image_classifier Project.html

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<title>image_classifier Project</title>

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
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fieldset[disabled] .notification_widget.success:focus,
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fieldset[disabled] .notification_widget.success.focus {
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}
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}
.notification_widget.info:active:hover,
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.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
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  background-color: #269abc;
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}
.notification_widget.info:active,
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fieldset[disabled] .notification_widget.info:focus,
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fieldset[disabled] .notification_widget.info.focus {
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div#pager {
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div#pager pre {
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.quickhelp {
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  -webkit-box-align: stretch;
  display: -moz-box;
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  /* Modern browsers */
  display: flex;
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  align-items: stretch;
  line-height: 1.8em;
}
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}
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  -moz-box-flex: 1;
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span.save_widget {
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  margin-top: 4px;
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  border: none;
  font-size: 146.5%;
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span.save_widget span.filename:hover {
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}
[dir="rtl"] span.save_widget.pull-left {
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}
[dir="rtl"] span.save_widget span.filename {
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}
span.checkpoint_status,
span.autosave_status {
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}
@media (max-width: 767px) {
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  margin-bottom: 5px;
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  margin-right: 0.3em;
  padding: 0px;
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}
.toolbar-btn-label {
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}
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  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
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  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 {
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}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
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  color: white;
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/**
 * 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 {
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  to {
    opacity: 0;
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}
@-webkit-keyframes fadeOut {
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}
@-moz-keyframes fadeIn {
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}
@-webkit-keyframes fadeIn {
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}
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  height: 200px;
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  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
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}
/*properties of tooltip before "expand"*/
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  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
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  height: 80px;
}
.tooltipbuttons {
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  top: 0px;
  right: 0px;
}
.tooltiptext {
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}
.ipython_tooltip {
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  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
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  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
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  height: 16px;
  overflow: hidden;
  position: absolute;
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.pretooltiparrow:before {
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  z-index: 11;
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  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
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  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
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[dir="rtl"] ul.typeahead-list i {
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ul.typeahead-list {
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.cmd-palette .modal-body {
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}
.cmd-palette input {
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.no-shortcut {
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  color: transparent;
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[dir="rtl"] .no-shortcut.pull-right {
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  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
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  float: left;
}
.command-shortcut:before {
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  padding-right: 3px;
  color: #777777;
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.edit-shortcut:before {
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[dir="rtl"] .edit-shortcut.pull-right {
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#find-and-replace #replace-preview .insert {
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[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
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#find-and-replace #replace-preview .replace .insert {
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  border-radius: 0px;
}
#find-and-replace #replace-preview {
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  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 {
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  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);
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.terminal-app .terminal,
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  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
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}
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  background: white;
}
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}
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<h1 id="Developing-an-AI-application">Developing an AI application<a class="anchor-link" href="#Developing-an-AI-application">&#182;</a></h1><p>Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software development in the future will be using these types of models as common parts of applications.</p>
<p>In this project, you'll train an image classifier to recognize different species of flowers. You can imagine using something like this in a phone app that tells you the name of the flower your camera is looking at. In practice you'd train this classifier, then export it for use in your application. We'll be using <a href="http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html">this dataset</a> of 102 flower categories, you can see a few examples below.</p>
<p><img src='assets/Flowers.png' width=500px></p>
<p>The project is broken down into multiple steps:</p>
<ul>
<li>Load and preprocess the image dataset</li>
<li>Train the image classifier on your dataset</li>
<li>Use the trained classifier to predict image content</li>
</ul>
<p>We'll lead you through each part which you'll implement in Python.</p>
<p>When you've completed this project, you'll have an application that can be trained on any set of labeled images. Here your network will be learning about flowers and end up as a command line application. But, what you do with your new skills depends on your imagination and effort in building a dataset. For example, imagine an app where you take a picture of a car, it tells you what the make and model is, then looks up information about it. Go build your own dataset and make something new.</p>
<p>First up is importing the packages you'll need. It's good practice to keep all the imports at the beginning of your code. As you work through this notebook and find you need to import a package, make sure to add the import up here.</p>

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

<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</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">seaborn</span> <span class="k">as</span> <span class="nn">sb</span>
<span class="kn">import</span> <span class="nn">torch</span>

