Image Classifier Project.html

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

<title>Image Classifier Project</title>

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

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

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

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

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

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

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

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

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">val_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span> <span class="n">transform</span> <span class="o">=</span> <span class="n">train_transforms</span><span class="p">)</span>
<span class="n">val_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span> <span class="o">=</span> <span class="n">val_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span> <span class="n">transform</span> <span class="o">=</span> <span class="n">test_transforms</span><span class="p">)</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">valoader</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">val_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">64</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><font color='red'>**Note for Workspace users:** 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 `ls -lh`), you should reduce the size of your hidden layers and train again.</font></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 and using gpu if available</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">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="c1"># Taking a look at model</span>
<span class="n">model</span> 
<span class="c1"># looks great</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, 101397012.37it/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"># Freezing parameters</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"># Creating our classifier and Changing the model&#39;s classifer for our own</span>
<span class="n">model</span><span class="o">.</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="mi">25088</span><span class="p">,</span> <span class="mi">1024</span><span class="p">),</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">),</span> <span class="c1"># the dropout rate</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">1024</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">),</span> <span class="c1"># the second dropout rate</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">102</span><span class="p">),</span>
                                 <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>

<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span> <span class="o">=</span> <span class="mf">0.003</span><span class="p">)</span>

<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=1024, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.2)
    (3): Linear(in_features=1024, out_features=256, bias=True)
    (4): ReLU()
    (5): Dropout(p=0.2)
    (6): Linear(in_features=256, out_features=102, bias=True)
    (7): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">epochs</span> <span class="o">=</span> <span class="mi">10</span>
<span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">train_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span>

<span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
        <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>

        <span class="c1"># move input and label to device (probably gpu)</span>
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>

        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>

        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

        <span class="n">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="k">if</span> <span class="n">steps</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span><span class="mi">0</span><span class="p">:</span>
            <span class="n">val_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>

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

            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">valoader</span><span class="p">:</span>
                    <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                    <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
                    <span class="n">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>

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

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

            <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;Epoch {epoch+1}/</span><span class="si">{epochs}</span><span class="s2">.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Train loss: {train_loss/print_every:.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Validation loss: {val_loss/len(valoader):.3f}.. &quot;</span>
                  <span class="n">f</span><span class="s2">&quot;Validation accuracy: {accuracy/len(valoader) * 100:.3f}&quot;</span><span class="p">)</span>
            
