manual.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>manual</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>

<style type="text/css">
    /*!
*
* Twitter Bootstrap
*
*/
/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
  display: none;
  height: 0;
}
[hidden],
template {
  display: none;
}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
  font-weight: bold;
}
dfn {
  font-style: italic;
}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
  font-size: 80%;
}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
  border: 0;
}
svg:not(:root) {
  overflow: hidden;
}
figure {
  margin: 1em 40px;
}
hr {
  box-sizing: content-box;
  height: 0;
}
pre {
  overflow: auto;
}
code,
kbd,
pre,
samp {
  font-family: monospace, monospace;
  font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
  color: inherit;
  font: inherit;
  margin: 0;
}
button {
  overflow: visible;
}
button,
select {
  text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
  cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
  border: 0;
  padding: 0;
}
input {
  line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
  box-sizing: border-box;
  padding: 0;
}
input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: textfield;
  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
  -webkit-appearance: none;
}
fieldset {
  border: 1px solid #c0c0c0;
  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
  border: 0;
  padding: 0;
}
textarea {
  overflow: auto;
}
optgroup {
  font-weight: bold;
}
table {
  border-collapse: collapse;
  border-spacing: 0;
}
td,
th {
  padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !important;
    color: #000 !important;
    box-shadow: none !important;
    text-shadow: none !important;
  }
  a,
  a:visited {
    text-decoration: underline;
  }
  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;
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<h1 id="cbm-manual">cbm manual<a class="anchor-link" href="#cbm-manual">&#182;</a></h1><p>This document serves as the manual of cbm (computational and behavioral modeling) toolbox. cbm provides tools for hierarchical Bayesian inference (HBI). See the corresponding manuscript (<a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007043">here</a>) for more information about the HBI and its comparison with other methods. You can download cbm <a href="https://github.com/payampiray/cbm">here</a>. In this manual, I present two well-known examples and explain how cbm tools should be used to perform Bayesian model comparison, parameter estimation and inference at the group level. To be able to follow this manual, you need to be familiar with matlab syntax (cbm will be published soon in other languages, particularly python).</p>
<h1 id="Why-a-new-method?">Why a new method?<a class="anchor-link" href="#Why-a-new-method?">&#182;</a></h1><p>Althoguh I don't aim to demonstrate benefits of the HBI over other methods here, I would like to give a hint that might motivate you to use the HBI. 
Bayesian methods are typically used for both parameter estimation and model comparison. Regarding the former, methods either perform heirarchical parameter estimation (i.e. building empirical priors based on group data) or non-hierarchical parameter estimation (i.e. fitting each subject independently). Of course, hierarchical parameter estimation is more accurate (and much less prone to subjective prior tuning). Regarding the model comparison, methods either take the model identity as a fixed effect (essentially making a very strong assumption that the same model is the true model for all subjects, so any difference between subjects is mereley due to noise) or as a random effect (different models might be true for different subjects). Of course, the random effects model comparison is better (particularly because of its robustness against outliers). However, prior to the HBI, no method was able to do both.</p>
<p>The HBI has important advantages for both parameter estimation and model comparison. The parameters estimated by the HBI show smaller errors compared to other methods. Model comparison by HBI is robust against outliers and is not biased towards overly simplistic models. Furthermore, the fully Bayesian approach of our theory enables researchers to make inference on group-level parameters by performing HBI t-test.
See the corresponding <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007043">paper</a> theoretical and experimental results.</p>
<h1 id="Example-1:-bandit-task">Example 1: bandit task<a class="anchor-link" href="#Example-1:-bandit-task">&#182;</a></h1><p>I assume that the current directory contains this manual and "codes" directory, as well as "example_RL_task" and "example_2step_task" directories. The codes directory contains all cbm matlab functions.</p>
<p>For using cbm tools, you need to know what is your model-space and code your own models. You can then use cbm to make inference. For this example, models code and data have been stored in the example_RL_task directory.</p>
<p>Suppose you have 40 subjects' choice data in a 2-armed bandit task, in which subjects chose between two actions and received binary outcomes.</p>
<p>All data have been stored in a mat-file called all_data.mat in a cell format, in which each cell contains choice data and outcomes for one subject. First, enter the example_RL_task directory and then load those data:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% enter the example_RL_task folder, </span>
<span class="c">% which contains data and models for this example</span>
<span class="c">% (assuming that you are in the directory of the manual)</span>
<span class="n">cd</span><span class="p">(</span><span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;example_RL_task&#39;</span><span class="p">));</span>
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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% load data</span>
<span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>

<span class="c">% data for each subject</span>
<span class="n">subj1</span> <span class="p">=</span> <span class="n">data</span><span class="p">{</span><span class="mi">1</span><span class="p">};</span> <span class="c">% subject 1</span>
<span class="n">subj2</span> <span class="p">=</span> <span class="n">data</span><span class="p">{</span><span class="mi">2</span><span class="p">};</span> <span class="c">% subject 2</span>
<span class="c">% and so on</span>
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<p>For example, subj1 contains information of subject 1: subj1.actions are all actions and subj1.outcome are the
corresponding outcomes.</p>
<p>Also suppose you have 2 candidate models. An RL model, which has a learning rate  (alpha) and a decision noise (beta) parameter. The other model is a dual-alpha RL model with two separate learning rates for positive and negative prediction errors (alpha1 and alpha2, respectively) and a decision  noise (beta) parameter. See matlab functions model_RL and model_dualRL as examples.</p>
<p>It is important to remember that cbm does not care how your model works! It assumes that your models take parameters and data (of one subject) as input and produce a log-probability of data given the parameters (i.e. log-likelihood function). Tools in cbm only require that the input and output of models follow a specific format:</p>
<p>loglik = model(parameters,subj)</p>
<p>For example, for the model_RL, we have:</p>
<p>loglik = model_RL(parameters,subj1)</p>
<p>here parameters is a vector, which its size depends on the number of parameters of the model_RL (for model_RL, its size is 2). subj1 is the structure containing data of subject 1 as indicated above. loglik is the
log-likelihood of subj1 data given parameters, as computed by model_RL.</p>
<p>We now use cbm tools to fit models to data. For this example, we use the two models implemented in model_RL and model_dualRL together with the data stored in all_data.mat. Data stored in all_data is a synthetic dataset of 40 subjects. The data of the first 10 subjects are generated by model_RL and the data of the next 30 subjects are generated by model_dualRL. Note, however, that cbm is not meant to provide a collection of different computational models. You should code your models for questions of your interest yourself. The tools in cbm fit your models to your data and compare the models given the data.</p>
<p>First, make sure that cbm is added to your matlab path and then load the data:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">addpath</span><span class="p">(</span><span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;..&#39;</span><span class="p">,</span><span class="s">&#39;codes&#39;</span><span class="p">));</span>

<span class="c">% load data from all_data.mat file</span>
<span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>
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<p>Before using cbm tools, it is always good to check whether the format of the models is compatible with the cbm. To do that, create a random vector parameters and call the models:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% data of subject 1</span>
<span class="n">subj1</span> <span class="p">=</span> <span class="n">data</span><span class="p">{</span><span class="mi">1</span><span class="p">};</span>

<span class="n">parameters</span> <span class="p">=</span> <span class="nb">randn</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">);</span>
<span class="n">F1</span> <span class="p">=</span> <span class="n">model_RL</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span><span class="n">subj1</span><span class="p">)</span>

<span class="n">parameters</span> <span class="p">=</span> <span class="nb">randn</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">);</span>
<span class="n">F2</span> <span class="p">=</span> <span class="n">model_dualRL</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span><span class="n">subj1</span><span class="p">)</span>
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F1 =

 -200.9599


F2 =

  -57.2434

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<p>Note that because parameters were randomly drawn, when you run the same code, it generates different values for F1 and F2. Also note that parameters are drawn from a normal distribution. In theory, RL models require constrained parameters (e.g. alpha between 0 and 1). In model_RL and model_dualRL, some transformations applied to the normally-distributed parameters to meet their theoretical bounds (see model_RL and model_dualRL). I'll explain later a bit more about transforming (normally-distributed) parameters in your models.</p>
<p>We checked the models with some random parameters. It is also good to check them with more extreme parameter values:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">parameters</span> <span class="p">=</span> <span class="p">[</span><span class="o">-</span><span class="mi">10</span> <span class="mi">10</span><span class="p">];</span>
<span class="n">F1</span> <span class="p">=</span> <span class="n">model_RL</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span><span class="n">subj1</span><span class="p">)</span>

<span class="n">parameters</span> <span class="p">=</span> <span class="p">[</span><span class="o">-</span><span class="mi">10</span> <span class="mi">10</span> <span class="mi">10</span><span class="p">];</span>
<span class="n">F2</span> <span class="p">=</span> <span class="n">model_dualRL</span><span class="p">(</span><span class="n">parameters</span><span class="p">,</span><span class="n">subj1</span><span class="p">)</span>
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F1 =

 -654.4651


F2 =

 -169.2246

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<p>Again, F1 and F2 should be real negative scalers.</p>
<p>After making sure that model_RL and model_dualRl work fine, 
we now use cbm tools to fit models to data.</p>
<p>First, we should run cbm_lap, which fits every model to each subject data
separately (i.e. in a non-hierarchical fashion). cbm_lap employs Laplace approximation, which needs a normal 
prior for every parameter. We set zero as the prior mean. We also assume
that the prior variance for all parameters is 6.25. This variance is large enough to cover a wide range of parameters with no excessive penalty (see supplementary materials of the reference article for more details on how this variance is calculated).</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">v</span>     <span class="p">=</span> <span class="mf">6.25</span><span class="p">;</span>
<span class="n">prior_RL</span> <span class="p">=</span> <span class="n">struct</span><span class="p">(</span><span class="s">&#39;mean&#39;</span><span class="p">,</span><span class="nb">zeros</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="s">&#39;variance&#39;</span><span class="p">,</span><span class="n">v</span><span class="p">);</span> <span class="c">% note dimension of &#39;mean&#39;</span>
<span class="n">prior_dualRL</span> <span class="p">=</span> <span class="n">struct</span><span class="p">(</span><span class="s">&#39;mean&#39;</span><span class="p">,</span><span class="nb">zeros</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="s">&#39;variance&#39;</span><span class="p">,</span><span class="n">v</span><span class="p">);</span> <span class="c">% note dimension of &#39;mean&#39;</span>
</pre></div>

