GenerateTestSummary.html

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

<title>GenerateTestSummary_RishiKhetan</title>

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<style type="text/css">
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
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,
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abbr[title] {
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b,
strong {
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dfn {
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h1 {
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sup {
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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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input[type="submit"] {
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input[type="search"]::-webkit-search-cancel-button,
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fieldset {
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optgroup {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
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.glyphicon-yen:before {
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.glyphicon-jpy:before {
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}
.glyphicon-ruble:before {
  content: "\20bd";
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.glyphicon-rub:before {
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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;
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  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;
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  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 {
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ul.typeahead-list > li > a {
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  white-space: normal;
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ul.typeahead-list  > li > a.pull-right {
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[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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<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

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

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

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
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        // Center justify equations in code and markdown cells. Elsewhere
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        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p><strong>Problem Statement</strong></p>
<p>Simulate 100 users &amp; generate data using randomisation &amp; relevant distributions:</p>
<p>For each user</p>
<p>User may take, on average, 15 to 20 full syllabus tests</p>
<p>User may take, on average, 3 to 5 chapter tests between two full tests (i.e., user should take ~3-5 chapter-wise tests before going for taking another full syllabus test. These chapter tests are essentially chapters where we found that student is weak in couple of chapters after analysing performance from last full syllabus test that he/she has taken.)</p>
<p>Generate a test summary with the following features:
test name (For ex: jee-main-full-syllabus-test-1, jee-main-chapter-test-1, jee-main-full-syllabus-test-2, jee-main-chapter-test-2, etc.)
test taken on (timestamp DD-MM-YYYY H:M:S format)
total questions in the test
total time duration of the test (in minutes)
total max marks of the test
time spent in the test (in minutes)
total attempted
total corrects
total incorrects
marks scored
Upper bounds for each of the test type:
In chapter-test:
total questions: 30
total time duration: 60 minutes
total marks of the test: 120
In full syllabus test:
total questions: 90
total time duration: 180 minutes
total marks of the test: 360
Derive test-on-test score improvement from the 1st test till last test, only on the Valid tests</p>
<p>Criteria for valid test:</p>
<p>at least 25% time spent of the total time duration of the test</p>
<p>at least 25% attempts of total questions in the test</p>
<p>at least 25% marks score of the total max marks in the test</p>
<p>Visualise the above score improvement analysis with relevant charts and/or plots
At user level or across all users
You can do score improvement analysis at test-on-test (i.e., test sequence level)</p>
<p>Finally,
Categorise above simulated 100 users in 3 performance categories with the following criteria:
Achiever: Top 5%tile students with highest accuracy
Performer: Next 25%tile students with accuracy lower than Achievers
Fighter: Rest of all the students with accuracy lower than Performers
Visualise score improvement of each of the above performance categories with relevant charts and/or plots
You can do score improvement analysis at test-on-test (i.e., test sequence level) for each category of users</p>

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<p><strong>Note</strong> :
I have stated most assumptions as comments.</p>

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<p><strong>Test summary</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># assuming that user can retake tests and there is no order of test numbers</span>

<span class="kn">import</span> <span class="nn">random</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">from</span> <span class="nn">datetime</span> <span class="k">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
<span class="kn">from</span> <span class="nn">io</span> <span class="k">import</span> <span class="n">StringIO</span>
<span class="kn">from</span> <span class="nn">csv</span> <span class="k">import</span> <span class="n">writer</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">from</span> <span class="nn">tqdm</span> <span class="k">import</span> <span class="n">tqdm</span>

<span class="n">number_of_users</span> <span class="o">=</span> <span class="mi">100</span>

<span class="n">number_of_full_syllabus_tests_lower</span> <span class="o">=</span> <span class="mi">15</span>
<span class="n">number_of_full_syllabus_tests_upper</span> <span class="o">=</span> <span class="mi">20</span>
<span class="n">number_of_chapter_tests_in_between_lower</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">number_of_chapter_tests_in_between_upper</span> <span class="o">=</span> <span class="mi">5</span>

<span class="n">full_syllabus_test_total_questions</span> <span class="o">=</span> <span class="mi">90</span>
<span class="n">chapter_test_total_questions</span> <span class="o">=</span> <span class="mi">30</span>

<span class="n">full_syllabus_test_total_time_duration</span> <span class="o">=</span> <span class="mi">180</span>
<span class="n">chapter_test_total_time_duration</span> <span class="o">=</span> <span class="mi">60</span>

<span class="n">full_syllabus_test_total_marks</span> <span class="o">=</span> <span class="mi">360</span>
<span class="n">chapter_test_total_marks</span> <span class="o">=</span> <span class="mi">120</span>

<span class="n">date_timestamp_format</span> <span class="o">=</span> <span class="s1">&#39;%m-</span><span class="si">%d</span><span class="s1">-%Y %H:%M:%S&#39;</span>

<span class="n">full_syllabus_test_type_name</span> <span class="o">=</span> <span class="s1">&#39;full_syllabus&#39;</span>
<span class="n">chapter_test_type_name</span> <span class="o">=</span> <span class="s1">&#39;chapter&#39;</span>

<span class="n">full_syllabus_test_name_template</span> <span class="o">=</span> <span class="s1">&#39;jee-main-full-syllabus-test-&#39;</span>
<span class="n">chapter_test_name_template</span> <span class="o">=</span> <span class="s1">&#39;jee-main-chapter-test-&#39;</span>


<span class="n">total_number_of_full_syllabus_tests</span> <span class="o">=</span> <span class="mi">100</span> <span class="c1"># assumed, can be changed</span>
<span class="n">total_number_of_chapter_tests</span> <span class="o">=</span> <span class="mi">100</span> <span class="c1"># assumed, can be changed</span>

<span class="n">default_year</span> <span class="o">=</span> <span class="mi">2019</span> <span class="c1"># assumed, can be changed</span>
<span class="n">default_month</span> <span class="o">=</span> <span class="mi">10</span> <span class="c1"># assumed, can be changed</span>
<span class="n">default_day_of_month</span> <span class="o">=</span> <span class="mi">12</span> <span class="c1"># assumed, can be changed</span>
<span class="n">default_hour</span> <span class="o">=</span> <span class="mi">14</span> <span class="c1"># assumed, can be changed</span>

<span class="n">default_max_interval_between_tests</span> <span class="o">=</span> <span class="mi">300</span> <span class="c1"># 300 mins assumed, can be changed</span>

<span class="n">min_marks_award_per_correct</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># assumed, can be changed</span>
<span class="n">marks_penalty_per_incorrect</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span> <span class="c1"># assumed constant negative marking for any question, can be changed</span>

<span class="n">min_time_spent_per_attempted_question</span> <span class="o">=</span> <span class="mi">1</span> <span class="c1"># assumed to be 1 min, can be changed</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">generate_test_sequence_for_user</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">output</span><span class="p">):</span>
    
    <span class="c1"># random_seed = 42</span>
    <span class="c1"># random.seed(random_seed)</span>
    <span class="n">number_of_full_syllabus_tests</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">number_of_full_syllabus_tests_lower</span><span class="p">,</span><span class="n">number_of_full_syllabus_tests_upper</span><span class="p">)</span> 
    
