code.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />

<title>code</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>


<style type="text/css">
    /*!
*
* Twitter Bootstrap
*
*/
/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
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 {
  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"] {
  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;
  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;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !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('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') 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: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  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: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  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: 500;
  line-height: 1.1;
  color: inherit;
}
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: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
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: 9px;
  margin-bottom: 9px;
}
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: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  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: #fcf8e3;
  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: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
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: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .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 #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  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: 1.42857143;
  color: #777777;
}
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: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
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: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.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: 0px;
  padding-right: 0px;
}
.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: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.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: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.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 #ddd;
}
.table .table {
  background-color: #fff;
}
.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 #ddd;
}
.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 #ddd;
}
.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: #d9edf7;
}
.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: #c4e3f3;
}
.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: #fcf8e3;
}
.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: #faf2cc;
}
.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: #f2dede;
}
.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: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .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: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  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: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -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, 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,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  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: 32px;
  }
  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: 18px;
  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: 31px;
}
.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: 1px;
}
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: 1px;
}
.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: 30px;
  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: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  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: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -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: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.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: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -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: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.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: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -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: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@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: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@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: 0px;
}
@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;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -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: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  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: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.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: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.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: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.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: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.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: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.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: #fff;
  background-color: #398439;
  border-color: #255625;
}
.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: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.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: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.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: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.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: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.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: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.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: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.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: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  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: #23527c;
  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: #777777;
  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: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.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;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-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: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.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: 1.42857143;
  color: #777777;
  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: 541px) {
  .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: 2px;
  border-top-left-radius: 2px;
  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: 2px;
  border-bottom-left-radius: 2px;
}
.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: 1px;
}
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 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.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: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  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: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  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: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 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: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.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: #fff;
  background-color: #337ab7;
}
.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: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.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: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  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: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    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: 540px) 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: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .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: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .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: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.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: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    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: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  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: -1px;
  margin-bottom: -1px;
}
@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: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .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: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    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: #555;
    background-color: #e7e7e7;
  }
  .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: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.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: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    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: #fff;
    background-color: #080808;
  }
  .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: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.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: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.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: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  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: #777777;
  background-color: #fff;
  border-color: #ddd;
  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: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 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: #fff;
  border: 1px solid #ddd;
  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: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  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: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.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: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.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: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s 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: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.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: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-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: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -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: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -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);
  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: #5cb85c;
}
.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: #5bc0de;
}
.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: #f0ad4e;
}
.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: #d9534f;
}
.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: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  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: #777777;
  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: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.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: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
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: #3c763d;
  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: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
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: #31708f;
  background-color: #c4e3f3;
}
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: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
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: #8a6d3b;
  background-color: #faf2cc;
}
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: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
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: #a94442;
  background-color: #ebcccc;
}
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: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -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: 1px;
  border-top-left-radius: 1px;
}
.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 #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.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: 1px;
  border-top-left-radius: 1px;
}
.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: 1px;
  border-bottom-left-radius: 1px;
}
.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: 1px;
  border-top-left-radius: 1px;
}
.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: 1px;
  border-top-right-radius: 1px;
}
.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: 1px;
}
.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: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.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: 1px;
  border-bottom-right-radius: 1px;
}
.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: 1px;
}
.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: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.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: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.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 #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.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: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -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: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  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 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s 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: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  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);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.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 #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.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: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  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: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.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: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  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: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  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: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s 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 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-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: #fff;
  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: 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: 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: #fff;
  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 #fff;
  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: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  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,
.item_buttons:before,
.item_buttons: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,
.item_buttons: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;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  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;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
.modal-header {
  cursor: move;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: text-bottom;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -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, 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;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -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, 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;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

.ansi-bold { font-weight: bold; }

    </style>


<style type="text/css">
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<h1 id="Portuguese-Bank-Marketing---Machine-Learning-Project-CS-542">Portuguese Bank Marketing - Machine Learning Project CS 542<a class="anchor-link" href="#Portuguese-Bank-Marketing---Machine-Learning-Project-CS-542">&#182;</a></h1>
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<p>The data is associated with the direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe to a term deposit. The outcome of this classification can enable marketing teams to more accurately predict customer bases and therefore cut down on costs.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">####################################################################################################################</span>
<span class="c1">#Importing relevant packages</span>

<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">scipy.stats</span> <span class="k">as</span> <span class="nn">stats</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">sklearn.linear_model</span> <span class="k">as</span> <span class="nn">linear</span>
<span class="kn">import</span> <span class="nn">random</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="s2">&quot;darkgrid&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;ggplot&#39;</span><span class="p">)</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">ShuffleSplit</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn</span> <span class="k">import</span> <span class="n">metrics</span> <span class="k">as</span> <span class="n">mt</span>
<span class="kn">import</span> <span class="nn">datetime</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">LogisticRegression</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">OneHotEncoder</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">roc_curve</span><span class="p">,</span> <span class="n">auc</span>
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<h1 id="Loading-the-Dataset">Loading the Dataset<a class="anchor-link" href="#Loading-the-Dataset">&#182;</a></h1>
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<p>The dataset comprizes of 21 features and 41,188 rows, including both categorical and numerical types.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span> <span class="s2">&quot;bank-additional-full.csv&quot;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s2">&quot;;&quot;</span><span class="p">)</span>
<span class="n">dataframe</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        vertical-align: top;
    }