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

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_dir</span> <span class="o">=</span> <span class="s1">&#39;flowers&#39;</span>
<span class="n">train_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/train&#39;</span>
<span class="n">valid_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/valid&#39;</span>
<span class="n">test_dir</span> <span class="o">=</span> <span class="n">data_dir</span> <span class="o">+</span> <span class="s1">&#39;/test&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Define your transforms for the training, validation, and testing sets</span>
<span class="n">train_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">RandomRotation</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomResizedCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">RandomHorizontalFlip</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                       <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                            <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">test_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>
<span class="n">validation_transforms</span> <span class="o">=</span> <span class="n">transforms</span><span class="o">.</span><span class="n">Compose</span><span class="p">([</span><span class="n">transforms</span><span class="o">.</span><span class="n">Resize</span><span class="p">(</span><span class="mi">256</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">CenterCrop</span><span class="p">(</span><span class="mi">224</span><span class="p">),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">ToTensor</span><span class="p">(),</span>
                                      <span class="n">transforms</span><span class="o">.</span><span class="n">Normalize</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">],</span> 
                                                           <span class="p">[</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])])</span>


<span class="c1"># TODO: Load the datasets with ImageFolder</span>
<span class="n">train_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">train_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">train_transforms</span><span class="p">)</span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">test_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">test_transforms</span><span class="p">)</span>
<span class="n">valid_data</span> <span class="o">=</span> <span class="n">datasets</span><span class="o">.</span><span class="n">ImageFolder</span><span class="p">(</span><span class="n">valid_dir</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">validation_transforms</span><span class="p">)</span>

<span class="c1"># TODO: Using the image datasets and the trainforms, define the dataloaders</span>
<span class="n">trainloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">train_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">testloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">test_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">)</span>
<span class="n">validloader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span><span class="n">valid_data</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">)</span>
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<h3 id="Label-mapping">Label mapping<a class="anchor-link" href="#Label-mapping">&#182;</a></h3><p>You'll also need to load in a mapping from category label to category name. You can find this in the file <code>cat_to_name.json</code>. It's a JSON object which you can read in with the <a href="https://docs.python.org/2/library/json.html"><code>json</code> module</a>. This will give you a dictionary mapping the integer encoded categories to the actual names of the flowers.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;cat_to_name.json&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">cat_to_name</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
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<h1 id="Building-and-training-the-classifier">Building and training the classifier<a class="anchor-link" href="#Building-and-training-the-classifier">&#182;</a></h1><p>Now that the data is ready, it's time to build and train the classifier. As usual, you should use one of the pretrained models from <code>torchvision.models</code> to get the image features. Build and train a new feed-forward classifier using those features.</p>
<p>We're going to leave this part up to you. If you want to talk through it with someone, chat with your fellow students! You can also ask questions on the forums or join the instructors in office hours.</p>
<p>Refer to <a href="https://review.udacity.com/#!/rubrics/1663/view">the rubric</a> for guidance on successfully completing this section. Things you'll need to do:</p>
<ul>
<li>Load a <a href="http://pytorch.org/docs/master/torchvision/models.html">pre-trained network</a> (If you need a starting point, the VGG networks work great and are straightforward to use)</li>
<li>Define a new, untrained feed-forward network as a classifier, using ReLU activations and dropout</li>
<li>Train the classifier layers using backpropagation using the pre-trained network to get the features</li>
<li>Track the loss and accuracy on the validation set to determine the best hyperparameters</li>
</ul>
<p>We've left a cell open for you below, but use as many as you need. Our advice is to break the problem up into smaller parts you can run separately. Check that each part is doing what you expect, then move on to the next. You'll likely find that as you work through each part, you'll need to go back and modify your previous code. This is totally normal!</p>
<p>When training make sure you're updating only the weights of the feed-forward network. You should be able to get the validation accuracy above 70% if you build everything right. Make sure to try different hyperparameters (learning rate, units in the classifier, epochs, etc) to find the best model. Save those hyperparameters to use as default values in the next part of the project.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Pre-Trained Network</span>
<span class="n">model</span> <span class="o">=</span> <span class="n">models</span><span class="o">.</span><span class="n">vgg16</span><span class="p">(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="c1"># Freeze Parameters</span>
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
    <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>

<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre>Downloading: &#34;https://download.pytorch.org/models/vgg16-397923af.pth&#34; to /root/.torch/models/vgg16-397923af.pth
100%|██████████| 553433881/553433881 [00:28&lt;00:00, 19190874.23it/s]
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Neural Network Class: feedforward method</span>
<span class="c1"># made NeuralNetwork with arbitrary number of hidden layers, for easier to test out which combo gives best results</span>
<span class="k">class</span> <span class="nc">NeuralNetwork</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="c1"># define layers of the neural network: input, output, hidden layers, dropout</span>
    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_size</span><span class="p">,</span> <span class="n">output_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">,</span> <span class="n">drop</span><span class="p">):</span>
        
