Notebooks/11_Analysis_Tables.html

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<title>11_Analysis_Tables</title>

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

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

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

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
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fieldset[disabled] .notification_widget.success:hover,
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fieldset[disabled] .notification_widget.success:focus,
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fieldset[disabled] .notification_widget.success.focus {
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fieldset[disabled] .notification_widget.info:hover,
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fieldset[disabled] .notification_widget.info:focus,
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fieldset[disabled] .notification_widget.info.focus {
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  -webkit-box-align: stretch;
  display: -moz-box;
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  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
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  width: 21ex;
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}
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  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
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  align-items: baseline;
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  flex: 1;
}
span.save_widget span.filename {
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  border: none;
  font-size: 146.5%;
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span.save_widget span.filename:hover {
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}
[dir="rtl"] span.save_widget.pull-left {
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  float: right;
}
[dir="rtl"] span.save_widget span.filename {
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  margin-right: 16px;
}
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span.autosave_status {
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  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
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  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
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  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
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}
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  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
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  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
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}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
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  color: white;
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/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
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  to {
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}
@-webkit-keyframes fadeOut {
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}
@-moz-keyframes fadeIn {
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@-webkit-keyframes fadeIn {
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}
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  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
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}
/*properties of tooltip before "expand"*/
.smalltooltip {
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  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
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  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
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  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
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}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
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  z-index: 1000;
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}
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  margin: 0px;
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  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
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  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
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  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
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[dir="rtl"] ul.typeahead-list i {
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.cmd-palette .modal-body {
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}
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}
.cmd-palette input {
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.no-shortcut {
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  color: transparent;
}
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  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
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  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
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.edit-shortcut:before {
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  padding-right: 3px;
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  overflow: auto;
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#find-and-replace #replace-preview pre {
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.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
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  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
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  font-size: 14px;
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<h1 id="Analysis-presented-in-Tables">Analysis presented in Tables<a class="anchor-link" href="#Analysis-presented-in-Tables">&#182;</a></h1><p>Here we process information that lead to tables useful for analyze the results.
First, we import all the important packages</p>

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<span class="o">%</span><span class="k">matplotlib</span> inline
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<pre>Using matplotlib backend: Qt5Agg
Populating the interactive namespace from numpy and matplotlib
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<div class=" highlight hl-ipython3"><pre><span></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">xgboost</span> <span class="k">as</span> <span class="nn">xgb</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">astropy.units</span> <span class="k">as</span> <span class="nn">u</span>
<span class="kn">from</span> <span class="nn">astropy.table</span> <span class="kn">import</span> <span class="n">Table</span><span class="p">,</span> <span class="n">join</span>

<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">preprocessing</span>
<span class="kn">from</span> <span class="nn">sklearn.decomposition</span> <span class="kn">import</span> <span class="n">PCA</span>
<span class="kn">from</span> <span class="nn">sklearn.dummy</span> <span class="kn">import</span> <span class="n">DummyClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.feature_selection</span> <span class="kn">import</span> <span class="n">RFECV</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="kn">import</span> <span class="n">RandomForestClassifier</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span><span class="p">,</span> <span class="n">StratifiedKFold</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="kn">import</span> <span class="n">accuracy_score</span><span class="p">,</span> <span class="n">f1_score</span><span class="p">,</span> <span class="n">matthews_corrcoef</span>
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<p>Additionally, we include some shortcuts to simplify some code</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">create_table_cig</span><span class="p">(</span><span class="n">param_tab</span><span class="p">,</span> <span class="n">samp</span><span class="p">,</span> <span class="n">typ_agn</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Calculate the Matthews, Cohen, F1-macro and accuracy of the results&quot;&quot;&quot;</span>
    <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;SKIRTOR&#39;</span><span class="p">,</span> <span class="s1">&#39;Fritz&#39;</span><span class="p">,</span> <span class="s1">&#39;S37&#39;</span><span class="p">,</span> <span class="s1">&#39;F37&#39;</span><span class="p">]:</span>
        <span class="n">mcc</span> <span class="o">=</span> <span class="n">matthews_corrcoef</span><span class="p">(</span>
            <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">],</span> <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">typ_agn</span><span class="p">])</span>
        <span class="n">f1s</span> <span class="o">=</span> <span class="n">f1_score</span><span class="p">(</span><span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">],</span>
                       <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">typ_agn</span><span class="p">],</span> <span class="n">average</span><span class="o">=</span><span class="s1">&#39;macro&#39;</span><span class="p">)</span>
        <span class="n">acc</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">],</span> <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">typ_agn</span><span class="p">])</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">mcc</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="nb">round</span><span class="p">(</span><span class="n">f1s</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="nb">round</span><span class="p">(</span><span class="n">acc</span><span class="p">,</span> <span class="mi">3</span><span class="p">))</span>


<span class="k">def</span> <span class="nf">create_table_clas</span><span class="p">(</span><span class="n">param_tab</span><span class="p">,</span> <span class="n">samp</span><span class="p">,</span> <span class="n">typ_agn</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Calculate the Matthwes, Cohen, F1-macro and accuracy of the results from the Classifiers&quot;&quot;&quot;</span>
    <span class="n">final_v</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;SKIRTOR&#39;</span><span class="p">,</span> <span class="s1">&#39;Fritz&#39;</span><span class="p">,</span> <span class="s1">&#39;S37&#39;</span><span class="p">,</span> <span class="s1">&#39;F37&#39;</span><span class="p">]:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
        <span class="n">x_ini</span> <span class="o">=</span> <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">]</span>
        <span class="n">y_ini</span> <span class="o">=</span> <span class="n">param_tab</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">typ_agn</span><span class="p">]</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">x_ini</span><span class="p">,</span>
                                                            <span class="n">y_ini</span><span class="p">,</span>
                                                            <span class="n">test_size</span><span class="o">=</span><span class="mf">0.20</span><span class="p">,</span>
                                                            <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
        <span class="n">lab_enc</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">LabelEncoder</span><span class="p">()</span>
        <span class="n">lab_enc</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">y_ini</span><span class="p">)</span>
        <span class="n">x_train_encode</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_train</span><span class="p">)</span>
        <span class="n">x_test_encode</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_test</span><span class="p">)</span>
        <span class="n">y_train_encode</span> <span class="o">=</span> <span class="n">lab_enc</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">y_train</span><span class="p">)</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="o">.</span><span class="n">ravel</span><span class="p">()</span>
        <span class="n">y_test_encode</span> <span class="o">=</span> <span class="n">lab_enc</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">y_test</span><span class="p">)</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="o">.</span><span class="n">ravel</span><span class="p">()</span>
        <span class="c1"># This classifiers need to be defined before use</span>
        <span class="k">for</span> <span class="n">iclf</span><span class="p">,</span> <span class="n">clasi</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="n">clf_rf</span><span class="p">,</span> <span class="n">clf_xg</span><span class="p">]):</span>
            <span class="n">clasi</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train_encode</span><span class="p">,</span> <span class="n">y_train_encode</span><span class="p">)</span>
            <span class="n">mcc</span> <span class="o">=</span> <span class="n">matthews_corrcoef</span><span class="p">(</span>
                <span class="n">y_test_encode</span><span class="p">,</span> <span class="n">clasi</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_test_encode</span><span class="p">))</span>
            <span class="n">f1s</span> <span class="o">=</span> <span class="n">f1_score</span><span class="p">(</span><span class="n">y_test_encode</span><span class="p">,</span> <span class="n">clasi</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span>
                <span class="n">x_test_encode</span><span class="p">),</span> <span class="n">average</span><span class="o">=</span><span class="s1">&#39;macro&#39;</span><span class="p">)</span>
            <span class="n">acc</span> <span class="o">=</span> <span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_test_encode</span><span class="p">,</span> <span class="n">clasi</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_test_encode</span><span class="p">))</span>
            <span class="n">final_v</span><span class="o">.</span><span class="n">append</span><span class="p">([[</span><span class="s1">&#39;RandomForest&#39;</span><span class="p">,</span> <span class="s1">&#39;XGBoost&#39;</span><span class="p">][</span><span class="n">iclf</span><span class="p">],</span> <span class="n">model</span><span class="p">,</span>
                            <span class="nb">round</span><span class="p">(</span><span class="n">mcc</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="nb">round</span><span class="p">(</span><span class="n">f1s</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="nb">round</span><span class="p">(</span><span class="n">acc</span><span class="p">,</span> <span class="mi">3</span><span class="p">)])</span>
    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">final_v</span><span class="p">)</span>


<span class="k">def</span> <span class="nf">selt1_or_selt2</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select Seyferts 1 and 2 in both VCV and CDS&quot;&quot;&quot;</span>
    <span class="n">selec1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1&#39;</span><span class="p">)</span>
    <span class="n">selec2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy2&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S2&#39;</span><span class="p">)</span>
    <span class="n">select_sey</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="p">(</span><span class="n">selec1</span><span class="p">,</span> <span class="n">selec2</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">select_sey</span><span class="p">]</span>
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<h2 id="Join-all-clean-results">Join all clean results<a class="anchor-link" href="#Join-all-clean-results">&#182;</a></h2>
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<p>We read the results from the models we are going to use</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ModelS</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;../Data/Final/CIGALEOutputs/Cleanresults_SK.fits&#39;</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;fits&#39;</span><span class="p">)</span>
<span class="n">ModelF</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;../Data/Final/CIGALEOutputs/Cleanresults_Fr.fits&#39;</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;fits&#39;</span><span class="p">)</span>

<span class="n">ModelS37</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;../Data/Final/CIGALEOutputs/Cleanresults_SK37.fits&#39;</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;fits&#39;</span><span class="p">)</span>
<span class="n">ModelF37</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;../Data/Final/CIGALEOutputs/Cleanresults_Fr37.fits&#39;</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;fits&#39;</span><span class="p">)</span>
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<p>We also read the original database of galaxies to use the information for the classification</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Sample</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s1">&#39;../Data/Final/VCV_SMB_otype.txt&#39;</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;ascii&#39;</span><span class="p">)</span>
<span class="n">Sample</span><span class="o">.</span><span class="n">rename_column</span><span class="p">(</span><span class="s1">&#39;main_id&#39;</span><span class="p">,</span> <span class="s1">&#39;id&#39;</span><span class="p">)</span>  <span class="c1"># Renamed to use the join with the same id</span>
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<p>We join these clean tables with the catalog. We send all the tables to pandas format. Then, we concatenate the tables to have an unique table.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">SPandas</span> <span class="o">=</span> <span class="n">join</span><span class="p">(</span><span class="n">Sample</span><span class="p">,</span> <span class="n">ModelS</span><span class="p">,</span> <span class="n">keys</span><span class="o">=</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">FPandas</span> <span class="o">=</span> <span class="n">join</span><span class="p">(</span><span class="n">Sample</span><span class="p">,</span> <span class="n">ModelF</span><span class="p">,</span> <span class="n">keys</span><span class="o">=</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">SPandas37</span> <span class="o">=</span> <span class="n">join</span><span class="p">(</span><span class="n">Sample</span><span class="p">,</span> <span class="n">ModelS37</span><span class="p">,</span> <span class="n">keys</span><span class="o">=</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">FPandas37</span> <span class="o">=</span> <span class="n">join</span><span class="p">(</span><span class="n">Sample</span><span class="p">,</span> <span class="n">ModelF37</span><span class="p">,</span> <span class="n">keys</span><span class="o">=</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="n">SFPandas</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">SPandas</span><span class="p">,</span> <span class="n">FPandas</span><span class="p">,</span> <span class="n">SPandas37</span><span class="p">,</span> <span class="n">FPandas37</span><span class="p">],</span>
                     <span class="n">keys</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;SKIRTOR&#39;</span><span class="p">,</span> <span class="s1">&#39;Fritz&#39;</span><span class="p">,</span> <span class="s1">&#39;S37&#39;</span><span class="p">,</span> <span class="s1">&#39;F37&#39;</span><span class="p">],</span>
                     <span class="n">names</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Model&#39;</span><span class="p">,</span> <span class="s1">&#39;idCIG&#39;</span><span class="p">])</span>
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<h2 id="Feature-selection">Feature selection<a class="anchor-link" href="#Feature-selection">&#182;</a></h2><p>Here, we selected the features to use in the estimations for the analysis and predictions. First, we select the max number of useful features from CIGALE output.
We select the physical parameters in all the models and remove the ones that are not useful for our propose (e.g. constant values).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">GoodColumns</span> <span class="o">=</span> <span class="p">[</span><span class="n">col</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">)</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;bayes&#39;</span> <span class="ow">in</span> <span class="n">col</span><span class="p">]</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">)[</span><span class="n">GoodColumns</span><span class="p">]</span>
<span class="n">Descr</span> <span class="o">=</span> <span class="n">newdf</span><span class="o">.</span><span class="n">describe</span><span class="p">()</span>
<span class="n">BadCol</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="n">Descr</span><span class="p">[</span><span class="n">cl</span><span class="p">][</span><span class="s1">&#39;std&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">1e-2</span><span class="p">]</span>  <span class="c1"># Removing constant columns</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">newdf</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">BadCol</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># Removing calculated errors</span>
<span class="n">BadCol2</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;_err&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">newdf</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">BadCol2</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="c1"># Removing young estimations</span>
<span class="n">BadCol3</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;_young&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="c1"># Removing old estimations</span>
<span class="n">BadCol4</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;_old&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="c1"># Removing estimations with lines</span>
<span class="n">BadCol5</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;_lines&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="c1"># Removing universe values, these are dependent of redshift</span>
<span class="n">BadCol6</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;universe&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="c1"># Removing filter in the attenuation module</span>
<span class="n">BadCol7</span> <span class="o">=</span> <span class="p">[</span><span class="n">cl</span> <span class="k">for</span> <span class="n">cl</span> <span class="ow">in</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span> <span class="k">if</span> <span class="s1">&#39;FUV&#39;</span> <span class="ow">in</span> <span class="n">cl</span><span class="p">]</span>
<span class="n">BadCols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">([</span><span class="n">BadCol3</span><span class="p">,</span> <span class="n">BadCol4</span><span class="p">,</span> <span class="n">BadCol5</span><span class="p">,</span> <span class="n">BadCol6</span><span class="p">,</span> <span class="n">BadCol7</span><span class="p">])</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">newdf</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">BadCols</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">newdf</span><span class="o">.</span><span class="n">dropna</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s1">&#39;columns&#39;</span><span class="p">)</span>
<span class="n">newdf</span> <span class="o">=</span> <span class="n">newdf</span><span class="p">[</span><span class="n">newdf</span><span class="o">.</span><span class="n">columns</span><span class="p">[:</span><span class="o">-</span><span class="mi">31</span><span class="p">]]</span>  <span class="c1"># Remove the mock photometry</span>
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<p>We split the sample of galaxies into train and test sets. Then, we encode and scale the physical parameters.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x_ori</span> <span class="o">=</span> <span class="n">newdf</span>
<span class="n">y_ori</span> <span class="o">=</span> <span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">)[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span>
<span class="n">x_train_o</span><span class="p">,</span> <span class="n">x_test_o</span><span class="p">,</span> <span class="n">y_train_o</span><span class="p">,</span> <span class="n">y_test_o</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">x_ori</span><span class="p">,</span> <span class="n">y_ori</span><span class="p">,</span>
                                                            <span class="n">test_size</span><span class="o">=</span><span class="mf">0.20</span><span class="p">,</span>
                                                            <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
<span class="n">lab_enc_o</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">LabelEncoder</span><span class="p">()</span>
<span class="n">lab_enc_o</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">y_ori</span><span class="p">)</span>
<span class="n">x_train_encode_o</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_train_o</span><span class="p">)</span>
<span class="n">x_test_encode_o</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_test_o</span><span class="p">)</span>
<span class="n">y_train_encode_o</span> <span class="o">=</span> <span class="n">lab_enc_o</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">y_train_o</span><span class="p">)</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="o">.</span><span class="n">ravel</span><span class="p">()</span>
<span class="n">y_test_encode_o</span> <span class="o">=</span> <span class="n">lab_enc_o</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">y_test_o</span><span class="p">)</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="o">.</span><span class="n">ravel</span><span class="p">()</span>
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<p>Principal Component Analysis (PCA) shows that only a few physical parameters are needed. More than ~7 if we made a cut at 99% on the variance ratio.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x_train_n</span> <span class="o">=</span> <span class="p">((</span><span class="n">x_train_encode_o</span><span class="o">-</span><span class="n">x_train_encode_o</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span> <span class="o">/</span>
             <span class="p">(</span><span class="n">x_train_encode_o</span><span class="o">.</span><span class="n">max</span><span class="p">()</span><span class="o">-</span><span class="n">x_train_encode_o</span><span class="o">.</span><span class="n">min</span><span class="p">()))</span>
<span class="c1"># x_test_N = (x_test_encode-x_test_encode.mean())/(x_test_encode.max()-x_test_encode.min())</span>

