Big Sales Mart.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>Big Sales Mart</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<style type="text/css">
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html {
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article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
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summary {
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progress,
video {
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sup {
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sub {
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figure {
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input[type="submit"] {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
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}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
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<h1 id="Big-Sales-Mart">Big Sales Mart<a class="anchor-link" href="#Big-Sales-Mart">&#182;</a></h1><h3 id="Problem-Statement">Problem Statement<a class="anchor-link" href="#Problem-Statement">&#182;</a></h3><p>The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store.</p>
<p>Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.</p>
<h3 id="Data">Data<a class="anchor-link" href="#Data">&#182;</a></h3><p>We have train (8523) and test (5681) data set, train data set has both input and output variable(s). You need to predict the sales for test data set.</p>
<p>Item_Identifier - Unique product ID</p>
<p>Item_Weight - Weight of product</p>
<p>Item_Fat_Content - Whether the product is low fat or not</p>
<p>Item_Visibility - The % of total display area of all products in a store allocated to the particular product</p>
<p>Item_Type - The category to which the product belongs</p>
<p>Item_MRP - Maximum Retail Price (list price) of the product</p>
<p>Outlet_Identifier - Unique store ID</p>
<p>Outlet_Establishment_Year - The year in which store was established</p>
<p>Outlet_Size - The size of the store in terms of ground area covered</p>
<p>Outlet_Location_Type - The type of city in which the store is located</p>
<p>Outlet_Type - Whether the outlet is just a grocery store or some sort of supermarket</p>
<p>Item_Outlet_Sales - Sales of the product in the particulat store. This is the outcome variable to be predicted.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Importing the Libraries</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;C://Users//Classroom//Downloads//Train_UWu5bXk.csv&quot;</span><span class="p">)</span>
<span class="n">test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;C://Users//Classroom//Downloads//Test_u94Q5KV.csv&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Item_Identifier</th>
      <th>Item_Weight</th>
      <th>Item_Fat_Content</th>
      <th>Item_Visibility</th>
      <th>Item_Type</th>
      <th>Item_MRP</th>
      <th>Outlet_Identifier</th>
      <th>Outlet_Establishment_Year</th>
      <th>Outlet_Size</th>
      <th>Outlet_Location_Type</th>
      <th>Outlet_Type</th>
      <th>Item_Outlet_Sales</th>
    </tr>
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  <tbody>
    <tr>
      <th>0</th>
      <td>FDA15</td>
      <td>9.30</td>
      <td>Low Fat</td>
      <td>0.016047</td>
      <td>Dairy</td>
      <td>249.8092</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>3735.1380</td>
    </tr>
    <tr>
      <th>1</th>
      <td>DRC01</td>
      <td>5.92</td>
      <td>Regular</td>
      <td>0.019278</td>
      <td>Soft Drinks</td>
      <td>48.2692</td>
      <td>OUT018</td>
      <td>2009</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Supermarket Type2</td>
      <td>443.4228</td>
    </tr>
    <tr>
      <th>2</th>
      <td>FDN15</td>
      <td>17.50</td>
      <td>Low Fat</td>
      <td>0.016760</td>
      <td>Meat</td>
      <td>141.6180</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>2097.2700</td>
    </tr>
    <tr>
      <th>3</th>
      <td>FDX07</td>
      <td>19.20</td>
      <td>Regular</td>
      <td>0.000000</td>
      <td>Fruits and Vegetables</td>
      <td>182.0950</td>
      <td>OUT010</td>
      <td>1998</td>
      <td>NaN</td>
      <td>Tier 3</td>
      <td>Grocery Store</td>
      <td>732.3800</td>
    </tr>
    <tr>
      <th>4</th>
      <td>NCD19</td>
      <td>8.93</td>
      <td>Low Fat</td>
      <td>0.000000</td>
      <td>Household</td>
      <td>53.8614</td>
      <td>OUT013</td>
      <td>1987</td>
      <td>High</td>
      <td>Tier 3</td>
      <td>Supermarket Type1</td>
      <td>994.7052</td>
    </tr>
  </tbody>
</table>
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<h2 id="Univariate-Analysis">Univariate Analysis<a class="anchor-link" href="#Univariate-Analysis">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Target Variable</span>
<span class="n">g</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Outlet_Sales</span><span class="p">)</span> <span class="c1"># Sales is positively skewed</span>
<span class="n">g</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span> <span class="o">=</span> <span class="s2">&quot;Outlet Sales&quot;</span><span class="p">,</span> <span class="n">ylabel</span> <span class="o">=</span> <span class="s2">&quot;Frequency&quot;</span><span class="p">,</span> <span class="n">title</span> <span class="o">=</span> <span class="s2">&quot; Sales Distribution&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Item_MRP</span>
<span class="n">g</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_MRP</span><span class="p">)</span> <span class="c1"># Sales is positively skewed</span>
<span class="n">g</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span> <span class="o">=</span> <span class="s2">&quot;Item MRP&quot;</span><span class="p">,</span> <span class="n">ylabel</span> <span class="o">=</span> <span class="s2">&quot;Frequency&quot;</span><span class="p">,</span> <span class="n">title</span> <span class="o">=</span> <span class="s2">&quot; Item MRP Distribution&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item_Weight</span>
