Image Classifier Project.html

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

<title>Image Classifier Project</title>

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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 */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
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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">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">collections</span> <span class="k">import</span> <span class="n">OrderedDict</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">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
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<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;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">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">255</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">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">255</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">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">valid_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="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">64</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">64</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">64</span><span class="p">)</span>
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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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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>

<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. 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>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><strong>Note for Workspace users:</strong> If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</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>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Freeze only features parameters so we don&#39;t backprop through them</span>
<span class="c1"># instead of making new classifier, I would like to use the same structure as VGG16, </span>
<span class="c1"># but I just want to train classifier only. </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="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="n">bias</span><span class="o">=</span><span class="kc">True</span><span class="p">)),</span>
                          <span class="p">(</span><span class="s1">&#39;relu1&#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;dropout1&#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">128</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">True</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">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="c1"># Only train the classifier parameters, feature parameters are frozen</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">0.001</span><span class="p">)</span>

<span class="c1"># Use GPU if it&#39;s available</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>

<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</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)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.5)
    (fc2): Linear(in_features=4096, out_features=128, bias=True)
    (output): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">epochs</span> <span class="o">=</span> <span class="mi">15</span>
<span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">running_loss</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="k">for</span> <span class="n">epoch</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">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</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="c1"># Move input and label tensors to the default device</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="n">device</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="n">device</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">logps</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">logps</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">valid_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="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="k">for</span> <span class="n">inputs</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">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="n">device</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="n">device</span><span class="p">)</span>
                    <span class="n">logps</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">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                    
                    <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">batch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                    
                    <span class="c1"># Calculate accuracy</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">logps</span><span class="p">)</span>
                    <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</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="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                    <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</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">item</span><span class="p">()</span>
                    
            <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;Epoch {epoch+1}/</span><span class="si">{epochs}</span><span class="s2">.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Train loss: {running_loss/print_every:.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Valid loss: {valid_loss/len(validloader):.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Valid accuracy: {accuracy/len(validloader):.3f}&quot;</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 1/15.. Train loss: 5.749.. Valid loss: 1.655.. Valid accuracy: 0.589
Epoch 1/15.. Train loss: 2.091.. Valid loss: 0.946.. Valid accuracy: 0.752
Epoch 2/15.. Train loss: 1.734.. Valid loss: 0.787.. Valid accuracy: 0.797
Epoch 2/15.. Train loss: 1.461.. Valid loss: 0.626.. Valid accuracy: 0.834
Epoch 2/15.. Train loss: 1.426.. Valid loss: 0.580.. Valid accuracy: 0.834
Epoch 3/15.. Train loss: 1.342.. Valid loss: 0.580.. Valid accuracy: 0.842
Epoch 3/15.. Train loss: 1.288.. Valid loss: 0.595.. Valid accuracy: 0.841
Epoch 4/15.. Train loss: 1.233.. Valid loss: 0.526.. Valid accuracy: 0.857
Epoch 4/15.. Train loss: 1.223.. Valid loss: 0.522.. Valid accuracy: 0.868
Epoch 4/15.. Train loss: 1.150.. Valid loss: 0.435.. Valid accuracy: 0.889
Epoch 5/15.. Train loss: 1.097.. Valid loss: 0.437.. Valid accuracy: 0.884
Epoch 5/15.. Train loss: 1.111.. Valid loss: 0.428.. Valid accuracy: 0.893
Epoch 6/15.. Train loss: 1.174.. Valid loss: 0.490.. Valid accuracy: 0.876
Epoch 6/15.. Train loss: 1.090.. Valid loss: 0.468.. Valid accuracy: 0.888
Epoch 6/15.. Train loss: 1.145.. Valid loss: 0.435.. Valid accuracy: 0.880
Epoch 7/15.. Train loss: 1.097.. Valid loss: 0.468.. Valid accuracy: 0.875
Epoch 7/15.. Train loss: 1.090.. Valid loss: 0.466.. Valid accuracy: 0.882
Epoch 7/15.. Train loss: 1.093.. Valid loss: 0.439.. Valid accuracy: 0.892
Epoch 8/15.. Train loss: 1.072.. Valid loss: 0.393.. Valid accuracy: 0.910
Epoch 8/15.. Train loss: 1.114.. Valid loss: 0.454.. Valid accuracy: 0.889
Epoch 9/15.. Train loss: 1.152.. Valid loss: 0.404.. Valid accuracy: 0.910
Epoch 9/15.. Train loss: 1.129.. Valid loss: 0.416.. Valid accuracy: 0.905
Epoch 9/15.. Train loss: 1.044.. Valid loss: 0.392.. Valid accuracy: 0.903
Epoch 10/15.. Train loss: 0.992.. Valid loss: 0.425.. Valid accuracy: 0.902
Epoch 10/15.. Train loss: 1.072.. Valid loss: 0.388.. Valid accuracy: 0.896
Epoch 11/15.. Train loss: 1.048.. Valid loss: 0.470.. Valid accuracy: 0.888
Epoch 11/15.. Train loss: 1.141.. Valid loss: 0.451.. Valid accuracy: 0.895
Epoch 11/15.. Train loss: 1.049.. Valid loss: 0.399.. Valid accuracy: 0.899
Epoch 12/15.. Train loss: 1.005.. Valid loss: 0.400.. Valid accuracy: 0.912
Epoch 12/15.. Train loss: 0.944.. Valid loss: 0.432.. Valid accuracy: 0.911
Epoch 13/15.. Train loss: 1.042.. Valid loss: 0.473.. Valid accuracy: 0.898
Epoch 13/15.. Train loss: 0.981.. Valid loss: 0.505.. Valid accuracy: 0.891
Epoch 13/15.. Train loss: 1.001.. Valid loss: 0.476.. Valid accuracy: 0.900
Epoch 14/15.. Train loss: 0.996.. Valid loss: 0.505.. Valid accuracy: 0.887
Epoch 14/15.. Train loss: 1.005.. Valid loss: 0.503.. Valid accuracy: 0.900
Epoch 14/15.. Train loss: 1.065.. Valid loss: 0.480.. Valid accuracy: 0.893
Epoch 15/15.. Train loss: 1.009.. Valid loss: 0.422.. Valid accuracy: 0.910
Epoch 15/15.. Train loss: 0.996.. Valid loss: 0.491.. Valid accuracy: 0.904
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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">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="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="k">for</span> <span class="n">inputs</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">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="n">device</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="n">device</span><span class="p">)</span>
        <span class="n">logps</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">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>