            <span class="n">train_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch 1/10.. Train loss: 5.613.. Validation loss: 4.590.. Validation accuracy: 2.899
Epoch 1/10.. Train loss: 4.524.. Validation loss: 4.236.. Validation accuracy: 12.327
Epoch 1/10.. Train loss: 4.367.. Validation loss: 3.975.. Validation accuracy: 13.957
Epoch 1/10.. Train loss: 3.943.. Validation loss: 3.434.. Validation accuracy: 22.457
Epoch 1/10.. Train loss: 3.661.. Validation loss: 2.992.. Validation accuracy: 28.466
Epoch 1/10.. Train loss: 3.404.. Validation loss: 2.692.. Validation accuracy: 36.034
Epoch 1/10.. Train loss: 3.116.. Validation loss: 2.354.. Validation accuracy: 41.404
Epoch 1/10.. Train loss: 3.022.. Validation loss: 2.206.. Validation accuracy: 43.000
Epoch 1/10.. Train loss: 2.866.. Validation loss: 2.002.. Validation accuracy: 48.702
Epoch 1/10.. Train loss: 2.862.. Validation loss: 1.887.. Validation accuracy: 51.740
Epoch 2/10.. Train loss: 2.590.. Validation loss: 1.762.. Validation accuracy: 54.447
Epoch 2/10.. Train loss: 2.588.. Validation loss: 1.755.. Validation accuracy: 52.846
Epoch 2/10.. Train loss: 2.461.. Validation loss: 1.596.. Validation accuracy: 58.260
Epoch 2/10.. Train loss: 2.433.. Validation loss: 1.681.. Validation accuracy: 54.260
Epoch 2/10.. Train loss: 2.312.. Validation loss: 1.741.. Validation accuracy: 54.538
Epoch 2/10.. Train loss: 2.391.. Validation loss: 1.706.. Validation accuracy: 54.024
Epoch 2/10.. Train loss: 2.235.. Validation loss: 1.419.. Validation accuracy: 60.630
Epoch 2/10.. Train loss: 2.139.. Validation loss: 1.396.. Validation accuracy: 61.591
Epoch 2/10.. Train loss: 2.259.. Validation loss: 1.357.. Validation accuracy: 61.284
Epoch 2/10.. Train loss: 2.261.. Validation loss: 1.345.. Validation accuracy: 63.135
Epoch 3/10.. Train loss: 2.228.. Validation loss: 1.425.. Validation accuracy: 61.471
Epoch 3/10.. Train loss: 2.132.. Validation loss: 1.258.. Validation accuracy: 66.087
Epoch 3/10.. Train loss: 2.070.. Validation loss: 1.249.. Validation accuracy: 65.317
Epoch 3/10.. Train loss: 2.205.. Validation loss: 1.267.. Validation accuracy: 66.019
Epoch 3/10.. Train loss: 1.848.. Validation loss: 1.144.. Validation accuracy: 68.716
Epoch 3/10.. Train loss: 1.979.. Validation loss: 1.180.. Validation accuracy: 67.240
Epoch 3/10.. Train loss: 2.115.. Validation loss: 1.204.. Validation accuracy: 65.760
Epoch 3/10.. Train loss: 2.015.. Validation loss: 1.315.. Validation accuracy: 64.596
Epoch 3/10.. Train loss: 1.918.. Validation loss: 1.214.. Validation accuracy: 67.221
Epoch 3/10.. Train loss: 1.926.. Validation loss: 1.236.. Validation accuracy: 67.788
Epoch 4/10.. Train loss: 2.098.. Validation loss: 1.170.. Validation accuracy: 69.226
Epoch 4/10.. Train loss: 1.915.. Validation loss: 1.334.. Validation accuracy: 66.861
Epoch 4/10.. Train loss: 1.816.. Validation loss: 1.200.. Validation accuracy: 68.269
Epoch 4/10.. Train loss: 1.949.. Validation loss: 1.241.. Validation accuracy: 68.356
Epoch 4/10.. Train loss: 1.881.. Validation loss: 1.084.. Validation accuracy: 70.606
Epoch 4/10.. Train loss: 1.830.. Validation loss: 1.199.. Validation accuracy: 69.418
Epoch 4/10.. Train loss: 1.922.. Validation loss: 1.205.. Validation accuracy: 66.894
Epoch 4/10.. Train loss: 1.767.. Validation loss: 1.135.. Validation accuracy: 69.851
Epoch 4/10.. Train loss: 1.848.. Validation loss: 1.176.. Validation accuracy: 71.139
Epoch 4/10.. Train loss: 1.652.. Validation loss: 1.093.. Validation accuracy: 70.774
Epoch 4/10.. Train loss: 1.774.. Validation loss: 1.167.. Validation accuracy: 66.841
Epoch 5/10.. Train loss: 1.963.. Validation loss: 1.153.. Validation accuracy: 68.817
Epoch 5/10.. Train loss: 1.846.. Validation loss: 1.083.. Validation accuracy: 70.087
Epoch 5/10.. Train loss: 1.751.. Validation loss: 1.009.. Validation accuracy: 73.726
Epoch 5/10.. Train loss: 1.868.. Validation loss: 1.025.. Validation accuracy: 72.409
Epoch 5/10.. Train loss: 1.711.. Validation loss: 1.057.. Validation accuracy: 73.639
Epoch 5/10.. Train loss: 1.861.. Validation loss: 1.013.. Validation accuracy: 72.885
Epoch 5/10.. Train loss: 1.743.. Validation loss: 0.963.. Validation accuracy: 72.596
Epoch 5/10.. Train loss: 1.694.. Validation loss: 1.069.. Validation accuracy: 71.476
Epoch 5/10.. Train loss: 1.753.. Validation loss: 1.090.. Validation accuracy: 71.409
Epoch 5/10.. Train loss: 1.889.. Validation loss: 1.064.. Validation accuracy: 72.149
Epoch 6/10.. Train loss: 1.781.. Validation loss: 1.143.. Validation accuracy: 71.774
