index.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>titanic</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)
 */
/*! 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;
    color: #000 !important;
    box-shadow: none !important;
    text-shadow: none !important;
  }
  a,
  a:visited {
    text-decoration: underline;
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  a[href]:after {
    content: " (" attr(href) ")";
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  abbr[title]:after {
    content: " (" attr(title) ")";
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  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
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  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
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  thead {
    display: table-header-group;
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  tr,
  img {
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  img {
    max-width: 100% !important;
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  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
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  h2,
  h3 {
    page-break-after: avoid;
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  .navbar {
    display: none;
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  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
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  .label {
    border: 1px solid #000;
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  .table {
    border-collapse: collapse !important;
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  .table td,
  .table th {
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  .table-bordered th,
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    border: 1px solid #ddd !important;
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}
@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;
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  content: "\002a";
}
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  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
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  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
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}
.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";
}
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}
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  content: "\e013";
}
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}
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}
.glyphicon-zoom-out:before {
  content: "\e016";
}
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}
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}
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}
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}
.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";
}
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  content: "\e028";
}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}
.glyphicon-chevron-left:before {
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}
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}
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  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
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}
.glyphicon-ok-sign:before {
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}
.glyphicon-question-sign:before {
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}
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  content: "\e086";
}
.glyphicon-screenshot:before {
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}
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}
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}
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}
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}
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}
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  content: "\e093";
}
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  content: "\e094";
}
.glyphicon-share-alt:before {
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}
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}
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}
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}
.glyphicon-gift:before {
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}
.glyphicon-leaf:before {
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}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
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}
.glyphicon-warning-sign:before {
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}
.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";
}
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}
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}
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}
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}
.glyphicon-hdd:before {
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}
.glyphicon-bullhorn:before {
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}
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}
.glyphicon-certificate:before {
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}
.glyphicon-thumbs-up:before {
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}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
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  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
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}
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}
.glyphicon-circle-arrow-up:before {
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}
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}
.glyphicon-globe:before {
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}
.glyphicon-wrench:before {
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.glyphicon-tasks:before {
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}
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}
.glyphicon-briefcase:before {
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}
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}
.glyphicon-dashboard:before {
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}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
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}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
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.glyphicon-sort-by-alphabet:before {
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.glyphicon-sort-by-alphabet-alt:before {
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.glyphicon-sort-by-order-alt:before {
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.glyphicon-floppy-saved:before {
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}
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}
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}
.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 4.2.0 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=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#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;
}
.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;
}
@-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 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  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 {
  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:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.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 {
  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: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-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.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";
}
/*!
*
* 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;
}
/**
 * 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 {
  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;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#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#login_widget {
  float: right;
}
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;
}
@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;
}
/*!
*
* 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 {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
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 {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.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: baseline;
  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;
}
.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_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;
}
.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;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.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.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.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.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.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;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.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;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-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.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.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.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.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);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* 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;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  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 {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@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. */
  padding: 0.4em;
}
.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. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

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;
}
/* 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: 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 {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.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;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.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;
}
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.unrendered .text_cell_render {
  display: none;
}
.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;
}
/* 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;
}
.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 {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#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;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -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.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.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;
}
.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;
}
#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;
}
#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;
}
#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.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.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.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.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.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.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 {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  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;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<h1 id="Feature-Engineering,-Data-Exploration,-and-Classification-using-Titanic-Dataset">Feature Engineering, Data Exploration, and Classification using Titanic Dataset<a class="anchor-link" href="#Feature-Engineering,-Data-Exploration,-and-Classification-using-Titanic-Dataset">&#182;</a></h1><p>In machine learing, what perhaps is more important than defining a model or a neural network is data exploration. After we get the dataset, that is hopefully representative of the problem we are trying to solve, the first thing we do is to examine the data and see what characteristics and features are present. Are there any problems in the data? Are some categories under-represented? Are there missing values? Are there significant correlations between some features and outcome? Can we easily engineer new features from existing ones that will correlate better with the outcome? Data exploration not only helps to discover and eliminates some potential problems before model training begins, but will also makes our model more accurate by injecting some human intuition into the solution.</p>
<p>In this tutorial, we will use the Titanic passenger survival dataset to illustrate the concept of data exploration and feature engineering. We choose this dataset because it is simple, and thus allows us to focus on engineering the features. We will show how engineered features play an important role in prediction by being the most important feature in machine learning models. Then, we will illustrate compare several methods of binary classification that can used to predict whether a passenger survives the disaster.</p>
<p>The Titanic dataset can be <a href="https://storage.googleapis.com/kaggle-forum-message-attachments/66979/2180/titanic.csv">download from this website</a>. Prediction Titanic passenger survival is also a <a href="https://www.kaggle.com/c/titanic">Kaggle challege</a>. Note that because the passenger survival information is public, the Kaggle challenge leaderboard is spammed with people submitting actual real-world data as machine learning results, making it meaningless.</p>
<h2 id="1.-Data-Exploration">1. Data Exploration<a class="anchor-link" href="#1.-Data-Exploration">&#182;</a></h2><p>We first load the "titanic.csv" file into a Pandas dataframe. We will immediately print the first few lines of the file.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>

<span class="n">data</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="s1">&#39;titanic.csv&#39;</span><span class="p">)</span>
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
</pre></div>

