report.html

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

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

<style type="text/css">
    /*!
*
* Twitter Bootstrap
*
*/
/*!
 * Bootstrap v3.3.6 (http://getbootstrap.com)
 * Copyright 2011-2015 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: thin dotted;
  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: thin dotted;
  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: thin dotted;
  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;
  }
}
#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
 */
ul#tabs {
  margin-bottom: 4px;
}
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;
}
.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;
}
#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;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.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 {
  /* 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;
}
@-moz-document url-prefix() {
  div.inner_cell {
    overflow-x: hidden;
  }
}
/* 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: 20ex;
  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 {
  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-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 .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.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 .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.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="Machine-Learning-Engineer-Nanodegree">Machine Learning Engineer Nanodegree<a class="anchor-link" href="#Machine-Learning-Engineer-Nanodegree">&#182;</a></h1><h2 id="Model-Evaluation-&amp;-Validation">Model Evaluation &amp; Validation<a class="anchor-link" href="#Model-Evaluation-&amp;-Validation">&#182;</a></h2><h2 id="Project:-Predicting-Boston-Housing-Prices">Project: Predicting Boston Housing Prices<a class="anchor-link" href="#Project:-Predicting-Boston-Housing-Prices">&#182;</a></h2><p>Welcome to the first project of the Machine Learning Engineer Nanodegree! In this notebook, some template code has already been provided for you, and you will need to implement additional functionality to successfully complete this project. You will not need to modify the included code beyond what is requested. Sections that begin with <strong>'Implementation'</strong> in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!</p>
<p>In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a <strong>'Question X'</strong> header. Carefully read each question and provide thorough answers in the following text boxes that begin with <strong>'Answer:'</strong>. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.</p>
<blockquote><p><strong>Note:</strong> Code and Markdown cells can be executed using the <strong>Shift + Enter</strong> keyboard shortcut. In addition, Markdown cells can be edited by typically double-clicking the cell to enter edit mode.</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="Getting-Started">Getting Started<a class="anchor-link" href="#Getting-Started">&#182;</a></h2><p>In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a <em>good fit</em> could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.</p>
<p>The dataset for this project originates from the <a href="https://archive.ics.uci.edu/ml/datasets/Housing">UCI Machine Learning Repository</a>. The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset:</p>
<ul>
<li>16 data points have an <code>'MEDV'</code> value of 50.0. These data points likely contain <strong>missing or censored values</strong> and have been removed.</li>
<li>1 data point has an <code>'RM'</code> value of 8.78. This data point can be considered an <strong>outlier</strong> and has been removed.</li>
<li>The features <code>'RM'</code>, <code>'LSTAT'</code>, <code>'PTRATIO'</code>, and <code>'MEDV'</code> are essential. The remaining <strong>non-relevant features</strong> have been excluded.</li>
<li>The feature <code>'MEDV'</code> has been <strong>multiplicatively scaled</strong> to account for 35 years of market inflation.</li>
</ul>
<p>Run the code cell below to load the Boston housing dataset, along with a few of the necessary Python libraries required for this project. You will know the dataset loaded successfully if the size of the dataset is reported.</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"># Import libraries necessary for this project</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">sklearn.cross_validation</span> <span class="kn">import</span> <span class="n">ShuffleSplit</span>

<span class="c1"># Import supplementary visualizations code 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"># Pretty display for notebooks</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="c1"># Load the Boston housing dataset</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="s1">&#39;housing.csv&#39;</span><span class="p">)</span>
<span class="n">prices</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s1">&#39;MEDV&#39;</span><span class="p">]</span>
<span class="n">features</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;MEDV&#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"># Success</span>
<span class="k">print</span> <span class="s2">&quot;Boston housing dataset has {} data points with {} variables each.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">*</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
</pre></div>

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

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


<div class="output_area"><div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>Boston housing dataset has 489 data points with 4 variables each.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Data-Exploration">Data Exploration<a class="anchor-link" href="#Data-Exploration">&#182;</a></h2><p>In this first section of this project, you will make a cursory investigation about the Boston housing data and provide your observations. Familiarizing yourself with the data through an explorative process is a fundamental practice to help you better understand and justify your results.</p>
<p>Since the main goal of this project is to construct a working model which has the capability of predicting the value of houses, we will need to separate the dataset into <strong>features</strong> and the <strong>target variable</strong>. The <strong>features</strong>, <code>'RM'</code>, <code>'LSTAT'</code>, and <code>'PTRATIO'</code>, give us quantitative information about each data point. The <strong>target variable</strong>, <code>'MEDV'</code>, will be the variable we seek to predict. These are stored in <code>features</code> and <code>prices</code>, respectively.</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="Implementation:-Calculate-Statistics">Implementation: Calculate Statistics<a class="anchor-link" href="#Implementation:-Calculate-Statistics">&#182;</a></h3><p>For your very first coding implementation, you will calculate descriptive statistics about the Boston housing prices. Since <code>numpy</code> has already been imported for you, use this library to perform the necessary calculations. These statistics will be extremely important later on to analyze various prediction results from the constructed model.</p>
<p>In the code cell below, you will need to implement the following:</p>
<ul>
<li>Calculate the minimum, maximum, mean, median, and standard deviation of <code>'MEDV'</code>, which is stored in <code>prices</code>.<ul>
<li>Store each calculation in their respective variable.</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;[2]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># TODO: Minimum price of the data</span>
<span class="n">minimum_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Maximum price of the data</span>
<span class="n">maximum_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Mean price of the data</span>
<span class="n">mean_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Median price of the data</span>
<span class="n">median_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">median</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># TODO: Standard deviation of prices of the data</span>
<span class="n">std_price</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">prices</span><span class="p">)</span>