        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">batch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="c1"># Calculate accuracy</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">logps</span><span class="p">)</span>
        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</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="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</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">item</span><span class="p">()</span>

<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;test loss: {test_loss/len(testloader):.3f}.. &quot;</span>
      <span class="n">f</span><span class="s2">&quot;test accuracy: {accuracy/len(testloader):.3f}&quot;</span><span class="p">)</span>
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<pre>test loss: 0.573.. test accuracy: 0.884
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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="s1">&#39;class_map&#39;</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="s1">&#39;optimizer&#39;</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="s1">&#39;classifier&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="p">,</span>
              <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="n">epochs</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">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="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="c1"># load saved model on GPU when cuda is available, otherwise on CPU</span>
    <span class="c1"># https://discuss.pytorch.org/t/problem-loading-model-trained-on-gpu/17745</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="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> \
                            <span class="k">else</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">map_location</span><span class="o">=</span><span class="k">lambda</span> <span class="n">storage</span><span class="p">,</span> <span class="n">loc</span><span class="p">:</span> <span class="n">storage</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">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_map&#39;</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">checkpoint</span><span class="p">[</span><span class="s1">&#39;classifier&#39;</span><span class="p">]</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">optimizer</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;optimizer&#39;</span><span class="p">]</span>
    <span class="n">epochs</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;epochs&#39;</span><span class="p">]</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="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epochs</span>
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<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(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.5)
    (fc2): Linear(in_features=4096, out_features=128, bias=True)
    (output): LogSoftmax()
  )
)</pre>
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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="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    
    <span class="c1"># load image</span>
    <span class="n">img</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="c1"># resize image 256 pixels</span>
    <span class="n">w</span><span class="p">,</span> <span class="n">h</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">size</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">img</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="nb">int</span><span class="p">(</span><span class="mi">256</span> <span class="o">*</span> <span class="n">h</span><span class="o">/</span><span class="n">w</span><span class="p">)))</span> <span class="k">if</span> <span class="n">w</span> <span class="o">&lt;</span> <span class="mi">256</span> <span class="k">else</span> <span class="n">img</span><span class="o">.</span><span class="n">resize</span><span class="p">((</span><span class="nb">int</span><span class="p">(</span><span class="mi">256</span> <span class="o">*</span> <span class="n">w</span><span class="o">/</span><span class="n">h</span><span class="p">),</span> <span class="mi">256</span><span class="p">))</span>
    
    <span class="c1"># crop image 224 x 224 by center</span>
    <span class="c1"># https://stackoverflow.com/questions/16646183/crop-an-image-in-the-centre-using-pil  </span>
    <span class="n">left</span> <span class="o">=</span> <span class="p">(</span><span class="n">img</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="o">-</span> <span class="mi">224</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">img</span><span class="o">.</span><span class="n">size</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mi">224</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">img</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="o">+</span> <span class="mi">224</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">img</span><span class="o">.</span><span class="n">size</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mi">224</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>