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<p>We also need to specify a file-address for saving the output of each model:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname_RL</span> <span class="p">=</span> <span class="s">&#39;lap_RL.mat&#39;</span><span class="p">;</span> 
<span class="n">fname_dualRL</span> <span class="p">=</span> <span class="s">&#39;lap_dualRL.mat&#39;</span><span class="p">;</span>
</pre></div>

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<p>Now we run cbm_lap for each model. Note that model_RL and model_dualRL are both in the current directory.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cbm_lap</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">@</span><span class="n">model_RL</span><span class="p">,</span> <span class="n">prior_RL</span><span class="p">,</span> <span class="n">fname_RL</span><span class="p">);</span>
<span class="c">% Running this command, prints a report on your matlab output </span>
<span class="c">% (e.g. on the command window)</span>
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<pre>cbm_lap                                           18-Jun-2019 22:04:28
======================================================================
Number of samples: 40
Number of parameters: 2

Number of initializations: 14
----------------------------------------------------------------------
Subject: 01
Subject: 02
Subject: 03
Subject: 04
Subject: 05
Subject: 06
Subject: 07
Subject: 08
Subject: 09
Subject: 10
Subject: 11
Subject: 12
Subject: 13
Subject: 14
Subject: 15
Subject: 16
Subject: 17
Subject: 18
Subject: 19
Subject: 20
Subject: 21
Subject: 22
Subject: 23
Subject: 24
Subject: 25
Subject: 26
Subject: 27
Subject: 28
Subject: 29
Subject: 30
Subject: 31
Subject: 32
Subject: 33
Subject: 34
Subject: 35
Subject: 36
Subject: 37
Subject: 38
Subject: 39
Subject: 40
done :]
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<p>Also run cbm_lap for model_dualRL</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cbm_lap</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">@</span><span class="n">model_dualRL</span><span class="p">,</span> <span class="n">prior_dualRL</span><span class="p">,</span> <span class="n">fname_dualRL</span><span class="p">);</span>
<span class="c">% Running this command, prints a report on your matlab output </span>
<span class="c">% (e.g. on the command window)</span>
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<pre>cbm_lap                                           18-Jun-2019 22:04:35
======================================================================
Number of samples: 40
Number of parameters: 3

Number of initializations: 21
----------------------------------------------------------------------
Subject: 01
Subject: 02
Subject: 03
Subject: 04
Subject: 05
Subject: 06
Subject: 07
Subject: 08
Subject: 09
Subject: 10
Subject: 11
Subject: 12
Subject: 13
Subject: 14
Subject: 15
Subject: 16
Subject: 17
Subject: 18
Subject: 19
Subject: 20
Subject: 21
Subject: 22
Subject: 23
Subject: 24
Subject: 25
Subject: 26
Subject: 27
Subject: 28
Subject: 29
Subject: 30
Subject: 31
Subject: 32
Subject: 33
Subject: 34
Subject: 35
Subject: 36
Subject: 37
Subject: 38
Subject: 39
Subject: 40
done :]
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<p>Let's take a look at the file saved by the cbm_lap:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;lap_RL.mat&#39;</span><span class="p">);</span>
<span class="n">cbm</span>   <span class="p">=</span> <span class="n">fname</span><span class="p">.</span><span class="n">cbm</span><span class="p">;</span>
<span class="c">% look at fitted parameters</span>
<span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">parameters</span>
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ans =

   -0.9099   -0.1596
   -2.2959    0.2281
   -1.8879    0.0641
   -2.9416    0.6446
    0.1626   -1.7082
   -2.3983   -0.2423
   -2.2385   -0.3139
   -1.1035   -0.1045
   -0.1508   -1.0967
   -3.1319    0.3766
   -1.6312    2.8806
   -1.9657    1.4585
    1.3684    1.3809
    0.2462    1.2869
    0.5822    1.6409
    0.1195    0.7961
    0.2869    1.3080
   -0.9798    2.4429
   -0.2855    1.3087
    0.6944    2.0278
    1.3887    1.4371
    0.0819    1.0805
   -0.5053    1.9617
    0.4317    1.4263
    0.1695    0.8347
    0.6204   -0.8997
    0.0504    2.2729
   -0.2048   -0.2258
    0.4743    1.2425
    0.5359    0.7142
    1.0363    0.0334
    0.7106    0.2387
   -1.4016    1.7652
    0.0332    2.4478
   -0.8369    1.4053
   -0.0262    0.6052
    0.1145    1.2742
    0.3787    1.6922
    0.0006    2.0756
    1.6417    0.6821

</pre>
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<p>Note that these values are normally-distributed parameters (I'll explain later how to obtain bounded parameters). 
The order of parameters depend on how they have been coded in the corresponding model. In model_RL, the first parameter is alpha and the second one is beta. Therefore, here the first column corresponds to alpha and the second one to beta.</p>
<p>Now we can do hierarchical Bayesian inference using cbm_hbi.
cbm_hbi needs 4 inputs. The good news is that you already have all of them!</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input: data for all subjects</span>
<span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>

<span class="c">% 2nd input: a cell input containing function handle to models</span>
<span class="n">models</span> <span class="p">=</span> <span class="p">{@</span><span class="n">model_RL</span><span class="p">,</span> <span class="p">@</span><span class="n">model_dualRL</span><span class="p">};</span>
<span class="c">% note that by handle, I mean @ before the name of the function</span>

<span class="c">% 3rd input: another cell input containing file-address to files saved by cbm_lap</span>
<span class="n">fcbm_maps</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;lap_RL.mat&#39;</span><span class="p">,</span><span class="s">&#39;lap_dualRL.mat&#39;</span><span class="p">};</span>
<span class="c">% note that they corresponds to models (so pay attention to the order)</span>

<span class="c">% 4th input: a file address for saving the output</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_RL_dualRL.mat&#39;</span><span class="p">;</span>
</pre></div>

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<p>Now, we are ready to run cbm_hbi:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cbm_hbi</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">models</span><span class="p">,</span><span class="n">fcbm_maps</span><span class="p">,</span><span class="n">fname_hbi</span><span class="p">);</span>
<span class="c">% Running this command, prints a report on your matlab output </span>
<span class="c">% (e.g. on the command window)</span>
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<pre>cbm_hbi_hbi                                       18-Jun-2019 22:04:43
Running hierarchical bayesian inference (HBI)...

HBI has been initialized according to
	lap_RL.mat [for model 1]
	lap_dualRL.mat [for model 2]
 
Number of samples: 40
Number of models: 2
======================================================================
Iteration 01
Iteration 02
	model frequencies (percent)
	model 1: 50.5| model 2: 49.5| 
                                                           dL:    6.62
                                                           dm:   49.48
                                                           dx:    0.22
Iteration 03
	model frequencies (percent)
	model 1: 48.6| model 2: 51.4| 
                                                           dL:    2.14
                                                           dm:    1.91
                                                           dx:    0.12
Iteration 04
	model frequencies (percent)
	model 1: 46.3| model 2: 53.7| 
                                                           dL:    3.09
                                                           dm:    2.30
                                                           dx:    0.13
Iteration 05
	model frequencies (percent)
	model 1: 43.3| model 2: 56.7| 
                                                           dL:    4.28
                                                           dm:    3.04
                                                           dx:    0.16
Iteration 06
	model frequencies (percent)
	model 1: 39.4| model 2: 60.6| 
                                                           dL:    4.91
                                                           dm:    3.84
                                                           dx:    0.18
Iteration 07
	model frequencies (percent)
	model 1: 35.6| model 2: 64.4| 
                                                           dL:    4.10
                                                           dm:    3.81
                                                           dx:    0.17
Iteration 08
	model frequencies (percent)
	model 1: 32.7| model 2: 67.3| 
                                                           dL:    3.42
                                                           dm:    2.93
                                                           dx:    0.15
Iteration 09
	model frequencies (percent)
	model 1: 31.2| model 2: 68.8| 
                                                           dL:    2.08
                                                           dm:    1.47
                                                           dx:    0.11
Iteration 10
	model frequencies (percent)
	model 1: 30.5| model 2: 69.5| 
                                                           dL:    1.40
                                                           dm:    0.72
                                                           dx:    0.12
Iteration 11
	model frequencies (percent)
	model 1: 30.0| model 2: 70.0| 
                                                           dL:    0.99
                                                           dm:    0.53
                                                           dx:    0.10
Iteration 12
	model frequencies (percent)
	model 1: 29.6| model 2: 70.4| 
                                                           dL:    0.65
                                                           dm:    0.34
                                                           dx:    0.08
Iteration 13
	model frequencies (percent)
	model 1: 29.4| model 2: 70.6| 
                                                           dL:    0.44
                                                           dm:    0.21
                                                           dx:    0.06
Iteration 14
	model frequencies (percent)
	model 1: 29.3| model 2: 70.7| 
                                                           dL:    0.30
                                                           dm:    0.13
                                                           dx:    0.04
Iteration 15
	model frequencies (percent)
	model 1: 29.2| model 2: 70.8| 
                                                           dL:    0.21
                                                           dm:    0.07
                                                           dx:    0.03
Iteration 16
	model frequencies (percent)
	model 1: 29.2| model 2: 70.8| 
                                                           dL:    0.15
                                                           dm:    0.04
                                                           dx:    0.02
Iteration 17
	model frequencies (percent)
	model 1: 29.1| model 2: 70.9| 
                                                           dL:    0.11
                                                           dm:    0.02
                                                           dx:    0.01
Iteration 18
	model frequencies (percent)
	model 1: 29.1| model 2: 70.9| 
                                                           dL:    0.08
                                                           dm:    0.01
                                                           dx:    0.01
Iteration 19
	model frequencies (percent)
	model 1: 29.1| model 2: 70.9| 
                                                           dL:    0.06
                                                           dm:    0.00
                                                           dx:    0.01
                                                          Converged :]
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<p>Runnig cbm_hbi writes a report on your standard output (often the screen). On every iteration, cbm_hbi reports model frequency, which is the estimate of how many individual datasets (i.e. subjects) is explained by each model (in percent). Furthermore, on every iteration, there are 3 metrics showing the changes relative to the previous iteration: dL is the change in the log-likelihood of all data given the model space (more specifically a variational approximation of log-likelihood); dm is the (percentage of) change in model frequencies; dx indicates changes in (normalized value of) parameters. Although either of these measures or their combination can be used as stopping criteria, cbm_hbi uses dx as the stopping criteria. By default, cbm_hbi stops when dx&lt;0.01.</p>
<p>Let's now take a look at the saved file:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname_hbi</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;hbi_RL_dualRL.mat&#39;</span><span class="p">);</span>
<span class="n">cbm</span>   <span class="p">=</span> <span class="n">fname_hbi</span><span class="p">.</span><span class="n">cbm</span><span class="p">;</span>
<span class="n">cbm</span><span class="p">.</span><span class="n">output</span>
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ans = 

  struct with fields:

                     parameters: {2x1 cell}
                 responsibility: [40x2 double]
                     group_mean: {[-1.8854 -0.0098]  [1.0678 -0.2944 1.1510]}
    group_hierarchical_errorbar: {[0.2954 0.0409]  [0.1183 0.1038 0.0912]}
                model_frequency: [0.2913 0.7087]
                exceedance_prob: [0.0041 0.9959]
      protected_exceedance_prob: [NaN NaN]

