report.html

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

<title>boston_housing</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>


<style type="text/css">
    /*!
*
* Twitter Bootstrap
*
*/
/*!
 * Bootstrap v3.3.7 (http://getbootstrap.com)
 * Copyright 2011-2016 Twitter, Inc.
 * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
 */
/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
  display: none;
  height: 0;
}
[hidden],
template {
  display: none;
}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
  font-weight: bold;
}
dfn {
  font-style: italic;
}
h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
  background: #ff0;
  color: #000;
}
small {
  font-size: 80%;
}
sub,
sup {
  font-size: 75%;
  line-height: 0;
  position: relative;
  vertical-align: baseline;
}
sup {
  top: -0.5em;
}
sub {
  bottom: -0.25em;
}
img {
  border: 0;
}
svg:not(:root) {
  overflow: hidden;
}
figure {
  margin: 1em 40px;
}
hr {
  box-sizing: content-box;
  height: 0;
}
pre {
  overflow: auto;
}
code,
kbd,
pre,
samp {
  font-family: monospace, monospace;
  font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
  color: inherit;
  font: inherit;
  margin: 0;
}
button {
  overflow: visible;
}
button,
select {
  text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
  -webkit-appearance: button;
  cursor: pointer;
}
button[disabled],
html input[disabled] {
  cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
  border: 0;
  padding: 0;
}
input {
  line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
  box-sizing: border-box;
  padding: 0;
}
input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: textfield;
  box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
  -webkit-appearance: none;
}
fieldset {
  border: 1px solid #c0c0c0;
  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
  border: 0;
  padding: 0;
}
textarea {
  overflow: auto;
}
optgroup {
  font-weight: bold;
}
table {
  border-collapse: collapse;
  border-spacing: 0;
}
td,
th {
  padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
  *,
  *:before,
  *:after {
    background: transparent !important;
    box-shadow: none !important;
    text-shadow: none !important;
  }
  a,
  a:visited {
    text-decoration: underline;
  }
  a[href]:after {
    content: " (" attr(href) ")";
  }
  abbr[title]:after {
    content: " (" attr(title) ")";
  }
  a[href^="#"]:after,
  a[href^="javascript:"]:after {
    content: "";
  }
  pre,
  blockquote {
    border: 1px solid #999;
    page-break-inside: avoid;
  }
  thead {
    display: table-header-group;
  }
  tr,
  img {
    page-break-inside: avoid;
  }
  img {
    max-width: 100% !important;
  }
  p,
  h2,
  h3 {
    orphans: 3;
    widows: 3;
  }
  h2,
  h3 {
    page-break-after: avoid;
  }
  .navbar {
    display: none;
  }
  .btn > .caret,
  .dropup > .btn > .caret {
    border-top-color: #000 !important;
  }
  .label {
    border: 1px solid #000;
  }
  .table {
    border-collapse: collapse !important;
  }
  .table td,
  .table th {
    background-color: #fff !important;
  }
  .table-bordered th,
  .table-bordered td {
    border: 1px solid #ddd !important;
  }
}
@font-face {
  font-family: 'Glyphicons Halflings';
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
  position: relative;
  top: 1px;
  display: inline-block;
  font-family: 'Glyphicons Halflings';
  font-style: normal;
  font-weight: normal;
  line-height: 1;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
.glyphicon-asterisk:before {
  content: "\002a";
}
.glyphicon-plus:before {
  content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
  content: "\20ac";
}
.glyphicon-minus:before {
  content: "\2212";
}
.glyphicon-cloud:before {
  content: "\2601";
}
.glyphicon-envelope:before {
  content: "\2709";
}
.glyphicon-pencil:before {
  content: "\270f";
}
.glyphicon-glass:before {
  content: "\e001";
}
.glyphicon-music:before {
  content: "\e002";
}
.glyphicon-search:before {
  content: "\e003";
}
.glyphicon-heart:before {
  content: "\e005";
}
.glyphicon-star:before {
  content: "\e006";
}
.glyphicon-star-empty:before {
  content: "\e007";
}
.glyphicon-user:before {
  content: "\e008";
}
.glyphicon-film:before {
  content: "\e009";
}
.glyphicon-th-large:before {
  content: "\e010";
}
.glyphicon-th:before {
  content: "\e011";
}
.glyphicon-th-list:before {
  content: "\e012";
}
.glyphicon-ok:before {
  content: "\e013";
}
.glyphicon-remove:before {
  content: "\e014";
}
.glyphicon-zoom-in:before {
  content: "\e015";
}
.glyphicon-zoom-out:before {
  content: "\e016";
}
.glyphicon-off:before {
  content: "\e017";
}
.glyphicon-signal:before {
  content: "\e018";
}
.glyphicon-cog:before {
  content: "\e019";
}
.glyphicon-trash:before {
  content: "\e020";
}
.glyphicon-home:before {
  content: "\e021";
}
.glyphicon-file:before {
  content: "\e022";
}
.glyphicon-time:before {
  content: "\e023";
}
.glyphicon-road:before {
  content: "\e024";
}
.glyphicon-download-alt:before {
  content: "\e025";
}
.glyphicon-download:before {
  content: "\e026";
}
.glyphicon-upload:before {
  content: "\e027";
}
.glyphicon-inbox:before {
  content: "\e028";
}
.glyphicon-play-circle:before {
  content: "\e029";
}
.glyphicon-repeat:before {
  content: "\e030";
}
.glyphicon-refresh:before {
  content: "\e031";
}
.glyphicon-list-alt:before {
  content: "\e032";
}
.glyphicon-lock:before {
  content: "\e033";
}
.glyphicon-flag:before {
  content: "\e034";
}
.glyphicon-headphones:before {
  content: "\e035";
}
.glyphicon-volume-off:before {
  content: "\e036";
}
.glyphicon-volume-down:before {
  content: "\e037";
}
.glyphicon-volume-up:before {
  content: "\e038";
}
.glyphicon-qrcode:before {
  content: "\e039";
}
.glyphicon-barcode:before {
  content: "\e040";
}
.glyphicon-tag:before {
  content: "\e041";
}
.glyphicon-tags:before {
  content: "\e042";
}
.glyphicon-book:before {
  content: "\e043";
}
.glyphicon-bookmark:before {
  content: "\e044";
}
.glyphicon-print:before {
  content: "\e045";
}
.glyphicon-camera:before {
  content: "\e046";
}
.glyphicon-font:before {
  content: "\e047";
}
.glyphicon-bold:before {
  content: "\e048";
}
.glyphicon-italic:before {
  content: "\e049";
}
.glyphicon-text-height:before {
  content: "\e050";
}
.glyphicon-text-width:before {
  content: "\e051";
}
.glyphicon-align-left:before {
  content: "\e052";
}
.glyphicon-align-center:before {
  content: "\e053";
}
.glyphicon-align-right:before {
  content: "\e054";
}
.glyphicon-align-justify:before {
  content: "\e055";
}
.glyphicon-list:before {
  content: "\e056";
}
.glyphicon-indent-left:before {
  content: "\e057";
}
.glyphicon-indent-right:before {
  content: "\e058";
}
.glyphicon-facetime-video:before {
  content: "\e059";
}
.glyphicon-picture:before {
  content: "\e060";
}
.glyphicon-map-marker:before {
  content: "\e062";
}
.glyphicon-adjust:before {
  content: "\e063";
}
.glyphicon-tint:before {
  content: "\e064";
}
.glyphicon-edit:before {
  content: "\e065";
}
.glyphicon-share:before {
  content: "\e066";
}
.glyphicon-check:before {
  content: "\e067";
}
.glyphicon-move:before {
  content: "\e068";
}
.glyphicon-step-backward:before {
  content: "\e069";
}
.glyphicon-fast-backward:before {
  content: "\e070";
}
.glyphicon-backward:before {
  content: "\e071";
}
.glyphicon-play:before {
  content: "\e072";
}
.glyphicon-pause:before {
  content: "\e073";
}
.glyphicon-stop:before {
  content: "\e074";
}
.glyphicon-forward:before {
  content: "\e075";
}
.glyphicon-fast-forward:before {
  content: "\e076";
}
.glyphicon-step-forward:before {
  content: "\e077";
}
.glyphicon-eject:before {
  content: "\e078";
}
.glyphicon-chevron-left:before {
  content: "\e079";
}
.glyphicon-chevron-right:before {
  content: "\e080";
}
.glyphicon-plus-sign:before {
  content: "\e081";
}
.glyphicon-minus-sign:before {
  content: "\e082";
}
.glyphicon-remove-sign:before {
  content: "\e083";
}
.glyphicon-ok-sign:before {
  content: "\e084";
}
.glyphicon-question-sign:before {
  content: "\e085";
}
.glyphicon-info-sign:before {
  content: "\e086";
}
.glyphicon-screenshot:before {
  content: "\e087";
}
.glyphicon-remove-circle:before {
  content: "\e088";
}
.glyphicon-ok-circle:before {
  content: "\e089";
}
.glyphicon-ban-circle:before {
  content: "\e090";
}
.glyphicon-arrow-left:before {
  content: "\e091";
}
.glyphicon-arrow-right:before {
