dlnd-your-first-neural-network.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>dlnd-your-first-neural-network</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 v3.3.6 (http://getbootstrap.com)
 * Copyright 2011-2015 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;
  }
  a[href]:after {
    content: " (" attr(href) ")";
  }
  abbr[title]:after {
    content: " (" attr(title) ")";
  }
  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
  }
  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
  }
  thead {
    display: table-header-group;
  }
  tr,
  img {
    page-break-inside: avoid;
  }
  img {
    max-width: 100% !important;
  }
  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
  }
  h2,
  h3 {
    page-break-after: avoid;
  }
  .navbar {
    display: none;
  }
  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
  }
  .label {
    border: 1px solid #000;
  }
  .table {
    border-collapse: collapse !important;
  }
  .table td,
  .table th {
    background-color: #fff !important;
  }
  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !important;
  }
}
@font-face {
  font-family: 'Glyphicons Halflings';
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
  position: relative;
  top: 1px;
  display: inline-block;
  font-family: 'Glyphicons Halflings';
  font-style: normal;
  font-weight: normal;
  line-height: 1;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
.glyphicon-asterisk:before {
  content: "\002a";
}
.glyphicon-plus:before {
  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
.glyphicon-cloud:before {
  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
  content: "\270f";
}
.glyphicon-glass:before {
  content: "\e001";
}
.glyphicon-music:before {
  content: "\e002";
}
.glyphicon-search:before {
  content: "\e003";
}
.glyphicon-heart:before {
  content: "\e005";
}
.glyphicon-star:before {
  content: "\e006";
}
.glyphicon-star-empty:before {
  content: "\e007";
}
.glyphicon-user:before {
  content: "\e008";
}
.glyphicon-film:before {
  content: "\e009";
}
.glyphicon-th-large:before {
  content: "\e010";
}
.glyphicon-th:before {
  content: "\e011";
}
.glyphicon-th-list:before {
  content: "\e012";
}
.glyphicon-ok:before {
  content: "\e013";
}
.glyphicon-remove:before {
  content: "\e014";
}
.glyphicon-zoom-in:before {
  content: "\e015";
}
.glyphicon-zoom-out:before {
  content: "\e016";
}
.glyphicon-off:before {
  content: "\e017";
}
.glyphicon-signal:before {
  content: "\e018";
}
.glyphicon-cog:before {
  content: "\e019";
}
.glyphicon-trash:before {
  content: "\e020";
}
.glyphicon-home:before {
  content: "\e021";
}
.glyphicon-file:before {
  content: "\e022";
}
.glyphicon-time:before {
  content: "\e023";
}
.glyphicon-road:before {
  content: "\e024";
}
.glyphicon-download-alt:before {
  content: "\e025";
}
.glyphicon-download:before {
  content: "\e026";
}
.glyphicon-upload:before {
  content: "\e027";
}
.glyphicon-inbox:before {
  content: "\e028";
}
.glyphicon-play-circle:before {
  content: "\e029";
}
.glyphicon-repeat:before {
  content: "\e030";
}
.glyphicon-refresh:before {
  content: "\e031";
}
.glyphicon-list-alt:before {
  content: "\e032";
}
.glyphicon-lock:before {
  content: "\e033";
}
.glyphicon-flag:before {
  content: "\e034";
}
.glyphicon-headphones:before {
  content: "\e035";
}
.glyphicon-volume-off:before {
  content: "\e036";
}
.glyphicon-volume-down:before {
  content: "\e037";
}
.glyphicon-volume-up:before {
  content: "\e038";
}
.glyphicon-qrcode:before {
  content: "\e039";
}
.glyphicon-barcode:before {
  content: "\e040";
}
.glyphicon-tag:before {
  content: "\e041";
}
.glyphicon-tags:before {
  content: "\e042";
}
.glyphicon-book:before {
  content: "\e043";
}
.glyphicon-bookmark:before {
  content: "\e044";
}
.glyphicon-print:before {
  content: "\e045";
}
.glyphicon-camera:before {
  content: "\e046";
}
.glyphicon-font:before {
  content: "\e047";
}
.glyphicon-bold:before {
  content: "\e048";
}
.glyphicon-italic:before {
  content: "\e049";
}
.glyphicon-text-height:before {
  content: "\e050";
}
.glyphicon-text-width:before {
  content: "\e051";
}
.glyphicon-align-left:before {
  content: "\e052";
}
.glyphicon-align-center:before {
  content: "\e053";
}
.glyphicon-align-right:before {
  content: "\e054";
}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
  content: "\e056";
}
.glyphicon-indent-left:before {
  content: "\e057";
}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
  content: "\e059";
}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
  content: "\e062";
}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
  content: "\e064";
}
.glyphicon-edit:before {
  content: "\e065";
}
.glyphicon-share:before {
  content: "\e066";
}
.glyphicon-check:before {
  content: "\e067";
}
.glyphicon-move:before {