<span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train</span><span class="p">[</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Weight</span><span class="o">.</span><span class="n">notnull</span><span class="p">()]</span><span class="o">.</span><span class="n">Item_Weight</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e3ebc6d8&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[231]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Weight</span><span class="o">.</span><span class="n">dropna</span><span class="p">())</span>
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<div class="prompt output_prompt">Out[231]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e1fc1780&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[232]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Visibility Plot</span>
<span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Visibility</span><span class="p">)</span>
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<div class="prompt output_prompt">Out[232]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e17da198&gt;</pre>
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<h2 id="Univariate---Categorical-Columns">Univariate - Categorical Columns<a class="anchor-link" href="#Univariate---Categorical-Columns">&#182;</a></h2>
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<div class="prompt input_prompt">In&nbsp;[233]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">columns</span>
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<pre>Index([&#39;Item_Identifier&#39;, &#39;Item_Weight&#39;, &#39;Item_Fat_Content&#39;, &#39;Item_Visibility&#39;,
       &#39;Item_Type&#39;, &#39;Item_MRP&#39;, &#39;Outlet_Identifier&#39;,
       &#39;Outlet_Establishment_Year&#39;, &#39;Outlet_Size&#39;, &#39;Outlet_Location_Type&#39;,
       &#39;Outlet_Type&#39;, &#39;Item_Outlet_Sales&#39;],
      dtype=&#39;object&#39;)</pre>
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<div class="prompt input_prompt">In&nbsp;[283]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">countplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;Item_Fat_Content&#39;</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">test</span><span class="p">)</span> <span class="c1"># Low fat content is sold more</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e4013c50&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Saw that low fat, lf and Low Fat represents the same and same for Regular and reg.</span>
<span class="c1">#train.Item_Fat_Content = train.Item_Fat_Content.replace(to_replace=&quot;reg&quot;, value=&quot;Regular&quot;)</span>
<span class="n">train</span><span class="o">.</span><span class="n">Item_Fat_Content</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">Item_Fat_Content</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">to_replace</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;low fat&quot;</span><span class="p">,</span> <span class="s2">&quot;LF&quot;</span><span class="p">,</span> <span class="s2">&quot;reg&quot;</span><span class="p">],</span>
                                                       <span class="n">value</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Low Fat&quot;</span><span class="p">,</span> <span class="s2">&quot;Low Fat&quot;</span><span class="p">,</span> <span class="s2">&quot;Regular&quot;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="o">.</span><span class="n">Item_Fat_Content</span> <span class="o">=</span> <span class="n">test</span><span class="o">.</span><span class="n">Item_Fat_Content</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">to_replace</span><span class="o">=</span><span class="p">[</span><span class="s2">&quot;low fat&quot;</span><span class="p">,</span> <span class="s2">&quot;LF&quot;</span><span class="p">,</span> <span class="s2">&quot;reg&quot;</span><span class="p">],</span>
                                                       <span class="n">value</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;Low Fat&quot;</span><span class="p">,</span> <span class="s2">&quot;Low Fat&quot;</span><span class="p">,</span> <span class="s2">&quot;Regular&quot;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Type</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mf">6.5</span><span class="p">])</span>
<span class="n">sns</span><span class="o">.</span><span class="n">countplot</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Type</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span> <span class="o">=</span> <span class="mi">45</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">Item_Type</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Fruits and Vegetables    1232
Snack Foods              1200
Household                 910
Frozen Foods              856
Dairy                     682
Canned                    649
Baking Goods              648
Health and Hygiene        520
Soft Drinks               445
Meat                      425
Breads                    251
Hard Drinks               214
Others                    169
Starchy Foods             148
Breakfast                 110
Seafood                    64
Name: Item_Type, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Outlet Size</span>
<span class="n">sns</span><span class="o">.</span><span class="n">countplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;Outlet_Size&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">)</span> <span class="c1"># Medium is the most visible outlet</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e3c796a0&gt;</pre>
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<h3 id="Bivariate-Analysis">Bivariate Analysis<a class="anchor-link" href="#Bivariate-Analysis">&#182;</a></h3><h4 id="Categorical-Vs-Numerical">Categorical Vs Numerical<a class="anchor-link" href="#Categorical-Vs-Numerical">&#182;</a></h4><ol>
<li>Outlet Size Vs Outlet Sales</li>
<li>Item Type Vs Sales</li>
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<div class="prompt input_prompt">In&nbsp;[237]:</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">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mf">6.5</span><span class="p">])</span>
