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">optim</span><span class="p">,</span> <span class="n">nn</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span><span class="p">,</span> <span class="n">models</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">import</span> <span class="nn">myutils</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">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</span>

<span class="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="c1">#data_transforms = </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">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span>
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

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

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>
<span class="k">class</span> <span class="nc">Classifier</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
    <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_size</span><span class="p">,</span> <span class="n">output_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">,</span> <span class="n">drop_p</span><span class="o">=</span><span class="mf">0.2</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
        <span class="n">layer_sizes</span> <span class="o">=</span> <span class="nb">zip</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">:])</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">h1</span><span class="p">,</span> <span class="n">h2</span><span class="p">)</span> <span class="k">for</span> <span class="n">h1</span><span class="p">,</span> <span class="n">h2</span> <span class="ow">in</span> <span class="n">layer_sizes</span><span class="p">])</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">output</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">output_size</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">drop_p</span><span class="p">)</span>
    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">fc</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span><span class="p">:</span>
            <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">fc</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
            <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
        <span class="n">x</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">x</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg13</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/vgg13-c768596a.pth&#34; to /root/.torch/models/vgg13-c768596a.pth
100%|██████████| 532194478/532194478 [00:34&lt;00:00, 15574609.60it/s]
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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="s1">&#39;cuda&#39;</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="s1">&#39;cpu&#39;</span><span class="p">)</span>

<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
    
<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">Classifier</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span> <span class="mi">102</span><span class="p">,</span> <span class="p">[</span><span class="mi">1024</span><span class="p">])</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>

<span class="n">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): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Classifier(
    (hidden_layers): ModuleList(
      (0): Linear(in_features=25088, out_features=1024, bias=True)
    )
    (output): Linear(in_features=1024, out_features=102, bias=True)
    (dropout): Dropout(p=0.2)
  )
)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">workspace_utils</span> <span class="k">import</span> <span class="n">active_session</span>

<span class="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">5</span>
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span>
    
    <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
            <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
            
