dlnd_face_generation.html

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<title>dlnd_face_generation</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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<style type="text/css">
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<h1 id="Face-Generation">Face Generation<a class="anchor-link" href="#Face-Generation">&#182;</a></h1><p>In this project, you'll define and train a DCGAN on a dataset of faces. Your goal is to get a generator network to generate <em>new</em> images of faces that look as realistic as possible!</p>
<p>The project will be broken down into a series of tasks from <strong>loading in data to defining and training adversarial networks</strong>. At the end of the notebook, you'll be able to visualize the results of your trained Generator to see how it performs; your generated samples should look like fairly realistic faces with small amounts of noise.</p>
<h3 id="Get-the-Data">Get the Data<a class="anchor-link" href="#Get-the-Data">&#182;</a></h3><p>You'll be using the <a href="http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html">CelebFaces Attributes Dataset (CelebA)</a> to train your adversarial networks.</p>
<p>This dataset is more complex than the number datasets (like MNIST or SVHN) you've been working with, and so, you should prepare to define deeper networks and train them for a longer time to get good results. It is suggested that you utilize a GPU for training.</p>
<h3 id="Pre-processed-Data">Pre-processed Data<a class="anchor-link" href="#Pre-processed-Data">&#182;</a></h3><p>Since the project's main focus is on building the GANs, we've done <em>some</em> of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. Some sample data is show below.</p>
<p><img src='assets/processed_face_data.png' width=60% /></p>
<blockquote><p>If you are working locally, you can download this data <a href="https://s3.amazonaws.com/video.udacity-data.com/topher/2018/November/5be7eb6f_processed-celeba-small/processed-celeba-small.zip">by clicking here</a></p>
</blockquote>
<p>This is a zip file that you'll need to extract in the home directory of this notebook for further loading and processing. After extracting the data, you should be left with a directory of data <code>processed_celeba_small/</code></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># can comment out after executing</span>
<span class="o">!</span>unzip processed_celeba_small.zip
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<pre>Archive:  processed_celeba_small.zip
replace processed_celeba_small/.DS_Store? [y]es, [n]o, [A]ll, [N]one, [r]ename: ^C
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;processed_celeba_small/&#39;</span>

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<span class="kn">import</span> <span class="nn">pickle</span> <span class="k">as</span> <span class="nn">pkl</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">problem_unittests</span> <span class="k">as</span> <span class="nn">tests</span>
<span class="c1">#import helper</span>

<span class="o">%</span><span class="k">matplotlib</span> inline
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<h2 id="Visualize-the-CelebA-Data">Visualize the CelebA Data<a class="anchor-link" href="#Visualize-the-CelebA-Data">&#182;</a></h2><p>The <a href="http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html">CelebA</a> dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations, you'll only need the images. Note that these are color images with <a href="https://en.wikipedia.org/wiki/Channel_(digital_image">3 color channels (RGB)</a>#RGB_Images) each.</p>
<h3 id="Pre-process-and-Load-the-Data">Pre-process and Load the Data<a class="anchor-link" href="#Pre-process-and-Load-the-Data">&#182;</a></h3><p>Since the project's main focus is on building the GANs, we've done <em>some</em> of the pre-processing for you. Each of the CelebA images has been cropped to remove parts of the image that don't include a face, then resized down to 64x64x3 NumPy images. This <em>pre-processed</em> dataset is a smaller subset of the very large CelebA data.</p>
<blockquote><p>There are a few other steps that you'll need to <strong>transform</strong> this data and create a <strong>DataLoader</strong>.</p>
</blockquote>
<h4 id="Exercise:-Complete-the-following-get_dataloader-function,-such-that-it-satisfies-these-requirements:">Exercise: Complete the following <code>get_dataloader</code> function, such that it satisfies these requirements:<a class="anchor-link" href="#Exercise:-Complete-the-following-get_dataloader-function,-such-that-it-satisfies-these-requirements:">&#182;</a></h4><ul>
<li>Your images should be square, Tensor images of size <code>image_size x image_size</code> in the x and y dimension.</li>
<li>Your function should return a DataLoader that shuffles and batches these Tensor images.</li>
</ul>
<h4 id="ImageFolder">ImageFolder<a class="anchor-link" href="#ImageFolder">&#182;</a></h4><p>To create a dataset given a directory of images, it's recommended that you use PyTorch's <a href="https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder">ImageFolder</a> wrapper, with a root directory <code>processed_celeba_small/</code> and data transformation passed in.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># necessary imports</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>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">get_dataloader</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">image_size</span><span class="p">,</span> <span class="n">data_dir</span><span class="o">=</span><span class="s1">&#39;processed_celeba_small/&#39;</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">    Batch the neural network data using DataLoader</span>
<span class="sd">    :param batch_size: The size of each batch; the number of images in a batch</span>
<span class="sd">    :param img_size: The square size of the image data (x, y)</span>
<span class="sd">    :param data_dir: Directory where image data is located</span>
<span class="sd">    :return: DataLoader with batched data</span>
<span class="sd">    &quot;&quot;&quot;</span>
    
    <span class="c1"># TODO: Implement function and return a dataloader</span>
    <span class="n">dataset</span><span class="o">=</span><span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span>
        <span class="n">root</span><span class="o">=</span><span class="n">data_dir</span><span class="p">,</span>
        <span class="n">transform</span><span class="o">=</span><span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span>
            <span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">32</span><span class="p">),</span>
            <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">32</span><span class="p">),</span>
            <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">()</span>
            <span class="p">])</span>
            <span class="p">)</span>
    <span class="n">dataloader</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="p">,</span><span class="n">batch_size</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span><span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">dataloader</span>
 
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<h2 id="Create-a-DataLoader">Create a DataLoader<a class="anchor-link" href="#Create-a-DataLoader">&#182;</a></h2><h4 id="Exercise:-Create-a-DataLoader-celeba_train_loader-with-appropriate-hyperparameters.">Exercise: Create a DataLoader <code>celeba_train_loader</code> with appropriate hyperparameters.<a class="anchor-link" href="#Exercise:-Create-a-DataLoader-celeba_train_loader-with-appropriate-hyperparameters.">&#182;</a></h4><p>Call the above function and create a dataloader to view images.</p>
<ul>
<li>You can decide on any reasonable <code>batch_size</code> parameter</li>
<li>Your <code>image_size</code> <strong>must be</strong> <code>32</code>. Resizing the data to a smaller size will make for faster training, while still creating convincing images of faces!</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define function hyperparameters</span>
<span class="n">batch_size</span> <span class="o">=</span> <span class="mi">128</span>
<span class="n">img_size</span> <span class="o">=</span> <span class="mi">32</span>