  content: "\e092";
}
.glyphicon-arrow-up:before {
  content: "\e093";
}
.glyphicon-arrow-down:before {
  content: "\e094";
}
.glyphicon-share-alt:before {
  content: "\e095";
}
.glyphicon-resize-full:before {
  content: "\e096";
}
.glyphicon-resize-small:before {
  content: "\e097";
}
.glyphicon-exclamation-sign:before {
  content: "\e101";
}
.glyphicon-gift:before {
  content: "\e102";
}
.glyphicon-leaf:before {
  content: "\e103";
}
.glyphicon-fire:before {
  content: "\e104";
}
.glyphicon-eye-open:before {
  content: "\e105";
}
.glyphicon-eye-close:before {
  content: "\e106";
}
.glyphicon-warning-sign:before {
  content: "\e107";
}
.glyphicon-plane:before {
  content: "\e108";
}
.glyphicon-calendar:before {
  content: "\e109";
}
.glyphicon-random:before {
  content: "\e110";
}
.glyphicon-comment:before {
  content: "\e111";
}
.glyphicon-magnet:before {
  content: "\e112";
}
.glyphicon-chevron-up:before {
  content: "\e113";
}
.glyphicon-chevron-down:before {
  content: "\e114";
}
.glyphicon-retweet:before {
  content: "\e115";
}
.glyphicon-shopping-cart:before {
  content: "\e116";
}
.glyphicon-folder-close:before {
  content: "\e117";
}
.glyphicon-folder-open:before {
  content: "\e118";
}
.glyphicon-resize-vertical:before {
  content: "\e119";
}
.glyphicon-resize-horizontal:before {
  content: "\e120";
}
.glyphicon-hdd:before {
  content: "\e121";
}
.glyphicon-bullhorn:before {
  content: "\e122";
}
.glyphicon-bell:before {
  content: "\e123";
}
.glyphicon-certificate:before {
  content: "\e124";
}
.glyphicon-thumbs-up:before {
  content: "\e125";
}
.glyphicon-thumbs-down:before {
  content: "\e126";
}
.glyphicon-hand-right:before {
  content: "\e127";
}
.glyphicon-hand-left:before {
  content: "\e128";
}
.glyphicon-hand-up:before {
  content: "\e129";
}
.glyphicon-hand-down:before {
  content: "\e130";
}
.glyphicon-circle-arrow-right:before {
  content: "\e131";
}
.glyphicon-circle-arrow-left:before {
  content: "\e132";
}
.glyphicon-circle-arrow-up:before {
  content: "\e133";
}
.glyphicon-circle-arrow-down:before {
  content: "\e134";
}
.glyphicon-globe:before {
  content: "\e135";
}
.glyphicon-wrench:before {
  content: "\e136";
}
.glyphicon-tasks:before {
  content: "\e137";
}
.glyphicon-filter:before {
  content: "\e138";
}
.glyphicon-briefcase:before {
  content: "\e139";
}
.glyphicon-fullscreen:before {
  content: "\e140";
}
.glyphicon-dashboard:before {
  content: "\e141";
}
.glyphicon-paperclip:before {
  content: "\e142";
}
.glyphicon-heart-empty:before {
  content: "\e143";
}
.glyphicon-link:before {
  content: "\e144";
}
.glyphicon-phone:before {
  content: "\e145";
}
.glyphicon-pushpin:before {
  content: "\e146";
}
.glyphicon-usd:before {
  content: "\e148";
}
.glyphicon-gbp:before {
  content: "\e149";
}
.glyphicon-sort:before {
  content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
  content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
  content: "\e152";
}
.glyphicon-sort-by-order:before {
  content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
  content: "\e154";
}
.glyphicon-sort-by-attributes:before {
  content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
  content: "\e156";
}
.glyphicon-unchecked:before {
  content: "\e157";
}
.glyphicon-expand:before {
  content: "\e158";
}
.glyphicon-collapse-down:before {
  content: "\e159";
}
.glyphicon-collapse-up:before {
  content: "\e160";
}
.glyphicon-log-in:before {
  content: "\e161";
}
.glyphicon-flash:before {
  content: "\e162";
}
.glyphicon-log-out:before {
  content: "\e163";
}
.glyphicon-new-window:before {
  content: "\e164";
}
.glyphicon-record:before {
  content: "\e165";
}
.glyphicon-save:before {
  content: "\e166";
}
.glyphicon-open:before {
  content: "\e167";
}
.glyphicon-saved:before {
  content: "\e168";
}
.glyphicon-import:before {
  content: "\e169";
}
.glyphicon-export:before {
  content: "\e170";
}
.glyphicon-send:before {
  content: "\e171";
}
.glyphicon-floppy-disk:before {
  content: "\e172";
}
.glyphicon-floppy-saved:before {
  content: "\e173";
}
.glyphicon-floppy-remove:before {
  content: "\e174";
}
.glyphicon-floppy-save:before {
  content: "\e175";
}
.glyphicon-floppy-open:before {
  content: "\e176";
}
.glyphicon-credit-card:before {
  content: "\e177";
}
.glyphicon-transfer:before {
  content: "\e178";
}
.glyphicon-cutlery:before {
  content: "\e179";
}
.glyphicon-header:before {
  content: "\e180";
}
.glyphicon-compressed:before {
  content: "\e181";
}
.glyphicon-earphone:before {
  content: "\e182";
}
.glyphicon-phone-alt:before {
  content: "\e183";
}
.glyphicon-tower:before {
  content: "\e184";
}
.glyphicon-stats:before {
  content: "\e185";
}
.glyphicon-sd-video:before {
  content: "\e186";
}
.glyphicon-hd-video:before {
  content: "\e187";
}
.glyphicon-subtitles:before {
  content: "\e188";
}
.glyphicon-sound-stereo:before {
  content: "\e189";
}
.glyphicon-sound-dolby:before {
  content: "\e190";
}
.glyphicon-sound-5-1:before {
  content: "\e191";
}
.glyphicon-sound-6-1:before {
  content: "\e192";
}
.glyphicon-sound-7-1:before {
  content: "\e193";
}
.glyphicon-copyright-mark:before {
  content: "\e194";
}
.glyphicon-registration-mark:before {
  content: "\e195";
}
.glyphicon-cloud-download:before {
  content: "\e197";
}
.glyphicon-cloud-upload:before {
  content: "\e198";
}
.glyphicon-tree-conifer:before {
  content: "\e199";
}
.glyphicon-tree-deciduous:before {
  content: "\e200";
}
.glyphicon-cd:before {
  content: "\e201";
}
.glyphicon-save-file:before {
  content: "\e202";
}
.glyphicon-open-file:before {
  content: "\e203";
}
.glyphicon-level-up:before {
  content: "\e204";
}
.glyphicon-copy:before {
  content: "\e205";
}
.glyphicon-paste:before {
  content: "\e206";
}
.glyphicon-alert:before {
  content: "\e209";
}
.glyphicon-equalizer:before {
  content: "\e210";
}
.glyphicon-king:before {
  content: "\e211";
}
.glyphicon-queen:before {
  content: "\e212";
}
.glyphicon-pawn:before {
  content: "\e213";
}
.glyphicon-bishop:before {
  content: "\e214";
}
.glyphicon-knight:before {
  content: "\e215";
}
.glyphicon-baby-formula:before {
  content: "\e216";
}
.glyphicon-tent:before {
  content: "\26fa";
}
.glyphicon-blackboard:before {
  content: "\e218";
}
.glyphicon-bed:before {
  content: "\e219";
}
.glyphicon-apple:before {
  content: "\f8ff";
}
.glyphicon-erase:before {
  content: "\e221";
}
.glyphicon-hourglass:before {
  content: "\231b";
}
.glyphicon-lamp:before {
  content: "\e223";
}
.glyphicon-duplicate:before {
  content: "\e224";
}
.glyphicon-piggy-bank:before {
  content: "\e225";
}
.glyphicon-scissors:before {
  content: "\e226";
}
.glyphicon-bitcoin:before {
  content: "\e227";
}
.glyphicon-btc:before {
  content: "\e227";
}
.glyphicon-xbt:before {
  content: "\e227";
}
.glyphicon-yen:before {
  content: "\00a5";
}
.glyphicon-jpy:before {
  content: "\00a5";
}
.glyphicon-ruble:before {
  content: "\20bd";
}
.glyphicon-rub:before {
  content: "\20bd";
}
.glyphicon-scale:before {
  content: "\e230";
}
.glyphicon-ice-lolly:before {
  content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
  content: "\e232";
}
.glyphicon-education:before {
  content: "\e233";
}
.glyphicon-option-horizontal:before {
  content: "\e234";
}
.glyphicon-option-vertical:before {
  content: "\e235";
}
.glyphicon-menu-hamburger:before {
  content: "\e236";
}
.glyphicon-modal-window:before {
  content: "\e237";
}
.glyphicon-oil:before {
  content: "\e238";
}
.glyphicon-grain:before {
  content: "\e239";
}
.glyphicon-sunglasses:before {
  content: "\e240";
}
.glyphicon-text-size:before {
  content: "\e241";
}
.glyphicon-text-color:before {
  content: "\e242";
}
.glyphicon-text-background:before {
  content: "\e243";
}
.glyphicon-object-align-top:before {
  content: "\e244";
}
.glyphicon-object-align-bottom:before {
  content: "\e245";
}
.glyphicon-object-align-horizontal:before {
  content: "\e246";
}
.glyphicon-object-align-left:before {
  content: "\e247";
}
.glyphicon-object-align-vertical:before {
  content: "\e248";
}
.glyphicon-object-align-right:before {
  content: "\e249";
}
.glyphicon-triangle-right:before {
  content: "\e250";
}
.glyphicon-triangle-left:before {
  content: "\e251";
}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 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 */
    </style>
<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