<span class="n">pca</span> <span class="o">=</span> <span class="n">PCA</span><span class="p">()</span>
<span class="n">pca</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train_n</span><span class="p">)</span>

<span class="n">sns</span><span class="o">.</span><span class="n">set</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="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
<span class="n">sns</span><span class="o">.</span><span class="n">lineplot</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">pca</span><span class="o">.</span><span class="n">explained_variance_ratio_</span><span class="p">))</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="mf">0.99</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">axvline</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="mi">7</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Number of components&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Cumulative explained variance&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Cumulative explained variance&#39;)</pre>
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<p>We selected two different classifiers (<a href="https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html">Random Forest</a> and <a href="https://xgboost.readthedocs.io/en/latest/python/python_api.html">XGBoost</a>). We use the parameters values we found previously (<a href="10_PreAnalysis.ipynb">10_PreAnalysis</a> notebook) from the classifiers .</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">clf_rf</span> <span class="o">=</span> <span class="n">RandomForestClassifier</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">max_depth</span><span class="o">=</span><span class="mi">25</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
<span class="n">clf_xg</span> <span class="o">=</span> <span class="n">xgb</span><span class="o">.</span><span class="n">XGBClassifier</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span> <span class="n">max_depth</span><span class="o">=</span><span class="mi">25</span><span class="p">,</span>
                           <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">,</span> <span class="n">use_label_encoder</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">eval_metric</span><span class="o">=</span><span class="s1">&#39;logloss&#39;</span><span class="p">)</span>
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<p>We create a feature ranking with recursive feature elimination and cross-validated selection (<a href="https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html">RFECV</a>). We evaluate with the accuracy score and we use a 10-fold cross-validation.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rfecv_xg</span> <span class="o">=</span> <span class="n">RFECV</span><span class="p">(</span><span class="n">estimator</span><span class="o">=</span><span class="n">clf_xg</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">StratifiedKFold</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
                 <span class="n">scoring</span><span class="o">=</span><span class="s1">&#39;f1_macro&#39;</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">min_features_to_select</span><span class="o">=</span><span class="mi">7</span><span class="p">)</span>
<span class="n">rfecv_xg</span> <span class="o">=</span> <span class="n">rfecv_xg</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train_encode_o</span><span class="p">,</span> <span class="n">y_train_encode_o</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Optimal number of features :&#39;</span><span class="p">,</span> <span class="n">rfecv_xg</span><span class="o">.</span><span class="n">n_features_</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Best features :&#39;</span><span class="p">,</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">rfecv_xg</span><span class="o">.</span><span class="n">support_</span><span class="p">])</span>
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<pre>Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Fitting estimator with 21 features.
Fitting estimator with 20 features.
Fitting estimator with 19 features.
Fitting estimator with 18 features.
Fitting estimator with 17 features.
Fitting estimator with 16 features.
Fitting estimator with 15 features.
Fitting estimator with 14 features.
Fitting estimator with 13 features.
Fitting estimator with 12 features.
Fitting estimator with 11 features.
Fitting estimator with 10 features.
Fitting estimator with 9 features.
Fitting estimator with 8 features.
Fitting estimator with 24 features.
Fitting estimator with 23 features.
Fitting estimator with 22 features.
Optimal number of features : 21
Best features : Index([&#39;bayes.agn.EBV&#39;, &#39;bayes.agn.fracAGN&#39;, &#39;bayes.agn.i&#39;,
       &#39;bayes.attenuation.E_BVs&#39;, &#39;bayes.attenuation.powerlaw_slope&#39;,
       &#39;bayes.dust.alpha&#39;, &#39;bayes.sfh.age&#39;, &#39;bayes.sfh.tau_main&#39;,
       &#39;bayes.stellar.age_m_star&#39;, &#39;bayes.agn.accretion_power&#39;,
       &#39;bayes.agn.disk_luminosity&#39;, &#39;bayes.agn.dust_luminosity&#39;,
       &#39;bayes.agn.intrin_Lnu_2500A&#39;, &#39;bayes.agn.luminosity&#39;,
       &#39;bayes.dust.luminosity&#39;, &#39;bayes.sfh.integrated&#39;, &#39;bayes.sfh.sfr&#39;,
       &#39;bayes.sfh.sfr100Myrs&#39;, &#39;bayes.stellar.lum&#39;, &#39;bayes.stellar.m_gas&#39;,
       &#39;bayes.stellar.m_star&#39;],
      dtype=&#39;object&#39;)
</pre>
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<p>Here the number of correct  classifications is still increasing with the number of features</p>