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<span class="c1"># Call your function and get a dataloader</span>
<span class="n">celeba_train_loader</span> <span class="o">=</span> <span class="n">get_dataloader</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">img_size</span><span class="p">)</span>
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<p>Next, you can view some images! You should seen square images of somewhat-centered faces.</p>
<p>Note: You'll need to convert the Tensor images into a NumPy type and transpose the dimensions to correctly display an image, suggested <code>imshow</code> code is below, but it may not be perfect.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># helper display function</span>
<span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">):</span>
    <span class="n">npimg</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
    <span class="n">plt</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">npimg</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>

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<span class="sd">&quot;&quot;&quot;</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">celeba_train_loader</span><span class="p">)</span>
<span class="n">images</span><span class="p">,</span> <span class="n">_</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"># _ for no labels</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">20</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">imshow</span><span class="p">(</span><span class="n">images</span><span class="p">[</span><span class="n">idx</span><span class="p">])</span>
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<h4 id="Exercise:-Pre-process-your-image-data-and-scale-it-to-a-pixel-range-of--1-to-1">Exercise: Pre-process your image data and scale it to a pixel range of -1 to 1<a class="anchor-link" href="#Exercise:-Pre-process-your-image-data-and-scale-it-to-a-pixel-range-of--1-to-1">&#182;</a></h4><p>You need to do a bit of pre-processing; you know that the output of a <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"># TODO: Complete the 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="n">Min</span><span class="p">,</span><span class="n">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="n">Max</span><span class="o">-</span><span class="n">Min</span><span class="p">)</span><span class="o">+</span><span class="n">Min</span>
    <span class="c1"># scale to feature_range and return scaled x</span>
    
    <span class="k">return</span> <span class="n">x</span>
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<span class="sd">DON&#39;T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="c1"># check scaled range</span>
<span class="c1"># should be close to -1 to 1</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="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;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;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>Min:  tensor(-0.9216)
Max:  tensor(0.9216)
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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>
<h2 id="Discriminator">Discriminator<a class="anchor-link" href="#Discriminator">&#182;</a></h2><p>Your first task will be to define the discriminator. This is a convolutional classifier like you've built before, only without any maxpooling layers. To deal with this complex data, it's suggested you use a deep network with <strong>normalization</strong>. You are also allowed to create any helper functions that may be useful.</p>
<h4 id="Exercise:-Complete-the-Discriminator-class">Exercise: Complete the Discriminator class<a class="anchor-link" href="#Exercise:-Complete-the-Discriminator-class">&#182;</a></h4><ul>
<li>The inputs to the discriminator are 32x32x3 tensor images</li>
<li>The output should be a single value that will indicate whether a given image is real or fake</li>
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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>
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<div class=" highlight hl-ipython3"><pre><span></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="n">layers</span><span class="o">=</span><span class="p">[]</span>
    <span class="n">conv</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="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">conv</span><span class="p">)</span>

    <span class="k">if</span> <span class="n">batch_norm</span><span class="p">:</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">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="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="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="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="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="n">batch_norm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</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="n">batch_norm</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv4</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">4</span><span class="p">,</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">8</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="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">8</span><span class="o">*</span><span class="mi">2</span><span class="o">*</span><span class="mi">2</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="n">x</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">x</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">x</span><span class="p">),</span><span class="mf">0.2</span><span class="p">)</span>
        <span class="n">x</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">x</span><span class="p">),</span><span class="mf">0.2</span><span class="p">)</span>
        <span class="n">x</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">conv4</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">x</span> <span class="o">=</span> <span class="n">x</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">8</span><span class="o">*</span><span class="mi">2</span><span class="o">*</span><span class="mi">2</span><span class="p">)</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="k">return</span> <span class="n">out</span>


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<span class="n">tests</span><span class="o">.</span><span class="n">test_discriminator</span><span class="p">(</span><span class="n">Discriminator</span><span class="p">)</span>
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<h2 id="Generator">Generator<a class="anchor-link" href="#Generator">&#182;</a></h2><p>The generator should upsample an input and generate a <em>new</em> image of the same size as our training data <code>32x32x3</code>. This should be mostly transpose convolutional layers with normalization applied to the outputs.</p>
<h4 id="Exercise:-Complete-the-Generator-class">Exercise: Complete the Generator class<a class="anchor-link" href="#Exercise:-Complete-the-Generator-class">&#182;</a></h4><ul>
<li>The inputs to the generator are vectors of some length <code>z_size</code></li>
<li>The output should be a image of shape <code>32x32x3</code></li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></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="n">layers</span><span class="o">=</span><span class="p">[]</span>
    <span class="n">transpose_conv</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="n">layers</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">transpose_conv</span><span class="p">)</span>

    <span class="k">if</span> <span class="n">batch_norm</span><span class="p">:</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="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="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="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">8</span><span class="o">*</span><span class="mi">2</span><span class="o">*</span><span class="mi">2</span><span class="p">)</span>

        <span class="bp">self</span><span class="o">.</span><span class="n">deconv1</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">8</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="bp">self</span><span class="o">.</span><span class="n">deconv2</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">deconv3</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">deconv4</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="n">x</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">x</span> <span class="o">=</span> <span class="n">x</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">8</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
        <span class="n">x</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">deconv1</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
        <span class="n">x</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">deconv2</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
        <span class="n">x</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">deconv3</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
        <span class="n">x</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">deconv4</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">F</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">out</span>

