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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 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

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

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

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

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
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<h2>&#x1F310; &nbsp; Code Library, Style, and Links</h2>
<p>The previous notebooks:</p>
<p>&#x1F4D8; &nbsp;  <a href="https://www.kaggle.com/olgabelitskaya/passnyc-data-exploration">PASSNYC. Data Exploration</a></p>
<p>&#x1F4D8; &nbsp;  <a href="https://www.kaggle.com/olgabelitskaya/passnyc-numeric-and-categorical-variables">PASSNYC. Numeric and Categorical Variables</a></p>
<p>&#x1F4D8; &nbsp;  <a href="passnyc-comparing-all-districts-with-5th-district">PASSNYC. Comparing All Districts with 5th District</a></p>
<p>Useful <code>LINKS</code>:</p>
<p>&#x1F4E1; &nbsp; <a href="http://schools.nyc.gov/NR/rdonlyres/967E0EE1-7E5D-4E47-BC21-573FEEE23AE2/0/201516EducatorGuideHS9252017.pdf">School Quality Reports. Educator Guide</a></p>
<p>&#x1F4E1; &nbsp; <a href="https://www.schools.nyc.gov">New York City Department of Education</a></p>
<p>&#x1F4E1; &nbsp; <a href="https://opendata.cityofnewyork.us/">NYC OpenData</a></p>
<p>&#x1F4E1; &nbsp; <a href="https://pandas.pydata.org/pandas-docs/stable/visualization.html">Pandas Visualization</a></p>
<p>&#x1F4E1; &nbsp; <a href="https://pandas.pydata.org/pandas-docs/stable/style.html">Pandas Styling</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">html</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> 
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">geopandas</span> <span class="k">as</span> <span class="nn">gpd</span>

<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">matplotlib.cm</span> <span class="k">as</span> <span class="nn">cm</span>
<span class="kn">import</span> <span class="nn">matplotlib.colors</span> <span class="k">as</span> <span class="nn">mcolors</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="o">%</span><span class="k">matplotlib</span> inline

<span class="kn">from</span> <span class="nn">descartes</span> <span class="k">import</span> <span class="n">PolygonPatch</span>

<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="k">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">mean_squared_error</span><span class="p">,</span> <span class="n">median_absolute_error</span><span class="p">,</span> <span class="n">mean_absolute_error</span>
<span class="kn">from</span> <span class="nn">sklearn.metrics</span> <span class="k">import</span> <span class="n">r2_score</span><span class="p">,</span> <span class="n">explained_variance_score</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="k">import</span> <span class="n">GradientBoostingRegressor</span><span class="p">,</span> <span class="n">RandomForestRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="k">import</span> <span class="n">BaggingRegressor</span><span class="p">,</span> <span class="n">AdaBoostRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.tree</span> <span class="k">import</span> <span class="n">DecisionTreeRegressor</span> 
<span class="kn">from</span> <span class="nn">sklearn.ensemble</span> <span class="k">import</span> <span class="n">ExtraTreesRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.neural_network</span> <span class="k">import</span> <span class="n">MLPRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">LinearRegression</span><span class="p">,</span> <span class="n">SGDRegressor</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">Ridge</span><span class="p">,</span> <span class="n">RidgeCV</span><span class="p">,</span> <span class="n">BayesianRidge</span>
<span class="kn">from</span> <span class="nn">sklearn.linear_model</span> <span class="k">import</span> <span class="n">HuberRegressor</span><span class="p">,</span> <span class="n">TheilSenRegressor</span><span class="p">,</span> <span class="n">RANSACRegressor</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Function for fitting regressors</span>
<span class="k">def</span> <span class="nf">regression</span><span class="p">(</span><span class="n">regressor</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">reg</span> <span class="o">=</span> <span class="n">regressor</span>
    <span class="n">reg</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">)</span>
    
    <span class="n">y_train_reg</span> <span class="o">=</span> <span class="n">reg</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_train</span><span class="p">)</span>
    <span class="n">y_test_reg</span> <span class="o">=</span> <span class="n">reg</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">x_test</span><span class="p">)</span>
    
    <span class="k">return</span> <span class="n">y_train_reg</span><span class="p">,</span> <span class="n">y_test_reg</span>

