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="c1"># !unzip processed_celeba_small.zip</span>
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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>
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<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">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="n">image_size</span><span class="p">),</span>
                                   <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">()])</span> 
    <span class="n">image_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">data_dir</span><span class="p">,</span> <span class="n">transform</span><span class="p">)</span>
    <span class="k">return</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">image_dataset</span><span class="p">,</span> <span class="n">batch_size</span> <span class="o">=</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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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="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="nb">min</span><span class="p">,</span> <span class="nb">max</span> <span class="o">=</span> <span class="n">feature_range</span>
    <span class="k">return</span> <span class="n">x</span> <span class="o">*</span> <span class="p">(</span><span class="nb">max</span> <span class="o">-</span> <span class="nb">min</span><span class="p">)</span> <span class="o">+</span> <span class="nb">min</span>
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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(-0.9529)
Max:  tensor(0.9529)
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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_layer</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Conv2d</span><span class="p">(</span><span class="n">in_channels</span><span class="o">=</span><span class="n">in_channels</span><span class="p">,</span> <span class="n">out_channels</span><span class="o">=</span><span class="n">out_channels</span><span class="p">,</span>
                       <span class="n">kernel_size</span> <span class="o">=</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">stride</span> <span class="o">=</span> <span class="n">stride</span><span class="p">,</span> <span class="n">padding</span> <span class="o">=</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_layer</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="sd">&quot;&quot;&quot;</span>
<span class="sd">        Initialize the Discriminator Module</span>
<span class="sd">        :param conv_dim: The depth of the first convolutional layer</span>
<span class="sd">        &quot;&quot;&quot;</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="c1"># (16, 16, conv_dim)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv2</span> <span class="o">=</span> <span class="n">conv</span><span class="p">(</span><span class="n">conv_dim</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span> <span class="c1"># (8, 8, conv_dim*2)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">conv3</span> <span class="o">=</span> <span class="n">conv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span> <span class="c1"># (4, 4, conv_dim*4)</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="c1"># (2, 2, conv_dim*8)</span>
        
        <span class="bp">self</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">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="sd">&quot;&quot;&quot;</span>
<span class="sd">        Forward propagation of the neural network</span>
<span class="sd">        :param x: The input to the neural network     </span>
<span class="sd">        :return: Discriminator logits; the output of the neural network</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="c1"># define feedforward behavior</span>
        <span class="c1"># Leaky ReLU can have an advantage over ReLU </span>
        <span class="c1"># https://www.reddit.com/r/MachineLearning/comments/4znzvo/what_are_the_advantages_of_relu_over_the/</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv1</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv2</span><span class="p">(</span><span class="n">out</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv3</span><span class="p">(</span><span class="n">out</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">leaky_relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">conv4</span><span class="p">(</span><span class="n">out</span><span class="p">),</span> <span class="mf">0.2</span><span class="p">)</span>
        
        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">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">classifier</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">out</span>


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<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">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">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">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="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="sd">&quot;&quot;&quot;</span>
<span class="sd">        Initialize the Generator Module</span>
<span class="sd">        :param z_size: The length of the input latent vector, z</span>
<span class="sd">        :param conv_dim: The depth of the inputs to the *last* transpose convolutional layer</span>
<span class="sd">        &quot;&quot;&quot;</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">t_conv1</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">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">t_conv2</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">4</span><span class="p">,</span> <span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">t_conv3</span> <span class="o">=</span> <span class="n">deconv</span><span class="p">(</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="n">conv_dim</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">t_conv4</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="sd">&quot;&quot;&quot;</span>
<span class="sd">        Forward propagation of the neural network</span>
<span class="sd">        :param x: The input to the neural network     </span>
<span class="sd">        :return: A 32x32x3 Tensor image as output</span>
<span class="sd">        &quot;&quot;&quot;</span>
        <span class="c1"># define feedforward behavior</span>
        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">fc</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">out</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">conv_dim</span><span class="o">*</span><span class="mi">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="c1"># (batch_size, depth, 4, 4)</span>
        
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_conv1</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_conv2</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">t_conv3</span><span class="p">(</span><span class="n">out</span><span class="p">))</span>
        
        <span class="c1"># last layer: tanh activation instead of relu</span>
        <span class="n">out</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_conv4</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
        <span class="n">out</span> <span class="o">=</span> <span class="n">F</span><span class="o">.</span><span class="n">tanh</span><span class="p">(</span><span class="n">out</span><span class="p">)</span>
        
        <span class="k">return</span> <span class="n">out</span>

<span class="sd">&quot;&quot;&quot;</span>
<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">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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<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="kn">from</span> <span class="nn">torch.nn</span> <span class="k">import</span> <span class="n">init</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="sd">&quot;&quot;&quot;</span>
<span class="sd">    Applies initial weights to certain layers in a model: convolutional and linear</span>
<span class="sd">    The weights are taken from a normal distribution </span>
<span class="sd">    with mean = 0, std dev = 0.02.</span>
<span class="sd">    :param m: A module or layer in a network    </span>