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<div class="prompt input_prompt">In&nbsp;[12]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">6</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="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">rfecv_xg</span><span class="o">.</span><span class="n">grid_scores_</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span>
         <span class="n">rfecv_xg</span><span class="o">.</span><span class="n">grid_scores_</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Number of features&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Correct classifications&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Correct classifications&#39;)</pre>
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F/lFxH/UfgWEWnFyqsb+N3z2yitbGDOpL6n3O65uYRZQmgfH0n7+Mhzft7ZVtPLqx00AuWV9dQ1uKipd1Jy8vf1jkbqHed3O+oQs+m0UH7GsH4yyJ8pxEeEhRBuCeHL45WeCyaLK+oB6JIWy83Du9CvWxJpiVbdel1EfELhW0SklSqralrxLq9qYM7kvnTPiA9oPedaTT/XraLdhkHDyRBe73BR13Dqx3pHoyeo1zlc1H/j8epaJ8Xl9U2POxppOM8gDxAaYqZXZgJjr+hEv6z2xEeHX8SrFxE5PwrfIiKtUFlVA0ue20p5jaNFBO+LYTaZiAwPPTlp5eICsNtt0OBsCut1J8N8/RnCvK2dld5d2rWq/egiEhz0p46ISCtTWlnPkue3UVnjYO7kfmSlxwW6pBbDbP5mkBcRaXn0p5OISCtSWlnPkue2UVnr4Cff7UdWBwVvEZHWROFbRKSVKKmoZ8nzW6muczL3u/3oquAtItLqKHyLiLQCxRV1LHluGzX1LuZ+tz9d0mIDXZKIiHwLCt8iIi1ccXkdS55vCt4/vaUfnVMVvEVEWiuFbxGRFqy4vI7Fz22jrkHBW0QkGCh8i4i0UEXldSx5biv1jkZ+ems/Mm0K3iIirZ3Ct4hIC1R4Mng3OBr56S396WSLCXRJIiLSDBS+RURamMKyWpY8v03BW0QkCCl8i4i0IPayWpY8tw2ny829t/anY4qCt4hIMFH4FhFpIeylTSveXwXvjOToQJckIiLNTOFbRKQFKCitZclzW3E1Gtx3a3/SFbxFRIKSwreISICdKKlhyfPbcLsN7vtef9KTFLxFRIKVwreISACdKKlhyXPbMIymFe8OCt4iIkFN4VtEJECOFzeteAPc+70BdGgfFeCKRETE1xS+RUQC4FhxDb97bismk4n7vtef1EQFbxGRtkDhW0TEz/KLqvnd89swm03cd6uCt4hIW6LwLSLiR/mF1fzuhW2EmE3c970B2NpZA12SiIj4kcK3iIifHC1sWvG2hJq579b+pCh4i4i0OQrfIiJ+cMRexSMvbG8K3t/rT0qCgreISFuk8C0i4mNfBe8wS9OKd7KCt4hIm6XwLSLiQ4cLqnjkhW1EhIVw7/cGkBwfGeiSREQkgMy+PHleXh5jx45l9OjRPPvss6c9v2HDBnJzc8nNzWXu3LnU1NQAsHnzZm666SZyc3OZNWsWFRUVAFRWVnLnnXdy3XXXMWXKFIqKinxZvojIRfk6eIdyn4K3iIjgw/Btt9tZunQpzz33HCtWrODFF1/kwIEDnucrKyuZN28eS5cuJS8vj+zsbJYuXQrA/fffz5IlS8jLyyMrK4u//OUvADz22GPk5OSwcuVKJk2axG9+8xtflS8iclEOFVTyu+ebgvfPvtefJAVvERHBh+F748aNDB48mPj4eKxWK2PGjOGdd97xPH/o0CHS0tLIysoCYOTIkaxZswaAt99+m6ysLJxOJ3a7ndjYWADWr19Pbm4uAOPHj+e9997D6XT66iWIiHwrX56o5JHnt2ONCOVnU/rTXsFbRERO8ln4LiwsJCkpyXOcnJyM3W73HGdmZlJQUMDevXsBWLlyJcXFxQBYLBY+//xzhg8fzn/+8x/GjRt32jlDQ0OJjo6mtLTUVy9BROSCHTxeySMvnAze3xtA+zgFbxER+ZrPLrh0u92YTCbPsWEYpxzHxsayePFiFixYgNvtZvLkyVgsFs/zPXr0YOPGjbzwwgvMmTOHF1544bTvYRgGZvP5//shMTH6W74aOZOkpJhAl9AmqM/+0Rx9/vxwKf/70nbiosP47Q+uJClBwfub9F72D/XZ99Rj/wjWPvssfNtsNjZv3uw5LioqIjk52XPc2NiIzWbj5ZdfBmDHjh1kZGTQ0NDA+++/z6hRowC4/vrrWbx4MdC0el5cXIzNZsPlclFTU0N8fPx511RSUo3bbTTHy2vzkpJiKCqqCnQZQU999o/m6POBYxX874vbibWG8dPv9gOXS//tvkHvZf9Qn31PPfaP1txns9l0zgVfn207GTJkCJs2baK0tJS6ujpWrVrFsGHDPM+bTCamTZuG3W7HMAyefvppxo4dS2hoKL/61a/YtWsX0LQdZcCAAQAMHz6cFStWAE37wnNyck5ZLRcR8bfqOifv/OdIU/COCuNnUwbQLjYi0GWJiEgL5bOV75SUFObMmcPUqVNxOp1MnDiRPn36MHPmTO655x4uvfRSFi5cyIwZM3A4HFxxxRVMnz6dkJAQli5dygMPPEBjYyMpKSmeqSazZ89m3rx5jBs3jpiYGB555BFflS8ick5H7FWs25rPR5/ZcbjcZHeMZ2buJSTEhAe6NBERacFMhmG0mX0Y2nbSfFrzj4NaE/XZP863z65GN1v3FbF2Sz778ysIs5i54hIbVw1IJyNZ15Sci97L/qE++5567B+tuc/etp3oDpciIl6UVTWwYfsxNmw/TkWNg+T4SG65KouhfVKJitDWNxEROX8K3yIiZ2AYBvvzK1i3NZ8tnxfhdhtc2jWRqwak07tLO8zfmN4kIiJyvhS+RUS+ocHZyH9221m7JZ+jhdVYw0MZlZPOyP4dSE6wBro8ERFp5RS+RUSAwrJa1m09xgc7TlDb4CI9KZrbr8vm8l4phFtCAl2eiIgECYVvEWmz3IbBroOlfPDGZ2zZY8dsNjGwRxJXDUinW3rcKTcGExERaQ4K3yLS5tTUO/lwxwnWbTtGYVkdCTHh5A7NZHi/DhoVKCIiPqXwLSJtxtHCatZtzWfTZwU4nG6y0uO48TtdGDO0C+VlNYEuT0RE2gCFbxEJal/N5l639Rj7jpZjCTUzuFcKVw1Ip5MtBgBLqM9u9isiInIKhW8ROS8f77FTVtVAQky451d8dDihIS0zuFZUN7Bh+3HWbz9GebWD9nERTB6ZxZV9UomO1GxuEREJDIVvEfFq/fZj/OOdz8/4XKzVQkJMxNeBPCacdic/JkQ3PRYZ7p8/agzD4Itjlazdms/mvYU0ug16d2nHbdemc2mXRMxmXUApIiKBpfAtIuf0+ZEynl21j96d2zEztxcV1Q7Kqhsoqzr1V3FFPfvzy6mpd512joiwkFNWzJt+RXjCeUJMONFWy7e+cY3jq9ncW/M5Yq8mMjyUqwakc9WADqS002xuERFpORS+ReSsisrr+MPru0iKj2TWDZdgjbAQYw0jPTn6rF/jcDZSfoZwXlbVQFl1A7sPlVFR7cBtGKd8XYjZdOrKefR/h/XTt7kUldfx7rZjvP/pcWrqXXRIimLqmB4MviSFiDD98SYiIi2P/nYSkTOqa3Dx+1d34HYb3DOxD9aI89snHWYJITnBes67QbrdBhU1jm8E83rKqhsoP3l8uKCK7VXFOFzu0742NiqMhOhwwixmDuRXYDKZGNC9PVcPTKd7Rrxmc4uISIum8C0ip3EbBsvzdnOiuJY5k/tia+atG+aTq9znmqltGAa1DS7KKhvOuM2lus7BuCGZjOiXRrvYiGatT0RExFcUvkXkNK+/d5DtB4r53qhuXNK5XUBqMJlMREVYiIqwnHObi4iISGvSMmeEiUjAbPqsgLc2HWZY3zSuHpge6HJERESCisK3iHgcPF7J397eS/eMeP7f6O7aPy0iItLMFL5FBICyqgaeeG0H8dFh/PDG3i325jkiIiKtmf52FREczkaeeHUH9Y5G7rm5D7HWsECXJCIiEpQUvkXaOMMw+OvbezhcUMWd43vp4kYREREfUvgWaePe2nSYj/cUctPwLvTvnhTockRERIKawrdIG7Z1XxGvvXeQwb1SGDu4U6DLERERCXoK3yJt1NHCapbn7aZzagy3X5etySYiIiJ+oPAt0gZV1jr4/Ss7iAwP4cc39SHMEhLokkRERNoEhW+RNsbV6Oap13ZSWevg7pv7nPMW7yIiItK8FL5F2hDDMPjnqs/Zl1/BHWOz6ZwaG+iSRERE2hSFb5E2ZM2WfN779ATjrujE4F62QJcjIiLS5ih8i7QRu74s4YW1++nfrT03DusS6HJERETaJIVvkTagoLSWP674jA7to5gxvhdmTTYREREJCIVvkSBXW+/k8Vd2YDabuOfmPkSGhwa6JBERkTbrgsO30+n0RR0i4gONbjd/fOMzisvr+NGNvWkfHxnokkRERNo0r+F78+bNPPXUUzgcDiZNmkROTg5vv/22P2oTkYv00rov2PVlKd8f04MeHRMCXY6IiEib5zV8/+53v6Nfv36sWbOG+Ph43nrrLf7617/6ozYRuQjvf3qc1ZuPMmpgOsP6pgW6HBEREeE8wndjYyNDhgxh48aNjBo1ivT0dNxutz9qE5Fvad/Rcv7x78+5JDOB716dFehyRERE5CSv4dvtdrNjxw7Wr1/PkCFD2Ldvn/Z9i7RgxRV1/OH1nbSPi2DWhN6EmHVdtYiISEvhdezBrFmzmDt3LhMnTiQjI4OrrrqKX/ziF/6oTUQuUL3Dxe9f2Ymr0eCeiX2IirAEuiQRERH5Bq/he/To0YwePdpzvHr1akJCQnxalIhcOLdh8Oc393CsuJo5k/qSmhgV6JJERETkv3gN3wcPHmT58uWUl5djGIbn8T/+8Y8+LUxELsyK979k674ibrm6G727JAa6HBERETkDr+F73rx59OnTh8suuwzTBd4VLy8vj2XLluFyubjtttuYMmXKKc9v2LCBRx55BIDu3buzcOFCoqKi2LJlC4sWLcLpdBIfH89vf/tbOnTowMcff8zdd9+NzWYDoFevXixatOiCahIJRh/vsfPmxkNc2SeVa3LSA12OiIiInIXX8F1XV8f8+fMv+MR2u52lS5fy2muvERYWxi233MLll19OVlbT5IXKykrmzZvHM888Q1ZWFsuXL2fp0qXMnz+fe++9l6eeeors7GxeeeUVHnroIZYtW8auXbuYNm0ad91114W/UpEg9eWJSv7y1h66pcfx/dE9LvgfySIiIuI/XscgdOrUicLCwgs+8caNGxk8eDDx8fFYrVbGjBnDO++843n+0KFDpKWlecL4yJEjWbNmDQ6Hg9mzZ5OdnQ1Ajx49OHHiBAA7d+7kgw8+IDc3l1mzZnkeF2mryqsbePK1ncRaLfzoxkuxhGqyiYiISEvmdeXb7XYzfvx4LrnkEsLDwz2Pe9vzXVhYSFJSkuc4OTmZHTt2eI4zMzMpKChg7969ZGdns3LlSoqLiwkLC+OGG27wfO8nn3ySUaNGARATE8N1113H6NGjef7555kzZw4vvPDCeb/YxMTo8/5c8S4pKSbQJbQJZ+uzw9nIw89tpa7BxZK7v0PntDg/VxZc9H72PfXYP9Rn31OP/SNY++w1fF9zzTVcc801F3xit9t9yo+/DcM45Tg2NpbFixezYMEC3G43kydPxmL5eiyaw+Fg3rx5uFwuzzaThQsXep6/9dZbefTRR6mqqiIm5vz+45SUVON2G94/UbxKSoqhqKgq0GUEvbP12TAM/vzmbvYdKedHN15KtMWs/x4XQe9n31OP/UN99j312D9ac5/NZtM5F3y9/oz6xhtvZNCgQQC4XC4GDBjAjTfe6PUb22w2ioqKPMdFRUUkJyd7jhsbG7HZbLz88su8+uqr9OzZk4yMDABqamqYMWMGLpeLZcuWYbFYcLvdLFu2jMbGxlO+j8YeSlu08j9H2PSZnRu/05mBPZK8f4GIiIi0CF7D9/vvv8/NN9/MmjVrWLt2LRMnTmTNmjVeTzxkyBA2bdpEaWkpdXV1rFq1imHDhnmeN5lMTJs2DbvdjmEYPP3004wdOxaAe++9l06dOvHYY48RFhbWVKjZzOrVq/n3v/8NwIoVK+jbty9Wq/VbvXCR1mr7/mJeXf8Fg3omM35IZqDLERERkQvgddvJ448/zj//+U/PhZH79+/n3nvv9ezDPpuUlBTmzJnD1KlTcTqdTJw4kT59+jBz5kzuueceLr30UhYuXMiMGTNwOBxcccUVTJ8+nd27d7N27VqysrI8K+zJycksX77cs03lD3/4A+3atWPJkiXN0AKR1iO/qJo/5X1GR1sMd4ztqckmIiIirYzJ+Oadc87ghhtu4I033jjlsdzcXPLy8nxamC9oz3fzac17sVqTb/a5qtbBr/++GafLzQO3X0ZCTLiXr5bzpfez76nH/niP8kEAACAASURBVKE++5567B+tuc8Xvec7IiKCnTt3eo537txJZGRk81QnIufF1ehm2YpdlFc7+PHNlyp4i4iItFJet53ce++9zJo1i06dOgHw5Zdf8vjjj/u8MBFpYhgGz63ex94j5czM7UVXjRQUERFptbyG75ycHN566y0+/fRT3G43/fr1IyEhwR+1iQiwbusx1m8/znWDO3LFJbZAlyMiIiIX4azh+4033uCGG27gb3/72ymPHzp0CIA77rjDp4WJCHy6r4jn1+ynX1Z7bh7WNdDliIiIyEU6a/g+fPgwAPv27fNbMSLyNXtZLQ//YwupiVZm5vbCbNZkExERkdburOH7nnvuAeDqq68+bazgihUrfFuVSBvW6HazYftxVrz/JSaTibsn9iEy3OsOMREREWkFzvo3+rp163C5XCxZsgTDMPhqIqHL5eKJJ55gwoQJfitSpC0wDIMdX5Tw0rsHOFFSS3bHeH48uT/WUK14i4iIBIuzhu89e/bw0UcfUVJSwj/+8Y+vvyA0lNtvv90ftYm0GUcLq3lx3X52HyojJSGSu2++lH5Z7UlOjm21c05FRETkdGcN3z/60Y/40Y9+xLPPPsuUKVP8WZNIm1FR3cDr7x/k/U9PYI0I5dZR3RjZvwOhIV5H8IuIiEgr5HUj6aRJk1i9ejU1NTUANDY2cuTIEebMmePz4kSCVYOzkVUfH+Htj47ganRzzWUZ5A7NJCrCEujSRERExIe8hu85c+Zw9OhRioqK6NWrF59++imDBg3yR20iQcdtGPznMzuvbPiCsqoGBnZPYuLIrqQkWANdmoiIiPiB1/C9Z88eVq1axYMPPsgdd9yB2+3mwQcf9ENpIsFl39FyXli7n0MFVXSyxXBnbi96dNQNq0RERNoSr+E7OTmZ0NBQMjMz2bdvH9dddx1VVboATOR8FZbV8vL6L9jyeREJMeHMHN+Lyy9JwWzSFBMREZG2xmv4tlqt5OXlkZ2dzUsvvUSXLl2ora31R20irVpNvZO8Dw+xdks+oSFmbvxOZ0YP6ki4JSTQpYmIiEiAeB2p8MADD7B3716GDh2K2Wzm+9//PtOnT/dHbSKtkqvRzZrNR5n3x02s/uQoQ3rbWHTXYHKHdlbwFhERaeO8rnxnZmYyYsQITCYTDz74IJ988gnXXHONP2oTaVUMw2D7gWJeevcL7KW19OyUwHevyqJjSkygSxMREZEWwmv4Xrp0KVu3buWZZ56hvr6e5cuXs3//fn74wx/6oz6RVuFwQRUvrtvP3iPlpCZamT2xD326JmLSvm4RERH5Bq/he+3atbz++usA2Gw2/vnPf3LTTTcpfIsAZVUNvP7eQT7ceYKoSAtTrunO8H5pukmOiIiInJHX8O10OrFYvr7xh8Vi0WqetHkNjkb+/fER3v7PYdxugzGXd2T8FZ2w6iY5IiIicg5ew/eAAQOYO3cuEydOxGQysWLFCvr27euP2kRaHLdhsGlXAa+9d5CyqgZyspOZOKIryfGRgS5NREREWgGv4XvBggU8/vjjLFq0iNDQUK644gp+/OMf+6M2kRZl7+EyXlx3gMP2KjqnxjDrhkvolh4f6LJERESkFTmvOd/333+/P2oRaZHspbW89O4Btu0vpl1sOHfm9mJQL90kR0RERC7cWcP37Nmzefzxx8nNzT3j83l5eT4rSqQlqK5ruknOuq35hIaauXl4F67JySBMs7pFRETkWzpr+J46dSrQtO1EpC1xNbpZt/UYeR9+SW2Di2F905jwnS7ERYUFujQRERFp5c4avh966CFef/11/vCHP/D3v//dnzWJBIRhGGzbX8xL7x6gsKyOSzIT+O5V3UhPjg50aSIiIhIkzhq+XS4X06ZNY/fu3cyaNeu05//4xz/6tDARf6qtd/KXt/awbX8xae2j+J9Jfbm0SzuN1RQREZFmddbwvXz5cj766CO+/PJLxowZ48+aRPzqiL2Kp17fRUllPZNHZnHNZemEmHWTHBEREWl+Zw3fNpuNCRMmkJaWxqBBg/xZk4jfvP/pcf65eh/RkRZ+NmUAWR3iAl2SiIiIBDGv005+/etfn/F5TTuR1szhbOSfq/fxwY4T9MpM4M7rLyHWqgsqRURExLfOGr5nzpwJaNqJBJ/C8jqeem0nRwqrGT8kkwlXdsZs1t5uERER8b2zbmzt3bs3AIMGDSI1NZVBgwZRW1vLJ598Qs+ePf1WoEhz2ra/iF/97RNKKuuZPbEPNw3rouAtIiIifuP1qrIHHniA5cuX88UXXzB//nzy8/P5+c9/7o/aRJpNo9vNy+sP8MSrO0lOiOSXt19G36z2gS5LRERE2hivt5fftWsXr7zyCv/3f//HjTfeyNy5c7npppv8UZtIs6iocfCnN3ax90g5I/qlceuoblhCdZdKERER8T+v4dswDMxmMx9++KFn3nd9fb3PCxNpDvuOlrPsjV3U1buYPq4nQy9NDXRJIiIi0oZ5Dd8dO3Zk5syZ5Ofnc9lllzF37lx69Ojhj9pEvjXDMPj3x0d5Zf0XJMVHMHdyP92pUkRERALOa/hetGgRq1evZuDAgYSFhZGTk8OECRP8UZvIt1Jb7+Jvb+9hy74iBnZP4o6xPbFGeH2ri4iIiPic10RitVoZMGAA6enprF+/ntLSUlwulz9qE7lg+YXV/OH1nRSV1/Pdq7IYfVmGbhEvIiIiLYZPp53k5eUxduxYRo8ezbPPPnva8xs2bCA3N5fc3Fzmzp1LTU0NAFu2bGHixInccMMN3HbbbRw7dgyAyspK7rzzTq677jqmTJlCUVHRhbxWCXIbd53goX9spt7ZyH3f68+YQR0VvEVERKRF8Rq+d+3axYMPPsjq1au58cYbWbRokScMn4vdbmfp0qU899xzrFixghdffJEDBw54nq+srGTevHksXbqUvLw8srOzWbp0KQD33nsvDz30EG+88Qa5ubk89NBDADz22GPk5OSwcuVKJk2axG9+85tv+7oliDhdjfzjnb38+c09dEmL5cHbL6N7RnygyxIRERE5jdfw/c1pJ4MHDwbOb9rJxo0bGTx4MPHx8VitVsaMGcM777zjef7QoUOkpaWRlZUFwMiRI1mzZg0Oh4PZs2eTnZ0NQI8ePThx4gQA69evJzc3F4Dx48fz3nvv4XQ6L/AlSzApLq/jt//cyvrtx7lucEfm3tKPuOjwQJclIiIickZew/c3p50MGjTovKedFBYWkpSU5DlOTk7Gbrd7jjMzMykoKGDv3r0ArFy5kuLiYsLCwrjhhhsAcLvdPPnkk4waNeq0c4aGhhIdHU1paekFvFwJJju+KOZXT39CYVkdd998KZNGZBFi9vqWFhEREQmYC5p2YrFYyMnJ4cYbb/R6Yrfbfcp+W8MwTjmOjY1l8eLFLFiwALfbzeTJk7FYLJ7nHQ4H8+bNw+Vycdddd53xe3y1Kn++EhM1aq45JSXFBOT7NroNnv/3Xl5cs48uaXHMu+0yUttHBaQWfwhUn9sa9dn31GP/UJ99Tz32j2Dt83lNOxk+fDh1dXUcP36cK6+8ki1btjB06NBzfp3NZmPz5s2e46KiIpKTkz3HjY2N2Gw2Xn75ZQB27NhBRkYGADU1NfzgBz8gPj6eZcuWeUJ5cnIyxcXF2Gw2XC4XNTU1xMef/97ekpJq3G7jvD9fzi4pKYaioiq/f9/KWgf/96/P2H2ojO/0SWXKNd0JNdwBqcUfAtXntkZ99j312D/UZ99Tj/2jNffZbDadc8HX67Lx448/ztChQxk1ahTXXnsto0eP5uGHH/b6jYcMGcKmTZsoLS2lrq6OVatWMWzYMM/zJpOJadOmYbfbMQyDp59+mrFjxwJNF1x26tSJxx57jLCwMM/XDB8+nBUrVgDw9ttvk5OTc8pquQS3A8cq+NXfPmF/fgV3XJfNHWN7EmbRbeJFRESk9fC68v3GG2/w7rvv8vDDD3Pffffx0UcfsWHDBq8nTklJYc6cOUydOhWn08nEiRPp06cPM2fO5J577uHSSy9l4cKFzJgxA4fDwRVXXMH06dPZvXs3a9euJSsry7O9JTk5meXLlzN79mzmzZvHuHHjiImJ4ZFHHrn4DkiLZxgGa7bk89K6A7SLDefn/28gnWzB+aMoERERCW4mwzDOuQ9j4sSJvPLKKzz55JP07t2bESNGMG7cON566y1/1dhstO2k+fjrx0F1DS6eXrmXT/YW0i+rPTPG98Qa0XZ+2tGaf+zWmqjPvqce+4f67HvqsX+05j5723bideU7NDSUI0eO0KVLFzZv3syVV15JQ0NDsxYpcibHiqr5w+u7sJfVMnFEV669vCNm3TRHREREWjGve77vuusuFixYwIgRI1i1ahUjRozg8ssv90dt0oZ99FkBv/7HZmobXNx7S3/GDu6k4C0iIiKtnteV75EjRzJy5Eigaf/34cOHPTfAEWluTpebF9ftZ93WY3RLj2PWDb1JiNFNc0RERCQ4nDV8f3VL97OZP39+sxcjbVtJRT1PrdjFlycqGTMog5uHdyU0RDfNERERkeBx1vB9IfOzRS7WroMl/F/eblyNbn44oTc52cnev0hERESklTlr+P7xj38MgNPpZOXKlVx//fUUFRXx1ltvMXXqVL8VKMHNbRjkfXiIf33wJR2SovjhjZdia2cNdFkiIiIiPuF1z/fChQupqanh+uuvx2w2s2XLFvLz87XtRC5aXYOLZSt2sevLUob0tvH9MT0I101zREREJIh5Dd/btm3jzTffBCAxMZHHH3+cG264weeFSfBb+Z/DfPZlKVOv7cHwvmmYNM1EREREgpzXq9mcTicOh8Nz7HK5fFqQtA1OVyPrtx2nX7f2jOjXQcFbRERE2gSvK98jRoxg+vTp3HDDDZhMJt58802GDx/uj9okiP1ndyHVdU5G5WQEuhQRERERv/Eavu+77z6effZZ1q5dS2hoKNdccw233HKLP2qTIGUYBmu2HKVDUhTZHTVVR0RERNoOr+E7JCSEqVOnasKJNJv9+RUcsVcz9doe2m4iIiIibYruYCJ+t2ZLPlERoVzRyxboUkRERET8SuFb/Kq0sp6tnxfxnb5phIdprKCIiIi0LV7Dt91uP+2xAwcO+KQYCX7vbjuGgcFV/TsEuhQRERERvztr+C4vL6e8vJyZM2dSUVHhOS4uLvbc/VLkQjicjWzYfpz+3ZJoHx8Z6HJERERE/O6sF1zOnTuXDz/8EIDLL7/c83hISAjXXnut7yuToPOfPfam8YID0wNdioiIiEhAnDV8/+UvfwHg/vvvZ9GiRX4rSIKTYRis3ZxPelIUPTReUERERNoor3u+Z8+ezYMPPgjAwYMH+eEPf0hxcbGv65Igsz+/giOF1Vw9MF3jBUVERKTN8hq+582bR5cuXQDo0KEDgwYN4v777/d5YRJc1mw+SlREKIMv0XhBERERabu8hu+ysjLPDXbCw8O5/fbbKSoq8nlhEjxKKurZuq+YYX3TCLdovKCIiIi0XV7Dd2Nj4ynjBouLizEMw6dFSXD5arzgyAEaLygiIiJtm9fby99+++1MmDCB73znO5hMJjZu3Mh9993nj9okCDSNFzzGgG5JtI/TeEERERFp27yG74kTJ9K7d28++ugjQkJCmD59Ot27d/dHbRIEPtptp6bexagcjRcUEREROa/byzscDiIiIvjud79LTU2Nr2uSIGEYBmu35JOeFE33DI0XFBEREfEavl977TXuv/9+/vznP1NVVcUPf/hDXnrpJX/UJq3cvqPlHC2sZlSOxguKiIiIwHmE72eeeYYXX3yR6OhoEhMTee211/j73//uj9qklVuzJb9pvGCvlECXIiIiItIieA3fZrOZ6Ohoz3FqaiohIRoXJ+fWNF6wiGH90gjTeEERERER4DzCd3x8PHv27PFsG/jXv/5FXFyczwuT1m3dtnwAruqvCy1FREREvuJ12snPf/5zZs+ezZEjR7jyyisJDw/nqaee8kdt0ko1OBt5b/txBnRPIjEuItDliIiIiLQYXsN3fX09b7zxBocOHaKxsZHOnTtjsVj8UZu0Uv/5arzgQK16i4iIiHyT120nP/3pTwkJCaFr1650795dwVvOyTAM1mw+SkayxguKiIiI/Dev4btHjx7k5eVx/PhxysvLPb9EzmTf0XLyi2oYNVDjBUVERET+m9dtJ2vXruWdd9455TGTycSePXt8VpS0Xms25xMdaeFyjRcUEREROY3X8P3888/Tu3dvf9QirVxxRR1b9xcxdnAnjRcUEREROQOv207uvfdef9QhQeDdrccwYWJk/w6BLkVERESkRdKeb2kWDc5G3vv0OAO6t6ddrMYLioiIiJyJT/d85+XlsWzZMlwuF7fddhtTpkw55fkNGzbwyCOPANC9e3cWLlxIVFSU5/nHHnuMkJAQ7r77bgA+/vhj7r77bmw2GwC9evVi0aJFXusQ3/vos4Km8YI5GYEuRURERKTF8hq+d+7c+a1ObLfbWbp0Ka+99hphYWHccsstXH755WRlZQFQWVnJvHnzeOaZZ8jKymL58uUsXbqU+fPnU1VVxaJFi3jrrbeYMWOG55y7du1i2rRp3HXXXd+qJvENwzBYsyWfjsnRdEvX3U9FREREzsbrthO3283y5cv5/ve/z6233sqTTz6Jy+XyeuKNGzcyePBg4uPjsVqtjBkz5pQV9EOHDpGWluYJ4yNHjmTNmjVA02p7ZmYmd9xxxynn3LlzJx988AG5ubnMmjWLEydOXNCLFd/Ye6ScY0U1XJ2j8YIiIiIi5+I1fD/66KN89NFH3Hbbbdxxxx1s27aNxYsXez1xYWEhSUlJnuPk5GTsdrvnODMzk4KCAvbu3QvAypUrKS4uBmDChAnceeedhIScOjEjJiaG73//++Tl5TF8+HDmzJlzfq9SfGrtlqbxgoM1XlBERETknLxuO3n//fd59dVXPXe2HDFiBNdff73XE7vd7lNWQQ3DOOU4NjaWxYsXs2DBAtxuN5MnT/Z698yFCxd6fn/rrbfy6KOPUlVVRUxMjNd6ABITo8/r8+T8JCXFYC+tZfv+Im6+qhtpqbqjpS8kJZ3f+1sujvrse+qxf6jPvqce+0ew9tlr+DYM45RQHBYWdl63mLfZbGzevNlzXFRURHJysue4sbERm83Gyy+/DMCOHTvIyDj7xXput5s//elPp62I//fq+LmUlFTjdhvn/flydklJMRQVVfHKuwcAE5f3SKKoqCrQZQWdr/osvqU++5567B/qs++px/7RmvtsNpvOueDrddtJdnY2v/3tbzly5AhHjx5l0aJFdO/e3es3HjJkCJs2baK0tJS6ujpWrVrFsGHDPM+bTCamTZuG3W7HMAyefvppxo4de44XYmb16tX8+9//BmDFihX07dsXq9XqtRbxjQZHI+9tP86AHkkaLygiIiJyHryG71/+8pdUVlZyyy23MGnSJEpLS1mwYIHXE6ekpDBnzhymTp3KhAkTGD9+PH369GHmzJns3LkTs9nMwoULmTFjBtdeey2xsbFMnz79nOdcvHgx//jHPxg3bhyvvvoqDz300Pm/Uml2m3YXUNvgYtTA9ECXIiIiItIqmAzDOO99GA0NDYSHh/uyHp/StpPm0759ND94eC0hISZ+eftlmnLiI635x26tifrse+qxf6jPvqce+0dr7vO33nbicDj42c9+xurVqz2P3XPPPdx///3nNWpQgtuOA8UcK65h1MAMBW8RERGR83TW8P373/+e6upqBgwY4Hls4cKFVFRU8MQTT/ilOGm58t4/SHSkhct7JXv/ZBEREREBzhG+169fz6OPPkpiYqLnsZSUFJYsWeK5GY60TUXldXy8u4AR/dOwhJ7/tBkRERGRtu6s4dtisRARcfoEi+joaMLCwnxalLRs7249hslkYmR/XWgpIiIiciHOGr7NZjPV1dWnPV5dXa09321Yg6OR9z49ztA+aSTEtN6Lb0VEREQC4azhe/z48cyfP5/a2lrPY7W1tcyfP5/Ro0f7pThpeTZ91jRecPyVnQNdioiIiEirc9bwfdtttxETE8PQoUOZPHkyEydOZOjQocTGxvKjH/3InzVKC2EYBmu25NMpJYaeme0CXY6IiIhIq3PW28ubzWZ+/etfM2vWLD777DPMZjN9+vQ55Rbx0rbsOVzG8eIapo/rqfGCIiIiIt/CWcP3Vzp06ECHDh38UYu0cGs25xNjtTCop/4BJiIiIvJteL29vAhAYXkdnx4oZni/DhovKCIiIvItKXzLeVm3JR+z2cTI/vopiIiIiMi3pfAtXtU7XLy/4wQDeyRpvKCIiIjIRVD4Fq82fWanrsHFqJyMQJciIiIi0qopfMs5GYbBms1HybTF0DUtNtDliIiIiLRqCt9yTrsPl3GipJarB6ZrvKCIiIjIRVL4lnNauzmfWKuFQT1TAl2KiIiISKun8C1nVVhW+43xgnqriIiIiFwsJSo5q3Vbj2E2mxih8YIiIiIizULhW86oabzgcXKykzVeUERERKSZKHzLGW3aVUBdQyOjBqYHuhQRERGRoKHwLacxDIM1W/LpnBpDF40XFBEREWk2Ct9ymt2HmsYLjhqYofGCIiIiIs1I4VtOs2bzUWKtFnKykwNdioiIiEhQUfiWU9jLatnxRQkj+mu8oIiIiEhzU7qSU6zbovGCIiIiIr6i8C0edQ0uPth5nMuyk4mP1nhBERERkeam8C0eG0+OF7w6R+MFRURERHxB4VsAcBsG67bm0zk1lq5pcYEuR0RERCQoKXwLALsPlTaNF9Sqt4iIiIjPKHwLAGs25xMXFcZlGi8oIiIi4jMK34K9tGm84PB+aYSG6C0hIiIi4itKWsLarfmEaLygiIiIiM8pfLdxdQ0uPthxgst6arygiIiIiK8pfLdxG3cVUO9oZNTAjECXIiIiIhL0FL7bMLdhsGZLPl3SYumSFhvockRERESCnsJ3G/bZl6XYS2sZNVDjBUVERET8QeG7DVu7pWm8YI7GC4qIiIj4hU/Dd15eHmPHjmX06NE8++yzpz2/YcMGcnNzyc3NZe7cudTU1Jzy/GOPPcYTTzzhOa6srOTOO+/kuuuuY8qUKRQVFfmy/KD21XjBkf07aLygiIiIiJ/4LHXZ7XaWLl3Kc889x4oVK3jxxRc5cOCA5/nKykrmzZvH0qVLycvLIzs7m6VLlwJQVVXFz3/+c/72t7+dcs7HHnuMnJwcVq5cyaRJk/jNb37jq/KD3totTeMFh2u8oIiIiIjf+Cx8b9y4kcGDBxMfH4/VamXMmDG88847nucPHTpEWloaWVlZAIwcOZI1a9YAsHbtWjIzM7njjjtOOef69evJzc0FYPz48bz33ns4nU5fvYSgVdfg4oOdJxjUM5m4qLBAlyMiIiLSZvgsfBcWFpKUlOQ5Tk5Oxm63e44zMzMpKChg7969AKxcuZLi4mIAJkyYwJ133klISMhZzxkaGkp0dDSlpaW+eglB68OdJ5rGC+ZovKCIiIiIP4X66sRutxuTyeQ5NgzjlOPY2FgWL17MggULcLvdTJ48GYvFckHfwzAMzObz//dDYmL0BZ0/GLndBuu3H6dHpwQG9bm4LSdJSTHNVJWci/rsH+qz76nH/qE++5567B/B2mefhW+bzcbmzZs9x0VFRSQnfz1Vo7GxEZvNxssvvwzAjh07yMg490pscnIyxcXF2Gw2XC4XNTU1xMfHn3dNJSXVuN3GBb6S4LLjixKOF9dw55BOFBVVfevzJCXFXNTXy/lRn/1DffY99dg/1GffU4/9ozX32Ww2nXPB12fbToYMGcKmTZsoLS2lrq6OVatWMWzYMM/zJpOJadOmYbfbMQyDp59+mrFjx57znMOHD2fFihUAvP322+Tk5Fzwanlbt2bLUeKiw8jpofGCIiIiIv7ms/CdkpLCnDlzmDp1KhMmTGD8+PH06dOHmTNnsnPnTsxmMwsXLmTGjBlce+21xMbGMn369HOec/bs2Wzfvp1x48bx3HPP8cADD/iq/KB0qKCSXQdLNV5QREREJEBMhmG0mX0YbXnbicPZyK+e/oR6RyMLpw8iKuLifmLQmn8c1Jqoz/6hPvueeuwf6rPvqcf+0Zr7HLBtJ9KyvLrhICdKapk2tudFB28RERER+XYUvtuA3YdKWb35KFcPSOeSzu0CXY6IiIhIm6XwHeRq65385a092NpZmTiya6DLEREREWnTFL6D3LOr91FR7WBmbi/CLSHev0BEREREfEbhO4ht3lvIps/s5A7NpHNqbKDLEREREWnzFL6DVHl1A39/Zy+dU2MYd0WnQJcjIiIiIih8ByXDMPjb23txutzMGN9LM71FREREWgilsiC0fvtxdh4sYdLILFITowJdjoiIiIicpPAdZOyltby4bj+XZCYwckCHQJcjIiIiIt+g8B1EGt1u/vzmbiwhZqaN64XZZAp0SSIiIiLyDQrfQeTtj47wxfFK/t/oHiTEhAe6HBERERH5LwrfQeJQQSX/+uBLBvVM5vJeKYEuR0RERETOQOE7CDicjSzP202M1cL/G90j0OWIiIiIyFkofAeBVzcc5ERJLdPG9SQ60hLockRERETkLBS+W7k9h0pZvfkoVw9Ip3fnxECXIyIiIiLnoPDditXWO/nL23uwtbMycWTXQJcjIiIiIl4ofLdiz67eR3mVg5m5vQi3hAS6HBERERHxQuG7ldq8t5BNn9kZP6QTnVNjA12OiIiIiJwHhe9WqLy6gb+/s5dMWwzjh2QGuhwREREROU8K362MYRj87e29OF1uZub2IjRE/wlFREREWgslt1Zm/fbj7DxYwqSRWaQmRgW6HBERERG5AArfrYi9tJYX1+3nkswERg7oEOhy/n979x4VZZ3Hcfw9XBQRLGlBTCnLzEsdL2krFEeTVkGYEdTa1UxTvKRZZzU1tctS2GaiLe6u1rbV0TqRiLZ44ZePKAAAFF1JREFUC8lLK7sqrqJrXlJzvRsEKoYgAuPMs390mg1RU2OeAffz+svf85vfw3e+8zvjh+GZGRERERG5Tgrf9YTD6eT9VV/h4+VFYlwHvCwWT5ckIiIiItdJ4bueyNpynEP553gy+l6aBjb0dDkiIiIicgMUvuuBY9+WsmLjEX7ZPoTwDqGeLkdEREREbpDCdx1XZXfw15V7CfT35ck+bT1djoiIiIj8DArfddynOYcpOFNOYlx7Ahr5erocEREREfkZFL7rsH1Hi1mbd4KoB1pw/123ebocEREREfmZFL7rqPIKOx9k7aNZkD+P97rH0+WIiIiISC1Q+K6j0tZ+zXelVYy2dqChr7enyxERERGRWqDwXQfl7S8id28h1ofu5O7bm3i6HBERERGpJQrfdcx3ZZV8mL2fVqGBWB9q5elyRERERKQWKXzXIYZhsCBrP1UXnYy2dcDHWw+PiIiIyM1E6a4OydmZz+7DZ3j8kdY0v62xp8sRERERkVqm8F1HFBaXk/7FQe5r1ZSori09XY6IiIiIuIHCdx3gcDp5f9VX+Hh5kRjXAS+LxdMliYiIiIgbKHzXAVlbjnMo/xxPRt9L08CGni5HRERERNzEreF75cqVxMbG0qdPH9LS0mrM5+TkYLPZsNlsTJo0ifPnzwOQn5/PkCFDiImJYdy4ca7jW7dupXv37sTHxxMfH8/06dPdWb4pjn1byoqNR/hl+xDCO4R6uhwRERERcSO3he/CwkJSU1P55JNPWLZsGYsXL+Y///mPa/7cuXNMmzaN1NRUVq5cSbt27UhNTQXgtdde44knniA7O5v777+ft99+G4A9e/aQmJjI8uXLWb58OTNnznRX+aaosjv468q9BPr78mSftp4uR0RERETczG3he/PmzYSHh3Prrbfi7+9PdHQ02dnZrvmjR49y++23c8893391eq9evVi3bh12u51t27YRHR0NwIABA1zrdu/ezcaNG7HZbIwdO5aCggJ3lW+KT3MOU3CmnMTY9gQ08vV0OSIiIiLiZm4L30VFRQQHB7vGISEhFBYWusatWrXi22+/Zf/+/QCsXr2a06dPc/bsWQICAvDx8QEgODjYtS4wMJChQ4eycuVKevbsycSJE91VvtvtO1rM2rwTRD3Qgvvvvs3T5YiIiIiICXzcdWKn04nlR5/aYRhGtXGTJk2YNWsWr7zyCk6nk1//+tf4+vrWuB3gGicnJ7uODR48mLfeeovS0lICAwOvqabbbgv4OXep1pRdsLMg+wAtghsz7vHO+DVw28PgVsHB19Z3+XnUZ3Ooz+6nHptDfXY/9dgcN2uf3Zb6QkNDycvLc41PnTpFSEiIa+xwOAgNDWXJkiUA7Nq1i7CwMIKCgigtLcXhcODt7e1a53Q6effddxkzZgze3t6u8/z43z/lzJkynE6jFu7dz/Peyq8oLqngxaFdKS25QKmnC7oBwcGBnDpVHyuvX9Rnc6jP7qcem0N9dj/12Bz1uc9eXparvuDrtstOHnroIXJzcykuLubChQusWbOGHj16uOYtFguJiYkUFhZiGAYLFy4kNjYWX19funXrRlZWFgDLli2jR48eeHl5sXbtWj7//HPX8U6dOuHv7++uu+AWefuLyN37LdaH7uTu25t4uhwRERERMZHbwnezZs2YOHEiw4YNIyEhAavVSseOHRk9ejS7d+/Gy8uL5ORkRo0aRUxMDE2aNGHkyJEAJCUlkZGRQWxsLHl5eUyYMAGAWbNm8dFHHxEXF8enn37K66+/7q7y3eK7sko+zN5Pq9BArA+18nQ5IiIiImIyi2EYnr8OwySevOzEMAzmLtnF/uNneXXEgzS/rbFH6qgt9fnPQfWJ+mwO9dn91GNzqM/upx6boz732WOXnUh1OTvz2X34DI8/0rreB28RERERuTEK3yYoLC4n/YuDdGjVlKiuLT1djoiIiIh4iMK3mzmcTt5f9RU+Xl4kxrbH65KPURQRERGR/x8K326WteU4h/LP8WT0vQQ18fN0OSIiIiLiQQrfbrZxVz6/bB9CeIdQT5ciIiIiIh5WP79asR55aVg3Ahr5eroMEREREakDFL7drIl/A0+XICIiIiJ1hC47ERERERExicK3iIiIiIhJFL5FREREREyi8C0iIiIiYhKFbxERERERkyh8i4iIiIiYROFbRERERMQkCt8iIiIiIiZR+BYRERERMYnCt4iIiIiISRS+RURERERM4uPpAszk5WXxdAk3FfXTHOqzOdRn91OPzaE+u596bI762uefqttiGIZhUi0iIiIiIv/XdNmJiIiIiIhJFL5FREREREyi8C0iIiIiYhKFbxERERERkyh8i4iIiIiYROFbRERERMQkCt8iIiIiIiZR+BYRERERMYnCt4iIiIiISRS+5armzZtHXFwccXFxpKSkXHa+V69exMfHEx8fT1pamgeqrP+GDh1KXFycq49ffvlltfl9+/YxYMAAoqOjeemll7h48aKHKq2flixZ4uptfHw8Xbt2JTk5udpttJdvXFlZGVarlZMnTwKwefNmbDYbffr0ITU19bJr8vPzGTJkCDExMYwbN47z58+bWXK9dGmfFy9ejNVqxWazMX36dKqqqmqsyczMJDIy0rWvr/R4yP9c2ufp06fTp08fVw/Xrl1bY4328/X5cY9zcnKqPT+Hh4fz9NNP11hzU+1lQ+QKNm3aZPzmN78xKisrjaqqKmPYsGHGmjVrqt3m6aefNnbs2OGhCm8OTqfTiIyMNOx2+xVvExcXZ/z73/82DMMwpk+fbqSlpZlV3k3n66+/Nnr37m2cOXOm2nHt5Ruzc+dOw2q1Gvfdd59x4sQJ48KFC0bPnj2N48ePG3a73UhMTDQ2bNhQY92YMWOMVatWGYZhGPPmzTNSUlLMLr1eubTPhw8fNnr37m2UlpYaTqfTeOGFF4wFCxbUWJecnGysXLnS/ILrqUv7bBiGYbVajcLCwquu036+dpfr8Q+KioqMRx991Dhy5EiNdTfTXtYr33JFwcHBTJs2jQYNGuDr60vr1q3Jz8+vdps9e/bw7rvvYrPZSE5OprKy0kPV1l+HDx8GIDExkX79+vHxxx9Xm//mm2+oqKigc+fOAAwYMIDs7GzT67xZvPrqq0ycOJGgoKBqx7WXb0xGRgZJSUmEhIQAsGvXLu68807CwsLw8fHBZrPV2K92u51t27YRHR0NaE9fi0v73KBBA5KSkggICMBisXDvvffWeH4G2L17N5mZmdhsNiZPnkxJSYnZpdcrl/b5woUL5Ofn8+KLL2Kz2fjTn/6E0+mstkb7+fpc2uMfS0lJYdCgQbRq1arG3M20lxW+5YratGnjCnxHjx5l9erV9OzZ0zV//vx52rdvz5QpU8jMzOTcuXO8/fbbniq33jp37hwRERHMnz+fhQsXkp6ezqZNm1zzRUVFBAcHu8bBwcEUFhZ6otR6b/PmzVRUVNC3b99qx7WXb9zvf/97unXr5hpful9DQkJq7NezZ88SEBCAj48PoD19LS7tc4sWLXj44YcBKC4uJi0tjUcffbTGuuDgYJ555hlWrFhB8+bNa1xuJdVd2ufTp08THh7OG2+8QUZGBnl5eSxdurTaGu3n63Npj39w9OhRtm7dyrBhwy677mbaywrf8pMOHjxIYmIiL7zwQrXfRhs3bsx7771H69at8fHxITExkZycHM8VWk916dKFlJQUAgMDCQoK4rHHHqvWR6fTicVicY0Nw6g2lmuXnp7OiBEjahzXXq4917JfL3dMe/rGFBYW8tRTTzFw4EC6d+9eY37+/Pl07doVi8XCqFGj+Oc//+mBKuuvsLAw5s+fT0hICI0aNWLo0KE1nhu0n2vH4sWLeeKJJ2jQoMFl52+mvazwLVe1fft2hg8fzqRJk+jfv3+1ufz8/GqvABiG4frNX65dXl4eubm5rvGlfQwNDeXUqVOu8enTpy/75zq5uqqqKrZt20ZUVFSNOe3l2nPpfj116lSN/RoUFERpaSkOh+OKt5GfdujQIQYNGkT//v0ZP358jfnS0lIWLlzoGhuGgbe3t4kV1n8HDhzg888/d40v99yg/Vw71q9fT2xs7GXnbra9rPAtV1RQUMD48eOZM2cOcXFxNeb9/PyYPXs2J06cwDAM0tLS6N27twcqrd9KS0tJSUmhsrKSsrIyMjMzq/WxRYsWNGzYkO3btwOwfPlyevTo4aly660DBw7QqlUr/P39a8xpL9eeTp06ceTIEY4dO4bD4WDVqlU19quvry/dunUjKysLgGXLlmlPX6eysjJGjhzJb3/7WxITEy97G39/f95//33Xpyd9/PHH2tfXyTAM3njjDUpKSrDb7SxevLhGD7Wff77i4mIqKioICwu77PzNtpcVvuWKPvjgAyorK3nzzTddH+2zaNEiRo8eze7duwkKCiI5OZlx48YRExODYRiX/ZO+XF2vXr3o2bMnCQkJDBw4kIEDB9KlSxdXnwHmzJnDzJkziYmJoby8/IrXxMmVnThxgtDQ0GrHtJdrX8OGDXnzzTd57rnniI2N5e677yYmJgaAl156ifXr1wOQlJRERkYGsbGx5OXlMWHCBE+WXe8sXbqU06dPs2DBAtfz8x//+Efgf3329vZm7ty5vPrqq/Tt25e9e/cyZcoUD1dev7Rr144xY8YwePBg4uLiaN++PVarFdB+rk0nT56s8fwMN+9ethiGYXi6CBERERGR/wd65VtERERExCQK3yIiIiIiJlH4FhERERExicK3iIiIiIhJFL5FREREREyi8C0iUstOnjxJ27ZtWbJkSbXjH3zwAdOmTau1nxMVFeX6OEp3KysrY9CgQcTFxbFmzZpqc/v27eNXv/oVAwYM4OTJkzd0/nnz5rFu3braKFVEpE5T+BYRcQMvLy9mzZrF4cOHPV1Krdi3bx9nzpzhs88+o0+fPtXm1q9fT/fu3fnb3/5Gy5Ytb+j8//rXv7h48WJtlCoiUqfp+5NFRNzAz8+PESNGMHnyZNLT02nQoEG1+WnTptGmTRtGjhxZYxwVFYXVamXLli2UlJQwatQoduzYwd69e/Hx8eGdd96hWbNmAHzyySfs37+fqqoqRowYwWOPPQbAF198wTvvvIPdbsfPz4+pU6fSpUsX/vznP7Nz506Kiopo27Ytc+bMqVbXunXrmDdvHk6nk8aNGzN9+nQCAgJ48cUXKSwsJD4+nsWLF+Pn5wfAihUrWLRoEQ6Hg4qKCt566y2WLFnCokWLcDqd3Hrrrbzyyiu0bt2aI0eOkJyczPnz5zl16hTt2rVj7ty5LF26lD179pCSkoK3tzfr16+/am86duzIgQMHeP755+nYsSPJyckUFBRgt9uJi4tj7NixXLx4kRkzZrBjxw58fX1p2bIlM2fOpHHjxm593EVEforCt4iIm4wbN47c3FxSU1OZOnXqda2trKwkIyODrKwsJk2aRGZmJu3atWP8+PFkZmYyduxY4PtvlMzMzKSwsJD+/fvTqVMnfH19SU1N5aOPPqJp06YcPHiQESNGuC4X+eabb1i1ahU+PtX/Czh06BBJSUmkp6cTFhZGbm4uzzzzDNnZ2bz++uvMmDGD5cuXV1vTr18/jh07xtmzZ/nd737H1q1bWbZsGWlpaTRq1IiNGzfy7LPPsnr1ajIyMkhISCA+Ph673c6AAQPYsGEDQ4YMITs7myFDhtC7d2/XtwZeSZs2bZg7dy4Aw4YNY/jw4URFRVFZWcno0aO54447CAkJYevWrWRlZWGxWJg9ezYHDhzggQceuK7HQUSktil8i4i4iZeXF7NnzyYhIYHIyMjrWvvDpR1hYWH84he/oF27dgDccccdlJSUuG43aNAgAJo1a8bDDz9Mbm4u3t7eFBUVMXz4cNftLBYLx48fB6Bz5841gjfAli1bCA8PJywsDICIiAiCgoLYs2cPFovlmuresGEDx44dc9UFcO7cOb777jumTJnCpk2beO+99zh69ChFRUWUl5dfR1e+161bNwDKy8vZtm0bJSUlrq9WLy8vZ//+/URGRuLt7c3jjz9OZGQk0dHRdOzY8bp/lohIbVP4FhFxo+bNm/Paa68xdepUEhISXMctFguGYbjGdru92rofX6bi6+t7xfN7ef3vrTtOpxMfHx8cDgcRERGuV4cBCgoKCAkJYe3atfj7+1/2XE6ns0bINgyDixcvXrWGS88RHx/PlClTXOOioiJuueUWJk6ciMPhoG/fvjzyyCMUFBRU68EPfqo3P9TvdDoxDIP09HQaNWoEQHFxMQ0bNqRx48YsX76cHTt2sGXLFiZMmMDIkSMZMmTINd0PERF30RsuRUTcLCYmhh49evDhhx+6jjVt2pQ9e/YAUFhYyNatW2/o3JmZmQDk5+eTm5tLREQEERERbNq0iUOHDgGQk5NDv379qKiouOq5IiIi2LhxIydOnAAgNzeXgoICOnXqdM31REZG8tlnn1FUVATAokWLeOqppwDYuHEj48ePJzY2FoAvv/wSh8MBgLe3t+sNl9fam4CAADp37syCBQuA719hHzx4MOvXr+fvf/87w4cPp0uXLjz33HMkJCS4ziki4kl65VtExAQvv/wy27dvd42HDh3K5MmTiY6OpmXLloSHh9/QeSsrK+nfvz92u52XX36Zu+66C4Dk5GSef/55DMNwvUnzp95seM8995CUlMSzzz6Lw+HAz8+Pv/zlLwQGBl5zPZGRkYwePZrExEQsFgsBAQHMmzcPi8XCxIkTGT9+PP7+/gQEBPDggw+6LoWJioriD3/4A3a7/bp6M2fOHGbMmIHNZqOqqgqr1Uq/fv1wOBz84x//wGq14u/vzy233MKMGTOu+X6IiLiLxbjc3/xERERERKTW6bITERERERGTKHyLiIiIiJhE4VtERERExCQK3yIiIiIiJlH4FhERERExicK3iIiIiIhJFL5FREREREyi8C0iIiIiYpL/AmZpLiA51vMbAAAAAElFTkSuQmCC
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<div class="prompt input_prompt">In&nbsp;[13]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rfecv_rf</span> <span class="o">=</span> <span class="n">RFECV</span><span class="p">(</span><span class="n">estimator</span><span class="o">=</span><span class="n">clf_rf</span><span class="p">,</span> <span class="n">cv</span><span class="o">=</span><span class="n">StratifiedKFold</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
                 <span class="n">scoring</span><span class="o">=</span><span class="s1">&#39;f1_macro&#39;</span><span class="p">,</span> <span class="n">min_features_to_select</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span> <span class="n">verbose</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_jobs</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span>
<span class="n">rfecv_rf</span> <span class="o">=</span> <span class="n">rfecv_rf</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train_encode_o</span><span class="p">,</span> <span class="n">y_train_encode_o</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Optimal number of features :&#39;</span><span class="p">,</span> <span class="n">rfecv_rf</span><span class="o">.</span><span class="n">n_features_</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Best features :&#39;</span><span class="p">,</span> <span class="n">newdf</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">rfecv_rf</span><span class="o">.</span><span class="n">support_</span><span class="p">])</span>
</pre></div>