    </style>


<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
    MathJax.Hub.Config({
        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="&#26426;&#22120;&#23398;&#20064;&#24037;&#31243;&#24072;&#32435;&#31859;&#23398;&#20301;">&#26426;&#22120;&#23398;&#20064;&#24037;&#31243;&#24072;&#32435;&#31859;&#23398;&#20301;<a class="anchor-link" href="#&#26426;&#22120;&#23398;&#20064;&#24037;&#31243;&#24072;&#32435;&#31859;&#23398;&#20301;">&#182;</a></h1><h2 id="&#27169;&#22411;&#35780;&#20215;&#19982;&#39564;&#35777;">&#27169;&#22411;&#35780;&#20215;&#19982;&#39564;&#35777;<a class="anchor-link" href="#&#27169;&#22411;&#35780;&#20215;&#19982;&#39564;&#35777;">&#182;</a></h2><h2 id="&#39033;&#30446;-1:-&#39044;&#27979;&#27874;&#22763;&#39039;&#25151;&#20215;">&#39033;&#30446; 1: &#39044;&#27979;&#27874;&#22763;&#39039;&#25151;&#20215;<a class="anchor-link" href="#&#39033;&#30446;-1:-&#39044;&#27979;&#27874;&#22763;&#39039;&#25151;&#20215;">&#182;</a></h2><p>欢迎来到预测波士顿房价项目！在此文件中，我们已经提供了一些示例代码，但你还需要完善更多功能才能让项目成功运行。除非有明确要求，你无需修改任何已给出的代码。习题的标题为<strong>编程练习</strong>。每一部分都会有详细的指导，需要实现的部分也会在注释中以<strong>TODO</strong>标出。请仔细阅读所有的提示！</p>
<p>除了实现代码外，你还<strong>必须</strong>回答一些问题。请仔细阅读每个问题，并且在问题后的<strong>'回答'</strong>文字框中写出完整的答案。我们的项目审阅者将会根据你对问题的回答和撰写代码所实现的功能来进行评分。</p>
<blockquote><p><strong>提示：</strong>代码 和 Markdown单元格 可通过 <strong>Shift + Enter</strong> 快捷键运行。另外，Markdown单元格  可以通过双击进入编辑模式。</p>
</blockquote>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="&#31532;&#19968;&#27493;.-&#23548;&#20837;&#25968;&#25454;">&#31532;&#19968;&#27493;. &#23548;&#20837;&#25968;&#25454;<a class="anchor-link" href="#&#31532;&#19968;&#27493;.-&#23548;&#20837;&#25968;&#25454;">&#182;</a></h2><p>在这个项目中，你将使用我们提供的波士顿房屋信息数据来训练和测试一个模型，并对模型的性能和预测能力进行评估。我们希望可以通过该模型实现对房屋的价值预估，提高房地产经纪人的工作效率。</p>
<p>此项目的数据集来自<a href="https://www.kaggle.com/c/house-prices-advanced-regression-techniques">kaggle</a>原始数据，未经过任何处理。该数据集统计了2006年至2010年波士顿个人住宅销售情况，包含2900多条观测数据（其中一半是训练数据，即我们的<code>housedata.csv</code>文件）。更多文档信息可以参考<a href="http://jse.amstat.org/v19n3/decock.pdf">作者的文档</a>（可以不看），以及项目附件<code>data_description.txt</code>文件（特征描述文件，一定要看）。</p>
<p>运行下面区域的代码以载入一些此项目所需的Python库。如果成功返回提示语句，则说明载入成功。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 载入此项目需要的库</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">visuals</span> <span class="k">as</span> <span class="nn">vs</span> <span class="c1"># Supplementary code 补充的可视化代码</span>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">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">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;seaborn&#39;</span><span class="p">)</span> <span class="c1"># use seaborn style 使用seaborn风格</span>

<span class="kn">import</span> <span class="nn">warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s1">&#39;ignore&#39;</span><span class="p">)</span>

<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;你已经成功载入所有库！&#39;</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>你已经成功载入所有库！
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;-1&#65306;&#21152;&#36733;&#25968;&#25454;">&#32534;&#31243;&#32451;&#20064; 1&#65306;&#21152;&#36733;&#25968;&#25454;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;-1&#65306;&#21152;&#36733;&#25968;&#25454;">&#182;</a></h3><p>你的第一个编程练习是加载波士顿房价数据。我们已为你导入了 <code>Pandas</code>，你需要使用这个库中的<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html">read_csv方法</a>来执行必要的过程。</p>
<p>导入数据将会是你整个项目的开始</p>
<p>如果成功返回数据集的大小，表示数据集已载入成功。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 1 TODO：载入波士顿房屋的数据集：使用pandas载入csv，并赋值到data_df</span>
<span class="n">data_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;housedata.csv&quot;</span><span class="p">)</span>