<span class="c1"># Show the calculated statistics</span>
<span class="k">print</span> <span class="s2">&quot;Statistics for Boston housing dataset:</span><span class="se">\n</span><span class="s2">&quot;</span>
<span class="k">print</span> <span class="s2">&quot;Minimum price: ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">minimum_price</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Maximum price: ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">maximum_price</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Mean price: ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mean_price</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Median price ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">median_price</span><span class="p">)</span>
<span class="k">print</span> <span class="s2">&quot;Standard deviation of prices: ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">std_price</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>Statistics for Boston housing dataset:

Minimum price: $105,000.00
Maximum price: $1,024,800.00
Mean price: $454,342.94
Median price $438,900.00
Standard deviation of prices: $165,171.13
</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="Question-1---Feature-Observation">Question 1 - Feature Observation<a class="anchor-link" href="#Question-1---Feature-Observation">&#182;</a></h3><p>As a reminder, we are using three features from the Boston housing dataset: <code>'RM'</code>, <code>'LSTAT'</code>, and <code>'PTRATIO'</code>. For each data point (neighborhood):</p>
<ul>
<li><code>'RM'</code> is the average number of rooms among homes in the neighborhood.</li>
<li><code>'LSTAT'</code> is the percentage of homeowners in the neighborhood considered "lower class" (working poor).</li>
<li><code>'PTRATIO'</code> is the ratio of students to teachers in primary and secondary schools in the neighborhood.</li>
</ul>
<p><strong> Using your intuition, for each of the three features above, do you think that an increase in the value of that feature would lead to an </strong>increase<strong> in the value of <code>'MEDV'</code> or a </strong>decrease<strong> in the value of <code>'MEDV'</code>? Justify your answer for each.</strong></p>
<p><strong>Hint:</strong> This problem can phrased using examples like below.</p>
<ul>
<li>Would you expect a home that has an <code>'RM'</code> value(number of rooms) of 6 be worth more or less than a home that has an <code>'RM'</code> value of 7?</li>
<li>Would you expect a neighborhood that has an <code>'LSTAT'</code> value(percent of lower class workers) of 15 have home prices be worth more or less than a neighborhood that has an <code>'LSTAT'</code> value of 20?</li>
<li>Would you expect a neighborhood that has an <code>'PTRATIO'</code> value(ratio of students to teachers) of 10 have home prices be worth more or less than a neighborhood that has an <code>'PTRATIO'</code> value of 15?</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>Answer: </strong></p>
<blockquote><p><b> For the feature RM, as RM increases the average price is expected to increase. </b><br>
 This is as the number of rooms increase other cost like construction etc also increase.<br>
<b>For the feature LSTAT, as LSTAT increases average price is expected to decrease. </b> 
 If more owners in the area are lower class then the cost of house will be lower as they were afford to buy the houses.<br>
<b>For the feature PTRATIO, as PTRATIO increases the average price is expected to decrease.</b><br>
 A higher student to teacher ratio means lack of teacher in the school, this implies an under funded school system which is a characteristict of a poor neighbourhood.<br>
  <b>Price is the value of MEDEV</b></p>
</blockquote>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="Developing-a-Model">Developing a Model<a class="anchor-link" href="#Developing-a-Model">&#182;</a></h2><p>In this second section of the project, you will develop the tools and techniques necessary for a model to make a prediction. Being able to make accurate evaluations of each model's performance through the use of these tools and techniques helps to greatly reinforce the confidence in your predictions.</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="Implementation:-Define-a-Performance-Metric">Implementation: Define a Performance Metric<a class="anchor-link" href="#Implementation:-Define-a-Performance-Metric">&#182;</a></h3><p>It is difficult to measure the quality of a given model without quantifying its performance over training and testing. This is typically done using some type of performance metric, whether it is through calculating some type of error, the goodness of fit, or some other useful measurement. For this project, you will be calculating the <a href="http://stattrek.com/statistics/dictionary.aspx?definition=coefficient_of_determination"><em>coefficient of determination</em></a>, R<sup>2</sup>, to quantify your model's performance. The coefficient of determination for a model is a useful statistic in regression analysis, as it often describes how "good" that model is at making predictions.</p>
<p>The values for R<sup>2</sup> range from 0 to 1, which captures the percentage of squared correlation between the predicted and actual values of the <strong>target variable</strong>. A model with an R<sup>2</sup> of 0 is no better than a model that always predicts the <em>mean</em> of the target variable, whereas a model with an R<sup>2</sup> of 1 perfectly predicts the target variable. Any value between 0 and 1 indicates what percentage of the target variable, using this model, can be explained by the <strong>features</strong>. <em>A model can be given a negative R<sup>2</sup> as well, which indicates that the model is <strong>arbitrarily worse</strong> than one that always predicts the mean of the target variable.</em></p>
<p>For the <code>performance_metric</code> function in the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <code>r2_score</code> from <code>sklearn.metrics</code> to perform a performance calculation between <code>y_true</code> and <code>y_predict</code>.</li>
<li>Assign the performance score to the <code>score</code> variable.</li>
</ul>

