Image Classifier Project.html

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

<title>Image Classifier Project</title>

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

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

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

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

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

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="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">json</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">nn</span><span class="p">,</span> <span class="n">optim</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span><span class="p">,</span> <span class="n">models</span>
<span class="kn">import</span> <span class="nn">torchvision.transforms.functional</span> <span class="k">as</span> <span class="nn">TF</span>
<span class="kn">from</span> <span class="nn">tqdm</span> <span class="k">import</span> <span class="n">tqdm</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="c1"># Define transforms for the training, validation, and testing sets</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>

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

<span class="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">train_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">data_transforms</span><span class="p">)</span>
<span class="n">validation_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>

<span class="c1"># Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">validloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">validation_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><strong>Note for Workspace users:</strong> If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg19</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="nb">print</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">in_features</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>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># hyperparameters</span>
<span class="n">EPOCHS</span> <span class="o">=</span> <span class="mi">10</span>
<span class="n">LEARNING_RATE</span> <span class="o">=</span> <span class="mf">0.001</span>
<span class="n">INPUT_SIZE</span> <span class="o">=</span> <span class="mi">25088</span>
<span class="n">HIDDEN_1_SIZE</span> <span class="o">=</span> <span class="mi">2048</span>
<span class="n">HIDDEN_2_SIZE</span> <span class="o">=</span> <span class="mi">512</span>
<span class="n">DROPOUT</span> <span class="o">=</span> <span class="mf">0.2</span>
<span class="n">OUTPUT_SIZE</span> <span class="o">=</span> <span class="mi">102</span>

<span class="c1"># override classifier</span>
<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">INPUT_SIZE</span><span class="p">,</span> <span class="n">HIDDEN_1_SIZE</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">DROPOUT</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">HIDDEN_1_SIZE</span><span class="p">,</span> <span class="n">HIDDEN_2_SIZE</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">DROPOUT</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">HIDDEN_2_SIZE</span><span class="p">,</span> <span class="n">OUTPUT_SIZE</span><span class="p">),</span>
                           <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
<span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span>

<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">LEARNING_RATE</span><span class="p">)</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s2">&quot;cuda: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">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">steps</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">print_every</span> <span class="o">=</span> <span class="mi">5</span>

<span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">EPOCHS</span><span class="p">)):</span>
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">trainloader</span><span class="p">:</span>
        <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
        
        <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
        
        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        
        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
        
        <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
        
        <span class="k">if</span> <span class="n">steps</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
            <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
            <span class="n">validation_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">validloader</span><span class="p">:</span>
                <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
                <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
                <span class="n">validation_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="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
                <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                <span class="n">equality</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">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">item</span><span class="p">()</span>
            <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">..&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">epoch</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">EPOCHS</span><span class="p">),</span>
                  <span class="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">..&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">trainloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Validation Loss: </span><span class="si">{:.3f}</span><span class="s2">..&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">validation_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)),</span>
                  <span class="s2">&quot;Validation Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)))</span>
            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
</pre></div>