  content: "\e068";
}
.glyphicon-step-backward:before {
  content: "\e069";
}
.glyphicon-fast-backward:before {
  content: "\e070";
}
.glyphicon-backward:before {
  content: "\e071";
}
.glyphicon-play:before {
  content: "\e072";
}
.glyphicon-pause:before {
  content: "\e073";
}
.glyphicon-stop:before {
  content: "\e074";
}
.glyphicon-forward:before {
  content: "\e075";
}
.glyphicon-fast-forward:before {
  content: "\e076";
}
.glyphicon-step-forward:before {
  content: "\e077";
}
.glyphicon-eject:before {
  content: "\e078";
}
.glyphicon-chevron-left:before {
  content: "\e079";
}
.glyphicon-chevron-right:before {
  content: "\e080";
}
.glyphicon-plus-sign:before {
  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
  content: "\e083";
}
.glyphicon-ok-sign:before {
  content: "\e084";
}
.glyphicon-question-sign:before {
  content: "\e085";
}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
  content: "\e087";
}
.glyphicon-remove-circle:before {
  content: "\e088";
}
.glyphicon-ok-circle:before {
  content: "\e089";
}
.glyphicon-ban-circle:before {
  content: "\e090";
}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
  content: "\e092";
}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
  content: "\e095";
}
.glyphicon-resize-full:before {
  content: "\e096";
}
.glyphicon-resize-small:before {
  content: "\e097";
}
.glyphicon-exclamation-sign:before {
  content: "\e101";
}
.glyphicon-gift:before {
  content: "\e102";
}
.glyphicon-leaf:before {
  content: "\e103";
}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
  content: "\e106";
}
.glyphicon-warning-sign:before {
  content: "\e107";
}
.glyphicon-plane:before {
  content: "\e108";
}
.glyphicon-calendar:before {
  content: "\e109";
}
.glyphicon-random:before {
  content: "\e110";
}
.glyphicon-comment:before {
  content: "\e111";
}
.glyphicon-magnet:before {
  content: "\e112";
}
.glyphicon-chevron-up:before {
  content: "\e113";
}
.glyphicon-chevron-down:before {
  content: "\e114";
}
.glyphicon-retweet:before {
  content: "\e115";
}
.glyphicon-shopping-cart:before {
  content: "\e116";
}
.glyphicon-folder-close:before {
  content: "\e117";
}
.glyphicon-folder-open:before {
  content: "\e118";
}
.glyphicon-resize-vertical:before {
  content: "\e119";
}
.glyphicon-resize-horizontal:before {
  content: "\e120";
}
.glyphicon-hdd:before {
  content: "\e121";
}
.glyphicon-bullhorn:before {
  content: "\e122";
}
.glyphicon-bell:before {
  content: "\e123";
}
.glyphicon-certificate:before {
  content: "\e124";
}
.glyphicon-thumbs-up:before {
  content: "\e125";
}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
.glyphicon-hand-down:before {
  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
  content: "\e131";
}
.glyphicon-circle-arrow-left:before {
  content: "\e132";
}
.glyphicon-circle-arrow-up:before {
  content: "\e133";
}
.glyphicon-circle-arrow-down:before {
  content: "\e134";
}
.glyphicon-globe:before {
  content: "\e135";
}
.glyphicon-wrench:before {
  content: "\e136";
}
.glyphicon-tasks:before {
  content: "\e137";
}
.glyphicon-filter:before {
  content: "\e138";
}
.glyphicon-briefcase:before {
  content: "\e139";
}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
  content: "\e144";
}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
  content: "\e149";
}
.glyphicon-sort:before {
  content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
  content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
  content: "\e152";
}
.glyphicon-sort-by-order:before {
  content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
  content: "\e154";
}
.glyphicon-sort-by-attributes:before {
  content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
  content: "\e156";
}
.glyphicon-unchecked:before {
  content: "\e157";
}
.glyphicon-expand:before {
  content: "\e158";
}
.glyphicon-collapse-down:before {
  content: "\e159";
}
.glyphicon-collapse-up:before {
  content: "\e160";
}
.glyphicon-log-in:before {
  content: "\e161";
}
.glyphicon-flash:before {
  content: "\e162";
}
.glyphicon-log-out:before {
  content: "\e163";
}
.glyphicon-new-window:before {
  content: "\e164";
}
.glyphicon-record:before {
  content: "\e165";
}
.glyphicon-save:before {
  content: "\e166";
}
.glyphicon-open:before {
  content: "\e167";
}
.glyphicon-saved:before {
  content: "\e168";
}
.glyphicon-import:before {
  content: "\e169";
}
.glyphicon-export:before {
  content: "\e170";
}
.glyphicon-send:before {
  content: "\e171";
}
.glyphicon-floppy-disk:before {
  content: "\e172";
}
.glyphicon-floppy-saved:before {
  content: "\e173";
}
.glyphicon-floppy-remove:before {
  content: "\e174";
}
.glyphicon-floppy-save:before {
  content: "\e175";
}
.glyphicon-floppy-open:before {
  content: "\e176";
}
.glyphicon-credit-card:before {
  content: "\e177";