<span class="sd">    &quot;&quot;&quot;</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="n">isConvolution</span> <span class="o">=</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="n">isLinear</span> <span class="o">=</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="k">if</span> <span class="p">(</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="n">isConvolution</span> <span class="ow">or</span> <span class="n">isLinear</span><span class="p">):</span>
        <span class="n">init</span><span class="o">.</span><span class="n">normal_</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="p">,</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mf">0.02</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="sd">DON&#39;T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
<span class="sd">&quot;&quot;&quot;</span>
<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">64</span>
<span class="n">g_conv_dim</span> <span class="o">=</span> <span class="mi">64</span>
<span class="n">z_size</span> <span class="o">=</span> <span class="mi">100</span>

<span class="sd">&quot;&quot;&quot;</span>
<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, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
  )
  (conv2): Sequential(
    (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (conv3): Sequential(
    (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (conv4): Sequential(
    (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (classifier): Linear(in_features=2048, out_features=1, bias=True)
)

Generator(
  (fc): Linear(in_features=100, out_features=2048, bias=True)
  (t_conv1): Sequential(
    (0): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (t_conv2): 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)
  )
  (t_conv3): Sequential(
    (0): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False)
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
  )
  (t_conv4): Sequential(
    (0): ConvTranspose2d(64, 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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<hr>
<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="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="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>
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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="n">lr</span> <span class="o">=</span> <span class="mf">0.0002</span>
<span class="n">beta1</span><span class="o">=</span><span class="mf">0.5</span>
<span class="n">beta2</span><span class="o">=</span><span class="mf">0.999</span> <span class="c1"># default value</span>

<span class="c1"># Create optimizers for the discriminator 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="p">,</span> <span class="p">[</span><span class="n">beta1</span><span class="p">,</span> <span class="n">beta2</span><span class="p">])</span>
<span class="n">g_optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">G</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="p">,</span> <span class="p">[</span><span class="n">beta1</span><span class="p">,</span> <span class="n">beta2</span><span class="p">])</span>
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<h2 id="Training">Training<a class="anchor-link" href="#Training">&#182;</a></h2><p>Training will involve alternating between training the discriminator and the generator. 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="c1"># 1. Train the discriminator on real and fake images</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="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="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="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="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="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="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="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;[21]:</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>

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<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: 1.4059 | g_loss: 1.3109
Epoch [    1/   20] | d_loss: 0.1081 | g_loss: 5.2877
Epoch [    1/   20] | d_loss: 0.0110 | g_loss: 7.4663
Epoch [    1/   20] | d_loss: 0.2170 | g_loss: 3.0157
Epoch [    1/   20] | d_loss: 0.1484 | g_loss: 4.3125
Epoch [    1/   20] | d_loss: 0.4347 | g_loss: 2.5226
Epoch [    1/   20] | d_loss: 1.3806 | g_loss: 3.2941
Epoch [    1/   20] | d_loss: 1.7367 | g_loss: 1.5031
Epoch [    1/   20] | d_loss: 0.5766 | g_loss: 3.1279
Epoch [    1/   20] | d_loss: 0.4899 | g_loss: 3.3870
Epoch [    1/   20] | d_loss: 0.7385 | g_loss: 3.1764
Epoch [    1/   20] | d_loss: 1.1602 | g_loss: 1.4851
Epoch [    1/   20] | d_loss: 0.7422 | g_loss: 2.3896
Epoch [    1/   20] | d_loss: 0.6675 | g_loss: 2.6250
Epoch [    1/   20] | d_loss: 0.4023 | g_loss: 2.8351
Epoch [    2/   20] | d_loss: 0.6368 | g_loss: 3.7055
Epoch [    2/   20] | d_loss: 0.5012 | g_loss: 3.7726
Epoch [    2/   20] | d_loss: 0.5677 | g_loss: 2.8561
Epoch [    2/   20] | d_loss: 0.6127 | g_loss: 2.0760
Epoch [    2/   20] | d_loss: 1.9662 | g_loss: 2.6904
Epoch [    2/   20] | d_loss: 0.5793 | g_loss: 3.6735
Epoch [    2/   20] | d_loss: 0.7292 | g_loss: 2.9687
Epoch [    2/   20] | d_loss: 0.5025 | g_loss: 3.3954
Epoch [    2/   20] | d_loss: 0.4526 | g_loss: 3.0430
Epoch [    2/   20] | d_loss: 1.0016 | g_loss: 2.5370
Epoch [    2/   20] | d_loss: 0.9535 | g_loss: 3.9570
Epoch [    2/   20] | d_loss: 0.4839 | g_loss: 2.7693
Epoch [    2/   20] | d_loss: 0.6157 | g_loss: 2.2360
Epoch [    2/   20] | d_loss: 0.6068 | g_loss: 2.1847
Epoch [    2/   20] | d_loss: 0.6471 | g_loss: 3.5340
Epoch [    3/   20] | d_loss: 0.9242 | g_loss: 4.3427
Epoch [    3/   20] | d_loss: 0.5691 | g_loss: 2.8415
Epoch [    3/   20] | d_loss: 0.6543 | g_loss: 3.8269
Epoch [    3/   20] | d_loss: 1.1250 | g_loss: 0.8706
Epoch [    3/   20] | d_loss: 1.8238 | g_loss: 1.9686
Epoch [    3/   20] | d_loss: 0.6343 | g_loss: 1.8965
Epoch [    3/   20] | d_loss: 0.6791 | g_loss: 2.0654
Epoch [    3/   20] | d_loss: 0.6503 | g_loss: 3.0561
Epoch [    3/   20] | d_loss: 0.5509 | g_loss: 2.9031
Epoch [    3/   20] | d_loss: 1.0060 | g_loss: 2.1152
Epoch [    3/   20] | d_loss: 0.6039 | g_loss: 2.4061
Epoch [    3/   20] | d_loss: 0.8168 | g_loss: 2.6109
Epoch [    3/   20] | d_loss: 0.7635 | g_loss: 2.1394
Epoch [    3/   20] | d_loss: 0.4738 | g_loss: 2.9246
Epoch [    3/   20] | d_loss: 0.9400 | g_loss: 3.4477
Epoch [    4/   20] | d_loss: 0.6489 | g_loss: 2.3327
Epoch [    4/   20] | d_loss: 0.8811 | g_loss: 1.9364
Epoch [    4/   20] | d_loss: 1.3330 | g_loss: 3.1145
Epoch [    4/   20] | d_loss: 0.8200 | g_loss: 2.4087
Epoch [    4/   20] | d_loss: 0.8719 | g_loss: 3.0706
Epoch [    4/   20] | d_loss: 0.5819 | g_loss: 2.3240
Epoch [    4/   20] | d_loss: 0.7346 | g_loss: 3.4717
Epoch [    4/   20] | d_loss: 0.6415 | g_loss: 3.3541
Epoch [    4/   20] | d_loss: 0.8744 | g_loss: 3.1961
Epoch [    4/   20] | d_loss: 0.7433 | g_loss: 1.6344
Epoch [    4/   20] | d_loss: 0.8855 | g_loss: 1.6906
Epoch [    4/   20] | d_loss: 0.5564 | g_loss: 2.0312
Epoch [    4/   20] | d_loss: 0.7054 | g_loss: 2.5474
Epoch [    4/   20] | d_loss: 1.0422 | g_loss: 3.7504
Epoch [    4/   20] | d_loss: 0.5229 | g_loss: 2.6231
Epoch [    5/   20] | d_loss: 0.5523 | g_loss: 2.5293
Epoch [    5/   20] | d_loss: 1.4971 | g_loss: 1.6449
Epoch [    5/   20] | d_loss: 0.8786 | g_loss: 3.0596
Epoch [    5/   20] | d_loss: 0.5320 | g_loss: 2.8411
Epoch [    5/   20] | d_loss: 1.1235 | g_loss: 3.9249
Epoch [    5/   20] | d_loss: 0.6090 | g_loss: 3.5078
Epoch [    5/   20] | d_loss: 0.5969 | g_loss: 2.2518
Epoch [    5/   20] | d_loss: 0.6134 | g_loss: 2.5735
Epoch [    5/   20] | d_loss: 0.9316 | g_loss: 2.7752
Epoch [    5/   20] | d_loss: 0.8311 | g_loss: 3.0070
Epoch [    5/   20] | d_loss: 0.9524 | g_loss: 1.5402
Epoch [    5/   20] | d_loss: 0.6928 | g_loss: 2.4056
Epoch [    5/   20] | d_loss: 1.0746 | g_loss: 0.9429
Epoch [    5/   20] | d_loss: 0.7284 | g_loss: 2.2478
Epoch [    5/   20] | d_loss: 0.5104 | g_loss: 2.2630
Epoch [    6/   20] | d_loss: 0.7605 | g_loss: 1.2872
Epoch [    6/   20] | d_loss: 0.6979 | g_loss: 1.9990
Epoch [    6/   20] | d_loss: 0.6723 | g_loss: 2.0542
Epoch [    6/   20] | d_loss: 0.6199 | g_loss: 1.5275