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<span class="n">tests</span><span class="o">.</span><span class="n">test_generator</span><span class="p">(</span><span class="n">Generator</span><span class="p">)</span>
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<pre>Tests Passed
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<h2 id="Initialize-the-weights-of-your-networks">Initialize the weights of your networks<a class="anchor-link" href="#Initialize-the-weights-of-your-networks">&#182;</a></h2><p>To help your models converge, you should initialize the weights of the convolutional and linear layers in your model. From reading the <a href="https://arxiv.org/pdf/1511.06434.pdf">original DCGAN paper</a>, they say:</p>
<blockquote><p>All weights were initialized from a zero-centered Normal distribution with standard deviation 0.02.</p>
</blockquote>
<p>So, your next task will be to define a weight initialization function that does just this!</p>
<p>You can refer back to the lesson on weight initialization or even consult existing model code, such as that from <a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models/networks.py">the <code>networks.py</code> file in CycleGAN Github repository</a> to help you complete this function.</p>
<h4 id="Exercise:-Complete-the-weight-initialization-function">Exercise: Complete the weight initialization function<a class="anchor-link" href="#Exercise:-Complete-the-weight-initialization-function">&#182;</a></h4><ul>
<li>This should initialize only <strong>convolutional</strong> and <strong>linear</strong> layers</li>
<li>Initialize the weights to a normal distribution, centered around 0, with a standard deviation of 0.02.</li>
<li>The bias terms, if they exist, may be left alone or set to 0.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">weights_init_normal</span><span class="p">(</span><span class="n">m</span><span class="p">):</span>

    <span class="c1"># classname will be something like:</span>
    <span class="c1"># `Conv`, `BatchNorm2d`, `Linear`, etc.</span>
    <span class="n">classname</span> <span class="o">=</span> <span class="n">m</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span>
    
    <span class="c1"># Applying initial weights to convolutional and linear layers</span>
    <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="s1">&#39;weight&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">classname</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;Conv&#39;</span><span class="p">)</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span> <span class="ow">or</span> <span class="n">classname</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;Linear&#39;</span><span class="p">)</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span><span class="p">):</span>
        <span class="n">m</span><span class="o">.</span><span class="n">weight</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">normal_</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.02</span><span class="p">)</span>
        
        <span class="c1"># The bias terms, if they exist, set to 0</span>
        <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="s1">&#39;bias&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="n">m</span><span class="o">.</span><span class="n">bias</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
            <span class="n">m</span><span class="o">.</span><span class="n">bias</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">zero_</span><span class="p">()</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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<span class="k">def</span> <span class="nf">build_network</span><span class="p">(</span><span class="n">d_conv_dim</span><span class="p">,</span> <span class="n">g_conv_dim</span><span class="p">,</span> <span class="n">z_size</span><span class="p">):</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">d_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">g_conv_dim</span><span class="p">)</span>

    <span class="c1"># initialize model weights</span>
    <span class="n">D</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">weights_init_normal</span><span class="p">)</span>
    <span class="n">G</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">weights_init_normal</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>
    
    <span class="k">return</span> <span class="n">D</span><span class="p">,</span> <span class="n">G</span>
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<h4 id="Exercise:-Define-model-hyperparameters">Exercise: Define model hyperparameters<a class="anchor-link" href="#Exercise:-Define-model-hyperparameters">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Define model hyperparams</span>
<span class="n">d_conv_dim</span> <span class="o">=</span> <span class="mi">32</span>
<span class="n">g_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>

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<span class="sd">DON&#39;T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="n">D</span><span class="p">,</span> <span class="n">G</span> <span class="o">=</span> <span class="n">build_network</span><span class="p">(</span><span class="n">d_conv_dim</span><span class="p">,</span> <span class="n">g_conv_dim</span><span class="p">,</span> <span class="n">z_size</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)
  )
  (conv3): Sequential(
    (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
  )
  (conv4): Sequential(
    (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
  )
  (fc): Linear(in_features=1024, out_features=1, bias=True)
)

Generator(
  (fc): Linear(in_features=100, out_features=1024, bias=True)
  (deconv1): Sequential(
    (0): ConvTranspose2d(256, 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)
  )
  (deconv2): 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)
  )
  (deconv3): 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)
  )
  (deconv4): 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. Here, we'll set this as a boolean variable <code>train_on_gpu</code>. Later, you'll be responsible for making sure that</p>
<blockquote><ul>
<li>Models,</li>
<li>Model inputs, and</li>
<li>Loss function arguments</li>
</ul>
</blockquote>
<p>Are moved to GPU, where appropriate.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd">DON&#39;T MODIFY ANYTHING IN THIS CELL</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">torch</span>

<span class="c1"># Check for a GPU</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="ow">not</span> <span class="n">train_on_gpu</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;No GPU found. Please use a GPU to train your neural network.&#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 GPU!&#39;</span><span class="p">)</span>
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<pre>Training on 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 for both types of adversarial networks.</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>
<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 the discriminator to <em>think</em> its generated images are <em>real</em>.</p>
<h4 id="Exercise:-Complete-real-and-fake-loss-functions">Exercise: Complete real and fake loss functions<a class="anchor-link" href="#Exercise:-Complete-real-and-fake-loss-functions">&#182;</a></h4><p><strong>You may choose to use either cross entropy or a least squares error loss to complete the following <code>real_loss</code> and <code>fake_loss</code> functions.</strong></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="sd">&#39;&#39;&#39;Calculates how close discriminator outputs are to being real.</span>
<span class="sd">       param, D_out: discriminator logits</span>
<span class="sd">       return: real loss&#39;&#39;&#39;</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">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">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="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="sd">&#39;&#39;&#39;Calculates how close discriminator outputs are to being fake.</span>
<span class="sd">       param, D_out: discriminator logits</span>
<span class="sd">       return: fake loss&#39;&#39;&#39;</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><h4 id="Exercise:-Define-optimizers-for-your-Discriminator-(D)-and-Generator-(G)">Exercise: Define optimizers for your Discriminator (D) and Generator (G)<a class="anchor-link" href="#Exercise:-Define-optimizers-for-your-Discriminator-(D)-and-Generator-(G)">&#182;</a></h4><p>Define optimizers for your models with appropriate hyperparameters.</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"># Create optimizers for the discriminator D and generator G</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="o">=</span><span class="mf">0.0002</span><span class="p">,</span><span class="n">betas</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span><span class="mf">0.999</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="o">=</span><span class="mf">0.0002</span><span class="p">,</span><span class="n">betas</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span><span class="mf">0.999</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. You'll use your functions <code>real_loss</code> and <code>fake_loss</code> to help you calculate the discriminator losses.</p>
<ul>
<li>You should train the discriminator by alternating on real and fake images</li>
<li>Then the generator, which tries to trick the discriminator and should have an opposing loss function</li>
</ul>
<h4 id="Saving-Samples">Saving Samples<a class="anchor-link" href="#Saving-Samples">&#182;</a></h4><p>You've been given some code to print out some loss statistics and save some generated "fake" samples.</p>

