youtube_adview_prediction.html

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<title>youtube_adview_prediction</title>

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html {
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body {
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article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
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audio,
canvas,
progress,
video {
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audio:not([controls]) {
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[hidden],
template {
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a {
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a:active,
a:hover {
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abbr[title] {
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b,
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dfn {
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h1 {
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sup {
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sub {
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img {
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svg:not(:root) {
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figure {
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hr {
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textarea {
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button,
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input[type="reset"],
input[type="submit"] {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
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}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
.modal-header {
  cursor: move;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: text-bottom;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
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<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">

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    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
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        },
        // 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 }
        }
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    <!-- 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="**===========YouTube-AdView-Prediction============**"><center>**===========YouTube AdView Prediction============**</center><a class="anchor-link" href="#**===========YouTube-AdView-Prediction============**">&#182;</a></h1>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
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<h1 id="1.-Introduction"><strong>1. Introduction</strong><a class="anchor-link" href="#1.-Introduction">&#182;</a></h1><h3 id="Objective:"><strong>Objective:</strong><a class="anchor-link" href="#Objective:">&#182;</a></h3><p>To build a machine learning model which will predict youtube adview count based on other youtube metrics.</p>
<h3 id="Data-Description:"><strong>Data Description:</strong><a class="anchor-link" href="#Data-Description:">&#182;</a></h3><ul>
<li>train.csv - the training set</li>
<li>test.csv - the test set</li>
<li>The file train.csv contains metrics and other details of about 15000 youtube videos. The metrics include number of views, likes, dislikes, comments and apart from that published date, duration and category are also included. The train.csv file also contains the metric number of adviews which is our target variable for prediction.</li>
</ul>
<h3 id="Table-of-Content:"><strong>Table of Content:</strong><a class="anchor-link" href="#Table-of-Content:">&#182;</a></h3><ol>
<li>Introduction</li>
<li>Install &amp; Import Libraries</li>
<li>Load Datasets</li>
<li>Exploratory Data Analysis</li>
<li>Feature Engineering</li>
<li>Model Development</li>
<li>Find Prediction</li>
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<h1 id="2.-Install-&amp;-Import-Libraries"><strong>2. Install &amp; Import Libraries</strong><a class="anchor-link" href="#2.-Install-&amp;-Import-Libraries">&#182;</a></h1><ul>
<li>Run the below cell, if you've not install these libraries before.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># # use to visualize missing value</span>
<span class="c1"># !pip install missingno</span>

<span class="c1"># # use for hyper parameter tuning</span>
<span class="c1"># !pip install optuna</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">missingno</span> <span class="k">as</span> <span class="nn">msno</span>
<span class="c1">## Display all the columns of the dataframe</span>
<span class="n">pd</span><span class="o">.</span><span class="n">pandas</span><span class="o">.</span><span class="n">set_option</span><span class="p">(</span><span class="s1">&#39;display.max_columns&#39;</span><span class="p">,</span><span class="kc">None</span><span class="p">)</span>

<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span>
<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">norm</span><span class="p">,</span> <span class="n">skew</span> <span class="c1"># for some statistics</span>
<span class="kn">import</span> <span class="nn">warnings</span> <span class="c1"># to ignore warning</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="kn">import</span> <span class="n">RobustScaler</span><span class="p">,</span> <span class="n">PowerTransformer</span><span class="p">,</span> <span class="n">LabelEncoder</span>
<span class="kn">from</span> <span class="nn">sklearn.pipeline</span> <span class="kn">import</span> <span class="n">make_pipeline</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>

<span class="kn">import</span> <span class="nn">optuna</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">KFold</span><span class="p">,</span> <span class="n">cross_val_score</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="kn">import</span> <span class="n">Ridge</span><span class="p">,</span> <span class="n">Lasso</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">StackingRegressor</span><span class="p">,</span> <span class="n">RandomForestRegressor</span><span class="p">,</span> <span class="n">GradientBoostingRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.svm</span> <span class="kn">import</span> <span class="n">SVR</span>
<span class="kn">import</span> <span class="nn">xgboost</span> <span class="k">as</span> <span class="nn">xgb</span>
<span class="kn">import</span> <span class="nn">lightgbm</span> <span class="k">as</span> <span class="nn">lgb</span>
<span class="kn">import</span> <span class="nn">joblib</span>

