DCGAN_Exercise.html

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<title>DCGAN_Solution</title>

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

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

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

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

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

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

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<h1 id="Deep-Convolutional-GANs">Deep Convolutional GANs<a class="anchor-link" href="#Deep-Convolutional-GANs">&#182;</a></h1><p>In this notebook, you'll build a GAN using convolutional layers in the generator and discriminator. This is called a Deep Convolutional GAN, or DCGAN for short. The DCGAN architecture was first explored in 2016 and has seen impressive results in generating new images; you can read the <a href="https://arxiv.org/pdf/1511.06434.pdf">original paper, here</a>.</p>
<p>You'll be training DCGAN on the <a href="http://ufldl.stanford.edu/housenumbers/">Street View House Numbers</a> (SVHN) dataset. These are color images of house numbers collected from Google street view. SVHN images are in color and much more variable than MNIST.</p>
<p><img src='assets/svhn_dcgan.png' width=80% /></p>
<p>So, our goal is to create a DCGAN that can generate new, realistic-looking images of house numbers. We'll go through the following steps to do this:</p>
<ul>
<li>Load in and pre-process the house numbers dataset</li>
<li>Define discriminator and generator networks</li>
<li>Train these adversarial networks</li>
<li>Visualize the loss over time and some sample, generated images</li>
</ul>
<h4 id="Deeper-Convolutional-Networks">Deeper Convolutional Networks<a class="anchor-link" href="#Deeper-Convolutional-Networks">&#182;</a></h4><p>Since this dataset is more complex than our MNIST data, we'll need a deeper network to accurately identify patterns in these images and be able to generate new ones. Specifically, we'll use a series of convolutional or transpose convolutional layers in the discriminator and generator. It's also necessary to use batch normalization to get these convolutional networks to train.</p>
<p>Besides these changes in network structure, training the discriminator and generator networks should be the same as before. That is, the discriminator will alternate training on real and fake (generated) images, and the generator will aim to trick the discriminator into thinking that its generated images are real!</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># import libraries</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">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pickle</span> <span class="k">as</span> <span class="nn">pkl</span>

<span class="o">%</span><span class="k">matplotlib</span> inline
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<h2 id="Getting-the-data">Getting the data<a class="anchor-link" href="#Getting-the-data">&#182;</a></h2><p>Here you can download the SVHN dataset. It's a dataset built-in to the PyTorch datasets library. We can load in training data, transform it into Tensor datatypes, then create dataloaders to batch our data into a desired size.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">datasets</span>
<span class="kn">from</span> <span class="nn">torchvision</span> <span class="k">import</span> <span class="n">transforms</span>

<span class="c1"># Tensor transform</span>
<span class="n">transform</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">()</span>

<span class="c1"># SVHN training datasets</span>
<span class="n">svhn_train</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">SVHN</span><span class="p">(</span><span class="n">root</span><span class="o">=</span><span class="s1">&#39;data/&#39;</span><span class="p">,</span> <span class="n">split</span><span class="o">=</span><span class="s1">&#39;train&#39;</span><span class="p">,</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">transform</span><span class="p">)</span>

<span class="n">batch_size</span> <span class="o">=</span> <span class="mi">128</span>
<span class="n">num_workers</span> <span class="o">=</span> <span class="mi">0</span>

<span class="c1"># build DataLoaders for SVHN dataset</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">dataset</span><span class="o">=</span><span class="n">svhn_train</span><span class="p">,</span>
                                          <span class="n">batch_size</span><span class="o">=</span><span class="n">batch_size</span><span class="p">,</span>
                                          <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
                                          <span class="n">num_workers</span><span class="o">=</span><span class="n">num_workers</span><span class="p">)</span>
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<pre>Using downloaded and verified file: data/train_32x32.mat
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<h3 id="Visualize-the-Data">Visualize the Data<a class="anchor-link" href="#Visualize-the-Data">&#182;</a></h3><p>Here I'm showing a small sample of the images. Each of these is 32x32 with 3 color channels (RGB). These are the real, training images that we'll pass to the discriminator. Notice that each image has <em>one</em> associated, numerical label.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># obtain one batch of training images</span>
<span class="n">dataiter</span> <span class="o">=</span> <span class="nb">iter</span><span class="p">(</span><span class="n">train_loader</span><span class="p">)</span>
<span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">dataiter</span><span class="o">.</span><span class="n">next</span><span class="p">()</span>