Epoch [    6/   20] | d_loss: 0.8006 | g_loss: 2.8536
Epoch [    6/   20] | d_loss: 0.7847 | g_loss: 2.8299
Epoch [    6/   20] | d_loss: 0.7199 | g_loss: 3.4688
Epoch [    6/   20] | d_loss: 0.7716 | g_loss: 1.6801
Epoch [    6/   20] | d_loss: 0.7469 | g_loss: 1.9454
Epoch [    6/   20] | d_loss: 0.8396 | g_loss: 2.1992
Epoch [    6/   20] | d_loss: 0.6328 | g_loss: 1.7320
Epoch [    6/   20] | d_loss: 0.7794 | g_loss: 1.6797
Epoch [    6/   20] | d_loss: 0.6666 | g_loss: 1.7526
Epoch [    6/   20] | d_loss: 0.9020 | g_loss: 1.7410
Epoch [    6/   20] | d_loss: 0.9151 | g_loss: 3.2825
Epoch [    7/   20] | d_loss: 0.5937 | g_loss: 2.1291
Epoch [    7/   20] | d_loss: 0.7031 | g_loss: 2.8880
Epoch [    7/   20] | d_loss: 0.7738 | g_loss: 2.8148
Epoch [    7/   20] | d_loss: 0.7232 | g_loss: 2.1023
Epoch [    7/   20] | d_loss: 1.0883 | g_loss: 3.6945
Epoch [    7/   20] | d_loss: 0.5821 | g_loss: 2.6180
Epoch [    7/   20] | d_loss: 1.6991 | g_loss: 2.8507
Epoch [    7/   20] | d_loss: 0.6530 | g_loss: 1.4059
Epoch [    7/   20] | d_loss: 0.7818 | g_loss: 2.0190
Epoch [    7/   20] | d_loss: 0.7703 | g_loss: 2.2575
Epoch [    7/   20] | d_loss: 0.8747 | g_loss: 1.8351
Epoch [    7/   20] | d_loss: 0.7681 | g_loss: 2.3952
Epoch [    7/   20] | d_loss: 0.7294 | g_loss: 1.6237
Epoch [    7/   20] | d_loss: 0.8611 | g_loss: 2.7072
Epoch [    7/   20] | d_loss: 0.6181 | g_loss: 2.2041
Epoch [    8/   20] | d_loss: 0.8496 | g_loss: 2.6702
Epoch [    8/   20] | d_loss: 0.6896 | g_loss: 2.6065
Epoch [    8/   20] | d_loss: 0.6665 | g_loss: 2.1607
Epoch [    8/   20] | d_loss: 0.6531 | g_loss: 1.4368
Epoch [    8/   20] | d_loss: 1.0452 | g_loss: 1.8496
Epoch [    8/   20] | d_loss: 0.7242 | g_loss: 1.7273
Epoch [    8/   20] | d_loss: 0.8285 | g_loss: 2.1670
Epoch [    8/   20] | d_loss: 0.8623 | g_loss: 3.2084
Epoch [    8/   20] | d_loss: 0.7730 | g_loss: 3.3431
Epoch [    8/   20] | d_loss: 0.6215 | g_loss: 2.2722
Epoch [    8/   20] | d_loss: 0.8551 | g_loss: 1.4282
Epoch [    8/   20] | d_loss: 0.6788 | g_loss: 2.3042
Epoch [    8/   20] | d_loss: 0.8550 | g_loss: 1.2500
Epoch [    8/   20] | d_loss: 1.3265 | g_loss: 0.7982
Epoch [    8/   20] | d_loss: 0.6788 | g_loss: 1.4156
Epoch [    9/   20] | d_loss: 0.6899 | g_loss: 1.7074
Epoch [    9/   20] | d_loss: 0.6557 | g_loss: 2.4780
Epoch [    9/   20] | d_loss: 0.6069 | g_loss: 2.2513
Epoch [    9/   20] | d_loss: 1.0172 | g_loss: 0.6975
Epoch [    9/   20] | d_loss: 1.0921 | g_loss: 2.4729
Epoch [    9/   20] | d_loss: 0.6342 | g_loss: 2.0394
Epoch [    9/   20] | d_loss: 0.7887 | g_loss: 2.5869
Epoch [    9/   20] | d_loss: 0.6518 | g_loss: 2.5426
Epoch [    9/   20] | d_loss: 0.6858 | g_loss: 2.8258
Epoch [    9/   20] | d_loss: 0.9157 | g_loss: 1.7278
Epoch [    9/   20] | d_loss: 0.5711 | g_loss: 2.4688
Epoch [    9/   20] | d_loss: 0.6191 | g_loss: 2.9675
Epoch [    9/   20] | d_loss: 0.5914 | g_loss: 2.2415
Epoch [    9/   20] | d_loss: 0.7441 | g_loss: 1.7761
Epoch [    9/   20] | d_loss: 0.7651 | g_loss: 1.3145
Epoch [   10/   20] | d_loss: 0.7189 | g_loss: 2.3892
Epoch [   10/   20] | d_loss: 0.7276 | g_loss: 1.6430
Epoch [   10/   20] | d_loss: 0.6872 | g_loss: 2.2619
Epoch [   10/   20] | d_loss: 0.8816 | g_loss: 2.1903
Epoch [   10/   20] | d_loss: 0.7811 | g_loss: 2.9894
Epoch [   10/   20] | d_loss: 0.5120 | g_loss: 2.1229
Epoch [   10/   20] | d_loss: 0.7384 | g_loss: 2.5802
Epoch [   10/   20] | d_loss: 0.5734 | g_loss: 2.7393
Epoch [   10/   20] | d_loss: 0.7593 | g_loss: 2.6626
Epoch [   10/   20] | d_loss: 0.8039 | g_loss: 2.4928
Epoch [   10/   20] | d_loss: 0.5772 | g_loss: 2.4154
Epoch [   10/   20] | d_loss: 1.0328 | g_loss: 2.7694
Epoch [   10/   20] | d_loss: 0.7800 | g_loss: 2.2935
Epoch [   10/   20] | d_loss: 0.5341 | g_loss: 2.2683
Epoch [   10/   20] | d_loss: 1.1114 | g_loss: 0.6213
Epoch [   11/   20] | d_loss: 0.9305 | g_loss: 3.3544
Epoch [   11/   20] | d_loss: 0.6697 | g_loss: 3.7060
Epoch [   11/   20] | d_loss: 0.7871 | g_loss: 1.9959
Epoch [   11/   20] | d_loss: 1.0311 | g_loss: 0.4555
Epoch [   11/   20] | d_loss: 0.7757 | g_loss: 1.4040
Epoch [   11/   20] | d_loss: 0.6809 | g_loss: 1.1396
Epoch [   11/   20] | d_loss: 0.8730 | g_loss: 3.8123
Epoch [   11/   20] | d_loss: 0.4699 | g_loss: 2.0573
Epoch [   11/   20] | d_loss: 0.6461 | g_loss: 1.6729
Epoch [   11/   20] | d_loss: 0.7182 | g_loss: 2.0835
Epoch [   11/   20] | d_loss: 0.5857 | g_loss: 2.6350
Epoch [   11/   20] | d_loss: 2.0778 | g_loss: 4.1502
Epoch [   11/   20] | d_loss: 1.0518 | g_loss: 4.1013
Epoch [   11/   20] | d_loss: 0.4869 | g_loss: 2.5050
Epoch [   11/   20] | d_loss: 0.5185 | g_loss: 1.4594
Epoch [   12/   20] | d_loss: 1.5066 | g_loss: 4.0688
Epoch [   12/   20] | d_loss: 0.7351 | g_loss: 1.5502
Epoch [   12/   20] | d_loss: 0.8878 | g_loss: 2.5112
Epoch [   12/   20] | d_loss: 0.7634 | g_loss: 2.6888
Epoch [   12/   20] | d_loss: 0.4942 | g_loss: 2.0673
Epoch [   12/   20] | d_loss: 0.9337 | g_loss: 1.5190
Epoch [   12/   20] | d_loss: 0.5780 | g_loss: 1.8283
Epoch [   12/   20] | d_loss: 0.5536 | g_loss: 2.4450
Epoch [   12/   20] | d_loss: 0.6466 | g_loss: 1.9780
Epoch [   12/   20] | d_loss: 0.6086 | g_loss: 2.4502
Epoch [   12/   20] | d_loss: 0.5181 | g_loss: 1.7846
Epoch [   12/   20] | d_loss: 0.5618 | g_loss: 2.6012
Epoch [   12/   20] | d_loss: 0.6465 | g_loss: 2.2701
Epoch [   12/   20] | d_loss: 0.6391 | g_loss: 1.6461
Epoch [   12/   20] | d_loss: 0.6386 | g_loss: 1.6200
Epoch [   13/   20] | d_loss: 0.5032 | g_loss: 1.7023
Epoch [   13/   20] | d_loss: 0.7433 | g_loss: 3.7519
Epoch [   13/   20] | d_loss: 0.9919 | g_loss: 0.6404
Epoch [   13/   20] | d_loss: 0.6190 | g_loss: 1.8458
Epoch [   13/   20] | d_loss: 1.0458 | g_loss: 4.3215
Epoch [   13/   20] | d_loss: 0.8702 | g_loss: 1.2841
Epoch [   13/   20] | d_loss: 0.9404 | g_loss: 1.4791
Epoch [   13/   20] | d_loss: 0.6988 | g_loss: 2.1295
Epoch [   13/   20] | d_loss: 0.8754 | g_loss: 3.5844
Epoch [   13/   20] | d_loss: 1.2611 | g_loss: 0.7181
Epoch [   13/   20] | d_loss: 0.5550 | g_loss: 1.9749
Epoch [   13/   20] | d_loss: 0.8124 | g_loss: 3.2252
Epoch [   13/   20] | d_loss: 0.7492 | g_loss: 2.3018
Epoch [   13/   20] | d_loss: 0.5870 | g_loss: 2.7010
Epoch [   13/   20] | d_loss: 0.4369 | g_loss: 1.6904
Epoch [   14/   20] | d_loss: 1.3577 | g_loss: 3.8139
Epoch [   14/   20] | d_loss: 0.3381 | g_loss: 2.5645
Epoch [   14/   20] | d_loss: 1.0843 | g_loss: 1.4597
Epoch [   14/   20] | d_loss: 0.3584 | g_loss: 2.7326
Epoch [   14/   20] | d_loss: 0.6039 | g_loss: 2.3716
Epoch [   14/   20] | d_loss: 0.4861 | g_loss: 2.9818
Epoch [   14/   20] | d_loss: 0.5311 | g_loss: 1.9661
Epoch [   14/   20] | d_loss: 0.7645 | g_loss: 3.7097
Epoch [   14/   20] | d_loss: 0.4891 | g_loss: 2.0275
Epoch [   14/   20] | d_loss: 0.7092 | g_loss: 2.9276
Epoch [   14/   20] | d_loss: 0.5231 | g_loss: 2.6390
Epoch [   14/   20] | d_loss: 0.4946 | g_loss: 1.6509
Epoch [   14/   20] | d_loss: 0.6218 | g_loss: 1.9249
Epoch [   14/   20] | d_loss: 1.0826 | g_loss: 3.8860
Epoch [   14/   20] | d_loss: 0.5487 | g_loss: 2.8666
Epoch [   15/   20] | d_loss: 0.9985 | g_loss: 0.7909
Epoch [   15/   20] | d_loss: 0.5043 | g_loss: 2.1324
Epoch [   15/   20] | d_loss: 0.5257 | g_loss: 2.2333
Epoch [   15/   20] | d_loss: 0.6906 | g_loss: 2.7568
Epoch [   15/   20] | d_loss: 0.7368 | g_loss: 3.5625
Epoch [   15/   20] | d_loss: 0.3603 | g_loss: 2.6636
Epoch [   15/   20] | d_loss: 0.9962 | g_loss: 1.9312
Epoch [   15/   20] | d_loss: 0.5845 | g_loss: 3.4240
Epoch [   15/   20] | d_loss: 0.5373 | g_loss: 1.3731
Epoch [   15/   20] | d_loss: 0.3858 | g_loss: 2.2495
Epoch [   15/   20] | d_loss: 0.6072 | g_loss: 2.1380
Epoch [   15/   20] | d_loss: 0.7842 | g_loss: 3.8276
Epoch [   15/   20] | d_loss: 1.0494 | g_loss: 3.8372
Epoch [   15/   20] | d_loss: 0.5362 | g_loss: 3.0046
Epoch [   15/   20] | d_loss: 0.7866 | g_loss: 3.3214
Epoch [   16/   20] | d_loss: 0.4998 | g_loss: 2.8240
Epoch [   16/   20] | d_loss: 0.4951 | g_loss: 1.6420
Epoch [   16/   20] | d_loss: 0.3765 | g_loss: 2.7511
Epoch [   16/   20] | d_loss: 0.4989 | g_loss: 2.8764
Epoch [   16/   20] | d_loss: 0.4476 | g_loss: 2.1470
Epoch [   16/   20] | d_loss: 0.2657 | g_loss: 2.4766
Epoch [   16/   20] | d_loss: 0.5934 | g_loss: 4.2893
Epoch [   16/   20] | d_loss: 0.5351 | g_loss: 3.2332