<span class="n">sns</span><span class="o">.</span><span class="n">boxplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;Outlet_Size&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">,</span> <span class="n">hue</span> <span class="o">=</span> <span class="s1">&#39;Outlet_Size&#39;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e4fc49b0&gt;</pre>
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
"
>
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<div class="prompt input_prompt">In&nbsp;[93]:</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">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">[</span><span class="mi">25</span><span class="p">,</span><span class="mi">9</span><span class="p">])</span>
<span class="n">a</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">violinplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s1">&#39;Item_Type&#39;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">rotation</span> <span class="o">=</span> <span class="mi">90</span><span class="p">,</span> <span class="n">fontsize</span> <span class="o">=</span> <span class="mi">14</span><span class="p">)</span>
</pre></div>

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<div class="prompt output_prompt">Out[93]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15]),
 &lt;a list of 16 Text xticklabel objects&gt;)</pre>
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<img 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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Statistical Summary of Item Type Vs Sales</span>
<span class="n">train</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;Item_Type&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">Item_Outlet_Sales</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>count</th>
      <th>mean</th>
      <th>std</th>
      <th>min</th>
      <th>25%</th>
      <th>50%</th>
      <th>75%</th>
      <th>max</th>
    </tr>
    <tr>
      <th>Item_Type</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Baking Goods</th>
      <td>648.0</td>
      <td>1952.971207</td>
      <td>1546.788045</td>
      <td>37.2848</td>
      <td>705.08220</td>
      <td>1577.9460</td>
      <td>2823.82425</td>
      <td>7931.6754</td>
    </tr>
    <tr>
      <th>Breads</th>
      <td>251.0</td>
      <td>2204.132226</td>
      <td>1644.235914</td>
      <td>35.2874</td>
      <td>968.73900</td>
      <td>1860.2452</td>
      <td>3145.90500</td>
      <td>8958.3390</td>
    </tr>
    <tr>
      <th>Breakfast</th>
      <td>110.0</td>
      <td>2111.808651</td>
      <td>1911.693586</td>
      <td>39.9480</td>
      <td>679.11600</td>
      <td>1554.6430</td>
      <td>2970.30025</td>
      <td>8209.3140</td>
    </tr>
    <tr>
      <th>Canned</th>
      <td>649.0</td>
      <td>2225.194904</td>
      <td>1645.235638</td>
      <td>37.9506</td>
      <td>952.09400</td>
      <td>1860.2452</td>
      <td>3101.29640</td>
      <td>10306.5840</td>
    </tr>
    <tr>
      <th>Dairy</th>
      <td>682.0</td>
      <td>2232.542597</td>
      <td>1884.404698</td>
      <td>40.6138</td>
      <td>788.97300</td>
      <td>1650.8511</td>
      <td>3296.20935</td>
      <td>10256.6490</td>
    </tr>
    <tr>
      <th>Frozen Foods</th>
      <td>856.0</td>
      <td>2132.867744</td>
      <td>1724.777720</td>
      <td>36.6190</td>
      <td>808.94700</td>
      <td>1687.1372</td>
      <td>3079.49145</td>
      <td>9678.0688</td>
    </tr>
    <tr>
      <th>Fruits and Vegetables</th>
      <td>1232.0</td>
      <td>2289.009592</td>
      <td>1799.503459</td>
      <td>45.2744</td>
      <td>884.84820</td>
      <td>1830.9500</td>
      <td>3227.13260</td>
      <td>12117.5600</td>
    </tr>
    <tr>
      <th>Hard Drinks</th>
      <td>214.0</td>
      <td>2139.221622</td>
      <td>1606.191587</td>
      <td>37.9506</td>
      <td>834.91320</td>
      <td>1816.6353</td>
      <td>3071.33540</td>
      <td>7843.1240</td>
    </tr>
    <tr>
      <th>Health and Hygiene</th>
      <td>520.0</td>
      <td>2010.000265</td>
      <td>1553.633063</td>
      <td>34.6216</td>
      <td>758.84555</td>
      <td>1669.4935</td>
      <td>2884.57850</td>
      <td>9779.9362</td>
    </tr>
    <tr>
      <th>Household</th>
      <td>910.0</td>
      <td>2258.784300</td>
      <td>1692.245757</td>
      <td>33.2900</td>
      <td>853.38915</td>
      <td>1981.4208</td>
      <td>3236.78670</td>
      <td>13086.9648</td>
    </tr>
    <tr>
      <th>Meat</th>
      <td>425.0</td>
      <td>2158.977911</td>
      <td>1695.231081</td>
      <td>47.9376</td>
      <td>782.98080</td>
      <td>1829.6184</td>
      <td>3036.04800</td>
      <td>9390.4432</td>
    </tr>
    <tr>
      <th>Others</th>
      <td>169.0</td>
      <td>1926.139702</td>
      <td>1431.860471</td>
      <td>39.9480</td>
      <td>790.97040</td>
      <td>1713.7692</td>
      <td>2719.79300</td>
      <td>6008.8450</td>
    </tr>
    <tr>
      <th>Seafood</th>
      <td>64.0</td>
      <td>2326.065928</td>
      <td>1842.988719</td>
      <td>149.8050</td>
      <td>473.38380</td>
      <td>2055.3246</td>
      <td>3589.32780</td>
      <td>6503.5344</td>
    </tr>
    <tr>
      <th>Snack Foods</th>
      <td>1200.0</td>
      <td>2277.321739</td>
      <td>1705.121755</td>
      <td>33.9558</td>
      <td>918.80400</td>
      <td>1944.1360</td>
      <td>3143.57470</td>
      <td>10993.6896</td>
    </tr>
    <tr>
      <th>Soft Drinks</th>
      <td>445.0</td>
      <td>2006.511735</td>
      <td>1674.249752</td>
      <td>33.2900</td>
      <td>771.66220</td>
      <td>1518.0240</td>
      <td>2759.07520</td>
      <td>9554.2300</td>
    </tr>
    <tr>
      <th>Starchy Foods</th>
      <td>148.0</td>
      <td>2374.332773</td>
      <td>1773.945328</td>
      <td>58.5904</td>
      <td>958.75200</td>
      <td>1968.1048</td>
      <td>3592.65680</td>
      <td>8132.0812</td>
    </tr>
  </tbody>
</table>
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<h3 id="Inferences---Item-Type">Inferences - Item Type<a class="anchor-link" href="#Inferences---Item-Type">&#182;</a></h3><ol>
<li><p>Most Sold Items are Fruits and Veggies, Household Items.</p>
</li>
<li><p>Seafood has higher Mean but the range of the values is less.</p>
</li>
