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 */
    </style>
<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 */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.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 */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.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">numpy</span> <span class="k">as</span> <span class="nn">np</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">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">json</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">data_transforms</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</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="mf">0.3</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">ToTensor</span><span class="p">(),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span> <span class="o">.</span><span class="mi">456</span><span class="p">,</span> <span class="o">.</span><span class="mi">406</span><span class="p">],</span>
                                                     <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span> <span class="o">.</span><span class="mi">224</span><span class="p">,</span> <span class="o">.</span><span class="mi">225</span><span class="p">])</span>
                               <span class="p">]),</span>
                   <span class="s1">&#39;valid&#39;</span><span class="p">:</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span> <span class="o">.</span><span class="mi">456</span><span class="p">,</span> <span class="o">.</span><span class="mi">406</span><span class="p">],</span>
                                                     <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span> <span class="o">.</span><span class="mi">224</span><span class="p">,</span> <span class="o">.</span><span class="mi">225</span><span class="p">])</span>
                               <span class="p">]),</span>
                   <span class="s1">&#39;test&#39;</span><span class="p">:</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="o">.</span><span class="mi">485</span><span class="p">,</span> <span class="o">.</span><span class="mi">456</span><span class="p">,</span> <span class="o">.</span><span class="mi">406</span><span class="p">],</span>
                                                     <span class="p">[</span><span class="o">.</span><span class="mi">229</span><span class="p">,</span> <span class="o">.</span><span class="mi">224</span><span class="p">,</span> <span class="o">.</span><span class="mi">225</span><span class="p">])</span>
                               <span class="p">])</span>
                  <span class="p">}</span>