<span class="c1"># 成功载入的话输出训练数据行列数目</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Boston housing dataset has </span><span class="si">{}</span><span class="s2"> data points with </span><span class="si">{}</span><span class="s2"> variables each.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">*</span><span class="n">data_df</span><span class="o">.</span><span class="n">shape</span><span class="p">))</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>Boston housing dataset has 1460 data points with 81 variables each.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="&#31532;&#20108;&#27493;.-&#25968;&#25454;&#20998;&#26512;">&#31532;&#20108;&#27493;. &#25968;&#25454;&#20998;&#26512;<a class="anchor-link" href="#&#31532;&#20108;&#27493;.-&#25968;&#25454;&#20998;&#26512;">&#182;</a></h2><p>这个部分，你要对已有的波士顿房地产数据进行初步的观察与处理。同时，通过对数据的探索可以让你更好地理解数据。</p>
<p>由于这个项目的最终目标是建立一个预测房屋价值的模型，我们需要将数据集分为<strong>特征(features)</strong>和<strong>目标变量(target variable)</strong>。</p>
<ul>
<li><strong>目标变量</strong>：<code>'SalePrice'</code>，是我们希望预测的变量。</li>
<li><strong>特征</strong>：除<code>'SalePrice'</code>外的属性都是特征，它们反应了数据点在某些方面的表现或性质。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;-2&#65306;&#35266;&#23519;&#25968;&#25454;">&#32534;&#31243;&#32451;&#20064; 2&#65306;&#35266;&#23519;&#25968;&#25454;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;-2&#65306;&#35266;&#23519;&#25968;&#25454;">&#182;</a></h3><p>你的第二个编程练习是对波士顿房价的数据进行观察,这一步会让你掌握更多数据本身的信息。具体问题如下：</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题2.1：使用<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.head.html">head方法</a>打印并观察前7条<code>data_df</code>数据</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[3]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 2.1 TODO: 打印出前7条data_df</span>
<span class="n">data_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">7</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[3]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Id</th>
      <th>MSSubClass</th>
      <th>MSZoning</th>
      <th>LotFrontage</th>
      <th>LotArea</th>
      <th>Street</th>
      <th>Alley</th>
      <th>LotShape</th>
      <th>LandContour</th>
      <th>Utilities</th>
      <th>...</th>
      <th>PoolArea</th>
      <th>PoolQC</th>
      <th>Fence</th>
      <th>MiscFeature</th>
      <th>MiscVal</th>
      <th>MoSold</th>
      <th>YrSold</th>
      <th>SaleType</th>
      <th>SaleCondition</th>
      <th>SalePrice</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1</td>
      <td>60</td>
      <td>RL</td>
      <td>65.0</td>
      <td>8450</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>Reg</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>2</td>
      <td>2008</td>
      <td>WD</td>
      <td>Normal</td>
      <td>208500</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2</td>
      <td>20</td>
      <td>RL</td>
      <td>80.0</td>
      <td>9600</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>Reg</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>5</td>
      <td>2007</td>
      <td>WD</td>
      <td>Normal</td>
      <td>181500</td>
    </tr>
    <tr>
      <th>2</th>
      <td>3</td>
      <td>60</td>
      <td>RL</td>
      <td>68.0</td>
      <td>11250</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>IR1</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>9</td>
      <td>2008</td>
      <td>WD</td>
      <td>Normal</td>
      <td>223500</td>
    </tr>
    <tr>
      <th>3</th>
      <td>4</td>
      <td>70</td>
      <td>RL</td>
      <td>60.0</td>
      <td>9550</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>IR1</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>2</td>
      <td>2006</td>
      <td>WD</td>
      <td>Abnorml</td>
      <td>140000</td>
    </tr>
    <tr>
      <th>4</th>
      <td>5</td>
      <td>60</td>
      <td>RL</td>
      <td>84.0</td>
      <td>14260</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>IR1</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>12</td>
      <td>2008</td>
      <td>WD</td>
      <td>Normal</td>
      <td>250000</td>
    </tr>
    <tr>
      <th>5</th>
      <td>6</td>
      <td>50</td>
      <td>RL</td>
      <td>85.0</td>
      <td>14115</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>IR1</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>MnPrv</td>
      <td>Shed</td>
      <td>700</td>
      <td>10</td>
      <td>2009</td>
      <td>WD</td>
      <td>Normal</td>
      <td>143000</td>
    </tr>
    <tr>
      <th>6</th>
      <td>7</td>
      <td>20</td>
      <td>RL</td>
      <td>75.0</td>
      <td>10084</td>
      <td>Pave</td>
      <td>NaN</td>
      <td>Reg</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>...</td>
      <td>0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0</td>
      <td>8</td>
      <td>2007</td>
      <td>WD</td>
      <td>Normal</td>
      <td>307000</td>
    </tr>
  </tbody>
</table>
<p>7 rows × 81 columns</p>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题2.2：Id特征对我们训练数据没有任何用处，在<code>data_df</code>中使用<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html">drop方法</a>删除<code>'Id'</code>列数据</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[4]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 2.2 TODO: 删除data_df中的Id特征（保持数据仍在data_df中，不更改变量名）</span>
<span class="n">data_df</span> <span class="o">=</span> <span class="n">data_df</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;Id&#39;</span><span class="p">],</span><span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题2.3：使用<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html">describe方法</a>观察<code>data_df</code>各个特征的统计信息：</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 2.3 TODO:</span>
<span class="n">data_df</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[5]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>MSSubClass</th>
      <th>MSZoning</th>
      <th>LotFrontage</th>
      <th>LotArea</th>
      <th>Street</th>
      <th>Alley</th>
      <th>LotShape</th>
      <th>LandContour</th>
      <th>Utilities</th>
      <th>LotConfig</th>
      <th>...</th>
      <th>PoolArea</th>
      <th>PoolQC</th>
      <th>Fence</th>
      <th>MiscFeature</th>
      <th>MiscVal</th>
      <th>MoSold</th>
      <th>YrSold</th>
      <th>SaleType</th>
      <th>SaleCondition</th>
      <th>SalePrice</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>count</th>
      <td>1460.000000</td>
      <td>1460</td>
      <td>1201.000000</td>
      <td>1460.000000</td>
      <td>1460</td>
      <td>91</td>
      <td>1460</td>
      <td>1460</td>
      <td>1460</td>
      <td>1460</td>
      <td>...</td>
      <td>1460.000000</td>
      <td>7</td>
      <td>281</td>
      <td>54</td>
      <td>1460.000000</td>
      <td>1460.000000</td>
      <td>1460.000000</td>
      <td>1460</td>
      <td>1460</td>
      <td>1460.000000</td>
    </tr>
    <tr>
      <th>unique</th>
      <td>NaN</td>
      <td>5</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2</td>
      <td>2</td>
      <td>4</td>
      <td>4</td>
      <td>2</td>
      <td>5</td>
      <td>...</td>
      <td>NaN</td>
      <td>3</td>
      <td>4</td>
      <td>4</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>9</td>
      <td>6</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>top</th>
      <td>NaN</td>
      <td>RL</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>Pave</td>
      <td>Grvl</td>
      <td>Reg</td>
      <td>Lvl</td>
      <td>AllPub</td>
      <td>Inside</td>
      <td>...</td>
      <td>NaN</td>
      <td>Gd</td>
      <td>MnPrv</td>
      <td>Shed</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>WD</td>
      <td>Normal</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>freq</th>
      <td>NaN</td>
      <td>1151</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1454</td>
      <td>50</td>
      <td>925</td>
      <td>1311</td>
      <td>1459</td>
      <td>1052</td>
      <td>...</td>
      <td>NaN</td>
      <td>3</td>
      <td>157</td>
      <td>49</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>1267</td>
      <td>1198</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>56.897260</td>
      <td>NaN</td>
      <td>70.049958</td>
      <td>10516.828082</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>2.758904</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>43.489041</td>
      <td>6.321918</td>
      <td>2007.815753</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>180921.195890</td>
    </tr>
    <tr>
      <th>std</th>
      <td>42.300571</td>
      <td>NaN</td>
      <td>24.284752</td>
      <td>9981.264932</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>40.177307</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>496.123024</td>
      <td>2.703626</td>
      <td>1.328095</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>79442.502883</td>
    </tr>
    <tr>
      <th>min</th>
      <td>20.000000</td>
      <td>NaN</td>
      <td>21.000000</td>
      <td>1300.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>0.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.000000</td>
      <td>1.000000</td>
      <td>2006.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>34900.000000</td>
    </tr>
    <tr>
      <th>25%</th>
      <td>20.000000</td>
      <td>NaN</td>
      <td>59.000000</td>
      <td>7553.500000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>0.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.000000</td>
      <td>5.000000</td>
      <td>2007.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>129975.000000</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>50.000000</td>
      <td>NaN</td>
      <td>69.000000</td>
      <td>9478.500000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>0.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.000000</td>
      <td>6.000000</td>
      <td>2008.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>163000.000000</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>70.000000</td>
      <td>NaN</td>
      <td>80.000000</td>
      <td>11601.500000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>0.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>0.000000</td>
      <td>8.000000</td>
      <td>2009.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>214000.000000</td>
    </tr>
    <tr>
      <th>max</th>
      <td>190.000000</td>
      <td>NaN</td>
      <td>313.000000</td>
      <td>215245.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>738.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>15500.000000</td>
      <td>12.000000</td>
      <td>2010.000000</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>755000.000000</td>
    </tr>
  </tbody>
</table>
<p>11 rows × 80 columns</p>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;3&#65306;-&#25968;&#25454;&#39044;&#22788;&#29702;">&#32534;&#31243;&#32451;&#20064;3&#65306; &#25968;&#25454;&#39044;&#22788;&#29702;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;3&#65306;-&#25968;&#25454;&#39044;&#22788;&#29702;">&#182;</a></h3><p>我们的数据不可能是百分百的‘干净’数据（即有用数据），总会在采集整理时有些”失误“、“冗余”，造成“脏”数据，所以我们要从数据的正确性和完整性这两个方面来清理数据。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ul>
<li><strong>正确性</strong>：一般是指有没有异常值，比如我们这个数据集中<a href="http://jse.amstat.org/v19n3/decock.pdf">作者的文档</a>所说：
<code>I would recommend removing any houses with more than 4000 square feet from the data set (which eliminates these five unusual observations) before assigning it to students.</code>
建议我们去掉数据中<code>'GrLivArea'</code>中超过4000平方英尺的房屋（具体原因可以参考文档），当然本数据集还有其他的异常点，这里不再处理。</li>
<li><strong>完整性</strong>：采集或者整理数据时所产生的空数据造成了数据的完整性缺失，通常我们会使用一定的方法处理不完整的数据。在本例中，我们使用以下两种方法，一是<a href="https://discuss.analyticsvidhya.com/t/what-should-be-the-allowed-percentage-of-missing-values/2456">丢弃数据</a>,即选择丢弃过多空数据的特征（或者直接丢弃数据行，前提是NA数据占比不多），二是填补数据，填补的方法也很多，均值中位数众数填充等等都是好方法。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.1：正确性</strong></p>
<p>请按下述步骤删除一些不合理的数据</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.1.1：使用<code>matplotlib</code>库中的<a href="https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html">scatter方法</a> 绘制<code>'GrLivArea'</code>和<code>'SalePrice'</code>的散点图，x轴为<code>'GrLivArea'</code>，y轴为<code>'SalePrice'</code>，观察数据</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 3.1.1 TODO:绘制要求的图形</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;GrLivArea&#39;</span><span class="p">],</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">])</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[6]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.collections.PathCollection at 0x7fa58feb4b70&gt;</pre>
</div>

</div>

<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.1.2：通过上图我们可以看到那几个异常值，即<code>'GrLivArea'</code>大于4000，但是<code>'SalePrice'</code>又极低的数据，从<code>data_df</code>删除这几个异常值，删除后重新绘制<code>'GrLivArea'</code>和<code>'SalePrice'</code>的关系图，确认异常值已删除。</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 3.1.2 </span>
<span class="c1"># TODO:从data_df中删除 GrLivArea大于4000 且 SalePrice低于300000 的值</span>
<span class="n">data_df</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="o">~</span><span class="p">((</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;GrLivArea&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">4000</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">300000</span><span class="p">))]</span>
<span class="c1"># TODO:重新绘制GrLivArea和SalePrice的关系图，确认异常值已删除</span>
<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;GrLivArea&#39;</span><span class="p">],</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">])</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[7]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.collections.PathCollection at 0x7fa58fbdc400&gt;</pre>
</div>

</div>

<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.2：完整性</strong></p>
<p>请按下述步骤，补足数据的完整性</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.2.1：筛选出过多空数据的特征，我们这个项目定为筛选出有超过25%为空数据的特征</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[8]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">limit_percent</span> <span class="o">=</span> <span class="mf">0.25</span>
<span class="n">limit_value</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">data_df</span><span class="p">)</span> <span class="o">*</span> <span class="n">limit_percent</span>
<span class="c1"># 3.2.1 TODO 统计并打印出超过25%的空数据的特征，你可以考虑使用isna()</span>