<li><p>Seafood has the highest median across.</p>
</li>
<li><p>Starchy Food has the highest Mean Sales.</p>
</li>
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<h3 id="Bivariate">Bivariate<a class="anchor-link" href="#Bivariate">&#182;</a></h3><p>Numerical Columns</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Weight Vs Sales - No Pattern</span>
<span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;Item_Weight&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s2">&quot;magenta&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e1ab2f60&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[96]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Visibility vs Sales</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">5</span><span class="p">])</span>
<span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;Item_Visibility&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s2">&quot;magenta&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e15e9fd0&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Visibility vs Sales</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">[</span><span class="mi">10</span><span class="p">,</span><span class="mi">5</span><span class="p">])</span>
<span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;Item_MRP&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="s2">&quot;magenta&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e39ee278&gt;</pre>
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<h2 id="Missing-Values">Missing Values<a class="anchor-link" href="#Missing-Values">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>Item_Weight             0
Item_Fat_Content        0
Item_Visibility         0
Item_Type               0
Item_MRP                0
Outlet_Identifier       0
Outlet_Size             0
Outlet_Location_Type    0
Outlet_Type             0
Item_Outlet_Sales       0
Price_PerUnit           0
Item_ID                 0
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>Item_Identifier                 0
Item_Weight                   976
Item_Fat_Content                0
Item_Visibility                 0
Item_Type                       0
Item_MRP                        0
Outlet_Identifier               0
Outlet_Establishment_Year       0
Outlet_Size                  1606
Outlet_Location_Type            0
Outlet_Type                     0
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Item Weight Imputation</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="p">[</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Weight</span><span class="o">.</span><span class="n">isnull</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 {
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Item_Identifier</th>
      <th>Item_Weight</th>
      <th>Item_Fat_Content</th>
      <th>Item_Visibility</th>
      <th>Item_Type</th>
      <th>Item_MRP</th>
      <th>Outlet_Identifier</th>
      <th>Outlet_Establishment_Year</th>
      <th>Outlet_Size</th>
      <th>Outlet_Location_Type</th>
      <th>Outlet_Type</th>
      <th>Item_Outlet_Sales</th>
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<pre>927   NaN
Name: Item_Weight, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="p">[</span><span class="s2">&quot;Item_Weight&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">train</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;Item_Identifier&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">notnull</span><span class="p">()</span><span class="o">.</span><span class="n">mean</span><span class="p">()))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="p">[</span><span class="s2">&quot;Item_Weight&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">test</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;Item_Identifier&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">notnull</span><span class="p">()</span><span class="o">.</span><span class="n">mean</span><span class="p">()))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Outlet Size</span>
<span class="n">train</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Medium    2793
Small     2388
High       932
Name: Outlet_Size, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># removing na values</span>
<span class="n">train</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">=</span><span class="n">train</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">value</span><span class="o">=</span><span class="s2">&quot;Medium&quot;</span><span class="p">)</span>
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<pre>Item_Identifier              0
Item_Weight                  0
Item_Fat_Content             0
Item_Visibility              0
Item_Type                    0
Item_MRP                     0
Outlet_Identifier            0
Outlet_Establishment_Year    0
Outlet_Size                  0
Outlet_Location_Type         0
Outlet_Type                  0
Item_Outlet_Sales            0
dtype: int64</pre>
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<h1 id="Feature-Engg">Feature Engg<a class="anchor-link" href="#Feature-Engg">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        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>Item_Identifier</th>
      <th>Item_Weight</th>
      <th>Item_Fat_Content</th>
      <th>Item_Visibility</th>
      <th>Item_Type</th>
      <th>Item_MRP</th>
      <th>Outlet_Identifier</th>
      <th>Outlet_Establishment_Year</th>
      <th>Outlet_Size</th>
      <th>Outlet_Location_Type</th>
      <th>Outlet_Type</th>
      <th>Item_Outlet_Sales</th>
      <th>Price_PerUnit</th>
      <th>Item_ID</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>FDA15</td>
      <td>9.3</td>
      <td>Low Fat</td>
      <td>0.016047</td>
      <td>Dairy</td>
      <td>249.8092</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>3735.1380</td>
      <td>14.951963</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>1</th>
      <td>DRC01</td>
      <td>5.92</td>
      <td>Regular</td>
      <td>0.019278</td>
      <td>Soft Drinks</td>
      <td>48.2692</td>
      <td>OUT018</td>
      <td>2009</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Supermarket Type2</td>