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      <td>0</td>
      <td>PC 17609</td>
      <td>49.5042</td>
      <td>NaN</td>
      <td>C</td>
      <td>NaN</td>
      <td>22.0</td>
      <td>Montevideo, Uruguay</td>
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<p>We immediately notice that the second column "survived" is our prediction result. The "name" column contains not only the first and last name, but also the <strong>title</strong>, which could be an important indicator of socio-economic status, which could be a factor in the survival probability. The "sibsp" columns contains the number of siblings and spouses a passenger have on the ship. The "parch" column is the number of parent or guardian the passenger have on the ship. The two columns added together is the size of the family together on the ship. The "ticket" column is the ticket number, which is unique for vast majority of the passengers. Some tickets have alphabets in front. The "embarked" column is the port of departure. This could be another indicator of socio-economic status along with the "fare" column. The "boat" and "body" column is information that should not be used to predict survival rate, since it is statistics gathered after the event. These two columns should be dropped. The "cabin" column is very interesting, it contains the <strong>deck</strong> information and the room number. Which deck the passenger resides in could be an indicator of survival rate, and should be extracted. Room number on the other hand, whithout knowing the actual layout of the ship, is not very useful. Finally, the "home.dest" column shows the home and destination of the passenger, which could be another indicator of socio-economic status.</p>
<p>We also immdediatly see that some data is missing. We need to examine in detail which data is missing and determine the best way to fill in these missing data without skewing the prediction results.</p>
<p>We can use the folloing command to list the categories in the dataset.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
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<pre>[&#39;pclass&#39; &#39;survived&#39; &#39;name&#39; &#39;sex&#39; &#39;age&#39; &#39;sibsp&#39; &#39;parch&#39; &#39;ticket&#39; &#39;fare&#39;
 &#39;cabin&#39; &#39;embarked&#39; &#39;boat&#39; &#39;body&#39; &#39;home.dest&#39;]
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<p>From these categories, will will drop "boat", "body" from the dataset since they cannot be used as predictors and they are also not the outcome. We will also drop the "home.dest" column since we already have many other good indicators of socio-economic status. Keeping the "home.dest" column will not cause harm, we just want to keep our model a simpler.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">drop_cat</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;boat&#39;</span><span class="p">,</span><span class="s1">&#39;body&#39;</span><span class="p">,</span><span class="s1">&#39;home.dest&#39;</span><span class="p">]</span>
<span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">drop_cat</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>
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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<style scoped>
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        vertical-align: middle;
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    .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>pclass</th>
      <th>survived</th>
      <th>name</th>
      <th>sex</th>
      <th>age</th>
      <th>sibsp</th>
      <th>parch</th>
      <th>ticket</th>
      <th>fare</th>
      <th>cabin</th>
      <th>embarked</th>
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  </thead>
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    <tr>
      <th>0</th>
      <td>1</td>
      <td>1</td>
      <td>Allen, Miss. Elisabeth Walton</td>
      <td>female</td>
      <td>29.00</td>
      <td>0</td>
      <td>0</td>
      <td>24160</td>
      <td>211.3375</td>
      <td>B5</td>
      <td>S</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1</td>
      <td>1</td>
      <td>Allison, Master. Hudson Trevor</td>
      <td>male</td>
      <td>0.92</td>
      <td>1</td>
      <td>2</td>
      <td>113781</td>
      <td>151.5500</td>
      <td>C22 C26</td>
      <td>S</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1</td>
      <td>0</td>
      <td>Allison, Miss. Helen Loraine</td>
      <td>female</td>
      <td>2.00</td>
      <td>1</td>
      <td>2</td>
      <td>113781</td>
      <td>151.5500</td>
      <td>C22 C26</td>
      <td>S</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1</td>
      <td>0</td>
      <td>Allison, Mr. Hudson Joshua Creighton</td>
      <td>male</td>
      <td>30.00</td>
      <td>1</td>
      <td>2</td>
      <td>113781</td>
      <td>151.5500</td>
      <td>C22 C26</td>
      <td>S</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1</td>
      <td>0</td>
      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>
      <td>female</td>
      <td>25.00</td>
      <td>1</td>
      <td>2</td>
      <td>113781</td>
      <td>151.5500</td>
      <td>C22 C26</td>
      <td>S</td>
    </tr>
    <tr>
      <th>5</th>
      <td>1</td>
      <td>1</td>
      <td>Anderson, Mr. Harry</td>
      <td>male</td>
      <td>48.00</td>
      <td>0</td>
      <td>0</td>
      <td>19952</td>
      <td>26.5500</td>
      <td>E12</td>
      <td>S</td>
    </tr>
    <tr>
      <th>6</th>
      <td>1</td>
      <td>1</td>
      <td>Andrews, Miss. Kornelia Theodosia</td>
      <td>female</td>
      <td>63.00</td>
      <td>1</td>
      <td>0</td>
      <td>13502</td>
      <td>77.9583</td>
      <td>D7</td>
      <td>S</td>
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      <th>7</th>
      <td>1</td>
      <td>0</td>
      <td>Andrews, Mr. Thomas Jr</td>
      <td>male</td>
      <td>39.00</td>
      <td>0</td>
      <td>0</td>
      <td>112050</td>
      <td>0.0000</td>
      <td>A36</td>
      <td>S</td>
    </tr>
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      <th>8</th>
      <td>1</td>
      <td>1</td>
      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>
      <td>female</td>
      <td>53.00</td>
      <td>2</td>
      <td>0</td>
      <td>11769</td>
      <td>51.4792</td>
      <td>C101</td>
      <td>S</td>
    </tr>
    <tr>
      <th>9</th>
      <td>1</td>
      <td>0</td>
      <td>Artagaveytia, Mr. Ramon</td>
      <td>male</td>
      <td>71.00</td>
      <td>0</td>
      <td>0</td>
      <td>PC 17609</td>
      <td>49.5042</td>
      <td>NaN</td>
      <td>C</td>
    </tr>
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<p>Let use directly goto the point and see how many passengers survived the disaster.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
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<pre>0.3819709702062643</pre>
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<p>About 40% of the passengers survived. We know from historical records that women and children were given priority on the lifeboats. Was this true, and did it reflect in their survival rates? Lets take a look.</p>

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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;Survival Rate by Sex&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;sex&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n\n</span><span class="s1">Sex Ratio of Passengers&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;sex&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span><span class="n">normalize</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
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<pre>Survival Rate by Sex
sex
female    0.727468
male      0.190985
Name: survived, dtype: float64


Sex Ratio of Passengers
male      0.644003
female    0.355997
Name: sex, dtype: float64
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<p>We notice that 72% of the female passengers survived, despite making up only 35% of the total passengers. So indeed women had a larger survival rate than men. But what about age? Lets plot the passenger age historgram.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">hist</span> <span class="o">=</span> <span class="n">data</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">bins</span><span class="o">=</span><span class="mi">30</span><span class="p">)</span>
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<p>Looks like most of the pasengers are in their twenties and thirties. There are lots of children too. How about their survival rate?</p>