        <span class="c1"># calls init method of nn.Module (base class)</span>
        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
        
        <span class="c1"># input_size to hidden_layer 1 : ModuleList --&gt; list meant to store nn.Modules</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">ModuleList</span><span class="p">([</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="mi">0</span><span class="p">])])</span>
        
        <span class="c1"># add arbitrary number of hidden layers</span>
        <span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">j</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">hidden_layers</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span>
        
        <span class="k">while</span> <span class="n">i</span> <span class="o">!=</span> <span class="n">j</span><span class="p">:</span>
            <span class="n">l</span> <span class="o">=</span> <span class="p">[</span><span class="n">hidden_layers</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">hidden_layers</span><span class="p">[</span><span class="n">i</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">hidden_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">Linear</span><span class="p">(</span><span class="n">l</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">l</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
            <span class="n">i</span><span class="o">+=</span><span class="mi">1</span>

        <span class="c1"># check to make sure hidden layers formatted correctly</span>
        <span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">hidden_layers</span><span class="p">:</span>
            <span class="nb">print</span><span class="p">(</span><span class="n">each</span><span class="p">)</span>
        
        <span class="c1"># last hidden layter -&gt; output</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">output</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">hidden_layers</span><span class="p">[</span><span class="n">j</span><span class="p">],</span> <span class="n">output_size</span><span class="p">)</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">p</span> <span class="o">=</span> <span class="n">drop</span><span class="p">)</span>
        
    <span class="c1"># feedforward method    </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">tensor</span><span class="p">):</span>
        
        <span class="c1"># Feedforward through network using relu activation function</span>
        <span class="k">for</span> <span class="n">linear</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_layers</span><span class="p">:</span>
            <span class="n">tensor</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="n">linear</span><span class="p">(</span><span class="n">tensor</span><span class="p">))</span>
            <span class="n">tensor</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">tensor</span><span class="p">)</span>
        <span class="n">tensor</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output</span><span class="p">(</span><span class="n">tensor</span><span class="p">)</span>
        
        <span class="c1"># log_softmax: better for precision (numbers not close to 0, 1)</span>
        <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">log_softmax</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Validation: accuracy and validation set loss</span>
<span class="k">def</span> <span class="nf">valid</span><span class="p">(</span><span class="n">criterion</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">validloader</span><span class="p">):</span>
    <span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">val_loss</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">validloader</span><span class="p">:</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>

            <span class="c1">#forward</span>
            <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">val_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

            <span class="c1">#tensor with probability, tensor with index of flower category</span>
            <span class="n">prob</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span> <span class="c1">#tensor with prob. of each flower category</span>
            <span class="n">pred</span> <span class="o">=</span> <span class="n">prob</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="c1">#tensor giving us flower label most likely</span>

            <span class="c1">#calculate number correct</span>
            <span class="n">matches</span> <span class="o">=</span> <span class="p">(</span><span class="n">pred</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
            <span class="n">correct</span> <span class="o">+=</span> <span class="n">matches</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            <span class="n">total</span> <span class="o">+=</span> <span class="mi">64</span>
            <span class="n">accuracy</span> <span class="o">=</span> <span class="mi">100</span><span class="o">*</span><span class="p">(</span><span class="n">correct</span><span class="o">/</span><span class="n">total</span><span class="p">)</span>
        
        <span class="k">return</span> <span class="n">val_loss</span><span class="p">,</span> <span class="n">accuracy</span>
        
    
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre>VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Sequential(
    (0): Linear(in_features=25088, out_features=4096, bias=True)
    (1): ReLU(inplace)
    (2): Dropout(p=0.5)
    (3): Linear(in_features=4096, out_features=4096, bias=True)
    (4): ReLU(inplace)
    (5): Dropout(p=0.5)
    (6): Linear(in_features=4096, out_features=1000, bias=True)
  )
)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Train function: will use GPU (faster)</span>
<span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epochs</span><span class="p">,</span> <span class="n">print_every</span><span class="o">=</span><span class="mi">60</span><span class="p">):</span>
    
    <span class="n">valid_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">validloader</span><span class="p">)</span>
    <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
    