<span class="c1"># plot the images in the batch, along with the corresponding labels</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">25</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
<span class="n">plot_size</span><span class="o">=</span><span class="mi">20</span>
<span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">plot_size</span><span class="p">):</span>
    <span class="n">ax</span> <span class="o">=</span> <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="n">plot_size</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="n">idx</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">xticks</span><span class="o">=</span><span class="p">[],</span> <span class="n">yticks</span><span class="o">=</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">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">images</span><span class="p">[</span><span class="n">idx</span><span class="p">],</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">)))</span>
    <span class="c1"># print out the correct label for each image</span>
    <span class="c1"># .item() gets the value contained in a Tensor</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">labels</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="o">.</span><span class="n">item</span><span class="p">()))</span>
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<h3 id="Pre-processing:-scaling-from--1-to-1">Pre-processing: scaling from -1 to 1<a class="anchor-link" href="#Pre-processing:-scaling-from--1-to-1">&#182;</a></h3><p>We need to do a bit of pre-processing; we know that the output of our <code>tanh</code> activated generator will contain pixel values in a range from -1 to 1, and so, we need to rescale our training images to a range of -1 to 1. (Right now, they are in a range from 0-1.)</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># current range</span>
<span class="n">img</span> <span class="o">=</span> <span class="n">images</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Min: &#39;</span><span class="p">,</span> <span class="n">img</span><span class="o">.</span><span class="n">min</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Max: &#39;</span><span class="p">,</span> <span class="n">img</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
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<pre>Min:  tensor(0.1373)
Max:  tensor(0.4667)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># helper scale function</span>
<span class="k">def</span> <span class="nf">scale</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">feature_range</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)):</span>
    <span class="sd">&#39;&#39;&#39; Scale takes in an image x and returns that image, scaled</span>
<span class="sd">       with a feature_range of pixel values from -1 to 1. </span>
<span class="sd">       This function assumes that the input x is already scaled from 0-1.&#39;&#39;&#39;</span>
    <span class="c1"># assume x is scaled to (0, 1)</span>
    <span class="c1"># scale to feature_range and return scaled x</span>
    <span class="nb">min</span><span class="p">,</span> <span class="nb">max</span> <span class="o">=</span> <span class="n">feature_range</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">x</span> <span class="o">*</span> <span class="p">(</span><span class="nb">max</span> <span class="o">-</span> <span class="nb">min</span><span class="p">)</span> <span class="o">+</span> <span class="nb">min</span>
    <span class="k">return</span> <span class="n">x</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># scaled range</span>
<span class="n">scaled_img</span> <span class="o">=</span> <span class="n">scale</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Scaled min: &#39;</span><span class="p">,</span> <span class="n">scaled_img</span><span class="o">.</span><span class="n">min</span><span class="p">())</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Scaled max: &#39;</span><span class="p">,</span> <span class="n">scaled_img</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
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<pre>Scaled min:  tensor(-0.7255)
Scaled max:  tensor(1.00000e-02 *
       -6.6667)
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<h1 id="Define-the-Model">Define the Model<a class="anchor-link" href="#Define-the-Model">&#182;</a></h1><p>A GAN is comprised of two adversarial networks, a discriminator and a generator.</p>

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<h2 id="Discriminator">Discriminator<a class="anchor-link" href="#Discriminator">&#182;</a></h2><p>Here you'll build the discriminator. This is a convolutional classifier like you've built before, only without any maxpooling layers.</p>
<ul>
<li>The inputs to the discriminator are 32x32x3 tensor images</li>
<li>You'll want a few convolutional, hidden layers</li>
<li>Then a fully connected layer for the output; as before, we want a sigmoid output, but we'll add that in the loss function, <a href="https://pytorch.org/docs/stable/nn.html#bcewithlogitsloss">BCEWithLogitsLoss</a>, later</li>
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<p><img src='assets/conv_discriminator.png' width=80%/></p>
<p>For the depths of the convolutional layers I suggest starting with 32 filters in the first layer, then double that depth as you add layers (to 64, 128, etc.). Note that in the DCGAN paper, they did all the downsampling using only strided convolutional layers with no maxpooling layers.</p>
<p>You'll also want to use batch normalization with <a href="https://pytorch.org/docs/stable/nn.html#batchnorm2d">nn.BatchNorm2d</a> on each layer <strong>except</strong> the first convolutional layer and final, linear output layer.</p>
<h4 id="Helper-conv-function">Helper <code>conv</code> function<a class="anchor-link" href="#Helper-conv-function">&#182;</a></h4><p>In general, each layer should look something like convolution &gt; batch norm &gt; leaky ReLU, and so we'll define a function to put these layers together. This function will create a sequential series of a convolutional + an optional batch norm layer. We'll create these using PyTorch's <a href="https://pytorch.org/docs/stable/nn.html#sequential">Sequential container</a>, which takes in a list of layers and creates layers according to the order that they are passed in to the Sequential constructor.</p>
<p>Note: It is also suggested that you use a <strong>kernel_size of 4</strong> and a <strong>stride of 2</strong> for strided convolutions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="kn">import</span> <span class="nn">torch.nn.functional</span> <span class="k">as</span> <span class="nn">F</span>

<span class="c1"># helper conv function</span>
<span class="k">def</span> <span class="nf">conv</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">batch_norm</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Creates a convolutional layer, with optional batch normalization.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">layers</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="n">conv_layer</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> 
                           <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
    
    <span class="c1"># append conv layer</span>
    <span class="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">conv_layer</span><span class="p">)</span>

    <span class="k">if</span> <span class="n">batch_norm</span><span class="p">:</span>
        <span class="c1"># append batchnorm layer</span>
        <span class="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm2d</span><span class="p">(</span><span class="n">out_channels</span><span class="p">))</span>
     
    <span class="c1"># using Sequential container</span>
    <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="o">*</span><span class="n">layers</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">Discriminator</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>

    <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">=</span><span class="mi">32</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">(</span><span class="n">Discriminator</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>