    <span class="n">first_test_taken_on</span> <span class="o">=</span> <span class="n">datetime</span><span class="p">(</span><span class="n">default_year</span><span class="p">,</span> <span class="n">default_month</span><span class="p">,</span> <span class="n">default_day_of_month</span><span class="p">,</span> <span class="n">default_hour</span><span class="p">)</span> <span class="c1"># assumed, can be changed</span>
    
    <span class="n">test_number</span> <span class="o">=</span> <span class="mi">0</span>
    
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">number_of_full_syllabus_tests</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
        
        <span class="n">test_type</span> <span class="o">=</span> <span class="n">full_syllabus_test_type_name</span>
        <span class="n">test_number_suffix</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">total_number_of_full_syllabus_tests</span><span class="p">)</span>
        <span class="n">test_name</span> <span class="o">=</span> <span class="n">full_syllabus_test_name_template</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_number_suffix</span><span class="p">)</span>
        
        <span class="n">test_number</span> <span class="o">+=</span> <span class="mi">1</span>
        
        <span class="k">if</span><span class="p">(</span><span class="n">i</span> <span class="o">==</span> <span class="mi">1</span><span class="p">):</span>
            <span class="n">test_taken_on</span> <span class="o">=</span> <span class="n">first_test_taken_on</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="n">test_taken_on</span> <span class="o">+=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">test_time_spent</span><span class="p">,</span> <span class="n">default_max_interval_between_tests</span><span class="p">))</span>
        
        <span class="n">test_total_questions</span> <span class="o">=</span> <span class="n">full_syllabus_test_total_questions</span>
        <span class="n">total_attempted</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">test_total_questions</span><span class="p">)</span>
        <span class="n">total_corrects</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">total_attempted</span><span class="p">)</span>
        <span class="n">total_incorrects</span> <span class="o">=</span> <span class="n">total_attempted</span> <span class="o">-</span> <span class="n">total_corrects</span>
        
        <span class="n">test_total_time_duration</span> <span class="o">=</span> <span class="n">full_syllabus_test_total_time_duration</span>
        <span class="n">min_time_spent</span> <span class="o">=</span> <span class="n">total_attempted</span> <span class="o">*</span> <span class="n">min_time_spent_per_attempted_question</span>
        <span class="n">test_time_spent</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">min_time_spent</span><span class="p">,</span> <span class="n">test_total_time_duration</span><span class="p">)</span>
        
        <span class="n">test_total_marks</span> <span class="o">=</span> <span class="n">full_syllabus_test_total_marks</span>
        <span class="n">max_marks_award_per_correct</span> <span class="o">=</span> <span class="n">test_total_marks</span><span class="o">/</span> <span class="n">test_total_questions</span> <span class="c1"># assumed, can be changed</span>
        <span class="n">min_marks_scored</span> <span class="o">=</span> <span class="p">(</span><span class="n">total_corrects</span> <span class="o">*</span> <span class="n">min_marks_award_per_correct</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">total_incorrects</span> <span class="o">*</span> <span class="n">marks_penalty_per_incorrect</span><span class="p">)</span>
        <span class="n">max_marks_scored</span> <span class="o">=</span> <span class="p">(</span><span class="n">total_corrects</span> <span class="o">*</span> <span class="n">max_marks_award_per_correct</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">total_incorrects</span> <span class="o">*</span> <span class="n">marks_penalty_per_incorrect</span><span class="p">)</span>
        <span class="n">marks_scored</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">min_marks_scored</span><span class="p">,</span> <span class="n">max_marks_scored</span><span class="p">)</span>
        
        <span class="n">row</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">user_id</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_number</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_type</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_name</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_taken_on</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="n">date_timestamp_format</span><span class="p">))</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_questions</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_attempted</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_corrects</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_incorrects</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_time_duration</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_time_spent</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_marks</span><span class="p">)</span>
        <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">marks_scored</span><span class="p">)</span>
        <span class="n">csv_writer</span><span class="o">.</span><span class="n">writerow</span><span class="p">(</span><span class="n">row</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="n">number_of_full_syllabus_tests</span><span class="p">):</span>
            <span class="n">number_of_chapter_tests_in_between</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">number_of_chapter_tests_in_between_lower</span><span class="p">,</span><span class="n">number_of_chapter_tests_in_between_upper</span><span class="p">)</span>
            
            <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">number_of_chapter_tests_in_between</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
        
                <span class="n">test_type</span> <span class="o">=</span> <span class="n">chapter_test_type_name</span>
                <span class="n">test_number_suffix</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">total_number_of_chapter_tests</span><span class="p">)</span>
                <span class="n">test_name</span> <span class="o">=</span> <span class="n">chapter_test_name_template</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">test_number_suffix</span><span class="p">)</span>
                
                <span class="n">test_number</span> <span class="o">+=</span> <span class="mi">1</span>

                <span class="n">test_taken_on</span> <span class="o">+=</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">minutes</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">test_time_spent</span><span class="p">,</span> <span class="n">default_max_interval_between_tests</span><span class="p">))</span>

                <span class="n">test_total_questions</span> <span class="o">=</span> <span class="n">chapter_test_total_questions</span>
                <span class="n">total_attempted</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">test_total_questions</span><span class="p">)</span>
                <span class="n">total_corrects</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">total_attempted</span><span class="p">)</span>
                <span class="n">total_incorrects</span> <span class="o">=</span> <span class="n">total_attempted</span> <span class="o">-</span> <span class="n">total_corrects</span>

                <span class="n">test_total_time_duration</span> <span class="o">=</span> <span class="n">chapter_test_total_time_duration</span>
                <span class="n">min_time_spent</span> <span class="o">=</span> <span class="n">total_attempted</span> <span class="o">*</span> <span class="n">min_time_spent_per_attempted_question</span>
                <span class="n">test_time_spent</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">min_time_spent</span><span class="p">,</span> <span class="n">test_total_time_duration</span><span class="p">)</span>

                <span class="n">test_total_marks</span> <span class="o">=</span> <span class="n">chapter_test_total_marks</span>
                <span class="n">max_marks_award_per_correct</span> <span class="o">=</span> <span class="n">test_total_marks</span><span class="o">/</span> <span class="n">test_total_questions</span> <span class="c1"># assumed, can be changed</span>
                <span class="n">min_marks_scored</span> <span class="o">=</span> <span class="p">(</span><span class="n">total_corrects</span> <span class="o">*</span> <span class="n">min_marks_award_per_correct</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">total_incorrects</span> <span class="o">*</span> <span class="n">marks_penalty_per_incorrect</span><span class="p">)</span>
                <span class="n">max_marks_scored</span> <span class="o">=</span> <span class="p">(</span><span class="n">total_corrects</span> <span class="o">*</span> <span class="n">max_marks_award_per_correct</span><span class="p">)</span> <span class="o">+</span> <span class="p">(</span><span class="n">total_incorrects</span> <span class="o">*</span> <span class="n">marks_penalty_per_incorrect</span><span class="p">)</span>
                <span class="n">marks_scored</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="n">min_marks_scored</span><span class="p">,</span> <span class="n">max_marks_scored</span><span class="p">)</span>
                