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<p>Almost all useful parameters are stored in cbm.output, which we explain them here.</p>
<p>First, let's look at model_frequency, which is the HBI estimate of 
how much each model is expressed across the group:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">model_frequency</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">model_frequency</span>
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model_frequency =

    0.2913    0.7087

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<p>Note that the model_frequency is normalized here (so it sums to 1 across all models). Also note that the order depends on the order of models fed into to HBI as input. 
Therefore, in this example, HBI estimated that about 29% of all subjects are explained 
by the model_RL and about 71% by the model_dualRL.</p>
<p>Now let's take a look at estimated group mean stored in cbm.output.group_mean.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">group_mean_RL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">group_mean</span><span class="p">{</span><span class="mi">1</span><span class="p">}</span>
<span class="c">% group mean for parameters of model_RL</span>

<span class="n">group_mean_dualRL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">group_mean</span><span class="p">{</span><span class="mi">2</span><span class="p">}</span>
<span class="c">% group mean for parameters of model_dualRL</span>
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group_mean_RL =

   -1.8854   -0.0098


group_mean_dualRL =

    1.0678   -0.2944    1.1510

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<p>Note that these are normally distributed parameters. That's the reason that group learning rate (which is typically constrained to be between zero and one) is negative here. This is because HBI (and other tools in the cbm) assume that parameters are normally distributed. Therefore, if you have a model with some constraints on parameters (e.g. an RL), you should transform the normally distributed parameter in your model function. To make this point clear, take a look at the model_RL function. On the first two lines of this function, you see these codes:</p>
<p>nd_alpha  = parameters(1); % normally-distributed alpha</p>
<p>alpha     = 1/(1+exp(-nd_alpha)); % alpha (transformed to be between zero and one)</p>
<p>Here, nd_alpha is the normally-distributed parameter passed to the model (for example by cbm tools). Before using it, the model transformed it to alpha, which is bounded between 0 and 1 and is served as the effective learning rate. To do this, a sigmoid function has been used:</p>
<p>$\text{sigmoid}(x)=\frac{1}{1+e^{-x}}$</p>
<p>which is illustrated here:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">x</span> <span class="p">=</span> <span class="o">-</span><span class="mi">5</span><span class="p">:.</span><span class="mi">1</span><span class="p">:</span><span class="mi">5</span><span class="p">;</span>
<span class="n">y</span> <span class="p">=</span> <span class="mf">1.</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="nb">exp</span><span class="p">(</span><span class="o">-</span><span class="n">x</span><span class="p">));</span>
<span class="n">plot</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="n">title</span><span class="p">(</span><span class="s">&#39;y = sigmoid(x)&#39;</span><span class="p">);</span> <span class="n">xlabel</span><span class="p">(</span><span class="s">&#39;x&#39;</span><span class="p">);</span> <span class="n">ylabel</span><span class="p">(</span><span class="s">&#39;y&#39;</span><span class="p">);</span>
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QR2aOyQ/P391Wp1enq6UqkUCoWxsbEJCQmEkKKiIpPJlJCQIJFIVqxYsW3btrffflssFmdkZDz66KN8Vw0AP4HdTacID8A0HfSJ0gtjCSEMw+j1erFYbLeAZOv69esSiUQgEPT5VcovAQPwKBVN7dGbT5e/NBmNEY8oPyvS2CGxBAJBUFBQ/2NGjhzJTTEAcDfYRSOkEfSP3kACAPeQnK/RGTpw0Sv8JBo3NQCA24jeXE0IwUWvMBAIJABwCp3BHL25WhEesD1+HN+1gGvAlB0AOJ7OYA5bexSLRjAo6JAAwMEqmtqRRjAECCQAcKSKpvbkfA3SCIYAgQQADsOmEe4JBEODNSQAcAw2jbC9G4YMHRIAOADSCO4eAgkA7hbSCBwCgQQAdwVpBI6CQAKAoUMagQMhkABgiJBG4FgIJAAYCqQROBwCCQAGzXq9Ed+FgFvBdUgAMDh41B44CTokABgEncGMNAInQSABwEDpDObk/HqkETgJAgkABio5v355ZAjSCJwEgQQAA8I+bS8pMoTvQsBtIZAA4Kcl52sIIRmzw/guBNwZAgkAfkJmiVZn6Ch/aQrfhYCbw7ZvAOhPRVP7jqpWXAALHKA0kCwWS2FhoUajkUgkcXFxMpnMbkBnZ2dhYWFDQ8PIkSPnzZs3ZswYXuoEcG/WTd58FwIegdIpu5SUlDVr1ty6devAgQNxcXHNzc12A377299u2LDBbDbv378/Li7u/PnzvNQJ4N6wyRu4RGMg1dXVlZWVZWdnq9XqgoICqVSam5trO+Drr78+fvy4Wq1et25dQUGBt7f3/v37+aoWwF2x2+qQRsAZGgOppqZGJBIpFApCiLe3t1KprKmpsR1w3333DRs2zGw2E0K6urq6uroCAwN5KRXAXWWWaAm21QG3aFxDMhgMUqlUKLwTlsHBwQaDwXbAiBEjVqxY8ac//enTTz89c+bMhAkTFixY0OdLyeVy9oOUlBSVSuXUsgHcRkVTe0VTO7bVuYGcnJyNGzfyXcVA0RhIPT09todCodBisdh+5tatW3v27AkICBg9enRHR8fZs2ePHj0aExPT+6UaGxudWyuA28FGBneiUqls/xa3/o1OJxoDycfHx2QyWQ+NRqOvr6/tgIqKikuXLh06dGjUqFGEkJdffvm9997rM5AAYLCwkQH4QuMakkwma2tr0+v17KFGo7Hb9n358mUvL6+AgDu/MOPHj29paeG6SgB3hI0MwCMaAykqKsrPzy8rK6ulpaW4uLi0tJTtftLS0vLy8gghERERRqMxOzv7ypUrtbW1u3fvnj59Ot9VA7g8bGQAfgkYhuG7hj4cOnQoPT39xo0bQqEwNjb2zTffHD58+KRJk2bOnPn2228TQnbs2JGTk2M0GgkhM2bMeOutt6wNk5VcLscaEsAA4ZHknoDysyKlgUQIYRhGr9eLxWK7BSSrnp4evV5/7733+vn59TmA8v/0AFQJW3t0e/w4TNa5N8rPijRuamAJBIKgoKB+BgiFQqlUylk9AG4senN1UgQedAQ8o3ENCQC4tONkK8HSEVCA3g4JADigM5ixdASUQIcE4NHYq45CJX2v1AJwCYEE4LmS8zWhEhGWjoASmLID8FDsDeswWQf0QIcE4KGS8zXb48fxXQXAfyCQADwR9nkDhRBIAB6noqmdYJ830AdrSACeBU+XAGqhQwLwLMn59atmhWGyDiiEQALwILgpA9AMU3YAnoK9KQMm64Ba6JAAPAUm64ByCCQAj4DJOqAfpuwA3B8m68AloEMCcH+YrAOXgEACcHOYrANXgSk7ADeXeVCLe9aBS0CHBODOkvM1ivAATNaBS0CHBOC28IAJcC3okADcVmYJJuvAlSCQANxTZomWEILJOnAhlE7ZWSyWwsJCjUYjkUji4uJkMpntVxsaGr766ivbz9x3332LFi3itkYAeukM5lUHtZisA9dCaSClpKQcO3YsJibmxIkTW7du3bt379ixY61f/frrr0tKSqyHTU1NwcHBCCQAq+T8+u3x40IlvnwXAjAINAZSXV1dWVnZli1blEplZ2fnvHnzcnNz165dax0QExMTExNjHbx8+fKsrCyeigWgDnvhUVJkCN+FAAwOjWtINTU1IpFIoVAQQry9vZVKZU1NTZ8jOzo6UlJSfv/730+ejHuiANyReVCLy2DBFdHYIRkMBqlUKhTeCcvg4GCDwdDnyK1btxJCli1b9mMvJZfL2Q9SUlJUKpWjKwWgTmaJFhcegVVOTs7GjRv5rmKgaAyknp4e20OhUGixWHoPu3HjRm5ublpamre394+9VGNjo+PrA6AVu5eByVbyXQjQQqVS2f4tbv0bnU40Ttn5+PiYTCbrodFo9PXtY2123759DMPMmTOHw9IAqMbuZeC7CoAhojGQZDJZW1ubXq9nDzUajd22b9a+ffsef/zxESNGcFsdAKWwlwFcHY2BFBUV5efnl5WV1dLSUlxcXFpayu6pS0tLy8vLY8cwDKPRaB599FFeKwWgCPYygKujMZD8/f3VavXx48eVSmVqampsbGxCQgIhpKioqKqqih3T2tpqMpl+9rOf8VopAC2wlwHcgIBhGL5r6BvDMHq9XiwW97mANBByuRybGsAT6AzmsLVHtWlRuBIW+kf5WZHGXXYsgUAQFBTEdxUALoB