first_neural_network.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>Your_first_neural_network</title><script type="text/javascript" src="http://ff.kis.v2.scr.kaspersky-labs.com/46731C3C-D62B-5641-97E5-EB8167FD6A56/main.js" charset="UTF-8"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

<style type="text/css">
    /*!
*
* Twitter Bootstrap
*
*/
/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
  display: none;
  height: 0;
}
[hidden],
template {
  display: none;
}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
  font-weight: bold;
}
dfn {
  font-style: italic;
}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
  font-size: 80%;
}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
  border: 0;
}
svg:not(:root) {
  overflow: hidden;
}
figure {
  margin: 1em 40px;
}
hr {
  box-sizing: content-box;
  height: 0;
}
pre {
  overflow: auto;
}
code,
kbd,
pre,
samp {
  font-family: monospace, monospace;
  font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
  color: inherit;
  font: inherit;
  margin: 0;
}
button {
  overflow: visible;
}
button,
select {
  text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
  cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
  border: 0;
  padding: 0;
}
input {
  line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
  box-sizing: border-box;
  padding: 0;
}
input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: textfield;
  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
  -webkit-appearance: none;
}
fieldset {
  border: 1px solid #c0c0c0;
  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
  border: 0;
  padding: 0;
}
textarea {
  overflow: auto;
}
optgroup {
  font-weight: bold;
}
table {
  border-collapse: collapse;
  border-spacing: 0;
}
td,
th {
  padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !important;
    color: #000 !important;
    box-shadow: none !important;
    text-shadow: none !important;
  }
  a,
  a:visited {
    text-decoration: underline;
  }
  a[href]:after {
    content: " (" attr(href) ")";
  }
  abbr[title]:after {
    content: " (" attr(title) ")";
  }
  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
  }
  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
  }
  thead {
    display: table-header-group;
  }
  tr,
  img {
    page-break-inside: avoid;
  }
  img {
    max-width: 100% !important;
  }
  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
  }
  h2,
  h3 {
    page-break-after: avoid;
  }
  .navbar {
    display: none;
  }
  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
  }
  .label {
    border: 1px solid #000;
  }
  .table {
    border-collapse: collapse !important;
  }
  .table td,
  .table th {
    background-color: #fff !important;
  }
  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !important;
  }
}
@font-face {
  font-family: 'Glyphicons Halflings';
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
  position: relative;
  top: 1px;
  display: inline-block;
  font-family: 'Glyphicons Halflings';
  font-style: normal;
  font-weight: normal;
  line-height: 1;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
.glyphicon-asterisk:before {
  content: "\002a";
}
.glyphicon-plus:before {
  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
.glyphicon-cloud:before {
  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
  content: "\270f";
}
.glyphicon-glass:before {
  content: "\e001";
}
.glyphicon-music:before {
  content: "\e002";
}
.glyphicon-search:before {
  content: "\e003";
}
.glyphicon-heart:before {
  content: "\e005";
}
.glyphicon-star:before {
  content: "\e006";
}
.glyphicon-star-empty:before {
  content: "\e007";
}
.glyphicon-user:before {
  content: "\e008";
}
.glyphicon-film:before {
  content: "\e009";
}
.glyphicon-th-large:before {
  content: "\e010";
}
.glyphicon-th:before {
  content: "\e011";
}
.glyphicon-th-list:before {
  content: "\e012";
}
.glyphicon-ok:before {
  content: "\e013";
}
.glyphicon-remove:before {
  content: "\e014";
}
.glyphicon-zoom-in:before {
  content: "\e015";
}
.glyphicon-zoom-out:before {
  content: "\e016";
}
.glyphicon-off:before {
  content: "\e017";
}
.glyphicon-signal:before {
  content: "\e018";
}
.glyphicon-cog:before {
  content: "\e019";
}
.glyphicon-trash:before {
  content: "\e020";
}
.glyphicon-home:before {
  content: "\e021";
}
.glyphicon-file:before {
  content: "\e022";
}
.glyphicon-time:before {
  content: "\e023";
}
.glyphicon-road:before {
  content: "\e024";
}
.glyphicon-download-alt:before {
  content: "\e025";
}
.glyphicon-download:before {
  content: "\e026";
}
.glyphicon-upload:before {
  content: "\e027";
}
.glyphicon-inbox:before {
  content: "\e028";
}
.glyphicon-play-circle:before {
  content: "\e029";
}
.glyphicon-repeat:before {
  content: "\e030";
}
.glyphicon-refresh:before {
  content: "\e031";
}
.glyphicon-list-alt:before {
  content: "\e032";
}
.glyphicon-lock:before {
  content: "\e033";
}
.glyphicon-flag:before {
  content: "\e034";
}
.glyphicon-headphones:before {
  content: "\e035";
}
.glyphicon-volume-off:before {
  content: "\e036";
}
.glyphicon-volume-down:before {
  content: "\e037";
}
.glyphicon-volume-up:before {
  content: "\e038";
}
.glyphicon-qrcode:before {
  content: "\e039";
}
.glyphicon-barcode:before {
  content: "\e040";
}
.glyphicon-tag:before {
  content: "\e041";
}
.glyphicon-tags:before {