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    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>job</th>
      <th>marital</th>
      <th>education</th>
      <th>default</th>
      <th>housing</th>
      <th>loan</th>
      <th>contact</th>
      <th>month</th>
      <th>day_of_week</th>
      <th>...</th>
      <th>campaign</th>
      <th>pdays</th>
      <th>previous</th>
      <th>poutcome</th>
      <th>emp.var.rate</th>
      <th>cons.price.idx</th>
      <th>cons.conf.idx</th>
      <th>euribor3m</th>
      <th>nr.employed</th>
      <th>y</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>56</td>
      <td>housemaid</td>
      <td>married</td>
      <td>basic.4y</td>
      <td>no</td>
      <td>no</td>
      <td>no</td>
      <td>telephone</td>
      <td>may</td>
      <td>mon</td>
      <td>...</td>
      <td>1</td>
      <td>999</td>
      <td>0</td>
      <td>nonexistent</td>
      <td>1.1</td>
      <td>93.994</td>
      <td>-36.4</td>
      <td>4.857</td>
      <td>5191.0</td>
      <td>no</td>
    </tr>
    <tr>
      <th>1</th>
      <td>57</td>
      <td>services</td>
      <td>married</td>
      <td>high.school</td>
      <td>unknown</td>
      <td>no</td>
      <td>no</td>
      <td>telephone</td>
      <td>may</td>
      <td>mon</td>
      <td>...</td>
      <td>1</td>
      <td>999</td>
      <td>0</td>
      <td>nonexistent</td>
      <td>1.1</td>
      <td>93.994</td>
      <td>-36.4</td>
      <td>4.857</td>
      <td>5191.0</td>
      <td>no</td>
    </tr>
    <tr>
      <th>2</th>
      <td>37</td>
      <td>services</td>
      <td>married</td>
      <td>high.school</td>
      <td>no</td>
      <td>yes</td>
      <td>no</td>
      <td>telephone</td>
      <td>may</td>
      <td>mon</td>
      <td>...</td>
      <td>1</td>
      <td>999</td>
      <td>0</td>
      <td>nonexistent</td>
      <td>1.1</td>
      <td>93.994</td>
      <td>-36.4</td>
      <td>4.857</td>
      <td>5191.0</td>
      <td>no</td>
    </tr>
    <tr>
      <th>3</th>
      <td>40</td>
      <td>admin.</td>
      <td>married</td>
      <td>basic.6y</td>
      <td>no</td>
      <td>no</td>
      <td>no</td>
      <td>telephone</td>
      <td>may</td>
      <td>mon</td>
      <td>...</td>
      <td>1</td>
      <td>999</td>
      <td>0</td>
      <td>nonexistent</td>
      <td>1.1</td>
      <td>93.994</td>
      <td>-36.4</td>
      <td>4.857</td>
      <td>5191.0</td>
      <td>no</td>
    </tr>
    <tr>
      <th>4</th>
      <td>56</td>
      <td>services</td>
      <td>married</td>
      <td>high.school</td>
      <td>no</td>
      <td>no</td>
      <td>yes</td>
      <td>telephone</td>
      <td>may</td>
      <td>mon</td>
      <td>...</td>
      <td>1</td>
      <td>999</td>
      <td>0</td>
      <td>nonexistent</td>
      <td>1.1</td>
      <td>93.994</td>
      <td>-36.4</td>
      <td>4.857</td>
      <td>5191.0</td>
      <td>no</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 21 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>duration</th>
      <th>campaign</th>
      <th>pdays</th>
      <th>previous</th>
      <th>emp.var.rate</th>
      <th>cons.price.idx</th>
      <th>cons.conf.idx</th>
      <th>euribor3m</th>
      <th>nr.employed</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>41188.00000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
      <td>41188.000000</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>40.02406</td>
      <td>258.285010</td>
      <td>2.567593</td>
      <td>962.475454</td>
      <td>0.172963</td>
      <td>0.081886</td>
      <td>93.575664</td>
      <td>-40.502600</td>
      <td>3.621291</td>
      <td>5167.035911</td>
    </tr>
    <tr>
      <th>std</th>
      <td>10.42125</td>
      <td>259.279249</td>
      <td>2.770014</td>
      <td>186.910907</td>
      <td>0.494901</td>
      <td>1.570960</td>
      <td>0.578840</td>
      <td>4.628198</td>
      <td>1.734447</td>
      <td>72.251528</td>
    </tr>
    <tr>
      <th>min</th>
      <td>17.00000</td>
      <td>0.000000</td>
      <td>1.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>-3.400000</td>
      <td>92.201000</td>
      <td>-50.800000</td>
      <td>0.634000</td>
      <td>4963.600000</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>32.00000</td>
      <td>102.000000</td>
      <td>1.000000</td>
      <td>999.000000</td>
      <td>0.000000</td>
      <td>-1.800000</td>
      <td>93.075000</td>
      <td>-42.700000</td>
      <td>1.344000</td>
      <td>5099.100000</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>38.00000</td>
      <td>180.000000</td>
      <td>2.000000</td>
      <td>999.000000</td>
      <td>0.000000</td>
      <td>1.100000</td>
      <td>93.749000</td>
      <td>-41.800000</td>
      <td>4.857000</td>
      <td>5191.000000</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>47.00000</td>
      <td>319.000000</td>
      <td>3.000000</td>
      <td>999.000000</td>
      <td>0.000000</td>
      <td>1.400000</td>
      <td>93.994000</td>
      <td>-36.400000</td>
      <td>4.961000</td>
      <td>5228.100000</td>
    </tr>
    <tr>
      <th>max</th>
      <td>98.00000</td>
      <td>4918.000000</td>
      <td>56.000000</td>
      <td>999.000000</td>
      <td>7.000000</td>
      <td>1.400000</td>
      <td>94.767000</td>
      <td>-26.900000</td>
      <td>5.045000</td>
      <td>5228.100000</td>
    </tr>
  </tbody>
</table>
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<h1 id="Data-Cleaning-and-Exploration">Data Cleaning and Exploration<a class="anchor-link" href="#Data-Cleaning-and-Exploration">&#182;</a></h1>
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<p>The data itself needs very little cleaning. It has no null or NaN values. However, other features need to be adjusted. The feature 'pdays' indicates time elasped from the last contact attempt. If no contact was priorly made, we assigned 'pdays' value of 0 instead of 999</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>age               0
job               0
marital           0
education         0
default           0
housing           0
loan              0
contact           0
month             0
day_of_week       0
duration          0
campaign          0
pdays             0
previous          0
poutcome          0
emp.var.rate      0
cons.price.idx    0
cons.conf.idx     0
euribor3m         0
nr.employed       0
y                 0
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;pdays&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="mi">999</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">## data exploration-value counting each feature to perform feature selection</span>
<span class="n">object_list</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">number_list</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">def</span> <span class="nf">examine_data_frame</span><span class="p">(</span> <span class="n">df</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
        <span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;----------&quot;</span><span class="p">)</span>
        <span class="nb">print</span> <span class="p">(</span><span class="n">df</span><span class="p">[</span> <span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
        <span class="k">if</span> <span class="n">df</span><span class="p">[</span> <span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span> <span class="ow">is</span> <span class="n">np</span><span class="o">.</span><span class="n">dtype</span><span class="p">(</span> <span class="s1">&#39;O&#39;</span><span class="p">):</span>
            <span class="nb">print</span> <span class="p">(</span><span class="n">df</span><span class="p">[</span> <span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">())</span>
            <span class="nb">print</span> <span class="p">(</span><span class="s2">&quot;Name: &quot;</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="nb">print</span> <span class="p">(</span><span class="n">df</span><span class="p">[</span> <span class="n">name</span><span class="p">]</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>