        <span class="c1"># complete init function</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span> <span class="o">=</span> <span class="n">conv_dim</span>

        <span class="c1"># 32x32 input</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv1</span> <span class="o">=</span> <span class="n">conv</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="n">conv_dim</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="n">batch_norm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="c1"># first layer, no batch_norm</span>
        <span class="c1"># 16x16 out</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">conv</span><span class="p">(</span><span class="n">conv_dim</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="c1"># 8x8 out</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv3</span> <span class="o">=</span> <span class="n">conv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="c1"># 4x4 out</span>
        
        <span class="c1"># final, fully-connected layer</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">fc</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>

    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="c1"># all hidden layers + leaky relu activation</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">out</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv3</span><span class="p">(</span><span class="n">out</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        
        <span class="c1"># flatten</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="p">)</span>
        
        <span class="c1"># final output layer</span>
        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fc</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>        
        <span class="k">return</span> <span class="n">out</span>
    
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<h2 id="Generator">Generator<a class="anchor-link" href="#Generator">&#182;</a></h2><p>Next, you'll build the generator network. The input will be our noise vector <code>z</code>, as before. And, the output will be a $tanh$ output, but this time with size 32x32 which is the size of our SVHN images.</p>
<p><img src='assets/conv_generator.png' width=80% /></p>
<p>What's new here is we'll use transpose convolutional layers to create our new images.</p>
<ul>
<li>The first layer is a fully connected layer which is reshaped into a deep and narrow layer, something like 4x4x512. </li>
<li>Then, we use batch normalization and a leaky ReLU activation. </li>
<li>Next is a series of <a href="https://pytorch.org/docs/stable/nn.html#convtranspose2d">transpose convolutional layers</a>, where you typically halve the depth and double the width and height of the previous layer. </li>
<li>And, we'll apply batch normalization and ReLU to all but the last of these hidden layers. Where we will just apply a <code>tanh</code> activation.</li>
</ul>
<h4 id="Helper-deconv-function">Helper <code>deconv</code> function<a class="anchor-link" href="#Helper-deconv-function">&#182;</a></h4><p>For each of these layers, the general scheme is transpose convolution &gt; batch norm &gt; ReLU, and so we'll define a function to put these layers together. This function will create a sequential series of a transpose convolutional + an optional batch norm layer. We'll create these using PyTorch's Sequential container, which takes in a list of layers and creates layers according to the order that they are passed in to the Sequential constructor.</p>
<p>Note: It is also suggested that you use a <strong>kernel_size of 4</strong> and a <strong>stride of 2</strong> for transpose convolutions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># helper deconv function</span>
<span class="k">def</span> <span class="nf">deconv</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">padding</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">batch_norm</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Creates a transposed-convolutional layer, with optional batch normalization.</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="c1"># create a sequence of transpose + optional batch norm layers</span>
    <span class="n">layers</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="n">transpose_conv_layer</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ConvTranspose2d</span><span class="p">(</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="p">,</span> 
                                              <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span><span class="p">,</span> <span class="n">padding</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
    <span class="c1"># append transpose convolutional layer</span>
    <span class="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">transpose_conv_layer</span><span class="p">)</span>
    
    <span class="k">if</span> <span class="n">batch_norm</span><span class="p">:</span>
        <span class="c1"># append batchnorm layer</span>
        <span class="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">BatchNorm2d</span><span class="p">(</span><span class="n">out_channels</span><span class="p">))</span>
        
    <span class="k">return</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="o">*</span><span class="n">layers</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">Generator</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
    
    <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">z_size</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">=</span><span class="mi">32</span><span class="p">):</span>
        <span class="nb">super</span><span class="p">(</span><span class="n">Generator</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>

        <span class="c1"># complete init function</span>
        
        <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span> <span class="o">=</span> <span class="n">conv_dim</span>
        
        <span class="c1"># first, fully-connected layer</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">fc</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">z_size</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="o">*</span><span class="mi">4</span><span class="p">)</span>

        <span class="c1"># transpose conv layers</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">t_conv1</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">t_conv2</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="n">conv_dim</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">t_conv3</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="n">batch_norm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
        

    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
        <span class="c1"># fully-connected + reshape </span>
        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fc</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span> <span class="c1"># (batch_size, depth, 4, 4)</span>
        
        <span class="c1"># hidden transpose conv layers + relu</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_conv1</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_conv2</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
        
        <span class="c1"># last layer + tanh activation</span>
        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_conv3</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
        
        <span class="k">return</span> <span class="n">out</span>
    
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<h2 id="Build-complete-network">Build complete network<a class="anchor-link" href="#Build-complete-network">&#182;</a></h2><p>Define your models' hyperparameters and instantiate the discriminator and generator from the classes defined above. Make sure you've passed in the correct input arguments.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># define hyperparams</span>
<span class="n">conv_dim</span> <span class="o">=</span> <span class="mi">32</span>
<span class="n">z_size</span> <span class="o">=</span> <span class="mi">100</span>