  content: "\e042";
}
.glyphicon-book:before {
  content: "\e043";
}
.glyphicon-bookmark:before {
  content: "\e044";
}
.glyphicon-print:before {
  content: "\e045";
}
.glyphicon-camera:before {
  content: "\e046";
}
.glyphicon-font:before {
  content: "\e047";
}
.glyphicon-bold:before {
  content: "\e048";
}
.glyphicon-italic:before {
  content: "\e049";
}
.glyphicon-text-height:before {
  content: "\e050";
}
.glyphicon-text-width:before {
  content: "\e051";
}
.glyphicon-align-left:before {
  content: "\e052";
}
.glyphicon-align-center:before {
  content: "\e053";
}
.glyphicon-align-right:before {
  content: "\e054";
}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
  content: "\e056";
}
.glyphicon-indent-left:before {
  content: "\e057";
}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
  content: "\e059";
}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
  content: "\e062";
}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
  content: "\e064";
}
.glyphicon-edit:before {
  content: "\e065";
}
.glyphicon-share:before {
  content: "\e066";
}
.glyphicon-check:before {
  content: "\e067";
}
.glyphicon-move:before {
  content: "\e068";
}
.glyphicon-step-backward:before {
  content: "\e069";
}
.glyphicon-fast-backward:before {
  content: "\e070";
}
.glyphicon-backward:before {
  content: "\e071";
}
.glyphicon-play:before {
  content: "\e072";
}
.glyphicon-pause:before {
  content: "\e073";
}
.glyphicon-stop:before {
  content: "\e074";
}
.glyphicon-forward:before {
  content: "\e075";
}
.glyphicon-fast-forward:before {
  content: "\e076";
}
.glyphicon-step-forward:before {
  content: "\e077";
}
.glyphicon-eject:before {
  content: "\e078";
}
.glyphicon-chevron-left:before {
  content: "\e079";
}
.glyphicon-chevron-right:before {
  content: "\e080";
}
.glyphicon-plus-sign:before {
  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
  content: "\e083";
}
.glyphicon-ok-sign:before {
  content: "\e084";
}
.glyphicon-question-sign:before {
  content: "\e085";
}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
  content: "\e087";
}
.glyphicon-remove-circle:before {
  content: "\e088";
}
.glyphicon-ok-circle:before {
  content: "\e089";
}
.glyphicon-ban-circle:before {
  content: "\e090";
}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
  content: "\e092";
}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
  content: "\e095";
}
.glyphicon-resize-full:before {
  content: "\e096";
}
.glyphicon-resize-small:before {
  content: "\e097";
}
.glyphicon-exclamation-sign:before {
  content: "\e101";
}
.glyphicon-gift:before {
  content: "\e102";
}
.glyphicon-leaf:before {
  content: "\e103";
}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
  content: "\e106";
}
.glyphicon-warning-sign:before {
  content: "\e107";
}
.glyphicon-plane:before {
  content: "\e108";
}
.glyphicon-calendar:before {
  content: "\e109";
}
.glyphicon-random:before {
  content: "\e110";
}
.glyphicon-comment:before {
  content: "\e111";
}
.glyphicon-magnet:before {
  content: "\e112";
}
.glyphicon-chevron-up:before {
  content: "\e113";
}
.glyphicon-chevron-down:before {
  content: "\e114";
}
.glyphicon-retweet:before {
  content: "\e115";
}
.glyphicon-shopping-cart:before {
  content: "\e116";
}
.glyphicon-folder-close:before {
  content: "\e117";
}
.glyphicon-folder-open:before {
  content: "\e118";
}
.glyphicon-resize-vertical:before {
  content: "\e119";
}
.glyphicon-resize-horizontal:before {
  content: "\e120";
}
.glyphicon-hdd:before {
  content: "\e121";
}
.glyphicon-bullhorn:before {
  content: "\e122";
}
.glyphicon-bell:before {
  content: "\e123";
}
.glyphicon-certificate:before {
  content: "\e124";
}
.glyphicon-thumbs-up:before {
  content: "\e125";
}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
.glyphicon-hand-down:before {
  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
  content: "\e131";
}
.glyphicon-circle-arrow-left:before {
  content: "\e132";
}
.glyphicon-circle-arrow-up:before {
  content: "\e133";
}
.glyphicon-circle-arrow-down:before {
  content: "\e134";
}
.glyphicon-globe:before {
  content: "\e135";
}
.glyphicon-wrench:before {
  content: "\e136";
}
.glyphicon-tasks:before {
  content: "\e137";
}
.glyphicon-filter:before {
  content: "\e138";
}
.glyphicon-briefcase:before {
  content: "\e139";
}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
  content: "\e144";
}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
  content: "\e149";
}
.glyphicon-sort:before {
  content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
  content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
  content: "\e152";
}
.glyphicon-sort-by-order:before {
  content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
  content: "\e154";
}
.glyphicon-sort-by-attributes:before {
  content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
  content: "\e156";
}
.glyphicon-unchecked:before {
  content: "\e157";
}
.glyphicon-expand:before {
  content: "\e158";
}
.glyphicon-collapse-down:before {
  content: "\e159";
}
.glyphicon-collapse-up:before {
  content: "\e160";
}
.glyphicon-log-in:before {
  content: "\e161";
}
.glyphicon-flash:before {
  content: "\e162";
}
.glyphicon-log-out:before {
  content: "\e163";
}
.glyphicon-new-window:before {
  content: "\e164";
}
.glyphicon-record:before {
  content: "\e165";
}
.glyphicon-save:before {