<span class="c1"># Function for metrics</span>
<span class="k">def</span> <span class="nf">scores</span><span class="p">(</span><span class="n">regressor</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">y_test</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">):</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;_______________________________________&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">regressor</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;_______________________________________&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;EV score. Train: &quot;</span><span class="p">,</span> <span class="n">explained_variance_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;EV score. Test: &quot;</span><span class="p">,</span> <span class="n">explained_variance_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;---------&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;R2 score. Train: &quot;</span><span class="p">,</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;R2 score. Test: &quot;</span><span class="p">,</span> <span class="n">r2_score</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;---------&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MSE score. Train: &quot;</span><span class="p">,</span> <span class="n">mean_squared_error</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MSE score. Test: &quot;</span><span class="p">,</span> <span class="n">mean_squared_error</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;---------&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MAE score. Train: &quot;</span><span class="p">,</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MAE score. Test: &quot;</span><span class="p">,</span> <span class="n">mean_absolute_error</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;---------&quot;</span><span class="p">)</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MdAE score. Train: &quot;</span><span class="p">,</span> <span class="n">median_absolute_error</span><span class="p">(</span><span class="n">y_train</span><span class="p">,</span> <span class="n">y_train_reg</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;MdAE score. Test: &quot;</span><span class="p">,</span> <span class="n">median_absolute_error</span><span class="p">(</span><span class="n">y_test</span><span class="p">,</span> <span class="n">y_test_reg</span><span class="p">))</span>

<span class="c1"># Dataframe style</span>
<span class="n">style_dict</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;background-color&#39;</span><span class="p">:</span><span class="s1">&#39;slategray&#39;</span><span class="p">,</span>
              <span class="s1">&#39;color&#39;</span><span class="p">:</span><span class="s1">&#39;#37c9e1&#39;</span><span class="p">,</span>
              <span class="s1">&#39;border-color&#39;</span><span class="p">:</span> <span class="s1">&#39;white&#39;</span><span class="p">,</span>
              <span class="s1">&#39;font-family&#39;</span><span class="p">:</span><span class="s1">&#39;Roboto&#39;</span><span class="p">}</span>
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<h2>&#x1F310; &nbsp; Load and Preprocess the Data</h2>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">school_explorer</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;2016 School Explorer.csv&#39;</span><span class="p">)</span>
<span class="n">d5_shsat</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;D5 SHSAT Registrations and Testers.csv&#39;</span><span class="p">)</span>
<span class="n">school_explorer</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">d5_shsat</span><span class="o">.</span><span class="n">shape</span>
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<pre>((1272, 161), (140, 7))</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">drop_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Adjusted Grade&#39;</span><span class="p">,</span><span class="s1">&#39;New?&#39;</span><span class="p">,</span><span class="s1">&#39;Other Location Code in LCGMS&#39;</span><span class="p">]</span>
<span class="n">school_explorer</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">drop_list</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"># Replace the same values</span>
<span class="n">school_explorer</span><span class="o">.</span><span class="n">loc</span><span class="p">[[</span><span class="mi">427</span><span class="p">,</span><span class="mi">1023</span><span class="p">,</span><span class="mi">712</span><span class="p">,</span><span class="mi">908</span><span class="p">],</span><span class="s1">&#39;School Name&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="p">[</span><span class="s1">&#39;P.S. 212 D12&#39;</span><span class="p">,</span><span class="s1">&#39;P.S. 212 D30&#39;</span><span class="p">,</span><span class="s1">&#39;P.S. 253 D21&#39;</span><span class="p">,</span><span class="s1">&#39;P.S. 253 D27&#39;</span><span class="p">]</span>
<span class="c1"># Transform from string to numeric values </span>
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;str&#39;</span><span class="p">)</span> 
<span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">&quot;,&quot;</span><span class="p">,</span><span class="s2">&quot;$&quot;</span><span class="p">,</span><span class="s2">&quot; &quot;</span><span class="p">]:</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span> <span class="o">=</span> \
    <span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">s</span><span class="p">,</span> <span class="s2">&quot;&quot;</span><span class="p">)</span>
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;nan&quot;</span><span class="p">,</span> <span class="s2">&quot;0&quot;</span><span class="p">)</span>
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
<span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="n">percent_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Percent ELL&#39;</span><span class="p">,</span><span class="s1">&#39;Percent Asian&#39;</span><span class="p">,</span><span class="s1">&#39;Percent Black&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Percent Hispanic&#39;</span><span class="p">,</span><span class="s1">&#39;Percent Black / Hispanic&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Percent White&#39;</span><span class="p">,</span><span class="s1">&#39;Student Attendance Rate&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Percent of Students Chronically Absent&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Rigorous Instruction %&#39;</span><span class="p">,</span><span class="s1">&#39;Collaborative Teachers %&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Supportive Environment %&#39;</span><span class="p">,</span><span class="s1">&#39;Effective School Leadership %&#39;</span><span class="p">,</span>
                <span class="s1">&#39;Strong Family-Community Ties %&#39;</span><span class="p">,</span><span class="s1">&#39;Trust %&#39;</span><span class="p">]</span>