<span class="n">examine_data_frame</span><span class="p">(</span><span class="n">dataframe</span><span class="p">)</span>
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<pre>----------
int64
count    41188.00000
mean        40.02406
std         10.42125
min         17.00000
25%         32.00000
50%         38.00000
75%         47.00000
max         98.00000
Name: age, dtype: float64
----------
object
admin.           10422
blue-collar       9254
technician        6743
services          3969
management        2924
retired           1720
entrepreneur      1456
self-employed     1421
housemaid         1060
unemployed        1014
student            875
unknown            330
Name: job, dtype: int64
Name:  job
----------
object
married     24928
single      11568
divorced     4612
unknown        80
Name: marital, dtype: int64
Name:  marital
----------
object
university.degree      12168
high.school             9515
basic.9y                6045
professional.course     5243
basic.4y                4176
basic.6y                2292
unknown                 1731
illiterate                18
Name: education, dtype: int64
Name:  education
----------
object
no         32588
unknown     8597
yes            3
Name: default, dtype: int64
Name:  default
----------
object
yes        21576
no         18622
unknown      990
Name: housing, dtype: int64
Name:  housing
----------
object
no         33950
yes         6248
unknown      990
Name: loan, dtype: int64
Name:  loan
----------
object
cellular     26144
telephone    15044
Name: contact, dtype: int64
Name:  contact
----------
object
may    13769
jul     7174
aug     6178
jun     5318
nov     4101
apr     2632
oct      718
sep      570
mar      546
dec      182
Name: month, dtype: int64
Name:  month
----------
object
thu    8623
mon    8514
wed    8134
tue    8090
fri    7827
Name: day_of_week, dtype: int64
Name:  day_of_week
----------
int64
count    41188.000000
mean       258.285010
std        259.279249
min          0.000000
25%        102.000000
50%        180.000000
75%        319.000000
max       4918.000000
Name: duration, dtype: float64
----------
int64
count    41188.000000
mean         2.567593
std          2.770014
min          1.000000
25%          1.000000
50%          2.000000
75%          3.000000
max         56.000000
Name: campaign, dtype: float64
----------
int64
count    41188.000000
mean         0.221229
std          1.348874
min          0.000000
25%          0.000000
50%          0.000000
75%          0.000000
max         27.000000
Name: pdays, dtype: float64
----------
int64
count    41188.000000
mean         0.172963
std          0.494901
min          0.000000
25%          0.000000
50%          0.000000
75%          0.000000
max          7.000000
Name: previous, dtype: float64
----------
object
nonexistent    35563
failure         4252
success         1373
Name: poutcome, dtype: int64
Name:  poutcome
----------
float64
count    41188.000000
mean         0.081886
std          1.570960
min         -3.400000
25%         -1.800000
50%          1.100000
75%          1.400000
max          1.400000
Name: emp.var.rate, dtype: float64
----------
float64
count    41188.000000
mean        93.575664
std          0.578840
min         92.201000
25%         93.075000
50%         93.749000
75%         93.994000
max         94.767000
Name: cons.price.idx, dtype: float64
----------
float64
count    41188.000000
mean       -40.502600
std          4.628198
min        -50.800000
25%        -42.700000
50%        -41.800000
75%        -36.400000
max        -26.900000
Name: cons.conf.idx, dtype: float64
----------
float64
count    41188.000000
mean         3.621291
std          1.734447
min          0.634000
25%          1.344000
50%          4.857000
75%          4.961000
max          5.045000
Name: euribor3m, dtype: float64
----------
float64
count    41188.000000
mean      5167.035911
std         72.251528
min       4963.600000
25%       5099.100000
50%       5191.000000
75%       5228.100000
max       5228.100000
Name: nr.employed, dtype: float64
----------
object
no     36548
yes     4640
Name: y, dtype: int64
Name:  y
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<p>The feature 'education' comprises of 8 categories, including; 'basic.9y', 'basic.6y' and 'basic.9y'. In order to reduce the number of eventual features and the dimensionality of our model, we combine these into a single category; 'basic'.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="o">.</span><span class="n">replace</span><span class="p">([</span><span class="s1">&#39;basic.6y&#39;</span><span class="p">,</span><span class="s1">&#39;basic.4y&#39;</span><span class="p">,</span> <span class="s1">&#39;basic.9y&#39;</span><span class="p">],</span> <span class="s1">&#39;basic&#39;</span><span class="p">,</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
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<h2 id="Feature-Selection">Feature Selection<a class="anchor-link" href="#Feature-Selection">&#182;</a></h2>
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<p>Exploring the data suggests that we drop some features.The feature 'default' which indicates whether or not the individual has credit in default. Since there were only three individuals that had defaulted, we remove those observations from the dataset. 'Duration' is also dropped as it is only included in the dataset as a benchmark variable. Furthermore, one only knows the 'duration' of the telemarketing call after the fact so it is not a relevant variable.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">##feature selection</span>
<span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span> 
<span class="n">dataframe</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;duration&#39;</span><span class="p">],</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;default&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
<span class="n">dataframe</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;default&#39;</span><span class="p">],</span> <span class="n">inplace</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<h1 id="Data-Visualization">Data Visualization<a class="anchor-link" href="#Data-Visualization">&#182;</a></h1>
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<p>This section picks features that we hypothesize to be important for the model. We pick these features intuitively and observe their distribution across the data through visualizations.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">frequencies</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">crosstab</span><span class="p">(</span><span class="n">dataframe</span><span class="p">[</span><span class="s2">&quot;marital&quot;</span><span class="p">],</span> <span class="n">dataframe</span><span class="p">[</span> <span class="s2">&quot;y&quot;</span><span class="p">])</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">r</span><span class="p">:</span> <span class="n">r</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataframe</span><span class="p">))</span>
<span class="nb">print</span> <span class="p">(</span><span class="n">frequencies</span><span class="p">)</span>

<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span> <span class="n">frequencies</span><span class="p">,</span><span class="n">cmap</span> <span class="o">=</span> <span class="s1">&#39;viridis&#39;</span><span class="p">)</span>
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<pre>y               no       yes
marital                     
divorced  0.100418  0.011557
married   0.543751  0.061474
single    0.241527  0.039332
unknown   0.001651  0.000291
</pre>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1a1b35f198&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[43]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Distribution of Age&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Age&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Frequency&quot;</span><span class="p">)</span>
</pre></div>

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    <div class="prompt output_prompt">Out[43]:</div>


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<pre>Text(0, 0.5, &#39;Frequency&#39;)</pre>
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<div class="prompt input_prompt">In&nbsp;[44]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;cons.conf.idx&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Distribution of Consumer Confidence&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Consumer Confidence Index&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Frequency&quot;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Frequency&#39;)</pre>
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<div class="prompt input_prompt">In&nbsp;[45]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;euribor3m&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">hist</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Distribution of 3-month Euribor Rate&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Euribor rate&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Frequency&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[45]:</div>


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<pre>Text(0, 0.5, &#39;Frequency&#39;)</pre>
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<h1 id="Feature-Engineering-and-Final-Data-Cleaning">Feature Engineering and Final Data Cleaning<a class="anchor-link" href="#Feature-Engineering-and-Final-Data-Cleaning">&#182;</a></h1>
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<p>We then engineer new features by conducting a 'One-hot encoding' on all the categorical features in our dataset to convert them to numerical values. Furthermore, we normalize the data and this is the final step in cleaning our features.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">StandardScaler</span>

<span class="n">numbers</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">,</span>
 <span class="s1">&#39;campaign&#39;</span><span class="p">,</span>
 <span class="s1">&#39;pdays&#39;</span><span class="p">,</span>
 <span class="s1">&#39;previous&#39;</span><span class="p">,</span>
 <span class="s1">&#39;emp.var.rate&#39;</span><span class="p">,</span>
 <span class="s1">&#39;cons.price.idx&#39;</span><span class="p">,</span>
 <span class="s1">&#39;cons.conf.idx&#39;</span><span class="p">,</span>
 <span class="s1">&#39;euribor3m&#39;</span><span class="p">,</span><span class="s1">&#39;nr.employed&#39;</span><span class="p">]</span>