                <span class="n">row</span> <span class="o">=</span> <span class="p">[]</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">user_id</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_number</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_type</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_name</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_taken_on</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="n">date_timestamp_format</span><span class="p">))</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_questions</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_attempted</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_corrects</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">total_incorrects</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_time_duration</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_time_spent</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_total_marks</span><span class="p">)</span>
                <span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">marks_scored</span><span class="p">)</span>
                <span class="n">csv_writer</span><span class="o">.</span><span class="n">writerow</span><span class="p">(</span><span class="n">row</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">StringIO</span><span class="p">()</span>
<span class="n">csv_writer</span> <span class="o">=</span> <span class="n">writer</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>

<span class="k">for</span> <span class="n">user_id</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">number_of_users</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)):</span>
        <span class="n">generate_test_sequence_for_user</span><span class="p">(</span><span class="n">user_id</span><span class="p">,</span> <span class="n">output</span><span class="p">)</span>
        
<span class="c1"># print(output.getvalue())</span>
<span class="n">output</span><span class="o">.</span><span class="n">seek</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">col_names</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span><span class="s1">&#39;test_type&#39;</span><span class="p">,</span><span class="s1">&#39;test_name&#39;</span><span class="p">,</span><span class="s1">&#39;test_taken_on&#39;</span><span class="p">,</span><span class="s1">&#39;test_total_questions&#39;</span><span class="p">,</span><span class="s1">&#39;total_attempted&#39;</span><span class="p">,</span><span class="s1">&#39;total_corrects&#39;</span><span class="p">,</span><span class="s1">&#39;total_incorrects&#39;</span><span class="p">,</span><span class="s1">&#39;test_total_time_duration&#39;</span><span class="p">,</span><span class="s1">&#39;test_time_spent&#39;</span><span class="p">,</span><span class="s1">&#39;test_total_marks&#39;</span><span class="p">,</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span>
<span class="n">test_summary_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="n">output</span><span class="p">,</span> <span class="n">names</span> <span class="o">=</span> <span class="n">col_names</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>

<span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
<span class="n">elapsed</span> <span class="o">=</span> <span class="n">end</span> <span class="o">-</span> <span class="n">start</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Time taken to generate dataset ::&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">timedelta</span><span class="p">(</span><span class="n">seconds</span><span class="o">=</span><span class="n">elapsed</span><span class="p">)))</span>
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<pre>100%|███████████████████████████████████████████████████████████████████████████████| 100/100 [00:00&lt;00:00, 630.55it/s]
</pre>
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<pre>Time taken to generate dataset ::
0:00:00.185505
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
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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>user_id</th>
      <th>user_test_number</th>
      <th>test_type</th>
      <th>test_name</th>
      <th>test_taken_on</th>
      <th>test_total_questions</th>
      <th>total_attempted</th>
      <th>total_corrects</th>
      <th>total_incorrects</th>
      <th>test_total_time_duration</th>
      <th>test_time_spent</th>
      <th>test_total_marks</th>
      <th>marks_scored</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-26</td>
      <td>10-12-2019 14:00:00</td>
      <td>90</td>
      <td>35</td>
      <td>13</td>
      <td>22</td>
      <td>180</td>
      <td>155</td>
      <td>360</td>
      <td>0</td>
    </tr>
    <tr>
      <td>1</td>
      <td>1</td>
      <td>2</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-46</td>
      <td>10-12-2019 17:57:00</td>
      <td>30</td>
      <td>13</td>
      <td>10</td>
      <td>3</td>
      <td>60</td>
      <td>49</td>
      <td>120</td>
      <td>35</td>
    </tr>
    <tr>
      <td>2</td>
      <td>1</td>
      <td>3</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-25</td>
      <td>10-12-2019 18:58:00</td>
      <td>30</td>
      <td>30</td>
      <td>24</td>
      <td>6</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>24</td>
    </tr>
    <tr>
      <td>3</td>
      <td>1</td>
      <td>4</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-35</td>
      <td>10-12-2019 20:16:00</td>
      <td>30</td>
      <td>9</td>
      <td>7</td>
      <td>2</td>
      <td>60</td>
      <td>30</td>
      <td>120</td>
      <td>13</td>
    </tr>
    <tr>
      <td>4</td>
      <td>1</td>
      <td>5</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-65</td>
      <td>10-12-2019 20:58:00</td>
      <td>30</td>
      <td>27</td>
      <td>8</td>
      <td>19</td>
      <td>60</td>
      <td>39</td>
      <td>120</td>
      <td>12</td>
    </tr>
    <tr>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <td>95</td>
      <td>2</td>
      <td>21</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-85</td>
      <td>10-15-2019 15:18:00</td>
      <td>30</td>
      <td>16</td>
      <td>15</td>
      <td>1</td>
      <td>60</td>
      <td>47</td>
      <td>120</td>
      <td>50</td>
    </tr>
    <tr>
      <td>96</td>
      <td>2</td>
      <td>22</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-27</td>
      <td>10-15-2019 16:17:00</td>
      <td>30</td>
      <td>15</td>
      <td>5</td>
      <td>10</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>-1</td>
    </tr>
    <tr>
      <td>97</td>
      <td>2</td>
      <td>23</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-44</td>
      <td>10-15-2019 17:23:00</td>
      <td>90</td>
      <td>16</td>
      <td>9</td>
      <td>7</td>
      <td>180</td>
      <td>106</td>
      <td>360</td>
      <td>8</td>
    </tr>
    <tr>
      <td>98</td>
      <td>2</td>
      <td>24</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-43</td>
      <td>10-15-2019 22:02:00</td>
      <td>30</td>
      <td>24</td>
      <td>14</td>
      <td>10</td>
      <td>60</td>
      <td>40</td>
      <td>120</td>
      <td>13</td>
    </tr>
    <tr>
      <td>99</td>
      <td>2</td>
      <td>25</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-91</td>
      <td>10-16-2019 00:15:00</td>
      <td>30</td>
      <td>23</td>
      <td>5</td>
      <td>18</td>
      <td>60</td>
      <td>37</td>
      <td>120</td>
      <td>-6</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 13 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_df</span><span class="o">.</span><span class="n">shape</span>
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<pre>(8452, 13)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 8452 entries, 0 to 8451
Data columns (total 13 columns):
user_id                     8452 non-null int64
user_test_number            8452 non-null int64
test_type                   8452 non-null object
test_name                   8452 non-null object
test_taken_on               8452 non-null object
test_total_questions        8452 non-null int64
total_attempted             8452 non-null int64
total_corrects              8452 non-null int64
total_incorrects            8452 non-null int64
test_total_time_duration    8452 non-null int64
test_time_spent             8452 non-null int64
test_total_marks            8452 non-null int64
marks_scored                8452 non-null int64
dtypes: int64(10), object(3)
memory usage: 858.5+ KB
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<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;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_id</th>
      <th>user_test_number</th>
      <th>test_total_questions</th>
      <th>total_attempted</th>
      <th>total_corrects</th>
      <th>total_incorrects</th>
      <th>test_total_time_duration</th>
      <th>test_time_spent</th>
      <th>test_total_marks</th>
      <th>marks_scored</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>count</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
    </tr>
    <tr>
      <td>mean</td>
      <td>50.240890</td>
      <td>43.217345</td>
      <td>42.472788</td>
      <td>21.356720</td>
      <td>10.666469</td>
      <td>10.690251</td>
      <td>84.945575</td>
      <td>53.343469</td>
      <td>169.891150</td>
      <td>16.076668</td>
    </tr>
    <tr>
      <td>std</td>
      <td>28.810233</td>
      <td>25.179210</td>
      <td>24.348860</td>
      <td>18.816804</td>
      <td>12.658475</td>
      <td>12.634636</td>
      <td>48.697719</td>
      <td>38.369381</td>
      <td>97.395439</td>
      <td>35.788414</td>
    </tr>
    <tr>
      <td>min</td>
      <td>1.000000</td>
      <td>1.000000</td>
      <td>30.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>60.000000</td>
      <td>0.000000</td>
      <td>120.000000</td>
      <td>-89.000000</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>25.000000</td>
      <td>22.000000</td>
      <td>30.000000</td>
      <td>9.000000</td>
      <td>2.000000</td>
      <td>2.000000</td>
      <td>60.000000</td>
      <td>30.000000</td>
      <td>120.000000</td>
      <td>-2.000000</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>50.000000</td>
      <td>43.000000</td>
      <td>30.000000</td>
      <td>18.000000</td>
      <td>7.000000</td>
      <td>7.000000</td>
      <td>60.000000</td>
      <td>43.000000</td>
      <td>120.000000</td>
      <td>7.000000</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>75.000000</td>
      <td>64.000000</td>
      <td>30.000000</td>
      <td>27.000000</td>
      <td>15.000000</td>
      <td>14.000000</td>
      <td>60.000000</td>
      <td>57.000000</td>
      <td>120.000000</td>
      <td>27.000000</td>
    </tr>
    <tr>
      <td>max</td>
      <td>100.000000</td>
      <td>102.000000</td>
      <td>90.000000</td>
      <td>90.000000</td>
      <td>87.000000</td>
      <td>89.000000</td>
      <td>180.000000</td>
      <td>180.000000</td>
      <td>360.000000</td>
      <td>314.000000</td>
    </tr>
  </tbody>
</table>
</div>
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<p><strong>Performance Categorization</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">user_avg_marks_scored_full_syllabus_test_df</span> <span class="o">=</span> <span class="n">test_summary_df</span><span class="p">[</span><span class="n">test_summary_df</span><span class="p">[</span><span class="s1">&#39;test_type&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;full_syllabus&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">user_avg_marks_scored_full_syllabus_test_df</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_full_syllabus_test_df</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">})</span>