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<h4 id="Exercise:-Complete-the-training-function">Exercise: Complete the training function<a class="anchor-link" href="#Exercise:-Complete-the-training-function">&#182;</a></h4><p>Keep in mind that, if you've moved your models to GPU, you'll also have to move any model inputs to GPU.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="n">D</span><span class="p">,</span> <span class="n">G</span><span class="p">,</span> <span class="n">n_epochs</span><span class="p">,</span> <span class="n">print_every</span><span class="o">=</span><span class="mi">50</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39;Trains adversarial networks for some number of epochs</span>
<span class="sd">       param, D: the discriminator network</span>
<span class="sd">       param, G: the generator network</span>
<span class="sd">       param, n_epochs: number of epochs to train for</span>
<span class="sd">       param, print_every: when to print and record the models&#39; losses</span>
<span class="sd">       return: D and G losses&#39;&#39;&#39;</span>
    
    <span class="c1"># move models to GPU</span>
    <span class="k">if</span> <span class="n">train_on_gpu</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="n">G</span><span class="o">.</span><span class="n">cuda</span><span class="p">()</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="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"># move z to GPU if available</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="c1"># epoch training loop</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">n_epochs</span><span class="p">):</span>

        <span class="c1"># batch training loop</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">celeba_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="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">#         YOUR CODE HERE: TRAIN THE NETWORKS</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="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="c1"># 1. Train the discriminator on real and fake images</span>
            
            <span class="c1"># Compute the discriminator losses on real images</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"># 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="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"># 2. Train the generator with an adversarial loss</span>
            <span class="n">g_optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</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="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"># perfom 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"># ===============================================</span>
            <span class="c1">#              END OF YOUR CODE</span>
            <span class="c1"># ===============================================</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">n_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"># this code assumes your generator is named G, feel free to change the name</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="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>
    
    <span class="c1"># finally return losses</span>
    <span class="k">return</span> <span class="n">losses</span>
</pre></div>

    </div>
</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<p>Set your number of training epochs and train your GAN!</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[64]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># set number of epochs </span>
<span class="n">n_epochs</span> <span class="o">=</span> <span class="mi">20</span>


<span class="sd">&quot;&quot;&quot;</span>
<span class="sd">DON&#39;T MODIFY ANYTHING IN THIS CELL</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="c1"># call training function</span>
<span class="n">losses</span> <span class="o">=</span> <span class="n">train</span><span class="p">(</span><span class="n">D</span><span class="p">,</span> <span class="n">G</span><span class="p">,</span> <span class="n">n_epochs</span><span class="o">=</span><span class="n">n_epochs</span><span class="p">)</span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt"></div>