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

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">dataloaders</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;train&#39;</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets</span><span class="p">[</span><span class="s1">&#39;train&#39;</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="s1">&#39;valid&#39;</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets</span><span class="p">[</span><span class="s1">&#39;valid&#39;</span><span class="p">],</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">),</span>
               <span class="s1">&#39;test&#39;</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">image_datasets</span><span class="p">[</span><span class="s1">&#39;test&#39;</span><span class="p">],</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">)}</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="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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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">)</span>
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<pre>{&#39;21&#39;: &#39;fire lily&#39;, &#39;3&#39;: &#39;canterbury bells&#39;, &#39;45&#39;: &#39;bolero deep blue&#39;, &#39;1&#39;: &#39;pink primrose&#39;, &#39;34&#39;: &#39;mexican aster&#39;, &#39;27&#39;: &#39;prince of wales feathers&#39;, &#39;7&#39;: &#39;moon orchid&#39;, &#39;16&#39;: &#39;globe-flower&#39;, &#39;25&#39;: &#39;grape hyacinth&#39;, &#39;26&#39;: &#39;corn poppy&#39;, &#39;79&#39;: &#39;toad lily&#39;, &#39;39&#39;: &#39;siam tulip&#39;, &#39;24&#39;: &#39;red ginger&#39;, &#39;67&#39;: &#39;spring crocus&#39;, &#39;35&#39;: &#39;alpine sea holly&#39;, &#39;32&#39;: &#39;garden phlox&#39;, &#39;10&#39;: &#39;globe thistle&#39;, &#39;6&#39;: &#39;tiger lily&#39;, &#39;93&#39;: &#39;ball moss&#39;, &#39;33&#39;: &#39;love in the mist&#39;, &#39;9&#39;: &#39;monkshood&#39;, &#39;102&#39;: &#39;blackberry lily&#39;, &#39;14&#39;: &#39;spear thistle&#39;, &#39;19&#39;: &#39;balloon flower&#39;, &#39;100&#39;: &#39;blanket flower&#39;, &#39;13&#39;: &#39;king protea&#39;, &#39;49&#39;: &#39;oxeye daisy&#39;, &#39;15&#39;: &#39;yellow iris&#39;, &#39;61&#39;: &#39;cautleya spicata&#39;, &#39;31&#39;: &#39;carnation&#39;, &#39;64&#39;: &#39;silverbush&#39;, &#39;68&#39;: &#39;bearded iris&#39;, &#39;63&#39;: &#39;black-eyed susan&#39;, &#39;69&#39;: &#39;windflower&#39;, &#39;62&#39;: &#39;japanese anemone&#39;, &#39;20&#39;: &#39;giant white arum lily&#39;, &#39;38&#39;: &#39;great masterwort&#39;, &#39;4&#39;: &#39;sweet pea&#39;, &#39;86&#39;: &#39;tree mallow&#39;, &#39;101&#39;: &#39;trumpet creeper&#39;, &#39;42&#39;: &#39;daffodil&#39;, &#39;22&#39;: &#39;pincushion flower&#39;, &#39;2&#39;: &#39;hard-leaved pocket orchid&#39;, &#39;54&#39;: &#39;sunflower&#39;, &#39;66&#39;: &#39;osteospermum&#39;, &#39;70&#39;: &#39;tree poppy&#39;, &#39;85&#39;: &#39;desert-rose&#39;, &#39;99&#39;: &#39;bromelia&#39;, &#39;87&#39;: &#39;magnolia&#39;, &#39;5&#39;: &#39;english marigold&#39;, &#39;92&#39;: &#39;bee balm&#39;, &#39;28&#39;: &#39;stemless gentian&#39;, &#39;97&#39;: &#39;mallow&#39;, &#39;57&#39;: &#39;gaura&#39;, &#39;40&#39;: &#39;lenten rose&#39;, &#39;47&#39;: &#39;marigold&#39;, &#39;59&#39;: &#39;orange dahlia&#39;, &#39;48&#39;: &#39;buttercup&#39;, &#39;55&#39;: &#39;pelargonium&#39;, &#39;36&#39;: &#39;ruby-lipped cattleya&#39;, &#39;91&#39;: &#39;hippeastrum&#39;, &#39;29&#39;: &#39;artichoke&#39;, &#39;71&#39;: &#39;gazania&#39;, &#39;90&#39;: &#39;canna lily&#39;, &#39;18&#39;: &#39;peruvian lily&#39;, &#39;98&#39;: &#39;mexican petunia&#39;, &#39;8&#39;: &#39;bird of paradise&#39;, &#39;30&#39;: &#39;sweet william&#39;, &#39;17&#39;: &#39;purple coneflower&#39;, &#39;52&#39;: &#39;wild pansy&#39;, &#39;84&#39;: &#39;columbine&#39;, &#39;12&#39;: &#34;colt&#39;s foot&#34;, &#39;11&#39;: &#39;snapdragon&#39;, &#39;96&#39;: &#39;camellia&#39;, &#39;23&#39;: &#39;fritillary&#39;, &#39;50&#39;: &#39;common dandelion&#39;, &#39;44&#39;: &#39;poinsettia&#39;, &#39;53&#39;: &#39;primula&#39;, &#39;72&#39;: &#39;azalea&#39;, &#39;65&#39;: &#39;californian poppy&#39;, &#39;80&#39;: &#39;anthurium&#39;, &#39;76&#39;: &#39;morning glory&#39;, &#39;37&#39;: &#39;cape flower&#39;, &#39;56&#39;: &#39;bishop of llandaff&#39;, &#39;60&#39;: &#39;pink-yellow dahlia&#39;, &#39;82&#39;: &#39;clematis&#39;, &#39;58&#39;: &#39;geranium&#39;, &#39;75&#39;: &#39;thorn apple&#39;, &#39;41&#39;: &#39;barbeton daisy&#39;, &#39;95&#39;: &#39;bougainvillea&#39;, &#39;43&#39;: &#39;sword lily&#39;, &#39;83&#39;: &#39;hibiscus&#39;, &#39;78&#39;: &#39;lotus lotus&#39;, &#39;88&#39;: &#39;cyclamen&#39;, &#39;94&#39;: &#39;foxglove&#39;, &#39;81&#39;: &#39;frangipani&#39;, &#39;74&#39;: &#39;rose&#39;, &#39;89&#39;: &#39;watercress&#39;, &#39;73&#39;: &#39;water lily&#39;, &#39;46&#39;: &#39;wallflower&#39;, &#39;77&#39;: &#39;passion flower&#39;, &#39;51&#39;: &#39;petunia&#39;}
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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. If you want to talk through it with someone, chat with your fellow students! You can also ask questions on the forums or join the instructors in office hours.</p>
<p>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>

