kaggle_flowers.html

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}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 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=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#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;
}
.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;
}
@-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 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  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 {
  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:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.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 {
  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: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-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.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";
}
/*!
*
* 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;
}
/**
 * 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 {
  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;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#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#login_widget {
  float: right;
}
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;
}
@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;
}
/*!
*
* 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 {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
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 {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.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: baseline;
  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;
}
.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_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;
}
.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;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.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.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.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.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.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;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.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;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-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.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.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.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.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);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* 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;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  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 {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@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. */
  padding: 0.4em;
}
.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. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

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;
}
/* 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: 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 {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.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;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.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;
}
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.unrendered .text_cell_render {
  display: none;
}
.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;
}
/* 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;
}
.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 {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#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;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -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.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.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;
}
.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;
}
#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;
}
#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;
}
#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.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.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.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.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.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.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 {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  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;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<h1>&#x1F4D1; &nbsp;  The Data Set of Flower Images</h1>

</div>
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<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[16]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">html</span>
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</pre></div>

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<style> 
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<h2>&#x1F310; &nbsp; 0. Code Library and Links</h2>

</div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[2]:</div>
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<div class=" highlight hl-ipython3"><pre><span></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">pandas</span> <span class="k">as</span> <span class="nn">pd</span> 

<span class="kn">import</span> <span class="nn">cv2</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">scipy</span>
<span class="kn">import</span> <span class="nn">h5py</span>
<span class="kn">from</span> <span class="nn">six.moves</span> <span class="k">import</span> <span class="n">cPickle</span> <span class="k">as</span> <span class="n">pickle</span>
<span class="kn">from</span> <span class="nn">skimage</span> <span class="k">import</span> <span class="n">io</span>

<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">ImageFile</span>
<span class="kn">from</span> <span class="nn">tqdm</span> <span class="k">import</span> <span class="n">tqdm</span>
</pre></div>

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

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<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[3]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pylab</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">matplotlib</span> <span class="k">import</span> <span class="n">cm</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
</pre></div>

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

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<div class="prompt input_prompt">In&nbsp;[4]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">keras</span>
<span class="kn">import</span> <span class="nn">tensorflow</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;keras version:&#39;</span><span class="p">,</span> <span class="n">keras</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;tensorflow version:&#39;</span><span class="p">,</span> <span class="n">tensorflow</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span>
</pre></div>

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<pre>Using TensorFlow backend.
</pre>
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<pre>keras version: 2.1.6
tensorflow version: 1.8.0
</pre>
</div>
</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">keras.preprocessing</span> <span class="k">import</span> <span class="n">image</span> <span class="k">as</span> <span class="n">keras_image</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">keras.utils</span> <span class="k">import</span> <span class="n">to_categorical</span>

<span class="kn">from</span> <span class="nn">keras.applications.inception_v3</span> <span class="k">import</span> <span class="n">InceptionV3</span>
<span class="kn">from</span> <span class="nn">keras.applications.inception_v3</span> <span class="k">import</span> <span class="n">preprocess_input</span> <span class="k">as</span> <span class="n">inception_v3_preprocess_input</span>

<span class="kn">from</span> <span class="nn">keras.callbacks</span> <span class="k">import</span> <span class="n">ModelCheckpoint</span>
</pre></div>

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

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">keras.models</span> <span class="k">import</span> <span class="n">Sequential</span><span class="p">,</span> <span class="n">Model</span>
<span class="kn">from</span> <span class="nn">keras.layers</span> <span class="k">import</span> <span class="n">Dense</span><span class="p">,</span> <span class="n">LSTM</span><span class="p">,</span> <span class="n">GlobalAveragePooling1D</span>
<span class="kn">from</span> <span class="nn">keras.layers</span> <span class="k">import</span> <span class="n">Activation</span><span class="p">,</span> <span class="n">Flatten</span><span class="p">,</span> <span class="n">Dropout</span><span class="p">,</span> <span class="n">BatchNormalization</span>
<span class="kn">from</span> <span class="nn">keras.layers</span> <span class="k">import</span> <span class="n">Conv2D</span><span class="p">,</span> <span class="n">MaxPooling2D</span><span class="p">,</span> <span class="n">GlobalAveragePooling2D</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">loss_plot</span><span class="p">(</span><span class="n">fit_history</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>

    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">fit_history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;loss&#39;</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">&#39;train&#39;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">fit_history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;val_loss&#39;</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">&#39;test&#39;</span><span class="p">)</span>

    <span class="n">plt</span><span class="o">.</span><span class="n">legend</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="s1">&#39;Loss Function&#39;</span><span class="p">);</span>  

<span class="k">def</span> <span class="nf">acc_plot</span><span class="p">(</span><span class="n">fit_history</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">18</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>

    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">fit_history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;acc&#39;</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">&#39;train&#39;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">fit_history</span><span class="o">.</span><span class="n">history</span><span class="p">[</span><span class="s1">&#39;val_acc&#39;</span><span class="p">],</span> <span class="n">label</span> <span class="o">=</span> <span class="s1">&#39;test&#39;</span><span class="p">)</span>

    <span class="n">plt</span><span class="o">.</span><span class="n">legend</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="s1">&#39;Accuracy&#39;</span><span class="p">);</span> 
    
<span class="k">def</span> <span class="nf">path_to_tensor</span><span class="p">(</span><span class="n">img_path</span><span class="p">):</span>
    <span class="n">img</span> <span class="o">=</span> <span class="n">keras_image</span><span class="o">.</span><span class="n">load_img</span><span class="p">(</span><span class="s2">&quot;/Users/olgabelitskaya/cookbooks/flower_images/&quot;</span><span class="o">+</span><span class="n">img_path</span><span class="p">,</span> 
                               <span class="n">target_size</span><span class="o">=</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">128</span><span class="p">))</span>
    <span class="n">x</span> <span class="o">=</span> <span class="n">keras_image</span><span class="o">.</span><span class="n">img_to_array</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>

<span class="k">def</span> <span class="nf">paths_to_tensor</span><span class="p">(</span><span class="n">img_paths</span><span class="p">):</span>
    <span class="n">list_of_tensors</span> <span class="o">=</span> <span class="p">[</span><span class="n">path_to_tensor</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span> <span class="k">for</span> <span class="n">img_path</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="n">img_paths</span><span class="p">)]</span>
    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">(</span><span class="n">list_of_tensors</span><span class="p">)</span>