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<div class="prompt input_prompt">In&nbsp;[27]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">cut</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">],</span> <span class="mi">20</span><span class="p">))</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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<div class="prompt output_prompt">Out[27]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d7ca7947f0&gt;</pre>
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<p>It does look like children have a higher survival rate. The few elderly on the ship also survived.</p>
<p>How about soci-economic status. Do rich people have a survival rate higher than the poor? Lets look at fare first.</p>

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<div class="prompt input_prompt">In&nbsp;[64]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">cut</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare&#39;</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">70</span><span class="p">,</span><span class="mi">100</span><span class="p">,</span><span class="mi">1000</span><span class="p">]))</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d7cd259860&gt;</pre>
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<p>I definitly see a trend here. If you paid more than \$70 for your ticket, your chances of survival are above 60%. If you paied less than \$10, your chances are only at 20%. Lets look at passenger class.</p>

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<div class="prompt input_prompt">In&nbsp;[71]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;pclass&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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<div class="prompt output_prompt">Out[71]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d7cd44e5c0&gt;</pre>
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<p>Clearly 1st class passengers have an advantage of 3rd class.</p>
<p>Now that we have explored our dataset we have fairly good idea on what features are good indicators of survival rate. We maybe able to increase the accuracy of our prediction by engineer new features. For example, maybe doctors have higher survival rate, and military personel have lower survival rate. We can engineer additional features from the features that are already given to us. These additional features represent human intuition, and is very difficult for a machine model to discern.</p>

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<h2 id="2.-Feature-Engineering">2. Feature Engineering<a class="anchor-link" href="#2.-Feature-Engineering">&#182;</a></h2><p>Once we have a good understanding of the dataset we are working with, we can engineer some new features from it to make our predictions more accurate. We first extract the first, last names and the title from the "name" column.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;first name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;,|</span><span class="se">\\</span><span class="s1">.&#39;</span><span class="p">,</span><span class="n">expand</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)[</span><span class="mi">2</span><span class="p">]</span> <span class="c1">#expand set to True to return a df instead of series</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;first name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;first name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span> <span class="c1">#strip leading and trailing white spaces</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;last name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;,|</span><span class="se">\\</span><span class="s1">.&#39;</span><span class="p">,</span><span class="n">expand</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> <span class="c1">#expand set to True to return a df instead of series</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;last name&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;last name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;,|</span><span class="se">\\</span><span class="s1">.&#39;</span><span class="p">,</span><span class="n">expand</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> <span class="c1">#expand set to True to return a df instead of series</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span>

<span class="n">data</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span> <span class="c1">#just display the name column summary</span>
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<pre>Mr              757
Miss            260
Mrs             197
Master           61
Dr                8
Rev               8
Col               4
Ms                2
Mlle              2
Major             2
Jonkheer          1
Sir               1
the Countess      1
Capt              1
Mme               1
Don               1
Lady              1
Dona              1
Name: title, dtype: int64</pre>
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<p>We display the titles gathered from the "name" column. Note that aside from the common titles, there are some religions titles ("Rev"), some noble titles ("Jonkheer", "Don", etc), and some military titles ("Capt", etc). We will sort these titles into social status. Our intuition is that the social status of a person have an impact on their survival rate, and can increase our prediction accuracy when used.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">status_map</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;Capt&#39;</span><span class="p">:</span><span class="s1">&#39;Military&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Col&#39;</span><span class="p">:</span><span class="s1">&#39;Military&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Don&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Dona&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Dr&#39;</span><span class="p">:</span><span class="s1">&#39;Dr&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Jonkheer&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Lady&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Major&#39;</span><span class="p">:</span><span class="s1">&#39;Military&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Master&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Miss&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Mlle&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Mme&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Mr&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Mrs&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Ms&#39;</span><span class="p">:</span><span class="s1">&#39;Common&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Rev&#39;</span><span class="p">:</span><span class="s1">&#39;Clergy&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Sir&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="s1">&#39;the Countess&#39;</span><span class="p">:</span><span class="s1">&#39;Noble&#39;</span><span class="p">,</span>
            <span class="p">}</span>