            <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
            
            <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            
            <span class="k">if</span> <span class="n">steps</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
                <span class="n">valid_loss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
                <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                    <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
                        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
                        <span class="n">batch_loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                        <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">batch_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                        
                        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
                        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                        <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                <span class="nb">print</span><span class="p">(</span><span class="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="nb">print</span><span class="p">(</span><span class="s2">&quot;Training loss: </span><span class="si">{:.3f}</span><span class="s2">.. Validation loss: </span><span class="si">{:.3f}</span><span class="s2">.. Validation 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">running_loss</span><span class="o">/</span><span class="n">print_every</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="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>
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<pre>Epoch: 1/5
Training loss: 6.215.. Validation loss: 4.484.. Validation accuracy: 0.210
Epoch: 1/5
Training loss: 4.026.. Validation loss: 2.918.. Validation accuracy: 0.368
Epoch: 1/5
Training loss: 3.049.. Validation loss: 2.176.. Validation accuracy: 0.509
Epoch: 1/5
Training loss: 2.502.. Validation loss: 1.596.. Validation accuracy: 0.617
Epoch: 1/5
Training loss: 2.143.. Validation loss: 1.343.. Validation accuracy: 0.669
Epoch: 1/5
Training loss: 1.923.. Validation loss: 1.113.. Validation accuracy: 0.698
Epoch: 1/5
Training loss: 1.739.. Validation loss: 0.987.. Validation accuracy: 0.737
Epoch: 1/5
Training loss: 1.462.. Validation loss: 0.976.. Validation accuracy: 0.736
Epoch: 1/5
Training loss: 1.552.. Validation loss: 0.831.. Validation accuracy: 0.762
Epoch: 1/5
Training loss: 1.433.. Validation loss: 0.758.. Validation accuracy: 0.785
Epoch: 2/5
Training loss: 1.301.. Validation loss: 0.707.. Validation accuracy: 0.804
Epoch: 2/5
Training loss: 1.201.. Validation loss: 0.651.. Validation accuracy: 0.832
Epoch: 2/5
Training loss: 1.137.. Validation loss: 0.684.. Validation accuracy: 0.801
Epoch: 2/5
Training loss: 1.091.. Validation loss: 0.603.. Validation accuracy: 0.841
Epoch: 2/5
Training loss: 1.031.. Validation loss: 0.586.. Validation accuracy: 0.823
Epoch: 2/5
Training loss: 1.019.. Validation loss: 0.602.. Validation accuracy: 0.833
Epoch: 2/5
Training loss: 1.130.. Validation loss: 0.594.. Validation accuracy: 0.839
Epoch: 2/5
Training loss: 1.061.. Validation loss: 0.593.. Validation accuracy: 0.849
Epoch: 2/5
Training loss: 1.046.. Validation loss: 0.608.. Validation accuracy: 0.830
Epoch: 2/5
Training loss: 1.058.. Validation loss: 0.546.. Validation accuracy: 0.849
Epoch: 3/5
Training loss: 0.993.. Validation loss: 0.525.. Validation accuracy: 0.856
Epoch: 3/5
Training loss: 0.811.. Validation loss: 0.516.. Validation accuracy: 0.866
Epoch: 3/5
Training loss: 0.856.. Validation loss: 0.493.. Validation accuracy: 0.865
Epoch: 3/5
Training loss: 0.910.. Validation loss: 0.500.. Validation accuracy: 0.866
Epoch: 3/5
Training loss: 0.857.. Validation loss: 0.494.. Validation accuracy: 0.863
Epoch: 3/5
Training loss: 0.896.. Validation loss: 0.462.. Validation accuracy: 0.880
Epoch: 3/5
Training loss: 0.855.. Validation loss: 0.456.. Validation accuracy: 0.865
Epoch: 3/5
Training loss: 0.957.. Validation loss: 0.477.. Validation accuracy: 0.870
Epoch: 3/5
Training loss: 0.784.. Validation loss: 0.457.. Validation accuracy: 0.874
Epoch: 3/5
Training loss: 0.942.. Validation loss: 0.403.. Validation accuracy: 0.895
Epoch: 4/5
Training loss: 0.775.. Validation loss: 0.461.. Validation accuracy: 0.878
Epoch: 4/5
Training loss: 0.819.. Validation loss: 0.475.. Validation accuracy: 0.871
Epoch: 4/5
Training loss: 0.804.. Validation loss: 0.389.. Validation accuracy: 0.888
Epoch: 4/5
Training loss: 0.712.. Validation loss: 0.415.. Validation accuracy: 0.893
Epoch: 4/5
Training loss: 0.814.. Validation loss: 0.439.. Validation accuracy: 0.885
Epoch: 4/5
Training loss: 0.789.. Validation loss: 0.436.. Validation accuracy: 0.886
Epoch: 4/5
Training loss: 0.863.. Validation loss: 0.464.. Validation accuracy: 0.878
Epoch: 4/5
Training loss: 0.714.. Validation loss: 0.407.. Validation accuracy: 0.889
Epoch: 4/5
Training loss: 0.791.. Validation loss: 0.401.. Validation accuracy: 0.896
Epoch: 4/5
Training loss: 0.685.. Validation loss: 0.441.. Validation accuracy: 0.884
Epoch: 4/5
Training loss: 0.753.. Validation loss: 0.415.. Validation accuracy: 0.882
Epoch: 5/5
Training loss: 0.783.. Validation loss: 0.440.. Validation accuracy: 0.875
Epoch: 5/5
Training loss: 0.704.. Validation loss: 0.443.. Validation accuracy: 0.890
Epoch: 5/5
Training loss: 0.680.. Validation loss: 0.430.. Validation accuracy: 0.879
Epoch: 5/5
Training loss: 0.608.. Validation loss: 0.393.. Validation accuracy: 0.892
Epoch: 5/5
Training loss: 0.803.. Validation loss: 0.411.. Validation accuracy: 0.891
Epoch: 5/5
Training loss: 0.715.. Validation loss: 0.430.. Validation accuracy: 0.890
Epoch: 5/5
Training loss: 0.764.. Validation loss: 0.418.. Validation accuracy: 0.886
Epoch: 5/5
Training loss: 0.671.. Validation loss: 0.385.. Validation accuracy: 0.891
Epoch: 5/5
Training loss: 0.752.. Validation loss: 0.430.. Validation accuracy: 0.895
Epoch: 5/5
Training loss: 0.673.. Validation loss: 0.409.. Validation accuracy: 0.887
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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="k">with</span> <span class="n">active_session</span><span class="p">():</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
            <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
            <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
            <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)))</span>
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<pre>Test accuracy: 0.877
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>
<span class="n">myutils</span><span class="o">.</span><span class="n">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">path</span><span class="o">=</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">,</span> <span class="n">arch</span><span class="o">=</span><span class="s1">&#39;vgg13&#39;</span><span class="p">,</span> <span class="n">hidden_units</span><span class="o">=</span><span class="mi">1024</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">5</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="n">model_load</span><span class="p">,</span> <span class="n">optimizer_load</span> <span class="o">=</span> <span class="n">myutils</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="n">model_load</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): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (15): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (16): ReLU(inplace)
    (17): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (20): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (21): ReLU(inplace)
    (22): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (23): ReLU(inplace)
    (24): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Classifier(
    (hidden_layers): ModuleList(
      (0): Linear(in_features=25088, out_features=1024, bias=True)
    )
    (output): Linear(in_features=1024, out_features=102, bias=True)
    (dropout): Dropout(p=0.2)
  )
)</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>
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<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">pil_img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="n">preprocess</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                          <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
    <span class="n">img_tensor</span> <span class="o">=</span> <span class="n">preprocess</span><span class="p">(</span><span class="n">pil_img</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">img_tensor</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="s2">&quot;flowers/test/16/image_06670.jpg&quot;</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f1f1984e5c0&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">,</span> <span class="n">device</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">to_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="s1">&#39;cuda&#39;</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="ow">and</span> <span class="n">device</span><span class="o">==</span><span class="s1">&#39;gpu&#39;</span> <span class="k">else</span> <span class="s1">&#39;cpu&#39;</span><span class="p">)</span>
    
