Traffic_Sign_Classifier.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />

<title>Traffic_Sign_Classifier</title>

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

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

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

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

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

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

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<style type="text/css">
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<h1 id="Self-Driving-Car-Engineer-Nanodegree">Self-Driving Car Engineer Nanodegree<a class="anchor-link" href="#Self-Driving-Car-Engineer-Nanodegree">&#182;</a></h1><h2 id="Deep-Learning">Deep Learning<a class="anchor-link" href="#Deep-Learning">&#182;</a></h2><h2 id="Project:-Build-a-Traffic-Sign-Recognition-Classifier">Project: Build a Traffic Sign Recognition Classifier<a class="anchor-link" href="#Project:-Build-a-Traffic-Sign-Recognition-Classifier">&#182;</a></h2>
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<h2 id="Step-0:-Load-The-Data">Step 0: Load The Data<a class="anchor-link" href="#Step-0:-Load-The-Data">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pickle</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">random</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="kn">from</span> <span class="nn">sklearn.utils</span> <span class="k">import</span> <span class="n">shuffle</span>
<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
<span class="kn">import</span> <span class="nn">cv2</span>
<span class="kn">from</span> <span class="nn">tensorflow.contrib.layers</span> <span class="k">import</span> <span class="n">flatten</span>
<span class="kn">import</span> <span class="nn">glob</span>
<span class="kn">import</span> <span class="nn">csv</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Load pickled data</span>
<span class="n">training_file</span> <span class="o">=</span> <span class="s2">&quot;train.p&quot;</span>
<span class="n">validation_file</span><span class="o">=</span> <span class="s2">&quot;valid.p&quot;</span>
<span class="n">testing_file</span> <span class="o">=</span> <span class="s2">&quot;test.p&quot;</span>

<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">training_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">train</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">validation_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">valid</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">testing_file</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;rb&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">test</span> <span class="o">=</span> <span class="n">pickle</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
    
<span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">train</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">train</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
<span class="n">X_valid</span><span class="p">,</span> <span class="n">y_valid</span> <span class="o">=</span> <span class="n">valid</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">valid</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
<span class="n">X_test</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">test</span><span class="p">[</span><span class="s1">&#39;features&#39;</span><span class="p">],</span> <span class="n">test</span><span class="p">[</span><span class="s1">&#39;labels&#39;</span><span class="p">]</span>
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<h2 id="Step-1:-Dataset-Summary-&amp;-Exploration">Step 1: Dataset Summary &amp; Exploration<a class="anchor-link" href="#Step-1:-Dataset-Summary-&amp;-Exploration">&#182;</a></h2><p>The pickled data is a dictionary with 4 key/value pairs:</p>
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<li><code>'features'</code> is a 4D array containing raw pixel data of the traffic sign images, (num examples, width, height, channels).</li>
<li><code>'labels'</code> is a 1D array containing the label/class id of the traffic sign. The file <code>signnames.csv</code> contains id -&gt; name mappings for each id.</li>
<li><code>'sizes'</code> is a list containing tuples, (width, height) representing the original width and height the image.</li>
<li><code>'coords'</code> is a list containing tuples, (x1, y1, x2, y2) representing coordinates of a bounding box around the sign in the image. <strong>THESE COORDINATES ASSUME THE ORIGINAL IMAGE. THE PICKLED DATA CONTAINS RESIZED VERSIONS (32 by 32) OF THESE IMAGES</strong></li>
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<h3 id="Provide-a-Basic-Summary-of-the-Data-Set-Using-Python,-Numpy-and/or-Pandas">Provide a Basic Summary of the Data Set Using Python, Numpy and/or Pandas<a class="anchor-link" href="#Provide-a-Basic-Summary-of-the-Data-Set-Using-Python,-Numpy-and/or-Pandas">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n_train</span> <span class="o">=</span> <span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">n_validation</span> <span class="o">=</span> <span class="n">X_valid</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">n_test</span> <span class="o">=</span> <span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">image_shape</span> <span class="o">=</span> <span class="p">(</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span>
<span class="n">n_classes</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">y_train</span><span class="p">))</span>
<span class="n">n_channels</span> <span class="o">=</span> <span class="mi">1</span>

