report.html

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

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  display: none;
}
.command-shortcut:before {
  content: "(command)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
    </style>
<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
    </style>
<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

    </style>


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

div#notebook {
  overflow: visible;
  border-top: none;
}

@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

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

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

<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="&#26426;&#22120;&#23398;&#20064;&#32435;&#31859;&#23398;&#20301;">&#26426;&#22120;&#23398;&#20064;&#32435;&#31859;&#23398;&#20301;<a class="anchor-link" href="#&#26426;&#22120;&#23398;&#20064;&#32435;&#31859;&#23398;&#20301;">&#182;</a></h1><h2 id="&#30417;&#30563;&#23398;&#20064;">&#30417;&#30563;&#23398;&#20064;<a class="anchor-link" href="#&#30417;&#30563;&#23398;&#20064;">&#182;</a></h2><h2 id="&#39033;&#30446;2:-&#20026;CharityML&#23547;&#25214;&#25424;&#29486;&#32773;">&#39033;&#30446;2: &#20026;<em>CharityML</em>&#23547;&#25214;&#25424;&#29486;&#32773;<a class="anchor-link" href="#&#39033;&#30446;2:-&#20026;CharityML&#23547;&#25214;&#25424;&#29486;&#32773;">&#182;</a></h2>
</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>欢迎来到机器学习工程师纳米学位的第二个项目！在此文件中，有些示例代码已经提供给你，但你还需要实现更多的功能让项目成功运行。除非有明确要求，你无须修改任何已给出的代码。以<strong>'练习'</strong>开始的标题表示接下来的代码部分中有你必须要实现的功能。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'TODO'标出。请仔细阅读所有的提示！</p>
<p>除了实现代码外，你还必须回答一些与项目和你的实现有关的问题。每一个需要你回答的问题都会以<strong>'问题 X'</strong>为标题。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。我们将根据你对问题的回答和撰写代码所实现的功能来对你提交的项目进行评分。</p>
<blockquote><p><strong>提示：</strong>Code 和 Markdown 区域可通过<strong>Shift + Enter</strong>快捷键运行。此外，Markdown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">
<h2 id="&#24320;&#22987;">&#24320;&#22987;<a class="anchor-link" href="#&#24320;&#22987;">&#182;</a></h2><p>在这个项目中，你将使用1994年美国人口普查收集的数据，选用几个监督学习算法以准确地建模被调查者的收入。然后，你将根据初步结果从中选择出最佳的候选算法，并进一步优化该算法以最好地建模这些数据。你的目标是建立一个能够准确地预测被调查者年收入是否超过50000美元的模型。这种类型的任务会出现在那些依赖于捐款而存在的非营利性组织。了解人群的收入情况可以帮助一个非营利性的机构更好地了解他们要多大的捐赠，或是否他们应该接触这些人。虽然我们很难直接从公开的资源中推断出一个人的一般收入阶层，但是我们可以（也正是我们将要做的）从其他的一些公开的可获得的资源中获得一些特征从而推断出该值。</p>
<p>这个项目的数据集来自<a href="https://archive.ics.uci.edu/ml/datasets/Census+Income">UCI机器学习知识库</a>。这个数据集是由Ron Kohavi和Barry Becker在发表文章<em>"Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid"</em>之后捐赠的，你可以在Ron Kohavi提供的<a href="https://www.aaai.org/Papers/KDD/1996/KDD96-033.pdf">在线版本</a>中找到这个文章。我们在这里探索的数据集相比于原有的数据集有一些小小的改变，比如说移除了特征<code>'fnlwgt'</code> 以及一些遗失的或者是格式不正确的记录。</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="&#25506;&#32034;&#25968;&#25454;">&#25506;&#32034;&#25968;&#25454;<a class="anchor-link" href="#&#25506;&#32034;&#25968;&#25454;">&#182;</a></h2><p>运行下面的代码单元以载入需要的Python库并导入人口普查数据。注意数据集的最后一列<code>'income'</code>将是我们需要预测的列（表示被调查者的年收入会大于或者是最多50,000美元），人口普查数据中的每一列都将是关于被调查者的特征。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># 检查你的Python版本</span>
<span class="kn">from</span> <span class="nn">sys</span> <span class="kn">import</span> <span class="n">version_info</span>
<span class="k">if</span> <span class="n">version_info</span><span class="o">.</span><span class="n">major</span> <span class="o">!=</span> <span class="mi">2</span> <span class="ow">and</span> <span class="n">version_info</span><span class="o">.</span><span class="n">minor</span> <span class="o">!=</span> <span class="mi">7</span><span class="p">:</span>
    <span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s1">&#39;请使用Python 2.7来完成此项目&#39;</span><span class="p">)</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># 为这个项目导入需要的库</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="kn">as</span> <span class="nn">pd</span>
<span class="kn">from</span> <span class="nn">time</span> <span class="kn">import</span> <span class="n">time</span>
<span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">display</span> <span class="c1"># 允许为DataFrame使用display()</span>

<span class="c1"># 导入附加的可视化代码visuals.py</span>
<span class="kn">import</span> <span class="nn">visuals</span> <span class="kn">as</span> <span class="nn">vs</span>

<span class="c1"># 为notebook提供更加漂亮的可视化</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="c1"># 导入人口普查数据</span>
<span class="n">data</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;census.csv&quot;</span><span class="p">)</span>

<span class="c1"># 成功 - 显示第一条记录</span>
<span class="n">display</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">n</span><span class="o">=</span><span class="mi">1</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_html rendered_html output_subarea ">
<div>
<style>
    .dataframe thead tr:only-child th {
        text-align: right;
    }

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

    .dataframe tbody tr th {
        vertical-align: top;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>workclass</th>
      <th>education_level</th>
      <th>education-num</th>
      <th>marital-status</th>
      <th>occupation</th>
      <th>relationship</th>
      <th>race</th>
      <th>sex</th>
      <th>capital-gain</th>
      <th>capital-loss</th>
      <th>hours-per-week</th>
      <th>native-country</th>
      <th>income</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>39</td>
      <td>State-gov</td>
      <td>Bachelors</td>
      <td>13.0</td>
      <td>Never-married</td>
      <td>Adm-clerical</td>
      <td>Not-in-family</td>
      <td>White</td>
      <td>Male</td>
      <td>2174.0</td>
      <td>0.0</td>
      <td>40.0</td>
      <td>United-States</td>
      <td>&lt;=50K</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32451;&#20064;&#65306;&#25968;&#25454;&#25506;&#32034;">&#32451;&#20064;&#65306;&#25968;&#25454;&#25506;&#32034;<a class="anchor-link" href="#&#32451;&#20064;&#65306;&#25968;&#25454;&#25506;&#32034;">&#182;</a></h3><p>首先我们对数据集进行一个粗略的探索，我们将看看每一个类别里会有多少被调查者？并且告诉我们这些里面多大比例是年收入大于50,000美元的。在下面的代码单元中，你将需要计算以下量：</p>
<ul>
<li>总的记录数量，<code>'n_records'</code></li>
<li>年收入大于50,000美元的人数，<code>'n_greater_50k'</code>.</li>
<li>年收入最多为50,000美元的人数 <code>'n_at_most_50k'</code>.</li>
<li>年收入大于50,000美元的人所占的比例， <code>'greater_percent'</code>.</li>
</ul>
<p><strong>提示：</strong> 您可能需要查看上面的生成的表，以了解<code>'income'</code>条目的格式是什么样的。</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-ipython2"><pre><span></span><span class="c1"># TODO：总的记录数</span>
<span class="n">n_records</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>