<span class="n">target_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Average ELA Proficiency&#39;</span><span class="p">,</span><span class="s1">&#39;Average Math Proficiency&#39;</span><span class="p">]</span>
<span class="n">economic_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Economic Need Index&#39;</span><span class="p">,</span><span class="s1">&#39;School Income Estimate&#39;</span><span class="p">]</span>
<span class="n">rating_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Rigorous Instruction Rating&#39;</span><span class="p">,</span><span class="s1">&#39;Collaborative Teachers Rating&#39;</span><span class="p">,</span>
               <span class="s1">&#39;Supportive Environment Rating&#39;</span><span class="p">,</span><span class="s1">&#39;Effective School Leadership Rating&#39;</span><span class="p">,</span>
               <span class="s1">&#39;Strong Family-Community Ties Rating&#39;</span><span class="p">,</span><span class="s1">&#39;Trust Rating&#39;</span><span class="p">,</span>
               <span class="s1">&#39;Student Achievement Rating&#39;</span><span class="p">]</span>
<span class="c1"># Transform to numeric variables and fillna missing values</span>
<span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">percent_list</span><span class="p">:</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="s1">&#39;str&#39;</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;%&quot;</span><span class="p">,</span> <span class="s2">&quot;&quot;</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;nan&quot;</span><span class="p">,</span> <span class="s2">&quot;0&quot;</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">NaN</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">()</span>

<span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">target_list</span><span class="o">+</span><span class="n">economic_list</span><span class="p">:</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">interpolate</span><span class="p">()</span>
    
<span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="n">rating_list</span><span class="p">:</span>
    <span class="n">moda_value</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">idxmax</span><span class="p">()</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">el</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="n">moda_value</span><span class="p">)</span>
    
<span class="c1"># Preprocess categorical features      </span>
<span class="n">category_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;District&#39;</span><span class="p">,</span><span class="s1">&#39;Community School?&#39;</span><span class="p">,</span><span class="s1">&#39;City&#39;</span><span class="p">,</span><span class="s1">&#39;Grades&#39;</span><span class="p">]</span>
                 
<span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">category_list</span><span class="p">:</span>
    <span class="n">feature_cat</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">factorize</span><span class="p">(</span><span class="n">school_explorer</span><span class="p">[</span><span class="n">feature</span><span class="p">])</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">feature_cat</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
    
<span class="k">for</span> <span class="n">feature</span> <span class="ow">in</span> <span class="n">rating_list</span><span class="p">:</span>
    <span class="n">feature_pairs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="nb">zip</span><span class="p">([</span><span class="s1">&#39;Not Meeting Target&#39;</span><span class="p">,</span> <span class="s1">&#39;Meeting Target&#39;</span><span class="p">,</span> 
                              <span class="s1">&#39;Approaching Target&#39;</span><span class="p">,</span> <span class="s1">&#39;Exceeding Target&#39;</span><span class="p">],</span>
                             <span class="p">[</span><span class="s1">&#39;0&#39;</span><span class="p">,</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="s1">&#39;3&#39;</span><span class="p">]))</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="n">feature_pairs</span><span class="p">,</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
    <span class="n">school_explorer</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">feature</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span>
    
<span class="n">category_list</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">category_list</span><span class="o">+</span><span class="n">rating_list</span><span class="p">)</span>

<span class="n">numeric_list</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">school_explorer</span>\
<span class="o">.</span><span class="n">columns</span><span class="p">[[</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">]</span><span class="o">+</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">13</span><span class="p">,</span><span class="mi">24</span><span class="p">))</span><span class="o">+</span><span class="p">[</span><span class="mi">25</span><span class="p">,</span><span class="mi">27</span><span class="p">,</span><span class="mi">29</span><span class="p">,</span><span class="mi">31</span><span class="p">,</span><span class="mi">33</span><span class="p">]</span><span class="o">+</span><span class="nb">list</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="mi">38</span><span class="p">,</span><span class="mi">158</span><span class="p">))])</span>    
    
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;Number of Missing Values: &#39;</span><span class="p">,</span> <span class="nb">sum</span><span class="p">(</span><span class="n">school_explorer</span><span class="o">.</span><span class="n">isna</span><span class="p">()</span><span class="o">.</span><span class="n">sum</span><span class="p">()))</span>
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<pre>Number of Missing Values:  0
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create a new dataframe</span>
<span class="n">sat_list</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;DBN&#39;</span><span class="p">,</span><span class="s1">&#39;Number of students who registered for the SHSAT&#39;</span><span class="p">,</span>
            <span class="s1">&#39;Number of students who took the SHSAT&#39;</span><span class="p">]</span>
<span class="n">d5_shsat_2016</span> <span class="o">=</span> <span class="n">d5_shsat</span><span class="p">[</span><span class="n">sat_list</span><span class="p">][</span><span class="n">d5_shsat</span><span class="p">[</span><span class="s1">&#39;Year of SHST&#39;</span><span class="p">]</span><span class="o">==</span><span class="mi">2016</span><span class="p">]</span>\
<span class="o">.</span><span class="n">groupby</span><span class="p">([</span><span class="s1">&#39;DBN&#39;</span><span class="p">],</span><span class="n">as_index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">)</span>
<span class="c1"># Create a new variable</span>
<span class="n">d5_shsat_2016</span><span class="p">[</span><span class="s1">&#39;Took SHSAT %&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="n">d5_shsat_2016</span><span class="p">[</span><span class="s1">&#39;Number of students who took the SHSAT&#39;</span><span class="p">]</span>\
<span class="o">/</span> <span class="n">d5_shsat_2016</span><span class="p">[</span><span class="s1">&#39;Number of students who registered for the SHSAT&#39;</span><span class="p">]</span>