<div class="output_subarea output_stream output_stdout output_text">
<pre>Epoch [    1/   20] | d_loss: 2.3509 | g_loss: 0.5458
Epoch [    1/   20] | d_loss: 1.6946 | g_loss: 0.7859
Epoch [    1/   20] | d_loss: 1.0994 | g_loss: 0.6612
Epoch [    1/   20] | d_loss: 1.0625 | g_loss: 0.7043
Epoch [    1/   20] | d_loss: 1.0715 | g_loss: 0.6913
Epoch [    1/   20] | d_loss: 1.0269 | g_loss: 0.7186
Epoch [    1/   20] | d_loss: 1.0289 | g_loss: 0.7074
Epoch [    1/   20] | d_loss: 1.1089 | g_loss: 0.6485
Epoch [    1/   20] | d_loss: 1.1080 | g_loss: 0.6456
Epoch [    1/   20] | d_loss: 1.1178 | g_loss: 0.6394
Epoch [    1/   20] | d_loss: 1.1600 | g_loss: 0.6373
Epoch [    1/   20] | d_loss: 1.1494 | g_loss: 0.6681
Epoch [    1/   20] | d_loss: 1.1892 | g_loss: 0.6276
Epoch [    1/   20] | d_loss: 1.2465 | g_loss: 0.6078
Epoch [    1/   20] | d_loss: 1.1850 | g_loss: 0.6400
Epoch [    2/   20] | d_loss: 1.1793 | g_loss: 0.6394
Epoch [    2/   20] | d_loss: 1.2135 | g_loss: 0.6657
Epoch [    2/   20] | d_loss: 1.2052 | g_loss: 0.6484
Epoch [    2/   20] | d_loss: 1.2872 | g_loss: 0.6166
Epoch [    2/   20] | d_loss: 1.2894 | g_loss: 0.6196
Epoch [    2/   20] | d_loss: 1.2766 | g_loss: 0.6257
Epoch [    2/   20] | d_loss: 1.3033 | g_loss: 0.6337
Epoch [    2/   20] | d_loss: 1.2781 | g_loss: 0.6548
Epoch [    2/   20] | d_loss: 1.3376 | g_loss: 0.6217
Epoch [    2/   20] | d_loss: 1.3177 | g_loss: 0.6366
Epoch [    2/   20] | d_loss: 1.3020 | g_loss: 0.6596
Epoch [    2/   20] | d_loss: 1.3551 | g_loss: 0.6209
Epoch [    2/   20] | d_loss: 1.3415 | g_loss: 0.6547
Epoch [    2/   20] | d_loss: 1.3498 | g_loss: 0.6655
Epoch [    2/   20] | d_loss: 1.3677 | g_loss: 0.6687
Epoch [    3/   20] | d_loss: 1.3563 | g_loss: 0.6652
Epoch [    3/   20] | d_loss: 1.3180 | g_loss: 0.6516
Epoch [    3/   20] | d_loss: 1.3445 | g_loss: 0.6781
Epoch [    3/   20] | d_loss: 1.3698 | g_loss: 0.6767
Epoch [    3/   20] | d_loss: 1.3347 | g_loss: 0.6848
Epoch [    3/   20] | d_loss: 1.3742 | g_loss: 0.6626
Epoch [    3/   20] | d_loss: 1.3883 | g_loss: 0.6761
Epoch [    3/   20] | d_loss: 1.3404 | g_loss: 0.7075
Epoch [    3/   20] | d_loss: 1.3722 | g_loss: 0.7117
Epoch [    3/   20] | d_loss: 1.3242 | g_loss: 0.7135
Epoch [    3/   20] | d_loss: 1.3661 | g_loss: 0.7053
Epoch [    3/   20] | d_loss: 1.3700 | g_loss: 0.7428
Epoch [    3/   20] | d_loss: 1.3954 | g_loss: 0.6860
Epoch [    3/   20] | d_loss: 1.3329 | g_loss: 0.7435
Epoch [    3/   20] | d_loss: 1.3937 | g_loss: 0.7411
Epoch [    4/   20] | d_loss: 1.4001 | g_loss: 0.7345
Epoch [    4/   20] | d_loss: 1.3692 | g_loss: 0.7148
Epoch [    4/   20] | d_loss: 1.3846 | g_loss: 0.7382
Epoch [    4/   20] | d_loss: 1.3870 | g_loss: 0.7307
Epoch [    4/   20] | d_loss: 1.3889 | g_loss: 0.7467
Epoch [    4/   20] | d_loss: 1.3365 | g_loss: 0.7847
Epoch [    4/   20] | d_loss: 1.3712 | g_loss: 0.7547
Epoch [    4/   20] | d_loss: 1.3755 | g_loss: 0.7585
Epoch [    4/   20] | d_loss: 1.3596 | g_loss: 0.7818
Epoch [    4/   20] | d_loss: 1.3798 | g_loss: 0.7719
Epoch [    4/   20] | d_loss: 1.3679 | g_loss: 0.7693
Epoch [    4/   20] | d_loss: 1.3438 | g_loss: 0.7718
Epoch [    4/   20] | d_loss: 1.3633 | g_loss: 0.7460
Epoch [    4/   20] | d_loss: 1.4084 | g_loss: 0.7364
Epoch [    4/   20] | d_loss: 1.3732 | g_loss: 0.7737
Epoch [    5/   20] | d_loss: 1.3481 | g_loss: 0.7891
Epoch [    5/   20] | d_loss: 1.3388 | g_loss: 0.8021
Epoch [    5/   20] | d_loss: 1.3545 | g_loss: 0.7914
Epoch [    5/   20] | d_loss: 1.3670 | g_loss: 0.8175
Epoch [    5/   20] | d_loss: 1.3287 | g_loss: 0.8437
Epoch [    5/   20] | d_loss: 1.3774 | g_loss: 0.7915
Epoch [    5/   20] | d_loss: 1.4226 | g_loss: 0.7475
Epoch [    5/   20] | d_loss: 1.3792 | g_loss: 0.8841
Epoch [    5/   20] | d_loss: 1.3288 | g_loss: 0.8243
Epoch [    5/   20] | d_loss: 1.3516 | g_loss: 0.7983
Epoch [    5/   20] | d_loss: 1.3116 | g_loss: 0.8235
Epoch [    5/   20] | d_loss: 1.3209 | g_loss: 0.7923
Epoch [    5/   20] | d_loss: 1.3145 | g_loss: 0.7983
Epoch [    5/   20] | d_loss: 1.3942 | g_loss: 0.7469
Epoch [    5/   20] | d_loss: 1.3127 | g_loss: 0.8563
Epoch [    6/   20] | d_loss: 1.3726 | g_loss: 0.8497
Epoch [    6/   20] | d_loss: 1.3851 | g_loss: 0.8307
Epoch [    6/   20] | d_loss: 1.3625 | g_loss: 0.9678
Epoch [    6/   20] | d_loss: 1.3084 | g_loss: 0.8677
Epoch [    6/   20] | d_loss: 1.2599 | g_loss: 0.9284
Epoch [    6/   20] | d_loss: 1.1182 | g_loss: 1.1182
Epoch [    6/   20] | d_loss: 1.4203 | g_loss: 0.7190
Epoch [    6/   20] | d_loss: 1.2477 | g_loss: 0.9350
Epoch [    6/   20] | d_loss: 1.3056 | g_loss: 1.0948
Epoch [    6/   20] | d_loss: 1.2899 | g_loss: 0.9943
Epoch [    6/   20] | d_loss: 1.2253 | g_loss: 0.9765
Epoch [    6/   20] | d_loss: 1.5249 | g_loss: 0.8757
Epoch [    6/   20] | d_loss: 1.2342 | g_loss: 0.9884
Epoch [    6/   20] | d_loss: 1.2210 | g_loss: 0.9057
Epoch [    6/   20] | d_loss: 1.0511 | g_loss: 1.1031
Epoch [    7/   20] | d_loss: 1.1482 | g_loss: 1.0129
Epoch [    7/   20] | d_loss: 1.0833 | g_loss: 1.0737
Epoch [    7/   20] | d_loss: 1.3091 | g_loss: 0.8796
Epoch [    7/   20] | d_loss: 1.0383 | g_loss: 1.0682
Epoch [    7/   20] | d_loss: 1.1623 | g_loss: 0.9747
Epoch [    7/   20] | d_loss: 1.0617 | g_loss: 1.0800
Epoch [    7/   20] | d_loss: 1.0608 | g_loss: 1.1191
Epoch [    7/   20] | d_loss: 1.0874 | g_loss: 0.9821
Epoch [    7/   20] | d_loss: 1.0173 | g_loss: 1.1188
Epoch [    7/   20] | d_loss: 1.0615 | g_loss: 1.0982
Epoch [    7/   20] | d_loss: 1.0658 | g_loss: 1.1487
Epoch [    7/   20] | d_loss: 1.0297 | g_loss: 1.3927