<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of training examples =&quot;</span><span class="p">,</span> <span class="n">n_train</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of validation examples =&quot;</span><span class="p">,</span> <span class="n">n_validation</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of testing examples =&quot;</span><span class="p">,</span> <span class="n">n_test</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Image data shape =&quot;</span><span class="p">,</span> <span class="n">image_shape</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of classes =&quot;</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">)</span>
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<pre>Number of training examples = 34799
Number of validation examples = 4410
Number of testing examples = 12630
Image data shape = (32, 32)
Number of classes = 43
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<h3 id="Include-an-exploratory-visualization-of-the-dataset">Include an exploratory visualization of the dataset<a class="anchor-link" href="#Include-an-exploratory-visualization-of-the-dataset">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">w</span><span class="o">=</span><span class="mi">10</span>
<span class="n">h</span><span class="o">=</span><span class="mi">10</span>
<span class="n">fig</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>
<span class="n">columns</span> <span class="o">=</span> <span class="mi">10</span>
<span class="n">rows</span> <span class="o">=</span> <span class="mi">5</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">columns</span><span class="o">*</span><span class="n">rows</span> <span class="o">+</span><span class="mi">1</span><span class="p">):</span>
    <span class="n">index</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">X_train</span><span class="p">))</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">X_train</span><span class="p">[</span><span class="n">index</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span>
    <span class="n">fig</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="n">rows</span><span class="p">,</span> <span class="n">columns</span><span class="p">,</span> <span class="n">i</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img</span><span class="p">)</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="prompt input_prompt">In&nbsp;[5]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Sample classes distribution&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s2">&quot;Class&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s2">&quot;Number of images&quot;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
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<h2 id="Step-2:-Design-and-Test-a-Model-Architecture">Step 2: Design and Test a Model Architecture<a class="anchor-link" href="#Step-2:-Design-and-Test-a-Model-Architecture">&#182;</a></h2><p>With the LeNet-5 solution, you should expect a validation set accuracy of about 0.89. To meet specifications, the validation set accuracy will need to be at least 0.93. It is possible to get an even higher accuracy, but 0.93 is the minimum for a successful project submission.</p>
<p>There are various aspects to consider when thinking about this problem:</p>
<ul>
<li>Neural network architecture (is the network over or underfitting?)</li>
<li>Play around preprocessing techniques (normalization, rgb to grayscale, etc)</li>
<li>Number of examples per label (some have more than others).</li>
<li>Generate fake data.</li>
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<h3 id="Pre-process-the-Data-Set-(normalization,-grayscale,-etc.)">Pre-process the Data Set (normalization, grayscale, etc.)<a class="anchor-link" href="#Pre-process-the-Data-Set-(normalization,-grayscale,-etc.)">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">shuffle</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</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">normalize_set</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
    <span class="n">result</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="mi">1</span><span class="p">))</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)):</span>
        <span class="n">result</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">normalize_image</span><span class="p">(</span><span class="n">convert_to_gray</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">]))</span>

    <span class="k">return</span> <span class="n">result</span>


<span class="k">def</span> <span class="nf">convert_to_gray</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="n">gray</span> <span class="o">=</span> <span class="n">cv2</span><span class="o">.</span><span class="n">cvtColor</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">cv2</span><span class="o">.</span><span class="n">COLOR_BGR2GRAY</span><span class="p">)</span>

    <span class="k">return</span> <span class="n">gray</span>

<span class="k">def</span> <span class="nf">normalize_image</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
    <span class="n">image</span> <span class="o">=</span> <span class="p">(</span><span class="n">image</span> <span class="o">-</span> <span class="n">image</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span> <span class="o">/</span> <span class="n">image</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
    <span class="n">image</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">image_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">image_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">1</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">image</span>