<span class="n">obj_ss</span> <span class="o">=</span> <span class="n">StandardScaler</span><span class="p">()</span>
<span class="n">vals</span> <span class="o">=</span> <span class="n">obj_ss</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">dataframe</span><span class="p">[</span><span class="n">numbers</span><span class="p">])</span>
<span class="n">dataframe</span><span class="p">[</span><span class="n">numbers</span><span class="p">]</span> <span class="o">=</span> <span class="n">vals</span>
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<pre>/anaconda3/lib/python3.7/site-packages/sklearn/preprocessing/data.py:645: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by StandardScaler.
  return self.partial_fit(X, y)
/anaconda3/lib/python3.7/site-packages/sklearn/base.py:464: DataConversionWarning: Data with input dtype int64, float64 were all converted to float64 by StandardScaler.
  return self.fit(X, **fit_params).transform(X)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dfo</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">dataframe</span><span class="p">[</span><span class="n">dataframe</span><span class="o">.</span><span class="n">columns</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]])</span>
<span class="n">dfo</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dataframe</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span>
<span class="n">dfo</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dfo</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="mi">1</span> <span class="k">if</span> <span class="n">x</span> <span class="o">==</span><span class="s1">&#39;yes&#39;</span> <span class="k">else</span> <span class="mi">0</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dfo</span><span class="o">.</span><span class="n">shape</span>
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<pre>(41188, 58)</pre>
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<p>Seperating the Data into Training and Testing Sets</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span> <span class="o">=</span> <span class="n">dfo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">dfo</span><span class="p">[</span><span class="n">dfo</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">&gt;&gt;&gt;</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span>
<span class="o">...</span>     <span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.33</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
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<p>Conducting PCA analysis to aid with feature selection</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.decomposition</span> <span class="k">import</span> <span class="n">PCA</span>

<span class="n">pca</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">(</span><span class="n">n_components</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">two_components</span> <span class="o">=</span> <span class="n">pca</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="n">df_pca</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">two_components</span>
             <span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;principal component 1&#39;</span><span class="p">,</span> <span class="s1">&#39;principal component 2&#39;</span><span class="p">])</span>
<span class="n">df_pca</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dfo</span><span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set_palette</span><span class="p">(</span><span class="s1">&#39;Set1&#39;</span><span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">12</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">lmplot</span><span class="p">(</span> <span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;principal component 1&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s1">&#39;principal component 2&#39;</span><span class="p">,</span> <span class="n">hue</span> <span class="o">=</span> <span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">df_pca</span><span class="p">,</span> <span class="n">fit_reg</span><span class="o">=</span> <span class="kc">False</span> <span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
<span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;PCA.png&#39;</span><span class="p">,</span><span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span> <span class="p">)</span>
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<pre>&lt;Figure size 720x864 with 0 Axes&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">sklearn.decomposition</span> <span class="k">import</span> <span class="n">PCA</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">scale</span>
<span class="o">%</span><span class="k">matplotlib</span> inline


<span class="n">pca</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">(</span><span class="n">n_components</span><span class="o">=</span><span class="mi">57</span><span class="p">)</span>

<span class="n">pca</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">dfo</span><span class="p">)</span>

<span class="c1">#The amount of variance that each PC explains</span>
<span class="n">var</span><span class="o">=</span> <span class="n">pca</span><span class="o">.</span><span class="n">explained_variance_ratio_</span>

<span class="c1">#Cumulative Variance explains</span>
    
<span class="n">var1</span> <span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">explained_variance_ratio_</span><span class="p">,</span> <span class="n">decimals</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span><span class="o">*</span><span class="mi">100</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">var1</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">var1</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;PCA Analysis&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;PC component&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Cumulative Variation Explained&quot;</span><span class="p">)</span>
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<pre>[ 28.29  37.87  46.    52.98  59.4   64.27  68.05  71.38  74.39  76.52
  78.48  80.36  82.18  83.86  85.31  86.71  88.08  89.43  90.67  91.66
  92.58  93.42  94.07  94.7   95.25  95.78  96.26  96.73  97.18  97.53
  97.86  98.19  98.47  98.71  98.94  99.13  99.3   99.43  99.55  99.66
  99.77  99.86  99.92  99.95  99.97  99.99 100.   100.   100.   100.
 100.   100.   100.   100.   100.   100.   100.  ]
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<pre>Text(0, 0.5, &#39;Cumulative Variation Explained&#39;)</pre>
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<h1 id="Defining-the-Models">Defining the Models<a class="anchor-link" href="#Defining-the-Models">&#182;</a></h1>
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<div class="prompt input_prompt">In&nbsp;[53]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># computational libraries</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>

<span class="kn">import</span> <span class="nn">pickle</span>

<span class="c1">#Visualization Metrics</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span> 
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">validation_curve</span><span class="p">,</span> <span class="n">learning_curve</span>

<span class="c1">#Classification Algorithms</span>
<span class="kn">from</span> <span class="nn">sklearn.svm</span> <span class="k">import</span> <span class="n">SVC</span>
<span class="kn">from</span> <span class="nn">sklearn.naive_bayes</span> <span class="k">import</span> <span class="n">GaussianNB</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">DecisionTreeClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.neighbors</span> <span class="k">import</span> <span class="n">KNeighborsClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">LogisticRegression</span>
<span class="kn">import</span> <span class="nn">sklearn</span>

<span class="c1">#Metrics</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">accuracy_score</span><span class="p">,</span> <span class="n">fbeta_score</span><span class="p">,</span> <span class="n">classification_report</span><span class="p">,</span> <span class="n">make_scorer</span><span class="p">,</span> <span class="n">f1_score</span>


<span class="kn">from</span> <span class="nn">time</span> <span class="k">import</span> <span class="n">time</span>


<span class="c1">#Pipeline to run and test multiple ML algorithms</span>
<span class="k">def</span> <span class="nf">train_predict</span><span class="p">(</span><span class="n">learner</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">):</span> 
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    inputs:</span>
<span class="sd">       - learner: the learning algorithm to be trained and predicted on</span>
<span class="sd">       - X_train: features training set</span>
<span class="sd">       - y_train: income training set</span>
<span class="sd">       - X_test: features testing set</span>
<span class="sd">       - y_test: income testing set</span>
<span class="sd">       </span>
<span class="sd">       outputs: dict[&#39;train_time&#39;, &#39;pred_time&#39;, &#39;acc_test&#39;, &#39;f_test&#39;]</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
    
    <span class="c1"># Fit the learner to the training data using slicing with &#39;sample_size&#39;</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get start time</span>
    <span class="n">learner</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get end time</span>
    
    <span class="c1"># Calculate the training time</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;train_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
        
    <span class="c1"># Get the predictions on the test set,  </span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get start time</span>
    <span class="n">predictions</span> <span class="o">=</span> <span class="n">learner</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># Get end time</span>
    
    <span class="c1">#Classification Report</span>
    
    <span class="c1"># Calculate the total prediction time</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;pred_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
        