Epoch [    7/   20] | d_loss: 1.1066 | g_loss: 1.0836
Epoch [    7/   20] | d_loss: 1.1726 | g_loss: 1.0823
Epoch [    7/   20] | d_loss: 1.1078 | g_loss: 0.9507
Epoch [    8/   20] | d_loss: 1.1820 | g_loss: 0.8634
Epoch [    8/   20] | d_loss: 1.1450 | g_loss: 1.0194
Epoch [    8/   20] | d_loss: 1.0729 | g_loss: 0.9868
Epoch [    8/   20] | d_loss: 1.1590 | g_loss: 1.1381
Epoch [    8/   20] | d_loss: 1.0860 | g_loss: 1.0666
Epoch [    8/   20] | d_loss: 1.2263 | g_loss: 0.8663
Epoch [    8/   20] | d_loss: 1.0421 | g_loss: 1.1145
Epoch [    8/   20] | d_loss: 1.2109 | g_loss: 0.9913
Epoch [    8/   20] | d_loss: 1.0369 | g_loss: 0.9641
Epoch [    8/   20] | d_loss: 1.0806 | g_loss: 0.9852
Epoch [    8/   20] | d_loss: 1.1209 | g_loss: 0.8976
Epoch [    8/   20] | d_loss: 1.1527 | g_loss: 0.8749
Epoch [    8/   20] | d_loss: 1.1015 | g_loss: 0.9413
Epoch [    8/   20] | d_loss: 1.0890 | g_loss: 0.9564
Epoch [    8/   20] | d_loss: 1.1924 | g_loss: 0.9223
Epoch [    9/   20] | d_loss: 1.1752 | g_loss: 0.9088
Epoch [    9/   20] | d_loss: 1.1177 | g_loss: 1.0554
Epoch [    9/   20] | d_loss: 1.1405 | g_loss: 1.0045
Epoch [    9/   20] | d_loss: 1.0863 | g_loss: 0.9818
Epoch [    9/   20] | d_loss: 1.3658 | g_loss: 0.8516
Epoch [    9/   20] | d_loss: 1.2259 | g_loss: 0.9659
Epoch [    9/   20] | d_loss: 1.1479 | g_loss: 1.3067
Epoch [    9/   20] | d_loss: 1.0724 | g_loss: 1.0201
Epoch [    9/   20] | d_loss: 1.1522 | g_loss: 0.9917
Epoch [    9/   20] | d_loss: 1.1844 | g_loss: 0.9480
Epoch [    9/   20] | d_loss: 1.2534 | g_loss: 1.0511
Epoch [    9/   20] | d_loss: 1.1420 | g_loss: 1.0378
Epoch [    9/   20] | d_loss: 1.2786 | g_loss: 1.0075
Epoch [    9/   20] | d_loss: 1.0941 | g_loss: 1.0069
Epoch [    9/   20] | d_loss: 1.2413 | g_loss: 0.9427
Epoch [   10/   20] | d_loss: 1.2121 | g_loss: 0.9415
Epoch [   10/   20] | d_loss: 1.2610 | g_loss: 1.0453
Epoch [   10/   20] | d_loss: 1.2539 | g_loss: 0.9849
Epoch [   10/   20] | d_loss: 1.1456 | g_loss: 1.0362
Epoch [   10/   20] | d_loss: 1.2169 | g_loss: 1.0235
Epoch [   10/   20] | d_loss: 1.1456 | g_loss: 1.0165
Epoch [   10/   20] | d_loss: 1.2202 | g_loss: 1.0152
Epoch [   10/   20] | d_loss: 1.2159 | g_loss: 1.0704
Epoch [   10/   20] | d_loss: 1.1749 | g_loss: 0.9264
Epoch [   10/   20] | d_loss: 1.1809 | g_loss: 1.0789
Epoch [   10/   20] | d_loss: 1.1275 | g_loss: 1.2212
Epoch [   10/   20] | d_loss: 1.2316 | g_loss: 0.9969
Epoch [   10/   20] | d_loss: 1.2116 | g_loss: 0.9104
Epoch [   10/   20] | d_loss: 1.1882 | g_loss: 1.0110
Epoch [   10/   20] | d_loss: 1.2257 | g_loss: 0.9493
Epoch [   11/   20] | d_loss: 1.1411 | g_loss: 1.0568
Epoch [   11/   20] | d_loss: 1.1974 | g_loss: 0.9153
Epoch [   11/   20] | d_loss: 1.2027 | g_loss: 1.0246
Epoch [   11/   20] | d_loss: 1.2227 | g_loss: 1.0021
Epoch [   11/   20] | d_loss: 1.1432 | g_loss: 0.8896
Epoch [   11/   20] | d_loss: 1.1861 | g_loss: 0.8568
Epoch [   11/   20] | d_loss: 1.2085 | g_loss: 1.0385
Epoch [   11/   20] | d_loss: 1.2576 | g_loss: 0.8989
Epoch [   11/   20] | d_loss: 1.1503 | g_loss: 1.0086
Epoch [   11/   20] | d_loss: 1.2282 | g_loss: 1.0360
Epoch [   11/   20] | d_loss: 1.1837 | g_loss: 1.0142
Epoch [   11/   20] | d_loss: 1.2187 | g_loss: 0.9718
Epoch [   11/   20] | d_loss: 1.2399 | g_loss: 1.0961
Epoch [   11/   20] | d_loss: 1.2317 | g_loss: 1.2826
Epoch [   11/   20] | d_loss: 1.1926 | g_loss: 1.0231
Epoch [   12/   20] | d_loss: 1.1929 | g_loss: 1.1867
Epoch [   12/   20] | d_loss: 1.1811 | g_loss: 1.0137
Epoch [   12/   20] | d_loss: 1.1578 | g_loss: 0.9753
Epoch [   12/   20] | d_loss: 1.2093 | g_loss: 1.0287
Epoch [   12/   20] | d_loss: 1.1263 | g_loss: 1.1908
Epoch [   12/   20] | d_loss: 1.2033 | g_loss: 1.0588
Epoch [   12/   20] | d_loss: 1.1803 | g_loss: 1.0447
Epoch [   12/   20] | d_loss: 1.1412 | g_loss: 1.0528
Epoch [   12/   20] | d_loss: 1.2859 | g_loss: 0.9642
Epoch [   12/   20] | d_loss: 1.1613 | g_loss: 1.1681
Epoch [   12/   20] | d_loss: 1.2218 | g_loss: 1.0212
Epoch [   12/   20] | d_loss: 1.1723 | g_loss: 1.1668
Epoch [   12/   20] | d_loss: 1.1550 | g_loss: 1.0260
Epoch [   12/   20] | d_loss: 1.2403 | g_loss: 1.0931
Epoch [   12/   20] | d_loss: 1.3014 | g_loss: 1.0044
Epoch [   13/   20] | d_loss: 1.3237 | g_loss: 0.9851
Epoch [   13/   20] | d_loss: 1.1769 | g_loss: 1.1141
Epoch [   13/   20] | d_loss: 1.1713 | g_loss: 0.9610
Epoch [   13/   20] | d_loss: 1.2786 | g_loss: 1.0625
Epoch [   13/   20] | d_loss: 1.2416 | g_loss: 1.1243
Epoch [   13/   20] | d_loss: 1.3046 | g_loss: 1.0752
Epoch [   13/   20] | d_loss: 1.1957 | g_loss: 1.4269
Epoch [   13/   20] | d_loss: 1.1913 | g_loss: 1.0293
Epoch [   13/   20] | d_loss: 1.1475 | g_loss: 1.0379
Epoch [   13/   20] | d_loss: 1.2381 | g_loss: 1.0338
Epoch [   13/   20] | d_loss: 1.2415 | g_loss: 0.9442
Epoch [   13/   20] | d_loss: 1.2036 | g_loss: 1.1488
Epoch [   13/   20] | d_loss: 1.2555 | g_loss: 1.1821
Epoch [   13/   20] | d_loss: 1.1835 | g_loss: 1.0497
Epoch [   13/   20] | d_loss: 1.2074 | g_loss: 1.0389
Epoch [   14/   20] | d_loss: 1.2201 | g_loss: 1.0768
Epoch [   14/   20] | d_loss: 1.2062 | g_loss: 1.0609
Epoch [   14/   20] | d_loss: 1.1758 | g_loss: 0.9590
Epoch [   14/   20] | d_loss: 1.2844 | g_loss: 1.1542
Epoch [   14/   20] | d_loss: 1.2274 | g_loss: 1.3165
Epoch [   14/   20] | d_loss: 1.2283 | g_loss: 1.0941
Epoch [   14/   20] | d_loss: 1.2199 | g_loss: 0.9333
Epoch [   14/   20] | d_loss: 1.2209 | g_loss: 1.0205
Epoch [   14/   20] | d_loss: 1.2375 | g_loss: 1.0610
Epoch [   14/   20] | d_loss: 1.2677 | g_loss: 1.0747