<span class="n">d5_shsat_2016</span><span class="p">[</span><span class="s1">&#39;Took SHSAT %&#39;</span><span class="p">]</span> <span class="o">=</span> \
<span class="n">d5_shsat_2016</span><span class="p">[</span><span class="s1">&#39;Took SHSAT %&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">round</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="mi">3</span><span class="p">))</span>
<span class="n">d5_shsat_2016</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;DBN&#39;</span><span class="p">:</span><span class="s1">&#39;Location Code&#39;</span><span class="p">},</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="c1"># Merge dataframes</span>
<span class="n">d5_shsat_2016</span> <span class="o">=</span> \
<span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">school_explorer</span><span class="p">[[</span><span class="s1">&#39;Location Code&#39;</span><span class="p">]</span><span class="o">+</span><span class="n">numeric_list</span><span class="o">+</span><span class="n">category_list</span><span class="o">+</span><span class="n">target_list</span><span class="p">],</span>
                         <span class="n">d5_shsat_2016</span><span class="p">,</span> <span class="n">on</span><span class="o">=</span><span class="s1">&#39;Location Code&#39;</span><span class="p">)</span>

<span class="n">d5_shsat_2016</span><span class="o">.</span><span class="n">shape</span>
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<pre>(21, 155)</pre>
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<h2>&#x1F310; &nbsp; Split the Data for Regressor Training</h2>

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<h4 id="The-first-set-of-features">The first set of features<a class="anchor-link" href="#The-first-set-of-features">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># data = school_explorer, features = numeric veriables, targets = Average Math Proficiency</span>
<span class="n">features1</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">numeric_list</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>
<span class="n">targets1</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;Average Math Proficiency&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="n">X_train1</span><span class="p">,</span> <span class="n">X_test1</span><span class="p">,</span> <span class="n">y_train1</span><span class="p">,</span> <span class="n">y_test1</span> <span class="o">=</span> \
<span class="n">train_test_split</span><span class="p">(</span><span class="n">features1</span><span class="p">,</span> <span class="n">targets1</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">X_train1</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">X_test1</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_train1</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test1</span><span class="o">.</span><span class="n">shape</span>
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<pre>((1017, 138), (255, 138), (1017,), (255,))</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># data = school_explorer, features = numeric veriables, targets = Average ELA Proficiency</span>
<span class="n">targets2</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="s1">&#39;Average ELA Proficiency&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="n">X_train2</span><span class="p">,</span> <span class="n">X_test2</span><span class="p">,</span> <span class="n">y_train2</span><span class="p">,</span> <span class="n">y_test2</span> <span class="o">=</span> \
<span class="n">train_test_split</span><span class="p">(</span><span class="n">features1</span><span class="p">,</span> <span class="n">targets2</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">X_train2</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">X_test2</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_train2</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test2</span><span class="o">.</span><span class="n">shape</span>
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<pre>((1017, 138), (255, 138), (1017,), (255,))</pre>
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<h4 id="The-second-set-of-features">The second set of features<a class="anchor-link" href="#The-second-set-of-features">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># data = school_explorer, </span>
<span class="n">features_list</span> <span class="o">=</span> <span class="n">numeric_list</span><span class="o">+</span><span class="n">category_list</span> 
<span class="c1"># targets = Average Math Proficiency</span>
<span class="n">features2</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">features_list</span><span class="p">]</span><span class="o">.</span><span class="n">values</span>

<span class="n">X_train3</span><span class="p">,</span> <span class="n">X_test3</span><span class="p">,</span> <span class="n">y_train3</span><span class="p">,</span> <span class="n">y_test3</span> <span class="o">=</span> \
<span class="n">train_test_split</span><span class="p">(</span><span class="n">features2</span><span class="p">,</span> <span class="n">targets1</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">X_train3</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">X_test3</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_train3</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test3</span><span class="o">.</span><span class="n">shape</span>
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<pre>((1017, 149), (255, 149), (1017,), (255,))</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># data = school_explorer, </span>
<span class="c1"># targets = Average ELA Proficiency</span>

