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;
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fieldset[disabled] .notification_widget.success:focus,
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fieldset[disabled] .notification_widget.success.focus {
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}
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}
.notification_widget.info:active:hover,
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.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
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  background-color: #269abc;
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}
.notification_widget.info:active,
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fieldset[disabled] .notification_widget.info:focus,
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fieldset[disabled] .notification_widget.info.focus {
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div#pager {
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div#pager pre {
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.quickhelp {
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  -webkit-box-align: stretch;
  display: -moz-box;
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  /* Modern browsers */
  display: flex;
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  align-items: stretch;
  line-height: 1.8em;
}
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}
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  -moz-box-flex: 1;
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span.save_widget {
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  margin-top: 4px;
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  border: none;
  font-size: 146.5%;
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span.save_widget span.filename:hover {
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}
[dir="rtl"] span.save_widget.pull-left {
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}
[dir="rtl"] span.save_widget span.filename {
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}
span.checkpoint_status,
span.autosave_status {
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}
@media (max-width: 767px) {
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  margin-bottom: 5px;
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  margin-right: 0.3em;
  padding: 0px;
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}
.toolbar-btn-label {
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}
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  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
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  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 {
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}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
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  color: white;
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/**
 * 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 {
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  to {
    opacity: 0;
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}
@-webkit-keyframes fadeOut {
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}
@-moz-keyframes fadeIn {
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}
@-webkit-keyframes fadeIn {
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}
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  height: 200px;
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  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
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}
/*properties of tooltip before "expand"*/
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  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
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  height: 80px;
}
.tooltipbuttons {
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  top: 0px;
  right: 0px;
}
.tooltiptext {
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}
.ipython_tooltip {
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  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
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  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
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  height: 16px;
  overflow: hidden;
  position: absolute;
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.pretooltiparrow:before {
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  z-index: 11;
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  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
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  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
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[dir="rtl"] ul.typeahead-list i {
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ul.typeahead-list {
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.cmd-palette .modal-body {
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}
.cmd-palette input {
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.no-shortcut {
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  color: transparent;
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[dir="rtl"] .no-shortcut.pull-right {
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  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
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  float: left;
}
.command-shortcut:before {
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  padding-right: 3px;
  color: #777777;
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.edit-shortcut:before {
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[dir="rtl"] .edit-shortcut.pull-right {
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#find-and-replace #replace-preview .insert {
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[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
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#find-and-replace #replace-preview .replace .insert {
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  border-radius: 0px;
}
#find-and-replace #replace-preview {
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  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 {
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  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);
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.terminal-app .terminal,
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  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
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}
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  background: white;
}
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}
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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>When you've completed this project, you'll have an application that can be trained on any set of labeled images. Here your network will be learning about flowers and end up as a command line application. But, what you do with your new skills depends on your imagination and effort in building a dataset. For example, imagine an app where you take a picture of a car, it tells you what the make and model is, then looks up information about it. Go build your own dataset and make something new.</p>
<p>First up is importing the packages you'll need. It's good practice to keep all the imports at the beginning of your code. As you work through this notebook and find you need to import a package, make sure to add the import up here.</p>

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

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

<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">optim</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="kn">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="p">,</span> <span class="n">utils</span>

<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">OrderedDict</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span>

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">math</span>
<span class="kn">import</span> <span class="nn">random</span>
<span class="kn">import</span> <span class="nn">time</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"># Define the transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">224</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.0</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="n">size</span><span class="o">=</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

<span class="n">valid_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="n">size</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">scale</span><span class="o">=</span><span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.0</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="n">size</span><span class="o">=</span><span class="mi">224</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>                                 

<span class="c1"># Load the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">train_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>
<span class="n">valid_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">valid_transforms</span><span class="p">)</span>

<span class="c1"># Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">train_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="mi">6</span><span class="p">)</span>
<span class="n">test_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="mi">6</span><span class="p">)</span>
<span class="n">valid_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">num_workers</span><span class="o">=</span><span class="mi">6</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>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>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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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Build the network</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">resnet18</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">fc</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="n">model</span><span class="o">.</span><span class="n">fc</span><span class="o">.</span><span class="n">in_features</span><span class="p">,</span> <span class="mi">256</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">0.5</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;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">256</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">)))]))</span>

<span class="n">params_to_update</span> <span class="o">=</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="k">if</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">True</span><span class="p">):</span>
        <span class="n">params_to_update</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Implement a function for the validation pass</span>
<span class="k">def</span> <span class="nf">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">testloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">):</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
        <span class="n">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">test_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">test_loss</span><span class="p">,</span> <span class="n">accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Train the network</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda:0&quot;</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</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">params_to_update</span><span class="p">,</span> <span class="n">lr</span><span class="o">=</span><span class="mf">0.001</span><span class="p">)</span>