<span class="c1"># define discriminator and generator</span>
<span class="n">D</span> <span class="o">=</span> <span class="n">Discriminator</span><span class="p">(</span><span class="n">conv_dim</span><span class="p">)</span>
<span class="n">G</span> <span class="o">=</span> <span class="n">Generator</span><span class="p">(</span><span class="n">z_size</span><span class="o">=</span><span class="n">z_size</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">=</span><span class="n">conv_dim</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="n">D</span><span class="p">)</span>
<span class="nb">print</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">G</span><span class="p">)</span>
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<pre>Discriminator(
  (conv1): Sequential(
    (0): Conv2d(3, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
  )
  (conv2): Sequential(
    (0): Conv2d(32, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (conv3): Sequential(
    (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (fc): Linear(in_features=2048, out_features=1, bias=True)
)

Generator(
  (fc): Linear(in_features=100, out_features=2048, bias=True)
  (t_conv1): Sequential(
    (0): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (t_conv2): Sequential(
    (0): ConvTranspose2d(64, 32, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (t_conv3): Sequential(
    (0): ConvTranspose2d(32, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
  )
)
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<h3 id="Training-on-GPU">Training on GPU<a class="anchor-link" href="#Training-on-GPU">&#182;</a></h3><p>Check if you can train on GPU. If you can, set this as a variable and move your models to GPU.</p>
<blockquote><p>Later, we'll also move any inputs our models and loss functions see (real_images, z, and ground truth labels) to GPU as well.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_on_gpu</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span>

<span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
    <span class="c1"># move models to GPU</span>
    <span class="n">G</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
    <span class="n">D</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;GPU available for training. Models moved to GPU&#39;</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Training on CPU.&#39;</span><span class="p">)</span>
    
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<pre>GPU available for training. Models moved to GPU
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<h2 id="Discriminator-and-Generator-Losses">Discriminator and Generator Losses<a class="anchor-link" href="#Discriminator-and-Generator-Losses">&#182;</a></h2><p>Now we need to calculate the losses. And this will be exactly the same as before.</p>
<h3 id="Discriminator-Losses">Discriminator Losses<a class="anchor-link" href="#Discriminator-Losses">&#182;</a></h3><blockquote><ul>
<li>For the discriminator, the total loss is the sum of the losses for real and fake images, <code>d_loss = d_real_loss + d_fake_loss</code>. </li>
<li>Remember that we want the discriminator to output 1 for real images and 0 for fake images, so we need to set up the losses to reflect that.</li>
</ul>
</blockquote>
<p>The losses will by binary cross entropy loss with logits, which we can get with <a href="https://pytorch.org/docs/stable/nn.html#bcewithlogitsloss">BCEWithLogitsLoss</a>. This combines a <code>sigmoid</code> activation function <strong>and</strong> and binary cross entropy loss in one function.</p>
<p>For the real images, we want <code>D(real_images) = 1</code>. That is, we want the discriminator to classify the the real images with a label = 1, indicating that these are real. The discriminator loss for the fake data is similar. We want <code>D(fake_images) = 0</code>, where the fake images are the <em>generator output</em>, <code>fake_images = G(z)</code>.</p>
<h3 id="Generator-Loss">Generator Loss<a class="anchor-link" href="#Generator-Loss">&#182;</a></h3><p>The generator loss will look similar only with flipped labels. The generator's goal is to get <code>D(fake_images) = 1</code>. In this case, the labels are <strong>flipped</strong> to represent that the generator is trying to fool the discriminator into thinking that the images it generates (fakes) are real!</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">real_loss</span><span class="p">(</span><span class="n">D_out</span><span class="p">,</span> <span class="n">smooth</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
    <span class="n">batch_size</span> <span class="o">=</span> <span class="n">D_out</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    <span class="c1"># label smoothing</span>
    <span class="k">if</span> <span class="n">smooth</span><span class="p">:</span>
        <span class="c1"># smooth, real labels = 0.9</span>
        <span class="n">labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)</span><span class="o">*</span><span class="mf">0.9</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="n">labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)</span> <span class="c1"># real labels = 1</span>
    <span class="c1"># move labels to GPU if available     </span>
    <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
        <span class="n">labels</span> <span class="o">=</span> <span class="n">labels</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
    <span class="c1"># binary cross entropy with logits loss</span>
    <span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">BCEWithLogitsLoss</span><span class="p">()</span>
    <span class="c1"># calculate loss</span>
    <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">D_out</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">labels</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">loss</span>

<span class="k">def</span> <span class="nf">fake_loss</span><span class="p">(</span><span class="n">D_out</span><span class="p">):</span>
    <span class="n">batch_size</span> <span class="o">=</span> <span class="n">D_out</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
    <span class="n">labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">batch_size</span><span class="p">)</span> <span class="c1"># fake labels = 0</span>
    <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
        <span class="n">labels</span> <span class="o">=</span> <span class="n">labels</span><span class="o">.</span><span class="n">cuda</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">BCEWithLogitsLoss</span><span class="p">()</span>
    <span class="c1"># calculate loss</span>
    <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">D_out</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">labels</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">loss</span>
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<h2 id="Optimizers">Optimizers<a class="anchor-link" href="#Optimizers">&#182;</a></h2><p>Not much new here, but notice how I am using a small learning rate and custom parameters for the Adam optimizers, This is based on some research into DCGAN model convergence.</p>
<h3 id="Hyperparameters">Hyperparameters<a class="anchor-link" href="#Hyperparameters">&#182;</a></h3><p>GANs are very sensitive to hyperparameters. A lot of experimentation goes into finding the best hyperparameters such that the generator and discriminator don't overpower each other. Try out your own hyperparameters or read <a href="https://arxiv.org/pdf/1511.06434.pdf">the DCGAN paper</a> to see what worked for them.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">torch.optim</span> <span class="k">as</span> <span class="nn">optim</span>