<span class="n">X_train4</span><span class="p">,</span> <span class="n">X_test4</span><span class="p">,</span> <span class="n">y_train4</span><span class="p">,</span> <span class="n">y_test4</span> <span class="o">=</span> \
<span class="n">train_test_split</span><span class="p">(</span><span class="n">features2</span><span class="p">,</span> <span class="n">targets2</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">X_train4</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">X_test4</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_train4</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">y_test4</span><span class="o">.</span><span class="n">shape</span>
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<pre>((1017, 149), (255, 149), (1017,), (255,))</pre>
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<h2>&#x1F310; &nbsp; Fit the Regressors</h2>

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<h4 id="The-first-set-of-features">The first set of features<a class="anchor-link" href="#The-first-set-of-features">&#182;</a></h4><p>The predictions are based on the data about the financial situation, social environment, ethnic composition and test results of each grade.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_gbr1</span><span class="p">,</span> <span class="n">y_test_gbr1</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">138</span><span class="p">),</span> 
           <span class="n">X_train1</span><span class="p">,</span> <span class="n">X_test1</span><span class="p">,</span> <span class="n">y_train1</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Gradient Boosting Regressor </span><span class="se">\n</span><span class="s1">Average Math Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train1</span><span class="p">,</span> <span class="n">y_test1</span><span class="p">,</span> <span class="n">y_train_gbr1</span><span class="p">,</span> <span class="n">y_test_gbr1</span><span class="p">)</span>
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<pre>_______________________________________
Gradient Boosting Regressor 
Average Math Proficiency
_______________________________________
EV score. Train:  0.9815852114203323
EV score. Test:  0.8945272866545283
---------
R2 score. Train:  0.9815852114203323
R2 score. Test:  0.8945190190922747
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MSE score. Train:  0.0040134599268851715
MSE score. Test:  0.02251896272807043
---------
MAE score. Train:  0.048859917349381846
MAE score. Test:  0.11425203338733089
---------
MdAE score. Train:  0.0398670038457154
MdAE score. Test:  0.08782391049705573
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_rfr1</span><span class="p">,</span> <span class="n">y_test_rfr1</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">138</span><span class="p">),</span> 
           <span class="n">X_train1</span><span class="p">,</span> <span class="n">X_test1</span><span class="p">,</span> <span class="n">y_train1</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Random Forest Regressor </span><span class="se">\n</span><span class="s1">Average Math Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train1</span><span class="p">,</span> <span class="n">y_test1</span><span class="p">,</span> <span class="n">y_train_rfr1</span><span class="p">,</span> <span class="n">y_test_rfr1</span><span class="p">)</span>
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<pre>_______________________________________
Random Forest Regressor 
Average Math Proficiency
_______________________________________
EV score. Train:  0.9769331239883965
EV score. Test:  0.8795888872376975
---------
R2 score. Train:  0.9769182846846851
R2 score. Test:  0.8795601177408455
---------
MSE score. Train:  0.005030605649422001
MSE score. Test:  0.02571251420139621
---------
MAE score. Train:  0.05077357922562811
MAE score. Test:  0.12301144974898183
---------
MdAE score. Train:  0.03789855072463677
MdAE score. Test:  0.09558574879226933
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_gbr2</span><span class="p">,</span> <span class="n">y_test_gbr2</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">276</span><span class="p">),</span> 
           <span class="n">X_train2</span><span class="p">,</span> <span class="n">X_test2</span><span class="p">,</span> <span class="n">y_train2</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Gradient Boosting Regressor </span><span class="se">\n</span><span class="s1">Average ELA Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train2</span><span class="p">,</span> <span class="n">y_test2</span><span class="p">,</span> <span class="n">y_train_gbr2</span><span class="p">,</span> <span class="n">y_test_gbr2</span><span class="p">)</span>
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<pre>_______________________________________
Gradient Boosting Regressor 
Average ELA Proficiency
_______________________________________
EV score. Train:  0.9991525930620759
EV score. Test:  0.8692539677523933
---------
R2 score. Train:  0.9991525930620759
R2 score. Test:  0.86917276708694
---------
MSE score. Train:  0.00010655639219100777
MSE score. Test:  0.018789708961543472
---------
MAE score. Train:  0.007692157878821899
MAE score. Test:  0.1007977485070728
---------
MdAE score. Train:  0.0059483144717873415
MdAE score. Test:  0.07485197687007172
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_rfr2</span><span class="p">,</span> <span class="n">y_test_rfr2</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">276</span><span class="p">),</span> 