    <span class="n">steps</span> <span class="o">=</span> <span class="mi">0</span>
    
    <span class="c1"># change to cuda</span>
    <span class="n">model</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>
    <span class="n">e</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="k">while</span> <span class="n">e</span> <span class="o">!=</span> <span class="n">epochs</span><span class="p">:</span>
        <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="n">val_loss</span> <span class="o">=</span> <span class="mi">0</span>
        <span class="k">for</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="ow">in</span> <span class="nb">iter</span><span class="p">(</span><span class="n">trainloader</span><span class="p">):</span>
            <span class="n">steps</span> <span class="o">+=</span> <span class="mi">1</span>

            <span class="n">inputs</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">inputs</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>

            <span class="c1"># don&#39;t want to sum up all gradients for each epoch</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>

            <span class="c1"># Forward and backward passes</span>
            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span>
            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
            <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>

            <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            

            <span class="k">if</span> <span class="n">steps</span> <span class="o">%</span> <span class="n">print_every</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
                
                <span class="c1"># inference</span>
                <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
                <span class="n">val_loss</span><span class="p">,</span> <span class="n">accuracy</span> <span class="o">=</span> <span class="n">valid</span><span class="p">(</span><span class="n">criterion</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">validloader</span><span class="p">)</span>
                
                <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Epoch:</span><span class="si">{}</span><span class="s2">/</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">e</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">epochs</span><span class="p">),</span> <span class="s2">&quot;... Loss:</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">running_loss</span><span class="o">/</span><span class="n">print_every</span><span class="p">),</span>
                      <span class="s2">&quot;Validation Loss:</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">val_loss</span><span class="o">/</span><span class="n">valid_len</span><span class="p">),</span>
                      <span class="s2">&quot;Validation Accuracy:</span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="p">))</span>
                <span class="n">running_loss</span> <span class="o">=</span> <span class="mi">0</span>
                <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
            
        <span class="c1"># next epoch</span>
        <span class="n">e</span> <span class="o">+=</span> <span class="mi">1</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Hyperparameters</span>
<span class="n">input_size</span> <span class="o">=</span> <span class="mi">25088</span>
<span class="n">output_size</span> <span class="o">=</span> <span class="mi">102</span>
<span class="n">hidden_layers</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1500</span><span class="p">,</span> <span class="mi">400</span><span class="p">]</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">5</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.001</span>
<span class="n">drop</span> <span class="o">=</span> <span class="mf">0.2</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create the classifier, define the criterion and optimizer</span>
<span class="n">classifier</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="n">input_size</span><span class="p">,</span> <span class="n">output_size</span><span class="p">,</span> <span class="n">hidden_layers</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span>
<span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>
<span class="c1"># NLLLoss b/c using log_softmax</span>
<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">NLLLoss</span><span class="p">()</span>
<span class="c1"># chose Adam optimizer for uses momentum (i.e. little bit more adv.) --&gt; trains faster</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">learning_rate</span><span class="p">)</span>
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<pre>1500
400
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">trainloader</span><span class="p">,</span> <span class="n">validloader</span><span class="p">,</span> <span class="n">criterion</span><span class="p">,</span> <span class="n">optimizer</span><span class="p">,</span> <span class="n">epochs</span><span class="p">)</span>
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<pre>Epoch:1/5 ... Loss:3.3975480635960897 Validation Loss:1.6894890207510729 Validation Accuracy:54.32692307692307
Epoch:2/5 ... Loss:0.42946076194445293 Validation Loss:0.8813670369294974 Validation Accuracy:74.27884615384616
Epoch:2/5 ... Loss:1.3832151333491007 Validation Loss:0.6517238238683114 Validation Accuracy:81.61057692307693
Epoch:3/5 ... Loss:0.6461963683366776 Validation Loss:0.6009541841653677 Validation Accuracy:80.76923076923077
Epoch:3/5 ... Loss:1.0358408669630685 Validation Loss:0.5260751106991217 Validation Accuracy:84.13461538461539
Epoch:4/5 ... Loss:0.7978236317634583 Validation Loss:0.49280285319456685 Validation Accuracy:85.21634615384616
Epoch:5/5 ... Loss:0.10140188237031302 Validation Loss:0.49323359704934633 Validation Accuracy:84.4951923076923
Epoch:5/5 ... Loss:0.8531532535950342 Validation Loss:0.48558233964901704 Validation Accuracy:85.9375
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<h2 id="Testing-your-network">Testing your network<a class="anchor-link" href="#Testing-your-network">&#182;</a></h2><p>It's good practice to test your trained network on test data, images the network has never seen either in training or validation. This will give you a good estimate for the model's performance on completely new images. Run the test images through the network and measure the accuracy, the same way you did validation. You should be able to reach around 70% accuracy on the test set if the model has been trained well.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">accuracy</span><span class="p">(</span><span class="n">testloader</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;</span>
<span class="sd">        Compute how accurate the trained model predicts data it was not trained on</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">correct</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">total</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">test_loss</span> <span class="o">=</span> <span class="mi">0</span>