  content: "\e166";
}
.glyphicon-open:before {
  content: "\e167";
}
.glyphicon-saved:before {
  content: "\e168";
}
.glyphicon-import:before {
  content: "\e169";
}
.glyphicon-export:before {
  content: "\e170";
}
.glyphicon-send:before {
  content: "\e171";
}
.glyphicon-floppy-disk:before {
  content: "\e172";
}
.glyphicon-floppy-saved:before {
  content: "\e173";
}
.glyphicon-floppy-remove:before {
  content: "\e174";
}
.glyphicon-floppy-save:before {
  content: "\e175";
}
.glyphicon-floppy-open:before {
  content: "\e176";
}
.glyphicon-credit-card:before {
  content: "\e177";
}
.glyphicon-transfer:before {
  content: "\e178";
}
.glyphicon-cutlery:before {
  content: "\e179";
}
.glyphicon-header:before {
  content: "\e180";
}
.glyphicon-compressed:before {
  content: "\e181";
}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
  content: "\e185";
}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
  content: "\e187";
}
.glyphicon-subtitles:before {
  content: "\e188";
}
.glyphicon-sound-stereo:before {
  content: "\e189";
}
.glyphicon-sound-dolby:before {
  content: "\e190";
}
.glyphicon-sound-5-1:before {
  content: "\e191";
}
.glyphicon-sound-6-1:before {
  content: "\e192";
}
.glyphicon-sound-7-1:before {
  content: "\e193";
}
.glyphicon-copyright-mark:before {
  content: "\e194";
}
.glyphicon-registration-mark:before {
  content: "\e195";
}
.glyphicon-cloud-download:before {
  content: "\e197";
}
.glyphicon-cloud-upload:before {
  content: "\e198";
}
.glyphicon-tree-conifer:before {
  content: "\e199";
}
.glyphicon-tree-deciduous:before {
  content: "\e200";
}
.glyphicon-cd:before {
  content: "\e201";
}
.glyphicon-save-file:before {
  content: "\e202";
}
.glyphicon-open-file:before {
  content: "\e203";
}
.glyphicon-level-up:before {
  content: "\e204";
}
.glyphicon-copy:before {
  content: "\e205";
}
.glyphicon-paste:before {
  content: "\e206";
}
.glyphicon-alert:before {
  content: "\e209";
}
.glyphicon-equalizer:before {
  content: "\e210";
}
.glyphicon-king:before {
  content: "\e211";
}
.glyphicon-queen:before {
  content: "\e212";
}
.glyphicon-pawn:before {
  content: "\e213";
}
.glyphicon-bishop:before {
  content: "\e214";
}
.glyphicon-knight:before {
  content: "\e215";
}
.glyphicon-baby-formula:before {
  content: "\e216";
}
.glyphicon-tent:before {
  content: "\26fa";
}
.glyphicon-blackboard:before {
  content: "\e218";
}
.glyphicon-bed:before {
  content: "\e219";
}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
  content: "\e224";
}
.glyphicon-piggy-bank:before {
  content: "\e225";
}
.glyphicon-scissors:before {
  content: "\e226";
}
.glyphicon-bitcoin:before {
  content: "\e227";
}
.glyphicon-btc:before {
  content: "\e227";
}
.glyphicon-xbt:before {
  content: "\e227";
}
.glyphicon-yen:before {
  content: "\00a5";
}
.glyphicon-jpy:before {
  content: "\00a5";
}
.glyphicon-ruble:before {
  content: "\20bd";
}
.glyphicon-rub:before {
  content: "\20bd";
}
.glyphicon-scale:before {
  content: "\e230";
}
.glyphicon-ice-lolly:before {
  content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
  content: "\e232";
}
.glyphicon-education:before {
  content: "\e233";
}
.glyphicon-option-horizontal:before {
  content: "\e234";
}
.glyphicon-option-vertical:before {
  content: "\e235";
}
.glyphicon-menu-hamburger:before {
  content: "\e236";
}
.glyphicon-modal-window:before {
  content: "\e237";
}
.glyphicon-oil:before {
  content: "\e238";
}
.glyphicon-grain:before {
  content: "\e239";
}
.glyphicon-sunglasses:before {
  content: "\e240";
}
.glyphicon-text-size:before {
  content: "\e241";
}
.glyphicon-text-color:before {
  content: "\e242";
}
.glyphicon-text-background:before {
  content: "\e243";
}
.glyphicon-object-align-top:before {
  content: "\e244";
}
.glyphicon-object-align-bottom:before {
  content: "\e245";
}
.glyphicon-object-align-horizontal:before {
  content: "\e246";
}
.glyphicon-object-align-left:before {
  content: "\e247";
}
.glyphicon-object-align-vertical:before {
  content: "\e248";
}
.glyphicon-object-align-right:before {
  content: "\e249";
}
.glyphicon-triangle-right:before {
  content: "\e250";
}
.glyphicon-triangle-left:before {
  content: "\e251";
}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  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 {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </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://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/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="&#20320;&#30340;&#31532;&#19968;&#20010;&#31070;&#32463;&#32593;&#32476;">&#20320;&#30340;&#31532;&#19968;&#20010;&#31070;&#32463;&#32593;&#32476;<a class="anchor-link" href="#&#20320;&#30340;&#31532;&#19968;&#20010;&#31070;&#32463;&#32593;&#32476;">&#182;</a></h1><p>在此项目中，你将构建你的第一个神经网络，并用该网络预测每日自行车租客人数。我们提供了一些代码，但是需要你来实现神经网络（大部分内容）。提交此项目后，欢迎进一步探索该数据和模型。</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="&#21152;&#36733;&#21644;&#20934;&#22791;&#25968;&#25454;">&#21152;&#36733;&#21644;&#20934;&#22791;&#25968;&#25454;<a class="anchor-link" href="#&#21152;&#36733;&#21644;&#20934;&#22791;&#25968;&#25454;">&#182;</a></h2><p>构建神经网络的关键一步是正确地准备数据。不同尺度级别的变量使网络难以高效地掌握正确的权重。我们在下方已经提供了加载和准备数据的代码。你很快将进一步学习这些代码！</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>
<style>
    .dataframe thead tr:only-child th {
        text-align: right;
    }