           <span class="n">X_train2</span><span class="p">,</span> <span class="n">X_test2</span><span class="p">,</span> <span class="n">y_train2</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Random Forest Regressor </span><span class="se">\n</span><span class="s1">Average ELA Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train1</span><span class="p">,</span> <span class="n">y_test2</span><span class="p">,</span> <span class="n">y_train_rfr2</span><span class="p">,</span> <span class="n">y_test_rfr2</span><span class="p">)</span>
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<pre>_______________________________________
Random Forest Regressor 
Average ELA Proficiency
_______________________________________
EV score. Train:  0.8219390535070638
EV score. Test:  0.8499869236940374
---------
R2 score. Train:  0.7345229573560799
R2 score. Test:  0.8499815222484424
---------
MSE score. Train:  0.05786009801577555
MSE score. Test:  0.021545999812430192
---------
MAE score. Train:  0.18609301446662763
MAE score. Test:  0.10594414251207725
---------
MdAE score. Train:  0.14858695652174747
MdAE score. Test:  0.07732336956521779
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<h4 id="The-second-set-of-features">The second set of features<a class="anchor-link" href="#The-second-set-of-features">&#182;</a></h4><p>The predictions are based on the data about the financial situation, social environment, ethnic composition, test results for each grade and geodata.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_gbr3</span><span class="p">,</span> <span class="n">y_test_gbr3</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">81</span><span class="p">),</span> 
           <span class="n">X_train3</span><span class="p">,</span> <span class="n">X_test3</span><span class="p">,</span> <span class="n">y_train3</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Gradient Boosting Regressor </span><span class="se">\n</span><span class="s1">Average Math Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train3</span><span class="p">,</span> <span class="n">y_test3</span><span class="p">,</span> <span class="n">y_train_gbr3</span><span class="p">,</span> <span class="n">y_test_gbr3</span><span class="p">)</span>
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<pre>_______________________________________
Gradient Boosting Regressor 
Average Math Proficiency
_______________________________________
EV score. Train:  0.9717626146865521
EV score. Test:  0.9010320396996527
---------
R2 score. Train:  0.9717626146865521
R2 score. Test:  0.9009040915669183
---------
MSE score. Train:  0.006154271818285735
MSE score. Test:  0.021155824010216533
---------
MAE score. Train:  0.06038761631827774
MAE score. Test:  0.11154677102966196
---------
MdAE score. Train:  0.04975353013818351
MdAE score. Test:  0.09581834117297605
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_rfr3</span><span class="p">,</span> <span class="n">y_test_rfr3</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">81</span><span class="p">),</span> 
           <span class="n">X_train3</span><span class="p">,</span> <span class="n">X_test3</span><span class="p">,</span> <span class="n">y_train3</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Random Forest Regressor </span><span class="se">\n</span><span class="s1">Average Math Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train3</span><span class="p">,</span> <span class="n">y_test3</span><span class="p">,</span> <span class="n">y_train_rfr3</span><span class="p">,</span> <span class="n">y_test_rfr3</span><span class="p">)</span>
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<pre>_______________________________________
Random Forest Regressor 
Average Math Proficiency
_______________________________________
EV score. Train:  0.9782381612380897
EV score. Test:  0.8869770766892757
---------
R2 score. Train:  0.9782376247999847
R2 score. Test:  0.886844608102874
---------
MSE score. Train:  0.004743058569542226
MSE score. Test:  0.02415736022440572
---------
MAE score. Train:  0.04768555442255322
MAE score. Test:  0.11688729524731711
---------
MdAE score. Train:  0.035185185185184764
MdAE score. Test:  0.08935185185185279
</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_gbr4</span><span class="p">,</span> <span class="n">y_test_gbr4</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">108</span><span class="p">),</span> 
           <span class="n">X_train4</span><span class="p">,</span> <span class="n">X_test4</span><span class="p">,</span> <span class="n">y_train4</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Gradient Boosting Regressor </span><span class="se">\n</span><span class="s1">Average ELA Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train4</span><span class="p">,</span> <span class="n">y_test4</span><span class="p">,</span> <span class="n">y_train_gbr4</span><span class="p">,</span> <span class="n">y_test_gbr4</span><span class="p">)</span>
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<pre>_______________________________________
Gradient Boosting Regressor 
Average ELA Proficiency
_______________________________________
EV score. Train:  0.9768788926671613
EV score. Test:  0.8699199822405883
---------
R2 score. Train:  0.9768788926671613
R2 score. Test:  0.8698972844530102
---------
MSE score. Train:  0.002907341998973853
MSE score. Test:  0.018685652106231937
---------
MAE score. Train:  0.042012666810131466
MAE score. Test:  0.09755322368423468
---------
MdAE score. Train:  0.034864119319812925
MdAE score. Test:  0.07143640114213312
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">y_train_rfr4</span><span class="p">,</span> <span class="n">y_test_rfr4</span> <span class="o">=</span> \
<span class="n">regression</span><span class="p">(</span><span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">108</span><span class="p">),</span> 
           <span class="n">X_train4</span><span class="p">,</span> <span class="n">X_test4</span><span class="p">,</span> <span class="n">y_train4</span><span class="p">)</span>