</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: Import &#39;r2_score&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">r2_score</span>
<span class="k">def</span> <span class="nf">performance_metric</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_predict</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Calculates and returns the performance score between </span>
<span class="sd">        true and predicted values based on the metric chosen. &quot;&quot;&quot;</span>
    
    <span class="c1"># TODO: Calculate the performance score between &#39;y_true&#39; and &#39;y_predict&#39;</span>
    <span class="n">score</span> <span class="o">=</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_true</span><span class="p">,</span> <span class="n">y_predict</span><span class="p">)</span>  
    
    <span class="c1"># Return the score</span>
    <span class="k">return</span> <span class="n">score</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Question-2---Goodness-of-Fit">Question 2 - Goodness of Fit<a class="anchor-link" href="#Question-2---Goodness-of-Fit">&#182;</a></h3><p>Assume that a dataset contains five data points and a model made the following predictions for the target variable:</p>
<table>
<thead><tr>
<th style="text-align:center">True Value</th>
<th style="text-align:center">Prediction</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">3.0</td>
<td style="text-align:center">2.5</td>
</tr>
<tr>
<td style="text-align:center">-0.5</td>
<td style="text-align:center">0.0</td>
</tr>
<tr>
<td style="text-align:center">2.0</td>
<td style="text-align:center">2.1</td>
</tr>
<tr>
<td style="text-align:center">7.0</td>
<td style="text-align:center">7.8</td>
</tr>
<tr>
<td style="text-align:center">4.2</td>
<td style="text-align:center">5.3</td>
</tr>
</tbody>
</table>
<p>Run the code cell below to use the <code>performance_metric</code> function and calculate this model's coefficient of determination.</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"># Calculate the performance of this model</span>
<span class="n">score</span> <span class="o">=</span> <span class="n">performance_metric</span><span class="p">([</span><span class="mi">3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mf">4.2</span><span class="p">],</span> <span class="p">[</span><span class="mf">2.5</span><span class="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">2.1</span><span class="p">,</span> <span class="mf">7.8</span><span class="p">,</span> <span class="mf">5.3</span><span class="p">])</span>
<span class="k">print</span> <span class="s2">&quot;Model has a coefficient of determination, R^2, of {:.3f}.&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">score</span><span class="p">)</span>
</pre></div>

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

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


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

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<ul>
<li>Would you consider this model to have successfully captured the variation of the target variable? </li>
<li>Why or why not?</li>
</ul>
<p><strong> Hint: </strong>  The R2 score is the proportion of the variance in the dependent variable that is predictable from the independent variable. In other words:</p>
<ul>
<li>R2 score of 0 means that the dependent variable cannot be predicted from the independent variable.</li>
<li>R2 score of 1 means the dependent variable can be predicted from the independent variable.</li>
<li>R2 score between 0 and 1 indicates the extent to which the dependent variable is predictable. </li>
<li>R2 score of 0.40 means that 40 percent of the variance in Y is predictable from X.</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>Answer:</strong>
Yes, The model successfully captured the variation of the target variable.
The value of $r^2$ is calculated as 0.923 that is 92.3 % of the variability in the dependent variable is explained by the explanatory variable (independent variable)<br>
Now if the value of $r^2$ is good or bad one can't be sure as it will depend on the application of the model. For example, any field that attempts to predict human behaviour and psychology, typically has R-squared values lower than 50%. Humans are simply harder to predict than, say, physical processes.
Resource:<br>
<a href="https://www.coursera.org/learn/linear-regression-model/lecture/lMej8/r-squared">https://www.coursera.org/learn/linear-regression-model/lecture/lMej8/r-squared</a><br>
<a href="http://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis-how-do-i-interpret-r-squared-and-assess-the-goodness-of-fit">http://blog.minitab.com/blog/adventures-in-statistics-2/regression-analysis-how-do-i-interpret-r-squared-and-assess-the-goodness-of-fit</a></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="Implementation:-Shuffle-and-Split-Data">Implementation: Shuffle and Split Data<a class="anchor-link" href="#Implementation:-Shuffle-and-Split-Data">&#182;</a></h3><p>Your next implementation requires that you take the Boston housing dataset and split the data into training and testing subsets. Typically, the data is also shuffled into a random order when creating the training and testing subsets to remove any bias in the ordering of the dataset.</p>
<p>For the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <code>train_test_split</code> from <code>sklearn.cross_validation</code> to shuffle and split the <code>features</code> and <code>prices</code> data into training and testing sets.<ul>
<li>Split the data into 80% training and 20% testing.</li>
<li>Set the <code>random_state</code> for <code>train_test_split</code> to a value of your choice. This ensures results are consistent.</li>
</ul>
</li>
<li>Assign the train and testing splits to <code>X_train</code>, <code>X_test</code>, <code>y_train</code>, and <code>y_test</code>.</li>
</ul>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># TODO: Import &#39;train_test_split&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.cross_validation</span> <span class="kn">import</span> <span class="n">train_test_split</span>
<span class="c1"># TODO: Shuffle and split the data into training and testing subsets</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">prices</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span><span class="mi">42</span><span class="p">)</span>