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<h4 id="Define-necessary-function">Define necessary function<a class="anchor-link" href="#Define-necessary-function">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">load_pretrained</span><span class="p">(</span><span class="n">new_classifier</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    Load pretrained model, freeze the model parameters, and define a new classifier.</span>
<span class="sd">    </span>
<span class="sd">    parameters</span>
<span class="sd">    ----------</span>
<span class="sd">    pretrained_model: torchvision.models function, pretrained model</span>
<span class="sd">    new_classifier: torch.nn.Sequential obj, new classifier</span>
<span class="sd">    </span>
<span class="sd">    return</span>
<span class="sd">    ------</span>
<span class="sd">    model: torchvision.models, pretrained model with new classifier to be trained</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">new_classifier</span>
    
    <span class="k">return</span> <span class="n">model</span>


<span class="k">def</span> <span class="nf">deep_learning</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">print_every</span><span class="o">=</span><span class="mi">40</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cpu&#39;</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    Train the pratrained model with new classifier.</span>
<span class="sd">    </span>
<span class="sd">    parameters</span>
<span class="sd">    ----------</span>
<span class="sd">    model: torchvision.models, model to be trained</span>
<span class="sd">    trainloader: DataLoader, training data generator</span>
<span class="sd">    criterion: Loss function to use</span>
<span class="sd">    optimizer: Optimizer for updating model parameters</span>
<span class="sd">    epoch: int, Number of epochs</span>
<span class="sd">    print_every: int, limit to print </span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">epochs</span> <span class="o">=</span> <span class="n">epochs</span>
    <span class="n">print_every</span> <span class="o">=</span> <span class="n">print_every</span>
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">epoch_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
        <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
            <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            
            <span class="c1"># forward pass</span>
            <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            
            <span class="c1"># backward pass</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</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">epoch_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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
                
                <span class="n">valid_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validate_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
                
                <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Epoch: </span><span class="si">{}</span><span class="s1">/</span><span class="si">{}</span><span class="s1">..&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
                      <span class="s1">&#39;Training Loss: </span><span class="si">{:.3f}</span><span class="s1">..&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                      <span class="s1">&#39;Validation Loss: </span><span class="si">{:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">valid_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)),</span>
                      <span class="s1">&#39;Validation Accuracy: </span><span class="si">{:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">))</span>
                     <span class="p">)</span>
                
                <span class="n">epoch_loss</span> <span class="o">=</span> <span class="mi">0</span>
                
                <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>

                
<span class="k">def</span> <span class="nf">validate_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">dataloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cpu&#39;</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    validate the model performance using validation set.</span>
<span class="sd">    </span>
<span class="sd">    parameters</span>
<span class="sd">    ----------</span>
<span class="sd">    model: torchvision.models</span>
<span class="sd">    dataloader: DataLoader, validation data loader</span>
<span class="sd">    device: device to use for</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="n">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="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">dataloader</span><span class="p">:</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">valid_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
            <span class="n">equality</span> <span class="o">=</span> <span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">data</span> <span class="o">==</span> <span class="n">ps</span><span class="o">.</span><span class="n">max</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="mi">1</span><span class="p">])</span>
            <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">equality</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">mean</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">valid_loss</span><span class="p">,</span> <span class="n">accuracy</span>
            

<span class="k">def</span> <span class="nf">test_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">dataloader</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cpu&#39;</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;</span>
<span class="sd">    test the model performance using test set.</span>
<span class="sd">    </span>
<span class="sd">    parameters</span>
<span class="sd">    ----------</span>
<span class="sd">    model: torchvision.models</span>
<span class="sd">    dataloader: DataLoader, test data loader</span>
<span class="sd">    device: device to use for</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    
    <span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
    