<span class="n">X_train_normalized</span> <span class="o">=</span> <span class="n">normalize_set</span><span class="p">(</span><span class="n">X_train</span><span class="p">)</span>
<span class="n">X_valid_normalized</span> <span class="o">=</span> <span class="n">normalize_set</span><span class="p">(</span><span class="n">X_valid</span><span class="p">)</span>
<span class="n">X_test_normalized</span> <span class="o">=</span> <span class="n">normalize_set</span><span class="p">(</span><span class="n">X_test</span><span class="p">)</span>
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<h3 id="Model-Architecture">Model Architecture<a class="anchor-link" href="#Model-Architecture">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">LeNet</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>    
    <span class="c1"># Arguments used for tf.truncated_normal, randomly defines variables for the weights and biases for each layer</span>
    <span class="n">mu</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">sigma</span> <span class="o">=</span> <span class="mf">0.1</span>
        
    <span class="c1"># Layer 1: Convolutional. Input = 32x32x1. Output = 28x28x6.</span>
    <span class="n">conv1_W</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">n_channels</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">conv1_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">6</span><span class="p">))</span>
    <span class="n">conv1</span>   <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">conv1_W</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span> <span class="o">+</span> <span class="n">conv1_b</span>
    
    <span class="c1"># Activation.</span>
    <span class="n">conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">conv1</span><span class="p">)</span>

    <span class="c1"># Pooling. Input = 28x28x6. Output = 14x14x6.</span>
    <span class="n">conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">conv1</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</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">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</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">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>

    <span class="c1"># Layer 2: Convolutional. Output = 10x10x16.</span>
    <span class="n">conv2_W</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="mi">16</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">conv2_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">16</span><span class="p">))</span>
    <span class="n">conv2</span>   <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">conv1</span><span class="p">,</span> <span class="n">conv2_W</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span> <span class="o">+</span> <span class="n">conv2_b</span>

    <span class="c1"># Activation.</span>
    <span class="n">conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">conv2</span><span class="p">)</span>

    <span class="c1"># Pooling. Input = 10x10x16. Output = 5x5x16.</span>
    <span class="n">conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">conv2</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</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">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</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">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;VALID&#39;</span><span class="p">)</span>

    <span class="c1"># Flatten. Input = 5x5x16. Output = 400.</span>
    <span class="n">fc0</span>   <span class="o">=</span> <span class="n">flatten</span><span class="p">(</span><span class="n">conv2</span><span class="p">)</span>

    <span class="c1"># Layer 3: Fully Connected. Input = 400. Output = 120.</span>
    <span class="n">fc1_W</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">400</span><span class="p">,</span> <span class="mi">120</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">fc1_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">120</span><span class="p">))</span>
    <span class="n">fc1</span>   <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">fc0</span><span class="p">,</span> <span class="n">fc1_W</span><span class="p">)</span> <span class="o">+</span> <span class="n">fc1_b</span>

    <span class="c1"># Activation.</span>
    <span class="n">fc1</span>    <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">fc1</span><span class="p">)</span>

    <span class="c1"># Layer 4: Fully Connected. Input = 120. Output = 84.</span>
    <span class="n">fc2_W</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">120</span><span class="p">,</span> <span class="mi">84</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">fc2_b</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">84</span><span class="p">))</span>
    <span class="n">fc2</span>    <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">fc1</span><span class="p">,</span> <span class="n">fc2_W</span><span class="p">)</span> <span class="o">+</span> <span class="n">fc2_b</span>

    <span class="c1"># Activation.</span>
    <span class="n">fc2</span>    <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">fc2</span><span class="p">)</span>

    <span class="c1"># Layer 5: Fully Connected. Input = 84. Output = n_classes.</span>
    <span class="n">fc3_W</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">84</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">),</span> <span class="n">mean</span> <span class="o">=</span> <span class="n">mu</span><span class="p">,</span> <span class="n">stddev</span> <span class="o">=</span> <span class="n">sigma</span><span class="p">))</span>
    <span class="n">fc3_b</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">n_classes</span><span class="p">))</span>
    <span class="n">logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">fc2</span><span class="p">,</span> <span class="n">fc3_W</span><span class="p">)</span> <span class="o">+</span> <span class="n">fc3_b</span>
    