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<pre>  0%|          | 0/10 [00:00&lt;?, ?it/s]</pre>
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<pre>Epoch: 1/10.. Training Loss: 0.371.. Validation Loss: 4.366.. Validation Accuracy: 0.069
Epoch: 1/10.. Training Loss: 0.414.. Validation Loss: 3.851.. Validation Accuracy: 0.118
Epoch: 1/10.. Training Loss: 0.374.. Validation Loss: 3.382.. Validation Accuracy: 0.255
Epoch: 1/10.. Training Loss: 0.328.. Validation Loss: 2.812.. Validation Accuracy: 0.381
Epoch: 1/10.. Training Loss: 0.304.. Validation Loss: 2.409.. Validation Accuracy: 0.370
Epoch: 1/10.. Training Loss: 0.285.. Validation Loss: 2.126.. Validation Accuracy: 0.471
Epoch: 1/10.. Training Loss: 0.249.. Validation Loss: 1.824.. Validation Accuracy: 0.511
Epoch: 1/10.. Training Loss: 0.229.. Validation Loss: 1.498.. Validation Accuracy: 0.631
Epoch: 1/10.. Training Loss: 0.200.. Validation Loss: 1.439.. Validation Accuracy: 0.611
Epoch: 1/10.. Training Loss: 0.195.. Validation Loss: 1.296.. Validation Accuracy: 0.652
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<pre> 10%|█         | 1/10 [05:41&lt;51:16, 341.81s/it]</pre>
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<pre>Epoch: 2/10.. Training Loss: 0.171.. Validation Loss: 1.379.. Validation Accuracy: 0.640
Epoch: 2/10.. Training Loss: 0.165.. Validation Loss: 1.138.. Validation Accuracy: 0.704
Epoch: 2/10.. Training Loss: 0.152.. Validation Loss: 1.213.. Validation Accuracy: 0.666
Epoch: 2/10.. Training Loss: 0.159.. Validation Loss: 1.002.. Validation Accuracy: 0.739
Epoch: 2/10.. Training Loss: 0.140.. Validation Loss: 1.007.. Validation Accuracy: 0.723
Epoch: 2/10.. Training Loss: 0.136.. Validation Loss: 0.891.. Validation Accuracy: 0.740
Epoch: 2/10.. Training Loss: 0.135.. Validation Loss: 0.899.. Validation Accuracy: 0.754
Epoch: 2/10.. Training Loss: 0.147.. Validation Loss: 0.839.. Validation Accuracy: 0.755
Epoch: 2/10.. Training Loss: 0.126.. Validation Loss: 0.886.. Validation Accuracy: 0.757
Epoch: 2/10.. Training Loss: 0.130.. Validation Loss: 0.836.. Validation Accuracy: 0.760
</pre>
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<pre> 20%|██        | 2/10 [11:39&lt;46:13, 346.67s/it]</pre>
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<pre>Epoch: 2/10.. Training Loss: 0.129.. Validation Loss: 0.769.. Validation Accuracy: 0.777
Epoch: 3/10.. Training Loss: 0.120.. Validation Loss: 0.812.. Validation Accuracy: 0.768
Epoch: 3/10.. Training Loss: 0.126.. Validation Loss: 0.766.. Validation Accuracy: 0.782
Epoch: 3/10.. Training Loss: 0.113.. Validation Loss: 0.701.. Validation Accuracy: 0.810
Epoch: 3/10.. Training Loss: 0.107.. Validation Loss: 0.692.. Validation Accuracy: 0.797
Epoch: 3/10.. Training Loss: 0.115.. Validation Loss: 0.661.. Validation Accuracy: 0.810
Epoch: 3/10.. Training Loss: 0.110.. Validation Loss: 0.658.. Validation Accuracy: 0.804
Epoch: 3/10.. Training Loss: 0.109.. Validation Loss: 0.615.. Validation Accuracy: 0.812
Epoch: 3/10.. Training Loss: 0.108.. Validation Loss: 0.610.. Validation Accuracy: 0.818
Epoch: 3/10.. Training Loss: 0.111.. Validation Loss: 0.578.. Validation Accuracy: 0.848
Epoch: 3/10.. Training Loss: 0.102.. Validation Loss: 0.600.. Validation Accuracy: 0.832
</pre>
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<pre> 30%|███       | 3/10 [17:19&lt;40:12, 344.62s/it]</pre>
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<pre>Epoch: 4/10.. Training Loss: 0.091.. Validation Loss: 0.697.. Validation Accuracy: 0.792
Epoch: 4/10.. Training Loss: 0.095.. Validation Loss: 0.669.. Validation Accuracy: 0.803
Epoch: 4/10.. Training Loss: 0.115.. Validation Loss: 0.691.. Validation Accuracy: 0.807
Epoch: 4/10.. Training Loss: 0.099.. Validation Loss: 0.607.. Validation Accuracy: 0.822
Epoch: 4/10.. Training Loss: 0.088.. Validation Loss: 0.628.. Validation Accuracy: 0.808
Epoch: 4/10.. Training Loss: 0.110.. Validation Loss: 0.535.. Validation Accuracy: 0.854
Epoch: 4/10.. Training Loss: 0.097.. Validation Loss: 0.582.. Validation Accuracy: 0.832
Epoch: 4/10.. Training Loss: 0.095.. Validation Loss: 0.569.. Validation Accuracy: 0.822
Epoch: 4/10.. Training Loss: 0.095.. Validation Loss: 0.512.. Validation Accuracy: 0.858
Epoch: 4/10.. Training Loss: 0.089.. Validation Loss: 0.573.. Validation Accuracy: 0.838
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<pre> 40%|████      | 4/10 [22:59&lt;34:19, 343.17s/it]</pre>
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<pre>Epoch: 5/10.. Training Loss: 0.097.. Validation Loss: 0.604.. Validation Accuracy: 0.828
Epoch: 5/10.. Training Loss: 0.095.. Validation Loss: 0.618.. Validation Accuracy: 0.827
Epoch: 5/10.. Training Loss: 0.095.. Validation Loss: 0.595.. Validation Accuracy: 0.843
Epoch: 5/10.. Training Loss: 0.097.. Validation Loss: 0.609.. Validation Accuracy: 0.828
Epoch: 5/10.. Training Loss: 0.080.. Validation Loss: 0.564.. Validation Accuracy: 0.826
Epoch: 5/10.. Training Loss: 0.089.. Validation Loss: 0.544.. Validation Accuracy: 0.832
Epoch: 5/10.. Training Loss: 0.087.. Validation Loss: 0.514.. Validation Accuracy: 0.852
Epoch: 5/10.. Training Loss: 0.090.. Validation Loss: 0.472.. Validation Accuracy: 0.866
Epoch: 5/10.. Training Loss: 0.080.. Validation Loss: 0.463.. Validation Accuracy: 0.868
Epoch: 5/10.. Training Loss: 0.082.. Validation Loss: 0.488.. Validation Accuracy: 0.860
Epoch: 5/10.. Training Loss: 0.083.. Validation Loss: 0.457.. Validation Accuracy: 0.872
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<pre> 50%|█████     | 5/10 [28:56&lt;28:56, 347.30s/it]</pre>
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<pre>Epoch: 6/10.. Training Loss: 0.067.. Validation Loss: 0.550.. Validation Accuracy: 0.841
Epoch: 6/10.. Training Loss: 0.073.. Validation Loss: 0.514.. Validation Accuracy: 0.850
Epoch: 6/10.. Training Loss: 0.081.. Validation Loss: 0.506.. Validation Accuracy: 0.859
Epoch: 6/10.. Training Loss: 0.079.. Validation Loss: 0.476.. Validation Accuracy: 0.852
Epoch: 6/10.. Training Loss: 0.076.. Validation Loss: 0.472.. Validation Accuracy: 0.868
Epoch: 6/10.. Training Loss: 0.075.. Validation Loss: 0.452.. Validation Accuracy: 0.877
Epoch: 6/10.. Training Loss: 0.073.. Validation Loss: 0.485.. Validation Accuracy: 0.861
Epoch: 6/10.. Training Loss: 0.081.. Validation Loss: 0.478.. Validation Accuracy: 0.859
Epoch: 6/10.. Training Loss: 0.075.. Validation Loss: 0.423.. Validation Accuracy: 0.878
Epoch: 6/10.. Training Loss: 0.080.. Validation Loss: 0.482.. Validation Accuracy: 0.858
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<pre> 60%|██████    | 6/10 [34:35&lt;22:59, 344.97s/it]</pre>
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<pre>Epoch: 7/10.. Training Loss: 0.072.. Validation Loss: 0.527.. Validation Accuracy: 0.853