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<pre>Optimal number of features : 24
Best features : Index([&#39;bayes.agn.EBV&#39;, &#39;bayes.agn.fracAGN&#39;, &#39;bayes.agn.i&#39;,
       &#39;bayes.attenuation.E_BVs&#39;, &#39;bayes.attenuation.powerlaw_slope&#39;,
       &#39;bayes.dust.alpha&#39;, &#39;bayes.sfh.age&#39;, &#39;bayes.sfh.age_main&#39;,
       &#39;bayes.sfh.tau_main&#39;, &#39;bayes.stellar.age_m_star&#39;,
       &#39;bayes.agn.accretion_power&#39;, &#39;bayes.agn.disk_luminosity&#39;,
       &#39;bayes.agn.dust_luminosity&#39;, &#39;bayes.agn.intrin_Lnu_2500A&#39;,
       &#39;bayes.agn.luminosity&#39;, &#39;bayes.dust.luminosity&#39;, &#39;bayes.sfh.integrated&#39;,
       &#39;bayes.sfh.sfr&#39;, &#39;bayes.sfh.sfr100Myrs&#39;, &#39;bayes.sfh.sfr10Myrs&#39;,
       &#39;bayes.stellar.lum&#39;, &#39;bayes.stellar.lum_ly&#39;, &#39;bayes.stellar.m_gas&#39;,
       &#39;bayes.stellar.m_star&#39;],
      dtype=&#39;object&#39;)
</pre>
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<p>Here the number of correct classifications also increasing with the number of features</p>