      <td>443.4228</td>
      <td>9.186454</td>
      <td>DR</td>
    </tr>
    <tr>
      <th>2</th>
      <td>FDN15</td>
      <td>17.5</td>
      <td>Low Fat</td>
      <td>0.016760</td>
      <td>Meat</td>
      <td>141.6180</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>2097.2700</td>
      <td>14.809346</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>3</th>
      <td>FDX07</td>
      <td>19.2</td>
      <td>Regular</td>
      <td>0.000000</td>
      <td>Fruits and Vegetables</td>
      <td>182.0950</td>
      <td>OUT010</td>
      <td>1998</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Grocery Store</td>
      <td>732.3800</td>
      <td>4.021967</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>4</th>
      <td>NCD19</td>
      <td>8.93</td>
      <td>Low Fat</td>
      <td>0.000000</td>
      <td>Household</td>
      <td>53.8614</td>
      <td>OUT013</td>
      <td>1987</td>
      <td>High</td>
      <td>Tier 3</td>
      <td>Supermarket Type1</td>
      <td>994.7052</td>
      <td>18.467868</td>
      <td>NC</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Price per Unit</span>
<span class="n">train</span><span class="p">[</span><span class="s2">&quot;Price_PerUnit&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">Item_Outlet_Sales</span><span class="o">/</span><span class="n">train</span><span class="o">.</span><span class="n">Item_MRP</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sns</span><span class="o">.</span><span class="n">scatterplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="s2">&quot;Price_PerUnit&quot;</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">train</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;hotpink&quot;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1d5e3be17b8&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">Item_Identifier</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span>
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<pre>&#39;DR&#39;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Extracting Column ID</span>
<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">itemid</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Identifier</span><span class="p">)):</span>
    <span class="n">itemid</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Identifier</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">:</span><span class="mi">2</span><span class="p">])</span> 
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Assigning the Column ID to the Dataset</span>
<span class="n">train</span><span class="p">[</span><span class="s2">&quot;Item_ID&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">itemid</span><span class="p">)</span>
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<h1 id="Dummies">Dummies<a class="anchor-link" href="#Dummies">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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

    .dataframe thead th {
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Item_Identifier</th>
      <th>Item_Weight</th>
      <th>Item_Fat_Content</th>
      <th>Item_Visibility</th>
      <th>Item_Type</th>
      <th>Item_MRP</th>
      <th>Outlet_Identifier</th>
      <th>Outlet_Establishment_Year</th>
      <th>Outlet_Size</th>
      <th>Outlet_Location_Type</th>
      <th>Outlet_Type</th>
      <th>Item_Outlet_Sales</th>
      <th>Price_PerUnit</th>
      <th>Item_ID</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>FDA15</td>
      <td>9.3</td>
      <td>Low Fat</td>
      <td>0.016047</td>
      <td>Dairy</td>
      <td>249.8092</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>3735.1380</td>
      <td>14.951963</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>1</th>
      <td>DRC01</td>
      <td>5.92</td>
      <td>Regular</td>
      <td>0.019278</td>
      <td>Soft Drinks</td>
      <td>48.2692</td>
      <td>OUT018</td>
      <td>2009</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Supermarket Type2</td>
      <td>443.4228</td>
      <td>9.186454</td>
      <td>DR</td>
    </tr>
    <tr>
      <th>2</th>
      <td>FDN15</td>
      <td>17.5</td>
      <td>Low Fat</td>
      <td>0.016760</td>
      <td>Meat</td>
      <td>141.6180</td>
      <td>OUT049</td>
      <td>1999</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>2097.2700</td>
      <td>14.809346</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>3</th>
      <td>FDX07</td>
      <td>19.2</td>
      <td>Regular</td>
      <td>0.000000</td>
      <td>Fruits and Vegetables</td>
      <td>182.0950</td>
      <td>OUT010</td>
      <td>1998</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Grocery Store</td>
      <td>732.3800</td>
      <td>4.021967</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>4</th>
      <td>NCD19</td>
      <td>8.93</td>
      <td>Low Fat</td>
      <td>0.000000</td>
      <td>Household</td>
      <td>53.8614</td>
      <td>OUT013</td>
      <td>1987</td>
      <td>High</td>
      <td>Tier 3</td>
      <td>Supermarket Type1</td>
      <td>994.7052</td>
      <td>18.467868</td>
      <td>NC</td>
    </tr>
  </tbody>
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<h3 id="Test-Set">Test Set<a class="anchor-link" href="#Test-Set">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="o">.</span><span class="n">isnull</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span>
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<pre>Item_Identifier                 0
Item_Weight                     0
Item_Fat_Content                0
Item_Visibility                 0
Item_Type                       0
Item_MRP                        0
Outlet_Identifier               0
Outlet_Establishment_Year       0
Outlet_Size                  1606
Outlet_Location_Type            0
Outlet_Type                     0
dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
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<pre>Medium    1862
Small     1592
High       621
Name: Outlet_Size, dtype: int64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># removing na values</span>
