Image Classifier Project.html

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<title>Image Classifier Project</title>

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}
.glyphicon-triangle-bottom:before {
  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:https://fontawesome.io - @fontawesome
 *  License - http:https://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:https://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:https://www.xcolors.net/dl/baskerville-ivorylight and
   http:https://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;
}
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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 */
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.highlight .mi { color: #666666 } /* Literal.Number.Integer */
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.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 */
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.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 */
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.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
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.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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<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; }
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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:https://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>
<p>Please make sure if you are running this notebook in the workspace that you have chosen GPU rather than CPU mode.</p>

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

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
    <span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">25</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="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="p">)</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="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="p">)</span>
<span class="p">])</span>

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

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

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http:https://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>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">input_size</span> <span class="o">=</span> <span class="mi">25088</span> <span class="c1"># 512 * 7 * 7</span>
<span class="n">hidden_layers</span> <span class="o">=</span> <span class="p">[</span><span class="mi">120</span><span class="p">,</span> <span class="mi">90</span><span class="p">,</span> <span class="mi">80</span><span class="p">]</span>
<span class="n">output_size</span> <span class="o">=</span> <span class="mi">102</span> <span class="c1"># flower categories</span>
<span class="n">learn_rate</span> <span class="o">=</span> <span class="mf">0.001</span>

<span class="k">def</span> <span class="nf">model_setup</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">,</span> <span class="n">output_size</span><span class="p">,</span> <span class="n">dropout</span><span class="o">=</span><span class="mf">0.5</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="c1"># freeze parameters</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">Dropout</span><span class="p">(</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">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span>
        <span class="n">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">Linear</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">1</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">Linear</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">2</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">Linear</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">[</span><span class="mi">2</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="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">cuda</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">model</span>
    
<span class="n">model</span> <span class="o">=</span> <span class="n">model_setup</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">,</span> <span class="n">output_size</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">learn_rate</span><span class="p">)</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:20&lt;00:00, 26437512.86it/s]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validation_loader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">):</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="k">for</span> <span class="n">ii</span><span class="p">,</span> <span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">validation_loader</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">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda:0&#39;</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="s1">&#39;cuda:0&#39;</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="s1">&#39;cuda:0&#39;</span><span class="p">)</span>

        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span>
        <span class="n">equality</span> <span class="o">=</span> <span class="p">(</span><span class="n">labels</span><span class="o">.</span><span class="n">data</span> <span class="o">==</span> <span class="n">ps</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span>
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">equality</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
    
    <span class="k">return</span> <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">epochs</span> <span class="o">=</span> <span class="mi">5</span>
<span class="n">print_every</span> <span class="o">=</span> <span class="mi">5</span>
<span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>

<span class="c1"># activate to cuda</span>
<span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>

<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
    <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="k">for</span> <span class="n">ii</span><span class="p">,</span> <span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">train_loader</span><span class="p">):</span>
        <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
        <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</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="s1">&#39;cuda&#39;</span><span class="p">)</span>
        
        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        
        <span class="c1"># Forward and backward passes</span>
        <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
        
        <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
        
        <span class="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="c1"># Turn off gradients for validation, will speed up inference</span>
            <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                <span class="n">test_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">validation</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">validation_loader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">)</span>
            
            <span class="nb">print</span><span class="p">(</span>
                <span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">... &quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span>
                <span class="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                <span class="s2">&quot;Test Lost </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">validation_loader</span><span class="p">)),</span>
                <span class="s2">&quot;Test Accuracy: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">validation_loader</span><span class="p">)),</span>
            <span class="p">)</span>

