Image Classifier Project (2).html

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<title>Image Classifier Project</title>

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

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

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

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

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

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

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Created by Sridhar Nandigam 3/13/20</span>

<span class="c1"># Imports here</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="k">import</span> <span class="n">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">torchvision</span> <span class="k">import</span> <span class="n">datasets</span><span class="p">,</span> <span class="n">transforms</span><span class="p">,</span> <span class="n">models</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>

<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>

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

<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_dataset</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">test_dataset</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="n">valid_dataset</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span> <span class="o">=</span> <span class="n">test_transforms</span><span class="p">)</span>

<span class="c1"># TODO: 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_dataset</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_dataset</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="mi">32</span><span class="p">,</span> <span class="n">shuffle</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
<span class="n">valid_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_dataset</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://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>
<p>One last important tip if you're using the workspace to run your code: To avoid having your workspace disconnect during the long-running tasks in this notebook, please read in the earlier page in this lesson called Intro to
GPU Workspaces about Keeping Your Session Active. You'll want to include code from the workspace_utils.py module.</p>
<p><strong>Note for Workspace users:</strong> If your network is over 1 GB when saved as a checkpoint, there might be issues with saving backups in your workspace. Typically this happens with wide dense layers after the convolutional layers. If your saved checkpoint is larger than 1 GB (you can open a terminal and check with <code>ls -lh</code>), you should reduce the size of your hidden layers and train again.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Check model input sizes</span>
<span class="c1">#models.resnet50(pretrained = True)</span>

<span class="c1">#Create dictionary for different models</span>
<span class="n">model_dic</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;vgg16&quot;</span><span class="p">:</span> <span class="mi">25088</span><span class="p">,</span>
             <span class="s2">&quot;densenet121&quot;</span><span class="p">:</span><span class="mi">1024</span>
            <span class="p">}</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Build and train your network</span>

<span class="c1">#Creates network</span>
<span class="k">def</span> <span class="nf">initialize_nn</span><span class="p">(</span><span class="n">inputModel</span> <span class="o">=</span> <span class="s2">&quot;vgg16&quot;</span><span class="p">,</span> <span class="n">h1</span> <span class="o">=</span> <span class="mi">6272</span><span class="p">,</span> <span class="n">learningrate</span> <span class="o">=</span> <span class="mf">0.001</span><span class="p">):</span>
    <span class="c1">#parse input</span>
    <span class="k">if</span> <span class="n">inputModel</span> <span class="o">==</span> <span class="s2">&quot;vgg16&quot;</span><span class="p">:</span>
        <span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span>
    <span class="k">elif</span> <span class="n">inputModel</span> <span class="o">==</span> <span class="s2">&quot;densenet121&quot;</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">densenet121</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="c1">#initialize classifier based on given parameters</span>
    <span class="n">inputSize</span> <span class="o">=</span> <span class="n">model_dic</span><span class="p">[</span><span class="n">inputModel</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">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="n">OrderedDict</span><span class="p">([(</span><span class="s1">&#39;fc1&#39;</span><span class="p">,</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">inputSize</span><span class="p">,</span> <span class="n">h1</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;activ1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
                                           <span class="p">(</span><span class="s1">&#39;dropout1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.3</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;h1&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">h1</span><span class="p">,</span> <span class="mi">1568</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;activ2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
                                           <span class="p">(</span><span class="s1">&#39;dropout2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.3</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;h2&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">1568</span><span class="p">,</span> <span class="mi">392</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;activ3&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">()),</span>
                                           <span class="p">(</span><span class="s1">&#39;dropout3&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.3</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;h3&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">392</span><span class="p">,</span> <span class="mi">102</span><span class="p">)),</span>
                                           <span class="p">(</span><span class="s1">&#39;output&#39;</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">LogSoftmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">))]))</span>

    
    <span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
    
    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span> <span class="o">=</span> <span class="n">learningrate</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span>
    
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">train_nn</span><span class="p">(</span><span class="n">model</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">train_loader</span><span class="p">,</span> <span class="n">valid_loader</span><span class="p">,</span> <span class="n">epochs</span> <span class="o">=</span> <span class="mi">6</span><span class="p">,</span> <span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> <span class="n">device</span> <span class="o">=</span> <span class="s1">&#39;gpu&#39;</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="ow">and</span> <span class="n">device</span> <span class="o">==</span> <span class="s1">&#39;gpu&#39;</span><span class="p">:</span>
        <span class="n">device</span> <span class="o">=</span> <span class="s1">&#39;cuda&#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&#39;</span><span class="p">)</span>
    <span class="k">else</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;cpu&#39;</span><span class="p">)</span>
    