<span class="kn">import</span> <span class="nn">warnings</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s1">&#39;ignore&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Library Imported!!&quot;</span><span class="p">)</span>
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<pre>Library Imported!!
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<h1 id="3.-Load-Datasets"><strong>3. Load Datasets</strong><a class="anchor-link" href="#3.-Load-Datasets">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># load train and test dataset</span>
<span class="n">train_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;/content/train.csv&quot;</span><span class="p">)</span>
<span class="n">test_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;/content/test.csv&quot;</span><span class="p">)</span>
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<h1 id="4.-Exploratory-Data-Analysis"><strong>4. Exploratory Data Analysis</strong><a class="anchor-link" href="#4.-Exploratory-Data-Analysis">&#182;</a></h1><h3 id="4.1.-Train-Data-Exploration">4.1. Train Data Exploration<a class="anchor-link" href="#4.1.-Train-Data-Exploration">&#182;</a></h3><p>For both train and test dataset, We'll explore following things</p>
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<li>First 5 rows</li>
<li>Data shape</li>
<li>Data information</li>
<li>Data types</li>
<li>Null value</li>
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<h3 id="4.1.1.-First-5-records">4.1.1. First 5 records<a class="anchor-link" href="#4.1.1.-First-5-records">&#182;</a></h3>
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      <th></th>
      <th>vidid</th>
      <th>adview</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
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      <th>0</th>
      <td>VID_18655</td>
      <td>40</td>
      <td>1031602</td>
      <td>8523</td>
      <td>363</td>
      <td>1095</td>
      <td>2016-09-14</td>
      <td>PT7M37S</td>
      <td>F</td>
    </tr>
    <tr>
      <th>1</th>
      <td>VID_14135</td>
      <td>2</td>
      <td>1707</td>
      <td>56</td>
      <td>2</td>
      <td>6</td>
      <td>2016-10-01</td>
      <td>PT9M30S</td>
      <td>D</td>
    </tr>
    <tr>
      <th>2</th>
      <td>VID_2187</td>
      <td>1</td>
      <td>2023</td>
      <td>25</td>
      <td>0</td>
      <td>2</td>
      <td>2016-07-02</td>
      <td>PT2M16S</td>
      <td>C</td>
    </tr>
    <tr>
      <th>3</th>
      <td>VID_23096</td>
      <td>6</td>
      <td>620860</td>
      <td>777</td>
      <td>161</td>
      <td>153</td>
      <td>2016-07-27</td>
      <td>PT4M22S</td>
      <td>H</td>
    </tr>
    <tr>
      <th>4</th>
      <td>VID_10175</td>
      <td>1</td>
      <td>666</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>2016-06-29</td>
      <td>PT31S</td>
      <td>D</td>
    </tr>
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<h3 id="4.1.2.-Data-Shape---Train-Data">4.1.2. Data Shape - Train Data<a class="anchor-link" href="#4.1.2.-Data-Shape---Train-Data">&#182;</a></h3>
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<pre>(14999, 9)</pre>
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<h3 id="4.1.3.-Data-Information---Train-Data">4.1.3. Data Information - Train Data<a class="anchor-link" href="#4.1.3.-Data-Information---Train-Data">&#182;</a></h3>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 14999 entries, 0 to 14998
Data columns (total 9 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   vidid      14999 non-null  object
 1   adview     14999 non-null  int64 
 2   views      14999 non-null  object
 3   likes      14999 non-null  object
 4   dislikes   14999 non-null  object
 5   comment    14999 non-null  object
 6   published  14999 non-null  object
 7   duration   14999 non-null  object
 8   category   14999 non-null  object
dtypes: int64(1), object(8)
memory usage: 1.0+ MB
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<h3 id="4.1.4.-Statistical-analysis---Train-Data">4.1.4. Statistical analysis - Train Data<a class="anchor-link" href="#4.1.4.-Statistical-analysis---Train-Data">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_df</span><span class="o">.</span><span class="n">describe</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="s1">&#39;all&#39;</span><span class="p">)</span>
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    <tr style="text-align: right;">
      <th></th>
      <th>vidid</th>
      <th>adview</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
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      <th>count</th>
      <td>14999</td>
      <td>1.499900e+04</td>
      <td>14999</td>
      <td>14999</td>
      <td>14999</td>
      <td>14999</td>
      <td>14999</td>
      <td>14999</td>
      <td>14999</td>
    </tr>
    <tr>
      <th>unique</th>
      <td>14999</td>
      <td>NaN</td>
      <td>14588</td>
      <td>4789</td>
      <td>1546</td>
      <td>2007</td>
      <td>2386</td>
      <td>3146</td>
      <td>8</td>
    </tr>
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      <th>top</th>
      <td>VID_12352</td>
      <td>NaN</td>
      <td>238</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>2016-08-26</td>
      <td>PT31S</td>
      <td>D</td>
    </tr>
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      <th>freq</th>
      <td>1</td>
      <td>NaN</td>
      <td>4</td>
      <td>174</td>
      <td>1091</td>
      <td>1290</td>
      <td>42</td>
      <td>147</td>
      <td>7558</td>
    </tr>
    <tr>
      <th>mean</th>
      <td>NaN</td>
      <td>2.107791e+03</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>std</th>
      <td>NaN</td>
      <td>5.237711e+04</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>min</th>
      <td>NaN</td>
      <td>1.000000e+00</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
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      <th>25%</th>
      <td>NaN</td>
      <td>1.000000e+00</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>50%</th>
      <td>NaN</td>
      <td>2.000000e+00</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>75%</th>
      <td>NaN</td>
      <td>6.000000e+00</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>max</th>
      <td>NaN</td>
      <td>5.429665e+06</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
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<span class="n">train_dtype</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>object    8
int64     1
dtype: int64</pre>
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<pre>category     0
duration     0
published    0
comment      0
dislikes     0
likes        0
views        0
adview       0
vidid        0
dtype: int64</pre>
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<h3 id="4.1.7.-Visualize-missing-value-using-Misingno---Train-Data">4.1.7. Visualize missing value using <strong>Misingno</strong> - Train Data<a class="anchor-link" href="#4.1.7.-Visualize-missing-value-using-Misingno---Train-Data">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[62]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">msno</span><span class="o">.</span><span class="n">matrix</span><span class="p">(</span><span class="n">train_df</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb96dc11950&gt;</pre>
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29hUQvNn52ZNwMPAZcCm0TEmsC32vlnArX6fDJVPmxaWhJKz3CuQNczkjOW+r94otXEEbEcsD61Iuccqub5JtRWtE37PjfyJlPj1Ijw/FCqad92bTuiJP2fDVi9tR+wKrUSdFpELEI1Dv0J8JG22u8VmXl1axB5S2ZaZ7YDRgaYEfFJYK62BZ6ImEStAt0M+DRwbKudr45rK81/SQWiuwKX9N/DtqZ/61Eh+mXACobl3dDqlb8hM8/ve+0QYKd2vdkWOIjadbt/Zt4QEbMA+wJLU5O4lwP7ZuYVo/8v0DD0heeTgN9Rzar3y8zr2mTdb9pHd87M09p3FqSeq3+bmRsNZeDSf5Ar0PWM0jtxZz7aCd4QXTNkRCC6OPBcapv8HzPzgoi4EjgJ+DxVR3QSsHFEXJiZJwAYnndDO7f0jpVvAItRjdluHOrAJD3jjbgWzZmZd1J1ZCe18HwB4EJq1ehGLczYEFgoIvbMzKuHN3qNphHHynuo2ubz0kKK3s4EYMvWymV3qsHflw3Ru6XvWOi3O7UydOO+UhwLUve/92fmbyLieCCBI6mwdFPUBQsDB0bE3zNzjYg4jSr/dDRwRWZ+tvWH+gx1W3xgZl4PbB0Rc1I7Gh7JzAeG9i/QqOorCTWVaiw7hSond2dEHJmZ10bEO4HvAsdHxPbUc9MiVHmxzdrvMb/RM5pF+/WM0Wa+T4+ItaC2/bSLu/Sk2sRL7yH0q8DpVDjxA+C8iJg/M2/NzHOBxdt7vbD0o61+pDqid2MXEXsDS1A7E47KzD9FxMwRMWev4ZYkzYheo6wR16K129tXAwtHxEeAXwA/osLzeyLi+dTq9LmooEsd0XesnAacAHyD6seySUTM3Mr6TGyf3ZIKQPcB1gsbs3VGRLwR+FJEzNH32mTg5cDlre75HBGxOVUW6kzg4ojYMjPvoxaPvA/YcgjD13DcSB0H742I66n+G4sDV/U+kJkHAztQZS53iIiXtNfvzMz7DM+7oz1H90pC/QL4KlUC9TZgW2oS98Vtgv+11LXoTmAicAbw+vb9SYbneqazhIueMSLiBcANVMObT2Xmme11ZzI1Q6Ia47wF+AQVWCwIfJaqI7o08M92gZ9Irc5Yh2rgdvmQhqwhacfAmcB1mblVe+1VwN7A/MCfgUMy88LhjVLSWBePb8w3MTOnR8RzqJIJ/5OZF0X14/gesALwY2D1thr9xcBuwCrAypn5p+H8KzSaRqw834wKzXcGrgc+BbyVFqa3evmTMvPh9vnPAF+yPn43tIVEHwRem5lbj3jvs9SK8iOBRYGVqB4/v6Lub98FLJKZt/R959FjSeNbW5h2MbVC+MeZ+db2+uOOgYjYjmo4exLVWPSGYYxXwxWPNQqdQp1X/kI1qP40tbr8c8DnM/Pa9vlJ1Jqk3rXMc4vGBUu46BmhPUz8IyJeRs18HtRmQ8+wnIueSP9xERGLAW8GPgmc0R4676Uu/mcBt/Uu7O1ifzmwy3BGrtEW/14ffxaqW/xtEbEysCRVQ/R3wM+BjwDTqFILkvRv2irQX0XE1Zm5Zl994bnan9415/6I+DQVli8D7B4RzwJeBLwGeJvheXf0BQ7vpJ7VTgLObLVnN6KCine2zzwuRM/MHYY2cI269gz09cw8oQWiu1DN7m8AjgCeRU3AXUw1Hv45PNr750rgrhG/z4CrA9rEywupe9jzgE0j4tTMXKstJHq0JFBmHtxWHn+MeoZSN72UWni2d2b+ob12D7BFO54+DjwSEV/IzOtGnks8t2i8cHufnikCoNXwWxJ4HrBdRLy3vW45FwHVNCki1oZ/6+49H/Bi4DftYXNh4AJq1d/G7bX1Lc3RTb3wPCK+GBFvzcy7qTBrXeBUqsnsHpm5XFuR/hXgFW3lqCQN8myqZMJ7I+LovtcnAXe3Pz0XAhsAx1Gh+SuBS4A3ZebvR2e4GitazfOzgMOAh1t4PjEz76KCiu9TK4g/18q5GE50SEQsFhG7AWTmA23X3MpUwLl/RMyTmddm5keoJuhbZebPI2JSRLwcWBG4yjIc3dFf1inLn4AtqBXEuwHvi4hT2/sPRcSEiJgpIqZm5u7AK9LeCl32CFX7/NGypr0SYsBewHXUPcxGETHX6A9PGh2uQNeY16u71X7+AjXb+QB1QzhHRDySmd92JbraJMrpwL8i4vR8fEOl26lz3rMiYl5qFfE5PNakbQWqHu2fqK7i6phWP/S1wNIRsVJmfj0irqBuFu/JzCva554LvIzapWBo0SEjSivMlDYW1gBt6zKZ+c+I2Jda5blTO342pK5F9wM3977TJvFuoJq0TQGmU03avKfppoupsi2fAN4QEbO2sj4TW238j1PHyIbUPfHWT/K7NI60nS27AG9vzz17tNJQPwY+TJVsmRgR22bmjW3ShbarZWVgG2r35abtdZ+dxrkR9y7PB+ahSqJmZt7aSlwGsEdEnJKZa1PHyBeoxSLLUvWu1QFPcE64hap7/o6IOC6rFn5vV929PFYT/RPUc/R3BuzulZ7xDNA15vWtDD0RWI6aJf8w8AJgf2qlRWbmmYbo3db+/98IuKOtnnhTZp7f3r6dCsf3pxrlnA1s2MLzuamH0MlUbXR1QP8DBUBm3hURh9HOMRHx+cy8bMR3XkGt8FoC2NpVf90x4gF0e2BSRByfmTc+xVfVIRExG1XHfBfgnMy8qU3+B/CpiLibagg5N7BSRNxEBaATqMm6uYAr0xrWnTHyWgTQyhaeQD2rfRrYuwWi0/tC9O2oiZgvDGHYGpJ2f7sDdc7YsB0Pu7X72dOoc82RQLZj5qYWum8NvJeqpb9CK9Xxb8eexpcR9y5HUOUsX0ktAjkuIr6cmTdHxDHtK7tGxOVUo9HXAav6XN0dvXJgI/OUzLwjInYETgP2jYidM/OO9vZLqQWOGwNfo5rPfsfwXOORAbqeEdrM90rUapwT+0L1C6jt0fuENdE7rx0DN7Sf9wA+HhHbZ+axmXlVu3E8DPgbcFR72Ficquv3dmD5zLx1aP8AjZp2jug9UKwEXNtKRJ1MNdfalLoJ/GdvBUVE7EM9eMwLrJKZVw5n9Bpt7RjoHS8nU6XEjsNSePp3QTUZ/gU8rodLL+T8FHW9eQA4mKpz/kj78zDwILDUaA9awzEi3FqpvXxtZv4lM//eVoZOoCZ2GRGi3x0RH/d+t1va9ej6iNgGOJya8I/M3DUz7+uV4eCxEH27FqKfBfwSOLvd09jUb5wbca97CnXvcgBVvvJn1KTKcyPiwLZj6ijqGen91A6X5TLz8uGMXqOtXVcebgsBPhvVe25OqpzY1zPzzIjYnZrUXSQifkhN4n6YKkl3A7USfZ5hjF8aDeE9l8aSVkLho8ChmXlP3+vLAucDa2TmGe213gzpatRs6M+BozPzlCEMXUM2chVNRCwKnEitKj80M49qr38c2IkKL6ZRgcUUYK20zmznRMR+1HbD7wJfzsxvtu2tvwO+18otEFXr/H3Uw8cRmfnnYY1Zw9PCrBWph4XfZ+adI9538laPioiDqUZ9X2mrRl8IbAZsRIUUbwUmUg+bD1KlXiZaZ7Z7IuIk4C3UzoQ/ACdk5kHtvRdQK/t2oxqI7uB5ptv6JvZfRIXorwWOz8xd2/szA2tRuxPOALbNzJtHfn8IQ9cQtJXD6wKbZeZFEbElcCjwe2BhajL3oLYTs3dszZKZ9w5x2BpFvfvXFp7/lrof+S11f/Lq9rH3AFcAqwKfAZ5PPU//jnpGmkjtwPsjtRBputcqjTeuQNdYsy7wNupC3u8hKux8VUScmZmP9K2auAz4F7ACMFtEfKc/fFc39K2wOIwKQn8XEWtSkyvbRgSZeVRmHhoRl1INRV9F1Wm7uLdyXd0R1VDpfur8ksDxEfE24BjqxnCziFg7M0/JqnV9UkSclo+vra+OiIhXA8tQK4jPbw8aL6R6J7wQ+HZmnmuI3j0RMQvwJWD9rIZ+k6l77I2oVVnT2rnjhnismehOwIGZuQnVt8PVoB3VSrG8hlpAcjdV/udjETFXZu7UdjAcQ60I3ZOabNlpaAPWUPQvFOmF35n5t7Yw5DBg/Xav278SPamm51cDu/d+l+H5+NY7ViIiqIVE81CLQi6KiI8CBwLvzcyzIuJ31Er0iIiDegsDDM+7pd3TTqDOJbcBa7edub3FIxsAr2k7Er4fET8HnkM1uf5rRMxOTeYtBGzg/YzGKwN0jTVfBY7LzAcjYi3gR5l5W2b+OiLOALYFfgpc0PedOYEfUaH7fYbn3dXKsXwEuD0i/pCZf4qINYBv8PgQ/dzhjlTDMHKXQlthcxCwBnAfsCxVwmVe6qHzLmDFiDg7M29v3zE8765ZgEWoLapT2rnlMODO9t5WEbFiPtZ3Qd3xVmq15wIR8YbMfBB4KCJeTJVyOZAKJ05tD5pHUqVedoyIOTJzbR82u2Pktag5CjitXZcup1aH9gLRXoj+FSo8P2uUh6whi4gp7dloJmq1+dzUueWBVs5la+AQ6pjJrJro90XE6VTzv3OGN3qNpv6Sc1TN+29Ri0KmRMSCwPbUzssft88cBhwBbAncHxH7ugigs2ai7nN/0heer0GF5ztk5okRMSswW9vRcmf7zFuoSd1XACtn5lXDGLw0GqzdqaGLiFkiYm2AFn4/FBHvAE4BdoqIudpH9wCuAk6PiA0jYqGIWIyaNX8d8OfMtAFkh7USLGdTtfsmt9euBtakVhpvGxEbDm+EGqa+XQr7RsSSbXXfNGBzagfLC9p/LwRmox5SN6aaF6tD2qqt3s+9e6XrgJ9QE7a/oMKKL1Or0lcFbgJWGd2Raow4m3rAfDHwy4iYAtBW8i0D3EvVnV0rIiZn5t+Bz7c/q0TEvMMZtkZbPL7m+Ttb8PAeYFoLzydm5vXUavSLqUB0L4C2U+7gtMFsJ0TEghGxDEALz59F3Z98nyrL8keqTvECmXkd9Tz0O+qY2aN9b1pmfr+VvHTh3DjXdsD1+oR9g5qYWzAzb87MvwGLU82qf9C3wnxu6t7mu9QknuF5R7Tdcv33vFOp+5jeNWpt4FRg58w8uE3g7UDdt0xon5lANZw9mwrPLxndf4U0ugzQNVTthH0YcExEbA61hYi6QdyJau64c0TMnpnXUmHWBVSJhd8APwDeCazbgjB1RH/A1f4+uf24B/BcYMfe5zLzT1SIfg+wX0R8cDTHqrEjIhamVoqeC+weEUtm5gXULoUNqEZ+hwDrUeHondTWZ3VEC7Cy/TwTrRlSZt5CXZMOpCZ418vM7TPzn8Ad1JbXa4czag1LW+13P3VMfJIq5zMyRF+Sfw/R/9H+vmBm3jic0Wu09YXnp1LBxDeA1wNLteNiejum/kaF6BcBO0TErv3f1/gVZQ7gEuDwiFi6vXUicDuwPrVK9BSqJ8dJfSH6x6jno09FxEb9v9ddLuNbO2/07l2WBGYH1gGu6fvYNGAO6pxDRDyPCtUvyMwPtucljWMRMSkilo6I52X1ZpkT2DsiXkotNrsBeE1EbAWcROUxB7SvL0Hr3dJXRuqRVtblMx4/6gKbiGro2o3hvsD8VLPHw9vrcwBbAPtQW1l365VniYj3UKtFH6G6yf9lCEPXkLSHzIfaz1Mz84H2cwDPAo6nQvR3ZObt8VjD2UWoyZf10yaQnRBP0CgrIvYEVgeeR62mmEY1Z/tEZp7c97m5MvO20RqvhmvE6tDPUWV9XkmtOD8R+FoLuB6tVx0R8wGfBlaiVt9cP5zRa7SNPL9ENe5bh3rYvAFYupVzoT2kXkw1rd4T+KolobpjxLllA2qSf3vqnuXtwAeoLfIHt8/0GvnNT90H7+Euy26JiNWBrwPnU7tVtgL2Bn7at8r4o8A2VDmO7bKaQL6Eala8sxMu3RPVvHouqs/Typl5d997LwWObe9dRl2PXg0s30JQjXMRsSpwJHUcnAL8jGomu257Zn43cDrVEHTfzNylfW8hqtfLNODtnlvUVQboGqpeEBpVu/pg4EXAESNC9M2pgP1QYG/DrG6KatL2QeDE3m6DVg90NuBbmfm1vs+uRJVZ+HBmntBe6zXUmWxo0Q0jAos5qaDilt621YhYnuoa/zGq/8Iy1IqdZQ1Buy0ivg4sDXyNKs2yJrAw8E1gi77wYgNgNeCNwCpuXe2OEeeXVYFrMiHh2EsAACAASURBVPOaiJhKheifAf5Ohei9Sd45qNWAtwLLZOZdwxm9hiWqUfU7qd1Nu7eQ/OXAdlTo2R+i9+5bbDDbMX0TKO8AvkOFnZOB17Xa5v2LR46krlELZea/RvyeQfX2NY5FxNXAy6lrzaJZja0n9N23LEU9T70WuBnY1fC8WyLiq9Sk7Z3ApdSCojszH20kuhm1G/ccasfus6lShROApVp247lFnWQJFw1NO/H2gsypVC2/2YFdImJTgPZweSS1fejjwCcj4jnDGK+G7gDqWNimhekAf6JWh34+Is6LiHUjYp7M/AnwbWCLqCZu/duefQjtgBHh1ueBH1LHy/ciYjeAzPxZZm4NrEw1vnkEeD7VDNLrY0dFNbBehioZtleb0N2OqhN6D60Be0S8kXqgmASsYHjeHSPOL1+mVoVuEBGztFDrZGqF8XxUOZep8Og9zcuB1QzPuyciNqNKD76HmnDpbYH/M4/d43wmIrZtr09v//W+pUP6agtHZn6PmnBZlJrEXROghaJT21e+QK04XnLk7zLgGt8iYuLI1zLzFdQ97wJU+adZ22TMxPb+r6h7muWoVceG5x3RO7dk5gepRuazAb8FJrfwvFdD/yhgDeq8sgWwFLVSfckWnk/y3KKucgW6hi6qQ/zCVIPQO6n6xHdS24aOaJ+ZA9iUesDYl5ot9+DtkBaan0LV7TuKqrV2b9vevDiwKxVW3EF1l1+Oaia6YWb+ePBv1XgXESdTq4O/SB0bywFrU+UT1m83ixkRLwLe1d7bNDOvHNqgNap6x0Df3/egHhyWycy7W+mnn1Fb5D/SzjuLZOYf23bo27LqXKtjIuIUKrTaBrg4M2/sO6fMxGMr0f8CvLG3YlTdFRHHAh+hVvZtkFULv/fe/FSwtRXwsd49sLqj7/wxpVf+qb3e21n5G2D7zPxpe30Cdb06GnhbC0fVMRFxENVg+Ma+1y4AFqN6c3yl3bv0djaEz9Hd1M4ZL6TuTaYC76bKyn0hM//ZyqHSdx8zGbivr2yhK8/VaQboGqqI2Jpq+vgu6uHz/qia6IdSNc73zcwvts/OCXwY+GFm/nFIQ9YQRMRM7diYSjXdWowquXFgPlYXP6jtaGtQq0J/A7wB+E5mvns4I9cwRfVKOJw6b/y8HUPLU9sRT6bC0P4H1InAJEOu7hixrfk5mfmviPgMtUJ44YhYAPgVtZpro8y8p5VtWYwqv2Bw3lFRDfp2pyZqf9FKbcxBTeROyszLohqJrkM1JL4gM5cf2oA1quIJ+m+0975MNYLciypbeEvfey+lVvx9OTOvGJXBakyJiMnAr4HfZuYGfa+vCnyPWjF6BHAGVWrs00ACb3qiY07jV0S8nprk/ydVXuOffe9dRNU77w/RDc875imuRydSz897USH6ze31ZwNzZV/PMI8dyRIuGiURMVNEvGLAWwtTK7MuaOHWxMz8JbX6ZiZgn7bllRZUHGZ43i3tmLi//XVlKsyaF9iEKucyM9RMeWZ+LTPfSwUWlwFXUivTNY49yfllAapkz6/b+WVB4FvUToZNMvPBiHhD78OZOd3wvBv6trH2wvOvAeu2t68CFoyILYCLqFV/vfD8edQE3bMBV+B0QETMHhHHRMQ8I956OXB9Zl4ITGznkguoyZbfR8Sn2gTdqcB6wEajOnANTbtv6Z1bFo6IpSLiFb3ycy0U/Tp1f7JVRDy3993MvA74lOF5pz2baly9fkQc0nsxM38AvIOqXf0l4OfU7pd/UGXEHi3ToU75LfAh6p7k4v5rVWYuC1xOhaObR8TMBqDd0sqtPBIRkyNioYh4TUS8oPd+Zq5HLSraFdg0Il7YrknfoI4r+j7rsaPOM0DXf11bSXENsE5vW1CfacDzqNrnANkePH4N7EMdo3v2heieuDumr87sqcBhVI3qo4G7gU9R9f1mbp+Z1L5zBrUNeqnM/P0wxq3R8RTnl6nAnJl5VyvR8gtq2/ymbRXO/wAbR8R8oztqDUs8Vov60aCh7W5aHuidK75CrfI7AvgDVQbqnlZeYR+qJNC+vd0vGvdWAOan6t/3uxVYNiJ2pGpX/wS4gurZcjiwV0QsmJn3ZeZJmfmnURyzhqSt9OvdtxwLfJe69lxC9WtZCSAz16Emc3elgq3n9X5HWvO809oK4j2Bg4CPRcShfe/9gFpMMp2qX7w/sKZ1ibuh3fP2/703WfdNapX5IwwO0f9J9RKbaRSHqyFrx8fDETE71Rvs29T97UURsWLvc5m5LnAStavuW8B51H3P3qM9ZmmsmzTsAWj8azd1WwHntnpa8/bVaLucWmnx4Yg4LjOn9YVgzwWuBW6gVgCqoyJiY+BtVPOkH7fwa2bgLCoofyQiDs7M+9oDxMOZee8wx6zR8RTnl2uBKRGxF7Ul/ofUyvN7IuL51PE0HbCZXwe0B8+fR8StmblKK7kRVJOkuWkNhtvDxt7Ulvi3Avu2kP35VOmWVQxDx79W+/NFmXlWRJzddqxsBXy3rRI+CViEahZ6EVWz+uj23YnAdfx76K5xrm/l+VepyZc9gduBBamShQtFxJ6Z+YPM/EBEPESFFg9GxIGW4OiWeKwm9eNqU2fm3/uC8+3by1sDZOa5Uc2utwN+1u59womX8aldi+bPzKsy86H22vrACe0+pnfsnE7dtxxMBaRLZ+atAJm5SES8JDNvH9o/RKOqnROmR8Ss1G6V24EtqUmWbwPfiYgPZebpUCvRI+J64BVUL7rN2/3wJM8t0mOsga7/qhZO9K/GOYFacb5ttq7fEfF9qrvzjsCpWU3b5qGaW1xE1Wy7f+D/gDohIg6kmssu3EpxTGlhxhRq6+ILqRvGz2bmtGGOVaNnBs8vZ1Mh6EXAe7Ma5MwP7Aa8HVgxM68ayj9Aoyoi5qIaDH8c+FZbAUor//ML6li4tO/zz6ceNl4LzAqcTz2wXj3aY9foaruZzgBeAqyXmZdExFLUcXIWsEVm/r199vnA/Zl5R/v7XNT16KXA6r3X1R1RvTZOoFaEfr23ezIiVqO2yv8I2Cwzb2qvHwUcatmWbmoB6U+AAzLz270Qvb03H3Xd2ora+bTLgO8/YX1jPbO1a9G3qOtJ71r0Tuo6dDQVcmZfiD4Z+Ci1e+EK4C2984y6px0/xwAvBtbOzFsi4jRgGWqSf2ng/W3ndu87jzYwNjyX/p0lXPRf1VZR9MKt5wA/psKsT0XE4u1j76NtbQXOiYivUDcL76FWVhie6zZgFirMoIXnU9sFfj9gChWKbTW0EWrUPcX5ZbH2sTWpsi1LAMdFxClUA9q3A+8wPB//ImJSO1/cRk3M7g2s1cpC9dwL3Nj/vcy8KTN3pa5FK2Xmrobn3dAeGM+nri2fi4glMvNXVH+NNwNHRsSL22dv6gvPV6COsdWBrQzPuyFaT4U+z6Mm9q9p4dbEFoqeBWwLrEatSAcgMzc1PO+evh23L6HONcdHxCq9FeUAbaLuUOAWYKeI+NLI32N4Pn61a9EFPHYtWjQzv0uVsNwA+GI7tzzSws6HqOfpK4BXAj8K6+J3yojr0VxUydNDWnh+EhWevwPYHvgX8NU2uQvUM3b7Pe5qkQYwQNeoiIh9qBILx1OlFD4A7BgRr86qD7oycAB1g/ia9t/lfKDolr6HiZE3AL+jSiysExFzAORjzR7nom4uz6UmXtQxT3B++WQ7v9yVmatQodbtwLOAs4HlM/OSoQ1ao6JtXf0V8Jb2MHArcBTwaeB/WhgxG3UeWTUiVoqIN0bE8hGxSkS8H1jUgKI7+oKrA6jgaj7gkIhYLDO/DmwGrAgcFtVbofe9jYEDgdcBb87MP4z64DXq4vENQxdtL98DBLBAbxs9jz1z/Qh4gDpOHnffo27oBZq9VeaZeSV133IxcHpErNpbVdze/zMViP6EOqZ8fu+AJ7gWHR4Rr2yv7QZsSIXoE/vCzqWAv1ON0VdL6+J3RjzWMHRqRLwhq5/C14CzI2JN6tj4UGZe1hYFfJfaYfntiFi5/3f1zk+SHs8a6Bot9wMLtov+F9sWs0Op+4MDMvP3mfnpdlM5M/CwK8+7pd389d/kzUrNmpOZZ7cyLjsB0yLilMz8a1QX8SWpAH0vL/ad9UTnFyJi/8y8NDN3H+oINSwPAZcB57dAYnJbhXN0e383qk5xrw7x/FR9yOlUTfSHqNU66o4J1P//UNvk30gF5odHxOaZeUrLNY5pr300M/9GNaH9HHBB+7vGuf77loj4ArBI2x5/LHA1tTPup8CNffc3c1G76v4ChhRd0yuJEBGzUCuI56QaPH6dOl4OpEL0tdpKYyJiCapXywHARf0lO4bzr9AoeaJr0ZERsXFmHtBC9r2Aqe05CWoy5j7grLTZeWfE4xuGnglMiIhjMvPE9v6i1H1tfw+fmYEvAtdT1ypJT8Ea6Pqv6tXxazW4LgWuzcx3tfe2AI6g6kHum61msbpnxEPorlRg9QqqycnnM/MvUU1D96dq+10G3EytJl6AWk3sar+O8fyiJxIRs1HNPk/ve+1Q4Brg2KyGw88DNml/bgeWo8LzeamHz3uAKW0Fjzqgd05pP58OzENdZx6gauGfT5VmuSwi1qZC9HOAj2Y1/QsD0e5p5aCWpCb5f5WZf46IdwFfBi6nJup+RzUi3okqA7R8Zt4wpCFriFrA9UtgDmB2YDLwV2Ab4A6qdv7bgMOoZn6rUQsFVuqVd/E8M77N4LVos8z8Y0RsCewLTKUm5yZQ9z+/H8rgNTR9uy5vpppW/yoz72vvHQKsB7yJOt88Fzge+FLbwWvNc2kGGKDrP2rAKuJHtypSW+Y/TDVB+Vl7b3OqVtt3ge3TesSdM+Im8TSqVvUPqKDrc9SqnIMy8zftM+sCqwIvom4A9rfUTzd4ftGMiojPANsBG2Tm8W2S5QZgItWw+pQWos9LbYHek2r212ss6kNEh0XEAcBHqPr3V7ddC7sAm1Mri7fMzMsjYi3glPbnQx4z3RMRmwK7UuUSzu8r5zILVWf2M9Sk3B1Uvdm5gLdbQqxb+q8pEfFVqkb+9lSpjVdRkywLA+sDf6BC9I2oIOyPVCmOh1x53i1PcS26hsdC9IWonj+3Aj/MzGuHNmgNTduFsAqwRraePb1np7Zo5EJqwu4qqrHofcDrLfMjzTgDdP1XRDWj+GX/yr1WK/QS4MTM/Hjf69tSs6QLZzXLUQe1m8TVgfUz8xcRsQ1wMPAgdcH/ZGZe3D47hSqtMDlbsxN1h+cXPZUWjH8OWAvYJDOPjYipwC+o4OITwMl9K9E3Bnamaum/Y1jj1vC1FVxnUCv51obHymxExA5UGYXzqRD9DxHxPuCKVsdYHRMRnwdeD6yYmfcOeP9ZVAA2H7VN/qzMvG50R6mxoO2MWpFaAfq7zDy57715gG9QK41fl5nTIuJlVMB1U2+3nZN03fE0rkVbZ+bv3JmgiPghcFdmrjHi9V6IvhD1TDQ3VUZss1b25d8WKEkazABd/3FtW/NJVJh1LlWb7YEWVOxKbVFcLTMv7PvOszLzjqEMWEMXEfNTYfkPWtC1HbAf8H6qXttp1Kr0/TLzl8MbqYbN84tmVAvGjwD+h3pIOLqF6BdTK0L7Q/R5gK2pci6LO9nSXW23wgXAnVkNiGm18x9qP59B1c3/C7XjxfJhHdXqD/8AeFZmLt17rT/EiohVMvPsYY1RY0M7Vg6kdkZNB9bMzDNGlDB8GxWYfqzdCz+62tyV590zg9eiN1MTc+tbsqXb2uKyX1HlLN/XXuvf5T078K7+ibv2uhNz0tNgF2/9N5xOrca5gmpkcimwR0QsTN0YPkg1Qumd7KFq/Km7bgROBL4VEW+htq5uRjVB+QnwM+DdwGciYvGhjVJjgecXzZDMvBnYijpmvhgRm2TmA1St4hup1VvrRMRMbTfD53CngqoO/q+BxSJiRYBWOqFXLmo6dfw8SGt0rW5qwcQfgIUi4q19rwEQEa8Gto6IVdvfYygD1dC14+IQ4CvtpTe116dHRO95/Arq/DN7e++Rvu8bnnfPjFyLbqLqortIRNOpnhvLRsSb4d+aVC8JbBIRS/deaAG74bn0NBig6z8uMx/KzN8Cm1JB1jnUCsBLgHdSF/ntImKuXvkNt5x1WzsOvpOZ/wLeStVmOz0zp2fmNKpG5NlU3XNvEjvM84uejhkI0fcGPtJC9Fsy89YhDldjQAuqDgdmAXaKiGXb69Mj4jlU+bCtgbdl5vXDG6nGiOOAScAnIuINvRfbDpitqTqzl4LXoq5rk7M7UdejbVqflv5w/IXUpNw9wxmhxpKncS1axWuR2k6WA4A5gV16ITpARLyS2rF7H7ULs/cdr0nS02QJF42KiFiU6iK/KVUHcgLwksz861AHpjEnIo6mtiS+OTNvioj5gKOpUgznOFOukTy/6Kk8STmXa6jVW6/LTHcq6FFtRfG3qOaz36NKtrwFWI46XqxjLQAi4u1UKHoz8CMqBF2i/VnR0grqN+J6dBjwc2AmqjHkVGBJ6xGrx2uRno6+69HdVFg+HVgIuBdYOm1GLP2/GKDrv2pALchFqFWj52XmNcMbmcaqiFiCavR3GnAZsBhVb/ZN3iSqn+cXPR0jQov+xqLzZea1wx2dxqJWguNg4NXARGo31AaZeelQB6YxJyJeC+wJvBK4H/g9sGdm/nGoA9OY1K5HhwJrAEGtHJ2Hak78gE391M9rkZ6OtrBoW+p4uZnaBbVbaxhqzXPp/8EAXaPOLuF6Km3b2cnAFOom8UOu4NKM8PyiJ9MXWqxFPXweP+QhaYyLiFmoLfSzA7e5U0FPpPXdmEzVLn641+xPGiQing/sD3wI+HBmntBen9IrQSf1eC3S09F6K0zoD8udmJP+/wzQJY1Jrb7fHMDd1iWW9J8SEfMC+wEHZuYVwx6PJKmbWoh+BPA+YOPMPG7IQ5IkSU/AAF2SJHWKq3AkSWNB2xl1CPB+YP3M/OqQhyRJkgaYNOwBSJIkjSbDc0nSWJCZN0fEtlRD698MezySJGkwV6BLkiRJkjQk7oySJGlsmzDsAYy2iFgjIg6PiPMj4q6IyIg4cdjjkiRJkiR1j+G5JEljWxdLuOwCLA7cA9wALDzc4UiSJEmSJEmSxqLOrUAHtgEWBOYANh/yWCRJkiRJkiRJY1TnVqBn5rm9nyNimEORJEmSJEmSJI1hXVyBLkmSJEmSJEnSUzJAlyRJkiRJkiRpgM6VcPlPWGGFFXLYY9AzwyGHHALA1ltvPeSR6JnA40VPh8eLZpTHip4Ojxc9HR4vejo8XjSjPFb0dJ133nnjtUbzmM4fr7jiCrbccksOOOAAllpqqWEP56n8v44RV6BLkiRJkiRJkjSAAbokSZIkSZIkSQMYoEuSJEmSJEmSNIABuiRJkiRJkiRJAxigS5IkSZIkSZI0wKRhD2C0RcTqwOrtr89v/102Ir7Sfr41M7cf9YFJkiRJkiRJksaUzgXowBLA+iNee1n7A3A9YIAuSZIkSZIkSR3XuRIumbl7ZsaT/HnJsMcoSZIkSZIkSRq+zgXokiRJkiRJkiTNCAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJkiRJkgYwQJckSZIkSZIkaQADdEmSJEmSJEmSBjBAlyRJkiRJkiRpAAN0SZIkSZIkSZIGMECXJEmSJEmSJGkAA3RJkiRJk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<h3 id="4.2.-Test-Data-Exploration">4.2. Test Data Exploration<a class="anchor-link" href="#4.2.-Test-Data-Exploration">&#182;</a></h3><h3 id="4.2.1.-First-5-rows---Test-Data">4.2.1. First 5 rows - Test Data<a class="anchor-link" href="#4.2.1.-First-5-rows---Test-Data">&#182;</a></h3>
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      <th></th>
      <th>vidid</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
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      <th>0</th>
      <td>VID_1054</td>
      <td>440238</td>
      <td>6153</td>
      <td>218</td>
      <td>1377</td>
      <td>2017-02-18</td>
      <td>PT7M29S</td>
      <td>B</td>
    </tr>
    <tr>
      <th>1</th>
      <td>VID_18629</td>
      <td>1040132</td>
      <td>8171</td>
      <td>340</td>
      <td>1047</td>
      <td>2016-06-28</td>
      <td>PT6M29S</td>
      <td>F</td>
    </tr>
    <tr>
      <th>2</th>
      <td>VID_13967</td>
      <td>28534</td>
      <td>31</td>
      <td>11</td>
      <td>1</td>
      <td>2014-03-10</td>
      <td>PT37M54S</td>
      <td>D</td>
    </tr>
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      <th>3</th>
      <td>VID_19442</td>
      <td>1316715</td>
      <td>2284</td>
      <td>250</td>
      <td>274</td>
      <td>2010-06-05</td>
      <td>PT9M55S</td>
      <td>G</td>
    </tr>
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      <th>4</th>
      <td>VID_770</td>
      <td>1893173</td>
      <td>2519</td>
      <td>225</td>
      <td>116</td>
      <td>2016-09-03</td>
      <td>PT3M8S</td>
      <td>B</td>
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<pre>(8764, 8)</pre>
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<pre>object    8
dtype: int64</pre>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 8764 entries, 0 to 8763
Data columns (total 8 columns):
 #   Column     Non-Null Count  Dtype 
---  ------     --------------  ----- 
 0   vidid      8764 non-null   object
 1   views      8764 non-null   object
 2   likes      8764 non-null   object
 3   dislikes   8764 non-null   object
 4   comment    8764 non-null   object
 5   published  8764 non-null   object
 6   duration   8764 non-null   object
 7   category   8764 non-null   object
dtypes: object(8)
memory usage: 547.9+ KB
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      <th>vidid</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
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      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
      <td>8764</td>
    </tr>
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      <th>unique</th>
      <td>8764</td>
      <td>8605</td>
      <td>3434</td>
      <td>1215</td>
      <td>1556</td>
      <td>2109</td>
      <td>2330</td>
      <td>8</td>
    </tr>
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      <th>top</th>
      <td>VID_14440</td>
      <td>36679</td>
      <td>2</td>
      <td>0</td>
      <td>0</td>
      <td>2016-08-26</td>
      <td>PT31S</td>
      <td>D</td>
    </tr>
    <tr>
      <th>freq</th>
      <td>1</td>
      <td>3</td>
      <td>89</td>
      <td>662</td>
      <td>727</td>
      <td>32</td>
      <td>120</td>
      <td>4419</td>
    </tr>
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<pre>category     0
duration     0
published    0
comment      0
dislikes     0
likes        0
views        0
vidid        0
dtype: int64</pre>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb96db0c610&gt;</pre>
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<h3 id="4.2.8.-Report---Data-Exploration">4.2.8. Report - Data Exploration<a class="anchor-link" href="#4.2.8.-Report---Data-Exploration">&#182;</a></h3><ul>
<li>The shape of train and test datasets are (14999, 9) &amp; (8764, 8)</li>
<li>There is no null value present in both dataset.</li>
<li>Some categorical columns should convert to numerical.</li>
<li>e.g 'views', 'likes', 'dislikes', 'comment'.</li>
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<h3 id="4.3.-Train-&amp;-Test-Data-Comparison">4.3. Train &amp; Test Data Comparison<a class="anchor-link" href="#4.3.-Train-&amp;-Test-Data-Comparison">&#182;</a></h3><p>Here we'll compare below things between train and test dataset.</p>
<ul>
<li>Data Type</li>
<li>Null values</li>
<li>Data Distribution</li>
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<h3 id="4.3.1.-Data-Type-Comparison">4.3.1. Data Type Comparison<a class="anchor-link" href="#4.3.1.-Data-Type-Comparison">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># as &#39;SalePrice&#39; Column is not available in test dataset. So we&#39;ll delete it.</span>
<span class="n">trn_dtype</span> <span class="o">=</span> <span class="n">train_dtype</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;adview&#39;</span><span class="p">)</span>
<span class="n">trn_dtype</span><span class="o">.</span><span class="n">compare</span><span class="p">(</span><span class="n">test_dtype</span><span class="p">)</span>
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      <th>self</th>
      <th>other</th>
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<li>The data type of each columns is same in both train and test dataframe</li>
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<h3 id="4.3.2.-Null-Value-Comparison">4.3.2. Null Value Comparison<a class="anchor-link" href="#4.3.2.-Null-Value-Comparison">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">null_train</span> <span class="o">=</span> <span class="n">train_df</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
<span class="n">null_test</span> <span class="o">=</span> <span class="n">test_df</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
<span class="n">null_train</span> <span class="o">=</span> <span class="n">null_train</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;adview&#39;</span><span class="p">)</span>
<span class="n">null_comp_df</span> <span class="o">=</span> <span class="n">null_train</span><span class="o">.</span><span class="n">compare</span><span class="p">(</span><span class="n">null_test</span><span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">([</span><span class="s1">&#39;self&#39;</span><span class="p">],</span><span class="n">ascending</span> <span class="o">=</span> <span class="p">[</span><span class="kc">False</span><span class="p">])</span>
<span class="n">null_comp_df</span>  
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<li>Here we can see that there is no null value present in test and train dataset.</li>
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<h3 id="4.3.3.-Distribution-Comparison">4.3.3. Distribution Comparison<a class="anchor-link" href="#4.3.3.-Distribution-Comparison">&#182;</a></h3><p>Before going for distribution comparison,let's do some data preprocessing which will help in data analysis.</p>