Epoch 6/10.. Train loss: 1.749.. Validation loss: 1.095.. Validation accuracy: 72.918
Epoch 6/10.. Train loss: 1.654.. Validation loss: 1.025.. Validation accuracy: 74.394
Epoch 6/10.. Train loss: 1.683.. Validation loss: 1.063.. Validation accuracy: 74.293
Epoch 6/10.. Train loss: 1.671.. Validation loss: 1.028.. Validation accuracy: 74.394
Epoch 6/10.. Train loss: 1.524.. Validation loss: 1.025.. Validation accuracy: 73.933
Epoch 6/10.. Train loss: 1.643.. Validation loss: 1.033.. Validation accuracy: 75.274
Epoch 6/10.. Train loss: 1.641.. Validation loss: 0.905.. Validation accuracy: 77.813
Epoch 6/10.. Train loss: 1.589.. Validation loss: 1.028.. Validation accuracy: 73.197
Epoch 6/10.. Train loss: 1.781.. Validation loss: 1.086.. Validation accuracy: 72.269
Epoch 7/10.. Train loss: 1.768.. Validation loss: 1.122.. Validation accuracy: 69.851
Epoch 7/10.. Train loss: 1.689.. Validation loss: 1.012.. Validation accuracy: 73.370
Epoch 7/10.. Train loss: 1.659.. Validation loss: 0.960.. Validation accuracy: 75.356
Epoch 7/10.. Train loss: 1.738.. Validation loss: 0.995.. Validation accuracy: 74.034
Epoch 7/10.. Train loss: 1.613.. Validation loss: 1.028.. Validation accuracy: 71.856
Epoch 7/10.. Train loss: 1.781.. Validation loss: 0.913.. Validation accuracy: 77.505
Epoch 7/10.. Train loss: 1.543.. Validation loss: 0.942.. Validation accuracy: 76.130
Epoch 7/10.. Train loss: 1.712.. Validation loss: 0.961.. Validation accuracy: 76.212
Epoch 7/10.. Train loss: 1.639.. Validation loss: 1.037.. Validation accuracy: 75.668
Epoch 7/10.. Train loss: 1.530.. Validation loss: 1.027.. Validation accuracy: 73.471
Epoch 7/10.. Train loss: 1.707.. Validation loss: 0.912.. Validation accuracy: 74.668
Epoch 8/10.. Train loss: 1.521.. Validation loss: 0.931.. Validation accuracy: 75.149
Epoch 8/10.. Train loss: 1.559.. Validation loss: 0.993.. Validation accuracy: 74.413
Epoch 8/10.. Train loss: 1.607.. Validation loss: 0.931.. Validation accuracy: 77.553
Epoch 8/10.. Train loss: 1.568.. Validation loss: 0.938.. Validation accuracy: 77.365
Epoch 8/10.. Train loss: 1.668.. Validation loss: 0.974.. Validation accuracy: 74.327
Epoch 8/10.. Train loss: 1.766.. Validation loss: 0.934.. Validation accuracy: 75.663
Epoch 8/10.. Train loss: 1.717.. Validation loss: 0.954.. Validation accuracy: 77.313
Epoch 8/10.. Train loss: 1.601.. Validation loss: 0.912.. Validation accuracy: 78.635
Epoch 8/10.. Train loss: 1.591.. Validation loss: 0.909.. Validation accuracy: 77.058
Epoch 8/10.. Train loss: 1.543.. Validation loss: 0.953.. Validation accuracy: 75.303
Epoch 9/10.. Train loss: 1.545.. Validation loss: 0.899.. Validation accuracy: 77.481
Epoch 9/10.. Train loss: 1.691.. Validation loss: 0.974.. Validation accuracy: 76.111
Epoch 9/10.. Train loss: 1.526.. Validation loss: 0.959.. Validation accuracy: 75.476
Epoch 9/10.. Train loss: 1.578.. Validation loss: 0.939.. Validation accuracy: 75.389
Epoch 9/10.. Train loss: 1.737.. Validation loss: 0.888.. Validation accuracy: 78.702
Epoch 9/10.. Train loss: 1.703.. Validation loss: 1.026.. Validation accuracy: 73.178
Epoch 9/10.. Train loss: 1.527.. Validation loss: 0.934.. Validation accuracy: 75.663
Epoch 9/10.. Train loss: 1.753.. Validation loss: 1.110.. Validation accuracy: 72.178
Epoch 9/10.. Train loss: 1.745.. Validation loss: 0.979.. Validation accuracy: 75.937
Epoch 9/10.. Train loss: 1.650.. Validation loss: 0.924.. Validation accuracy: 77.327
Epoch 10/10.. Train loss: 1.446.. Validation loss: 0.924.. Validation accuracy: 77.928
Epoch 10/10.. Train loss: 1.515.. Validation loss: 0.955.. Validation accuracy: 76.471
Epoch 10/10.. Train loss: 1.579.. Validation loss: 1.026.. Validation accuracy: 74.327
Epoch 10/10.. Train loss: 1.529.. Validation loss: 0.976.. Validation accuracy: 75.615
Epoch 10/10.. Train loss: 1.682.. Validation loss: 0.966.. Validation accuracy: 75.149
Epoch 10/10.. Train loss: 1.575.. Validation loss: 0.952.. Validation accuracy: 76.385
Epoch 10/10.. Train loss: 1.674.. Validation loss: 0.902.. Validation accuracy: 77.760
Epoch 10/10.. Train loss: 1.434.. Validation loss: 0.938.. Validation accuracy: 76.346
Epoch 10/10.. Train loss: 1.629.. Validation loss: 0.878.. Validation accuracy: 78.308
Epoch 10/10.. Train loss: 1.541.. Validation loss: 0.918.. Validation accuracy: 77.207
Epoch 10/10.. Train loss: 1.819.. Validation loss: 0.925.. Validation accuracy: 77.308
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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">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>