<span class="n">data</span><span class="p">[</span><span class="s1">&#39;social status&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;title&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">status_map</span><span class="p">)</span>
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<p>What about the size of the family? Would a larger family have more chances of survival?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;family members&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;parch&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;sibsp&#39;</span><span class="p">]</span>
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<p>What about the deck the passenger resides in. Would a higher deck offer more chances of escape?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;deck&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;cabin&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;[0-9]&#39;</span><span class="p">,</span><span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39; &#39;</span><span class="p">,</span> <span class="n">expand</span><span class="o">=</span><span class="kc">True</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="c1">#1. delete cabin number, leaving leading letter (deck); 2. since multiple cabins are assigned, just get the first one, they are all on the same deck</span>
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<p>What about the lenght of the name, or length of the ticket number? Could they hold some mysteries meaning that we can't discern but a machine model can extract?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;name length&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;name&#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="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;ticket length&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;ticket&#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="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
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<p>Let's see if any of the newly engineered features are good indicators of survival. Lets first look at deck.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;social status&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d7cd0fe5c0&gt;</pre>
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<p>Well, it looks like if you are nobility, you escaped with high probability. On the other hand, if you are clergy, you may have stayed behind. What about family size?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;family members&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d7cd56aeb8&gt;</pre>
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<p>So it looks like smaller families survived with higher rate, parents probably left with their children. Single passengers probably stayed behind more. Interestingly, larger family have lower survival rate. Perhaps they could not all fit into a single lifeboat and chose to stay behind together.</p>
<p>The newly engineered features are indeed good indicators to the survival rate. We will use them as part of our model to increase model accuracy. These features are easily obtained using human intuition, but is hard for a model to generate by itself.</p>
<h2 id="3.-Data-Augmentation">3. Data Augmentation<a class="anchor-link" href="#3.-Data-Augmentation">&#182;</a></h2><h3 id="3.1-Fill-in-Missing-Values">3.1 Fill in Missing Values<a class="anchor-link" href="#3.1-Fill-in-Missing-Values">&#182;</a></h3><p>Before we feed our features into any machine model, we need to fill in the missing values and make sure the data format is correct. First, let's see which columns has missing values.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">any</span><span class="p">()</span>
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<pre>pclass            False
survived          False
name              False
sex               False
age                True
sibsp             False
parch             False
ticket            False
fare               True
cabin              True
embarked           True
first name        False
last name         False
title             False
social status     False
family members    False
deck               True
name length       False
ticket length     False
dtype: bool</pre>
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<p>It looks like "age", "fare", "cabin", "embarked", and "deck" have missing values. We must take care filling these values. For categorical data, we can just leave it blank, since "not available" is also a category and may indeed convey some information. Filling a missing categorical data could generate some artificial information which could be harmful to the model. For non-categorical data, we may use the mean value, but we would like to note that this entry is artificiall generated. So we create another column indicating this.</p>
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<li>for "age" column, we use mean value to fill, and use another column to indicate this value is artificial.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;age available&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="o">~</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
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<li>For "fare" data we also use mean value to fill, and use another column to indicate this value is artificial.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare available&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="o">~</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span>
<span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;fare&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
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<li>For "deck" column, since this is categorical, we use NA to indicate missing values</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;deck&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;deck&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="s1">&#39;NA&#39;</span><span class="p">)</span>
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<li>For "embarked" column, we also use NA to indicate missing values</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;embarked&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;embarked&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="s1">&#39;NA&#39;</span><span class="p">)</span>
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<li>Finally we drop the "cabin" column since we already gleened "deck" information from it, and we are not using the room numbers</li>
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<p>Check once again which column have missing data. We will drop the "cabin" column in the next section</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">any</span><span class="p">()</span>
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<pre>pclass            False
survived          False
name              False
sex               False
age               False
sibsp             False
parch             False
ticket            False
fare              False
cabin              True
embarked          False
first name        False
last name         False
title             False
social status     False
family members    False
deck              False
name length       False
ticket length     False
age available     False
fare available    False
dtype: bool</pre>
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<h3 id="3.2-Data-Transformation">3.2 Data Transformation<a class="anchor-link" href="#3.2-Data-Transformation">&#182;</a></h3><p>Once all missing data is filled in. We will extract the columns that we will use in our model.</p>

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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="n">cat_used</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">,</span><span class="s1">&#39;pclass&#39;</span><span class="p">,</span><span class="s1">&#39;sex&#39;</span><span class="p">,</span><span class="s1">&#39;age&#39;</span><span class="p">,</span><span class="s1">&#39;sibsp&#39;</span><span class="p">,</span><span class="s1">&#39;parch&#39;</span><span class="p">,</span><span class="s1">&#39;fare&#39;</span><span class="p">,</span><span class="s1">&#39;embarked&#39;</span><span class="p">,</span><span class="s1">&#39;title&#39;</span><span class="p">,</span><span class="s1">&#39;social status&#39;</span><span class="p">,</span><span class="s1">&#39;family members&#39;</span><span class="p">,</span><span class="s1">&#39;deck&#39;</span><span class="p">,</span><span class="s1">&#39;name length&#39;</span><span class="p">,</span><span class="s1">&#39;ticket length&#39;</span><span class="p">,</span><span class="s1">&#39;age available&#39;</span><span class="p">,</span> <span class="s1">&#39;fare available&#39;</span><span class="p">]</span>
<span class="n">data_used</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="k">for</span> <span class="n">cat</span> <span class="ow">in</span> <span class="n">cat_used</span><span class="p">:</span>
    <span class="n">data_used</span><span class="p">[</span><span class="n">cat_used</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">cat_used</span><span class="p">]</span>

<span class="n">data_used</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span>
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<pre>array([&#39;survived&#39;, &#39;pclass&#39;, &#39;sex&#39;, &#39;age&#39;, &#39;sibsp&#39;, &#39;parch&#39;, &#39;fare&#39;,
       &#39;embarked&#39;, &#39;title&#39;, &#39;social status&#39;, &#39;family members&#39;, &#39;deck&#39;,
       &#39;name length&#39;, &#39;ticket length&#39;, &#39;age available&#39;, &#39;fare available&#39;],
      dtype=object)</pre>
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<p>We have dropped the "cabin" column along with any other column not used.</p>
<p>Categorical data needs to be transformed into <strong>one-hot</strong> vector representation for the model. Assigning an integer to each category does not work because we cannot do number operations on categorical data. Rather, we need an indicator for these data, which is what one-hot vectors are best suited for.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">categorical_data</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;sex&#39;</span><span class="p">,</span><span class="s1">&#39;pclass&#39;</span><span class="p">,</span><span class="s1">&#39;embarked&#39;</span><span class="p">,</span><span class="s1">&#39;title&#39;</span><span class="p">,</span><span class="s1">&#39;social status&#39;</span><span class="p">,</span><span class="s1">&#39;deck&#39;</span><span class="p">,</span><span class="s1">&#39;age available&#39;</span><span class="p">,</span> <span class="s1">&#39;fare available&#39;</span><span class="p">]</span>

<span class="k">for</span> <span class="n">cat</span> <span class="ow">in</span> <span class="n">categorical_data</span><span class="p">:</span>
    <span class="n">data_used</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">data_used</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">data_used</span><span class="p">[</span><span class="n">cat</span><span class="p">],</span> <span class="n">prefix</span> <span class="o">=</span> <span class="n">cat</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">data_used</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">cat</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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<p>We split our data into test data and training data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_data_split</span> <span class="o">=</span> <span class="mf">0.3</span>
<span class="n">msk</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">data_used</span><span class="p">))</span> <span class="o">&lt;</span> <span class="n">test_data_split</span> 