<span class="nb">print</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">data_df</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">values</span><span class="p">[</span><span class="n">data_df</span><span class="o">.</span><span class="n">isna</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="o">&gt;</span> <span class="n">limit_value</span><span class="p">]))</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>[&#39;Alley&#39;, &#39;FireplaceQu&#39;, &#39;PoolQC&#39;, &#39;Fence&#39;, &#39;MiscFeature&#39;]
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>如果你整理出的特征是<code>'Alley', 'FireplaceQu', 'PoolQC', 'Fence', 'MiscFeature'</code>，那就说明你统计对了，接着我们查看<code>data_description.txt</code>文件，就会发现，这些并非一定是空缺数据，而没有游泳池，篱笆等也会用NA来表示，那么就不需要删除这些特征了，而是用<code>None</code>来填充<code>NA</code>数据。</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题3.2.2：根据<code>data_description.txt</code>特征描述,使用<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html">fillna方法</a>填充空数据，具体哪一种数据需要填充什么已经整理好了，请按提示要求来进行填充</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[9]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 直接运行不用修改</span>
<span class="c1"># 确定所有空特征</span>
<span class="n">missing_columns</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_df</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">data_df</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">])</span>
<span class="c1"># 确定哪些是类别特征，哪些是数值特征</span>
<span class="n">missing_numerical</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">missing_columns</span><span class="p">]</span><span class="o">.</span><span class="n">dtypes</span><span class="p">[</span><span class="n">data_df</span><span class="p">[</span><span class="n">missing_columns</span><span class="p">]</span><span class="o">.</span><span class="n">dtypes</span> <span class="o">!=</span> <span class="s1">&#39;object&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">missing_category</span> <span class="o">=</span> <span class="p">[</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">missing_columns</span> <span class="k">if</span> <span class="n">i</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">missing_numerical</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;missing_numerical:&quot;</span><span class="p">,</span><span class="n">missing_numerical</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;missing_category:&quot;</span><span class="p">,</span><span class="n">missing_category</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>missing_numerical: [&#39;LotFrontage&#39;, &#39;MasVnrArea&#39;, &#39;GarageYrBlt&#39;]
missing_category: [&#39;Alley&#39;, &#39;MasVnrType&#39;, &#39;BsmtQual&#39;, &#39;BsmtCond&#39;, &#39;BsmtExposure&#39;, &#39;BsmtFinType1&#39;, &#39;BsmtFinType2&#39;, &#39;Electrical&#39;, &#39;FireplaceQu&#39;, &#39;GarageType&#39;, &#39;GarageFinish&#39;, &#39;GarageQual&#39;, &#39;GarageCond&#39;, &#39;PoolQC&#39;, &#39;Fence&#39;, &#39;MiscFeature&#39;]
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[10]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 需要填充众数的特征</span>
<span class="n">fill_Mode</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Electrical&#39;</span><span class="p">]</span> 
<span class="c1"># 需要填充None的特征</span>
<span class="n">fill_None</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Alley&#39;</span><span class="p">,</span> <span class="s1">&#39;MasVnrType&#39;</span><span class="p">,</span> <span class="s1">&#39;BsmtQual&#39;</span><span class="p">,</span> <span class="s1">&#39;BsmtCond&#39;</span><span class="p">,</span> <span class="s1">&#39;BsmtExposure&#39;</span><span class="p">,</span> <span class="s1">&#39;BsmtFinType1&#39;</span><span class="p">,</span> 
             <span class="s1">&#39;BsmtFinType2&#39;</span><span class="p">,</span> <span class="s1">&#39;FireplaceQu&#39;</span><span class="p">,</span> <span class="s1">&#39;GarageType&#39;</span><span class="p">,</span> <span class="s1">&#39;GarageFinish&#39;</span><span class="p">,</span> <span class="s1">&#39;GarageQual&#39;</span><span class="p">,</span> 
             <span class="s1">&#39;GarageCond&#39;</span><span class="p">,</span> <span class="s1">&#39;PoolQC&#39;</span><span class="p">,</span> <span class="s1">&#39;Fence&#39;</span><span class="p">,</span> <span class="s1">&#39;MiscFeature&#39;</span><span class="p">]</span>
<span class="c1"># 需要填充0的特征</span>
<span class="n">fill_0</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;GarageYrBlt&#39;</span><span class="p">]</span>
<span class="c1"># 需要填充中位数的特征</span>
<span class="n">fill_median</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;LotFrontage&#39;</span><span class="p">,</span> <span class="s1">&#39;MasVnrArea&#39;</span><span class="p">]</span>
<span class="c1"># 3.4.1 TODO：按需填补上面数据</span>

<span class="n">data_df</span><span class="p">[</span><span class="n">fill_Mode</span><span class="p">]</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="n">fill_Mode</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">fill_Mode</span><span class="p">]</span><span class="o">.</span><span class="n">mode</span><span class="p">())</span>
<span class="n">data_df</span><span class="p">[</span><span class="n">fill_None</span><span class="p">]</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="n">fill_None</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="s1">&#39;None&#39;</span><span class="p">)</span>
<span class="n">data_df</span><span class="p">[</span><span class="n">fill_0</span><span class="p">]</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="n">fill_0</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">data_df</span><span class="p">[</span><span class="n">fill_median</span><span class="p">]</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="n">fill_median</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">fill_median</span><span class="p">]</span><span class="o">.</span><span class="n">median</span><span class="p">()))</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;4&#65306;-&#29305;&#24449;&#20998;&#26512;">&#32534;&#31243;&#32451;&#20064;4&#65306; &#29305;&#24449;&#20998;&#26512;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;4&#65306;-&#29305;&#24449;&#20998;&#26512;">&#182;</a></h3><p>有这么一句话在业界广泛流传：特征数据决定了机器学习的上限，而模型和算法只是逼近这个上限而已。特征工程，是整个数据分析过程中不可缺少的一个环节，其结果质量直接关系到模型效果和最终结论。从上面两步中我们得到了“干净”的数据，但是<code>data_df</code>总共有81个特征，我们应当剔除那些无关紧要的特征（噪声），使用真正关键的特征来进行模型训练。现在需要我们对这些庞大的数据进行分析，提取出与目标最为关联的数据。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题4.1：绘制<code>'SalePrice'</code>的直方图，并说明该直方图属于什么<a href="https://zh.wikipedia.org/wiki/%E5%81%8F%E5%BA%A6">分布</a></strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 4.1 TODO:绘制要求的图形</span>
<span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;hist&#39;</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[11]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fa58ff2f438&gt;</pre>
</div>

</div>

<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>回答问题4.1：<code>'SalePrice'</code>属于正偏态分布</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>如果特征极其多，很难清晰的看到特征与目标变量之间的关系，就需要利用统计知识来进行多变量分析了。我们常使用<a href="https://seaborn.pydata.org/generated/seaborn.heatmap.html">热图heatmap</a>结合<a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.corr.html">corr方法</a>来进行客观分析，热图Heatmap可以用颜色变化来反映变量之间的相关性二维矩阵或说相关性表格中的数据信息，它可以直观地将数据值的大小以定义的颜色深浅表示出来。这个项目，为了简化训练，我们以相关性绝对值大于0.5为界来选取我们需要的特征。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[12]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 不用修改直接运行</span>
<span class="n">corrmat</span> <span class="o">=</span> <span class="n">data_df</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span><span class="o">.</span><span class="n">abs</span><span class="p">()</span>
<span class="n">top_corr</span> <span class="o">=</span> <span class="n">corrmat</span><span class="p">[</span><span class="n">corrmat</span><span class="p">[</span><span class="s2">&quot;SalePrice&quot;</span><span class="p">]</span><span class="o">&gt;</span><span class="mf">0.5</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;SalePrice&quot;</span><span class="p">],</span> <span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">index</span>
<span class="n">cm</span> <span class="o">=</span> <span class="nb">abs</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">corrcoef</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">top_corr</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">T</span><span class="p">))</span>
<span class="n">f</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">font_scale</span><span class="o">=</span><span class="mf">1.3</span><span class="p">)</span>
<span class="n">hm</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="n">cbar</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                 <span class="n">square</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">&#39;.2f&#39;</span><span class="p">,</span> <span class="n">annot_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;size&#39;</span><span class="p">:</span> <span class="mi">13</span><span class="p">},</span> 
                 <span class="n">yticklabels</span><span class="o">=</span><span class="n">top_corr</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">xticklabels</span><span class="o">=</span><span class="n">top_corr</span><span class="o">.</span><span class="n">values</span><span class="p">);</span>
<span class="n">data_df</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="n">top_corr</span><span class="p">]</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>我们已经从庞大的特征群中筛选出了最相关的特征，也了解了我们目标数据的分布，那么接下来，我们从创造性方面来对我们的特征进行“改造”。</p>
<ul>
<li><strong>创造性</strong>：创造性主要是说两种情况，一种是对现有数据的处理，比如对类别的独热编码（One-hotEncoder）或者标签编码（LabelEncoder），数值的区间缩放，归一化，标准化等等，另一种就是根据某一个或多个特征创造一个新的特征，例如某特征按组分类(groupby)后，或者某些特征组合后来创造新特征等等。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>因为我们筛选出来的特征都为数值类型特征，所以我们只做标准化的操作：这个项目是一个回归类型的项目，而我们的回归算法对标准正态分步预测较为准确，从我们的目标数据可以看出数据是一个偏态分布，那么我们使用log将数据从偏态分布转换为标准正态分布，最后进行标准化。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[13]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 不要修改，直接运行</span>
<span class="kn">from</span> <span class="nn">scipy.special</span> <span class="k">import</span> <span class="n">boxcox1p</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">StandardScaler</span>

