chap_4.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />

<title>CHAPTER4</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
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 * Bootstrap v3.3.7 (http://getbootstrap.com)
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/*! 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 {
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}
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 {
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  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;
    box-shadow: none !important;
    text-shadow: none !important;
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  a,
  a:visited {
    text-decoration: underline;
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  a[href]:after {
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  abbr[title]:after {
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  a[href^="#"]:after,
  a[href^="javascript:"]:after {
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  pre,
  blockquote {
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    page-break-inside: avoid;
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  thead {
    display: table-header-group;
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  tr,
  img {
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  img {
    max-width: 100% !important;
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  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
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  h2,
  h3 {
    page-break-after: avoid;
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  .navbar {
    display: none;
  }
  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
  }
  .label {
    border: 1px solid #000;
  }
  .table {
    border-collapse: collapse !important;
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  .table td,
  .table th {
    background-color: #fff !important;
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  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !important;
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}
@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 {
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}
.glyphicon-refresh:before {
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}
.glyphicon-list-alt:before {
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}
.glyphicon-lock:before {
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}
.glyphicon-flag:before {
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}
.glyphicon-headphones:before {
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}
.glyphicon-volume-off:before {
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}
.glyphicon-volume-down:before {
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}
.glyphicon-volume-up:before {
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}
.glyphicon-qrcode:before {
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}
.glyphicon-barcode:before {
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.glyphicon-tags:before {
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.glyphicon-bookmark:before {
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}
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}
.glyphicon-camera:before {
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}
.glyphicon-font:before {
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.glyphicon-bold:before {
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}
.glyphicon-italic:before {
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}
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}
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}
.glyphicon-align-right:before {
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}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
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}
.glyphicon-indent-left:before {
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}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
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}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
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}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
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}
.glyphicon-edit:before {
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}
.glyphicon-share:before {
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}
.glyphicon-check:before {
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}
.glyphicon-move:before {
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}
.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 {
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}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
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}
.glyphicon-remove-circle:before {
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}
.glyphicon-ok-circle:before {
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}
.glyphicon-ban-circle:before {
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}
.glyphicon-arrow-left:before {
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}
.glyphicon-arrow-right:before {
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}
.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 {
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}
.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 {
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}
.glyphicon-sound-5-1:before {
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}
.glyphicon-sound-6-1:before {
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}
.glyphicon-sound-7-1:before {
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}
.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 {
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.glyphicon-open-file:before {
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}
.glyphicon-level-up:before {
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}
.glyphicon-copy:before {
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}
.glyphicon-paste:before {
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}
.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 4.7.0 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=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#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;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.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;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-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 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-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 {
  -ms-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-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.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,
.fa-gratipay: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-pp: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-resistance: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-y-combinator-square:before,
.fa-yc-square:before,
.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";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  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;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* 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;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: 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 {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  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;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#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#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
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;
}
.modal-header {
  cursor: move;
}
@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;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* 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 {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
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 .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.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: text-bottom;
  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;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.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_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.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;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.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;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.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);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* 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;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  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,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@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. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.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. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

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;
}
div.output_area .mglyph > img {
  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: 1px 0 1px 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:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.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;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.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;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
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.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.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;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 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;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  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;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button: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);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.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 .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#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;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -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.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.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;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.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;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#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;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#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;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#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.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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 {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  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;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

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<h1 id="Chapter-4-Data-preprocessing">Chapter 4 Data preprocessing<a class="anchor-link" href="#Chapter-4-Data-preprocessing">&#182;</a></h1>
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<p>The methods we describe in this chapter are driven by financial applications. For an introduction to non-financial data processing, we recommend two references: chapter 3 from the general purpose ML book by Boehmke and Greenwell (2019) and the monograph on this dedicated subject by Kuhn and Johnson (2019).</p>

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<h2 id="4.1-Know-your-data">4.1 Know your data<a class="anchor-link" href="#4.1-Know-your-data">&#182;</a></h2>
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<p>The first step, as in any quantitative study, is obviously to make sure the data is trustworthy, i.e., comes from a reliable provider (a minima). The landscape in financial data provision is vast to say the least: some providers are well established (e.g., Bloomberg, Thomson-Reuters, Datastream, CRSP, Morningstar), some are more recent (e.g., Capital IQ, Ravenpack) and some focus on alternative data niches (see <a href="https://alternativedata.org/data-providers/">https://alternativedata.org/data-providers/</a> for an exhaustive list). Unfortunately, and to the best of our knowledge, no study has been published that evaluates a large spectrum of these providers in terms of data reliability.</p>

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<p>The second step is to have a look at <strong>summary statistics</strong>: ranges (minimum and maximum values), and averages and medians. Histograms or plots of time series carry of course more information but cannot be analyzed properly in high dimensions. They are nonetheless sometimes useful to track local patterns or errors for a given stock and/or a particular feature. Beyond first order moments, second order quantities (variances and covariances/correlations) also matter because they help spot colinearities. When two features are highly correlated, problems may arise in some models (e.g., simple regressions, see Section 15.1).</p>

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<p>Often, the number of predictors is so large that it is unpractical to look at these simple metrics. A minimal verification is recommended. To further ease the analysis:</p>

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<li>focus on a subset of predictors, e.g., the ones linked to the most common factors (market-capitalization, price-to-book or book-to-market, momentum (past returns), profitability, asset growth, volatility);</li>
<li>track outliers in the summary statistics (when the maximum/median or median/minimum ratios seem suspicious).</li>
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<p>Below, in Figure 4.1, we show a box plot that illustrates the distribution of correlations between features and the one month ahead return. The correlations are computed on a date-by-date basis, over the whole cross-section of stocks. They are mostly located close to zero, but some dates seem to experience extreme shifts. The market capitalization has the median which is the most negative while volatility is the only predictor with positive median correlation (this particular example seems to refute the low risk anomaly).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>

<span class="n">cols</span><span class="o">=</span><span class="p">[]</span>                                 <span class="c1"># cleaning the column list from previous use</span>
<span class="n">cols</span><span class="o">=</span> <span class="n">features_short</span><span class="o">+</span><span class="p">[</span><span class="s1">&#39;R1M_Usd&#39;</span><span class="p">,</span><span class="s1">&#39;date&#39;</span><span class="p">]</span> <span class="c1"># Keep few features, label &amp; dates</span>
<span class="n">data_corr</span> <span class="o">=</span> <span class="n">data_ml</span><span class="p">[</span><span class="n">cols</span><span class="p">]</span>               <span class="c1"># Creating the working dataset</span>
<span class="n">data_corr</span> <span class="o">=</span> <span class="n">data_corr</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;date&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">corr</span><span class="p">()[[</span><span class="s1">&#39;R1M_Usd&#39;</span><span class="p">]]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span> <span class="c1"># Group for computing correlation</span>
<span class="n">data_corr</span><span class="o">=</span> <span class="n">data_corr</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">data_corr</span><span class="p">[</span><span class="n">data_corr</span><span class="o">.</span><span class="n">level_1</span><span class="o">.</span><span class="n">str</span><span class="p">[</span><span class="o">-</span><span class="mi">7</span><span class="p">:]</span> <span class="o">!=</span> <span class="s2">&quot;R1M_Usd&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">]</span> <span class="c1"># removing correl=1 instances from label</span>
<span class="n">data_corr</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;level_1&#39;</span><span class="p">:</span> <span class="s2">&quot;Factors&quot;</span><span class="p">},</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="c1"># Renaming fro plotting later</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span>              <span class="c1"># resizing the chart</span>
<span class="n">sns</span><span class="o">.</span><span class="n">swarmplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;Factors&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s2">&quot;R1M_Usd&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data_corr</span><span class="p">);</span> <span class="c1"># Plot from seaborn</span>
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<p>FIGURE 4.1: Swarnplot of correlations with the 1M forward return (label).</p>

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<p>More importantly, when seeking to work with supervised learning (as we will do most of the time), the link of some features with the dependent variable can be further characterized by the smoothed <strong>conditional average</strong> because it shows how the features impact the label. The use of the conditional average has a deep theoretical grounding. Suppose there is only one feature<br>
$X$ and that we seek a model $Y=f(X)+\text{error}$, where variables are real-valued. The function $f$ that minimizes the average squared error $\mathbb{E}[(Y-f(X))^2]$ is the so-called regression function (see Section 2.4 in Hastie, Tibshirani, and Friedman (2009)):</p>

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\begin{equation}
\tag{4.1}
f(x)=\mathbb{E}[Y|X=x].
\end{equation}
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<p>In Figure 4.2, we plot two illustrations of this function when the dependent variable ($Y$) is the one month ahead return. The first one pertains to the average market capitalization over the past year and the second to the volatility over the past year as well. Both predictors have been uniformized (see Section 4.4.2 below) so that their values are uniformly distributed in the cross-section of assets for any given time period. Thus, the range of features is $[0,1]$ and is shown on the $x$-axis of the plot. The colored corridors around the lines show 95% level confidence interval for the computation of the mean. Essentially, it is narrow when both (i) many data points are available and (ii) these points are not too dispersed.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib</span> <span class="k">import</span> <span class="n">pyplot</span> <span class="k">as</span> <span class="n">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>