            <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>

            <span class="c1"># Make sure dropout and grads are on for training</span>
            <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
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<pre>Epoch: 1/5...  Training Loss: 4.601 Test Lost 4.550 Test Accuracy: 0.025
Epoch: 1/5...  Training Loss: 4.529 Test Lost 4.488 Test Accuracy: 0.031
Epoch: 1/5...  Training Loss: 4.457 Test Lost 4.347 Test Accuracy: 0.078
Epoch: 1/5...  Training Loss: 4.352 Test Lost 4.150 Test Accuracy: 0.139
Epoch: 1/5...  Training Loss: 4.181 Test Lost 3.984 Test Accuracy: 0.127
Epoch: 1/5...  Training Loss: 4.103 Test Lost 3.802 Test Accuracy: 0.153
Epoch: 1/5...  Training Loss: 4.054 Test Lost 3.533 Test Accuracy: 0.210
Epoch: 1/5...  Training Loss: 3.771 Test Lost 3.362 Test Accuracy: 0.231
Epoch: 1/5...  Training Loss: 3.584 Test Lost 3.221 Test Accuracy: 0.269
Epoch: 1/5...  Training Loss: 3.446 Test Lost 2.910 Test Accuracy: 0.360
Epoch: 1/5...  Training Loss: 3.181 Test Lost 2.645 Test Accuracy: 0.379
Epoch: 1/5...  Training Loss: 2.956 Test Lost 2.482 Test Accuracy: 0.415
Epoch: 1/5...  Training Loss: 2.815 Test Lost 2.509 Test Accuracy: 0.369
Epoch: 1/5...  Training Loss: 2.651 Test Lost 2.146 Test Accuracy: 0.459
Epoch: 1/5...  Training Loss: 2.657 Test Lost 2.081 Test Accuracy: 0.485
Epoch: 1/5...  Training Loss: 2.531 Test Lost 1.942 Test Accuracy: 0.510
Epoch: 1/5...  Training Loss: 2.357 Test Lost 1.842 Test Accuracy: 0.527
Epoch: 1/5...  Training Loss: 2.236 Test Lost 1.830 Test Accuracy: 0.490
Epoch: 1/5...  Training Loss: 2.365 Test Lost 1.831 Test Accuracy: 0.503
Epoch: 1/5...  Training Loss: 2.129 Test Lost 1.638 Test Accuracy: 0.578
Epoch: 2/5...  Training Loss: 0.862 Test Lost 1.595 Test Accuracy: 0.581
Epoch: 2/5...  Training Loss: 2.038 Test Lost 1.534 Test Accuracy: 0.582
Epoch: 2/5...  Training Loss: 1.697 Test Lost 1.477 Test Accuracy: 0.604
Epoch: 2/5...  Training Loss: 1.925 Test Lost 1.372 Test Accuracy: 0.618
Epoch: 2/5...  Training Loss: 1.814 Test Lost 1.325 Test Accuracy: 0.648
Epoch: 2/5...  Training Loss: 1.852 Test Lost 1.330 Test Accuracy: 0.624
Epoch: 2/5...  Training Loss: 1.688 Test Lost 1.211 Test Accuracy: 0.670
Epoch: 2/5...  Training Loss: 1.657 Test Lost 1.206 Test Accuracy: 0.674
Epoch: 2/5...  Training Loss: 1.683 Test Lost 1.257 Test Accuracy: 0.660
Epoch: 2/5...  Training Loss: 1.599 Test Lost 1.244 Test Accuracy: 0.651
Epoch: 2/5...  Training Loss: 1.765 Test Lost 1.145 Test Accuracy: 0.697
Epoch: 2/5...  Training Loss: 1.581 Test Lost 1.145 Test Accuracy: 0.682
Epoch: 2/5...  Training Loss: 1.623 Test Lost 1.168 Test Accuracy: 0.685
