-radius:3px}.input-group-addon.input-sm{padding:5px 10px;font-size:12px;border-radius:3px}.input-group-addon.input-lg{padding:10px 16px;font-size:17px;border-radius:3px}.input-group-addon input[type="radio"],.input-group-addon input[type="checkbox"]{margin-top:0}.input-group .form-control:first-child,.input-group-addon:first-child,.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group>.btn,.input-group-btn:first-child>.dropdown-toggle,.input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle),.input-group-btn:last-child>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-top-right-radius:0}.input-group-addon:first-child{border-right:0}.input-group .form-control:last-child,.input-group-addon:last-child,.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group>.btn,.input-group-btn:last-child>.dropdown-toggle,.input-group-btn:first-child>.btn:not(:first-child),.input-group-btn:first-child>.btn-group:not(:first-child)>.btn{border-bottom-left-radius:0;border-top-left-radius:0}.input-group-addon:last-child{border-left:0}.input-group-btn{position:relative;font-size:0;white-space:nowrap}.input-group-btn>.btn{position:relative}.input-group-btn>.btn+.btn{margin-left:-1px}.input-group-btn>.btn:hover,.input-group-btn>.btn:focus,.input-group-btn>.btn:active{z-index:2}.input-group-btn:first-child>.btn,.input-group-btn:first-child>.btn-group{margin-right:-1px}.input-group-btn:last-child>.btn,.input-group-btn:last-child>.btn-group{z-index:2;margin-left:-1px}.nav{margin-bottom:0;padding-left:0;list-style:none}.nav>li{position:relative;display:block}.nav>li>a{position:relative;display:block;padding:10px 15px}.nav>li>a:hover,.nav>li>a:focus{text-decoration:none;background-color:#eeeeee}.nav>li.disabled>a{color:#bbbbbb}.nav>li.disabled>a:hover,.nav>li.disabled>a:focus{color:#bbbbbb;text-decoration:none;background-color:transparent;cursor:not-allowed}.nav .open>a,.nav .open>a:hover,.nav .open>a:focus{background-color:#eeeeee;border-color:#2196f3}.nav .nav-divider{height:1px;margin:10.5px 0;overflow:hidden;background-color:#e5e5e5}.nav>li>a>img{max-width:none}.nav-tabs{border-bottom:1px solid transparent}.nav-tabs>li{float:left;margin-bottom:-1px}.nav-tabs>li>a{margin-right:2px;line-height:1.846;border:1px solid transparent;border-radius:3px 3px 0 0}.nav-tabs>li>a:hover{border-color:#eeeeee #eeeeee transparent}.nav-tabs>li.active>a,.nav-tabs>li.active>a:hover,.nav-tabs>li.active>a:focus{color:#666666;background-color:transparent;border:1px solid transparent;border-bottom-color:transparent;cursor:default}.nav-tabs.nav-justified{width:100%;border-bottom:0}.nav-tabs.nav-justified>li{float:none}.nav-tabs.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-tabs.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-tabs.nav-justified>li{display:table-cell;width:1%}.nav-tabs.nav-justified>li>a{margin-bottom:0}}.nav-tabs.nav-justified>li>a{margin-right:0;border-radius:3px}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border:1px solid transparent}@media (min-width:768px){.nav-tabs.nav-justified>li>a{border-bottom:1px solid transparent;border-radius:3px 3px 0 0}.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border-bottom-color:#ffffff}}.nav-pills>li{float:left}.nav-pills>li>a{border-radius:3px}.nav-pills>li+li{margin-left:2px}.nav-pills>li.active>a,.nav-pills>li.active>a:hover,.nav-pills>li.active>a:focus{color:#ffffff;background-color:#2196f3}.nav-stacked>li{float:none}.nav-stacked>li+li{margin-top:2px;margin-left:0}.nav-justified{width:100%}.nav-justified>li{float:none}.nav-justified>li>a{text-align:center;margin-bottom:5px}.nav-justified>.dropdown .dropdown-menu{top:auto;left:auto}@media (min-width:768px){.nav-justified>li{display:table-cell;width:1%}.nav-justified>li>a{margin-bottom:0}}.nav-tabs-justified{border-bottom:0}.nav-tabs-justified>li>a{margin-right:0;border-radius:3px}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border:1px solid transparent}@media (min-width:768px){.nav-tabs-justified>li>a{border-bottom:1px solid transparent;border-radius:3px 3px 0 0}.nav-tabs-justified>.active>a,.nav-tabs-justified>.active>a:hover,.nav-tabs-justified>.active>a:focus{border-bottom-color:#ffffff}}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.nav-tabs .dropdown-menu{margin-top:-1px;border-top-right-radius:0;border-top-left-radius:0}.navbar{position:relative;min-height:64px;margin-bottom:23px;border:1px solid transparent}@media (min-width:768px){.navbar{border-radius:3px}}@media (min-width:768px){.navbar-header{float:left}}.navbar-collapse{overflow-x:visible;padding-right:15px;padding-left:15px;border-top:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1);-webkit-overflow-scrolling:touch}.navbar-collapse.in{overflow-y:auto}@media (min-width:768px){.navbar-collapse{width:auto;border-top:0;-webkit-box-shadow:none;box-shadow:none}.navbar-collapse.collapse{display:block !important;height:auto !important;padding-bottom:0;overflow:visible !important}.navbar-collapse.in{overflow-y:visible}.navbar-fixed-top .navbar-collapse,.navbar-static-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{padding-left:0;padding-right:0}}.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:340px}@media (max-device-width:480px) and (orientation:landscape){.navbar-fixed-top .navbar-collapse,.navbar-fixed-bottom .navbar-collapse{max-height:200px}}.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:-15px;margin-left:-15px}@media (min-width:768px){.container>.navbar-header,.container-fluid>.navbar-header,.container>.navbar-collapse,.container-fluid>.navbar-collapse{margin-right:0;margin-left:0}}.navbar-static-top{z-index:1000;border-width:0 0 1px}@media (min-width:768px){.navbar-static-top{border-radius:0}}.navbar-fixed-top,.navbar-fixed-bottom{position:fixed;right:0;left:0;z-index:1030}@media (min-width:768px){.navbar-fixed-top,.navbar-fixed-bottom{border-radius:0}}.navbar-fixed-top{top:0;border-width:0 0 1px}.navbar-fixed-bottom{bottom:0;margin-bottom:0;border-width:1px 0 0}.navbar-brand{float:left;padding:20.5px 15px;font-size:17px;line-height:23px;height:64px}.navbar-brand:hover,.navbar-brand:focus{text-decoration:none}.navbar-brand>img{display:block}@media (min-width:768px){.navbar>.container .navbar-brand,.navbar>.container-fluid .navbar-brand{margin-left:-15px}}.navbar-toggle{position:relative;float:right;margin-right:15px;padding:9px 10px;margin-top:15px;margin-bottom:15px;background-color:transparent;background-image:none;border:1px solid transparent;border-radius:3px}.navbar-toggle:focus{outline:0}.navbar-toggle .icon-bar{display:block;width:22px;height:2px;border-radius:1px}.navbar-toggle .icon-bar+.icon-bar{margin-top:4px}@media (min-width:768px){.navbar-toggle{display:none}}.navbar-nav{margin:10.25px -15px}.navbar-nav>li>a{padding-top:10px;padding-bottom:10px;line-height:23px}@media (max-width:767px){.navbar-nav .open .dropdown-menu{position:static;float:none;width:auto;margin-top:0;background-color:transparent;border:0;-webkit-box-shadow:none;box-shadow:none}.navbar-nav .open .dropdown-menu>li>a,.navbar-nav .open .dropdown-menu .dropdown-header{padding:5px 15px 5px 25px}.navbar-nav .open .dropdown-menu>li>a{line-height:23px}.navbar-nav .open .dropdown-menu>li>a:hover,.navbar-nav .open .dropdown-menu>li>a:focus{background-image:none}}@media (min-width:768px){.navbar-nav{float:left;margin:0}.navbar-nav>li{float:left}.navbar-nav>li>a{padding-top:20.5px;padding-bottom:20.5px}}.navbar-form{margin-left:-15px;margin-right:-15px;padding:10px 15px;border-top:1px solid transparent;border-bottom:1px solid transparent;-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);box-shadow:inset 0 1px 0 rgba(255,255,255,0.1),0 1px 0 rgba(255,255,255,0.1);margin-top:13.5px;margin-bottom:13.5px}@media (min-width:768px){.navbar-form .form-group{display:inline-block;margin-bottom:0;vertical-align:middle}.navbar-form .form-control{display:inline-block;width:auto;vertical-align:middle}.navbar-form .form-control-static{display:inline-block}.navbar-form .input-group{display:inline-table;vertical-align:middle}.navbar-form .input-group .input-group-addon,.navbar-form .input-group .input-group-btn,.navbar-form .input-group .form-control{width:auto}.navbar-form .input-group>.form-control{width:100%}.navbar-form .control-label{margin-bottom:0;vertical-align:middle}.navbar-form .radio,.navbar-form .checkbox{display:inline-block;margin-top:0;margin-bottom:0;vertical-align:middle}.navbar-form .radio label,.navbar-form .checkbox label{padding-left:0}.navbar-form .radio input[type="radio"],.navbar-form .checkbox input[type="checkbox"]{position:relative;margin-left:0}.navbar-form .has-feedback .form-control-feedback{top:0}}@media (max-width:767px){.navbar-form .form-group{margin-bottom:5px}.navbar-form .form-group:last-child{margin-bottom:0}}@media (min-width:768px){.navbar-form{width:auto;border:0;margin-left:0;margin-right:0;padding-top:0;padding-bottom:0;-webkit-box-shadow:none;box-shadow:none}}.navbar-nav>li>.dropdown-menu{margin-top:0;border-top-right-radius:0;border-top-left-radius:0}.navbar-fixed-bottom .navbar-nav>li>.dropdown-menu{margin-bottom:0;border-top-right-radius:3px;border-top-left-radius:3px;border-bottom-right-radius:0;border-bottom-left-radius:0}.navbar-btn{margin-top:13.5px;margin-bottom:13.5px}.navbar-btn.btn-sm{margin-top:17px;margin-bottom:17px}.navbar-btn.btn-xs{margin-top:21px;margin-bottom:21px}.navbar-text{margin-top:20.5px;margin-bottom:20.5px}@media (min-width:768px){.navbar-text{float:left;margin-left:15px;margin-right:15px}}@media (min-width:768px){.navbar-left{float:left !important}.navbar-right{float:right !important;margin-right:-15px}.navbar-right~.navbar-right{margin-right:0}}.navbar-default{background-color:#ffffff;border-color:transparent}.navbar-default .navbar-brand{color:#666666}.navbar-default .navbar-brand:hover,.navbar-default .navbar-brand:focus{color:#212121;background-color:transparent}.navbar-default .navbar-text{color:#bbbbbb}.navbar-default .navbar-nav>li>a{color:#666666}.navbar-default .navbar-nav>li>a:hover,.navbar-default .navbar-nav>li>a:focus{color:#212121;background-color:transparent}.navbar-default .navbar-nav>.active>a,.navbar-default .navbar-nav>.active>a:hover,.navbar-default .navbar-nav>.active>a:focus{color:#212121;background-color:#eeeeee}.navbar-default .navbar-nav>.disabled>a,.navbar-default .navbar-nav>.disabled>a:hover,.navbar-default .navbar-nav>.disabled>a:focus{color:#cccccc;background-color:transparent}.navbar-default .navbar-toggle{border-color:transparent}.navbar-default .navbar-toggle:hover,.navbar-default .navbar-toggle:focus{background-color:transparent}.navbar-default .navbar-toggle .icon-bar{background-color:rgba(0,0,0,0.5)}.navbar-default .navbar-collapse,.navbar-default .navbar-form{border-color:transparent}.navbar-default .navbar-nav>.open>a,.navbar-default .navbar-nav>.open>a:hover,.navbar-default .navbar-nav>.open>a:focus{background-color:#eeeeee;color:#212121}@media (max-width:767px){.navbar-default .navbar-nav .open .dropdown-menu>li>a{color:#666666}.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>li>a:focus{color:#212121;background-color:transparent}.navbar-default .navbar-nav .open .dropdown-menu>.active>a,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.active>a:focus{color:#212121;background-color:#eeeeee}.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-default .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#cccccc;background-color:transparent}}.navbar-default .navbar-link{color:#666666}.navbar-default .navbar-link:hover{color:#212121}.navbar-default .btn-link{color:#666666}.navbar-default .btn-link:hover,.navbar-default .btn-link:focus{color:#212121}.navbar-default .btn-link[disabled]:hover,fieldset[disabled] .navbar-default .btn-link:hover,.navbar-default .btn-link[disabled]:focus,fieldset[disabled] .navbar-default .btn-link:focus{color:#cccccc}.navbar-inverse{background-color:#2196f3;border-color:transparent}.navbar-inverse .navbar-brand{color:#b2dbfb}.navbar-inverse .navbar-brand:hover,.navbar-inverse .navbar-brand:focus{color:#ffffff;background-color:transparent}.navbar-inverse .navbar-text{color:#bbbbbb}.navbar-inverse .navbar-nav>li>a{color:#b2dbfb}.navbar-inverse .navbar-nav>li>a:hover,.navbar-inverse .navbar-nav>li>a:focus{color:#ffffff;background-color:transparent}.navbar-inverse .navbar-nav>.active>a,.navbar-inverse .navbar-nav>.active>a:hover,.navbar-inverse .navbar-nav>.active>a:focus{color:#ffffff;background-color:#0c7cd5}.navbar-inverse .navbar-nav>.disabled>a,.navbar-inverse .navbar-nav>.disabled>a:hover,.navbar-inverse .navbar-nav>.disabled>a:focus{color:#444444;background-color:transparent}.navbar-inverse .navbar-toggle{border-color:transparent}.navbar-inverse .navbar-toggle:hover,.navbar-inverse .navbar-toggle:focus{background-color:transparent}.navbar-inverse .navbar-toggle .icon-bar{background-color:rgba(0,0,0,0.5)}.navbar-inverse .navbar-collapse,.navbar-inverse .navbar-form{border-color:#0c84e4}.navbar-inverse .navbar-nav>.open>a,.navbar-inverse .navbar-nav>.open>a:hover,.navbar-inverse .navbar-nav>.open>a:focus{background-color:#0c7cd5;color:#ffffff}@media (max-width:767px){.navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header{border-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu .divider{background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a{color:#b2dbfb}.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus{color:#ffffff;background-color:transparent}.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.active>a:focus{color:#ffffff;background-color:#0c7cd5}.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:hover,.navbar-inverse .navbar-nav .open .dropdown-menu>.disabled>a:focus{color:#444444;background-color:transparent}}.navbar-inverse .navbar-link{color:#b2dbfb}.navbar-inverse .navbar-link:hover{color:#ffffff}.navbar-inverse .btn-link{color:#b2dbfb}.navbar-inverse .btn-link:hover,.navbar-inverse .btn-link:focus{color:#ffffff}.navbar-inverse .btn-link[disabled]:hover,fieldset[disabled] .navbar-inverse .btn-link:hover,.navbar-inverse .btn-link[disabled]:focus,fieldset[disabled] .navbar-inverse .btn-link:focus{color:#444444}.breadcrumb{padding:8px 15px;margin-bottom:23px;list-style:none;background-color:#f5f5f5;border-radius:3px}.breadcrumb>li{display:inline-block}.breadcrumb>li+li:before{content:"/\00a0";padding:0 5px;color:#cccccc}.breadcrumb>.active{color:#bbbbbb}.pagination{display:inline-block;padding-left:0;margin:23px 0;border-radius:3px}.pagination>li{display:inline}.pagination>li>a,.pagination>li>span{position:relative;float:left;padding:6px 16px;line-height:1.846;text-decoration:none;color:#2196f3;background-color:#ffffff;border:1px solid #dddddd;margin-left:-1px}.pagination>li:first-child>a,.pagination>li:first-child>span{margin-left:0;border-bottom-left-radius:3px;border-top-left-radius:3px}.pagination>li:last-child>a,.pagination>li:last-child>span{border-bottom-right-radius:3px;border-top-right-radius:3px}.pagination>li>a:hover,.pagination>li>span:hover,.pagination>li>a:focus,.pagination>li>span:focus{z-index:2;color:#0a6ebd;background-color:#eeeeee;border-color:#dddddd}.pagination>.active>a,.pagination>.active>span,.pagination>.active>a:hover,.pagination>.active>span:hover,.pagination>.active>a:focus,.pagination>.active>span:focus{z-index:3;color:#ffffff;background-color:#2196f3;border-color:#2196f3;cursor:default}.pagination>.disabled>span,.pagination>.disabled>span:hover,.pagination>.disabled>span:focus,.pagination>.disabled>a,.pagination>.disabled>a:hover,.pagination>.disabled>a:focus{color:#bbbbbb;background-color:#ffffff;border-color:#dddddd;cursor:not-allowed}.pagination-lg>li>a,.pagination-lg>li>span{padding:10px 16px;font-size:17px;line-height:1.3333333}.pagination-lg>li:first-child>a,.pagination-lg>li:first-child>span{border-bottom-left-radius:3px;border-top-left-radius:3px}.pagination-lg>li:last-child>a,.pagination-lg>li:last-child>span{border-bottom-right-radius:3px;border-top-right-radius:3px}.pagination-sm>li>a,.pagination-sm>li>span{padding:5px 10px;font-size:12px;line-height:1.5}.pagination-sm>li:first-child>a,.pagination-sm>li:first-child>span{border-bottom-left-radius:3px;border-top-left-radius:3px}.pagination-sm>li:last-child>a,.pagination-sm>li:last-child>span{border-bottom-right-radius:3px;border-top-right-radius:3px}.pager{padding-left:0;margin:23px 0;list-style:none;text-align:center}.pager li{display:inline}.pager li>a,.pager li>span{display:inline-block;padding:5px 14px;background-color:#ffffff;border:1px solid #dddddd;border-radius:15px}.pager li>a:hover,.pager li>a:focus{text-decoration:none;background-color:#eeeeee}.pager .next>a,.pager .next>span{float:right}.pager .previous>a,.pager .previous>span{float:left}.pager .disabled>a,.pager .disabled>a:hover,.pager .disabled>a:focus,.pager .disabled>span{color:#bbbbbb;background-color:#ffffff;cursor:not-allowed}.label{display:inline;padding:.2em .6em .3em;font-size:75%;font-weight:bold;line-height:1;color:#ffffff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}a.label:hover,a.label:focus{color:#ffffff;text-decoration:none;cursor:pointer}.label:empty{display:none}.btn .label{position:relative;top:-1px}.label-default{background-color:#bbbbbb}.label-default[href]:hover,.label-default[href]:focus{background-color:#a2a2a2}.label-primary{background-color:#2196f3}.label-primary[href]:hover,.label-primary[href]:focus{background-color:#0c7cd5}.label-success{background-color:#4caf50}.label-success[href]:hover,.label-success[href]:focus{background-color:#3d8b40}.label-info{background-color:#9c27b0}.label-info[href]:hover,.label-info[href]:focus{background-color:#771e86}.label-warning{background-color:#ff9800}.label-warning[href]:hover,.label-warning[href]:focus{background-color:#cc7a00}.label-danger{background-color:#e51c23}.label-danger[href]:hover,.label-danger[href]:focus{background-color:#b9151b}.badge{display:inline-block;min-width:10px;padding:3px 7px;font-size:12px;font-weight:normal;color:#ffffff;line-height:1;vertical-align:middle;white-space:nowrap;text-align:center;background-color:#bbbbbb;border-radius:10px}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.btn-xs .badge,.btn-group-xs>.btn .badge{top:0;padding:1px 5px}a.badge:hover,a.badge:focus{color:#ffffff;text-decoration:none;cursor:pointer}.list-group-item.active>.badge,.nav-pills>.active>a>.badge{color:#2196f3;background-color:#ffffff}.list-group-item>.badge{float:right}.list-group-item>.badge+.badge{margin-right:5px}.nav-pills>li>a>.badge{margin-left:3px}.jumbotron{padding-top:30px;padding-bottom:30px;margin-bottom:30px;color:inherit;background-color:#f9f9f9}.jumbotron h1,.jumbotron .h1{color:#444444}.jumbotron p{margin-bottom:15px;font-size:20px;font-weight:200}.jumbotron>hr{border-top-color:#e0e0e0}.container .jumbotron,.container-fluid .jumbotron{border-radius:3px;padding-left:15px;padding-right:15px}.jumbotron .container{max-width:100%}@media screen and (min-width:768px){.jumbotron{padding-top:48px;padding-bottom:48px}.container .jumbotron,.container-fluid .jumbotron{padding-left:60px;padding-right:60px}.jumbotron h1,.jumbotron .h1{font-size:59px}}.thumbnail{display:block;padding:4px;margin-bottom:23px;line-height:1.846;background-color:#ffffff;border:1px solid #dddddd;border-radius:3px;-webkit-transition:border .2s ease-in-out;-o-transition:border .2s ease-in-out;transition:border .2s ease-in-out}.thumbnail>img,.thumbnail a>img{margin-left:auto;margin-right:auto}a.thumbnail:hover,a.thumbnail:focus,a.thumbnail.active{border-color:#2196f3}.thumbnail .caption{padding:9px;color:#666666}.alert{padding:15px;margin-bottom:23px;border:1px solid transparent;border-radius:3px}.alert h4{margin-top:0;color:inherit}.alert .alert-link{font-weight:bold}.alert>p,.alert>ul{margin-bottom:0}.alert>p+p{margin-top:5px}.alert-dismissable,.alert-dismissible{padding-right:35px}.alert-dismissable .close,.alert-dismissible .close{position:relative;top:-2px;right:-21px;color:inherit}.alert-success{background-color:#dff0d8;border-color:#d6e9c6;color:#4caf50}.alert-success hr{border-top-color:#c9e2b3}.alert-success .alert-link{color:#3d8b40}.alert-info{background-color:#e1bee7;border-color:#cba4dd;color:#9c27b0}.alert-info hr{border-top-color:#c191d6}.alert-info .alert-link{color:#771e86}.alert-warning{background-color:#ffe0b2;border-color:#ffc599;color:#ff9800}.alert-warning hr{border-top-color:#ffb67f}.alert-warning .alert-link{color:#cc7a00}.alert-danger{background-color:#f9bdbb;border-color:#f7a4af;color:#e51c23}.alert-danger hr{border-top-color:#f58c9a}.alert-danger .alert-link{color:#b9151b}@-webkit-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@-o-keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}@keyframes progress-bar-stripes{from{background-position:40px 0}to{background-position:0 0}}.progress{overflow:hidden;height:23px;margin-bottom:23px;background-color:#f5f5f5;border-radius:3px;-webkit-box-shadow:inset 0 1px 2px rgba(0,0,0,0.1);box-shadow:inset 0 1px 2px rgba(0,0,0,0.1)}.progress-bar{float:left;width:0%;height:100%;font-size:12px;line-height:23px;color:#ffffff;text-align:center;background-color:#2196f3;-webkit-box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);box-shadow:inset 0 -1px 0 rgba(0,0,0,0.15);-webkit-transition:width 0.6s ease;-o-transition:width 0.6s ease;transition:width 0.6s ease}.progress-striped .progress-bar,.progress-bar-striped{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);-webkit-background-size:40px 40px;background-size:40px 40px}.progress.active .progress-bar,.progress-bar.active{-webkit-animation:progress-bar-stripes 2s linear infinite;-o-animation:progress-bar-stripes 2s linear infinite;animation:progress-bar-stripes 2s linear infinite}.progress-bar-success{background-color:#4caf50}.progress-striped .progress-bar-success{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-info{background-color:#9c27b0}.progress-striped .progress-bar-info{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-warning{background-color:#ff9800}.progress-striped .progress-bar-warning{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.progress-bar-danger{background-color:#e51c23}.progress-striped .progress-bar-danger{background-image:-webkit-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:-o-linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent)}.media{margin-top:15px}.media:first-child{margin-top:0}.media,.media-body{zoom:1;overflow:hidden}.media-body{width:10000px}.media-object{display:block}.media-object.img-thumbnail{max-width:none}.media-right,.media>.pull-right{padding-left:10px}.media-left,.media>.pull-left{padding-right:10px}.media-left,.media-right,.media-body{display:table-cell;vertical-align:top}.media-middle{vertical-align:middle}.media-bottom{vertical-align:bottom}.media-heading{margin-top:0;margin-bottom:5px}.media-list{padding-left:0;list-style:none}.list-group{margin-bottom:20px;padding-left:0}.list-group-item{position:relative;display:block;padding:10px 15px;margin-bottom:-1px;background-color:#ffffff;border:1px solid #dddddd}.list-group-item:first-child{border-top-right-radius:3px;border-top-left-radius:3px}.list-group-item:last-child{margin-bottom:0;border-bottom-right-radius:3px;border-bottom-left-radius:3px}a.list-group-item,button.list-group-item{color:#555555}a.list-group-item .list-group-item-heading,button.list-group-item .list-group-item-heading{color:#333333}a.list-group-item:hover,button.list-group-item:hover,a.list-group-item:focus,button.list-group-item:focus{text-decoration:none;color:#555555;background-color:#f5f5f5}button.list-group-item{width:100%;text-align:left}.list-group-item.disabled,.list-group-item.disabled:hover,.list-group-item.disabled:focus{background-color:#eeeeee;color:#bbbbbb;cursor:not-allowed}.list-group-item.disabled .list-group-item-heading,.list-group-item.disabled:hover .list-group-item-heading,.list-group-item.disabled:focus .list-group-item-heading{color:inherit}.list-group-item.disabled .list-group-item-text,.list-group-item.disabled:hover .list-group-item-text,.list-group-item.disabled:focus .list-group-item-text{color:#bbbbbb}.list-group-item.active,.list-group-item.active:hover,.list-group-item.active:focus{z-index:2;color:#ffffff;background-color:#2196f3;border-color:#2196f3}.list-group-item.active .list-group-item-heading,.list-group-item.active:hover .list-group-item-heading,.list-group-item.active:focus .list-group-item-heading,.list-group-item.active .list-group-item-heading>small,.list-group-item.active:hover .list-group-item-heading>small,.list-group-item.active:focus .list-group-item-heading>small,.list-group-item.active .list-group-item-heading>.small,.list-group-item.active:hover .list-group-item-heading>.small,.list-group-item.active:focus .list-group-item-heading>.small{color:inherit}.list-group-item.active .list-group-item-text,.list-group-item.active:hover .list-group-item-text,.list-group-item.active:focus .list-group-item-text{color:#e3f2fd}.list-group-item-success{color:#4caf50;background-color:#dff0d8}a.list-group-item-success,button.list-group-item-success{color:#4caf50}a.list-group-item-success .list-group-item-heading,button.list-group-item-success .list-group-item-heading{color:inherit}a.list-group-item-success:hover,button.list-group-item-success:hover,a.list-group-item-success:focus,button.list-group-item-success:focus{color:#4caf50;background-color:#d0e9c6}a.list-group-item-success.active,button.list-group-item-success.active,a.list-group-item-success.active:hover,button.list-group-item-success.active:hover,a.list-group-item-success.active:focus,button.list-group-item-success.active:focus{color:#fff;background-color:#4caf50;border-color:#4caf50}.list-group-item-info{color:#9c27b0;background-color:#e1bee7}a.list-group-item-info,button.list-group-item-info{color:#9c27b0}a.list-group-item-info .list-group-item-heading,button.list-group-item-info .list-group-item-heading{color:inherit}a.list-group-item-info:hover,button.list-group-item-info:hover,a.list-group-item-info:focus,button.list-group-item-info:focus{color:#9c27b0;background-color:#d8abe0}a.list-group-item-info.active,button.list-group-item-info.active,a.list-group-item-info.active:hover,button.list-group-item-info.active:hover,a.list-group-item-info.active:focus,button.list-group-item-info.active:focus{color:#fff;background-color:#9c27b0;border-color:#9c27b0}.list-group-item-warning{color:#ff9800;background-color:#ffe0b2}a.list-group-item-warning,button.list-group-item-warning{color:#ff9800}a.list-group-item-warning .list-group-item-heading,button.list-group-item-warning .list-group-item-heading{color:inherit}a.list-group-item-warning:hover,button.list-group-item-warning:hover,a.list-group-item-warning:focus,button.list-group-item-warning:focus{color:#ff9800;background-color:#ffd699}a.list-group-item-warning.active,button.list-group-item-warning.active,a.list-group-item-warning.active:hover,button.list-group-item-warning.active:hover,a.list-group-item-warning.active:focus,button.list-group-item-warning.active:focus{color:#fff;background-color:#ff9800;border-color:#ff9800}.list-group-item-danger{color:#e51c23;background-color:#f9bdbb}a.list-group-item-danger,button.list-group-item-danger{color:#e51c23}a.list-group-item-danger .list-group-item-heading,button.list-group-item-danger .list-group-item-heading{color:inherit}a.list-group-item-danger:hover,button.list-group-item-danger:hover,a.list-group-item-danger:focus,button.list-group-item-danger:focus{color:#e51c23;background-color:#f7a6a4}a.list-group-item-danger.active,button.list-group-item-danger.active,a.list-group-item-danger.active:hover,button.list-group-item-danger.active:hover,a.list-group-item-danger.active:focus,button.list-group-item-danger.active:focus{color:#fff;background-color:#e51c23;border-color:#e51c23}.list-group-item-heading{margin-top:0;margin-bottom:5px}.list-group-item-text{margin-bottom:0;line-height:1.3}.panel{margin-bottom:23px;background-color:#ffffff;border:1px solid transparent;border-radius:3px;-webkit-box-shadow:0 1px 1px rgba(0,0,0,0.05);box-shadow:0 1px 1px rgba(0,0,0,0.05)}.panel-body{padding:15px}.panel-heading{padding:10px 15px;border-bottom:1px solid transparent;border-top-right-radius:2px;border-top-left-radius:2px}.panel-heading>.dropdown .dropdown-toggle{color:inherit}.panel-title{margin-top:0;margin-bottom:0;font-size:15px;color:inherit}.panel-title>a,.panel-title>small,.panel-title>.small,.panel-title>small>a,.panel-title>.small>a{color:inherit}.panel-footer{padding:10px 15px;background-color:#f5f5f5;border-top:1px solid #dddddd;border-bottom-right-radius:2px;border-bottom-left-radius:2px}.panel>.list-group,.panel>.panel-collapse>.list-group{margin-bottom:0}.panel>.list-group .list-group-item,.panel>.panel-collapse>.list-group .list-group-item{border-width:1px 0;border-radius:0}.panel>.list-group:first-child .list-group-item:first-child,.panel>.panel-collapse>.list-group:first-child .list-group-item:first-child{border-top:0;border-top-right-radius:2px;border-top-left-radius:2px}.panel>.list-group:last-child .list-group-item:last-child,.panel>.panel-collapse>.list-group:last-child .list-group-item:last-child{border-bottom:0;border-bottom-right-radius:2px;border-bottom-left-radius:2px}.panel>.panel-heading+.panel-collapse>.list-group .list-group-item:first-child{border-top-right-radius:0;border-top-left-radius:0}.panel-heading+.list-group .list-group-item:first-child{border-top-width:0}.list-group+.panel-footer{border-top-width:0}.panel>.table,.panel>.table-responsive>.table,.panel>.panel-collapse>.table{margin-bottom:0}.panel>.table caption,.panel>.table-responsive>.table caption,.panel>.panel-collapse>.table caption{padding-left:15px;padding-right:15px}.panel>.table:first-child,.panel>.table-responsive:first-child>.table:first-child{border-top-right-radius:2px;border-top-left-radius:2px}.panel>.table:first-child>thead:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child{border-top-left-radius:2px;border-top-right-radius:2px}.panel>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:first-child,.panel>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:first-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:first-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:first-child{border-top-left-radius:2px}.panel>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child td:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child td:last-child,.panel>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>thead:first-child>tr:first-child th:last-child,.panel>.table:first-child>tbody:first-child>tr:first-child th:last-child,.panel>.table-responsive:first-child>.table:first-child>tbody:first-child>tr:first-child th:last-child{border-top-right-radius:2px}.panel>.table:last-child,.panel>.table-responsive:last-child>.table:last-child{border-bottom-right-radius:2px;border-bottom-left-radius:2px}.panel>.table:last-child>tbody:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child{border-bottom-left-radius:2px;border-bottom-right-radius:2px}.panel>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:first-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:first-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:first-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:first-child{border-bottom-left-radius:2px}.panel>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child td:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child td:last-child,.panel>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tbody:last-child>tr:last-child th:last-child,.panel>.table:last-child>tfoot:last-child>tr:last-child th:last-child,.panel>.table-responsive:last-child>.table:last-child>tfoot:last-child>tr:last-child th:last-child{border-bottom-right-radius:2px}.panel>.panel-body+.table,.panel>.panel-body+.table-responsive,.panel>.table+.panel-body,.panel>.table-responsive+.panel-body{border-top:1px solid #dddddd}.panel>.table>tbody:first-child>tr:first-child th,.panel>.table>tbody:first-child>tr:first-child td{border-top:0}.panel>.table-bordered,.panel>.table-responsive>.table-bordered{border:0}.panel>.table-bordered>thead>tr>th:first-child,.panel>.table-responsive>.table-bordered>thead>tr>th:first-child,.panel>.table-bordered>tbody>tr>th:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:first-child,.panel>.table-bordered>tfoot>tr>th:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:first-child,.panel>.table-bordered>thead>tr>td:first-child,.panel>.table-responsive>.table-bordered>thead>tr>td:first-child,.panel>.table-bordered>tbody>tr>td:first-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:first-child,.panel>.table-bordered>tfoot>tr>td:first-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:first-child{border-left:0}.panel>.table-bordered>thead>tr>th:last-child,.panel>.table-responsive>.table-bordered>thead>tr>th:last-child,.panel>.table-bordered>tbody>tr>th:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>th:last-child,.panel>.table-bordered>tfoot>tr>th:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>th:last-child,.panel>.table-bordered>thead>tr>td:last-child,.panel>.table-responsive>.table-bordered>thead>tr>td:last-child,.panel>.table-bordered>tbody>tr>td:last-child,.panel>.table-responsive>.table-bordered>tbody>tr>td:last-child,.panel>.table-bordered>tfoot>tr>td:last-child,.panel>.table-responsive>.table-bordered>tfoot>tr>td:last-child{border-right:0}.panel>.table-bordered>thead>tr:first-child>td,.panel>.table-responsive>.table-bordered>thead>tr:first-child>td,.panel>.table-bordered>tbody>tr:first-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>td,.panel>.table-bordered>thead>tr:first-child>th,.panel>.table-responsive>.table-bordered>thead>tr:first-child>th,.panel>.table-bordered>tbody>tr:first-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:first-child>th{border-bottom:0}.panel>.table-bordered>tbody>tr:last-child>td,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>td,.panel>.table-bordered>tfoot>tr:last-child>td,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>td,.panel>.table-bordered>tbody>tr:last-child>th,.panel>.table-responsive>.table-bordered>tbody>tr:last-child>th,.panel>.table-bordered>tfoot>tr:last-child>th,.panel>.table-responsive>.table-bordered>tfoot>tr:last-child>th{border-bottom:0}.panel>.table-responsive{border:0;margin-bottom:0}.panel-group{margin-bottom:23px}.panel-group .panel{margin-bottom:0;border-radius:3px}.panel-group .panel+.panel{margin-top:5px}.panel-group .panel-heading{border-bottom:0}.panel-group .panel-heading+.panel-collapse>.panel-body,.panel-group .panel-heading+.panel-collapse>.list-group{border-top:1px solid #dddddd}.panel-group .panel-footer{border-top:0}.panel-group .panel-footer+.panel-collapse .panel-body{border-bottom:1px solid #dddddd}.panel-default{border-color:#dddddd}.panel-default>.panel-heading{color:#212121;background-color:#f5f5f5;border-color:#dddddd}.panel-default>.panel-heading+.panel-collapse>.panel-body{border-top-color:#dddddd}.panel-default>.panel-heading .badge{color:#f5f5f5;background-color:#212121}.panel-default>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#dddddd}.panel-primary{border-color:#2196f3}.panel-primary>.panel-heading{color:#ffffff;background-color:#2196f3;border-color:#2196f3}.panel-primary>.panel-heading+.panel-collapse>.panel-body{border-top-color:#2196f3}.panel-primary>.panel-heading .badge{color:#2196f3;background-color:#ffffff}.panel-primary>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#2196f3}.panel-success{border-color:#d6e9c6}.panel-success>.panel-heading{color:#ffffff;background-color:#4caf50;border-color:#d6e9c6}.panel-success>.panel-heading+.panel-collapse>.panel-body{border-top-color:#d6e9c6}.panel-success>.panel-heading .badge{color:#4caf50;background-color:#ffffff}.panel-success>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#d6e9c6}.panel-info{border-color:#cba4dd}.panel-info>.panel-heading{color:#ffffff;background-color:#9c27b0;border-color:#cba4dd}.panel-info>.panel-heading+.panel-collapse>.panel-body{border-top-color:#cba4dd}.panel-info>.panel-heading .badge{color:#9c27b0;background-color:#ffffff}.panel-info>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#cba4dd}.panel-warning{border-color:#ffc599}.panel-warning>.panel-heading{color:#ffffff;background-color:#ff9800;border-color:#ffc599}.panel-warning>.panel-heading+.panel-collapse>.panel-body{border-top-color:#ffc599}.panel-warning>.panel-heading .badge{color:#ff9800;background-color:#ffffff}.panel-warning>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#ffc599}.panel-danger{border-color:#f7a4af}.panel-danger>.panel-heading{color:#ffffff;background-color:#e51c23;border-color:#f7a4af}.panel-danger>.panel-heading+.panel-collapse>.panel-body{border-top-color:#f7a4af}.panel-danger>.panel-heading .badge{color:#e51c23;background-color:#ffffff}.panel-danger>.panel-footer+.panel-collapse>.panel-body{border-bottom-color:#f7a4af}.embed-responsive{position:relative;display:block;height:0;padding:0;overflow:hidden}.embed-responsive .embed-responsive-item,.embed-responsive iframe,.embed-responsive embed,.embed-responsive object,.embed-responsive video{position:absolute;top:0;left:0;bottom:0;height:100%;width:100%;border:0}.embed-responsive-16by9{padding-bottom:56.25%}.embed-responsive-4by3{padding-bottom:75%}.well{min-height:20px;padding:19px;margin-bottom:20px;background-color:#f9f9f9;border:1px solid transparent;border-radius:3px;-webkit-box-shadow:inset 0 1px 1px rgba(0,0,0,0.05);box-shadow:inset 0 1px 1px rgba(0,0,0,0.05)}.well blockquote{border-color:#ddd;border-color:rgba(0,0,0,0.15)}.well-lg{padding:24px;border-radius:3px}.well-sm{padding:9px;border-radius:3px}.close{float:right;font-size:19.5px;font-weight:normal;line-height:1;color:#000000;text-shadow:none;opacity:0.2;filter:alpha(opacity=20)}.close:hover,.close:focus{color:#000000;text-decoration:none;cursor:pointer;opacity:0.5;filter:alpha(opacity=50)}button.close{padding:0;cursor:pointer;background:transparent;border:0;-webkit-appearance:none}.modal-open{overflow:hidden}.modal{display:none;overflow:hidden;position:fixed;top:0;right:0;bottom:0;left:0;z-index:1050;-webkit-overflow-scrolling:touch;outline:0}.modal.fade .modal-dialog{-webkit-transform:translate(0, -25%);-ms-transform:translate(0, -25%);-o-transform:translate(0, -25%);transform:translate(0, -25%);-webkit-transition:-webkit-transform .3s ease-out;-o-transition:-o-transform .3s ease-out;transition:transform .3s ease-out}.modal.in .modal-dialog{-webkit-transform:translate(0, 0);-ms-transform:translate(0, 0);-o-transform:translate(0, 0);transform:translate(0, 0)}.modal-open .modal{overflow-x:hidden;overflow-y:auto}.modal-dialog{position:relative;width:auto;margin:10px}.modal-content{position:relative;background-color:#ffffff;border:1px solid #999999;border:1px solid transparent;border-radius:3px;-webkit-box-shadow:0 3px 9px rgba(0,0,0,0.5);box-shadow:0 3px 9px rgba(0,0,0,0.5);-webkit-background-clip:padding-box;background-clip:padding-box;outline:0}.modal-backdrop{position:fixed;top:0;right:0;bottom:0;left:0;z-index:1040;background-color:#000000}.modal-backdrop.fade{opacity:0;filter:alpha(opacity=0)}.modal-backdrop.in{opacity:0.5;filter:alpha(opacity=50)}.modal-header{padding:15px;border-bottom:1px solid transparent}.modal-header .close{margin-top:-2px}.modal-title{margin:0;line-height:1.846}.modal-body{position:relative;padding:15px}.modal-footer{padding:15px;text-align:right;border-top:1px solid transparent}.modal-footer .btn+.btn{margin-left:5px;margin-bottom:0}.modal-footer .btn-group .btn+.btn{margin-left:-1px}.modal-footer .btn-block+.btn-block{margin-left:0}.modal-scrollbar-measure{position:absolute;top:-9999px;width:50px;height:50px;overflow:scroll}@media (min-width:768px){.modal-dialog{width:600px;margin:30px auto}.modal-content{-webkit-box-shadow:0 5px 15px rgba(0,0,0,0.5);box-shadow:0 5px 15px rgba(0,0,0,0.5)}.modal-sm{width:300px}}@media (min-width:992px){.modal-lg{width:900px}}.tooltip{position:absolute;z-index:1070;display:block;font-family:"Roboto","Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.846;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:12px;opacity:0;filter:alpha(opacity=0)}.tooltip.in{opacity:0.9;filter:alpha(opacity=90)}.tooltip.top{margin-top:-3px;padding:5px 0}.tooltip.right{margin-left:3px;padding:0 5px}.tooltip.bottom{margin-top:3px;padding:5px 0}.tooltip.left{margin-left:-3px;padding:0 5px}.tooltip-inner{max-width:200px;padding:3px 8px;color:#ffffff;text-align:center;background-color:#727272;border-radius:3px}.tooltip-arrow{position:absolute;width:0;height:0;border-color:transparent;border-style:solid}.tooltip.top .tooltip-arrow{bottom:0;left:50%;margin-left:-5px;border-width:5px 5px 0;border-top-color:#727272}.tooltip.top-left .tooltip-arrow{bottom:0;right:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#727272}.tooltip.top-right .tooltip-arrow{bottom:0;left:5px;margin-bottom:-5px;border-width:5px 5px 0;border-top-color:#727272}.tooltip.right .tooltip-arrow{top:50%;left:0;margin-top:-5px;border-width:5px 5px 5px 0;border-right-color:#727272}.tooltip.left .tooltip-arrow{top:50%;right:0;margin-top:-5px;border-width:5px 0 5px 5px;border-left-color:#727272}.tooltip.bottom .tooltip-arrow{top:0;left:50%;margin-left:-5px;border-width:0 5px 5px;border-bottom-color:#727272}.tooltip.bottom-left .tooltip-arrow{top:0;right:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#727272}.tooltip.bottom-right .tooltip-arrow{top:0;left:5px;margin-top:-5px;border-width:0 5px 5px;border-bottom-color:#727272}.popover{position:absolute;top:0;left:0;z-index:1060;display:none;max-width:276px;padding:1px;font-family:"Roboto","Helvetica Neue",Helvetica,Arial,sans-serif;font-style:normal;font-weight:normal;letter-spacing:normal;line-break:auto;line-height:1.846;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;white-space:normal;word-break:normal;word-spacing:normal;word-wrap:normal;font-size:13px;background-color:#ffffff;-webkit-background-clip:padding-box;background-clip:padding-box;border:1px solid transparent;border-radius:3px;-webkit-box-shadow:0 5px 10px rgba(0,0,0,0.2);box-shadow:0 5px 10px rgba(0,0,0,0.2)}.popover.top{margin-top:-10px}.popover.right{margin-left:10px}.popover.bottom{margin-top:10px}.popover.left{margin-left:-10px}.popover-title{margin:0;padding:8px 14px;font-size:13px;background-color:#f7f7f7;border-bottom:1px solid #ebebeb;border-radius:2px 2px 0 0}.popover-content{padding:9px 14px}.popover>.arrow,.popover>.arrow:after{position:absolute;display:block;width:0;height:0;border-color:transparent;border-style:solid}.popover>.arrow{border-width:11px}.popover>.arrow:after{border-width:10px;content:""}.popover.top>.arrow{left:50%;margin-left:-11px;border-bottom-width:0;border-top-color:rgba(0,0,0,0);border-top-color:rgba(0,0,0,0.075);bottom:-11px}.popover.top>.arrow:after{content:" ";bottom:1px;margin-left:-10px;border-bottom-width:0;border-top-color:#ffffff}.popover.right>.arrow{top:50%;left:-11px;margin-top:-11px;border-left-width:0;border-right-color:rgba(0,0,0,0);border-right-color:rgba(0,0,0,0.075)}.popover.right>.arrow:after{content:" ";left:1px;bottom:-10px;border-left-width:0;border-right-color:#ffffff}.popover.bottom>.arrow{left:50%;margin-left:-11px;border-top-width:0;border-bottom-color:rgba(0,0,0,0);border-bottom-color:rgba(0,0,0,0.075);top:-11px}.popover.bottom>.arrow:after{content:" ";top:1px;margin-left:-10px;border-top-width:0;border-bottom-color:#ffffff}.popover.left>.arrow{top:50%;right:-11px;margin-top:-11px;border-right-width:0;border-left-color:rgba(0,0,0,0);border-left-color:rgba(0,0,0,0.075)}.popover.left>.arrow:after{content:" ";right:1px;border-right-width:0;border-left-color:#ffffff;bottom:-10px}.carousel{position:relative}.carousel-inner{position:relative;overflow:hidden;width:100%}.carousel-inner>.item{display:none;position:relative;-webkit-transition:.6s ease-in-out left;-o-transition:.6s ease-in-out left;transition:.6s ease-in-out left}.carousel-inner>.item>img,.carousel-inner>.item>a>img{line-height:1}@media all and (transform-3d),(-webkit-transform-3d){.carousel-inner>.item{-webkit-transition:-webkit-transform .6s ease-in-out;-o-transition:-o-transform .6s ease-in-out;transition:transform .6s ease-in-out;-webkit-backface-visibility:hidden;backface-visibility:hidden;-webkit-perspective:1000px;perspective:1000px}.carousel-inner>.item.next,.carousel-inner>.item.active.right{-webkit-transform:translate3d(100%, 0, 0);transform:translate3d(100%, 0, 0);left:0}.carousel-inner>.item.prev,.carousel-inner>.item.active.left{-webkit-transform:translate3d(-100%, 0, 0);transform:translate3d(-100%, 0, 0);left:0}.carousel-inner>.item.next.left,.carousel-inner>.item.prev.right,.carousel-inner>.item.active{-webkit-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);left:0}}.carousel-inner>.active,.carousel-inner>.next,.carousel-inner>.prev{display:block}.carousel-inner>.active{left:0}.carousel-inner>.next,.carousel-inner>.prev{position:absolute;top:0;width:100%}.carousel-inner>.next{left:100%}.carousel-inner>.prev{left:-100%}.carousel-inner>.next.left,.carousel-inner>.prev.right{left:0}.carousel-inner>.active.left{left:-100%}.carousel-inner>.active.right{left:100%}.carousel-control{position:absolute;top:0;left:0;bottom:0;width:15%;opacity:0.5;filter:alpha(opacity=50);font-size:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6);background-color:rgba(0,0,0,0)}.carousel-control.left{background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.5)), to(rgba(0,0,0,0.0001)));background-image:linear-gradient(to right, rgba(0,0,0,0.5) 0, rgba(0,0,0,0.0001) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1)}.carousel-control.right{left:auto;right:0;background-image:-webkit-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-o-linear-gradient(left, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-image:-webkit-gradient(linear, left top, right top, from(rgba(0,0,0,0.0001)), to(rgba(0,0,0,0.5)));background-image:linear-gradient(to right, rgba(0,0,0,0.0001) 0, rgba(0,0,0,0.5) 100%);background-repeat:repeat-x;filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1)}.carousel-control:hover,.carousel-control:focus{outline:0;color:#ffffff;text-decoration:none;opacity:0.9;filter:alpha(opacity=90)}.carousel-control .icon-prev,.carousel-control .icon-next,.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right{position:absolute;top:50%;margin-top:-10px;z-index:5;display:inline-block}.carousel-control .icon-prev,.carousel-control .glyphicon-chevron-left{left:50%;margin-left:-10px}.carousel-control .icon-next,.carousel-control .glyphicon-chevron-right{right:50%;margin-right:-10px}.carousel-control .icon-prev,.carousel-control .icon-next{width:20px;height:20px;line-height:1;font-family:serif}.carousel-control .icon-prev:before{content:'\2039'}.carousel-control .icon-next:before{content:'\203a'}.carousel-indicators{position:absolute;bottom:10px;left:50%;z-index:15;width:60%;margin-left:-30%;padding-left:0;list-style:none;text-align:center}.carousel-indicators li{display:inline-block;width:10px;height:10px;margin:1px;text-indent:-999px;border:1px solid #ffffff;border-radius:10px;cursor:pointer;background-color:#000 \9;background-color:rgba(0,0,0,0)}.carousel-indicators .active{margin:0;width:12px;height:12px;background-color:#ffffff}.carousel-caption{position:absolute;left:15%;right:15%;bottom:20px;z-index:10;padding-top:20px;padding-bottom:20px;color:#ffffff;text-align:center;text-shadow:0 1px 2px rgba(0,0,0,0.6)}.carousel-caption .btn{text-shadow:none}@media screen and (min-width:768px){.carousel-control .glyphicon-chevron-left,.carousel-control .glyphicon-chevron-right,.carousel-control .icon-prev,.carousel-control .icon-next{width:30px;height:30px;margin-top:-10px;font-size:30px}.carousel-control .glyphicon-chevron-left,.carousel-control .icon-prev{margin-left:-10px}.carousel-control .glyphicon-chevron-right,.carousel-control .icon-next{margin-right:-10px}.carousel-caption{left:20%;right:20%;padding-bottom:30px}.carousel-indicators{bottom:20px}}.clearfix:before,.clearfix:after,.dl-horizontal dd:before,.dl-horizontal dd:after,.container:before,.container:after,.container-fluid:before,.container-fluid:after,.row:before,.row:after,.form-horizontal .form-group:before,.form-horizontal .form-group:after,.btn-toolbar:before,.btn-toolbar:after,.btn-group-vertical>.btn-group:before,.btn-group-vertical>.btn-group:after,.nav:before,.nav:after,.navbar:before,.navbar:after,.navbar-header:before,.navbar-header:after,.navbar-collapse:before,.navbar-collapse:after,.pager:before,.pager:after,.panel-body:before,.panel-body:after,.modal-header:before,.modal-header:after,.modal-footer:before,.modal-footer:after{content:" ";display:table}.clearfix:after,.dl-horizontal dd:after,.container:after,.container-fluid:after,.row:after,.form-horizontal .form-group:after,.btn-toolbar:after,.btn-group-vertical>.btn-group:after,.nav:after,.navbar:after,.navbar-header:after,.navbar-collapse:after,.pager:after,.panel-body:after,.modal-header:after,.modal-footer:after{clear:both}.center-block{display:block;margin-left:auto;margin-right:auto}.pull-right{float:right !important}.pull-left{float:left !important}.hide{display:none !important}.show{display:block !important}.invisible{visibility:hidden}.text-hide{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.hidden{display:none !important}.affix{position:fixed}@-ms-viewport{width:device-width}.visible-xs,.visible-sm,.visible-md,.visible-lg{display:none !important}.visible-xs-block,.visible-xs-inline,.visible-xs-inline-block,.visible-sm-block,.visible-sm-inline,.visible-sm-inline-block,.visible-md-block,.visible-md-inline,.visible-md-inline-block,.visible-lg-block,.visible-lg-inline,.visible-lg-inline-block{display:none !important}@media (max-width:767px){.visible-xs{display:block !important}table.visible-xs{display:table !important}tr.visible-xs{display:table-row !important}th.visible-xs,td.visible-xs{display:table-cell !important}}@media (max-width:767px){.visible-xs-block{display:block !important}}@media (max-width:767px){.visible-xs-inline{display:inline !important}}@media (max-width:767px){.visible-xs-inline-block{display:inline-block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm{display:block !important}table.visible-sm{display:table !important}tr.visible-sm{display:table-row !important}th.visible-sm,td.visible-sm{display:table-cell !