<span class="c1"># params</span>
<span class="n">lr</span> <span class="o">=</span> <span class="mf">0.0002</span>
<span class="n">beta1</span><span class="o">=</span><span class="mf">0.5</span>
<span class="n">beta2</span><span class="o">=</span><span class="mf">0.999</span> <span class="c1"># default value</span>

<span class="c1"># Create optimizers for the discriminator and generator</span>
<span class="n">d_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">D</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="p">,</span> <span class="p">[</span><span class="n">beta1</span><span class="p">,</span> <span class="n">beta2</span><span class="p">])</span>
<span class="n">g_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">G</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="p">,</span> <span class="p">[</span><span class="n">beta1</span><span class="p">,</span> <span class="n">beta2</span><span class="p">])</span>
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<h2 id="Training">Training<a class="anchor-link" href="#Training">&#182;</a></h2><p>Training will involve alternating between training the discriminator and the generator. We'll use our functions <code>real_loss</code> and <code>fake_loss</code> to help us calculate the discriminator losses in all of the following cases.</p>
<h3 id="Discriminator-training">Discriminator training<a class="anchor-link" href="#Discriminator-training">&#182;</a></h3><ol>
<li>Compute the discriminator loss on real, training images        </li>
<li>Generate fake images</li>
<li>Compute the discriminator loss on fake, generated images     </li>
<li>Add up real and fake loss</li>
<li>Perform backpropagation + an optimization step to update the discriminator's weights</li>
</ol>
<h3 id="Generator-training">Generator training<a class="anchor-link" href="#Generator-training">&#182;</a></h3><ol>
<li>Generate fake images</li>
<li>Compute the discriminator loss on fake images, using <strong>flipped</strong> labels!</li>
<li>Perform backpropagation + an optimization step to update the generator's weights</li>
</ol>
<h4 id="Saving-Samples">Saving Samples<a class="anchor-link" href="#Saving-Samples">&#182;</a></h4><p>As we train, we'll also print out some loss statistics and save some generated "fake" samples.</p>
<p><strong>Evaluation mode</strong></p>
<p>Notice that, when we call our generator to create the samples to display, we set our model to evaluation mode: <code>G.eval()</code>. That's so the batch normalization layers will use the population statistics rather than the batch statistics (as they do during training), <em>and</em> so dropout layers will operate in eval() mode; not turning off any nodes for generating samples.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pickle</span> <span class="k">as</span> <span class="nn">pkl</span>

<span class="c1"># training hyperparams</span>
<span class="n">num_epochs</span> <span class="o">=</span> <span class="mi">50</span>

<span class="c1"># keep track of loss and generated, &quot;fake&quot; samples</span>
<span class="n">samples</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">losses</span> <span class="o">=</span> <span class="p">[]</span>

<span class="n">print_every</span> <span class="o">=</span> <span class="mi">300</span>

<span class="c1"># Get some fixed data for sampling. These are images that are held</span>
<span class="c1"># constant throughout training, and allow us to inspect the model&#39;s performance</span>
<span class="n">sample_size</span><span class="o">=</span><span class="mi">16</span>
<span class="n">fixed_z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="n">sample_size</span><span class="p">,</span> <span class="n">z_size</span><span class="p">))</span>
<span class="n">fixed_z</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">fixed_z</span><span class="p">)</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>

<span class="c1"># train the network</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">num_epochs</span><span class="p">):</span>
    
    <span class="k">for</span> <span class="n">batch_i</span><span class="p">,</span> <span class="p">(</span><span class="n">real_images</span><span class="p">,</span> <span class="n">_</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">train_loader</span><span class="p">):</span>
                
        <span class="n">batch_size</span> <span class="o">=</span> <span class="n">real_images</span><span class="o">.</span><span class="n">size</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
        
        <span class="c1"># important rescaling step</span>
        <span class="n">real_images</span> <span class="o">=</span> <span class="n">scale</span><span class="p">(</span><span class="n">real_images</span><span class="p">)</span>
        
        <span class="c1"># ============================================</span>
        <span class="c1">#            TRAIN THE DISCRIMINATOR</span>
        <span class="c1"># ============================================</span>
        
        <span class="n">d_optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        
        <span class="c1"># 1. Train with real images</span>

        <span class="c1"># Compute the discriminator losses on real images </span>
        <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
            <span class="n">real_images</span> <span class="o">=</span> <span class="n">real_images</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
        
        <span class="n">D_real</span> <span class="o">=</span> <span class="n">D</span><span class="p">(</span><span class="n">real_images</span><span class="p">)</span>
        <span class="n">d_real_loss</span> <span class="o">=</span> <span class="n">real_loss</span><span class="p">(</span><span class="n">D_real</span><span class="p">)</span>
        