<span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">])</span>
<span class="n">numeric_features</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">data_df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
<span class="n">numeric_features</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">)</span>
<span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">numeric_features</span><span class="p">:</span>
    <span class="c1">#all_data[feat] += 1</span>
    <span class="n">data_df</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">boxcox1p</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">feature</span><span class="p">],</span> <span class="mf">0.15</span><span class="p">)</span>

<span class="n">scaler</span> <span class="o">=</span> <span class="n">StandardScaler</span><span class="p">()</span>
<span class="n">scaler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">numeric_features</span><span class="p">])</span>
<span class="n">data_df</span><span class="p">[</span><span class="n">numeric_features</span><span class="p">]</span> <span class="o">=</span> <span class="n">scaler</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">data_df</span><span class="p">[</span><span class="n">numeric_features</span><span class="p">])</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="&#31532;&#19977;&#27493;.-&#24314;&#31435;&#27169;&#22411;">&#31532;&#19977;&#27493;. &#24314;&#31435;&#27169;&#22411;<a class="anchor-link" href="#&#31532;&#19977;&#27493;.-&#24314;&#31435;&#27169;&#22411;">&#182;</a></h2><p>在项目的第三步中，你需要了解必要的工具和技巧来让你的模型能够进行预测。用这些工具和技巧对每一个模型的表现做精确的衡量可以极大地增强你预测的可信度。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;5&#65306;&#23450;&#20041;&#34913;&#37327;&#26631;&#20934;">&#32534;&#31243;&#32451;&#20064;5&#65306;&#23450;&#20041;&#34913;&#37327;&#26631;&#20934;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;5&#65306;&#23450;&#20041;&#34913;&#37327;&#26631;&#20934;">&#182;</a></h3><p>如果不能对模型的训练和测试的表现进行量化地评估，我们就很难衡量模型的好坏。通常我们会定义一些衡量标准，这些标准可以通过对某些误差或者拟合程度的计算来得到。在这个项目中，你将通过运算<a href="https://en.wikipedia.org/wiki/Coefficient_of_determination">决定系数</a> $R^2$ 来量化模型的表现。模型的决定系数是回归分析中十分常用的统计信息，经常被当作衡量模型预测能力好坏的标准。</p>
<p>$R^2$ 的数值范围从0至1，表示<strong>目标变量</strong>的预测值和实际值之间的相关程度平方的百分比。一个模型的 $R^2$ 值为0还不如直接用<strong>平均值</strong>来预测效果好；而一个 $R^2$ 值为1的模型则可以对目标变量进行完美的预测。从0至1之间的数值，则表示该模型中目标变量中有百分之多少能够用<strong>特征</strong>来解释。模型也可能出现负值的 $R^2$，这种情况下模型所做预测有时会比直接计算目标变量的平均值差很多。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题5.1:
在下方代码的 <code>performance_metric</code> 函数中，你要实现：</p>
<ul>
<li>使用 <code>sklearn.metrics</code> 中的 <a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html"><code>r2_score</code></a> 来计算 <code>y_true</code> 和 <code>y_predict</code> 的 $R^2$ 值，作为对其表现的评判。</li>
<li>将他们的表现评分储存到 <code>score</code> 变量中。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[14]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># 5.1 TODO: 引入 &#39;r2_score&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">r2_score</span>

<span class="k">def</span> <span class="nf">performance_metric</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_predict</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Calculates and returns the performance score between </span>
<span class="sd">        true and predicted values based on the metric chosen. &quot;&quot;&quot;</span>
    
    <span class="c1"># TODO: 计算 &#39;y_true&#39; 与 &#39;y_predict&#39; 的r2值</span>
    <span class="n">score</span> <span class="o">=</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span><span class="n">y_predict</span><span class="p">)</span>
    
    <span class="c1"># 返回这一分数</span>
    <span class="k">return</span> <span class="n">score</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 5.2:拟合程度</p>
<p>假设一个数据集有五个数据且某一模型做出下列目标变量的预测：</p>
<table>
<thead><tr>
<th style="text-align:center">真实数值</th>
<th style="text-align:center">预测数值</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">3.0</td>
<td style="text-align:center">2.5</td>
</tr>
<tr>
<td style="text-align:center">-0.5</td>
<td style="text-align:center">0.0</td>
</tr>
<tr>
<td style="text-align:center">2.0</td>
<td style="text-align:center">2.1</td>
</tr>
<tr>
<td style="text-align:center">7.0</td>
<td style="text-align:center">7.8</td>
</tr>
<tr>
<td style="text-align:center">4.2</td>
<td style="text-align:center">5.3</td>
</tr>
</tbody>
</table>
<p><em>你觉得这个模型已成功地描述了目标变量的变化吗？如果成功，请解释为什么，如果没有，也请给出原因。</em></p>
<p><strong>提示1</strong>：运行下方的代码，使用 <code>performance_metric</code> 函数来计算 <code>y_true</code> 和 <code>y_predict</code> 的决定系数。</p>
<p><strong>提示2</strong>：$R^2$ 分数是指可以从自变量中预测的因变量的方差比例。 换一种说法：</p>
<ul>
<li>$R^2$ 为0意味着因变量不能从自变量预测。</li>
<li>$R^2$ 为1意味着可以从自变量预测因变量。</li>
<li>$R^2$ 在0到1之间表示因变量可预测的程度。</li>
<li>$R^2$ 为0.40意味着 Y 中40％的方差可以从 X 预测。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[15]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#TODO 5.2：计算这一模型的表现</span>
<span class="n">score</span> <span class="o">=</span> <span class="n">performance_metric</span><span class="p">([</span><span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mf">4.2</span><span class="p">],</span> <span class="p">[</span><span class="mf">2.5</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">2.1</span><span class="p">,</span> <span class="mf">7.8</span><span class="p">,</span> <span class="mf">5.3</span><span class="p">])</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Model has a coefficient of determination, R^2, of </span><span class="si">{:.3f}</span><span class="s2">.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">score</span><span class="p">))</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>Model has a coefficient of determination, R^2, of 0.923.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 5.2 - 回答:$R^2$ 是0.923意味着，使用该模型时92.3%的数据Y可以从X预测。因此这个模型成功的预测了目标的变化。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;-6:-&#25968;&#25454;&#20998;&#21106;&#19982;&#37325;&#25490;">&#32534;&#31243;&#32451;&#20064; 6: &#25968;&#25454;&#20998;&#21106;&#19982;&#37325;&#25490;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;-6:-&#25968;&#25454;&#20998;&#21106;&#19982;&#37325;&#25490;">&#182;</a></h3><p>接下来，你需要分割波士顿房屋数据集，包括特征与目标变量、训练集和测试集。通常在这个过程中，数据也会被重排，以消除数据集中由于顺序而产生的偏差。
在下面的代码中，你需要</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题6.1：将<code>data_df</code>分割为特征和目标变量</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[16]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: 6.1 </span>
<span class="n">labels</span> <span class="o">=</span> <span class="n">data_df</span><span class="p">[</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">]</span>
<span class="n">features</span> <span class="o">=</span> <span class="n">data_df</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;SalePrice&#39;</span><span class="p">],</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题6.2 ：</p>
<ul>
<li>使用 <code>sklearn.model_selection</code> 中的 <a href="https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html"><code>train_test_split</code></a>， 将 <code>features</code> 和 <code>prices</code> 的数据都分成用于训练的数据子集和用于测试的数据子集。<ul>
<li>分割比例为：80%的数据用于训练，20%用于测试；</li>
<li>选定一个数值以设定 <code>train_test_split</code> 中的 <code>random_state</code> ，这会确保结果的一致性；</li>
</ul>
</li>
<li>将分割后的训练集与测试集分配给 <code>X_train</code>, <code>X_test</code>, <code>y_train</code> 和 <code>y_test</code>。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[17]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: 引入 &#39;train_test_split&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="c1"># TODO: 打乱并分割训练集与测试集</span>
<span class="n">X_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span> <span class="mi">42</span><span class="p">)</span>