Epoch: 7/10.. Training Loss: 0.078.. Validation Loss: 0.487.. Validation Accuracy: 0.858
Epoch: 7/10.. Training Loss: 0.069.. Validation Loss: 0.528.. Validation Accuracy: 0.844
Epoch: 7/10.. Training Loss: 0.062.. Validation Loss: 0.521.. Validation Accuracy: 0.842
Epoch: 7/10.. Training Loss: 0.075.. Validation Loss: 0.458.. Validation Accuracy: 0.860
Epoch: 7/10.. Training Loss: 0.071.. Validation Loss: 0.482.. Validation Accuracy: 0.869
Epoch: 7/10.. Training Loss: 0.073.. Validation Loss: 0.477.. Validation Accuracy: 0.868
Epoch: 7/10.. Training Loss: 0.079.. Validation Loss: 0.443.. Validation Accuracy: 0.867
Epoch: 7/10.. Training Loss: 0.068.. Validation Loss: 0.421.. Validation Accuracy: 0.873
Epoch: 7/10.. Training Loss: 0.069.. Validation Loss: 0.465.. Validation Accuracy: 0.867
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<pre> 70%|███████   | 7/10 [40:32&lt;17:25, 348.56s/it]</pre>
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<pre>Epoch: 7/10.. Training Loss: 0.073.. Validation Loss: 0.440.. Validation Accuracy: 0.885
Epoch: 8/10.. Training Loss: 0.070.. Validation Loss: 0.482.. Validation Accuracy: 0.857
Epoch: 8/10.. Training Loss: 0.068.. Validation Loss: 0.460.. Validation Accuracy: 0.868
Epoch: 8/10.. Training Loss: 0.069.. Validation Loss: 0.463.. Validation Accuracy: 0.868
Epoch: 8/10.. Training Loss: 0.073.. Validation Loss: 0.426.. Validation Accuracy: 0.881
Epoch: 8/10.. Training Loss: 0.070.. Validation Loss: 0.478.. Validation Accuracy: 0.863
Epoch: 8/10.. Training Loss: 0.078.. Validation Loss: 0.458.. Validation Accuracy: 0.869
Epoch: 8/10.. Training Loss: 0.071.. Validation Loss: 0.411.. Validation Accuracy: 0.884
Epoch: 8/10.. Training Loss: 0.065.. Validation Loss: 0.414.. Validation Accuracy: 0.881
Epoch: 8/10.. Training Loss: 0.056.. Validation Loss: 0.430.. Validation Accuracy: 0.881
Epoch: 8/10.. Training Loss: 0.066.. Validation Loss: 0.421.. Validation Accuracy: 0.891
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<pre> 80%|████████  | 8/10 [46:12&lt;11:31, 345.85s/it]</pre>
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<pre>Epoch: 9/10.. Training Loss: 0.066.. Validation Loss: 0.460.. Validation Accuracy: 0.877
Epoch: 9/10.. Training Loss: 0.056.. Validation Loss: 0.398.. Validation Accuracy: 0.884
Epoch: 9/10.. Training Loss: 0.061.. Validation Loss: 0.402.. Validation Accuracy: 0.897
Epoch: 9/10.. Training Loss: 0.057.. Validation Loss: 0.407.. Validation Accuracy: 0.897
Epoch: 9/10.. Training Loss: 0.067.. Validation Loss: 0.436.. Validation Accuracy: 0.888
Epoch: 9/10.. Training Loss: 0.064.. Validation Loss: 0.458.. Validation Accuracy: 0.872
Epoch: 9/10.. Training Loss: 0.063.. Validation Loss: 0.413.. Validation Accuracy: 0.890
Epoch: 9/10.. Training Loss: 0.076.. Validation Loss: 0.423.. Validation Accuracy: 0.880
Epoch: 9/10.. Training Loss: 0.069.. Validation Loss: 0.430.. Validation Accuracy: 0.879
Epoch: 9/10.. Training Loss: 0.061.. Validation Loss: 0.427.. Validation Accuracy: 0.893
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<pre> 90%|█████████ | 9/10 [51:50&lt;05:43, 343.57s/it]</pre>
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<pre>Epoch: 10/10.. Training Loss: 0.073.. Validation Loss: 0.437.. Validation Accuracy: 0.877
Epoch: 10/10.. Training Loss: 0.060.. Validation Loss: 0.479.. Validation Accuracy: 0.880
Epoch: 10/10.. Training Loss: 0.065.. Validation Loss: 0.500.. Validation Accuracy: 0.879
Epoch: 10/10.. Training Loss: 0.064.. Validation Loss: 0.439.. Validation Accuracy: 0.881
Epoch: 10/10.. Training Loss: 0.063.. Validation Loss: 0.441.. Validation Accuracy: 0.890
Epoch: 10/10.. Training Loss: 0.058.. Validation Loss: 0.400.. Validation Accuracy: 0.887
Epoch: 10/10.. Training Loss: 0.055.. Validation Loss: 0.429.. Validation Accuracy: 0.889
Epoch: 10/10.. Training Loss: 0.066.. Validation Loss: 0.435.. Validation Accuracy: 0.891
Epoch: 10/10.. Training Loss: 0.062.. Validation Loss: 0.410.. Validation Accuracy: 0.884
Epoch: 10/10.. Training Loss: 0.067.. Validation Loss: 0.400.. Validation Accuracy: 0.895
Epoch: 10/10.. Training Loss: 0.064.. Validation Loss: 0.398.. Validation Accuracy: 0.894
</pre>
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<pre>100%|██████████| 10/10 [57:48&lt;00:00, 347.72s/it]
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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"># Evaluate model</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
<span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">test_accuracy</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
    <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">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">logps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
        <span class="n">test_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="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">equality</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
        <span class="n">test_accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">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">item</span><span class="p">()</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test Loss: </span><span class="si">{:.3f}</span><span class="s2">..&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_loss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)),</span>
          <span class="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">testloader</span><span class="p">)))</span>
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<pre>Test Loss: 0.528.. Test Accuracy: 0.871
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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;epochs&#39;</span><span class="p">:</span> <span class="n">EPOCHS</span><span class="p">,</span>
    <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
    <span class="s1">&#39;input_size&#39;</span><span class="p">:</span> <span class="n">INPUT_SIZE</span><span class="p">,</span>
    <span class="s1">&#39;hidden_1_size&#39;</span><span class="p">:</span> <span class="n">HIDDEN_1_SIZE</span><span class="p">,</span>
    <span class="s1">&#39;hidden_2_size&#39;</span><span class="p">:</span> <span class="n">HIDDEN_2_SIZE</span><span class="p">,</span>
    <span class="s1">&#39;dropout&#39;</span><span class="p">:</span> <span class="n">DROPOUT</span><span class="p">,</span>
    <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="n">OUTPUT_SIZE</span><span class="p">,</span>
    <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span><span class="p">,</span>
    <span class="s1">&#39;classifier_state&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
    <span class="s1">&#39;optimizer_state&#39;</span><span class="p">:</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()}</span>