<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>

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

<span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s2">&quot;test accuracy: {accuracy/len(testloader) * 100:.3f}&quot;</span><span class="p">)</span>

<span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">();</span>
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<pre>test accuracy: 73.939
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>

    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
        
    
    <span class="n">model</span><span class="o">.</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="mi">25088</span><span class="p">,</span> <span class="mi">1024</span><span class="p">),</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">),</span> <span class="c1"># the dropout rate</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">1024</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">),</span> <span class="c1"># the second dropout rate</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="mi">102</span><span class="p">),</span>
                                     <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;model_state_dict&#39;</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="n">epochs</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;epochs&#39;</span><span class="p">]</span>
    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;optimizer&#39;</span><span class="p">]</span>
    <span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">class_to_idx</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</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="s1">&#39;cuda&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:05&lt;00:00, 107631764.53it/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=1024, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.2)
    (3): Linear(in_features=1024, out_features=256, bias=True)
    (4): ReLU()
    (5): Dropout(p=0.2)
    (6): Linear(in_features=256, out_features=102, bias=True)
    (7): LogSoftmax()
  )
)
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="n">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="n">mean</span> <span class="o">=</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="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
                                    <span class="p">])</span>
    <span class="n">edited_image</span> <span class="o">=</span> <span class="n">transform</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">edited_image</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span>

<span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
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<pre>tensor([[[-1.7240, -1.7069, -1.6898,  ..., -2.0152, -1.9638, -1.9638],
         [-1.4158, -1.3815, -1.5185,  ..., -1.9809, -1.9809, -1.9638],
         [-1.8268, -1.8268, -1.8268,  ..., -1.9295, -1.9467, -1.9467],
         ...,
         [-1.5357, -1.5870, -1.6042,  ..., -1.2274, -1.4329, -1.3130],
         [-1.6042, -1.6042, -1.6042,  ..., -1.4500, -1.4843, -1.2445],
         [-1.7754, -1.7069, -1.6384,  ..., -1.8610, -1.3987, -1.1589]],