        <span class="c1"># 2. Train with fake images</span>
        
        <span class="c1"># Generate fake images</span>
        <span class="n">z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">z_size</span><span class="p">))</span>
        <span class="n">z</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">z</span><span class="p">)</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
        <span class="c1"># move x to GPU, if available</span>
        <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
            <span class="n">z</span> <span class="o">=</span> <span class="n">z</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
        <span class="n">fake_images</span> <span class="o">=</span> <span class="n">G</span><span class="p">(</span><span class="n">z</span><span class="p">)</span>
        
        <span class="c1"># Compute the discriminator losses on fake images            </span>
        <span class="n">D_fake</span> <span class="o">=</span> <span class="n">D</span><span class="p">(</span><span class="n">fake_images</span><span class="p">)</span>
        <span class="n">d_fake_loss</span> <span class="o">=</span> <span class="n">fake_loss</span><span class="p">(</span><span class="n">D_fake</span><span class="p">)</span>
        
        <span class="c1"># add up loss and perform backprop</span>
        <span class="n">d_loss</span> <span class="o">=</span> <span class="n">d_real_loss</span> <span class="o">+</span> <span class="n">d_fake_loss</span>
        <span class="n">d_loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">d_optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
        
        
        <span class="c1"># =========================================</span>
        <span class="c1">#            TRAIN THE GENERATOR</span>
        <span class="c1"># =========================================</span>
        <span class="n">g_optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
        
        <span class="c1"># 1. Train with fake images and flipped labels</span>
        
        <span class="c1"># Generate fake images</span>
        <span class="n">z</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">z_size</span><span class="p">))</span>
        <span class="n">z</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">from_numpy</span><span class="p">(</span><span class="n">z</span><span class="p">)</span><span class="o">.</span><span class="n">float</span><span class="p">()</span>
        <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
            <span class="n">z</span> <span class="o">=</span> <span class="n">z</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
        <span class="n">fake_images</span> <span class="o">=</span> <span class="n">G</span><span class="p">(</span><span class="n">z</span><span class="p">)</span>
        
        <span class="c1"># Compute the discriminator losses on fake images </span>
        <span class="c1"># using flipped labels!</span>
        <span class="n">D_fake</span> <span class="o">=</span> <span class="n">D</span><span class="p">(</span><span class="n">fake_images</span><span class="p">)</span>
        <span class="n">g_loss</span> <span class="o">=</span> <span class="n">real_loss</span><span class="p">(</span><span class="n">D_fake</span><span class="p">)</span> <span class="c1"># use real loss to flip labels</span>
        
        <span class="c1"># perform backprop</span>
        <span class="n">g_loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
        <span class="n">g_optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

        <span class="c1"># Print some loss stats</span>
        <span class="k">if</span> <span class="n">batch_i</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"># append discriminator loss and generator loss</span>
            <span class="n">losses</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">d_loss</span><span class="o">.</span><span class="n">item</span><span class="p">(),</span> <span class="n">g_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()))</span>
            <span class="c1"># print discriminator and generator loss</span>
            <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Epoch [</span><span class="si">{:5d}</span><span class="s1">/</span><span class="si">{:5d}</span><span class="s1">] | d_loss: </span><span class="si">{:6.4f}</span><span class="s1"> | g_loss: </span><span class="si">{:6.4f}</span><span class="s1">&#39;</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">num_epochs</span><span class="p">,</span> <span class="n">d_loss</span><span class="o">.</span><span class="n">item</span><span class="p">(),</span> <span class="n">g_loss</span><span class="o">.</span><span class="n">item</span><span class="p">()))</span>

    
    <span class="c1">## AFTER EACH EPOCH##    </span>
    <span class="c1"># generate and save sample, fake images</span>
    <span class="n">G</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span> <span class="c1"># for generating samples</span>
    <span class="k">if</span> <span class="n">train_on_gpu</span><span class="p">:</span>
        <span class="n">fixed_z</span> <span class="o">=</span> <span class="n">fixed_z</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</span>
    <span class="n">samples_z</span> <span class="o">=</span> <span class="n">G</span><span class="p">(</span><span class="n">fixed_z</span><span class="p">)</span>
    <span class="n">samples</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">samples_z</span><span class="p">)</span>
    <span class="n">G</span><span class="o">.</span><span class="n">train</span><span class="p">()</span> <span class="c1"># back to training mode</span>