    <span class="c1">#Keeps track of running loss and steps</span>
    <span class="n">runningLoss</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="c1">#start training</span>
    <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
        <span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">train_loader</span><span class="p">:</span>
            <span class="c1">#Move to device</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>

            <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">images</span><span class="p">)</span> <span class="c1">#Forward pass</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span> <span class="c1">#Determine loss</span>
            
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span> <span class="c1">#reset gradients to avoid buildup</span>
            
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span> <span class="c1">#calculate gradients</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span> <span class="c1">#update weights and biases</span>
            
            <span class="n">runningLoss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="c1">#calculate running loss</span>
            <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>
            

            <span class="k">if</span> <span class="p">(</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="c1">#Test on validation set</span>
                <span class="n">testLoss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
            
                <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span> <span class="c1">#set to evaluation mode</span>
            
                <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
                    <span class="k">for</span> <span class="n">vimages</span><span class="p">,</span> <span class="n">vlabels</span> <span class="ow">in</span> <span class="n">valid_loader</span><span class="p">:</span>
                        <span class="n">vimages</span><span class="p">,</span> <span class="n">vlabels</span> <span class="o">=</span> <span class="n">vimages</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">vlabels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
                        <span class="n">logps</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">vimages</span><span class="p">)</span>
                        
                        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
                        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                    
                        <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">vlabels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                    
                        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
                    
                        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">logps</span><span class="p">,</span> <span class="n">vlabels</span><span class="p">)</span>
                        <span class="n">testLoss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            
                <span class="c1">#Print results</span>
                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch: </span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">((</span><span class="n">epoch</span><span class="o">+</span><span class="mi">1</span><span class="p">),</span><span class="n">epochs</span><span class="p">),</span>
                      <span class="s2">&quot;Training Loss: </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">runningLoss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                      <span class="s2">&quot;Testing 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">testLoss</span><span class="o">/</span><span class="nb">len</span><span class="p">(</span><span class="n">valid_loader</span><span class="p">)),</span>
                      <span class="s2">&quot;Testing 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">valid_loader</span><span class="p">))</span>
                     <span class="p">)</span>
            
                <span class="n">runningLoss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="c1">#Set back to training mode</span>
                <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
            
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Do validation on the test set</span>