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<div class="prompt input_prompt">In&nbsp;[14]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">6</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="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">rfecv_rf</span><span class="o">.</span><span class="n">grid_scores_</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span>
         <span class="n">rfecv_rf</span><span class="o">.</span><span class="n">grid_scores_</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">&#39;Number of features&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Correct classifications&#39;</span><span class="p">)</span>
</pre></div>

    </div>
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    <div class="prompt output_prompt">Out[14]:</div>


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<pre>Text(0, 0.5, &#39;Correct classifications&#39;)</pre>
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<p>We can verify the mean feature importance to select the most important physical parameters.</p>

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<div class="prompt input_prompt">In&nbsp;[15]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">XGBFI</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">rfecv_xg</span><span class="o">.</span><span class="n">estimator_</span><span class="o">.</span><span class="n">feature_importances_</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;XGB&#39;</span><span class="p">,</span>
                  <span class="n">index</span><span class="o">=</span><span class="n">newdf</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">rfecv_xg</span><span class="o">.</span><span class="n">support_</span><span class="p">]</span><span class="o">.</span><span class="n">array</span><span class="p">)</span>
<span class="n">RFFI</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">rfecv_rf</span><span class="o">.</span><span class="n">estimator_</span><span class="o">.</span><span class="n">feature_importances_</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">&#39;RandomForest&#39;</span><span class="p">,</span>
                 <span class="n">index</span><span class="o">=</span><span class="n">newdf</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="n">rfecv_rf</span><span class="o">.</span><span class="n">support_</span><span class="p">]</span><span class="o">.</span><span class="n">array</span><span class="p">)</span>
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<p>This shows there are 2 features that contributes the most (&gt;10%:AGN disc luminosity and viewing angle), 3 that contribute a considerable amount (5-7%: AGN E(B-V), attenuration E(B-V)s and $\tau_{main}$) and finally the parameters where the contribution is almost negligible (&lt;3%).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">feat_imp</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">RFFI</span><span class="p">,</span> <span class="n">XGBFI</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">feat_imp</span><span class="p">[</span><span class="s1">&#39;mean&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">feat_imp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">skipna</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">feat_imp</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">))</span>
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<pre>                                  RandomForest       XGB      mean
bayes.agn.disk_luminosity             0.139312  0.356899  0.248105
bayes.agn.i                           0.163202  0.089547  0.126375
bayes.attenuation.E_BVs               0.063249  0.065587  0.064418
bayes.sfh.tau_main                    0.054093  0.058467  0.056280
bayes.agn.EBV                         0.070796  0.037295  0.054045
bayes.agn.luminosity                  0.042670  0.027139  0.034904
bayes.agn.dust_luminosity             0.034915  0.027610  0.031262
bayes.stellar.age_m_star              0.026310  0.030723  0.028516
bayes.agn.fracAGN                     0.025919  0.030258  0.028089
bayes.sfh.sfr                         0.031671  0.023705  0.027688
bayes.sfh.integrated                  0.021318  0.033585  0.027451
bayes.dust.alpha                      0.030720  0.023975  0.027348
bayes.agn.intrin_Lnu_2500A            0.032247  0.021426  0.026836
bayes.sfh.age                         0.024090  0.029055  0.026572
bayes.attenuation.powerlaw_slope      0.027255  0.023062  0.025158
bayes.sfh.sfr100Myrs                  0.027488  0.019579  0.023533
bayes.dust.luminosity                 0.021272  0.025049  0.023160
bayes.stellar.m_gas                   0.021668  0.020949  0.021309
bayes.agn.accretion_power             0.020788  0.020144  0.020466
bayes.stellar.m_star                  0.021446  0.018412  0.019929
bayes.stellar.lum                     0.019039  0.017535  0.018287
bayes.sfh.age_main                    0.024931       NaN       NaN
bayes.sfh.sfr10Myrs                   0.029094       NaN       NaN
bayes.stellar.lum_ly                  0.026508       NaN       NaN
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<p>We selected 7 parameters from these list to do the calculations. We include the 5 parameters with a high feature importance (the ones mentioned before) and we add the star-formation rate (SFR) and the AGN fraction ($f_{AGN}$). These two parameters can give us a better comparison with observational results, and at the same time improve the classification task.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ManualCols</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="s1">&#39;bayes.agn.i&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.agn.fracAGN&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.agn.EBV&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.attenuation.E_BVs&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.sfh.sfr&#39;</span><span class="p">,</span>
                       <span class="s1">&#39;bayes.sfh.tau_main&#39;</span><span class="p">])</span>
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<h5 id="FIGURE-4">FIGURE 4<a class="anchor-link" href="#FIGURE-4">&#182;</a></h5><p>Finally, we present the feature importance data in a plot to observe how different the parameters are.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fe_im</span> <span class="o">=</span> <span class="n">feat_imp</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;mean&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)[:</span><span class="mi">7</span><span class="p">]</span>
<span class="n">sns</span><span class="o">.</span><span class="n">set_style</span><span class="p">(</span><span class="s2">&quot;white&quot;</span><span class="p">)</span>
<span class="c1"># with plt.style.context(&#39;seaborn-talk&#39;):</span>
<span class="k">with</span> <span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">context</span><span class="p">(</span><span class="s1">&#39;seaborn-paper&#39;</span><span class="p">):</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;font.size&#39;</span><span class="p">:</span> <span class="mi">12</span><span class="p">})</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;axes.labelsize&#39;</span><span class="p">:</span> <span class="mi">12</span><span class="p">})</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;legend.fontsize&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">})</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;ytick.labelsize&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">})</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="o">.</span><span class="n">update</span><span class="p">({</span><span class="s1">&#39;xtick.labelsize&#39;</span><span class="p">:</span> <span class="mi">10</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="mf">6.75</span><span class="p">,</span> <span class="mf">5.44</span><span class="p">))</span>
    <span class="n">fe_im</span><span class="o">.</span><span class="n">plot</span><span class="o">.</span><span class="n">bar</span><span class="p">(</span><span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;RandomForest&#39;</span><span class="p">,</span> <span class="s1">&#39;XGB&#39;</span><span class="p">],</span> <span class="n">rot</span><span class="o">=</span><span class="mi">90</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">&#39;Feature Importance&#39;</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">7</span><span class="p">),</span> <span class="p">(</span><span class="s1">&#39;AGN disc luminosity&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;AGN Viewing angle&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;E(B-V)&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;e-folding time&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;AGN Polar-dust E(B-V)&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;Total AGN luminosity&#39;</span><span class="p">,</span>
                              <span class="s1">&#39;Dust luminosity&#39;</span><span class="p">))</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;../Figures/F5.pdf&#39;</span><span class="p">,</span> <span class="n">dpi</span><span class="o">=</span><span class="mi">300</span><span class="p">,</span> <span class="n">bbox_inches</span><span class="o">=</span><span class="s1">&#39;tight&#39;</span><span class="p">)</span>  <span class="c1"># For Paper</span>
<span class="c1">#     plt.savefig(&#39;../Talk_Figures/F5.png&#39;,dpi=300,bbox_inches = &#39;tight&#39;) # For Presentation</span>
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<pre>&lt;Figure size 486x391.68 with 0 Axes&gt;</pre>
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<h2 id="Correlation-score-with-CIGALE-parameters">Correlation score with CIGALE parameters<a class="anchor-link" href="#Correlation-score-with-CIGALE-parameters">&#182;</a></h2>
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<p>We define some selection defitions to be used for the classification task</p>

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<div class="prompt input_prompt">In&nbsp;[11]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">selt1_t2_smb</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select Seyfert 1 and 2 types from SMB&quot;&quot;&quot;</span>
    <span class="n">select_sey</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span>
                               <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy2&#39;</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">select_sey</span><span class="p">]</span>


<span class="k">def</span> <span class="nf">selt1_t2_vcv</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select Seyfert 1 and 2 types from VCV&quot;&quot;&quot;</span>
    <span class="n">select_sey</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S2&#39;</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">select_sey</span><span class="p">]</span>

<span class="k">def</span> <span class="nf">selt1_xor_selt2</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select mixed classifications Seyferts 1 and 2 between VCV and CDS&quot;&quot;&quot;</span>
    <span class="n">selec1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S2&#39;</span><span class="p">)</span>
    <span class="n">selec2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;Sy2&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1&#39;</span><span class="p">)</span>
    <span class="n">select_sey</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="p">(</span><span class="n">selec1</span><span class="p">,</span> <span class="n">selec2</span><span class="p">)</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">select_sey</span><span class="p">]</span>


<span class="k">def</span> <span class="nf">selt1_or_t2_vcv</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select numeric Seyfert types in VCV&quot;&quot;&quot;</span>
    <span class="n">selc1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span>
                           <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.0&#39;</span><span class="p">)</span>
    <span class="n">selc2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span>
                           <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.2&#39;</span><span class="p">)</span>
    <span class="n">selc3</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span>
                           <span class="s1">&#39;Sy1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.5&#39;</span><span class="p">)</span>
    <span class="n">selc4</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span>
                           <span class="s1">&#39;Sy2&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.8&#39;</span><span class="p">)</span>
    <span class="n">selc5</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span>
                           <span class="s1">&#39;Sy2&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.9&#39;</span><span class="p">)</span>
    <span class="n">select_sey</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="o">.</span><span class="n">reduce</span><span class="p">([</span><span class="n">selc1</span><span class="p">,</span> <span class="n">selc2</span><span class="p">,</span> <span class="n">selc3</span><span class="p">,</span> <span class="n">selc4</span><span class="p">,</span> <span class="n">selc5</span><span class="p">])</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">select_sey</span><span class="p">]</span>