<span class="n">ImageFile</span><span class="o">.</span><span class="n">LOAD_TRUNCATED_IMAGES</span> <span class="o">=</span> <span class="kc">True</span>                     
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<h2>&#x1F310; &nbsp; 1. Explore the Data</h2>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">flowers</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;/Users/olgabelitskaya/cookbooks/flower_images/flower_labels.csv&quot;</span><span class="p">)</span>
<span class="n">flower_files</span> <span class="o">=</span> <span class="n">flowers</span><span class="p">[</span><span class="s1">&#39;file&#39;</span><span class="p">]</span>
<span class="n">flower_targets</span> <span class="o">=</span> <span class="n">flowers</span><span class="p">[</span><span class="s1">&#39;label&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
<span class="n">flower_tensors</span> <span class="o">=</span> <span class="n">paths_to_tensor</span><span class="p">(</span><span class="n">flower_files</span><span class="p">);</span>
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<pre>100%|██████████| 210/210 [00:06&lt;00:00, 31.96it/s]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">flower_tensors</span><span class="o">.</span><span class="n">shape</span>
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<pre>(210, 128, 128, 3)</pre>
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<pre>(210,)</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">h5py</span><span class="o">.</span><span class="n">File</span><span class="p">(</span><span class="s1">&#39;FlowerColorImages.h5&#39;</span><span class="p">,</span> <span class="s1">&#39;w&#39;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
    <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;images&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">flower_tensors</span><span class="p">)</span>
    <span class="n">f</span><span class="o">.</span><span class="n">create_dataset</span><span class="p">(</span><span class="s1">&#39;labels&#39;</span><span class="p">,</span> <span class="n">data</span> <span class="o">=</span> <span class="n">flower_targets</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pickle_file</span> <span class="o">=</span> <span class="s1">&#39;FlowerColorImages.pickle&#39;</span>

<span class="k">try</span><span class="p">:</span>
    <span class="n">f</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">pickle_file</span><span class="p">,</span> <span class="s1">&#39;wb&#39;</span><span class="p">)</span>
    <span class="n">save</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;images&#39;</span><span class="p">:</span> <span class="n">flower_tensors</span><span class="p">,</span> <span class="s1">&#39;labels&#39;</span><span class="p">:</span> <span class="n">flower_targets</span><span class="p">}</span>
    <span class="n">pickle</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">save</span><span class="p">,</span> <span class="n">f</span><span class="p">,</span> <span class="n">pickle</span><span class="o">.</span><span class="n">HIGHEST_PROTOCOL</span><span class="p">)</span>
    <span class="n">f</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Unable to save data to&#39;</span><span class="p">,</span> <span class="n">pickle_file</span><span class="p">,</span> <span class="s1">&#39;:&#39;</span><span class="p">,</span> <span class="n">e</span><span class="p">)</span>
    <span class="k">raise</span>
    
<span class="n">statinfo</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">stat</span><span class="p">(</span><span class="n">pickle_file</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Compressed pickle size:&#39;</span><span class="p">,</span> <span class="n">statinfo</span><span class="o">.</span><span class="n">st_size</span><span class="p">)</span>
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<pre>Compressed pickle size: 41289619
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Label: &#39;</span><span class="p">,</span> <span class="n">flower_targets</span><span class="p">[</span><span class="mi">168</span><span class="p">])</span>
<span class="n">flower_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="s1">&#39;/Users/olgabelitskaya/cookbooks/flower_images/&#39;</span> <span class="o">+</span> <span class="n">flower_files</span><span class="p">[</span><span class="mi">168</span><span class="p">])</span>
<span class="n">rgb_flower_image</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">flower_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">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">3</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">imshow</span><span class="p">(</span><span class="n">rgb_flower_image</span><span class="p">);</span>
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<pre>Label:  9
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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">x_test</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">flower_tensors</span><span class="p">,</span> <span class="n">flower_targets</span><span class="p">,</span> 
                                                    <span class="n">test_size</span> <span class="o">=</span> <span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span> <span class="o">=</span> <span class="mi">1</span><span class="p">)</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="n">y_train</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">x_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">]</span>
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<pre>[(168, 128, 128, 3), (168,), (42, 128, 128, 3), (42,)]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x_test</span><span class="p">)</span><span class="o">/</span><span class="mi">2</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">x_test</span><span class="p">[:</span><span class="n">n</span><span class="p">],</span> <span class="n">y_test</span><span class="p">[:</span><span class="n">n</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">x_test</span><span class="p">[</span><span class="n">n</span><span class="p">:],</span> <span class="n">y_test</span><span class="p">[</span><span class="n">n</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="n">x_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">x_valid</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_train</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_valid</span><span class="o">.</span><span class="n">shape</span>
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<pre>((168, 128, 128, 3),
 (21, 128, 128, 3),
 (21, 128, 128, 3),
 (168,),
 (21,),
 (21,))</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Label: &#39;</span><span class="p">,</span> <span class="n">y_train</span><span class="p">[</span><span class="mi">1</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">3</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">imshow</span><span class="p">((</span><span class="n">x_train</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">/</span><span class="mi">255</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span><span class="mi">128</span><span class="p">,</span><span class="mi">3</span><span class="p">));</span>
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<pre>Label:  4
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x_train</span> <span class="o">=</span> <span class="n">x_train</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float32&#39;</span><span class="p">)</span><span class="o">/</span><span class="mi">255</span>
<span class="n">x_test</span> <span class="o">=</span> <span class="n">x_test</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float32&#39;</span><span class="p">)</span><span class="o">/</span><span class="mi">255</span>
<span class="n">x_valid</span> <span class="o">=</span> <span class="n">x_valid</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;float32&#39;</span><span class="p">)</span><span class="o">/</span><span class="mi">255</span>

<span class="n">c_y_train</span> <span class="o">=</span> <span class="n">to_categorical</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
<span class="n">c_y_test</span> <span class="o">=</span> <span class="n">to_categorical</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
<span class="n">c_y_valid</span> <span class="o">=</span> <span class="n">to_categorical</span><span class="p">(</span><span class="n">y_valid</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</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="n">c_y_train</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">x_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">c_y_test</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">x_valid</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">c_y_valid</span><span class="o">.</span><span class="n">shape</span><span class="p">]</span>
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<pre>[(168, 128, 128, 3),
 (168, 10),
 (21, 128, 128, 3),
 (21, 10),
 (21, 128, 128, 3),
 (21, 10)]</pre>
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<h2>&#x1F310; &nbsp; 2. Models</h2>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># MLP</span>
<span class="k">def</span> <span class="nf">mlp_mc_model</span><span class="p">():</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">Sequential</span><span class="p">()</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">,</span> <span class="n">input_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">,)))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">256</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BatchNormalization</span><span class="p">())</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.2</span><span class="p">))</span>    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;softmax&#39;</span><span class="p">))</span>

    <span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;adam&#39;</span><span class="p">,</span> <span class="n">loss</span><span class="o">=</span><span class="s1">&#39;categorical_crossentropy&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>
    <span class="k">return</span> <span class="n">model</span>