<span class="c1"># TODO：被调查者的收入大于$50,000的人数</span>
<span class="n">n_greater_50k</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">income</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;&gt;50K&#39;</span><span class="p">)]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>

<span class="c1"># TODO：被调查者的收入最多为$50,000的人数</span>
<span class="n">n_at_most_50k</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">income</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">contains</span><span class="p">(</span><span class="s1">&#39;&lt;=50K&#39;</span><span class="p">)]</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>

<span class="c1"># TODO：被调查者收入大于$50,000所占的比例</span>
<span class="n">greater_percent</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">n_greater_50k</span><span class="p">,</span><span class="nb">float</span><span class="p">(</span><span class="n">n_records</span><span class="p">))</span><span class="o">*</span><span class="mi">100</span>

<span class="c1"># 打印结果</span>
<span class="k">print</span> <span class="s2">&quot;Total number of records: {}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_records</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Individuals making more than $50,000: {}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_greater_50k</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Individuals making at most $50,000: {}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_at_most_50k</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Percentage of individuals making more than $50,000: {:.2f}%&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">greater_percent</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>Total number of records: 45222
Individuals making more than $50,000: 11208
Individuals making at most $50,000: 34014
Percentage of individuals making more than $50,000: 24.78%
</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="&#20934;&#22791;&#25968;&#25454;">&#20934;&#22791;&#25968;&#25454;<a class="anchor-link" href="#&#20934;&#22791;&#25968;&#25454;">&#182;</a></h2><p>在数据能够被作为输入提供给机器学习算法之前，它经常需要被清洗，格式化，和重新组织 - 这通常被叫做<strong>预处理</strong>。幸运的是，对于这个数据集，没有我们必须处理的无效或丢失的条目，然而，由于某一些特征存在的特性我们必须进行一定的调整。这个预处理都可以极大地帮助我们提升几乎所有的学习算法的结果和预测能力。</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="&#36716;&#25442;&#20542;&#26012;&#30340;&#36830;&#32493;&#29305;&#24449;">&#36716;&#25442;&#20542;&#26012;&#30340;&#36830;&#32493;&#29305;&#24449;<a class="anchor-link" href="#&#36716;&#25442;&#20542;&#26012;&#30340;&#36830;&#32493;&#29305;&#24449;">&#182;</a></h3><p>一个数据集有时可能包含至少一个靠近某个数字的特征，但有时也会有一些相对来说存在极大值或者极小值的不平凡分布的的特征。算法对这种分布的数据会十分敏感，并且如果这种数据没有能够很好地规一化处理会使得算法表现不佳。在人口普查数据集的两个特征符合这个描述：'<code>capital-gain'</code>和<code>'capital-loss'</code>。</p>
<p>运行下面的代码单元以创建一个关于这两个特征的条形图。请注意当前的值的范围和它们是如何分布的。</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-ipython2"><pre><span></span><span class="c1"># 将数据切分成特征和对应的标签</span>
<span class="n">income_raw</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;income&#39;</span><span class="p">]</span>
<span class="n">features_raw</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;income&#39;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>

<span class="c1"># 可视化原来数据的倾斜的连续特征</span>
<span class="n">vs</span><span class="o">.</span><span class="n">distribution</span><span class="p">(</span><span class="n">data</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,iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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>对于高度倾斜分布的特征如<code>'capital-gain'</code>和<code>'capital-loss'</code>，常见的做法是对数据施加一个<a href="https://en.wikipedia.org/wiki/Data_transformation_(statistics)">对数转换</a>，将数据转换成对数，这样非常大和非常小的值不会对学习算法产生负面的影响。并且使用对数变换显著降低了由于异常值所造成的数据范围异常。但是在应用这个变换时必须小心：因为0的对数是没有定义的，所以我们必须先将数据处理成一个比0稍微大一点的数以成功完成对数转换。</p>
<p>运行下面的代码单元来执行数据的转换和可视化结果。再次，注意值的范围和它们是如何分布的。</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-ipython2"><pre><span></span><span class="c1"># 对于倾斜的数据使用Log转换</span>
<span class="n">skewed</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;capital-gain&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-loss&#39;</span><span class="p">]</span>
<span class="n">features_raw</span><span class="p">[</span><span class="n">skewed</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">skewed</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">x</span> <span class="o">+</span> <span class="mi">1</span><span class="p">))</span>

<span class="c1"># 可视化经过log之后的数据分布</span>
<span class="n">vs</span><span class="o">.</span><span class="n">distribution</span><span class="p">(</span><span class="n">features_raw</span><span class="p">,</span> <span class="n">transformed</span> <span class="o">=</span> <span class="bp">True</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,iVBORw0KGgoAAAANSUhEUgAAAxAAAAF2CAYAAAD+y36TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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="&#35268;&#19968;&#21270;&#25968;&#23383;&#29305;&#24449;">&#35268;&#19968;&#21270;&#25968;&#23383;&#29305;&#24449;<a class="anchor-link" href="#&#35268;&#19968;&#21270;&#25968;&#23383;&#29305;&#24449;">&#182;</a></h3><p>除了对于高度倾斜的特征施加转换，对数值特征施加一些形式的缩放通常会是一个好的习惯。在数据上面施加一个缩放并不会改变数据分布的形式（比如上面说的'capital-gain' or 'capital-loss'）；但是，规一化保证了每一个特征在使用监督学习器的时候能够被平等的对待。注意一旦使用了缩放，观察数据的原始形式不再具有它本来的意义了，就像下面的例子展示的。</p>
<p>运行下面的代码单元来规一化每一个数字特征。我们将使用<a href="http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html"><code>sklearn.preprocessing.MinMaxScaler</code></a>来完成这个任务。</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-ipython2"><pre><span></span><span class="c1"># 导入sklearn.preprocessing.StandardScaler</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">MinMaxScaler</span>

<span class="c1"># 初始化一个 scaler，并将它施加到特征上</span>
<span class="n">scaler</span> <span class="o">=</span> <span class="n">MinMaxScaler</span><span class="p">()</span>
<span class="n">numerical</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;age&#39;</span><span class="p">,</span> <span class="s1">&#39;education-num&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-gain&#39;</span><span class="p">,</span> <span class="s1">&#39;capital-loss&#39;</span><span class="p">,</span> <span class="s1">&#39;hours-per-week&#39;</span><span class="p">]</span>
<span class="n">features_raw</span><span class="p">[</span><span class="n">numerical</span><span class="p">]</span> <span class="o">=</span> <span class="n">scaler</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">numerical</span><span class="p">])</span>

<span class="c1"># 显示一个经过缩放的样例记录</span>
<span class="n">display</span><span class="p">(</span><span class="n">features_raw</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="n">n</span> <span class="o">=</span> <span class="mi">1</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_html rendered_html output_subarea ">
<div>
<style>
    .dataframe thead tr:only-child th {
        text-align: right;
    }