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-block{display:block !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline{display:inline !important}}@media (min-width:768px) and (max-width:991px){.visible-sm-inline-block{display:inline-block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md{display:block !important}table.visible-md{display:table !important}tr.visible-md{display:table-row !important}th.visible-md,td.visible-md{display:table-cell !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-block{display:block !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline{display:inline !important}}@media (min-width:992px) and (max-width:1199px){.visible-md-inline-block{display:inline-block !important}}@media (min-width:1200px){.visible-lg{display:block !important}table.visible-lg{display:table !important}tr.visible-lg{display:table-row !important}th.visible-lg,td.visible-lg{display:table-cell !important}}@media (min-width:1200px){.visible-lg-block{display:block !important}}@media (min-width:1200px){.visible-lg-inline{display:inline !important}}@media (min-width:1200px){.visible-lg-inline-block{display:inline-block !important}}@media (max-width:767px){.hidden-xs{display:none !important}}@media (min-width:768px) and (max-width:991px){.hidden-sm{display:none !important}}@media (min-width:992px) and (max-width:1199px){.hidden-md{display:none !important}}@media (min-width:1200px){.hidden-lg{display:none !important}}.visible-print{display:none !important}@media print{.visible-print{display:block !important}table.visible-print{display:table !important}tr.visible-print{display:table-row !important}th.visible-print,td.visible-print{display:table-cell !important}}.visible-print-block{display:none !important}@media print{.visible-print-block{display:block !important}}.visible-print-inline{display:none !important}@media print{.visible-print-inline{display:inline !important}}.visible-print-inline-block{display:none !important}@media print{.visible-print-inline-block{display:inline-block !important}}@media print{.hidden-print{display:none !important}}.navbar{border:none;-webkit-box-shadow:0 1px 2px rgba(0,0,0,0.3);box-shadow:0 1px 2px rgba(0,0,0,0.3)}.navbar-brand{font-size:24px}.navbar-inverse .navbar-form input[type=text],.navbar-inverse .navbar-form input[type=password]{color:#fff;-webkit-box-shadow:inset 0 -1px 0 #b2dbfb;box-shadow:inset 0 -1px 0 #b2dbfb}.navbar-inverse .navbar-form input[type=text]::-moz-placeholder,.navbar-inverse .navbar-form input[type=password]::-moz-placeholder{color:#b2dbfb;opacity:1}.navbar-inverse .navbar-form input[type=text]:-ms-input-placeholder,.navbar-inverse .navbar-form input[type=password]:-ms-input-placeholder{color:#b2dbfb}.navbar-inverse .navbar-form input[type=text]::-webkit-input-placeholder,.navbar-inverse .navbar-form input[type=password]::-webkit-input-placeholder{color:#b2dbfb}.navbar-inverse .navbar-form input[type=text]:focus,.navbar-inverse .navbar-form input[type=password]:focus{-webkit-box-shadow:inset 0 -2px 0 #fff;box-shadow:inset 0 -2px 0 #fff}.btn-default{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-default:focus{background-color:#ffffff}.btn-default:hover,.btn-default:active:hover{background-color:#f0f0f0}.btn-default:active{background-color:#e0e0e0;background-image:-webkit-radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-image:-o-radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-image:radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-primary{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-primary:focus{background-color:#2196f3}.btn-primary:hover,.btn-primary:active:hover{background-color:#0d87e9}.btn-primary:active{background-color:#0b76cc;background-image:-webkit-radial-gradient(circle, #0b76cc 10%, #2196f3 11%);background-image:-o-radial-gradient(circle, #0b76cc 10%, #2196f3 11%);background-image:radial-gradient(circle, #0b76cc 10%, #2196f3 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-success{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-success:focus{background-color:#4caf50}.btn-success:hover,.btn-success:active:hover{background-color:#439a46}.btn-success:active{background-color:#39843c;background-image:-webkit-radial-gradient(circle, #39843c 10%, #4caf50 11%);background-image:-o-radial-gradient(circle, #39843c 10%, #4caf50 11%);background-image:radial-gradient(circle, #39843c 10%, #4caf50 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-info{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-info:focus{background-color:#9c27b0}.btn-info:hover,.btn-info:active:hover{background-color:#862197}.btn-info:active{background-color:#701c7e;background-image:-webkit-radial-gradient(circle, #701c7e 10%, #9c27b0 11%);background-image:-o-radial-gradient(circle, #701c7e 10%, #9c27b0 11%);background-image:radial-gradient(circle, #701c7e 10%, #9c27b0 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-warning{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-warning:focus{background-color:#ff9800}.btn-warning:hover,.btn-warning:active:hover{background-color:#e08600}.btn-warning:active{background-color:#c27400;background-image:-webkit-radial-gradient(circle, #c27400 10%, #ff9800 11%);background-image:-o-radial-gradient(circle, #c27400 10%, #ff9800 11%);background-image:radial-gradient(circle, #c27400 10%, #ff9800 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-danger{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-danger:focus{background-color:#e51c23}.btn-danger:hover,.btn-danger:active:hover{background-color:#cb171e}.btn-danger:active{background-color:#b0141a;background-image:-webkit-radial-gradient(circle, #b0141a 10%, #e51c23 11%);background-image:-o-radial-gradient(circle, #b0141a 10%, #e51c23 11%);background-image:radial-gradient(circle, #b0141a 10%, #e51c23 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn-link{-webkit-background-size:200% 200%;background-size:200%;background-position:50%}.btn-link:focus{background-color:#ffffff}.btn-link:hover,.btn-link:active:hover{background-color:#f0f0f0}.btn-link:active{background-color:#e0e0e0;background-image:-webkit-radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-image:-o-radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-image:radial-gradient(circle, #e0e0e0 10%, #fff 11%);background-repeat:no-repeat;-webkit-background-size:1000% 1000%;background-size:1000%;-webkit-box-shadow:2px 2px 4px rgba(0,0,0,0.4);box-shadow:2px 2px 4px rgba(0,0,0,0.4)}.btn{text-transform:uppercase;border:none;-webkit-box-shadow:1px 1px 4px rgba(0,0,0,0.4);box-shadow:1px 1px 4px rgba(0,0,0,0.4);-webkit-transition:all 0.4s;-o-transition:all 0.4s;transition:all 0.4s}.btn-link{border-radius:3px;-webkit-box-shadow:none;box-shadow:none;color:#444444}.btn-link:hover,.btn-link:focus{-webkit-box-shadow:none;box-shadow:none;color:#444444;text-decoration:none}.btn-default.disabled{background-color:rgba(0,0,0,0.1);color:rgba(0,0,0,0.4);opacity:1}.btn-group .btn+.btn,.btn-group .btn+.btn-group,.btn-group .btn-group+.btn,.btn-group .btn-group+.btn-group{margin-left:0}.btn-group-vertical>.btn+.btn,.btn-group-vertical>.btn+.btn-group,.btn-group-vertical>.btn-group+.btn,.btn-group-vertical>.btn-group+.btn-group{margin-top:0}body{-webkit-font-smoothing:antialiased;letter-spacing:.1px}p{margin:0 0 1em}input,button{-webkit-font-smoothing:antialiased;letter-spacing:.1px}a{-webkit-transition:all 0.2s;-o-transition:all 0.2s;transition:all 0.2s}.table-hover>tbody>tr,.table-hover>tbody>tr>th,.table-hover>tbody>tr>td{-webkit-transition:all 0.2s;-o-transition:all 0.2s;transition:all 0.2s}label{font-weight:normal}textarea,textarea.form-control,input.form-control,input[type=text],input[type=password],input[type=email],input[type=number],[type=text].form-control,[type=password].form-control,[type=email].form-control,[type=tel].form-control,[contenteditable].form-control{padding:0;border:none;border-radius:0;-webkit-appearance:none;-webkit-box-shadow:inset 0 -1px 0 #ddd;box-shadow:inset 0 -1px 0 #ddd;font-size:16px}textarea:focus,textarea.form-control:focus,input.form-control:focus,input[type=text]:focus,input[type=password]:focus,input[type=email]:focus,input[type=number]:focus,[type=text].form-control:focus,[type=password].form-control:focus,[type=email].form-control:focus,[type=tel].form-control:focus,[contenteditable].form-control:focus{-webkit-box-shadow:inset 0 -2px 0 #2196f3;box-shadow:inset 0 -2px 0 #2196f3}textarea[disabled],textarea.form-control[disabled],input.form-control[disabled],input[type=text][disabled],input[type=password][disabled],input[type=email][disabled],input[type=number][disabled],[type=text].form-control[disabled],[type=password].form-control[disabled],[type=email].form-control[disabled],[type=tel].form-control[disabled],[contenteditable].form-control[disabled],textarea[readonly],textarea.form-control[readonly],input.form-control[readonly],input[type=text][readonly],input[type=password][readonly],input[type=email][readonly],input[type=number][readonly],[type=text].form-control[readonly],[type=password].form-control[readonly],[type=email].form-control[readonly],[type=tel].form-control[readonly],[contenteditable].form-control[readonly]{-webkit-box-shadow:none;box-shadow:none;border-bottom:1px dotted #ddd}textarea.input-sm,textarea.form-control.input-sm,input.form-control.input-sm,input[type=text].input-sm,input[type=password].input-sm,input[type=email].input-sm,input[type=number].input-sm,[type=text].form-control.input-sm,[type=password].form-control.input-sm,[type=email].form-control.input-sm,[type=tel].form-control.input-sm,[contenteditable].form-control.input-sm{font-size:12px}textarea.input-lg,textarea.form-control.input-lg,input.form-control.input-lg,input[type=text].input-lg,input[type=password].input-lg,input[type=email].input-lg,input[type=number].input-lg,[type=text].form-control.input-lg,[type=password].form-control.input-lg,[type=email].form-control.input-lg,[type=tel].form-control.input-lg,[contenteditable].form-control.input-lg{font-size:17px}select,select.form-control{border:0;border-radius:0;-webkit-appearance:none;-moz-appearance:none;appearance:none;padding-left:0;padding-right:0\9;background-image:url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABoAAAAaCAMAAACelLz8AAAAJ1BMVEVmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmaP/QSjAAAADHRSTlMAAgMJC0uWpKa6wMxMdjkoAAAANUlEQVR4AeXJyQEAERAAsNl7Hf3X6xt0QL6JpZWq30pdvdadme+0PMdzvHm8YThHcT1H7K0BtOMDniZhWOgAAAAASUVORK5CYII=);-webkit-background-size:13px 13px;background-size:13px;background-repeat:no-repeat;background-position:right center;-webkit-box-shadow:inset 0 -1px 0 #ddd;box-shadow:inset 0 -1px 0 #ddd;font-size:16px;line-height:1.5}select::-ms-expand,select.form-control::-ms-expand{display:none}select.input-sm,select.form-control.input-sm{font-size:12px}select.input-lg,select.form-control.input-lg{font-size:17px}select:focus,select.form-control:focus{-webkit-box-shadow:inset 0 -2px 0 #2196f3;box-shadow:inset 0 -2px 0 #2196f3;background-image:url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABoAAAAaCAMAAACelLz8AAAAJ1BMVEUhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISEhISF8S9ewAAAADHRSTlMAAgMJC0uWpKa6wMxMdjkoAAAANUlEQVR4AeXJyQEAERAAsNl7Hf3X6xt0QL6JpZWq30pdvdadme+0PMdzvHm8YThHcT1H7K0BtOMDniZhWOgAAAAASUVORK5CYII=)}select[multiple],select.form-control[multiple]{background:none}.radio label,.radio-inline label,.checkbox label,.checkbox-inline label{padding-left:25px}.radio input[type="radio"],.radio-inline input[type="radio"],.checkbox input[type="radio"],.checkbox-inline input[type="radio"],.radio input[type="checkbox"],.radio-inline input[type="checkbox"],.checkbox input[type="checkbox"],.checkbox-inline input[type="checkbox"]{margin-left:-25px}input[type="radio"],.radio input[type="radio"],.radio-inline input[type="radio"]{position:relative;margin-top:6px;margin-right:4px;vertical-align:top;border:none;background-color:transparent;-webkit-appearance:none;appearance:none;cursor:pointer}input[type="radio"]:focus,.radio input[type="radio"]:focus,.radio-inline input[type="radio"]:focus{outline:none}input[type="radio"]:before,.radio input[type="radio"]:before,.radio-inline input[type="radio"]:before,input[type="radio"]:after,.radio input[type="radio"]:after,.radio-inline input[type="radio"]:after{content:"";display:block;width:18px;height:18px;border-radius:50%;-webkit-transition:240ms;-o-transition:240ms;transition:240ms}input[type="radio"]:before,.radio input[type="radio"]:before,.radio-inline input[type="radio"]:before{position:absolute;left:0;top:-3px;background-color:#2196f3;-webkit-transform:scale(0);-ms-transform:scale(0);-o-transform:scale(0);transform:scale(0)}input[type="radio"]:after,.radio input[type="radio"]:after,.radio-inline input[type="radio"]:after{position:relative;top:-3px;border:2px solid #666666}input[type="radio"]:checked:before,.radio input[type="radio"]:checked:before,.radio-inline input[type="radio"]:checked:before{-webkit-transform:scale(.5);-ms-transform:scale(.5);-o-transform:scale(.5);transform:scale(.5)}input[type="radio"]:disabled:checked:before,.radio input[type="radio"]:disabled:checked:before,.radio-inline input[type="radio"]:disabled:checked:before{background-color:#bbbbbb}input[type="radio"]:checked:after,.radio input[type="radio"]:checked:after,.radio-inline input[type="radio"]:checked:after{border-color:#2196f3}input[type="radio"]:disabled:after,.radio input[type="radio"]:disabled:after,.radio-inline input[type="radio"]:disabled:after,input[type="radio"]:disabled:checked:after,.radio input[type="radio"]:disabled:checked:after,.radio-inline input[type="radio"]:disabled:checked:after{border-color:#bbbbbb}input[type="checkbox"],.checkbox input[type="checkbox"],.checkbox-inline input[type="checkbox"]{position:relative;border:none;margin-bottom:-4px;-webkit-appearance:none;appearance:none;cursor:pointer}input[type="checkbox"]:focus,.checkbox input[type="checkbox"]:focus,.checkbox-inline input[type="checkbox"]:focus{outline:none}input[type="checkbox"]:focus:after,.checkbox input[type="checkbox"]:focus:after,.checkbox-inline input[type="checkbox"]:focus:after{border-color:#2196f3}input[type="checkbox"]:after,.checkbox input[type="checkbox"]:after,.checkbox-inline input[type="checkbox"]:after{content:"";display:block;width:18px;height:18px;margin-top:-2px;margin-right:5px;border:2px solid #666666;border-radius:2px;-webkit-transition:240ms;-o-transition:240ms;transition:240ms}input[type="checkbox"]:checked:before,.checkbox input[type="checkbox"]:checked:before,.checkbox-inline input[type="checkbox"]:checked:before{content:"";position:absolute;top:0;left:6px;display:table;width:6px;height:12px;border:2px solid #fff;border-top-width:0;border-left-width:0;-webkit-transform:rotate(45deg);-ms-transform:rotate(45deg);-o-transform:rotate(45deg);transform:rotate(45deg)}input[type="checkbox"]:checked:after,.checkbox input[type="checkbox"]:checked:after,.checkbox-inline input[type="checkbox"]:checked:after{background-color:#2196f3;border-color:#2196f3}input[type="checkbox"]:disabled:after,.checkbox input[type="checkbox"]:disabled:after,.checkbox-inline input[type="checkbox"]:disabled:after{border-color:#bbbbbb}input[type="checkbox"]:disabled:checked:after,.checkbox input[type="checkbox"]:disabled:checked:after,.checkbox-inline input[type="checkbox"]:disabled:checked:after{background-color:#bbbbbb;border-color:transparent}.has-warning input:not([type=checkbox]),.has-warning .form-control,.has-warning input.form-control[readonly],.has-warning input[type=text][readonly],.has-warning [type=text].form-control[readonly],.has-warning input:not([type=checkbox]):focus,.has-warning .form-control:focus{border-bottom:none;-webkit-box-shadow:inset 0 -2px 0 #ff9800;box-shadow:inset 0 -2px 0 #ff9800}.has-error input:not([type=checkbox]),.has-error .form-control,.has-error input.form-control[readonly],.has-error input[type=text][readonly],.has-error [type=text].form-control[readonly],.has-error input:not([type=checkbox]):focus,.has-error .form-control:focus{border-bottom:none;-webkit-box-shadow:inset 0 -2px 0 #e51c23;box-shadow:inset 0 -2px 0 #e51c23}.has-success input:not([type=checkbox]),.has-success .form-control,.has-success input.form-control[readonly],.has-success input[type=text][readonly],.has-success [type=text].form-control[readonly],.has-success input:not([type=checkbox]):focus,.has-success .form-control:focus{border-bottom:none;-webkit-box-shadow:inset 0 -2px 0 #4caf50;box-shadow:inset 0 -2px 0 #4caf50}.has-warning .input-group-addon,.has-error .input-group-addon,.has-success .input-group-addon{color:#666666;border-color:transparent;background-color:transparent}.nav-tabs>li>a,.nav-tabs>li>a:focus{margin-right:0;background-color:transparent;border:none;color:#666666;-webkit-box-shadow:inset 0 -1px 0 #ddd;box-shadow:inset 0 -1px 0 #ddd;-webkit-transition:all 0.2s;-o-transition:all 0.2s;transition:all 0.2s}.nav-tabs>li>a:hover,.nav-tabs>li>a:focus:hover{background-color:transparent;-webkit-box-shadow:inset 0 -2px 0 #2196f3;box-shadow:inset 0 -2px 0 #2196f3;color:#2196f3}.nav-tabs>li.active>a,.nav-tabs>li.active>a:focus{border:none;-webkit-box-shadow:inset 0 -2px 0 #2196f3;box-shadow:inset 0 -2px 0 #2196f3;color:#2196f3}.nav-tabs>li.active>a:hover,.nav-tabs>li.active>a:focus:hover{border:none;color:#2196f3}.nav-tabs>li.disabled>a{-webkit-box-shadow:inset 0 -1px 0 #ddd;box-shadow:inset 0 -1px 0 #ddd}.nav-tabs.nav-justified>li>a,.nav-tabs.nav-justified>li>a:hover,.nav-tabs.nav-justified>li>a:focus,.nav-tabs.nav-justified>.active>a,.nav-tabs.nav-justified>.active>a:hover,.nav-tabs.nav-justified>.active>a:focus{border:none}.nav-tabs .dropdown-menu{margin-top:0}.dropdown-menu{margin-top:0;border:none;-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.3);box-shadow:0 1px 4px rgba(0,0,0,0.3)}.alert{border:none;color:#fff}.alert-success{background-color:#4caf50}.alert-info{background-color:#9c27b0}.alert-warning{background-color:#ff9800}.alert-danger{background-color:#e51c23}.alert a:not(.close),.alert .alert-link{color:#fff;font-weight:bold}.alert .close{color:#fff}.badge{padding:4px 6px 4px}.progress{position:relative;z-index:1;height:6px;border-radius:0;-webkit-box-shadow:none;box-shadow:none}.progress-bar{-webkit-box-shadow:none;box-shadow:none}.progress-bar:last-child{border-radius:0 3px 3px 0}.progress-bar:last-child:before{display:block;content:"";position:absolute;width:100%;height:100%;left:0;right:0;z-index:-1;background-color:#cae6fc}.progress-bar-success:last-child.progress-bar:before{background-color:#c7e7c8}.progress-bar-info:last-child.progress-bar:before{background-color:#edc9f3}.progress-bar-warning:last-child.progress-bar:before{background-color:#ffe0b3}.progress-bar-danger:last-child.progress-bar:before{background-color:#f28e92}.close{font-size:34px;font-weight:300;line-height:24px;opacity:0.6;-webkit-transition:all 0.2s;-o-transition:all 0.2s;transition:all 0.2s}.close:hover{opacity:1}.list-group-item{padding:15px}.list-group-item-text{color:#bbbbbb}.well{border-radius:0;-webkit-box-shadow:none;box-shadow:none}.panel{border:none;border-radius:2px;-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.3);box-shadow:0 1px 4px rgba(0,0,0,0.3)}.panel-heading{border-bottom:none}.panel-footer{border-top:none}.popover{border:none;-webkit-box-shadow:0 1px 4px rgba(0,0,0,0.3);box-shadow:0 1px 4px rgba(0,0,0,0.3)}.carousel-caption h1,.carousel-caption h2,.carousel-caption h3,.carousel-caption h4,.carousel-caption h5,.carousel-caption h6{color:inherit}
</style>
<script>/*!
 * Bootstrap v3.3.5 (http://getbootstrap.com)
 * Copyright 2011-2015 Twitter, Inc.
 * Licensed under the MIT license
 */
if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return a(b.target).is(this)?b.handleObj.handler.apply(this,arguments):void 0}})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var c=a(this),e=c.data("bs.alert");e||c.data("bs.alert",e=new d(this)),"string"==typeof b&&e[b].call(c)})}var c='[data-dismiss="alert"]',d=function(b){a(b).on("click",c,this.close)};d.VERSION="3.3.5",d.TRANSITION_DURATION=150,d.prototype.close=function(b){function c(){g.detach().trigger("closed.bs.alert").remove()}var e=a(this),f=e.attr("data-target");f||(f=e.attr("href"),f=f&&f.replace(/.*(?=#[^\s]*$)/,""));var g=a(f);b&&b.preventDefault(),g.length||(g=e.closest(".alert")),g.trigger(b=a.Event("close.bs.alert")),b.isDefaultPrevented()||(g.removeClass("in"),a.support.transition&&g.hasClass("fade")?g.one("bsTransitionEnd",c).emulateTransitionEnd(d.TRANSITION_DURATION):c())};var e=a.fn.alert;a.fn.alert=b,a.fn.alert.Constructor=d,a.fn.alert.noConflict=function(){return a.fn.alert=e,this},a(document).on("click.bs.alert.data-api",c,d.prototype.close)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.button"),f="object"==typeof b&&b;e||d.data("bs.button",e=new c(this,f)),"toggle"==b?e.toggle():b&&e.setState(b)})}var c=function(b,d){this.$element=a(b),this.options=a.extend({},c.DEFAULTS,d),this.isLoading=!1};c.VERSION="3.3.5",c.DEFAULTS={loadingText:"loading..."},c.prototype.setState=function(b){var c="disabled",d=this.$element,e=d.is("input")?"val":"html",f=d.data();b+="Text",null==f.resetText&&d.data("resetText",d[e]()),setTimeout(a.proxy(function(){d[e](null==f[b]?this.options[b]:f[b]),"loadingText"==b?(this.isLoading=!0,d.addClass(c).attr(c,c)):this.isLoading&&(this.isLoading=!1,d.removeClass(c).removeAttr(c))},this),0)},c.prototype.toggle=function(){var a=!0,b=this.$element.closest('[data-toggle="buttons"]');if(b.length){var c=this.$element.find("input");"radio"==c.prop("type")?(c.prop("checked")&&(a=!1),b.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==c.prop("type")&&(c.prop("checked")!==this.$element.hasClass("active")&&(a=!1),this.$element.toggleClass("active")),c.prop("checked",this.$element.hasClass("active")),a&&c.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var d=a.fn.button;a.fn.button=b,a.fn.button.Constructor=c,a.fn.button.noConflict=function(){return a.fn.button=d,this},a(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(c){var d=a(c.target);d.hasClass("btn")||(d=d.closest(".btn")),b.call(d,"toggle"),a(c.target).is('input[type="radio"]')||a(c.target).is('input[type="checkbox"]')||c.preventDefault()}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(b){a(b.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(b.type))})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.carousel"),f=a.extend({},c.DEFAULTS,d.data(),"object"==typeof b&&b),g="string"==typeof b?b:f.slide;e||d.data("bs.carousel",e=new c(this,f)),"number"==typeof b?e.to(b):g?e[g]():f.interval&&e.pause().cycle()})}var c=function(b,c){this.$element=a(b),this.$indicators=this.$element.find(".carousel-indicators"),this.options=c,this.paused=null,this.sliding=null,this.interval=null,this.$active=null,this.$items=null,this.options.keyboard&&this.$element.on("keydown.bs.carousel",a.proxy(this.keydown,this)),"hover"==this.options.pause&&!("ontouchstart"in document.documentElement)&&this.$element.on("mouseenter.bs.carousel",a.proxy(this.pause,this)).on("mouseleave.bs.carousel",a.proxy(this.cycle,this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=600,c.DEFAULTS={interval:5e3,pause:"hover",wrap:!0,keyboard:!0},c.prototype.keydown=function(a){if(!/input|textarea/i.test(a.target.tagName)){switch(a.which){case 37:this.prev();break;case 39:this.next();break;default:return}a.preventDefault()}},c.prototype.cycle=function(b){return b||(this.paused=!1),this.interval&&clearInterval(this.interval),this.options.interval&&!this.paused&&(this.interval=setInterval(a.proxy(this.next,this),this.options.interval)),this},c.prototype.getItemIndex=function(a){return this.$items=a.parent().children(".item"),this.$items.index(a||this.$active)},c.prototype.getItemForDirection=function(a,b){var c=this.getItemIndex(b),d="prev"==a&&0===c||"next"==a&&c==this.$items.length-1;if(d&&!this.options.wrap)return b;var e="prev"==a?-1:1,f=(c+e)%this.$items.length;return this.$items.eq(f)},c.prototype.to=function(a){var b=this,c=this.getItemIndex(this.$active=this.$element.find(".item.active"));return a>this.$items.length-1||0>a?void 0:this.sliding?this.$element.one("slid.bs.carousel",function(){b.to(a)}):c==a?this.pause().cycle():this.slide(a>c?"next":"prev",this.$items.eq(a))},c.prototype.pause=function(b){return b||(this.paused=!0),this.$element.find(".next, .prev").length&&a.support.transition&&(this.$element.trigger(a.support.transition.end),this.cycle(!0)),this.interval=clearInterval(this.interval),this},c.prototype.next=function(){return this.sliding?void 0:this.slide("next")},c.prototype.prev=function(){return this.sliding?void 0:this.slide("prev")},c.prototype.slide=function(b,d){var e=this.$element.find(".item.active"),f=d||this.getItemForDirection(b,e),g=this.interval,h="next"==b?"left":"right",i=this;if(f.hasClass("active"))return this.sliding=!1;var j=f[0],k=a.Event("slide.bs.carousel",{relatedTarget:j,direction:h});if(this.$element.trigger(k),!k.isDefaultPrevented()){if(this.sliding=!0,g&&this.pause(),this.$indicators.length){this.$indicators.find(".active").removeClass("active");var l=a(this.$indicators.children()[this.getItemIndex(f)]);l&&l.addClass("active")}var m=a.Event("slid.bs.carousel",{relatedTarget:j,direction:h});return a.support.transition&&this.$element.hasClass("slide")?(f.addClass(b),f[0].offsetWidth,e.addClass(h),f.addClass(h),e.one("bsTransitionEnd",function(){f.removeClass([b,h].join(" ")).addClass("active"),e.removeClass(["active",h].join(" ")),i.sliding=!1,setTimeout(function(){i.$element.trigger(m)},0)}).emulateTransitionEnd(c.TRANSITION_DURATION)):(e.removeClass("active"),f.addClass("active"),this.sliding=!1,this.$element.trigger(m)),g&&this.cycle(),this}};var d=a.fn.carousel;a.fn.carousel=b,a.fn.carousel.Constructor=c,a.fn.carousel.noConflict=function(){return a.fn.carousel=d,this};var e=function(c){var d,e=a(this),f=a(e.attr("data-target")||(d=e.attr("href"))&&d.replace(/.*(?=#[^\s]+$)/,""));if(f.hasClass("carousel")){var g=a.extend({},f.data(),e.data()),h=e.attr("data-slide-to");h&&(g.interval=!1),b.call(f,g),h&&f.data("bs.carousel").to(h),c.preventDefault()}};a(document).on("click.bs.carousel.data-api","[data-slide]",e).on("click.bs.carousel.data-api","[data-slide-to]",e),a(window).on("load",function(){a('[data-ride="carousel"]').each(function(){var c=a(this);b.call(c,c.data())})})}(jQuery),+function(a){"use strict";function b(b){var c,d=b.attr("data-target")||(c=b.attr("href"))&&c.replace(/.*(?=#[^\s]+$)/,"");return a(d)}function c(b){return this.each(function(){var c=a(this),e=c.data("bs.collapse"),f=a.extend({},d.DEFAULTS,c.data(),"object"==typeof b&&b);!e&&f.toggle&&/show|hide/.test(b)&&(f.toggle=!1),e||c.data("bs.collapse",e=new d(this,f)),"string"==typeof b&&e[b]()})}var d=function(b,c){this.$element=a(b),this.options=a.extend({},d.DEFAULTS,c),this.$trigger=a('[data-toggle="collapse"][href="#'+b.id+'"],[data-toggle="collapse"][data-target="#'+b.id+'"]'),this.transitioning=null,this.options.parent?this.$parent=this.getParent():this.addAriaAndCollapsedClass(this.$element,this.$trigger),this.options.toggle&&this.toggle()};d.VERSION="3.3.5",d.TRANSITION_DURATION=350,d.DEFAULTS={toggle:!0},d.prototype.dimension=function(){var a=this.$element.hasClass("width");return a?"width":"height"},d.prototype.show=function(){if(!this.transitioning&&!this.$element.hasClass("in")){var b,e=this.$parent&&this.$parent.children(".panel").children(".in, .collapsing");if(!(e&&e.length&&(b=e.data("bs.collapse"),b&&b.transitioning))){var f=a.Event("show.bs.collapse");if(this.$element.trigger(f),!f.isDefaultPrevented()){e&&e.length&&(c.call(e,"hide"),b||e.data("bs.collapse",null));var g=this.dimension();this.$element.removeClass("collapse").addClass("collapsing")[g](0).attr("aria-expanded",!0),this.$trigger.removeClass("collapsed").attr("aria-expanded",!0),this.transitioning=1;var h=function(){this.$element.removeClass("collapsing").addClass("collapse in")[g](""),this.transitioning=0,this.$element.trigger("shown.bs.collapse")};if(!a.support.transition)return h.call(this);var i=a.camelCase(["scroll",g].join("-"));this.$element.one("bsTransitionEnd",a.proxy(h,this)).emulateTransitionEnd(d.TRANSITION_DURATION)[g](this.$element[0][i])}}}},d.prototype.hide=function(){if(!this.transitioning&&this.$element.hasClass("in")){var b=a.Event("hide.bs.collapse");if(this.$element.trigger(b),!b.isDefaultPrevented()){var c=this.dimension();this.$element[c](this.$element[c]())[0].offsetHeight,this.$element.addClass("collapsing").removeClass("collapse in").attr("aria-expanded",!1),this.$trigger.addClass("collapsed").attr("aria-expanded",!1),this.transitioning=1;var e=function(){this.transitioning=0,this.$element.removeClass("collapsing").addClass("collapse").trigger("hidden.bs.collapse")};return a.support.transition?void this.$element[c](0).one("bsTransitionEnd",a.proxy(e,this)).emulateTransitionEnd(d.TRANSITION_DURATION):e.call(this)}}},d.prototype.toggle=function(){this[this.$element.hasClass("in")?"hide":"show"]()},d.prototype.getParent=function(){return a(this.options.parent).find('[data-toggle="collapse"][data-parent="'+this.options.parent+'"]').each(a.proxy(function(c,d){var e=a(d);this.addAriaAndCollapsedClass(b(e),e)},this)).end()},d.prototype.addAriaAndCollapsedClass=function(a,b){var c=a.hasClass("in");a.attr("aria-expanded",c),b.toggleClass("collapsed",!c).attr("aria-expanded",c)};var e=a.fn.collapse;a.fn.collapse=c,a.fn.collapse.Constructor=d,a.fn.collapse.noConflict=function(){return a.fn.collapse=e,this},a(document).on("click.bs.collapse.data-api",'[data-toggle="collapse"]',function(d){var e=a(this);e.attr("data-target")||d.preventDefault();var f=b(e),g=f.data("bs.collapse"),h=g?"toggle":e.data();c.call(f,h)})}(jQuery),+function(a){"use strict";function b(b){var c=b.attr("data-target");c||(c=b.attr("href"),c=c&&/#[A-Za-z]/.test(c)&&c.replace(/.*(?=#[^\s]*$)/,""));var d=c&&a(c);return d&&d.length?d:b.parent()}function c(c){c&&3===c.which||(a(e).remove(),a(f).each(function(){var d=a(this),e=b(d),f={relatedTarget:this};e.hasClass("open")&&(c&&"click"==c.type&&/input|textarea/i.test(c.target.tagName)&&a.contains(e[0],c.target)||(e.trigger(c=a.Event("hide.bs.dropdown",f)),c.isDefaultPrevented()||(d.attr("aria-expanded","false"),e.removeClass("open").trigger("hidden.bs.dropdown",f))))}))}function d(b){return this.each(function(){var c=a(this),d=c.data("bs.dropdown");d||c.data("bs.dropdown",d=new g(this)),"string"==typeof b&&d[b].call(c)})}var e=".dropdown-backdrop",f='[data-toggle="dropdown"]',g=function(b){a(b).on("click.bs.dropdown",this.toggle)};g.VERSION="3.3.5",g.prototype.toggle=function(d){var e=a(this);if(!e.is(".disabled, :disabled")){var f=b(e),g=f.hasClass("open");if(c(),!g){"ontouchstart"in document.documentElement&&!f.closest(".navbar-nav").length&&a(document.createElement("div")).addClass("dropdown-backdrop").insertAfter(a(this)).on("click",c);var h={relatedTarget:this};if(f.trigger(d=a.Event("show.bs.dropdown",h)),d.isDefaultPrevented())return;e.trigger("focus").attr("aria-expanded","true"),f.toggleClass("open").trigger("shown.bs.dropdown",h)}return!1}},g.prototype.keydown=function(c){if(/(38|40|27|32)/.test(c.which)&&!/input|textarea/i.test(c.target.tagName)){var d=a(this);if(c.preventDefault(),c.stopPropagation(),!d.is(".disabled, :disabled")){var e=b(d),g=e.hasClass("open");if(!g&&27!=c.which||g&&27==c.which)return 27==c.which&&e.find(f).trigger("focus"),d.trigger("click");var h=" li:not(.disabled):visible a",i=e.find(".dropdown-menu"+h);if(i.length){var j=i.index(c.target);38==c.which&&j>0&&j--,40==c.which&&j<i.length-1&&j++,~j||(j=0),i.eq(j).trigger("focus")}}}};var h=a.fn.dropdown;a.fn.dropdown=d,a.fn.dropdown.Constructor=g,a.fn.dropdown.noConflict=function(){return a.fn.dropdown=h,this},a(document).on("click.bs.dropdown.data-api",c).on("click.bs.dropdown.data-api",".dropdown form",function(a){a.stopPropagation()}).on("click.bs.dropdown.data-api",f,g.prototype.toggle).on("keydown.bs.dropdown.data-api",f,g.prototype.keydown).on("keydown.bs.dropdown.data-api",".dropdown-menu",g.prototype.keydown)}(jQuery),+function(a){"use strict";function b(b,d){return this.each(function(){var e=a(this),f=e.data("bs.modal"),g=a.extend({},c.DEFAULTS,e.data(),"object"==typeof b&&b);f||e.data("bs.modal",f=new c(this,g)),"string"==typeof b?f[b](d):g.show&&f.show(d)})}var c=function(b,c){this.options=c,this.$body=a(document.body),this.$element=a(b),this.$dialog=this.$element.find(".modal-dialog"),this.$backdrop=null,this.isShown=null,this.originalBodyPad=null,this.scrollbarWidth=0,this.ignoreBackdropClick=!1,this.options.remote&&this.$element.find(".modal-content").load(this.options.remote,a.proxy(function(){this.$element.trigger("loaded.bs.modal")},this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=300,c.BACKDROP_TRANSITION_DURATION=150,c.DEFAULTS={backdrop:!0,keyboard:!0,show:!0},c.prototype.toggle=function(a){return this.isShown?this.hide():this.show(a)},c.prototype.show=function(b){var d=this,e=a.Event("show.bs.modal",{relatedTarget:b});this.$element.trigger(e),this.isShown||e.isDefaultPrevented()||(this.isShown=!0,this.checkScrollbar(),this.setScrollbar(),this.$body.addClass("modal-open"),this.escape(),this.resize(),this.$element.on("click.dismiss.bs.modal",'[data-dismiss="modal"]',a.proxy(this.hide,this)),this.$dialog.on("mousedown.dismiss.bs.modal",function(){d.$element.one("mouseup.dismiss.bs.modal",function(b){a(b.target).is(d.$element)&&(d.ignoreBackdropClick=!0)})}),this.backdrop(function(){var e=a.support.transition&&d.$element.hasClass("fade");d.$element.parent().length||d.$element.appendTo(d.$body),d.$element.show().scrollTop(0),d.adjustDialog(),e&&d.$element[0].offsetWidth,d.$element.addClass("in"),d.enforceFocus();var f=a.Event("shown.bs.modal",{relatedTarget:b});e?d.$dialog.one("bsTransitionEnd",function(){d.$element.trigger("focus").trigger(f)}).emulateTransitionEnd(c.TRANSITION_DURATION):d.$element.trigger("focus").trigger(f)}))},c.prototype.hide=function(b){b&&b.preventDefault(),b=a.Event("hide.bs.modal"),this.$element.trigger(b),this.isShown&&!b.isDefaultPrevented()&&(this.isShown=!1,this.escape(),this.resize(),a(document).off("focusin.bs.modal"),this.$element.removeClass("in").off("click.dismiss.bs.modal").off("mouseup.dismiss.bs.modal"),this.$dialog.off("mousedown.dismiss.bs.modal"),a.support.transition&&this.$element.hasClass("fade")?this.$element.one("bsTransitionEnd",a.proxy(this.hideModal,this)).emulateTransitionEnd(c.TRANSITION_DURATION):this.hideModal())},c.prototype.enforceFocus=function(){a(document).off("focusin.bs.modal").on("focusin.bs.modal",a.proxy(function(a){this.$element[0]===a.target||this.$element.has(a.target).length||this.$element.trigger("focus")},this))},c.prototype.escape=function(){this.isShown&&this.options.keyboard?this.$element.on("keydown.dismiss.bs.modal",a.proxy(function(a){27==a.which&&this.hide()},this)):this.isShown||this.$element.off("keydown.dismiss.bs.modal")},c.prototype.resize=function(){this.isShown?a(window).on("resize.bs.modal",a.proxy(this.handleUpdate,this)):a(window).off("resize.bs.modal")},c.prototype.hideModal=function(){var a=this;this.$element.hide(),this.backdrop(function(){a.$body.removeClass("modal-open"),a.resetAdjustments(),a.resetScrollbar(),a.$element.trigger("hidden.bs.modal")})},c.prototype.removeBackdrop=function(){this.$backdrop&&this.$backdrop.remove(),this.$backdrop=null},c.prototype.backdrop=function(b){var d=this,e=this.$element.hasClass("fade")?"fade":"";if(this.isShown&&this.options.backdrop){var f=a.support.transition&&e;if(this.$backdrop=a(document.createElement("div")).addClass("modal-backdrop "+e).appendTo(this.$body),this.$element.on("click.dismiss.bs.modal",a.proxy(function(a){return this.ignoreBackdropClick?void(this.ignoreBackdropClick=!1):void(a.target===a.currentTarget&&("static"==this.options.backdrop?this.$element[0].focus():this.hide()))},this)),f&&this.$backdrop[0].offsetWidth,this.$backdrop.addClass("in"),!b)return;f?this.$backdrop.one("bsTransitionEnd",b).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):b()}else if(!this.isShown&&this.$backdrop){this.$backdrop.removeClass("in");var g=function(){d.removeBackdrop(),b&&b()};a.support.transition&&this.$element.hasClass("fade")?this.$backdrop.one("bsTransitionEnd",g).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):g()}else b&&b()},c.prototype.handleUpdate=function(){this.adjustDialog()},c.prototype.adjustDialog=function(){var a=this.$element[0].scrollHeight>document.documentElement.clientHeight;this.$element.css({paddingLeft:!this.bodyIsOverflowing&&a?this.scrollbarWidth:"",paddingRight:this.bodyIsOverflowing&&!a?this.scrollbarWidth:""})},c.prototype.resetAdjustments=function(){this.$element.css({paddingLeft:"",paddingRight:""})},c.prototype.checkScrollbar=function(){var a=window.innerWidth;if(!a){var b=document.documentElement.getBoundingClientRect();a=b.right-Math.abs(b.left)}this.bodyIsOverflowing=document.body.clientWidth<a,this.scrollbarWidth=this.measureScrollbar()},c.prototype.setScrollbar=function(){var a=parseInt(this.$body.css("padding-right")||0,10);this.originalBodyPad=document.body.style.paddingRight||"",this.bodyIsOverflowing&&this.$body.css("padding-right",a+this.scrollbarWidth)},c.prototype.resetScrollbar=function(){this.$body.css("padding-right",this.originalBodyPad)},c.prototype.measureScrollbar=function(){var a=document.createElement("div");a.className="modal-scrollbar-measure",this.$body.append(a);var b=a.offsetWidth-a.clientWidth;return this.$body[0].removeChild(a),b};var d=a.fn.modal;a.fn.modal=b,a.fn.modal.Constructor=c,a.fn.modal.noConflict=function(){return a.fn.modal=d,this},a(document).on("click.bs.modal.data-api",'[data-toggle="modal"]',function(c){var d=a(this),e=d.attr("href"),f=a(d.attr("data-target")||e&&e.replace(/.*(?=#[^\s]+$)/,"")),g=f.data("bs.modal")?"toggle":a.extend({remote:!/#/.test(e)&&e},f.data(),d.data());d.is("a")&&c.preventDefault(),f.one("show.bs.modal",function(a){a.isDefaultPrevented()||f.one("hidden.bs.modal",function(){d.is(":visible")&&d.trigger("focus")})}),b.call(f,g,this)})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tooltip"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.tooltip",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.type=null,this.options=null,this.enabled=null,this.timeout=null,this.hoverState=null,this.$element=null,this.inState=null,this.init("tooltip",a,b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.DEFAULTS={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1,viewport:{selector:"body",padding:0}},c.prototype.init=function(b,c,d){if(this.enabled=!0,this.type=b,this.$element=a(c),this.options=this.getOptions(d),this.$viewport=this.options.viewport&&a(a.isFunction(this.options.viewport)?this.options.viewport.call(this,this.$element):this.options.viewport.selector||this.options.viewport),this.inState={click:!1,hover:!1,focus:!1},this.$element[0]instanceof document.constructor&&!this.options.selector)throw new Error("`selector` option must be specified when initializing "+this.type+" on the window.document object!");for(var e=this.options.trigger.split(" "),f=e.length;f--;){var g=e[f];if("click"==g)this.$element.on("click."+this.type,this.options.selector,a.proxy(this.toggle,this));else if("manual"!=g){var h="hover"==g?"mouseenter":"focusin",i="hover"==g?"mouseleave":"focusout";this.$element.on(h+"."+this.type,this.options.selector,a.proxy(this.enter,this)),this.$element.on(i+"."+this.type,this.options.selector,a.proxy(this.leave,this))}}this.options.selector?this._options=a.extend({},this.options,{trigger:"manual",selector:""}):this.fixTitle()},c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.getOptions=function(b){return b=a.extend({},this.getDefaults(),this.$element.data(),b),b.delay&&"number"==typeof b.delay&&(b.delay={show:b.delay,hide:b.delay}),b},c.prototype.getDelegateOptions=function(){var b={},c=this.getDefaults();return this._options&&a.each(this._options,function(a,d){c[a]!=d&&(b[a]=d)}),b},c.prototype.enter=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusin"==b.type?"focus":"hover"]=!0),c.tip().hasClass("in")||"in"==c.hoverState?void(c.hoverState="in"):(clearTimeout(c.timeout),c.hoverState="in",c.options.delay&&c.options.delay.show?void(c.timeout=setTimeout(function(){"in"==c.hoverState&&c.show()},c.options.delay.show)):c.show())},c.prototype.isInStateTrue=function(){for(var a in this.inState)if(this.inState[a])return!0;return!1},c.prototype.leave=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusout"==b.type?"focus":"hover"]=!1),c.isInStateTrue()?void 0:(clearTimeout(c.timeout),c.hoverState="out",c.options.delay&&c.options.delay.hide?void(c.timeout=setTimeout(function(){"out"==c.hoverState&&c.hide()},c.options.delay.hide)):c.hide())},c.prototype.show=function(){var b=a.Event("show.bs."+this.type);if(this.hasContent()&&this.enabled){this.$element.trigger(b);var d=a.contains(this.$element[0].ownerDocument.documentElement,this.$element[0]);if(b.isDefaultPrevented()||!d)return;var e=this,f=this.tip(),g=this.getUID(this.type);this.setContent(),f.attr("id",g),this.$element.attr("aria-describedby",g),this.options.animation&&f.addClass("fade");var h="function"==typeof this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\s?auto?\s?/i,j=i.test(h);j&&(h=h.replace(i,"")||"top"),f.detach().css({top:0,left:0,display:"block"}).addClass(h).data("bs."+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger("inserted.bs."+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h="bottom"==h&&k.bottom+m>o.bottom?"top":"top"==h&&k.top-m<o.top?"bottom":"right"==h&&k.right+l>o.width?"left":"left"==h&&k.left-l<o.left?"right":h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger("shown.bs."+e.type),e.hoverState=null,"out"==a&&e.leave(e)};a.support.transition&&this.$tip.hasClass("fade")?f.one("bsTransitionEnd",q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css("margin-top"),10),h=parseInt(d.css("margin-left"),10);isNaN(g)&&(g=0),isNaN(h)&&(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass("in");var i=d[0].offsetWidth,j=d[0].offsetHeight;"top"==c&&j!=f&&(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?"offsetWidth":"offsetHeight";d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?"left":"top",50*(1-a/b)+"%").css(c?"top":"left","")},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(".tooltip-inner")[this.options.html?"html":"text"](b),a.removeClass("fade in top bottom left right")},c.prototype.hide=function(b){function d(){"in"!=e.hoverState&&f.detach(),e.$element.removeAttr("aria-describedby").trigger("hidden.bs."+e.type),b&&b()}var e=this,f=a(this.$tip),g=a.Event("hide.bs."+this.type);return this.$element.trigger(g),g.isDefaultPrevented()?void 0:(f.removeClass("in"),a.support.transition&&f.hasClass("fade")?f.one("bsTransitionEnd",d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this)},c.prototype.fixTitle=function(){var a=this.$element;(a.attr("title")||"string"!=typeof a.attr("data-original-title"))&&a.attr("data-original-title",a.attr("title")||"").attr("title","")},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d="BODY"==c.tagName,e=c.getBoundingClientRect();null==e.width&&(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=d?{top:0,left:0}:b.offset(),g={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},h=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,g,h,f)},c.prototype.getCalculatedOffset=function(a,b,c,d){return"bottom"==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:"top"==a?{top:b.top-d,left:b.left+b.width/2-c/2}:"left"==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&&this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h<g.top?e.top=g.top-h:i>g.top+g.height&&(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j<g.left?e.left=g.left-j:k>g.right&&(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr("data-original-title")||("function"==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&&(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+" `template` option must consist of exactly 1 top-level element!");return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&&(c=a(b.currentTarget).data("bs."+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass("in")?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off("."+a.type).removeData("bs."+a.type),a.$tip&&a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.popover"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.popover",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.init("popover",a,b)};if(!a.fn.tooltip)throw new Error("Popover requires tooltip.js");c.VERSION="3.3.5",c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(".popover-title")[this.options.html?"html":"text"](b),a.find(".popover-content").children().detach().end()[this.options.html?"string"==typeof c?"html":"append":"text"](c),a.removeClass("fade top bottom left right in"),a.find(".popover-title").html()||a.find(".popover-title").hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr("data-content")||("function"==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){"use strict";function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data("bs.scrollspy"),f="object"==typeof c&&c;e||d.data("bs.scrollspy",e=new b(this,f)),"string"==typeof c&&e[c]()})}b.VERSION="3.3.5",b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c="offset",d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c="position",d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data("target")||b.attr("href"),f=/^#./.test(e)&&a(e);return f&&f.length&&f.is(":visible")&&[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&&this.refresh(),b>=d)return g!=(a=f[f.length-1])&&this.activate(a);if(g&&b<e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&&b>=e[a]&&(void 0===e[a+1]||b<e[a+1])&&this.activate(f[a])},b.prototype.activate=function(b){this.activeTarget=b,this.clear();var c=this.selector+'[data-target="'+b+'"],'+this.selector+'[href="'+b+'"]',d=a(c).parents("li").addClass("active");d.parent(".dropdown-menu").length&&(d=d.closest("li.dropdown").addClass("active")),
d.trigger("activate.bs.scrollspy")},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on("load.bs.scrollspy.data-api",function(){a('[data-spy="scroll"]').each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tab");e||d.data("bs.tab",e=new c(this)),"string"==typeof b&&e[b]()})}var c=function(b){this.element=a(b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest("ul:not(.dropdown-menu)"),d=b.data("target");if(d||(d=b.attr("href"),d=d&&d.replace(/.*(?=#[^\s]*$)/,"")),!b.parent("li").hasClass("active")){var e=c.find(".active:last a"),f=a.Event("hide.bs.tab",{relatedTarget:b[0]}),g=a.Event("show.bs.tab",{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&&!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest("li"),c),this.activate(h,h.parent(),function(){e.trigger({type:"hidden.bs.tab",relatedTarget:b[0]}),b.trigger({type:"shown.bs.tab",relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),b.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),h?(b[0].offsetWidth,b.addClass("in")):b.removeClass("fade"),b.parent(".dropdown-menu").length&&b.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),e&&e()}var g=d.find("> .active"),h=e&&a.support.transition&&(g.length&&g.hasClass("fade")||!!d.find("> .fade").length);g.length&&h?g.one("bsTransitionEnd",f).emulateTransitionEnd(c.TRANSITION_DURATION):f(),g.removeClass("in")};var d=a.fn.tab;a.fn.tab=b,a.fn.tab.Constructor=c,a.fn.tab.noConflict=function(){return a.fn.tab=d,this};var e=function(c){c.preventDefault(),b.call(a(this),"show")};a(document).on("click.bs.tab.data-api",'[data-toggle="tab"]',e).on("click.bs.tab.data-api",'[data-toggle="pill"]',e)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.affix"),f="object"==typeof b&&b;e||d.data("bs.affix",e=new c(this,f)),"string"==typeof b&&e[b]()})}var c=function(b,d){this.options=a.extend({},c.DEFAULTS,d),this.$target=a(this.options.target).on("scroll.bs.affix.data-api",a.proxy(this.checkPosition,this)).on("click.bs.affix.data-api",a.proxy(this.checkPositionWithEventLoop,this)),this.$element=a(b),this.affixed=null,this.unpin=null,this.pinnedOffset=null,this.checkPosition()};c.VERSION="3.3.5",c.RESET="affix affix-top affix-bottom",c.DEFAULTS={offset:0,target:window},c.prototype.getState=function(a,b,c,d){var e=this.$target.scrollTop(),f=this.$element.offset(),g=this.$target.height();if(null!=c&&"top"==this.affixed)return c>e?"top":!1;if("bottom"==this.affixed)return null!=c?e+this.unpin<=f.top?!1:"bottom":a-d>=e+g?!1:"bottom";var h=null==this.affixed,i=h?e:f.top,j=h?g:b;return null!=c&&c>=e?"top":null!=d&&i+j>=a-d?"bottom":!1},c.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(c.RESET).addClass("affix");var a=this.$target.scrollTop(),b=this.$element.offset();return this.pinnedOffset=b.top-a},c.prototype.checkPositionWithEventLoop=function(){setTimeout(a.proxy(this.checkPosition,this),1)},c.prototype.checkPosition=function(){if(this.$element.is(":visible")){var b=this.$element.height(),d=this.options.offset,e=d.top,f=d.bottom,g=Math.max(a(document).height(),a(document.body).height());"object"!=typeof d&&(f=e=d),"function"==typeof e&&(e=d.top(this.$element)),"function"==typeof f&&(f=d.bottom(this.$element));var h=this.getState(g,b,e,f);if(this.affixed!=h){null!=this.unpin&&this.$element.css("top","");var i="affix"+(h?"-"+h:""),j=a.Event(i+".bs.affix");if(this.$element.trigger(j),j.isDefaultPrevented())return;this.affixed=h,this.unpin="bottom"==h?this.getPinnedOffset():null,this.$element.removeClass(c.RESET).addClass(i).trigger(i.replace("affix","affixed")+".bs.affix")}"bottom"==h&&this.$element.offset({top:g-b-f})}};var d=a.fn.affix;a.fn.affix=b,a.fn.affix.Constructor=c,a.fn.affix.noConflict=function(){return a.fn.affix=d,this},a(window).on("load",function(){a('[data-spy="affix"]').each(function(){var c=a(this),d=c.data();d.offset=d.offset||{},null!=d.offsetBottom&&(d.offset.bottom=d.offsetBottom),null!=d.offsetTop&&(d.offset.top=d.offsetTop),b.call(c,d)})})}(jQuery);</script>
<script>/**
* @preserve HTML5 Shiv 3.7.2 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
*/
// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.2",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b)}(this,document);
};
</script>
<script>/*! Respond.js v1.4.2: min/max-width media query polyfill * Copyright 2013 Scott Jehl
 * Licensed under https://github.com/scottjehl/Respond/blob/master/LICENSE-MIT
 *  */