<span class="n">test</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">=</span><span class="n">test</span><span class="o">.</span><span class="n">Outlet_Size</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">value</span><span class="o">=</span><span class="s2">&quot;Medium&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Extracting Column ID</span>
<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">itemid</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">test</span><span class="o">.</span><span class="n">Item_Identifier</span><span class="p">)):</span>
    <span class="n">itemid</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test</span><span class="o">.</span><span class="n">Item_Identifier</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">:</span><span class="mi">2</span><span class="p">])</span> 
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Assigning the Column ID to the Dataset</span>
<span class="n">test</span><span class="p">[</span><span class="s2">&quot;Item_ID&quot;</span><span class="p">]</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">itemid</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Dropping id from train and test</span>
<span class="n">train</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Item_Identifier&quot;</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</span> <span class="o">=</span> <span class="n">test</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Item_Identifier&quot;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Dropping Outlet Year from train and test</span>
<span class="n">train</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Outlet_Establishment_Year&quot;</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</span> <span class="o">=</span> <span class="n">test</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Outlet_Establishment_Year&quot;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<pre>(8523, 12)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">head</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;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Item_Weight</th>
      <th>Item_Fat_Content</th>
      <th>Item_Visibility</th>
      <th>Item_Type</th>
      <th>Item_MRP</th>
      <th>Outlet_Identifier</th>
      <th>Outlet_Size</th>
      <th>Outlet_Location_Type</th>
      <th>Outlet_Type</th>
      <th>Item_Outlet_Sales</th>
      <th>Price_PerUnit</th>
      <th>Item_ID</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>9.3</td>
      <td>Low Fat</td>
      <td>0.016047</td>
      <td>Dairy</td>
      <td>249.8092</td>
      <td>OUT049</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>3735.1380</td>
      <td>14.951963</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>1</th>
      <td>5.92</td>
      <td>Regular</td>
      <td>0.019278</td>
      <td>Soft Drinks</td>
      <td>48.2692</td>
      <td>OUT018</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Supermarket Type2</td>
      <td>443.4228</td>
      <td>9.186454</td>
      <td>DR</td>
    </tr>
    <tr>
      <th>2</th>
      <td>17.5</td>
      <td>Low Fat</td>
      <td>0.016760</td>
      <td>Meat</td>
      <td>141.6180</td>
      <td>OUT049</td>
      <td>Medium</td>
      <td>Tier 1</td>
      <td>Supermarket Type1</td>
      <td>2097.2700</td>
      <td>14.809346</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>3</th>
      <td>19.2</td>
      <td>Regular</td>
      <td>0.000000</td>
      <td>Fruits and Vegetables</td>
      <td>182.0950</td>
      <td>OUT010</td>
      <td>Medium</td>
      <td>Tier 3</td>
      <td>Grocery Store</td>
      <td>732.3800</td>
      <td>4.021967</td>
      <td>FD</td>
    </tr>
    <tr>
      <th>4</th>
      <td>8.93</td>
      <td>Low Fat</td>
      <td>0.000000</td>
      <td>Household</td>
      <td>53.8614</td>
      <td>OUT013</td>
      <td>High</td>
      <td>Tier 3</td>
      <td>Supermarket Type1</td>
      <td>994.7052</td>
      <td>18.467868</td>
      <td>NC</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</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: 8523 entries, 0 to 8522
Data columns (total 12 columns):
Item_Weight             8523 non-null float64
Item_Fat_Content        8523 non-null object
Item_Visibility         8523 non-null float64
Item_Type               8523 non-null object
Item_MRP                8523 non-null float64
Outlet_Identifier       8523 non-null object
Outlet_Size             8523 non-null object
Outlet_Location_Type    8523 non-null object
Outlet_Type             8523 non-null object
Item_Outlet_Sales       8523 non-null float64
Price_PerUnit           8523 non-null float64
Item_ID                 8523 non-null object
dtypes: float64(5), object(7)
memory usage: 799.1+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="o">.</span><span class="n">Item_Weight</span> <span class="o">=</span> <span class="n">train</span><span class="o">.</span><span class="n">Item_Weight</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;float64&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">newtrain</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">train</span><span class="p">)</span>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
RangeIndex: 5681 entries, 0 to 5680
Data columns (total 10 columns):
Item_Weight             5681 non-null object
Item_Fat_Content        5681 non-null object
Item_Visibility         5681 non-null float64
Item_Type               5681 non-null object
Item_MRP                5681 non-null float64
Outlet_Identifier       5681 non-null object
Outlet_Size             5681 non-null object
Outlet_Location_Type    5681 non-null object
Outlet_Type             5681 non-null object
Item_ID                 5681 non-null object
dtypes: float64(2), object(8)
memory usage: 443.9+ KB
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test</span><span class="o">.</span><span class="n">Item_Weight</span> <span class="o">=</span> <span class="n">test</span><span class="o">.</span><span class="n">Item_Weight</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s2">&quot;float64&quot;</span><span class="p">)</span>
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<pre>(8523, 46)</pre>
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<pre>(5681, 44)</pre>
