Image Classifier Project.html

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

<title>Image Classifier Project</title>

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
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.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
    
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }

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

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<style type="text/css">
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<h1 id="Developing-an-AI-application">Developing an AI application<a class="anchor-link" href="#Developing-an-AI-application">&#182;</a></h1><p>Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software development in the future will be using these types of models as common parts of applications.</p>
<p>In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application. We'll be using <a href="http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html">this dataset</a> of 102 flower categories, you can see a few examples below.</p>
<p><img src='assets/Flowers.png' width=500px></p>
<p>The project is broken down into multiple steps:</p>
<ul>
<li>Load and preprocess the image dataset</li>
<li>Train the image classifier on your dataset</li>
<li>Use the trained classifier to predict image content</li>
</ul>
<p>We'll lead you through each part which you'll implement in Python.</p>
<p>When you've completed this project, you'll have an application that can be trained on any set of labeled images. Here your network will be learning about flowers and end up as a command line application. But, what you do with your new skills depends on your imagination and effort in building a dataset. For example, imagine an app where you take a picture of a car, it tells you what the make and model is, then looks up information about it. Go build your own dataset and make something new.</p>
<p>First up is importing the packages you'll need. It's good practice to keep all the imports at the beginning of your code. As you work through this notebook and find you need to import a package, make sure to add the import up here.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Imports here</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;

<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">torch</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">nn</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">optim</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span><span class="p">,</span> <span class="n">models</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</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">os</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sb</span>
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<h2 id="Load-the-data">Load the data<a class="anchor-link" href="#Load-the-data">&#182;</a></h2><p>Here you'll use <code>torchvision</code> to load the data (<a href="http://pytorch.org/docs/0.3.0/torchvision/index.html">documentation</a>). The data should be included alongside this notebook, otherwise you can <a href="https://s3.amazonaws.com/content.udacity-data.com/nd089/flower_data.tar.gz">download it here</a>. The dataset is split into three parts, training, validation, and testing. For the training, you'll want to apply transformations such as random scaling, cropping, and flipping. This will help the network generalize leading to better performance. You'll also need to make sure the input data is resized to 224x224 pixels as required by the pre-trained networks.</p>
<p>The validation and testing sets are used to measure the model's performance on data it hasn't seen yet. For this you don't want any scaling or rotation transformations, but you'll need to resize then crop the images to the appropriate size.</p>
<p>The pre-trained networks you'll use were trained on the ImageNet dataset where each color channel was normalized separately. For all three sets you'll need to normalize the means and standard deviations of the images to what the network expects. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>, calculated from the ImageNet images.  These values will shift each color channel to be centered at 0 and range from -1 to 1.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;assets/flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">valid_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">train_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>
<span class="n">valid_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span><span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">validloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">images</span> <span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="nb">next</span><span class="p">(</span><span class="nb">iter</span><span class="p">(</span><span class="n">trainloader</span><span class="p">))</span>
<span class="n">images</span><span class="o">.</span><span class="n">size</span><span class="p">()</span>
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<pre>torch.Size([32, 3, 224, 224])</pre>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. If you want to talk through it with someone, chat with your fellow students! You can also ask questions on the forums or join the instructors in office hours.</p>
<p>Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">model</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Freeze Parameter</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>

<span class="c1"># Define my own classifier</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</span>
<span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">OrderedDict</span><span class="p">([</span>
    <span class="p">(</span><span class="s1">&#39;fc1&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span><span class="mi">4096</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
    <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;fc2&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">4096</span><span class="p">,</span><span class="mi">2048</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
    <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;fc3&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">2048</span><span class="p">,</span><span class="nb">len</span><span class="p">(</span><span class="n">cat_to_name</span><span class="o">.</span><span class="n">keys</span><span class="p">()))),</span>
    <span class="p">(</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
<span class="p">]))</span>

<span class="c1"># replace current model&#39;s classifier</span>
<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span><span class="n">lr</span><span class="o">=</span><span class="mf">0.0001</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">):</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span><span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
        <span class="n">equality</span> <span class="o">=</span> <span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">data</span> <span class="o">==</span> <span class="n">ps</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">equality</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    <span class="k">return</span> <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">epochs</span> <span class="o">=</span> <span class="mi">3</span>
<span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">print_every</span> <span class="o">=</span><span class="mi">40</span>
<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
<span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">ii</span><span class="p">,</span> <span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">trainloader</span><span class="p">):</span>
        <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
        
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span><span class="n">labels</span><span class="p">)</span>
        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
        <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> 
        