        [[-1.4230, -1.4055, -1.3880,  ..., -1.9307, -1.8957, -1.8782],
         [-1.1604, -1.1078, -1.2479,  ..., -1.8782, -1.8782, -1.8431],
         [-1.6331, -1.6331, -1.6331,  ..., -1.7906, -1.7906, -1.7731],
         ...,
         [-1.1954, -1.1779, -1.1779,  ..., -0.7577, -0.9328, -0.8102],
         [-1.3179, -1.2479, -1.2129,  ..., -0.9328, -0.9153, -0.6877],
         [-1.5805, -1.4230, -1.2829,  ..., -1.3354, -0.8452, -0.5826]],

        [[-1.4384, -1.4210, -1.4210,  ..., -1.7522, -1.7522, -1.7347],
         [-1.0724, -1.0550, -1.1944,  ..., -1.7173, -1.7522, -1.7696],
         [-1.4907, -1.4907, -1.4907,  ..., -1.6476, -1.7173, -1.7522],
         ...,
         [-1.5953, -1.6824, -1.7522,  ..., -1.7522, -1.7870, -1.6650],
         [-1.5779, -1.6127, -1.6824,  ..., -1.6824, -1.6999, -1.4559],
         [-1.6999, -1.6476, -1.6476,  ..., -1.7522, -1.4559, -1.2641]]])</pre>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class="prompt input_prompt">In&nbsp;[7]:</div>
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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">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span>

<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f0c0ce38518&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</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="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
    
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>

        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">)</span>
        
        <span class="n">class_to_idx_inverted</span> <span class="o">=</span> <span class="p">{</span><span class="n">v</span> <span class="p">:</span> <span class="n">k</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">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
        
        <span class="n">classes</span> <span class="o">=</span> <span class="p">[]</span>
        
        <span class="k">for</span> <span class="n">top_class</span> <span class="ow">in</span> <span class="n">top_class</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">]:</span> 
            <span class="n">classes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">class_to_idx_inverted</span><span class="p">[</span><span class="n">top_class</span><span class="p">])</span>
        
        <span class="k">return</span> <span class="n">top_p</span><span class="o">.</span><span class="n">tolist</span><span class="p">()[</span><span class="mi">0</span><span class="p">],</span> <span class="n">classes</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/10/image_07090.jpg&#39;</span>

<span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[0.9806423187255859, 0.018788771703839302, 0.0004370088572613895, 5.387802593759261e-05, 4.52872809546534e-05]
[&#39;10&#39;, &#39;29&#39;, &#39;14&#39;, &#39;50&#39;, &#39;12&#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">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/10/image_07090.jpg&#39;</span>
<span class="n">image_label</span> <span class="o">=</span> <span class="s1">&#39;10&#39;</span>

<span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>

<span class="n">names_of_classes</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">:</span>
    <span class="n">names_of_classes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
    
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">12</span><span class="p">,</span><span class="mi">12</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">subplot</span><span class="p">(</span><span class="mi">2</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">set_title</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">image_label</span><span class="p">])</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">),</span> <span class="n">ax</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</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="n">sns</span><span class="o">.</span><span class="n">barplot</span><span class="p">(</span><span class="n">x</span> <span class="o">=</span> <span class="n">probs</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">names_of_classes</span><span class="p">,</span> <span class="n">color</span> <span class="o">=</span> <span class="n">sns</span><span class="o">.</span><span class="n">color_palette</span><span class="p">(</span><span class="s2">&quot;tab10&quot;</span><span class="p">)[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
</pre></div>

    </div>
</div>
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<p><font color='red'><strong>Reminder for Workspace users:</strong> If your network becomes very large when saved as a checkpoint, there might be issues with saving backups in your workspace. You should reduce the size of your hidden layers and train again.</p>
<p>We strongly encourage you to delete these large interim files and directories before navigating to another page or closing the browser tab.&lt;/font&gt;</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO remove .pth files or move it to a temporary `~/opt` directory in this Workspace</span>
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