Epoch [   16/   20] | d_loss: 0.3863 | g_loss: 2.5861
Epoch [   16/   20] | d_loss: 0.5575 | g_loss: 2.6624
Epoch [   16/   20] | d_loss: 0.3224 | g_loss: 1.6049
Epoch [   16/   20] | d_loss: 0.5935 | g_loss: 2.1587
Epoch [   16/   20] | d_loss: 0.4075 | g_loss: 2.2925
Epoch [   16/   20] | d_loss: 0.5983 | g_loss: 1.5956
Epoch [   16/   20] | d_loss: 0.3121 | g_loss: 2.6350
Epoch [   17/   20] | d_loss: 0.4994 | g_loss: 2.4985
Epoch [   17/   20] | d_loss: 0.9602 | g_loss: 3.0107
Epoch [   17/   20] | d_loss: 0.8172 | g_loss: 1.1201
Epoch [   17/   20] | d_loss: 0.3917 | g_loss: 1.6953
Epoch [   17/   20] | d_loss: 0.3638 | g_loss: 2.4522
Epoch [   17/   20] | d_loss: 0.6910 | g_loss: 3.2924
Epoch [   17/   20] | d_loss: 0.5224 | g_loss: 2.5622
Epoch [   17/   20] | d_loss: 0.4524 | g_loss: 2.8402
Epoch [   17/   20] | d_loss: 0.6247 | g_loss: 1.6726
Epoch [   17/   20] | d_loss: 0.3252 | g_loss: 2.2321
Epoch [   17/   20] | d_loss: 0.9759 | g_loss: 4.1558
Epoch [   17/   20] | d_loss: 0.4855 | g_loss: 3.5417
Epoch [   17/   20] | d_loss: 0.4649 | g_loss: 3.8522
Epoch [   17/   20] | d_loss: 0.8385 | g_loss: 4.6940
Epoch [   17/   20] | d_loss: 0.3505 | g_loss: 2.8872
Epoch [   18/   20] | d_loss: 0.4005 | g_loss: 3.0651
Epoch [   18/   20] | d_loss: 2.2986 | g_loss: 0.2664
Epoch [   18/   20] | d_loss: 0.1894 | g_loss: 3.9788
Epoch [   18/   20] | d_loss: 0.5005 | g_loss: 2.9137
Epoch [   18/   20] | d_loss: 0.6690 | g_loss: 3.6762
Epoch [   18/   20] | d_loss: 0.4702 | g_loss: 2.6572
Epoch [   18/   20] | d_loss: 0.4317 | g_loss: 3.4526
Epoch [   18/   20] | d_loss: 0.3581 | g_loss: 2.6729
Epoch [   18/   20] | d_loss: 0.5340 | g_loss: 1.7137
Epoch [   18/   20] | d_loss: 0.4162 | g_loss: 1.4925
Epoch [   18/   20] | d_loss: 0.4551 | g_loss: 2.0581
Epoch [   18/   20] | d_loss: 0.4097 | g_loss: 1.5935
Epoch [   18/   20] | d_loss: 0.6151 | g_loss: 1.7488
Epoch [   18/   20] | d_loss: 0.4654 | g_loss: 3.9223
Epoch [   18/   20] | d_loss: 0.2006 | g_loss: 2.6570
Epoch [   19/   20] | d_loss: 0.2685 | g_loss: 2.0219
Epoch [   19/   20] | d_loss: 0.3614 | g_loss: 2.0524
Epoch [   19/   20] | d_loss: 0.4905 | g_loss: 2.7892
Epoch [   19/   20] | d_loss: 0.3433 | g_loss: 2.5515
Epoch [   19/   20] | d_loss: 0.4362 | g_loss: 3.2875
Epoch [   19/   20] | d_loss: 0.5249 | g_loss: 3.3149
Epoch [   19/   20] | d_loss: 0.2571 | g_loss: 2.8534
Epoch [   19/   20] | d_loss: 0.9506 | g_loss: 0.9297
Epoch [   19/   20] | d_loss: 0.5134 | g_loss: 1.5438
Epoch [   19/   20] | d_loss: 0.3691 | g_loss: 2.8804
Epoch [   19/   20] | d_loss: 0.4555 | g_loss: 3.7354
Epoch [   19/   20] | d_loss: 0.5863 | g_loss: 1.9585
Epoch [   19/   20] | d_loss: 0.3285 | g_loss: 2.8059
Epoch [   19/   20] | d_loss: 0.5663 | g_loss: 2.1348
Epoch [   19/   20] | d_loss: 0.4001 | g_loss: 1.9647
Epoch [   20/   20] | d_loss: 0.9204 | g_loss: 2.1231
Epoch [   20/   20] | d_loss: 0.2160 | g_loss: 3.0409
Epoch [   20/   20] | d_loss: 0.2947 | g_loss: 2.1285
Epoch [   20/   20] | d_loss: 0.2854 | g_loss: 3.5320
Epoch [   20/   20] | d_loss: 0.3672 | g_loss: 1.2829
Epoch [   20/   20] | d_loss: 0.3793 | g_loss: 1.7503
Epoch [   20/   20] | d_loss: 0.5441 | g_loss: 4.3510
Epoch [   20/   20] | d_loss: 0.8772 | g_loss: 4.6577
Epoch [   20/   20] | d_loss: 1.7473 | g_loss: 4.9937
Epoch [   20/   20] | d_loss: 0.5888 | g_loss: 2.6560
Epoch [   20/   20] | d_loss: 0.4108 | g_loss: 2.2476
Epoch [   20/   20] | d_loss: 0.3282 | g_loss: 2.8978
Epoch [   20/   20] | d_loss: 0.3281 | g_loss: 3.0474
Epoch [   20/   20] | d_loss: 0.3482 | g_loss: 4.2283
Epoch [   20/   20] | d_loss: 0.5348 | g_loss: 3.6659
</pre>
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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;[22]:</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 0x7fe8af8cdd68&gt;</pre>
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MerXvUqVCoVfOUrX4k+ozKtr3/96/GVr3wFrusCUNLE1NRU6r7OOOMMDA0NRYbbdV3j4gaAYu8nnHACAOBf/uVfos95SVZALRr8ve99DwDw3e9+F1deeWUrpznn6ELDbWuVWFgcKxBC4I477sC9996LdevW4dJLL8U111yDv//7v8cHP/hBnH322bjoootw7rnn4kMf+lBmBEe5XMZtt92GT37yk7jggguwfv361AiRG2+8Ee985zvxspe9DCtWrIg+f8tb3oLbb789ck5+4QtfwDe/+U2cf/75+M53voObbrqp7degE+i+sq6HtgJb7gAWrQYuvqa9DbOweAHBlnXtXnS8rOucwzonLSwsLDLRvYbbOictLCwsjOg+w23rcVtYtA2dkEItZod23JPuM9yWcVtYtAW9vb0YHh62xruLIKXE8PAwent7Z7WfLozjpk5mO5uFxWywZs0aDA4OYlZlli3ajt7e3ii5qFV0oeG2jNvCoh0olUqpGYMWRze6UCqxtUosLCwsstCFhtuGA1pYWFhkoXsNt2XcFhYWFkZ0r+G2jNvCwsLCiO4z3LYet4WFhUUmus9wW8ZtYWFhkYm8a04uEULcJoR4WgixVQhxecdaFJV1tYbbwsLCwoS8cdw3Afi5lPIdQogygP6OtcgybgsLC4tMNDTcQohFAF4O4P0AIKWsAah1rEU2jtvCwsIiE3mkklMADAH4phDiUSHE14UQdWv6CCGuFUJsEkJsmlWKrWXcFhYWFpnIY7iLAC4C8BUp5YUApgB8St9ISnmzlHKDlHLDypUrW29RFMdtly6zsLCwMCGP4R4EMCilfCh8fxuUIe8MbDighYWFRSYaGm4p5QEAe4QQZ4QfvRrAUx1rkZVKLCwsLDKRN6rkegDfDSNKdgL4QMdaZFPeLSwsLDKRy3BLKR8DkGsRy1nD1uO2sLCwyEQXZk6Sxj2/zbCwsLDoVnSh4bYat4WFhUUWutdwW43bwsLCwojuNdyWcVtYWFgY0X2Gm8dxW9ZtYWFhUYfuM9w8Y9IabgsLC4s6dLfhtnKJhYWFRR260HBL8/8WFhYWFgC60nD7/M28NcPCwsKiW9GFhttq3BYWFhZZ6G7DbRm3hYWFRR2623Bbxm1hYWFRh+4z3IHVuC0sLCyy0H2GGxIQYbMs47awsLCoQ/cZbikBhwy3Xb7MwsLCQkd3Gm5i3FYqsbCwsKhD9xluK5VYWFhYZCLXCjhCiF0AJgD4ADwpZedWw5ESEAV607HDWFhYWBytyLvmJAC8Ukp5uGMtiWAZt4WFhUUWuksqoVKuVuO2sLCwSEVewy0B/I8QYrMQ4tqOtYYYtlNIvrewsLDoFuy6H9h+57w2Ia9UcoWUcp8QYhWAXwghnpZS3sc3CA36tQBw0kkntdic0FCL7poIWFhYWEQ4vH3eQ5VzWUgp5b7w9RCA2wFcatjmZinlBinlhpUrV7bWGqkZbsu4LSwsug3V8e433EKIASHEQvofwOsAPNmR1tDFEDYBx8LCogvhu0Btet5JZR6p5DgAtwshaPt/k1L+vDPN0aUSy7gtLCy6CJVx9TrPpLKh4ZZS7gRwwRy0xTonLSwsuhvVMfXa7VLJ3MIybgsLiy5GxLj97O06jO4y3HUatzXcFhYWXYRqd0glXWa4iXHblHcLixckDjwJ3PP/Al5tvltiRsVKJQaQ4RbhW2u4LSxeUNh1v3qtTc5vO9LQJc7J7jLcunPSMm4LixcWSDvu1iQ8K5UYYDVuC4sXNgJPvXZjDkcQMMY9v7apuwy3jSqxsHhhg9ac7UbDXZtU7Sr1zXv7ustw16W8d+HNs7Cw6BxIKgnmN9zOCJJJ+pbGlUznCd1luAnCJuBYWLwgEYRkrRtJG8kkfUvU6zy2sbsMt864rVRiYfHCAhnDeU5wMYJCAfuWqldruENY56SFhQXQvVJJqRco9qr389jG7jLcxLCdOW7WzAiwc6MdKCzmDkEQywIW9ehWqaRnUVf44LrLcOtSyTP/DRx4ovPHPbwdeP5BoDbV+WNZWADAzruBx2+d71a0jtoU4FY6t/9uNNx+TbHtKEHQGu4QWsp7ZQwYeb7zh/XD9Npu1NUsjk1UxmPN9GjEltuBZ3/Ruf13o1QiA2W0LePWoGvcwNwYUzLc3dhZLI5NyABHtfPdnensDLUbSZQMlG0yGe6xQWD/b+esKV1muA1rTs6FMfXduTuWhQUQxgF3oRyQF4EfPzftAvcxdeO1yTLc+x4DdtwzZ03pLsNtWix4Lm6glUosdEgJ7PkNMH2kQ/sPjm5nuPTj9PTZYuIgsOPu+DkEupNE1Rludv8CF/Cqc3ZPu8tw1xWZwtwa7m7sLBbzA3cGePYu4KGvqQey3ZBBd7LKvAjaaLgfvxXY/VCc4AJ0J4nK0rgDX73356YcbW7DLYQoCCEeFUL8uGOtiTRuEX82p1JJmzqixdEP3hcOhGtjj+5RC8W2A0e74ZZB+6QSet55KdduvDZSpksl1F/cmTlpSjOM+88AbO1UQxT0hRQwNyMvMapuHOUt5ge8L/jhFPi3/w7se7RN+z/KnZPtlEoKZfXKDXc3xrhHUkkhfk+ga+F1MESSIZfhFkKsAfAmAF/vaGvmzTlJUkkXdhaL+UGgT4NlKA+0iWUe7Yw7CNp3LQol9VqdiD/rShJFjJviuFkbu9FwA/g8gL8EkNrThBDXCiE2CSE2DQ0NtdicOXBOVieBI88lP6MpX1d2Fot5AWeT0mc1NNrUH492wy0DwG8T43YMhpsI2+Htaimzboh5z4oqiaSSLjHcQog3AzgkpdyctZ2U8mYp5QYp5YaVK1e21hqjc7LNxnTfo8AT3096fyPG3QUa9+HtwOju+W6FRYJNdcpwt2dXcw4KZZRtStsnqSTBuMP9HnhcvY7vz9euvY90br1KGQDIcE4CgNc9GvcVAN4qhNgF4HsAXiWE+NeOtMYolbSZlfi1cMrLNcwuiuN+4jbg0e/OdysseF/g7Lhd4V6dZtxBoCI12sWKE/vmg1ob5JJCUb1WDVElkZ6c49mcGVFlMoa3z75NJmQxbrIh3cK4pZT/t5RyjZRyLYB3A7hbSvmHnWmOSSppszGli03sOgjYckldYLgtugMdZ9wSHaXc43tVbPRokyUjfE+x2yzWatJ2Z4MsqYRm33lIFbWl3YlBhMw47u7UuOcGJsbdblYSGWy6yayDHnxK6WlzFNJj0SWQEtj1QPK+Jxh3p6SSnKuoTB8Bnv9Vk/sP29+sEXv4n4HN3wIGH87Yt4FpzgrhNahNK8dfochk05CN5xkgIlLWIQKWR+PuRsMtpdwopXxzpxpjrFXSzE0Y3a004izQ/miKxw03acszI/mP2SnYCJe5w/Qw8Nx9Sad1MAcad979DW0Ddt7bXCJQ1M+bYMRBAMyMqv/djHj1oM2Mm1+D8gKleddJJTmukz6bbjcaJeAAXRnHPQeYhXPSrSht+InbsreLGHcGI+Fx5J3CE7dlxwRnPTgW7UW0QK3GshP/h31zNhr3jruBp38a7qcJzbwVg0T7bUaDTsSuz6FUwgeC3rDedSSVOPXbpLarhet08Clg6nC+bdMScALmr+hGxt1xzCaOe8+vcx5DYyKmDurMgeEefb7eU84f4rmuDR74qrrZ0Vw/Iw9qU2rQTGRAkpHTWDagYozbxbgnDgKTB5P7ycUkM9jz1DDwyHfq2XgklTTDuPMa7jZLJXx/vYsVcWrFOdnKLOOZn+VPqko13Ox4L0jDbXRO5jQkE+EDUeqNP9v3GPDUj5Lb6Td3jmoL1MFU64G/51lkc4HR3YoNju+d2+PONXb/WslpfIEO0zqHdC8K5TgBh2/bChLRKc0Y7gztdvKAKimqxzlHv2mVcWf8LpGc1AHD7RTiz0jjntgP/OpL2YSmWcYtpTrPXGxexhq3oxtudg26JapkTmF0TuZk3GSAOcMY2wMMP5vcrs5wGzpepxMj0rLweFvmnHGTc6UDBZW6CSRBlfvjz/iUN/qMGHe5fc5Jk+HOE1mSZZCi/uybP2+GEedm3IaZyWyQkEoWa1JJyLgnDqioE9Lgje1q8h75bmiQcxpuIJtx9y8HFqzKd+xZojgnR8mLyDnJNW6pHqhG61AGrFAUbe+78c2hNNU6jdtgqDptuPU26J8Dc69xpxmAYw0kkRR64s+MjDv8rEiMux2GW4sN56+TQ8pJuurM+t8FGYyb9qkbn5YYN5dA5lMqceoDFeh5yDqfSNfPybibqQrKC+AJTXen15NfCrzo3HzHniW6i3GbpBIg34jIOxA34lImO2EejbvTOq8ekqh/Dsy9VBJdlw7FwHYL3HAmYzKiegggYGDcs+gbpkQeet27Gdj+3+m/A8wGKU1GkSkDsVdTpWpH96TvC2gglbQ5AYffi94lSakkao+XfM3aT17DTW3Psi9eLSR/bCDR47jpeM7c8eDuMtzRdERon+dgObyj0f/0yqf/dXHc4Wux3NzxZoM0mSZhuOfBOam34VgEMW