Epoch: 2/5...  Training Loss: 1.670 Test Lost 1.073 Test Accuracy: 0.696
Epoch: 2/5...  Training Loss: 1.659 Test Lost 1.076 Test Accuracy: 0.708
Epoch: 2/5...  Training Loss: 1.605 Test Lost 1.041 Test Accuracy: 0.710
Epoch: 2/5...  Training Loss: 1.686 Test Lost 1.036 Test Accuracy: 0.709
Epoch: 2/5...  Training Loss: 1.414 Test Lost 1.069 Test Accuracy: 0.691
Epoch: 2/5...  Training Loss: 1.507 Test Lost 0.997 Test Accuracy: 0.718
Epoch: 2/5...  Training Loss: 1.615 Test Lost 1.005 Test Accuracy: 0.739
Epoch: 2/5...  Training Loss: 1.540 Test Lost 0.962 Test Accuracy: 0.730
Epoch: 3/5...  Training Loss: 1.092 Test Lost 0.967 Test Accuracy: 0.723
Epoch: 3/5...  Training Loss: 1.387 Test Lost 0.911 Test Accuracy: 0.737
Epoch: 3/5...  Training Loss: 1.301 Test Lost 0.853 Test Accuracy: 0.754
Epoch: 3/5...  Training Loss: 1.257 Test Lost 0.898 Test Accuracy: 0.754
Epoch: 3/5...  Training Loss: 1.409 Test Lost 0.823 Test Accuracy: 0.774
Epoch: 3/5...  Training Loss: 1.345 Test Lost 0.841 Test Accuracy: 0.758
Epoch: 3/5...  Training Loss: 1.290 Test Lost 0.822 Test Accuracy: 0.765
Epoch: 3/5...  Training Loss: 1.349 Test Lost 0.781 Test Accuracy: 0.766
Epoch: 3/5...  Training Loss: 1.244 Test Lost 0.836 Test Accuracy: 0.762
Epoch: 3/5...  Training Loss: 1.359 Test Lost 0.803 Test Accuracy: 0.781
Epoch: 3/5...  Training Loss: 1.257 Test Lost 0.777 Test Accuracy: 0.770
Epoch: 3/5...  Training Loss: 1.349 Test Lost 0.831 Test Accuracy: 0.771
Epoch: 3/5...  Training Loss: 1.491 Test Lost 0.792 Test Accuracy: 0.780
Epoch: 3/5...  Training Loss: 1.271 Test Lost 0.833 Test Accuracy: 0.760
Epoch: 3/5...  Training Loss: 1.448 Test Lost 0.856 Test Accuracy: 0.762
Epoch: 3/5...  Training Loss: 1.337 Test Lost 0.803 Test Accuracy: 0.783
Epoch: 3/5...  Training Loss: 1.181 Test Lost 0.821 Test Accuracy: 0.779
Epoch: 3/5...  Training Loss: 1.447 Test Lost 0.773 Test Accuracy: 0.772
Epoch: 3/5...  Training Loss: 1.263 Test Lost 0.777 Test Accuracy: 0.762
Epoch: 3/5...  Training Loss: 1.269 Test Lost 0.750 Test Accuracy: 0.787
Epoch: 4/5...  Training Loss: 0.183 Test Lost 0.714 Test Accuracy: 0.803
Epoch: 4/5...  Training Loss: 1.164 Test Lost 0.719 Test Accuracy: 0.791
Epoch: 4/5...  Training Loss: 1.268 Test Lost 0.753 Test Accuracy: 0.784
Epoch: 4/5...  Training Loss: 1.159 Test Lost 0.726 Test Accuracy: 0.790
Epoch: 4/5...  Training Loss: 1.187 Test Lost 0.669 Test Accuracy: 0.805
Epoch: 4/5...  Training Loss: 1.174 Test Lost 0.737 Test Accuracy: 0.794
Epoch: 4/5...  Training Loss: 1.275 Test Lost 0.682 Test Accuracy: 0.796
Epoch: 4/5...  Training Loss: 1.300 Test Lost 0.729 Test Accuracy: 0.780
Epoch: 4/5...  Training Loss: 1.157 Test Lost 0.731 Test Accuracy: 0.793