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<h3 id="4.3.3.1-Convert-Categorical-column-to-numerical">4.3.3.1 Convert Categorical column to numerical<a class="anchor-link" href="#4.3.3.1-Convert-Categorical-column-to-numerical">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">convert_col</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;likes&#39;</span><span class="p">,</span> <span class="s1">&#39;dislikes&#39;</span><span class="p">,</span> <span class="s1">&#39;comment&#39;</span><span class="p">]</span>
<span class="c1"># these columns contain &#39;F&#39; letter. So replace it by &#39;0&#39;. As we are converting columns to numerical.</span>
<span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">convert_col</span><span class="p">:</span>
  <span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">({</span><span class="s2">&quot;F&quot;</span><span class="p">:</span> <span class="mi">0</span><span class="p">},</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
  <span class="n">test_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">({</span><span class="s2">&quot;F&quot;</span><span class="p">:</span> <span class="mi">0</span><span class="p">},</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>


<span class="c1"># Convert &quot;categorical&quot; feature to &quot;numerical&quot;</span>
<span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">convert_col</span><span class="p">:</span>
  <span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
  <span class="n">test_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
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<h3 id="4.3.3.2.-Temporal-variable-analysis">4.3.3.2. Temporal variable analysis<a class="anchor-link" href="#4.3.3.2.-Temporal-variable-analysis">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <td>40</td>
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      <td>2016-09-14</td>
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      <td>2</td>
      <td>1707</td>
      <td>56</td>
      <td>2</td>
      <td>6</td>
      <td>2016-10-01</td>
      <td>PT9M30S</td>
      <td>D</td>
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      <td>VID_2187</td>
      <td>1</td>
      <td>2023</td>
      <td>25</td>
      <td>0</td>
      <td>2</td>
      <td>2016-07-02</td>
      <td>PT2M16S</td>
      <td>C</td>
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      <td>VID_23096</td>
      <td>6</td>
      <td>620860</td>
      <td>777</td>
      <td>161</td>
      <td>153</td>
      <td>2016-07-27</td>
      <td>PT4M22S</td>
      <td>H</td>
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      <td>1</td>
      <td>666</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>2016-06-29</td>
      <td>PT31S</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># convert &quot;duration&quot; column format into &quot;second&quot; format</span>
<span class="k">def</span> <span class="nf">checki</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="n">y</span> <span class="o">=</span> <span class="n">x</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span>
    <span class="n">h</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
    <span class="n">m</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
    <span class="n">s</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
    <span class="n">mm</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
    <span class="n">P</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;H&#39;</span><span class="p">,</span><span class="s1">&#39;M&#39;</span><span class="p">,</span><span class="s1">&#39;S&#39;</span><span class="p">]</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">y</span><span class="p">:</span>
        <span class="k">if</span> <span class="n">i</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">P</span><span class="p">:</span>
            <span class="n">mm</span><span class="o">+=</span><span class="n">i</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="k">if</span><span class="p">(</span><span class="n">i</span><span class="o">==</span><span class="s2">&quot;H&quot;</span><span class="p">):</span>
                <span class="n">h</span> <span class="o">=</span> <span class="n">mm</span>
                <span class="n">mm</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
            <span class="k">elif</span><span class="p">(</span><span class="n">i</span> <span class="o">==</span> <span class="s2">&quot;M&quot;</span><span class="p">):</span>
                <span class="n">m</span> <span class="o">=</span> <span class="n">mm</span>
                <span class="n">mm</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="n">s</span> <span class="o">=</span> <span class="n">mm</span>
                <span class="n">mm</span> <span class="o">=</span> <span class="s1">&#39;&#39;</span>
    <span class="k">if</span><span class="p">(</span><span class="n">h</span><span class="o">==</span><span class="s1">&#39;&#39;</span><span class="p">):</span>
        <span class="n">h</span> <span class="o">=</span> <span class="s1">&#39;00&#39;</span>
    <span class="k">if</span><span class="p">(</span><span class="n">m</span> <span class="o">==</span> <span class="s1">&#39;&#39;</span><span class="p">):</span>
        <span class="n">m</span> <span class="o">=</span> <span class="s1">&#39;00&#39;</span>
    <span class="k">if</span><span class="p">(</span><span class="n">s</span><span class="o">==</span><span class="s1">&#39;&#39;</span><span class="p">):</span>
        <span class="n">s</span><span class="o">=</span><span class="s1">&#39;00&#39;</span>
    <span class="n">bp</span> <span class="o">=</span> <span class="n">h</span><span class="o">+</span><span class="s1">&#39;:&#39;</span><span class="o">+</span><span class="n">m</span><span class="o">+</span><span class="s1">&#39;:&#39;</span><span class="o">+</span><span class="n">s</span>
    <span class="k">return</span> <span class="n">bp</span>

