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">pandas</span> <span class="k">as</span> <span class="nn">pd</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">data_transforms</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;train&quot;</span><span class="p">:</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="s2">&quot;valid&quot;</span><span class="p">:</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="s2">&quot;test&quot;</span><span class="p">:</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="p">}</span>

<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">image_datasets</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;train&quot;</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">data_transforms</span><span class="p">[</span><span class="s2">&quot;train&quot;</span><span class="p">]),</span>
    <span class="s2">&quot;valid&quot;</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">data_transforms</span><span class="p">[</span><span class="s2">&quot;valid&quot;</span><span class="p">]),</span> 
    <span class="s2">&quot;test&quot;</span><span class="p">:</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">data_transforms</span><span class="p">[</span><span class="s2">&quot;test&quot;</span><span class="p">]),</span>
<span class="p">}</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">dataloaders</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s2">&quot;train&quot;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s2">&quot;train&quot;</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="s2">&quot;valid&quot;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s2">&quot;valid&quot;</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="s2">&quot;test&quot;</span><span class="p">:</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">image_datasets</span><span class="p">[</span><span class="s2">&quot;test&quot;</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="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="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"># TODO: Build and train your network</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="c1"># Freeze parameters so we don&#39;t backprop through them</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">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</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">nn</span><span class="o">.</span><span class="n">ReLU</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="mf">0.2</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">102</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="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>

<span class="n">epochs</span> <span class="o">=</span> <span class="mi">20</span>
<span class="n">train_losses</span><span class="p">,</span> <span class="n">test_losses</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</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">dataloaders</span><span class="p">[</span><span class="s2">&quot;train&quot;</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">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        
        <span class="n">log_ps</span> <span class="o">=</span> <span class="n">model</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">log_ps</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">else</span><span class="p">:</span>
        <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
        <span class="c1"># Turn off gradients for validation, saves memory and computations</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">dataloaders</span><span class="p">[</span><span class="s2">&quot;test&quot;</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">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
                <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">log_ps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                
                <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">log_ps</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="n">train_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;train&quot;</span><span class="p">]))</span>
        <span class="n">test_losses</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">test_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;test&quot;</span><span class="p">]))</span>

        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
              <span class="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;train&quot;</span><span class="p">])),</span>
              <span class="s2">&quot;Test Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;test&quot;</span><span class="p">])),</span>
              <span class="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;test&quot;</span><span class="p">])))</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: 1/5..  Training Loss: 3.010..  Test Loss: 0.884..  Test Accuracy: 0.757
Epoch: 2/5..  Training Loss: 1.117..  Test Loss: 0.647..  Test Accuracy: 0.824
Epoch: 3/5..  Training Loss: 0.904..  Test Loss: 0.665..  Test Accuracy: 0.818
Epoch: 4/5..  Training Loss: 0.805..  Test Loss: 0.629..  Test Accuracy: 0.846
Epoch: 5/5..  Training Loss: 0.784..  Test Loss: 0.487..  Test Accuracy: 0.861
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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">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">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;imageclassifierproject.pth&#39;</span><span class="p">)</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">train_losses</span><span class="p">,</span> <span class="n">test_losses</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[]</span>

<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>

<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</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="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">dataloaders</span><span class="p">[</span><span class="s2">&quot;valid&quot;</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">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>

        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">log_ps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">log_ps</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="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders</span><span class="p">[</span><span class="s2">&quot;valid&quot;</span><span class="p">])))</span>
<span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Test Accuracy: 0.875
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Dropout(p=0.2)
    (1): Linear(in_features=25088, out_features=4096, bias=True)
    (2): ReLU()
    (3): Dropout(p=0.2)
    (4): Linear(in_features=4096, out_features=102, bias=True)
    (5): LogSoftmax()
  )
)</pre>
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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">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;input_size&#39;</span><span class="p">:</span> <span class="mi">25088</span><span class="p">,</span>
              <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="mi">102</span><span class="p">,</span>
              <span class="s1">&#39;hidden_layer_size&#39;</span><span class="p">:</span> <span class="mi">4096</span><span class="p">,</span>
              <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="mf">0.001</span><span class="p">,</span>
              <span class="s1">&#39;dropout&#39;</span><span class="p">:</span> <span class="mf">0.2</span><span class="p">,</span>
              <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="mi">20</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="s1">&#39;classes_list&#39;</span><span class="p">:</span> <span class="n">image_datasets</span><span class="p">[</span><span class="s1">&#39;valid&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">classes</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;imageclassifierproject.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    
    <span class="n">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">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;dropout&quot;</span><span class="p">]),</span>
            <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;input_size&quot;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;hidden_layer_size&quot;</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="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;dropout&quot;</span><span class="p">]),</span>
            <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;hidden_layer_size&quot;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;output_size&quot;</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="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    
    <span class="n">classes_list</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;classes_list&quot;</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">classes_list</span>