9ICzSCFwdjVN2ADBwFU3tunYzVo/ADSCQAFwbnjEBbgOBBODC2K3e2MsA7oHeNSQA+EnJ+Zryl3AjR3AT6JAAXFVyviYpMgTtEbgNdEgALklnMO842Yrb1oE7QYcE4JJw2zpwPwgkANfDbvXGbevAzSCQAFwPtnqDW0IgAbgYbPUGd4VNDQAuJvMg2iNwT+iQAFwJ7uoNbgwdEoArWXVQq02L4rsKAKdAhwTgMpLzNbirN7gxdEgArgFXwoLbQ4cE4BpwJSy4PQQSgAvAlbDgCRBIAC4AV8KCJ0AgAdAOV8KCh8CmBgDa4UpY8BDokACotuNka2iAL9oj8ATokACohvYIPAelgWSxWAoLCzUajUQiiYuLk8lkvcdUV1d/+eWXIpFo9uzZfQ4AcHW4URB4FEqn7FJSUtasWXPr1q0DBw7ExcU1NzfbDdi9e/eyZcvOnj1bWloaExOj1Wp5qRPAqVYd1GbMCuO7CgCO0BhIdXV1ZWVl2dnZarW6oKBAKpXm5ubaDvj222/XrVv3xhtv/POf/8zPz4+IiNizZw9f1QI4SWaJNikyBDcKAs9B45RdTU2NSCRSKBSEEG9vb6VSWVlZaTugoqLCx8dn8eLFly5d6u7u/uCDD4RCGpMV4G7gPqrgaWgMJIPBIJVKrRkTHBxsMBhsB3z99dcSieSZZ56pr6/v6ekJDw//xz/+8eCDD/JRLIBT4D6q4IFobCx6enpsD4VCocVisf3MzZs3L168OGXKlNra2sOHD3d3d69fv77Pl5J/Lycnx4kVAzgUex/VjNlYPYK7lZOTI7fBdzk/gcYOycfHx2QyWQ+NRqOv7w/+TrznnnuEQuFrr73m5eX1wAMPLF26dNOmTX2+VGNjo3NrBXCC5Pz6VdjLAI6gUqlUKpX1kPJMorFDkslkbW1ter2ePdRoNHa7useOHUsIsbZN3d3dw4fTmKwAQ1DR1F7RdAPtEXggGgMpKirKz88vKyurpaWluLiY3dhNCElLS8vLyyOEzJgx49577129enV7e/vZs2c/+OCDX/3qV3xXDeAYuI8qeCwaA8nf31+tVh8/flypVKampsbGxiYkJBBCioqKqqqqCCFisXjLli2nT5/+5S9/+fTTTz/66KMrVqzgu2oAB8BjJsCTCRiG4buGvjEMo9frxWKx3QKSrRs3bohEIh8fnz6/KpfLsYYEriV6c/XyyBAEEjgJ5WdFepdeBAJBUFBQ/2P8/f25KQaAA2iPwMPROGUH4JmwegQeDoEEQAU8hQ8AgQRAhZ24EhY8HgIJgH9ojwAIAgmABmiPAAgCCYB3aI8AWPRu+wbwEHhIOQALHRIAn3acbA0N8EV7BEDQIQHwC+0RgBU6JADe7DjZqggPQHsEwEIgAfAm86B2eWQw31UA0AKBBMAPtEcAdhBIAPxAewRgB4EEwAO0RwC9IZAAeID2CKA3BBIA1zJLtGiPAHrDdUgAXFt1UKtNi+K7CgDqoEMC4FRmiTYpMiRU4st3IQDUQYcEwCm0RwA/Bh0SAHfQHgH0Ax0SAHfQHgH0Ax0SAEfQHgH0Dx0SAEfQHgH0j4tAqqurCwsL8/PzG/g/sVgshYWFGo1GIpHExcXJZDK7AdXV1TU1NdZDpVI5ZswYx5QL4ATJ+Rq0RwD94yKQtm7deuTIkblz5y5evPixxx4byD9JSUk5duxYTEzMiRMntm7dunfv3rFjx9oO+Oijj2pra8PCwtjDiRMnIpCAZjtOtqI9AugfF4H0xz/+MTw8fP/+/f/7v/8bGhq6ZMmSBQsWBAUF/dj4urq6srKyLVu2KJXKzs7OefPm5ebmrl271nZMQ0PD7373u8WLFzu/fIC7hfYIYCC42NQwZsyYl19++cCBA4WFhTExMbt3754xY8bvf//70tJSi8XSe3xNTY1IJFIoFIQQb29vpVJpOztHCOnq6mpubvb399+/f/9XX33V1dXFwXcBMGQ7TrZmzArjuwoA2nG6qWHcuHFCobCnp+eDDz44cuRIRUVFSEhIRkYGmz1WBoNBKpUKhXfCMjg42GAw2A5oamqyWCyvvPLK6NGjL1++LJPJdu3aFRgY2Psd5XI5+0FKSopKpXLKdwXQL7RHwKOcnJyNGzfyXcVAcRRIV65cKS4uLioqOn/+/P333//SSy8tXry4s7PzrbfeeuWVV44dO+br+59f156eHtt/KxQK7Rqp7u7uX//61yqVSiaTXbx48Zlnntm4ceOqVat6v29jY6NzviGAgcLqEfBIpVLZ/i1u/RudTlwEklqt3rZtm1AoVCgUf/7znx9//HFr9/P8888fOnTIaDTaBpKPj4/JZLIe2n2VEDJx4kS1Ws1+PGbMmHnz5lVXVzv/+wAYNLRHAAPHRSAJBIKXX355yZIlUqnU7kvjx48vKSmxm22TyWRtbW16vZ79vEajsdv2/cknn1y8eDE1NZU9NBqNXl5ezvwOAIYI7RHAwHGxqSE1NfWll17qnUaEEB8fn9DQULtPRkVF+fn5ZWVltbS0FBcXl5aWxsTEEELS0tLy8vIIISNGjNi2bdvevXu/++67srKyffv2zZo1y/nfB8DgoD0CGBQa79Tg7++vVqvT09OVSqVQKIyNjU1ISCCEFBUVmUymhISEp556qr6+PiMj4/XXX/fx8UlISEhKSuK7aoAf0BnMO062MtlKvgsBcBkChmH4rqFvDMPo9XqxWGy3gGTV3d1tMBhGjhw5bNiwPgfI5XJsagC+JOdrQgN8M2ZjtzdQhPKzIo0dEksgEPRz8SwhZPjw4X1OAwLwDu0RwBDgbt8Ajpd5ULsKV8ICDBK9HRKAi0J7BDA06JAAHAztEcDQoEMCcCS0RwBDhg4JwJHQHgEMGTokAIepaGpHewQwZOiQABwms0S7PX4c31UAuCoEEoBjVDS1VzTdSIoM4bsQAFeFQAJwDLRHAHcJgQTgAGiPAO4eAgnAAdAeAdw9BBLA3apoate1m9EeAdwlBBLA3cos0Wbg2iOAu4ZAArgraI8AHAWBBHBX0B4BOAoCCWDo0B4BOBACCWDosLkOwIEQSABDtONkKyFEER7AdyEAbgKBBDBEO0+2ZszG6hGAwyCQAIYC7RGAw+HxEwBDkXkQq0cADoYOCWDQdpxsDQ3wRXsE4FiUdkgWi6WwsFCj0Ugkkri4OJlM9mMjP/3009u3b8fHx3NZHng4tEcAzkBph5SSkrJmzZpbt24dOHAgLi6uubm5z2F1dXXp6elfffUVx+WBJ9txslURHoD2CMDhaAykurq6srKy7OxstVpdUFAglUpzc3N7DzObzampqaNGjeK+QvBkmQe1yyOD+a4CwA3ROGVXU1MjEokUCgUhxNvbW6lUVlZW9h62YcMGuVwulUqvXr3KdYngqTJLtGiPAJyExg7JYDBIpVKh8E5twcHBBoPBbkxlZWVJSUlGRkb/LyX/Xk5OjlNqBQ+z6iDuXAeuJCcnR26D73J+Ao0dUk9Pj+2hUCi0WCy2n7lx48bKlStXr17t7+/f/0s1NjY6aWn+PwAAFfBJREFUvj7wVJkl2qTIkFCJL9+FAAyUSqVSqVTWQ8ozicYOycfHx2QyWQ+NRqOv7w9OAdnZ2ffee+/NmzcLCwsvXLhw5cqV/fv3c14meBy0RwBORWOHJJPJ2tra9Hp9YGAgIUSj0dht+x4xYoRYLM7LyyOEXLlypaurKz8/f+7cufyUC54hOV+zalYY2iMA56ExkKKiovz8/LKyslasWHH69OnS0tKVK1cSQtLS0saPH5+QkJCammodvH79+qtXr/7973/nr15wfzqDecfJViZbyXchAO6Mxik7f39/tVp9/PhxpVKZmpoaGxubkJBACCkqKqqqquo93rr9AcBJkvPrV2GyDsDJBAzD8F1D3xiG0ev1YrHYbgFp4ORyOTY1wN2raGqP3nwa7RG4AcrPijRO2bEEAkFQUBDfVQDgKXwAHMFkF0B/8JByAM4gkAD6g/YIgDMIJIAfhafwAXCJ3jUkAN7hMRMAXEKHBNA3PGYCgGMIJIC+Jedr8JgJAC4hkAD6wN5HFe0RAJewhgRgT2cwrzqo1aZF8V0IgGdBhwRgL/OgFvdRBeAeOiSAH6hoasd9VAF4gQ4J4AdwJSwAXxBIAP/BXgmLGwUB8AJTdgD/gSthAXiEDgngjh0nW0MDfLHVG4Av6JAA7kjO15S/NJnvKgA8FzokAEIISc7X4EpYAH6hQwIgOoMZW70BeIcOCYAk59djLwMA7xBI4OnwTFgASiCQwNMl52vQHgHQAIEEHi2zRIut3gCUwKYG8Gi4qzcAPSgNJIvFUlhYqNFoJBJJXFycTCazG9DR0VFQUKDVakeNGrVw4UKpVMpLneDSkvM1uKs3AD0onbJLSUlZs2bNrVu3Dhw4EBcX19zcbPtVi8Xym9/85v333zcajbt3754/f35bWxtfpYKLYu/qnTE7jO9CAOAOGgOprq6urKwsOztbrVYXFBRIpdLc3FzbAUeOHDl//nx+fr5arc7Ly7t582Z5eTlf1YKLyizR4r4MAFShMZBqampEIpFCoSCEeHt7K5XKmpoa2wH33HPPCy+8EBISQggRiURCoVAsFvNSKrgo9q7e2MsAQBUa15AMBoNUKhUK74RlcHCwwWCwHTBt2rRp06YZDIZNmzaVl5dHRUUplbjGHgYBt60DoBCNHVJPT4/toVAotFgsfQ7z9vYOCQnRaDS1tbV9vpT8ezk5OU6pFVwQu5cB7RF4gpycHLkNvsv5CTR2SD4+PiaTyXpoNBp9fX+wD6qjo4MQEhgYuGLFCkLIc889l5ubGxkZ2fulGhsbnVwsuJiKpvaKpnZs9QYPoVKpVCqV9ZDyTKKxQ5LJZG1tbXq9nj3UaDR2277Xrl0bHx9vPQwPD29paeG0RHBZeEI5ALVoDKSoqCg/P7+srKyWlpbi4uLS0tKYmBhCSFpaWl5eHiFk6tSpDQ0N77//vl6v//LLLwsLC6dPn8531eACsJcBgGY0Ttn5+/ur1er09HSlUikUCmNjYxMSEgghRUVFJpMpISFh/vz5jY2N77zzzoYNG9gBr776Kt9VA+10BnNyvgaTdQDUEjAMw3cNfWMYRq/Xi8ViuwUkK4vFotfrAwICvL29+xwgl8uxhgRW0ZurFeEBuBIWPBnlZ0UaOySWQCAICgrqZ8CwYcNGjRrFWT3g0thnTCCNAGhG4xoSgMPhGRMA9EMggftLztcowgOwlwGAcvRO2QE4BHsTVSYb9/IAoB06JHBzuIkqgKtAIIE7yyzRElx4BOAiMGUHbktnMOOBsAAuBB0SuK3k/PrylybjgbAArgKBBO4Jk3UALgdTduCGMFkH4IrQIYEbSs6v3x4/DpN1AK4FgQTuhp2sS4oM4bsQABgcTNmBW8FkHYDrQocEbgU76wBcFwIJ3Ad21gG4NEzZgZuoaGrfUdWKyToA14UOCdxEZokWD5gAcGkIJHAH0ZurQyUiTNYBuDRM2YHLY58GW/7SFL4LAYC7gkAC16YzmKM3n8YDJgDcAKbswLWx+7wxWQfgBhBI4MKwzxvAnWDKDlwV9nkDuBlKA8lisRQWFmo0GolEEhcXJ5PJ7AZ0dnYWFhaeO3cuMDBwwYIFwcHBvNQJfNEZzMn5GuzzBnAnlE7ZpaSkrFmz5tatWwcOHIiLi2tubrb9qsViSUxMfOedd0wm02effTZ37lydTsdTpcCP5Pz6pIgQTNYBuBMaA6murq6srCw7O1utVhcUFEil0tzcXNsBZWVlZ86c+fDDD9etW7d3716xWLxnzx6+qgXusUtHGbPD+C4EAByJxkCqqakRiUQKhYIQ4u3trVQqa2pqbAdcv349IiJi7NixhBCRSBQSEtLe3s5LqcA9dukIVx0BuB8aA8lgMEilUqHwTm3BwcEGg8F2QHx8/K5du9iPq6qqamtrp02bxnWVwAf2qiMsHQG4JRoDqaenx/ZQKBRaLJbewxiG+eijj55//vk5c+bMnz+/z5eSfy8nJ8cptQK3cNURwKDk5OTIbfBdzk+gcZedj4+PyWSyHhqNRl9f+8fbfPPNN6+99ppGo1m5cmV8fLxAIOjzpRobG51YKHArenO1IjwAaQQwcCqVSqVSWQ8pzyQaA0kmk7W1ten1+sDAQEKIRqOx2/bd0dGRmJg4atSof//730FBQTyVCZzCRgYAt0fjlF1UVJSfn19WVlZLS0txcXFpaWlMTAwhJC0tLS8vjxDy8ccft7W1vf7660ajUavVarXa69ev8101OBE2MgB4Aho7JH9/f7VanZ6erlQqhUJhbGxsQkICIaSoqMhkMiUkJJw6dcpkMi1cuND6T5YtW5aWlsZfyeBEuH0qgIcQMAzDdw19YxhGr9eLxeLeC0gDJJfLsYbkBqI3V2fMDsPSEcDdo/ysSGOHxBIIBFgfgujN1csjcUcGAI9A4xoSAIt9DmxSZAjfhQAAFxBIQCl2Wx2ugQXwHAgkoNGOk60VTe3YVgfgUehdQwKPVdHUnnlQiwcdAXgadEhAl4qmdjzoCMAzoUMCilgvOcK2OgAPhA4JaKEzmMPWHkUaAXgsBBJQQWcw407eAB4OgQT8Y9MIt2MA8HAIJOAZ0ggAWAgk4BPSCACsEEjAG6QRANhCIAE/kEYAYAeBBDxAGgFAb7gwFriG640AoE/okIBTSCMA+DEIJOBORVN79JZqpBEA9AmBBByx3jUVaQQAfcIaEnAhs0S7o6oVT5QAgH4gkMDpkvM1OkMH0ggA+ocpO3AincEcvbmaEIJnvwLAT0IggbPoDOboLdWK8AA8bQ8ABgJTduAU2MIAAINFaSBZLJbCwkKNRiORSOLi4mQyWZ/D6uvrDx8+rFKpOC4P+sduYSh/cUqoxJfvWgDAZVA6ZZeSkrJmzZpbt24dOHAgLi6uubm59xi9Xp+VlVVSUsJ9efBj2EWjiqZ2bVoU0ggABoXGQKqrqysrK8vOzlar1QUFBVKpNDc3127MokWLnnzyydOnT/NSIfSpoqk9bO1RRXgAtjAAwBDQOGVXU1MjEokUCgUhxNvbW6lUVlZW2o1ZvXp1Z2dnUVFRVVUVDyVCL3em6XAXBgAYKhoDyWAwSKVSofBO9xYcHGwwGOzGTJgwgRBy6tSp/gNJLpezH6SkpGCpyUnYW3cTQnClEQBtcnJyNm7cyHcVA0VjIPX09NgeCoVCi8UytJdqbGx0REXwozJLtKsOalfNCsuYHcZ3LQBgT6VS2f4tbv0bnU40BpKPj4/JZLIeGo1GX18sj1PHtjHC/gUAuHs0bmqQyWRtbW16vZ491Gg0P7btG/iSWaK17l9AGgGAQ9AYSFFRUX5+fllZWS0tLcXFxaWlpTExMYSQtLS0vLw8vqvzdLYbuzFNBwAOROOUnb+/v1qtTk9PVyqVQqEwNjY2ISGBEFJUVGQymdiPrQQCAU9leiJ2K11SRAiiCAAcTsAwDN819I1hGL1eLxaLh7yAJJfLsanBUdhbAeHGdAAujfKzIo0dEksgEAQFBfFdBdzZvKBrN+PGdADgVPQGEvBOZzDvPNmKOToA4AYCCfrARhF7gREudwUAbtC4yw74xW7pJoQw2Uo0RgDAGXRIcIe1K1KE++NaVwDgHgIJ7CfoEEUAwAsEkkdDFAEAPRBIHkpnMGce1FY0tSdFhDDZSr7LAQBAIHkY605uQkhSRAh20AEAPRBInsI6Oxcq8c2YFZYUGcJ3RQAAP4BAcnN2LRFm5wCAWggk98TmkK7dvONk66pZYbjrDwDQD4HkVmxzKFTii5YIAFwIAskdsDlU0dRe0XQDOQQALgqB5MKsOaRrN4cG+LLPb+W7KACAIUIguRg2hAgh7H459j7cWB8CADeAQHIBdiGkCA8IDfDFpBwAuBkEEqXsloW+n5GbjGYIANwVAokW1jbIdm+CIjxge/x43GIOADwBAokfOoNZ195x5MINYpNA7FxcxuywcrRBAOB5EEhc6DN+CCFJESGEECQQAABBIDmcXfbo2s06g9m6CEQQPwAAPwKBNBRs6ugM5osGMyFE127WGToqmm4QQmyzZ3lkCDsRx3O5AACuwFUDyWKxFBYWajQaiUQSFxcnk8kc+OK6OzFjHzmEEGvqEEKswTMj3H95ZHDvvicnJ0ehUjmwsMHKyclR8VoADTXwXgANNaAAGmrgvQD6CRiG4buGoXjxxRePHTsWExPT0NBw6dKlvXv3jh071m6MXC5vbGxkP2YzhhCia+9gDy/+5zN3woadXiM2eRMqEYUG3NnhNuNn/oSQ0ADRwPe82RbAC94LoKEG3gugoQYUQEMNvBdASQ39cMkOqa6urqysbMuWLUqlsrOzc968ebm5uWvXrrUbplWuCVt71BpF1pghhIRKRNaP2f6GDDJsAADAsVwykGpqakQikUKhIIR4e3srlcrKysrew0bVfFC+dg8yBgDAJQj5LmAoDAaDVCoVCu8UHxwcbDAYeg/zu34OaQQA4CpcskPq6emxPRQKhRaLpfewqVOnyuVyrorqGwqgoQbeC6ChBhRAQw28FzB16lR+C+ifSwaSj4+PyWSyHhqNRl/fPjqhXbt2cVgUAADcFZecspPJZG1tbXq9nj3UaDSO3fYNAADcc8lAioqK8vPzy8rKamlpKS4uLi0tjYmJ4bsoAAC4K656HdKhQ4fS09Nv3LghFApjY2PffPPN4cNdcvoRAABYrhpIhBCGYfR6vVgs7nMBCQAAXIsLBxIAALgTl1xDAgAA9+PO6y7V1dU1NTXWQ6VSOWbMGF4q+fTTT2/fvh0fH8/9W3d0dBQUFGi12lGjRi1cuFAqlXJcQGdnZ2Fh4blz5wIDAxcsWBAcHMxxAVb19fWHDx/m8u6WTr0F8MBx/43b4v0HgPdfAVt8nQroORn2z52n7P70pz/V1taGhYWxh7/97W8jIyO5L6Ouru7pp5+eOXPm3//+d47f2mKxLFmyxGAwTJs27cSJE2az+V//+ldQUBCXBSxduvTy5csKheL06dPXrl3bu3dvaGgoZwVY6fX6lJQUo9FYXFzM2ZsO5BbAzsbLN27F+w8A778Ctng8FVByMvxpjPuKjY0tKCjgt4aOjo45c+ZER0e//PLL3L/74cOHJ0yYcOXKFYZhLl++/Mgjj3z88cdcFnDw4MFHHnmkqamJYRiTyfTkk0+q1WouC2AtXLhw3LhxDz/8cGxsLGdvevbs2Ycffvjw4cMMw9y+fTsmJuYvf/kLZ+/O4uUbt8X7DwDvvwJW/J4KaDgZDoTbTtl1dXU1Nzf7+/vv378/ICAgIiLCy8uL+zI2bNggl8ulUunVq1e5f/d77rnnhRdeCAkJIYSIRCKhUCgWi7ks4Pr16xEREWxbIBKJQkJC2tvbuSyAtXr16s7OzqKioqqqKs7edIC3AHYqXr5xW7z/APD+K2DF46mAkpPhQLhtIDU1NVkslldeeWX06NGXL1+WyWS7du0KDAzksobKysqSkpLi4uItW7Zw+b5W06ZNmzZtmsFg2LRpU3l5eVRUlFKp5LKA+Ph463R5VVVVbW3t0qVLuSyANWHCBELIqVOnuDwvD/AWwE7Fyzdui/cfAN5/BVj8ngpoOBkOkPsEUnNzs/W37qGHHvLy8vr1r3+tUqlkMtnFixefeeaZjRs3rlq1irMCwsLCVq5cuXr1an9/f+e9af81TJ48mRDS09Pj7e0dEhKi0Whqa2udOnfcZwEMw+zevfutt96aM2fO/Pnznffu/dTAvQHeAtgTcPwD0BuXvwK93bhxg/tTga3u7m6OT4ZD5j6B1NjY+MEHH7Afz5kz5w9/+INarWYPx4wZM2/evOrqai4L2Lt377333nvz5s3CwsILFy7cunVr//79c+fO5bKGRx55hBASGBi4YsUKQshzzz2Xm5vr1N9GuwImT578zTffvPbaaxqNZuXKlfHx8QKBwHnv/mM1OPsd+zTAWwC7Pe5/AGx1dHQQbn8FesvOzub+VGBr4sSJHJ8Mh8x9AmnOnDlz5syxHn7yyScXL15MTU1lD41Go7OnTe0K2LBhg1gszsvLI4RcuXKlq6srPz/f2T+FdjWkp6efOXPms88+Yw/Dw8OPHTvGZQEdHR2JiYmjRo3697//zdnWJrsa+GK9BTA7N+KZtwDm5QfA1tq1azn+FehtxIgR3J8KbHF/Mhwy9wkkOyNGjNi2bVt4ePjs2bOPHz++b9++V155hcsCrP/7CSHr16+/evUq93s9p06dumfPnvfff3/BggWNjY2FhYULFy7ksoCPP/64ra3tnXfeMRqNRqOREDJixIiRI0dyWQNfrLcAXrFixenTp0tLS1euXMl3UVzj/QeA918BQsGpgPeT4cC5bSA99dRT9fX1GRkZr7/+uo+PT0JCQlJSEo/1WBe3uTR//vzGxsZ33nlnw4YN7F1oX331VS4LOHXqlMlksj0FLFu2LC0tjcsabHE5X+Tv769Wq9PT05VKJfsfPyEhgbN3t8PxRJkV7z8AvP8K9Mb9qYC2k2E/3PnCWEJId3e3wWAYOXLksGHD+K6FNxaLRa/XBwQEeHt7812Lx2FwC2AK4FeAuMjJ0M0DCQAAXAVurgoAAFRAIAEAABUQSAAAQAUEEgAAUAGBBAAAVEAgAQAAFRBIAABABQQSAABQAYEEAABUQCABOMXOnTufffbZM2fOsId//etfn3/++W+//ZbfqgBohkACcIqFCxd+/fXXf/7zn81m84EDB9577z2lUsnX87MBXALuZQfgLNXV1YmJiU899dQXX3wxffr0d999l++KAKiGQAJwok2bNr377rujRo3at28f2iOA/mHKDsCJrl+/TggxGAyXL1/muxYA2iGQAJyloqIiLy9vxYoV999//x//+MeOjg6+KwKgGgIJwCn0ev1f/vKXqKio5OTk9evX63S6N998k++iAKiGQAJwivT09Nu3b69du1YgEDz22GPLli3Lz88vLy/nuy4AemFTAwAAUAEdEgAAUAGBBAAAVEAgAQAAFRBIAABABQQSAABQAYEEAABUQCABAAAVEEgAAECF/wfqJ5vX0fFxugAAAABJRU5ErkJggg==
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<p>As you see, sigmoid is a monotonically increasing function, which transforms its input (x) to an output (y) between 0 and 1. Therefore, if you want to obtain the parameters of your model in their theoretical range (e.g. a learning rate between 0 and 1), you should apply the same transformation (e.g. the sigmoid) to the normally distributed parameter (e.g. to the group_mean_RL(1)).</p>
<p>The second parameter of the model_RL is the decision noise parameter, which is theoretically constrained to be positive. For transforming this one, we did an exponential-transformation to the second parameter passed to the model_RL:</p>
<p>nd_beta = parameters(2);</p>
<p>beta    = exp(nd_beta);</p>
<p>The HBI also quantifies (hierarchical) errorbar of the group_mean parameters, 
which is saved in cbm.output.group_hierarchical_errorbar:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">group_errorbar_RL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">group_hierarchical_errorbar</span><span class="p">{</span><span class="mi">1</span><span class="p">};</span>
<span class="n">group_errorbar_dualRL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">group_hierarchical_errorbar</span><span class="p">{</span><span class="mi">2</span><span class="p">};</span>
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<p>You can use the group_mean and group_hierarchical_errorbar values to plot group parameters, or use cbm_hbi_plot to plot the main outputs of the HBI.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input is the file-address of the file saved by cbm_hbi</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_RL_dualRL.mat&#39;</span><span class="p">;</span>

