Image Classifier Project.html

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

<title>Image Classifier Project</title>

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

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

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

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

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

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Imports here</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">nn</span><span class="p">,</span> <span class="n">optim</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span><span class="p">,</span> <span class="n">models</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</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;
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<h2 id="Load-the-data">Load the data<a class="anchor-link" href="#Load-the-data">&#182;</a></h2><p>Here you'll use <code>torchvision</code> to load the data (<a href="http://pytorch.org/docs/0.3.0/torchvision/index.html">documentation</a>). The data should be included alongside this notebook, otherwise you can <a href="https://s3.amazonaws.com/content.udacity-data.com/nd089/flower_data.tar.gz">download it here</a>. The dataset is split into three parts, training, validation, and testing. For the training, you'll want to apply transformations such as random scaling, cropping, and flipping. This will help the network generalize leading to better performance. You'll also need to make sure the input data is resized to 224x224 pixels as required by the pre-trained networks.</p>
<p>The validation and testing sets are used to measure the model's performance on data it hasn't seen yet. For this you don't want any scaling or rotation transformations, but you'll need to resize then crop the images to the appropriate size.</p>
<p>The pre-trained networks you'll use were trained on the ImageNet dataset where each color channel was normalized separately. For all three sets you'll need to normalize the means and standard deviations of the images to what the network expects. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>, calculated from the ImageNet images.  These values will shift each color channel to be centered at 0 and range from -1 to 1.</p>

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

<span class="n">valid_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">225</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">225</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

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

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">validloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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

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

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<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<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, 94524917.10it/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="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span><span class="o">=</span><span class="kc">False</span>
    
<span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span> <span class="mi">4096</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.5</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">4096</span><span class="p">,</span> <span class="mi">102</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>

<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>

<span class="n">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">0.002</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=102, bias=True)
    (4): LogSoftmax()
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">active_session</span><span class="p">():</span>
    <span class="n">epochs</span> <span class="o">=</span> <span class="mi">15</span>
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="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="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
            <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>

            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>

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

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

            <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="k">else</span><span class="p">:</span>
            <span class="n">valid_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>

                    <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>


                    <span class="n">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
                    <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">log_ps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>

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

            <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
                  <span class="s2">&quot;Training loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">trainloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Validation loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">valid_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)))</span>

            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
            
            <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
            <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch time: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">end</span><span class="o">-</span><span class="n">start</span><span class="p">))</span>
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<pre>Epoch: 1/15..  Training loss: 4.517..  Validation loss: 1.334..  Accuracy: 0.654
Epoch time: 177.3490846157074
Epoch: 2/15..  Training loss: 2.227..  Validation loss: 0.999..  Accuracy: 0.726
Epoch time: 160.7634994983673
Epoch: 3/15..  Training loss: 2.073..  Validation loss: 0.982..  Accuracy: 0.737
Epoch time: 160.98898935317993
Epoch: 4/15..  Training loss: 1.975..  Validation loss: 0.867..  Accuracy: 0.778
Epoch time: 159.80567121505737
Epoch: 5/15..  Training loss: 1.954..  Validation loss: 0.939..  Accuracy: 0.785
Epoch time: 159.55579352378845
Epoch: 6/15..  Training loss: 1.945..  Validation loss: 0.901..  Accuracy: 0.801
Epoch time: 160.03770208358765
Epoch: 7/15..  Training loss: 1.855..  Validation loss: 0.866..  Accuracy: 0.784
Epoch time: 160.68512201309204
Epoch: 8/15..  Training loss: 1.903..  Validation loss: 0.845..  Accuracy: 0.805
Epoch time: 160.4156641960144
Epoch: 9/15..  Training loss: 1.900..  Validation loss: 0.769..  Accuracy: 0.807
Epoch time: 160.3919551372528
Epoch: 10/15..  Training loss: 1.780..  Validation loss: 0.763..  Accuracy: 0.812
Epoch time: 160.30051350593567
Epoch: 11/15..  Training loss: 1.797..  Validation loss: 0.804..  Accuracy: 0.821
Epoch time: 160.75694632530212
Epoch: 12/15..  Training loss: 1.794..  Validation loss: 0.701..  Accuracy: 0.824
Epoch time: 160.42451548576355
Epoch: 13/15..  Training loss: 1.853..  Validation loss: 0.805..  Accuracy: 0.809
Epoch time: 159.80552101135254
Epoch: 14/15..  Training loss: 1.793..  Validation loss: 0.839..  Accuracy: 0.815
Epoch time: 160.066153049469
Epoch: 15/15..  Training loss: 1.803..  Validation loss: 0.739..  Accuracy: 0.832
Epoch time: 159.66254377365112
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</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">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
                
        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                
        <span class="n">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">log_ps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>