<span class="k">def</span> <span class="nf">selt1_nor_t2</span><span class="p">(</span><span class="n">tab_phot</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Select all other types in VCV&quot;&quot;&quot;</span>
    <span class="n">i_sec</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="o">.</span><span class="n">reduce</span><span class="p">([</span><span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S2&#39;</span><span class="p">,</span>
                                   <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1.0&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1.2&#39;</span><span class="p">,</span>
                                   <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1.5&#39;</span><span class="p">,</span> <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1.8&#39;</span><span class="p">,</span>
                                   <span class="n">tab_phot</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">!=</span> <span class="s1">&#39;S1.9&#39;</span><span class="p">])</span>
    <span class="k">return</span> <span class="n">tab_phot</span><span class="p">[</span><span class="n">i_sec</span><span class="p">]</span>
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<p>If we assume that some of the outputs parameters from CIGALE can be used for the classification task, we can classify (flag) galaxies in Type-1 or Type-2. We selected the viewing angle and the AGN disc luminosity for the classification task. We set a limit in the viewing angle at 45 degrees (does not evolve with redshift), and we define linear fit for the AGN disc luminosity $\log(\rm{L}_{\rm{AGN}}^{\rm{disc}}) = 9.20 + 8.67\log(1+z)$ (Check <a href="../Figures/F8.pdf">FIGURE 8</a> and/or <a href="12_Analysis_Plots.ipynb">12_Analysis_Plots</a> notebook) in the range of z&lt;=0.6 to separate the two Seyfert types. For higher redshifts we assume the value at z=0.6. We also test what happen if we assume that numerical types from VCV are close to the respective Type-1 or Type-2.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">sep_sey_typ</span><span class="p">(</span><span class="n">redshift</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Polynomial fit for the separation in AGN disc luminosity between Seyfert Types&quot;&quot;&quot;</span>
    <span class="k">return</span> <span class="mf">9.20</span> <span class="o">+</span> <span class="mf">8.67</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">log10</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="n">redshift</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Log-value of the AGN disc luminosity at z&gt;0.6</span>
<span class="nb">print</span><span class="p">(</span><span class="n">sep_sey_typ</span><span class="p">(</span><span class="mf">0.6</span><span class="p">))</span>
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<pre>10.969720249626867
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Separating following the viewing angle</span>
<span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.i&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">45</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Sy1&#39;</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.i&#39;</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="mi">45</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Sy2&#39;</span>
<span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.i&#39;</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">45</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S1&#39;</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.i&#39;</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="mi">45</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S2&#39;</span>

<span class="c1"># Separating following the AGN disc luminosity</span>
<span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;TypeAGN_CIG_Ldisk&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span>
<span class="n">zSF</span> <span class="o">=</span> <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;rvz_redshift&#39;</span><span class="p">]</span>
<span class="n">ValueSeparatation</span> <span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="o">**</span><span class="n">sep_sey_typ</span><span class="p">(</span><span class="n">zSF</span><span class="o">.</span><span class="n">values</span><span class="p">)</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">solLum</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">u</span><span class="o">.</span><span class="n">W</span><span class="p">)</span><span class="o">.</span><span class="n">value</span>
<span class="n">ValueSeparatation</span><span class="p">[</span><span class="n">zSF</span> <span class="o">&gt;</span> <span class="mf">0.6</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="o">**</span><span class="n">sep_sey_typ</span><span class="p">(</span><span class="mf">0.6</span><span class="p">)</span> <span class="o">*</span> <span class="n">u</span><span class="o">.</span><span class="n">solLum</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">u</span><span class="o">.</span><span class="n">W</span><span class="p">)</span><span class="o">.</span><span class="n">value</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;TypeAGN_CIG_Ldisk&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Sy1&#39;</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;TypeAGN_CIG_Ldisk&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Sy2&#39;</span>
<span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;TypeAGN_CIG_Ldisk2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;TypeAGN_CIG_Ldisk2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S1&#39;</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;TypeAGN_CIG_Ldisk2&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S2&#39;</span>

<span class="c1"># Separating assuming numerical types close to types 1 and 2</span>
<span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;TypeAGN_VCV&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="o">.</span><span class="n">reduce</span><span class="p">([</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.0&#39;</span><span class="p">,</span> <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.2&#39;</span><span class="p">]),</span>
             <span class="s1">&#39;TypeAGN_VCV&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S1&#39;</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">logical_or</span><span class="o">.</span><span class="n">reduce</span><span class="p">([</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.8&#39;</span><span class="p">,</span>
                                   <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.9&#39;</span><span class="p">,</span> <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S1.5&#39;</span><span class="p">]),</span>
             <span class="s1">&#39;TypeAGN_VCV&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;S2&#39;</span>
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<p>We test how much the metric scores will change if we select only one of the classifications, for the viewing angle</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_t2_smb</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">)</span>
<span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_t2_vcv</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">)</span>
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<pre>SKIRTOR 0.514 0.748 0.813
Fritz 0.462 0.72 0.79
S37 0.555 0.767 0.832
F37 0.512 0.735 0.803
SKIRTOR 0.525 0.753 0.819
Fritz 0.477 0.727 0.799
S37 0.561 0.769 0.836
F37 0.512 0.734 0.805
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<p>We check also how bad it will be the classifier by selecting mixed classifications</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_xor_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">)</span>
<span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_xor_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">)</span>
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<pre>SKIRTOR 0.065 0.372 0.395
Fritz 0.081 0.374 0.396
S37 0.045 0.347 0.362
F37 0.019 0.256 0.256
SKIRTOR -0.065 0.445 0.605
Fritz -0.081 0.438 0.604
S37 -0.045 0.462 0.638
F37 -0.019 0.49 0.744
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<p>When using the intermediate classfication</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_or_t2_vcv</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;TypeAGN_VCV&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i2&#39;</span><span class="p">)</span>
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<pre>SKIRTOR 0.211 0.553 0.581
Fritz 0.112 0.539 0.547
S37 0.278 0.563 0.596
F37 0.188 0.569 0.581
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<p>Interestingly, when using the split by the AGN disc luminosity we obtain a better constraint</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_t2_smb</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_Ldisk&#39;</span><span class="p">)</span>
<span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_t2_vcv</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_Ldisk2&#39;</span><span class="p">)</span>
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<pre>SKIRTOR 0.61 0.796 0.849
Fritz 0.526 0.761 0.835
S37 0.598 0.789 0.849
F37 0.519 0.757 0.841
SKIRTOR 0.614 0.796 0.849
Fritz 0.521 0.757 0.833
S37 0.599 0.787 0.849
F37 0.514 0.752 0.839
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<h5 id="Part-TABLE-4">Part TABLE 4<a class="anchor-link" href="#Part-TABLE-4">&#182;</a></h5><p>Finally, we choose galaxies where SMB and VCV give the same classification. We use this values for comparing with the XGBoost and RandomForest methods. This values are the first part of Table 4.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># As these are in both samples it does not matter if we use &#39;otype_txt&#39; or &#39;Sp&#39;</span>
<span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_i&#39;</span><span class="p">)</span>
<span class="n">create_table_cig</span><span class="p">(</span><span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;TypeAGN_CIG_Ldisk&#39;</span><span class="p">)</span>
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<pre>SKIRTOR 0.541 0.763 0.827
Fritz 0.492 0.737 0.808
S37 0.58 0.781 0.846
F37 0.53 0.746 0.817
SKIRTOR 0.635 0.808 0.86
Fritz 0.542 0.769 0.842
S37 0.621 0.801 0.86
F37 0.535 0.764 0.848
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<h2 id="Correlation-score-with-with-Machine-Learning-algorithms">Correlation score with with Machine Learning algorithms<a class="anchor-link" href="#Correlation-score-with-with-Machine-Learning-algorithms">&#182;</a></h2><h5 id="Part-TABLE-4">Part TABLE 4<a class="anchor-link" href="#Part-TABLE-4">&#182;</a></h5><p>We fit the classifiers  with the selected columns. We present the mean feature importance of each of them, together with the same values presented before.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">TABLE4</span> <span class="o">=</span> <span class="n">create_table_clas</span><span class="p">(</span><span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="n">ManualCols</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">)</span>
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<pre>SKIRTOR
Fritz
S37
F37
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Table</span><span class="p">(</span><span class="n">TABLE4</span><span class="p">)</span><span class="o">.</span><span class="n">group_by</span><span class="p">(</span><span class="s1">&#39;col0&#39;</span><span class="p">)</span>
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<i>Table length=8</i>
<table id="table140343135766224" class="table-striped table-bordered table-condensed">
<thead><tr><th>col0</th><th>col1</th><th>col2</th><th>col3</th><th>col4</th></tr></thead>
<thead><tr><th>str12</th><th>str12</th><th>str12</th><th>str12</th><th>str12</th></tr></thead>
<tr><td>RandomForest</td><td>SKIRTOR</td><td>0.717</td><td>0.856</td><td>0.907</td></tr>
<tr><td>RandomForest</td><td>Fritz</td><td>0.732</td><td>0.865</td><td>0.913</td></tr>
<tr><td>RandomForest</td><td>S37</td><td>0.737</td><td>0.866</td><td>0.914</td></tr>
<tr><td>RandomForest</td><td>F37</td><td>0.646</td><td>0.822</td><td>0.9</td></tr>
<tr><td>XGBoost</td><td>SKIRTOR</td><td>0.666</td><td>0.833</td><td>0.896</td></tr>
<tr><td>XGBoost</td><td>Fritz</td><td>0.68</td><td>0.84</td><td>0.898</td></tr>
<tr><td>XGBoost</td><td>S37</td><td>0.716</td><td>0.857</td><td>0.91</td></tr>
<tr><td>XGBoost</td><td>F37</td><td>0.707</td><td>0.853</td><td>0.912</td></tr>
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<p>The <tt> DummyClassifier </tt> was used to check the baseline for the metrics in the predictions when using random configurations. So this can be seem as when the classifier gives bad/none results. This numbers are the last part of TABLE 4.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Dclf</span> <span class="o">=</span> <span class="n">DummyClassifier</span><span class="p">(</span><span class="n">strategy</span><span class="o">=</span><span class="s1">&#39;stratified&#39;</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
<span class="c1"># We use all the AGN models, not the train and test samples (It does not matter which one we use)</span>
<span class="n">Dclf</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_ori</span><span class="p">,</span> <span class="n">y_ori</span><span class="p">)</span>
<span class="n">DumPred</span> <span class="o">=</span> <span class="n">Dclf</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_ori</span><span class="p">)</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;DummyClassifier&#39;</span><span class="p">,</span> <span class="nb">round</span><span class="p">(</span><span class="n">matthews_corrcoef</span><span class="p">(</span><span class="n">y_ori</span><span class="p">,</span> <span class="n">DumPred</span><span class="p">),</span> <span class="mi">3</span><span class="p">),</span>
      <span class="nb">round</span><span class="p">(</span><span class="n">f1_score</span><span class="p">(</span><span class="n">y_ori</span><span class="p">,</span> <span class="n">DumPred</span><span class="p">,</span> <span class="n">average</span><span class="o">=</span><span class="s1">&#39;macro&#39;</span><span class="p">),</span> <span class="mi">3</span><span class="p">),</span>
      <span class="nb">round</span><span class="p">(</span><span class="n">accuracy_score</span><span class="p">(</span><span class="n">y_ori</span><span class="p">,</span> <span class="n">DumPred</span><span class="p">),</span> <span class="mi">3</span><span class="p">))</span>
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<pre>DummyClassifier -0.003 0.499 0.691
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<h2 id="Predict-the-type-of-Seyfert-in-unclassified-galaxies">Predict the type of Seyfert in unclassified galaxies<a class="anchor-link" href="#Predict-the-type-of-Seyfert-in-unclassified-galaxies">&#182;</a></h2><p>Here we select the galaxies with an undefined type (or unknown source) and we predict the type AGN. We compare with just selecting the AGN disc luminosity from CIGALE. As we saw before, the AGN disc luminosity is better in predict the classifications (first part of the TABLE 4).</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;CIG_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">))</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">nan</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&gt;</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;CIG_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
<span class="n">SFPandas</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;bayes.agn.disk_luminosity&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="n">ValueSeparatation</span><span class="p">,</span>
             <span class="s1">&#39;CIG_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
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<p>We then select two types, one where there is no class associated in VCV and SMB, and another when there is no class in VCV or SMB.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">NoClass</span> <span class="o">=</span> <span class="n">SFPandas</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">logical_and</span><span class="p">(</span>
    <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;SyG&#39;</span><span class="p">,</span> <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S&#39;</span><span class="p">)]</span>
<span class="n">SemiClass</span> <span class="o">=</span> <span class="n">SFPandas</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">logical_xor</span><span class="p">(</span>
    <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;otype_txt&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;SyG&#39;</span><span class="p">,</span> <span class="n">SFPandas</span><span class="p">[</span><span class="s1">&#39;Sp&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;S&#39;</span><span class="p">)]</span>
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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;Total number of galaxies without a class in neither VCV and SMB and a good fitting:&#39;</span><span class="p">,</span>
      <span class="nb">len</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">NoClass</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">])))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Total number of galaxies without a class in VCV or SMB and a good fitting:&#39;</span><span class="p">,</span>
      <span class="nb">len</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">unique</span><span class="p">(</span><span class="n">SemiClass</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">])))</span>
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<pre>Total number of galaxies without a class in neither VCV and SMB and a good fitting: 14
Total number of galaxies without a class in VCV or SMB and a good fitting: 45
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<p>We create a function to analyze these results in a table</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">create_table_clas_mod</span><span class="p">(</span><span class="n">train_table</span><span class="p">,</span> <span class="n">pred_table</span><span class="p">,</span> <span class="n">samp</span><span class="p">,</span> <span class="n">typ_agn</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Precict the type of the unknown Seyferts &quot;&quot;&quot;</span>
    <span class="n">col_pred1</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="n">col_pred2</span> <span class="o">=</span> <span class="p">[]</span>
    <span class="k">for</span> <span class="n">model</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;SKIRTOR&#39;</span><span class="p">,</span> <span class="s1">&#39;Fritz&#39;</span><span class="p">,</span> <span class="s1">&#39;S37&#39;</span><span class="p">,</span> <span class="s1">&#39;F37&#39;</span><span class="p">]:</span>
        <span class="n">x_ini</span> <span class="o">=</span> <span class="n">train_table</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">]</span>
        <span class="n">y_ini</span> <span class="o">=</span> <span class="n">train_table</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">typ_agn</span><span class="p">]</span>
        <span class="n">x_pre</span> <span class="o">=</span> <span class="n">pred_table</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">model</span><span class="p">][</span><span class="n">samp</span><span class="p">]</span>
        <span class="n">x_train</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">x_ini</span><span class="p">,</span> <span class="n">y_ini</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.20</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
        <span class="n">lab_enc</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">LabelEncoder</span><span class="p">()</span>
        <span class="n">lab_enc</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">y_ini</span><span class="p">)</span>
        <span class="n">x_train_encode</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_train</span><span class="p">)</span>
        <span class="n">y_train_encode</span> <span class="o">=</span> <span class="n">lab_enc</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">y_train</span><span class="p">)</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="o">.</span><span class="n">ravel</span><span class="p">()</span>
        <span class="c1"># These classifiers need to be defined before use</span>
        <span class="k">for</span> <span class="n">iclf</span><span class="p">,</span> <span class="n">clasi</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">([</span><span class="n">clf_rf</span><span class="p">,</span> <span class="n">clf_xg</span><span class="p">]):</span>
            <span class="nb">print</span><span class="p">([</span><span class="s1">&#39;RF&#39;</span><span class="p">,</span> <span class="s1">&#39;XGB&#39;</span><span class="p">][</span><span class="n">iclf</span><span class="p">],</span> <span class="n">model</span><span class="p">)</span>
            <span class="n">clasi</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train_encode</span><span class="p">,</span> <span class="n">y_train_encode</span><span class="p">)</span>
            <span class="n">x_pre_encode</span> <span class="o">=</span> <span class="n">preprocessing</span><span class="o">.</span><span class="n">robust_scale</span><span class="p">(</span><span class="n">x_pre</span><span class="p">)</span>
            <span class="n">y_pre</span> <span class="o">=</span> <span class="n">clasi</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_pre_encode</span><span class="p">)</span>
            <span class="k">if</span> <span class="n">iclf</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
                <span class="n">col_pred1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">col_pred1</span><span class="p">,</span> <span class="n">y_pre</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
            <span class="k">else</span><span class="p">:</span>
                <span class="n">col_pred2</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="n">col_pred2</span><span class="p">,</span> <span class="n">y_pre</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
    <span class="n">pred_table</span><span class="p">[</span><span class="s1">&#39;RF_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">col_pred1</span>
    <span class="n">pred_table</span><span class="p">[</span><span class="s1">&#39;XGB_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">col_pred2</span>
    <span class="k">return</span> <span class="n">pred_table</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ClassSec</span> <span class="o">=</span> <span class="n">create_table_clas_mod</span><span class="p">(</span><span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="n">NoClass</span><span class="p">,</span> <span class="n">ManualCols</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">)</span>
<span class="n">ClassSec2</span> <span class="o">=</span> <span class="n">create_table_clas_mod</span><span class="p">(</span><span class="n">selt1_or_selt2</span><span class="p">(</span><span class="n">SFPandas</span><span class="p">),</span> <span class="n">SemiClass</span><span class="p">,</span> <span class="n">ManualCols</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">)</span>
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<pre>RF SKIRTOR
XGB SKIRTOR
RF Fritz
XGB Fritz
RF S37
XGB S37
RF F37
XGB F37
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<pre>&lt;ipython-input-28-093b5ce43c24&gt;:24: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  pred_table[&#39;RF_Pred&#39;] = col_pred1
&lt;ipython-input-28-093b5ce43c24&gt;:25: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  pred_table[&#39;XGB_Pred&#39;] = col_pred2
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<pre>RF SKIRTOR
XGB SKIRTOR
RF Fritz
XGB Fritz
RF S37
XGB S37
RF F37
XGB F37
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<pre>&lt;ipython-input-28-093b5ce43c24&gt;:24: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  pred_table[&#39;RF_Pred&#39;] = col_pred1
&lt;ipython-input-28-093b5ce43c24&gt;:25: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  pred_table[&#39;XGB_Pred&#39;] = col_pred2
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<p>As there are four models in this work, we assume that all of them should give the same (or close to) classification in the final type. And we use the mean to represent these values.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">TypeTab</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">ClassSec</span><span class="p">[[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;RF_Pred&#39;</span><span class="p">,</span> <span class="s1">&#39;XGB_Pred&#39;</span><span class="p">,</span>
                                      <span class="s1">&#39;CIG_Pred&#39;</span><span class="p">]])</span><span class="o">.</span><span class="n">group_by</span><span class="p">(</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groups</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
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<pre>WARNING: Cannot aggregate column &#39;otype_txt&#39; with type &#39;&lt;U3&#39; [astropy.table.groups]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">TypeTab2</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">ClassSec2</span><span class="p">[[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">,</span> <span class="s1">&#39;RF_Pred&#39;</span><span class="p">,</span> <span class="s1">&#39;XGB_Pred&#39;</span><span class="p">,</span>
                                        <span class="s1">&#39;CIG_Pred&#39;</span><span class="p">]])</span><span class="o">.</span><span class="n">group_by</span><span class="p">(</span><span class="s1">&#39;id&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groups</span><span class="o">.</span><span class="n">aggregate</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">)</span>
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<pre>WARNING: Cannot aggregate column &#39;otype_txt&#39; with type &#39;&lt;U3&#39; [astropy.table.groups]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">TypeTab</span><span class="p">[</span><span class="s1">&#39;ML_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">TypeTab</span><span class="p">[</span><span class="s1">&#39;RF_Pred&#39;</span><span class="p">],</span> <span class="n">TypeTab</span><span class="p">[</span><span class="s1">&#39;XGB_Pred&#39;</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="n">TypeTab2</span><span class="p">[</span><span class="s1">&#39;ML_Pred&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">([</span><span class="n">TypeTab2</span><span class="p">[</span><span class="s1">&#39;RF_Pred&#39;</span><span class="p">],</span> <span class="n">TypeTab2</span><span class="p">[</span><span class="s1">&#39;XGB_Pred&#39;</span><span class="p">]],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
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<h5 id="TABLE-5">TABLE 5<a class="anchor-link" href="#TABLE-5">&#182;</a></h5><p>We predict the class depending on the average/mean of all the classifications trained in this work. The zeros values mean Sy1 while the ones are Sy2. For the galaxies without any classification we found that one would be Sy2, seven would be Sy1 and the rest (six) are still difficult to classify.</p>