Epoch [   14/   20] | d_loss: 1.1827 | g_loss: 1.0807
Epoch [   14/   20] | d_loss: 1.1923 | g_loss: 1.3493
Epoch [   14/   20] | d_loss: 1.2885 | g_loss: 0.8833
Epoch [   14/   20] | d_loss: 1.2720 | g_loss: 1.1063
Epoch [   14/   20] | d_loss: 1.2582 | g_loss: 0.9832
Epoch [   15/   20] | d_loss: 1.2643 | g_loss: 1.1422
Epoch [   15/   20] | d_loss: 1.2339 | g_loss: 1.0391
Epoch [   15/   20] | d_loss: 1.0990 | g_loss: 1.1666
Epoch [   15/   20] | d_loss: 1.2295 | g_loss: 1.0377
Epoch [   15/   20] | d_loss: 1.1466 | g_loss: 1.0504
Epoch [   15/   20] | d_loss: 1.2078 | g_loss: 1.0053
Epoch [   15/   20] | d_loss: 1.1443 | g_loss: 1.0383
Epoch [   15/   20] | d_loss: 1.2555 | g_loss: 1.0309
Epoch [   15/   20] | d_loss: 1.1886 | g_loss: 1.0647
Epoch [   15/   20] | d_loss: 1.2291 | g_loss: 1.0326
Epoch [   15/   20] | d_loss: 1.2458 | g_loss: 1.0895
Epoch [   15/   20] | d_loss: 1.2400 | g_loss: 1.2744
Epoch [   15/   20] | d_loss: 1.1860 | g_loss: 1.1205
Epoch [   15/   20] | d_loss: 1.1434 | g_loss: 1.0186
Epoch [   15/   20] | d_loss: 1.2301 | g_loss: 0.9926
Epoch [   16/   20] | d_loss: 1.1798 | g_loss: 1.1563
Epoch [   16/   20] | d_loss: 1.1563 | g_loss: 1.0200
Epoch [   16/   20] | d_loss: 1.1517 | g_loss: 1.1542
Epoch [   16/   20] | d_loss: 1.1896 | g_loss: 1.1500
Epoch [   16/   20] | d_loss: 1.2126 | g_loss: 1.0388
Epoch [   16/   20] | d_loss: 1.2259 | g_loss: 1.1050
Epoch [   16/   20] | d_loss: 1.2516 | g_loss: 0.8841
Epoch [   16/   20] | d_loss: 1.1782 | g_loss: 1.0367
Epoch [   16/   20] | d_loss: 1.1718 | g_loss: 1.0359
Epoch [   16/   20] | d_loss: 1.1751 | g_loss: 1.1701
Epoch [   16/   20] | d_loss: 1.2085 | g_loss: 1.0096
Epoch [   16/   20] | d_loss: 1.2330 | g_loss: 0.9504
Epoch [   16/   20] | d_loss: 1.2583 | g_loss: 1.1187
Epoch [   16/   20] | d_loss: 1.1758 | g_loss: 1.1282
Epoch [   16/   20] | d_loss: 1.2235 | g_loss: 1.1186
Epoch [   17/   20] | d_loss: 1.2164 | g_loss: 1.0982
Epoch [   17/   20] | d_loss: 1.1603 | g_loss: 1.1102
Epoch [   17/   20] | d_loss: 1.1404 | g_loss: 1.1344
Epoch [   17/   20] | d_loss: 1.2063 | g_loss: 1.3858
Epoch [   17/   20] | d_loss: 1.1591 | g_loss: 1.0332
Epoch [   17/   20] | d_loss: 1.3074 | g_loss: 0.9759
Epoch [   17/   20] | d_loss: 1.3137 | g_loss: 1.1502
Epoch [   17/   20] | d_loss: 1.1840 | g_loss: 1.0297
Epoch [   17/   20] | d_loss: 1.2055 | g_loss: 1.0646
Epoch [   17/   20] | d_loss: 1.2056 | g_loss: 1.1264
Epoch [   17/   20] | d_loss: 1.2121 | g_loss: 1.1130
Epoch [   17/   20] | d_loss: 1.2643 | g_loss: 1.0197
Epoch [   17/   20] | d_loss: 1.2147 | g_loss: 1.0635
Epoch [   17/   20] | d_loss: 1.2177 | g_loss: 1.1230
Epoch [   17/   20] | d_loss: 1.1377 | g_loss: 1.0695
Epoch [   18/   20] | d_loss: 1.2745 | g_loss: 1.2407
Epoch [   18/   20] | d_loss: 1.1696 | g_loss: 1.2062
Epoch [   18/   20] | d_loss: 1.1185 | g_loss: 1.0308
Epoch [   18/   20] | d_loss: 1.1611 | g_loss: 1.2410
Epoch [   18/   20] | d_loss: 1.1883 | g_loss: 0.9757
Epoch [   18/   20] | d_loss: 1.2524 | g_loss: 1.1537
Epoch [   18/   20] | d_loss: 1.1764 | g_loss: 1.0600
Epoch [   18/   20] | d_loss: 1.2130 | g_loss: 1.2196
Epoch [   18/   20] | d_loss: 1.2578 | g_loss: 1.0755
Epoch [   18/   20] | d_loss: 1.2725 | g_loss: 1.4571
Epoch [   18/   20] | d_loss: 1.2106 | g_loss: 1.0367
Epoch [   18/   20] | d_loss: 1.1750 | g_loss: 1.3860
Epoch [   18/   20] | d_loss: 1.2813 | g_loss: 0.9883
Epoch [   18/   20] | d_loss: 1.3039 | g_loss: 1.2890
Epoch [   18/   20] | d_loss: 1.2024 | g_loss: 1.1806
Epoch [   19/   20] | d_loss: 1.1890 | g_loss: 1.2751
Epoch [   19/   20] | d_loss: 1.1609 | g_loss: 1.1771
Epoch [   19/   20] | d_loss: 1.1522 | g_loss: 1.2394
Epoch [   19/   20] | d_loss: 1.2432 | g_loss: 1.1379
Epoch [   19/   20] | d_loss: 1.1664 | g_loss: 1.2455
Epoch [   19/   20] | d_loss: 1.2232 | g_loss: 1.0240
Epoch [   19/   20] | d_loss: 1.1472 | g_loss: 1.1211
Epoch [   19/   20] | d_loss: 1.2698 | g_loss: 0.9070
Epoch [   19/   20] | d_loss: 1.2462 | g_loss: 1.2770
Epoch [   19/   20] | d_loss: 1.1749 | g_loss: 1.0699
Epoch [   19/   20] | d_loss: 1.2820 | g_loss: 0.9972
Epoch [   19/   20] | d_loss: 1.2308 | g_loss: 0.9905
Epoch [   19/   20] | d_loss: 1.1680 | g_loss: 1.2247
Epoch [   19/   20] | d_loss: 1.2240 | g_loss: 1.1364
Epoch [   19/   20] | d_loss: 1.1886 | g_loss: 1.1068
Epoch [   20/   20] | d_loss: 1.2329 | g_loss: 1.1928
Epoch [   20/   20] | d_loss: 1.1763 | g_loss: 1.1442
Epoch [   20/   20] | d_loss: 1.2133 | g_loss: 1.1416
Epoch [   20/   20] | d_loss: 1.2188 | g_loss: 0.8780
Epoch [   20/   20] | d_loss: 1.2003 | g_loss: 1.1898
Epoch [   20/   20] | d_loss: 1.1876 | g_loss: 0.9678
Epoch [   20/   20] | d_loss: 1.2575 | g_loss: 0.7894
Epoch [   20/   20] | d_loss: 1.2970 | g_loss: 1.2814
Epoch [   20/   20] | d_loss: 1.2256 | g_loss: 0.9940
Epoch [   20/   20] | d_loss: 1.1666 | g_loss: 1.3278
Epoch [   20/   20] | d_loss: 1.1916 | g_loss: 1.1175
Epoch [   20/   20] | d_loss: 1.2156 | g_loss: 1.0072
Epoch [   20/   20] | d_loss: 1.2069 | g_loss: 1.0545
Epoch [   20/   20] | d_loss: 1.2026 | g_loss: 1.0656
Epoch [   20/   20] | d_loss: 1.2314 | g_loss: 1.0031
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<h2 id="Training-loss">Training loss<a class="anchor-link" href="#Training-loss">&#182;</a></h2><p>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;[65]:</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 0x7f769c520748&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>View samples of images from the generator, and answer a question about the strengths and weaknesses of your trained models.</p>