<span class="c1"># Save training generator samples</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;train_samples.pkl&#39;</span><span class="p">,</span> <span class="s1">&#39;wb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">pkl</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">samples</span><span class="p">,</span> <span class="n">f</span><span class="p">)</span>
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<pre>Epoch [    1/   50] | d_loss: 1.3935 | g_loss: 0.8249
Epoch [    1/   50] | d_loss: 0.7818 | g_loss: 1.3732
Epoch [    2/   50] | d_loss: 1.0327 | g_loss: 1.4440
Epoch [    2/   50] | d_loss: 0.9783 | g_loss: 1.5030
Epoch [    3/   50] | d_loss: 1.0160 | g_loss: 1.7415
Epoch [    3/   50] | d_loss: 0.8856 | g_loss: 1.3427
Epoch [    4/   50] | d_loss: 0.7746 | g_loss: 1.3718
Epoch [    4/   50] | d_loss: 0.8536 | g_loss: 0.8080
Epoch [    5/   50] | d_loss: 0.7277 | g_loss: 2.1720
Epoch [    5/   50] | d_loss: 0.5547 | g_loss: 1.7168
Epoch [    6/   50] | d_loss: 0.9148 | g_loss: 2.8325
Epoch [    6/   50] | d_loss: 0.5664 | g_loss: 1.5528
Epoch [    7/   50] | d_loss: 0.6659 | g_loss: 2.4532
Epoch [    7/   50] | d_loss: 0.9422 | g_loss: 3.2270
Epoch [    8/   50] | d_loss: 0.4952 | g_loss: 2.0053
Epoch [    8/   50] | d_loss: 0.5597 | g_loss: 1.4622
Epoch [    9/   50] | d_loss: 0.5895 | g_loss: 2.1771
Epoch [    9/   50] | d_loss: 0.6245 | g_loss: 1.6191
Epoch [   10/   50] | d_loss: 0.5145 | g_loss: 1.5255
Epoch [   10/   50] | d_loss: 0.4667 | g_loss: 1.8465
Epoch [   11/   50] | d_loss: 0.3479 | g_loss: 1.9193
Epoch [   11/   50] | d_loss: 1.1397 | g_loss: 0.2649
Epoch [   12/   50] | d_loss: 0.3774 | g_loss: 2.2839
Epoch [   12/   50] | d_loss: 0.4640 | g_loss: 1.8130
Epoch [   13/   50] | d_loss: 0.4846 | g_loss: 1.7392
Epoch [   13/   50] | d_loss: 0.6375 | g_loss: 1.6995
Epoch [   14/   50] | d_loss: 1.3672 | g_loss: 5.2054
Epoch [   14/   50] | d_loss: 0.3554 | g_loss: 1.2312
Epoch [   15/   50] | d_loss: 0.6486 | g_loss: 2.4009
Epoch [   15/   50] | d_loss: 0.3531 | g_loss: 1.8510
Epoch [   16/   50] | d_loss: 0.8546 | g_loss: 3.9200
Epoch [   16/   50] | d_loss: 0.4971 | g_loss: 0.7529
Epoch [   17/   50] | d_loss: 1.6394 | g_loss: 4.9124
Epoch [   17/   50] | d_loss: 0.3511 | g_loss: 2.2814
Epoch [   18/   50] | d_loss: 0.4526 | g_loss: 1.6723
Epoch [   18/   50] | d_loss: 0.3922 | g_loss: 2.2797
Epoch [   19/   50] | d_loss: 0.2413 | g_loss: 2.9118
Epoch [   19/   50] | d_loss: 0.7738 | g_loss: 0.9896
Epoch [   20/   50] | d_loss: 0.6340 | g_loss: 2.9578
Epoch [   20/   50] | d_loss: 0.5253 | g_loss: 1.1227
Epoch [   21/   50] | d_loss: 0.5581 | g_loss: 0.7653
Epoch [   21/   50] | d_loss: 0.4488 | g_loss: 2.0378
Epoch [   22/   50] | d_loss: 0.2691 | g_loss: 3.0393
Epoch [   22/   50] | d_loss: 0.5730 | g_loss: 2.5229
Epoch [   23/   50] | d_loss: 0.8033 | g_loss: 3.0051
Epoch [   23/   50] | d_loss: 0.3003 | g_loss: 2.2662
Epoch [   24/   50] | d_loss: 0.3115 | g_loss: 2.6226
Epoch [   24/   50] | d_loss: 0.5210 | g_loss: 1.6228
Epoch [   25/   50] | d_loss: 0.3181 | g_loss: 3.0181
Epoch [   25/   50] | d_loss: 0.7349 | g_loss: 3.0472
Epoch [   26/   50] | d_loss: 0.5570 | g_loss: 2.6028
Epoch [   26/   50] | d_loss: 0.2997 | g_loss: 3.0497
Epoch [   27/   50] | d_loss: 0.2608 | g_loss: 2.9945
Epoch [   27/   50] | d_loss: 0.2700 | g_loss: 2.9829
Epoch [   28/   50] | d_loss: 2.8759 | g_loss: 4.6633
Epoch [   28/   50] | d_loss: 0.3329 | g_loss: 3.3815
Epoch [   29/   50] | d_loss: 0.5622 | g_loss: 3.6624
Epoch [   29/   50] | d_loss: 0.4884 | g_loss: 1.8300
Epoch [   30/   50] | d_loss: 0.3225 | g_loss: 2.5506
Epoch [   30/   50] | d_loss: 0.1828 | g_loss: 3.2149
Epoch [   31/   50] | d_loss: 0.6937 | g_loss: 0.9817
Epoch [   31/   50] | d_loss: 0.2039 | g_loss: 3.2534
Epoch [   32/   50] | d_loss: 0.2068 | g_loss: 2.7720
Epoch [   32/   50] | d_loss: 0.4417 | g_loss: 1.7050
Epoch [   33/   50] | d_loss: 0.1672 | g_loss: 3.7504
Epoch [   33/   50] | d_loss: 0.1707 | g_loss: 3.7473
Epoch [   34/   50] | d_loss: 0.7148 | g_loss: 2.8422
Epoch [   34/   50] | d_loss: 0.2625 | g_loss: 2.2657
Epoch [   35/   50] | d_loss: 0.3767 | g_loss: 2.0063
Epoch [   35/   50] | d_loss: 0.3230 | g_loss: 1.8088
Epoch [   36/   50] | d_loss: 0.4923 | g_loss: 2.5304
Epoch [   36/   50] | d_loss: 0.2569 | g_loss: 3.5605
Epoch [   37/   50] | d_loss: 0.2270 | g_loss: 2.1251
Epoch [   37/   50] | d_loss: 0.4347 | g_loss: 2.6969
Epoch [   38/   50] | d_loss: 0.3111 | g_loss: 3.5902
Epoch [   38/   50] | d_loss: 0.4026 | g_loss: 1.9509
Epoch [   39/   50] | d_loss: 0.2049 | g_loss: 2.8941
Epoch [   39/   50] | d_loss: 0.1770 | g_loss: 3.2700
Epoch [   40/   50] | d_loss: 0.2096 | g_loss: 2.6824
Epoch [   40/   50] | d_loss: 0.3887 | g_loss: 2.6191
Epoch [   41/   50] | d_loss: 0.3434 | g_loss: 4.1788
Epoch [   41/   50] | d_loss: 0.3250 | g_loss: 2.3265
Epoch [   42/   50] | d_loss: 1.0688 | g_loss: 5.4548
Epoch [   42/   50] | d_loss: 0.1663 | g_loss: 3.1861
Epoch [   43/   50] | d_loss: 0.1288 | g_loss: 3.9717
Epoch [   43/   50] | d_loss: 0.3462 | g_loss: 4.8877
Epoch [   44/   50] | d_loss: 0.4458 | g_loss: 3.8337
Epoch [   44/   50] | d_loss: 0.1289 | g_loss: 3.4604
Epoch [   45/   50] | d_loss: 0.1731 | g_loss: 2.2678
Epoch [   45/   50] | d_loss: 0.3712 | g_loss: 3.1704
Epoch [   46/   50] | d_loss: 0.1615 | g_loss: 4.1490
Epoch [   46/   50] | d_loss: 0.1619 | g_loss: 4.4828
Epoch [   47/   50] | d_loss: 0.1401 | g_loss: 3.3552
Epoch [   47/   50] | d_loss: 0.1629 | g_loss: 2.2919
Epoch [   48/   50] | d_loss: 0.4875 | g_loss: 3.2755
Epoch [   48/   50] | d_loss: 0.1618 | g_loss: 3.3301
Epoch [   49/   50] | d_loss: 0.2944 | g_loss: 2.4259
Epoch [   49/   50] | d_loss: 0.1055 | g_loss: 4.0116
Epoch [   50/   50] | d_loss: 0.2780 | g_loss: 3.3777
Epoch [   50/   50] | d_loss: 0.1459 | g_loss: 2.3181
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<h2 id="Training-loss">Training loss<a class="anchor-link" href="#Training-loss">&#182;</a></h2><p>Here we'll plot the training losses for the generator and discriminator, recorded after each epoch.</p>