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">dataloader</span><span class="p">:</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
            <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
            <span class="n">total</span> <span class="o">+=</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
            <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
    
    <span class="n">accuracy</span> <span class="o">=</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span>
    
    <span class="k">return</span> <span class="n">accuracy</span>
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<h4 id="Load-pretrained-model-with-new-classifier">Load pretrained model with new classifier<a class="anchor-link" href="#Load-pretrained-model-with-new-classifier">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">OrderedDict</span><span class="p">([</span>
    <span class="p">(</span><span class="s1">&#39;fc1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">25088</span><span class="p">,</span> <span class="mi">4096</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;relu1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
    <span class="p">(</span><span class="s1">&#39;dropout1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.6</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;fc2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">4096</span><span class="p">,</span> <span class="mi">2048</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;relu2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
    <span class="p">(</span><span class="s1">&#39;dropout2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.6</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;fc3&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">2048</span><span class="p">,</span> <span class="mi">512</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;relu3&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
    <span class="p">(</span><span class="s1">&#39;fc4&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="mi">102</span><span class="p">)),</span>
    <span class="p">(</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
<span class="p">]))</span>

<span class="c1"># load the pretrained model</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">load_pretrained</span><span class="p">(</span><span class="n">classifier</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Model Overview: </span><span class="se">\n\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">model</span><span class="p">))</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:35&lt;00:00, 15596023.75it/s]
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<pre>Model Overview: 

VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.6)
    (fc2): Linear(in_features=4096, out_features=2048, bias=True)
    (relu2): ReLU()
    (dropout2): Dropout(p=0.6)
    (fc3): Linear(in_features=2048, out_features=512, bias=True)
    (relu3): ReLU()
    (fc4): Linear(in_features=512, out_features=102, bias=True)
    (output): LogSoftmax()
  )
)
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<h4 id="Train-the-model">Train the model<a class="anchor-link" href="#Train-the-model">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</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">0.0003</span><span class="p">)</span>