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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>Item_Weight</th>
      <th>Item_Visibility</th>
      <th>Item_MRP</th>
      <th>Item_Outlet_Sales</th>
      <th>Price_PerUnit</th>
      <th>Item_Fat_Content_Low Fat</th>
      <th>Item_Fat_Content_Regular</th>
      <th>Item_Type_Baking Goods</th>
      <th>Item_Type_Breads</th>
      <th>Item_Type_Breakfast</th>
      <th>...</th>
      <th>Outlet_Location_Type_Tier 1</th>
      <th>Outlet_Location_Type_Tier 2</th>
      <th>Outlet_Location_Type_Tier 3</th>
      <th>Outlet_Type_Grocery Store</th>
      <th>Outlet_Type_Supermarket Type1</th>
      <th>Outlet_Type_Supermarket Type2</th>
      <th>Outlet_Type_Supermarket Type3</th>
      <th>Item_ID_DR</th>
      <th>Item_ID_FD</th>
      <th>Item_ID_NC</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>9.30</td>
      <td>0.016047</td>
      <td>249.8092</td>
      <td>3735.1380</td>
      <td>14.951963</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>...</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>5.92</td>
      <td>0.019278</td>
      <td>48.2692</td>
      <td>443.4228</td>
      <td>9.186454</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <th>2</th>
      <td>17.50</td>
      <td>0.016760</td>
      <td>141.6180</td>
      <td>2097.2700</td>
      <td>14.809346</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>...</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>19.20</td>
      <td>0.000000</td>
      <td>182.0950</td>
      <td>732.3800</td>
      <td>4.021967</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
    </tr>
    <tr>
      <th>4</th>
      <td>8.93</td>
      <td>0.000000</td>
      <td>53.8614</td>
      <td>994.7052</td>
      <td>18.467868</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>...</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>1</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>1</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 46 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Standard Scaling</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">StandardScaler</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">newtrain</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">new_train</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span><span class="o">.</span><span class="n">columns</span><span class="o">=</span><span class="n">newtrain</span><span class="o">.</span><span class="n">columns</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span><span class="o">.</span><span class="n">head</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>Item_Weight</th>
      <th>Item_Visibility</th>
      <th>Item_MRP</th>
      <th>Item_Outlet_Sales</th>
      <th>Price_PerUnit</th>
      <th>Item_Fat_Content_Low Fat</th>
      <th>Item_Fat_Content_Regular</th>
      <th>Item_Type_Baking Goods</th>
      <th>Item_Type_Breads</th>
      <th>Item_Type_Breakfast</th>
      <th>...</th>
      <th>Outlet_Location_Type_Tier 1</th>
      <th>Outlet_Location_Type_Tier 2</th>
      <th>Outlet_Location_Type_Tier 3</th>
      <th>Outlet_Type_Grocery Store</th>
      <th>Outlet_Type_Supermarket Type1</th>
      <th>Outlet_Type_Supermarket Type2</th>
      <th>Outlet_Type_Supermarket Type3</th>
      <th>Item_ID_DR</th>
      <th>Item_ID_FD</th>
      <th>Item_ID_NC</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>-0.237664</td>
      <td>-0.970732</td>
      <td>1.747454</td>
      <td>0.910601</td>
      <td>-0.051536</td>
      <td>0.738147</td>
      <td>-0.738147</td>
      <td>-0.286855</td>
      <td>-0.174193</td>
      <td>-0.114346</td>
      <td>...</td>
      <td>1.602840</td>
      <td>-0.696678</td>
      <td>-0.804732</td>
      <td>-0.381529</td>
      <td>0.726802</td>
      <td>-0.349551</td>
      <td>-0.351028</td>
      <td>-0.321627</td>
      <td>0.625708</td>
      <td>-0.480558</td>
    </tr>
    <tr>
      <th>1</th>
      <td>-0.780886</td>
      <td>-0.908111</td>
      <td>-1.489023</td>
      <td>-1.018440</td>
      <td>-0.678759</td>
      <td>-1.354743</td>
      <td>1.354743</td>
      <td>-0.286855</td>
      <td>-0.174193</td>
      <td>-0.114346</td>
      <td>...</td>
      <td>-0.623893</td>
      <td>-0.696678</td>
      <td>1.242650</td>
      <td>-0.381529</td>
      <td>-1.375891</td>
      <td>2.860816</td>
      <td>-0.351028</td>
      <td>3.109193</td>
      <td>-1.598190</td>
      <td>-0.480558</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1.080211</td>
      <td>-0.956917</td>
      <td>0.010040</td>
      <td>-0.049238</td>
      <td>-0.067051</td>
      <td>0.738147</td>
      <td>-0.738147</td>
      <td>-0.286855</td>
      <td>-0.174193</td>
      <td>-0.114346</td>
      <td>...</td>
      <td>1.602840</td>
      <td>-0.696678</td>
      <td>-0.804732</td>
      <td>-0.381529</td>
      <td>0.726802</td>
      <td>-0.349551</td>
      <td>-0.351028</td>
      <td>-0.321627</td>
      <td>0.625708</td>
      <td>-0.480558</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1.353429</td>
      <td>-1.281758</td>
      <td>0.660050</td>
      <td>-0.849103</td>
      <td>-1.240598</td>
      <td>-1.354743</td>
      <td>1.354743</td>
      <td>-0.286855</td>
      <td>-0.174193</td>
      <td>-0.114346</td>
      <td>...</td>
      <td>-0.623893</td>
      <td>-0.696678</td>
      <td>1.242650</td>
      <td>2.621031</td>
      <td>-1.375891</td>
      <td>-0.349551</td>
      <td>-0.351028</td>
      <td>-0.321627</td>
      <td>0.625708</td>
      <td>-0.480558</td>
    </tr>
    <tr>
      <th>4</th>
      <td>-0.297129</td>
      <td>-1.281758</td>
      <td>-1.399220</td>
      <td>-0.695373</td>
      <td>0.330956</td>
      <td>0.738147</td>
      <td>-0.738147</td>
      <td>-0.286855</td>
      <td>-0.174193</td>
      <td>-0.114346</td>
      <td>...</td>
      <td>-0.623893</td>
      <td>-0.696678</td>
      <td>1.242650</td>
      <td>-0.381529</td>
      <td>0.726802</td>
      <td>-0.349551</td>
      <td>-0.351028</td>
      <td>-0.321627</td>
      <td>-1.598190</td>