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

    .dataframe tbody tr th {
        vertical-align: top;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>age</th>
      <th>workclass</th>
      <th>education_level</th>
      <th>education-num</th>
      <th>marital-status</th>
      <th>occupation</th>
      <th>relationship</th>
      <th>race</th>
      <th>sex</th>
      <th>capital-gain</th>
      <th>capital-loss</th>
      <th>hours-per-week</th>
      <th>native-country</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>0.30137</td>
      <td>State-gov</td>
      <td>Bachelors</td>
      <td>0.8</td>
      <td>Never-married</td>
      <td>Adm-clerical</td>
      <td>Not-in-family</td>
      <td>White</td>
      <td>Male</td>
      <td>0.02174</td>
      <td>0.0</td>
      <td>0.397959</td>
      <td>United-States</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="&#32451;&#20064;&#65306;&#25968;&#25454;&#39044;&#22788;&#29702;">&#32451;&#20064;&#65306;&#25968;&#25454;&#39044;&#22788;&#29702;<a class="anchor-link" href="#&#32451;&#20064;&#65306;&#25968;&#25454;&#39044;&#22788;&#29702;">&#182;</a></h3><p>从上面的<strong>数据探索</strong>中的表中，我们可以看到有几个属性的每一条记录都是非数字的。通常情况下，学习算法期望输入是数字的，这要求非数字的特征（称为类别变量）被转换。转换类别变量的一种流行的方法是使用<strong>独热编码</strong>方案。独热编码为每一个非数字特征的每一个可能的类别创建一个<em>“虚拟”</em>变量。例如，假设<code>someFeature</code>有三个可能的取值<code>A</code>，<code>B</code>或者<code>C</code>，。我们将把这个特征编码成<code>someFeature_A</code>, <code>someFeature_B</code>和<code>someFeature_C</code>.</p>
<table>
<thead><tr>
<th style="text-align:center"></th>
<th style="text-align:center">一些特征</th>
<th></th>
<th style="text-align:center">特征_A</th>
<th style="text-align:center">特征_B</th>
<th style="text-align:center">特征_C</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">0</td>
<td style="text-align:center">B</td>
<td></td>
<td style="text-align:center">0</td>
<td style="text-align:center">1</td>
<td style="text-align:center">0</td>
</tr>
<tr>
<td style="text-align:center">1</td>
<td style="text-align:center">C</td>
<td>----&gt; 独热编码 ----&gt;</td>
<td style="text-align:center">0</td>
<td style="text-align:center">0</td>
<td style="text-align:center">1</td>
</tr>
<tr>
<td style="text-align:center">2</td>
<td style="text-align:center">A</td>
<td></td>
<td style="text-align:center">1</td>
<td style="text-align:center">0</td>
<td style="text-align:center">0</td>
</tr>
</tbody>
</table>
<p>此外，对于非数字的特征，我们需要将非数字的标签<code>'income'</code>转换成数值以保证学习算法能够正常工作。因为这个标签只有两种可能的类别（"&lt;=50K"和"&gt;50K"），我们不必要使用独热编码，可以直接将他们编码分别成两个类<code>0</code>和<code>1</code>，在下面的代码单元中你将实现以下功能：</p>
<ul>
<li>使用<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html?highlight=get_dummies#pandas.get_dummies"><code>pandas.get_dummies()</code></a>对<code>'features_raw'</code>数据来施加一个独热编码。</li>
<li>将目标标签<code>'income_raw'</code>转换成数字项。<ul>
<li>将"&lt;=50K"转换成<code>0</code>；将"&gt;50K"转换成<code>1</code>。</li>
</ul>
</li>
</ul>

</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-ipython2"><pre><span></span><span class="c1"># TODO：使用pandas.get_dummies()对&#39;features_raw&#39;数据进行独热编码</span>
<span class="n">features</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">features_raw</span><span class="p">)</span>

<span class="c1"># TODO：将&#39;income_raw&#39;编码成数字值</span>
<span class="n">income</span> <span class="o">=</span> <span class="n">income_raw</span><span class="o">.</span><span class="n">replace</span><span class="p">([</span><span class="s1">&#39;&gt;50K&#39;</span><span class="p">,</span> <span class="s1">&#39;&lt;=50K&#39;</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">])</span>
<span class="c1"># 打印经过独热编码之后的特征数量</span>
<span class="n">encoded</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">features</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;{} total features after one-hot encoding.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">encoded</span><span class="p">))</span>
<span class="c1">#print income.unique()</span>
<span class="c1"># 移除下面一行的注释以观察编码的特征名字</span>
<span class="k">print</span> <span class="n">encoded</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>103 total features after one-hot encoding.
[&#39;age&#39;, &#39;education-num&#39;, &#39;capital-gain&#39;, &#39;capital-loss&#39;, &#39;hours-per-week&#39;, &#39;workclass_ Federal-gov&#39;, &#39;workclass_ Local-gov&#39;, &#39;workclass_ Private&#39;, &#39;workclass_ Self-emp-inc&#39;, &#39;workclass_ Self-emp-not-inc&#39;, &#39;workclass_ State-gov&#39;, &#39;workclass_ Without-pay&#39;, &#39;education_level_ 10th&#39;, &#39;education_level_ 11th&#39;, &#39;education_level_ 12th&#39;, &#39;education_level_ 1st-4th&#39;, &#39;education_level_ 5th-6th&#39;, &#39;education_level_ 7th-8th&#39;, &#39;education_level_ 9th&#39;, &#39;education_level_ Assoc-acdm&#39;, &#39;education_level_ Assoc-voc&#39;, &#39;education_level_ Bachelors&#39;, &#39;education_level_ Doctorate&#39;, &#39;education_level_ HS-grad&#39;, &#39;education_level_ Masters&#39;, &#39;education_level_ Preschool&#39;, &#39;education_level_ Prof-school&#39;, &#39;education_level_ Some-college&#39;, &#39;marital-status_ Divorced&#39;, &#39;marital-status_ Married-AF-spouse&#39;, &#39;marital-status_ Married-civ-spouse&#39;, &#39;marital-status_ Married-spouse-absent&#39;, &#39;marital-status_ Never-married&#39;, &#39;marital-status_ Separated&#39;, &#39;marital-status_ Widowed&#39;, &#39;occupation_ Adm-clerical&#39;, &#39;occupation_ Armed-Forces&#39;, &#39;occupation_ Craft-repair&#39;, &#39;occupation_ Exec-managerial&#39;, &#39;occupation_ Farming-fishing&#39;, &#39;occupation_ Handlers-cleaners&#39;, &#39;occupation_ Machine-op-inspct&#39;, &#39;occupation_ Other-service&#39;, &#39;occupation_ Priv-house-serv&#39;, &#39;occupation_ Prof-specialty&#39;, &#39;occupation_ Protective-serv&#39;, &#39;occupation_ Sales&#39;, &#39;occupation_ Tech-support&#39;, &#39;occupation_ Transport-moving&#39;, &#39;relationship_ Husband&#39;, &#39;relationship_ Not-in-family&#39;, &#39;relationship_ Other-relative&#39;, &#39;relationship_ Own-child&#39;, &#39;relationship_ Unmarried&#39;, &#39;relationship_ Wife&#39;, &#39;race_ Amer-Indian-Eskimo&#39;, &#39;race_ Asian-Pac-Islander&#39;, &#39;race_ Black&#39;, &#39;race_ Other&#39;, &#39;race_ White&#39;, &#39;sex_ Female&#39;, &#39;sex_ Male&#39;, &#39;native-country_ Cambodia&#39;, &#39;native-country_ Canada&#39;, &#39;native-country_ China&#39;, &#39;native-country_ Columbia&#39;, &#39;native-country_ Cuba&#39;, &#39;native-country_ Dominican-Republic&#39;, &#39;native-country_ Ecuador&#39;, &#39;native-country_ El-Salvador&#39;, &#39;native-country_ England&#39;, &#39;native-country_ France&#39;, &#39;native-country_ Germany&#39;, &#39;native-country_ Greece&#39;, &#39;native-country_ Guatemala&#39;, &#39;native-country_ Haiti&#39;, &#39;native-country_ Holand-Netherlands&#39;, &#39;native-country_ Honduras&#39;, &#39;native-country_ Hong&#39;, &#39;native-country_ Hungary&#39;, &#39;native-country_ India&#39;, &#39;native-country_ Iran&#39;, &#39;native-country_ Ireland&#39;, &#39;native-country_ Italy&#39;, &#39;native-country_ Jamaica&#39;, &#39;native-country_ Japan&#39;, &#39;native-country_ Laos&#39;, &#39;native-country_ Mexico&#39;, &#39;native-country_ Nicaragua&#39;, &#39;native-country_ Outlying-US(Guam-USVI-etc)&#39;, &#39;native-country_ Peru&#39;, &#39;native-country_ Philippines&#39;, &#39;native-country_ Poland&#39;, &#39;native-country_ Portugal&#39;, &#39;native-country_ Puerto-Rico&#39;, &#39;native-country_ Scotland&#39;, &#39;native-country_ South&#39;, &#39;native-country_ Taiwan&#39;, &#39;native-country_ Thailand&#39;, &#39;native-country_ Trinadad&amp;Tobago&#39;, &#39;native-country_ United-States&#39;, &#39;native-country_ Vietnam&#39;, &#39;native-country_ Yugoslavia&#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">
<h3 id="&#28151;&#27927;&#21644;&#20999;&#20998;&#25968;&#25454;">&#28151;&#27927;&#21644;&#20999;&#20998;&#25968;&#25454;<a class="anchor-link" href="#&#28151;&#27927;&#21644;&#20999;&#20998;&#25968;&#25454;">&#182;</a></h3><p>现在所有的 <em>类别变量</em> 已被转换成数值特征，而且所有的数值特征已被规一化。和我们一般情况下做的一样，我们现在将数据（包括特征和它们的标签）切分成训练和测试集。其中80%的数据将用于训练和20%的数据用于测试。</p>
<p>运行下面的代码单元来完成切分。</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-ipython2"><pre><span></span><span class="c1"># 导入 train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>