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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="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>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Load samples from generator, taken while training</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;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">samples</span> <span class="o">=</span> <span class="n">pkl</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[68]:</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>
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<h3 id="Question:-What-do-you-notice-about-your-generated-samples-and-how-might-you-improve-this-model?">Question: What do you notice about your generated samples and how might you improve this model?<a class="anchor-link" href="#Question:-What-do-you-notice-about-your-generated-samples-and-how-might-you-improve-this-model?">&#182;</a></h3><p>When you answer this question, consider the following factors:</p>
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<li>The dataset is biased; it is made of "celebrity" faces that are mostly white</li>
<li>Model size; larger models have the opportunity to learn more features in a data feature space</li>
<li>Optimization strategy; optimizers and number of epochs affect your final result</li>
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<p><strong>Answer:</strong></p>
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<li>A human face contains multiple features and some of the features are very complicated such as frekles and facial hair,Inorder to generate proper images we might need images with high resolution for training.</li>
<li>Provided with the high resolution images for training we might need to build a better and a deeper model for better accuracies.</li>
<li>In this exercise i have used Generator with 4 Transpose Convolution layers and Discriminator with 4 Convolution layers. Based on the input image we can further increase the depth and number of layers of the model.</li>
<li>A deeper model with high resolution training data can result in better results as the samples generated in this exercise with 4 layers are not upto the mark,increasing the resolution can surely help us improve the model and capture more features precisely.</li>
<li>The samples generated can be further improved by tweaking the parameters such as learning rate,batch size and training for more number of epochs.In this exercise after training for 20 epochs i didn't find any major improvement during the training process.The loss of the generator is fluctuating and is not decreasing.Im not sure wheather loss is the correct measure for a better model.</li>
<li>The CelebA data mostly contains the images of different celebrities at different angles and lighting conditions.The model may perform better if trained on the data with faces at the same angle and position</li>
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<h3 id="Submitting-This-Project">Submitting This Project<a class="anchor-link" href="#Submitting-This-Project">&#182;</a></h3><p>When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -&gt; "Download as". Include the "problem_unittests.py" files in your submission.</p>

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