}
.glyphicon-transfer:before {
  content: "\e178";
}
.glyphicon-cutlery:before {
  content: "\e179";
}
.glyphicon-header:before {
  content: "\e180";
}
.glyphicon-compressed:before {
  content: "\e181";
}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
  content: "\e185";
}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
  content: "\e187";
}
.glyphicon-subtitles:before {
  content: "\e188";
}
.glyphicon-sound-stereo:before {
  content: "\e189";
}
.glyphicon-sound-dolby:before {
  content: "\e190";
}
.glyphicon-sound-5-1:before {
  content: "\e191";
}
.glyphicon-sound-6-1:before {
  content: "\e192";
}
.glyphicon-sound-7-1:before {
  content: "\e193";
}
.glyphicon-copyright-mark:before {
  content: "\e194";
}
.glyphicon-registration-mark:before {
  content: "\e195";
}
.glyphicon-cloud-download:before {
  content: "\e197";
}
.glyphicon-cloud-upload:before {
  content: "\e198";
}
.glyphicon-tree-conifer:before {
  content: "\e199";
}
.glyphicon-tree-deciduous:before {
  content: "\e200";
}
.glyphicon-cd:before {
  content: "\e201";
}
.glyphicon-save-file:before {
  content: "\e202";
}
.glyphicon-open-file:before {
  content: "\e203";
}
.glyphicon-level-up:before {
  content: "\e204";
}
.glyphicon-copy:before {
  content: "\e205";
}
.glyphicon-paste:before {
  content: "\e206";
}
.glyphicon-alert:before {
  content: "\e209";
}
.glyphicon-equalizer:before {
  content: "\e210";
}
.glyphicon-king:before {
  content: "\e211";
}
.glyphicon-queen:before {
  content: "\e212";
}
.glyphicon-pawn:before {
  content: "\e213";
}
.glyphicon-bishop:before {
  content: "\e214";
}
.glyphicon-knight:before {
  content: "\e215";
}
.glyphicon-baby-formula:before {
  content: "\e216";
}
.glyphicon-tent:before {
  content: "\26fa";
}
.glyphicon-blackboard:before {
  content: "\e218";
}
.glyphicon-bed:before {
  content: "\e219";
}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
  content: "\e224";
}
.glyphicon-piggy-bank:before {
  content: "\e225";
}
.glyphicon-scissors:before {
  content: "\e226";
}
.glyphicon-bitcoin:before {
  content: "\e227";
}
.glyphicon-btc:before {
  content: "\e227";
}
.glyphicon-xbt:before {
  content: "\e227";
}
.glyphicon-yen:before {
  content: "\00a5";
}
.glyphicon-jpy:before {
  content: "\00a5";
}
.glyphicon-ruble:before {
  content: "\20bd";
}
.glyphicon-rub:before {
  content: "\20bd";
}
.glyphicon-scale:before {
  content: "\e230";
}
.glyphicon-ice-lolly:before {
  content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
  content: "\e232";
}
.glyphicon-education:before {
  content: "\e233";
}
.glyphicon-option-horizontal:before {
  content: "\e234";
}
.glyphicon-option-vertical:before {
  content: "\e235";
}
.glyphicon-menu-hamburger:before {
  content: "\e236";
}
.glyphicon-modal-window:before {
  content: "\e237";
}
.glyphicon-oil:before {
  content: "\e238";
}
.glyphicon-grain:before {
  content: "\e239";
}
.glyphicon-sunglasses:before {
  content: "\e240";
}
.glyphicon-text-size:before {
  content: "\e241";
}
.glyphicon-text-color:before {
  content: "\e242";
}
.glyphicon-text-background:before {
  content: "\e243";
}
.glyphicon-object-align-top:before {
  content: "\e244";
}
.glyphicon-object-align-bottom:before {
  content: "\e245";
}
.glyphicon-object-align-horizontal:before {
  content: "\e246";
}
.glyphicon-object-align-left:before {
  content: "\e247";
}
.glyphicon-object-align-vertical:before {
  content: "\e248";
}
.glyphicon-object-align-right:before {
  content: "\e249";
}
.glyphicon-triangle-right:before {
  content: "\e250";
}
.glyphicon-triangle-left:before {
  content: "\e251";
}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: thin dotted;
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  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: thin dotted;
  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: thin dotted;
  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;
  }
}
#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
 */
ul#tabs {
  margin-bottom: 4px;
}
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;
}
.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;
}
#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;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.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 {
  /* 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;
}
@-moz-document url-prefix() {
  div.inner_cell {
    overflow-x: hidden;
  }
}
/* 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: 20ex;
  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;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  display: none;
}
.command-shortcut:before {
  content: "(command)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </style>
<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