<span class="c1"># 将&#39;features&#39;和&#39;income&#39;数据切分成训练集和测试集</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">income</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">0</span><span class="p">)</span>

<span class="c1"># 显示切分的结果</span>
<span class="k">print</span> <span class="s2">&quot;Training set has {} samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="k">print</span> <span class="s2">&quot;Testing set has {} samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</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 set has 36177 samples.
Testing set has 9045 samples.
</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="&#35780;&#20215;&#27169;&#22411;&#24615;&#33021;">&#35780;&#20215;&#27169;&#22411;&#24615;&#33021;<a class="anchor-link" href="#&#35780;&#20215;&#27169;&#22411;&#24615;&#33021;">&#182;</a></h2><p>在这一部分中，我们将尝试四种不同的算法，并确定哪一个能够最好地建模数据。这里面的三个将是你选择的监督学习器，而第四种算法被称为一个<em>朴素的预测器</em>。</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="&#35780;&#20215;&#26041;&#27861;&#21644;&#26420;&#32032;&#30340;&#39044;&#27979;&#22120;">&#35780;&#20215;&#26041;&#27861;&#21644;&#26420;&#32032;&#30340;&#39044;&#27979;&#22120;<a class="anchor-link" href="#&#35780;&#20215;&#26041;&#27861;&#21644;&#26420;&#32032;&#30340;&#39044;&#27979;&#22120;">&#182;</a></h3><p><em>CharityML</em>通过他们的研究人员知道被调查者的年收入大于\$50,000最有可能向他们捐款。因为这个原因*CharityML*对于准确预测谁能够获得\$50,000以上收入尤其有兴趣。这样看起来使用<strong>准确率</strong>作为评价模型的标准是合适的。另外，把<em>没有</em>收入大于\$50,000的人识别成年收入大于\$50,000对于<em>CharityML</em>来说是有害的，因为他想要找到的是有意愿捐款的用户。这样，我们期望的模型具有准确预测那些能够年收入大于\$50,000的能力比模型去<strong>查全</strong>这些被调查者<em>更重要</em>。我们能够使用<strong>F-beta score</strong>作为评价指标，这样能够同时考虑查准率和查全率：</p>
$$ F_{\beta} = (1 + \beta^2) \cdot \frac{precision \cdot recall}{\left( \beta^2 \cdot precision \right) + recall} $$<p>尤其是，当$\beta = 0.5$的时候更多的强调查准率，这叫做<strong>F$_{0.5}$ score</strong> （或者为了简单叫做F-score）。</p>
<p>通过查看不同类别的数据分布（那些最多赚\$50,000和那些能够赚更多的），我们能发现：很明显的是很多的被调查者年收入没有超过\$50,000。这点会显著地影响<strong>准确率</strong>，因为我们可以简单地预测说<em>“这个人的收入没有超过\$50,000”</em>，这样我们甚至不用看数据就能做到我们的预测在一般情况下是正确的！做这样一个预测被称作是<strong>朴素的</strong>，因为我们没有任何信息去证实这种说法。通常考虑对你的数据使用一个<em>朴素的预测器</em>是十分重要的，这样能够帮助我们建立一个模型的表现是否好的基准。那有人说，使用这样一个预测是没有意义的：如果我们预测所有人的收入都低于\$50,000，那么<em>CharityML</em>就不会有人捐款了。</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;-1---&#26420;&#32032;&#39044;&#27979;&#22120;&#30340;&#24615;&#33021;">&#38382;&#39064; 1 - &#26420;&#32032;&#39044;&#27979;&#22120;&#30340;&#24615;&#33021;<a class="anchor-link" href="#&#38382;&#39064;-1---&#26420;&#32032;&#39044;&#27979;&#22120;&#30340;&#24615;&#33021;">&#182;</a></h3><p><em>如果我们选择一个无论什么情况都预测被调查者年收入大于\$50,000的模型，那么这个模型在这个数据集上的准确率和F-score是多少？</em><br>
<strong>注意：</strong> 你必须使用下面的代码单元将你的计算结果赋值给<code>'accuracy'</code> 和 <code>'fscore'</code>，这些值会在后面被使用，请注意这里不能使用scikit-learn，你需要根据公式自己实现相关计算。</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-ipython2"><pre><span></span><span class="c1"># TODO： 计算准确率</span>
<span class="n">accuracy</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">n_greater_50k</span><span class="p">,</span> <span class="nb">float</span><span class="p">(</span><span class="n">n_records</span><span class="p">))</span>

<span class="c1"># TODO： 使用上面的公式，并设置beta=0.5计算F-score</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">divide</span><span class="p">(</span><span class="n">n_greater_50k</span><span class="p">,</span> <span class="n">n_greater_50k</span><span class="p">)</span>
<span class="n">fscore</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">power</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">multiply</span><span class="p">(</span><span class="n">accuracy</span><span class="p">,</span> <span class="n">recall</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">power</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> <span class="o">*</span> <span class="n">accuracy</span> <span class="o">+</span> <span class="n">recall</span><span class="p">)</span>