    <span class="k">return</span> <span class="n">logits</span><span class="p">,</span> <span class="n">conv1</span><span class="p">,</span> <span class="n">conv2</span>
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<h3 id="Train,-Validate-and-Test-the-Model">Train, Validate and Test the Model<a class="anchor-link" href="#Train,-Validate-and-Test-the-Model">&#182;</a></h3>
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<p>A validation set can be used to assess how well the model is performing. A low accuracy on the training and validation
sets imply underfitting. A high accuracy on the training set but low accuracy on the validation set implies overfitting.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="n">image_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">image_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">n_channels</span><span class="p">))</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">int32</span><span class="p">,</span> <span class="p">(</span><span class="kc">None</span><span class="p">))</span>
<span class="n">one_hot_y</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">one_hot</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">n_classes</span><span class="p">)</span>


<span class="n">rate</span> <span class="o">=</span> <span class="mf">0.001</span>

<span class="n">logits</span><span class="p">,</span> <span class="n">_conv1</span><span class="p">,</span> <span class="n">_conv2</span> <span class="o">=</span> <span class="n">LeNet</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">cross_entropy</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">softmax_cross_entropy_with_logits</span><span class="p">(</span><span class="n">labels</span><span class="o">=</span><span class="n">one_hot_y</span><span class="p">,</span> <span class="n">logits</span><span class="o">=</span><span class="n">logits</span><span class="p">)</span>
<span class="n">loss_operation</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">cross_entropy</span><span class="p">)</span>
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">AdamOptimizer</span><span class="p">(</span><span class="n">learning_rate</span> <span class="o">=</span> <span class="n">rate</span><span class="p">)</span>
<span class="n">training_operation</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">minimize</span><span class="p">(</span><span class="n">loss_operation</span><span class="p">)</span>
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<pre>WARNING:tensorflow:From /Users/andriikushch/.conda/envs/CarND-Traffic-Sign-Classifier-Project/lib/python3.7/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /Users/andriikushch/.conda/envs/CarND-Traffic-Sign-Classifier-Project/lib/python3.7/site-packages/tensorflow/contrib/layers/python/layers/layers.py:1624: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
WARNING:tensorflow:From &lt;ipython-input-9-ca311e549465&gt;:9: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.
Instructions for updating:

Future major versions of TensorFlow will allow gradients to flow
into the labels input on backprop by default.

See `tf.nn.softmax_cross_entropy_with_logits_v2`.

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">correct_prediction</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">one_hot_y</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
<span class="n">accuracy_operation</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">correct_prediction</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">))</span>
<span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>

<span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="n">X_data</span><span class="p">,</span> <span class="n">y_data</span><span class="p">):</span>
    <span class="n">num_examples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">X_data</span><span class="p">)</span>
    <span class="n">total_accuracy</span> <span class="o">=</span> <span class="mi">0</span>
    <span class="n">sess</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">get_default_session</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">offset</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">num_examples</span><span class="p">,</span> <span class="n">BATCH_SIZE</span><span class="p">):</span>
        <span class="n">batch_x</span><span class="p">,</span> <span class="n">batch_y</span> <span class="o">=</span> <span class="n">X_data</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">offset</span><span class="o">+</span><span class="n">BATCH_SIZE</span><span class="p">],</span> <span class="n">y_data</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">offset</span><span class="o">+</span><span class="n">BATCH_SIZE</span><span class="p">]</span>
        <span class="n">accuracy</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">accuracy_operation</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">batch_x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">batch_y</span><span class="p">})</span>
        <span class="n">total_accuracy</span> <span class="o">+=</span> <span class="p">(</span><span class="n">accuracy</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">batch_x</span><span class="p">))</span>
    <span class="k">return</span> <span class="n">total_accuracy</span> <span class="o">/</span> <span class="n">num_examples</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">EPOCHS</span> <span class="o">=</span> <span class="mi">30</span>
<span class="n">BATCH_SIZE</span> <span class="o">=</span> <span class="mi">128</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">num_examples</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">)</span>

    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Training...&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">()</span>
    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">EPOCHS</span><span class="p">):</span>
        <span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span> <span class="o">=</span> <span class="n">shuffle</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
        <span class="k">for</span> <span class="n">offset</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">num_examples</span><span class="p">,</span> <span class="n">BATCH_SIZE</span><span class="p">):</span>
            <span class="n">end</span> <span class="o">=</span> <span class="n">offset</span> <span class="o">+</span> <span class="n">BATCH_SIZE</span>
            <span class="n">batch_x</span><span class="p">,</span> <span class="n">batch_y</span> <span class="o">=</span> <span class="n">X_train_normalized</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">end</span><span class="p">],</span> <span class="n">y_train</span><span class="p">[</span><span class="n">offset</span><span class="p">:</span><span class="n">end</span><span class="p">]</span>
            <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">training_operation</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">batch_x</span><span class="p">,</span> <span class="n">y</span><span class="p">:</span> <span class="n">batch_y</span><span class="p">})</span>