<span class="n">test</span> <span class="o">=</span> <span class="n">data_used</span><span class="p">[</span><span class="n">msk</span><span class="p">]</span>
<span class="n">train</span> <span class="o">=</span> <span class="n">data_used</span><span class="p">[</span><span class="o">~</span><span class="n">msk</span><span class="p">]</span>
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<p>We further split our data into output labels and input data.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Y_train</span> <span class="o">=</span> <span class="n">train</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span>
<span class="n">X_train</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;survived&#39;</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">Y_test</span> <span class="o">=</span> <span class="n">test</span><span class="p">[</span><span class="s1">&#39;survived&#39;</span><span class="p">]</span>
<span class="n">X_test</span> <span class="o">=</span> <span class="n">test</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;survived&#39;</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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<p>For neural network and regression models, since we are doing mathematical operations on the input data, we need to normalize the input data to similar ranges, so that no single category data will dominate the calculated result. We use the MinMaxScaler() function in sklearn to scale our inputs to (0,1).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn</span> <span class="k">import</span> <span class="n">preprocessing</span>
<span class="n">min_max_scaler</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">MinMaxScaler</span><span class="p">()</span>
<span class="n">X_train_minmax</span> <span class="o">=</span> <span class="n">min_max_scaler</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X_train</span><span class="p">)</span>
<span class="n">X_test_minmax</span> <span class="o">=</span> <span class="n">min_max_scaler</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
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<h2 id="4.-Model-Definition-and-Training">4. Model Definition and Training<a class="anchor-link" href="#4.-Model-Definition-and-Training">&#182;</a></h2><p>We are finally ready to define our machine learning model and do some prediction. We compare the prediction accuracy of several classes of binary classification model.</p>
<h3 id="4.1-Baseline-Model">4.1 Baseline Model<a class="anchor-link" href="#4.1-Baseline-Model">&#182;</a></h3><p>For our baseline, we will always predict that the passenger will not survive. We will compare the accuracy of this prediciton with the predictions of our machine learning models.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Y_pred_base</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="nb">len</span><span class="p">(</span><span class="n">Y_test</span><span class="p">)))</span>
<span class="n">compare</span><span class="o">=</span><span class="n">Y_pred_base</span><span class="o">==</span><span class="n">Y_test</span>
<span class="n">acc_base</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Base Line Test Accuracy = &#39;</span><span class="p">,</span><span class="n">acc_base</span><span class="p">)</span>
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<pre>Base Line Test Accuracy =  0.6515580736543909
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<p>Our baseline prediction is pretty good, with an accuracy of 65%.</p>
<h3 id="4.2-Decision-Tree">4.2 Decision Tree<a class="anchor-link" href="#4.2-Decision-Tree">&#182;</a></h3><p>We briefly introduce decision trees.</p>
<ul>
<li>Nonlinear classification model</li>
<li><p>Decision trees generate an approximate solution via greedy, top-down, recursive partitioning.</p>
<ul>
<li>Greedy: grow the tree by recursively splitting the samples in the leaf $R_i$ according to $X_j &gt; s$, such that $(R_i , X_j , s)$ maximize the drop in entropy.</li>
<li>The method is top-down because we start with the original input space X and split it into two child regions by thresholding on a single feature. We then take one of these child regions and can partition via a new threshold. </li>
<li>We continue the training of our model in a recursive manner, always selecting a leaf node, a feature, and a threshold to form a new split.</li>
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</li>
<li><p>Stopping criteria we could use to determine when to halt the growth of a tree:</p>
<ul>
<li>The simplest criteria involves ”fully” growning the tree: we continue until each leaf region contains exactly one training data point. </li>
<li>This technique however leads to a high variance and low bias model, and we therefore turn to various stopping heuristics for regularization. Some common ones include:<ul>
<li>Minimum Leaf Size – Do not split R if its cardinality falls below a fixed threshold. </li>
<li>Maximum Depth – Do not split R if more than a fixed threshold of splits were already taken to reach R. </li>
<li>Maximum Number of Nodes – Stop if a tree has more than a fixed threshold of leaf nodes</li>
</ul>
</li>
</ul>
</li>
</ul>
<p>The benefit of decision trees is that it can be easily visualized. At each node, we know which feature is being used to decide the splits. The disadvantage is that its a greedy process, and will not perform as well as some of the other models.</p>
<h4 id="4.2.1-Hyper-parameter-Tuning">4.2.1 Hyper-parameter Tuning<a class="anchor-link" href="#4.2.1-Hyper-parameter-Tuning">&#182;</a></h4><p>There are several hyper-parameters we can tune to improve performance. Lets see them</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dt_classifier</span><span class="o">.</span><span class="n">get_params</span><span class="p">()</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
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<pre>dict_keys([&#39;class_weight&#39;, &#39;criterion&#39;, &#39;max_depth&#39;, &#39;max_features&#39;, &#39;max_leaf_nodes&#39;, &#39;min_impurity_decrease&#39;, &#39;min_impurity_split&#39;, &#39;min_samples_leaf&#39;, &#39;min_samples_split&#39;, &#39;min_weight_fraction_leaf&#39;, &#39;presort&#39;, &#39;random_state&#39;, &#39;splitter&#39;])</pre>
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<p>Lets scan through the "min_samples_split" and "min_samples_leaf" to maximize accuracy.</p>

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<div class=" highlight hl-ipython3"><pre><span></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.model_selection</span> <span class="k">import</span> <span class="n">GridSearchCV</span>

<span class="n">dt_classifier</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">()</span>
<span class="n">param_grid</span> <span class="o">=</span> <span class="p">{</span> <span class="s2">&quot;min_samples_split&quot;</span> <span class="p">:</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="mi">6</span><span class="p">,</span><span class="mi">7</span><span class="p">],</span> <span class="s2">&quot;min_samples_leaf&quot;</span><span class="p">:</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">5</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">60</span><span class="p">,</span><span class="mi">70</span><span class="p">,</span><span class="mi">80</span><span class="p">,</span><span class="mi">90</span><span class="p">,</span><span class="mi">100</span><span class="p">]}</span>