49M5K/AgaNuw2M26SVc6Octu9MqcQwW+C/0ftYdULFhU8dMrcPAIo9cxtVQm3tXRyuol5gkT7aNck6XrMad1SjKOOePnWHysY0Gm7teC9Yw20KBwTyTWX8mupw9D9gjtUOtA5NF73InJrtMtyDm82aXBrj9tvk5KiMA0PPNPebVqIQjkbQlDvBuGX9Z4GvCIRTTNGmW0BU40M2abgzZKzoO93ApUglkS/I5Nshw92bbbgTWnibwgFXng5c/mGVfCMcJgFpM5xMqaTJBJw8VUGr42r2m8dwF16ohtuUgAPkl0rKA+p/ndEaGbfGMAuMcedNRa5OqEzLscH677wqsP1/VCaajjR2y9/Phsk88m3gyR80N60PmmQrRyPIKQxojNsQDih9xfycYhs17iA23PGH8fFaYtwNNG7dsOqGe/JQvA3tq9Qb+4ay2gO0SSqRSb+Wwxi3/iyO7wfu/QdzklzTjDvHkoV0700atz6recEybrpHuuHmD9TMSHKJI/peBkApjBTQ2fTEfhVoD9TrYIGnOgq/6HkfzpFd6nXvI/XfRXKNZ2BDDTTuYnl2BpRqPjRjZKI2HcMaN89q49fGKJWEDm4njCluSzhgmMiTODYNGrpB57/L0rhT2HiazyIy3DWl327+FnDwyeRvin3JQS6tPWltahbSTz7zomC+J4CKgw+8lJlsk3KfPmCZQAXpMhk3RcC8UA13bLm1j9nN23IHsO1nye+pM1KIl84qnn8AePrHYWfUjCZ1mlbWuaT9UyF4Dt559EI/jaSSYl97HohmIkSadew0glvpvggVUxEjIN056RRjvbWtjNswaJAj3YQsg9SQcacY7sCLK2VS0ghn3HzbtGMC7ZFKZJB8/oRIl0pI6soK422acWfc00jCyhEO+II13KY4boA9NFKlp07sT95QugElTSohtlGbVp3Nna5/CAL2gOrtaITohjUw3Ed2JL/Tnaf6b4o97TF6zVQ7jMIj2zFgBMD9n6sfYOcbLnP4ZoXmAepeiAJj3G10TpoYNx3D1PeytNu079KMPWfcEXnRzq3Yp173blZSStoxgfbM0AKNcTsFNkvVrgc57Y1hvAbJi383vCPpO8ojlUT3hTNuEQ4uuuGeg4zrEF1muJmOxLHldpXxVh1XF8mdSYbLkbGpY9xap61O1F/sSCppwXDTcUxOiQTj1kKvUpMmwoeg1Nec0U1DmpFxK8DgpuR5tjMckLIvDzfpIO00EmU4TYZbc046hTgZpJ2Zk0bGncIw+WdZ4YCpcdwpszoe4qb3R3Ly77rfLAPOJqrk8HYVpaHvjxOnLKmE/FXGMN600EipfD6P/wewd1P8eZ46/MS4paYG8DZmEbgOobsMd5pUMnUY2HGPCmMicCagM25KY9VvemW8vpMS425F46YbbypKRTdz0fFKlzM5SGWAurUNgZBxd1AqGd4ObP9F0sHTznDAIzvV6+ITZ7+vdiJhMPm1yXJOtlkq0TVu6EbZZLjzSCXa79LKunIZUQ+5o9+U+uLtTYlgUT8tN5+AM7wD2P+41tagnnGnSSWErKgY/Tp5lbhqKK9RE8VxZ0kl2mBL7Uww7he6xp0Wx02YaWC4iXEHnrmTV5hDgyfpOEVNnsnJuMkYGx+o8LOl69R58ciTRPSFzl30AAAgAElEQVSIIf68XRp3Gms3xZGnaaKtgAx3o2zXuUZLjDtkVo0MSa7jZzBu/rrvUeDhr9dv05RzMqU6IA+V1aWSyCCz0FhT0SQeNthsPyWJJpHEEyT7Ck95T3sWTaUZ0q4T35bLZY007shoS4PhZtmddI1fsIY7LXOSMD2iHIG9i5IJBHSjSkwqMRkg7onmnbZV5yStL2ditiTTLD1ZvU4cqD922v9tY9wZHbLu2Bmxws1i+nD79tVOmAwm/1+f/XAJTTdyrR6/TuPW7oUMVMW/yaF6eaYZ52SazyKSSmpsMNKYdyPGTe0q9TVf24aMJf+dzrhFq4y7gTwEJCOLGkkl/PpkGm6rcYf/ZDDu/mVAz8LklCeSSvoVW/dds1abkAa4xq07J3M+nNQJAtYBdD2y1B8yCIORBOpT9Z0iKyXaArsLUowTh2lK2S6NW0qWntxloYVSM8z657qUIgpxv8iTZZcFCvdLc05y2UKfEWUNqqmMOyVahft/dJlFGhi3aWGAKPqkv/kyptHAUY2PLQMtjpsZxVTD3YTGTccqlJIZyY2ck3wwbWS4nWK6UtABdJnhbiCVVMfjlFhT0fdCKUyYcM3REQmphBmvOo07p8GMDLenHH73fy6WCXiIkKMb7hQjHrG8Yv0Dnhfc257aIQ2Gu10ad7uSiDqBNI07LXOynYybDw4Jp7Am0yRCVrXBoqlwwBQHIpdKdKMfmBj3TLp+XuprviyyHqpL5+Zozsm0qJJoPwamz/swbzOx+74lyRlEI8bNB1M9cCJhuP05ZdtADsMthOgVQvxGCPFbIcQWIcTfdq45DQx3EISGsJC82GSkCyWVAWli3H1LUxi39oACyYfTq6nVsk03l9iG76oO4bvA1JBKaoh0XqaT6sfm/+9/XDlQCqWYfbRi+BJO0AZMwsS4Z8uSTcW+ugX84csTxy0KMcOaLeNu6BjlDmti3JoGa9S4U0Lg+PGMdXxqScPE21VklRMDv944R5JKC4yb+kTkHwqPKXSN2wOe/GH6M9CoHLNpVtu7RBEsumZZ99R3k9e/EeM25XJ0EHnU9CqAV0kpJ4UQJQD3CyF+JqXMueRME6AVJlK/5w4jE+MuqwtI5VwB5fn2asDC4zKkkoH0BYoPPK6WnIIETnpJsj0uK1hE+5seVmm5NCVzSvUDjck5+fRP1GvfEm2B1J5QFpJxSn8WvByM2ySVtEvjTrC7LmPcUS2cYg7GrYWJRoNQi87JtBrWur7OHaG+xvKznJO68Un0N264TVKJ7pxkjBtQ/Vw35sJRkopXQ2bZ5eqkMu4DK8LjavWDIoOopbwDaq3NJSmRSY2qekofkXnzGeOWgZpFlPuzpZInvo9IsuWzJJPhrk0lywTPARoybqlAQdOl8K8zdU9lELPtngXA8lOT3wcUouVoI2otLghEUgl18vIC9dq/QtuXzrj5GMZOj2qYjGjZj77HUmZZFAtl55EGT/p52tRVfxhpRsG/e+Am4IEvIBc4A0r1lmcZ7lmyZC4RtUMq8V1tmTEN4/vUoNfM2o3kQ9A/r4t04Bp3m6QSQJvpkO7Noij0e2HS4GvTKreB9+O04/EBlEdC6WVN6VWPjtB1bso21ou6mfDgl4DfsHo9PAGIH1N3TprAK3gao0pSnjEvPFbfUvVK55NVZKoyFkex6Snv9EoGfWwPsPgEc5s7hFwatxCiIIR4DMAhAL+QUj5k2OZaIcQmIcSmoaGhFpsjEY1yL70eOO112td+ivTgxs4BkkpoZO9frkZazlb5g8vjdaPjGBx8E/uSbXG1eFDdcCc07mIG49YdKTXGuFtgv4lKiGmMm0L/OiiVlPraI5U8dx/w2HfTvz+yU8lMeaIbIj21ZL7HJudkdC9m65xMuf+8YiDtP49UcviZMLdhOG6vmzJom0JOgfia8YFLCEWMXnIdcMG71ed1hjtk2GS4s+QSfUDVo0qiGGhuuJlUyq8bkTD9PHi7ot8ZdP3eJeqVQgITzkdDO+m8E+GAIn6VgcrRcCvAkpPr29NB5DLcUkpfSrkewBoAlwoh6pZ5kFLeLKXcIKXcsHLlytZaI2UyoMRU3pUnRRB8N2bGJJVQZ113FXDh1XGoIBCWrdTjuFMyJ+nmupVkB+adNfDi/fG1/5xCslCRvk9qO0dlPCmVmLz6WWiWceuFdmbtnCTD3UKMrwkzI8opnQadwWWB7msa49Y1Ui6VtFXj1v5PtIU5J7OkErrPZACHtinn+Nhew7loRixaVWYmuS3PYOxbqupj8+2i/YVRIIUcjFv/nZ8yKHHGzSVN/tzwZzgrqgTQ7ENVPVM9C9V7msElFljR7isnfyapxCmoz2gmvrQLDTdBSjkKYCOA3+lIazjjBszlXR2nnnH7buwccErJOO5Sn5JduKecx0k3SnnnhnWKzSTogSn2JPVCvj3tU2jSTqPIC264pw7Xf5+GwNdi1Rs4J0eeA+77B1XlUBqMeSuIYtH71H5mu5qQO4PMEqM0Dc4zSPAIhkYr4OiJWRHjblXjTpNKgvT3PMxU/51eGIr648hz8efEDnXnJCWqRftgOjtnvvTMkOHecY+qsqlLJXkdlEEG2+fEiZdYDnx1nDUbVBZydB4NlhzUpZJimZ2PwXCnDZ603zSpZGJ/uADEwvr2dBB5okpWCiGWhP/3AXgNgKc70hqJdK2LCs/wwj8EvxYb7kIpqTnT5wnGzQ13g6iStGkmjx1Py9QkA2xyTlKn10OXaHtq23QThnvwYVVfwnQeHHTtqKbItp8z6UgqY25a2ioPyOjTQ9IK654ajpkjhaOlsbpWGLeTxrgNUSUR426nxq1FleiO0ogEZEgladIQOcVlEPf9qK+HgwI9C1mMG1AzU+EoQ1ebUpr6Uz+Kn5nIcOdMwuHPz8Engaf+08y4174MWHNJ3LbyAuC018bx5YUizOWS02a1VTU70M878OM6Q/qMuG4BBy/ZTiJjXjW58PQcIQ/jPh7APUKIxwE8DKVx/7gjreHOSUCL7QxHOF74h1Adj/WvQjnJuMl4llhSQbGXsRhfbbPiDGDtlXE7CCZjzT8v5zDcdc5JP+6EgRcfb8FK4ML3mhl3SfP0m0Bsmzz4DeO4w9eZkXpmb6oKlwe8UBbQmuH+zc1qMQjAzI44mjLczDnZqFYJsc8oNJMx7lZYdybj1gaRVKmEbZfGcmtsTU0qehT5NKg0xILkPng8t15etdijtht+NvztAKKEGerDaYbb5L8hzIwCB7cwjZsPGGVg6dp4H2QT6Lmg9us+FNM1PrRVyY+FMLpLiNgwB34s92y5Q5UaAMz6uclwy0BdmzmOKAHyRZU8LqW8UEp5vpTyXCnlpzvXHF0qMbBgiq3lSzZNDcfGigx34CaZtIlxUy0CUVByyskvZe0IoUev6P+X+pFwTnLQg2Ni3CVmuOm3x50LLDkp6Zwkg5qL6YUhg+f/fn3bE5uZ4pa1/ecJPTQhkkqopvMsHJRBwLTcNMPNq93JZATKxEHgoZvrmaXuLNY1borySDBuQ12Xps5FY/PR/zLdcOtRH60y7jrDHd7byHCnMG4gnsFSkaa+JYiCBBoxbj1d3mgQUwq1kbHm14qeJzLcafHlgGpzdUIZ5LHBuK0ks0Yzcooa2wWM7k62KdHOFMPNl0ycQ3Rf5iRn3CbvMhljmiZVRtVFHQgdokUWVcLDmviITlUEybscbcfiNqPjMv3cMxju8oBqm8lIRhq3wTnJDVt0bsXka+AqrzU//yzojtZGjFsHv95pxmniYHZb/Fky7kTGG0+WSDEOPBPvwBPAg19WAzmgHtjpYRZ5wQx3wkGoxXGTM4pfS50lN4s0qYTHbdN7OpZXVX2Ol1EY2qaWy+NOcA4qd0wzSX48MrBkuF3dcAf1AQEU1km1dihxR4iYaaaxfx7lEgTmWRG1SU+6o/cUMw7EskY08OiGmxOuIDlQUFtpkYYoZp2HGGasxxklCmmZk14lWSJgjtBdhhtaAo4pg5LqR9DDRQ5DMtyFsvrcna6PRyX0hCN2NezkkaRhMNx8LUsj4+6DMbuM79fEuKPEHK9+NKeHZ2ZUscVSLxLLZ6VB1+tTV1RJMabcKWQy+jMjwKZbVELS+D6zE5P23arh5qvUcIOQxuq4VHJkpzre8w+E+wqjUTjjpnj/rCQYnSQA9Yz76Z/GLDQP8kolYI6x538F/PIfmbTlAXt+o/5Pc1pXxhHVRdEZNxVF612UfM+lMz0gIOqjlPEYDiSioAypUwwXKDEMZpxxyxTDTZ/pA0a0ygyXSsLzIUdgHeP2k7o+7zMFNvvlzkfe54kcNCWVVJPGf47QXYZbBkBagSkChdcBoZQQGm5KsKEbVJ1IHwnJEEfZjazGrnC0kTt0JDqFesNN2WOAmXVww50Wahb4sZHk2wOx83Dh6nzaKkXIRJEQaVIJn35qmibflw5iJENPA5v/BXj02/Xb8NK0afvJAq8nkygIlCK5cKlkbI8690NPqftPg0BkQEJikBZVQmQgSgrh15IdvzoJ7P8t8MRt+c8rLXOSG2pqQ1btjEa+DhkA1TGzxk0DWA+F+eVk3DzZzK/GUgmgjNbgJuDxW5O/mxmNpQdA/cZ0D+mZ0geM6Lozm0BGNksqiZz+bnKWRr8l/5jJcEex5TkNN4UBv+AZty6VmMArtsnQcPctiUc9mhJVJ9K1J7rxtfDB5sycF0gHQsmlFMeHuzNKN5sZVcek35oMNw0iopB8OEnSKJSVXENshR4G2uf4XtUeCoNqZARpetyMVMKTGvSpZhpopjJxUDHvxL69cEAL70czGncQJJlkwnCnMe7w86lDql0vOledx9je+ixWIgZCmwHpg2rk2E5h3GNhxA0xVxNG9yRL+WYx7kYRDUA8S8hjJKqTmsYd7p8MN8Vn69q+kXEXk7NCkvZoO7q2tHA2YdMt9RFOJoNIZKBO4ybD7cX/L1sHnPnGOA1efx5kwCRIrbQz9ROSLSNHtcFwZzFuGkSKvTHJ6Ebn5NxCc06akKgfETrvBljCD92ILMZNUy1dKgHqDTdp3IUe1RkGH1ae6kNb1bGyDHdkiA1SSaEELDtFTbd1rZ1ea9MqEYLYa6PlzGhA4NfHBL6f8kA8WB5/AXDKVfG+6vZv6NBHnqvfplCM2V4zjHvbT5PLWiVkkwbOSWrHCRvUNRgfrGfckVTioM5BGP0fxA9wqc+scdOiGJSJZ8Kj/wps+mb8PlFuN8M5mRZDH4W75piWB148q6NjAHEf1QecLOekU4x/VyzHsqC+3YBWUkKXttLkxMig6qbI4OtyCqqPFlJIgQziGYlXTbaB+gJJHE1LJTQLC9tZHojvlXVONigyBSSnr35NLWeWMNxkMPz0C0o3lxw5ifXuHIBHlZCTs1BSN7bCsvi44eaOGD18qa4oVrjP1Req/2kpJ6ExbkCl7DcyxISoop2IO6gJ3IgUe5JGYc2l8b7qfmcwKnWRAzR4FNN/k4YhLT2gyhxwaWU86ZqQs25ghZqhjHHDzVKXhZPNuKUfa7/FXrO/gCSsZs4t1TmpG+6UASpPXRBe40YGBqlkWm1Dxdj0tunhgEDScEdO/Zl4u0uvBRa+qL6v9S9LvudSCS/WRsY1TeNWb+rbBNQTicCPn0mvkuwzC14UH4dLJbpzMi1nQJdK+EzVGm4tjhswdCTGuKcOq99ww80vos64L34/cOorYwZrYtwQ9Ro3yRq+m2SBhRKLOGFpwXRTTeGA5F0v9gALj1fsn7RAnmlJ16F3cfKBzAK1lfbRqEA8nQPX1rMGCZ0N6oXpAfUwOey6pEkl7gzTWKW6Lr2LVVz8yjPU59WJuE0m56T+gJEvYtFqVaExKlfAGbfDfAvaCjN03tQuzrg5aO3TXPVRTMfIkErSDHPUzzKyFImQ+K7mqCOppBKek6iv9gekM24a+KKMy5nYgA0sV8+f3jd1Y0bOSSGAU14BrH9P8nzTNG7TdxHjNmjcJNN5TCq5+Brg1FfF++J+hIRDPoxEyaNx83DZF7zhNkklV/0lcMYb4vfEmABgMtQQTVIJUH9BFx2vRnsqkBNp3FonMaXTU3w4z2Qs9DCphD3EJMWYjCiFuBXZA0RGPzLcbPCghSOAdAZN4IzJcdJ1am4o+KyB2DpFEtTtX/tsYEU94yYZqBHjvv/zquohoKrHPfhFZSBWnA6sPFN9Xp1Qhob8Czr0B5cepmWnJD+PDLdM9h9d4wUMjDuj8jE3olOHFREY3a2WHas7dk7nZNpAV2gQMw3EuQqBm864o+xD9mw0YtxRshkLw+Pbme6PH+ZRLF4T7js03FQMjq5rLsOt2YSIFBg07qjcbEVdKyEUQSrwZzFFKgEUSzdGS1G8uclwz71zcu5Wt8yDNOck7yScFU4cUBeST8v4FDDrgpb6UjRuPaokZJDFMjA2lGSYlI0FKKNDHTgy3Ez6ICNK7IXYUaEU67cmI0GOJEDJAU4h+RkHf/B0eUbfLjoHNvhwxm+UStjDWepVMwteEAgIpZJCPqmEDAbFWTuFpLGkOseiYJZKdGNBhotXautbYggHZLMKU8QPZ9wOY+g6uBF98gfKSI0NJvXeynicbRgdIyOKJK2iYlZdEBroozVXw+SySOZhpIG2SUglLH7d5JwklJixKrPaHE7BIFt4agBecZq6JsRmyVBGhCctHJDbAX0WTjMJXeMOB+Zij7o3VApDz8ZOY9zUHqNUomvcTCrJ43doM