    .dataframe thead th {
        text-align: left;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }
</style>
<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="&#25968;&#25454;&#31616;&#20171;">&#25968;&#25454;&#31616;&#20171;<a class="anchor-link" href="#&#25968;&#25454;&#31616;&#20171;">&#182;</a></h2><p>此数据集包含的是从 2011 年 1 月 1 日到 2012 年 12 月 31 日期间每天每小时的骑车人数。骑车用户分成临时用户和注册用户，cnt 列是骑车用户数汇总列。你可以在上方看到前几行数据。</p>
<p>下图展示的是数据集中前 10 天左右的骑车人数（某些天不一定是 24 个条目，所以不是精确的 10 天）。你可以在这里看到每小时租金。这些数据很复杂！周末的骑行人数少些，工作日上下班期间是骑行高峰期。我们还可以从上方的数据中看到温度、湿度和风速信息，所有这些信息都会影响骑行人数。你需要用你的模型展示所有这些数据。</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 0x19983a48dd8&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="&#34394;&#25311;&#21464;&#37327;&#65288;&#21713;&#21464;&#37327;&#65289;">&#34394;&#25311;&#21464;&#37327;&#65288;&#21713;&#21464;&#37327;&#65289;<a class="anchor-link" href="#&#34394;&#25311;&#21464;&#37327;&#65288;&#21713;&#21464;&#37327;&#65289;">&#182;</a></h3><p>下面是一些分类变量，例如季节、天气、月份。要在我们的模型中包含这些数据，我们需要创建二进制虚拟变量。用 Pandas 库中的 <code>get_dummies()</code> 就可以轻松实现。</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>
<style>
    .dataframe thead tr:only-child th {
        text-align: right;
    }