    </style>


<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}

@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
    MathJax.Hub.Config({
        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="Your-first-neural-network">Your first neural network<a class="anchor-link" href="#Your-first-neural-network">&#182;</a></h1><p>In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementation of the neural network up to you (for the most part). After you've submitted this project, feel free to explore the data and the model more.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[18]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Load-and-prepare-the-data">Load and prepare the data<a class="anchor-link" href="#Load-and-prepare-the-data">&#182;</a></h2><p>A critical step in working with neural networks is preparing the data correctly. Variables on different scales make it difficult for the network to efficiently learn the correct weights. Below, we've written the code to load and prepare the data. You'll learn more about this soon!</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[19]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_path</span> <span class="o">=</span> <span class="s1">&#39;Bike-Sharing-Dataset/hour.csv&#39;</span>

<span class="n">rides</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="n">data_path</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[20]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rides</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt output_prompt">Out[20]:</div>

<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>instant</th>
      <th>dteday</th>
      <th>season</th>
      <th>yr</th>
      <th>mnth</th>
      <th>hr</th>
      <th>holiday</th>
      <th>weekday</th>
      <th>workingday</th>
      <th>weathersit</th>
      <th>temp</th>
      <th>atemp</th>
      <th>hum</th>
      <th>windspeed</th>
      <th>casual</th>
      <th>registered</th>
      <th>cnt</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1</td>
      <td>2011-01-01</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>6</td>
      <td>0</td>
      <td>1</td>
      <td>0.24</td>
      <td>0.2879</td>
      <td>0.81</td>
      <td>0.0</td>
      <td>3</td>
      <td>13</td>
      <td>16</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2</td>
      <td>2011-01-01</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>0</td>
      <td>6</td>
      <td>0</td>
      <td>1</td>
      <td>0.22</td>
      <td>0.2727</td>
      <td>0.80</td>
      <td>0.0</td>
      <td>8</td>
      <td>32</td>
      <td>40</td>
    </tr>
    <tr>
      <th>2</th>
      <td>3</td>
      <td>2011-01-01</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>2</td>
      <td>0</td>
      <td>6</td>
      <td>0</td>
      <td>1</td>
      <td>0.22</td>
      <td>0.2727</td>
      <td>0.80</td>
      <td>0.0</td>
      <td>5</td>
      <td>27</td>
      <td>32</td>
    </tr>
    <tr>
      <th>3</th>
      <td>4</td>
      <td>2011-01-01</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>3</td>
      <td>0</td>
      <td>6</td>
      <td>0</td>
      <td>1</td>
      <td>0.24</td>
      <td>0.2879</td>
      <td>0.75</td>
      <td>0.0</td>
      <td>3</td>
      <td>10</td>
      <td>13</td>
    </tr>
    <tr>
      <th>4</th>
      <td>5</td>
      <td>2011-01-01</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>4</td>
      <td>0</td>
      <td>6</td>
      <td>0</td>
      <td>1</td>
      <td>0.24</td>
      <td>0.2879</td>
      <td>0.75</td>
      <td>0.0</td>
      <td>0</td>
      <td>1</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Checking-out-the-data">Checking out the data<a class="anchor-link" href="#Checking-out-the-data">&#182;</a></h2><p>This dataset has the number of riders for each hour of each day from January 1 2011 to December 31 2012. The number of riders is split between casual and registered, summed up in the <code>cnt</code> column. You can see the first few rows of the data above.</p>
<p>Below is a plot showing the number of bike riders over the first 10 days in the data set. You can see the hourly rentals here. This data is pretty complicated! The weekends have lower over all ridership and there are spikes when people are biking to and from work during the week. Looking at the data above, we also have information about temperature, humidity, and windspeed, all of these likely affecting the number of riders. You'll be trying to capture all this with your model.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[21]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rides</span><span class="p">[:</span><span class="mi">24</span><span class="o">*</span><span class="mi">10</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;dteday&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;cnt&#39;</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt output_prompt">Out[21]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x110a01710&gt;</pre>
</div>

</div>

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvgAAAIPCAYAAAAGtapCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=380
height=263
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Dummy-variables">Dummy variables<a class="anchor-link" href="#Dummy-variables">&#182;</a></h3><p>Here we have some categorical variables like season, weather, month. To include these in our model, we'll need to make binary dummy variables. This is simple to do with Pandas thanks to <code>get_dummies()</code>.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[22]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dummy_fields</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;season&#39;</span><span class="p">,</span> <span class="s1">&#39;weathersit&#39;</span><span class="p">,</span> <span class="s1">&#39;mnth&#39;</span><span class="p">,</span> <span class="s1">&#39;hr&#39;</span><span class="p">,</span> <span class="s1">&#39;weekday&#39;</span><span class="p">]</span>
<span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">dummy_fields</span><span class="p">:</span>
    <span class="n">dummies</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">rides</span><span class="p">[</span><span class="n">each</span><span class="p">],</span> <span class="n">prefix</span><span class="o">=</span><span class="n">each</span><span class="p">,</span> <span class="n">drop_first</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
    <span class="n">rides</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">rides</span><span class="p">,</span> <span class="n">dummies</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">fields_to_drop</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;instant&#39;</span><span class="p">,</span> <span class="s1">&#39;dteday&#39;</span><span class="p">,</span> <span class="s1">&#39;season&#39;</span><span class="p">,</span> <span class="s1">&#39;weathersit&#39;</span><span class="p">,</span> 
                  <span class="s1">&#39;weekday&#39;</span><span class="p">,</span> <span class="s1">&#39;atemp&#39;</span><span class="p">,</span> <span class="s1">&#39;mnth&#39;</span><span class="p">,</span> <span class="s1">&#39;workingday&#39;</span><span class="p">,</span> <span class="s1">&#39;hr&#39;</span><span class="p">]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">rides</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">fields_to_drop</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>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt output_prompt">Out[22]:</div>