// Only run this code in IE 8
if (!!window.navigator.userAgent.match("MSIE 8")) {
!function(a){"use strict";a.matchMedia=a.matchMedia||function(a){var b,c=a.documentElement,d=c.firstElementChild||c.firstChild,e=a.createElement("body"),f=a.createElement("div");return f.id="mq-test-1",f.style.cssText="position:absolute;top:-100em",e.style.background="none",e.appendChild(f),function(a){return f.innerHTML='&shy;<style media="'+a+'"> #mq-test-1 { width: 42px; }</style>',c.insertBefore(e,d),b=42===f.offsetWidth,c.removeChild(e),{matches:b,media:a}}}(a.document)}(this),function(a){"use strict";function b(){u(!0)}var c={};a.respond=c,c.update=function(){};var d=[],e=function(){var b=!1;try{b=new a.XMLHttpRequest}catch(c){b=new a.ActiveXObject("Microsoft.XMLHTTP")}return function(){return b}}(),f=function(a,b){var c=e();c&&(c.open("GET",a,!0),c.onreadystatechange=function(){4!==c.readyState||200!==c.status&&304!==c.status||b(c.responseText)},4!==c.readyState&&c.send(null))};if(c.ajax=f,c.queue=d,c.regex={media:/@media[^\{]+\{([^\{\}]*\{[^\}\{]*\})+/gi,keyframes:/@(?:\-(?:o|moz|webkit)\-)?keyframes[^\{]+\{(?:[^\{\}]*\{[^\}\{]*\})+[^\}]*\}/gi,urls:/(url\()['"]?([^\/\)'"][^:\)'"]+)['"]?(\))/g,findStyles:/@media *([^\{]+)\{([\S\s]+?)$/,only:/(only\s+)?([a-zA-Z]+)\s?/,minw:/\([\s]*min\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/,maxw:/\([\s]*max\-width\s*:[\s]*([\s]*[0-9\.]+)(px|em)[\s]*\)/},c.mediaQueriesSupported=a.matchMedia&&null!==a.matchMedia("only all")&&a.matchMedia("only all").matches,!c.mediaQueriesSupported){var g,h,i,j=a.document,k=j.documentElement,l=[],m=[],n=[],o={},p=30,q=j.getElementsByTagName("head")[0]||k,r=j.getElementsByTagName("base")[0],s=q.getElementsByTagName("link"),t=function(){var a,b=j.createElement("div"),c=j.body,d=k.style.fontSize,e=c&&c.style.fontSize,f=!1;return b.style.cssText="position:absolute;font-size:1em;width:1em",c||(c=f=j.createElement("body"),c.style.background="none"),k.style.fontSize="100%",c.style.fontSize="100%",c.appendChild(b),f&&k.insertBefore(c,k.firstChild),a=b.offsetWidth,f?k.removeChild(c):c.removeChild(b),k.style.fontSize=d,e&&(c.style.fontSize=e),a=i=parseFloat(a)},u=function(b){var c="clientWidth",d=k[c],e="CSS1Compat"===j.compatMode&&d||j.body[c]||d,f={},o=s[s.length-1],r=(new Date).getTime();if(b&&g&&p>r-g)return a.clearTimeout(h),h=a.setTimeout(u,p),void 0;g=r;for(var v in l)if(l.hasOwnProperty(v)){var w=l[v],x=w.minw,y=w.maxw,z=null===x,A=null===y,B="em";x&&(x=parseFloat(x)*(x.indexOf(B)>-1?i||t():1)),y&&(y=parseFloat(y)*(y.indexOf(B)>-1?i||t():1)),w.hasquery&&(z&&A||!(z||e>=x)||!(A||y>=e))||(f[w.media]||(f[w.media]=[]),f[w.media].push(m[w.rules]))}for(var C in n)n.hasOwnProperty(C)&&n[C]&&n[C].parentNode===q&&q.removeChild(n[C]);n.length=0;for(var D in f)if(f.hasOwnProperty(D)){var E=j.createElement("style"),F=f[D].join("\n");E.type="text/css",E.media=D,q.insertBefore(E,o.nextSibling),E.styleSheet?E.styleSheet.cssText=F:E.appendChild(j.createTextNode(F)),n.push(E)}},v=function(a,b,d){var e=a.replace(c.regex.keyframes,"").match(c.regex.media),f=e&&e.length||0;b=b.substring(0,b.lastIndexOf("/"));var g=function(a){return a.replace(c.regex.urls,"$1"+b+"$2$3")},h=!f&&d;b.length&&(b+="/"),h&&(f=1);for(var i=0;f>i;i++){var j,k,n,o;h?(j=d,m.push(g(a))):(j=e[i].match(c.regex.findStyles)&&RegExp.$1,m.push(RegExp.$2&&g(RegExp.$2))),n=j.split(","),o=n.length;for(var p=0;o>p;p++)k=n[p],l.push({media:k.split("(")[0].match(c.regex.only)&&RegExp.$2||"all",rules:m.length-1,hasquery:k.indexOf("(")>-1,minw:k.match(c.regex.minw)&&parseFloat(RegExp.$1)+(RegExp.$2||""),maxw:k.match(c.regex.maxw)&&parseFloat(RegExp.$1)+(RegExp.$2||"")})}u()},w=function(){if(d.length){var b=d.shift();f(b.href,function(c){v(c,b.href,b.media),o[b.href]=!0,a.setTimeout(function(){w()},0)})}},x=function(){for(var b=0;b<s.length;b++){var c=s[b],e=c.href,f=c.media,g=c.rel&&"stylesheet"===c.rel.toLowerCase();e&&g&&!o[e]&&(c.styleSheet&&c.styleSheet.rawCssText?(v(c.styleSheet.rawCssText,e,f),o[e]=!0):(!/^([a-zA-Z:]*\/\/)/.test(e)&&!r||e.replace(RegExp.$1,"").split("/")[0]===a.location.host)&&("//"===e.substring(0,2)&&(e=a.location.protocol+e),d.push({href:e,media:f})))}w()};x(),c.update=x,c.getEmValue=t,a.addEventListener?a.addEventListener("resize",b,!1):a.attachEvent&&a.attachEvent("onresize",b)}}(this);
};
</script>
<style>h1 {font-size: 34px;}
       h1.title {font-size: 38px;}
       h2 {font-size: 30px;}
       h3 {font-size: 24px;}
       h4 {font-size: 18px;}
       h5 {font-size: 16px;}
       h6 {font-size: 12px;}
       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
       pre:not([class]) { background-color: white }</style>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
<script>$(document).ready(function(){
    if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') {
        $('[data-toggle="tooltip"]').tooltip();
    }
    if ($('[data-toggle="popover"]').popover === 'function') {
        $('[data-toggle="popover"]').popover();
    }
});
</script>
<style type="text/css">
.lightable-minimal {
border-collapse: separate;
border-spacing: 16px 1px;
width: 100%;
margin-bottom: 10px;
}
.lightable-minimal td {
margin-left: 5px;
margin-right: 5px;
}
.lightable-minimal th {
margin-left: 5px;
margin-right: 5px;
}
.lightable-minimal thead tr:last-child th {
border-bottom: 2px solid #00000050;
empty-cells: hide;
}
.lightable-minimal tbody tr:first-child td {
padding-top: 0.5em;
}
.lightable-minimal.lightable-hover tbody tr:hover {
background-color: #f5f5f5;
}
.lightable-minimal.lightable-striped tbody tr:nth-child(even) {
background-color: #f5f5f5;
}
.lightable-classic {
border-top: 0.16em solid #111111;
border-bottom: 0.16em solid #111111;
width: 100%;
margin-bottom: 10px;
margin: 10px 5px;
}
.lightable-classic tfoot tr td {
border: 0;
}
.lightable-classic tfoot tr:first-child td {
border-top: 0.14em solid #111111;
}
.lightable-classic caption {
color: #222222;
}
.lightable-classic td {
padding-left: 5px;
padding-right: 5px;
color: #222222;
}
.lightable-classic th {
padding-left: 5px;
padding-right: 5px;
font-weight: normal;
color: #222222;
}
.lightable-classic thead tr:last-child th {
border-bottom: 0.10em solid #111111;
}
.lightable-classic.lightable-hover tbody tr:hover {
background-color: #F9EEC1;
}
.lightable-classic.lightable-striped tbody tr:nth-child(even) {
background-color: #f5f5f5;
}
.lightable-classic-2 {
border-top: 3px double #111111;
border-bottom: 3px double #111111;
width: 100%;
margin-bottom: 10px;
}
.lightable-classic-2 tfoot tr td {
border: 0;
}
.lightable-classic-2 tfoot tr:first-child td {
border-top: 3px double #111111;
}
.lightable-classic-2 caption {
color: #222222;
}
.lightable-classic-2 td {
padding-left: 5px;
padding-right: 5px;
color: #222222;
}
.lightable-classic-2 th {
padding-left: 5px;
padding-right: 5px;
font-weight: normal;
color: #222222;
}
.lightable-classic-2 tbody tr:last-child td {
border-bottom: 3px double #111111;
}
.lightable-classic-2 thead tr:last-child th {
border-bottom: 1px solid #111111;
}
.lightable-classic-2.lightable-hover tbody tr:hover {
background-color: #F9EEC1;
}
.lightable-classic-2.lightable-striped tbody tr:nth-child(even) {
background-color: #f5f5f5;
}
.lightable-material {
min-width: 100%;
white-space: nowrap;
table-layout: fixed;
font-family: Roboto, sans-serif;
border: 1px solid #EEE;
border-collapse: collapse;
margin-bottom: 10px;
}
.lightable-material tfoot tr td {
border: 0;
}
.lightable-material tfoot tr:first-child td {
border-top: 1px solid #EEE;
}
.lightable-material th {
height: 56px;
padding-left: 16px;
padding-right: 16px;
}
.lightable-material td {
height: 52px;
padding-left: 16px;
padding-right: 16px;
border-top: 1px solid #eeeeee;
}
.lightable-material.lightable-hover tbody tr:hover {
background-color: #f5f5f5;
}
.lightable-material.lightable-striped tbody tr:nth-child(even) {
background-color: #f5f5f5;
}
.lightable-material.lightable-striped tbody td {
border: 0;
}
.lightable-material.lightable-striped thead tr:last-child th {
border-bottom: 1px solid #ddd;
}
.lightable-material-dark {
min-width: 100%;
white-space: nowrap;
table-layout: fixed;
font-family: Roboto, sans-serif;
border: 1px solid #FFFFFF12;
border-collapse: collapse;
margin-bottom: 10px;
background-color: #363640;
}
.lightable-material-dark tfoot tr td {
border: 0;
}
.lightable-material-dark tfoot tr:first-child td {
border-top: 1px solid #FFFFFF12;
}
.lightable-material-dark th {
height: 56px;
padding-left: 16px;
padding-right: 16px;
color: #FFFFFF60;
}
.lightable-material-dark td {
height: 52px;
padding-left: 16px;
padding-right: 16px;
color: #FFFFFF;
border-top: 1px solid #FFFFFF12;
}
.lightable-material-dark.lightable-hover tbody tr:hover {
background-color: #FFFFFF12;
}
.lightable-material-dark.lightable-striped tbody tr:nth-child(even) {
background-color: #FFFFFF12;
}
.lightable-material-dark.lightable-striped tbody td {
border: 0;
}
.lightable-material-dark.lightable-striped thead tr:last-child th {
border-bottom: 1px solid #FFFFFF12;
}
.lightable-paper {
width: 100%;
margin-bottom: 10px;
color: #444;
}
.lightable-paper tfoot tr td {
border: 0;
}
.lightable-paper tfoot tr:first-child td {
border-top: 1px solid #00000020;
}
.lightable-paper thead tr:last-child th {
color: #666;
vertical-align: bottom;
border-bottom: 1px solid #00000020;
line-height: 1.15em;
padding: 10px 5px;
}
.lightable-paper td {
vertical-align: middle;
border-bottom: 1px solid #00000010;
line-height: 1.15em;
padding: 7px 5px;
}
.lightable-paper.lightable-hover tbody tr:hover {
background-color: #F9EEC1;
}
.lightable-paper.lightable-striped tbody tr:nth-child(even) {
background-color: #00000008;
}
.lightable-paper.lightable-striped tbody td {
border: 0;
}
</style>