    .dataframe thead th {
        text-align: left;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }
</style>
<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="&#35843;&#25972;&#30446;&#26631;&#21464;&#37327;">&#35843;&#25972;&#30446;&#26631;&#21464;&#37327;<a class="anchor-link" href="#&#35843;&#25972;&#30446;&#26631;&#21464;&#37327;">&#182;</a></h3><p>为了更轻松地训练网络，我们将对每个连续变量标准化，即转换和调整变量，使它们的均值为 0，标准差为 1。</p>
<p>我们会保存换算因子，以便当我们使用网络进行预测时可以还原数据。</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="&#23558;&#25968;&#25454;&#25286;&#20998;&#20026;&#35757;&#32451;&#12289;&#27979;&#35797;&#21644;&#39564;&#35777;&#25968;&#25454;&#38598;">&#23558;&#25968;&#25454;&#25286;&#20998;&#20026;&#35757;&#32451;&#12289;&#27979;&#35797;&#21644;&#39564;&#35777;&#25968;&#25454;&#38598;<a class="anchor-link" href="#&#23558;&#25968;&#25454;&#25286;&#20998;&#20026;&#35757;&#32451;&#12289;&#27979;&#35797;&#21644;&#39564;&#35777;&#25968;&#25454;&#38598;">&#182;</a></h3><p>我们将大约最后 21 天的数据保存为测试数据集，这些数据集会在训练完网络后使用。我们将使用该数据集进行预测，并与实际的骑行人数进行对比。</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>我们将数据拆分为两个数据集，一个用作训练，一个在网络训练完后用来验证网络。因为数据是有时间序列特性的，所以我们用历史数据进行训练，然后尝试预测未来数据（验证数据集）。</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="&#24320;&#22987;&#26500;&#24314;&#32593;&#32476;">&#24320;&#22987;&#26500;&#24314;&#32593;&#32476;<a class="anchor-link" href="#&#24320;&#22987;&#26500;&#24314;&#32593;&#32476;">&#182;</a></h2><p>下面你将构建自己的网络。我们已经构建好结构和反向传递部分。你将实现网络的前向传递部分。还需要设置超参数：学习速率、隐藏单元的数量，以及训练传递数量。</p>
<p><img src="assets/neural_network.png" width=300px></p>
<p>该网络有两个层级，一个隐藏层和一个输出层。<strong>隐藏层级将使用 S 型函数作为激活函数</strong>。输出层只有一个节点，用于递归，节点的输出和节点的输入相同。即激活函数是 $f(x)=x$。这种函数获得输入信号，并生成输出信号，但是会考虑阈值，称为激活函数。我们完成网络的每个层级，并计算每个神经元的输出。一个层级的所有输出变成下一层级神经元的输入。这一流程叫做前向传播（forward propagation）。</p>
<p>我们在神经网络中使用权重将信号从输入层传播到输出层。我们还使用权重将错误从输出层传播回网络，以便更新权重。这叫做反向传播（backpropagation）。</p>
<blockquote><p><strong>提示</strong>：你需要为反向传播实现计算输出激活函数 ($f(x) = x$) 的导数。如果你不熟悉微积分，其实该函数就等同于等式 $y = x$。该等式的斜率是多少？也就是导数 $f(x)$。</p>
</blockquote>
<p>你需要完成以下任务：</p>
<ol>
<li>实现 S 型激活函数。将 <code>__init__</code> 中的 <code>self.activation_function</code>  设为你的 S 型函数。</li>
<li>在 <code>train</code> 方法中实现前向传递。</li>
<li>在 <code>train</code> 方法中实现反向传播算法，包括计算输出错误。</li>
<li>在 <code>run</code> 方法中实现前向传递。</li>
</ol>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[9]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="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="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="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="bp">self</span><span class="o">.</span><span class="n">activation_function</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">x</span> <span class="p">:</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.</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="c1">#def sigmoid(x):</span>
        <span class="c1">#    return 0  # Replace 0 with your sigmoid calculation here</span>
        <span class="c1">#self.activation_function = 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="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="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="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 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="n">final_outputs</span> <span class="o">=</span> <span class="n">final_inputs</span> <span class="c1"># signals from final output layer</span>
            