<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>

    <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>

    <span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;input_size&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_1_size&#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="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;dropout&#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_1_size&#39;</span><span class="p">],</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_2_size&#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="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span><span class="o">=</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;dropout&#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_2_size&#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">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span>
    <span class="n">classifier</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;classifier_state&#39;</span><span class="p">])</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    
    <span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">LEARNING_RATE</span><span class="p">)</span>
    <span class="n">optimizer</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;optimizer_state&#39;</span><span class="p">])</span>
    
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">optimizer</span>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">TF</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">TF</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">224</span><span class="p">)</span>
    <span class="n">tensor</span> <span class="o">=</span> <span class="n">TF</span><span class="o">.</span><span class="n">to_tensor</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">image</span><span class="p">))</span>
    <span class="k">return</span> <span class="n">TF</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</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>
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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">set_title</span><span class="p">(</span><span class="n">title</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="s1">&#39;./flowers/test/1/image_06743.jpg&#39;</span><span class="p">),</span> <span class="kc">None</span><span class="p">,</span> <span class="s1">&#39;Pink Primrose?&#39;</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="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    
    <span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
    
    <span class="c1"># invoke model to get ln(probabilities)</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">logps</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
    
    <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
    <span class="k">return</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>
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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 an image along with the top 5 classes</span>

<span class="c1">#imshow(process_image(&#39;./flowers/test/1/image_06743.jpg&#39;), None, &#39;Pink Primrose?&#39;);</span>
<span class="c1">#imshow(process_image(&#39;./flowers/test/3/image_06634.jpg&#39;), None, &#39;canterbury bells&#39;);</span>
<span class="c1">#imshow(process_image(&#39;./flowers/test/25/image_06580.jpg&#39;), None, &#39;grape hyacinth&#39;);</span>
<span class="c1">#imshow(process_image(&#39;./flowers/test/102/image_08004.jpg&#39;), None, &#39;blackberry lily&#39;);</span>
<span class="n">image_path</span> <span class="o">=</span> <span class="s1">&#39;./flowers/test/1/image_06743.jpg&#39;</span>
<span class="n">model</span><span class="p">,</span> <span class="n">optimizer</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">probabilities</span><span class="p">,</span> <span class="n">categories</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">probabilities</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">categories</span><span class="p">)</span>
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<pre>tensor([[ 9.9941e-01,  5.1432e-04,  6.3766e-05,  4.3617e-06,  2.1814e-06]])
tensor([[  0,  87,  84,  49,  76]])
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">idx_to_category</span> <span class="o">=</span> <span class="p">{</span><span class="n">v</span><span class="p">:</span> <span class="n">k</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">train_data</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
<span class="n">predicted_flowers</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">idx_to_category</span><span class="p">[</span><span class="n">cat</span><span class="p">]]</span> <span class="k">for</span> <span class="n">cat</span> <span class="ow">in</span> <span class="n">categories</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()[</span><span class="mi">0</span><span class="p">]]</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">),</span> <span class="kc">None</span><span class="p">,</span> <span class="n">predicted_flowers</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>