7qPcafFbvP/I8Z9UBntxOifwbg5ir0sHDArqsRTo3WhXC8LFMpxJ/LdMLqlR03V+X6jzhLEbC4y3Ky9pml576L4/Lb/j6oVkQYulegGiSPBuEtJg03t5sakNq3YMa9JXhpQnbeOcWtSSSN5J5GkEYa7FZjhLpbDqS9VwXtGRfUA9eyTpvJCAOv/QGmvS05KZhMmGDcZLN05GUoBupHh6FmAREGu2qSaIdArISrzy3XtjAScVKkkbAs33HSdolRwtlg2Lw/BwwEpY7fYBOMm8Joc3MFJtV90iZGv5iT9ZJZhxJpTnJNZUgkNpnXOST/JuP1afcQHhQPKNMNdaSCVhPZpnhl3dxlumRJVwm8cj1OuTiZHPiB5oxox7mj/mnOSJ2RQsgy/wQtYsk+CkfQDL7shnurzcEBAdZY6xs32azQQi9j5jicNnQ5d406NB9ack5FTNCUKpjKqjPfEfnaufepBdmeS+yNpKZoKNwgH5BUXgSTj9l11PymiB1BSxKGtSSdSVNaAPUxL1wIbPqAiP3xXGdhI49bj3DXD7VbC60Lxw4ZlqaJY4mo4INeUkaZXAiUB5XZONkiOihyFvUDfsuR3EeNmoW+64S4a+l1mVAl7z69vDzPchZLhPNz6CCePFYOLwizTwgFTMqijdhkW6qDBimRNr1pP3vSUd/17kkr0Y1JYIn1e7IkHzhe8xp1HKqEVcIBkrGq0rRM/+FkXlBtuXSrR1wHkTkjhxB7qouadjwpa9cXTft7+wGC4E2n5httRHmCGLKWYFYEScIB0qUQvWalr3NQm/lsyFpxdl/vVgyxl0jEbpd1ThqILHHgyDqGjNhB0w13qi2cxgLq+NPUFYjbE43SJ/ZiSU4gluuHyb0bGrRlVr5LePwgkh3nV2FCSbMRnZhTtkmCjGuPOFVVChrumVlu58uPJwmpA2E+LLDbaiX0dUibPK1E6tUECDiGVcTNZrDqhzpn3A9q3X02XSgyM2w8kDk9WYSRzJl1d17h51VC2X5Xyzp5tDpJK9L7E48kBdV7lBWHoq2Gm3GF0l8adFsddx7g1x4gOKoyTxbj5unqJC8+kEjISnHH3LIwNRaGcZPx8wLjomlh7NzFuE/MxGQiuydI+fA84vE2dH1/ejQpm0TmZGHei0JKXNNzcgFPHPrIzTrLgBfVL/fGDXJuOrwln/YVQctl5j9KdI0cVGzhI3yboDkEqCMYXvgCUM3D/b9X/5YFYS9bRv1y9brk9jFnXMm/5NQFC56RWf8J0X3iFPV5XA0ga6Yhxa3H8QMyGTVLJCRerDFC65nwmya8vwFhsSf3RQMulEqoxQgZJl0pq06Fx0owQf754obYek+F2gV99KflbXSopa457Pz0ccGS6hu2HJtG/2kdd4VSnZNC4Q8NdKKZLJU4hlENIKjEw7sBVzydf4T7w6k1TeaC5kNA2ogsZt6FJut6VpmkTqFNmSiX8wUyRSshYFIrxDS71MQdPOcm6+QO+8Dj2OZuak36qa32AWePWPw88YMddqpbxltvjz2mqmohkMWjcenGdBOMmjTuUWcb3A7+9VdVOpmMQSv2svrGWmp5Y1MJFVK2RwLVpCq2L9ss0biCWSsgY0T3Z/t9xqVGawpcMdZGXnKTCz8b3xZmMWVElNCvijMtEDnqY4c6K9EhkbdIxwqk4ze70rFoAWL0eeMmH48+LBsNNM5MCu5eFUjJSg/oBzZZMjBtQPgy3Uj/rSzDuAfP/UZmJSSTglOI+JQNNKtEKtxkScIKwv/kyJ+OmjE5a3MSt1NcRSQsHpMHXq8Z+LT5jMGWV9iwy97k5QHcxblMcN5A0rDrjdlIYN5AtlSw7FdgVFiOqc05qUolTAgrhZ+WBZEQIoFj49BEzM+P7J8Zd6jXrp/z3V34M0RDPPw/8OHHI0Qw635Y66OgeYPA3wNm/i0TGYKEHwHSYtq9JB+ScnAprcptqc5cHWM0Xvv6mlzQopBmmyQE6ayr2JB+QaPpfSco83BBSO9IK2i88Lm6b6DMzbpqBEOMmpk7Xo+78yXBXzWSD2qWvVAPETjRyhCdWXGIRRrxvJGZmYfv54iEAooxVOibJQtKPM0sHVtXvj8NUZCr6X3tO9M+HtaJbCY2b5S8Aqi9SvQ/ut2LtCCgEvhWpBFAJXHzVHDq/hMbN/AO1KRaNwgiZ79ZLJQDw4lc3V9Khjeguxp0qlWidR48h1UGdMotxLz4BOOkyxZwSkR3CwLhLiHTvUj+TSsJOSO/TDLdgndedSY7SfOBJOIL64llBQiphbCHB1PzktiSVHH5GRWJEC6QS4ybGzwx3NIUPH3aSMbhm27MQOOstwHHnMMatLZwcGZaiYj0UCkbg/wd+khUVNY272KMYNaVMR0k1oYSw/NTYYKexH74YgmA+EK5xRyuhyHrGbSIHkcadwbh7FtQv0UXnLETY12Ae1ByKqSc5xCCpRd8xFlsoslKpjHEfeEKFKS4k/0wKqdFnQAkfTBoxCY8/tC35eaGoSSVVjaiE3xV7UUfYhAMZDmjG0mpGqYSFAwIhczZElXB5itsKyo6OIqPK8fcmw92zsD5DdI7QXYY7r3OyocYdxiYXGkwoTn0VcPlHDFIJMW62ig53KlKNCnp4I8OdInVwRuvOJAcUPlVLY24JZs0cK3xNx4hxa87JyGGmJYJEWifTlDlrD/y4rnWiLUVVyKnUV18ZkaI3uJQUDRiGgj+FYsw+qe08IgVQ9zLS0qdio1+bUkbo/N9nMlaK4Y4iGLzYmAH1jJvOwatq90gzlECScadlM/Ysis+1znA7SSPC28iPZYpc0Esj8BmOU0qmkQtH9YHxfcCLzmczPU0iIOj1VxL3oqRq56w6K7kNtVH3V3CpJPDrDWnkEzIQLOFEBjtolXED9VIJT3nng3ihqPp0bTqU+8IQYL7EYKNyHHOIhi0RQpwohLhHCLFVCLFFCPFnnWtOTuck1+HSpJK8ITp1A4VANMZzxn3cucCCVWrR0oHlwOUfjquUkcPFNIgAjPF5SuNO6Kda1mLW7wmc4ZGx1aUSiuMmBkWsmIzVyjOAM9+kJAFaJooyUClzUn8QeXsBdR84wyNmXmaGmwYMU3ZgMaxlHs0CemNnLJeSOLOPpBIZP6ArzwDWvSx91R493FOXhqSM+1F4nWSxF5t2HcF4xU1eU0KpT+0rk3EvVN/xUrF0LYSDyBHOw9a4VMJfTYxbLzxVKMaskZ8r3ZdEolo5uQ9Aret4yiuS56Az7pdcB5zzdvM2elVDniNAkUem8yiZDLeIOYnJJvBwQIqaiZyT7Bi6JMTDAblEUygrGWlsUA10fUvV9Vj38vAYBo17HpFH4/YA/LmU8hEhxEIAm4UQv5BSPtX21khpZq1pCTiA2VguXdu600CPewUUS+hdBFzyx/F2PHuROl5awgt3TrozKgWXEIVHZYQU6d/pa18+e6eSRICkxu27MePWDXexN2ZOx52jnHg0gxCOOgavjR21ResyPMY6coCRlFRia0Zyw80XoWCzBhrQyHj7XiiVsEVe+QBAbKp/WbxeqAmJGZVgA6lBKgmjQCqiB7/cfhhCCFzMa85E512OwxTTHuiehXG8ue6cdAqISIJfU4NYbTo5ywPiAcUpxn2zjmlzxs2lknAANC1WwJ3T5CAcWFE/S+XJWakzSk3+4LIdDcCUf8AZcOSLMoRxcqnEpJUQ454ZVWuUrn9vfMwE4zZJJT6izFLqa4Wykk/J4b3kZPVM0PNztBluKeV+APvD/yeEEFsBnACgA4Y7zTkZXjDSBRtp3Cdc1HobuOGe2K/2zx1VJjRaNJUzbl3jzmW4tdvEjzO8Hdj3WP2xaIqsD0J8kQCOHp7CXIyZuj4l1Wc4PMaa2DVn3LrsxNtf6gvb6CuDQcWl6Dh+GK4YVXOc0gx3zoy1VMZNUSUyPP+hqM6IX+wHEMDzWa6ALhuUwpAx0lUDX/VVL1xkg+6zV0FdWVdRQsy4K/Hg77tJ2YzX2HAKgM9irem73iWI4oqdYnzNSY4xJbmQZJEwuoZnyTRo1W3Drkvv4rjvOCwc0Mi4w++MjNtpwLhDjXvmiLrutMSfcJJO6hVnaL/jjJuurVD3c9EJ8fvo/4wMznlEUy0RQqwFcCGAhwzfXSuE2CSE2DQ0NKR/nRMNnJNRydIG4YAABkem8cRgyrp8WRBCjeJP/0QVh1+0GsbEGI6sOhJA3EFrk6qTmWJgs4oZ6UbWr8YDHJWErdtfIWlwa5pzMi/D1x6COgQAACAASURBVOss1zHuMtOdw2gXrnETTFIJZ9wnXR5PS/lxCmW2RuJM8pzyymF6ETET4y71qWOGhcuU4Qa8QJrvUaKYURj3XR5g2Yyl5IBu1LjDCCavygpE+Ummyg2nPoDQ69KTgZder0ou6M4/UajXzQFzOKrpWcrTPwua4Y4+57V8wmcjt8YtQFfMHFVSVOcVkQYq0eyoQfjCPwRe9udx2Cbbb6Rx87yFQlnNhIWjJEMaTBLPXoO1AuYQuQ23EGIBgB8A+JiUclz/Xkp5s5Ryg5Ryw8qVK+t3kAdpzkkeX8zfA6kd6sm94/j1ToNG2wjCUZlf+x9XSR408mYh0lZTbiy1kaZdnN1GTqIsQ+okr4vPkotqeuwsG+T48XXGnZdB6bMNfSpNIX9ALIuYomwSUkm4fbEvPeWZh3RS5qo7lWTus2bcWnGlngVRLLJXMBhuPXOOGDdp1Ge+UYWIAUnHllfRknwog9NhGjc7F5MUyB1p9Lr4RFXEqXcxu+Y8L0CkPyumhRlMs1ddTzeBH5MbbpJ3gJjUmMJfU+4jGezAKJWUwxls2OeqzHADyv9kWgsyWq+WpfcvfBGw4Di1/eoLkzN2/Z53CXLFcQshSlBG+7tSyh92rjkpCTi6MWqUgAPADyT8Rms0mqAfn7L9srB0HXDKVcDx61P2GbaXDHevVucByDak9L2vyQTuTIbhDs+DqvhF0R0s5C8N/DtikLq+GrWjJ07rrk0nE5J0xk0DM5X3LJQYG9TaE8kBPM52Ohk6l9dw61FDpqgS4YTVDkcBpwA/ZIaeHwC9KUar2KscuMSul65NJnYkGLcfM2xqBx3br8aOWSmT15iMohBJvRtQ2v5570i2SU9e0nMgCOWFykD1LIzLERgNtxbBYoIulfDPqS9FGcMGxp2yjiZJJNLEL+laRMvTaYY7DTwBh86NaoMDwOmvq9/e9P88I09UiQDwDQBbpZT/1NHWpDn3dIOtJ2gY4AUBfONQ3QhsVH3ReckSoak/EcDJL01PAKF2z4TOvgTjzmm4dUMbaaKeFumhRUD0LVVGjx4cfX1LY3vZ9SXGHZWq1a43FfTZ96haLowXItIHVb5uIZ9Gm85Pzwos96uHkw/GuSOHNOekzriJMNC0ujyAIMzWc30WcaITgYhxV1hiSSGO7tAZd11NHBEm/FBiiiHhikcdRUY047Hl96dvqca4uRF3gNNfn17LPtouj1SSwrgLLBwwYtyGqJKUATjIZNzkTA4NNl+aLAtOIXQYu9nnRDhaDTeAKwBcDeBVQojHwr83dqQ1jeK4I62bPXwpFz+QsjXDLRxM1zxs2TeG2qmvaxwLnnOfABTjdormBJwsBgzUG1ruieext3rBqL5lcXwqkO6cTByLOW0WhJl2pHWbGHdtCtj2c5UizwcvfVAlfZqkBd2gmtrAGXdFU+haYdy0WDCARHEl4cRhneUBeOF3Hq9rraPYq87FrSQHkUKPxrhryXIEACJHO2m0PGPUlPQiHLOTVAeXVihkUd8XR6Pvc/lgWKJQj1buNdK4w/5nDAdMY9xO+JrinARaY9xAOOtr8Mzp++siw50nquR+zKkqn6Vxa1Ne+KlSiecrwy2lhGhGmxICk1UP4xUf49UAK9pRI91h08W+pUkjlVXzObEP7Xvuie9dHK+OHj1o4TXrX6YMKy2Plsc5SYatUFK/v+SPldd+eIdB49aiTviAUse4WWU/nXHr7aFUdzqPUj9Q3ZXcpiXGnaJxQ7DU+QWRTfd8yQYgA+MGlPHgs6hir1nj1g0yRRnRufBFcaPtMjRuE2j7ngX1GrdpsG6k4epp9anHDWP/exYmJR9qg5vFuM33MTOqpKAb7un68zGBroFfA4oLs7fV93c0Ge45RWqRKYEjMx4KBR/RRIyiJlI6FBWo8QKJUqE5w+0FEoEowG9FaTHukz0wPVpnaVUqKWqGO9pOc+D2LYtDzg4+FS/EkMc5SUZgwapY5qmTSrSHjift6PeGBg1aCUWPz0+0oZDcd7k/qW8DTTgnRWxM0qJKNKnEZ/0nVSrhBoffg3Uvi0v78joret0PGSRzBUyMOxEO2ESEB2V2NmTUOftdI2JRKMXRMeQ45MEEVFjL6JzMZtzSVGQqYtzaLKzh+RDjzimVUGAAs02P7h5BxQ1w+akNwoQ7iO4ZQoD0OG4AWw9M4eHn2U2KOlSaxh1WFmtWLhGqDnAgCnD9FM29WfDOxB2TQNiZizkYd4bhNpUgpevTvwzoX6E63rafqOOvPCM5pWXwA4mnDk6pgS8RKpYyTdfZ0srT638T7ZwYdzXbcQYo+advafw+IS9lM7U68BBS7pxMRJWI2NiVB+CTVMLjpnXGnZCrmOFedVacjUpyitSkEkoHNzJug3PSKeSULcK29uQ03A01YSd57NTtSrGcU+zRzoFi0kvabJOkkgYat+nLtMWoeZ8xtpNJJXkZNG0X9redQ1N4dmgy4wedR3cx7pQ4biklpHCS3mXqTCmOGn/WhrvYonPTgKzwOiBknzmcKhxcFzR56kkz7VuqQp0OPKFqa5/7hvrFdBn2jc7gscEJrO5xsWQBZ36GFGn+OQBc9qGk3p4mlVQn1XWok74YTnll0lnNDXc51LubWTLKcZQFEA7iynQs5Z3if4HQcKt/3YANYHXOST7r0Wp8EIq9KupmfK+67pGkVQAgWPp/CuPuW6LOV3DDncEqo5BMbd1TIczPSh7jlctwF+Kql4VycnYUJRPptbFzOidNUklilsmidaj6YRq4VJKHcdP+gagPun4Av12krkV0l+FOcU5O13xIOAh0vS5Dd4sMd9MhgSJi3F67DDdv9wkX139f6k910MT70DXgctxhTdlox1+gYtDJqJ/zdlVoiJhgCrxAQoqCYtymhI065h9+LoQyXtw4mKJKfE85knqXNJBKHCQmhHoRf3c61b9hBHds0/6lZrj7lwOnvhJYeRb8wyoCRjFuMiwZjDtlBoPyApXIBQAnvSSuoMdjnIEwHNDgy3nR+cCqc1R78zgnKUpkxYvD8zXsk6ORU5za1mh2UygBki3SwBOu6Bg6s37R+coAp7SNrrbxEe5dHPtXehapwbFnQSqRi9vCQkFzG27ys6jzcwPZPtvQIrrLcKfEcU9WPQTCgRTa1DqP4W5WqO4E4xZCJWYsOdn8AJz7fzV+MOrinEN5xXfTY2OpCBagtlm2rmFT/SBAIMJayHqY15ITgYWrkz+gbWhFdNN30c49pUlKqZhkYhrf4IHj0SonXR6y0CZ8F3ooqSjUFycSQhlXAIFUsemezwawNMbdsyA9+ui014US1eJ4yTvAYLhTwgFJSuOfZxnbZeuAK/6MLZxsYPEceRj3Ob+XXsCLUOyNZZ1CD+Cwsgy8fCtH/7LMsqiBzIgqEUINtBMHwhWQxpI1gNKQJc+lQVsiz/UCa7gTIO++homKVy+VCCdV3waYxt0s4xYOfBky7rZ5JwGceGn6d3lq+jpFldzisepxxDj4FHSW2V2un8K4CyWVRqxDr0meaDNlP4btDljRq94lyTrfjZhfgnEviOtK54XQDLdTUIw7SohJXjfqP14gY8Op5xkQ4+bTdh0Dy4GL3hf+nvUnirggpDknOfJo3EBykOPlIoz7zGG89MUITDiNJa6ceEmynk6kETe3Gnocx53Sp3sWKsO98gzVH06+ovFO0+Las6AVQXP9VnNE2ocuM9xmqWSq6kHCQaHIHR6FTLbQusYt2s+4G2Cm5qPgCJSLGeynd4nS5cb2qvdOMWkYebGnWcAPJCTUrCPXVJLYfnlB/Xc8BturJVOU+5Yka7s0Yn5pi0/khaNJJaKgpstkjLXj071XUok63pGpCvpXrEPvmjBD1nHUtc8y3Bw8uoUzbqeoBofchjunwQFyMO42Rfpy8qH7UEQK426ATOckwOQpoZKJ8kAvBdEMSnEZhLaSuhbQXVElKc7JyaqHSnER/B7ukChkapyzd04WoiSMTuOHjw7igWcPZ290+uuB894Zv+dSUaEHuOSDydTdFuEFEkL6imTk6dhRZqOJcYeDK+n3VIbTKSpD3wz7KZaZZNCE4SLoYZIR4zYbbh5OGogCpJTYuncUjyx+DbDqzHjDda9Q