<style type="text/css">
  code{white-space: pre-wrap;}
  span.smallcaps{font-variant: small-caps;}
  span.underline{text-decoration: underline;}
  div.column{display: inline-block; vertical-align: top; width: 50%;}
  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
  ul.task-list{list-style: none;}
    </style>


<style type="text/css">
  code {
    white-space: pre;
  }
  .sourceCode {
    overflow: visible;
  }
</style>
<style type="text/css" data-origin="pandoc">
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { display: inline-block; line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
.sourceCode { overflow: visible; }
code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
  { counter-reset: source-line 0; }
pre.numberSource code > span
  { position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
  { content: counter(source-line);
    position: relative; left: -1em; text-align: right; vertical-align: baseline;
    border: none; display: inline-block;
    -webkit-touch-callout: none; -webkit-user-select: none;
    -khtml-user-select: none; -moz-user-select: none;
    -ms-user-select: none; user-select: none;
    padding: 0 4px; width: 4em;
    background-color: #ffffff;
    color: #a0a0a0;
  }
pre.numberSource { margin-left: 3em; border-left: 1px solid #a0a0a0;  padding-left: 4px; }
div.sourceCode
  { color: #1f1c1b; background-color: #ffffff; }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span { color: #1f1c1b; } /* Normal */
code span.al { color: #bf0303; background-color: #f7e6e6; font-weight: bold; } /* Alert */
code span.an { color: #ca60ca; } /* Annotation */
code span.at { color: #0057ae; } /* Attribute */
code span.bn { color: #b08000; } /* BaseN */
code span.bu { color: #644a9b; font-weight: bold; } /* BuiltIn */
code span.cf { color: #1f1c1b; font-weight: bold; } /* ControlFlow */
code span.ch { color: #924c9d; } /* Char */
code span.cn { color: #aa5500; } /* Constant */
code span.co { color: #898887; } /* Comment */
code span.cv { color: #0095ff; } /* CommentVar */
code span.do { color: #607880; } /* Documentation */
code span.dt { color: #0057ae; } /* DataType */
code span.dv { color: #b08000; } /* DecVal */
code span.er { color: #bf0303; text-decoration: underline; } /* Error */
code span.ex { color: #0095ff; font-weight: bold; } /* Extension */
code span.fl { color: #b08000; } /* Float */
code span.fu { color: #644a9b; } /* Function */
code span.im { color: #ff5500; } /* Import */
code span.in { color: #b08000; } /* Information */
code span.kw { color: #1f1c1b; font-weight: bold; } /* Keyword */
code span.op { color: #1f1c1b; } /* Operator */
code span.ot { color: #006e28; } /* Other */
code span.pp { color: #006e28; } /* Preprocessor */
code span.re { color: #0057ae; background-color: #e0e9f8; } /* RegionMarker */
code span.sc { color: #3daee9; } /* SpecialChar */
code span.ss { color: #ff5500; } /* SpecialString */
code span.st { color: #bf0303; } /* String */
code span.va { color: #0057ae; } /* Variable */
code span.vs { color: #bf0303; } /* VerbatimString */
code span.wa { color: #bf0303; } /* Warning */

</style>
<script>
// apply pandoc div.sourceCode style to pre.sourceCode instead
(function() {
  var sheets = document.styleSheets;
  for (var i = 0; i < sheets.length; i++) {
    if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
    try { var rules = sheets[i].cssRules; } catch (e) { continue; }
    for (var j = 0; j < rules.length; j++) {
      var rule = rules[j];
      // check if there is a div.sourceCode rule
      if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
      var style = rule.style.cssText;
      // check if color or background-color is set
      if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
      // replace div.sourceCode by a pre.sourceCode rule
      sheets[i].deleteRule(j);
      sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
    }
  }
})();
</script>


<style type="text/css">
.main-container {
  max-width: 940px;
  margin-left: auto;
  margin-right: auto;
}
img {
  max-width:100%;
}
.tabbed-pane {
  padding-top: 12px;
}
.html-widget {
  margin-bottom: 20px;
}
button.code-folding-btn:focus {
  outline: none;
}
summary {
  display: list-item;
}
details > summary > p:only-child {
  display: inline;
}
pre code {
  padding: 0;
}
</style>


<!-- tabsets -->

<style type="text/css">
.tabset-dropdown > .nav-tabs {
  display: inline-table;
  max-height: 500px;
  min-height: 44px;
  overflow-y: auto;
  border: 1px solid #ddd;
  border-radius: 4px;
}

.tabset-dropdown > .nav-tabs > li.active:before {
  content: "";
  font-family: 'Glyphicons Halflings';
  display: inline-block;
  padding: 10px;
  border-right: 1px solid #ddd;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
  content: "";
  border: none;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open:before {
  content: "";
  font-family: 'Glyphicons Halflings';
  display: inline-block;
  padding: 10px;
  border-right: 1px solid #ddd;
}

.tabset-dropdown > .nav-tabs > li.active {
  display: block;
}

.tabset-dropdown > .nav-tabs > li > a,
.tabset-dropdown > .nav-tabs > li > a:focus,
.tabset-dropdown > .nav-tabs > li > a:hover {
  border: none;
  display: inline-block;
  border-radius: 4px;
  background-color: transparent;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
  display: block;
  float: none;
}

.tabset-dropdown > .nav-tabs > li {
  display: none;
}
</style>

<!-- code folding -->


</head>

<body>


<div class="container-fluid main-container">


<div id="header">


<h1 class="title toc-ignore">Fatores perinatais e desenvolvimento de
transtorno bipolar</h1>
<h4 class="author">Bruno Montezano</h4>
<h4 class="date">2022-08-06</h4>