<span class="c1">#Creating model, criterion, and optimizer</span>
<span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span> <span class="o">=</span> <span class="n">initialize_nn</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Training my network and printing validation</span>
<span class="n">train_nn</span><span class="p">(</span><span class="n">model</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">train_loader</span><span class="p">,</span> <span class="n">valid_loader</span><span class="p">)</span>
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<pre>Epoch: 1/6 Training Loss: 4.819 Testing Loss: 4.526 Testing Accuracy: 0.039
Epoch: 1/6 Training Loss: 4.471 Testing Loss: 4.276 Testing Accuracy: 0.069
Epoch: 1/6 Training Loss: 4.215 Testing Loss: 3.903 Testing Accuracy: 0.155
Epoch: 1/6 Training Loss: 3.957 Testing Loss: 3.448 Testing Accuracy: 0.200
Epoch: 1/6 Training Loss: 3.618 Testing Loss: 3.071 Testing Accuracy: 0.280
Epoch: 1/6 Training Loss: 3.495 Testing Loss: 2.734 Testing Accuracy: 0.340
Epoch: 1/6 Training Loss: 3.147 Testing Loss: 2.476 Testing Accuracy: 0.378
Epoch: 1/6 Training Loss: 3.036 Testing Loss: 2.344 Testing Accuracy: 0.397
Epoch: 1/6 Training Loss: 2.882 Testing Loss: 1.986 Testing Accuracy: 0.469
Epoch: 1/6 Training Loss: 2.599 Testing Loss: 1.852 Testing Accuracy: 0.507
Epoch: 2/6 Training Loss: 2.461 Testing Loss: 1.760 Testing Accuracy: 0.509
Epoch: 2/6 Training Loss: 2.324 Testing Loss: 1.684 Testing Accuracy: 0.546
Epoch: 2/6 Training Loss: 2.241 Testing Loss: 1.619 Testing Accuracy: 0.578
Epoch: 2/6 Training Loss: 2.271 Testing Loss: 1.531 Testing Accuracy: 0.579
Epoch: 2/6 Training Loss: 2.081 Testing Loss: 1.430 Testing Accuracy: 0.594
Epoch: 2/6 Training Loss: 1.961 Testing Loss: 1.374 Testing Accuracy: 0.610
Epoch: 2/6 Training Loss: 1.980 Testing Loss: 1.334 Testing Accuracy: 0.632
Epoch: 2/6 Training Loss: 1.820 Testing Loss: 1.341 Testing Accuracy: 0.640
Epoch: 2/6 Training Loss: 1.982 Testing Loss: 1.226 Testing Accuracy: 0.673
Epoch: 2/6 Training Loss: 1.947 Testing Loss: 1.196 Testing Accuracy: 0.685
Epoch: 3/6 Training Loss: 1.745 Testing Loss: 1.371 Testing Accuracy: 0.618
Epoch: 3/6 Training Loss: 1.814 Testing Loss: 1.219 Testing Accuracy: 0.657
Epoch: 3/6 Training Loss: 1.728 Testing Loss: 1.073 Testing Accuracy: 0.705
Epoch: 3/6 Training Loss: 1.585 Testing Loss: 1.107 Testing Accuracy: 0.690
Epoch: 3/6 Training Loss: 1.802 Testing Loss: 1.007 Testing Accuracy: 0.725
Epoch: 3/6 Training Loss: 1.653 Testing Loss: 1.057 Testing Accuracy: 0.735
Epoch: 3/6 Training Loss: 1.654 Testing Loss: 0.898 Testing Accuracy: 0.753
Epoch: 3/6 Training Loss: 1.567 Testing Loss: 0.911 Testing Accuracy: 0.757
Epoch: 3/6 Training Loss: 1.439 Testing Loss: 0.897 Testing Accuracy: 0.752
Epoch: 3/6 Training Loss: 1.500 Testing Loss: 0.908 Testing Accuracy: 0.752
Epoch: 4/6 Training Loss: 1.514 Testing Loss: 0.882 Testing Accuracy: 0.754
Epoch: 4/6 Training Loss: 1.506 Testing Loss: 0.836 Testing Accuracy: 0.766
Epoch: 4/6 Training Loss: 1.601 Testing Loss: 0.879 Testing Accuracy: 0.772
Epoch: 4/6 Training Loss: 1.439 Testing Loss: 0.788 Testing Accuracy: 0.772
Epoch: 4/6 Training Loss: 1.569 Testing Loss: 0.814 Testing Accuracy: 0.759
Epoch: 4/6 Training Loss: 1.364 Testing Loss: 0.817 Testing Accuracy: 0.772
Epoch: 4/6 Training Loss: 1.505 Testing Loss: 0.843 Testing Accuracy: 0.754
Epoch: 4/6 Training Loss: 1.414 Testing Loss: 0.828 Testing Accuracy: 0.773
Epoch: 4/6 Training Loss: 1.345 Testing Loss: 0.757 Testing Accuracy: 0.796
Epoch: 4/6 Training Loss: 1.283 Testing Loss: 0.741 Testing Accuracy: 0.799
Epoch: 4/6 Training Loss: 1.302 Testing Loss: 0.800 Testing Accuracy: 0.785
Epoch: 5/6 Training Loss: 1.296 Testing Loss: 0.704 Testing Accuracy: 0.798
Epoch: 5/6 Training Loss: 1.390 Testing Loss: 0.823 Testing Accuracy: 0.761
Epoch: 5/6 Training Loss: 1.343 Testing Loss: 0.701 Testing Accuracy: 0.810
Epoch: 5/6 Training Loss: 1.330 Testing Loss: 0.761 Testing Accuracy: 0.785
Epoch: 5/6 Training Loss: 1.442 Testing Loss: 0.673 Testing Accuracy: 0.819
Epoch: 5/6 Training Loss: 1.284 Testing Loss: 0.726 Testing Accuracy: 0.786
Epoch: 5/6 Training Loss: 1.281 Testing Loss: 0.701 Testing Accuracy: 0.804
Epoch: 5/6 Training Loss: 1.266 Testing Loss: 0.671 Testing Accuracy: 0.814
Epoch: 5/6 Training Loss: 1.241 Testing Loss: 0.633 Testing Accuracy: 0.822
Epoch: 5/6 Training Loss: 1.229 Testing Loss: 0.672 Testing Accuracy: 0.815
Epoch: 6/6 Training Loss: 1.214 Testing Loss: 0.675 Testing Accuracy: 0.815
Epoch: 6/6 Training Loss: 1.210 Testing Loss: 0.626 Testing Accuracy: 0.831
Epoch: 6/6 Training Loss: 1.089 Testing Loss: 0.702 Testing Accuracy: 0.815
Epoch: 6/6 Training Loss: 1.192 Testing Loss: 0.656 Testing Accuracy: 0.817
Epoch: 6/6 Training Loss: 1.100 Testing Loss: 0.650 Testing Accuracy: 0.815
Epoch: 6/6 Training Loss: 1.173 Testing Loss: 0.710 Testing Accuracy: 0.806
Epoch: 6/6 Training Loss: 1.252 Testing Loss: 0.603 Testing Accuracy: 0.830
Epoch: 6/6 Training Loss: 1.257 Testing Loss: 0.667 Testing Accuracy: 0.805
Epoch: 6/6 Training Loss: 1.302 Testing Loss: 0.587 Testing Accuracy: 0.856
Epoch: 6/6 Training Loss: 1.086 Testing Loss: 0.558 Testing Accuracy: 0.845
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#Testing network on testing dataset</span>
<span class="n">model</span><span class="o">.</span><span class="n">eval</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&#39;</span><span class="p">)</span>
<span class="n">runningLoss</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">accuracy</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">print_every</span> <span class="o">=</span> <span class="mi">10</span>
<span class="k">for</span> <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="n">test_loader</span><span class="p">:</span>
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">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">ps</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">top_p</span><span class="p">,</span> <span class="n">top_class</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
                    