        <span class="n">validation_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_valid_normalized</span><span class="p">,</span> <span class="n">y_valid</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"> ...&quot;</span><span class="o">.</span><span class="n">format</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="nb">print</span><span class="p">(</span><span class="s2">&quot;Validation Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">validation_accuracy</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">()</span>

    <span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s1">&#39;./lenet&#39;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Model saved&quot;</span><span class="p">)</span>
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<h3 id="Train-log">Train log<a class="anchor-link" href="#Train-log">&#182;</a></h3><p>Training...</p>
<p>EPOCH 1 ...
Validation Accuracy = 0.843</p>
<p>EPOCH 2 ...
Validation Accuracy = 0.865</p>
<p>EPOCH 3 ...
Validation Accuracy = 0.894</p>
<p>EPOCH 4 ...
Validation Accuracy = 0.905</p>
<p>EPOCH 5 ...
Validation Accuracy = 0.905</p>
<p>EPOCH 6 ...
Validation Accuracy = 0.911</p>
<p>EPOCH 7 ...
Validation Accuracy = 0.920</p>
<p>EPOCH 8 ...
Validation Accuracy = 0.914</p>
<p>EPOCH 9 ...
Validation Accuracy = 0.926</p>
<p>EPOCH 10 ...
Validation Accuracy = 0.921</p>
<p>EPOCH 11 ...
Validation Accuracy = 0.917</p>
<p>EPOCH 12 ...
Validation Accuracy = 0.927</p>
<p>EPOCH 13 ...
Validation Accuracy = 0.913</p>
<p>EPOCH 14 ...
Validation Accuracy = 0.919</p>
<p>EPOCH 15 ...
Validation Accuracy = 0.919</p>
<p>EPOCH 16 ...
Validation Accuracy = 0.919</p>
<p>EPOCH 17 ...
Validation Accuracy = 0.910</p>
<p>EPOCH 18 ...
Validation Accuracy = 0.920</p>
<p>EPOCH 19 ...
Validation Accuracy = 0.916</p>
<p>EPOCH 20 ...
Validation Accuracy = 0.899</p>
<p>EPOCH 21 ...
Validation Accuracy = 0.937</p>
<p>EPOCH 22 ...
Validation Accuracy = 0.924</p>
<p>EPOCH 23 ...
Validation Accuracy = 0.930</p>
<p>EPOCH 24 ...
Validation Accuracy = 0.932</p>
<p>EPOCH 25 ...
Validation Accuracy = 0.926</p>
<p>EPOCH 26 ...
Validation Accuracy = 0.940</p>
<p>EPOCH 27 ...
Validation Accuracy = 0.928</p>
<p>EPOCH 28 ...
Validation Accuracy = 0.912</p>
<p>EPOCH 29 ...
Validation Accuracy = 0.923</p>
<p>EPOCH 30 ...
Validation Accuracy = 0.945</p>
<p>Model saved</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver_for_train_accuracy</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="s1">&#39;./lenet.meta&#39;</span><span class="p">)</span>
    <span class="n">saver_for_train_accuracy</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">train_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_train_normalized</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Train Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">train_accuracy</span><span class="p">))</span>
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<pre>WARNING:tensorflow:From /Users/andriikushch/.conda/envs/CarND-Traffic-Sign-Classifier-Project/lib/python3.7/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
INFO:tensorflow:Restoring parameters from ./lenet
Train Accuracy = 0.999
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<h2 id="Test-trained-network">Test trained network<a class="anchor-link" href="#Test-trained-network">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># TEST</span>
<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="s1">&#39;./lenet.meta&#39;</span><span class="p">)</span>
    <span class="n">saver2</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">test_accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">X_test_normalized</span><span class="p">,</span> <span class="n">y_test</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test Set Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">test_accuracy</span><span class="p">))</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
Test Set Accuracy = 0.933
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<h2 id="Step-3:-Test-a-Model-on-New-Images">Step 3: Test a Model on New Images<a class="anchor-link" href="#Step-3:-Test-a-Model-on-New-Images">&#182;</a></h2><p>To give yourself more insight into how your model is working, download at least five pictures of German traffic signs from the web and use your model to predict the traffic sign type.</p>
<p>You may find <code>signnames.csv</code> useful as it contains mappings from the class id (integer) to the actual sign name.</p>