<span class="n">user_avg_marks_scored_chapter_test_df</span> <span class="o">=</span> <span class="n">test_summary_df</span><span class="p">[</span><span class="n">test_summary_df</span><span class="p">[</span><span class="s1">&#39;test_type&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;chapter&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
<span class="n">user_avg_marks_scored_chapter_test_df</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_chapter_test_df</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">})</span>

<span class="n">user_avg_marks_scored_both_test_types_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">user_avg_marks_scored_full_syllabus_test_df</span><span class="p">,</span> <span class="n">user_avg_marks_scored_chapter_test_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;avg_marks_scored_both_test_types&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">]</span> <span class="o">+</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">]</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">achiever_percentile_lower</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="o">.</span><span class="n">avg_marks_scored_both_test_types</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="mf">0.95</span><span class="p">)</span>
<span class="n">performer_percentile_lower</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="o">.</span><span class="n">avg_marks_scored_both_test_types</span><span class="o">.</span><span class="n">quantile</span><span class="p">(</span><span class="mf">0.70</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">assign_performance</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">x</span> <span class="o">&gt;=</span> <span class="n">achiever_percentile_lower</span><span class="p">:</span>
        <span class="k">return</span> <span class="s1">&#39;Achiever&#39;</span>
    <span class="k">elif</span> <span class="n">x</span> <span class="o">&lt;</span> <span class="n">achiever_percentile_lower</span> <span class="ow">and</span> <span class="n">x</span> <span class="o">&gt;=</span> <span class="n">performer_percentile_lower</span><span class="p">:</span>
        <span class="k">return</span> <span class="s1">&#39;Performer&#39;</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="k">return</span> <span class="s1">&#39;Fighter&#39;</span>

<span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;performance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;avg_marks_scored_both_test_types&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">assign_performance</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
<span class="n">user_avg_marks_scored_both_test_types_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
</pre></div>

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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_id</th>
      <th>full_syllabus_test_avg_marks_scored</th>
      <th>chapter_test_avg_marks_scored</th>
      <th>avg_marks_scored_both_test_types</th>
      <th>performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>1</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>1</td>
      <td>2</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>2</td>
      <td>3</td>
      <td>39.850000</td>
      <td>10.569444</td>
      <td>50.419444</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>3</td>
      <td>4</td>
      <td>18.722222</td>
      <td>11.225352</td>
      <td>29.947574</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>4</td>
      <td>5</td>
      <td>43.250000</td>
      <td>6.926829</td>
      <td>50.176829</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <td>95</td>
      <td>96</td>
      <td>33.684211</td>
      <td>7.608108</td>
      <td>41.292319</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>96</td>
      <td>97</td>
      <td>29.066667</td>
      <td>9.017857</td>
      <td>38.084524</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>97</td>
      <td>98</td>
      <td>31.666667</td>
      <td>12.562500</td>
      <td>44.229167</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>98</td>
      <td>99</td>
      <td>28.650000</td>
      <td>10.534247</td>
      <td>39.184247</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>99</td>
      <td>100</td>
      <td>43.687500</td>
      <td>9.656250</td>
      <td>53.343750</td>
      <td>Performer</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 5 columns</p>
</div>
</div>

</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">[</span><span class="s1">&#39;performance&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
</pre></div>