<span class="n">train_mp</span> <span class="o">=</span> <span class="n">train_df</span><span class="p">[</span><span class="s2">&quot;duration&quot;</span><span class="p">]</span>
<span class="n">test_mp</span> <span class="o">=</span> <span class="n">test_df</span><span class="p">[</span><span class="s2">&quot;duration&quot;</span><span class="p">]</span>

<span class="n">train_time</span> <span class="o">=</span> <span class="n">train_mp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">checki</span><span class="p">)</span>
<span class="n">test_time</span> <span class="o">=</span> <span class="n">test_mp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">checki</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">func_sec</span><span class="p">(</span><span class="n">time_string</span><span class="p">):</span>
    <span class="n">h</span><span class="p">,</span> <span class="n">m</span><span class="p">,</span> <span class="n">s</span> <span class="o">=</span> <span class="n">time_string</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;:&quot;</span><span class="p">)</span>
    <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">h</span><span class="p">)</span> <span class="o">*</span> <span class="mi">3600</span> <span class="o">+</span> <span class="nb">int</span><span class="p">(</span><span class="n">m</span><span class="p">)</span> <span class="o">*</span> <span class="mi">60</span> <span class="o">+</span> <span class="nb">int</span><span class="p">(</span><span class="n">s</span><span class="p">)</span>

<span class="n">train_time</span><span class="o">=</span><span class="n">train_time</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">func_sec</span><span class="p">)</span>
<span class="n">test_time</span><span class="o">=</span><span class="n">test_time</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">func_sec</span><span class="p">)</span>

<span class="n">train_df</span><span class="p">[</span><span class="s2">&quot;duration&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">train_time</span>
<span class="n">test_df</span><span class="p">[</span><span class="s2">&quot;duration&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">test_time</span>
<span class="c1"># train_df.head()</span>
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<h3 id="4.3.3.3.-Convert-'date'-to-'year'-format-in-'published'-column">4.3.3.3. Convert 'date' to 'year' format in 'published' column<a class="anchor-link" href="#4.3.3.3.-Convert-'date'-to-'year'-format-in-'published'-column">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">train_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">year</span>
<span class="n">test_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">test_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">year</span>

<span class="c1"># convert to numerical feature</span>
<span class="n">train_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
<span class="n">test_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_df</span><span class="p">[</span><span class="s1">&#39;published&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;int&#39;</span><span class="p">)</span>
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      <th>vidid</th>
      <th>adview</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
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      <th>0</th>
      <td>VID_18655</td>
      <td>40</td>
      <td>1031602</td>
      <td>8523</td>
      <td>363</td>
      <td>1095</td>
      <td>2016</td>
      <td>457</td>
      <td>F</td>
    </tr>
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      <th>1</th>
      <td>VID_14135</td>
      <td>2</td>
      <td>1707</td>
      <td>56</td>
      <td>2</td>
      <td>6</td>
      <td>2016</td>
      <td>570</td>
      <td>D</td>
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    <tr>
      <th>2</th>
      <td>VID_2187</td>
      <td>1</td>
      <td>2023</td>
      <td>25</td>
      <td>0</td>
      <td>2</td>
      <td>2016</td>
      <td>136</td>
      <td>C</td>
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      <th>3</th>
      <td>VID_23096</td>
      <td>6</td>
      <td>620860</td>
      <td>777</td>
      <td>161</td>
      <td>153</td>
      <td>2016</td>
      <td>262</td>
      <td>H</td>
    </tr>
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      <th>4</th>
      <td>VID_10175</td>
      <td>1</td>
      <td>666</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>2016</td>
      <td>31</td>
      <td>D</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">numerical_features</span> <span class="o">=</span> <span class="p">[</span><span class="n">col</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">train_df</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">dtypes</span> <span class="o">!=</span> <span class="s1">&#39;O&#39;</span><span class="p">]</span>
<span class="n">discrete_features</span> <span class="o">=</span> <span class="p">[</span><span class="n">col</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">numerical_features</span> <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">unique</span><span class="p">())</span> <span class="o">&lt;</span> <span class="mi">10</span> <span class="ow">and</span> <span class="n">col</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;vidid&#39;</span><span class="p">]]</span>
<span class="n">continuous_features</span> <span class="o">=</span> <span class="p">[</span><span class="n">feature</span> <span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">numerical_features</span> <span class="k">if</span> <span class="n">feature</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">discrete_features</span><span class="o">+</span><span class="p">[</span><span class="s1">&#39;vidid&#39;</span><span class="p">]]</span>
<span class="n">categorical_features</span> <span class="o">=</span> <span class="p">[</span><span class="n">col</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">train_df</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="n">train_df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="s1">&#39;O&#39;</span><span class="p">]</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Total Number of Numerical Columns : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">numerical_features</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of discrete features : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">discrete_features</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;No of continuous features are : &quot;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">continuous_features</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of categorical features : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">categorical_features</span><span class="p">))</span>
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<pre>Total Number of Numerical Columns :  7
Number of discrete features :  0
No of continuous features are :  7
Number of categorical features :  2
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<h3 id="4.3.3.4.-Concat-Train-and-Test-datasets">4.3.3.4. Concat Train and Test datasets<a class="anchor-link" href="#4.3.3.4.-Concat-Train-and-Test-datasets">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># combined train and test datasets</span>
<span class="n">combined_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">train_df</span><span class="p">,</span><span class="n">test_df</span><span class="p">],</span><span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>