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

<span class="n">epochs</span> <span class="o">=</span> <span class="mi">10</span>
<span class="n">total_time</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>

<span class="k">for</span> <span class="n">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="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>

    <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">train_loader</span><span class="p">):</span>
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>

        <span class="c1"># training phase</span>
        <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="kc">True</span><span class="p">):</span>
            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

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

    <span class="c1"># validation phase</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">valid_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">valid_loader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">)</span>
    
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">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="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">index</span><span class="p">),</span>
            <span class="s2">&quot;Validation Loss: </span><span class="si">{:.3f}</span><span class="s2">.. &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">valid_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">valid_loader</span><span class="p">)),</span>
            <span class="s2">&quot;Validation Accuracy: </span><span class="si">{:.3f}</span><span class="s2"> % &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">valid_loader</span><span class="p">)),</span>
            <span class="s2">&quot;Train time: </span><span class="si">{:.3f}</span><span class="s2"> seconds&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">start</span><span class="p">))</span>
    
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>

<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Training complete. Total train time = </span><span class="si">{</span><span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">total_time</span><span class="p">)</span><span class="si">:</span><span class="s2">.3f</span><span class="si">}</span><span class="s2"> seconds&quot;</span><span class="p">)</span>
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<pre>Epoch: 1/10..  Training Loss: 3.503..  Validation Loss: 1.897..  Validation Accuracy: 60.777 %  Train time: 30.701 seconds
Epoch: 2/10..  Training Loss: 1.901..  Validation Loss: 0.928..  Validation Accuracy: 81.878 %  Train time: 32.646 seconds
Epoch: 3/10..  Training Loss: 1.381..  Validation Loss: 0.703..  Validation Accuracy: 84.549 %  Train time: 31.561 seconds
Epoch: 4/10..  Training Loss: 1.128..  Validation Loss: 0.558..  Validation Accuracy: 86.592 %  Train time: 31.485 seconds
Epoch: 5/10..  Training Loss: 0.990..  Validation Loss: 0.482..  Validation Accuracy: 88.849 %  Train time: 31.258 seconds
Epoch: 6/10..  Training Loss: 0.888..  Validation Loss: 0.416..  Validation Accuracy: 89.931 %  Train time: 29.896 seconds
Epoch: 7/10..  Training Loss: 0.833..  Validation Loss: 0.395..  Validation Accuracy: 91.159 %  Train time: 29.556 seconds
Epoch: 8/10..  Training Loss: 0.778..  Validation Loss: 0.356..  Validation Accuracy: 92.121 %  Train time: 31.809 seconds
Epoch: 9/10..  Training Loss: 0.752..  Validation Loss: 0.348..  Validation Accuracy: 91.947 %  Train time: 31.071 seconds
Epoch: 10/10..  Training Loss: 0.707..  Validation Loss: 0.349..  Validation Accuracy: 91.132 %  Train time: 26.505 seconds
Training complete. Total train time = 306.499 seconds
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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">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">test_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">test_loader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">)</span>
        
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Average Test Set Accuracy: </span><span class="si">{:.3f}</span><span class="s2"> %&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">test_loader</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">valid_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">valid_loader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">)</span>
        
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Average Validation Set Accuracy: </span><span class="si">{:.3f}</span><span class="s2"> %&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">valid_loader</span><span class="p">)))</span>
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<pre>Average Test Set Accuracy: 87.247 %
Average Validation Set Accuracy: 92.241 %
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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"># Save the checkpoint </span>
<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;hidden_units&#39;</span><span class="p">:</span> <span class="mi">256</span><span class="p">,</span>
              <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="nb">len</span><span class="p">(</span><span class="n">cat_to_name</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;class_mapping&#39;</span><span class="p">:</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">}</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>

<span class="c1"># For comparsion when loading</span>
<span class="n">model</span>
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<pre>ResNet(
  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (relu): ReLU(inplace=True)
  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
  (layer1): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
    (1): BasicBlock(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer2): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer3): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer4): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))
  (fc): Sequential(
    (fc1): Linear(in_features=512, out_features=256, bias=True)
    (dropout1): Dropout(p=0.5, inplace=False)
    (relu1): ReLU()
    (fc2): Linear(in_features=256, out_features=102, bias=True)
  )
)</pre>
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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"># Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">resnet18</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">fc</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="n">model</span><span class="o">.</span><span class="n">fc</span><span class="o">.</span><span class="n">in_features</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_units&#39;</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">0.5</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;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="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_units&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;output_size&#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">mappings</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_mapping&#39;</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">mappings</span>