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<pre>Fighter      70
Performer    25
Achiever      5
Name: performance, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_categorized_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">test_summary_df</span><span class="p">,</span> <span class="n">user_avg_marks_scored_both_test_types_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
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<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>user_id</th>
      <th>user_test_number</th>
      <th>test_type</th>
      <th>test_name</th>
      <th>test_taken_on</th>
      <th>test_total_questions</th>
      <th>total_attempted</th>
      <th>total_corrects</th>
      <th>total_incorrects</th>
      <th>test_total_time_duration</th>
      <th>test_time_spent</th>
      <th>test_total_marks</th>
      <th>marks_scored</th>
      <th>full_syllabus_test_avg_marks_scored</th>
      <th>chapter_test_avg_marks_scored</th>
      <th>avg_marks_scored_both_test_types</th>
      <th>performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-26</td>
      <td>10-12-2019 14:00:00</td>
      <td>90</td>
      <td>35</td>
      <td>13</td>
      <td>22</td>
      <td>180</td>
      <td>155</td>
      <td>360</td>
      <td>0</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>1</td>
      <td>1</td>
      <td>2</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-46</td>
      <td>10-12-2019 17:57:00</td>
      <td>30</td>
      <td>13</td>
      <td>10</td>
      <td>3</td>
      <td>60</td>
      <td>49</td>
      <td>120</td>
      <td>35</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>2</td>
      <td>1</td>
      <td>3</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-25</td>
      <td>10-12-2019 18:58:00</td>
      <td>30</td>
      <td>30</td>
      <td>24</td>
      <td>6</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>24</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>3</td>
      <td>1</td>
      <td>4</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-35</td>
      <td>10-12-2019 20:16:00</td>
      <td>30</td>
      <td>9</td>
      <td>7</td>
      <td>2</td>
      <td>60</td>
      <td>30</td>
      <td>120</td>
      <td>13</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>4</td>
      <td>1</td>
      <td>5</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-65</td>
      <td>10-12-2019 20:58:00</td>
      <td>30</td>
      <td>27</td>
      <td>8</td>
      <td>19</td>
      <td>60</td>
      <td>39</td>
      <td>120</td>
      <td>12</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <td>95</td>
      <td>2</td>
      <td>21</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-85</td>
      <td>10-15-2019 15:18:00</td>
      <td>30</td>
      <td>16</td>
      <td>15</td>
      <td>1</td>
      <td>60</td>
      <td>47</td>
      <td>120</td>
      <td>50</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>96</td>
      <td>2</td>
      <td>22</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-27</td>
      <td>10-15-2019 16:17:00</td>
      <td>30</td>
      <td>15</td>
      <td>5</td>
      <td>10</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>-1</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>97</td>
      <td>2</td>
      <td>23</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-44</td>
      <td>10-15-2019 17:23:00</td>
      <td>90</td>
      <td>16</td>
      <td>9</td>
      <td>7</td>
      <td>180</td>
      <td>106</td>
      <td>360</td>
      <td>8</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>98</td>
      <td>2</td>
      <td>24</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-43</td>
      <td>10-15-2019 22:02:00</td>
      <td>30</td>
      <td>24</td>
      <td>14</td>
      <td>10</td>
      <td>60</td>
      <td>40</td>
      <td>120</td>
      <td>13</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
    <tr>
      <td>99</td>
      <td>2</td>
      <td>25</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-91</td>
      <td>10-16-2019 00:15:00</td>
      <td>30</td>
      <td>23</td>
      <td>5</td>
      <td>18</td>
      <td>60</td>
      <td>37</td>
      <td>120</td>
      <td>-6</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 17 columns</p>
</div>
</div>

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<p><strong>Visualization - test-on-test score-improvement from 1st valid test till last valid test across all users</strong></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">is_test_valid</span><span class="p">(</span><span class="n">test_time_spent</span><span class="p">,</span><span class="n">test_total_time_duration</span><span class="p">,</span><span class="n">total_attempted</span><span class="p">,</span><span class="n">test_total_questions</span><span class="p">,</span><span class="n">marks_scored</span><span class="p">,</span><span class="n">test_total_marks</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">test_time_spent</span> <span class="o">&gt;=</span> <span class="mf">0.25</span> <span class="o">*</span> <span class="n">test_total_time_duration</span><span class="p">:</span>
        <span class="k">if</span> <span class="n">total_attempted</span> <span class="o">&gt;=</span> <span class="mf">0.25</span> <span class="o">*</span> <span class="n">test_total_questions</span><span class="p">:</span>
            <span class="k">if</span> <span class="n">marks_scored</span> <span class="o">&gt;=</span> <span class="mf">0.25</span> <span class="o">*</span> <span class="n">test_total_marks</span><span class="p">:</span>
                <span class="k">return</span> <span class="s2">&quot;Valid&quot;</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="k">return</span> <span class="s2">&quot;Invalid&quot;</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="k">return</span> <span class="s2">&quot;Invalid&quot;</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="k">return</span> <span class="s2">&quot;Invalid&quot;</span>

<span class="nb">print</span><span class="p">(</span><span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span>
    