        <span class="n">equals</span> <span class="o">=</span> <span class="n">top_class</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">*</span><span class="n">top_class</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
                    
        <span class="n">accuracy</span> <span class="o">+=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">equals</span><span class="o">.</span><span class="n">type</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">FloatTensor</span><span class="p">))</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
        
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Testing 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">test_loader</span><span class="p">)))</span>
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<pre>Testing Accuracy: 0.809
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Save the checkpoint </span>
<span class="k">def</span> <span class="nf">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">inputModel</span> <span class="o">=</span> <span class="s2">&quot;vgg16&quot;</span><span class="p">,</span> <span class="n">h1</span> <span class="o">=</span> <span class="mi">6272</span><span class="p">,</span> <span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.001</span><span class="p">):</span>
    <span class="c1">#create checkpoint</span>
    <span class="c1">#needed help from the tutorial for loading in hidden_layers</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_dataset</span><span class="o">.</span><span class="n">class_to_idx</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;input_model&#39;</span><span class="p">:</span> <span class="n">inputModel</span><span class="p">,</span>
                  <span class="s1">&#39;input_size&#39;</span><span class="p">:</span> <span class="n">model_dic</span><span class="p">[</span><span class="n">inputModel</span><span class="p">],</span>
                  <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="mi">102</span><span class="p">,</span>
                  <span class="s1">&#39;hidden_layer1&#39;</span><span class="p">:</span> <span class="n">h1</span><span class="p">,</span>
                  <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="n">learning_rate</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="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
    
<span class="n">save_checkpoint</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Write a function that loads a checkpoint and rebuilds the model</span>
<span class="k">def</span> <span class="nf">load_checkpoint</span><span class="p">(</span><span class="n">filepath</span> <span class="o">=</span> <span class="s1">&#39;checkpoint.pth&#39;</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="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
    
    <span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span> <span class="o">=</span> <span class="n">initialize_nn</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;input_model&#39;</span><span class="p">],</span> 
                                                <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_layer1&#39;</span><span class="p">],</span> 
                                                <span class="n">checkpoint</span><span class="p">[</span><span class="s2">&quot;learning_rate&quot;</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="s2">&quot;state_dict&quot;</span><span class="p">])</span>
    