<span class="n">mlp_mc_model</span> <span class="o">=</span> <span class="n">mlp_mc_model</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlp_mc_checkpointer</span> <span class="o">=</span> <span class="n">ModelCheckpoint</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s1">&#39;weights.best.mlp_mc.flowers.hdf5&#39;</span><span class="p">,</span> 
                                      <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">mlp_mc_history</span> <span class="o">=</span> <span class="n">mlp_mc_model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_train</span><span class="p">,</span>
                                  <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_valid</span><span class="p">),</span>
                                  <span class="n">epochs</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> 
                                  <span class="n">callbacks</span><span class="o">=</span><span class="p">[</span><span class="n">mlp_mc_checkpointer</span><span class="p">])</span>
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Epoch 00001: val_loss improved from inf to 6.57058, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00002: val_loss improved from 6.57058 to 3.17069, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00003: val_loss improved from 3.17069 to 3.01145, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00004: val_loss did not improve from 3.01145

Epoch 00005: val_loss did not improve from 3.01145

Epoch 00006: val_loss did not improve from 3.01145

Epoch 00007: val_loss improved from 3.01145 to 2.92765, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00008: val_loss improved from 2.92765 to 2.74474, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00009: val_loss improved from 2.74474 to 2.70149, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00010: val_loss improved from 2.70149 to 2.64758, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00011: val_loss improved from 2.64758 to 2.61890, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00012: val_loss improved from 2.61890 to 2.58090, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00013: val_loss improved from 2.58090 to 2.50875, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00014: val_loss improved from 2.50875 to 2.46183, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00015: val_loss improved from 2.46183 to 2.41120, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00016: val_loss improved from 2.41120 to 2.37995, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00017: val_loss improved from 2.37995 to 2.35267, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00018: val_loss improved from 2.35267 to 2.33186, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00019: val_loss improved from 2.33186 to 2.32301, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00020: val_loss improved from 2.32301 to 2.29985, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00021: val_loss improved from 2.29985 to 2.27508, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00022: val_loss improved from 2.27508 to 2.23885, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00023: val_loss improved from 2.23885 to 2.21828, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00024: val_loss improved from 2.21828 to 2.20082, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00025: val_loss improved from 2.20082 to 2.16477, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00026: val_loss improved from 2.16477 to 2.10627, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00027: val_loss improved from 2.10627 to 2.05886, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00028: val_loss improved from 2.05886 to 2.02636, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00029: val_loss improved from 2.02636 to 2.00802, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00030: val_loss improved from 2.00802 to 2.00318, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00031: val_loss did not improve from 2.00318

Epoch 00032: val_loss did not improve from 2.00318

Epoch 00033: val_loss did not improve from 2.00318

Epoch 00034: val_loss improved from 2.00318 to 1.99908, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00035: val_loss improved from 1.99908 to 1.98182, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00036: val_loss improved from 1.98182 to 1.97877, saving model to weights.best.mlp_mc.flowers.hdf5

Epoch 00037: val_loss did not improve from 1.97877

Epoch 00038: val_loss did not improve from 1.97877

Epoch 00039: val_loss did not improve from 1.97877

Epoch 00040: val_loss did not improve from 1.97877

Epoch 00041: val_loss did not improve from 1.97877

Epoch 00042: val_loss did not improve from 1.97877

Epoch 00043: val_loss did not improve from 1.97877

Epoch 00044: val_loss did not improve from 1.97877

Epoch 00045: val_loss did not improve from 1.97877

Epoch 00046: val_loss did not improve from 1.97877

Epoch 00047: val_loss did not improve from 1.97877

Epoch 00048: val_loss did not improve from 1.97877

Epoch 00049: val_loss did not improve from 1.97877

Epoch 00050: val_loss did not improve from 1.97877
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">loss_plot</span><span class="p">(</span><span class="n">mlp_mc_history</span><span class="p">)</span>
<span class="n">acc_plot</span><span class="p">(</span><span class="n">mlp_mc_history</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mlp_mc_model</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s1">&#39;weights.best.mlp_mc.flowers.hdf5&#39;</span><span class="p">)</span>
<span class="n">mlp_mc_test_score</span> <span class="o">=</span> <span class="n">mlp_mc_model</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">x_test</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_test</span><span class="p">)</span>
<span class="n">mlp_mc_test_score</span>
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<pre>21/21 [==============================] - 0s 1ms/step
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<pre>[1.5433214902877808, 0.6190476417541504]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># CNN</span>
<span class="k">def</span> <span class="nf">cnn_mc_model</span><span class="p">():</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">Sequential</span><span class="p">()</span>

    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Conv2D</span><span class="p">(</span><span class="mi">32</span><span class="p">,</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">padding</span><span class="o">=</span><span class="s1">&#39;same&#39;</span><span class="p">,</span> <span class="n">input_shape</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">1</span><span class="p">:]))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Activation</span><span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">MaxPooling2D</span><span class="p">(</span><span class="n">pool_size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.25</span><span class="p">))</span>

    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Conv2D</span><span class="p">(</span><span class="mi">96</span><span class="p">,</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">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Activation</span><span class="p">(</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">MaxPooling2D</span><span class="p">(</span><span class="n">pool_size</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.25</span><span class="p">))</span>

<span class="c1">#     model.add(Flatten())</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">GlobalAveragePooling2D</span><span class="p">())</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;tanh&#39;</span><span class="p">))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.25</span><span class="p">))</span> 
    
<span class="c1">#    model.add(Dense(256, activation=&#39;tanh&#39;))</span>
<span class="c1">#    model.add(Dropout(0.25)) </span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;tanh&#39;</span><span class="p">))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dropout</span><span class="p">(</span><span class="mf">0.25</span><span class="p">))</span> 

    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Activation</span><span class="p">(</span><span class="s1">&#39;softmax&#39;</span><span class="p">))</span>

    <span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="s1">&#39;categorical_crossentropy&#39;</span><span class="p">,</span> <span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;nadam&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>
    
    <span class="k">return</span> <span class="n">model</span>

<span class="n">cnn_mc_model</span> <span class="o">=</span> <span class="n">cnn_mc_model</span><span class="p">()</span>
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<div class="prompt input_prompt">In&nbsp;[47]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cnn_mc_checkpointer</span> <span class="o">=</span> <span class="n">ModelCheckpoint</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s1">&#39;weights.best.cnn_mc.flowers.hdf5&#39;</span><span class="p">,</span> 
                                      <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">cnn_mc_history</span> <span class="o">=</span> <span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">c_y_train</span><span class="p">,</span> 
                                  <span class="n">epochs</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
                                  <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="p">,</span> <span class="n">c_y_valid</span><span class="p">),</span>
                                  <span class="n">callbacks</span><span class="o">=</span><span class="p">[</span><span class="n">cnn_mc_checkpointer</span><span class="p">])</span>
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<pre>Train on 168 samples, validate on 21 samples
Epoch 1/50
 - 18s - loss: 2.3992 - acc: 0.1131 - val_loss: 2.2861 - val_acc: 0.1429

Epoch 00001: val_loss improved from inf to 2.28614, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 2/50
 - 14s - loss: 2.2706 - acc: 0.1488 - val_loss: 2.2323 - val_acc: 0.1905

Epoch 00002: val_loss improved from 2.28614 to 2.23232, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 3/50
 - 17s - loss: 2.2109 - acc: 0.1488 - val_loss: 2.2249 - val_acc: 0.1905

Epoch 00003: val_loss improved from 2.23232 to 2.22490, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 4/50
 - 13s - loss: 2.0702 - acc: 0.2321 - val_loss: 2.0808 - val_acc: 0.1905

Epoch 00004: val_loss improved from 2.22490 to 2.08081, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 5/50
 - 13s - loss: 2.1550 - acc: 0.1488 - val_loss: 2.1396 - val_acc: 0.1905

Epoch 00005: val_loss did not improve from 2.08081
Epoch 6/50
 - 12s - loss: 1.8983 - acc: 0.2857 - val_loss: 2.0704 - val_acc: 0.2381

Epoch 00006: val_loss improved from 2.08081 to 2.07045, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 7/50
 - 12s - loss: 1.8720 - acc: 0.2619 - val_loss: 1.7753 - val_acc: 0.2381

Epoch 00007: val_loss improved from 2.07045 to 1.77526, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 8/50
 - 12s - loss: 1.8540 - acc: 0.3393 - val_loss: 1.9094 - val_acc: 0.2381

Epoch 00008: val_loss did not improve from 1.77526
Epoch 9/50
 - 12s - loss: 1.7764 - acc: 0.3452 - val_loss: 1.8379 - val_acc: 0.2381

Epoch 00009: val_loss did not improve from 1.77526
Epoch 10/50
 - 12s - loss: 1.7027 - acc: 0.3810 - val_loss: 1.9554 - val_acc: 0.2857

Epoch 00010: val_loss did not improve from 1.77526
Epoch 11/50
 - 12s - loss: 1.9898 - acc: 0.2321 - val_loss: 2.0914 - val_acc: 0.2381

Epoch 00011: val_loss did not improve from 1.77526
Epoch 12/50
 - 12s - loss: 1.7672 - acc: 0.3810 - val_loss: 1.7901 - val_acc: 0.3333

Epoch 00012: val_loss did not improve from 1.77526
Epoch 13/50
 - 12s - loss: 1.5495 - acc: 0.4583 - val_loss: 1.6411 - val_acc: 0.3810

Epoch 00013: val_loss improved from 1.77526 to 1.64113, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 14/50
 - 12s - loss: 1.4774 - acc: 0.4702 - val_loss: 1.7214 - val_acc: 0.3333

Epoch 00014: val_loss did not improve from 1.64113
Epoch 15/50
 - 12s - loss: 1.4635 - acc: 0.4643 - val_loss: 1.5853 - val_acc: 0.3333

Epoch 00015: val_loss improved from 1.64113 to 1.58530, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 16/50
 - 12s - loss: 1.4926 - acc: 0.4226 - val_loss: 1.7025 - val_acc: 0.2381

Epoch 00016: val_loss did not improve from 1.58530
Epoch 17/50
 - 12s - loss: 1.5075 - acc: 0.4286 - val_loss: 1.4472 - val_acc: 0.4286

Epoch 00017: val_loss improved from 1.58530 to 1.44717, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 18/50
 - 14s - loss: 1.3903 - acc: 0.4702 - val_loss: 1.4627 - val_acc: 0.5238

Epoch 00018: val_loss did not improve from 1.44717
Epoch 19/50
 - 14s - loss: 1.2820 - acc: 0.5357 - val_loss: 1.3844 - val_acc: 0.4762

Epoch 00019: val_loss improved from 1.44717 to 1.38443, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 20/50
 - 15s - loss: 1.4368 - acc: 0.4940 - val_loss: 1.3763 - val_acc: 0.5238

Epoch 00020: val_loss improved from 1.38443 to 1.37634, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 21/50
 - 15s - loss: 1.1831 - acc: 0.5417 - val_loss: 1.3821 - val_acc: 0.4286

Epoch 00021: val_loss did not improve from 1.37634
Epoch 22/50
 - 16s - loss: 1.1353 - acc: 0.5774 - val_loss: 1.4774 - val_acc: 0.3810

Epoch 00022: val_loss did not improve from 1.37634
Epoch 23/50
 - 15s - loss: 1.4975 - acc: 0.4107 - val_loss: 1.2361 - val_acc: 0.5238

Epoch 00023: val_loss improved from 1.37634 to 1.23614, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 24/50
 - 15s - loss: 1.2443 - acc: 0.5238 - val_loss: 1.7309 - val_acc: 0.3333

Epoch 00024: val_loss did not improve from 1.23614
Epoch 25/50
 - 14s - loss: 1.2159 - acc: 0.5357 - val_loss: 1.2762 - val_acc: 0.4762

Epoch 00025: val_loss did not improve from 1.23614
Epoch 26/50
 - 13s - loss: 1.1080 - acc: 0.6190 - val_loss: 1.5066 - val_acc: 0.5714

Epoch 00026: val_loss did not improve from 1.23614
Epoch 27/50
 - 13s - loss: 1.1502 - acc: 0.5893 - val_loss: 1.3392 - val_acc: 0.4762

Epoch 00027: val_loss did not improve from 1.23614
Epoch 28/50
 - 13s - loss: 1.0995 - acc: 0.5774 - val_loss: 1.3573 - val_acc: 0.5238

Epoch 00028: val_loss did not improve from 1.23614
Epoch 29/50
 - 13s - loss: 1.0002 - acc: 0.6429 - val_loss: 1.2224 - val_acc: 0.5238

Epoch 00029: val_loss improved from 1.23614 to 1.22236, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 30/50
 - 12s - loss: 0.9615 - acc: 0.6548 - val_loss: 1.4433 - val_acc: 0.4286

Epoch 00030: val_loss did not improve from 1.22236
Epoch 31/50
 - 13s - loss: 0.9800 - acc: 0.6429 - val_loss: 1.1997 - val_acc: 0.6190

Epoch 00031: val_loss improved from 1.22236 to 1.19970, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 32/50
 - 14s - loss: 0.9854 - acc: 0.6488 - val_loss: 1.5028 - val_acc: 0.5238

Epoch 00032: val_loss did not improve from 1.19970
Epoch 33/50
 - 16s - loss: 1.0139 - acc: 0.6488 - val_loss: 1.4595 - val_acc: 0.4286