<span class="n">unpivoted_data_ml</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span><span class="n">data_ml</span><span class="p">[[</span><span class="s1">&#39;R1M_Usd&#39;</span><span class="p">,</span><span class="s1">&#39;Mkt_Cap_12M_Usd&#39;</span><span class="p">,</span><span class="s1">&#39;Vol1Y_Usd&#39;</span><span class="p">]],</span> <span class="n">id_vars</span><span class="o">=</span><span class="s1">&#39;R1M_Usd&#39;</span><span class="p">)</span> <span class="c1"># selecting and putting in vector</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">13</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">lineplot</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">unpivoted_data_ml</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;R1M_Usd&#39;</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s1">&#39;value&#39;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s1">&#39;variable&#39;</span><span class="p">);</span> <span class="c1"># Plot from seaborn</span>
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<p>FIGURE 4.2: Conditional expectations: average returns as smooth functions of features.</p>

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<p>The two variables have a close to monotonic impact on future returns. Returns, on average, decrease with market capitalization (thereby corroborating the so-called size effect). The reverse pattern is less pronounced for volatility: the curve is rather flat for the first half of volatility scores and progressively increases, especially over the last quintile of volatility values (thereby contradicting the low-volatility anomaly).</p>

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<p>One important empirical property of features is <strong>autocorrelation</strong> (or absence thereof). A high level of autocorrelation for one predictor makes it plausible to use simple imputation techniques when some data points are missing. But autocorrelation is also important when moving towards prediction tasks and we discuss this issue shortly below in Section 4.6. In Figure 4.3, we build the histogram of autocorrelations, computed stock-by-stock and feature-by-feature.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cols</span><span class="o">=</span><span class="p">[]</span>                                 <span class="c1"># cleaning the column list from previous use</span>
<span class="n">cols</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;stock_id&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_ml</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">3</span><span class="p">:</span><span class="mi">95</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="c1"># Keep all features and stockid</span>
<span class="c1"># below the nested line of code for sorting according the pair stockid/variable and then compute the acf</span>
<span class="n">data_hist_acf</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">melt</span><span class="p">(</span><span class="n">data_ml</span><span class="p">[</span><span class="n">cols</span><span class="p">],</span> <span class="n">id_vars</span><span class="o">=</span><span class="s1">&#39;stock_id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;stock_id&#39;</span><span class="p">,</span><span class="s1">&#39;variable&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;value&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">autocorr</span><span class="p">(</span><span class="n">lag</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">13</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>
<span class="n">data_hist_acf</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span><span class="nb">range</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mf">0.1</span><span class="p">,</span><span class="mi">1</span><span class="p">]);</span> <span class="c1"># Plot from pandas</span>
</pre></div>

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<p>FIGURE 4.3: Histogram of sample feature autocorrelations.</p>

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<h2 id="4.2---Missing-data">4.2   Missing data<a class="anchor-link" href="#4.2---Missing-data">&#182;</a></h2>
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<p>Similarly to any empirical discipline, portfolio management is bound to face missing data issues. The topic is well known and several books detail solutions to this problem (e.g., Allison (2001), Enders (2010), Little and Rubin (2014) and Van Buuren (2018)). While researchers continuously propose new methods to cope with absent points (Honaker and King (2010) or Che et al. (2018) to cite but a few), we believe that a simple, heuristic treatment is usually sufficient as long as some basic cautious safeguards are enforced.</p>

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<p>First of all, there are mainly two ways to deal with missing data: <strong>removal</strong> and <strong>imputation</strong>. Removal is agnostic but costly, especially if one whole instance is eliminated because of only one missing feature value. Imputation is often preferred but relies on some underlying and potentially erroneous assumption.</p>

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<p>A simplified classification of imputation is the following:</p>
<ul>
<li>A basic imputation choice is the median (or mean) of the feature for the stock over the past available values. If there is a trend in the time series, this will nonetheless alter the trend. Relatedly, this method can be forward-looking, unless the training and testing sets are treated separately.</li>
<li>In time series contexts with views towards backtesting, the most simple imputation comes from previous values: if $x_t$ is missing, replace it with $x_{t-1}$. This makes sense most of the time because past values are all that is available and are by definition backward-looking. However, in some particular cases, this may be a very bad choice (see words of caution below).</li>
<li>Medians and means can also be computed over the <strong>cross-section</strong> of assets. This roughly implies that the missing feature value will be relocated in the bulk of observed values. When many values are missing, this creates an atom in the distribution of the feature and alters the original distribution. One advantage is that this imputation is not forward-looking.</li>
<li>Many techniques rely on some modelling assumptions for the data generating process. We refer to nonparametric approaches (Stekhoven and Bühlmann (2011) and Shah et al. (2014), which rely on random forests, see Chapter 6), Bayesian imputation (Schafer (1999)), maximum likelihood approaches (Enders (2001), Enders (2010)), interpolation or extrapolation and nearest neighbor algorithms (Garcı́a-Laencina et al. (2009)). More generally, the four books cited at the begining of the subsection detail many such imputation processes. Advanced techniques are much more demanding computationally.</li>
</ul>

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<p>A few words of caution:</p>
<ul>
<li>Interpolation should be avoided at all cost. Accounting values or ratios that are released every quarter must never be linearly interpolated for the simple reason that this is forward-looking. If numbers are disclosed in January and April, then interpolating February and March requires the knowledge of the April figure, which, in live trading will not be known. Resorting to past values is a better way to go.</li>
<li>Nevertheless, there are some feature types for which imputation from past values should be avoided. First of all, returns should not be replicated. By default, a superior choice is to set missing return indicators to zero (which is often close to the average or the median). A good indicator that can help the decision is the persistence of the feature through time. If it is highly autocorrelated (and the time series plot create a smooth curve, like for market capitalization), then imputation from the past can make sense. If not, then it should be avoided.</li>
<li>There are some cases that can require more attention. Let us consider the following fictitious sample of dividend yield:</li>
</ul>

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<thead><tr>
<th>Date</th>
<th>Original yield</th>
<th>Replacement value</th>
</tr>
</thead>
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<td>2015-02</td>
<td>NA</td>
<td>preceding (if it exists)</td>
</tr>
<tr>
<td>2015-03</td>
<td>0.02</td>
<td>untouched (none)</td>
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<td>2015-04</td>
<td>NA</td>
<td>0.02 (previous)</td>
</tr>
<tr>
<td>2015-05</td>
<td>NA</td>
<td>0.02 (previous)</td>
</tr>
<tr>
<td>2015-06</td>
<td>NA</td>
<td>&lt;=Problem!</td>
</tr>
</tbody>
</table>

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<p>TABLE 4.1: Challenges with chronological imputation.</p>

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<p>In this case, the yield is released quarterly, in March, June, September, etc. But in June, the value is missing. The problem is that we cannot know if it is missing because of a genuine data glitch, or because the firm simply did not pay any dividends in June. Thus, imputation from past value may be erroneous here. There is no perfect solution but a decision must nevertheless be taken. For dividend data, three options are:</p>
<ol>
<li>Keep the previous value. In R, the function na.locf() from the zoo package is incredibly efficient for this task.</li>
<li>Extrapolate from previous observations (this is very different from <strong>inter</strong>polation): for instance, evaluate a trend on past data and pursue that trend.</li>
<li>Set the value to zero. This is tempting but may be sub-optimal due to dividend smoothing practices from executives (see for instance Leary and Michaely (2011) and Chen, Da, and Priestley (2012) for details on the subject). For persistent time series, the first two options are probably better.</li>
</ol>

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<p>Tests can be performed to evaluate the relative performance of each option. It is also important to <strong>remember</strong> these design choices. There are so many of them that they are easy to forget. Keeping track of them is obviously compulsory. In the ML pipeline, the <strong>scripts</strong> pertaining to data preparation are often key because they do not serve only once!</p>

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<h2 id="4.3-Outlier-detection">4.3 Outlier detection<a class="anchor-link" href="#4.3-Outlier-detection">&#182;</a></h2>
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<p>The topic of outlier detection is also well documented and has its own surveys (Hodge and Austin (2004), Chandola, Banerjee, and Kumar (2009) and Gupta et al. (2014)) and a few dedicated books (Aggarwal (2013) and Rousseeuw and Leroy (2005), though the latter is very focused on regression analysis).</p>

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<p>Again, incredibly sophisticated methods may require a lot of efforts for possibly limited gain. Simple heuristic methods, as long as they are documented in the process, may suffice. They often rely on ‘hard’ thresholds:</p>

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<ul>
<li>for one given feature (possibly filtered in time), any point outside the interval $[\mu-m\sigma, \mu+m\sigma]$ can be deemed an outlier. Here $μ$ is the mean of the sample and $σ$ the standard deviation. The multiple value $m$ usually belongs to the set $\{3, 5, 10\}$, which is of course arbitrary.</li>
<li>likewise, if the largest value is above $m$
times the second-to-largest, then it can also be classified as an outlier (the same reasoning applied for the other side of the tail).</li>
<li>finally, for a given small threshold $q$, any value outside the $[q,1-q]$ quantile range can be considered outliers.</li>
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<p>This latter idea was popularized by winsorization. Winsorizing amounts to setting to $x^{(q)}$ all values below  x(q)  and to x(1−q)  all values above  x(1−q) . The winsorized variable  ~x  is:</p>