<span class="c1"># Success</span>
<span class="k">print</span> <span class="s2">&quot;Training and testing split was successful.&quot;</span>
</pre></div>

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

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


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

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Question-3---Training-and-Testing">Question 3 - Training and Testing<a class="anchor-link" href="#Question-3---Training-and-Testing">&#182;</a></h3><ul>
<li>What is the benefit to splitting a dataset into some ratio of training and testing subsets for a learning algorithm?</li>
</ul>
<p><strong>Hint:</strong> Think about how overfitting or underfitting is contingent upon how splits on data is done.</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>Answer: </strong></p>
<blockquote><p>When we develop predictive models we must have a way to assess their accuracy, reliability and credibility.<br>
Although we cannot gain access to the future data before it occurs, we can reserve some of our currently available data and treat it as if were data from the future. This helps us to assess the model.<br>
And validating the model on a different set than the training set allows us to make sure that the model generaliazes the dependent variable and is not over fitting or underfitting the data.<br>
Resource: <a href="https://info.salford-systems.com/blog/bid/337783/Why-Data-Scientists-Split-Data-into-Train-and-Test">https://info.salford-systems.com/blog/bid/337783/Why-Data-Scientists-Split-Data-into-Train-and-Test</a></p>
</blockquote>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="Analyzing-Model-Performance">Analyzing Model Performance<a class="anchor-link" href="#Analyzing-Model-Performance">&#182;</a></h2><p>In this third section of the project, you'll take a look at several models' learning and testing performances on various subsets of training data. Additionally, you'll investigate one particular algorithm with an increasing <code>'max_depth'</code> parameter on the full training set to observe how model complexity affects performance. Graphing your model's performance based on varying criteria can be beneficial in the analysis process, such as visualizing behavior that may not have been apparent from the results alone.</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="Learning-Curves">Learning Curves<a class="anchor-link" href="#Learning-Curves">&#182;</a></h3><p>The following code cell produces four graphs for a decision tree model with different maximum depths. Each graph visualizes the learning curves of the model for both training and testing as the size of the training set is increased. Note that the shaded region of a learning curve denotes the uncertainty of that curve (measured as the standard deviation). The model is scored on both the training and testing sets using R<sup>2</sup>, the coefficient of determination.</p>
<p>Run the code cell below and use these graphs to answer the following question.</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"># Produce learning curves for varying training set sizes and maximum depths</span>
<span class="n">vs</span><span class="o">.</span><span class="n">ModelLearning</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">prices</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,iVBORw0KGgoAAAANSUhEUgAABKcAAALWCAYAAACTLvAjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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="Question-4---Learning-the-Data">Question 4 - Learning the Data<a class="anchor-link" href="#Question-4---Learning-the-Data">&#182;</a></h3><ul>
<li>Choose one of the graphs above and state the maximum depth for the model. </li>
<li>What happens to the score of the training curve as more training points are added? What about the testing curve? </li>
<li>Would having more training points benefit the model? </li>
</ul>
<p><strong>Hint:</strong> Are the learning curves converging to particular scores? Generally speaking, the more data you have, the better. But if your training and testing curves are converging with a score above your benchmark threshold, would this be necessary?
Think about the pros and cons of adding more training points based on if the training and testing curves are converging.</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>Answer: </strong><br>
<strong>For the graph with max depth 1</strong> as we increase the training data the training score increases but at the same time the testing score decreases rapidly and the scores start to converge near 0.4 this indicates that the model is Underfitting the data and is too simple.<br>
Generally speaking more the training points the better the model generalizes, but as we can observe the return for increasing the training i.e increase in acuracy decreases as we increase the size of the testing set.<br>
If the training and testing curves are converging with a score above your benchmark threshold. taking more data points for training will not be necessary but would be advisable as it makes the model more general.</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="Complexity-Curves">Complexity Curves<a class="anchor-link" href="#Complexity-Curves">&#182;</a></h3><p>The following code cell produces a graph for a decision tree model that has been trained and validated on the training data using different maximum depths. The graph produces two complexity curves — one for training and one for validation. Similar to the <strong>learning curves</strong>, the shaded regions of both the complexity curves denote the uncertainty in those curves, and the model is scored on both the training and validation sets using the <code>performance_metric</code> function.</p>
<p><strong> Run the code cell below and use this graph to answer the following two questions Q5 and Q6. </strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">ModelComplexity</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
</pre></div>