    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
        <span class="k">for</span> <span class="n">data</span> <span class="ow">in</span> <span class="n">testloader</span><span class="p">:</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">data</span>
            <span class="n">images</span><span class="p">,</span> <span class="n">labels</span> <span class="o">=</span> <span class="n">images</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">),</span> <span class="n">labels</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="s1">&#39;cuda&#39;</span><span class="p">)</span>

            <span class="c1">#forward</span>
            <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">forward</span><span class="p">(</span><span class="n">images</span><span class="p">)</span>
            <span class="n">test_loss</span> <span class="o">+=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">labels</span><span class="p">)</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>

            <span class="c1">#tensor with probability, tensor with index of flower category</span>
            <span class="n">prob</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">output</span><span class="p">)</span> <span class="c1">#tensor with prob. of each flower category</span>
            <span class="n">pred</span> <span class="o">=</span> <span class="n">prob</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="c1">#tensor giving us flower label most likely</span>

            <span class="c1">#calculate number correct</span>
            <span class="n">matches</span> <span class="o">=</span> <span class="p">(</span><span class="n">pred</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">labels</span><span class="o">.</span><span class="n">data</span><span class="p">)</span>
            <span class="n">correct</span> <span class="o">+=</span> <span class="n">matches</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
            <span class="n">total</span> <span class="o">+=</span> <span class="mi">64</span>

        <span class="n">acc</span> <span class="o">=</span> <span class="mi">100</span><span class="o">*</span><span class="p">(</span><span class="n">correct</span><span class="o">/</span><span class="n">total</span><span class="p">)</span>
        <span class="k">return</span> <span class="n">acc</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">result</span> <span class="o">=</span> <span class="n">accuracy</span><span class="p">(</span><span class="n">testloader</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">criterion</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">result</span><span class="p">)</span>
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<pre>79.5673076923077
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<h2 id="Save-the-checkpoint">Save the checkpoint<a class="anchor-link" href="#Save-the-checkpoint">&#182;</a></h2><p>Now that your network is trained, save the model so you can load it later for making predictions. You probably want to save other things such as the mapping of classes to indices which you get from one of the image datasets: <code>image_datasets['train'].class_to_idx</code>. You can attach this to the model as an attribute which makes inference easier later on.</p>
<p><code>model.class_to_idx = image_datasets['train'].class_to_idx</code></p>
<p>Remember that you'll want to completely rebuild the model later so you can use it for inference. Make sure to include any information you need in the checkpoint. If you want to load the model and keep training, you'll want to save the number of epochs as well as the optimizer state, <code>optimizer.state_dict</code>. You'll likely want to use this trained model in the next part of the project, so best to save it now.</p>

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<h2 id="Loading-the-checkpoint">Loading the checkpoint<a class="anchor-link" href="#Loading-the-checkpoint">&#182;</a></h2><p>At this point it's good to write a function that can load a checkpoint and rebuild the model. That way you can come back to this project and keep working on it without having to retrain the network.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Save Checkpoint: input, output, hidden layer, epochs, learning rate, model</span>
<span class="n">checkpoint</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;input_size&#39;</span><span class="p">:</span> <span class="n">input_size</span><span class="p">,</span>
              <span class="s1">&#39;output_size&#39;</span><span class="p">:</span> <span class="n">output_size</span><span class="p">,</span>
              <span class="s1">&#39;hidden_layers&#39;</span><span class="p">:</span> <span class="n">hidden_layers</span><span class="p">,</span>
              <span class="s1">&#39;drop&#39;</span><span class="p">:</span> <span class="n">drop</span><span class="p">,</span>
              <span class="s1">&#39;epochs&#39;</span><span class="p">:</span> <span class="n">epochs</span><span class="p">,</span>
              <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="n">learning_rate</span><span class="p">,</span>
              <span class="s1">&#39;arch&#39;</span><span class="p">:</span> <span class="s1">&#39;vgg16&#39;</span><span class="p">,</span>
              <span class="s1">&#39;optimizer&#39;</span><span class="p">:</span> <span class="n">optimizer</span><span class="p">,</span>
              <span class="s1">&#39;class_to_idx&#39;</span><span class="p">:</span> <span class="n">cat_to_name</span><span class="p">,</span>
              <span class="s1">&#39;state_dict&#39;</span><span class="p">:</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">state_dict</span><span class="p">()}</span>