<span class="n">plt</span><span class="o">.</span><span class="n">rcdefaults</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="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">probabilities</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">())</span>
<span class="n">y_pos</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">predicted_flowers</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">probabilities</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">(</span><span class="n">y_pos</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">predicted_flowers</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">invert_yaxis</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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Ojbt2/uv//+TJ06Nf/5n/+ZG2+8cZOOv7Zrkazb9ahfv/6mmE7h1mfeG3OtWrRokUceeSTl5eW599578/TTT+eVV17JihUrUlFRkYqKilx77bV56KGHsv/++5eOq4qIjRo1Wq/HTYU1AAAAoCaFh7j33nsvHTt2rHV71V1IZWVlm/ROrw1x11135eSTT85DDz2UwYMHp0GDBqW75DaFv//971mxYkWdQarqenz0RQKfB6v/77+2xz2XL19euhOutmvVvXv30qPPH374YcaOHZs777wzDz74YGbPnp2+ffvmrbfeyhZbbJEkpRdyLF26NG3btk379u03+jcBAAAAn1+FrxG3+hst69q+4447lhbZ31waNmyYe++9N8cee2yS5Be/+EX+67/+a5ONv3Tp0rzyyiu1bl++fHkmT56cJNXWIPu8aNy4cXbcccckyYsvvljnvi+//HLp7ajrcq2aN2+eY445Jg888EDOP//8JMmsWbPy7LPPlvapWp8vSUaNGrXe8wcAAABYXeEhbtiwYbVumzhxYmmh/cMOO6yoKdWpYcOGGT58ePr06ZMk+elPf5pLLrlkk41f1/V48MEHS+ukfVKuR9Gqfve0adPywgsv1Lrf7bffvsYx6+rQQw8tfZ47d27p85FHHll6AcR11123Xm9cBQAAAPiowkPcI488knvvvXeN7xcsWJAzzzxz1aTq1ctZZ51V9NRq1ahRo9x///058sgjkyTXXHNN6W2qG+uWW26pdhdWlXfffTcXXXRRklUvRvjGN76xSc73aXPOOeeUXv5w5pln1vim01GjRmXIkCFJVj1+uvqbef/85z9n3LhxdZ5j9bvdOnfuXPr8hS98If3790+SvPLKKznrrLPqjHGzZ8+uFgQBAAAAVlf4GnH77LNPvva1r2XcuHE56aST0qJFi7z66qu55ppr8sYbbyRJzjvvvOyxxx5FT61OjRs3zoMPPpjjjjsuI0eOzJVXXpn69evniiuu2OAx27Vrl6ZNm+bLX/5yLrjgghx11FFp3LhxysvL8+Mf/zjvvPNOkmTQoEFrfdvsZ1WXLl1y4YUX5tprr82UKVOy99575+KLL07Xrl2zaNGiPProo7nhhhuyYsWKNGrUKL/85S+rHf/Xv/41vXr1yq677poTTjgh++yzT77whS8kSWbMmJF77rmnFIa7du2afffdt9rxP/vZz/Lcc89l6tSpueOOO/LCCy/kzDPPzJe+9KU0a9Ys8+fPz2uvvZYxY8bkiSeeSJcuXXL66acXc3EAAACAT5XCQ9y9996bQw89NDfffHNuvvnmNbb37ds3P//5z4ue1jpp3LhxHnrooRx77LEZPXp0fvSjH6VBgwa5/PLLN2i8pk2b5r777suRRx6Zq666KlddddUa+5x//vn57ne/u7FT/1S7+uqrs3Dhwtx8883585//XOPdki1btsy9996bvfbaq8Yxpk2blmnTptV6jl122SUPPPDAGm9nbdasWcaNG5d+/frlySefzLRp0/Kd73yn1nFatGixjr8KAAAA+Lwp/NHUzp0756WXXsqll16aXXbZJU2bNk3Lli1z8MEH57e//W3uu+++NGhQeB9cZ02aNMnDDz+cQw45JEkyYMCAGgPautpnn30yadKknH/++fniF7+YJk2apG3btjniiCPyxBNP5Prrr99UU//UqlevXm666aaMHz8+/fr1yz/90z+lcePGadGiRfbaa69ceumlefPNN9O7d+81jj3ooIPy/PPP50c/+lEOOeSQ/PM//3OaN2+ehg0bZptttknv3r3zy1/+MpMnT06nTp1qPH+bNm0yYsSI/P73v0///v2z4447plmzZmnQoEHatGmTbt265bzzzssTTzyR0aNHf8xXAwAAAPi0KqusrKz8uE8ycODA0iOcBZzuE++0007LsGHDsv3222f69Ombezp8ws2cOTMdO3ZMknzhnKFp0GKrzTwjAAAAqN30q/ts7ilskNX//T1jxox06NBhk5+j8DviAAAAAODzSIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAQoJcQMHDkxlZaU3pv5/Q4cOTWVlpTemAgAAAHyOuCMOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABSgweaeALDuXrj00HTo0GFzTwMAAADYAO6IAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECI4xOhZ8+eKSsrS8+ePWvcXlZWlrKysgwcOLDQeQEAAABsKkIcAAAAABTgMxfihg4dWrp7avr06Zt7OgAAAACQ5DMY4gAAAADgk0iIAwAAAIACCHEAAAAAUIDPTIgbO3ZsysrK0r9//9J3nTt3Lq0XV/Vn7Nixpe2nnXZaysrK0qlTpyTJrFmzcvHFF2e33XZL8+bN19i/yrx58/Lf//3f2X///bPVVlulcePG2W677XLcccflgQceWKf5Llq0KL/4xS/Sq1evbLPNNmnUqFG23nrr9O7dO3feeWdWrFixMZdjjbeMPv300zn++OOz3XbbZYsttsguu+ySQYMGZeHChdWOe+KJJ3LUUUeV9tt1111z1VVXZenSpbWea+nSpXn00UfzrW99K926dUvr1q3TsGHDtG3bNvvuu28GDhyYuXPnbtTvWRcrV67Mb3/72xx11FHZdttt06hRo7Rr1y69evXKzTffXOtv6NOnT8rKyrL//vvXuP3ZZ58tXc9WrVrV+L/NvHnzUq9evZSVleWmm27apL8LAAAA+GxosLkn8Enxwgsv5JhjjllrMHriiSfSr1+/zJ8/v9r3s2bNyiOPPJJHHnkkffr0yd13351mzZrVOEZFRUVOOOGE/O1vf6v2/Zw5czJ69OiMHj06t956ax555JFss802G/fDklx99dW59NJLU1lZWfruD3/4QwYMGJAnn3wyI0eOzJZbbpkLLrgg119/fbVjX3/99Vx66aUZP358HnvssdSvX3+N8c8888wMGzZsje/ff//9lJeXp7y8PIMHD87DDz+cAw44YKN/T03ef//9HHvssZkwYUK17+fOnZuxY8dm7NixGTx4cEaMGJHtt9++2j49e/bME088kYkTJ2bBggVr/O+2eoz94IMP8vLLL2efffapts+4ceNK17dHjx6b8JcBAAAAnxWfmTviunXrlilTpuS///u/S9+NHDkyU6ZMqfanW7duaxy7YMGC9O3bN4sXL84PfvCDjB07NuXl5RkyZEjat29f2m/06NE59thjM3/+/HTq1CnXXHNNxo4dm0mTJuXRRx/N17/+9STJ448/nm984xs1znPKlCnp1atX/va3v2XrrbfOD3/4w4wZMyYvv/xyRo4cmfPOOy8NGjRIeXl5jjvuuCxbtmyjrsuIESPy/e9/P/vtt19+97vfZeLEiXnyySdz5JFHJkmee+65XH311bnuuuty/fXX58gjj8z999+fl156KQ8//HD222+/JMmTTz6Z2267rcZzLF++PDvssEMuvPDC3HPPPXn++edTUVGR++67L2effXYaNWqUv//97znhhBMye/bsjfo9NVmxYkWOPvroUoTr0aNHhg8fnokTJ+aRRx7J8ccfn2RVVDz00EOzYMGCasdXhbPly5fn2WefXWP8j94VWdNdklXfbbXVVtltt9028hcBAAAAn0mVnzF33nlnZZLKJJVvv/12nft+4xvfKO3brFmzysmTJ9e674IFCyq32WabyiSVvXv3rly4cGGN+/3qV78qjTlmzJhq21auXFm5xx57VCap3HPPPSvnzJlT4xgjRoyorFevXmWSyttvv73uH1yLqjkkqezbt2/l8uXLq21fvnx55X777VeZpLJ58+aVTZo0qfzOd76zxjgLFy6s3H777SuTVO6xxx41nutPf/pT5cqVK2udy6uvvlrZrFmzyiSVl112WY379OjRozJJZY8ePer8PT/84Q/X2DZ48ODS9lNPPbXGuVx66aWlfb73ve9V27Z8+fLK5s2bVyapvPjii6ttW7p0aWXTpk0rk1Qee+yxlUkq+/Tps8b4e+65Z2WSyhNPPLGWq1C7GTNm1PmnvLy8NPcZM2as9/gAAADA2s2YMeNj//f3Z+aOuI31ve99L3vuuWet2++888689957adKkSX7zm9+kadOmNe53xhlnpHv37qVjVvf444/n1VdfTZL8+te/zlZbbVXjGEcccUROOumkGsdYX02bNs2vfvWrNR4prV+/fs4666wkyYcffph27drlJz/5SY3HV93d9+qrr+aDDz5YY58vfvGLKSsrq3UOXbp0yemnn54keeihhzb4t9Smak22rbbaKoMHD65xLj/60Y+y8847J0luu+22LFmypLStfv36pUdmP3q3W3l5eRYtWpQWLVrkggsuSLJqzbjV14mbN29epkyZkmTVY67rq2PHjnX+qfrvCQAAAPh0E+L+v379+tW5/eGHH06y6jHGrbfeus59Dz744CTJ888/X+MY//Iv/5I99thjncaoqKjYqBc3fPnLX06bNm1q3Lb6HE488cQ0bNiwxv1WD5Rvv/32Ws85b968vPXWW3nttdcyderUTJ06Na1atUqSTJs2baMft13dO++8k9dffz1JcvLJJ6d58+Y17le/fv3SizzmzZuXSZMmVdteFdBeeumlao+uVoW5gw46KP/6r/+aLbbYorROXJXx48dn5cqVSawPBwAAANTOyxqSNGvWLDvssEOd+0ycODHJqnXn6rr7a3XvvvtujWO88cYb6zzG0qVL8/7776ddu3brtP9H7bTTTrVuq4pj67Pfhx9+WOM+U6ZMyXXXXZcRI0as8btXt3LlysybN2+tMXNdTZ06tfR53333rXPf1bdPnTq12ltSP7pO3BFHHJHk/0Jcz54906hRo+y///556qmnMnbs2NILG6r2adOmTbp06bLev2HGjBl1bp81a5a74gAAAOAzQIhL9dBUk2XLlq3xltR1sWjRomp/39AXFXx0nPVR2yO0SVKvXr313q+mu/OGDBmSs88+O8uXL1+nOf3jH/9Yp/3Wxfvvv1/6vLY3zG677bY1Hpck++yzT5o1a5YFCxZk7NixOeKII7Js2bI899xzSf7vjrmePXuWQtxFF11k7Sm8AAAgAElEQVSU5P9C3MEHH7zOgXV1HTp0WO9jAAAAgE8fIS5ZY/20j1o9Pp188sm5/PLLN+g8VeMccMABufXWW9f5uO22226DzleEP/zhD6UIt/XWW+e//uu/csghh6RTp05p3rx56XHXO+64I9/85jeTJJWVlR/LXNYWweo6b4MGDfKv//qvGTVqVCmsVVRUlNaH69q1a5L/C3LPPPNMVqxYkQ8//LC07t+GrA8HAAAAfH4IceugSZMmadq0aRYtWpT58+dn991336Bx2rZtm/feey9z5szZ4DE+aYYOHZrly5enfv36GTt2bHbZZZca95s3b97Hcv7V17+r65HYJHnvvfdqPK5Kz549M2rUqNI6cauvD1cVa/fdd99sscUW+d///d+8/PLLeeedd6wPBwAAAKyTz9zLGjbk0cB1UXVH1IQJEzb4UdGqMf74xz/mL3/5yyab2+b02muvJVn1QofaIlzyf+vjbWqrB80XX3yxzn3Ly8trPK7KR9eJW319uCpV68Qlqx5JrdqndevWa30BBwAAAPD59pkLcU2aNCl9XrJkySYb99hjj02SLFy4MDfddNNGjZEkP/nJTzbJvDa3qnXh6oqT7777bumNsZvadtttVwqAw4cPr/VlEitWrMjQoUOTrIpme++99xr7dOvWLVtuuWWSZPTo0WusD1el6u+rh7iDDjqo2lp6AAAAAB/1mSsH7du3L31+6623Ntm4Z599drbaaqskyeWXX54RI0bUuf+ECRMyfvz4at/17du3FI1uueWWDBkypM4xpk6dmkcffXQjZv3x23HHHZOsusvvhRdeWGP7okWL8rWvfW2TvqDho84777wkyZw5c/Ltb3+7xrXgrrjiikybNi1JcsYZZ6Rx48Zr7NOwYcPS3W5DhgzJwoULq60PV6UqxI0bNy6vvPJKte8AAAAAavOZC3Fdu3Yt3RV3+eWXZ9SoUfnjH/+YP/3pT/nTn/60wUGoRYsWueuuu9KgQYMsWbIkRx99dE4++eTcc889mThxYiZOnJhHH300AwcOzJ577pkDDzywtIh/lfr16+eee+5Js2bNUllZmdNPPz1HHHFEfv3rX+fFF1/MpEmT8uSTT+aqq67KAQcckC5dumTcuHEbfU0+TqecckqSZOXKlTnqqKNy9dVXZ/z48SkvL88tt9ySvfbaK08//XQOOOCAj20OZ599dimgDRs2LIccckjuu+++TJo0KY8//nj69u2bQYMGJUm++MUv1vmyjaqg9sEHHySpvj5clap14hYsWGB9OAAAAGCdfeZe1tC8efOcf/75+clPfpJJkybl8MMPr7b96aef3uC7lw477LCMHDky/fr1y7vvvpvhw4dn+PDhte7fokWLNb7r0qVLJkyYkJNOOilvvvlmRo4cmZEjR67XGJ8k3bp1yxVXXJEf/vCHmTdvXr7//e+vsc+FF16Y3XffPRMmTPhY5lC/fv089thjOfbYYzNhwoRqj4yubpdddsmIESPSrFmzWsf6aFCr6b+VqnXinnrqqSRJy5Yts9dee23UbwAAAAA++z5zd8QlydVXX53bbrstBx10UNq0abPGHU0b45BDDslbb72VwYMH54gjjkj79u3TqFGjNGnSJB07dkzv3r1z5ZVX5g9/+ENOPfXUGsfYY489Mm3atAwbNizHH398OnbsmCZNmqRRo0Zp3759evbsmcsuuywvvfRSBgwYsMnm/nEZMGBAHn/88fTu3TutW7dOo0aN0qFDh5x44okZNWpUfvrTn37sc2jTpk3Gjx+f3/zmNzniiCOyzTbbpGHDhmnbtm169uyZwYMHZ/Lkydl+++3rHKd79+5p2rRp6e+1RdtevXqVPlsfDgAAAFgXZZU1LagFfGLMnDkzHTt2TJLMmDEjHTp02MwzAgAAgM+eIv797TYeAAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcQAAAABQACEOAAAAAAogxAEAAABAAYQ4AAAAACiAEAcAAAAABRDiAAAAAKAAQhwAAAAAFECIAwAAAIACCHEAAAAAUAAhDgAAAAAKIMQBAAAAQAGEOAAAAAAogBAHAAAAAAUQ4gAAAACgAEIcAAAAABRAiAMAAACAAghxAAAAAFAAIQ4AAAAACiDEAQAAAEABhDgAAAAAKIAQBwAAAAAFEOIAAAAAoABCHAAAAAAUQIgDAAAAgAIIcZ8CAwcOTFlZWcrKyjZ4jJ49e6asrCw9e/ZcY9v06dNL4w8dOnSDzzF06NDSONOnT9/gcQAAAAA+i4Q4AAAAACiAEAcAAAAABWiwuSdAMcaOHfuxn+O0007Laaed9rGfBwAAAODTyB1xAAAAAFAAIQ4AAAAACiDEfQotXrw41157bfbee+80b948zZs3T/fu3TN48OAsX768