Epoch: 4/5...  Training Loss: 1.099 Test Lost 0.707 Test Accuracy: 0.809
Epoch: 4/5...  Training Loss: 1.025 Test Lost 0.708 Test Accuracy: 0.802
Epoch: 4/5...  Training Loss: 1.088 Test Lost 0.719 Test Accuracy: 0.805
Epoch: 4/5...  Training Loss: 1.329 Test Lost 0.615 Test Accuracy: 0.828
Epoch: 4/5...  Training Loss: 1.143 Test Lost 0.662 Test Accuracy: 0.816
Epoch: 4/5...  Training Loss: 1.219 Test Lost 0.720 Test Accuracy: 0.792
Epoch: 4/5...  Training Loss: 1.161 Test Lost 0.670 Test Accuracy: 0.797
Epoch: 4/5...  Training Loss: 0.980 Test Lost 0.630 Test Accuracy: 0.824
Epoch: 4/5...  Training Loss: 1.146 Test Lost 0.631 Test Accuracy: 0.818
Epoch: 4/5...  Training Loss: 1.188 Test Lost 0.653 Test Accuracy: 0.812
Epoch: 4/5...  Training Loss: 1.329 Test Lost 0.636 Test Accuracy: 0.812
Epoch: 4/5...  Training Loss: 1.065 Test Lost 0.641 Test Accuracy: 0.808
Epoch: 5/5...  Training Loss: 0.673 Test Lost 0.641 Test Accuracy: 0.813
Epoch: 5/5...  Training Loss: 0.927 Test Lost 0.633 Test Accuracy: 0.807
Epoch: 5/5...  Training Loss: 1.036 Test Lost 0.633 Test Accuracy: 0.811
Epoch: 5/5...  Training Loss: 1.022 Test Lost 0.632 Test Accuracy: 0.811
Epoch: 5/5...  Training Loss: 0.831 Test Lost 0.639 Test Accuracy: 0.811
Epoch: 5/5...  Training Loss: 1.046 Test Lost 0.602 Test Accuracy: 0.824
Epoch: 5/5...  Training Loss: 1.125 Test Lost 0.577 Test Accuracy: 0.843
Epoch: 5/5...  Training Loss: 0.998 Test Lost 0.600 Test Accuracy: 0.831
Epoch: 5/5...  Training Loss: 0.944 Test Lost 0.607 Test Accuracy: 0.817
Epoch: 5/5...  Training Loss: 0.804 Test Lost 0.594 Test Accuracy: 0.830
Epoch: 5/5...  Training Loss: 1.102 Test Lost 0.603 Test Accuracy: 0.829
Epoch: 5/5...  Training Loss: 1.058 Test Lost 0.572 Test Accuracy: 0.841
Epoch: 5/5...  Training Loss: 0.926 Test Lost 0.566 Test Accuracy: 0.842
Epoch: 5/5...  Training Loss: 1.127 Test Lost 0.585 Test Accuracy: 0.835
Epoch: 5/5...  Training Loss: 1.191 Test Lost 0.537 Test Accuracy: 0.847
Epoch: 5/5...  Training Loss: 1.083 Test Lost 0.527 Test Accuracy: 0.850
Epoch: 5/5...  Training Loss: 0.999 Test Lost 0.609 Test Accuracy: 0.808
Epoch: 5/5...  Training Loss: 1.067 Test Lost 0.622 Test Accuracy: 0.813
Epoch: 5/5...  Training Loss: 0.918 Test Lost 0.627 Test Accuracy: 0.808
Epoch: 5/5...  Training Loss: 1.232 Test Lost 0.552 Test Accuracy: 0.836
Epoch: 5/5...  Training Loss: 1.041 Test Lost 0.574 Test Accuracy: 0.827
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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"># Do validation on the test set</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">correct</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda:0&#39;</span><span class="p">)</span>