            <span class="c1">#### Implement the backward pass here ####</span>
            <span class="c1">### Backward pass ###</span>

            <span class="c1"># TODO: Output error - 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"># 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="n">error</span> <span class="o">*</span> <span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
            
            <span class="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="mi">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="mi">1</span> <span class="o">-</span> <span class="n">hidden_outputs</span><span class="p">)</span>

            <span class="c1"># Weight step (input to hidden)</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">dot</span><span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="kc">None</span><span class="p">],</span> <span class="n">hidden_error_term</span><span class="p">[</span><span class="kc">None</span><span class="p">,:])</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">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="kc">None</span><span class="p">],</span> <span class="n">output_error_term</span><span class="p">[</span><span class="kc">None</span><span class="p">,:])</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="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="n">final_inputs</span> <span class="c1"># signals from final output layer </span>
        
        <span class="k">return</span> <span class="n">final_outputs</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[10]:</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="&#21333;&#20803;&#27979;&#35797;">&#21333;&#20803;&#27979;&#35797;<a class="anchor-link" href="#&#21333;&#20803;&#27979;&#35797;">&#182;</a></h2><p>运行这些单元测试，检查你的网络实现是否正确。这样可以帮助你确保网络已正确实现，然后再开始训练网络。这些测试必须成功才能通过此项目。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="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[11]:</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="&#35757;&#32451;&#32593;&#32476;">&#35757;&#32451;&#32593;&#32476;<a class="anchor-link" href="#&#35757;&#32451;&#32593;&#32476;">&#182;</a></h2><p>现在你将设置网络的超参数。策略是设置的超参数使训练集上的错误很小但是数据不会过拟合。如果网络训练时间太长，或者有太多的隐藏节点，可能就会过于针对特定训练集，无法泛化到验证数据集。<strong>即当训练集的损失降低时，验证集的损失将开始增大。</strong></p>
<p>你还将采用随机梯度下降 (SGD) 方法训练网络。对于每次训练，都获取随机样本数据，而不是整个数据集。与普通梯度下降相比，训练次数要更多，但是每次时间更短。这样的话，网络训练效率更高。稍后你将详细了解 SGD。</p>
<h3 id="&#36873;&#25321;&#36845;&#20195;&#27425;&#25968;">&#36873;&#25321;&#36845;&#20195;&#27425;&#25968;<a class="anchor-link" href="#&#36873;&#25321;&#36845;&#20195;&#27425;&#25968;">&#182;</a></h3><p>也就是训练网络时从训练数据中抽样的批次数量。<strong>迭代次数越多，模型就与数据越拟合。</strong>但是，如果迭代次数太多，模型就无法很好地泛化到其他数据，这叫做过拟合。你需要选择一个使训练损失很低并且验证损失保持中等水平的数字。当你开始过拟合时，你会发现训练损失继续下降，但是验证损失开始上升。</p>
<h3 id="&#36873;&#25321;&#23398;&#20064;&#36895;&#29575;">&#36873;&#25321;&#23398;&#20064;&#36895;&#29575;<a class="anchor-link" href="#&#36873;&#25321;&#23398;&#20064;&#36895;&#29575;">&#182;</a></h3><p>速率可以调整权重更新幅度。如果速率太大，权重就会太大，导致网络无法与数据相拟合。<strong>建议从 0.1 开始。</strong>如果网络在与数据拟合时遇到问题，尝试降低学习速率。<strong>注意，学习速率越低，权重更新的步长就越小，神经网络收敛的时间就越长。</strong></p>
<h3 id="&#36873;&#25321;&#38544;&#34255;&#33410;&#28857;&#25968;&#37327;">&#36873;&#25321;&#38544;&#34255;&#33410;&#28857;&#25968;&#37327;<a class="anchor-link" href="#&#36873;&#25321;&#38544;&#34255;&#33410;&#28857;&#25968;&#37327;">&#182;</a></h3><p>隐藏节点越多，模型的预测结果就越准确。尝试不同的隐藏节点的数量，看看对性能有何影响。<strong>你可以查看损失字典，寻找网络性能指标。</strong>如果隐藏单元的数量太少，那么模型就没有足够的空间进行学习，如果太多，则学习方向就有太多的选择。选择隐藏单元数量的技巧在于找到合适的平衡点。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[133]:</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">10000</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.3</span>
<span class="n">hidden_nodes</span> <span class="o">=</span> <span class="mi">3</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">loc</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">loc</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: 100.0% ... Training loss: 0.088 ... Validation loss: 0.180</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;[134]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;last train_loss=</span><span class="si">%f</span><span class="s1">&#39;</span> <span class="o">%</span><span class="p">(</span><span class="n">train_loss</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;last val_loss=</span><span class="si">%f</span><span class="s1">&#39;</span> <span class="o">%</span><span class="p">(</span><span class="n">val_loss</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;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_subarea output_stream output_stdout output_text">
<pre>last train_loss=0.088957
last val_loss=0.180873
</pre>
</div>
</div>