<span class="c1"># 打印结果</span>
<span class="k">print</span> <span class="s2">&quot;Naive Predictor: [Accuracy score: {:.4f}, F-score: {:.4f}]&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="p">,</span> <span class="n">fscore</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>Naive Predictor: [Accuracy score: 0.2478, F-score: 0.2917]
</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="&#30417;&#30563;&#23398;&#20064;&#27169;&#22411;">&#30417;&#30563;&#23398;&#20064;&#27169;&#22411;<a class="anchor-link" href="#&#30417;&#30563;&#23398;&#20064;&#27169;&#22411;">&#182;</a></h3><p><strong>下面的监督学习模型是现在在</strong> <a href="http://scikit-learn.org/stable/supervised_learning.html"><code>scikit-learn</code></a> <strong>中你能够选择的模型</strong></p>
<ul>
<li>高斯朴素贝叶斯 (GaussianNB)</li>
<li>决策树</li>
<li>集成方法 (Bagging, AdaBoost, Random Forest, Gradient Boosting)</li>
<li>K近邻 (KNeighbors)</li>
<li>随机梯度下降分类器 (SGDC)</li>
<li>支撑向量机 (SVM)</li>
<li>Logistic回归</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="&#38382;&#39064;-2---&#27169;&#22411;&#24212;&#29992;">&#38382;&#39064; 2 - &#27169;&#22411;&#24212;&#29992;<a class="anchor-link" href="#&#38382;&#39064;-2---&#27169;&#22411;&#24212;&#29992;">&#182;</a></h3><p>列出从上面的监督学习模型中选择的三个适合我们这个问题的模型，你将在人口普查数据上测试这每个算法。对于你选择的每一个算法：</p>
<ul>
<li><em>描述一个该模型在真实世界的一个应用场景。（你需要为此做点研究，并给出你的引用出处）</em></li>
<li><em>这个模型的优势是什么？他什么情况下表现最好？</em></li>
<li><em>这个模型的缺点是什么？什么条件下它表现很差？</em></li>
<li><em>根据我们当前数据集的特点，为什么这个模型适合这个问题。</em></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>回答： </strong>选择的算法决策树、集成方法、支撑向量机（SVM）<br/></p>
<ul>
<li>决策树<br/><ul>
<li>应用场景：银行等信用机构预测贷款用户是否有偿还贷款的能力。<a href="http://blog.jobbole.com/89072/">引用出处</a><br/></li>
<li>优势：决策树易于理解和实现，对缺失值不敏感，模型可以一次构建反复使用。什么情况表现好：实例是由“属性-值”对表示，目标函数具有离散的输出值。<br/></li>
<li>缺点：容易出现过拟合，对于类比不一致样本，决策树的信心增益倾向于那些数据值较多的特征。什么条件下表现差：分类的类别过于复杂，数据的属性之间具有很强的关联性。<br/></li>
<li>为什么适合：该问题是非线性的，决策树可以很好的解决非线性问题，而且不需要对数据过多的处理等。<br></li>
</ul>
</li>
<li>集成方法（AdaBoost）<br/><ul>
<li>应用场景：模式识别，计算机视觉领域等。<a href="http://blog.csdn.net/mach_learn/article/details/39501849">引用出处</a><br/></li>
<li>优势：很好的利用了弱分类器进行级联，具有很高的精度。什么情况表现好：解决二分类和多分类问题，。</li>
<li>缺点：数据集的不平衡分布导致分类器的分类精度下降，训练比较耗费时间。什么条件下表现差：数据集分布很不均匀。</li>
<li>为什么适合：income只有两个属性，因此可以归为二分类问题，适用于AdaBoost。</li>
</ul>
</li>
<li>支持向量机（SVM）<ul>
<li>应用场景：模式识别相关领域。<a href="http://blog.csdn.net/gdut2015go/article/details/46711837">引用出处</a></li>
<li>优势：可以有效处理高维空间数据。什么情况表现好：数据的维度较高</li>
<li>缺点：无法处理大规模的数据集，训练时间较长。什么条件下表现差：数据集数据量大，对算法的训练效率要求较高。</li>
<li>为什么适合：该项目数据集经过独热编码后维度较高，而且该项目提供的样本数据相对较少。</li>
</ul>
</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="&#32451;&#20064;---&#21019;&#24314;&#19968;&#20010;&#35757;&#32451;&#21644;&#39044;&#27979;&#30340;&#27969;&#27700;&#32447;">&#32451;&#20064; - &#21019;&#24314;&#19968;&#20010;&#35757;&#32451;&#21644;&#39044;&#27979;&#30340;&#27969;&#27700;&#32447;<a class="anchor-link" href="#&#32451;&#20064;---&#21019;&#24314;&#19968;&#20010;&#35757;&#32451;&#21644;&#39044;&#27979;&#30340;&#27969;&#27700;&#32447;">&#182;</a></h3><p>为了正确评估你选择的每一个模型的性能，创建一个能够帮助你快速有效地使用不同大小的训练集并在测试集上做预测的训练和测试的流水线是十分重要的。
你在这里实现的功能将会在接下来的部分中被用到。在下面的代码单元中，你将实现以下功能：</p>
<ul>
<li>从<a href="http://scikit-learn.org/stable/modules/classes.html#sklearn-metrics-metrics"><code>sklearn.metrics</code></a>中导入<code>fbeta_score</code>和<code>accuracy_score</code>。</li>
<li>用样例训练集拟合学习器，并记录训练时间。</li>
<li>用学习器来对训练集进行预测并记录预测时间。</li>
<li>在最前面的300个<em>训练数据</em>上做预测。</li>
<li>计算训练数据和测试数据的准确率。</li>
<li>计算训练数据和测试数据的F-score。</li>
</ul>

</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-ipython2"><pre><span></span><span class="c1"># TODO：从sklearn中导入两个评价指标 - fbeta_score和accuracy_score</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">fbeta_score</span><span class="p">,</span> <span class="n">accuracy_score</span>

<span class="k">def</span> <span class="nf">train_predict</span><span class="p">(</span><span class="n">learner</span><span class="p">,</span> <span class="n">sample_size</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">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">):</span> 
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    inputs:</span>
<span class="sd">       - learner: the learning algorithm to be trained and predicted on</span>
<span class="sd">       - sample_size: the size of samples (number) to be drawn from training set</span>
<span class="sd">       - X_train: features training set</span>
<span class="sd">       - y_train: income training set</span>
<span class="sd">       - X_test: features testing set</span>
<span class="sd">       - y_test: income testing set</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
    
    <span class="c1"># TODO：使用sample_size大小的训练数据来拟合学习器</span>
    <span class="c1"># TODO: Fit the learner to the training data using slicing with &#39;sample_size&#39;</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># 获得程序开始时间</span>
    <span class="n">learner</span> <span class="o">=</span> <span class="n">learner</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">sample_size</span><span class="p">],</span><span class="n">y_train</span><span class="p">[:</span><span class="n">sample_size</span><span class="p">])</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># 获得程序结束时间</span>
    
    <span class="c1"># TODO：计算训练时间</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;train_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
    
    <span class="c1"># TODO: 得到在测试集上的预测值</span>
    <span class="c1">#       然后得到对前300个训练数据的预测结果</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># 获得程序开始时间</span>
    <span class="n">predictions_test</span> <span class="o">=</span> <span class="n">learner</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">predictions_train</span> <span class="o">=</span> <span class="n">learner</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_train</span><span class="p">[:</span> <span class="mi">300</span><span class="p">])</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="p">()</span> <span class="c1"># 获得程序结束时间</span>
    
    <span class="c1"># TODO：计算预测用时</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;pred_time&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
            
    <span class="c1"># TODO：计算在最前面的300个训练数据的准确率</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;acc_train&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">[:</span> <span class="mi">300</span><span class="p">],</span> <span class="n">predictions_train</span><span class="p">)</span>
        
    <span class="c1"># TODO：计算在测试集上的准确率</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;acc_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span><span class="n">predictions_test</span><span class="p">)</span>
    
    <span class="c1"># TODO：计算在最前面300个训练数据上的F-score</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;f_train&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">[:</span> <span class="mi">300</span><span class="p">],</span> <span class="n">predictions_train</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)</span>
        
    <span class="c1"># TODO：计算测试集上的F-score</span>
    <span class="n">results</span><span class="p">[</span><span class="s1">&#39;f_test&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions_test</span><span class="p">,</span><span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)</span>
       