<span class="c">% 2nd input: a cell input containing model names</span>
<span class="n">model_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;RL&#39;</span><span class="p">,</span> <span class="s">&#39;Dual RL&#39;</span><span class="p">};</span>
<span class="c">% note that they corresponds to models (so pay attention to the order)</span>

<span class="c">% 3rd input: another cell input containing parameter names of the winning model</span>
<span class="n">param_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;\alpha^+&#39;</span><span class="p">,</span><span class="s">&#39;\alpha^-&#39;</span><span class="p">,</span><span class="s">&#39;\beta&#39;</span><span class="p">};</span>
<span class="c">% note that &#39;\alpha^+&#39; is in the latex format, which generates a latin alpha</span>

<span class="c">% 4th input: another cell input containing transformation function associated with each parameter of the winning model</span>
<span class="n">transform</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;exp&#39;</span><span class="p">};</span>
<span class="c">% note that if you use a less usual transformation function, you should pass the handle here (instead of a string)</span>

<span class="n">cbm_hbi_plot</span><span class="p">(</span><span class="n">fname_hbi</span><span class="p">,</span> <span class="n">model_names</span><span class="p">,</span> <span class="n">param_names</span><span class="p">,</span> <span class="n">transform</span><span class="p">)</span>
<span class="c">% this function creates a model comparison plot (exceednace probability and model frequency) as well as </span>
<span class="c">% a plot of transformed parameters of the most frequent model.</span>
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<pre>plotting the group parameters of the most frequenct modelThere is no protected exceedance probability as cbm_hbi_null has not been executed
Plotting exceedance probability instead...
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<p>Similar to a t-test, you can use the hierarchical errorbars to make an inference about a parameter at the population level. We explain that feature in the next example.</p>
<p>The value of individual parameters are saved in the cbm.output.parameters</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">parameters_RL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">parameters</span><span class="p">{</span><span class="mi">1</span><span class="p">};</span>
<span class="n">parameters_dualRL</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">parameters</span><span class="p">{</span><span class="mi">2</span><span class="p">};</span>
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<p>Also you can look at the estimated responsibility that each model 
generated each individual dataset. Across models, responsibilities sum to 1 for each subject.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">responsibility</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">responsibility</span>
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<pre>
responsibility =

    0.9755    0.0245
    0.9992    0.0008
    0.9993    0.0007
    0.9996    0.0004
    0.9990    0.0010
    0.9995    0.0005
    0.9923    0.0077
    0.9934    0.0066
    0.9972    0.0028
    1.0000    0.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0002    0.9998
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0007    0.9993
    0.6553    0.3447
    0.0000    1.0000
    0.5644    0.4356
    0.0000    1.0000
    0.0007    0.9993
    0.3221    0.6779
    0.1548    0.8452
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0002    0.9998
    0.0000    1.0000
    0.0000    1.0000
    0.0000    1.0000
    0.0012    0.9988

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<p>The first and second columns indicate the responsibility of model_RL
and model_dualRL in generating the corresponding subject data, respectively.</p>
<p>Look at the estimated responsibility of model_dualRL:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">plot</span><span class="p">(</span><span class="n">responsibility</span><span class="p">(:,</span><span class="mi">2</span><span class="p">));</span> <span class="n">ylim</span><span class="p">([</span><span class="o">-</span><span class="p">.</span><span class="mi">1</span> <span class="mf">1.1</span><span class="p">])</span>
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<p>As you see, the estimated responsibility of model_dualRL 
for the first 10 subjects is almost zero. These results make sense as this is a synthetic dataset 
and the first 10 subjects are actually generated using model_RL. The next 30 individual datasets 
are generated using model_dualRL.</p>

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<p>Let's also take a look at exceedance probability, a metric typically used for model selection.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">xp</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">exceedance_prob</span>
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xp =

    0.0041    0.9959

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<p>The exceedance probability indicates the probability that each model is the most likely model across the group.</p>
<p>A more useful metric is called protected exceedance probability, which also takes into account
the null hypothesis that no model in the model space is most likely across the population 
(i.e. any difference between model frequencies is due to chance).</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">pxp</span> <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">protected_exceedance_prob</span>
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pxp =

   NaN   NaN

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<p>As you see, this is currently only NaN values. This is because for computing protected exceedance probabilities, the HBI should be re-run under the (prior) null hypothesis.</p>
<p>This is how you can do it:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>

<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_RL_dualRL&#39;</span><span class="p">;</span>

<span class="c">% 1st input is data, </span>
<span class="c">% 2nd input is the file-address of the file saved by cbm_hbi</span>
<span class="n">cbm_hbi_null</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">fname_hbi</span><span class="p">);</span>
<span class="c">% Running this command, prints a report on your matlab output </span>
<span class="c">% (e.g. on the command window)</span>
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<pre>cbm_hbi_hbi                                       18-Jun-2019 22:05:01
Running hierarchical bayesian inference (HBI)- null mode...