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

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


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


<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmsAAAHUCAYAAABlOG/ZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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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="Question-5---Bias-Variance-Tradeoff">Question 5 - Bias-Variance Tradeoff<a class="anchor-link" href="#Question-5---Bias-Variance-Tradeoff">&#182;</a></h3><ul>
<li>When the model is trained with a maximum depth of 1, does the model suffer from high bias or from high variance? </li>
<li>How about when the model is trained with a maximum depth of 10? What visual cues in the graph justify your conclusions?</li>
</ul>
<p><strong>Hint:</strong> High bias is a sign of underfitting(model is not complex enough to pick up the nuances in the data) and high variance is a sign of overfitting(model is by-hearting the data and cannot generalize well). Think about which model(depth 1 or 10) aligns with which part of the tradeoff.</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>Answer: </strong><br>
Max Depth of 1 : The model is underfitting i.e High Bias</p>
<blockquote><p>This is so because for the model with max depth 1 as we increase the training data the training score increases but at the same time the testing score decreases rapidly and the scores start to converge near 0.4 this indicates that the model is Underfitting the data and is too simple.</p>
</blockquote>
<p>Max Depth 10 : The model is overfitting i.e High variance</p>
<blockquote><p>For the model with max depth 10 as we increase the training data the training score increases but at the same time the testing score decreases slightly and the scores do not converge this indicates that the model is overfitting the data and has memorized the training set.</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">
<h3 id="Question-6---Best-Guess-Optimal-Model">Question 6 - Best-Guess Optimal Model<a class="anchor-link" href="#Question-6---Best-Guess-Optimal-Model">&#182;</a></h3><ul>
<li>Which maximum depth do you think results in a model that best generalizes to unseen data? </li>
<li>What intuition lead you to this answer?</li>
</ul>
<p><strong> Hint: </strong> Look at the graph above Question 5 and see where the validation scores lie for the various depths that have been assigned to the model. Does it get better with increased depth? At what point do we get our best validation score without overcomplicating our model? And remember, Occams Razor states "Among competing hypotheses, the one with the fewest assumptions should be selected."</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>Answer: </strong><br>
According to me Max Depth 3 generalizes the data well.</p>
<blockquote><p>This is so because for the model with max depth 3 as we increase the training data the training score increases but at the same time the testing score decreases within reason and the scores start to converge near 0.8 this indicates that the model is neither over nor under fitting as has a $r^2$ value near 0.8</p>
</blockquote>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<hr>
<h2 id="Evaluating-Model-Performance">Evaluating Model Performance<a class="anchor-link" href="#Evaluating-Model-Performance">&#182;</a></h2><p>In this final section of the project, you will construct a model and make a prediction on the client's feature set using an optimized model from <code>fit_model</code>.</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="Question-7---Grid-Search">Question 7 - Grid Search<a class="anchor-link" href="#Question-7---Grid-Search">&#182;</a></h3><ul>
<li>What is the grid search technique?</li>
<li>How it can be applied to optimize a learning algorithm?</li>
</ul>
<p><strong> Hint: </strong> When explaining the Grid Search technique, be sure to touch upon why it is used,  what the 'grid' entails and what the end goal of this method is. To solidify your answer, you can also give an example of a parameter in a model that can be optimized using this approach.</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>Answer: </strong><br>
<b>The Need:</b></p>
<blockquote><ol>
    <li>
    A machine learning model may have some initial constant parameters also known as hyperparameters.
    </li>
    <li>
    These help tune the behaviour of a model for the given problem statement. 
    </li>
    <li>
    Depending upon the value of these hyperparameters the parameters (the coefficients found by the machine learning algorithm itself) change and the training time to reach a certain accuracy may also change.
    </li>
 </ol>
</blockquote>
<p><b>The Goal:</b></p>
<blockquote><p>The goal of hyperparameter optimization is to find the set of values of hyperparameters that minimize this validation error function.</p>
</blockquote>
<p><b> Why Grid serach? </b></p>
<blockquote><p>To do so for each possible value and combination of hyperparameter is not feesible as the validation error function is very expensive to evaluate, for each value of hyperparameters, we need to solve the optimization problem. Further, this function might be non-convex, non-smooth, etc. so that it is impractical to find the global minimum of this function in a principled way.
To Solve this we use Grid Search technique</p>
</blockquote>
<p><b>What is Grid Search? </b></p>
<blockquote><p>Grid search : pick a bunch of values of α -- (α1,α2,…), pick a bunch of values of β -- (β1,β2,…) here α and β are the hyperparameters<br>
and for each pair of values, evaluate the validation error function. Then pick the pair that gives the minimum value of the validation error function.<br>
The pairs (α1,β1),(α1,β2),…,(α2,β1),(α2,β2),…<br>
when plotted in space look like a grid, hence the name.</p>
</blockquote>
<p>Resources:<br>
<a href="https://www.quora.com/Machine-Learning-How-does-grid-search-work">https://www.quora.com/Machine-Learning-How-does-grid-search-work</a><br>
<a href="https://machinelearningmastery.com/how-to-tune-algorithm-parameters-with-scikit-learn/">https://machinelearningmastery.com/how-to-tune-algorithm-parameters-with-scikit-learn/</a></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="Question-8---Cross-Validation">Question 8 - Cross-Validation<a class="anchor-link" href="#Question-8---Cross-Validation">&#182;</a></h3><ul>
<li><p>What is the k-fold cross-validation training technique?</p>
</li>
<li><p>What benefit does this technique provide for grid search when optimizing a model?</p>
</li>
</ul>
<p><strong>Hint:</strong> When explaining the k-fold cross validation technique, be sure to touch upon what 'k' is, how the dataset is split into different parts for training and testing and the number of times it is run based on the 'k' value.</p>