    <span class="c1"># 成功</span>
    <span class="k">print</span> <span class="s2">&quot;{} trained on {} samples.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">learner</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="p">,</span> <span class="n">sample_size</span><span class="p">)</span>  
    <span class="c1">#print y_train.unique()</span>
    <span class="c1"># 返回结果</span>
    <span class="k">return</span> <span class="n">results</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="&#32451;&#20064;&#65306;&#21021;&#22987;&#27169;&#22411;&#30340;&#35780;&#20272;">&#32451;&#20064;&#65306;&#21021;&#22987;&#27169;&#22411;&#30340;&#35780;&#20272;<a class="anchor-link" href="#&#32451;&#20064;&#65306;&#21021;&#22987;&#27169;&#22411;&#30340;&#35780;&#20272;">&#182;</a></h3><p>在下面的代码单元中，您将需要实现以下功能：</p>
<ul>
<li>导入你在前面讨论的三个监督学习模型。             </li>
<li>初始化三个模型并存储在<code>'clf_A'</code>，<code>'clf_B'</code>和<code>'clf_C'</code>中。         <ul>
<li>如果可能对每一个模型都设置一个<code>random_state</code>。       </li>
<li><strong>注意：</strong>这里先使用每一个模型的默认参数，在接下来的部分中你将需要对某一个模型的参数进行调整。             </li>
</ul>
</li>
<li>计算记录的数目等于1%，10%，和100%的训练数据，并将这些值存储在<code>'samples'</code>中             </li>
</ul>
<p><strong>注意：</strong>取决于你选择的算法，下面实现的代码可能需要一些时间来运行！</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-ipython2"><pre><span></span><span class="c1"># TODO：从sklearn中导入三个监督学习模型</span>
<span class="c1">#from sklearn import tree,svm,ensemble</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="kn">import</span> <span class="n">DecisionTreeClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.svm</span> <span class="kn">import</span> <span class="n">SVC</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">AdaBoostClassifier</span>
<span class="c1"># TODO：初始化三个模型</span>
<span class="n">clf_A</span> <span class="o">=</span> <span class="n">DecisionTreeClassifier</span><span class="p">(</span><span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>
<span class="n">clf_B</span> <span class="o">=</span> <span class="n">SVC</span><span class="p">(</span><span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>
<span class="n">clf_C</span> <span class="o">=</span> <span class="n">AdaBoostClassifier</span><span class="p">(</span><span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>

<span class="c1"># TODO：计算1%， 10%， 100%的训练数据分别对应多少点</span>
<span class="n">samples_1</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="mf">0.01</span><span class="p">)</span>
<span class="n">samples_10</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="mf">0.1</span><span class="p">)</span>
<span class="n">samples_100</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">*</span><span class="mi">1</span><span class="p">)</span>
<span class="k">print</span> <span class="p">[</span><span class="n">samples_1</span><span class="p">,</span><span class="n">samples_10</span><span class="p">,</span><span class="n">samples_100</span><span class="p">]</span>
<span class="c1"># 收集学习器的结果</span>
<span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">clf</span> <span class="ow">in</span> <span class="p">[</span><span class="n">clf_A</span><span class="p">,</span> <span class="n">clf_B</span><span class="p">,</span> <span class="n">clf_C</span><span class="p">]:</span>
    <span class="n">clf_name</span> <span class="o">=</span> <span class="n">clf</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
    <span class="n">results</span><span class="p">[</span><span class="n">clf_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">samples</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="n">samples_1</span><span class="p">,</span> <span class="n">samples_10</span><span class="p">,</span> <span class="n">samples_100</span><span class="p">]):</span>
        <span class="n">results</span><span class="p">[</span><span class="n">clf_name</span><span class="p">][</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_predict</span><span class="p">(</span><span class="n">clf</span><span class="p">,</span> <span class="n">samples</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">X_test</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
        

<span class="c1"># 对选择的三个模型得到的评价结果进行可视化</span>
<span class="n">vs</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">results</span><span class="p">,</span> <span class="n">accuracy</span><span class="p">,</span> <span class="n">fscore</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>[361, 3617, 36177]
DecisionTreeClassifier trained on 361 samples.
DecisionTreeClassifier trained on 3617 samples.
DecisionTreeClassifier trained on 36177 samples.
</pre>
</div>
</div>

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

<div class="output_subarea output_stream output_stderr output_text">
<pre>/home/liuchunlei/anaconda2/lib/python2.7/site-packages/sklearn/metrics/classification.py:1113: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no predicted samples.
  &#39;precision&#39;, &#39;predicted&#39;, average, warn_for)
</pre>
</div>
</div>

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

<div class="output_subarea output_stream output_stdout output_text">
<pre>SVC trained on 361 samples.
SVC trained on 3617 samples.
SVC trained on 36177 samples.
AdaBoostClassifier trained on 361 samples.
AdaBoostClassifier trained on 3617 samples.
AdaBoostClassifier trained on 36177 samples.
</pre>
</div>
</div>

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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAxAAAAIuCAYAAAAv/u6UAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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">
<hr>
<h2 id="&#25552;&#39640;&#25928;&#26524;">&#25552;&#39640;&#25928;&#26524;<a class="anchor-link" href="#&#25552;&#39640;&#25928;&#26524;">&#182;</a></h2><p>在这最后一节中，您将从三个有监督的学习模型中选择<em>最好的</em>模型来使用学生数据。你将在整个训练集（<code>X_train</code>和<code>y_train</code>）上通过使用网格搜索优化至少调节一个参数以获得一个比没有调节之前更好的F-score。</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;-3---&#36873;&#25321;&#26368;&#20339;&#30340;&#27169;&#22411;">&#38382;&#39064; 3 - &#36873;&#25321;&#26368;&#20339;&#30340;&#27169;&#22411;<a class="anchor-link" href="#&#38382;&#39064;-3---&#36873;&#25321;&#26368;&#20339;&#30340;&#27169;&#22411;">&#182;</a></h3><p><em>基于你前面做的评价，用一到两段向</em>CharityML<em>解释这三个模型中哪一个对于判断被调查者的年收入大于\$50,000是最合适的。</em><br>
<strong>提示：</strong>你的答案应该包括关于评价指标，预测/训练时间，以及该算法是否适合这里的数据的讨论。</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>回答：</strong>AdaBoost算法最合适。<br/></p>
<ol>
<li>在训练集上虽然决策树表现最好，但在测试集上几乎表现最差，说明出现了过拟合现象。AdaBoost与SVM相比，在训练和测试分数上都有优势。<br/></li>
<li>在预测/训练时间上，AdaBoost和决策树相差不大，但SVM使用的时间太长，说明算法的效率比较差。<br/></li>
<li>此数据集包含很多标签信息，适合使用AdaBoost来处理。</li>
</ol>