HBI has been initialized according to
	lap_RL.mat [for model 1]
	lap_dualRL.mat [for model 2]
 
Number of samples: 40
Number of models: 2
======================================================================
Iteration 01
Iteration 02
                                                           dL:    5.07
                                                           dx:    0.15
Iteration 03
                                                           dL:    1.14
                                                           dx:    0.05
Iteration 04
                                                           dL:   -0.08
                                                           dx:    0.02
Iteration 05
                                                           dL:    0.06
                                                           dx:    0.01
Iteration 06
                                                           dL:    0.08
                                                           dx:    0.01
                                                          Converged :]
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<p>cbm_hbi_null saves a new file 'hbi_RL_dualRL_null.mat' and it also updates 
the cbm in hbi_RL_dualRL.mat.</p>
<p>Load again hbi_RL_dualRL.mat and look at the protected exceedance probability</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname_hbi</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;hbi_RL_dualRL.mat&#39;</span><span class="p">);</span>
<span class="n">cbm</span>   <span class="p">=</span> <span class="n">fname_hbi</span><span class="p">.</span><span class="n">cbm</span><span class="p">;</span>
<span class="n">pxp</span>   <span class="p">=</span> <span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">protected_exceedance_prob</span>
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pxp =

    0.0041    0.9959

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<p>Note that here values of xp and pxp are not really different (their difference is very small). In many datasets, however, their difference might be quite substantial.</p>

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<h1 id="Example-2:-Two-step-Markov-decision-task">Example 2: Two-step Markov decision task<a class="anchor-link" href="#Example-2:-Two-step-Markov-decision-task">&#182;</a></h1><p>We now use cbm tools for computational modeling in the two-step Markov decision task introduced by Daw et al. (2011). This task is a well-known paradigm to distinguish two behavioral modes, model-based and model-free learning. Daw et al. have proposed three reinforcement learning accounts, a model-based, a model-free and their hybrid (which nests the other two and combines their estimates according to a weight parameter), to disentangle contribution of these two behavioral modes on choices.</p>
<p>For this example, we use an empirical dataset reported in Piray et al. (2016) (20 subjects for this example), which is stored in the example_2step_task directory.</p>
<p>The hybrid, model-based and model-free algorithms contain 7, 4 and 6 parameters, respectively. Please see Daw et al. for formal description of the models.</p>
<p>loglik = model(parameters,subj);</p>
<p>Now enter the example_2step_task directory and load data.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% assuming that the current directory is example_RL_task</span>
<span class="n">cd</span><span class="p">(</span><span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;..&#39;</span><span class="p">,</span><span class="s">&#39;example_2step_task&#39;</span><span class="p">));</span>

<span class="c">% load data from all_data.mat file</span>
<span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>

<span class="n">subj1</span> <span class="p">=</span> <span class="n">data</span><span class="p">{</span><span class="mi">1</span><span class="p">};</span>
<span class="n">subj1</span>
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subj1 = 

  struct with fields:

        choice1: [201x1 double]
        transit: [201x1 double]
         state2: [201x1 double]
        choice2: [201x1 double]
        outcome: [201x1 double]
    description: {5x1 cell}

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<p>See subj1.description for a description of information stored for each subject.</p>
<p>Now, you should call cbm_lap with each model separately.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">prior_mb</span> <span class="p">=</span> <span class="n">struct</span><span class="p">(</span><span class="s">&#39;mean&#39;</span><span class="p">,</span><span class="nb">zeros</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="s">&#39;variance&#39;</span><span class="p">,</span><span class="mf">6.25</span><span class="p">);</span>
<span class="n">fname_mb</span> <span class="p">=</span> <span class="s">&#39;lap_mb.mat&#39;</span><span class="p">;</span>
<span class="n">cbm_lap</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">@</span><span class="n">model_mb</span><span class="p">,</span> <span class="n">prior_mb</span><span class="p">,</span> <span class="n">fname_mb</span><span class="p">);</span>
<span class="c">% Running this command, prints a report on your matlab output </span>
<span class="c">% (e.g. on the command window)</span>
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<p>If you have many subjects or a model with many parameters, the cbm_lap can take a long time to fit all of them. If you have access to cluster computing, however, you can run cbm_lap in parallel for subjects. For example, here we fit model_mf to the data of only subject 1:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% create a directory for individual output files:</span>
<span class="n">mkdir</span><span class="p">(</span><span class="s">&#39;lap_subjects&#39;</span><span class="p">);</span>

<span class="c">% 1st input: data</span>
<span class="c">% now the input data should be the data of subject 1</span>
<span class="n">data_subj</span> <span class="p">=</span> <span class="n">data</span><span class="p">(</span><span class="mi">1</span><span class="p">);</span>

<span class="c">% 2nd input: function handle of model (i.e. @model_mf)</span>

<span class="c">% 3rd input: a prior struct. The size of mean should </span>
<span class="c">% be equal to the number of parameters</span>
<span class="n">prior_mf</span> <span class="p">=</span> <span class="n">struct</span><span class="p">(</span><span class="s">&#39;mean&#39;</span><span class="p">,</span><span class="nb">zeros</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="s">&#39;variance&#39;</span><span class="p">,</span><span class="mf">6.25</span><span class="p">);</span>

<span class="c">% 4th input: output file</span>
<span class="c">% note that here the output is associated with subject 1</span>
<span class="c">% we save all output files in the lap_subjects directory</span>
<span class="n">fname_mf_subj</span> <span class="p">=</span> <span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;lap_subjects&#39;</span><span class="p">,</span><span class="s">&#39;lap_mf_1.mat&#39;</span><span class="p">);</span>

<span class="n">cbm_lap</span><span class="p">(</span><span class="n">data_subj</span><span class="p">,</span> <span class="p">@</span><span class="n">model_mf</span><span class="p">,</span> <span class="n">prior_mf</span><span class="p">,</span> <span class="n">fname_mf_subj</span><span class="p">);</span>
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<pre>Warning: Directory already exists.
cbm_lap                                           18-Jun-2019 22:05:04
======================================================================
Number of samples: 1
Number of parameters: 6

Number of initializations: 42
----------------------------------------------------------------------
Subject: 01
done :]
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<p>After all jobs finished, you should call cbm_lap_aggregate to aggregate individual files:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% first make a list of lap_mf_* files:</span>
<span class="n">fname_subjs</span> <span class="p">=</span> <span class="n">cell</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">1</span><span class="p">);</span>
<span class="k">for</span> <span class="n">n</span><span class="p">=</span><span class="mi">1</span><span class="p">:</span><span class="nb">length</span><span class="p">(</span><span class="n">fname_subjs</span><span class="p">)</span>
    <span class="n">fname_subjs</span><span class="p">{</span><span class="n">n</span><span class="p">}</span> <span class="p">=</span> <span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;lap_subjects&#39;</span><span class="p">,[</span><span class="s">&#39;lap_mf_&#39;</span> <span class="n">num2str</span><span class="p">(</span><span class="n">n</span><span class="p">)</span> <span class="s">&#39;.mat&#39;</span><span class="p">]);</span>
<span class="k">end</span>
<span class="n">fname_subjs</span>
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fname_subjs =

  20x1 cell array

    {&#39;lap_subjects/lap_mf_1.mat&#39; }
    {&#39;lap_subjects/lap_mf_2.mat&#39; }
    {&#39;lap_subjects/lap_mf_3.mat&#39; }
    {&#39;lap_subjects/lap_mf_4.mat&#39; }
    {&#39;lap_subjects/lap_mf_5.mat&#39; }
    {&#39;lap_subjects/lap_mf_6.mat&#39; }
    {&#39;lap_subjects/lap_mf_7.mat&#39; }
    {&#39;lap_subjects/lap_mf_8.mat&#39; }
    {&#39;lap_subjects/lap_mf_9.mat&#39; }
    {&#39;lap_subjects/lap_mf_10.mat&#39;}
    {&#39;lap_subjects/lap_mf_11.mat&#39;}
    {&#39;lap_subjects/lap_mf_12.mat&#39;}
    {&#39;lap_subjects/lap_mf_13.mat&#39;}
    {&#39;lap_subjects/lap_mf_14.mat&#39;}
    {&#39;lap_subjects/lap_mf_15.mat&#39;}
    {&#39;lap_subjects/lap_mf_16.mat&#39;}
    {&#39;lap_subjects/lap_mf_17.mat&#39;}
    {&#39;lap_subjects/lap_mf_18.mat&#39;}
    {&#39;lap_subjects/lap_mf_19.mat&#39;}
    {&#39;lap_subjects/lap_mf_20.mat&#39;}

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<p>Now specify the final output file-address and call cbm_lap_aggregate</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname_mf</span> <span class="p">=</span> <span class="s">&#39;lap_mf.mat&#39;</span><span class="p">;</span>
<span class="n">cbm_lap_aggregate</span><span class="p">(</span><span class="n">fname_subjs</span><span class="p">,</span><span class="n">fname_mf</span><span class="p">);</span>
<span class="c">% Running this command prints a report on your matlab output</span>
<span class="c">% (e.g. on the command window)</span>
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<pre>Aggregation is done over 20 subjects :]
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<p>You see that lap_mf.mat is saved by cbm_lap_aggregate.
Similarly, you can fit model_hybrid to data using cbm_lap. I did that and saved lap_hybrid.mat.</p>
<p>Now that we have fitted models to data using cbm_lap, we can run cbm_hbi. Note that you can configure the algorithm using optional inputs:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input: data for all subjects</span>
<span class="n">fdata</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;all_data.mat&#39;</span><span class="p">);</span>
<span class="n">data</span>  <span class="p">=</span> <span class="n">fdata</span><span class="p">.</span><span class="n">data</span><span class="p">;</span>

<span class="c">% 2nd input: a cell input containing function handle to models</span>
<span class="n">models</span> <span class="p">=</span> <span class="p">{@</span><span class="n">model_hybrid</span><span class="p">,</span> <span class="p">@</span><span class="n">model_mb</span><span class="p">,</span> <span class="p">@</span><span class="n">model_mf</span><span class="p">};</span>
<span class="c">% note that by handle, I mean @ before the name of the function</span>

<span class="c">% 3rd input: another cell input containing file-address to files saved by cbm_lap</span>
<span class="n">fcbm_maps</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;lap_hybrid.mat&#39;</span><span class="p">,</span><span class="s">&#39;lap_mb.mat&#39;</span><span class="p">,</span><span class="s">&#39;lap_mf.mat&#39;</span><span class="p">};</span>
<span class="c">% note that they corresponds to models (so pay attention to the order)</span>

<span class="c">% 4th input: a file address for saving the output</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_2step.mat&#39;</span><span class="p">;</span>