<p>When thinking about how k-fold cross validation helps grid search, think about the main drawbacks of grid search which are hinged upon <strong>using a particular subset of data for training or testing</strong> and how k-fold cv could help alleviate that. You can refer to the <a href="http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation">docs</a> for your answer.</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>Answer:</strong>
<b> The k-fold cross-validation training technique </b></p>
<blockquote><p>k-fold cross-validation training technique is when we do not throw away the training data.<br>
To do so the data is divided into k buckets. K different models are trained with kth bucket as the 
testing data.<br>
Finally, the average of the k models is taken to get one single model.<br>
As mentioned this technique utilizes all the data as training and testing without violating the 
rule that same data was not used for both training and testing. This provides advantages over Train/Test split model
in which a fraction say 'f' of the data is used as training and '1-f' is used for testing. Increasing f gives better learning result and decreasing improves the validation we want to maximize both, so we use k-fold CV.</p>
</blockquote>
<p><strong> K-fold CV for grid search when optimizing a model </strong></p>
<blockquote><p>As mentioned in Q7 grid search is a technique used for hyperparameter optimization. Using the K-fold CV with grid search, we can use the average testing accuracy as a benchmark to find the best hyperparameters for the algorithm.
By using k-fold CV we make sure that the hyperparameters are good for generalizing the data and do not result in a high variance situation.</p>
</blockquote>
<p><strong> Drawbacks of k-fold CV</strong></p>
<blockquote><p>K fold cross validation trains k different models which makes is computationally expensive</p>
</blockquote>
<p><strong> Edit </strong>
<strong> Division of data </strong></p>
<blockquote><p>Learning and testing the model on same data is a mistake as it will result in overfitting.<br>
To avoid this, we use test/train split that is split the available data into training and testing sets and do the training on the training set and the testing on the testing set.<br>
While evaluating hyperparameters using just Test and train split of the data there is still a risk of overfitting on the test set as the parameters can be tweaked until the estimator performs optimally.<br>
To avoid this we divide the data further into a test,train and a cross validation set and training proceeds on the training set, after which evaluation is done on the validation set, and when the experiment seems to be successful, final evaluation can be done on the test set.<br>
The problem now is that there might not be enough data in any one of the set or all the set to make any conclusive decisions.
CV is used in this scenario and the data is still spilt into test and train sets but the CV set is not required.<br>
The test sets data is divided into k buckets.</p>
</blockquote>
<p><strong>Resources:</strong></p>
<blockquote><ul>
<li><a href="https://www.youtube.com/watch?v=TIgfjmp-4BA">https://www.youtube.com/watch?v=TIgfjmp-4BA</a>  </li>
<li><a href="https://www.youtube.com/watch?v=Gol_qOgRqfA">https://www.youtube.com/watch?v=Gol_qOgRqfA</a></li>
<li><a href="http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation">http://scikit-learn.org/stable/modules/cross_validation.html#cross-validation</a></li>
</ul>
</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">
<h3 id="Implementation:-Fitting-a-Model">Implementation: Fitting a Model<a class="anchor-link" href="#Implementation:-Fitting-a-Model">&#182;</a></h3><p>Your final implementation requires that you bring everything together and train a model using the <strong>decision tree algorithm</strong>. To ensure that you are producing an optimized model, you will train the model using the grid search technique to optimize the <code>'max_depth'</code> parameter for the decision tree. The <code>'max_depth'</code> parameter can be thought of as how many questions the decision tree algorithm is allowed to ask about the data before making a prediction. Decision trees are part of a class of algorithms called <em>supervised learning algorithms</em>.</p>
<p>In addition, you will find your implementation is using <code>ShuffleSplit()</code> for an alternative form of cross-validation (see the <code>'cv_sets'</code> variable). While it is not the K-Fold cross-validation technique you describe in <strong>Question 8</strong>, this type of cross-validation technique is just as useful!. The <code>ShuffleSplit()</code> implementation below will create 10 (<code>'n_splits'</code>) shuffled sets, and for each shuffle, 20% (<code>'test_size'</code>) of the data will be used as the <em>validation set</em>. While you're working on your implementation, think about the contrasts and similarities it has to the K-fold cross-validation technique.</p>
<p>Please note that ShuffleSplit has different parameters in scikit-learn versions 0.17 and 0.18.
For the <code>fit_model</code> function in the code cell below, you will need to implement the following:</p>
<ul>
<li>Use <a href="http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html"><code>DecisionTreeRegressor</code></a> from <code>sklearn.tree</code> to create a decision tree regressor object.<ul>
<li>Assign this object to the <code>'regressor'</code> variable.</li>
</ul>
</li>
<li>Create a dictionary for <code>'max_depth'</code> with the values from 1 to 10, and assign this to the <code>'params'</code> variable.</li>
<li>Use <a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html"><code>make_scorer</code></a> from <code>sklearn.metrics</code> to create a scoring function object.<ul>
<li>Pass the <code>performance_metric</code> function as a parameter to the object.</li>
<li>Assign this scoring function to the <code>'scoring_fnc'</code> variable.</li>
</ul>
</li>
<li>Use <a href="http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html"><code>GridSearchCV</code></a> from <code>sklearn.grid_search</code> to create a grid search object.<ul>
<li>Pass the variables <code>'regressor'</code>, <code>'params'</code>, <code>'scoring_fnc'</code>, and <code>'cv_sets'</code> as parameters to the object. </li>
<li>Assign the <code>GridSearchCV</code> object to the <code>'grid'</code> variable.</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;[8]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># TODO: Import &#39;make_scorer&#39;, &#39;DecisionTreeRegressor&#39;, and &#39;GridSearchCV&#39;</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="kn">import</span> <span class="n">DecisionTreeRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.grid_search</span> <span class="kn">import</span> <span class="n">GridSearchCV</span>
<span class="c1">#from sklearn.model_selection import GridSearchCV</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="k">def</span> <span class="nf">fit_model</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot; Performs grid search over the &#39;max_depth&#39; parameter for a </span>
<span class="sd">        decision tree regressor trained on the input data [X, y]. &quot;&quot;&quot;</span>
    