<span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="s1">&#39;is_test_valid&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_summary_categorized_df</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">is_test_valid</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="s1">&#39;test_time_spent&#39;</span><span class="p">],</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;test_total_time_duration&#39;</span><span class="p">],</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;total_attempted&#39;</span><span class="p">],</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;test_total_questions&#39;</span><span class="p">],</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">],</span> <span class="n">x</span><span class="p">[</span><span class="s1">&#39;test_total_marks&#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">test_summary_categorized_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
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<pre>Index([&#39;user_id&#39;, &#39;user_test_number&#39;, &#39;test_type&#39;, &#39;test_name&#39;,
       &#39;test_taken_on&#39;, &#39;test_total_questions&#39;, &#39;total_attempted&#39;,
       &#39;total_corrects&#39;, &#39;total_incorrects&#39;, &#39;test_total_time_duration&#39;,
       &#39;test_time_spent&#39;, &#39;test_total_marks&#39;, &#39;marks_scored&#39;,
       &#39;full_syllabus_test_avg_marks_scored&#39;, &#39;chapter_test_avg_marks_scored&#39;,
       &#39;avg_marks_scored_both_test_types&#39;, &#39;performance&#39;],
      dtype=&#39;object&#39;)
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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>user_id</th>
      <th>user_test_number</th>
      <th>test_type</th>
      <th>test_name</th>
      <th>test_taken_on</th>
      <th>test_total_questions</th>
      <th>total_attempted</th>
      <th>total_corrects</th>
      <th>total_incorrects</th>
      <th>test_total_time_duration</th>
      <th>test_time_spent</th>
      <th>test_total_marks</th>
      <th>marks_scored</th>
      <th>full_syllabus_test_avg_marks_scored</th>
      <th>chapter_test_avg_marks_scored</th>
      <th>avg_marks_scored_both_test_types</th>
      <th>performance</th>
      <th>is_test_valid</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-26</td>
      <td>10-12-2019 14:00:00</td>
      <td>90</td>
      <td>35</td>
      <td>13</td>
      <td>22</td>
      <td>180</td>
      <td>155</td>
      <td>360</td>
      <td>0</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>1</td>
      <td>1</td>
      <td>2</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-46</td>
      <td>10-12-2019 17:57:00</td>
      <td>30</td>
      <td>13</td>
      <td>10</td>
      <td>3</td>
      <td>60</td>
      <td>49</td>
      <td>120</td>
      <td>35</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
      <td>Valid</td>
    </tr>
    <tr>
      <td>2</td>
      <td>1</td>
      <td>3</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-25</td>
      <td>10-12-2019 18:58:00</td>
      <td>30</td>
      <td>30</td>
      <td>24</td>
      <td>6</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>24</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>3</td>
      <td>1</td>
      <td>4</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-35</td>
      <td>10-12-2019 20:16:00</td>
      <td>30</td>
      <td>9</td>
      <td>7</td>
      <td>2</td>
      <td>60</td>
      <td>30</td>
      <td>120</td>
      <td>13</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>4</td>
      <td>1</td>
      <td>5</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-65</td>
      <td>10-12-2019 20:58:00</td>
      <td>30</td>
      <td>27</td>
      <td>8</td>
      <td>19</td>
      <td>60</td>
      <td>39</td>
      <td>120</td>
      <td>12</td>
      <td>33.733333</td>
      <td>12.466667</td>
      <td>46.200000</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
      <td>...</td>
    </tr>
    <tr>
      <td>95</td>
      <td>2</td>
      <td>21</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-85</td>
      <td>10-15-2019 15:18:00</td>
      <td>30</td>
      <td>16</td>
      <td>15</td>
      <td>1</td>
      <td>60</td>
      <td>47</td>
      <td>120</td>
      <td>50</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
      <td>Valid</td>
    </tr>
    <tr>
      <td>96</td>
      <td>2</td>
      <td>22</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-27</td>
      <td>10-15-2019 16:17:00</td>
      <td>30</td>
      <td>15</td>
      <td>5</td>
      <td>10</td>
      <td>60</td>
      <td>34</td>
      <td>120</td>
      <td>-1</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>97</td>
      <td>2</td>
      <td>23</td>
      <td>full_syllabus</td>
      <td>jee-main-full-syllabus-test-44</td>
      <td>10-15-2019 17:23:00</td>
      <td>90</td>
      <td>16</td>
      <td>9</td>
      <td>7</td>
      <td>180</td>
      <td>106</td>
      <td>360</td>
      <td>8</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>98</td>
      <td>2</td>
      <td>24</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-43</td>
      <td>10-15-2019 22:02:00</td>
      <td>30</td>
      <td>24</td>
      <td>14</td>
      <td>10</td>
      <td>60</td>
      <td>40</td>
      <td>120</td>
      <td>13</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
    <tr>
      <td>99</td>
      <td>2</td>
      <td>25</td>
      <td>chapter</td>
      <td>jee-main-chapter-test-91</td>
      <td>10-16-2019 00:15:00</td>
      <td>30</td>
      <td>23</td>
      <td>5</td>
      <td>18</td>
      <td>60</td>
      <td>37</td>
      <td>120</td>
      <td>-6</td>
      <td>13.055556</td>
      <td>9.388060</td>
      <td>22.443615</td>
      <td>Fighter</td>
      <td>Invalid</td>
    </tr>
  </tbody>
</table>
<p>100 rows × 18 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">shape</span>
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<pre>(8452, 18)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">info</span><span class="p">()</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Int64Index: 8452 entries, 0 to 8451
Data columns (total 18 columns):
user_id                                8452 non-null int64
user_test_number                       8452 non-null int64
test_type                              8452 non-null object
test_name                              8452 non-null object
test_taken_on                          8452 non-null object
test_total_questions                   8452 non-null int64
total_attempted                        8452 non-null int64
total_corrects                         8452 non-null int64
total_incorrects                       8452 non-null int64
test_total_time_duration               8452 non-null int64
test_time_spent                        8452 non-null int64
test_total_marks                       8452 non-null int64
marks_scored                           8452 non-null int64
full_syllabus_test_avg_marks_scored    8452 non-null float64
chapter_test_avg_marks_scored          8452 non-null float64
avg_marks_scored_both_test_types       8452 non-null float64
performance                            8452 non-null object
is_test_valid                          8452 non-null object
dtypes: float64(3), int64(10), object(5)
memory usage: 1.2+ MB
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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    .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>user_id</th>
      <th>user_test_number</th>
      <th>test_total_questions</th>
      <th>total_attempted</th>
      <th>total_corrects</th>
      <th>total_incorrects</th>
      <th>test_total_time_duration</th>
      <th>test_time_spent</th>
      <th>test_total_marks</th>
      <th>marks_scored</th>
      <th>full_syllabus_test_avg_marks_scored</th>
      <th>chapter_test_avg_marks_scored</th>
      <th>avg_marks_scored_both_test_types</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>count</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
      <td>8452.000000</td>
    </tr>
    <tr>
      <td>mean</td>
      <td>50.240890</td>
      <td>43.217345</td>
      <td>42.472788</td>
      <td>21.356720</td>
      <td>10.666469</td>
      <td>10.690251</td>
      <td>84.945575</td>
      <td>53.343469</td>
      <td>169.891150</td>
      <td>16.076668</td>
      <td>34.328565</td>
      <td>11.286403</td>
      <td>45.614967</td>
    </tr>
    <tr>
      <td>std</td>
      <td>28.810233</td>
      <td>25.179210</td>
      <td>24.348860</td>
      <td>18.816804</td>
      <td>12.658475</td>
      <td>12.634636</td>
      <td>48.697719</td>
      <td>38.369381</td>
      <td>97.395439</td>
      <td>35.788414</td>
      <td>13.848773</td>
      <td>2.769941</td>
      <td>14.360964</td>
    </tr>
    <tr>
      <td>min</td>
      <td>1.000000</td>
      <td>1.000000</td>
      <td>30.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>0.000000</td>
      <td>60.000000</td>
      <td>0.000000</td>
      <td>120.000000</td>
      <td>-89.000000</td>
      <td>-20.400000</td>
      <td>5.661017</td>
      <td>-13.960000</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>25.000000</td>
      <td>22.000000</td>
      <td>30.000000</td>
      <td>9.000000</td>
      <td>2.000000</td>
      <td>2.000000</td>
      <td>60.000000</td>
      <td>30.000000</td>
      <td>120.000000</td>
      <td>-2.000000</td>
      <td>26.411765</td>
      <td>9.642857</td>
      <td>37.121429</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>50.000000</td>
      <td>43.000000</td>
      <td>30.000000</td>
      <td>18.000000</td>
      <td>7.000000</td>
      <td>7.000000</td>
      <td>60.000000</td>
      <td>43.000000</td>
      <td>120.000000</td>
      <td>7.000000</td>
      <td>33.764706</td>
      <td>11.000000</td>
      <td>45.865079</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>75.000000</td>
      <td>64.000000</td>
      <td>30.000000</td>
      <td>27.000000</td>
      <td>15.000000</td>
      <td>14.000000</td>
      <td>60.000000</td>
      <td>57.000000</td>
      <td>120.000000</td>
      <td>27.000000</td>
      <td>43.687500</td>
      <td>12.562500</td>
      <td>55.506667</td>
    </tr>
    <tr>
      <td>max</td>
      <td>100.000000</td>
      <td>102.000000</td>
      <td>90.000000</td>
      <td>90.000000</td>
      <td>87.000000</td>
      <td>89.000000</td>
      <td>180.000000</td>
      <td>180.000000</td>
      <td>360.000000</td>
      <td>314.000000</td>
      <td>72.400000</td>
      <td>22.836066</td>
      <td>82.470175</td>
    </tr>
  </tbody>
</table>
</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># write to csv</span>
<span class="n">test_summary_categorized_df</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s1">&#39;./test_summary.csv&#39;</span><span class="p">,</span> <span class="n">header</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">encoding</span> <span class="o">=</span> <span class="s1">&#39;utf-8&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">valid_tests_df</span> <span class="o">=</span> <span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="s1">&#39;is_test_valid&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Valid&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;avg_marks_scored_both_test_types&#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="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>

<span class="n">valid_tests_df</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="p">[[</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="s1">&#39;test_type&#39;</span><span class="p">,</span> <span class="s1">&#39;test_taken_on&#39;</span><span class="p">,</span>
       <span class="s1">&#39;test_total_marks&#39;</span><span class="p">,</span> <span class="s1">&#39;marks_scored&#39;</span><span class="p">]]</span>

<span class="c1"># need to rebase user_test_number and select first n tests where n is minimum number of valid tests across all users</span>
<span class="n">gr</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;user_id&#39;</span><span class="p">)</span>
<span class="n">valid_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">gr</span><span class="o">.</span><span class="n">cumcount</span><span class="p">()</span> <span class="o">+</span> <span class="mi">1</span>