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<div class="prompt input_prompt">In&nbsp;[16]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">losses</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">losses</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">losses</span><span class="o">.</span><span class="n">T</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Discriminator&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">losses</span><span class="o">.</span><span class="n">T</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Generator&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Training Losses&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
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<pre>&lt;matplotlib.legend.Legend at 0x7fbe79056860&gt;</pre>
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<h2 id="Generator-samples-from-training">Generator samples from training<a class="anchor-link" href="#Generator-samples-from-training">&#182;</a></h2><p>Here we can view samples of images from the generator. We'll look at the images we saved during training.</p>

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<div class="prompt input_prompt">In&nbsp;[17]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># helper function for viewing a list of passed in sample images</span>
<span class="k">def</span> <span class="nf">view_samples</span><span class="p">(</span><span class="n">epoch</span><span class="p">,</span> <span class="n">samples</span><span class="p">):</span>
    <span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span><span class="mi">4</span><span class="p">),</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">ncols</span><span class="o">=</span><span class="mi">8</span><span class="p">,</span> <span class="n">sharey</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="k">for</span> <span class="n">ax</span><span class="p">,</span> <span class="n">img</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">axes</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">samples</span><span class="p">[</span><span class="n">epoch</span><span class="p">]):</span>
        <span class="n">img</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">detach</span><span class="p">()</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
        <span class="n">img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
        <span class="n">img</span> <span class="o">=</span> <span class="p">((</span><span class="n">img</span> <span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">*</span><span class="mi">255</span> <span class="o">/</span> <span class="p">(</span><span class="mi">2</span><span class="p">))</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span> <span class="c1"># rescale to pixel range (0-255)</span>
        <span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
        <span class="n">ax</span><span class="o">.</span><span class="n">yaxis</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
        <span class="n">im</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">,</span><span class="mi">3</span><span class="p">)))</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">_</span> <span class="o">=</span> <span class="n">view_samples</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">samples</span><span class="p">)</span>
</pre></div>

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