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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;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_train</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                           <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span><span class="o">.</span><span class="mi">456</span><span class="p">,</span><span class="o">.</span><span class="mi">406</span><span class="p">],</span> <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span><span class="o">.</span><span class="mi">224</span><span class="p">,</span><span class="o">.</span><span class="mi">225</span><span class="p">])])</span>

<span class="n">data_transforms_val</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                           <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span><span class="o">.</span><span class="mi">456</span><span class="p">,</span><span class="o">.</span><span class="mi">406</span><span class="p">],</span> <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span><span class="o">.</span><span class="mi">224</span><span class="p">,</span><span class="o">.</span><span class="mi">225</span><span class="p">])])</span>

<span class="n">data_transforms_test</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                           <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span><span class="o">.</span><span class="mi">456</span><span class="p">,</span><span class="o">.</span><span class="mi">406</span><span class="p">],</span> <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span><span class="o">.</span><span class="mi">224</span><span class="p">,</span><span class="o">.</span><span class="mi">225</span><span class="p">])])</span>
<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">image_datasets_train</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span><span class="n">transform</span> <span class="o">=</span> <span class="n">data_transforms_train</span><span class="p">)</span>
<span class="n">image_datasets_val</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span><span class="n">transform</span> <span class="o">=</span> <span class="n">data_transforms_val</span><span class="p">)</span>
<span class="n">image_datasets_test</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span><span class="n">transform</span> <span class="o">=</span> <span class="n">data_transforms_test</span><span class="p">)</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">dataloaders_train</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets_train</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">dataloaders_val</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets_val</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">dataloaders_test</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets_test</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><strong>Note for Workspace users:</strong> If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>

<span class="c1">#loading model</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">model</span>
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<pre>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, 99041095.90it/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): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#freeze pretrained model paramters</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
    
<span class="c1">#Create new feedforward nerwork and update classifier</span>
<span class="k">def</span> <span class="nf">network</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">input_features</span> <span class="o">=</span> <span class="mi">25088</span><span class="p">,</span> <span class="n">h1</span> <span class="o">=</span> <span class="mi">4096</span><span class="p">,</span><span class="n">h2</span> <span class="o">=</span> <span class="mi">1024</span><span class="p">,</span> <span class="n">out</span> <span class="o">=</span> <span class="mi">102</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">Linear</span><span class="p">(</span><span class="n">input_features</span><span class="p">,</span><span class="n">h1</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">p</span> <span class="o">=</span> <span class="mf">0.4</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">h1</span><span class="p">,</span><span class="n">h2</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">p</span> <span class="o">=</span> <span class="mf">0.4</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">h2</span><span class="p">,</span><span class="n">out</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="k">return</span> <span class="n">model</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">network</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
<span class="n">model</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.4)
    (3): Linear(in_features=4096, out_features=1024, bias=True)
    (4): ReLU()
    (5): Dropout(p=0.4)
    (6): Linear(in_features=1024, out_features=102, bias=True)
    (7): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Use GPU if available</span>
<span class="k">with</span> <span class="n">active_session</span><span class="p">():</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">#training the new feedforward classifier</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="o">.</span><span class="mi">001</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">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">epoch</span> <span class="o">=</span> <span class="mi">13</span>

    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epoch</span><span class="p">):</span>
        <span class="n">train_loss</span> <span class="o">=</span> <span class="mi">0</span>
    
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">dataloaders_train</span><span class="p">:</span>
        
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="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">prediction</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</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">prediction</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">train_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="c1">#implementing validation run</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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
            <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">val_loss</span> <span class="o">=</span> <span class="mi">0</span>
            
            <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">dataloaders_val</span><span class="p">:</span>
                <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="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">prediction</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</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">prediction</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                <span class="n">val_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="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">prediction</span><span class="p">)</span>
                <span class="n">top_prob</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="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">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
                
            <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Training loss:&#39;</span><span class="p">,</span> <span class="n">train_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders_train</span><span class="p">)</span> <span class="p">)</span>
            <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Validation loss:&#39;</span><span class="p">,</span> <span class="n">val_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders_val</span><span class="p">)</span> <span class="p">)</span>
            <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy:&#39;</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_val</span><span class="p">)</span> <span class="p">)</span>
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<pre>Training loss: 3.1482773612185224
Validation loss: 1.3475280220691974
Accuracy: 0.6383547003452594
Training loss: 1.9705027051088286
Validation loss: 0.9417316627043945
Accuracy: 0.7371794879436493
Training loss: 1.7343954298554398
Validation loss: 0.8314243532144107
Accuracy: 0.7841880344427549
Training loss: 1.605624237002396
Validation loss: 0.7554896645821058
Accuracy: 0.794871795635957
Training loss: 1.626310766906273
Validation loss: 0.8029406873079447
Accuracy: 0.8007478622289804
Training loss: 1.5757413189585616
Validation loss: 0.648298944418247
Accuracy: 0.8315972227316636
Training loss: 1.4905698601792499
Validation loss: 0.679124056146695
Accuracy: 0.8189102571744186
Training loss: 1.4486537107607214
Validation loss: 0.6455715814462075
Accuracy: 0.8340010688855097
Training loss: 1.4253943774758315
Validation loss: 0.6574525328782889
Accuracy: 0.8502938036735241
Training loss: 1.44205737404707
Validation loss: 0.5813354975902117
Accuracy: 0.8541666659025046
Training loss: 1.4461812798569842
Validation loss: 0.6701740737144763
Accuracy: 0.853231838116279
Training loss: 1.4109914526706788
Validation loss: 0.60850790143013
Accuracy: 0.8649839735948123
Training loss: 1.3836318990079368
Validation loss: 0.5799185140774801
Accuracy: 0.8592414535008944
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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">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="o">.</span><span class="mi">001</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="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">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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="n">accuracy_test</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
            