    <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">test_loader</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">data</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="s1">&#39;cuda&#39;</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="s1">&#39;cuda&#39;</span><span class="p">)</span>

        <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
        <span class="n">_</span><span class="p">,</span> <span class="n">predicted</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
        <span class="n">total</span> <span class="o">+=</span> <span class="n">labels</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
        <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">predicted</span> <span class="o">==</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

        <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Accuracy of the network on the test images: </span><span class="si">%d</span><span class="s1"> </span><span class="si">%%</span><span class="s1">&#39;</span> <span class="o">%</span> <span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">))</span>
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<pre>Accuracy of the network on the test images: 84 %
Accuracy of the network on the test images: 81 %
Accuracy of the network on the test images: 76 %
Accuracy of the network on the test images: 74 %
Accuracy of the network on the test images: 74 %
Accuracy of the network on the test images: 74 %
Accuracy of the network on the test images: 75 %
Accuracy of the network on the test images: 74 %
Accuracy of the network on the test images: 75 %
Accuracy of the network on the test images: 75 %
Accuracy of the network on the test images: 76 %
Accuracy of the network on the test images: 76 %
Accuracy of the network on the test images: 76 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 78 %
Accuracy of the network on the test images: 78 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 77 %
Accuracy of the network on the test images: 76 %
Accuracy of the network on the test images: 76 %
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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">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">model</span><span class="o">.</span><span class="n">cpu</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</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;output_size&#39;</span> <span class="p">:</span> <span class="n">output_size</span><span class="p">,</span>
        <span class="s1">&#39;hidden_layers&#39;</span><span class="p">:</span> <span class="n">hidden_layers</span><span class="p">,</span>
        <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span>
        <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span>
    <span class="p">},</span>
    <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">,</span>
<span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">model_setup</span><span class="p">(</span>
        <span class="n">input_size</span><span class="o">=</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">hidden_layers</span><span class="o">=</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_layers&#39;</span><span class="p">],</span>
        <span class="n">output_size</span><span class="o">=</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;output_size&#39;</span><span class="p">]</span>
    <span class="p">)</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    
    <span class="k">return</span> <span class="n">model</span>
    
<span class="n">model</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="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Dropout(p=0.5)
    (1): Linear(in_features=25088, out_features=120, bias=True)
    (2): ReLU()
    (3): Linear(in_features=120, out_features=90, bias=True)
    (4): ReLU()
    (5): Linear(in_features=90, out_features=80, bias=True)
    (6): ReLU()
    (7): Linear(in_features=80, out_features=102, bias=True)
    (8): LogSoftmax()
  )
)
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http:https://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http:https://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">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">convert_to_tensor</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="p">])</span>
    
    <span class="n">tensor_img</span> <span class="o">=</span> <span class="n">convert_to_tensor</span><span class="p">(</span><span class="n">img</span><span class="p">)</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
    <span class="n">np_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">tensor_img</span><span class="p">)</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">np_image</span> <span class="o">=</span> <span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">np_image</span><span class="p">,</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="o">-</span> <span class="n">mean</span><span class="p">)</span><span class="o">/</span><span class="n">std</span>  
    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">np_image</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>

<span class="n">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">test_dir</span> <span class="o">+</span> <span class="s2">&quot;/1/image_06764.jpg&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
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<pre>(3, 224, 224)
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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

<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="n">test_dir</span> <span class="o">+</span> <span class="s2">&quot;/1/image_06764.jpg&quot;</span><span class="p">))</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f269ff7ffd0&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http:https://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="prompt input_prompt">In&nbsp;[13]:</div>
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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">to</span><span class="p">(</span><span class="s1">&#39;cuda:0&#39;</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">Variable</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="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)),</span> <span class="n">requires_grad</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">cuda</span><span class="p">())</span>
        
    <span class="n">predictions</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">output</span><span class="o">.</span><span class="n">data</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">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predictions</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="k">return</span> <span class="n">probs</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">classes</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">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="s2">&quot;flowers/test/1/image_06764.jpg&quot;</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
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<pre>[ 0.32717496  0.21504593  0.12121468  0.11110993  0.0376541 ]
[76 13 99 98 90]
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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="n">img_path</span> <span class="o">=</span> <span class="s2">&quot;flowers/test/1/image_06764.jpg&quot;</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span>

<span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">img_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="n">labels</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">cat_to_name</span><span class="o">.</span><span class="n">values</span><span class="p">())</span>
<span class="n">classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">labels</span><span class="p">[</span><span class="n">x</span><span class="p">]</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">classes</span><span class="p">]</span>

<span class="n">figure</span><span class="p">,</span> <span class="n">axes</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="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">classes</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>

<span class="n">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">classes</span><span class="p">))</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">y_pos</span><span class="p">,</span> <span class="n">probs</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;steelblue&#39;</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</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">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">]</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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