<span class="n">cbm_hbi</span><span class="p">(</span><span class="n">data</span><span class="p">,</span><span class="n">models</span><span class="p">,</span><span class="n">fcbm_maps</span><span class="p">,</span><span class="n">fname_hbi</span><span class="p">);</span>
<span class="c">% Running this command prints a report on your matlab output</span>
<span class="c">% (e.g. on the command window)</span>
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<p>Now, we look at the hbi_2step.mat file saved by the cbm_hbi</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">fname_hbi</span> <span class="p">=</span> <span class="n">load</span><span class="p">(</span><span class="s">&#39;hbi_2step.mat&#39;</span><span class="p">);</span>
<span class="n">cbm</span>   <span class="p">=</span> <span class="n">fname_hbi</span><span class="p">.</span><span class="n">cbm</span><span class="p">;</span>
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<p>First, take a look at model frequencies:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">model_frequency</span>
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ans =

    0.6531    0.3469    0.0000

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<p>As you see the hybrid model takes about 65% of responsibility. Now let's take a look at the exceedance probability</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cbm</span><span class="p">.</span><span class="n">output</span><span class="p">.</span><span class="n">exceedance_prob</span>
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ans =

    0.9102    0.0897    0.0000

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<p>Note that for computing the protected exceedance probability, the HBI should be re-run under the (prior) null hypothesis cbm_hbi_null.</p>
<p>Next, we look at the parameters of the hybrid model:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="n">cd</span><span class="p">(</span><span class="n">fullfile</span><span class="p">(</span><span class="s">&#39;..&#39;</span><span class="p">,</span><span class="s">&#39;example_2step_task&#39;</span><span class="p">))</span>

<span class="c">% 1st input is the file-address of the file saved by cbm_hbi</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_2step.mat&#39;</span><span class="p">;</span>

<span class="c">% 2nd input: a cell input containing model names</span>
<span class="n">model_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;Hybrid&#39;</span><span class="p">,</span> <span class="s">&#39;MB&#39;</span><span class="p">,</span> <span class="s">&#39;MF&#39;</span><span class="p">};</span>
<span class="c">% note that they corresponds to models (so pay attention to the order)</span>

<span class="c">% 3rd input: another cell input containing parameter names of the winning model</span>
<span class="n">param_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;\alpha_1&#39;</span><span class="p">,</span><span class="s">&#39;\alpha_2&#39;</span><span class="p">,</span><span class="s">&#39;\lambda&#39;</span><span class="p">,</span><span class="s">&#39;\beta_1&#39;</span><span class="p">,</span><span class="s">&#39;w&#39;</span><span class="p">,</span><span class="s">&#39;p&#39;</span><span class="p">,</span><span class="s">&#39;\beta_2&#39;</span><span class="p">};</span>

<span class="c">% 4th input: another cell input containing transformation function associated with each parameter of the winning model</span>
<span class="n">transform</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;exp&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;none&#39;</span><span class="p">,</span><span class="s">&#39;exp&#39;</span><span class="p">};</span>
<span class="c">% note that no transformation applied to parameter p (i.e perserveration) in the hybrid model, so we just pass &#39;none&#39;.</span>

<span class="n">cbm_hbi_plot</span><span class="p">(</span><span class="n">fname_hbi</span><span class="p">,</span> <span class="n">model_names</span><span class="p">,</span> <span class="n">param_names</span><span class="p">,</span> <span class="n">transform</span><span class="p">)</span>
<span class="c">% this function creates a model comparison plot (exceednace probability and model frequency) as well as </span>
<span class="c">% a plot of transformed parameters of the most frequent model.</span>
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<pre>plotting the group parameters of the most frequenct modelThere is no protected exceedance probability as cbm_hbi_null has not been executed
Plotting exceedance probability instead...
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<p>A critical parameter of the hybrid model is the weight parameter, which indicates the degree to which choices influenced by model-based and model-free values. Since the weight parameter is also constrained to be between 0 (i.e. pure model-free) and 1 (i.e. pure model-based), the normally distributed parameter has been transformed in model_hybrid using the sigmoid function.</p>
<p>Similar to a t-test, you can use the hierarchical errorbars to make an inference about a parameter at the population level. For example, suppose you are interested to test whether the subjects show significantly more model-based than model-free behavior. In terms of the hybrid model, this can be examined by testing whether the (transformed) weight parameter is significantly different from 0.5 (which indicates equal contribution of model-based and model-free values). Since sigmoid function transforms 0 to 0.5, we should test whether the normally distributed weight parameter is significantly different from 0. cbm_hbi_ttest performs this inference according to a Student's t-distribution:</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input: the fitted cbm by cbm_hbi</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_2step&#39;</span><span class="p">;</span>

<span class="c">% 2nd input: the index of the model of interest in the cbm file</span>
<span class="n">k</span> <span class="p">=</span> <span class="mi">1</span><span class="p">;</span> <span class="c">% as the hybrid is the first model fed to cbm_hbi</span>

<span class="c">% 3rd input: the test will be done compared with this value (i.e. this value indicates the null hypothesis)</span>
<span class="n">m</span> <span class="p">=</span> <span class="mi">0</span><span class="p">;</span> <span class="c">% here the weight parameter should be tested against m=0</span>

<span class="c">% 4th input: the index of the parameter of interest </span>
<span class="nb">i</span> <span class="p">=</span> <span class="mi">5</span><span class="p">;</span> <span class="c">% here the weight parameter is the 5th parameter of the hybrid model</span>

<span class="p">[</span><span class="n">p</span><span class="p">,</span><span class="n">stats</span><span class="p">]</span> <span class="p">=</span> <span class="n">cbm_hbi_ttest</span><span class="p">(</span><span class="n">cbm</span><span class="p">,</span><span class="n">k</span><span class="p">,</span><span class="n">m</span><span class="p">,</span><span class="nb">i</span><span class="p">)</span>
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p =

    0.1667


stats = 

  struct with fields:

    tstat: -1.4585
     pval: 0.1667
       df: 14.0626

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<p>We see that the p-value is not smaller than 0.05, so there is no signigicant evidence that the weight is different from 0. In other words, there is no significant evidence that subjects are more influenced by model-based or model-free values.</p>
<p>As another example, let's see whether the perseveration paramater is significantly different from 0 (parameter p in the above plot). This parameter indicates whether subjects repeat their choices (or avoid if p&lt;0) regardless of the estimated values. This parameter has not been transformed, so the test should be against m=0.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input: the fitted cbm by cbm_hbi</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_2step&#39;</span><span class="p">;</span>

<span class="c">% 2nd input: the index of the model of interest in the cbm file</span>
<span class="n">k</span> <span class="p">=</span> <span class="mi">1</span><span class="p">;</span> <span class="c">% as the hybrid is the first model fed to cbm_hbi</span>

<span class="c">% 3rd input: the test will be done compared with this value (i.e. this value indicates the null hypothesis)</span>
<span class="n">m</span> <span class="p">=</span> <span class="mi">0</span><span class="p">;</span> <span class="c">% here the perseveration parameter should be tested against m=0</span>

<span class="c">% 4th input: the index of the parameter of interest </span>
<span class="n">d</span> <span class="p">=</span> <span class="mi">6</span><span class="p">;</span> <span class="c">% here the perseveration parameter is the 6th parameter of the hybrid model</span>

<span class="p">[</span><span class="n">p</span><span class="p">,</span><span class="n">stats</span><span class="p">]</span> <span class="p">=</span> <span class="n">cbm_hbi_ttest</span><span class="p">(</span><span class="n">cbm</span><span class="p">,</span><span class="n">k</span><span class="p">,</span><span class="n">m</span><span class="p">,</span><span class="n">d</span><span class="p">)</span>
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<pre>
p =

   6.1737e-07


stats = 

  struct with fields:

    tstat: 8.5369
     pval: 6.1737e-07
       df: 14.0626

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<p>Therefore, the perseveration parameter is significantly larger than zero (p&lt;0.001).</p>
<p>In this example, the model-free model does not take any responsibility. In this situation, the HBI assigns prior values to the individual parameters. This prior value is 0 before transformation. Therefore, for parameters bounded in the unit range (e.g. learning rate), this prior value (after transformation) is 0.5, for decision noise parameter is 1 and for the reservation parameter is 0.</p>

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<div class=" highlight hl-matlab"><pre><span></span><span class="c">% 1st input is the file-address of the file saved by cbm_hbi</span>
<span class="n">fname_hbi</span> <span class="p">=</span> <span class="s">&#39;hbi_2step.mat&#39;</span><span class="p">;</span>

<span class="c">% 2nd input: a cell input containing model names</span>
<span class="n">model_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;Hybrid&#39;</span><span class="p">,</span> <span class="s">&#39;MB&#39;</span><span class="p">,</span> <span class="s">&#39;MF&#39;</span><span class="p">};</span>
<span class="c">% note that they corresponds to models (so pay attention to the order)</span>

<span class="c">% 3rd input: another cell input containing parameter names of the winning model</span>
<span class="n">param_names</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;\alpha_1&#39;</span><span class="p">,</span><span class="s">&#39;\alpha_2&#39;</span><span class="p">,</span><span class="s">&#39;\lambda&#39;</span><span class="p">,</span><span class="s">&#39;\beta_1&#39;</span><span class="p">,</span><span class="s">&#39;p&#39;</span><span class="p">,</span><span class="s">&#39;\beta_2&#39;</span><span class="p">};</span>

<span class="c">% 4th input: another cell input containing transformation function associated with each parameter of the winning model</span>
<span class="n">transform</span> <span class="p">=</span> <span class="p">{</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;sigmoid&#39;</span><span class="p">,</span><span class="s">&#39;exp&#39;</span><span class="p">,</span><span class="s">&#39;none&#39;</span><span class="p">,</span><span class="s">&#39;exp&#39;</span><span class="p">};</span>
<span class="c">% note that no transformation applied to parameter p (i.e perserveration) in the hybrid model, so we just pass &#39;none&#39;.</span>

<span class="n">cbm_hbi_plot</span><span class="p">(</span><span class="n">fname_hbi</span><span class="p">,</span> <span class="n">model_names</span><span class="p">,</span> <span class="n">param_names</span><span class="p">,</span> <span class="n">transform</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="c">% this function creates a model comparison plot (exceednace probability and model frequency) as well as </span>
<span class="c">% a plot of transformed parameters of the most frequent model.</span>
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<pre>There is no protected exceedance probability as cbm_hbi_null has not been executed
Plotting exceedance probability instead...
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<h1 id="Reference">Reference<a class="anchor-link" href="#Reference">&#182;</a></h1><p>If you use cbm, please cite this paper:</p>
<p>Piray P, Dezfouli A, Heskes T, Frank MJ, Daw ND. (2019) "Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies", PLoS Comp Biol. <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007043">Link</a></p>
<p>For a more formal description of the HBI algorithm, please see this paper.</p>

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