    <span class="c1"># Compute accuracy on test set</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;acc_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">)</span>
    
    <span class="c1"># Compute F-score on the test set. We use previous beta</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;f_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">f1_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
    <span class="n">pos_label</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
    <span class="n">average</span><span class="o">=</span><span class="s1">&#39;weighted&#39;</span><span class="p">,</span>
    <span class="n">sample_weight</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>

<span class="p">)</span>
    
    <span class="n">report</span> <span class="o">=</span> <span class="n">classification_report</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span><span class="n">predictions</span><span class="p">)</span>
       
        
    <span class="c1"># Return the results</span>
    <span class="k">return</span> <span class="n">results</span><span class="p">,</span> <span class="n">report</span>

<span class="k">def</span> <span class="nf">complexity_curve</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">hyperparameter</span><span class="p">,</span> <span class="n">param_range</span><span class="p">):</span>
    
    <span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">fbeta_score</span><span class="p">,</span> <span class="n">make_scorer</span>
    
    <span class="c1">#score = make_scorer(fbeta_score(y_train,2))</span>
    
    
    <span class="sd">&#39;&#39;&#39;Plot the complexity and learning curves for the model selected&#39;&#39;&#39;</span>

    
    <span class="n">train_scores</span><span class="p">,</span> <span class="n">test_scores</span> <span class="o">=</span> <span class="n">validation_curve</span><span class="p">(</span> <span class="n">model</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> 
                                                 <span class="n">param_name</span><span class="o">=</span><span class="n">hyperparameter</span><span class="p">,</span> <span class="n">param_range</span><span class="o">=</span><span class="n">param_range</span><span class="p">,</span>
                                                 <span class="n">cv</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span> <span class="s1">&#39;accuracy&#39;</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    
    <span class="c1"># Calculate mean and standard deviation for training set scores</span>
    <span class="n">train_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">train_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">train_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">train_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

    <span class="c1"># Calculate mean and standard deviation for test set scores</span>
    <span class="n">test_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">test_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">test_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">test_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

   
    <span class="c1">#fig = plt.figure(figsize=(10,12))</span>
    <span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>
    <span class="c1"># Plot mean accuracy scores for training and test sets</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">param_range</span><span class="p">,</span> <span class="n">train_mean</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Training score&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">param_range</span><span class="p">,</span> <span class="n">test_mean</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Cross-validation score&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;g&quot;</span><span class="p">)</span>

    <span class="c1"># Plot accurancy bands for training and test sets</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">param_range</span><span class="p">,</span> <span class="n">train_mean</span> <span class="o">-</span> <span class="n">train_std</span><span class="p">,</span> <span class="n">train_mean</span> <span class="o">+</span> <span class="n">train_std</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;lightcoral&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">param_range</span><span class="p">,</span> <span class="n">test_mean</span> <span class="o">-</span> <span class="n">test_std</span><span class="p">,</span> <span class="n">test_mean</span> <span class="o">+</span> <span class="n">test_std</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;lightgreen&quot;</span><span class="p">)</span>

    <span class="c1"># Create plot</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Validation Curve&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="n">hyperparameter</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Accuracy Score&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;best&quot;</span><span class="p">)</span>
   

    <span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
    <span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;complexity.png&#39;</span><span class="p">,</span><span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span><span class="p">)</span>
    
    <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    
<span class="k">def</span> <span class="nf">learning_curve_</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>


    <span class="n">train_sizes</span><span class="p">,</span> <span class="n">train_scores</span><span class="p">,</span> <span class="n">test_scores</span> <span class="o">=</span> <span class="n">learning_curve</span><span class="p">(</span><span class="n">model</span><span class="p">,</span>
                                                            <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span><span class="n">cv</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s1">&#39;f1_score&#39;</span><span class="p">,</span>
                                                            <span class="n">n_jobs</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># Number of folds in cross-validation</span>
<span class="c1"># Evaluation metric</span>
<span class="c1"># Use all computer cores</span>

<span class="c1"># 50 different sizes of the training set</span>


    <span class="c1"># Create means and standard deviations of training set scores</span>
    <span class="n">train_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">train_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">train_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">train_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

    <span class="c1"># Create means and standard deviations of test set scores</span>
    <span class="n">test_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">test_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">test_std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">test_scores</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    
    <span class="c1">#fig = plt.figure(figsize=(10,12))</span>
    <span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>

    <span class="c1"># Draw lines</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">train_sizes</span><span class="p">,</span> <span class="n">train_mean</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;red&quot;</span><span class="p">,</span>  <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Training score&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">train_sizes</span><span class="p">,</span> <span class="n">test_mean</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;g&quot;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">&quot;Cross-validation score&quot;</span><span class="p">)</span>

    <span class="c1"># Draw bands</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">train_sizes</span><span class="p">,</span> <span class="n">train_mean</span> <span class="o">-</span> <span class="n">train_std</span><span class="p">,</span> <span class="n">train_mean</span> <span class="o">+</span> <span class="n">train_std</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;lightcoral&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">fill_between</span><span class="p">(</span><span class="n">train_sizes</span><span class="p">,</span> <span class="n">test_mean</span> <span class="o">-</span> <span class="n">test_std</span><span class="p">,</span> <span class="n">test_mean</span> <span class="o">+</span> <span class="n">test_std</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;lightgreen&quot;</span><span class="p">)</span>

    <span class="c1"># Create plot</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Learning Curve&quot;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Training Set Size&quot;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Accuracy Score&quot;</span><span class="p">),</span> <span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s2">&quot;best&quot;</span><span class="p">)</span>
    
    
    <span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
    <span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;learning_curve.png&#39;</span><span class="p">,</span><span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span> <span class="p">)</span>
    
    <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    
    
    <span class="c1">################################</span>
    

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model_svm</span> <span class="o">=</span> <span class="n">SVC</span><span class="p">()</span>
<span class="n">model_NB</span> <span class="o">=</span> <span class="n">GaussianNB</span><span class="p">()</span>
<span class="n">model_KNN</span> <span class="o">=</span> <span class="n">KNeighborsClassifier</span><span class="p">(</span><span class="n">n_neighbors</span><span class="o">=</span> <span class="mi">7</span><span class="p">)</span>
<span class="n">model_DT</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span> <span class="n">criterion</span><span class="o">=</span><span class="s1">&#39;entropy&#39;</span><span class="p">,</span> <span class="n">max_depth</span><span class="o">=</span> <span class="mi">3</span><span class="p">)</span>
<span class="n">model_LR</span> <span class="o">=</span> <span class="n">LogisticRegression</span><span class="p">()</span>

<span class="n">results_svm</span><span class="p">,</span> <span class="n">report_svm</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">model_svm</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>


<span class="n">results_NB</span><span class="p">,</span> <span class="n">report_NB</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">model_NB</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
<span class="n">results_KNN</span><span class="p">,</span> <span class="n">report_KNN</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">model_KNN</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
<span class="n">results_DT</span><span class="p">,</span> <span class="n">report_DT</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">model_DT</span><span class="p">,</span>  <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
<span class="n">results_LR</span><span class="p">,</span> <span class="n">report_LR</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">model_LR</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span> 