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<p>$\tilde{x}_i=\left\{\begin{array}{ll}
x_i &amp; \text{ if }  x_i \in [x^{(q)},x^{(1-q)}] \quad \text{ (unchanged)}\\
x^{(q)} &amp; \text{ if }  x_i &lt; x^{(q)} \\
x^{(1-q)} &amp; \text{ if }  x_i &gt; x^{(1-q)}
 \end{array} \right. .$</p>

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<p>The range for  $q$ is usually  $(0.5\%, 5\%)$  with 1% and 2% being the most often used.</p>

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<p>The winsorization stage <strong>must</strong> be performed on a feature-by-feature and a date-by-date basis. However, keeping a time series perspective is also useful. For instance, a $800B market capitalization may seems out of range, except when looking at the history of Apple’s capitalization.</p>

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<p>We conclude this subsection by recalling that true outliers (i.e., extreme points that are not due to data extraction errors) are valuable because they are likely to carry important information.</p>

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<h2 id="4.4-feature-engineering">4.4 feature engineering<a class="anchor-link" href="#4.4-feature-engineering">&#182;</a></h2>
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<p>Feature engineering is a very important step of the portfolio construction process. Computer scientists often refer to the saying <em>“garbage in, garbage out”</em>. It is thus paramount to prevent the ML engine of the allocation to be trained on ill-designed variables. We invite the interested reader to have a look at the recent work of Kuhn and Johnson (2019) on this topic. The (shorter) academic reference is Guyon and Elisseeff (2003).</p>

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<h3 id="4.4.1-Feature-selection">4.4.1 Feature selection<a class="anchor-link" href="#4.4.1-Feature-selection">&#182;</a></h3>
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<p>The first step is selection. Given a large set of predictors, it seems a sound idea to filter out unwanted or redundant exogenous variables. Heuristically, simple methods include:</p>
<ul>
<li>computing the correlation matrix of all features and making sure that no (absolute) value is above a threshold (0.7 is a common value) so that redundant variables do not pollute the learning engine;</li>
<li>carrying out a linear regression and removing the non significant variables (e.g., those with p-value above 0.05).</li>
<li>perform a clustering analysis over the set of features and retain only one feature within each cluster (see Chapter 15).</li>
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<p>Both these methods are somewhat reductive and overlook nonlinear relationships. Another approach would be to fit a decision tree (or a random forest) and retain only the features that have a high variable importance. These methods will be developed in Chapter 6 for trees and Chapter 13 for variable importance.</p>

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<h3 id="4.4.2-Scaling-the-predictors">4.4.2 Scaling the predictors<a class="anchor-link" href="#4.4.2-Scaling-the-predictors">&#182;</a></h3>
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<p>The premise of the need to pre-process the data comes from the large variety of scales in financial data:</p>
<ul>
<li>returns are most of the time smaller than one in absolute value;</li>
<li>stock volatility lies usually between 5% and 80%;</li>
<li>market capitalization is expressed in million or billion units of a particular currency;</li>
<li>accounting values as well;</li>
<li>accounting ratios can have inhomogeneous units;</li>
<li>synthetic attributes like sentiment also have their idiosyncrasies.</li>
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<p>While it is widely considered that monotonic transformations of the features have a marginal impact on prediction outcomes, Galili and Meilijson (2016) show that this is not always the case (see also Section 4.8.2). Hence, the choice of normalization may in fact very well matter.</p>

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<p>If we write  xi  for the raw input and  ~xi  for the transformed data, common scaling practices include:</p>

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<ul>
<li><strong>standardization</strong>: $\tilde{x}_i=(x_i-m_x)/\sigma_x$, where mx and σx are the mean and standard deviation of x, respectively;</li>
<li><strong>min-max</strong> rescaling over [0,1]:$\tilde{x}_i=(x_i-\min(\mathbf{x}))/(\max(\mathbf{x})-\min(\mathbf{x}))$ </li>
<li><strong>min-max</strong> rescaling over [-1,1]:$\tilde{x}_i=2\frac{x_i-\min(\mathbf{x})}{\max(\mathbf{x})-\min(\mathbf{x})}-1$</li>
<li><strong>uniformization</strong>: $\tilde{x}_i=F_\mathbf{x}(x_i)$ where  Fx
is the empirical c.d.f. of x. In this case, the vector  ~x is defined to follow a uniform distribution over [0,1].</li>
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<p>Sometimes, it is possible to apply a logarithmic transform of variables with both large values (market capitalization) and large outliers. The scaling can come after this transformation. Obviously, this technique is prohibited for features with negative values.</p>

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<p>It is often advised to scale inputs so that they range in [0,1] before sending them through the training of neural networks for instance. The dataset that we use in this book is based on variables that have been uniformized: for each point in time, the cross-sectional distribution of each feature is uniform over the unit interval. In factor investing, the scaling of features must be <strong>operated separately for each date and each feature</strong>. This point is critical. It makes sure that for every rebalancing date, the predictors will have a similar shape and do carry information on the cross-section of stocks.</p>

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<p>Uniformization is sometimes presented differently: for a given characteristic and time, characteristic values are ranked and the rank is then divided by the number of non-missing points. This is done in Freyberger, Neuhierl, and Weber (2020) for example. In Kelly, Pruitt, and Su (2019), the authors perform this operation but then subtract 0.5 to all features so that their values lie in [-0.5,0.5].</p>

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<p>Scaling features across dates should be proscribed. Take for example the case of market capitalization. In the long run (market crashes notwithstanding), this feature increases through time. Thus, scaling across dates would lead to small values at the beginning of the sample and large values at the end of the sample. This would completely alter and dilute the cross-sectional content of the features.</p>

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<h2 id="4.5-Labelling">4.5 Labelling<a class="anchor-link" href="#4.5-Labelling">&#182;</a></h2>
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<h3 id="4.5.1-Simple-labels">4.5.1 Simple labels<a class="anchor-link" href="#4.5.1-Simple-labels">&#182;</a></h3>
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<p>There are several ways to define labels when constructing portfolio policies. Of course, the finality is the portfolio weight, but it is rarely considered as the best choice for the label.10</p>

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<p>Usual labels in factor investing are the following:</p>

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<ul>
<li>raw asset returns;</li>
<li>future relative returns (versus some benchmark: market-wide index, or sector-based portfolio for instance). One simple choice is to take returns minus a cross-sectional mean or median;</li>
<li>the probability of positive return (or of return above a specified threshold);</li>
<li>the probability of outperforming a benchmark (computed over a given time frame);</li>
<li>the binary version of the above: YES (outperforming) versus NO (underperforming);</li>
<li>risk-adjusted versions of the above: Sharpe ratios, information ratios, MAR or CALMAR ratios (see Section 12.3).</li>
</ul>

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<p>When creating binary variables, it is often tempting to create a test that compares returns to zero (profitable versus non profitable). This is not optimal because it is very much time-dependent. In good times, many assets will have positive returns, while in market crashes, few will experience positive returns, thereby creating very unbalanced classes. It is a better idea to split the returns in two by comparing them to their time-$t$ median (or average). In this case, the indicator is relative and the two classes are much more balanced.</p>

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<p>As we will discuss later in this chapter, these choices still leave room for additional degrees of freedom. Should the labels be rescaled, just like features are processed? What is the best time horizon on which to compute performance metrics?</p>

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<h3 id="4.5.2-Categorical-labels">4.5.2 Categorical labels<a class="anchor-link" href="#4.5.2-Categorical-labels">&#182;</a></h3>
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<p>In a typical ML analysis, when $y$ is a proxy for future performance, the ML engine will try to minimize some distance between the predicted value and the realized values. For mathematical convenience, the sum of squared error ($L^2$ norm) is used because it has the simplest derivative and makes gradient descent accessible and easy to compute.</p>
<p>Sometimes, it can be interesting not to focus on raw performance proxies, like returns or Sharpe ratios, but on discrete investment decisions, which can be derived from these proxies. A simple example (decision rule) is the following:</p>

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\begin{equation}
\tag{4.2}
y_{t,i}=\left\{  \begin{array}{rll}
-1 &amp; \text{ if } &amp; \hat{r}_{t,i} &lt; r_- \\
0 &amp; \text{ if } &amp; \hat{r}_{t,i} \in [r_-,r_+] \\
+1 &amp; \text{ if } &amp; \hat{r}_{t,i} &gt; r_+ \\
\end{array} \right.,
\end{equation}
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<p>where $\hat{r}_{t,i}$ is the performance proxy (e.g., returns or Sharpe ratio) and $r_\pm$ are the decision thresholds. When the predicted performance is below $r−$, the decision is -1 (e.g., sell), when it is above $r_+$, the decision is +1 (e.g., buy) and when it is in the middle (the model is neither very optimistic nor very pessimistic), then the decision is neutral (e.g., hold). The performance proxy can of course be relative to some benchmark so that the decision is directly related to this benchmark. It is often advised that the thresholds $r_\pm$ be chosen such that the three categories are relatively balanced, that is, so that they end up having a comparable number of instances.</p>