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">dataloaders_test</span><span class="p">:</span>
        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="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">prediction</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</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">prediction</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">loss</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">prediction</span><span class="p">)</span>
        <span class="n">top_prob</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="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_test</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">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
                
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy:&#39;</span><span class="p">,</span> <span class="n">accuracy_test</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">dataloaders_test</span><span class="p">)</span> <span class="p">)</span>
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<pre>Accuracy: 0.8409033394776858
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">image_datasets_train</span><span class="o">.</span><span class="n">class_to_idx</span>

<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;input_feat&#39;</span><span class="p">:</span> <span class="mi">25088</span><span class="p">,</span>
             <span class="s1">&#39;h1&#39;</span><span class="p">:</span> <span class="mi">4096</span><span class="p">,</span>
             <span class="s1">&#39;h2&#39;</span><span class="p">:</span> <span class="mi">1024</span><span class="p">,</span>
             <span class="s1">&#39;out&#39;</span><span class="p">:</span> <span class="mi">102</span><span class="p">,</span>
             <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
             <span class="s1">&#39;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="p">}</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>

<span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="n">file</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">file</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">network</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;input_feat&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;h1&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;h2&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;out&#39;</span><span class="p">])</span>
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    
    
    <span class="k">return</span> <span class="n">model</span>

<span class="n">model</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>  
<span class="n">model</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.4)
    (3): Linear(in_features=4096, out_features=1024, bias=True)
    (4): ReLU()
    (5): Dropout(p=0.4)
    (6): Linear(in_features=1024, out_features=102, bias=True)
    (7): LogSoftmax()
  )
)</pre>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">img_transform</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="o">.</span><span class="mi">485</span><span class="p">,</span><span class="o">.</span><span class="mi">456</span><span class="p">,</span><span class="o">.</span><span class="mi">406</span><span class="p">],</span> <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span><span class="o">.</span><span class="mi">224</span><span class="p">,</span><span class="o">.</span><span class="mi">225</span><span class="p">])])</span>
    <span class="k">return</span> <span class="n">img_transform</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
    
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>

<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">test_dir</span> <span class="o">+</span> <span class="s1">&#39;/1&#39;</span> <span class="o">+</span> <span class="s1">&#39;/image_06752.jpg&#39;</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f0ee0cef5c0&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="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">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
    <span class="n">image</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</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">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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
        <span class="n">prediction</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
        <span class="n">probabilities</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">prediction</span><span class="p">)</span>
        <span class="n">top_prob</span><span class="p">,</span><span class="n">top_class</span> <span class="o">=</span>  <span class="n">probabilities</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="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
        
        <span class="n">categories</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="n">cat_name</span> <span class="o">=</span> <span class="p">[]</span>
        <span class="c1">#inverting class_to_idx dict</span>
        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">top_class</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="mi">5</span><span class="p">,)</span><span class="o">.</span><span class="n">numpy</span><span class="p">()):</span>
            <span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
                <span class="k">if</span> <span class="n">idx</span> <span class="o">==</span> <span class="n">v</span><span class="p">:</span>
                    <span class="n">categories</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">k</span><span class="p">)</span>
        
        
        <span class="c1">#mapping index to flower names</span>
        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">categories</span><span class="p">:</span>
            <span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">cat_to_name</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
                <span class="k">if</span> <span class="n">i</span><span class="o">==</span><span class="n">k</span><span class="p">:</span>
                    <span class="n">cat_name</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">v</span><span class="p">)</span>
        
    
    <span class="k">return</span> <span class="n">top_prob</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="mi">5</span><span class="p">,)</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">tolist</span><span class="p">(),</span> <span class="n">cat_name</span>
        

    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
<span class="n">prob</span><span class="p">,</span> <span class="n">class_name</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">test_dir</span> <span class="o">+</span> <span class="s1">&#39;/1&#39;</span> <span class="o">+</span> <span class="s1">&#39;/image_06752.jpg&#39;</span><span class="p">,</span><span class="n">model</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">prob</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">class_name</span><span class="p">)</span>
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<pre>[0.6538390517234802, 0.1262666881084442, 0.07576004415750504, 0.06187572330236435, 0.01342606358230114]
[&#39;pink primrose&#39;, &#39;pelargonium&#39;, &#39;balloon flower&#39;, &#39;spring crocus&#39;, &#39;californian poppy&#39;]
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">test_dir</span> <span class="o">+</span> <span class="s1">&#39;/1&#39;</span> <span class="o">+</span> <span class="s1">&#39;/image_06752.jpg&#39;</span><span class="p">))</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_axes</span><span class="p">([</span><span class="mi">0</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="mi">1</span><span class="p">])</span>
<span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">class_name</span><span class="p">,</span><span class="n">prob</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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