</div>


<div id="introdução" class="section level2">
<h2>Introdução</h2>
<p>O presente trabalho almeja observar os efeitos de fatores perinatais
e do aleitamento materno no desenvolvimento de transtorno bipolar (TB)
aos 18 e 22 anos de idade. Os dados utilizados para tal foram coletados
em uma coorte de nascimento coordenada pelo Centro de Epidemiologia da
Universidade Federal de Pelotas intitulada “Coorte de 1993”.</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Seed para reprodutibilidade dos resultados</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">1</span>)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Carrega dados da Coorte de 1993</span></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>dados_coorte <span class="ot">&lt;-</span> haven<span class="sc">::</span><span class="fu">read_sav</span>(<span class="st">&quot;data/banco_QI_15_07.sav&quot;</span>,</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>                                <span class="at">user_na =</span> <span class="cn">FALSE</span>)</span></code></pre></div>
</div>
<div id="transtorno-bipolar" class="section level2">
<h2>Transtorno bipolar</h2>
<p>O diagnóstico de transtorno bipolar será calculado pela MINI (Mini
International Neuropsychiatric Interview) por meio dos critérios
diagnósticos do DSM-IV. Serão calculados diagnósticos de transtorno
bipolar tipo I e transtorno bipolar tipo II.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Número de sujeitos incluídos</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>dados_coorte <span class="sc">|&gt;</span> </span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>((<span class="sc">!</span><span class="fu">is.na</span>(MDD_BD1_2_notmood)) <span class="sc">|</span></span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>                  (<span class="sc">!</span><span class="fu">is.na</span>(TB1_18anos)) <span class="sc">|</span></span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>                  (<span class="sc">!</span><span class="fu">is.na</span>(TBII.p1_18anos))) <span class="sc">|&gt;</span> </span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>    <span class="fu">nrow</span>()</span></code></pre></div>
<pre><code>## [1] 3794</code></pre>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Quem foi avaliado em cada tempo?</span></span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="co">#dados_coorte |&gt; </span></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a><span class="co">#    dplyr::filter((!is.na(MDD_BD1_2_notmood)) |</span></span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="co">#                  (!is.na(TB1_18anos)) |</span></span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="co">#                  (!is.na(TBII.p1_18anos))) |&gt; </span></span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="co">#    dplyr::mutate(</span></span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="co">#        av18 = dplyr::if_else(!is.na(MDD_BD1_2_notmood), &quot;Sim&quot;, &quot;Não&quot;),</span></span>
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="co">#        av22 = dplyr::if_else(!is.na(kmini1), &quot;Sim&quot;, &quot;Não&quot;),</span></span>
<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a><span class="co">#        av_quais = dplyr::case_when(</span></span>
<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a><span class="co">#            av18 == &quot;Sim&quot; &amp; av22 == &quot;Sim&quot; ~ &quot;Avaliado em ambos os tempos&quot;,</span></span>
<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a><span class="co">#            av18 == &quot;Sim&quot; &amp; av22 == &quot;Não&quot; ~ &quot;Avaliado aos 18 anos apenas&quot;,</span></span>
<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a><span class="co">#            av18 == &quot;Não&quot; &amp; av22 == &quot;Sim&quot; ~ &quot;Avaliado aos 22 anos apenas&quot;</span></span>
<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a><span class="co">#        )</span></span>
<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a><span class="co">#    ) |&gt; </span></span>
<span id="cb4-15"><a href="#cb4-15" aria-hidden="true" tabindex="-1"></a><span class="co">#    dplyr::count(av_quais)</span></span>
<span id="cb4-16"><a href="#cb4-16" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-17"><a href="#cb4-17" aria-hidden="true" tabindex="-1"></a><span class="co"># Criar variável de desfecho, além de uma variável com os subtipos de TB</span></span>
<span id="cb4-18"><a href="#cb4-18" aria-hidden="true" tabindex="-1"></a>dados_com_desfecho <span class="ot">&lt;-</span> dados_coorte <span class="sc">|&gt;</span> </span>
<span id="cb4-19"><a href="#cb4-19" aria-hidden="true" tabindex="-1"></a>    haven<span class="sc">::</span><span class="fu">as_factor</span>() <span class="sc">|&gt;</span> </span>
<span id="cb4-20"><a href="#cb4-20" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb4-21"><a href="#cb4-21" aria-hidden="true" tabindex="-1"></a>        <span class="at">tb1_22 =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb4-22"><a href="#cb4-22" aria-hidden="true" tabindex="-1"></a>            MDD_BD1_2_notmood <span class="sc">==</span> <span class="st">&quot;Bipolar Disorder 1&quot;</span>,</span>
<span id="cb4-23"><a href="#cb4-23" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb4-24"><a href="#cb4-24" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb4-25"><a href="#cb4-25" aria-hidden="true" tabindex="-1"></a>        <span class="at">tb2_22 =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb4-26"><a href="#cb4-26" aria-hidden="true" tabindex="-1"></a>            MDD_BD1_2_notmood <span class="sc">==</span> <span class="st">&quot;Bipolar Disorder 2&quot;</span>,</span>
<span id="cb4-27"><a href="#cb4-27" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb4-28"><a href="#cb4-28" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb4-29"><a href="#cb4-29" aria-hidden="true" tabindex="-1"></a>        <span class="at">tb1_18 =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb4-30"><a href="#cb4-30" aria-hidden="true" tabindex="-1"></a>            TB1_18anos <span class="sc">==</span> <span class="dv">1</span>,</span>
<span id="cb4-31"><a href="#cb4-31" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb4-32"><a href="#cb4-32" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb4-33"><a href="#cb4-33" aria-hidden="true" tabindex="-1"></a>        <span class="at">tb2_18 =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb4-34"><a href="#cb4-34" aria-hidden="true" tabindex="-1"></a>            TBII.p1_18anos <span class="sc">==</span> <span class="dv">1</span>,</span>
<span id="cb4-35"><a href="#cb4-35" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb4-36"><a href="#cb4-36" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb4-37"><a href="#cb4-37" aria-hidden="true" tabindex="-1"></a>        <span class="at">outcome_subtypes =</span> dplyr<span class="sc">::</span><span class="fu">case_when</span>(</span>
<span id="cb4-38"><a href="#cb4-38" aria-hidden="true" tabindex="-1"></a>            tb1_22 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">~</span> <span class="st">&quot;TB I aos 22 anos&quot;</span>,</span>
<span id="cb4-39"><a href="#cb4-39" aria-hidden="true" tabindex="-1"></a>            tb1_18 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">~</span> <span class="st">&quot;TB I aos 18 anos&quot;</span>,</span>
<span id="cb4-40"><a href="#cb4-40" aria-hidden="true" tabindex="-1"></a>            tb2_22 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">~</span> <span class="st">&quot;TB II aos 22 anos&quot;</span>,</span>
<span id="cb4-41"><a href="#cb4-41" aria-hidden="true" tabindex="-1"></a>            tb2_18 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">~</span> <span class="st">&quot;TB II aos 18 anos&quot;</span>,</span>
<span id="cb4-42"><a href="#cb4-42" aria-hidden="true" tabindex="-1"></a>            tb1_22 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-43"><a href="#cb4-43" aria-hidden="true" tabindex="-1"></a>            tb2_22 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-44"><a href="#cb4-44" aria-hidden="true" tabindex="-1"></a>            tb1_18 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-45"><a href="#cb4-45" aria-hidden="true" tabindex="-1"></a>            tb2_18 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">~</span> <span class="st">&quot;Sem TB&quot;</span>,</span>
<span id="cb4-46"><a href="#cb4-46" aria-hidden="true" tabindex="-1"></a>            <span class="cn">TRUE</span> <span class="sc">~</span> <span class="cn">NA_character_</span></span>
<span id="cb4-47"><a href="#cb4-47" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb4-48"><a href="#cb4-48" aria-hidden="true" tabindex="-1"></a>        <span class="at">outcome =</span> dplyr<span class="sc">::</span><span class="fu">case_when</span>(</span>
<span id="cb4-49"><a href="#cb4-49" aria-hidden="true" tabindex="-1"></a>            tb1_22 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span></span>
<span id="cb4-50"><a href="#cb4-50" aria-hidden="true" tabindex="-1"></a>            tb2_22 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span></span>
<span id="cb4-51"><a href="#cb4-51" aria-hidden="true" tabindex="-1"></a>            tb1_18 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span></span>
<span id="cb4-52"><a href="#cb4-52" aria-hidden="true" tabindex="-1"></a>            tb2_18 <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">~</span> <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb4-53"><a href="#cb4-53" aria-hidden="true" tabindex="-1"></a>            tb1_22 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-54"><a href="#cb4-54" aria-hidden="true" tabindex="-1"></a>            tb2_22 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-55"><a href="#cb4-55" aria-hidden="true" tabindex="-1"></a>            tb1_18 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">|</span></span>
<span id="cb4-56"><a href="#cb4-56" aria-hidden="true" tabindex="-1"></a>            tb2_18 <span class="sc">==</span> <span class="st">&quot;Não&quot;</span> <span class="sc">~</span> <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb4-57"><a href="#cb4-57" aria-hidden="true" tabindex="-1"></a>            <span class="cn">TRUE</span> <span class="sc">~</span> <span class="cn">NA_character_</span></span>
<span id="cb4-58"><a href="#cb4-58" aria-hidden="true" tabindex="-1"></a>        )</span>
<span id="cb4-59"><a href="#cb4-59" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb4-60"><a href="#cb4-60" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(<span class="sc">!</span><span class="fu">is.na</span>(outcome))</span></code></pre></div>
<div id="criação-das-variáveis-de-episódio-de-humor-e-filtragem-para-reter-variáveis-perinatais" class="section level3">
<h3>Criação das variáveis de episódio de humor e filtragem para reter
variáveis perinatais</h3>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Vetor com as variáveis perinatais indicadas pela pesquisadora para</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="co"># construção de novas features</span></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>vars_vanessa <span class="ot">&lt;-</span> <span class="fu">c</span>(<span class="st">&quot;apartip&quot;</span>, <span class="st">&quot;ainduz&quot;</span>, <span class="st">&quot;aprobrn&quot;</span>, <span class="st">&quot;aerrado&quot;</span>,</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aprobrn&quot;</span>, <span class="st">&quot;aprobrn1&quot;</span>, <span class="st">&quot;aprobrn2&quot;</span>, <span class="st">&quot;aprobrn3&quot;</span>,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aprobrn&quot;</span>, <span class="st">&quot;aprobrn1&quot;</span>, <span class="st">&quot;aprobrn2&quot;</span>, <span class="st">&quot;aprobrn3&quot;</span>,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aprobrn&quot;</span>, <span class="st">&quot;aprobrn1&quot;</span>, <span class="st">&quot;aprobrn2&quot;</span>, <span class="st">&quot;aprobrn3&quot;</span>,</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aprobrn&quot;</span>, <span class="st">&quot;aprobrn1&quot;</span>, <span class="st">&quot;aprobrn2&quot;</span>, <span class="st">&quot;aprobrn3&quot;</span>,</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;ahipert&quot;</span>, <span class="st">&quot;adiabet&quot;</span>, <span class="st">&quot;ainfecur&quot;</span>, <span class="st">&quot;aoutinf&quot;</span>,</span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aanemia&quot;</span>, <span class="st">&quot;amotcesa&quot;</span>, <span class="st">&quot;apartind&quot;</span>, <span class="st">&quot;afumou&quot;</span>,</span>
<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;acompfum&quot;</span>, <span class="st">&quot;abebalc&quot;</span>, <span class="st">&quot;aalcool&quot;</span>, <span class="st">&quot;avivmar&quot;</span>,</span>
<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;asexrn&quot;</span>, <span class="st">&quot;apesorn&quot;</span>, <span class="st">&quot;acompr&quot;</span>, <span class="st">&quot;apcrn&quot;</span>, <span class="st">&quot;aescol3&quot;</span>,</span>
<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aescpai&quot;</span>, <span class="st">&quot;aescmae&quot;</span>, <span class="st">&quot;aparidad&quot;</span>, <span class="st">&quot;aapoio&quot;</span>, <span class="st">&quot;aidadmae&quot;</span>,</span>
<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;aidadpai&quot;</span>, <span class="st">&quot;apretama&quot;</span>, <span class="st">&quot;aapgar1&quot;</span>, <span class="st">&quot;aapgar5&quot;</span>,</span>
<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;arenfam&quot;</span>)</span>
<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a><span class="co"># Filtrar base para manter subamostra da avaliação aos 22 anos</span></span>
<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a><span class="co"># Transformar variáveis com rótulos em variáveis tipo fator</span></span>
<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a><span class="co"># Criar subconjunto com variável diagnóstico e variáveis perinatais</span></span>
<span id="cb5-19"><a href="#cb5-19" aria-hidden="true" tabindex="-1"></a>da <span class="ot">&lt;-</span> dados_com_desfecho <span class="sc">|&gt;</span> </span>
<span id="cb5-20"><a href="#cb5-20" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(outcome, dplyr<span class="sc">::</span><span class="fu">any_of</span>(vars_vanessa))</span></code></pre></div>
</div>
<div id="criação-do-diagnóstico-de-tb" class="section level3">
<h3>Criação do diagnóstico de TB</h3>
<p>Além da manutenção de variável de TB, a base de dados foi filtrada
para manter somente os sujeitos avaliados aos 18 ou 22 anos (através da
filtragem por meio de uma variável de diagnóstico da doença da avaliação
em 2015).</p>
<p>Abaixo, segue um gráfico de barras com a proporção de bipolares e
não-bipolares na amostra:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>da <span class="sc">|&gt;</span> </span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">count</span>(outcome) <span class="sc">|&gt;</span> </span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">x =</span> outcome, <span class="at">y =</span> n)) <span class="sc">+</span></span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_col</span>(<span class="at">fill =</span> <span class="st">&quot;royalblue&quot;</span>) <span class="sc">+</span></span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_text</span>(ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">label =</span> n), <span class="at">vjust =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">size =</span> <span class="dv">7</span>) <span class="sc">+</span></span>
<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme_minimal</span>(<span class="at">base_size =</span> <span class="dv">20</span>) <span class="sc">+</span></span>
<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">labs</span>(<span class="at">x =</span> <span class="st">&quot;</span><span class="sc">\n</span><span class="st">Diagnóstico&quot;</span>,</span>
<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a>                  <span class="at">y =</span> <span class="st">&quot;Número de sujeitos</span><span class="sc">\n</span><span class="st">&quot;</span>,</span>
<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>                  <span class="at">title =</span> <span class="st">&quot;Distribuição de sujeitos com diagnóstico e sem diagnóstico de transtorno bipolar&quot;</span>,</span>
<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a>                  <span class="at">subtitle =</span> <span class="st">&quot;Avaliações aos 18 e 22 anos&quot;</span>) <span class="sc">+</span></span>
<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme</span>(</span>
<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.x =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>),</span>
<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.y =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>)</span>
<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a>        )</span></code></pre></div>
<p><img src="data:image/png;base64,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" width="1536" /></p>
<p>E mais um gráfico, agora para demonstrar a distribuição dos subtipos
de transtorno bipolar (tipo I e tipo II) e o momento em que o
diagnóstico foi concretizado:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>dados_com_desfecho <span class="sc">|&gt;</span> </span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">count</span>(outcome_subtypes) <span class="sc">|&gt;</span> </span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">ggplot</span>(ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">x =</span> outcome_subtypes, <span class="at">y =</span> n)) <span class="sc">+</span></span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_col</span>(<span class="at">fill =</span> <span class="st">&quot;darkorange&quot;</span>) <span class="sc">+</span></span>
<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_text</span>(ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">label =</span> n), <span class="at">vjust =</span> <span class="sc">-</span><span class="fl">0.5</span>, <span class="at">size =</span> <span class="dv">7</span>) <span class="sc">+</span></span>
<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme_minimal</span>(<span class="at">base_size =</span> <span class="dv">20</span>) <span class="sc">+</span></span>
<span id="cb7-7"><a href="#cb7-7" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">labs</span>(<span class="at">x =</span> <span class="st">&quot;</span><span class="sc">\n</span><span class="st">Subtipo e idade de diagnóstico&quot;</span>,</span>
<span id="cb7-8"><a href="#cb7-8" aria-hidden="true" tabindex="-1"></a>                  <span class="at">y =</span> <span class="st">&quot;Número de sujeitos</span><span class="sc">\n</span><span class="st">&quot;</span>,</span>
<span id="cb7-9"><a href="#cb7-9" aria-hidden="true" tabindex="-1"></a>                  <span class="at">title =</span> <span class="st">&quot;Distribuição dos subtipos de transtorno bipolar (TB) e idade de diagnóstico&quot;</span>,</span>
<span id="cb7-10"><a href="#cb7-10" aria-hidden="true" tabindex="-1"></a>                  <span class="at">subtitle =</span> <span class="st">&quot;Avaliação do desfecho aos 18 e 22 anos&quot;</span>) <span class="sc">+</span></span>
<span id="cb7-11"><a href="#cb7-11" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme</span>(</span>
<span id="cb7-12"><a href="#cb7-12" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.x =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>),</span>
<span id="cb7-13"><a href="#cb7-13" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.y =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>)</span>
<span id="cb7-14"><a href="#cb7-14" aria-hidden="true" tabindex="-1"></a>        )</span></code></pre></div>
<p><img src="data:image/png;base64,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" width="1536" /></p>
</div>
</div>
<div id="fatores-perinatais-e-transtorno-bipolar" class="section level2">
<h2>Fatores perinatais e transtorno bipolar</h2>
<div id="construção-de-variáveis-e-técnicas-de-imputação" class="section level3">
<h3>Construção de variáveis e técnicas de imputação</h3>
<p>As seguintes variáveis foram construídas:</p>
<ul>
<li><code>tb_dic</code>: Diagnóstico de TB tipo I ou TB tipo II
(dicotômica)</li>
<li><code>complicacoes</code>: Variáveis de prematuridade, traumatismo
no parto, disfunção respiratória no parto, malformação no parto e
sofrimento fetal agrupadas (através do operador OU)</li>
<li><code>cesarea</code>: O parto foi cesária?</li>
<li><code>parto_induzido</code>: A bolsa rompeu, foi utilizado soro ou
ambas as coisas?</li>
<li><code>uti_neo</code>: O recém-nascido foi para UTI?</li>
<li><code>hipert_materna</code>: Hipertensão arterial materna</li>
<li><code>dm_materna</code>: Diabetes materna</li>
<li><code>infec_gest</code>: Infecção gestacional</li>
<li><code>anemia_gest</code>: Anemia gestacional</li>
<li><code>hemorr_parto</code>: Apresentou hemorragia no parto</li>
<li><code>tab_gest</code>: Contato com tabagismo na gestação (ativo ou
passivo)</li>
<li><code>etil_pesado_gest</code>: Etilismo pesado na gestação</li>
<li><code>rup_famil</code>: Ruptura familiar</li>
<li><code>baixo_peso</code>: Baixo peso ao nascer</li>
<li><code>baixo_comp</code>: Baixo comprimento ao nascer</li>
<li><code>per_cef</code>: Perímetro cefálico (numérico)</li>
<li><code>escol_paterna</code>: Escolaridade paterna</li>
<li><code>escol_materna</code>: Escolaridade materna</li>
<li><code>paridade</code>: Paridade (dicotômica) [4 ou mais e menos que
4]</li>
<li><code>apoio_familiar</code>: Teve apoio da
famíla/vizinhos/amigos?</li>
<li><code>idade_mae_num</code>: Idade da mãe (numérica)</li>
<li><code>pretende_amamentar</code>: Mãe pretende amamentar</li>
<li><code>apgar_1</code>: Apgar no minuto 1 (escore bruto)</li>
<li><code>apgar_5</code>: Apgar no minuto 5 (escore bruto)</li>
<li><code>renda_familiar</code>: Renda familiar (em salários
mínimos)</li>
</ul>
<p>As variáveis de idade materna foram utilizadas através das três
codificações pois os autores consideraram a hipótese da relação da idade
com o desfecho não ser puramente linear. Dessa forma, esta foi uma forma
na qual se pensou uma maneira de considerar possível associação.</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>da_proc <span class="ot">&lt;-</span> da <span class="sc">|&gt;</span></span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">transmute</span>(</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Desfecho: transtorno bipolar aos 18 ou 22 anos de idade</span></span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>        <span class="at">tb_dic =</span> <span class="fu">factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(outcome <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a>                                         ),</span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a>                        <span class="at">levels =</span> <span class="fu">c</span>(<span class="st">&quot;Não&quot;</span>, <span class="st">&quot;Sim&quot;</span>)</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a>                           ),</span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Cesárea ou parto normal</span></span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a>        <span class="at">cesarea =</span> <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(apartip <span class="sc">==</span> <span class="st">&quot;normal&quot;</span>,</span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a>                                           <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a>                                           <span class="st">&quot;Sim&quot;</span></span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a>                                           )</span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a>                            ),</span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Parto induzido</span></span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a>        <span class="at">parto_induzido =</span> <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a>            ainduz <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;rompeu bolsa&quot;</span>, <span class="st">&quot;soro&quot;</span>, <span class="st">&quot;ambos&quot;</span>),</span>
<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a>        )),</span>
<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Ida a UTI</span></span>
<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a>        <span class="at">uti_neo =</span> <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a>            aprobrn <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;bercario&quot;</span>, <span class="st">&quot;aloj.conjunto&quot;</span>),</span>
<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(aprobrn <span class="sc">==</span> <span class="st">&quot;uti&quot;</span>, <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a>                           <span class="cn">NA_character_</span></span>
<span id="cb8-28"><a href="#cb8-28" aria-hidden="true" tabindex="-1"></a>                           )</span>
<span id="cb8-29"><a href="#cb8-29" aria-hidden="true" tabindex="-1"></a>        )),</span>
<span id="cb8-30"><a href="#cb8-30" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Nascimento prematuro</span></span>
<span id="cb8-31"><a href="#cb8-31" aria-hidden="true" tabindex="-1"></a>        <span class="at">prematuro =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-32"><a href="#cb8-32" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(aerrado <span class="sc">!=</span> <span class="st">&quot;prematuro&quot;</span> <span class="sc">|</span> <span class="fu">is.na</span>(aerrado),</span>
<span id="cb8-33"><a href="#cb8-33" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-34"><a href="#cb8-34" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Sim&quot;</span></span>
<span id="cb8-35"><a href="#cb8-35" aria-hidden="true" tabindex="-1"></a>                           )</span>
<span id="cb8-36"><a href="#cb8-36" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-37"><a href="#cb8-37" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Traumatismo no parto</span></span>
<span id="cb8-38"><a href="#cb8-38" aria-hidden="true" tabindex="-1"></a>        <span class="at">traumatismo =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-39"><a href="#cb8-39" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-40"><a href="#cb8-40" aria-hidden="true" tabindex="-1"></a>                aprobrn1 <span class="sc">==</span> <span class="st">&quot;traumatismo&quot;</span> <span class="sc">|</span> aprobrn2 <span class="sc">==</span> <span class="st">&quot;traumatismo&quot;</span> <span class="sc">|</span></span>
<span id="cb8-41"><a href="#cb8-41" aria-hidden="true" tabindex="-1"></a>                    aprobrn3 <span class="sc">==</span> <span class="st">&quot;traumatismo&quot;</span>,</span>
<span id="cb8-42"><a href="#cb8-42" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-43"><a href="#cb8-43" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-44"><a href="#cb8-44" aria-hidden="true" tabindex="-1"></a>                <span class="at">missing =</span> <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-45"><a href="#cb8-45" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-46"><a href="#cb8-46" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-47"><a href="#cb8-47" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Estresse respiratório no parto</span></span>
<span id="cb8-48"><a href="#cb8-48" aria-hidden="true" tabindex="-1"></a>        <span class="at">disf_resp =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-49"><a href="#cb8-49" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-50"><a href="#cb8-50" aria-hidden="true" tabindex="-1"></a>                aprobrn1 <span class="sc">==</span> <span class="st">&quot;stress resp&quot;</span> <span class="sc">|</span> aprobrn2 <span class="sc">==</span> <span class="st">&quot;stress resp&quot;</span> <span class="sc">|</span></span>
<span id="cb8-51"><a href="#cb8-51" aria-hidden="true" tabindex="-1"></a>                    aprobrn3 <span class="sc">==</span> <span class="st">&quot;stress resp&quot;</span>,</span>
<span id="cb8-52"><a href="#cb8-52" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-53"><a href="#cb8-53" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-54"><a href="#cb8-54" aria-hidden="true" tabindex="-1"></a>                <span class="at">missing =</span> <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-55"><a href="#cb8-55" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-56"><a href="#cb8-56" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-57"><a href="#cb8-57" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Malformação</span></span>
<span id="cb8-58"><a href="#cb8-58" aria-hidden="true" tabindex="-1"></a>        <span class="at">malform =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-59"><a href="#cb8-59" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-60"><a href="#cb8-60" aria-hidden="true" tabindex="-1"></a>                aprobrn1 <span class="sc">==</span> <span class="st">&quot;malformacao&quot;</span> <span class="sc">|</span> aprobrn2 <span class="sc">==</span> <span class="st">&quot;malformacao&quot;</span> <span class="sc">|</span></span>
<span id="cb8-61"><a href="#cb8-61" aria-hidden="true" tabindex="-1"></a>                    aprobrn3 <span class="sc">==</span> <span class="st">&quot;malformacao&quot;</span>,</span>
<span id="cb8-62"><a href="#cb8-62" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-63"><a href="#cb8-63" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-64"><a href="#cb8-64" aria-hidden="true" tabindex="-1"></a>                <span class="at">missing =</span> <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-65"><a href="#cb8-65" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-66"><a href="#cb8-66" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-67"><a href="#cb8-67" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Sofrimento fetal</span></span>
<span id="cb8-68"><a href="#cb8-68" aria-hidden="true" tabindex="-1"></a>        <span class="at">sofrfetal =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-69"><a href="#cb8-69" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-70"><a href="#cb8-70" aria-hidden="true" tabindex="-1"></a>                aprobrn1 <span class="sc">==</span> <span class="st">&quot;sofrim fetal&quot;</span> <span class="sc">|</span> aprobrn2 <span class="sc">==</span> <span class="st">&quot;sofrim fetal&quot;</span> <span class="sc">|</span></span>
<span id="cb8-71"><a href="#cb8-71" aria-hidden="true" tabindex="-1"></a>                    aprobrn3 <span class="sc">==</span> <span class="st">&quot;sofrim fetal&quot;</span>,</span>
<span id="cb8-72"><a href="#cb8-72" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-73"><a href="#cb8-73" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-74"><a href="#cb8-74" aria-hidden="true" tabindex="-1"></a>                <span class="at">missing =</span> <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-75"><a href="#cb8-75" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-76"><a href="#cb8-76" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-77"><a href="#cb8-77" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Hipertensão materna</span></span>
<span id="cb8-78"><a href="#cb8-78" aria-hidden="true" tabindex="-1"></a>        <span class="at">hipert_materna =</span> <span class="fu">relevel</span>(</span>
<span id="cb8-79"><a href="#cb8-79" aria-hidden="true" tabindex="-1"></a>            <span class="fu">as.factor</span>(</span>
<span id="cb8-80"><a href="#cb8-80" aria-hidden="true" tabindex="-1"></a>                dplyr<span class="sc">::</span><span class="fu">case_when</span>(</span>
<span id="cb8-81"><a href="#cb8-81" aria-hidden="true" tabindex="-1"></a>                    <span class="fu">as.character</span>(ahipert) <span class="sc">==</span> <span class="st">&quot;nao sabe&quot;</span> <span class="sc">~</span> <span class="cn">NA_character_</span>,</span>
<span id="cb8-82"><a href="#cb8-82" aria-hidden="true" tabindex="-1"></a>                    <span class="cn">TRUE</span> <span class="sc">~</span> <span class="fu">as.character</span>(ahipert)</span>
<span id="cb8-83"><a href="#cb8-83" aria-hidden="true" tabindex="-1"></a>                )</span>
<span id="cb8-84"><a href="#cb8-84" aria-hidden="true" tabindex="-1"></a>            ), <span class="at">ref =</span> <span class="st">&quot;nao&quot;</span>),</span>
<span id="cb8-85"><a href="#cb8-85" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Diabetes materna</span></span>
<span id="cb8-86"><a href="#cb8-86" aria-hidden="true" tabindex="-1"></a>        <span class="at">dm_materna =</span> <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-87"><a href="#cb8-87" aria-hidden="true" tabindex="-1"></a>            adiabet <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;tratado&quot;</span>, <span class="st">&quot;nao tratado&quot;</span>),</span>
<span id="cb8-88"><a href="#cb8-88" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-89"><a href="#cb8-89" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-90"><a href="#cb8-90" aria-hidden="true" tabindex="-1"></a>        )),</span>
<span id="cb8-91"><a href="#cb8-91" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Infecção gestacional</span></span>
<span id="cb8-92"><a href="#cb8-92" aria-hidden="true" tabindex="-1"></a>        <span class="at">infec_gest =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-93"><a href="#cb8-93" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-94"><a href="#cb8-94" aria-hidden="true" tabindex="-1"></a>                ainfecur <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;tratado&quot;</span>, <span class="st">&quot;nao tratado&quot;</span>) <span class="sc">|</span></span>
<span id="cb8-95"><a href="#cb8-95" aria-hidden="true" tabindex="-1"></a>                    aoutinf <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;tratado&quot;</span>, <span class="st">&quot;nao tratado&quot;</span>),</span>
<span id="cb8-96"><a href="#cb8-96" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-97"><a href="#cb8-97" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-98"><a href="#cb8-98" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-99"><a href="#cb8-99" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-100"><a href="#cb8-100" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Anemia gestacional</span></span>
<span id="cb8-101"><a href="#cb8-101" aria-hidden="true" tabindex="-1"></a>        <span class="at">anemia_gest =</span> <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-102"><a href="#cb8-102" aria-hidden="true" tabindex="-1"></a>            aanemia <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;tratado&quot;</span>, <span class="st">&quot;nao tratado&quot;</span>),</span>
<span id="cb8-103"><a href="#cb8-103" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-104"><a href="#cb8-104" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-105"><a href="#cb8-105" aria-hidden="true" tabindex="-1"></a>        )),</span>
<span id="cb8-106"><a href="#cb8-106" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Hemorragia no parto</span></span>
<span id="cb8-107"><a href="#cb8-107" aria-hidden="true" tabindex="-1"></a>        <span class="at">hemorr_parto =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-108"><a href="#cb8-108" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-109"><a href="#cb8-109" aria-hidden="true" tabindex="-1"></a>                amotcesa <span class="sc">==</span> <span class="st">&quot;hemorragia materna&quot;</span> <span class="sc">|</span> apartind <span class="sc">==</span> <span class="st">&quot;sangramento&quot;</span>,</span>
<span id="cb8-110"><a href="#cb8-110" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-111"><a href="#cb8-111" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-112"><a href="#cb8-112" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb8-113"><a href="#cb8-113" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-114"><a href="#cb8-114" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Tabagismo gestacional</span></span>
<span id="cb8-115"><a href="#cb8-115" aria-hidden="true" tabindex="-1"></a>        <span class="at">tab_gest =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-116"><a href="#cb8-116" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(afumou <span class="sc">==</span> <span class="st">&quot;sim&quot;</span> <span class="sc">|</span> acompfum <span class="sc">==</span> <span class="st">&quot;sim&quot;</span>,</span>
<span id="cb8-117"><a href="#cb8-117" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-118"><a href="#cb8-118" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-119"><a href="#cb8-119" aria-hidden="true" tabindex="-1"></a>                           )</span>
<span id="cb8-120"><a href="#cb8-120" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-121"><a href="#cb8-121" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Etilismo pesado na gestação</span></span>
<span id="cb8-122"><a href="#cb8-122" aria-hidden="true" tabindex="-1"></a>        <span class="at">etil_pesado_gest =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-123"><a href="#cb8-123" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(aalcool <span class="sc">==</span> <span class="st">&quot;sim&quot;</span>,</span>
<span id="cb8-124"><a href="#cb8-124" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-125"><a href="#cb8-125" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-126"><a href="#cb8-126" aria-hidden="true" tabindex="-1"></a>                           )</span>
<span id="cb8-127"><a href="#cb8-127" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-128"><a href="#cb8-128" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Ruptura familiar</span></span>
<span id="cb8-129"><a href="#cb8-129" aria-hidden="true" tabindex="-1"></a>        <span class="at">rup_famil =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-130"><a href="#cb8-130" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(avivmar <span class="sc">==</span> <span class="st">&quot;sim&quot;</span>,</span>
<span id="cb8-131"><a href="#cb8-131" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Não&quot;</span>,</span>
<span id="cb8-132"><a href="#cb8-132" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Sim&quot;</span></span>
<span id="cb8-133"><a href="#cb8-133" aria-hidden="true" tabindex="-1"></a>                           )</span>
<span id="cb8-134"><a href="#cb8-134" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb8-135"><a href="#cb8-135" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Baixo peso ao nascer</span></span>
<span id="cb8-136"><a href="#cb8-136" aria-hidden="true" tabindex="-1"></a>       <span class="at">baixo_peso =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-137"><a href="#cb8-137" aria-hidden="true" tabindex="-1"></a>           dplyr<span class="sc">::</span><span class="fu">if_else</span>(apesorn <span class="sc">&lt;</span> <span class="dv">2500</span>,</span>
<span id="cb8-138"><a href="#cb8-138" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-139"><a href="#cb8-139" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-140"><a href="#cb8-140" aria-hidden="true" tabindex="-1"></a>                          )</span>
<span id="cb8-141"><a href="#cb8-141" aria-hidden="true" tabindex="-1"></a>       ),</span>
<span id="cb8-142"><a href="#cb8-142" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Baixo comprimento ao nascer</span></span>
<span id="cb8-143"><a href="#cb8-143" aria-hidden="true" tabindex="-1"></a>       <span class="at">baixo_comp =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-144"><a href="#cb8-144" aria-hidden="true" tabindex="-1"></a>           dplyr<span class="sc">::</span><span class="fu">if_else</span>(acompr <span class="sc">&lt;</span> <span class="dv">47</span>,</span>
<span id="cb8-145"><a href="#cb8-145" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-146"><a href="#cb8-146" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-147"><a href="#cb8-147" aria-hidden="true" tabindex="-1"></a>                          )</span>
<span id="cb8-148"><a href="#cb8-148" aria-hidden="true" tabindex="-1"></a>       ),</span>
<span id="cb8-149"><a href="#cb8-149" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Perímetro cefálico</span></span>
<span id="cb8-150"><a href="#cb8-150" aria-hidden="true" tabindex="-1"></a>       <span class="at">per_cef =</span> apcrn,</span>
<span id="cb8-151"><a href="#cb8-151" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Escolaridade paterna (em anos)</span></span>
<span id="cb8-152"><a href="#cb8-152" aria-hidden="true" tabindex="-1"></a>       <span class="at">escol_paterna =</span> aescpai,</span>
<span id="cb8-153"><a href="#cb8-153" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Escolaridade materna (em anos)</span></span>
<span id="cb8-154"><a href="#cb8-154" aria-hidden="true" tabindex="-1"></a>       <span class="at">escol_materna =</span> aescmae,</span>
<span id="cb8-155"><a href="#cb8-155" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Paridade (número de filhos)</span></span>
<span id="cb8-156"><a href="#cb8-156" aria-hidden="true" tabindex="-1"></a>       <span class="at">paridade =</span> <span class="fu">relevel</span>(<span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-157"><a href="#cb8-157" aria-hidden="true" tabindex="-1"></a>           aparidad <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;0&quot;</span>, <span class="st">&quot;1&quot;</span>, <span class="st">&quot;2&quot;</span>, <span class="st">&quot;3&quot;</span>),</span>
<span id="cb8-158"><a href="#cb8-158" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Menor que 4&quot;</span>,</span>
<span id="cb8-159"><a href="#cb8-159" aria-hidden="true" tabindex="-1"></a>            <span class="st">&quot;Maior ou igual a 4&quot;</span>)</span>
<span id="cb8-160"><a href="#cb8-160" aria-hidden="true" tabindex="-1"></a>           ), <span class="at">ref =</span> <span class="st">&quot;Menor que 4&quot;</span>), </span>
<span id="cb8-161"><a href="#cb8-161" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Apoio familiar</span></span>
<span id="cb8-162"><a href="#cb8-162" aria-hidden="true" tabindex="-1"></a>       <span class="at">apoio_familiar =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-163"><a href="#cb8-163" aria-hidden="true" tabindex="-1"></a>           dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-164"><a href="#cb8-164" aria-hidden="true" tabindex="-1"></a>               aapoio <span class="sc">==</span> <span class="st">&quot;sim&quot;</span>,</span>
<span id="cb8-165"><a href="#cb8-165" aria-hidden="true" tabindex="-1"></a>               <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-166"><a href="#cb8-166" aria-hidden="true" tabindex="-1"></a>               <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-167"><a href="#cb8-167" aria-hidden="true" tabindex="-1"></a>           )</span>
<span id="cb8-168"><a href="#cb8-168" aria-hidden="true" tabindex="-1"></a>       ),</span>
<span id="cb8-169"><a href="#cb8-169" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Idade da mãe</span></span>
<span id="cb8-170"><a href="#cb8-170" aria-hidden="true" tabindex="-1"></a>       <span class="at">idade_mae_num =</span> aidadmae,</span>
<span id="cb8-171"><a href="#cb8-171" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Pretende amamentar</span></span>
<span id="cb8-172"><a href="#cb8-172" aria-hidden="true" tabindex="-1"></a>       <span class="at">pretende_amamentar =</span> <span class="fu">as.factor</span>(</span>
<span id="cb8-173"><a href="#cb8-173" aria-hidden="true" tabindex="-1"></a>           dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb8-174"><a href="#cb8-174" aria-hidden="true" tabindex="-1"></a>               apretama <span class="sc">==</span> <span class="st">&quot;sim&quot;</span>,</span>
<span id="cb8-175"><a href="#cb8-175" aria-hidden="true" tabindex="-1"></a>               <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb8-176"><a href="#cb8-176" aria-hidden="true" tabindex="-1"></a>               <span class="st">&quot;Não&quot;</span></span>
<span id="cb8-177"><a href="#cb8-177" aria-hidden="true" tabindex="-1"></a>           )</span>
<span id="cb8-178"><a href="#cb8-178" aria-hidden="true" tabindex="-1"></a>       ),</span>
<span id="cb8-179"><a href="#cb8-179" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Apgar no primeiro minuto</span></span>
<span id="cb8-180"><a href="#cb8-180" aria-hidden="true" tabindex="-1"></a>       <span class="at">apgar_1 =</span> aapgar1,</span>
<span id="cb8-181"><a href="#cb8-181" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Apgar no minuto 5</span></span>
<span id="cb8-182"><a href="#cb8-182" aria-hidden="true" tabindex="-1"></a>       <span class="at">apgar_5 =</span> aapgar5,</span>
<span id="cb8-183"><a href="#cb8-183" aria-hidden="true" tabindex="-1"></a>       <span class="co"># Renda familiar em salários mínimos (SM)</span></span>
<span id="cb8-184"><a href="#cb8-184" aria-hidden="true" tabindex="-1"></a>       <span class="at">renda_familiar =</span> arenfam</span>
<span id="cb8-185"><a href="#cb8-185" aria-hidden="true" tabindex="-1"></a>    )</span></code></pre></div>
<p>Nesta etapa abaixo, realizou-se uma checagem em relação aos valores
ausentes em cada uma das variáveis. Posteriormente, elaborou-se um
pequeno fluxo para realizar a imputação das variáveis por meio de
mediana (variáveis numéricas) e moda (variáveis categóricas).</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Checar valores ausentes após criação das variáveis propostas</span></span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>da_proc <span class="sc">|&gt;</span> </span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a>    purrr<span class="sc">::</span><span class="fu">map_if</span>(is.factor, \(x) <span class="fu">table</span>(x, <span class="at">useNA =</span> <span class="st">&quot;always&quot;</span>), <span class="at">.else =</span> summary)</span></code></pre></div>
<pre><code>## $tb_dic
## x
##  Não  Sim &lt;NA&gt; 
## 3526  268    0 
## 
## $cesarea
## x
##  Não  Sim &lt;NA&gt; 
## 2613 1181    0 
## 
## $parto_induzido
## x
##  Não  Sim &lt;NA&gt; 
## 2599 1195    0 
## 
## $uti_neo
## x
##  Não  Sim &lt;NA&gt; 
## 3705   88    1 
## 
## $prematuro
## x
##  Não  Sim &lt;NA&gt; 
## 3791    3    0 
## 
## $traumatismo
## x
##  Não  Sim &lt;NA&gt; 
## 3790    4    0 
## 
## $disf_resp
## x
##  Não  Sim &lt;NA&gt; 
## 3717   77    0 
## 
## $malform
## x
##  Não  Sim &lt;NA&gt; 
## 3791    3    0 
## 
## $sofrfetal
## x
##  Não  Sim &lt;NA&gt; 
## 3779   15    0 
## 
## $hipert_materna
## x
##         nao nao tratado     tratado        &lt;NA&gt; 
##        3152         143         433          66 
## 
## $dm_materna
## x
##  Não  Sim &lt;NA&gt; 
## 3692  102    0 
## 
## $infec_gest
## x
##  Não  Sim &lt;NA&gt; 
## 2240 1554    0 
## 
## $anemia_gest
## x
##  Não  Sim &lt;NA&gt; 
## 2077 1717    0 
## 
## $hemorr_parto
## x
##  Não  Sim &lt;NA&gt; 
## 1122   37 2635 
## 
## $tab_gest
## x
##  Não  Sim &lt;NA&gt; 
## 1613 2178    3 
## 
## $etil_pesado_gest
## x
##  Não  Sim &lt;NA&gt; 
## 3756   38    0 
## 
## $rup_famil
## x
##  Não  Sim &lt;NA&gt; 
## 3338  456    0 
## 
## $baixo_peso
## x
##  Não  Sim &lt;NA&gt; 
## 3452  337    5 
## 
## $baixo_comp
## x
##  Não  Sim &lt;NA&gt; 
## 3208  553   33 
## 
## $per_cef
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   24.00   34.00   35.00   34.66   36.00   40.50      29 
## 
## $escol_paterna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   0.000   5.000   6.000   6.906   9.000  19.000     260 
## 
## $escol_materna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   0.000   4.000   6.000   6.849   9.000  23.000       6 
## 
## $paridade
## x
##        Menor que 4 Maior ou igual a 4               &lt;NA&gt; 
##               3378                416                  0 
## 
## $apoio_familiar
## x
##  Não  Sim &lt;NA&gt; 
##  379 3415    0 
## 
## $idade_mae_num
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   13.00   21.00   26.00   26.05   31.00   47.00 
## 
## $pretende_amamentar
## x
##  Não  Sim &lt;NA&gt; 
##   21 3756   17 
## 
## $apgar_1
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   0.000   8.000   9.000   8.416   9.000  10.000    1047 
## 
## $apgar_5
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##    0.00    9.00   10.00    9.56   10.00   10.00    1044 
## 
## $renda_familiar
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   0.000   1.500   2.700   4.378   4.800  88.200      69</code></pre>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Agrupar variáveis de complicações perinatais</span></span>
<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a><span class="co"># O argumento .keep da função dplyr::mutate permite</span></span>
<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a><span class="co"># que somente as variáveis não utilizadas nas operações</span></span>
<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a><span class="co"># sejam mantidas na base de dados resultante</span></span>
<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a>da_proc <span class="ot">&lt;-</span> da_proc <span class="sc">|&gt;</span> </span>
<span id="cb11-6"><a href="#cb11-6" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb11-7"><a href="#cb11-7" aria-hidden="true" tabindex="-1"></a>        <span class="at">complicacoes =</span> <span class="fu">as.factor</span>(</span>
<span id="cb11-8"><a href="#cb11-8" aria-hidden="true" tabindex="-1"></a>            dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb11-9"><a href="#cb11-9" aria-hidden="true" tabindex="-1"></a>                prematuro <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span> traumatismo <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span></span>
<span id="cb11-10"><a href="#cb11-10" aria-hidden="true" tabindex="-1"></a>                disf_resp <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span> malform <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span> <span class="sc">|</span></span>
<span id="cb11-11"><a href="#cb11-11" aria-hidden="true" tabindex="-1"></a>                sofrfetal <span class="sc">==</span> <span class="st">&quot;Sim&quot;</span>,</span>
<span id="cb11-12"><a href="#cb11-12" aria-hidden="true" tabindex="-1"></a>                <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb11-13"><a href="#cb11-13" aria-hidden="true" tabindex="-1"></a>            )</span>
<span id="cb11-14"><a href="#cb11-14" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb11-15"><a href="#cb11-15" aria-hidden="true" tabindex="-1"></a>        <span class="at">.keep =</span> <span class="st">&quot;unused&quot;</span></span>
<span id="cb11-16"><a href="#cb11-16" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb11-17"><a href="#cb11-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb11-18"><a href="#cb11-18" aria-hidden="true" tabindex="-1"></a><span class="co"># Criar base com variáveis imputadas pela moda e mediana</span></span>
<span id="cb11-19"><a href="#cb11-19" aria-hidden="true" tabindex="-1"></a>da_imp <span class="ot">&lt;-</span> da_proc <span class="sc">|&gt;</span> </span>
<span id="cb11-20"><a href="#cb11-20" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">recipe</span>(tb_dic <span class="sc">~</span> .) <span class="sc">|&gt;</span> </span>
<span id="cb11-21"><a href="#cb11-21" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_filter_missing</span>(recipes<span class="sc">::</span><span class="fu">all_predictors</span>(), <span class="at">threshold =</span> <span class="fl">0.1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb11-22"><a href="#cb11-22" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_impute_mode</span>(recipes<span class="sc">::</span><span class="fu">all_nominal_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb11-23"><a href="#cb11-23" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_impute_median</span>(recipes<span class="sc">::</span><span class="fu">all_numeric_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb11-24"><a href="#cb11-24" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_nzv</span>(recipes<span class="sc">::</span><span class="fu">all_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb11-25"><a href="#cb11-25" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">prep</span>() <span class="sc">|&gt;</span> </span>
<span id="cb11-26"><a href="#cb11-26" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">bake</span>(<span class="at">new_data =</span> <span class="cn">NULL</span>)</span>
<span id="cb11-27"><a href="#cb11-27" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb11-28"><a href="#cb11-28" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb11-29"><a href="#cb11-29" aria-hidden="true" tabindex="-1"></a><span class="co"># Checar que a imputação funcionou</span></span>
<span id="cb11-30"><a href="#cb11-30" aria-hidden="true" tabindex="-1"></a>da_imp <span class="sc">|&gt;</span> </span>
<span id="cb11-31"><a href="#cb11-31" aria-hidden="true" tabindex="-1"></a>    purrr<span class="sc">::</span><span class="fu">map_if</span>(is.factor, \(x) <span class="fu">table</span>(x, <span class="at">useNA =</span> <span class="st">&quot;always&quot;</span>), <span class="at">.else =</span> summary)</span></code></pre></div>
<pre><code>## $cesarea
## x
##  Não  Sim &lt;NA&gt; 
## 2613 1181    0 
## 
## $parto_induzido
## x
##  Não  Sim &lt;NA&gt; 
## 2599 1195    0 
## 
## $hipert_materna
## x
##         nao nao tratado     tratado        &lt;NA&gt; 
##        3218         143         433           0 
## 
## $infec_gest
## x
##  Não  Sim &lt;NA&gt; 
## 2240 1554    0 
## 
## $anemia_gest
## x
##  Não  Sim &lt;NA&gt; 
## 2077 1717    0 
## 
## $tab_gest
## x
##  Não  Sim &lt;NA&gt; 
## 1613 2181    0 
## 
## $rup_famil
## x
##  Não  Sim &lt;NA&gt; 
## 3338  456    0 
## 
## $baixo_peso
## x
##  Não  Sim &lt;NA&gt; 
## 3457  337    0 
## 
## $baixo_comp
## x
##  Não  Sim &lt;NA&gt; 
## 3241  553    0 
## 
## $per_cef
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   24.00   34.00   35.00   34.66   36.00   40.50 