xmPqemtqTYYPH57DDjssW2+9dbbYYovsvPPOueSSSzJv3rxaj1mXt6a+9NJL+eY3v5mddtopW265ZZo0aZKOHTvmS1/6Us4777w88sgjqaysrPUc06dPz8UXX5wvfelLadu2bZo0aZLOnTunV69e+dnPfpa//vWva+y/rm+E7dSpU8rKymp9vHb+/Pm58sors//++6d169Zp2LBh2rVrl1133TUnnHBCbrnllsyePbvOcwAAAACfX9aI+5R57733cvjhh+eVV16p9n1FRUUqKioyatSoPPTQQ6lXb8Mb6ze/+c3ccccd1b574403cs011+TXv/51xowZk1133XW9x73uuuty0UUXZeXKldW+nzlzZmbOnJlJkybl5ptvzocffphmzZqtcfxPf/rTXHrppVm2bFm176dPn57p06dn7NixefTRRz+W9fBef/31HHbYYXnnnXeqfT937tzMnTs3r7/+eh566KGsWLEi3/rWtzb5+QEAAIBPPyHuU+bEE0/M66+/nvPPPz/HHHNM2rRpkzfeeCODBg3K66+/nkcffTS33XZbzjrrrA0a/+abb05FRUW6d++eCy64IDvuuGNmz56dYcOG5Z577smsWbNy+OGH57XXXkuLFi3WedxXX321FOE6d+6cb33rW9lrr73Spk2bLFiwIG+++WaefvrpPPjggzUeP2jQoAwYMCBJ0qpVq5x77rnp1atX2rZtm/nz52fSpEl58MEHU1ZWtkG/e21OOeWUvPPOO2nYsGHOOOOMHHnkkdl2222zcuXKvPPOOykvL8/999//sZwbAAAA+GwQ4j5lqu56W/0R07333juHH354dt1117z33nu5+eabNzjEVVRU5KijjsrDDz+cBg3+7z+PI488MrvttlsGDBiQmTNnZtCgQbn22mvXedz77rsvK1euzJZbbpnnn38+22yzTbXtBx54YPr3758PPvggTZs2rbZt0qRJGThwYJJkp512yu9///t06NCh2j69evXKhRdemJkzZ67nL167P//5z3nppZeSJD//+c9rvOPt+OOPz5VXXpn58+ev9/hrm/OsWbPWe0wAAADgk8cacZ8y3/72t2tc561Nmzbp379/klV3n33wwQcbNH7jxo1z2223VYtwVX7wgx9k9913T5IMGTIkS5YsWedx33333SSrQtpHI9zqWrZsucZjtddee21WrlyZsrKy3H333WtEuNXVtW1DVc09SQ4++OBa9ysrK0vr1q3Xe/yOHTvW+ad79+4bNG8AAADgk0WI+5Tp169frdu+9KUvlT6//fbbGzR+7969s91229W4rV69evnGN76RJJk3b14mTZq0zuO2b98+STJt2rSUl5ev83ErV67Mk08+mSTp0aNHunbtus7HbipVc0+y1hc+AAAAANRGiPuU2XnnnWvd1qZNm9LnDz/8cIPG79atW53bV787a+rUqes87r//+7+nYcOGWbJkSQ444IAcc8wxufXWW/Paa6/V+ZbUt99+u/S4Z113o32cOnfunIMOOijJqhdOVD2i+9RTT2XRokUbPf6MGTPq/LM+4RIAAAD45BLiPmU+un7a6lZ/pHPFihUbNP7WW29d5/bVHyt9//3313ncnXfeOXfddVdat26d5cuX57HHHss555yT3XffPVtvvXVOOeWUPPPMM2scN3fu3NLn1e9MK9pdd92V/fffP8mqu/oGDRqUQw89NK1atUqPHj1y6623ZvHixRs0docOHer8szl/NwAAALDpCHFUs7a3jtZ199ra9O3bN2+//XZ++ctf5sQTT0y7du2SrIptv/3tb3PwwQfntNNOy8qVKzdobh+nL3zhC3nuuecyZsyYnHvuudltt91SVlaWZcuWZfz48aWo+Mc//nGzzREAAAD4ZBPiqOa9996rc/vs2bNLn1d/FHZdtWzZMmeeeWbuv//+zJ49O6+99lquuuqq0rp0w4YNy4033ljaf6uttip9fuedd9b7fKvfJVhb4KuycOHCtY536KGH5qabbsrUqVMzZ86c3H333TnkkEOSJG+99Va++tWvrvccAQAAgM8HIY5qKioq1nl71RtUN8auu+6aSy65JC+88EK23HLLJMm9995b2t65c+fSm0jHjx+/3uM3b9689HnevHm17vf3v/+92mOw66Jt27b56le/mt///vc59thjkySTJ0/Om2++ud7zBAAAAD77hDiqGTVqVGbNmlXjtpUrV2bYsGFJktatW2fvvffeZOft2LFjdtpppyTV14WrV69ejjrqqCTJuHHj8vLLL6/XuK1bt06rVq2SJBMnTqx1v7vuumt9p1zNoYceWvq8vkEPAAAA+HwQ4qhmyZIlOeuss2p82cPVV1+dKVOmJEn+4z/+I40bN17ncR966KHS209rMmPGjPzhD39IsuouuNVddNFFqVevXiorK/Nv//ZvmTlzZq3j1LSt6m2rDz/8cN566601tr/++usZMGBArWNOnjw5kydPrnV7ZWVlxowZk2TVOnadOnWqdV8AAADg86vB5p4Anyz77LNPHn300RxwwAG54IILsuOOO2b27NkZNmxY7r777iSr3vJ5+eWXr9e4v/jFL9KvX7/06dMnhxxySHbZZZe0bNky8+bNy8SJE3PjjTfmH//4R5LknHPOqXbsXnvtlSuuuCKXX355/vjHP6ZLly4577zz0qtXr7Rt2zbz58/P5MmT88ADD6R+/fp5+umnqx1/7rnn5pFHHsk//vGP9OzZMwMHDkzXrl2zYMGCjBkzJtdff3223nrrNGjQIHPmzFlj7pMnT07//v3TrVu3HHPMMdl7772z7bbbZtmyZXn77bdz5513ZvTo0UmS4447zltOAQAAgBoJcVRz3nnnZdy4cRk6dGj+7d/+bY3t7du3z8iRI9OyZcv1HnvRokUZPnx4hg8fXuP2+vXrZ9CgQTnuuOPW2HbZZZelfv36GTBgQObPn58rr7wyV1555Rr79ejRY43vDj/88Jx//vm54YYbMnPmzJx++unVtnfs2DEPP/xw6RHY2lRUVNS5ht6BBx6YIUOG1DkGAAAA8PklxLGGO++8M717986vfvWrTJkyJQsWLMj222+f448/Ppdccknp5Qnr4957782YMWMyevToTJ48Oe+++27mzp2bJk2apFOnTjn44INz9tlnp0uXLrWO8f3vfz8nnXRSbr755owZMyZ//etfs3Tp0my33Xbp3LlzjjnmmFrfWnr99ddnv/32y6233prJkydn2bJl+ad/+qeccMIJueiii9K2bdtaz/u1r30tnTp1yujRo/PMM89k5syZee//sXfnUVpVd764P8UsioIgOEAAFZRGY5QhKlfF2ajBRDuOUfHGKRK9UWPH2Ao43TZpr6Y7YhyDJnHA2CpGRY0sQVQQEGM0agI4BBJQVBQjkwXv7w8W7w+sAaqoOgg+z1q11uE9++zvPvVuy3o/tc85776bysrKdOzYMXvssUeOP/74HHfccas9pRUAAABgVRWlUqm0vgcB1Gz27Nnp0qVLkhX30uvcufN6HhEAAABsfIr4/G35DgAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEMeX2vDhw1NRUZGKior1PRQAAABgIyeIAwAAAIACCOJoEIMHD05FRUW6deu2vocCAAAA8IUkiONLbfjw4SmVSimVSut7KAAAAMBGThAHAAAAAAUQxAEAAABAAQRxG7jPP/Xzo48+yrBhw9K7d+9sttlm2XLLLTNw4MDcdddda+yrsrIyt99+ew4//PBsu+22admyZTp06JB99903P//5z7N48eIa6995551Jknfeeac8nlW/VrXyteHDh9c6noEDB6aioiIDBw6ssm/cuHHlfsaNG5ckue+++3LggQdmq622yiabbJKddtop//Zv/5YPP/ywxhpremrq0qVL8/vf/z4/+MEP0q9fv7Rr1y7NmzdP+/bt8/Wvfz3Dhw/P+++/X+t5AAAAACRJs/U9ABrOW2+9lYMPPjgzZ84sv/bpp59m/PjxGT9+fB566KHcc889adas6ts+c+bMDBo0KK+99tpqr3/wwQeZMGFCJkyYkBtvvDGPPvpoevTo0ejnUhfLli3LSSedlLvvvnu11//617/mP//zP/Pggw9mwoQJ2Xrrrevc95lnnlkOGVf14YcfZvLkyZk8eXJuuOGGjB49OgMGDKj3OQAAAAAbPyviNiLHHXdc3nrrrZx99tl56qmnMmXKlNx+++3p2bNnkuT+++/PBRdcUOW4OXPmZMCAAXnttdfSpk2bXHjhhRkzZkymTZuWp59+Oj/5yU/SunXrTJ8+PYcddlg+/vjj8rHnnHNOXnnllRx11FFJkm233TavvPJKla/GNHTo0Nx999351re+lQceeCAvvvhiHnvssRxxxBFJkhkzZuT888+vV9+VlZXZfvvtc+GFF2bUqFGZOHFipkyZkvvvvz9nn312WrRokQ8++CDf/va389577zXkaQEAAAAbGSviNiJTpkzJ3XffnRNOOKH8Wt++ffOd73wn++yzT15++eWMGDEiZ5xxRnbddddymzPPPDPvvvtuunTpknHjxmX77bdfrd+BAweW+3jzzTdz7bXX5sorr0ySdOzYMR07dkzbtm2TJM2bN88uu+xSwNn+/55//vlcddVV+fd///fVXj/ssMNy2GGH5cknn8z999+f//7v/85WW21Vp74vv/zybL/99lUuXe3bt2+OOeaYnHPOOdl7770zb968/OIXvyh/X+pi9uzZte6fM2dOnfsEAAAAvnisiNuIHHnkkauFcCu1adMmt9xyS5Jk+fLluemmm8r7Xn311TzyyCNJkhtuuKFKCLfS7rvvniFDhiRJfvWrXzX00NdJnz59cskll1R5vaKiorwCsLKyMhMnTqxz3zvssEON949Lkl133TWnn356kuShhx6qc/9J0qVLl1q/+vfvX69+AQAAgC8WQdxG5LTTTqtxX//+/dO7d+8kyVNPPVV+ffTo0UmS1q1bly/lrMm+++6bJPnHP/6RWbNmretwG8yJJ55YY1jWp0+f8vabb765zrXmz5+fmTNn5s9//nNeffXVvPrqq+XVgK+99lo+++yzda4BAAAAbJxcmroR6devX637+/fvnz//+c+ZPn16li5dmhYtWmTq1KlJkoULF1b7EIeazJ07N126dFmn8TaUnXfeucZ9W265ZXn7k08+qVf/r7zySq6//vqMGTMmc+fOrbHd8uXLM3/+/HTs2LFO/a8p1JwzZ45VcQAAALAREMRtRNYUAHXq1ClJUiqVMn/+/HTq1KneDxhYuHBhvY5rDK1bt65xX5Mm//+iz2XLltW579tvvz1nn312Kisr16r9okWL6lyjc+fOdT4GAAAA2PAI4jYitd3LLFkRwH3eynCqe/fuefjhh9e6Vvfu3es2uA3QG2+8UQ7hOnbsmIsuuigHHHBAunXrljZt2qR58+ZJVtwz73vf+16S6r/HAAAAAIkgbqOy8smnNVm5+q2ioiLt2rVLkrRv37587M4771yny1Prq6KiIqVSKcuXL6+13aefftroY6nNHXfckcrKyjRt2jTjxo1Lr169qm03f/78gkcGAAAAbIg8rGEjMmXKlLXa36NHj7Ro0SLJiqehJisuNX3uuefqXXtNq/FW1aZNmyS1B1jLly/P9OnT6z2ehvDnP/85SbLbbrvVGMIlKd9nDwAAAKA2griNyJ133lnjvqlTp+bVV19Nkhx00EHl14866qjy9s9+9rN6127VqlWSZMmSJWtsu/Ky1toCrMceeywff/xxvcfTEFbeF662++HNnTu3/ORZAAAAgNoI4jYiDz/8cO67774qr//zn//MmWeemWTFwwvOOuus8r5+/frlkEMOSbIi/Bo2bFitNd5+++3cc889VV7fZpttkqy4/HVNTyfdb7/9kiQvvPBCtavw5syZk/POO6/WPorQo0ePJMlf//rXTJo0qcr+hQsX5sQTT6zXAxoAAACALx9B3Eakb9++OfHEEzNkyJA8/fTTefHFFzNy5Mj07ds3L730UpJkyJAh+epXv7racSNHjiwHaVdccUX23HPP3HLLLZk4cWJeeumlPPXUU7nuuutyyCGHZMcdd8z//M//VKm99957J1lxSenZZ5+dSZMmZfr06ZkxY0ZmzJixWtszzzwzzZo1S6lUyje/+c38/Oc/z9SpU/P888/nP//zP7P77rtnwYIF5SBsfTn55JOTrDinww8/PNdcc02eeeaZTJ48Ob/85S/zta99LU8//XQGDBiwXscJAAAAbBg8rGEjct999+XAAw/MjTfemBtvvLHK/mOOOSbXXXddlde33XbbTJw4Md/5zncyZcqUvPDCC3nhhRdqrLP55ptXee2AAw7InnvumUmTJuXuu+/O3Xffvdr+VZ8m2rt37/zsZz/LBRdckPnz5+f8889frW27du3y0EMPZejQoev1PnH9+vXL5TUSBIoAACAASURBVJdfnmHDhmX+/Pn5yU9+UqXNhRdemF122WWd7q8HAAAAfDlYEbcR6d69e1588cVccskl6dWrV1q3bp0tttgi++67b37729/m/vvvr/GpqF27ds0LL7yQBx98MMcff3y6d++e1q1bp3nz5tlqq62y995758ILL8z48eNz++23Vzm+SZMmefLJJ3PppZdmt912y2abbVbrAxzOP//8PP744zn00EPTrl27tGzZMt27d8+QIUPyxz/+Mfvuu2+DfV/WxdChQ/Poo4/mkEMOSbt27dKiRYt07tw5Rx99dJ588slce+2163uIAAAAwAaiorTqUiU2OMOHD8/ll1+eZPVVZ2w8Zs+enS5duiRJZs2alc6dO6/nEQEAAMDGp4jP31bEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxG7jhw4enVCp5YioAAADAF5wgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAIK49WjcuHGpqKhIRUVFxo0bt76H84UxcODAVFRUZODAget7KAAAAAANRhAHAAAAAAUQxAEAAABAAZqt7wF8mQ0cODClUml9DwMAAACAAlgRBwAAAAAFEMQBAAAAQAEaLYgbPnx4+YmgSbJgwYIMHz48u+66azbbbLN06tQphx9+eJ5//vnVjnvvvfdy6aWXpnfv3tl0003Tvn37HHXUUXnppZfWWHP58uX57W9/m8MPPzxbb711WrRoka222ir7779/brzxxixdunStx/vxxx/nyiuvzO677562bdumoqIid9xxR7n9yrbDhw9PkkyZMiUnnHBCOnfunJYtW2a77bbLySefnNdff73Gmmt6aurgwYNTUVGRbt26JUk++uijDB06tPy9adu2bfbdd9/cdddda/zeJMnDDz+cQw89NB06dEjr1q3Ts2fPXHTRRZk7d26SpFu3bqmoqMjgwYPXqr+avP/++7nooovSs2fPbLLJJunUqVMOPvjgPPjgg0mSO+64o3zeb7/9dr3rPPvsszn55JPTrVu3tGrVKm3bts3uu++eSy+9NPPmzavxuM9/35cvX55f/epX2X///dOpU6c0adIkgwcPzp/+9Kdyu5/+9KdrHM8vfvGLcvvPz2sAAACAlBrJsGHDSklKSUp/+9vfSj179iz/e9Wvpk2blu67775SqVQqvfzyy6Xtttuu2nYtW7YsjR07tsZ6H3zwQWnAgAHVHrvyq1evXqW33357jeP961//WurWrVuV40eOHFluv/K1YcOGlX7xi1+UmjVrVm3N1q1bl8aPH19tzaeffrrc7umnn66y/9RTTy0lKXXt2rX0+uuvVzumlV9Dhgyp8XuzfPny0llnnVXjsVtvvXVp2rRppa5du5aSlE499dQa+1qTP/7xj6WtttqqxlpnnnlmaeTIkeV/v/XWW1X62G+//UpJSvvtt1+1NZYtW1YaMmRIre/1FltsUXryySerPX7V7/uYMWNKBx10UJXjV34P+vXrV0pS2mmnndZ47rvvvvtat62LWbNmlcc1a9asBu0bAAAAWKGIz9+FXJr6ne98J7Nnz85PfvKTjB8/PlOmTMn111+fzTffPMuWLcv3vve9vPXWWznyyCOzaNGiXH311Xn22Wfzwgsv5PLLL0+LFi2yZMmSnHbaadWualu2bFmOPPLIPPfcc0mS/fbbL7/73e8yderUPPzww/nWt76VJHn99ddz4IEH5p///Get4/3Xf/3X/P3vf8+5556bP/zhD5k6dWruueee7LTTTlXaPvHEEznvvPPSu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