<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>yr</th>
      <th>holiday</th>
      <th>temp</th>
      <th>hum</th>
      <th>windspeed</th>
      <th>casual</th>
      <th>registered</th>
      <th>cnt</th>
      <th>season_1</th>
      <th>season_2</th>
      <th>...</th>
      <th>hr_21</th>
      <th>hr_22</th>
      <th>hr_23</th>
      <th>weekday_0</th>
      <th>weekday_1</th>
      <th>weekday_2</th>
      <th>weekday_3</th>
      <th>weekday_4</th>
      <th>weekday_5</th>
      <th>weekday_6</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>0</td>
      <td>0</td>
      <td>0.24</td>
      <td>0.81</td>
      <td>0.0</td>
      <td>3</td>
      <td>13</td>
      <td>16</td>
      <td>1</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
    <tr>
      <th>1</th>
      <td>0</td>
      <td>0</td>
      <td>0.22</td>
      <td>0.80</td>
      <td>0.0</td>
      <td>8</td>
      <td>32</td>
      <td>40</td>
      <td>1</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
    <tr>
      <th>2</th>
      <td>0</td>
      <td>0</td>
      <td>0.22</td>
      <td>0.80</td>
      <td>0.0</td>
      <td>5</td>
      <td>27</td>
      <td>32</td>
      <td>1</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
    <tr>
      <th>3</th>
      <td>0</td>
      <td>0</td>
      <td>0.24</td>
      <td>0.75</td>
      <td>0.0</td>
      <td>3</td>
      <td>10</td>
      <td>13</td>
      <td>1</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4</th>
      <td>0</td>
      <td>0</td>
      <td>0.24</td>
      <td>0.75</td>
      <td>0.0</td>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>1</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 59 columns</p>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Scaling-target-variables">Scaling target variables<a class="anchor-link" href="#Scaling-target-variables">&#182;</a></h3><p>To make training the network easier, we'll standardize each of the continuous variables. That is, we'll shift and scale the variables such that they have zero mean and a standard deviation of 1.</p>
<p>The scaling factors are saved so we can go backwards when we use the network for predictions.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[23]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">quant_features</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;casual&#39;</span><span class="p">,</span> <span class="s1">&#39;registered&#39;</span><span class="p">,</span> <span class="s1">&#39;cnt&#39;</span><span class="p">,</span> <span class="s1">&#39;temp&#39;</span><span class="p">,</span> <span class="s1">&#39;hum&#39;</span><span class="p">,</span> <span class="s1">&#39;windspeed&#39;</span><span class="p">]</span>
<span class="c1"># Store scalings in a dictionary so we can convert back later</span>
<span class="n">scaled_features</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">quant_features</span><span class="p">:</span>
    <span class="n">mean</span><span class="p">,</span> <span class="n">std</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">each</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span> <span class="n">data</span><span class="p">[</span><span class="n">each</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
    <span class="n">scaled_features</span><span class="p">[</span><span class="n">each</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">mean</span><span class="p">,</span> <span class="n">std</span><span class="p">]</span>
    <span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="n">each</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">each</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">std</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Splitting-the-data-into-training,-testing,-and-validation-sets">Splitting the data into training, testing, and validation sets<a class="anchor-link" href="#Splitting-the-data-into-training,-testing,-and-validation-sets">&#182;</a></h3><p>We'll save the last 21 days of the data to use as a test set after we've trained the network. We'll use this set to make predictions and compare them with the actual number of riders.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[24]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Save the last 21 days </span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="o">-</span><span class="mi">21</span><span class="o">*</span><span class="mi">24</span><span class="p">:]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:</span><span class="o">-</span><span class="mi">21</span><span class="o">*</span><span class="mi">24</span><span class="p">]</span>

<span class="c1"># Separate the data into features and targets</span>
<span class="n">target_fields</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">,</span> <span class="s1">&#39;casual&#39;</span><span class="p">,</span> <span class="s1">&#39;registered&#39;</span><span class="p">]</span>
<span class="n">features</span><span class="p">,</span> <span class="n">targets</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">target_fields</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="p">[</span><span class="n">target_fields</span><span class="p">]</span>
<span class="n">test_features</span><span class="p">,</span> <span class="n">test_targets</span> <span class="o">=</span> <span class="n">test_data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">target_fields</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span> <span class="n">test_data</span><span class="p">[</span><span class="n">target_fields</span><span class="p">]</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>We'll split the data into two sets, one for training and one for validating as the network is being trained. Since this is time series data, we'll train on historical data, then try to predict on future data (the validation set).</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[25]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Hold out the last 60 days of the remaining data as a validation set</span>
<span class="n">train_features</span><span class="p">,</span> <span class="n">train_targets</span> <span class="o">=</span> <span class="n">features</span><span class="p">[:</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">],</span> <span class="n">targets</span><span class="p">[:</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">]</span>
<span class="n">val_features</span><span class="p">,</span> <span class="n">val_targets</span> <span class="o">=</span> <span class="n">features</span><span class="p">[</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">:],</span> <span class="n">targets</span><span class="p">[</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">:]</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Time-to-build-the-network">Time to build the network<a class="anchor-link" href="#Time-to-build-the-network">&#182;</a></h2><p>Below you'll build your network. We've built out the structure and the backwards pass. You'll implement the forward pass through the network. You'll also set the hyperparameters: the learning rate, the number of hidden units, and the number of training passes.</p>
<p>The network has two layers, a hidden layer and an output layer. The hidden layer will use the sigmoid function for activations. The output layer has only one node and is used for the regression, the output of the node is the same as the input of the node. That is, the activation function is $f(x)=x$. A function that takes the input signal and generates an output signal, but takes into account the threshold, is called an activation function. We work through each layer of our network calculating the outputs for each neuron. All of the outputs from one layer become inputs to the neurons on the next layer. This process is called <em>forward propagation</em>.</p>
<p>We use the weights to propagate signals forward from the input to the output layers in a neural network. We use the weights to also propagate error backwards from the output back into the network to update our weights. This is called <em>backpropagation</em>.</p>
<blockquote><p><strong>Hint:</strong> You'll need the derivative of the output activation function ($f(x) = x$) for the backpropagation implementation. If you aren't familiar with calculus, this function is equivalent to the equation $y = x$. What is the slope of that equation? That is the derivative of $f(x)$.</p>
</blockquote>
<p>Below, you have these tasks:</p>
<ol>
<li>Implement the sigmoid function to use as the activation function. Set <code>self.activation_function</code> in <code>__init__</code> to your sigmoid function.</li>
<li>Implement the forward pass in the <code>train</code> method.</li>
<li>Implement the backpropagation algorithm in the <code>train</code> method, including calculating the output error.</li>
<li>Implement the forward pass in the <code>run</code> method.</li>
</ol>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[26]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">NeuralNetwork</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
    <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_nodes</span><span class="p">,</span> <span class="n">hidden_nodes</span><span class="p">,</span> <span class="n">output_nodes</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">):</span>
        <span class="c1"># Set number of nodes in input, hidden and output layers.</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">input_nodes</span> <span class="o">=</span> <span class="n">input_nodes</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span> <span class="o">=</span> <span class="n">hidden_nodes</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span> <span class="o">=</span> <span class="n">output_nodes</span>

