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;[2]:</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;[3]:</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[3]:</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 or so in the data set. (Some days don't have exactly 24 entries in the data set, so it's not exactly 10 days.) 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;[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="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[4]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x2f581c4ecf8&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;[5]:</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[5]:</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;[6]:</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 data for the last approximately 21 days 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;[7]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Save data for approximately 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="c1"># Now remove the test data from the data set </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;[8]:</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 or so 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>&lt;img src="assets/neural_network.png" width=300px&gt;</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;[19]:</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">input_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">input_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="c1"># 3x2</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">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">output_nodes</span><span class="p">))</span>
        <span class="c1">#2x1</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">#### TODO: Set self.activation_function to your implemented sigmoid function ####</span>
        <span class="c1">#</span>
        <span class="c1"># Note: in Python, you can define a function with a lambda expression,</span>
        <span class="c1"># as shown below.</span>
       <span class="c1"># self.activation_function = lambda x : 0  # Replace 0 with your sigmoid calculation.</span>
        
        <span class="c1">### If the lambda code above is not something you&#39;re familiar with,</span>
        <span class="c1"># You can uncomment out the following three lines and put your </span>
        <span class="c1"># implementation there instead.</span>
        <span class="c1">#</span>
        <span class="k">def</span> <span class="nf">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">):</span> <span class="c1"># added self to variables</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="c1"># Replace 0 with your sigmoid calculation here</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">activation_function</span> <span class="o">=</span> <span class="n">sigmoid</span>
                    
    
    <span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">targets</span><span class="p">):</span>
        <span class="sd">&#39;&#39;&#39; Train the network on batch of features and targets. </span>
<span class="sd">        </span>
<span class="sd">            Arguments</span>
<span class="sd">            ---------</span>
<span class="sd">            </span>
<span class="sd">            features: 2D array, each row is one data record, each column is a feature</span>
<span class="sd">            targets: 1D array of target values</span>
<span class="sd">        </span>
<span class="sd">        &#39;&#39;&#39;</span>
        <span class="n">n_records</span> <span class="o">=</span> <span class="n">features</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
        <span class="n">delta_weights_i_h</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
        <span class="c1"># (3,2)</span>
        <span class="n">delta_weights_h_o</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
        <span class="c1"># (2,)</span>
        <span class="k">for</span> <span class="n">X</span><span class="p">,</span> <span class="n">y</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">targets</span><span class="p">):</span>
            <span class="c1">#### Implement the forward pass here ####</span>
            <span class="c1">### Forward pass ###</span>
            <span class="c1"># TODO: Hidden layer - Replace these values with your calculations.</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="n">X</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="c1"># signals into hidden layer</span>
            <span class="c1">#  (2,)                  (3,)   (3,2)</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"># (2,)</span>

            <span class="c1"># TODO: Output layer - Replace these values with your calculations.</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="n">hidden_outputs</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="c1"># signals into final output layer</span>
            <span class="c1"># (2,)                  (2,)                (2,1)</span>

            <span class="n">final_outputs</span> <span class="o">=</span>  <span class="mf">1.0</span> <span class="o">*</span><span class="p">(</span><span class="n">final_inputs</span><span class="p">)</span> <span class="c1"># signals from final output layer</span>
            <span class="c1">#  (1,)</span>
            
            <span class="c1">#### Implement the backward pass here ####</span>
            <span class="c1">### Backward pass ###</span>

            <span class="c1"># TODO: Output error - Replace this value with your calculations.</span>
            <span class="n">error</span> <span class="o">=</span> <span class="n">y</span> <span class="o">-</span> <span class="n">final_outputs</span>  <span class="c1">## </span>
            <span class="c1"># (1,)</span>
            <span class="c1"># Output layer error is the difference between desired target and actual output.</span>
            
            <span class="c1"># TODO: Calculate the hidden layer&#39;s contribution to the error</span>
            <span class="n">hidden_error</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">error</span><span class="p">)</span>
            <span class="c1">#   (2,)                    (2,1)                       (1,)</span>

            <span class="c1"># TODO: Backpropagated error terms - Replace these values with your calculations.</span>
            <span class="n">output_error_term</span> <span class="o">=</span> <span class="n">error</span> <span class="o">*</span> <span class="mf">1.0</span> <span class="c1">#error * final_outputs * (1 - final_outputs)</span>
            <span class="c1">#  (1,)</span>
            <span class="n">hidden_error_term</span> <span class="o">=</span> <span class="n">hidden_error</span> <span class="o">*</span> <span class="n">hidden_outputs</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.0</span> <span class="o">-</span> <span class="n">hidden_outputs</span><span class="p">)</span>
            <span class="c1"># (2,)                  (2,)          (2,)                 (2,)</span>
            