<span class="n">deep_learning</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">],</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;valid&#39;</span><span class="p">],</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">15</span><span class="p">,</span> <span class="n">print_every</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
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<pre>Epoch: 1/15.. Training Loss: 4.468.. Validation Loss: 3.935 Validation Accuracy: 0.163
Epoch: 1/15.. Training Loss: 3.664.. Validation Loss: 2.484 Validation Accuracy: 0.356
Epoch: 2/15.. Training Loss: 2.727.. Validation Loss: 1.718 Validation Accuracy: 0.516
Epoch: 2/15.. Training Loss: 2.191.. Validation Loss: 1.411 Validation Accuracy: 0.585
Epoch: 3/15.. Training Loss: 1.887.. Validation Loss: 1.208 Validation Accuracy: 0.659
Epoch: 3/15.. Training Loss: 1.785.. Validation Loss: 1.049 Validation Accuracy: 0.696
Epoch: 4/15.. Training Loss: 1.609.. Validation Loss: 0.868 Validation Accuracy: 0.753
Epoch: 4/15.. Training Loss: 1.438.. Validation Loss: 0.830 Validation Accuracy: 0.757
Epoch: 5/15.. Training Loss: 1.362.. Validation Loss: 0.851 Validation Accuracy: 0.759
Epoch: 5/15.. Training Loss: 1.370.. Validation Loss: 0.730 Validation Accuracy: 0.789
Epoch: 6/15.. Training Loss: 1.237.. Validation Loss: 0.642 Validation Accuracy: 0.796
Epoch: 6/15.. Training Loss: 1.236.. Validation Loss: 0.626 Validation Accuracy: 0.807
Epoch: 7/15.. Training Loss: 1.134.. Validation Loss: 0.577 Validation Accuracy: 0.828
Epoch: 7/15.. Training Loss: 1.125.. Validation Loss: 0.579 Validation Accuracy: 0.843
Epoch: 8/15.. Training Loss: 1.091.. Validation Loss: 0.558 Validation Accuracy: 0.837
Epoch: 8/15.. Training Loss: 1.099.. Validation Loss: 0.540 Validation Accuracy: 0.855
Epoch: 9/15.. Training Loss: 1.069.. Validation Loss: 0.489 Validation Accuracy: 0.860
Epoch: 9/15.. Training Loss: 1.039.. Validation Loss: 0.501 Validation Accuracy: 0.851
Epoch: 10/15.. Training Loss: 0.989.. Validation Loss: 0.495 Validation Accuracy: 0.864
Epoch: 10/15.. Training Loss: 1.021.. Validation Loss: 0.511 Validation Accuracy: 0.868
Epoch: 11/15.. Training Loss: 0.991.. Validation Loss: 0.463 Validation Accuracy: 0.869
Epoch: 11/15.. Training Loss: 0.964.. Validation Loss: 0.512 Validation Accuracy: 0.863
Epoch: 12/15.. Training Loss: 0.915.. Validation Loss: 0.514 Validation Accuracy: 0.849
Epoch: 12/15.. Training Loss: 0.939.. Validation Loss: 0.477 Validation Accuracy: 0.866
Epoch: 13/15.. Training Loss: 0.940.. Validation Loss: 0.459 Validation Accuracy: 0.879
Epoch: 13/15.. Training Loss: 0.889.. Validation Loss: 0.516 Validation Accuracy: 0.868
Epoch: 14/15.. Training Loss: 0.897.. Validation Loss: 0.449 Validation Accuracy: 0.864
Epoch: 14/15.. Training Loss: 0.894.. Validation Loss: 0.444 Validation Accuracy: 0.878
Epoch: 15/15.. Training Loss: 0.917.. Validation Loss: 0.428 Validation Accuracy: 0.889
Epoch: 15/15.. Training Loss: 0.896.. Validation Loss: 0.406 Validation Accuracy: 0.897
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>
<span class="n">accuracy</span> <span class="o">=</span> <span class="n">test_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;test&#39;</span><span class="p">],</span> <span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy of the network: </span><span class="si">{:.4f}</span><span class="s1">%&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">accuracy</span><span class="p">))</span>
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<pre>Accuracy of the network: 85.4701%
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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">image_datasets</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">class_to_idx</span>
<span class="k">def</span> <span class="nf">save_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">state_dict</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;save model checkpoint&#39;&#39;&#39;</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span>
        <span class="s1">&#39;epoch&#39;</span><span class="p">:</span> <span class="n">epochs</span><span class="p">,</span>
        <span class="s1">&#39;model&#39;</span><span class="p">:</span> <span class="n">model</span><span class="p">,</span>
        <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
        <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
        <span class="s1">&#39;optim_state&#39;</span><span class="p">:</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()</span>
    <span class="p">}</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;saving model..&#39;</span><span class="p">)</span>
    <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;mymodel.pth&#39;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;[DONE] Saved!&#39;</span><span class="p">)</span>

<span class="n">save_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">)</span>
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<pre>saving model..
[DONE] Saved!
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_model</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;model&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    <span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;optim_state&#39;</span><span class="p">]</span>
    <span class="n">epoch</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;epoch&#39;</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epoch</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mymodel</span><span class="p">,</span> <span class="n">opt</span><span class="p">,</span> <span class="n">epochs</span> <span class="o">=</span> <span class="n">load_model</span><span class="p">(</span><span class="s1">&#39;mymodel.pth&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Loaded model overview: </span><span class="se">\n\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mymodel</span><span class="p">),</span>
      <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">Loaded optimizer: </span><span class="se">\n\n</span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">opt</span><span class="p">),</span>
      <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">with epochs:</span><span class="si">{}</span><span class="s1">..&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epochs</span><span class="p">))</span>
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<pre>Loaded model overview: 

VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (fc1): Linear(in_features=25088, out_features=4096, bias=True)
    (relu1): ReLU()
    (dropout1): Dropout(p=0.6)
    (fc2): Linear(in_features=4096, out_features=2048, bias=True)
    (relu2): ReLU()
    (dropout2): Dropout(p=0.6)
    (fc3): Linear(in_features=2048, out_features=512, bias=True)
    (relu3): ReLU()
    (fc4): Linear(in_features=512, out_features=102, bias=True)
    (output): LogSoftmax()
  )
) 
Loaded optimizer: 

Adam (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    eps: 1e-08
    lr: 0.0003
    weight_decay: 0
) 
with epochs:15..
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">accuracy</span> <span class="o">=</span> <span class="n">test_model</span><span class="p">(</span><span class="n">mymodel</span><span class="p">,</span> <span class="n">dataloaders</span><span class="p">[</span><span class="s1">&#39;test&#39;</span><span class="p">],</span> <span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy of the loaded network: </span><span class="si">{:.4f}</span><span class="s1">%&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">accuracy</span><span class="p">))</span>
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<pre>Accuracy of the loaded network: 85.4701%
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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">im</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">im</span> <span class="o">=</span> <span class="n">im</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="mi">256</span><span class="p">])</span>
    <span class="n">left</span><span class="p">,</span> <span class="n">right</span> <span class="o">=</span> <span class="p">(</span><span class="n">im</span><span class="o">.</span><span class="n">width</span> <span class="o">-</span> <span class="mi">224</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="p">(</span><span class="n">im</span><span class="o">.</span><span class="n">width</span> <span class="o">+</span> <span class="mi">224</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">top</span><span class="p">,</span> <span class="n">bottom</span> <span class="o">=</span> <span class="p">(</span><span class="n">im</span><span class="o">.</span><span class="n">height</span> <span class="o">-</span> <span class="mi">224</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="p">(</span><span class="n">im</span><span class="o">.</span><span class="n">height</span> <span class="o">+</span> <span class="mi">224</span><span class="p">)</span><span class="o">/</span><span class="mi">2</span>
    <span class="n">im</span> <span class="o">=</span> <span class="n">im</span><span class="o">.</span><span class="n">crop</span><span class="p">([</span><span class="n">left</span><span class="p">,</span> <span class="n">top</span><span class="p">,</span> <span class="n">right</span><span class="p">,</span> <span class="n">bottom</span><span class="p">])</span>
    <span class="n">np_im</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">im</span><span class="p">)</span> <span class="o">/</span> <span class="mf">255.0</span>
    <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span><span class="o">/</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
    <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span><span class="o">/</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
    <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span><span class="o">/</span><span class="n">np_im</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">np_im</span><span class="o">.</span><span class="n">transpose</span><span class="p">()</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="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="s1">&#39;./flowers/test/2/image_05109.jpg&#39;</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(3, 224, 224)
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Implement the code to predict the class from an image file</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    <span class="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</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">))</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">image</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">float32</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
    <span class="n">probs</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="mi">0</span><span class="p">]</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="n">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="mi">1</span><span class="p">]</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="bp">cls</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
        <span class="k">if</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">idx</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
            <span class="bp">cls</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">probs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">cls</span>
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<div class=" highlight hl-ipython3"><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="s1">&#39;./flowers/test/2/image_05109.jpg&#39;</span><span class="p">,</span> <span class="n">mymodel</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>[  1.00000000e+00   5.17945367e-14   5.90263109e-30   3.60530112e-31
   3.58363753e-38]
[&#39;53&#39;, &#39;6&#39;, &#39;62&#39;, &#39;94&#39;, &#39;96&#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">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="s1">&#39;./flowers/test/2/image_05109.jpg&#39;</span><span class="p">)</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">211</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">cat_to_name</span><span class="p">[</span><span class="s1">&#39;2&#39;</span><span class="p">])</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">212</span><span class="p">)</span>
<span class="n">p</span><span class="p">,</span> <span class="bp">cls</span> <span class="o">=</span> <span class="n">probs</span><span class="p">,</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>
<span class="n">cls_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="nb">len</span><span class="p">(</span><span class="n">cls_pos</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">cls_pos</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">cls_pos</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>
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