      <td>2.080915</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 46 columns</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_test</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">newtest</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_test</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">new_test</span><span class="p">)</span>
<span class="n">new_test</span><span class="o">.</span><span class="n">columns</span><span class="o">=</span><span class="n">newtest</span><span class="o">.</span><span class="n">columns</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span><span class="o">.</span><span class="n">shape</span>
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<pre>(8523, 46)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_test</span><span class="o">.</span><span class="n">shape</span>
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<pre>(5681, 44)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">sklearn.cross_validation</span> <span class="k">import</span> <span class="n">train_test_split</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_train</span> <span class="o">=</span> <span class="n">new_train</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Price_PerUnit&quot;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">new_train</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y</span> <span class="o">=</span> <span class="n">new_train</span><span class="o">.</span><span class="n">Item_Outlet_Sales</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Decision Tree</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">DecisionTreeRegressor</span>
<span class="n">dtree</span> <span class="o">=</span> <span class="n">DecisionTreeRegressor</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Tune our training data</span>
<span class="n">model_tree</span> <span class="o">=</span> <span class="n">dtree</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Making the prediction</span>
<span class="n">pred_tree</span> <span class="o">=</span> <span class="n">dtree</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">new_test</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># scaling it back again</span>
<span class="n">scaleddata</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">fit_transform</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">train</span><span class="o">.</span><span class="n">Item_Outlet_Sales</span><span class="p">))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Applying Inverse</span>
<span class="n">modeledvalues</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">inverse_transform</span><span class="p">(</span><span class="n">pred_tree</span><span class="p">)</span>
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<pre>array([-0.28568557, -0.06679556, -0.84988334, ..., -0.39571584,
        2.96879135, -0.32938554])</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Solution Data Frame</span>
<span class="n">solution</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span> 
                         <span class="s2">&quot;Outlet_Identifier&quot;</span><span class="p">:</span> <span class="n">test</span><span class="o">.</span><span class="n">Outlet_Identifier</span><span class="p">,</span>
                        <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">:</span><span class="n">modeledvalues</span><span class="p">})</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">solution</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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        vertical-align: top;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Outlet_Identifier</th>
      <th>Item_Outlet_Sales</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>OUT049</td>
      <td>1693.7952</td>
    </tr>
    <tr>
      <th>1</th>
      <td>OUT017</td>
      <td>2067.3090</td>
    </tr>
    <tr>
      <th>2</th>
      <td>OUT010</td>
      <td>731.0484</td>
    </tr>
    <tr>
      <th>3</th>
      <td>OUT017</td>
      <td>4287.7520</td>
    </tr>
    <tr>
      <th>4</th>
      <td>OUT027</td>
      <td>7170.6660</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Export it back into the system</span>
<span class="n">solution</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;Decision Tree Model.csv&quot;</span><span class="p">)</span> <span class="c1"># RMSE 1600</span>
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<pre>C:\Users\Classroom
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Decision Tree</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="k">import</span> <span class="n">RandomForestRegressor</span>
<span class="n">rf</span> <span class="o">=</span><span class="n">RandomForestRegressor</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Tune our training data</span>
<span class="n">model_rf</span> <span class="o">=</span> <span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>

<span class="c1"># Making the prediction</span>
<span class="n">pred_rf</span> <span class="o">=</span> <span class="n">rf</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">new_test</span><span class="p">)</span>

<span class="c1"># Applying Inverse</span>
<span class="n">modeledvalues</span> <span class="o">=</span> <span class="n">sc</span><span class="o">.</span><span class="n">inverse_transform</span><span class="p">(</span><span class="n">pred_rf</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Solution Data Frame</span>
<span class="n">solution</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span> 
                         <span class="s2">&quot;Outlet_Identifier&quot;</span><span class="p">:</span> <span class="n">test</span><span class="o">.</span><span class="n">Outlet_Identifier</span><span class="p">,</span>
                        <span class="s2">&quot;Item_Outlet_Sales&quot;</span><span class="p">:</span><span class="n">modeledvalues</span><span class="p">})</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Export it back into the system</span>
<span class="n">solution</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;RF Model.csv&quot;</span><span class="p">)</span> <span class="c1"># rmse 1264</span>
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