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<h3 id="Load-and-Output-the-Images">Load and Output the Images<a class="anchor-link" href="#Load-and-Output-the-Images">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axs</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="mi">1</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span> <span class="mi">16</span><span class="p">))</span>
<span class="n">new_images</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span> 

<span class="k">for</span> <span class="n">file_name</span> <span class="ow">in</span> <span class="n">glob</span><span class="o">.</span><span class="n">glob</span><span class="p">(</span><span class="s1">&#39;./unknown_signs/*.jpg&#39;</span><span class="p">):</span>
    <span class="n">image</span> <span class="o">=</span> <span class="n">cv2</span><span class="o">.</span><span class="n">imread</span><span class="p">(</span><span class="n">file_name</span><span class="p">)</span>
    <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">cv2</span><span class="o">.</span><span class="n">cvtColor</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">cv2</span><span class="o">.</span><span class="n">COLOR_BGR2RGB</span><span class="p">))</span>
    <span class="n">new_images</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
    
    <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
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<h3 id="Normalize-new-images">Normalize new images<a class="anchor-link" href="#Normalize-new-images">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[15]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_normalized_images</span> <span class="o">=</span> <span class="n">normalize_set</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">new_images</span><span class="p">))</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">axs</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="mi">1</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span> <span class="mi">16</span><span class="p">))</span>

<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span> 
<span class="k">for</span> <span class="n">image</span> <span class="ow">in</span> <span class="n">new_normalized_images</span><span class="p">:</span>
    <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>    
    <span class="n">i</span> <span class="o">+=</span> <span class="mi">1</span>
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<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="s1">&#39;signnames.csv&#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">reader</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">reader</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
    <span class="n">labels_list</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">reader</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">resolve_class_id</span><span class="p">(</span><span class="n">class_id</span><span class="p">):</span>
    <span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">labels_list</span><span class="p">:</span>
        <span class="k">if</span> <span class="n">line</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="nb">str</span><span class="p">(</span><span class="n">class_id</span><span class="p">):</span>
            <span class="k">return</span> <span class="n">line</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
    <span class="k">return</span> <span class="s1">&#39;&#39;</span>

<span class="n">new_labels</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">18</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">17</span><span class="p">,</span> <span class="mi">25</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">14</span><span class="p">,</span> <span class="mi">38</span><span class="p">]</span> <span class="c1">#depends on file sorting</span>

<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">new_labels</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">resolve_class_id</span><span class="p">(</span><span class="n">label</span><span class="p">))</span>
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<pre>Speed limit (30km/h)
General caution
Priority road
No entry
Road work
End of all speed and passing limits
Stop
Keep right
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<h2 id="Calculate-accuracy-fir-a-set-of-the-new-images">Calculate accuracy fir a set of the new images<a class="anchor-link" href="#Calculate-accuracy-fir-a-set-of-the-new-images">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver3</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="s1">&#39;./lenet.meta&#39;</span><span class="p">)</span>
    <span class="n">saver3</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">accuracy</span> <span class="o">=</span> <span class="n">evaluate</span><span class="p">(</span><span class="n">new_normalized_images</span><span class="p">,</span> <span class="n">new_labels</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Test Set Accuracy = </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">accuracy</span><span class="p">))</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
Test Set Accuracy = 1.000
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<h3 id="Predict-the-Sign-Type-for-Each-Image">Predict the Sign Type for Each Image<a class="anchor-link" href="#Predict-the-Sign-Type-for-Each-Image">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">softmax_logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">logits</span><span class="p">)</span>
<span class="n">top_k</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">top_k</span><span class="p">(</span><span class="n">softmax_logits</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>