<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">,</span> <span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">):</span>
    <span class="n">checkpoint</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
    <span class="n">model</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">torchvision</span><span class="o">.</span><span class="n">models</span><span class="p">,</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;arch&#39;</span><span class="p">])(</span><span class="n">pretrained</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="c1"># Freeze Parameters</span>
    <span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">():</span>
        <span class="n">param</span><span class="o">.</span><span class="n">requires_grad</span> <span class="o">=</span> <span class="kc">False</span>
        
    <span class="n">classifier</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;input_size&#39;</span><span class="p">],</span>
                             <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;output_size&#39;</span><span class="p">],</span>
                             <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;hidden_layers&#39;</span><span class="p">],</span>
                             <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;drop&#39;</span><span class="p">])</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span> <span class="o">=</span> <span class="n">classifier</span>

    
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">load_state_dict</span><span class="p">(</span><span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;state_dict&#39;</span><span class="p">])</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;optimizer&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">epochs</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;epochs&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">learning_rate</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;learning_rate&#39;</span><span class="p">]</span>
    <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">class_to_idx</span> <span class="o">=</span> <span class="n">checkpoint</span><span class="p">[</span><span class="s1">&#39;class_to_idx&#39;</span><span class="p">]</span>

    <span class="k">return</span> <span class="n">model</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">model</span> <span class="o">=</span> <span class="n">load</span><span class="p">(</span><span class="s1">&#39;checkpoint.pth&#39;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
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<pre>1500
400
VGG(
  (features): Sequential(
    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (1): ReLU(inplace)
    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (3): ReLU(inplace)
    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (6): ReLU(inplace)
    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (8): ReLU(inplace)
    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (11): ReLU(inplace)
    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (13): ReLU(inplace)
    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (15): ReLU(inplace)
    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (18): ReLU(inplace)
    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (20): ReLU(inplace)
    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (22): ReLU(inplace)
    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (25): ReLU(inplace)
    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (27): ReLU(inplace)
    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
    (29): ReLU(inplace)
    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): NeuralNetwork(
    (hidden_layers): ModuleList(
      (0): Linear(in_features=25088, out_features=1500, bias=True)
      (1): Linear(in_features=1500, out_features=400, bias=True)
    )
    (output): Linear(in_features=400, out_features=102, bias=True)
    (dropout): Dropout(p=0.2)
  )
)
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<h1 id="Inference-for-classification">Inference for classification<a class="anchor-link" href="#Inference-for-classification">&#182;</a></h1><p>Now you'll write a function to use a trained network for inference. That is, you'll pass an image into the network and predict the class of the flower in the image. Write a function called <code>predict</code> that takes an image and a model, then returns the top $K$ most likely classes along with the probabilities. It should look like</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
</pre></div>
<p>First you'll need to handle processing the input image such that it can be used in your network.</p>
<h2 id="Image-Preprocessing">Image Preprocessing<a class="anchor-link" href="#Image-Preprocessing">&#182;</a></h2><p>You'll want to use <code>PIL</code> to load the image (<a href="https://pillow.readthedocs.io/en/latest/reference/Image.html">documentation</a>). It's best to write a function that preprocesses the image so it can be used as input for the model. This function should process the images in the same manner used for training.</p>
<p>First, resize the images where the shortest side is 256 pixels, keeping the aspect ratio. This can be done with the <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>thumbnail</code></a> or <a href="http://pillow.readthedocs.io/en/3.1.x/reference/Image.html#PIL.Image.Image.thumbnail"><code>resize</code></a> methods. Then you'll need to crop out the center 224x224 portion of the image.</p>
<p>Color channels of images are typically encoded as integers 0-255, but the model expected floats 0-1. You'll need to convert the values. It's easiest with a Numpy array, which you can get from a PIL image like so <code>np_image = np.array(pil_image)</code>.</p>
<p>As before, the network expects the images to be normalized in a specific way. For the means, it's <code>[0.485, 0.456, 0.406]</code> and for the standard deviations <code>[0.229, 0.224, 0.225]</code>. You'll want to subtract the means from each color channel, then divide by the standard deviation.</p>
<p>And finally, PyTorch expects the color channel to be the first dimension but it's the third dimension in the PIL image and Numpy array. You can reorder dimensions using <a href="https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ndarray.transpose.html"><code>ndarray.transpose</code></a>. The color channel needs to be first and retain the order of the other two dimensions.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Scales, crops, and normalizes a PIL image for a PyTorch model,</span>
<span class="sd">        returns an Numpy array</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="c1"># resize and crop image</span>
    <span class="n">w</span><span class="p">,</span> <span class="n">h</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">size</span>