<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvgAAAH0CAYAAABICFkFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=380
height=250
>
</div>

</div>

</div>
</div>

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

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

</div>
<div 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="&#26816;&#26597;&#39044;&#27979;&#32467;&#26524;">&#26816;&#26597;&#39044;&#27979;&#32467;&#26524;<a class="anchor-link" href="#&#26816;&#26597;&#39044;&#27979;&#32467;&#26524;">&#182;</a></h2><p>使用测试数据看看网络对数据建模的效果如何。如果完全错了，请确保网络中的每步都正确实现。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[135]:</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">loc</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="&#21487;&#36873;&#65306;&#24605;&#32771;&#19979;&#20320;&#30340;&#32467;&#26524;&#65288;&#25105;&#20204;&#19981;&#20250;&#35780;&#20272;&#36825;&#36947;&#39064;&#30340;&#31572;&#26696;&#65289;">&#21487;&#36873;&#65306;&#24605;&#32771;&#19979;&#20320;&#30340;&#32467;&#26524;&#65288;&#25105;&#20204;&#19981;&#20250;&#35780;&#20272;&#36825;&#36947;&#39064;&#30340;&#31572;&#26696;&#65289;<a class="anchor-link" href="#&#21487;&#36873;&#65306;&#24605;&#32771;&#19979;&#20320;&#30340;&#32467;&#26524;&#65288;&#25105;&#20204;&#19981;&#20250;&#35780;&#20272;&#36825;&#36947;&#39064;&#30340;&#31572;&#26696;&#65289;">&#182;</a></h2><p>请针对你的结果回答以下问题。模型对数据的预测效果如何？哪里出现问题了？为何出现问题呢？</p>
<blockquote><p><strong>注意</strong>：你可以通过双击该单元编辑文本。如果想要预览文本，请按 Control + Enter</p>
</blockquote>
<h4 id="&#35831;&#23558;&#20320;&#30340;&#31572;&#26696;&#22635;&#20889;&#22312;&#19979;&#26041;">&#35831;&#23558;&#20320;&#30340;&#31572;&#26696;&#22635;&#20889;&#22312;&#19979;&#26041;<a class="anchor-link" href="#&#35831;&#23558;&#20320;&#30340;&#31572;&#26696;&#22635;&#20889;&#22312;&#19979;&#26041;">&#182;</a></h4>
<pre><code>根据图形显示，对于20天的预测，前10天的预测准确程度高于后10天。
问题主要出现在人数较少的日期区域。对于人数较多的日期该模型的预测更为准确，而人数较少的日期普遍预测人数高于实际人数。
一是超参数的设置，根据损失对比，并未达到完全拟合。二是简单对比测试数据，主观感觉在人数差异较大的日期里，各因素并显示出明显的差异。</code></pre>

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

 
</html>