    <span class="c1"># Crop the center of the image</span>
    <span class="n">crop_img</span> <span class="o">=</span> <span class="n">img</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">bottom</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">top</span><span class="p">))</span>
    
    <span class="c1"># np_image</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">crop_img</span><span class="p">)</span> <span class="o">/</span> <span class="mf">255.0</span>

    <span class="c1"># Normalization</span>
    <span class="n">means</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">norm_image</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_image</span> <span class="o">-</span> <span class="n">means</span><span class="p">)</span> <span class="o">/</span> <span class="n">std</span>
    
    <span class="c1"># reorder</span>
    <span class="n">processed_image</span> <span class="o">=</span> <span class="n">norm_image</span><span class="o">.</span><span class="n">transpose</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">processed_image</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">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="c1"># Test image</span>
<span class="n">image_path</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test/11/&#39;</span> <span class="o">+</span> <span class="s1">&#39;image_03141.jpg&#39;</span>
<span class="n">img_test</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>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fb0bcdd2f28&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=" 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="c1"># TODO: Implement the code to predict the class from an image file</span>
    
    <span class="c1"># Use GPU if it&#39;s available</span>
    <span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
    
    <span class="c1"># https://pytorch.org/docs/stable/torch.html</span>
    <span class="n">inputs</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">))</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">unsqueeze</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    
    <span class="n">inputs</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="n">device</span><span class="p">)</span>
    <span class="n">logps</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">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">logps</span><span class="p">)</span>
    <span class="n">top_prob</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</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="c1"># https://stackoverflow.com/questions/49768306/pytorch-tensor-to-numpy-array</span>
    <span class="n">top_probs</span> <span class="o">=</span> <span class="n">top_prob</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</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">top_class</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>

    <span class="c1"># convert index to class</span>
    <span class="n">idx_to_class</span> <span class="o">=</span> <span class="p">{</span><span class="n">val</span><span class="p">:</span> <span class="n">key</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
    
    <span class="c1"># get class labels from top_class value</span>
    <span class="n">classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">idx_to_class</span><span class="p">[</span><span class="n">val</span><span class="p">]</span> <span class="k">for</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">top_class</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">top_probs</span><span class="p">,</span> <span class="n">classes</span>
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<div class=" highlight hl-ipython3"><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="nb">print</span><span class="p">(</span><span class="n">probs</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>[0.956681489944458, 0.04331362619996071, 1.9135786715196446e-06, 1.0841414450624143e-06, 9.91302158581675e-07]
[&#39;11&#39;, &#39;94&#39;, &#39;4&#39;, &#39;3&#39;, &#39;32&#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="k">def</span> <span class="nf">plot_predicts</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="n">img</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">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="n">topk</span><span class="p">)</span>
    <span class="n">names</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>

    <span class="c1"># https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.figure.html</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">4</span><span class="p">,</span> <span class="mi">10</span><span class="p">))</span>
    <span class="c1"># https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.subplot.html</span>
    <span class="n">ax</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">211</span><span class="p">)</span>

    <span class="n">plt</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="c1"># https://stackoverflow.com/questions/9295026/matplotlib-plots-removing-axis-legends-and-white-spaces</span>
    <span class="n">title</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">names</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
    <span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>

    <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">212</span><span class="p">)</span>
    <span class="c1"># https://seaborn.pydata.org/generated/seaborn.barplot.html</span>
    <span class="c1"># https://seaborn.pydata.org/tutorial/color_palettes.html</span>
    <span class="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">probs</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">names</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s2">&quot;Blues&quot;</span><span class="p">)[</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span> 

    <span class="c1"># https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots_adjust.html</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">(</span><span class="n">left</span><span class="o">=</span><span class="mf">0.125</span><span class="p">,</span> <span class="n">right</span><span class="o">=</span><span class="mf">0.9</span><span class="p">,</span> <span class="n">bottom</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> <span class="n">top</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">hspace</span> <span class="o">=</span> <span class="mf">0.05</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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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot_predicts</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="mi">5</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!!</span>jupyter nbconvert *.ipynb
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<pre>[&#39;[NbConvertApp] Converting notebook Image Classifier Project.ipynb to html&#39;,
 &#39;[NbConvertApp] Writing 769383 bytes to Image Classifier Project.html&#39;,
 &#39;[NbConvertApp] Converting notebook Image Classifier Project-zh.ipynb to html&#39;,
 &#39;[NbConvertApp] Writing 295106 bytes to Image Classifier Project-zh.html&#39;]</pre>
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<div class="prompt input_prompt">In&nbsp;[&nbsp;]:</div>
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