<span class="n">scores</span><span class="p">(</span><span class="s1">&#39;Random Forest Regressor </span><span class="se">\n</span><span class="s1">Average ELA Proficiency&#39;</span><span class="p">,</span> 
       <span class="n">y_train4</span><span class="p">,</span> <span class="n">y_test4</span><span class="p">,</span> <span class="n">y_train_rfr4</span><span class="p">,</span> <span class="n">y_test_rfr4</span><span class="p">)</span>
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<pre>_______________________________________
Random Forest Regressor 
Average ELA Proficiency
_______________________________________
EV score. Train:  0.9778183584083362
EV score. Test:  0.8555095142150423
---------
R2 score. Train:  0.9777986137922231
R2 score. Test:  0.8554793746669374
---------
MSE score. Train:  0.0027916925270111553
MSE score. Test:  0.02075638556655154
---------
MAE score. Train:  0.03750855442053002
MAE score. Test:  0.10170751028806581
---------
MdAE score. Train:  0.02805555555555861
MdAE score. Test:  0.0735185185185192
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<h2>&#x1F310; &nbsp; Display Predictions</h2>

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<h4 id="The-first-set-of-features">The first set of features<a class="anchor-link" href="#The-first-set-of-features">&#182;</a></h4>
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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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Real Data&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_gbr1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#3636ff&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_rfr1</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#ff3636&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Average Math Proficiency. Regressor Predictions vs Real Data&quot;</span><span class="p">);</span>
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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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test2</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Real Data&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_gbr2</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#3636ff&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_rfr2</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#ff3636&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Average ELA Proficiency. Regressor Predictions vs Real Data&quot;</span><span class="p">);</span>
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<h4 id="The-second-set-of-features">The second set of features<a class="anchor-link" href="#The-second-set-of-features">&#182;</a></h4>
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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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test3</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Real Data&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_gbr3</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#3636ff&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_rfr3</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#ff3636&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Average Math Proficiency. Regressor Predictions vs Real Data&quot;</span><span class="p">);</span>
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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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test4</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Real Data&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_gbr4</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#3636ff&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">y_test_rfr4</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">50</span><span class="p">],</span><span class="s1">&#39;-o&#39;</span><span class="p">,</span><span class="n">color</span><span class="o">=</span><span class="s1">&#39;#ff3636&#39;</span><span class="p">,</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest&#39;</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Average ELA Proficiency. Regressor Predictions vs Real Data&quot;</span><span class="p">);</span>
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<p>Both sets of variables in the presented database about the financial situation, social environment, ethnic composition, geodata, and test results of each grade  make it possible to predict the indicators of learning outcomes <code>Average Math Proficiency</code>, <code>Average ELA Proficiency</code> quite well.</p>
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<li>0.85-0.90 is a really high level for <code>R2</code> - <a href="http://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html#sklearn.metrics.r2_score">(coefficient of determination)</a></li>
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<h2>&#x1F310; &nbsp; Features' Importance</h2>

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<h4 id="The-first-set-of-features">The first set of features<a class="anchor-link" href="#The-first-set-of-features">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_importance1</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">138</span><span class="p">))</span>

<span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">138</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train1</span><span class="p">,</span> <span class="n">y_train1</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">138</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train1</span><span class="p">,</span> <span class="n">y_train1</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">276</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train2</span><span class="p">,</span> <span class="n">y_train2</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">=</span> <span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">276</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train2</span><span class="p">,</span> <span class="n">y_train2</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmap</span> <span class="o">=</span> <span class="n">cm</span><span class="o">.</span><span class="n">get_cmap</span><span class="p">(</span><span class="s1">&#39;Spectral&#39;</span><span class="p">,</span><span class="mi">4</span><span class="p">)</span>
<span class="n">spectral_cmap</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">cmap</span><span class="o">.</span><span class="n">N</span><span class="p">):</span>
    <span class="n">rgb</span> <span class="o">=</span> <span class="n">cmap</span><span class="p">(</span><span class="n">i</span><span class="p">)[:</span><span class="mi">3</span><span class="p">]</span>
    <span class="n">spectral_cmap</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">mcolors</span><span class="o">.</span><span class="n">rgb2hex</span><span class="p">(</span><span class="n">rgb</span><span class="p">))</span>
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<div class="prompt input_prompt">In&nbsp;[106]:</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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>
<span class="n">n</span><span class="o">=</span><span class="mi">15</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting. Maths&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest. Maths&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> 
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting. ELA&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span> 
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest. ELA&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Importance of the Features. Set 1&quot;</span><span class="p">);</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">index_gbr_math1</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">20</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_rfr_math1</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">20</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_gbr_ela1</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">20</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_rfr_ela1</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance1</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">20</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
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<p>The most influential indicators for the variable <code>Average Math Proficiency</code>:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">features1</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">numeric_list</span><span class="p">]</span>
<span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_gbr_math1</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_rfr_math1</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">el</span><span class="p">)</span>
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<pre>Economic Need Index
Percent Black / Hispanic
Student Attendance Rate
Supportive Environment %
Grade 5 Math 4s - All Students
Latitude
Percent ELL
Percent of Students Chronically Absent
Longitude
Grade 8 Math - All Students Tested
Strong Family-Community Ties %
Rigorous Instruction %
Grade 4 Math 4s - All Students
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<p>The most influential indicators for the variable <code>Average ELA Proficiency</code>:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_gbr_ela1</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features1</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_rfr_ela1</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">el</span><span class="p">)</span>
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<pre>Economic Need Index
Longitude
School Income Estimate
Supportive Environment %
Percent Black / Hispanic
Percent Black
Rigorous Instruction %
Percent Hispanic
Percent of Students Chronically Absent
Strong Family-Community Ties %
Percent ELL
Grade 3 Math 4s - All Students
Grade 5 ELA 4s - All Students
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<h4 id="The-second-set-of-features">The second set of features<a class="anchor-link" href="#The-second-set-of-features">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_importance2</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">149</span><span class="p">))</span>