Epoch 00033: val_loss did not improve from 1.19970
Epoch 34/50
 - 16s - loss: 1.1171 - acc: 0.6012 - val_loss: 1.4316 - val_acc: 0.4762

Epoch 00034: val_loss did not improve from 1.19970
Epoch 35/50
 - 14s - loss: 1.6123 - acc: 0.4405 - val_loss: 1.4874 - val_acc: 0.4762

Epoch 00035: val_loss did not improve from 1.19970
Epoch 36/50
 - 14s - loss: 1.0658 - acc: 0.6071 - val_loss: 1.2091 - val_acc: 0.5238

Epoch 00036: val_loss did not improve from 1.19970
Epoch 37/50
 - 14s - loss: 0.9974 - acc: 0.6429 - val_loss: 1.0805 - val_acc: 0.7143

Epoch 00037: val_loss improved from 1.19970 to 1.08046, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 38/50
 - 14s - loss: 0.9379 - acc: 0.6607 - val_loss: 1.2140 - val_acc: 0.6190

Epoch 00038: val_loss did not improve from 1.08046
Epoch 39/50
 - 14s - loss: 0.9375 - acc: 0.6667 - val_loss: 1.2951 - val_acc: 0.5238

Epoch 00039: val_loss did not improve from 1.08046
Epoch 40/50
 - 14s - loss: 0.9259 - acc: 0.6607 - val_loss: 1.1114 - val_acc: 0.6667

Epoch 00040: val_loss did not improve from 1.08046
Epoch 41/50
 - 14s - loss: 0.9038 - acc: 0.6786 - val_loss: 0.9400 - val_acc: 0.7143

Epoch 00041: val_loss improved from 1.08046 to 0.94004, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 42/50
 - 14s - loss: 0.8058 - acc: 0.7024 - val_loss: 1.0009 - val_acc: 0.6667

Epoch 00042: val_loss did not improve from 0.94004
Epoch 43/50
 - 14s - loss: 0.8151 - acc: 0.7143 - val_loss: 1.0005 - val_acc: 0.6190

Epoch 00043: val_loss did not improve from 0.94004
Epoch 44/50
 - 14s - loss: 0.9628 - acc: 0.6369 - val_loss: 1.5142 - val_acc: 0.4762

Epoch 00044: val_loss did not improve from 0.94004
Epoch 45/50
 - 14s - loss: 1.0082 - acc: 0.6488 - val_loss: 1.1540 - val_acc: 0.5238

Epoch 00045: val_loss did not improve from 0.94004
Epoch 46/50
 - 13s - loss: 0.9810 - acc: 0.6488 - val_loss: 1.0775 - val_acc: 0.6190

Epoch 00046: val_loss did not improve from 0.94004
Epoch 47/50
 - 13s - loss: 0.8121 - acc: 0.7083 - val_loss: 1.0879 - val_acc: 0.6667

Epoch 00047: val_loss did not improve from 0.94004
Epoch 48/50
 - 13s - loss: 0.8355 - acc: 0.7024 - val_loss: 1.2325 - val_acc: 0.4762

Epoch 00048: val_loss did not improve from 0.94004
Epoch 49/50
 - 13s - loss: 0.7985 - acc: 0.7202 - val_loss: 0.9517 - val_acc: 0.6667

Epoch 00049: val_loss did not improve from 0.94004
Epoch 50/50
 - 13s - loss: 0.7498 - acc: 0.7262 - val_loss: 0.9559 - val_acc: 0.6667

Epoch 00050: val_loss did not improve from 0.94004
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">loss_plot</span><span class="p">(</span><span class="n">cnn_mc_history</span><span class="p">)</span>
<span class="n">acc_plot</span><span class="p">(</span><span class="n">cnn_mc_history</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[49]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s1">&#39;weights.best.cnn_mc.flowers.hdf5&#39;</span><span class="p">)</span>
<span class="n">cnn_mc_test_score</span> <span class="o">=</span> <span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">x_test</span><span class="p">,</span> <span class="n">c_y_test</span><span class="p">)</span>
<span class="n">cnn_mc_test_score</span>
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<pre>21/21 [==============================] - 0s 22ms/step
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<pre>[0.971106231212616, 0.6666666865348816]</pre>
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<div class="prompt input_prompt">In&nbsp;[50]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_generator</span> <span class="o">=</span> <span class="n">keras_image</span><span class="o">.</span><span class="n">ImageDataGenerator</span><span class="p">(</span><span class="n">shear_range</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span> 
                                                <span class="n">zoom_range</span><span class="o">=</span><span class="mf">0.3</span><span class="p">,</span>
                                                <span class="n">rotation_range</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span>
                                                <span class="n">horizontal_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">cnn_mc_dg_history</span> <span class="o">=</span> <span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">fit_generator</span><span class="p">(</span><span class="n">data_generator</span><span class="o">.</span><span class="n">flow</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">c_y_train</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">),</span>
                                               <span class="n">steps_per_epoch</span><span class="o">=</span><span class="mi">189</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> 
                                               <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="p">,</span> <span class="n">c_y_valid</span><span class="p">),</span>
                                               <span class="n">callbacks</span><span class="o">=</span><span class="p">[</span><span class="n">cnn_mc_checkpointer</span><span class="p">])</span>
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<pre>Epoch 1/5
 - 752s - loss: 0.7075 - acc: 0.7476 - val_loss: 0.8383 - val_acc: 0.7143

Epoch 00001: val_loss improved from 0.94004 to 0.83829, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 2/5
 - 721s - loss: 0.4634 - acc: 0.8286 - val_loss: 0.6842 - val_acc: 0.8095

Epoch 00002: val_loss improved from 0.83829 to 0.68423, saving model to weights.best.cnn_mc.flowers.hdf5
Epoch 3/5
 - 707s - loss: 0.3450 - acc: 0.8752 - val_loss: 0.7894 - val_acc: 0.7619

Epoch 00003: val_loss did not improve from 0.68423
Epoch 4/5
 - 727s - loss: 0.2552 - acc: 0.9094 - val_loss: 1.0961 - val_acc: 0.7143

Epoch 00004: val_loss did not improve from 0.68423
Epoch 5/5
 - 703s - loss: 0.1506 - acc: 0.9483 - val_loss: 1.0202 - val_acc: 0.7619