<span class="n">grid_search</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">estimator</span><span class="o">=</span><span class="n">dt_classifier</span><span class="p">,</span> <span class="n">param_grid</span><span class="o">=</span><span class="n">param_grid</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">cv</span><span class="o">=</span><span class="mi">3</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="n">grid_search</span> <span class="o">=</span> <span class="n">grid_search</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="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
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<pre>0.6234309623430963
{&#39;min_samples_leaf&#39;: 80, &#39;min_samples_split&#39;: 2}
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<p>We see that our best score lies within the middle of our scan range. If the best score lies at either end, we must increase our range and scan again. Also, we can scan another round in finer grainarities around our best parameter .</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">param_grid</span> <span class="o">=</span> <span class="p">{</span> <span class="s2">&quot;min_samples_split&quot;</span> <span class="p">:</span> <span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="s2">&quot;min_samples_leaf&quot;</span><span class="p">:</span> <span class="nb">range</span><span class="p">(</span><span class="mi">70</span><span class="p">,</span><span class="mi">90</span><span class="p">)}</span>

<span class="n">grid_search</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">estimator</span><span class="o">=</span><span class="n">dt_classifier</span><span class="p">,</span> <span class="n">param_grid</span><span class="o">=</span><span class="n">param_grid</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">cv</span><span class="o">=</span><span class="mi">3</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="n">grid_search</span> <span class="o">=</span> <span class="n">grid_search</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="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
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<pre>0.6234309623430963
{&#39;min_samples_leaf&#39;: 73, &#39;min_samples_split&#39;: 2}
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<p>Lets use the best parameters in our model ("min_samples_split"=2 and "min_samples_leaf"=73) and fit using training data. After fitting we will use test data to gauge the accuracy of the model</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dt_classifier</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">min_samples_split</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">min_samples_leaf</span><span class="o">=</span><span class="mi">73</span><span class="p">)</span>
<span class="n">dt_classifier</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">dt_classifier</span><span class="o">.</span><span class="n">score</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">Y_pred_dt</span> <span class="o">=</span> <span class="n">dt_classifier</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">compare</span><span class="o">=</span><span class="n">Y_pred_dt</span><span class="o">==</span><span class="n">Y_test</span>
<span class="n">acc_dt</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Decision Tree Test Accuracy = &#39;</span><span class="p">,</span><span class="n">acc_dt</span><span class="p">)</span>
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<pre>Decision Tree Test Accuracy =  0.8101983002832861
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<p>The accuracy of the model in our is 81%.</p>
<h3 id="4.2.2-Visualization">4.2.2 Visualization<a class="anchor-link" href="#4.2.2-Visualization">&#182;</a></h3><p>Lets generate the decision tree used by our model and visualize how the features are used to generate a prediction</p>

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<div class=" highlight hl-ipython3"><pre><span></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">pydotplus</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">dt_classifier</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">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">special_characters</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                <span class="n">feature_names</span> <span class="o">=</span> <span class="n">X_test</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">graph</span> <span class="o">=</span> <span class="n">pydotplus</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">graph</span><span class="o">.</span><span class="n">write_png</span><span class="p">(</span><span class="s2">&quot;decision.png&quot;</span><span class="p">)</span>
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<pre>True</pre>
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<p><img src="decision.png" alt="Decision Tree"></p>
<p>The model uses the "title", which is an <strong>engineered feature</strong>, at the top of the tree. The title of the passenger not only includes information on sex, but also soci-economic status of the passenger. We are very happy that a engineered feature is the most useful in the model. The second level uses "deck" and "passenger class". Deck is another engineered feature. So  deck information of a passenger indeed is a useful feature to determine rate survival. However, this is used in unexpected ways, that is, if deck information is available or not.</p>
<p>We will generate the "importance" of each feature below in detail below.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">columns</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;variable&#39;</span><span class="p">]),</span> 
           <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">dt_classifier</span><span class="o">.</span><span class="n">feature_importances_</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;importance&#39;</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="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;importance&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[:</span><span class="mi">10</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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    .dataframe tbody tr th {
        vertical-align: top;
    }

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<table border="1" class="dataframe">
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      <th></th>
      <th>variable</th>
      <th>importance</th>
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    <tr>
      <th>28</th>
      <td>title_Mr</td>
      <td>0.662732</td>
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      <th>11</th>
      <td>pclass_3</td>
      <td>0.198602</td>
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      <th>46</th>
      <td>deck_NA</td>
      <td>0.079498</td>
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    <tr>
      <th>15</th>
      <td>embarked_S</td>
      <td>0.029184</td>
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    <tr>
      <th>3</th>
      <td>fare</td>
      <td>0.018941</td>
    </tr>
    <tr>
      <th>5</th>
      <td>name length</td>
      <td>0.011042</td>
    </tr>
    <tr>
      <th>35</th>
      <td>social status_Common</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>37</th>
      <td>social status_Military</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>36</th>
      <td>social status_Dr</td>
      <td>0.000000</td>
    </tr>
    <tr>
      <th>0</th>
      <td>age</td>
      <td>0.000000</td>
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<p>As one can see, "title", "passenger class", "assignment of deck", "embarked port", and "fare" are the most important features to indicate survival. With the <strong>engineered feature</strong> of "title" being overwhelmingly the most important.</p>
<p>We can see from decision tree that indeed ones sex and wealth played an important role in one's survival rate. Age is not a good indicator.</p>
<p>The benefit of decision trees is that it allows us visualize and explain our finds. On other machine learning models, such as neural networks, and random forest, obtaining an intuition on how the features are used by the model is very difficult. Although they may be more accurate.</p>

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<h3 id="4.3-Random-Forest">4.3 Random Forest<a class="anchor-link" href="#4.3-Random-Forest">&#182;</a></h3><p>In random forest, we use many decision trees, each using only part of the data samples.</p>
<ul>
<li>We fit a decision tree to different samples. <ul>
<li>When growing the tree, we select a random sample of m &lt; M predictors to consider in each step. </li>
<li>This will lead to very different (or “uncorrelated”) trees from each sample. </li>
<li>Finally, average the prediction of each tree.</li>
</ul>
</li>
<li>Each tree is grown as follows:<ol>
<li>If the number of cases in the training set is N, sample N cases at random - but with replacement, from the original data. This sample will be the training set for growing the tree.</li>
<li>If there are M input variables, a number m&lt;&lt;M is specified such that at each node, m variables are selected at random out of the M and the best split on these m is used to split the node. The value of m is held constant during the forest growing.</li>
<li>Each tree is grown to the largest extent possible. There is no pruning.</li>
</ol>
</li>
</ul>
<h4 id="4.3.1-Hyper-Parameter-Tuning">4.3.1 Hyper-Parameter Tuning<a class="anchor-link" href="#4.3.1-Hyper-Parameter-Tuning">&#182;</a></h4><p>We first scan through some hyper-parameters.</p>