    <span class="c1"># Create cross-validation sets from the training data</span>
    <span class="c1"># Splits the data in testing and training sets randomly 10 times </span>
    <span class="n">cv_sets</span> <span class="o">=</span> <span class="n">ShuffleSplit</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">n_iter</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> <span class="n">test_size</span> <span class="o">=</span> <span class="mf">0.20</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: Create a decision tree regressor object</span>
    <span class="n">regressor</span> <span class="o">=</span> <span class="n">DecisionTreeRegressor</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>

    <span class="c1"># TODO: Create a dictionary for the parameter &#39;max_depth&#39; with a range from 1 to 10</span>
    <span class="n">params</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">11</span><span class="p">))</span>

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

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

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

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

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

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Making-Predictions">Making Predictions<a class="anchor-link" href="#Making-Predictions">&#182;</a></h3><p>Once a model has been trained on a given set of data, it can now be used to make predictions on new sets of input data. In the case of a <em>decision tree regressor</em>, the model has learned <em>what the best questions to ask about the input data are</em>, and can respond with a prediction for the <strong>target variable</strong>. You can use these predictions to gain information about data where the value of the target variable is unknown — such as data the model was not trained on.</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="Question-9---Optimal-Model">Question 9 - Optimal Model<a class="anchor-link" href="#Question-9---Optimal-Model">&#182;</a></h3><ul>
<li>What maximum depth does the optimal model have? How does this result compare to your guess in <strong>Question 6</strong>?  </li>
</ul>
<p>Run the code block below to fit the decision tree regressor to the training data and produce an optimal model.</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"># Fit the training data to the model using grid search</span>
<span class="n">reg</span> <span class="o">=</span> <span class="n">fit_model</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>

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

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

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


<div class="output_area"><div class="prompt"></div>
<div class="output_subarea output_stream output_stdout output_text">
<pre>Parameter &#39;max_depth&#39; is 4 for the optimal model.
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong> Hint: </strong> The answer comes from the output of the code snipped above.</p>
<p><strong>Answer: </strong><br>
The max_depth comes out as 4 for the optimal model.<br>
The max depth is one more than the guess in question 6.<br>
The maxdepth of both 3 and 4 have similar characteristics as the testing score starts to flatten out at max_depth = 3.<br>
But the model with max_depth = 4 has a higher training score and must not have deteriorated the testing score resulting in a better model.</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="Question-10---Predicting-Selling-Prices">Question 10 - Predicting Selling Prices<a class="anchor-link" href="#Question-10---Predicting-Selling-Prices">&#182;</a></h3><p>Imagine that you were a real estate agent in the Boston area looking to use this model to help price homes owned by your clients that they wish to sell. You have collected the following information from three of your clients:</p>
<table>
<thead><tr>
<th style="text-align:center">Feature</th>
<th style="text-align:center">Client 1</th>
<th style="text-align:center">Client 2</th>
<th style="text-align:center">Client 3</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:center">Total number of rooms in home</td>
<td style="text-align:center">5 rooms</td>
<td style="text-align:center">4 rooms</td>
<td style="text-align:center">8 rooms</td>
</tr>
<tr>
<td style="text-align:center">Neighborhood poverty level (as %)</td>
<td style="text-align:center">17%</td>
<td style="text-align:center">32%</td>
<td style="text-align:center">3%</td>
</tr>
<tr>
<td style="text-align:center">Student-teacher ratio of nearby schools</td>
<td style="text-align:center">15-to-1</td>
<td style="text-align:center">22-to-1</td>
<td style="text-align:center">12-to-1</td>
</tr>
</tbody>
</table>
<ul>
<li>What price would you recommend each client sell his/her home at? </li>
<li>Do these prices seem reasonable given the values for the respective features? </li>
</ul>
<p><strong>Hint:</strong> Use the statistics you calculated in the <strong>Data Exploration</strong> section to help justify your response.  Of the three clients, client 3 has has the biggest house, in the best public school neighborhood with the lowest poverty level; while client 2 has the smallest house, in a neighborhood with a relatively high poverty rate and not the best public schools.</p>
<p>Run the code block below to have your optimized model make predictions for each client's home.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[10]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="c1"># Produce a matrix for client data</span>
<span class="n">client_data</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">17</span><span class="p">,</span> <span class="mi">15</span><span class="p">],</span> <span class="c1"># Client 1</span>
               <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">22</span><span class="p">],</span> <span class="c1"># Client 2</span>
               <span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">12</span><span class="p">]]</span>  <span class="c1"># Client 3</span>