    <span class="k">if</span> <span class="n">w</span> <span class="o">==</span> <span class="n">h</span><span class="p">:</span>
        <span class="n">size</span> <span class="o">=</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span>
    <span class="k">elif</span> <span class="n">w</span> <span class="o">&gt;</span> <span class="n">h</span><span class="p">:</span>
        <span class="n">ratio</span> <span class="o">=</span> <span class="n">w</span><span class="o">/</span><span class="n">h</span>
        <span class="n">size</span> <span class="o">=</span> <span class="mi">256</span><span class="o">*</span><span class="n">ratio</span><span class="p">,</span> <span class="mi">256</span>
    <span class="k">elif</span> <span class="n">h</span> <span class="o">&gt;</span> <span class="n">w</span><span class="p">:</span>
        <span class="n">ratio</span> <span class="o">=</span> <span class="n">h</span><span class="o">/</span><span class="n">w</span>
        <span class="n">size</span> <span class="o">=</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="o">*</span><span class="n">ratio</span>
        
    <span class="n">image</span><span class="o">.</span><span class="n">thumbnail</span><span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">Image</span><span class="o">.</span><span class="n">ANTIALIAS</span><span class="p">)</span>
    
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">crop</span><span class="p">((</span><span class="n">size</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">//</span><span class="mi">2</span> <span class="o">-</span> <span class="mi">112</span><span class="p">,</span> <span class="n">size</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">//</span><span class="mi">2</span> <span class="o">-</span> <span class="mi">112</span><span class="p">,</span> <span class="n">size</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="mi">112</span><span class="p">,</span> <span class="n">size</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mi">112</span><span class="p">))</span>
    
    <span class="c1"># make color channels in between 0 and 1</span>
    <span class="n">img_array</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">image</span><span class="p">)</span>
    <span class="n">np_image</span> <span class="o">=</span> <span class="n">img_array</span><span class="o">/</span><span class="mi">255</span>
    
    <span class="c1"># normalize images</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="p">(</span><span class="n">np_image</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span><span class="o">/</span><span class="n">std</span>
    
    <span class="c1"># make color channel first dimension</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
    
    <span class="k">return</span> <span class="n">img</span>

    
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<p>To check your work, the function below converts a PyTorch tensor and displays it in the notebook. If your <code>process_image</code> function works, running the output through this function should return the original image (except for the cropped out portions).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">ax</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
        <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
    
    <span class="c1"># PyTorch tensors assume the color channel is the first dimension</span>
    <span class="c1"># but matplotlib assumes is the third dimension</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">image</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">))</span>
    
    <span class="c1"># Undo preprocessing</span>
    <span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.485</span><span class="p">,</span> <span class="mf">0.456</span><span class="p">,</span> <span class="mf">0.406</span><span class="p">])</span>
    <span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.229</span><span class="p">,</span> <span class="mf">0.224</span><span class="p">,</span> <span class="mf">0.225</span><span class="p">])</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">std</span> <span class="o">*</span> <span class="n">image</span> <span class="o">+</span> <span class="n">mean</span>
    