<span class="c1"># 成功~</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training and testing split was successful.&quot;</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>Training and testing split was successful.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 6.3 - 训练及测试
<em>将数据集按一定比例分为训练用的数据集和测试用的数据集对学习算法有什么好处？</em></p>
<p><em>如果用模型已经见过的数据，例如部分训练集数据进行测试，又有什么坏处？</em></p>
<p><strong>提示：</strong> 如果没有数据来对模型进行测试，会出现什么问题？</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 6.3 - 回答: 测试集一般用在正个过程的最终阶段，用来检测模型的预测是否成功。如果不分测试集和训练集，并且使用测试集来训练可能导致无法对模型的好坏进行检测，可能导致过拟合。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="&#31532;&#22235;&#27493;.-&#20998;&#26512;&#27169;&#22411;&#30340;&#34920;&#29616;">&#31532;&#22235;&#27493;. &#20998;&#26512;&#27169;&#22411;&#30340;&#34920;&#29616;<a class="anchor-link" href="#&#31532;&#22235;&#27493;.-&#20998;&#26512;&#27169;&#22411;&#30340;&#34920;&#29616;">&#182;</a></h2><p>在项目的第四步，我们来观察不同参数下，模型在训练集和验证集上的表现。这里，我们专注于一个特定的算法（带剪枝的决策树<a href="http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html"><code>DecisionTreeRegressor</code></a>，但这并不是这个项目的重点）和这个算法的一个参数 <code>'max_depth'</code>。用全部训练集训练，选择不同<code>'max_depth'</code> 参数，观察这一参数的变化如何影响模型的表现。画出模型的表现来对于分析过程十分有益。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#23398;&#20064;&#26354;&#32447;">&#23398;&#20064;&#26354;&#32447;<a class="anchor-link" href="#&#23398;&#20064;&#26354;&#32447;">&#182;</a></h3><p>下方区域内的代码会输出四幅图像，它们是一个决策树模型在不同最大深度下的表现。每一条曲线都直观得显示了随着训练数据量的增加，模型学习曲线在训练集评分和验证集评分的变化，评分使用决定系数 $R^2$。曲线的阴影区域代表的是该曲线的不确定性（用标准差衡量）。</p>
<p>运行下方区域中的代码，并利用输出的图形回答下面的问题。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[18]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Produce learning curves for varying training set sizes and maximum depths</span>
<span class="n">vs</span><span class="o">.</span><span class="n">ModelLearning</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-7---&#23398;&#20064;&#26354;&#32447;">&#38382;&#39064; 7 - &#23398;&#20064;&#26354;&#32447;<a class="anchor-link" href="#&#38382;&#39064;-7---&#23398;&#20064;&#26354;&#32447;">&#182;</a></h3><ul>
<li>选择上述图像中的其中一个，并给出其最大深度。</li>
<li>随着训练数据量的增加，训练集曲线的评分有怎样的变化？验证集曲线呢？</li>
<li>如果有更多的训练数据，是否能有效提升模型的表现呢？</li>
</ul>
<p><strong>提示：</strong>学习曲线的评分是否最终会收敛到特定的值？一般来说，你拥有的数据越多，模型表现力越好。但是，如果你的训练和测试曲线以高于基准阈值的分数收敛，这是否有必要？基于训练和测试曲线已经收敛的前提下，思考添加更多训练点的优缺点。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 7 - 回答: 第二个图形中最大深度为3. 随着训练数据量的增加，训练曲线集的评分将会趋于平稳，并且与验证集曲线越来越接近，最终可能会交于一点。对于该模型，更多的训练数据基本不会改变模型表现。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#22797;&#26434;&#24230;&#26354;&#32447;">&#22797;&#26434;&#24230;&#26354;&#32447;<a class="anchor-link" href="#&#22797;&#26434;&#24230;&#26354;&#32447;">&#182;</a></h3><p>下列代码内的区域会输出一幅图像，它展示了一个已经经过训练和验证的决策树模型在不同最大深度条件下的表现。这个图形将包含两条曲线，一个是训练集的变化，一个是验证集的变化。跟<strong>学习曲线</strong>相似，阴影区域代表该曲线的不确定性，模型训练和测试部分的评分都用的 <code>performance_metric</code> 函数。</p>
<p><strong>运行下方区域中的代码，根据问题5与问题6对输出的图形进行分析并给出你思考的结果。</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[19]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">ModelComplexity</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-8---&#20559;&#24046;&#65288;bias&#65289;&#19982;&#26041;&#24046;&#65288;variance&#65289;&#20043;&#38388;&#30340;&#26435;&#34913;&#21462;&#33293;">&#38382;&#39064; 8 - &#20559;&#24046;&#65288;bias&#65289;&#19982;&#26041;&#24046;&#65288;variance&#65289;&#20043;&#38388;&#30340;&#26435;&#34913;&#21462;&#33293;<a class="anchor-link" href="#&#38382;&#39064;-8---&#20559;&#24046;&#65288;bias&#65289;&#19982;&#26041;&#24046;&#65288;variance&#65289;&#20043;&#38388;&#30340;&#26435;&#34913;&#21462;&#33293;">&#182;</a></h3><ul>
<li>当模型以最大深度 1训练时，模型的预测是出现很大的偏差还是出现了很大的方差？</li>
<li>当模型以最大深度10训练时，情形又如何呢？</li>
<li>图形中的哪些特征能够支持你的结论？</li>
</ul>
<p><strong>提示：</strong> 高偏差表示欠拟合（模型过于简单），而高方差表示过拟合（模型过于复杂，以至于无法泛化）。考虑哪种模型（深度1或10）对应着上述的情况，并权衡偏差与方差。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 8 - 回答: 最大深度 1训练时，偏差很大。 当模型以最大深度10训练时，出现的是很大的方差。当深度为1时，训练分数与验证分数都较为低，但是几乎相同， 所以误差很大，应为欠拟合，偏差高。当深度为10时， 训练分数几乎为1，验证分数相对较低，模型过拟合，为高方差。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-9--&#26368;&#20248;&#27169;&#22411;&#30340;&#29468;&#27979;">&#38382;&#39064; 9- &#26368;&#20248;&#27169;&#22411;&#30340;&#29468;&#27979;<a class="anchor-link" href="#&#38382;&#39064;-9--&#26368;&#20248;&#27169;&#22411;&#30340;&#29468;&#27979;">&#182;</a></h3><ul>
<li>结合复杂度曲线，你认为最大深度是多少的模型能够最好地对未见过的数据进行预测？</li>
<li>你得出这个答案的依据是什么？</li>
</ul>
<p><strong>提示</strong>：查看问题8上方的图表，并查看模型在不同 <code>depth</code>下的验证分数。随着深度的增加模型的表现力会变得更好吗？我们在什么情况下获得最佳验证分数而不会使我们的模型过度复杂？请记住，奥卡姆剃刀：“在竞争性假设中，应该选择假设最少的那一个。”</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 9 - 回答:当模型的最大深度为5的时候，模型会较好的预测数据。从问题8的图上可以看出，当深度小于5时，验证集的分数处于增长，并在等于5时基本处与达到最大值。当深度继续增加时模型过拟合，将导致验证分数下降。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="&#31532;&#20116;&#27493;.-&#35780;&#20272;&#27169;&#22411;&#30340;&#34920;&#29616;">&#31532;&#20116;&#27493;. &#35780;&#20272;&#27169;&#22411;&#30340;&#34920;&#29616;<a class="anchor-link" href="#&#31532;&#20116;&#27493;.-&#35780;&#20272;&#27169;&#22411;&#30340;&#34920;&#29616;">&#182;</a></h2><p>在项目的最后一节中，你将构建一个模型，并使用 <code>fit_model</code> 中的优化模型去预测客户特征集。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-10--&#32593;&#26684;&#25628;&#32034;&#65288;Grid-Search&#65289;">&#38382;&#39064; 10- &#32593;&#26684;&#25628;&#32034;&#65288;Grid Search&#65289;<a class="anchor-link" href="#&#38382;&#39064;-10--&#32593;&#26684;&#25628;&#32034;&#65288;Grid-Search&#65289;">&#182;</a></h3><ul>
<li>什么是网格搜索法？</li>
<li>如何用它来优化模型？</li>
</ul>
<p><strong>提示</strong>：在解释网格搜索算法时，首先要理解我们为什么使用网格搜索算法，以及我们使用它的最终目的是什么。为了使你的回答更具有说服力，你还可以给出一个模型中可以使用此方法进行优化参数的示例。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 10 - 回答:使用网格搜索算法的目的时找到合适的参数作为一个模型的输入，从而使这个模型达到最好的效果。例如支持向量机模型，它的参数包含了，kernel,γ 等。 网格搜索法是使用网格来表示所以有可能的参数搭配（对连续参数进行离散化）并对所有的参数组合进行测试来找到最优的参数搭配来作为模型的参数输入。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-11---&#20132;&#21449;&#39564;&#35777;">&#38382;&#39064; 11 - &#20132;&#21449;&#39564;&#35777;<a class="anchor-link" href="#&#38382;&#39064;-11---&#20132;&#21449;&#39564;&#35777;">&#182;</a></h3><ul>
<li>什么是K折交叉验证法（k-fold cross-validation）？</li>
<li><a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html">GridSearchCV</a> 是如何结合交叉验证来完成对最佳参数组合的选择的？</li>
<li><a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html">GridSearchCV</a> 中的<code>'cv_results_'</code>属性能告诉我们什么？</li>
<li>网格搜索为什么要使用K折交叉验证？K折交叉验证能够避免什么问题？</li>
</ul>
<p><strong>提示</strong>：在解释k-fold交叉验证时，一定要理解'k'是什么，和数据集是如何分成不同的部分来进行训练和测试的，以及基于'k'值运行的次数。
在考虑k-fold交叉验证如何帮助网格搜索时，你可以使用特定的数据子集来进行训练与测试有什么缺点，以及K折交叉验证是如何帮助缓解这个问题。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>问题 11 - 回答：K折交叉验证法是将整个数据集分成k份，然后运行k次，并且每次使用不同的部分作为测试集与训练集。其中数据可以随机进行排序以避免顺序导致的偏差。最终用平均值来决定模型。GridSearchCV中有cv参数可以设置k-fold交叉验证的k值，从而使GridSearchCV使用k-fold法，这能避免在使用固定的训练与测试集时造成的数据利用率低的问题，并且可以避免使用测试集进行训练的问题。cv_results_是numpy ndarrays的dict，它能告诉我们k-fold之后不同参数的运行评分。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32534;&#31243;&#32451;&#20064;-7&#65306;&#35757;&#32451;&#26368;&#20248;&#27169;&#22411;">&#32534;&#31243;&#32451;&#20064; 7&#65306;&#35757;&#32451;&#26368;&#20248;&#27169;&#22411;<a class="anchor-link" href="#&#32534;&#31243;&#32451;&#20064;-7&#65306;&#35757;&#32451;&#26368;&#20248;&#27169;&#22411;">&#182;</a></h3><p>在这个练习中，你将需要将所学到的内容整合，使用<strong>决策树算法</strong>训练一个模型。为了得出的是一个最优模型，你需要使用网格搜索法训练模型，以找到最佳的 <code>'max_depth'</code> 参数。你可以把<code>'max_depth'</code> 参数理解为决策树算法在做出预测前，允许其对数据提出问题的数量。决策树是<strong>监督学习算法</strong>中的一种。</p>
<p>在下方 <code>fit_model</code> 函数中，你需要做的是：</p>
<ol>
<li><strong>定义 <code>'cross_validator'</code> 变量</strong>: 使用 <code>sklearn.model_selection</code> 中的 <a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html"><code>KFold</code></a> 创建一个交叉验证生成器对象;</li>
<li><strong>定义 <code>'regressor'</code> 变量</strong>: 使用  <code>sklearn.tree</code> 中的 <a href="http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html"><code>DecisionTreeRegressor</code></a> 创建一个决策树的回归函数;</li>
<li><strong>定义 <code>'params'</code> 变量</strong>: 为 <code>'max_depth'</code> 参数创造一个字典，它的值是从1至10的数组;</li>
<li><strong>定义 <code>'scoring_fnc'</code> 变量</strong>: 使用 <code>sklearn.metrics</code> 中的 <a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html"><code>make_scorer</code></a>  创建一个评分函数；
将 <code>‘performance_metric’</code> 作为参数传至这个函数中；</li>
<li><strong>定义 <code>'grid'</code> 变量</strong>: 使用 <code>sklearn.model_selection</code> 中的 <a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html"><code>GridSearchCV</code></a> 创建一个网格搜索对象；将变量<code>'regressor'</code>, <code>'params'</code>, <code>'scoring_fnc'</code>和 <code>'cross_validator'</code> 作为参数传至这个对象构造函数中；</li>
</ol>
<p>如果你对python函数的默认参数定义和传递不熟悉，可以参考这个MIT课程的<a href="http://cn-static.udacity.com/mlnd/videos/MIT600XXT114-V004200_DTH.mp4">视频</a>。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[20]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Import &#39;make_scorer&#39;, &#39;DecisionTreeRegressor&#39;, and &#39;GridSearchCV&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">make_scorer</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">DecisionTreeRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">GridSearchCV</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">KFold</span>