</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;-4---&#29992;&#36890;&#20439;&#30340;&#35805;&#35299;&#37322;&#27169;&#22411;">&#38382;&#39064; 4 - &#29992;&#36890;&#20439;&#30340;&#35805;&#35299;&#37322;&#27169;&#22411;<a class="anchor-link" href="#&#38382;&#39064;-4---&#29992;&#36890;&#20439;&#30340;&#35805;&#35299;&#37322;&#27169;&#22411;">&#182;</a></h3><p><em>用一到两段话，向</em>CharityML<em>用外行也听得懂的话来解释最终模型是如何工作的。你需要解释所选模型的主要特点。例如，这个模型是怎样被训练的，它又是如何做出预测的。避免使用高级的数学或技术术语，不要使用公式或特定的算法名词。</em></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>回答： </strong> AdaBoost算法基本原理就是将多个弱分类器进行合理的结合，使其成为一个强分类器。首先对N个样本赋予初始的权值1/N，训练过程中如果某个样本点已经被准确的分类，那么构造下一个训练集时该数据的权值会被降低，相反，如果某个样本点没有被准确的分类，那么该数据的权值就会增加，然后将权值更新后的样本数据用于训练下一个分类器，如此迭代下去。各个分类器训练结束后，加大误差率小的分类器的权重，使该分类器最终的分类函数起到较大的作用，降低误差率大的分类器的权重，使其在最终的分类器占得权重较小。</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="&#32451;&#20064;&#65306;&#27169;&#22411;&#35843;&#20248;">&#32451;&#20064;&#65306;&#27169;&#22411;&#35843;&#20248;<a class="anchor-link" href="#&#32451;&#20064;&#65306;&#27169;&#22411;&#35843;&#20248;">&#182;</a></h3><p>调节选择的模型的参数。使用网格搜索（GridSearchCV）来至少调整模型的重要参数（至少调整一个），这个参数至少需给出并尝试3个不同的值。你要使用整个训练集来完成这个过程。在接下来的代码单元中，你需要实现以下功能：</p>
<ul>
<li>导入<a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html"><code>sklearn.model_selection.GridSearchCV</code></a>和<a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html"><code>sklearn.metrics.make_scorer</code></a>.</li>
<li>初始化你选择的分类器，并将其存储在<code>clf</code>中。<ul>
<li>如果能够设置的话，设置<code>random_state</code>。</li>
</ul>
</li>
<li>创建一个对于这个模型你希望调整参数的字典。<ul>
<li>例如: parameters = {'parameter' : [list of values]}。</li>
<li><strong>注意：</strong> 如果你的学习器（learner）有 <code>max_features</code> 参数，请不要调节它！</li>
</ul>
</li>
<li>使用<code>make_scorer</code>来创建一个<code>fbeta_score</code>评分对象（设置$\beta = 0.5$）。</li>
<li>在分类器clf上用'scorer'作为评价函数运行网格搜索，并将结果存储在grid_obj中。</li>
<li>用训练集（X_train, y_train）训练grid search object,并将结果存储在<code>grid_fit</code>中。</li>
</ul>
<p><strong>注意：</strong> 取决于你选择的参数列表，下面实现的代码可能需要花一些时间运行！</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[98]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># TODO：导入&#39;GridSearchCV&#39;, &#39;make_scorer&#39;和其他一些需要的库</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">AdaBoostClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">GridSearchCV</span><span class="p">,</span><span class="n">KFold</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">make_scorer</span>
<span class="c1"># TODO：初始化分类器</span>
<span class="n">clf</span> <span class="o">=</span> <span class="n">AdaBoostClassifier</span><span class="p">(</span><span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>

<span class="c1"># TODO：创建你希望调节的参数列表</span>
<span class="n">parameters</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_estimators&#39;</span><span class="p">:[</span><span class="mi">100</span><span class="p">,</span><span class="mi">200</span><span class="p">,</span><span class="mi">300</span><span class="p">]}</span>

<span class="c1"># TODO：创建一个fbeta_score打分对象</span>
<span class="n">scorer</span> <span class="o">=</span> <span class="n">make_scorer</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">)</span>

<span class="c1"># TODO：在分类器上使用网格搜索，使用&#39;scorer&#39;作为评价函数</span>
<span class="n">grid_obj</span> <span class="o">=</span> <span class="n">GridSearchCV</span><span class="p">(</span><span class="n">clf</span><span class="p">,</span> <span class="n">parameters</span><span class="p">,</span> <span class="n">scorer</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">KFold</span><span class="p">(</span><span class="n">n_splits</span><span class="o">=</span> <span class="mi">10</span><span class="p">))</span>

<span class="c1"># TODO：用训练数据拟合网格搜索对象并找到最佳参数</span>
<span class="n">grid_fit</span> <span class="o">=</span> <span class="n">grid_obj</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="c1"># 得到estimator</span>
<span class="n">best_clf</span> <span class="o">=</span> <span class="n">grid_obj</span><span class="o">.</span><span class="n">best_estimator_</span>

<span class="c1"># 使用没有调优的模型做预测</span>
<span class="n">predictions</span> <span class="o">=</span> <span class="p">(</span><span class="n">clf</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="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
<span class="n">best_predictions</span> <span class="o">=</span> <span class="n">best_clf</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="c1"># 汇报调参前和调参后的分数</span>
<span class="k">print</span> <span class="s2">&quot;Unoptimized model</span><span class="se">\n</span><span class="s2">------&quot;</span>
<span class="k">print</span> <span class="s2">&quot;Accuracy score on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;F-score on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Optimized Model</span><span class="se">\n</span><span class="s2">------&quot;</span>
<span class="k">print</span> <span class="s2">&quot;Final accuracy score on the testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;Final F-score on the testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</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>Unoptimized model
------
Accuracy score on testing data: 0.8576
F-score on testing data: 0.7246

Optimized Model
------
Final accuracy score on the testing data: 0.8663
Final F-score on the testing data: 0.7425
</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="&#38382;&#39064;-5---&#26368;&#32456;&#27169;&#22411;&#35780;&#20272;">&#38382;&#39064; 5 - &#26368;&#32456;&#27169;&#22411;&#35780;&#20272;<a class="anchor-link" href="#&#38382;&#39064;-5---&#26368;&#32456;&#27169;&#22411;&#35780;&#20272;">&#182;</a></h3><p><em>你的最优模型在测试数据上的准确率和F-score是多少？这些分数比没有优化的模型好还是差？你优化的结果相比于你在<strong>问题 1</strong>中得到的朴素预测器怎么样？</em><br>
<strong>注意：</strong>请在下面的表格中填写你的结果，然后在答案框中提供讨论。</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">
<h4 id="&#32467;&#26524;:">&#32467;&#26524;:<a class="anchor-link" href="#&#32467;&#26524;:">&#182;</a></h4><table>
<thead><tr>
<th style="text-align:center">评价指标</th>
<th style="text-align:center">基准预测器</th>
<th style="text-align:center">未优化的模型</th>
<th style="text-align:center">优化的模型</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">准确率</td>
<td style="text-align:center">0.2478</td>
<td style="text-align:center">0.8576</td>
<td style="text-align:center">0.8663</td>
</tr>
<tr>
<td style="text-align:center">F-score</td>
<td style="text-align:center">0.2917</td>
<td style="text-align:center">0.7246</td>
<td style="text-align:center">0.7425</td>
</tr>
</tbody>
</table>