    <span class="c1"># Image needs to be clipped between 0 and 1 or it looks like noise when displayed</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">ax</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">image_path</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span>
<span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
<span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
<span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7f11e1de8278&gt;</pre>
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<h2 id="Class-Prediction">Class Prediction<a class="anchor-link" href="#Class-Prediction">&#182;</a></h2><p>Once you can get images in the correct format, it's time to write a function for making predictions with your model. A common practice is to predict the top 5 or so (usually called top-$K$) most probable classes. You'll want to calculate the class probabilities then find the $K$ largest values.</p>
<p>To get the top $K$ largest values in a tensor use <a href="http://pytorch.org/docs/master/torch.html#torch.topk"><code>x.topk(k)</code></a>. This method returns both the highest <code>k</code> probabilities and the indices of those probabilities corresponding to the classes. You need to convert from these indices to the actual class labels using <code>class_to_idx</code> which hopefully you added to the model or from an <code>ImageFolder</code> you used to load the data (<a href="#Save-the-checkpoint">see here</a>). Make sure to invert the dictionary so you get a mapping from index to class as well.</p>
<p>Again, this method should take a path to an image and a model checkpoint, then return the probabilities and classes.</p>
<div class="highlight"><pre><span></span><span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">probs</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
<span class="o">&gt;</span> <span class="p">[</span> <span class="mf">0.01558163</span>  <span class="mf">0.01541934</span>  <span class="mf">0.01452626</span>  <span class="mf">0.01443549</span>  <span class="mf">0.01407339</span><span class="p">]</span>
<span class="o">&gt;</span> <span class="p">[</span><span class="s1">&#39;70&#39;</span><span class="p">,</span> <span class="s1">&#39;3&#39;</span><span class="p">,</span> <span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="s1">&#39;62&#39;</span><span class="p">,</span> <span class="s1">&#39;55&#39;</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">topk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
    <span class="sd">&#39;&#39;&#39; Predict the class (or classes) of an image using a trained deep learning model.</span>
<span class="sd">    &#39;&#39;&#39;</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">image_path</span><span class="p">)</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
    <span class="n">output</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    <span class="n">probs</span><span class="p">,</span> <span class="n">indices</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">topk</span><span class="p">(</span><span class="n">topk</span><span class="p">)</span>
    
    <span class="c1"># convert indices to actual category names</span>
    <span class="n">index_to_class</span> <span class="o">=</span> <span class="p">{</span><span class="n">val</span><span class="p">:</span> <span class="n">key</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">classifier</span><span class="o">.</span><span class="n">class_to_idx</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span> <span class="c1">#get class names from dict</span>
    <span class="n">top_classes</span> <span class="o">=</span> <span class="p">[</span><span class="n">index_to_class</span><span class="p">[</span><span class="n">each</span><span class="p">]</span> <span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">indices</span><span class="p">]</span>
    
    <span class="k">return</span> <span class="n">probs</span><span class="p">,</span> <span class="n">top_classes</span>
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<h2 id="Sanity-Checking">Sanity Checking<a class="anchor-link" href="#Sanity-Checking">&#182;</a></h2><p>Now that you can use a trained model for predictions, check to make sure it makes sense. Even if the testing accuracy is high, it's always good to check that there aren't obvious bugs. Use <code>matplotlib</code> to plot the probabilities for the top 5 classes as a bar graph, along with the input image. It should look like this:</p>
<p><img src='assets/inference_example.png' width=300px></p>
<p>You can convert from the class integer encoding to actual flower names with the <code>cat_to_name.json</code> file (should have been loaded earlier in the notebook). To show a PyTorch tensor as an image, use the <code>imshow</code> function defined above.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TODO: Display an image along with the top 5 classes</span>
<span class="k">def</span> <span class="nf">check</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">):</span>
    
    <span class="n">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">img</span> <span class="o">=</span> <span class="n">process_image</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="n">probs</span><span class="p">,</span> <span class="n">classes</span> <span class="o">=</span> <span class="n">predict</span><span class="p">(</span><span class="n">image_path</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">barh</span><span class="p">(</span><span class="n">classes</span><span class="p">,</span> <span class="n">probs</span><span class="p">,</span> <span class="n">align</span><span class="o">=</span><span class="s1">&#39;center&#39;</span><span class="p">)</span>
    
    <span class="n">ax</span><span class="o">.</span><span class="n">set_yticklabels</span><span class="p">(</span><span class="n">classes</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;Predicted Flower Species&quot;</span><span class="p">)</span>
    <span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;Probabilities&quot;</span><span class="p">)</span>
    
    <span class="c1">#display image</span>
    <span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
    <span class="c1">#display graph</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">img_p</span> <span class="o">=</span> <span class="s1">&#39;flowers/test/1/image_06743.jpg&#39;</span>
<span class="n">img</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">img_p</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">check</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">img_p</span><span class="p">,</span> <span class="n">model</span><span class="p">)</span>
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