<span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">81</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train3</span><span class="p">,</span> <span class="n">y_train3</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">81</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train3</span><span class="p">,</span> <span class="n">y_train3</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="n">GradientBoostingRegressor</span><span class="p">(</span><span class="n">max_depth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">n_estimators</span><span class="o">=</span><span class="mi">108</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train4</span><span class="p">,</span> <span class="n">y_train4</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
<span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="o">=</span> <span class="n">RandomForestRegressor</span><span class="p">(</span><span class="n">n_estimators</span><span class="o">=</span><span class="mi">54</span><span class="p">)</span>\
<span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">X_train4</span><span class="p">,</span> <span class="n">y_train4</span><span class="p">)</span><span class="o">.</span><span class="n">feature_importances_</span>
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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">14</span><span class="p">,</span><span class="mi">7</span><span class="p">))</span>
<span class="n">n</span><span class="o">=</span><span class="mi">15</span>

<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting. Maths&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest. Maths&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Gradient Boosting. ELA&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">][:</span><span class="n">n</span><span class="p">],</span><span class="s1">&#39;-v&#39;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">spectral_cmap</span><span class="p">[</span><span class="mi">3</span><span class="p">],</span><span class="n">label</span><span class="o">=</span><span class="s1">&#39;Random Forest. ELA&#39;</span><span class="p">,</span>
         <span class="n">markersize</span><span class="o">=</span><span class="mi">7</span><span class="p">,</span><span class="n">markerfacecolor</span><span class="o">=</span><span class="s2">&quot;None&quot;</span><span class="p">,</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>

<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s2">&quot;Importance of the Features. Set 2&quot;</span><span class="p">);</span>
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<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[100]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">index_gbr_math2</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">0</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">15</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_rfr_math2</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">1</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">15</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_gbr_ela2</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">2</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">15</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
<span class="n">index_rfr_ela2</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df_importance2</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="mi">3</span><span class="p">,]</span><span class="o">.</span><span class="n">sort_values</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">15</span><span class="p">]</span><span class="o">.</span><span class="n">index</span><span class="p">)</span>
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<p>The most influential indicators for the variable <code>Average Math Proficiency</code>:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">features2</span> <span class="o">=</span> <span class="n">school_explorer</span><span class="p">[</span><span class="n">features_list</span><span class="p">]</span>
<span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features2</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_gbr_math2</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features2</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_rfr_math2</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">el</span><span class="p">)</span>
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<pre>Economic Need Index
Percent Black / Hispanic
Student Attendance Rate
Student Achievement Rating
Grade 5 Math 4s - All Students
Percent ELL
Supportive Environment %
Percent of Students Chronically Absent
Grade 3 Math 4s - All Students
Strong Family-Community Ties %
Grade 4 Math 4s - All Students
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<p>The most influential indicators for the variable <code>Average ELA Proficiency</code>:</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features2</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_gbr_ela2</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
    <span class="k">if</span> <span class="n">el</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">features2</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="n">index_rfr_ela2</span><span class="p">]</span><span class="o">.</span><span class="n">columns</span><span class="p">):</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">el</span><span class="p">)</span>
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<pre>Economic Need Index
Supportive Environment %
Percent Black / Hispanic
Percent of Students Chronically Absent
Student Achievement Rating
Strong Family-Community Ties %
Percent ELL
Student Attendance Rate
Longitude
Grade 5 ELA 4s - All Students
Grade 5 Math 4s - All Students
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<p>In general, we can make a list of the most influential indicators for the educational results.</p>
<ul>
<li>Financial: <code>Economic Need Index</code></li>
<li>Social: <code>Supportive Environment</code></li>
<li>Organizational: <code>Student Attendance Rate</code>, <code>Student Achievement Rating</code>, <code>Percent of Students Chronically Absent</code></li>
<li>Linguistical: <code>Percent ELL</code></li>
<li>Demographic: <code>Percent Black / Hispanic</code></li>
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