<span class="n">results_svm</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">results_svm</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
<span class="n">results_NB</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">results_NB</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
<span class="n">results_KNN</span> <span class="o">=</span>  <span class="nb">list</span><span class="p">(</span><span class="n">results_KNN</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
<span class="n">results_DT</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">results_DT</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
<span class="n">results_LR</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">results_LR</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>

<span class="n">results</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">((</span><span class="n">results_svm</span><span class="p">,</span><span class="n">results_NB</span><span class="p">,</span><span class="n">results_KNN</span><span class="p">,</span><span class="n">results_DT</span><span class="p">,</span> <span class="n">results_LR</span><span class="p">))</span>
<span class="n">df_results</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results</span><span class="p">,</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;train_time&#39;</span><span class="p">,</span> <span class="s1">&#39;pred_time&#39;</span><span class="p">,</span> <span class="s1">&#39;acc_test&#39;</span><span class="p">,</span> <span class="s1">&#39;f_test&#39;</span><span class="p">],</span> 
                          <span class="n">index</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;SVM&#39;</span><span class="p">,</span> <span class="s1">&#39;NB&#39;</span><span class="p">,</span> <span class="s1">&#39;KNN&#39;</span><span class="p">,</span><span class="s1">&#39;DT&#39;</span><span class="p">,</span><span class="s1">&#39;LR&#39;</span><span class="p">])</span>

<span class="n">df_results_table</span> <span class="o">=</span> <span class="n">df_results</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
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<pre>/anaconda3/lib/python3.7/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from &#39;auto&#39; to &#39;scale&#39; in version 0.22 to account better for unscaled features. Set gamma explicitly to &#39;auto&#39; or &#39;scale&#39; to avoid this warning.
  &#34;avoid this warning.&#34;, FutureWarning)
/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to &#39;lbfgs&#39; in 0.22. Specify a solver to silence this warning.
  FutureWarning)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_results</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>train_time</th>
      <th>pred_time</th>
      <th>acc_test</th>
      <th>f_test</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>SVM</th>
      <td>48.658404</td>
      <td>5.894701</td>
      <td>0.898624</td>
      <td>0.872053</td>
    </tr>
    <tr>
      <th>NB</th>
      <td>0.032901</td>
      <td>0.010633</td>
      <td>0.860001</td>
      <td>0.864083</td>
    </tr>
    <tr>
      <th>KNN</th>
      <td>0.850838</td>
      <td>16.653610</td>
      <td>0.891268</td>
      <td>0.874722</td>
    </tr>
    <tr>
      <th>DT</th>
      <td>0.042940</td>
      <td>0.003909</td>
      <td>0.898624</td>
      <td>0.872131</td>
    </tr>
    <tr>
      <th>LR</th>
      <td>0.207541</td>
      <td>0.004527</td>
      <td>0.899213</td>
      <td>0.875101</td>
    </tr>
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<p>Computing Accuracies and Visualizing the Testing time</p>

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<div class="prompt input_prompt">In&nbsp;[56]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Accuracy</span>