        <span class="c1"># Initialize weights</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</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">normal</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="o">**-</span><span class="mf">0.5</span><span class="p">,</span> 
                                       <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_nodes</span><span class="p">))</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</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">normal</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span><span class="o">**-</span><span class="mf">0.5</span><span class="p">,</span> 
                                       <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="p">))</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">=</span> <span class="n">learning_rate</span>
        
        <span class="c1">#### Set this to your implemented sigmoid function ####</span>
        <span class="c1"># Activation function is the sigmoid function</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">activation_function</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">__sigmoid</span>
        
   
    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs_list</span><span class="p">,</span> <span class="n">targets_list</span><span class="p">):</span>
        <span class="c1"># Convert inputs list to 2d array</span>
        <span class="n">inputs</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">inputs_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
        <span class="n">targets</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">targets_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
        
        <span class="c1">#### Implement the forward pass here ####</span>
        <span class="c1">### Forward pass ###</span>
        <span class="c1"># TODO: Hidden layer</span>
        <span class="n">hidden_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="p">,</span><span class="n">inputs</span><span class="p">)</span>  <span class="c1"># signals into hidden layer</span>
        <span class="n">hidden_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">__sigmoid</span><span class="p">(</span><span class="n">hidden_inputs</span><span class="p">)</span><span class="c1"># signals from hidden layer</span>
        
        <span class="c1"># TODO: Output layer</span>
        <span class="n">final_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="p">,</span><span class="n">hidden_outputs</span><span class="p">)</span> <span class="c1"># signals into final output layer</span>
        <span class="n">final_outputs</span> <span class="o">=</span> <span class="n">final_inputs</span><span class="c1"># signals from final output layer</span>
        
        <span class="c1">#### Implement the backward pass here ####</span>
        <span class="c1">### Backward pass ###</span>
        
        <span class="c1"># TODO: Output error</span>
        <span class="n">output_errors</span> <span class="o">=</span> <span class="n">targets</span> <span class="o">-</span> <span class="n">final_outputs</span> <span class="c1"># Output layer error is the difference between desired target and actual output. </span>
        
        <span class="c1"># TODO: Backpropagated error</span>
        <span class="n">hidden_errors</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="o">.</span><span class="n">T</span><span class="p">,</span> <span class="n">output_errors</span><span class="p">)</span><span class="c1"># errors propagated to the hidden layer</span>
        <span class="n">hidden_grad</span> <span class="o">=</span>  <span class="n">hidden_outputs</span> <span class="o">*</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">hidden_outputs</span><span class="p">)</span>
        
        <span class="c1"># TODO: Update the weights</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">output_errors</span><span class="p">,</span> <span class="n">hidden_outputs</span><span class="o">.</span><span class="n">T</span><span class="p">)</span> <span class="c1"># update hidden-to-output weights with gradient descent step</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr</span><span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="n">hidden_errors</span> <span class="o">*</span> <span class="n">hidden_grad</span><span class="p">,</span> <span class="n">inputs</span><span class="o">.</span><span class="n">T</span><span class="p">)</span><span class="c1"># update input-to-hidden weights with gradient descent step</span>
 
        
    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs_list</span><span class="p">):</span>
        <span class="c1"># Run a forward pass through the network</span>
        <span class="n">inputs</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">inputs_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
        
        <span class="c1">#### Implement the forward pass here ####</span>
        <span class="c1"># TODO: Hidden layer</span>
        <span class="n">hidden_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="p">,</span><span class="n">inputs</span><span class="p">)</span>  <span class="c1"># signals into hidden layer</span>
        <span class="n">hidden_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">__sigmoid</span><span class="p">(</span><span class="n">hidden_inputs</span><span class="p">)</span><span class="c1"># signals from hidden layer</span>
        
        <span class="c1"># TODO: Output layer</span>
        <span class="n">final_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="p">,</span><span class="n">hidden_outputs</span><span class="p">)</span> <span class="c1"># signals into final output layer</span>
        <span class="n">final_outputs</span> <span class="o">=</span> <span class="n">final_inputs</span><span class="c1"># signals from final output layer</span>
        