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<p>In this case, the final output can be considered as categorical or numerical because it belongs to an important subgroup of categorical variables: the ordered categorical (<strong>ordinal</strong>) variables. If $y$ is taken as a number, the usual regression tools apply.</p>

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<p>When $y$ is treated as a non-ordered (<strong>nominal</strong>) categorical variable, then a new layer of processing is required because ML tools only work with numbers. Hence, the categories must be recoded into digits. The mapping that is most often used is called ‘<strong>one-hot encoding</strong>’. The vector of classes is split in a sparse matrix in which each column is dedicated to one class. The matrix is filled with zeros and ones. A one is allocated to the column corresponding to the class of the instance. We provide a simple illustration in the table below.</p>

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<p>TABLE 4.2: Concise example of one-hot encoding.</p>

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<thead><tr>
<th>Initial data</th>
<th></th>
<th></th>
<th>One-hot</th>
<th>encoding</th>
</tr>
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<td>Position</td>
<td>Sell</td>
<td></td>
<td>Buy</td>
<td>Buy</td>
</tr>
<tr>
<td>buy</td>
<td>0</td>
<td></td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<td>buy</td>
<td>0</td>
<td></td>
<td>0</td>
<td>1</td>
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<td>hold</td>
<td>0</td>
<td></td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<td>sell</td>
<td>1</td>
<td></td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<td>buy</td>
<td>0</td>
<td></td>
<td>0</td>
<td>1</td>
</tr>
</tbody>
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<p>In classification tasks, the output has a larger dimension. For each instance, it gives the probability of belonging to each class assigned by the model. As we will see in Chapters 6 and 7, this is easily handled via the softmax function.</p>

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<p>From the standpoint of allocation, handling categorical predictions is not necessarily easy. For long-short portfolios, plus or minus one signals can provide the sign of the position. For long-only portfolio, two possible solutions: (i) work with binary classes (in versus out of the portfolio) or (ii) adapt weights according to the prediction: zero weight for a -1 prediction, 0.5 weight for a 0 prediction and full weight for a +1 prediction. Weights are then of course normalized so as to comply with the budget constraint.</p>

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<h3 id="4.5.3-The-triple-barrier-method">4.5.3 The triple barrier method<a class="anchor-link" href="#4.5.3-The-triple-barrier-method">&#182;</a></h3>
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<p>We conclude this section with an advanced labelling technique mentioned in De Prado (2018). The idea is to consider the full dynamics of a trading strategy and not a simple performance proxy. The rationale for this extension is that often money managers implement P&amp;L triggers that cash in when gains are sufficient or opt out to stop their losses. Upon inception of the strategy, three barriers are fixed (see Figure 4.4):</p>

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<li>one above the current level of the asset (magenta line), which measures a reasonable expected profit;</li>
<li>one below the current level of the asset (cyan line), which acts as a stop-loss signal to prevent large negative returns;</li>
<li>and finally, one that fixes the horizon of the strategy after which it will be terminated (black line).</li>
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<p>If the strategy hits the first (resp. second) barrier, the output is +1 (resp. -1), and if it hits the last barrier, the output is equal to zero or to some linear interpolation (between -1 and +1) that represents the position of the terminal value relative to the two horizontal barriers. Computationally, this method is <strong>much</strong> more demanding, as it evaluates a whole trajectory for each instance. Again, it is nonetheless considered as more realistic because trading strategies are often accompanied with automatic triggers such as stop-loss, etc.</p>

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<p><img src="http://www.mlfactor.com/images/triple_bar.png"></p>

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<p>FIGURE 4.4: Illustration of the triple barrier method.</p>

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<h3 id="4.5.4-Filtering-the-sample">4.5.4 Filtering the sample<a class="anchor-link" href="#4.5.4-Filtering-the-sample">&#182;</a></h3>
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<p>One of the main challenges in Machine Learning is to extract as much <strong>signal</strong> as possible. By signal, we mean patterns that will hold out-of-sample. Intuitively, it may seem reasonable to think that the more data we gather, the more signal we can extract. This is in fact false in all generality because more data also means more noise. Surprisingly, filtering the training samples can improve performance. This idea was for example implemented successfully in Fu et al. (2018), Guida and Coqueret (2018a) and Guida and Coqueret (2018b).</p>

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<p>In Coqueret and Guida (2020), we investigate why smaller samples may lead to superior out-of-sample accuracy for a particular type of ML algorithm: decision trees (see Chapter 6). We focus on a particular kind of filter: we exclude the labels (e.g., returns) that are not extreme and retain the 20% values that are the smallest and the 20% that are the largest (the bulk of the distribution is removed). In doing so, we alter the structure of trees in two ways:</p>

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<li>when the splitting points are altered, they are always closer to the center of the distribution of the splitting variable (i.e., the resulting clusters are more balanced and possibly more robust);</li>
<li>the choice of splitting variables is (sometimes) pushed towards the features that have a monotonic impact on the label.</li>
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<p>These two properties are desirable. The first reduces the risk of fitting to small groups of instances that may be spurious. The second gives more importance to features that appear globally more relevant in explaining the returns. However, the filtering must not be too intense. If, instead of retaining 20% of each tail of the predictor, we keep just 10%, then the loss in signal becomes too severe and the performance deteriorates.</p>

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<h3 id="4.5.5-Return-horizons">4.5.5 Return horizons<a class="anchor-link" href="#4.5.5-Return-horizons">&#182;</a></h3>
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<p>This subsection deals with one of the least debated issues in factor-based machine learning models: horizons. Several horizons come into play during the whole ML-driven allocation workflow: the <strong>horizon of the label</strong>, the <strong>estimation window</strong> (chronological depth of the training samples) and the <strong>holding periods</strong>. One early reference that looks at these aspects is the founding academic paper on momentum by Jegadeesh and Titman (1993). The authors compute the profitability of portfolios based on the returns over the past $J=3, 6, 9, 12$ months. Four holding periods are tested: $K=3,6,9,12$ months. They report: “<em>The most successful zero-cost (long-short) strategy selects stocks based on their returns over the previous 12 months and then holds the portfolio for 3 months.</em>” While there is no machine learning whatsoever in this contribution, it is possible that their conclusion that horizons matter may also hold for more sophisticated methods. This topic is in fact much discussed, as is shown by the continuing debate on the impact of horizons in momentum profitability (see, e.g., Novy-Marx (2012), Gong, Liu, and Liu (2015) and Goyal and Wahal (2015)).</p>

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<p>This debate should also be considered when working with ML algorithms. The issues of estimation windows and holding periods are mentioned later in the book, in Chapter 12. Naturally, in the present chapter, the horizon of the label is the important ingredient. Heuristically, there are four possible combinations if we consider only one feature for simplicity:</p>
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<li>oscillating label and feature;</li>
<li>oscillating label, smooth feature (highly autocorrelated);</li>
<li>smooth label, oscillating feature;</li>
<li>smooth label and feature.</li>
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<p>Of all of these options, the last one is probably preferable because it is more robust, all things being equal.11 By <em>all things being equal</em>, we mean that in each case, a model is capable of extracting some relevant pattern. A pattern that holds between two slowly moving series is more likely to persist in time. Thus, since features are often highly autocorrelated (cf Figure 4.3), combining them with smooth labels is probably a good idea. To illustrate how critical this point is, we will purposefully use 1-month returns in most of the examples of the book and show that the corresponding results are often disappointing. These returns are very weakly autocorrelated while 6-month or 12-month returns are much more persistent and are better choices for labels.</p>

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<p>Theoretically, it is possible to understand why that may be the case. For simplicity, let us assume a single feature $x$ that explains returns $r_{t+1}=f(x_t)+e_{t+1}$. If $xt$ is highly autocorrelated and the noise embeded in $e_{t+1}$ is not too large, then the two-period ahead return  $(1+r_{t+1})(1+r_{t+2})-1$ may carry more signal than $r_{t+1}$ because the relationship with $x_t$ has diffused and compounded through time. Consequently, it may also be beneficial to embed memory considerations directly into the modelling function, as is done for instance in Matthew F Dixon (2020). We discuss some practicalities related to autocorrelations in the next section.</p>

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<h2 id="4.6-Handling-persistence">4.6 Handling persistence<a class="anchor-link" href="#4.6-Handling-persistence">&#182;</a></h2>
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<p>While we have separated the steps of feature engineering and labelling in two different subsections, it is probably wiser to consider them jointly. One important property of the dataset processed by the ML algorithm should be the consistency of persistence between features and labels. Intuitively, the autocorrelation patterns between the label $y_{t,n}$ (future performance) and the features $x_{t,n}^{(k)}$ should not be too distant.</p>