            <span class="c1"># Weight step (input to hidden)</span>
            <span class="n">delta_weights_i_h</span> <span class="o">+=</span> <span class="p">(</span><span class="n">hidden_error_term</span> <span class="o">*</span> <span class="n">X</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">])</span>
            <span class="c1"># (3,2)                   (2,)                (2,)</span>
            
            <span class="c1"># Weight step (hidden to output)</span>
            <span class="n">delta_weights_h_o</span> <span class="o">+=</span> <span class="n">output_error_term</span> <span class="o">*</span> <span class="n">hidden_outputs</span><span class="p">[:,</span> <span class="kc">None</span><span class="p">]</span>
            <span class="c1"># (2,1)                    (1,)            (2,)</span>

        <span class="c1"># TODO: Update the weights - Replace these values with your calculations.</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">delta_weights_h_o</span> <span class="o">/</span> <span class="n">n_records</span> 
        <span class="c1"># update hidden-to-output weights with gradient descent step</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">*</span> <span class="n">delta_weights_i_h</span> <span class="o">/</span> <span class="n">n_records</span> 
        <span class="c1"># update input-to-hidden weights with gradient descent step</span>
 
    <span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
        <span class="sd">&#39;&#39;&#39; Run a forward pass through the network with input features </span>
<span class="sd">        </span>
<span class="sd">            Arguments</span>
<span class="sd">            ---------</span>
<span class="sd">            features: 1D array of feature values</span>
<span class="sd">        &#39;&#39;&#39;</span>
        
        <span class="c1">#### Implement the forward pass here ####</span>
        <span class="c1"># TODO: Hidden layer - replace these values with the appropriate calculations.</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="n">features</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="c1"># signals into hidden layer</span>
                <span class="c1">##  Had to change X to features for the test run because it uses different data source</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 - Replace these values with the appropriate calculations.</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="n">hidden_outputs</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="c1"># signals into final output layer</span>
        <span class="n">final_outputs</span> <span class="o">=</span>  <span class="mf">1.0</span> <span class="o">*</span> <span class="p">(</span><span class="n">final_inputs</span><span class="p">)</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;[20]:</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="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. This will help you be sure your network was implemented correctly befor you starting trying to train it. 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="n">np</span><span class="o">.</span><span class="n">array</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="n">np</span><span class="o">.</span><span class="n">array</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="o">-</span><span class="mf">0.2</span><span class="p">],</span>
                       <span class="p">[</span><span class="mf">0.4</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">],</span>
                       <span class="p">[</span><span class="o">-</span><span class="mf">0.3</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="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="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="o">-</span><span class="mf">0.20185996</span><span class="p">],</span> 
                                              <span class="p">[</span><span class="mf">0.39775194</span><span class="p">,</span> <span class="mf">0.50074398</span><span class="p">],</span> 
                                              <span class="p">[</span><span class="o">-</span><span class="mf">0.29887597</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 0.014s

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 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-iterations">Choose the number of iterations<a class="anchor-link" href="#Choose-the-number-of-iterations">&#182;</a></h3><p>This is the number of batches of samples from the training data we'll use to train the network. The more iterations you use, the better the model will fit the data. However, if you use too many iterations, then the model with not generalize well to other data, this is called overfitting. You want to find a number here where the network has a low training loss, and the validation loss is at a minimum. As you start overfitting, you'll see the training loss continue to decrease while the validation loss starts to increase.</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;[37]:</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">iterations</span> <span class="o">=</span> <span class="mi">500</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.5</span>
<span class="n">hidden_nodes</span> <span class="o">=</span> <span class="mi">10</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">ii</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">iterations</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="n">X</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</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">X</span><span class="p">,</span> <span class="n">y</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="o">.</span><span class="n">T</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="o">.</span><span class="n">T</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: </span><span class="si">{:2.1f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">ii</span><span class="o">/</span><span class="nb">float</span><span class="p">(</span><span class="n">iterations</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">sys</span><span class="o">.</span><span class="n">stdout</span><span class="o">.</span><span class="n">flush</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: 99.8% ... Training loss: 0.271 ... Validation loss: 0.438</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;[38]:</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">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">ylim</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,iVBORw0KGgoAAAANSUhEUgAAAusAAAH0CAYAAACEkWPuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=373
height=250
>
</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;[40]:</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">T</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="OPTIONAL:-Thinking-about-your-results(this-question-will-not-be-evaluated-in-the-rubric).">OPTIONAL: Thinking about your results(this question will not be evaluated in the rubric).<a class="anchor-link" href="#OPTIONAL:-Thinking-about-your-results(this-question-will-not-be-evaluated-in-the-rubric).">&#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>
</div>
</div>
</div>
    </div>
  </div>
</body>
</html>