        <span class="k">return</span> <span class="n">final_outputs</span>
   
    <span class="k">def</span> <span class="nf">__sigmoid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="k">return</span> <span class="mi">1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">x</span><span class="p">))</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[27]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">MSE</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">Y</span><span class="p">):</span>
    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">((</span><span class="n">y</span><span class="o">-</span><span class="n">Y</span><span class="p">)</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Training-the-network">Training the network<a class="anchor-link" href="#Training-the-network">&#182;</a></h2><p>Here you'll set the hyperparameters for the network. The strategy here is to find hyperparameters such that the error on the training set is low, but you're not overfitting to the data. If you train the network too long or have too many hidden nodes, it can become overly specific to the training set and will fail to generalize to the validation set. That is, the loss on the validation set will start increasing as the training set loss drops.</p>
<p>You'll also be using a method know as Stochastic Gradient Descent (SGD) to train the network. The idea is that for each training pass, you grab a random sample of the data instead of using the whole data set. You use many more training passes than with normal gradient descent, but each pass is much faster. This ends up training the network more efficiently. You'll learn more about SGD later.</p>
<h3 id="Choose-the-number-of-epochs">Choose the number of epochs<a class="anchor-link" href="#Choose-the-number-of-epochs">&#182;</a></h3><p>This is the number of times the dataset will pass through the network, each time updating the weights. As the number of epochs increases, the network becomes better and better at predicting the targets in the training set. You'll need to choose enough epochs to train the network well but not too many or you'll be overfitting.</p>
<h3 id="Choose-the-learning-rate">Choose the learning rate<a class="anchor-link" href="#Choose-the-learning-rate">&#182;</a></h3><p>This scales the size of weight updates. If this is too big, the weights tend to explode and the network fails to fit the data. A good choice to start at is 0.1. If the network has problems fitting the data, try reducing the learning rate. Note that the lower the learning rate, the smaller the steps are in the weight updates and the longer it takes for the neural network to converge.</p>
<h3 id="Choose-the-number-of-hidden-nodes">Choose the number of hidden nodes<a class="anchor-link" href="#Choose-the-number-of-hidden-nodes">&#182;</a></h3><p>The more hidden nodes you have, the more accurate predictions the model will make. Try a few different numbers and see how it affects the performance. You can look at the losses dictionary for a metric of the network performance. If the number of hidden units is too low, then the model won't have enough space to learn and if it is too high there are too many options for the direction that the learning can take. The trick here is to find the right balance in number of hidden units you choose.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[28]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">sys</span>

<span class="c1">### Set the hyperparameters here ###</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">1000</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.05</span>
<span class="n">hidden_nodes</span> <span class="o">=</span> <span class="mi">50</span>
<span class="n">output_nodes</span> <span class="o">=</span> <span class="mi">1</span>

<span class="n">N_i</span> <span class="o">=</span> <span class="n">train_features</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="n">N_i</span><span class="p">,</span> <span class="n">hidden_nodes</span><span class="p">,</span> <span class="n">output_nodes</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">)</span>

<span class="n">losses</span> <span class="o">=</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="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="c1"># Go through a random batch of 128 records from the training data set</span>
    <span class="n">batch</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">choice</span><span class="p">(</span><span class="n">train_features</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">record</span><span class="p">,</span> <span class="n">target</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">train_features</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">batch</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> 
                              <span class="n">train_targets</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">batch</span><span class="p">][</span><span class="s1">&#39;cnt&#39;</span><span class="p">]):</span>
        <span class="n">network</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">record</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
    
    <span class="c1"># Printing out the training progress</span>
    <span class="n">train_loss</span> <span class="o">=</span> <span class="n">MSE</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">train_features</span><span class="p">),</span> <span class="n">train_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
    <span class="n">val_loss</span> <span class="o">=</span> <span class="n">MSE</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">val_features</span><span class="p">),</span> <span class="n">val_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
    <span class="n">sys</span><span class="o">.</span><span class="n">stdout</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\r</span><span class="s2">Progress: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">e</span><span class="o">/</span><span class="nb">float</span><span class="p">(</span><span class="n">epochs</span><span class="p">))[:</span><span class="mi">4</span><span class="p">]</span> \
                     <span class="o">+</span> <span class="s2">&quot;% ... Training loss: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)[:</span><span class="mi">5</span><span class="p">]</span> \
                     <span class="o">+</span> <span class="s2">&quot; ... Validation loss: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">val_loss</span><span class="p">)[:</span><span class="mi">5</span><span class="p">])</span>
    
    <span class="n">losses</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)</span>
    <span class="n">losses</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">val_loss</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>Progress: 99.9% ... Training loss: 0.076 ... Validation loss: 0.201</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[29]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">losses</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Training 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">losses</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Validation loss&#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="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="n">ymax</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt output_prompt">Out[29]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>(-0.0037838501213814102, 0.5)</pre>
</div>

</div>

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAusAAAH4CAYAAADzU6OVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=373
height=252
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Check-out-your-predictions">Check out your predictions<a class="anchor-link" href="#Check-out-your-predictions">&#182;</a></h2><p>Here, use the test data to view how well your network is modeling the data. If something is completely wrong here, make sure each step in your network is implemented correctly.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[30]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>