<span class="c1"># Test</span>
<span class="n">loaded_model</span><span class="p">,</span> <span class="n">loaded_mappings</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="n">loaded_model</span>
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<pre>ResNet(
  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  (relu): ReLU(inplace=True)
  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
  (layer1): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
    (1): BasicBlock(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer2): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer3): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (layer4): Sequential(
    (0): BasicBlock(
      (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (downsample): Sequential(
        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      )
    )
    (1): BasicBlock(
      (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
      (relu): ReLU(inplace=True)
      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    )
  )
  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))
  (fc): Sequential(
    (fc1): Linear(in_features=512, out_features=256, bias=True)
    (dropout1): Dropout(p=0.5, inplace=False)
    (relu1): ReLU()
    (fc2): Linear(in_features=256, out_features=102, bias=True)
  )
)</pre>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="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>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># Process a PIL image for use in a PyTorch model</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span><span class="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">width</span> <span class="o">=</span> <span class="mi">256</span>
    <span class="n">height</span> <span class="o">=</span> <span class="mi">256</span>
    <span class="n">new_width</span> <span class="o">=</span> <span class="mi">224</span>
    <span class="n">new_height</span> <span class="o">=</span> <span class="mi">224</span>

    <span class="n">left</span> <span class="o">=</span> <span class="p">(</span><span class="n">width</span> <span class="o">-</span> <span class="n">new_width</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">top</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span> <span class="o">-</span> <span class="n">new_height</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">right</span> <span class="o">=</span> <span class="p">(</span><span class="n">width</span> <span class="o">+</span> <span class="n">new_width</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">bottom</span> <span class="o">=</span> <span class="p">(</span><span class="n">height</span> <span class="o">+</span> <span class="n">new_height</span><span class="p">)</span> <span class="o">/</span> <span class="mi">2</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">img</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">img</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">img</span><span class="p">)</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> <span class="o">/</span> <span class="mi">256</span>
    <span class="n">means</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="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
    <span class="n">stds</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="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>

    <span class="n">img</span> <span class="o">-=</span> <span class="n">means</span>
    <span class="n">img</span> <span class="o">/=</span> <span class="n">stds</span>

    <span class="n">img_tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>

    <span class="k">return</span> <span class="n">img_tensor</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">title</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>

<span class="c1"># Test</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</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">x</span><span class="p">)</span>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="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>
<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"># Implement the code to predict the class from an image file</span>
    <span class="n">img_tensor</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">224</span><span class="p">,</span> <span class="mi">224</span><span class="p">)</span>

    <span class="n">loaded_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">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">loaded_model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">loaded_model</span><span class="p">(</span><span class="n">img_tensor</span><span class="p">)</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">out</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

        <span class="n">topk</span><span class="p">,</span> <span class="n">topclass</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">top_classes</span> <span class="o">=</span> <span class="p">[</span><span class="nb">list</span><span class="p">(</span><span class="n">loaded_mappings</span><span class="p">)[</span><span class="n">class_</span><span class="p">]</span> <span class="k">for</span> <span class="n">class_</span> <span class="ow">in</span> <span class="n">topclass</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]]</span>
        <span class="n">top_p</span> <span class="o">=</span> <span class="n">topk</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>

        <span class="k">return</span> <span class="n">top_p</span><span class="p">,</span> <span class="n">top_classes</span>

<span class="c1"># Test</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/1/image_06743.jpg&#39;</span><span class="p">,</span> <span class="n">loaded_model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[9.90303814e-01 5.48838219e-03 2.30099401e-03 1.67554768e-03
 1.12375244e-04]
[&#39;1&#39;, &#39;86&#39;, &#39;51&#39;, &#39;83&#39;, &#39;76&#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"># Display a randomly chosen test image along with the top 5 corresponding class predictions</span>
<span class="n">random_img</span> <span class="o">=</span> <span class="n">test_data</span><span class="o">.</span><span class="n">imgs</span><span class="p">[</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">test_data</span><span class="p">))][</span><span class="mi">0</span><span class="p">]</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">random_img</span><span class="p">,</span> <span class="n">loaded_model</span><span class="p">)</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;p&#39;</span><span class="p">:</span> <span class="n">probs</span><span class="p">},</span> <span class="n">index</span><span class="o">=</span><span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">class_</span><span class="p">]</span> <span class="k">for</span> <span class="n">class_</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">])</span>

<span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</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="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span><span class="mi">6</span><span class="p">),</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">ax1</span> <span class="o">=</span> <span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">random_img</span><span class="p">),</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">cat_to_name</span><span class="p">[</span><span class="n">random_img</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;</span><span class="se">\\</span><span class="s1">&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">]])</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>

<span class="n">result</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="s1">&#39;p&#39;</span><span class="p">)[</span><span class="s1">&#39;p&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">ax</span><span class="o">=</span><span class="n">ax2</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;steelblue&#39;</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_aspect</span><span class="p">(</span><span class="mf">0.2</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">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">probs</span><span class="p">)))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
</pre></div>

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