<span class="c1"># Show predictions</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">price</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">reg</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">client_data</span><span class="p">)):</span>
    <span class="k">print</span> <span class="s2">&quot;Predicted selling price for Client {}&#39;s home: ${:,.2f}&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">price</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>Predicted selling price for Client 1&#39;s home: $403,025.00
Predicted selling price for Client 2&#39;s home: $237,478.72
Predicted selling price for Client 3&#39;s home: $931,636.36
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>Answer: </strong><br>
<strong> Predicted Prices: </strong></p>
<ul>
<li><p>Client 1's home: $403,025.00</p>
</li>
<li><p>Client 2's home: $237,478.72</p>
</li>
<li><p>Client 3's home: $931,636.36</p>
</li>
</ul>
<p><strong>Statistics for Boston housing dataset:</strong></p>
<ul>
<li><p>Minimum price: $105,000.00</p>
</li>
<li><p>Maximum price: $1,024,800.00</p>
</li>
<li><p>Mean price: $454,342.94</p>
</li>
<li><p>Median price $438,900.00</p>
</li>
<li><p>Standard deviation of prices: $165,171.13</p>
</li>
</ul>
<p><strong> Justification </strong><br>
For client 1's home the price is close to mean price this is in line with the specification of the house 
it has 5 rooms and a decent student teacher ratio and decently low poverty level.<br>
For client 2's home the price is closer to the minimum price which is in line with the low number of rooms and poor student teacher ratio and high poverty ratio.<br>
For client 3's the price is very high nearing the maximum seen price which is expected as its a big house with a good school and low poverty level in the neighbourhood.</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="Sensitivity">Sensitivity<a class="anchor-link" href="#Sensitivity">&#182;</a></h3><p>An optimal model is not necessarily a robust model. Sometimes, a model is either too complex or too simple to sufficiently generalize to new data. Sometimes, a model could use a learning algorithm that is not appropriate for the structure of the data given. Other times, the data itself could be too noisy or contain too few samples to allow a model to adequately capture the target variable — i.e., the model is underfitted.</p>
<p><strong>Run the code cell below to run the <code>fit_model</code> function ten times with different training and testing sets to see how the prediction for a specific client changes with respect to the data it's trained on.</strong></p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span><span class="n">vs</span><span class="o">.</span><span class="n">PredictTrials</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">prices</span><span class="p">,</span> <span class="n">fit_model</span><span class="p">,</span> <span class="n">client_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_subarea output_stream output_stdout output_text">
<pre>Trial 1: $391,183.33
Trial 2: $424,935.00
Trial 3: $415,800.00
Trial 4: $420,622.22
Trial 5: $418,377.27
Trial 6: $411,931.58
Trial 7: $399,663.16
Trial 8: $407,232.00
Trial 9: $351,577.61
Trial 10: $413,700.00

Range in prices: $73,357.39
</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="Question-11---Applicability">Question 11 - Applicability<a class="anchor-link" href="#Question-11---Applicability">&#182;</a></h3><ul>
<li>In a few sentences, discuss whether the constructed model should or should not be used in a real-world setting.  </li>
</ul>
<p><strong>Hint:</strong> Take a look at the range in prices as calculated in the code snippet above. Some questions to answering:</p>
<ul>
<li>How relevant today is data that was collected from 1978? How important is inflation?</li>
<li>Are the features present in the data sufficient to describe a home? Do you think factors like quality of apppliances in the home, square feet of the plot area, presence of pool or not etc should factor in?</li>
<li>Is the model robust enough to make consistent predictions?</li>
<li>Would data collected in an urban city like Boston be applicable in a rural city?</li>
<li>Is it fair to judge the price of an individual home based on the characteristics of the entire neighborhood?</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>Answer: </strong><br>
<strong> The model as it is, is not suitable for real world application.</strong></p>
<ul>
<li>The model uses data from 1978 the value of the USD has changed a lot since. 100 USD in 1978 has the same purchasing power as 375.44 USD in 2017. This will result in huge discrepancies in the predicted price and the real price of the houses  </li>
<li><p>The current model uses only 3 features to estimate the selling price but in the real world there are a lot more factors affecting the value of a house.</p>
<blockquote><p>General factors like <strong>time rate</strong>and the area and <strong>quality and availability of numerous public services</strong>
in the area are all contributing factors to the price of all the homes in a neighbourhood. 
Besides the general factors thing like the <strong>age of the property</strong>, various <strong>amenities like pools</strong>
, and numerous appliances also affect the price of the property.<br>
Inclusion of <strong>more features will make the model more robust to make consistent predictions.</strong></p>
</blockquote>
</li>
<li><p>The model is not very robust as the range of the predictions (seen in sensitivity) is quite high.</p>
</li>
<li>No, the data from an urban city will not be applicable in Rural city the price tends to be a lot higher in urban places.</li>
<li>As Stated above even in the same neighbourhood the prices of houses can vary a lot based on various features like the size and presence of certain amenities and so on.</li>
</ul>
<p><strong> Refrences </strong></p>
<ul>
<li><a href="http://www.in2013dollars.com/1978-dollars-in-2017">http://www.in2013dollars.com/1978-dollars-in-2017</a></li>
<li><a href="https://www.researchgate.net/post/What_is_the_definition_of_the_robustness_of_a_machine_learning_algorithm">https://www.researchgate.net/post/What_is_the_definition_of_the_robustness_of_a_machine_learning_algorithm</a></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">
<blockquote><p><strong>Note</strong>: Once you have completed all of the code implementations and successfully answered each question above, you may finalize your work by exporting the iPython Notebook as an HTML document. You can do this by using the menu above and navigating to<br>
<strong>File -&gt; Download as -&gt; HTML (.html)</strong>. Include the finished document along with this notebook as your submission.</p>
</blockquote>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[&nbsp;]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython2"><pre><span></span> 
</pre></div>

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

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