<span class="k">def</span> <span class="nf">fit_model</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Performs grid search over the &#39;max_depth&#39; parameter for a </span>
<span class="sd">        decision tree regressor trained on the input data [X, y]. &quot;&quot;&quot;</span>
    
    <span class="n">cross_validator</span> <span class="o">=</span> <span class="n">KFold</span><span class="p">(</span><span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    
    <span class="c1"># TODO: Create a decision tree regressor object</span>
    <span class="n">regressor</span> <span class="o">=</span> <span class="n">DecisionTreeRegressor</span><span class="p">()</span>

    <span class="c1"># TODO: Create a dictionary for the parameter &#39;max_depth&#39; with a range from 1 to 10</span>
    <span class="n">params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;max_depth&#39;</span><span class="p">:</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">10</span><span class="p">))}</span>

    <span class="c1"># TODO: Transform &#39;performance_metric&#39; into a scoring function using &#39;make_scorer&#39; </span>
    <span class="n">scoring_fnc</span> <span class="o">=</span> <span class="n">make_scorer</span><span class="p">(</span><span class="n">performance_metric</span><span class="p">)</span>

    <span class="c1"># TODO: Create the grid search cv object --&gt; GridSearchCV()</span>
    <span class="c1"># Make sure to include the right parameters in the object:</span>
    <span class="c1"># (estimator, param_grid, scoring, cv) which have values &#39;regressor&#39;, &#39;params&#39;, &#39;scoring_fnc&#39;, and &#39;cross_validator&#39; respectively.</span>
    <span class="n">grid</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">estimator</span> <span class="o">=</span> <span class="n">regressor</span><span class="p">,</span> <span class="n">param_grid</span> <span class="o">=</span> <span class="n">params</span><span class="p">,</span> <span class="n">scoring</span> <span class="o">=</span> <span class="n">scoring_fnc</span><span class="p">,</span> <span class="n">cv</span> <span class="o">=</span> <span class="n">cross_validator</span><span class="p">)</span>

    <span class="c1"># Fit the grid search object to the data to compute the optimal model</span>
    <span class="n">grid</span> <span class="o">=</span> <span class="n">grid</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>

    <span class="c1"># Return the optimal model after fitting the data</span>
    <span class="k">return</span> <span class="n">grid</span><span class="o">.</span><span class="n">best_estimator_</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="&#31532;&#20845;&#27493;.-&#20570;&#20986;&#39044;&#27979;">&#31532;&#20845;&#27493;. &#20570;&#20986;&#39044;&#27979;<a class="anchor-link" href="#&#31532;&#20845;&#27493;.-&#20570;&#20986;&#39044;&#27979;">&#182;</a></h2><p>当我们用数据训练出一个模型，它就可用于对新的数据进行预测。在我们的例子--决策树回归函数中，模型已经学会对新输入的数据“提问”，并返回对<strong>目标变量</strong>的预测值。你可以用这些预测来获取未知目标变量的数据的信息，但是，输入的新数据必须不能是已有训练数据之中的。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#38382;&#39064;-12---&#26368;&#20248;&#27169;&#22411;">&#38382;&#39064; 12 - &#26368;&#20248;&#27169;&#22411;<a class="anchor-link" href="#&#38382;&#39064;-12---&#26368;&#20248;&#27169;&#22411;">&#182;</a></h3><p><em>最优模型的最大深度（maximum depth）是多少？此答案与你在<strong>问题 9</strong>所做的猜测是否相同？</em></p>
<p>运行下方区域内的代码，将决策树回归函数代入训练数据的集合，以得到最优化的模型。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[21]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Fit the training data to the model using grid search</span>
<span class="n">reg</span> <span class="o">=</span> <span class="n">fit_model</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>

<span class="c1"># Produce the value for &#39;max_depth&#39;</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Parameter &#39;max_depth&#39; is </span><span class="si">{}</span><span class="s2"> for the optimal model.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">reg</span><span class="o">.</span><span class="n">get_params</span><span class="p">()[</span><span class="s1">&#39;max_depth&#39;</span><span class="p">]))</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>Parameter &#39;max_depth&#39; is 5 for the optimal model.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>最终，使用我们确认好的参数来对测试数据进行预测，完成下面的问题，来看看我们的训练结果如何吧</p>
<p><strong>问题12.1：填入上题所确认的最优参数，查看测试结果</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[22]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">depth</span> <span class="o">=</span> <span class="mi">5</span>
<span class="n">regressor</span> <span class="o">=</span> <span class="n">DecisionTreeRegressor</span><span class="p">(</span><span class="n">max_depth</span> <span class="o">=</span> <span class="n">depth</span><span class="p">)</span>
<span class="n">regressor</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
<span class="n">y_pred</span> <span class="o">=</span> <span class="n">regressor</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
<span class="n">score</span> <span class="o">=</span> <span class="n">performance_metric</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_pred</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;The R2 score is &quot;</span><span class="p">,</span><span class="n">score</span><span class="p">)</span>
</pre></div>

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

<div class="output_wrapper">
<div class="output">


<div class="output_area">

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


<div class="output_subarea output_stream output_stdout output_text">
<pre>The R2 score is  0.7892169061457802
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>问题12.2：你刚刚计算了最优模型在测试集上的决定系数，你会如何评价这个结果？还有什么地方可以改进，以提升这一分数呢？</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>回答问题12.2：R2分数为0.79左右。该分数在预期中。其结果基本符合问题8图中，当最大深度为5时的验证集的分数，0.7-0.8之间。在项目的特征筛选阶段，去除了所有的非数字特征，但是这并不一定准确。或许有些类型特征也会对房价造成一定的影响。并且为了简化，该项目以相关性绝对值大于0.5为界来选取特征，这也有可能会影响到最终结果。因此在这些被简化了的地方进行扩展和合理的改变，可以提升分数。</p>

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

 
</html>