<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="s1">&#39;./lenet.meta&#39;</span><span class="p">)</span>
    <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    <span class="n">_softmax_logits</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">softmax_logits</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">new_normalized_images</span><span class="p">})</span>
    <span class="n">_top_k</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">top_k</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">new_normalized_images</span><span class="p">})</span>
    
    <span class="n">fig</span><span class="p">,</span> <span class="n">axs</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="nb">len</span><span class="p">(</span><span class="n">new_images</span><span class="p">),</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">30</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
    <span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>

    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">image</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">new_images</span><span class="p">):</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">cv2</span><span class="o">.</span><span class="n">cvtColor</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">cv2</span><span class="o">.</span><span class="n">COLOR_BGR2RGB</span><span class="p">))</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;input&#39;</span><span class="p">)</span>
        <span class="n">class_id1</span> <span class="o">=</span> <span class="n">_top_k</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
        <span class="n">index1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span><span class="n">y_valid</span> <span class="o">==</span> <span class="n">class_id1</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_valid</span><span class="p">[</span><span class="n">index1</span><span class="p">]</span><span class="o">.</span><span class="n">squeeze</span><span class="p">(),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>
        <span class="n">axs</span><span class="p">[</span><span class="mi">2</span><span class="o">*</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Guess: </span><span class="si">{}</span><span class="s1"> (</span><span class="si">{:.0f}</span><span class="s1">%)&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">resolve_class_id</span><span class="p">(</span><span class="n">class_id1</span><span class="p">),</span> <span class="mi">100</span><span class="o">*</span><span class="n">_top_k</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">]))</span>
        <span class="n">class_id2</span> <span class="o">=</span> <span class="n">_top_k</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="n">i</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span>
        <span class="n">index2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span><span class="n">y_valid</span> <span class="o">==</span> <span class="n">class_id2</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
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<pre>INFO:tensorflow:Restoring parameters from ./lenet
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<h3 id="Analyze-Performance">Analyze Performance<a class="anchor-link" href="#Analyze-Performance">&#182;</a></h3>
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<p>Accuracy of the model on the new images from the internet is 100%.</p>

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<h3 id="Output-Top-5-Softmax-Probabilities-For-Each-Image-Found-on-the-Web">Output Top 5 Softmax Probabilities For Each Image Found on the Web<a class="anchor-link" href="#Output-Top-5-Softmax-Probabilities-For-Each-Image-Found-on-the-Web">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[20]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">_top_k</span><span class="p">[</span><span class="mi">0</span><span class="p">])):</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">resolve_class_id</span><span class="p">(</span><span class="n">new_labels</span><span class="p">[</span><span class="n">i</span><span class="p">])</span><span class="o">.</span><span class="n">ljust</span><span class="p">(</span><span class="mi">40</span><span class="p">),</span> <span class="n">_top_k</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="n">i</span><span class="p">])</span>
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<pre>Speed limit (30km/h)                     [9.9999928e-01 4.6627065e-07 1.8073200e-07 1.1348734e-08 4.4676702e-12]
General caution                          [1.0000000e+00 1.7135681e-08 4.0559920e-09 3.0214271e-09 1.0853046e-09]
Priority road                            [1.0000000e+00 7.0696413e-24 1.4433812e-24 1.0934178e-25 5.1488289e-26]
No entry                                 [1.0000000e+00 5.7582330e-20 2.2768636e-24 8.4445566e-30 7.0737169e-31]
Road work                                [1.0000000e+00 3.8328948e-15 6.1613616e-16 3.8493330e-16 7.0987985e-17]
End of all speed and passing limits      [9.9997044e-01 2.9554330e-05 2.5264612e-08 2.8319382e-11 8.3975883e-14]
Stop                                     [1.0000000e+00 9.8190428e-17 3.0260198e-19 1.7365903e-19 1.4812312e-19]
Keep right                               [1.0000000e+00 8.9166329e-25 7.2660056e-32 4.0964350e-32 1.1183832e-32]
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<h3 id="Visualize-the-softmax-probabilities">Visualize the softmax probabilities<a class="anchor-link" href="#Visualize-the-softmax-probabilities">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axs</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="mi">8</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">9</span><span class="p">,</span> <span class="mi">19</span><span class="p">))</span>
<span class="n">axs</span> <span class="o">=</span> <span class="n">axs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>