<span class="n">min_valid_tests_taken</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;Minimum number of valid tests taken across all users :: </span><span class="si">{min_valid_tests_taken}</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="n">valid_tests_df</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="p">[</span><span class="n">valid_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">min_valid_tests_taken</span><span class="p">]</span>

<span class="n">test_number_marks_scored_all_users_df</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_test_total_marks_all_users_df</span> <span class="o">=</span> <span class="n">valid_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;test_total_marks&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;test_total_marks&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_performance_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">test_number_marks_scored_all_users_df</span><span class="p">,</span> <span class="n">test_number_test_total_marks_all_users_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_performance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">]</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">100</span><span class="p">)</span>
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<pre>Minimum number of valid tests taken across all users :: 6
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    .dataframe tbody tr th:only-of-type {
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_test_number</th>
      <th>test_number_marks_scored_all_users</th>
      <th>test_number_test_total_marks_all_users</th>
      <th>test_number_performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>0</td>
      <td>1</td>
      <td>7502</td>
      <td>17520</td>
      <td>0.428196</td>
    </tr>
    <tr>
      <td>1</td>
      <td>2</td>
      <td>6571</td>
      <td>16080</td>
      <td>0.408644</td>
    </tr>
    <tr>
      <td>2</td>
      <td>3</td>
      <td>7360</td>
      <td>17760</td>
      <td>0.414414</td>
    </tr>
    <tr>
      <td>3</td>
      <td>4</td>
      <td>6696</td>
      <td>16560</td>
      <td>0.404348</td>
    </tr>
    <tr>
      <td>4</td>
      <td>5</td>
      <td>7272</td>
      <td>17520</td>
      <td>0.415068</td>
    </tr>
    <tr>
      <td>5</td>
      <td>6</td>
      <td>6988</td>
      <td>17040</td>
      <td>0.410094</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_marks_scored_all_users&quot;</span><span class="p">,</span> <span class="s2">&quot;test_number_test_total_marks_all_users&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd21836a0&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[19]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_performance&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;line&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[19]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd4265358&gt;</pre>
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<p><strong>Visualization - test-on-test score-improvement from 1st test till last test across all users for each performance category</strong></p>

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<p><strong>Achievers</strong></p>

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<div class="prompt input_prompt">In&nbsp;[20]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="s1">&#39;performance&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Achiever&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;avg_marks_scored_both_test_types&#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="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>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[[</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="s1">&#39;test_type&#39;</span><span class="p">,</span> <span class="s1">&#39;test_taken_on&#39;</span><span class="p">,</span>
       <span class="s1">&#39;test_total_marks&#39;</span><span class="p">,</span> <span class="s1">&#39;marks_scored&#39;</span><span class="p">]]</span>

<span class="c1"># need to rebase user_test_number and select first n tests where n is minimum number of tests across all users</span>
<span class="n">gr</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;user_id&#39;</span><span class="p">)</span>
<span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">gr</span><span class="o">.</span><span class="n">cumcount</span><span class="p">()</span> <span class="o">+</span> <span class="mi">1</span>

<span class="n">min_performer_tests_taken</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;Minimum number of tests taken amongst all Achievers :: </span><span class="si">{min_performer_tests_taken}</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[</span><span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">min_performer_tests_taken</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">performer_tests_df</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>

<span class="n">test_number_marks_scored_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_test_total_marks_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;test_total_marks&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;test_total_marks&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_performance_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">test_number_marks_scored_all_users_df</span><span class="p">,</span> <span class="n">test_number_test_total_marks_all_users_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_performance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">]</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<pre>Minimum number of tests taken amongst all Achievers :: 72
          user_id  test_total_marks  marks_scored  user_test_number
count  360.000000        360.000000    360.000000         360.00000
mean    54.000000        170.000000     23.672222          36.50000
std     26.615178         97.603598     45.367804          20.81153
min     22.000000        120.000000    -78.000000           1.00000
25%     37.000000        120.000000     -0.250000          18.75000
50%     41.000000        120.000000      9.000000          36.50000
75%     77.000000        120.000000     32.000000          54.25000
max     93.000000        360.000000    257.000000          72.00000
</pre>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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

    .dataframe thead th {
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_test_number</th>
      <th>test_number_marks_scored_all_users</th>
      <th>test_number_test_total_marks_all_users</th>
      <th>test_number_performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>count</td>
      <td>72.00000</td>
      <td>72.000000</td>
      <td>72.000000</td>
      <td>72.000000</td>
    </tr>
    <tr>
      <td>mean</td>
      <td>36.50000</td>
      <td>118.361111</td>
      <td>850.000000</td>
      <td>0.135563</td>
    </tr>
    <tr>
      <td>std</td>
      <td>20.92845</td>
      <td>92.568103</td>
      <td>246.462293</td>
      <td>0.093936</td>
    </tr>
    <tr>
      <td>min</td>
      <td>1.00000</td>
      <td>-81.000000</td>
      <td>600.000000</td>
      <td>-0.075000</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>18.75000</td>
      <td>49.000000</td>
      <td>600.000000</td>
      <td>0.063631</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>36.50000</td>
      <td>93.000000</td>
      <td>840.000000</td>
      <td>0.135000</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>54.25000</td>
      <td>188.750000</td>
      <td>1080.000000</td>
      <td>0.194306</td>
    </tr>
    <tr>
      <td>max</td>
      <td>72.00000</td>
      <td>399.000000</td>
      <td>1800.000000</td>
      <td>0.408333</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">16</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_marks_scored_all_users&quot;</span><span class="p">,</span> <span class="s2">&quot;test_number_test_total_marks_all_users&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd42f4d68&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_performance&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;line&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd5d4d7f0&gt;</pre>
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<p><strong>Performers</strong></p>

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<div class="prompt input_prompt">In&nbsp;[23]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="s1">&#39;performance&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Performer&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;avg_marks_scored_both_test_types&#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="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>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[[</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="s1">&#39;test_type&#39;</span><span class="p">,</span> <span class="s1">&#39;test_taken_on&#39;</span><span class="p">,</span>
       <span class="s1">&#39;test_total_marks&#39;</span><span class="p">,</span> <span class="s1">&#39;marks_scored&#39;</span><span class="p">]]</span>

<span class="c1"># need to rebase user_test_number and select first n tests where n is minimum number of tests across all users</span>
<span class="n">gr</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;user_id&#39;</span><span class="p">)</span>
<span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">gr</span><span class="o">.</span><span class="n">cumcount</span><span class="p">()</span> <span class="o">+</span> <span class="mi">1</span>

<span class="n">min_performer_tests_taken</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;Minimum number of tests taken amongst all Performers :: </span><span class="si">{min_performer_tests_taken}</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[</span><span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">min_performer_tests_taken</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">performer_tests_df</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>

<span class="n">test_number_marks_scored_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_test_total_marks_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;test_total_marks&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;test_total_marks&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_performance_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">test_number_marks_scored_all_users_df</span><span class="p">,</span> <span class="n">test_number_test_total_marks_all_users_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_performance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">]</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
</pre></div>