<span class="n">objects</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;SVM&#39;</span><span class="p">,</span> <span class="s1">&#39;NB&#39;</span><span class="p">,</span> <span class="s1">&#39;KNN&#39;</span><span class="p">,</span><span class="s1">&#39;DT&#39;</span><span class="p">,</span> <span class="s1">&#39;LR&#39;</span><span class="p">)</span>
<span class="n">y_pos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">objects</span><span class="p">))</span>
<span class="n">performance</span> <span class="o">=</span> <span class="n">df_results</span><span class="p">[</span><span class="s1">&#39;acc_test&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="c1">#fig = plt.figure(figsize=(10,12)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">performance</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="s1">&#39;cyan&#39;</span><span class="p">,</span> <span class="s1">&#39;yellow&#39;</span><span class="p">],</span> 
        <span class="n">alpha</span><span class="o">=</span> <span class="mf">0.7</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">objects</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Accuracy&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Model Accuracy&#39;</span><span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
<span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;accuracy.png&#39;</span><span class="p">,</span><span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span> <span class="p">)</span>
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4aAqemJiDgIOJEqeH6ru7IrExObmJr6te9UmtXk5FY2b5nspcuujI22Gu9ncnIrGzfe3/U6WzY3W9foWKvxPqD78U9ObmVLH/b96Gir8X7m877vdeybG65rbKzVeB/Q2/gBhoeHenqD3eljxu8ExoC/BM4Ari4vDsBdbH8tYymwvm36uXX7zcBVwPKIuKHDeiRJfVI8ooiIAP4CeBFwB7AHsCIzf9bBtq8BzomIxcADVEcPq6cbM/MNwBvqflYA12fmkd0PQZLUpIc9ooiI/wd8DngIOCozDwLu7zAkyMy7gbOB64BbgHWZeVNEXBURh+586ZKkfigdUTwF+ArwTarrErD9NYdZ1Xdwr5sx77gdLHcHsKKbbUuS+qN0jWJfqkeMPx/YEBEfozr1JEmaRx42KDJzMjMvz8yjgUOoPt76G/Vd1mv6VqEkaZfq6FNPmXlrZp4O7AP8PW0XpSVJu7eu7gzJzF8A/1T/J0maBzq9j0KSNE8ZFJKkIoNCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVtZrceESsAl4HLADOz8wLZ7Q/G3gjMAT8AHhpZt7XZE2SpO40dkQREfsA5wJHACuB1RFxYFv7o4F3A8dn5sHA14FzmqpHktSbJk89HQNcm5n3ZuYDwBXASW3tC4BXZubd9fTXgf0arEeS1IMmTz0tBza0TW8ADpueyMwJ4P8CRMQewFnA/+mmg0WLFvZUWKs1wthoo2fdfqXpflqtERYv3qvrdUbHmh9/P/rodvyt1gijfdr3Tfczn/d9r2Mf68PY+9FHL+Pfqf4a3PYwsK1tegiYmrlQRPwmVWB8LTMv7aaDiYlNTE1tm33BGSYnt7J5y2TX63VrbLTVeD+Tk1vZuPH+rtfZsrnZukbHWo33Ad2Pf3JyK1v6sO9HR1uN9zOf932vY9/ccF1jY63G+4Dexg8wPDzU0xvsJk893QUsa5teCqxvXyAilgE3UJ12elmDtUiSetTkEcU1wDkRsRh4ADgRWD3dGBEjwL8Al2fmWxqsQ5K0ExoLisy8OyLOBq4DRoH3ZeZNEXEV8HpgX+ApQCsipi9y35yZHllI0gBp9KpLZq4D1s2Yd1z94814w58kDTxfqCVJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklTUanLjEbEKeB2wADg/My+c0b4SeB/waOBzwJrMnGyyJklSdxo7ooiIfYBzgSOAlcDqiDhwxmIfBE7LzMcBQ8DLm6pHktSbJo8ojgGuzcx7ASLiCuAk4E319P7AHpl5Y738WuCNwLs72PYIwPDwUE+FLVm+HJYs6WndrixowUPNHiAtGer+97B86XKWLGx2/AtGWzy0oPmDw6Gl3Y1/+fIl/dn1C+Chh5rtY2hoSff7fskSmh7+AqDhoTO0pPuxL1myHBoffQto/u9+yZLeXv/a1hnpZr2hbdu2dd1ZJyLir4BHZebr6umXAYdl5up6+nDg7zPziHr6AOCq+uhiNkcANzRSuCTt/o4EPt/pwk0eUQwD7Sk0BEx10V7yZaqBbgC27kSNkjSfjADLqF5DO9ZkUNxF9WI+bSmwfkb7skJ7yWa6SENJ0q98r9sVmvx47DXAMyJicUTsCZwIXD3dmJk/BH4ZEU+rZ70I+FSD9UiSetBYUGTm3cDZwHXALcC6zLwpIq6KiEPrxV4AnBcR3wEWAu9sqh5JUm8au5gtSdo9eGe2JKnIoJAkFRkUkqQig0KSVNToQwF3RxFxEvBXVL+7YeADwH3ASZl57IxlLwG+CvwcuARYlZkfbmv/C+A84Lcz846+DOARFBErgB8Af5CZn2mbfwdwDvAu4HaqmylHgfdk5gX9rvOREhFHAedk5lH19F7AZ4AvUH38+4PTTyKo29cC12fm2vp38rDtfRnAI6ze/98Fbq1n7QF8ETgLeD3wNKr9fkDbMhdk5iX9rfSRN/NvoZ63gu1/H8NUDzy9NDPf0OcSH1EeUXShftDhP1C9MB4MHA6cDGwEDo+IJW3L7gn8IfChetZdVM+6avcc4KdN192wh4D31i+aM92cmSvr39VhwJk7eDDknBQRC6nuC7o+M19dzz4jIg4prDZb+1y0vt7HK4HHA/cAV2TmK+t5x7UvszuExCzax/ok4Pep/u6fsKsL2xkGRXf2pnrm2Z4AmbkJeAnwLeBK4Hlty55A9VDEiXr6s8ChEfEogIjYD7gf+Fl/Sm/Meqp31f8wy3J7UD1uZa6Pl3ofXkW1f89qa3orsDYiRh9m1dna57TM3Aa8ATgoIp60q+sZEMuojqjv39WF7AyDoguZ+TXg48D3I+KmiHgbMJKZtwMXA6vaFn8x8P626UngX6neYUEVKpc3X3VfvBp4VkQ8c8b8QyPiloj4OnAHcD2dP6ZlUO0JfBL4r1SnDdt9iOrxCK9/mHVna5/zMnMLcBvV0cV8tLz+m/9ORPwEeAvwJ5l5164ubGcYFF3KzFOBFVSPQ98fuDEinkP1xUt7R8RvR8RS4HFUjzFpdzn/efrpBKqjkDkvM39O9V0iM09B3dx2CD79OzlrR9uYQ54K/BvwEaov3ZppDfDywimm2dp3B9uAB3d1EbvI+vqU24HAZVSvsZ8przL4DIouRMTxEfG8zLw7My/JzJOB04H/WR92X0p1VLEKuCwzZz4N9zrgqRFxEPCTzJzzp2GmZeanKZyCqsPko1QXOOeyL2XmW6iOog6KiDXtjZl5D/Aqqu9X+bVTTLO1z3X1abXgPy/ozkv1v/3XAPsAZ+7icnaaQdGdXwB/U3+6gYgYovr2vq/W7ZdSXaB+LtWnnLaTmVupXkz/iepFc3fzauBZbP9UYAAiYgQ4CviPPtf0SNsCkJm/oHqQ5d/NvECfmdOnmE7c0QZma5+rImKY6svHbszMrp9Qurupv9b5TOCv67MMc5ZB0YXMvI7qH8InIyKB71BdoH1z3T5O9QmoTYWPu15OFS6faLzgPms7BTX9Tnn6GsVXga9RBe3bdlV9j7TM/Heq6xQfAX5jRvMaYFNh9dna54rpc/K3UO3jfYDn7+Ka+uXIiNg0/R/wnpkLZObVwJeoXyPmKh8KKEkq8ohCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpKL/D6WIe/uZVYrRAAAAAElFTkSuQmCC
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Testing time</span>

<span class="n">objects</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;SVM&#39;</span><span class="p">,</span> <span class="s1">&#39;NB&#39;</span><span class="p">,</span> <span class="s1">&#39;KNN&#39;</span><span class="p">,</span><span class="s1">&#39;DT&#39;</span><span class="p">,</span> <span class="s1">&#39;LR&#39;</span><span class="p">)</span>
<span class="n">y_pos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">objects</span><span class="p">))</span>
<span class="n">performance</span> <span class="o">=</span> <span class="n">df_results</span><span class="p">[</span><span class="s1">&#39;pred_time&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="c1">#fig = plt.figure(figsize=(10,12)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">performance</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="s1">&#39;blue&#39;</span><span class="p">,</span> <span class="s1">&#39;cyan&#39;</span><span class="p">,</span> <span class="s1">&#39;yellow&#39;</span><span class="p">],</span> <span class="n">alpha</span><span class="o">=</span> <span class="mf">0.8</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">objects</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Testing time&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Model Testing time&#39;</span><span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">gcf</span><span class="p">()</span>
<span class="n">fig</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;Testing.png&#39;</span><span class="p">,</span><span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span> <span class="p">)</span>
</pre></div>

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<p>Tuning the Parameters using GridSearchCV from the Scikit package</p>

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<div class="prompt input_prompt">In&nbsp;[58]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Grid Search</span>

<span class="k">def</span> <span class="nf">tune_parameters</span><span class="p">(</span><span class="n">sx</span><span class="p">,</span> <span class="n">sy</span><span class="p">):</span>

    <span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">GridSearchCV</span>
    <span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">RandomizedSearchCV</span>
    <span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">accuracy_score</span><span class="p">,</span> <span class="n">make_scorer</span><span class="p">,</span> <span class="n">f1_score</span>

    <span class="c1">#C = [0.1, 1]</span>
   <span class="c1"># gamma = [0.1, 1]</span>
    <span class="n">score</span> <span class="o">=</span> <span class="n">make_scorer</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">)</span>
    <span class="c1">#k = [&#39;rbf&#39;]</span>
    <span class="c1">#degree = [2,3,4]</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
    
    <span class="n">criterion</span><span class="o">=</span><span class="s1">&#39;entropy&#39;</span><span class="p">,</span>
    <span class="n">max_depth</span><span class="o">=</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">]</span>
    <span class="n">min_samples_split</span><span class="o">=</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">]</span>
    <span class="n">min_samples_leaf</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">4</span><span class="p">]</span>