<span class="n">combined_df</span><span class="p">[</span><span class="s2">&quot;Label&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;test&quot;</span>
<span class="n">combined_df</span><span class="p">[</span><span class="s2">&quot;Label&quot;</span><span class="p">][:</span><span class="mi">14999</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;train&quot;</span>
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<h3 id="4.3.4.-Distribution-Comparison---Continuous">4.3.4. Distribution Comparison - Continuous<a class="anchor-link" href="#4.3.4.-Distribution-Comparison---Continuous">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">continuous_features</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">,</span> <span class="s1">&#39;comment&#39;</span><span class="p">,</span> <span class="s1">&#39;likes&#39;</span><span class="p">,</span> <span class="s1">&#39;dislikes&#39;</span><span class="p">,</span><span class="s1">&#39;published&#39;</span><span class="p">,</span> <span class="s1">&#39;duration&#39;</span><span class="p">]</span>
<span class="n">pos</span> <span class="o">=</span> <span class="mi">1</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">feature</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">continuous_features</span><span class="p">):</span>
  <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span> <span class="p">,</span> <span class="mi">3</span> <span class="p">,</span> <span class="n">pos</span><span class="p">)</span>
  <span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">test_df</span><span class="p">[</span><span class="n">feature</span><span class="p">],</span> <span class="n">hist</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">kde</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">kde_kws</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;linewidth&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">},</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;r&#39;</span> <span class="p">)</span>
  <span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train_df</span><span class="p">[</span><span class="n">feature</span><span class="p">],</span> <span class="n">hist</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">kde</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">kde_kws</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;linewidth&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">}</span> <span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;b&#39;</span><span class="p">)</span>
  <span class="n">pos</span> <span class="o">=</span> <span class="n">pos</span> <span class="o">+</span> <span class="mi">1</span>
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<p>Above distribution shows that:</p>
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<li>The distribution of train and test data are similar for most continous features.</li>
<li>All distributions are not <strong>normally distributed</strong>.</li>
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<h3 id="4.3.5.-Linearity-Check">4.3.5. Linearity Check<a class="anchor-link" href="#4.3.5.-Linearity-Check">&#182;</a></h3><p>Here we'll see the linearity between all features and the target variable.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">pos</span> <span class="o">=</span> <span class="mi">1</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">feature</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">continuous_features</span><span class="p">):</span>
  <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span> <span class="p">,</span> <span class="mi">3</span> <span class="p">,</span> <span class="n">pos</span><span class="p">)</span>
  <span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">combined_df</span><span class="p">,</span> <span class="n">x</span> <span class="o">=</span> <span class="n">feature</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span> <span class="s2">&quot;adview&quot;</span><span class="p">)</span>
  <span class="n">pos</span> <span class="o">=</span> <span class="n">pos</span> <span class="o">+</span> <span class="mi">1</span>
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<h3 id="4.3.6.-Distribution-Comparison---Categorical">4.3.6. Distribution Comparison - Categorical<a class="anchor-link" href="#4.3.6.-Distribution-Comparison---Categorical">&#182;</a></h3><ul>
<li>There are two categorical features. These are <strong>"category", "vidid"</strong>.</li>
<li><strong>"vidid"</strong> is the id of video. So it has no impact to target variable.</li>
<li>So we'll only check the distribution of <strong>"category"</strong> column.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">30</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">countplot</span><span class="p">(</span><span class="n">data</span> <span class="o">=</span> <span class="n">combined_df</span><span class="p">,</span> <span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;category&#39;</span><span class="p">,</span> <span class="n">hue</span><span class="o">=</span><span class="s2">&quot;Label&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb972109910&gt;</pre>
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<p>Above distribution shows that:</p>
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<li>The distribution of train and test data are similar for most categorical features.</li>
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<h3 id="4.3.7.-Distribution---Target-Variable">4.3.7. Distribution - Target Variable<a class="anchor-link" href="#4.3.7.-Distribution---Target-Variable">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[82]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train_df</span><span class="p">[</span><span class="s2">&quot;adview&quot;</span><span class="p">],</span> <span class="n">hist</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">kde</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">kde_kws</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;linewidth&#39;</span><span class="p">:</span> <span class="mi">3</span><span class="p">}</span> <span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;b&#39;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[82]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb97219eed0&gt;</pre>
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<h3 id="4.3.8.-Data-Correlation">4.3.8. Data Correlation<a class="anchor-link" href="#4.3.8.-Data-Correlation">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">training_corr</span> <span class="o">=</span> <span class="n">train_df</span><span class="o">.</span><span class="n">corr</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;spearman&#39;</span><span class="p">)</span> 
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">10</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">training_corr</span><span class="p">,</span><span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;YlGnBu&quot;</span><span class="p">,</span> <span class="n">linewidths</span><span class="o">=.</span><span class="mi">5</span><span class="p">)</span> 
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb96e46ae50&gt;</pre>
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<h1 id="5.-Feature-Engineering"><strong>5. Feature Engineering</strong><a class="anchor-link" href="#5.-Feature-Engineering">&#182;</a></h1>
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<h3 id="5.1.-Drop-Columns">5.1. Drop Columns<a class="anchor-link" href="#5.1.-Drop-Columns">&#182;</a></h3><p>Here we'll drop unnecessary columns</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">drop_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;vidid&quot;</span><span class="p">,</span><span class="s1">&#39;Label&#39;</span><span class="p">,</span><span class="s1">&#39;published&#39;</span><span class="p">,</span><span class="s1">&#39;duration&#39;</span><span class="p">]</span>

<span class="c1">#  Drop columns</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of columns before dropping : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">combined_df</span><span class="o">.</span><span class="n">columns</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of dropping columns : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">drop_columns</span><span class="p">))</span>
<span class="n">combined_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">drop_columns</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">errors</span><span class="o">=</span><span class="s1">&#39;ignore&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of columns after dropping : &quot;</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">combined_df</span><span class="o">.</span><span class="n">columns</span><span class="p">))</span>
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<pre>Number of columns before dropping :  10
Number of dropping columns :  4
Number of columns after dropping :  6
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<h3 id="5.2.-Apply-PowerTransformer-to-columns">5.2. Apply PowerTransformer to columns<a class="anchor-link" href="#5.2.-Apply-PowerTransformer-to-columns">&#182;</a></h3><ul>
<li>We saw in distribution of continuous features that some features are not linear towards target feature. So we need to transform this. </li>
<li>Lets check the skewness of these distributions</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># check the skew of all numerical features</span>
<span class="n">skew_check_col</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;views&#39;</span><span class="p">,</span><span class="s1">&#39;likes&#39;</span><span class="p">,</span><span class="s1">&#39;dislikes&#39;</span><span class="p">,</span><span class="s1">&#39;comment&#39;</span><span class="p">]</span>
<span class="n">skewed_feats</span> <span class="o">=</span> <span class="n">combined_df</span><span class="p">[</span><span class="n">skew_check_col</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span> <span class="p">:</span> <span class="n">skew</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">dropna</span><span class="p">()))</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">ascending</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1"> Skew in numberical features: </span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
<span class="n">skewness_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;Skew&#39;</span> <span class="p">:</span> <span class="n">skewed_feats</span><span class="p">})</span>
<span class="nb">print</span><span class="p">(</span><span class="n">skewness_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">7</span><span class="p">))</span>
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<pre>
 Skew in numberical features: 

               Skew
views     29.926939
comment   18.761969
dislikes  18.269315
likes     11.914098
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">skew_check_col</span><span class="p">:</span>
  <span class="n">power</span> <span class="o">=</span> <span class="n">PowerTransformer</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;yeo-johnson&#39;</span><span class="p">,</span> <span class="n">standardize</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
  <span class="n">combined_df</span><span class="p">[[</span><span class="n">col</span><span class="p">]]</span> <span class="o">=</span> <span class="n">power</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">combined_df</span><span class="p">[[</span><span class="n">col</span><span class="p">]])</span> <span class="c1"># fit with combined_data to avoid overfitting with training data</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Number of skewed numerical features got transform : &#39;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">skew_check_col</span><span class="p">))</span>
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<pre>Number of skewed numerical features got transform :  4
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<h3 id="5.7.-Encoding-Categorical-Features">5.7. Encoding Categorical Features<a class="anchor-link" href="#5.7.-Encoding-Categorical-Features">&#182;</a></h3><h3 id="Get-Dummies">Get-Dummies<a class="anchor-link" href="#Get-Dummies">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Generate one-hot dummy columns</span>
<span class="n">combined_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">combined_df</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">combined_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
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    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>adview</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>category_A</th>
      <th>category_B</th>
      <th>category_C</th>
      <th>category_D</th>
      <th>category_E</th>
      <th>category_F</th>
      <th>category_G</th>
      <th>category_H</th>
    </tr>
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    <tr>
      <th>0</th>
      <td>40.0</td>
      <td>1.000244</td>
      <td>1.441680</td>
      <td>1.103359</td>
      <td>1.398827</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2.0</td>
      <td>-1.693941</td>
      <td>-0.819659</td>
      <td>-1.200594</td>
      <td>-0.781064</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1.0</td>
      <td>-1.641413</td>
      <td>-1.119185</td>
      <td>-1.747128</td>
      <td>-1.168045</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
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    <tr>
      <th>3</th>
      <td>6.0</td>
      <td>0.722749</td>
      <td>0.280058</td>
      <td>0.723964</td>
      <td>0.577704</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1.0</td>
      <td>-1.970231</td>
      <td>-2.009511</td>
      <td>-1.747128</td>
      <td>-1.679421</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train_data</span> <span class="o">=</span> <span class="n">combined_df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="nb">len</span><span class="p">(</span><span class="n">train_df</span><span class="p">),</span> <span class="p">:]</span>
<span class="n">new_test_data</span> <span class="o">=</span> <span class="n">combined_df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">train_df</span><span class="p">):,</span> <span class="p">:]</span>
<span class="n">X_train</span> <span class="o">=</span> <span class="n">new_train_data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;adview&#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="n">y_train</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">log1p</span><span class="p">(</span><span class="n">new_train_data</span><span class="p">[</span><span class="s1">&#39;adview&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">ravel</span><span class="p">())</span>
<span class="n">X_test</span> <span class="o">=</span> <span class="n">new_test_data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;adview&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Make Pipeline</span>
<span class="n">pre_precessing_pipeline</span> <span class="o">=</span> <span class="n">make_pipeline</span><span class="p">(</span><span class="n">RobustScaler</span><span class="p">())</span>

<span class="n">X_train</span> <span class="o">=</span> <span class="n">pre_precessing_pipeline</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">X_train</span><span class="p">)</span>
<span class="n">X_test</span> <span class="o">=</span> <span class="n">pre_precessing_pipeline</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(14999, 12)
(8764, 12)
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<h1 id="6.-Model-Development"><strong>6. Model Development</strong><a class="anchor-link" href="#6.-Model-Development">&#182;</a></h1>
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<h3 id="6.2.-Hyperparameter-Tuning-using-Optuna">6.2. Hyperparameter Tuning using Optuna<a class="anchor-link" href="#6.2.-Hyperparameter-Tuning-using-Optuna">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">RANDOM_SEED</span> <span class="o">=</span> <span class="mi">23</span>