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

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)),</span>
      <span class="s2">&quot;Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)))</span>

<span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
            
<span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test time: </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">end</span><span class="o">-</span><span class="n">start</span><span class="p">))</span>
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<pre>Test loss: 0.877..  Accuracy: 0.803
Test time: 19.93122625350952
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;architecture&#39;</span><span class="p">:</span> <span class="s1">&#39;vgg16&#39;</span><span class="p">,</span>
             <span class="s1">&#39;classifier&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="p">,</span>
             <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
             <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()}</span>

<span class="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">path</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">path</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">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;classifier&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>

    
    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</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=4096, bias=True)
    (1): ReLU()
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=102, bias=True)
    (4): LogSoftmax()
  )
)</pre>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="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">width</span><span class="p">,</span> <span class="n">height</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">size</span>

    <span class="k">if</span> <span class="n">width</span> <span class="o">&lt;</span> <span class="n">height</span><span class="p">:</span> 
        <span class="n">resize</span><span class="o">=</span><span class="p">[</span><span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="o">**</span><span class="mi">600</span><span class="p">]</span>
    <span class="k">else</span><span class="p">:</span> 
        <span class="n">resize</span><span class="o">=</span><span class="p">[</span><span class="mi">256</span><span class="o">**</span><span class="mi">600</span><span class="p">,</span> <span class="mi">256</span><span class="p">]</span>
        
    <span class="n">image</span><span class="o">.</span><span class="n">thumbnail</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="n">resize</span><span class="p">)</span>

    <span class="n">center</span> <span class="o">=</span> <span class="n">width</span><span class="o">/</span><span class="mi">4</span><span class="p">,</span> <span class="n">height</span><span class="o">/</span><span class="mi">4</span>
    <span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span> <span class="o">=</span> <span class="n">center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">-</span><span class="p">(</span><span class="mi">244</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="n">center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">-</span><span class="p">(</span><span class="mi">244</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="n">center</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">+</span><span class="p">(</span><span class="mi">244</span><span class="o">/</span><span class="mi">2</span><span class="p">),</span> <span class="n">center</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">+</span><span class="p">(</span><span class="mi">244</span><span class="o">/</span><span class="mi">2</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">crop</span><span class="p">((</span><span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span><span class="p">))</span>

    <span class="n">np_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">image</span><span class="p">)</span><span class="o">/</span><span class="mi">255</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="n">np_image</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_image</span><span class="o">-</span><span class="n">mean</span><span class="p">)</span><span class="o">/</span><span class="n">std</span>
        
    <span class="n">np_image</span> <span class="o">=</span> <span class="n">np_image</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">np_image</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<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">to</span><span class="p">(</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="n">t_image</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">expand_dims</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">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
    
    <span class="n">log_ps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">t_image</span><span class="p">)</span>
    <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">log_ps</span><span class="p">)</span>
    <span class="n">top_ps</span><span class="p">,</span> <span class="n">top_classes</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">top_ps</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_ps</span><span class="o">.</span><span class="n">detach</span><span class="p">())[</span><span class="mi">0</span><span class="p">]</span>
    <span class="n">top_classes</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">top_classes</span><span class="o">.</span><span class="n">detach</span><span class="p">())[</span><span class="mi">0</span><span class="p">]</span>
    
    <span class="n">idx_to_class</span> <span class="o">=</span> <span class="p">{</span><span class="n">key</span><span class="p">:</span> <span class="n">val</span> <span class="k">for</span> <span class="n">val</span><span class="p">,</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
    <span class="n">top_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">idx_to_class</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">top_classes</span><span class="p">]</span>
    <span class="n">top_flowers</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">top_classes</span><span class="p">]</span>

    <span class="k">return</span> <span class="n">top_ps</span><span class="p">,</span> <span class="n">top_classes</span><span class="p">,</span> <span class="n">top_flowers</span>
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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="n">test_dir</span> <span class="o">+</span> <span class="s1">&#39;/99/image_07838.jpg&#39;</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">6</span><span class="p">,</span> <span class="mi">10</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">f_num</span> <span class="o">=</span> <span class="n">image_path</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;/&#39;</span><span class="p">)[</span><span class="mi">2</span><span class="p">]</span>
<span class="n">f_title</span> <span class="o">=</span> <span class="n">cat_to_name</span><span class="p">[</span><span class="n">f_num</span><span class="p">]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">f_title</span><span class="o">.</span><span class="n">center</span><span class="p">(</span><span class="mi">55</span><span class="p">))</span>

<span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span> <span class="o">=</span> <span class="n">f_title</span><span class="p">)</span>

<span class="n">probs</span><span class="p">,</span> <span class="n">labels</span><span class="p">,</span> <span class="n">flowers</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">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">flowers</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<pre>                        bromelia                       
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