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;[1]:</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;[3]:</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;[4]:</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[4]:</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;[5]:</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[5]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x10e118518&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;[6]:</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[6]:</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;[7]:</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;[8]:</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;[9]:</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;[10]:</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">__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>
    
    <span class="k">def</span> <span class="nf">__sigmoid_derivative</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="n">x</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">x</span><span class="p">)</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">activation_function</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"># f(x) = x</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="p">(</span><span class="n">targets</span> <span class="o">-</span> <span class="n">final_outputs</span><span class="p">)</span> <span class="c1"># Output layer error is the difference between desired target and actual output.</span>
                                                <span class="c1"># (y -  y^) * f&#39;(x)</span>
        <span class="n">output_grad</span> <span class="o">=</span> <span class="mi">1</span>    
        <span class="n">output_errors_grad</span> <span class="o">=</span> <span class="n">output_errors</span> <span class="o">*</span> <span class="n">output_grad</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="bp">self</span><span class="o">.</span><span class="n">__sigmoid_derivative</span><span class="p">(</span><span class="n">hidden_outputs</span><span class="p">)</span> <span class="c1"># hidden layer gradients</span>
                                                            <span class="c1"># f&#39;(x) = f(x) * (1 - f(x))</span>
        <span class="n">hidden_errors_grad</span> <span class="o">=</span> <span class="n">hidden_errors</span> <span class="o">*</span> <span class="n">hidden_grad</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_grad</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="c1"># learn rate x output err grad x hidden unit activation f(x)</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_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="c1"># learn rate x hid err grad x inputs</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">activation_function</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> 
</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;[11]:</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;[18]:</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">2000</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.025</span>
<span class="n">hidden_nodes</span> <span class="o">=</span> <span class="mi">30</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: 0.060 ... Validation loss: 0.155</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;[19]:</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[19]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>(0.00048807305236903131, 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;[20]:</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>For majority of the days in December 2016 (11th to 21st), the model gives a good fit - prediction plot matches data plot nicely. The disparity begins on 23rd December. I suspect this behavior and the low rentals to be linked to the festive period (X'mas &amp; New Year's Day).</p>
<p>*Run #1
epochs = 2000
learning_rate = 0.1
hidden_nodes = 6
output_nodes = 1</p>
<p>Training loss: 0.062 ... Validation loss: 0.146
Output: (-0.001285932990188747, 0.5)</p>
<p>*Run #2
epochs = 2000
learning_rate = 0.1
hidden_nodes = 30
output_nodes = 1</p>
<p>Training loss: 0.072 ... Validation loss: 0.144
Output: (-0.0030008411636736898, 0.5)</p>
<p>*Run #3
epochs = 2000
learning_rate = 0.025
hidden_nodes = 30
output_nodes = 1</p>
<p>Training loss: 0.060 ... Validation loss: 0.155
Outpit: (0.00048807305236903131, 0.5)</p>
<p>My observation is the by increasing the number of nodes in the hidden layer, it improves the prediction slightly (Run #1 vs Run #2). As for the comparison (Run #2 vs Run #3), the one with a higher learning gives a better prediction. Additionally, the the error loss reduces at a faster rate than the one with a lower learning rate.</p>
<p>Could anyone clarify what the data for output under the graph #1 represents?
ie Output: (-0.001285932990188747, 0.5)</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;[21]:</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 0.057s

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

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