<span class="n">mean</span><span class="p">,</span> <span class="n">std</span> <span class="o">=</span> <span class="n">scaled_features</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span>
<span class="n">predictions</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">test_features</span><span class="p">)</span><span class="o">*</span><span class="n">std</span> <span class="o">+</span> <span class="n">mean</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">predictions</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Prediction&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="n">test_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">*</span><span class="n">std</span> <span class="o">+</span> <span class="n">mean</span><span class="p">)</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Data&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">right</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">predictions</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>

<span class="n">dates</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">rides</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">test_data</span><span class="o">.</span><span class="n">index</span><span class="p">][</span><span class="s1">&#39;dteday&#39;</span><span class="p">])</span>
<span class="n">dates</span> <span class="o">=</span> <span class="n">dates</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">d</span><span class="p">:</span> <span class="n">d</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%b </span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">dates</span><span class="p">))[</span><span class="mi">12</span><span class="p">::</span><span class="mi">24</span><span class="p">])</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">dates</span><span class="p">[</span><span class="mi">12</span><span class="p">::</span><span class="mi">24</span><span class="p">],</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA+0AAAIgCAYAAADwRojNAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=502
height=272
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Thinking-about-your-results">Thinking about your results<a class="anchor-link" href="#Thinking-about-your-results">&#182;</a></h2><p>Answer these questions about your results. How well does the model predict the data? Where does it fail? Why does it fail where it does?</p>
<blockquote><p><strong>Note:</strong> You can edit the text in this cell by double clicking on it. When you want to render the text, press control + enter</p>
</blockquote>
<h4 id="Your-answer-below">Your answer below<a class="anchor-link" href="#Your-answer-below">&#182;</a></h4><p>In general model predicts the data correctly. But the most problems the model has in holidays time. The model predicts  a much bigger number riders than it actually is. To remove it we should train the model more in period of such days as Christmas, New Year and others.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Unit-tests">Unit tests<a class="anchor-link" href="#Unit-tests">&#182;</a></h2><p>Run these unit tests to check the correctness of your network implementation. These tests must all be successful to pass the project.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[31]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">unittest</span>

<span class="n">inputs</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">]</span>
<span class="n">targets</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.4</span><span class="p">]</span>
<span class="n">test_w_i_h</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="mf">0.1</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.3</span><span class="p">],</span> 
                       <span class="p">[</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">]])</span>
<span class="n">test_w_h_o</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="mf">0.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">]])</span>

<span class="k">class</span> <span class="nc">TestMethods</span><span class="p">(</span><span class="n">unittest</span><span class="o">.</span><span class="n">TestCase</span><span class="p">):</span>
    
    <span class="c1">##########</span>
    <span class="c1"># Unit tests for data loading</span>
    <span class="c1">##########</span>
    
    <span class="k">def</span> <span class="nf">test_data_path</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="c1"># Test that file path to dataset has been unaltered</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;bike-sharing-dataset/hour.csv&#39;</span><span class="p">)</span>
        
    <span class="k">def</span> <span class="nf">test_data_loaded</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="c1"># Test that data frame loaded</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">rides</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="c1">##########</span>
    <span class="c1"># Unit tests for network functionality</span>
    <span class="c1">##########</span>

    <span class="k">def</span> <span class="nf">test_activation</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
        <span class="c1"># Test that the activation function is a sigmoid</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">activation_function</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span><span class="p">))))</span>

    <span class="k">def</span> <span class="nf">test_train</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="c1"># Test that weights are updated correctly on training</span>
        <span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
        <span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">=</span> <span class="n">test_w_i_h</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
        <span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">=</span> <span class="n">test_w_h_o</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
        
        <span class="n">network</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">targets</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="p">,</span> 
                                    <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span> <span class="mf">0.37275328</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.03172939</span><span class="p">]])))</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="p">,</span>
                                    <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span> <span class="mf">0.10562014</span><span class="p">,</span>  <span class="mf">0.39775194</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.29887597</span><span class="p">],</span>
                                              <span class="p">[</span><span class="o">-</span><span class="mf">0.20185996</span><span class="p">,</span>  <span class="mf">0.50074398</span><span class="p">,</span>  <span class="mf">0.19962801</span><span class="p">]])))</span>

    <span class="k">def</span> <span class="nf">test_run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="c1"># Test correctness of run method</span>
        <span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
        <span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">=</span> <span class="n">test_w_i_h</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
        <span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">=</span> <span class="n">test_w_h_o</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">inputs</span><span class="p">),</span> <span class="mf">0.09998924</span><span class="p">))</span>

<span class="n">suite</span> <span class="o">=</span> <span class="n">unittest</span><span class="o">.</span><span class="n">TestLoader</span><span class="p">()</span><span class="o">.</span><span class="n">loadTestsFromModule</span><span class="p">(</span><span class="n">TestMethods</span><span class="p">())</span>
<span class="n">unittest</span><span class="o">.</span><span class="n">TextTestRunner</span><span class="p">()</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">suite</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area"><div class="prompt"></div>
<div class="output_subarea output_stream output_stderr output_text">
<pre>.....
----------------------------------------------------------------------
Ran 5 tests in 0.012s

OK
</pre>
</div>
</div>

<div class="output_area"><div class="prompt output_prompt">Out[31]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;unittest.runner.TextTestResult run=5 errors=0 failures=0&gt;</pre>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[&nbsp;]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span> 
</pre></div>

</div>
</div>
</div>

</div>
    </div>
  </div>
</body>
</html>