## 
## $escol_paterna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   5.000   6.000   6.844   8.000  19.000 
## 
## $escol_materna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   4.000   6.000   6.847   9.000  23.000 
## 
## $paridade
## x
##        Menor que 4 Maior ou igual a 4               &lt;NA&gt; 
##               3378                416                  0 
## 
## $apoio_familiar
## x
##  Não  Sim &lt;NA&gt; 
##  379 3415    0 
## 
## $idade_mae_num
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   13.00   21.00   26.00   26.05   31.00   47.00 
## 
## $renda_familiar
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   1.500   2.700   4.348   4.800  88.200 
## 
## $tb_dic
## x
##  Não  Sim &lt;NA&gt; 
## 3526  268    0</code></pre>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="co"># A função abaixo foi criada para verificar a frequência absoluta de</span></span>
<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a><span class="co"># uma variável independente qualquer estratificada pelo desfecho</span></span>
<span id="cb13-3"><a href="#cb13-3" aria-hidden="true" tabindex="-1"></a>ver_freq <span class="ot">&lt;-</span> <span class="cf">function</span>(var) {</span>
<span id="cb13-4"><a href="#cb13-4" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb13-5"><a href="#cb13-5" aria-hidden="true" tabindex="-1"></a>    da_imp <span class="sc">|&gt;</span> </span>
<span id="cb13-6"><a href="#cb13-6" aria-hidden="true" tabindex="-1"></a>        dplyr<span class="sc">::</span><span class="fu">group_by</span>(tb_dic) <span class="sc">|&gt;</span> </span>
<span id="cb13-7"><a href="#cb13-7" aria-hidden="true" tabindex="-1"></a>        dplyr<span class="sc">::</span><span class="fu">count</span>({{ var }})</span>
<span id="cb13-8"><a href="#cb13-8" aria-hidden="true" tabindex="-1"></a>    </span>
<span id="cb13-9"><a href="#cb13-9" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb13-10"><a href="#cb13-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb13-11"><a href="#cb13-11" aria-hidden="true" tabindex="-1"></a><span class="co"># Checar frequência agrupada pelo desfecho</span></span>
<span id="cb13-12"><a href="#cb13-12" aria-hidden="true" tabindex="-1"></a>da_imp <span class="sc">|&gt;</span> </span>
<span id="cb13-13"><a href="#cb13-13" aria-hidden="true" tabindex="-1"></a>    purrr<span class="sc">::</span><span class="fu">map_if</span>(is.factor, ver_freq, <span class="at">.else =</span> summary)</span></code></pre></div>
<pre><code>## $cesarea
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      2415
## 2 Não    Sim      1111
## 3 Sim    Não       198
## 4 Sim    Sim        70
## 
## $parto_induzido
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      2411
## 2 Não    Sim      1115
## 3 Sim    Não       188
## 4 Sim    Sim        80
## 
## $hipert_materna
## # A tibble: 6 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`         n
##   &lt;fct&gt;  &lt;fct&gt;       &lt;int&gt;
## 1 Não    nao          2982
## 2 Não    nao tratado   135
## 3 Não    tratado       409
## 4 Sim    nao           236
## 5 Sim    nao tratado     8
## 6 Sim    tratado        24
## 
## $infec_gest
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      2083
## 2 Não    Sim      1443
## 3 Sim    Não       157
## 4 Sim    Sim       111
## 
## $anemia_gest
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      1939
## 2 Não    Sim      1587
## 3 Sim    Não       138
## 4 Sim    Sim       130
## 
## $tab_gest
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      1531
## 2 Não    Sim      1995
## 3 Sim    Não        82
## 4 Sim    Sim       186
## 
## $rup_famil
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      3109
## 2 Não    Sim       417
## 3 Sim    Não       229
## 4 Sim    Sim        39
## 
## $baixo_peso
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      3220
## 2 Não    Sim       306
## 3 Sim    Não       237
## 4 Sim    Sim        31
## 
## $baixo_comp
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      3022
## 2 Não    Sim       504
## 3 Sim    Não       219
## 4 Sim    Sim        49
## 
## $per_cef
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   24.00   34.00   35.00   34.66   36.00   40.50 
## 
## $escol_paterna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   5.000   6.000   6.844   8.000  19.000 
## 
## $escol_materna
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   4.000   6.000   6.847   9.000  23.000 
## 
## $paridade
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`                n
##   &lt;fct&gt;  &lt;fct&gt;              &lt;int&gt;
## 1 Não    Menor que 4         3156
## 2 Não    Maior ou igual a 4   370
## 3 Sim    Menor que 4          222
## 4 Sim    Maior ou igual a 4    46
## 
## $apoio_familiar
## # A tibble: 4 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não       350
## 2 Não    Sim      3176
## 3 Sim    Não        29
## 4 Sim    Sim       239
## 
## $idade_mae_num
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   13.00   21.00   26.00   26.05   31.00   47.00 
## 
## $renda_familiar
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.000   1.500   2.700   4.348   4.800  88.200 
## 
## $tb_dic
## # A tibble: 2 × 3
## # Groups:   tb_dic [2]
##   tb_dic `&lt;fct&gt;`     n
##   &lt;fct&gt;  &lt;fct&gt;   &lt;int&gt;
## 1 Não    Não      3526
## 2 Sim    Sim       268</code></pre>
</div>
<div id="quais-variáveis-foram-excluídas-e-quando" class="section level3">
<h3>Quais variáveis foram excluídas e quando?</h3>
<p>Na etapa de remoçao de variáveis com mais de 10% de missing,
exclui-se a variável de hemorragia no parto, apgar no primeiro minuto e
apgar no quinto minuto.</p>
<p>Na etapa de retirada de variáveis com pouca ou nenhuma variabilidade,
foram excluídas as seguintes variáveis: UTI neonatal, diabetes materna,
etilismo pesado na gestação, se a mãe pretende amamentar e complicações
no parto.</p>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>da_prep <span class="ot">&lt;-</span> da_proc <span class="sc">|&gt;</span> </span>
<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">recipe</span>(tb_dic <span class="sc">~</span> .) <span class="sc">|&gt;</span> </span>
<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_filter_missing</span>(recipes<span class="sc">::</span><span class="fu">all_predictors</span>(), <span class="at">threshold =</span> <span class="fl">0.1</span>) <span class="sc">|&gt;</span> </span>
<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_impute_mode</span>(recipes<span class="sc">::</span><span class="fu">all_nominal_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_impute_median</span>(recipes<span class="sc">::</span><span class="fu">all_numeric_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">step_nzv</span>(recipes<span class="sc">::</span><span class="fu">all_predictors</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a>    recipes<span class="sc">::</span><span class="fu">prep</span>()</span>
<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a>da_prep<span class="sc">$</span>steps <span class="sc">|&gt;</span> <span class="fu">View</span>()</span></code></pre></div>
</div>
<div id="análise-bivariada-com-variáveis-categóricas" class="section level3">
<h3>Análise bivariada com variáveis categóricas</h3>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Carregar o pacote magrittr para utilizar o placeholder &quot;.&quot; na função</span></span>
<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a><span class="co"># do teste qui-quadrado abaixo</span></span>
<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(magrittr, <span class="at">include.only =</span> <span class="st">&quot;%&gt;%&quot;</span>)</span>
<span id="cb16-4"><a href="#cb16-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb16-5"><a href="#cb16-5" aria-hidden="true" tabindex="-1"></a>cat_biv <span class="ot">&lt;-</span> da_imp <span class="sc">|&gt;</span></span>
<span id="cb16-6"><a href="#cb16-6" aria-hidden="true" tabindex="-1"></a>    purrr<span class="sc">::</span><span class="fu">keep</span>(is.factor) <span class="sc">|&gt;</span></span>
<span id="cb16-7"><a href="#cb16-7" aria-hidden="true" tabindex="-1"></a>    tidyr<span class="sc">::</span><span class="fu">pivot_longer</span>(<span class="at">names_to =</span> <span class="st">&quot;variable&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>, <span class="sc">-</span>tb_dic) <span class="sc">|&gt;</span></span>
<span id="cb16-8"><a href="#cb16-8" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">group_by</span>(variable) <span class="sc">%&gt;%</span></span>
<span id="cb16-9"><a href="#cb16-9" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">do</span>(<span class="fu">chisq.test</span>(.<span class="sc">$</span>tb_dic, .<span class="sc">$</span>value, <span class="at">simulate.p.value =</span> <span class="cn">TRUE</span>) <span class="sc">|&gt;</span></span>
<span id="cb16-10"><a href="#cb16-10" aria-hidden="true" tabindex="-1"></a>                  broom<span class="sc">::</span><span class="fu">tidy</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb16-11"><a href="#cb16-11" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span><span class="fu">c</span>(parameter, method)) <span class="sc">|&gt;</span> </span>
<span id="cb16-12"><a href="#cb16-12" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">ungroup</span>()</span>
<span id="cb16-13"><a href="#cb16-13" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb16-14"><a href="#cb16-14" aria-hidden="true" tabindex="-1"></a>knitr<span class="sc">::</span><span class="fu">kable</span>(cat_biv,</span>
<span id="cb16-15"><a href="#cb16-15" aria-hidden="true" tabindex="-1"></a>             <span class="at">digits =</span> <span class="dv">3</span>,</span>
<span id="cb16-16"><a href="#cb16-16" aria-hidden="true" tabindex="-1"></a>             <span class="at">col.names =</span> <span class="fu">c</span>(<span class="st">&quot;Variável&quot;</span>,</span>
<span id="cb16-17"><a href="#cb16-17" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;Estatística&quot;</span>,</span>
<span id="cb16-18"><a href="#cb16-18" aria-hidden="true" tabindex="-1"></a>                           <span class="st">&quot;p-valor&quot;</span>))</span></code></pre></div>
<table>
<thead>
<tr class="header">
<th align="left">Variável</th>
<th align="right">Estatística</th>
<th align="right">p-valor</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">anemia_gest</td>
<td align="right">1.231</td>
<td align="right">0.279</td>
</tr>
<tr class="even">
<td align="left">apoio_familiar</td>
<td align="right">0.222</td>
<td align="right">0.664</td>
</tr>
<tr class="odd">
<td align="left">baixo_comp</td>
<td align="right">3.184</td>
<td align="right">0.094</td>
</tr>
<tr class="even">
<td align="left">baixo_peso</td>
<td align="right">2.568</td>
<td align="right">0.128</td>
</tr>
<tr class="odd">
<td align="left">cesarea</td>
<td align="right">3.374</td>
<td align="right">0.074</td>
</tr>
<tr class="even">
<td align="left">hipert_materna</td>
<td align="right">2.354</td>
<td align="right">0.312</td>
</tr>
<tr class="odd">
<td align="left">infec_gest</td>
<td align="right">0.025</td>
<td align="right">0.910</td>
</tr>
<tr class="even">
<td align="left">paridade</td>
<td align="right">11.353</td>
<td align="right">0.002</td>
</tr>
<tr class="odd">
<td align="left">parto_induzido</td>
<td align="right">0.362</td>
<td align="right">0.600</td>
</tr>
<tr class="even">
<td align="left">rup_famil</td>
<td align="right">1.750</td>
<td align="right">0.203</td>
</tr>
<tr class="odd">
<td align="left">tab_gest</td>
<td align="right">16.758</td>
<td align="right">0.000</td>
</tr>
</tbody>
</table>
</div>
<div id="análise-bivariada-com-variáveis-numéricas" class="section level3">
<h3>Análise bivariada com variáveis numéricas</h3>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Realiza análise bivariada com as variáveis numéricas através de teste t</span></span>
<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a>num_biv <span class="ot">&lt;-</span> da_imp <span class="sc">|&gt;</span></span>
<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(tb_dic, <span class="fu">where</span>(is.numeric)) <span class="sc">|&gt;</span></span>
<span id="cb17-4"><a href="#cb17-4" aria-hidden="true" tabindex="-1"></a>    tidyr<span class="sc">::</span><span class="fu">pivot_longer</span>(<span class="at">names_to =</span> <span class="st">&quot;variable&quot;</span>, <span class="at">values_to =</span> <span class="st">&quot;value&quot;</span>, <span class="sc">-</span>tb_dic) <span class="sc">|&gt;</span></span>
<span id="cb17-5"><a href="#cb17-5" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">group_by</span>(variable) <span class="sc">%&gt;%</span></span>
<span id="cb17-6"><a href="#cb17-6" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">do</span>(<span class="fu">t.test</span>(.<span class="sc">$</span>value <span class="sc">~</span> .<span class="sc">$</span>tb_dic) <span class="sc">|&gt;</span></span>
<span id="cb17-7"><a href="#cb17-7" aria-hidden="true" tabindex="-1"></a>                  broom<span class="sc">::</span><span class="fu">tidy</span>()) <span class="sc">|&gt;</span> </span>
<span id="cb17-8"><a href="#cb17-8" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb17-9"><a href="#cb17-9" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>method, <span class="sc">-</span>alternative)</span>
<span id="cb17-10"><a href="#cb17-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb17-11"><a href="#cb17-11" aria-hidden="true" tabindex="-1"></a>knitr<span class="sc">::</span><span class="fu">kable</span>(num_biv,</span>
<span id="cb17-12"><a href="#cb17-12" aria-hidden="true" tabindex="-1"></a>             <span class="at">digits =</span> <span class="dv">3</span>)</span></code></pre></div>
<table>
<colgroup>
<col width="16%" />
<col width="9%" />
<col width="10%" />
<col width="10%" />
<col width="10%" />
<col width="8%" />
<col width="10%" />
<col width="9%" />
<col width="10%" />
</colgroup>
<thead>
<tr class="header">
<th align="left">variable</th>
<th align="right">estimate</th>
<th align="right">estimate1</th>
<th align="right">estimate2</th>
<th align="right">statistic</th>
<th align="right">p.value</th>
<th align="right">parameter</th>
<th align="right">conf.low</th>
<th align="right">conf.high</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">escol_materna</td>
<td align="right">1.105</td>
<td align="right">6.925</td>
<td align="right">5.821</td>
<td align="right">5.862</td>
<td align="right">0.000</td>
<td align="right">331.829</td>
<td align="right">0.734</td>
<td align="right">1.475</td>
</tr>
<tr class="even">
<td align="left">escol_paterna</td>
<td align="right">0.912</td>
<td align="right">6.908</td>
<td align="right">5.996</td>
<td align="right">4.612</td>
<td align="right">0.000</td>
<td align="right">318.672</td>
<td align="right">0.523</td>
<td align="right">1.301</td>
</tr>
<tr class="odd">
<td align="left">idade_mae_num</td>
<td align="right">0.929</td>
<td align="right">26.119</td>
<td align="right">25.190</td>
<td align="right">2.322</td>
<td align="right">0.021</td>
<td align="right">310.228</td>
<td align="right">0.142</td>
<td align="right">1.717</td>
</tr>
<tr class="even">
<td align="left">per_cef</td>
<td align="right">0.279</td>
<td align="right">34.678</td>
<td align="right">34.400</td>
<td align="right">2.864</td>
<td align="right">0.004</td>
<td align="right">311.075</td>
<td align="right">0.087</td>
<td align="right">0.470</td>
</tr>
<tr class="odd">
<td align="left">renda_familiar</td>
<td align="right">1.356</td>
<td align="right">4.443</td>
<td align="right">3.087</td>
<td align="right">6.518</td>
<td align="right">0.000</td>
<td align="right">462.018</td>
<td align="right">0.947</td>
<td align="right">1.765</td>
</tr>
</tbody>
</table>
</div>
<div id="análise-multivariada" class="section level3">
<h3>Análise multivariada</h3>
<p>A imputação foi realizada nos passos anteriores para a análise
bivariada, logo, o objeto da base de dados imputada (pré-processada)
será usada para o ajuste do modelo de regressão logística binomial.</p>
<p>Um modelo contendo somente as variáveis com valor <em>p</em> menor
que 0,2 na análise bivariada foi construído.</p>
<p>Os valores de odds ratio foram estimados a partir da equação <span class="math inline">\(e^{\beta}\)</span>.</p>
<div id="modelo-de-regressão-logística-binomial" class="section level4">
<h4>Modelo de regressão logística binomial</h4>
<p>Neste modelo, foram incluídas somente as variáveis independentes que
apresentaram um valor de p menor que 0,2 na análise bivariada
(bruta).</p>
<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Pegar nomes das variáveis que apresentaram p-value menor que 0,2 na análise</span></span>
<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a><span class="co"># bruta</span></span>
<span id="cb18-3"><a href="#cb18-3" aria-hidden="true" tabindex="-1"></a>vars_multivar <span class="ot">&lt;-</span> cat_biv <span class="sc">|&gt;</span> </span>
<span id="cb18-4"><a href="#cb18-4" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">bind_rows</span>(num_biv <span class="sc">|&gt;</span> dplyr<span class="sc">::</span><span class="fu">select</span>(variable, statistic, p.value)) <span class="sc">|&gt;</span> </span>
<span id="cb18-5"><a href="#cb18-5" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">ungroup</span>() <span class="sc">|&gt;</span> </span>
<span id="cb18-6"><a href="#cb18-6" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(p.value <span class="sc">&lt;</span> <span class="fl">0.2</span>) <span class="sc">|&gt;</span> </span>
<span id="cb18-7"><a href="#cb18-7" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">pull</span>(variable)</span>
<span id="cb18-8"><a href="#cb18-8" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb18-9"><a href="#cb18-9" aria-hidden="true" tabindex="-1"></a><span class="co"># Adicionar desfecho na fórmula juntamente aos preditores que forem incluídos</span></span>
<span id="cb18-10"><a href="#cb18-10" aria-hidden="true" tabindex="-1"></a><span class="co"># como argumento da função</span></span>
<span id="cb18-11"><a href="#cb18-11" aria-hidden="true" tabindex="-1"></a>add_outcome <span class="ot">&lt;-</span> <span class="cf">function</span>(predictors) {</span>
<span id="cb18-12"><a href="#cb18-12" aria-hidden="true" tabindex="-1"></a>    reg_mod <span class="ot">&lt;-</span> <span class="fu">paste0</span>(<span class="st">&quot;tb_dic&quot;</span>, <span class="st">&quot; ~ &quot;</span>, predictors)</span>
<span id="cb18-13"><a href="#cb18-13" aria-hidden="true" tabindex="-1"></a>    <span class="fu">return</span>(reg_mod)</span>
<span id="cb18-14"><a href="#cb18-14" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb18-15"><a href="#cb18-15" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb18-16"><a href="#cb18-16" aria-hidden="true" tabindex="-1"></a><span class="co"># Juntar os preditores separados por + (para sintaxe de fórmula) e ao final,</span></span>
<span id="cb18-17"><a href="#cb18-17" aria-hidden="true" tabindex="-1"></a><span class="co"># adicionar o desfecho</span></span>
<span id="cb18-18"><a href="#cb18-18" aria-hidden="true" tabindex="-1"></a>mod_filtrado <span class="ot">&lt;-</span> vars_multivar <span class="sc">|&gt;</span> </span>
<span id="cb18-19"><a href="#cb18-19" aria-hidden="true" tabindex="-1"></a>    <span class="fu">paste</span>(<span class="at">collapse =</span> <span class="st">&quot; + &quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb18-20"><a href="#cb18-20" aria-hidden="true" tabindex="-1"></a>    <span class="fu">add_outcome</span>()</span>
<span id="cb18-21"><a href="#cb18-21" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb18-22"><a href="#cb18-22" aria-hidden="true" tabindex="-1"></a><span class="co"># Especificar modelo a ser ajustado</span></span>
<span id="cb18-23"><a href="#cb18-23" aria-hidden="true" tabindex="-1"></a>mod <span class="ot">&lt;-</span> parsnip<span class="sc">::</span><span class="fu">logistic_reg</span>() <span class="sc">|&gt;</span> </span>
<span id="cb18-24"><a href="#cb18-24" aria-hidden="true" tabindex="-1"></a>    parsnip<span class="sc">::</span><span class="fu">set_mode</span>(<span class="st">&quot;classification&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb18-25"><a href="#cb18-25" aria-hidden="true" tabindex="-1"></a>    parsnip<span class="sc">::</span><span class="fu">set_engine</span>(<span class="st">&quot;glm&quot;</span>)</span>
<span id="cb18-26"><a href="#cb18-26" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb18-27"><a href="#cb18-27" aria-hidden="true" tabindex="-1"></a><span class="co"># Ajustar a partir da fórmula construída previamente</span></span>
<span id="cb18-28"><a href="#cb18-28" aria-hidden="true" tabindex="-1"></a>mod_filtrado_fit <span class="ot">&lt;-</span> mod <span class="sc">|&gt;</span> </span>
<span id="cb18-29"><a href="#cb18-29" aria-hidden="true" tabindex="-1"></a>    parsnip<span class="sc">::</span><span class="fu">fit</span>(<span class="fu">as.formula</span>(mod_filtrado), <span class="at">data =</span> da_imp)</span>
<span id="cb18-30"><a href="#cb18-30" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb18-31"><a href="#cb18-31" aria-hidden="true" tabindex="-1"></a><span class="co"># Mostrar resultados tidy</span></span>
<span id="cb18-32"><a href="#cb18-32" aria-hidden="true" tabindex="-1"></a>mod_filtrado_fit <span class="sc">|&gt;</span> </span>
<span id="cb18-33"><a href="#cb18-33" aria-hidden="true" tabindex="-1"></a>    broom<span class="sc">::</span><span class="fu">tidy</span>() <span class="sc">|&gt;</span> </span>
<span id="cb18-34"><a href="#cb18-34" aria-hidden="true" tabindex="-1"></a>    knitr<span class="sc">::</span><span class="fu">kable</span>(</span>
<span id="cb18-35"><a href="#cb18-35" aria-hidden="true" tabindex="-1"></a>        <span class="at">col.names =</span> <span class="fu">c</span>(<span class="st">&quot;Variável&quot;</span>,</span>
<span id="cb18-36"><a href="#cb18-36" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Beta&quot;</span>,</span>
<span id="cb18-37"><a href="#cb18-37" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Erro Padrão&quot;</span>,</span>
<span id="cb18-38"><a href="#cb18-38" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Estatística&quot;</span>,</span>
<span id="cb18-39"><a href="#cb18-39" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;p-valor&quot;</span>),</span>
<span id="cb18-40"><a href="#cb18-40" aria-hidden="true" tabindex="-1"></a>        <span class="at">digits =</span> <span class="dv">3</span>,</span>
<span id="cb18-41"><a href="#cb18-41" aria-hidden="true" tabindex="-1"></a>        <span class="at">caption =</span> <span class="st">&quot;Resumo do modelo final com variáveis que apresentaram p-valor menor que 0,2 na análise bruta.&quot;</span></span>
<span id="cb18-42"><a href="#cb18-42" aria-hidden="true" tabindex="-1"></a>    )</span></code></pre></div>
<table>
<caption>Resumo do modelo final com variáveis que apresentaram p-valor
menor que 0,2 na análise bruta.</caption>
<thead>
<tr class="header">
<th align="left">Variável</th>
<th align="right">Beta</th>
<th align="right">Erro Padrão</th>
<th align="right">Estatística</th>
<th align="right">p-valor</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">(Intercept)</td>
<td align="right">0.590</td>
<td align="right">1.693</td>
<td align="right">0.348</td>
<td align="right">0.728</td>
</tr>
<tr class="even">
<td align="left">baixo_compSim</td>
<td align="right">0.087</td>
<td align="right">0.207</td>
<td align="right">0.421</td>
<td align="right">0.674</td>
</tr>
<tr class="odd">
<td align="left">baixo_pesoSim</td>
<td align="right">0.014</td>
<td align="right">0.258</td>
<td align="right">0.054</td>
<td align="right">0.957</td>
</tr>
<tr class="even">
<td align="left">cesareaSim</td>
<td align="right">-0.003</td>
<td align="right">0.149</td>
<td align="right">-0.021</td>
<td align="right">0.983</td>
</tr>
<tr class="odd">
<td align="left">paridadeMaior ou igual a 4</td>
<td align="right">0.630</td>
<td align="right">0.205</td>
<td align="right">3.079</td>
<td align="right">0.002</td>
</tr>
<tr class="even">
<td align="left">tab_gestSim</td>
<td align="right">0.409</td>
<td align="right">0.142</td>
<td align="right">2.882</td>
<td align="right">0.004</td>
</tr>
<tr class="odd">
<td align="left">escol_materna</td>
<td align="right">-0.033</td>
<td align="right">0.025</td>
<td align="right">-1.312</td>
<td align="right">0.190</td>
</tr>
<tr class="even">
<td align="left">escol_paterna</td>
<td align="right">-0.023</td>
<td align="right">0.025</td>
<td align="right">-0.906</td>
<td align="right">0.365</td>
</tr>
<tr class="odd">
<td align="left">idade_mae_num</td>
<td align="right">-0.033</td>
<td align="right">0.012</td>
<td align="right">-2.749</td>
<td align="right">0.006</td>
</tr>
<tr class="even">
<td align="left">per_cef</td>
<td align="right">-0.064</td>
<td align="right">0.049</td>
<td align="right">-1.318</td>
<td align="right">0.188</td>
</tr>
<tr class="odd">
<td align="left">renda_familiar</td>
<td align="right">-0.033</td>
<td align="right">0.022</td>
<td align="right">-1.485</td>
<td align="right">0.138</td>
</tr>
</tbody>
</table>
</div>
<div id="plot-com-or-do-modelo-com-p-02-na-análise-bivariada" class="section level4">
<h4>Plot com OR do modelo com p &lt; 0,2 na análise bivariada</h4>
<p>Como pode ser observado na tabela acima, traumatismo no parto se
mostrou como um fator de risco para o desenvolvimento de TB aos 18 ou
aos 22 anos, porém não está presente na figura abaixo por ter
apresentado um odds ratio que ficaria muito fora dos limites do
gráfico.</p>
<p>Além disso, a variável de traumatismo no parto, como pode ser
observado na tabela abaixo, apresentou um intervalo de confiança
superior na razão de chances de 74,8.</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Seed para reprodutibilidade</span></span>
<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">1</span>)</span>
<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb19-4"><a href="#cb19-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Criação dos intervalos de confiança para os parâmetros do modelo ajustado</span></span>
<span id="cb19-5"><a href="#cb19-5" aria-hidden="true" tabindex="-1"></a>intervalos <span class="ot">&lt;-</span> <span class="fu">exp</span>(<span class="fu">confint</span>(mod_filtrado_fit<span class="sc">$</span>fit)) <span class="sc">|&gt;</span></span>
<span id="cb19-6"><a href="#cb19-6" aria-hidden="true" tabindex="-1"></a>    tibble<span class="sc">::</span><span class="fu">as_tibble</span>(<span class="at">rownames =</span> <span class="st">&quot;term&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb19-7"><a href="#cb19-7" aria-hidden="true" tabindex="-1"></a>    janitor<span class="sc">::</span><span class="fu">clean_names</span>()</span></code></pre></div>
<pre><code>## Waiting for profiling to be done...</code></pre>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Mostrar odds ratio com os respectivos intervalos de confiança</span></span>
<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a>or_table <span class="ot">&lt;-</span> mod_filtrado_fit <span class="sc">|&gt;</span> </span>
<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a>    broom<span class="sc">::</span><span class="fu">tidy</span>() <span class="sc">|&gt;</span> </span>
<span id="cb21-4"><a href="#cb21-4" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">left_join</span>(intervalos, <span class="at">by =</span> <span class="st">&quot;term&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb21-5"><a href="#cb21-5" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">transmute</span>(</span>
<span id="cb21-6"><a href="#cb21-6" aria-hidden="true" tabindex="-1"></a>        <span class="at">variavel =</span> term,</span>
<span id="cb21-7"><a href="#cb21-7" aria-hidden="true" tabindex="-1"></a>        <span class="at">or =</span> <span class="fu">exp</span>(estimate),</span>
<span id="cb21-8"><a href="#cb21-8" aria-hidden="true" tabindex="-1"></a>        <span class="at">lower_int =</span> x2_5_percent,</span>
<span id="cb21-9"><a href="#cb21-9" aria-hidden="true" tabindex="-1"></a>        <span class="at">upper_int =</span> x97_5_percent,</span>
<span id="cb21-10"><a href="#cb21-10" aria-hidden="true" tabindex="-1"></a>        <span class="at">pvalue =</span> p.value</span>
<span id="cb21-11"><a href="#cb21-11" aria-hidden="true" tabindex="-1"></a>        )</span>
<span id="cb21-12"><a href="#cb21-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb21-13"><a href="#cb21-13" aria-hidden="true" tabindex="-1"></a>or_table <span class="sc">|&gt;</span> </span>
<span id="cb21-14"><a href="#cb21-14" aria-hidden="true" tabindex="-1"></a>    knitr<span class="sc">::</span><span class="fu">kable</span>(</span>
<span id="cb21-15"><a href="#cb21-15" aria-hidden="true" tabindex="-1"></a>        <span class="at">col.names =</span> <span class="fu">c</span>(<span class="st">&quot;Variável&quot;</span>,</span>
<span id="cb21-16"><a href="#cb21-16" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Odds Ratio&quot;</span>,</span>
<span id="cb21-17"><a href="#cb21-17" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Intervalo Inferior&quot;</span>,</span>
<span id="cb21-18"><a href="#cb21-18" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;Intervalo Superior&quot;</span>,</span>
<span id="cb21-19"><a href="#cb21-19" aria-hidden="true" tabindex="-1"></a>                      <span class="st">&quot;p-valor&quot;</span>),</span>
<span id="cb21-20"><a href="#cb21-20" aria-hidden="true" tabindex="-1"></a>        <span class="at">caption =</span> <span class="st">&quot;Razão de chances para cada variável incluída no modelo final.&quot;</span>,</span>
<span id="cb21-21"><a href="#cb21-21" aria-hidden="true" tabindex="-1"></a>        <span class="at">digits =</span> <span class="dv">3</span></span>
<span id="cb21-22"><a href="#cb21-22" aria-hidden="true" tabindex="-1"></a>    )</span></code></pre></div>
<table>
<caption>Razão de chances para cada variável incluída no modelo
final.</caption>
<colgroup>
<col width="32%" />
<col width="13%" />
<col width="22%" />
<col width="22%" />
<col width="9%" />
</colgroup>
<thead>
<tr class="header">
<th align="left">Variável</th>
<th align="right">Odds Ratio</th>
<th align="right">Intervalo Inferior</th>
<th align="right">Intervalo Superior</th>
<th align="right">p-valor</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">(Intercept)</td>
<td align="right">1.804</td>
<td align="right">0.065</td>
<td align="right">49.321</td>
<td align="right">0.728</td>
</tr>
<tr class="even">
<td align="left">baixo_compSim</td>
<td align="right">1.091</td>
<td align="right">0.719</td>
<td align="right">1.623</td>
<td align="right">0.674</td>
</tr>
<tr class="odd">
<td align="left">baixo_pesoSim</td>
<td align="right">1.014</td>
<td align="right">0.605</td>
<td align="right">1.667</td>
<td align="right">0.957</td>
</tr>
<tr class="even">
<td align="left">cesareaSim</td>
<td align="right">0.997</td>
<td align="right">0.740</td>
<td align="right">1.330</td>
<td align="right">0.983</td>
</tr>
<tr class="odd">
<td align="left">paridadeMaior ou igual a 4</td>
<td align="right">1.877</td>
<td align="right">1.249</td>
<td align="right">2.789</td>
<td align="right">0.002</td>
</tr>
<tr class="even">
<td align="left">tab_gestSim</td>
<td align="right">1.505</td>
<td align="right">1.143</td>
<td align="right">1.995</td>
<td align="right">0.004</td>
</tr>
<tr class="odd">
<td align="left">escol_materna</td>
<td align="right">0.967</td>
<td align="right">0.921</td>
<td align="right">1.016</td>
<td align="right">0.190</td>
</tr>
<tr class="even">
<td align="left">escol_paterna</td>
<td align="right">0.977</td>
<td align="right">0.929</td>
<td align="right">1.027</td>
<td align="right">0.365</td>
</tr>
<tr class="odd">
<td align="left">idade_mae_num</td>
<td align="right">0.968</td>
<td align="right">0.945</td>
<td align="right">0.990</td>
<td align="right">0.006</td>
</tr>
<tr class="even">
<td align="left">per_cef</td>
<td align="right">0.938</td>
<td align="right">0.853</td>
<td align="right">1.032</td>
<td align="right">0.188</td>
</tr>
<tr class="odd">
<td align="left">renda_familiar</td>
<td align="right">0.967</td>
<td align="right">0.922</td>
<td align="right">1.006</td>
<td align="right">0.138</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Criar plot com odds ratio listados acima</span></span>
<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a>or_table <span class="sc">|&gt;</span> </span>
<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(variavel <span class="sc">!=</span> <span class="st">&quot;(Intercept)&quot;</span>) <span class="sc">|&gt;</span> </span>
<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb22-5"><a href="#cb22-5" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">x =</span> or, <span class="at">y =</span> variavel) <span class="sc">+</span></span>
<span id="cb22-6"><a href="#cb22-6" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_point</span>(<span class="at">size =</span> <span class="dv">5</span>, <span class="at">color =</span> <span class="st">&quot;royalblue&quot;</span>) <span class="sc">+</span></span>
<span id="cb22-7"><a href="#cb22-7" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_linerange</span>(</span>
<span id="cb22-8"><a href="#cb22-8" aria-hidden="true" tabindex="-1"></a>        ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">xmin =</span> lower_int, <span class="at">xmax =</span> upper_int),</span>
<span id="cb22-9"><a href="#cb22-9" aria-hidden="true" tabindex="-1"></a>        <span class="at">color =</span> <span class="st">&quot;royalblue&quot;</span>,</span>
<span id="cb22-10"><a href="#cb22-10" aria-hidden="true" tabindex="-1"></a>        <span class="at">size =</span> <span class="fl">0.8</span>) <span class="sc">+</span></span>
<span id="cb22-11"><a href="#cb22-11" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_vline</span>(<span class="at">xintercept =</span> <span class="dv">1</span>) <span class="sc">+</span></span>
<span id="cb22-12"><a href="#cb22-12" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">scale_x_continuous</span>(<span class="at">limits =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">3</span>)) <span class="sc">+</span></span>
<span id="cb22-13"><a href="#cb22-13" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">scale_y_discrete</span>(<span class="at">labels =</span> <span class="fu">c</span>(<span class="st">&quot;Baixo comprimento (sim)&quot;</span>,</span>
<span id="cb22-14"><a href="#cb22-14" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Baixo peso ao nascer (sim)&quot;</span>,</span>
<span id="cb22-15"><a href="#cb22-15" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Cesária (sim)&quot;</span>,</span>
<span id="cb22-16"><a href="#cb22-16" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Escolaridade materna (em anos)&quot;</span>,</span>
<span id="cb22-17"><a href="#cb22-17" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Escolaridade paterna (em anos)&quot;</span>,</span>
<span id="cb22-18"><a href="#cb22-18" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Idade da mãe&quot;</span>,</span>
<span id="cb22-19"><a href="#cb22-19" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Paridade (maior ou igual a 4)&quot;</span>,</span>
<span id="cb22-20"><a href="#cb22-20" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Perímetro cefálico&quot;</span>,</span>
<span id="cb22-21"><a href="#cb22-21" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Renda familiar (em SM)&quot;</span>,</span>
<span id="cb22-22"><a href="#cb22-22" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Tabagismo gestacional (ativo ou passivo)&quot;</span>)) <span class="sc">+</span></span>
<span id="cb22-23"><a href="#cb22-23" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">labs</span>(<span class="at">x =</span> <span class="fu">expression</span>(<span class="fu">paste</span>(<span class="st">&quot;Razão de chances (&quot;</span>, <span class="fu">italic</span>(<span class="st">&quot;odds ratio&quot;</span>), <span class="st">&quot;)&quot;</span>)),</span>
<span id="cb22-24"><a href="#cb22-24" aria-hidden="true" tabindex="-1"></a>                  <span class="at">y =</span> <span class="st">&quot;Variável&quot;</span>) <span class="sc">+</span></span>
<span id="cb22-25"><a href="#cb22-25" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme_minimal</span>(<span class="at">base_size =</span> <span class="dv">20</span>) <span class="sc">+</span></span>
<span id="cb22-26"><a href="#cb22-26" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme</span>(</span>
<span id="cb22-27"><a href="#cb22-27" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.x =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>),</span>
<span id="cb22-28"><a href="#cb22-28" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.y =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>)</span>
<span id="cb22-29"><a href="#cb22-29" aria-hidden="true" tabindex="-1"></a>        )</span></code></pre></div>
<p><img src="data:image/png;base64,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" width="1536" /></p>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Tabela de odds ratio processada</span></span>
<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a>processed_or_table <span class="ot">&lt;-</span> or_table <span class="sc">|&gt;</span> </span>
<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(variavel <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;paridadeMaior ou igual a 4&quot;</span>, <span class="st">&quot;tab_gestSim&quot;</span>,</span>
<span id="cb23-4"><a href="#cb23-4" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;escol_materna&quot;</span>, <span class="st">&quot;escol_paterna&quot;</span>,</span>
<span id="cb23-5"><a href="#cb23-5" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;idade_mae_num&quot;</span>, <span class="st">&quot;per_cef&quot;</span>,</span>
<span id="cb23-6"><a href="#cb23-6" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;renda_familiar&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb23-7"><a href="#cb23-7" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb23-8"><a href="#cb23-8" aria-hidden="true" tabindex="-1"></a>        dplyr<span class="sc">::</span><span class="fu">across</span>(dplyr<span class="sc">::</span><span class="fu">ends_with</span>(<span class="st">&quot;int&quot;</span>), \(x) <span class="fu">as.character</span>(<span class="fu">format</span>(x, <span class="at">digits =</span> <span class="dv">2</span>))),</span>
<span id="cb23-9"><a href="#cb23-9" aria-hidden="true" tabindex="-1"></a>        <span class="at">intervals =</span> stringr<span class="sc">::</span><span class="fu">str_glue</span>(<span class="st">&quot;({lower_int}-{upper_int})&quot;</span>),</span>
<span id="cb23-10"><a href="#cb23-10" aria-hidden="true" tabindex="-1"></a>        <span class="at">variavel =</span> dplyr<span class="sc">::</span><span class="fu">case_when</span>(</span>
<span id="cb23-11"><a href="#cb23-11" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;paridadeMaior ou igual a 4&quot;</span> <span class="sc">~</span> <span class="st">&quot;Parity&quot;</span>,</span>
<span id="cb23-12"><a href="#cb23-12" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;tab_gestSim&quot;</span> <span class="sc">~</span> <span class="st">&quot;Tobbaco in pregnancy&quot;</span>,</span>
<span id="cb23-13"><a href="#cb23-13" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;escol_materna&quot;</span> <span class="sc">~</span> <span class="st">&quot;Maternal years of education&quot;</span>,</span>
<span id="cb23-14"><a href="#cb23-14" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;escol_paterna&quot;</span> <span class="sc">~</span> <span class="st">&quot;Paternal years of education&quot;</span>,</span>
<span id="cb23-15"><a href="#cb23-15" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;idade_mae_num&quot;</span> <span class="sc">~</span> <span class="st">&quot;Maternal age&quot;</span>,</span>
<span id="cb23-16"><a href="#cb23-16" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;per_cef&quot;</span> <span class="sc">~</span> <span class="st">&quot;Head circumference&quot;</span>,</span>
<span id="cb23-17"><a href="#cb23-17" aria-hidden="true" tabindex="-1"></a>            variavel <span class="sc">==</span> <span class="st">&quot;renda_familiar&quot;</span> <span class="sc">~</span> <span class="st">&quot;Family income&quot;</span></span>
<span id="cb23-18"><a href="#cb23-18" aria-hidden="true" tabindex="-1"></a>        ),</span>
<span id="cb23-19"><a href="#cb23-19" aria-hidden="true" tabindex="-1"></a>        <span class="at">pvalue =</span> <span class="fu">format</span>(pvalue, <span class="at">digits =</span> <span class="dv">3</span>)</span>
<span id="cb23-20"><a href="#cb23-20" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb23-21"><a href="#cb23-21" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>dplyr<span class="sc">::</span><span class="fu">ends_with</span>(<span class="st">&quot;int&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb23-22"><a href="#cb23-22" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="at">variable =</span> variavel, <span class="at">adjusted_or =</span> or, intervals, pvalue)</span>
<span id="cb23-23"><a href="#cb23-23" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb23-24"><a href="#cb23-24" aria-hidden="true" tabindex="-1"></a><span class="co"># Exportar tabela para Word</span></span>
<span id="cb23-25"><a href="#cb23-25" aria-hidden="true" tabindex="-1"></a>processed_or_table <span class="sc">|&gt;</span> </span>
<span id="cb23-26"><a href="#cb23-26" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">flextable</span>() <span class="sc">|&gt;</span> </span>
<span id="cb23-27"><a href="#cb23-27" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">save_as_docx</span>(<span class="at">path =</span> <span class="st">&quot;output/tabela_or.docx&quot;</span>)</span></code></pre></div>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Criar plot com odds ratio, porém apenas variáveis significativas da bivariada</span></span>
<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a>plot_apenas_sig <span class="ot">&lt;-</span> or_table <span class="sc">|&gt;</span> </span>
<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(variavel <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;paridadeMaior ou igual a 4&quot;</span>, <span class="st">&quot;tab_gestSim&quot;</span>,</span>
<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;escol_materna&quot;</span>, <span class="st">&quot;escol_paterna&quot;</span>,</span>
<span id="cb24-5"><a href="#cb24-5" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;idade_mae_num&quot;</span>, <span class="st">&quot;per_cef&quot;</span>,</span>
<span id="cb24-6"><a href="#cb24-6" aria-hidden="true" tabindex="-1"></a>                                  <span class="st">&quot;renda_familiar&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb24-7"><a href="#cb24-7" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">ggplot</span>() <span class="sc">+</span></span>
<span id="cb24-8"><a href="#cb24-8" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">x =</span> or, <span class="at">y =</span> variavel) <span class="sc">+</span></span>
<span id="cb24-9"><a href="#cb24-9" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_point</span>(<span class="at">size =</span> <span class="dv">5</span>, <span class="at">color =</span> <span class="st">&quot;royalblue&quot;</span>) <span class="sc">+</span></span>
<span id="cb24-10"><a href="#cb24-10" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_linerange</span>(</span>
<span id="cb24-11"><a href="#cb24-11" aria-hidden="true" tabindex="-1"></a>        ggplot2<span class="sc">::</span><span class="fu">aes</span>(<span class="at">xmin =</span> lower_int, <span class="at">xmax =</span> upper_int),</span>
<span id="cb24-12"><a href="#cb24-12" aria-hidden="true" tabindex="-1"></a>        <span class="at">color =</span> <span class="st">&quot;royalblue&quot;</span>,</span>
<span id="cb24-13"><a href="#cb24-13" aria-hidden="true" tabindex="-1"></a>        <span class="at">size =</span> <span class="fl">0.8</span>) <span class="sc">+</span></span>
<span id="cb24-14"><a href="#cb24-14" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">geom_vline</span>(<span class="at">xintercept =</span> <span class="dv">1</span>) <span class="sc">+</span></span>
<span id="cb24-15"><a href="#cb24-15" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">scale_x_continuous</span>(<span class="at">limits =</span> <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">3</span>)) <span class="sc">+</span></span>
<span id="cb24-16"><a href="#cb24-16" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">scale_y_discrete</span>(<span class="at">labels =</span> <span class="fu">c</span>(<span class="st">&quot;Maternal education level&quot;</span>,</span>
<span id="cb24-17"><a href="#cb24-17" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Paternal education level&quot;</span>,</span>
<span id="cb24-18"><a href="#cb24-18" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Maternal age&quot;</span>,</span>
<span id="cb24-19"><a href="#cb24-19" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Multiparity&quot;</span>,</span>
<span id="cb24-20"><a href="#cb24-20" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Head circumference&quot;</span>,</span>
<span id="cb24-21"><a href="#cb24-21" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Family income&quot;</span>,</span>
<span id="cb24-22"><a href="#cb24-22" aria-hidden="true" tabindex="-1"></a>                                         <span class="st">&quot;Tobacco in pregnancy&quot;</span>)) <span class="sc">+</span></span>
<span id="cb24-23"><a href="#cb24-23" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">labs</span>(<span class="at">x =</span> <span class="st">&quot;Adjusted OR&quot;</span>,</span>
<span id="cb24-24"><a href="#cb24-24" aria-hidden="true" tabindex="-1"></a>                  <span class="at">y =</span> <span class="st">&quot;Exposure&quot;</span>) <span class="sc">+</span></span>
<span id="cb24-25"><a href="#cb24-25" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme_minimal</span>(<span class="at">base_size =</span> <span class="dv">20</span>) <span class="sc">+</span></span>
<span id="cb24-26"><a href="#cb24-26" aria-hidden="true" tabindex="-1"></a>    ggplot2<span class="sc">::</span><span class="fu">theme</span>(</span>
<span id="cb24-27"><a href="#cb24-27" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.x =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>),</span>
<span id="cb24-28"><a href="#cb24-28" aria-hidden="true" tabindex="-1"></a>        <span class="at">axis.text.y =</span> ggplot2<span class="sc">::</span><span class="fu">element_text</span>(<span class="at">size =</span> <span class="dv">20</span>)</span>
<span id="cb24-29"><a href="#cb24-29" aria-hidden="true" tabindex="-1"></a>        )</span>
<span id="cb24-30"><a href="#cb24-30" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb24-31"><a href="#cb24-31" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggsave</span>(<span class="at">plot =</span> plot_apenas_sig,</span>
<span id="cb24-32"><a href="#cb24-32" aria-hidden="true" tabindex="-1"></a>                <span class="at">filename =</span> <span class="st">&quot;output/or_plot.png&quot;</span>,</span>
<span id="cb24-33"><a href="#cb24-33" aria-hidden="true" tabindex="-1"></a>                <span class="at">dpi =</span> <span class="dv">300</span>)</span>
<span id="cb24-34"><a href="#cb24-34" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb24-35"><a href="#cb24-35" aria-hidden="true" tabindex="-1"></a>ggplot2<span class="sc">::</span><span class="fu">ggsave</span>(<span class="at">plot =</span> plot_apenas_sig,</span>
<span id="cb24-36"><a href="#cb24-36" aria-hidden="true" tabindex="-1"></a>                <span class="at">filename =</span> <span class="st">&quot;output/or_plot.pdf&quot;</span>,</span>
<span id="cb24-37"><a href="#cb24-37" aria-hidden="true" tabindex="-1"></a>                <span class="at">dpi =</span> <span class="dv">300</span>)</span></code></pre></div>
</div>
</div>
</div>
<div id="tabela-descritiva-com-dados-perinatais" class="section level2">
<h2>Tabela descritiva com dados perinatais</h2>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a>pvalue <span class="ot">&lt;-</span> <span class="cf">function</span>(x, ...) {</span>
<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Construir vetores com y (desfecho), e grupos (estratificação) chamado g</span></span>
<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a>    y <span class="ot">&lt;-</span> <span class="fu">unlist</span>(x)</span>
<span id="cb25-4"><a href="#cb25-4" aria-hidden="true" tabindex="-1"></a>    g <span class="ot">&lt;-</span> <span class="fu">factor</span>(<span class="fu">rep</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">length</span>(x), <span class="at">times=</span><span class="fu">sapply</span>(x, length)))</span>
<span id="cb25-5"><a href="#cb25-5" aria-hidden="true" tabindex="-1"></a>    <span class="cf">if</span> (<span class="fu">is.numeric</span>(y)) {</span>
<span id="cb25-6"><a href="#cb25-6" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Para variáveis numéricas, performar um teste t de duas amostras</span></span>
<span id="cb25-7"><a href="#cb25-7" aria-hidden="true" tabindex="-1"></a>        p <span class="ot">&lt;-</span> <span class="fu">t.test</span>(y <span class="sc">~</span> g)<span class="sc">$</span>p.value</span>
<span id="cb25-8"><a href="#cb25-8" aria-hidden="true" tabindex="-1"></a>    } <span class="cf">else</span> {</span>
<span id="cb25-9"><a href="#cb25-9" aria-hidden="true" tabindex="-1"></a>        <span class="co"># For categorical variables, perform a chi-squared test of independence</span></span>
<span id="cb25-10"><a href="#cb25-10" aria-hidden="true" tabindex="-1"></a>        <span class="co"># Para variáveis categóricas, performar um teste qui-quadrado de independência</span></span>
<span id="cb25-11"><a href="#cb25-11" aria-hidden="true" tabindex="-1"></a>        p <span class="ot">&lt;-</span> <span class="fu">chisq.test</span>(<span class="fu">table</span>(y, g))<span class="sc">$</span>p.value</span>
<span id="cb25-12"><a href="#cb25-12" aria-hidden="true" tabindex="-1"></a>    }</span>
<span id="cb25-13"><a href="#cb25-13" aria-hidden="true" tabindex="-1"></a>    <span class="co"># Formatar o p-valor usando sintaxe em HTML para o símbolo de &quot;menor que&quot;</span></span>
<span id="cb25-14"><a href="#cb25-14" aria-hidden="true" tabindex="-1"></a>    <span class="co"># A string vazia coloca o output do p-valor na linha abaixo do rótulo da variável</span></span>
<span id="cb25-15"><a href="#cb25-15" aria-hidden="true" tabindex="-1"></a>    <span class="fu">c</span>(<span class="st">&quot;&quot;</span>, <span class="fu">sub</span>(<span class="st">&quot;&lt;&quot;</span>, <span class="st">&quot;&amp;lt;&quot;</span>, <span class="fu">format.pval</span>(p, <span class="at">digits=</span><span class="dv">3</span>, <span class="at">eps=</span><span class="fl">0.001</span>)))</span>
<span id="cb25-16"><a href="#cb25-16" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb25-17"><a href="#cb25-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb25-18"><a href="#cb25-18" aria-hidden="true" tabindex="-1"></a><span class="co"># Gerar objeto da tabela com dados perinatais</span></span>
<span id="cb25-19"><a href="#cb25-19" aria-hidden="true" tabindex="-1"></a><span class="co"># O underscore (_) indica o placeholder do pipe nativo do R</span></span>
<span id="cb25-20"><a href="#cb25-20" aria-hidden="true" tabindex="-1"></a>tabela_peri <span class="ot">&lt;-</span> da_proc <span class="sc">|&gt;</span> </span>
<span id="cb25-21"><a href="#cb25-21" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">table1</span>(<span class="sc">~</span> cesarea <span class="sc">+</span> parto_induzido <span class="sc">+</span> uti_neo <span class="sc">+</span> hipert_materna <span class="sc">+</span></span>
<span id="cb25-22"><a href="#cb25-22" aria-hidden="true" tabindex="-1"></a>                       dm_materna <span class="sc">+</span> infec_gest <span class="sc">+</span> anemia_gest <span class="sc">+</span> hemorr_parto <span class="sc">+</span></span>
<span id="cb25-23"><a href="#cb25-23" aria-hidden="true" tabindex="-1"></a>                       tab_gest <span class="sc">+</span> etil_pesado_gest <span class="sc">+</span> rup_famil <span class="sc">+</span> baixo_peso <span class="sc">+</span></span>
<span id="cb25-24"><a href="#cb25-24" aria-hidden="true" tabindex="-1"></a>                       baixo_comp <span class="sc">+</span> per_cef <span class="sc">+</span> escol_paterna <span class="sc">+</span> escol_materna <span class="sc">+</span></span>
<span id="cb25-25"><a href="#cb25-25" aria-hidden="true" tabindex="-1"></a>                       paridade <span class="sc">+</span> apoio_familiar <span class="sc">+</span> idade_mae_num <span class="sc">+</span></span>
<span id="cb25-26"><a href="#cb25-26" aria-hidden="true" tabindex="-1"></a>                       pretende_amamentar <span class="sc">+</span> apgar_1 <span class="sc">+</span> apgar_5 <span class="sc">+</span> renda_familiar <span class="sc">+</span></span>
<span id="cb25-27"><a href="#cb25-27" aria-hidden="true" tabindex="-1"></a>                       complicacoes <span class="sc">|</span> tb_dic, <span class="at">data =</span> _,</span>
<span id="cb25-28"><a href="#cb25-28" aria-hidden="true" tabindex="-1"></a>                   <span class="at">extra.col =</span> <span class="fu">list</span>(<span class="st">&quot;p-value&quot;</span> <span class="ot">=</span> pvalue),</span>
<span id="cb25-29"><a href="#cb25-29" aria-hidden="true" tabindex="-1"></a>                   <span class="at">overall =</span> <span class="cn">FALSE</span>)</span>
<span id="cb25-30"><a href="#cb25-30" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb25-31"><a href="#cb25-31" aria-hidden="true" tabindex="-1"></a><span class="co"># Transformar para formato kable para melhor visualização</span></span>
<span id="cb25-32"><a href="#cb25-32" aria-hidden="true" tabindex="-1"></a>tabela_peri <span class="sc">|&gt;</span> </span>
<span id="cb25-33"><a href="#cb25-33" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">t1kable</span>()</span></code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
 