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<p>One problematic example is when the dataset is sampled at the monthly frequency (not unusual in the money management industry) with the labels being monthly returns and the features being risk-based or fundamental attributes. In this case, the label is very weakly autocorrelated, while the features are often highly autocorrelated. In this situation, most sophisticated forecasting tools will arbitrage between features which will probably result in a lot of noise. In linear predictive models, this configuration is known to generate bias in estimates (see the study of Stambaugh (1999) and the review by Gonzalo and Pitarakis (2018)).</p>

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<p>Among other more technical options, there are two simple solutions when facing this issue: either introduce autocorrelation into the label, or remove it from the features. Again, the first option is not advised for statistical inference on linear models. Both are rather easy econometrically:</p>

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<li>to increase the autocorrelation of the label, compute performance over longer time ranges. For instance, when working with monthly data, considering annual or biennial returns will do the trick.</li>
<li>to get rid of autocorrelation, the shortest route is to resort to differences/variations:$\Delta x_{t,n}^{(k)}=x_{t,n}^{(k)}-x_{t-1,n}^{(k)}$. One advantage of this procedure is that it makes sense, economically: variations in features may be better drivers of performance, compared to raw levels.</li>
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<p>A mix between persistent and oscillating variables in the feature space is of course possible, as long as it is driven by economic motivations.</p>

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<h2 id="4.7-Extensions">4.7 Extensions<a class="anchor-link" href="#4.7-Extensions">&#182;</a></h2>
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<h3 id="4.7.1">4.7.1<a class="anchor-link" href="#4.7.1">&#182;</a></h3>
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<p>The feature space can easily be augmented through simple operations. One of them is lagging, that is, considering older values of features and assuming some memory effect for their impact on the label. This is naturally useful mostly if the features are oscillating (adding a layer of memory on persistent features can be somewhat redundant). New variables are defined by $\breve{x}_{t,n}^{(k)}=x_{t-1,n}^{(k)}$</p>

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<p>In some cases (e.g., insufficient number of features), it is possible to consider ratios or products between features. Accounting ratios like price-to-book, book-to-market, debt-to-equity are examples of functions of raw features that make sense. The gains brought by a larger spectrum of features are not obvious. The risk of overfitting increases, just like in a simple linear regression adding variables mechanically increases the $R^2$. The choices must make sense, economically.</p>

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<p>Another way to increase the feature space (mentioned above) is to consider variations. Variations in sentiment, variations in book-to-market ratio, etc., can be relevant predictors because sometimes, the change is more important than the level. In this case, a new predictor is $\breve{x}_{t,n}^{(k)}=x_{t,n}^{(k)}-x_{t-1,n}^{(k)}$</p>

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<h3 id="4.7.2-Macro-economic-variables">4.7.2 Macro-economic variables<a class="anchor-link" href="#4.7.2-Macro-economic-variables">&#182;</a></h3>
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<p>Finally, we discuss a very important topic. The data should never be separated from the context it comes from (its environment). In classical financial terms, this means that a particular model is likely to depend on the overarching situation which is often proxied by macro-economic indicators. One way to take this into account at the data level is simply to multiply the feature by an exogenous indicator $z_{t}$ and in this case, the new predictor is</p>

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\begin{equation}
\tag{4.3}
\breve{x}_{t,n}^{(k)}=z_t \times x_{t,n}^{(k)}
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<p>This technique is used by Gu, Kelly, and Xiu (2020b) who use 8 economic indicators (plus the original predictors $(z_t=1))$. This increases the feature space ninefold.</p>

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<p>Another route that integrates shifting economic environments is conditional engineering. Suppose that labels are coded via formula (4.2). The thresholds can be made dependent on some exogenous variable. In times of turbulence, it might be a good idea to increase both $r_+$ (buy threshold) and $r_-$ (sell threshold) so that the labels become more conservative: it takes a higher return to make it to the buy category, while short positions are favored. One such example of dynamic thresholding could be</p>

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\begin{equation}
\tag{4.4}
r_{t,\pm}=r_{\pm} \times e^{\pm\delta(\text{VIX}_t-\bar{\text{VIX}})},
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<p>where $\text{VIX}_t$ is the time-$t$ value of the VIX, while $\bar{\text{VIX}}$
 is some average or median value. When the VIX is above its average and risk seems to be increasing, the thresholds also increase. The parameter $\delta$ tunes the magnitude of the correction. In the above example, we assume $r_-&lt;0&lt;r_+$.</p>

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<h3 id="4.7.3-Active-learning">4.7.3 Active learning<a class="anchor-link" href="#4.7.3-Active-learning">&#182;</a></h3>
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<p>We end this section with the notion of active learning. To the best of our knowledge, it is not widely used in quantitative investment, but the underlying concept is enlightening, hence we dedicate a few paragraphs to this notion for the sake of completeness.</p>

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<p>In general supervised learning, there is sometimes an asymmetry in the ability to gather features versus labels. For instance, it is free to have access to images, but the labelling of the content of the image (e.g., “a dog”, “a truck”, “a pizza”, etc.) is costly because it requires human annotation. In formal terms, $\textbf{X}$ is cheap but the corresponding $\textbf{y}$ is expensive.</p>

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<p>As is often the case when facing cost constraints, an evident solution is greed. Ahead of the usual learning process, a filter (often called query) is used to decide which data to label and train on (possibly in relationship with the ML algorithm). The labelling is performed by a so-called oracle (which/who knows the truth), usually human. This technique that focuses on the most informative instances is referred to as <strong>active learning</strong>. We refer to the surveys of Settles (2009) and Settles (2012) for a detailed account of this field (which we briefly summarize below). The term <strong>active</strong> comes from the fact that the learner does not passively accept data samples but actively participates in the choices of items it learns from.</p>

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<p>One major dichotomy in active learning pertains to the data source $\textbf{X}$ on which the query is based. One obvious case is when the original sample $\textbf{X}$ is very large and not labelled and the learner asks for particular instances within this sample to be labelled. The second case is when the learner has the ability to simulate/generate its own values $\textbf{x}_i$. This can sometimes be problematic if the oracle does not recognize the data that is generated by the machine. For instance, if the purpose is to label images of characters and numbers, the learner may generate shapes that do not correspond to any letter or digit: the oracle cannot label it.</p>

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<p>In active learning, one key question is, how does the learner choose the instances to be labelled? Heuristically, the answer is by picking those observations that maximize learning efficiency. In binary classification, a simple criterion is the probability of belonging to one particular class. If this probability is far from 0.5, then the algorithm will have no difficulty of picking one class (even though it can be wrong). The interesting case is when the probability is close to 0.5: the machine may hesitate for this particular instance. Thus, having the oracle label it is useful in this case because it helps the learner in a configuration in which it is undecided.</p>

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<p>Other methods seek to estimate the fit that can be obtained when including particular (new) instances in the training set, and then to optimize this fit. Recalling Section 3.1 in Geman, Bienenstock, and Doursat (1992) on the variance-bias tradeoff, we have, for a training dataset $D$ and one instance $x$ (we omit the bold font for simplicity),</p>

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<p>$\mathbb{E}\left[\left.(y-\hat{f}(x;D))^2\right|\{D,x\}\right]=\mathbb{E}\left[\left.\underbrace{(y-\mathbb{E}[y|x])^2}_{\text{indep. from }D\text{ and }\hat{f}} \right|\{D,x\} \right]+(\hat{f}(x;D)-\mathbb{E}[y|x])^2,$</p>

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<p>where the notation $f(x;D)$ is used to highlight the dependence between the model $\hat{f}$ and the dataset $D$
 : the model has been trained on<br>
D
 . The first term is irreducible, as it does not depend on<br>
^
f
 . Thus, only the second term is of interest. If we take the average of this quantity, taken over all possible values of<br>
D
 :</p>

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<p>$\mathbb{E}_D\left[(\hat{f}(x;D)-\mathbb{E}[y|x])^2  \right]=\underbrace{\left(\mathbb{E}_D\left[\hat{f}(x;D)-\mathbb{E}[y|x]\right]\right)^2}_{\text{squared bias}} \ + \ \underbrace{\mathbb{E}_D\left[(\hat{f}(x,D)-\mathbb{E}_D[\hat{f}(x;D)])^2\right]}_{\text{variance}}$</p>

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<p>If this expression is not too complicated to compute, the learner can query the $x$ that minimizes the tradeoff. Thus, on average, this new instance will be the one that yields the best learning angle (as measured by the $L2$ error). Beyond this approach (which is limited because it requires the oracle to label a possibly irrelevant instance), many other criteria exist for querying and we refer to section 3 from Settles (2009) for an exhaustive list.</p>

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<p>One final question: is active learning applicable to factor investing? One straightfoward answer is that data cannot be annotated by human intervention. Thus, the learners cannot simulate their own instances and ask for corresponding labels. One possible option is to provide the learner with $\textbf{X}$  but not $\textbf{y}$ and keep only a queried subset of observations with the corresponding labels. In spirit, this is close to what is done in Coqueret and Guida (2020) except that the query is not performed by a machine but by the human user. Indeed, it is shown in this paper that not all observations carry the same amount of signal. Instances with ‘average’ label values seem to be on average less informative compared to those with extreme label values.</p>