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<div class=" highlight hl-ipython3"><pre><span></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.ensemble</span> <span class="k">import</span> <span class="n">RandomForestClassifier</span>

<span class="n">rf_classifier</span> <span class="o">=</span> <span class="n">RandomForestClassifier</span><span class="p">(</span><span class="n">criterion</span><span class="o">=</span> <span class="s1">&#39;gini&#39;</span><span class="p">,</span> <span class="n">min_samples_leaf</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">max_features</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">oob_score</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</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="n">param_grid</span> <span class="o">=</span> <span class="p">{</span> <span class="s2">&quot;min_samples_split&quot;</span> <span class="p">:</span> <span class="p">[</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">16</span><span class="p">],</span> <span class="s2">&quot;n_estimators&quot;</span><span class="p">:</span> <span class="p">[</span><span class="mi">40</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span> <span class="mi">60</span><span class="p">,</span> <span class="mi">80</span><span class="p">]}</span>

<span class="n">grid_search</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">estimator</span><span class="o">=</span><span class="n">rf_classifier</span><span class="p">,</span> <span class="n">param_grid</span><span class="o">=</span><span class="n">param_grid</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">cv</span><span class="o">=</span><span class="mi">3</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="n">grid_search</span> <span class="o">=</span> <span class="n">grid_search</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="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_score_</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">grid_search</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
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<pre>0.5366108786610879
{&#39;min_samples_split&#39;: 14, &#39;n_estimators&#39;: 60}
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<p>Once the grid search for hyperparameter is done, we choose the best one and train our model</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rf_classifier</span> <span class="o">=</span> <span class="n">RandomForestClassifier</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">max_features</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">,</span> <span class="n">criterion</span><span class="o">=</span><span class="s1">&#39;gini&#39;</span><span class="p">,</span> <span class="n">min_samples_split</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> <span class="n">min_samples_leaf</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">oob_score</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</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="n">rf_classifier</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">rf_classifier</span><span class="o">.</span><span class="n">oob_score_</span>

<span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">columns</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;variable&#39;</span><span class="p">]),</span> 
           <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">rf_classifier</span><span class="o">.</span><span class="n">feature_importances_</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;importance&#39;</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="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;importance&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>

<span class="n">Y_pred_rf</span> <span class="o">=</span> <span class="n">rf_classifier</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">compare</span><span class="o">=</span><span class="n">Y_pred_rf</span><span class="o">==</span><span class="n">Y_test</span>
<span class="n">acc_rf</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Random Forest Test Accuracy = &#39;</span><span class="p">,</span><span class="n">acc_rf</span><span class="p">)</span>
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<pre>Random Forest Test Accuracy =  0.8271954674220963
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<h4 id="4.3.2-Visualization">4.3.2 Visualization<a class="anchor-link" href="#4.3.2-Visualization">&#182;</a></h4><p>Lets look at the decision imprtance of the features used.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">columns</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;variable&#39;</span><span class="p">]),</span> 
           <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">rf_classifier</span><span class="o">.</span><span class="n">feature_importances_</span><span class="p">,</span> <span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;importance&#39;</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="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;importance&#39;</span><span class="p">,</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[:</span><span class="mi">10</span><span class="p">]</span>
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      <th>variable</th>
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      <th>28</th>
      <td>title_Mr</td>
      <td>0.123850</td>
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      <th>3</th>
      <td>fare</td>
      <td>0.106428</td>
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      <td>sex_male</td>
      <td>0.100436</td>
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      <td>sex_female</td>
      <td>0.093519</td>
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      <td>name length</td>
      <td>0.077640</td>
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      <td>age</td>
      <td>0.066252</td>
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      <td>title_Miss</td>
      <td>0.052551</td>
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      <th>11</th>
      <td>pclass_3</td>
      <td>0.045043</td>
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      <th>4</th>
      <td>family members</td>
      <td>0.044770</td>
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      <td>ticket length</td>
      <td>0.043136</td>
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<p>Like the decision tree model, the title is the most important feature considered. Fare of the passengers follows. <strong>Again, an engineered feature is the most important here.</strong> This shows the importance of feature engineering.</p>

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<h3 id="4.4-Logistic-Regression">4.4 Logistic Regression<a class="anchor-link" href="#4.4-Logistic-Regression">&#182;</a></h3><p>Logic regression combines features together in a linear fashion to predict the outcome. Each feature is weighted differently and summed together. The optimum weights are trained using gradient descent.</p>
<p>In linear regression, the inputs should be normalized to the same range. This is so that no single feature will dominate the weighted combinations.</p>
<h4 id="4.4.1-Hyper-Parameter-Tuning">4.4.1 Hyper-Parameter Tuning<a class="anchor-link" href="#4.4.1-Hyper-Parameter-Tuning">&#182;</a></h4><p>We will not tune any hyper-parameters for linear regression</p>

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<div class=" highlight hl-ipython3"><pre><span></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="n">lr_classifierlogreg</span> <span class="o">=</span> <span class="n">LogisticRegression</span><span class="p">()</span>
<span class="n">lr_classifierlogreg</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train_minmax</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">)</span>

<span class="n">lr_classifierlogreg</span><span class="o">.</span><span class="n">score</span><span class="p">(</span><span class="n">X_train_minmax</span><span class="p">,</span> <span class="n">Y_train</span><span class="p">)</span>
<span class="n">Y_pred_lr</span> <span class="o">=</span> <span class="n">lr_classifierlogreg</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test_minmax</span><span class="p">)</span>
<span class="n">compare</span><span class="o">=</span><span class="n">Y_pred_lr</span><span class="o">==</span><span class="n">Y_test</span>
<span class="n">acc_lr</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Linear Regression Test Accuracy = &#39;</span><span class="p">,</span><span class="n">acc_lr</span><span class="p">)</span>
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<pre>Linear Regression Test Accuracy =  0.8101983002832861
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<pre>C:\Users\1\Anaconda3\lib\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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<p>Our prediction accuracy is 81%</p>