Epoch 00005: val_loss did not improve from 0.68423
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">loss_plot</span><span class="p">(</span><span class="n">cnn_mc_dg_history</span><span class="p">)</span>
<span class="n">acc_plot</span><span class="p">(</span><span class="n">cnn_mc_dg_history</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s1">&#39;weights.best.cnn_mc.flowers.hdf5&#39;</span><span class="p">)</span>
<span class="n">cnn_mc_dg_test_score</span> <span class="o">=</span> <span class="n">cnn_mc_model</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">x_test</span><span class="p">,</span> <span class="n">c_y_test</span><span class="p">)</span>
<span class="n">cnn_mc_dg_test_score</span>
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<pre>21/21 [==============================] - 0s 22ms/step
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<pre>[0.7551586031913757, 0.8095238208770752]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># RNN</span>
<span class="k">def</span> <span class="nf">rnn_mc_model</span><span class="p">():</span>
    <span class="n">model</span> <span class="o">=</span> <span class="n">Sequential</span><span class="p">()</span>

    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">LSTM</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="n">return_sequences</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">input_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">)))</span> 
<span class="c1">#    model.add(LSTM(128, return_sequences=True))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">LSTM</span><span class="p">(</span><span class="mi">128</span><span class="p">))</span>  
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">))</span>
    
    <span class="n">model</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;softmax&#39;</span><span class="p">))</span>

    <span class="n">model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">loss</span><span class="o">=</span><span class="s1">&#39;categorical_crossentropy&#39;</span><span class="p">,</span> <span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;adam&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>    
    <span class="k">return</span> <span class="n">model</span>

<span class="n">rnn_mc_model</span> <span class="o">=</span> <span class="n">rnn_mc_model</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rnn_mc_checkpointer</span> <span class="o">=</span> <span class="n">ModelCheckpoint</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s1">&#39;weights.best.rnn_mc.flowers.hdf5&#39;</span><span class="p">,</span> 
                                      <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">rnn_mc_history</span> <span class="o">=</span> <span class="n">rnn_mc_model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_train</span><span class="p">,</span> 
                                  <span class="n">epochs</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
                                  <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_valid</span><span class="p">),</span>
                                  <span class="n">callbacks</span><span class="o">=</span><span class="p">[</span><span class="n">rnn_mc_checkpointer</span><span class="p">])</span>
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<pre>Train on 168 samples, validate on 21 samples
Epoch 1/30
 - 28s - loss: 2.3015 - acc: 0.1071 - val_loss: 2.3016 - val_acc: 0.1429

Epoch 00001: val_loss improved from inf to 2.30157, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 2/30
 - 6s - loss: 2.2828 - acc: 0.1369 - val_loss: 2.2844 - val_acc: 0.1429

Epoch 00002: val_loss improved from 2.30157 to 2.28440, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 3/30
 - 4s - loss: 2.2482 - acc: 0.1310 - val_loss: 2.2484 - val_acc: 0.1429

Epoch 00003: val_loss improved from 2.28440 to 2.24844, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 4/30
 - 3s - loss: 2.2146 - acc: 0.1369 - val_loss: 2.2044 - val_acc: 0.1429

Epoch 00004: val_loss improved from 2.24844 to 2.20442, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 5/30
 - 6s - loss: 2.1556 - acc: 0.2143 - val_loss: 2.1787 - val_acc: 0.1905

Epoch 00005: val_loss improved from 2.20442 to 2.17874, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 6/30
 - 5s - loss: 2.0940 - acc: 0.2738 - val_loss: 2.1400 - val_acc: 0.2381

Epoch 00006: val_loss improved from 2.17874 to 2.14001, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 7/30
 - 5s - loss: 2.0199 - acc: 0.3274 - val_loss: 2.0595 - val_acc: 0.2381

Epoch 00007: val_loss improved from 2.14001 to 2.05945, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 8/30
 - 6s - loss: 1.9266 - acc: 0.4286 - val_loss: 2.0590 - val_acc: 0.2857

Epoch 00008: val_loss improved from 2.05945 to 2.05896, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 9/30
 - 4s - loss: 1.8428 - acc: 0.3810 - val_loss: 1.9656 - val_acc: 0.2857

Epoch 00009: val_loss improved from 2.05896 to 1.96559, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 10/30
 - 4s - loss: 1.8195 - acc: 0.3631 - val_loss: 1.8900 - val_acc: 0.2857

Epoch 00010: val_loss improved from 1.96559 to 1.89005, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 11/30
 - 4s - loss: 1.7415 - acc: 0.3631 - val_loss: 1.8558 - val_acc: 0.4286

Epoch 00011: val_loss improved from 1.89005 to 1.85583, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 12/30
 - 3s - loss: 1.6581 - acc: 0.5238 - val_loss: 1.7097 - val_acc: 0.2857

Epoch 00012: val_loss improved from 1.85583 to 1.70974, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 13/30
 - 4s - loss: 1.5971 - acc: 0.5060 - val_loss: 1.7931 - val_acc: 0.4762

Epoch 00013: val_loss did not improve from 1.70974
Epoch 14/30
 - 3s - loss: 1.5428 - acc: 0.4762 - val_loss: 1.7088 - val_acc: 0.3810

Epoch 00014: val_loss improved from 1.70974 to 1.70880, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 15/30
 - 3s - loss: 1.4938 - acc: 0.5119 - val_loss: 1.7956 - val_acc: 0.3333

Epoch 00015: val_loss did not improve from 1.70880
Epoch 16/30
 - 3s - loss: 1.5156 - acc: 0.4583 - val_loss: 1.7404 - val_acc: 0.3333

Epoch 00016: val_loss did not improve from 1.70880
Epoch 17/30
 - 3s - loss: 1.5005 - acc: 0.4167 - val_loss: 2.0088 - val_acc: 0.1905

Epoch 00017: val_loss did not improve from 1.70880
Epoch 18/30
 - 3s - loss: 1.4299 - acc: 0.4702 - val_loss: 1.6485 - val_acc: 0.3810

Epoch 00018: val_loss improved from 1.70880 to 1.64847, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 19/30
 - 4s - loss: 1.3664 - acc: 0.5298 - val_loss: 1.5423 - val_acc: 0.3810

Epoch 00019: val_loss improved from 1.64847 to 1.54229, saving model to weights.best.rnn_mc.flowers.hdf5
Epoch 20/30
 - 3s - loss: 1.3144 - acc: 0.4940 - val_loss: 1.6152 - val_acc: 0.3810

Epoch 00020: val_loss did not improve from 1.54229
Epoch 21/30
 - 3s - loss: 1.2479 - acc: 0.5000 - val_loss: 1.6044 - val_acc: 0.3333

Epoch 00021: val_loss did not improve from 1.54229
Epoch 22/30
 - 3s - loss: 1.2492 - acc: 0.5774 - val_loss: 1.6606 - val_acc: 0.3333

Epoch 00022: val_loss did not improve from 1.54229
Epoch 23/30
 - 3s - loss: 1.3338 - acc: 0.4524 - val_loss: 2.0747 - val_acc: 0.2857

Epoch 00023: val_loss did not improve from 1.54229
Epoch 24/30
 - 3s - loss: 1.4353 - acc: 0.4226 - val_loss: 2.1287 - val_acc: 0.1429