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<h2 id="4.8-Additional-code-and-results">4.8 Additional code and results<a class="anchor-link" href="#4.8-Additional-code-and-results">&#182;</a></h2>
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<h3 id="4.8.1-Impact-of-rescaling:-graphical-representation">4.8.1 Impact of rescaling: graphical representation<a class="anchor-link" href="#4.8.1-Impact-of-rescaling:-graphical-representation">&#182;</a></h3>
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<p>We start with a simple illustration of the different scaling methods. We generate an arbitrary series and then rescale it. The series is not random so that each time the code chunk is executed, the output remains the same.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">length</span> <span class="o">=</span> <span class="mi">100</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">length</span><span class="p">,</span><span class="n">length</span><span class="p">)))</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">x</span><span class="p">,</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;X&#39;</span><span class="p">])</span>
<span class="n">data</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">13</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span> <span class="c1"># resizing figure</span>
<span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="s2">&quot;X&quot;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">x</span><span class="o">=</span><span class="s2">&quot;index&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">);</span> <span class="c1"># Plot from Seaborn</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;index&#39;</span><span class="p">][::</span><span class="mi">10</span><span class="p">]);</span>   <span class="c1"># reshape the xtick every 10 observations</span>
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<p>We define and plot the scaled variables below.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">statsmodels.distributions.empirical_distribution</span> <span class="k">import</span> <span class="n">ECDF</span> <span class="c1"># to use the ECDF built in function</span>
<span class="k">def</span> <span class="nf">norm_0_1</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="k">return</span> <span class="p">(</span><span class="n">x</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">x</span><span class="p">))</span><span class="o">/</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">x</span><span class="p">)</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">norm_unif</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="k">return</span> <span class="p">(</span><span class="n">ECDF</span><span class="p">(</span><span class="n">x</span><span class="p">)(</span><span class="n">x</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">norm_standard</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="k">return</span> <span class="p">(</span><span class="n">x</span><span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">x</span><span class="p">))</span><span class="o">/</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>

<span class="n">data_norm</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span> <span class="c1"># ensembling numpy arrays into a dict and then a pd dataframe</span>
<span class="n">index</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="n">length</span><span class="p">,</span><span class="n">length</span><span class="p">),</span> <span class="c1"># creating the index</span>
<span class="n">norm_0_1</span><span class="o">=</span><span class="n">norm_0_1</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="c1"># normalisation [0,1]</span>
<span class="n">norm_standard</span><span class="o">=</span><span class="n">norm_standard</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="c1"># standardisation</span>
<span class="n">norm_unif</span><span class="o">=</span><span class="n">norm_unif</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span> <span class="c1"># Uniformisation</span>
<span class="n">data_norm</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">:</span><span class="mi">4</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span><span class="mi">10</span><span class="p">),</span> <span class="n">subplots</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">);</span> <span class="c1"># Plot</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;index&#39;</span><span class="p">][::</span><span class="mi">10</span><span class="p">]);</span>   <span class="c1"># reshape the xtick every 10 observations</span>
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<p>Finally, we look at the histogram of the newly created variables.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_norm</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">:</span><span class="mi">4</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">14</span><span class="p">,</span><span class="mi">5</span><span class="p">));</span> <span class="c1"># Plot from pandas, alphas=opacity</span>
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6ruqKrr11l2alX9uKqWjX8c8ahSAwAADGig0tNae1aS/5bkiUmWVNU/VNVhG9ns00leuJ7lZ7TW9hv/uGCT0gIAAGyiga/paa3dlOTdSd6Z5JAkZ1XVjVV1zAbWvzzJfw4lJQAAwKM06DU9+1TVGUmWJ3lukj9urc0ff3zGJu7zrVV13fjpbzMfYZ/HV9WSqlpy5513buIuAAAA1hh0pufDSa5Nsm9r7S2ttWuTpLV2e9bM/gzqo0l2T7Jfkp8k+esNrdhaO7u1NtZaG5s1a9Ym7AIAAOC/TB9wvSOS/La1tjpJqmqrJDNaa79prX1m0J211n76wOOq+niSr29KWAAAgE016EzPxUl+b53n240v2yRVNXudp0cnuX5D6wIAAAzDoDM9M1prv3rgSWvtV1W13SNtUFXnJVmUZKeqWpHklCSLqmq/JC3JrUne8GhCAwAADGrQ0vPrqlr4wLU8VXVAkt8+0gattVetZ/EnNzEfAADAZhm09LwjyReq6vbx57OTvKKbSAAAAMMzUOlprV1TVU9N8pQkleTG1tr9nSYDAAAYgkFnepLk6UnmjW+zf1Wltfb3naQCAAAYkoFKT1V9Jmt+v86yJKvHF7ckSg8AALBFG3SmZyzJ01prrcswAAAAwzZo6bk+yR8m+UmHWQB4iDMu+n5nY59w2J6djQ0AW5JBS89OSW6oqquT3PvAwtbakZ2kAgAAGJJBS8+pXYYAAADoyqC3rL6sqp6UZI/W2sVVtV2Sad1GAwAA2HxbDbJSVb0+yT8m+bvxRU9I8uWuQgEAAAzLQKUnyVuSHJzk7iRprd2UZOeuQgEAAAzLoKXn3tbafQ88qarpWfN7egAAALZog5aey6rqXUl+r6oOS/KFJF/rLhYAAMBwDFp6TkxyZ5LvJnlDkguSvLurUAAAAMMy6N3bfpfk4+MfAAAAk8ZApaeqbsl6ruFpre029EQAAABDNOgvJx1b5/GMJC9L8rjhxwEAABiuga7paa2tXOfjx621M5M8t+NsAAAAm23Q09sWrvN0q6yZ+dm+k0QAAABDNOjpbX+9zuNVSW5N8vKhpwEAABiyQe/edmjXQQAAALow6Olt/+ORXm+t/c1w4gAAAAzXpty97elJvjr+/I+TXJ7kti5CAQAADMugpWenJAtba79Mkqo6NckXWmuv6yoYAADAMAx0y+okc5Pct87z+5LMG3oaAACAIRt0puczSa6uqi8laUmOTvL3naUCAAAYkkHv3vaeqrowybPHF/1Za+3b3cUCABi+My76fmdjn3DYnp2NDWyeQU9vS5LtktzdWvtgkhVVtWtHmQAAAIZmoNJTVackeWeSk8YXbZ3k/3QVCgAAYFgGnek5OsmRSX6dJK2125Ns31UoAACAYRm09NzXWmtZcxODVNVjuosEAAAwPIOWns9X1d8l+YOqen2Si5N8vLtYAAAAw7HRu7dVVSU5P8lTk9yd5ClJTm6tXdRxNgAAgM220dLTWmtV9eXW2gFJFB0AAGBSGfT0tm9V1dM7TQIAANCBgX45aZJDk7yxqm7Nmju4VdZMAu3TVTAAAIBheMTSU1VzW2s/SvKiCcoDAAAwVBub6flykoWttX+vqi+21l46EaEAAACGZWPX9NQ6j3frMggAAEAXNlZ62gYeAwAATAobO71t36q6O2tmfH5v/HHyXzcy+P1O0wEAAGymRyw9rbVpExUEAACgC4P+np5NVlXnVNUdVXX9OsseV1UXVdVN459ndrV/AACApMPSk+TTSV74kGUnJrmktbZHkkvGnwMAAHSms9LTWrs8yX8+ZPFRSc4df3xukpd0tX8AAICk25me9Xl8a+0nSTL+eecJ3j8AADDFbOzubSNTVccnOT5J5s6dO+I0AP3zkWUf6XT8N+/35k7H7zL/ZM6edJt/MmdPkmvvPr/D0f9Xh2MDm2OiZ3p+WlWzk2T88x0bWrG1dnZrbay1NjZr1qwJCwgAAPTLRJeeryY5bvzxcUm+MsH7BwAAppgub1l9XpIrkzylqlZU1WuTvC/JYVV1U5LDxp8DAAB0prNrelprr9rAS8/rap8AAAAPNdGntwEAAEwopQcAAOg1pQcAAOg1pQcAAOg1pQcAAOg1pQcAAOi1zm5ZDcDmu/bu87sb/O7uhl7jI13voDMfWTZ5syeTO/+ffvGvRh0B6CEzPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK9NH3UAJtji93Y39qEndTc2AAA8SmZ6AACAXlN6AACAXlN6AACAXlN6AACAXlN6AACAXlN6AACAXlN6AACAXlN6AACAXlN6AACAXps+6gA8xOL3jjoBwFBcefPKTsd/5u47djo+QC90/W/LQ0/qdvwhMdMDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD0mtIDAAD02vRRBwCAR+PKm1d2NvYzd9+xs7EBmHhmegAAgF5TegAAgF5TegAAgF5TegAAgF5TegAAgF4byd3bqurWJL9MsjrJqtba2ChyAAAA/TfKW1Yf2lr72Qj3DwAATAFObwMAAHptVKWnJfl/VbW0qo4fUQYAAGAKGNXpbQe31m6vqp2TXFRVN7bWLl93hfEydHySzJ07dxQZATbq2rvPH3UEOnDlzSs7Hf+Zu+/Y6fhd5u86O0AXRjLT01q7ffzzHUm+lOQZ61nn7NbaWGttbNasWRMdEQAA6IkJLz1V9Ziq2v6Bx0kOT3L9ROcAAACmhlGc3vb4JF+qqgf2/w+ttW+MIAcAADAFTHjpaa39MMm+E71fAABganLLagAAoNeUHgAAoNeUHgAAoNeUHgAAoNeUHgAAoNdGcctq+mrxe7sd/9CTuh2/S743wDquvHnlqCM8apM5O2yRuv43AknM9AAAAD2n9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL2m9AAAAL02fdQBYGCL39vt+Iee1O34jEbXPzcdm3P30s7GXvH7B3Q2dtJt9qT7/Kyf4/oIJvvfU13mn8zZE/9G6AEzPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK8pPQAAQK9NH3UA2GJ0/ducuzSZs8MWaM7dS0cdYbOs+P0DRh3hUev6ez+ZvzeT2mT/e2qy58dMDwAA0G9KDwAA0GtKDwAA0GtKDwAA0GtKDwAA0GtKDwAA0GtKDwAA0GtKDwAA0GtKDwAA0GvTRx0AYDLr+rfHd2kyZ08mf35Go9Ofm8cd2N3YwGYx0wMAAPSa0gMAAPSa0gMAAPSa0gMAAPSa0gMAAPSa0gMAAPTaSEpPVb2wqv6tqn5QVSeOIgMAADA1THjpqappSf42yYuSPC3Jq6rqaROdAwAAmBpGMdPzjCQ/aK39sLV2X5LPJTlqBDkAAIApYBSl5wlJblvn+YrxZQAAAEM3fQT7rPUsaw9bqer4JMePP/1VVf1bp6m2DDsl+dmoQzBhHO+pxzGfekZ0zL8y8bsk78tXOj7e7+puaB4tf65vWT+XT9rQC6MoPSuSPHGd53OS3P7QlVprZyc5e6JCbQmqaklrbWzUOZgYjvfU45hPPY751OJ4Tz2O+eQxitPbrkmyR1XtWlXbJHllkq+OIAcAADAFTPhMT2ttVVW9Nck/J5mW5JzW2vcmOgcAADA1jOL0trTWLkhywSj2vYWbUqfz4XhPQY751OOYTy2O99TjmE8S1drD7iEAAADQG6O4pgcAAGDCKD0jVFUvq6rvVdXvqmqDd/6oqhdW1b9V1Q+q6sSJzMjwVNXjquqiqrpp/PPMDay3uqqWjX+4yccktLH3bFVtW1Xnj79+VVXNm/iUDMsAx/vVVXXnOu/r140iJ8NRVedU1R1Vdf0GXq+qOmv85+G6qlo40RkZrgGO+aKq+sU67/GTJzojG6f0jNb1SY5JcvmGVqiqaUn+NsmLkjwtyauq6mkTE48hOzHJJa21PZJcMv58fX7bWttv/OPIiYvHMAz4nn1tkp+31p6c5Iwk75/YlAzLJvwZff467+tPTGhIhu3TSV74CK+/KMke4x/HJ/noBGSiW5/OIx/zJLlinff4/56ATGwipWeEWmvLW2sb+6Wrz0jyg9baD1tr9yX5XJKjuk9HB45Kcu7443OTvGSEWejOIO/ZdX8W/jHJ86pqfb+4mS2fP6OnmNba5Un+8xFWOSrJ37c1vpXkD6pq9sSkowsDHHMmAaVny/eEJLet83zF+DImn8e31n6SJOOfd97AejOqaklVfauqFKPJZ5D37Np1WmurkvwiyY4Tko5hG/TP6JeOn+r0j1X1xPW8Tn/4e3tqemZVfaeqLqyqBaMOw8ON5JbVU0lVXZzkD9fz0v9srX1lkCHWs8wt97ZQj3S8N2GYua2126tqtyT/UlXfba3dPJyETIBB3rPe1/0xyLH8WpLzWmv3VtUbs2aW77mdJ2NUvL+nnmuTPKm19quqOiLJl7Pm9Ea2IEpPx1prz9/MIVYkWfd/BeckuX0zx6Qjj3S8q+qnVTW7tfaT8VMd7tjAGLePf/5hVV2aZP8kSs/kMch79oF1VlTV9CQ7xKkTk9VGj3drbeU6Tz8e13D1nb+3p5jW2t3rPL6gqj5SVTu11n42ylw8mNPbtnzXJNmjqnatqm2SvDKJO3pNTl9Nctz44+OSPGymr6pmVtW24493SnJwkhsmLCHDMMh7dt2fhT9J8i/NL02brDZ6vB9yPceRSZZPYD4m3leT/Pfxu7gdlOQXD5zaTD9V1R8+cF1mVT0ja/59vfKRt2KimekZoao6OsmHksxK8n+rallr7QVVtUuST7TWjmitraqqtyb55yTTkpzTWvveCGPz6L0vyeer6rVJfpTkZUkyfrvyN7bWXpdkfpK/q6rfZc0fmu9rrSk9k8iG3rNV9b+TLGmtfTXJJ5N8pqp+kDUzPK8cXWI2x4DH+21VdWSSVVlzvF89ssBstqo6L8miJDtV1YokpyTZOklaax9LckGSI5L8IMlvkvzZaJIyLAMc8z9J8qaqWpXkt0le6T+ytjzlmAAAAH3m9DYAAKDXlB4AAKDXlB4AAKDXlB4AAKDXlB4AAKDXlB4AAKDXlB4AAKDXlB4AAKDX/j8saC9jV5tkngAAAABJRU5ErkJggg==
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<p>With respect to shape, the blue and orange distributions are close to the original one. It is only the support that changes: the min/max rescaling ensures all values lie in the $[0,1]$ interval. In both cases, the smallest values (on the left) display a spike in distribution. By construction, this spike disappears under the uniformization: the points are evenly distributed over the unit interval.</p>