    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">saved_model</span> <span class="o">=</span> <span class="n">load_checkpoint</span><span class="p">()</span>
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">imageFile</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    
    <span class="c1"># TODO: Process a PIL image for use in a PyTorch model</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">imageFile</span><span class="p">)</span>
    
    <span class="c1">#regular transforms SHOULD work...right? Because I can&#39;t figure out PIL</span>
    
    <span class="n">transformer</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">255</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                     <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
    <span class="n">final_image</span> <span class="o">=</span> <span class="n">transformer</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="c1">#returns pytorch tensor</span>
    <span class="k">return</span> <span class="n">final_image</span>
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Imshow for Tensor.&quot;&quot;&quot;</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    
    <span class="nb">print</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">image</span><span class="p">))</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1">#testing process image function</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">process_image</span><span class="p">(</span><span class="s2">&quot;flowers/test/1/image_06743.jpg&quot;</span><span class="p">))</span>
<span class="c1">#FINALLY it works!!!</span>
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<pre>&lt;class &#39;torch.Tensor&#39;&gt;
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f88de4082e8&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="k">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">input_model</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">device</span> <span class="o">=</span> <span class="s1">&#39;gpu&#39;</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">inputImage</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
    
    <span class="c1">#credit to stack overflow for these two lines of code. I couldn&#39;t figure out why the input tensor wasn&#39;t working</span>
    <span class="n">inputImage</span> <span class="o">=</span> <span class="n">inputImage</span><span class="o">.</span><span class="n">unsqueeze_</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    <span class="n">inputImage</span> <span class="o">=</span> <span class="n">inputImage</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
    
    <span class="c1">#convert to cuda if necessary</span>
    <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="ow">and</span> <span class="n">device</span> <span class="o">==</span> <span class="s1">&#39;gpu&#39;</span><span class="p">:</span>
        <span class="n">device</span> <span class="o">=</span> <span class="s1">&#39;cuda&#39;</span>
        <span class="n">input_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="n">inputImage</span> <span class="o">=</span> <span class="n">inputImage</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">else</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;cpu&#39;</span><span class="p">)</span>
    
    <span class="n">input_model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
    
    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="n">logps</span> <span class="o">=</span> <span class="n">input_model</span><span class="p">(</span><span class="n">inputImage</span><span class="p">)</span>
        <span class="n">ps</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">logps</span><span class="p">)</span>
        
        <span class="n">top_p</span><span class="p">,</span> <span class="n">top_classes</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
        
    <span class="k">return</span> <span class="n">top_p</span><span class="p">,</span> <span class="n">top_classes</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">probabilities</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_06743.jpg&quot;</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>

<span class="n">probabilities</span><span class="p">,</span> <span class="n">classes</span>
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<pre>(tensor([[ 0.5171,  0.3448,  0.0437,  0.0342,  0.0170]], device=&#39;cuda:0&#39;),
 tensor([[ 13,   0,  49,  53,  50]], device=&#39;cuda:0&#39;))</pre>
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="k">def</span> <span class="nf">check_sanity</span><span class="p">():</span>
    
    <span class="c1">#test path</span>
    <span class="n">index</span> <span class="o">=</span> <span class="n">classes</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="s2">&quot;flowers/test/1/image_06743.jpg&quot;</span><span class="p">)</span>
    
    <span class="n">ax</span> <span class="o">=</span> <span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="p">)</span>
    
    <span class="n">category</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">index</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">cat_to_name</span><span class="p">[</span><span class="n">category</span><span class="p">])</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s2">&quot;off&quot;</span><span class="p">)</span>
    
    <span class="c1">#Create bargraph</span>
    <span class="n">fig</span><span class="p">,</span> <span class="n">temp_ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="n">xValues</span> <span class="o">=</span> <span class="p">[</span><span class="n">cat_to_name</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">index</span><span class="p">)</span><span class="o">+</span><span class="mi">1</span><span class="p">)]</span> <span class="k">for</span> <span class="n">index</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">array</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">yValues</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">probabilities</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
    <span class="n">temp_ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">xValues</span><span class="p">,</span> <span class="n">yValues</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">check_sanity</span><span class="p">()</span>
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<pre>&lt;class &#39;torch.Tensor&#39;&gt;
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