        <span class="k">if</span> <span class="n">steps</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span><span class="n">criterion</span><span class="p">)</span>
            
            <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
                  <span class="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                  <span class="s2">&quot;Test Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)))</span>
            
            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch: 1/3..  Training Loss: 4.025..  Test Loss: 2.966..  Test Accuracy: 0.340
Epoch: 1/3..  Training Loss: 2.825..  Test Loss: 1.844..  Test Accuracy: 0.566
Epoch: 1/3..  Training Loss: 2.080..  Test Loss: 1.294..  Test Accuracy: 0.645
Epoch: 1/3..  Training Loss: 1.736..  Test Loss: 1.018..  Test Accuracy: 0.729
Epoch: 1/3..  Training Loss: 1.446..  Test Loss: 0.744..  Test Accuracy: 0.796
Epoch: 2/3..  Training Loss: 1.164..  Test Loss: 0.668..  Test Accuracy: 0.824
Epoch: 2/3..  Training Loss: 1.242..  Test Loss: 0.606..  Test Accuracy: 0.834
Epoch: 2/3..  Training Loss: 1.075..  Test Loss: 0.598..  Test Accuracy: 0.831
Epoch: 2/3..  Training Loss: 1.043..  Test Loss: 0.529..  Test Accuracy: 0.851
Epoch: 2/3..  Training Loss: 1.007..  Test Loss: 0.585..  Test Accuracy: 0.848
Epoch: 3/3..  Training Loss: 0.954..  Test Loss: 0.478..  Test Accuracy: 0.870
Epoch: 3/3..  Training Loss: 0.923..  Test Loss: 0.501..  Test Accuracy: 0.854
Epoch: 3/3..  Training Loss: 0.849..  Test Loss: 0.466..  Test Accuracy: 0.875
Epoch: 3/3..  Training Loss: 0.849..  Test Loss: 0.477..  Test Accuracy: 0.873
Epoch: 3/3..  Training Loss: 0.860..  Test Loss: 0.443..  Test Accuracy: 0.867
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">test_loss</span><span class="p">,</span><span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span><span class="n">testloader</span><span class="p">,</span><span class="n">criterion</span><span class="p">)</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
            <span class="s2">&quot;Test Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)),</span>
            <span class="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)))</span>
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<pre>Epoch: 1/3..  Test Loss: 0.051..  Test Accuracy: 0.863
Epoch: 2/3..  Test Loss: 0.051..  Test Accuracy: 0.859
Epoch: 3/3..  Test Loss: 0.051..  Test Accuracy: 0.860
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
        <span class="n">images</span><span class="p">,</span><span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">_</span><span class="p">,</span><span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">data</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">total</span> <span class="o">+=</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
        <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">ps</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy of the network on test images: </span><span class="si">%d</span><span class="s1"> </span><span class="si">%%</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">))</span>
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<pre>Accuracy of the network on test images: 86 %
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>
<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;input_size&quot;</span><span class="p">:</span><span class="mi">224</span><span class="p">,</span>
    <span class="s2">&quot;output_size&quot;</span><span class="p">:</span><span class="mi">102</span><span class="p">,</span>
    <span class="s2">&quot;epochs&quot;</span><span class="p">:</span><span class="mi">5</span><span class="p">,</span>
    <span class="s2">&quot;dropout&quot;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s2">&quot;classifier_layers&quot;</span><span class="p">:[</span><span class="mi">25088</span><span class="p">,</span><span class="mi">4096</span><span class="p">,</span><span class="mi">2048</span><span class="p">],</span>
    <span class="s2">&quot;optimizer_state_dict&quot;</span><span class="p">:</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span><span class="p">,</span>
    <span class="s2">&quot;class_to_idx&quot;</span><span class="p">:</span><span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
    <span class="s2">&quot;state_dict&quot;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()}</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint_and_build_model</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
    <span class="n">classifier_layers</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;classifier_layers&#39;</span><span class="p">]</span>
    <span class="n">d</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;dropout&#39;</span><span class="p">]</span>
    <span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">OrderedDict</span><span class="p">([</span>
        <span class="p">(</span><span class="s1">&#39;fc1&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">classifier_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">classifier_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">])),</span>
        <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
        <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">d</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;fc2&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">classifier_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">classifier_layers</span><span class="p">[</span><span class="mi">2</span><span class="p">])),</span>
        <span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
        <span class="p">(</span><span class="s1">&#39;dropout&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">d</span><span class="p">)),</span>
        <span class="p">(</span><span class="s1">&#39;fc3&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">classifier_layers</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;output_size&#39;</span><span class="p">])),</span>
        <span class="p">(</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
    <span class="p">]))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">checkm</span> <span class="o">=</span> <span class="n">load_checkpoint_and_build_model</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">checkm</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu): ReLU()
    (dropout): Dropout(p=0.5)
    (fc2): Linear(in_features=4096, out_features=2048, bias=True)
    (fc3): Linear(in_features=2048, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">size</span> <span class="o">=</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span>
    <span class="n">im</span>  <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">im</span><span class="o">.</span><span class="n">thumbnail</span><span class="p">(</span><span class="n">size</span><span class="p">)</span>
    