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<h3 id="4.8.2-Impact-of-rescaling:-toy-example">4.8.2 Impact of rescaling: toy example<a class="anchor-link" href="#4.8.2-Impact-of-rescaling:-toy-example">&#182;</a></h3>
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<p>To illustrate the impact of choosing one particular rescaling method,$^{13}$ we build a simple dataset, comprising 3 firms and 3 dates.</p>

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<div class="prompt input_prompt">In&nbsp;[58]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">statsmodels.api</span> <span class="k">as</span> <span class="nn">sm</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="k">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">Markdown</span>
<span class="n">cap</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">10</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">100</span><span class="p">,</span> <span class="c1"># Market capitalization</span>
              <span class="mi">15</span><span class="p">,</span><span class="mi">10</span><span class="p">,</span><span class="mi">15</span><span class="p">,</span>
              <span class="mi">200</span><span class="p">,</span><span class="mi">120</span><span class="p">,</span><span class="mi">80</span><span class="p">])</span>
<span class="n">returns</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.06</span><span class="p">,</span><span class="mf">0.01</span><span class="p">,</span><span class="o">-</span><span class="mf">0.06</span><span class="p">,</span> <span class="c1"># Return values</span>
        <span class="o">-</span><span class="mf">0.03</span><span class="p">,</span><span class="mf">0.00</span><span class="p">,</span><span class="mf">0.02</span><span class="p">,</span>
        <span class="o">-</span><span class="mf">0.04</span><span class="p">,</span><span class="o">-</span><span class="mf">0.02</span><span class="p">,</span><span class="mf">0.00</span><span class="p">])</span>
<span class="n">date</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</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="mi">2</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="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span> <span class="c1"># Dates</span>
<span class="n">firm</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</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="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span> <span class="c1"># Firms (3 lines for each)</span>
<span class="n">toy_data</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">firm</span><span class="o">=</span><span class="n">firm</span><span class="p">,</span><span class="n">date</span><span class="o">=</span><span class="n">date</span><span class="p">,</span><span class="n">cap</span><span class="o">=</span><span class="n">cap</span><span class="p">,</span><span class="n">returns</span><span class="o">=</span><span class="n">returns</span><span class="p">,</span> <span class="c1"># Aggregation of data</span>
<span class="n">cap_norm</span><span class="o">=</span><span class="n">norm_0_1</span><span class="p">(</span><span class="n">cap</span><span class="p">),</span>
<span class="n">cap_u</span><span class="o">=</span><span class="n">norm_unif</span><span class="p">(</span><span class="n">cap</span><span class="p">)))</span> 
<span class="n">display</span><span class="p">(</span><span class="n">Markdown</span><span class="p">(</span><span class="n">toy_data</span><span class="o">.</span><span class="n">to_markdown</span><span class="p">()))</span> <span class="c1"># Introducing Markdown and printing the table</span>
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<thead><tr>
<th style="text-align:right"></th>
<th style="text-align:right">firm</th>
<th style="text-align:right">date</th>
<th style="text-align:right">cap</th>
<th style="text-align:right">returns</th>
<th style="text-align:right">cap_norm</th>
<th style="text-align:right">cap_u</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:right">0</td>
<td style="text-align:right">1</td>
<td style="text-align:right">1</td>
<td style="text-align:right">10</td>
<td style="text-align:right">0.06</td>
<td style="text-align:right">0</td>
<td style="text-align:right">0.222222</td>
</tr>
<tr>
<td style="text-align:right">1</td>
<td style="text-align:right">1</td>
<td style="text-align:right">2</td>
<td style="text-align:right">50</td>
<td style="text-align:right">0.01</td>
<td style="text-align:right">0.210526</td>
<td style="text-align:right">0.555556</td>
</tr>
<tr>
<td style="text-align:right">2</td>
<td style="text-align:right">1</td>
<td style="text-align:right">3</td>
<td style="text-align:right">100</td>
<td style="text-align:right">-0.06</td>
<td style="text-align:right">0.473684</td>
<td style="text-align:right">0.777778</td>
</tr>
<tr>
<td style="text-align:right">3</td>
<td style="text-align:right">2</td>
<td style="text-align:right">1</td>
<td style="text-align:right">15</td>
<td style="text-align:right">-0.03</td>
<td style="text-align:right">0.0263158</td>
<td style="text-align:right">0.444444</td>
</tr>
<tr>
<td style="text-align:right">4</td>
<td style="text-align:right">2</td>
<td style="text-align:right">2</td>
<td style="text-align:right">10</td>
<td style="text-align:right">0</td>
<td style="text-align:right">0</td>
<td style="text-align:right">0.222222</td>
</tr>
<tr>
<td style="text-align:right">5</td>
<td style="text-align:right">2</td>
<td style="text-align:right">3</td>
<td style="text-align:right">15</td>
<td style="text-align:right">0.02</td>
<td style="text-align:right">0.0263158</td>
<td style="text-align:right">0.444444</td>
</tr>
<tr>
<td style="text-align:right">6</td>
<td style="text-align:right">3</td>
<td style="text-align:right">1</td>
<td style="text-align:right">200</td>
<td style="text-align:right">-0.04</td>
<td style="text-align:right">1</td>
<td style="text-align:right">1</td>
</tr>
<tr>
<td style="text-align:right">7</td>
<td style="text-align:right">3</td>
<td style="text-align:right">2</td>
<td style="text-align:right">120</td>
<td style="text-align:right">-0.02</td>
<td style="text-align:right">0.578947</td>
<td style="text-align:right">0.888889</td>
</tr>
<tr>
<td style="text-align:right">8</td>
<td style="text-align:right">3</td>
<td style="text-align:right">3</td>
<td style="text-align:right">80</td>
<td style="text-align:right">0</td>
<td style="text-align:right">0.368421</td>
<td style="text-align:right">0.666667</td>
</tr>
</tbody>
</table>