</th>
<th style="text-align:left;">
Não
</th>
<th style="text-align:left;">
Sim
</th>
<th style="text-align:left;">
p-value
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:left;">
(N=3526)
</td>
<td style="text-align:left;">
(N=268)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>cesarea</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2415 (68.5%)
</td>
<td style="text-align:left;">
198 (73.9%)
</td>
<td style="text-align:left;">
0.077
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1111 (31.5%)
</td>
<td style="text-align:left;">
70 (26.1%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>parto_induzido</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2411 (68.4%)
</td>
<td style="text-align:left;">
188 (70.1%)
</td>
<td style="text-align:left;">
0.594
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1115 (31.6%)
</td>
<td style="text-align:left;">
80 (29.9%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>uti_neo</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3446 (97.7%)
</td>
<td style="text-align:left;">
259 (96.6%)
</td>
<td style="text-align:left;">
0.337
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
79 (2.2%)
</td>
<td style="text-align:left;">
9 (3.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
1 (0.0%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="4">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>hipert_materna</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
nao
</td>
<td style="text-align:left;">
2928 (83.0%)
</td>
<td style="text-align:left;">
224 (83.6%)
</td>
<td style="text-align:left;">
0.4
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
nao tratado
</td>
<td style="text-align:left;">
135 (3.8%)
</td>
<td style="text-align:left;">
8 (3.0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
tratado
</td>
<td style="text-align:left;">
409 (11.6%)
</td>
<td style="text-align:left;">
24 (9.0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
54 (1.5%)
</td>
<td style="text-align:left;">
12 (4.5%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>dm_materna</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3432 (97.3%)
</td>
<td style="text-align:left;">
260 (97.0%)
</td>
<td style="text-align:left;">
0.908
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
94 (2.7%)
</td>
<td style="text-align:left;">
8 (3.0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>infec_gest</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2083 (59.1%)
</td>
<td style="text-align:left;">
157 (58.6%)
</td>
<td style="text-align:left;">
0.925
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1443 (40.9%)
</td>
<td style="text-align:left;">
111 (41.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>anemia_gest</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
1939 (55.0%)
</td>
<td style="text-align:left;">
138 (51.5%)
</td>
<td style="text-align:left;">
0.296
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1587 (45.0%)
</td>
<td style="text-align:left;">
130 (48.5%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>hemorr_parto</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
1057 (30.0%)
</td>
<td style="text-align:left;">
65 (24.3%)
</td>
<td style="text-align:left;">
0.36
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
33 (0.9%)
</td>
<td style="text-align:left;">
4 (1.5%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
2436 (69.1%)
</td>
<td style="text-align:left;">
199 (74.3%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>tab_gest</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
1531 (43.4%)
</td>
<td style="text-align:left;">
82 (30.6%)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1992 (56.5%)
</td>
<td style="text-align:left;">
186 (69.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
3 (0.1%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>etil_pesado_gest</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3490 (99.0%)
</td>
<td style="text-align:left;">
266 (99.3%)
</td>
<td style="text-align:left;">
0.907
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
36 (1.0%)
</td>
<td style="text-align:left;">
2 (0.7%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>rup_famil</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3109 (88.2%)
</td>
<td style="text-align:left;">
229 (85.4%)
</td>
<td style="text-align:left;">
0.22
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
417 (11.8%)
</td>
<td style="text-align:left;">
39 (14.6%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>baixo_peso</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3215 (91.2%)
</td>
<td style="text-align:left;">
237 (88.4%)
</td>
<td style="text-align:left;">
0.138
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
306 (8.7%)
</td>
<td style="text-align:left;">
31 (11.6%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
5 (0.1%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>baixo_comp</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2992 (84.9%)
</td>
<td style="text-align:left;">
216 (80.6%)
</td>
<td style="text-align:left;">
0.0862
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
504 (14.3%)
</td>
<td style="text-align:left;">
49 (18.3%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
30 (0.9%)
</td>
<td style="text-align:left;">
3 (1.1%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>perimetro cefalico</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
34.7 (1.58)
</td>
<td style="text-align:left;">
34.4 (1.53)
</td>
<td style="text-align:left;">
0.00488
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
35.0 [24.0, 40.5]
</td>
<td style="text-align:left;">
34.5 [29.0, 40.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
29 (0.8%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>escolaridade paterna em anos</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
6.98 (3.54)
</td>
<td style="text-align:left;">
6.00 (3.21)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
6.00 [0, 19.0]
</td>
<td style="text-align:left;">
5.00 [0, 16.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
242 (6.9%)
</td>
<td style="text-align:left;">
18 (6.7%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>escolaridade materna em anos</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
6.93 (3.60)
</td>
<td style="text-align:left;">
5.82 (2.92)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
6.00 [0, 23.0]
</td>
<td style="text-align:left;">
5.00 [0, 16.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
6 (0.2%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>paridade</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Menor que 4
</td>
<td style="text-align:left;">
3156 (89.5%)
</td>
<td style="text-align:left;">
222 (82.8%)
</td>
<td style="text-align:left;">
0.00108
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Maior ou igual a 4
</td>
<td style="text-align:left;">
370 (10.5%)
</td>
<td style="text-align:left;">
46 (17.2%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>apoio_familiar</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
350 (9.9%)
</td>
<td style="text-align:left;">
29 (10.8%)
</td>
<td style="text-align:left;">
0.715
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
3176 (90.1%)
</td>
<td style="text-align:left;">
239 (89.2%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>idade materna (anos)</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
26.1 (6.40)
</td>
<td style="text-align:left;">
25.2 (6.31)
</td>
<td style="text-align:left;">
0.0209
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
26.0 [13.0, 47.0]
</td>
<td style="text-align:left;">
25.0 [14.0, 40.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>pretende_amamentar</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
21 (0.6%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
0.399
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
3488 (98.9%)
</td>
<td style="text-align:left;">
268 (100%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
17 (0.5%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>apgar no minuto 1</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
8.41 (1.40)
</td>
<td style="text-align:left;">
8.45 (1.24)
</td>
<td style="text-align:left;">
0.734
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
9.00 [0, 10.0]
</td>
<td style="text-align:left;">
9.00 [1.00, 10.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
965 (27.4%)
</td>
<td style="text-align:left;">
82 (30.6%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>apgar no minuto 5</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
9.56 (0.847)
</td>
<td style="text-align:left;">
9.60 (0.684)
</td>
<td style="text-align:left;">
0.433
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
10.0 [0, 10.0]
</td>
<td style="text-align:left;">
10.0 [7.00, 10.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
963 (27.3%)
</td>
<td style="text-align:left;">
81 (30.2%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>renda familiar</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
4.47 (6.14)
</td>
<td style="text-align:left;">
3.10 (3.00)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
3.00 [0, 88.2]
</td>
<td style="text-align:left;">
2.00 [0.100, 20.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
62 (1.8%)
</td>
<td style="text-align:left;">
7 (2.6%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>complicacoes</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
3438 (97.5%)
</td>
<td style="text-align:left;">
258 (96.3%)
</td>
<td style="text-align:left;">
0.303
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
88 (2.5%)
</td>
<td style="text-align:left;">
10 (3.7%)
</td>
<td style="text-align:left;">
</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Exportar tabela para Word</span></span>
<span id="cb26-2"><a href="#cb26-2" aria-hidden="true" tabindex="-1"></a>tabela_peri <span class="sc">|&gt;</span> </span>
<span id="cb26-3"><a href="#cb26-3" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">t1flex</span>() <span class="sc">|&gt;</span> </span>
<span id="cb26-4"><a href="#cb26-4" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">save_as_docx</span>(<span class="at">path =</span> <span class="st">&quot;output/tabela_peri.docx&quot;</span>)</span></code></pre></div>
</div>
<div id="tabela-descritiva-com-dados-do-follow-up" class="section level2">
<h2>Tabela descritiva com dados do follow-up</h2>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a><span class="co"># ld023a = estado civil</span></span>
<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a><span class="co">#lescoljovemano = anos de estudo</span></span>
<span id="cb27-3"><a href="#cb27-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb27-4"><a href="#cb27-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Gerar tabela descritiva com dados do follow-up</span></span>
<span id="cb27-5"><a href="#cb27-5" aria-hidden="true" tabindex="-1"></a>tabela_follow <span class="ot">&lt;-</span> dados_com_desfecho <span class="sc">|&gt;</span> </span>
<span id="cb27-6"><a href="#cb27-6" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">rename</span>(</span>
<span id="cb27-7"><a href="#cb27-7" aria-hidden="true" tabindex="-1"></a>        <span class="at">cocaina_lifetime =</span> ldc007, <span class="co"># Necessita recode</span></span>
<span id="cb27-8"><a href="#cb27-8" aria-hidden="true" tabindex="-1"></a>        <span class="at">maconha_lifetime =</span> ldc006, <span class="co"># Necessita recode</span></span>
<span id="cb27-9"><a href="#cb27-9" aria-hidden="true" tabindex="-1"></a>        <span class="at">status_socio =</span> labep3,</span>
<span id="cb27-10"><a href="#cb27-10" aria-hidden="true" tabindex="-1"></a>        <span class="at">trabalha_atualmente =</span> ld011,</span>
<span id="cb27-11"><a href="#cb27-11" aria-hidden="true" tabindex="-1"></a>        <span class="at">sexo =</span> sexonovo,</span>
<span id="cb27-12"><a href="#cb27-12" aria-hidden="true" tabindex="-1"></a>        <span class="at">estado_civil =</span> ld023a,</span>
<span id="cb27-13"><a href="#cb27-13" aria-hidden="true" tabindex="-1"></a>        <span class="at">anos_de_estudo =</span> lescoljovemano) <span class="sc">|&gt;</span> </span>
<span id="cb27-14"><a href="#cb27-14" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb27-15"><a href="#cb27-15" aria-hidden="true" tabindex="-1"></a>        dplyr<span class="sc">::</span><span class="fu">across</span>(dplyr<span class="sc">::</span><span class="fu">ends_with</span>(<span class="st">&quot;lifetime&quot;</span>),</span>
<span id="cb27-16"><a href="#cb27-16" aria-hidden="true" tabindex="-1"></a>                      \(x) <span class="fu">as.factor</span>(dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb27-17"><a href="#cb27-17" aria-hidden="true" tabindex="-1"></a>                          <span class="fu">as.character</span>(x) <span class="sc">==</span> <span class="st">&quot;Nunca usei&quot;</span>,</span>
<span id="cb27-18"><a href="#cb27-18" aria-hidden="true" tabindex="-1"></a>                          <span class="st">&quot;Não&quot;</span>, <span class="st">&quot;Sim&quot;</span></span>
<span id="cb27-19"><a href="#cb27-19" aria-hidden="true" tabindex="-1"></a>                      )))</span>
<span id="cb27-20"><a href="#cb27-20" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb27-21"><a href="#cb27-21" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">table1</span>(<span class="sc">~</span> sexo <span class="sc">+</span> status_socio <span class="sc">+</span> estado_civil <span class="sc">+</span> anos_de_estudo <span class="sc">+</span> trabalha_atualmente <span class="sc">+</span> maconha_lifetime <span class="sc">+</span> cocaina_lifetime <span class="sc">|</span> outcome,</span>
<span id="cb27-22"><a href="#cb27-22" aria-hidden="true" tabindex="-1"></a>                   <span class="at">data =</span> _, <span class="co"># Placeholder do pipe nativo</span></span>
<span id="cb27-23"><a href="#cb27-23" aria-hidden="true" tabindex="-1"></a>                   <span class="at">extra.col =</span> <span class="fu">list</span>(<span class="st">&quot;p-value&quot;</span> <span class="ot">=</span> pvalue),</span>
<span id="cb27-24"><a href="#cb27-24" aria-hidden="true" tabindex="-1"></a>                   <span class="at">overall =</span> <span class="cn">FALSE</span>)</span>
<span id="cb27-25"><a href="#cb27-25" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb27-26"><a href="#cb27-26" aria-hidden="true" tabindex="-1"></a><span class="co"># Transformar tabela em formato kable para melhor visualização no Rmd compilado</span></span>
<span id="cb27-27"><a href="#cb27-27" aria-hidden="true" tabindex="-1"></a>tabela_follow <span class="sc">|&gt;</span> </span>
<span id="cb27-28"><a href="#cb27-28" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">t1kable</span>()</span></code></pre></div>
<table>
<thead>
<tr>
<th style="text-align:left;">
 