Epoch 00024: val_loss did not improve from 1.54229
Epoch 25/30
 - 3s - loss: 1.5080 - acc: 0.4405 - val_loss: 1.6251 - val_acc: 0.3810

Epoch 00025: val_loss did not improve from 1.54229
Epoch 26/30
 - 3s - loss: 1.2063 - acc: 0.5655 - val_loss: 1.7149 - val_acc: 0.3810

Epoch 00026: val_loss did not improve from 1.54229
Epoch 27/30
 - 3s - loss: 1.5060 - acc: 0.3929 - val_loss: 1.5889 - val_acc: 0.5238

Epoch 00027: val_loss did not improve from 1.54229
Epoch 28/30
 - 3s - loss: 1.3757 - acc: 0.5000 - val_loss: 2.1969 - val_acc: 0.1429

Epoch 00028: val_loss did not improve from 1.54229
Epoch 29/30
 - 3s - loss: 1.3128 - acc: 0.5238 - val_loss: 1.8518 - val_acc: 0.1905

Epoch 00029: val_loss did not improve from 1.54229
Epoch 30/30
 - 3s - loss: 1.2500 - acc: 0.5357 - val_loss: 1.5150 - val_acc: 0.2857

Epoch 00030: val_loss improved from 1.54229 to 1.51496, saving model to weights.best.rnn_mc.flowers.hdf5
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">loss_plot</span><span class="p">(</span><span class="n">rnn_mc_history</span><span class="p">)</span>
<span class="n">acc_plot</span><span class="p">(</span><span class="n">rnn_mc_history</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rnn_mc_model</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s1">&#39;weights.best.rnn_mc.flowers.hdf5&#39;</span><span class="p">)</span>
<span class="n">rnn_mc_test_score</span> <span class="o">=</span> <span class="n">rnn_mc_model</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">x_test</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">128</span><span class="o">*</span><span class="mi">128</span><span class="o">*</span><span class="mi">3</span><span class="p">),</span> <span class="n">c_y_test</span><span class="p">)</span>
<span class="n">rnn_mc_test_score</span>
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<pre>21/21 [==============================] - 0s 22ms/step
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<pre>[2.260357141494751, 0.2857142984867096]</pre>
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<h2>&#x1F310; &nbsp; 3. Applications</h2>

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<div class="prompt input_prompt">In&nbsp;[27]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># InceptionV3</span>
<span class="n">iv3_base_model</span> <span class="o">=</span> <span class="n">InceptionV3</span><span class="p">(</span><span class="n">weights</span><span class="o">=</span><span class="s1">&#39;imagenet&#39;</span><span class="p">,</span> <span class="n">include_top</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">iv3_base_model</span><span class="o">.</span><span class="n">output</span>

<span class="n">x</span> <span class="o">=</span> <span class="n">GlobalAveragePooling2D</span><span class="p">()(</span><span class="n">x</span><span class="p">)</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">Dense</span><span class="p">(</span><span class="mi">512</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;relu&#39;</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>

<span class="n">y</span> <span class="o">=</span> <span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">activation</span><span class="o">=</span><span class="s1">&#39;softmax&#39;</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>

<span class="n">iv3_model</span> <span class="o">=</span> <span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="o">=</span><span class="n">iv3_base_model</span><span class="o">.</span><span class="n">input</span><span class="p">,</span> <span class="n">outputs</span><span class="o">=</span><span class="n">y</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Freeze InceptionV3 convolutional layers</span>
<span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="n">iv3_base_model</span><span class="o">.</span><span class="n">layers</span><span class="p">:</span>
    <span class="n">layer</span><span class="o">.</span><span class="n">trainable</span> <span class="o">=</span> <span class="kc">False</span>
    