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<p>TABLE 4.3: Sample data for a toy example.</p>

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<p>Let’s briefly comment on this synthetic data. We assume that dates are ordered chronologically and far away: each date stands for a year or the beginning of a decade, but the (forward) returns are computed on a monthly basis. The first firm is hugely successful and multiplies its cap ten times over the periods. The second firm remains stable cap-wise, while the third one plummets. If we look at ‘local’ future returns, they are strongly negatively related to size for the first and third firms. For the second one, there is no clear pattern.</p>
<p>Date-by-date, the analysis is fairly similar, though slightly nuanced.</p>
<ul>
<li>On date 1, the smallest firm has the largest return and the two others have negative returns.</li>
<li>On date 2, the biggest firm has a negative return while the two smaller firms do not.</li>
<li>On date 3, returns are decreasing with size.
While the relationship is not always perfectly monotonous, there seems to be a link between size and return and, typically, investing in the smallest firm would be a very good strategy with this sample.</li>
</ul>
<p>Now let us look at the output of simple regressions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span><span class="o">=</span><span class="n">toy_data</span><span class="o">.</span><span class="n">cap_norm</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
<span class="n">X</span><span class="o">=</span><span class="n">sm</span><span class="o">.</span><span class="n">add_constant</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">OLS</span><span class="p">(</span><span class="n">returns</span><span class="p">,</span> <span class="n">X</span><span class="p">)</span>
<span class="n">results</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">results</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
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<pre>                            OLS Regression Results                            
==============================================================================
Dep. Variable:                      y   R-squared:                       0.379
Model:                            OLS   Adj. R-squared:                  0.290
Method:                 Least Squares   F-statistic:                     4.265
Date:                Tue, 12 Oct 2021   Prob (F-statistic):             0.0778
Time:                        22:09:35   Log-Likelihood:                 19.892
No. Observations:                   9   AIC:                            -35.78
Df Residuals:                       7   BIC:                            -35.39
Df Model:                           1                                         
Covariance Type:            nonrobust                                         
==============================================================================
                 coef    std err          t      P&gt;|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          0.0124      0.014      0.912      0.392      -0.020       0.045
x1            -0.0641      0.031     -2.065      0.078      -0.137       0.009
==============================================================================
Omnibus:                        0.200   Durbin-Watson:                   0.872
Prob(Omnibus):                  0.905   Jarque-Bera (JB):                0.152
Skew:                          -0.187   Prob(JB):                        0.927
Kurtosis:                       2.485   Cond. No.                         3.40
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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<p>TABLE 4.4: Regression output when the independent var. comes from min-max rescaling</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X</span><span class="o">=</span><span class="n">toy_data</span><span class="o">.</span><span class="n">cap_u</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
<span class="n">X</span><span class="o">=</span><span class="n">sm</span><span class="o">.</span><span class="n">add_constant</span><span class="p">(</span><span class="n">X</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">OLS</span><span class="p">(</span><span class="n">returns</span><span class="p">,</span> <span class="n">X</span><span class="p">)</span>
<span class="n">results</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">results</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
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<pre>                            OLS Regression Results                            
==============================================================================
Dep. Variable:                      y   R-squared:                       0.488
Model:                            OLS   Adj. R-squared:                  0.415
Method:                 Least Squares   F-statistic:                     6.672
Date:                Tue, 12 Oct 2021   Prob (F-statistic):             0.0363
Time:                        22:10:01   Log-Likelihood:                 20.764
No. Observations:                   9   AIC:                            -37.53
Df Residuals:                       7   BIC:                            -37.13
Df Model:                           1                                         
Covariance Type:            nonrobust                                         
==============================================================================
                 coef    std err          t      P&gt;|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          0.0457      0.022      2.056      0.079      -0.007       0.098
x1            -0.0902      0.035     -2.583      0.036      -0.173      -0.008
==============================================================================
Omnibus:                        1.603   Durbin-Watson:                   0.918
Prob(Omnibus):                  0.449   Jarque-Bera (JB):                0.895
Skew:                          -0.428   Prob(JB):                        0.639
Kurtosis:                       1.715   Cond. No.                         5.20
==============================================================================

Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
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<p>TABLE 4.5: Regression output when the indep. var. comes from uniformization</p>

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<p>In terms of p-<strong>value</strong> (column P&gt;|t|), the first estimation for the cap coefficient is above 5% (in Table 4.4) while the second is below 5% (in Table 4.5). One possible explanation for this discrepancy is the standard deviation of the variables. The deviations are equal to 0.34 and 0.27 for cap_norm and cap_u, respectively. Values like market capitalizations can have very large ranges and are thus subject to substantial deviations (even after scaling). Working with uniformized variables reduces dispersion and can help solve this problem.</p>

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<p>Note that this is a <strong>double-edged sword</strong>: while it can help avoid <strong>false negatives</strong>, it can also lead to <strong>false positives</strong>.</p>

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<h2 id="4.9-Coding-exercices">4.9 Coding exercices<a class="anchor-link" href="#4.9-Coding-exercices">&#182;</a></h2>
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<ol>
<li>The Federal Reserve of Saint Louis (<a href="https://fred.stlouisfed.org">https://fred.stlouisfed.org</a>) hosts thousands of time series of economic indicators that can serve as conditioning variables. Pick one and apply formula (4.3) to expand the number of predictors. If need be, use the function defined above.</li>
<li>Create a new categorical label based on formulae (4.4) and (4.2). The time series of the VIX can also be retrieved from the Federal Reserve’s website: <a href="https://fred.stlouisfed.org/series/VIXCLS">https://fred.stlouisfed.org/series/VIXCLS</a>.</li>
<li>Plot the histogram of the R12M_Usd variable. Clearly, some outliers are present. Identify the stock with highest value for this variable and determine if the value can be correct or not.</li>
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<h3 id="References">References<a class="anchor-link" href="#References">&#182;</a></h3>
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<p>footnotes</p>

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<p>10 Some methodologies do map firm attributes into final weights, e.g., Brandt, Santa-Clara, and Valkanov (2009) and Ammann, Coqueret, and Schade (2016), but these are outside the scope of the book.↩︎</p>

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<p>11 This is of course not the case for inference relying on linear models. Memory generates many problems and complicates the study of estimators. We refer to Hjalmarsson (2011) and Xu (2020) for theoretical and empirical results on this matter.↩︎</p>

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<p>12 For a more thorough technical discussion on the impact of feature engineering, we refer to Galili and Meilijson (2016).↩︎</p>

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