    <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span> <span class="o">=</span> <span class="n">myutils</span><span class="o">.</span><span class="n">load_checkpoint</span><span class="p">(</span><span class="n">checkpoint</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">to_device</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="n">image_tensor</span> <span class="o">=</span> <span class="n">myutils</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="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">image_tensor</span> <span class="o">=</span> <span class="n">image_tensor</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">to_device</span><span class="p">)</span>
        <span class="n">image_tensor</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
        <span class="n">image_tensor</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image_tensor</span><span class="p">)</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
        <span class="n">top_ps</span><span class="p">,</span> <span class="n">top_class_idx</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">class_to_idx_inverted</span> <span class="o">=</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="n">k</span><span class="p">]:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">}</span>
    <span class="n">top_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">class_to_idx_inverted</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">top_class_idx</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]]</span>
    <span class="n">top_probs</span> <span class="o">=</span> <span class="n">top_ps</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">top_probs</span><span class="p">,</span> <span class="n">top_classes</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_pth</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/16/image_06670.jpg&#39;</span>
<span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_pth</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">,</span> <span class="s1">&#39;gpu&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[ 0.3665643   0.07226071  0.07004614  0.05027388  0.04106698]
[&#39;16&#39;, &#39;83&#39;, &#39;90&#39;, &#39;74&#39;, &#39;18&#39;]
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="n">flower_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">j</span><span class="p">]</span> <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>

<span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s2">&quot;flowers/test/16/image_06670.jpg&quot;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
<span class="n">ax1</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">ax1</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">flower_classes</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>

<span class="n">ax2</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">2</span><span class="p">)</span>
<span class="n">y_pos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">y_pos</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">flower_classes</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">&#39;Probability&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">probs</span><span class="p">)</span>
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<pre>&lt;Container object of 5 artists&gt;</pre>
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