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<pre>Minimum number of tests taken amongst all Performers :: 68
           user_id  test_total_marks  marks_scored  user_test_number
count  1700.000000       1700.000000   1700.000000       1700.000000
mean     47.640000        168.423529     19.166471         34.500000
std      23.760524         96.344533     39.747481         19.633562
min       8.000000        120.000000    -85.000000          1.000000
25%      27.000000        120.000000     -2.000000         17.750000
50%      47.000000        120.000000      7.500000         34.500000
75%      61.000000        120.000000     28.000000         51.250000
max     100.000000        360.000000    291.000000         68.000000
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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

    .dataframe thead th {
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_test_number</th>
      <th>test_number_marks_scored_all_users</th>
      <th>test_number_test_total_marks_all_users</th>
      <th>test_number_performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>count</td>
      <td>68.00000</td>
      <td>68.000000</td>
      <td>68.000000</td>
      <td>68.000000</td>
    </tr>
    <tr>
      <td>mean</td>
      <td>34.50000</td>
      <td>479.161765</td>
      <td>4210.588235</td>
      <td>0.111764</td>
    </tr>
    <tr>
      <td>std</td>
      <td>19.77372</td>
      <td>242.150725</td>
      <td>850.232422</td>
      <td>0.045091</td>
    </tr>
    <tr>
      <td>min</td>
      <td>1.00000</td>
      <td>81.000000</td>
      <td>3000.000000</td>
      <td>0.019286</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>17.75000</td>
      <td>314.750000</td>
      <td>3720.000000</td>
      <td>0.075481</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>34.50000</td>
      <td>446.000000</td>
      <td>4200.000000</td>
      <td>0.106886</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>51.25000</td>
      <td>635.000000</td>
      <td>4500.000000</td>
      <td>0.139148</td>
    </tr>
    <tr>
      <td>max</td>
      <td>68.00000</td>
      <td>1462.000000</td>
      <td>9000.000000</td>
      <td>0.242857</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">16</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_marks_scored_all_users&quot;</span><span class="p">,</span> <span class="s2">&quot;test_number_test_total_marks_all_users&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd5d9e080&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_performance&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;line&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd5754e80&gt;</pre>
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<p><strong>Fighters</strong></p>

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<div class="prompt input_prompt">In&nbsp;[26]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="n">test_summary_categorized_df</span><span class="p">[</span><span class="s1">&#39;performance&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Fighter&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="s1">&#39;full_syllabus_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;chapter_test_avg_marks_scored&#39;</span><span class="p">,</span> <span class="s1">&#39;avg_marks_scored_both_test_types&#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="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>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[[</span><span class="s1">&#39;user_id&#39;</span><span class="p">,</span> <span class="s1">&#39;test_type&#39;</span><span class="p">,</span> <span class="s1">&#39;test_taken_on&#39;</span><span class="p">,</span>
       <span class="s1">&#39;test_total_marks&#39;</span><span class="p">,</span> <span class="s1">&#39;marks_scored&#39;</span><span class="p">]]</span>

<span class="c1"># need to rebase user_test_number and select first n tests where n is minimum number of tests across all users</span>
<span class="n">gr</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;user_id&#39;</span><span class="p">)</span>
<span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">gr</span><span class="o">.</span><span class="n">cumcount</span><span class="p">()</span> <span class="o">+</span> <span class="mi">1</span>

<span class="n">min_performer_tests_taken</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_id&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">max</span><span class="p">()[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">min</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;Minimum number of tests taken amongst all Fighters :: </span><span class="si">{min_performer_tests_taken}</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="n">performer_tests_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="p">[</span><span class="n">performer_tests_df</span><span class="p">[</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">min_performer_tests_taken</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">performer_tests_df</span><span class="o">.</span><span class="n">describe</span><span class="p">())</span>

<span class="n">test_number_marks_scored_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;marks_scored&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;marks_scored&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_test_total_marks_all_users_df</span> <span class="o">=</span> <span class="n">performer_tests_df</span><span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">],</span> <span class="n">as_index</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)[</span><span class="s1">&#39;test_total_marks&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;test_total_marks&#39;</span> <span class="p">:</span> <span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">})</span>
<span class="n">test_number_performance_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">test_number_marks_scored_all_users_df</span><span class="p">,</span> <span class="n">test_number_test_total_marks_all_users_df</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;user_test_number&#39;</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;inner&#39;</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_performance&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_marks_scored_all_users&#39;</span><span class="p">]</span> <span class="o">/</span> <span class="n">test_number_performance_df</span><span class="p">[</span><span class="s1">&#39;test_number_test_total_marks_all_users&#39;</span><span class="p">]</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
</pre></div>

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<pre>Minimum number of tests taken amongst all Fighters :: 65
           user_id  test_total_marks  marks_scored  user_test_number
count  4550.000000       4550.000000   4550.000000       4550.000000
mean     51.271429        169.371429     14.686593         33.000000
std      30.564736         97.024089     33.887187         18.763725
min       1.000000        120.000000    -85.000000          1.000000
25%      23.000000        120.000000     -3.000000         17.000000
50%      54.500000        120.000000      6.000000         33.000000
75%      78.000000        120.000000     25.000000         49.000000
max      99.000000        360.000000    314.000000         65.000000
</pre>
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<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;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>user_test_number</th>
      <th>test_number_marks_scored_all_users</th>
      <th>test_number_test_total_marks_all_users</th>
      <th>test_number_performance</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>count</td>
      <td>65.00000</td>
      <td>65.000000</td>
      <td>65.000000</td>
      <td>65.000000</td>
    </tr>
    <tr>
      <td>mean</td>
      <td>33.00000</td>
      <td>1028.061538</td>
      <td>11856.000000</td>
      <td>0.087295</td>
    </tr>
    <tr>
      <td>std</td>
      <td>18.90767</td>
      <td>284.496423</td>
      <td>2154.910671</td>
      <td>0.022333</td>
    </tr>
    <tr>
      <td>min</td>
      <td>1.00000</td>
      <td>456.000000</td>
      <td>8400.000000</td>
      <td>0.042663</td>
    </tr>
    <tr>
      <td>25%</td>
      <td>17.00000</td>
      <td>833.000000</td>
      <td>11040.000000</td>
      <td>0.071650</td>
    </tr>
    <tr>
      <td>50%</td>
      <td>33.00000</td>
      <td>994.000000</td>
      <td>11520.000000</td>
      <td>0.086250</td>
    </tr>
    <tr>
      <td>75%</td>
      <td>49.00000</td>
      <td>1211.000000</td>
      <td>12240.000000</td>
      <td>0.101681</td>
    </tr>
    <tr>
      <td>max</td>
      <td>65.00000</td>
      <td>1694.000000</td>
      <td>25200.000000</td>
      <td>0.137855</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">16</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_marks_scored_all_users&quot;</span><span class="p">,</span> <span class="s2">&quot;test_number_test_total_marks_all_users&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;bar&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd57bbd68&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[28]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s2">&quot;figure.figsize&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">24</span><span class="p">,</span> <span class="mi">12</span><span class="p">)</span>
<span class="n">test_number_performance_df</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s2">&quot;user_test_number&quot;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;test_number_performance&quot;</span><span class="p">],</span> <span class="n">kind</span><span class="o">=</span><span class="s2">&quot;line&quot;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[28]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x19cd5943c88&gt;</pre>
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