<span class="n">iv3_model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;adam&#39;</span><span class="p">,</span> <span class="n">loss</span><span class="o">=</span><span class="s1">&#39;categorical_crossentropy&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">steps</span><span class="p">,</span> <span class="n">epochs</span> <span class="o">=</span> <span class="mi">150</span><span class="p">,</span> <span class="mi">10</span>
<span class="n">data_generator</span> <span class="o">=</span> <span class="n">keras_image</span><span class="o">.</span><span class="n">ImageDataGenerator</span><span class="p">(</span><span class="n">shear_range</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
                                                <span class="n">zoom_range</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> 
                                                <span class="n">horizontal_flip</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">iv3_history</span> <span class="o">=</span> <span class="n">iv3_model</span><span class="o">.</span><span class="n">fit_generator</span><span class="p">(</span><span class="n">data_generator</span><span class="o">.</span><span class="n">flow</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">c_y_train</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">),</span>
                                      <span class="n">steps_per_epoch</span><span class="o">=</span><span class="n">steps</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="n">epochs</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> 
                                      <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="p">,</span> <span class="n">c_y_valid</span><span class="p">))</span>
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<pre>Epoch 1/10
 - 673s - loss: 0.5201 - acc: 0.8513 - val_loss: 5.8431 - val_acc: 0.3333
Epoch 2/10
 - 637s - loss: 0.1628 - acc: 0.9520 - val_loss: 6.8648 - val_acc: 0.3333
Epoch 3/10
 - 620s - loss: 0.1178 - acc: 0.9638 - val_loss: 5.5775 - val_acc: 0.4286
Epoch 4/10
 - 511s - loss: 0.0901 - acc: 0.9725 - val_loss: 7.7601 - val_acc: 0.3810
Epoch 5/10
 - 515s - loss: 0.0898 - acc: 0.9729 - val_loss: 6.2671 - val_acc: 0.3810
Epoch 6/10
 - 505s - loss: 0.0750 - acc: 0.9770 - val_loss: 7.1409 - val_acc: 0.3810
Epoch 7/10
 - 502s - loss: 0.0681 - acc: 0.9776 - val_loss: 7.6638 - val_acc: 0.2857
Epoch 8/10
 - 529s - loss: 0.0591 - acc: 0.9814 - val_loss: 10.2274 - val_acc: 0.2857
Epoch 9/10
 - 513s - loss: 0.0626 - acc: 0.9812 - val_loss: 6.6581 - val_acc: 0.3810
Epoch 10/10
 - 542s - loss: 0.0559 - acc: 0.9818 - val_loss: 8.1993 - val_acc: 0.2857
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">iv3_base_model</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">173</span><span class="p">:]):</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">i</span><span class="p">,</span> <span class="n">layer</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
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<pre>0 batch_normalization_52
1 batch_normalization_57
2 activation_52
3 activation_57
4 conv2d_53
5 conv2d_58
6 batch_normalization_53
7 batch_normalization_58
8 activation_53
9 activation_58
10 average_pooling2d_6
11 conv2d_51
12 conv2d_54
13 conv2d_59
14 conv2d_60
15 batch_normalization_51
16 batch_normalization_54
17 batch_normalization_59
18 batch_normalization_60
19 activation_51
20 activation_54
21 activation_59
22 activation_60
23 mixed6
24 conv2d_65
25 batch_normalization_65
26 activation_65
27 conv2d_66
28 batch_normalization_66
29 activation_66
30 conv2d_62
31 conv2d_67
32 batch_normalization_62
33 batch_normalization_67
34 activation_62
35 activation_67
36 conv2d_63
37 conv2d_68
38 batch_normalization_63
39 batch_normalization_68
40 activation_63
41 activation_68
42 average_pooling2d_7
43 conv2d_61
44 conv2d_64
45 conv2d_69
46 conv2d_70
47 batch_normalization_61
48 batch_normalization_64
49 batch_normalization_69
50 batch_normalization_70
51 activation_61
52 activation_64
53 activation_69
54 activation_70
55 mixed7
56 conv2d_73
57 batch_normalization_73
58 activation_73
59 conv2d_74
60 batch_normalization_74
61 activation_74
62 conv2d_71
63 conv2d_75
64 batch_normalization_71
65 batch_normalization_75
66 activation_71
67 activation_75
68 conv2d_72
69 conv2d_76
70 batch_normalization_72
71 batch_normalization_76
72 activation_72
73 activation_76
74 max_pooling2d_4
75 mixed8
76 conv2d_81
77 batch_normalization_81
78 activation_81
79 conv2d_78
80 conv2d_82
81 batch_normalization_78
82 batch_normalization_82
83 activation_78
84 activation_82
85 conv2d_79
86 conv2d_80
87 conv2d_83
88 conv2d_84
89 average_pooling2d_8
90 conv2d_77
91 batch_normalization_79
92 batch_normalization_80
93 batch_normalization_83
94 batch_normalization_84
95 conv2d_85
96 batch_normalization_77
97 activation_79
98 activation_80
99 activation_83
100 activation_84
101 batch_normalization_85
102 activation_77
103 mixed9_0
104 concatenate_1
105 activation_85
106 mixed9
107 conv2d_90
108 batch_normalization_90
109 activation_90
110 conv2d_87
111 conv2d_91
112 batch_normalization_87
113 batch_normalization_91
114 activation_87
115 activation_91
116 conv2d_88
117 conv2d_89
118 conv2d_92
119 conv2d_93
120 average_pooling2d_9
121 conv2d_86
122 batch_normalization_88
123 batch_normalization_89
124 batch_normalization_92
125 batch_normalization_93
126 conv2d_94
127 batch_normalization_86
128 activation_88
129 activation_89
130 activation_92
131 activation_93
132 batch_normalization_94
133 activation_86
134 mixed9_1
135 concatenate_2
136 activation_94
137 mixed10
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Unfreeze the layers [173:]</span>
<span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="n">iv3_model</span><span class="o">.</span><span class="n">layers</span><span class="p">[:</span><span class="mi">173</span><span class="p">]:</span>
    <span class="n">layer</span><span class="o">.</span><span class="n">trainable</span> <span class="o">=</span> <span class="kc">False</span>
<span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="n">iv3_model</span><span class="o">.</span><span class="n">layers</span><span class="p">[</span><span class="mi">173</span><span class="p">:]:</span>
    <span class="n">layer</span><span class="o">.</span><span class="n">trainable</span> <span class="o">=</span> <span class="kc">True</span>
    
<span class="n">iv3_model</span><span class="o">.</span><span class="n">compile</span><span class="p">(</span><span class="n">optimizer</span><span class="o">=</span><span class="s1">&#39;adam&#39;</span><span class="p">,</span> <span class="n">loss</span><span class="o">=</span><span class="s1">&#39;categorical_crossentropy&#39;</span><span class="p">,</span> <span class="n">metrics</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;accuracy&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">iv3_checkpointer</span> <span class="o">=</span> <span class="n">ModelCheckpoint</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s1">&#39;weights.best.iv3.flowers.hdf5&#39;</span><span class="p">,</span> 
                                   <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">save_best_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">iv3_history_unfreeze</span> <span class="o">=</span> <span class="n">iv3_model</span><span class="o">.</span><span class="n">fit_generator</span><span class="p">(</span><span class="n">data_generator</span><span class="o">.</span><span class="n">flow</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">c_y_train</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="mi">64</span><span class="p">),</span>
                                               <span class="n">steps_per_epoch</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> 
                                               <span class="n">validation_data</span><span class="o">=</span><span class="p">(</span><span class="n">x_valid</span><span class="p">,</span> <span class="n">c_y_valid</span><span class="p">),</span> 
                                               <span class="n">callbacks</span><span class="o">=</span><span class="p">[</span><span class="n">iv3_checkpointer</span><span class="p">])</span>
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<pre>Epoch 1/5
 - 1211s - loss: 0.2481 - acc: 0.9728 - val_loss: 1.3091 - val_acc: 0.8095

Epoch 00001: val_loss improved from inf to 1.30911, saving model to weights.best.iv3.flowers.hdf5
Epoch 2/5
 - 963s - loss: 0.1628 - acc: 0.9874 - val_loss: 2.3698 - val_acc: 0.5238

Epoch 00002: val_loss did not improve from 1.30911
Epoch 3/5
 - 913s - loss: 0.2480 - acc: 0.9780 - val_loss: 6.0716 - val_acc: 0.4286

Epoch 00003: val_loss did not improve from 1.30911
Epoch 4/5
 - 906s - loss: 0.2943 - acc: 0.9800 - val_loss: 2.0127 - val_acc: 0.7619

Epoch 00004: val_loss did not improve from 1.30911
Epoch 5/5
 - 895s - loss: 0.2684 - acc: 0.9814 - val_loss: 2.1117 - val_acc: 0.6667

Epoch 00005: val_loss did not improve from 1.30911
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">iv3_model</span><span class="o">.</span><span class="n">load_weights</span><span class="p">(</span><span class="s1">&#39;weights.best.iv3.flowers.hdf5&#39;</span><span class="p">)</span>
<span class="n">iv3_test_scores</span> <span class="o">=</span> <span class="n">iv3_model</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span><span class="n">x_test</span><span class="p">,</span> <span class="n">c_y_test</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Accuracy: </span><span class="si">%.2f%%</span><span class="s2">&quot;</span> <span class="o">%</span> <span class="p">(</span><span class="n">iv3_test_scores</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">*</span><span class="mi">100</span><span class="p">))</span>
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<pre>21/21 [==============================] - 19s 919ms/step
Accuracy: 66.67%
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<p><a href="https://www.kaggle.com/olgabelitskaya/the-dataset-of-flower-images">Kaggle. The Dataset of Flower Images</a></p>

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