<span class="c1"># 10-fold CV</span>
<span class="n">kfolds</span> <span class="o">=</span> <span class="n">KFold</span><span class="p">(</span><span class="n">n_splits</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">tune</span><span class="p">(</span><span class="n">objective</span><span class="p">):</span>
    <span class="n">study</span> <span class="o">=</span> <span class="n">optuna</span><span class="o">.</span><span class="n">create_study</span><span class="p">(</span><span class="n">direction</span><span class="o">=</span><span class="s2">&quot;maximize&quot;</span><span class="p">)</span>
    <span class="n">study</span><span class="o">.</span><span class="n">optimize</span><span class="p">(</span><span class="n">objective</span><span class="p">,</span> <span class="n">n_trials</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>

    <span class="n">params</span> <span class="o">=</span> <span class="n">study</span><span class="o">.</span><span class="n">best_params</span>
    <span class="n">best_score</span> <span class="o">=</span> <span class="n">study</span><span class="o">.</span><span class="n">best_value</span>
    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Best score: </span><span class="si">{</span><span class="n">best_score</span><span class="si">}</span><span class="s2"> </span><span class="se">\n</span><span class="s2">Optimized parameters: </span><span class="si">{</span><span class="n">params</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">params</span>
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<h3 id="6.3.-Ridge-Regression">6.3. Ridge Regression<a class="anchor-link" href="#6.3.-Ridge-Regression">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">ridge_objective</span><span class="p">(</span><span class="n">trial</span><span class="p">):</span>

    <span class="n">_alpha</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;alpha&quot;</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>

    <span class="n">ridge</span> <span class="o">=</span> <span class="n">Ridge</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">_alpha</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">)</span>

    <span class="n">score</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
        <span class="n">ridge</span><span class="p">,</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_root_mean_squared_error&quot;</span>
    <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">score</span>

<span class="c1"># ridge_params = tune(ridge_objective)</span>


<span class="c1"># Best score: -1.898690687982798 </span>
<span class="n">ridge_params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">19.99855836300504</span><span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ridge</span> <span class="o">=</span> <span class="n">Ridge</span><span class="p">(</span><span class="o">**</span><span class="n">ridge_params</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">)</span>
<span class="n">ridge</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>Ridge(alpha=19.99855836300504, copy_X=True, fit_intercept=True, max_iter=None,
      normalize=False, random_state=23, solver=&#39;auto&#39;, tol=0.001)</pre>
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<h3 id="6.4.-Lasso-Regression">6.4. Lasso Regression<a class="anchor-link" href="#6.4.-Lasso-Regression">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">lasso_objective</span><span class="p">(</span><span class="n">trial</span><span class="p">):</span>

    <span class="n">_alpha</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;alpha&quot;</span><span class="p">,</span> <span class="mf">0.0001</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>

    <span class="n">lasso</span> <span class="o">=</span> <span class="n">Lasso</span><span class="p">(</span><span class="n">alpha</span><span class="o">=</span><span class="n">_alpha</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">)</span>

    <span class="n">score</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
        <span class="n">lasso</span><span class="p">,</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_root_mean_squared_error&quot;</span>
    <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">score</span>


<span class="c1"># lasso_params = tune(lasso_objective)</span>

<span class="c1"># Best score: -1.8987548559962844 </span>
<span class="n">lasso_params</span> <span class="o">=</span>  <span class="p">{</span><span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.0009661425571276957</span><span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lasso</span> <span class="o">=</span> <span class="n">Lasso</span><span class="p">(</span><span class="o">**</span><span class="n">lasso_params</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">)</span>
<span class="n">lasso</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>Lasso(alpha=0.0009661425571276957, copy_X=True, fit_intercept=True,
      max_iter=1000, normalize=False, positive=False, precompute=False,
      random_state=23, selection=&#39;cyclic&#39;, tol=0.0001, warm_start=False)</pre>
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<h3 id="6.5.-Gradient-Boosting-Regressor">6.5. Gradient Boosting Regressor<a class="anchor-link" href="#6.5.-Gradient-Boosting-Regressor">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">gbr_objective</span><span class="p">(</span><span class="n">trial</span><span class="p">):</span>
    <span class="n">_n_estimators</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;n_estimators&quot;</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">2000</span><span class="p">)</span>
    <span class="n">_learning_rate</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;learning_rate&quot;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">_max_depth</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;max_depth&quot;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
    <span class="n">_min_samp_split</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;min_samples_split&quot;</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
    <span class="n">_min_samples_leaf</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;min_samples_leaf&quot;</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
    <span class="n">_max_features</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;max_features&quot;</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">50</span><span class="p">)</span>

    <span class="n">gbr</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span>
        <span class="n">n_estimators</span><span class="o">=</span><span class="n">_n_estimators</span><span class="p">,</span>
        <span class="n">learning_rate</span><span class="o">=</span><span class="n">_learning_rate</span><span class="p">,</span>
        <span class="n">max_depth</span><span class="o">=</span><span class="n">_max_depth</span><span class="p">,</span> 
        <span class="n">max_features</span><span class="o">=</span><span class="n">_max_features</span><span class="p">,</span>
        <span class="n">min_samples_leaf</span><span class="o">=</span><span class="n">_min_samples_leaf</span><span class="p">,</span>
        <span class="n">min_samples_split</span><span class="o">=</span><span class="n">_min_samp_split</span><span class="p">,</span>
        
        <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span>
    <span class="p">)</span>

    <span class="n">score</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
        <span class="n">gbr</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_root_mean_squared_error&quot;</span>
    <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">score</span>

<span class="c1"># gbr_params = tune(gbr_objective)</span>

<span class="c1"># Best score: -1.8222372332051289 </span>
<span class="n">gbr_params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;n_estimators&#39;</span><span class="p">:</span> <span class="mi">1396</span><span class="p">,</span> <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="mf">0.014373145732630006</span><span class="p">,</span> <span class="s1">&#39;max_depth&#39;</span><span class="p">:</span> <span class="mi">6</span><span class="p">,</span> <span class="s1">&#39;min_samples_split&#39;</span><span class="p">:</span> <span class="mi">6</span><span class="p">,</span> <span class="s1">&#39;min_samples_leaf&#39;</span><span class="p">:</span> <span class="mi">7</span><span class="p">,</span> <span class="s1">&#39;max_features&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gbr</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span> <span class="o">**</span><span class="n">gbr_params</span><span class="p">)</span>
<span class="n">gbr</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion=&#39;friedman_mse&#39;,
                          init=None, learning_rate=0.014373145732630006,
                          loss=&#39;ls&#39;, max_depth=6, max_features=10,
                          max_leaf_nodes=None, min_impurity_decrease=0.0,
                          min_impurity_split=None, min_samples_leaf=7,
                          min_samples_split=6, min_weight_fraction_leaf=0.0,
                          n_estimators=1396, n_iter_no_change=None,
                          presort=&#39;deprecated&#39;, random_state=23, subsample=1.0,
                          tol=0.0001, validation_fraction=0.1, verbose=0,
                          warm_start=False)</pre>
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<h3 id="6.6.-XGBRegressor">6.6. XGBRegressor<a class="anchor-link" href="#6.6.-XGBRegressor">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">xgb_objective</span><span class="p">(</span><span class="n">trial</span><span class="p">):</span>
    <span class="n">_n_estimators</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;n_estimators&quot;</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">2000</span><span class="p">)</span>
    <span class="n">_max_depth</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;max_depth&quot;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
    <span class="n">_learning_rate</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;learning_rate&quot;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">_gamma</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;gamma&quot;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">_min_child_weight</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;min_child_weight&quot;</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    <span class="n">_subsample</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;subsample&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">_reg_alpha</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;reg_alpha&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    <span class="n">_reg_lambda</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;reg_lambda&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>

    
    <span class="n">xgbr</span> <span class="o">=</span> <span class="n">xgb</span><span class="o">.</span><span class="n">XGBRegressor</span><span class="p">(</span>
        <span class="n">n_estimators</span><span class="o">=</span><span class="n">_n_estimators</span><span class="p">,</span>
        <span class="n">max_depth</span><span class="o">=</span><span class="n">_max_depth</span><span class="p">,</span> 
        <span class="n">learning_rate</span><span class="o">=</span><span class="n">_learning_rate</span><span class="p">,</span>
        <span class="n">gamma</span><span class="o">=</span><span class="n">_gamma</span><span class="p">,</span>
        <span class="n">min_child_weight</span><span class="o">=</span><span class="n">_min_child_weight</span><span class="p">,</span>
        <span class="n">subsample</span><span class="o">=</span><span class="n">_subsample</span><span class="p">,</span>
        <span class="n">reg_alpha</span><span class="o">=</span><span class="n">_reg_alpha</span><span class="p">,</span>
        <span class="n">reg_lambda</span><span class="o">=</span><span class="n">_reg_lambda</span><span class="p">,</span>
        <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span>
    <span class="p">)</span>
    

    <span class="n">score</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
        <span class="n">xgbr</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_root_mean_squared_error&quot;</span>
    <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">score</span>


<span class="c1"># xgb_params = tune(xgb_objective)</span>

<span class="n">xgb_params</span> <span class="o">=</span>  <span class="p">{</span><span class="s1">&#39;n_estimators&#39;</span><span class="p">:</span> <span class="mi">75</span><span class="p">,</span> <span class="s1">&#39;max_depth&#39;</span><span class="p">:</span> <span class="mi">4</span><span class="p">,</span> <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="mf">0.27059503805300894</span><span class="p">,</span> <span class="s1">&#39;gamma&#39;</span><span class="p">:</span> <span class="mf">0.6375378736305962</span><span class="p">,</span> <span class="s1">&#39;min_child_weight&#39;</span><span class="p">:</span> <span class="mf">3.2347222003450633</span><span class="p">,</span> <span class="s1">&#39;subsample&#39;</span><span class="p">:</span> <span class="mf">0.8792064649951686</span><span class="p">,</span> <span class="s1">&#39;reg_alpha&#39;</span><span class="p">:</span> <span class="mf">8.764034303437914</span><span class="p">,</span> <span class="s1">&#39;reg_lambda&#39;</span><span class="p">:</span> <span class="mf">7.475836220328881</span><span class="p">}</span>
<span class="c1"># Best score : -1.8258592810003325.</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">xgbr</span> <span class="o">=</span> <span class="n">xgb</span><span class="o">.</span><span class="n">XGBRegressor</span><span class="p">(</span><span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span> <span class="o">**</span><span class="n">xgb_params</span><span class="p">)</span>
<span class="n">xgbr</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>[16:30:54] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
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<pre>XGBRegressor(base_score=0.5, booster=&#39;gbtree&#39;, colsample_bylevel=1,
             colsample_bynode=1, colsample_bytree=1, gamma=0.6375378736305962,
             importance_type=&#39;gain&#39;, learning_rate=0.27059503805300894,
             max_delta_step=0, max_depth=4, min_child_weight=3.2347222003450633,
             missing=None, n_estimators=75, n_jobs=1, nthread=None,
             objective=&#39;reg:linear&#39;, random_state=23,
             reg_alpha=8.764034303437914, reg_lambda=7.475836220328881,
             scale_pos_weight=1, seed=None, silent=None,
             subsample=0.8792064649951686, verbosity=1)</pre>
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<h3 id="6.7.-LGBMRegressor">6.7. LGBMRegressor<a class="anchor-link" href="#6.7.-LGBMRegressor">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">lightgbm</span> <span class="k">as</span> <span class="nn">lgb</span>