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<h4 id="4.4.2-Visualization">4.4.2 Visualization<a class="anchor-link" href="#4.4.2-Visualization">&#182;</a></h4><p>Only the weights are available for us to examine. But in general gaining intuition from them is difficult. Thus we do not visualize the weights here</p>

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<h3 id="4.5-Neural-Network">4.5 Neural Network<a class="anchor-link" href="#4.5-Neural-Network">&#182;</a></h3><p>Neural network allows the <em>non-linear</em> combination of features to predict an outcome. This is achieved using non=linear activations such as "relu". Furthermore, we can have multiple layers of neural networks and re-combine the already combined features again. This makes neural networks more powerful than logistic regression. However, for simple datasets like the Titanic dataset, neural network will not signifcantly out perform other models.</p>
<h4 id="4.5.1-Hyper-Parameter-Tuning">4.5.1 Hyper-Parameter Tuning<a class="anchor-link" href="#4.5.1-Hyper-Parameter-Tuning">&#182;</a></h4><p>Many parameters can be tuned in neural networks. This include the number of layers, size of each layer, activation of each layer, among others. For sake of simplicity, we will not tune hyper-parameters here. This is a topic that is too complicated to be covered here.</p>

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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">keras.models</span> <span class="k">import</span> <span class="n">Sequential</span>
<span class="kn">from</span> <span class="nn">keras.layers</span> <span class="k">import</span> <span class="n">Dense</span>
<span class="kn">from</span> <span class="nn">keras.utils</span> <span class="k">import</span> <span class="n">plot_model</span>

<span class="n">model</span> <span class="o">=</span> <span class="n">Sequential</span><span class="p">()</span>

<span class="c1"># Add new layers</span>
<span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="n">units</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;linear&#39;</span><span class="p">,</span><span class="n">input_dim</span><span class="o">=</span><span class="mi">52</span><span class="p">))</span>
<span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="n">units</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
<span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="n">units</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;sigmoid&#39;</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
<span class="n">plot_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">to_file</span><span class="o">=</span><span class="s1">&#39;model.png&#39;</span><span class="p">,</span><span class="n">show_shapes</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;adam&#39;</span><span class="p">,</span><span class="n">loss</span><span class="o">=</span><span class="s1">&#39;binary_crossentropy&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>
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<pre>_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
dense_46 (Dense)             (None, 20)                1060      
_________________________________________________________________
dense_47 (Dense)             (None, 10)                210       
_________________________________________________________________
dense_48 (Dense)             (None, 1)                 11        
=================================================================
Total params: 1,281
Trainable params: 1,281
Non-trainable params: 0
_________________________________________________________________
None
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<h4 id="4.4.2-Visualization">4.4.2 Visualization<a class="anchor-link" href="#4.4.2-Visualization">&#182;</a></h4><p>We can visualize our model here.</p>
<p><img src="model.png" alt=""></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">history</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">X_train_minmax</span><span class="p">,</span>
                    <span class="n">y</span><span class="o">=</span><span class="n">Y_train</span><span class="p">,</span> 
                    <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> 
                    <span class="n">epochs</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> 
                    <span class="n">verbose</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> 
                    <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
                    <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<p>Training a neural network model involves many iterations or epochs. The accuracy and error (loss) increase and decrease over time respectively.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="nb">print</span><span class="p">(</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span>
<span class="c1"># summarize history for accuracy</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;acc&#39;</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">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;val_acc&#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">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">xlabel</span><span class="p">(</span><span class="s1">&#39;epoch&#39;</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="s1">&#39;train&#39;</span><span class="p">,</span> <span class="s1">&#39;validation&#39;</span><span class="p">],</span> <span class="n">loc</span><span class="o">=</span><span class="s1">&#39;lower right&#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="c1"># summarize history for loss</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;loss&#39;</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">history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;val_loss&#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 loss&#39;</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;loss&#39;</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="s1">&#39;epoch&#39;</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="s1">&#39;train&#39;</span><span class="p">,</span> <span class="s1">&#39;validation&#39;</span><span class="p">],</span> <span class="n">loc</span><span class="o">=</span><span class="s1">&#39;upper right&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>dict_keys([&#39;val_loss&#39;, &#39;val_acc&#39;, &#39;loss&#39;, &#39;acc&#39;])
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<div class="prompt input_prompt">In&nbsp;[153]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Y_pred_nn</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test_minmax</span><span class="p">)</span>
<span class="n">compare</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">squeeze</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">Y_pred_nn</span><span class="p">))</span><span class="o">==</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">Y_test</span><span class="p">)</span>
<span class="n">acc_nn</span> <span class="o">=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">compare</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Neural Network Test Accuracy = &#39;</span><span class="p">,</span><span class="n">acc_nn</span><span class="p">)</span>
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<pre>Neural Network Test Accuracy =  0.8215297450424929
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<p>Our model accuracy is 82%.</p>
<h2 id="5.-Model-Comparison">5. Model Comparison<a class="anchor-link" href="#5.-Model-Comparison">&#182;</a></h2><p>We compare the test accuracy of our models below. For simple datasets, all models perform equally well. In particular, simple models such as decision tree is able to perform well when we feed it engineered features.</p>

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<th style="text-align:center">Model</th>
<th style="text-align:center">Test Accuracy</th>
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<td style="text-align:center">Baseline</td>
<td style="text-align:center">0.6512</td>
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<td style="text-align:center">Decision Tree</td>
<td style="text-align:center">0.8102</td>
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<td style="text-align:center">Random Forest</td>
<td style="text-align:center">0.8272</td>
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<td style="text-align:center">Logistic Regression</td>
<td style="text-align:center">0.8102</td>
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<td style="text-align:center">Neural Network</td>
<td style="text-align:center">0.8215</td>
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