</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>回答：</strong>使用AdaBoost模型并通过网格搜索对参数n_estimators进行调整，得到的分数略微好于没有优化的模型，但远远好于朴素预测器得到的分数。</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="&#29305;&#24449;&#30340;&#37325;&#35201;&#24615;">&#29305;&#24449;&#30340;&#37325;&#35201;&#24615;<a class="anchor-link" href="#&#29305;&#24449;&#30340;&#37325;&#35201;&#24615;">&#182;</a></h2><p>在数据上（比如我们这里使用的人口普查的数据）使用监督学习算法的一个重要的任务是决定哪些特征能够提供最强的预测能力。通过专注于一些少量的有效特征和标签之间的关系，我们能够更加简单地理解这些现象，这在很多情况下都是十分有用的。在这个项目的情境下这表示我们希望选择一小部分特征，这些特征能够在预测被调查者是否年收入大于\$50,000这个问题上有很强的预测能力。</p>
<p>选择一个有<code>feature_importance_</code>属性（这是一个根据这个选择的分类器来对特征的重要性进行排序的函数）的scikit学习分类器（例如，AdaBoost，随机森林）。在下一个Python代码单元中用这个分类器拟合训练集数据并使用这个属性来决定这个人口普查数据中最重要的5个特征。</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;-6---&#35266;&#23519;&#29305;&#24449;&#30456;&#20851;&#24615;">&#38382;&#39064; 6 - &#35266;&#23519;&#29305;&#24449;&#30456;&#20851;&#24615;<a class="anchor-link" href="#&#38382;&#39064;-6---&#35266;&#23519;&#29305;&#24449;&#30456;&#20851;&#24615;">&#182;</a></h3><p>当<strong>探索数据</strong>的时候，它显示在这个人口普查数据集中每一条记录我们有十三个可用的特征。<br>
<em>在这十三个记录中，你认为哪五个特征对于预测是最重要的，你会怎样对他们排序？理由是什么？</em></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>回答：</strong>education_level:因为受教育程度越高的人往往拥有获得更多收入的能力。<br/>
hours-per-week:工作时间越多获得更多收入的可能越大。<br/>
age:年龄越大经验越丰富，获得更多收入的机会越大。<br/>
captial-gain:资金的获得多少是决定收入的重要部分。<br/>
occupation:虽然各行各业都有收入多和收入少的，但有时候你所在的行业决定了你收入的水平。</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="&#32451;&#20064;---&#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;">&#32451;&#20064; - &#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;<a class="anchor-link" href="#&#32451;&#20064;---&#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;">&#182;</a></h3><p>选择一个<code>scikit-learn</code>中有<code>feature_importance_</code>属性的监督学习分类器，这个属性是一个在做预测的时候根据所选择的算法来对特征重要性进行排序的功能。</p>
<p>在下面的代码单元中，你将要实现以下功能：</p>
<ul>
<li>如果这个模型和你前面使用的三个模型不一样的话从sklearn中导入一个监督学习模型。</li>
<li>在整个训练集上训练一个监督学习模型。</li>
<li>使用模型中的<code>'.feature_importances_'</code>提取特征的重要性。</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[104]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># TODO：导入一个有&#39;feature_importances_&#39;的监督学习模型</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">ExtraTreesClassifier</span>
<span class="c1"># TODO：在训练集上训练一个监督学习模型</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">ExtraTreesClassifier</span><span class="p">(</span><span class="n">random_state</span> <span class="o">=</span> <span class="mi">0</span><span class="p">)</span>
<span class="n">model</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="c1"># TODO： 提取特征重要性</span>
<span class="n">importances</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="c1"># 绘图</span>
<span class="n">vs</span><span class="o">.</span><span class="n">feature_plot</span><span class="p">(</span><span class="n">importances</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,iVBORw0KGgoAAAANSUhEUgAAAn4AAAFgCAYAAAAl5HQWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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---&#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;">&#38382;&#39064; 7 - &#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;<a class="anchor-link" href="#&#38382;&#39064;-7---&#25552;&#21462;&#29305;&#24449;&#37325;&#35201;&#24615;">&#182;</a></h3><p>观察上面创建的展示五个用于预测被调查者年收入是否大于\$50,000最相关的特征的可视化图像。
<em>这五个特征和你在<strong>问题 6</strong>中讨论的特征比较怎么样？如果说你的答案和这里的相近，那么这个可视化怎样佐证了你的想法？如果你的选择不相近，那么为什么你觉得这些特征更加相关？</em></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>回答：</strong>与问题6中讨论的部分相关，例如：age hours-per-week,  matrial-status_Married-civ-spouse表示已婚，稳定的婚姻也是保证收入的重要条件，relationship_Husband表示已婚，家庭责任也是促进一个人努力工作增加收入的重要因素。</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="&#29305;&#24449;&#36873;&#25321;">&#29305;&#24449;&#36873;&#25321;<a class="anchor-link" href="#&#29305;&#24449;&#36873;&#25321;">&#182;</a></h3><p>如果我们只是用可用特征的一个子集的话模型表现会怎么样？通过使用更少的特征来训练，在评价指标的角度来看我们的期望是训练和预测的时间会更少。从上面的可视化来看，我们可以看到前五个最重要的特征贡献了数据中<strong>所有</strong>特征中超过一半的重要性。这提示我们可以尝试去<em>减小特征空间</em>，并简化模型需要学习的信息。下面代码单元将使用你前面发现的优化模型，并<em>只使用五个最重要的特征</em>在相同的训练集上训练模型。</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[105]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># 导入克隆模型的功能</span>
<span class="kn">from</span> <span class="nn">sklearn.base</span> <span class="kn">import</span> <span class="n">clone</span>

<span class="c1"># 减小特征空间</span>
<span class="n">X_train_reduced</span> <span class="o">=</span> <span class="n">X_train</span><span class="p">[</span><span class="n">X_train</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">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">importances</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">])[:</span><span class="mi">5</span><span class="p">]]]</span>
<span class="n">X_test_reduced</span> <span class="o">=</span> <span class="n">X_test</span><span class="p">[</span><span class="n">X_test</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">np</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">importances</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">])[:</span><span class="mi">5</span><span class="p">]]]</span>

<span class="c1"># 在前面的网格搜索的基础上训练一个“最好的”模型</span>
<span class="n">clf</span> <span class="o">=</span> <span class="p">(</span><span class="n">clone</span><span class="p">(</span><span class="n">best_clf</span><span class="p">))</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train_reduced</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>

<span class="c1"># 做一个新的预测</span>
<span class="n">reduced_predictions</span> <span class="o">=</span> <span class="n">clf</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test_reduced</span><span class="p">)</span>

<span class="c1"># 对于每一个版本的数据汇报最终模型的分数</span>
<span class="k">print</span> <span class="s2">&quot;Final Model trained on full data</span><span class="se">\n</span><span class="s2">------&quot;</span>
<span class="k">print</span> <span class="s2">&quot;Accuracy on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;F-score on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">best_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Final Model trained on reduced data</span><span class="se">\n</span><span class="s2">------&quot;</span>
<span class="k">print</span> <span class="s2">&quot;Accuracy on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">reduced_predictions</span><span class="p">))</span>
<span class="k">print</span> <span class="s2">&quot;F-score on testing data: {:.4f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">fbeta_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">reduced_predictions</span><span class="p">,</span> <span class="n">beta</span> <span class="o">=</span> <span class="mf">0.5</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>Final Model trained on full data
------
Accuracy on testing data: 0.8663
F-score on testing data: 0.7425

Final Model trained on reduced data
------
Accuracy on testing data: 0.8226
F-score on testing data: 0.6396
</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="&#38382;&#39064;-8---&#29305;&#24449;&#36873;&#25321;&#30340;&#24433;&#21709;">&#38382;&#39064; 8 - &#29305;&#24449;&#36873;&#25321;&#30340;&#24433;&#21709;<a class="anchor-link" href="#&#38382;&#39064;-8---&#29305;&#24449;&#36873;&#25321;&#30340;&#24433;&#21709;">&#182;</a></h3><p><em>最终模型在只是用五个特征的数据上和使用所有的特征数据上的F-score和准确率相比怎么样？</em><br>
<em>如果训练时间是一个要考虑的因素，你会考虑使用部分特征的数据作为你的训练集吗？</em></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>回答：</strong>如果只是用五个特种数据会使得F-score和准确率略有下降。如果需要考虑训练时间，我会考虑只使用一部分比较重要的特征作为训练集。</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">
<blockquote><p><strong>注意：</strong> 当你写完了所有的代码，并且回答了所有的问题。你就可以把你的 iPython Notebook 导出成 HTML 文件。你可以在菜单栏，这样导出<strong>File -&gt; Download as -&gt; HTML (.html)</strong>把这个 HTML 和这个 iPython notebook 一起做为你的作业提交。</p>
</blockquote>

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

 
</html>