<span class="k">def</span> <span class="nf">lgb_objective</span><span class="p">(</span><span class="n">trial</span><span class="p">):</span>
    <span class="n">_num_leaves</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;num_leaves&quot;</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
    <span class="n">_max_depth</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;max_depth&quot;</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
    <span class="n">_learning_rate</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;learning_rate&quot;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">_n_estimators</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_int</span><span class="p">(</span><span class="s2">&quot;n_estimators&quot;</span><span class="p">,</span> <span class="mi">50</span><span class="p">,</span> <span class="mi">2000</span><span class="p">)</span>
    <span class="n">_min_child_weight</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s2">&quot;min_child_weight&quot;</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    <span class="n">_reg_alpha</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;reg_alpha&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    <span class="n">_reg_lambda</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;reg_lambda&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
    <span class="n">_subsample</span> <span class="o">=</span> <span class="n">trial</span><span class="o">.</span><span class="n">suggest_float</span><span class="p">(</span><span class="s1">&#39;subsample&#39;</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>


    <span class="n">lgbr</span> <span class="o">=</span> <span class="n">lgb</span><span class="o">.</span><span class="n">LGBMRegressor</span><span class="p">(</span><span class="n">objective</span><span class="o">=</span><span class="s1">&#39;regression&#39;</span><span class="p">,</span>
                             <span class="n">num_leaves</span><span class="o">=</span><span class="n">_num_leaves</span><span class="p">,</span>
                             <span class="n">max_depth</span><span class="o">=</span><span class="n">_max_depth</span><span class="p">,</span>
                             <span class="n">learning_rate</span><span class="o">=</span><span class="n">_learning_rate</span><span class="p">,</span>
                             <span class="n">n_estimators</span><span class="o">=</span><span class="n">_n_estimators</span><span class="p">,</span>
                             <span class="n">min_child_weight</span><span class="o">=</span><span class="n">_min_child_weight</span><span class="p">,</span>
                             <span class="n">subsample</span><span class="o">=</span><span class="n">_subsample</span><span class="p">,</span>
                             <span class="n">reg_alpha</span><span class="o">=</span><span class="n">_reg_alpha</span><span class="p">,</span>
                             <span class="n">reg_lambda</span><span class="o">=</span><span class="n">_reg_lambda</span><span class="p">,</span>
                             <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span>
    <span class="p">)</span>
    

    <span class="n">score</span> <span class="o">=</span> <span class="n">cross_val_score</span><span class="p">(</span>
        <span class="n">lgbr</span><span class="p">,</span> <span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">,</span> <span class="n">scoring</span><span class="o">=</span><span class="s2">&quot;neg_root_mean_squared_error&quot;</span>
    <span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">score</span>


<span class="c1"># lgb_params = tune(lgb_objective)</span>

<span class="c1"># Best score: -1.824529794158143 </span>
<span class="n">lgb_params</span> <span class="o">=</span>  <span class="p">{</span><span class="s1">&#39;num_leaves&#39;</span><span class="p">:</span> <span class="mi">84</span><span class="p">,</span> <span class="s1">&#39;max_depth&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">,</span> <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="mf">0.011076909667786489</span><span class="p">,</span> <span class="s1">&#39;n_estimators&#39;</span><span class="p">:</span> <span class="mi">727</span><span class="p">,</span> <span class="s1">&#39;min_child_weight&#39;</span><span class="p">:</span> <span class="mf">4.921109754366219</span><span class="p">,</span> <span class="s1">&#39;reg_alpha&#39;</span><span class="p">:</span> <span class="mf">4.370797996109474</span><span class="p">,</span> <span class="s1">&#39;reg_lambda&#39;</span><span class="p">:</span> <span class="mf">8.552921079737136</span><span class="p">,</span> <span class="s1">&#39;subsample&#39;</span><span class="p">:</span> <span class="mf">0.4411906869457217</span><span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lgbr</span> <span class="o">=</span> <span class="n">lgb</span><span class="o">.</span><span class="n">LGBMRegressor</span><span class="p">(</span><span class="n">objective</span><span class="o">=</span><span class="s1">&#39;regression&#39;</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">RANDOM_SEED</span><span class="p">,</span> <span class="o">**</span><span class="n">lgb_params</span><span class="p">)</span>
<span class="n">lgbr</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>LGBMRegressor(boosting_type=&#39;gbdt&#39;, class_weight=None, colsample_bytree=1.0,
              importance_type=&#39;split&#39;, learning_rate=0.011076909667786489,
              max_depth=10, min_child_samples=20,
              min_child_weight=4.921109754366219, min_split_gain=0.0,
              n_estimators=727, n_jobs=-1, num_leaves=84,
              objective=&#39;regression&#39;, random_state=23,
              reg_alpha=4.370797996109474, reg_lambda=8.552921079737136,
              silent=True, subsample=0.4411906869457217,
              subsample_for_bin=200000, subsample_freq=0)</pre>
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<h3 id="6.8.-StackingRegressor">6.8. StackingRegressor<a class="anchor-link" href="#6.8.-StackingRegressor">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># stack models</span>
<span class="n">stack</span> <span class="o">=</span> <span class="n">StackingRegressor</span><span class="p">(</span>
    <span class="n">estimators</span><span class="o">=</span><span class="p">[</span>
        <span class="p">(</span><span class="s1">&#39;ridge&#39;</span><span class="p">,</span> <span class="n">ridge</span><span class="p">),</span>
        <span class="p">(</span><span class="s1">&#39;lasso&#39;</span><span class="p">,</span> <span class="n">lasso</span><span class="p">),</span>
        <span class="p">(</span><span class="s1">&#39;gradientboostingregressor&#39;</span><span class="p">,</span> <span class="n">gbr</span><span class="p">),</span>
        <span class="p">(</span><span class="s1">&#39;xgb&#39;</span><span class="p">,</span> <span class="n">xgbr</span><span class="p">),</span>
        <span class="p">(</span><span class="s1">&#39;lgb&#39;</span><span class="p">,</span> <span class="n">lgbr</span><span class="p">),</span>
        <span class="c1"># (&#39;svr&#39;, svr), # Not using this for now as its score is significantly worse than the others</span>
    <span class="p">],</span>
    <span class="n">cv</span><span class="o">=</span><span class="n">kfolds</span><span class="p">)</span>
<span class="n">stack</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span><span class="n">y_train</span><span class="p">)</span>
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<pre>[16:31:41] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:25] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:26] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:26] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:27] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:28] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:29] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:29] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:30] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:31] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:32] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
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<pre>StackingRegressor(cv=KFold(n_splits=10, random_state=23, shuffle=True),
                  estimators=[(&#39;ridge&#39;,
                               Ridge(alpha=19.99855836300504, copy_X=True,
                                     fit_intercept=True, max_iter=None,
                                     normalize=False, random_state=23,
                                     solver=&#39;auto&#39;, tol=0.001)),
                              (&#39;lasso&#39;,
                               Lasso(alpha=0.0009661425571276957, copy_X=True,
                                     fit_intercept=True, max_iter=1000,
                                     normalize=False, positive=False,
                                     precompu...
                                             max_depth=10, min_child_samples=20,
                                             min_child_weight=4.921109754366219,
                                             min_split_gain=0.0,
                                             n_estimators=727, n_jobs=-1,
                                             num_leaves=84,
                                             objective=&#39;regression&#39;,
                                             random_state=23,
                                             reg_alpha=4.370797996109474,
                                             reg_lambda=8.552921079737136,
                                             silent=True,
                                             subsample=0.4411906869457217,
                                             subsample_for_bin=200000,
                                             subsample_freq=0))],
                  final_estimator=None, n_jobs=None, passthrough=False,
                  verbose=0)</pre>
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<h3 id="6.9.-Save-the-Model">6.9. Save the Model<a class="anchor-link" href="#6.9.-Save-the-Model">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">joblib</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">stack</span><span class="p">,</span> <span class="s2">&quot;prediction_model.pkl&quot;</span><span class="p">)</span>
<span class="n">model</span><span class="o">=</span><span class="n">joblib</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s2">&quot;prediction_model.pkl&quot;</span><span class="p">)</span>
<span class="n">model</span>
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<pre>[16:38:53] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
[16:38:53] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.
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<pre>StackingRegressor(cv=KFold(n_splits=10, random_state=23, shuffle=True),
                  estimators=[(&#39;ridge&#39;,
                               Ridge(alpha=19.99855836300504, copy_X=True,
                                     fit_intercept=True, max_iter=None,
                                     normalize=False, random_state=23,
                                     solver=&#39;auto&#39;, tol=0.001)),
                              (&#39;lasso&#39;,
                               Lasso(alpha=0.0009661425571276957, copy_X=True,
                                     fit_intercept=True, max_iter=1000,
                                     normalize=False, positive=False,
                                     precompu...
                                             max_depth=10, min_child_samples=20,
                                             min_child_weight=4.921109754366219,
                                             min_split_gain=0.0,
                                             n_estimators=727, n_jobs=-1,
                                             num_leaves=84,
                                             objective=&#39;regression&#39;,
                                             random_state=23,
                                             reg_alpha=4.370797996109474,
                                             reg_lambda=8.552921079737136,
                                             silent=True,
                                             subsample=0.4411906869457217,
                                             subsample_for_bin=200000,
                                             subsample_freq=0))],
                  final_estimator=None, n_jobs=None, passthrough=False,
                  verbose=0)</pre>
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<h1 id="7.-Find-Prediction"><strong>7. Find Prediction</strong><a class="anchor-link" href="#7.-Find-Prediction">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Predict submission&#39;</span><span class="p">)</span>
<span class="n">final_test_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;/content/test.csv&quot;</span><span class="p">)</span>

<span class="n">final_test_df</span><span class="p">[</span><span class="s1">&#39;AdView&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">expm1</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">X_test</span><span class="p">)))</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>

<span class="n">final_test_df</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s1">&#39;submission_test.csv&#39;</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
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<pre>Predict submission
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>vidid</th>
      <th>views</th>
      <th>likes</th>
      <th>dislikes</th>
      <th>comment</th>
      <th>published</th>
      <th>duration</th>
      <th>category</th>
      <th>AdView</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>VID_1054</td>
      <td>440238</td>
      <td>6153</td>
      <td>218</td>
      <td>1377</td>
      <td>2017-02-18</td>
      <td>PT7M29S</td>
      <td>B</td>
      <td>6</td>
    </tr>
    <tr>
      <th>1</th>
      <td>VID_18629</td>
      <td>1040132</td>
      <td>8171</td>
      <td>340</td>
      <td>1047</td>
      <td>2016-06-28</td>
      <td>PT6M29S</td>
      <td>F</td>
      <td>4</td>
    </tr>
    <tr>
      <th>2</th>
      <td>VID_13967</td>
      <td>28534</td>
      <td>31</td>
      <td>11</td>
      <td>1</td>
      <td>2014-03-10</td>
      <td>PT37M54S</td>
      <td>D</td>
      <td>3</td>
    </tr>
    <tr>
      <th>3</th>
      <td>VID_19442</td>
      <td>1316715</td>
      <td>2284</td>
      <td>250</td>
      <td>274</td>
      <td>2010-06-05</td>
      <td>PT9M55S</td>
      <td>G</td>
      <td>6</td>
    </tr>
    <tr>
      <th>4</th>
      <td>VID_770</td>
      <td>1893173</td>
      <td>2519</td>
      <td>225</td>
      <td>116</td>
      <td>2016-09-03</td>
      <td>PT3M8S</td>
      <td>B</td>
      <td>6</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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