    <span class="c1">#parameters = {&#39;C&#39;: C, &#39;gamma&#39;: gamma, &#39;kernel&#39; : k, &#39;degree&#39; : degree}</span>
    <span class="n">parameters</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;criterion&#39;</span><span class="p">:</span> <span class="n">criterion</span><span class="p">,</span> <span class="s1">&#39;max_depth&#39;</span><span class="p">:</span> <span class="n">max_depth</span><span class="p">,</span> <span class="s1">&#39;min_samples_split&#39;</span> <span class="p">:</span> <span class="n">min_samples_split</span><span class="p">,</span><span class="s1">&#39;min_samples_leaf&#39;</span><span class="p">:</span><span class="n">min_samples_leaf</span><span class="p">}</span>

    <span class="n">grid_obj</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="n">score</span><span class="p">,</span> <span class="n">cv</span> <span class="o">=</span> <span class="mi">5</span><span class="p">)</span>
    <span class="n">b</span> <span class="o">=</span> <span class="n">grid_obj</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">sx</span><span class="p">,</span> <span class="n">sy</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">b</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[59]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">complexity_curve</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span><span class="n">model_DT</span><span class="p">,</span><span class="n">hyperparameter</span><span class="o">=</span><span class="s1">&#39;max_depth&#39;</span><span class="p">,</span><span class="n">param_range</span><span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
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<div class="prompt input_prompt">In&nbsp;[60]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">sorted</span><span class="p">(</span><span class="n">sklearn</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">SCORERS</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
</pre></div>

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<pre>[&#39;accuracy&#39;,
 &#39;adjusted_mutual_info_score&#39;,
 &#39;adjusted_rand_score&#39;,
 &#39;average_precision&#39;,
 &#39;balanced_accuracy&#39;,
 &#39;brier_score_loss&#39;,
 &#39;completeness_score&#39;,
 &#39;explained_variance&#39;,
 &#39;f1&#39;,
 &#39;f1_macro&#39;,
 &#39;f1_micro&#39;,
 &#39;f1_samples&#39;,
 &#39;f1_weighted&#39;,
 &#39;fowlkes_mallows_score&#39;,
 &#39;homogeneity_score&#39;,
 &#39;mutual_info_score&#39;,
 &#39;neg_log_loss&#39;,
 &#39;neg_mean_absolute_error&#39;,
 &#39;neg_mean_squared_error&#39;,
 &#39;neg_mean_squared_log_error&#39;,
 &#39;neg_median_absolute_error&#39;,
 &#39;normalized_mutual_info_score&#39;,
 &#39;precision&#39;,
 &#39;precision_macro&#39;,
 &#39;precision_micro&#39;,
 &#39;precision_samples&#39;,
 &#39;precision_weighted&#39;,
 &#39;r2&#39;,
 &#39;recall&#39;,
 &#39;recall_macro&#39;,
 &#39;recall_micro&#39;,
 &#39;recall_samples&#39;,
 &#39;recall_weighted&#39;,
 &#39;roc_auc&#39;,
 &#39;v_measure_score&#39;]</pre>
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               precision    recall  f1-score   support

           0       0.91      0.99      0.95     12056
           1       0.69      0.19      0.30      1537

   micro avg       0.90      0.90      0.90     13593
   macro avg       0.80      0.59      0.62     13593
weighted avg       0.88      0.90      0.87     13593

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<p>Visualizing the Decision Tree</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">Image</span>  
<span class="kn">from</span> <span class="nn">sklearn.externals.six</span> <span class="k">import</span> <span class="n">StringIO</span>  
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">export_graphviz</span>
<span class="kn">import</span> <span class="nn">pydot</span> 

<span class="n">graph_model_DT</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">criterion</span><span class="o">=</span><span class="s1">&#39;entropy&#39;</span><span class="p">,</span> <span class="n">max_depth</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
<span class="n">graph_model_DT</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
<span class="n">gpred</span> <span class="o">=</span> <span class="n">model_DT</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>

<span class="n">dot_data</span> <span class="o">=</span> <span class="n">StringIO</span><span class="p">()</span>  
<span class="n">export_graphviz</span><span class="p">(</span><span class="n">graph_model_DT</span><span class="p">,</span> <span class="n">out_file</span><span class="o">=</span><span class="n">dot_data</span><span class="p">,</span><span class="n">feature_names</span><span class="o">=</span><span class="n">X</span><span class="o">.</span><span class="n">columns</span><span class="p">,</span><span class="n">filled</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span><span class="n">rounded</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="n">graph</span> <span class="o">=</span> <span class="n">pydot</span><span class="o">.</span><span class="n">graph_from_dot_data</span><span class="p">(</span><span class="n">dot_data</span><span class="o">.</span><span class="n">getvalue</span><span class="p">())</span>  
<span class="n">Image</span><span class="p">(</span><span class="n">graph</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">create_png</span><span class="p">())</span>  
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>
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<div class="prompt input_prompt">In&nbsp;[63]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">classification_report</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span><span class="n">gpred</span><span class="p">))</span>
</pre></div>

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    <div class="prompt"></div>


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<pre>              precision    recall  f1-score   support

           0       0.91      0.99      0.95     12056
           1       0.69      0.19      0.30      1537

   micro avg       0.90      0.90      0.90     13593
   macro avg       0.80      0.59      0.62     13593
weighted avg       0.88      0.90      0.87     13593

</pre>
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<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[64]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">confusion_matrix</span>
<span class="n">imp</span> <span class="o">=</span>  <span class="n">model_DT</span><span class="o">.</span><span class="n">feature_importances_</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[65]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span><span class="n">report_DT</span><span class="p">)</span>
</pre></div>

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<pre>
               precision    recall  f1-score   support

           0       0.91      0.99      0.95     12056
           1       0.69      0.19      0.30      1537

   micro avg       0.90      0.90      0.90     13593
   macro avg       0.80      0.59      0.62     13593
weighted avg       0.88      0.90      0.87     13593

</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">report_NB</span><span class="p">)</span>
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               precision    recall  f1-score   support

           0       0.93      0.91      0.92     12056
           1       0.40      0.45      0.42      1537

   micro avg       0.86      0.86      0.86     13593
   macro avg       0.66      0.68      0.67     13593
weighted avg       0.87      0.86      0.86     13593

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">report_LR</span><span class="p">)</span>
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               precision    recall  f1-score   support

           0       0.91      0.99      0.95     12056
           1       0.67      0.21      0.32      1537

   micro avg       0.90      0.90      0.90     13593
   macro avg       0.79      0.60      0.63     13593
weighted avg       0.88      0.90      0.88     13593

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              precision    recall  f1-score   support

           0       0.91      0.97      0.94     12056
           1       0.54      0.27      0.36      1537

   micro avg       0.89      0.89      0.89     13593
   macro avg       0.73      0.62      0.65     13593
weighted avg       0.87      0.89      0.87     13593

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="o">+</span><span class="n">classification_report</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span><span class="n">gpred</span><span class="p">))</span>
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              precision    recall  f1-score   support

           0       0.91      0.99      0.95     12056
           1       0.69      0.19      0.30      1537

   micro avg       0.90      0.90      0.90     13593
   macro avg       0.80      0.59      0.62     13593
weighted avg       0.88      0.90      0.87     13593

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