<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">_softmax_logits</span><span class="p">)</span><span class="o">*</span><span class="mi">2</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">i</span><span class="o">%</span><span class="k">2</span> == 0:
        <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">&#39;off&#39;</span><span class="p">)</span>
        <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">cv2</span><span class="o">.</span><span class="n">cvtColor</span><span class="p">(</span><span class="n">new_images</span><span class="p">[</span><span class="n">i</span><span class="o">//</span><span class="mi">2</span><span class="p">],</span> <span class="n">cv2</span><span class="o">.</span><span class="n">COLOR_BGR2RGB</span><span class="p">))</span>
    <span class="k">else</span><span class="p">:</span>
        <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n_classes</span><span class="p">),</span> <span class="n">_softmax_logits</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="o">//</span><span class="mi">2</span><span class="p">])</span> 
        <span class="n">axs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;softmax probability&#39;</span><span class="p">)</span>
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<h2 id="Visualize-the-Neural-Network's-State-with-Test-Images">Visualize the Neural Network's State with Test Images<a class="anchor-link" href="#Visualize-the-Neural-Network's-State-with-Test-Images">&#182;</a></h2>
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<div class="prompt input_prompt">In&nbsp;[22]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">outputFeatureMap</span><span class="p">(</span><span class="n">image_input</span><span class="p">,</span> <span class="n">tf_activation</span><span class="p">,</span> <span class="n">activation_min</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">activation_max</span><span class="o">=-</span><span class="mi">1</span> <span class="p">,</span><span class="n">plt_num</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
    <span class="n">activation</span> <span class="o">=</span> <span class="n">tf_activation</span><span class="o">.</span><span class="n">eval</span><span class="p">(</span><span class="n">session</span><span class="o">=</span><span class="n">sess</span><span class="p">,</span> <span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span> <span class="p">:</span> <span class="n">image_input</span><span class="p">})</span>
    <span class="n">featuremaps</span> <span class="o">=</span> <span class="n">activation</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">plt_num</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span><span class="mi">15</span><span class="p">))</span>
    <span class="k">for</span> <span class="n">featuremap</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">featuremaps</span><span class="p">):</span>
        <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span> <span class="n">featuremap</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span> <span class="c1"># sets the number of feature maps to show on each row and column</span>
        <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;FeatureMap &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">featuremap</span><span class="p">))</span> <span class="c1"># displays the feature map number</span>
        <span class="k">if</span> <span class="n">activation_min</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span> <span class="o">&amp;</span> <span class="n">activation_max</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
            <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">activation</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span> <span class="n">featuremap</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">vmin</span> <span class="o">=</span><span class="n">activation_min</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">activation_max</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
        <span class="k">elif</span> <span class="n">activation_max</span> <span class="o">!=</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
            <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">activation</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span> <span class="n">featuremap</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="n">activation_max</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
        <span class="k">elif</span> <span class="n">activation_min</span> <span class="o">!=-</span><span class="mi">1</span><span class="p">:</span>
            <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">activation</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span> <span class="n">featuremap</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">vmin</span><span class="o">=</span><span class="n">activation_min</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
        <span class="k">else</span><span class="p">:</span>
            <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">activation</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span> <span class="n">featuremap</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[23]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">()</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
    <span class="n">random_image</span> <span class="o">=</span> <span class="n">X_test_normalized</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
    <span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="s1">&#39;./lenet.meta&#39;</span><span class="p">)</span>
    <span class="n">saver</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="s2">&quot;./lenet&quot;</span><span class="p">)</span>
    
    <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_test</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
    <span class="n">outputFeatureMap</span><span class="p">(</span><span class="n">random_image</span><span class="p">,</span> <span class="n">_conv1</span><span class="p">,</span> <span class="n">plt_num</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">outputFeatureMap</span><span class="p">(</span><span class="n">random_image</span><span class="p">,</span> <span class="n">_conv2</span><span class="p">,</span> <span class="n">plt_num</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
</pre></div>

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<pre>INFO:tensorflow:Restoring parameters from ./lenet
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