    <span class="n">width</span><span class="p">,</span> <span class="n">height</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">size</span>
    <span class="n">new_width</span><span class="p">,</span> <span class="n">new_height</span> <span class="o">=</span> <span class="mi">224</span><span class="p">,</span><span class="mi">224</span>
    
    <span class="n">left</span> <span class="o">=</span> <span class="p">(</span><span class="n">width</span> <span class="o">-</span> <span class="n">new_width</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">top</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span> <span class="o">-</span> <span class="n">new_height</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">right</span> <span class="o">=</span> <span class="p">(</span><span class="n">width</span> <span class="o">+</span> <span class="n">new_width</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">bottom</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span> <span class="o">+</span> <span class="n">new_height</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>

    <span class="n">im</span> <span class="o">=</span><span class="n">im</span><span class="o">.</span><span class="n">crop</span><span class="p">((</span><span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span><span class="p">))</span>
    
    <span class="n">np_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">im</span><span class="p">)</span>
    <span class="n">np_image</span> <span class="o">=</span> <span class="n">np_image</span> <span class="o">/</span> <span class="mi">255</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">np_image</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_image</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span> <span class="o">/</span> <span class="n">std</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">np_image</span><span class="p">,(</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>

    <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">test_a</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="s1">&#39;assets/flowers/test/1/image_06743.jpg&#39;</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">test_a</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f7416750f60&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class="prompt input_prompt">In&nbsp;[19]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="n">model</span><span class="o">.</span><span class="n">double</span><span class="p">()</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
        <span class="n">ps</span><span class="p">,</span><span class="n">ps_labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">topk</span><span class="p">)</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
    <span class="n">idx_to_class</span> <span class="o">=</span> <span class="p">{</span><span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">[</span><span class="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">}</span>
    <span class="n">top_class</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">ps_labels</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]:</span>
        <span class="n">top_class</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">idx_to_class</span><span class="p">[</span><span class="n">label</span><span class="p">])</span>
    <span class="k">return</span> <span class="n">ps</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span> <span class="n">top_class</span>
    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">path</span> <span class="o">=</span> <span class="s1">&#39;assets/flowers/test/99/image_07833.jpg&#39;</span>
<span class="c1">#image = process_image(path).to(&#39;cuda&#39;).unsqueeze(0)</span>
<span class="n">prob</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">checkm</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">prob</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[0.82194555 0.16458313 0.00540542 0.0039861  0.00237367]
[&#39;99&#39;, &#39;73&#39;, &#39;81&#39;, &#39;88&#39;, &#39;78&#39;]
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="n">test_image</span> <span class="o">=</span> <span class="s1">&#39;assets/flowers/test/51/image_01407.jpg&#39;</span>
<span class="n">tps</span><span class="p">,</span> <span class="n">tclass</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">test_image</span><span class="p">,</span><span class="n">checkm</span><span class="p">)</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">test_image</span><span class="p">)</span>
<span class="n">max_index</span> <span class="o">=</span> <span class="n">tclass</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>

<span class="n">fig</span> <span class="o">=</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">axs</span> <span class="o">=</span> <span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="p">)</span>
<span class="n">axs</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
<span class="n">axs</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">max_index</span><span class="p">)])</span>
<span class="n">axs</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
<span class="n">labels</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">class_idx</span> <span class="ow">in</span> <span class="n">tclass</span><span class="p">:</span>
    <span class="n">labels</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">class_idx</span><span class="p">])</span>

<span class="n">ax2</span><span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
<span class="n">yp</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">yp</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">labels</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">yp</span><span class="p">,</span> <span class="n">tps</span><span class="p">,</span> <span class="n">xerr</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;blue&#39;</span><span class="p">)</span>

<span class="n">ax2</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>

<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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