</th>
<th style="text-align:left;">
Não
</th>
<th style="text-align:left;">
Sim
</th>
<th style="text-align:left;">
p-value
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:left;">
(N=3526)
</td>
<td style="text-align:left;">
(N=268)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="2">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>sexo do recem-nascido - arrumada em agosto 2015</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
masculino
</td>
<td style="text-align:left;">
1690 (47.9%)
</td>
<td style="text-align:left;">
109 (40.7%)
</td>
<td style="text-align:left;">
0.0257
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
feminino
</td>
<td style="text-align:left;">
1836 (52.1%)
</td>
<td style="text-align:left;">
159 (59.3%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="4">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>classe economica abep em 3 categorias</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
A/B
</td>
<td style="text-align:left;">
1386 (39.3%)
</td>
<td style="text-align:left;">
51 (19.0%)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
C
</td>
<td style="text-align:left;">
1761 (49.9%)
</td>
<td style="text-align:left;">
148 (55.2%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
D/E
</td>
<td style="text-align:left;">
330 (9.4%)
</td>
<td style="text-align:left;">
45 (16.8%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
49 (1.4%)
</td>
<td style="text-align:left;">
24 (9.0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="5">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>Qual e o teu estado civil?</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Casado(a)/Uniao estavel
</td>
<td style="text-align:left;">
534 (15.1%)
</td>
<td style="text-align:left;">
45 (16.8%)
</td>
<td style="text-align:left;">
0.664
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Divorciado(a)/Separado(a)
</td>
<td style="text-align:left;">
18 (0.5%)
</td>
<td style="text-align:left;">
1 (0.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Solteiro(a)
</td>
<td style="text-align:left;">
2946 (83.6%)
</td>
<td style="text-align:left;">
202 (75.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Viuvo(a)
</td>
<td style="text-align:left;">
1 (0.0%)
</td>
<td style="text-align:left;">
0 (0%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
27 (0.8%)
</td>
<td style="text-align:left;">
20 (7.5%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>Variavel continua - anos de estudo do jovem</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Mean (SD)
</td>
<td style="text-align:left;">
9.86 (2.43)
</td>
<td style="text-align:left;">
8.67 (2.50)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Median [Min, Max]
</td>
<td style="text-align:left;">
11.0 [0, 12.0]
</td>
<td style="text-align:left;">
8.50 [4.00, 12.0]
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
30 (0.9%)
</td>
<td style="text-align:left;">
20 (7.5%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>Tu estas trabalhando atualmente?</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Nao
</td>
<td style="text-align:left;">
1045 (29.6%)
</td>
<td style="text-align:left;">
92 (34.3%)
</td>
<td style="text-align:left;">
0.0571
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
2220 (63.0%)
</td>
<td style="text-align:left;">
149 (55.6%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
261 (7.4%)
</td>
<td style="text-align:left;">
27 (10.1%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>maconha_lifetime</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2103 (59.6%)
</td>
<td style="text-align:left;">
123 (45.9%)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
1200 (34.0%)
</td>
<td style="text-align:left;">
116 (43.3%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
223 (6.3%)
</td>
<td style="text-align:left;">
29 (10.8%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr grouplength="3">
<td colspan="4" style="border-bottom: 1px solid;">
<strong>cocaina_lifetime</strong>
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Não
</td>
<td style="text-align:left;">
2794 (79.2%)
</td>
<td style="text-align:left;">
168 (62.7%)
</td>
<td style="text-align:left;">
&amp;lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Sim
</td>
<td style="text-align:left;">
500 (14.2%)
</td>
<td style="text-align:left;">
72 (26.9%)
</td>
<td style="text-align:left;">
</td>
</tr>
<tr>
<td style="text-align:left;padding-left: 2em;" indentlevel="1">
Missing
</td>
<td style="text-align:left;">
232 (6.6%)
</td>
<td style="text-align:left;">
28 (10.4%)
</td>
<td style="text-align:left;">
</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Exportar tabela para Word</span></span>
<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a>tabela_follow <span class="sc">|&gt;</span> </span>
<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a>    table1<span class="sc">::</span><span class="fu">t1flex</span>() <span class="sc">|&gt;</span> </span>
<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">save_as_docx</span>(<span class="at">path =</span> <span class="st">&quot;output/tabela_follow.docx&quot;</span>)</span></code></pre></div>
</div>
<div id="ocitocina-e-tb" class="section level2">
<h2>Ocitocina e TB</h2>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="co"># ainduz = parto foi induzido (rompeu bolsa, soro, ambos, nao)</span></span>
<span id="cb29-2"><a href="#cb29-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb29-3"><a href="#cb29-3" aria-hidden="true" tabindex="-1"></a>dados_oci <span class="ot">&lt;-</span> dados_com_desfecho <span class="sc">|&gt;</span> </span>
<span id="cb29-4"><a href="#cb29-4" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(<span class="at">ocitocina =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb29-5"><a href="#cb29-5" aria-hidden="true" tabindex="-1"></a>        ainduz <span class="sc">==</span> <span class="st">&quot;soro&quot;</span>, <span class="st">&quot;Sim&quot;</span>, <span class="st">&quot;Não&quot;</span></span>
<span id="cb29-6"><a href="#cb29-6" aria-hidden="true" tabindex="-1"></a>    ))</span>
<span id="cb29-7"><a href="#cb29-7" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb29-8"><a href="#cb29-8" aria-hidden="true" tabindex="-1"></a>janitor<span class="sc">::</span><span class="fu">tabyl</span>(</span>
<span id="cb29-9"><a href="#cb29-9" aria-hidden="true" tabindex="-1"></a>    <span class="at">dat =</span> dados_oci,</span>
<span id="cb29-10"><a href="#cb29-10" aria-hidden="true" tabindex="-1"></a>    <span class="at">var1 =</span> ocitocina,</span>
<span id="cb29-11"><a href="#cb29-11" aria-hidden="true" tabindex="-1"></a>    <span class="at">var2 =</span> outcome,</span>
<span id="cb29-12"><a href="#cb29-12" aria-hidden="true" tabindex="-1"></a>    <span class="at">show_na =</span> <span class="cn">TRUE</span></span>
<span id="cb29-13"><a href="#cb29-13" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
<pre><code>##  ocitocina  Não Sim
##        Não 3182 241
##        Sim  344  27</code></pre>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a>chi_oci <span class="ot">&lt;-</span> <span class="fu">chisq.test</span>(<span class="at">x =</span> dados_oci<span class="sc">$</span>ocitocina,</span>
<span id="cb31-2"><a href="#cb31-2" aria-hidden="true" tabindex="-1"></a>           <span class="at">y =</span> dados_oci<span class="sc">$</span>outcome,</span>
<span id="cb31-3"><a href="#cb31-3" aria-hidden="true" tabindex="-1"></a>           <span class="at">correct =</span> <span class="cn">TRUE</span>)</span></code></pre></div>
<p>O p-valor do teste qui-quadrado entre ocitocina e o desfecho de TB no
início da vida adulta foi de 0.9500999</p>
</div>
<div id="possível-mediação-da-renda-familiar-no-efeito-da-paridade" class="section level1">
<h1>Possível mediação da renda familiar no efeito da paridade</h1>
<p>Abaixo, cria-se um modelo de modelagem de equações estruturais para
verificar a possível mediação da renda familiar no efeito da paridade
(número de filhos) no desfecho de desenvolvimento de transtorno bipolar
na idade adulta.</p>
<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" aria-hidden="true" tabindex="-1"></a><span class="fu">set.seed</span>(<span class="dv">1</span>)</span>
<span id="cb32-2"><a href="#cb32-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb32-3"><a href="#cb32-3" aria-hidden="true" tabindex="-1"></a>da_med <span class="ot">&lt;-</span> da_imp <span class="sc">|&gt;</span> </span>
<span id="cb32-4"><a href="#cb32-4" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(tb_dic, paridade, renda_familiar) <span class="sc">|&gt;</span> </span>
<span id="cb32-5"><a href="#cb32-5" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb32-6"><a href="#cb32-6" aria-hidden="true" tabindex="-1"></a>        <span class="at">paridade =</span> dplyr<span class="sc">::</span><span class="fu">if_else</span>(</span>
<span id="cb32-7"><a href="#cb32-7" aria-hidden="true" tabindex="-1"></a>            paridade <span class="sc">==</span> <span class="st">&quot;Menor que 4&quot;</span>, <span class="dv">0</span>, <span class="dv">1</span></span>
<span id="cb32-8"><a href="#cb32-8" aria-hidden="true" tabindex="-1"></a>        )</span>
<span id="cb32-9"><a href="#cb32-9" aria-hidden="true" tabindex="-1"></a>    )</span>
<span id="cb32-10"><a href="#cb32-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb32-11"><a href="#cb32-11" aria-hidden="true" tabindex="-1"></a>med_mod <span class="ot">&lt;-</span> <span class="st">&quot;# Mediação da renda para paridade como preditor de TB</span></span>
<span id="cb32-12"><a href="#cb32-12" aria-hidden="true" tabindex="-1"></a><span class="st">renda_familiar ~ a*paridade</span></span>
<span id="cb32-13"><a href="#cb32-13" aria-hidden="true" tabindex="-1"></a><span class="st">tb_dic ~ b*renda_familiar + c*paridade</span></span>
<span id="cb32-14"><a href="#cb32-14" aria-hidden="true" tabindex="-1"></a><span class="st"># Efeito indireto</span></span>
<span id="cb32-15"><a href="#cb32-15" aria-hidden="true" tabindex="-1"></a><span class="st">indireto := a * b</span></span>
<span id="cb32-16"><a href="#cb32-16" aria-hidden="true" tabindex="-1"></a><span class="st"># Efeito direto</span></span>
<span id="cb32-17"><a href="#cb32-17" aria-hidden="true" tabindex="-1"></a><span class="st">direto := c</span></span>
<span id="cb32-18"><a href="#cb32-18" aria-hidden="true" tabindex="-1"></a><span class="st"># Efeito total</span></span>
<span id="cb32-19"><a href="#cb32-19" aria-hidden="true" tabindex="-1"></a><span class="st">total := c + (a * b)&quot;</span></span>
<span id="cb32-20"><a href="#cb32-20" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb32-21"><a href="#cb32-21" aria-hidden="true" tabindex="-1"></a>med_fit <span class="ot">&lt;-</span> lavaan<span class="sc">::</span><span class="fu">sem</span>(</span>
<span id="cb32-22"><a href="#cb32-22" aria-hidden="true" tabindex="-1"></a>    med_mod,</span>
<span id="cb32-23"><a href="#cb32-23" aria-hidden="true" tabindex="-1"></a>    <span class="at">data =</span> da_med,</span>
<span id="cb32-24"><a href="#cb32-24" aria-hidden="true" tabindex="-1"></a>    <span class="at">ordered =</span> <span class="st">&quot;tb_dic&quot;</span></span>
<span id="cb32-25"><a href="#cb32-25" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb32-26"><a href="#cb32-26" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb32-27"><a href="#cb32-27" aria-hidden="true" tabindex="-1"></a>mc_mediation_ci <span class="ot">&lt;-</span> semTools<span class="sc">::</span><span class="fu">monteCarloCI</span>(med_fit, <span class="at">nRep =</span> <span class="dv">20000</span>)</span>
<span id="cb32-28"><a href="#cb32-28" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb32-29"><a href="#cb32-29" aria-hidden="true" tabindex="-1"></a>mc_mediation_ci <span class="sc">|&gt;</span></span>
<span id="cb32-30"><a href="#cb32-30" aria-hidden="true" tabindex="-1"></a>    tibble<span class="sc">::</span><span class="fu">rownames_to_column</span>(<span class="st">&quot;Efeito&quot;</span>) <span class="sc">|&gt;</span></span>
<span id="cb32-31"><a href="#cb32-31" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="st">&quot;Beta&quot;</span> <span class="ot">=</span> est,</span>
<span id="cb32-32"><a href="#cb32-32" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 2.5%&quot;</span> <span class="ot">=</span> ci.lower,</span>
<span id="cb32-33"><a href="#cb32-33" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 97.5%&quot;</span> <span class="ot">=</span> ci.upper) <span class="sc">|&gt;</span></span>
<span id="cb32-34"><a href="#cb32-34" aria-hidden="true" tabindex="-1"></a>    knitr<span class="sc">::</span><span class="fu">kable</span>(<span class="at">caption =</span> <span class="st">&quot;Beta e intervalos de confiança de cada efeito do modelo de mediação baseado no método Monte Carlo com 20.000 amostras.&quot;</span>,</span>
<span id="cb32-35"><a href="#cb32-35" aria-hidden="true" tabindex="-1"></a>                 <span class="at">digits =</span> <span class="dv">3</span>)</span></code></pre></div>
<table>
<caption>
Beta e intervalos de confiança de cada efeito do modelo de mediação
baseado no método Monte Carlo com 20.000 amostras.
</caption>
<thead>
<tr>
<th style="text-align:left;">
Efeito
</th>
<th style="text-align:right;">
Beta
</th>
<th style="text-align:right;">
IC 2.5%
</th>
<th style="text-align:right;">
IC 97.5%
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
indireto
</td>
<td style="text-align:right;">
0.049
</td>
<td style="text-align:right;">
0.014
</td>
<td style="text-align:right;">
0.093
</td>
</tr>
<tr>
<td style="text-align:left;">
direto
</td>
<td style="text-align:right;">
0.236
</td>
<td style="text-align:right;">
0.060
</td>
<td style="text-align:right;">
0.413
</td>
</tr>
<tr>
<td style="text-align:left;">
total
</td>
<td style="text-align:right;">
0.285
</td>
<td style="text-align:right;">
0.111
</td>
<td style="text-align:right;">
0.459
</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a>broom<span class="sc">::</span><span class="fu">tidy</span>(med_fit, <span class="at">conf.int =</span> <span class="cn">TRUE</span>) <span class="sc">|&gt;</span> </span>
<span id="cb33-2"><a href="#cb33-2" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="st">&quot;Termo&quot;</span> <span class="ot">=</span> term,</span>
<span id="cb33-3"><a href="#cb33-3" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Rótulo&quot;</span> <span class="ot">=</span> label,</span>
<span id="cb33-4"><a href="#cb33-4" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Beta&quot;</span> <span class="ot">=</span> estimate,</span>
<span id="cb33-5"><a href="#cb33-5" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Erro&quot;</span> <span class="ot">=</span> std.error,</span>
<span id="cb33-6"><a href="#cb33-6" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;p-valor&quot;</span> <span class="ot">=</span> p.value,</span>
<span id="cb33-7"><a href="#cb33-7" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 2.5%&quot;</span> <span class="ot">=</span> conf.low,</span>
<span id="cb33-8"><a href="#cb33-8" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 97.5%&quot;</span> <span class="ot">=</span> conf.high,</span>
<span id="cb33-9"><a href="#cb33-9" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Beta_std&quot;</span> <span class="ot">=</span> std.all) <span class="sc">|&gt;</span> </span>
<span id="cb33-10"><a href="#cb33-10" aria-hidden="true" tabindex="-1"></a>    knitr<span class="sc">::</span><span class="fu">kable</span>(<span class="at">caption =</span> <span class="st">&quot;Tabela com parâmetros do modelo de modelagem de equações estruturais e respectivos rótulos.&quot;</span>, <span class="at">digits =</span> <span class="dv">3</span>, <span class="at">format =</span> <span class="st">&quot;html&quot;</span>)</span></code></pre></div>
<table>
<caption>
Tabela com parâmetros do modelo de modelagem de equações estruturais e
respectivos rótulos.
</caption>
<thead>
<tr>
<th style="text-align:left;">
Termo
</th>
<th style="text-align:left;">
Rótulo
</th>
<th style="text-align:right;">
Beta
</th>
<th style="text-align:right;">
Erro
</th>
<th style="text-align:right;">
p-valor
</th>
<th style="text-align:right;">
IC 2.5%
</th>
<th style="text-align:right;">
IC 97.5%
</th>
<th style="text-align:right;">
Beta_std
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
renda_familiar ~ paridade
</td>
<td style="text-align:left;">
a
</td>
<td style="text-align:right;">
-1.430
</td>
<td style="text-align:right;">
0.471
</td>
<td style="text-align:right;">
0.002
</td>
<td style="text-align:right;">
-2.352
</td>
<td style="text-align:right;">
-0.507
</td>
<td style="text-align:right;">
-0.075
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic ~ renda_familiar
</td>
<td style="text-align:left;">
b
</td>
<td style="text-align:right;">
-0.034
</td>
<td style="text-align:right;">
0.008
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
-0.051
</td>
<td style="text-align:right;">
-0.018
</td>
<td style="text-align:right;">
-0.201
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic ~ paridade
</td>
<td style="text-align:left;">
c
</td>
<td style="text-align:right;">
0.236
</td>
<td style="text-align:right;">
0.090
</td>
<td style="text-align:right;">
0.009
</td>
<td style="text-align:right;">
0.060
</td>
<td style="text-align:right;">
0.412
</td>
<td style="text-align:right;">
0.074
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic | t1
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
1.355
</td>
<td style="text-align:right;">
0.051
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
1.254
</td>
<td style="text-align:right;">
1.456
</td>
<td style="text-align:right;">
1.350
</td>
</tr>
<tr>
<td style="text-align:left;">
renda_familiar ~~ renda_familiar
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
34.980
</td>
<td style="text-align:right;">
0.262
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
34.468
</td>
<td style="text-align:right;">
35.493
</td>
<td style="text-align:right;">
0.994
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic ~~ tb_dic
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
0.959
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
0.959
</td>
<td style="text-align:right;">
0.959
</td>
<td style="text-align:right;">
0.952
</td>
</tr>
<tr>
<td style="text-align:left;">
paridade ~~ paridade
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
0.098
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
0.098
</td>
<td style="text-align:right;">
0.098
</td>
<td style="text-align:right;">
1.000
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic ~*~ tb_dic
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
1.000
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
1.000
</td>
<td style="text-align:right;">
1.000
</td>
<td style="text-align:right;">
1.000
</td>
</tr>
<tr>
<td style="text-align:left;">
renda_familiar ~1
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
4.504
</td>
<td style="text-align:right;">
0.161
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
4.189
</td>
<td style="text-align:right;">
4.819
</td>
<td style="text-align:right;">
0.759
</td>
</tr>
<tr>
<td style="text-align:left;">
tb_dic ~1
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
0.000
</td>
</tr>
<tr>
<td style="text-align:left;">
paridade ~1
</td>
<td style="text-align:left;">
</td>
<td style="text-align:right;">
0.110
</td>
<td style="text-align:right;">
0.000
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
0.110
</td>
<td style="text-align:right;">
0.110
</td>
<td style="text-align:right;">
0.351
</td>
</tr>
<tr>
<td style="text-align:left;">
indireto := a*b
</td>
<td style="text-align:left;">
indireto
</td>
<td style="text-align:right;">
0.049
</td>
<td style="text-align:right;">
0.020
</td>
<td style="text-align:right;">
0.014
</td>
<td style="text-align:right;">
0.010
</td>
<td style="text-align:right;">
0.088
</td>
<td style="text-align:right;">
0.015
</td>
</tr>
<tr>
<td style="text-align:left;">
direto := c
</td>
<td style="text-align:left;">
direto
</td>
<td style="text-align:right;">
0.236
</td>
<td style="text-align:right;">
0.090
</td>
<td style="text-align:right;">
0.009
</td>
<td style="text-align:right;">
0.060
</td>
<td style="text-align:right;">
0.412
</td>
<td style="text-align:right;">
0.074
</td>
</tr>
<tr>
<td style="text-align:left;">
total := c+(a*b)
</td>
<td style="text-align:left;">
total
</td>
<td style="text-align:right;">
0.285
</td>
<td style="text-align:right;">
0.088
</td>
<td style="text-align:right;">
0.001
</td>
<td style="text-align:right;">
0.112
</td>
<td style="text-align:right;">
0.458
</td>
<td style="text-align:right;">
0.089
</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb34-1"><a href="#cb34-1" aria-hidden="true" tabindex="-1"></a>resumo_mediacao <span class="ot">&lt;-</span> broom<span class="sc">::</span><span class="fu">tidy</span>(med_fit, <span class="at">conf.int =</span> <span class="cn">TRUE</span>) <span class="sc">|&gt;</span> </span>
<span id="cb34-2"><a href="#cb34-2" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="st">&quot;Termo&quot;</span> <span class="ot">=</span> term,</span>
<span id="cb34-3"><a href="#cb34-3" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Rótulo&quot;</span> <span class="ot">=</span> label,</span>
<span id="cb34-4"><a href="#cb34-4" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Beta&quot;</span> <span class="ot">=</span> estimate,</span>
<span id="cb34-5"><a href="#cb34-5" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Erro&quot;</span> <span class="ot">=</span> std.error,</span>
<span id="cb34-6"><a href="#cb34-6" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;p-valor&quot;</span> <span class="ot">=</span> p.value,</span>
<span id="cb34-7"><a href="#cb34-7" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 2.5%&quot;</span> <span class="ot">=</span> conf.low,</span>
<span id="cb34-8"><a href="#cb34-8" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;IC 97.5%&quot;</span> <span class="ot">=</span> conf.high,</span>
<span id="cb34-9"><a href="#cb34-9" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;Beta_std&quot;</span> <span class="ot">=</span> std.all)</span>
<span id="cb34-10"><a href="#cb34-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb34-11"><a href="#cb34-11" aria-hidden="true" tabindex="-1"></a>resumo_mediacao <span class="sc">|&gt;</span> </span>
<span id="cb34-12"><a href="#cb34-12" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">filter</span>(Rótulo <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">&quot;indireto&quot;</span>, <span class="st">&quot;direto&quot;</span>, <span class="st">&quot;total&quot;</span>)) <span class="sc">|&gt;</span> </span>
<span id="cb34-13"><a href="#cb34-13" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(<span class="sc">-</span>Termo) <span class="sc">|&gt;</span> </span>
<span id="cb34-14"><a href="#cb34-14" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="at">B =</span> Beta,</span>
<span id="cb34-15"><a href="#cb34-15" aria-hidden="true" tabindex="-1"></a>                  <span class="st">&quot;SE B&quot;</span> <span class="ot">=</span> Erro,</span>
<span id="cb34-16"><a href="#cb34-16" aria-hidden="true" tabindex="-1"></a>                  <span class="at">pvalue =</span> <span class="st">`</span><span class="at">p-valor</span><span class="st">`</span>,</span>
<span id="cb34-17"><a href="#cb34-17" aria-hidden="true" tabindex="-1"></a>                  <span class="at">beta =</span> Beta_std,</span>
<span id="cb34-18"><a href="#cb34-18" aria-hidden="true" tabindex="-1"></a>                  <span class="at">ic_lower =</span> <span class="st">`</span><span class="at">IC 2.5%</span><span class="st">`</span>,</span>
<span id="cb34-19"><a href="#cb34-19" aria-hidden="true" tabindex="-1"></a>                  <span class="at">ic_upper =</span> <span class="st">`</span><span class="at">IC 97.5%</span><span class="st">`</span></span>
<span id="cb34-20"><a href="#cb34-20" aria-hidden="true" tabindex="-1"></a>                  ) <span class="sc">|&gt;</span> </span>
<span id="cb34-21"><a href="#cb34-21" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">mutate</span>(</span>
<span id="cb34-22"><a href="#cb34-22" aria-hidden="true" tabindex="-1"></a>        dplyr<span class="sc">::</span><span class="fu">across</span>(<span class="fu">c</span>(dplyr<span class="sc">::</span><span class="fu">starts_with</span>(<span class="st">&quot;ic&quot;</span>), pvalue, B, beta, <span class="st">`</span><span class="at">SE B</span><span class="st">`</span>),</span>
<span id="cb34-23"><a href="#cb34-23" aria-hidden="true" tabindex="-1"></a>                      \(x) <span class="fu">as.character</span>(<span class="fu">format</span>(x, <span class="at">digits =</span> <span class="dv">2</span>))),</span>
<span id="cb34-24"><a href="#cb34-24" aria-hidden="true" tabindex="-1"></a>        <span class="at">intervals =</span> stringr<span class="sc">::</span><span class="fu">str_glue</span>(<span class="st">&quot;({ic_lower}-{ic_upper})&quot;</span>),</span>
<span id="cb34-25"><a href="#cb34-25" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb34-26"><a href="#cb34-26" aria-hidden="true" tabindex="-1"></a>    dplyr<span class="sc">::</span><span class="fu">select</span>(</span>
<span id="cb34-27"><a href="#cb34-27" aria-hidden="true" tabindex="-1"></a>        <span class="at">Effect =</span> Rótulo,</span>
<span id="cb34-28"><a href="#cb34-28" aria-hidden="true" tabindex="-1"></a>        B,</span>
<span id="cb34-29"><a href="#cb34-29" aria-hidden="true" tabindex="-1"></a>        intervals,</span>
<span id="cb34-30"><a href="#cb34-30" aria-hidden="true" tabindex="-1"></a>        <span class="st">`</span><span class="at">SE B</span><span class="st">`</span>,</span>
<span id="cb34-31"><a href="#cb34-31" aria-hidden="true" tabindex="-1"></a>        beta,</span>
<span id="cb34-32"><a href="#cb34-32" aria-hidden="true" tabindex="-1"></a>        pvalue</span>
<span id="cb34-33"><a href="#cb34-33" aria-hidden="true" tabindex="-1"></a>    ) <span class="sc">|&gt;</span> </span>
<span id="cb34-34"><a href="#cb34-34" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">flextable</span>() <span class="sc">|&gt;</span> </span>
<span id="cb34-35"><a href="#cb34-35" aria-hidden="true" tabindex="-1"></a>    flextable<span class="sc">::</span><span class="fu">save_as_docx</span>(<span class="at">path =</span> <span class="st">&quot;output/tabela_mediacao.docx&quot;</span>)</span></code></pre></div>
</div>


</div>

<script>

// add bootstrap table styles to pandoc tables
function bootstrapStylePandocTables() {
  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
  bootstrapStylePandocTables();
});


</script>

<!-- tabsets -->

<script>
$(document).ready(function () {
  window.buildTabsets("TOC");
});

$(document).ready(function () {
  $('.tabset-dropdown > .nav-tabs > li').click(function () {
    $(this).parent().toggleClass('nav-tabs-open');
  });
});
</script>

<!-- code folding -->


<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
  (function () {
    var script = document.createElement("script");
    script.type = "text/javascript";
    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
    document.getElementsByTagName("head")[0].appendChild(script);
  })();
</script>

</body>
</html>