<span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;imageclassifierproject.pth&#39;</span><span class="p">)</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:05&lt;00:00, 108167244.90it/s]
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<pre>(VGG(
   (features): Sequential(
     (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (1): ReLU(inplace)
     (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (3): ReLU(inplace)
     (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
     (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (6): ReLU(inplace)
     (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (8): ReLU(inplace)
     (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
     (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (11): ReLU(inplace)
     (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (13): ReLU(inplace)
     (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (15): ReLU(inplace)
     (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
     (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (18): ReLU(inplace)
     (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (20): ReLU(inplace)
     (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (22): ReLU(inplace)
     (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
     (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (25): ReLU(inplace)
     (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (27): ReLU(inplace)
     (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
     (29): ReLU(inplace)
     (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
   )
   (classifier): Sequential(
     (0): Dropout(p=0.2)
     (1): Linear(in_features=25088, out_features=4096, bias=True)
     (2): ReLU()
     (3): Dropout(p=0.2)
     (4): Linear(in_features=4096, out_features=102, bias=True)
     (5): LogSoftmax()
   )
 ),
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="n">trans</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
    
    <span class="k">return</span> <span class="n">trans</span><span class="p">(</span><span class="n">image</span><span class="p">)</span><span class="o">.</span><span class="n">float</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">image_input</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="s2">&quot;flowers/valid/1/image_06739.jpg&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image_input</span><span class="p">)</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>

<span class="n">image_output</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_input</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image_output</span><span class="p">)</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(628, 500, 3)
(1, 3, 224, 224)
</pre>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">&quot;flowers/valid/1/image_06739.jpg&quot;</span><span class="p">)))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fa037a906a0&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="c1"># TODO: Implement the code to predict the class from an image file</span>
<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">proc_image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">proc_image</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">log_ps</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="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="k">return</span> <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span>
    
    
<span class="n">image</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="s1">&#39;flowers/valid/1/image_06739.jpg&#39;</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;imageclassifierproject.pth&#39;</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="n">predict</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
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<pre>(tensor([[ 0.9753,  0.0109,  0.0046,  0.0036,  0.0028,  0.0007,  0.0006,
           0.0004,  0.0004,  0.0002,  0.0001,  0.0001,  0.0001,  0.0001,
           0.0000,  0.0000,  0.0000,  0.0000,  0.0000,  0.0000]]),
 tensor([[   0,   14,   87,   49,   90,   37,   50,   84,  100,   13,
            70,   99,   66,   64,   59,   12,   51,   53,   76,   61]]))</pre>
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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">view_prediction</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">classes_list</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</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
    
    <span class="c1"># invert order so it shows ordered in the bar graph</span>
    <span class="n">probs</span> <span class="o">=</span> <span class="n">probs</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
    <span class="n">classes</span> <span class="o">=</span> <span class="n">classes</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">][::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
    
    <span class="n">idxs</span> <span class="o">=</span> <span class="p">[</span><span class="n">classes_list</span><span class="p">[</span><span class="nb">id</span><span class="p">]</span> <span class="k">for</span> <span class="nb">id</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>
    <span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="nb">id</span><span class="p">)]</span> <span class="k">for</span> <span class="nb">id</span> <span class="ow">in</span> <span class="n">idxs</span><span class="p">]</span>
    
    <span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</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="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span><span class="mi">7</span><span class="p">),</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax1</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">ax1</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"># add last label (the most likely) as title</span>
    <span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span>
    
    <span class="n">ax2</span><span class="o">.</span><span class="n">set_aspect</span><span class="p">(</span><span class="mf">0.1</span><span class="p">)</span>
    <span class="n">ax2</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">probs</span><span class="p">)),</span> <span class="n">probs</span><span class="p">)</span>
    
    <span class="n">ax2</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">labels</span><span class="p">)))</span>
    
    <span class="n">ax2</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">labels</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="s1">&#39;small&#39;</span><span class="p">);</span>
    <span class="n">ax2</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">max</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span> <span class="o">+</span> <span class="mf">0.1</span><span class="p">)</span>

<span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span><span class="p">)</span>
<span class="n">model</span><span class="p">,</span> <span class="n">classes_list</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;imageclassifierproject.pth&#39;</span><span class="p">)</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="n">view_prediction</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">classes_list</span><span class="p">)</span>
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