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<i>Table length=14</i>
<table id="table140343137001088" class="table-striped table-bordered table-condensed">
<thead><tr><th>id</th><th>RF_Pred</th><th>XGB_Pred</th><th>CIG_Pred</th><th>ML_Pred</th></tr></thead>
<thead><tr><th>str23</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th></tr></thead>
<tr><td>2MASX J12140343-1921428</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>2MASX J18121404+2153047</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td></tr>
<tr><td>2MASX J21560047-2144325</td><td>0.0</td><td>0.25</td><td>1.0</td><td>0.125</td></tr>
<tr><td>2MASX J23032790+1443491</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>6dFGS gJ234635.0-205845</td><td>0.5</td><td>1.0</td><td>1.0</td><td>0.75</td></tr>
<tr><td>CADIS 16-505716</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>ESO 373-13</td><td>0.0</td><td>0.25</td><td>1.0</td><td>0.125</td></tr>
<tr><td>LEDA 1485346</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>LEDA 3095610</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>LEDA 3096762</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
<tr><td>MCG+00-11-002</td><td>0.0</td><td>0.0</td><td>0.5</td><td>0.0</td></tr>
<tr><td>MCG+03-45-003</td><td>0.5</td><td>0.5</td><td>0.5</td><td>0.5</td></tr>
<tr><td>QSO B1238+6232</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td></tr>
<tr><td>[HB93] 0248+011A</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr>
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<p>For the galaxies with at a unknown Seyfert classification in VCV or SMB, we found 36/45 Seyfert 1 galaxies. We discuss the results of the classifications in the paper.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">join</span><span class="p">(</span><span class="n">TypeTab2</span><span class="p">[:</span><span class="mi">20</span><span class="p">],</span> <span class="n">Sample</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">])</span>
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<i>Table length=20</i>
<table id="table140343138266992" class="table-striped table-bordered table-condensed">
<thead><tr><th>id</th><th>RF_Pred</th><th>XGB_Pred</th><th>CIG_Pred</th><th>ML_Pred</th><th>Sp</th><th>otype_txt</th></tr></thead>
<thead><tr><th>str35</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str4</th><th>str3</th></tr></thead>
<tr><td>2E  2294</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1</td><td>SyG</td></tr>
<tr><td>2E  2628</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>2E  3786</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.0</td><td>SyG</td></tr>
<tr><td>2MASS J00423990+3017514</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>2MASS J01341936+0146479</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.0</td><td>SyG</td></tr>
<tr><td>2MASS J02500703+0025251</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J08171856+5201477</td><td>0.0</td><td>0.0</td><td>1.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J09393182+5449092</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J09455439+4238399</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy2</td></tr>
<tr><td>2MASS J09470326+4640425</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J09594856+5942505</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J10102753+4132389</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.2</td><td>SyG</td></tr>
<tr><td>2MASS J10470514+5444060</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASS J12002696+3317286</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>2MASS J15142051+4244453</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASSI J0930176+470720</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASX J02522087+0043307</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASX J02593816+0042167</td><td>0.25</td><td>0.5</td><td>0.0</td><td>0.375</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASX J06374318-7538458</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.8</td><td>SyG</td></tr>
<tr><td>2MASX J09420770+0228053</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S2</td><td>SyG</td></tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">join</span><span class="p">(</span><span class="n">TypeTab2</span><span class="p">[</span><span class="mi">20</span><span class="p">:</span><span class="mi">40</span><span class="p">],</span> <span class="n">Sample</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">])</span>
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<i>Table length=20</i>
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<thead><tr><th>id</th><th>RF_Pred</th><th>XGB_Pred</th><th>CIG_Pred</th><th>ML_Pred</th><th>Sp</th><th>otype_txt</th></tr></thead>
<thead><tr><th>str35</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str4</th><th>str3</th></tr></thead>
<tr><td>2MASX J09443702-2633554</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>2MASX J09483841+4030436</td><td>0.75</td><td>0.75</td><td>1.0</td><td>0.75</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASX J10155660-2002268</td><td>0.5</td><td>0.75</td><td>0.0</td><td>0.625</td><td>S1</td><td>SyG</td></tr>
<tr><td>2MASX J10194946+3322041</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S</td><td>Sy2</td></tr>
<tr><td>2MASX J15085291+6814074</td><td>0.0</td><td>0.25</td><td>0.0</td><td>0.125</td><td>S1.8</td><td>SyG</td></tr>
<tr><td>2MASX J16383091-2055246</td><td>0.75</td><td>1.0</td><td>0.5</td><td>0.875</td><td>S1</td><td>SyG</td></tr>
<tr><td>2MASX J21033788-0455396</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.9</td><td>SyG</td></tr>
<tr><td>2MASX J21512498-0757558</td><td>1.0</td><td>1.0</td><td>1.0</td><td>1.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>2MASX J22024516-1304538</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.8</td><td>SyG</td></tr>
<tr><td>2dFGRS TGN357Z241</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.2</td><td>SyG</td></tr>
<tr><td>3C 286</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>6dFGS gJ034205.4-370322</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1</td><td>SyG</td></tr>
<tr><td>6dFGS gJ043944.9-454043</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1</td><td>SyG</td></tr>
<tr><td>6dFGS gJ084628.7-121409</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>CTS   11</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1</td><td>SyG</td></tr>
<tr><td>HE 0226-4110</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.0</td><td>SyG</td></tr>
<tr><td>ICRF J025937.6+423549</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>ICRF J081100.6+571412</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>ICRF J100646.4-215920</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.0</td><td>SyG</td></tr>
<tr><td>ICRF J110153.4+624150</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">join</span><span class="p">(</span><span class="n">TypeTab2</span><span class="p">[</span><span class="mi">40</span><span class="p">:],</span> <span class="n">Sample</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">,</span> <span class="s1">&#39;Sp&#39;</span><span class="p">,</span> <span class="s1">&#39;otype_txt&#39;</span><span class="p">])</span>
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<i>Table length=5</i>
<table id="table140343138289456" class="table-striped table-bordered table-condensed">
<thead><tr><th>id</th><th>RF_Pred</th><th>XGB_Pred</th><th>CIG_Pred</th><th>ML_Pred</th><th>Sp</th><th>otype_txt</th></tr></thead>
<thead><tr><th>str35</th><th>float64</th><th>float64</th><th>float64</th><th>float64</th><th>str4</th><th>str3</th></tr></thead>
<tr><td>ICRF J135704.4+191907</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>IRAS 10295-1831</td><td>0.25</td><td>0.25</td><td>0.0</td><td>0.25</td><td>S1.5</td><td>SyG</td></tr>
<tr><td>Mrk 1361</td><td>1.0</td><td>1.0</td><td>0.5</td><td>1.0</td><td>S</td><td>Sy2</td></tr>
<tr><td>PB   162</td><td>0.0</td><td>0.0</td><td>0.5</td><td>0.0</td><td>S</td><td>Sy1</td></tr>
<tr><td>UGC 10683</td><td>0.0</td><td>1.0</td><td>1.0</td><td>0.5</td><td>S1.5</td><td>SyG</td></tr>
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<h5 id="Notebook-info">Notebook info<a class="anchor-link" href="#Notebook-info">&#182;</a></h5>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">load_ext</span> watermark
<span class="o">%</span><span class="k">watermark</span> -a &quot;Andres Ramos&quot; -d -v -m
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Specific Python packages&#39;</span><span class="p">)</span>
<span class="o">%</span><span class="k">watermark</span> -iv -w
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<pre>Author: Andres Ramos

Python implementation: CPython
Python version       : 3.8.3
IPython version      : 7.16.1

Compiler    : GCC 7.3.0
OS          : Linux
Release     : 3.10.0-1160.25.1.el7.x86_64
Machine     : x86_64
Processor   : x86_64
CPU cores   : 8
Architecture: 64bit

Specific Python packages
autopep8  : 1.5.7
sklearn   : 0.23.1
seaborn   : 0.11.1
matplotlib: 3.2.2
numpy     : 1.19.5
json      : 2.0.9
logging   : 0.5.1.2
xgboost   : 1.3.3
re        : 2.2.1
sys       : 3.8.3 (default, Jul  2 2020, 16:21:59) 
[GCC 7.3.0]
astropy   : 4.2
pandas    : 1.2.0

Watermark: 2.1.0

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