9S2abQcnHlRTwxTHzZFH49bh5JRKOlmHI3LuNWm4JaW8p7Rt0erm95uQpxr4lXSU+iGlhOsHCKREMI+suwsZd/1YMlHx8PTKN6C/zDr0upfBZOTVbuTsDXehOGc61lTVUwX7M9slkkyTe/qLZRXmp4catgDPD1CQnpKYGiVdANmGm+J2eeW7yqhiqHp53jxOslI/4I/na5eO6Fj5GDdnVB6KKEhgpPdEDHjaYL7G4GzO1Z5i3BZijo0cieWBUDLLGQaZ2GcKRzPV/+kU2i2VHHeOuiYNHO4J8OvQzHUEgHK/khLDruEGAXrm4roZ0FWG+7E9RzAgJnHa6cnPJ6sqeN/jdjTjZnFj3bzcEUslczUdcn2JqpuD3esJHKZiTrOEGqykYpx5OnaxRzHQtBDD/uUqHHF4h9K4K2NKJgG0WN+chrsy3ppUUqdxO0qqoYSkFMYNAB4EvEuuw7O/PoCzdcPdLGi/XOMmvd4Ux82xKlzwoiXD3Yhxd9AARQvzNsdwAwgIID0RTohcDvfkb7RInmZQ6lfSWYj51Lm7ynDP1Dw4tfoHY6qqbnzeC8WZcrOsWYo4HHAubgxNvaqe33hjYqkUysS9+G2C50sMDZyG0bKHk0/OWFWGt+mc303//uJrlLHa/aCSStyZOGRNT0VvhEaLMmfBFFVCK58DdVKBr/UhWVoIKQ6jNtv4XWL4TjGuqhgZbrORnax62HNkGmcdvyi/nk7Im/nY7H6bAZXubZLhBhAoIEMqaQW8zzXLuAsluNV4ZjyfkSVdpXEXYHZEUAajH+TTlThbatb4eoFQC2+LYlMat+sHuG3zIA6NpyymkAJVTwWo5mVyukOL0qrbBC8IIEURh1Zd2bQmmYqwCNHOQ2M4MsYSZ7IScEygNPJGoYPGNhiiSpIbJN7xaCTPlxHTams27VS44EgUJmhm3Fv3j+PnTx5ArRW234hRl/uBs96sFl3uFPhSdU2AHt222sfE8m3N92+X2YSmQ43biK4y3I4APIOe5frNMWhvFlKJFz6wgdNcVMnYjIs9R6YxODrT3PHCY+Q23LxanFNqq0wCaNEU7YRTxLP7hnFoZJwl7TQZU7vguMYpzanHNzBuDj2qhPc5P47bdb02PaxOkWX70QzEPKi4HqtU2CwaSSWAKl+s19BpJ6jmetMat2q731bGPQuNG8mB252j4AUTukoqeXbN27F8Sf2D6fkBSgUB189XqjWYheF2AwpBai5zcqampI6Km0Py4McLO0LNCxAEEo7ToJPycrYrTm/7A0eDZLungdIpIqhOqfsRMe4Glet0rLlE/bUCPXpCHyh0w80YtxtWmQSAatsYd1GtIn7kuWjGNDhWxcTBcZx1ZvKxrEVsv4V74syh87ERWnZOtrENogXGfdzZ0e/4wG017hBu3ypUNAYZhOmlC3uLcH0vZB3ZnTDBuJtMwPE8xQ5kGF2SF9MtG+74GDU/QG8z1dpWnZkMTWsDIsbdZjbhO2WU3GH4QrbOuGcTstaQcSf3zQd/zw/iSILZOiej9hSBNRvUX4gjUzXMzNRXrSMneUuzoEYhhnOJJqU3PwoHbCNaYdxnvy36l7Ps+Yzl7iqppODUG0u6UL0l1fHo+6mqFzktdSSjSprr7LHhbq464HRN/W7G4FzNPB47Rr7IkpzZcy2CDHZL7C4DNacPPd64xrh5aneHu6IpqiTRwKnEW93BHV+XDlSMDFHxFLv0pBaaGC3q0MI9ySOVzBWaZNzklPTTwgFbAb/vLQxmbpdElXSV4S46ou5i0KhGhpsMys+fPIBfPHXQuJ+k4W6uDZ6nvMbCaS6qpGWphB2j6vkYm3FTByQALKGiMwwqZnft7ZRV0YuCdJXxMRWs6mQ4Gj8Wz5xMNDBZpjOQcR13z5dRv2vJQWiCIRa9Gh7D1R7LGn3eEuPOGVUyF2iyz1IXNNYqaRWzJAhcKpmrBD0TuspwOxmGu09j3GMzLsZmzEkryVCu5i5uLQzL6ymXmmI4JJXMNGm4E4zbC/CzJ/Zj47ah9B/Q2oNtznSTUmLX4anoejU7U2mEalhhzw8kZCEplUxUPewbn326fhZGKx4e3DmMkRnDCkDHnx8VlyL4gURPkchCEA9oOSObGsJgSCuhUXADPRko9oOMTNVyH2Js2p2bOO1GoGXvmoCUMs6c7JTG3QISUkk3M24hxC1CiENCiCc73ZiiI+ouRiyVqKaSYZlxfUzVzMyU76NZ++O6ajDo6yk3x7jd5hh3zVOFargkUfV8TFY9TFbTsyifPVzB1oPTuduVF7uPTOP2R/di36gKZ2xWKhmvuJka7AyUsZYAXBEzbj+QeHzfJG59eE9L7c6LA+Pqmu4YCiWRaHm2InDmm+KFB0L4gURP1Odk4oGddSw3gIqvlsiL9ukFIKWspksl4b14Yu8YvvPr53P1saGJKm554Dkcmgr7UhNs99BEpemZYyYuugZ46fVN/SSQys8EtFkqmTXjPno07m8B+J0OtwMAUHBEHdOj6SFn3DUvQM0LUHUDo7FIY9w8FT4NNdeDI4ByqT7lfTJDwmhWKvn33+zGQ88NJ6a/FTdA1QuifZlwZMbHaKX9U7TxmeS5NTNTCQKJ7zz4PB7bM5q6TQWxI6hKPnEhcGCilqz62EYMTVTxbw/tRsX1US4paWKiGt6nANiybwwzfvpCHL0Gxg20x3Df/tgB/PN9O6P3VEgNAKp+0lDR8cZmXPhBvixbmo1Oks8lp1TiBxL/8fAePLJ7JNf2uVAs1w2MedohsxYLbhWzlBibDU3uFBo+MVLK+wAcmYO2GBk3PTA9TOOeZkx72mAo01LeH90zii/ctR2j0+nTTddzUSo4KBQKiVUuDo5X8M/37cShCXOCDbXJ9WVDLdL1AxyZqmF02k0YhIrro+YFqGToqBUfqAWifU6yEBMay2+mU07VPNS8AMMZ0/gpGUcL1RDru8PTqmRvU+uC5sT+sRkcHK/g4HgFtTDMc7yi+svwlIfxiofRFIXGl4pxFxxRRxBmE1lyYLyCPSPTOFJR15f6zVTNi+Qvt45xB+G2qu1VvzE5oMF/dNrH5udH6gZ7zw/wbw/txp4jydnb+IwL15eYqraRcTdAxfUxOJJsRyBllI/U3nDAWTLuIIAT3qd2y4nNoG1URwhxrRBikxBi09BQhkabgYJB4zYx7mnGSKcNHSzNcFMn/ckT+1Pb4LoeigUBoRWZGp12E6+AYvDPHJyA5weYdv3I+DRi3ZMVL9qOT8Gp0FTF9aO44Yrro+L6eHxwFJt2HcGMLxCIQrSPdkF/UJuZBtL9mMho07RUjNt3SuCHqgYOpHDg+rJ9jr8QZLyOTNVAxHO8qgbH8ar6YCpFlQoCCUcI9BSd8D6xuG52bcZm3KZkhaGJKoYmqghCqeapfePYc2QaU1U/iqKoadIA9UM6nzzXiQaEA5Muan6AI5VkG6eqPg6OV7BPSxgbDZl6s76aNDzw7GF8+8Fdmds8sXcMP9i8N3FegWSMu61SSQG7j0zXEZW8cL0glm27XCrJBSnlzVLKDVLKDStXrmxpHybDTZ2Wa9yccZt0btpHqZDcXzGMyDg0Xk0w1p1Dk/j6L3cqndFVjLtYSCbgRMyIySWHJ2v4yeP78fSBCVTdAEv6Fats1OlJcplx/ejmFx0RyRU8Bf67D+3GVzbuwK93DuPhXSMYKa7CeO/qTNkmC54f4L5nhvCfv92XuAa6rp63vAA/n/EUZzEATIaG2xM90QMqpUTVB4phnXV+3Z7aN45fNSp12wA0GxuZrqEa0LTbwdBkFRM1dW6TntkoeIFE0RHoLRVQ8XzNiRwPrLdtHsSDO4eN+9AhpcSM68P1Azhh0s0vtx/GbZsHMcmkklqgR5Xo8mHj+0LXcjTsU7r8QrVxpjVZbiScjVYy5Lpm8JvnjmB4stZQZgzCa0MIZBwO2E6pxIfA3tEZ7EX62pS/eOogNj9vlopcX6Kn6EAIGw4YoWByThLjLseMm7NDkx5M+my56CQScDgz4h127+gMJiqqtGrN81FyFOPmN4aOw49Nxnz/mJJPlg8ow33X1kORHCOlxH3PDGHf6Ay+dPd2PLJ7hDFrNQUXAujvKSaiZOh4ZAynqop57190AXYue3kmu83Cln3j2Pz8CHYcmsTwZCxtTLLzoqmgF/oT/nvLARWhAGBwZDpMSGGDWvjbyaoHKSUGR6aj9s/UlKGa9MvoKTrwnXI0KFW9AJ500N9TTpyzaucYHt87lnkuO4Ym8f1Ne1IfINrfyJSLWqBKKgACI1M1jIfSwZTnwPMDbNx2KDEo+2EWa2/JQdUNEsbyh4/sxebnRxAEEhMVN7o2jTBZ9dSAKOvlkMOTVQhhNtw6s8vDuKPr74YztzrDHZ6/Rnyo31byFD3LAepLu4fTHerUFv58+oGMnJPttI81L8Bjx/8+dh3/htRtnjs8WSfdELwgQKnooOiIxCxsrtFVhrtoSMCJ4rhDR5GnSSWmmGcqMlUuJPfH64HwTkLyx2TFw3MLL4YcWAF/werEA0PHnKp5EXugz54fVpEKqxapkLcDYxU8PjgWbq80xv/ZcgCuL/HA9sMJqaTmBygVHPSXCwnDXWGszoSJRvW7Q+wdncFPn9gfsefhqVjU5fvg0guf3TxzcAJP7RvHo3tGcHiyiu9vGsRvB0fxtft24pmDE+q3rHrj3U8fwvc3DeIXW1WM/a0P78b92w9j3HVQLpXgOeXI8EzXfEjhoL+3HL6P2zA8VYuMfhq2H5zE4MgMdg5NGr+n+zMyXUPVFxgoFyEcByPTNYyH2smEKzA4MoNHd4/iucNxEk4gJQqCMe4gQIGVI9i6fxwzrlpwYiLn7OcI8wFIOFi5sCeqMb9zaAoDfSUIKHZM98sP6h3q+aQSde60wHY94w7vgSaR0bOQ5SBvBgM96vx2H0k33HQ+MzUfhyer+J8tB8JzDrXktrQkPlaltARTXsoCxVKi4gap13iq6qOvVECx4HS3xi2E+HcADwI4QwgxKIT44041hqQSbrDowaUEHC90TvaVC+gpOXVTPdoGAMrFZBJNxfWxpF85xvjvSNcbnXExWliOkXPeD6fUm1jlgqZxu4en8c/37cRvnjsSfUbs9+Tl/YljAcCRkNWOhA/Ekv5StH3NU1EkpYLAgp56hk8Gsafk4MRlbOkumCNcdg9P46dP7E84nB7cMYxtByYwPKWmq8OTNSxfoAwlMX/XDxIDGV3r/WMVbNmnBqBnDk5gxyFlILcdmMRMzY/e88Hz8cEx9JcL2Dk0iUPjFYxMu3j20CQmqj4WLFwE3+mJpulTVeWYXNCrZJS9ozM4MFbBdM2LDEeWlj8UOoq37BtPfL7r8BS+v2lPNFuZqHiYqgUoFgQW9JYxODKDmh9ecxSw3XAefqD6o9K4VVQJX8jj8GQN+8dmGraRgxtuCIHLT12Od196EgDVX5b296DgCPz6+XHcdNf21IGrlsc5Gd5Pkl9mUqQSnXFTP624QXQvZgMaIPZmFF+jtsy4qk9t2TeOsRkXUqh63O20j+TYNQU1AEqW8gOZGjk0WXWxsLekAim6WeOWUv6BlPJ4KWVJSrlGSvmNTjWmWCBvbb0jiHQlLwgwVfMxUC5goFxM1biFUBo3l14qno+l/clpuZQyesCHJhQb7S8XUHRiuYBvTwbzgWcP48BYHGHSU3KwfKCMD75sHVYv6Y3YM2e4tD9udCcrHoqOgwW9yXCtGdePDPwbzj0eb70gXl19cV8Jk1UPuw5P4SGmr/52cBTbDkzgh4/sxV1bD+Lrv9wZGfGN2w7hlvufw6GJKo5f3Idy0cF4Re3jS3c/mzg2Me7/fGwf9o1WcPziXkxVffxqhzrWwbB07d7RGUgpMVXzousFAG++YDUEBO59ZihxzQZOuRRHBl4cs72aD4kCBkLGvWnXCH78+D5Nwgk1Ws/Hvc8M4SeP74frB1EUS7noYNfwFGqekp2OTNVw+6N7MTgyg7EZN5LYxqsSRcfBwv4yDoxVEIgClg+UEThFbD80EbWH4IcMu6dUQNVTBrS/nLxHT+5VA0bFzZ4ZEEamawm1tr9cwKLeYuTUXjrQA6cQL2l2/7OHjdE9NZa9Nzpdw3/+dl8dQ6T+Wi0uRKW4CONOXG87CGTiHsT7DTBRcdFTchBIie9v2oOHnms9oIzuExAO0ikzSGoLz82g8EhHtFfjjmZ7KbOkihsktuPw/ABTVR8L///2zjRGkus+7L9X1VVdfXdP9/TM7Oxcu7PL3SWX4i6X9yGRkmiLjkwykW0aiWVAPmDLCpIP+aDAQOB8TIAESADDhoLIkO3AR+wEkhEnsiCbskSJp7hc3tz7mtm5r76vlw+vqrp6pmc43IPTQ74fMJie6p6Z/6tX9X//6/3LCXXNx32U9FSoJBhb9Wi0WoQMgWEIf0t8qdogYoeIh0PMr1U3JNGarptrGoKrS2W++9Y1dbHWW2RiXgKxHe7wJskr9XMs03eLvcnpZnkEXfRszEYIQcKxSEUslko1vvmj8zx/Zh47ZPgPAi64sXRv4+NapY5lCpLrFHel3vIt4qQTwg4ZxMPqezZus1Zp8HdvX+PHZxd8OWZWK4xlo9ghg1NXVqg1W9ghVdJ2Zans18D3xWySTojVct1XroCvfD2LG+DhAzmeumuYPemNfSZUXqBBsdokn2zXaQ+nIwylHa4sta0sQwjShz7NWupg+2auNWgJk0jY6vibniKFtlfw4zMLvHZpifdn1vizly7xxz+5gJSwvz+GlCoJ9o0fnuPUlc5a8j1p1QO6JQxMU5CKKDltO8RgysG2w35ddLHWoNWSvHJhkXpTYhoCJ2T6Me6IbfjnJ+GEOjybwF276gAAGcpJREFULdsUuCwW60TD7XMbtUMIIfxrMh13/KQlqDh/t78btAbPzRc5O1tgZrXiW7UykOhrmBFO7nmWFVdxX14s8V++f5r3r6lz7O2JAHX9SAljfeqBFY2W3LJ09oPwFoVsXG1m26x1sff/K7Wmn2vxvDHDELdEcZfrza7J92p988odz4iIh0M6xh0kZGy0uBtNSchUYpqGQaMlWSrVSUcs7hhOsVSq837gRgd1wZmm8JXv21Orfhwy6a6WXjOo5UBc2bO4I7bpV6C8eH6BSr3Z4VoNpRyE6Mzu98XaiisZsShWVd+RelPSHw/zKw+M8ejBHI2WVOEK92ZdqzSwTIO4q7xMQ2AIQSVgcScc9V46ahGzTdJRm+VSzV/ovvf2DG9eXWGt0mAsG+Nzh/Ps64/xlYcm+PVHJvzQiEc2ZpOMWJybK7JYrPHQZI7JfNwPx4TdRcYyBfeM9xGxTZ4+NswD+7McG1WPHfMWotcuLbFSrpOO2hwbTfOlu/cCsDcT8edUCOhPhFV9vAEnLy/zIzfWL00Ly+7s0vb65ZWOhQ5UHmEiF+PRg/3+eQM4MKDa2r41tUK13uKtqVWycdv//T3uXElUQikZsV354hhCMJJrP6ezVG3y9vQqPzytqlkMIfzdk8Wq8oyeOTbMrzwwRiZqdxgY20kWLxVrRO22he2FXrKxMGHLIJEfpxhXj+LKJ8NICRe7JPWCSsXzTn56aYm/fPkyU8tlqu6uXO8cgLLAq40m33l9Cmgn1CFQOuh6UuO5dlhueZuJ12544bese2+Uak1Oz6zx3beudXwuGCrxFirP8jaEUBUmUjJfuPG2CN6iJ2X3BGx5C8XtzXHSsXY8xt0DnWfamMZGi7vu9uIGpQTWKg0VD4zZHByI8+J5m1OXVxhIONRbLfIJh1ZLWdzBJ+F49aqOZRKxTP9iXXAvhmzc9m+CqGWy5C7yr11a5vRMgWq9RTwcolBtMJB0KNaarJbr2CHDt2I9UpHOBkLVZoukY/nlggD7+uPMFxZV2ZnZDpU4lqEuKrd+O2Kb/g344GSOar1JqdZ0N/o0mMzHWS7X/YZbgymH4XTEV2gAuXiY2dUqw+kIUytlsnGbhPv/Ek6Ie8YzCCH8v+FZRhO59m63cMjk/n1ZzswWeO3SMvtyMf/8gLJCHpps96QYyUR5kUX64japiMVQSlns49kYlxZLvHxBueD5/MOIyTGYW/bnuNGSHB5K8P5MgUK1wVqlzlKpztG9ae4ey3D3WIbz80UuzBf9BcKz7mqNFgNJB9usMb1SIe6ESEUsZFGFv7IJB2gx3p+EqzAxkGFwxaHZkqxW6rwQCD2FTOEnxQvVBpYpGHfHnY5aXApEEQrVBicvLxOxTG4bVOf+jSsrzK5ViIeVdV+oNohYJkVTeWCW6c1rlk+NpDBSEc7nY1CocXgoyUJhngvznV0LvTF6LLqhOE/BT69U/D0Pmajth7XK9aaK7XdRSMVak3RUJdXTUcsPJ4LaUbutPvFdCFrczKjF7+xcgXem13hoMkfMNpGy0wr2FXe16YZKBC0pODtX4G9en+af3z9KPnH9T2YKjr9Ua24If3mhkoabFA4mpNuGlDL+djLG3VOKe7MYt+Vb3MK3ivvc0MRwOsL7MwWee3+WhUKNX3t4gnK9iWkIZgKNizoUt23y7rU15gpVlkt1cnGboVSEhUKNhHuje27R8bEMP3VrOnMJm0K1QS4eZqFYY7VcZ6QvSjhkMJlvKzlPcecSYQRw/74sgK8sAQ7k47zkxg+95CTgNzaaXqnQbMmO3xl23f6ZwOPR9vfH2dcf4w+eOwtAPrGxx/BwOsLpmTV+7s4hKvUmCcfyz+lELoZwLXfv/O9JR8jGwpwY3/hQC2+BysbD3DvRx9G9Kc7NFdXzEAMMpRylKGNhfvaOQf/4E7er1y+eW+DHZxeYlSmI5xlMVVgs1njy6BCLxRrHR9NMLavqHK9CZyTTfvTVRC7GhKtEY2Gzo0xzIOlgCMH0SoWoFSITtVkUIULCoD8Z4zce7Se+cgauQsRx+OXbRvnB+3P+PHuLeKnW9D0jaO8DAPwkd9gtF7y2UuH1K8tIqa7fsWyU596bpSVVhYrnTRqDd9CauUYskOhMOhZJ16squsquPx5mMOkw5SZAgzHV1Uqdk5eX+dTelL9b1XtvZrXiXwOZqMXMaoWobVKqNTk/V8Q0BLGwCpMJoSzPkht/vrZSYaQv4it+ULKvVRsbjJFCteHXuXt49diNpurt4sXZc3ElT7neZNVVftPLZQrVBi+dX/Q911Kt6c9jsdrAFIZ6prOEy27Y7dpKpavirtSb/J9T0zx2KN9hRK2nQ3FXmxBXMX8hQAjRUUtea7T8HAm0q7DijgqV3OwNYx+G3lLc3UIlrZavUEKm8K3iPtcqSEctKvUmU8sVao0WL5xb5PRMgaPDKd5zy9VChvDjf45lELFUtclyqc5QyuHzRwZ44ZxSokeHUxiGYKQvyu88NokdMnjz6gq1RouxbIxCpcFoX1RtXQYS4RCPHeos5vcu8vFslEcOtDcjeTcn4Mc1lXwqfi2EClOMZqO8cmGJkCl4/NDGjQJq0VI3XSZm4VgmX35gjIVizVfIQW7fk2R/f5yIbRJzFwjvZjoUULhenD0cMrhnvK/bFJGJWjx2KM/BAbVQ7c1E2ZuJbvhcyDR46q7hDTe8x70TfRSqDT8M9IsnRpBSeR+eQg4m/BzLpL/LogSQjtgUq2VfiQ4mHd/bitgmmZjNeWeYysiTkBgk7j10GfwHLgcV6YP7c/yNG1IIKqZQYFt+yg25pCIWK9R5w605zyXCPH9mnsVikqaUfPmBcS4sFPmB2/ExfOfT7Gm2yG7Sb8RTdumoxd5MxL9uI5bpGxPXVipccy3r9X1LZlYrpCMWhhCMZWO8e22NvphNqVbm7FyBvBuyWi3XSUUslkt1plcq7ElHKFQb5JOOP2bD9Vq9zwb50xcuUq41+ZePT/rK7u/fnaVSb2KZBsVqgyN71LWVc0N1xWrDt1qnViosFqsdydHFYs2ft0K1QRKBKQRSwrTb/Mwz3NYztVzm0mKJd6+t8uD+zbsRdijuulqw/uSFi9w2mCAXD3fkLTYq7gZR23Q36BnXvZfiZtBTirvdA2Cdxe1aOgNJx1fcniXqhR+8CXnh3AKDKYfP3NbPna5F8urFJX/CnVA79HBoMMFnDw8ASmGvlut8aiTt/2/vc8dHM7xwbsGNVY8DbSUXnFiPhGPxxO0DjGdjHce92PG+/liHgo3YKoEYs0OELYMH9+e4Z7wPAX58P4hlGqQjFkuluu/WZuNhsvHuik0IsUHOQ4MJ9mYivuIEODaSwTIN7tiz+RO/hRDcFThHWzGa3ajQg3/HO/fghck63fH792W5slTmkQM56s2W7xmsJx21uLpc5sH9OebWqvQnwiScEGXXYu6L2iAMjKGjgX7c7nl1k4HeggYwmY/zzLFhhtJOR6lfcM4yrsUdtU1uG0jwozPzTORiHB1O8e2TU7x8YZEDA3G1yAI/YA7TEKQiVof7vZ59/THOzRWJh0MMZyJwXh13bHNDCeiL51VYJxe3mS/UCFsGy6U6b0+vMpR2/NxGLhHmylKZUq3J4aGkrywzUeVpvnpxyZepPx72K7iG0g5X3eqckXVyegvMKxeXuDBfJGQaLJeUl2Iaqg7de5101EJSrDb98zm1XPZ3aYIyroK146VakyQq31NvwYp7/8663yv1Js+fmefB/Tkitunf31cWy7C/+7k9N1dguVz3F6RSrcnsWpXFoirtfPXiUodiV6WDgcR5te6HNHMxm3NzBWqNVke+Z3qlwhfuGNz0Wr1Z9JTi9lzRYGe6RrN9Yo6Npnnbrdn1Ym7pgCXgnavHD+UJmQb5pEM+6XBxodhW3JbpXzCeZQcqNvzP3MTaeu7f18dIX8QPVQCk3Bs36FYGub2L8hNC8Fuf3t9OnKUdyrUm905k3d9J+oq0m+UcpD/hUG/KDovww+BVwAQxDMGde7enlD8KDg8l/RDMVuP0PJCDA3F/UYkFYu7juSiT+bhv+QGBJwl5Fnc75q9+x62ssNpGRLCOOxWxEAIiVogT430cGEgQDhnYpuG76p9zF6Z01PIV9lZKG+DJo0PUGmqRGkpFfCUTdcfveRWgEpOOZXJgIMF8YYGjwyleubDEWqXBsdE0+USYp48NE7FMTrq5iH39MS7MK6vSDhl89nCe8/PFjjCRYQjunehjJBP1d4kmnBBXl8okI1ZHWPDNqysUq01Cpmp85oWKQFnHUdvEMAQR22CuUKElJfFwqKOUFtT95BllXt7IqyqRqPLEbNz2q8jOzxc5dWWFdNTm7rEMc26uanql4itTKSVvXF1hf3+cUq3Jt09O+XNcqqnkv7fpyvPYgwR/llIys1r1czuDKQcplYfjJfUvLpRYq9RvudKGHlPcZrcYd0sSc5VYPuGwPx/viDt6N5CU8OjBfkwhGEh2xsAODyV5Z1qFTcIhg4MDCX5SWNiwqWUzhBAbwgFeqGZ9/fUHEbR8f/HESMckPzi5/YbzDx/I3dyeybuYO/em2ZOObEg0eSQciy8G6uCBdqjEbMeqgY7FGdSCEQ+HGEg5HB1uL8Yh1zPxNl0FQwm/dM8IIUP43pIQgscO5TuS5Zthme2kpR0yGEiGVcLRvW4S4RDVeo1M1KLSaPFP7hzCDhm8PbXKsdEMe9IRXr+8zG2DSYQQTORitFqSRw7kGO2Lkk86vhETdhOkw5kIZ2cLRG3TP4deuOGe8Qynrq7wg/fnWCzWELST/nvSjt+/PVhb7nF1qcyAm5SO2iE/5/TQZG5DZclwOuIr7mzMZnqlgkSoNgXuPXJkKMkPT89zZq7gK/53r61Sa7S4uFDyY/lTy2XGczFm16p8/51Z1iqNDms+bJkkIxZXl8q+sdctXt2ZBFY7eb3y0kF3XJ7iVoq94i/4t5qeUtzrN72A6sYVbPn58+tuwJBpkHAsStUGd+1Nd81+j2Vj3DfRx9XlMoYhuG+ijxNjma5hiO2STzr80+PDjHSJ726XG1mZUxFr0/jxJw07ZPg31LaJZiE9AgmVLM0nwjxx+wAH8omOj5mG4Ncfmeg6V587MrDhGHT3Diau84Ye6Ysyu1b1PTvT9UqP7k1xfDTjy/WVh1UZYbw/zv7+zt7XhiE4EchZrE+Ej7iKu1uo7cHJHKYh/M1XVkj45ZJHhlK+4u5GoyUZTHqKux3OGEiGeexQnnenV/2yxKPDKSZyMb/d8fRKRVncQvgPCz66N8Xp2QL/781r/vmYXa0y6y4IR0bTnLy0zEKxynhOhZxA9bQJNkALmwajfVF+4o6pPxHuGjsP1st7cnoLe9RWRQze8dVKg1Kt6Y/3VtNTddyeG+kVxrfcXYbx8NYKKhe36U+EtyxZenAyxy+cUJE6IcQNKW2PsWzsusqkND2AFYFj/wIcZUULIbh9T6qj9tnjo3B9N+Oe8T5+4cRePz/iJWyTjnXdcnnxfM/L8LzJ9fX+Hl5oJOGEmMzHfUt0PBclYpsdC9V4LspwJuJbsgPJtsXtEXdC3DWS9rf7g1pE9vXHOTHe54ekJGrTncQgFjYJh0yeOTaMZRoUqg0ODSYYTDkcH1PVTwfycRzL9GvPvTDIQqFGvSlVzgC10I+63rZlCh52PV3vfHh6yBvnWqXOu9fWiNqmX00EMJyJcGmxRKXeZNat9Frv7d8qesriNtftnFxzu6l9kGX5+SMDN7fZukbTI9ghg6FUhMuLqrokFbFYLNY69gR8WLw4vme15uI2x8cyHB5MdP18Nh5WCjmtSl/fnlrFNFQJ68OTOUKm4PvvzGIIwRfvVB7xt35ykdVynQF3R+1dI2nemV7FDhm+pb9+nB6eMTSajWEvGSCEv9g4lsmJ8Qw/Oj3PwcGE71087HoGmahK2q+U627oIsqF+ZLa25CPc3WpTKMlGUg6xMImBwcSftgjG7N54sggQsAfPX+BWqNFqyX561evsFSqc99EX8dieWxE5dxePL/IcqmGaYjOPMotpLcU97oYt+feBFe5bmwW29RoPi7kE2FyiTA/c/sgUyvlTUsjt0PCsfjS3Xt9hSWE4NMHt+6h/8wxlbj39hCo8lXBHW7c/9TlFSTtXc6piEW10fSNrsGUw29/Zv+G8sXRviiXFksdivvwYJJao8V90SILrwok7X0OoBRmPBxiIlC15VnJ6ajFlaUyb15dQQh47LY8zzHH3WOZQN+hBqYh+PID49imSoCmIhb5pEMmZiOlquu+tlrh5QuLLJXq/NydQxwc6FzY8kmHsWyUn15cQgg4MdZ3Uzz57dBTGm99jNtr1JTUsVzNJ5zxXMxPfK2PYV8P203MrycXVx0ME+uS8p8/MkDQ6b17LEOx2uiwUB3L3BD//+Kn9rBSrndU26SilmptMD3tN6YKKu6QaWzY8OWRjtq8M73GycvL7OuPk47aPH1sGFAtB6C9ySkoyy/dM+InhYVQZYinZwqcnimQiVpMbnLOnzw6xNxalYQTuiEv6MPSU4q73dipxXKpxtxaFUMIEuGeElOj+cRiGoLb9yQ3KKnMut2K203G2iFjc+8hMcSas4eaiHco7q3IBPZ1HFu338AzAG/fs1Hpx9b9fc/r//Rt/UxskctyLPO6F8Eboac0ol/H3ZT80fMXAOX66ASgRtM7BDdO3VLi/Zzb+zSt6dUNinUzvLBqN4VqGoKvPT7Z0YJ4M+yQQaMpOT66se1DL9BTits7n8GOfcGnwmg0mk8Wd42kOTdf2LYF3x/oodOND9rY5vGVhyYweqrmrpOeUtxCqPKfYBOlB9wGTRqN5pPHYMrhq5+Z3PbnDUN0dKm8Xrq1sugltrWmCCF+VgjxnhDijBDi67dSoIht+juovvrYfu7Tiluj0Wg62M4zJ03g94EvAEeAXxZCHLlVAnm9jNNRq2u9p0aj0XzS2Y7FfS9wRkp5TkpZA/4ceOpWCeR1pruROlWNRqP5OLOdGPcwcDnw8xXgvvUfEkL8JvCbAKOjo+vf3jaZmM2jB/v9zQEajUaj6WQ7Fne32pkNG8yllN+QUp6QUp7o7996F9YHcfdYZkOXNo1Go9EotqO4r0BHH/W9wNStEUej0Wg0H8R2FPfLwAEhxIQQwgaeBb5za8XSaDQazWZ8YIxbStkQQnwN+C5gAt+UUr51yyXTaDQaTVe2tQFHSvm3wN/eYlk0Go1Gsw16eFOnRqPRaLqhFbdGo9HsMrTi1mg0ml2GVtwajUazyxDeEyZu6h8VYg64eJ2/ngPmb6I4O4keS+/xcRkH6LH0Ktc7ljEp5bZ2L94SxX0jCCFekVKe2Gk5bgZ6LL3Hx2UcoMfSq3wUY9GhEo1Go9llaMWt0Wg0u4xeVNzf2GkBbiJ6LL3Hx2UcoMfSq9zysfRcjFuj0Wg0W9OLFrdGo9FotkArbo1Go9ll9Izi/igfSHwrEEJcEEK8IYQ4KYR4xT3WJ4T4nhDitPs9s9NydkMI8U0hxKwQ4s3Asa6yC8V/defplBDi+M5JvpFNxvJ7Qoir7tycFEI8GXjv37pjeU8I8TM7I3V3hBAjQoh/EEK8I4R4Swjxr9zju25uthjLrpsbIYQjhHhJCPG6O5Z/7x6fEEK86M7LX7htsBFChN2fz7jvj9+wEFLKHf9CtYs9C+wDbOB14MhOy/Uhx3AByK079h+Br7uvvw78h52WcxPZHwWOA29+kOzAk8D/RT0Z6X7gxZ2Wfxtj+T3g33T57BH3WgsDE+41aO70GALyDQHH3dcJ4H1X5l03N1uMZdfNjXt+4+5rC3jRPd9/CTzrHv9D4Lfd118F/tB9/SzwFzcqQ69Y3B/pA4k/Qp4CvuW+/hbw9A7KsilSyn8EFtcd3kz2p4A/looXgLQQYuijkfSD2WQsm/EU8OdSyqqU8jxwBnUt9gRSymkp5U/d12vAO6hnwO66udliLJvRs3Pjnt+C+6PlfkngceCv3OPr58Wbr78CPiuE6PZIyG3TK4q72wOJt5rUXkQCfyeEeNV9cDLAgJRyGtSFC+R3TLoPz2ay79a5+pobPvhmIGS1a8biutfHUNbdrp6bdWOBXTg3QghTCHESmAW+h/IIlqWUDfcjQXn9sbjvrwDZG/n/vaK4t/VA4h7nISnlceALwO8IIR7daYFuEbtxrv4A2A/cBUwD/8k9vivGIoSIA38N/Gsp5epWH+1yrKfG02Usu3JupJRNKeVdqGfw3gsc7vYx9/tNH0uvKO5d/0BiKeWU+30W+N+oyZzxXFX3++zOSfih2Uz2XTdXUsoZ90ZrAf+Ntsvd82MRQlgoRfc/pJT/yz28K+em21h289wASCmXgedQMe60EMJ7qlhQXn8s7vspth/O60qvKO5d/UBiIURMCJHwXgNPAG+ixvCr7sd+Ffj2zkh4XWwm+3eAL7sVDPcDK57b3qusi/M+g5obUGN51s36TwAHgJc+avk2w42D/nfgHSnlfw68tevmZrOx7Ma5EUL0CyHS7usI8DlUzP4fgC+5H1s/L958fQn4e+lmKq+bnc7QBjK1T6IyzWeB391peT6k7PtQGfDXgbc8+VFxrO8Dp93vfTst6yby/xnKTa2jrINf20x2lNv3++48vQGc2Gn5tzGWP3FlPeXeREOBz/+uO5b3gC/stPzrxvIwyqU+BZx0v57cjXOzxVh23dwAdwKvuTK/Cfw79/g+1OJyBvifQNg97rg/n3Hf33ejMugt7xqNRrPL6JVQiUaj0Wi2iVbcGo1Gs8vQiluj0Wh2GVpxazQazS5DK26NRqPZZWjFrdFoNLsMrbg1Go1ml/H/ATgWgqCA2MkmAAAAAElFTkSuQmCC
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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=" 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>
<ul>
<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>As noted above, the biased dataset makes it harder for the network to innovate. The faces are mostly white, and most of them follow Hollywood's starndards of beauty that often don't reflect what the real people look like.</li>
<li>The photo angles are different. I wonder if having all photos taken from a similar angle would make it easier for the network to train and too learn that faces are usually more or less symmetrical.</li>
<li>The images are of very low resulution, which makes it harder to add more CNN layers.<ul>
<li>But I could still add residual blocks.</li>
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<li>I could also try using label smoothing for the discriminator</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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